Adopting online flipped teaching to improve learner engagement in an English for specific purposes (ESP) course in China: a mixed-methods study by Li Zhiyong, Wang Yang

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Exploring language learning and corrective feedback in an eTandem project by Tang Jinlan, Qian Kan, Wang Na, Hu Xiaona

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Predicting COVID-19 outbreak in India using modified SIRD model by Sakshi Shringi, Harish Sharma, Pushpa Narayan Rathie, Jagdish Chand Bansal, Atulya Nagar, Daya Lal Suthar

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Monitoring Population Phenology of Asian Citrus Psyllid Using Deep Learning by Maria Bibi, Muhammad Kashif Hanif, Muhammad Umer Sarwar, Muhammad Irfan Khan, Shouket Zaman Khan, Casper Shikali Shivachi, Asad Anees

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Pilot study protocol evaluating the impact of telerobotics interactions with autistic children during a Denver intervention on communication skills using single-case experimental d... by Marie-Christine Picot, Amaria Baghdadli, Cécile Michelon, Carole Fournier, Véronique Granit, Paul Audoyer, Arielle Bernardot, Abderrahmane Kheddar

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Impact of weather parameters on the spread of dengue cases in Dhaka by Md. Humayun Kabir

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Advancing Anaesthetist Rostering Quality: A Practical Approach Toward Fairness and Efficiency by Norizal Abdullah, Masri Ayob, Meng Chun Lam, Nasser R. Sabar, Graham Kendall, Liu Chian Yong

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A real-time forecasting and estimating system of West Nile virus: a case study of the 2023 WNV outbreak in Colorado, USA by Chunlin Yi, Lee W. Cohnstaedt, Caterina M. Scoglio

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Modeling of short-term financial transmission rights in a secondary auction market using game theory by Mohammad Tabrizian, Hosein Seifi, Mohamad Kazem Sheikh-al-Eslami, Hamidreza Shahmirzad

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Mathematical Modeling of Public Opinions: Parameter Estimation, Sensitivity Analysis, and Model Uncertainty Using an Agree-Disagree Opinion Model by Sara Bidah, Omar Zakary, Mostafa Rachik, Hanane Ferjouchia

“…In the first poll, we consider only 31 weeks to estimate the parameters of the model, and then, we compare the rest of the data with the outcome of the model over the remaining 21 weeks. …”
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A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques by Muhammad Sajid Iqbal, Muhammad Adnan, Salah Eldeen Gasim Mohamed, Muhammad Tariq

“…Comparative analysis with state-of-the-art (SOTA) techniques in terms of accuracy and computational cost underscores the superior accuracy of the proposed framework in forecasting both generation and demand. …”
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An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit by Marco Bittelli, Matteo Francia, Joseph Giovanelli, Matteo Golfarelli, Fausto Tomei

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A deep neural network model with GCN and 3D convolutional network for short‐term metro passenger flow forecasting by Xuanrong Zhang, Cheng Wang, Jianwei Chen, Ding Chen

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Can home care work be organized to promote musculoskeletal health for workers? Results from the GoldiCare cluster randomized controlled trial by Fredrik Klæboe Lohne, Marius Steiro Fimland, Javier Palarea-Albaladejo, Svend Erik Mathiassen, Andreas Holtermann, Skender Redzovic

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Pilot study of extended-release lorcaserin for cocaine use disorder among men who have sex with men: A double-blind, placebo-controlled randomized trial. by Glenn-Milo Santos, Janet Ikeda, Phillip Coffin, John E Walker, Tim Matheson, Matthew McLaughlin, Jennifer Jain, Eric Vittinghoff, Steven L Batki

“…Twenty-two of a planned 45 cisgender MSM with CUD were enrolled and had weekly follow-up visits during a 12-week treatment period, with substance use counseling, urine specimen collection, and completion of audio-computer assisted self-interview (ACASI) behavioral risk assessments. …”
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Time series forecasting of bed occupancy in mental health facilities in India using machine learning by G. Avinash, Hariom Pachori, Avinash Sharma, SukhDev Mishra

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Correlation Between Objective Habit Metrics and Objective Medication Adherence: Retrospective Study of 15,818 Participants From Clinical Studies by Antoine Pironet, L Alison Phillips, Bernard Vrijens

“…Further, two objective habit metrics were computed from each participant’s medication intake history: (1) SD of the hour of intake, representing daily variability in the timing of medication intakes, and (2) weekly cross-correlation, representing weekly consistency in the timing of medication intakes. …”
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Improving Diabetes Education and Metabolic Control in Children Using Social Robots: A Randomized Trial by Tareq Alhmiedat, Laila A. AlBishi, Fady Alnajjar, Mohammed Alotaibi, Ashraf M. Marei, Rakan Shalayl

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Internet-based cognitive behavioural therapy for adults with tinnitus in the UK: study protocol for a randomised controlled trial by Peter M Allen, David M Baguley, Gerhard Andersson, Eldré W Beukes, Vinaya Manchaiah

“…A delayed treatment design using a weekly check-in control group will be used. 70 participants will be randomly assigned to each group by an independent researcher by using a computer-generated randomisation schedule, and after being prestratified for age and tinnitus severity. …”
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Cognitive behavioral therapy for pediatric obsessive-compulsive disorder delivered via internet videoconferencing: a manualized sensor-assisted feasibility approach by Carolin S. Klein, Annika K. Alt, Anja Pascher, Jan Kühnhausen, Lennart Seizer, Winfried Ilg, Annika Thierfelder, Jonas Primbs, Michael Menth, Gottfried M. Barth, Caterina Gawrilow, Annette Conzelmann, Tobias J. Renner, Karsten Hollmann

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