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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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Các tiêu chí thông tin, chẳng hạn như Tiêu chí Thông tin Akaike (\u003Cjats:styled-content style=\"fixed-case\">AIC\u003C\u002Fjats:styled-content>), thường được trình bày như các công cụ so sánh mô hình cho các mô hình hỗn hợp.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Tuy nhiên, việc trình bày ‘phương sai giải thích’ (\u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup>) như một thống kê tóm tắt có liên quan của các mô hình hỗn hợp là điều hiếm gặp, mặc dù \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> thường được báo cáo cho các mô hình tuyến tính (\u003Cjats:styled-content style=\"fixed-case\">LM\u003C\u002Fjats:styled-content>s) và cả các mô hình tuyến tính tổng quát (\u003Cjats:styled-content style=\"fixed-case\">GLM\u003C\u002Fjats:styled-content>s). \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> có đặc tính cực kỳ hữu ích là cung cấp giá trị tuyệt đối cho độ khớp của một mô hình, điều mà các tiêu chí thông tin không thể cung cấp. Như một thống kê tóm tắt mô tả lượng phương sai được giải thích, \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> cũng có thể là một đại lượng có ý nghĩa sinh học.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Một lý do cho việc thiếu appreciation đối với \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> trong các mô hình hỗn hợp nằm ở thực tế rằng \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> có thể được định nghĩa theo nhiều cách khác nhau. Hơn nữa, hầu hết các định nghĩa của \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> cho các mô hình hỗn hợp có các vấn đề lý thuyết (ví dụ: giá trị \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> giảm hoặc âm trong các mô hình lớn hơn) và\u002Fhoặc việc sử dụng chúng gặp khó khăn với các vấn đề thực tiễn (ví dụ: việc thực hiện).\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Tại đây, chúng tôi đề xuất tầm quan trọng của việc báo cáo \u003Cjats:italic>R\u003C\u002Fjats italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> cho các mô hình hỗn hợp. Chúng tôi đầu tiên cung cấp các định nghĩa phổ biến của \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> cho \u003Cjats:styled-content style=\"fixed-case\">LM\u003C\u002Fjats:styled-content>s và \u003Cjats:styled-content style=\"fixed-case\">GLM\u003C\u002Fjats:styled-content>s và thảo luận về các vấn đề chính liên quan đến việc tính toán \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> cho các mô hình hỗn hợp. Sau đó, chúng tôi khuyến nghị một phương pháp tổng quát và đơn giản để tính toán hai loại \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> (marginal và conditional \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup>) cho cả \u003Cjats:styled-content style=\"fixed-case\">LMM\u003C\u002Fjats:styled-content>s và \u003Cjats:styled-content style=\"fixed-case\">GLMM\u003C\u002Fjats:styled-content>s, ít bị ảnh hưởng bởi các vấn đề thường gặp.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Phương pháp này được minh họa qua các ví dụ và có thể được sử dụng rộng rãi bởi các nhà nghiên cứu trong mọi lĩnh vực nghiên cứu, bất kể gói phần mềm nào được sử dụng để phù hợp với các mô hình hỗn hợp. Phương pháp được đề xuất có khả năng tạo điều kiện cho việc trình bày \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> cho nhiều hoàn cảnh khác nhau.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\u003C\u002Fjats:list>\n\u003C\u002Fjats:p>","\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p>\n\u003Cjats:list>\n\n\u003Cjats:list-item>\u003Cjats:p>The use of both linear and generalized linear mixed‐effects models (\u003Cjats:styled-content style=\"fixed-case\">LMM\u003C\u002Fjats:styled-content>s and \u003Cjats:styled-content style=\"fixed-case\">GLMM\u003C\u002Fjats:styled-content>s) has become popular not only in social and medical sciences, but also in biological sciences, especially in the field of ecology and evolution. Information criteria, such as Akaike Information Criterion (\u003Cjats:styled-content style=\"fixed-case\">AIC\u003C\u002Fjats:styled-content>), are usually presented as model comparison tools for mixed‐effects models.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>The presentation of ‘variance explained’ (\u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup>) as a relevant summarizing statistic of mixed‐effects models, however, is rare, even though \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> is routinely reported for linear models (\u003Cjats:styled-content style=\"fixed-case\">LM\u003C\u002Fjats:styled-content>s) and also generalized linear models (\u003Cjats:styled-content style=\"fixed-case\">GLM\u003C\u002Fjats:styled-content>s). \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> has the extremely useful property of providing an absolute value for the goodness‐of‐fit of a model, which cannot be given by the information criteria. As a summary statistic that describes the amount of variance explained, \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> can also be a quantity of biological interest.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>One reason for the under‐appreciation of \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> for mixed‐effects models lies in the fact that \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> can be defined in a number of ways. Furthermore, most definitions of \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> for mixed‐effects have theoretical problems (e.g. decreased or negative \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> values in larger models) and\u002For their use is hindered by practical difficulties (e.g. implementation).\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Here, we make a case for the importance of reporting \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> for mixed‐effects models. We first provide the common definitions of \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> for \u003Cjats:styled-content style=\"fixed-case\">LM\u003C\u002Fjats:styled-content>s and \u003Cjats:styled-content style=\"fixed-case\">GLM\u003C\u002Fjats:styled-content>s and discuss the key problems associated with calculating \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> for mixed‐effects models. We then recommend a general and simple method for calculating two types of \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> (marginal and conditional \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup>) for both \u003Cjats:styled-content style=\"fixed-case\">LMM\u003C\u002Fjats:styled-content>s and \u003Cjats:styled-content style=\"fixed-case\">GLMM\u003C\u002Fjats:styled-content>s, which are less susceptible to common problems.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>This method is illustrated by examples and can be widely employed by researchers in any fields of research, regardless of software packages used for fitting mixed‐effects models. The proposed method has the potential to facilitate the presentation of \u003Cjats:italic>R\u003C\u002Fjats:italic>\u003Cjats:sup>2\u003C\u002Fjats:sup> for a wide range of circumstances.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\u003C\u002Fjats:list>\n\u003C\u002Fjats:p>",{"EN":1001,"VI":1002},"A general and simple method for obtaining \u003Ci>R\u003C\u002Fi>\u003Csup>2\u003C\u002Fsup> from generalized linear mixed‐effects models","Một phương pháp tổng quát và đơn giản để tính toán \u003Ci>R\u003C\u002Fi>\u003Csup>2\u003C\u002Fsup> từ các mô hình hỗn hợp tuyến tính tổng quát",{"VI":1004},"mô hình hỗn hợp, R2, phân tích thống kê, sinh học, sinh thái học",{"VOID":1006},"10.1111\u002Fj.2041-210x.2012.00261.x","PUBLICATION","Auto Verify",[31],[30],"https:\u002F\u002Fbesjournals.onlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.2041-210x.2012.00261.x",[1013,1040],{"id":1014,"sortIndex":32,"researcher":28,"roles":1015,"affiliations":1016,"properties":1033,"displayName":1037,"givenName":28,"familyName":28},"22a2b628-208c-439f-9e6a-468990c95748",[],[1017,1025],{"id":1018,"sortIndex":32,"affiliation":1019,"properties":28},"2763b72b-df41-49d9-b4c5-9a44038a88e9",{"id":1018,"createTime":28,"updateTime":28,"relativeEntities":1020,"slug":28,"properties":1021,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1024,"statistic":28},[],{"title":1022},{"EN":1023},"Department of Behavioral Ecology and Evolutionary Genetics Max Planck Institute for Ornithology Eberhard‐Gwinner‐Straße, 82319 Seewiesen 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tắt\u003C\u002Fjats:title>\u003Cjats:p>\u003Cjats:bold>1.\u003C\u002Fjats:bold> Tại đây, tôi trình bày một gói phần mềm phát sinh chủng loài đa chức năng mới, phytools, dành cho môi trường tính toán thống kê R.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>2.\u003C\u002Fjats:bold> Trọng tâm của gói này là các phương pháp cho sinh học so sánh phát sinh chủng loài; tuy nhiên, nó cũng bao gồm các công cụ cho việc suy diễn cây, nhập\u002Fxuất phát sinh chủng loài, vẽ đồ thị, thao tác và một số nhiệm vụ khác.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats.bold>3.\u003C\u002Fjats.bold> Tôi mô tả và lập bảng các phương pháp chính được triển khai trong phytools, và bên cạnh đó cung cấp một số minh họa về cách sử dụng nó dưới dạng hai ví dụ tiêu biểu.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>4.\u003C\u002Fjats.bold> Cuối cùng, tôi kết luận bằng cách mô tả ngắn gọn một blog trực tuyến mà tôi sử dụng để tài liệu hóa các phát triển hiện tại và tương lai cho phytools. 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A Practical Information-Theoretic Approach",{},{"id":28,"text":1679,"url":28,"identifiers":1680},"Cameron, 1998, Regression Analysis of Count Data, 10.1017\u002FCBO9780511814365",{"doi":1681},"10.1017\u002FCBO9780511814365",{"id":28,"text":1683,"url":28,"identifiers":1684},"Carroll, 2006, Measurement Error in Nonlinear Models: A Modern Perspective, 10.1201\u002F9781420010138",{"doi":1685},"10.1201\u002F9781420010138",{"id":28,"text":1687,"url":28,"identifiers":1688},"Chatfield, 1998, Problem Solving: A Statistician’s Guide",{},{"id":28,"text":1690,"url":28,"identifiers":1691},"Cleveland, 1993, Visualizing Data",{},{"id":28,"text":1693,"url":28,"identifiers":1694},"Draper, 1998, Applied Regression Analysis, 10.1002\u002F9781118625590",{"doi":1164},{"id":28,"text":1696,"url":28,"identifiers":1697},"Ellison, 2004, Bayesian inference in ecology, Ecology Letters, 7, 509, 10.1111\u002Fj.1461-0248.2004.00603.x",{"doi":1698},"10.1111\u002Fj.1461-0248.2004.00603.x",{"id":28,"text":1700,"url":28,"identifiers":1701},"Elphick, 1998, Winter management of Californian rice fields for waterbirds, Journal of Applied Ecology, 35, 95, 10.1046\u002Fj.1365-2664.1998.00274.x",{"doi":1702},"10.1046\u002Fj.1365-2664.1998.00274.x",{"id":28,"text":1704,"url":28,"identifiers":1705},"Elphick, 2003, Conservation implications of flooding rice fields on winter waterbird communities, Agriculture, Ecosystems and Environment, 94, 17, 10.1016\u002FS0167-8809(02)00022-1",{"doi":1706},"10.1016\u002FS0167-8809(02)00022-1",{"id":28,"text":1708,"url":28,"identifiers":1709},"Fitzmaurice, 2004, Applied Longitudinal Analysis",{},{"id":28,"text":1711,"url":28,"identifiers":1712},"Fox, 2008, Applied Regression Analysis and Generalized Linear Models",{},{"id":28,"text":1714,"url":28,"identifiers":1715},"Gelman, 2002, Let’s practice what we preach: turning tables into graphs in statistic research, The American Statistician, 56, 121, 10.1198\u002F000313002317572790",{"doi":1716},"10.1198\u002F000313002317572790",{"id":28,"text":1718,"url":28,"identifiers":1719},"Gjerdrum, 2005, What determines nest site selection and nesting success in saltmarsh breeding sparrows?, Condor, 107, 849, 10.1093\u002Fcondor\u002F107.4.849",{"doi":1720},"10.1093\u002Fcondor\u002F107.4.849",{"id":28,"text":1722,"url":28,"identifiers":1723},"Gjerdrum, 2008, How well can we model numbers and productivity of saltmarsh sharp-tailed sparrows (Ammodramus caudacutus) using habitat features?, Auk, 125, 608, 10.1525\u002Fauk.2008.07029",{"doi":1724},"10.1525\u002Fauk.2008.07029",{"id":28,"text":1726,"url":28,"identifiers":1727},"Harvey, 1989, Forecasting, Structural Time Series Models and the Kalman Filter",{},{"id":28,"text":1729,"url":28,"identifiers":1730},"Hilbe, 2007, Negative Binomial Regression, 10.1017\u002FCBO9780511811852",{"doi":1731},"10.1017\u002FCBO9780511811852",{"id":28,"text":1733,"url":28,"identifiers":1734},"Hurlbert, 1984, Pseudoreplication and the design of ecological field experiments, 54, 187",{},{"id":28,"text":1736,"url":28,"identifiers":1737},"Jolliffe, 2002, Principal Component Analysis",{},{"id":28,"text":1739,"url":28,"identifiers":1740},"Koper, 2009, Generalized estimating equations and generalized linear mixed-effects models for modelling resources selection, Journal of Applied Ecology, 46, 590, 10.1111\u002Fj.1365-2664.2009.01642.x",{"doi":1741},"10.1111\u002Fj.1365-2664.2009.01642.x",{"id":28,"text":1743,"url":28,"identifiers":1744},"Läärä, 2009, Statistics: reasoning on uncertainty, and the insignificance of testing null, Annales Zoologici Fennici, 46, 138, 10.5735\u002F086.046.0206",{"doi":1745},"10.5735\u002F086.046.0206",{"id":28,"text":1747,"url":28,"identifiers":1748},"Law, 2009, Ecological information from spatial patterns of plants: insights from point process theory, Journal of Ecology, 97, 616, 10.1111\u002Fj.1365-2745.2009.01510.x",{"doi":1749},"10.1111\u002Fj.1365-2745.2009.01510.x",{"id":28,"text":1751,"url":28,"identifiers":1752},"Legendre, 1998, Numerical Ecology",{},{"id":28,"text":1754,"url":28,"identifiers":1755},"Montgomery, 1992, Introduction to Linear Regression Analysis",{},{"id":28,"text":1757,"url":28,"identifiers":1758},"Morgan, 2004, Remarks on the taking and recording of biometric measurements in bird ringing, The Ring, 26, 71, 10.2478\u002Fv10050-008-0058-2",{"doi":1759},"10.2478\u002Fv10050-008-0058-2",{"id":28,"text":1761,"url":28,"identifiers":1762},"Mosteller, 1977, Data Analysis and Regression: A Second Course in Statistics",{},{"id":28,"text":1764,"url":28,"identifiers":1765},"Ostrom, 1990, Time Series Analysis: Regression Techniques, 10.4135\u002F9781412986366",{"doi":1766},"10.4135\u002F9781412986366",{"id":28,"text":1768,"url":28,"identifiers":1769},"Pinheiro, 2000, Mixed Effects Models in S and S-Plus, 10.1007\u002F978-1-4419-0318-1",{"doi":1221},{"id":28,"text":1771,"url":28,"identifiers":1772},"Pullin, 2009, Doing more good than harm - building an evidence-based for conservation and environmental management, Biological Conservation, 142, 931, 10.1016\u002Fj.biocon.2009.01.010",{"doi":1773},"10.1016\u002Fj.biocon.2009.01.010",{"id":28,"text":1775,"url":28,"identifiers":1776},"Quinn, 2002, Experimental Design and Data Analysis for Biologists, 10.1017\u002FCBO9780511806384",{"doi":1777},"10.1017\u002FCBO9780511806384",{"id":28,"text":1779,"url":28,"identifiers":1780},"R Development Core Team, 2009, R: A Language and Environment for Statistical Computing",{},{"id":28,"text":1782,"url":28,"identifiers":1783},"Roberts, 2006, Are review articles a reliable source of evidence to support conservation and environmental management? A comparison with medicine, Biological Conservation, 132, 409, 10.1016\u002Fj.biocon.2006.04.034",{"doi":1784},"10.1016\u002Fj.biocon.2006.04.034",{"id":28,"text":1786,"url":28,"identifiers":1787},"Robinson, 2008, Correcting for spatial autocorrelation in sequential sampling, Journal of Applied Ecology, 45, 1221, 10.1111\u002Fj.1365-2664.2008.01485.x",{"doi":1788},"10.1111\u002Fj.1365-2664.2008.01485.x",{"id":28,"text":1790,"url":28,"identifiers":1791},"Sarkar, 2008, Lattice: Multivariate Data Visualization with R, 10.1007\u002F978-0-387-75969-2",{"doi":1792},"10.1007\u002F978-0-387-75969-2",{"id":28,"text":1794,"url":28,"identifiers":1795},"Schabenberger, 2002, Contemporary Statistical Models for the Plant and Soil Sciences",{},{"id":28,"text":1797,"url":28,"identifiers":1798},"Sonderegger, 2009, Using SiZer to detect thresholds in ecological data, Frontiers in Ecology and the Environment, 7, 190, 10.1890\u002F070179",{"doi":1799},"10.1890\u002F070179",{"id":28,"text":1801,"url":28,"identifiers":1802},"Stephens, 2005, Information theory and hypothesis testing: a call for pluralism, Journal of Applied Ecology, 42, 4, 10.1111\u002Fj.1365-2664.2005.01002.x",{"doi":1803},"10.1111\u002Fj.1365-2664.2005.01002.x",{"id":28,"text":1805,"url":28,"identifiers":1806},"ter Braak, 1995, Canonical correspondence analysis and related multivariate methods in aquatic ecology, Aquatic Science, 57, 225, 10.1007\u002FBF00877430",{"doi":1807},"10.1007\u002FBF00877430",{"id":28,"text":1809,"url":28,"identifiers":1810},"Wood, 2006, Generalized Additive Models. An Introdcution with R. Chapman Hall\u002FCRC, 10.1201\u002F9781420010404",{"doi":1811},"10.1201\u002F9781420010404",{"id":28,"text":1813,"url":28,"identifiers":1814},"Zuur, 2009a, Mixed Effects Models and Extensions in Ecology with R, 10.1007\u002F978-0-387-87458-6",{"doi":1815},"10.1007\u002F978-0-387-87458-6",{"id":28,"text":1817,"url":28,"identifiers":1818},"Zuur, 2007, Analysing Ecological Data, 10.1007\u002F978-0-387-45972-1",{"doi":1819},"10.1007\u002F978-0-387-45972-1",{"id":28,"text":1821,"url":28,"identifiers":1822},"Zuur, 2009b, A Beginner’s Guide to R, 10.1007\u002F978-0-387-93837-0",{"doi":1823},"10.1007\u002F978-0-387-93837-0",{"id":1825,"createTime":1826,"updateTime":1827,"relativeEntities":1828,"slug":1829,"properties":1830,"entityType":1007,"verifyStatus":26,"verifyTime":1826,"verifyNote":1008,"languages":1844,"translateLanguages":1845,"viewCount":32,"primaryUrl":1846,"fullTextUrl":28,"authors":1847,"publicationType":1059,"publisherRelationship":1935,"citationCount":1989,"citationInfo":1990,"publishDate":1999,"publishYear":1991,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":2000,"openAccess":28,"references":2001,"isForceReanalyzing":1265},"a758161b-7c98-4696-bd79-7278d2dab1c7","2024-08-31T21:53:08.004+00:00","2024-12-31T10:03:07.187+00:00",[],"-scp-ggtree-scp-an-scp-r-scp-package-for-visualization-and-annotation-of-phylogenetic-trees-with-their-covariates-and-other-associated-data",{"openalex":1831,"mag":1833,"abstract":1835,"title":1838,"keywords":1841,"doi":1842},{"VOID":1832},"W2513727910",{"VOID":1834},"2513727910",{"VI":1836,"EN":1837},"\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p>\n\u003Cjats:list>\n\n\u003Cjats:list-item>\u003Cjats:p>Chúng tôi giới thiệu gói \u003Cjats:sc>r\u003C\u002Fjats:sc>, \u003Cjats:sc>ggtree\u003C\u002Fjats:sc>, cung cấp hình ảnh hóa có thể lập trình và chú thích cho các cây phát sinh loài.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>\u003Cjats:sc>ggtree\u003C\u002Fjats:sc> có thể đọc nhiều định dạng tệp cây hơn so với các phần mềm khác, bao gồm các định dạng \u003Cjats:italic>newick\u003C\u002Fjats:italic>, \u003Cjats:italic>nexus\u003C\u002Fjats:italic>, \u003Cjats:italic>NHX\u003C\u002Fjats:italic>, \u003Cjats:italic>phylip\u003C\u002Fjats:italic> và \u003Cjats:italic>jplace\u003C\u002Fjats:italic>, và hỗ trợ hình ảnh hóa các đối tượng cây \u003Cjats:italic>phylo, multiphylo, phylo4, phylo4d, obkdata\u003C\u002Fjats:italic> và \u003Cjats:italic>phyloseq\u003C\u002Fjats:italic> được định nghĩa trong các gói \u003Cjats:sc>r\u003C\u002Fjats:sc> khác. Nó cũng có thể trích xuất các dữ liệu cụ thể về cây\u002Fnhánh\u002Fnút và các dữ liệu khác từ đầu ra phân tích của các phần mềm \u003Cjats:sc>beast\u003C\u002Fjats:sc>, \u003Cjats:sc>epa\u003C\u002Fjats:sc>, \u003Cjats:sc>hyphy\u003C\u002Fjats:sc>, \u003Cjats:sc>paml\u003C\u002Fjats:sc>, \u003Cjats:sc>phylodog\u003C\u002Fjats:sc>, \u003Cjats:sc>pplacer\u003C\u002Fjats:sc>, \u003Cjats:sc>r8s\u003C\u002Fjats:sc>, \u003Cjats:sc>raxml\u003C\u002Fjats:sc> và \u003Cjats:sc>revbayes\u003C\u002Fjats:sc>, và cho phép sử dụng các dữ liệu này để chú thích cây.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Gói này cho phép tô màu và chú thích một cây dựa trên thuộc tính nút số\u002Fnhóm, thao tác một cây bằng cách xoay, thu gọn và phóng to các nhánh, làm nổi bật các nhánh hoặc đơn vị phân loại thuần túy do người dùng chọn và khám phá một cây lớn bằng cách phóng to vào một phần đã chọn.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Một cây hai chiều có thể được vẽ bằng cách điều chỉnh chiều rộng cây dựa trên một thuộc tính của các nút. Một cây có thể được chú thích với một ma trận số liên quan (dưới dạng bản đồ nhiệt), bố trí trình tự đa dạng, đồ thị con hoặc hình ảnh bóng.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Gói \u003Cjats:sc>ggtree\u003C\u002Fjats:sc> được phát hành dưới giấy phép \u003Cjats:sc>artistic-2.0\u003C\u002Fjats:sc>. Mã nguồn và tài liệu của nó có sẵn miễn phí qua \u003Cjats:sc>bioconductor\u003C\u002Fjats:sc> (\u003Cjats:ext-link xmlns:xlink=\"http:\u002F\u002Fwww.w3.org\u002F1999\u002Fxlink\" xlink:href=\"http:\u002F\u002Fwww.bioconductor.org\u002Fpackages\u002Fggtree\">http:\u002F\u002Fwww.bioconductor.org\u002Fpackages\u002Fggtree\u003C\u002Fjats:ext-link>).\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\u003C\u002Fjats:list>\n\u003C\u002Fjats:p>","\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p>\n\u003Cjats:list>\n\n\u003Cjats:list-item>\u003Cjats:p>We present an \u003Cjats:sc>r\u003C\u002Fjats:sc> package, \u003Cjats:sc>ggtree\u003C\u002Fjats:sc>, which provides programmable visualization and annotation of phylogenetic trees.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>\u003Cjats:sc>ggtree\u003C\u002Fjats:sc> can read more tree file formats than other softwares, including \u003Cjats:italic>newick\u003C\u002Fjats:italic>,\u003Cjats:italic> nexus\u003C\u002Fjats:italic>,\u003Cjats:italic> NHX\u003C\u002Fjats:italic>,\u003Cjats:italic> phylip\u003C\u002Fjats:italic> and \u003Cjats:italic>jplace\u003C\u002Fjats:italic> formats, and support visualization of \u003Cjats:italic>phylo, multiphylo, phylo4, phylo4d, obkdata\u003C\u002Fjats:italic> and \u003Cjats:italic>phyloseq\u003C\u002Fjats:italic> tree objects defined in other \u003Cjats:sc>r\u003C\u002Fjats:sc> packages. It can also extract the tree\u002Fbranch\u002Fnode‐specific and other data from the analysis outputs of \u003Cjats:sc>beast\u003C\u002Fjats:sc>,\u003Cjats:sc> epa\u003C\u002Fjats:sc>,\u003Cjats:sc> hyphy\u003C\u002Fjats:sc>,\u003Cjats:sc> paml\u003C\u002Fjats:sc>,\u003Cjats:sc> phylodog\u003C\u002Fjats:sc>,\u003Cjats:sc> pplacer\u003C\u002Fjats:sc>,\u003Cjats:sc> r8s\u003C\u002Fjats:sc>,\u003Cjats:sc> raxml\u003C\u002Fjats:sc> and \u003Cjats:sc>revbayes\u003C\u002Fjats:sc> software, and allows using these data to annotate the tree.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>The package allows colouring and annotation of a tree by numerical\u002Fcategorical node attributes, manipulating a tree by rotating, collapsing and zooming out clades, highlighting user selected clades or operational taxonomic units and exploration of a large tree by zooming into a selected portion.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>A two‐dimensional tree can be drawn by scaling the tree width based on an attribute of the nodes. A tree can be annotated with an associated numerical matrix (as a heat map), multiple sequence alignment, subplots or silhouette images.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>The package \u003Cjats:sc>ggtree\u003C\u002Fjats:sc> is released under the \u003Cjats:sc>artistic‐2.0 license\u003C\u002Fjats:sc>. 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Available at:http:\u002F\u002Ftree.bio.ed.ac.uk\u002Fsoftware\u002Ffigtree\u002F(accessed 10 March 2015).",{},{"id":28,"text":2065,"url":28,"identifiers":2066},"10.1111\u002Fj.2041-210X.2011.00169.x",{"doi":2065},{"id":28,"text":2068,"url":28,"identifiers":2069},"10.1002\u002Fjez.b.19",{"doi":2068},{"id":28,"text":2071,"url":28,"identifiers":2072},"10.1093\u002Fsysbio\u002Fsyu039",{"doi":2071},{"id":28,"text":2074,"url":28,"identifiers":2075},"10.1093\u002Fbioinformatics\u002Fbtu033",{"doi":2074},{"id":28,"text":2077,"url":28,"identifiers":2078},"10.1007\u002F978-0-387-98141-3",{"doi":2077},{"id":28,"text":2080,"url":28,"identifiers":2081},"Wilkinson L., 2005, The Grammar of Graphics",{},{"id":28,"text":2083,"url":28,"identifiers":2084},"10.1093\u002Fmolbev\u002Fmsm088",{"doi":2083},{"id":28,"text":2086,"url":28,"identifiers":2087},"Yu G., 2016, Data from: ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data, Methods in Ecology and Evolution",{},{"id":28,"text":2089,"url":28,"identifiers":2090},"10.1093\u002Fnar\u002Fgks576",{"doi":2089},{"id":2092,"createTime":2093,"updateTime":2094,"relativeEntities":2095,"slug":2096,"properties":2097,"entityType":1007,"verifyStatus":26,"verifyTime":2111,"verifyNote":1008,"languages":2112,"translateLanguages":2113,"viewCount":32,"primaryUrl":2114,"fullTextUrl":28,"authors":2115,"publicationType":1059,"publisherRelationship":2132,"citationCount":2185,"citationInfo":2186,"publishDate":2194,"publishYear":1651,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":2195,"openAccess":28,"references":2196,"isForceReanalyzing":1265},"0c9df121-4e98-4fe8-b1bf-7997c410eec7","2024-08-31T03:13:25.762+00:00","2024-12-31T10:04:05.787+00:00",[],"Simple-means-to-improve-the-interpretability-of-regression-coefficients",{"openalex":2098,"mag":2100,"abstract":2102,"title":2105,"keywords":2108,"doi":2109},{"VOID":2099},"W1609810996",{"VOID":2101},"1609810996",{"VI":2103,"EN":2104},"\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p> \u003Cjats:bold>1.\u003C\u002Fjats:bold> Các mô hình hồi quy tuyến tính là một công cụ thống kê quan trọng trong các nghiên cứu tiến hóa và sinh thái. Thật không may, những mô hình này thường cho ra những ước lượng và kiểm nghiệm giả thuyết không thể giải thích được, đặc biệt là khi các mô hình bao gồm sự tương tác hoặc các hạng tử đa thức. Hơn nữa, các sai số chuẩn cho các nhóm điều trị, mặc dù thường được quan tâm trong việc đưa vào một ấn phẩm, lại không có sẵn trực tiếp trong mô hình hồi quy tuyến tính chuẩn.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>2.\u003C\u002Fjats:bold> Việc trung tâm hóa và chuẩn hóa các biến đầu vào là những phương pháp đơn giản để cải thiện khả năng giải thích của các hệ số hồi quy. Hơn nữa, việc sửa lại mô hình với cấu trúc mô hình hơi thay đổi cho phép rút ra các sai số chuẩn thích hợp cho các nhóm điều trị trực tiếp từ mô hình.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>3.\u003C\u002Fjats:bold> Việc trung tâm hóa sẽ làm cho các hiệu ứng chính có thể giải thích về mặt sinh học ngay cả khi có liên quan đến các sự tương tác, do đó tránh được sự diễn giải sai có thể xảy ra của các hiệu ứng chính. Điều này cũng áp dụng cho việc ước lượng các hiệu ứng tuyến tính trong sự hiện diện của các đa thức. Các biến đầu vào phân loại cũng có thể được trung tâm hóa và điều này đôi khi hỗ trợ cho việc giải thích.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>4.\u003C\u002Fjats.bold> Việc chuẩn hóa (\u003Cjats:italic>z\u003C\u002Fjats:italic>‐biến đổi) các biến đầu vào sẽ dẫn đến việc ước lượng độ dốc chuẩn hóa hoặc các hệ số hồi quy phần chuẩn hóa. Các độ dốc chuẩn hóa có thể so sánh được về độ lớn trong các mô hình cũng như giữa các nghiên cứu. Chúng có một số lợi thế hơn các hệ số tương quan phần và thường là kích thước tác động chuẩn hóa thú vị hơn.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>5.\u003C\u002Fjats:bold> Việc loại bỏ một cách suy nghĩ các giao điểm hoặc hiệu ứng chính cho phép rút ra các trung bình điều trị hoặc độ dốc điều trị và các sai số chuẩn thích hợp của chúng trực tiếp từ một mô hình hồi quy tuyến tính. Điều này cung cấp một lựa chọn đơn giản thay thế cho việc tính sai số chuẩn phức tạp hơn từ các tương phản và các hiệu ứng chính.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>6.\u003C\u002Fjats:bold> Các phương pháp đơn giản được trình bày ở đây tập trung vào ước lượng tham số (ước lượng điểm cũng như khoảng tin cậy) hơn là vào ngưỡng ý nghĩa. Chúng cho phép điều chỉnh các mô hình phức tạp nhưng có nghĩa có thể được trình bày và giải thích một cách ngắn gọn. Các phương pháp được trình bày cũng có thể áp dụng cho các mô hình hồi quy tuyến tính tổng quát (GLM) và các mô hình hồi quy hỗn hợp tuyến tính.","\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p> \u003Cjats:bold>1.\u003C\u002Fjats:bold> Linear regression models are an important statistical tool in evolutionary and ecological studies. Unfortunately, these models often yield some uninterpretable estimates and hypothesis tests, especially when models contain interactions or polynomial terms. Furthermore, the standard errors for treatment groups, although often of interest for including in a publication, are not directly available in a standard linear model.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>2.\u003C\u002Fjats:bold> Centring and standardization of input variables are simple means to improve the interpretability of regression coefficients. Further, refitting the model with a slightly modified model structure allows extracting the appropriate standard errors for treatment groups directly from the model.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>3.\u003C\u002Fjats:bold> Centring will make main effects biologically interpretable even when involved in interactions and thus avoids the potential misinterpretation of main effects. This also applies to the estimation of linear effects in the presence of polynomials. Categorical input variables can also be centred and this sometimes assists interpretation.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>4.\u003C\u002Fjats:bold> Standardization (\u003Cjats:italic>z\u003C\u002Fjats:italic>‐transformation) of input variables results in the estimation of standardized slopes or standardized partial regression coefficients. Standardized slopes are comparable in magnitude within models as well as between studies. They have some advantages over partial correlation coefficients and are often the more interesting standardized effect size.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>5.\u003C\u002Fjats:bold> The thoughtful removal of intercepts or main effects allows extracting treatment means or treatment slopes and their appropriate standard errors directly from a linear model. This provides a simple alternative to the more complicated calculation of standard errors from contrasts and main effects.\u003C\u002Fjats:p>\u003Cjats:p> \u003Cjats:bold>6.\u003C\u002Fjats:bold> The simple methods presented here put the focus on parameter estimation (point estimates as well as confidence intervals) rather than on significance thresholds. They allow fitting complex, but meaningful models that can be concisely presented and interpreted. 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Schuster , E.G. 1994 Identifying proxy sets in multiple linear regression: an aid to better coefficient interpretation Intermountain Research Station, USDA Forest Service",{},{"id":28,"text":2491,"url":28,"identifiers":2492},"Broennimann, 2008, Predicting current and future biological invasions: both native and invaded ranges matter, Biology Letters, 4, 585, 10.1098\u002Frsbl.2008.0254",{"doi":2493},"10.1098\u002Frsbl.2008.0254",{"id":28,"text":2495,"url":28,"identifiers":2496},"Broennimann, 2007, Evidence of climatic niche shift during biological invasion, Ecology Letters, 10, 701, 10.1111\u002Fj.1461-0248.2007.01060.x",{"doi":2497},"10.1111\u002Fj.1461-0248.2007.01060.x",{"id":28,"text":2499,"url":28,"identifiers":2500},"Buisson, 2009, Uncertainty in ensemble forecasting of species distribution, Global Change Biology, 16, 1145, 10.1111\u002Fj.1365-2486.2009.02000.x",{"doi":2501},"10.1111\u002Fj.1365-2486.2009.02000.x",{"id":28,"text":2503,"url":28,"identifiers":2504},"Busby, 1991, Nature Conservation: Cost Effective Biological Surveys and Data Analysis, 64",{},{"id":28,"text":2506,"url":28,"identifiers":2507},"De Marco, 2008, Spatial analysis improves species distribution modelling during range expansion, Biology Letters, 4, 577, 10.1098\u002Frsbl.2008.0210",{"doi":2508},"10.1098\u002Frsbl.2008.0210",{"id":28,"text":2510,"url":28,"identifiers":2511},"Dormann, 2007, Promising the future? Global change projections of species distributions, Basic and Applied Ecology, 8, 387, 10.1016\u002Fj.baae.2006.11.001",{"doi":2512},"10.1016\u002Fj.baae.2006.11.001",{"id":28,"text":2514,"url":28,"identifiers":2515},"Elith, 2009, Species distribution models: ecological explanation and prediction across space and time, Annual Review of Ecology, Evolution, and Systematics, 40, 677, 10.1146\u002Fannurev.ecolsys.110308.120159",{"doi":2516},"10.1146\u002Fannurev.ecolsys.110308.120159",{"id":28,"text":2518,"url":28,"identifiers":2519},"Elith, 2008, A working guide to boosted regression trees, Journal of Animal Ecology, 77, 802, 10.1111\u002Fj.1365-2656.2008.01390.x",{"doi":2520},"10.1111\u002Fj.1365-2656.2008.01390.x",{"id":28,"text":2522,"url":28,"identifiers":2523},"Elith, 2006, Novel methods improve prediction of species’ distributions from occurrence data, Ecography, 29, 129, 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global scale, Global Change Biology, 11, 2234, 10.1111\u002Fj.1365-2486.2005.001018.x",{"doi":2703},"10.1111\u002Fj.1365-2486.2005.001018.x",{"id":28,"text":2705,"url":28,"identifiers":2706},"Thuiller, 2008, Predicting global change impacts on plant species’ distributions: future challenges, Perspectives in Plant Ecology, Evolution and Systematics, 9, 137, 10.1016\u002Fj.ppees.2007.09.004",{"doi":2707},"10.1016\u002Fj.ppees.2007.09.004",{"id":28,"text":2709,"url":28,"identifiers":2710},"Urban, 2007, The cane toad’s (Chaunus (Bufo) marinus) increasing ability to invade Australia is revealed by a dynamically updated range model, Proceedings of the Royal Society B-Biological Sciences, 274, 1413, 10.1098\u002Frspb.2007.0114",{"doi":2711},"10.1098\u002Frspb.2007.0114",{"id":28,"text":2713,"url":28,"identifiers":2714},"Warren, 2008, Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution, Evolution, 62, 2868, 10.1111\u002Fj.1558-5646.2008.00482.x",{"doi":2715},"10.1111\u002Fj.1558-5646.2008.00482.x",{"id":28,"text":2717,"url":28,"identifiers":2718},"Williams, 2007, Projected distributions of novel and disappearing climates by 2100 AD, Proceedings of the National Academy of Sciences, 104, 5738, 10.1073\u002Fpnas.0606292104",{"doi":2719},"10.1073\u002Fpnas.0606292104",{"id":28,"text":2721,"url":28,"identifiers":2722},"Zadrozny, 2004, Proceedings of the Twenty-First International Conference on Machine Learning, 114",{},{"id":28,"text":2724,"url":28,"identifiers":2725},"Zurrell, 2009, Static species distribution models in dynamically changing systems: how good can predictions really be?, Ecography, 31, 1",{},{"id":2727,"createTime":2728,"updateTime":2729,"relativeEntities":2730,"slug":2731,"properties":2732,"entityType":1007,"verifyStatus":26,"verifyTime":2728,"verifyNote":1008,"languages":2747,"translateLanguages":2748,"viewCount":32,"primaryUrl":2749,"fullTextUrl":28,"authors":2750,"publicationType":1059,"publisherRelationship":2787,"citationCount":2842,"citationInfo":2843,"publishDate":2851,"publishYear":2844,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":2852,"openAccess":28,"references":2853,"isForceReanalyzing":1265},"1a79d5da-7b70-44e6-aa1c-dc6337815bd6","2024-09-20T10:13:10.841+00:00","2024-12-24T23:35:19.713+00:00",[],"-scp-BORIS-scp-a-free-versatile-open-source-event-logging-software-for-video-audio-coding-and-live-observations",{"openalex":2733,"mag":2735,"abstract":2737,"title":2740,"keywords":2743,"doi":2745},{"VOID":2734},"W2346578806",{"VOID":2736},"2346578806",{"EN":2738,"VI":2739},"\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p>\n\u003Cjats:list>\n\n\u003Cjats:list-item>\u003Cjats:p>Quantitative aspects of the study of animal and human behaviour are increasingly relevant to test hypotheses and find empirical support for them. At the same time, photo and video cameras can store a large number of video recordings and are often used to monitor the subjects remotely. Researchers frequently face the need to code considerable quantities of video recordings with relatively flexible software, often constrained by species‐specific options or exact settings.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>\u003Cjats:styled-content style=\"fixed-case\">BORIS\u003C\u002Fjats:styled-content> is a free, open‐source and multiplatform standalone program that allows a user‐specific coding environment to be set for a computer‐based review of previously recorded videos or live observations. Being open to user‐specific settings, the program allows a project‐based ethogram to be defined that can then be shared with collaborators, or can be imported or modified.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Projects created in \u003Cjats:styled-content style=\"fixed-case\">BORIS\u003C\u002Fjats:styled-content> can include a list of observations, and each observation may include one or two videos (e.g. simultaneous screening of visual stimuli and the subject being tested; recordings from different sides of an aquarium). Once the user has set an ethogram, including state or point events or both, coding can be performed using previously assigned keys on the computer keyboard. \u003Cjats:styled-content style=\"fixed-case\">BORIS\u003C\u002Fjats:styled-content> allows definition of an unlimited number of events (states\u002Fpoint events) and subjects.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Once the coding process is completed, the program can extract a time‐budget or single or grouped observations automatically and present an at‐a‐glance summary of the main behavioural features. The observation data and time‐budget analysis can be exported in many common formats (\u003Cjats:styled-content style=\"fixed-case\">TSV\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> CSV\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> ODF\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> XLS\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> SQL\u003C\u002Fjats:styled-content> and \u003Cjats:styled-content style=\"fixed-case\">JSON\u003C\u002Fjats:styled-content>). The observed events can be plotted and exported in various graphic formats (\u003Cjats:styled-content style=\"fixed-case\">SVG\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> PNG\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> JPG\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> TIFF\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> EPS\u003C\u002Fjats:styled-content> and \u003Cjats:styled-content style=\"fixed-case\">PDF\u003C\u002Fjats:styled-content>).\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\u003C\u002Fjats:list>\n\u003C\u002Fjats:p>","\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p> \u003Cjats:list> \u003Cjats:list-item>\u003Cjats:p>Các khía cạnh định lượng trong nghiên cứu hành vi của động vật và con người ngày càng trở nên quan trọng để kiểm tra các giả thuyết và tìm kiếm sự hỗ trợ thực nghiệm cho chúng. Đồng thời, máy ảnh và máy quay video có thể lưu trữ một số lượng lớn các bản ghi video và thường được sử dụng để giám sát đối tượng từ xa. Các nhà nghiên cứu thường gặp phải nhu cầu mã hóa một lượng lớn các bản ghi video với phần mềm tương đối linh hoạt, thường bị giới hạn bởi các tùy chọn cụ thể của từng loài hoặc các cài đặt chính xác.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item> \u003Cjats:list-item>\u003Cjats:p>\u003Cjats:styled-content style=\"fixed-case\">BORIS\u003C\u002Fjats:styled-content> là một chương trình miễn phí, mã nguồn mở và đa nền tảng cho phép thiết lập một môi trường mã hóa phù hợp với người dùng để xem lại video đã ghi hoặc quan sát trực tiếp dựa trên máy tính. Chương trình này cho phép người dùng thiết lập một sơ đồ dự án dựa trên tập hợp hành vi có thể được chia sẻ với các cộng tác viên, hoặc có thể được nhập khẩu hoặc chỉnh sửa.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item> \u003Cjats:list-item>\u003Cjats:p>Các dự án được tạo trong \u003Cjats:styled-content style=\"fixed-case\">BORIS\u003C\u002Fjats:styled-content> có thể bao gồm một danh sách các quan sát, và mỗi quan sát có thể bao gồm một hoặc hai video (ví dụ: theo dõi đồng thời kích thích thị giác và đối tượng được kiểm tra; ghi âm từ các phía khác nhau của một bể cá). Một khi người sử dụng đã thiết lập sơ đồ hành vi, bao gồm sự kiện trạng thái hoặc điểm, hoặc cả hai, mã hóa có thể được thực hiện bằng các phím đã được chỉ định trước trên bàn phím máy tính. \u003Cjats:styled-content style=\"fixed-case\">BORIS\u003C\u002Fjats:styled-content> cho phép định nghĩa số lượng không giới hạn các sự kiện (trạng thái\u002Fsự kiện điểm) và đối tượng.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item> \u003Cjats:list-item>\u003Cjats:p>Sau khi quá trình mã hóa hoàn thành, chương trình có thể trích xuất ngân sách thời gian hoặc các quan sát đơn hoặc nhóm tự động và trình bày tóm tắt sơ lược về các đặc điểm hành vi chính. Dữ liệu quan sát và phân tích ngân sách thời gian có thể được xuất ra nhiều định dạng thông thường (\u003Cjats:styled-content style=\"fixed-case\">TSV\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> CSV\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> ODF\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> XLS\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> SQL\u003C\u002Fjats:styled-content> và \u003Cjats:styled-content style=\"fixed-case\">JSON\u003C\u002Fjats:styled-content>). Các sự kiện đã quan sát có thể được vẽ và xuất ra dưới nhiều định dạng đồ họa khác nhau (\u003Cjats:styled-content style=\"fixed-case\">SVG\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> PNG\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> JPG\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> TIFF\u003C\u002Fjats:styled-content>,\u003Cjats:styled-content style=\"fixed-case\"> EPS\u003C\u002Fjats:styled-content> và \u003Cjats:styled-content style=\"fixed-case\">PDF\u003C\u002Fjats:styled-content>).\u003C\u002Fjats:p>\u003C\u002Fjats:list-item> \u003C\u002Fjats:list> \u003C\u002Fjats:p>",{"EN":2741,"VI":2742},"\u003Cscp>BORIS\u003C\u002Fscp>: a free, versatile open‐source event‐logging software for video\u002Faudio coding and live observations","\u003Cscp>BORIS\u003C\u002Fscp>: phần mềm ghi nhật ký sự kiện đa năng, mã nguồn mở miễn phí cho việc mã hóa video\u002Fâm thanh và quan sát trực tiếp",{"VI":2744},"BORIS, mã nguồn mở, quan sát hành vi, mã hóa video, phần mềm đa nền tảng, phân tích ngân sách thời gian",{"VOID":2746},"10.1111\u002F2041-210x.12584",[31],[30],"https:\u002F\u002Fbesjournals.onlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002F2041-210X.12584",[2751,2770],{"id":2752,"sortIndex":32,"researcher":28,"roles":2753,"affiliations":2754,"properties":2763,"displayName":2767,"givenName":28,"familyName":28},"07ebc333-8778-4f9d-8b10-58b3315ece13",[],[2755],{"id":2756,"sortIndex":32,"affiliation":2757,"properties":28},"8493c082-f347-4535-82fb-3e4bdc8f2cb9",{"id":2756,"createTime":28,"updateTime":28,"relativeEntities":2758,"slug":28,"properties":2759,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2762,"statistic":28},[],{"title":2760},{"VI":2761},"Department of Life Sciences and Systems Biology, University of Torino, Via Accademia Albertina 13, Torino 10123, 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(2015).The Observer XT Reference Manualv. 12.5www.noldus.com",{},{"id":28,"text":2900,"url":28,"identifiers":2901},"10.3758\u002FBF03200802",{"doi":2900},{"id":28,"text":2903,"url":28,"identifiers":2904},"10.1007\u002FBF02735447",{"doi":2903},{"id":28,"text":2906,"url":28,"identifiers":2907},"10.1037\u002F0735-7036.123.1.1",{"doi":2906},{"id":28,"text":2909,"url":28,"identifiers":2910},"10.1002\u002Fajpa.20971",{"doi":2909},{"id":28,"text":2912,"url":28,"identifiers":2913},"10.1163\u002F156853997X00467",{"doi":2912},{"id":28,"text":2915,"url":28,"identifiers":2916},"10.1159\u002F000156353",{"doi":2915},{"id":28,"text":2918,"url":28,"identifiers":2919},"10.1007\u002Fs10329-012-0294-6",{"doi":2918},{"id":28,"text":2921,"url":28,"identifiers":2922},"10.1037\u002Fa0037697",{"doi":2921},{"id":28,"text":2924,"url":28,"identifiers":2925},"10.1016\u002FS0031-9384(01)00530-3",{"doi":2924},{"id":28,"text":2927,"url":28,"identifiers":2928},"10.1371\u002Fjournal.pone.0062995",{"doi":2927},{"id":28,"text":2930,"url":28,"identifiers":2931},"10.1007\u002Fs10329-012-0318-2",{"doi":2930},{"id":28,"text":2933,"url":28,"identifiers":2934},"10.1006\u002Fanbe.1993.1127",{"doi":2933},{"id":28,"text":2936,"url":28,"identifiers":2937},"Wilson N.(2002).Behavioural Strategies of the Ring‐Tailed Lemur (Lemur catta) in a Sub‐Desert Spiny Forest Habitat at Berenty Reserve. Ph.D. thesis Emory University USA.",{},{"id":2939,"createTime":2940,"updateTime":2941,"relativeEntities":2942,"slug":2943,"properties":2944,"entityType":1007,"verifyStatus":26,"verifyTime":2940,"verifyNote":1008,"languages":2958,"translateLanguages":2959,"viewCount":32,"primaryUrl":2960,"fullTextUrl":28,"authors":2961,"publicationType":1059,"publisherRelationship":3000,"citationCount":3054,"citationInfo":3055,"publishDate":3062,"publishYear":1359,"citationAnalyzeStatus":884,"lastCitationAnalyze":28,"indexDatabases":3063,"openAccess":28,"references":3064,"isForceReanalyzing":1265},"a0b43c65-b7b8-4bda-8a61-0a864cfbd648","2024-10-11T23:28:24.917+00:00","2024-12-31T10:05:01.949+00:00",[],"betapart-an-R-package-for-the-study-of-beta-diversity",{"openalex":2945,"mag":2947,"abstract":2949,"title":2952,"keywords":2955,"doi":2956},{"VOID":2946},"W1580156547",{"VOID":2948},"1580156547",{"VI":2950,"EN":2951},"\u003Cjats:title>Tóm tắt\u003C\u002Fjats:title>\u003Cjats:p>\u003Cjats:bold>1.\u003C\u002Fjats:bold> Đa dạng sinh học beta, tức là sự biến đổi trong thành phần loài giữa các địa điểm, có thể là kết quả của việc thay thế loài giữa các địa điểm (lưu chuyển) và sự mất mát loài giữa các địa điểm (tổn thương lồng ghép).\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>2.\u003C\u002Fjats:bold> Chúng tôi trình bày \u003Cjats:styled-content>betapart\u003C\u002Fjats:styled-content>, một gói R để tính toán độ khác biệt tổng thể dưới dạng chỉ số Sørensen hoặc Jaccard, cũng như các thành phần lưu chuyển và tổn thương lồng ghép tương ứng của chúng.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>3.\u003C\u002Fjats:bold> \u003Cjats:styled-content>betapart\u003C\u002Fjats:styled-content> cho phép đánh giá các mẫu không gian của đa dạng sinh học beta sử dụng các biện pháp khác biệt giữa nhiều địa điểm, tính đến sự không đồng nhất trong thành phần giữa vài địa điểm hoặc các biện pháp cặp đôi cung cấp ma trận khoảng cách tính đến cấu trúc đa biến của sự khác biệt.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>4.\u003C\u002Fjats:bold> \u003Cjats:styled-content>betapart\u003C\u002Fjats:styled-content> cũng cho phép tính toán các mẫu khác biệt theo thời gian trong thành phần quần xã, cùng với các thành phần lưu chuyển và tổn thương lồng ghép của nó.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>5.\u003C\u002Fjats.bold> Nhiều phân tích ví dụ được trình bày, sử dụng dữ liệu có trong gói, để minh họa sự phù hợp của việc phân tách các thành phần lưu chuyển và tổn thương lồng ghép của đa dạng sinh học beta nhằm suy diễn những cơ chế khác nhau đứng sau các mẫu đa dạng sinh học.","\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p>\u003Cjats:bold>1.\u003C\u002Fjats:bold> Beta diversity, that is, the variation in species composition among sites, can be the result of species replacement between sites (turnover) and species loss from site to site (nestedness).\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>2.\u003C\u002Fjats:bold> We present \u003Cjats:styled-content>betapart\u003C\u002Fjats:styled-content>, an R package for computing total dissimilarity as Sørensen or Jaccard indices, as well as their respective turnover and nestedness components.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>3.\u003C\u002Fjats:bold> \u003Cjats:styled-content>betapart\u003C\u002Fjats:styled-content> allows the assessment of spatial patterns of beta diversity using multiple‐site dissimilarity measures accounting for compositional heterogeneity across several sites or pairwise measures providing distance matrices accounting for the multivariate structure of dissimilarity.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>4.\u003C\u002Fjats:bold> \u003Cjats:styled-content>betapart\u003C\u002Fjats:styled-content> also allows computing patterns of temporal difference in assemblage composition, and its turnover and nestedness components.\u003C\u002Fjats:p>\u003Cjats:p>\u003Cjats:bold>5.\u003C\u002Fjats:bold> Several example analyses are shown, using the data included in the package, to illustrate the relevance of separating the turnover and nestedness components of beta diversity to infer different mechanisms behind biodiversity patterns.\u003C\u002Fjats:p>",{"EN":2953,"VI":2954},"betapart: an R package for the study of beta diversity","betapart: gói R dùng để nghiên cứu đa dạng sinh học beta",{"VI":1284},{"VOID":2957},"10.1111\u002Fj.2041-210x.2012.00224.x",[31],[30],"https:\u002F\u002Fbesjournals.onlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fj.2041-210X.2012.00224.x",[2962,2981],{"id":2963,"sortIndex":32,"researcher":28,"roles":2964,"affiliations":2965,"properties":2974,"displayName":2978,"givenName":28,"familyName":28},"546b79f7-b418-40a2-9f6e-305db9df2f32",[],[2966],{"id":2967,"sortIndex":32,"affiliation":2968,"properties":28},"3a53f126-4884-46e2-8485-ebeb7ee69389",{"id":2967,"createTime":28,"updateTime":28,"relativeEntities":2969,"slug":28,"properties":2970,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":2973,"statistic":28},[],{"title":2971},{"VI":2972},"Departamento de Zoología, Facultad de Biología, Universidad de Santiago de Compostela, c\u002FLope Gómez de Marzoa s\u002Fn, 15782, Santiago de Compostela, 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Phân tích hình học mô phỏng (geometric morphometrics) thường được sử dụng cho mục đích này, trong đó một tập hợp các biến hình dạng được thu thập từ tọa độ landmark theo một sự chồng chéo \u003Cjats:styled-content style=\"fixed-case\">P\u003C\u002Fjats:styled-content>rocrustes.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Chúng tôi giới thiệu geomorph: một gói phần mềm để thực hiện phân tích hình thái hình học morphometric trong môi trường tính toán thống kê \u003Cjats:sc>r\u003C\u002Fjats:sc>.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Geomorph cung cấp các quy trình cho tất cả các giai đoạn phân tích hình học morphometric dựa trên landmark ở hai và ba chiều. Đây là một gói mã nguồn mở để đọc, thao tác và số hóa dữ liệu landmark, tạo ra các biến hình dạng thông qua phân tích \u003Cjats:styled-content style=\"fixed-case\">P\u003C\u002Fjats:styled-content>rocrustes cho các điểm, đường cong và bề mặt, thực hiện phân tích thống kê về biến thể hình dạng và sự đồng biến, đồng thời cung cấp hình ảnh đồ họa về hình dạng và các mô hình biến thể hình dạng. Một đóng góp quan trọng của geomorph là khả năng thực hiện sự chồng chéo \u003Cjats:styled-content style=\"fixed-case\">P\u003C\u002Fjats:styled-content>rocrustes trên các điểm landmark, cũng như các semilandmarks từ đường cong và bề mặt.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Một loạt các phương pháp thống kê liên quan đến việc kiểm tra các giả thuyết sinh thái và tiến hóa về biến thể hình dạng được cung cấp. Những phương pháp này bao gồm các phương pháp đa biến tiêu chuẩn như phân tích thành phần chính, và các cách tiếp cận cho hồi quy đa biến và so sánh nhóm. Các phương pháp cho các phân tích chuyên biệt hơn, chẳng hạn như đánh giá hình dạng allometry, so sánh các quỹ đạo hình dạng, xem xét sự tích hợp hình thái, và đánh giá tín hiệu phylogenetic, cũng được bao gồm.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Nhiều chức năng được cung cấp để trực quan hóa các kết quả một cách đồ họa, bao gồm các quy trình để xem xét sự biến thiên trong không gian hình dạng, trực quan hóa các quỹ đạo allometric, so sánh các hình dạng cụ thể với nhau và cho việc vẽ các thay đổi phylogenetic trong morphospace.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Cuối cùng, geomorph tham gia vào việc cung cấp các phân tích hình thái hình học morphometric nâng cao thông qua nền tảng tính toán thống kê \u003Cjats:sc>r\u003C\u002Fjats:sc>.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003C\u002Fjats:list>\u003C\u002Fjats:p>","\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p>\u003Cjats:list>\u003Cjats:list-item>\u003Cjats:p>Many ecological and evolutionary studies seek to explain patterns of shape variation and its covariation with other variables. Geometric morphometrics is often used for this purpose, where a set of shape variables are obtained from landmark coordinates following a\u003Cjats:styled-content style=\"fixed-case\">P\u003C\u002Fjats:styled-content>rocrustes superimposition.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>We introduce geomorph: a software package for performing geometric morphometric shape analysis in the\u003Cjats:sc>r\u003C\u002Fjats:sc>statistical computing environment.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Geomorph provides routines for all stages of landmark‐based geometric morphometric analyses in two and three‐dimensions. It is an open source package to read, manipulate, and digitize landmark data, generate shape variables via\u003Cjats:styled-content style=\"fixed-case\">P\u003C\u002Fjats:styled-content>rocrustes analysis for points, curves and surfaces, perform statistical analyses of shape variation and covariation, and to provide graphical depictions of shapes and patterns of shape variation. An important contribution of geomorph is the ability to perform\u003Cjats:styled-content style=\"fixed-case\">P\u003C\u002Fjats:styled-content>rocrustes superimposition on landmark points, as well as semilandmarks from curves and surfaces.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>A wide range of statistical methods germane to testing ecological and evolutionary hypotheses of shape variation are provided. These include standard multivariate methods such as principal components analysis, and approaches for multivariate regression and group comparison. Methods for more specialized analyses, such as for assessing shape allometry, comparing shape trajectories, examining morphological integration, and for assessing phylogenetic signal, are also included.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Several functions are provided to graphically visualize results, including routines for examining variation in shape space, visualizing allometric trajectories, comparing specific shapes to one another and for plotting phylogenetic changes in morphospace.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003Cjats:list-item>\u003Cjats:p>Finally, geomorph participates to make available advanced geometric morphometric analyses through the\u003Cjats:sc>r\u003C\u002Fjats:sc>statistical computing platform.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\u003C\u002Fjats:list>\u003C\u002Fjats:p>",{"EN":3137,"VI":3138},"geomorph: an\u003Cscp>r\u003C\u002Fscp>package for the collection and analysis of geometric morphometric shape data","geomorph: một gói \u003Cscp>r\u003C\u002Fscp> cho việc thu thập và phân tích dữ liệu hình dạng hình học morfometric",{"VI":1284},{"VOID":3141},"10.1111\u002F2041-210x.12035",[31],[30],"https:\u002F\u002Fbesjournals.onlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002F2041-210X.12035",[3146,3173],{"id":3147,"sortIndex":32,"researcher":28,"roles":3148,"affiliations":3149,"properties":3166,"displayName":3170,"givenName":28,"familyName":28},"4340a4bd-72a5-475c-a3a9-d40707657389",[],[3150,3158],{"id":3151,"sortIndex":32,"affiliation":3152,"properties":28},"17900ef3-efa7-4f10-8741-b4b49f612ee9",{"id":3151,"createTime":28,"updateTime":28,"relativeEntities":3153,"slug":28,"properties":3154,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":3157,"statistic":28},[],{"title":3155},{"VI":3156},"Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA",[],{"id":3159,"sortIndex":40,"affiliation":3160,"properties":28},"345f4b0a-5370-4a4a-a7a4-ae717aec3c16",{"id":3159,"createTime":28,"updateTime":28,"relativeEntities":3161,"slug":28,"properties":3162,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":3165,"statistic":28},[],{"title":3163},{"VI":3164},"Department of Statistics Iowa State University Ames, IA 50011 USA",[],{"orcid":3167,"title":3169,"openalex":3171},{"VOID":3168},"https:\u002F\u002Forcid.org\u002F0000-0001-9172-7894",{"EN":3170},"Dean C. 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Hai mục tiêu chính là cân bằng tính phù hợp của mô hình với độ phức tạp của mô hình (ví dụ: bằng cách ‘điều chỉnh’ các cài đặt mô hình) và đánh giá các mô hình với dữ liệu độc lập theo không gian. Những vấn đề này đặc biệt quan trọng đối với các tập dữ liệu bị ảnh hưởng bởi thiên lệch trong việc lấy mẫu, và cho các nghiên cứu yêu cầu chuyển giao các mô hình qua không gian hoặc thời gian (ví dụ: phản ứng với biến đổi khí hậu hoặc sự lan truyền của các loài xâm hại). Việc thực hiện hiệu quả các quy trình để đạt được những mục tiêu này, tuy nhiên, yêu cầu phải tự động hóa.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Chúng tôi đã phát triển gói ENMeval, một gói R mà: (i) tạo ra các tập dữ liệu cho phép kiểm tra chéo k‐fold bằng một trong nhiều phương pháp phân chia dữ liệu có mặt (bao gồm các tùy chọn cho các phân chia độc lập theo không gian), (ii) xây dựng một loạt các mô hình ứng cử viên sử dụng Maxent với nhiều cài đặt do người dùng định nghĩa và (iii) cung cấp nhiều chỉ số đánh giá để hỗ trợ trong việc chọn cài đặt mô hình tối ưu. Sáu phương pháp để phân chia dữ liệu bao gồm jackknife n−1, k‐fold ngẫu nhiên (=bins), các fold do người dùng chỉ định và ba phương pháp phân chia theo cấu trúc địa lý có mặt. ENMeval định lượng sáu chỉ số đánh giá: diện tích dưới đường cong của đồ thị đặc điểm hoạt động của bộ thu cho các địa điểm thử nghiệm (AUC\u003Csub>TEST\u003C\u002Fsub>), sự khác biệt giữa AUC huấn luyện và AUC kiểm tra (AUC\u003Csub>DIFF\u003C\u002Fsub>), hai tỷ lệ thiếu sót cơ sở ngưỡng khác nhau cho các địa điểm thử nghiệm và tiêu chí thông tin Akaike điều chỉnh cho kích thước mẫu nhỏ (AIC\u003Csub>c\u003C\u002Fsub>).\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Chúng tôi đã chứng minh ENMeval bằng cách điều chỉnh các cài đặt mô hình cho tám loài cây thuộc chi Coccoloba ở Puerto Rico dựa trên AIC\u003Csub>c\u003C\u002Fsub>. Các chỉ số đánh giá đã thay đổi đáng kể giữa các cài đặt mô hình, và các mô hình được chọn với AIC\u003Csub>c\u003C\u002Fsub> khác với các mô hình mặc định.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>Tóm lại, ENMeval tạo điều kiện thuận lợi cho việc sản xuất các ENM tốt hơn và nên thúc đẩy nghiên cứu phương pháp trong tương lai về nhiều vấn đề nổi bật hiện có.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\u003C\u002Fjats:list>\n\u003C\u002Fjats:p>","\u003Cjats:title>Summary\u003C\u002Fjats:title>\u003Cjats:p>\n\u003Cjats:list>\n\n\u003Cjats:list-item>\u003Cjats:p>Recent studies have demonstrated a need for increased rigour in building and evaluating ecological niche models (\u003Cjats:styled-content style=\"fixed-case\">ENM\u003C\u002Fjats:styled-content>s) based on presence‐only occurrence data. Two major goals are to balance goodness‐of‐fit with model complexity (e.g. by ‘tuning’ model settings) and to evaluate models with spatially independent data. These issues are especially critical for data sets suffering from sampling bias, and for studies that require transferring models across space or time (e.g. responses to climate change or spread of invasive species). Efficient implementation of procedures to accomplish these goals, however, requires automation.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>We developed \u003Cjats:styled-content style=\"fixed-case\">\u003Cjats:styled-content>ENM\u003C\u002Fjats:styled-content>\u003C\u002Fjats:styled-content>\u003Cjats:styled-content>eval\u003C\u002Fjats:styled-content>, an R package that: (i) creates data sets for \u003Cjats:italic>k\u003C\u002Fjats:italic>‐fold cross‐validation using one of several methods for partitioning occurrence data (including options for spatially independent partitions), (ii) builds a series of candidate models using \u003Cjats:sc>Maxent\u003C\u002Fjats:sc> with a variety of user‐defined settings and (iii) provides multiple evaluation metrics to aid in selecting optimal model settings. The six methods for partitioning data are \u003Cjats:italic>n\u003C\u002Fjats:italic>−1 jackknife, random \u003Cjats:italic>k\u003C\u002Fjats:italic>‐folds ( = bins), user‐specified folds and three methods of masked geographically structured folds. \u003Cjats:styled-content>ENM\u003C\u002Fjats:styled-content>\u003Cjats:styled-content>eval\u003C\u002Fjats:styled-content> quantifies six evaluation metrics: the area under the curve of the receiver‐operating characteristic plot for test localities (\u003Cjats:styled-content style=\"fixed-case\">AUC\u003Cjats:sub>TEST\u003C\u002Fjats:sub>\u003C\u002Fjats:styled-content>), the difference between training and testing \u003Cjats:styled-content style=\"fixed-case\">AUC\u003C\u002Fjats:styled-content> (\u003Cjats:styled-content style=\"fixed-case\">AUC\u003Cjats:sub>DIFF\u003C\u002Fjats:sub>\u003C\u002Fjats:styled-content>), two different threshold‐based omission rates for test localities and the Akaike information criterion corrected for small sample sizes (\u003Cjats:styled-content style=\"fixed-case\">AIC\u003C\u002Fjats:styled-content>c).\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>We demonstrate \u003Cjats:styled-content>ENM\u003C\u002Fjats:styled-content>\u003Cjats:styled-content>eval\u003C\u002Fjats:styled-content> by tuning model settings for eight tree species of the genus \u003Cjats:italic>Coccoloba\u003C\u002Fjats:italic> in Puerto Rico based on \u003Cjats:styled-content style=\"fixed-case\">AIC\u003C\u002Fjats:styled-content>c. Evaluation metrics varied substantially across model settings, and models selected with \u003Cjats:styled-content style=\"fixed-case\">AIC\u003C\u002Fjats:styled-content>c differed from default ones.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\n\u003Cjats:list-item>\u003Cjats:p>In summary, \u003Cjats:styled-content>ENMeval\u003C\u002Fjats:styled-content> facilitates the production of better \u003Cjats:styled-content style=\"fixed-case\">ENM\u003C\u002Fjats:styled-content>s and should promote future methodological research on many outstanding issues.\u003C\u002Fjats:p>\u003C\u002Fjats:list-item>\n\u003C\u002Fjats:list>\n\u003C\u002Fjats:p>",{"EN":3404,"VI":3405},"\u003Cscp>ENM\u003C\u002Fscp>eval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for \u003Cscp>Maxent\u003C\u002Fscp> ecological niche models","ENMeval: Một gói R để thực hiện các đánh giá độc lập theo không gian và ước lượng độ phức tạp mô hình tối ưu cho các mô hình sinh cảnh sinh thái Maxent",{"VI":1284},{"VOID":3408},"10.1111\u002F2041-210x.12261",[31],[30],"https:\u002F\u002Fbesjournals.onlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002F2041-210X.12261",[3413,3432,3451,3476,3493,3516,3533],{"id":3414,"sortIndex":32,"researcher":28,"roles":3415,"affiliations":3416,"properties":3425,"displayName":3429,"givenName":28,"familyName":28},"0f2a06b6-10c9-4af9-87b2-9873dfec2da2",[],[3417],{"id":3418,"sortIndex":32,"affiliation":3419,"properties":28},"0dddda9f-a7e1-4d91-9fe6-85683395e7da",{"id":3418,"createTime":28,"updateTime":28,"relativeEntities":3420,"slug":28,"properties":3421,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":3424,"statistic":28},[],{"title":3422},{"EN":3423},"Department of Ecology, Evolution and Environmental Biology, Columbia University, 1200 Amsterdam Ave., New York, NY, 10027, USA",[],{"orcid":3426,"title":3428,"openalex":3430},{"VOID":3427},"https:\u002F\u002Forcid.org\u002F0000-0003-3039-1076",{"EN":3429},"Robert Muscarella",{"VOID":3431},"A5079291685",{"id":3433,"sortIndex":40,"researcher":28,"roles":3434,"affiliations":3435,"properties":3444,"displayName":3448,"givenName":28,"familyName":28},"6214a2d6-878b-496e-8a1b-160fde832dd1",[],[3436],{"id":3437,"sortIndex":32,"affiliation":3438,"properties":28},"bc6129d7-51e1-485f-a56e-b379d516243c",{"id":3437,"createTime":28,"updateTime":28,"relativeEntities":3439,"slug":28,"properties":3440,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":3443,"statistic":28},[],{"title":3441},{"EN":3442},"Department of Biology, City College of the City University of New York, 160 Convent Ave., New York, NY 10031, USA",[],{"orcid":3445,"title":3447,"openalex":3449},{"VOID":3446},"https:\u002F\u002Forcid.org\u002F0000-0002-7025-3551",{"EN":3448},"Peter J. 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