Miracle-dz/UniFAR-FTUs huggingface dataset:
Sleep and the gut microbiota in preschool aged children.

Sleep plays a significant role in the mental and physical development of children. Emerging evidence in animals and human adults indicates a relationship between sleep and the gut microbiota; however, it is unclear whether the sleep of preschoolers during a key developmental period, associates with features of their gut microbiota. The objective of this study was to assess the relationship between sleep and gut microbiota in preschool aged children (4.37 ±0.48 years, n=143). Sleep measures included total nighttime sleep (TST), sleep efficiency (SE), and wake-time after sleep onset (WASO) assessed using actigraphy. Beta-diversity differences between children with low and high TST (p =0.048) suggest gut microbiota community differences. Particularly, relative abundance of Bifidobacterium was higher in the high TST group and Bacteroides, was higher in children who had higher SE and low WASO (LDA score >2). In contrast, some Lachnospiraceae members including Blautia and Coprococcus 1 were associated with shorter nighttime sleep duration and less efficiency, respectively. We also found a group of faecal metabolites, including specific neuroactive compounds and immunomodulating metabolites were associated with greater sleep efficiency and less time awake at night. Notably, tryptophan and its metabolizing products were higher in children who had higher SE or lower WASO (LDA score >2); concentration of propionate was higher in children with lower WASO (p =0.036). Overall, our results reveal a novel association between sleep and gut microbiota in preschool aged children. Longer nighttime sleep and greater sleep efficiency were associated with specific commensal bacteria that may regulate sleep through modulating neurotransmitter metabolism and the immune system.
Infection with Tomato Mosaic Virus Reduces Lycopene Accumulation in Tomato Fruits

Despite Lycopene content in tomato germplasm (both local and exotic) was evaluated against isolates of tomato mosaic virus (ToMV), using a locally preferred hybrid i.e., Rio Grande as a control. Promising lines with resistance to ToMV were assessed by total carotenoid and lycopene content in virus-challenged tomato genotypes using spectrophotometry and RP-HPLC. Our data showed that virus infection significantly lessens the total carotenoid and lycopene content in tomato fruit. Lycopene content was significantly reduced in infected tomato compared to healthy, in locally cultivated hybrid Rio Grande. The germplasm GT-47 (CLN-2123-E) showed 60% decrease in lycopene content in infected tomato when in comparison to healthy produce. The virus infection, however, exhibited less deleterious effect on DPPH-based anti-oxidant potential of the ToMV infected tomato genotypes.
NATURAL LANGUAGE PROCESSING METHODS FOR CONCEPT MAP MINING: THE CASE FOR ENGLISH, KAZAKH AND RUSSIAN TEXTS

Concept maps are used for knowledge visualization via representing an input text or domain at the conceptual level. Concept maps reﬂect the systemic relations between key concepts of a text/ domain and thereby contribute to a deeper understanding of text/domain ideas, save time spent on reading and analysis. However, the process of concept maps construction is laborious and time consuming. Currently, there is a lot of research on the idea of automatic generation concept map from natural language texts. The problem has a high practical value, but in theoretical terms, methods for its solution are mainly language-dependent. Such methods require high-quality annotated linguistic resources, which is a serious problem for low-resource languages like Kazakh. In this work, we analyze the issues related to language-dependent approaches and present our experimental work on automatic generating concept maps from English, Kazakh and Russian texts. We use a well-known language-dependent method called ReVerb which was originally developed for English, and on the example of this method we explore the issues that we have encountered in the case of Kazakh and Russian languages.
Life before and after COVID-19: The ‘New Normal’ Benefits the Regularity of Daily Sleep and Eating Routines among College Students

After the COVID-19 lockdown, a ‘new normal’ was established, involving a hybrid lifestyle that combined face-to-face with virtual activity. We investigated, in a case-control study, the impact of the ‘new normal’ on daily sleep and eating routines, compared with pre-pandemic conditions. To do this, we propose using social and eating jet lag as markers of the regularity in daily routines. Additionally, we studied whether the ‘new normal’ had an impact on the body mass index (BMI), diet quality, and other health-related variables. This study included 71 subjects in the pre-pandemic group, and 68 in the ‘new normal’ group (20–30 years). For all participants, we evaluated social and eating jet lag, BMI, diet and sleep quality, eating behaviors, physical activity, and well-being. General linear models were used to compare outcome variables between pre-pandemic and ‘new normal’ groups. The results revealed that the ‘new normal’ was associated with greater regularity in daily sleep and eating routines (−0.7 h of social jet lag (95% CI: −1.0, −0.4), and −0.3 h of eating jet lag (95% CI: −0.5, −0.1)), longer sleep duration on weekdays (1.8 h (95% CI: 1.5, 2.2)), and lower sleep debt (−1.3 h (95% CI: −1.7, −0.9)). Regarding BMI and other health-related variables, we observed that these variables were similar between ‘new normal’ and pre-pandemic groups. These findings indicate that the ‘new normal’ had a positive impact on daily sleep and eating routines. Additionally, our results indicated that the ‘new normal’ offered college students a more sustainable lifestyle, which was associated with more hours of sleep during the week and lower sleep debt. This, in the long run, could have a positive impact on BMI and overall health.
Molecular modelling and structure-activity relationship of a natural derivative of o-hydroxybenzoate as a potent inhibitor of dual NSP3 and NSP12 of SARS-CoV-2: in silico study

Abstract The nsp3 macrodomain and nsp12 (RdRp) enzymes are strongly implicated in the virulent regulation of the host immune response and viral replication of SARS-CoV-2, making them plausible therapeutic targets for mitigating infectivity. Remdesivir remains the only FDA-approved small-molecule inhibitor of the nsp12 in clinical conditions while none has been approved yet for the nsp3 macrodomain. In this study, 69,067 natural compounds from the IBScreen database were screened for efficacious potentials with mechanistic multitarget-directed inhibitory pharmacology against the dual targets using in silico approaches. Standard and extra precision (SP and XP) Maestro glide docking analyses were employed to evaluate their inhibitory interactions against the enzymes. Four compounds, STOCK1N-45901, 03804, 83408, 08377 consistently showed high XP scores against the respective targets and interacted strongly with pharmacologically essential amino acid and RNA residues, in better terms than the standard, co-crystallized inhibitors, GS-441524 and remdesivir. Further assessments through the predictions of ADMET and mutagenicity distinguished STOCK1N-45901, a natural derivative of o-hydroxybenzoate as the most promising candidate. The ligand maintained a good conformational and thermodynamic stability in complex with the enzymes throughout the trajectories of 100 ns molecular dynamics, indicated by RMSD, RMSF and radius of gyration plots. Its binding free energy, MM-GBSA was recorded as –54.24 and –31.77 kcal/mol against the respective enzyme, while its structure-activity relationships confer high probabilities as active antiviral, anti-inflammatory, antiinfection, antitussive and peroxidase inhibitor. The IBScreen database natural product, STOCK1N-45901 (2,3,4,5,6-pentahydroxyhexyl o-hydroxybenzoate) is thus recommended as a potent inhibitor of dual nsp3 and nsp12 of SARS-CoV-2 for further study. Communicated by Ramaswamy H. Sarma
Wnt activation promotes memory T cell polyfunctionality via epigenetic regulator PRMT1

T cell polyfunctionality is a hallmark of protective immunity against pathogens and cancer, yet the molecular mechanism governing it remains mostly elusive. We found that canonical Wnt agonists inhibited human memory CD8+ T cell differentiation while simultaneously promoting the generation of highly polyfunctional cells. Downstream effects of Wnt activation persisted after removal of the drug, and T cells remained polyfunctional following subsequent cell division, indicating the effect is epigenetically regulated. Wnt activation induced a gene expression pattern that is enriched with stem cell–specific gene signatures and upregulation of protein arginine methyltransferase 1 (PRMT1), a known epigenetic regulator. PRMT1+CD8+ T cells are associated with enhanced polyfunctionality, especially the ability to produce IL-2. In contrast, inhibition of PRMT1 ameliorated the effects of Wnt on polyfunctionality. Chromatin immunoprecipitation revealed that H4R3me2a, a permissive transcription marker mediated by PRMT1, increased at the IL-2 promoter loci following Wnt activation. In vivo, Wnt-treated T cells exhibited superior polyfunctionality and persistence. When applied to cytomegalovirus (CMV) donor–seropositive, recipient-seronegative patients (D+/R–) lung transplant patient samples, Wnt activation enhanced CMV-specific T cell polyfunctionality, which is important in controlling CMV diseases. These findings reveal a molecular mechanism governing T cell polyfunctionality and identify PRMT1 as a potential target for T cell immunotherapy.
Thermal Stability of Potassium-Promoted Cobalt Molybdenum Nitride Catalysts for Ammonia Synthesis

The application of cobalt molybdenum nitrides as ammonia synthesis catalysts requires further development of the optimal promoter system, which enhances not only the activity but also the stability of the catalysts. To do so, elucidating the influence of the addition of alkali metals on the structural properties of the catalysts is essential. In this study, potassium-promoted cobalt molybdenum nitrides were synthesized by impregnation of the precursor CoMoO4·3/4H2O with aqueous KNO3 solution followed by ammonolysis. The catalysts were characterized with the use of XRD and BET methods, under two conditions: as obtained and after the thermal stability test. The catalytic activity in the synthesis of ammonia was examined at 450 °C, under 10 MPa. The thermal stability test was carried out by heating at 650 °C in the same apparatus. As a result of ammonolysis, mixtures of two phases: Co3Mo3N and Co2Mo3N were obtained. The phase concentrations were affected by potassium admixture. The catalytical activity increased for the most active catalyst by approximately 50% compared to non-promoted cobalt molybdenum nitrides. The thermal stability test resulted in a loss of activity, on average, of 30%. Deactivation was caused by the collapse of the porous structure, which is attributed to the conversion of the Co2Mo3N phase to the Co3Mo3N phase.
FOLFIRINOX versus gemcitabine plus nab-paclitaxel as the first-line chemotherapy in metastatic pancreatic cancer

Abstract Pancreas cancer (PCa) is one of the mortal cancer types with ranking as fourth leading cancer death in both sexes together. FOLFIRINOX (FFX) and Gemcitabine plus nab-paclitaxel (GNP) are approved as first-line metastatic treatment in PCa. The aim of this study was to compare the clinical outcomes, treated with FFX and GNP as first-line metastatic PCa. Medical records of patients diagnosed with metastatic PCa, from January 2010 to December 2020 were analyzed. This study was a retrospective cohort, multi-institution analysis. The focus of the present study was to compare the efficiency of FFX and GNP chemotherapy combinations in the first-line treatment of PCa. Efficacy had been measured by progression-free survival (PFS) and overall survival (OS). 182 patients diagnosed with PCa receiving metastatic first-line treatment were retrospectively analyzed. Patients were divided into two groups one hundred and three (56.6%) patients treated with FFX and seventy-nine (43.4%) patients treated with GNP. Patients in the FFX group were younger and had a better ECOG performance status. Overall response rate (ORR) was 69.9% in FFX and 37.9% in GNP group (p: 0.000). Disease control rate (DCR) was 73.7% in patients treated with FFX and 39.2% in GNP group (p: 0.000). The median PFS was 8.3 months (FFX 9.1 vs. GNP 6.7, HR = 0.25, 95% CI: 0.16-0.38) the median OS was 12.2 months (FFX 14.1 vs. GNP 9.6, HR = 0.48, 95% CI: 0.31-0.72). Guidelines recommend both FFX and GNP regimens as a first-line treatment of metastatic PCa. In clinical routine, it is still unclear which regiment is more effective. The present study showed increased survival parameters with FFX versus GNP with similar toxicity profiles.
The Role of Diet in Prognosis among Cancer Survivors: A Systematic Review and Meta-Analysis of Dietary Patterns and Diet Interventions

Cancer survival continues to improve in high-income countries, partly explained by advances in screening and treatment. Previous studies have mainly examined the relationship between individual dietary components and cancer prognosis in tumours with good therapeutic response (breast, colon and prostate cancers). The aim of this review is to assess qualitatively (and quantitatively where appropriate) the associations of dietary patterns and cancer prognosis from published prospective cohort studies, as well as the effect of diet interventions by means of randomised controlled trials (RCT). A systematic search was conducted in PubMed, and a total of 35 prospective cohort studies and 14 RCT published between 2011 and 2021 were selected. Better overall diet quality was associated with improved survival among breast and colorectal cancer survivors; adherence to the Mediterranean diet was associated to lower risk of mortality in colorectal and prostate cancer survivors. A meta-analysis using a random-effects model showed that higher versus lower diet quality was associated with a 23% reduction in overall mortality in breast cancer survivors. There was evidence that dietary interventions, generally combined with physical activity, improved overall quality of life, though most studies were in breast cancer survivors. Further cohort and intervention studies in other cancers are needed to make more specific recommendations.
Modeling the coevolution of international and domestic institutions

While much previous research has examined the relationship between interstate military alliances and the structure of domestic regimes, existing findings point in contradictory directions. Some have argued that democracies attract each other as alliance partners, and thereby generate international peace as a consequence of their domestic regime type, while others have argued that the causal relationship is reversed, and that international pacification creates the necessary space for international alliances and domestic democratization. To disentangle this difficult empirical relationship, this article presents an empirically grounded simulation model of the dynamic coevolution of interstate military alliances, international conflict, and domestic democratization, demonstrating a statistical approach which accounts both for the complex interdependencies generated by coevolving multiplex networks of interstate ties and for their reciprocal influence on the coevolution of domestic political regimes, over the period 1920–2000. The results show that international institutions and domestic institutions are mutually constituted, with both ‘selection’ effects and ‘influence’ effects operating simultaneously. In particular, the evidence indicates that states with similar regimes are more prone to ally with each other, mutually democratic dyads are less inclined to engage in militarized disputes, and states that form international alliances with democratic partners are more likely to develop domestic democratic institutions. Tests of out-of-sample predictive accuracy, across multidecade prediction windows, further demonstrate that the coevolutionary model consistently outperforms specifications that ignore coevolutionary effects, in predicting subsequent patterns of military alliances, military conflict, and domestic democratization.
Pleasure Through Pain: An Empirical Examination of Benign Masochism in Tourism

Paradoxical at first sight, some tourists engage in activities involving negative emotions and even physical pain. Tourism scholars have begun investigating this phenomenon and have called for more of such research. Against this background, the authors introduce to tourism the notion of benign masochism, defining it as a trait describing a person’s tendency to embrace and seek pleasure through safely playing with a stimulating level of physical pain and negative emotions. In doing so, the authors root benign masochism in the notion of play from evolutionary psychology and develop a benign masochism scale that is able to predict various tourism outcomes, including willingness to visit a haunted house, to go on a challenging adventure holiday, and to visit a nuclear disaster site. The authors conclude by discussing theoretical and managerial implications as well as limitations and future opportunities for research.
Thermodynamic Modeling of Solvent-Assisted Lipid Bilayer Formation Process

The solvent-assisted lipid bilayer (SALB) formation method provides a simple and efficient, microfluidic-based strategy to fabricate supported lipid bilayers (SLBs) with rich compositional diversity on a wide range of solid supports. While various studies have been performed to characterize SLBs formed using the SALB method, relatively limited work has been carried out to understand the underlying mechanisms of SALB formation under various experimental conditions. Through thermodynamic modeling, we studied the experimental parameters that affect the SALB formation process, including substrate surface properties, initial lipid concentration, and temperature. It was found that all the parameters are critically important to successfully form high-quality SLBs. The model also helps to identify the range of parameter space within which conformal, homogeneous SLBs can be fabricated, and provides mechanistic guidance to optimize experimental conditions for lipid membrane-related applications.
A Descriptive Study of Under-five Mortality

Introduction: The under-five mortality is a global problem, which is an important indicator to, demonstrate the quality of health services in a region or a country. The under-5 mortality rate is the probability of dying before five years of age (per 1,000 live births). In the 1990s under-five mortality rate was 12,7 million, but it decreased to 6,2 million in 2015. In Afghanistan due, to more than forty years of war and internal conflict, low socio-economic status, and high level of illiteracy, the under-five mortality rate is very high. Objective: This study aimed to determine the mortality rate and it’s causes in children under the age of five in Nangarhar Province. Methods: This is a descriptive study conducted from 2018-2019 in Nangarhar University Teaching Hospital (NUTH). According to Health Management Information System (HMIS) data reports in the mentioned period, 9164 under five patients were admitted in the different wards of Nangarhar University Teaching Hospital. Results: The mortality of 824 patients were recorded (824/9164) due to different causes, which contribute 9% of total mortality. Of the 824 deaths, 371 consisted of neonatal deaths, which make 45% of total mortality, the 55% (453/824) deaths have occurred between the age of 28 days and five years. The principal causes of neonatal deaths were 35 percent prematurity, 27 percent birth asphyxia, 24 percent sepsis, 8 percent malformation, and 6 percent was consisting of other diseases such as neonatal jaundice, neonatal tetanus, neonatal diarrhea, birth trauma, etc. In this, study the causes of death occurred in the age of 28 days to five years were 30 percent due to malnutrition, 22 percent pneumonia, 20 percent Diarrhea, 10 percent Measles, 6 percent Malaria, 8 percent Meningo-encephalitis and 4 percent due to other diseases like pertussis, poisoning, trauma, burns, pediatric cardiac disease, neoplastic disease, and others. Conclusion: The data of our study has taken from the Health Management Information System (HMIS) department of the 2018-2019 years which was collected from different wards of Nangarhar University Teaching Hospital. The rate of under-five mortality was about 8.99 ~ 9%. The result of our study was different from other countries and the mortality rate may be changed from time to time. These changes belong to several factors such as variable definition, promotion of socio-economic status, risk factors, geographical situation, peoples’ education level, availability of health services, and preventive measures.
Inter-annotator Agreement Using the Conversation Analysis Modelling Schema, for Dialogue

ABSTRACT We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that combines the Conversation Analysis concept of Adjacency Pairs, with Dialogue Acts. The aim is to capture both the semantic and syntactic structure of dialogue, in a format that is independent of the domain or topic, and which facilitates the computational modeling of dialogue. A labeling task undertaken by novice annotators is used to evaluate its efficacy on a selection of task-oriented and non-task-oriented dialogs, and to measure inter-annotator agreement. To deepen the “human-factors” analysis we also record and examine users’ self-reported confidence scores and average utterance annotation times. Inter-annotator agreement is shown to be higher for task-oriented dialogs than non-task-oriented, though the structure of the dialogue itself has a more significant impact. We further examine the assumptions around expected agreement for two weighted agreement coefficients, Alpha and Beta, and show that annotators assign labels using similar probability distributions, small variations can result in large differences in agreement values between biased and unbiased measures.
Ethnobotany of medicinal plants in the dayak limbai tribe

The use of medicinal plants by the Dayak Limbai tribe has been going on for a long time, it's just that knowledge related to the use of plants as medicinal ingredients has not been well documented. The aims of this study are 1) to identify plant species that have the potential as medicinal ingredients; 2) describe the part of the medicinal plant used; 3) describe how to use plants as medicine by the Dayak Limbai people. This research was conducted with a qualitative descriptive approach. The data collected consisted of the diversity of medicinal plants (local names of medicinal plants, scientific names of medicinal plants, medicinal plant families, parts used, and their utilization). Data collection using structured interview sheets. Data analysis using content analysis. The results obtained as many as 82 types of plants used to treat 64 types of diseases. The most widely used plant species by the Dayak Limbai people are from the Zingiberaceae family.