Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Facebook Post Contribute to Citation Count?: An Analysis of World’s Most Influential Scientific Articles - 2014

Due to the increasing amount of scientific work and the typical delays in publication, assessing the impact of scholarly work is a huge challenge. The goal of this paper is to find out the association between Facebook and citation pattern for scholarly articles. The study was carried out to analyze the most prolific authors of 2014 from the document World’s Most Influential Scientific Minds 2014 from four subject domains Clinical Medicine, Microbiology, Molecular Biology and Neuroscience, and around 4886 papers and 719 most prolific authors were identified and their facebook and citation count studied. From the study, it was found out that articles of the most prolific authors have a strong correlation with citation whereas the association between the number of articles published by these prolific authors and the number of Facebook count they have received are not dependent on each other.
Energy-Based Feed-Forward and Extended Feedback Linearization Control Strategies for Realistic Series Elastic Actuated Hopping Robots

In this paper, we describe modeling and control techniques for a real-world series-elastic actuated 1D hopping robot. There is an abundance of work regarding the implementation of highly simplified hopper models, with the hopes of extracting fundamental control ideas for running and hopping robots. However, real-world systems unfortunately cannot be accurately described by such simple models, as real actuators have their own dynamics including additional inertia and nonlinear frictional losses. Therefore, an important step towards demonstrating high controllability and robustness to real-world, uneven terrain is in providing accurate higher-order hybrid models of real-world hopper dynamics. Implementing feedback based control for series-elastic actuators is difficult when the actuator has real dynamics, as the input variable does not instantaneously change the leg length acceleration. In addition to providing analytically exact feed-forward based control, we also provide an interesting method for regulating apex heights by extending the method of feedback linearization to a higher order. Motivated by actual hardware, our work here addresses 1D modeling and control of the real-world dynamics of a hopper designed for energy efficiency, with the eventual goal of developing robust and agile control for 2D and 3D hoppers.
Query Optimizer Model for Performance Enhancement of Data Mining Based Query

In present scenario almost applications are built upon data mining & OLAP tools and allow Users to answer information requests based on a data warehouse. that is managed by a powerful RDBMS. This paper is focused on query optimization technique which generates sequences of SQL statements in order to produce the requested information. The analysis for this paper is exposed that many sequences of queries generated by commercial tools are not very efficient. Semantic query optimizer architecture is suggested for these applications. The main component is a SQO optimizer that accepts previously generated sequences of queries and rewrites them according to a set of optimization strategies, before they are executed by the underlying database system. The advantages of this proposed architecture are discussed and this is an appropriate approach to optimize query sequences for data warehousing & Data mining based applications.
2.5D system integration: a design driven system implementation schema

We investigate a 3D die-stacking based VLSI integration strategy, socalled 2.5D integration, which can potentially overcome many problems stumbling the development of monolithic system-on-chip (SoC). Here, we review available fabrication technologies and testing solutions for the new integration strategy. We also propose a design driven system implementation schema for this new integration strategy. A layout synthesis framework is under development by us to analyze typical "what if" questions and resolve major physical attributes for a 2.5D system according to the design specification and constraints.
A high level Hardware Architecture Binarizer for H . 264 / AVC CABAC Encoder

The standard H.264/AVC represents an enormous step forward in the field of the technologies of video compression. It guarantees a better efficiency of compression because of the biggest precision of the predictive functions and the better tolerance of the errors, also provides new possibilities for the creation of video encoders offering video flows of higher quality, frequency of image more important and higher resolution. In the standard H.264, there are two entropy coders which are distinguished from the other video standards, CAVLC (Context Adaptive Variable Length Coding) and CABAC (Context Adaptive Binary Arithmetic Coding). In this paper, we present the various blocks binarization, contextmodel and arithmetical binary coding) of the encoder CABAC. In addition, a new hard architecture of binarization process of CABAC has been proposed which supports all binarization techniques. These results were achieved by using the ModelSim tool for the simulation and the ISE tool for the synthesis targeting the FPGA technology of Xilinx. The proposed design consumes about 400 slices and works on the 145.15 MHz frequency.
Frequency Domain Testing: A New Approach in Online Test of VLSI Digital Signal Processing Systems

A new implementation of frequency domain online test approach is proposed for general digital linear time-invariant(LTI) systems. An analytical signal processing approach is used to extract the online test relation of LTI systems in frequency domain. An optimal implementation of the developed technique is proposed using sliding Goertzel DFT to reduce area and computational overheads with minimum error detection latency. Finite-precision analysis is done for fixed-point implementation of the proposed technique. The overhead is fixed and does not increase as complexity of LTI system increases. Simulation of fault detection capability is done for different filters using developed FLI fault injector platform.
A unified approach in the analysis of latches and flip-flops for low-power systems

In this paper we propose a set of rules for consistent estimation of the real performance and power features of the latch and flip-flop structures. A new simulation and optimization approach is presented, targeting both high-performance and power budget issues. The analysis approach reveals the sources of performance and power consumption bottlenecks in different design styles. Certain misleading parameters have been properly modified and weighted to reflect the real properties of the compared structures. Furthermore, the results of the comparison of representative latches and flip-flops illustrate the advantages of our approach and the suitability of different design styles for low-power and high-performance applications.
Biological Crystallography High-resolution Structure of Myo-inositol Monophosphatase, the Putative Target of Lithium Therapy

Inositol monophosphatase is a key enzyme of the phospha-tidylinositol signalling pathway and the putative target of the mood-stabilizing drug lithium. The crystal structure of bovine inositol monophosphatase has been determined at 1.4 A ˚ resolution in complex with the physiological magnesium ion ligands. Three magnesium ions are octahedrally coordinated at the active site of each of the two subunits of the inositol monophosphatase dimer and a detailed three-metal mechanism is proposed. Ligands to the three metals include the side chains of Glu70, Asp90, Asp93 and Asp220, the backbone carbonyl group of Ile92 and several solvent molecules, including the proposed nucleophilic water molecule (W1) ligated by both Mg-1 and Mg-3. Modelling of the phosphate moiety of inositol monophosphate to superpose the axial phosphate O atoms onto three active-site water molecules orientates the phosphoester bond for in-line attack by the nucleophilic water which is activated by Thr95. Modelling of the pentacoordinate transition state suggests that the 6-OH group of the inositol moiety stabilizes the developing negative charge by hydrogen bonding to a phosphate O atom. Modelling of the post-reaction complex suggests a role for a second water molecule (W2) ligated by Mg-2 and Asp220 in protonating the departing inositolate. This second water molecule is absent in related structures in which lithium is bound at site 2, providing a rationale for enzyme inhibition by this simple monovalent cation. The higher resolution structural information on the active site of inositol monophosphatase will facilitate the design of substrate-based inhibitors and aid in the development of better therapeutic agents for bipolar disorder (manic depression). PDB Reference: myo-inositol monophosphatase, 2bji, r2bjisf.
Role of Renal Arterial Embolization (Rae) In Treatment of Iatrogenic Renal Arterial Injuries

Background: Trans-catheter renal arterial embolization (RAE) has emerged as a possible alternative to surgery in the management of iatrogenic renal arterial injuries. Objective: To discuss the role of renal arterial embolization in patients with iatrogenically-induced renal arterial injuries. Methodology: All cases were done at the Interventional Radiology Unit, Ain Shams University Hospital. Results: Technical and Clinical success rates of the RAE reached 90% for each, with post procedural complications that only amounted up to 30%, half of which was the post embolization syndrome that presents as fever, leukocytosis and pain and is treated conservatively. Conclusion: Renal artery embolization has proven to be a safe, minimally invasive option in the treatment of iatrogenic renal arterial injuries achieving high technical and clinical success rates.
Two-Higgs Models for Large \(\tan \beta\) and Heavy Second Higgs

We study two-Higgs models for large tan β and relatively large second Higgs mass. In this limit the second heavy Higgs should have small vev and therefore couples only weakly to two gauge bosons. Furthermore, the couplings to down-type quarks can be significantly modified (so long as the second Higgs is not overly heavy). Both these facts have significant implications for search strategies at the LHC and ILC. We show how an effective theory and explicit fundamental two-Higgs model approach are related and consider the additional constraints in the presence of supersymmetry or Z2 flavor symmetries. We argue that the best tests of the two-Higgs doublet potential are likely to be measurements of the light Higgs branching fractions. We show how higher dimension operators that have recently been suggested to raise the light Higgs mass are probably best measured and distinguished in this way.
High-Resolution Fine Mapping and Fluorescence in Situ Hybridization Analysis of sun, a Locus Controlling Tomato Fruit Shape, Reveals a Region of the Tomato Genome Prone to DNA Rearrangements

The locus sun on the short arm of tomato chromosome 7 controls morphology of the fruit. Alleles from wild relatives impart a round shape, while alleles from certain cultivated varieties impart an oval shape typical of roma-type tomatoes. We fine mapped the locus in two populations and investigated the genome organization of the region spanning and flanking sun. The first high-resolution genetic map of the sun locus was constructed using a nearly isogenic F2 population derived from a cross between Lycopersicon pennellii introgression line IL7-4 and L. esculentum cv Sun1642. The mapping combined with results from pachytene FISH experiments demonstrated that the top of chromosome 7 is inverted in L. pennellii accession LA716. sun was located close to the chromosomal breakpoint and within the inversion, thereby precluding map-based cloning of the gene using this population. The fruit-shape locus was subsequently fine mapped in a population derived from a cross between L. esculentum Sun1642 and L. pimpinellifolium LA1589. Chromosome walking using clones identified from several large genomic insert libraries resulted in two noncontiguous contigs flanking sun. Fiber-FISH analysis showed that distance between the two contigs measured 68 kb in L. esculentum Sun1642 and 38 kb in L. pimpinellifolium LA1589, respectively. The sun locus mapped between the two contigs, suggesting that allelic variation at this locus may be due to an insertion/deletion event. The results demonstrate that sun is located in a highly dynamic region of the tomato genome.
Web-Based Specialist Support for Spinal Cord Injury Person's Care: Lessons Learned

Persons with disability from spinal cord injury (SCI) are subject to high risk of pathological events and need a regular followup even after discharge from the rehabilitation hospital. To help in followup, we developed a web portal for providing online specialist as well as GP support to SCI persons. After a feasibility study with 13 subjects, the portal has been introduced in the regional healthcare network in order to make it compliant with current legal regulations on data protection, including smartcard authentication. Although a number of training courses have been made to introduce SCI persons to portal use (up to 50 users), the number of accesses remained very low. Reasons for that have been investigated by means of a questionnaire submitted to the initial feasibility study subjects and included the still easier use of telephone versus our web-based smartcard-authenticated portal, in particular, because online communications are still perceived as an unusual way of interacting with the doctor. To summarize, the overall project has been appreciated by the users, but when it is time to ask for help to, the specialist, it is still much easier to make a phone call.
The Conceptual Act Theory: A Précis

According to the conceptual act theory, emotions emerge when physical sensations in the self and physical actions in others are meaningfully linked to situations during a process that can be called both cognitive and perceptual (creating emotional experiences, and emotion perceptions, respectively). There are key four hypotheses: (a) an emotion (like anger) is a conceptual category, populated with instances that are tailored to the environment; (b) each instance of emotion is constructed within the brain’s functional architecture of domain-general core systems; (c) the workings of each system must be holistically understood within the momentary state of the brain, the body, and the surrounding context; (d) being emergent states, emotional episodes have functional features that physical states, alone, do not have. Similarities and differences to other theoretical approaches to emotion are discussed.
Towards a standard approach for medical images segmentation

Summary form only given. In this paper we introduce a standard approach for medical images segmentation. In fact, for these images the segmentation consists in the extraction of an area of interest representing the organ subject of diagnosis. We distinguish two approaches depending on whether this area is composed of one region or of many regions. If it is composed of a single region, we introduce a growing region algorithm after a prestep based on fuzzy sets. Otherwise, we introduce an approach integrating a hierarchical system of segmentation in regions and a system of fuzzy classification. We illustrate our approach by applying it on real images in the frameworks of dermatology, neurology and mammography.
Reconstruction of 3D Human Facial Images Using Partial Differential Equations

One of the challenging problems in geometric modeling and computer graphics is the construction of realistic human facial geometry. Such geometry are essential for a wide range of applications, such as 3D face recognition, virtual reality applications, facial expression simulation and computer based plastic surgery application. This paper addresses a method for the construction of 3D geometry of human faces based on the use of Elliptic Partial Differential Equations (PDE). Here the geometry corresponding to a human face is treated as a set of surface patches, whereby each surface patch is represented using four boundary curves in the 3-space that formulate the appropriate boundary conditions for the chosen PDE. These boundary curves are extracted automatically using 3D data of human faces obtained using a 3D scanner. The solution of the PDE generates a continuous single surface patch describing the geometry of the original scanned data. In this study, through a number of experimental verifications we have shown the efficiency of the PDE based method for 3D facial surface reconstruction using scan data. In addition to this, we also show that our approach provides an efficient way of facial representation using a small set of parameters that could be utilized for efficient facial data storage and verification purposes.
A study on dynamic load balance for IEEE 802.11b wireless LAN

We study the problem of load balancing in 802.11-based wireless networks, operating in infrastructure mode. In a large wireless network with multiple collocated Access Points (AP), a load balancing policy is necessary for the distribution of the wireless stations (WS) to the AP's, so as the network performance to be maximized. Already proposed algorithms, which are based only on the received signal strength indicator (RSSI), may cause all the WS to be associated to a single or to a very few number of AP, and result in an overall network performance degradation. In this paper, we propose a load balancing procedure, which acts in two separate levels. First, the AP's are either distributed across the channels (if the number of AP is small) or located in the same channel that is specified by taking into account the channel-location and the received RSSI of the neighbor AP. Second, the WS are distributed across all the available AP based not only on RSSI measurements but also on the number of WS already associated to the AP and other link quality measurements. Besides, in this paper we describe the signaling extension needed for the implementation of the proposed load balancing procedure.
APPLYING A NEW MULTIDIMENTIONAL FRAMEWORK TO THE EVALUATION OF MULTIAGENT SYSTEM METHODOLOGIES

Because of the great interest in using multiagent systems (MAS) in a wide variety of applications in recent years, agentoriented methodologies and related modeling techniques have become a priority for the development of large scale agentbased systems. The work we present here belongs to the disciplines of Software Engineering and Distributed Artificial Intelligence. More specifically, we are interested in software engineering aspects involved in the development of multiagent systems (MAS). Several methodologies have been proposed for the development of MAS. For the most part, these methodologies remain incomplete: they are either an extension of object-oriented methodologies or an extension of knowledge-based methodologies. In addition, too little effort has gone into the standardization of MAS methodologies, platforms and environments. It seems obvious, therefore, that software engineering aspects of the development of MAS still remain an open field. The success of the agent paradigm requires systematic methodologies for the specification, analysis and design of “non toy” MAS applications. We here present a framework called MUCCMAS, which stands for MUltidimensional framework of Criteria for the Comparison of MAS methodologies, that enabled us to make a comparative analysis of existing main MAS methodologies. The overall results of this comparative analysis are presented here. Results from this work have also lead us to propose a unification scheme, much in the same spirit as that of UML, for MAS methodologies. Our goal is to make MAS design and development more systematic and to contribute to the standardisation of MAS methodologies and platforms.
Applying Dynamic Analysis in a Legacy Context: An Industrial Experience Report

This paper describes our experiences with applying dynamic analysis solutions with the help of Aspect Orientation (AO) on an industrial legacy application written in C. The purpose of this position paper is two-fold: (1) we want to show that the use of Aspect Orientation to perform dynamic analysis is particularly suited for legacy environments and (2) we want to share our experiences concerning some typical pitfalls when applying any reverse engineering technique on a legacy codebase.
Research on sliding mode variable structure rotational speed observer used in PMSM-DTC

Considering large volume, high cost and low reliability caused by the existence of mechanical sensor in the control system of permanent magnet synchronous motor(PMSM), this paper designed a speed observer instead of mechanical speed sensor based on sliding mode variable structure theory to realize speed sensor-less control of PMSM. Because accurate values of motor voltage and current were needed for sliding mode observer in estimation of rotor position and speed, the SVPWM modulation method was adopted. Simulation and experiments were performed on the basis of system model, and the results indicated that the DTC of PMSM speed sensor-less control based on sliding mode variable structure could significantly reduce the fluctuation of motor torque, flux linkage and current ripple. Besides it had better dynamic and static performance.
Image watermarking within the construction of wavelet filters

We propose a wavelet-based watermarking scheme by dynamically constructing the filters embedded within the watermark as well as the potential of the private key patterns associated with the individual images. This scheme explores the watermark dissemination in a non-traditional dimension, allows the dual purpose of the embedded data as either watermarks or private keys, and offers an additional analysis and optimization through the dynamic filter choices. The watermark detection and robustness are also investigated to include the defense against noises, cropping, distortions, and includes the non-availability of the original images at the detections.
Iris Recognition Using Single Feature Vector

In this paper, an efficient method for personal identification based on the pattern of human iris is proposed. The system initially detects boundaries of iris, and then unwraps it into rectangular strip. A single vector is obtained corresponding to maximum eigen value and it is used as distinct feature of the iris. In the next step training is done and recognition decision is carried out by comparing the Euclidean distances with other feature vectors which determine whether two irises are similar or not. The results show that the success rate of the proposed method is 95.91%.
High-Resolution Quantitative Trait Locus Analysis Reveals Multiple Diabetes Susceptibility Loci Mapped to Intervals <800 kb in the Species-Conserved Niddm1i of the GK Rat

Niddm1i, a 16-Mb locus within the major diabetes QTL in the diabetic GK rat, causes impaired glucose tolerance in the congenic NIDDM1I strain. Niddm1i is homologous to both human and mouse regions linked with type 2 diabetes susceptibility. We employed multiple QTL analyses of congenic F2 progeny selected for one recombination event within Niddm1i combined with characterization of subcongenic strains. Fine mapping located one hyperglycemia locus within 700 kb (Niddm1i4, P = 5 × 10−6). Two adjacent loci were also detected, and the GK allele at Niddm1i2 (500 kb) showed a glucose-raising effect, whereas it had a glucose-lowering effect at Niddm1i3 (400 kb). Most proximally, Niddm1i1 (800 kb) affecting body weight was identified. Experimental data from subcongenics supported the four loci. Sorcs1, one of the two known diabetes susceptibility genes in the region, resides within Niddm1i3, while Tcf7l2 maps outside all four loci. Multiple-marker QTL analysis incorporating the effect of cosegregating QTL as cofactors together with genetically selected progeny can remarkably enhance resolution of QTL. The data demonstrate that the species-conserved Niddm1i is a composite of at least four QTL affecting type 2 diabetes susceptibility and that two adjacent QTL (Niddm1i2GK and Niddm1i3GK) act in opposite directions.