Microplastic contamination and growth pattern of oyster; Crassostrea gigas in a coastline by L. Kasmini, A.S. Batubara

“…The analysis of the growth patterns revealed that the growth of oysters at each location was not optimal (b <3 or negative allometric).CONCLUSION: In 500 oyster samples collected, 139 were contaminated with microplastics. …”
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3D Woven interlocking patterns with enhanced mechanical and thermophysical characteristics by Amna Siddique, Danish Mahmood Baitab, Muhammad Imran Khan, Muhammad Ayub Asghar, Ali Afzal, Muhammad Umair

“…This research focuses on developing 3D woven structures with novel orthogonal through-the-thickness interlocking patterns: warp interlocked (WP-IL), weft interlocked (WT-IL), and hybrid interlocked (HB-IL) by using warp and weft yarns simultaneously for interlocking fabric layers. …”
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The effects of acute exercise on emotional pattern separation in adolescents and young adults by Lise Jennen, Victor Mazereel, Davy Vancampfort, Zhiling Qiao, Kristof Vansteelandt, Patrick Dupont, Aleksandra Lecei, Ruud van Winkel

“…Additionally, previous research has shown an emotional modulatory effect on pattern separation, involving the amygdala. …”
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Cell-biology effective interpretation of the Ising model describing skin color patterning by Muhamet Ibrahimi, Szabolcs Zakany, Michel C. Milinkovitch

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Nasal Profile and Its Relationship with Sagittal Dentoskeletal Pattern and Age in Iranian Adults by Mahdis Jahanbakhsh, Alireza Ghaderi Namin, Zohreh Reyhani, Farzane Ahmadi, Azin Nourian

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Identifying systematic heterogeneity patterns in genetic association meta-analysis studies. by Lerato E Magosi, Anuj Goel, Jemma C Hopewell, Martin Farrall, CARDIoGRAMplusC4D Consortium

“…Q, I2) are not suited to identifying locus-specific from more systematic multi-locus or genome-wide patterns of heterogeneity. We have developed and evaluated an aggregate heterogeneity M statistic that combines between-study heterogeneity information across multiple genetic variants, to reveal systematic patterns of heterogeneity that elude conventional single variant analysis. …”
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Characteristics, Outcomes, and Cost Patterns of High-Cost Patients in the Intensive Care Unit by Peter M. Reardon, Shannon M. Fernando, Sasha Van Katwyk, Kednapa Thavorn, Daniel Kobewka, Peter Tanuseputro, Erin Rosenberg, Cynthia Wan, Brandi Vanderspank-Wright, Dalibor Kubelik, Rose Anne Devlin, Christopher Klinger, Kwadwo Kyeremanteng

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Surface patterning for multi-scale strain analysis of in-situ SEM mechanical experiments by Bin Zhang, Xianjue Ye, Jin Wang, Yuefei Zhang, Ze Zhang

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Cinical, morphological and functional comparisons in acute period of ischemic hemispheric stroke by A. A. Kuznetsov

“…The aim of the research was the optimization of diagnostic and prognostic approaches in patients in acute period of ischemic supratentorial stroke depending on lateralization of lesion focus on the basis of clinical, computed tomography and computed electroencephalography investigations. …”
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Analysis of students' dual processes in solving number pattern questions and providing scaffolding by Ganis Irma Firnanda, Susiswo

“…This research aims to describe students' dual-process in solving number pattern questions and scaffolding that support students' dual-process. …”
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Clopidogrel Use in Saudi Arabia: Prescription Patterns and Prevalence of Common Concurrent Medications by Aljoharah M. Algabbani, Sumaya N. Almohareb, Adel A. Alrwisan

“…Methods: This was a retrospective descriptive analysis using secondary data from the Real-world Evidence Research Network, covering the period from 2016 to 2023. …”
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Research on GNNs with stable learning by Wenbin Li, Wenxuan Wei, Peiyang Wang, Li Pan, Bo Yang, Yanling Xu

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Unlocking the Potential of Artificial Intelligence in Pharma Research and Development: Insights from Investor and Researcher Perspectives by Iakovos Kritikos, Andreas Sarantopoulos, Anastasios Roumeliotis, Julia Vasiliades, Ioannis Matsinas

“…The questionnaire examined respondents’ experiences with artificial intelligence tools, investment patterns, and perceived research outcomes. Statistical methods such as logistic regression and chi-square tests were employed to analyze correlations between investment strategies and research efficiency. …”
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Research on the evolution and prediction of the heights of water-conducting fracture zones in overlying rocks during layered mining of extremely thick coal seams by MENG Hailun, CHENG Xianggang, QIAO Wei

“…Based on the geological conditions of the extremely thick coal seams in the Jurassic coalfields of Xinjiang, this research selected the parameters of the typical working face 9-15 (08) in the Liuhuanggou Coal Mine of the Zhunnan Coalfield in Xinjiang, quantitatively evaluated the development characteristics and evolution patterns of the overlying rock fracture fields under layered full-mechanized mining of extremely thick coal seams through numerical simulations and fractal geometry theory analysis. …”
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GINSER: Geographic Information System Based Optimal Route Recommendation via Optimized Faster R-CNN by S. D. Anitha Selvasofia, B. SivaSankari, R. Dinesh, N. Muthukumaran

“…These systems often fail to integrate accident-prone zone detection with traffic congestion management and cannot provide a real time congestion-free route. This research aims to address these challenges by developing a geographic information system (GIS)-based optimal route recommendation model GINSER using advanced deep learning techniques. …”
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Natural Selection Shaped Codon Usage Patterns in Wheat Dwarf Virus in Triticale by Jiuli Wang, Xinhang Lu, Jiaying Dong, Jiaqian Liu, Borui Guo, Chen Zhang, Jing Liu, Hongxia Wang

“…These findings demonstrate that WDVT balances mutational constraints and host adaptation through selective codon optimization. This study provides a foundation for codon-based antiviral research and the development of agricultural strategies to combat WDV infections.…”
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Matching Pattern and Regional Regulation of Agricultural Water and Land Resources in Heilongjiang Province by Hou Shutao, Yuan Weihao, Chen Jianlong, Wang Shuo, Chen Yuqi, Li Quanfeng

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Energy Efficiency in Smart Buildings through Prediction modeling and Optimization Using a Modified Whale Optimization Algorithm by El Assri Nasima, Ennejjar Mohammed, Jallal Mohammed Ali, Chabaa Samira, Zeroual Abdelouhab

“…In addition to predictive analysis, this study utilizes a Modified Whale Optimization Algorithm (MWOA) to optimize energy consumption. …”
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Topology Optimization of Textured Journal Bearings by Hanqian Kong, Chunxing Gu, Di Zhang, Lanfei Wu

“…This approach precisely determines the spatial and depth characteristics of texture elements, ensuring their optimal placement and geometry, and offers valuable insights and directions for future research.…”
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The Effect of Caffeine Exposure on Sleep Patterns in Zebrafish Larvae and Its Underlying Mechanism by Yuanzheng Wei, Zongyu Miao, Huixin Ye, Meihui Wu, Xinru Wei, Yu Zhang, Lei Cai

“…Furthermore, the study analyzed the expression of clock genes (bmal1a, per1b, per2, per3, cry2), adenosine receptor genes (adora1a, adora1b, adora2aa, adora2ab, adora2b), and key regulatory factors (CREB and ADA). The research confirmed that caffeine could induce sleep pattern disorders, significantly upregulate adenosine receptor genes (adora1a, adora1b, adora2a, adora2ab, adora2b) (<i>p</i> < 0.05), and markedly decrease the total sleep time and sleep efficiency of the larvae. …”
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