A progressive knowledge strategy for monitoring soil microbiological activity by microscale spectroscopic detection by Heidy Soledad Rodríguez-Albarracín, José A.M. Demattê, Nícolas Augusto Rosin, Jorge Tadeu Fim Rosas, Aquiles Enrique Darghan, Hudson Wallace Pereira de Carvalho

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DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models by Muhammad Nabeel Asim, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Ali Ibrahim, Arooj Zaib, Andreas Dengel, Andreas Dengel, Andreas Dengel

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Comprehensive analysis of cholesterol metabolism-related genes in prostate cancer: integrated analysis of single-cell and bulk RNA sequencing by Zixiong Jiang, Yu Luo, Liangdong Song, Jindong Zhang, Chengcheng Wei, Shuai Su, Delin Wang

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Neurophysiological evidence of single-shot semantic mapping in the developing brain by Marina J. Vasilyeva, Veronika M. Knyazeva, Elena D. Artemenko, Elena A. Vershinina, Ekaterina S. Garbaruk, Ekaterina S. Garbaruk, Maria Yu Boboshko, Maria Yu Boboshko, Aleksander A. Aleksandrov, Yury Shtyrov, Yury Shtyrov

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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…By integrating multiple deep learning networks, the objective is to create a robust tool for forecasting transposon-derived piRNAs, thereby contributing to a deeper understanding of their biological functions and regulatory mechanisms. …”
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Decision-making behavior in patients with depressive disorder and its relationship with depressive and anxiety symptoms by Wang Yuxiang, Zhang Luoya, Zhang Maomao, Deng Juan, Peng Yanjie, Cheng Xiaotong, Liu Kezhi, Lei Wei, Chen Jing

“…Beck Depression Inventory （BDI） and Beck Anxiety Inventory （BAI） were used for assessment， and decision-making behavior was evaluated using Probabilistic Reversal Learning （PRL） task. Indicators assessed included the number of trials to criterion， perseverative errors， win-stay rate and lose-shift rate. …”
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Predicting higher risk factors for COVID-19 short-term reinfection in patients with rheumatic diseases: a modeling study based on XGBoost algorithm by Yao Liang, Siwei Xie, Xuqi Zheng, Xinyu Wu, Sijin Du, Yutong Jiang

“…This study aims to develop machine learning models to predict and identify the risk of short-term COVID-19 reinfection in patients with rheumatic diseases. …”
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Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population by Xianli Qiu, Yong Han, Changchun Cao, Yuheng Liao, Haofei Hu

“…To address the natural relationships between the atherogenicity indices and risk of prediabetes, we applied Cox proportional hazards regression with cubic spline functions and smooth curve fitting, using a recursive algorithm to calculate inflection points. …”
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Bioinformatic analysis, clinical implications and experimental validation of ferroptosis-related feature gene in IgA nephropathy: focus on DUSP1 by Tingting Liu, Tingting Pan, Mingxin Chang, Shaojie Fu, Hongzhao Xu, Hao Wu, Zhonggao Xu, Yanli Cheng

“…The ferroptosis-related genes were obtained from the Ferrb database. Machine learning algorithms (LASSO, SVM-RFE, random forest) were employed to screen FFGs. …”
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Unveiling PANoptosis in Acute Kidney Injury: An Integrative Multi-Dimensional Approach to Identify Key Biomarkers by Wang N, Zhang L, Xu Z, Xu Q, Lu Y, Niu P, Yan L, Wang L, Cao H, Shao F

“…Integration of transcriptomic data with machine learning algorithms led to the identification of five key upregulated genes: EGR1, CEBPD, HSPA1A, HSPA1B, and RHOB. …”
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Citizen Science to Raise Antimicrobial Resistance Awareness in the Community: The MicroMundo Project in Spain and Portugal by Jessica Gil‐Serna, Patricia Antunes, Susana Campoy, Ángeles Cid, Antonio Cobo‐Molinos, Paulo Durão, Carmen Fajardo, Belén Fouz, Ana R. Freitas, Filipa Grosso, Piet W. J. deGroot, Trinidad deMiguel, Bruno González Zorn, Belén Hinojosa, Maria João Leão, Montserrat Llagostera, Rosa deLlanos, Ainhoa Lucía, Sergi Maicas, Irma Marín, Magdalena Martínez‐Cañamero, Carla Miranda, José Manuel Molina‐Guijarro, Diego A. Moreno, María de losLlanos Palop, María José Pérez‐Álvarez, Pedro M. Pereira, María Teresa Pérez‐Gracia, Sandra Quinteira, Carmen Rioboo, Beatriz Robredo, José María Rodríguez‐Calleja, Rafael R. de laHaba, Sandra Sánchez, Manuel Sánchez Angulo, Cristina Sánchez‐Porro, Félix J. Sangari, Beatriz Santos, Eduarda Silveira, Begonya Vicedo, Víctor J. Cid, all members of MicroMundo Teams in Spain and Portugal

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The Effectiveness of Using the Reggio Emilia Approach on the Experimental Science Lesson for Third-Grade Elementary Students by Batool Sabzeh, Farangis Ghalavand, Seyedamir Ghasemtabar

“…The current research aims to survey the effect of applying the Reggio Emilia approach on the learning of experimental sciences in the third grade of elementary school. …”
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Identifying the Dimensions and Components of Virtual Arabic Language Education in Iraq by Abbas Taher Allavi Gharabat, Nasrolah Ghashghaeizadeh, Jalal Shanta Jabir, Faranak mosavi

“…E-learning gives people the power to learn outside the physical classroom environment. …”
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Dynamic grouping of ongoing activity in V1 hypercolumnsAn example dataset is available at Mendeley dataset. by Rui Zhang, Jiayu Wang, Xingya Cai, Rendong Tang, Haidong D. Lu

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Forgetting is comparable between healthy young and old people by Martina Studer, Dörthe Heinemann, Klemens Gutbrod, Katharina Henke

“…We related their forgetting rates over one week following learning to their subjective sleep quality and executive functions. …”
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Formation of the university electronic information-educational environment: interaction, development of professional thinking, management by I. V. Serafmovich, O. M. Кonkova, A. V. Raykhlina

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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

“…Subsequently, this work designs a hierarchical graph neural network that integrates attention mechanisms and pooling operations, complemented by function node sampling and structural learning strategies. …”
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TD algorithm based on double-layer fuzzy partitioning by Xiang MU, Quan LIU, Qi-ming FU, Hong-kun SUN, Xin ZHOU

“…When dealing with the continuous space problems,the traditional Q-iteration algorithms based on lookup-table or function approximation converge slowly and are diff lt to get a continuous policy.To overcome the above weak-nesses,an on-policy TD algorithm named DFP-OPTD was proposed based on double-layer fuzzy partitioning and its convergence was proved.The first layer of fuzzy partitioning was applied for state space,the second layer of fuzzy parti-tioning was applied for action space,and Q-value functions were computed by the combination of the two layer fuzzy partitioning.Based on the Q-value function,the consequent parameters of fuzzy rules were updated by gradient descent method.Applying DFP-OPTD on two classical reinforcement learning problems,experimental results show that the algo-rithm not only can be used to get a continuous action policy,but also has a better convergence performance.…”
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Facial Expression Recognition Algorithm Combining Parallel Network Features by MIAO Zhuang, CHENG Wei-yue, LIN Ke-zheng, LI Ao

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Theoretical Considerations on the Literacy-Metacognition Nexus: Exploring the Linguistic-Cognitive Landscape of Young Multilingual Minds by Barbara Hofer, Birgit Spechtenhauser

“…This article sets out to shine some light on the interconnectedness and interactions between metalinguistic awareness, cognitive/executive functions, and (multilingual) literacy. Conclusions: We argue that the three dimensions are strongly correlated and that this correlation comes with important implications for language learning, language processing, and language development. …”
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