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Springer Science and Business Media LLC

ESCI-ISI SCOPUS (2024-2025)

 

  3004-9261

 

 

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Các bài báo tiêu biểu

Theoretical study on demand-side management to reduce imbalance between electricity supply and demand
Tập 6 Số 10
Tamaki Yamazaki, Hirotaka Takano, Hiroshi Asano, Tuyen Nguyen‐Duc
Cellulose based adsorbent for cationic methylene blue dye removal
Tập 6 Số 2
Hana Melese, Hizkeal Tsade
AbstractNew chemically amended (sodium periodate cellulose nanoparticle (NaIO4-CNP) adsorbent material was synthesized from dried fibers of cotton. The synthesized NaIO4-CNP adsorbent material was characterized for functional groups, crystallite size, surface morphology, morphological structure, and particle size) by using Fourier transform infrared (FT-IR), X-ray diffraction (XRD), Scanning elect... hiện toàn bộ
Nutritional composition of wild sour plum (Ximenia caffra subs caffra) fruit harvested in varying geographical regions and its potential role in human nutrition
Tập 6 Số 5
Boitumelo Lekoba, Mdungazi Knox Maluleke, Rebogile R. Mphahlele
AbstractBy 2030, the United Nations, through their Sustainable Development Goals (SDGs), hope to have eradicated hunger and malnutrition, ensuring that everyone has access to enough nutritious food throughout the year. This is especially aimed at developing countries. There is untapped potential for food and nutrition security in Africa's wide variety of native fruit trees. One example of a wild f... hiện toàn bộ
Incorporating sea sand into self-compacting concrete: a systematic review
B. M. Sindhurashmi, Gopinatha Nayak, N. D. Adesh, Vidya Rao, Sandhya Parasnath Dubey
AbstractThe increasing demand for river sand, driven by infrastructure development, poses environmental challenges. The study aims to address the depletion of river sand by integrating sea sand as a fine aggregate in the production of Self-Compacting Concrete (SCC) through a Systematic Literature Review. Furthermore, it includes an in-depth bibliographic analysis of relevant literature using VOSvi... hiện toàn bộ
Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
Haewon Byeon, Ruchi Patel, Deepak A. Vidhate, Sherzod Kiyosov, Saima Ahmed Rahin, Ismail Keshta, T. R. Vijaya Lakshmi
AbstractThe use of a light-weight deep learning Convolutional Neural Network (CNN) augmented with the power of Fuzzy Non-Sample Shearlet Transformation (FNSST) has successfully solved the problem of reducing noise and artifacts in Low-Dose Computed Tomography (LDCT) pictures. Both the Normal-Dose Computed Tomography (NDCT) and the Low-Dose Computed Tomography (LDCT) images from the dataset are sub... hiện toàn bộ
A model based material removal simulation for vacuum suction blasting of composites
Tập 6 Số 1
Leander Brieskorn, Wolfgang Hintze, S Rajanna
AbstractAutomated scarfing of carbon reinforced plastic (CFRP) layers is on its way to support commercial aircraft repair. In the industry, still, the manual scarfing operation is the qualified method. However, automated techniques as milling, laser removal and water jet cutting are in development and showed already good results. Another promising method is vacuum suction blasting (VSB) that was u... hiện toàn bộ
Assembly and characterization of the complete mitochondrial genome of Descurainia sophia: a medical plant producing glucosinolate
Tập 6 Số 3
Ling Zhao, Yan H, Yuyan Zhu, Haoyu Jia, Yan-Feng Han, Xiaoke Zheng, Min Wang, Weisheng Feng
AbstractAs a commonly used traditional Chinese medicine, Descurainia sophia has various reported pharmacological activities such as prevention of chronic diseases, cardiovascular protection, neuroprotection, anticancer, antioxidant, and has high nutritional values, but its mitochondrial genome (mitogenome) has not been reported. In this study, the D. sophia mitogenome was sequenced, assembled and ... hiện toàn bộ
Dynamic Neural Assimilation: a deep learning and data assimilation model for air quality predictions
Nikodemas Tučkus, Ilaria D’Elia, Marta Chinnici, Rossella Arcucci
AbstractAmbient air pollution is known to be a serious issue that has an impact on human health and the environment. Assessing air quality is of the utmost importance to protect human health and the environment. Different tools are available, from monitoring stations to complex models. These systems are capable of accurately predicting air quality levels, but they are often computationally very ex... hiện toàn bộ
Heterogeneous catalytic conversion of lignocellulose: towards green and renewable chemicals
Addisu Tamir Wasie, Mesfin Getachew Tadesse, Asselefech Sorsa Wotango, Rakesh Kumar Bachheti, Ibrahim Nasser Ahmed
AbstractThe world's nations are searching for renewable and sustainable energy and fuels due to restrictions on carbon discharges and fossil feedstock shortage.. Biomass is a renewable and sustainable resource; and its conversion is one of the research hotspot areas. This review aims to summarize the evidence gained from different methods of converting lignocellulose materials using heterogeneous ... hiện toàn bộ
Assessing the influence of seasonal precipitation patterns on groundwater quality in the coal rich environment of Enugu, Nigeria
Rosemary C. Nnaemeka-Okeke, Francis O. Okeke
AbstractAs the impacts of climate change continue to be felt around the world, understanding the effects on groundwater quality and quantity has become an important area of investigation. As a global source of water that contributes to preserving the environment, a better understanding of the effect of precipitation seasonal pattern on these systems is crucial; though studies connected to groundwa... hiện toàn bộ