Analysis of emergency air medical services over 9 years in the Penghu archipelago of Taiwan by Meng-Yu Wu, Chia-Jung Li, Yueh-Tseng Hou, Yu-Long Chen, Fung-Wei Chang, Giou-Teng Yiang

“…This article analyzes dynamic changes in the disease patterns of transferred patients in both EAMS groups, providing a strong foundation for developing local medical systems.…”
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Case Report: Coexistence of Rosai-Dorfman disease and B-cell acute lymphoblastic leukemia in an adolescent by Alireza Jenabzadeh, Fariba Binesh, Amir Pasha Amel Shahbaz, Samin Alavi

“…In this report, we analyze the distinct clinical features and disease progression of both conditions and offer an extensive review of relevant literature.…”
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Year-Round Acoustic Presence of Beaked Whales (Ziphiidae) Far Offshore off Australia’s Northwest Shelf by Evgenii Sidenko, Iain Parnum, Alexander Gavrilov, Robert McCauley, Christine Erbe

“…An automatic detection routine for beaked whale clicks was developed, tested, and run on these recordings. The detection workflow included: (1) the extraction of impulsive signals from passive acoustic recordings based on an auto-regression model, (2) the calculation of a set of features of extracted signals, and (3) binary signal classification based on these features. …”
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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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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…The core objective of this work is to develop a hybrid model that combines interpretable handcrafted linguistic cues with deep semantic features for more accurate, robust, and accurate fake review detection. …”
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Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

“…In addition, the authors propose to analyze correlations between information features instead of the features themselves. To reduce the influence of data drift, the authors suggest using adaptive learning with a teacher and reinforcement, which helps to work even with small and unrepresentative data samples. …”
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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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Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research by Jaehyuk Lee, Kimyung Kim, Youngchae Cho, Hyeongdong Kim

“…Results: By comprehensively reviewing the consistencies and differences in the study outcomes, we emphasize the need to segment the gait cycle into specific phases (e.g., weight acceptance, push-off, foot clearance, and leg deceleration) during the treatment process of gait rehabilitation and to develop rehabilitation protocols aimed at restoring normal synergy patterns in each gait phase and fractionating reduced synergies. …”
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Amplification of select autonomous HERV loci and surrounding host gene transcription in monocytes from patients with post-acute sequelae of COVID-19 by Hyunmin Koo, Casey D. Morrow

“…The identification of these HERV-host gene patterns provides a foundation needed to understand the clinical features of patients with PASC.…”
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Enhanced automated art curation using supervised modified CNN for art style classification by Weiwei Li

“…To address these challenges, we developed a Modified CNN model capable of distinguishing art styles and movements using features such as color patterns, textures, and compositions. …”
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Emily Brontë’s Wuthering Heights in EFL Classroom: Writing Skills Focus by Rukaiya Akter Mukta, Md. Shahjahan Kabir, Farhana Yeasmin

“…This is because a literary text encompasses various features related to language and linguistics. The exploration and utilization of these features in a language classroom can significantly advance students’ language skills, as literature leaves a lasting impact on their minds. …”
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Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning by Jose Juan de Leon, Cenchuan Zhang, Christos-Spyridon Koulouris, Francesca Medda, Rahul

“…This approach utilizes control flow graphs (CFGs) generated through EtherSolve to capture the semantic features of contract bytecode, enabling the reinforcement learning models to recognize patterns and make more accurate predictions. …”
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Understanding the Impact of Street Environments on Traffic Crash Risk from the Perspective of Aging People: An Interpretable Machine Learning Approach by Ketong Shen, Jian Liu, Xintao Liu

“…Moreover, the contribution of street features differs significantly between age groups, not only in overall trends but also in the spatial patterns of their impact. …”
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Biology and Ecology of <i>Lygus pratensis</i> (Linn, 1758) (Heteroptera: Miridae): Towards the Practical Management of Cropping Landscapes in China by Pengfei Li, Changqing Gou, Hongzu Feng

“…This paper primarily reviews multiple aspects, including its life history and habits, host plants, pheromones, diapause characteristics, migratory dispersal, the relationship between <i>L. pratensis</i> occurrences and environmental factors, chemical control and resistance, sampling surveys and prevention indicators, ecological control, molecular genetic control, and the ecological effects of farmland landscape patterns on <i>L. pratensis</i>. We focus on the outlook for the conservation effectiveness of farmland landscape patterns on the diversity of natural enemies and the developmental direction of the ecological regulation of <i>L. pratensis</i>. …”
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Identification of Pyroptosis-Relevant Signature in Tumor Immune Microenvironment and Prognosis in Skin Cutaneous Melanoma Using Network Analysis by Yun Zhu, Dan Han, Hongjue Duan, Qi Rao, Yike Qian, Qiaoyun Chen, Xiao Du, Huanyu Ni, Siliang Wang

“…Based on our observations, analyzing modification patterns associated with pyroptosis among diverse cancer samples via PPRS is important, which can provide more insights into TIME infiltration features and facilitate immunotherapeutic development as well as prognosis prediction.…”
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Baselining Urban Ecosystems from Sentinel Species: Fitness, Flows, and Sinks by Matteo Convertino, Yuhan Wu, Hui Dong

“…How can the shape of biodiversity inform us about cities’ ecoclimatic fitness and guide their development? Can we use species as the harbingers of climatic extremes? …”
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Comprehensive multi-omics analysis of histone acetylation modulators identifies ASH1L as a novel aggressive marker for osteosarcoma by Chenlie Ni, Qiwen Sun, Haibo Yin

“…Results Two distinct histone acetylation modification patterns were identified, showing significant differences in survival, clinical features, and immune landscape. …”
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Early Hippocampal Synaptic Loss Precedes Neuronal Loss and Associates with Early Behavioural Deficits in Three Distinct Strains of Prion Disease. by Kathryn J Hilton, Colm Cunningham, Richard A Reynolds, V Hugh Perry

“…There are several different strains of prion disease defined by different patterns of tissue vacuolation in the brain and disease time course, but features of neurodegeneration in these strains have not been extensively studied. …”
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Cloud information system «Redactor.Online» for the create of periodic scientific-educational editions by E. V. Golubev, A. G. Marakhtanov, O. Yu. Nasadkina

“…The aim of the research is the development of concepts, models, patterns, architecture of such a system, the choice of software implementation. …”
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Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles by Wasana Yuwattana, Thanit Saeliw, Marlieke Lisanne van Erp, Chayanit Poolcharoen, Songphon Kanlayaprasit, Pon Trairatvorakul, Weerasak Chonchaiya, Valerie W. Hu, Tewarit Sarachana

“…Clustering analyses revealed three distinct subgroups identifiable through both clinical symptoms and gene expression patterns. When ASD were grouped based on clinical features, stronger associations emerged between symptoms and underlying molecular profiles compared to grouping based on gene expression alone. …”
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