Association between empirically driven dietary patterns and cardiometabolic disease risk factors: a cross-sectional analysis in disease-free adults by Arife Yilmaz, Michelle Weech, Vasiliki Bountziouka, Kim G. Jackson, Julie A. Lovegrove

“…Highest adherence to DP1 (Q4), characterised by diets rich in fermented dairy, fruits, vegetables, wholegrains, nuts/seeds, unsaturated fats/oils and milk and lower in red meat dishes and processed meat, was associated with a lower BMI, waist circumference, diastolic blood pressure, fasting triacylglycerol, non-high-density lipoprotein-cholesterol, remnant-like particle-cholesterol, and total cholesterol:HDL-C ratio and a higher HDL-C and AHEI-2010 score versus Q1 (all P ≤ 0.006). …”
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Transcriptome-wide analysis reveals potential roles of CFD and ANGPTL4 in fibroblasts regulating B cell lineage for extracellular matrix-driven clustering and novel avenues for imm... by Hongwei Wang, Yu-nan Zhu, Sifan Zhang, Kexin Liu, Rong Huang, Zhigao Li, Lan Mei, Yingpu Li

“…Single-cell transcriptome data from GSE161529 was processed for uncovering the differences among ECM clusters. …”
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Findings from a roundtable discussion with Pakistani stakeholders on measuring and valuing health and health-related quality of life for children and adolescents by Madeeha Malik, Azhar Hussain, Fredrick Dermawan Purba, Ning Yan Gu

“…Stakeholders agreed that adolescents aged 11 and above can complete valuation tasks and should be involved in data collection. Moreover, 33% of stakeholders (4 out of 12) specifically recommended using adult preferences initially due to budgetary and technical constraints, while 66% (8 out of 12) did not explicitly oppose using adult preferences initially, they emphasized the importance of involving adolescents in the process either concurrently or in subsequent phases. …”
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Mixed method study of feasibility and acceptability of electronic screening for measurement-based symptom monitoring of veterans accessing mental health treatment in VA community c... by Erin Almklov, Michael W. Lee, John D. Gault, Brian H. Blanco, Brian Huynh, Abigail Angkaw, Neal Doran, Niloofar Afari, James O. E. Pittman

“…Abstract Background 2022 survey data showed 29% of Veterans utilized Veterans Affairs (VA) paid health care at a non-VA facility, 6% higher than in 2021. …”
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Prevalence and spatio-demographic variability of nutrition-related health issues in Kiribati by Christopher D. Golden, Jessica Zamborain-Mason, Katherine L. Seto, Jessica A. Gephart, Jacob G. Eurich, Whitney Friedman, Heather M. Kelahan, Helen Murdoch, Kaaro Neeti, Michael K. Sharp, Eretii Timeon, Rosemary Tekoaua, Aritita Tekaieti, Julien Ayroles

“…Abstract The nutrition transition in Small Island Developing States like Kiribati has led to a significant shift from traditional diets to processed, imported foods, resulting in a double burden of malnutrition. …”
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Good mental health for people with intellectual disabilities: a participatory focus group study by Sophie Komenda-Schned, Sarah Jasmin Landskron, Paula Moritz, Nicole Braunstein, Josef Hochmeister, Karin Riegler, Robert Saugspier, Louise Hillenkamp, Brigitte Lueger-Schuster, Luis Salvador-Carulla, Elisabeth Lucia Zeilinger

“…Following a participatory research approach, people with ID acted as co-researchers throughout the research process, including data analysis. Results We found six themes constituting good mental health in people with ID: (1) physical health, (2) working and living environment, (3) social contacts, (4) appropriate support, (5) competencies, and (6) psychosocial functioning. …”
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Personalizing Muscle Tendon Parameters of Cerebral Palsy Patient’s Digital Model by Tinghan Xu, Yuanhao Liang, Lin Feng, Li Liu, Eric Yeung, Rong He, Michael To, Yong Hu

“…In this study, we collected ultrasound video data of the semitendinosus muscle from two patients with cerebral palsy during the passive knee extension process. …”
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Heat-induced transformation of nickel-coated polycrystalline diamond film studied in situ by XPS and NEXAFS by Olga V. Sedelnikova, Yuliya V. Fedoseeva, Dmitriy V. Gorodetskiy, Yuri N. Palyanov, Elena V. Shlyakhova, Eugene A. Maksimovskiy, Anna A. Makarova, Lyubov G. Bulusheva, Aleksandr V. Okotrub

“…The graphitization of diamond with and without a nickel coating as a result of high-vacuum annealing at a temperature of about 1100 °C was studied in situ using synchrotron-based X-ray photoelectron spectroscopy (XPS) and near-edge X-ray absorption fine structure (NEXAFS) methods. XPS data revealed the formation of a thin graphite-like film with low-ordered atomic structure on the surface of the nickel-coated PCD film. …”
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Artificial intelligence utilization in cancer screening program across ASEAN: a scoping review by Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, Owais Ahmed Malik

“…The use of AI in cancer screening reviews involved searches through PubMed, Scopus, and Google Scholar with the inclusion criteria of only included studies that utilized data from the ASEAN region from January 2019 to May 2024. …”
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Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth by Sunny Sun-Mack, Yongxiang Hu, Xiaomei Lu, Yan Chen, Ali Omar

“…The NN was trained with temporally and spatially matched ICESat-2 snow depth data from the 2018–2019 winter season. The trained NN was then applied to AMSR-2 clear-sky wide-swath observations for the 2018–2019 and 2019–2020 Arctic winters, generating daily snow depth estimates across Arctic sea ice.ResultsValidation against independent ICESat-2 data showed strong performance: the NN-based AMSR-2 snow depth retrievals had a near-zero bias and a root mean square error (RMSE) of 10 cm. …”
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Effect of β-alanine on humoral immune response in low-dose allergy model by D. B. Chudakov, O. D. Kotsareva, D. S. Tsaregorotseva, E. I. Kashirina, G. V. Fattakhova

“…To determine the mechanism of β-alanine effect, α-L-alanine, an isomer which is not MrgD receptor ligand, and β-aminoisobutyrate with β-alanine-like affinity to MrgD ligand, were compared. According to our data, β-alanine stimulated specific IgE and IgG1 production in a short-term course (7 immunizations) and enhanced antibody affinity after long-term (14 immunizations) protocol in the case of low-immunogenic protein Asp f 2. …”
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Gradual Variation-Based Dual-Stream Deep Learning for Spatial Feature Enhancement With Dimensionality Reduction in Early Alzheimer’s Disease Detection by Najmul Hassan, Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…These features are processed through a dual-stream DL model, where each stream captures complementary spatial features. …”
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Empirical Analysis of Honeybees Acoustics as Biosensors Signals for Swarm Prediction in Beehives by Kainat Iqbal, Bayan Alabdullah, Naif Al Mudawi, Asaad Algarni, Ahmad Jalal, Jeongmin Park

“…In particular, SVM with Mel Spectrogram as input data, achieved an accuracy of around 97%. On the other hand, CNN outperformed all the models and achieved an accuracy of 99%, using MFCC features as input data. …”
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Graph Based Cooperative Forwarding in Information Centric Vehicular Networks by Beri Surya Samantha, Nitul Dutta, Rajesh Mahadeva, Shashikant P. Patole, Gheorghita Ghinea

“…The rise of data intensive applications reveal the limitations of IP-based networking, particularly in dynamic vehicular environment. …”
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Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis by Christoph Neu, Manuela Wuelling, Christoph Waterkamp, Daniel Hoffmann, Andrea Vortkamp

“…As differentiation-associated state transitions are likely limited to a reduced set of genes, one challenge of such global analyses is the identification of these rare transitions within the large-scale data. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…Abstract Background Metaheuristic algorithms have been widely employed to solve optimization problems, but their application in analyzing health-related data remains limited. This is primarily due to the complexity of health data, particularly genomic and epigenetic datasets. …”
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Dynamical modeling of proliferative-invasive plasticity and IFNγ signaling in melanoma reveals mechanisms of PD-L1 expression heterogeneity by Seemadri Subhadarshini, Sarthak Sahoo, Shibjyoti Debnath, Jason A Somarelli, Mohit Kumar Jolly

“…We construct a minimal core regulatory network involving transcription factors implicated in this process and identify the multiple ‘attractors’ in the phenotypic landscape enabled by this network. …”
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Methodology for developing and evaluating food-based dietary guidelines and a Healthy Eating Index for Ethiopia: a study protocol by Tesfaye Hailu Bekele, Jeanne JHM de Vries, Laura Trijsburg, Edith Feskens, Namukolo Covic, Gina Kennedy, Inge D Brouwer

“…However, many African countries like Ethiopia do not have FBDGs. This paper describes the methodology for the development of Ethiopian FBDGs and for creating and evaluating a Healthy Eating Index and a scoring tool that can be used to monitor the adherence of the population to FBDGs.Methods and analysis A multidisciplinary technical working group will be tasked to develop FBDGs for the general population above 2 years of age based on identification of priority diet-related public health problems and risk factors, and a systematic review of dietary patterns in relation to the identified priority health outcomes, following a multistep process. …”
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MHD radiative mixed convective flow of a sodium alginate-based hybrid nanofluid over a convectively heated extending sheet with Joule heating by Yasmin Humaira, Bossly Rawan, Alduais Fuad S., Al-Bossly Afrah, Saeed Anwar

“…From the numerical data, it is concluded that the hybrid nanofluid has superior heat transfer characteristics compared to nanofluid. …”
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A Deep Learning Approach to Assist in Pottery Reconstruction from Its Sherds by Matheus Ferreira Coelho Pinho, Guilherme Lucio Abelha Mota, Gilson Alexandre Ostwald Pedro da Costa

“…Thus, given a 3D model of a complete vessel, it may be virtually broken down countless times for the production of sufficient data to meet deep neural network training demands. …”
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