Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross sectional Study about Risk factors of increase the chronic kidney disease (CKD) in Wadi Ataba City southern Libya.

A retrospective study conducted in 2023 on risk factors for chronic kidney disease (CKD), in patients from Southern Libya (Wadi Ataba). The present study was focused on the relationship between a few disorders that have been linked to chronic kidney disease (CKD) and other diseases. The goal of the current study is to investigate the risk factors for chronic renal disease in the city of Wadi Ataba in southern Libya. The 27-questions questionnaire was used to gather the data, which were included categories such as personal information, health conditions, family history of diabetes, hypertension, and renal failure, questions regarding the abuse of analgesics and herbs, questions about energy drinks and their origins, and questions about lifestyle habits such as drinking water and source of them. 379 participants were interviewed. Response rate was 98 %. Among the patients in our samples, which found that the highest risk factors for CKD were hypertension (HT) at 28.5%, followed by diabetes mellitus (DM) and hypertension combined at 16.1%, and diabetes at 36.1%. One important finding of the current study is the increased association between diadetes and CDK. They represent about one third (29.1%).
Multiple electrolyte disorders triggered by proton pump inhibitor-induced hypomagnesemia: Case reports with a mini-review of the literature

Drug-induced hypomagnesemia is an adverse effect with the potential for serious and fatal outcomes. Although rare, chronic use of proton pump inhibitors (PPIs) can cause hypomagnesemia due to impaired intestinal absorption, mainly attributed to reduced transcellular transport of magnesium via transient receptor potential melastatin 6 (TRPM6) and 7 (TRPM7) channels. However, a reduction of magnesium paracellular absorption due to the downregulation of intestinal claudins has also been reported. PPI-induced hypomagnesemia can trigger other concomitant electrolyte derangements, including hypokalemia, hypocalcemia, hypophosphatemia, and hyponatremia. Here we report two cases of multiple electrolyte disorders associated with PPI-induced hypomagnesemia, the clinical manifestations of which were cardiac arrhythmia, cognitive changes, and seizure crisis. These cases illustrate the need to monitor serum magnesium levels in patients on long-term PPI use, especially in the elderly and those with malabsorptive bowel syndromes or taking loop diuretics and thiazides.
Improvement of rebaudioside A diterpene glycoside content in SteviarebaudianaBertoni using clone selection

This study, conducted in Antalya, Turkey, between 2014 and 2016, aimed to determine genotypes with a high amount of rebaudioside A (reb A) and high reb A/stevioside (stv) ratio in Stevia rebaudiana Bertoni, and reveal superior candidate varieties via the clone selection method. The study started with 200 genotypes in the first year, followed by the stem cuttings of 40 genotypes selected in the second year, in accordance with the obtained data, which were grown in rows (A clones), and the 10 genotypes (B clones) selected from the clones in the third year, which were grown in 3 replications according to a completely randomized block design. In accordance with the criteria for the evaluation of the results, 4 plants with superior characteristics were selected (C clones). Genotype 82 was regarded as a candidate with superior characteristics in terms of the amount of reb A content (7.95%, 7.77%, and 6.37%, respectively) and reb A/stv ratio (1.48, 1.20, and 1.48) over the 3 years. Genotype 109 was noteworthy for stv alone. Genotype 133 was considered as not only high in reb A (8.47%, 6.81%, and 6.40%, respectively), but also as an industrial material suitable for processing and production, as the agronomic properties were above average during the study. Genotype 196 was determined to be high in terms of the amount of reb A + stv (18.31%, 12.54%, and 13.58, respectively) and reb A (7.57%, 6.46%, and 6.2%, respectively). Therefore, these were selected as clonal variety candidates.
Antioxidant flavonoid-loaded nano-bioactive glass bone paste: in vitro apatite formation and flow behavior

Non-cement pastes in the form of injectable materials have gained considerable attention in non-invasive regenerative medicine. Different osteoconductive bioceramics have been used as the solid phase of these bone pastes. Mesoporous bioactive glass can be used as an alternative bioceramic for paste preparation because of its osteogenic qualities. Plant-derived osteogenic agents can also be used in paste formulation to improve osteogenesis; however, their side effects on physical and physicochemical properties should be investigated. In this study, nano-bioactive glass powder was synthesized by a sol–gel method, loaded with different amounts of quercetin (0, 100, 150, and 200 μM), an antioxidant flavonoid with osteogenesis capacity. The loaded powder was then homogenized with a mixture of hyaluronic acid and sodium alginate solution to form a paste. We subsequently evaluated the rheological behavior, injectability, washout resistance, and in vitro bioactivity of the quercetin-loaded pastes. The washout resistance was found to be more than 96% after 14 days of immersion in simulated body fluid (SBF) as well as tris-buffered and citric acid-buffered solutions at 25 °C and 37 °C. All pastes exhibited viscoelastic behavior, in which the elastic modulus exceeded the viscous modulus. The pastes displayed shear-thinning behavior, in which viscosity was more influenced by angular frequency when the quercetin content increased. Results indicated that injectability was much improved using quercetin and the injection force was in the range 20–150 N. Following 14 days of SBF soaking, the formation of a nano-structured apatite phase on the surfaces of quercetin-loaded pastes was confirmed through scanning electron microscopy, X-ray diffractometry, and Fourier-transform infrared spectroscopy. Overall, quercetin, an antioxidant flavonoid osteogenic agent, can be loaded onto the nano-bioactive glass/hyaluronic acid/sodium alginate paste system to enhance injectability, rheological properties, and bioactivity.
Sex differences in mortality and hospitalization in heart failure with preserved and mid-range ejection fraction: a systematic review and meta-analysis of cohort studies

Introduction The influence of sex on the prognosis of heart failure with preserved or intermediate ejection fraction (HFpEF and HFmrEF) remains uncertain. This study aimed to investigate whether sex differences impact the prognosis of patients diagnosed with HFpEF and HFmrEF. Methods A comprehensive search across three databases (PubMed, the Cochrane Library, and Embase) was conducted to identify sex-related prognostic cohort studies focusing on HFpEF and HFmrEF. Risk estimates were synthesized using the random effects model. The analysis included 14 cohorts comprising 41,508 HFpEF patients (44.65% males) and 10,692 HFmrEF patients (61.79% males). Results Among HFpEF patients, men exhibited significantly higher rates of all-cause mortality (13 studies; hazard ratio (HR): 1.24, 95% confidence interval (CI): 1.15 to 1.33)) and cardiovascular disease mortality (5 studies; HR: 1.22, 95% CI: 1.14 to 1.31) compared to women. However, no significant difference was observed in HF admissions. For HFmrEF patients, men displayed notably higher all-cause mortality (HR: 1.21, 95% CI: 1.12 to 1.31) but no significant differences in cardiovascular mortality or HF admissions. Discussion These findings suggest that male patients diagnosed with HFpEF and HFmrEF may face a more unfavorable prognosis in terms of all-cause mortality. Variations were noted in cardiovascular mortality and HF admissions, indicating potential complexities in sex-related prognostic factors within these heart failure categories. In summary, male patients with HFpEF and HFmrEF may have a more unfavorable prognosis.
An Ontology to Trace the Computer Science Student Profile

This study proposes an Ontology for Computer Science (CS) students' profiles. This Student model will represent information about the CS student and will be created by extracting constructs and variables from applied questionnaires. The literature presents several instruments that analyze the student's profile and performance in STEM and Computer Science. Some questionnaires were used to determine the profile of CS students to extract constructs and variables such as (a) Sociodemographic and economical; (b) Personality Type; c) Academic performance in secondary education; d) Learning experiences; f) Attitudes toward Programming; g) Science Motivation. h) Parental/Social Support. Our overarching research question of this study is to answer: How can we build an ontology for the computer science student profile that identifies the main factors that motivated him/her to choose a course in this area? This study will build the proposed ontology using the Ontology Development 101 methodology. The proposed ontology will be validated with real-world data and intended to develop case studies to administer internationally validated questionnaires to university students enrolled in Computer Science Major-related courses in public universities. The expected results are to know and trace the profile of CS students (female and male) since secondary education to promote better actions that increase the interest of secondary school students, mainly girls, in the IT area. Thus, this work intends to build an Ontology of CS Students as part of a recommendation system that will make suggestions for actions that encourage more students to pursue a career in Computer Science and then, be able to increase the supply of IT professionals in the market: workforce, especially women.
THE KEYS TO A SUCCESSFUL ROOT CANAL TREATMENT

Failure of root canal treatment (RCT) occurs when endodontic treatment falls short of standard clinical guidelines. An improper mechanical debridement (shaping and cleaning), persistence of bacteria inside the canals and apex, poor obturation quality, coronal leakage, and experience of dentists all probably influence the RCT success or failure. Although there is substantial success of RCT, failures take place in many cases, which usually could be related to the previously mentioned factors. So, it’s considerably imperative to stop the foremost potential factors that cause RCT failure. This paper reviews how to increase the success rate of the RCT.
NOTES AND CORRESPONDENCE Climate Downscaling as a Source of Uncertainty in Projecting Local Climate Change Impacts

This study assessed the sensitivity of the simulated future impact on forage yield over Japan to the precipitation change in growing season derived from the multiple downscaling models, taking the regional climate projection ensemble dataset for Japan as an example. Three regional climate models (RCMs: NHRCM, NRAMS, and TWRF), and one statistical model (CDFDM) provided the fine-resolution (20-km) climate data over Japan from the climate projection performed by a global climate model (GCM: MIROCHI) under A1B scenario. With the common boundaries for the RCMs (and predictor for the statistical model), there is a consistency for the increased summer precipitation. However, discrepancies were found for the degree of precipitation increase and change in the mean summer maximum number of consecutive dry days. These discrepancies caused the spread of the simulated future change in forage yield over Japan by 3.3–11.4% (2081–2100), relative to the present-day one (1981–2000). These results showed that the direction (increase or decrease) and amplitude of the simulated
Leveraging the Application of IoT based Deep Learning Prediction Model in Smart Healthcare

The standard IoT sensors and tools are to learn data construction techniques for creating a predictive model.The use of time series evaluation tools to identify thyroid tumors in their early stages is examined in this research. The records of thyroid ultrasound scans from 475 individuals are examined. The analysis is utilized to evaluate the predictor model's accuracy and the Time Series evaluation methodologies' suitability for correctly identifying thyroid cancer in its early stages. The results demonstrate the effectiveness of time-collection analytic techniques in the early detection of thyroid cancer. The results also highlight the potential for utilizing time series analytic techniques in various cancer-related early detection initiatives. The majority of thyroid tumors were found at an early stage using time series analysis, a finding that is the focus of this technical report. The program developed the ability to distinguish between benign and malignant tumors. The results of the observation demonstrated that the set of guidelines was effective in increasing the precision degree measurement using various wearable IoT Sensors. Additionally, the set of guidelines can identify the presence of a tumor before any scientific symptoms are apparent. The observer concluded that time-collecting analysis might be utilized to identify early cancer symptoms, which would undoubtedly lead to improved outcomes and more advanced treatments.
Computational Vision for Analyzing Student Emotions in E-Learning: A Preliminary Study

Adaptive teaching, mediated by technology, has become a reality and a great ally in distance teaching and learning. Artificial intelligence, through machine learning, has been an important tool for the development of innovative solutions for education. One of the approaches for adaptive teaching has been the student emotion analysis in distance learning to propose didactic solutions that best fit the profile of each student. In this sense, this work aims to present the preliminary studies carried out with SVM models and the AffectNet database in order to propose a solution for the analysis of emotions in the context of distance learning. As a result of this study, it is expected to propose an additional resource for the Homero platform (A Learning Management System) capable of adapting content based on information about the students' emotional states. In addition, this information can also be used to predict potential evasion risks. The development and preliminary tests point to a result with an average accuracy of 73% for emotion recognition based on video. With the tests, it was also possible to verify some necessary adjustments for the development of an efficient model for the recognition and analysis of emotions.
Metabuleiro: a Digital Board Game About the Human Body and a Healthy Diet

Traditional teaching methods often need help engaging students and effectively fostering active participation and knowledge retention. There is a growing need for innovative educational tools to address this challenge that can enhance student engagement and learning outcomes. Educational games have gained significant attention as an effective method to improve motivation, engagement, and learning outcomes in educational settings. This paper introduces Metabuleiro, a digital multiplayer board game developed as a gamified learning tool. While initially focused on teaching metabolism, obesity, and a healthy diet, Metabuleiro's versatility allows its application in various subjects. The objective is to provide teachers with a unique and engaging resource that enhances student engagement and promotes effective learning. Experts collaboratively developed Metabuleiro from computer science and biomedical science. The game combines elements of board games and quizzes to offer a collaborative and competitive learning experience. Careful consideration was given to the game's features, mechanics, and components to ensure an effective learning environment while maintaining an enjoyable gameplay experience. Throughout the development process, feedback from teachers at different educational levels was collected and incorporated into the game's revisions. The final version of Metabuleiro received positive evaluations from teachers, demonstrating high satisfaction and intentions to integrate the educational game or similar tools into their classes. This positive feedback highlights Metabuleiro's potential as an effective educational tool for enhancing student engagement and learning outcomes. Furthermore, the game's adaptability allows it to be applied across various fields of study, making it a valuable resource for educators seeking to incorporate game-based learning and active educational methodologies in their classes. To further enhance our understanding of the game's educational benefits, future research can explore direct feed-back from students and evaluate the impact of Metabuleiro on academic performance. Such research would provide additional insights into the game's effectiveness and validate its use as an educational tool.
RCS Information Aided Poisson Multi-Bernoulli Mixture Filter in Clutter Background

For modern radar systems, the measurement of the target’s radar cross section (RCS) is a standard output besides kinematic measurements. It is straightforward to incorporate RCS information into tracking algorithms for performance improvements in more realistic and difficult scenarios. However, in practice, the proper integration of RCS recursion and Bayesian filter is promising but challenging. To address this issue, an RCS information aided Poisson multi-Bernoulli mixture (RCSI-PMBM) filter in clutter background is proposed in this article. First, the Bayesian RCS estimation strategy is presented, and then, the RCSI-PMBM filter is analytically developed. Moreover, based on the Gamma Gaussian mixture (GGM) form, an effective and efficient implementation of the proposed RCSI-PMBM filter is developed. Finally, the validity of the proposed algorithm is verified by simulation tests with challenging scenarios.
Increasing the robustness of electrodynamic WPT systems with hybrid electromechanical transduction

In this paper, we compare the electrical damping capability of low-frequency electrodynamic wireless power transmission (EWPT) systems based on a resonant electromechanical receiver in the context of increasing their mechanical robustness. This study is carried out for piezoelectric (PE) and electrodynamic (ED) transducers. The receiver studied, excited by a distant transmitter coil, consists of a magnet and a resonant cantilever beam, and both ED and PE transducers (hybrid system). A strategy based on dual energy conversion is proposed that takes advantage of each transduction characteristic: the receiver with high-quality-factor is sufficiently sensitive to very weak excitation fields far from the transmitter, while it is robust to strong magnetic fields close to the transmitter by damping its motion. This approach is particularly relevant to increase the robustness of resonant receivers powering moving sensor nodes as the field strength seen by the receiver can vary greatly. This paper aims to evaluate three energy transduction strategies (PE-only, ED-only and hybrid) to both harvest more power and increase EWPT systems robustness by overdamping. An analytical model of the system is presented along with comparison with experimental results from a 71.7 cm3 prototype. When the motion amplitude is limited to 0.7 mm to limit aging, the receiver output 19 mW which outperforms the PE and ED modes alone by a factor of 1.5 and 1.8, respectively. Furthermore, the hybrid receiver can limit the amplitude of motion to 0.7 mm under a magnetic field up to 3.6 mT, which is 2.5 and 1.2 times higher than PE and ED alone, respectively.
Understanding Earthworm Sub-Lethal Responses to Atrazine and Imidacloprid Using 1H NMR Metabolomics

Earthworms are exposed to a plethora of chemicals that persist in the soil. Traditional ecotoxicity tests are employed to assess contaminant toxicity to earthworms but they do not provide insight into the toxic mode of action at sub-lethal levels. H Nuclear Magnetic Resonance (NMR) metabolomics was applied to understand the mode of action of two widely used agrochemicals, atrazine and imidacloprid, in Eisenia fetida earthworms. Sub-lethal atrazine exposure via contact filter paper test indicated a depression in earthworm metabolism and inhibition in adenosine-5’-triphosphate (ATP) synthesis. On the other hand, sub-lethal imidacloprid exposure via 48 h contact filter paper tests and soil tests suggested that imidacloprid induces an up-regulation in gluconeogenesis. Furthermore, the metabolic response was observed to be more pronounced in the earthworms exposed to imidacloprid via contact filter paper tests in comparison to the earthworm response observed after the soil tests.
Riparian Vegetation Along River Ganga Near Haridwar City And Its Role In The
Presence And Community Structure Of Aquatic Mites

Riparian vegetation is referred to the vegetation along any water body more specifically rivers. It acts as a transitional zone between terrestrial and aquatic ecosystems and serves as its barrier too. It provides resources to the micro and macro invertebrates present in the aquatic ecosystem by providing shade, detritus, plant materials, etc. In the said study a total of 78 species belonging to 38 different families were recorded from Haridwar city along river Ganga and identified with the help of subject matter experts.
To Compare the Perspectives of Teacher Educators and Pupil Teachers for Infrastructure in Teacher’s Training Colleges

Teachers keep the foundation stone of formal learning. This learning should be built up with planning and affection. A great deal of thoughts of teachers is required in a friendly environment. For this, we need well trained teachers. In ITEP, Teacher education colleges are given comprehensive guidelines for infrastructure improvement. Good infrastructure will definitely improve the level of teacher education. A researcher conducted an online survey for a sample of teachers and students. The purpose of this study is to compare the perspectives of the respondents regarding teacher training infrastructure. This study also points out the importance of various features of the teacher training infrastructure from the point of view of the respondents and encourages the respondents to express their opinion on better use of the infrastructure.