Performance Analysis of Energy Efficient Cooperative SWIPT NOMA-Assisted Cognitive Satellite-Terrestrial Networks by Swathi Priya Indraganti, Suseela Vappangi

“…The network comprises a primary satellite source, its destination, and a secondary terrestrial source-destination pair. …”
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Review on the Pre-treatment Advancements of Biogas Production Barriers by Amoo, A.O., Ijanu, E.M., Haruna, A., Adeleye, A.O, Sabo, A.

“…Future research can focus on developing more efficient and targeted pre-treatment methods using nanotechnology and genetic engineering, optimizing existing methods, and combining multiple pre-treatment methods to enhance efficiency. …”
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Cross-Domain Facial Expression Recognition Based on Transductive Deep Transfer Learning by Keyu Yan, Wenming Zheng, Tong Zhang, Yuan Zong, Chuangao Tang, Cheng Lu, Zhen Cui

“…As part of the network parameters, the labels of the target samples are also optimized when optimizing the parameters of TDTLN, such that the cross-entropy loss of source domain data and the regression loss of target domain data can be simultaneously calculated. …”
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Operational Modes and Technical Points for Empowering Urban Park Green Spaces by Digital Technology by Yang ZHANG, Changlin LI, Ninglu ZHANG, Fei WU

“…Based on the above, four specific technical points for implementing the operational mode in reality are proposed as follows. 1) Multi-source data as an auxiliary tool for constructing accurate tourist portraits and optimizing space. …”
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Cassava in focus: A comprehensive literature review, its production, processing landscape, and multi-dimensional benefits to society by Abraham Woru Borku, Thomas Toma Tora, Mamush Masha

“…A comprehensive evaluation of cassava's production, processing, and utilization is essential to optimize its role as a sustainable food source in Ethiopia.…”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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AMR Surveillance in Africa: Are We There Yet? by Prof Sabiha Essack, Sabiha Y. Essack

“…Data reliability and validity, fidelity of laboratory methods and quality assurance are frequently cited limitations raising concerns on the utility of phenotypic AMR surveillance data for policy and practice action.Genomic AMR surveillance in Africa is limited to discrete research projects at Universities and research institutions that describe the resistome, mobilome, virulome and phylogeny using whole genomic sequencing and open-source bioinformatics tools in the main and genomic surveillance capacity is steadily increasing on the content. …”
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Smooth Guided Adversarial Fully Test-Time Adaptation by Dong Li, Panfei Yang

“…Fully test-time adaptation (FTTA) refers to a specific type of domain adaptation that involves adjusting a pre-trained machine learning model to work with a new target domain, without accessing any data from the source domain. The lack of access to source data makes it more difficult to adjust to the target domain. …”
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Emulsion-Based Encapsulation of Fibrinogen with Calcium Carbonate for Hemorrhage Control by Henry T. Peng, Tristan Bonnici, Yanyu Chen, Christian Kastrup, Andrew Beckett

“…This study advances current hemostatic particle technology by demonstrating enhanced self-propulsion and fibrinogen incorporation via the W/O/W emulsion method. Further optimization of the encapsulation method could enhance the effectiveness of fibrinogen-CaCO₃ particles for hemorrhage control.…”
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Extraction of Carotenoids from Pumpkin (<i>Cucurbita moschata</i>) and Spinach (<i>Spinacia oleracea</i>) Using Environmentally Friendly Deep Eutectic Solvents (DESs) by Koray Tanrıver, Mehmet Bilgin, Selin Şahin Sevgili, İrem Toprakçı Yüksel, Ebru Kurtulbaş Şahin

“…Food waste is considered as an important source for the recovery of bioactive compounds, such as carotenoids. …”
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Topology-Aware Multi-View Street Scene Image Matching for Cross-Daylight Conditions Integrating Geometric Constraints and Semantic Consistency by Haiqing He, Wenbo Xiong, Fuyang Zhou, Zile He, Tao Zhang, Zhiyuan Sheng

“…While deep learning-based image matching methods excel at extracting high-level semantic features from remote sensing data, their performance degrades significantly under cross-daylight conditions and wide-baseline geometric distortions, particularly in multi-source street-view scenarios. …”
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Advances in Coking Wastewater Treatment and Zero Discharge Technology by Huaqiang CHU, GLADYS Chimfwembe, Pengyuan WEI, Jie XU, Guihong SHUI, Jiaying MA, Xuefei ZHOU, Yalei ZHANG

“…In recent years, considerable attention has been directed towards developing more efficient methods for treating coking wastewater. This review provides a comprehensive overview of current advancements in coking wastewater treatment technologies, focusing on their sources, characteristics, pretreatment technologies, biochemical treatments, and advanced treatment technologies. …”
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EGFR and K-ras Mutation Analysis in Non-Small Cell Lung Cancer: Comparison of Paraffin Embedded versus Frozen Specimens by Mariëlle I. Gallegos Ruiz, Karijn Floor, Frank Rijmen, Katrien Grünberg, José A Rodriguez, Giuseppe Giaccone

“…Although frozen tumor tissue would probably be the optimal source for analysis, the most common source of tumor material is fixed and paraffin embedded (FPE) archival specimens. …”
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Intelligent agent orchestration for climate-resilient energy systems: Autonomous management of renewable integration and distributed resources by Kravari Kalliopi, Roussi Maria, Ladomenou Kalliopil, Thysiadou Anna, Chalaris Michail

“…The proposed MAS is expected to aid in developing more sustainable, resilient, and climate-resilient energy systems by virtue of support from distributed intelligence and adaptive control methods. A simulation case study, focusing on the Greek energy sector and its susceptibility to climate effects, will show the effectiveness of the suggested MAS in enhancing energy system resilience as well as renewable energy optimization.…”
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Ukrainian startup ecosystems: regional development and European integration by D. A. Donets

“…Data sources include international reports (StartupBlink, Dealroom, Civitta), investment analytics, statistics covering 2020-2024. …”
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Creating custom 3D printing material colors using optical modeling of waste plastic by Kimia Aghamohammadesmaeilketabforoosh, Joshua Givans, Morgan Woods, Joshua Pearce

“…To determine the optimal method, assessment criteria include the application of root mean square (RMS) and the color difference (ΔE CIE-2000). …”
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Improvement of point cloud feature extraction and alignment algorithms and lidar slam in coal mine underground by Guanghui XUE, Zhenghao ZHANG, Guiyi ZHANG, Ruixue LI

“…Initially, the method constructs kd-tree structures for the source and target point clouds, reduces point cloud numbers through statistical and voxel filtering, extracts point cloud surface normal, and computes fast point feature histogram descriptors for key points. …”
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Wafer-scale uniformity improvement of Dolan-bridge Josephson junction by shadow evaporation bias correction by Daria A. Moskaleva, Nikita D. Korshakov, Dmitry O. Moskalev, Anastasiya A. Soloveva, Alexey R. Matanin, Elizaveta I. Malevannaya, Nikita S. Smirnov, Maksim I. Teleganov, Yuri V. Panfilov, Ilya A. Rodionov

“…Here, we report on a robust wafer-scale Al/AlOx/Al Dolan-bridge Josephson junction (JJ) process using preliminary shadow evaporation bias resist mask correction and comprehensive oxidation optimization. We introduce a topology correction model for two-layer resist mask biasing at a wafer-scale, which takes into account an evaporation source geometry. …”
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The Value of Using Green Extraction Techniques to Enhance Polyphenol Content and Antioxidant Activity in <i>Nasturtium officinale</i> Leaves by Eva Naoum, Aikaterini Xynopoulou, Konstantina Kotsou, Theodoros Chatzimitakos, Vassilis Athanasiadis, Eleni Bozinou, Stavros I. Lalas

“…The FRAP method measured 57.15 μmol ascorbic acid equivalents (AAE)/g dw, while the DPPH radical scavenging activity method measured 47.55 μmol AAE/g dw. …”
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A Survey of Localization in Wireless Sensor Network by Long Cheng, Chengdong Wu, Yunzhou Zhang, Hao Wu, Mengxin Li, Carsten Maple

“…The location estimation methods can be classified into target/source localization and node self-localization. …”
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