Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotion dysregulation and tension-reducing behaviors in college students with a history of child maltreatment

EMOTION DYSREGULATION AND TENSION-REDUCING BEHAVIORS IN COLLEGE STUDENTS WITH A HISTORY OF CHILD MALTREATMENT by Aubrey A. Beidatsch Survivors of child maltreatment report higher levels of certain maladaptive behaviors such as deliberate self-harm, bulimic behavior, maladaptive sexual behavior, substance use, and aggression. A functional approach to viewing these behaviors suggests that they serve a purpose; this purpose may be to reduce emotional distress. Maltreatment may impede the development of effective strategies for regulating emotions and without effective internal resources survivors may look to external methods (i.e., tension-reducing behaviors) to cope with emotions. Two hypotheses were examined: (1) maltreatment is linked to tension-reducing behaviors through the intermediary effects of emotion dysregulation; (2) emotion dysregulation predicts tensionreducing behaviors regardless of maltreatment history. Self-report questionnaires assessed all variables in 523 undergraduates. Structural modeling was used to test the proposed relationships. Results indicated a significant relationship between emotional maltreatment and three tensionreducing behaviors (bulimic, aggressive, and sexual behavior) when emotion dysregulation was present, but not a mediational relationship. Further, emotion dysregulation predicted three tension-reducing behaviors regardless of maltreatment history. EMOTION DYSREGULATION AND TENSION-REDUCING BEHAVIORS IN COLLEGE STUDENTS WITH A HISTORY OF CHILD MALTREATMENT
The role of coordination and cooperation in early adoption of GM crops: the case of Bt maize in Brandenburg, Germany.

The introduction of genetically modified (GM) crops forcommercial cultivation has raised the question of thecoexistence of agricultural production systems. Withinthe European institutional framework, cross-pollinationmay cause economic damage to conventional andorganic farmers if the produce is subjected to obligatorylabelling and, thus, selling is restricted or yields a lowermarket price compared to the respective conventional ororganic products (e.g., Beckmann & Wesseler, 2007). The labelling threshold for adventitious and unavoid-able presence of GM traces has been set at 0.9% forfood and feed throughout the EU (Commission of theEuropean Communities [CEC], 2003b). In July 2003, the European Commission publishedguidelines for designing coexistence regulations fortransgenic and non-transgenic plants (CEC, 2003a),according to which no form of agriculture should beexcluded from the EU and farmers should be free tochoose between farming conventionally or organicallyas well as using GM crops. However, the guidelines alsostate clearly that farmers “who introduce the new pro-duction type should bear the responsibility of imple-menting farm management practices necessary to limitgene flow” (CEC, 2003a, pp. 41). The costs of coexist-ence, thus, are to be borne by the GM farmer. Neverthe-less, the guidelines also remark that “groups of farmersin a neighborhood may achieve a significant reductionin the costs related to the segregation of GM and non-GM production types if they coordinate their productionon the basis of voluntary agreements” (CEC, 2003a, pp.46). Against this background, the article investigatestheoretically and empirically the costs imposed on theGM farmer by the coexistence regulations and theincentives to reduce these costs by coordination andcooperation.As the European Commission’s mode of decision-making on coexistence regulations follows the principleof subsidiarity, Member States can design and imple-ment national regulations to guarantee coexistence.Within the scope of guidelines formulated by the Euro-pean Commission, a great diversity of ex-ante regula-tions and ex-post liability rules has emerged inEuropean countries (Beckmann, Soregaroli, & Wesseler,2006a). In December 2004, for example, Germanyincorporated coexistence rules into the German GeneticEngineering Act (GenTG), including a general code ofGood Agricultural Practice (GAP), the creation of apublic GMO location register and the definition of ex-post liability rules. In line with the EU regulations, GM
The Effect of Vocational High School Administrators' Leadership Behaviors on Teacher Job Satisfaction

The purpose of this research is to determine the effect of vocational high school administrators’ leadership behaviors on teacher job satisfaction. The study group of the research consists of 21 technical teachers who work at vocational high schools in the city of Isparta. The data obtained have been analyzed by calculating the frequency, arithmetic mean, correlation and regression analyses. The vocational high school administrators exhibit all types of behaviors in every dimension of leadership at the level of “frequently”. It has been understood that there is a significant correlation between the dimensions of administrators’ leadership behaviors and teacher job satisfaction. Another considerable finding of the research is that the effect of individual-oriented leadership behaviors one of the dimensions of leadership behaviorson teacher job satisfaction is higher than the effects of other dimensions of leadership behaviors.
Influence of Pyrolytic Biochar on Settleability and Denitrification of Activated Sludge Process

Biochar is a massively produced by-product of biomass pyrolysis to obtain renewable energy and has not been fully used. Incomplete separation of sludge and effluent and insufficient denitrification of sewage are two of main factors that influence the efficiency of activated sludge process. In this work, we proposed a new utilization of biochar and investigated the effect of biochar addition on the performance of settleability and denitrification of activated sludge. Results show that the addition of biochar can improve the settleability of activated sludge by changing the physicochemical characteristics of sludge (e.g., flocculating ability, zeta-potential, hydrophobicity, and extracellular polymeric substances constituents). Moreover, the dissolved organic carbon released from biochar obtained at lower pyrolysis temperature can improve the nitrate removal efficiency to a certain extent.Biochar is a massively produced by-product of biomass pyrolysis to obtain renewable energy and has not been fully used. Incomplete separation of sludge and effluent and insufficient denitrification of sewage are two of main factors that influence the efficiency of activated sludge process. In this work, we proposed a new utilization of biochar and investigated the effect of biochar addition on the performance of settleability and denitrification of activated sludge. Results show that the addition of biochar can improve the settleability of activated sludge by changing the physicochemical characteristics of sludge (e.g., flocculating ability, zeta-potential, hydrophobicity, and extracellular polymeric substances constituents). Moreover, the dissolved organic carbon released from biochar obtained at lower pyrolysis temperature can improve the nitrate removal efficiency to a certain extent.
Permeability Changes Resulting from Quartz Precipitation and Dissolution around Upper Crustal Intrusions

It has long been recognized that quartz precipitation from circulating hydrothermal fluids may reduce porosity and permeability near intrusions. However, the magnitude of permeability changes and potential feedbacks between flow, heat transfer, and quartz precipitation/dissolution remain largely unquantified. Here, we present numerical simulations of fluid convection around upper crustal intrusions which explicitly incorporate the feedback between quartz solubility and rock permeability. As groundwater is heated to ~350°C, silica dissolves from the host rock, increasing porosity and permeability. Further heating to supercritical conditions leads to intensive quartz precipitation and consequent permeability reduction. The initial host rock permeability and porosity are found to be main controls on the magnitude and timescales of permeability changes. While the permeability changes induced by quartz precipitation are moderate in host rocks with a primary porosity ≥ 0.05, quartz precipitation may reduce rock permeability by more than an order of magnitude in host rocks with a primary porosity of 0.025. Zones of quartz precipitation transiently change locations as the intrusion cools, thereby limiting the clogging effect, except for host rocks with low initial porosity. This permeability reduction occurs in timescales of hundreds of years in host rocks with initial high permeability and thousands of years in host rocks with intermediate permeability.
An empirical analysis of disaggregated government expenditure and economic growth in South Africa

The motivation for this study stems from the weak economic growth that the country has beenexperiencing lately, coupled with the concern over government spending in South Africa. Estimatingonly the effect of government spending on economic growth is not enough; the different componentsof government spending should also be investigated in order to observe their relationships witheconomic growth. Earlier studies in South Africa considered the effects of total government spendingon economic growth. This is the first study to our knowledge that disaggregated government spendinginto government investment spending and government consumption spending. This study, therefore,examines the effects of government investment expenditure and government consumption expenditurealong with groups of control variables on economic growth in South Africa, using the autoregressivedistributed lag (ARDL) technique. Annual data spanning the period 1976 to 2015 was employed. Theresults show that the disaggregated government spending is positively related to economic growthboth in the long run and the short run, during the period considered
On performance of GPU and DSP architectures for computationally intensive applications

This thesis focuses on the implementations of a support vector machine (SVM) algorithm on digital signal processor (DSP), graphics processor unit (GPU), and a common Intel i7 core architecture. The purpose of this work is to identify which of the three is most suitable for SVM implementation. The performance is measured by looking at the time required by each of the architectures per prediction. This work also provides an analysis of possible alternatives to existing implementations of computationally intensive algorithms, such as SVM. Some performance improving methods were proposed and examined for the given DSP and GPU architectures. The 4-class and 7-class implementations of the SVM algorithm were examined. On the system with an Intel i7-2720QM CPU at 2.2GHz, the execution times on a per prediction basis were 364μs for the 4-class implementation, and 410μs for the 7-class implementation. On the Spectrum Digital TMS320C6713 DSP development board at 225MHz, the 4-class SVM implementation uses 125ms and the 7-class version needs 165ms. After careful examination of the DSP architecture, the following are implemented to improve the performance: (1) number of memory accesses is greatly reduced via programming technique, (2) the L2 cache is better utilized, and (3) the number of branch statements is reduced. As a result, the run time for 4-class SVM is improved from125ms to only 9ms, and from 165ms to 11ms for the 7-class implementation. On the Nvidia Geforce GT 540m graphics card at 1334MHz, the 4-class SVM needs 798μs, and the 7-class implementation requires 845μs. Again, the GPU's architecture is investigated and the following are used to improve the performance: (1) eliminating excessive memory accesses, (2) taking advantage of memory coalescing, and (3) the use of the reduction method. The improvements resulted in a decrease in the execution time from 798μs to 175μs for the 4-class SVM implementation and from 845μs to 200μs for the 7-class implementation. Because the three architectures studied here are incorporated in three very different systems, running at different clock speeds, a direct comparison of the run time is not possible. The DSP system runs at roughly 10 times slower clock speed than the Intel i7 core system, and achieved more than 20 times slower run times. We cannot directly extrapolate this result; however, we observed that DSP does have its drawbacks when implementing the SVM algorithm. The DSP processor was designed specifically to support computationally intensive DSP algorithms. However, SVM algorithm is somewhat different from traditional DSP algorithms and thus some DSP architectural features are not applicable. From the experimental results, we may observe that GPU is most suitable for the SVM algorithm. Even though it runs at a lower clock speed, about 60% of that of Intel i7 core, with the performance improvement techniques, the GPU outperforms the i7 counterpart. This may be attributed to the GPU's architectural support for parallel computations and its flexibility to adapt to various computationally intensive algorithms.
Classification of Human Emotion from Deap EEG Signal Using Hybrid Improved Neural Networks with Cuckoo Search

Department of Computer Science and Engineering, Anna University Regional Centre, Coimbatore, India m.sribtechit@gmail.com J. Preethi Department of Computer Science and Engineering Anna University Regional Centre, Coimbatore, India preethi17j@yahoo.com Emotions are very important in human decision handling, interaction and cognitive process. In this paper describes that recognize the human emotions from DEAP EEG dataset with different kind of methods. Audio – video based stimuli is used to extract the emotions. EEG signal is divided into different bands using discrete wavelet transformation with db8 wavelet function for further process. Statistical and energy based features are extracted from the bands, based on the features emotions are classified with feed forward neural network with weight optimized algorithm like PSO. Before that the particular band has to be selected based on the training performance of neural networks and then the emotions are classified. In this experimental result describes that the gamma and alpha bands are provides the accurate classification result with average classification rate of 90.3% of using NNRBF, 90.325% of using PNN, 96.3% of using PSO trained NN, 98.1 of using Cuckoo trained NN. At last the emotions are classified into two different groups like valence and arousal. Based on that identifies the person normal and abnormal behavioral using classified emotion.
Prevalence and factors associated with injuries among children aged 12 years and below admitted to hospitals in Nyeri County, Kenya

Purpose: Injury and violence is a major killer of children throughout the world, responsible for about 950 000 deaths annually, in children and young people under the age of 18 years. The World Health Organization identifies burns, falls, road traffic injuries (RTIs), poisoning and drowning as the major causes of injuries in children. In Kenya, injuries are the 5th leading cause of morbidity among patients attending health facilities while in Nyeri County; they are the 3rd leading cause of mortality among those attending health facilities. The objective of this study was to determine the prevalence, characteristics and factors associated with injuries among children aged 12 years and below admitted in hospitals in Nyeri County.Methodology: A cross-sectional study was conducted from June 2013 to August 2013.Systematic random sampling was used to enrol patients based on hospital monthly inpatient workload. Information on socio-demographic characteristics, clinical characteristics, length of hospital stay, and outcome was collected from parents/guardians using interviewer administered questionnaires. For the patients presenting with injuries, further information on cause and circumstances surrounding the injury was collected. Medical records of all the patients were reviewed to verify clinical and socio-demographic data. Univariate, bivariate and multivariate analyses were performed.Results: Of the 415 patients enrolled into the study, 108 (26%) presented with injuries, with a median age of 39 months (range: 7-144), males being the majority at 67(62%). The leading causes of injuries were burns 41(38%), falls 38(35%), cuts 13(12%) and poisoning 9(8%). Eighty-six (80%) of the injuries occurred at home, 70(65%) during play and 67(62%) in the absence of an adult/care taker. Independent risk factors associated with injuries were; parents spending 5years [AOR=2.6; 95% CI (1.4-4.9)]; low SES [AOR=2.5; 95% CI (1.3-4.7)] and previous history of injury [AOR=4.0; 95% CI (1.6-10.1)]. Prevalence of injuries is high among males and patients above 5 years of age. Burns, falls, cuts and poisoning were the leading causes of injuries. Policy recommendation:Based on the result findings, the study recommended that there was need for the facilities and the county to intensify data collection and analysis for action. Local prevention programs should focus on home environment as this is where most of injuries occur. It was further recommended that there was a need to establish an injury surveillance system and repository for injuries, which ideally will be utilized at all the hospitals in the County. The surveillance system could then be used to enhance injury data collection, establish prevention and treatment strategies, and measure outcome.
Exporting and innovation performance: Analysis of the annual Small Business Survey in the UK

This paper analyses the determinants of the export propensity of UK small and medium-sized enterprises (SMEs) based on the 2004 Annual Small Business Survey. Particular emphasis is placed upon the relationship between innovation activities (distinguishing product from process innovation) and export performance. In general the data suggest that some 17 per cent of firms within this group sell outside the UK. Businesses that export are also characterized by high levels of innovation activity (43 per cent of exporters innovate in products, 27 per cent innovate in process and 21 per cent innovate in both). When considering product and process innovation independently we find that both impact positively on the decision to export. However, once we consider the interdependence between both innovation activities, we find no robust evidence that process innovation increases the probability to export beyond product innovation.
The impact of innovation strategy on organizational learning and innovation performance: Do firm size and ownership type make a difference?

Though innovation strategy and organizational learning have been credited to impact on product innovation performance, they have been rarely considered in a single model simultaneously. Thus, the main aim of the paper is to investigate the extent of impact of innovation strategy on organizational learning and product innovation performance. A structural equation modelling analysis was performed on the survey data collected from Ethiopian textile and leather product manufacturing firms. The result reveals that innovation strategy is positively related to product innovation performance. Further, firm size and ownership type moderate the effect of innovation strategy on product innovation performance.
The Effects of American Policies - A New Classical Interpretation

The world economy is modelled by linking nine small country models of the 'new classical' type, and adding three blocs of trade equations to cover the smaller economies. The model (like the Liverpool Model of the United Kingdom) assumes rational expectations and market clearing (there are union and non-union sectors in the labour market). These assumptions distinguish it from available multi-country models such as Project Link, which tend to be very large and preserve a traditional Keynesian approach. Policy simulations show that bond-financed United States deficits generate approximately 100 percent 'crowding out' through higher interest rates, while United States monetary policy is very potent (a 1 percent once-for-all rise in the money supply raises world GNP by 0.8 percent in year 1). Recent world experience is argued to be consistent with these results. The large United States deficits have not been 'stimulatory' but have raised world real interest rates substantially. The United States monetary contraction in 1980-81 and expansion in late 1982 have been the major cause of the latest world business cycle. The model also indicates that, even though theoretically possible, international 'fine-tuning' is unnecessary as the model is fairly rapidly self-stabilising. Planned 'locomotive' policies - i.e., rises in budget deficits and money growth - will have their principal effect on inflationary expectations. Predictability of policy is clearly desirable. At the 'micro' country level, it would pay EEC governments to borrow less when United States deficits have pushed world interest rates up; this would ease pressure on the world capital market.
Genetic variation of indigenous, improved and exotic Allium sativum germplasm

The present experiment was conducted at the Horticulture Farm of the Bangladesh Agricultural University, Mymensingh during the period from November, 2010 to April, 2011 to study the field performance and genetic variation of different germplasm of garlic. The experiment was carried out with 25 garlic germplasm, which were collected from different parts of Bangladesh, Tunisia, Turkey, Florida, China and Vietnam. Results review that all the treatments vary significantly among themselves regarding plant height, number of leaves, length of leaves, fresh weight of leaves, fresh weight of root, fresh weight of bulb, dry weight of leaves, dry weight of root, dry weight of bulb, diameter of bulb, number of cloves and yield of bulb per hectare. The relationship among the different variables especially with yield was done by Pearson's correlation and multiple regression analyses. Different qualitative characteristics of 25 garlic germplasm namely color of leaf, shape of leaf, color of bulb, shape of bulb, predominant bulb scale and secondary clove skin color were also studied. The correlation analysis revealed that the yield of bulb per hectare is significantly correlated with length of leaves and number of cloves per bulb. From the study of heritability on broad sense, it was very high in height of plant, length of leaves, fresh weight of leaves, yield of bulb, fresh weight of root, dry weight of root and number of cloves per bulb. The genotypic and phenotypic variances were found to be low and moderate among the germplasm. The difference between Genoptypic co-efficient of variance (GCV) and Phenotypic co- efficient of variance (PCV) were very low in relation to height of plant and fresh weight of leaves; moderate in number of leaves per plant and other parameters.
Suffering in Silence: The Survey of Law Student Well-Being and the Reluctance of Law Students to Seek Help for Substance Use and Mental Health Concerns

This article reports the results of the Survey of Law Student Well-Being (SLSWB) implemented in spring 2014 at fifteen law schools around the country. The SLSWB is the first multischool study in over twenty years to address law student use of alcohol and street drugs, and the first-ever multischool study to explore prescription drug use and the mental health concerns and help-seeking attitudes of law students. The results of the study indicate that roughly one-quarter to one-third of respondents reported frequent binge drinking or misuse of drugs, and/or reported mental health challenges. Moreover, the results indicated that significant majorities of those law students most in need of help are reluctant to seek it. The article concludes by discussing how law school administrators and other relevant leaders within the legal academy and legal profession can promote and improve wellness so that law students are better-positioned to find success as law students and to serve their future clients well as lawyers.