Person-centered analyses reveal that developmental adversity at moderate levels and neural threat/safety discrimination are associated with lower anxiety in early adulthood by Lucinda M. Sisk, Taylor J. Keding, Sonia Ruiz, Paola Odriozola, Sahana Kribakaran, Emily M. Cohodes, Sarah McCauley, Sadie J. Zacharek, Hopewell R. Hodges, Jason T. Haberman, Jasmyne C. Pierre, Camila Caballero, Arielle Baskin-Sommers, Dylan G. Gee

“…Abstract Parsing heterogeneity in the nature of adversity exposure and neurobiological functioning may facilitate better understanding of how adversity shapes individual variation in risk for and resilience against anxiety. …”
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Gut–Vaginal Microbiome Crosstalk in Ovarian Cancer: Implications for Early Diagnosis by Hao Lin, Zhen Zeng, Hong Zhang, Yongbin Jia, Jiangmei Pang, Jingjing Chen, Hu Zhang

“…This comprehensive review systematically examines the compositional alterations in and functional interplay between vaginal and intestinal microbial communities in ovarian cancer patients. …”
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Oral trehalose improves histological and behavior symptoms of mucopolysaccharidosis type II in iduronate 2-sulfatase deficient mice by Hyesook Lee, Jung-Hwa Han, Roo Gam Jeong, Yun Jeong Kang, Byung Hyun Choi, Seo Rin Kim, Chong Kun Cheon, Jin Hur, Soo Yong Lee

“…Additionally, oral trehalose considerably improved cognitive functions, such as short-term spatial learning and working memory, alongside limited improvements in walking capacity in Ids-KO mice. …”
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Compact circularly polarized dual band antenna with modified patch for ISM and V2X communication systems by E. D. Kanmani Ruby, T. Sathiyapriya, P. Sundaravadivel, D. Rajesh Kumar, Om Prakash Kumar, Shweta Vincent, Pallavi R. Mane

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Vulnerability of long-range inputome of basal forebrain in normal aging mice by Tingting Sun, Jiale Chen, Bimin Liu, Anan Li, Hui Gong, Xiangning Li, Xiangning Li

“…The basal forebrain (BF) has been shown to have complex connections with the hippocampus (Hip) and medial prefrontal cortex (mPFC) through circuits, and is involved in cognitive functions. However, which circuit is most vulnerable during normal aging remains unclear.MethodsUtilizing a combination of viral tracing and fluorescence Micro-Optical sectioning tomography (fMOST), we performed quantitative analyses on the whole-brain inputs of the BF, Hip, and mPFC during normal aging.Results and discussionThe long-range inputome revealed that the nucleus of the diagonal band (NDB) of BF was vulnerability to damage, especially the connection strength of the vCA3-NDB circuit is significantly reduced, which may be related to decision making. …”
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Outdoor Environment Design Optimization of an Office Building Based on Indoor Thermal Conditions and Building Energy Performance by Yaolin Lin, Tao Huang, Wei Yang, Melissa Chan, Chun-Qing Li, Mingqi Dai, Pengju Chen

“…Fourthly, the artificial neural network models were used as fitness functions for seven optimization algorithms and Pareto front solutions were obtained during the optimization process. …”
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Understanding the Impact of Assistive Technology on Users’ Lives in England: A Capability Approach by Rebecca Joskow, Dilisha Patel, Anna Landre, Kate Mattick, Catherine Holloway, Jamie Danemayer, Victoria Austin

“…Using inductive thematic analysis, we identify three main domains of user-reported impact: Functions and Activities (e.g., mobility, communication, vision, leisure, daily routines, and cognitive support), Outcomes (e.g., autonomy, quality of life, safety, social participation, wellbeing, and work and learning), and Lived Experience (e.g., access barriers, essentiality, identity and emotional connection, peace of mind, and sense of control and confidence). …”
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An Enhanced Starfish Optimization Algorithm via Joint Strategy and Its Application in Ultra-Wideband Indoor Positioning by Yu Liu, Maosheng Fu, Zhengyu Liu, Huaiqing Liu, Wei Peng, Ling Li, Yang Yang, Xiancun Zhou, Chaochuan Jia

“…In total, 23 benchmark functions and CEC2021 were used to test the development, search, and convergence capabilities of the SFOAL. …”
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Engineering Synthetic Microbial Communities: Diversity and Applications in Soil for Plant Resilience by Arneeb Tariq, Shengzhi Guo, Fozia Farhat, Xihui Shen

“…Artificial intelligence-driven models can predict complex microbial interactions, while machine learning algorithms can analyze vast datasets to identify key microbial taxa and their functions. …”
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Biomimetic Visual Information Spatiotemporal Encoding Method for In Vitro Biological Neural Networks by Xingchen Wang, Bo Lv, Fengzhen Tang, Yukai Wang, Bin Liu, Lianqing Liu

“…These results demonstrate that the proposed method significantly enhances the functional connectivity and cross-module information exchange in BNNs.…”
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Harnessing protein language model for structure-based discovery of highly efficient and robust PET hydrolases by Banghao Wu, Bozitao Zhong, Lirong Zheng, Runye Huang, Shifeng Jiang, Mingchen Li, Liang Hong, Pan Tan

“…X-ray crystallography and molecular dynamics simulations show that KbPETase possesses a conserved catalytic domain and enhanced intramolecular interactions, underpinning its improved functionality and thermostability. This work demonstrates a novel deep learning approach for discovering natural PETases with enhanced properties.…”
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Toll-like receptors in atopic dermatitis: pathogenesis and therapeutic implications by Ahmad Vafaeian, Fateme Rajabi, Nima Rezaei

“…Future directions include CRISPR-based gene editing to understand TLR functions, development of specific TLR modulators for targeted therapy, and machine learning applications to predict drug responses and identify novel ligands. …”
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Are There Race‐Based Differences in Neuropsychological Test Performance and Psychological Symptom Endorsement Among Adults Diagnosed With ADHD? by Matthew S. Phillips, Mira I. Leese, Steven A. Abalos, Greg Shapiro, Kailyn Bare, Nevin A. Orleans, Nicole M. Durkin, Jason R. Soble

“…Methods Data from 491 adults with a confirmed diagnosis of ADHD were analyzed to assess for differences in broad neurocognitive domains (i.e., learning and memory, attention/working memory, processing speed, and executive functions), as well as on measures of mood and ADHD‐related symptomatology. …”
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Ultra-Short-Term Forecasting-Based Optimization for Proactive Home Energy Management by Siqi Liu, Zhiyuan Xie, Zhengwei Hu, Kaisa Zhang, Weidong Gao, Xuewen Liu

“…This study proposes an enhanced mixed-integer optimization algorithm to collaboratively optimize multiple objective functions, thereby refining appliance scheduling, energy storage utilization, and grid interaction. …”
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Tourette Syndrome in Children: An Updated Review by Jung-Chieh Du, Ting-Fang Chiu, Kun-Mei Lee, Hsin-Lin Wu, Ya-Chi Yang, Shu-Yeh Hsu, Chung-Shu Sun, Betau Hwang, James F. Leckman

“…Treatment for TS should focus on improving the patient's social functioning, minimizing the impairment from cormobid disorders, and controlling tics, if they are severe. …”
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Large language model agent for nuclear reactor operation assistance by Yoon Pyo Lee, Joowon Cha, Yonggyun Yu, Seung Geun Kim

“…Previous studies have demonstrated the potential of deep learning for tasks such as anomaly detection and heat-up mode automation. …”
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Broadband unidirectional visible imaging using wafer-scale nano-fabrication of multi-layer diffractive optical processors by Che-Yung Shen, Paolo Batoni, Xilin Yang, Jingxi Li, Kun Liao, Jared Stack, Jeff Gardner, Kevin Welch, Aydogan Ozcan

“…This approach is enabled by deep learning-driven diffractive optical design with wafer-scale nano-fabrication using high-purity fused silica to ensure optical transparency and thermal stability. …”
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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

“…Wind farm performance monitoring has traditionally relied on deterministic models, such as power curves or machine learning approaches, which often fail to account for farm-wide behavior and the uncertainty quantification necessary for the reliable detection of underperformance. …”
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Modeling of Chemiresistive Gas Sensors: From Microscopic Reception and Transduction Processes to Macroscopic Sensing Behaviors by Zhiqiao Gao, Menglei Mao, Jiuwu Ma, Jincheng Han, Hengzhen Feng, Wenzhong Lou, Yixin Wang, Teng Ma

“…For the reception process, density functional theory (DFT), molecular dynamics (MD), ab initio molecular dynamics (AIMD), and Monte Carlo (MC) methods were analyzed. …”
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A flexible multi-agent system for managing demand and variability in hybrid energy systems for rural communities by Ehab S. Ali, M. H. Elkholy, Tomonobu Senjyu, Sahar M. Abd Elazim, Emad S. Hassan, Zuhrir Alaas, Mohammed Elsayed Lotfy

“…A hybrid backup architecture for energy supply continuity in low availability of RESs, in addition to vehicle-to-grid (V2G) functionality enabling EVBs to support grid stability. …”
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