Miracle-dz/UniFAR-FTUs huggingface dataset:
APD (MASKER) COVID-19 UNTUK PENYANDANG DIFABLE

Masker merupakan alat pelindung diri yang penting saat ini, penggunaan masker dapat menekan penyebaran virus COVID-19. Desain masker yang ada tidak dapat digunakan oleh semua orang terutama para difabel. Pengembangan desain masker diperlukan para difabel selain untuk melindungi diri juga memberikan kenyamanan dalam berkomunikasi.Tujuan penulisan artikel ini untuk mengetahui desain, bahan, dan daya pakai masker COVID-19 bagi difabel. Untuk mendapatkan studi literatur ini dilakukan pencarian jurnal tentang desain, bahan, dan daya pakai masker yang baik untuk perlindungan masyarakat dan melindungi dari penyebaran droplet (cairan) yang diperoleh dari Google Scholar, Research Gate, Mendeley, dan PubMed mulai dari tahun 2017 hingga 2020 dan mendapatkan lebih dari 10 jurnal.Hasil studi literature menunjukkan bahwa bahan masker COVID-19 bagi difabel memiliki dua bahan yaitu bahan katun dan bahan mika dengan quilter cotton,desain masker COVID-19 bagi difabel memiliki bagian transparan pada bagian mulut, dan daya pakai masker COVID-19 bagi difabel yang baik memberikan perlindungan terhadap droplet dan kenyamanandalam berkomunikasi.
Corporate Governance Mechanisms and Financial Performance of Listed Oil and Gas Firms in Nigeria: An Empirical Assessment

Financial performance indicates how well an Oil and Gas firms have judiciously utilized the available limited resources in all its operations. In spite of this, evidence have shown that the performance of the Oil and Gas firms in Nigeria have been sliding due to poor Corporate Governance. Several researches and debates on whether Corporate Governance dimensions such as board composition, board size, board gender diversity, audit committee have any influence on the performance of the firms have been carried out but these studies appear not to focus on the effect of Corporate Governance dimensions on financial performance of listed Oil and Gas firms. Hence, this study examined the effect of Corporate Governance dimensions on the financial performance of listed Oil and Gas firms in Nigeria for ten years, 2009 to 2018. The study is underpinned by the stakeholder theory. The study adopted a content analytical approach to obtain data through the corporate website of the respective oil and gas firms and website of the Nigerian Stock Exchange. A total of 12 Oil and Gas firms were selected for the study cutting across three listing classifications of the Oil and Gas firms in Nigeria. The result of the study showed that Corporate Governance had no significant effect on return on assets (Adj.R2= 0.009; F = 0.505; p > 0.05). The result suggests that listed Oil and Gas companies in Nigeria should continue to maintain large board size provided the cost of doing so is not outrageous and ensure that the board always has a mix of persons with requisite skills, knowledge and understanding of business management and the operations of the company. The study also suggest that Oil and Gas firms should anchor on Corporate Governance dimensions for higher and better performance.
Cauchy problem for the ellipsoidal-BGK model of the Boltzmann equation

Ellipsoidal BGK model (ES-BGK) is a generalized version of the original BGK model designed to reproduce the physically correct Prandtl number in the Navier-Stokes limit. In this paper, we study the Cauchy problem for the ES-BGK model under the condition of finite initial mass, energy, and entropy. Equivalence type estimates for the temperature tensor are crucially used.
224-OR: The Efficacy and Safety of HSK 16149 in Chinese with Diabetic Peripheral Neuropathic Pain—A Randomized, Double-Blinded, Placebo and Pregabalin-Controlled Phase II/III Study

Background: Chronic diabetic peripheral neuropathic pain (DPNP) is common and difficult to treat. The recommended medications are either inadequate effective or limited by the side effects. This study aims to evaluate the efficacy and safety of HSK16149, a potent, selective ligand of the a2δ subunit of voltage-gated calcium channels (VGCC), as analgesia treatment for DPNP. Materials and Methods: This was a randomized, double-blind, placebo and active-controlled phase II/III study of patients aged ≥18 years with diabetic peripheral neuropathy in China. Firstly, the patients with moderate to severe pain were randomized to receive placebo, HSK 16149 40,80 mg/d without titration, and HSK16149 120, 160mg/d, pregabalin 300mg/d with 1 week titration on average. Then more patients were recruited and randomized to placebo and two HSK16149 dose groups, continued the treatment for up to 13 weeks. The primary endpoint was the change from baseline in average daily pain score (ADPS) at week 13. The secondary endpoint was the responder rates as ≥30% and ≥50% improvement in ADPS. Results: Compared with placebo, the pain was reduced since week 1 in HSK16149 groups. At week 13, the mean ADPS change from baseline was -1.23, -2.24 and -2.16 for placebo (n=177), HSK 16149 40mg/d (n=178) and 80mg/d (n=179), showing statistical significance for both HSK groups versus placebo (P<0.0001). The 30% and 50% responder rate were both significantly greater for two HSK groups versus placebo (≥30%: 57.3%, 51.4% versus 31.6%; ≥50%: 32.0%, 36.3% versus 18.1%) at week 13. Most treatment-emergent adverse events (TEAE) in HSK16149 groups were mild to moderate, and the most frequent TEAEs were dizziness and somnolence, which were always transient and needed no additional treatment. Conclusions: HSK 16149 rapidly improved analgesia without titration and was efficacious in relieving pain in Chinese DPNP patients, and well tolerated. X.Guo: None. T.Zhang: None. G.Yuan: None. L.Yukun: None. J.Ma: None. L.Hong-mei: None.
Enhancing child safety with accurate fingerprint identification using deep learning technology

Utilizing deep learning algorithms to differentiate the fingerprints of children can greatly enhance their safety. This advanced technology enables precise identification of individual children, facilitating improved monitoring and tracking of their activities and movements. This can effectively prevent abductions and other forms of harm, while also providing a valuable resource for law enforcement and other organizations responsible for safeguarding children. Furthermore, the use of deep learning algorithms minimizes the potential for errors and enhances the overall accuracy of fingerprint recognition. Overall, implementing this technology has immense potential to significantly improve the safety of children in various settings. Our experiments have demonstrated that deep learning significantly enhances the accuracy of fingerprint recognition for children. The model accurately classified fingerprints with an overall accuracy rate of 93%, surpassing traditional fingerprint recognition techniques by a significant margin. Additionally, it correctly identified individual children's fingerprints with an accuracy rate of 89%, showcasing its ability to distinguish between different sets of fingerprints belonging to different children.
Development of a Point-of-Use Drinking Water Purifier Using Aluminum Oxide-Based Flocculent-Disinfectant Composite

One in every three people in the world still lacks access to clean drinking water. Aside from microbiological pollution, high fluoride content in drinking water is one of the most serious problems in African countries. This study aimed to contribute to the availability of clean water by developing a point-of-use drinking water purifier using an aluminum oxide-based flocculent-disinfectant composite. Batch experiments were conducted to determine factors affecting fluoride removal efficiency (FRE) and E. coli log reduction efficiency. AO of 75 mg/L, 800 mg/L alum, lime (35% alum dose), and 1.5 mg/L Ca(OCl)₂ doses achieved 95% FRE and 5 log10 reductions of E. coli using 15 mg/L as initial fluoride concentration ([F−]0), and 105 CFU/100 mL E. coli concentration. [F−]0 affected FRE but showed no effect on E. coli log reduction. The optimum pH of the solution for both FRE and E. coli log reduction was found to be in the range of 4–8. Three prototypes in powder form were developed. The prototypes were tested on real water samples from the Ethiopian Rift Valley, and the results were found to be within the drinking water standards, thus indicating the capability of the developed products to purify contaminated water for human consumption.
A Bootstrapped Kappa Statistic for a Multiple-Rater Multiple-Category Problem

In many research fields, kappa coefficient is a popular tool for measuring the degree of agreement between two or more raters where the raters rate the subjects on a categorical scale. SAS® procedures and macros exist for calculating kappa and its confidence interval. But this is one time calculation. Sometimes there is a need to estimate the precision of this statistic through resampling technique such as bootstrap so as to get a full understanding about its confidence interval. There is no literature so far about calculating kappa confidence intervals using bootstrap resampling methodology in a multiple-rater multiple-category situation. This article just wants to fill this gap using SAS procedure PROC SURVEYSELECT and a macro.
Recent progress of below-threshold harmonic generation

The harmonics generated from the interaction of a strong laser field with atoms and molecules in the gas phase can be applied as coherent light sources and detecting techniques for structures and dynamics in matter. In the last three decades, the most prevailing experimental and theoretical studies have been focused on the high-order harmonic generation due to its applications in attosecond science. However, low-order harmonics near the ionization threshold of the target have been less explored, partially because the spectrum in this region is more complicated from both the theoretical and experimental point of view. After several pioneering investigations in the mid 1990s, near threshold harmonics (NTHs) begun to draw a great attention again because of the development of high repetition rate cavity enhanced harmonics about 10 years ago. Very recently, NTHs have attracted a lot of experimental and theoretical studies due to their potential applications as light sources and complicated mechanisms. In this topical review, we will summarize the progress of NTHs, including the early and recent experimental measurements in atoms and molecules, as well as the relevant theoretical explorations of these harmonics.
Matchings and Tilings in Hypergraphs

We consider two extremal problems in hypergraphs. First, given k ≥ 3 and k-partite k-uniform hypergraphs, as a generalization of graph (k = 2) matchings, we determine the partite minimum codegree threshold for matchings with at most one vertex left in each part, thereby answering a problem asked by Rodl and Rucinski. We further improve the partite minimum codegree conditions to sum of all k partite codegrees, in which case the partite minimum codegree is not necessary large. Second, as a generalization of (hyper)graph matchings, we determine the minimum vertex degree threshold asymptotically for perfect Ka,b,c-tlings in large 3-uniform hypergraphs, where Ka,b,c is any complete 3-partite 3-uniform hypergraphs with each part of size a, b and c. This partially answers a question of Mycroft, who proved an analogous result with respect to codegree for r-uniform hypergraphs for all r ≥ 3. Our proof uses Regularity Lemma, the absorbing method, fractional tiling, and a recent result on shadows for 3-graphs. INDEX WORDS: Absorbing method, Regularity lemma, Hypergraph, Perfect matching, Graph tiling, Graph packing, Minimum degree. MATCHINGS AND TILINGS IN HYPERGRAPHS
Economic efficiency of using digestate from biogas plants in Ukraine when growing agricultural crops
as a way of achieving the goals of the European Green Deal

: This paper presents calculations of the economic indicators of the researched elements of the cultivation technology of corn for grain and vegetable crops in Ukraine, which indicate that the culti-vation of these crops is cost-effective in all variants of the experiment. The research has established that the increase in the economic efficiency of the production of these crops when applying different rates of fertilizers is achieved due to a more significant positive effect of the increase in productivity compared to additional costs associated with the use of these farming practices, while additional costs caused by the use of fertilizers are paid off many times over. It has been proven that the use of mineral fertilizers and
Slope stability analysis based on computed stresses

There are numerous methods currently available for slope stability computations. The majority of these methods may be categorized as the limit equilibrium methods. Due to its inherent simplicity the limit equilibrium technique has almost monopolized the practising engineers' choice. Yet, the accuracy of these methods have all along drawn researchers' attention. Limit equilibrium slope stability analysis is a statically indeterminate problem and various assumptions have been made to remove the statical indeterminacy. Furthermore, many popular methods do not satisfy all conditions of equilibrium. In this paper a study has been carried out to examine the accuracy of limit equilibrium methods by comparing the obtained solution with those obtained using a different approach based on computation of internal stress distribution by finite element analysis. Results indicate that the critical slip surfaces as well as the associated minimum factor of safety values obtained from the two approaches are reasonably close.
Estimating Pose and 3D Shape of Human Faces from Occluding Contours

We propose a method to estimate 3D shape and pose of human heads from a single input contour. For this we optimize parameters of the 3D Morphable Model and a pinhole camera model with respect to image distance and a shape prior. While previous work is based on either pixel intensities of photographs as a feature, or a combination of several features, this work investigates the contour feature in isolation. By employing a method that takes into account the whole contour formation process in every iteration and by operating on a synthetic contour, we can in theory achieve exact results and therefore tackle the interesting question, how much information about shape there is in a single contour. In experiments we show that the pose of a known head is very well defined by a single contour and that our algorithm is able to find a nearly global minimum in most cases, while the shape of an unknown head is only roughly determined by its contour.
LABOR MARKET RIGIDITIES AND OKUN'S LAW ASYMMETRIES FOR LATIN AMERICA DURING THE PERIOD 2000-2018

This paper evaluates the relationship between market rigidity and Okun's law asymmetry, using a sample of six Latin American countries from 2000 to 2018. After econometric processing of the variables, the annual data show that the potential GDP of the six countries is negatively correlated with the unemployment rate. Latin American hiring regulations and the relationship between minimum wage and unemployment are opposite, and there is no explanation on how the significance of unemployment affects these variables, and there is a positive relationship with centralized collective bargaining
From Needs Analysis to the Establishment of a University Vocabulary List for English Majors

This paper concerns the academic vocabulary needs of undergraduate English majors in a tertiary context in Azerbaijan. Based on the results of the previous studies, it is suggested that developing an appropriate course material to meet the specific learning needs of these students will be beneficial for them. Thus, this study aims to identify the percentage of the running words and high-frequency word families beyond the 2,000 most-frequent words in the university textbook corpus to help the students to attain 98% lexical coverage. To address English majors’ scant academic vocabulary knowledge, a University Vocabulary List has been created. First, a university textbook corpus comprising the words used in 11 subject-specific course textbooks across subject areas taught at Azerbaijan University of Languages was compiled. Next, the range and frequency distribution of the words beyond the British National Corpus scale 2,000-word families was examined. Finally, the 396 most frequently occurring word families in the corpus were chosen; these formed the proposed University Vocabulary List for English majors, accounting for a 6.96% lexical coverage. The University Vocabulary List for English majors and the British National Corpus 2,000 high-frequency word families, including proper nouns, provide a text coverage of 97.28%, which is only marginally lower than the suggested lexical threshold of 98% suggested by Laufer and Ravenhorst-Kalovski (2010) and Nation (2006). It is, therefore, argued that the University Vocabulary List represents a sufficiently frequent and relevant vocabulary load for English majors whose secondary educational background and first-year general English textbooks have not equipped them for the linguistic challenges they face at the initial stages of their tertiary education. The article concludes by stating the pedagogical implications for developing these learners’ knowledge and use of the most frequent word families.
Ordinal power relations and social rankings

Several real-life complex systems, like human societies or economic networks, are formed by interacting units characterized by patterns of relationships that may generate a group-based social hierarchy. In this paper, we address the problem of how to rank the individuals with respect to their ability to \in uence" the relative strength of groups in a society. We also analyse the effect of basic properties in the computation of a social ranking within specific classes of (ordinal) coalitional situations.
The Effect of Overnutrition on Mediated Collagen in Drosophila Melanogaster Physiology

Obesity affects approximately 13% of the adult population, resulting in excessive fat cell deposition and metabolic dysfunction. Collagen, a protein that supports skin regeneration, muscle building, and pain relief, is studied in Drosophila melanogaster under different diet conditions. This experiment aims to test whether overnutrition affects physiology and collagen due to any anatomical changes in Drosophila Melanogaster, more commonly known as fruit flies. The research conducted over several weeks utilizes two diets: an obesity-inducing diet containing excessive glucose and coconut oil and a traditional diet of blue food medium, yeast, and water. The study groups include a wild-type, collagen-mutated, and obesity-mutated group, with multiple assays measuring how the obesity-inducing diet affects each population and their collagen levels. The results reveal that the obese group experienced higher food consumption levels but had lower locomotive ability than the other test groups. Hydroxyproline, the building amino acid for collagen, and collagen levels were higher in the obesity mutant than in the wild-type and collagen mutated group. The study shows that anatomical changes in organisms are influenced by both diet and movement. The obesity group, on an obesity-inducing diet, experienced decreased movement related to increased food intake and decreased neural activity. The high-fat and high-sugar diet suppressed neuronal autophagy, created inaccurate hunger and satiety perceptions, and increased collagen deposition. Anatomical changes were observed in collagen-heavy tissue areas, whereas decreased neural activity and increased feeding rates were behavioral changes. The study emphasized the importance of a healthy diet and exercise in promoting overall health.
Explosive Magnetic Reconnection in Double-current Sheet Systems: Ideal versus Resistive Tearing Mode

Magnetic reconnection associated with the tearing instability occurring in double-current sheet systems is investigated within the framework of resistive magnetohydrodynamics (MHD) in a two-dimensional Cartesian geometry. A special emphasis on the existence of fast and explosive phases is taken. First, we extend the recent theory on the ideal tearing mode of a single-current sheet to a double-current layer configuration. A linear stability analysis shows that, in long and thin systems with (length to shear layer thickness) aspect ratios scaling as (SL being the Lundquist number based on the length scale L), tearing modes can develop on a fast Alfvénic timescale in the asymptotic limit . The linear results are confirmed by means of compressible resistive MHD simulations at relatively high SL values (up to ) for different current sheet separations. Moreover, the nonlinear evolution of the ideal double tearing mode (IDTM) exhibits a richer dynamical behavior than its single-tearing counterpart, as a nonlinear explosive growth violently ends up with a disruption when the two current layers interact trough the merging of plasmoids. The final outcome of the system is a relaxation toward a new state, free of magnetic field reversal. The IDTM dynamics is also compared to the resistive double tearing mode dynamics, which develops in similar systems with smaller aspect ratios, , and exhibits an explosive secondary reconnection, following an initial slow resistive growth phase. Finally, our results are used to discuss the flaring activity in astrophysical magnetically dominated plasmas, with a particular emphasis on pulsar systems.
Optimal impulse control for dividend and capital injection with proportional reinsurance and exponential premium principle

ABSTRACT This article supposes that a large insurance company can control its surplus process by reinsurance, paying dividends, or injecting capitals. The exponential premium principle and proportional reinsurance are adopted in business activities. We investigate the general situation that the company needs to pay both proportional and fixed costs for dividends and capital injections. The object of the company is to determine an optimal joint reinsurance–dividend–capital injection strategy for maximizing the expected present value of dividends less capital injections until the time of bankruptcy. In both cases of non cheap and cheap reinsurance, we obtain the explicit solutions for value function and optimal strategy.
Highly Selective Conversion of CH4 to High Value‐Added C1 Oxygenates over Pd Loaded ZnTi‐LDH

The selective oxidation of methane to high value-added liquid oxygenated compounds under mild conditions is of great signiﬁcance to promote the eﬃcient utilization of the carbon source, but it also faces the dilemma of low activity and over-oxidation. Here, ZnTi-layered double hydroxides (LDH)-A200 photocatalysts with Pd loading are prepared to achieve eﬃcient oxidation of methane, with O 2 as an oxidant under ambient condition. The highest generation rate of C 1 liquid products (methanol and formaldehyde) reaches 4924.47 μ mol g − 1 h − 1 with a selectivity close to 100% over 0.5Pd-ZnTi-LDH-A200, which is 20 times higher than that of bare ZnTi-LDH-A200. The photochemical results show that the modiﬁed photocatalysts present much higher generation and separation eﬃciency of electron-hole pairs. In situ X–ray photoelectron spectroscopy indicates that Pd nanoparticles are the hole acceptor, which is beneﬁcial to charge separation in the photocatalysis. Furthermore, electron spinresonance spectroscopy and temperature–programmed–desorption analysis prove that Pd loading is helpful to the adsorption of methane and oxygen on the surface of ZnTi-LDH-A200, promoting the production of reactive oxygen species and activation of methane. All these factors work together to promote the eﬃcient conversion of CH 4 to high value-added C 1 oxygenates.