Implementation and Evaluation of a Therapeutic Communication Educational Program for Nurses: Protocol for a Mixed Methods Study by Krista Hoek, Louise Suur, Monique van Velzen, Elise Y Sarton

“…Applying the Kirkpatrick model for training evaluation, this prospective study will use a convergent mixed methods study design, integrating both qualitative and quantitative data. Qualitative data will include fieldwork, as well as individual and focus group interviews with the participating nurses. …”
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Unveiling the immune microenvironment of complex tissues and tumors in transcriptomics through a deconvolution approach by Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I.-Hsuan Lu, Chung-Yen Lin

“…In this study, we developed a streamlined, two-step workflow to address the complexity of bioinformatics processes involved in analyzing immune cell composition from transcriptomics data. …”
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Unleashing the Potential of Knowledge Distillation for IoT Traffic Classification by Mahmoud Abbasi, Amin Shahraki, Javier Prieto, Angelica Gonzalez Arrieta, Juan M. Corchado

“…The Internet of Things (IoT) has revolutionized our lives by generating large amounts of data, however, the data needs to be collected, processed, and analyzed in real-time. …”
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Quantitative modelling for dengue and Aedes mosquitoes in Africa: A systematic review of current approaches and future directions for Early Warning System development. by Lembris Laanyuni Njotto, Wilfred Senyoni, Ottmar Cronie, Michael Alifrangis, Anna-Sofie Stensgaard

“…A systematic search was conducted across multiple databases, including PubMed, EMBASE, EBSCOhost, and Scopus, restricted to studies conducted in Africa and published in English. Data management and extraction process followed the 'Preferred Reporting Items for Systematic Reviews and Meta-Analyses' (PRISMA) framework. …”
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A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity by Balamurali S, Kathirvelu M, SatheeshKumar Palanisamy, Tagrid Abdullah N. Alshalali

“…Abstract Wireless Sensor Networks (WSN)-based Internet of Things (IoT) are made up of many tiny sensor nodes that are assigned specific tasks to sense, data process, communicate and control in predetermined areas. …”
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Students' willingness to report weapons and violence in Cameroon secondary schools: Implications for students' well-being and school safety by Awu Isaac Oben, Xu Hui

“…Quantitative data was analyzed using descriptive and inferential statistical tools, with hypotheses tested using t-tests and ANOVA tests for comparisons between groups like class, age, and socioeconomic status. …”
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DETERMINATION OF PASSENGER-TRAFFIC FLOWS IN REGIONAL TRANSPORT SYSTEM ON THE BASIS OF MODIFIED GRAVITY MODELS by E. A. Nurminskiy, I. N. Pugachev, N. V. Shamray, V. N. Sedyukevich

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Presenting a model for the psychological competencies of managers for selection in the social security organization by khalil khomideh, hasan rangriz

“…Background: The selection of managers with appropriate psychological competencies is crucial for organizations like social security organizations, which have profound and far-reaching effects on society. …”
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Eoarchean–Paleoproterozoic Tectonothermal History of the Acasta Gneiss Complex Constrained by Titanite and Apatite Petrochronology by Omar Khalil Droubi, Ann M. Bauer, Chloë Bonamici, William O. Nachlas, Joshua M. Garber, Michael J. Tappa, Jesse R. Reimink

“…Abstract Deciphering Earth's earliest geodynamic processes requires temporally constrained chemical and structural data from rare exposures of ancient rocks. …”
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CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers by Fahad Alharbi, Suhuai Luo, Abdullah Alsaedi, Sipei Zhao, Guang Yang

“…However, acquiring such labelled data is often challenging in industrial environments due to the rarity of faults and the labour-intensive nature of the labelling process. …”
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Dempster Shafer-Empowered Machine Learning-Based Scheme for Reducing Fire Risks in IoT-Enabled Industrial Environments by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, Byungun Yoon

“…By preprocessing sensor data and by combining machine learning algorithms (MobileNet, EfficientNet, Random Forest, SVM, and Decision Trees) where each ML processes different sensor data types, this supports providing more accurate data to DST. …”
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Tsirelson bounds for quantum correlations with indefinite causal order by Zixuan Liu, Giulio Chiribella

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DIKWP-TRIZ: A Revolution on Traditional TRIZ Towards Invention for Artificial Consciousness by Kunguang Wu, Yucong Duan

“…The study further demonstrates the framework’s capacity to support advanced decision making and cognitive processes, paving the way for the development of AI systems capable of sophisticated, human-like reasoning. …”
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Policy dismantling by capacity manipulation in a context of democratic backsliding: The bureaucracy in disarray in Bolsonaro’s Brazil by Michelle Morais de Sá e Silva

“…The policy dismantling framework was developed to account for processes involving the reduction or termination of existing policies, especially in the so-called advanced democracies. …”
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Genomic analysis suggests that mRNA destabilization by the microprocessor is specialized for the auto-regulation of Dgcr8. by Archana Shenoy, Robert Blelloch

“…<h4>Background</h4>The Microprocessor, containing the RNA binding protein Dgcr8 and RNase III enzyme Drosha, is responsible for processing primary microRNAs to precursor microRNAs. …”
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The Edge Connectivity of Expanded k-Ary n-Cubes by Shiying Wang, Mujiangshan Wang

“…Mass data processing and complex problem solving have higher and higher demands for performance of multiprocessor systems. …”
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CAUSES OF DEVELOPMENT OF ACUTE AND CHRONIC THROMBOCYTOPENIA IN CHILDREN OF IRKUTSK REGION by N. N. Martynovich, O. P. Tolmacheva, V. A. Khyshova

“…A retrospective analysis of 433 case histories of the cancer department of the Regional Children’s Hospital in Irkutsk was conducted. Statistical processing of the received data was carried out with the help of the Matlab program and statistical package “Statistica 6.0”. …”
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Opportunities and Challenges for Locally Sourced Meat and Seafood: An Online Survey of U.S. Restaurant Procurers by Steven Richards, Michael Vassalos

“…The most common barriers are inconsistent quality, high cost, limited availability, and further processing needs. Results from a logistic regression suggest that restaurants characterized by fewer seats, higher entrée prices, and longer tenure are more likely to purchase local proteins. …”
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P300 event-related potential as an indicator of inattentional deafness? by Louise Giraudet, Marie-Eve St-Louis, Sébastien Scannella, Mickaël Causse

“…This inability of an auditory stimulus to reach consciousness has been coined under the term of inattentional deafness. Recent data from literature tends to show that tasks involving high cognitive load consume most of the attentional capacities, leaving little or none remaining for processing any unexpected information. …”
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AI-powered analysis of ESG disclosure: a clustering approach to determinants and motivations by Ouissal El Aziz, Abdelkarim Asdiou

“…The selected articles were processed using an approach integrating artificial intelligence tools, in particular natural language processing (NLP) to ensure thematic and semantic analysis of the data, followed by clustering analysis based on TF-IDF vectorization to analyze the identified determinants. …”
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