LLukas22/scidocs huggingface dataset:
Spin transfer torque (STT)-MRAM-based runtime reconfiguration FPGA circuit

As the minimum fabrication technology of CMOS transistor shrink down to 90nm or below, the high standby power has become one of the major critical issues for the SRAM-based FPGA circuit due to the increasing leakage currents in the configuration memory. The integration of MRAM in FPGA instead of SRAM is one of the most promising solutions to overcome this issue, because its nonvolatility and high write/read speed allow to power down completely the logic blocks in “idle” states in the FPGA circuit. MRAM-based FPGA promises as well as some advanced reconfiguration methods such as runtime reconfiguration and multicontext configuration. However, the conventional MRAM technology based on field-induced magnetic switching (FIMS) writing approach consumes very high power, large circuit surface and produces high disturbance between memory cells. These drawbacks prevent FIMS-MRAM's further development in memory and logic circuit. Spin transfer torque (STT)-based MRAM is then evaluated to address these issues, some design techniques and novel computing architecture for FPGA logic circuits based on STT-MRAM technology are presented in this article. By using STMicroelectronics CMOS 90nm technology and a STT-MTJ spice model, some chip characteristic results as the programming latency and power have been calculated and simulated to demonstrate the expected performance of STT-MRAM based FPGA logic circuits.
The Evolution of Learning : An Experiment in Genetic Connectionism

This paper explores how an evolutionary process can produce systems that learn. A general framework for the evolution of learning is outlined, and is applied to the task of evolving mechanisms suitable for supervised learning in single-layer neural networks. Dynamic properties of a network’s information-processing capacity are encoded genetically, and these properties are subjected to selective pressure based on their success in producing adaptive behavior in diverse environments. As a result of selection and genetic recombination, various successful learning mechanisms evolve, including the well-known delta rule. The effect of environmental diversity on the evolution of learning is investigated, and the role of different kinds of emergent phenomena in genetic and connectionist systems is discussed. In D. S. Touretzky, J. L. Elman, T. J. Sejnowski & G. E. Hinton (eds.), Proceedings of the 1990 Connectionist Models Summer School. San Mateo, CA: Morgan Kaufmann.
Full-automatic recognition of various parking slot markings using a hierarchical tree structure

Ho Gi Jung Hanyang University Department of Automotive Engineering 222 Wangsimni-ro, Seongdong-gu Seoul 133-791, Republic of Korea E-mail: hogijung@hanyang.ac.kr Abstract. A full-automatic method for recognizing parking slot markings is proposed. The proposed method recognizes various types of parking slot markings by modeling them as a hierarchical tree structure. This method mainly consists of two processes: bottom-up and top-down. First, the bottom-up process climbs up the hierarchical tree structure to excessively generate parking slot candidates so as not to lose the correct slots. This process includes corner detection, junction and slot generation, and type selection procedures. After that, the top-down process confirms the final parking slots by eliminating falsely generated slots, junctions, and corners based on the properties of the parking slot marking type by climbing down the hierarchical tree structure. The proposed method was evaluated in 608 real-world parking situations encompassing a variety of different parking slot markings. The experimental result reveals that the proposed method outperforms the previous semiautomatic method while requiring a small amount of computational costs even though it is fully automatic. © 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.OE.52.3.037203]
An Evolutionary Algorithm Approach for Dedicated Path Protection Problem in Elastic Optical Networks

Elastic Optical Network (EON) architectures are a very promising solution for next generation optical networks. In EON, a basic problem in network design and operation is the problem of Routing and Spectrum Allocation (RSA). In this work, we focus on RSA in a survivable EON with Dedicated Path Protection (DPP) consideration. Since RSA is a difficult problem itself, we develop an evolutionary algorithm (EA) with the aim to support the search for optimal solutions. We investigate the effectiveness of algorithm for a set of survivable network scenarios. Evaluation results show that the proposed algorithm outperforms reference algorithms from the literature. 1
VM consolidation: A real case based on OpenStack Cloud

In recent years, Cloud computing has been emerging as the next big revolution in both computer networks andWeb provisioning. Because of raised expectations, several vendors, such as Amazon and IBM, started designing, developing, and deploying Cloud solutions to optimize the usage of their own data centers, and some open-source solutions are also underway, such as Eucalyptus and OpenStack. Cloud architectures exploit virtualization techniques to provisionmultiple Virtual Machines (VMs) on the same physical host, so as to efficiently use available resources, for instance, to consolidate VMs in the minimal number of physical servers to reduce the runtime power consumption. VM consolidation has to carefully consider the aggregated resource consumption of co-located VMs, in order to avoid performance reductions and Service Level Agreement (SLA) violations.While various works have already treated the VM consolidation problem from a theoretical perspective, this paper focuses on it from a more practical viewpoint, with specific attention on the consolidation aspects related to power, CPU, and networking resource sharing. Moreover, the paper proposes a Cloud management platform to optimize VM consolidation along three main dimensions, namely power consumption, host resources, and networking. Reported experimental results point out that interferences between co-located VMs have to be carefully considered to avoid placement solutions that, although being feasible from a more theoretical viewpoint, cannot ensure VM provisioning with SLA guarantees. © 2012 Elsevier B.V. All rights reserved.
Review of family-based psychosocial interventions for childhood cancer.

OBJECTIVE
To report the findings of a systematic review of family-based psychosocial interventions with pediatric oncology populations.


METHODS
A number of intervention studies documenting psychosocial interventions for childhood cancer populations, that incorporated multiple family members, were examined.


RESULTS
Twenty-one studies were identified that met the criteria for inclusion and provided the data necessary for synthesizing the results. Findings illustrate that multiple family members are integrated into interventions for childhood cancer in a number of ways. Considerable variation was observed regarding the family member combinations targeted and the intervention modalities employed. A minority of interventions met the criteria for empirically validated treatments; however, evidence of beneficial outcomes was observed across the majority of interventions reviewed.


CONCLUSIONS
Findings suggest the feasibility, acceptability, and potential effectiveness of family-based psychosocial interventions in pediatric oncology. Recommendations for conducting future intervention studies are provided including the integration of qualitative methods in evaluations of family-based interventions.
Telomere dysfunction and chromosome instability.

The ends of chromosomes are composed of a short repeat sequence and associated proteins that together form a cap, called a telomere, that keeps the ends from appearing as double-strand breaks (DSBs) and prevents chromosome fusion. The loss of telomeric repeat sequences or deficiencies in telomeric proteins can result in chromosome fusion and lead to chromosome instability. The similarity between chromosome rearrangements resulting from telomere loss and those found in cancer cells implicates telomere loss as an important mechanism for the chromosome instability contributing to human cancer. Telomere loss in cancer cells can occur through gradual shortening due to insufficient telomerase, the protein that maintains telomeres. However, cancer cells often have a high rate of spontaneous telomere loss despite the expression of telomerase, which has been proposed to result from a combination of oncogene-mediated replication stress and a deficiency in DSB repair in telomeric regions. Chromosome fusion in mammalian cells primarily involves nonhomologous end joining (NHEJ), which is the major form of DSB repair. Chromosome fusion initiates chromosome instability involving breakage-fusion-bridge (B/F/B) cycles, in which dicentric chromosomes form bridges and break as the cell attempts to divide, repeating the process in subsequent cell cycles. Fusion between sister chromatids results in large inverted repeats on the end of the chromosome, which amplify further following additional B/F/B cycles. B/F/B cycles continue until the chromosome acquires a new telomere, most often by translocation of the end of another chromosome. The instability is not confined to a chromosome that loses its telomere, because the instability is transferred to the chromosome donating a translocation. Moreover, the amplified regions are unstable and form extrachromosomal DNA that can reintegrate at new locations. Knowledge concerning the factors promoting telomere loss and its consequences is therefore important for understanding chromosome instability in human cancer.
A comparison of direct and model-based reinforcement learning

This paper compares direct reinforcement learning (no explicit model) and model-based reinforcement learning on a simple task: pendulum swing up. We nd that in this task model-based approaches support reinforcement learning from smaller amounts of training data and eecient handling of changing goals.
New trends in e-business: From B2B to Web Services

Today the terme-business is often used for describing attempts of using Internet for improving business efficiencies and introducing innovative new business models. Until recently, the major focus of e-business has been around replacing the traditional communication means such as telephone and fax by Internet-based electronic data interchange. The introduction of new standards such as XML (Extensible Markup Language), SOAP (Simple Object Access Protocol), and UDDI (Universal Description, Discovery, and Integration) opened new opportunities for dynamically integrating business processes across corporate boundaries on demand. This architecture is calledWeb Services, and being pursued by major software vendors such as IBM and Microsoft. Web Services can also be considered as a new component-based, distributed computing architecture. This paper discusses the background of this new trend and explains the individual technologies including XML, SOAP, and UDDI that comprise the basis of Web Services.
Economic Shocks and Civil War

This article revisits the relationship between income per capita and civil conict. We establish that the empirical literature identies two di¤erent patterns. First, poor countries have a higher propensity to su¤er from civil war. Second, civil war occurs when countries su¤er negative income shocks. In a formal model we examine an explanation often suggested in the informal literature: civil wars occur in poor countries because the opportunity cost of ghting is small. We show that while this explanation fails to make sense of the rst empirical pattern, it provides a coherent theoretical basis for the second. We then enrich the model to allow for private imperfect information about the state of the economy and show that mutual fears exacerbate the problem caused by negative income shocks. Previous versions of this paper were presented at the Political Science Departments of MIT, Harvard, Princeton, Columbia, UC Berkeley and Washington University as well as conict conferences at Northwestern University and NYU. We are thankful for all the comments received and for helpful conversations with Edward Miguel and Robert Powell. All remaining errors are, of course, our own. yWoodrow Wilson School of Public and International A¤airs and Department of Economics. Chassang@princeton.edu zSTICERD and Department of Economics. G.padro@lse.ac.uk
Monitoring sentiment in open source mailing lists: exploratory study on the apache ecosystem

Large software projects, both open and closed source, are constructed and maintained collaboratively by teams of developers and testers, who are typically geographically dispersed. This dispersion creates a distance between team members, hiding feelings of distress or (un)happiness from their manager, which prevents him or her from using remediation techniques for those feelings. This paper evaluates the usage of automatic sentiment analysis to identify distress or happiness in a development team. Since mailing lists are one of the most popular media for discussion in distributed software projects, we extracted sentiment values of the user and developer mailing lists of two of the most successful and mature projects of the Apache software foundation. The results show that (1) user and developer mailing lists carry both positive and negative sentiment and have a slightly different focus, while (2) work is needed to customize automatic sentiment analysis techniques to the domain of software engineering, since they lack precision when facing technical terms Keywords—Empirical Software Engineering, Sentiment Analysis, Mining Software Repositories, Mailing List Data
The Risk and Value Engineering Structures and their Integration with Industrial Projects Management (A Case Study on I. K.Corporation)

Value engineering is an efficacious contraption for administrators to make up their minds. Value perusals proffer the gaffers a suitable instrument to decrease the expenditures of the life span, quality amelioration, structural improvement, curtailment of the construction schedule, longevity prolongation or a merging of the aforementioned cases. Subjecting organizers to pressures on one hand and their accountability towards their pertinent fields together with inherent risks and ambiguities of other options on the other hand set some comptrollers in a dilemma utilization of risk management and the value engineering in projects manipulation with regard to complexities of implementing projects can be wielded as a contraption to identify and efface each item which wreaks unnecessary expenses and time squandering sans inflicting any damages upon the essential project applications. Of course It should be noted that implementation of risk management and value engineering with regard to the betterment of efficiency and functions may lead to the project implementation timing elongation. Here time revamping does not refer to time diminishing in the whole cases. his article deals with risk and value engineering conceptualizations at first. The germane reverberations effectuated due to its execution in Iran Khodro Corporation are regarded together with the joint features and amalgamation of the aforesaid entia; hence the proposed blueprint is submitted to be taken advantage of in engineering and industrial projects including Iran Khodro Corporation. Keywords—Management, risk engineering, value engineering, project manipulation, Iran Khodro.
SimSensei Demonstration: A Perceptive Virtual Human Interviewer for Healthcare Applications

We present the SimSensei system, a fully automatic virtual agent that conducts interviews to assess indicators of psychological distress. We emphasize on the perception part of the system, a multimodal framework which captures and analyzes user state for both behavioral understanding and interactional purposes.
Plans and situated actions - the problem of human-machine communication

This thesis considers two alternative views of purposeful action and shared understanding. The first, adopted by researchers in Cognitive Science, views the organization and significance of action as derived from plans, which are prerequisite to and prescribe action at whatever level of detail one might imagine. Mutual intelligibility on this view is a matter of the recognizability of plans, due to common conventions for the expression of intent, and common knowledge about typical situations and appropriate actions. The second view, drawn from recent work in social science, treats plans as derivative from situated action. Situated action as such comprises necessarily ad hoc responses to the actions of others and to the contingencies of particular situations. Rather than depend upon the reliable recognition of intent, successful interaction consists in the collaborative production of intelligibility through mutual access to situation resources, and through the detection, repair or exploitation of differences in understanding. As common sense formulations designed to accomodate the unforseeable contingences of situated action, plans are inherently vague. Researchers interested in machine intelligence attempt to remedy the vagueness of plans, to make them the basis for artifacts intended to embody intelligent behavior, including the ability to interact with their human users. The idea that computational artifacts might interact with their users is supported by their reactive, linguistic, and internally opaque properties. Those properties suggest the possibility that computers might 'explain themselves: thereby providing a solution to the problem of conveying the designer's purposes to the user, and a means of establishing the intelligence of the artifact itself. I examine the problem of human-machine communication through a case study of people using a machine designed on the planning model, and intended to be intelligent and interactive~ A conversation analysis of "interactions" between users and the machine reveals that the machine's insensitivity to particular circumstances is a central design resource, and a fundamental limitation. I conclude that problems in Cognitive Science's theorizing about purposeful action as a basis for machine intelligence are due to the project of substituting plans for actions, and representations of the situation of action, for action's actual circumstances. XEROX PARe. ISL-6. FEBRLARY 1985
A phase II trial of CI-958 in patients with hormone-refractory prostate cancer

Purpose: To assess the antitumor activity of the benzothiopyranoindazole CI-958 {5-[(2-aminomethyl)amino]-2-[2-(diethylamino)ethyl]-2H-[l]benzothi- opyrano[4,3,2-cd]-indazol-8-ol trihydrochloride} in hormone-resistant prostate carcinoma, using an intravenous dose of 700 mg/m2 every 3 weeks. Patients and methods: Patients eligible for this study had advanced prostate carcinoma that had failed hormonal treatment. Changes in an initially elevated prostate-specific antigen (PSA) level and regression of objectively measurable disease were used as response criteria. Results: All 33 patients enrolled were evaluated. Of 30 with elevated PSA levels, 6 had a >50% decline maintained for >30 days; response durations ranged from 105 to 623 days. Eleven patients had objectively measurable disease; two had partial responses (lasting 316 and 461 days) consisting of shrinkage of retroperitoneal nodes and of masses surrounding the rectum and bladder. The survival of all responding patients ranged from 366 days to 709 days and the median survival of all patients was 12 months (range 1–23 + months). Neutropenia was common, but thrombocytopenia was not. Nonhematologic side effects included nausea, vomiting, anorexia, asthenia, and chills, but were usually mild. The drug caused phlebitis when given into peripheral veins and central venous administration is recommended. No consistent reductions in cardiac function were documented by sequential assessment of left ventricular ejection fractions. Conclusions: CI-958 has modest but definite antitumor activity in hormone-resistant prostate carcinoma. Its toxicities include neutropenia, nausea, vomiting, anorexia, asthenia, chills and phlebitis.
User preferences discovery using fuzzy models

User preferences discovery aims to learn the patterns of user preferences for various services or items such as movies. Preferences discovery is essential to the development of intelligent personalization applications. Based on decision and utility theories, traditional approaches to preferences discovery explicitly query users about the behavior of value function, or utility of every outcome with respect to each decision criterion. Consequently, these approaches are generally error-prone and labor intensive. Although implicit elicitation approaches have been proposed to address the above limitations, extent approaches largely ignore multi-valued nature of item features and uncertainty associated with item features and user preferences. To address uncertainty due to vagueness and imprecision, this research proposed a general framework for preferences discovery based on fuzzy set theories. In addition, new fuzzy models were created for preferences discovery and representation. Further, an algorithm was developed to predict user preferences with uncertainty, and visualization of item features, user feedback, and the discovered preferences helped improve the interpretation of the discovered knowledge. The results of the simulation evaluation using a benchmark movie dataset revealed that the proposed preference discovery method: (1) doubled the accuracy of preference discovery as compared to random prediction; and (2) outperformed conventional techniques in making movie recommendation. These findings suggest that fuzzy models are effective for preferences patterns discovery, and personalized recommendation application. Published by Elsevier B.V.
Evaluating the Multifactor Structure of the Long and Short Versions of the Self-Compassion Scale in a Clinical Sample.

OBJECTIVE
There has been a growing interest in the concept of self-compassion in Eastern psychology. The aim of the present study was to explore the dimensionality of the widely used Self-Compassion Scale (SCS; long and short versions) in both clinical and nonclinical samples


METHOD
Several confirmatory factor analyses (CFAs) were computed in a mixed clinical (n = 316) and a nonclinical sample (n = 1128) from the Portuguese population. Also, differences were tested between the groups in the SCS 6 factors.


RESULTS
The CFA supported both a 6-factor model and a hierarchical model in both samples. The SCS also showed good psychometric properties, with good internal consistency, test-retest reliability, and convergent validity. Our study further suggests that individuals with several psychopathological disorders showed significantly lower self-compassionate abilities.


CONCLUSIONS
The SCS (long and short versions) is thus a reliable instrument to assess self-compassion and is useful for research and, in particular, clinical practice.
A study of colour field distributions in the baryon

Abstract The distributions of chromo-electric and chromo-magnetic field associated with flux tubes in the baryon are studied in SU(3) lattice QCD. Maximal Abelian projection is used to reduce the statistical fluctuations. For a fixed source geometry, many different string configurations are possible. We investigated whether the string configuration, that is the choice of operator, biases the observed flux distribution.