Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Magnesium in the Intensive Care Unit and Immunomodulation: A Literature Review

Both the role and the importance of magnesium in clinical practice have grown considerably in recent years. Emerging evidence suggests an association between loss of magnesium homeostasis and increased mortality in the critical care setting. The underlying mechanism is still unclear, but an increasing number of in vivo and in vitro studies on magnesium’s immunomodulating capabilities may shed some light on the matter. This review aims to discuss the evidence behind magnesium homeostasis in critically ill patients, and its link with intensive care unit mortality via a likely magnesium-induced dysregulation of the immune response. The underlying pathogenetic mechanisms, and their implications for clinical outcomes, are discussed. The available evidence strongly supports the crucial role of magnesium in immune system regulation and inflammatory response. The loss of magnesium homeostasis has been associated with an elevated risk of bacterial infections, exacerbated sepsis progression, and detrimental effects on the cardiac, respiratory, neurological, and renal systems, ultimately leading to increased mortality. However, magnesium supplementation has been shown to be beneficial in these conditions, highlighting the importance of maintaining adequate magnesium levels in the intensive care setting.
Cross-Sectional ARDL Analysis to Access the Impact of Stressful Living Environment and Extreme Weather Events on Youth’s Education

This study’s primary objective is to investigate the impact of stressful living environments and extreme weather conditions on youth’s education. For the fulfillment of this objective, the unique and latest methodology, such as second-generation unit root, cross-sectional ARDL, and the Westerlund approach are used on panel data taken from India and Pakistan. The cross-sectional dependency test is also employed to determine the internal correlations between cross-sections. The results indicate that there are long- as well as short-run relationships between variables. This study helps to develop policies to manage natural disasters, as well as provide the theoretical background to reduce the stressful living environment.
Lesions: A Systematic Review and MRI Findings in Tumefactive Demyelinating

BACKGROUND: Accurate diagnosis of tumefactive demyelinating lesions is clinically important to avoid unnecessary invasive biopsy or inappropriate treatment. PURPOSE: We aimed to evaluate conventional and advanced MR imaging ﬁndings of tumefactive demyelinating lesions and determine the diagnostic performance of MR imaging for differentiating tumefactive demyelinating lesions from primary brain tumor. DATA SOURCES: A systematic search of Ovid MEDLINE and EMBASE up to December 6, 2017, was conducted. STUDY SELECTION: Original articles describing MR imaging ﬁndings in patients with tumefactive demyelinating lesions were selected. DATA ANALYSIS: The pooled incidences of conventional MR imaging ﬁndings of tumefactive demyelinating lesions were obtained with the DerSimonian and Liard random-effects model. The pooled sensitivity and speciﬁcity of MR imaging for differentiating tumefactive demyelinating lesions from primary brain tumor were obtained using the bivariate random-effects model. DATA SYNTHESIS: Nineteen eligible studies with 476 patients with tumefactive demyelinating lesions were included. The pooled incidence of open ring or incomplete rim enhancement was 35% (95% CI, 24%–47%), which was signiﬁcantly higher than the incidence of closed ring or complete rim enhancement (18% [95% CI, 11%–29%]; P (cid:2) . 0281). The pooled incidences of T2 hypointense rim, absent or mild mass effect, and absent or mild perilesional edema were 48%, 67%, and 57%, respectively. On advanced MR imaging, tumefactive demyelinating lesions showed a high apparent diffusion coefﬁcient, peripheral restricted diffusion, and low cerebral blood volume. The pooled sensitivity and speciﬁcity of MR imaging for differentiating tumefactive demyelinating lesions from primary brain tumor were 89% (95% CI, 82%–93%) and 94% (95% CI, 89%–97%), respectively. LIMITATIONS: Seventeen of 19 studies were retrospective studies. CONCLUSIONS: Conventional MR imaging ﬁndings may help differentiate tumefactive demyelinating lesions from primary brain tumor, though further study is needed to determine the added value of advanced MR imaging
Tutors Matter: The Relationship between Medical Students’ Satisfaction from Their Tutor and Their Overall Satisfaction from Clinical Rotations

Background and Aim: Medical students are required to complete a number of clinical rotations in hospital departments, affiliated with the Azrieli Faculty of Medicine, under the supervision of a department tutor. Our experience shows that departments receiving good scores typically also receive good feedback for their tutor. Accordingly, our aim was to assess the tutor contribution to students’ overall satisfaction from clinical rotations in hospital departments across northern Israel. Methods: Here, we recorded the students’ reported satisfaction with tutors as well as the satisfaction with clinical rotations in different departments of Galilee Medical Center (GMC) in Naharia, and Baruch Padeh Medical Center in Poria. The students’ reported satisfaction was assessed numerically and verbally using questionnaires over a period of three years. Results: We find that the students reported satisfaction with a clinical rotation is positively and significantly correlated with the student satisfaction with the tutor, and less with other factors such as hospital organization and department facilities, geographical distance from home, working hours, etc. Conclusion: Our findings suggest that medical schools can increase students’ satisfaction through investment in good tutors.
The Effect of Xevinapant Combined with Ionizing Radiation on HNSCC and Normal Tissue Cells and the Impact of Xevinapant on Its Targeted Proteins cIAP1 and XIAP

The poor prognosis of HNSCC is partly due to treatment resistance. The SMAC mimetic Xevinapant is a promising new approach to targeted cancer therapy. Xevinapant inhibits cIAP1/2 and XIAP, leading to apoptosis, necroptosis and inhibition of prosurvival signaling. Combining Xevinapant with IR could improve therapeutic potential. The effect of Xevinapant in combination with IR on HNSCC and healthy tissue cells was investigated. Cell growth, cell death, clonogenic survival and DNA double-strand breaks (DSBs) were studied, and intracellular cIAP1 and XIAP levels were evaluated. Xevinapant had cytostatic and cytotoxic, as well as radiosensitizing, effects on the malignant cells, while healthy tissue cells were less affected. Apoptotic and necrotic cell death was particularly affected, but the increase in residual DSBs and the reduced survival implied an additional effect of Xevinapant on DNA damage repair and other cell inactivation mechanisms. cIAP1 and XIAP levels varied for each cell line and were affected by Xevinapant and IR treatment. There was an association between higher IAP levels and increased cell death. Xevinapant appears to be a potent new drug for HNSCC therapy, especially in combination with IR. IAP levels could be an indicator for impaired DNA damage repair and increased susceptibility to cellular stress.
DNA Barcoding and Phylogenetics Relationship of Pangasiid Catfishes in Peninsular Malaysia Revealed the Impacts of Aquaculture on the Native Species Conservation

Pangasiids are an economically significant group of catfish, and many pangasiids are threatened in the wild from anthropogenic pressures, including increases in fishing pressure, habitat degradation, and improperly managed aquaculture practices. This study demonstrates the usage of DNA barcoding of the Cytochrome Oxidase subunit I (COI) gene as an identification tool in detecting potentially threatening invasive pangasiid species by establishing the diversity and phylogenetic relationship of Pangasiidae catfishes in Peninsular Malaysia. A neighbour-joining (NJ) dendrogram (Kimura-2-parameter model) generated five clades to represent distinct genera. Pangasius was further subdivided into two clades (Clade A: Pangasius bocourti-P. djambal and Clade B: P. nasutus-P. conchophilus). Given the marginal genetic divergence, indigenous and non-native species should be treated cautiously in allopatrically distributed species. The analysis used Automatic Barcode Gap Discovery (ABGD) and revealed barcode gaps between the intraspecific and interspecific distances. The sequences were partitioned into five groupings, corresponding with the species delineation based on the distribution of pairwise differences, which could not be differentiated using the NJ dendrogram. ABGD allows the recognition of one or two additional species using the recursive approach, but other taxonomic methods should be considered for a solid conclusion. DNA barcoding demonstrates the identification of closely related species, thus justifying its application towards the conservation of these fish.
Reducing Prejudice against Children with Tungiasis: A Qualitative Study from Kenya on How a School Intervention May Raise Awareness and Change Attitudes towards Neglected Diseases

Tungiasis/jiggers, which is caused by the sand flea, tunga penetrans, is a ferocious but neglected disease that affects millions of people in more than 80 low-income countries. If left untreated, jiggers may not only cause pain and secondary infection, but also lead to disabilities, including difficulties grasping and walking, concentration problems, sleep disturbance, skin issues and, among children, exclusion from school due to stigma and prejudice. This study aims to shed light on how a sensitising school intervention may increase awareness and improve attitudes towards jiggers among non-affected pupils. The intervention included 11 h of teaching, involving 75 pupils. In addition to teaching and observation, a pretest and a posttest were conducted. The thematic analysis of the pretest statements resulted in the following themes: “Those affected by jiggers lack knowledge”, “Those affected by jiggers lack proper hygiene” and “Those affected by jiggers should be isolated from society”. Moreover, thematic analysis of the posttest statements resulted in the following themes: “Increased knowledge: ‘Now, I can even educate people about jiggers! ’” and “Increased compassion: ‘I feel bad about those people’”. To foster a more inclusive school environment, including for children with disabilities due to jiggers, research on the long-term effects of similar school interventions is recommended.
Move Your Body, Boost Your Brain: The Positive Impact of Physical Activity on Cognition across All Age Groups

While the physical improvements from exercise have been well documented over the years, the impact of physical activity on mental health has recently become an object of interest. Physical exercise improves cognition, particularly attention, memory, and executive functions. However, the mechanisms underlying these effects have yet to be fully understood. Consequently, we conducted a narrative literature review concerning the association between acute and chronic physical activity and cognition to provide an overview of exercise-induced benefits during the lifetime of a person. Most previous papers mainly reported exercise-related greater expression of neurotransmitter and neurotrophic factors. Recently, structural and functional magnetic resonance imaging techniques allowed for the detection of increased grey matter volumes for specific brain regions and substantial modifications in the default mode, frontoparietal, and dorsal attention networks following exercise. Here, we highlighted that physical activity induced significant changes in functional brain activation and cognitive performance in every age group and could counteract psychological disorders and neural decline. No particular age group gained better benefits from exercise, and a specific exercise type could generate better cognitive improvements for a selected target subject. Further research should develop appropriate intervention programs concerning age and comorbidity to achieve the most significant cognitive outcomes.
Pricing Decisions and Coordination in E-Commerce Supply Chain with Wholesale Price Contract Considering Focus Preferences

Decision makers’ behavioral preferences have always been important in coordinating the supply chain. Decision makers need to choose a partner wisely to increase the profitability of the entire supply chain, especially in the competitive e-commerce environment. In this paper, we examine a two-echelon e-commerce supply chain with one retailer and one supplier using the most popular wholesale price contract to facilitate collaboration. Traditional research has shown that the classical expectation model cannot coordinate the supply chain. We apply the focus theory of choice to describe the retailer’s behavior as a follower, and we examine the impact of the retailer’s pricing decisions on the supplier under different focus preferences and the coordination for the entire supply chain. The lower the parameter φ, which represents the degree of positivity, and the higher the parameter κ, which represents the level of confidence, the closer the profit of the whole supply chain is to the coordination result—both are visualized through numerical experiments and images. In the case of φ determination, the lower the κ, the better the supply chain coordination. The finding implies that the retailer may be able to coordinate the supply chain and produce better results than the expectation model when he or she makes choices using a positive evaluation system that includes both higher levels of optimism and lower levels of confidence. The findings of the FTC model can simultaneously offer a theoretical foundation for expanding collaboration among supply chain participants and management insights for decision makers to choose cooperation partners.
Perceived Achievement of Social Entrepreneurship Competency: The Influence of Age, Discipline, and Gender among Women in Higher Education

The complexity of today’s world demands a shift in education from knowledge acquisition to competency development for students to effectively address profession-related challenges. In particular, there is a need for social entrepreneurs who can act as catalysts for change in complex environments. Understanding the elements that shape students’ perception of themselves as social entrepreneurs allows us to grasp their capacity as catalysts for transformative action. The main purpose of this research is to showcase the findings of a diagnostic investigation carried out on a group of Mexican university students, assessing their perceived proficiency in social entrepreneurship and its sub-competencies. The study examined whether age or discipline influenced the perception of entrepreneurship in 328 students. The results revealed that age and study discipline played a crucial role in shaping students’ perception of their competency achievement. Younger students tended to perceive their abilities better, while advanced semester students were more cautious in assessing their entrepreneurial competencies. The trend also extended to sub-competencies, with younger students tending to perceive their social skills positively, while older students focused more on practical knowledge such as the economic and administrative aspects of entrepreneurship. Students in business also tended to view their skills more positively compared to students in other disciplines. The findings highlight the need to promote women’s social entrepreneurship and emphasize the importance of considering these relevant elements that are crucial to the concrete reality of potential female entrepreneurs. The study has significant implications for policymakers, educators, and researchers interested in promoting social entrepreneurship among women, particularly in the Latin American context.
Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning

The advancements and reliance on digital data necessitates dependence on information technology. The growing amount of digital data and their availability over the Internet have given rise to the problem of information security. With the increase in connectivity among devices and networks, maintaining the information security of an asset has now become essential for an organization. Intrusion detection systems (IDS) are widely used in networks for protection against different network attacks. Several machine-learning-based techniques have been used among researchers for the implementation of anomaly-based IDS (AIDS). In the past, the focus primarily remained on the improvement of the accuracy of the system. Efficiency with respect to time is an important aspect of an IDS, which most of the research has thus far somewhat overlooked. For this purpose, we propose a multi-layered filtration framework (MLFF) for feature reduction using a statistical approach. The proposed framework helps reduce the detection time without affecting the accuracy. We use the CIC-IDS2017 dataset for experiments. The proposed framework contains three filters and is connected in sequential order. The accuracy, precision, recall and F1 score are calculated against the selected machine learning models. In addition, the training time and the detection time are also calculated because these parameters are considered important in measuring the performance of a detection system. Generally, decision tree models, random forest methods, and artificial neural networks show better results in the detection of network attacks with minimum detection time.
Public Administration and Landowners Facing Real Estate Cadastre Modernization: A Win-Lose or Win-Win Situation?

Keeping the real estate cadastre’s database up to date is a very important process. The scope of the modernization works includes, among other things, fieldwork and office (chamber) work carried out by surveyors to update information about land and buildings. Therefore, modernization may result in changes to plot areas; changes to the marking of plots and land use (and, consequently, a change in the property tax); and the disclosure or deletion of buildings and premises, as well as changes to their technical data. The research, based on a case study (rural municipality Serniki, Poland), and supported by a literature review, remote sensing, and digital photogrammetry, clearly showed the importance of initiating the cadastre modernization procedure and obtaining funds for this purpose, which will be beneficial for both parties. Landowners will gain by bringing the current image of their real estate closer to the actual state (e.g., by paying taxes for the real utility of the land), while administrative units will become the beneficiaries of higher tax revenues (up to over 500%). Thus, the analysis carried out on the case study shows positive effects for both parties, and justifies the financial outlay incurred by the administrative units for this process. Moreover, the analysis revealed that, due to the possibility of obtaining funding from other sources, the cost to the public administration may be marginal. Thus, the cadastre modernization procedure should be integrated into regional and national policies.
Isotonic Drinks Based on Organic Grape Juice and Naturally Flavored with Herb and Spice Extracts

The aim of this study was the elaboration of isotonic drinks rich in bioactive compounds and antioxidant activity using organic ingredients and without synthetic additives. Grape juice was used as a natural source of sugars and phenolic compounds, combined with lemon juice and natural flavors from herb and spice extracts. The ingredients were diluted in two types of water with different mineralization, to which three different determined concentrations of salts (sodium chloride and potassium chloride) were added. The beverages had a sugar content ranging from 72.73 ± 0.23 to 78.43 ± 0.06 g/L, total soluble solids between 4.23 ± 0.06 and 4.83 ± 0.29 °Brix, and total acids from 1.75 ± 0.02 to 2.39 ± 0.08 g/L. Generally, antioxidant activity was higher in the beverages flavored with herb and spice extracts, ranging from 3.28 ± 0.01 to 4.27 ± 0.09 µmols Trolox equivalent/mL. Color intensity showed an increase of up to 129.39% in all samples during the storage period, being higher in beverages prepared with high-mineral water and having high pH values. The results of sensory analysis revealed that the flavored beverages had higher values of global perception than the controls. Thus, the functional properties of grape juice have been increased, and these beverages can be alternative natural and healthy products because their formulation is based only on organic and natural ingredients.
Superior High Transistor’s Effective Mobility of 325 cm2/V-s by 5 nm Quasi-Two-Dimensional SnON nFET

This work reports the first nanocrystalline SnON (7.6% nitrogen content) nanosheet n-type Field-Effect Transistor (nFET) with the transistor’s effective mobility (µeff) as high as 357 and 325 cm2/V-s at electron density (Qe) of 5 × 1012 cm−2 and an ultra-thin body thickness (Tbody) of 7 nm and 5 nm, respectively. At the same Tbody and Qe, these µeff values are significantly higher than those of single-crystalline Si, InGaAs, thin-body Si-on-Insulator (SOI), two-dimensional (2D) MoS2 and WS2. The new discovery of a slower µeff decay rate at high Qe than that of the SiO2/bulk-Si universal curve was found, owing to a one order of magnitude lower effective field (Eeff) by more than 10 times higher dielectric constant (κ) in the channel material, which keeps the electron wave-function away from the gate-oxide/semiconductor interface and lowers the gate-oxide surface scattering. In addition, the high µeff is also due to the overlapped large radius s-orbitals, low 0.29 mo effective mass (me*) and low polar optical phonon scattering. SnON nFETs with record-breaking µeff and quasi-2D thickness enable a potential monolithic three-dimensional (3D) integrated circuit (IC) and embedded memory for 3D biological brain-mimicking structures.
The Use of Galactomannan Antigen Assays for the Diagnosis of Invasive Pulmonary Aspergillosis in the Hematological Patient: A Systematic Review and Meta-Analysis

The optimal cut-off value of the optical density index of the galactomannan antigen assays (GM) for diagnosing invasive pulmonary aspergillosis in hematological patients is a disputed topic. This article conducts a systematic review with a meta-analysis to establish which optical density index (ODI) cut-off value should be implemented into clinical practice. Pubmed, Embase and Cochrane databases were searched (N = 27). The pooled data, using a generalized linear mixed model with binomial distribution, resulted in an overall serum sensitivity of 0.76 and a specificity of 0.92. For serum ODI 0.5 there was a pooled sensitivity of 0.92 and a specificity of 0.84. The pooled data of all broncho-alveolar lavage (BAL) studies resulted in an overall sensitivity of 0.80 and a specificity of 0.95. For BAL ODI 0.5, there was a pooled sensitivity of 0.75 and a specificity of 0.88. For the BAL ODI 1.0 pooling, the studies resulted in a sensitivity of 0.75 and a specificity of 0.96. Serum ODI of 0.5 and BAL ODI of 1.0 are the most suitable cut-offs for clinical practice. However, our study affirms that the evidence for the use of GM in clinical practice for the hematological malignancy patient is currently insufficient and more research is needed to determine the diagnostic value of GM.