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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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults by Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang

“…The study identified three key factors—baseline disease counts, self-rated Activities of Daily Living (ADL), and self-rated health status—as critical predictors of multimorbidity trajectories.…”
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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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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
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Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks by Lateef Adesola Afolabi, Takvor Soukissian, Diego Vicinanza, Pasquale Contestabile

“…Of all the ANNs examined, the hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks demonstrated superior forecasting performance compared to the individual models, as evaluated by standard statistical metrics, while it also exhibited a very good performance at high wind speeds, i.e., greater than 15 m/s. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. …”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…With the increasing demand for training efficiency, mixture-of-experts (MoEs) has become essential for scaling large models by selectively activating sub-networks of experts through a gating network, thereby optimizing performance. This paper presents molecular MoL-MoE, a multi-view MoEs framework designed to predict molecular properties by integrating latent spaces derived from SMILES, SELFIES, and molecular graphs. …”
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Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…To address this, a Time-Gated LSTM (TG-LSTM) was implemented. TG-LSTM outperformed standard LSTM for irregular data in one-step prediction but faced limitations in handling heteroscedasticity and computational cost during multi-step forecasting. …”
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Factors affecting detection probability: Insights from banding data in a long-term continent-wide monitoring program by Morgane Gicquel, Juan C. Alonso, Lovisa Nilsson, Matthew Low, Javier A. Alonso, Dmitrijs Boiko, Damon Bridge, Patrick Dulau, Thomas Heinicke, Anne Kettner, Yosef Kiat, Petras Kurlavičius, Sigvard Lundgren, Michael Modrow, Günter Nowald, Ivar Ojaste, Alain Salvi, Jostein Sandvik, Markéta Ticháčková, Antonio Torrijo, Jari Valkama, Zsolt Végvári, Johan Månsson

“…In this study we investigate factors influencing detection rates of colour-banded Eurasian cranes (Grus grus), from a monitoring program spanning 35 years, involving 5049 marked individuals using four different types of bands (ELSA, ‘Finnish’, ‘Spanish’ and alphanumeric) with 172,725 resightings along migratory flyways. …”
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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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Toward Fiscal Decentralization: Assessing the Performance of Internally Generated Revenue Collection for Local Development in Ghana by Charles Nicholas, Charles Dwumfour Osei, David Kwao-Sarbah

“…The findings reveal a striking pattern where property rates emerged as the most consistent and high-performing source of IGF, while revenues from land royalties and administrative fees lagged significantly. …”
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Children supervising children across low- and middle-income countries: the role of mothers’ education by Mónica Ruiz-Casares, Ruo Ying Feng, Negin Zamani, René Iwo, Magdalena Janus, Afua Twum-Danso Imoh, José Ignacio Nazif-Muñoz

“…In 90% of the countries across all regions, higher maternal education was associated with lower prevalence rates of children supervised by another child. No clear pattern was found among the eight countries across four continents displaying the opposite trend. …”
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