Miracle-dz/UniFAR-FTUs huggingface dataset:
The Benefits of Accounting Information On The Intention of Stocks Selections In Indonesia Stock Exchange (IDX)

This research objective is to both examine and provide empirical evidence concerning analysts' decision-making intentions in choosing stocks at the Indonesian stock exchange by using accounting information. This research uses a causalexplanatory approach in examining the analysts' intentions on selecting stocks. This research uses primary data with questionnaire-surveys and adopts single study. In explaining the analysts’ intentions, this research uses a causal-explanatory approach. This research shows that the benefits of accounting information (1) positively affect beliefs revisions; (2) positively affect unsystematic risk perceptions; (3) positively affects the intention of stock selections; (4) positively affect the intention of stock selections; (5) positively affect the intention of stock selections; (6) negatively affects the intention of stock selections; and (7) positively affect the intention of stock selections. Further, this research also finds that securities analysts behaved sophistically in analyzing accounting information for decision-making purposes. Accounting information has characteristics (i.e., relevant, reliable, and fair) that in alignment with the interests of its users. The intention for stock selection is driven by the knowledge and experiences of both the respondents as well as other people. This condition shows that there is a halo effect surrounding the intention for stock selections that come from people that other than respondents (e.g., respondents' colleagues). Therefore, securities analysts tend to act prudence, sophisticated, volitional, and risk neutral.
Orofacial Injuries Patterns in Brazilian Jiu-Jítsu Athletes

To preliminarily investigate the occurrence of orofacial injuries in Brazilian Jiu-Jitsu athletes. Male and female Jiu-Jitsu athletes residing in municipalities scattered throughout Brazil, answered an online questionnaire consisting of 12 closed questions, through the Google Forms platform. The data were analyzed, categorized and presented as percentages. The study sample consisted of 460 subjects. A total of 1,010 injuries were reported, the most prevalent injuries being upper lips 184 (18.2%), lower lips 181 (17.9%) and nose 132 (13.0%). 302 (65.5%) fighters reported no mouthguard use and only 58 (36.5%) reported individualizer mouthguard utilization. Considering orofacial trauma events, 60.4% reported having suffered at least one occurrence related to Jiu-Jitsu, with these injuries being more prevalent during training sessions. The regions with the highest frequency of injuries were upper lips, lower lips and nose. Analyzing the influence of the Jiu-Jitsu practice period and the frequency of injury occurrence, it was observed that traumatic events increase alongside the practice period. Also, only 36.5% use an individualized mouthguard.
Comparative Analysis of Turnover Intentions between Japanese and Foreign-owned Companies in Japan

The purpose of this paper is to examine the factors determining employee’s turnover intention by comparing Japanese firms with foreign-owned firms in Japan. It has been emphasized that human resource management (HRM) of Japanese companies is considerably different from that of foreign companies. HRM of foreign-owned firms in Japan also differs from that of Japanese firms since the former is facing the ‘liability of lateness’ and under the pressures for ‘isomorphism’ across national borders. Assuming that, even in the same labor market, Japanese and foreign-owned firms are isolated from each other with little labor mobility, it is expected that the influencing mechanisms on turnover intention also differ since the actual turnover realizes through changing job to another company via the labor market. In this study, we described a causal model among key constructs that may affect an employee's turnover intention directly or indirectly and conducted a comparative analysis of Japanese and foreign-owned firms using a multiple-group structural equation modeling (SEM). The results showed some similarities between the two groups concerning the mechanisms of turnover intention. At the same time, significant differences were also highlighted in a tendency of each construct, and the influence of job satisfaction and firm-specificity of skills.
Advances in the Study of Antitumour Immunotherapy for Newcastle Disease Virus

This article reviews the preclinical research, clinical application and development of Newcastle disease virus (NDV) in the field of cancer therapy. Based on the distinctive antitumour properties of NDV and its positive interaction with the patient's immune system, this biologic could be considered a major breakthrough in cancer treatment. On one hand, NDV infection creates an inflammatory environment in the tumour microenvironment, which can directly activate NK cells, monocytes, macrophages and dendritic cells and promote the recruitment of immune cells. On the other hand, NDV can induce the upregulation of immune checkpoint molecules, which may break immune tolerance and immune checkpoint blockade resistance. In fact, clinical data have shown that NDV combined with immune checkpoint blockade can effectively enhance the antitumour response, leading to the regression of local tumours and distant tumours when injected, and this effect is further enhanced by targeted manipulation and modification of the NDV genome. At present, recombinant NDV and recombinant NDV combined with immune checkpoint blockers have entered different stages of clinical trials. Based on these studies, further research on NDV is warranted.
An Exploration on Motivations of Listed Firms’ Zero-Debt Behavior in China

Classical capital structure theory holds that firms can promote their value through debt financing. However, in reality, many firms choose zero-debt capital structure, it has become more and more general to avoid debt financing, and the appearing of zero-debt firms have become an international phenomenon. What has motivated firms to avoid debt financing despite of the benefits of it? Using a panel of Chinese A-share listed firms from 2007 to 2015 as the research object, this paper studies the motivations of firms’ zero-debt strategy from several perspectives. The empirical analysis shows that firms may choose to be debt-free due to financial constraints or out of financial flexibility and investment opportunities. Besides, firms with sufficient internal funds tend to be debt-free. Based on the conclusions, we can draw enlightenments of reference value from two aspects: SME financing and financial flexibility of listed firms.
The Role of Hydrodynamic Enhancement on Ignition of Lean Methane-Air Mixtures by Pulsed Nanosecond Discharges for Automotive Engine Applications

ABSTRACT The downsizing and boosting of automotive engines for increased fuel economy poses challenges in both obtaining stable ignition at boosted intake pressures and high dilution conditions. Pulsed nanosecond discharge ignition technologies have shown promise in more reliably igniting dilute charge mixtures in internal combustion engine experiments. However, reasons for this combustion enhancement remain unclear. In this study, we ignited lean methane-air mixtures in a constant volume chamber at 2 bar absolute pressure to evaluate pulsed discharge ignition using a novel electrode geometry. The in-chamber pressure history indicates faster flame development times than those produced by traditional inductive spark. High-speed schlieren imaging reveals a significant hydrodynamic component to the observed enhancement: a more wrinkled flame kernel structure and increased burning rates from increased flame surface area. Increasing the number of pulses increased expulsion of the flame kernel. Our results clarify the enhancement observed by other researchers in internal combustion engine experiments.
Effect of angle of incidence on the performance of bulk heterojunction organic solar cells: A unified optoelectronic analytical framework

We analyze the performance of bulk heterojunction organic solar cells under oblique incidence of light. In this regard, we present an optoelectronic analytical model that describes the current-voltage characteristics of bulk heterojunction organic solar cells taking into account the effect of angle of incidence. A closed-form general expression is derived for the optical generation rate under oblique incidence employing transfer matrix formalism. The resulting expression is then incorporated in the classical drift-diffusion transport and continuity equations of charge carriers to derive a unified expression of voltage dependent current density combining optical and electrical parameters. Thus, the model is capable of determining the accurate optical absorption in the active layer for varying angles of incidence as well as predicting the corresponding wavelength dependent external quantum efficiency of the device. The results are verified by comparing with published numerical and experimental results. We s.
Synthesis of some quinoline-pyrazoline-based naphthalenyl thiazole derivatives and their evaluation as potential antimicrobial agents

Purpose: To prepare and evaluate some quinoline-pyrazoline-based naphthalenyl thiazole derivatives as antimicrobial agents. Methods: Some quinoline-pyrazoline-based naphthalenyl thiazoles ( 5a-5e and 6a-6e ) were prepared by reacting 5-(2-chloroquinolin-3-yl)-3-substitutedphenyl-4,5-dihydro-1H-pyrazole-1-carbothiamides (4a- 4e) with 2-bromo-1-(1-naphthyl)ethanone and 2-bromo-1-(2-naphthyl)ethanone, respectively. Fourier transform infra-red (FTIR), 13 C-Nuclear magnetic resonance ( 13 C-NMR), 1 H-Nuclear magnetic resonance ( 1 H-NMR), elemental analysis, and mass spectrometry were used to elucidate and confirm the chemical structures of the target compounds. Serial plate dilution technique was used to evaluate the antimicrobial activity of the title compounds using ketoconazole and ofloxacin as standards, and their minimum inhibitory concentrations (MIC) were determined. Results: A total of ten compounds, ( 5a-5e ) & ( 6a-6e ) were prepared. Compound 6d (R = 4-F, naphthalen-2-yl derivative) exhibited antimicrobial activities that were higher than those of the standard drug (ofloxacin) against S. aureus (MIC = 25 μg/mL, p < 0.05), S. epidermidis (MIC = 25 μg/mL, p < 0.0001), K. pneumonia (MIC = 25 μg/mL, p < 0.0001), P. vulgaris (MIC = 25 μg/mL, p < 0.0001) and P. citrinum (MIC = 25 μg/mL, p < 0.0001). Compound 5d (R = 4-F, naphthalen-1-yl derivative) displayed higher antifungal activity than ketoconazole against C. albicans (MIC = 25 μg/mL, p <0.0001). Conclusion: The naphthalen-2-yl derivatives (6a-6e) are superior antimicrobial agents as compared to the naphthalen-1-yl derivatives (5a-5e) and the presence of 4-F substituent in 6d and 5d is essential for stronger antimicrobial activity. The compound 6d needs further investigations related to its safety and efficacy. Keywords: Quinoline, Pyrazoline, Thiazole, Antibacterial, Antifungal, Structure-activity relationship
Hydrodynamic and Hydromagnetic Instability in Nanofluids

Thermal instability arises due to a non-uniform temperature distribution in a plane horizontal fluid layer heated from below. As a result the density at the bottom layer becomes lighter than at the top. The upward heat transfer can be achieved by conduction, but do not necessarily undergo convective motion since viscosity and thermal diffusivity of the fluid try to prevent the convective motion. If the fluid is heated sufficiently large then convective motion arises and fluid develops a regular pattern of convection cells. Recently, there has been significant interest in nanofluids, due to the need of heat transfer enhancement in a variety of applications in industrial, commercial, residential and transportation sectors. The aim of the present work is to investigate the effects due to rotation, magnetic field, porous medium, constant internal heat source and when the base fluid is a binary mixture on the thermal instability in nanofluids with different boundary conditions. The stability analysis is carried out for three different types of boundary conditions namely, (i) both boundaries free, (ii) both boundaries rigid and (iii) lower boundary is rigid and upper boundary is free.
Indicators of mastitis and milk quality in dairy cows Data , modeling , and prediction in automatic milking systems

Methods for generating predictions of important and generally accepted indicators of udder inflammation and poor milk quality, such as somatic cell count (SCC) or changes in milk homogeneity, are few. The aim of this thesis was to investigate methods to identify indicators of mastitis and poor milk quality in dairy cows using data generated by automatic milking systems (AMS). The first part of the project investigated the relationship between SCC and data regularly recorded by the AMS using models that could capture nonlinear associations between the explanatory variables and the outcome. This information could be used in modeling the SCC. Furthermore, three statistical methods, generalized additive model, random forest and multilayer perceptron, were compared for their ability to predict SCC using data generated by the AMS. The results showed that equally low prediction error was obtained using generalized additive model or multilayer perceptron for prediction of SCC based on AMS data. The second part explored the dynamics of changes in milk homogeneity in cows milked in AMS using descriptive statistics for clots collected by inline filters, scored for density. Clots were found among certain cows and cow periods and appeared in new quarters over time. Models were fitted for detecting and predicting clots in single cow milkings as well as for detecting clots in milkings over a longer period. The models successfully distinguished periods of milking free of changes in milk homogeneity, although the detection and prediction performance was poor. The prediction target and severity grade of each density category is discussed.
Diversifier , Hedge and Safe Heaven Properties of Cryptocurrencies : The Case Against 1 Asian

3 4 5 6 7 8 9 ABSTRACT 10 This paper adds evidence to the scant literature on the hedge and safe haven properties of 11 cryptocurrencies against fiat currencies. These properties are examined using MGARCH-DCC 12 method which is applied on daily data of 6 major cryptocurrencies against 10 Asian fiat 13 currencies over the period from 30 December 2013 until 28 June 2019. The empirical results 14 indicate that the role of a hedge is limited to the Hong Kong Dollar and Taiwan Dollar in the 15 case of Bitcoin but prominent in Ripple, Monero and Stellar. Meanwhile, a safe haven is 16 apparently a common property for all analysed cryptocurrencies. Overall, these major 17 cryptocurrencies are potential gateways for a capital flight when Asian foreign exchange 18 markets are under extreme distress. 19
A Study of Catalytic Performance of Co3O4 and Cu-Co Nano Metal Oxides in Combustion of Aromatics

Two Cu-Co and Co3O4 oxides were synthesized by the conventional sol-gel auto-combustion and their physical-chemical properties were characterized by XRD, FTIR, SEM, TPR and XPS. The XRD results indicated that copper-cobalt oxide appeared in a mixture form of Cu0.15Co2. 85O4 spinel and CuO phases, whereas the cobalt oxide exhibited in the pure form of Co3O4 spinel. The FTIR approved the formation of the spinel structure in the both samples. The SEM results showed that both oxides are as nanoparticles. Application of the same synthesis conditions for both samples let to obtain samples with different purity. The results of temperature program reduction (TPR) revealed that Cu-Co nano oxide is more reducible at lower temperatures. The copper-cobalt oxide exhibited the higher activity that the Co3O4 in catalytic combustion of toluene, which is explained by its higher reducibility at the reaction conditions and by a possible synergistic effect between Cu-Co oxide and CuO particles.
Molecular dynamics simulation of the nanofibrils formed by amyloid-based peptide amphiphiles

Abstract Atomistic molecular dynamics simulations have been performed on the peptide amphiphiles (PAs) with four amyloid beta peptide fragments as head groups. The stable structures were monitored by the root mean square deviation with respect to the energy minimised initial structures. Random coil and β-sheet structures with hydrogen bonds along and perpendicular to the long axis of the nanofibre were obtained due to the different nature of the head groups. Influences of pH and capping ends on the nanofibre structures were investigated through variation of the protonation states of the ionic amino acids in the peptides. The peptides with opposite charges on both sides were found to have the fewest β-sheet structures, and the charges on the outer terminal tended to destruct the β-sheets while those at the inner side did not. The isolated charge in the centre of peptides was found to be able to promote the formation of regular β-sheets, while multiple charged residues could not support ordered β-sheet structures. When charge neutralisation occurred between adjacent residues, regular β-sheet laminates might also occur for systems with charges at the outer terminal. With the increase of β-sheet structures formed, the original twisted structures found for random coil structures of the PAs could be diminished by the hydrogen bonds.
Cutoff for permuted Markov chains

Let $P$ be a bistochastic matrix of size $n$, and let $\Pi$ be a permutation matrix of size $n$. In this paper, we are interested in the mixing time of the Markov chain whose transition matrix is given by $Q=P\Pi$. In other words, the chain alternates between random steps governed by $P$ and deterministic steps governed by $\Pi$. We show that if the permutation $\Pi$ is chosen uniformly at random, then under mild assumptions on $P$, with high probability, the chain $Q$ exhibits cutoff at time $\frac{\log n}{\mathbf{h}}$, where $\mathbf{h}$ is the entropic rate of $P$. Moreover, for deterministic permutations, we improve the upper bound on the mixing time obtained by Chatterjee and Diaconis (2020).
Binary pathways to SLSNe-I: SN 2017gci

Some hydrogen poor superluminous supernovae (SLSNe) exhibit bumps in the tails of their light-curves associated with hydrogen features in their late time spectra. Here we use the explosion parameters of one such SLSN -- SN 2017gci -- to search the stellar models of the Binary Population And Spectral Synthesis (BPASS) code for potential progenitors. We find good matches for a 30 $M_{\odot}$ progenitor star in a binary system and no matches from single star models. Common envelope and mass transfer after the giant branch, combined with increased mass loss from strong stellar winds immediately before death, allow the progenitor to lose its hydrogen envelope decades before the explosion. This results in a hydrogen poor SLSN and allows for delayed interaction of the ejecta with the lost stellar material
PD Operads and Explicit Partition Lie Algebras

Infinitesimal deformations are governed by partition Lie algebras. In characteristic $0$, these higher categorical structures are modelled by differential graded Lie algebras, but in characteristic $p$, they are more subtle. We give explicit models for partition Lie algebras over general coherent rings, both in the setting of spectral and derived algebraic geometry. For the spectral case, we refine operadic Koszul duality to a functor from operads to divided power operads, by taking refined linear duals of $\Sigma_n$-representations. The derived case requires a further refinement of Koszul duality to a more genuine setting.
Strategic Information Revelation in Crowdsourcing Systems Without Verification

We study a crowdsourcing problem where the platform aims to incentivize distributed workers to provide high-quality and truthful solutions without the ability to verify the solutions. While most prior work assumes that the platform and workers have symmetric information, we study an asymmetric information scenario where the platform has informational advantages. Specifically, the platform knows more information regarding workers’ average solution accuracy, and can strategically reveal such information to workers. Workers will utilize the announced information to determine the likelihood that they obtain a reward if exerting effort on the task. We study two types of workers: (1) naive workers who fully trust the announcement, and (2) strategic workers who update prior belief based on the announcement. For naive workers, we show that the platform should always announce a high average accuracy to maximize its payoff. However, this is not always optimal for strategic workers, as it may reduce the credibility of the platform’s announcement and hence reduce the platform’s payoff. Interestingly, the platform may have an incentive to even announce an average accuracy lower than the actual value when facing strategic workers. Another counter-intuitive result is that the platform’s payoff may decrease in the number of high-accuracy workers.
Observational signatures of eccentric Jupiters inside gas cavities in protoplanetary discs

Predicting how a young planet shapes the gas and dust emission of its parent disc is key to constraining the presence of unseen planets in protoplanetary disc observations. We investigate the case of a 2 Jupiter mass planet that becomes eccentric after migrating into a low-density gas cavity in its parent disc. Two-dimensional hydrodynamical simulations are performed and post-processed by three-dimensional radiative transfer calculations. In our disc model, the planet eccentricity reaches ∼0.25, which induces strong asymmetries in the gas density inside the cavity. These asymmetries are enhanced by photodissociation and form large-scale asymmetries in 12CO J=3→2 integrated intensity maps. They are shown to be detectable for an angular resolution and a noise level similar to those achieved in ALMA observations. Furthermore, the planet eccentricity renders the gas inside the cavity eccentric, which manifests as a narrowing, stretching and twisting of iso-velocity contours in velocity maps of 12CO J=3→2. The planet eccentricity does not, however, give rise to detectable signatures in 13CO and C18O J=3→2 inside the cavity because of low column densities. Outside the cavity, the gas maintains near-circular orbits, and the vertically extended optically thick CO emission displays a four-lobed pattern in integrated intensity maps for disc inclinations & 30◦. The lack of large and small dust inside the cavity in our model further implies that synthetic images of the continuum emission in the sub-millimetre, and of polarized scattered light in the nearinfrared, do not show significant differences when the planet is eccentric or still circular inside the cavity.
Congruence Relations for B\"uchi Automata

We revisit congruence relations for B¨uchi automata, which play a central role in the automata-based formal veriﬁcation. The size of the classical congruence relation is in 3 O ( n 2 ) , where n is the number of states of a given B¨uchi automaton A . We present improved congruence relations that can be exponentially coarser than the classical one. We further give asymptotically optimal congruence relations of size 2 O ( n log n ) . Based on these optimal congruence relations, we obtain an optimal translation from B¨uchi automata to a family of deterministic ﬁnite automata (FDFW) that accepts the complementary language. To the best of our knowledge, our construction is the ﬁrst direct and optimal translation from B¨uchi automata to FDFWs.