Toxoplasma gondii seropositivity and cognitive functioning in older adults: an analysis of cross-sectional data of the National Health and Nutrition Examination Survey 2011–2014 by Meng Li, Chao Yang, Qingxia Zhao, Zeyu Zhang, Ge Song, Zhe Qu, Xuechun Lin, Hongyu Chen, Weixia Ma, Courtney Rose Standlee

“…Adjusted linear regression showed that compared with participants with negative Toxoplasma gondii infection, those with positive Toxoplasma gondii infection had lower CERAD-WL immediate memory (beta (β) −0.16, 95% CI −0.25 to –0.07), CERAD-WL delayed memory (β −0.15, 95% CI −0.24 to –0.06), AFT (β −0.15, 95% CI −0.24 to –0.06), DSST (β −0.34, 95% CI −0.43 to –0.26), and global cognition (β −0.24, 95% CI −0.32 to –0.16) z-scores after controlling for the covariates.Conclusions Toxoplasma gondii seropositivity is associated with worse immediate and delayed verbal learning, language proficiency, executive functioning, processing speed, sustained attention, working memory, as well as global cognition in older adults. …”
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Deep Neural Network-Based Video Processing to Obtain Dual-Task Upper-Extremity Motor Performance Toward Assessment of Cognitive and Motor Function by Zilong Liu, Changhong Wang, Guanzheng Liu, Bijan Najafi

“…Then, the DTUEMP metrics (the mean and SD of flexion and extension phase) were derived from angle sequences. Multi-task learning (MTL) was used to assess cognitive and motor function represented by MMSE and TUG scores based on DTUEMP metrics, with single-task learning (STL) linear model as a benchmark. …”
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Acceptance of Anxiety through Art Therapy: A Case Report Exploring How Anthroposophic Art Therapy Addresses Emotion Regulation and Executive Functioning by A. C. Abbing, E. W. Baars, O. Van Haastrecht, A. S. Ponstein

“…The course of treatment suggests that aspects of emotion regulation and executive functioning were addressed through implicit learning processes in different art therapy assignments.…”
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Clinical and Preclinical Cognitive Function Improvement after Oral Treatment of a Botanical Composition Composed of Extracts from Scutellaria baicalensis and Acacia catechu by Mesfin Yimam, Bruce P. Burnett, Lidia Brownell, Qi Jia

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Transcriptional and post-transcriptional regulation of CARMN and its anti-tumor function in cervical cancer through autophagic flux blockade and MAPK cascade inhibition by Xing Zhang, Wenjing Yan, Hua Jin, Bingjia Yu, Hao Zhang, Bo Ding, Xue Chen, Yan Zhang, Qianqian Xia, Dan Meng, Jing Hu, Haohan Liu, Yamei Nie, Fengying Liu, Yun Zheng, Yiran Lu, Juan Wang, Mulong Du, Meilin Wang, Evan Yi-Wen Yu, Xiuting Li, Shizhi Wang

“…Analysis using ten machine learning models confirmed its critical role in this progression. …”
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An extrinsic random-based ensemble approach for android malware detection by Nektaria Potha, V. Kouliaridis, G. Kambourakis

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Longitudinal analysis of coal workers’ pneumoconiosis using enhanced resolution-computed tomography images: unveiling patterns in lung structure, function, and clinical correlation... by Ngan-Khanh Chau, Ngan-Khanh Chau, Eun-Kee Park, Sanghun Choi

“…Inspiratory qCT images were enhanced using a deep learning-based super-resolution model and then processed to extract lung functional and airway structural metrics. …”
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Different prefrontal cortex activity patterns in bipolar and unipolar depression during verbal fluency tasks based on functional near infrared spectroscopy study by Lan Mou, Yuqi Shen, Boyuan Wu, Chengyu Zhang, Jiayun Zhu, Qian Tan, Xiaomei Zhang, Zefeng Wang, Zhongxia Shen

“…Abstract This study aimed to investigate the functionality of the prefrontal cortex in patients with unipolar depression (UD) and bipolar depression (BD) using functional near-infrared spectroscopy (fNIRS) during a verbal fluency task (VFT). …”
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Artificial intelligence in respiratory care by Manjush Karthika, Jithin K. Sreedharan, Madhuragauri Shevade, Chris Sara Mathew, Santosh Ray

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The Association between IGF-1 Polymorphisms, IGF-1 Serum Levels, and Cognitive Functions in Healthy Adults: The Amsterdam Growth and Health Longitudinal Study by Carmilla M. M. Licht, Lise C. van Turenhout, Jan Berend Deijen, Lando L. J. Koppes, Willem van Mechelen, Jos W. R. Twisk, Madeleine L. Drent

“…IGF-1 levels have been associated with cognitive functioning in older persons and growth hormone deficient patients. …”
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TableBorderNet: A Table Border Extraction Network Considering Topological Regularity by Jing Yang, Shengqiang Zhou, Xialing Li, Yuchun Huang, Honglin Jiang

“…To ensure topological consistency in complex or degraded inputs, a topology-aware loss function is introduced, which explicitly penalizes structural discontinuities during training. …”
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Association between lower geriatric nutritional risk index and low cognitive functions in United States older adults: a cross-sectional study by Jiuling Liu, Melysze Deanne Oorloff, Adithya Nadella, Ning Zhou, Min Ye, Yifeng Tang, Yuanwei Wang

“…The GNRI served as a tool for evaluating the nutritional status of participants, who were categorized into two groups based on their initial GNRI scores: those with scores >98 indicating normal nutrition, and those with scores ≤98 indicating malnutrition. Cognitive function was assessed using the Consortium to Establish a Registry for Alzheimer’s disease word list learning test (CERAD W-L), the Digit Symbol Substitution Test (DSST), the Animal Fluency Test (AFT), and the composite-z score which was calculated by summing the z scores of individual tests, respectively. …”
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A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges by Yangmei Xie, Liuyi Yang, Miao Zhang, Sinan Chen, Jialong Li

“…It showcases the main technologies, such as speech recognition, computer vision, and haptic feedback, that enable the visitors and learning portals to exchange data fluidly. In addition, we investigate the function of multimodal learning analytics in order to measure the cognitive and emotional states of students, targeting personalized feedback and refining instructional strategies. …”
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DTI-RME: a robust and multi-kernel ensemble approach for drug-target interaction prediction by Yuqing Qian, Xin Zhang, Yizheng Wang, Quan Zou, Chen Cao, Yijie Ding, Xiaoyi Guo

“…DTI-RME uses ensemble learning to assume and learn multiple structures, including the drug-target pair, drug, target, and low-rank structures. …”
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A bibliometric review on in silico drug repurposing: Performance analysis, science mapping and text mining (2000–2023) by Alejandro I. Trejo-Castro, Emmanuel Martinez-Ledesma, Antonio Martinez-Torteya

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Random forest algorithm integrated with an initial basic feasible solution in buckling analysis of a two-dimensional functionally graded porous taper beam by Ravikiran Chinthalapudi, Jagadesh Kumar Jatavallabhula, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…This study explores the buckling behavior of two-dimensional functionally graded porous taper beam, which are increasingly used in aerospace, civil, and mechanical engineering applications where structural stability, weight optimization, and material adaptability are essential. …”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…Manifold learning is an important technique for dimensionality reduction in hyperspectral images. …”
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From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline by Jonas Rheiner, Daniel Kerger, Matthias Drüppel

“…For this we calculate accuracy as a function of validation set size, and thus ensure sufficient data is allocated for evaluation. …”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Keywords: computer-aided diagnosis, deep learning, object detection, RetinaNet, transfer learning…”
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Classification of Nitrogen-Efficient Wheat Varieties Based on UAV Hyperspectral Remote Sensing by Yumeng Li, Chunying Wang, Junke Zhu, Qinglong Wang, Ping Liu

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