Advancing dendrochronology with R: an overview of packages and future perspectives by Jan Altman, Jan Altman, Jan Altman, Nela Altmanova, Nela Altmanova, Pavel Fibich, Pavel Fibich, Kirill Korznikov, Patrick Fonti

“…Beyond managing traditional tasks like data processing, analysis, and results visualization, R is pivotal in integrating innovative techniques, such as multi-proxy datasets, artificial intelligence or machine learning, to address emerging challenges in tree-ring research. …”
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Development of a digital, self-guided return-to-work toolkit for stroke survivors and employers using intervention mapping. by Kristelle Craven, Jain Holmes, Jade Kettlewell, Kathryn Radford

“…No personal data were analysed. The toolkit aims to empower stroke survivors and employers to plan and manage a sustainable return-to-work post-stroke. …”
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The effect of low-intensity persistence exercise and high-intensity interval training on selective attention, memory, short-term and executive functions in sedentary students durin... by Mehdi Yazdanpanah, Isaac Naderyan

“…Introduction: Attention and memory are fundamental cognitive processes that play a crucial role in learning. The intensity of physical exercise can significantly influence cognitive functions. …”
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UruDendro, a public dataset of 64 cross-section images and manual annual ring delineations of Pinus taeda L. by Henry Marichal, Diego Passarella, Christine Lucas, Ludmila Profumo, Verónica Casaravilla, María Noel Rocha Galli, Serrana Ambite, Gregory Randall

“…Key Message The automatic detection of tree-ring boundaries and other anatomical features using image analysis has progressed substantially over the past decade with advances in machine learning and imagery technology, as well as increasing demands from the dendrochronology community. …”
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Being there: A scoping review of grief support training in medical education. by Laura Sikstrom, Riley Saikaly, Genevieve Ferguson, Pamela J Mosher, Sarah Bonato, Sophie Soklaridis

“…Three investigators reviewed the articles and extracted data for analysis. To supplement the search, we also scanned the reference lists of included studies for possible inclusion.…”
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Gaze and Movement Assessment (GaMA): Inter-site validation of a visuomotor upper limb functional protocol. by Heather E Williams, Craig S Chapman, Patrick M Pilarski, Albert H Vette, Jacqueline S Hebert

“…The Gaze and Movement Assessment (GaMA) was developed to provide protocols for simultaneous motion capture and eye tracking during the administration of two functional tasks, along with data analysis methods to generate standard measures of visuomotor behaviour. …”
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Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers by Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane Strong

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A gradient-boosted tree framework to model the ice thickness of the world's glaciers (IceBoost v1.1) by N. Maffezzoli, N. Maffezzoli, N. Maffezzoli, E. Rignot, E. Rignot, C. Barbante, C. Barbante, T. Petersen, S. Vascon

“…Providing supervision by exposing the model to available glacier thickness measurements reduces the error by a factor of up to 2 to 3. A feature-ranking analysis reveals that geodetic data are the most informative variables, while ice velocity can improve the model performance by 6 % at high latitudes. …”
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Vertical Integration in Visual System Education: A New Educational Experience by Simin Mahakizadeh, Saleheh Khorasani, Leila Sadati, Mohsen Arabi, Fatemeh Kermanian

“…The overall pre-intervention and post-intervention data were analyzed using Kolmogorov–Smirnov test and paired t-test in Statistical Package for the Social Sciences (SPSS) software. …”
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Artificial intelligence in open innovation project management: A systematic literature review on technologies, applications, and integration requirements by Moonita Limiany Prasetyo, Randall Aginta Peranginangin, Nada Martinovic, Mohammad Ichsan, Hendro Wicaksono

“…Those questions address AI technologies, project management tasks, industries adopting AI, and requirements for successful adoption. The analysis reveals that Machine Learning is widely employed in project management, especially for predicting analytics, optimizing resources, and managing risks. …”
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Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest by X Peng, C Chen, L Yu, X Kong, B Sun

“…The RF_WOA_DBO hybrid model achieved an accuracy of 98.29%, representing a 4.28% improvement over the baseline RF model. Comparative analysis revealed that traditional PCA methods risk losing essential pathological features by disregarding nonlinear data relationships, whereas deep learning requires substantial computational resources and high-quality datasets. …”
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Development of emotional knowledge and its relationship with productive vocabulary in monolingual and multilingual children in pre-primary classes by Christin Büning, Irene Corvacho del Toro, Arianne Lydia Andreas, Miriam Naomi Menz, Miriam Hansen, Carolin Quenzer-Alfred, Daniel Mays

“…The study underscores the importance of integrating systematic and additional emotional and language learning programs in primary education. …”
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Mapping Rice Paddy Areas in Nueva Ecija Using Temporal Sentinel -1 SAR Imagery by J. R. Cueto, J. M. Allard, J. M. Obras, A. M. De Asis, A. Galut, R. Dayrit, J. A. Tandoc, M. A. Purio, M. A. Purio

“…Using the Sentinel 1 Synthetic Aperture Radar (SAR) data, the study reveals rice paddy classification brought by supervised machine learning on the municipality of Guimba, in Nueva Ecija - the Rice Bowl Capital of the country. …”
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Unlocking the Shopper’s Mind: How Emerging Technologies Like Artificial Intelligence Is Shaping the Future of Retail by Florina-Gabriela MITU, Marius BOTA, Emil Emanuel SAVAN

“…This paper will attempt to contribute, by exploratory research and secondary data analysis, to a better understanding of how these new trends adapts to the digitization of retail due to technological development and ethical concerns raised by its increased use. …”
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Smartphone Enabled Wearable Diabetes Monitoring System by Shanthala Lakshminarayana, Mrudula Ranganatha, Yuze Sun, Hyusim Park

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A Multisite Study on Knowledge, Perceived Motivators, and Perceived Inhibitors to Precepting Nursing Students within the Clinical Environment in Ghana by Nancy Innocentia Ebu Enyan, Sarah Ama Amoo, Christian Makafui Boso, Patience Fakornam Doe, Dianne Slager

“…A descriptive cross-sectional study was conducted among 442 nurses and midwives aged 27–56 years with at least three years of work experience. Data were collected with a questionnaire and analyzed using frequency counts, percentages, exploratory factor analysis, and point biserial correlation. …”
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Stress, Sleep Quality, and Academic Performance among Dental Students in Shiraz, Iran by Zahra Jowkar, Zahra Fattah, Zahra Khorshidi Asl, Seyed Ahmadreza Hamidi

“…The grade point averages (GPAs) of the previous terms of the participants were also collected. Data analysis was performed using Kolmogorov–Smirnov test, the one-way ANOVA, post hoc Duncan’s test, nonparametric Kruskal–Wallis H test, Wilcoxon–Mann–Whitney test, and the chi-squared test. …”
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Informed self-assessment during the transition to medical school: a longitudinal narrative study by Wendy Hu, Sylvia Heeneman, Jenny McDonald, Samantha Ryan

“…Objectives To explore how medical students’ narratives of informed self-assessment (ISA) change during their first 18 months of study.Design This longitudinal study used student narratives drawn from qualitative interviews and written reflections during the transition to medical school, to examine changes in ISA. Our analysis was informed by Situated Cognition Theory which recognises the impact and interplay of personal and environmental factors in cognition.Setting To study medicine, first year students need to adapt their self-regulated learning in the context of a new peer group, study demands and educational culture. …”
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Adapting new norms: A mixed-method study exploring mental well-being challenges in dental technology education. by Galvin Sim Siang Lin, Wen Wu Tan, Kah Hoay Chua, Jong-Eun Kim, Jin Gan, Mohd Haikal Muhamad Halil

“…Meanwhile, qualitative data were obtained through one-on-one semi-structured interviews, employing a phenomenology approach and thematic analysis to explore students' experiences in the new educational landscape.…”
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Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

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