EURASIAN ASSOCIATION OF CARDIOLOGY (EAC)/ RUSSIAN NATIONAL ATHEROSCLEROSIS SOCIETY (RNAS, RUSSIA) GUIDELINES FOR THE DIAGNOSIS AND CORRECTION OF DYSLIPIDEMIA FOR THE PREVENTION AND... by V. V. Kukharchuk, M. V. Ezhov, I. V. Sergienko, G. G. Arabidze, T. V. Balakhonova, V. S. Gurevich, P. A. Zelveyan, T. M. Murataliev, G. Sh. Myrzakhmetova, O. A. Sudzhaeva, A. B. Shek, V. A. Azizov, N. B. Gornyakova, M. A. Kachkovsky, P. P. Malyshev, S. N. Pokrovsky, A. A. Sokolov, A. B. Sumarokov, A. G. Obrezan, I. I. Shaposhnik, M. B. Antsiferov, A. A. Ansheles, D. M. Aronov, N. M. Akhmedzhanov, O. L. Barbarash, S. A. Boytsov, M. G. Bubnova, M. I. Voevoda, G. R. Galstyan, A. S. Galyavich, O. M. Drapkina, D. V. Duplyakov, S. Ya. Eregin, R. S. Karpov, Yu. A. Karpov, N. A. Koziolova, G. A. Konovalov, V. O. Konstantinov, E. D. Kosmacheva, S. V. Nedogoda, V. E. Olejnikov, Yu. I. Ragino, V. V. Skibickij, O. G. Smolenskaya, Yu. Sh. Halimov, I. E. Chazova, A. E. Filippov, M. V. Shestakova, S. S. Yakushin

“…It is also the health professional’s responsibility to verify the applicable rules and regulations relating to drugs and medical devices at the time of prescription.Members of the Working Group confirmed the lack of financial support / conflict of interest. …”
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Upcycling pineapple biomass waste to produce maltodextrin through enzymatic hydrolysis by Bambang Nurhadi, Parlan M.TP, Riksfardini Annisa Ermawar, Dewi Sondari, Adi Md Sikin, Mahani, Rossi Indiarto, S. Rosalinda, Rudy Adi Saputra, Nandi Sukri, Roni Kastaman

“…This research supports sustainable practices by converting pineapple processing waste into value-added maltodextrin, a product with industrial applications.…”
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The methodological framework for DRIP: Drought representation index for CMIP model performance by Lucas Pereira de Almeida, Ályson Brayner Sousa Estácio, Rosa Maria Formiga-Johnsson, Francisco de Assis de Souza Filho, Victor Costa Porto, Alexandra Nauditt, Lars Ribbe, Alfredo Akira Ohnuma Júnior

“…The methodology encompasses four main stages: data acquisition and preparation, drought characterization, DRIP calculation, and model ensemble generation (E-DRIP). …”
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Carbon nanomaterials as an environmental technology in the remediation of agricultural soils contaminated with heavy metals: a review by María Sol-Magdaleno, José Ignacio Aguilar-Aguilar, Elías Beltrán-Naturi, Luis Dorian Valencia-Ordóñez, Amílcar Díaz-González, Pedro Trejo-Flores, César Augusto Camas-Flores, Gabriela Palacios-Pola, Zulfiqar Ali-Sahito, Magín González-Moscoso

“…Furthermore, based on available data, there are few scientific reports on the use of carbon-based nanomaterials for the remediation of heavy metal soils. …”
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Management of the Chain of Custody of Digital Evidence Using Blockchain and Self-Sovereign Identities: A Systematic Literature Review by Leandro Loffi, Gerson Luiz Camillo, Cristiano Antonio De Souza, Carla Merkle Westphall, Carlos Becker Westphall

“…Digital evidence plays an increasingly crucial role in judicial proceedings due to the exponential growth in the creation, storage, and transmission of digital data. However, its inherent volatility and susceptibility to tampering necessitate robust mechanisms to ensure integrity and authenticity, making an effective chain of custody (CoC) a fundamental requirement. …”
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Dry fruit image classification using stacking ensemble model by Maheen Islam, Mujahidul Islam, Alfe Suny, Abdullah Al Rafi, Abdullahi Chowdhury, Mohammad Manzurul Islam, Saleh Masum, Md Sawkat Ali, Taskeed Jabid, Md Mostofa Kamal Rasel

“…The proposed multi-step methodology covers data collection, preprocessing, augmentation, and model training. …”
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Fully printed doped vanadium dioxide (M) nanoparticles-based temperature sensor with enhanced sensitivity for reliable environmental monitoring using packaging strategy by Mohammad Vaseem, Sakandar Rauf, Firas Fatani, Rana Muhammad Bilal, Marco Marengo, Stefaan De Wolf, Jaafar Elmirghani, Noha Alharthi, Atif Shamim

“…Finally, a complete wireless readout system integrated with cloud data storage and a display server has also been developed for the as-printed temperature sensor to enable real-time environmental temperature monitoring.…”
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Development and validation of a nomogram for predicting the occurrence of acute kidney injury in patients with pulmonary embolism by Bin-Feng Sun, Lei Gao, Run-Wei Deng, Xuan Gao, You-Li Fan, Yong-Bing Wang, Ying-Xin He, Jing Huang, Na Sun, Bing-Xiang Wu

“…This study aimed to develop a nomogram to predict AKI in PE patients admitted to the intensive care unit.Methods The data of patients with PE were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) and the eICU Collaborative Research Database, with AKI as the primary outcome. …”
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Teaching inequity in vector-borne diseases management through a socioscientific issue framework by Nicole A. Scavo, Sarah Poor, Francisco C. Ferreira, Yuexun Tian, Julia Gonzalez, Jordan Salomon

“…The lesson is based on the demographic and disease risk data from local contexts to provide effective place-based and socioscientific issues instruction. …”
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Theoretical study on the transition wavelengths and probabilities, Landé gJ factors, and sensitivity to fundamental constants of Ge-like highly charged ions by Cunqiang Wu, Xiaobin Ding, Chenzhong Dong

“…These ions hold significant potential for applications in the development of optical clocks and the investigation of potential variation of fine structure constant.…”
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Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning by Nora Rajs, Yinon Harush-Brosh, Ron Raisch, Ravit Yakobi Arancibia, Amani Zoabi, Guy Nevet Golan, Moshe Shpitzen, Sarena Wiesner, Michal Levin-Elad, Tommy Kaplan, Katherine Margulis

“…This research, conducted in collaboration between police forensic units and an academic institution, integrates seamlessly into practical forensic applications.…”
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Integrating Dilemma Stories into Chemistry Learning: Analyzing Students’ Critical Thinking Skills by Tritiyatma Hadinugrahaningsih, Yuli Rahmawati, Rika Siti Syaadah, Fitri Sumalia Dewi, Shakira Az-Zahra, Fitri Tamarani

“…A qualitative approach was used, with data collected through observations, reflective journals, interviews, and critical thinking tests. …”
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A Real-Time ETP Outlet Monitoring Framework Leveraging Environmental IoT, Colorimetry, and Learning Theory by Md. Jahid Hasan Mridha, Md. Mehedi Hossain, Sazid Md. Imran, Sk Ayub Al Wahid, Anika Tahsin, Md. Golam Rabiul Alam, Ashis Talukder, Ahmed Wasif Reza

“…K-Nearest Neighbor (KNN) classifies water quality based on sensor data, and Long Short-Term Memory (LSTM) forecasts seasonal impacts on water quality, including inactive periods. …”
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Implementation outcomes of convergence action policy to accelerate stunting reduction in Pidie district, Aceh province, Indonesia: a qualitative study by Sofyan Sufri, Nurhasanah Nurhasanah, Misbahul Jannah, Saiful Bakri, Iskandar Iskandar, Rajuddin Rajuddin, Sarah Ika Nainggolan, Fathima Sirasa, Jonatan Anderias Lassa

“…The utilisation of methods and findings from this study in other areas in Indonesia or other low- and middle-income countries is important to explore more about the applicability, benefits and weaknesses of this study.…”
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A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification by Neha Sharma, Manoj Sharma, Amit Singhal, Nuzhat Fatema, Vinay Kumar Jadoun, Hasmat Malik, Asyraf Afthanorhan

“…This study presents an enhanced method for the precise recognition of MI tasks using EEG data, to facilitate more intuitive interactions between individuals with mobility challenges and their environment. …”
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Enhanced analysis of MHD radiative hybrid nanofluid flow over a spinning disc with hall currents via advanced computational techniques by Muhammad Jebran Khan, Mohsin Ali, Maher Ali Rusho, Juan Carlos Cayán Martínez, Eduardo Francisco García Cabezas, Diego Ramiro Ñacato Estrella, Angel Geovanny Guamán Lozano, Noormal Samandari

“…Advanced machine learning techniques, such as physics-informed neural networks and hybrid models, are employed to improve predictions, using synthetic data based on governing partial differential equations. …”
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Sub-seasonal and seasonal climate predictions for a sporting goods retailer company: Co-development of a climate service from scratch by Albert Soret, Albert Martínez-Botí, Raul Marcos-Matamoros, Nube Gonzalez-Reviriego, Francesc Roura-Adserias, Lluís Palma, Sergio Benito Martín, Sergio González-Ubierna

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New Findings on the Survival of <i>Durusdinium glynnii</i> Under Different Acclimation Methods to Low Salinities by Barbara de Cassia S. Brandão, Jéssika L. de Abreu, Deyvid Willame S. Oliveira, Clarissa Vilela F. da Silva Campos, Ingrid M. Thó de Aguiar, Pedro R. de Sena, Alfredo O. Gálvez, Carlos Yure B. Oliveira

“…The data provide a foundation for future studies on molecular mechanisms of salinity tolerance, essential for coral conservation strategies and bioprospecting efforts.…”
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Machine learning and SHAP values explain the association between social determinants of health and post-stroke depression by Zhiwei Song, Jilin Weng, Yupeng Han, Wangyu Li, Yiya Xu, Yingchao He, Yinzhou Wang

“…Abstract Objective To create and verify a machine learning model that integrates social determinants of health (SDoH) for assessing post-stroke depression (PSD) and examining the association between SDoH and disease outcomes. Methods Data were acquired from the National Health and Nutrition Examination Survey. …”
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Phenogenomic resources immortalized in a panel of wild-derived strains of five species of house mice by Jaroslav Piálek, Ľudovít Ďureje, Zuzana Hiadlovská, Jakub Kreisinger, Tatiana Aghová, Anna Bryjová, Dagmar Čížková, Joëlle Goüy de Bellocq, Helena Hejlová, Kateřina Janotová, Iva Martincová, Annie Orth, Jana Piálková, Iva Pospíšilová, Ludmila Rousková, Barbora Vošlajerová Bímová, Christine Pfeifle, Diethard Tautz, François Bonhomme, Jiří Forejt, Miloš Macholán, Pavla Klusáčková

“…This study quantifies genetic and phenotypic data of 101 WDS representing 5 species, 3 subspecies, and 8 natural Y consomic strains and compares them with CLS. …”
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