Uncovering latent biological function associations through gene set embeddings by Yuhang Huang, Fan Zhong, Lei Liu

“…Traditional graph-theoretical approaches have been instrumental in mapping key biological processes using high-confidence interaction data. However, these methods often struggle with incomplete or/and heterogeneous datasets. …”
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Multimodal Visualization and Explainable Machine Learning–Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With... by Jun Wang, Jiajun Zhu, Hui Li, Shili Wu, Siyang Li, Zhuoya Yao, Tongjian Zhu, Bi Tang, Shengxing Tang, Jinjun Liu

“…A total of 5 ML model-decision trees, K-nearest neighbors, random forest, support vector machine, and extreme gradient boosting were used to construct a visualization and explainable predictive framework to elucidate model decision-making processes. …”
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Adaptive compressed spectrum sensing based on optimized measurement matrix by Wei-gang WANG, Zhen YANG, Bin GU, Hai-feng HU

“…The estimation error of reconstruction by adaptive compressed sensing was derived, and the column vector autocorrelation of the observation matrix was reduced, and the impact of optimization process on compressed sensing re-construction algorithm was analyzed. …”
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Fast access authentication scheme for mobile IPv6 hierarchical network by Shan-shan SONG, Tao SHANG, Jian-wei LIU

“…Sec-ondly, a hierarchical lattice-based signature scheme was designed to implement the two-way authentication and improve the security of the authentication process. The analysis of the scheme shows that it is strongly unforgeable, and mean-while it can defend replay attacks and reduce the delay time of the entire authentication process.…”
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Fast access authentication scheme for mobile IPv6 hierarchical network by Shan-shan SONG, Tao SHANG, Jian-wei LIU

“…Sec-ondly, a hierarchical lattice-based signature scheme was designed to implement the two-way authentication and improve the security of the authentication process. The analysis of the scheme shows that it is strongly unforgeable, and mean-while it can defend replay attacks and reduce the delay time of the entire authentication process.…”
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Prediction of Selenium-Enriched Crop Zones in Xiaoyan Town Using Fuzzy Logic and Machine Learning Approaches by Jiacheng Li, Shuyun Xie, Wenbing Yang, Weihang Zhou, Emmanuel John M. Carranza, Weiji Wen, Hongtao Shi

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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

“…First, GAKR uses a Multilayer Perceptron (MLP) in the recommendation module to process the user’s initial feature vector and extract potentially compressible features. …”
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ANALYTICAL PLATFORM FINANCIAL AND ECONOMIC TRENDS IN CONTEMPORARY GEOPOLITICAL AND SCIENTIFIC AND TECHNOLOGICAL TRANSFORMATION: THE WORLD AND RUSSIA by Petr Akinin, Sabiyat Magomedsaidova, Valentina Akinina

“…We consider global trends and domestic financial - economic development under the influence of revolutionary processes in geopolitics, science and technology. Central to the ongoing transformations are highlighted: the crisis of the liberal model and the development of alternative approaches; the formation of the digital economy and the emergence cryptocurrency; development of new industrialization, based on the formation of the sixth technological order; changes in production and energy consumption. …”
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Analysis of a conditional gene trap reveals that tbx5a is required for heart regeneration in zebrafish. by Viktorija Grajevskaja, Diana Camerota, Gianfranco Bellipanni, Jorune Balciuniene, Darius Balciunas

“…The ability to conditionally inactivate genes is instrumental for fine genetic analysis of all biological processes, but is especially important for studies of biological events, such as regeneration, which occur late in ontogenesis or in adult life. …”
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Reviewing the ecological evidence base for management of emerging tropical zoonoses: Kyasanur Forest Disease in India as a case study. by Sarah J Burthe, Stefanie M Schäfer, Festus A Asaaga, Natrajan Balakrishnan, Mohammed Mudasssar Chanda, Narayanaswamy Darshan, Subhash L Hoti, Shivani K Kiran, Tanya Seshadri, Prashanth N Srinivas, Abi T Vanak, Bethan V Purse

“…Options may include "ecological interventions" that target vectors or hosts and require good knowledge of underlying transmission processes, which may be more effective, economical, and long lasting than conventional approaches. …”
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Circulating Current Suppression and Midpoint Potential Balance of Flexible DC T-Type Three-Level Bidirectional Converter for Urban Rail Transit by LIU Jianhua, LI Dongdong, LI Hao

“…The proposed midpoint potential control method does not require complex space vector modulation processes， has low computational complexity， is easy to implement， and can effectively control the midpoint potential.…”
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Leadership and Organizational Development by Vladimir-Codrin IONESCU, Cristina BOLCAŞ

“…The final section presents some approaches to organizational development, highlighting that leadership is a vector of change processes and, implicitly, an engine of organizational development. …”
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Spectral Feature Extraction Using Partial and General Method by Bin Jiang, Xi Fang, Yang Liu, Xingzhu Wang, Jie Liu

“…With the rapid growth in astronomical spectra produced by large sky survey telescopes, traditional manual classification processes can no longer fulfill the requirements of precision and efficiency of spectral classification. …”
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Automatic Extraction Method of Phenotypic Parameters for <i>Phoebe zhennan</i> Seedlings Based on 3D Point Cloud by Yang Zhou, Yikai Qi, Longbin Xiang

“…These corrective processes enhanced the accuracy of stem extraction. …”
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Virulent Properties of Russian Bovine Viral Diarrhea Virus Strains in Experimentally Infected Calves by Alexander G. Glotov, Tatyana I. Glotova, Svetlana V. Koteneva, Olga V. Semenova, Alexander A. Sergeev, Ksenya A. Titova, Anastasia A. Morozova, Artemiy A. Sergeev

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Antitumor proteinkinase inhibitor imatinib may be regarded as a potential correcting agent for COVID-19 associated pulmonary fibrosis by I. N. Mikhaylova, N. M. Treshalina, I. Zh. Shubina, I. V. Manina, M. V. Kiselevsky, A. N. Lukashev

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Defects in magnetic domain walls after single-shot all-optical switching by Daniel Metternich, Kai Litzius, Sebastian Wintz, Kathinka Gerlinger, Sascha Petz, Dieter Engel, Themistoklis Sidiropoulos, Riccardo Battistelli, Felix Steinbach, Markus Weigand, Steffen Wittrock, Clemens von Korff Schmising, Felix Büttner

“…Helicity-independent all-optical switching (HI-AOS) is the fastest known way to switch the magnetic order parameter. While the switching process of extended areas is well understood, the formation of domain walls enclosing switched areas remains less explored. …”
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The Smart Product Backlog: A Classification Model of User Stories by Mauricio Gaona-Cuevas, Victor Bucheli Guerrero, Fredy H. Vera-Rivera

“…In agile software development processes, user stories (US) had been used to specify application functionalities from the users&#x2019; perspective. …”
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REGISTRATION OF SURFACE ACOUSTIC WAVES in Z-SECTIONS of PIEZOELECTRIC SINGLE CRYSTALS ZnO and CdS by I. V. Linchevsky, M. V. Chursanova

“…The subjects of this research are the internal electric field and the electric polarization vector, both existing in the volume of a deformed piezoelectric crystal. …”
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Improving long‐tail classification via decoupling and regularisation by Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu

“…To tackle these challenges, the authors first thoroughly analyse the classifier and feature space by decoupling the classification logits into three key components: classifier norm (i.e. the magnitude of the classifier vector), feature norm (i.e. the magnitude of the feature vector), and cosine similarity between the classifier vector and feature vector. …”
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