Miracle-dz/UniFAR-FTUs huggingface dataset:
Direction estimation using compressive sampling array processing

We propose a new architecture, the compressive sampling (CS) array, for array based applications, by exploiting compressive sampling in the spatial domain. With random projections (or selections) of the array elements, we can transform a large size array into a small size array. We also propose two approaches of direction-of-arrival (DoA) estimation using our CS array, I. (joint) CS recovery, and II. CS beamformers. As a result we can greatly reduce the hardware complexity and software complexity while still maintaining the high resolution achieved as if a large size array were used.
New Method for Sentiment Classification for Short Text

With the rapid development of the Internet, the microblog platform, BBS, e-Commerce etc. gathered a lot of short messages/text, which contained subjective sentences. These sentences often had obvious inclination which reflected the sentiment of the author. By mining the author’s sentiment, such as like, angry, indignation, averseness, etc., we can analyze people’s opinion for some policy, people’s preferences for some commodities. So, in this paper, we proposed a new method for sentiment classification by combination of several machine learning algorithms, which included feature extraction and ontologies. The further optimization was also given in this paper. We evaluated our method on several datasets and achieved good results.
Multitarget tracking algorithms using angle innovations and extended Kalman filter

In this paper, we propose a novel angle tracking algorithm, called as FPAT, for tracking multiple narrowband targets. The proposed algorithm modifies the algorithm presented by Park, et al. in two ways by using the sensor array output vector rather than the sample covariance matrix and by incorporating the extended Kalman filter instead of a simple Kalman filter. It also applies the prediction characteristic of Kalman filter to prevent the data association problem. The proposed algorithm requires lower computational complexity and also improves the tracking performance especially at lower number of snapshots. Combined with the coherent signal-subspace (CSS) method, the FPAT algorithm is extended to track the direction-of-arrival angles of wideband sources. We also extend the FPAT algorithm to track the range, azimuth, and elevation of each narrowband source in 3-D space. Through computer simulations, the effectiveness of each proposed algorithm is verified.
Scheduling for Fairness : Fair Queueing and CSFQ !

I nthe last lecture, we discussed two ways in which routers can help in congestion control: by signaling congestion, using either packet drops or marks (e.g., ECN), and by cleverly managing its buffers (e.g., using an active queue management scheme like RED). Today, we turn to the third way in which routers can assist in congestion control: scheduling. Specifically, we will first study a particular form of scheduling, called fair queueing (FQ) that achieves (weighted) fair allocation of bandwidth between flows (or between whatever traffic aggregates one chooses to distinguish between.1 While FQ achieves weighted-fair bandwidth allocations, it requires per-flow queueing and per-flow state in each router in the network. This is often prohibitively expensive. We will also study another scheme, called core-stateless fair queueing (CSFQ), which displays an interesting design where “edge” routers maintain per-flow state whereas “core” routers do not. They use their own nonper-flow state complimented with some information reaching them in packet headers (placed by the edge routers) to implement fair allocations. Strictly speaking, CSFQ is not a scheduling mechanism, but a way to achieve fair bandwidth allocation using differential packet dropping. But because it attempts to emulate fair queueing, it’s best to discuss the scheme in conjuction with fair queueing. The notes for this lecture are based on two papers:
Scheduling resources in multi-user, heterogeneous, computing environments with SmartNet

It is increasingly common for computer users to have access to several computers on a network, and hence to be able to execute many of their tasks on any of several computers. The choice of which computers execute which tasks is commonly determined by users based on a knowledge of computer speeds for each task and the current load on each computer. A number of task scheduling systems have been developed that balance the load of the computers on the network, but such systems tend to minimize the idle time of the computers rather than minimize the idle time of the users. The paper focuses on the benefits that can be achieved when the scheduling system considers both the computer availabilities and the performance of each task on each computer. The SmartNet resource scheduling system is described and compared to two different resource allocation strategies: load balancing and user directed assignment. Results are presented where the operation of hundreds of different networks of computers running thousands of different mixes of tasks are simulated in a batch environment. These results indicate that, for the computer environments simulated, SmartNet outperforms both load balancing and user directed assignments, based on the maximum time users must wait for their tasks to finish.
RB1 is the crucial target of the Merkel cell polyomavirus Large T antigen in Merkel cell carcinoma cells

The pocket protein (PP) family consists of the three members RB1, p107 and p130 all possessing tumor suppressive properties. Indeed, the PPs jointly control the G1/S transition mainly by inhibiting E2F transcription factors. Notably, several viral oncoproteins are capable of binding and inhibiting PPs. Merkel cell polyomavirus (MCPyV) is considered as etiological factor for Merkel cell carcinoma (MCC) with expression of the viral Large T antigen (LT) harboring an intact PP binding domain being required for proliferation of most MCC cells. Therefore, we analyzed the interaction of MCPyV-LT with the PPs. Co-IP experiments indicate that MCPyV-LT binds potently only to RB1. Moreover, MCPyV-LT knockdown-induced growth arrest in MCC cells can be rescued by knockdown of RB1, but not by p107 or p130 knockdown. Accordingly, cell cycle arrest and E2F target gene repression mediated by the single PPs can only in the case of RB1 be significantly reverted by MCPyV-LT expression. Moreover, data from an MCC patient indicate that loss of RB1 rendered the MCPyV-positive MCC cells LT independent. Thus, our results suggest that RB1 is the dominant tumor suppressor PP in MCC, and that inactivation of RB1 by MCPyV-LT is largely sufficient for its growth supporting function in established MCPyV-positive MCC cells.
Using FIFA Soccer video game data for soccer analytics

Soccer has become the most popular sport in the world over the last century, but very little is known about its structure. One of the main reasons for that is the lack of a large-scale dataset. Despite the sport being constantly discussed and recorded worldwide, in every season there are several events that neither specialists nor fans can characterize or predict accurately. In this paper, we propose the use of a new dataset, the FIFA Soccer video game dataset, to better understand soccer. We describe the available data, justify its use and discuss possible applications. Finally, we show the potential of the dataset by analyzing two recent widely discussed topics, the contrast between the Brazilian and German National teams in 2014 and FC Barcelona’s distinguished style in the 2012/13 season.
Combining Graphical and Formal Specification: the Software Bus Case Study

Institute for Energy Technology, Halden, Norway,email: {wenhuiz, demissie}@hrp.noAbstractA speciﬁcation of a software system involves several aspects. Two es-sential aspects are convenience in speciﬁcation and possibility for formalanalysis. These aspects are, to some extent, exclusive. This paper de-scribes an approach to the speciﬁcation of systems that emphasizes bothaspects, by combining UML with a language for description of the ob-servable behavior of object viewpoints, OUN. Whereas both languagesare centered around object-oriented concepts, they are complementary inthe sense that one is graphical and semi-formal while the other is textualand formal. The approach is demonstrated by a case study, focusing onthe speciﬁcation of an open communication infrastructure. In this pa-per, emphasis is placed on speciﬁcation aspects. Veriﬁcation aspects arediscussed brieﬂy at the end of the paper.
PORTRAIT PSYCHOLOGIQUE ET SOCIAL DE MÈRES INDIENNES RÉFUGIÉES : LES ENJEUX LIÉS À L’ATTACHEMENT DE L’ENFANT

L’objectif de cet article utilisant une lunette qualitative a partir de mesures quantitatives est de dresser le portrait de quatre meres Indiennes refugiees vivant un stress migratoire eleve et de presenter les consequences liees a l’attachement de l’enfant. Les resultats indiquent des niveaux cliniques d’anxiete et de depression ainsi qu’un soutien social variable selon la source de soutien. Chez l’enfant, la securite d’attachement est faible, il y a absence de comportements evitants et la prevalence de comportements ambivalents et desorganises est elevee. Les resultats suggerent que des approches qui misent sur un soutien de la dyade mere-enfant pourraient etre appropriees pour ces femmes.
Dynamic Interaction between Manipulator and Omni-Directional Platform

Recent advancements in mechatronics has led to tremendous development of application of robots for industrial applications involving high health hazards, rough working conditions and difficult to reach locations. Robot assisted welding is one such high risk operation for human being. The industrial arc welding robots are either mounted on the floor, table or on overhead rails. In this scenario, the jobs to be welded are brought to shop floor. However, the on-sight joining of big pipes and structures with precision and speed, demands for mobility of welding robot. In this research work, a novel concept of mounting 5-dof welding robot on the omni-directional platform (Omni-WMR) is implemented to provides immense maneuvering mobility to the manipulator. This paper presents the combined dynamic model of omnidirectional mobile robot for welding operation to study the effect of dynamic interaction between manipulator and mobile platform. Dynamic interaction is carried out to find the variation in torque at manipulator link due to the motion of platform as well as its location on the platform. In addition, the variation in torque developed at platform wheels due to positioning the manipulator at two different locations on platform is accessed. For this, two case studies have been discussed to study the effect of dynamic interaction between manipulator and omni-directional platform.
Shoulder surfing defence for recall-based graphical passwords

Graphical passwords are often considered prone to shoulder-surfing attacks, where attackers can steal a user's password by peeking over his or her shoulder in the authentication process. In this paper, we explore shoulder surfing defence for recall-based graphical password systems such as Draw-A-Secret and Background Draw-A-Secret, where users doodle their passwords (i.e. secrets) on a drawing grid. We propose three innovative shoulder surfing defence techniques, and conduct two separate controlled laboratory experiments to evaluate both security and usability perspectives of the proposed techniques. One technique was expected to work to some extent theoretically, but it turned out to provide little protection. One technique provided the best overall shoulder surfing defence, but also caused some usability challenges. The other technique achieved reasonable shoulder surfing defence and good usability simultaneously, a good balance which the two other techniques did not achieve. Our results appear to be also relevant to other graphical password systems such as Pass-Go.
A study relating Erikson's concept of identity confusion to effectiveness of psychosocial functioning.

The purpose of the present investigation was to study the relation­ ship of Erikson's concept of identity confusion to psychosocial adjust­ ment in late adolescence. Two groups of 10 subjects were selected to represent different points on a continuum of psychosocial adaptation. Qualitative data was secured by means of a recorded semi-structured interview and rated on the basis of four rating categories developed by the researcher as derivatives of the four features of identity confusion as described by Erikson, Results supported the hypothesis for one of the four dimensions investigated; Choice of Negative Identity, Suggestions for procedural improvements in future research were presented. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
Stable formation of groups of robots via synchronization

In this paper, we consider a problem of formation control for two teams of robots. Synchronization inside each team, intra-group, and between the two teams, inter-group, are important in applications where robots belonging to different teams need to coordinate to perform a given task. We are motivated by the work reported in [1] in which a group of planar agents is driven into a special case of phase balancing known as splay state, i.e., a circular formation with equally spaced phases among the robots in the team. In this paper, we are interested in achieving not only splay state but also phase alignment between the agents in the two groups. We formally analyze the stability of the desired intra-group and inter-group phase configuration state. Simulation and experimental results employing a team of terrestrial robots and a team of rotorcraft aerial platforms verify the validity of the proposed coordination strategy.
Combenefit: an interactive platform for the analysis and visualization of drug combinations

Motivation: Many drug combinations are routinely assessed to identify synergistic interactions in the attempt to develop novel treatment strategies. Appropriate software is required to analyze the results of these studies. Results: We present Combenefit, new free software tool that enables the visualization, analysis and quantification of drug combination effects in terms of synergy and/or antagonism. Data from combinations assays can be processed using classical Synergy models (Loewe, Bliss, HSA), as single experiments or in batch for High Throughput Screens. This user-friendly tool provides laboratory scientists with an easy and systematic way to analyze their data. The companion package provides bioinformaticians with critical implementations of routines enabling the processing of combination data. Availability and Implementation: Combenefit is provided as a Matlab package but also as standalone software for Windows (http://sourceforge.net/projects/combenefit/). Contact: Giovanni.DiVeroli@cruk.cam. ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
Critical path analysis of two-channel interleaved digital MASH ΔΣ modulators

Implementation of wireless wideband transmitters using ΔΣ DACs requires very high speed modulators. Digital MASH ΔΣ modulators are good candidates for speed enhancement using interleaving because they require only adders and can be cascaded. This paper presents an analysis of the integrator critical path of two-channel interleaved ΔΣ modulators. The bottlenecks for a high-speed operation are identified and the performance of different logic styles is compared. Static combinational logic shows the best trade-off and potential for use in such high speed modulators. A prototype 12-bit second order MASH ΔΣ modulator designed in 65 nm CMOS technology based on this study achieves 9 GHz operation at 1 V supply.
Transcriptional Derepression Uncovers Cryptic Higher-Order Genetic Interactions

Disruption of certain genes can reveal cryptic genetic variants that do not typically show phenotypic effects. Because this phenomenon, which is referred to as ‘phenotypic capacitance’, is a potential source of trait variation and disease risk, it is important to understand how it arises at the genetic and molecular levels. Here, we use a cryptic colony morphology trait that segregates in a yeast cross to explore the mechanisms underlying phenotypic capacitance. We find that the colony trait is expressed when a mutation in IRA2, a negative regulator of the Ras pathway, co-occurs with specific combinations of cryptic variants in six genes. Four of these genes encode transcription factors that act downstream of the Ras pathway, indicating that the phenotype involves genetically complex changes in the transcriptional regulation of Ras targets. We provide evidence that the IRA2 mutation reveals the phenotypic effects of the cryptic variants by disrupting the transcriptional silencing of one or more genes that contribute to the trait. Supporting this role for the IRA2 mutation, deletion of SFL1, a repressor that acts downstream of the Ras pathway, also reveals the phenotype, largely due to the same cryptic variants that were detected in the IRA2 mutant cross. Our results illustrate how higher-order genetic interactions among mutations and cryptic variants can result in phenotypic capacitance in specific genetic backgrounds, and suggests these interactions might reflect genetically complex changes in gene expression that are usually suppressed by negative regulation.
Architectural freeform structures from single curved panels

The problem of covering a freeform surface by single curved panels can be treated with the concept of semi-discrete surface representations, which constitute a link between smooth and discrete surfaces. A surface composed from developable strips (called a D-strip model) is the semi-discrete equivalent of a quad mesh with planar faces, or a conjugate parametrization of a smooth surface. Using recent progress on the geometry and computation of D-strip models, we investigate their use for the segmentation into panels, for multi-layer constructions and for the supporting beam layout and manufacturing in architectural freeform structures.
Advanced Quality of Service (aqos): An overlay network mechanism to improve service delivery

This paper proposes a mechanism which allows extending IMS service delivery on the Internet using overlay networks. Dubbed Advanced Quality of Service (AQoS), this solution aims at dynamically providing alternate high-bandwidth routes on the Internet using overlay network measurements to improve connection QoS. The estimation of the achievable QoS in the overlay network makes it possible to adapt IMS service delivery.
Effects of Visual Vividness and Navigation Modes on Perception of Presence in Virtual Museums

Visual vividness and navigation mode are essential factors in designing of virtual museums. Using a virtual museum system as experimental materials, with the multi-dimensional subjective evaluation questionnaires on presence, the relationship between the two factors visual vividness and navigation mode of virtual museums and users' perception of presence was studied. The research results show that higher visual vividness significantly enhances the sense of spatial presence, involvement and realness. The differences of users' navigation mode also significantly affect users' spatial presence and involvement to system, where active navigation mode has more advantages. While there is no significant difference in evaluation of users' realness whether users actively control the system or passively view the 3D animation.
Joint multi-feature spatial context for scene recognition in the semantic manifold

In the semantic multinomial framework patches and images are modeled as points in a semantic probability simplex. Patch theme models are learned resorting to weak supervision via image labels, which leads the problem of scene categories co-occurring in this semantic space. Fortunately, each category has its own co-occurrence patterns that are consistent across the images in that category. Thus, discovering and modeling these patterns is critical to improve the recognition performance in this representation. In this paper, we observe that not only global co-occurrences at the image-level are important, but also different regions have different category co-occurrence patterns. We exploit local contextual relations to address the problem of discovering consistent co-occurrence patterns and removing noisy ones. Our hypothesis is that a less noisy semantic representation, would greatly help the classifier to model consistent co-occurrences and discriminate better between scene categories. An important advantage of modeling features in a semantic space is that this space is feature independent. Thus, we can combine multiple features and spatial neighbors in the same common space, and formulate the problem as minimizing a context-dependent energy. Experimental results show that exploiting different types of contextual relations consistently improves the recognition accuracy. In particular, larger datasets benefit more from the proposed method, leading to very competitive performance.
Comparison of Peripheral and Central Schizophrenia Biomarker Profiles

We have recently shown that a molecular biomarker signature comprised of inflammatory, hormonal and growth factors occurs in the blood serum from first onset schizophrenia patients. Here, we use the same platform to investigate post mortem brain tissue (Brodmann area 10) from schizophrenia patients who were mainly chronically ill and drug treated. Twenty-one analytes are differentially expressed in post-mortem brain tissue. Comparison with our previous mRNA profiling studies of the same patient samples in another frontal cortical area showed that 9 of these molecules were also altered at the transcriptional level. Furthermore, 9 of the molecules were also altered in serum from living first onset schizophrenia patients compared to controls. We propose a model in which the brain and periphery are coordinated through hormones and other regulatory molecules released into the blood via the diffuse neuroendocrine system. These findings provide further evidence for the systemic nature of schizophrenia and give added validity to the concept that schizophrenia can be investigated through studies of blood-based biomarkers.
Hyaluronan-binding system for sperm selection enhances pregnancy rates in ICSI cycles associated with male factor infertility

Objectives The aim of the present study was to compare two procedures for sperm selection in ICSI cycles - conventional morphology sperm selection (ICSI-PVP) and chemical selection through Hyaluronan-treated petri dishes (PICSI), when male factor was associated. Methods The evaluated parameters were semen quality, fertilization and cleavage rates, chemical and clinical pregnancy rates, as well as abortion rate. Fifty-six ICSI cycles were included in this report, 19 cycles using PICSI and 37 using conventional ICSI. Results PICSI and ICSI showed, respectively, the following outcome: fertilization rates 71.93% (123/171) and 64.14% (127/198); cleavage rates 95.12% (117/123) and 95.27% (121/127); chemical pregnancy rates 63.15% (12/19) and 27.03% (10/37); clinical pregnancy rates 42.10% (8/19) and 16.21% (6/37); and abortion rates 33.33% (4/12) and 40.00% (4/10). According to both Fisher's Exact Test and Chi-square Test, chemical pregnancy (p = 0.05) and clinical pregnancy (p = 0.09) rates were significantly higher in the PICSI group. p values ≤ 0.05 were consider statistically significant. Conclusions The present data indicates that ICSI cycles that used the PICSI technique had a considerably higher chance (≈5 fold) to achieve pregnancy than those who had sperm selected only by morphology assessment. Teratozoospermic patients were those who benefited most with PICSI. Therefore, the technique should be included in laboratory routine with low cost, avoiding the selection of immature sperm with increased rates of peroxidation and DNA fragmentation. Prospective and randomized studies should be applied to strengthen this suggestion.