Miracle-dz/UniFAR-FTUs huggingface dataset:
TRAINEE TEACHERS POST-TRAINING QUALITATIVE ASSESSMENT ONSEXUAL REPRODUCTIVE HEALTH FOR SPECIAL CHILDREN

Introduction Providing training on areas of known social cultural limitation such as sexual and reproductive health (SRH) is challenging and many end up with improper training. Present study aims to explore facilitators' skills and exploring feedback on the SRH program implementation. A training program was conducted based on existing module developed by Ministry of Health Malaysia. The focus of the training is on imparting essential sexual reproductive health knowledge for the teachers and instilling confidence in educating it on children and adolescents particularly those with disabilities. Methods The respondents were enrolled from a training centre for teachers trained for special needs children. The fascilitators of the program were the public health doctors in training. A case studies design was used to explore the themes. Nine focus group discussions comprising 15 participants each were conducted on teachers who had participated in the training. A semi-guided questionnaire was used to guide the discussion. Discussions were audio and video recorded with permission then transcribed verbatim. Transcriptions were analysed using thematic analysis to capture similarities and differences in views expressed by the participants. Results Eight themes were derived. Three related to the facilitators which were personality and characteristics, knowledge and skills. Five were related to the programme implementation – time, input, output, outcome and venue. Conclusion Generally, the programme received positive remarks. Programme input needs further improvement. Based on the participants' feedback, the programme managed to achieve its objectives. Facilitators were able to facilitate the training satisfactorily.
A Comparative Study between the Fama and French Three-Factor Model and the Fama and French Five-Factor Model: Evidence from the Egyptian Stock Market

The focus of this paper is to test whether the Fama and French three-factor and five factor models can capture the variations of returns in the Egyptian stock market as one of the growing emerging markets over the time-period July 2005 to June 2016. To achieve this aim, following Fama and French (2015), the authors construct the Fama and French factors and three sets of test portfolios which are- 10 portfolios double-sorted on size and the BE/ME ratio, 10 portfolios double-sorted on size and operating profitability, and 10 portfolios double-sorted on size and investment for the Egyptian stock market. Using time-series regressions and the GRS test, the results show that although both models cannot be rejected as valid asset pricing models when applied to portfolios double-sorted on size and the BE/ME ratio, they still leave substantial variations in returns unexplained given their low adjusted R2 values. Similarly, when the two models are applied to portfolios double-sorted on size and investment, the results of the GRS test show that both models cannot be rejected. However, when the two models are applied to portfolios double-sorted on size and operating profitability, the results of the GRS test show that both models are strongly rejected which imply that both models leave substantial variations in returns related to size and profitability unexplained. Specifically, the biggest challenge to the two models is the big portfolio with weak profitability which generate a significantly negative intercept implying that the models overestimate its return.
Nano-Encapsulation of Lemon Essential Oil Approach to Reducing the Oxidation Process in Fish Burger during Refrigerated Storage

Lemon essential oils (LEOs) as a bioactive compound with antioxidative potential are used as safe additives in foods. However, this compound is sensitive to light, oxidation, and processing in order to solve this problem encapsulation could be a suitable technique to protect them from degradation. The aim of this study was to produce nano-encapsulated LEOs in Chitosan: Modified Starch (Hicap) to investigate the antioxidant effect of the addition of 0.5 and 1% (w/w) free and nano-encapsulated LEOs on the quality of fish burgers during storage and compare it to the control. Changes in chemical properties in treated samples at 0, 3, 6, 9, 12, 15 and 18 days of storage were investigated. Our results showed a nanocapsules particle size of about 339.2 nm with high encapsulation efficiency. The addition of nanocapsules prepared by a mixture of CS: Hicap (1.5: 8.5% w/v) in LEOs significantly (P< 0.05) improved the quality characteristics due to the reduction of PV, TBA and TVB-N values for all LEOs nanocapsules treated burgers in comparison to others during storage. Based on the sensory evaluation, the shelf life of burgers increased by incorporation with nano-encapsulated LEOs. According to the results, the application of encapsulated LEOs may be a successful technology for the protection of undesirable chemical, and sensory changes in seafood.
Socio-economic, political, and institutional sustainability of agroforestry in Alta Verapaz, Guatemala

Promoting sustainable agricultural practices such as agroforestry (AF) could improve long-term productivity, enhance a sustainable rural livelihood and reduce pressure on natural resources and ecosystems in the tropics. However, AF seems to have adoption problems due to external market forces, lack of skills, financial resources and know-how ending in low flexibility and discontinuity of farmers in practicing AF. The objective of this study is to identify social, institutional, and economic factors that influence the adoption of AF on the household and community level, taking the region Alta Verapaz in Guatemala as a case study. Alta Verapaz is amongst the poorest regions in the country but also a tropical biodiversity hotspot where current agricultural practices are threatening forest environments and social development objectives. Our study explores how capital accessibility and institutional incentives are related to farmer’s livelihood sustainability and AF compositions. The methodology is composed by semi-structured interviews with nineteen farmers and field observations. The interviews have been analysed based on a qualitative content analysis by using the inductive category development. Based on these outcomes, the study found that human and economical capitals are favoured in communities were institutions are present especially through AF training offers, creation of farmers cooperatives and economic incentives. The role of institutions resulted to be crucial in the promotion of organic AF methods, forest protection and creation of long-term income. The combination of agricultural diversification with institutional incentives is one key livelihood strategy adopted by the farmers in order to achieve a socio-economic and ecological sustainability of their households. The further promotion of community forestry projects, expansion of networks and ongoing agricultural trainings as well as the diversification of agricultural systems could be beneficial for farmers in Alta Verapaz.
IMPACT OF IMPUTATION ON CLUSTER-BASED COLLABORATIVE FILTERING APPROACH FOR RECOMMENDATION SYSTEM

The Collaborative Filtering (CF) widely used in Recommendation System commonly suffers the sparsity issue since the unobserved rating entries usually over dominance the observed ones. A clustering technique is an alternative solution that can solve the problem. However, no in-depth work has investigated how the missing entries should be mitigated and how the cluster-based approach can be implemented. In this study, we show how the imputed cluster-based approach deals with the missing entries, improving the recommendation quality. The framework of our method consists of four main stages: rating imputation to replace the missing entries, K-means clustering to group users or items based on the imputed rating data, CF-based prediction model, and generating the list of top-N recommendation. This paper uses three variations of rating imputation techniques, i.e., null, mean, and mode. The cluster-based approach is employed by using the K-Means as the clustering technique, and either the user-based or the items-based model as the CF approach. Experiment results show that the null imputation technique performs the best compared to the mean and mean techniques when dealing with the missing entries. This finding indicates that the implementation of the clustering technique is sufficient for solving the sparsity issue such that imputing the missing entries is not necessary. We also show that our imputed cluster-based CF methods always outperform the traditional CF methods. The results confirm that the implementation of a cluster-based approach can improve the recommendation quality of traditional CF methods.
In-Field Estimation of Orange Number and Size by 3D Laser Scanning

The estimation of fruit load of an orchard prior to harvest is useful for planning harvest logistics and trading decisions. The manual fruit counting and the determination of the harvesting capacity of the field results are expensive and time-consuming. The automatic counting of fruits and their geometry characterization with 3D LiDAR models can be an interesting alternative. Field research has been conducted in the province of Cordoba (Southern Spain) on 24 ‘Salustiana’ variety orange trees—Citrus sinensis (L.) Osbeck—(12 were pruned and 12 unpruned). Harvest size and the number of each fruit were registered. Likewise, the unitary weight of the fruits and their diameter were determined (N = 160). The orange trees were also modelled with 3D LiDAR with colour capture for their subsequent segmentation and fruit detection by using a K-means algorithm. In the case of pruned trees, a significant regression was obtained between the real and modelled fruit number (R2 = 0.63, p = 0.01). The opposite case occurred in the unpruned ones (p = 0.18) due to a leaf occlusion problem. The mean diameters proportioned by the algorithm (72.15 ± 22.62 mm) did not present significant differences (p = 0.35) with the ones measured on fruits (72.68 ± 5.728 mm). Even though the use of 3D LiDAR scans is time-consuming, the harvest size estimation obtained in this research is very accurate.
Seasonal Reproductive Biology of Gilthead Seabream (Sparus aurata)

The purpose of the study is to investigate the effect of sex and season on reproduction of Gilthead seabream (Sparus aurata). A total of 88 sexually mature S. aurata fish were collected from natural habitat, Manzalah lake Damietta, Egypt during the period from March, 2017 to September, 2018. Fish were maintained in aquaria for 24h at appropriate environment according to each season. The results of the study showed high condition factor in male, females and hermaphrodites in winter. Gonadosomatic index (GSI) recorded high value in hermaphrodite in winter and hepatosomatic index (HSI) was high in females in winter. The absolute fecundity was higher in autumn than winter while the egg diameter was higher in winter than autumn. It could be concluded that, spawning was prevalent during winter season and triggered by lower water temperatures.
Social Cognition in Rehabilitation Context: Different Evolution of Affective and Cognitive Theory of Mind in Mild Cognitive Impairment

Maintaining social skills such as Theory of Mind (ToM) competences is important to counteract the conversion into dementia in Mild Cognitive Impairment (MCI). Multidimensional nonpharmacological interventions demonstrated their potential in improving cognitive and behavioral abilities; however, little is known about the long-term effect of such interventions on social skills in people with MCI. The aim of this longitudinal study was to monitor ToM competences considering both cognitive and affective domains in an amnestic MCI (aMCI) sample involved in a home-based multistimulation treatment (MST@H). 30 aMCI subjects (M : F = 15 : 15; mean age ± SD = 77.00 ± 4.60) were enrolled, and three steps of evaluation with neuropsychological tests and ToM tasks have been implemented. 21 healthy controls (HC) were also included (M : F = 9 : 12; mean age ± SD = 74.95 ± 3.88) to characterize the aMCI sample regarding differences in ToM performance compared to HC at the baseline evaluation. Our results show that the aMCI group statistically significantly underperformed the HC group only in the advanced ToM tasks, confirming an initial decline of high-level ToM competences in this population. The longitudinal evaluation revealed time changes not only in some subcognitive domains of MoCA (memory and executive functions) but also in cognitive and affective ToM dimensions in aMCI subjects. Our findings suggest that cognitive and affective ToM can be considered useful outcome measures to test the long-term effect of treatment over time.
University of Birmingham The peatland vegetation burning debate

Citation for published version (Harvard): Matt Davies, G, Kettridge, N, Stoof, CR, Gray, A, Marrs, R, Ascoli, D, Fernandes, PM, Allen, KA, Doerr, SH, Clay, GD, McMorrow, J & Vandvik, V 2016, 'The peatland vegetation burning debate: Keep scientific critique in perspective. a response to brown et al. and douglas et al.', Royal Society of London. Proceedings B. Biological Sciences, vol. 371, no. 1708, 20160434. https://doi.org/10.1098/rstb.2016. 0434
Work-family conflict and career development on performance of married women employees: Case of bank employees, Indonesia

This research aims to analyze the direct and indirect effect of work-family conflict on performance and career development of married women bank employees. Work-family conflict is measured by using the indicator of work affect to family and family affect to work while performance is measured using indicators assessments: quality of work, punctuality, attitude, and effectiveness. Career development is measured by indicators of education, training, reward and punishment, family support, and rotation. All assessment is based on self-evaluations. Purposive sampling is used of 38 married women employees working in the state-owned bank, and using path analysis of PLS (partial least square) as a statistical analysis measurement combining with qualitative analysis to describe the results of statistical analysis for each independent variable and its effects on the dependent variable. The result of this study showed that work-family conflict has a negative effect on performance and career development. But performance has an insignificant effect on career development. © 2019 Bussecon International Academy. Hosting by SSBFNET. All rights reserved. Peer review under responsibility of Bussecon International Academy & SSBFNET.
Halal Tourism: Its Attractiveness to Domestic Tourists Based on Their Religious Perspectives

One of Indonesia’s government programs to boost tourism as the basis of Indonesia’s economy is Halal tourism. This study aimed at exploring the behavior of domestic Muslim tourists when considering halal tourist destinations. It also looked at Muslim tourists’ behavior as they selected and recommended halal tourist destinations and compared the results according to the degree of taqwa in performing their religious rituals. This study used judgmental sampling in the selection of respondents and successfully collected 511 valid questionnaires. The theory of planned behavior (TPB) was used to analyze the study subjects, namely domestic Muslim tourists when they intended to select and recommend halal tourist destinations. It revealed that when domestic Muslim tourists intended to select and recommend halal tourist destinations, they influenced by Behavior Control. Attitude and Subjective norm did not influence the intention to select and recommend halal tourist destinations. Moreover, there was an adverse relationship between Attitude and Subjective Norm in the intention. The result of this study may contribute to the behavior theory and expand the use of TPB in the field of halal tourism study. Keywords: degree of taqwa, domestic tourists, halal tourist destinations, theory of planned behavior.
The Correlation Between Burnout and Personality Types in Software Developers Bachelor of Science Thesis in Software Engineering and Management

This paper examines the correlations between the Five Factor Model personality traits and burnout in software developers. Several studies have measured these correlations in the past, both for general populations and within specific fields, but to the best of our knowledge, this is the first study to do this within the field of software development. This study aims to validate generalizations of findings in other fields while also filling the gap in the literature in relating this correlation to software developers. To do this, an online survey consisting of a miniaturized International Personality Item Pool questionnaire for measuring the Five Factor Model personality traits, and the Shirom-Melamed Burnout Measure for measuring burnout, was distributed to several open source developer mailing lists, netting 47 valid responses. The results from correlating these responses indicate a strong link between neuroticism and burnout, while the correlations between each of the other Five Factor Model traits and burnout are inconclusive. Keywords-burnout; personality; five factor model; software developers;
The IDSpatialStats R Package: Quantifying Spatial Dependence of Infectious Disease Spread

Spatial statistics for infectious diseases are important because the spatial and temporal scale over which transmission operates determine the dynamics of disease spread. Many methods for quantifying the distribution and clustering of spatial point patterns have been developed (e.g. Kfunction and pair correlation function) and are routinely applied to infectious disease case occurrence data. However, these methods do not explicitly account for overlapping chains of transmission and require knowledge of the underlying population distribution, which can be limiting when analyzing epidemic case occurrence data. Therefore, we developed two novel spatial statistics that account for these effects to estimate: 1) the mean of the spatial transmission kernel, and 2) the τ-statistic, a measure of global clustering based on pathogen subtype. We briefly introduce these statistics and show how to implement them using the IDSpatialStats R package.
THREE-HEAD NEURAL NETWORK ARCHITECTURE

The search-based reinforcement learning algorithm AlphaZero has been used as a general method for mastering two-player games Go, chess and Shogi. One crucial ingredient in AlphaZero (and its predecessor AlphaGo Zero) is the two-head network architecture that outputs two estimates — policy and value — for one input game state. The merit of such an architecture is that letting policy and value learning share the same representation substantially improved generalization of the neural net. A three-head network architecture has been recently proposed that can learn a third action-value head on a fixed dataset the same as for two-head net. Also, using the action-value head in Monte Carlo tree search (MCTS) improved the search efficiency. However, effectiveness of the three-head network has not been investigated in an AlphaZero style learning paradigm. In this paper, using the game of Hex as a test domain, we conduct an empirical study of the threehead network architecture in AlpahZero learning. We show that the architecture is also advantageous at the zero-style iterative learning. Specifically, we find that three-head network can induce the following benefits: (1) learning can become faster as search takes advantage of the additional action-value head; (2) better prediction results than two-head architecture can be achieved when using additional action-value learning as an auxiliary task.
Tungstate as a synergist to phosphonate-based formulation for corrosion control of carbon steel in nearly neutral aqueous environment

Synergistic inhibition of corrosion of carbon steel in low chloride aqueous medium using tungstate as a synergist in combination with N,N-bis(phosphonomethyl) glycine (BPMG) and zinc ions is presented. The synergistic action of tungstate has been established through the present studies. The new ternary inhibitor formulation is effective in neutral and slightly acidic as well as slightly alkaline media. Potentiodynamic polarisation studies inferred that the formulation functions as a mixed inhibitor. Impedance studies of the metal/solution interface revealed that the surface film is highly protective. Characterisation by X-ray photoelectron spectroscopy (XPS) of the surface film formed in presence of the inhibitor revealed the presence of iron, phosphorus, nitrogen, oxygen, carbon, zinc and tungsten in the surface film. The chemical shifts in the binding energies of these elements inferred that the surface film is composed of iron oxides/hydroxides, zinc hydroxide, heteropolynuclear complex [Fe(III), Zn(II)–BPMG] and WO3. Reflection absorption FTIR spectroscopic studies also supported the presence of these compounds in the surface film. Morphological features of the metal surface studied in the absence and presence of the inhibitor by scanning electron microscopy (SEM) are also presented. Based on all these results, a plausible mechanism of corrosion inhibition is proposed.
Numerical simulation of transient air flow and particle deposition in a lung and bronchus of a human respiratory system

In the present study, the realistic model of the human trachea with five generations that are obtained from computerized tomography scan images is considered. Due to the complexity of lung geometry, many researchers have used simple models. Therefore in the present study realistic model with all geometrical details are considered. The airflow behavior, particle transport and deposition in various conditions such as steady flow, transient flow, light breathing and heavy breathing condition for various micro-particles diameters are investigated. Governing equations are solved and obtained results show that the flow patterns in the realistic model are much more complicated than those of symmetrical models. Also, the particle deposition pattern in the realistic condition is very different from that of the symmetrical model and the details of the trachea are very important and affect the deposition fractions in the small airways. Also, results show that the turbulent effect should be counted properly since the particle deposition in turbulent flow is 30 percent greater than the laminar flow and the dominant mechanism of micro-particle deposition is impaction and increasing of particles diameter, particle density, and the airflow rate leads to an increase of particle deposition. Review History: Received: Revised: Accepted: Available Online:
Reconfigurable Neural Network Using DAP/DNA

In this paper, we want to find ways of realizing a neural network in DAP/DNA. As convenient platform for experiments the DAP/DNA were taken, which allows the change of hardware in one clock per application, flexibly and dynamically. Implementing neural network by using this method, high computational power will be provided, and flexibility and scalability are hold.