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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The application of machine learning in predicting post-cardiac surgery acute kidney injury in pediatric patients: a systematic review by Sxe Chang Cheong, Shing Lok So, Alexander Lal, Jan Coveliers-Munzi

“…Titles, abstracts, and full texts were screened for eligibility. Data on study characteristics and best-performing ML models' AUROC, sensitivity, and specificity were extracted. …”
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A critical evaluation of available explicit deprescribing tools for their applicability to Indian elderly patients: a scoping review protocol by Ajay Kumar Shukla, Ratinder Jhaj, Shubham Atal, Anindo Majumdar, Mahadev Meena, Sandeep Tiwari, Bushra Siddiqui, Jerin Jose Cherian, Atiya R. Faruqui, Sowparnika Treasa Sabu

“…The primary objective of this scoping review is mapping of the contextual relevance and applicability of the existing explicit deprescribing tools for elderly population in Indian healthcare settings. …”
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Monitoring Land Cover Dynamics and Forest Degradation in South Sumatra Peatlands from 2015 to 2023 by Remote Sensing Application by Khakim Mokhamad Yusup Nur, Bama Akhmad Aminudin, Tsuji Takeshi

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What influences consumer food waste behaviour when ordering food online? An application of the extended theory of planned behaviour by Charlene Li, Phil Bremer, Tim Jowett, Michael S. W. Lee, Kate Parker, Evamaria C. Gaugler, Miranda Mirosa

“…An online survey provided quantitative data from 520 participants representatively distributed in age and gender from 7 cities geographically spread across China. …”
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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…Ultra-Massive Multiple Input Multiple Output (UM-MIMO) systems are pivotal for 6G wireless networks, enabling unprecedented data rates and spectral efficiency. However, optimizing these systems requires a careful balance between energy efficiency, spectral efficiency, and Bit Error Rate (BER) performance. …”
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The Types and Effectiveness of Mobile Health Applications Used in Improving Oral Cancer Knowledge: A Mixed Methods Systematic Review by Kehinde Kazeem Kanmodi, Afeez Abolarinwa Salami, Kamini Shah, Fatemeh Vida Zohoori, Lawrence Achilles Nnyanzi

“…ABSTRACT Background and Aims The global burden of oral cancer (OC) is enormous. Mobile health applications have been found to play a promising role in cancer prevention; however, no known systematic review evidence exists on whether the use of mobile health applications is effective in increasing public knowledge of OC or not. …”
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Exploring the application of ChatGPT in ESL/EFL education and related research issues: a systematic review of empirical studies by Chung Kwan Lo, Philip Leung Ho Yu, Simin Xu, Davy Tsz Kit Ng, Morris Siu-yung Jong

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Effect of Ni doping on the properties of Ca(OH)2 nanoparticles and its application in toxic methylene blue dye removal by Akash, Pushpendra Kumar, Vipin Kumar, Ashok Kumar Sharma, Anoop Kumar Mukhopadhyay

“…Further, the effect of Ni doping was observed in surface morphology and thermogravimetric data. The changes in the properties of Ni-CHNPs with varying concentrations of Ni were discussed in terms of the interaction between Ni and CHNPs. …”
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Application of Compost and Manure in the Biopore Infiltration Hole to Improve Saturated Hydraulic Conductivity (Shc) of Soil in the Coffee Root Zone by Lailatul Fitria, Kurniawan Sigit Wicaksono, Soemarno Soemarno

“…The treatments were P1 as control (without BIH), P2 (BIH without compost), P3 (BIH+compost), and P4 (BIH+goat manure). Data analysis was carried out using the Ftest (ANOVA), and continued with Least Significant Difference (LSD) test at 5% level, when there was a significant difference. …”
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Research and Application of Intelligent Monitoring System Platform for Safety Risk and Risk Investigation in Urban Rail Transit Engineering Construction by Yong Wu, Liang-Yun Zhao, Ye-Xiang Jiang, Wei Li, Ye-Sheng Wang, Huan Zhao, Wei Wu, Xiong-Jian Zhang

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Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome. by Tz-Ping Gau, Jen-Hung Wen, I-Wei Lu, Pei-Yu Huang, Yao-Chang Lee, Wei-Po Lee, Hsiang-Chun Lee

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Application of the Unified Theory of Acceptance and Use of Augmented Reality Technology in the Development and Promotion Sports with the Moderating Role of Consumer Inertia by Alireza Nazemi Bidgoli, Samaneh Alipour, Zahra Sadeqi-Arani

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Evaluation and Further Development of the B2B Startup Experimentation Framework: Application in B2C E-Commerce by Carsten H. Hahn, Vili Sotirova, Patrick Brecht, Anja Ströbele

“…The study’s originality lies in assessing the B-SEF’s suitability in the B2C context and providing a tool for its application to conduct business experiments comprehensively and successfully, especially regarding documentation and data collection. …”
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