Miracle-dz/UniFAR-FTUs huggingface dataset:
Institutional Aggression : Psychometric Development of a Predictive Risk Assessment Screening Tool

Aggression among those with mental illnesses has been extensively reviewed. Research has shown that aggression within an intuitional or hospital setting, that is presently termed “Institutional Aggression,” threatens the ability to provide a safe and therapeutic environment for both patients and staff. Although earlier measures have been designed to address this construct, the present study examines Institutional Aggression based on the parameters of the Overt Aggression Scale (OAS; Yudofsky, Silver, Jackson, Endicott, & Williams, 1986). The purpose of the current study was to determine the predictive relationship between clinical and sociodemographic factors and the rate of Institutional Aggression with the intention to create a risk assessment screening measure. Although significant predictive relationships were revealed, results offered little information about characteristics of those likely to commit acts of aggression due to small percentages of the variability accounted for by the model. Future research is necessary to further investigate the way in which static and dynamic variables interact with one another in order to develop a clearer picture of the reasons why individuals engage in aggression, both within and exterior to institutional settings. With a greater understanding of the aforementioned, targeted interventions may be developed to address the global concerns both of improving the therapeutic environment and of limiting aggressive behaviors. INSTITUTIONAL AGGRESSION v Table of
Efficacy of Reduced Dose of Fungicide Sprays in the Management of Late Blight (Phytophthora infestans) Disease on Selected Potato (Solanum tuberosum L.) Varieties Haramaya, Eastern Ethiopia

Potato is the most worldwide important tuber crop. Potato late blight disease is the major bottleneck in potato production in Ethiopia. The Field experiments were carried at Haramaya University during 2010 to determine the efficacy of reduced dose of fungicide sprays in the management of late blight disease on selected potato varieties. Combinations of five potato varieties with different levels of resistance and five rates of Ridomil applications were used. The experiment was laid out in a factorial arrangement in randomized complete block design with three replications. The combination of moderately resistant, moderately susceptible and susceptible varieties with different rates of Ridomil applications varied significantly (P < 0.001) in disease severity, disease progress rate and area under disease progress curve. Onset of the disease was delayed by almost 20 days on the moderately resistant varieties as compared to the moderately susceptible and susceptible varieties. Up to 80, 76, 75.5, 69 and 68% severity reduction was obtained from the varieties Bedassa, Gabissa, Chiro, Harchassa and Zemen plots treated with Ridomil at 3 kg ha -1 rate of application, respectively. The highest disease severity and lowest yield were recorded from the control plots, especially on moderately susceptible and susceptible varieties. The best management of late blight and high marginal rate of return was obtained on plots treated with combinations of all tested potato varieties and 0.75 kg ha -1 Ridomil applications followed by 1.5 kg ha -1 Ridomil. The lowest rate of marginal return was obtained at combinations of these varieties with the 3 kg ha -1 Ridomil. This study revealed that reduced rates of Ridomil resulted in better management of potato late blight. However, further studies at different agro-ecological zones of the country are important for preference of potato varieties and specific rates of Ridomil as opposed to approval of the blanket recommendation of the manufacturer. Keywords: Late blight, Potato, Area under disease progress curve, Ridomil, Disease severity.
Entitlement attitude in the workplace and its relationship to job satisfaction and organizational commitment

participants and procedure Two independent studies were conducted to examine the discussed relationships. In study 1 and study 2 there participated respectively 110 and 95 full-time employees from both genders working in public and private organizations. The 30-item Bulgarian version of the Entitlement Questionnaire was used. Job satisfaction measurement included employees’ affective response to their overall job and to various aspects of their job. The three aspects of organizational commitment (affective, instrumental and normative) were measured.
Profit and Cost Efficiency of Philippine Commercial Banks Under Periods of Liberalization, Crisis and Consolidation *

This paper examines the profit and cost efficiency of commercial banks in the Philippines from 19922004—covering periods of financial liberalization, crisis and consolidation. Two-stage procedure is employed. The first method involves the estimation of profit and cost efficiency using the stochastic frontier approach. Results indicate that profit efficiency slowly decreased from a mean score of 92% in 1992 to 84% in 2004 while cost inefficiency hovers around 11% to 12% from 1992 to 1998, and then jumps to 14% to 15% from 1998 to 2004. Efficiencies are found to be inversely related to asset size. Off-balance sheet services are found to be costabsorbing, and substitute for traditional banking products. Elasticities of the prices of labor and deposits are found to be negative, providing evidence for the use of more and low-cost labor and the abundance of deposits as cheap source of funds. In the second stage, regression shows profit efficiency scores of universal banks are significantly higher than plain commercial banks, suggesting scope economies from expanded and equity investment activities of universal banks. Foreign banks are more cost inefficient due to higher personnel cost. Modest improvement in bank efficiency after liberalization in 1994 is registered but cost inefficiency increased in the aftermath of the Asian financial crisis. Acquired banks in mergers are not necessarily inefficient, and the weighted efficiency scores of the acquired and surviving banks before the merger have not improved three years after the merger, suggesting that synergy gains need a longer time to be realized.
Fallback accretion on to a newborn magnetar: short GRBs with extended emission

There are a subset of short gamma-ray bursts (SGRBs) which exhibit a rebrightening in their high-energy light curves known as extended emission. These bursts have the potential to discern between various models proposed to describe SGRBs as any model needs to account for extended emission. In this paper, we combine fallback accretion into the magnetar propeller model and investigate the morphological changes fallback accretion has on model light curves and fit to the afterglows of 15 SGRBs exhibiting extended emission from the Swift archive. We have parameterised the fallback in terms of existing parameters within the propeller model and solved for the disc mass and angular frequency of the magnetar over time. We then apply a Markov chain Monte Carlo routine to produce fits to the data. We present fits to our extended emission SGRB sample that are morphologically and energetically consistent with the data provided by Swift BAT and XRT telescopes. The parameters derived from these fits are consistent with predictions for magnetar properties and fallback accretion models. Fallback accretion provides a noticeable improvement to the fits of the light curves of SGRBs with extended emission when compared to previous work and could play an important role in explaining features such as variability, flares and long dipole plateaux.
Regionalisation of demographic and economic projections

Territorial cohesion or territorial disparities? Two alternative scenarios for regional growth. Demographic and economic projections are essential tools in many domains of policy making. They allow policymakers anticipating future trends and explore alternative scenarios, and provide the basis to assess impacts of policies. This report regionalises recently published EU reference demographic and economic projections from country to NUTS3 level. Two alternative scenarios have been used to carry out the regionalisation: ‘trend’ and ‘convergence’. In the trend scenario recent observed growth rates continue, whereas in the convergence scenario less developed regions grow faster than more developed ones. While the trend scenario accentuates current territorial disparities generating more concentration of production and population, the convergence scenario promotes a more balanced growth and therefore more territorial cohesion.
On the Scalable Generation of Cyber Threat Intelligence from Passive DNS Streams

Domain Name System (DNS) has become an important element of recent cybercrime infrastructures. Indeed, DNS protocol is being used, for instance, to operate infected machines and transport malicious payloads. In this context, it is of paramount importance to analyze passive DNS streams in order to generate timely and relevant cyber threat intelligence that can be used to detect, prevent and attribute cyber attacks. In this thesis, we explore the analysis of the aforementioned streams in order to detect DNS anomalies that correspond to cyber incidents. By DNS anomaly, we mean any deviation from what is expected in terms of regular DNS activities (queries/responses). The identification of these anomalies leads to precious intelligence that could pinpoint domains that are involved in malicious activities (e.g., spamming, botnets, phishing, DDoS, etc.). We propose, design and implement a system that analyzes, in near-real-time, passive DNS streams and generates cyber threat intelligence in terms of: suspicious domains, DNS record abuse and passive DNS anomalies. We correlate the generated intelligence with other sources of intelligence such as our malware database. We dedicate a special care to the scalability of the proposed system. In addition to picking appropriate data structures and database technologies, we proceed with the distribution of the analysis over a cluster of computers using the so-called map/reduce paradigm with the Apache Spark framework. Our experiments show that our system is efficient and scalable while generating important, relevant and timely cyber threat intelligence.
Explaining Poverty Evolution: The Case of Mozambique

Measuring poverty remains a complex and contentious issue. This is particularly true in sub-Saharan Africa where poverty rates are higher, information bases typically weaker, and the underlying determinants of welfare relatively volatile. This paper employs recently collected data on household consumption in Mozambique to examine the evolution of consumption poverty with focus on the period 2002/03 to 2008/09. The paper contributes in four areas. First, the period in question was characterized by major movements in international commodity prices. Mozambique provides an illuminating case study of the implications of these world commodity price changes for living standards of poor people. Second, a novel ‘backcasting’ approach using a computable general equilibrium model of Mozambique, linked to a poverty module is introduced. Third, the backcasting approach is also employed to rigorously examine the poverty-growth-inequality triangle. Finally, various simple but useful and rarely applied approaches to considering regional changes in poverty rates are presented. We find that the national poverty rate in Mozambique stagnated between 2002/03 and 2008/09.
Modeling granular layer local field potential using single neuron and network based approaches to predict LTP/LTD in extracellular recordings

Local field potentials (LFPs) are recorded as waveforms of extracellular activity that arise from complex interactions of spatial distribution of current sources, time dynamics, spatial distribution of dipoles apart underlying conductive properties of the extracellular medium. We reconstructed granular layer post-synaptic LFP by two different approaches in order to test and parameterize the molecular mechanisms of cellular function with network properties. In the first, we used a single granule neuron as a model kernel for reconstructing population activity. The second approach consisted using a detailed network model. LTP and LTD could regulate the spatiotemporal pattern of granular layer responses to mossy fibre inputs. The effect of changes in synaptic release probability and modulation in intrinsic excitability of granule cell on LFP was studied. The study revealed cellular function was represented in LFP wave revealing the activity of underlying neurons. Changes to cell during LTP and LTD were reflected by LFP wave as an indicator of the function of granule neurons as spatial pattern generators. Both modeling approaches generated LFP in vitro [16] and in vivo [17] waveforms as reported in experiments.
Bacterial growth control in marine environments : from experimental approaches to comparative analyses

To understand (1) the role of heterotrophic bacteria in the biogeochemical cycles, (2) the fate of the organic carbon and mineral nutrients, and (3) the flow of energy to higher trophic levels, we need to understand how bacterial growth is controlled in marine environments. The main hypotheses about the control of bacterial growth are based on the studies about bottomup control (limiting resources) and top-down control (predators and viruses), that is, how bacteria interact with their ‘neighbors’ in the microbial food web. Using microand mesocosm experiments, comparative analyses, plus an idealized model to test different predictions, this thesis evaluates the role of heterotrophic bacteria in the utilization of organic matter in different marine environments. The effects of mineral nutrients, organic carbon and predator control over bacterial growth are also investigated. Bacterial growth rates can be controlled by carbon or/and mineral nutrients depending on the biological oceanographic conditions (Papers I and II). Both types of bacterial growth limitation (carbon and mineral nutrient) can co-exist simultaneously depending on the structure of the microbial food web, mineral nutrient and labile organic carbon concentration. Dominance of nano-phytoplankton, which can be grazed by rapidly responding micro-zooplankton (e.g. idealized model in Paper IV), will shifts more rapidly to a carbon limited bacterial growth, thus, heterotrophic bacteria may use all labile organic carbon preventing its accumulation in the euphotic zone (Paper I). Contrary, dominance of large diatoms, which can be grazed by slowly responding copepods, can keep labile organic carbon produced by copepod (e.g. sloppy feeding) and bacterial growth can be limited by mineral nutrients (i.e. competition of nutrients with diatoms) (Paper II) shifting the system slowly to carbon limited bacterial growth control. Different rates of organic carbon utilization by bacteria can be estimated in manipulated mesocosm experiments by adding mineral nutrients (i.e. silicate, ammonium and nitrate) and by the effect of supply
Hislop, Jane F. and Bulley, Catherine and Mercer, Tom H. and Reilly, John J (2012) Comparison of epoch and uniaxial versus triaxial accelerometers in the measurement of physical activity in preschool children

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A Comparative Analysis on Cognitive Domain for the Malaysian Primary Four Textbook Series

The purpose of this study is to investigate the levels of cognitive domains of Malaysian Mathematics primary four textbooks developed under the old and new curriculum based on Trends in International Mathematics and Science Study (TIMSS) 2015 Mathematics Framework. This study adopted content analysis where the mathematical tasks from the textbooks were classified in terms of type of tasks and cognitive domain. The results of the study showed that a large portion of mathematical tasks in the two textbooks are in the ‘knowing’ domain even though improvements have been made in the new version of mathematics primary four textbook which has more mathematical tasks in ‘applying’ and ‘reasoning’ domain compared to the old textbook. The findings of the study suggest the structure of Malaysian textbook to be updated to the current world changes by increasing the tasks in applying and reasoning domain. However, the effort to reduce the gap between the intended curriculum and the supporting textbooks need to be carefully planned such that students of different abilities can benefit. Meanwhile practitioners have to be smart in selecting and providing extra supplementary resources to serve the need of their students.
Ranking the AR4 climate models over the Murray‐Darling Basin using simulated maximum temperature, minimum temperature and precipitation

We assess the capacity of models submitted for the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4), to simulate the maximum and minimum temperatures and precipitation over the Murray‐Darling Basin (Australia). We use daily data from the AR4 to calculate the mean of these three quantities, but we also derive probability density functions (PDFs) for each variable. We quantify the skill of each climate model to simulate the probability density function as a basis of assessing those models with significant capacity over the basin. We show that Commonwealth Scientific and Industrial Research Organization (CSIRO), Insitut Pierre Simon Laplace (IPSL), and MIROC‐m capture the observed PDFs of maximum and minimum temperature and precipitation relatively well. Other models capture one or two of these variables well but show limitations, or could not be assessed, in a third. We, therefore, recommend these three models to users of model results, but note that this recommendation is limited to this basin. However, our methodology provides quite a straightforward and quantitatively based means to choose climate models for impact assessment in any data‐rich region. Specifically, we note that to demonstrate skill in simulating the daily derived PDFs is far more challenging than just simulating the mean (as a model can simulate the mean well by averaging large biases of opposite sign). Our method therefore provides a more robust foundation for using a model in impacts assessment. Copyright © 2007 Royal Meteorological Society
What is alternative about Alternative Agri-Food Networks? A research agenda towards an interdisciplinary assessment

The paper outlines a framework of the existing literature upon Alternative Food Networks moving from four different although interrelated standpoints: territorial, environmental, economic, and sociological. The territorial perspective will highlight the modalities through which agri-food networks are organised at different geographical scales and affect the territories they are linked to. The environmental analysis will urge to go beyond a simple, even if very complex to study, “Life Cycle Assessment” to take into account the multi-functionality of farms and the territorial dimensions of the area where the supply chains is placed. The economic standpoint will outline the necessity to examine both the economic determinants of the farmers’ choice to use the AFNs and the mechanisms explaining why consumers are using, from the demand side, the same chains. Finally, the sociological analysis will point to the mechanisms through which quality conventions emerge and diffuse in AFNs.
Morphological analysis of design sessions

There is no consensus within the design research community on how to analyse design meetings. In contrast to models which conceive designing as a strict goal-directed process, we think at an interpretative approach suggesting a methodical reorientation. We were interested in exploring whether previously neglected design methods can be adopted for use as analytic tools for design meetings. Specific tools for this purpose are morphological charts and morphological overviews. Based on the definition of design by the C-K theory, we have used morphological overviews to reconstruct the emergence of design concepts in architectural meetings. This was done by analyzing video recordings of these meetings. Our results show that morphological charts are useful for the analysis of design meetings as they were being capable of presenting the development of design concepts. Morphological charts proved to be effective in reducing the time needed to analyze a rich set of data. We believe this complexity reduction offers the possibility of doing research on more (complex) design meetings more effectively, which is beneficial for generalization of findings.
Effect of Some Organic Acids on Seed Vigor and Health of Some Rice Cultivars

The present study was conducted at Laboratory of Seed Technology Research Unit, Mansoura, Seed Technology Research Department, ARC, Egypt during 2013. Organic acids are known for their antibacterial and antifungal properties. The purpose of the research was to study, the effect of salicylic acid and benzoic acid and propionic acid treatment on rice seed germination, vigor and infestation with fungi. Seed samples cultivars Giza 178, Giza 177 and Sakha 106 were soaked with organic acid solutions at concentrations 10, 15, 20 mM and control were soaked in distilled water for 24 h to each treatments. Giza 178 cv. gave the highest results of seed and seedling vigor characters followed by Giza 177 cv. and Sakha 106, respectively. Seed treatment with salicylic acid 15 mM was the best treatments followed by benzoic acid 10 mM and propionic acid 15 mM recorded the highest values of seed germination, seed and seedling vigor as concentrations. SA reduced seed infestation with fungi with increasing concentrations followed by propionic acid and benzoic acid, respectively. However, increased to propionic acid concentration were negatively affected seed germination and vigor with all cultivars.
An Adaptive Camera and Lidar Joint Calibration Algorithm

In large mechanism intelligent control system, cameras and lidars are usually mounted to obtain environmental information. In order to fuse the information of camera and lidar, joint calibration is essential to place their data under the same coordinate system. To solve the problem of camera and 3D lidar joint calibration, an adaptive joint calibration method is proposed. Only one planar calibration board is needed for the calibration. In the nonlinear optimization procedure, the camera extrinsic parameters and optimized together with the rotation matrix and translation vector from lidar to camera coordinate. Compared with the method of fixed camera parameters, average calibration error decreases by 22.50%. By using weighed lidar data, calibration error further decreases by 8.80% in average.