Miracle-dz/UniFAR-FTUs huggingface dataset:
DETERMINANTS OF CAPITAL STRUCTURE OF IRANIAN COMPANIES LISTED IN TEHRAN STOCK EXCHANGE : A STRUCTURAL EQUATION MODELING APPROACH

The objective of the current research is to study the effective factors on capital structures. In line with achieving this objective, financial information of 97 companies, accepted in Tehran Stock Exchange during the research period (2003 to 2011) was analyzed using the structural equations approach. In the current study, in order to measure the capital structure, we used from the long-term debts to assets market value ratio and studied the influence of the variables including growth, uniqueness, assets structures, profitability, earnings volatility, size, stock returns and industry classification on capital structure, the results indicated that growth, uniqueness and the profitability has a negative effect on the capital structure, but assets structure and size has a positive effect on the capital structure. The current studies also showed that there is no significant relation between earning volatility, the firm stock returns and the capital structure.
Corporate Income Taxes and (Un-)Employment in the OECD

This paper assesses how corporate income tax rate (CITR) changes and the aggregate unemployment rate are related in the OECD. The analysis is based on a sample of 20 OECD countries over the period 1999 to 2014. In contrast to earlier cross-country research, we account explicitly for differences in labor market policies and institutions. The main result is that, on average, a CITR cut is associated with an increase in the unemployment rate. This implies that, for this sample, the substitution effect of the tax rate cut on jobs dominates its output effect. This is consistent with a significant switch to less labor intensive capital which is not compensated by a new demand induced by the output effect of the tax cut. Labor market and structural characteristics differences across countries explain differences in the relative strength of these two effects. We also find that differences in reactions to the 2008 Subprime crisis also impacted the relative size of these two effects.
Proceedings of the 37th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages

Welcome to the Thirty-Seventh Symposium on Principles of Programming Languages, held Wednesday, January 20th, through Friday, January 22nd, 2010, in Madrid, Spain. This proceedings contains 39 contributed papers, selected from 207 submissions. Like at POPL 2008 and POPL 2009, each slot for a contributed talk at this year's POPL is twenty minutes long. The program committee members and external reviewers carried out their task with tremendous thoughtfulness and energy. Each paper received at least three reviews and a median of five reviews. We made the reviews available to the authors, who then had two days in which to submit a written response. Finally, the program committee had an intensive one-and-a-half-day meeting in Los Angeles. We permitted submissions from program committee members, subject to the guideline that they would be held to a higher standard than other submissions. We received thirteen PC submissions and we accepted one. Many in the POPL community look forward to the invited talks as some of the highlights of the meeting. This year we are lucky to be hearing from Neil Gershenfeld (MIT, USA) and Thomas A. Henzinger (IST, Austria).
Effect of Vitex Agnus Castus Extraction on Anxiety-Like Behaviors in Ovariectomized Rats

BACKGROUND AND OBJECTIVE: Menopause is the cessation of ovarian activity and anxiety is one of its symptoms. Many studies show that anxiety is due to decreased estrogen levels after menopause. � Since phytoestrogens are plant sterols that are similar to estrogen in structure and function, so the present study was done to evaluate the effect of vitex agnus castus, which has high levels of phytoestrogen on anxiety in ovariectomized rats and compare its effect with estrogen and tamoxifen. METHODS: In this experimental study thirty-five female Wistar rats (150 to 200g) were divided into five groups as following: control group, Vitex agnus castus at the dose of 80 mg/kg, Vitex agnus castus at the dose of 8 mg/kg, Estradiol valerat at the dose of 40 �g/kg, and the combination of tamoxifen (100 mg/kg) and herbal extract (80mg/kg). All animals were ovariectomized by cauterizing ovaries through bilateral incisions under anesthesia. After two months, anxiety-related indices (% OAE) and (% OAT) was determined using elevated plus-maze test of anxiety for 5 minutes. FINDINGS: Compared to the control group (21.67%±3.47%), Vitex agnus castus extract at the dose of 8 mg/kg (36%±7.34%) or 80 mg/kg (48.61%±1.25) (p<0.005 andp<0.001, respectively � � increased the open arm time (%OAT). The plant also increased open arm entries (%OAE) at the dose of 80 mg/kg (55.17%± 6.91% vs. 24.5%± 2.74% in control) (p<0.005 �. Locomotor activities were not significantly different among groups. CONCLUSION: Based on our data, Vitex agnus castus showed estrogen-like effects on reducing anxiety-like behaviors in ovariectomized rats.
A Framework for Aligning Social Media and Web Analytics Data to Support Search Engine Marketing

Online business market has been growing very fast since the 90’s. Consequently, companies have been paying more attention to areas such as web analytics, social media and online marketing as a part of their online activities. Despite the individual developments in these areas, the gaps between them are expanding. This project intends to close the distance between social media with web analytics and search engine marketing. As a part of this effort, a generic social media measurement framework is suggested. This framework is designed to allow various types of data analysis by combining the data from social media and web analytics. A reference implementation of the framework has been developed. The collected data can be explored by users with the web interface. The framework has also been integrated with two major web analytics solutions in the market. Namely, Google Analytics and Adobe SiteCatalyst. The possibilities for making use of social media data to create and improve search engine marketing campaigns have been explored and two methods have been identified. These techniques enable marketers to use this framework as a marketing decision support system by introducing new types of analyses. First, a methodology is suggested to create and manage search engine marketing keywords. Social media messages retrieved by the framework are used as a corpus to identify candidate terms and to build an ontology of concepts which can be used to generate keywords semi-automatically. The ontology learning part is built upon latent relational hypothesis. A pair-pattern matrix is built to apply classification algorithms to identify the relationships between the terms in an ontology. Second, a hypothesis is introduced which suggests that, public interest on different products may change depending on the geographical region. According to this hypothesis, social media posts are used to detect regional interests on different products. It has been shown that, the results obtained by this method are positively correlated with regional product sales data. This method can be used to focus product advertisements on more interested regions to increase the gain of an advertisement campaign.
A discussion of the United States’ and Egypt’s health care quality improvement efforts

ABSTRACT Achieving a high-quality health system is a complicated journey. Countries employ distinct approaches and build upon lessons learned along the way. Several wealthy industrialized countries have had measurable success advancing the quality of health care provided to their people. In contrast, many developing countries are still endeavoring to identify and implement robust strategies to promote quality health care. By observing the challenges and successes experienced by industrialized nations, developing countries can identify effective methods to advance the quality of their health care systems while avoiding known obstacles. This article describes approaches pursued by the United States and Egypt to advance the quality of their respective health care systems. Contrasting each country's health care initiatives highlights various quality improvement methods that have been undertaken and how one country’s experience can inform other countries striving to implement similar efforts.
METRICS: a tool for the display and analysis of mappings in message-passing multicomputers

METRICS is a software tool for the static (compile time) analysis of mappings. METRICS is designed for use in the mapping of parallel computations consisting of a set of communicating parallel processes which communicate through explicit message passing. The target architectures currently supported include the mesh and hypercube as well as user-defined topologies. The underlying routing schemes include store-and-forward, virtual cut-through, and wormhole routing. METRICS is designed to display the mapping in a clear, logical, and intuitive format so that the user can evaluate it quantitatively as well as visually. The contributions of METRICS include its rich underlying formalism, the temporal communication graph, a hybrid between the static task graph and the DAG; its mechanisms for handling massive parallelism using subviews, scrolling, and hierarchical grouping; and the broad spectrum of mapping metrics used in the analysis of each mapping. <<ETX>>
Word sense disambiguation by a higher order connectionist net based on distributed representations

Word sense disambiguation is one of the most challenging areas in natural language processing. We describe a higher order neural net based on a distributed representation method for word sense disambiguation. Two types of theory of neural representations, which are localist and distributed representations, are discussed and compared. The concept of microfeatures which typically belongs to the category of distributed representation is introduced and incorporated in the system. We show that a system based on a distributed representation is potentially more effective than that based on a localist representation in solving the word sense disambiguation problem. <<ETX>>
Ambiances sonores en gare : de la mesure acoustique à la mesure immergée

Comment caracteriser les ambiances sonores observables dans un meme site ? Comment differencier differents etats sensibles d'un meme lieu ? Comment l'interaction entre l'espace construit, l'environnement sonore et les pratiques ordinaires s'incarne-t-elle a differents moments de la journee ? Comment se modifient les ambiances sonores d'un lieu ? Cet article se propose d'avancer quelques elements de reflexions a partir d'un travail de terrain sur les qualites sonores percues par des usagers de trois gares parisiennes [ ]. Dans le cadre de cette recherche, nous avons donc etudie plusieurs sites dans des conditions similaires. Les lieux etaient la gare Montparnasse, la gare du Nord et la station Haussmann du RER Eole. Nous avons articule notre travail d'analyse des qualites sonores percues par les usagers a partir de la comparaison de parcours dans chacun des sites
K8. Hand-Held Computer Aided Diagnosis System with Application in Mammography

In the recent decades, Egypt has witnessed an increase in the number of mammogram scans, raising the need for cheap and portable systems for computer aided diagnosis (CAD) to reduce examination cost and time which can be achieved through embedded systems. In this work, we introduce an early prototype of a low-cost high-performance hand-held CAD system with an application in diagnosingabnormalities in mammography which can be extended in the future for other modalities such as ultrasound imaging. For this application, we used the BeagleBoard-xM which is known for its high performance andequipped with many peripherals. Specifications of the system are described and the results are presented including the diagnostic performance of the CAD system and the comparison between the computational performance of a reference PC and the new embedded system. The new system has the potential for allowing such high technology to be available at low cost thus providing cost-effective healthcare.
UNIX System V: Understanding Elf Object Files and DeBugging Tools

From the Publisher: UNIX System V Understanding ELF Object Files and Debugging Tools details, in one place, the pieces of the compilation and operating systems that provide information about the Executable and Linking Format (ELF) object files: their formation, elements, structure, manipulation by calls to ELF library functions, debugging, and their influence on active processes. This book incorporates material from USL's: UNIX System V Release 4 Programming in Standard C, Programmer's Reference Manual: Operating System API, User's Reference Manual/System Administrator's Reference Manual, System Files and Devices Reference Manual, and Application Binary Interface. Combined in an easy-to-use format, original source material and USL documentation, including new examples, figures, tables, and explanatory material, enhances and simplifies the complexities of programming. This Prentice Hall Open Systems Library book provides programmers with the detailed and focused information they need in an convenient format.
Efficient Machine Learning on Large-Scale Graphs

Machine learning on graph data has become a common area of interest across academia and industry. However, due to the size of real-world industry graphs (hundreds of millions of vertices and billions of edges) and the special architecture of graph neural net- works, it is still a challenge for practitioners and researchers to perform machine learning tasks on large-scale graph data. It typi- cally takes a powerful and expensive GPU machine to train a graph neural network on a million-vertex scale graph, let alone doing deep learning on real enterprise graphs. In this tutorial, we will cover how to develop and run performant graph algorithms and graph neural network models with TigerGraph [3], a massively parallel platform for graph analytics, and its Machine Learning Workbench with PyTorch Geometric [4] and DGL [8] support. Using an NFT transaction dataset [6], we will first investigate transactions using graph algorithms by themselves as methods of graph traversing, clustering, classification, and determining similarities between data. Secondly, we will show how to use those graph-derived features such as PageRank and embeddings to empower traditional machine learning models. Finally, we will demonstrate how to train common graph neural networks with TigerGraph and how to implement novel graph neural network models. Participants will use the Tiger- Graph ML Workbench Cloud to perform graph feature engineering and train their machine learning algorithms during the session.
Asymmetric spillovers from national innovation systems to knowledge creation processes in their regions

EnglishA Knowledge Production Function (KPF) analyzes if the national innovation systems (NIS) generate knowledge spillovers for their regions. Therefore, we include in the traditional KFP some variables that reflect the NIS of each region. In fact, we included 52 national and regional explanatory variables and applied a factorial analysis to reducing them to a few 'synthetic' ones. Our study offers some evidence on the existence of 'national' spillovers and they seems to be asymmetrical. Its intensity is lower in the technologically less developed regions than in those of intermediate technological development and scarcely exists in the case of the more developed or central regions. EnglishDentro del marco de una Funcion de Produccion de Conocimiento (FPC) se estudia la existencia de efectos de desbordamiento de los sistemas nacionales de innovacion hacia sus regiones. Para ello se incluye en la FPC tradicional no solo variables regionales sino tambien nacionales. La FPC incluye en total 52 variables que –mediante un analisis factorial– se han reducido a unas pocas variables sinteticas. El trabajo ofrece evidencia de la existencia de efectos de desbordamiento que resultan ser asimetricos. Sus intensidades son menores para las regiones menos desarrolladas tecnologicamente y mayor en las regiones intermedias, mientras que para las regiones centrales o mas avanzadas resultan ser casi inexistentes.
Source Code Protection for Applications Written in Microsoft Excel and Google Spreadsheet

Spreadsheets are used to develop application software that is distributed to users. Unfortunately, the users often have the ability to change the programming statements ("source code") of the spreadsheet application. This causes a host of problems. By critically examining the suitability of spreadsheet computer programming languages for application development, six "application development features" are identified, with source code protection being the most important. We investigate the status of these features and discuss how they might be implemented in the dominant Microsoft Excel spreadsheet and in the new Google Spreadsheet. Although Google Spreadsheet currently provides no source code control, its web-centric delivery model offers technical advantages for future provision of a rich set of features. Excel has a number of tools that can be combined to provide "pretty good protection" of source code, but weak passwords reduce its robustness. User access to Excel source code must be considered a programmer choice rather than an attribute of the spreadsheet.
A Review of Hierarchical Fixed Priority Scheduling

This paper focus on two level hierarchical scheduling where several real-time applications are scheduled by the fixed priority algorithms. The application with its real-time tasks is bound to a server which can be modeled as a sporadic task with special care for the schedulability analysis. Different scheduling policies and servers can be applied for hierarchical fixed priority systems, this paper gives a closer review of schedulability analysis for applications and tasks when the global and local schedulers of a system are fixed priority.
Developing and Validating a Scale for Multidimensional Attributes of Honeymoon Tourism

This study aims to identify and validate a scale for multidimensional attributes of honeymoon tourism. Although having a romantic experience is an important reason why newlywed couples go on a honeymoon, multidimensional attributes that affect honeymoon tourist experience have yet to be fully explored in the honeymoon tourism literature. This study offers an extended view of honeymoon tourism from the perspective of multidimensional attributes. Data were collected through a survey among international honeymoon tourists. A total of 565 usable samples were collected in Phuket, Thailand, via convenience sampling. Thereafter, refinement and validation of the measurement scale were conducted. Findings indicate that the multidimensional attributes are represented by a nine-factor structure. The findings are expected to extend and enrich the honeymoon tourism literature. Theoretical and managerial implications were also discussed.
An Analysis Of The Secure Routing Protocol For Mobile Ad Hoc Network Route Discovery: Using Intuitiv

A new and distinct selection of Nerium oleander L. shrub (popularly known as Oleander) which shall be referred to hereinafter as Nerium oleander cultivar Monvis. Nerium oleander cultivar Monvis differs distinctively from other oleanders by a unique combination of large bright rose flowers, an abundance of flowers, early flowering and a dense compact growth habit.
Evolutionary multi-objective optimization of laminates

The paper deals with the application of the global optimization methods to the multi-objective optimization of laminates. A multi-layered, fibrereinforced and hybrid laminates are considered. Different optimization criteria connected with the laminates’ cost, modal properties and stiffness are taken into account. As the optimization criteria usually cannot be satisfied simultaneously, the multi-objective optimization methods are employed. The multi-objective evolutionary algorithm with the Pareto approach is used as the global optimization method. The Finite Element Method is used to solve a boundary-value problem for the laminates. The stacking sequence and the number or plies made of different materials are design variables. The discrete as well as continuous fibre orientation angles in particular plies are considered. Numerical example presenting non-dominated solutions for two contradictory optimization criteria is attached.
Expert allocation of primary growth form to the New South Wales flora underpins the biodiversity assessment method

ABSTRACT Biodiversity values under the New South Wales (NSW) Biodiversity Conservation Act 2016 are assessed in part according to the number and cover of native plant species within each of six growth form groups (trees, shrubs, grasses and grass-like, forbs, ferns, and others). Here we revise 19 growth form descriptions and use an independent expert process to allocate the most common (primary) growth form to the native terrestrial vascular plant flora of NSW. Independent allocations made by three botanists concurred for 6,153 taxa (84.7 per cent of the flora) and the remaining 1,112 taxa were resolved via a structured consensus making process. Allocation of each taxon to primary growth form has generated a single point of reference for the most common growth form for each native vascular plant species, expressed in its mature state across the extent of its range in NSW. The work presented here was undertaken to support transparent, repeatable and rigorous assessments of the richness and cover of growth form groups for the NSW Biodiversity Assessment Method. However, our approach and findings will be relevant to any government agency, industry group or researcher that uses plant growth forms to simplify ecological complexity or to assess the site-scale biodiversity values of terrestrial vegetation.
The Effect of the Educational Program on Iranian Fathers’ Involvement in Infant care: A Randomized Clinical Trial Study

Introduction With the increase in women's employment and change in attitudes towards father's role in family, father involvement in infant care can indirectly influence the physical health and well being of infant and mother. Materials and Methods This randomized clinical trial study was performed on 150 qualified pregnant women and husbands. During the 35-37 weeks of pregnancy, fathers in fathers' training group and couples in couples' training group, participated in two training sessions of healthy infant caring. Fathers in control group received no training and mothers in all three groups received the routine pregnancy training and care. At the end of 4 and 8 weeks after birth, the involvement rate of fathers in infant care questioners were completed by mothers in all three groups. The data were analyzed using Analysis of variance (ANOVA) and SPSS software version 16. Results The total amount of involvement was calculated 55.77 for the fourth week and 62.64 for the eighth week. The average of total involvement rate and three dimensions of direct father-child interaction, accessibility and responsibility and providing financial resources in two training groups comparing with that the control group, indicated a significant difference (Pâ�¤0.05). Conclusion Training the fathers regarding the infant care led to an increase in the fathers' involvement dimensions in infant care. Thus, paternal training of this educational program should be considered in pregnancy care programs.