Miracle-dz/UniFAR-FTUs huggingface dataset:
BARTScore: Evaluating Generated Text as Text Generation

A wide variety of NLP applications, such as machine translation, summarization, and dialog, involve text generation. One major challenge for these applications is how to evaluate whether such generated texts are actually fluent, accurate, or effective. In this work, we conceptualize the evaluation of generated text as a text generation problem, modeled using pre-trained sequence-to-sequence models. The general idea is that models trained to convert the generated text to/from a reference output or the source text will achieve higher scores when the generated text is better. We operationalize this idea using BART, an encoder-decoder based pre-trained model, and propose a metric BARTScore with a number of variants that can be flexibly applied in an unsupervised fashion to evaluation of text from different perspectives (e.g. informativeness, fluency, or factuality). BARTScore is conceptually simple and empirically effective. It can outperform existing top-scoring metrics in 16 of 22 test settings, covering evaluation of 16 datasets (e.g., machine translation, text summarization) and 7 different perspectives (e.g., informativeness, factuality). Code to calculate BARTScore is available at https://github.com/neulab/BARTScore, and we have released an interactive leaderboard for meta-evaluation at http://explainaboard.nlpedia. ai/leaderboard/task-meval/ on the ExplainaBoard platform, which allows us to interactively understand the strengths, weaknesses, and complementarity of each metric.
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces

Offline reinforcement learning (RL) leverages previously collected data for policy optimization without any further active exploration. Despite the recent interest in this problem, its theoretical results in neural network function approximation settings remain elusive. In this paper, we study the statistical theory of offline RL with deep ReLU network function approximation. In particular, we establish the sample complexity of $n = \tilde{\mathcal{O}}( H^{4 + 4 \frac{d}{\alpha}} \kappa_{\mu}^{1 + \frac{d}{\alpha}} \epsilon^{-2 - 2\frac{d}{\alpha}} )$ for offline RL with deep ReLU networks, where $\kappa_{\mu}$ is a measure of distributional shift, {$H = (1-\gamma)^{-1}$ is the effective horizon length}, $d$ is the dimension of the state-action space, $\alpha$ is a (possibly fractional) smoothness parameter of the underlying Markov decision process (MDP), and $\epsilon$ is a user-specified error. Notably, our sample complexity holds under two novel considerations: the Besov dynamic closure and the correlated structure. While the Besov dynamic closure subsumes the dynamic conditions for offline RL in the prior works, the correlated structure renders the prior works of offline RL with general/neural network function approximation improper or inefficient {in long (effective) horizon problems}. To the best of our knowledge, this is the first theoretical characterization of the sample complexity of offline RL with deep neural network function approximation under the general Besov regularity condition that goes beyond {the linearity regime} in the traditional Reproducing Hilbert kernel spaces and Neural Tangent Kernels.
Dysfluency Recognition by using Spectral Entropy Features

In recent decades, speech recognition technology has improved effectively and significantly, but it is restricted only for a stream of words. These recognition systems assist human’s effectively for structured speech but for unstructured speech this assistance is not so effective for humans to communicate with machines, because unstructured stream of word lacks in providing useful information about pronunciation and punctuation. Recovering of such structural information by detecting the position of each phones in a sentence by locating the sentence boundaries, repeated words and missing phones in each phrase. The proposed work investigates the spectral entropy features, for the automatic detection of voiced and non-voiced regions, in the process of dysfluent speech recognition. The entropy features are estimated by normalizing the Fourier transform spectrum as Probability mass function (PMF). For clear formants of speech, the value of entropy is low and the value of entropy is high for flat distribution of silence part or if there is any noise in speech sample. A comparison of entropy features with Word Error Rate is presented in the proposed work
Consumer based brand equity: A verification approach in telecom sector of Pakistan

The purpose of the study is to explore more fields of customer based brand equity in Pakistan telecom sector. Moreover, an effort was made to view the existence of relationship between the brand equity factors. The questionnaire was distributed among the respondents by following the simple random sampling technique. Questionnaires were distributed among 315 respondents, out of which, only 207 were properly filled. Data was analyzed through SPSS and relationships between proposed variables were checked through Structural Equation Modelling (SEM). The findings of this study show a significant positive relationship among the four factors of brand equity. The relationships among perceived quality, brand awareness and brand associations were found to be quite strong while the relationship between these three variables and brand loyalty was relatively weaker. This research study highlights the area where companies should focus to gain a sustainable competitive advantage. Further research can be done to find out the root causes of the factors that weaken the relationship of brand loyalty with other variables.
Policies and Practices Catalyzing the Use of Generic Medicines: A Systematic Search and Review

Background The use of generic medicines instead of branded, is one of the main policies to decrease the expenditures and provide access to affordable and essential medicines in low and middle-income countries. The present study aims to systematically create a comprehensive synthesis of demand-side policies, encouraging the use of generic medicines. Methods The study systematically searched and reviewed the articles in Medline, Scopus, Web of Science, and Embase from 1.1. 2000 to 12.5. 2019. A total of 6435 records were identified during this period of time (Medline (n=315), Scopus (n=4323), Web of Science (n=71) and Embase (n=1726)). All stages are conducted according to the Preferred Reporting Item for Systematic Reviews and Meta-Analyzed (PRISMA). Results The encouraging policies and practices were classified into four categories from 44 articles analyzed, including; Prescribing, Dispensing, Patients/consumers, and healthcare organizations. Subthemes were also explored in relation to each category as; education, financial incentives, generic substitution, advertising approaches, and enforcement. Conclusion Various policies should be taken into consideration to encourage successful generic medication prescribing, dispensing, and consumption in both supply and demand-side. Economic, political, socio-cultural, technological, legal, and structural factors could as such accelerate the policies' effect. Studying the experience of successful countries can be helpful for policymakers.
Investigation of the Morphological, Atomic and Electronic Structural Changes CuOx Nanoparticles and CNT in a Nanocomposite CuOx/CNT: SEM and X-Ray Spectroscopic Studies

Morphology, atomic and electronic structure of CuOx/CNT nanocomposite synthesized by electrochemical method were investigated using methods scanning electron microscopy (SEM), X-ray absorption spectroscopy (XANES and NEXAFS) and X-ray photoelectron spectroscopy (XPS). It has been shown that by the formation of a nanocomposite changes in morphology, oxidation state and phase composition of CuOx nanoparticles in comparison with the initial particles were observed. The initial oxidation of carbon nanotube (CNT) surface leads to reduction ability of the formation of chemical bonds between the nanoparticles and tubes.
Gastroprotective Effect of Ethanol Extracts from Bark of Magnolia officinalis on Ethanol-Induced Gastric Mucosal Damage in Rats

Background. Magnolia officinalis Rehd. and Wils. is widely used in Asian countries because of its multiple pharmacological effects. This study investigated the gastroprotective effect and mechanisms of the ethanol extracts from the bark of Magnolia officinalis (MOE) against ethanol-induced gastric mucosal damage in rats. Methods. MOE was prepared by reflux extraction with 70% ethanol, and its main compounds were analyzed by UPLC-Q-Exactive Orbitrap-MS. DPPH, ABTS, and FRAP methods were used to evaluate the antioxidant capacity of MOE in vitro. The gastroprotective effects of MOE were evaluated by the area of gastric injury, H&E (hematoxylin-eosin), and PAS (periodic acid-Schiff). The mechanism was explored by measuring the levels of cytokines and protein in the NF-κB signaling pathway. Results. 30 compounds were identified from MOE, mainly including lignans and alkaloids. MOE presented a high antioxidant activity in several oxidant in vitro systems. Gastric ulcer index and histological examination showed that MOE reduced ethanol-induced gastric mucosal injury in a dose-dependent manner. MOE pretreatment significantly restored the depleted activity of superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) enzymes, reduced malondialdehyde (MDA), and prostaglandin E2 (PGE2) levels in the gastric tissue in rats. In addition, MOE also inhibited the activation of nuclear factor kappa B (NF-κB) pathway and decreased the production of proinflammatory cytokines. Conclusions. The gastroprotective effect of MOE was attributed to the inhibition of oxidative stress and the NF-κB inflammatory pathway. The results provided substantial evidence that MOE could be a promising phytomedicine for gastric ulcer prevention.
Current status and future perspectives on neoadjuvant therapy in gastric cancer

Gastric cancer, with high morbidity and mortality rates, is one of the most heterogeneous tumors. Radical gastrectomy and postoperative chemotherapy are the standard treatments. However, the safety and efficacy of neoadjuvant therapy (NAT) need to be confirmed by many trials before implementation, creating a bottleneck in development. Although clinical benefits of NAT have been observed, a series of problems remain to be solved. Before therapy, more contributing factors should be offered for choice in the intended population and ideal regimens. Enhanced computed tomography (CT) scanning is usually applied to evaluate effectiveness according to Response Evaluation Criteria in Solid Tumors (RECIST), yet CT scanning results sometimes differ from pathological responses. After NAT, the appropriate time for surgery is still empirically defined. Our review aims to discuss the abovementioned issues regarding NAT for GC, including indications, selection of regimens, lesion assessment and NAT-surgery interval time.
Risky Sexual Behavior across Extremes of Wealth in sub-Saharan Africa: A Meta-Analysis of Demographic and Health Surveys

Background Risky sexual behavior increases the risk of contracting sexually transmitted disease including HIV and other reproductive health problems. There have been varying assumptions and different reported result explaining the relationship between risky sexual behavior and wealth. This review was intended to examine the disparity of risky sexual behavior among the two extremes of wealth in sub-Saharan African countries. Method This study reviewed demographic and health survey reports of sub-Saharan African countries. We excluded older reports and reports published in languages other than English. Finally, reports from 16 countries were considered for review. Data were entered in excel and transported to stata for analysis. Metaprop and Metan command were used to compute proportions and odds ratio. Standard chi-square and I square tests were used to assess heterogeneity. Result Pooled prevalence of having multiple sexual partner ranges from 2 to 12%. Over 80% of the countries reported that more than half of the individuals did not use condom at their last risky sexual intercourse. Poorest females were 0.62 [OR: 0.62, 95% CI (0.50, 0.78)] times less likely to have multiple sexual partners than males. Both males and females from the poorest wealth quantile had higher odds of not using condom at their last risky sexual intercourse, 1.41 [OR: 1.41, 95% CI (1.29, 1.53)], 1.41 [OR: 1.46, 95% CI (1.23, 1.73)], respectively. Conclusion Multiple sexual partners is relatively low in the region. Condom non-use is high in both genders. Additionally, poorest males and females were at higher risk of not using a condom at last risky sexual intercourse.
Otherwise Unexplained Transient QTc Prolongation in a Patient Admitted with COVID Disease

Background. Several cardiovascular manifestations of coronavirus disease 2019 (COVID-19) have been previously described. QT prolongation has been reported in COVID-19 infection in association with medications such as azithromycin, hydroxychloroquine, and chloroquine but has not previously been reported as a direct result of COVID-19 infection. Case summary. We report the case of a 65-year-old female who developed a prolonged corrected QT interval (QTc) during a hospital admission with COVID-19. This patient was not on any QT prolonging treatment, serum electrolytes were normal, and there was no identifiable reversible cause for the QTc lengthening. Daily serial ECGs during admission showed resolution of the ventricular repolarization abnormality in synchronization with resolution of her COVID-19 viral illness. Discussions. Although there have been reports of QTc prolongation in COVID-19 patients, previous reports of this are for patients receiving medication that causes QT prolongation. This case uniquely demonstrates the development and resolution of this temporary ventricular repolarization abnormality in a patient with a structurally normal heart with no evidence of myocardial fibrosis or edema on cardiac MRI, that is unexplained by other confounding factors, such as medication. This suggests there may be a direct association between COVID-19 and temporary QTc prolongation.
A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation

Objective At present, there is no consensus on the best strategy for interpreting the cardiopulmonary exercise test's (CPET) results. This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identifying chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD). Methods Data from 234 CPET files from the Pulmonary Institute, at Sheba Medical Center, and the Givat-Washington College, both in Israel, were selected for this study. The selected CPET files included patients with confirmed primary CHF (n = 73), COPD (n = 75), and healthy subjects (n = 86). Of the 234 CPETs, 150 (50 in each group) tests were used for the support vector machine (SVM) learning stage, and the remaining 84 tests were used for the model validation. The performance of the SVM interpretive module was assessed by comparing its interpretation output with the conventional clinical diagnosis using distribution analysis. Results The disease classification results show that the overall predictive power of the proposed interpretive model ranged from 96% to 100%, indicating very high predictive power. Furthermore, the sensitivity, specificity, and overall precision of the proposed interpretive module were 99%, 99%, and 99%, respectively. Conclusions The proposed new computer-aided CPET interpretive module was found to be highly sensitive and specific in classifying patients with CHF or COPD, or healthy. Comparable modules may well be applied to additional and larger populations (pathologies and exercise limitations), thereby making this tool powerful and clinically applicable.
Laparoscopic surgery for gastric cancer: Current status and future direction

Gastric cancer is still a major cause of death worldwide. While laparoscopic gastrectomy (LG) has gained evidence as a standard treatment for early gastric cancer in the distal stomach, there are still concerns regarding its application for gastric cancer in the upper stomach and advanced gastric cancer. Nevertheless, LG has shown to have faster recovery, shorter hospital stay, less pain, and less blood loss in many retrospective and prospective studies. The application of LG has now extended from conventional radical gastrectomy to novel approaches such as function-preserving gastrectomy and sentinel-node navigated surgery. Studies on the use of laparoscopy in treatment for stage IV gastric cancer are rare, but show that there may be some roles of LG in selected cases. With the development of new laparoscopic tools that augment human ability, the future of LG should move on from proving non-inferiority to demonstrating superiority compared to the traditional open gastrectomy.
Congenital biliary atresia is correlated with disrupted cell junctions and polarity caused by Cdc42 insufficiency in the liver

Rationale: Congenital biliary atresia (BA) is a destructive obliterative cholangiopathy of neonates that affects both intrahepatic and extrahepatic bile ducts. However, the cause of BA is largely unknown. Methods: We explored the cell junctions and polarity complexes in early biopsy BA livers by immunofluorescence staining and western blot. Cdc42, as a key cell junction and polarity regulator, was found dramatically decreased in BA livers. Therefore, in order to investigate the role of Cdc42 in BA development, we constructed liver-specific and tamoxifen induced cholangiocyte-specific Cdc42 deleted transgenic mice. We further evaluated the role of bile acid in aggravating biliary damage in Cdc42 insufficient mouse liver. Results: We found a dramatic defect in the assembly of cell junctions and polarity complexes in both cholangiocytes and hepatocytes in BA livers. This defect was characterized by the disordered location of cell junction proteins, including ZO1, β-catenin, E-cadherin and claudin-3. Cdc42 and its active form, Cdc42-GTP, which serves as a small Rho GTPase to orchestrate the assembly of polarity complexes with Par6/Par3/αPKC, were substantially reduced in BA livers. Selective Cdc42 deficiency in fetal mouse cholangiocytes resulted in histological changes similar to those found in human BA livers, including obstruction in both the intra- and extrahepatic bile ducts, epithelial atrophy, and the disruption of cell junction and polarity complexes. A reduction in bile acids notably improved the histology and serological indices in Cdc42-mutant mice. Conclusion: Our results illustrate that BA is closely correlated with the impaired assembly of cell junction and polarity complexes in liver cells, which is likely caused by Cdc42 insufficiency and aggravated by bile acid corrosion.
We need a hero: HR and the ‘next normal’ workplace

Abstract During the first few months of the COVID‐19 pandemic, employees worked from home in record numbers and enjoyed extraordinarily high levels of autonomy. Now, as employers reopen their doors, we can build on those gains to create better workplaces than the ones we left behind. HR has a window of opportunity in which to develop psychologically safe workplaces, trust‐based employment relationships and socially connected workforces. But progress towards better workplaces hangs on a few critical adjustments in the HR researcher–practitioner relationship. HR researchers must work with HR practitioners to identify organization‐level interventions and examine their simultaneous influence on employee and employer outcomes. HR practitioners must create sandboxes where those interventions can be pilot tested, and resist their instinctive urge to establish formalised structures and develop monitoring systems.
Adsorption of Methanethiolate and Atomic Sulfur at the Cu(111) Surface: A Computational Study

Density-functional theory calculations have been carried out to study the adsorption of methanethiolate and atomic sulfur as a nonmolecular reference at the Cu(111) surface. A large number of surface models have been investigated considering a variety of binding sites and coverages at the ideal and reconstructed surface. For methanethiolate, we find that the proposed [5013] supercell commonly used to approximate the experimentally observed noncommensurate pseudo(100) reconstruction yields the lowest surface energy, but several similar local minima exist differing in the positions of the copper atoms. None of these structures show the regular nearly square coordination of the thiolate species observed in scanning tunneling microscopy (STM). Modifying the chemical composition of the relaxed layer, e.g., by adding another copper atom, yields structures of comparable stability. It is thus very likely that the proposed supercell is not a good approximation to the true pseudo(100) phase and that larger unit cel.
The Effectiveness of the Bacteria Derived Extremolyte Ectoine for the Treatment of Allergic Rhinitis

Nonpharmacological therapies with a good tolerability and safety profile are of interest to many patients with allergic rhinitis, as a relevant proportion of them have reservations about guideline-concordant pharmacological therapies due to their local irritations and side effects. Ectoine is a bacterial-derived extremolyte with an ability to protect proteins and biological membranes against damage caused by extreme conditions of salinity, drought, irradiation, pH, and temperature. Evidence from preclinical and clinical studies attests its effectiveness in the treatment of several inflammatory diseases, including allergic rhinitis. In this review, we analyzed 14 recent clinical trials investigating ectoine nasal spray in patients with allergic rhinitis and/or conjunctivitis, including sensitive patient groups like children or pregnant women. Some studies investigated monotherapy with ectoine; others investigated combination therapy of ectoine and an antihistamine or a corticosteroid. Analysis of the study results demonstrated that patients with mild-to-moderate symptoms of allergic rhinitis can be successfully treated with ectoine-containing nasal spray. When applied as monotherapy, ectoine exerted noninferior effects compared to first-line therapies such as antihistamines and cromoglicic acid. Using ectoine as an add-on therapy to antihistamines or intranasal glucocorticosteroids accelerated symptom relief by days and improved the level of symptom relief. Importantly, concomitant treatment with ectoine was proven beneficial in a group of difficult-to-treat patients suffering from moderate-to-severe rhinitis symptoms. Taken together, the natural substance ectoine represents a viable alternative for allergic rhinitis and conjunctivitis patients who wish to avoid local reactions and side effects associated with pharmacological therapies.