Post-traumatic stress disorder in health care professionals: symptoms, causes, prevention and treatment (a literature review) by Ye. Ye. Timchenko, O. V. Liubinets, P. V. Oliinyk, V. V. Chaplyk, S. P. Oliinyk

“…Materials and methods. An analysis of published full-text articles from PubMed, Web of Science, APA PsychNet, Google Scholar, Scopus databases was performed to systematize data on symptoms and causes, clinical consequences and methods of prevention and treatment of post-traumatic stress disorder in health care professionals. …”
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Genome-Wide Identification of the <i>DOG1</i> Gene Family in Pepper (<i>Capsicum annuum</i>) and Its Expression Profiles During Seed Germination by Zhichao Zhao, Jingbo Sun, Feng Zhang, Chunjuan Dong

“…Based on <i>C. annuum</i> genome information, the identification and expression analysis of <i>CaDOG1</i> gene family members through bioinformatics approaches can provide a theoretical foundation for subsequent studies on the biological functions of <i>CaDOG1s</i> and the improvement of seed traits in <i>C. annuum</i> breeding. …”
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Assessing the MUC5B promoter variant in a large cohort of systemic sclerosis-associated interstitial lung disease by Yannick Allanore, Marialbert Acosta-Herrera, Martin Kerick, Oliver Distler, Christopher P Denton, Alexandre E Voskuyl, Mandana Nikpour, Lorenzo Beretta, Javier Martin, Maureen D Mayes, Shervin Assassi, Ariane L Herrick, Alexander Kreuter, Nicolas Hunzelmann, P Airò, A Barton, G Riemekasten, Susanna M Proudman, F J López-Longo, E Beltrán, C Fonseca, B Fernandez-Gutierrez, A Nordin, M Freire, L Rodriguez-Rodriguez, G Major, Jeska K de Vries-Bouwstra, M A Gonzalez-Gay, G ESPINOSA, T R D J Radstake, A Gabrielli, F Diaz, V Ortiz-Santamaria, L Padyukov, G Orozco, T Witte, J Walker, W Stevens, C Lunardi, N Oreiro, José Luis Callejas, P Carreira, I Castellvi, R Ríos, R García Portales, A Fernández-Nebro, F J García-Hernández, M A Aguirre, P García de la Peña, E Vicente, J L Andreu, M Fernández de Castro, V Fonollosa, A Pros, M Rodríguez Carballeira, F J Narváez, M Rubio Rivas, A B Madroñero, B Díaz, L Trapiella, M V Egurbide, P Fanlo-Mateo, L Saez-Comet, J A Roman-Ivorra, J J Alegre Sancho, F J Blanco Garcia, C Magro, M C Vonk, R Hesselstrand, A Hoffmann-Vold, J H W Distler, J Sahhar, N Ortego-Centeno, B P C Koeleman, D Hansen, A Apostolopoulos, L Ross, G Moroncini, Alfredo Guillén-Del-Castillo, Carmen P Simeon-Aznar, Carlos Rosa-Baez, Carlos Rangel-Pelaez, Inmaculada Rodriguez-Martin, L Tío, N Ferdowsi, L V Host, G S Ngian, A Quinlivan, M Tabesh

“…Objective The common gain-of-function variant rs35705950, located in the promoter of MUC5B gene, has been strongly associated with interstitial lung diseases (ILDs) of different aetiology, such as idiopathic pulmonary fibrosis (IPF) and rheumatoid arthritis-associated ILD (RA-ILD). …”
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Vitamin K‐dependent gamma‐carboxyglutamic acid protein 1 promotes pancreatic ductal adenocarcinoma progression through stabilizing oncoprotein KRAS and tyrosine kinase receptor EGF... by Zheng Wu, Qing Ye, Shan Zhang, Li‐Peng Hu, Xiao‐Qi Wang, Lin‐Li Yao, Lei Zhu, Shu‐Yu Xiao, Zong‐Hao Duan, Xue‐Li Zhang, Shu‐Heng Jiang, Zhi‐Gang Zhang, De‐Jun Liu, Dong‐Xue Li, Xiao‐Mei Yang

“…Methods Analysis of pancreatic ductal adenocarcinoma (PDAC) datasets, including transcription profiles, clinical data, and tissue microarrays, was conducted to evaluate PRRG1 expression and its clinical relevance. …”
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Computer-tomography features of hemodynamics in hepatocellular carcinoma foci depend on the stage of histological differentiation by U. N. Tumanova, N. I. Yashina, Ye. A. Dubova, G. G. Karmazanovsky, A. I. Schegolev

“…Hemodynamic functionality in moderately-differentiated tumor nodes was significantly higher as compared to well differentiated tumor. …”
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Plantonome: A Cross-Platform Application for Precision Agriculture by Deroussi Anass, Ait Madi Abdessalam, Alihamidi Imam, Chabou Zakaria, Addaim Adnane

“…Designed to integrate with IoT devices, Plantonome quickly and accurately identifies ornamental plant genera or species using the Plant.id API for plant image analysis. The application also utilizes a NoSQL database for storing user data and plant preferences, and it includes a dataset of ornamental plants with details such as name, brightness, temperature, and humidity requirements. …”
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Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations by Yong Li, Xin Sun, Yongtao Qu, Shuling Yang, Yueyi Zhai, Yan Qu

“…Abstract This study aimed to explore the combined impacts of occupational noise and dust on hearing and extra-auditory functions and identify associated risk factors via machine learning techniques. …”
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Cybersecurity threats and mitigation measures in agriculture 4.0 and 5.0 by Chrysanthos Maraveas, Muttukrishnan Rajarajan, Konstantinos G Arvanitis, Anna Vatsanidou

“…The analysis also revealed that malware attacks occur when hackers change the code of a system application to access sensitive farm-related data and may alter the operations of the digitized systems. …”
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A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification by Mohammed Yousif, Belal Al-Khateeb, Begonya Garcia-Zapirain

“…However, if the specified data dimension or model grows too large, CNN becomes difficult to train effectively with a slowdown processing. …”
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Deep Transfer Learning-Based Performance Prediction Considering 3-D Flux in Outer Rotor Interior Permanent Magnet Synchronous Motors by Moo-Hyun Sung, Soo-Hwan Park, Kyoung-Soo Cha, Jae-Han Sim, Myung-Seop Lim

“…Accurate performance prediction in the design phase of permanent magnet synchronous motors (PMSMs) is essential for optimizing efficiency and functionality. While 2-D finite element analysis (FEA) is commonly used due to its low computational cost, it overlooks important 3-D flux components such as axial leakage flux (ALF) and fringing flux (FF) that affect motor performance. …”
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Short-Term Electricity Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Improved Sparrow Search Algorithm–Convolutional Neural Netwo... by Han Qiu, Rong Hu, Jiaqing Chen, Zihao Yuan

“…A series of simpler intrinsic mode functions (IMFs) with different frequency characteristics can be decomposed by CEEMDAN from data, then each IMF is reconstructed based on calculating the sample entropy of each IMF. …”
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The fatigue life estimation of the porous AlSi9Cu3 alloy based on the classification of pore geometry using multivariate probability distribution density by Dejan Tomažinčič, Branislav Panić, Marko Nagode, Jernej Klemenc

“…The proposed method offers a significant improvement in the accuracy of modeling fatigue life curves with respect to the spatial topology of porosity because it is leveraging μ-CT imaging for quantitative macrostructural characterization with statistical analysis. This approach enables robust data extraction and is suited for integration into industrial-scale manufacturing and quality control workflows.…”
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Enhancing Hospital Service Quality Through Strategic and Operational Excellence Focused on Patient Satisfaction: The Case of Indonesia by Renaldus Iwan Sumarta, Iman Sudirman, Jaja Suteja, Horas Djulius, Mohammad Sofyan

“…Structural Equation Modeling (SEM) was utilized for data analysis, enabling an in-depth examination of both direct and indirect relationships among the variables. …”
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Blockchain-Based, Dynamic Attribute-Based Access Control for Smart Home Energy Systems by Urooj Waheed, Sadiq Ali Khan, Muhammad Masud, Huma Jamshed, Touqeer Ahmed Jumani, Najeeb Ur Rehman Malik

“…The literature reveals numerous cases of cyberattacks on IoT-based energy infrastructures, primarily involving unauthorized access, data breaches, and device exploitation. Therefore, designing a robust ecosystem with secure and efficient access control (AC), while safeguarding user functionality and privacy, is essential. …”
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A microRNA signature that correlates with cognition and is a target against cognitive decline by Md Rezaul Islam, Lalit Kaurani, Tea Berulava, Urs Heilbronner, Monika Budde, Tonatiuh Pena Centeno, Vakthang Elerdashvili, Maria‐Patapia Zafieriou, Eva Benito, Sinem M Sertel, Maria Goldberg, Fanny Senner, Janos L Kalman, Susanne Burkhardt, Anne Sophie Oepen, Mohammad Sadman Sakib, Cemil Kerimoglu, Oliver Wirths, Heike Bickeböller, Claudia Bartels, Frederic Brosseron, Katharina Buerger, Nicoleta‐Carmen Cosma, Klaus Fliessbach, Michael T. Heneka, Daniel Janowitz, Ingo Kilimann, Luca Kleinedam, Christoph Laske, Coraline D Metzger, Matthias H Munk, Robert Perneczky, Oliver Peters, Josef Priller, Boris S. Rauchmann, Nina Roy, Anja Schneider, Annika Spottke, Eike J Spruth, Stefan Teipel, Maike Tscheuschler, Michael Wagner, Jens Wiltfang, Emrah Düzel, Frank Jessen, Delcode Study Group, Silvio O Rizzoli, Wolfram‐Hubertus Zimmermann, Thomas G Schulze, Peter Falkai, Farahnaz Sananbenesi, Andre Fischer

“…In this study, we use an integrative approach combining the analysis of human data and mechanistic studies in model systems to identify a circulating 3‐microRNA signature that reflects key processes linked to neural homeostasis and inform about cognitive status. …”
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Stat3 oxidation-dependent regulation of gene expression impacts on developmental processes and involves cooperation with Hif-1α. by Michela Grillo, Carolyn Palmer, Nadine Holmes, Fei Sang, Andrew C Larner, Rahul Bhosale, Peter E Shaw

“…Experimental validation revealed that efficient stabilisation of Hif-1α in response to oxidative stress or hypoxia required an oxidation-competent Stat3 and that depletion of Hif-1α suppressed the inducible expression of Kcnb1, a representative DE gene. Our data suggest that Stat3 and Hif-1α cooperate to regulate genes involved in immune functions and developmental processes in response to oxidative stress.…”
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A Single Session of tDCS Stimulation Can Modulate an EEG Microstate Associated With Anxiety in Patients With Depression by Keiichiro Nishida, Shota Minami, Tomonari Yamane, Satsuki Ueda, Banri Tsukuda, Shunichiro Ikeda, Daisuke Haruna, Masafumi Yoshimura, Tetsufumi Kanazawa, Thomas Koenig

“…Microstate maps were derived from resting‐state EEG recordings obtained prior to and following the application of tDCS. The EEG data were categorized into five distinct microstate classes for subsequent analysis. …”
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Culturally adapted developmental outcome measure for Aboriginal and Torres Strait Islander children: study protocol for the validation of the ASQ-STEPS by Patricia Eadie, Anita D’Aprano, Francesca Lami, Dan Cloney, Samantha Simpson, Cassie Boyle, Leah Lindrea-Morrison, Raelene Brunette, Emma Stubbs, Cuc Nguyen, Isabel Brookes

“…A unidimensional item response model (IRM) will be fitted to the data by marginal maximum likelihood. Classical and IRM fit statistics and differential item functioning will be employed to examine validity. …”
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WORLD EXPERIENCE OF CURRENCY UNIONS: BENEFITS AND RISKS FOR MEMBER COUNTRIES by Albina V. Sibirskaya

“…The methodology of the study includes the study and comparative analysis of data on currency unions, such as the East Caribbean, West African and Central African, taking into account the economic theory of optimal currency areas and convergence conditions. …”
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Construction on labor education platform based on RuoYi-Cloud by Zhang Jiaming, Zhou Jie, Zhou Beiping

“…In order to help students learn labor culture and carry out labor practice, and assist teachers to accurately arrange and conduct labor teaching activities, a labor education system based on RuoYi-Cloud framework is designed and implemented with functions of labor education management, class selection management, online learning, academic warning, system monitoring, data analysis, etc. …”
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