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A systematic review protocol: Efficacy and safety of nitrous oxide in analgesia in burn patients with dressing change
Background: To alleviate pain in burn patients during dressing changes, it is necessary to identify an effective analgesic method. Conventional opioid analgesics have many limitations. Nitrous oxide is a fast-acting, safe and reversible inhaled analgesic gas. This systematic review will evaluate…
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Risk prediction for cardiovascular related diseases using PRS and EHR in the Framingham Heart Study
Cardiovascular disease is a leading cause of mortality and rising healthcare costs worldwide. Fortunately, the disease is preventable, and addressing risk factors can significantly reduce its effects. Over the past decade, risk prediction models have advanced significantly, with polygenic risk…
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Comfort in a cross-sector care delivery model to address birth inequities: Learnings from San Francisco’s Pregnancy Village
Introduction: Comfort is a key factor in physical and mental health, influencing overall well-being. Though once seen as peripheral to the patient care experience, it is now recognized as a critical outcome. For Black and other historically minoritized birthing individuals—who face racism…
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Morbidity burden and predictors of hospitalization among unaccompanied migrants and persons prone to statelessness in Ghana
A proportion of global migration involves individuals migrating without parental or legal guardianship and those who face varied barriers to citizenship. Yet empirical evidence on their morbidity burdens and hospitalization particularly in Ghana and similar context remains scarce. This limits…
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Hybrid feature-selection and diversity-guided stacking framework for interpretable ensemble learning: Application to COVID-19 mortality prediction
Background: Reliable predictive modeling in high-dimensional biomedical data requires a balance between accuracy, interpretability, and computational efficiency. However, existing ensemble methods often overlook model diversity or rely on ad hoc feature-selection approaches, which limit…
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MMP-2 associated imbalance of VEGF/Endostatin is linked to suppression of the PI3K/AKT/HIF-1α pathway in steroid-induced osteonecrosis of femoral head
Objective: To investigate the role of matrix metalloproteinase-2 (MMP-2) and the imbalance between vascular endothelial growth factor (VEGF) and Endostatin in the pathogenesis of steroid-induced osteonecrosis of femoral head (SONFH). Methods: Clinical samples and animal models were combined to…
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A tripartite multifactorial analysis of abstract anaphoric choice between this and this +NP in Chinese L2 English argumentative writing: Extending the usage-based approach to discourse alternation
The usage-based approach has documented L2 learners’ general convergence with native speakers in the probabilistic constraint patterns governing syntactic alternations. However, whether this convergence pattern extends to discourse-level phenomena remains an open question. This study addresses this…
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IM-NSGAII: A novel approach to boost convergence speed and population diversity in multi-objective optimization
Convergence speed and population diversity have long been central concerns in multi-objective evolutionary algorithms. However, the NSGAII algorithm often shows insufficient ability to maintain diversity when facing complex Pareto fronts. To address this issue, an improved NSGAII algorithm…
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Wave frequency selection method for hyperspectral hyperspectral remote sensing image based on SSGIE-KFCM algorithm
In hyperspectral remote sensing image band selection, there exist issues such as poor nonlinear separability, high redundancy, and the tendency of traditional optimization algorithms to get trapped in local optima. In an effort to tackle these obstacles, the research puts forward an improved band…
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AI literacy among basic school teachers in Ghana: A structural equation modelling analysis
Understanding the synergy of Artificial Intelligence (AI) literacy among teachers is imperative for successful integration in educational settings. This study examined basic school teachers’ (BSTs) AI literacy based on four key aspects: AI knowledge and understanding (KUAI), AI application (AAI)…
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An explainable multi-head attention network for healthcare IoT threat detection based on the MedDefender-MHAN framework
The rapid proliferation of Internet of Medical Things (IoMT) devices in healthcare environments has created critical cybersecurity vulnerabilities that demand both accurate and interpretable intrusion detection solutions. Existing deep learning-based intrusion detection systems (IDS) achieve high…
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Identification and detection of genetic markers associated with antimicrobial susceptibility and evaluation of efflux pump mechanisms in Mycoplasma iowae
Mycoplasma iowae is an economically significant pathogen that causes reduced hatchability, late embryo mortality and leg deformities, chondrodystrophy and skeletal lesions in poults. While prevention is essential in the control of infection, the appropriate administration of antibiotics may reduce…
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Malaria incidence rose following the introduction of neonicotinoid-based IRS in selected districts in northern Ghana: An observational analysis
In Ghana, indoor residual spraying (IRS) has been a key intervention for malaria control since 2008. After seven years of IRS with an organophosphate insecticide, which substantially reduced malaria incidence, IRS programs transitioned to neonicotinoid-based products between 2018 and 2019 as part…
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Multiomics profiling of zebrafish embryonic cell line PAC2 across growth phases to assess its relevance for toxicological studies
Permanent fish cell lines offer promising alternatives to traditional animal models for environmental risk assessment of chemicals. However, to facilitate broader uptake into toxicity testing practice, a better understanding of functional capacities and expression of toxicologically relevant…
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Measuring reading time: Comparing logged and self-reported data in relation to reading skills
Background: Children’s reading time at home plays a critical role in their reading development. However, existing measures of reading time, based on self-reports, are often biased. Logged data from mobile apps may offer a more reliable alternative, as shown in studies examining screen time in…
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Real-time torque behavior of reciprocating nickel–titanium instruments using different irrigating solutions
Reciprocating nickel–titanium instruments generate mechanical stress during root canal preparation, which may affect instrument safety. Although instrument design is known to influence torque generation, the effect of different irrigating solutions on the real-time operative torque remains unclear…
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High-versus conventional-volume pericapsular nerve group (PENG) block for total hip arthroplasty: A randomized, controlled trial
Background: Currently, the optimal volume of pericapsular nerve group (PENG) block for analgesia after total hip arthroplasty (THA) has not been clarified. In this trial, we investigated whether a high-volume PENG block has a superior analgesic effect than a conventional PENG block for primary THA…
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First insights into the intestinal microbiota of the endangered Angler Saddleback pig
The Angler Saddleback pig is an endangered local breed from northern Germany, characterized by high genetic diversity and exceptional meat quality, but with reduced growth performance compared to commercial pigs. As intestinal microbiota is known to influence health, metabolism, and fat deposition…
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