Altered dynamic functional network connectivity in rheumatoid arthritis associated with peripheral inflammation and neuropsychiatric disorders by Lei Xie, Yanmin Zheng, Zhiduo Hou, Shuhua Ma, Zikai Huang, Jianhua Peng, Shuxin Huang, Ruiwei Guo, Jinzhuang Huang, Zhirong Lin, Zelin Zhuang, Jingjing Yin

“…The Spearman correlation was calculated between aberrant DFC alterations, Montreal Cognitive Assessment (MoCA), Hospital Anxiety and Depression Scale (HAD), C reactive protein (CRP) and erythrocyte sedimentation rate (ESR). Diagnostic efficacy of indicators was assessed using receiver operating characteristic analysis (ROC).Results Three dynamic functional states were identified. …”
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T-cell repertoire correlates with cytokine imbalance in multiple sclerosis patients by Lisa Weidner, Lisa Weidner, Rodolphe Poupardin, Tobias Zrzavy, Sandra Laner-Plamberger, Georg Gratz, Tanja Eichhorn, Viktoria Weber, Paulus S. Rommer, Christof Jungbauer, Christof Jungbauer, Dirk Strunk, Dirk Strunk

“…TCR sequencing revealed more productive rearrangements in CSF of MS and a significantly higher shared clone recovery rate in blood. We found significant associations involving 492 unique sequences and 34 cytokines in blood. …”
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Plasma state monitoring and disruption characterization using multimodal VAEs by Yoeri Poels, Alessandro Pau, Christian Donner, Giulio Romanelli, Olivier Sauter, Cristina Venturini, Vlado Menkovski, the TCV Team, the WPTE Team

“…Subsequently, we can identify continuous indicators for the disruption rate and the disruptivity based on statistical properties of measurement data. …”
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Multi-Objective Optimization of Off-Grid E-Bikes Charging Stations Powered by PhotoVoltaics by Fabio Corti, Gabriele Maria Lozito, Davide Astolfi, Salvatore Dello Iacono, Antony Vasile, Marco Pasetti, Alberto Reatti, Alessandra Flammini

“…A Genetic Algorithm is employed to determine the most appropriate rated power of the installed PhotoVoltaic (PV) systems and of the energy storage, by incorporating statistical methods to estimate the daily number of e-bikes requiring charging, hence making the optimization process more reflective of actual usage patterns. …”
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Behavioral Responses of Migratory Fish to Environmental Cues: Evidence from the Heishui River by Jiawei Xu, Yilin Jiao, Shan-e-hyder Soomro, Xiaozhang Hu, Dongqing Li, Jianping Wang, Bingjun Liu, Chenyu Lin, Senfan Ke, Yujiao Wu, Xiaotao Shi

“…Fish exhibited distinct diel migration patterns; upstream movements were largely nocturnal, whereas downstream migration mainly occurred during daylight. …”
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Apnea detection using wrist actigraphy in patients with heterogeneous sleep disorders by Xiaoman Xing, Sizhi Ai, Jihui Zhang, Rui Huang, Yaping Liu, Dongming Quan, Jiacheng Ma, Guoli Wu, Jiangen Xu, Yuan Zhang, Hongliang Feng, Wen-fei Dong

“…Wrist actigraphy is a widely-used and energy-efficient tool for respiratory rate estimation. The main challenge in OSA pattern recognition is handling various disturbances in real-world applications. …”
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Lymphatic system is the mainstream for breast cancer dissemination and metastasis revealed by single-cell lineage tracing by Kai Miao, Aiping Zhang, Xiaodan Yang, Yipeng Zhang, Anqi Lin, Lijian Wang, Xin Zhang, Heng Sun, Jun Xu, Jingyao Zhang, Yuzhao Feng, Fangyuan Shao, Sen Guo, Zhihui Weng, Peng Luo, Dong Wang, Shuai Gao, Xiao-Yang Zhao, Xiaoling Xu, Chu-Xia Deng

“…In this study, we applied a barcoding system based single-cell lineage tracing approach to study the metastasis rate and route of breast cancer cells and their interactions with the tumor microenvironment (TME) during metastasis. …”
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Spatial Heterogeneity of Bike-Sharing–Conventional Bus Intermodal Trip Distribution by Yang Chenyang, Tang Wenyun, Ma Jianxiao, Yin Chaoying, Wang Hanbin

“…The results indicated that the density of bike-sharing trips near bus stops followed a consistent pattern. The density decreases with increasing distance from the stop, and the rate of decline exhibits a "U-shaped" pattern. …”
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Systemic hormonal contraception and risk of venous thromboembolism by Oskari Heikinheimo, Elena Toffol, Timo Partonen, Anna But, Antti Latvala, Jari Haukka

“…This study aimed to assess the associations between the patterns of use of different systemic hormonal contraceptives and the risk of venous thromboembolism during 2017–2019. …”
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Path to Heritagization in Landscape Architecture: A Review of the Regeneration Design of Beijing Changchunyuan Park by Yufan ZHU

“…This place is a gathering of temples and guild halls and a primary access route to Xuanwu Gate which is the southern gateway to the imperial city. …”
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Optimizing fertilizer application and straw return to fields to minimize nitrogen and phosphorus runoff losses in double-rice cropping systems by Ying Zhang, Jian Zhu, Changjun Li, Hua Peng, Ji Liu, Yue Luo, Min Song, Yanjiao Dai, Kai Deng, Xionghui Ji

“…Unknown of long-term patterns of losses and mechanisms driving runoff N and P in double-rice cropping systems limited the development of effective mitigation strategies. …”
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Clinical benefit of tafasitamab plus lenalidomide in relapsed or refractory diffuse large Bcell lymphoma: real-world data from the EarlyMIND study by Gabriel Brisou, Jérôme Paillassa, Sophie Bernard, Olivier Tournilhac, Luc-Matthieu Fornecker, Frédéric Maloisel, Lauris Gastaud, Eric Durot, Adrian Tempescul, Thorsten Braun, Vadim Ivanov, Brieuc Cherel, Caroline Serrier, Jeremy Delage, Abderrazak El Yamani, Baptiste Delapierre, Laure Lebras, Elsa Lestang, Camille Villesuzanne, Philippe Agape, Guillaume Escure, Ludovic Fouillet, Christophe Nicol, Gaëlle Olivier, Anthony Levy, Anne-Sophie Le Bris, Ophélie Cassuto, Laura Jacquemelle, Corinne Haioun, Charles Herbaux

“…Approval was based on the L-MIND study, which demonstrated a 57.5% overall response rate (ORR), 41.3% complete response (CR) rate, 12.1 months median progression-free survival (PFS), and 33.5 months median overall survival (OS) at five years. …”
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Intraspecific and Intracolonial Variation in the Profile of Venom Alkaloids and Cuticular Hydrocarbons of the Fire Ant Solenopsis saevissima Smith (Hymenoptera: Formicidae) by Eduardo Gonçalves Paterson Fox, Adriana Pianaro, Daniel Russ Solis, Jacques Hubert Charles Delabie, Bruno Cunha Vairo, Ednildo de Alcântara Machado, Odair Correa Bueno

“…Some fire ant species are top-rated pests spreading throughout the world by trade vessels. …”
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Site of Service Changes Have Resulted in Increased Opioid Prescriptions for Primary Total Hip and Knee Patients in Michigan, a Michigan Arthroplasty Registry Collaborative Quality... by Harjot Uppal, MD, David Markel, MD, Giresse Melone, MD, Simarjeet Puri, MD, Lisheng Chen, PhD, Tae Kim, MHSA, Brian Hallstrom, MD, Richard Hughes, PhD, Elizabeth Dailey, MD

“…Background: The Michigan Arthroplasty Registry Collaborative Quality Initiative (MARCQI) successfully changed opioid prescribing patterns by instituting guidelines for total hip (THAs) and knee arthroplasties (TKAs). …”
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Tracking the infection dynamics of Fusarium oxysporum in Codonopsis pilosula based on GFP labelling by Mingming Shi, Huixia Li, Wei Guo, Ning Luo, Jinghuan Chen, Yonggang Liu, Rui Liu, Zhenchuan Mao

“…PEG-mediated transformation produced 11 GFP-tagged strains, with FO-GFP-7 retaining wild-type morphology, growth rate, and pathogenicity. Microscopic observation revealed infection dynamics: conidia aggregated at the rhizome by 2 days post-inoculation (dpi), followed by phloem colonization at 4 dpi and vascular invasion at 6 dpi. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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Artificial slope deformation monitoring and analyzing based on SBAS technology by Xiaochuan Huang, Xiaochuan Huang, Xiaochuan Huang, Jincang Liu, Jincang Liu, Jincang Liu, Ting Yang, Ting Yang, Ting Yang, Yun Li, Yun Li, Yun Li, Lipeng Zhou, Lipeng Zhou, Lipeng Zhou

“…To address this gap, we employed the SBAS-InSAR methodology to analyze 44 Sentinel-1 SAR images spanning a highway slope region in Foshan City, Guangdong Province, integrating the slope’s construction timeline to temporally dissect deformation patterns and assess geological risks. Our results revealed a maximum annual average settlement rate of −35.69 mm/yr and a peak cumulative settlement of −28.9 mm, with deformation trends strongly correlated to construction phases—primarily concentrated between April 2022 and March 2023. …”
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The cost effectiveness of a multidomain intervention on physical, cognitive, vascular, dietary and psychosocial outcomes among community dwelling older adults with cognitive frailt... by Pavapriya Ponvel, Suzana Shahar, Devinder Kaur Ajit Singh, Arimi Fitri Mat Ludin, Ponnusamy Subramaniam, Norhayati Ibrahim, Hasnah Haron, Aniza Ismail, Chin Ai-Vyrn, Mazlyfarina Mohamad, Hidayah Fadzil, Norhayati Mustafa Khalid, A’isyah Mohammad Safien, Jamilah Mohammad Hanipah, Azyana Ibrahim, Jenni Lehtisalo, Miia Kivipelto, Francesca Mangialasche

“…Despite a 50% dropout rate, adherence among remaining participants was over 50% for all intervention components (range 53%-91%). …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…The methodology incorporates quadratic exponential smoothing for outlier mitigation, followed by sequential feature extraction using convolutional neural networks (CNNs) and bidirectional gated recurrent units (GRUs). Comparative experiments demonstrate the model’s superiority over conventional architectures including RNN, LSTM, GRU, and CNN-GRU. …”
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