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The article is devoted to modelling the growth of thin films on the surfaces of crystals having a similar crystal structure with a small parameter of mismatch of the lattice of substances from which the film and the crys...

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...

In this paper, we are concerned with the conjugate gradient method for solving unconstrained optimization problems due to its simplicity and don’t store any matrices. We proposed two spectral modifications to the conju...

This paper presents two new spectral conjugate gradient methods which are designed for solving nonlinear unconstrained optimization problems. These methods are based on the idea of the Hideaki – Yasushi method. Which p...

ABSTRACT This paper describes a procedure which combines between the Wilkinson and Aitken methods in order to obtain a best approximation of the greatest eigenvalue. Both the symmetric and the nonsymmetric matrices are s...

Abstract The self-scaling VM-algorithms solves an unconstrained non-linear optimization problems by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigen-values...

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 ...

Immune‐mediated hemolytic anemia (IMHA) causes severe anemia in dogs and is associated with considerable morbidity and mortality. Treatment with various immunosuppressive and antithrombotic drugs has been described ane...

The system resulting from the coupled Finite Element Method and Boundary Element Method formulations inherits all characteristics of both finite element and boundary element equation system, i. e., the system is partiall...

Abstract Introduction The authors formed a small working group to modernize the Methodological Expectations for Campbell Collaboration Intervention Reviews (MECCIR). We reviewed comments and feedback from editors, peer r...

Abstract Variational mode decomposition (VMD) is a suitable tool for processing cavitation-induced vibration signals and is greatly affected by two parameters: the decomposed number K and penalty factor α under strong n...

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...

A data enhanced iterative few-sample (DEIFS) algorithm is proposed to achieve the accurate and efficient inverse design of multi-shaped 2D chiral metamaterials. Specifically, three categories of 2D diffractive chiral str...

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...

Conjugate gradient algorithms come in a wide range of flavors. The conjugate gradient technique primarily concentrates on the spectral parameter. It follows the standard method proposed by Hastens and Stiefel, In this st...

Abstract Background Antimicrobial resistance is a significant public health concern with the establishment of antimicrobial stewardship in hospitals being increasingly obligatory. Perspectives and insights of health mana...

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...

Abstract This paper find a method depending on combining both classic and artificial methods to classify (recognition) an image.k-means method is used to find the main characteristics of the images. Then these images ar...

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...