Factors that influence the feasibility and implementation of a complex intervention to improve the treatment of peripheral arterial disease in primary and secondary care: a qualita... by Athanasios Saratzis, Vanessa Lawrence, Ruth Benson, Emma Watson, Prakash Saha, Clair Le Boutillier, Bernadeta Bridgwood

“…The consolidated framework for implementation research was then used as a matrix to explore patterns in the data and to map connections between the three participant groups. …”
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Antimicrobial resistance characterization of Staphylococcus aureus from different animal food origins in Jimma, South Western Ethiopia by Diriba Taddese, Mukarim Abdurahaman, Motuma Debelo, Eshetu Shumi, Gelana Urgessa, Dase Kefyalew, Moa Melaku, Tadele Kebeta, Gazali Abafaji

“…This study aimed to investigate the prevalence and antimicrobial resistance patterns of S. aureus isolated from various animal food sources in the Jimma zone of Ethiopia. …”
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Toward a physics-guided machine learning approach for predicting chaotic systems dynamics by Liu Feng, Yang Liu, Benyun Shi, Jiming Liu

“…Specifically, our method consists of three key elements: a data-driven component (DDC) that captures dynamic patterns and mapping functions from historical data; a physics-guided component (PGC) that leverages the governing principles of the system to inform and constrain the learning process; and a nonlinear learning component (NLC) that effectively synthesizes the outputs of both the data-driven and physics-guided components. …”
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Evaluating Urban Heat Island Effects in the Southwestern Plateau of China: A Comparative Analysis of Nine Estimation Methods by Ziyang Ma, Huyan Fu, Jianghai Wen, Zhiru Chen

“…This study investigates the spatiotemporal patterns and influencing factors of SUHII in 200 plateau cities across southwestern China via nine estimation methods that incorporate rural ranges and elevation-based conditions. …”
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Volatile-Olfactory Profiles of cv. Arbequina Olive Oils Extracted without/with Olive Leaves Addition and Their Discrimination Using an Electronic Nose by Ítala M. G. Marx, Nuno Rodrigues, Ana C. A. Veloso, Susana Casal, José A. Pereira, António M. Peres

“…Moreover, this finding also strengthened that olive oils extracted with or without olive leaves incorporation possessed quite different olfactory patterns, which also depended on the cultivar of the olive leaves.…”
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Organic molecules are deterministically assembled in variably inundated river sediments, but drivers remain unclear by James C. Stegen, Vanessa A. Garayburu-Caruso, Robert E. Danczak, Rosalie K. Chu, Amy E. Goldman, Sophia McKever, Lupita Renteria, Jason Toyoda, WHONDRS Consortium

“…This conceptual model aligns with previous work linking DOM chemistry to the Damköhler number and hydrologic connectivity, suggesting generalizable patterns and processes that can be further revealed by quantifying the stochastic-deterministic balance through space, time, and across scales.…”
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Use of acupuncture among chronic disease patients attending primary healthcare facilities: a cross-sectional study in Korea by Su Yeon Lee, Soo Jeung Choi, Hyea Bin Im, Dain Choi, Dongwoon Han

“…These items covered socio-demographic information, respondents’ health status, levels of acupuncture knowledge, and patterns of acupuncture use. Using the SPSS Statistics 26.0 Network Version program, descriptive statistics, a chi-square test, and a logistic regression analysis were performed to identify factors associated with acupuncture treatment. …”
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Mid-Late Holocene Stalagmite δ18O and δ13C Records in Naduo Cave, Guizhou Province, China by Jialu Wang

“…In other words, when δ18O was positive, it indicated weak summer monsoons and lower precipitation, which led to declines in vegetation, weakened biological activity, and decreased soil CO2 and positive δ13C. The reverse patterns were also true. Since 2.0 ka BP, the intensity of human activities and the transformation and influence of surface vegetation have increased, and native vegetation has been destroyed in large quantities. …”
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Road traffic crashes trends of severity and injuries in Osun state, Nigeria by Abayomi Afolayan, Adewole Oladele, Samson Olopade, Taiwo Adeoye

“…The Vector Autoregressive (VAR) model was applied to study the underlying patterns and forecast future values for the number of deaths and injuries for the year 2022. …”
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Molecular and Clinical Overview of Type 1 Neurofibromatosis: Single Center Study and Mini Review on NF1-Associated Vasculopathy and Juvenile Myelomonocytic Leukemia by Şule Altıner, Alper Han Çebi

“…Objective: Neurofibromatosis type 1 (NF1) is a genetic disorder presenting primary with variable patterns of skin pigmentation, neurofibromas and iris Lisch nodules. …”
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Resistance mechanisms involved in complex immunity of wheat against rust diseases by E. S. Skolotneva, E. A. Salina

“…The “zigzag” model is described in detail for discussing the molecular bases of plant immunity with key concepts: pathogen-associated molecular patterns triggering innate immunity, ambivalent effectors causing susceptibility, but when interacting with resistance genes, a hypersensitive reaction or alternative defense mechanisms. …”
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Changes in IL-16 Expression in the Ovary during Aging and Its Potential Consequences to Ovarian Pathology by Jessica Ramirez, Pincas Bitterman, Sanjib Basu, Animesh Barua

“…The frequencies of IL-16 expressing cells were significantly higher in ovarian stroma in women at early and late menopause as compared with premenopausal women (P<0.0001). Similar patterns were also observed for macrophages. Expression of miR-125a-5p decreased significantly (P<0.001) with the increase in IL-16 expression during aging. …”
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Network approaches and interventions in healthcare settings: A systematic scoping review. by Ameneh Ghazal Saatchi, Francesca Pallotti, Paul Sullivan

“…Despite the proliferation of studies based on Social Network Analysis (SNA) tools and techniques, we still know little about how intervention programs aimed at altering existing patterns of social interaction among healthcare providers affect the quality of service delivery. …”
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Evaluating Machine Unlearning: Applications, Approaches, and Accuracy by Zulfiqar Ali, Asif Muhammad, Rubina Adnan, Tamim Alkhalifah, Sheraz Aslam

“…ABSTRACT Machine learning (ML) enables computers to learn from experience by identifying patterns and trends. Despite ML's advancements in extracting valuable data, there are instances necessitating the removal or deletion of certain data, as ML models can inadvertently memorize training data. …”
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Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices by Sumitra Nuanmeesri

“…However, the CBAM lacks global context awareness, which may prevent it from capturing long-range dependencies or global patterns such as relationships between distant regions in the image. …”
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Positive and negative regulation of Gli activity by Kif7 in the zebrafish embryo. by Ashish Kumar Maurya, Jin Ben, Zhonghua Zhao, Raymond Teck Ho Lee, Weixin Niah, Ashley Shu Mei Ng, Audrey Iyu, Weimiao Yu, Stone Elworthy, Fredericus J M van Eeden, Philip William Ingham

“…Surprisingly, the function of Kif7 in the zebrafish embryo appears restricted principally to mesodermal derivatives, its inactivation having little effect on neural tube patterning, even when Sufu protein levels are depleted. …”
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Transgenic plants as genetic models for studying functions of plant genes by A. V. Kochetov, V. K. Shumny

“…However, expression patterns of some genes coding for S-like RNases were similar to some pathogen-responsive genes (both local and systemic induction after wounding or pathogen inoculation). …”
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Analysis of study Global Burden of Disease in 2021: global, regional, and national burden of nutritional deficiency from 1990 to 2021 by Jing Chen, Zedong Li, Hong Liu

“…Joinpoint regression analysis was applied to evaluate temporal trends, with Estimated Annual Percentage Change (EAPC) assessing long-term patterns.ResultsIn 2021, the global burden of NDs remained substantial, with a total of 1,845,246,558 cases with an ASPR of 23,858.99 cases per 100,000 individuals (95% UI: 23,445.77–24,320.82). …”
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Seq2Seq-based GRU autoencoder for anomaly detection and failure identification in coal mining hydraulic support systems by Kai Zhan, Cong Wang, Xigui Zheng, Chao Kong, Guangming Li, Wei Xin, Longhe Liu

“…Our proposed Recurrent Reconstruction Network model demonstrated excellent performance in complex coal mine hydraulic support data, effectively identifying anomalous regions and potential equipment failure characteristics while revealing potential deviations between model predictions and actual data, demonstrating its superior learning capability for periodic data patterns and equipment failure characteristics. Experimental results validated the effectiveness of the GRU-AE model in hydraulic support pressure anomaly detection and equipment fault diagnosis, providing an innovative technical solution for coal mine safety monitoring.…”
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Threat to fish food safety in Nigeria: Role of antimicrobial usage and resistance in aquaculture by Lukman Adegoke Agbabiaka, Favour Ogechi Onwuzuruigbo, Olatunji Abubakar Jimoh

“…Implementing surveillance programs to monitor antimicrobial usage and resistance patterns in aquaculture settings is essential.…”
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