Unleashing English-speaking proficiency: The role of academic environment, technology, and linguistic adaptability evidence from Indonesia by Eulis Rahmawati, Herlina Herlina, Ninuk Lustyantie

“…The research employs a quantitative approach using a survey method, collecting data from a sample of students engaged in English language learning. …”
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From “Experiencers” to “Souvenir buyers”: Segmenting Serbian tourists based on motivations for purchasing local liqueurs while travelling by Marijana Seočanac, Sonja Veljović, Marija Kostić, Katarína Hrobňová

“…By analysing various intrinsic and extrinsic factors that influence these purchasing decisions, the study also attempts to identify different segments of tourists with different motivations for buying liqueurs. Methodology – Data from a sample of 133 buyers were analysed using hierarchical and k-means cluster analysis. …”
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Maximizing sales: synergy of job autonomy, innovation culture, emotional intelligence, and a touch of creativity by Abid Muhtarom, Abu Muna Almaududi Ausat, Hizbul Khootimah Azzaakiyyah, Syamsuri Syamsuri, Suherlan Suherlan

“…Implications – Theoretically, this study extends the self-determination theory (SDT), organizational innovation theory, and resource-based view (RBV) theory by demonstrating the interplay between autonomy, innovation, and emotional intelligence in enhancing creativity and sales performance. …”
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Measuring trust with the Wayfinding Task: Implementing a novel task in immersive virtual reality and desktop setups across remote and in-person test environments. by Michael F Clements, Larissa Brübach, Jessica Glazov, Stephanie Gu, Rahila Kashif, Caroline Catmur, Alexandra L Georgescu

“…These results have implications for the measurement of trust in behavioral settings and the use of remote and VR-based testing in social experiments.…”
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Computer Technology and Students’ Social Cultural Values in Selected Secondary Schools in Kabale District. by Ninsiima, Comfort

“…Structured surveys gather quantitative data on technology usage frequency, perceived effects (positive and negative), and access to technology at home. …”
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Investigating the relationship between human capital and innovation with the mediating role of knowledge sharing and social media networking in iranian creative companies by Hashem Atapour, Afshin Hamdipour, Sahar Safipour

“…Out of the distributed questionnaires, 233 were returned fully completed, enabling a substantial dataset for analysis. The collected data were analyzed using SPSS and SmartPLS software, facilitating both descriptive and path analysis.Findings: The descriptive analysis revealed that the research data adhered to normal distribution parameters. …”
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Deep Learning for Real-Time PPE Usage Monitoring Using Wearable IMU Sensors by Pedro Carvalho da Fonseca Guimaraes, Leonardo Braga de Cristo, Marcos Eduardo Pivaro Monteiro, Joao Luiz Rebelatto, Guilherme de Santi Peron, Ohara Kerusauskas Rayel, Guilherme Luiz Moritz

“…This work represents the first application of DNNs for PPE monitoring using IMU data, offering significant implications for enhancing safety compliance and operational monitoring in power distribution.…”
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Labour or capital factors: Which influence industrial automation more? by Marcin Gryczka

“…Research Design & Methods: The empirical insights came from a broad array of statistical data spanning from 2000 to 2022, acquired from reputable international institutions. …”
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A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder by Xingfa Zi, Feiyi Liu, Mingyang Liu, Yang Wang

“…We trained the model using data from 2020 to 2022 from Australia’s Desert Knowledge Australia Solar Centre (DKASC), with 2023 data used for testing. …”
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Prediction of Vigor of Naturally Aged Seeds from Xishuangbanna Cucumber (<i>Cucumis sativus</i> L. var. <i>xishuangbannanesis</i>) Using Hyperspectral Imaging by Meng Zhang, Jiangping Song, Huixia Jia, Xiaohui Zhang, Wenlong Yang, Yang Wang, Haiping Wang

“…Hyperspectral imaging was employed to acquire spectral data from the seeds. Preprocessing methods including MSC (Multivariate Scattering Correction), SNV (Standard Normal Variety), FD (First Derivative), SD (Second Derivative), and L2NN (L2 Norm Normalization) were applied to enhance spectral data quality. …”
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Implementation of an intervention to scale up coverage of pneumonia management in children younger than 5 years in a north Indian district: protocol for a quasi-experimental, mixed... by Shamim Qazi, Sarmila Mazumder, Naveen Garg, Yasir Bin Nisar, Barsha Gadapani Pathak, Tarun Madhur

“…Informed consent will be obtained from all participants, including caregivers and healthcare workers, prior to data collection. Dissemination meetings in the study country will share results with stakeholders, including Ministry of Health officials, health managers, families of under-five children, community leaders and academia, to discuss national health programme implications. …”
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Integration of automatic MRI segmentation techniques with neuropsychological assessments for early diagnosis and prognosis of Alzheimer’s disease. A systematic review by Sabrina Bonarota, Giulia Caruso, Carlotta Di Domenico, Sofia Sperati, Federico Maria Tamigi, Giovanni Giulietti, Federico Giove, Carlo Caltagirone, Laura Serra

“…Limitations: Heterogeneity across studies, selection and measurement bias, and lack of non-response data were noted. Conclusions and Implications: This review emphasises the necessity of integrating automated MRI segmentation with neuropsychological assessments for the diagnosis and prognosis of AD. …”
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Beyond the Pain Management Clinic: The Role of AI-Integrated Remote Patient Monitoring in Chronic Disease Management &ndash; A Narrative Review by Patel PM, Green M, Tram J, Wang E, Murphy MZ, Abd-Elsayed A, Chakravarthy K

“…Looking forward, AI-integrated RPM is expected to further refine disease management strategies by offering more personalized and effective treatments. The broader implications, including its applicability to cardiology, diabetes, and pain management, showcase RPM’s capacity to deliver automated, data-driven care, thereby reducing healthcare burdens while enhancing patient outcomes and quality of life.Keywords: remote patient monitoring, RPM, chronic disease management, AI integrated care…”
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Characteristic analysis of adverse reactions of finerenone: an in-depth analysis from WHO-VigiAccess by Hongxuan Fan, Zhuolin Huang, Yafen Yang, Jiahui Li, Boda Zhou

“…Data were sourced from WHO’s VigiAccess database, focusing on affected organ systems, symptoms, and demographic details, such as age, gender, and geographic distribution of the patients in the reports. …”
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Cannabis and psychopathology: 2024 Snapshot of a meandering journey by Tathagata Mahintamani, Diptadhi Mukherjee, Debasish Basu

“…This is an area which will require active monitoring for new data. Conclusion: The field of cannabis use and psychopathology continues to collect new data and settle some old controversies while raising new questions, which are important to address in view of the wide use of cannabis worldwide and its implications for public health.…”
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Metabolic adverse events associated with systemic corticosteroid therapy—a systematic review and meta-analysis by Szilard Nemes, Veronica Phillips, Spoorthy Kulkarni, Hannah Durham, Luke Glover, Osaid Ather, Leslie Cousens, Parmis Blomgran, Philip Ambery

“…Objectives To assess the risk of new-onset or worsening hyperglycaemia, hypertension, weight gain and hyperlipidaemia with systemic corticosteroid therapy (CST) as reported in published randomised control trial (RCT) studies.Data sources Literature search using MEDLINE, EMBASE, Cochrane library, Web of Science and ScopusStudy eligibility criteria Published articles on results of RCT with a systemic CST arm with numerical data presented on adverse effect (AE).Participants and interventions Reports of hyperglycaemia, hypertension, weight gain and hyperlipidaemia associated with systemic CST in patients or healthy volunteer’s ≥17 years of age.Study appraisal methods Risk of bias tool, assessment at the level of AE and key study characteristics.Results A total of 5446 articles were screened to include 118 studies with 152 systemic CST arms (total participants=17 113 among which 8569 participants treated with CST). …”
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Identification of Long Noncoding RNA Candidate Disease Genes Associated With Clinically Reported Copy Number Variants in Congenital Heart Disease by Jacqueline S. Penaloza, Blythe Moreland, Jeffrey B. Gaither, Benjamin J. Landis, Stephanie M. Ware, Kim L. McBride, Peter White

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Outcome Indicators for Evaluating Interventions by Advanced Practice Nurses Specialising in Acute Pain: A Scoping Review by Patricia Barroso‐Castaño, Sandra Cabrera‐Jaime, Maria Feijoo‐Cid, Ariadna Huertas‐Zurriaga, Llúcia Benito Aracil

“…Two review authors independently performed data selection and extraction, and a third reviewer resolved conflicts. …”
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Evaluating the Potential Use of Wearable Fitness Devices as a Measure of Outcomes in Orthopaedics by Jordan Henderson BS, Santiago Logan-Baca BS, Sara Kisiel BS, Fadi Muheidat PhD, David Jaffe MD

“…A mobile phone application was then installed in subjects’ smartphones that utilized past and future health data including step counts and distance traveled. …”
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Sero-epidemiological survey of Coxiella burnetii in livestock and humans in Tana River and Garissa counties in Kenya. by Damaris Mwololo, Daniel Nthiwa, Philip Kitala, Tequiero Abuom, Martin Wainaina, Salome Kairu-Wanyoike, Johanna F Lindahl, Enoch Ontiri, Salome Bukachi, Ian Njeru, Joan Karanja, Rosemary Sang, Delia Grace, Bernard Bett

“…<h4>Background</h4>Coxiella burnetii is a widely distributed pathogen, but data on its epidemiology in livestock, and human populations remain scanty, especially in developing countries such as Kenya. …”
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