Miracle-dz/UniFAR-FTUs huggingface dataset:
Biological properties of andrographolide, an active ingredient of Andrographis Paniculata: a narrative review

Andrographolide is a labdane diterpenoid isolated from Andrographis paniculata and traditionally used in Chinese and Indian medicine. Reported effects include anti-bacterial, anti-inflammatory and anti-cancer functions. Most of the studies support the hypothesis that andrographolide supplementation stimulates immune system, so the observed effects migh in fact be secondary to the stimulation of defense reactions. As andrographolide is involved in regulation of inflammation, it is not surprising that it is also evaluated in inflammation-mediated diseases such as ulcerative colitis. Anticancer effects of the andrographolide have been tested on various cancer panels. Colon cancer, breast cancer, and head and neck carcinomas were the most investigated, followed by prostate cancer and glioblastoma. The results looked promising. However, problems with solubility and low level of active substance in natural extract leads to preparation of chemical analogs. Objective of this short review is to summarize current knowledge of the biological effects of andragrapholide. We conclude that despite documented effects and some partly characterized mechanisms of action, more research is clearly needed. At present, the doses, types of treatment and possible negative side effects are not yet established. In addition, various isolations and compound formulas have been used for treatment of various diseases, making final conclusions problematic.
Racial Disparities in Adverse Cardiovascular Outcomes After a Myocardial Infarction in Young or Middle‐Aged Patients

Background Black patients tend to develop coronary artery disease at a younger age than other groups. Previous data on racial disparities in outcomes of myocardial infarction (MI) have been inconsistent and limited to older populations. Our objective was to investigate racial differences in the outcome of MI among young and middle‐aged patients and the role played by socioeconomic, psychosocial, and clinical differences. Methods and Results We studied 313 participants (65% non‐Hispanic Black) <61 years old hospitalized for confirmed type 1 MI at Emory‐affiliated hospitals and followed them for 5 years. We used Cox proportional‐hazard models to estimate the association of race with a composite end point of recurrent MI, stroke, heart failure, or cardiovascular death after adjusting for demographic, socioeceonomic status, psychological, and clinical risk factors. The mean age was 50 years, and 50% were women. Compared with non‐Black patients, Black patients had lower socioeconomic status and more clinical and psychosocial risk factors but less angiographic coronary artery disease. The 5‐year incidence of cardiovascular events was higher in Black (35%) compared to non‐Black patients (19%): hazard ratio (HR) 2.1, 95% CI, 1.3 to 3.6. Adjustment for socioeconomic status weakened the association (HR 1.3, 95% CI, 0.8–2.4) more than adjustment for clinical and psychological risk factors. A lower income explained 46% of the race‐related disparity in outcome. Conclusions Among young and middle‐aged adult survivors of an MI, Black patients have a 2‐fold higher risk of adverse outcomes, which is largely driven by upstream socioeconomic factors rather than downstream psychological and clinical risk factors.
AKT3 and related molecules as potential biomarkers responsible for cryptorchidism and cryptorchidism-induced azoospermia

Background Cryptorchidism is a common congenital malformation strongly related to future oligospermia and male infertility. Normally functioning early-stage spermatogonia are vital to ensure fertility. The present study aimed to identify new differentially expressed genes (DEGs) associated with signaling pathways related to spermatogonial stem cell (SSC) maintenance during early spermatogenesis. Methods GEO2R was used to screen for genes differentially regulated in cryptorchidism using mRNA expression profiling data in the GEO database. DAVID was used to perform GO and KEGG enrichment analysis of DEGs to analyze their functions. A protein-protein interaction (PPI) network of DEGs was constructed using the STRING database. The hub genes in the PPI networks were identified using Maximal Clique Centrality (MCC) in Cytohubba, and the top 50 genes were displayed as hub genes using Cytoscape software. Then, the miRNAs targeting hub genes were predicted using miRWalk and an mRNA-miRNA interaction network was constructed using Cytoscape. We took the intersection of these target miRNAs and the differentially expressed miRNAs identified from a non-coding RNA sequencing dataset, GSE149084. Furthermore, the intersected miRNAs and their predicted target genes were validated in the testicular tissue of rats with cryptorchidism. Results A total of 474 DEGs were identified, most of which were annotated to the PI3K-AKT-mTOR signaling pathway. Hub genes related to the pathway were predicted to be targeted by 27 miRNAs. Further miRNA mining revealed that miRNA-7-5p and miRNA-519d-3p were both dysregulated in cryptorchidism patients. Further, we found that these two miRNAs were predicted with high confidence to share a common target gene, AKT3. In the testicular tissue of rats with cryptorchidism, miRNA-519d-3p was upregulated while miRNA-7-5p and AKT3 were downregulated. We also found that AKT3 plays an essential role in regulating SSC state through the PI3K-AKT-mTOR signaling pathway and that AKT3 is one of the key genes related to SSC self-renewal, proliferation, and differentiation. Conclusions The PI3K-AKT-mTOR signaling pathway functions in SSC maintenance, and alterations in this pathway may explain defects in spermatogenesis. AKT3-related miRNAs, including hsa-miR-7-5p and hsa-miR-519d-3p, might be responsible for cryptorchidism and cryptorchidism-induced azoospermia and serve as potential biomarkers.
Study of immunomodulatory effect of sitopaladi churna in mice

Title: To study immunomodulatory effect of sitopaladi churna in mice. OBJECTIVES: 1. To evaluate immunomodulatory activity of sitopaladi churna by determining host resistance against E.Coli induced sepsis in mice 2. To elucidate probable mechanism of action of sitopaladi churna. METHODS: Immunomodulatory activity of sitopaladi churna was evaluated by determining host resistance against E.coli induced sepsis. The mechanism of action was studied in mice which survived from sepsis, with the help of histopathology of spleen, thymus along with evaluation of bone marrow cells. RESULTS: The sitopaladi churna has increased the survival in sepsis induced mice. It has increased cellularity in PALS, marginal zone & follicles of spleen as well as cortex, medulla of thymus. The test drug also increased myeloid & lymphoid cells in bone marrow. All the results were statistically significant as compared with control & were comparable with septilin syrup group which was used as standard treatment. CONCLUSION: Pretreatment with sitopaladi churna before induction of sepsis have shown prominent increase in the survival rate due to its immunostimulant activity.
Electromagnetic simulation and test based on shielding effectiveness of cabinet shell

Electromagnetic simulation technology is an important means to study microwave electromagnetic field and electromagnetic compatibility. The shielding effectiveness of electronic cabinet made of carbon fiber materials is studied by simulation method. The mainstream 3D full wave electromagnetic simulation software CST and modern electromagnetic simulation algorithm are used as research tools to analyze the shielding effectiveness of electronic cabinet made of carbon fiber materials. The simulation results are verified by means of scaled model verification, which greatly reduces the cost of experimental verification and improves the research efficiency.
Research on Yaw Error Detection of Wind Turbine Based on Particle Swarm Optimization

Yaw system is an important part of the wind turbine, one of its main functions is to automatically face the wind when the wind turbine is in normal operation, to ensure that the engine room is facing the wind direction, so that the wind turbine can make efficient use of wind energy. However, the yaw system can not guarantee the accuracy at all times, which leads to the wind deviation. Too large deviation of wind energy not only reduces the efficiency of wind turbine using wind energy, but also leads to abnormal wear of equipment parts, which is not conducive to the normal operation of the unit. In this paper, a wind turbine deviation detection algorithm based on SCADA data is proposed. The detection algorithm mainly includes wind speed segmentation, data fitting, particle swarm optimization and other key technologies. After wind field verification, the algorithm proposed in this paper can effectively detect the wind deviation of wind turbines, and help to improve the efficiency of wind turbines.
Latent Effects for Reusable Language Components: Extended Version

The development of programming languages can be quite complicated and costly. Hence, much effort has been devoted to the modular definition of language features that can be reused in various combinations to define new languages and experiment with their semantics. A notable outcome of these efforts is the algebra-based “datatypes à la carte” (DTC) approach. When combined with algebraic effects, DTC can model a wide range of common language features. Unfortunately, the current state of the art does not cover modular definitions of advanced control-flow mechanisms that defer execution to an appropriate point, such as call-by-name and call-by-need evaluation, as well as (multi-)staging. This paper defines latent effects, a generic class of such control-flow mechanisms. We demonstrate how function abstractions, lazy computations and a MetaML-like staging can all be expressed in a modular fashion using latent effects, and how they can be combined in various ways to obtain complex semantics. We provide a full Haskell implementation of our effects and handlers with a range of examples.
Identification of Novel miRNAs in the F8 Gene Via Bioinformatics Tools

Background: Hemophilia A is an X-linked bleeding disorder resulting in a deficiency of plasma clotting factor VIII and caused by mutations in the FVIII gene (F8 gene). MicroRNAs (miRNAs) in body fluids are promising biomarker candidates for Hemophilia A, due to their stability in body fluids and accessibility by non- or minimally-invasive procedures. Therefore; Advances in miRNA analysis methods resulted in a wide range of publications on miRNAs as putative biomarkers. Objective: Here we tried to scan the F8 gene region to predict a novel miRNA and identify it as a regulator of the F8 gene. Materials and Methods: To this aim, the ability to express novel miRNAs in F8 locus was assessed via reliable bioinformatics databases such as SSCprofiler, RNAfold, miREval, FOMmiR, MaturBayes, miRFIND, UCSC genome browser, Deep Sequencing, and miRBase. Results: Data analysis from the relevant databases offers one stem-loop structure that is predicted to express a novel miRNA Conclusions: The diagnosis of Hemophilia A with the help of these types of biomarkers is a non-invasive procedure that has been demonstrated to have a significant role in the early diagnosis of the disease. Hopefully, the proposed candidate sequence will be confirmed in vitro and become a non-invasive biomarker in the near future
I NVESTIGATING THE RELATIONSHIP BETWEEN SELF-ESTEEM AND STRESS COPING STYLES WITH STUDENTS

The aim of this study is to investigate the relationship between self-esteem and stress coping styles with students’ procrastination. The statistical population of the study is all high school female students in Mashhad City in the academic year of 2018-2019. Due to the high volume of the population, using the Karajsi and Morgan (1970), the sample size was 384. Subjects answered three questionnaires that are: Rosenberg Self-Esteem Scale (1965), Andler and Parker's Stress Dealing Styles (1990), and Solomon and Rothblum Academic Procrastination (1984). Pearson Multiple Correlation coefficients were used for analyzing the data. The results showed that between self-esteem with procrastination and avoidance coping style with procrastination, is a significant relationship (p <0.05). Both of the self-esteem and the avoidance coping style variables are procrastination’s predictions (p <0.05). In other words, the lower self-esteem and the more avoidance coping styles of a person is, the more procrastination they show.
A prediction and imputation method for marine animal movement data

Data prediction and imputation are important parts of marine animal movement trajectory analysis as they can help researchers understand animal movement patterns and address missing data issues. Compared with traditional methods, deep learning methods can usually provide enhanced pattern extraction capabilities, but their applications in marine data analysis are still limited. In this research, we propose a composite deep learning model to improve the accuracy of marine animal trajectory prediction and imputation. The model extracts patterns from the trajectories with an encoder network and reconstructs the trajectories using these patterns with a decoder network. We use attention mechanisms to highlight certain extracted patterns as well for the decoder. We also feed these patterns into a second decoder for prediction and imputation. Therefore, our approach is a coupling of unsupervised learning with the encoder and the first decoder and supervised learning with the encoder and the second decoder. Experimental results demonstrate that our approach can reduce errors by at least 10% on average comparing with other methods.
COVID-19 and vitamin D (Co-VIVID study): a systematic review and meta-analysis of randomized controlled trials

ABSTRACT Introduction Vitamin D levels have been reported to be associated with COVID-19 susceptibility, severity, and mortality events. We performed a meta-analysis of randomized controlled trials (RCTs) to evaluate the use of vitamin D intervention on COVID-19 outcomes. Areas covered Literature search was conducted using PubMed, Cochrane library, and ClinicalTrials.gov databases. We included RCTs reporting the use of vitamin D intervention to control/placebo group in COVID-19. The study was registered at PROSPERO: CRD42021271461. Expert opinion A total of 6 RCTs with 551 COVID-19 patients were included. The overall collective evidence pooling all the outcomes across all RCTs indicated the beneficial use of vitamin D intervention in COVID-19 (relative risk, RR = 0.60, 95% CI 0.40 to 0.92, Z = 2.33, p = 0.02, I2 = 48%). The rates of RT-CR positivity were significantly decreased in the intervention group as compared to the non-vitamin D groups (RR = 0.46, 95% CI 0.24 to 0.89, Z = 2.31, p = 0.02, I2 = 0%). Conclusively, COVID-19 patients supplemented with vitamin D are more likely to demonstrate fewer rates of ICU admission, mortality events, and RT-PCR positivity.
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation

Today's research in recommender systems is largely based on experimental designs that are static in a sense that they do not consider potential longitudinal effects of providing recommendations to users. In reality, however, various important and interesting phenomena only emerge or become visible over time, e.g., when a recommender system continuously reinforces the popularity of already successful artists on a music streaming site or when recommendations that aim at profit maximization lead to a loss of consumer trust in the long run. In this paper, we discuss how Agent-Based Modeling and Simulation (ABM) techniques can be used to study such important longitudinal dynamics of recommender systems. To that purpose, we provide an overview of the ABM principles, outline a simulation framework for recommender systems based on the literature, and discuss various practical research questions that can be addressed with such an ABM-based simulation framework.
Resilience and its inter‐relationship with symptomatology, illness course, psychosocial functioning, and mediational roles in schizophrenia: A systematic review

Schizophrenia is a major psychiatric disorder which poses substantial illness burden on affected individuals. In view of the need to better understand the growing literature on resilience (adaptation in the face of adversity) and its clinical correlates to inform and optimize clinical management in schizophrenia, we sought to summarize the extant literature which examined the inter‐relationships between resilience and demographic features, phenomenology, illness course, psychosocial functioning, and its mediational role among relevant factors.
Optimal Use of Liquefied Natural Gas (LNG) Cold Energy in Air Separation Units

One of the solutions to utilizing liquefied natural gas (LNG) cold energy at import terminals is supplying it to an air separation unit (ASU), replacing an external refrigeration process and reducing the power consumption. Thus, two different options for the integration of a novel single column ASU process with LNG vaporization have been developed to achieve optimal use of the cold energy. After optimization of the heat integration part, both energy and exergy analyses have been performed to evaluate and compare the two integration options. The results indicate that the single column ASU process, precooled by an LNG stream, has a lower specific power consumption (0.281 kWh/kg) than the integration option with a liquid nitrogen production cycle (0.310 kWh/kg). The integration option with precooling also delivers a higher exergy efficiency for different LNG pumping pressure levels compared to the alternative with a liquid nitrogen production cycle.
Job Resignation in Nursing Homes During the COVID-19 Pandemic: The Role of Quality of Employer Communication

Limited research has examined coronavirus disease 2019 (COVID-19)-related work stressors experienced by nursing home (NH) employees and how these stressors may impact employees’ decision to resign when taking organizational factors into account. Thus, the purpose of this study was to investigate whether quality of employer communication related to COVID-19 and staff preparedness to care for residents with COVID-19 can mediate the effects of COVID-19-related stressors on NH employees’ (N = 1,730) decision to resign. Results from path analyses indicate that higher quality of communication and more optimal preparedness mediated the relationship between COVID-19-related stressors and likelihood of resignation. Specifically, higher levels of COVID-19-related stressors were indirectly associated with reduced likelihood of resigning through the paths of more optimal communication and preparedness. Findings underscore the importance of effective employer communication during emergencies in NHs.
Allergen immunotherapy against house dust mites in patients with local allergic rhinitis and asthma

Abstract Local allergic rhinitis (LAR) is a clinical rhinitis phenotype characterized by the presence of nasal symptoms of AR in nonatopic patients with a negative skin prick test and undetectable specific IgE (sIgE) in serum against inhalant allergens but with a positive nasal allergen provocation test. This study evaluated the effectiveness of a 12-month course of sublingual immunotherapy (SLIT) for house dust mite (HDM) allergies in adult patients with confirmed LAR and concomitant asthma. Methods The study was a prospective, double-blind, placebo-controlled trial with patients diagnosed with LAR to HDMs and with concomitant asthma who underwent a 12-month treatment course of SLIT for HDM allergies. Seventeen patients were randomized to SLIT with the use of allergen extracts of D. pteronyssinus and D. farinae (50/50%) in SQ-HDM SLIT tablets and 15 patients were randomized to the placebo group. The total rhinitis score (TRSS), total asthma symptom score (TASS), combined total symptom score (TSS), total medication score (TMS), and FEV1 were analyzed. Results: In the final analysis, 16 patients who received SLIT and 14 who received placebo who completed the study protocol were included. Significant reductions in TRSS, TASS, TSS, and TMS after 12 months of treatment were observed in patients after SLIT (p < 0.05). A significant increase in the mean FEV1 between baseline and after 12 months of therapy was observed in the study, with p = 0.03 in the study group. Conclusion: SLIT can improve nasal and bronchial symptoms and reduce symptomatic treatment in patients with LAR and asthma and with hyperresponsiveness to HDMs.
Interruption of regular dental visits during the COVID‐19 pandemic due to concerns regarding dental visits was associated with periodontitis in Japanese office workers

Abstract Objective To investigate the interrelationships among concerns regarding dental visits, the status of regular dental visits, and periodontal health during the coronavirus disease 2019 (COVID‐19) pandemic. Background Continuous oral health care and regular dental visits are important for maintaining periodontal health. Due to the possibility of contracting COVID‐19, individuals have been reluctant to visit medical institutions. It is unclear how the periodontal health of the Japanese population has been affected by the interruption of regular dental visits during the COVID‐19 pandemic and how concerns regarding dental visits have affected attendance at regular dental visits. Methods This study included 199 Japanese office workers in one municipal office at Fukuoka Prefecture, Japan (average age = 42.6 years; age range = 19–77 years; 123 men and 76 women). Periodontitis was defined based on a full‐mouth periodontal examination. The status of regular dental visits during the COVID‐19 pandemic and concerns regarding dental visits were obtained via questionnaire. We tested the hypothesis that concerns regarding dental visits would indirectly affect periodontal health through the interruption of regular dental visits during the COVID‐19 pandemic. We used mediation analysis, in which concerns regarding dental visits (present or absent) were set as the exposure, periodontitis (present or absent) was set as the outcome, and the status of regular dental visits (continued during the COVID‐19 pandemic or not) was set as the mediator. Results Of the 199 study participants, 108 had a habit of attending regular dental visits. Of these, 31 (28.7%) discontinued regular dental visits during the COVID‐19 pandemic. Compared to the individuals who continued regular dental visits, those who discontinued regular dental visits had a higher prevalence of periodontitis (49.4% vs 77.4%, p < 0.05) and concerns regarding dental visits (22.1% vs 64.5%, p < 0.05). Discontinuing regular dental visits significantly mediated the association between concerns regarding dental visits and periodontitis (natural indirect effect: odds ratio = 1.68, 95% confidence interval = 1.02–2.79, proportion mediated = 64.3%). Conclusion The study results showed that individuals who discontinued regular dental visits during the COVID‐19 pandemic due to concerns regarding dental visits had relatively poor periodontal health.