Miracle-dz/UniFAR-FTUs huggingface dataset:
Compression and Abstraction Using Graph Based Meaning Representations

Graph-based meaning representations are 001 widely used in NLP, where their abstraction 002 level is determined once by dataset curators. 003 Humans however, often use different levels 004 of abstraction to adjust to different audience 005 traits, like age or expertise. We develop meth-006 ods to automatically adjust the abstraction level 007 of graph based meaning representations to be 008 more abstract or more granular. To get more 009 abstract graphs, we develop an unsupervised 010 pattern-finding and lossless graph-compression 011 algorithm. We use this approach to compress 012 the Process Execution Graph (PEG) dataset, 013 and find semantically meaningful, cognitively-014 plausible patterns, leading to improved pars-015 ing precision (at the cost of recall). Finally, 016 we present a case study for making represen-017 tations of procedural texts more granular . We 018 employ macro expansion to produce a challeng-019 ing text-to-code dataset over the PEG graphs, 020 decomposing predicates into their granular im-021 plementation. Taken together, we hope that 022 this work will spur future research into better-023 suitable abstraction levels for different settings 024 and scenarios. 1 025
Immunogenicity, effectiveness, and safety of SARS-CoV-2 vaccination in people with HIV

Objectives: People with HIV (PWH) experience a greater risk of morbidity and mortality following COVID-19 infection, and poorer immunological responses to several vaccines. We explored existing evidence regarding the immunogenicity, effectiveness, and safety of SARS-CoV-2 vaccines in PWH compared with controls. Methods: We conducted a systematic search of electronic databases from January 2020 until June 2022, in addition to conference databases, to identify studies comparing clinical, immunogenicity, and safety in PWH and controls. We compared results between those with low (<350 cells/μl) and high (>350 cells/μl) CD4+ T-cell counts where possible. We performed a meta-analysis of seroconversion and neutralization responses to calculate a pooled risk ratio as the measure of effect. Results: We identified 30 studies, including four reporting clinical effectiveness, 27 immunogenicity, and 12 reporting safety outcomes. PWH were 3% [risk ratio 0.97, 95% confidence interval (95% CI) 0.95–0.99] less likely to seroconvert and 5% less likely to demonstrate neutralization responses (risk ratio 0.95, 95% CI 0.91–0.99) following a primary vaccine schedule. Having a CD4+ T-cell count less than 350 cells/μl (risk ratio 0.91, 95% CI 0.83–0.99) compared with a CD4+ T-cell count more than 350 cells/μl, and receipt of a non-mRNA vaccine in PWH compared with controls (risk ratio 0.86, 95% CI 0.77–0.96) were associated with reduced seroconversion. Two studies reported worse clinical outcomes in PWH. Conclusion: Although vaccines appear well tolerated in PWH, this group experience poorer immunological responses following vaccination than controls, particularly with non-mRNA vaccines and low CD4+ T-cell counts. PWH should be prioritized for mRNA COVID-19 vaccines, especially PWH with more advanced immunodeficiency.
Stability analysis of total variation type regularization for reconstructing compactly supported nonnegative functions

Minimization of the least squares objective function with well-known primal-dual total variation penalization is aimed to be adopted as a regularization strategy. Assuming to be in a compactly supported domain G ⊂ R , in the presence of some noisy measurement f δ with noise level δ, true information φ must be extracted from the linear ill-posed problem below f δ = Hφ + δ subject to φ(x) ≥ 0, for all x ∈ G, (0.1) where the finite dimensional forward operator H is defined between Hilbert spaces, H : X → Y. To find the target function φ we formulate the following cost functional E α,β(φ) := σ 2 ||Hφ− f ||L2 + αJβ(φ), (0.2) with the positive valued data fidelity term σ to reconstruct the nonnegative real valued function, and we define the positive real valued TV-penalization as Jβ(φ) := ∫ G √ |∇φ(x)|2 + βdx, (0.3) with 0 < β ≪ 1. Thus the solution to the linear operator equation above is the regularized minimizer of the cost functional E α,β(φ). Minimizing total variation type cost functionals can be achieved with different algorithms. As a computationally economic method, lagged diffusivity fixed point iteration is studied to find the minimizer of the total cost functional above. Despite open question on the convergence of the regularized solution, robustness analysis of the particular algorithm is in the focus of this work. Possible options for Lagrangian multiplier for the approximately regularized solution to meet the problem constraint and the choice of the regularization parameter are proposed. Traditional and contemporary questions on the stopping rule are answered. A complete scheme of the algorithm containing the analysis is also available.
Relationship between midfacial fractures and maxillary sinus pathology

Background Midfacial fractures frequently involve the maxillary sinus, leading to maxillary sinus pathology. We aimed to examine the incidence and contributing factors of maxillary sinus pathology in patients who underwent open reduction and internal fixation (ORIF) for midfacial fractures. Methods A retrospective analysis was conducted on patients who underwent ORIF for midfacial fractures at our department over the past 10 years. The incidence of maxillary sinus pathology was identified clinically and/or by computed tomography findings. Factors that significantly influenced the groups with and without maxillary sinus pathology were examined. Results The incidence of maxillary sinus pathology in patients who underwent ORIF for midfacial fractures was found to be 11.27%, with sinusitis being the most common pathology. Maxillary sinus pathology was significantly associated with the presence of a blowout fracture involving both the medial and the inferior orbital walls. Factors such as sex, age, diabetes mellitus, hypertension, smoking, inflammatory disease, follow-up period, use of absorbable plates, and use of titanium plates did not have a significant impact on the development of maxillary sinus pathology. Conclusion The incidence of maxillary sinus pathology in patients who underwent ORIF for midfacial fractures was relatively low, and in most cases, it resolved without the need for specific treatment. Consequently, there may not be a significant need for concern regarding postoperative maxillary sinus pathology.
Link prediction via layer relevance of multiplex networks

In complex networks, the existing link prediction methods primarily focus on the internal structural information derived from single-layer networks. However, the role of interlayer information is hardly recognized in multiplex networks, which provide more diverse structural features than single-layer networks. Actually, the structural properties and functions of one layer can affect that of other layers in multiplex networks. In this paper, the effect of interlayer structural properties on the link prediction performance is investigated in multiplex networks. By utilizing the intralayer and interlayer information, we propose a novel “Node Similarity Index” based on “Layer Relevance” (NSILR) of multiplex network for link prediction. The performance of NSILR index is validated on each layer of seven multiplex networks in real-world systems. Experimental results show that the NSILR index can significantly improve the prediction performance compared with the traditional methods, which only consider the intralayer information. Furthermore, the more relevant the layers are, the higher the performance is enhanced.
Association of TGF-β1 Polymorphism and TGF-β1 Levels With Chronic Hepatitis C and Cirrhosis: A Systematic Review and Meta-Analysis

Despite the extensive research conducted on the relationship between transforming growth factor-beta 1 (TGF-β1) polymorphisms and levels and the onset and development of liver disease, there are still certain gaps that need to be addressed. To address these gaps and provide a comprehensive overview of the current knowledge, this review aimed to identify relevant published research on TGF-β1/TGF-β1 polymorphism, TGF-β1/TGF-β1 levels, and their associations with cirrhosis and hepatitis C. The synthesis of available data was performed to further enhance our understanding in this area. Adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a search strategy was implemented across several online databases to search for relevant articles as per the defined selection criterion. Eight studies were selected after the completion of the search strategy. Of the eight studies, five revealed a considerably high level of TGF-β1 in patients who had hepatitis C virus (HCV) and liver cirrhosis caused by hepatocellular carcinoma (HCC). The forest plot analysis showed a statistically significant impact of TGF-β1 polymorphism and levels on the incidence of hepatic cirrhosis and hepatitis C, with an odds ratio (OR) of 0.65 and a risk ratio (RR) of 0.76. The heterogeneity test showed a high level of heterogeneity at 94% and 95% for OR and RR, respectively, but the overall effect was significant with P < 0.01 for both measures. According to the results obtained, the authors concluded that TGF-β1 polymorphism and its associated levels should be taken into account while developing preventive and therapeutic approaches for hepatic cirrhosis and hepatitis C.
Psychological contract breach and withdrawal behavior: Mediating role of psychological ownership of job and organization in Nepal

Employees cannot benefit more from formal and legal relationships alone, and a framework for addressing their psychological aspects at the workplace is essential. Therefore, this study aims to gauge the direct effect of psychological contract breaches on employee withdrawal behaviors and ownerships and the mediating role of ownerships in the relationship between psychological contract breaches and withdrawal behaviors in Nepal. This study adopted the cross-sectional survey to gather the perceptional data on a 5-point Likert scale from the 701 staff members working in the Nepali travel and tourism business. The hypotheses were tested via the positivist research philosophy and deductive reasoning approach aligning with the social exchange and equity theories. The study used structural equation modeling for data screening and analysis. The current study revealed a positive impact of psychological contract breach on predicting psychological-withdrawal behavior (B = .22, p &lt; .001) and physical-withdrawal behavior (B = .18, p &lt; .001) and a negative impact of psychological contract breach on job-based ownership (B = –.15, p &lt; .001) and organization-based ownership (B = –.19, p &lt; .001). Job-based ownership mediated the relationship between psychological contract breach and psychological-withdrawal behavior (B = .08, p &lt; .001) and between psychological contract breach and physical-withdrawal behavior (B = .06, p &lt; .001). Finally, organization-based ownership mediated the relationship between psychological contract breach and psychological-withdrawal behavior (B = .02, p &lt; .01) and between psychological contract breach and physical-withdrawal behavior (B = .05, p &lt; .001).
Novel Contraharmonic Correlative Attention Loss for Microaneurysm Segmentation in Fundus Images

In this letter, we propose a novel contraharmonic correlative attention loss (C2AL) to segment microaneurysms (MAs) in fundus images, which are the earliest clinical signs of diabetic retinopathy. Our proposed loss function incorporates the correlation between the attention mask and ground truth to enhance microaneurysms (MAs) segmentation. It effectively combines the binary cross-entropy loss that captures the network's deviation on a global scale with MA-aware local attentive context. The formulation of C2AL prevents the attention module from self-mapping without the need for any additional regularization. Extensive experimental evaluations on benchmark fundus image datasets demonstrate that the proposed C2AL-based MA segmentation is superior than the existing methodologies at very low false positive rate.
Prevalence and Epidemiological and Clinical Features of Bacterial Infections in a Large Cohort of Patients Hospitalized for COVID-19 in Southern Italy: A Multicenter Study

Background: The aim of this study was to evaluate the prevalence of bacterial infections and antimicrobial prescriptions in a large cohort of COVID-19 patients and to identify the independent predictors of infection and antibiotic prescription. Methods: All consecutive patients hospitalized for COVID-19 from March 2020 to May 2021 at 1 of the 17 centers participating in the study were included. All subjects showing a clinical presentation consistent with a bacterial infection with microbiological confirmation (documented infection), and/or a procalcitonin value >1 ng/mL (suspected infection) were considered as having a coinfection (if present at admission) or a superinfection (if acquired after at least 48 h of hospital stay). Results: During the study period, of the 1993 patients, 42 (2.1%) presented with a microbiologically documented infection, including 17 coinfections and 25 superinfections, and 267 (13.2%) a suspected infection. A total of 478 subjects (24.5%) received an antibacterial treatment other than macrolides. No independent predictors of confirmed or suspected bacterial infection were identified. On the contrary, being hospitalized during the second wave of the pandemic (OR 1.35, 95% CI 1.18–1.97, p = 0.001), having a SOFA score ≥3 (OR 2.05, 95% CI 1.53–2.75, p < 0.001), a severe or critical disease (OR 1.66, 95% CI 1.24–2.23, p < 0.001), and a high white blood cell count (OR 1.03, 95% CI 1.004–1.06, p = 0.023) were all independently related to having received an antimicrobial prescription. Conclusions: Our study reported a high rate of antimicrobial prescriptions despite a limited number of documented or suspected bacterial infections among the large cohort of hospitalized COVID-19 patients.
Fast Plane Wave Imaging

This paper presents a method for optimizing parameters affecting the image quality in plane wave imaging. More specifically, the number of emissions and steering angles is optimized to attain the best images with the highest frame rate possible. The method is applied to a specific problem, where image quality for a λ-pitch transducer is compared with a λ/2-pitch transducer. Grating lobe artifacts for λ-pitch transducers degrade the contrast in plane wave images, and the impact on frame rate is studied. Field II simulations of plane wave images are made for all combinations of the parameters, and the optimal setup is selected based on Pareto optimality. The optimal setup for a simulated 4.1-MHz λ-pitch transducer uses 61 emissions and a maximum steering angle of 20° for depths from 0 to 60 mm. The achieved lateral full-width at half-maximum (FWHM) is 1. 5λ and the contrast is −29 dB for a scatterer at 9 mm (24λ). Using a λ/2-pitch transducer and only 21 emissions within the same angle range, the image quality is improved in terms of contrast, which is −37 dB. For imaging in regions deeper than 25 mm (66λ), only 21 emissions are optimal for both the transducers, resulting in a −36 dB contrast at 34 mm (90λ). Measurements are performed using the experimental SARUS scanner connected to a λ-pitch and λ/2-pitch transducer. A wire phantom and a tissue mimicking phantom containing anechoic cysts are scanned and show the performance using the optimized sequences for the transducers. FWHM is 1. 6λ and contrast is −25 dB for a wire at 9 mm using the λ-pitch transducer. For the λ/2-pitch transducer, contrast is −29 dB. In vivo scans of the carotid artery of a healthy volunteer show improved contrast and present fewer artifacts, when using the λ/2-pitch transducer compared with the λ-pitch. It is demonstrated with a frame rate, which is three times higher for the λ/2-pitch transducer.
A Bibliometric Analysis of Mandatory Corporate Social Responsibility using RStudio: Based on Scopus Database

Purpose: CSR in India has been the focus of many researchers. This paper aims to map the intellectual structure of mandatory CSR research, identifying influential authors and journals, current and evolving issues, and future research direction. Design/Methodology/Approach: Using the RStudio package, a bibliometric analysis of 130 articles is conducted in mandatory CSR by extracting data from the Scopus database for ten years (2012-2022). Findings: The main results show the first article was published in 2012, and over 85% of articles have been published in the last five years. In 2021, 33 articles were published; in 2022, it published 34 articles, a new peak. The result shows that "Social Responsibility Journal" is the most productive journal, and 2021 is the most productive year; Bhattacharyya A, Kansal M, Rahman ML, and Ray S is the most contributing author. Practical implications: This article is to analyze the prominent trends in the journal concerning papers, authors, institutions, nations, journals, subjects, and keywords. The results of this study will help readers obtain a complete comprehension of the publication. Originality: Since CSR was made mandatory in 2014 in India and other countries, hardly any study has done a bibliometric analysis on mandatory CSR. Limitations: Scopus is the only source of the database used; other databases like the web of science, google scholar, etc., are not considered. The data is available only for ten years; from 2012 to 2022, only the keyword "mandatory CSR" is used for 130 articles
An Approximate Analytical Formulation for the Rise-Time Effect on Dynamic Structural Response Under Column Loss

Dynamic progressive collapse analysis of building structures is usually conducted under sudden column loss conditions. The time length required for disabling the failed column is defined as the rise time. The rise-time effect on the maximum dynamic response of building frames under column loss is investigated in this study. Based on the work-energy principle, an approximate analytical formulation for the maximum dynamic response is derived considering the rise-time effect. The force- and displacement-based dynamic increase factors (DIFs) of a single degree-of-freedom model and a clamped steel beam are used to assess the accuracy and validity of the proposed formulation. Analysis results indicate that the DIFs decrease with increased rise time. Also, the rise-time effect decreases with increased ductility demand. Practical application of the analytical formulation to regular building frames subjected to column loss is illustrated. Primary factors related to the extent of the rise-time effect on the column-loss response are identified for design consideration.
Mixture of linear mixed models Application to repeated data clustering

The problem of finite mixture analysis from repeated data is considered. Data variability is taken into account through linear mixed models leading to a mixture of mixed models. The maximum likelihood estimation of this family of models through the EM algorithm is presented. The problem of selecting a particular mixture of mixed models is considered. Illustrative Monte Carlo experiments are presented and an application to the clustering of gene expression profiles is detailed. All those experiments highlight the interest of linear mixed model mixtur es for taking account of data variability in a proper way.
ChatGPT- Quo Vadis?

© 2023 Indian Dermatology Online Journal | Published by Wolters Kluwer Medknow We have recently seen a boom in scientific publications related to COVID‐19. The next boom seems to be scientific literature related to ChatGPT (Chat Generative Pre‐Trained Transformer). There has been an explosion of scientific articles related to ChatGPT in the last few months. At the time of writing this article, a PubMed search using the term “ChatGPT” generated 341 unique articles.
Stress and Adaptation among Families with HIV/AIDS Persons: A Study in Phuket province, Thailand

Stress and adaptation are challenging for HIV/AIDS persons and their families. What and how does the family and HIV/AIDS person get stress and adaptation? Thus, the descriptive research aimed at exploring stress and adaptation among families with HIV/ AIDS persons in Phuket province, Thailand. The samle was calculated and systematic sampling that consisted of 80 persons (40 HIV/AIDS persons/40 family members). The study tools were developed based on the family resiliency theory which comprised of questionnaires and interview guidelines. The quantitative data was analyzed by descriptive statistics. Content analysis was done for the interviewed data. The result showed that most HIV/AIDS persons and families had stress at the medium level (52.5%, 65%) respectively. Personal adaptation was at a high level (x ̄ = 3.87, SD=0.43), and family adaptation was at a high level (x ̄ =4.17, SD=0.67). The interviewed data displayed the HIV/AIDS persons’ stressors were “being gossiped about. ” For families, the stressor was “seeing a person get sick frequently. ” The family’s vulnerability was poor economic status. They were confused and sad. Their resources comprised only family members and health personnel. They performed healthcare functioning and sought more resources for caring the ill persons. In conclusion, the findings displayed that both families and HIV/AIDS persons were stress. Their stressors were being gossiped about personal illnesses. Most of them were supported by their own families and health personnel. Therefore, the findings should be used to create effective interventions for enhancing personal and family adaptation, especially, increasing resources and supportive system.
Trend Assessment for a CO2 and CH4 Data Series in Northern Spain

The main objective of this paper is to implement different methods to assess the salient features of the data trend for a CO2 and CH4 data series. Said series was obtained at the Low Atmosphere Research Centre (41°48′49″ N, 4°55′59″ W) using a Picarro analyser (G1301). Different functions were employed to determine and quantify the data trend. The first was a harmonic function based on a third-degree polynomial. An increasing trend, below 2.30 ppm year−1 for CO2 and below 11.90 ppb year−1 for CH4, was reported. Epanechnikov, Gaussian, biweight, tricubic, rectangular and triangle kernels, were applied with a 500-day bandwidth for the trend. The best fit was obtained by the biweight kernel (r > 0.20), with an increasing trend around 1.80 ppm year−1 for CO2 and around 7.15 ppb year−1 for CH4. The final analysis, which included local linear regression functions also applying a 500-day bandwidth, revealed increasing trends for both CO2, around 1.98 ppm year−1, and CH4, around 10.85 ppb year−1. Trend values were far more accelerated in the latter years of the series, regardless of the chosen function. This paper demonstrated the usefulness of the mathematical functions, allowing for an accurate determination of the data trend.