Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

“…In the study framework, the VOSviewer 1.6.18 tools allowed the detection of six clusters of research streams: renewable resources, sustainable development, public, energy policy, energy efficiency, and solar energy. …”
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HMG Box-containing Protein 1 (HBP1) Protects Against Pancreatic Injury in Acute Pancreatitis but Promotes Neoplastic ProgressionSummary by Seung-Won Lee, Taelor Ekstrom, Elise C. Manalo, Shangyuan Ye, Mark Berry, Dmytro Grygoryev, Malwina Szczepaniak, Jinho Lee, Carlos Origel Marmolejo, Syber Haverlack, Juyoung Lee, Vidhi M. Shah, Dove Keith, John L. Muschler, Koei Chin, Rosalie C. Sears, Stuart P. Weisberg, Terry Morgan, Jungsun Kim

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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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The influence of shot noise on the performance of phase singularity-based refractometric sensors by Maslova Valeria, Ermolaev Georgy, Andrianov Evgeny S., Arsenin Aleksey V., Volkov Valentyn S., Baranov Denis G.

“…This raises a natural question: What happens with the sensitivity and resolution of such a sensor when it operates close to a zero of the response function, where the detected signal may be greatly influenced by various noise sources? …”
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Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

“…Abstract Background Spodiopogon sagittifolius, a C4 plant closely related to cultivated crops, is an edible resource and a Class II nationally protected species in China. …”
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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

“…Early Lung Cancer (LC) detection is essential for reducing the global mortality rate. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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Platinum-Induced Ototoxicity in Pediatric Cancer Patients: A Comprehensive Approach to Monitoring Strategies, Management Interventions, and Future Directions by Antonio Ruggiero, Alberto Romano, Palma Maurizi, Dario Talloa, Fernando Fuccillo, Stefano Mastrangelo, Giorgio Attinà

“…This approach addresses critical gaps in current practice while acknowledging resource limitations across diverse healthcare environments.…”
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Discovery of Genomic Targets and Therapeutic Candidates for Liver Cancer Using Single-Cell RNA Sequencing and Molecular Docking by Biplab Biswas, Masahiro Sugimoto, Md. Aminul Hoque

“…This study aims to uncover key genomic features, analyze their functional roles, and propose potential therapeutic drugs identified through molecular docking, utilizing single-cell RNA sequencing (scRNA-seq) data from liver cancer studies. …”
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Ethics of Sensor-Based Surveillance of People with Dementia in Clinical Practice by Jacob Lahr, Nicole Schulze, Larissa N. Wüst, Claus Beisbart, Lena C. Bruhin, Marcello Ienca, Tobias Nef, Manuel Trachsel, Stefan Klöppel

“…The level of privacy intrusion to detect occurring falls varies widely between different sensor systems. …”
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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

“…This study introduces a novel approach for detecting mental workload and stress, utilizing ECG and Fingertip-PPG data from the MAUS dataset. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

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An atypical presentation of autoimmune hepatitis with delayed menarche in a Nigerian adolescent: a case report by Promise Udoka Asogwa, Bruno Basil, Winifred Njideka Adiri, Nelson Ugwu, Gideon Ekene Anigbo, Evaristus Offia, Casmir Orjioke

“…It emphasizes the need for increased awareness and better diagnostic resources to improve early detection and management of autoimmune hepatitis in sub-Saharan Africa. …”
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Proteinuria Ratio and Related Factors İn Type 2 DM Patients: A Hospital-Based Study in Somalia by Gökhan Alıcı, Ahmed Muhammad Bashir

“…Understanding these factors is crucial for early detection and intervention to prevent kidney damage in this population. …”
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Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

“…This model employs TTHHO to effectively navigate the search space and adaptively optimize network node positions, integrates CNN-LSSVM for feature extraction and regression analysis, and incorporates ABKDE for probability density function estimation and outlier detection, resulting in accurate interval probability prediction and enhanced model resilience to interference. …”
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Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning by Junlong Ma, Heng Chen, Ji Sun, Juanjuan Huang, Gefei He, Guoping Yang

“…Electronic medical records contain comprehensive clinical information and have gained increasing attention as a potential resource for DDI detection. However, a substantial portion of adverse drug reaction (ADR) information is hidden in unstructured narrative text, which has yet to be efficiently harnessed, thereby introducing bias into the research. …”
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Performance of the National Tuberculosis Control Program in the post conflict Liberia. by Kassaye Tekie Desta, T E Masango, Zerish Zethu Nkosi

“…For the performance of tuberculosis laboratory testing, all the 107 functional tuberculosis microscopy centers in Liberia were included. …”
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Diagnosing skin neglected tropical diseases with the aid of digital health tools: A scoping review. by Ewelina Julia Barnowska, Anil Fastenau, Srilekha Penna, Ann-Kristin Bonkass, Sophie Stuetzle, Ricky Janssen

“…Recent developments in digital health have given rise to approaches that could increase access to diagnosis in resource-poor areas affected by skin NTDs. This scoping review provides an overview of current digital health approaches that aim to aid in the diagnosis of skin NTDs and provides an insight into the diverse functionalities of current digital health tools, their feasibility, usability, and the current gaps in research around these digital health approaches. …”
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Assessing the Impact of Covid19-Pandemic on the Household Income in Kamuganguzi Sub-County Kabale District. by Arinda, Redeemer Present

“…Additionally, the government should establish a physical and automated platform for coordination and resource mobilization to support poor students and the most vulnerable groups affected by COVID-19-related lockdowns.…”
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A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

“…Analyzing a parent sample of 48,932 objects selected from about half a million AGNs, we have identified 28 candidate periodic AGNs with periods ranging from 1268 to 2437 days (in the observer frame), by fitting their WISE light curves with sinusoidal functions. However, our mock simulation of the parent sample indicates that stochastic variability can actually produce a similar number of periodic sources, underscoring the difficulty in robustly identifying real periodic signals with WISE light curves, given their current sampling. …”
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