Miracle-dz/UniFAR-FTUs huggingface dataset:
Safe haven investment during turbulent conditions in Indonesia and Philippines capital market

Submitted: 09 March 2020 Revised: 18 April 2020 Accepted: 27 May 2020 Haven investment is a safe and profitable asset for investors during turbulent capital market conditions. Investors tend to divert investment in shares owned to safe-haven assets to secure investment value during the decline in value on the stock market. This study aims to obtain empirical evidence related to the ability of gold as a safe-haven investment in the State of Indonesia and the ability of gold as a safe-haven investment in the Philippines. The data used in this study is a daily return from the period January 1, 2018, to February 20, 2020. Data analysis techniques used in this study use the Augmented DickeyFuller (ADF) stationary test and the quantile regression analysis test with a quintile rate of 50%, 40%, 30%, 20%, and 10%. The results show that gold is a haven investment in Indonesia. Gold is a haven investment in the Philippines.
Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling

Accurate streamflow prediction is essential in reservoir management, flood control, and operation of irrigation networks. In this study, the deterministic and stochastic components of modeling are considered simultaneously. Two nonlinear time series models are developed based on autoregressive conditional heteroscedasticity and self-exciting threshold autoregressive methods integrated with the gene expression programming. The data of four stations from four different rivers from 1971 to 2010 are investigated. For examining the reliability and accuracy of the proposed hybrid models, three evaluation criteria, namely the R2, RMSE, and MAE, and several visual plots were used. Performance comparison of the hybrid models revealed that the accuracy of the SETAR-type models in terms of R2 performed better than the ARCH-type models for Daryan (0.99), Germezigol (0.99), Ligvan (0.97), and Saeedabad (0.98) at the validation stage. Overall, prediction results showed that a combination of the SETAR with the GEP model performs better than ARCH-based GEP models for the prediction of the monthly streamflow. Abbreviations: ADF = Augmented Dickey-Fuller; AIC = Akaike Information Criterion; ANFIS = Adaptive Neuro-Fuzzy Inference System; ANNs = Artificial Neural Networks; AR = Autoregressive Models; ARIMA = Autoregressive Integrated Moving Average; ARCH = Autoregressive Conditional Heteroscedasticity; ATAR = Aggregation Operator Based TAR; BL = Bilinear Models; BNN = Bayesian Neural Network; CEEMD = Complete Ensemble Empirical Mode Decomposition; DDM =Data-Driven Model; GA = Genetic Algorithm; GARCH = Generalized Autoregressive Conditional Heteroscedasticity; GEP = Gene Expression Programming; KNN = K-Nearest Neighbors; KPSS = Kwiatkowski–Phillips–Schmidt–Shin; LMR = Linear and Multilinear Regressions; LR = Likelihood Ratio; LSTAR = Logistic STAR; MAE = Mean Absolute Error; PACF = Partial Autocorrelation Function; PARCH = Partial Autoregressive Conditional Heteroscedasticity; R 2 = Coefficient of Determination; RMSE = Root Mean Square Error; RNNs = Recurrent Neural Networks; SETARMA = Self-Exciting Threshold Autoregressive Moving Average; SETAR = Self-Exciting Threshold Autoregressive; STAR = Smooth Transition AR; SVR = Support Vector Regression; TAR = Threshold Autoregressive; TARMA = Threshold Autoregressive Moving Average; ULB = Urmia Lake Basin; VMD = Variational Mode Decomposition; WT = Wavelet Transforms
Dynamic Peer Groups of Arbitrage Characteristics

We propose an asset pricing factor model constructed with semi-parametric characteristics-based mispricing and factor loading functions. We approximate the unknown functions by B-splines sieve where the number of B-splines coefficients is diverging. We estimate this model and test the existence of the mispricing function by a power enhanced hypothesis test. The enhanced test solves the low power problem caused by diverging B-spline coefficients, with the strengthened power approaches to one asymptotically. We also investigate the structure of mispricing components through Hierarchical K-means Clusterings. We apply our methodology to CRSP (Center for Research in Security Prices) and FRED (Federal Reserve Economic Data) data for the US stock market with one-year rolling windows during 1967-2017. This empirical study shows the presence of mispricing functions in certain time blocks. We also find that distinct clusters of the same characteristics lead to similar arbitrage returns, forming a “peer group” of arbitrage characteristics.
Computerized Accounting Systems: Measuring Structural Characteristics

This study aimed to develop a standard measurement tool for the effective assessment of computerized accounting systems (CAS) quality and effectiveness based on systems theory, in terms of their structural characteristics or functional components. The researcher identified five structural characteristics (components or subsystems) of CAS, namely internal controls, automated data-processing, relational database, automated reporting, and enhancing technologies components. The operationalization of these structural characteristics resulted in a 25-item index that forms the measurement tool developed. The 25-item index was constructed based on the review of prior literature to ensure content validity. The CAS measurement tool was administered to 384 active members of the Institute of Chartered Accountants of Nigeria (ICAN) through an online survey, and 234 useful responses were collected and analyzed to test the validity and reliability of the measurement tool. The researcher assessed the construct validity of the CAS measurement developed using the exploratory factor analysis, and the internal and external reliability using the Cronbach’s alpha test of consistency and test-retest statistics, respectively. The results of the study suggest that the CAS measurement tool developed has strong content and construct validity as well as high internal and external reliability. It is, therefore, believed that the tool would yield valid and reliable results when employed in the assessment of computerized accounting systems. The study is significant as it introduces a new approach to assessing the quality of accounting information systems in terms of their structural characteristics instead of qualitative characteristics such as perceived advantages and ease-of-use of the systems. Further research is suggested to confirm the validity and reliability of the CAS measurement tool presented in this study. Keywords: Accounting information systems, Automated data-processing, Automated reporting, Computerized accounting systems, Enhnacing technologies, Functional components, Internal controls, Relational database, Structural characteristics, Systems theory DOI: 10.7176/RJFA/11-16-05 Publication date: August 31 st 2020
Perfluoroalkylated compounds in whole blood andplasma from the Swedish population

The levels of five perfluoroalkylated (PFA) compounds, PFOS, PFOA, PFHxS, PFOSA andPFNA were determined in whole blood and plasma from 47 males and 36 femalesrepresenting the Swedish population. The analytical method developed and used includessolid-phase extraction and liquid chromatography electrospray masspectrometry. PFOS wasthe PFA found at the highest concentration in whole blood (18.2 pg/ul) followed by PFOSA(4.1 pg/μl), PFOA (2.7 pg/μl), PFHxS (2.3 pg/μl) and PFNA (0.3 pg/μl). Besides the fivecompounds determined, we were able to detect PFHxA, PFDA, PFDS, PFUnDA, PFDoDAand PFTDA in some of the samples/at low concentrations, the only compound included in thisstudy that we did not detect was PFBuS. This shows that the Swedish population are exposedfor a large number of PFAs. The concentrations of PFOS and PFOA correspond to thosefound in USA. The correlation between PFOS and the other compounds was studied in orderto find out if there is a common source of exposure. Only a very week correlation betweenPFOS and PFOA could be seen.
Unraveling the Effects of Ethical Leadership on Knowledge Sharing: The Mediating Roles of Subjective Well-Being and Social Media in the Hotel Industry

Given the pivotal function of ethical leadership (EL) in the hospitality industry, this study explains how moral guidance can help to reduce mental stress. The modern complex and hectic working style of organizations demands ethical conduct, in order to sustain the positive behavior of employees for knowledge sharing (KS). For this reason, in this study, we restrict our awareness to the usage of social media (SM) for social identity and aspects of subjective well-being (SWB) for happiness intensity. The time-lag method is applied for data collection from 406 supervisors and subordinates of the hotel industry in Pakistan. Partial least squares structural equation modeling (PLS-SEM) and bootstrapping are utilized to scan the data. The results of the current study demonstrate that ethical leadership provides motivational strength for knowledge sharing amongst employees. Moreover, the serial mediation effects of subjective well-being and social media boost knowledge sharing by the induction of ethical values. Our findings indicate that knowledge sharing is an important product of subjective well-being and social media. Therefore, we recommend that managers focus on ethical leadership values and employee well-being (e.g., life satisfaction), as well as highlight the individuality of employees to promote knowledge sharing. The presented research adds to the literature by establishing a new connection between ethical leadership and knowledge sharing by opening the black box of contextual (i.e., ethical leadership) and developmental (i.e., subjective well-being and social media) factors.
The first record of a nearly complete choristodere (Reptilia: Diapsida) from the Upper Jurassic of Hebei Province, People’s Republic of China

Choristodera are freshwater aquatic reptiles known from the Middle Jurassic to the Miocene. Their fossil record shows a peak in diversity in the Early Cretaceous of eastern Asia, most notably in the Jehol Biota of China but also in Japan and Mongolia. However, until now, the only Jurassic records from Asia have been rare disarticulated elements from Middle Jurassic microvertebrate sites in Transbaikalian Siberia, with a possible jaw fragment from the Late Jurassic of Xinjiang, China. Here we describe Coeruleodraco jurassicus gen. et sp. nov., a new, fully articulated choristodere skeleton from the Tiaojishan Formation of China, which is considered to be of Late Jurassic (Oxfordian) age. As such, the new specimen represents the first complete Jurassic choristodere recovered worldwide, and also provides important information on the pre-Cretaceous history of the group in eastern Asia. In its proportions and postcranial characters the new taxon resembles previously described Asian taxa such as Philydrosaurus, but it is distinct in possessing several apparently plesiomorphic characters, including a short antorbital region, paired external nares and an open lower temporal fenestra. Phylogenetic analysis places the new choristodere as the sister taxon of a non-neochoristoderan clade comprising Asian and European taxa, whereas the European Jurassic Cteniogenys becomes the sister taxon to all other Choristodera. http://zoobank.org/urn:lsid:zoobank.org:pub:5478E013-CC19-487A-ACC0-021A88633338
Diversity Gain Analysis of Distributed CDD Systems in Non-Identical Fading Channels

This paper investigates the diversity gain of a distributed cyclic delay diversity (dCDD) scheme for cyclic-prefixed single carrier systems in non-identical fading channels. Non-identical small-scale fading is assumed in the environment, in which non-identical line-of-sight and non-line-of-sight fading coexist. A condition for dCDD resulting in intersymbol interference free reception at the receiver, is extended to this new channel environment. For an overpopulated system setup, a generalized performance analysis, is not available from existing works, is conducted after developing closed-form expressions for the distribution of the signal-to-noise ratio (SNR) realized at the receiver. Since the order statistics are involved in the statistical properties of the SNR, the corresponding spacing statistics are utilized to derive feasible closed-form expressions. The finalized closed-form expressions are shown to provide very reliable outage probability and spectral efficiency of dCDD for underpopulated and overpopulated systems. An asymptotic performance analysis verifies the maximum achievable diversity of the dCDD even in the overpopulated case within the considered channel environment. Link-level simulations are conducted and these verify the maximum achievable diversity gain.
Multidrug resistant Pseudomonas aeruginosa from Southwest Nigeria hospitals

Pseudomonas aeruginosa remains one of the most dreaded resistant pathogens mostly encountered in infections worldwide. However; serious infections due to this bacterium are predominantly hospital-acquired. This present study is aimed at investigating the resistance patterns and susceptibilities of P. aeruginosa isolated from hospitals in Southwest Nigeria. A total of 54 unrelated clinical strains of P. aeruginosa isolated from 5 hospitals in Southwest Nigeria comprises of 38.9% isolated from urine, 20.4% from wounds, and 11.1% from pus while the remaining 29.6% were distributed among other clinical sites. Antimicrobial susceptibility testing for 21 antibiotics and minimum inhibitory concentration (MIC) was done by disk diffusion and E-test method respectively. Each isolate was resistant to ≥ 3 classes of antibiotics, 24 (44.44%) were resistant to 4 ̶ 9 antibiotics; 17 (31.48%) were resistant to 10 ̶ 13 antibiotics; 11(20.37%) were resistant to 14 – 16 antibiotics and 2 (3.70%) were resistant to 17 – 19 antibiotics. Thirty (55.55%) isolates were resistant to ≥ 10 antibiotics. High rates of resistance were recorded for ampicillin (100%), tetracycline (100%), amoxicillin/clavulanate acid (100%), ticarcillin/clavulanate acid (87.0%), kanamycin (79.6%), carbenicillin (63.0%) and cefotaxime (46.3%). Highest number of susceptible isolates (98.1%) and (92.6%) were recorded for colistin and imipenem respectively. The highest MIC recorded for cefotaxime, ciprofloxacin, ceftazidime, piperacillin, and amikacin were 30, 240, 240, 240, and 256μg/ml respectively. The resistance profiles observed in this study suggest a prevalence of P. aeruginosa strains harbouring multiple resistance mechanisms in Southwest Nigeria, which could limit available therapeutic options for infections caused by these multidrug resistant strains.
In Silico Approach in Evaluation of Jack Bean (Canavalia ensiformis) Canavalin Protein as Precursors of Bioactive Peptides with Dual Antioxidant and Angiotensin I-Converting Enzyme Inhibitor

Nowadays, there are many lifestyle diseases which cause public health problems worldwide. These diseases include cardiovascular problems, as well as their major factors such as hypertension. Hypertension is one of noncommunicable disease in the world implies the importance of further study of antihypertensive peptides as one of alternative means for hypertension management. On the other hand, the antioxidant is an important compound that also very important to contribute to human health. Jack bean is one of underutilized legume in Indonesia, although it contains high protein. Jack bean tempeh and fried jack bean are two common products using jack bean as a raw material in Indonesia. The protein in jack beans especially globular proteins such as concanavalin A, concanavalin B, and canavalin can be hydrolyzed into several bioactive peptides that can be beneficial for human health. Several functional properties of bioactive peptides are correlated to reduce the potency of hypertension and also as antioxidant. So far, there is a limited investigation using in silico approach for evaluating several potential proteins in jack bean as precursors of bioactive peptides. The purpose of this research is to evaluate several proteins in jack bean as precursors of Angiotensin I-Converting Enzyme (ACE) inhibitory and antioxidant bioactive peptides using in silico approach, and thus to establish the rationale for choosing the appropriate substrates proteins in preparing ACE inhibitory and antioxidant peptides. Based on our pre-preliminary results, we can conclude that specific protein from jack bean, e.g., canavalin has potency as precursors of ACE Inhibitory and antioxidant bioactive peptides using in silico analysis.
Antarctic Marine Biodiversity: Adaptations, Environments and Responses to Change

Animals living in the Southern Ocean have evolved in a singular environment. It shares many of its attributes with the high Arctic, namely low, stable temperatures, the pervading effect of ice in its many forms and extreme seasonality of light and phytobiont productivity. Antarctica is, however, the most isolated continent on Earth and is the only one that lacks a continental shelf connection with another continent. This isolation, along with the many millions of years that these conditions have existed, has produced a fauna that is both diverse, with around 17,000 marine invertebrate species living there, and has the highest proportions of endemic species of any continent. The reasons for this are discussed. The isolation, history and unusual environmental conditions have resulted in the fauna producing a range and scale of adaptations to low temperature and seasonality that are unique. The best known such adaptations include channichthyid icefish that lack haemoglobin and transport oxygen around their bodies only in solution, or the absence, in some species, of what was only 20 years ago termed the universal heat shock response. Other adaptations include large size in some groups, a tendency to produce larger eggs than species at lower latitudes and very long gametogenic cycles, with egg development (vitellogenesis) taking 18–24 months in some species. The rates at which some cellular and physiological processes are conducted appear adapted to, or at least partially compensated for, low temperature such as microtubule assembly in cells, whereas other processes such as locomotion and metabolic rate are not compensated, and whole-animal growth, embryonic development, and limb regeneration in echinoderms proceed at rates even slower than would be predicted by the normal rules governing the effect of temperature on biological processes. This review describes the current state of knowledge on the biodiversity of the Southern Ocean fauna and on the majority of known ecophysiological adaptations of coldblooded marine species to Antarctic conditions. It further evaluates the impacts these adaptations have on capacities to resist, or respond to change in the environment, where resistance to raised temperatures seems poor, whereas exposure to acidified conditions to end-century levels has comparatively little impact.
Evaluation of the microbiome of decaying alder nodules by next generation sequencing.

This work investigated the microbial content of decaying nodules from alders. The 16S rDNA composition of the microbiome of six senescent alder nodules was investigated by 454 sequencing. All nodules still had some Frankia sequences present, but in each case it was only detected at minor levels, with other organisms predominating. Although organisms from three different phyla (Bacteroidetes, Proteobacteria and Actinobacteria) constituted almost all (98% or more) of all sequences, Bacteroidetes were most abundant in four nodules with Proteobacteria being most abundant in the other two. In addition a few families were represented at a level of 10% or more of the total sequences: Sphingobacteriaceae (all 6 nodules); Chitinophagaceae (5 of 6); non-Frankia Actinomycetales (2 of 6); Caulobacteraceae (2 of 6); Flavobacteriaceae (2 of 6); Oxalobacteraceae (1 of 6); and Xanthomoadaceae (1 of 6). Analysis at the genus level showed a diverse range of organisms, with members of the genus Pedobacter being found at an abundant level within most nodules.
Modeling of Interconnected Voltage and Current Controlled Converters With Coupled LC–LCL Filters

Nowadays, more and more converters under voltage control mode with LC filter and current control mode with L/LCL filter are interconnected, forming a more complicated impedance network and resulting in coupled control behaviors. This type of interconnected converter system can be commonly seen in a stand-alone microgrid and some advanced testing benches for power electronics converters. In this article, a system consisting of a voltage-controlled converter with LC filter and a current-controlled converter with LCL filter have been studied. A detailed mathematical model is proposed to describe the stability and coupling characteristics of such system. It is found that the stability problem in this type of configuration may arise in an uncommon way, which is different from the typical resonance in a grid-connected converter system and can be triggered in higher frequency band. Meanwhile, the voltage and current behaviors of interconnected converters are strongly coupled through the complicated filter impedances and control loops in low-frequency band and mid-frequency band.
A Convenient and Chemoselective Acetylation and Formylation of Alcohols and Phenols Using Acetic Acid and Ethyl Formate in the Presence of Bi(III) Salts †

A variety of alcohols are acetylated and formylated efficiently with acetic acid and ethyl formate in the presence of catalytic amounts of Bi(III) salts such as BiCl3, Bi(TFA)3 and Bi(OTf)3. BiCl3 and Bi(OTf)3 are also effective catalysts for acetylation of phenols. All of these catalysts are ineffective in formylation of phenols. Selective acetylation and formylation of alcohols in the presence of phenols is an additional advantage of this procedure.
Trans‐Arctic speciation of Florideophyceae (Rhodophyta) since the opening of the Bering Strait, with consideration of the “species pump” hypothesis

The opening of the Bering Strait initiated significant biotic interchange that is postulated to have played a major role in phylogeographical patterns of northern marine flora and fauna. In addition, the “species pump” hypothesis asserts that glaciation events promoted speciation due to repeated isolation of populations over the past 2.6 million years. Here, trans‐Arctic speciation events in red marine macroalgae (Florideophyceae) were assessed using time‐calibrated phylogenies, and the applicability of the “species pump” hypothesis was considered.
EFFECTS OF SUPER ABSORBENT POLYMER ON THE PHYSIOLOGICAL CHARACTERISTICS AND DROUGHT RESISTANCE OF BERMUDAGRASS [CYNODON DACTYLON (L.) PERS.] SEEDLINGS

Cynodon dactylon (L.) Pers. seedlings was used as test material and applied five SAP concentrations: 0.00%, 0.10%, 0.20%, 0.30%, and 0.40%. The effects of the five SAP treatments on the physiological characteristics of C. dactylon seedlings under two water supply conditions were studied and a comprehensive drought resistance evaluation method was used to analyze and evaluate the drought resistance of C. dactylon. Results: (1) the concentrations of photosynthetic pigments, including Chlorophyll a, Chlorophyll b, and Chlorophyll a+b were all higher than those in the CK group when the SAP concentration was 0.10%–0.30%; (2) The malondialdehyde, superoxide dismutase, peroxidase, and catalase activities in the leaves of C. dactylon treated with SAP were all altered, and the concentrations of MDA were higher than those in the CK group, indicating that applying SAP could minimize the environmental stress experienced by C. dactylon. (3) The addition of SAP could improve the drought resistance of C. dactylon seedlings. Under adequate water conditions, the order of drought resistance of C. dactylon under the five SAP concentrations would be 0.30% > 0.10% > 0.20% > 0.40% > 0.00%, and under limited water conditions, the order would be 0.20% > 0.30% > 0.40% > 0.10% > 0.00%.