Miracle-dz/UniFAR-FTUs huggingface dataset:
3D Display Rendering Acceleration Using Occlusion Camera Reference Images

—volumetric 3D displays are an emerging technology that allows the user to explore a 3D scene free of joysticks, keyboards, goggles, or trackers. For non-trivial scenes, computing and transferring a 3D image to the display takes hundreds of seconds, which is a serious bottleneck for many applications. We propose to represent the 3D scene with an occlusion camera reference image (OCRI). The OCRI is a compact scene representation that stores only and all scene samples that are visible from a viewing volume centered at a reference viewpoint. The OCRI is constructed efficiently, with the help of graphics hardware. The OCRI enables computing and transferring the 3D image an order of magnitude faster than when the entire scene is processed. The OCRI has a single-layer, thus it maintains the regular depth image advantages of bounded cost, inexpensive incremental processing, and implicit connectivity. Unlike regular depth images, the OCRI also stores samples that are not visible in the reference view, but are likely to become visible in adjacent views. These samples prevent disocclusion errors. The OCRI approach can be readily applied to several volumetric display technologies; we have tested the OCRI approach with good results on a volumetric display that creates the 3D image by projecting 2D slices of the scene on a rotating screen.
An Efficient Concealment Searching Model in P2P Network

Abstract With the development of application of the peer-to-peer networks, the problem of the privacy preservation has aroused extensive concern. Though many previous researches have focused on the realization of the anonymous communications, these anonymous technologies usually need complex structures which increase the cost of maintenance and the difficulty of management, and prolong the transmission delay. Aimed at the privacy preservation of searching content in P2P network, especially the network without searching server, a concealment searching model based on one-way function and Soundex algorithm is proposed. It can protect searching content of peers and resist attacks of snooping, replay, disguise and so on, meanwhile the model support accurate search and fuzzy search. According to the analysis, this concealment searching model achieves relatively high security as well as searching effectively.
Dialog-Act Recognition Using Discourse and Sentence Structure Information

Automatic recognition of Dialog-act (DA) is one of the most important processes in understanding spontaneous dialog. Most existing studies have been working on how to use various classifying methods in DA recognition; meanwhile, less attention has been paid to feature selection specifically. This paper introduces several textual features for DA recognizing, and proposes a novel usage for sentence structure features. Especially, this paper investigates the effect of discourse structure features in DA recognition, which are little studied before. The experimental results on both Chinese corpus and English Corpus show the selected features and feature combination rules significantly improve the overall performance. The accuracy of DA recognition rises from 77.05% to 88.21% on Chinese corpus, and from 59.08% to 64.92% as well on English corpus.
SreA-mediated iron regulation in Aspergillus fumigatus

Aspergillus fumigatus, the most common airborne fungal pathogen of humans, employs two high‐affinity iron uptake systems: iron uptake mediated by the extracellular siderophore triacetylfusarinine C and reductive iron assimilation. Furthermore, A. fumigatus utilizes two intracellular siderophores, ferricrocin and hydroxyferricrocin, to store iron. Siderophore biosynthesis, which is essential for virulence, is repressed by iron. Here we show that this control is mediated by the GATA factor SreA. During iron‐replete conditions, SreA deficiency partially derepressed synthesis of triacetylfusarinine C and uptake of iron resulting in increased cellular accumulation of both iron and ferricrocin. Genome‐wide DNA microarray analysis identified 49 genes that are repressed by iron in an SreA‐dependent manner. This gene set, termed SreA regulon, includes all known genes involved in iron acquisition, putative novel siderophore biosynthetic genes, and also genes not directly linked to iron metabolism. SreA deficiency also caused upregulation of iron‐dependent and antioxidative pathways, probably due to the increased iron content and iron‐mediated oxidative stress. Consistently, the sreA disruption mutant displayed increased sensitivity to iron, menadion and phleomycin but retained wild‐type virulence in a mouse model. As all detrimental effects of sreA disruption are restricted to iron‐replete conditions these data underscore that A. fumigatus faces iron‐depleted conditions during infection.
European Journal of Physical Education and Sport Science-2501-1235

The objective of this study is the determination and comparison of the body composition and somatotypes of the elite level Turkish and foreign taekwondo athletes. Totally 93 taekwondo athletes, being 45 Turkish (27 male, 18 female) and 48 foreign (35 male, 13 female) in the age range of 17-27, taking part in the national teams of their countries participated in the study. Sportive ages, heights, body weights, body mass index, body fat percentages, and somatotype of taekwondo players were determined. The difference between the groups was analyzed by t test in independent groups. The analyses were conducted in the SPSS 16.0 package program and 0,05 was accepted as a significance level. No significant difference was determined between Turkish and foreign athletes in all the measured variables in the male and female athletes (p>0.05). It was determined in the study that Turkish male athletes were mesomorph-ectomorph and that of foreign male athletes were mesomorphic ectomorph, and that of Turkish and foreign female athletes were central. As a result, we can say that the Turkish and foreign national team taekwondo players have similar body composition and somatotype.
The Effect of Sleep Quality on the Development of Type 2 Diabetes in Primary Care Patients

Sleep has important effects on physical and mental health, and sleep disorders are associated with increased mortality and morbidity. This study was conducted to evaluate the relationship between sleep duration or sleep quality and the risk of type 2 diabetes. The FACTS (FAmily CohorT Study in primary care) was established to investigate the relations between familial environment and health which was conducted at 22 family medicine outpatient clinics in general hospitals. Total 563 patients without diabetes who received ≥1 year follow-up examination were included in the analysis. We used the Pittsburgh Sleep Quality Index to determine sleep quality, and a score of ≥5 was considered to define poor sleep quality. Patients taking oral hypoglycemic agents, having a fasting glucose level of >126 mg/dL, or diagnosed with diabetes by physicians were classified as having diabetes. The median follow-up period was 2.5 years. Poor sleep quality was associated with a higher risk of diabetes after adjusting for age, sex, body mass index, income, physical activity, and family history of diabetes (relative risk=2.64; 95% confidence interval, 1.03-6.78). As a risk factor for the development of diabetes, poor sleep quality may independently increase the incidence of diabetes.
An interactive scalable multimedia streaming scheme for VBR-encoded videos

The standard frame sequence of an MPEG encoded video stream is suitable for normal playback. However, its inter-frame dependency makes it difficult to use it for interactive playback modes, such as play backward, jump or fast forward/backward. A scalable streaming system is required to serve videos to a large number of clients and it should share a single server stream among many clients. However, different interactive clients generally ask for different playback sequences. Hence, their streams cannot be grouped and served together by a single server stream. Therefore, as the frequency of interaction increases, an ordinary scalable streaming service becomes a non-scalable service. In this paper, we have proposed an improved proxy-based streaming scheme over the Internet. We have used video segmentation and hybrid temporal-data-partition scalable video encoding to create suitable playback sequence for interactive playback modes. We have used prefix and smoothing buffers at the proxy to make our scheme scalable. Simulation results show that our streaming scheme remains fully scalable even when all the clients are highly interactive. By using certain part of the available server-proxy network bandwidth and proxy buffers, our streaming scheme can support large numbers of clients. As the level of interaction increases the relative bandwidth and the buffer requirement decreases.
Spectroscopy and kinematics of low-mass members of young moving groups

We study a target sample of 68 low-mass objects (with spectral types in the range M4.5-L1) previously selected via photometric and astrometric criteria, as possible members of five young moving groups: the Local Association (Pleiades moving group, age = 20-150 Myr), the Ursa Mayor group (Sirius supercluster, age = 300 Myr), the Hyades supercluster (age = 600 Myr), IC 2391 supercluster (age = 35-55 Myr) and the Castor moving group (age = 200 Myr). In this paper, we assess their membership by using different kinematic and spectroscopic criteria. We use high-resolution echelle spectroscopic observations of the sample to measure accurate radial velocities. Distances are calculated and compared to those of the moving group from the literature, we also calculate the kinematic Galactic components (U, V, W) of the candidate members and apply kinematic criterion of membership to each group. In addition, we measure rotational velocities (v sin i) to place further constraints on membership of kinematic members. We find that 49 targets have young disc kinematics and that 36 of them possibly belong to one of our five moving groups. From the young disc target objects, 31 have rotational velocities in agreement with them belonging to the young disc population. We also find that one of our moving group candidates, 2MASS0123-3610, is a low-mass double lined spectroscopic binary, with probable spectral types around M7.
Improving Exfiltration from BMPs : Research and Recommendations

The latest research on stormwater practices and their construction indicates that innovative construction methods can reduce soil compaction and enhance exfiltration from bioretention cells and permeable pavement. In this publication, we summarize the current research and describe construction methods that developers can use to more effectively meet the goals of low impact development and stormwater management.
Exploiting known vulnerabilities of a smart thermostat

We address security vulnerabilities for a smart thermostat. As this kind of smart appliance is adopted in homes around the world, every user will be opening up a new avenue for cyber attack. Since these devices have known vulnerabilities and they are being managed by non-technical users, we anticipate that smart thermostats are likely to be targetted by unsophisticated attackers relying on publicly available exploits to take advantage of weakly protected devices. As such, in this paper, we take the role of a ‘script kiddy’ and we assess the security of a smart thermostat by using Internet resources for attacks at both the physical level and the network level. We demonstrate that such attacks are unlikely to be effective without some additional social engineering to obtain user credentials. Moreover, we suggest that the vulnerability to attack can be further minimized by simply reducing the use of remote storage where possible.
Narrative Identities and the Egalitarian Norm Among Hungarian Elite Couples

Our article aims to study the attitudes of the elite to family life and gender equality. This is a social group who still experiences significant gender imbalances. We focus on attitudes to family life, which has thus far been underresearched in elite literature. With the help of the analysis of 34 individual interviews with members of the Hungarian political, economic, and cultural elite, we identify and present three types of narrative identities: dominant, deferential, and egalitarian. The main finding from our qualitative content analysis is that egalitarian partnership norms which were discussed in every narrative and gender equality appear in most cases as a norm among the elite. However, there is a narrative tension between this norm and the couples’ actual experiences of their family life. We conclude our article with some comments on how the ideology of egalitarian essentialism strengthens gender inequalities reinforcing the underrepresentation of women in elite positions.
TEO: FULL-SIZE HUMANOID ROBOT DESIGN POWERED BY A FUEL CELL SYSTEM

This article deals with the design of the full-size humanoid robot TEO, an improved version of its predecessor Rh-1. The whole platform is conceived under the premise of high efficiency in terms of energy consumption and optimization. We will focus mainly on the electromechanical structure of the lower part of the prototype, which is the main component demanding energy during motion. The dimensions and weight of the robotic platform, together with its link configuration and rigidity, will be optimized. Experimental results are presented to show the validity of the design.
Eigenstructure Decoupling in State Feedback Control Design

The presented design method aim is to synthesize a state feedback control law in such way that with respect to the prescribed eigenvalues of the closed-loop system matrix the corresponding eigenvectors are as close as possible to a decoupled system eigenvectors. It is demonstrated that some degree of freedom existing in the control design, representing by the parametric vectors set as well as by the set of closed-loop eigenvalues, can be properly used to meet some desired specification requirement. An illustrative example and the simulation results show that the proposed design principle is effective and simple
Darkode: Recruitment Patterns and Transactional Features of “the Most Dangerous Cybercrime Forum in the World”

This article explores the social and market dynamics of Darkode, an invitation-only cybercrime forum that was dismantled by the FBI in July 2015 and was described by a U.S. Attorney as “the most sophisticated English-speaking forum for criminal computer hackers in the world. ” Based on a leaked database of 4,788 discussion threads, we examine the selection process through which 344 potential new members introduced themselves to the community in order to be accepted into this exclusive group. Using a qualitative approach, we attempt to assess whether this rigorous procedure significantly enhanced the trust between traders, and therefore, contributed to the efficiency of this online illicit marketplace. We find that trust remained elusive and interactions were often fraught with suspicion and accusations. Even hackers who were considered successful faced significant challenges in trying to profit from the sale of malicious software and stolen data.
Optimized channel coding schemes for a guard period free transmission system

Guard periods are widely used to avoid inter block interference in wireless communication systems. The independent processing of each data block enables computational efficient data estimation, however, the necessary insertion of guard periods produces a transmission overhead and reduces the throughput of the respective transmission system. By using overlapping techniques a block-wise data estimation can be realized without using guard periods. With this modification, either the throughput of the system can be increased or the code rate of the forward error correction code can be reduced. Based on the latter option we will propose two optimized channel coding schemes for the overlapping based system. The first uses a reduced code rate while the second exploits the characteristic error distribution of the overlapping based data estimator. The bit error performance of the resulting transmission systems is finally compared to a common cyclic prefix based transmission system.
Damping of low-frequency oscillations using Takagi-Sugeno Fuzzy stabilizer in real-time

A new methodology for the implementation of a power system model for damping low-frequency oscillations in field programmable gate array (FPGA)-based real-time simulator is proposed. The continuous form of the model is converted to discrete-time domain model, and then reduced to block diagrams involving the delay operators and gains for the implementation in the FPGA. The hardware implementation of a power system stabilizer (PSS) to control the system is also introduced using FPGA. The real-time implementation of the proposed approach in an FPGA is described. To verify the effectiveness of the proposed FPGA-based simulator, a single machine infinite bus system (SMIB) is tested with the stabilizer under different operating conditions. Results show the capability of implementing the power system with the stabilizer in an FPGA. Additionally, very short time and constant computation time per simulation time-step are established.
“Reversing the trend”: The role of mentoring in offender reentry

ABSTRACT Faith-based programs are becoming more common in corrections, with most research examining offenders. Little attention has been paid to volunteers who work with offenders within these programs. In this project, 40 mentors who volunteered with a faith-based diversion and reentry program in southwestern Indiana were interviewed. Mentors revealed strong desires to help others, with religiosity driving their motivation to work with ex-offenders. Based on their mentoring experiences, mentors stated they were more sympathetic and their perspectives of ex-offenders and the conditions leading to crime had changed, including an increased awareness of problems related to reentry like housing, employment needs, and substance abuse.
Visual Attention among Patients with Schizophrenia: A Study of Visual Span and Selectivity in Visual Search

Attention is one of the most impaired cognitive functions in schizophrenia; however, the precise mechanisms underlying schizophrenia-related attention impairment are unclear. Progress in identifying these mechanisms has been hampered by using methods that are not designed to isolate specific cognitive processes. The purpose of the present dissertation was to investigate visual attention among patients with schizophrenia using the visual search paradigm — the dominant paradigm for studying attention in the cognitive sciences. Moreover, the current study used eye-tracking methodology to more finely examine the mechanisms underlying impaired visual search in this clinical population. This dissertation had three main objectives: (1) to investigate whether patients with schizophrenia have smaller and/or less dynamic visual spans, (2) to examine whether certain mechanisms guiding the visual selection of objects are impaired in schizophrenia, and (3) to determine the contribution of visual search performance to substitution test performance. Results indicated that patients’ visual spans are both
Interactive user experience - Effects of augmented reality on consumer psychology and behavior

The saturation of traditional forms for advertising in consumers’ everyday lives has led to a gradual loss of the predominance of publicity. In search for innovative and original ways to captivate user’s attention, recently many brands have adopted Augmented Reality (AR) in their advertising campaigns. Most of the campaigns, using the technology, rely on an experiential approach concentrating not only on a brand’s product or service, but also on an entire experience created especially for the consumer. With AR a consumer can test a product interactively through a 3D representation in real time, possibly achieving deeper brand engagement or even undertaking an action to purchase. This thesis produced a systematic investigation of the effectiveness of three separate digital shopping platforms, namely a Purely Interactive, an AR Markerbased and an AR Markerless systems. The three platforms were developed to be used for testing in an experimental setting. Consumers’ cognitive responses were assessed through an empirical examination through the constructs of Innovativeness adoption, Emotions, Information seeking, Perceived risk, Arousal, Responsiveness, Perceived interface aesthetics, Usability, Organization, Fun, Boring and Brand personality. The degree of elevated purchase intent was registered and compared across the three platforms according to outcomes from participants’ cognitive responses and their evaluations of the technological properties of the systems. Although not all of the hypotheses were accepted, results indicate that differences among the effects of the three tested systems do exist, particularly between the interactive and augmented reality solutions. Thus, it is maintained that AR systems may serve as an acceptable alternative of consumer “direct experience” with a product in order to make an impact on the user.
Environmental Effects of Dark Matter Halos: The Clustering-Substructure Relation of Group-Size Halos

We estimate the two-point correlation function of dark matter halos, with masses ≥1013 h-1 M☉, that have or do not have significant substructure. The halos are identified with a friends-of-friends algorithm in a large ΛCDM simulation at two redshift snapshots (z = 0.0 and 1.0), while halo substructure is determined using an observationally driven method. We find in both epochs a clear and significant signal by which halos with substructure are more clustered than those with no substructure. This is true for all the considered halo mass ranges, although for the highest halo masses the signal is noisy and present only out to ~20 h-1 Mpc. There is also a smooth increase of the halo correlation length with increasing amplitude of the halo substructure. We also find that substructured halos are typically located in high-density large-scale environments, while the opposite is true for nonsubstructured halos. If the halos found in high-density regions have a relatively earlier formation time, as suggested by recent works, then they do indeed have more time to cluster than halos of a similar mass, which form later in the low-density regions. In such a case, one would have naively expected that the former (earlier formed) halos would typically be dynamically more relaxed than the latter (later formed). However, the higher merging and interaction rate, expected in high-density regions, could disrupt their relatively relaxed dynamical state and thus be the cause for the higher fraction of halos with substructure found in such regions.
Residual-life distributions from component degradation signals: A Bayesian approach

Real-time condition monitoring is becoming an important tool in maintenance decision-making. Condition monitoring is the process of collecting real-time sensor information from a functioning device in order to reason about the health of the device. To make effective use of condition information, it is useful to characterize a device degradation signal, a quantity computed from condition information that captures the current state of the device and provides information on how that condition is likely to evolve in the future. If properly modeled, the degradation signal can be used to compute a residual-life distribution for the device being monitored, which can then be used in decision models. In this work, we develop Bayesian updating methods that use real-time condition monitoring information to update the stochastic parameters of exponential degradation models. We use these degradation models to develop a closed-form residual-life distribution for the monitored device. Finally, we apply these degradation and residual-life models to degradation signals obtained through the accelerated testing of bearings.