Composite cardiac computed tomography angiography score for improved risk assessment in chronic coronary syndromes by Subin Lee, Alexander Giesen, Dimitrios Mouselimis, Loris Weichsel, Andreas A. Giannopoulos, Max Nunninger, Matthias Renker, Florian André, Norbert Frey, Grigorios Korosoglou

“…Abstract Agatston score, the degree of lumen narrowing categorized by CAD-RADS, high-risk atherosclerotic plaque features and pericoronary adipose tissue attenuation (PCAT) are parameters, which can be assessed non-invasively by coronary computed tomography angiography (CCTA) and aid risk stratification in patients with chronic coronary syndromes (CCS). …”
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The epidemiology of malaria in four districts in southern Mozambique receiving indoor residual spray as part of a cross-border initiative by Rajendra Maharaj, Nada Abdelatif, Mara Maquina, Ishen Seocharan, Vishan Lakan, Krijn Paaijmans, Francois Maartens, Pedro Aide, Francisco Sauté

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A Qualitative analysis of code-switching and language vitality in amazigh communities by ilham BAAZIZ, Ali FALLOUS, Hafida ELAMRANI

“…Les informations ont été recueillies au moyen d'entretiens semi-structurés, puis analysées à l'aide du logiciel NVivo pour identifier les types les plus importants de changement de code et les facteurs socioculturels et économiques régissant les choix linguistiques. …”
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Pharmacognostic analysis and antimalarial evaluation of quercetin in Ilex umbellulata bark using HPTLC, in vitro screening, molecular docking, and network pharmacology by James H. Zothantluanga, Dipak Chetia, Yasangam Umbon, T. C. Lalhriatpuii, Dhritiman Roy, Nidahun Lamare, Salem Lalvenhimi

“…Conclusions The pharmacognostic parameters of I. umbellulata bark may be used as quality control parameters to aid in identification and authentication and to prevent adulteration. …”
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Towards Meaningful Interpretation of Molecular Data: Insights Gained from HMMD Challenges in <i>Salmonella</i> Detection for Future NGS Integration in Clinical Microbiology by Hyunji Kim, Soo Hyun Seo, Jae-Seok Kim, Kwang Jun Lee, Kyoung Un Park

“…Introducing an “indeterminate” category, especially for cases with low MFI values, could aid clinicians in integrating molecular results with patient context. …”
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MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification by Mehdhar S. A. M. Al-Gaashani, Reem Alkanhel, Muthana Ali Salem Ali, Mohammed Saleh Ali Muthanna, Ahmed Aziz, Ammar Muthanna

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Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine by Malwina Kaniewska, Fabio Zecca, Carina Obermüller, Falko Ensle, Eva Deininger-Czermak, Maelene Lohezic, Roman Guggenberger

“…ZTE sequences with deep learning reconstructions refine cervical spine osseous pathology assessment. These sequences aid assessment of bone involvement in spinal and foraminal stenosis. …”
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Farmers’ perceptions of climate change, long-term variability and trends in rainfall in Apac district, northern Uganda by Francis Atube, Geoffrey M. Malinga, Martine Nyeko, Daniel M. Okello, Basil Mugonola, George William Omony, Ipolto Okello-Uma

“…This, therefore, provides a basis for the government to strengthen the provision of an effective climate tailored agricultural advisory service to aid farmers’ adaptation planning at the local level and to assist smallholder farmers and land-use managers in developing effective adaptation management strategies to the effects of climate change.…”
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Prevalence of asymptomatic Leishmania donovani infection and associated factors in Ethiopia: a systematic review and meta-analysis by Habtamu Belay, Adugna Abera, Esayas Aklilu, Tesfahun Bishaw, Ayinalem Alemu, Geremew Tasew, Berhanu Erko

“…This will minimize role of man as reservoir host of asymptomatic L. donovani infection VL and hence aid in disease control and management.…”
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A Comparative Analysis of Explainable Artificial Intelligence Models for Electric Field Strength Prediction over Eight European Cities by Yiannis Kiouvrekis, Ioannis Givisis, Theodor Panagiotakopoulos, Ioannis Tsilikas, Agapi Ploussi, Ellas Spyratou, Efstathios P. Efstathopoulos

“…Our objective is to determine the optimal machine learning model for constructing electric field strength maps across urban areas, enhancing the field of environmental monitoring with the aid of sensor-based data collection. Our machine learning models consist of a novel and comprehensive dataset collected from a network of strategically placed sensors, capturing not only electromagnetic field readings but also additional urban features, including population density, levels of urbanization, and specific building characteristics. …”
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Exploring public perceptions and awareness of Parkinson's disease: A scoping review. by Sophie Crooks, Gillian Carter, Christine Brown Wilson, Lisa Wynne, Patrick Stark, Michail Doumas, Matthew Rodger, Emma O'Shea, Gary Mitchell

“…This review aims to develop an understanding of how the public view people living with PD, which has the potential to aid the development of an educational resource for the future to improve public awareness and understanding of PD. …”
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Demographic and Clinical Characteristics of Patients with Corneal Ectasia at Multiple Medical Centers in Saudi Arabia: A Hospital-based Study by Waleed Alghamdi, Sulaiman Aldakhil, Saif Hassan Alrasheed, Kareem Allinjawi, Mustafa Abdu, Raghda F. Mutwaly, Khaled Al Rashah, Hani M. Ghazal, Ghassan H. Radwan, Naveen Kumar Challa

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Selective dorsal rhizotomy long-term effects on functional motility in Jordanian children with spastic cerebral palsy by Yazan E. Al-kharabsheh, Anas Said, Ismail A. Ismaiel, Issam Khawaja, Marwan Altaher, Ali Bani-Ahmed, Carmen M. Cirstea, Carmen M. Cirstea

“…These findings provide critical information that may aid in identifying “the best” therapeutic window and “the best” candidate for SDR in Jordan.…”
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Microplastics in beach sediments, seawater, and common fish in tourist destinations by M. Go, A. Ybanez, A. Ilano, F. Cababat, L. De La Calzada

“…Samples of gastrointestinal tract and muscle tissues were meticulously processed, treated with chemicals, and digested in order to aid in the isolation of microplastics. The quantification of microplastics was conducted under a stereomicroscope.FINDINGS Moalboal exhibited higher average microplastic counts in sediments (0.12 items per gram) and seawater (0.06 items per gram) than Badian, which had 0.08 items per gram in sediments and 0.04 items per gram in seawater. …”
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Modern options of endoscopic retrograde stenting of bile ducts in treatment of obstructive jaundice at malignant pancreatobiliary tumors by S. A. Budzinsky, S. G. Shapovalyants, Ye. D. Fedorov, A. G. Mylnikov, D. V. Bakhtiozina

“…In 230 (80,1%) of them endoscopic aid was final treatment method of late-stage neoplastic process in inoperable patients. …”
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Pharmacogenomics predictors of aromatic antiepileptic drugs-induced SCARs in the Iraqi patients by Ali Fadhel Ahmed, Dzul Azri Mohamed Noor, Majeed Arsheed Sabbah, Nur Fadhlina Musa, Nur Aizati Athirah Daud

“…These findings could facilitate personalized medicine approaches, aiding in better prediction and prevention of SCARs in AED therapy.…”
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Intricate interplay of CRISPR-Cas systems, anti-CRISPR proteins, and antimicrobial resistance genes in a globally successful multi-drug resistant Klebsiella pneumoniae clone by Jianping Jiang, Astrid V. Cienfuegos-Galletd, Tengfei Long, Gisele Peirano, Tingyu Chu, Johann D. D. Pitout, Barry N. Kreiswirth, Liang Chen

“…Our findings advance the understanding of multi-drug resistance mechanisms and will aid in preventing the emergence of future MDR clones.…”
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Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer by Wang S, Ma C, Ren Z, Zhang Y, Hao K, Liu C, Xu L, He S, Zhang J

“…The five miRNA pairs could also aid in making treatment decisions. Thus, miRNAs derived from glycosylated exosomes are promising biomarkers for cancer diagnosis.Keywords: biomarker, diagnosis, gastric cancer, extracellular vesicles, microRNAs…”
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The association between serum fructosamine and random spot urine fructose levels with the severity of non-alcoholic fatty liver disease – an analytical cross-sectional study by H Kamuzinzi, M Kgomo, P Rheeder, N Dada, P Bester

“…Our setting requires a reasonable approach to screen for and aid the diagnosis of NAFLD. Objectives. To investigate serum fructosamine and random spot urine fructose levels as biomarkers for the screening, diagnosis and monitoring of NAFLD. …”
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A multi-layer neural network-based evaluation of MHD radiative heat transfer in Eyring–Powell fluid model by Muflih Alhazmi, Zahoor Shah, Muhammad Asif Zahoor Raja, Nafisa A. Albasheir, Maryam Jawaid

“…To facilitate analysis, governing partial differential equations (PDEs) are converted into ordinary differential equations (ODEs) only with the aid of similarity transformations. From there, a dataset is created and later trained, tested, and validated by the MNNs-BRP model for efficient estimating of fluid models. …”
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