Miracle-dz/UniFAR-FTUs huggingface dataset:
Commentary: towards a definite coherent heterogeneity in meta-analyses.

‘Meta-analysis’, coined by Gene Glass in 1976, is the ‘analysis of analyses’, denoting a systematic approach to summarizing the available peer-reviewed literature using statistical techniques.1 Most readers view a meta-analysis as a definitive summary of the state of the evidence, and meta-analyses have become an essential element in evidence-based decision making. Because meta-analysis involves a quantitative summary of the published data, it is sometimes interpreted as less biased and more objective than qualitative reviews of the literature or even individual studies. Over the past two decades the use of systematic reviews has exploded, with over 4000 published on human data in 2013 alone (as inventoried by PubMed).
Stop looking angry and smile, please: start and stop of the very same facial expression differentially activate threat- and reward-related brain networks

Static pictures of emotional facial expressions have been found to activate brain structures involved in the processing of emotional stimuli. However, in everyday live, emotional expressions are changing rapidly, and the processing of the onset vs the offset of the very same emotional expression might rely on different brain networks, presumably leading to different behavioral and physiological reactions (e.g. approach or avoidance). Using functional magnetic resonance imaging, this was examined by presenting video clips depicting onsets and offsets of happy and angry facial expressions. Subjective valence and threat ratings clearly depended on the direction of change. Blood oxygen level dependent responses indicate both reward- and threat-related activations for the offset of angry expressions. Comparing onsets and offsets, angry offsets were associated with stronger ventral striatum activation than angry onsets. Additionally, the offset of happy and the onset of angry expressions showed strong common activity in the lateral orbitofrontal cortex bilaterally, the left amygdala and the left insula, whereas the onset of happy and the offset of angry expressions induced significant activation in the left dorsal striatum. In sum, the results confirm different activity in motivation-related brain areas in response to the onset and offset of the same emotional expression and highlight the importance of temporal characteristics of facial expressions for social communication.
ECBL: an extended corner block list with solution space including optimum placement

A Non-Slicing floorplanning algorithm based on CBL[1], corner block list, was presented recently. It can represent non-slicing floorplans without empty rooms. In this paper, we propose an extended corner block list structure, ECBLl, to represent general non-slicing floorplans, which may include empty rooms. By setting l×[1.3], where l is the extending ratio, our algorithm can translate a topological floorplan to its corresponding placement in O(n) time, where n is the number of blocks. Also, based on the optimum solution theorem of bounded-sliceline grid in [2], we proved that the solution space of ECBLn contains the optimum block placement, which has the minimum area. Experimental results on MCNC benchmarks show promising performance with 7% improvement in wire length and 2% decrease in dead space over algorithms based on CBL. Meanwhile, compared with other algorithms, our algorithm can get better results with less runtime.
Real-time Support Vector Machine based Network Intrusion Detection system using Apache Storm

Network intrusion detection is critical component of network management for security, quality of service and other purposes. These systems allow early detection of network intrusion and malicious activities; based on this detection, appropriate actions can be applied to manage these attacks. Several network intrusion detection systems are proposed and evaluated and many of them are currently in use to provide better security. Currently, computer networks are generating high volume of data traffic which cannot be analyzed by most network intrusion detection systems. This situation requires new techniques that can handle huge volume of real time data traffic and it must maintain the high throughput. We have proposed to network intrusion system based on support vector machine in this work. We also propose to use Apache Storm framework; which is a real-time distributed stream processing framework. This network intrusion system is tested for KDD 99 network intrusion dataset.
National and supranational institutions and trade

There should be very few people, if any, in this day and age who doubt that there have been major gains from trade. Since the 1960s, the world has seen momentous progress in trade volumes, consistently outpacing worldwide growth in gross domestic product (GDP). Such advances have been explained repeatedly in the international trade literature both theoretically and empirically (e.g.: Helpman and Krugman, 1985; Feenstra, 2004; and Lejour and Nahuis, 2005). Efficiency gains from trade to its participants have been quantified for numerous countries. Hufbauer and Grieco (2005) stated that an average American household enjoys annual benefits worth about US$ 10,000 from ‘shrinking distances’ and increasingly relaxed policy barriers to trade and investment in recent decades. Badinger (2005) estimated that the European Union countries would have had 20 per cent lower income per capita, on average, in the absence of international economic integration.
PSYCHOLOGY HARDINESS AND PSYCHOLOGY WELL-BEING OF BANKING SECTOR EMPLOYEES AND MODERATING ROLE OF COPING STRATEGY

Employees are one of the most important assets for country where its organization's structure determines the way these employees are interrelated and their teamwork in achieving the mission and the goal of the company which leads the employees to deal with stress in their personal life most likely in workplace. Stress can be accumulative over a period of time resulting in a "burnout experience" and it leads to physical and psychological ill-health adversely affecting work and social functioning. The objective of this study is to explore and investigate the coping strategy as a moderating effect in predicting psychology hardiness and psychology well-being among employees from Malaysian banking sector. This study also intended to determine correlation and the statistic significant differences in the respondents’ psychology hardiness by demographic factors such as gender. The survey was executed at 11 Banks and 141 respondents were participated in Kuala Lumpur which includes both Malaysian and the international banks as well. Psychology hardiness was measured using the dispositional Resilience [DRS-15 (v3.2)] scale, Coping strategy was measured using the Problem Oriented Brief Coping Experienced (BRIEF COPE) scale while Psychology well-being was measured using Well-being Manifestation Measure scale (WBMMS) scale. In the study, all three variables are score variable therefore the hypotheses were tested by using hierarchical multiple regression, Correlation and T-Test in SPSS version 20. The results of the study revealed that coping strategy enhances the effect of psychology hardiness on wellbeing. And, as a moderator coping strategy would increase the effect of psychological hardiness on employees' well-being in the banking sector.
RDMAR: a bandwidth-efficient routing protocol for mobile ad hoc networks

We present a loop-free routing protocol for ad hoc mobile networks. The protocol is highly adaptive, efficient and scaleable; and is well-suited in large mobile networks whose rate of topological changes is moderate. A key concept in its design is that protocol reaction to link failures is typically localised to a very small region of the network near the change. This desirable behaviour is achieved through the use of a novel mechanism for route discovery, called Relative Distance Micro-discovery (RDM). The concept behind RDM is that a query flood can be localised by knowing the relative distance (RD) between two terminals. To accomplish this, every time a route search between the two terminals is triggered, an iterative algorithm calculates an estimate of their RD, given an average nodal mobility and information about the elapsed time since they last communicated and their previous RD. Based on the newly calculated RD, the query flood is then localised to a limited region of the network centred at the source node of the route discovery and with maximum propagation radius that equals to the estimated relative distance. This ability to localise query flooding into a limited area of the network serves to minimise routing overhead and overall network congestion. Simulation results illustrate its performance and demonstrate its good behaviour comparing to other protocols proposed by IETF Working Group. We refer to the protocol as the Relative Distance Micro-discovery Ad Hoc Routing (RDMAR) protocol.
H IPCAL : State of the Art of OS and Network virtualization solutions for Grids

This document is the first report of our research activities c oncerning the HIPCAL project. It briefly reminds the projects aims, then provides a state of the art of the different solutions availa ble to fit our requirements and finally gives conclusions of prelimi nary experiments made over Grid5000 of the selected solutions. Ce document constitue le premier rapport de nos activités de recherche dans le cadre du projet HIPCAL. Il rappelle d’abord brièvement les objectifs du projet, puis fournit un état de l ’art des différentes solutions disponibles pour répondre à ces obje ctifs et enfin, propose un bilan des tests préliminaires faits sur Grid5 000 des solutions choisies.
On sensor selection in mobile devices based on energy, application accuracy, and context metrics

Continuously collecting sensor data on mobile devices helps in capturing important contextual information related to the user location, activity, and surrounding environment. This contextual information is required by different context aware applications. However, continuously capturing this information incurs an unacceptable energy cost that leads to draining the limited phone's battery very quickly. In this paper, we propose a sensor selection procedure which decides what sensors to use according to energy, accuracy, and required context metrics. We present an accuracy-energy based algorithm that reduces energy consumption while conserving the required application accuracy. We use this algorithm to build a sensor selection model to choose among location sensors. Experimental evaluation of this model shows energy savings of up to 80% in selected scenarios.
Visualizing Changes in Circuit Activity Resulting from Denervation and Reinnervation Using Immediate Early Gene Expression

We describe a novel strategy to evaluate circuit function after brain injury that takes advantage of experience-dependent immediate early gene (IEG) expression. When normal rats undergo training or are exposed to a novel environment, there is a strong induction of IEG expression in forebrain regions, including the hippocampus. This gene induction identifies the neurons that are engaged during the experience. Here, we demonstrate that experience-dependent IEG induction is diminished after brain injury in young adult rats (120–200 gm), specifically after unilateral lesions of the entorhinal cortex (EC), and then recovers with a time course consistent with reinnervation. In situ hybridization techniques were used to assess the expression of the activity-regulated cytoskeleton-associated protein Arc at various times after the lesion (4, 8, 12, 16, or 30 d). One group of rats was allowed to explore a complex novel environment for 1 hr; control operated animals remained in their home cage. In unoperated animals, exposure to the novel environment induced Arc mRNA levels in most pyramidal neurons in CA1, in many pyramidal neurons in CA3, and in a small number of dentate granule cells. This characteristic pattern of induction was absent at early time points after unilateral EC lesions (4 and 8 d) but recovered progressively at later time points. The recovery of Arc expression occurred with approximately the same time course as the reinnervation of the dentate gyrus as a result of postlesion sprouting. These results document a novel approach for quantitatively assessing activity-regulated gene expression in polysynaptic circuits after trauma.
Force control of a permanent magnet for minimally-invasive procedures

Magnetic actuation can be used for minimally invasive control of medical devices such as robotic catheters. However, current systems that use large permanent magnets are limited in their ability to modulate the magnetic force. In this paper we present a proof-of-concept system for closed-loop force control of a permanent magnet using shielding materials. Our system consists of a device that actuates pieces of high-permeability metal to redirect magnetic lines of flux. This is used to regulate the attractive force exerted by a large controlling magnet on a smaller moving magnet. We compare the performance of our system to FEA simulations and present experimental results for constant-force control at forces and distances that are medically relevant.
Developing learning software for children with learning disabilities through Block-Based development approach

Children with learning disability such as autism who have serious impairments with social, emotional, and communication skills require a high degree of personalization in using the educational software develop for them. The aim of this paper is to propose Block-Based Software Development method and approach that enables the end-users (such as parents and teachers) to build application software to suit the different need of an autistic child. This research hopefully can produce useful tailorable learning software in order to assist educating autistic children.
Dynamic parameter control in differential evolution with combined variants to optimize a three-finger end effector

A dynamic parameter control mechanism for the F parameter is added to a differential evolution with combined variants algorithm to optimize the design of a three-finger end effector. Such control is based on a sinusoidal behavior which allows the algorithm to get low and high stepsize values even late in the search. Two experiments are carried out to analyze the effect of the parameter control within the algorithm. The obtained performance is compared against the tuned version of the original algorithm and also against the tuned version of a differential evolution approach designed to solve mechanical design optimization problems. The results obtained suggest that the parameter control adopted helps the algorithm to find highly competitive results with a considerable lower number of solution evaluations.
Thermosensitive hydrogel for prolonged delivery of lentiviral vector expressing neurotrophin‐3 in vitro

The development of tissue engineering scaffolds for gene delivery has the potential to enhance gene transfer efficiency and safety via controlled temporal and spatial delivery. Lentiviral delivery can be carried out using the natural biopolymer thermoresponsive gel, chitosan/β‐glycerol phosphate (β‐GP) as a carrier.
The Human Dimension of Computer-Mediated Communications: Implications for International Educational Computer Conferences.

This article presents a conceptual framework for the research and practice of educational computer conferences that shifts the focus from the on-line messages being exchanged to the participants' engagement with the conference. This framework, known as the "Iceberg Metaphor" or the "Michigan Model of educational telecommunications," maintains that on-line communication is similar to the tip of an iceberg, whereas a great deal of the conference participants' learning experience takes place off-line. This conceptual framework was used in a recent case study at the University of Michigan regarding preservice teachers' use of a computer conference. The Metaphor's implication for this study was to shift the focus of inquiry from the conference transcript to extensive interviews with the participants to better understand their overall engagement with the conference. A summary of this study and its major findings are presented. The final section of this article discusses the possible implications the Iceberg Metaphor and related research may have for the creation, implementation, and evaluation of international educational computer conferences. (Contains 15 references.) (Author) *************************************** ***** ************************************ * Reproductions supplied by EDRS are the best that can be made * * from the original document. * *************************************** ****** *********************************** THE HUMAN DIMENSION OF COMPUTER-MEDIATED COMMUNICATIONS: IMPLICATIONS FOR INTERNATIONAL EDUCATIONAL COMPUTER CONFERENCES' Douglass J. Scott, Ph.D. Assistant Professor Michigan State University Abstract "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY D.J. ScottPERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY D.J. Scott TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC). " This article presents a conceptual framework for the research and practice of educational computer conferences that shifts the focus from the on-line messages being exchanged to the participants' engagement with the conference. This framework, known as the "Iceberg Metaphor" or the "Michigan Model of educational telecommunications," maintains that online communication is similar to the tip of an iceberg, whereas a great deal of the conference participants' learning experience takes place off-line. This conceptual framework was used in a recent case study at the University of Michigan regarding preservice teachers' use of a computer conference. The Metaphor's implication for this study was to shift the focus of inquiry from the conference transcript to extensive interviews with the participants to better understand their overall engagement with the conference. A summary of this study and its major findings are presented. The final section of this article discusses the possible implications the Iceberg Metaphor and related research may have for the creation, implementation, and evaluation of international educational computer conferences.
Privacy and Anonymity in Graph Data

Anonymization of datasets is an important problem in many different scenarios: the census bureau publishes anonymized information, hospitals want to make anonymized patient records available to health researchers, or network service provides might want to publish network traces. Anonymization techniques have have been investigated widely in the past few years [Sweeney, 2002; Machanavajjhala et al., 2006], but the focus of this work has been on the anonymization of one single table, where there is a 1:1 correspondence between tuples and real-world individuals, and tuples can be treated independently. We consider datasets that cannot be modelled adequately within the single table framework. As soon as the database contains information about the interaction of real-world entities, tuples in the database are no longer independent, and convential anonymization techniques fail for several reasons. This is in fact the case for many interesting datasets: email communication traces, social networks and data sharing in the intelligence community are only a few examples. There are two fundamentally different approaches to prevent the publication of private information about individuals. If the database is stored on a central server, and all authorized parties access the data through this server, then we can add noise to query answers and thus prevent an adversary from learning too much information about individuals. This approach does not work well when the information should be made available to the general public, or the data owner does not want to maintain the necessary infrastructure. Furthermore, collusion of parties and the time-evolution of the database is not solved satisfactorily in this setting. A second and more general approach is to anonymize the database once and then publish the anonymized version. Because here we do not know anything about the specific queries that are run on the published database, we have to give privacy guarantees with respect to all possible queries. In this report, we investigate the problems associated with the second approach in a graph data context. In the section 2, we introduce the Enron email dataset as an example that is used throughout the rest of this report. A formal framework for anonymization and disclosure analysis is
An automated linguistic knowledge-based cross-language transfer method for building acoustic models for a language without native training data

In this paper we describe an automated, linguistic knowledge-based method for building acoustic models for a target language for which there is no native training data. The method assumes availability of well-trained acoustic models for a number of existing source languages. It employs statistically derived phonetic and phonological distance metrics, particularly a combined phonetic-phonological (CPP) metric, defined to characterize a variety of linguistic relationships between phonemes from the source languages and a target language. Using these metrics, candidate phonemes from the source languages are automatically selected for each phoneme of the target language and acoustic models are constructed. Our experiments show that this automated method can generate acoustic models with good quality, far above the general phoneme symbol-based cross-language transfer strategy, reaching the performance of models generated through acoustic-distance mapping.
Research Statement Dissertation Research

My interests span the field of computer architecture and compiler technology with a focus on system reliability, performance and energy-efficiency. Within this scope, I have worked on numerous projects during the course of my doctoral research, industrial internships and collaboration within the University of Michigan. In the reliability domain, I have investigated hard-fault tolerance (both in processors and caches), softerror tolerance, and concurrency bugs in parallel programs. In the performance domain, I have developed microarchitectural solutions for enabling dynamic multicores, which can cater to situations requiring singlethread performance, throughput computing and anything in between. And finally, in the energy-efficiency domain, I am exploring configurable compute engines that can save a large fraction of instruction and data supply energy.
Scene-independent super-resolution for plenoptic cameras

classroom use is granted without fee provided that copies are not made or distributed for commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. SIGGRAPH 2014, August 10 – 14, 2014, Vancouver, British Columbia, Canada. 2014 Copyright held by the Owner/Author. ACM 978-1-4503-2958-3/14/08 Scene-independent Super-resolution for Plenoptic Cameras