Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Secure Cache Management with Dynamic Pricing Scheme for Cloud Environment

2 ABSTRACT: In this article, we propose the basic concepts about efficient secure cache management with dynamic pricing scheme for cloud environment and survey the list of existing cloud computing techniques. Pricing schemes are used in commercial clouds. Infrastructure as a Service (IaaS) provides resources based on demand model. Data centers are used to share storage spaces and data values. Caching technology improves the performance of the cloud. Cache as a service (CaaS) model is an additional service to IaaS. The proposed system is designed to provide data and services with cache support. Dynamic pricing scheme is used to estimate the price for cache. Data security is provided using Advanced Encryption algorithm. The data verification process is carried out with the secure hashing algorithm. Remote Direct Memory Access is used to access the data storages in the remote cloud server.
Disruption of the Lipid-Transporting LdMT-LdRos3 Complex in Leishmania donovani Affects Membrane Lipid Asymmetry but Not Host Cell Invasion

Maintenance and regulation of the asymmetric lipid distribution across eukaryotic plasma membranes is governed by the concerted action of specific membrane proteins controlling lipid movement across the bilayer. Here, we show that the miltefosine transporter (LdMT), a member of the P4-ATPase subfamily in Leishmania donovani, and the Cdc50-like protein LdRos3 form a stable complex that plays an essential role in maintaining phospholipid asymmetry in the parasite plasma membrane. Loss of either LdMT or LdRos3 abolishes ATP-dependent transport of NBD-labelled phosphatidylethanolamine (PE) and phosphatidylcholine from the outer to the inner plasma membrane leaflet and results in an increased cell surface exposure of endogenous PE. We also find that promastigotes of L. donovani lack any detectable amount of phosphatidylserine (PS) but retain their infectivity in THP-1-derived macrophages. Likewise, infectivity was unchanged for parasites without LdMT-LdRos3 complexes. We conclude that exposure of PS and PE to the exoplasmic leaflet is not crucial for the infectivity of L. donovani promastigotes.
UCD IIRG at TAC 2012

This notebook paper describes the IIRG system entered in the TAC 2012 Knowledge Base Population Track. The overall goal of KBP is to automatically identify salient and novel entities from multiple languages, link them to corresponding Knowledge Base (KB) entries (if the linkage exists) in a target language, then discover attributes about the entities (extract temporal spans about the attributes if there exist dynamic changes), and finally expand the KB with any new attributes. (Ji et al., 2010)
Tapping the Implicit Information for the PS to DS Conversion of the Chinese Treebank

We examine the linguistic adequacy of dependency structure annotation automatically converted from phrase structure treebanks with the head table approach and show this method is far from satisfactory. We propose an alternative approach that better exploits the implicit information in the phrase structure and show these two approaches only agree 60.6% of the time when evaluated against the Chinese Treebank.
Separating Data and View: Support View-wandering Between Different Trades during Engineering Design

Based on the analysis of the two forms during collaboration of engineering design, which are named as time collaboration and space collaboration, the paper introduces a TDM (total data model) centered framework to support both time and space collaboration of hybrid CAD applications. By separating data and view the framework supports designers' view-wandering between different trades so that they can adjust their behavior to avoid space conflict. The maintenance of time consistency is achieved by utilizing AST (address space transformation) algorithm, and in order to adapt AST to the new large-scale design environment, an effective garbage collection strategy is introduced. We have developed a prototype system to prove the validity, efficiency, feasibility of our framework and experiments result gives a clue of good prospect both for theory research and practical application.
The impact of work alienation on organizational health: A field study in health sector

ABSTRACT This study aims to examine the impact of work alienation on organizational health. The implementation of the research is conducted on the nurses and physicians working in a public hospital and the data collected from 388 people are evaluated. As a result of the analyses carried out, work alienation’s subdimensions and correlations with organizational health are moderate in the negative direction and the subdimensions of perception of work alienation explain the 21.5% of total variance on organizational health. When the test results of regression coefficient significance in the regression model are analyzed, increasing levels of powerlessness and self-estrangement of the participants decrease the perception of organizational health statistics. Order of relative importance predictor variables on the organizational health level is such as powerlessness, self-estrangement, and meaninglessness.
The Abcs of Mutual Funds: A Natural Experiment on Fund Flows and Performance

In the 1990s, a large majority of funds with front-end loads introduced additional share classes, which allowed investors to pay annual fees and/or back-end charges instead of a front-end load. The transition to a multiple-class structure provides a natural experiment with regard to investor clienteles and fund performance. We examine (a) whether the new fee structures increase fund cash flows by attracting investors with different investment horizons and sensitivities to performance; (b) whether changes in the volatility and level of fund flows induced by new investor clienteles affect fund performance - despite little change in fund management and investment objectives. Our finding is that the multiple-class funds, after controlling for performance and fund attributes, attract significantly more new money than the single-class funds. Consistent with the clientele hypothesis, investors in the new classes tend to have a shorter investment horizon and a greater sensitivity to fund performance than investors in the front-end load class. The downside to introducing the new classes, however, is a significant drop in fund performance, which erodes the cash flow benefit of the new classes. Furthermore, the performance drop is shown to be increasing in the relative size of the new classes and in the volatility of their fund flows.
Noncommutative Field Theory on Yang's Space-Time Algebra, Covariant Moyal Star Product and Matrix Model

Noncommutative field theory on Yang's quantized space-time algebra (YSTA) is studied. It gives a theoretical framework to reformulate the matrix model as quantum mechanics of $D_0$ branes in a Lorentz-covariant form. The so-called kinetic term ($\sim {\hat{P_i}}^2)$ and potential term ($\sim {[\hat{X_i},\hat{X_j}]}^2)$ of $D_0$ branes in the matrix model are described now in terms of Casimir operator of $SO(D,1)$, a subalgebra of the primary algebra $SO(D+1,1)$ which underlies YSTA with two contraction- parameters, $\lambda$ and $R$. $D$-dimensional noncommutative space-time and momentum operators $\hat{X_\mu}$ and $\hat{P_\mu}$ in YSTA show a distinctive spectral structure, that is, space-components $\hat{X_i}$ and $\hat{P_i}$ have discrete eigenvalues, and time-components $\hat{X_0}$ and $\hat{P_0}$ continuous eigenvalues, consistently with Lorentz-covariance. According to the method of Lorentz-covariant Moyal star product proper to YSTA, the field equation of $D_0$ brane on YSTA is derived in a nontrivial form beyond simple Klein-Gordon equation, which reflects the noncommutative space-time structure of YSTA.
Incremental Validity Analyses of the Violence Risk Appraisal Guide and the Psychopathy Checklist: Screening Version in a Civil Psychiatric Sample

This study compares two instruments frequently used to assess risk for violence, the Violence Risk Appraisal Guide (VRAG) and the Psychopathy Checklist: Screening Version (PCL:SV), in a large sample of civil psychiatric patients. Despite a strong bivariate relationship with community violence, the VRAG could not improve on the predictive validity of the PCL:SV alone, even though the VRAG includes several ostensible violence risk factors other than psychopathy. Moreover, incremental validity analyses indicated that the remaining VRAG items accounted for little or no variance in violent outcomes once psychopathy scores were controlled. Conversely, the PCL:SV continued to account for considerable variance after controlling for the VRAG. These results reflect the limited validity of the VRAG items in civil psychiatric samples beyond the variance that is explained by the PCL:SV alone.
Situation-Aware Data Stream Mining Service for Ubiquitous Applications

Advances in data mining, particularly in anytime anywhere data stream mining, make on-board data analysis possible in mobile devices with resource constraints. In this work, we propose a data stream mining service to support knowledge discovery in ubiquitous applications while addressing resource constraints on mobile devices. As the basis for our service we describe a general mechanism, which autonomously adapts the execution of the data stream mining process to each situation, using context and resource awareness. We describe the main components to achieve adaptability and propose a decision mechanism based on machine learning to support the configuration selection task, as we consider this to be a key element to achieve autonomy and adaptation of the mining service. We then present an instantiation of the proposed approach for the particular case of classification using the VFDT algorithm and analyze which factors influence it. Experimental results show how the adaptable data stream mining service improves resource consumption while increasing the quality of the anytime mining model.
The Inhibitory Effects of Thiopental, Midazolam, and Ketamine on Human Neutrophil Functions

We investigated the effect of thiopental, midazolam, and ketamine (at clinically relevant concentrations and at 0.1 and 10 times these concentrations) on several aspects of human neutrophil functions. The three intravenous (IV) anesthetics significantly decreased chemotaxis, phagocytosis, and reactive oxygen species (ROS) (O2-, H2 O2, OH) production of neutrophils in a dose-dependent manner. At clinically relevant concentrations, thiopental and midazolam significantly depressed these neutrophil functions. However, ketamine at the clinical plasma concentration did not impair chemotaxis or ROS production, except phagocytosis. In contrast, the three anesthetics had no effect on the levels of ROS production by a cell-free ROS generating system. In addition, intracellular calcium concentrations in neutrophils stimulated by N-formyl-L-methionyl-L-leucil-L-phenylalanine were dose-dependently decreased in the presence of each of the three anesthetics. The suppression of an increase in intracellular calcium concentrations may be responsible for the inhibition of neutrophil functions by the IV anesthetics. Implications: Neutrophils play an important role in the antibacterial host defense system and autotissue injury. We found that thiopental and midazolam (but not ketamine), at clinically relevant concentrations, impaired the neutrophil functions.
OOV utterance detection based on the recognizer response function

This paper addresses the problem of out of vocabulary (OOV) utterance detection for spoken language systems in an open microphone environment. This problem is becoming crucial as use of spoken language systems grows beyond the research laboratory. In the past this problem has been addressed in the context of keyword spotting, e.g., for connected digits in a telephone environment and more recently in OOV word detection in a large vocabulary continuous speech recognition system. We develop a novel technique for designing a lexical garbage model that takes advantage of application specific knowledge and any potential bias in the recognizer. We do this through the formulation of a recognizer response function.
An adaptive algorithm for embedded real-time point cloud ground segmentation

This paper presents a fast algorithm for ground segmentation that quickly and accurately differentiates ground points from obstacles after processing unstructured point clouds. Unlike most recent approaches found in the literature, it does not rely on any sensor-specific feature or data ordering. It performs an orthogonal projection into the horizontal plane followed by a top-down 4-ary tree segmentation. The segmentation self-adapts to the point cloud, focusing processing effort on detailed areas. This adaptive subdivision process allows successfully extracting ground points even when the floor is not perfectly flat. Finally, tests demonstrate real-time performance for execution in low cost embedded devices.
FED : F UZZY E VENT D ETECTION MODEL FOR WIRELESS SENSOR NETWORKS

Event detection is one of the required services in sensor network applications such as environmental monitoring and object tracking. Composite event detection faces several challenges.The first challenge is uncertainty caused by variety of factors, while the second one is heterogeneity of sensor nodes in sensing capabilities. Finally, distributed detection,which is vital to facilitate uncovering composite events in large scale sensor networks, is challenging.We devised a new fuzzy event detection model which is called FED that benefits from fuzzy variables to measure the intensity as well as the occurrenceof detected events. FED uses fuzzy rules to define composite eventsto enhance handling uncertainty. Moreover, FED provides a node level knowledge abstraction, which offers flexibility in applying heterogeneous sensors. The model is also applicable to a clustered network for distributed event detection. The simulation results show that FED is less sensitive to environmental noise and performs better in terms of percentage of detected eventscompare to a similar approach.
Supporting Japanese Mothers of Children with ADHD: Cultural Adaptation of the New Forest Parent Training Programme†

International practice guidelines recommend medication and behavioral intervention as evidenced-based treatments for attention deficit hyperactivity disorder (ADHD). Currently in Japan, the availability of non pharmacological interventions for ADHD is limited. We report the results of a pilot and a proof-of-concept study for a new behavioral intervention for Japanese mothers of children with ADHD. The pilot study delivered a standard six-session behavioral intervention and two parent-support sessions. Participants approved the group format and requested additional support to change parenting practices and behavioral strategies targeting ADHD symptoms. For the proof-of-concept study, the intervention was revised to include five sessions of pre intervention support followed by six sessions of the New Forest Parent Training Programme (NFPP), an evidence based intervention for ADHD. The revised intervention, NFPP-Japan, was associated with reductions in the mothers’ reports of children's ADHD symptoms and aggression, more effective parenting practices, and reduced parenting stress. The pilot and proof-of-concept studies indicate that it is possible to successfully modify Western behavioral interventions for Japanese mothers and to justify a randomized controlled trial evaluation of the NFPP-Japan, which is currently underway.
The beauty of simple models: Themes in recognition heuristic research

The advantage of models that do not use flexible parameters is that one can precisely show to what degree they predict behavior, and in what situations. In three issues of this journal, the recognition heuristic has been examined carefully from many points of view. We comment here on four themes, the use of optimization models to understand the rationality of heuristics, the generalization of the recognition input beyond a binary judgment, new conditions for less-is-more effects, and the importance of specifying boundary conditions for cognitive heuristics.
Correct Systems -building Business Process Solutions Chapter 3

Testing, correctness, quality oriented testing, when testing is done, finite state machine testing, X-machine testing, design for test, the fundamental theorem, reflections and conclusions. All software systems are subject to testing-for some of them testing is the major activity in the project. Testing, however, rarely gets the attention it deserves from researchers and developers, partly because its foundations are very weak and ill-understood. The principal purpose of testing is to detect (and then remove) faults in a software system. A number of techniques for carrying out testing, and in particular, for the generation of test sets exist. Many sophisticated (and expensive) tools are available on the market and many look to these to provide a solution to the problems of building fault-free systems. We consider the problem of fault detection and note that few, if any, of the existing methods really address the real issues. In particular no methods allow us to make any statement about the type or precise number of faults that remain undetec-ted after testing is completed. Thus we cannot really measure the effectiveness of our testing activities in any rigorous way. However, by considering testing from a straightforward, theoretical point of view we demonstrate that a new method for generating test cases can provide a more convincing approach to the problem of detecting ALL faults and allows us to make sensible claims about the level and type of faults remaining after the testing process is complete. The purposes of software testing have been discussed in a number of places and we will consider a few of the interesting statements and claims that have been made about testing. Myers [8] states that the purpose of testing is to detect faults and the definition of a good test is one that uncovers faults. The implication clearly being that a test that fails to uncover any existing faults is inadequate in some sense. This emphasis on the finding of faults could lead one to assume that the more faults detected the better the test. However, one could argue that a test that uncovers a single serious fault might well be more successful than a test that uncovered a number of trivial faults. This immediately leads us into the vexed question of what is a " serious fault " and how these might be defined and identified! Dijkstra [59] pours scorn on the whole concept of testing and states: " …
Death Rather Than Disclosure: Struggling to Be a Real Man

Non-disclosure of distress emerged as a key issue in examining pathways to suicidal action for a group of men. Disclosure of difficulties was viewed as un-masculine, as implying weakness and this was associated with feminine or homosexual type behaviour. Constant performative work, including hyper-performances, was required to project an image of strength and to conceal growing levels of distress. When extreme, this challenged their sense of a coherent self-identity. Performances were directed at family, friends and work colleagues and this inhibited others from identifying and responding to the distress.
Hypercubes as dessins d'enfant

We describe the action of the group GL2(Z) on embeddings of hypercubes on compact orientable surfaces, specifically classifying the elements of finite order that can change the genus of the underlying surface by an arbitrarily large amount. In doing so we give an explicit illustration of the kind of computations encountered in the study of dessins d'enfants in the hope that those new to the area may find such an explicit example useful.
Competence-based Human Resource Management Training

The paper deals with the identification of new ways and opportunities to train and develop HRMD professionals based on the competence approach. This issue is developed on the basis of the recently introduced Bulgarian Human Resource Management and Development Association's Professional Standards. The work describes and discusses the Bulgarian experience in their elaboration and application, as well as the formation of new approaches and methods for training the candidates to be certified. It calls for introducing modern training technologies. European recognition, wide usage, quicker and easier access to already operating Professional HRMD standards could be accelerated trough international social networks (and/or international strategic alliances). Understanding competencies The notion " competence " is not a new one, but it has recently come forth and has became a central discussion point for both theoreticians and practitioners in the field of human resource management and development (HRMD). Competencies have grown to be one of the " big ideas " in HRMD along with management by objectives, and total quality management. Competency management has rapidly turned into a key HR strategy (Horton, 2002). Competency models and frameworks have been developed, applied and customized across a broad range of industry sectors. The competence-based approach is considered as a powerful instrument for contemporary human resource management. A more detailed study of the etymology of this notion shows a great variety in its meanings, and various sciences explain this notion in different ways. It has been initially developed by Psychology, meaning the ability of individuals to meet the expectations of the environment. It is underlined, that it " has at least three components… relevant abilities to be possessed (1), …legal qualification (2) and the recognized right to belong to a profession (3). 1 An earlier study of French sociological literature states that the notion was introduced in 1958 by Raymond Vatye in his definition of training: " …training is a combination of activities, capable to maintain the integrity of the personnel individually and collectively to the degree
Beyond one's own understanding: How text comprehensibility affects laypeople's decision about scientific claims

The study investigated whether the facilitating eff ect of high text comprehensibility on lay recipients’ inclinati on to rely on their own decision about scientific claims is mitig ated if the presented information is controversial. Moreover, i t was assessed whether the impact of both information fea tures is mediated by perceptions of topic complexity. Lay re aders read medical text information varying in comprehensibility and controversiality and indicated their agreement strength and confidence with contained claims. Results revea led that participants’ reliance on their own agreement decis ion was stronger after reading comprehensible than incomprehensible texts, but this difference was larger in case of un controversial than controversial information. However, these effe cts were not mediated by perceptions of topic complexity.
Topology Controlling for QoS in Wireless Sensor Networks

Energy limitation is one of the most important characters in Wireless Sensor Networks(WSNs). Using energy efficiently is significant to prolong sensor network lifetime. The more repeated overlay is, the more energy is wasted. If we divide the nodes into some independent subsets and alternatively awake these subsets, the node energy is consumed slowly. However, the requirement of QoS is opposite to the ennergy. To solve this problem, the relationship between the desired QoS requirement and the minimum number of active nodes is analyzed in the randomly deployed sensor networks. We propose a Topology Controlling QoS(TCQS) Protocol for wireless sensor networks based on our analytical results. According to the energy and previous working status, our scheme selects the minimum number of active nodes without using any location information. Simulation results show that TCQS can not only reduce the energy consumption of nodes and increase the network lifetime, but also balance the energy consumption among nodes.