‘Too male, too pale, too stale’: a qualitative exploration of student experiences of gender bias within medical education by Megan E L Brown, Gabrielle M Finn, George E G Hunt, Ffion Hughes

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Distribution and abundance of Aedes caspius (Pallas, 1771) and Aedes vexans (Meigen, 1830) in the Po Plain (northern Italy) by Mattia Calzolari, Andrea Mosca, Fabrizio Montarsi, Annalisa Grisendi, Mara Scremin, Paolo Roberto, Carlotta Tessarolo, Francesco Defilippo, Federica Gobbo, Cristina Casalone, Davide Lelli, Alessandro Albieri

“…We modelled the distribution and abundance of these two mosquito species in the surveyed area using two distinct spatial analysis approaches (geostatistical and machine learning), which yielded congruent results. …”
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Rural Farmer‐Managed Wetland Agroecosystems Promote Climate Resilience in Semi‐Arid Savannah: Case of Nyororo Wetland, Mberengwa District, Zimbabwe by Pascal Manyakaidze, Regis Musavengane, Robert Maponga

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Management Library Based on Digital Literacy at school Berau State High School (Study Cases at State Senior High School 4 and State Senior High School 6 Berau) by Tatik Kusmiati, Nurlaili Nurlaili, Akhmad Akhmad, Warman Warman, Widyamitmike Gede Mulawarman, Azainil Azainil

“…The research was conducted at SMA Negeri 1 and SMA Negeri 4 Berau, using observation, interviews, and documentation for data collection. The data analysis follows the interactive model of Miles and Huberman and the Pattern Matching technique by Robert K. …”
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Voices of youth: youth participation in the CO-CREATE project by Biljana Meshkovska, Gerben Moerman, Evelyne Baillergeau, Christian Bröer, Nanna Lien, Aleksandra Luszczynska, Ana Isabel Rito, Cécile Knai, Arnfinn Helleve

“…Data was analyzed in NVivo, following the principles of reflexive thematic analysis. …”
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Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes by Chiagoziem C. Ukwuoma, Dongsheng Cai, Olusola Bamisile, Ejiyi J. Chukwuebuka, Ekong Favour, Gyarteng S.A. Emmanuel, Acen Caroline, Sabirin F. Abdi

“…The model makes use of a deep graph neural network with multi-scale attention and multi-linear perceptron block which accounts for the power network's structural composition during learning. The model's capacity to manage unusual data input and unidentified application situations is improved by the inclusion of multi-scale attention. …”
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Educommunication in nutrition and neurodegenerative diseases: a scoping review protocol by Kenio Costa Lima, Karla Monica Dantas Coutinho, Sancha Helena de Lima Vale, Lucia Leite-Lais, Manaces Santos Bezerril, Monica Karina Santos Reis

“…Health educommunication is a learning tool that can positively influence the appropriation of the theme and the construction of care autonomy. …”
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Effects of Baduanjin on motor function in children with developmental coordination disorders: study protocol for a randomised controlled trial by Wei Song, Anren Zhang, Jiaxin Gao, Xiaohua Ke, Dunbing Huang, Yangxin Wu, Xiaqing Xu, Hongfei Ren

“…Without appropriate intervention, these difficulties may endure into adolescence and adulthood, impacting various facets of their daily lives, including learning, social interactions and recreational activities.Methods and analysis Employing a randomised controlled trial design, 60 children diagnosed with DCD will be randomly assigned to two groups. …”
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Evaluation of the NHS England Low-Calorie Diet implementation pilot: a coproduced mixed-method study by Louisa J Ells, Tamara Brown, Jamie Matu, Ken Clare, Simon Rowlands, Maria Maynard, Karina Kinsella, Kevin Drew, Jordan R Marwood, Pooja Dhir, Tamla S Evans, Maria Bryant, Wendy Burton, Duncan Radley, Jim McKenna, Catherine Homer, Adam Martin, Davide Tebaldi, Tayamika Zabula, Stuart W Flint, Chris Keyworth, Mick Marston, Tanefa Apekey, Janet E Cade, Chirag Bakhai

“…Findings were triangulated with clinical data from the National Health Service England’s first cohort analysis (n = 7540). …”
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Contrast-enhanced ultrasound radiomics model for predicting axillary lymph node metastasis and prognosis in breast cancer: a multicenter study by Shi Yu Li, Yue Ming Li, Yong Qi Fang, Zhi Ying Jin, Jun Kang Li, Xiao Meng Zou, Si Si Huang, Rui Lan Niu, Nai Qing Fu, Yu Hong Shao, Xuan Tong Gong, Mao Ran Li, Wei Wang, Zhi Li Wang

“…Methods From March 2014 to December 2022, data from 682 breast cancer patients from four hospitals were collected, including preoperative grayscale US, color Doppler flow imaging (CDFI), contrast-enhanced ultrasound (CEUS) imaging data, and clinical information. …”
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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Rice yield estimation technology is mainly used to predict yield by combining multi-source data and algorithms, but there are still problems such as the difficulty of integrating multi-source data, which requires further research. …”
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Radiomics in the differential diagnosis of glioblastoma under the primary neurooncoimaging conditions by Nikita E. Maslov, Daria A. Valenkova, Alexander M. Sinitсa, Gennadiy E. Trufanov, Vladimir M. Moiseenko, Alexander Yu. Efimtsev, Vera V. Chernobrivtseva

“…We conducted a retrospective comparative statistical analysis of radiomic features extracted from 46 conventional brain MR images of the patients with adult-type diffuse gliomas and identified IDH mutation status using the Random Forest algorithm of machine learning in combination with various preprocessing methods of the source imaging data and a semi-automated LevelTracing tool used for segmentation of the regions of interest (ROI). …”
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Development of hypercontent-based teaching materials for screen printing course at FIP UNM by Asrul Burhan, P. Pattaufi, Nurhikmah H, Farida Febriati, Abdul Hakim, Citra Rosalyn Anwar, W. Wahira

“…Descriptive quantitative analysis was used to evaluate the data. The findings indicate that the need for digital modules among students is very high, expert validation shows good qualifications, trials demonstrate the modules’ good practicality, and pre-test and post-test results reveal improved student learning outcomes with effective to very effective qualifications. …”
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Fear of Missing Out pada Remaja di Masa Pandemi Covid-19 by Feti Pratiwi, M. Nanang Irawan Budi Susilo, Cristine Roselvia Tri Amelia

“…This study uses a qualitative method with a phenomenological approach. Methods of data collection using interviews. The data analysis technique that will be used is the descriptive coding method. …”
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PENGARUH PRAKTIK MANAJEMEN SUMBER DAYA MANUSIA DAN PERCEIVED ORGANIZATIONAL SUPPORT TERHADAP KOMITMEN GURU MELALUI EMPLOYEE ENGAGEMENT DI SMP SUBRAYON 09 KOTA SEMARANG [THE INFLUEN... by Stephanie Riady, Taryo, Niko Sudibjo

“…Data analysis was carried out using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). …”
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A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR by Mahmoud Abdallah, Xiaoli Ding, Samaa Younis, Songbo Wu

“…Recent advancements in data-driven deep learning (DL) methods have shown promise in phase separation by utilizing inherent phase relationships. …”
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Proof-of-concept evaluation at Cox’s Bazar of the Safe Water Optimization Tool: water quality modelling for safe water supply in humanitarian emergencies by Tarra L Penney, James Orbinski, Syed Imran Ali, Michael De Santi, Matt Arnold, Usman T Khan, Syed Saad Ali, Jean-François Fesselet

“…We validated the SWOT’s modelling by comparing performance using training and testing data sets. We assessed efficacy using binary logistic regression comparing household free residual chlorine (FRC) when the SWOT target was delivered at tapstands versus the status quo target, and effectiveness using interrupted time series analysis of the proportion of households with protective FRC before and after SWOT implementation.Results The SWOT generated a context-specific FRC target of 0.85–1.05 mg/L for 15-hours protection. …”
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Sensing technology for greenhouse tomato production: A systematic review by Jingxin Yu, Jiang Liu, Congcong Sun, Jiaqi Wang, Jianchao Ci, Jing Jin, Ni Ren, Wengang Zheng, Xiaoming Wei

“…Key findings show that deep learning-based multimodal data fusion models significantly improve accuracy in disease detection, facilitating tomato growth monitoring. …”
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KECEMASAN MAHASISWA SELAMA STUDY FROM HOME (SFH) BERDASARKAN TEMPAT TINGGAL by Yuda Mustakim, Erni Astutik

“…This study used a cross-sectional analysis, data collection using a questionnaire distributed online through social media and broadcast messages, and the sample size used determined by sampling technique and calculated using the Lemeshow formula. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Secondly, the combination of deep learning and reinforcement learning techniques is expected to empower robots to better interpret environmental patterns, adapt to dynamic changes, and make more effective real-time decisions. …”
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