Benchmarking Mentorship: Creating and Validating a Quality Scale for ELT Mentors by Ali Kondori, Mitra Zeraatpishe, Hamid Ashraf, Khalil Motallebzadeh

“…The results of the Rasch rating scale model and Cronbach’s alpha indicated that the developed questionnaire had satisfactory validity and reliability indices. …”
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The impact of teaching materials on instructional design and teacher development by Lola Garay Abad, John Hattie

“…Teacher-created materials were rated as most useful (90.1%), and teachers reported high autonomy (94.1%) in selecting and adapting materials — a factor closely tied to increased classroom confidence. …”
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User Preferences of Airbnb Accommodation Spatially in The Special Region of Yogyakarta, Indonesia by Azis Musthofa, Arief Wicaksono, Raden Rijanta

“…Spatially, it shows that Airbnb accommodations in the Jetis and Kraton sub-districts achieve the most favorable ratings for amenities, location, hygiene, host and staff performance, as well as room and toilet conditions. …”
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Consumer preference and food values: can consumers in Tanzania play part in driving a sustainable food system? by Roselyne Alphonce, Yun Yun Gong, Hettie C. Schönfeldt, Lise Korsten

“…A mixed-method approach was employed, including interviews with six key food system actors, two focus group discussions with 16 consumers, and a survey of 750 consumers from urban and rural towns across three regions in Tanzania. Participants rated the importance of 16 food values such as hygiene, nutrition, taste, and price—using the Best-Worst Scaling method. …”
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The other in me: interpersonal multisensory stimulation changes the mental representation of the self. by Ana Tajadura-Jiménez, Stephanie Grehl, Manos Tsakiris

“…Finally, synchronous, as compared to asynchronous, IMS resulted in significant differences in participants' ratings of their experience, but unlike other bodily illusions, positive changes in subjective experience were related to the perceived physical similarity between the two faces, and not to identification.…”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. Key metrics, including accuracy, precision, and F1-score, are employed to assess and benchmark the models. …”
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Movie-watching evokes ripple-like activity within events and at event boundaries by Marta Silva, Xiongbo Wu, Marc Sabio, Estefanía Conde-Blanco, Pedro Roldán, Antonio Donaire, Mar Carreño, Nikolai Axmacher, Christopher Baldassano, Lluís Fuentemilla

“…Our results revealed a differential dynamical pattern of ripple occurrence during encoding. Enhanced hippocampal ripple recruitment was observed at event boundaries, reflecting hippocampal involvement in event segmentation, whereas higher ripple rates were seen within an event for cortical electrodes with higher ripple occurrence at the temporal cortex, reflecting whether an event was later recalled. …”
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The state and fate of Glaciar Perito Moreno Patagonia by Moritz Koch, Christian Sommer, Norbert Blindow, Katrina Lutz, Pedro Skvarca, Lucas Ruiz, Paola Rizzoli, Jose-Luis Bueso-Bello, Johannes J. Fürst, Matthias H. Braun

“…We detect an acceleration in frontal surface lowering rates, from 0.34 m a−¹ (2000–2019) to 5.5 m a−¹ (2019–2024), accompanied by glacier acceleration and retreat. …”
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Geographical variation of overweight, obesity and related risk factors: Findings from the European Health Examination Survey in Luxembourg, 2013-2015. by Hanen Samouda, Maria Ruiz-Castell, Valery Bocquet, Andrea Kuemmerle, Anna Chioti, Frédéric Dadoun, Ngianga-Bakwin Kandala, Saverio Stranges

“…Large disparities in the prevalence of overweight and obesity were found between municipalities, with the highest rates of obesity found in 3 municipalities located in the South-West of the country. …”
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Fertility intentions among Chinese adults: a cross-sectional study using a national survey by Mingyan Hao, Chenxiao Zhang, Haofeng Fu, Jingting Zhang, Ziyi Zhang, Baotong Ma, Ruitong Xia, Yuanwei Lu, Jingwen Liu, Hanjia Xin, Yumeng Cao, Saier Yang, Runqing Li, Ji Zhao, Jin Zhang, Zheng Gao, Yaxin Zeng, Yixiao Ding, Zhuolun Ren, Yan Guan, Na Zhang, Jia Li, Yan Ma, Pei Wei, Jingjing Dong, Chen Chen, Yajing Zhou, Jianzhong Zheng, Wei Liu, Lizheng Wang

“…To tackle the challenge of decreasing fertility rates effectively, it is essential that interventions focus on younger women and highlight the advantages of living with multiple generations. …”
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Posterior hip dislocation associated with a femoral neck fracture and posterior acetabular wall fracture by Marcus Vinícius Bianchi, Ary da Silva Ungaretti Neto, Cristina Vicioli, Ramesses Akamefula, Márcio Balbinotti Ferrari

“…The complexity arises from the cumulative complication rates associated with each injury, leading to an elevated overall risk.Case Presentation: A 30-year-old male was involved in a motorcycle collision, presenting with a shortened left lower extremity in adduction, internal rotation, and flexion. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…Moreover, the combination of federated learning with basic neural network models like the Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Gated Recurrent Unit (GRU) is explored. The results indicate that integrating federated learning can greatly enhance satellite prediction, opening new possibilities for future orbital prediction and space technology development.…”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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Long-Term Multimodal Exercise Intervention for Patients with Frontotemporal Lobar Degeneration: Feasibility and Preliminary Outcomes by Miyuki Nemoto, Kiyotaka Nemoto, Hiroyuki Sasai, Shinji Higashi, Miho Ota, Tetsuaki Arai

“…Feasibility was measured using dropout and attendance rates. Cognitive, psychological, physical, and behavioral function tests were conducted before and after the intervention. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Critical review of healthcare financing and a survey of system quality perception among healthcare users in Nigeria (2010-2023). by Blessing Osagumwendia Josiah, Emmanuel Chukwunwike Enebeli, Brontie Albertha Duncan, Prisca Olabisi Adejumo, Chinelo Cleopatra Josiah, Lordsfavour Anukam, Muhammad Baqir Shittu, France Ncube, Kelechi Eric Alimele, Mercy Emmanuel, Oyinye Prosper Martins-Ifeanyi, Fawole Israel Opeyemi, Oluwadamilare Akingbade, Abosede Peace Adebayo, Busiroh Mobolape Ibraheem, Ubiebo Ataisi Ekenekot, Mudiaga Sidney Edafiejire, Solomon Oluwaseun Olukoya, Ufuomaoghene Jemima Mukoro, Siyouneh Baghdasarian, Joy Chioma Obialor, Gloria Oluwakorede Alao, Blessing Onyinye Obialor, Ndidi Louis Otoboyor, Oghosa Gabriel Josiah, Joshua Okonkwo, Precious Ebinehita Imoyera, Ajao Adewale Gbolabo, Blessing Chiamaka Nganwuchu, Olukayode Joseph Oladimeji, Timothy Wale Olaosebikan, Marios Kantaris

“…Results show that the average rating of healthcare experiences did not vary significantly over the last decade. …”
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Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational... by Chaitali Sinha, Dyuthi Dinesh, Creighton Heaukulani, Ye Sheng Phang

“…Users who used the longitudinal intervention after first using a brief intervention demonstrated significantly higher engagement and retention (P < 0.001). In user ratings received for mindline.sg (n = 8,959), 83.03% rated the app 3 or higher (out of 5) on helpfulness. 91.6% of the users (n = 862) who attempted cognitive restructuring (n = 790) on the app successfully reframed a thought. …”
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