Development and psychometric evaluation of the fear of medical imaging radiation scale (FOMIRS): insights from multimethod analysis by Lin-sen Feng, Si-rong She, Yuan-yuan Zhang, Jia-qi Xie, Zheng-jiao Dong, Ai Tang, Yin-zhu Li, Xiao-qian Wu, Qing Yang, Hao-yu Wang, San-bin Wang

“…Cost-induced refusal of imaging examinations, cancer screening willingness, online learning, imaging radiation cognition, and fear of cancer were identified as influencing factors of FOMIR (p < 0.05). …”
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Rethinking heat in thousands of school classrooms through continuous monitoring and novel exposure metrics by M. Pilar Botana Martinez, Priam Dinesh Vyas, Katherine H. Walsh, Lauren Main, Lauren Bolton, Yirong Yuan, Masanao Yajima, M. Patricia Fabian

“…As global temperatures rise, heat exposure in classrooms is becoming a growing concern for the millions of students attending school, in particular those learning in buildings without air conditioning (AC). …”
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Research on monitoring and early warning systems for mine water: Progress and prospects by Shangxian YIN, Yingying DING, Huiqing LIAN, Donglin DONG, Tong DU, Huichao YIN, Peng ZHAO, Yi’an ZHANG, Xiong WANG

“…This overall development direction includes seven specific directions: constructing a comprehensive index system, optimizing the layout of the perception system, total-factor joint monitoring of multiple disasters, establishing geological-hydrological models + deep learning-based prediction models, setting early warning rules and factor thresholds, real-time and advance warning, and image monitoring and big data processing. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…These selected features were then used to train machine learning models, which were optimized on the training dataset and assessed for predictive performance. …”
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Landscape structure, climate variability, and soil quality shape crop biomass patterns in agricultural ecosystems of Bavaria by Maninder Singh Dhillon, Thomas Koellner, Sarah Asam, Jakob Bogenreuther, Stefan Dech, Stefan Dech, Ursula Gessner, Daniel Gruschwitz, Sylvia Helena Annuth, Tanja Kraus, Thomas Rummler, Christian Schaefer, Sarah Schönbrodt-Stitt, Ingolf Steffan-Dewenter, Martina Wilde, Martina Wilde, Tobias Ullmann

“…To address this, we compared biomass estimates from a semi-empirical light use efficiency (LUE) model with predictions from a machine learning–remote sensing framework that integrates environmental variables. …”
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The Identification and Analysis of Novel Umami Peptides in Lager Beer and Their Multidimensional Effects on the Sensory Attributes of the Beer Body by Yashuai Wu, Ruiyang Yin, Liyun Guo, Yumei Song, Xiuli He, Mingtao Huang, Yi Ren, Xian Zhong, Dongrui Zhao, Jinchen Li, Mengyao Liu, Jinyuan Sun, Mingquan Huang, Baoguo Sun

“…Corresponding taste thresholds were 0.121, 0.217, 0.326, 0.406, 0.589, and 0.696 mmol L⁻¹ (DEVR < KSTEL < IEKYSGA < DELIK < PVPL < DIGISSK). …”
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Project PRIME (Psychosocial Response to International Medical Electives): Results from Medical Trainees by Nicole E St Clair, Kristina Devi Singh-Verdeflor, Vanessa McFadden, Elizabeth Groothuis, Stephanie Lauden, Megan S McHenry, Stephen Merry, Stephen Warrick, Samantha L Wilson, James H Conway

“…., promoting transformative learning while mitigating negative professional and personal impacts), (2) offer insight into harmful CS thresholds, (3) identify host perspectives, and (4) inform best practices for GH electives and global partnerships.…”
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Temporal changes of neurobehavior in rats following varied blast magnitudes and screening of serum biomarkers in early stage of brain injury by Ning Ma, Hong Wang, Qing Lu, Jinren Liu, Xiaolin Fan, Liang Li, Qi Wang, Xiao Li, Boya Yu, Yuhao Zhang, Junhong Gao

“…Three pressure magnitudes (low, moderate and high) were used to evaluate injury thresholds. A biology shock tube (BST) was used to simulate shock waves with overpressures of 60 kPa, 90 kPa and 120 kPa respectively. …”
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MYELODYSPLASTIC SYNDROMES AND IRON CHELATION THERAPY by Emanuele Angelucci, Silvana Anna Maria Urru, Federica Pilo, Alberto Piperno

“…However, extrapolation of learnings from thalassemia to the myelodysplastic syndromes (MDS) has resulted in a fragmented and uncoordinated clinical evidence base. …”
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Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index by Leyi Zhang, Xia Li, Xiuhua Liu, Zhiyang Lian, Guozhuang Zhang, Zuyu Liu, Shuangxian An, Yuexiao Ren, Yile Li, Shangdong Liu

“…Additionally, a SHapley Additive eXplanation (SHAP) interpretable machine learning model was employed to identify the dominant factors and thresholds influencing the EEQ in the TNEP and its sub-regions. …”
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Social norms and groups structure safe operating spaces in renewable resource use in a social–ecological multi-layer network model by M. Bechthold, M. Bechthold, M. Bechthold, W. Barfuss, W. Barfuss, A. Butz, J. Breier, J. Breier, S. M. Constantino, J. Heitzig, L. Schwarz, L. Schwarz, L. Schwarz, S. N. Vardag, J. F. Donges, J. F. Donges, J. F. Donges

“…Reaching a sustainable (i.e. safe) state becomes more likely with low thresholds of conforming to sustainable norms, as well as lower consideration rates of own resource harvesting success. …”
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Thinking like a Lawyer Ethically: Narrative Intelligence and Emotion by Lesley Townsley

“…Like many other institutions, the University of the South Pacific has recently developed university-wide Graduate Attributes, and its School of Law has developed Program Learning Outcomes for its LLB degree. These program learning outcomes are similar to those identified in the Australian Threshold Learning Outcomes for law, yet the local legal environment is very different. …”
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Prediction of Residual Life of Rolling Bearings Based on Multi-Scale Improved Temporal Convolutional Network (MITCN) Model by Keru Xia, Qi Li, Luyuan Han, Zhaohui Ren, Hengfa Luo

“…However, CNN models can only learn feature information relative to size, and it is difficult to extract complex time series features from data of long time series. …”
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Context-Aware Markov Sensors and Finite Mixture Models for Adaptive Stochastic Dynamics Analysis of Tourist Behavior by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…These sensors process streaming data to identify shocks, which are then used to reweight the probabilities of pre-learned behavioral regimes represented by FMMs. The system employs expectation maximization to train distinct Markov sub-models for each regime, enabling seamless transitions between them when contextual thresholds are exceeded. …”
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A Survey of Dental Caries Segmentation and Detection Techniques by Vincent Majanga, Serestina Viriri

“…It further looks into literature on segmentation and detection methods of dental images through deep learning. From the literature studied, we found out that methods were grouped according to the type of dental caries (proximal, enamel), type of X-ray images used (extraoral, intraoral), and segmentation method (threshold-based, cluster-based, boundary-based, and region-based). …”
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Pengaruh Bimbingan Kelompok dengan Media Audio Visual terhadap Motivasi Belajar Siswa di MTs Negeri 4 Jakarta by Rianka Anindya Rahmadhita, Sigit Muryono

“…The instrument demonstrated reliable validity with a Cronbach's Alpha coefficient of 0.675, surpassing the 0.60 threshold. Data analysis using the Wilcoxon test showed that 6 students experienced improved learning motivation, with an average increase of 3.50. …”
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Collaborative nowcasting of COVID-19 hospitalization incidences in Germany. by Daniel Wolffram, Sam Abbott, Matthias An der Heiden, Sebastian Funk, Felix Günther, Davide Hailer, Stefan Heyder, Thomas Hotz, Jan van de Kassteele, Helmut Küchenhoff, Sören Müller-Hansen, Diellë Syliqi, Alexander Ullrich, Maximilian Weigert, Melanie Schienle, Johannes Bracher

“…We conclude by providing some lessons learned on the definition of nowcasting targets and practical challenges.…”
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Fault diagnosis of the mine ventilation system based on OCKIELM by Zhiyuan Shen, Qizheng Wang

“…The kernel weight vector is updated, and the output values of the samples are estimated as new samples are absorbed according to the incremental learning method. Finally, the model’s test threshold is determined based on two threshold criteria. …”
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Measuring Attention in Second Language Reading Using Eye-tracking: The Case of the Noticing Hypothesis by Emrah Dolgunsöz

“…Taking Schmidt’s (1990) noticing hypothesis as point of departure this study aims to measure attention and learning gains during second language (L2) reading by making use of eye-tracking methodology. …”
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How suitable are movie reviews for use as ESL/EFL teaching and reading materials? by Milica Vukovic Stamatovic, Vesna Bratic

“… Finding adequate and interesting content is a challenge teachers and writers of foreign language learning materials frequently come across. In this paper, we evaluate how suitable, vocabulary-wise, movie reviews are for English language teaching and learning purposes. …”
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