Research on Seepage Characteristics of Y-Shaped Fractures under Different Fracture Roughness by Ruifeng Tang, Jing Xie, Shouning Xue, Zhilong Zhang, Junjun Liu, Bengao Yang

“…The increase in the fracture roughness will lead to a significant flow rate and momentum loss, resulting in maximum loss up to 45.44%, besides, enhance the flow resistance of the fracture, Re increasing by 771, 713, 489, and 355, respectively, at four patterns. And there is a threshold DM between 1.1 and 1.2 so that the major influencing factor on hydraulic conductivity changes. …”
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The context signals of mitochondrial miRNAs (mitomiRs) of mammals by O. V. Vishnevsky, P. S. Vorozheykin, I. I. Titov

“…For three species in the group mitomiRs/non-mitomiRs and the group of all miRNAs from the miRBase database statistically overrepresented 8-letter motifs were identified (p-value < 0.01 with Bonferroni correction for multiple comparisons), for these motifs the patterns of the localization in functionally important regions for different types of miRNAs were found. …”
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Drug administration errors among anaesthesia providers in South Africa: a cross-sectional descriptive study by René van Wyk, Ryan Alroy Davids

“…The aim was to determine the self-reported frequency, nature, contributing factors and reporting patterns of DAEs among anaesthesia providers in South Africa. …”
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Study on the effects of land use transformation on habitat quality and its driving mechanisms: a case study of the Qin-Mang River Basin by Jiwei Zhao, Luyao Wang, Dong Jia, Yaowen Wang

“…It employs a land use transfer matrix to analyze the dynamic trends and patterns of LUCC. HQ changes are evaluated using the InVEST model, and the GeoDetector model is used to identify the key driving factors and their interactions. …”
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Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…The Champernowne distribution’s robustness makes it a valuable tool for wind energy assessments, especially in regions with intermittent wind patterns, providing a foundation for more accurate modeling and energy planning.…”
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From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election by Gustavo Morales, Gustavo Morales, Augusto Salazar, Diego Puche

“…Focusing on the 2020 US presidential election, this research investigates how Twitter/X structures online communities with specific socialization patterns and ways to construct the truth. The rise of these platforms has sparked debate with split conclusions over whether they are enhancing or undermining democratic processes. …”
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Physiological differences in cardiopulmonary exercise testing between children and adults by Valentina Papic, Romina Ledergerber, Ralf Roth, Raphael Knaier

“…These age- and sex-specific patterns highlight the need for further longitudinal research to clarify the roles of growth and training on these parameters. …”
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Heterothallism and potential hybridization events inferred for twenty-two yellow morel species by Xi-Hui Du, Dongmei Wu, Heng Kang, Hanchen Wang, Nan Xu, Tingting Li, Keliang Chen

“…Different evolutionary patterns were suggested for MAT genes between the Esculenta and the Elata Clades. …”
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Understanding Youth Athlete Motivation, Training, and Activity Progression During and After the COVID-19 Sports Interruption by Elliot Greenberg, Eric Greenberg, J. Todd Lawrence, Theodore Ganley

“…The physical conditioning, sports training habits, and patterns of sports activity resumption upon returning to normal sports activity are currently unknown…”
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EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

“…With the use of innovative deep learning techniques, this research seeks to improve the diagnosis of ADHD using EEG data. To capture complex patterns in EEG data, this study proposes a double-augmented attention mechanism ResNet-based model. …”
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Determinants of Intraocular Pressure (IOP) of Glaucoma Patients at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia by Mitiku Wale Muluneh, Shewayiref Geremew Gebremichael

“…Glaucoma is a leading cause of irreversible blindness in the world associated with characteristic damage to the optic nerve and patterns of visual field loss due to retinal ganglion cell degeneration. …”
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Prevalence and social determinants of smoking among men in Mauritius: a cross-sectional study by Miguel San Sebastián, Tuomilehto Jaakko, Stefan Söderberg, Paul Zimmet, Bhushan Ori, Jaysing Heecharan, Osvaldo Fonseca-Rodríguez, Sudhirsen Kowlessur

“…Regular monitoring focuses on the prevalence of tobacco use, yet there is a gap in understanding its socio-economic patterns. Objective The aim of this study was to estimate the prevalence of tobacco smoking and to identify the social determinants associated with smoking among men in Mauritius in 2021. …”
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FABP6 Expression Correlates with Immune Infiltration and Immunogenicity in Colorectal Cancer Cells by Wenping Lian, Zhongquan Wang, Yajie Ma, Yalin Tong, Xinyu Zhang, Huifang Jin, Shuai Zhao, Ruijing Yu, Shaotan Ju, Xinyun Zhang, Xiaona Guo, Tao Huang, Xianfei Ding, Mengle Peng

“…Different cell types showed the synergistic or antagonism infiltration patterns. Enrichment analysis of DEGs revealed that immune-related signaling was significantly activated in hot tumors, while metabolic process pathways were altered in cold tumors. …”
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Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection by Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

“…Then, a Spatiotemporal Autoencoder is adopted to realize unsupervised anomaly detection by learning normal behavior patterns and deviations from them as anomalies. The methods proposed here yield significant improvements of about 10% to 15% in precision, recall, and F1-scores over traditional models. …”
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Dietary Shifts Among the Developmental Stages of the Ectoparasite, Argulus japonicus (Crustacea; Branchiura), Mirror Ontogeny as Shown Through Differences in Stable Isotope Ratios... by Beric M. Gilbert, Milen Nachev, Bernd Sures, Annemariè Avenant‐Oldewage

“…Secondly, fractionation patterns among developmental stages would relate to different fish tissues and particles, such as algae, ingested by the parasite. …”
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An Innovative Solution to Design Problems: Applying the Chain-of-Thought Technique to Integrate LLM-Based Agents With Concept Generation Methods by Shijun Ge, Yuanbo Sun, Yin Cui, Dapeng Wei

“…Moreover, participants maintained their distinct physiological patterns and performance advantages across different concept generation methods. …”
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Impact of nutrient dynamics on chlorophyll-a concentrations in non-interconnected lakes: A study in the Vellore and Chennai region by Raghul Mageswaran, Porchelvan Ponnusamy

“…Non-interconnected lakes exhibited uniform seasonal patterns in nutrient levels. PCA identified turbidity, total phosphate, and total nitrate as major contributors to chlorophyll-a variability. …”
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Aukus (Australia-united kingdom-united states) threat to Indo-pacific security by Ismiyatun Ismiyatun, Ita Puji Lestari

“…For data analysis, a thematic analysis method was used to identify and interpret patterns within the literature. The research results show: the impact of defense spending in the Indo-Pacific can be influenced by changes in regional dynamics caused by the AUKUS agreement. …”
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Factors influencing food preferences and eating behaviour among the Forcibly Displaced Myanmar Nationals (FDMN) adolescents in Cox’s Bazar, Bangladesh: a cross-sectional survey by Mahamudul Hasan, Azaz Bin Sharif, Rashedul Islam, A B M Nahid Hasan, Nusrat Jahan Ferdous

“…Respondents’ sociodemographic characteristics and dietary patterns, as well as the participant’s nutritional status, were recorded. …”
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Clinical trial participation, clinical care, and patient outcomes by practice setting: a real-world database analysis of patients with Chronic Lymphocytic Leukemia or Mantle Cell L... by Debora S. Bruno, Manoj Khanal, Xiaohong Li, Maricer P. Escalon, Katherine Winfree, Lisa M. Hess

“…Objective This study was designed to compare treatment patterns, clinical trial participation, and clinical outcomes among patients with small lymphocytic lymphoma/chronic lymphocytic leukemia (CLL) or Mantle cell lymphoma (MCL) by site of care.Methods A nationwide electronic health record (EHR)-derived de-identified database was utilized for this study. …”
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