MLCRP: ML-Based GPU Cache Performance Modeling Featured With Reuse Profiles by Minjung Cho, Eui-Young Chung

“…In the data preparation stage, synthetic RP-based traces are generated from parameterized distributions to simulate diverse and non-stationary memory patterns. In the training stage, a regression-based ML model is trained to capture the relationship between RP features, cache configurations, and performance metrics such as miss rate and miss status holding register (MSHR) merge rate. …”
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A Comparative Study on Fracture Characteristics of the Red Sandstone under Water and Nitrogen Gas Fracturing by Yanan Gao, Feng Gao, Zekai Wang, Peng Hou

“…However, for the nitrogen gas fracturing, the breakdown pressure almost does not change with the loading rate as the nitrogen gas can easily penetrate the specimen from the radial direction.…”
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Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry. by Claire A Lawson, Ivonne Solis-Trapala, Ulf Dahlstrom, Mamas Mamas, Tiny Jaarsma, Umesh T Kadam, Anna Stromberg

“…The following hypotheses were tested: (i) comorbidities are associated with more severe symptoms and functional limitations and subsequently worse patient-rated health in HF, and (ii) these patterns of association differ among selected comorbidities.…”
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Factors Affecting Aggressive Behavior Among Teenage Students: A Statistical Study by Kauser Shaheen, Majid Kaleem, Muhammad Abbas, Asim Iftikhar, Muhammad Ramzan

“…Aggressive behavior in the classroom was linked to low academic engagement ratings, good attitudes toward learning, friends in the classroom, and the perception of teacher support. …”
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Sentiment Analysis Of Indonesian Civil Servan Candidates 2023 Twitter Network With Naive Bayes Algorithm Method by Harman Akbar Tullah, Muh Akbar, Alem Febri Sonni, Akbar Iskandar, Erwin Gatot Amiruddin, Kamaruddin, Asnimar

“…Using advanced techniques such as social network analysis and Python language processing, as well as the application of the Naive Bayes algorithm, this research carefully examines the conversation patterns and topic trends prevalent on Twitter during the CPNS selection phase. …”
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Three Dimensional Image Reconstruction of Electrical Capacitance Tomography Based on Improved ALEXNET Convolutional Neural Network by LI Yan, WANG Lu, LI Jiaqi

“…A method is proposed that the corresponding AlexNet neural network is trained according to the data of different flow patterns for the problem of slow sample training and low imaging accuracy for the threedimensional image reconstruction algorithm of convolutional neural networks. …”
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Assessing the impact of AI on physician decision-making for mental health treatment in primary care by Katie Ryan, Hyun-Joon Yang, Bohye Kim, Jane Paik Kim

“…A sequentially randomized vignette method was used to test the impact of initial assessments and AI output on physician decision-making patterns. Physicians were significantly more likely to change their decisions when the AI recommendation was misaligned with their initial assessment, especially when AI recommended treatment. …”
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An Epidemiological and Multidrug Resistance Study for E. coli Isolated from Urinary Tract Infection (Three Years of Study) by Mahde S. Assafi, Fawwaz F. Ali, Reem Fouad Polis, Nisreen Jawad Sabaly, Sozan Muhsin Qarani

“…The uropathogenic E. coli rate was higher, statistically not significant, in females (21.4%) than males (18.5%) (P=0.4946). …”
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Cross-sectional and longitudinal trajectory analyses of sleep duration and frailty among middle-aged and older Chinese adults by Wei Zheng, Yan Sun, Xianling Liu, Miao Lu, Di Xu

“…Conversely, the initial level of frailty significantly negatively predicted the initial level of sleep duration (β = − 0.36, P < 0.001), and the rate of change in frailty negatively predicted the rate of change in sleep duration (β = − 0.71, P < 0.001). …”
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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…The proposed IDS is evaluated using metrics that specifically evaluate anomaly detection capabilities, such as Accuracy, Precision, DR (Detection Rate), Specificity, MR (Miss Rate), FAR (False Alarm Rate), F1-Score, Cohen&#x2019;s Kappa, MCC, ROC-AUC. …”
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Optimization of Bus Rerouting to Alleviate the Impact of Rail Transit Construction by Yiran Wang, Jingxu Chen, Xinlian Yu, Qinhe An, Xu Wu

“…For each rerouting line, we design two adjustment patterns and associated candidate alternative rerouting sets. …”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…These results confirm DS-TCTM's effectiveness in capturing driving style impacts on trajectory patterns, providing reliable prediction enhancements for vehicle safety systems. …”
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Imported and non-travel related cases of malaria in Europe – a ten-year analytic retrospective review by Ravishtaashini Vanitha, Franziska Abelein, Kalina P. Stoyanova

“…Conclusion: Malaria remains a significant health risk in Europe due to persistent patterns of travelling and increasing immigration. …”
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Dynamic Machine Learning-Based Simulation for Preemptive Supply-Demand Balancing Amid EV Charging Growth in the Jamali Grid 2025–2060 by Joshua Veli Tampubolon, Rinaldy Dalimi, Budi Sudiarto

“…To forestall instability, we developed a predictive simulation based on long short-term memory (LSTM) networks that combines historical generation and consumption patterns with models of EV population growth and initial charging-time (ICT). …”
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Smart Drug Delivery Systems Based on Single-Wall Carbon Nanotubes Loaded with Nanocurcumin Extract for Cancer Therapy and Toxicity by Marwa R. Jwameer, Sabah A. Salman, Farah T. M. Noori

“…The PEG-PEI-SWCNTs showed distinct crystalline structures and flaws, as well as a larger interlayer spacing, as evidenced by XRD patterns. After loading N. Cur, TEM analysis confirmed the presence of curcumin extract. …”
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Physical activity simultaneously improves working memory and ripple-spindle coupling by Xinyun Che, Benedikt Auer, Paul Schmid, Christoph Reichert, Annemarie Scholz, Tom Weischner, Robert T. Knight, Stefan Dürschmid

“…Neurophysiologically, PA scaled the ripple rate with the number of items to be kept in WM and strengthened the coupling between ripple events and wake spindle events. …”
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Minimal genetic change in Vibrio cholerae in Mozambique over time: Multilocus variable number tandem repeat analysis and whole genome sequencing. by Marcelino Garrine, Inácio Mandomando, Delfino Vubil, Tacilta Nhampossa, Sozinho Acacio, Shan Li, Joseph N Paulson, Mathieu Almeida, Daryl Domman, Nicholas R Thomson, Pedro Alonso, Oscar Colin Stine

“…Our data raises important questions related to where these isolates persist and how identical isolates can be collected years apart despite our understanding of high change rate of MLVA loci and the V. cholerae molecular clock.…”
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Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm by Fatemeh Hataminia, Anahita Azinfar

“…Consequently, the new pattern, PSLG, was selected for predicting MRI behavior.…”
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Research on disaster information dissemination based on social sensor networks by Shanshan Wan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, Ying Liu

“…Previous studies mainly focused on the impact of human mobility patterns on social sensor networks. In this article, based on the inherent autonomy property of human individuals, we propose a social sensor information dissemination model, which mainly focuses on the impact of the individual characteristics, social characteristics, and group information dissemination mode on social sensor networks. …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Using a mixed-methods approach, we analyzed implementation patterns and learning outcomes across humanities, STEM, and social sciences programs at multiple institutions. …”
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