Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Integrated Nutrient Management Practices on Growth and Yield of Summer Mungbean ( Vigna Radiata L . )

Field experiment was carried out to study the effect of integrated nutrient management practices on growth and yield of summer mungbean at Research Farm, J.N. K.V. V. , College of Agriculture, Tikamgarh (Madhya Pradesh), India during summer 2012. The experiment was laid out in randomized block design replicated thrice with 10 different nutrient management treatments. The results revealed that integration of 100% RDF + Vermicompost @ 1.0 t/ha + Rhizobium resulted into significantly greater plant height (52.3 cm), number of primary branches/plant (5.8), higher total dry matter accumulation (19.6 g/plant) at harvest, maximum leaf area index (3.0) at 45 DAS, number of pods/plant (13.5), number of seeds/pod (10.6), 1000 seed weight (36.4 g) and seed yield (1081.1 kg/ha) in comparison to other nutrient management treatments. Therefore application of 100% RDF + Vermicompost @ 1.0 t/ha + Rhizobium would be useful to enhance the productivity of summer mungbean.
Shear Displacements as Function of Ductility Levels for Squat Reinforced Concrete Walls

Squat RC walls (aspect ratios less than 2.0) are frequently used in building structures to provide lateral stiffness. Different types of failures have been observed in past experimental tests of squat RC walls depending on the levels of reinforcement ratios, the level of inelastic action and design philosophy. According to previous studies shear displacements on these structural systems can contribute as much as 80% of the total displacements. This paper presents a study of the shear displacements of squat RC walls as function of the displacement ductilities. Existing data from experimental tests have been reviewed together with existing simplified methods to determine the shear displacements in RC elements. It was found that some of the existing methods underestimate or overestimate the shear deformations, but the agreement is better for walls with aspect ratios higher than 0.50. The paper provides recommendations for future research in this topic.
FORCE CAPABILITY MAXIMIZATION OF A 3 RRR SYMMETRIC PARALLEL MANIPULATOR BY TOPOLOGY OPTIMIZATION

This paper shows how the force capability of a 3RRR symmetric parallel manipulator can be maximized from the optimization of its topology. The objective function of the optimization problem of force capability is defined by employing the Screws Theory and Davies’s method as a primary mathematical tool. In order to solve the problem regarding the global optimization, an evolutionary algorithm known as Differential Evolution (DE) is used. The proposed method is analysed through specific case studies and evaluated by comparing results versus theoretical methodologies. The key difference from other studies, is that the proposed method allows to optimize the force capability and the topological characteristics of the manipulator at the same time.
Fracture-energy scaling in dynamic models of past earthquakes as a constraint Constraining Dynamic Source Properties from Finite-Source Rupture Models of Past Earthquakes Earthquakes as a constraint for physics-based ground-Motion simulations

We analyze the scaling of average dynamic source properties (fracture energy, static stress drop and dynamic stress drop) from a suite of 33 kinematic inversion models from 22 crustal earthquakes. Shear-stress histories are first computed solving the elastodynamic equations by imposing slip velocity, obtained from kinematic inversion, as a boundary condition on the fault plane. This is achieved by means of a 3D finite difference method in which the rupture kinematics are modeled with the Staggered-Grid-Split-Node (SGSN) fault representation method of Dalguer and Day (2007). Dynamic parameters are then estimated from the calculated stress-slip curves and averaged over the fault plane. We show that fracture energy is highly sensitive to average rise-time and to the roughness degree of static slip. An uncertainty analysis reveals that despite the poor resolution of kinematic inversion models, our dynamic parameter estimations are rather stable. Our results indicate that fracture energy and stress drop increase with magnitude. Given the sensitivity of fracture energy to slip roughness, we propose new scaling relations (fracture energy vs. seismic moment and slip roughness) that may be useful to constrain the initial conditions in spontaneous dynamic rupture calculations for earthquake source studies and physics-based near-source ground-motion prediction for seismic hazard and risk mitigation.
PHYSIOLOGICAL ADAPTATIONS OF HENNA PLANT (LAWSONIA INERMIS L.) TO DIFFERENT IRRIGATION CONDITIONS IN TUNISIAN ARID REGION

In this study, we aim to investigate the photosynthetic adaptation of henna plants to various irrigation regimes and describe the effects of water stress on their growth performance and chlorophyll contents. For this reason, an experiment of four months was conducted. Henna plants were first grown in a greenhouse and then, exposed to three different irrigation regimes, whereby, they were irrigated up to the field capacity (FC) of 0% (control, T0), 50% of the control (moderate stress, T1) and 25% of the control (severe stress, T2). Results showed that exposure to drought induced an important decrease in gas exchange and photosynthetic pigment contents as compared to control. These shifts became more pronounced under severe stress (T2). Furthermore, after two harvests made, stomatal conductance and photosynthetic assimilation rates were significantly reduced under T2 conditions. In addition, a decline in total Chlorophyll amount and shoot dry weight was noticed, whereas, increases in the intrinsic water use efficiency and in the root-shoot ratio were discerned, especially, under the severe drought. These results revealed a close relationship between henna plants and irrigation dose and showed that for photosynthesis process and growth performance, the most appropriate water regime was the moderate stress (T1) rather than the severe stress (T2).
Capital Structure and the Firm Determinants : Evidence from Small and Medium Enterprises ( SMEs ) in Malaysia

We examine the determinants of capital structure of small and medium enterprises (SMEs) by utilizing the data of 15,323 companies only for the year 2007 covering the northern area of Peninsular Malaysia such as the state of Perak, Penang, Kedah and Perlis. By conducting cross-sectional data analysis, we found that the determinants factor such as size, profitability and tangible asset is significantly related to long term debt. Size and tangible assets have a persistent and consistent negative and significant relationship with long term debt. Further, profitability is found to be significantly and positively related to long term debt. However, the study found that the liquidity has no impact on long term debt in SMEs.
EFFECT OF ROTOR VARIABLES ON THE PHYSICAL PROPERTIE S OF JUTE-VISCOSE BLENDED YARN

Physical properties are very important for post-spi nning operations as well as for determining some final fabric characteristics. This paper is concerned with the investigation of physical properties such as tensile strength, tenac ity, elongation% at break and yarn evenness of jute-viscose blended rotor spun yarn changing the p rocessing parameters. The processing parameters included opening roller speed, rotor spe ed and yarn linear density. This works reports the successful outcome of attempt to manufacture 30 , 40, 50, 60, 80 tex rotor spun yarn using viscose and jute fibers blending at 80 : 20 ratio. The results show that opening roller speed, rotor speed and yarn linear density have considerable inf lue ce on tensile properties and yarn evenness. Yarn tenacity and breaking elongation% increases wi th the increase in opening roller speed up to 8500 rpm and then start reducing.
Computational Noise Prediction from Trailing Edge Flows

We characterize the impact of near-field turbulence and boundary layer thickness for a 45◦ beveled trailing edge by investigating two different inflow boundary layer thicknesses. Noise from this type of scenario is important for propellers, airfoils, fans and marine propulsors. This geometry has been investigated experimentally by Olson and Mueller (2004) and Shannon and Morris (2006), Shannon et al. (2006) and computationally by Wang (2005) but boundary layer sensitivity has not been studied previously. Large-eddy simulation (LES) is performed at the experimental boundary layer conditions as well as a boundary layer momentum thickness ξ which is eighteen times smaller. A porous FfowcsWilliams and Hawkings (FWH) Ffowcs-Williams and Hawkings (1969) acoustic analogy is used to solve for the far-field noise and shows good agreement with experimental results. The acoustic analogy is compared to a Curle based formulation where the surface terms are used as the sources in conjunction with a specialized half-plane Green’s function. The scaling of noise production with the physical properties which produce acoustic sources are discussed. Comparing and contrasting the two boundary layer thicknesses demonstrates that the noise produced in the lower half plane is fairly insensitive to boundary layer thickness because of the shedding vortex. The noise produced in the upper half plane however is strongly related to the boundary layer thickness. The separation point is similar between both cases, but the near field turbulent intensities contribute to the increased noise for the thicker boundary layer case.
A motor control framework for the fast control of a 3 D musculoskeletal arm motion using muscle synergy

This paper presents a general framework for the fast and efficient feedback control of musculoskeletal systems based on muscle synergies. In the proposed framework, a feedback control logic defines the reference trajectories in the task-space. In the lower level of the control hierarchy, the reference trajectory is translated to muscle activations via muscle synergies. The simulation results show that the proposed framework can control the the motion of a three degree of freedom and three dimensional musculoskeletal system quickly with near-optimal muscle activations.
EFFECT OF SURFACE TEXTURING ON HYDRODYNAMIC PERFORMANCE OF JOURNAL BEARINGS

The request to use hydrodynamic journal bearings in different industries consisting high speed and high load are commonly demanded. The necessary of improving its performance is a significant objective. In this paper, the effect of partially textured surface of hydrodynamic long journal bearing on the pressure distribution and load carrying capacity was studied. Based on governing Reynolds equation, the equations of pressure distribution and load carrying capacity were derived and their trends were represented. The results show that, applying partial surface texture had a positive and remarkable effect on functional characteristics of hydrodynamic journal bearings, i.e. load carrying capacity and lubricant film pressure.
LOADED CARBON COMPOSITE SCARF JOINTS SUBJECT TO QUASI STEADY LATERAL LOADS

A study was conducted to assess the strength of carbon epoxy composite panels incorporating a 5° scarf joint under various levels of tensile prestrain, subjected to a quasi-static lateral force. This lateral force was intended to simulate an impact event, where quasi-static loading was applied instead of a dynamic impact load to remove the effect of strain rate on the adhesive properties. An experimental investigation indicated that the failure load was significantly different for a range of in-plane prestrains between 0 and 4,000 με. This was due to the change in bending stiffness of the structure as a result of the prestrain. Finite element modelling was conducted to validate the experimental results. The experimental results correlated well with the theoretical findings. The implications of this study in relation to the impact behaviour of scarf repairs are also discussed.
Performance Evaluation of Semi-Active Equipment Isolation for Seismic Protection Using MR Dampers

Sensitive equipment, are vulnerable to strong earthquakes, and failure of these equipment may result in a heavy economic loss. To control the seismic response of the equipment, magnetorheological (MR) dampers are appropriate devices, because of their high adaptability and reliability. This paper presents the performance evaluation of passive and semi-active control in the equipment isolation system for earthquake protection. In order to reduce the vibration of the equipment, in a seismically excited steel frame building, an MR damper is placed in parallel with the sliding friction pendulum isolation system, between the equipment and the floor. For the MR damper, phenomenological model based on Bouc-Wen model is used. In the analysis, two semi-active control algorithms, clipped-optimal and the maximum energy dissipation, and two passive control algorithms, passive-on and passive-off are employed. Simulation results demonstrate that the control technique is effective in protecting vibration-sensitive equipment from both far-field and near-field earthquake excitations.
The Effectiveness of Stress Management Programme on Depression , Stress , and Anxiety of Depressed Patients

Depression is a common mental disorder that presents with depressed mood, loss of interest or pleasure, feelings of guilt or low self-worth, disturbed sleep or appetite, low energy, poor concentration, and tendency to suicide, which can be seen in anybody regardless of age, gender, race, or socio-economic status. In most countries, the number of people who would suffer from depression during their lives falls within an 8–12% range. The aim of study was to evaluate the effect of stress management program with depressed patients on reducing stress, anxiety, and depression. Design: A quasi experimental design was used. Setting: The study was conducted at Psychiatric and Addiction Treatment Hospital in Mit-Khalf at Menoufyia, Governorate. Sample: A purposive sample of 30 depressed patients that were diagnosed by psychiatrists according to DSMIV. Data were collected using the depression, anxiety and stress scale. The collected data were analyzed using SPSS (Statistical Package for Social Sciences) version 21; t test for paired samples is used to test whether there is a significant difference between the mean of depression, anxiety and stress before and after applying the stress program. For quantitative demographic variables, Pearson correlation coefficient is calculated to measure the direction and strength of the correlation. To investigate the correlations between the three scales and some demographic variables, t tests for independent samples and one way ANOVA F tests were used for qualitative demographic variables. Results: The results revealed that, patients were in age group (30>60) years, 50% were female equal to male. There was highly statistically significant difference between pre (Measure 1) and post (Measure 2) intervention program regarding depression, anxiety and stress score levels. There was positive relation between depression, anxiety and stress such as when depression increases anxiety and stress increases. Conclusion: Implementation of stress management program with depressed patients has a positive effect on reducing stress, anxiety, and depression. Recommendation: Based on the results of this study we recommend use of stress management program for patients with depression to reduce stress, anxiety, and depression.
Running Head : EXISTENTIAL THREAT AND CONSPIRACY THEORIES 1 An Existential Threat Model of Conspiracy Theories

People endorse conspiracy theories particularly when they experience existential threat, that is, feelings of anxiety or uncertainty often because of distressing societal events. At the same time, such feelings also often lead people to support groups frequently implicated in conspiracy theories (e.g., the government). The present contribution aims to resolve this paradox by proposing an Existential Threat Model of Conspiracy Theories, which stipulates under what conditions existential threat does versus does not stimulate conspiracy theories. The model specifically illuminates that feelings of existential threat increase epistemic sensemaking processes, which in turn stimulate conspiracy theories only when antagonistic outgroups are salient. Moreover, once formed conspiracy theories are not functional to reduce feelings of existential threat; instead, conspiracy theories can be a source of existential threat in itself, stimulating further conspiracy theorizing and contributing to a generalized conspiracist mindset. In the discussion, I discuss implications of the model, and illuminate how one may base interventions on the model that breaks this cyclical process and reduces conspiracy beliefs.
CPTU/DMT Control of Heavy Tamping Compaction of Sands

Heavy tamping compaction method in cohesionless alluvial soil was evaluated with CPTU and DMT tests. Some examples of interpretation of soundings in pre-treated and compacted sands are given. The compaction work was performed in two stages. Compaction control was performed after each stage of tamping. Additional tests were performed two weeks after the compaction works completion to study the setup effect. While typical increase of cone resistance and sleeve friction in time was observed for CPTU tests, more complex phenomena was noted for DMT tests. If lateral stress index and dilatometer modulus increase with time, a decrease of material index of the compacted soil was observed. The effect of densification and set-up was analysed for angle of internal friction and Md/qc ratio. Changes in the soil classification induced by set-up are also considered. For a given relative density the lateral stress index was insensitive to compaction just after the work completion. Net increase of Kd in time was however recorded.
Aerothermodynamic Shape Optimization of Reentry Capsules Using DSMC and POD Methods

This paper presents a hybrid method based on proper orthogonal decomposition (POD) with a trained radial basis function (RBF) network, on direct simulation monte carlo (DSMC) solutions for aerothermodynamic front surface optimization of Stardust re-entry. Gaussian and multiquadric RBFs are implemented for comparison, and multiquadric functions are chosen due to their insensitivity to diverse shape parameters. Cubic uniform B-spline curves are used innovatively for parameterization of the geometry change, instead of curve fitting the geometry itself. This makes possible to reduce the number of design variables. Gradient based optimization strategy is implemented by regarding the distributions of pressure, shear stress and heat flux along the surface of the geometries. G.A. Bird’s two dimensional axisymmetric DSMC solver [1] is used as the physics solver, and 11 species air model are chosen with 41 chemical reactions according to atmospheric conditions of the re-entry. Different geometries are obtained via deviating the design variables arbitrarily to form a snapshot pool. In this manner, the approximation success of the POD-RBF methodology is tested on highly nonlinear flow conditions with arbitrarily chosen design of experiment. Finally, the optimized geometries are simulated via DSMC code and the solutions are compared with the solutions of POD-RBF network. Method lowered the optimization time extraordinarily and provided satisfactory results.
CODE REQUIREMENTS FOR LARGE WIND FARMS : A REVIEW OF TECHNICAL REGULATIONS AND AVAILABLE WIND TURBINE TECHNOLOGIES

This paper provides an overview of grid codes with regard to the connection of large wind farms to the electric power systems. The grid codes examined are generally compiled by Transmission System Operators of countries or regions with high wind penetration and therefore incorporate the experience after several years of system operation with significant penetration levels. The paper focuses on the most important technical requirements for wind farms, present in practically all grid codes, while reference is also made to additional requirements, present in certain codes. In addition, the capability of modern wind turbines to satisfy the above requirements is reviewed, especially their response to grid disturbances, demonstrating that recent developments in wind turbine technology provide to the wind farms stability and regulation capabilities comparable to those of conventional generating plants.
The Effects of Culture , Customer Focus , and Job Satisfaction on Frontline Employee ’ s Intention of Leaving

This study examines the effects of individualism and uncertainty avoidance on customer focus, job satisfaction, and intention of leaving. The study uses a sample of 298 frontline employees in Taipei‟s hotels. The hypothesized relationships are tested using LISREL 8.52 through path analysis. The results indicate customer focus is weakly predicted by individualism but significantly predicted by uncertainty avoidance. In addition, customer focus is positively related to job satisfaction, and is negatively related to intention of leaving. It is found that job satisfaction is negatively and directly associated with intention of leaving. Managerial implications and further research directions are discussed.
Text clustering with styles

This thesis mainly describes the author clustering problem where, based on a set of n texts, the goal is to determine the number k of distinct authors and regroup the texts into k classes according to their author. We iteratively build a stable and simple model for text clustering with styles. We start by designing a measure reflecting the (un)certainty of the proposed decision such that every decision comes along with a confidence of correctness instead of only giving a single answer. Afterwards, we link those pairs of texts where we see an indication of a shared authorship and have enough evidence that the same person has written them. Finally, after checking every text tuple, if we can link them together, we build the final clusters based on a strategy using a distance of probability distributions. Employing a dynamic threshold, we can choose the smallest relative distance values to detect a common origin of the texts. While in our study we mostly focus on the creation of simple methods, investigating more complex schemes leads to interesting findings. We evaluate distributed language representations and compare them to several state-of-the-art methods for authorship attribution. This comparison allows us to demonstrate that not every approach excels in every situation and that the deep learning methods might be sensitive to parameter settings. The most similar observations (or the category with the smallest distance) to the sample in question usually determines the proposed answers. We test multiple inter-textual distance functions in theoretical and empirical tests and show that the Tanimoto and Matusita distances respect all theoretical properties. Both of them perform well in empirical tests, but the Canberra and Clark measures are even better suited even though they do not fulfill all the requirements. Overall, we can note that the popular Cosine function neither satisfies all the conditions nor works notably well. Furthermore, we see that reducing the text representation not only decreases the runtime but can also increase the performance by ignoring spurious features. Our model can choose the characteristics that are the most relevant to the text in question and can analyze the author adequately. We apply our systems in various natural languages belonging to a variety of language families and in multiple text genres. With the flexible feature selection, our systems achieve reliable results in any of the tested settings.