Miracle-dz/UniFAR-FTUs huggingface dataset:
Data analysis using system modeling

Expert systems are increasingly being used to format safe operations. But the functions of expert systems can perform not only assistance in making decisions, but also analyze processes and help at various stages. These actions are possible when considering a system with fuzzy data. The work is devoted to solving the problem of fuzzy inference knowledge in intelligent systems based on the use of fuzzy logic. The scheme of construction of continuous logic, the computation of values of membership functions of linguistic variables of output knowledge. The proposed approach is based on the use of continuous logic, which allows for a more accurate representation of fuzzy data compared to traditional logic. The construction of the continuous logic scheme involves the use of fuzzy sets for both input and output variables, which are then used to compute the values of membership functions of linguistic variables of output knowledge. In this approach, the expert system is able to analyze processes and assist at various stages by making use of fuzzy inference knowledge. The fuzzy inference mechanism is based on the use of fuzzy logic, which allows for a more nuanced understanding of complex systems and processes. The expert system is able to analyze data from various sources and make informed recommendations based on the available information. Overall, the use of expert systems based on fuzzy logic is becoming increasingly popular in a variety of industries. By improving the accuracy of data analysis and decision-making, these systems can help to ensure safe and efficient operations.
Systematic Protocol for SASW Inversion

Spectral-analysis-of-surface-waves (SASW) is a nondestructive test method for characterization of the variation with depth of the shear modulus of soils. One drawback in SASW is the need for an experienced user to conduct the inversion. Difficulty in SASW inversion arises from lack of constraint of the least squares minimization used on shear wave velocity parameters. For even simple profiles. the inversion algorithm can exhibit instability due to numerical sensitivity of the forward model calculations. The user must provide a reasonable starting profile; and then the parameters must be carefully followed and constrained to reach convergence. The inversion process was explored using a range of dispersion curves ranging from simple to complex layering systems. Three key principles were built into a new protocol to provide necessary constraints on the inversion algorithm. Dispersion data from many test sites have been inverted using the new protocol. Careful adherence to the protocol consistently produces shear wave velocity profiles indicative of site conditions. The protocol provides logic necessary for automation of the inversion process.
Quest for Biomarkers of Positive Health: A Review

The positive health of a person can be defined as the ability to live long in good health, possibly with no activity limitation. No method is yet available for its objective assessment in individuals, and we propose a framework in this communication that can operationalize this concept. Instead of distal factors, such as diet and lifestyle because these are subjective and difficult to measure, we concentrate on the objectively measurable biomarkers such as immunity level, endorphins, and handgrip strength. The focus is on the major parameters that may protect from diseases and infirmity and can be assessed by noninvasive methods. A combination of such parameters may signify positive health. This may be a novel way to measure positive health at the individual level. In this communication, we briefly review the literature and identify a few major biomarkers that provide a protective shield and could determine the status of positive health at the individual level. This exercise demonstrates that the assessment of the positive health of a person is feasible. A scale based on these and other relevant parameters can be developed later that could quantitatively measure the exact level of positive health. As the exact combination of the parameters that protects from ailments is not fully known yet, a framework such as this may help in identifying the data gaps that require attention in this context. The proposed framework may initiate a discussion on indicators of positive health and characterize the parameters for intervention that could increase a healthy life.
Utilization of Consumer Health Informatics in Health Promotion among Staff of Tertiary Institutions in Rivers State

This study investigated the utilization of consumer health informatics in health promotion among the staff of tertiary institutions in Rivers state. A cross-sectional descriptive research design was used. Two research questions guided this paper. The population of this paper comprised all the 13,046 staff of tertiary institutions in Rivers state. A sample of 1226 staff was drawn using multi-stage sampling techniques. An instrument titled, “Utilization of Consumer Health Informatics in Health Promotion Questionnaire” (UCHIHPQ) was adopted for data collection. The instrument was validated and reliability yielded an index of 0.80. Mean and Standard Deviation statistics were used to answer the research questions. The statistical analysis was performed with the use of SPSS v23. The result revealed among others that to a very large extent, the respondents accepted that consumer health informatics was used to improve their nutritional and physical health status. It was therefore concluded and recommended among others that staff of tertiary institutions in Rivers state should regularly use intelligent informatics applications to attain a healthy balance between self-reliance and seeking professional help concerning nutritional and physical health matters.
Filtrage à association probabiliste de données pour l'analyse robuste de l'activité cardiaque

Cardiac activity analysis is traditionally based upon the hypothesis that all the elementary events of the ECG signal are detected without false alarms. Here, a new approach is described. The detection step is included in the estimation one through a probabilistic data association lter. Under some statistic hypotheses, the likelihood is shown to follow a nite mixture distribution. An EM algorithm, combined with Kalman ltering, provide a MAP estimation of the observed sequence. Usefulness of the proposed approach is shown on the PP interval.
Prediction of fretting fatigue life of dovetail joint under high-cycle and low-cycle load

For the fretting fatigue life prediction of component under high cycle load and low cycle load,the equivalence stress ratio of high cycle load and low cycle load was substituted for the equivalence stress.An improved experiential model was obtained.The parameters of the improved model were evaluated by the fretting fatigue test on dovetail joint.With the experimental results of other preferences,the improved experiential model is valid and rational.The maximum error of the prediction fretting fatigue decreases nearly 50%.
Bioactive Natural Products for Breast Cancer Chemoprevention and Treatment

In addition to being one of the deadliest tumors, breast cancer is also one of the most difficult to cure. Due to the serious side effects of current breast cancer treatments and the rise in drug resistance, current drugs are losing their effectiveness. Bioactive natural compounds target various pathophysiological pathways involved in the development and progression of cancer and hence have the ability to prevent both the growth of breast cancer and the advancement of metastatic disease concurrently. Natural anticancer compounds have been shown to be effective, complementary treatment may be of great assistance in this case. Nutraceuticals and popular folk remedies may provide benefits over manufactured pharmaceuticals since they have fewer side effects and less toxicity in both in vitro and in vivo studies. A variety of natural compounds have been shown to reduce the aggressiveness of breast cancer, inhibit the growth of malignant cells, and alter the pathways involved in cancer development and progression. Either by directly affecting certain biological targets, such genes, or by indirectly stabilising conjugates that have an impact on metabolic processes, natural compounds called phytochemicals can enhance human health. Nutraceuticals and popular folk remedies may provide benefits over manufactured pharmaceuticals since they have fewer side effects and less toxicity in both in vitro and in vivo studies. A variety of natural compounds have been shown to reduce the aggressiveness of breast cancer, inhibit the growth of malignant cells, and alter the pathways involved in cancer development and progression. Either by directly affecting certain biological targets, such genes, or by indirectly stabilising conjugates that have an impact on metabolic processes, natural compounds called phytochemicals can enhance human health. There are many promising bioactive natural products that can be used to treat breast cancer, including those that inhibit aromatase activity, target HIF-1 signaling, inhibit cytoplasmic signaling, modulate epigenetic regulation, modulate estrogen signaling pathways, or work in chemosensitivity/adjuvant therapy (such as resveratrol, epigallocatechin-3-gallate, and eugenol).
The Alternating Access Mechanism in Mammalian Multidrug Resistance Transporters and Their Bacterial Homologs

Multidrug resistance (MDR) proteins belonging to the ATP-Binding Cassette (ABC) transporter group play a crucial role in the export of cytotoxic drugs across cell membranes. These proteins are particularly fascinating due to their ability to confer drug resistance, which subsequently leads to the failure of therapeutic interventions and hinders successful treatments. One key mechanism by which multidrug resistance (MDR) proteins carry out their transport function is through alternating access. This mechanism involves intricate conformational changes that enable the binding and transport of substrates across cellular membranes. In this extensive review, we provide an overview of ABC transporters, including their classifications and structural similarities. We focus specifically on well-known mammalian multidrug resistance proteins such as MRP1 and Pgp (MDR1), as well as bacterial counterparts such as Sav1866 and lipid flippase MsbA. By exploring the structural and functional features of these MDR proteins, we shed light on the roles of their nucleotide-binding domains (NBDs) and transmembrane domains (TMDs) in the transport process. Notably, while the structures of NBDs in prokaryotic ABC proteins, such as Sav1866, MsbA, and mammalian Pgp, are identical, MRP1 exhibits distinct characteristics in its NBDs. Our review also emphasizes the importance of two ATP molecules for the formation of an interface between the two binding sites of NBD domains across all these transporters. ATP hydrolysis occurs following substrate transport and is vital for recycling the transporters in subsequent cycles of substrate transportation. Specifically, among the studied transporters, only NBD2 in MRP1 possesses the ability to hydrolyze ATP, while both NBDs of Pgp, Sav1866, and MsbA are capable of carrying out this reaction. Furthermore, we highlight recent advancements in the study of MDR proteins and the alternating access mechanism. We discuss the experimental and computational approaches utilized to investigate the structure and dynamics of MDR proteins, providing valuable insights into their conformational changes and substrate transport. This review not only contributes to an enhanced understanding of multidrug resistance proteins but also holds immense potential for guiding future research and facilitating the development of effective strategies to overcome multidrug resistance, thus improving therapeutic interventions.
Forest machine automation and ergonomics

Harvesters and forwarders are the main part of cut-to-length logging system equipment. The perfection of the hydraulic cranes has a very large impact on the overall operating efficiency of these forest machines. The impact of the crane partial automation on the operator’s work cycle and workload is described in this article. Two machines were studied in field conditions. Differences in the frequency and duration of telescopic extension boom control activations were identified. It was determined that, as a result of automation, one of the degrees of freedom of the crane controls is almost completely excluded from use in the case of the forwarder. A significant reduction in the duration of its use is observed in the case of the harvester. As a result, this saves the psycho-physiological resources of the operator for more efficient use of the remaining degrees of freedom, which, coupled with a simpler and more intuitive logic of the controls operation, improves the productivity, accuracy and safety of cut-to-length logging. In addition, a simpler work algorithm reduces the level of stereotyping of the operator’s actions, fatigue and loss of attention, which usually emerge at the end of the shift. This work was supported by the Russian Federation Ministry of Science and Higher Education (state research target, theme no. 075-03-2023-128).
Genetic diversity of tomato (Solanum lycopersicum) accessions using chloroplast DNA and random amplified polymorphic DNA markers

Information regarding genetic diversity and genetic relationships among different genotypes is invaluable in crop improvement of which its success is largely dependent on genetic variability. As molecular markers continue to be an effective tool for localization of a gene to improvement of plant varieties, the need to establish phylogenetic relationships becomes extremely important for the process of breeding new cultivars. This study reports genetic diversity for Tomato accessions across Nigeria (Six geo-Political Zones) as revealed by chloroplast DNA (cpDNA) and Random Amplified Polymorphic DNA (RAPD) markers. cpDNA data showed a Nucleotide diversity for all accessions of Tomato at 0.302 while the number of segregated sites as well as parsimony informative sites to be 4.0. Data from five Random Amplified Polymorphic DNA (RAPD) primers showed a low Gene diversity (h) which ranged from 0.10 to 0.28, Percentage polymorphism (Pp) ranged from 20 % to 84%. The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) dendrogram grouped the accessions into two groups at similarity coefficient of 72%, with a value of r = 0.98, showing an excellent correlation between the accessions and the values of the initial distances (similarity matrix). Similar results were seen with the dendrogram constructed for genetic relationships of Tomato accessions using RAPD or cpDNA (you have mentioned RAPD up) markers. Split tree analysis equally revealed a 2 structured gene pool for Tomato gene pool in Nigeria. The high homogeneity of species observed in the study signifies a low genetic diversity and limited variability in tomato species in Nigeria. Amongst the consequences of low genetic diversity is the absence of unique variants that can possibly combat disease conditions or adapt to unfavourable environmental changes. The use of both cpDNA and RAPD markers in this study has efficiently shown that continuous cycling/shuffling of species within the narrow gene pool is expected to lead to a continuous reduction in genetic variability. No addition of new variant into the gene pool and in turn leads to inbreeding depression, thus suggesting the need to breed with known wild cultivars to increase genetic variability. Key words: CpDNA, Gene pool, Genetic Diversity, Inbreeding depression, RAPD marker, Tomatoes breeding
Application of Decision Tree Algorithm in Educational Data Mining

: Decision tree algorithms in Educational Data Mining (EDM) emerges as a powerful method for student classification according to their learning station. This article emphasizes the necessity to classify students due to the changing scenario of China's higher education system, which has shifted from elitist to popularization, and lead to university students' differences in learning abilities. For the specialty characteristics of educational data, this study adopts decision tree algorithm based on ID3 to classify students. This article presents an analysis of the application of decision tree algorithm in the course "Hydraulic and Pneumatic Technology Course Design," which is a mandatory course for Mechanical Design Manufacture and Automation Major. This study identifies five splitting features that affect the students' ability to achieve success in this practical course, and build the decision tree model. The learning samples for this algorithm mode are collected from Bachelor students of the University of Shanghai for Science and Technology (USST).
Effect of cadmium on agrochemical and ecological status of irrigated soils

The sources of environmental pollution with heavy metals are mainly wastes of the metal production industry, combustion products of various fuels, car fumes and exhaust gases, chemicals used in agriculture, etc. The use of coal, oil, gas and a number of other fuels is increasing day by day, which pollutes the environment several times more than the metal production industry. Also, heavy metals enter the soil with biocides and mineral fertilizers, and soil contamination with heavy metals accumulates in the human body along the food chain and causes various diseases. In Uzbekistan, serious attention is being paid to the issues of ensuring ecological stability, creating the necessary conditions for the population to have a comfortable natural environment, rational and effective use of natural resources, preventing emerging environmental problems and eliminating their negative consequences. This article presents the accumulation of cadmium element in the takyr-meadow and meadow soils of Kashkadarya region, Kasbi district, exceeding the permissible standards.
Determination Of Optimum Drying Condition On Flavonoid Content Of Ficus Carica L. Leaves Using Tray Dryer

This research aims to find out the characteristics of Ficus carica L. drying process using a tray dryer and determine the effect of temperature and drying time on Ficus Carica L. flavonoid content using a tray dryer to obtain Ficus carica L. herbal leaf tea which is high in antioxidants. At the experimental stage, the water content of fresh leaves of Ficus carica L. were determined, so the water content is 74 ± 1.11% (wet base), then dried using a tray dryer at 35; 40; 45; 50; and 55oC, with a variation of the drying air flow rate of 1.3; 1.6; 1.9; 2.2; and 2.4 m/s. The optimum temperature and drying air flow rate are 50oC and 1.9 m/s since the highest flavonoid content was obtained at those condition as much 0.78 ± 0.001 gram QE/100gram extract. Dried products which packaged in tea bags have a content of 23.60% carbohydrate, total fat 3.50%, protein 5.35%,antioxidant 154.25 ppm and calorific value of 1430 Kcal/100 grams. It can be concluded that Ficus carica L. drying process using a tray dryer can be used to produce herbal leaf tea which is high in antioxidants and flavonoid content.
Adjoint for double categories

Cet article poursuit notre etude de la theorie generale des categories doubles faibles, en traitant des adjonctions et des monades. Une adjonction double generale, telle qu'elle apparait dans des situations concretes, presente un foncteur double colax adjoint a gauche d'un foncteur double lax. Ce couple ne peut pas etre vu comme une adjonction dans une bicategorie, car les morphismes lax et colax n'en forment pas une. Mais ces adjonctions peuvent etre formalisees dans une categorie double interessante, formee des categories doubles faibles, avec les foncteurs doubles lax et colax comme fleches horizontales et verticales, et avec des cellules doubles convenables.
Some Properties of the Eigenfunctions of The Laplace-Operator on Riemannian Manifolds

Let V be a connected, compact, differentiable Riemannian manifold. If V is not closed we denote its boundary by S. In terms of local coordinates (x i ), i = 1, 2, … Ν, the line-element dr is given by where gik (x1, x2, … x N ) are the components of the metric tensor on V We denote by Δ the Beltrami-Laplace-Operator and we consider on V the differential equation (1) Δu + λu = 0.
Assessment and Improvement of Masticatory Performance in Frail Older People: A Narrative Review

According to the World Health Organization (WHO), the estimated number of older adults is around 962 million and is projected to increase to 2.1 billion by 2050. The oral frailty concept is associated with gradual oral function loss in relation to aging. There is a need to emphasize the improvement of oral function based on an evaluation of masticatory performance in patients with various oral conditions or systemic diseases and especially in the frail elderly. The present narrative review presents an overview of the current state of the assessment and improvement of masticatory performance in frail older people. To fully encompass oral frailty, oro-facial hypofunction, or oro-facial fitness, dental Patient Reported Outcomes (dPROs) should be included; nevertheless, there are limited evidence-based rehabilitation approaches. The concept of oral frailty, oro-facial hypofunction, or oro-facial fitness should involve dental Patient Reported Outcomes (dPROs), and in this sense, there are only a few evidence-based rehabilitation procedures to improve oro-facial hypofunction besides prosthodontics. It must be considered that reduced neuroplastic capacity in old individuals might preclude a positive outcome of these strategies that might need to be accompanied by functional training and nutritional counseling.
Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach

Alzheimer’s disease (AD) and AD-related dementias (AD/ADRD) are a group of progressive neurodegenerative diseases. The progression of AD can be conceptualized as a continuum in which patients progress from normal cognition to preclinical AD (i.e., no symptoms but biological changes in the brain) to mild cognitive impairment (MCI) due to AD (i.e., mild symptoms but not interfere with daily activities), followed by increasing severity of dementia due to AD. Early detection and prediction models for the transition of MCI to AD/ADRD are needed, and efforts have been made to build predictions of MCI conversion to AD/ADRD. However, most existing studies developing such prediction models did not consider the competing risks of death, which may result in biased risk estimates. In this study, we aim to develop a prediction model for AD/ADRD among patients with MCI considering the competing risks of death using a semi-competing risk approach.