Association of interferon regulatory factor 8 dysregulation with dry eye in Sjögren’s syndrome by Jiao Wang, Guang-Hong Chu, Zi-Huan Wang, Xiao-Yu Cai, Si-Yuan Shi, Qi-Ping Qing, Qi Zhang

“…CONCLUSION: In SSDE, IRF-8 is upregulated and associated with clinical features, DC activation, and serological indicators. …”
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An Extreme Radio Fluctuation of Pulsar B1929+10 by Zhengli Wang, Shunshun Cao, Jiguang Lu, Yulan Liu, Xun Shi, Jinchen Jiang, Enwei Liang, Weiyang Wang, Heng Xu, Renxin Xu

“…Frequency-dependent analysis of DM indicates an extremely weak chromatic DM feature, which does not notably affect the radiative behavior detected. …”
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Small-Sample Authenticity Identification and Variety Classification of <i>Anoectochilus roxburghii</i> (Wall.) Lindl. Using Hyperspectral Imaging and Machine Learning by Yiqing Xu, Haoyuan Ding, Tingsong Zhang, Zhangting Wang, Hongzhen Wang, Lu Zhou, Yujia Dai, Ziyuan Liu

“…This approach highlights the potential of hyperspectral imaging and machine learning in plant authenticity identification and provides a new perspective for the detection of counterfeit species.…”
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Electroencephalographic biomarkers of antibody-mediated autoimmune encephalitis by Lu Sun, Yaping Hu, Jingjing Yang, Lihong Chen, Ying Wang, Wei Liu, Jau-Shyong Hong, Yunhui Lv, Lin Yang, Ying Wang

“…Further ROC curve and binary logistics regression analysis showed moderate to severe abnormal EEG was a risk factor for poor prognosis (OR = 11.942, p &lt; 0.05), with an AUC of 0.756.ConclusionEEG is a sensitive and valuable tool for AE and exhibit common and specific features across different AE subtypes. …”
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Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study by Michael S Deiner, Russell Y Deiner, Cherie Fathy, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thomas J Bukowski, Thuy Doan, Gerami D Seitzman, Thomas M Lietman, Travis C Porco

“…Despite some discrepancies, the LLMs demonstrated a reliable capacity for nuanced epidemiological analysis across various data sources and compared to humans or between LLMs. …”
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Determining the probability of spondyloarthritis in patients with uveitis by A. A. Godzenko, I. Yu. Razumova, S. I. Glukhova

“…The probability of SpA depends on the clinical features of uveitis.The aim – to develop a prognostic formula for determining the probability of spondyloarthritis in patients with uveitisMethods. 208 patients (pts) (79 men and 129 women) with different forms of uveitis, referred by ophthalmologists to the V.A. …”
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Population Structure, Morphology, and Health Assessment of Philippine Swamp Buffalo (<i>Bubalus kerabau,</i> Fitzinger, 1860) in Calayan Island, Cagayan by Lilian P. Villamor, Aivhie Jhoy E. Cuanang, Therese Patricka C. Cailipan, Alexander M. Paraguas, Ester B. Flores, Marvin A. Villanueva, Michelle M. Balbin, Lawrence P. Belotindos, Franklin T. Rellin

“…In total, 35 fresh blood samples were analyzed using 27 polymorphic microsatellite markers to determine the population structure analysis. Data were gathered for the morphological features of Calayan swamp buffaloes and served as the baseline information for the descriptive traits. …”
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Comparison of Diffuse Reflectance and Diffuse Transmittance Vis/NIR Spectroscopy for Assessing Soluble Solids Content in Kiwifruit Coupled with Chemometrics by Yu Xia, Wei Zhang, Tianci Che, Jinghao Hu, Shangqiao Cao, Wenbo Liu, Jie Kang, Wei Tang, Hongbo Li

“…The performance of two spectral acquisition methods—diffuse reflectance and diffuse transmission—in detecting SSC in kiwifruit was compared. Various preprocessing methods and feature wavelength selection techniques were employed, and regression models were constructed using partial least squares (PLS) analysis. …”
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Optimized Design and Deep Vision-Based Operation Control of a Multi-Functional Robotic Gripper for an Automatic Loading System by Yaohui Wang, Sheng Guo, Jinliang Zhang, Hongbo Ding, Bo Zhang, Ao Cao, Xiaohu Sun, Guangxin Zhang, Shihe Tian, Yongxu Chen, Jixuan Ma, Guangrong Chen

“…Methodologically, we first developed three gripper prototypes, selecting the optimal design (30° angle between the gripper and container side) through workspace and interference analysis. A deep vision-based recognition system, enhanced by an improved YOLOv5 algorithm and multi-feature fusion, was employed for real-time object detection and pose estimation. …”
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Infrared Thermography for Non-Destructive Testing of Cooling Hole Integrity and Flow Evaluation in Specimens Made with Innovative Technologies by Ester D’Accardi, Luca Ammannato, Alessandra Giannasi, Marco Pieri, Giuseppe Masciopinto, Francesco Ancona, Giovanni Santonicola, Davide Palumbo, Umberto Galietti

“…The comparison of results, the post-processing analysis of quantitative indices, and specific thermal features enabled a non-destructive evaluation of the holes by using different technologies, providing an assessment of the opening conditions, outlet, geometry, and flow shape.…”
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Novel and legacy per- and polyfluoroalkyl substances in humans: Long-term temporal variability and metabolic perturbations by Che-Jung Chang, Anna S. Young, Alexander Keil, Catherine E. Mullins, Donghai Liang, Shanshan Zhao, Dean P. Jones, Xin Hu, Douglas I. Walker, Alexandra J. White

“…We detected 24 legacy PFAS via the targeted approach and 1,802 features annotated as potential PFAS via the untargeted approach (21 confirmed by reference standards). …”
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Cinical, morphological and functional comparisons in acute period of ischemic hemispheric stroke by A. A. Kuznetsov

“…Objectives of investigation: Detection and specification of electroencephalography violations in acute period of ischemic supratentorial stroke in aspect of lateralization of lesion focus and its influence on contralateral hemisphere; comparative analysis of EEG-pattern with morphological criterions of the lesion focus (based on computed tomography data) and clinical structure in patients with acute period of ischemic supratentorial stroke according to stroke lateralization; estimation of diagnostic and prognostic criteria of stroke course based on the results of indicated investigations according to lateralization of necrobiotic lesion focus. …”
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An Open-Frame Loading Stage for High-Resolution X-Ray CT by David Plappert, Michael Schütz, Georg C. Ganzenmüller, Frank Fischer, Mario Campos, Simon Procz, Michael Fiederle, Stefan Hiermaier

“…The experimental results of a fibre-reinforced polymer demonstrate the system’s ability to detect matrix damage features below a single fibre diameter, thereby highlighting its potential for applications in materials science where traditional laboratory CTs are insufficient and synchrotron access is limited.…”
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Integrating artificial intelligence and optogenetics for Parkinson’s disease diagnosis and therapeutics in male mice by Bobae Hyeon, Jaehyun Shin, Jae-Hun Lee, Woori Kim, Jea Kwon, Heeyoung Lee, Dae-gun Kim, Choong Yeon Kim, Sian Choi, Jae-Woong Jeong, Kwang-Soo Kim, C. Justin Lee, Daesoo Kim, Won Do Heo

“…Employing an explainable AI technique, we identified a comprehensive array of PD behavioural markers, encompassing gait and spectro-temporal features. Moreover, our AI-driven analysis highlights that optoRET effectively alleviates PD progression by improving limb coordination and locomotion and reducing chest tremor. …”
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Applications of gene pair methods in clinical research: advancing precision medicine by Changchun Wu, Xueqin Xie, Xin Yang, Mengze Du, Hao Lin, Jian Huang

“…Effectively mining these large-scale, high-dimensional data is crucial for facilitating disease detection, subtype differentiation, and understanding the molecular mechanisms underlying disease progression. …”
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Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm by Faris Kateb, Mahmoud Ragab, Felwa Abukhodair, Omar Ahmed Abdulkader, Louai A. Maghrabi, Sami Saeed Binyamin, Mohammed Khaled Al-Hanawi

“…The bacterial foraging optimization algorithm (BFOA) method is used for feature extraction. Moreover, a convolutional neural network with long short-term memory (CNN-LSTM-Attention) technique is used for disease detection and classification. …”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…MethodsWe analyzed mumps incidence in Yunnan Province from 2014 to 2023, and used time series data, including mumps incidence, Baidu search index, and environmental factors, from 2016 to 2023, to develop predictive models based on long short-term memory networks. Feature selection was conducted using Pearson correlation analysis, and lag correlations were explored through a distributed nonlinear lag model (DNLM). …”
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Autobiographical memory in Alzheimer’s disease: a systematic review by Chiara Stramba-Badiale, Fabio Frisone, Fabio Frisone, Fabio Frisone, Fabio Frisone, Diana Biondi, Giuseppe Riva, Giuseppe Riva

“…IntroductionAutobiographical memory impairment is a significant feature of Alzheimer’s disease (AD), affecting patients’ ability to recall personal life events and maintain their sense of self. …”
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SyncGenie: A programmable event synchronization device for neuroscience research by Ludvik Alkhoury, Giacomo Scanavini, Petras Swissler, Sudhin A. Shah, Disha Gupta, N. Jeremy Hill

“…Additionally, SyncGenie features a user-friendly interface that allows for experiment-specific adjustments without requiring coding expertise. …”
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A New Shock in the Premerging Cluster Pair 1E2215-2216 by Yanling Chen, Liyi Gu, Aurora Simionescu, Chunyang Jiang, Rui Huang, Wei Cui

“…Recent XMM-Newton observations of the southern region of the cluster pair have increased the total exposure time to approximately 300 ks, enhancing the sensitivity to detect faint shock features in the cluster outskirts. …”
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