Transcriptome analysis of liver and ileum reveals potential regulation of long non-coding RNA in pigs with divergent feed efficiency by Zhenjian Zhao, Shujie Wang, Kai Wang, Xiang Ji, Dong Chen, Qi Shen, Yang Yu, Shendi Cui, Junge Wang, Ziyang Chen, Guoqing Tang

“…We analyzed the differential expressed lncRNAs, microRNAs (miRNAs), and messenger RNAs through target gene prediction and functional analysis. And we identified key lncRNAs and their potential regulatory genes associated with feed efficiency through the construction of competitive endogenous RNA network. …”
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Process-based therapy vs. routine-CBT for difficult-to-treat mood and anxiety disorders: study protocol for a randomized controlled trial by Ulrich Stangier, Viktoria Kohl, Nora Görg, Lucie Sendig, Bettina Hufschmidt, Desiree Bonarius, Arwin Nemani, Mareike Ebert, Stefan G. Hofmann

“…Primary outcome is emotional distress; secondary outcomes include psychological well-being and quality of life, adaptive behavior, psychological flexibility, and reflective functioning. Assessments of outcome variables are conducted before and after therapy and at 6 months follow-up. …”
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GIF You’re Happy and You Know It: Reaction GIFs and Images in a Gay Male Twitter Community of Practice by Caolan O’Neill

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THE ETHNO-CULTURAL COMPONENT IN THE ADVERTISING TEXTS OF EDUCATIONAL ORGANISATIONS IN FOREIGN LANGUAGE EDUCATION by E.V. Biryukova, N.S. Parshkov

“…The advertising texts of the Moscow City University on the social network VKontakte are the subject of the study. The purpose of the study is to identify and clarify the functioning of the ethnocultural component in the advertising texts of educational organisations. …”
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Raman spectroscopy and bioinformatics-based identification of key genes and pathways capable of distinguishing between diffuse large B cell lymphoma and chronic lymphocytic leukemi... by Haoyue Liang, Haoyue Liang, Zhijie Cao, Zhijie Cao, Yansong Ren, Yansong Ren, Yihan Li, Yihan Li, Haoyu Wang, Haoyu Wang, Fanfan Sun, Fanfan Sun, Mei Xue, Guoqing Zhu, Guoqing Zhu, Yuan Zhou, Yuan Zhou

“…Disease-related gene expression datasets from the GEO database were used to identify differentially expressed genes (DEGs) and DEG functions were examined using GO analysis and protein-protein interaction network construction. …”
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The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study by Hamed Alimoradiyan, Ahmad Hajinezhad, Hossein Yousefi, Mario Giampietro

“…The theory of metabolic networks and the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) serve as the foundation for the developed framework. …”
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Enhancing Software Sustainability: Leveraging Large Language Models to Evaluate Security Requirements Fulfillment in Requirements Engineering by Ahmad F. Subahi

“…This research emphasizes the role of non-functional equirements (NFRs) in developing secure software systems that enhance societal wellbeing by ensuring data protection, user privacy, and system robustness. …”
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Scientometric analysis of computational calculations on hydrogen adsorption by D.A. Torres-Ceron, S. Amaya-Roncancio, F. Fuentes-Gandara, E. Restrepo-Parra, L. Bohorquez-Santiago, J.P. Velasquez-Tamayo

“…The present research was conducted in the databases Web of Science and Scopus from 2000 to 2022, using a pre-determined set of keywords related to hydrogen adsorption, storage, and density functional theory. …”
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An Energy Storage System for Regulating the Maximum Demand of Traction Substations by Fangyuan Zhou, Zhaohui Tang, Xiaolong Zhang, Lebin Chou, Da Tan

“…The short-term prediction of traction load adopts a time series short-term load prediction method based on BP neural network error correction. Then, based on the load prediction value of the traction substation and the state of charge of the ESS, a collaborative control strategy for ESS and RPC is formulated to enable RPC to achieve a negative sequence suppression function simultaneously. …”
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Optimization of Extraction of Luteolin from <i>Schisandra chinensis</i> by Ionic Liquid–Enzyme Complex System and Antioxidant Study Analysis by Jingwei Hao, Nan Dong, Yifan Sun, Xiaoxia Lu, Yingying Pei, Yi Zhou, Xiangkun Zhou, Heming Liu

“…Secondly, the antioxidant function of luteolins was studied based on network pharmacology. …”
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Anemarrhena asphodeloides Bunge-Fritillaria Cirrhosae Bulbus Herb Pair Alleviates Ovalbumin-Induced Asthma by Regulating Arachidonic Acid Pathway by Tian X, Cui Q, Wei J, Zhang Q, Zhang H, Yang M, Xing Y, Niu Y, Li W, Wang N, Jin Y, Du Y

“…Asthma targets and mechanism prediction were performed using network pharmacology. Then, the potential anti-asthma mechanism of ZC was explored using RT-qPCR.Results: According to the lung function test, Hematoxylin-Eosin Staining experiment, ZC herb pair had an obvious anti-asthma effect over either ZM or CBM alone. …”
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Meta-heuristic algorithm based optimization studies in cryogenic and conventional milling of magnesium alloy AZ91 by Vikas Marakini, Srinivasa Pai P, Grynal D’Mello, Udaya K Bhat, DineshSingh Thakur, Bhaskara P Achar

“…Modeling and prediction studies have been conducted using Multi Layered Perceptron (MLP) Neural Network, and the output of this model has been considered as the objective function for the optimization algorithms. …”
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Identification and characterization of signature genes related to fetoplacental vascular endothelial cell programming in gestational diabetes mellitus using bioinformatics analysis by Chunhong Liu, Chunhong Liu, Chunhong Liu, Caicheng Wei, Caicheng Wei, Caicheng Wei, Yulan Lu, Fu Chai, Fu Chai, Fu Chai, Chunfang Wang, Chunfang Wang, Chunfang Wang, Yonglong Zeng, Yonglong Zeng, Yonglong Zeng, Huatuo Huang, Huatuo Huang, Huatuo Huang

“…Weighted gene co-expression network analysis was then performed, clustering genes into 11 modules. …”
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Renal Biopsy Pathological Tissue Segmentation: A Comprehensive Review and Experimental Analysis by Yan Liu, Taiping Wang, Xinxin He, Wei Wang, Qiang He, Juan Jin

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Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity by Shailendra Bhandari, Pedro Lencastre, Rujeena Mathema, Alexander Szorkovszky, Anis Yazidi, Pedro G. Lind

“…This study introduces a Generative Adversarial Network (GAN) framework employing Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) generators and discriminators to generate high-fidelity synthetic eye gaze velocity trajectories. …”
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Automatic Generation of Standard Nursing Unit Floor Plan in General Hospital Based on Stable Diffusion by Zhuo Han, Yongquan Chen

“…Additionally, a comparative experiment was conducted using the same dataset to train a deep learning model based on Generative Adversarial Networks (GANs). …”
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Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulation by Juan Yang, Xiang Li, Li Ma, Jun Zhang

“…Weighted gene co-expression network analysis (WGCNA) was employed to identify genetic modules associated with MI. …”
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Enhancing water saturation predictions from conventional well logs in a carbonate gas reservoir with a hybrid CNN-LSTM model by Ali Gohari Nezhad, Mohammad Emami Niri

“…The network architectures were designed with specific layers and activation functions to enhance predictive capabilities. …”
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Kolmogorov-Arnold Vision Transformer for Image Reconstruction in Lung Electrical Impedance Tomography by Ibrar Amin, Shuaikai Shi, Hasan AlMarzouqi, Zeyar Aung, Waqar Ahmed, Panos Liatsis

“…The proposed model is a hybrid of the vision transformer and the recently introduced Kolmogorov Arnold Network (KAN). The fully connected layers in the transformer are replaced with KAN layers, which enhances its ability to learn the complex relationship between the voltage measurements and the conductivity distribution within the lungs. …”
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Real-Time Large-Scale Neural Connectivity Inference on Spiking Neuromorphic System by Daeyoung Kim, Seongsik Park, YeonJoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Hyun Jae Jang, Inho Kim, Jong-Kook Kim, Jongkil Park

“…A deep understanding of neuronal circuitry connectivity is essential to replicate biological functions effectively. Inferring neural connectivity considers the cross-correlation of spike timing. …”
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