Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

“…Studies have proposed using the T-score and patient information as key diagnostic factors. However, these techniques have either been time-consuming or have required separate calculation processes after collecting each parameter. …”
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Dispersion modelling of particulate matter concentrations of sand product plants in a mineral complex by Y. Zehtab Yazdi, N. Mansouri, F. Atabi, H. Aghamohammadi

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Exploring the Psychological and Physiological Insights Through Digital Phenotyping by Analyzing the Discrepancies Between Subjective Insomnia Severity and Activity-Based Objective... by Ji Won Yeom, Hyungju Kim, Seung Pil Pack, Heon-Jeong Lee, Taesu Cheong, Chul-Hyun Cho

“…Trial RegistrationClinical Research Information Service KCT0009175; https://cris.nih.go.kr/cris/search/detailSearch.do?…”
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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…The detection method is applied using geographic information system software. …”
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95-95-95 HIV indicators among children younger than 15 years in South Africa: results from the 2017 national HIV prevalence, incidence, behaviour, and communication survey by Rindidzani E. Magobo, Musawenkosi Mabaso, Sean Jooste, Lesiba Molopa, Inbarani Naidoo, Leickness Simbayi, Khangelani Zuma, Nompumelelo Zungu, Olive Shisana, Sizulu Moyo

“…Age-appropriate structured questionnaires were utilized to gather sociodemographic data, HIV-related knowledge, risk behaviours, and health-related information. Blood samples were collected to test for HIV serology, viral load suppression, and antiretroviral usage. …”
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Loading of CAR‐T cells with magnetic nanoparticles for controlled targeting suppresses inflammatory cytokine release and switches tumor cell death mechanism by Felix Pfister, Lucas R. Carnell, Lisa Löffler, Philipp Boosz, Niels Schaft, Jan Dörrie, René Stein, Malte Lenz, Erdmann Spiecker, Christian M. Huber, Sami Haddadin, Carola Berking, Christoph Alexiou, Christina Janko

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Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China by Deji Wuyun, Liang Sun, Zhongxin Chen, Luís Guilherme Teixeira Crusiol, Jinwei Dong, Nitu Wu, Junwei Bao, Ruiqing Chen, Zheng Sun, Hasituya, Hongwei Zhao

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Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment by Mohammed Abdallah, Ke Zhang, Sudhir Kumar Singh, Mukhtar Jibril Abdi, Ayman M. Elameen, Almutaz A.A. Mohammed, Hussam Eldin Elzain

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Coupling natural-social models can better quantify the interactions in achieving carbon neutrality in China by Tianpeng Wang, Yixiong Lu, Fei Teng, Xiliang Zhang, Xiaoye Zhang, Min Wei, Tongwen Wu, Deying Wang, Jing Sun, Junting Zhong

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The effect of electrically conductive carbon black on properties of the linear low-density polyethylene by O. V. Kropotin, E. A. Rogachev, E. A. Drozdova, A. A. Kalenchuk, E. G. Glukhoverya, O. V. Maliy

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Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review by Maxime Sasseville, Steven Ouellet, Caroline Rhéaume, Malek Sahlia, Vincent Couture, Philippe Després, Jean-Sébastien Paquette, David Darmon, Frédéric Bergeron, Marie-Pierre Gagnon

“…We categorized bias mitigation approaches into four clusters: (1) modifying existing AI models or datasets, (2) sourcing data from electronic health records, (3) developing tools with a “human-in-the-loop” approach, and (4) identifying ethical principles for informed decision-making. Algorithmic preprocessing methods, such as relabeling and reweighing data, along with natural language processing techniques that extract data from unstructured notes, showed the greatest potential for bias mitigation. …”
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Management Models in SMEs, Strategic Tool in Business Management by L. R. Fiallos Ortega, F. F. Esparza Paz, A. G. Castelo Salazar

“…Therefore, given the current economic dynamics of high competition, globalization of markets, and use of information and communication technologies, business managers need to use different tools such as management models to achieve acceptable levels of utility, profitability, customer satisfaction and permanence in the consumer market. …”
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The analysis of losses in protected and non-insulated wires in stationary modes, taking into account weather conditions by E. V. Petrova, S. S. Girshin, V. A. Krivolapov, K. V. Khatsevskiy, V. N. Goryunov, V. M. Trotsenko

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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study by Xiaojuan Xiong, Hong Fu, Bo Xu, Wang Wei, Mi Zhou, Peng Hu, Yunqin Ren, Qingxiang Mao

“…Data from 10,023 Medical Information Mart for Intensive Care patients were divided into training (70%) and test (30%) sets, with 3212 patients from 3 other centers used for external validation. …”
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Impacts of drought on respiratory mortality in the upper midwest United States: a population subgroup assessment by Yeongjin Gwon, Yuanyuan Ji, Jesse D Berman, Azar M Abadi, Ronald D Leeper, Jared Rennie, Jesse E Bell

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Comparison of analgesic efficacy of diclofenac suppository with intramuscular diclofenac sodium in post-operative pain relief after cesarean delivery in the first 24 hours by Sidra Khan, Noreen Majeed, Ruqya, Mehreen Mehdi, Faiza Safdar, Saana Bibj

“…Total of 100  antenatal women already planned for elective caesarean section ,who fulfilled inclusion criteria were selected after taking  informed consent & ethical approval by employing non probability consecutive sampling . …”
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The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester-A primary cohort study with a scoping review. by Laura Ormesher, Jessica Catchpole, Linda Peacock, Heather Pitt, Anastasia Fabian-Hunt, Dexter Hayes, Claudia Popp, Jason M Carson, Raoul van Loon, Lynne Warrander, Karli Büchling, Alexander E P Heazell

“…Regression analyses (adjusted for time) compared variables between positions. The information derived from the primary study was used in an existing mathematical model of maternal circulation in pregnancy, to determine whether occlusion of the inferior vena cava could account for the observed effects. …”
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Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases by Nonoka Suzuki, Kaname Kojima, Silvia Malvica, Kenshi Yamasaki, Yoichiro Chikamatsu, Yuji Oe, Tasuku Nagasawa, Ekyu Kondo, Satoru Sanada, Setsuya Aiba, Hiroshi Sato, Mariko Miyazaki, Sadayoshi Ito, Mitsuhiro Sato, Tetsuhiro Tanaka, Kengo Kinoshita, Yoshihide Asano, Avi Z. Rosenberg, Koji Okamoto, Kosuke Shido

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Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

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Безпосередні та віддалені результати модифікованої операції Росса by O. M. Romaniuk

“…Для статистичного опрацювання даних проведено регресійно-кореляційний аналіз, прогностичне моделювання за допомогою покрокової бінарної логістичної регресії, ROC-аналіз, t-test, information value (IV)-тест. Результати. Госпітальна летальність становила 2,2 %, загальна летальність – 3,2 %, показник виживання становив: за 1 рік – 100 %, за 10 років – 98,6 % (95 % довірчий інтервал (ДІ) 97,2–100), за 20 років – 97,8 % (95 % ДІ 95,8–99,7). …”
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