The Effect on Treatment Adherence of Administering Drugs as Fixed-Dose Combinations versus as Separate Pills: Systematic Review and Meta-Analysis by Katy A. van Galen, Jeannine F. Nellen, Pythia T. Nieuwkerk

“…The odds ratio (OR) of optimal adherence with FDCs versus separate pills was used as common effect size and aggregated into a pooled effect estimate using a random effect model with inverse variance weights. …”
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Utility of repeated praziquantel dosing in the treatment of schistosomiasis in high-risk communities in Africa: a systematic review. by Charles H King, Stephanie K Olbrych, Margaret Soon, Mendel E Singer, Jen Carter, Daniel G Colley

“…<h4>Background</h4>Controversy persists about the optimal approach to drug-based control of schistosomiasis in high-risk communities. …”
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Application of the Christiansen Dividing-wall Column Configuration for Multicomponent System Separation by Goran Lukač, Ivan Bilmez, Igor Dejanović

“…In this work, steady-state simulation results of both column configurations are compared using detailed distillation models. A multicomponent hydrocarbon mixture containing 15 components is used as a separation example, with separation into four products.…”
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Diabetes, periodontal disease, and novel therapeutic approaches- host modulation therapy by Ying Gu, Lorne M. Golub, Hsi-Ming Lee, Stephen G. Walker

“…The relationship between diabetes and oral health is bi-directional: Optimal management of local oral disease can profoundly affect the systemic metabolic control of the diabetic patient, and strict management of the patient’s hyperglycemia can reduce its impact on oral disease. …”
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Pre-clinical studies of Schistosoma mansoni vaccines: A scoping review. by Emma L Houlder, Lucas Ferreira da Silva, Angela van Diepen, Murilo Sena Amaral, R Alan Wilson, Cornelis H Hokke, Meta Roestenberg, Wilfried A M Bakker

“…This could be a critical tool to achieve control and elimination. Numerous candidates have been tested in pre-clinical models, but there is not yet an approved vaccine.…”
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Time-Triggered Task Offloading Scheduling in TSN-Based Edge Computing Power Networks by Hongrui Nie, Yang Wu, Weifeng Zhu, Jinzuo Zhong, Hang Yang, Yu Zhou

“…The proposed JCOS scheme ensures the deterministic completion of diverse tasks and provides precise timing control.…”
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Evaluation of the effects of dimethyl fumarate on transforming growth factor beta levels in the liver of rats with bile duct ligation-induced cholestasis by Hannaneh Vossoughi, Pejman Mortazavi, Mahsa Ale-Ebrahim, Razieh Hosseini

“…Objective: This investigation focused on assessing the impact of Dimethyl Fumarate on liver levels of transforming growth factor beta (TGF-β) to mitigate biochemical, histopathological, and immunohistochemical alterations in cholestasis-induced rat models. Methods: Forty male adult Wistar rats were divided into eight groups (healthy control treated with distilled water, healthy rats treated with 50, 100, and 200 mg/kg of Dimethyl Fumarate, bile duct ligation (BDL), and experiment BDL groups were treated with 50, 100, and 200 mg/kg of Dimethyl Fumarate). …”
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Mechanism by Which Backfill Body Reduces Amount of Energy Released in Deep Coal Mining by Wenyue Qi, Jixiong Zhang, Nan Zhou, Zhongya Wu, Jun Zhang

“…These measures include optimizing the support structure and filling material formula, controlling the preroof subsidence, and ensuring an appropriate number of tamping strokes. …”
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MHD flow and heat transfer of Carreau nanofluid with slip effects, and modified Fourier–Fick’s law heat–mass fluxes over a paraboloid surface in porous medium by Tadesse Lamesse, Wubshet Ibrahim

“…Main features of the analysis are the formulation of the Navier stokes equations, energy and concentration equations using the Cattaneo–Christov heat and mass flux models, rather than the classical Fourier’s law and Fick’s law, which is used to account for time relaxation effects. …”
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Extended reality technology for emergency medical service training: systematic review by Zhan Zhang, Maryam Moeini Meybodi, Aishwarya Ingale, Liza Karimova, Margarita Vinnikov

“…Key system features identified as effective included interactive user interfaces, task performance recording, monitoring and feedback, scenario editor and control, realism and presence, and multi-user collaboration. …”
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Numerical study on retrofitting opposed firing boilers with a slag-tap combustion chamber by Qinglong Wu, Fan Fang, Jingyu Guan, Lingkun Zhu, Yang Chen, Lei Deng

“…This study proposes a cost-effective retrofit design integrating a slag-tap combustion chamber with modular airflow control, preserving the original slag discharge mechanisms of a 350 MW supercritical opposed firing boiler. …”
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Evaluating Propensity Score Methods in a Quasi-Experimental Study of the Impact of Menu-Labeling. by Stephanie L Mayne, Brian K Lee, Amy H Auchincloss

“…In this re-analysis of the impact of menu labeling, we compare multiple propensity score methods to determine which methods optimize balance between experimental groups.<h4>Methods</h4>Study participants included adult customers who visited full-service restaurants with menu labeling (treatment) and without (control). …”
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Self-Diagnostic Advanced Metering Infrastructure Based on Power-Line Communication: A Study Case in Spanish Low-Voltage Distribution Networks by Matías Ariel Kippke Salomón, José Manuel Carou Álvarez, Lucía Suárez Ramón, Pablo Arboleya

“…The transformation of low-voltage distribution grids toward decentralized, user-centric models has increased the need for advanced metering infrastructures capable of ensuring both visibility and control. …”
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Analysis of the use of digital technologies at enterprises of the shipbuilding industry of the military-industrial complex by Lipatnikov Vitalii, Smirnova Ol'ga, Lebedkin Pavel

“…The use of digital products in production allows one to anticipate possible problems in the production process. Digital modeling of the product path from production to release to the market makes it possible to optimize processes even before the start of physical work, which reduces costs associated with product defects. …”
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Cloud-Driven Data Analytics for Growing Plants Indoor by Nezha Kharraz, István Szabó

“…Built with Apache NiFi (Niagara Files), the pipeline facilitates real-time ingestion, processing, and storage of IoT sensor data measuring light, moisture, and nutrient levels. Machine learning models, including SVM (Support Vector Machine), Gradient Boosting, and DNN (Deep Neural Networks), analyzed 12 weeks of sensor data to predict growth trends and optimize thresholds. …”
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Household Photovoltaic Intelligent Power System Based on Energy Storage by Liu Junhong, Sun Nan, Chen Si, Wu Jianheng, Cui Ping

“…Controllable electrical appliances were used from 10:00 to 16:00. …”
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NAS-CRE: Neural Architecture Search for Context-Based Relation Extraction by Rongen Yan, Dongmei Li, Yan Wu, Depeng Dang, Ye Tao, Shaofei Wang

“…In this paper, we formally define the context-based relation extraction problem and propose a solution utilizing neural architecture search (NAS) to optimize RNN. Specifically, NAS employs an RNN controller to delineate an RNN cell, yielding an optimal structure to represent all relationships, thereby aiding in extracting relationships between target entities. …”
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Effectiveness and safety of strategies to optimise antimicrobial use in solid organ transplant recipients. Systematic review and meta-analysesResearch in context by María Paniagua-García, Ana Belén Guisado-Gil, José Molina Gil-Bermejo, Germán Peñalva, Rocío Álvarez-Marín, María Eugenia Pachón-Ibáñez, José Miguel Cisneros

“…Meta-analyses were performed using a random-effects model and the inverse variance method with the I2 statistic to test for inconsistency between studies. …”
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AqUavplant Dataset: A High-Resolution Aquatic Plant Classification and Segmentation Image Dataset Using UAV by Md. Abrar Istiak, Razib Hayat Khan, Jahid Hasan Rony, M. M. Mahbubul Syeed, M. Ashrafuzzaman, Md. Rajaul Karim, Md Shakhawat Hossain, Mohammad Faisal Uddin

“…The DJI Mavic 3 Pro triple-camera professional drone is used with a ground sampling distance (GSD) value of 0.04-0.05 cm/px for optimal image collection without losing detail. The dataset is complemented with binary and multiclass semantic segmentation mask to facilitate ML based model development for automatic plant mapping. …”
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Enhancing stone matrix asphalt performance with sugarcane bagasse ash: Mechanical properties and machine learning-based predictions using XGBoost and random forest by Hamed Khani Sanij, Rezvan Babagoli, Reza Mohammadi Elyasi

“…The ML predictions closely matched experimental outcomes, demonstrating the potential of data-driven modeling in optimizing asphalt mix design. This dual approach—experimental validation and ML-based prediction—confirms that SCBA can effectively serve as a sustainable filler in SMA, offering performance gains while reducing environmental impact. …”
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