Miracle-dz/UniFAR-FTUs huggingface dataset:
COMBATING DOMESTIC VIOLENCE AGAINST WOMEN

Women and children are often in great danger in the place where they should be safest; within their families. For many, 'home' is where they face a regime of terror and violence at the hands of somebody close to them-somebody they should be able to trust. Those victimized suffer psychologically and physically. They are unable to make their own decisions,voice their opinions or protect themselves and their children for fear of further repercussions. Their human rights are denied and their lives are stolen from them by the ever-present threat of violence. The present paper is a descriptive presentation of different types of domestic violence against women, scope of the problem, factors influencing domestic violence and strategies and interventions to be adopted for combating domestic violence against women. As this paper demonstrates, domestic violence is a health, legal, economic, educational, developmental and above all, a human rights issue. Much has been done to create awareness and demonstrate that change is not only necessary, it is also possible. Now that strategies for dealing with it are becoming clearer, there is no excuse for inaction.
Use of Essential Oils as Natural Food Preservatives: Effect on the Growth of Salmonella Enteritidis in Liquid Whole Eggs Stored Under Abuse Refrigerated Conditions

The steam distillation-extracted essential oils (EOs) of three aromatic plants from the Kabylie region of Algeria ( Eucalyptus globulus , Lavandula angustifolia , and Satureja hortensis ) were analyzed by gas chromatography coupled with mass spectrometry (GC/MS). The primary compounds from these EOs were 1,8-cineole (81.70%) for Eucalyptus globulus , 1,8-cineole (37.80%) and Beta-caryophyllene (20.90%) for Lavandula angustifolia , and carvacrol (46.10%), p-cymene (12.04%), and r-terpinene (11.43%) for Satureja hortensis . To test the antibacterial properties of the EOs, agar diffusion and microdilution methods were used for Salmonella enterica serovar Enteritidis CECT 4300. The results revealed that all of the EOs possessed a significant anti-Salmonella activity. The inhibition diameters for Lavandula angustifolia and Eucalyptus globulus were 41.30 and 35.26 mm, respectively, whereas the essential oil (EO) of Satureja hortensis showed a stronger anti-Salmonella activity (51.15 mm) when compared to the two other EOs. The minimum inhibitory concentration values ranged from 1 to 8 uL/mL, and the MIC value of the Lavandula angustifolia EO was the lowest (1 uL/mL). Moreover, the anti-Salmonella activity of the EOs added at various concentrations to liquid whole eggs was investigated, and the results showed that the antibacterial effect is proportional to the quantity of EO added to the product. Based on the observed anti-Salmonella activity, the EOs tested are promising natural alternatives for the preservation of liquid whole eggs stored at 7 ± 1oC to simulate Algerian refrigeration conditions.
Unexpected absence of island endemics: Long‐distance dispersal in higher latitude sub‐Antarctic Siphonaria (Gastropoda: Euthyneura) species

We assess biogeographical patterns, population structure and the range of species in the pulmonate genus Siphonaria across the sub‐Antarctic. We hypothesized that locally endemic cryptic species will be found across the distribution of these direct‐developing limpets in the sub‐Antarctic.
Synchronization of Neural Networks with Mixed Time Delays under Information Constraints

This paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. The designed synchronization scheme is built on the framework of hybrid systems. Besides including nonuniform sampling, some other characteristics, such as quantization, transmission-induced delays, and data packet dropouts, are also considered. The sufficient condition that depended on network characteristics is obtained to guarantee the remote asymptotical synchronization of neural networks with mixed time delays. A numerical example is given to illustrate the validity of the proposed method.
A Hybrid File Storage Method for Crowd-Sensing Process

With the development of sensing technologies and popularization of intelligent mobile phone, crowd-sensing has entered the central stage of mobile computing. A huge amount of sensing data collected from all kinds of mobile intelligent terminals form lots of files with different sizes, which need to be effectively data stored method into a file system or a data warehouse. To solve these problems, a hybrid file storage method is designed in the paper, which can support hybrid storage for all kinds of files from sensors of crowd-sensing process by classifying files to big files and small files, and storing these two types of files by different storing and transferring strategies. In addition, a load balancing method of metadata servers based on a genetic algorithm is also proposed to make file storage more adaptive to dynamic changing loads. Finally, experiments have been conducted to verify the effectiveness of storage method for files sensing data designed in the paper.
Decline of the North Sea houting: protective measures for an endangered anadromous fish

Once an abundant fish species in the rivers of the Wadden Sea in northwest Europe, the North Sea houting Coregonus oxyrinchus (NSH) was at the brink of extinction 25 yr ago. The very last stronghold for this species was in the small Danish River Vidaa. In an attempt to preserve this anadromous whitefish species, juveniles were hatchery-reared and stocked in 6 Danish rivers flowing into the Wadden Sea. These stocking efforts were fairly successful, and the houting estab- lished populations in at least 2 of the rivers, but the underlying problem of habitat degradation and migration obstacles was not solved. Since a national management plan was issued in Denmark in 2003, large-scale river restoration measures have been undertaken, including the removal of 13 large obstacles in 3 NSH rivers and reestablishment of meanders in the lower river reaches. These measures were all intended to increase the spawning area for NSH and reduce juvenile mortality of NSH. The generic effect of these recent and ongoing changes is, however, not yet known. The NSH population has been irregularly monitored under various programs. Results from 15 yr of field investigation using passive integrated transponder (PIT)-tagging showed that the NSH pop- ulation in the River Vidaa remains stable, but in the other 2 rivers populations are decreasing. However, due to the recent physical improvements in river habitat and connectivity, we expect a substantial improvement in the population status of the NSH in the near future. Once they reach sexual maturity, NSH grow relatively slowly (mean: 2.55 cm yr �1 , ranging from 0 to 13.8 cm yr �1 ) and can reach an age of 10 to 12 yr. The number of repeated recaptures year after year indicates low mortality for adult fish. Six individuals were recaptured in rivers other than the one in which they were initially PIT-tagged, indicating some exchange/straying between adjacent rivers. Over- all there is a good chance that this unique species was saved in the 11th hour by intervention from managers and the EU.
Contemporary Trends in Organization Design

This paper empirically examines current issues in organization design by reviewing current literature on organization design from 1 995 to 2000. The paper presents three perspectives which have guided the study: information -processing theory, sociotechnical systems theory, and self-design. The findings suggest that information-processing and sociotechnical systems design approaches have been dominant in organization design in the past six years. A wider variety of data sources need to be reviewed to expand the analysis of patterns reported in this study.
Guided ion beam studies of electron and isotope transfer in 14N++15N2 collisions

Collisions of ground state N+ ions with N2 were investigated in a Guided Ion Beam (GIB) apparatus at center-of-mass (CM) collision energies up to 10 eV. Isotopic labeling of the target gas, 15N2, was used as one criterion to distinguish electron transfer, atom transfer, and isotope exchange channels. The absolute cross sections are in good agreement with previous measurements. By combining the GIB technique with time-of-flight analysis (acronym GIB-TOF) more detailed information on the reaction dynamics has been obtained. The product velocity distributions measured for 15N2+ and 14N15N+ indicate that both, electron and atom transfer, have to be divided into at least two parts, a direct one and one which seems to be characteristic for a long lived complex. The branching ratios derived for these four channels show a strong energy dependence. The mean product kinetic energy indicates that the remaining nitrogen atom is most probably formed in the metastable N(2D) state. For the nearly thermoneutral 14N+–15N+.
Technology Readiness and E-Commerce Adoption among Entrepreneurs of SMEs in Bandung City, Indonesia

The emergence of internet-based electronic commerce offers considerable opportunities for companies to expand their customer base, enter new product markets, and rationalize their business. The Indonesian government has initiated and implemented a series of plans and activities to promote technology use to increase SMEs’ performance. Despite such efforts, technology adoption rate are still low. Therefore, it is important to understand the factors affecting an entrepreneurs’ decision on internet adoption, by measuring technology readiness (TR). The purpose of this study is to investigate TR and the extent to which E-commerce is adopted amongst entrepreneurs. This study is replication of Parasuraman’s study on the Technology Readiness Index (TRI). Questionnaires were distributed using a convenience sampling method to 190 entrepreneurs of SME in Bandung city. The findings indicate that entrepreneurs are moderate in terms of their TR. There are significant differences in terms of TR across entrepreneurs’ backgrounds (gender, age, education, and income). In relation to internet adoption by those surveyed, as their use of media promotion is still low, there were only 36.3 percent who adopted it. The results clearly indicate the need to provide support to SMEs to adopt and use e-commerce. These results have implications not only for managers of SMEs but also for government agencies in developing countries such as Indonesia. The findings have implications for researchers and practitioners by identifying TR drivers (optimism and innovativeness), and barriers (discomfort and insecurity), that contribute to effectively leveraging the Internet in an important area for SMEs.
Genetic components of birth weight of texel sheep reared in extensive system

This study aimed to estimate the components of (co)variance, genetic and phenotypic parameters and trends for birth weight. We used 783 birth weight records, between 2012 to 2016, of Texel sheep reared in extensive system. The components of (co)variance and the genetic parameters were estimated using six different animal models, using the restricted maximum likelihood method (REML). The model that best fit the data was Model 3, with estimates of direct additive genetic variance of 0.004, maternal permanent environment variance of 0.164, heritability coefficient of 0.011 and phenotypic variation attributed to the maternal permanent environment of 0.394. For the genetic trend, we observed a genetic gain of 0.413% and for the phenotypic trend, a phenotypic gain of 0.159 kg, between 2012 and 2016 were found. Estimates of direct heritability and proportion of the phenotypic variance explained by the maternal permanent environment presented lower and higher values, respectively, in comparison to other studies. For trends, both genetic and phenotypic, there were gains in birth weight between 2012 and 2016.
X-RAY LINE BROADENING FROM FILED ALUMINIUM AND WOLFRAM*

Alethods of analysis prel-ioualy used in the interpretation of line broadening are discussed and are shown to be inadequate; more reliable methods being outlined. ;in analvsis of published results using one of these methods suggests that the observed effects can he attr;buted to simultaneous small particle size and strain broadening. Measurements of the changes in intensity distribution have been made, using a Geiger counter spectrometer, in the spectra of cold worked aluminium and wolfram. The line breadths may he attributed to simultaneous small particle size and strain broadening, the latter predominating, particularly at the higher Bragg angles, and it is shown that the observed effects are produced by dislocations or some similar structura,l fault. The observed rise in the breadths of the high angle lines from annealed materials suggests that some dislocations remain after annealing. Fourier analysis of the line shapes in general merely confirm the results of the analysis of the line hreadths, hut in the case of the recovered specimens it suggests that the dislocations form into walls (“polygonization”).
Butterflies and moths-agents of pollinator-mediated selection and species separation in the two closely related carnations Dianthus carthusianorum and D . sylvestris

Darwin’s meticulous observations on the function of floral shape led to his famous prediction of a long-tongued pollinator, which he believed to be the evolutionary trigger for the long-spurred flowers of the Madagascar star orchid. Although tubular flowers are common, long tubes or spurs are an exception, suggesting that selection maintaining short flowers is widespread. Using the butterfly-pollinated carnation Dianthus carthusianorum and two butterfly species differing in proboscis length (Melanargia galathea and Inachis io) as model organisms, we experimentally demonstrate a reduction in pollinator efficiency with an increasing difference between proboscis length and floral tube length. Such a relationship is a prerequisite for the evolution of floral shape in response to pollinator morphology.
Electrochemical Reduction and Deposition of Reduced Graphene Oxide/Manganese Oxide Composite for Supercapacitor Applications via Pulse-Chronoamperometry

The reduced graphene oxide/manganese oxide composite was deposited on the nickel current collector using the Pulse-Chronoamperometry method in a mixture of graphene oxide dispersion and manganese acetate as the precursor. The graphene oxide (GO) was electrochemically reduced to reduced graphene oxide (rGO) and deposited with manganese oxide (MnOx) at the same time. The effects of manganese acetate (Mn(Ac)2) concentration, deposition temperature, voltage and time on the specific capacitance of rGO/MnOx electrode were investigated. The electrochemical properties were characterized using galvanostatic charge-discharge and cyclic voltammetry. The effects of electrochemical reduction and deposition parameters on the specific capacitance of rGO/MnOx electrode were studied using Central Composite Design methodology and a 2 factors interaction model equation was evaluated. The rGO/MnOx electrode synthesized using 0.2 M of Mn(Ac)2, at 70 °C and -1.0 V versus Saturated Calomel Electrode (SCE) with a total deposition time of 800s exhibited a specific capacitance of 665 F/g was obtained at the current density of 5 A/g. The high specific capacitance of rGO/MnOx electrode showed its potential application for the fabrication of supercapacitors. This study provides an environmental friendly, time effective and costs efficiency way to reduce graphene oxide and to deposit the rGO/MnOx composite for electrochemical energy storage application.
Face detection with deformable part models on the NVIDIA Tegra K1

In recent years, face detection has become a popular application in embedded devices. However, since computational and energy efficiency are key aspects when targeting embedded devices, most face detection algorithms sacrifice accuracy for efficiency. The Deformable Part Models (DPM) algorithm is known to greatly outperform integral-channel based detectors in terms of robustness, although at an increased computational cost, making DPM impractical for use on embedded devices. This paper proposes a method to speed up a DPM face detection algorithm when targeting the NVIDIA Tegra K1 SoC. Several strategies are proposed to offload the most computationally intensive algorithmic components to the GPU. In order to test the functional correctness of our implementation, we trained a three-component DPM face model and tested it on three challenging video sequences containing multiple persons. When comparing our results to a single-thread CPU implementation, we achieve a 1.5x speed-up without any loss in accuracy.
Hybrid Intrusion Detection System Model using Clustering, Classification and Decision Table

Nowadays, computer networks are so complex, nearly everyone with a computer has connected it to the Internet to access information and transmit messages and as complexity increases the question of security becomes more and more familiar as well as the depth knowledge of computer network protocols namely; Transmission Control Protocol (TCP), Internet Protocol (IP) being the most common ones amongst others like User Datagram Protocol (UDP) etc.One of the two most publicized to security is intruder (other is virus) generally referred to as hacker or cracker. Intrusion detection systems are an important component of defensive measures protecting computer systems and networks from abuse. In this paper we proposes, a new hybrid learning approach that combines K-Mean clustering, Naive Bayes (statistical) also known as KMNB with Decision Table Majority (rule based) approaches. An experiment will be Carrie out to evaluate the performance of the proposed approach using KDD Cup ’99 dataset. The experimental results will shows that new type of attack can be detected effectively in the system, so that the efficiency and accuracy of intrusion detection system will improve terms of detection rate as well false positive rate with reasonable prediction time.
Service quality, satisfaction, perceived value and loyalty among customers in commercial banking in Nakuru Municipality, Kenya

Service firms have increasingly recognized the role of customer loyalty in the creation and maintenance of competitive advantage. Customer loyalty positively influences firm performance. Keeping loyal customers is beneficial to organizational performance despite there being little agreement as the determinants of customer loyalty in commercial banks. Therefore, this paper examines the extent to which service quality, perceived value and satisfaction influence customer loyalty in commercial banks. To achieve this, data were collected using a questionnaire from 381 respondents who were selected through stratified random and systematic sampling procedures. Data analysis was done through Pearson correlation and regression. The findings revealed that there was a positive and significant relationship between service quality, customer satisfaction and customer value, and customer loyalty. This study also found that service quality, customer value and satisfaction are critical success factors that influence the competitiveness of an organization. It is therefore recommended that banks should adopt the model consisting of the three constructs to create and maintain customer loyalty so as to improve performance and create competitive advantage.
Effectiveness of Mindfulness in Decreasing the Anxiety and Depression of Patients Suffering from Irritable Bowel Syndrome

Article type: Original Article Background: Irritable bowel syndrome (IBS) is a functional disorder of the lower gastrointestinal (GI) tract caused by stress and is also is associated with anxiety and depression which may benefit from a treatment such as mindfulness. Objectives: to determine the effectiveness of the mindfulness in decreasing the anxiety and depression in the patients suffering from IBS. Methods: The research design was based on single-subject. Three IBS patients diagnosed by Rome-II criteria participated in this treatment project in Tabriz in 2015 voluntarily and with their personal consent. Eight sessions of Mindfulness-Based Stress Reduction (MBSR) were held for them individually. Beck Anxiety Inventory (BAI) and Beck Depression Inventory-II (BDI-II) were used before starting the treatment and at the end of the second, fourth, sixth and eighth sessions regarding to their intensity of anxiety and depression. Results: The anxiety and the depression scores of each subject were decreased in post-test comparing with pre-test. The percentage of the three patients' remission regarding to the anxiety by BAI were 86.67, 56.52 and 70.59 percent and the remission percentage average was 65.25. The percentage of remission regarding to the depression by BDI-II were 35.29, 65.12, 95.24 respectively, and the average percentage of the remission was 57.14. Conclusion: Based on the research findings, the treatment education and MBSR had the positive impact on decreasing the anxiety and e depression of the patients suffering from IBS.
How do Investors Measure Risk ? They use the CAPM

We infer which risk model investors use by looking at their capital allocation decisions. We find that investors adjust for risk using the beta of the Capital Asset Pricing Model (CAPM). Extensions to the CAPM perform poorly, implying that they do not help explain how investors measure risk. This article summarizes research originally published in Berk and van
Mapping the Factors Influencing Success of Massive Open Online Courses (MOOC) in Higher Education

Massive Open Online Courses (MOOC) is a new phenomenon in online learning that has aroused increasing interest by researchers as a significant contribution to improving educational system quality and openness. The purpose of this paper is to compile and analyze MOOC research that has been published between 2012 and 2016. A systematic analysis technique was employed and Template Analysis (TA) approach was used for mapping MOOC research into three dimensions in accordance with the Biggs 3P model. First dimension is Presage, include the following factors: Learners' characteristics with sub-factors (learner demographics, learner motivation, and interactivity) and instructor. Second, Process, including factors of pedagogy, pattern of engagement, instructional design, assessment, credit, plagiarism, sustainability, and learning analytics. Third dimension is Product, including factors of student dropout rate and MOOC quality. This classification is aimed at providing a comprehensive overview for readers interested in MOOCs who seek to understand the critical success factors influencing MOOC success.
Paintings as “Visual Poetry”: Diagrammatic Iconicity in the Art of Juan Miró

Conceptual Metaphor Theory (Lakoff and Johnson, 1980) and work on multimodal metaphors (Forceville, 2006) has opened up a new approach to the study of language and other modalities. However, relatively few cognitive linguistic investigations of visual art have been performed. We analyzed paintings done by Spanish Surrealist Juan Miro (1893-1983), focusing on diagrammatic iconicity, i.e. how his pictorial elements are arranged structurally in ways that correspond to their meaning. In particular, we examined the artist’s paintings between 1940 and 1970, based on the model advanced by Hiraga (2005). Our results show that iconic mappings like SIMILARITY IN MEANING IS SIMILARITY IN FORM, MORE CONTENT IS MORE FORM, and SEMANTIC RELEVANCE IS CLOSENESS, function as cognitive principles prevalent in these paintings. The current study therefore supports the proposal that diagrammatic iconicity operates across different semiotic systems, and at the same time contributes to the description and explanation of artistic practices involving language and painting.