Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Transformation of Legacy Systems

The transformation of system applications code and database at automation levels exceeding 99 percent is now a viable approach to legacy information system modernization. The benefit of the approach is migrating the legacy system to a modern computing environment while preserving the repository of business knowledge and processes imbedded in the legacy system. D uring the last 50 years, information processing systems have become the intellectual repositories for most business and government organizations. Today these organizations face the complex and costly problem of how best to restructure the installed base of outdated information processing resources while maintaining their legacy intellectual property. This legacy intellectual property continues to provide value as organizations are forced to innovate to survive in the fast-paced age of e-business , e-communication, e-organizations, and in the case of the military, e-warfare. The need to modernize legacy systems is primarily driven by three factors: expansion of the system's functionality; improved maintainability of the system using modern tools and techniques; and reduction of operational costs and improved reliability by replacing obsolete hardware suites with high-speed, open-architecture systems. Alternative solutions for modernization of the system include developing a new system, system replacement with a commercial off-the-shelf (COTS) solution, or manual rewriting of the legacy applications software and databases to operate within a modern computing environment. Developing a totally new system or replacing legacy systems by manually rewriting the system's software with the support of semi-automated tools is extremely costly and time consuming. Replacing the system using COTS technologies , while less costly and timelier, usually requires extensive and expensive customization to provide functionality not provided by the COTS product. In addition , the Gartner Group has shown that the success rate for information system modernization projects using these traditional solutions has thus far been approximately 7 percent; it is a success rate that has not bred confidence within the information technology (IT) community. Manual approaches have been prone to failure due to inconsistency, cost overruns, and schedule delays. COTS solutions have fallen short of expectations because of their inability to provide the customer with the functionality needed to meet its specific organizational goals. And semi-automated tool-based solutions, while relatively promising, have not provided a sufficient level of automation to overcome the drawbacks associated with manual intervention required to address untrans-formed code. Looking more closely at the automated transformation approach, it becomes evident that using available tools capable of transforming 60 …
, Ranit Aharonov , Yaakov Engel , Binyamin of the Octopus Reaching Movement Dynamic Model of the Octopus Arm

[PDF] [Full Text] , November 1, 2005; 208 (21): iv. J Exp Biol Laura Blackburn AGILE ANIMALS [PDF] [Full Text] [Abstract] , October 1, 2006; 209 (19): 3697-3707. J Exp Biol Christine L. Huffard between primary and secondary defenses (Cephalopoda: Octopodidae): walking the line Abdopus aculeatus Locomotion by [PDF] [Full Text] [Abstract] , September 1, 2007; 98 (3): 1775-1790. J Neurophysiol Yoram Yekutieli, Rea Mitelman, Binyamin Hochner and Tamar Flash Analyzing Octopus Movements Using Three-Dimensional Reconstruction [PDF] [Full Text] [Abstract] , December 1, 2007; 210 (23): 4069-4082. J Exp Biol Richard J. Gilbert, Vitaly J. Napadow, Terry A. Gaige and Van J. Wedeen Anatomical basis of lingual hydrostatic deformation [PDF] [Full Text] [Abstract] , November , 2010; 109 (5): 1500-1514. J Appl Physiol Richard J. Gilbert Srboljub M. Mijailovich, Boban Stojanovic, Milos Kojic, Alvin Liang, Van J. Wedeen and mechanics of mesoscale myofiber tracts obtained by MRI Derivation of a finite-element model of lingual deformation during swallowing from the
A Population based Study on Alcoholism among Adult Males in a Rural Area , Tamil Nadu , India Keywords : Alcoholism , Awareness , Quality of life

IntrOductIOn India’s reputation as a country with a culture of abstinence especially in matters regarding alcohol is underserved. In the recent years there has been rapid proliferation of city bars and nightclubs and people are fast shedding their inhibitions about alcohol as a lifestyle choice. This has led to fears of an undocumented rise in alcohol abuse not only among poorer classes but also in other sections of the society. Having recognized the problem, the ministry of health has called for a policy that will regulate sales and the pricing of alcohol which many experts believe, may not be enough to curb the problem. The increasing use of alcohol and its drink-related problems has already emerged as a major public health concern in India and which needs to be addressed.
Wood Species Recognition System

The proposed system identifies the species of the wood using the textural features present in its barks. Each species of a wood has its own unique patterns in its bark, which enabled the proposed system to identify it accurately. Automatic wood recognition system has not yet been well established mainly due to lack of research in this area and the difficulty in obtaining the wood database. In our work, a wood recognition system has been designed based on pre-processing techniques, feature extraction and by correlating the features of those wood species for their classification. Texture classification is a problem that has been studied and tested using different methods due to its valuable usage in various pattern recognition problems, such as wood recognition, rock classification. The most popular technique used for the textural classification is Gray-level Co-occurrence Matrices (GLCM). The features from the enhanced images are thus extracted using the GLCM is correlated, which determines the classification between the various wood species. The result thus obtained shows a high rate of recognition accuracy proving that the techniques used in suitable to be implemented for commercial purposes. Keywords—Correlation, Grey Level Co-Occurrence Matrix, Probability Density Function, Wood Recognition.
Chlorination of Indicator Bacteria and Viruses in Primary Sewage Effluent

ABSTRACT Wastewater disinfection is used in many countries for reducing fecal coliform levels in effluents. Disinfection is therefore frequently used to improve recreational bathing waters which do not comply with microbiological standards. It is unknown whether human enteric viruses (which are responsible for waterborne disease) are simultaneously inactivated alongside fecal coliforms. This laboratory study focused on the chlorination of primary treated effluent with three doses (8, 16, and 30 mg/liter) of free chlorine as sodium hypochlorite. Seeding experiments showed that inactivation (>5 log10 units) of Escherichia coli and Enterococcus faecalis was rapid and complete but that there was poor inactivation (0.2 to 1.0 log10 unit) of F+-specific RNA (FRNA) bacteriophage (MS2) (a potential virus indicator) at all three doses. However, seeded poliovirus was significantly more susceptible (2.8 log10 units) to inactivation by chlorine than was the FRNA bacteriophage. To ensure that these results were not artifacts of the seeding process, comparisons were made between inactivation rates of laboratory-seeded organisms in sterilized sewage and inactivation rates of organisms occurring naturally in sewage. Multifactorial analysis of variance showed that there was no significant difference (P > 0.05) between the inactivation rates for seeded and naturally occurring FRNA bacteriophage. However, laboratory-grown poliovirus was inactivated much more rapidly than were naturally occurring, indigenous enteroviruses (P < 0.001). This may reflect differences in the way indigenous virus is presented to the disinfectant. Inactivation rates for indigenous enteroviruses were quite similar to those seen for FRNA bacteriophage at lower doses of chlorine. These results have significance for the effectiveness of chlorination as a sewage treatment process, particularly where virus contamination is of concern, and suggest that FRNA bacteriophage would be an appropriate indicator of such viral inactivation under field conditions.
The Role of Task-Related Learned Representations in Explaining Asymmetries in Task Switching

Task switch costs often show an asymmetry, with switch costs being larger when switching from a difficult task to an easier task. This asymmetry has been explained by difficult tasks being represented more strongly and consequently requiring more inhibition prior to switching to the easier task. The present study shows that switch cost asymmetries observed in arithmetic tasks (addition vs. subtraction) do not depend on task difficulty: Switch costs of similar magnitudes were obtained when participants were presented with unsolvable pseudo-equations that did not differ in task difficulty. Further experiments showed that neither task switch costs nor switch cost asymmetries were due to perceptual factors (e.g., perceptual priming effects). These findings suggest that asymmetrical switch costs can be brought about by the association of some tasks with greater difficulty than others. Moreover, the finding that asymmetrical switch costs were observed (1) in the absence of a task switch proper and (2) without differences in task difficulty, suggests that present theories of task switch costs and switch cost asymmetries are in important ways incomplete and need to be modified.
Timekeeping in VMware Virtual Machines

Because virtual machines work by time‐sharing host physical hardware, a virtual machine cannot exactly duplicate the timing behavior of a physical machine. VMware virtual machines use several techniques to minimize and conceal differences in timing behavior, but the differences can still sometimes cause timekeeping inaccuracies and other problems in software running in a virtual machine. This information guide describes how timekeeping hardware works in physical machines, how typical guest operating systems use this hardware to keep time, and how VMware products virtualize the hardware. This paper is intended for partners, resellers, and advanced system administrators who are deploying VMware products and need a deep understanding of the issues that arise in keeping accurate time in virtual machines. The VMware knowledge base contains additional and more frequently updated information, including best practices to configure specific guest operating system versions for the most accurate timekeeping, as well as recipes for diagnosing and working around known issues in specific versions of VMware products. This document includes the following topics: “Timekeeping Basics” on page 1 “Time and Frequency Units” on page 4 “PC Timer Hardware” on page 4 “VMware Timer Virtualization” on page 6 “Timekeeping in Specific Operating Systems” on page 10 “Synchronizing Virtual Machines and Hosts with Real Time” on page 14 “Time and Performance Measurements Within a Virtual Machine” on page 18 “Resource Pressure” on page 21 “Troubleshooting” on page 22 “Resources” on page 26
A Contraint Logic Programming Scheme for Taxonomic Reasoning

This paper presents a novel scheme for constraint logic programming, based on an abstract model of constraints that takes as primitive the notions of atomic constraint and substitution. It is shown that the constraint model generalizes the constraint languages of Höhfeld and Smolka [8], and fits well in the general framework proposed by Saraswat [17]. The semantics of the proposed logic programming scheme is an immediate generalization of the semantics of Horn clause logic, and we show that it possesses simple characterizations of the operational, declarative and fixed-point semantics. The main motivation for this work was to formalize the notion of useful and concise answers to queries to hierarchic type systems. The paper ends with a simple example illustrating this application.
“I Just Started Writing”

Many Black male students in our nation’s schools feel like teachers do not see them for who they are or who they hope to become. In an academic enrichment writing course, high-achieving Black male secondary students utilized metaphor to imagine new realities for themselves. This article examines a Black male student’s narrative writing to capture how he made meaning of his own writing across academic settings as he transitioned from high school to college. The author argues metaphor functioned as a powerful catalyst for understanding how he constructed, embodied, and negotiated his racialized and gendered schooling experiences. In doing so, the author offers metaphor as an important entry point, theoretical framework, and pedagogical tool to promote substantial writing experiences for Black male students in academic spaces. This empirical research is intentional in honoring student voice—a perspective often void in research, yet invaluable in preparing teachers to work more effectively with this population.
Social Policy Report Children , Families and Poverty Definitions , Trends , Emerging Science and Implications for Policy

N ow, more than ever, it is crucial to address the topic of children and poverty in the U.S., given current scientific knowledge about poverty’s influence on children and ef fective strategies to mitigate its negative impact. In this report, we summarize the best available information on definitions and trends in child poverty, policy responses to child poverty and the impact of poverty on children’s health and development. Research suggests that various factors exert upward and downward pressure on child poverty rates. Upward pressure is exerted by declining work rates for men, stagnant wages for low-wage workers, increasing rates of children raised in female-headed households, and growing gaps in educational attainment. Downward pressure is exerted by the U.S. system of antipoverty policies and programs, which appears to be cutting “pre-transfer” poverty rates by more than 50%. Nonetheless, child poverty rates in the United States are high by both historical and international comparison. We then review the emerging science on biological and ecological processes by which poverty af fects child development and key findings regarding the ef ficacy of comprehensive strategies to reduce poverty and to promote the human capital development of poor children. In the final section, we reflect on implications for moving forward in science and policy.
Improving offline and online web search evaluation by modelling the user behaviour

Measurements are fundamental to any empirical science and, similarly, search evaluation is a vital part of information retrieval (IR). Evaluation ensures the progressive development of approaches, tools, and methods studied in this field. Apart from the scientific perspective, the evaluation approaches are also important from the practical perspective. Indeed, the evaluation experiments enable commercial search engines to make data-driven decisions while developing new features and working on the quality of the user experience. Thus, it is not surprising that evaluation has gained a huge attention from the research community and such an interest spans almost fifty years of research [3]. The Cranfield experiments [3] evolved into the widely used offline system evaluation approach. Despite its convenience and popularity, the offline evaluation approach has several limitations [8]. These limitations resulted in the development and recent growth in popularity of the online user-based evaluation approaches such as interleaving and A/B testing.
The effect of tetanic stimulation on functional connectivity

It is generally believed that cognitive processes like learning and memory highly depend on synaptic connections between neurons. These synaptic connections are plastic, meaning that connections between neurons are continuously altered, new connections are formed and others disappear. The communication between neurons takes place at the synapse, at this synapse the membranes of neurons approach each other closely and are able to communicate with each other using either an electrical current or by the release of neurotransmitters. In Figure 1 a post-synaptic neuron, a pre- synaptic neuron and two synapses are shown. The pre- and postsynaptic neuron are connected through a synapse, this synapse affects the membrane potential of the postsynaptic cell. In this project however we are interested in global connectivity changes of a network of neurons caused by tetanic stimulation. A popular method to study cellular and network properties in-vitro is by using cultured neuronal networks. Electrical activity of these cultured neural networks can be measured using a multi electrode array (MEA). Studying these electrical signals provides us a way to study processes, similar to those occurring in our cortex. The MEA’s used in this project contained 60 electrodes (8 by 8 grid, without corner electrodes). These electrodes can both be used for measuring AP’s of nearby neurons and for stimulation of these neurons. Dimensions of these electrodes are small enough (10μm-30μm) for measuring single cell AP’s. Measurement of these AP’s can be used to determine relationships between electrode pairs, therefore providing a way to study connectivity of a network. This kind of network connectivity is called functional connectivity. Functional connectivity describes the behavioral relation between electrodes and neurons at these electrodes. Although functional relations between measured neurons are known, nothing can be said about the actual anatomical connection between those neurons. These may consist of multiple pathways between neurons, some examples are shown in Figure 4. These examples suggest a relation between synaptic connectivity and functional connectivity. Recent studies suggest that functional connectivity is directly related to synaptic connectivity. Thus changes in synaptic connections should lead to changes in functional relationships between the recorded neurons.
Radio-frequency-based determination of arcing duration in HVAC circuit breakers

SUMMARY The arcing duration of a switching operation is a critical input parameter in condition-based switchgear monitoring algorithms. In this paper we propose a new non-intrusive method that directly measures the duration of the electrical arc discharge during current interruption in switchgear. The method relies on coupling of the VHF electric fields generated by the arc. The required hardware used for the measurement is simple and inexpensive, making the proposed methodology potentially commercially viable for application in monitoring systems. One significant complication of the measurement is the interference of co-existing arc signals in three-phase switchgear. We discuss this interference problem and show that a simple strategy based on shielding between phases may give satisfying results in the application to metal-enclosed three-phase switchgear.
PCCA: a program for phylogenetic canonical correlation analysis

UNLABELLED PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel's lambda, which can then be used in the phylogenetic transformation. AVAILABILITY PCCA is distributed as DOS/Windows, Mac OS X and Linux/Unix executables with a detailed program manual and is freely available on the World Wide Web at: http://anolis.oeb. harvard.edu/~liam/programs/.
The Blind Men and the Elephant: Piecing Together Hadoop for Diagnosis

Google’s MapReduce framework enables distributed, data-intensive, parallel applications by decomposing a massive job into smaller (Map and Reduce) tasks and a massive data-set into smaller partitions, such that each task processes a different partition in parallel. However, performance problems in a distributed MapReduce system can be hard to diagnose and to localize to a specific node or a set of nodes. On the other hand, the structure of large number of nodes performing similar tasks naturally affords us opportunities for observing the system from multiple viewpoints. We present a “Blind Men and the Elephant” (BliMeE) framework in which we exploit this structure, and demonstrate how problems in a MapReduce system can be diagnose by corroborating the multiple viewpoints. More specifically, we present algorithms within the BliMeE framework based on OSlevel performance counters, on white-box metrics extracted from logs, and on application-level heartbeats. We show that our BliMeE algorithms are able to capture a variety of faults including resource hogs and application hangs, and to localize the fault to subsets of slave nodes in the MapReduce system. In addition, we discuss how the diagnostic algorithms’ outcomes can be further synthesized in a repeated application of the BliMeE approach. We present a simple supervised learning technique which allows us to identify a fault if it has been previously observed.
Using Implementation Intentions in Shopping Situations: How Arousal Can Help Shield Consumers Against Temptation

Summary Previous research has suggested that individuals who repeatedly experience self-regulatory failure in purchasing behaviour have trouble shielding themselves against temptations. Because shopping is often accompanied by increased arousal, we examined whether attending to affective arousal could help people keep their attention focused. Before participants completed a visual distraction task embedded in a shopping context, we (i) instructed them to formulate an implementation intention with affective arousal as the eliciting cue and concentrating on the task as the intention; (ii) instructed them to formulate the goal intention of concentrating on the task without mentioning an eliciting cue; or (iii) gave them no further instructions. During the task, we recorded eye movements to measure the time they looked at the target products. The findings suggest that implementation intentions with affective arousal as an eliciting cue enable consumers who repeatedly perceive self-regulatory failure to focus their attention on their initial shopping goal. Copyright © 2016 John Wiley & Sons, Ltd.
Interactive Mouse Stream as Real-Time Indicator of User's Cognitive Load

User interaction and multimodal behavior have been argued as viable indicators of cognitive load. We extend this idea by exploring interactive mouse data stream and implementing sliding windows technique to detect cognitive load variation in real-time. This work-in-progress reports successful load change detections resulting from applying our unique algorithm to data streams of mouse interactivity features from twenty seven subjects. Unique contribution here includes learning from mouse interactive stream and a sliding window technique for cognitive load detection in real-time. This technique is currently being enhanced to process learning from multimodal user interaction streams.