Miracle-dz/UniFAR-FTUs huggingface dataset:
An Integrated Approach to Information Systems Development for Supporting Customer-Centric Business Process

The issue of customer-centric enterprise focusing on realizing customer needs has recently received considerable attention in the corporate world. However, little research has yet been reported on developing Information Systems (IS) supporting the customer-centric enterprises. This research proposes an integrated approach of IS development that supports organizations aiming to become customer-centric enterprises using various customer profiles. In this paper, we propose an integrated approach unifying goal modeling, business process modeling, and information systems modeling. The approach is expected to be seamlessly linked with the object-oriented systems development approach. Finally, we apply this approach to the real case of a securities company in Japan.
Training Programs in a Child Welfare Population : A Review of the Evidence Executive Summary

Child maltreatment is one of the most serious risks to healthy emotional development (Johnston, Kendrick, Polnay & Stewart-Brown, 2006) and is the largest single risk factor associated with developmental psychopathology (Brooker, 2001). State child protective services agencies substantiated 690,061 reports of child maltreatment in the United States during 2008 (U.S. DHHS, 2010a). Of these, 4,033 reports were in Maine 1.4% of the state’s children (U.S. DHHS, 2010a). Although child maltreatment rates were at a five-year low in 2008, child abuse and neglect clearly continues to be a serious problem, requiring a coordinated and thoughtful response from the public child welfare system.
2 9 Ja n 20 09 A survey of dynamical percolation

Percolation is one of the simplest and nicest models in probability theory/statistical mechanics which exhibits critical phenomena. Dynamical percolation is a model where a simple time dynamics is added to the (ordinary) percolation model. This dynamical model exhibits very interesting behavior. Our goal in this survey is to give an overview of the work in dynamical percolation that has been done (and some of which is in the process of being written up). Mathematics Subject Classification (2000). 60K35.
Bridge Deck Management System with Integrated Life-Cycle Cost Optimization

Bridge management systems can be classified as one of two types: network level or project level. The former type is concerned with the prioritization of bridges for inclusion in an upcoming maintenance, repair, and rehabilitation program, and the latter focuses on the repairs that suit the components of a selected bridge. Even though these types are interrelated, most bridge management research treats them as separate aspects. A comprehensive framework is presented for a bridge deck management system that aims at integrating project-and network-level decisions into a unified model to optimize costs at both levels. The novelty of the proposed approach stems from three main aspects: incorporating project-level repair options along with their performance improvements and cost implications; incorporating many flexible and practical features such as variable yearly budget limits, variable yearly discount rates, and optional methods for handling project-level repairs (e.g., single or multiple visits); and using a powerful genetic algorithm-based optimization to consider both project- and network-level variables into bridge life-cycle cost optimization. The proposed model and its implementation are described, and an example application is presented. Although this research focuses on bridge decks, details on future improvements to incorporate all bridge components are outlined.
Recombinant modular transporters for cell‐specific nuclear delivery of locally acting drugs enhance photosensitizer activity

The search for new pharmaceuticals that are specific for diseased rather than normal cells in the case of cancer and viral disease has raised interest in locally acting drugs that act over short distances within the cell and for which different cell compartments have distinct sensitivities. Thus, photosensitizers (PSs) used in anti‐cancer therapy should ideally be transported to the most sensitive subcellular compartments in order for their action to be most pronounced. Here we describe the design, production, and characterization of the effects of bacterially expressed modular recombinant transporters for PSs comprising 1) α‐melanocyte‐stimulating hormone as an internalizable, cell‐specific ligand; 2) an optimized nuclear localization sequence of the SV40 large T‐antigen; 3) an Escherichia coli hemoglobin‐like protein as a carrier; and 4) an endosomolytic amphipathic polypeptide, the translocation domain of diphtheria toxin. These modular transporters delivered PSs into the nuclei, the most vulnerable sites for the action of PSs, of murine melanoma cells, but not non‐MSH receptor‐overexpressing cells, to result in cytotoxic effects several orders of magnitude greater than those of nonmodified PSs. The modular fusion proteins described here for the first time, capable of cell‐specific targeting to particular subcellular compartments to increase drug efficacy, represent new pharmaceuticals with general application.
Community Influence Capacity on Firms: Lessons from the Peruvian Highlands

While much research has studied corporate management of stakeholders, this research focuses on the capacity of stakeholders to influence firms. Using a grounded theory research design, we draw on a comparative analysis of the relations between two neighbouring communities in the Peruvian highlands and the mining project that affects them. Our analysis suggests that control of resources and structural configurations are insufficient for explaining divergent actions and influence capacity, and highlights the role played by factors that we refer to as community vigour and the community’s pool of knowledge. We argue that these factors explain a community’s ability to develop an informed and shared interpretation of the situation in relation to firms and, therefore, to identify and carry out actions that will be more likely to influence firms to the community’s satisfaction. Thus, community vigour and pool of knowledge are additional sources of influence capacity. These findings contribute to the literature on stakeholder influence by providing a conceptual model that explains variance in stakeholder influence capacity that theories of resource dependence, structural position or network centrality do not fully explain.
Entropy calculations on a reversibly folding peptide: Changes in solute free energy cannot explain folding behavior

The configurational entropy of a β‐heptapeptide in solution at four different temperatures is calculated. The contributions of the backbone and of the side‐chain atoms to the total peptide entropy are analyzed separately and the effective contribution to the entropy arising from correlations between these terms determined. The correlation between the backbone and side‐chain atoms amounts to about 17% and is rather insensitive to the temperature. The correlation of motion within the backbone and within side‐chains is much larger and decreases with temperature. As the peptide reversibly folds at higher temperatures, its change in entropy and enthalpy upon folding is analyzed. The change in entropy and enthalpy upon folding of the peptide alone cannot account for the observed change in free energy on folding of the peptide in solution. Enthalpic and entropic contributions of the solvent thus also play a key role. Proteins 2001;43:45–56. © 2001 Wiley‐Liss, Inc.
Mobility Emulation Through Spatial Switching on a Wireless Grid

Experimental research involving large-scale mobile syste m is expensive and cumbersome. We present the design and implementation of a mobility emulation system that uses novel software techniques and controlled interference injection to facilitate experiments with a large number of “ mobile” IEEE 802.11 radios. With the provision for artificia l creation of coverage zones and interference patterns, we de monstrate how this system will substantially lower the barrier to large-scale mobile systems experimentation.
Sport Teams, Metaphors, Movement: Implications for the Management of Organized Human Action

Sports, or sportish activities, are among the oldest of professions, “ Hunting and fishing, the most important employments of mankind. became in its advanced state their most agreeable amusements, and they pursue for pleasure what they once followed from necessity. Fisherman have been so since the time of Theocritus” (Smith, 1776; p 203). As with much that Adam Smith wrote, this remains surprisingly accurate while not being entirely correct. Professional bass fishermen now make in excess of $100,000 a year (even participants in fantasy fishing leagues can win prizes worth up to $10,000) (Shoalts, 2007), and there exists a growing variety of sports, which can be pursued for both leisure and profit. In combination these sportish activities facilitated the development of the form we embody (Young, 2003; Bramble and Lieberman, 2004), play a vital role in shaping popular rituals that reflect our cultures (Blanchard and Cheska, 1995), and deeply influence the metaphors we live by (Lakoff and Johnson, 1980). Evidence of this influence is apparent in the increasing number of cultural fields becoming sport like (English, 2005), the substantial economic contribution of sport (Fort, 2003) and the number of shared concepts between sport and organizational and management theory (OMT). However, within OMT, while teams are increasingly central to organizational life (Cohen and Bailey, 1997), sport remains a non-traditional arena for management research. Surprising as it seems, despite the popularity of the sports metaphor, sport and its management are a mysterious (Sommer, 2006) known unknown.
Gene expression module-based chemical function similarity search

Investigation of biological processes using selective chemical interventions is generally applied in biomedical research and drug discovery. Many studies of this kind make use of gene expression experiments to explore cellular responses to chemical interventions. Recently, some research groups constructed libraries of chemical related expression profiles, and introduced similarity comparison into chemical induced transcriptome analysis. Resembling sequence similarity alignment, expression pattern comparison among chemical intervention related expression profiles provides a new way for chemical function prediction and chemical–gene relation investigation. However, existing methods place more emphasis on comparing profile patterns globally, which ignore noises and marginal effects. At the same time, though the whole information of expression profiles has been used, it is difficult to uncover the underlying mechanisms that lead to the functional similarity between two molecules. Here a new approach is presented to perform biological effects similarity comparison within small biologically meaningful gene categories. Regarding gene categories as units, a reduced similarity matrix is generated for measuring the biological distances between query and profiles in library and pointing out in which modules do chemical pairs resemble. Through the modularization of expression patterns, this method reduces experimental noises and marginal effects and directly correlates chemical molecules with gene function modules.
Distance Magic Cartesian Products of Graphs

Abstract A distance magic labeling of a graph G = (V,E) with |V | = n is a bijection ℓ : V → {1, . , n} such that the weight of every vertex v, computed as the sum of the labels on the vertices in the open neighborhood of v, is a constant. In this paper, we show that hypercubes with dimension divisible by four are not distance magic. We also provide some positive results by proving necessary and sufficient conditions for the Cartesian product of certain complete multipartite graphs and the cycle on four vertices to be distance magic.
A scheme for measuring subpath available bandwidth

This paper presents a novel probing scheme which can be used for estimating the available bandwidth of subpaths, without the requirement of control over both endpoints of a network path. Instead of a probe-packet receiver, this scheme uses the ICMP capability of routers. An estimate of the available bandwidth from the endpoint to a router is obtained in much the same way as for state-of-the-art end-to-end probing methods. Taking into account ICMP packet generation limitations and delay, the estimate should be interpreted as a lower bound of the actual available bandwidth.
Accessing Heritage Documents according to Space Criteria within Digital Libraries

Local cultural heritage document collections are characterized by contents strongly attached to a territory and its associated land history. Our contribution aims at enhancing such a content retrieval process efficiently each time a query includes geographic criteria. We propose a unified model for a formal representation of geographic information. This geographic model allows space features to be described independently of their representation mode (text, graphics) in the documents. We have developed a prototype implementing geographic Information Extraction (IE) and geographic Information Retrieval (IR) processes. We process geographic IE with semantic techniques combined to classic IE approaches. Then, we implement geographic IR with intersections researching algorithms: these algorithms search for all geocoded entities in the documents collections indexes which intersect any entity in the user's query. This paper focuses on IR and Visualization proposals relying on the geospatial characteristics of cultural heritage corpora.
Developing transliteration pattern of Latin character text document algorithm based on linguistics knowledge of writing Javanesse script

Latin text document can be transliterated to Javanesse character. The propose of this transliteration model is being able to used by all society and not only for Javanesse society. The using of communication and information technology to build Latin to Javanesse characters transliteration pattern model using linguistic computation. That will be transliterated is parsed or broke to get token list (sylabic). The Context Free Recursive Descent Parser method with specific production rule can be used in checking and breaking Latin string to produce right Javanesse pattern. From the testing it is seen that by using The Context-Free Recursive-Descent Parser algorithm, text document in Latin writing can be processed so that syllable split patterns can be produced correctly. Using Pattern Matching method, the produced syllable split patterns are processed into the process of converting syllable split patterns to be Javanesse character and the mapping of their writing scheme. Text document transliteration algorithm covers: production rules for splitting Latin string, list of Latin string split model, and production rules for transliteration split Latin string pattern to Javanesse character.
A Test for Correlation Stability during Hectic Financial Markets

It is a common belief, especially among financial professionals, that hectic periods in financial markets are accompanies by modifications in the risk factor dependence structure. We attempt to research into this matter, taking correlation as a proxy for measuring dependence and using for empirical study representative stock indices from Emerging Europe (Czech Republic, Hungary, Poland, Russia, Turkey) and their counterparts from established markets (developed Europe and North America). The results are contradicting the ”market knowledge”, as for almost all pairs, the correlation remains stable during volatile periods. JEL Classification: C12, C13, C32, C51, G15.
Autonomic Power Aware Cloud Resources Orchestration Architecture for Web Applications

Endless resources provisioning illusion is the mainstay for cloud computing paradigm. However, the unpredictable volatility nature involving web applications workload demand would highly hinder cloud computing platforms performance, furthermore, expose cloud resources for possible devastation. Accordingly, this work proposes autonomic power aware SLA-oriented cloud resources orchestration two-tier architecture. Despite complexity and uncertainties of the workload fluctuations, the proposed architecture geared for leveraging cloud system resources utilization, ensuring explicit guarantees on web applications’ responsiveness obligations, meanwhile achieving power consumption minimization objectives. The proposed architecture consolidates heuristic methodologies along with control theory approaches in a resource orchestration hierarchical structure. Firstly, an autonomic global controller is presented. The proposed global controller exploits heuristic methodology for mapping virtual machines (VMs) to the appreciate cloud resources in accordance to heuristic multidimensional objectives based placement strategy. Secondly, a proactive fuzzy-logic based local controller is proposed. The proposed local controller aimed at in confronting workloads' sustainable fluctuations via proactive amendment for the placement and provisioning schedules. Furthermore, the proposed local controller oriented towards maintaining active power management policy especially during transient peak of usage, thereby mitigating overall costs, and extending resources capacity and performance capabilities. Simulation results and comparisons demonstrate that the proposed architecture significantly surpasses previous approaches in terms of total energy consumption, furthermore maintaining web applications SLAs objectives despite dynamic workload scenarios.
Multi-contour initial pose estimation for 3D registration

Reliable manipulation of everyday household objects is essential to the success of service robots. In order to accurately manipulate these objects, robots need to know objects' full 6-DOF pose, which is challenging due to sensor noise, clutters and occlusions. In this paper, we present a new approach for effectively guessing the object pose given an observation of just a small patch of the object, by leveraging the fact that many household objects can only keep stable on a planar surface under a small set of poses. In particular, for each stable pose of an object, we slice the object with horizontal planes and extract multiple cross-section contours. The pose estimation is then reduced to find a stable pose whose contour matches best with that of the sensor data, and this can be solved efficiently by convolution. Experiments on the manipulation tasks in the DARPA Robotics Challenge validate our approach. In addition, we also investigate our method's performance on object recognition tasks raising in the challenge.
Efficient Maximum Sum-Rate Computation for Multiple Access Channels in CR Networks

achievable weighted sum-rate of the SUs, a tight pair of upper and lower bounds, as an interval, of the optimal Lagrange multiplier is proposed. It can avoid ineffectiveness or inefficiency when the dual decomposition is used. Therefore, not only is convergence of the proposed algorithm guaranteed, but efficient computation is also provided by the proposed algorithm.
Image Steganalysis Based on Wavelet Transformation

Techniques for information hiding have become increasingly more sophisticated and widespread. Steganalysis has recently received a great deal of attention both from law enforcement and the media. Attacks and analysis on hidden information may take several forms: detecting, extracting, and disabling or destroying hidden information. This paper provides wavelet based approach for image Steganalysis. The detection scheme of the system can be separated in two parts. In the first part, extraction a set of statistics, called the feature vector, for the investigated image. The second part, using a classification algorithm to separate original images from stego images by means of their feature vectors.
Experimental implementation of Doubly Fed Induction Generator based Standalone Wind Energy Conversion System

This paper presents an implementation of Doubly Fed Induction Generator (DFIG) based Standalone Wind Energy Conversion System (SWECS). Control algorithms of both Rotor Side Converter (RSC) and Load Side Converter (LSC) are presented for maintaining voltage and frequency for variable speed DFIG based SWECS. A prototype of this proposed DFIG based SWECS is developed using a DSP (Digital Signal Processor-dSPACE DS1103). This proposed DFIG is tested under nonlinear and dynamic loads. Dynamic performance of this proposed VFC is tested at unbalanced load, sudden change in loads and also for variable wind speeds.
Towards the Quality for Web 2 . 0 Applications

One of the steps to evaluate quality is to define first quality requirements, for instance, by means of models. In order to specify quality models for Web 2.0 applications we propose an integrated approach which considers quality dimensions for contents and functionalities. In particular, we discuss how to model the different quality views reusing and extending the ISO 9126-1 quality models taking into account not only the software characteristics but also the own features of Web applications. To illustrate the added Content quality characteristic to quality models, excerpts of two evaluations are shown. The resulting models contribute towards a multidimensional integrated approach to evaluate Web applications of different eras –both Web 1.0 and 2.0 ones-, and lifecycle stages.
Boosting output distributions in finite blocklength channel coding converse bounds

Point-to-point channel coding is studied in the finite blocklength regime. Many existing converse bounds involve an optimization over a distribution on the channel output. This paper provides a method for generating good, if not optimal, output distributions. In particular, given any candidate output distribution, a “boosting” procedure is given that constructs a new distribution which improves the converse bound derived from the divergence spectrum. For discrete memoryless channels, it is shown that using the i.i. d. capacity-achieving output distribution as an initial guess in this procedure results in an output distribution that is good enough to derive the third-order coding rate for most channels. The finite blocklengths bounds are then applied to the Z channel.
Enhancing wireless communications with software defined networking

In defence and emergency operations, integration between multiple wireless networks offers the choice of selecting the connection best suited to the type of information transferred, while at the same time expanding the coverage area in regions where only certain networks are available. Without effective command and control systems, response units at the operational edge, where critical real time information is generated and consumed, become “information islands”. Controlling network traffic at higher echelons, in order to make better use of the limited network bandwidth available, improves the situational picture at the control centre and competence of emergency response units on the field. Traffic prioritization, remote network control, and multiple radio integration are three important criteria we are considering in the design of a two-level hierarchical software defined networking architecture for wireless networks, which expand on other SDN properties such as network agility, scalability, and programmability. We have built a prototype with multiple radio interfaces that can provide backhaul for response units by selecting the interface with the highest available throughput, where both policies and configuration can be programmed remotely. Even if our primary use case is geared towards emergency services, military communications challenges share many of the characteristics of emergency operations.