Detection of antibodies associated with anti-phospholipid syndrome in patients with syphilis by N. K. Levchik, N. V. Zilberberg, M. V. Ponomareva

“…Little is known about the behavior of antibodies associated with anti-phospholipid syndrome in syphilis. To investigate the patterns of antibodies associated with anti-phospholipid syndrome production in syphilitic infection. …”
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Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data by Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim

“…Results We identified three PD severity subtypes, each exhibiting different patterns of clinical severity, with the severity increasing as it progressed from clusters 1 to 3. …”
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Early detection of risky spatio-temporal congestion in urban traffic by Shaobo Sui, Dan Xu, Mingyang Bai, Xiaoke Zhang, Zhaojun Mao, Daqing Li

“…However, large-scale congestion in city exhibits an unique spatio-temporal growth pattern. In this article, we develop a detection method for risky congestion based on its spatio-temporal evolution feature, which can detect risky spatio-temporal congestion clusters (SCCs) when they are small. …”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Then, we applied wavelet transform (WT) to capture the time-frequency characteristics of the signals and extract energy features and created a feature set comprising 30 features and selected 10 most relevant ones using the “SelectKBest” function.We compared six algorithms, optimized their parameters, and evaluated the stability and fitting performance of each algorithm. …”
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Foetal cortical expansion is associated with neurodevelopmental outcome at 2-years in congenital heart disease: a longitudinal follow-up studyResearch in context by Siân Wilson, Hyuk Jin Yun, Anjali Sadhwani, Henry A. Feldman, Seungyoon Jeong, Nicholas Hart, Kaysi Herrera Pujols, Jane W. Newburger, P. Ellen Grant, Caitlin K. Rollins, Kiho Im

“…Findings: Differences in cortical development between CHD and Control foetuses only emerged after 30 GW, and lower regional cortical surface area growth was correlated with poorer neurodevelopmental outcomes at two years of age in the CHD group. …”
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Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates by Lin Meng, Deyu Wang, Jun Ma, Yu Shi, Hongbo Zhao, Yanlin Wang, Qingqing Shi, Xiaodong Zhu, Dong Ming

“…Conclusions: This study presents a novel framework for differentiating PD motor subtypes and emphasizes dynamic brain network features as potential markers for understanding motor symptom variability in PD, which may contribute to the development of personalized treatment strategies.Trial registration: ChiCTR2300067657.…”
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Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

“…We construct an FPGA + CPU heterogeneous detection system featuring a five-tuple segmented matching architecture, which integrates hash bitmap and shift-or algorithms to achieve fast-pattern matching. …”
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Coaches' insights: Determinants of athlete success, physical demands and training approaches in single-handed Olympic-class dinghy sailing. by Chelsie E Winchcombe, Paul S R Goods, Martyn J Binnie, Peter Peeling

“…Finally, in the topic area of training practices and philosophies there were two general dimensions: i) periodisation, and ii) specific training. Overall, hiking featured across all three topic areas, highlighting its importance in ILCA sailing. …”
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The effect of motivation on movement: a study of bradykinesia in Parkinson's disease. by Tamara Shiner, Ben Seymour, Mkael Symmonds, Peter Dayan, Kailash P Bhatia, Raymond J Dolan

“…<h4>Background</h4>Bradykinesia is a cardinal feature of Parkinson's disease (PD). Despite its disabling impact, the precise cause of this symptom remains elusive. …”
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Feedback control architecture and the bacterial chemotaxis network. by Abdullah Hamadeh, Mark A J Roberts, Elias August, Patrick E McSharry, Philip K Maini, Judith P Armitage, Antonis Papachristodoulou

“…Bacteria move towards favourable and away from toxic environments by changing their swimming pattern. This response is regulated by the chemotaxis signalling pathway, which has an important feature: it uses feedback to 'reset' (adapt) the bacterial sensing ability, which allows the bacteria to sense a range of background environmental changes. …”
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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…Regular appointments and PHCCs showed different attendance patterns than hospitals, while walk-in appointments did. …”
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Classification of hoarding and comorbid neuropsychiatric symptoms by Sara K. Nutley, Catherine W. Striley, Linda B. Cottler, Joseph Eichenbaum, Rachel L. Nosheny, R. Scott Mackin, Carol A. Mathews

“…Conclusions: Neuropsychiatric symptom patterns among individuals with hoarding are heterogenous in nature and uniquely associated with clinical features and functional outcomes. …”
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Enhanced Named Entity Recognition and Event Extraction for Power Grid Outage Scheduling Using a Universal Information Extraction Framework by Wei Tang, Yue Zhang, Xun Mao, Mingqi Shan, Kai Lv, Xun Sun, Zhenhuan Ding

“…Subsequently, a trigger-centric event extraction model is developed through feature learning of outage plan triggers and syntactic pattern entities. …”
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COGNITIVE MODELING OF KNOWLEDGE MANAGEMENT MECHANISMS IN THE TRAINING OF SPECIALISTS by Liubava Chernova, Lyudmyla Chernova

“…The article also considers the possibility of the main provisions of the theory of knowledge management in the educational process, as improving the quality of training is the goal of any educational system. The article develops a cognitive model of the knowledge management mechanism, on the basis of cognitive analysis revealed useful patterns that reflect the influence of factors of different physical nature on the results of training. …”
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Disease burden of biliary tract cancer in 204 countries and territories, 1990–2021: A comprehensive demographic analysis of the Global Burden of Disease Study 2021 by Xuheng Sun, Jiangmei Liu, Wei Zhang, Yijun Wang, Yan Jiang, Lijun Wang, Yixin Zou, Yuxuan Xiao, Yongbing Xiang, Maolan Li, Maigeng Zhou, Yingbin Liu, Sihan Zhou, Xiuyuan Hao

“…We sought to explore the up-to-date data from the Global Burden of Disease Study (GBD) and expand findings by accessing the demographic features of BTC disease burden. Methods:. Using the latest data from the GBD 2021, we evaluated and analyzed the distributions and patterns of BTC disease burden in various age groups, sexes, regions, and countries. …”
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Nonlinear Relationship Between the Elderly’s Perception of Green Spaces and Their Activity Characteristics by Yuanjing WU, Yongyi YOU, Wei ZHOU, Siren LAN

“…Compared to other age groups, the elderly show a higher demand for engaging in activities within green spaces, and their perception of these environments plays a key role in shaping their activity patterns. Understanding how these perceptions influence behavior is crucial for addressing the needs of aging populations in rapidly urbanizing societies. …”
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Cyclin D2 – a potential biomarker in uterine corpus endometrial carcinoma through methylation chip and bioinformatic analysis by Lizhen Wang, Lizhen Wang, Wu Qu, Zhifu Yang

“…TCGA datasets were analyzed to explore differential patterns involving mRNA and DNA methylation features associated with CCND2. …”
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Landscape genetics highlights species-specific ecological influences on gene flow in highland frog populations from northeastern Brazil by José Henrique de Andrade Lima, Marco Katzenberger, Marcelo Gehara, Pedro Ivo Simões

“…We conducted a comparative landscape genetics study to assess the influence of geographic and environmental landscape features on genetic differentiation in two ecologically distinct anurans species: Dendropsophus oliveirai, a diminutive treefrog that uses ponds for reproduction and larval development, and Physalaemus cuvieri, a terrestrial frog that breeds in both ponds and rain pools, depositing eggs in foam nests where embryos develop. …”
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Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convo... by Farman Ali, Raed Alsini, Tamim Alkhalifah, Fahad Alturise, Wajdi Alghamdi, Majdi Khalid

“…Our approach leverages a combination of advanced feature embedding techniques. We extract multi-source protein information from primary sequences, employing FastText for discriminative subword-level patterns and ProtBERT (a protein large language model) for contextualized sequential features. …”
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Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors by Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang

“…Through meticulous finite element analysis optimization, the Hall effect‐based auxetic tactile sensor (HEATS), featuring a rotating square plate configuration as the most effective auxetic pattern to enhance sensitivity, is developed. …”
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