Miracle-dz/UniFAR-FTUs huggingface dataset:
The Informativeness of Reported Earnings and Characteristics of the Audit Committee

An information usefulness approach to decision making points out that only the information is regarded as useful that will bring valuable messages to investors and lead to stock price adjustments. This study examines the effectiveness of audit committees in improving earnings quality and informativeness, particularly among family-owned firms. Earnings informativeness was measured through the relationship between accounting earnings and cumulative abnormal stock returns (CAR). In addition, the characteristics of the audit committee include independence, size, and financial expertise. The sample under study included 138 firms listed in the Tehran Stock Exchange over the period from 2011 to 2017. The research hypotheses were tested using statistical analysis techniques including the panel data method and linear regression model in Eviews software. Besides, the Chow test was used to determine if the mixed data would be more efficient for estimating the desired function, and Fisher's statistic was used to examine the significance of the regression model. Also, Student's t-test was employed to examine the significance of the coefficients of the explanatory variables in the regression model and Durbin-Watson's test we run to check the non-autocorrelation assumption of the model residuals. The results showed that the characteristics of the audit committee increase earnings informativeness. Also, the characteristics of the audit committee do not affect the relationship between family ownership and earnings informativeness
Transcranial Magnetic Stimulation as a Treatment of Depression and Other Disorders

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The post-glacial downcutting history in the Waihuka tributary of Waipaoa 1 River , Gisborne district , and implications for tectonics and landscape 2 evolution in the Hikurangi subduction margin of New Zealand 3 4

The post-glacial downcutting history in the Waihuka tributary of Waipaoa 1 River, Gisborne district, and implications for tectonics and landscape 2 evolution in the Hikurangi subduction margin of New Zealand 3 4 Kelvin Berryman a , Michael Marden b , Alan Palmer c , Kate Wilson d , Colin Mazengarb e , 5 Nicola Litchfield a 6 7 a GNS Science, PO Box 30 368, Lower Hutt, New Zealand; k.berryman@gns.cri. nz, 8 n.litchfield@gns.cri. nz 9 b Landcare Research, PO Box 445, Gisborne, New Zealand. 10 mardenm@landcareresearch.co.nz 11 c Institute of Natural Resources, Massey University, Private Bag 11-222, Palmerston 12 North, New Zealand. a.s. palmer@massey.ac. nz 13 d Institute of Natural Resources, Massey University, Private Bag 11-222, Palmerston 14 North, New Zealand, now at GNS Science, PO Box 30 368, Lower Hutt, New 15 Zealand. k.wilson@gns.cri. nz 16 e GNS Science, PO Box 30 368, Lower Hutt, New Zealand, now at Mineral Resources 17 Tasmania, PO Box 56, Rosny Park, Tasmania, Australia. cmazen@mrt.tas. gov.au 18 19 corresponding author: Kelvin Berryman, DD +64-4-5704743; Fax +64-4-5701440 20 21 Abstract 22
HIPSIG: A Basis for Social Adjustment after Head Injury

Psychosocial adjustment is a major factor in morbidity from severe head injury, but there have been no reported attempts to remedy problems within this area. Detailed examination of 11 severely head-injured patients attending an occupational therapy day centre suggests that high social anxiety, poor social performance and low self-esteem are important contributory factors to the poor overall social adjustment. Using existing methods from social skills training, the authors tried to remedy those specific problem areas in social interaction. The group results after one year were not statistically significant, but the authors suggest that their approach may be a useful starting point from which occupational therapists can develop similar, more effective rehabilitative programmes.
Enhancing the Security of Twitter Data Using SRB20 Algorithm

Today’s world witness the buildup of information through social media like Twitter and Facebook that are tremendously growing day by day. Exploitation these social media users tweet on several topics from anywhere within the world through the web. Tweet is employed to investigate positive and negative tweets to create polarity scores and additionally in predicting the long run. These polarity scores can be extracted from Twitter although polarity score knowledge are placed below security. Hacking the info simply and dynamic the score results cause immeasurable problems like affecting the economic status worldwide, company product, and therefore the name of corporations. To tackle these problems Daniel Bernstein proposed a family of Salsa which has quicker cryptography because of quarter round with better information security. In the present work, a novel algorithm is proposed by modifying the Salsa20/4 to enhance further the security of the polarity scores, an important requirement of the present world. The proposed algorithm has three stages. The first stage consists of column operations, second stage is secret key and the third stage is constructing the diagonal keys in N-1 steps. The proposed algorithm is tested with different file sizes to calculate the encryption time. The results show that the proposed encryption algorithm takes relatively large execution time but provides high data security when compared to that of the existing algorithms of Salsa20/4, SRB18, and SRB19.
The Influence of Attitude, Rewards, Training and Working Environment on Employees’ Performance

This paper attempts to understand employee’s performance in the Malaysian public sector. There are two objectives of the study. Firstly, is to examine the influence of training, reward, attitude and working environment on employees’ performance; and secondly, to identify the most significant factor (training, reward, attitude, and working environment) that influences employees’ performance. This study examined the factors that influence employees’ performance at a government office in Kelantan. Using convenience sampling and self-administered questionnaires, data from 85 employees were analyzed using Pearson Correlation and Multiple Regression Analysis. The results indicated that out of four variables that had been chosen, only training influences employees’ performance. The study recommended for a bigger sample size. The study also suggested using longitudinal study for future research. Another suggestion is to use qualitative study with in depth interviews to gauge better understanding between variables.
THE RELATIONSHIP BETWEEN INFORMATION INTERPRETATION AND EMPLOYEE AFFECTIVE ENGAGEMENT: A LITERATURE REVIEW

Information interpretation is the process of giving general meaning to generally distributed information. Information interpretation enhances the employee affective engagement, based on the fact that employees’ become emotionally invested to work and job task. But despite the importance placed on information interpretation many employees are void of the energy and enthusiasm required for their jobs. Hence, this paper establishes the relationship between information interpretation and employee affective engagement. The use of human capital theory and conceptual analysis were adopted to espouse the managerial practices that facilitate the learning process leading to employee affective engagement. The paper concludes with managerial and policy implication.
(Mdative WeatheringChemical -9.5 MigrationunderVariably SaturatedConditionsand SupergeneCopperEnrichment

Transport of oxygen gas from the land surface through an unsaturated zone has a strong influence on oxidative weathering processes. Oxidation of sulilde minerals such as pyrite (FeS2), one of the most common naturally occurring minerals, is the primary source of acid drainage from mines and waste rock piles. Here we present a detailed numerical model of supergene copper enrichment that involves the oxidative weathering (FeSJ and chalcopyrite (CuFeSJ, and acidification that causes mobilization of of pyrite metals in the unsaturated zone, with subsequent formation of enriched ore deposits of chalcocite (CUS) and covellite (CUZS) in the reducing conditions below the water table. We examine and identifj some significant conceptual and computational issues regarding the oxidative weathering processes through the modeling tool. The dissolution of gaseous oxygen induced by the oxidation reduces oxygen partial pressure, as well as the total pressure of the gas phase. As a result, the gas flow is modiiled, then the liquid phase flow. Results
Modelling of Interconnected Critical Infrastructure Systems Using Complex Network Theory

--The paper reviews several Complex Network Theory (CNT) based methodologies to model and analyze interconnected networks. To address the deficiencies reported in past studies, an advanced model of coupled Electric Power System (EPS) and Information and Communication Technology (ICT) is developed. The new model is designed as a three-dimensional graph with edges and nodes, and it highlights the interaction and interdependency of both EPS and ICT. The criticality of each component within the interconnected system is investigated by analyzing the efficiency-weighted node degree of each node symbolizing the components. The model has been tested on an ICT supported 14-Bus distribution network under three different loading conditions. Results show that the coupled infrastructure complies with the typical characteristics of scale-free network [1]. It is also shown the ICT system, although smaller in scale, contains more critical hubs than the power distribution network. The results of the proposed approach can be used as a reference to analyze the criticality in other coupled infrastructure by incorporating the internal characteristics of coupled systems.
Control of the glassy clover snails Monacha cartusiana using Zingiber officinale extract as an ecofriendly molluscicide

High population densities of Monacha cartusianawere observed to cause perdition of various economic crops at Sharkia Governorate. The present study was carried out control this harmful pest using ethanolic Ginger extract as a natural and environmentally safe molluscicide.Toxicological tests revealed that low concentration (20%) of ethanolic Ginger extract caused 10 % mortalityof cloversnails after one day of exposure and 66.7% mortalityafter28 days. The highest mortality percentage (90 %) was recorded after 28 days of treatment with40% Ginger extract. Biochemical investigations showed thatLC25 (7.04%) Ginger extract elevated ALT, AST, α & β esterases andphenoloxidase levels of treated snails compared to control.Histological inspections of the digestive gland and ovotestis of snails exposed to LC25Ginger extract revealed that the digestive tubules showedvarious tubularanomalies, inflammatory hemocytes infiltration, excessive luminal secretionsand appearanceof necrotic areas. Acini of ovotestis weredeformedand comprised misshapen eggs and distorted sperms.TEM investigations showed cellular malformations in the digestive gland of treated snails including; severely disrupted microvilli, ruptured cell membranes, fractured RER and mitochondrial pyknosis.
Gradient boosting for the prediction of gas chromatographic retention indices

The estimation of gas chromatographic retention indices based on compounds structures is an importantproblem. Predicted retention indices can be used in a mass spectral library search for the identificationof unknowns. Various machine learning methods are used for this task, but methods based on decisiontrees, in particular gradient boosting, are not used widely. The aim of this work is to examine the usability ofthis method for the retention index prediction. 177 molecular descriptors computed with Chemistry Development Kit are used as the input representation of a molecule. Random subsets of the whole NIST 17 database are used as training, test and validation sets. 8000 trees with 6 leaves each are used. A neural network with one hidden layer (90 hidden nodes) is used for the comparison. The same data sets and the set of descriptors are used for the neural network and gradient boosting. The model based on gradient boosting outperforms the neural network with one hidden layer for subsets of NIST 17 and for the set of essential oils.The performance of this model is comparable or better than performance of other modern retention prediction models. The average relative deviation is ~3.0%, the median relative deviation is ~1.7% for subsets of NIST 17. The median absolute deviation is ~34 retention index units. Only non-polar liquid stationary phases (such as polydimethylsiloxane, 5% phenyl 95% polydimethylsiloxane, squalane) are considered. Errors obtained with different machine learning algorithms and with the same representation of the molecule strongly correlate with each other.
Harnessing Social Capital to Improve Food Security of Peri-Urban Households. Experiences from Kisumu City, Kenya

Although significant progress has been made in recent decades to reduce food insecurity in developing countries, a larger percentage of the peri urban population still experiences food insecurity. The peri urban poor, as a particularly marginalized group, and who constitute the majority of the urban population are unfortunately the most vulnerable and disproportionately affected by food insecurity. Many studies, especially those focused on reducing poverty, do not explicitly acknowledge the significant role social capital could play in ameliorating food insecurity especially in the peri urban settlements. This paper explores the determinants of food insecurity and then attempts to demonstrate the contribution made by social capital to the improvement of food security of peri-urban dwellers. Using systematic random sampling, 40 households in Nyalenda, a peri urban informal settlement in Kisumu City were surveyed using a household questionnaire. Data was analyzed by descriptive statistics and a Multinomial Logistic regression model to identify the determinants of food insecurity. The results show that household food security is significantly influenced by livestock and household assets, land size, dependency ratio, and access to market, gender, education level, and labor availability. On the other hand, social capital membership to groups influenced positively the food security status of households. This suggests that intervention promoting food security of peri urban household need to expand their focus not just on livelihood improvement, but also in building the capacity of household’s social capital to help improve food security. We recommend that policy intervention promoting food security of peri urban household to expand their focus to include building of capacity of household’s social capital networks. Additionally, a systematic effort is needed to harness social capital in improving food security intervention in peri urban areas where majority of poor urban dwellers are located.
Estimating abortion rates from contraceptive failure rates via risk compensation: a mathematical model

In this paper, we propose a set of hypotheses for deriving the abortion rate as a function of the intercourse interval in weeks, the number of weeks since the start of first intercourse, the number weeks of pregnancy, the number of weeks of breastfeeding, and the contraceptive failure rate. We also propose risk compensation as feedback: the intercourse interval is proportional to the m power of the contraceptive failure rate. We show that for different values of m, the abortion rate may become smaller, bigger, or remain the same compared to the case when no contraceptives are used. Thus, one way to settle the RH Bill debate is to determine the correct value of m derived from accurate data on the reproductive health parameters of a large sample of the female population. If this data is not available, it is better not to take risk in approving the bill, because there is a possibility of increasing our national abortion rate through the promotion of contraceptives. Instead, it may be better to use alternative methods to manage our population and reduce our abortion rate to zero by promoting chastity before marriage, late marriages, and breastfeeding—and accepting each child conceived as a gift and not as a burden.
Multi Class Fruit Classification Using Efficient Object Detection and Recognition Techniques

In this paper, an efficient approach has been proposed to localize every clearly visible object or region of object from an image, using less memory and computing power. For object detection we have processed every input image to overcome several complexities, which are the main limitations to achieve better result, such as overlap between multiple objects, noise in the image background, poor resolution etc. We have also implemented an improved Convolutional Neural Network based classification or recognition algorithm which has proved to provide better performance than baseline works. Combining these two detection and recognition approaches, we have developed a competent multi-class Fruit Detection and Recognition (FDR) model that is very proficient regardless of different limitations such as high and poor image quality, complex background or lightening condition, different fruits of same shape and color, multiple overlapped fruits, existence of non-fruit object in the image and the variety in size, shape, angel and feature of fruit. This proposed FDR model is also capable of detecting every single fruit separately from a set of overlapping fruits. Another major contribution of our FDR model is that it is not a dataset oriented model which works better on only a particular dataset as it has been proved to provide better performance while applying on both real world images (e.g., our own dataset) and several states of art datasets. Nevertheless, taking a number of challenges into consideration, our proposed model is capable of detecting and recognizing fruits from image with a better accuracy and average precision rate of about 0.9875.
Diagnosing The Dynamic Drivers of Healthcare Expenditure in Organisation of Islamic Cooperation (OIC) Countries

The foremost impact of healthcare system is for the individuals to have the right and privileges to access enhanced healthcare services. The demand for health, innovation and sustainable healthcare systems has also been gaining better prominence and consideration in numerous countries, and it is perceived as one of the major contributors to the economic growth and development. This paper looks at the dynamic drivers of healthcare expenditure in Organisation of Islamic Cooperation (OIC) countries from 1990 to 2015. The dynamic panel system Generalized Method of Moments (GMM) technique was used for the study analysis. The findings show that the income, life expectancy, share of population between the age group of 65 years and above, share of population age under 15 years, out-of-pocket payment, research and development (technology) in healthcare and consumer price index were the drivers of healthcare expenditure in OIC countries. In view of this, the study differs from recent and previous studies, because the study offers novel empirical findings as the income per capita is above one, which is about 1.90 and inelastic. This proves that healthcare in OIC countries is a luxury goods.
Towards student-centred solutions and pedagogical innovations in science education through co-design approach within design-based research

The aim of this case study is to demonstrate how a co-design approach could be used within design-based research (DBR) with diverse multi-stakeholders in the LUMA ecosystem to promote social creativity towards novel student-based solutions and pedagogical innovations. As a case, a national LUMA2020 development program (2019–2020), organized by the national LUMA Centre Finland and funded by the Finnish Ministry of Education and Culture, was studied in detail. The different data sources (e.g. an action plan, written observations) were analysed through qualitative content analysis. The Edelson’s design-based research model used in the program offered a systematic framework or a map for co-designing both the action plan and its implementation. The co-design approach within the model was organised through three stages to engage all multi-stakeholders (altogether about three hundred participants) for it: (i) a research and societally oriented framework stage, (ii) a practical stage and (iii) a “bottom-up” stage in which teachers from 160 schools were active participants and professional key contributors. The co-design approach and the design decisions were facilitated by using guided face-to-face communication in small group work and digital creative learning spaces as a medium for social creative thinking. The co-designers were teachers, teacher educators, scientists or industry specialists in different stages. The co-design model used could be a way to bridge the newest research and innovations into praxis for supporting the curriculum at the school level and for promoting teachers’ professional development by forming creative and diverse learning communities, in which all partners can learn from each other through sharing.