The Impact of Green Taxation on Sustainable Economic Development in the European Union by Valentin Marian Antohi, Costinela Fortea, Monica Laura Zlati, Marius Sorin Dinca

“…The study analyses the impact of green taxation on sustainable economic development in the European Union, using econometric multiple linear regression methods applied to a dataset for the 27 Member States covering the period 2010-2022. …”
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Development and Balance Evaluation for Land Use and Transport Interaction Using Node-Place Model and Data Envelopment Analysis by Xiaoyi Ma, Hongjie He, Mingmin Liu, An Jin

“…Conversely, the LoM model, grounded in data envelopment analysis methods, evaluates the relative relationship between transport services and the travel demand generated by land use. …”
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Force Analysis of Material Movement in a Horizontal Mixer of a Hydrolytic Chamber: a Case Study of Soybean Meal Processing by M. G. Zagoruiko, M. E. Belyshkina, I. A. Bashmakov, A. M. Maradudin

“…(Materials and methods) The analysis focuses on the system of forces acting on a material particle resting on the helical surface of a horizontal screw and pressed against the inner wall of the casing. …”
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Self-gripping mesh in laparoscopic inguinal hernia repair: A comparative study about surgical time, post-operative pain and recurrence by Lucía Aragone, Mariana Toffolo Pasquini, Raul Croceri, Pablo Medina, Daniel Pirchi

“…Our primary outcome was to compare ST, PP and recurrence rates in LIHR using SGM versus FMM. Patients and Methods: A comparative retrospective study with prospective case registry was conducted. …”
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Deformation index (GDI) in grain as a criterion for wheat gluten quality by E. N. Shabolkina, S. N. Shevchenko, N. V. Anisimkina

“…These methods will allow researchers to estimate the quality of breeding material more efficiently, and agricultural producers will have a comprehensive description of gluten quality of grown grain.…”
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Are Functional Performance Test Scores Better When Compared to Baseline or Contralateral Limb Scores Following LE Injury in Adolescent Athletes? by Edward Jones, Jessica Jochum, Hannah Corn, Michaela O'Brien, Melissa Parks, Jamal Armoush, Amanda Annee

“…These results could make preseason testing more efficient when creating a reference for determining RTP readiness following lower extremity injury.…”
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Evaluation of fresh juice of strawberries at different degrees of ripeness using electronic nose and electronic tongue by GAO Li-ping, WANG Jun, CUI Shao-qing

“…However, the combination of e-nose and e-tongue with PLS could more efficiently predict soluble solids content, Vc content, total acid content and pH value (Fig. 11), among which the correction and prediction coefficient of determination of total acid content increased to 0.965 and 0.908, respectively.In conclusion, the combination of e-nose and e-tongue reveals better abilities to discriminate and predict fresh juice, which is confirmed to be a general detection for the comprehensive smell and taste information.…”
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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

“…Many in silico models have been developed to predict hERG blockers, which can efficiently save time and resources. However, previous methods have found it hard to achieve high performance and to interpret the predictive results. …”
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VZV Prophylaxis After Allogeneic Hematopoietic Stem Cell Transplantation in Children: When to Stop? by Eva deBerranger, Anne‐Flore Derache, Nassima Ramdane, Julien Labreuche, Pauline Navarin, Fanny Gonzales, Wadih Abou‐Chahla, Brigitte Nelken, Bénédicte Bruno

“…Methods and Results Eighty‐four children underwent an allogeneic HSCT, in which 77 received an acyclovir prophylaxis. …”
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Normative Reference Values and Validity for the 30-Second Chair-Stand Test in Healthy Young Adults by Donald H. Lein Jr., Mansour Alotaibi, Marzouq Almutairi, Harshvardhan Singh

“… # Study Design Cross-sectional # Methods Eighty-one participants completed this study. …”
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Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs by Sayed Gomaa, Ahmed Ashraf Soliman, Mohamed Mansour, Fares Ashraf El Salamony, Khalaf G. Salem

“…Initially, statistical methods were employed to analyze the input data before applying machine learning techniques. …”
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Communicative health literacy with physicians in healthcare services– results of a Hungarian nationwide survey by Frederico Epalanga Albano Israel, Ferenc Vincze, Róza Ádány, Éva Bíró

“…Our aims are to check the measurement properties of the Hungarian version of this COMM-HL questionnaire, to describe the COMM-HL of the Hungarian adult population and to investigate its determinants. Methods A total of 1205 adults completed the telephone interview in 2020 as part of the European Health Literacy Population Survey 2019–2021. …”
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Comparing Clearances of Polymethylmethacrylate and Polysulfone Dialyzer Membranes for Postdilution Hemodiafiltration in Patients With Kidney Failure: Protocol for a Systematic Revi... by Cahyani Gita Ambarsari, Astrid Kristina Kardani, Agustina Wulandari, Nadhifah Nadhifah

“…ObjectiveThe forthcoming study aims to compare the solute clearance of postdilution HDF using PMMA versus PS dialyzer membranes in patients with kidney failure requiring long-term HD. MethodsThe literature search will use databases including PubMed, Scopus, Web of Science, Embase, and Cochrane. …”
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Sex differences in anaerobic performance in CrossFit® athletes: a comparison of three different all-out tests by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Domínguez, Javier Benítez-Porres

“…Methods A cross-sectional study was conducted over 2 weeks. …”
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Sensory Modality in Students Enrolled in a Specialized Training Program for Security Forces and Its Impact on Karate Performance Indicators by Ivan Uher, Ján Pivovarník, Mária Majherová

“…<b>Methods:</b> Thirty-one students aged 20 to 26 (SD = 0.81) completed the modified Visual, Aural, Read/Write, and Kinesthetic questionnaire (VARK), a tool designed to help identify students’ preferred learning styles. …”
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Using Data-Driven Computer Vision Techniques to Improve Wheat Yield Prediction by Merima Smajlhodžić-Deljo, Madžida Hundur Hiyari, Lejla Gurbeta Pokvić, Nejra Merdović, Faruk Bećirović, Lemana Spahić, Željana Grbović, Dimitrije Stefanović, Ivana Miličić, Oskar Marko

“…Accurate ear counting is essential for determining wheat yield, but traditional manual methods are labour-intensive and time-consuming. …”
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Development of an immunochromatographic assay for detection of Aflatoxin B1 in corn and rice by Tien Duc Chu, Trang Thi Thu Nguyen, Anh Tuan Le, Truong Thi Hoang, Chuyen Van Nguyen, Trung Hoang Nguyen, Hoa Thi Vu, Dat Trong Nguyen, Ngoc Thi Minh Nguyen, Tuan Ngoc Nguyen, Ba Van Nguyen

“…Its presence in food was common. Rapid and efficient determination of AFB1 in corn and rice is critical for food safety monitoring. …”
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Impact of recyclability on the tensile and Impact properties of coated plastic materials for the automotive and electronic sectors [version 3; peer review: 1 approved, 2 approved w... by Esteban Paredes Barros, Pablo Alberto Acuña Domínguez, Raquel Ledo Bañobre, Vanessa Ventosinos Louzao, Miguel Ángel De Dios Álvarez, Denise García Murias

“…Mechanical recycling methods showed that the reprocessing cycles have a higher impact on the mechanical performance than the amount of recycling material content. …”
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Deciphering the Phytochemical Potential of Hemp Hairy Roots: A Promising Source of Cannabisins and Triterpenes as Bioactive Compounds by Naomi Kaminsky, Jane Hubert, Cédric Guerin, Malak Mazlani, Alexis Kotland, Victor Pozzobon, Blandine Marant, Héloïse Mailhac, Stéphane Poigny

“…Still, this material is rich in bioactive compounds and demonstrates promising anti-inflammatory, antimicrobial, and antioxidant properties. Biotechnological methods, such as hairy root cultures, enable the efficient production of specialized metabolites while avoiding the issues of outdoors cultures. …”
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Clinical prediction model for MODY type diabetes mellitus in children by D. N. Laptev, E. A. Sechko, E. M. Romanenkova, I. A. Eremina, O. B. Bezlepkina, V. A. Peterkova, N. G. Mokrysheva

“…Based on clinical data, a feedforward neural network (NN) was implemented - a multilayer perceptron.MATERIALS AND METHODS: Development of the most effective algorithm for predicting MODY in children based on available clinical indicators of 1710 patients with diabetes under the age of 18 years using a multilayer feedforward neural network.RESULTS: The sample consisted of 1710 children under the age of 18 years with T1DM (78%) and MODY (22%) diabetes. …”
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