An intelligent soft computing model for predicting the thermal behavior of blood-based trihybrid nanofluids flow in biomedical drug delivery applications by Muhammad Wajahat Anjum, Sana Ullah Saqib, Yin-Tzer Shih, Ines Hilali Jaghdam, Nidhal Becheikh, Lioua Kolsi

“…In biological studies, nanofluids play a crucial role in targeted drug delivery to specific parts of the human body, cancer treatment via hyperthermia, and other applications. …”
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Numerical investigation of oscillating jet film cooling on a flat plate for enhanced thermal management in high-temperature turbine applications by Abdalazeem Adam, Weifeng He, Pengfei Su, Dong Han, Chen Wang, Shuo Dai, Omer Musa

“…Utilizing the Eulerian-Lagrangian method, the study presents quantitative findings based on varying cooling inlet velocities. …”
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Reducing peak thermo-electricity energy demand in building: Insights from sensible and latent storage – Applicable in hot and arid regions by Wajdi Rajhi, Noreen Izza Arshad, Naoufel Kraiem, Ahmed Mir, Lioua Kolsi, Ahmad H. Milyani, Mohammed N. Ajour, Hesham A. Alhumade, Aliakbar Karimipour

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Optimizing microchannel heat sinks with rhomboid vortex generators: An artificial neural network approach and its application in superconducting synchronous condensers by Jiacheng Zhang, Baojun Ge, Jiancheng Zhang, Shiyong Xiao, Abdullah Saeed, Khalid Faisal, Eli Murphy, Karthikeyan Ramanathan

“…Microchannel heat sinks (MCHSs) have demonstrated their significance in various industrial applications due to their efficient cooling capabilities. …”
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Enhancing energy efficiency of industrial boiler application by the integration of ground-source heat pumps and photovoltaic-thermal solar water collectors by Praveen Barmavatu, Baburao Gaddala, Sharun Mendonca, Sonali Anant Deshmukh, Marco Rosales-Vera, Hussein Togun, Ramalinga Viswanathan Mangalaraja, Vineet Singh Sikarwar

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Innovative pipe profile configurations for fast charging of phase change material in compact thermal storage systems for building heating applications by Mohamed Ahmed Said, Hakim S. Sultan Aljibori, Azher M. Abed, Hussein Togun, Hayder Ibrahim Mohammed, Jasim M. Mahdi, Alireza Rahbari, Abdellatif M. Sadeq, Pouyan Talebizadehsardari

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THERAPEUTIC USE OF LAVENDER OIL by D. Popova-Dobreva

“…RESULTS 501 scientific studies with Lavender oil were found in the medical database PubMed. …”
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Reevaluating the therapeutic role of extended lymph node dissection in the era of robot-assisted radical prostatectomy by Atsuro Sawada, Koshiro Nishimoto, Shusuke Akamatsu, Masashi Kubota, Takayuki Sumiyoshi, Ryoichi Saito, Ryoma Kurahashi, Yuya Sekine, Hiromitsu Negoro, Yusuke Shiraishi, Ryo Iguchi, Masakazu Nakashima, Kazuki Kokura, Hiroshi Iwamura, Naoki Kohei, Kimihiro Shimatani, Toshiyuki Kamoto, Takashi Kobayashi, Takayuki Goto, Daimonji Clinical Application Database (Dai-CAD) study group

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The Impact of Self Reminder Interactive (SRI) Application on Quality of Life, Compliance of anti-TB Drug, and Self Efficacy Among TB Patients by Sriningsih Sriningsih, Fery Agusman Motuho Mendrofa, Sonhaji Sonhaji

“…The independent variables of this study were SRI application implementation, then the dependent variables included quality of life, self-efficacy, and anti-TB drug adherence.  …”
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The Influence of UI Design Attributes and Users’ Uncertainty Avoidance on Stickiness of the Young Elderly Toward mHealth Applications by Zibin Chen, Jaehwan Lee

“…This study examines how two UI design attributes (usability and aesthetics) and individual uncertainty avoidance (from Hofstede’s cultural dimensions) influence elderly users’ stickiness to mHealth applications. …”
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Feasibility study of FFPP thermoplastic lining for concrete pipeline rehabilitation: a case study by Dongmin Xi, Yonggui Yan, Kebing Shi, Houming Ni, Mohammadamin Azimi

“…Abstract This study investigates the feasibility and efficacy of Flexible Fiber-reinforced Polypropylene (FFPP) thermoplastic lining technology for the rehabilitation of concrete pipelines, specifically focusing on BONNA pipes. …”
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Empirical Assessment of AI-Powered Tools for Vocabulary Acquisition in EFL Instruction by Yiyun Wang, Jin Wu, Fang Chen, Zhu Wang, Jingjing Li, Liping Wang

“…The study reveals the benefits of AI in the instruction of English vocabulary, utilizing the Apriori algorithm from association rule mining and empirical analysis from survey data of 110 second-year university students across four different majors using AI-powered language learning platforms and AI-powered mobile language learning applications (such as UNIPUS AIGC platform and iTEST, intelligent assessment mobile application). …”
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Peculiarities of the application of the knowledge of mathematics in real-life situations and solving problems in case of senior form students having moderate special needs by Laima Tomėnienė

“… The article deals with the peculiarities of the application of the knowledge of mathematics in real life situations of students with moderate special needs who study in senior forms of mainstream schools. …”
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Utility of Certain AI Models in Climate-Induced Disasters by Ritusnata Mishra, Sanjeev Kumar, Himangshu Sarkar, Chandra Shekhar Prasad Ojha

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ANALYSIS OF THE DEVELOPMENT OF VIRTUAL FAN COMMUNITIES MEDIA SPACES by A. N. Timokhovich, O. I. Nikuradze

“…The article gives an analysis of the media environment and media spaces of South Korea’s fan communities on the example of the South Korean case of the development of the fandom media space in the format of the Weverse mobile application. The study considers the techniques of interaction with the audience in the offline interaction limitations. …”
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Economic and Environmental Effects of Farmers’ Green Production Behaviors: Evidence from Major Rice-Producing Areas in Jiangxi Province, China by Mengling Zhang, Li Zhou, Yuhan Zhang, Wangyue Zhou

“…This paper utilizes survey data from 1345 farm households in the main rice production areas of Jiangxi Province, China, using the example of reduced fertilizer application (RFA) among rice farmers. This study constructs a slack-based measure data envelopment analysis (DEA—SBM) model with undesirable outputs to measure environmental effects and applies an endogenous switching regression model (ESRM) to test the economic and environmental effects of farmers’ adoption of green production technologies. …”
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Mobile Application and Machine Learning-Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors by Huaiyan Jiang, Han Wang, Ting Pan, Yuhang Liu, Peiguang Jing, Yu Liu

“…Among the various biomarkers, glycated hemoglobin (HbA1c) is a crucial indicator for monitoring long-term blood glucose levels and assessing diabetes progression. This study introduces an innovative approach to diabetes management by integrating a mobile application and machine learning. …”
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Monte Carlo simulation and performance assessment of GE Discovery 690 VCT positron emission tomography/computed tomography scanner by Elham Kashian, Hadi Ahangari, Vahab Dehlaghi, Karim Khoshgard, Pardis Ghafarian, Raheb Ghorbani

“…The aim of this study is to simulate GE Discovery 690 VCT positron emission tomography/computed tomography (PET/CT) scanner using Geant4 Application for Tomographic Emission (GATE) simulation package (version 8). …”
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A Systematic Approach to Evaluate the Use of Chatbots in Educational Contexts: Learning Gains, Engagements and Perceptions by Wei Qiu, Chit Lin Su, Nurabidah Binti Jamil, Maung Thway, Samuel Soo Hwee Ng, Lei Zhang, Fun Siong Lim, Joel Weijia Lai

“…We demonstrate its application through a multi-week, quasi-experimental study using a Socratic-style chatbot designed with pedagogical intent. …”
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The effect of education using the interactive avatar application on self-care and the ability to identify and respond to the symptoms of heart attack in patients with acute coronar... by Nahid Keivanlou, Faezeh Babaieasl, Jamshid Jamali, Saeedeh Baghyari, Zahra Dalir, Nayyereh Davoudi

“…Abstract Background This study aimed to assess the effectiveness of an interactive avatar application in enhancing self-care behaviors and improving recognition and response to heart attack symptoms among patients with Acute Coronary Syndrome (ACS). …”
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