From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

“…Finally, automated classification (e) refers to the process of developing a predictive model that assigns input features of data samples to predefined categories or classes using supervised ML. …”
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Freeze-Dried Food in the Diet of Temporary Residents of the Far North by Evgeniy I. Titov, Irina S. Krasnova, Vera I. Ganina, Elena G. Semenova

“…Study objects and methods. The research featured scientific publications on two topics: 1) nutrition and diet of shift workers in the Far North, 2) development of freeze-dried products for long-term storage in extreme conditions. …”
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A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging by Satyam Tiwari, Goutam Jain, Dasharathraj K. Shetty, Manu Sudhi, Jayaraj Mymbilly Balakrishnan, Shreepathy Ranga Bhatta

“…CNNs are particularly adept in automatically identifying complex patterns and features in pictures like X-rays, CT scans, and MRIs. …”
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Reduced sediment load and vegetation restoration leading to clearer water color in the Yellow River: Evidence from 38 years of Landsat observations by Ke Xia, Xintao Li, Taixia Wu, Shudong Wang, Hongzhao Tang, Yingying Yang

“…The results showed that YR’s FUI was generally high (mean FUI: 16.84 ± 1.85), with notable seasonal variation and spatial distribution patterns significantly influenced by dam construction and environmental features. …”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…Their importance resides in their capacity to acquire hierarchical features, which is essential for recognizing complex patterns. …”
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COMPOSITION AND ZOOGEOGRAPHICAL DISTRIBUTION OF MAMMALS OF THE CAUCASUS by A. M. Batchiev

“…The obtained results allow us to identify and clarify the naturally existing in the course of historical development the modern faunal connections, patterns of the Caucasus theriofauna genesis. …”
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Petrogenesis and tectonic evolution of tourmaline- bearing leucogranites, Sikait area, South Eastern Desert of Egypt utilizing mineralogical and bulk rock analysis by Gehad M. Saleh, Mohamed S. Kamar, Farrage M. Khaleal, Mokhles K. Azer, Taher Nasr, El Saeed R. Lasheen

“…They are depleted in ∑REEs (av. 19.1 ppm) and reveal parallel, uniform patterns slightly notable depletion of HREEs in comparison with LREEs. …”
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Targeting SPATS2 in lung adenocarcinoma: implications for prognosis and immune-based therapy by Maorong Teng, Fangtao Yan, Jingping Shang, Xiaohua Sun, Yahui Wang, Jian Shen

“…Methods We integrated transcriptomic data from TCGA, GTEx, and GEO databases to evaluate SPATS2 expression patterns and their associations with clinical features and prognosis in LUAD. …”
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Anoikis in hepatocellular carcinoma: genetic alterations and immune microenvironment insights from single-cell and computational analysis by Bing Zhou, Jialing Zhang, Mingfeng Guo

“…Abstract Background Hepatocellular carcinoma (HCC) is characterized by high heterogeneity, and its molecular features and microenvironment complexity contribute to varied patient prognoses. …”
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Infectious brain abscesses and granulomas: analysis of 110 episodes in adults by Zahra Hesari, Mahboubeh Haddad, Fereshte Sheybani, Farzaneh Khoroushi, Ehsan Keykhosravi, Negar Morovatdar

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Towards an interdisciplinary approach to the study of emotionality in audible speech by L.V. Velichkova, O.V. Kirshinova

“…</strong> Emotionality is one of the most relevant subjects of research at this stage of development in the humanities. Data from areas actively researching emotionality are not integrated into a single mechanism for analyzing spoken language. …”
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Combining Ecological Momentary Assessment and Social Network Analysis to Study Youth Physical Activity and Environmental Influences: Protocol for a Mixed Methods Feasibility Study by Tyler Prochnow, Genevieve F Dunton, Kayla de la Haye, Keshia M Pollack Porter, Chanam Lee

“…Findings will inform the development of more targeted, effective interventions to promote PA among youth. …”
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High-Cycle Fatigue Fracture Behavior and Stress Prediction of Ni-Based Single-Crystal Superalloy with Film Cooling Hole Drilled Using Femtosecond Laser by Zhen Li, Yuanming Xu, Xinling Liu, Changkui Liu, Chunhu Tao

“…The results reveal that high-cycle fatigue cracks originate from corner cracks at pore edges, with the initial propagation displaying smooth crystallographic plane features. Subsequent stages show clear fatigue arc patterns in the propagation zones. …”
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Characterization of immunoreactivity with whole-slide imaging and digital analysis in high-grade serous ovarian cancer by Tiina Jäntti, Satu Luhtala, Johanna Mäenpää, Synnöve Staff

“…Understanding the features of the immune cell populations in the tumor microenvironment is essential for developing personalized treatments and finding predictive biomarkers. …”
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The current state and problems of studying the biological effects of THz irradiation by E. A. Butikova, I. A. Razumov, O. V. Poveshchenko, V. V. Kanygin

“…The review also aims to analyze key patterns of biological eff ts caused by THz and assess the prospects for further research and application of THz in biomedical and biotechnological direction and also features of the experiment organization by research infl   e of THz. …”
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Estimation of Stroke's Motor Function Ability Using Multimodal Biomarkers and the Role of Contralesional Motor Area by Da‐Hye Kim, Gyu Hyun Kwon, Seong‐Whan Lee, Laehyun Kim

“…Local analyses highlighted pronounced disparities in the contralesional motor area (MA) between stroke patients and the HC group, revealing patterns indicative of compensatory mechanisms. Leveraging a multimodal approach incorporating EEG power and network features within the contralesional MA yielded a robust model for motor function estimation, outperforming unimodal models (adjusted R2 0.99, RMSE 0.13). …”
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Multi-Spectral Optimization for Tissue Probing Using Machine Learning by Yarden Tzabari Kelman, Hadas Lupa Yitzhak, Nadav Shabairou, Shahaf Finder, Zeev Zalevsky

“…As differences between normal skin tissue and pigmentation tissue (and even a change in pigmentation development) can be detected by their optical properties, this paper presents a new, potentially noninvasive approach for skin cancer detection. …”
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Expression and prognosis of cellular senescence genes in head and neck squamous cell carcinoma by Chen Feng, Lijuan Zhu, Wei Mao, Pin Dong, Xinwei Chen

“…Material/Methods We analyzed the expression patterns and prognostic values of cellular senescence genes in HNSC from TCGA and GEO. …”
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A novel robust network construction and analysis workflow for mining infant microbiota relationships by Wei Jiang, Yue Zhai, Dongbo Chen, Qinghua Yu

“…Several network-based methods have been developed to analyze the developing patterns of infant microbiota, but evaluating the reliability and effectiveness of these approaches remains a challenge. …”
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Lung and gut microbiota profiling in intensive care unit patients: a prospective pilot study by Antonios Kritikos, Eric Bernasconi, Yangji Choi, Valentin Scherz, Jean-Luc Pagani, Gilbert Greub, Claire Bertelli, Benoit Guery

“…This study aims to assess the longitudinal changes in lung and gut microbiota among mechanically ventilated ICU patients with and without infection and to identify microbial features predictive of clinical outcomes, including the development of ventilator associated pneumonia (VAP). …”
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