Miracle-dz/UniFAR-FTUs huggingface dataset:
An Attempt to Reconceptualise 'recovery from Work'. Stress and Health Special Issue on Recovery from Work from Recovery to Regulation an Attempt to Reconceptualise 'recovery from Work'

The concept of 'recovery' (from work) has quickly gained in importance in the Occupational Health literature. However, we think that the conceptualization of 'recovery' needs some more attention. Although many authors acknowledge that 'recovery' refers to a 'process', the concept is often treated as a static construct. In this paper we argue that recovery should be conceptualized as a dynamic construct related to changes in psycho-physiological state of the person. We refer to two main theories that have provided a theoretical framework for In particular the Effort-Recovery Model has been seminal in this area, and stresses the element of changing psycho-physiological states that has been used for reconceptualising 'recovery'. Various biological rhythms influence these changing psycho-physiological states, and thus the level of energy (or effort) a person can, or wants to mobilize. A distinction is made between 'physical fatigue' and 'mental fatigue' and its consequences for recovery. The discrepancy between 'actual state' and 'required state' has been suggested as the basis for 'recovery'. This emphasises that recovery is a dynamic and ongoing process, which also included motivational aspects, in particular as far as mental work is concerned. The capacity to maintain self-regulation of one's psycho-physiological state is important in this respect. Thus we propose that 'recovery' is: the continuous process of harmonizing the 'actual state' with the state that is 'required' at that moment.
Interrelations of patriarchal beliefs, gender, collectivism/individualism, and mental health

ABSTRACT By using web-survey data from 236 US American adults, this study examined (a) the relations of cultural orientations and patriarchal beliefs and whether these relations varied by gender and (b) the relations of patriarchal beliefs and mental health and whether these relations varied by gender and cultural orientations. As hypothesized, cultural orientations were significantly related to patriarchal beliefs. Specifically, individuals who endorsed higher (vs. lower) levels of horizontal individualism (i.e. individualism emphasizing equal relations), vertical individualism (i.e. individualism emphasizing hierarchical relations), or vertical collectivism (i.e. collectivism emphasizing hierarchical relations) indicated greater patriarchal beliefs. Men who endorsed higher (vs. lower) levels of horizontal collectivism (i.e. collectivism emphasizing equal relations) revealed lower patriarchal beliefs, which were not found among women. As hypothesized, patriarchal beliefs were related to depression. This relationship did not differ by gender but varied by cultural orientations. Patriarchal beliefs were positively associated with depression only at low levels of vertical collectivism, whereas patriarchal beliefs tended to be positively related to negative affect only at high levels of vertical individualism. Implications for research and practice were discussed.
On the empirical evidence for the existence of ultramassive white dwarfs

We re-examine the evidence for the existence of ultramassive (M > 1.1 M� ) white dwarfs based on gravitational redshift of white dwarfs in common proper motion binaries or in clusters, on parallax measurements, on orbital solutions and, finally, on the analysis of hydrogen-line profiles. We conclude that the best evidence is largely based on the analysis of Balmerline profiles although the companion to the A8V star HR 8210 is a compelling case made initially using the large binary mass function and confirmed by an analysis of the Lyman-line spectrum. The confirmation and identification of high-mass white dwarfs, more particularly non-hydrogen-rich (non-DA) white dwarfs, using parallax measurements may prove critical in establishing the population fraction of these objects and in constraining the high end of empirical initial-mass to final-mass relations. The existence of a substantial population of ultramassive white dwarfs supports the concept of a steeper initial-mass to final-mass relations
Jitter amplifier for oscillator-based true random number generator

This paper presents a jitter amplifier for oscillator-based TRNG (true random number generator). The proposed jitter amplifier fabricated in a 65nm CMOS process occupying the area of 3,300 μm2 archives 8.4× gain at 25°C and significantly improves the entropy enough to pass randomness test.
A review: Study of various techniques of Hand gesture recognition

In the past years, the recognition of gesture feature has been glamoured attention as a natural human. The communication system can build the human relationships. The mode of communication will be verbal and non-verbal. The non-verbal communication is not only used for the physically challenged person, but also used in gaming, surveying, etc. There is no need of peripheral device to interact with the computer. In this paper the various techniques are discussed to recognize the hand gesture. In today's era, the Kinect depth data is the famous research for the identification of new fingers and the recognition of hand gesture. Finally, discuss the recognition of hand gesture will applicable in many fields.
Modified DMAC Clustering Algorithm for VANETs

In this paper a new clustering algorithm for vehicular ad-hoc networks (VANET) is presented. The proposed solution is a modification of the Basagnipsilas distributed and mobility-adaptive clustering (DMAC) algorithm. Some additional conditions that have to be fulfilled before the cluster head change, are introduced to better suit the road traffic. Tests performed in the simulation environment consisting of VanetMobiSim and JiST/SWANS++ show that algorithm performs better than the original solution - the clusters stability is significantly increased.
High Performance Memory Requests Scheduling Technique for Multicore Processors

In modern computer systems, long memory latency is one of the main bottlenecks micro-architects are facing for leveraging the system performance especially for memory-intensive applications. This emphasises the importance of the memory access scheduling to efficiently utilize memory bandwidth. Moreover, in recent micro-processors, multithread and multicore is turned to be the default choice for their design. This resulted in more contention on memory. Hence, the effect of memory access scheduling schemes is more critical to the overall performance boost. Although memory access scheduling techniques have been recently proposed for performance improvement, most of them have overlooked the fairness among the running applications. Achieving both high-throughput and fairness simultaneously is challenging. In this paper, we focus on the basic idea of memory requests scheduling, which includes how to assign priorities to threads, what request should be served first, and how to achieve fairness among the running applications for multicore microprocessors. We propose two new memory access scheduling techniques FLRMR, and FIQMR. Compared to recently proposed techniques, on average, FLRMR achieves 8.64% speedup relative to LREQ algorithm, and FIQMR achieves 11.34% speedup relative to IQ-based algorithm. FLRMR outperforms the best of the other techniques by 8.1% in 8-cores workloads. Moreover, FLRMR improves fairness over LREQ by 77.2% on average.
Intakes of total fat, saturated, monounsaturated and polyunsaturated fatty acids in Irish children, teenagers and adults

Abstract Recommendations limiting the intake of total fat, SFA, MUFA and PUFA have been established in several countries with the aim of reducing the risk of chronic diseases such as CVD. Studies have shown that intakes of total fat and SFA are above desired recommended intake levels across a wide range of age and sex groups. In addition, intakes of PUFA and MUFA are often reported to be less than the desired recommended intake levels. The aims of the present paper are to provide the first data on estimates of current intakes and main food sources of SFA, MUFA and PUFA in Irish children (aged 5–12 years), teenagers (aged 13–17 years) and adults (aged 18–64 years) and to analyse compliance with current dietary recommendations. Data for this analysis were based on the North/South Ireland Food Consumption Survey (n 1379, 18–64 years), the National Children’s Food Survey (n 594, 5–12 years) and the National Teen Food Survey (n 441, 13–17 years). Results showed that SFA intakes in Irish children, teenagers and adults are high, with only 6 % of children, 11 % of teenagers and 21 % of adults in compliance with the recommended daily intake. The main food groups that contributed to SFA intakes were whole milk; fresh meat; meat products; biscuits, cakes, buns and pastries; and sugars, confectionery and preserves.
Multivariate decoding of cerebral blood flow measures in a clinical model of on‐going postsurgical pain

Recent reports of multivariate machine learning (ML) techniques have highlighted their potential use to detect prognostic and diagnostic markers of pain. However, applications to date have focussed on acute experimental nociceptive stimuli rather than clinically relevant pain states. These reports have coincided with others describing the application of arterial spin labeling (ASL) to detect changes in regional cerebral blood flow (rCBF) in patients with on‐going clinical pain. We combined these acquisition and analysis methodologies in a well‐characterized postsurgical pain model. The principal aims were (1) to assess the classification accuracy of rCBF indices acquired prior to and following surgical intervention and (2) to optimise the amount of data required to maintain accurate classification. Twenty male volunteers, requiring bilateral, lower jaw third molar extraction (TME), underwent ASL examination prior to and following individual left and right TME, representing presurgical and postsurgical states, respectively. Six ASL time points were acquired at each exam. Each ASL image was preceded by visual analogue scale assessments of alertness and subjective pain experiences. Using all data from all sessions, an independent Gaussian Process binary classifier successfully discriminated postsurgical from presurgical states with 94.73% accuracy; over 80% accuracy could be achieved using half of the data (equivalent to 15 min scan time). This work demonstrates the concept and feasibility of time‐efficient, probabilistic prediction of clinically relevant pain at the individual level. We discuss the potential of ML techniques to impact on the search for novel approaches to diagnosis, management, and treatment to complement conventional patient self‐reporting. Hum Brain Mapp 36:633–642, 2015. © 2014 The Authors. Human Brain Mapping Published by Wiley Periodicals, Inc.
High-Mass Protostellar Candidates. I. The Sample and Initial Results

We describe a systematic program aimed at identifying and characterizing candidate high-mass protostellar objects (HMPOs). Our candidate sample consists of 69 objects selected by criteria based on those established by Ramesh & Sridharan using far-infrared, radio continuum, and molecular line data. IRAS and Midcourse Space Experiment data were used to study the larger scale environments of the candidate sources and determine their total luminosities and dust temperatures. To derive the physical and chemical properties of our target regions, we observed continuum and spectral line radiation at millimeter and radio wavelengths. We imaged the free-free and dust continuum emission at wavelengths of 3.6 cm and 1.2 mm, respectively, searched for H2O and CH3OH maser emission, and observed the CO J = 2 → 1 line and several NH3 lines toward all sources in our sample. Other molecular tracers were observed in a subsample. While dust continuum emission was detected in all sources, most of them show only weak or no emission at 3.6 cm. Where detected, the centimeter emission is frequently found to be offset from the millimeter emission, indicating that the free-free and dust emissions arise from different subsources possibly belonging to the same (proto)cluster. A comparison of the luminosities derived from the centimeter emission with bolometric luminosities calculated from the IRAS far-infrared fluxes shows that the centimeter emission very likely traces the most massive source, whereas the whole cluster contributes to the far-infrared luminosity. Estimates of the accretion luminosity indicate that a significant fraction of the bolometric luminosity is still due to accretion processes. The earliest stages of HMPO evolution we seek to identify are represented by dust cores without radio emission. Line wings due to outflow activity are nearly omnipresent in the CO observations, and the molecular line data indicate the presence of hot cores for several sources, where the abundances of various molecular species are elevated because of evaporation of icy grain mantles. Kinetic gas temperatures of 40 sources are derived from NH3 (1, 1) and (2, 2) data, and we compare the results with the dust temperatures obtained from the IRAS data. Comparing the amount of dust, and hence the gas, associated with the HMPOs and with ultracompact H II (UCH II) regions, we find that the two types of sources are clearly separated in mass-luminosity diagrams: for the same dust masses, the UCH II regions have higher bolometric luminosities than HMPOs. We suggest that this is an evolutionary trend, with the HMPOs being younger and reprocessing less (stellar) radiation in the IR than the more evolved UCH II regions. These results indicate that a substantial fraction of our sample harbors HMPOs in a pre-UCH II region phase, the earliest known stage in the high-mass star formation process.
Aliso: A Journal of Systematic and Floristic Botany Aliso: A Journal of Systematic and Floristic Botany Wood Anatomy of Acanthaceae: A Survey Wood Anatomy of Acanthaceae: A Survey

Qualitative and quantitative wood features are reported for 38 species representing 22 genera, including the scandent genera Mendoncia and Thunbergia. Woods of Acanthaceae are characterized by relatively narrow vessels with simple perforation plates and alternate lateral wall pitting, septate libriform fibers, scanty vasicentric axial parenchyma, rays both multiseriate and uniseriate, erect ray cells abundant in rays (some species rayless or near-rayless), numerous small crystals or cystoliths in ray cells in a few genera (first documented reports of both characters in woods of Acanthaceae), and nonstoried structure. This constellation of features is very closely matched by woods ofGesneriaceae, Scrophulariaceae, Pedaliaceae, Martyniaceae, Bignoniaceae, and Myoporaceae (families listed in order ofdecreasing resemblance). Narrowness ofvessels in tropical Acanthaceae appears related to understory ecology. A fewspecies in warm and seasonally dry areas have narrow, short vessel elements numerous per unit transection. Vasicentric tracheids occur in two nonscandent genera in dry areas. Vesselgrouping is roughly proportional to dryness of habitat. Thunbergia alata, T. laurifolia, and all collections of Mendoncia have interxylary phloem (first report for Mendoncia). That feature, plus presence of occasional acicular crystals in rays and axial parenchyma and presence of large gelatinous fibers in phloem ally Mendoncia closely with Thunbergia, and Mendonciaceae is not justified for this and other reasons. Species of Thunbergia differ among themselves, and T. erecta and T. holstii resemble shrubby Acanthaceae more than they do Mendoncia in wood features. Thunbergia thus should not be segregated from Acanthaceae.
Enhancing Content Distribution Performance of Locality-Aware BitTorrent Systems

Locality-aware BitTorrent (BT) systems reduce the inter-ISP traffic by providing peers with physically close neighbors. However, they still rely on randomized optimistic unchoking, leaving a design space for performance improvement. In this paper, we propose a biased optimistic unchoking mechanism called PicBou. In PicBou, a typical peer prefers to optimistically unchoke the neighbors that are physically close to it or have file pieces rarely replicated among its internal neighbors. The PicBou enables peers in the same ISPs to cooperatively get missing pieces in a prompt way, and share pieces among internal neighbors once the pieces have been downloaded into the ISPs. This feature greatly reduces the content distribution time and saves the backbone bandwidth consumption. The PicBou is simple and can be easily integrated in current locality-aware BT systems. We evaluate the performance through extensive simulations. The results show that PicBou reduces the content distribution time of locality-aware BT systems by about 20% and cuts down the inter-ISP traffic by 19-36%.
I S a P U B L I C a T I O N I N T E R N E N O I R I S a 884 Prioritized Transitions for Updates Prioritized Transitions for Updates

An update operation presupposes that one can predict how the world changes along time. In the absence of a predictive model of evolution, the common sense law of inertia is usually used and justiies the minimal change approach to the frame problem. Instead of relying on an implicit modeling of persistence, we propose to use an explicit modeling of the expected evolution. We rst explain why our previous proposal was not quite satisfactory. We then propose a model-driven semantics of the update operation which can take into account an explicit transition model. The transition model provides a more powerful and exible way to represent the persistence of information. It can moreover be stressed that non only persistence information but also default and transition rules can be expressed in this transition model. It can then be used to represent evolutive systems as required for example in a monitoring or diagnosis context. Transitions avec priorit es pour la Mise a Jour R esum e : La mise a jour d'une base de connaissances n ecessite de prendre en compte l' evolution pr evisible du syst eme ou du monde repr esent e. Les approches s'appuyant sur le principe de changement minimal font l'hypoth ese que le monde ob eit a la loi de l'inertie : si un changement n'est pas explicitement sp ecii e, on suppose que ce changement n'a pas lieu. Dans ce papier, nous montrons les limites d' un tel mod ele implicite de la persistence et nous proposons d'utiliser un mod ele explicite de l' evolution normalement pr evue, que nous appellons \mod ele de transition". Nous d eenissons alors la s emantique de l'op eration de mise a jour utilisant un tel mod ele de transition. Ce mod ele permet de sp eciier la persistance des informations de mani ere nettement plus souple et puissante que ne peut le faire un principe d'inertie maximale. Il permet de plus d'exprimer des r egles de transition ainsi que des r egles par d efaut, et de leur aaecter des priorit es. Il peut en particulier ^ etre utilis e pour mod eliser des syst emes evolutifs dans un cadre de diagnostic ou de supervision.
Multisite Observations of δ Scuti Stars 7 Aql and 8 Aql (a New δ Scuti Variable): The Twelfth STEPHI Campaign in 2003

We present an analysis of the pulsation behavior of the δ Scuti stars 7 Aql (HD 174532) and 8 Aql (HD 174589), a new variable star, observed in the framework of the STEPHI XII campaign during 2003 June and July; 183 hr of high-precision photometry were acquired by using four-channel photometers at three sites on three continents during 21 days. The light curves and amplitude spectra were obtained following a classical scheme of multichannel photometry. Observations in different filters were also obtained and analyzed. Six and three frequencies have been unambiguously detected above a 99% confidence level in the range 190-300 μHz and 100-145 μHz in 7 Aql and 8 Aql, respectively. A comparison of observed and theoretical frequencies shows that 7 Aql and 8 Aql may oscillate with p-modes of low radial orders, typical among δ Scuti stars. In terms of radial oscillations the range of 8 Aql goes from n = 1 to 3, while for 7 Aql the range spans from n = 4 to 7. Nonradial oscillations have to be present in both stars as well. The expected range of excited modes according to a nonadiabatic analysis goes from n = 1 to 6 in both stars.
Risk Perception in Modeling Malware Propagation in Networks

We investigate the effects of risk perception in a SIS model for malware propagating in different types of networks such as regular, random and scale-free. We assume that the perception of the risk of being infected rely on the fraction of neighbors that are infected. The effects are mainly affected by two parameters denoted by J and , which models the linear response and nonlinear effects respectively. They can reduce the infectivity of the malware as a function of the infected neighbors. We study the models in the mean-field approximation and by numerical simulations for the three kinds of networks. The results show that for homogeneous and random networks, there is always a value of perception that stops the malwares. But in the “worst case” scenario of a scale-free network with diverging connectivity, a linear perception can not stop the malwares. With the nonlinear increase of the perception risk, however, the malware tends to be extinct. This transition is not continuous and is presumably induced by fluctuations in center nodes such as hubs or switches. An understanding of the risk perception in modeling malware propagation in networks is very important for designing effective detection and prevention strategies for such networks.
Designing approximate circuits using clock overgating

Approximate computing is an emerging paradigm to improve the efficiency of computing systems by leveraging the intrinsic resilience of applications to their computations being executed in an approximate manner. Prior efforts on approximate hardware design have largely focused on circuit-level techniques. We propose a new approach, clock overgating, for the design of approximate circuits at the Register Transfer Level (RTL). The key idea is to gate the clock signal to selected Flip-Flops (FFs) in the circuit, even during execution cycles in which the circuit functionality is sensitive to their state. This saves power in the clock tree, the FF itself and in its downstream logic, while a quality loss ensues if the erroneous FF state propagates to the circuit output. We develop a systematic methodology to identify an energy-efficient overgating configuration for any given circuit and quality constraint. Towards this end, we develop 3 key strategies - significance-based overgating, grouping FFs into overgating islands, and utilizing internal signals of the circuit as triggers for overgating - that efficiently prune the large space of possible overgating configurations. We evaluate clock overgating by designing approximate versions of 6 machine learning accelerators, and demonstrate energy benefits of 1.36x on average (and upto 1.80x) for negligible (<;0.5%) loss in application quality (classification accuracy).