Enhancing medical students’ understanding of end-of-life care ethics and law through video-triggered expert-led debriefing: a two-stage study by Yuan-Ping Chao, Yu-Lun Tsai, Daphne Yih Ng, Jen-Jiuan Liaw, Chung-Pei Fu, Chih‑Chia Wang

“…Seven of the eight knowledge-based questions and four of the seven learning motivation items showed significant improvement in the posttest (P < 0.05). …”
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Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…However, the detection of small vascular bundles from cross-sectional images is challenging due to their tiny size and the noisy background typically present in microscopy images.MethodsTo address these challenges, we propose Rice-SVBDete, a specialized deep learning-based detection algorithm for small vascular bundles in rice stem cross-sections. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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Self-Localization of Guide Robots Through Image Classification by Muhammad S. Alam, Farhan B. Mohamed, AKM B. Hossain

“…Two datasets were created from the room images based on the height above and below the chest. The above-mentioned method achieved a localization accuracy of 98.98%. …”
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Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer by Lin Ni, Lin Ni, He Li, Yanqi Cui, Wanqiu Xiong, Shuming Chen, Hancong Huang, Zhiwei Wang, Hu Zhao, Hu Zhao, Hu Zhao, Bing Wang, Bing Wang, Bing Wang

“…ObjectivesIn this study, we constructed a model based on circadian rhythm associated genes (CRRGs) to predict prognosis and immune infiltration in patients with breast cancer (BC).Materials and methodsBy using TCGA and CGDB databases, we conducted a comprehensive analysis of circadian rhythm gene expression and clinicopathological data. …”
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Participation of non-linguistic university students in projects as a motivation factor for developing foreign language communicative competence (based on the example of youth proje... by Nataliia A. Grishchenko, Victoria V. Kornienko, Elizaveta A. Molokova, Elena A. Molokova

“…Materials and methods. The article is based on the experience of SibFU students in project management activity: the КрасWorld project, implemented as a part of the Твой Ход Russian Student Project and the Eurasia Global International Youth Forum. …”
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Learning from the best: How medical-students construct role models in general practice during the COVID-19 pandemic and what factors influence this process, a qualitative study. [v... by Hamish Sutcliffe, Jane Andrews, Patrick Odonnell

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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

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VIOLET: Vectorized Invariance Optimization for Language Embeddings Using Twins by Mikhail E. Ram, G. Manju

“…Unlike conventional contrastive learning methods that rely on large batch sizes and hard negative mining to achieve performance, VIOLET operates exclusively on positive pairs. …”
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Efficient Text Style Transfer Through Robust Masked Language Model and Iterative Inference by Osama Subhani Khan, Naima Iltaf, Usman Zia, Rabia Latif, Nor Shahida Mohd Jamail

“…We conduct experiments on two real world widely used product reviews sentiment datasets on both polarities, i.e., positive to negative and negative to positive. Comparison with various prompt-based as well as unsupervised learning based methods demonstrate state-of-the-art performance of our approach.…”
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Peer patient round table: FNP student evaluation of clinical performance by Marjorie Young, Carey Cole, Eunyoung Lee

“…Several positive aspects of PPRT were highlighted: the dynamic peer interaction, the evolution of thought processes through three different viewpoints/roles, and students challenging themselves to think out of the box based on each role, along with greater responsibility and independence to complete the patient visit. …”
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Educators’ perspective on artificial intelligence: equity, preparedness, and development by John Maurice Gayed

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An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing imagesGosNIIASLEarning, VIsion and Remote sensing laboratory by Yanbo Sun, Wenxing Bao, Wei Feng, Kewen Qu, Xuan Ma, Xiaowu Zhang

“…Change detection (CD) is a meaningful and challenging task for remote sensing (RS) image analysis. Deep learning (DL) based methods have shown great potential in change detection tasks, there are still two problems with existing deep learning methods such as CNN and Transformer: (1) They do not target different depths to extract global semantics in the network; (2) The increase in network depth will lead to uncertainty in the edge pixels of changing targets and the absence of small targets. …”
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Express Analysis of the Structural and Electronic Properties of Nanomaterials Using Big Data, Large Language Models and Generative Artificial Intelligence by N. A. Shymanski, A. V. Baglov, Kh. B. Musaev, O. N. Ruzimuradov, L. S. Khoroshko

“…The possibility of using large language models, generative machine learning and big data methods for predictive analysis of the electronic properties of nanostructures based on semiconductor materials is considered, without limiting the generality of this approach for other crystalline materials. …”
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Improving the Accuracy of Indoor Object Localization in the Internet of Things Using Recurrent Neural Networks (LSTM) in Challenging Environments by Hussein Aqeel Hussein, Mehdi Hamidkhani, Nasseer K. Bachache, Mohammadreza Soltan Aghaei

“…Increased optimization is a positive side-effect of harmonizing sparse autoencoders based on a feature selection process, and deep learning classifiers. …”
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Detection of Sugar Syrups in Honey Using Untargeted Liquid Chromatography–Mass Spectrometry and Chemometrics by Jule Hansen, Christof Kunert, Kurt-Peter Raezke, Stephan Seifert

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Bridging the gap in teacher SEL training: Designing and piloting an online SEL intervention with and for teachers by Sofia Oliveira, Andreia Cardoso, Mariana Oliveira Martins, Magda Sofia Roberto, Ana Margarida Veiga-Simão, Alexandra Marques-Pinto

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Exploring the role of moderators in the effectiveness of digital games for stem education: a systematic review and meta-analysis by Isnanik Juni Fitriyah, Sony Yunior Erlangga, Andik Wahyun Muqoyyidin, Septi Aprilia

“…Digital Games did have a strong positive impact on STEM learning outcomes (SMD = 1.26). …”
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Digital-Tier Strategy Improves Newborn Screening for Glutaric Aciduria Type 1 by Elaine Zaunseder, Julian Teinert, Nikolas Boy, Sven F. Garbade, Saskia Haupt, Patrik Feyh, Georg F. Hoffmann, Stefan Kölker, Ulrike Mütze, Vincent Heuveline

“…Because of the broad biochemical spectrum of individuals with GA1 and the lack of reliable second-tier strategies, NBS for GA1 is still confronted with a high rate of false positives. In this study, we aim to increase the specificity of NBS for GA1 and, hence, to reduce the rate of false positives through machine learning methods. …”
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Machine vision model using nail images for non-invasive detection of iron deficiency anemia in university students by Jorge Raul Navarro-Cabrera, Miguel Angel Valles-Coral, María Elena Farro-Roque, Nelly Reátegui-Lozano, Lolita Arévalo-Fasanando

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