Bee-stings-inspired intelligently-sensitive electroactive microneedle with serrated structure for advanced electrical-stimulation-intervened chronic wound-management by Huie Jiang, Jiamin Zhang, Lijuan Chen, Qian Zhang, Fengqian Yang, Yifan Fei, Xing Chen, Xinhua Liu

“…Herein, bio-inspired by the serrated structure of bee-stingers, we developed a temperature-sensitive, two-stage microneedle-based electroactive platform (GP-PPy/PLA-MN) featuring rivet-like microstructures that integrates intelligent, precise drug-releasing, ES-transmission, and real-time wound-assessment monitoring for comprehensive chronic wound-management and diagnostic therapy. …”
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Pork-YOLO: Automated collection of pork quality traits by Jiacheng Wei, Xi Tang, Jinxiu Liu, Ting Luo, Yan Wu, Junhui Duan, Shijun Xiao, Zhiyan Zhang

“…Next, the StarNet backbone was integrated, employing star-shaped operations for high-dimensional feature representation while maintaining computational efficiency, along with a hierarchical convolutional structure to boost performance. …”
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<i>Cirsium setosum</i> Extract-Loaded Hybrid Nanostructured Scaffolds Incorporating a Temperature-Sensitive Polymer for Mechanically Assisted Wound Healing by Xiaojing Jiang, Shaoxuan Zhu, Jinying Song, Xingwei Li, Chengbo Li, Guige Hou, Zhongfei Gao

“…<b>Methods</b>: In this study, a bioactive extract from thistle was obtained and incorporated into a thermosensitive triblock copolymer (PNNS) and polycaprolactone (PCL) to develop a multifunctional nanofibrous scaffold for enhanced wound healing. …”
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From Labquakes to Megathrusts: Scaling Deep Learning Based Pickers Over 15 Orders of Magnitude by Peidong Shi, Men‐Andrin Meier, Linus Villiger, Katinka Tuinstra, Paul Antony Selvadurai, Federica Lanza, Sanyi Yuan, Anne Obermann, Maria Mesimeri, Jannes Münchmeyer, Patrick Bianchi, Stefan Wiemer

“…We develop an open‐source Python module quakephase that implements these methods and can flexibly process input continuous seismic data of any sampling rate. …”
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Additive manufacturing of continuous carbon fiber reinforced PETG with ultra-high interlaminar shear strength by Wenbo Wang, Yong Hu, Lei Yang, Yudong Lin, Lei Zhou, Jiayun Ma, Bing Liu, Xuan Cai, Chunze Yan, Yusheng Shi, Xiyong Chen

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Simultaneous optimization of power factor and thermal conductivity via charge transfer effect and enhanced scattering of phonons in Si80Ge20P1/CoSi2 composites by Runze Shi, Jie Gao, Lei Miao, Chengyan Liu, Ying Peng, Jun-Liang Chen, Huajun Lai, Kun Hu

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Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…Objective: This study aimed to develop and externally validate a mathematical model for predicting cardiovascular aging in individuals aged 65 and older, based on general clinical and behavioral data. …”
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Pre-Symptomatic Detection of Nicosulfuron Phytotoxicity in Vegetable Soybeans via Hyperspectral Imaging and ResNet-18 by Yun Xiang, Tian Liang, Yuanpeng Bu, Shiqiang Cai, Jingjie Guo, Zhongjing Su, Jinxuan Hu, Chang Cai, Bin Wang, Zhijuan Feng, Guwen Zhang, Na Liu, Yaming Gong

“…Current methodologies lack rapid, non-invasive approaches for early-stage prediction of herbicide-induced stress. To develop and validate a spectral-feature-based prediction model for herbicide concentration classification, we conducted a controlled experiment exposing three-leaf-stage vegetable soybean (<i>Glycine max</i> L.) seedlings to aqueous solutions containing three concentrations of nicosulfuron herbicide (0.5, 1, and 2 mL/L) alongside a water control. …”
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FRET Visualization of High Mechanosensation of von Willebrand Factor to Hydrodynamic Force by Mingxing Ouyang, Yao Gao, Binqian Zhou, Jia Guo, Lei Lei, Yingxiao Wang, Linhong Deng

“…Here, a Förster resonance energy transfer (FRET) biosensor was developed to monitor vWF conformation change to hydrodynamic force. …”
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Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…The validated nomogram, developed using longitudinal data from a substantial elderly cohort, incorporates CMI to enable preclinical risk stratification, supporting timely preventive strategies.…”
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Recognition of pivotal immune genes NR1H4 and IL4R as diagnostic biomarkers in distinguishing ovarian clear cell cancer from high-grade serous cancer by Yumin Ke, Meili Liang, Zhimei Zhou, Yajing Xie, Li Huang, Liying Sheng, Yueli Wang, Xinyan Zhou, Zhuna Wu

“…These findings enhance understanding of OCCC pathogenesis and provide a foundation for developing targeted diagnostic tools and immunotherapeutic strategies.…”
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Perineural invasion in pancreatic cancer: proteomic analysis and in vitro modelling by Wasfi Alrawashdeh, Richard Jones, Laurent Dumartin, Tomasz P. Radon, Pedro R. Cutillas, Roger M. Feakins, Branko Dmitrovic, Ihsan Ekin Demir, Guralp O. Ceyhan, Tatjana Crnogorac‐Jurcevic

“…Perineural invasion (PNI) is a common and characteristic feature of pancreatic ductal adenocarcinoma (PDAC) that is associated with poor prognosis, tumor recurrence, and generation of pain. …”
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Mask-UnMask Regions (MUMR) Framework for Classifying AMD Grades Using Inter-Regional Interaction Analysis by Ibrahim Abdelhalim, Namuunaa Nadmid, Mohamed Elsharkawy, Mohammed Ghazal, Ali H. Mahmoud, Ayman El-Baz

“…The framework initiates with the downscaling of images to a quarter of their original size via a Preserving High-Frequency Information (PHFI) module, which retains key details essential for further analysis. Additionally, we developed a simple, lightweight, yet efficient ResNet-like network for feature extraction and introduced a Region Interaction (RI) module. …”
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Risk Factors and Comorbidities Associated to Cardiovascular Disease in Qatar: A Machine Learning Based Case-Control Study by Hamada R. H. Al-Absi, Mahmoud Ahmed Refaee, Atiq Ur Rehman, Mohammad Tariqul Islam, Samir Brahim Belhaouari, Tanvir Alam

“…The objective of this case-control study was to develop machine learning (ML) model distinguishing healthy individuals from people having CVD, which could ultimately reveal the list of potential risk factors associated to CVD in Qatar. …”
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Anthocyanin Films in Freshness Assessment of Minced Fish by Natalya Yu. Chesnokova, Yury V. Prikhodko, Alla A. Kuznetsova, Liudmila V. Kushnarenko, Valeria A. Gerasimova

“…The research objective was to develop films from anionic polysaccharides and anthocyanin pigment that can be used as a freshness indicator of minced fish. …”
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Interdisciplinary oral and primary health care for patients with disabilities by Sodabeh Etminan, Elsa Hammerdahl, Linda Lesondak, Nicole Li, Manav Patel, Matthew Mischler, Mary Keehn, Kristi Kirschner

“…This study explores whether a specialized model of dental care—featuring longer appointment times, desensitization techniques, accessible dental furniture, and an interdisciplinary, collaborative team of providers trained to work with individuals with disabilities—can improve dental and overall health outcomes.MethodsA total of 50 participants aged 18 years or older with an intellectual or developmental disability (IDD) diagnosis were recruited from a Federally Qualified Health Center (FQHC). …”
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Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum by Ruizhou Guo, Ben Liu, Yunqi Wu, Yilu Zhang, Xiyang Wang, Dingyu Jiang, Zheng Liu

“…Abstract To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fluid leakage (CSFL) after posterior decompression for thoracic ossification of the ligamentum flavum (TOLF), and to elucidate the key risk factors driving model decisions. …”
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Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database by Shengwei Lin, Wenbin Lu, Ting Wang, Ying Wang, Xueqian Leng, Lidan Chi, Peipei Jin, Jinjun Bian

“…We performed feature selection using the random forest method. …”
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Optimizing pyrolysis and Co-Pyrolysis of plastic and biomass using Artificial Intelligence by Manish Sharma Timilsina, Yuvraj Chaudhary, Prikshya Bhattarai, Bibek Uprety, Dilip Khatiwada

“…Thirdly, key factors contributing to yield include plastic content (18 %) and biomass type (13 %) have been identified through Gini feature importance and Shapley Additive Explanation (SHAP) analysis. …”
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Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

“…Firstly, we create a new backbone structure named RKNet to enhance aggression feature extraction and representation learning ability. …”
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