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Introduction and purpose. Plantar fascia is a structure ensuring proper stabilization of the foot. Its malfunction impacts the organism as a whole. Untreated pathology leads to further health consequences. Plantar fascii...

Abstract Accurately estimating peak width and wave duration (WD) is a significant challenge across various scientific disciplines. Traditional methods, such as Full Width at Half Maximum (FWHM), often encounter difficult...

Abstract Guidance and psychological counselling services, which are seen as an integral part of the education system, refer to the whole of systematic services offered in line with a certain plan and programme. Guidance ...

Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

Modeling data that falls within the [0,1] domain is a huge task in most scientific disciplines. This is because most classical distributions do not address the issues of complex data shapes as well as managing the dynami...

Abstract The use of animal-borne devices to measure acceleration has yielded insights into animal locomotion, behaviour and energy expenditure. We present the first systematic review of accelerometry on animals, spanning...

ObjectiveThis study aimed to analyze the epidemiological characteristics of Salmonella spp. in the whole chicken production chain in China from 2003 to 2023， in order to understand their prevalence， serotypes and ant...

The purpose of conducting research is to make contributions to the body of knowledge. In managing research studies, researchers are often forced to make decisions on a series of tradeoffs due to scarce resources. They ma...

The clustering of small molecules implies the organization of a group of chemical structures into smaller subgroups with similar features. Clustering has important applications to sample chemical datasets or libraries in...

Background: This study discusses how Macron uses language strategically in his “Choose Europe for Science” speech to promote academic freedom and encourage international scientific collaboration. Beyond its political...

Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

Abstract The Internet of Things (IoT) and emerging technologies have converged to drive the remarkable development of intelligent systems. The interconnection of physical objects, sensors, and tiny communication devices ...

Abstract The Tibetan Plateau (TP) is a sensitive area for climate change, with its temperature affected by global warming. However, the variation in the diurnal temperature range (DTR) remains unclear. Therefore, using o...

Abstract We present the complete genome sequence of Sphingomonas sp. gentR, a strain exhibiting high-level resistance to gentamicin (MIC = 40 mg/mL). The genome was assembled from hybrid Illumina and Nanopore seque...

Abstract This study provides a comprehensive dataset (FAIRUrbTemp) that addresses the lack of high-resolution urban air temperature data across Europe. It compiles sub-hourly street-level air temperature data from 811 lo...

Abstract The explosion of patient data, the demand for real-time insights, and the critical importance of data security drive healthcare innovation. Medical Internet of Things (IoMT) offers a promising solution, connecti...

Abstract Coronavirus disease 2019 (COVID-19) is a pandemic disease that causes serious pulmonary complications. Vaccination is the most effective measure to prevent severe illness and reduce mortality. The Johnson & John...

Abstract Cross-lingual information retrieval limits global exchange of data because of the high diversity in the methods to classify, document and encode medical procedures. Traditional keyword-based or single-language s...

Abstract While housing price prediction is well-studied, the prediction of large-scale housing conditions remains underexplored due to data limitations. This paper addresses this gap by developing a machine-learning mode...

Abstract Proposed research presents a data-driven framework for forecasting municipal solid waste (MSW) generation and emission dynamics in Erode City, India, by employing supervised machine learning algorithms. Leveragi...

Abstract The photovoltaic (PV) power generation process is susceptible to the interference of meteorological factors with volatility, which seriously impacts the stability of PV grid connection. To solve the above proble...

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication too...

The Cambridge Structural Database (CSD) contains a complete record of all published organic and metal-organic small-molecule crystal structures. The database has been in operation for over 50 years and continues to be th...

Much of the complexity within cells arises from functional and regulatory interactions among proteins. The core of these interactions is increasingly known, but novel interactions continue to be discovered, and the infor...