Mapping gene associations in human mitochondria using clinical disease phenotypes. by Curt Scharfe, Henry Horng-Shing Lu, Jutta K Neuenburg, Edward A Allen, Guan-Cheng Li, Thomas Klopstock, Tina M Cowan, Gregory M Enns, Ronald W Davis

“…This classification of phenotypic features of each gene allowed for the comparison of diseases between different genes. …”
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Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome by Yifei He, Yoonmi Hong, Ye Wu

“…Except for tracking algorithms, different fiber filtering methods, along with the various biological features themselves, displayed more variable patterns of laterality change. …”
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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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Pertussis clinical profile shift, severity, prediction in a tertiary hospital: A comparative study before, during, and after COVID-19 in Southern China by Shufeng Tian, Yulan Chen, Qiru Su, Biao Sun, Zengrui Lin, Yuchun Long, Hongmei Wang, Cuijuan Liao, Ying Zhang, Jinjun Zheng, Lvjun Chen, Song Guan, Sen Wang, Xinlei Xu, Jingwen Ai, Wenhong Zhang, Jikui Deng

“…Analysis included changes in demographic and clinical features, indicators of severe cases, and resistance patterns over the study period. …”
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How are cantonese sentence-final particles phonologically and semantically processed in the mind? by Lu Aitao, Wang Xuebin, Zhang Ye, Liu Siyi, Huang Xin, Jiang Lilan

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The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms by Hongxia Yan, Yixin Tan, Fan Qiao, Zhuotong Zeng, Yaqian Shi, Xueqin Zhang, Lu Li, Ting Zeng, Yi Zhan, Ruixuan You, Xinglan He, Rong Xiao, Xiangning Qiu

“…The patients were divided into the training cohort and the validation cohort based on the order of their enrollment. Key clinical features were selected using recursive feature elimination (RFE). …”
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Validation of a hypomorphic variant in CDK13 as the cause of CHDFIDD with autosomal recessive inheritance through determination of an episignature by Jan Fischer, Mariëlle Alders, Marcel M. A. M. Mannens, David Genevieve, Karl Hackmann, Evelin Schröck, Bekim Sadikovic, Joseph Porrmann

“…Abstract Autosomal dominant CDK13-related disease is characterized by congenital heart defects, dysmorphic facial features, and intellectual developmental disorder (CHDFIDD). …”
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A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning by Dennis Zanutto, Christos Michalopoulos, Georgios-Alexandros Chatzistefanou, Lydia Vamvakeridou-Lyroudia, Lydia Tsiami, Konstantinos Glynis, Panagiotis Samartzis, Luca Hermes, Fabian Hinder, Jonas Vaquet, Valerie Vaquet, Demetrios Eliades, Marios Polycarpou, Phoebe Koundouri, Barbara Hammer, Dragan Savić

“…The water demand trajectory over a week exhibits complex overlapping patterns and non-linear dependencies to multiple features and time-dependent events that a single model cannot accurately predict. …”
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Science of science by S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, A. Vespignani, L. Waltman, D. Wang, A.-L. Barabási

“…The science of science uses large-scale data on the production of science to search for universal and domainspecific patterns. Here, we review recent developments in this transdisciplinary field.…”
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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

“…However, the degradation data of WTs exhibit complex patterns and are often interfered with by noise, making it challenging to extract meaningful features from the data. …”
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A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting by Shiwei Xu, Yongjun Wang, Xinglei Xu, Guang Shi, He Huang, Yingya Zheng

“…Furthermore, a fusion attention mechanism with asymmetric query-key-value matrices is introduced to dynamically fuse historical wind power temporal patterns with refined NWP features, optimizing prediction outcomes. …”
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Clinical and pathological analysis of primary well-differentiated neuroendocrine tumors in the kidney- a case series by Dan Yuan, Jing Wu, Dong-Yue Wang, Jin-Jing Wang

“…Abstract Objective To investigate the clinicopathological characteristics and key diagnostic/therapeutic features of primary well-differentiated neuroendocrine tumors (WDNET) of the kidney. …”
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De l’hypothese de Sapir-Whorf au prototype : sources et genese de la theorie d’Eleanor Rosch. by Jean-Michel Fortis

“…This paper deals with the origins of the theory of categorization developed by Eleanor Rosch in the 1970s. It is divided into two parts. …”
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Construction and Evaluation of a Domain-Related Risk Model for Prognosis Prediction in Colorectal Cancer by Xiangjun Cui, Yongqiang Xing, Guoqing Liu, Hongyu Zhao, Zhenhua Yang

“…Validation confirmed their prognostic value, with significant differences in survival, clinical features, immune patterns, and immunotherapy responses between the high- and low-risk groups. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…They can also vary from person to person, which makes it harder to extract features and understand the signals. Additionally, this variability, influenced by genetic and cognitive factors, presents challenges for developing subject-independent solutions. …”
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Exploiting β‐Lactams‐Induced Lysis and DNA Fragmentation for Rapid Molecular Antimicrobial Susceptibility Testing of Neisseria Gonorrhoeae via Dual‐Digital PCR by Jiumei Hu, Liben Chen, Pengfei Zhang, Fan‐En Chen, Hui Li, Kuangwen Hsieh, Sixuan Li, Johan H. Melendez, Tza‐Huei Wang

“…Neisseria gonorrhoeae (N. gonorrhoeae), in particular, has developed resistance to all currently available antimicrobials. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…Furthermore, fusion models such as CapsNet, EffcientNetV2, and MobileNet-V3 Large are employed for the feature extraction. The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
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Modelling the species-area relationship using extreme value theory by Luís Borda-de-Água, M. Manuela Neves, Luise Quoss, Stephen P. Hubbell, Filipe S. Dias, Henrique M. Pereira

“…Despite its significance, the theoretical foundations of this pattern remain incompletely understood. Here, we develop a theory for the species-area relationship using extreme value theory, and show that the species-area relationship is a mixture of the distributions of minimum distances to a starting sampling focal point for each individual species. …”
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Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…Yet, predicting the correct sentiment difference in customer feedback is challenging due to complicated logic, sequence length, and text pattern adjustments. This article focuses on designing and developing Enhanced NLP with Data-driven Product Reviews Classification using the improved chaotic fruit fly optimization (ENLPPR-ICFFO) method. …”
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Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…These SA-PA signals exhibit distinct characteristics, including dependence of intensity on the source depths and symmetry in far-field angular patterns. Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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