Application of Distributionally Robust Optimization Markov Decision-Making Under Uncertainty in Scheduling of Multi-category Emergency Medical Materials by Zhizhen Liang, Xiaojia Wang, Sheng Xu, Wei Chen

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Differences in Students' Thinking Skills in Making Decisions Through Online Learning Based on Google Classroom Applications on Ecosystem Materials by Nilawati Nilawati, Dewi Cahyani

“…The purpose of this study is to describe the online learning process based on the google classroom application for ecosystem materials and describe the differences in decision-making skills between male and female students through online learning based on the google classroom application for ecosystem materials. …”
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An Internet of Things infrastructure for gait characterization in assisted living environments and its application in the discovery of associations between frailty and cognition by Iván González, Fco Javier Navarro, Jesús Fontecha, Luis Cabañero-Gómez, Ramón Hervás

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A New Extention of the Odd Inverse Weibull-G Family of Distributions: Bayesian and Non-Bayesian Estimation with Engineering Applications by Yassmen Y. Abdelall, Amal Soliman Hassan, Ehab M. Almetwally

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The Application of Solution-Focused Brief Therapy (SFBT) in Islamic Counseling to Address Psychological Crises in Young Mothers After Divorce by Puji Rahayu, Nurjannah Nurjannah, Adrian Perkasa

“…A case study method was employed, involving five counseling sessions. Data were collected through interviews, observations, and counseling notes, and were analyzed thematically. …”
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Analysis of plant physiological responses based on leaf color changes through the development and application of a wireless plant sensor by Kaori Kohzuma, Ko-ichiro Miyamoto

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Artificial intelligence and pharmacy education: a survey to assess the knowledge, application, and perspective of B. Pharm. students from India by V. U Risana, Asheekha Shirin, Rukhiya Naduvile Purayil, Sandra Rose Mathew, Sauparnika Soman, C. Sarath Chandran, S. S. Kiron

“…Abstract This study aimed to understand the knowledge, application, and perspective of B. Pharm students regarding artificial intelligence (AI) tools. …”
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Image-based food monitoring and dietary management for patients living with diabetes: a scoping review of calorie counting applications by Asal Rouhafzay, Asal Rouhafzay, Ghazal Rouhafzay, Jalila Jbilou, Jalila Jbilou

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Application of chemotherapy combined with immunotherapy in first-line treatment of advanced esophageal cancer: fluorouracil or paclitaxel? – a meta-analysis by Xiaochen Chen, Xiaochen Chen, Huiping Yan, Hongyang Zhao, Pengfei Zhu

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Endophytic Bacterial Community Structure and Function Response of BLB Rice Leaves After Foliar Application of Cu-Ag Nanoparticles by Weimin Ning, Mingxuan Li, Lei Jiang, Mei Yang, Maoyan Liu, Yong Liu

“…Nanoparticle–antimicrobial compounds possess excellent physicochemical properties, which have generated groundbreaking applications in protecting rice against BLB attacks. …”
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Design and application of human-computer interaction visual communication platform for Guandong culture by integrating RF and light GBM algorithm by Qiao Wu, Ying Jin

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Psychometric Analysis of Items Evaluating Health Belief Model Constructs in Social Media Posts: Application of Rasch Measurement Model by Xiaofeng Jia, Soyeon Ahn

“…While prior research has explored HBM constructs in health messages, most studies have collected the survey data with items lacking robust psychometric evidence, particularly in evaluating social media posts. …”
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Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning by Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, Imran Baig

“…Electric autonomous vehicles will require more data, computing resources, and communication capabilities to support them. …”
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Analytical framework to evaluate and optimize the use of imperfect diagnostics to inform outbreak response: Application to the 2017 plague epidemic in Madagascar. by Quirine Ten Bosch, Voahangy Andrianaivoarimanana, Beza Ramasindrazana, Guillain Mikaty, Rado J L Rakotonanahary, Birgit Nikolay, Soloandry Rahajandraibe, Maxence Feher, Quentin Grassin, Juliette Paireau, Soanandrasana Rahelinirina, Rindra Randremanana, Feno Rakotoarimanana, Marie Melocco, Voahangy Rasolofo, Javier Pizarro-Cerdá, Anne-Sophie Le Guern, Eric Bertherat, Maherisoa Ratsitorahina, André Spiegel, Laurence Baril, Minoarisoa Rajerison, Simon Cauchemez

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A Novel Fluorescent Chemosensor Based on Rhodamine Schiff Base: Synthesis, Photophysical, Computational and Bioimaging Application in Live Cells by Oyedoyin Aduroja, Roosevelt Shaw, Sisay Uota, Isaac Abiye, James Wachira, Fasil Abebe

“…DFT calculations and job plot data supported the 2:1 complex formation between <b>RdN</b> and Pb²⁺/Cu²⁺. …”
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Applications of Machine Learning (ML) in the context of marketing: a bibliometric approach [version 2; peer review: 2 approved] by Erica Agudelo-Ceballos, Ezequiel Martínez Rojas, Sebastián Cardona-Acevedo, Carlos Flores Goycochea, Juana De La Cruz Ramírez Dávila, Diana Arango-Botero, Jesus Alberto Jimenez Garcia, Alejandro Valencia-Arias

“…Abstract Currently, machine learning applications in marketing allow to optimize strategies, personalize experiences and improve decision making. …”
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Decision-Making Techniques Based on q-Rung Orthopair Probabilistic Hesitant Fuzzy Information: Application in Supply Chain Financing by Shahzaib Ashraf, Noor Rehman, Muhammad Naeem, Sumayya Gul, Bushra Batool, Shamsullah Zaland

“…The results indicate that the proposed techniques are applicable and effective to cope with ambiguous data in decision-making challenges.…”
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Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strength of Soft Sedimentary Rocks at Thar Coalfield by Niaz Muhammad Shahani, Muhammad Kamran, Xigui Zheng, Cancan Liu, Xiaowei Guo

“…The uniaxial compressive strength (UCS) of rock is one of the essential data in engineering planning and design. Correctly testing UCS of rock to ensure its accuracy and authenticity is a prerequisite for assuring the design of any rock engineering project. …”
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Feasibility study on the application of HD-sEMG-based force estimation technology in the assessment of hand dysfunction in cerebral palsy by Xinlu Zhang, Kun Wang, De Wu, Xu Zhang, Xiang Chen

“…IntroductionIn response to the demand for a quantifiable means for assessing hand dysfunction in cerebral palsy (CP), this paper proposed and conducted a novel high-density (HD)-surface electromyography (sEMG)-based muscle force estimation framework.Methods and ResultsA highly generalized source network was developed firstly based on long short-term memory (LSTM) networks and three different healthy adult HD-sEMG-force datasets, achieving a root mean square error (RMSE) of 6.31% in force estimation across various force modes; Then, transfer learning techniques were applied to fine tune the well-trained source network using data from healthy children, establishing five gesture-specific target networks that achieved RMSE below 10% in force estimation tasks independent of the subjects; Finally, a muscle force estimation experiment was conducted on 16 children with CP using the gesture-specific target networks.ConclusionBy comparing and analyzing the experimental results of CP group and healthy control group, CP children with different grades of Manual Ability Classification System (MACS), and CP children with different types of symptoms, it was verified that the abnormal EMG-force relationship obtained using the proposed muscle force estimation scheme had the potential for clinical application in the assessment of CP hand dysfunction. …”
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IoT-Driven Intelligent Energy Management: Leveraging Smart Monitoring Applications and Artificial Neural Networks (ANN) for Sustainable Practices by Azza Mohamed, Ibrahim Ismail, Mohammed AlDaraawi

“…While both IoT and ANN technologies have been investigated separately in previous research, the uniqueness of this work is the actual integration of both technologies into a real-time, user-adaptive framework. The application allows for continuous energy monitoring via modern IoT devices and wireless sensor networks, while ANN-based prediction models evaluate consumption data to dynamically optimize energy use and reduce environmental effect. …”
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