Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDI KASUS: MINDFULLNESS DENGAN PENDEKATAN SPIRITUAL PADA PASIEN SKIZOFRENIA DENGAN RESIKO PERILAKU KEKERASAN

Tujuan: Penelitian ini merupakan laporan studi kasus pemberian mindfullness dengan pendekatan spiritual pada pasien skizofrenia dengan masalah resiko perilaku kekerasan. Metode: Studi kasus dilakukan pada dua klien yang terdiagnosa skizofrenia dan memiliki masalah resiko perilaku kekerasan. Intervensi mindfullness dengan pendekatan spiritual yang diberikan pada pasien berupa calming tehnique dan prosedur memfasilitasi memaafkan. Hasil: Kasus pertama, seorang laki-laki usia 30 tahun yang sudah rawat inap selama 2 minggu di RSJ mengeluh sering marah. Setelah dilakukan intervensi calming tehnique, klien dapat melakukan untuk menenangkan hati dan berlatih secara mandiri. Kasus kedua, seorang perempuan usia 25 tahun yang sudah rawat inap selama 3 hari mengungkapkan sering marah dengan temannya. Selanjutnya, klien mampu mengontrol marah setelah pemberian intervensi dan dapat berlatih secara mandiri. Diskusi: Mindfullness dengan pendekatan spiritual melalui calming tehnique dan memfasilitasi memaafkan dapat menurunkan resiko perilaku kekerasan pada pasien skizofrenia dengan memberikan efek menenangkan karena mindfullness dan spiritualitas dapat mengontrol emosi pada klien. Hasil penelitian ini diharapkan dapat memberikan gambaran tentang prosedur mindfullness dengan pendekatan spiritual pada pasien skizofrenia sehingga perawat dapat menggunakannya sebagai alternatif intervensi keperawatan. Kata kunci: skizofrenia, perilaku kekerasan, spiritual, mindfullness
PREDICTION OF MINIMUM SPOUT VELOCITY AND MOISTURE DISTRIBUTION OF AMMONIUM PERCHLORATE PARTICLES IN A SPOUTED BED DRYER

Ammonium perchlorate particles have been dried in a laboratory spouted bed dryer (screen-bottomed type) which is categorized as a fluidized bed dryer. The solid particles obtained in this process of drying were semi-porous and known as the group D of Geldart classification. The variations of moisture content with resident time, the effects of bed height on the pressure drop, and the influence of moisture content on drying rate were investigated. In this project, the air flow rate and the moisture diffusivity were determined. A model to determine the minimum spout velocity and also a model based on the Fick's law were obtained which predicted the experimental data very well.
Maturation sexuelle d'Eledone moschata (Cephalopoda,Octopoda) du golfe de Gabès (Tunisie, Méditerranée orientale)

La maturation sexuelle de l'espece Eledone moschata est etudiee pour la premiere fois dans le golfe de Gabes (Mediterranee orientale, Tunisie). La sex-ratio est en faveur des mâles et l'exces devient significatif pendant la periode de reproduction. La femelle est mature a la taille moyenne de 11 cm ; les mâles dont la poche de Needham est remplie de spermatophores appartiennent a la classe de taille de 9 cm. La saison de reproduction est determinee par l'application du rapport genito-somatique RGS et de l'indice de maturation sexuelle M. Elle est etalee sur plusieurs mois allant d'octobre a juin (juillet) avec une periode d'activite sexuelle de janvier a juin pour le mâle et une periode de ponte de mars a juin pour la ponte chez la femelle. La maturation de la population du golfe de Gabes est plus precoce que celle de la region de Banyuls-sur-Mer (Mediterranee occidentale). Cette difference est imputee au facteur temperature.
Botnets as a Vehicle for Online Crime

An analysis of real-world botnets1 demonstrates the increasing sophistication of bot2 malware and its thoughtful engineering as an effective tool for profi t-motivated online crime. The purpose of this paper is to increase understanding of the capabilities present in bot malware and the motivations for operating botnets. Our analysis of source code and captured binaries provides insight about: • how botnets are built • what capabilities botnets possess • how botnets are operated • how botnets are maintained and defended
Validation of Added Resistance Computations by a Potential-Flow Boundary-Element Method

Second-order forces have been widely investigated using 2D methods and more recently, also using 3D methods. The present work uses the 3D, timedomain, high-order boundary element code AEGIR to calculate the second order forces. Results for added resistance using both pressure integration and conservation-of-momentum methods are presented and compared with published data and experimental measurements. The two methods give consistent results for simple geometries like a sphere and the Wigley hull. More complex geometries such as the Series 60 hull and a bulk carrier are also calculated but only with the momentum conservation method. The results demonstrate the accuracy and flexibility of this method which is not overly sensitive to the details of the geometry.
A Comparative Analysis of Clitoria ternatea Linn. (Butterfly Pea) Flower Extract as Natural Liquid pH Indicator and Natural pH Paper

Clitoria ternatea Linn (CT) or Butterfly pea flower is a blue flower edible plant, which is commonly used as food colouring. The objective of this study was to develop a liquid and paper pH indicator from CT extracts. The effectiveness of CT extract as pH indicator was evaluated by titration and product testing result against standard indicator. The stability of CT extracts were also conducted in 7 days storage. Findings from this study shows that CT extract is an effective liquid pH indicator except for weak acid samples. Whereas pH paper made from CT extract is effective as pH paper except for testing pH range from 4 -6. It is concluded thatCT extracts can be potentially effective pH indicator.Dhaka Univ. J. Pharm. Sci. 17(1): 97-103, 2018 (June)
At the Semantics / Pragmatics Interface in Child Language

occurs in positive contexts, an implicature of exclusivity arises. By contrast when the disjunction operator occurs within the scope of a downward entailing linguistic expression, no implicature of exclusivity is computed. Investigations on children’s computation of scalar implicatures in the same contexts have led to a slightly different picture. In particular it has proven difficult to demonstrate that children compute scalar implicatures (in
The commonalities of creativity and suicide in college students

More than 1,000 college students die by suicide each year. Commonly found among these suicides are students who are highly creative, mentally ill, and attending highly competitive schools. Research has demonstrated that the risk of suicide is most acute in students displaying hypomania, impulsivity, psychosis, and a personality trait called psychoticism. Interestingly, these four risk factors are also exhibited in highly creative college students. Hypomania was the most significant contributor to creativity and suicide among the four variables. Elevations in hypomanic symptoms were found among the most creative students and those at risk for repeated suicide attempts. A self-report questionnaire entitled the Hypomania Checklist-32 (HCL-32) identifies two dimensions of hypomania (active/elated and irritable/risk-taking). Future research should investigate potential relationships between the two dimensions, and creativity and suicide in college students. The active/elated dimension may contribute to higher creativity while the irritable/risk-taking dimension may lead to increased risk for suicidal behavior.
MULTIPLE CRACK DETECTION IN BEAMS FROM THE DIFFERENCES IN CURVATURE MODE SHAPES

The presence of crack in a structure tends to modify its modal parameters (natural frequencies and mode shapes). The fact can be used inversely to predict the crack parameters (crack depth and its location) from measurement of the changes in the modal parameters, once a functional relationship between them has been established. The machine components like turbine blade can be treated as a cantilever beam and a shaft as a simply supported beam. Vibration analysis of cantilever beam and simply supported beam can be extended successfully to develop online crack detection methodology in turbine blades and shafts. In the present work, finite element analysis of a cantilever and simply supported beams for flexural vibrations has been considered by including two transverse open U-notches. The modal analysis has been carried out on cantilever and simply supported beams with two U-notches and observed the influence of one U-notch on the other for natural frequencies and mode shapes. This has been done by carrying out parametric studies using ANSYS software to evaluate the natural frequencies and their corresponding mode shapes for different notch parameters (depths and locations) of the cantilever and simply supported beams FEM model. Later, by using a central difference approximation, curvature mode shapes were then calculated from the displacement mode shapes. The location and depth corresponding to any peak on this curve becomes a possible notch location and depth. The identification procedure presented in this study is believed to provide a useful tool for detection of medium size crack in a cantilever and simply supported beam applications.
Computational comparison of several algorithms for the minimum cost perfect matching problem

The aim of this paper is to computationally compare several algorithms for the Minimum Cost Perfect Matching Problem on an undirected graph. Our work is motivated by the need to solve large instances of the Capacitated Arc Routing Problem (CARP) arising in the optimization of garbage collection in Denmark. Common heuristics for the CARP involve the computation of matchings of the odd-degree nodes of a graph. The algorithms used in the comparison include the CPLEX solution of an exact formulation, a recent implementation of the Blossom algorithm, as well as six constructive heuristics. The Blossom algorithm works well on graphs containing fewer than 4000 nodes and outperforms CPLEX in terms of computing time. For larger instances, we found that one of the constructive heuristics consistently exhibits the best behavior compared with the other five.
Organizational transformation as a function of CEOs' developmental stage

Organizational Transformation as a Function of CEOs' Developmental Stage by David Rooke and William R. Torbert Introduction In this paper, we discuss what appears to be one critical variable in successful organizational transformation toward becoming a learning organization: the ego development stage of the CEO and his or her senior advisers. During the past decade, the two authors (along with two other consulting colleagues) have participated in, and studied, ten longitudinal organizational development efforts, spending an average of 4.2 years associated with each organization. In retrospect, we realized that in seven of the ten cases the organizations prospered significantly during our association with them, success-fully undergoing no less than 18 developmental transformations and becoming unique industry leaders. On the other hand, despite our best efforts, three of the ten organizations did not progress developmentally and lost personnel, industry standing, and money.
Plasmoid Formation and Acceleration in the Solar Streamer Belt

The dynamical behavior of a configuration consisting of a plane fluid wake flowing in a current sheet embedded in a plasma sheet that is denser than its surroundings is discussed. This configuration is a useful model for a number of structures of astrophysical interest, such as solar coronal streamers, cometary tails, the Earth's magnetotail and Galactic center nonthermal filaments. In this paper, the results are applied to the study of the formation and initial motion of the plasma density enhancements observed by the Large-Angle Spectrometric Coronagraph (LASCO) instrument onboard the Solar and Heliospheric Observatory (SOHO) spacecraft. It is found that beyond the helmet cusp of a coronal streamer, the magnetized wake configuration is resistively unstable, that a traveling magnetic island develops at the center of the streamer, and that density enhancements occur within the magnetic islands. As the massive magnetic island travels outward, both its speed and width increase. The island passively traces the acceleration of the inner part of the wake. The values of the acceleration and density contrasts are in good agreement with LASCO observations.
The Impact of External Drivers on Women Entrepreneurs Perception towards Supplier Performance in Nigerian SME Practices: The Mediating Effect of Enforcement Mechanisms

The purpose of this study is to critically examine the influence of government policies, customers, competitors as a driver and to some extent interventions to women entrepreneurship motivation in relation to its impact on social enforcement mechanism and supplier performance. The environment where women embark on entrepreneurial activities was articulated as one of the conditioned factors. Coupled with the harsh credit facilities and segregated opportunity prevailing itself to curtailed the untold hardships faced by women entrepreneurs for the success of their respective businesses which is not far from SME. This in turn influences the women entrepreneurs towards utilization of the available governance mechanism in nurturing their channel network relationship in achieving supplier performance. Even with burgeon of empirical investigation of the impact of institutional pressures on environmental practices, how these drivers affects social assets towards realization of supplier performance remains unclear. Social enforcement is seen as one of the alternatives used to curtailed supplier opportunism in realization of superior supplier performance. How does the social enforcement enhance supplier performance as a result of institutional pressures in the Nigerian women’s micro, small and medium scale enterprise is still novel and unexplored?
Object detection with large intra-class variation

For object detection, the state-of-the-art performance is achieved through supervised learning. The performances of object detectors of this kind are mainly determined by two factors: features and underlying classification algorithms. In this work, we aim at improving the performance of object detectors from the aspect of classification algorithm. Observing the fact that classifiers used for object detection are task dependent and data driven, we developed a hybrid learning algorithm combining global classification and local adaptations, which automatically adjusts model complexity according to data distribution. We divide data samples into two groups, easy samples and ambiguous samples, using a learned global classifier. A local adaptation approach based on spectral clustering and proposed Min-Max model adaptation is then applied to further process the ambiguous samples. The proposed algorithm automatically determines model complexity of the local learning algorithm according to the distribution of ambiguous samples. By autonomously striking a balance between model complexity and learning capacity, the proposed hybrid learning algorithm incarnates a human detector outperforming the state-of-the-art algorithms on a couple of benchmark datasets and a self-collected pedestrian dataset. Besides, the proposed Min-Max model adaptation algorithm also successfully improve the performance of an offline-trained classifier on-site by adapting the classifier towards newly acquired data, without worries about the tuning the adaptation rate parameter, which affects the performance gain substantially. Taking the object detection as a testbed, we implement an adapted object detector based on binary classification. Under different adaptation scenarios and different datasets including PASCAL, ImageNet, INRIA, and TUD Pedestrian, the proposed adaption method achieves significant performance gain and is compared favorably with the state-of-the-art adaptation method with the fine tuned adaptation rate.
Finding purifications with minimal entanglement

Author(s): Hauschild, J; Leviatan, E; Bardarson, JH; Altman, E; Zaletel, MP; Pollmann, F | Abstract: © 2018 American Physical Society. Purification is a tool that allows to represent mixed quantum states as pure states on enlarged Hilbert spaces. A purification of a given state is not unique and its entanglement strongly depends on the particular choice made. Moreover, in one-dimensional systems, the amount of entanglement is linked to how efficiently the purified state can be represented using matrix-product states (MPS). We introduce an MPS based method that allows to find the minimally entangled representation by iteratively minimizing the second Renyi entropy. First, we consider the thermofield double purification and show that its entanglement can be strongly reduced especially at low temperatures. Second, we show that a slowdown of the entanglement growth following a quench of an infinite temperature state is possible.
How work values and morale would affect job satisfaction in hospitals

Employees' effectiveness is the key major to accomplish the organizational goals, and job satisfaction is one of the most important factor influenced employees' effectiveness. Motivation, task status, monetary, rewards, and etc. are essential factors in job satisfaction and important dimensions related to work values. The study focused on the possible differences of work values and job satisfaction in hospitals, and the relationship between work values and job satisfaction of each work setting as mediated by work morale. A survey instrument that was adapted and translated from existing surveys was distributed to 248 Taiwanese employees in 17 hospitals in Taiwan. The structure equation model (SEM) was used for the analysis of the data. The finding of this study is that hospital employee perceived work morale is partial mediated by the employee work values, which influences the job satisfaction. We recommend that hospital should establish the complete system of life scheme, help employees establish the correct value of work, encourage employee working morale, and increase the satisfaction of work.
An Overview of Multi wave length Brillouin-Raman Fiber Laser

This paper presents an overview of most of the articles, which concerned with the generation of multi wave length fiber laser based on hybrid nonlinear Brillouin and Raman gain mediums. We summarize and discuss the previous studies from a scientific point of view; by explained the performance parameters of multiwavelength Brillouin Raman fiber laser (MBRFL). These parameters include threshold power, number of output channels, and flatting of Stokes lines. Before that the basic concepts of these type of lasers are explained. In addition, we described the main performance enhancement techniques that used in MBRFL.
FINANCING SMALL AND MEDIUM ENTERPRISES (SMES) IN GOMBE METROPOLIS: A STUDY OF RICE PROCESSING MILLS

The paper assesses the financing of SMEs in Gombe metropolis with special reference to rice processing mills. The population of the study comprises all the rice processing mills operating within Gombe metropolis. The unlimited nature of the population compels the researcher to employ convenient sampling technique to select a sample of 60 respondents. Simple percentages and chi square techniques were used in analyzing the data and testing of hypothesis using SPSS. Structured questionnaire was used in sourcing the data. The study finds that the financing of SMEs in Gombe has not improved as most of the SMEs are not even aware of Government Interventions not to talk of benefiting from any. Also majority of the owners don’t have access to credit facilities, so they use the little they have for their businesses. The study therefore recommend thus: Government should embark on awareness programmes to further enlighten the owners and managers of SMEs in Gombe metropolis on the importance of its intervention programmes. This should be done through the media, organizing workshops, seminars and so on. This will be among the easiest ways of accessing government funding/support by the SMEs.
Medium-Range Ensemble Sensitivity Analysis of Two Extreme Pacific Extratropical Cyclones

AbstractIn this study, ensemble sensitivity analysis has been applied to examine the evolution of two extreme extratropical cyclones over the Pacific. Sensitivity using, as forecast metrics, forecast cyclone minimum pressure and location, as well as principal components (PCs) of the leading EOFs in forecast SLP variations near the cyclone center, has been computed for medium-range forecasts of up to 7.5 days. Results presented here show that coherent sensitivity patterns can be tracked from the forecast validation time back in time to at least day −6, with the sensitivity signal exhibiting downstream development characteristics in most cases. Comparing the different forecast metrics, sensitivity patterns derived from the PCs of the leading EOFs in forecast SLP variations are apparently more coherent than those derived from cyclone parameters.To test whether the linear sensitivity analyses provide quantitatively accurate guidance under the highly nonlinear evolution of the atmospheric flow, perturbed initi.
Science and Technology Course in Educational Information Network: A Review on Videos.

The FATIH project is a project put in place by a protocol signed between the Ministry of National Education and the Ministry of Transport in order to obtain the highest level of efficiency and equal opportunities in education and training activities. Today, remote education applications have become compulsory in order to reach the rapidly changing and developing information network more easily and effectively. For this reason, an increase in distance education program designs has been observed in order to provide meaningful learning in Science and Technology course. The key role in increasing opportunities in education and improving the technology (FATIH PROJECT) is educational e-content applications. To this end, the Education Information Network (EBA) online social education platform has been established, which is equal opportunity in the basic principle education. Some of the contents in EBA, along with visual and interactive material, audio files and animations, have become the most important elementary videos of this platform. It was aimed to study science and technology course videos with a systematic understanding. Thus, it has been investigated how these videos contribute to the scope of the "FATIH Project". It is a descriptive study to examine the science and technology course videos in EBA systematically in terms of various variables. In the study, document review method was used from qualitative research methods. Science and Technology course videos analyzed in this study include Science and Technology course presentations for 5th, 6th, 7th, and 8th grade students who are available on EBA on July 28th, 2017. 433 course videos were reviewed by each of the researchers in terms of eight (8) pre-determined questions that were repeated five times. The conclusions reached were finalized in accordance with the sub-objectives.
Universal approximators for direct policy search in multi-purpose water reservoir management: A comparative analysis

Abstract This study presents a novel approach which combines direct policy search and multi-objective evolutionary algorithms to solve high-dimensional state and control space water resources problems involving multiple, conflicting, and non-commensurable objectives. In such a multi-objective context, the use of universal function approximators is generally suggested to provide flexibility to the shape of the control policy. In this paper, we comparatively analyze Artificial Neural Networks (ANN) and Radial Basis Functions (RBF) under different sets of input to estimate their scalability to high-dimensional state space problems. The multi-purpose HoaBinh water reservoir in Vietnam, accounting for hydropower production and flood control, is used as a case study. Results show that the RBF policy parametrization is more effective than the ANN one. In particular, the approximated Pareto front obtained with RBF control policies successfully explores the full tradeoff space between the two conflicting objectives, while the ANN solutions are often Pareto-dominated by the RBF ones.