Miracle-dz/UniFAR-FTUs huggingface dataset:
Myocardial injury and COVID-19: Serum hs-cTnI level in risk stratification and the prediction of 30-day fatality in COVID-19 patients with no prior cardiovascular disease

Introduction: To explore the involvement of the cardiovascular system in coronavirus disease 2019 (COVID-19), we investigated whether myocardial injury occurred in COVID-19 patients and assessed the performance of serum high-sensitivity cardiac Troponin I (hs-cTnI) levels in predicting disease severity and 30-day in-hospital fatality. Methods: We included 244 COVID-19 patients, who were admitted to Renmin Hospital of Wuhan University with no preexisting cardiovascular disease or renal dysfunction. We analyzed the data including patients' clinical characteristics, cardiac biomarkers, severity of medical conditions, and 30-day in-hospital fatality. We performed multivariable Cox regressions and the receiver operating characteristic analysis to assess the association of cardiac biomarkers on admission with disease severity and prognosis. Results: In this retrospective observational study, 11% of COVID-19 patients had increased hs-cTnI levels (>40 ng/L) on admission. Of note, serum hs-cTnI levels were positively associated with the severity of medical conditions (median [interquartile range (IQR)]: 6.00 [6.00-6.00] ng/L in 91 patients with moderate conditions, 6.00 [6.00-18.00] ng/L in 107 patients with severe conditions, and 11.00 [6.00-56.75] ng/L in 46 patients with critical conditions, P for trend=0.001). Moreover, compared with those with normal cTnI levels, patients with increased hs-cTnI levels had higher in-hospital fatality (adjusted hazard ratio [95% CI]: 4.79 [1.46-15.69]). The receiver-operating characteristic curve analysis suggested that the inclusion of hs-cTnI levels into a panel of empirical prognostic factors substantially improved the prediction performance for severe or critical conditions (area under the curve (AUC): 0.71 (95% CI: 0.65-0.78) vs. 0.65 (0.58-0.72), P=0.01), as well as for 30-day fatality (AUC: 0.91 (0.85-0.96) vs. 0.77 (0.62-0.91), P=0.04). A cutoff value of 20 ng/L of hs-cTnI level led to the best prediction to 30-day fatality. Conclusions: In COVID-19 patients with no preexisting cardiovascular disease, 11% had increased hs-cTnI levels. Besides empirical prognostic factors, serum hs-cTnI levels upon admission provided independent prediction to both the severity of the medical condition and 30-day in-hospital fatality. These findings may shed important light on the clinical management of COVID-19.
How are small and medium enterprises in Malaysia’s furniture industry coping with COVID-19 pandemic? Early evidences from a survey and recommendations for policymakers

In the wake of the global COVID-19 pandemic and the subsequent movement control order (MCO) in Malaysia, an on-line survey was undertaken involving 748 small and medium enterprises (SMEs) in the furniture industry. The main objective was to examine the impact of the pandemic and the subsequent MCO on the various business aspects of the SMEs as well as to make recommendations to the government on supportive measures for the SMEs. The survey found that although all aspects of the business were impacted, the two major concerns of the SMEs during this crisis were the financial management and the supply chain disruptions. Inevitably, it was found that most of the SMEs were operating well below capacity, which was a huge financial strain on their business viability. It was recommended that the government provide measures to help the SMEs manage their cash-flow and ease the restrictions to facilitate supply-chain commencement that is crucial to their business. The survey also revealed that most SMEs acknowledged the importance of automation and the adoption of technologies. Respondents regarded the shift towards Industry 4.0 was inevitable as a means increase their resilience when facing future uncertainties.
Fibrinogen-like protein 2 aggravates nonalcoholic steatohepatitis via interaction with TLR4, eliciting inflammation in macrophages and inducing hepatic lipid metabolism disorder

Rationale: The functions of fibrinogen-like protein 2 (fgl2) have been studied in many inflammatory and neoplastic diseases, but the role of fgl2 in nonalcoholic fatty liver disease has not yet been elucidated. In this study, we sought to investigate the role of fgl2 in the pathogenesis of nonalcoholic steatohepatitis (NASH). Methods: Hepatic fgl2 expression was tested in patients with nonalcoholic fatty liver (NAFL) or NASH and controls. Wild-type and fgl2-/- C57BL/6 mice were subjected to a methionine/choline-deficient (MCD) diet or a high-fat diet (HFD) to establish NASH models. Bone marrow-derived macrophages (BMDMs) stimulated with LPS or free fatty acids were used for the in vitro study. Results: In both humans and mice with NASH, macrophage accumulation was concomitant with significantly increased fgl2 expression in the liver. Fgl2 deficiency attenuated liver steatosis and inflammation in diet-induced murine models of NASH. In both liver tissues and BMDMs from NASH mice, fgl2 deficiency resulted in reduced levels of proinflammatory cytokines and reactive oxygen species (ROS) compared with levels in wild-type controls. Activation of NF-κB, p38-MAPK and NLRP3 inflammasomes was also suppressed upon fgl2 disruption. Moreover, lipogenic genes (Fasn and SREBP-2) were downregulated while lipolytic genes (PPAR and CPT1A) were upregulated in the livers of fgl2-/- NASH mice. Primary hepatocytes incubated with the medium collected from fgl2-/- BMDMs showed less fat deposition than those incubated with WT BMDMs. Furthermore, we discovered that fgl2 combined with TLR4 mediates the activation of the Myd88-dependent signaling pathway, which may contribute to inflammation and lipid metabolism disorders. Conclusions: These data suggest that fgl2 aggravates the progression of NASH through activation of NF-κB, p38-MAPK and NLRP3 inflammasomes in macrophages, which consequently induces overproduction of proinflammatory cytokines and lipid metabolism disorders. An interaction of fgl2 and TLR4 may in part contribute to the activation of inflammatory signaling pathways in macrophages.
Preparation of Hingwadi choorna: An Ayurvedic formulation for bronchial asthma

Choorna kalpana (process of size reduction) is familiar pharmaceutical preparation in Ayurveda. Bhavita choorna has an effective size reduction process and homogenously active substance in its final product. Hingwadi choorna mentioned in Ayurvedic classics contains the ingredients like Ferula asafoetida Linn. (Hingu), Unaqua sodium chloride (Souvarchalalavana), Ziziphus jujuba Mill. (Kola), Rubia cordifolia Linn. (Samanga), Piper longum Linn. (Pippali), Sidacordifolia Linn. (Bala), Citrus medica Linn (Matulunga). In this article, Hingwadi choorna was prepared by using modern pharmaceuticals stuffs. During the method of preparation of Hingwadi choorna according to the Ayurvedic Formulary of India was followed.
Environmental Initiatives and Disclosures by Large companies: The Views of Investors

The purpose of this paper is to explore investors' perspectives on the environmental initiatives and disclosure strategies of large firms. Obtaining such viewpoints is important because, as signaling theory suggests that investors' perspectives are one of the contributory factors in determining organisational strategies for environmental initiatives and disclosures. We used a web-based questionnaire of a group of investors. We put forward a hypothetical case study that raised financial versus environmental consequences of safe waste disposal initiatives for a large company. The findings revealed that a majority (90.21 per cent) of the investors preferred a pro-environmental strategy for waste disposal when a large firm in an environmentally sensitive sector is responsible for polluting the regional water resource. Our findings concluded that investors expect a high quality of environmental disclosures from larger firms as opposed to smaller firms. This study contributes to the literature by presenting investors perspective on firms' environmental decisions using a hypothetical case study.
Comparison of Syphilis Rapid Diagnostic Test to Rapid Plasma Reagin, Treponema pallidum Haemagglutination Assay and Fluorescent Treponemal Antibody-Absorption for Syphilis and Yaws Diagnostics

BACKGROUND: Syphilis and yaws are the treponemal infections which have become serious public health problems, and both are serologically indistinguishable. Developed serological tests for syphilis may also be used to diagnose yaws. In remote area, test modality with minimal requirements were needed. This study investigated the diagnostic value of syphilis rapid diagnostic test (RDT) in diagnosing syphilis and yaws. METHODS: For syphilis diagnostic test, serum samples were obtained from patients of outpatient clinic in Dr. Cipto Mangunkusumo National Central General Hospital who were sent for rapid plasma reagin (RPR) and Treponema pallidum haemagglutination assay (TPHA) to clinical laboratory of the hospital. The serum samples were collected and stored at -80 ° C until the day of testing for syphilis RDT and fluorescent treponemal antibody-absorption (FTA-Abs). For yaws diagnostic test, serum samples were obtained as a part of surveillance study of yaws among children 1-15 years old in West Halmahera. Venous blood samples were used for syphilis RDT and the sera were separated and were sent to Dr. Cipto Mangunkusumo National Central General Hospital for RPR, TPHA, and FTA-Abs tests. RESULTS: For syphilis diagnostic test, among 156 samples, 39 samples were positive with syphilis RDT. The sensitivity of syphilis RDT was similar to RPR and TPHA (100.0%), the specificity was same as TPHA (77.5%), but lower than RPR (84.8%) when compared to FTA-Abs IgM. The sensitivity of syphilis RDT was 62.5% and the specificity was 96.0% when compare to FTA-Abs IgG. For yaws diagnostic test, among 176 samples, 13 samples were positive with syphilis RDT. By using FTA-Abs IgM as gold standard for diagnosing yaws, the RDT have similar sensitivity (50.0%) with RPR and TPHA and syphilis RDT have similar specificity to TPHA (93.1%). If compared to FTA-Abs IgG, the sensitivity of syphilis RDT was 40.0% and the specificity was 98.0%. CONCLUSION: Syphilis RDT gives similar results with TPHA in syphilis and yaws cases. It may be used as a first line screening test latent or untreated syphilis and yaws because of good sensitivity. For yaws diagnosis Syphilis RDT, RPR, and TPHA have low sensitivity, however all those tests have an excellent agreement. KEYWORDS: FTA-Abs, rapid diagnostic test, syphilis, yaws
Do people maximize quantiles?

Payoff quantiles have been used for decision making in banking and investment (in the form of Value-at-Risk) and in the mining, oil and gas industries (in the form of "probabilities of exceeding" a certain level of production). However, it is unknown how common quantile-based decision making actually is among typical individual decision makers. This paper describes an experiment that aims to (1) compare how common quantile decision making is relative to expected utility maximization, and (2) estimate risk attitude parameters under the assumption of quantile preferences. The experiment has two parts. In the first part, individuals make pairwise choices between risky lotteries, and the competing models are fitted to the choice data. In the second part, we directly elicit a decision rule from a menu of alternatives. The results show that a quantile preference model outperforms expected utility for a considerable minority, 30%--50%, of participants, depending on the metric. The majority of individuals are risk averse, and women are more risk averse than men, under both models.
Online recruitment of youth for mHealth studies.

Background Social networking sites and apps have emerged as an opportunity to engage in research young men who have sex with men (YMSM) at risk of HIV infection who may not be otherwise reached by in-person recruitment efforts. This paper highlights lessons learned, best practices and on-going recruitment challenges in the iTech network of the NIH Adolescent Trials Network for HIV Interventions. Methods Recruitment was conducted for four randomized controlled trials (RCTs) of mHealth HIV prevention interventions for YMSM living in 10 US cities. Advertising was purchased on Facebook, Instagram, Snapchat, Twitter and Grindr. Users who clicked on banner ads were taken directly to a study-specific eligibility screener and if eligible, were asked to provide contact information for follow-up by respective study site staff. Ad and screening metrics (impressions, clicks, cost per click (CPC), click-through rate (CTR), number screened, number eligible, number who provided contact information and cost per eligible contact) were compared across platforms, studies and geographic areas (where available). Screening metrics were also calculated for in-person recruitment efforts. Results Grindr and Snapchat ads produced the highest CTRs as compared to Facebook ads. However, these ads had the lowest proportions of users who initiated eligibility screeners and ultimately Facebook ads yielded the lowest cost per eligible contact across studies. Instagram ads yielded the highest proportions of eligible contacts who were racial/ethnic minorities and under the age of 18. Geographic variability in cost per eligible contact was observed for studies with identical eligibility criteria running concurrently in different regions, driven by both advertising costs and the screening and eligibility rates. Despite lower eligibility rates, the total numbers of eligible contacts were higher for online advertising campaigns, as compared to other recruitment efforts, for all studies except P3. Ads recruiting for P3 had the highest cost per eligible contact, likely due to this study having the most stringent eligibility criteria of the studies described. Conclusions We implemented a successful online advertising strategy to recruit YMSM at high risk for HIV infection into four RCTs of mHealth interventions. This report provides a framework for evaluation of data from future online recruitment efforts across platforms and geographic areas, regardless of inevitable changes in the digital marketing space.
The genome sequence of the channel bull blenny, Cottoperca gobio (Günther, 1861)

We present a genome assembly for Cottoperca gobio (channel bull blenny, (Günther, 1861)); Chordata; Actinopterygii (ray-finned fishes), a temperate water outgroup for Antarctic Notothenioids. The size of the genome assembly is 609 megabases, with the majority of the assembly scaffolded into 24 chromosomal pseudomolecules. Gene annotation on Ensembl of this assembly has identified 21,662 coding genes.
Invited perspectives: The volcanoes of Naples: how can the highest volcanic risk in the world be effectively mitigated?

Abstract. The Naples (southern Italy) area has the highest volcanic risk in the world due to the coexistence of three highly explosive volcanoes (Vesuvius, Campi Flegrei and Ischia) with extremely dense urbanisation. More than 3 million people live to within 20 kilometres from a possible eruptive vent. Mitigating such an extreme risk is made difficult because volcanic eruption forecasting is currently an empirical procedure with a very uncertain outcome. This paper starts by recalling the state of the art of eruption forecasting, and then describes the main hazards in the Neapolitan area, shortly presenting the activity and present state of its volcanoes. Then, it proceeds to suggest the most effective procedures to mitigate the extreme volcanic and associated risks. The problem is addressed in a highly multidisciplinary way, taking into account the main economic, sociological and urban issues. The proposed mitigation actions are then compared with the existing emergency plans, developed by Italian Civil Protection, by highlighting their numerous, very evident faults. Our study, besides regarding the most complex and extreme situation of volcanic risk in the world, gives guidelines for assessing and managing volcanic risk in any densely urbanised area.
Prediction of clinically relevant Pancreatico-enteric Anastomotic Fistulas after Pancreatoduodenectomy using deep learning of Preoperative Computed Tomography

Rationale: Clinically relevant postoperative pancreatic fistula (CR-POPF) is among the most formidable complications after pancreatoduodenectomy (PD), heightening morbidity/mortality rates. Fistula Risk Score (FRS) is a well-developed predictor, but it is an intraoperative predictor and quantifies >50% patients as intermediate risk. Therefore, an accurate and easy-to-use preoperative index is desired. Herein, we test the hypothesis that quantitative analysis of contrast-enhanced computed tomography (CE-CT) with deep learning could predict CR-POPFs. Methods: A group of 513 patients underwent pancreatico-enteric anastomosis after PD at three institutions between 2006 and 2019 was retrospectively collected, and formed a training (70%) and a validation dataset (30%) randomly. A convolutional neural network was trained and generated a deep-learning score (DLS) to identify the patients with higher risk of CR-POPF preoperatively using CE-CT images, which was further externally tested in a prospective cohort collected from August 2018 to June 2019 at the fourth institution. The biological underpinnings of DLS were assessed using histomorphological data by multivariate linear regression analysis. Results: CR-POPFs developed in 95 patients (16.3%) in total. Compared to FRS, the DLS offered significantly greater predictability in training (AUC:0.85 [95% CI, 0.80-0.90] vs. 0.78 [95% CI, 0.72-0.84]; P = 0.03), validation (0.81 [95% CI, 0.72-0.89] vs. 0.76 [95% CI, 0.66-0.84], P = 0.05) and test (0.89 [95% CI, 0.79-0.96] vs. 0.73 [95% CI, 0.61-0.83], P < 0.001) cohorts. Especially in the challenging patients of intermediate risk (FRS: 3-6), the DLS showed significantly higher accuracy (training: 79.9% vs. 61.5% [P = 0.005]; validation: 70.3% vs. 56.3% [P = 0.04]; test: 92.1% vs. 65.8% [P = 0.013]). Additionally, DLS was independently associated with pancreatic fibrosis (coefficients: -0.167), main pancreatic duct (coefficients: -0.445) and remnant volume (coefficients: 0.138) in multivariate linear regression analysis (r2 = 0.512, P < 0.001). The user satisfaction score in the test cohort was 4 out of 5. Conclusions: Preoperative CT based deep-learning model provides a promising novel method for predicting CR-POPF occurrences after PD, especially at intermediate FRS risk level. This has a potential to be integrated into radiologic reporting system or incorporated into surgical planning software to accommodate the preferences of surgeons to optimize preoperative strategies, intraoperative decision-making, and even postoperative care.
Pax Populi? A Re-Assessment of the Conflict Resolution Potential of Referendums on Self-Determination

The international community increasingly promotes referendums as it intervenes in separatist conflicts around the world. Yet much of the existing literature warns against referendums on self-determination, arguing that they are likely to escalate tensions. This paper develops a novel theory suggesting an important revision to the scholarly consensus. Building on the broader literatures on procedural fairness and ethno-nationalism, I argue that self-determination referendums are only likely to descend into violence if they are unilaterally initiated. By contrast, referendums that are mutually agreed by the conflict parties are likely to instill perceptions of fair decision-making and can thereby facilitate peaceful conflict resolution. I find support for my argument in a global statistical analysis (1946–2012); a case study of referendums held in Northern Ireland; and a survey experiment. Overall, the findings of this study suggest that self-determination referendums can make a positive contribution to peace; however, only if the conditions are ripe. ∗Department of Politics, Languages & International Studies, University of Bath, United Kingdom. Email: m.germann@bath.ac. uk. Acknowledgements: For critical comments and suggestions I would like to thank Lars-Erik Cederman, Simon Hug, Fernando Mendez, Nicholas Sambanis, as well as Daniel Bochsler, Kanchan Chandra, Anja Giudici, Dominik Hangartner, Brendan O’Leary, Uwe Serdült, Marco Steenbergen, Jonathan Wheatley, and Julian Wucherpfennig. Earlier versions of this paper were presented at the 2015 APSA Annual Meeting in San Francisco and the 2019 IPSA Joint Colloquium in Sarajevo. I gratefully acknowledge funding by the Swiss National Science Foundation (grants number 135127 and 162220). The experimental study was approved by the University of Bath’s Social Science Research Ethics Committee (reference number S19-076).
A Large-scale Open Dataset for Bandit Algorithms

We build and publicize the Open Bandit Dataset and Pipeline to facilitate scalable and reproducible research on bandit algorithms. They are especially suitable for off-policy evaluation (OPE), which attempts to predict the performance of hypothetical algorithms using data generated by a different algorithm. We construct the dataset based on experiments and implementations on a large-scale fashion e-commerce platform, ZOZOTOWN. The data contain the ground-truth about the performance of several bandit policies and enable the fair comparisons of different OPE estimators. We also provide a pipeline to make its implementation easy and consistent. As a proof of concept, we use the dataset and pipeline to implement and evaluate OPE estimators. First, we find that a well-established estimator fails, suggesting that it is critical to choose an appropriate estimator. We then select a well-performing estimator and use it to improve the platform's fashion item recommendation. Our analysis succeeds in finding a counterfactual policy that significantly outperforms the historical ones. Our open data and pipeline will allow researchers and practitioners to easily evaluate and compare their bandit algorithms and OPE estimators with others in a large, real-world setting.
Solid Fuel Produced from Mandarin Peels and Rice Husks

Biomasses like tangerine peels and rice husks are seen among the most abundant and accessible sources for conversion into products with a higher added value. One possibility is the production of solid fuels for the decentralization of energy production and utilization of agricultural residue. It is important to highlight that sustainable bioenergy must have high efficiency, therefore we have evaluated the higher and lower heating values of the specimens produced from rice shells husks, mandarin peels, cornstarch, glycerol, citric acid, and acetic acid. We have determined the total moisture content, ash content, and higher and lower heating value of the sixteen collected specimens. We have also determined the compressive strength, in which all samples presented a maximum resistance appropriate for the storage and handling of the developed solid fuels. The composites with a higher quantity of mandarin peels showed greater higher and lower heating values, of 19.18 MJ/kg and of 17.92 MJ/Kg, respectively. All developed samples have shown to be capable of replacing traditional heat sources like firewood (7.12-10.47 MJ/kg) with a better energy performance.