Miracle-dz/UniFAR-FTUs huggingface dataset:
Corporate Governance and Corporate Social Responsibility Disclosures: An Emphasis on the CSR Key Dimensions

Purpose: This study explores the possible effects of Corporate Governance (CG) on Corporate Social Responsibility Disclosures (CSRD) practices, based on four CSR key dimensions, amongst publicly listed companies in Malaysia. Design/methodology/approach: The study considers corporate governance mechanisms which include board independence, board size, board meetings and board gender in understanding companies’ CSRD practices. Using content analysis, the annual reports of 85 selected non-financial companies have been reviewed, covering a 3-year time frame i.e. 2011-2013. Findings: Steady improvements on CSRD practices amongst the companies are evident over the three years period of study. Mixed results have been found relating to the relationship between CG and CSRD in the CSR key dimensions i.e. Marketplace, Workplace, Community and Environment. Specifically, the primary findings of the study relate to the significant relationships discovered for board independence-community, board size-workplace and environment, and board meetings-marketplace relationships. Research Implications: The study results offer insights about the potential influence of corporate governance structure on greater CSR disclosure practice in accordance to the specific dimension. Paper type: Research paper
A METHODOLOGY FOR INFORMATION QUALITY MANAGEMENT

Self-healing systems have attracted vast attention by the research community. Self-healing Web services have the ability to perceive that they are not operating correctly and, without human intervention, make the necessary adjustments to restore itself to normal operation. Information quality is a fundamental aspect of Web services since wrong or out-of-date information can cause the failure of the service. Measuring and improving information quality is a complex task. Several methodologies have been developed in the last years to provide a support for the design and implementation of assessment and improvement techniques in order to guarantee high data quality level. The existing approaches focus on the system design phases in which enterprise context is analyzed, quality dimensions are selected, assessment and improvement techniques and tools are modeled. In this paper, a methodology is, instead, proposed to be a support to self-healing environments and to solve run-time data quality problems. The analysis of the business processes and context in the design phase allows identifying critical points in the business tasks in which information quality might be worsened. In these points, information quality blocks have to be inserted in order to continuously monitor the information flows. Through suitable checks, failures due to information quality problems can be detected. Furthermore, failures and warnings in service execution may depend on a wide variety of causes. Along the causes, the methodology also produces a list of the suitable recovery actions for a timely intervention and quality improvement. In particular, the focus of the paper is on data quality problems introduced by a shared use of data in different processes or by periodically synchronized data sources in process based systems using Web services. The methodology is explained by means of a running example.
Similarities between elevations in a rare species of some locations at Al- Jabal Al- Akhdar in Libya

Survey of rare species in fifteen sites selected according to elevation of Al-Jabal Al-Akhdar, Libya of 828-232 m M.S.L. The site of Habun and Shahat old city is approaches in altitude from sea level, Habun site elevation 614 M.S.L. while the Shahat old city 580 m M.S.L, indicating the importance of the elevation importance in distribution of rare species in Al-Jabal Al-Akhdar. It was noticed that 85 % of species was perennial and 15 % was annuals. Herbs 43 %, Shrubs 40 %, 17 % Trees. Most of the species following Chamaephytes which represented 37 % of the species, while, Phanerophyte annual plants 30 % followed by Therophytes 15 %, Geophytes and Hemicryptophytes 7 %, as well as Hydrophytes 4 %. The variation in the number of plants per species gave two groups the first group was in the two sites of Slonta and Sidi Alhamri, about 781 – 802 m M.S.L. , and 75 %, the second group is divided into the Shahat old city group, Cyrenaica is the largest plant diversity region in Libya.One species of Extinct was Narcissus tazetta L. in IUCN was Endangered. Five species classified Critically Endangered includes Ephedra alata (Decne.), Foeniculm vulgar (Mill. Fennel), Laurus azorica ((Seub.) Franco) and Laurus nobilis L. in Shahat old city, except, Salvia fruticosa (Mill.) in Belgara. It was found a convergence between sites AlMansoura (2) and Shahat old city (3) in content SAR. The site was divided at the rare species and different distribution pattern according to the elevation mean sea level, indicating the importance of the elevation importance to distribution of rare species inAlJabal AlAkhdar. A similarity was found between Sidi Alhamri (1), Sidi Alhamri (2), and Slonta in rare species and soil characteristics as described in PCA Correlation. Each increase in altitude from sea level decreases pH. The electrical conductivity increasingly increasing altitude, the electrical conductivity in the soil sector ranges from 0.86 to 1.40 ds/m, increases in surface of the soil and the soil is considered saline.
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

In today’s world, people are usually using social media networks for trying to communicate with other users and for sharing information across the world. The online social networking sites have become considerable tools and are providing a common medium for a number of users to communicate with each other. Twitter is the most prominent microblogging website and one among the social networking sites that grow on a daily basis. Social media incorporates an extensive amount of data in the form of tweets, forums, status updates, comments, etc. in an attempt to automatically process and analyze these data, applications can rely on analysis approaches such as sentiment analysis. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), to obtain user's opinions and sentiments. Natural Language Toolkit (NLTK) is a library based on machine learning methods in python & sentiment analysis tool. Which provides the base for text processing and classification? The research work proposed a machine learning-based classifier to extract the tweets on elections and analyze the opinion of the tweeples (people who use twitter). The tweets can be categorized as positive, negative and neutral towards a particular politician. We classify these processed tweets using a supervised machine learning classification approach. The classifier used to classify the tweets as positive, negative or neutral is Naive Bayes Classifier. The classifier is trained with tweets bearing a distinctive polarity. The percentage of positive and negative tweets is then measured and graphically represented.
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

Pedestrian behavior anticipation is a key challenge in the design of assistive and autonomous driving systems suitable for urban environments. An intelligent system should be able to understand the intentions or underlying motives of pedestrians and to predict their forthcoming actions. To date, only a few public datasets were proposed for the purpose of studying pedestrian behavior prediction in the context of intelligent driving. To this end, we propose a novel large-scale dataset designed for pedestrian intention estimation (PIE). We conducted a large-scale human experiment to establish human reference data for pedestrian intention in traffic scenes. We propose models for estimating pedestrian crossing intention and predicting their future trajectory. Our intention estimation model achieves 79% accuracy and our trajectory prediction algorithm outperforms state-of-the-art by 26% on the proposed dataset. We further show that combining pedestrian intention with observed motion improves trajectory prediction. The dataset and models are available at http://data.nvision2. eecs.yorku. ca/PIE_dataset/.
Effect of Tax Planning and Deferred Tax Burden on Profit Management with Institutional Ownership as a Moderation

: This study aims to test on tax planning, deferred tax burden and institutional ownership as a moderation of profit management in manufacturing companies listed on the Indonesia Stock Exchange in 2016-2018. A thorough sample of 51 manufacturing Company's financial statements. Sampling techniques In this study used the Puposive sampling method. The study uses multiple linear regression analyses and the moderated regression analysis analyses with the help of IBM SPSS 25 programs. The results showed that tax planning and deferred tax burden were of significant effect on profit management and institutional ownership were able to moderate the relationship between tax planning and deferred tax burden to management Profit.
Improvement of mango (Mangifera indica L.) fruit quality and yield using boron foliar application

This study was undertaken to investigate the role of foliar application of boron for improvement of mango fruit quality and yield. A field experiment was conducted during two successive seasons 2014/2015 and 2015/2016 using fifteen years old mango (Mangiferaindica L.) trees cv. Zebda. Foliar treatments included three boron concentrations of 0.0, 250 and 500 mgL -1 applied as boric acid in January. Results show that boron foliar application significantly improved fruit quality (size, weight, firmness, color, total acidity, total soluble solid (TSS), total sugar and vitamin C) and increased fruit yield relative to the control. Fruit chemical characteristics show a reduction in total acidity but an increase in total soluble sugars and vitamin C content. Fruit physical characteristics show reduction in fruit size, fruit weight, fruit firmness and improvement in fruit color as the boron application rate increase. Fruit yield significantly increased at 250 mg L -1 of boron. Boron application in the off year have increased C/N ratio which resulted in an increase in flower percentage, final fruit set, number of fruit/tree and fruit yield.
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction

Previous work has shown that machine learning algorithms lend themselves to clinical decision-making and are a valuable tool for physicians. For clinical data, it is often necessary to assign multiple labels to a patient record by choosing from a large number of potential labels. A key problem in learning from multi-labelled data is how to exploit the information contained in the correlations between labels. The hypergraph-based multi-label learning method learns from data by exploiting the spectral property of the hypergraph that encodes the correlation structure of labels. However, the problem with this method is the difficulty with which interpretations can be made. This is mainly due to its inability to recognize the importance of key features in the original feature space. Moreover, it is hard to comprehensively capture the complex structure of the correlations between labels. To overcome these difficulties and improve interpretability, we propose an $l_{21}$-norm regularized Graph Laplacian multi-label learning to perform feature selection and label embedding simultaneously. In-depth experimental studies, using the publicly available Medical Information Mart for Intensive Care (MIMIC-III) database, validate the effectiveness of our approach.
O ct 2 01 9 Penalized quasi likelihood estimation for variable selection ∗

Penalized methods are applied to quasi likelihood analysis for stochastic differential equation models. In this paper, we treat the quasi likelihood function and the associated statistical random field for which a polynomial type large deviation inequality holds. Then penalty terms do not disturb a polynomial type large deviation inequality. This property ensures the convergence of moments of the associated estimator which plays an important role to evaluate the upper bound of the probability that model selection is incorrect. keywards: Quasi likelihood analysis; Polynomial type large deviation inequality; Variable selection.
Should ISPs fear Peer-to-Peer File Sharing Applications ?

Peer-to-peer (P2P) file sharing applications contribute a large fraction of today’s Internet traffic. Several measurement studies have confirmed that P2P traffic is starting to dominate the bandwidth consumption in certain segments of the Internet, especially over last mile links. The prevailing use of P2P applications carries with it significant implications for ISPs: on the one hand increased levels of P2P traffic result in additional costs for an ISP to avoid degradation of the user-perceived experience of the provided Internet service. On the other hand, P2P applications are a major driving force for the adoption of broadband access. A successful strategy to manage P2P traffic must address both the ISP perspective of costs and the subscriber perspective of quality of servic e. While several solutions have been identified to effectively manage P2P traffic in a network, no analytical studies have been proposed so far to evaluate their feasibility and thus develop sound business models and strategic plans. In this paper we propose a unified modeling framework that allows to identify the optimal strategy for an ISP as a function of the several factors coming into play.
WHO EMRO | Quality of life in Iranian elderly population using the SF-36 questionnaire: systematic review and meta-analysis PDF version

Background: Ageing is a major known risk factor that is a threat to human health. To date, many studies have investigated quality of life (QOL) among the elderly population in the Islamic Republic of Iran. However, their results were inconsistent. Aims: We designed this systematic review and meta-analysis to estimate the overall mean score of QOL based on the Short Form 36 Health Survey Questionnaire (SF-36) among the Iranian elderly population. Methods: We searched international databases (Medline, Scopus and Science Direct) and national databases (Science In-formation Database, MagIran, IranMedex and Irandoc) up to February 2015. We included all cross-sectional studies that evaluated QOL among the Iranian elderly population using SF-36.
COST-EFFECTIVENESS OF EARLY NUTRITIONAL THERAPY IN MALNOURISHED ADULT PATIENTS IN A TERTIARY LEVEL HOSPITAL

Background: Hospital malnutrition is a frequent worldwide problem. The aim was to establish the cost-effectiveness of early nutritional therapy for malnourished patients. Materials and Methods: This analytical cohort study with economic assessment included 227 patients of ages between 18 and 80; hospitalized for a minimum of 4 days and were malnourished according to the Subjective Global Assessment. 113 patients received early nutritional therapy (ENT cohort), whereas 114 received delayed nutritional therapy (DNT cohort). The measures of effectiveness included length of stay, complications, and discharge condition. Results: The cohorts were similar in demographic and clinical characteristics, except for: the median age (years) for the ENT was 61 years (interquartile range [IQR]: 48-71) and for the DNT was 55 years (IQR: 44-67) (p = 0.024). The median length of stay was lower in the ENT group (11 days, IQR: 7-17) than the DNT (18 days, IQR: 10-28) (p < 0.001). The cost alive patient was $10,261.55 in the ENT compared to $15,553.11 in the DNT (p = 0.043), and the cost per patient with complications was $13,663.90 in the ENT and $17,860.32 in DNT (p = 0.058). ENT increased the likelihood of being discharged alive (relative risk (RR) adjusted = 0.31; 95% confidence interval (CI): 0.1; 0.6; p < 0.001) and decreased the likelihood of complications (RRcrude = 0.8; 95% CI: 0.6; 0.9; p = 0.006). Conclusion: Early nutritional therapy for malnourished adult patients is cost-effective because it would reduce length of stay, complications, mortality, and the costs per unit of effectiveness.
GRAPH THEORY ALGORITHM FOR SOLUTION OF COMPUTATIONAL PROBLEMS OF GENE MAPPING

Motivation: Pedigrees coming from isolated populations are very informative for gene mapping of complex traits due to their low genetic heterogeneity. Usually these pedigrees contain a lot of loops, which make impossible an application of likelihood-based methods of linkage analysis. The loops have to be broken to calculate likelihood using approximate methods. Optimal selection of breakers allows us to reduce the loss of genetic informativity. Existent algorithms of breakers selection are not effective for pedigrees from isolated populations where many individuals are unobserved and large number of loci are analysed. Results: We used classical graph-theory Kruskal approach for selection of optimal loop breakers. This algorithm needs to define weights of edges for pedigree-graph. We propose to estimate edge weight by relative loss of mean relationship after the elimination of this edge from the graph. We estimated the loss of pedigree informativity in a series of inbred families with hundreds of loops under different algorithms of loop breaking and demonstrated that our algorithm provides minimal loss of information. In addition we compared power of linkage analysis of a pedigree with multiple loops using our and alternative methods for simplification of pedigree structure and demonstrated that our method is characterised by higher power. Availability: We implemented our method in a software LOOP_EDGE. It is free available over the Internet on http://mga.bionet. nsc.ru/nlru/.
PROC ETRANK: PROCEDURES FOR ANALYZING INCOMPLETE REPEATED MEASURE TRIALS WITH TREATMENT RELATED WITHDRAWALS

Although many authors have proposed methods for dealing with missing data, (Uttle, et ai. (1987); Davis & Wei (1988), most have focused on situations in which the missing values occur at random; unfortunately, in most clinical trials missing observations may be treatment related. This research was motivated by the evaluation of the efficacy of a new drug for treating high blood pressure; the study was of short duration (six weeks). In this application, patients satisfying certain initial conditions, such as falling within a specified blood pressure range were evaluated for systolic and diastolic blood pressure at baseline. They were then followed at scheduled times throughout the ~dy; a_decreased response value implied Improvement while an elevated response implied deterioration. At the time of a scheduled visit, the study protocol called for withdrawal of a patient if medically necessary. When the maximum allowable response value was reached, the protocol called for the withdrawal of the patient due to ineffectiveness of the indication. Such patients were considered drug faJlures; contrally those who improved fast enough to reach a lower bound were required to withdraw due to ethical reasons. They were considered as treatment successes. The dependent variable will be determined by the type of medical investigation involved in the study; there will be two regimens, treatment and placebo groups. We shall assume for simplicity that the upper and lower withdrawal boundaries are constants.
Perceptions of entrepreneurs in Hong Kong: An Insight into What Strategies May Be Employed To Achieve Success in the Next Decade

Most of the available literature on entrepreneurship treats the subject without specifics so that not much is revealed about the psyche of the Hong Kong entrepreneurs. This research includes interviewing seven successful Hong Kong entrepreneurs and attempts to find their strategies for success for the coming decade. Hong Kong is seen as a world leader in building and developing its economy and entrepreneurs have a unique status in Hong Kong. These entrepreneurs constitute a majority of businesses and employ a significant part of the population and thus are vital for the economy of Hong Kong. The research finds that Hong Kong entrepreneurs believe that the strategies for success going forward include enhancing knowledge, adapting new technologies and mentoring the younger generation via teamwork.
THE THEORY OF HELICOIDAL STRUCTURES IN ANTIFERROMAGNETS. II. METALS

A theory of magnetic structures in antiferromagnetic metals is developed. In this case the periods of the structure are determined by the interaction between conduction electrons and the spins of the magnetic ions and are approximately equal to the inverse extremal diameters of the Fermi surface. The corresponding small parameter is (®/EF)l/ 2, where e is the antiferromagnetic transition temperature and E: F is the Fermi energy.
PRIMARY IMPLANT STABILITY IN AUGMENTED ANTERIOR MAXILLA USING SEGMENTAL INLAY GRAFTING TECHNIQUE

Objectives: The aim of this paper is to estimate the primary implant stability in augmented anterior maxilla using palatal approach inlay grafting. Patients and Methods: Nine patients were selected. All patients underwent palatal approach utilizing segmental osteotomy for the bone of the anterior maxilla and insertion of alloplastic bone block as grafting material. Four months later the bone gain was measured and compared and implant insertion was done. The implant primary stability was measured using Osstell. Results: There was adequate primary implant stability in all augmented regions . Conclusion: Segmental sandwich osteotomy technique is an effective technique for augmentation of the anterior maxilla. The grafted alveolar ridge provided adequate primary implant stability.
Web application security testing as part of continuous integration in .NET projects

The purpose of this study was to investigate security controls for continuous integration in . NET projects. The thesis introduces common theory related to the area; web application security testing, continuous integration, continuous delivery and DevOps. In the problem statement the defense in depth model is introduced and typical threats for modern web applications are introduced. The study introduces two example projects and several security controls. Current state analysis was done for both example projects and a research was conducted about suitable security controls that market has to offer for . NET projects. After having the initial situation cleared a mitigation plan was done for the risks and to control different types of threats. Each of the security controls was evaluated for usage in Jenkins. For most of the security controls implementation is also introduced and evaluation about usage of the tool. Security controls usefulness is evaluated against different types of threats that web applications are facing and against feelings that example projects ́ team members have towards each control. As a results the thesis introduces usefulness estimates for each security control and also guidance how they can be taken into use in a Jenkins continuous integration environment. As the main result the study presents how combining different kind of tools can help in mitigating typical risks that a web application project is facing. Education is found to be in a crucial part in facing the threats. Software developers in example projects felt that static code analysis tools and performance analysis tools were the most useful ones for their projects.