Mental disorders in endocrinopathies by N. A. Kosenko, B. D. Tsygankov, V. G. Kosenko, M. I. Ageev, G. T. Krasil'nikov, E. F. Chebagina

“…Outlines the main clinical forms of mental disorders, as well as analyzes the patterns of their clinical dynamics. Marked clinical manifestations caused by a non-specific impact of endocrine dysfunction, as well as the specific features of each individual endocrinopathy. …”
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Genetic disruption of the baculum compromises the ability of male mice to copulate. by Caleb R Ghione, Nicholas G Schultz, Sungdae Park, Douglas B Menke, Matthew D Dean

“…The goal of the current study is to uncover molecular details that could allow selective disruption of the baculum while allowing normal sexual differentiation and skeletal development. We compare patterns of androgen receptor binding and single cell gene expression in the developing penis, forelimbs and hindlimbs of mice. …”
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Decoding Facial Dissymmetry: A Comparative Morphological Study on Human Skulls and Facial Structures by Marc Divaris, MD

“…Facial asymmetry is a constant feature among individuals and is influenced by complex embryological development processes. …”
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Biomarkers in spinal muscular atrophy by Liping Yan, Jinping Zhang, Jian Zheng, Hua Hao

“…With the introduction of disease-modifying therapies in recent years, the role of biomarkers has expanded from aiding diagnosis to monitoring treatment responses, prognostic assessment, and the development of individualized treatment strategies. …”
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The specific character of the contemporary Russian youth policy in the context of problematization of the youth subjectness principle by O. S. Gilyazova

“…The aim of the article is to consider the specific character of youth policy in contemporary Russia by retrospectively analyzing its establishment, its laws and regulations, its theories (types and models) conceptualized depending on youth perception patterns (as a problem or resource), the place and role of youth (as a subject or object). …”
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Mitigating Data Leakage in a WiFi CSI Benchmark for Human Action Recognition by Domonkos Varga

“…Specifically, the benchmark fails to separate individuals between the training and test sets, leading to inflated performance metrics as models inadvertently learn individual-specific features rather than generalizable action patterns. …”
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Overview of the histopathological and immunohistochemical characteristics of neuroendocrine neoplasms by Sonia L. El-Sharkawy, Manal A. Badawi, Wafaa E. Abdelaal, Naglaa F. Abbas

“…Abstract Neuroendocrine neoplasms [NENs] are a group of rare tumors that evolve from neuroendocrine cells and show different morphological patterns and clinical and biological characteristics. …”
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Research on the Local Reconstruction of Intangible Cultural Heritage in Ethnic Tourism Villages: A Case of Miao Silver Ornaments in Xijiang Miao Village by Jin-Bo Jiang, Xi Cai, Hong-Mei Yin

“…Locality is an important foundation of local characteristics and image, encompassing the natural qualities and inherent cultural features of a place. Researching the process and mechanism behind the reconstruction of locality in Miao silver ornament, under the context of tourism development, holds significant importance for the inheritance and protection of intangible cultural heritage. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Fast data analysis based on hidden patterns is one of the main issues for adaptive artificial intelligence systems development. …”
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Spatial Correlation Network Characteristics of Comprehensive Transportation Green Efficiency in China by Qifei Ma, Sujuan Li, Zhenchao Zhang

“…Accurately characterizing the structural features of the spatial correlation network of comprehensive transportation green efficiency (CTGE) is essential for achieving balanced regional transportation development and eliminating regional disparities. …”
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Deep profiling of the novel intermediate-size noncoding RNAs in intraerythrocytic Plasmodium falciparum. by Chunyan Wei, Tengfei Xiao, Peng Zhang, Zhensheng Wang, Xiaowei Chen, Lianhui Zhang, Meixue Yao, Runsheng Chen, Heng Wang

“…In conclusion, we accomplished a deep profiling analysis of novel is-ncRNAs in P. falciparum, analysed the conservation and structural features of these novel is-ncRNAs, and revealed their differential expression patterns during the development of the parasite. …”
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THE IMPACT OF THE AZERBAIJANI LANGUAGE VOCALISM ON BAKU RESIDENTS RUSSIAN PRONUNCIATION: THE BILINGUAL ASPECT by Sanay H. Huseynli

“…The influence is especially noticeable in the patterns of “macaronic” speech. The features of the pronunciation of some vowels in the Russian speech of Baku residents should be characterized taking into account the sociolinguistic features of the speakers. …”
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Finite Mixture of the Hidden Markov Model for Driving Style Analysis by Lusa Ding, Ting Zhu, Yanli Wang, Yajie Zou

“…Analyzing driving style is useful for developing intelligent vehicles. Previous studies usually consider the statistical features (e.g., the means and standard deviations of brake pressure) of the measured driving data or manually define the number of patterns divided by behavior semantics to characterize driving styles. …”
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Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

“…To enhance predictive accuracy, the tool incorporates machine learning classifiers—Naive Bayes (NB), Decision Tree (DT), Random Forest (RF), and Linear Support Vector Machine (LSVM)—trained on various feature combinations, including Abstract Features (AF), Halstead Features (HF), and Semantic Features (SF). …”
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Revealing Depression Through Social Media via Adaptive Gated Cross-Modal Fusion Augmented With Insights From Personality Traits by Gede Aditra Pradnyana, Wiwik Anggraeni, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo

“…DeXMAG effectively combines textual content, visual imagery, and user-level personality traits to capture the heterogeneous and individualized patterns of depressive expression across modalities. …”
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Modeling Visual Fatigue in Remote Tower Air Traffic Controllers: A Multimodal Physiological Data-Based Approach by Ruihan Liang, Weijun Pan, Qinghai Zuo, Chen Zhang, Shenhao Chen, Sheng Chen, Leilei Deng

“…The model achieved an average balanced accuracy of 0.92 and an F1 score of 0.90 under 12-fold cross-validation, demonstrating excellent predictive performance. The high-ranking features spanned four modalities, revealing typical physiological patterns of visual fatigue across ocular behavior, cortical activity, autonomic regulation, and arousal level. …”
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Study on the prehistoric decorated spindle whorls in Haidai region of China by Yuan Tao, Qicai Wang

“…The patterns on the decorated spindle whorls were analyzed and classified, and the characteristics of the patterns in different cultural periods were studied, and based on this, the purpose of making decorated spindle whorls and the function and meanings of the patterns were discussed. …”
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery by Fouad Trad, Bassel Isber, Ryan Yammine, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Rachid Haidar, Ghada El-Hajj Fuleihan, Ali Chehab

“…After modeling, we derived feature importance for each of the two models and decreased the number of features to reach a parsimonious highly performing model. …”
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Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

“…The development of facial expression recognition (FER) and facial expression generation (FEG) systems is essential to enhance human-robot interactions (HRI). …”
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Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis by Maria J. Guerrero, Camilo Sánchez‐Giraldo, César A. Uribe, Víctor M. Martínez‐Arias, Claudia Isaza

“…Abstract Changes in land use and climate change threaten global biodiversity and ecosystems, calling for the urgent development of effective conservation strategies. Recognizing landscape heterogeneity, which refers to the variation in natural features within an area, is crucial for these strategies. …”
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