Miracle-dz/UniFAR-FTUs huggingface dataset:
The Assessment of Exposure to Occupational Noise and Hearing Loss for Stoneworkers in Taiwan

Introduction: Stoneworkers in Taiwan are exposed to occupational noise and suffer hearing impairment. A complete assessment of exposure and health effects is needed for a better understanding. Materials and Methods: We accessed nine stone factories, monitored the environmental and personal doses of noise, analyzed the frequency spectra of noise from various machines, and recruited 55 stoneworkers and 25 administrative staff as controls for pure tone audiometry testing. Results: The means (standard deviations) of 8-h time-weighted averages for environmental and personal monitoring were 85.0 (6.2) and 87.0 (5.5) dB(A), respectively, with seven of nine personal measurements being higher than the respective environmental results. The monitoring data suggest that occupational noise in the stonework environments should be a matter of great concern. Nearly all frequency spectra indicated peak values occurring between 2 and 4 kHz, which were within the bands for early noise-induced hearing loss (NIHL). The mean hearing threshold levels of the study participants were elevated in low and high frequencies (29.2 and 41.2 dB) compared to that of controls (∼25 dB for both bands). Linear regression analysis indicated no significance in the low frequencies (P = 0.207) but statistical significance in the high frequencies (P = 0.002) after adjustment for covariates, suggesting NIHL among the stoneworkers. Conclusion: Stoneworkers apparently display early signs of NIHL. Noises in the stonework factories with peaks in the high frequencies are harmful to hearing ability. Employers and workers have to comply with the regulation strictly to prevent further hearing damage.
Sex and number of concussions influence the association between concussion and musculoskeletal injury history in collegiate athletes

ABSTRACT Objectives: Examine the association between concussion and lower extremity injury in collegiate athletes and the influence of sex and the number of concussions on this relationship. Methods: A total of 468 collegiate student-athletes (200 Males, 268 Females) were recruited from collegiate athletic facilities of three universities to participate in this retrospective review. Participants provided injury history (concussions, ankle sprains, and knee injuries) information through a survey. Chi-square tests and odds ratios examined the relationship between concussion and ankle sprain or knee injury history within each sex and based on concussion history (0, 1, >1). Results: Females athletes with a concussion history had greater odds of reporting an ankle sprain or knee injury compared to females with no concussion history (OR = 1.88–2.54; p ≤ 0.020). Male athletes with a concussion history did not have greater odds of reporting an ankle sprain or knee injury. Athletes reporting multiple concussions had the greatest odds of ankle sprain or knee injury history compared to athletes with no previous concussions (OR = 2.43–2.56; p ≤ 0.004). No differences were identified between athletes with a single or multiple concussion history. Conclusion: Female athletes with a concussion history or participants with a multiple concussion history had the greatest odds of reporting an ankle or knee injury history compared to athletes with no concussion history.
Characterizing the Natural Language Descriptions in Software Logging Statements

Logging is a common programming practice of great importance in modern software development, because software logs have been widely used in various software maintenance tasks. To provide high-quality logs, developers need to design the description text in logging statements carefully. Inappropriate descriptions will slow down or even mislead the maintenance process, such as postmortem analysis. However, there is currently a lack of rigorous guide and specifications on developer logging behaviors, which makes the construction of description text in logging statements a challenging problem. To fill this significant gap, in this paper, we systematically study what developers log, with focus on the usage of natural language descriptions in logging statements. We obtain 6 valuable findings by conducting source code analysis on 10 Java projects and 7 C# projects, which contain 28,532,975 LOC and 115,159 logging statements in total. Furthermore, our study demonstrates the potential of automated description text generation for logging statements by obtaining up to 49.04 BLEU-4 score and 62.1 ROUGE-L score using a simple information retrieval method. To facilitate future research in this field, the datasets have been publicly released.
Reversed effect of spatial compatibility when taking avatar’s perspective

If an actor takes the perspective of an avatar, spatial dissociations could arise between the perspective of the actor and the perspective of the avatar. These become particularly interesting when solving spatial compatibility tasks. Effects of spatial compatibility are usually explained by a match or mismatch of automatic behavioural tendencies and intentional mapping processes. The question is whether actors develop such behavioural tendencies for an avatar and thereby are able to neglect their own perspective. In the experiments, actors take the perspective of the avatar and pressed ipsilateral or contralateral left–right keys in response to lateralised coloured discs. Experiments 1 and 2 showed that compatibility effects are tied to the avatar but not to the actor. Experiment 3 revealed that participants could ignore the perspective of the avatar. We concluded that the automatic behavioural tendencies in compatibility experiments are not as automatic as sometimes assumed. It is likely that the present results are not only applicable to the use of avatars but also to other human-controlled robots and drones.
Targeting strategies for drug delivery to the kidney: From renal glomeruli to tubules

Kidney diseases have become a global public health problem. The application of kidney‐targeted drug‐delivery systems in the management of kidney diseases has profound transformative potential. Kidney‐targeted drug delivery can reduce the undesired side effects of often potent drugs and enhance drug efficacy in alleviating the kidney disease. Here, we review the literature on the potential strategies for targeting drugs to the kidneys. Specifically, we provide a broad overview of the targeting vectors and targeting pathways for renal tubules and glomeruli, as well as how the unique structural features of the glomerulus and the receptor‐mediated internalization pathways of the tubules allows for drug targeting. Finally, we summarized the literature examples of drug delivery to the kidneys and elaborated strategies suitable for renal targeting to provide new therapeutic approaches for kidney diseases.
Metabolomics-Based Clinical Efficacy and Effect on the Endogenous Metabolites of Tangzhiqing Tablet, a Chinese Patent Medicine for Type 2 Diabetes Mellitus with Hypertriglyceridemia

Tangzhiqing tablet (TZQ) is derived from Tangzhiqing formula, which has been used to regulate glucose and lipid metabolism in China for hundreds of years. However, as a new Chinese patent medicine, its clinical indication is not clear. To explore the clinical indication and effect on the patients with type 2 diabetes mellitus (T2DM), a pilot clinical trial and metabolomics study were carried out. In the clinical study, T2DM patients were divided into three groups and treated with TZQ, placebo, or acarbose for 12 weeks, respectively. The metabolomic study based on UPLC Q-TOF MS was performed including patients with hypertriglyceridemia in TZQ and placebo groups and healthy volunteers. The clinical results showed that TZQ could reduce glycosylated hemoglobin (HbA1c) and fasting insulin. For patients with hypertriglyceridemia in TZQ group, the levels of HbA1c all decreased and were correlated with the baseline level of triglyceride. Metabonomics data showed a significant difference between patients and healthy volunteers, and 17 biomarkers were identified. After 12-week treatment with TZQ, 11 biomarkers decreased significantly (p<0.05), suggesting that TZQ could improve the metabolomic abnormalities in these participants. In conclusion, the clinical indication of TZQ was T2DM with hypertriglyceridemia, and its target was related to glycerophospholipid metabolism.
Mining File Histories: Should We Consider Branches?

Modern distributed version control systems, such as Git, offer support for branching — the possibility to develop parts of software outside the master trunk. Consideration of the repository structure in Mining Software Repository (MSR) studies requires a thorough approach to mining, but there is no well-documented, widespread methodology regarding the handling of merge commits and branches. Moreover, there is still a lack of knowledge of the extent to which considering branches during MSR studies impacts the results of the studies. In this study, we set out to evaluate the importance of proper handling of branches when calculating file modification histories. We analyze over 1,400 Git repositories of four open source ecosystems and compute modification histories for over two million files, using two different algorithms. One algorithm only follows the first parent of each commit when traversing the repository, the other returns the full modification history of a file across all branches. We show that the two algorithms consistently deliver different results, but the scale of the difference varies across projects and ecosystems. Further, we evaluate the importance of accurate mining of file histories by comparing the performance of common techniques that rely on file modification history — reviewer recommendation, change recommendation, and defect prediction — for two algorithms of file history retrieval. We find that considering full file histories leads to an increase in the techniques' performance that is rather modest.
A Neural Framework for Retrieval and Summarization of Source Code

Code retrieval and summarization are two tasks often employed by software developers to reuse code that spreads over online repositories. In this paper, we present a neural framework that allows bidirectional mapping between source code and natural language to improve these two tasks. Our framework, BVAE, is designed to have two Variational AutoEncoders (VAEs) to model bimodal data: C-VAE for source code and L-VAE for natural language. Both VAEs are trained jointly to reconstruct their input as much as possible with regularization that captures the closeness between the latent variables of code and description. BVAE could learn semantic vector representations for both code and description and generate completely new descriptions for arbitrary code snippets. We design two instance models of BVAE for retrieval and summarization tasks respectively and evaluate their performance on a benchmark which involves two programming languages: C# and SQL. Experiments demonstrate BVAE's potential on the two tasks.
Telehealth interventions for schizophrenia-spectrum disorders and clinical high-risk for psychosis individuals: A scoping review

Background Despite its increased use in mental health, both health care provision by telehealth and research are in the early stages. Videoconferencing, a telehealth subfield, has been mainly used for the medication management and delivery of psychological treatments for mood, adjustment and anxiety disorders, and to a lesser extent for psychotic disorders. Objectives The focus of this scoping review is on studies using videoconferencing for intervention for individuals with a diagnosis of schizophrenia-spectrum disorder and those who may be considered to be in the very early stages of psychosis (clinical high risk). The aim of this review is to assess the feasibility, acceptability and clinical benefits of videoconferencing interventions and compare them with face-to-face interventions for this population. Methods A scoping review of peer-reviewed original research on the use of videoconferencing for intervention purposes in individuals with a schizophrenia-spectrum disorder or at clinical high risk. Results Out of 13,750 citations, 60 articles were retrieved for detailed evaluation, resulting in 14 eligible studies (N = 439 individuals). There was no study reporting on videoconferencing interventions for individuals at clinical high risk. All the studies reported that videoconferencing implementation was feasible, and most of them described high acceptance by individuals with a schizophrenia-spectrum disorder. However, selection bias of studies was high, and overall methodological quality was poor. Conclusion Videoconferencing interventions seem feasible for participants with schizophrenia-spectrum disorder who showed high acceptance of this intervention modality.
Prevalence Estimates of Polycystic Kidney and Liver Disease by Population Sequencing.

BACKGROUND Estimating the prevalence of autosomal dominant polycystic kidney disease (ADPKD) is challenging because of age-dependent penetrance and incomplete clinical ascertainment. Early studies estimated the lifetime risk of ADPKD to be about one per 1000 in the general population, whereas recent epidemiologic studies report a point prevalence of three to five cases per 10,000 in the general population. METHODS To measure the frequency of high-confidence mutations presumed to be causative in ADPKD and autosomal dominant polycystic liver disease (ADPLD) and estimate lifetime ADPKD prevalence, we used two large, population sequencing databases, gnomAD (15,496 whole-genome sequences; 123,136 exome sequences) and BRAVO (62,784 whole-genome sequences). We used stringent criteria for defining rare variants in genes involved in ADPKD (PKD1, PKD2), ADPLD (PRKCSH, SEC63, GANAB, ALG8, SEC61B, LRP5), and potential cystic disease modifiers; evaluated variants for quality and annotation; compared variants with data from an ADPKD mutation database; and used bioinformatic tools to predict pathogenicity. RESULTS Identification of high-confidence pathogenic mutations in whole-genome sequencing provided a lower boundary for lifetime ADPKD prevalence of 9.3 cases per 10,000 sequenced. Estimates from whole-genome and exome data were similar. Truncating mutations in ADPLD genes and genes of potential relevance as cyst modifiers were found in 20.2 cases and 103.9 cases per 10,000 sequenced, respectively. CONCLUSIONS Population whole-genome sequencing suggests a higher than expected prevalence of ADPKD-associated mutations. Loss-of-function mutations in ADPLD genes are also more common than expected, suggesting the possibility of unrecognized cases and incomplete penetrance. Substantial rare variation exists in genes with potential for phenotype modification in ADPKD.
Salidroside Attenuates High-Fat Diet-Induced Nonalcoholic Fatty Liver Disease via AMPK-Dependent TXNIP/NLRP3 Pathway

Our previous studies suggested that salidroside could alleviate hepatic steatosis in type 2 diabetic C57BLKS/Leprdb (db/db) mice. The aim of the present study was to evaluate the therapeutic effect of salidroside on high-fat diet- (HFD-) induced nonalcoholic fatty liver disease (NAFLD) by investigating underlying mechanisms. Mice were fed with HFD or regular diet, randomly divided into two groups, and treated with salidroside or vehicle for 8 weeks. Then, biochemical analyses and histopathological examinations were conducted in vivo and in vitro. Salidroside administration attenuated HFD-induced obesity, blood glucose variability, and hepatic lipid deposition, markedly increasing insulin sensitivity in HFD mice. In addition, salidroside suppressed oxidative stress, thioredoxin-interacting protein (TXNIP) expression, and NLRP3 inflammasome activation in the liver. In cultured hepatocytes, salidroside dose dependently regulated lipid accumulation, reactive oxygen species (ROS) generation, and NLRP3 inflammasome activation as well as improved AMP-activated protein kinase (AMPK) activity and insulin sensitivity. The inhibition of AMPK activation by inhibitor or short interfering RNA (siRNA) resulted in the suppression of the beneficial effects of salidroside in hepatocytes. Our findings demonstrated that salidroside protects against NAFLD by improving hepatic lipid metabolism and NLRP3 inflammasome activation, and these actions are related to the regulation of the oxidative stress and AMPK-dependent TXNIP/NLRP3 pathways.
In silico mouse study identifies tumour growth kinetics as biomarkers for the outcome of anti-angiogenic treatment

Angiogenesis is a crucial step in tumor progression, as this process allows tumors to recruit new blood vessels and obtain oxygen and nutrients to sustain growth. Therefore, inhibiting angiogenesis remains a viable strategy for cancer therapy. However, anti-angiogenic therapy has not proved to be effective in reducing tumor growth across a wide range of tumors, and no reliable predictive biomarkers have been found to determine the efficacy of anti-angiogenic treatment. Using our previously established computational model of tumor-bearing mice, we sought to determine whether tumor growth kinetic parameters could be used to predict the outcome of anti-angiogenic treatment. A model trained with datasets from six in vivo mice studies was used to generate a randomized in silico tumor-bearing mouse population. We analyzed tumor growth in untreated mice (control) and mice treated with an anti-angiogenic agent and determined the Kaplan-Meier survival estimates based on simulated tumor volume data. We found that the ratio between two kinetic parameters, k0 and k1, which characterize the tumor’s exponential and linear growth rates, as well as k1 alone, can be used as prognostic biomarkers of population survival outcome. Our work demonstrates a robust, quantitative approach for identifying tumor growth kinetic parameters as prognostic biomarkers and serves as a template that can be used to identify other biomarkers for anti-angiogenic treatment.
Use of Oral Cholera Vaccine and Knowledge, Attitudes, and Practices Regarding Safe Water, Sanitation and Hygiene in a Long-Standing Refugee Camp, Thailand, 2012-2014

Oral cholera vaccines (OCVs) are relatively new public health interventions, and limited data exist on the potential impact of OCV use on traditional cholera prevention and control measures—safe water, sanitation and hygiene (WaSH). To assess OCV acceptability and knowledge, attitudes, and practices (KAPs) regarding cholera and WaSH, we conducted cross-sectional surveys, 1 month before (baseline) and 3 and 12 months after (first and second follow-up) a preemptive OCV campaign in Maela, a long-standing refugee camp on the Thailand-Burma border. We randomly selected households for the surveys, and administered questionnaires to female heads of households. In total, 271 (77%), 187 (81%), and 199 (85%) households were included in the baseline, first and second follow-up surveys, respectively. Anticipated OCV acceptability was 97% at baseline, and 91% and 85% of household members were reported to have received 1 and 2 OCV doses at first follow-up. Compared with baseline, statistically significant differences (95% Wald confidence interval not overlapping zero) were noted at first and second follow-up among the proportions of respondents who correctly identified two or more means of cholera prevention (62% versus 78% and 80%), reported boiling or treating drinking water (19% versus 44% and 69%), and washing hands with soap (66% versus 77% and 85%); a significant difference was also observed in the proportion of households with soap available at handwashing areas (84% versus 90% and 95%), consistent with reported behaviors. No significant difference was noted in the proportion of households testing positive for Escherichia coli in stored household drinking water at second follow-up (39% versus 49% and 34%). Overall, we observed some positive, and no negative changes in cholera- and WaSH-related KAPs after an OCV campaign in Maela refugee camp. OCV campaigns may provide opportunities to reinforce beneficial WaSH-related KAPs for comprehensive cholera prevention and control.
$\alpha$ Diff: Cross-Version Binary Code Similarity Detection with DNN

Binary code similarity detection (BCSD) has many applications, including patch analysis, plagiarism detection, malware detection, and vulnerability search etc. Existing solutions usually perform comparisons over specific syntactic features extracted from binary code, based on expert knowledge. They have either high performance overheads or low detection accuracy. Moreover, few solutions are suitable for detecting similarities between cross-version binaries, which may not only diverge in syntactic structures but also diverge slightly in semantics. In this paper, we propose a solution $\alpha$ Diff, employing three semantic features, to address the cross-version BCSD challenge. It first extracts the intra-function feature of each binary function using a deep neural network (DNN). The DNN works directly on raw bytes of each function, rather than features (e.g., syntactic structures) provided by experts. $\alpha$ Diff further analyzes the function call graph of each binary, which are relatively stable in cross-version binaries, and extracts the inter-function and inter-module features. Then, a distance is computed based on these three features and used for BCSD. We have implemented a prototype of $\alpha$ Diff, and evaluated it on a dataset with about 2.5 million samples. The result shows that $\alpha$ Diff outperforms state-of-the-art static solutions by over 10 percentages on average in different BCSD settings.
Recent Advances in the Analysis of Gut Microbiota and their Relationship with Disease

Numerous and complex microbial communities colonize the gastrointestinal tracts of people and animals. In recent years, culture-dependent technology, molecular ecology, and metabonomics methods have been applied to investigate how the composition of this complex system dictates its function and metabolic activity and how it correlates with host health. This article reviews the recent advances in the study gut microbiota and the relationship between some common metabolic diseases and gut microbiota that have identified in recent years.
Differences in Metabolic Syndrome Prevalence by Employment Type and Sex

Workers may sometimes do the same work, but differ in their risk of health-related problems depending on whether the employment type is standard or non-standard. Furthermore, even with similar job and employment types, there may be differences in risk factors for health-related problems depending on sex. This study aimed to determine the prevalence of metabolic syndrome (MetS) by employment type and sex using data from the Fifth Korean National Health and Nutrition Examination Survey (KNHANES Ⅴ) (2010–2012) and KNHANES Ⅵ (2013–2015) conducted by the Korea Centers for Disease Control and Prevention. Overall, 9523 adult wage workers (5523 standard workers and 4000 non-standard workers) aged ≥ 19 years were analyzed. To determine MetS prevalence odds ratios according to employment type, logistic regression analysis was performed disaggregated by sex. The prevalence of MetS significantly increased with age (p < 0.001), being married (p < 0.05), current smoking status (p < 0.05), and high-risk drinking (p < 0.001) among male subjects. The prevalence of MetS significantly increased among female manual workers (p < 0.001), those with lower educational level and household income (p < 0.001). Non-standard workers of either sex showed higher MetS prevalence than standard workers; only females showed significant difference (p < 0.001). Female non-standard workers showed 1.44, 1.33, and 1.34 (all p < 0.001) times higher odds of MetS prevalence in Models 1, 2, and 3, respectively, compared to standard workers, suggesting a difference in risk factors of MetS according to sex. Also, that employment type affects MetS prevalence suggests that employment pattern is an important risk factor especially in females. Therefore, to manage MetS in female non-standard workers, individual health care as well as social effort may be necessary.