Miracle-dz/UniFAR-FTUs huggingface dataset:
Organizational Justice and Human Resource Management

'Folger and Cropanzano point to the pervasiveness of justice considerations in organizational behaviour. [They] are successful in presenting a framework focusing on accountability for events and on well-being. The theory presented emphasizes the distinctions between an event's negative impact and whether someone is held accountable for that event. [The authors] are convincing when they present the relevant theories of organizational justice. In sum, a good introductory book about the under-exposed theme of justice in organizations' - International Journal of Selection and Assessment Why are some acts but not others perceived to be fair? How do people who experience unfairness respond toward others held accountable for the unfairness? This book reviews the theoretical organizational justice literature and explores how the research on justice applies to various topics in organizational behaviour including personnel selection systems, performance appraisal and the role of fairness in resolving workplace conflict.Organizational Justice and Human Resource Management considers justice in organizations within a new framework - Fairness Theory - which integrates previous work in this area by focusing on accountability for events with negative impact on material and psychological well-being.
Multiple Sequence Alignment by Immune Artificial System

In this paper we describe ClonAlign a new iterative approach for the well-known bioinformatics problem: multiple sequence alignment (MSA). It is a significant task which is used to solve other problems like construction of phylogenetic trees and structural and functional prediction of proteins, etc. In this work, MSA is viewed as an optimization problem for which a new framework relying on Natural Computing is proposed. The originality in our approach consists in using an artificial immune system (AIS) to deal with the MSA problem, the general motivation is the ability to optimise any objective function that one can invent. Using the BAUBASE benchmark database, the experimental results have shown the effectiveness of the proposed framework and its ability to achieve good quality solutions comparing to other existing packages.
Can High-Performance Interconnects Benefit Hadoop Distributed File System ?

During the past several years, the MapReduce computing model has emerged as a scalable model that is capable of processing petabytes of data. The Hadoop MapReduce framework, has enabled large scale Internet applications and has been adopted by many organizations. The Hadoop Distributed File System (HDFS) lies at the heart of the ecosystem of software. It was designed to operate and scale on commodity hardware such as cheap Linux machines connected with Gigabit Ethernet. The field of Highperformance Computing (HPC) has been witnessing a transition to commodity clusters. Increasingly, networks such as InfiniBand and 10Gigabit Ethernet have become commoditized and available on motherboards and as lowcost PCI-Express devices. Software that drives InfiniBand and 10Gigabit Ethernet works on mainline Linux kernels. These interconnects provide high bandwidth along with low CPU utilization for network intensive operations. As the amounts of data processed by Internet applications reaches hundreds of petabytes, it is expected that the network performance will be a key component towards scaling data-centers. In this paper, we examine the impact of high-performance interconnects on HDFS. Our findings reveal that the impact is substantial. We observe up to 11%, 30% and 100% performance improvement for the sort, random write and sequential write benchmarks using magnetic disks (HDD). We also find that with the emerging trend of Solid State Drives, having a faster interconnect makes a larger impact as local I/O costs are reduced. We observe up to 48%, 59% and 219% improvement for the same benchmarks when SSD is used in combination with advanced interconnection networks and protocols.
Different Patterns of Prospective, Retrospective, and Working Memory Decline across Adulthood

Previous studies have compared young and old adults’ performance on prospective memory tasks but little attention has been given to possible changes in middle-aged participants. This study was designed to compare changes in prospective memory (PM), retrospective memory (RM), and working memory (WM) across adulthood. Eighty-five Brazilian adults were subjected to word-spans, working memory, text recall and prospective verbal tests. Logistic regression analysis showed that decline probability in word-span tests differed in comparison to WM and PM tests, suggesting that difficulties in tasks that require executive functions are already present in both middle-aged adults and older adults, and underscoring the need to include middle-aged adults in the investigation of age-related memory decline.
Parallel Inheritance Hierarchy : Detection from a Static View of the System

We expose a case study of a bad smell detection through metrics. In practice, bad smell detection emerges from human observations. Metrics allow to obtain an objective view of the software, so they must be used as instruments to detect bad smells. Concretely, we focus in the bad smell: Parallel Inheritance Hierarchy, using a metric subset. Although it is not a serious bad smell, however its detection is difficult in large and medium size systems. Besides, it is usually necessary to have several versions of the system to detect its presence. We define a process to manage the big amount of data extracted from a system to determine where exists this bad smell, only with an available version. The saving of time and effort in this process is showed as an advantage opposite to other solutions.
Strategy Consulting at the Crossroads: Technical Change and Shifting Market Conditions for Top-Level Advice

In the 1990s, the market for strategy consulting firms changed markedly. The growth of IT-related advice, and the entrance of new competitors into strategic advice, emerged as new market determinants. In spite of stable growth, strategy-consulting firms are facing increasing competition from service providers that had originally specialized in other fields of consulting and related activities. This article outlines the changes that triggered the shifts in the consulting market structure, and refers to evolutionary economics, information economics and embeddedness theory in order to explain them. It discusses the possibilities for strategy consulting firms to cope with these challenges, and concludes with a discussion of the broader developments in the light of current events.
The Empirical Foundations of the Arbitrage Pricing Theory I: the Empirical Tests

This paper provides a detailed and extensive examination of the validity of the APT based on maximum likelihood factor analysis of large cross-sections of securities. Our empirical implementation of the theory proved in capable of explaining expected returns on portfolios composed of securities with different market capitalizations although it provided an adequate account of the expected returns of portfolios formed on the basis of dividend yield and own variance where risk adjustment with the CAPM employing the usual market proxies failed. In addition, it appears that the zero beta version of the APT is sharply rejected in favor of the riskless rate model and that there is little basis for discriminating among five and ten factor versions of the theory.
Preparation and characterization of self-assembled percolative BaTiO3–CoFe2O4 nanocomposites via magnetron co-sputtering

Abstract BaTiO3–CoFe2O4 composite films were prepared on (100) SrTiO3 substrates by using a radio-frequency magnetron co-sputtering method at 750 °C. These films contained highly (001)-oriented crystalline phases of perovskite BaTiO3 and spinel CoFe2O4, which can form a self-assembled nanostructure with BaTiO3 well-dispersed into CoFe2O4 under optimized sputtering conditions. A prominent dielectric percolation behavior was observed in the self-assembled nanocomposite. Compared with pure BaTiO3 films sputtered under similar conditions, the nanocomposite film showed higher dielectric constants and lower dielectric losses together with a dramatically suppressed frequency dispersion. This dielectric percolation phenomenon can be explained by the ‘micro-capacitor’ model, which was supported by measurement results of the electric polarization and leakage current.
MINING USER'S WEB SEARCHING SKILLS: FUZZY COGNITIVE STATE MAP VS. MARKOVIAN MODELING (INVITED PAPER)

The vast majority of college students have been reared as researchers in an environment where boundaries for information have been clearly marked, i.e., that of books and paper text. Increasingly, however, they are called upon to perform tasks in an environment not clearly bounded, that of hyperspace. How do we learn to surf in this unfamiliar medium? What strategies do people use when surfing through the unbounded space of hyperlinks or the World Wide Web (WWW)? In order to effectively teach students new surfing skills we must be able to understand how neophyte web users form the cognitive neurological networks that result in a mental pathway, or cognitive map, that makes more navigable the route to further information as well as the information they set out to find. A markovian modeling of user’s behavior is introduced and compared to a fuzzy cognitive map (FCM) that represents the opinions of experts on how users surf the web. Experts are divided on what causes users to fail their queries on the web. This paper shows that a viable FCM model can be developed and some limit-cycle equilibria are uncovered. A FCM limit cycle repeats a sequence of events and actions. Limit cycles can reveal cognitive and behavioral patterns of users on the web. An adaptive FCM is built to reflect its causal behavior in time. This change reflects the user’s behavior as their knowledge of the web increases with time. The causal behavior learns from data. Users lean new patterns and reinforce old ones. Copyright c ©2002 Yang’s Scientific Research Institute, LLC. All rights reserved. Received by the editors December 5, 2002 / final version received December 6, 2002.
A Simple Primal Algorithm for Intersecting 3-Polyhedra in Linear Time

This thesis presents, in full, a simple linear time algorithm for intersecting two convex 3-polyhedra P and Q. This differs from the first such algorithm -- due to Chazelle -- in that it operates entirely in primal space, whereas Chazelle''s algorithm relies heavily on duality transforms. We use the hierarchical representations of polyhedra due to Dobkin and Kirkpatrick to induce a cell complexes between coarse approximations, P^k and P_k of P satisfying P_k subset-of P subset-of P^k, and similar approximations Q^k and Q_k of Q satisfying Q_k subset-of Q subset-of Q^k. We show that the structure of such complexes allows intersection queries to be answered efficiently. In particular, the sequence of cells intersected by a ray can be identified in time proportional to the length of the sequence. The algorithm operates by recursively computing the intersections: P^k intersect Q_k and P_k intersect Q^k . Then edges of the union of approximations P intersect Q^k and Q intersect P^k are traversed by tracing their intersection with the two cell complexes. We show that each such edge can be traversed in constant time. In the process, most of the edges of P intersect Q which lie simultaneously on the boundary of P and Q will be traced. We show that the total time needed to construct those which remain is linear in the size of P and Q . Though based on the same general principles, the algorithm presented here is somewhat simpler than that described by Chazelle, which uses only the cell complexes induced by the inner hierarchical representations of P and Q . By extending Chazelle''s search structure to the space exterior to the given polyhedra, we avoid having to operate simultaneously in primal and dual spaces. This permits us to conceptualise the algorithm as traversing the edges of the boundary of (P intersect Q^k) union (Q intersect P^k). As a side effect, we avoid one half of Chazelle''s recursive calls, which leads to a modest improvement in the asymptotic constants.
Modeling the Forces of Cutting With Scissors

Modeling forces applied to scissors during cutting of biological materials is useful for surgical simulation. Previous approaches to haptic display of scissor cutting are based on recording and replaying measured data. This paper presents an analytical model based on the concepts of contact mechanics and fracture mechanics to calculate forces applied to scissors during cutting of a slab of material. The model considers the process of cutting as a sequence of deformation and fracture phases. During deformation phases, forces applied to the scissors are calculated from a torque-angle response model synthesized from measurement data multiplied by a ratio that depends on the position of the cutting crack edge and the curve of the blades. Using the principle of conservation of energy, the forces of fracture are related to the fracture toughness of the material and the geometry of the blades of the scissors. The forces applied to scissors generally include high-frequency fluctuations. We show that the analytical model accurately predicts the average applied force. The cutting model is computationally efficient, so it can be used for real-time computations such as haptic rendering. Experimental results from cutting samples of paper, plastic, cloth, and chicken skin confirm the model, and the model is rendered in a haptic virtual environment.
Computer Security Technology Planning Study

Approved for pubJic reJease; distribution unri mited. When U.S. Government drawings, specifications or other data are used for any purpose other than a definitely related government procurement operation, the government thereby incurs no responsibility nor any obligation whatsoever; and the fact that the government may have formulated, fui·nished, or in any way sup­ plied the said drawings, specifications, or other data is not to be regarded by implication or otherwise as in any manner licensing the holder or any other person or conveying any rights or permission to manufacture, use, or sell any patented invention that may in any way be related thereto.
Result Merging Technique for Answering XPath Query over XSLT Transformed Data

Caching stores the results of previously answered queries in order to answer succeeding queries faster by reusing these results. We propose two different approaches for using caches of XSLT transformed XML data in order to answer queries. The first approach checks whether or not a current query Q can be directly answered from the result of a previously answered query Qi stored in the cache. The new query is otherwise submitted to the source over the network, the answer of the query is determined, transmitted back to the client, and stored in the cache. The second approach determines only the intersection Q-Qi and integrates the result of Q--Qi into the previous results in the cache, which requires applying a numbering scheme for the output of the XSLT stylesheet. We show by experimental results that the second approach can significantly speed up the answering time in comparison to the first approach, but is not significantly slower in few worst cases than the second approach.
Social media user personality classification using computational linguistic

Personality is what that differentiate an individual with another. By knowing and understanding an individuals personality, many advantages can be obtained. Together with rapid growth of technology, knowing an individuals personality can be done automatically. Psychology researches suggest that certain personality traits have correlation with linguistic behavior. Supported by the fame of social media, predicting humans personality from their post become possible. Most existing researches have done similar approach in predicting personality from social media. However, focuses on closed vocabulary investigation with English as their language and mostly based on Big Five personality type. In this paper, we explore Twitter as data source for open vocabulary personality prediction in Indonesia. We analyze and compare three different statistical model and find correlation about which personality traits are related with linguistic behavior. As a result, Naïve Bayes classifier outperforms the other statistical model with the highest accuracy (80% for I/E and 60% for S/N, T/F, and J/P personality traits) and shows the best performance in terms of speed in classifying the users. Moreover, a simple application was developed based on the best statistical model compared before to classify an individual's personality with their Twitter username and gender as an input. In addition, the top 30 of most frequently used words per personality traits is also the result of this experiment, in which all of the experiments has been validated with a psychology expert.
A monolingual approach to detection of text reuse in Russian-English collection

In this paper we develop a method for cross-lingual (Russian and English) text reuse detection. The method is based on the monolingual approach - translation of texts into one language and reduction to the text similarity problem. We split texts into non-overlapping fragments and compare fragments to each other by means of different metrics - BLEU(1-2), ME-TEOR, cosine similarity between bag-of-words representations of each snippet, and cosine similarity between vectors obtained from doc2vec-trained model. We explore the impact of choice of metric on the quality of text reuse detection. We assess quality of the method on a sample of a hundred scientific documents, originally in Russian, machine translated into English. Preliminary findings demonstrate feasibility of the approach.
PAX3 mutations and clinical characteristics in Chinese patients with Waardenburg syndrome type 1

Purpose To detect paired box gene 3 (PAX3) mutations and associated phenotypes in Chinese patients with Waardenburg syndrome type 1 (WS1). Methods Five unrelated families with suspected WS1 were selected from our Genomic DNA Repository for Hereditary Eye Diseases. The coding and adjacent intronic regions of PAX3 were amplified by polymerase chain reaction and the amplicons were then analyzed by cycle sequencing. Variations detected were further evaluated in available family members as well as one hundred controls with heteroduplex-single strand conformational polymorphism (heteroduplex-SSCP) analysis and/or clone sequencing. Results Three novel and two known mutations in PAX3 were detected in five patients, respectively: c. 567_586+17del (p.Asp189_Gln505delinsGluGlyGlyAlaLeuAlaGly), c. 456_459dupTTCC (p.Ile154PhefsX162), c. 795_800delCTGGTT (p.Trp266_Phe267del), c.799T>A (p.Phe267Ile), and c.667C>T (p.Arg223X). Two novel mutations proved to be de novo as their parents did not carry the mutations. All five patients with PAX3 mutations had dystopia canthorum and different iris color and fundi between their two eyes. However, none had white forelock, skin hypopigmentation, and deafness. Conclusions Our findings expand the frequency and spectrum of PAX3 mutations and ethnic-related phenotypes in Chinese patients with WS1. De novo mutations in PAX3 have not been reported before.
A new interconnection scheme for WSN and IPv6-based internet

Most applications of WSN are monitoring or inspection of the phenomenon, which determined its inability of isolation but for necessity of interconnection with external network. IPv6, the kernel protocol of next generation networks, since its advantages in huge addresses, support of address's auto-configuration and mobility, research of whose implementation on remote management and configuration of WSN is of great significance. Therefore, with the research and analysis on current interconnection schemes for WSN and IPv6-based internet, in this paper, a new scheme of interconnection is proposed considering simplicity, flexibility, reliability and low power consumption, meanwhile simulation shows its greatly potential advantages, worthy of further research.
Self-Funding Portfolios and Collateralised Derivative Pricing

A general framework is proposed for including the effects of collateral management in derivative pricing. Comprehensive yet simple formulas are obtained allowing the impact of different types of collateral agreements to be incorporated in valuations. The approach centers on analysing the self-financing condition on portfolios which explicitly include the market funding of derivative, collateral and hedging positions. Major simplifications, including a martingale pricing formula, are obtained when funding and collateral are in the form of cash, but the general framework aims at greater generality. The functional dependence of the collateral balance on the value of the derivative also plays a central role in the analysis. The “institutional” implications for liquidity management (pertaining to derivative desk funding, bank treasury “transfer pricing,” and the interplay with the repo market) are briefly considered.
A survey of Grid research tools: simulators, emulators and real life platforms

Grid infrastructures are becoming the largest and most complex distributed systems ever built. Because of their size and complexity, they raise many algorithmic challenges for security, fault tolerance, faire share and performance. When investigating a research issue, researchers are using different methodologies and different tools. Most of the published Grid studies were conducted on real production infrastructures or simulators. There are others research tools such as mathematical models, emulators and large scale experimental testbeds. In this paper we present a survey of existing tools and methodologies to investigate Grid research issues. We describe the some mathematical models, the main generic simulators (Bricks, SimGrid, GridSim, GangSim and OptorSim), a couple of emulators (MicroGrid and Grid eXplorer) and a couple of experimental testbeds (DAS2 and Grid’5000). We brie(cid:3)y discuss their respective advantages and limitations and present the validation approach used by their authors.
Real-Time People Counting System using Curve Analysis Method

A new people-counting system is described in this paper. The proposed system showed its effectiveness and flexibility to count the number of people in a certain image and performing real-time people counting. A Curve Analysis method is developed for the crowd monitoring system to count the objects. Promising results were obtained and the evaluation on their performance indicates the proposed Curve Analysis method counting method provides good results.
What's Inside the Box? – Length‐Scales that Govern Fracture Processes of Polymer Fibers

This work shows that multiple length-scales must be considered concurrently to explain a polymer fiber's impressive mechanical performance and resilience. The considerations of interatomic interactions alone cannot explain the fracture strength observed in biological fibers. Instead, the fracture strength of a fiber depends strongly on the length-scale of observation, including a fiber's sensitivity with respect to cracks and other flaws.