Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study

Background The COVID-19 global pandemic has increased the burden of mental illness on Canadian adults. However, the complex combination of demographic, economic, and lifestyle factors and perceived health risks contributing to patterns of anxiety and depression has not been explored. Objective The aim of this study is to harness flexible machine learning methods to identify constellations of factors related to symptoms of mental illness and to understand their changes over time during the COVID-19 pandemic. Methods Cross-sectional samples of Canadian adults (aged ≥18 years) completed web-based surveys in 6 waves from May to December 2020 (N=6021), and quota sampling strategies were used to match the English-speaking Canadian population in age, gender, and region. The surveys measured anxiety and depression symptoms, sociodemographic characteristics, substance use, and perceived COVID-19 risks and worries. First, principal component analysis was used to condense highly comorbid anxiety and depression symptoms into a single data-driven measure of emotional distress. Second, eXtreme Gradient Boosting (XGBoost), a machine learning algorithm that can model nonlinear and interactive relationships, was used to regress this measure on all included explanatory variables. Variable importance and effects across time were explored using SHapley Additive exPlanations (SHAP). Results Principal component analysis of responses to 9 anxiety and depression questions on an ordinal scale revealed a primary latent factor, termed “emotional distress,” that explained 76% of the variation in all 9 measures. Our XGBoost model explained a substantial proportion of variance in emotional distress (r2=0.39). The 3 most important items predicting elevated emotional distress were increased worries about finances (SHAP=0.17), worries about getting COVID-19 (SHAP=0.17), and younger age (SHAP=0.13). Hopefulness was associated with emotional distress and moderated the impacts of several other factors. Predicted emotional distress exhibited a nonlinear pattern over time, with the highest predicted symptoms in May and November and the lowest in June. Conclusions Our results highlight factors that may exacerbate emotional distress during the current pandemic and possible future pandemics, including a role of hopefulness in moderating distressing effects of other factors. The pandemic disproportionately affected emotional distress among younger adults and those economically impacted.
Early childhood undernutrition, preadolescent physical growth, and cognitive achievement in India: A population-based cohort study

Background There is a lack of nationally representative estimates for the consequences of early childhood undernutrition on preadolescent outcomes in India. Understanding this relationship is helpful to develop interventions that not only prevent child undernutrition but also mitigate its consequences. Methods and findings In this cohort study, we analyzed prospectively gathered data from 2 waves of the India Human Development Survey (IHDS) to investigate the association of undernutrition during early childhood (0 to 5 years) in 2004 to 2005 with physical and cognitive outcomes during preadolescent (8 to 11 years) years in 2011 to 2012. These surveys interviewed 41,554 households across all 33 states and union territories in India in 2004 to 2005 and reinterviewed 83% of the households in 2011 to 2012. Primary exposure was assessed using the Composite Index of Anthropometric Failure (CIAF) based on 2004 to 2005 survey. Primary outcomes were short stature (height-for-age z-score [HAZ] <−2), thinness (body mass index [BMI] <18.5 kg/m2), reading, and arithmetic skills during preadolescence based on the 2011 to 2012 survey. Survey-weighted generalized linear models were used, and effect modification based on child sex and sociodemographic variables were evaluated using 3-way interaction terms. Of the 7,868 children included in this analysis, 4,334 (57.3%) were undernourished. Being undernourished was associated with increased odds of short stature (odds ratio [OR] 1.73, 95% confidence interval [CI] 1.45 to 2.06) and thinness (OR 1.52, 95% CI 1.33 to 1.73) during the preadolescent period, while it was associated with decreased odds of achieving a higher reading (cumulative odds ratio [cumOR]: 0.76, 0.66 to 0.87) and arithmetic (cumOR: 0.72, 0.63 to 0.82) outcomes. The disparity in outcomes based on CIAF increased with age, especially for female children. Increased level of female education within the household reduced the disadvantages of undernutrition among female children. Study limitations include observational and missing data, which limit our ability to draw strong causal inferences. Conclusions In this study, we found that early child undernutrition was associated with several adverse preadolescent physical and cognitive outcomes, especially among female children. Improved female education mitigates this association. Female education promotion should assume a central role in Indian public health policy making.
Self-reported subjective cognitive decline is associated with global cognition in a community sample of Latinos/as/x living in the United States

ABSTRACT Introduction Although subjective cognitive decline (SCD) may be an early risk marker of Alzheimer’s Disease (AD), research on SCD among Hispanics/Latinos/as/x (henceforth Latinos/as) living in the U.S. is lacking. We investigated if the cross-sectional relationship of self-reported SCD with objective cognition varies as a function of ethnic background (Latinos/as versus Non-Hispanic Whites [NHWs]). Secondary analyses conducted solely within the Latino/a group investigated if informant reported SCD is associated with objective cognition and whether self-reported SCD is related to markers of brain health in a sub-sample of Latinos/as with available MRI data. Methods Eighty-three participants (≥60 years of age) without dementia (35 Latinos/as; 48 NHWs) completed the Mattis Dementia Rating Scale (MDRS) and the Subjective Cognitive Decline-Questionnaire (SCD-Q). Additionally, 22 Latino/a informants completed the informant-version of the SCD-Q. Hierarchical regression models investigated if ethnicity moderates the association of MDRS and SCD-Q scores after adjusting for demographics and depressive symptoms. Correlational analyses within the Latino/a group investigated self- and informant-reported associations of SCD-Q scores with objective cognition, and associations of self-reported SCD-Q scores with medial temporal lobe volume and thickness. Results Latinos/as had lower education and MDRS scores than NHWs. Higher SCD-Q scores were associated with lower MDRS scores only in Latinos/as. Within the Latino/a group, self, but not informant reported SCD was related to objective cognition. Medium to large effect sizes were found whereby higher self-reported SCD was associated with lower entorhinal cortex thickness and left hippocampal volume in Latinos/as. Conclusions The association of SCD and concurrent objectively measured global cognition varied by ethnic background and was only significant in Latinos/as. Self-reported SCD may be an indicator of cognitive and brain health in Latinos/as without dementia, prompting clinicians to monitor cognition. Future studies should explore if SCD predicts objective cognitive decline in diverse groups of Latinos/as living in the U.S.
Gamma-rays and EMS induced resistance to mungbean yellow mosaic India virus in mungbean [Vigna radiata (L.) R. Wilczek] and its validation using linked molecular markers

Abstract Purpose Mungbean yellow mosaic India virus (MYMIV) is a serious constraint in the mungbean which is a potential source of easily digestible high-quality proteins, fibers, minerals, and vitamins in Asian countries. Developing resistant cultivars is the most cost-effective, eco-friendly, and sustainable approach to protect mungbean from MYMIV damage. Mutation breeding provides a quick and cost-effective way of developing resistance as lack of genetic variability is the biggest bottleneck for other traditional breeding tools. Materials and methods Outstanding but MYMIV-sensitive varieties of mungbean, viz., MH 2-15 and MH 318 were mutagenized through various individual and combined doses of gamma-rays and Ethyl methanesulfonate (EMS) and evaluated in M2 and M3 generations for the appearance of resistance reactions. This was subsequently validated through marker-assisted genotyping using previously reported Yellow Mosaic Disease (YMD) linked markers. Results The phenotyping in M3 generation yielded 64 MYMIV resistant mutants whereas, marker-assisted genotyping identified the 22 mutants with true resistance. Markers YR4, CYR1, and CEDG180 were found associated with MYMIV resistance whereas, DMB-SSR158 did not show any amplification. Among identified resistant mutants, ten lines exhibited at par and two revealed a little higher seed yield over controls. Conclusions The mutagenesis created significant variability in MYMIV resistance as well as seed yield per plant. YR4, CYR1, and CEDG180 are found to be linked with the MYMIV loci in the mungbean and could be utilized for MYMIV resistance breeding. Mutant M-37 from MH 2-15 and M-104 from MH 318 exhibited more seed yield along with MYMIV resistance which upon further validation can be released as a variety. The induced mutagenesis integrated with powerful emerging molecular and next-generation sequencing (NGS) tools would be highly helpful in breeding mungbean for durable resistance against threatening MYMIV.
Effects of marijuana on reproductive health: preconception and gestational effects

Purpose of review Recent widespread legalization changes have promoted the availability of marijuana and its increased potency and perceived safety. The limited evidence on reproductive and perinatal outcomes from marijuana exposure is enough to warrant concern and action. The objective of this review is to provide a current and relevant summary of the recent literature surrounding this topic. Recent findings The available published studies on the effect of marijuana exposure on reproductive health and pregnancy outcomes are conflicting. Human studies are often observational or retrospective and confounded by self-report and polysubstance use. However, the current, limited evidence suggests that marijuana use adversely affects male and female reproductive health. Additionally, prenatal marijuana exposure has been reported to be associated with an increased risk of preterm birth and small for gestational age infants. Summary With the increasing prevalence of marijuana use, there is an urgent need for evidence-driven recommendations and guidelines for couples interested in conception, affected by infertility or who are expecting. At this time, no amount of marijuana use during conception or pregnancy is known to be well tolerated and the limited available evidence suggests that the safest choice is to abstain.
Prevalence of diabetic retinopahty in India: Results from the National Survey 2015-19

Purpose: Diabetes mellitus (DM) and diabetic retinopathy (DR) contribute to ocular morbidity and are emerging as diseases with significant public health impact. Our aim was to assess the countrywide prevalence of DR and sight-threatening DR (STDR) among persons with diabetes and to evaluate the coverage of DR examinations among them. Methods: The present survey was planned to estimate the burden of DR in the population aged ≥50 years for assisting in the planning and prioritization of diabetic eye services. For this survey, 21 districts with a high prevalence of DM were selected among the 31 districts where the national blindness and visual impairment survey was conducted. The total sample size was 63,000 people aged 50 years and above. DR was assessed by dilated fundus examination with indirect ophthalmoscope and was graded according to Scottish DR grading. STDR included severe nonproliferative DR, proliferative DR, and clinically significant macular edema. Results: The prevalence of diabetes in the surveyed population was 11.8%. Among them, one-third were newly diagnosed DM, that is, diagnosed at the time of the survey. The study revealed that the prevalence of DR among persons with diabetes was 16.9%, the prevalence of STDR was 3.6%, and the prevalence of mild retinopathy was 11.8%. Risk factors for DR in the current study were duration of diabetes (>10 years, OR 4.8, 95% CI: 3.3–6.9), poor glycemic control (≥200 mg/dL, OR: 1.5, 95% CI: 1.2–1.7) and insulin treatment (OR: 2.6, 95% CI: 1.7–4.1). Conclusion: The current study highlights the substantial burden of DM and DR in India and the critical need to adopt a coordinated and multisectoral approach to reduce their prevalence. There is a need for early identification of persons with diabetes and their routine screening for DR along with availability of treatment facilities.
Ticagrelor versus Clopidogrel in CYP2C19 Loss-of-Function Carriers with Stroke or TIA.

BACKGROUND Comparisons between ticagrelor and clopidogrel for the secondary prevention of stroke in CYP2C19 loss-of-function carriers have not been extensively performed. METHODS We conducted a randomized, double-blind, placebo-controlled trial at 202 centers in China involving patients with a minor ischemic stroke or transient ischemic attack (TIA) who carried CYP2C19 loss-of-function alleles. Patients were assigned within 24 hours after symptom onset, in a 1:1 ratio, to receive ticagrelor (180 mg on day 1 followed by 90 mg twice daily on days 2 through 90) and placebo clopidogrel or to receive clopidogrel (300 mg on day 1 followed by 75 mg once daily on days 2 through 90) and placebo ticagrelor; both groups received aspirin for 21 days. The primary efficacy outcome was new stroke, and the primary safety outcome was severe or moderate bleeding, both within 90 days. RESULTS A total of 11,255 patients were screened and 6412 patients were enrolled, with 3205 assigned to the ticagrelor group and 3207 to the clopidogrel group. The median age of the patients was 64.8 years, and 33.8% were women; 98.0% belonged to the Han Chinese ethnic group. Stroke occurred within 90 days in 191 patients (6.0%) in the ticagrelor group and 243 patients (7.6%) in the clopidogrel group (hazard ratio, 0.77; 95% confidence interval, 0.64 to 0.94; P = 0.008). Secondary outcomes were generally in the same direction as the primary outcome. Severe or moderate bleeding occurred in 9 patients (0.3%) in the ticagrelor group and in 11 patients (0.3%) in the clopidogrel group; any bleeding occurred in 170 patients (5.3%) and 80 patients (2.5%), respectively. CONCLUSIONS Among Chinese patients with minor ischemic stroke or TIA who were carriers of CYP2C19 loss-of-function alleles, the risk of stroke at 90 days was modestly lower with ticagrelor than with clopidogrel. The risk of severe or moderate bleeding did not differ between the two treatment groups, but ticagrelor was associated with more total bleeding events than clopidogrel. (Funded by the Ministry of Science and Technology of the People's Republic of China and others; CHANCE-2 ClinicalTrials.gov number, NCT04078737.).
Challenges and opportunities for the production of lactic acid bacteria inoculants aimed for ensiling processes

Abstract The use of bacterial inoculants for ensiling based on lactic acid bacteria (LAB) to obtain conserved forages has become an alternative for the improvement of milk and meat productivity in cattle, specifically by optimizing the nutritional and microbial quality of animal feed. LAB inoculant production involves microbial and technological aspects such as biomass obtention, the use of cocultures, the inclusion of probiotics, the production of antimicrobial peptides, operational methods used in bioreactors, and the formulation of the end product to be commercialized to farmers. This review explores the technical aspects of the manufacture of bacterial inoculants, from the main features desired in LAB for ensiling purposes to the alternatives of the bioprocess involved.
The impact of anthropogenic nitrogen deposition on global forests: Negative impacts far exceed the carbon benefits

Humans have drastically altered the nitrogen (N) cycle during the past century, enriching ecosystems from the tropics to the tundra with unprecedented inputs of novel N. This N is known to have many negative impacts, such as contributing to acidification, eutrophication, and biodiversity loss. Reactive nitrogen emissions can also contribute to global warming because the N2 O fraction has a global warming impact ca. 300 times greater than CO2 per molecule. In addition to these negative impacts, atmospheric N deposition may stimulate a globally significant quantity of C sequestration, thereby mitigating climate change. The study by Schulte-Uebbing et al. quantified the impact of atmospheric N deposition on C uptake by forests globally, and weighed this climate benefit against the global warming impact of N2 O emissions. A major conclusion was that the C benefits of atmospheric deposition in global forests is smaller than previously estimated (only 41 Tg C yr-1 ), accounting for only 2% of the net annual forest C uptake. The study concluded that the warming effect of N2 O emissions far exceeded the cooling effects of C uptake. Future research will need to quantify similar tradeoffs in non-forested environments, as well as further reduce uncertainty in upscaling estimates to the global forest area.
First evidence of human‐to‐dog transmission of SARS‐CoV‐2 B.1.160 variant in France

Abstract Since the start of the coronavirus disease of 2019 (COVID‐19) pandemic, several episodes of human‐to‐animal severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) transmission have been described in different countries. The role of pets, especially domestic dogs, in the COVID‐19 epidemiology is highly questionable and needs further investigation. In this study, we report a case of COVID‐19 in a French dog living in close contact with its owners who were COVID‐19 patients. The dog presented rhinitis and was sampled 1 week after its owners (a man and a woman) were tested positive for COVID‐19. The nasal swabs for the dog tested remained positive for SARS‐CoV‐2 by reverse transcription quantitative real‐time PCR (RT‐qPCR) 1 month following the first diagnosis. Specific anti‐SARS‐CoV‐2 antibodies were detectable 12 days after the first diagnosis and persisted for at least 5 months as tested using enzyme‐linked immunoassay (ELISA) and automated western blotting. The whole‐genome sequences from the dog and its owners were 99%–100% identical (with the man and the woman's sequences, respectively) and matched the B.1. 160 variant of concern (Marseille‐4 variant), the most widespread in France at the time the dog was infected. This study documents the first detection of B.1. 160 in pets (a dog) in France, and the first canine genome recovery of the B.1. 160 variant of global concern. Moreover, given the enhanced infectivity and transmissibility of the Marseille‐4 variant for humans, this case also highlights the risk that pets may potentially play a significant role in SARS‐CoV‐2 outbreaks and may transmit the infection to humans. We have evidence of human‐to‐dog transmission of the Marseille‐4 variant since the owners were first to be infected. Finally, owners and veterinarians must be vigilent for canine COVID‐19 when dogs are presented with respiratory clinical signs.
Evaluation of the GeneXpert MTB/RIF assay performance in sputum samples with various characteristics from presumed pulmonary tuberculosis patients in Shiselweni region, Eswatini

Abstract Background Tuberculosis is a global health concern and has become more complex to diagnose due to mutations in the causative agent, Mycobacterium tuberculosis. In a setting with high TB prevalence, having a rapid and accurate diagnosis may reduce the rate of infections. The study aimed to evaluate the diagnostic performance of GeneXpert MTB/RIF assay in sputum samples from suspected tuberculosis patients. Methods A total of 1 328 sputum samples were collected from patients, across 12 clinics in the Shiselweni region, Eswatini. One thousand one hundred and ten (1110; 84%) samples were simultaneously processed on GeneXpert MTB/RIF assay and MGIT culture. Results Two hundred and ninety-seven (297) samples tested GeneXpert positive and 813 GeneXpert negatives, while 310 samples tested positive and 800 tested negative on the MGIT culture method. The positive predictive value on GeneXpert MTB/RIF assay was 83% while the negative predictive value was 97.80%. At p-value = . 796, sputum quality did not affect the positivity of the GeneXpert MTB/RIF results. Sputum volume had a significant impact on the performance of the GeneXpert MTB/RIF with increased sensitivity in 4 ml and 6 ml samples. Conclusions Although detection of tuberculosis using the GeneXpert MTB/RIF assay in sputum samples is not limited to one specific characteristic, sputum volume assessment should be considered as an integral part of routine laboratory diagnosis of tuberculosis especially in high tuberculosis prevalent settings. However, the ability of the GeneXpert MTB/RIF to provide rapid TB diagnosis is not dependent on sputum quality.
Outcomes of Patients with COVID-19 from a Specialized Cancer Care Emergency Room

Abstract Purpose Our goal was to identify discrete clinical characteristics associated with safe discharge from an emergency department/urgent care for patients with a history of cancer and concurrent COVID-19 infection during the SARS-CoV-2 pandemic and prior to widespread vaccination. Patients and Methods We retrospectively analyzed 255 adult patients with a history of cancer who presented to Memorial Sloan Kettering Cancer Center (MSKCC) urgent care center (UCC) from March 1, 2020 to May 31, 2020 with concurrent COVID-19 infection. We evaluated associations between patient characteristics and 30-day mortality from initial emergency department (ED) or urgent care center (UCC) visit and the absence of a severe event within 30 days. External validation was performed on a retrospective data from 29 patients followed at Fred Hutchinson Cancer Research Center that presented to the local emergency department. A late cohort of 108 additional patients at MSKCC from June 1, 2020 to January 31, 2021 was utilized for further validation. Results In the MSKCC cohort, 30-day mortality and severe event rate was 15% and 32% respectively. Using stepwise regression analysis, elevated BUN and glucose, anemia, and tachypnea were selected as the main predictors of 30-day mortality. Conversely, normal albumin, BUN, calcium, and glucose, neutrophil–lymphocyte ratio <3, lack of (severe) hypoxia, lack of bradycardia or tachypnea, and negative imaging were selected as the main predictors of an uneventful course as defined as a Lack Of a Severe Event within Thirty Days (LOSETD). Utilizing this information, we devised a tool to predict 30-day mortality and LOSETD which achieved an area under the operating curve (AUC) of 79% and 74% respectively. Similar estimates of AUC were obtained in an external validation cohort. A late cohort at MSKCC was consistent with the prior, albeit with a lower AUC Conclusion We identified easily obtainable variables that predict 30-day mortality and the absence of a severe event for patients with a history of cancer and concurrent COVID-19. This has been translated into a bedside tool that the clinician may utilize to assist disposition of this group of patients from the emergency department or urgent care setting.
Body composition and osteoporotic fracture using anthropometric prediction equations to assess muscle and fat masses

Obesity is protective of bone health; however, abdominal obesity is associated with a higher fracture risk. Little is known about whether body composition protects or adversely affects osteoporotic fractures because of practical issues regarding assessment tools. This study aimed to evaluate the association of predicted body composition with fracture risk to determine the distinctive and differing effects of muscle or fat mass on bone health outcomes in the general population.