30 Years of Research in Brand Personality: Mapping Knowledge and Analyzing the Thematic Structure by a Scientometrics Approach by Mohammad Rahim Esfidani, Mohsen Nazari, Shahriar Gharibzadeh, Nakisa Rezaie

“…Based on the analysis, research gaps and opportunities for future studies were identified.   …”
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Impact of infill pattern and infill density on mechanical properties of FDM 3D printed parts: a review by Abdellah El omari, Aissa Ouballouch, Mohammed Nassraoui

“…A literature review is carried out based on the current researches that investigate FDM 3D printing process of polymer materials. The results show that infill percentage then layer thickness are the most influential process parameter on most of the material’s mechanical properties. …”
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Role of artificial intelligence in human resource management for optimizing employee productivity by Veshne Nupur, Jamnani Jyoti

“…Recruitments can be modernized by using catboats, predictive analysis helps in offering data-driven insights that can be used to find skill gaps and people management planning. AI’s advancements have made it easy to integrate AI with HRM for increasing efficiency, despite this a lot of ethical concerns, biases, and privacy issue makes it difficult to implement AI completely in the decision-making process. …”
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(Un)conventional ways of dialogic information retrieval using prompt engineering and the role of AI literacy by Monika Krakowska, Magdalena Zych

“…This study examines students’ use of ChatGPT for information retrieval and creative tasks, integrating AI literacy into library and information science (LIS) models and addressing gaps in AI-mediated processes and ethics. Method. …”
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A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning by Uday Debnath, Sungho Kim

“…Based on a review of 145 articles encompassing different methodologies, signal processing strategies, and deep learning algorithms, our study identifies existing research gaps and explores future research opportunities for real-world applications.…”
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Application of machine learning in early childhood development research: a scoping review by Akbar K Waljee, Amina Abubakar, Patrick N Mwangala, Faith Neema Benson, Daisy Chelangat, Willie Brink, Cheryl A Moyer

“…Supervised ML classifiers (40.7%) and DL techniques (22.2%) were the most used approaches. Cognitive development was the most frequently targeted outcome (33.3%), often measured using the Bayley Scales of Infant and Toddler Development-III (33.3%). …”
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Free-roaming dog populations and movement methodologies for global rabies elimination: knowns and unknowns – a scoping review by Laura Cunha Silva, Laura Cunha Silva, Constanza Fellenberg, Jerónimo Freudenthal, Harish Kumar Tiwari, Harish Kumar Tiwari, Harish Kumar Tiwari, Salome Dürr

“…Most FRD movement studies focused on home ranges, influenced by the technique and population size. …”
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Co-designing interventions with multiple stakeholders to address barriers and promote equitable access to HIV Pre-Exposure Prophylaxis (PrEP) in Black women in England by Flavien Coukan, Wezi Thamm, Fola Afolabi, Keitumetse-Kabelo Murray, Adam Pattison Rathbone, John Saunders, Christina Atchison, Helen Ward

“…It underscores the need for community education, healthcare system reforms, and the inclusion of Black women in decision-making processes to reduce PrEP equity gaps. The co-designed interventions provided a tailored, context-specific strategy that could improve PrEP uptake among Black women in England.…”
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Artificial intelligence in resuscitation: a scoping review by Drieda Zace, Federico Semeraro, Sebastian Schnaubelt, Jonathan Montomoli, Giuseppe Ristagno, Nino Fijačko, Lorenzo Gamberini, Elena G. Bignami, Robert Greif, Koenraad G. Monsieurs, Andrea Scapigliati

“…Machine learning was the most commonly used method (50% of studies), followed by deep learning and, less frequently, natural language processing. …”
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The diversity, dynamics, and culturability of bacterial and fungal communities present in warm-season pasture grass seeds by Rens R. T. van Essen, Rens R. T. van Essen, Jatinder Kaur, Jatinder Kaur, Tongda Li, Tongda Li, Ross C. Mann, Tim I. Sawbridge, Tim I. Sawbridge

“…Significant differences in drivers of bacterial and fungal communities within warm-season pasture grass seeds were observed. In addition, most of the bacteria present in high abundance were found to be culturable, while a relatively lower percentage of abundant fungi were culturable. …”
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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…However, challenges such as managing large volumes of data, addressing data gaps, and optimizing available data are key focuses in remote sensing research using automated machine learning models. …”
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Plant-Derived Exosomes: Carriers and Cargo of Natural Bioactive Compounds: Emerging Functions and Applications in Human Health by Sorur Yazdanpanah, Silvia Romano, Anna Valentino, Umberto Galderisi, Gianfranco Peluso, Anna Calarco

“…A key concern is the absence of unified procedures for processing materials and for obtaining PDEs from different botanical sources. …”
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Potential for circular economy in the construction sector. An explorative study about single-use masks and sustainable building material based on a customer and construction compan... by Daniela Ludin, Erika Mueller, Asli Ercengiz, Jannick Lumpp, Wanja Wellbrock

“…The systems imposed cause a great amount of negative environmental impact and must be re-examined. As most mask material is non-recyclable, one must find ways to use them sustainably. …”
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The Potential of Red Blood Cells in Regenerative Medicine: A Paradigm Shift in Cellular Therapy by Fábio Ramos Costa, Joseph Purita, Ansar Mahmood, Rubens Martins, Bruno Costa, Bruno Lima Rodrigues, Stephany Cares Huber, Gabriel Silva Santos, Luyddy Pires, Gabriel Azzini, André Kruel, José Fábio Lana

“…Future research should focus on optimizing RBC processing techniques and evaluating their impact on clinical applications. …”
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Artificial Intelligence (AI) in Neurofeedback Therapy Using Electroencephalography (EEG), Heart Rate Variability (HRV), and Galvanic Skin Response (GSR): A Review by Teddy Marcus Zakaria, Armein Zainal R. Langi, Muhamad Sophian Nazaruddin, Isa Anshori

“…The authors propose a novel approach to enhance the efficacy of neurofeedback therapy by integrating artificial intelligence with EEG, HRV, and GSR data, even though most of the content is derived from previous research. …”
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Modeling the functionalized genistein-hyoscyamine derivatives by Rana Abd-ElSalam, Nada A. Khaled, Medhat A. Ibrahim

“…In attempts to model the most chemically favorable and experimentally achievable composite structures we thoroughly studied the parent molecules employing various DFT descriptors, selected electronic and thermodynamic parameters that help foresee and assess the structures’ behavior and stability in various conditions that are common during food processing. …”
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Does social media involvement matter? A scoping review of memorable tourism experience on local food by Sartika, Andriani Kusumawati, Anni Rahimah, Yusri Abdillah

“…It evaluates previous studies in this area, highlights existing gaps and limitations, and proposes avenues for further research to enrich knowledge in the field. …”
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Multicomponent approach reveals differences in affective responses among children and adolescents by Kseniia Konopkina, Hilla Hirvaskoski, Jari K. Hietanen, Heini Saarimäki

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Determining Factors for Minimizing Oven Downtime through Controlled Batch Management: A Multineutrosophic Approach with ARAS by Shakila Devi G.T., Sangeetha S., Maikel Yelandi Leyva Vazquez

“…This study addresses a critical operational challenge in the baking industry: minimizing oven downtime through effective batch processing control. This study assesses which factors are the most critical contributors to minimizing downtime on batch processing operations to hypothesize efficiencies. …”
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Bibliometric Analysis Of Islamic Letters Of Credit by Siti Fatimah Azzahro, Aufa Aufa, Indra Indra

“…This research shows that most of the most productive writers come from Malaysia and Turkey. …”
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