Pemilihan Strategi Implementasi Kesehatan Digital Pada Kelompok Pengambil Keputusan Menggunakan Metode Vikor by Sri Kusumadewi, Rahadian Kurniawan

“… Penelitian ini bertujuan untuk memilih strategi implementasi kesehatan digital dengan menggunakan Multi-Attribute Decision Making (MADM). Penelitian diawali dengan melakukan pilot studi di Kelurahan Tirto Rahayu, Galur, Kulon Progo yang sudah terbukti sukses dalam implementasi kesehatan digital. …”
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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…Untuk mengatasi masalah tersebut, klasifikasi intensi dan NER dapat digabungkan dengan menggunakan mekanisme multi-task learning dalam bentuk model Dual Intent and Entity Transformer (DIET). …”
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Implementasi Internet Of Things Pada Sistem Ketersediaan Ruang Parkir Gedung Bertingkat Menggunakan NRF24L01 dan HC-SR04 by Angga Sukma Bahari, Rakhmadhany Primananda, Mochammad Hannats Hanafi Ichsan, Mahardeka Tri Ananta

“…Abstract One of the problems with the system in multi-storey parking buildings is that it is difficult to find an empty parking space. …”
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Review and Prospect of Research on Urban Walking Safety and Environmental Influencing Factors Thereof by Lin LI, Yu YE, Yong CHEN

“…Research methods have also been developed from single-specialty technical analysis to multi-dimensional integrated research, which promotes the comprehensive application of research methods from such fields as environmental psychology, traffic safety and road engineering in the research on walking safety.ConclusionThis research reveals the development direction, main context and research hotspots on walking safety and environmental influencing factors thereof, highlights the significant influence of multi-level built environment factors on walking safety and walkers' safety perception, and provides theoretical support for empirical researches on walking safety environment. …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…The meta-heuristic algorithms employed for fine-tuning the ANN's weight and bias parameters include the Genetic Algorithm (GA), Multi-Verse Optimizer (MVO), Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Advanced Grey Wolf Optimizer (AGWO), Biogeography-Based Optimization (BBO), and Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO). …”
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Invisible Scout: A Layer 2 Anomaly System for Detecting Rogue Access Point (RAP) by Diki Arisandi, Nazrul M. Ahmad, Subarmaniam Kannan

“…To address this issue, this research has proposed an innovative mechanism called Invisible Scout, which uses a multi-module system to identify RAPs. This study aimed to develop and validate a mechanism capable of accurately detecting RAPs in controlled setups, real-world environments, and under de-authentication attack scenarios. …”
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Assessment of Medication Use by Publics in Sulaimani Province by Kamal Aziz Enayat, Mariwan Abdulla Hama Salih, Muhammed Babakir-Mina

“…Drug uses is a multi-step process starting from consulting doctor, prescribing, ordering and using via individual either public or healthcare staff for therapeutic reasons. …”
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A prospective study on association between comprehensive lifestyle scores and cognitive function changes in community-dwelling older adults in Tianjin city by Muya ZHANG, Xian CAI, Liping ZU, Huichao ZHAO, Tianyu WANG, Chenyu LI, Jing YUAN, Fei MA

“…From March to April 2016, eldly adults aged 65 years and above were recruited as research subjects in Tianjin through multi-stage cluster random sampling. Baseline data collection included basic demographic characteristics, lifestyle habits, and health status. …”
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Effects of orally exposed SiO2 nanoparticles on lipid profiles in gut-liver axis of mice by Kuanhang Li, Zhengzheng Zhou, Yi Cao

“…Recently we proposed the possibility of orally exposed nanoparticles (NPs) to alter metabolite homeostasis by changing metabolism pathways, in addition to intestinal damages, but relatively few studies investigated the changes of metabolite profiles in multi-organs. This study investigated the influences of orally exposed SiO2 NPs on lipid profiles in gut-liver axis. …”
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Scaling to new heights: methodological insights for uplifting research on grassroots digital innovation by Paolo Gerli, Fabio Neves da Rocha, Luca Mora

“…Our discussion focuses on three major methodological and conceptual limitations: a tendency towards theory-devoid empiricism, a bias towards successful cases, and a dearth of longitudinal, multi-site analyses. We discuss the causes of each shortcoming and illustrate how they impact both the theoretical and practical development of GDIs. …”
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Steganography in Game Actions by Ching-Chun Chang, Isao Echizen

“…The interactions of agents are governed by the framework of multi-agent reinforcement learning and shaped by feedback from the observer. …”
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Exploring integrated approaches for optimal well placement: a compelling case study of the Sarvak carbonate reservoir within an Iranian oilfield by Vali Mehdipour, Ahmad Reza Rabbani, Ali Kadkhodaie, David A. Wood

“…Six facies were determined based on multi-resolution graph-based clustering (MRGC) method. …”
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Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

“…The model simultaneously integrates positional encoding and multi-head self-attention mechanisms with the objective of enhancing the accuracy of travel time predictions based on a substantial number of trajectory points in wilderness settings. …”
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Digital twin as a tool of the real-time enterprise management mechanism by Oleksandr Bazyk, Tetiana Grynko

“…The paper examines the theoretical and practical aspects of the implementation of digital doubles, including their role in increasing the efficiency of resource use, risk management, and the development of new business models. Theoretical Implications. The value of the research lies in the development of a new concept of creating digital duplicates of enterprises based on a holistic approach based on the unification of the accounting of all enterprise assets and their presentation in the form of a multi-layered multigraph. …”
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A nucleoside-modified mRNA vaccine prevents enterovirus A71 infection in mouse model by Fengyu Chi, Fengyu Chi, Xu Zhang, Xu Zhang, Dong Zhang, Dong Zhang, Airu Zhu, Zhen Zhuang, Zhaoyong Zhang, Zhenjie Zhang, Chuansong Quan, Kaixiao Nie, Juan Li, Chunhong Yin, Jie Tong, Yuming Li, Yuming Li, Yuming Li

“…IntroductionHuman Enterovirus A71 (EV-A71) is the primary pathogen responsible for severe hand, foot, and mouth disease (HFMD). Vaccination plays a crucial role in controlling its spread. …”
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Validation of the Italian version of the intuitive exercise scale: a four-factor structure in the general population by Paolo Mancin, Marta Ghisi, Tatiana Moro, Silvia Cerea

“…The sample was randomly split in two equal halves for the Exploratory Factor Analysis (n = 570; women: 50%; physically active: 61.8%) and the Confirmatory Factor Analysis (n = 570; women: 50%; physically active: 61.8%). Multi-group confirmatory factor analyses were performed to assess invariance among women and men and physically and non-physically active individuals. …”
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Insecticide-treated bed nets (ITN) ownership and utilization patterns among caregivers with children under five years: A community-based cross-sectional study in Battor, North Tong... by Emmanuel Abu Bonsra, Petra Amankwah Osei, Akua Grace Sekyi, Gideon Amankwah Kyere

“…A cross-sectional design was employed, utilizing a multi-stage sampling to collect quantitative data from 211 caregivers. …”
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Anti-motilities and anti-biofilm effects of Ageratum conyzoides L. methanol extract by Eli Compaoré, Moussa Compaoré, Vincent Ouédraogo, Ablassé Rouamba, Alimata Bancé, Mignini R. Dofini, Martin Kiendrebeogo

“…Ageratum conyzoides is one of the antimicrobial medicinal plants that is being used to fight various multi-resistant pathogenic bacteria in Burkina Faso. …”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

“…The experimental results demonstrate that the DFD ensemble learning-based software defect prediction model outperforms the ten other models, including five common machine learning (ML) classification algorithms (logistic regression (LR), naïve Bayes (NB), K-nearest neighbor (KNN), decision tree (DT), and support vector machine (SVM)), two deep learning (DL) algorithms (multi-layer perceptron (MLP) and convolutional neural network (CNN)), and three ensemble learning algorithms (random forest (RF), extreme gradient boosting (XGB), and stacking). …”
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Correlates of oral health-related quality of life in a sample of patients with rheumatoid arthritis by Fatemeh Babadi, Atefeh Hasanzadeh, Mehdi Aghajari, Mahmood Karimy, Marzieh Araban

“…Clinicians should develop multi-faceted care including oral health, dental health, general health and quality of life in addition to medical care for RA.…”
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