Miracle-dz/UniFAR-FTUs huggingface dataset:
AUTISTIC SEVERITY AND PSYCHIATRIC COMORBIDITY AMONG CHILDREN WITH AUTISM SPECTRUM DISORDER

Background: Autism Spectrum Disorder is a neurodevelopmental disorder with unclearly identified psychopathology. Aim: To assess the severity of autism and psychiatric comorbidity among children with autism. Subjects and Method: Design: A descriptive study was utilized. Setting: study conducted at outpatient clinics of the Psychiatric Department, Mansoura University Hospitals. Subject: study include a sample of (84) preschool children diagnosed with autism. Tools: Data collected using three tools; I-Demographic and developmental characteristics of children, and clinical condition of mothers during pregnancy, II- Gilliam Autism Rating Scale, and III- Mini International Neuropsychiatric Interview for children. Results: Revealed that 72% of studied children with moderate autism severity. Siblings number, age of the mothers during pregnancy, mother comorbid physical complaint during pregnancy, and child age of walking, related significantly to autism severity. More than two thirds (68%) of children with autism comorbid with psychiatric disorders. Anxiety is the most common (35.7%) followed by attention deficit hyperactivity disorder (32.1%). Numbers of comorbid disorders are related significantly to autism severity. Conclusion: Numbers of comorbid disorders related significantly to autism severity. Moreover, the severity of autism related significantly to socio-demographic, developmental characteristics and psychiatric co-morbidity. Recommendations: Caring of comorbid psychiatric disorders may alleviate autistic severity, consequently, comorbid psychiatric disorders should be considered in assessment and intervention of children with autism.
Context Awareness in Recognition of Affective States: A Systematic Mapping of the Literature

Abstract Studies indicate the growth and relevance of systems that can recognize affective states in the most different areas. A tendency to more natural environments could be noticed that considering physical or physiological signs and the individual’s relationship with the environment, other people, and daily activities. Therefore, what is the importance of combining ubiquitous computing, affective computing, and the contributions of context-aware information to provide more accurate and intelligent affective systems? This study presents a systematic literature mapping about the use of contextual information to identify affective states, which covered articles published between 2010 and October 2021, resulting in 1.638 studies. After applying filters, which we explain further in this article, we selected 49 works to answer a set of research questions. The results indicate that physiological data was the main parameter for recognizing affective signs (62.3%, 33/53), followed by visual data (32.1%, 17/53). The links between context and affective signs presented a more significant occurrence in the combination of contexts related to activities and physiological data (34%, 18/53).
Diversity of Tartary Buckwheat (Fagopyrum tataricum) Landraces from Liangshan, Southwest China: Evidence from Morphology and SSR Markers

Tartary buckwheat (Fagopyrum tataricum) has been cultivated for over one thousand years in the Liangshan Prefecture of Sichuan, China. Growing population pressures, economic modernization pressures, and the erosion of traditional culture have led to the rapid loss of area covered by Tartary buckwheat landraces. Morphological and molecular characterization of 112 Tartary buckwheat accessions from 29 populations were assessed based on 10 morphological traits of seeds and 10 SSR markers, respectively. The coefficient of variation and Shannon index showed diversity within the morphological characteristics of the seeds. All accessions were divided into three categories according to phylogenetic dendrogram analysis, which was consistent with folk nomenclature and taxonomy. Genetic analysis using SSR markers identified 45 alleles with a mean value of 4.5 alleles per locus. The high average PIC value (0.459) indicated polymorphism of the SSR markers. The genetic similarity coefficient of the 112 Tartary buckwheat accessions showed a high level of genetic diversity ranging from 0.130 to 0.978. The genetic structure analysis revealed high genetic differentiation (Nei = 0.255). The folk nomenclature, folk taxonomy, and sociocultural norms may also contribute to a significant influence on the diversity of folk nomenclature and taxonomy. The assessment of the genetic diversity of Tartary buckwheat landraces and detection of SSR loci associated with traits could be used as scientific guidance for selecting Tartary buckwheat seed for improved production relative to local farmers and consumer preferences. Local traditional knowledge (seed exchange network) and culture also contribute to breeding and the maintenance of the genetic diversity of Tartary buckwheat.
Learning Attentional and Gated Communication via Curiosity

Due to the partial observability in decentralized multi-agent systems, communication is critical for cooperation. Furthermore, the ability to decide when and whom to communicate is important to achieve efficient communication. However, the existing methods are typically driven by extrinsic rewards. Hence, when the reward from environment is sparse, delayed, or noisy, the communication performance of these methods would be restricted. Furthermore, it would introduce additional difficulty named credit assignment when using extrinsic reward to train communication and sample policies together. To tackle these difficulties, we introduce the mechanism of intrinsic motivation from psychology to multi-agent communication. We hold the view that the observations with more uncertainty and curiosity are more valuable for communication. It can help agent find useful information from observations. It is a good complement to existing extrinsic driven methods. Concretely, at sending end, we learn a curiosity from local observations to model the communication importance. Then, we design a heuristic mechanism to prune unnecessary messages. It can solve the problem of when to communicate. Then, the ability to gate unnecessary message can reduce the cost and improve the efficiency of communication, which is important to apply to real-world scenarios. Furthermore, at receiving end, we utilize the intrinsic importance to differentiate information, which can be helpful for local decisions. It could solve the problem of whom to communicate. The ability to pay attention to useful information can efficiently improve the performance of communication behaviors. At last, we evaluate our method on a variety of multi-agent scenarios. The experiments of full communication demonstrate that the curiosity is capable to model the communication importance, and the results of gated communication further prove the conclusion.
The Effects of Labor Characteristics on Firm Productivity: Empirical Evidence from Vietnam

The paper investigates how labor characteristics affect firm productivity. Recent arguments on the relationship vary. On one hand, the labor force enhances firms’ financial strengths thanks to their manufacturing poductivity; on the other hand, such effects impede operations if overlooked. We proposed three hypotheses with views on such characteristics. First, leadership experience and second, a highly-trained firm labor force are both positively associated with firm productivity, whereas obstruction by labor laws has a negative effect on productivity. In a 123-firm dataset surveyed by the World Bank, the paper reveals that leadership experience and highly trained labor positively affect firm productivity while no statistical evidence was found of obstruction by labor laws. The major findings suggest that, firstly, labor-related theories are properly verified with different analysis settings; secondly, labor characteristics are the primary firm-level competitive power so they should be treated appropriately; thirdly, Vietnamese firms are not likely to be hindered by the country-level labor laws. However, the study constrains itself by not being conducted on a panel dataset to show the pattern over time, and by not treating the leadership experience in a proper, multifaceted way to capture their contribution comprehensively to the business-doing culture in Vietnam.
Preparing Data and Determining Parameters for a Feedforward Neural Network Used for Short-Term Air Temperature Forecasting

This article presents the results of solving the problem of preparing initial data and determining specifications for an artificial feedforward neural network used for short-term forecasting of ambient air temperature values. Based on the requirements for the accuracy of forecasts, the data for network self-learning was optimized, namely, the number of training vectors and their length, the type of the source data itself, the features of creating a training sample from an array of source data were determined. Additionally, the specifications of neural network that provide the required accuracy of forecasts were selected, namely, the requirements for the network neuron activation, and the number of hidden layers.
Investigating the Influence of Plasma-Treated SiO2 Nanofillers on the Electrical Treeing Performance of Silicone-Rubber

This study presents an investigation of electrical tree performance as well as the effect of filler concentration of silicone rubber (SiR) filled with atmospheric-pressure plasma-treated silicon dioxide (SiO2) nanofiller. Atmospheric-pressure plasma was used to treat the SiO2 nanofiller surfaces to enhance compatibility with SiR matrices. A fixed AC voltage of 10 kV, 50 Hz was applied to untreated, silane-treated, and plasma-treated nanocomposites with filler concentrations of 1, 3, and 5 wt % to investigate their electrical performance during electrical treeing. The result showed that plasma-treated SiO2 nanoparticles were uniformly well dispersed and formed strong covalent bonds with the molecules of the SiR polymer matrix. The plasma-treated nanocomposites were able to resist the electrical treeing better than the untreated or silane-treated nanocomposites. The increase in filler concentration enhanced the electrical tree performances of the nanocomposites. The result from this study reveals that the plasma-treated nanocomposites exhibited the best result in inhibiting the growth of electrical treeing compared to the existing surface treatment methods used in this study.
Developing a business information system : case: Work practice placement management tool for Oulu Vocational College, Department of Social and Health Care, Kontinkangas Unit

Oulu University of Applied Sciences Business Information Technology Author: Stephen John Lockerbie Title of thesis: Developing a Business Information System Case: Work Practice Placement Management Tool for Oulu Vocational College, Department of Social and Health Care, Kontinkangas Unit Supervisor: Liisa Auer Term and year when the thesis was submitted: Spring 2013 Number of pages: 31
Partial Versus Complete Pulpotomy Using Three Different Materials in Primary Molars: A Clinical Study

Aim of the study: Comparing partial pulpotomy versus complete pulpotomy in primary molars using three different materials clinically and radiographically. Materials and methods: It was conducted on sixty molars from thirty children 3 to 6 years. The sample of 60 molars was randomly divided into two groups where group A referred to partial pulpotomy, group B referred to complete pulpotomy. Both techniques were performed for each child using the split-mouth technique. In group A, caries were removed using round bur with removing 2mm of coronal pulp tissues, while in group B, the coronal pulp tissues were completely excavated with a spoon excavator. In both groups, the bleeding was controlled using a moist cotton pellet. Then the medicament was applied according to the grouping randomization process. Accordingly, the children were allocated into 3 subgroups; G1 for Formocresol, G2 for MTA, and G3 for Theracal LC. This is followed by GI filling and SSC. Clinical and radiographic assessments were performed at 6, 9, 12, and 15 months. Statistical analysis was conducted using One-way ANOVA and Chi-square tests. Results: Complete pulpotomy showed a higher success rate radiographically and clinically compared to partial pulpotomy without any statistical significance. Meanwhile, MTA showed the highest success rate in comparison to Formocresol and Theracal LC with no detected statistical significance. Conclusion: The use of complete pulpotomy tends to be superior over partial pulpotomy, however, the partial pulpotomy technique could be used as an alternative with acceptable results. MTA seems to be more successful compared to other materials. present demonstrated that MTA was a superior pulpotomy agent in primary teeth than Formocresol and Theracal LC. Regarding the overall success rate, MTA pulpotomy showed a 90% success rate and Formocresol demonstrated a 70% success rate and Theracal LC illustrated 80%. MTA pulpotomy group Formocresol Pulpotomy group, overall success results of MTA Formocresol other Farsi and Ubramaniam and other hand, favorable MTA. heterogeneity
Visualization of vortical flows around a rapidly pitching wing and propeller

This study was conducted to visually investigate flows related to fixed-wing vertical-takeoff-and-landing micro air vehicles, using the smoke-wire technique. In particular, the study examines transition between forward flight and near-hover. The experimental model consists of a rigid Zimmerman wing and a propulsion system with contra-rotating propellers arranged in a tractor configuration. The model was pitched about the wing’s aerodynamic center at approximately constant rates using a five-axis robotic arm. Constant-rate pitching angles spanned 20° to 70°. No-pitching and four pitching-rates were used, along with three propulsive settings. Several observations were made during no-pitching tests. Turbulent wakes behind blades and laminar flow between them produces pulsations in the boundary layer. These pulsations alter the boundary layer from a laminar to turbulent state and back. An increase in lift and drag in the presence of a slipstream is a result of competing effects of the propulsive slipstream: (a) suppression of flow separation and increased velocity over the wing and (b) decrease of the effective angle of attack. Higher nose-up pitching-rates generally lead to greater trailing-edge vortex-shedding frequency. Nose-up pitching without a slipstream can lead to the development of a traditional dynamic-stall leading-edge vortex, delaying stall and increasing wing lift. During nose-up pitching, a slipstream can drive periodically shed leading-edge vortices into a larger vortical-structure that circulates over the upper-surface of a wing in a fashion similar to that of a traditional dynamic-stall leading-edge vortex. At lower nose-up pitching-rates, leading-edge vortices form at lower angles of attacks. As a slipstream strengthens, a few things occur: separation wakes diminish, separation occurs at a higher angle of attacks, and downward flow-deflection increases. Similar effects are observed for nose-up pitching, while nose-down pitching produces the opposite effects.
Short term wave forecasting, using digital filters, for improved control of Wave Energy Converters

This paper presents a Digital Filter method for real time prediction of waves incident upon a Wave Energy device. The method transforms waves measured at a point ahead of the device, to expected waves incident on the device. The relationship between these incident waves and power capture is derived experimentally. Results are shown form measurements taken on the Wave Dragon prototype device, a floating overtopping device situated in Northern Denmark. In this case the method is able to accurately predict the surface elevation at the device 11.2 seconds before the measurement is made. This is sufficient to allow advanced control systems to be developed using this knowledge to significantly improve power capture.
LOCAL MARKETING IN TOURISM DEVELOPMENT: CASE STYDY IN PHU THO PRONVINCE, VIETNAM

This study aims to analyze and evaluate the current situation of applying local marketing in tourism development in Phu Tho. The study uses primary and secondary data sources collected through a survey of 150 tourists to assess the local marketing factors that attract tourists in Phu Tho province. Research results have shown the destination image, attractiveness, tourism products, tourism products, prices of tourism services, promotion, tourism infrastructure, social environment, quality of tourism human resources of Phu Tho province which are evaluated well by visitors. However, there are still aspects that need to be improved, such as the quality of promotion, the professionalism of the tourism human resources, etc. Therefore, the study has suggested seven groups of solutions perfect local marketing tools and strengthen the application of local marketing in tourism development in the coming time.
CHALLENGING JOB DEMANDS AS A PREDICTOR OF WORK ENGAGEMENT AMONG TEACHERS: ROLE OF JOB BURNOUT

Teaching as a profession has been considered to involve a wide range of job-related demands which required high flexibility and multidimensional skills. Though the teacher’s core business is to enhance the achievements and learning of students yet many other underrated tasks such as university administration and development, cooperation outside and within and the university are required from the teacher, which become potential stressors and consequently acknowledged as a crucial feature for their burnout and turnover.The current research aimed to investigate challenging job demands, work engagement and job burnout among purposively selected universityteachers from Punjab Province, Pakistan. Challenging Job Demands (Makhdoom, 2017), Ultra-Short Measure for Work Engagement (Schaufeli et al., 2017) and Oldenburg Burnout Inventory (Demerouti et al., 2010) questionnaires were used to measure the variables of the present research. Results showed that challenging job demandshad a positive predictive relationship with work engagement, which meansthat those teachers who perceive their job as challenging were more engaged in work. Mediation analysis through Process Macron(version 3.5) revealed job burnout significantly and partially mediated between challenging job demands and work engagement. The current study concluded that challenging job demands were a strong and positive predictor of work engagement among teachers. However, the present study also concluded a significant and partial mediating role of job burnout in the relationship of challenging job demands and work engagement of teachers. The present study has some recommendations for future researchers. The comparative and measurableamount of work of higheremploymenttakes one to disengagement and exhaustion which thentakeindividualstowardmental and physical symptoms which includeproblems related to headaches, cardiovascular and gastric system. Though, numerousresearches not insupportof burnout as a third variable related to the job in the associationamong work-related demands and somatic well-being problemsamong thesample of Austrian blue-collar and white-collar employees. Thus, it lookslike demands related to the jobdisturbthe mental as well as physical health of employees directly or indirectly by burnout, which in resultdisturbsthe individual and organizational results. It is obvious from the recentresearch findings that demands related to the job i.e. time pressure and cognitive loaddisturbworkers minds, andas a resultaffectsemployees engagement throughout the work van der Schelvis, The present research aimed to examine the association of challenging job demands with work engagement and job-related burnout and to explore the influence of challenging job demands on teachers work engagement. Another objective was to find out the mediating part of job-related burnout in the relationship ofchallenging job demands and work engagement among teachers. Based on the aforementioned discourse, it has been hypothesized for the current study that:
Richness and biomass distribution of the mangrove macroalgal association in a subtropical estuary and Coastal

The richness and biomass distribution of mangrove macroalgae were evaluated along the main salinity gradient of the Paranaguá Bay subtropical estuarine complex in southern Brazil. We used a spatially hierarchical design to investigate the spatial scales that contributed most to the variation in richness and biomass within the association. A total of eighteen taxa of macroalgae and cyanobacteria were identified with nonlinear patterns of distribution. While richness correlated with the salinity gradient, algal biomass did not follow the predicted pattern. Conversely, most of the mangrove macroalgae distribution patterns were more related to small-scale processes than to salinity variation. These results indicated that even though coastal regions are exposed to large-scale environmental processes, the somewhat disregarded small-scale processes should be also considered to unravel patterns in biological distributions. structuring Our study investigates how Bostrychietum algae distribution changes along an estuarine horizontal salinity gradient and within haline sectors. Changes were measured through macroalgal species richness, biomass, and patterns of association in mangroves from Paranaguá Bay in southern Brazil. We tested the hypothesis that the salinity gradient is a major driver of the Bostrychietum algae spatial distribution by increasing richness, biomass, and overall changes with increasing salinity.
DRIVERS AND DYNAMICS OF COMMERCIAL CORAL-REEF FISHERIES FOOTPRINT EXPANSIONS AND IMPLICATIONS FOR STOCKS, ECOSYSTEMS, AND SOCIETIES

Coral-reef fisheries have provided food security and recreation for societies across the tropics for countless generations, and are also estimated to provide nearly $6 billion USD in net beneﬁts to the world an nually while supporting the livelihood of over 6 million ﬁshers and their families. Yet, unsustainable fisheries regimes with ensuing impacts to coral-reefs and societies that depend on them have been reported over the last decades across most tropical regions. Alongside, management frameworks continue to struggle to ensure sustainable fishing regimes in the face of limited evidence-based guidance and the prevalent context of limited capacity and resources. This thesis aimed to advance on the field of small-scale multi-species fisheries by enhancing our understanding of exploitation and stock dynamics, the drivers behind those dynamics, and potential novel management paths towards sustainable fishing regimes. Within, it focuses on poorly understood coral-reef fisheries and on the drivers and progressive dynamics associated to increased commercialization of those fisheries, ensuing localized depletions and fisheries expansions, and inevitable impacts to stocks and societies.