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  1. 5401
  2. 5402

    Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach by Mandana Kariminejad, David Tormey, Caitríona Ryan, Christopher O’Hara, Albert Weinert, Marion McAfee

    Published 2024-11-01
    “…The multi-objective optimisation techniques, composite desirability function and Nondominated Sorting Genetic Algorithm (NSGA-II) using the Response Surface Methodology (RSM) model, are compared with the real-time novel ADoE approach. …”
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  3. 5403

    Estimation of Health State Utility Values in Fabry Disease Using Vignette Development and Valuation by Derralynn Hughes, Andrew Lenny, Koonal Shah, Louise Longworth, Giovanna Devercelli, Olulade Ayodele

    Published 2023-04-01
    “…Each vignette was valued in an online survey by members of the United Kingdom (UK) general population using the composite time trade-off (TTO) method, which aims to determine the time the respondent would trade to live in full health compared with each impaired health state…”
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  4. 5404

    Nutritional, Phytochemical, and In Vitro Antioxidant Activity Analysis of Different States of Soy Products by Rahat Bin Robbani, Md. Munnaf Hossen, Kanika Mitra, Md. Zahurul Haque, Md. Abu Zubair, Shumsuzzaman Khan, Md. Nazim Uddin

    Published 2022-01-01
    “…In this study, we aimed to reveal the nutrient compositional differences of various states of soy flours. …”
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  5. 5405

    Universal health care delivery mitigates socioeconomic-related risk for adverse outcomes in hospitalised patients: Lessons from the COVID-19 pandemic in Australia. by Fahimeh Faqihi, Rita Perri, Jimmy Chien, Jin-Gun Cho, Stephen Milne, Shopna Bag, Nicole Gilroy, John R Wheatley, Kristina Kairaitis

    Published 2025-01-01
    “…A generalised linear regression model of demographic features, co-existing conditions, and socioeconomic status was used to determine the risks of the composite outcome.…”
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  6. 5406

    SimProx: A Similarity-Based Aggregation in Federated Learning With Client Weight Optimization by Ayoub El-Niss, Ahmad Alzu'Bi, Abdelrahman Abuarqoub, Mohammad Hammoudeh, Ammar Muthanna

    Published 2024-01-01
    “…Traditional aggregation methods, such as Federated Averaging (FedAvg), often assume uniform client contributions, leading to suboptimal global models in heterogeneous data environments. …”
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  7. 5407
  8. 5408

    A novel therapy targeting the gut–liver axis for chronic hepatitis B: Ursodeoxycholic acid plus Bifidobacterium by Zhen Xun, Xiaobao Yao, Caorui Lin, Xinyao Yang, Yanfang Zhang, Xin Yang, Yujue He, Renquan Jiang, Yanping Lan, Yuchen Ye, Detai Ye, Shanjian Chen, Ke Ma, Wennan Wu, Siyi Xu, Bin Yang, Can Liu, Jing Chen, Qi Zheng, Qishui Ou

    Published 2025-08-01
    “…We aimed to assess the therapeutic efficacy of targeting the gut microbiota-bile acid (BA) axis using ursodeoxycholic acid (UDCA) combined with the probiotic Bifidobacterium to treat chronic hepatitis B (CHB). Methods: BA profiles were characterized by mass spectrometry, and gut microbiota composition was analyzed using 16S rRNA sequencing in patients with CHB and healthy controls (HCs). …”
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  9. 5409

    Pion pair production in e + e − annihilation at next-to-leading order matched to Parton Shower by Ettore Budassi, Carlo M. Carloni Calame, Marco Ghilardi, Andrea Gurgone, Guido Montagna, Mauro Moretti, Oreste Nicrosini, Fulvio Piccinini, Francesco P. Ucci

    Published 2025-05-01
    “…In particular, we carry out a detailed discussion on the inclusion of the pion form factor in the virtual sQED corrections according to two independent methods, inspired by the generalised vector meson dominance model and the dispersive approach, respectively. …”
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  10. 5410

    Association of urban green and blue space with accelerated ageing: A cohort Study in the UK Biobank by YiNi Wang, XinYu Shi, Fei Yang, ShengYuan Wang, TianShu Han, Kun Ma

    Published 2025-01-01
    “…General linear models and logistics models assessed links between UGBS and accelerated ageing (Klemera-Doubal method, telomere length and frailty). …”
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  11. 5411
  12. 5412
  13. 5413

    Predicting incident type 2 diabetes in a Japanese cohort: an 8-year analysis of the NAGALA database by Yangchun Wang, Fei Liu, Ruixiang Tong, Zhonghua He, Qin Fang, Jie Feng, Hongliang An, Junjun Liu

    Published 2025-05-01
    “…The ability of individual components and a composite risk score to discriminate was assessed using Receiver Operating Characteristic (ROC) curves.ResultsOver an average follow-up duration of 2207.82 ± 1379.73 days, 262 patients (1.7%) had the onset of T2DM. …”
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  14. 5414

    Combinatorial Data‐Driven Innovation of Ecofriendly Transparent Solar Heat Control Coating for Green Buildings by Weibin Zhang, Man Kwan Law, Muhammad Bilal Asif, Jinglei Yang

    Published 2025-06-01
    “…However, many studies have focused only on TSHC coatings composed of single functional nanoparticles, and the development of these coatings traditionally relied on trial‐and‐error methods. Herein, we propose a real experimental data‐driven tandem neural networks (NNs) model, comprising spectrum NNs and inverse design NNs, for the combinatorial innovation, development, and optimization of TSHC coatings. …”
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  15. 5415

    Outcomes for older people with screening-detected versus existing chronic kidney disease: a cohort study with data linkage by Anna K Forbes, José M Ordóñez-Mena, Winnie Mei, Clare J Taylor, Nicholas Jones, Jennifer A Hirst, FD Richard Hobbs

    Published 2025-04-01
    “…Design & setting: Prospective cohort study of 892 primary care patients aged ≥60 years with CKD (existing and screening detected) in Oxfordshire, with data linkage to civil death registry and secondary care. Method: Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazard models to compare the risk of all-cause mortality, hospitalisation, CVD, ESKD separately, and as a composite between CKD groups, as well as to identify factors associated with mortality. …”
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  16. 5416

    Sex differences in the association of cardiometabolic risk scores and blood pressure measurements with white matter hyperintensities in diverse older adults—HABS-HD by Cellas A. Hayes, Raul Vintimilla, Soumilee Chaudhuri, Soumilee Chaudhuri, Michelle C. Odden

    Published 2025-08-01
    “…A second BP model also controlled for all five risk factors.ResultsDiabetes (β = 0.46, 95% CI 0.28–0.64), hypertension (β = 0.47, 0.30–0.64), and higher composite risk (β = 0.19, 0.12–0.26) were associated with greater WMHV. …”
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  17. 5417

    Downhole Coal–Rock Recognition Based on Joint Migration and Enhanced Multidimensional Full-Scale Visual Features by Bin Jiao, Chuanmeng Sun, Sichao Qin, Wenbo Wang, Yu Wang, Zhibo Wu, Yong Li, Dawei Shen

    Published 2025-05-01
    “…Additionally, a multi-scale luminance adjustment module is integrated to merge features across perceptual ranges, mitigating localized brightness anomalies such as overexposure. The model is structured around an encoder–decoder backbone, enhanced by a full-scale connectivity mechanism, a residual attention block with dilated convolution, Res2Block elements, and a composite loss function. …”
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  18. 5418

    Enhancing Spatial Allocation of Pediatric Medical Facilities for Reduced Travel-Related CO<sub>2</sub> Emissions: A Case Study in Tianjin, China by Hongjie Dong, He Zhang, Rui Wang, Yutong Zhang, Yuxue Zhang, Lisha Zhang

    Published 2025-01-01
    “…Therefore, methods for enhancing the spatial allocation of pediatric medical facilities are proposed. …”
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  19. 5419

    Factors determining cognitive, motor and language scores in low birth weight infants from North India. by Ravi Prakash Upadhyay, Sunita Taneja, Suman Ranjitkar, Sarmila Mazumder, Nita Bhandari, Tarun Dua, Laxman Shrestha, Tor A Strand

    Published 2021-01-01
    “…Factors influencing cognitive, motor and language scores were determined using multivariable linear regression model.<h4>Results</h4>Linear growth (i.e., length for age z score, LAZ) [cognitive: Standardized ẞ-coefficient = 2.19, 95% CI; 1.29, 3.10; motor: 2.41, 95% CI; 1.59, 3.23; language: 1.37, 95% CI; 0.70, 2.04], stimulation at home [cognitive: 0.21, 95% CI; 0.15, 0.27; motor: 0.12, 95% CI; 0.07, 0.17; language: 0.21, 95% CI; 0.16, 0.25] and number of diarrhoeal episodes [cognitive: -2.87, 95% CI; -4.34, -1.39; motor: -2.62, 95% CI; -3.93, -1.29; language: -2.25, 95% CI; -3.32, -1.17] influenced the composite scores in all three domains i.e., cognitive, language and motor. …”
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  20. 5420

    Reduction in cardiovascular disease events in patients with type 2 diabetes mellitus treated with a sodium–glucose cotransporter 2 inhibitor versus a dipeptidyl peptidase-4 inhibit... by A. Kashiwagi, S. Shoji, S. Onozawa, Y. Kosakai, M. Waratani, Yu. Ito

    Published 2023-05-01
    “…Outcomes included hospitalization for heart failure (hHF), all-cause death (ACD) and the composite of hHF or ACD. Hazard ratios (HR) were calculated using the inverse probability weighting Cox proportional hazards model to compare CVD event risks between treatment groups.RESULTS: Compared with DPP4i, SGLT2i was associated with a significant reduction in hHF risk among patients without a CVD history (HR 0.507, 95% confidence interval 0.283–0.907), but not in the full cohort or those with a CVD history. …”
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