Comparative analysis of corpus callosum lipidome and transcriptome in schizophrenia and healthy brain by Maria S. Osetrova, Olga I. Efimova, Marina D. Zavolskova, Elena A. Stekolschikova, Gleb N. Vladimirov, Dmitry A. Senko, Tatiana A. Zhuravleva, Anna Y. Morozova, Yana A. Zorkina, Denis S. Andreyuk, George P. Kostyuk, Evgeniy N. Nikolaev, Philipp E. Khaitovich

“…Transcriptome analysis identified 1,202 differentially expressed genes, clustered into four functional modules, one of which was associated with lipid metabolism. …”
Get full text

Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency Applications by Chin-Teng Lin, Chen-Yu Wang, Kuan-Chih Huang, Shi-Jinn Horng, Lun-De Liao

“…This developed system has passed simulation tests and exhibited proper functioning of all modules and subsystems. In the future, the functionalities of the proposed system can be expanded with additional modules to support various emergency or ICU applications.…”
Get full text

Deep Learning Empowered Service Selection in FANETs: A 5G-Enabled UAV-Cloud Architecture by Mohamed Ben Bezziane, Messaoud Abbas, Hessa Alfraihi, Bouziane Brik, Yacine Khaldi, Oussama Aiadi, Hasan Siham

“…In this context, a UAV can function as a cloud service provider, offering services such as memory, computing, and network connectivity to consumer UAVs. …”
Get full text

Perturbations in the microbiota-gut-brain axis shaped by social status loss by Ruijing Yang, Xin Wang, Jie Yang, Xingyu Zhou, Yiyuan Wu, Yifan Li, Yu Huang, Jianping Zhang, Ping Liu, Minghao Yuan, Xunmin Tan, Peng Zheng, Jing Wu

“…Here, using a forced loss paradigm to demote dominant mice to subordinate ranks, we find that stress alters the composition and function of the gut microbiota, increasing Muribaculaceae abundance and enhancing butanoate metabolism, and gut microbial depletion resists forced loss-induced hierarchical demotion and behavioral alteration. …”
Get full text

Strategies and applications of antibacterial surface-modified biomaterials by Qianwei Su, Yunyun Xue, Chuyao Wang, Qirong Zhou, Yu Zhao, Jiacan Su, Baoku Zhu

“…Active surfaces function through agent release or contact-mediated killing, while passive surfaces inhibit bacterial adhesion by modulating surface topography or chemistry. …”
Get full text

Transcriptomic Analysis Reveals the Role of Long Non-Coding RNAs in Response to Drought Stress in Tibetan Hulless Barley by Zitao Wang, Yue Fang, Qinyue Min, Kaifeng Zheng, Yanrong Pang, Jinyuan Chen, Feng Qiao, Shengcheng Han

“…Given the <i>trans</i>-regulatory functions of lncRNAs, we utilized WGCNA and uncovered 11 modules that were enriched in drought-responsive pathways. …”
Get full text

User-centred design of ChestCare: mHealth app for pulmonary rehabilitation for patients with COPD; a mixed-methods sequential approach by Suad J. Ghaben, Arimi Fitri Mat Ludin, Nazlena Mohamad Ali, Devinder Kaur Ajit Singh

“…Conclusions The development and validation of the ChestCare app resulted from conducting UCD iterative design and sequential MMR, which identified 13 functionalities, including symptom assessment, tracking lung volume, functional capacity test, action plan, intervention program, COPD education, COPD community, monitoring and reminders.…”
Get full text

Temporal dynamics of nutrient release from mulching of legume roots and shoots litter driven by microbial community during decomposition in organic orchards by Mingming Cai, Huimin Chen, Hua Tan, Jiaxuan Chen, Shubin He, Mingxiu Long

“…The values were higher than those observed in random networks, indicating the presence of functional modules and enhanced stability within the root microbial community. …”
Get full text

Identification of Hub Genes Related to Carcinogenesis and Prognosis in Colorectal Cancer Based on Integrated Bioinformatics by Benjiao Gong, Yanlei Kao, Chenglin Zhang, Fudong Sun, Zhaohua Gong, Jian Chen

“…We identified and validated 212 differentially expressed genes (DEGs) from six Gene Expression Omnibus (GEO) datasets and the Cancer Genome Atlas (TCGA) database. We investigated functional enrichment analysis for DEGs. The protein-protein interaction (PPI) network was constructed, and hub modules and genes in CRC carcinogenesis were extracted. …”
Get full text

Identification and expression analysis of TALE superfamily genes explore their key roles in response to abiotic stress in Brassica napus by Meili Xie, Xiaojuan Zhang, Kexin Liu, Zhixian Qiao, Xiaohui Cheng

“…Conclusions Our study paves the way for future gene functional research of BnTALE and facilitate their applications in the genetic improvement of B. napus in response to abiotic stresses.…”
Get full text

Genetic predisposition to immune dysregulation and extracellular matrix remodeling in cardiac arrhythmia reveals potential mediation by SPP1+ macrophages by Jie-Yuan Jin, Jie-Yuan Jin, Shuai Guo, Yao Deng, Ya-Qin Chen, Chen Liang, Yu-Jie Jiang, Wang Zhao, Rong Xiang

“…The identified recurrently mutated (r.m.) genes were analyzed using protein-protein interaction networks and gene ontology enrichment for functional modules. These genomic insights were integrated with single-cell data (7 arrhythmias, 5 controls) to examine cell-type-specific gene expression changes, with particular focus on SPP1+ macrophage states.ResultsWe identified 132 r.m. genes present in ≥30% of patients in our cohort, with significant functional module enrichment in immune regulation, tissue homeostasis, extracellular matrix, and vesicle transport pathways. …”
Get full text

Discovering new hub genes of dilated cardiomyopathy by Jun‐Yan Zhu, Yu Han, Jing‐Yu Yang, De‐Ping Wang, Li‐Juan Gao, Teng Sun, Yan‐Lin Feng, Zhong‐Mei He, Bin Zhou, Ji‐Min Cao

“…The cDEGs were subjected to Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and the protein–protein interaction (PPI) networks and functional modules were constructed to screen the hub genes. …”
Get full text

Evaluation of integrated foundational medical curriculum from Wuhan University: a cross-sectional study based on questionnaires by Xianlong Zhou, Bingyang Lv, Xingxing He, Dongxu Li, Xiaoyang Zhang, Wei Fan, Ping Wang, Jie Liu, Mingxia Yu

“…., Cell, Molecule and Genes (CMG) and Tissue and Function (TF). The purpose of this paper is to unfold problems in the design and implementation of integrated curricula by analyzing these two courses and explore possible ways to improve them. …”
Get full text

An Efficient Printing Defect Detection Based on YOLOv5-DCN-LSK by Jie Liu, Zelong Cai, Kuanfang He, Chengqiang Huang, Xianxin Lin, Zhenyong Liu, Zhicong Li, Minsheng Chen

“…Secondly, we incorporate the Large Selective Kernel (LSK) and RepConv modules into the feature fusion network, while also integrating a loss function that combines Normalized Gaussian Wasserstein Distance (NWD) with Efficient IoU (EIoU) to enhance the model’s focus on small targets. …”
Get full text

Improved YOLOv8-Based Segmentation Method for Strawberry Leaf and Powdery Mildew Lesions in Natural Backgrounds by Mingzhou Chen, Wei Zou, Xiangjie Niu, Pengfei Fan, Haowei Liu, Cuiling Li, Changyuan Zhai

“…The loss function combined CIOU with MPDIOU to enhance adaptability in challenging scenarios. …”
Get full text

Metabolic Differences between Dogs of Different Body Sizes by Rondo P. Middleton, Sebastien Lacroix, Marie-Pier Scott-Boyer, Nikola Dordevic, Adam D. Kennedy, Amanda R. Slusky, Jerome Carayol, Christina Petzinger-Germain, Alison Beloshapka, Jim Kaput

“…Additionally, analysis of small dog metabolites and clinical parameters reflected a network which strongly associates with kidney function.…”
Get full text

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network by Jakov Ivan S. Dumbrique, Jakov Ivan S. Dumbrique, Reynan B. Hernandez, Reynan B. Hernandez, Juan Miguel L. Cruz, Ryan M. Pagdanganan, Prospero C. Naval

“…Ablation studies further reveal that using a mixed Tversky and Focal loss function significantly improves performance compared to using solely the Tversky loss. …”
Get full text

A Spatiotemporal Fusion Network for Remote Sensing Based on Global Context Attention Mechanism by Weisheng Li, Yusha Liu, Yidong Peng, Fengyan Wu

“…Supervision of both the final output and intermediate difference images is facilitated by a composite loss function, which improves the fusion quality in the temporal, spatial, and visual domains. …”
Get full text

A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…The network optimization process involves employing an integrated loss function consisting of two modules: the generative-adversarial module facilitates spatial data distribution understanding for extracting high-quality information, while the clustering module aids in identifying disease subtypes. …”
Get full text

Fine-Grained Style Alignment and Class Balance for Unsupervised Domain Adaptation in Remote Sensing Image Segmentation by Yousheng Xu, Weiji Wang, Wei Yao, Shengzhou Xu

“…To address these issues, this article proposes two innovative modules. First, we introduce the SelfAdaIN module, which precisely controls the style transformation process through an adaptive convolutional generation mechanism. …”
Get full text