Miracle-dz/UniFAR-FTUs huggingface dataset:
Pacific Asia Conference on Information Systems ( PACIS ) 2014 AN APPROACH FOR HESITANT NODE CLASSIFICATION IN OVERLAPPING COMMUNITY DETECTION

Overlapping community detection has recently drawn much attention in the field of social network analysis. In this paper, we propose a notion of hesitant node (HN) in network with overlapping community structure. An HN is a special kind of node that contacts with multiple communities but the communication is not frequent or even accidental, thus its community structure is implicit and its classification is ambiguous. Besides, HNs are not rare to be found in networks and may even take up a large number of the nodes in the network, just like the long tail. They should either be classified into certain communities which would promote their development in the network or regarded as the hubs if they are the efficient junctions between different communities. Current approaches have difficulties in identifying and processing HNs. In this paper, a quantitative method based on the Density-Based Rough Set Model (DBRSM) is proposed by combining the advantages of density-based algorithms and rough set model. Our experiments on the real-world and synthetic datasets show the advancement of our approach. HNs are classified into communities which are more similar with them and the classification process enhances the modularity as well.
Energy Balanced Virtual Force-Based Approach for Mobile WSNs

Wireless Sensor Networks (WSNs) have gained worldwide attentions in recent years. Since WSNs can be conveniently deployed to monitor a given field of interest, they have been considered as a great long-term economic potential for military, environmental, and scientific applications etc. One of the most active areas of research in WSNs is the coverage which is one of the most essential functions to guarantee quality of service (QoS) in WSNs. However, little attention is pied on the energy balance of the whole network. In this work, the energy balanced problems in mobile WSNs redeployment have been analyzed. The virtual force algorithm with extend virtual force model is used to improve the QoS of the deployment. And energy model is added to enhance or limit the movement the nodes so that the energy of the whole WSNs can be balanced and the lifetime of the network can be prolong. The simulation results verify the effectiveness of this proposed algorithm.
Stimulation of Subthalamic Nuclei Restores a Near Normal Planning Strategy in Parkinson’s Patients

A fundamental function of the motor system is to gather key information from the environment in order to implement behavioral strategies appropriate to the context. Although several lines of evidence indicate that Parkinson’s disease affects the ability to modify behavior according to task requirements, it is currently unknown whether deep brain stimulation (DBS) of the subthalamic nucleus (STN) affects context-related planning. To explore this issue, we asked 12 Parkinson’s patients with bilateral STN DBS and 13 healthy subjects to execute similar arm reaching movements in two different paradigms: go-only and countermanding tasks. In the former task patients had to perform speeded reaching movements to a peripheral target. In contrast, in the countermanding task participants had to perform the same reaches unless an infrequent and unpredictable stop-signal was shown during the reaction time (RT) indicating that they should withhold the ongoing action. We compared the performance of Parkinson’s patients in different DBS conditions. We found that patients with both DBS-ON behaved similarly to healthy subjects, in that RTs of no-stop trial increased while movement times (MTs) decreased with respect to those of go-only-trials. However, when both DBS were off, both RTs and MTs were longer in no-stop trials than in go-only trials. These findings indicate that bilateral DBS of STN can partially restore the appropriate motor strategy according to the given cognitive contexts.
JEDI: Joint Entity and Relation Detection using Type Inference

F REEBASE contains entities and relation information but is highly incomplete. Relevant information is ubiquitous in web text, but extraction deems challenging. We present JEDI, an automated system to jointly extract typed named entities and F REEBASE relations using dependency pattern from text. An innovative method for constraint solving on entity types of multiple relations is used to disambiguate pattern. The high precision in the evaluation supports our claim that we can detect entities and relations together, alleviating the need to train a custom classiﬁer for an entity type 1 .
USMMC: a self-contained model checker for UML state machines

UML diagrams are gaining increasing usage in Object-Oriented system designs. UML state machines are specifically used in modeling dynamic behaviors of classes. It has been widely agreed that verification of system designs at an early stage will dramatically reduce the development cost. Tool support for verification UML designs can also encourage consistent usage of UML diagrams throughout the software development procedure. In this work, we present a tool, named USMMC, which turns model checking of UML state machines into practice. USMMC is a self-contained toolkit, which provides editing, interactive simulation as well as powerful model checking support for UML state machines. The evaluation results show the effectiveness and scalability of our tool.
The problem with solutions to the frame problem

The frame problem, the problem of efficiently determining which things remain the same in a changing world, 1 has been with us for over a quarter of a century – ever since the publication of McCarthy and Hayes’s famous essay, “Some Philosophical Problems from the Standpoint of Artificial Intelligence,” in 1969. A quarter of a century is a very long time in the time frame of computer science, and especially in the history of Artificial Intelligence (AI), which has itself been around for only about 40 years. Indeed, it is not much younger than the advent of logicist AI (McCarthy, 1958), that brand of AI which attempts to formalize reasoning, particularly common-sense reasoning, within mathematical logic. Present since the early years of AI, the frame problem has festered within the AI community. It has drawn, and continues to draw, manpower and talent from the pool of AI researchers, particularly from the logicist community. It has pitted logicists against antilogicists, who argue that the attempt to capture common-sense reasoning within formal logic is doomed to failure. In fact, it was a major factor in the rather public and shocking (for AI standards) conversion of a stalwart logicist, Drew McDermott, to a confirmed antilogicist (McDermott, 1987). Twenty-six years may not seem like a long time to philosophers and mathematicians This is a loose, and not quite precise, definition of the frame problem. In fact, one of the problems with the frame problem is the fact that everybody seems to define it a little differently. See section 3 for a serious investigation of what exactly the frame problem is.
Improving the Health of the World s Poorest People

Population Reference Bureau Founded in 1929, the Population Reference Bureau is the leader in providing timely and objective information on U.S. and international population trends and their implications. PRB informs policymakers, educators, the media, and concerned citizens working in the public interest around the world through a broad range of activities, including publications, information services, seminars and workshops, and technical support. Our efforts are supported by government contracts, foundation grants, individual and corporate contributions, and the sale of publications. PRB is governed by a Board of Trustees representing diverse community and professional interests. The Health Bulletin provides a user-friendly overview of key issues in international health policy. This publication is distributed to decisionmakers, analysts , program managers, advocates, journalists, librarians, professors, and students. The Health Bulletin is supported through a grant to PRB from the Bill & Melinda Gates Foundation to make important research findings more accessible to users worldwide. The initiative also includes training, Internet, and other activities to strengthen health policies and programs.This publication is available from PRB. To become a PRB member or to order PRB materials, con
Intersecting Branes

m etric: a ‘single 3-planesolution’ofthehyper-K (cid:127)ahlerconditionswith p-vector( p 1 ;p 2 )isassociated with a IIB superstring 5-brane with 5-brane charge vector( p 1 ;p 2 ). Thisim pliesthatthere is a directcorrelation between the angle atwhich any given 5-brane isrotated,relative to a D 5-brane,and its5-brane charge.A n instructive case to consideristhe three 5-brane solution involving a D 5-brane and an N S -5-brane,having orthogonaloverlap,and one other 5-brane. A s the orientation ofthe third 5-brane is changed from parallelto the D 5-brane to parallelto the N S -5-brane it changes,cham eleon-like,from a D -brane to an N S -brane.
Towards analyzing eye tracking data for evaluating interactive visualization systems

Eye tracking can be a suitable evaluation method for determining which regions and objects of a stimulus a human viewer perceived. Analysts can use eye tracking as a complement to other evaluation methods for a more holistic assessment of novel visualization techniques beyond time and error measures. Up to now, most stimuli in eye tracking are either static stimuli or videos. Since interaction is an integral part of visualization, an evaluation should include interaction. In this paper, we present an extensive literature review on evaluation methods for interactive visualizations. Based on the literature review we propose ideas for analyzing eye movement data from interactive stimuli. This requires looking critically at challenges induced by interactive stimuli. The first step is to collect data using different study methods. In our case, we look at using eye tracking, interaction logs, and thinking-aloud protocols. In addition, this requires a thorough synchronization of the mentioned study methods. To analyze the collected data new analysis techniques have to be developed. We investigate existing approaches and how we can adapt them to new data types as well as sketch ideas how new approaches can look like.
Proposed solutions to citizen engagement in virtual environments of social participation: a systematic review

This paper aimed to understand how the engagement of citizens in virtual environments of social participation is studied in the literature. By virtual environment of social participation I understand: an Internet platform where themes for direct or indirect dialogue between civil society and the various spheres of government are made available through the digital participation of the citizen. A systematic review identified 96 papers, which were then analysed. Proposals to engage citizens in virtual environments of social participation use one of the following approaches: gamification, games, social networks, collaborative contribution or specific and personalised information. This study is important for researchers wanting to be current with the scientific state of the art. This review will also assist the scientific community working with citizen engagement in virtual environments of social participation to build a common understanding of the challenges that must be faced, and to identify areas where research is lacking.
Apolipoprotein B metabolism and the distribution of VLDL and LDL subfractions.

Apolipoprotein B (apoB) metabolism was investigated in 20 men with plasma triglyceride 0.66-2.40 mmol/l and plasma cholesterol 3.95-6. 95 mmol/l. Kinetics of VLDL(1) (S(f) 60-400), VLDL(2) (S(f) 20-60), IDL (S(f) 12-20), and LDL (S(f) 0;-12) apoB were analyzed using a trideuterated leucine tracer and a multicompartmental model which allowed input into each fraction. VLDL(1) apoB production varied widely (from 5.4 to 26.6 mg/kg/d) as did VLDL(2) apoB production (from 0.18 to 8.4 mg/kg/d) but the two were not correlated. IDL plus LDL apoB direct production accounted for up to half of total apoB production and was inversely related to plasma triglyceride (r = -0.54, P = 0.009). Percent of direct apoB production into the IDL/LDL density range (r = 0.50, P < 0.02) was positively related to the LDL apoB fractional catabolic rate (FCR). Plasma triglyceride in these subjects was determined principally by VLDL(1) and VLDL(2) apoB fractional transfer rates (FTR), i.e., lipolysis. IDL apoB concentration was regulated mainly by the IDL to LDL FTR (r = -0.71, P < 0.0001). LDL apoB concentration correlated with VLDL(2) apoB production (r = 0.48, P = 0.018) and the LDL FCR (r = -0.77, P < 0. 001) but not with VLDL(1), IDL, or LDL apoB production. Subjects with predominantly small, dense LDL (pattern B) had lower VLDL(1) and VLDL(2) apoB FTRs, higher VLDL(2) apoB production, and a lower LDL apoB FCR than those with large LDL (pattern A). Thus, the metabolic conditions that favored appearance of small, dense LDL were diminished lipolysis of VLDL, resulting in a raised plasma triglyceride above the putative threshold of 1.5 mmol/l, and a prolonged residence time for LDL. This latter condition presumably permitted sufficient time for the processes of lipid exchange and lipolysis to generate small LDL particles.
Multiuser receiver design for MC-CDMA systems with quasi-orthogonal STBCs

Multiuser receiver detection is examined in this paper for quasi-synchronous multi-carrier code-division multiple-access (MCCDMA) multiple-input multiple-output (MIMO) system with space-time block codes (STBC). Considering quasi-orthogonal STBC scheme that involves four transmit and multiple receive antennas, the linearly constrained minimum variance (LCMV) and eigenspace receivers are employed for symbol detection. The weight analyses are performed such that the computational cost of receiver design is reduced. Besides, the forward backward averaging technique is presented to enhance the performance of multiuser detection. Finally, numerical simulations are given to evaluate and compare the proposed channel estimation and symbol detection techniques.
Caustic and Weak-Lensing Estimators of Galaxy Cluster Masses

There are only two methods for estimating the mass distribution in the outer regions of galaxy clusters, where virial equilibrium does not hold: weak gravitational lensing and identification of caustics in redshift space. For the first time, we apply both methods to three clusters: Abell 2390, MS 1358.4+6245, and Cl 0024+1654. The two measures are in remarkably good agreement out to ~2 h-1 Mpc from the cluster centers. This result demonstrates that the caustic technique is a valuable complement to weak lensing. With a few tens of redshifts per square comoving megaparsec within the cluster, the caustic method is applicable for any z ≲ 0.5.
Design of LTE E-MBMS Dynamic Scheduling Information

Dynamic scheduling is of practical and theoretical significance to improve spectrum efficiency of MBMS (multimedia broadcast/multicast service) in LTE (Long Term Evolution of UMTS) system. However, the existing schemes about the design of its DSI (dynamic scheduling information) encounter the problem that whether both the starting position and the ending position of the subframes one MTCH occupies should be explicitly indicated by DSI. Moreover, these schemes also suffer from the consumption of excessive overhead due to their absolute indexing of the subframe position. In this paper, we provided a detailed discussion on these issues, and built an OPNET simulation platform based strictly on the standard 3GPP traffic model and LTE protocol stack. The simulation result shows that the indication of both starting and end positions is unnecessary. Then we propose a differential indexing scheme which can futher reduce the overhead of DSI compared to current design scenarios.
Performance evaluation of CoMP methods under RF calibration errors

Coordinated multipoint (CoMP) transmission-reception systems promise an enhanced cell-edge user downlink throughput, specially in time division duplexing (TDD) systems. Radio frequency (RF) calibration is necessary for proper CoMP operation. In this paper, we study the performance of different CoMP schemes and different precoders under RF mismatch calibration errors. Numerical results are provided which show the best CoMP mode candidates given different SNR and calibration error levels.
Impact of Sidewall Roughness on Integrated Bragg Gratings

A major issue in the fabrication of integrated Bragg grating (IBG) filters in highly confined waveguides is the average effective index fluctuations caused by sidewall roughness. In this work, we model the impact of this effect on IBG spectral responses and we identify key parameters that need to be controlled in order to minimize distortions. We show that only low spatial frequency components of the noise are relevant to the calculation of the IBG spectral response, which decreases considerably the computation time. Furthermore, we present an IBG emulator that allows estimation of expected fabrication yield of specific gratings given that the fabrication process is well characterized. The analysis of apodized gratings is used as an example to illustrate how this modeling can help to reduce development cost by first studying robustness of IBG designs to fabrication limitations. Finally, we study analytically the impact of sidewall roughness having short correlation lengths and small roughness variances on the spectral response of weak gratings.
The potential of trace-level parallelism in Java programs

The exploitation of parallelism among traces, i.e. hot paths of execution in programs, is a novel approach to the automatic parallelization of Java programs and it has many advantages. However, to date, the extent to which parallelism exists among traces in programs has not been made clear. The goal of this study is to measure the amount of trace-level parallelism in several Java programs. We extend the Jupiter Java Virtual Machine with a simulator that models an abstract parallel system. We use this simulator to measure trace-level parallelism. We further use it to examine the effects of the number of processors, trace window size, and communication type and cost on performance. Our results indicate that enough trace-level parallelism exists for a modest number of processors. Thus, we conclude that trace-based parallelization is a potentially viable approach to improve the performance of Java programs.
Design and usability assessment of a dialogue-based cognitive tutoring system to model expert problem solving in research design

Technology provides the means to create useful learning and practice environments for learners. Well-designed cognitive tutor systems, for example, can provide appropriate learning environments that feature cognitive supports (ie, scaffolding) for students to increase their procedural knowledge. The purpose of this study was to conduct a series of usability tests of a dialogue-based design framework for the presentation of domain knowledge and assess how it can be used to actively engage learners in learning about research methods. Three formal usability assessments and an instructor adoption assessment were conducted during the development of the tutoring system. Each usability assessment employed diverse data collection methods to ensure broad and in-depth coverage of findings. The findings revealed that the dialogue metaphor enabled natural and participatory interactions between the system and users. The feedback prompts or hints and support resources provided opportunities for learning during the process of problem solving. Future research to extend the support of usability assessments is also discussed. [ABSTRACT FROM AUTHOR]
Aspergillus awamori Feeding Modifies Lipid Metabolism in Rats

In the present study, an experiment was conducted to show that A. awamori modifies lipid metabolism in mammals. A total number of 24 rats at 6 weeks of age were divided into 2 groups (10% and 30% fat dietary groups), and each group was further divided into control and experimental groups (6 rats per group). Rats in the experimental groups were given diets containing 0.05% A. awamori. The diets were administered for 3 weeks to evaluate the effects of A. awamori on growth, plasma lipid profile, and the expressions of genes related to lipid metabolism in the liver. After the rats were fed A. awamori, body weight gain was increased, while food intake was decreased; therefore, food efficiency was increased in both A. awamori groups. Plasma triglycerides, LDL cholesterol, and glucose levels were decreased, but plasma HDL cholesterol levels were increased. Furthermore, saturated fatty acids were decreased while; unsaturated fatty acids were increased in the liver. The liver mRNA levels of FAS, ACC, delta-6-desaturase, and HMG-CoA reductase were increased, while the mRNA level of LDL receptor was decreased. From these data, it is proposed that A. awamori could be used as an effective probiotic to prevent lifestyle-related diseases in humans.
Selection Process of Open Source Software Component

In 1985 Free software Foundation(FSF) was developed with the software being termed as free however some individuals felt that the term free software would not go well with the corporate world and as such proposed the term Open Software.This saw the formation of Open Source initiative(OSI) in 1998 which had an intend to enable software developers to be able to publish their software with an open source license, to allow others to access the source code and also develop further the same software[1]. The two movements in the software development age disagree on basic principles but do agree on the practical recommendations of the software. FSF meant software that gives one freedom to do what they want and when it comes to OSI it is software compliant with one of the licenses of Free Software Foundation or Open Source Initiative. [2, 3]. The two terms OSS or FOSS(Free OSS)are used interchangeably but i will focus on OSS and in this paper i will discuss the various methods that are used in the evaluation and selection of an OSS component. To be able to tackle this i have structured the discussion as such that i discuss an in depth denition of the two terms OS and FS, OSS component, evaluation framework and the selection process and nally my conclusion.
Technocamps: Advancing Computer Science Education in Wales

Computer science education in the UK has undergone substantial scrutiny over the past five years. In particular, from September 2014, we have seen the implementation and delivery of a new computing curriculum in England. However, in Wales -- one of the four devolved nation in the UK -- numerous political, geographical and socio-technical issues have hindered any substantive educational policy or curriculum reform for computer science. This is despite the widespread efforts to address the failings of computer science education in schools since at least 2003 through Technocamps, a pan-Wales university-based schools outreach programme. In this paper we outline the history (and pre-history) of Technocamps, contextualised by the devolved nature of education in the UK, positioning Wales with its specific issues and challenges. Furthermore, we present evidence both in support of this university engagement and intervention model as well as its wider positive effect on promoting and supporting computer science education in Wales, a nation about to take its first steps on the path of a large-scale national curriculum review and significant educational reform.
Une plateforme de recommandation automatique d’emojis (An emoji recommandation platform)

Nous présentons une interface de recommandation d’emojis porteurs de sentiments qui utilise un modèle de prédiction appris sur des messages informels privés. Chacun étant associé à deux scores de polarité prédits. Cette interface permet permet également d’enregistrer les choix de l’utilisateur pour confirmer ou infirmer la recommandation.