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Abstract Background Existing research suggested that the intratumoral microbiome participates in the progression and metastasis of lung cancer. However, its role in distinguishing benign from early-stage malignant pulmon...

Abstract Underwater imaging suffers from various challenges such as color distortion, low contrast, and reduced visibility caused by light attenuation. Addressing these issues is crucial for improving the performance of ...

Background: Over-the-counter (OTC) medications enable self-care but require accurate counseling to prevent misuse, particularly in multilingual settings with limited health literacy. Pharmacists provide expert guidance; ...

Background Undernutrition is a leading risk factor for tuberculosis (TB) mortality and poor treatment outcomes. We evaluated the cost-effectiveness of providing in-kind nutritional support to impoverished persons with TB...

Background. Deciding whether to participate in a radiotherapy trial is complex for patients with head and neck cancer. Standard patient information leaflets meet ethical requirements but do not provide balanced compariso...

BackgroundHeterozygous STAT3 protein variants acting by dominant-negative (DN), gain-of-function (GOF), or haploinsufficiency (HI) mechanisms have been associated with different clinical/immunological phenotypes. However...

BackgroundMigraine is a common neurological disorder that substantially affects patients’ quality of life. Chinese botanical drug decoctions are used in migraine management; however, the comparative efficacy and safety...

BackgroundLast-mile logistics accounts for approximately 28% of total logistics costs and is a major contributor to urban carbon emissions. The integration of drones with electric trucks offers a path toward more efficie...

The integration of renewable energy sources into modern power systems is a global priority aimed at reducing carbon emissions, decreasing fossil fuel dependency, and advancing sustainable development goals. In this conte...

Abstract The zero forcing (ZF) and the and minimum mean square error (MMSE) conventional algorithms has been widely employed as near-optimal detectors for large-scale multiple-input multiple-output (LS-MIMO) systems, whe...

ObjectiveThis study aimed to identify core inflammatory biomarkers through machine learning approaches and develop an accessible online risk calculator to predict pulmonary consolidation in children with Chlamydia pneumo...

Abstract Internet of Things (IoT) is increasingly realized through large scale deployments of heterogeneous devices and gateways operating under strict energy budgets and interference limited links, which motivates relia...

Abstract Differentially private stochastic gradient descent is a standard algorithm for training deep models on sensitive data, but under tight privacy budgets it must add large noise to every step, which slows convergen...

Xiaoying Wang,1,* Yuanyuan Ning,2,* Xiaojuan Wang,1 Guangli Li,1 Dong Wu,1 Xiaowu Wang,3 Zhen Huang4 1Department of Pharmacy, Fuyang People’s Hospital, Fuyang, Anhui, 236000, People’s Republic of Chin...

Abstract Background Occupational therapy practices are expanding in Turkey; however, pediatric professionals lack validated, client-centered assessment instruments for children with attention-deficit/hyperactivity disord...

Abstract Background Characterisation of CT detected ovarian masses is challenging with overlapping imaging features, unreliable biomarker or clinical presentation. We proposed a two-staged CT-based radiomics model to ide...

Background. Respiratory infections remain a major global health burden with significant economic impact. The di-versity of viral pathogens and variability in diagnostic approaches complicate etiological verification in l...

Reducing radiation damage is becoming a crucial factor in the development of future electron microscopes. The concept of interaction-free imaging utilizing a Mach–Zehnder interferometer has been proposed originally in....