Demographic development of the countries of Northern Europe: current trends for the Ukrainian experience by Ірина Гудзеляк

“…The study was carried out on the basis of official data of the Nordic Council and Eurostat. Using the statistical method, the dynamics of the population, the main indicators of demographic processes and structures, migration and ethno-structural changes were assessed. …”
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Development and Validation of an Indicator System for Evaluating Clinical Nursing Process Quality Using Mobile Nursing Information Systems by Ge H, Wang Q, Liu S, Tian Y, Ma J

“…Data from three distinct clinical departments were analyzed to test the system, focusing on 20 indicators spanning assessment, execution, guidance, and management domains.Results: Both rounds of expert consultation achieved 100% response rates, with high authority coefficients (0.89 and 0.90). …”
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Single nucleus RNA-seq reveals the process from onset to chronic kidney disease in IgA nephropathy by Jun-Peng You, Gen-Yang Cheng, Xiao-Xue Zhang, Zheng Wang, Chen Liu, Wei Ning, Ya-Ru Liu, Hui-Miao Hu, Ya-Ling Zhai, Yuan-Yuan Qi, Zhan-Zheng Zhao

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Distinct effects of fine and coarse aerosols on microphysical processes of shallow-precipitation systems in summer over southern China by F. Chen, F. Chen, Y. Yang, L. Yu, Y. Li, W. Liu, Y. Liu, Y. Liu, S. Lolli

“…<p>Densely populated southern China, adjacent to the South China Sea, which is associated with shallow precipitation during summer, is an open-air natural laboratory for studying the impact of aerosol particles on shallow-precipitation events. Using 8 years of data from Dual-frequency Precipitation Radar measurements, aerosol reanalysis, and atmospheric reanalysis, this study investigates the potential influence of coarse and fine aerosol particles on the structure of the precipitation and the microphysical processes of shallow precipitation in southern China. …”
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BDEKD: mitigating backdoor attacks in NLP models via ensemble knowledge distillation by Zijie Zhang, Xinyuan Miao, Chenyu Zhou, Chenming Shang, Xi Chen, Xianglong Kong, Wei Huang, Yi Cao

“…Our empirical analysis demonstrates that BDEKD effectively lowers the success rate of six sophisticated backdoor attacks to approximately 17%, while only requiring 20% of the training data. …”
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Constrained Widely Linear Beamforming Antijammer Technique for Satellite-Borne Distributed Sensor Data Acquisition System by Yongyong Wang, Guang Liang, Lulu Zhao, Jinpei Yu, Lianxing He

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Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis by Peiyao Ren, Wenhao Gui, Shan Liang

“…After processing the data using the midpoint approach estimation, the parameter estimates are obtained by two computational methods: the Newton–Raphson iteration method and the fixed-point method. …”
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Psilocybin-assisted massed cognitive processing therapy for chronic posttraumatic stress disorder: Protocol for an open-label pilot feasibility trial. by Shakila Meshkat, Richard J Zeifman, Kathleen Stewart, Reinhard Janssen-Aguilar, Wendy Lou, Rakesh Jetly, Candice M Monson, Venkat Bhat

“…The primary outcomes are feasibility and tolerability, which will be measured by recruitment rates, withdrawal, data completion, adherence, number and nature of adverse events. …”
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Predictive Model for <i>Listeria monocytogenes</i> in RTE Meats Using Exclusive Food Matrix Data by N. A. Nanje Gowda, Manjari Singh, Gijs Lommerse, Saurabh Kumar, Eelco Heintz, Jeyamkondan Subbiah

“…The training growth rates were used to develop a secondary gamma model, followed by validation in testing data. …”
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An End to End Solution for Object Classification Using Artificial Neural Networks and Ultrasonic-Based Sensors by Ahmet Karagoz, Gokhan Dindis

“…In addition, different machine learning and artificial neural networks algorithms are used to organize and classify the data obtained from ultrasonic signals, to obtain high-performance classification rates and to achieve comprehensive object recognition. …”
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Using Multimodal Foundation Models for Detecting Fake Images on the Internet with Explanations by Vishnu S. Pendyala, Ashwin Chintalapati

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Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation. by Renae Kirkham, Cherie Whitbread, Christine Connors, Elizabeth Moore, Jacqueline A Boyle, Richa Richa, Federica Barzi, Shu Li, Michelle Dowden, Jeremy Oats, Chrissie Inglis, Margaret Cotter, Harold D McIntyre, Marie Kirkwood, Paula Van Dokkum, Stacey Svenson, Paul Zimmet, Jonathan E Shaw, Kerin O'Dea, Alex Brown, Louise Maple-Brown, Northern Territory Diabetes in Pregnancy Partnership

“…<h4>Background</h4>Rates of diabetes in pregnancy are disproportionately higher among Aboriginal than non-Aboriginal women in Australia. …”
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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

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Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks by Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada

“…When tested on cracked and uncracked data, the directional lighting method significantly outperformed other benchmarked diffused lighting methods, attaining a 10% higher true-positive rate (TPR), 12% higher intersection over union (IoU), and 10% higher F1 score with minimal impact on precision. …”
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Typological differences and cognitive load in manner processing: a corpus-based study of Chinese–English and English–Chinese consecutive interpreting by Lin Shen

“…The influence of inter-typological variations on the processing of manner information has been extensively examined in the domain of motion. …”
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Image enhancement for detection of underwater moulted crabs in greenhouse soft-shell crab farming using deep learning by Mohammad Affaiq Bin Aini, Siow Hoo Leong, Yueh Tiam Yong, Beng Yong Lee, Xiaomin Zhao, Sharifah Raina Manaf, Firdaus Abdullah, Heng Yen Khong

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QP-Adaptive Dual-Path Residual Integrated Frequency Transformer for Data-Driven In-Loop Filter in VVC by Cheng-Hsuan Yeh, Chi-Ting Ni, Kuan-Yu Huang, Zheng-Wei Wu, Cheng-Pin Peng, Pei-Yin Chen

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OPTIMIZING LONG TEXT CLASSIFICATION PERFORMANCE THROUGH KEYWORD-BASED SENTENCE SELECTION: A CASE STUDY ON ONLINE NEWS CLASSIFICATION FOR INDONESIAN GDP GROWTH-RATE DETECTION by Dinda Pusparahmi Sholawatunnisa, Lya Hulliyyatus Suadaa

“…This study delves into innovative approaches to streamline the Gross Domestic Product (GDP) computation process by harnessing modern data analytics, Natural Language Processing (NLP), and online news sources. …”
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Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging by Konstantin G. Arbeev, Svetlana V. Ukraintseva, Alexander M. Kulminski, Igor Akushevich, Liubov S. Arbeeva, Irina V. Culminskaya, Deqing Wu, Anatoliy I. Yashin

“…We applied the stochastic process model of aging aimed at joint analyses of genetic and nongenetic subsamples of longitudinal data and estimated different aging-related characteristics for carriers and noncarriers which otherwise cannot be evaluated from data. …”
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Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50 by Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul

“…To address these issues, the proposed model assures that the predictions are still accurate even when some stroke risk factors are absent in the data. The performance of CBDA-ResNet50 improves by using the Adam optimizer and the ReduceLROnPlateau scheduler to adjust the learning rate. …”
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