Coexistence of CN1A autoantibodies in GAD65 encephalitis exacerbates neurodegeneration by Annika Breuer, Delara Kamalizade, Tobias Baumgartner, Juliane L. Berns, Thoralf Opitz, Franziska S. Thaler, Susanne Schoch, Lars Komorowski, Christoph Helmstaedter, Rainer Surges, Albert J. Becker, Julika Pitsch

“…Conclusion GAD65 antibodies directly affect neuronal viability and network activity. Co-existing autoantibodies against CN1A, present in anti-GAD65-positive patients, enhance autophagy and subsequent neuronal death in vitro. …”
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Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis by Alessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, Damiano Verda, Zunamys I. Carrero, Bastian Engel, Richard Taubert, Francesca Bolis, Laura Cristoferi, Federica Malinverno, Francesca Colapietro, Reha Akpinar, Luca Di Tommaso, Luigi Terracciano, Ana Lleo, Mauro Viganó, Cristina Rigamonti, Daniela Cabibi, Vincenza Calvaruso, Fabio Gibilisco, Nicoló Caldonazzi, Alessandro Valentino, Stefano Ceola, Valentina Canini, Eugenia Nofit, Marco Muselli, Julien Calderaro, Dina Tiniakos, Vincenzo L’Imperio, Fabio Pagni, Nicola Zucchini, Pietro Invernizzi, Marco Carbone, Jakob Nikolas Kather

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Psychometric properties of the Dating Violence Questionnaire for Victimization and Perpetration (DVQ-VP) in Ecuadorian population by Andrés Ramírez, Luis Burgos-Benavides, Javier Herrero Díez, Hugo Sinchi-Sinchi, Alhena L. Alfaro-Urquiola, Venus Medina-Maldonado, Francisco Javier Rodríguez-Díaz

“…Additionally, a network analysis was conducted with the DVQ-VP items. …”
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Expression of pathogenesis-related proteins in potato brown rot plants confers resistance to filamentous pathogens under field trials by Hanaa S. Omar, Mohamed H. Hagag, Dina El-Khishin, Mona Hashem

“…The DGGE uses 16 srRNA primers that were used to compare two extreme patterns for identifying the microbial population detected in environmental samples. …”
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ZO-1 boosts the in vitro self-renewal of pre-haematopoietic stem cells from OCT4-reprogrammed human hair follicle mesenchymal stem cells through cytoskeleton remodeling by Yingchun Ruan, Xingang Huang, Pengpeng Sun, Xiaozhen Yu, Xiaohua Tan, Yaolin Song, Hua Chen, Zhijing Liu

“…These intermediate cells exhibit gene expression patterns similar to pre-HSCs, making them promising for artificial haematopoiesis. …”
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Multidimensional analysis suggests that ZNF433 is a promising biomarker for the diagnosis and prognosis of human cancers by Lingyu Xie, Lingyu Xie, Xin Zeng, Xin Zeng, Hui Luo, Hui Luo, Bin Xie, Xuefeng Wang, Nan Wu, Junrong Zou, Junrong Zou, Junrong Zou, Guoxi Zhang, Guoxi Zhang, Guoxi Zhang, Xiaofeng Zou, Xiaofeng Zou, Xiaofeng Zou, Hui Xu, Hui Xu, Hui Xu

“…Functional enrichment and protein interaction network analyses were also performed to explore its potential involvement in cancer-related pathways.ResultsOur findings revealed that ZNF433 is significantly downregulated in most cancer types, with stage-dependent expression patterns observed in KIRC and KIRP. …”
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Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

“…The satellite-derived SM data are evaluated and compared using 40 globally distributed SM observation networks at both regional (dense network) and grid scales. …”
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Mouse SPAG6L, a Key Cytoskeleton Modulator Essential for Male Germ Cell Development, Is Not Required for Sertoli Cell Function by Tao Li, Wei Li, Cheng Zheng, Jannette M. Dufour, William H. Walker, Shuiqiao Yuan, Zhibing Zhang

“…Since SPAG6L decorates microtubules and modulates cytoskeleton function, and Sertoli cells have a well-developed microtubule transport network, the potential function of SPAG6L in Sertoli cells was evaluated. …”
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DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model by Fatma S. Alrayes, Hamed Alqahtani, Wahida Mansouri, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Mahmud

“…The DeepGuard model uses long short-term memory neural networks (LSTM-NNs) for violence detection. The performance evaluation of the DeepGuard model takes place using benchmark datasets. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak

“…Our approach begins by acquiring spatial features from contrast-enhanced images using a Convolutional Neural Network (CNN) effectively capturing intricate patterns and structures characteristic of different carcinoma subtypes. …”
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Multi-scale spatial differentiation and formation mechanisms of rural settlements (RS): a Geodetector-based analysis in the middle-lower yellow river basin (ML-YRB), China by Xiaoping Zhang, Xiaoping Zhang, Lu Yu, Xin Wen, Lijing Li, Huabin Xiao, Xunxi Yin

“…Furthermore, geographic detectors are employed to quantitatively evaluate the explanatory power of natural geographical and socio-economic factors for RS spatial differentiation. …”
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Hybrid deep learning framework for real-time DO prediction in aquaculture by Longqin Xu, Wenjun Liu, Cai Chengqing, Tonglai Liu, Xuekai Gao, Ferdous Sohel, Murtaza Hasan, Mansour Ghorbanpour, Shahbaz Gul Hassan, Shuangyin Liu

“…However, off-the-shelf models, such as Random Forest (RF) and Back Propagation (BP) have demonstrated poor performance due to intricate interactions in aquatic ecosystems, which leads to complex data patterns. This study proposes a water quality estimation model by combining a convolutional neural network (CNN), self-attention (SA), and bidirectional simple recurrent unit (BiSRU). …”
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AudioProtoPNet: An interpretable deep learning model for bird sound classification by René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz

“…We introduce AudioProtoPNet, an adaptation of the Prototypical Part Network (ProtoPNet) for multi-label bird sound classification. …”
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SmartTrust: a hybrid deep learning framework for real-time threat detection in cloud environments using Zero-Trust Architecture by Umesh Kumar Lilhore, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi, Md Monish Khan

“…SmartTrust integrates CNN, LSTM, and Transformer models to analyze spatial and temporal patterns in network traffic and user behaviours. Unlike conventional models, it leverages Reinforcement Learning to enable adaptive decision-making, allowing it to adjust responses based on real-time contextual signals dynamically. …”
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In Silico Analysis of Dysregulated Genes and Drug Resistance in Epstein-Barr Virus Associated Gastric Cancer by Tabassom Sedaghat Anbouhi, Hossein Sazegar, Ebrahim Rahimi

“…Recognizing its complex and diverse nature, the cancer genome atlas (TCGA) research network has identified four distinct subtypes of GC. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…Abstract The rapid proliferation of Internet of Things (IoT) devices has significantly expanded the network attack surface, necessitating the deployment of advanced AI (artificial intelligence)-based intrusion detection systems (IDS) to bolster IoT security. …”
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BRD4 as the key lactylation related gene in heart failure identified through bioinformatics analysis by Kaiyuan Li, Lingyu Han, Xiaowen Wang, Zhipeng Zheng, Min Sha, Jun Ye, Li Zhu

“…Key LRGs implicated in HF were selected using the Least Absolute Shrinkage and Selection Operator (LASSO) and Weighted Gene Co-Expression Network Analysis (WGCNA). The diagnostic efficacy and biological significance of these genes were evaluated through receiver operating characteristic (ROC) curve analysis, Gene Set Enrichment Analysis, and immune cell infiltration analysis. …”
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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…Neural networks offer a powerful means of capturing and interpreting the intricate associations linking structural parameters with performance metrics. …”
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Spatial optimization of hierarchical healthcare facilities driven by multi-source data: a case study of Shenyang, China by Yifei Wang, Duanqiang Zhai, Duanqiang Zhai, Wuqi Xie, Shan Huang

“…Through kernel density estimation, bivariate spatial autocorrelation, and service area network analysis, the spatial distribution and accessibility patterns of healthcare facilities across tertiary, secondary, and primary levels are comprehensively evaluated. …”
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Estimating chlorophyll content in tea leaves using spectral reflectance and deep learning methods by Yuta Tsuchiya, Yuhei Hirono, Rei Sonobe

“…Accurate estimation of chlorophyll content in tea leaves is essential for evaluating plant health, managing fertilization, and optimizing harvest timing in precision agriculture. …”
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