Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…Human skeleton-based action recognition is an important task in the field of computer vision. In recent years, masked autoencoder (MAE) has been used in various fields due to its powerful self-supervised learning ability and has achieved good results in masked data reconstruction tasks. …”
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A clustering-metaheuristic-simulation approach to determine air taxi operating site location by Varshini Priyaa Senthilnathan, Mohanapriya Singaravelu, Suchithra Rajendran, Sharan Srinivas

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Physical Activity Participation Levels and Contribution to the Wellbeing of Students of Ndorwa Secondary School in Kabale Municipality. by Mabuye, Safi

“…Data was entered into the computer and analyzed by developing themes (headings) or subthemes that were derived from the study objectives. …”
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AppCraft: Model-Driven Development Framework for Mobile Applications by Lyan Alwakeel, Kevin Lano, Hessa Alfraihi

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Ultrasound investigation in estimation of vascular invasion and morphological verification of pancreatic tumors by S. O. Stepanov, N. A. Rubtsova, D. V. Sidorov, L. O. Petrov, L. A. Mitina, V. I. Kazakevich, Ye. N. Slavnova, E. V. Prozorova

“…Potential of US in morphological verification and assessment of vascular invasion of PT is demonstrated by the clinical case example, that has allowed to carry out radical surgical treatment to the patient.…”
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Rural-urban disparities and socioeconomic determinants of caesarean delivery rates in Zimbabwe: Evidence from the 2019 National Multiple Indicator Cluster Survey by G N Musuka, G Murewanhema, H Herrera, E Mbunge, R Birri-Makota, T Dzinamarira, D Cuadros, I Chingombe, A Mpofu, M Mapingure

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The Effect of Parents’ Socio-Economic Status on Girl Child Dropout in Selected Primary Schools in Ntungamo Municipality by Annah, Turinawe

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Optimizing Operating Room Efficiency for Primary Hip and Knee Arthroplasty Using Performance Benchmarks by Koorosh Kashanian, BMSc, Matey Juric, BSc, Tim Ramsay, PhD, Pascal Fallavollita, PhD, Paul E. Beaulé, MD, FAAOS, FRCSC

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Diagnostic ultrasound enhances, then reduces, exogenously induced brain activity of mice by Henry Tan, Devon J. Griggs, Devon J. Griggs, Lucas Chen, Kahte Adele Culevski, Kathryn Floerchinger, Alissa Phutirat, Gabe Koh, Nels Schimek, Pierre D. Mourad, Pierre D. Mourad

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Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method by Robert Stewart, Hitesh Shetty, Matthew Broadbent, Angus Roberts, Rashmi Patel, Philip McGuire, Richard D Hayes, Nishamali Jayatilleke, Genevieve Gorrell, Chin-Kuo Chang, Richard Jackson, Nadia Foskett, Caroline Johnston

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Budgetary Factors and the Quality of Education Service Delivery in Public Secondary Schools in Northern Division Kabale District. by Atwongyeire, Redeemer

“…The study used a descriptive research design combined with a case study design because it enabled the researcher to meet the objectives of the study. …”
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Pemodelan Simulasi Sistem Dinamik untuk Meningkatkan Jumlah Pendapatan Unit Rawat Inap Rumah Sakit Islam Surabaya A.Yani by Anwar Romadhon, Erma Suryani

“…The results showed that by changing the payment system from Fee For Services to INA - Case Base Groups can provide more benefits for hospital, this is because the rates set adjust to hospital rates throughout Indonesia. …”
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ECG heartbeat classification using progressive moving average transform by Rabah Mokhtari, Samir Brahim Belhouari, Khelil Kassoul, Abderraouf Hocini

“…Abstract This paper presents the Progressive Moving Average Transform (PMAT), a novel signal transformation method for converting time-domain signals into 2D representations by progressively computing Moving Averages (MAs) with varying window sizes. …”
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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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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…Abstract Diabetic Foot Ulcer (DFU) is a severe complication of diabetes mellitus, resulting in significant health and socio-economic challenges for the diagnosed individual. Severe cases of DFU can lead to lower limb amputation in diabetic patients, making their diagnosis a complex and costly process that poses challenges for medical professionals. …”
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Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis by Fernando Moncada Martins, Víctor M González, José R Villar, Beatriz García López, Ana Isabel Gómez-Menéndez

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Spi-VSTL: Image data collection platform using off-the shelf hardware for vertically supported crops in state-of-the-art glasshouses by Namal Jayasuriya, Malith Weerasekara, Oula Ghannoum, Yi Guo, Wen Hu

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Using ChatGPT for medical education: the technical perspective by Kwan Yin Chan, Tsz Hon Yuen, Michael Co

“…Moreover, by exchanging patients cases, 82.2% of students agreed that it helps to gain more experiences with diseases that may not be prevalent in their own locality. …”
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Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications by Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya

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Greedy algorithms: a review and open problems by Andrea García

“…Abstract Greedy algorithms are a fundamental class of mathematics and computer science algorithms, defined by their iterative approach of making locally optimal decisions to approximate global optima. …”
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