Miracle-dz/UniFAR-FTUs huggingface dataset:
1 ID-1193 STUDY ON IMPACT BEHAVIOR OF COMPOSITES USING THE FINITE ELEMENT METHOD

During the last two decades, research on the development of structural components with high crashworthiness has been carried out by the automobile industries, aeronautics, naval, trains and elevators. The use of composite materials in these components has grown up higher and higher and many methodologies have been created to predict the absorption energy capacity of composites structures loaded with impact forces using the Finite Element Method (FEM). Thus, it becomes necessary to model the non-linear problems involved , such as the contact between bodies that collide, the plastic deformations of material and large displacements on the structure. In order to address all these problems, this work proposes a methodology to evaluate crashworthiness in composite structures, and gives a first contribution on the modeling of the non-linear contact problem. A case study where a composite plate is impacted by one steel sphere is studied and the results are described and compared with those from the literature.
Why Impose the Structure of “ Sexual or Romantic Relationships ” ?

The Relationship Trajectories Framework: Elaboration and Expansion Paul W. Eastwick, Eli J. Finkel & Jeffry A. Simpson To cite this article: Paul W. Eastwick, Eli J. Finkel & Jeffry A. Simpson (2019) The Relationship Trajectories Framework: Elaboration and Expansion, Psychological Inquiry, 30:1, 48-57, DOI: 10.1080/1047840X.2019. 1585740 To link to this article: https://doi.org/10.1080/1047840X.2019. 1585740
PENGOLAHAN CITRA DENGAN MENGGUNAKAN WEB CAM PADA KENDARAAN BERGERAK DI JALAN RAYA

Dalam perkembangannya pengolahan citra sangat membantu untuk menyelesaikan masalah yang sering dihadapi oleh manusia pada ummnya . Image processing digunakan untuk keperluan teknologi khususnya dalam bidang computer vision. Untuk Penelitian ini digunakan metode segmentasi yang dapat membedakan antara obyek dengan bacground , Image processing merupakan suatu teknikÂ pengolahan gambar dari obyek.untuk mendeteksi adanya object yang berwarna merah dan kuning serta digunakan kamera digital sebagai masukan data. kamera digital akan merekam objectÂ yang berupa mobil yang bergerak sebagai acuan dan mengirim data ke PC . Dalam pengolahan image processing dibutuhkan ketepatan dan keakuratan data serta pengetahuan tentang statistika karena pengolahan image ini berhubungan dengan pengolahan data. Hasil dari penelitian ini yaitu software dapat mendeteksi obyek berwarna merah dan kuning sehingga diketahui jenis mobil dari belakang.Kesimpulan dari penelitiaan ini adalah posisi kamera dan pencahayaan sangat berpengaruh terhadap penangkapan gambar object . Pemanfatan ke depan digunakan untuk pengembangan dalam bidang computer vision dengan membedakan objeck dengan background sehingga objeck terlihat 3D.
Recognizing Coverage Functions | SIAM Journal on Discrete Mathematics | Vol. 29, No. 3 | Society for Industrial and Applied Mathematics

A coverage function f over a ground set [m] is associated with a universe U of weighted elements and m sets A1, . , Am ⊆ U , and for any T ⊆ [m], f(T ) is defined as the total weight of the elements in the union ∪j∈TAj . Coverage functions are an important special case of submodular functions, and arise in many applications, for instance, as a class of utility functions of agents in combinatorial auctions. Näıve representations of coverage functions have size exponential in m, and in algorithmic applications, an access to a value oracle is assumed. In this paper, we ask whether one can recognize if a given oracle is that of a coverage function or not. We demonstrate an algorithm which makes O(m|U |) queries to an oracle of a coverage function and completely reconstructs it. This is polynomial time whenever |U | is polynomially bounded implying the function has a succinct description. To complement the above result, we show a negative result. We prove that “noncoverageness” needs large certificates—there exists a function which is not coverage and yet any algorithm making fewer than 2m−1 queries cannot distinguish this function from some coverage function. Our positive result shows that the property of coverageness has O(m|U |)-query proximity oblivious testers, while our negative result shows an exponential lower bound. We believe our lower bound also goes through for general property testers, and provide some evidence of the same.
Semantic Diversity by Phonetics for Accurate and Robust Machine Translation

Neural Machine Translation (NMT) learns from examples, and thus often lacks robustness against noise. Previous work has shown that integrating noise into the training process is effective at improving such robustness, but this solution can be inefficient due to the exponential number of string perturbations, i.e., exponential in the number of words or characters. To robustify the translation input, we treat human phonetic interaction throughout history as a pre-compiled computational device. This device implements a many-to-one function that converts text into phonetics. To the best of our knowledge, we are the first in Machine Translation, to apply the phonetic algorithms Soundex, NYSIIS, and MetaPhone to foreign word/character sequences. We also apply another linguistic representation, the logogram inference, Wubi, for Chinese. To explain why phonetic encodings improve NMT, we introduce, quantify, and empirically verify our hypothesis: “one phonetic representation usually corresponds to words that are semantically diverse. ” Driven by our hypothesis, we simulate this “natural” phonetic device and introduce an artificial method called random clustering. We achieved significant and consistent improvements overall language pairs and datasets we experimented with: French-English, GermanEnglish, and Chinese-English in IWSLT’17, with up to nearly 2 BLEU points over the stateof-the-art. Moreover, our approaches are more robust than baselines when evaluated on unknown noisy or out-of-domain test sets, with up to about 5 BLEU point increase.
Efficient Software Testing Technique based on Hybrid Database Approach

In the field of computer science, software testing is referred as a critical process which is executed in order to assess and analyze the performance and risks existing in software applications. There is an emphasis on integrating specific approaches to carry out testing activities in an effective mode; the efficient strategy being explored recently is adopting hybrid database approach. For this purpose, a hybrid algorithm will be proposed to ensure the functionality and outcomes of testing procedure. The technical processes and its impact on current methodology would help to evaluate its effectiveness in software testing through which specific conclusions could be drawn. The findings of the research will elaborate effectiveness of the proposed algorithm that would be used in software testing. It would be suggested that new technology is easier and simple to assess and analyze the reliability of the software. Basically, hybrid database approach comprises of traditional and modern techniques that are deployed in order to achieve testing outcomes. It is explored from various testing methods that challenges have been identified related to focusing on traditional techniques due to which hybrid approach is now being developed in most of the areas. In the light of addressing these concepts, the paper aims to investigate the complexity and efficiency of hybrid database approach in software testing, as well as its scope in the IT industry.
Modeling of business processes of project financing

Need of transformation of means of support of project financing for commercial banks is proved. The analysis and modeling of business processes of project management by the contextual chart and the chart of decomposition is carried out that allowed to describe the main stages of project financing. With use of tools of programming the business application of project management which will promote operational assessment on selection of introduced drafts is created.
A Method to Derive TRiStar Diagrams from Textual Descriptions of Teleo-Reactive Systems

This paper presents a method for obtaining a TRiStar diagram starting from a textual description of a TeleoReactive system. The steps in the method are exemplified using a Unmanned Underwater Vehicle used for deactivateing naval mines. Using this method will make the specification and reuse of Teleo-Reactive systems much easier.
RegNet: Regularizing Deep Networks

One of the most important issues in deep learning is the need for huge corpus of training samples to achieve desired results. Otherwise, any powerful model will overfit the training data. One way to overcome this problem is adding regularizers to the loss function in order to hold back the model from overfitting. Regularization is one of the crucial ingredients of model training. It plays an important role in preventing overfitting and reducing generalization error. Most of the efforts in regularizing deep networks has been focused on perturbing data and changing the structure of the network (e.g. Dropout). In this work, we focus on regularizing the network by adding a prior to the loss function based on similarities among labels. Particularly, we consider an image classification task where very few training samples are available for some classes and, study and expand a work[15] which adds a regularizer to push weight vectors corresponding to visually similar classes, to be similar.
Exploring social dynamics: predictive geodemographics

Geodemographics is the analysis of people by where they live, underpinned by the notion that people residing within proximity exhibit similar characteristics. Geodemographic classifications are typically area classifications built with composite variables, in order to segment populations into homogenous groups. However, such composite variables are often collated from static data such as population census, and other administrative and or commercial sources which are not regularly updated. Furthermore, most commercial systems are black-boxes: they do not provide information about their data, methods, updates or clusters. Consequently, this means that geodemographic classifications offer out of date and opaque representations of the populations that they seek to segment. Since such classifications have a range of public and private sector uses such as education, policing, health, targeted advertising, and location optimisation, such static data sources create many temporal limitations, and drawbacks. This research describes the social processes that suggest changes in socio-economic status and therefore geodemographic classification. Using a case study, it explores how social dynamics and geodemographic trajectories over time can be predicted from data that capture social process and enable area’s future geodemographics to be predicted. Socially dynamic processes include gentrification (area improvement, thus an improved geodemographic cluster trajectory), urban decay (area deterioration, thus a worsened geodemographic cluster trajectory), and area stability (thus a stagnated but stable geodemographic cluster trajectory). A number of future research areas are identified.
SAND 2009-2007 Unlimited Release Printed March 2009 Complexity Science Challenges in Cybersecurity

Computers and the Internet are indispensable to our modern s ociety, but by the standards of critical infrastructure, they are notably unreliable. E xisting analysis and design approaches have failed to curb the frequency and scope of malicious cybe r exploits. A new approach based on complexity science holds promise for addressing the unde rlying causes of the cybersecurity problem. The application of complexity science to cybe rsecurity presents key research challenges in the areas of network dynamics, fault toleranc e, and large-scale modeling and simulation. We believe that the cybersecurity problem is ur gent enough, the limits of traditional reductive analysis are clear enough, and the possibl e benefits of reducing cyber exploits are great enough, that the further development of cybersecu rity-targeted complexity-science tools is a major research need.
LIPID AND FATTY ACID COMPOSITION OF POND RAISED AND WILD Oreochromis niloticus AND Clarias gariepinu

Department of Fisheries, Faculty of Agriculture, University of Benin, Benin City. *Corresponding Author Email: okovica@yahoo.com The percentage crude fat content and fatty acids profile of Clarias gariepinus and Oreochromis niloticus from both the wild and fish farm were determined. The pond raised C. gariepinus and O. niloticus were cultured under semi intensive system at a stocking rate of 10 fishes m Commercial diet (coppens) containing 40% crude protein were fed to the fishes to supplement algae. The pond was also fertilized with poultry droppings at the rate of 10 kg 100m of pond water to encourage the growth of algae. Water turbidity was monitored and maintained at between 30-60 cm to moderate the turbidity due to algae. The wild fishes were collected from Ikpoba River in Benin City. The two fish species from both sources were subjected to fatty acid analyses. There was significant difference (p<0.05) in moisture (10.10% and 11.07%) for C. gariepinus and O. niloticus respectively, but there was no significant difference (p>0.05) in crude fat content of the two species (5.82% and 5.63%) for C. gariepinus and O. niloticus respectively. Also there was no significant difference (p>0.05) in moisture content (10.30% and 10.87 %) for the fishes from pond and wild sources respectively. However, there was significant difference in the crude fat content of the two fish species from the two sources (p<0.05). The Pond raised fishes were significantly higher in crude fat with a mean value of 6.06 % than the wild fishes with mean value of 5.38 %. Six different fatty acids were found in both the pond and wild fish with palmitic acid as the main saturated fatty acid and oleic acid as the main monosaturated fatty acid. There was significant difference in the concentration of the fatty acid types (p<0.05). The fatty acids were Palmitic (28.14g/100g), Linoleic (23.48g/100g), Oleic (21.395g/100g), Stearic (15.44g/100g), Linolenic (10.28g/100g), and Behenic (0.85g/100g) in a significant decreasing order of abundance. The dominant polyunsaturated fatty acids were Linoleic (omega6) and Linolenic (omega-3). However there was no significant difference in fatty acids in both pond raised and wild sources of fish for both species. The n-3/n-6 ratios were 1:2.3 and 1:2.2 in C. gariepinus and O. niloticus from farm and wild respectively. This proportion is in the range required for good human health. More attention should be paid to this farmed raised species by aquaculturist as supplement or replacement for wild fishes, since the fatty acid profile is not significantly
Studying the components status of the competitive advantage variable in the importer companies of the network products ( HP Company ) and its relation with demographic variables

The purpose of this article is to study the components status of the competitive advantage variable in the importer companies of the network products (HP Company) and its relation with demographic variables. Current research in terms of purpose is applicable and it was done with descriptive-survey method. The statistical population of this research includes all customers of HP network products in AfzarPardazBatis Company in Tehran and they are 120 persons. Due to the limited number of the statistical population, census method was used in order to determine the sample size. In order to collect the data, standard questionnaire of Hill & Jones (2010) was used. The face and content validity of the questionnaire was confirmed by using of some professorsopinions. Cronbach’s alpha coefficient of the questionnaire was obtained higher than 0.7 which indicates the internal coordination of the items and acceptable reliability of the questionnaire. In order to study the research hypotheses, single sample t-test, independent t-test and ANOVA with application of spss software were used. According to the results, the amount of t-statistic was more than critical amount of 1.96; and it was in the critical area of the test and in other words, the average difference from figure 3 was meaningful. Therefore the assessment averageof the components status of competitive advantage variable was higher than the assumed average (3) and this indicates that accountability to the customers, services quality, innovation in presenting the services and superior efficiency as the competitive advantage components from the perspective of the intended customers had proper status. The other results of the research indicated that women, men and customers with different education and ages assess the competitive advantage of the company equally, but according to the results obtained, whatever the customers purchase record from this company is more, their perspective will be improved about the importer company of HP products and their assessment of competitive advantage will be higher.
The Need for and Importance of Problem-Based Learning in Teaching and Learning in Technical Vocational Education and Training

This paper discusses briefly the concept, overview, characteristics, the needs and effectiveness of problem-based learning (PBL) approach in teaching and learning in technical vocational education and training (TVET). Based on the literature review, the paper concludes that, problem-based learning is an essential tool for instructing learners in technical and vocational trades.
TIỂU BAN SINH

Spatial patterns of forest trees result from complex dynamic processes such as establishment, dispersal, mortality, land use and climate (Franklin et al. 2010), especially in tropical forests which are among the world‘s most species-rich terrestrial ecosystems. Spatial correlation of trees may provide evidences of ecological interactions which are assumed to be drivers of spatial pattern in plant communities. Spatial pattern analysis in ecology has received increasing attention of ecologists and mathematicians over the last decades. Furthermore, it is stimulated by the development of spatial point pattern methods and relevant computer applications.
underpricing and international corporate governance

Received: 9 July 2007 Revised: 13 February 2009 Accepted: 8 March 2009 Online publication date: 20 August 2009 Abstract It is well established that a link exists between a country’s legal system and the size, liquidity, and value of its capital markets. We study how differences in country-level governance affect the underpricing of initial public offerings (IPOs). Examining 4462 IPOs across 29 countries from 2000 to 2004, we find the surprising result that underpricing is higher in countries with corporate governance that strengthens the position of investors relative to insiders. We conjecture that when countries give outsiders more influence, IPO issuers underprice more to generate excess demand for the offer, which in turn leads to greater ownership dispersion and reduces outsiders’ incentives to monitor the behavior of corporate insiders. In other words, underpricing is a cost that insiders pay to maintain control in countries with legal systems designed to empower outsiders. Consistent with this control motivation for underpricing, we find that underpricing has a negative association with post-IPO outside blockholdings and a positive association with private control benefits. In addition, firms whose insiders are entrenched either by majority ownership or by dual-class structures do not underprice more in countries with better governance. In these firms the ownership structure protects managers from outside influence, eliminating the incentive to increase outside ownership dispersion through underpricing. Journal of International Business Studies (2010) 41, 206–222. doi:10.1057/jibs.2009. 38
Running Head: CULTURAL CONTEXT; SEXUAL BELIEFS, SEXUAL DISSATISFACTION Culture and sexuality: Cognitive-emotional determinants of sexual dissatisfaction among Iranian and New Zealand women Abstract BACKGROUND: Several studies have demonstrated that culture plays a fundamental role in individuals’ be

BACKGROUND: Several studies have demonstrated that culture plays a fundamental role in individuals’ beliefs, attitudes, and values toward sexuality, and influences their ability to enjoy sex. It follows that culture may influence sexual satisfaction or dissatisfaction. AIM: To examine and compare cognitive-emotional variables related to women’s sexual dissatisfaction in Iran and New Zealand. METHOD: In total, 196 Iranian women and 207 New Zealand women participated in the study, answering questionnaires evaluating dysfunctional sexual beliefs, automatic thoughts, emotional and sexual response during sexual activity, as well as sexual satisfaction. OUTCOME: Sexual beliefs were measured by the Sexual Dysfunctional Beliefs Questionnaire (SDBQ), thoughts and emotional responses were measured by the Sexual Modes Questionnaire (SMQ), and sexual satisfaction was measured by the Index of Sexual Satisfaction (ISS). RESULTS: Findings indicated that in both Iranian and New Zealand women, failure and disengagement thoughts, lack of erotic thoughts, and emotions of fear during sexual activity were significant predictors of sexual dissatisfaction. Besides these common predictors, results also indicated that sexual conservatism and female sexual passivity beliefs, sexual abuse thoughts, and fear during sexual activity were significant predictors of sexual dissatisfaction in Iranian women. Beliefs of sexual desire & pleasure as a sin; age related beliefs; and emotions such as sadness, disillusion, and hurt were significant predictors of sexual dissatisfaction in New Zealand women. Running Head: CULTURAL CONTEXT; SEXUAL BELIEFS, SEXUAL DISSATISFACTION CLINICAL UTILITY: The present findings could facilitate a better understanding of cultural differences in the roles played by dysfunctional sexual beliefs, negative automatic thoughts, and negative emotions during sexual activity, and the value of these beliefs, thoughts and emotions in predicting sexual dissatisfaction. STRENGTHS & LIMITATIONS: The strength of this study is in providing an examination of the role of culturally bound beliefs in predicting sexual dissatisfaction in women from different cultural backgrounds. Limitations include the lack of evaluation of psychological and interpersonal variables that may impact on women’s sexual dissatisfaction. CONCLUSIONS: These findings suggest that there may be a role of culture in shaping beliefs, attitudes, and values towards sexuality; and provide evidence for the effect of cognitive-emotional variables in predicting women’s sexual dissatisfaction.