Miracle-dz/UniFAR-FTUs huggingface dataset:
Physicochemical, Rheological, and Sensory Characteristics of Yogurt Fermented by Lactic Acid Bacteria with Probiotic Potential and Bioprotective Properties

The applicability of two lactic acid bacterial strains with probiotic potential and bioprotective properties as additions in the starter culture in yogurt fermentation was examined. The studied strains, Lactobacillus delbrueckii subsp. bulgaricus KZM 2-11-3 and Lactiplantibacillus plantarum KC 5-12, inhibited the growth of Kluyveromyces lactis, Kluyveromyces marxianus, and Saccharomyces cerevisiae. The strain L. delbrueckii subsp. bulgaricus KZM 2-11-3 directly inhibited Escherichia coli. The important characteristics for the quality of the yogurt product, such as physicochemical parameters during fermentation and storage, rheological characteristics, and sensory changes during the storage of samples were determined. The yogurt samples with the strains did not differ in most parameters from the control yogurt with the commercial starter. The added strains showed stable viability in the yogurt samples during storage. The yogurt sample with L. delbrueckii subsp. bulgaricus KZM 2-11-3 and the sample with both strains based on the total evaluation were very similar to the control yogurt with the commercial starter. Using these strains as probiotic supplements to enrich the starter cultures in yogurt production will contribute to developing new products with benefits to human health.
Разработка программного обеспечения для прогнозирования физической работоспособности человека на основе метода регрессионного анализа

The paper presents results of research for the mathematical model of the physical working capacity of a "healthy person” in the regression analysis, where the factors are the physical parameters of the person, and as a response an indicator of physical working capacity. The regression equations constructed for each age group. After performing multiple regression analysis obtained multiple regression models that can predict the physical working capacity for human aged eight to seventeen years. Article shows the results of the analysis and development of the regression models for the boy of seventeen year old. Also presents the hypotheses testing, ie checking the significance of the model, the significance of the coefficients, heteroscedasticity, autocorrelation, multicollinearity and normality of residuals. In conclusion, developed the regression models and software for the prediction of physical working capacity, method selected multiple regression analysis in statistics, which allows the analysis of multivariate statistical models. Defined the relevant parameters for the regression equations to assess the physical health of girls between the ages of fourteen to seventeen years quickly and efficiently.
Battery State of Health Estimate Strategies: From Data Analysis to End-Cloud Collaborative Framework

Lithium-ion batteries have become the primary electrical energy storage device in commercial and industrial applications due to their high energy/power density, high reliability, and long service life. It is essential to estimate the state of health (SOH) of batteries to ensure safety, optimize better energy efficiency and enhance the battery life-cycle management. This paper presents a comprehensive review of SOH estimation methods, including experimental approaches, model-based methods, and machine learning algorithms. A critical and in-depth analysis of the advantages and limitations of each method is presented. The various techniques are systematically classified and compared for the purpose of facilitating understanding and further research. Furthermore, the paper emphasizes the prospect of using a knowledge graph-based framework for battery data management, multi-model fusion, and cooperative edge-cloud platform for intelligent battery management systems (BMS).
Limits to Jitter in Digital CMOS Gates

The time delay of digital signals propagating through CMOS gates is unavoidably subject to some timing jitter, which imposes a lower limit on circuit jitter performance. Some of the jitter is fundamental to the nature of CMOS gates, and cannot be eliminated, and some is due to power supply noise, which can be controlled to some extent. A technique for distinguishing between these two components, and obtaining their numerical values, is described, and the technique is demonstrated with simple inverters.
A Cardiac SPECT System with Multiple Collimated Detectors Rotating in an Elliptical Orbit

A Cardiac SPECT System with Multiple Collimated Detectors Rotating in an Elliptical Orbit The cardiac SPECT is a good study because of the large clinical demand and the need for improved image quality. SPECT imaging usually suffers from poor spatial resolution and high statistical noise due to patient radiation safety concerns. Based on an emission imaging device shaped as an arc in the form of a part of an ellipse with multiple collimated detector columns, a new cardiac SPECT system in an elliptical orbit (EO-SPECT) is proposed to improve the geometric efficiency and the spatial resolution.
A review on ZIF carbon materials for sodium-ion battery

An alternative battery system to the lithium-ion battery has become paramount due to its high cost and limited distribution across the earth's surface. One of the significant challenges encountered by Na+ batteries is the development of efficient anode material. ZIFs have been considered as one of the potential electrode materials for Na+ batteries. ZIF is a sub-family of the metal–organic framework. Aside from the fact that they are utilised for sodium-ion batteries, their exceptional thermal stabilitiy, porous structure, and robust functionalities make them suitable for various applications. In this review, the working principles of Na+ battery, the synthesis procedure of ZIF carbon materials, electrochemical performances of each material or composite, performance enhancement strategy and morphology were explored and summarised.
Computational Fluid Dynamics in Turbulent Flow Applications

This chapter is intended to present to readers a general scope of the technical, theoretical, and numerical applications of computational fluid dynamics using the finite volume method, restricted to incompressible turbulent flows (Ma < 0.3). The main objective of this chapter was to provide readers of a starting point to select an adequate numerical model for the flow regime of interest. Such knowledge could be a key at the moment of extending the analysis to more complex problems, for example, the ones found in heat transfer and fluid flows, multiphase flows, and compressible flows.
Grid-based Finite Elements System for Solving Laplace-Beltrami Equations on 2-Manifolds

Solving the Poisson equation has numerous important applications. On a Riemannian 2-manifold, the task is most often formulated in terms of finite elements and two challenges commonly arise: discretizing the space of functions and solving the resulting system of equations. In this thesis, we describe a finite elements system that simultaneously addresses both aspects. The idea is to define a space of functions in 3D and then restrict the 3D functions to the mesh. Unlike traditional approaches, the discretized function space is defined without having to depend on the tessellation of the surface. Also importantly, the regularity and nesting structure of the function space supports an efficient, parallel multigrid solver. A straightforward implementation of our approach works effectively when the surface embedding remains static. However, it is not well-suited to evolving domains, as the system needs to be set up repeatedly when embeddings change. We show that by tracking the metric structure, a large portion of the computational effort can be amortized and reused, avoiding a costly initialization of multigrid hierarchies ii
Signaling pathways governing the maintenance of breast cancer stem cells and their therapeutic implications

Breast cancer stem cells (BCSCs) represent a distinct subpopulation of cells with the ability to self-renewal and differentiate into phenotypically diverse tumor cells. The involvement of CSC in treatment resistance and cancer recurrence has been well established. Numerous studies have provided compelling evidence that the self-renewal ability of cancer stem cells is tightly regulated by specific signaling pathways, which exert critical roles to maintain an undifferentiated phenotype and prevent the differentiation of CSCs. Signaling pathways such as Wnt/β-catenin, NF-κB, Notch, Hedgehog, TGF-β, and Hippo have been implicated in the promotion of self-renewal of many normal and cancer stem cells. Given the pivotal role of BCSCs in driving breast cancer aggressiveness, targeting self-renewal signaling pathways holds promise as a viable therapeutic strategy for combating this disease. In this review, we will discuss the main signaling pathways involved in the maintenance of the self-renewal ability of BCSC, while also highlighting current strategies employed to disrupt the signaling molecules associated with stemness.
Ramification of Covid-19 Perceived Risk on Vacation Intention in Malaysia

COVID-19’s worldwide ramifications are unknown, as the world is currently engulfed within one of the mo st serious last century’s health and humanitarian disasters. Health and safety problems, political changes, economic instability, natural disasters and disease outbreaks threaten tourism. The danger associated with taking a vacation is increased by the global pandemic, not just due to the unknown state of the vacationer in the destination but also because of the possible negative repercussions. Thus, this research fills the gap by analysing the influence of the Theory of Planned Behaviour (TPB) predictors (namely attitude, perceived behavioural control and subjective norm) and perceived risk towards vacation intention and willingness to pay amid local vacationers in Malaysia during the pandemic of COVID-19. The acquired data from 181 completed responses were analysed using SmartPLS software. According to the findings of this study, TPB predictors (attitude, perceived behavioural control, and subjective norm) have a positive influence on vacation intention, perceived risk has a positive influence on TPB predictors (attitude and perceived behavioural control), and vacation intention has a positive influence on willingness to pay. The practical contribution of the research could contribute to the considered actions to foster the necessary decision-making to restore the domestic tourism market.
IMPACT OF DENTAL CARIES ON ORAL HEALTH RELATED QUALITY OF LIFE AMONG INDIAN ADOLESCENTS – AN EXPLORATORY STUDY.

in adolescents, especially in the Indian context. The aim of the present study was to assess the impact of dental caries on OHRQoL among 12 to 15 years old school going children in Mangalore. A cross-sectional study was conducted among 12 to 15 years old school going children in Mangalore. OHRQoL was assessed by using Child Perception Questionnaire (CPQ). Participants were examined for dental caries by using WHO criteria for dental caries. Information regarding malocclusion and demographics were also collected. Dental caries was significantly associated with the overall OHRQoL scores (r=0.86 and p=0.03). Malocclusion also showed statistically significant association with OHRQoL subscale of oral symptoms score. However, there were no significantly significant associations between dental caries and other subscales of OHRQoL (p>0.05). Results indicate that dental caries might significantly affect the OHRQoL of children.
A bound of the size of codes

We present one upper bound on the size of non-linear codes and its restriction to systematic codes and linear codes. This bound is independent of other known theoretical bounds, e.g. the Griesmer bound, the Johnson bound or the Plotkin bound, and it is an improvement of a bound by Litsyn and Laihonen.
Strength Assessment of PET Composite Prosthetic Sockets

A prosthesis is loaded by forces and torques exerted by its wearer, the amputee, and should withstand instances of peak loads without failure. Traditionally, strong prosthetic sockets were made using a composite with a variety of reinforcing fibres, such as glass, carbon, and Kevlar. Amputees in less-resourced nations can lack access to composite prosthetic sockets due to their unavailability or prohibitive cost. Therefore, this study investigates the feasibility of polyethylene terephthalate (PET) fibre-reinforced composites as a low-cost sustainable composite for producing functional lower-limb prosthetic sockets. Two types of these composites were manufactured using woven and knitted fabric with a vacuum-assisted resin transfer moulding (VARTM) process. For direct comparison purposes, traditional prosthetic-socket materials were also manufactured from laminated composite (glass-fibre-reinforced (GFRP)), monolithic thermoplastic (polypropylene (PP) and high-density polyethylene (HDPE)) were also manufactured. Dog-bone-shaped specimens were cut from flat laminates and monolithic thermoplastic to evaluate their mechanical properties following ASTM standards. The mechanical properties of PET-woven and PET-knitted composites were found to have demonstrated to be considerably superior to those of traditional socket materials, such as PP and HDPE. All the materials were also tested in the socket form using a bespoke test rig reproducing forefoot loading according to the ISO standard 10328. The static structural test of sockets revealed that all met the target load-bearing capacity of 125 kg. Like GFRP, the PETW and PETK sockets demonstrated higher deformation and stiffness resistance than their monolithic counterparts made from PP and HDPE. As a result, it was concluded that the PET-based composite could replace monolithic socket materials in producing durable and affordable prostheses.
A Randomized Controlled Study to Test Front-of-Pack (FOP) Nutrition Labels in the Kingdom of Saudi Arabia

One common strategy for governments to tackle the non-communicable disease (NCD) epidemic is front-of-package (FOP) nutrition labeling. The Kingdom of Saudi Arabia (KSA) is considering implementing a new FOP label that is based on either France’s Nutri-Score (NS), which labels all foods (A = healthiest to E = least healthy) based on overall nutritional quality, or the Chilean warning label (WL) approach, which identifies foods to avoid based on select nutritional characteristics. Using a fully functional online grocery store, this study aimed to test these two promising FOP strategies by randomizing 656 KSA adults into one of the three versions of the store to complete a hypothetical grocery shop: no-label (control), NS, and WL. The NS was modified with a sugar percentage tag given that reducing sugar consumption is one of KSA’s public health goals. We found that both modified NS labels and Chilean warning labels positively influenced food and beverage choices among KSA participants, but there were differential effects across the two labels. Relative to the control, NS improved the overall diet quality of the shopping baskets, measured by the weighted (by the number of servings) average NS point (ranging from 0, least healthy, to 55, healthiest), by 2.5 points [95% CI: 1.7, 3.4; p < 0.001], whereas results for WL were not statistically significant (0.6 points [95% CI: −0.2,1.5]). With respect to each nutritional attribute, we found that NS reduced sugar intake per serving, whereas WL was effective at decreasing energy and saturated fat intake per serving from food and beverages purchased. Our results suggest that the NS approach that identifies the healthiness of all foods using a holistic approach appears preferable if the purpose of the label is to improve overall diet quality as opposed to addressing select nutrients to avoid.
A sructure‐preserving numerical method for the dynamic optimization of flexible mechanical systems

If an optimal control problem has symmetries, associated generalized momentum maps are preserved quantities along an optimal path, as can be seen by the extension of Noether's theorem to optimal control problems. These symmetries on the control level are inherited from the underlying mechanical system. The presented discretization method does respect the symmetries on both levels, the mechanical system and the optimal control problem, and preserves the generalized momentum mapping.
Diversity and bioactivity of sediment-associated fungi from a mangrove forest in Mexico with different conservation conditions

The biological importance of rhizosphere sediment-associated fungi in mangroves is poorly understood, especially when they are affected by high salinity and anaerobiosis in disturbed areas. This study evaluated the fungal diversity in the rhizosphere sediments of three mangrove species associated with three conservation conditions of mangrove forests in preserved, semi-preserved, and deteriorated areas. In addition, fungal bioactivity was correlated to the fungal diversity found in mangrove species from each area. We isolated 50 fungal strains belonging to three phyla, seven classes, and 10 orders. The fungal diversity was higher in the preserved area (H' = 2.22) than in the semi-preserved (H' = 1.73) and deteriorated areas (H' = 1.68); the redundancy analysis showed a tendency of fungal accumulation towards the rhizosphere of Rhizophora mangle and Avicennia germinans in the preserved and semi-preserved areas. In addition, the redundancy analysis showed that 10 bioactive fungi genera tended to accumulate on the rhizosphere of R. mangle and A. germinans in the preserved and semi-preserved areas. The preserved area is related to the semi-preserved area, with a 28% Jaccard similarity coefficient. The diversity and bioactivity of the isolated fungi encourage the need to conserve and restore mangrove ecosystems considering their current and potential services, such as bioprospecting new pharmacological compounds.
Bi-level decision making with fuzzy sets and particle swarm optimisation

Bi-level programming techniques are developed for decentralized decision problems with decision makers located in a two-level decision making system; the upper decision maker is termed the leader while the lower is the follower. Both the leader and the follower try to optimise their own objective functions and the corresponding decisions do not control but do affect those of the other level. This research aims at solving bi-level decision problems with five extensions, i.e. multiple leaders/followers/objectives, fuzzy coefficients and goals. By using particle swarm optimisation and/or cut set and/or goal programming and/or Nash equilibrium concept, related mathematical models and corresponding algorithms are developed to solve fuzzy linear bi-level decision problems, fuzzy linear multi-objective bi-level decision problems, fuzzy linear multi-follower multi-objective bi-level decision problems, fuzzy linear goal bi-level decision problems, multi-leader one-follower bi-level decision problems, one-leader multi-follower bi-level decision problems, and multileader multi-follower bi-level decision problems. A fuzzy bi-level decision support system is then developed which implements all the algorithms to support bi-level decision making with different features. Finally, by using these bi-level models and algorithms, we explore possible applications in the fields of railway train set organisation, railway wagon flow management, strategic bidding in the electricity market, and supply chains to solve real world bi-level decision problems. The results of experiments show that the models and algorithms are effective for solving real world bi-level decision problems.
Rigorous justification of the asymptotic model describing a curved‐pipe flow in a time‐dependent domain

This paper is devoted to the mathematical justification of an asymptotic model of a viscous flow in a curved tube with moving walls by proving error estimates. To this aim, we first construct the space correctors near the pipe's inlet and outlet due to the boundary layer phenomenon. In order to guarantee the adequate properties for these correctors we study what we called modified Leray's problem defined in a semi‐infinite strip. We ensure the existence and uniqueness of an exponential decaying solution when the axial variable tends to infinity. Then, by deriving a Poincaré's type inequality and other estimates for the boundary value problems taking into account the condition on the pipe's lateral boundary, we evaluate the difference between the asymptotic approximation and the exact solution of the problem.
Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review

Many industries, including healthcare, banking, the auto industry, education, and retail, have already undergone significant changes because of artificial intelligence (AI). Business-to-Customer (B2C) e-commerce has considerably increased the use of AI in recent years. The purpose of this research is to examine the significance and impact of AI in the realm of fashion e-commerce. To that end, a systematic review of the literature is carried out, in which data from the Web Of Science and Scopus databases were used to analyze 219 publications on the subject. The articles were first categorized using AI techniques. In the realm of fashion e-commerce, they were divided into two categories. These categorizations allowed for the identification of research gaps in the use of AI. These gaps offer potential and possibilities for further research.
Influence of zinc sulphate in microstructure and strength properties of blended cementitious concrete system

In recent decades, greenhouse gas emission and global warming are the major threat to climatic change variability. The quality of concrete can be enhanced by the addition of a supplementary cementitious material to portland cement. In this study, fly ash is utilized as a supplemental cementitious material (SCM). The purpose of this research is to test and study the mechanical and thermal properties of blended concrete containing ordinary portland cement, fly ash and zinc sulphate as well as to investigate the microstructure in order to study the influence of zinc sulphate on the hydration process of concrete. This research mainly focused on the changes occurring in the strength, retarding mechanism, setting time, mineralogy, and microstructure caused by the addition of zinc sulphate in concrete. Ordinary portland cement, fly ash, pulverized fly ash and zinc sulphate are used in the blended concrete. The varied proportions of fly ash and zinc sulphate in the mix are 15%, 30%, 45%, and 60% respectively. The strength characteristics can be increased by fly ash pulverization. Hence the research focuses in exploring the addition of fly ash, pulverized fly ash and zinc sulphate anhydride to the concrete mix.
As Experiências de Estudantes em um Curso de Engenharia de Computação Baseado em PBL

Aprendizagem Baseada em Problemas (PBL) é uma metodologia ativa utilizada em todo o mundo, inclusive na área da computação. Porém, apesar de décadas de prática da metodologia em diversos países, inclusive com vários relatos publicados, ainda são poucos os trabalhos que abordam detalhadamente a perspectiva dos estudantes que aprendem com PBL. O objetivo deste estudo foi descrever como os estudantes de um curso de Engenharia de Computação vivenciam a metodologia PBL. Através de uma análise fenomenológica interpretativa, identificamos seis essências na perspectiva deles, as quais fornecem insights valiosos e possibilitam a reflexão sobre os benefícios e desafios de PBL no ensino superior, especialmente na área de computação.