Miracle-dz/UniFAR-FTUs huggingface dataset:
Antecedents of company secretaries’ behaviour and their relationship and effect on intended whistleblowing

This study aims to examine the antecedents of company secretaries’ behaviour and their relationship and effect on intended whistleblowing with the role of neutralisation as a moderating factor on an individual’s ethical decision-making in whistleblowing. ,Using a modified version of the theory of planned behaviour as a framework and a quantitative research approach, a Likert-type scaled, self-administered questionnaire was conducted on a non-probability sample, totalling 208 company secretaries, currently working for various consultancy, audit and secretarial firms in Malaysia. The data obtained were analysed through structural equation modelling. ,Findings indicated that attitude, subjective norm, perceived behavioural control, ethical obligation as well as self-identity were found to be predictors in a company secretary’s intended behaviour to whistle-blow. However, neutralisation was proved not to be a contributing factor in whistleblowing between intention and behaviour. ,The quantitative measures of intention and behaviour are incompatible based on their levels of specificity or generality. Also, there may be an existence of social desirability bias among the respondents, indicating the need for a wider sample. ,The study offers valuable knowledge by providing organisations and regulators with several insights into improving the company secretaries’ whistleblowing behaviour, including the need to strengthen whistleblowers’ support and alleged malpractice investigation and analysis systems. It also enables company directors and regulators to implement whistleblowing policies as an internal control mechanism, thus realising an individual’s intention to highly engage in whistleblowing. ,To the best of the authors’ knowledge, this study represents the first research that has empirically tested the relationship and effect of antecedents of company secretaries’ whistleblowing intention and behaviour using a modified version of the theory of planned behaviour, thus adding to the stock of literature on this topic and showing that “neutralisation” had an insignificant effect on the possibility of fraudulent reporting.
Utilizing Strategic Management Accounting Techniques in Iranian Firms

The main objective of this article is to describe and explain the utilization of Strategic Management Accounting Techniques (SMATs) in Iranian various firms. For this, a survey was carried out using questionnaires provided for the seventy-five Chief Executive Officers in productive and services firms. Data gathered from respondents about the usage rate of SMATs based on the five-point Likert scale. The findings show that the usage rate of SMATs is different in the strategic management of quality, business, market, and competitors. The results suggest that all approximately major of SMATs has used in the different firms, while the strategic tools such as market segment analysis, product profitability analysis, competitors’ analysis, customers’ profitability analysis, R&D and MRP and a few other techniques are widely known among firms. Also, the use of these tools and techniques are not the same among the firms operating in various industries and having different size and ownership. As a result, there were identified hidden reserves for wider dissemination of Strategic management accounting in practice. The research disclosed that strategic management accounting could be assessed company-wide, seeking to find an optimal configuration of the local management accounting system from Technical - managerial view.
Ecology of neotropical mistletoes: an important canopy-dwelling component of Brazilian ecosystems

Ervas-de-passarinho tem sim sido regularmente estudadas em paises temperados por afetar negativamente especies cultivadas e florestas manejadas. Em comparacao com ambientes temperados pouco se conhece sobre a ecologia das ervas-de-passarinho neotropicais. Desta forma, e necessario maior conhecimento sobre o grupo porque sao importantes elementos de comunidades vegetais, atuando como recurso-chave para polinizadores, dispersores de sementes e herbivoros. Atraves de uma combinacao de trabalhos classicos ja publicados com evidencias empiricas recentes, nos apresentamos padroes emergentes da interacao entre ervas-de-passarinho com os organismos associados e questionamentos para estudos adicionais. Existe um crescente interesse neste grupo no Brasil. E embora existam informacoes sobre dispersao de sementes, estudos sobre biologia reprodutiva sao raros e representam um campo a ser explorado. O conhecimento da biologia basica das ervas-de-passarinho sera relevante para modelar sua distribuicao espacial usando uma abordagem metapopulacional ou epidemiologica. Nesta revisao nos sumarizamos os principais estudos conduzidos na regiao Neotropical para fornecer um panorama atual das pesquisas desenvolvidas, bem como novas ideias para futuras investigacoes, especialmente no Brasil.
Introducing local wisdom by numbering and reading

Numeracy literacy deals with the application of mathematical concepts in daili life. In this study, the worksheets are desgned to present mathematical concepts in daily life by using story problem. Students are presumed to be able to solve story problem if they can understand the meaning of the problem. Thus, students can find problem that need to be solved in the right way. This study aims to investigate the correlation between mathematical understanding skill with reading comprehension skill of elementary school students. The study implemented the correlation method by involving fourth grades students in two elementary schools. Data collection techniques used technical tests, then the data was analyzed by pearson-correlation test. The result of the study shows that there is correlation between mathematical understanding and reading comprehension skill of elementary school students. The students are not only to understand mathematical concept and gain reading comprehension skill but also know about Indonesian local wisdom. This is due to the concept of story problems which integrated with local wisdom.
Rangeland Health Assessment: A Useful Tool for Linking Range Management and Grassland Bird Conservation?

Abstract Large-scale loss and degradation of North American native prairie coupled with sharp declines in grassland bird populations call for a clear understanding of the effects of livestock production on bird habitat selection. Grassland birds typically select breeding habitat based on a suite of structural and community vegetation features shaped by grazing. Rangeland health indices are a tool for assessing grassland structure and community composition that may offer biologists and range managers common language to achieve grassland bird recovery goals. We used point-count surveys, vegetation measures, and indices of rangeland health to examine bird-habitat relationships on native grassland in southwestern Saskatchewan for 10 grassland bird species. We used an information theoretic approach to compare the support of three hypotheses explaining variation in bird abundance as a function of local vegetation characteristics: bird abundance is best explained by 1) vegetation structure, 2) vegetation structure heterogeneity, or 3) plant community. Vegetation structure variables were present in top-ranking models (i.e., models within four Akaike information criterion units of top model) for eight species and solely comprised top-ranking models for Baird's sparrow (Ammodramus bairdii), chestnut-collared longspur (Calcarius ornatus), horned lark (Eremophila alpestris), McCown's longspur (Rhynchophanes mccownii), and savannah sparrow (Passerculus sandwichensis). Structural heterogeneity variables were present in top-ranked models for grasshopper sparrow (Ammodramus savannarum), horned lark (Eremophila alpestris), and western meadowlark (Sturnella neglecta). Plant composition variables solely comprised top-ranking models for clay-colored sparrow (Spizella pallida) and were present in top-ranked models for grasshopper sparrow and vesper sparrow (Pooecetes gramineus). Our results indicate that vegetation structure variables, namely litter mass, vegetation volume, and bare ground cover, best explain variation in bird abundance. Although the rangeland health index received little support as a predictor of bird abundance, vegetation structure components of the index could be used to communicate grazing management guidelines that maintain grassland bird habitat.
Home range and habitat associations of a Bahamian iguana: implications for conservation

The Bahamian Andros iguana (Cyclura cychlura cychlura) is an endangered lizard threatened by habitat loss, illegal hunting, impacts from historic large‐scale logging practices and predation by feral animals (e.g. cats, dogs and hogs). There is interest by local and national conservation organisations to demarcate protected areas for the iguana in the southern portion of its range. However, no life history information is available for the lizard. In order to provide data that can be applied in a science‐based management strategy for the Andros iguana, we investigated seasonal variation in home‐range size and habitat selection of the iguana using radio telemetry. Home ranges were the largest reported to date for free‐ranging Cyclura iguanas (Fixed 95% Kernel maximums: 30.58 ha for males, 5.63 ha for females). Habitat selection using the Euclidean Distance method revealed that open pine was the only habitat type out of four where iguanas occurred more than expected by chance. However, the pair‐wise comparisons of habitat types reveal that iguanas were found significantly closer to open pine and shrubland than to closed pine. We failed to uncover selection of cumulative home‐range placement throughout our multi‐habitat study areas. Conservation implications of the dynamic seasonal home‐range fluctuations and habitat usage are discussed and recommendations are offered for establishing protected areas.
Survival, movements and habitat use of captive‐bred and reintroduced dusky gopher frogs

Despite the growing roles of assisted reproduction and captive breeding in reintroductions, we have a limited understanding of the viability of these animals once released. We radiotracked endangered dusky gopher frogs Lithobates sevosus for up to 24 days after they were released into the wild to (1) assess the viability of juvenile frogs produced using artificial fertilization and raised in captivity until four weeks post‐metamorphosis, (2) investigate survival rates, movement patterns, and habitat use and (3) examine whether it is more beneficial to release frogs at the pond edge or into burrows in the uplands. Released frogs had a relatively high survival rate (76% overall, with mortality ceasing after 14 days) and behaved as expected, moving fairly long distances (up to 153 m daily and 426 m total) and locating suitable shelters, including burrows and stump holes. Frogs that sheltered underground had a 22% higher survival rate than frogs that did not, highlighting the importance of these habitat features. Compared to frogs released into burrows, frogs released at the pond had a 33% lower survival rate, spent less time underground and moved farther and more often, likely while searching for shelter. Frogs selected habitat characteristics that are associated with effects of fire, including an open canopy and abundant ground vegetation. Our study demonstrates that juvenile dusky gopher frogs successfully transitioned to their natural habitat, and that any effects of artificial fertilization or captivity on juvenile viability appear to be minimal. Releasing frogs into areas with abundant underground refuges and using frequent prescribed fire to maintain the habitat should benefit dusky gopher frog populations and improve the success of reintroductions.
Attentional biases in low-risk and high-risk gamblers and the moderating effect of daily psychosocial stress

Abstract Background and aims Psychosocial stress is associated with gambling urges and behavior. A large body of evidence also indicates that individuals who are at risk for disordered gambling are susceptible to attentional biases for gambling-related stimuli. Yet the extent to which psychosocial stress moderates these biases has not been fully investigated. The present study examined the effect of psychosocial stress on attentional biases for gambling stimuli in regular gamblers. Methods The sample was 87 undergraduate students who were categorized according to gambling severity scores (no-risk, low-risk, moderate/high-risk). Participants viewed pairs of gambling-related and neutral images for 8 s while their eye movements were tracked and recorded to measure their attention to the images. Results Each group exhibited a unique pattern of attending to the images over the 8-s presentations. As predicted, the moderate/high-risk group exhibited an attentional bias for gambling-related images that sustained throughout the 8-s presentations. Psychosocial stress was found to moderate attentional biases only for the low-risk group. Conclusions Psychosocial stress appears to influence attention toward gambling images only for low-risk gamblers. Our findings suggest that addressing underlying causes of stress in gamblers may be an effective method for reducing attentional biases to gambling stimuli and gambling problems and behaviors.
The influence of enzymatic treatment of mash on the analytical composition of apple juice

Five apple juices were produced on a pilot scale by crushing the fruit, treating the mash with pectolytic enzymes, pressing, extracting water from the pomace, pasteurization, treatment of the juice with enzymes, combined gelatin/silica sol fining and final ultrafiltration. The temperature of the mash treatment was either ambient or one of 30, 40, 50 or 60 degrees C, in order to test whether this led to different compositional changes in the corresponding juices. The main emphasis was put on detection of D-galacturonic acid as the indicator substance for the extent of the enzymatic treatment. In the pasteurized raw juices after pressing we found values from 226 to 398 mg L(-1). A distinct increase of the galacturonic acid levels could be observed during the clarification steps. Enzymatic juice treatment raised the concentrations to 580-720 mg L(-1). After ultrafiltration, final values of 790-1100 mg L(-1) were measured. Generally, the highest values were found in the 50 degrees C sample, which is the optimum temperature for pectinase activity. This was also true for the colloid concentrations and polyphenols. The influence of the temperature of the enzymatic mash treatment on other characteristic juice parameters like total titratable acidity, density, sugar, and minerals concentrations was low.
Personality and career decision-making self-efficacy of students from poor rural areas in China

We examined the correlations between personality and career decision-making self-efficacy (CDMSE) of university students from poor rural areas in China from an educational equity perspective. The results showed that female (vs. male) students were more neurotic, senior (vs. younger) students were more agreeable, and social science students were more neurotic than those in other disciplines. The results also revealed that differences in the total CDMSE were nonsignificant, but there was a gender difference in accurate self-appraisal and a difference by year of study in gathering information. There was a positive correlation between conscientiousness, agreeableness, openness, and extraversion, and CDMSE, and a negative correlation between neuroticism and CDMSE. The 5 personality traits, except for agreeableness, played a crucial role in predicting CDMSE. The results suggest that officials and staff of governments, universities, and industries should work together to develop proactive personality traits of students from poor rural areas in China, facilitate their CDMSE, and help them achieve their employment aspirations, thereby promoting educational equity.
Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

Traffic flow prediction plays an important role in ITS (Intelligent Transportation System). This task is challenging due to the complex spatial and temporal correlations (e.g., the constraints of road network and the law of dynamic change with time). Existing work tried to solve this problem by exploiting a variety of spatiotemporal models. However, we observe that more semantic pair-wise correlations among possibly distant roads are also critical for traffic flow prediction. To jointly model the spatial, temporal, semantic correlations with various global features in the road network, this paper proposes T-MGCN (Temporal Multi-Graph Convolutional Network), a deep learning framework for traffic flow prediction. First, we identify several kinds of semantic correlations, and encode the non-Euclidean spatial correlations and heterogeneous semantic correlations among roads into multiple graphs. These correlations are then modeled by a multi-graph convolutional network. Second, a recurrent neural network is utilized to learn dynamic patterns of traffic flow to capture the temporal correlations. Third, a fully connected neural network is utilized to fuse the spatiotemporal correlations with global features. We evaluate T-MGCN on two real-world traffic datasets and observe improvement by approximately 3% to 6% as compared to the state-of-the-art baseline.
Genetic diversity in ecotypes of the scarce wild medicinal crop Zingiber moran revealed by ISSR and AFLP marker analysis and chromosome number assessment

Zingiber moran, a rare ginger found only in a few parts of northeast India, faces the threat of extinction due to its exploitation as an important medicinal plant. In this study, the chromosome number of wild ecotypes of Z. moran was determined and the genetic analysis was carried out using two kinds of molecular markers: inter simple sequence repeats (ISSR) and amplified fragment length polymorphism (AFLP). A chromosome number of 2n = 22 was confirmed for all 10 ecotypes investigated. AFLP analysis revealed a greater amount of genetic polymorphism (95.06%), with a strong resolving power in detecting intraspecific variation, compared to ISSR analysis (34.61%). Genetic diversity parameters, such as number of observed alleles (na), mean number of effective alleles (ne), mean Nei's gene diversity index (h), and Shannon index (I) for ISSR and AFLP were in the range 1.34–1.95, 1.25–1.60, 1.44–0.33, and 0.20–0.49, respectively. Marker indices and polymorphic information content varied from 0.5–19.3 and 0.03–0.27 for ISSR, and 28.2–39 and 0.3–0.39 for AFLP, respectively. Dendrograms derived by unweighted pair group method of arithmetic averages cluster analysis based on molecular data classified the ecotypes into two major clusters. The Mantel test cophenetic correlation coefficient (r) for ISSR (0.85) and AFLP (0.91) showed a good degree of confidence in the association with 10 ecotypes. Clustering was further supported by principle component analysis which demarcated individuals of hilly topography from the ones of plain land.
Mathematical Modelling of Blanch-Assisted Drying of Pomegranate (Punica granatum) Arils in a Hot-Air Drier

The effect of blanching conditions on the hot-air drying kinetics of three pomegranates (cvs. “Acco”, “Herskawitz” and “Wonderful”) were assessed. Water blanching conditions considered were 90 °C for 30 s, 90 °C for 60 s, 100 °C for 30 s and 100 °C for 60 s. The drying experiments were carried out at 60 °C, 19.6% relative humidity and at a constant air velocity of 1.0 m s−1. The experimental curves were fitted to seven different drying models. For the Acco cultivar, the drying behaviour was best predicted by the Logarithmic and Page model for blanched (R2 ranging between 0.9966 and 0.9989) and unblanched (R2 = 0.9918) samples, respectively. Furthermore, for the Herskawitz cultivar, Logarithm, Page and Midili models were most suitable for predicting drying behaviour of both blanched and unblanched samples. Also, for the Wonderful cultivar, Logarithm and Midili models were most accurate for predicting the drying behaviour for both blanched and unblanched samples amongst other models. The blanched samples dried faster with shorter drying times: “Acco” (7 h), “Herskawitz” (8 h), and “Wonderful” (7 h), compared to the unblanched samples, which dried after 15, 20 and 11 h, respectively. Effective diffusion coefficient of moisture in pomegranate arils ranged from 4.81 × 10−9 and 1.11 × 10−8 m2 s−1 for the Acco cultivar, for the Herskawitz cultivar; 3.29 × 10−9 and 1.01 × 10−8 m2 s−1 and for the Wonderful cultivar; 5.83 × 10−9 and 1.09 × 10−8 m2 s−1. Overall, blanching resulted in low energy consumption during drying of pomegranate arils. In addition, the Logarithmic model generally showed an appropriate model for blanched samples regardless of cultivar. For unblanched samples, the Page model was more appropriate for “Acco” and “Herskawitz”, while the Midili model was appropriate for “Wonderful”. Therefore, this study provided science-based and practical drying conditions for the investigated pomegranate cultivars.
Nutrien Digestibility of Laying Quail at Different Sexes Treated With Papaya Leaves In Ration

Quails were high-productivity poultry, the use of feed containing certain enzymes such as papaya leaves thought to increase the nutrient digestibility of quails, besides that gender is also thought to affect nutrient digestibility. This study used 60 laying age quail (± 16 weeks age) consisting of 30 males and 30 females. corn, rice bran, layer concentrate and papaya leaf flour used as ration composition. This study used a completely randomized design of six treatments and five replication, the treatment consisted of the level of papaya leaves (PL) in rations distributed to different sexes, the treatments were P1 (0% PL: female quail), P2 (0% PL: male quail ), P3 (3% PL: female quail), P4 (3% PL: male quail) P5 (6% PL: female quail) and P6 (6% PL: male quail). Data obtained were analyzed by ANOVA and further tested using the Duncan multiple range tests, the variables observed were dry matter digestibility, organic matter digestibility, and protein digestibility. The results showed that papaya leaf flour at level 3% did not affect (P > 0.05) on digestibility (dry matter digestibility, organic matter digestibility, protein digestibility) compared to control but the use of papaya leaf flour at the level of 6% can significantly reduce nutrient digestibility (P <0.05). The sex of quails does not give the influence (P> 0.05) on nutrient digestibility. This study concluded that the use of PL in rations at levels above 3% can reduce nutrient digestibility.