Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Corporate Governance on Environmental Disclosure and Its Impact on the Financial Performance of Sharia Mining Companies in Indonesia

Mining companies provide a large added value to the economy, but their operational activities also cause a large environmental impact. The balance of the company's relationship with stakeholders including those related to the environment is something that needs to be maintained because it will have an impact on financial performance. Therefore, companies must apply corporate social responsibility (CSR) in particular for environmental aspects and express them. Corporate governance is the determining factor of environmental disclosure. So this research was conducted with the aim of examining the influence of the elements corporate governance which consists of the size of the board of commissioners, the proportion of female commissioners, the proportion of independent commissioners, and the size of the audit committee to environmental disclosure, and its impact on the financial performance of companies in the sharia mining sector. The basis of sharia is considered to be in favor of environmental sustainability. This research is a quantitative study with a sample of sharia mining companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period. The research data is secondary data sourced from annual reports and corporate sustainability reports. Data analysis using SEM-PLS. The results of the study show that the size of the board of commissioners and the proportion of female commissioners have an effect negative to environmental disclosure while the proportion of independent commissioners and the size of the audit committee has no effect on environmental disclosure. Furthermore, environmental disclosure has an effect on financial performance for return on assets (LONG)
High-CRI White Light-Emitting Diodes With Long T50 Lifetime From Perovskite-Inspired CsCu2I3 Halide

Copper(I)-based ternary halide CsCu2I3 has attracted extensive attention in recent years due to its outstanding photophysical properties and great potential in application of high-performance white light-emitting diodes (WLEDs). Herein, we successfully introduced vacuum evaporation to prepare uniform, pinhole-free CsCu2I3 film as the active layer for the <inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula>-GaN/CsCu2I3 heterostructured LEDs. WLEDs, with standard CIE of (0.334, 0.327) and color rendering index (CRI) as high as 93.3, were realized with the help of a thin electron-blocking polymethyl methacrylate interlayer. The WLEDs showed extraordinary stability with operational lifetime (<inline-formula> <tex-math notation="LaTeX">$\text{T}_{{50}}{)}$ </tex-math></inline-formula> as high as 239 h in the open air ambient. Our results provide a feasible way to produce high-CRI WLEDs based on perovskite-Inspired lead-free halides via vacuum evaporation.
CE-BERT: Concise and Efficient BERT-Based Model for Detecting Rumors on Twitter

Detecting rumours on social media requires careful consideration of content and context. Graph-based neural network techniques have been used to explore the contextual features of tweets. However, reliable contextual feature extraction from Twitter is challenging due to its rules and restrictions. BERT-based models extract features directly from tweet content but can be computationally expensive, limiting their practicality. We propose CE-BERT, a concise and efficient model to detect rumours on Twitter using only source text. By reducing the number of BERT parameters, we improved processing speed without sacrificing performance. Our experiments show that CE-BERT outperformed BERT textsubscript BASE and RoBERTa, achieving comparable results to leading graph-based models. CE-BERT is more promising for real-world scenarios due to Twitter’s nature. Our results indicate that CE-BERT is faster, more concise, and more efficient than other advanced models. We hope our research aids in developing practical and effective techniques for detecting rumours on social media.
Perspective Financial Ratios in Assessing the Performance of Stock on Textile Sector Firm Listed on the Indonesia Stock Exchange

Observing the rise in investors in the Indonesian stock exchange, particularly during the Covid 19 pandemic, the author is interested in research on fundamental analysis in assessing stock prices on the Indonesian stock exchange, especially firms in the textile and apparel sectors. This research investigates how financial ratios affect stock values from 2018 to 2020. A total of 16 firms serve as research samples. This research used panel data and was analyzed by a regression test of panel. From the test results, it was found that variables price book value, price earning ratio, quick ratio, return on total assets and total asset turnover has effect on stock price while there was no effect of debt Ratio and rurrent ratio on stock price in garment and textiles sector for 2018-2020.
How have treatment patterns for patients with inflammatory bowel disease changed in Asian countries?

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. 275 gy of IBD, according to the 2019 Global Burden of Diseases, Injuries, and Risk Factors Study, from 1990 to 2019, age-standardized prevalence increased most rapidly in East Asia and high-income Asia-Pacific regions. According to the healthcare costs, van Linschoten et al. assessed the cost of illness of IBD according to each continent including Asia, Europe, North America, and Oceania from 1985 to 2018. The healthcare costs were increasing on all continents, and the cost trend is primarily attributable to an increase in medication costs. Although costs in Asia were lower than in Europe and North America, but no studies from Asia or Oceania were eligible for this analysis at that time period. In summary, it is essential to understand treatment patterns for IBD in Asian countries, because of rapid increase of IBD in Asia due to Westernization, changes in prescription patterns in the West over time, and unique characteristics between the East and the West. The organizing committee of the Asian Organization for Crohn’s and Colitis (AOCC) reported first web-based survey results for the current status of IBD management conducted by 353 Asian medical doctors from Korea, China, Japan, India, Hon Kong, Singapore, Taiwan, Malaysia, Philippines, and Indonesia in the 2nd annual AOCC meeting in 2014. For mild to moderate UC and mild to moderate Crohn’s disease (CD), 5-aminosalicylic acid treatment were common first line therapy in Asian countries. For steroid-refractory acute severe UC, most physicians selected anti-tumor necrosis factor (TNF) agents followed by cyclosporine, on the contrary, Japanese pISSN 1598-9100 • eISSN 2288-1956 https://doi.org/10.5217/ir.2023. 00061 Intest Res 2023;21(3):275-276
SARS-CoV-2 Vaccine Uptake among Patients with Chronic Liver Disease: A Cross-Sectional Analysis in Hebei Province, China

Chronic liver disease (CLD) patients have higher mortality and hospitalization rates after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to explore SARS-CoV-2 vaccine perceptions, side effects, factors associated with nonvaccination and attitudes toward fourth-dose vaccine among CLD patients. The differences between vaccinated and unvaccinated groups among 1491 CLD patients and the risk factors associated with nonvaccination status were analyzed. In total, 1239 CLD patients were immunized against SARS-CoV-2. CLD patients have a high level of trust in the government and clinicians and were likely to follow their recommendations for vaccination. Reasons reported for nonvaccination were mainly concerns about the vaccines affecting their ongoing treatments and the fear of adverse events. However, only 4.84% of patients reported mild side effects. Risk factors influencing nonvaccination included being older in age, having cirrhosis, receiving treatments, having no knowledge of SARS-CoV-2 vaccine considerations and not receiving doctors’ positive advice on vaccination. Furthermore, 20.6% of completely vaccinated participants refused the fourth dose because they were concerned about side effects and believed that the complete vaccine was sufficiently protective. Our study proved that SARS-CoV-2 vaccines were safe for CLD patients. Our findings suggest that governments and health workers should provide more SARS-CoV-2 vaccination information and customize strategies to improve vaccination coverage and enhance vaccine protection among the CLD population.
An entanglement perspective on phase transitions, conventional and topological order

The interplay of the constituents of interacting many-body systems may reveal emergent properties on the macroscopic scale which are not inherent to the individual constituents. These properties are expressed in macroscopic observables describing the state — denoted as the phase of the system. Continuous phase transition between phases are generically manifested in critical behavior, for example, a divergence of a macroscopic observable. The identification of the present phase of a system and the classification of critical phenomena into universality classes are exciting challenges of condensed-matter physics. In this thesis, we use entanglement entropies as macroscopic quantities for the characterization of phases of quantum matter and critical theories. For groundstates of quantum many-body systems the entanglement entropy is a measure of the amount of entanglement between two subsystems. The generic dependence of the entanglement entropy on the size and shape of the subsystems is contained in the well-known boundary law — stating a scaling of the entanglement entropy with the boundary between the two subsystems. We numerically investigate how the coefficient of this dependence reflects quantum phase transitions in simple spin-half bilayer models. Subleading terms to the boundary law such as a logarithmic contribution provide universal numbers for the criticality of field theories. We examine free and interacting theories from an entanglement entropy perspective in order to assess the role of the coefficient of the logarithmic correction induced by corners in the subsystems. Beyond its universality, this coefficient also quantifies degrees of freedom of low-lying excitations in the conformal field theory describing a critical point. A constant contribution to the boundary law indicates the presence of so-called topological order in the ground state of a many-body system. This extremely useful property can also be identified in classical counterparts of entanglement entropy which we study at the example of various toric code models. To this endeavor, we have designed Monte Carlo techniques which allow for an efficient numerical computation of the constant contribution. In particular, we analyze via entanglement entropies under which conditions remnants of topological order are present in the quantum system at finite temperature and at perturbations from a magnetic field. The major motivation behind this effort is to use topological order for the robust storage of a quantum information — a basic need for the construction of quantum computers.
Comparative Analysis of Amino Acid and Biogenic Amine Compositions of Fermented Grape Beverages

Amino acids and biogenic amines are important components of food and beverages. In grape-derived products such as wine and wine vinegar, they can have different origins and can influence the odor and taste of the products. Their concentration is influenced by the grape variety, vintage, and winemaking process. In our study, we carried out an LC-MS-based comparative analysis of 22 grape-derived beverages, including three different wine types and four wine vinegar samples from the Tokaj region in Hungary. The concentrations of 23 amino acids and 10 biogenic amines were examined, and the differences among the sample types were analyzed. The differences in the concentrations of some metabolites between Aszú–Furmint pairs originating from the same wineries and year provide information on the effect of botrytized grape on wine composition. Our data can provide further evidence on how the production process shapes the metabolite content of beverages and highlight the nutritional value of wine vinegar.
The Effect of SMA Fiber Content on the Bending and Self-Recovery Performance of ECC Beams

The addition of superelastic shape memory alloy fibers (SMAF) into engineering cementitious composites (ECC) can create a new type of SMAF-ECC composite material with good self-recovery and energy dissipation performance, which is very suitable for seismic structures. In this study, 10 groups of beam specimens with different volume contents of SMAF were fabricated, and the bending performance, deflection recovery and energy dissipation ability of these beams were studied through three-point bending cyclic loading tests. The failure mode, peak load, load–deflection curve, crack width and other indicators of the specimens were analyzed, and the relationship expression between fiber content and bending strength was established by fitting analysis. The results show that adding SMA fibers can significantly improve the peak load of ECC beams, with a maximum increase of 48.31%. The knotted SMA fibers can fully exert their superelasticity, providing the beam specimens with crack self-closing and deflection recovery ability. When the volume content of SMA fibers is 0–0.6%, the bending strength, energy dissipation ability and deflection recovery ability of the composite material beams increase with the increase in fiber content. When the volume content of SMA fibers is 0.6–1.0%, the above indicators decrease with the increase in fiber content. The suggested equations can well reflect the relationship between fiber content and beam bending strength. The research results of this paper provide theoretical support for the engineering application of SMAF-ECC composite materials.
The Shepherd and the Hunter: A Genomic Comparison of Italian Dog Breeds

Simple Summary Shepherd and hunting dog breeds have distinct physical and behavioural characteristics due to their specialized roles. To understand the genetic basis of these differences, we compared the genomes of various Italian shepherd and hunting dog breeds. Our study involved analysing SNP data from 116 hunting dogs (representing 6 breeds) and 158 shepherd dogs (representing 9 breeds). We examined the genetic makeup, population structure, and relationships of these breeds and compared shepherd and hunting dogs with three complementary techniques. The results clearly showed that there are significant genetic differences between shepherd and hunting dogs. Specific regions of the genome were identified, containing genes associated with domestication, behavioural traits such as aggressiveness and gregariousness, and physical attributes including size, coat colour, and texture. This research provides valuable insights into the genetic factors contributing to the diverse characteristics observed in Italian hunting and shepherd dogs. Further investigation is warranted to explore the implications of these findings for dog health and breeding practices. Abstract Shepherd and hunting dogs have undergone divergent selection for specific tasks, resulting in distinct phenotypic and behavioural differences. Italy is home to numerous recognized and unrecognized breeds of both types, providing an opportunity to compare them genomically. In this study, we analysed SNP data obtained from the CanineHD BeadChip, encompassing 116 hunting dogs (representing 6 breeds) and 158 shepherd dogs (representing 9 breeds). We explored the population structure, genomic background, and phylogenetic relationships among the breeds. To compare the two groups, we employed three complementary methods for selection signature detection: FST, XP-EHH, and ROH. Our results reveal a clear differentiation between shepherd and hunting dogs as well as between gun dogs vs. hounds and guardian vs. herding shepherd dogs. The genomic regions distinguishing these groups harbour several genes associated with domestication and behavioural traits, including gregariousness (WBSRC17) and aggressiveness (CDH12 and HTT). Additionally, genes related to morphology, such as size and coat colour (ASIP and TYRP1) and texture (RSPO2), were identified. This comparative genomic analysis sheds light on the genetic underpinnings of the phenotypic and behavioural variations observed in Italian hunting and shepherd dogs.
Different nodal upstaging rates and prognoses for patients with clinical T1N0M0 lung adenocarcinoma classified according to the presence of solid components in the lung and mediastinal windows

Background Little is known about the correlation between nodal upstaging and pulmonary nodules classified according to the presence of solid components in the lung and mediastinal windows. This study thus aimed to analyze the risk factors of nodal upstaging and prognosis based on different imaging features, clinical characteristics, and pathological results from patients with clinical stage T1N0M0 lung adenocarcinoma. Methods A total of 340 patients between January 2016 and June 2017 were selected from the Affiliated Hospital of Qingdao University database. Imaging features, clinical characteristics, and pathological results were collected for survival and analysis of nodal upstaging risk factors. We used logistic regression models to identify important metastatic risk factors for nodal upstaging. Survival rates were calculated using Kaplan-Meier (KM) survival curves and compared with the log-rank test. Significant prognostic risk factors were identified using the Cox proportional hazards model. Results A total of 340 patients, with an average age of 64.89 (±8.775) years, were enrolled. Among them, nonnodal upstaging occurred both in 77 (22.6%) patients with pure ground-glass nodules (pGGNs) and in 30 (8.8%) patients with heterogenous ground-glass nodules (hGGNs). Compared to the 92 (27.1%) patients with real part-solid nodules (rPSNs), the 141 (41.5%) patients with solid nodules were significantly different in terms of in nodal upstaging (P<0.001). Moreover, preoperative carcinoembryonic antigen (CEA) level >3.4 µg/L [odds ratio (OR): 2.931; 95% confidence interval (CI): 1.511–5.688; P=0.001], imaging tumor size >18.3 mm (OR, 3.482; 95% CI: 1.609–7.535; P=0.002), and consolidation tumor ratio (CTR) >0.788 (OR 8.791; 95% CI: 3.570–21.651; P<0.001) were independent risk factors for nodal upstaging. The KM survival curve results showed that patients with pGGNs and those with hGGNs had a much better 5-year disease-free survival (DFS) and 5-year overall survival (OS) than did those with rPSNs and those with solid nodules (DFS: 98.7% vs. 100% vs. 81.4% vs. 73.7%, P<0.001; OS: 97.4% vs. 100% vs. 90.2% vs. 83.7%, P=0.003). In the multivariate Cox regression analysis of patients with rPSNs and solid nodules, tumor location and pathological lymph node grade were found to be independent risk factors for DFS and OS. Conclusions Patients with pGGNs and those with hGGNs were more likely to be free of nodal upstaging and had better prognosis than did those with clinical stage IA rPSNs and solid nodules. The patients with pGGNs or hGGNs with preoperative CEA level <3.4 µg/L, imaging tumor size <18.3 mm, and CTR <0.788 can choose systematic lymph node sampling (SLNS) or decline lymph node dissection to avoid postoperative complications.
Dynamic output feedback control for stochastic networked control systems based on a periodic event-triggered mechanism

In this paper, the event-triggered dynamic output feedback control for stochastic networked control systems is investigated. The measurement output signal is periodically sampled but aperiodically transmitted. The time-delay system method is utilized to model the stochastic networked control system under the periodic event-triggered mechanism, then the corresponding stability criteria are obtained. Based on the stability criteria, the suitable output-based controller and event-triggered parameters are co-designed. Two air vehicle systems are presented to illustrate the efficiency of the proposed control method.
Evaluating the Predictive Power of Ordination Methods in Ecological Context

When striving for the ordination methods best predicting independently measured site factors, the following questions arise: does the optimal choice depend on the kind of biological community analysed? Are there different ordination methods needed to address different site factors? Simultaneously, I explore alternative similarity approaches of entire ordinations, as well as the role of the transformations applied to the scale used in measuring species performance. The combination of methods and data transformations results in 96 alternative solutions for any one data set. These are compared by a graphical display, that is, an ordination of ordinations. The goodness-of-fit of independently measured site factors is assessed by two alternative methods. The resulting 96 performance values serve as independent variables in trend surfaces overlaid to the ordination of ordinations. The results from two real-world data sets indicate that some ordination methods greatly vary with data transformation. Scores close to a binary scale perform best in almost all ordination methods. Methods that intrinsically constrain the range of species scores, such as principal components analysis based on correlation, correspondence analysis (including its detrended version), nonmetric multidimensional scaling, as well as principal coordinates analysis based on the Bray-Curtis distance, always figure among the most successful methods, irrespective of data used.
Effects of viscosity and conductivity stratification on the linear stability and transient growth within compressible Couette flow

Accurate prediction of laminar to turbulent transition in compressible flows is a challenging task, as it can be affected by a combination of factors. Compressibility causes large variations in thermodynamic as well as transport properties of a gas, which in turn are known to affect flow stability. We study the stratification of individual transport properties and their combined behavior. We also examine the effect of a change in the magnitude of viscosity and conductivity on flow stability. The Couette flow of a perfect gas is our model problem and both modal and non-modal analyses are carried out. We notice a large destabilizing role of the increase in the conductivity value and a dramatic stabilizing effect of mean viscosity stratification, over a range of free-stream Mach number, Reynolds number, Prandtl number, and disturbance wavenumber. In the combined case, viscosity stratification plays a dominant role. We find this to be the case for finite-time transient growth in the parameter regime below lin.