Miracle-dz/UniFAR-FTUs huggingface dataset:
I know how you feel: the influence of psychopathic traits on the ability to identify micro-expressions

ABSTRACT Few studies have examined the manner in which individuals view, interact with, and manipulate others, or their ability to identify and respond to others’ emotional cues. More specifically, no research has examined the capacity of individuals high in psychopathic traits to perceive and recognize extremely fleeting emotional expressions (i.e. micro-expressions) that could allow them to infer emotional vulnerability in others. The current study examined whether psychopathic traits [measured via the Self-Report Psychopathy Scale-4 (SRP-4); Paulhus, D. L. , Neumann, C. S. , & Hare, R. D. (2016). Manual for the Self-Report Psychopathy Scale (4th ed.). Toronto: Multi-Health Systems] were associated with the ability to identify micro-expressions in others. Participants (N = 132) viewed videos of 1/25th second micro-expressions and attempted to identify the displayed emotion. The results indicated that SRP scores were positively associated with a heightened ability to identify sadness micro-expressions, particularly among observers who were women. Additionally, various SRP subscales were related to emotion selection tendencies and accuracy rates, which also differed between the sexes.
Interoperability mechanisms for registration and authentication on different open DRM platforms

Summary The DRM interoperability problem is a very complex problem. Even big software companies have already admitted that DRM as it is today is too complex – complex for end-users, complex for content providers and complex for content handling devices manufactures. There are different approaches to deal with this problem and there are different levels to address the problem. This article addresses the DRM interoperability issues from a security point of view, and as an example the authors take two open-specification DRM architectures – MIPAMS and OpenSDRM – to identify a strategy to interoperate some of the basic security mechanisms. In this article the authors will concentrate in the DRM components and user’s registration, authentication and verification process and will derive a mechanism to handle and support both.
Reduced functional connectivity in the thalamo‐insular subnetwork in patients with acute anorexia nervosa

The neural underpinnings of anorexia nervosa (AN) are poorly understood. Results from existing functional brain imaging studies using disorder‐relevant food‐ or body‐stimuli have been heterogeneous and may be biased due to varying compliance or strategies of the participants. In this study, resting state functional connectivity imaging was used. To explore the distributed nature and complexity of brain function we characterized network patterns in patients with acute AN. Thirty‐five unmedicated female acute AN patients and 35 closely matched healthy female participants underwent resting state functional magnetic resonance imaging. We used a network‐based statistic (NBS) approach [Zalesky et al., 2010a] to identify differences between groups by isolating a network of interconnected nodes with a deviant connectivity pattern. Group comparison revealed a subnetwork of connections with decreased connectivity including the amygdala, thalamus, fusiform gyrus, putamen and the posterior insula as the central hub in the patient group. Results were not driven by changes in intranodal or global connectivity. No network could be identified where AN patients had increased coupling. Given the known involvement of the identified thalamo‐insular subnetwork in interoception, decreased connectivity in AN patients in these nodes might reflect changes in the propagation of sensations that alert the organism to urgent homeostatic imbalances and pain‐processes that are known to be severely disturbed in AN and might explain the striking discrepancy between patient's actual and perceived internal body state. Hum Brain Mapp 36:1772–1781, 2015. © 2015 Wiley Periodicals, Inc.
An Integrated Framework for Cloud Data Management in Educational Institutes

Information and Communication Technology (ICT) has transformed the whole world to a global village. Acquiring and maintaining essential ICT infrastructure has become a great challenge especially in education sector. Being a human resource development sector, it needs to use expensive infrastructure more effectively not only for providing education but also for its transactional applications. With the evolution of Cloud Computing, scalable IT enabled services are delivered on-line to its users on pay-per-usage basis from anywhere through variety of devices. The present paper emphasizes upon the use of Cloud Computing and Cloud databases for the transactional applications of educational institutes. It highlights the issues involved in managing data in Cloud like conformity of ACID (Atomicity, Consistency, Isolation, Durability) guarantees in transactional data. Then the paper proposes an Integrated Framework for managing transactional applications of educational institutes. The proposed framework provides efficient and effective technique to manage transactional data. It also brings uniformity in the way transactional applications and data are stored and accessed by various educational institutes in the Cloud.
The Continuum of Classification Fuzziness in Thematic Mapping

Thematic mapping from remotely sensed data is generally achieved through the application of a supervised image classification. Although this is one of the most common applications of remote sensing, the maps derived are often of insufficient accuracy for operational use. Consequently, considemble research effort has been directed at increasing the accuracy of thematic mapping, particularly through the development of classification techniques that make fuller use of the information content of remotely sensed data. One major set of problems limiting the accuracy of thematic maps derived from remotely sensed data relates to conceptual issues associated with the use of classification techniques as the tool for mapping. It is shown that the conventional "hard" classifications may be less appropriate than fuzzy classifications and that a continuum of classification fuzziness can be defined. The potential for classification at any point along this continuum, from completely crisp to fully fuzzy, is discussed and may provide a framework for realizing more fully the potential of remote sensing as a source of thematic map data. The implications of the continuum on spatial data 1 standards and reporting are also briefly discussed.
Effects of specific post-menopausal hormone therapies on bone mineral density in post-menopausal women: a meta-analysis.

BACKGROUND Long-term post-menopausal hormone therapy (pHT) was often regarded as first-line therapy to prevent fractures in post-menopausal women, a recommendation under scrutiny given the benefit-risk profile of the Women's Health Initiative results of the estrogen-progestin combination. Apart from controlled clinical studies providing data with fractures as an end point, measures of lumbar and hip bone mineral density (BMD) may be used to assess bone-related effects of pHT. The objective of this study was to conduct a systematic review of 2-year trials, published between 1990 and December 2002, and assessing changes in BMD by any estrogen including ethinyl estradiol, any estrogen plus any progestin, or tibolone. METHODS We searched MEDLINE, EMBASE and systematic reviews. Thirty-nine randomized, prospective, controlled 2-year trials were analysed in pre-specified groups according to the profile of the compounds. RESULTS Virtually all pHT regimens at least maintain BMD at the lumbar spine and the hip compared with baseline; there is no apparent difference between the various estrogenic compounds. Tibolone, a synthetic progestin, appears to be as effective as any estrogen. Most trials were conducted in early post-menopausal women, fewer in women with hysterectomy and/or bilateral oophorectomy. CONCLUSIONS The size of impact on BMD does not appear to differ between tibolone and any estrogen compound studied.
On not defining drawing

This paper will trace the development of a notation research experiment aimed at developing a scoring system for silence. Silence has kinetic roles in social exchanges: quietude, reflective pauses, withdrawal, displays of consent or dissent, reception and interpretation. But how can we score something not present, yet also not absent? Is there a positive notation for this critical issue of performance, of silence in the voice, other than merely the courtesies of extended rests, or blanks in the score? The reader will see inscriptions that oscillate between pictures and writing, and between visual and auditory, exemplifying those capacities of drawing to operate in the spaces between languages. In the context of an experimental music notation, seeking to make an instrumental gesture of silence, how can we draw incipience?
CSCM : A Contention Sensitive Routing Metric for Efficient Cooperative Communication in Multi-Hop Wireless Networks

Cooperative communication allows several nodes to cooperatively transmit signals to a particular destination. Using cooperative communication, wireless networks could mitigate severe channel impairments arising from multipath propagation. In this case, the greater benefits are gained by exploiting spatial diversity in the channel. However, cooperative routing strategy in a network with multiple flows may cause collision among helping nodes and thus, reduce the overall system performance. Moreover, as the number of flows is increased, the probability of collisions also increases dramatically and performance tends to degrade. In this paper, we propose a new routing protocol based on our proposed new routing metric called Contention Sensitive Cooperative Metric (CSCM), which takes contention relationship into consideration. Finally, the performance of the proposed routing protocol has been evaluated using simulation. The results demonstrate significant performance improvement of cooperative communication while using CSCM in terms of total network throughput and average end-to-end delay. Keywords— Cooperative Communication, Contention Sensitive Cooperative Routing, Multiple-Input Multiple-Output, Virtual Node, Virtual Link
Agent Modelling in Partially Observable Domains

Monitoring selectivity is a key challenge faced by agents when modelling other agents(1) — agents cannot continually monitor others due to the computational burden of such monitoring and modelling, but lack of such monitoring and modelling leads to increased uncertainty about the state of other agents. Such monitoring selectivity is also crucially important when agents engage in planning in the presence of action and observation uncertainty. Formally, this paper focuses on an agent that uses a POMDP to plan its activities, in a multiagent setting, and illustrates the critical nature of the monitoring selectivity challenge in POMDPs. The paper presents heuristics to limit the amount of monitoring and modelling of other agents, where the heuristics exploit the reward structure and transition probabilities to automatically determine where to curtail such monitoring and modelling. We concretely illustrate our techniques in the domain of software personal assistants, and present some initial experimental results illustrating the efficiency
One-Shot Approximate Local Shading

In most rendering systems, area light sources are decomposed into many point light sources, which requires heavy computation to produce realistic results. In this paper, we propose a novel approach to approximate an area light source with a point light source for each component of the shading model. The position and intensity of the point light source is dependent on the position and orientation of scene points. Thus the scene is shaded using on-the-fly point light sources. The key contribution of our work is that we are able to shade with area light sources of arbitrary shape and arbitrary intensity distribution in real time and the shading model can be generic. And the computation cost is independent of the complexity of the area light source. Experimental results show that our approach creates results comparable to the ground truth. Our approach could be extended to other kinds of local light sources such as curved light sources and volume light sources.
Person-technology Fit and Work Outcomes: A Study among IT Professionals in India

The present study contributes to individual level information systems research by addressing an important and yet unanswered research question. The present study is a part of a large study conducted to explore and understand impact of technology allocation among Indian IT professionals. In the first part of the study we conducted a qualitative study based on grounded theory methodology. Our findings suggest that technology allocation might contribute in understanding the behaviour of IT professionals. We found that IT professionals evaluate the technology allocated to them on dimensions such as career consequences; however their evaluation is affected by individual level preferences. This evaluation, either positive or negative, influences their job outcomes. Further, we explored the factors that make a technology preferable to others and explicated relevant technology characteristics for IT professionals. Considering the relationship between individual preferences and technology characteristics, we have employed PE fit theory as an overarching theory to explore the phenomenon. Based on the findings of first part of the study and synthesis of literature we proposes a new construct, “Person technology fit” which is hypothesized to affect career satisfaction and turnover intention. Polynomial regression analysis and response surface method is used for data analysis as they are suggested to be an appropriate tool for fit studies in extant literature. Based on data collected from 386 IT professionals working in Indian IT organizations, person technology fit was related to career satisfaction and turnover intent.
Research Paper: A Multi-aspect Comparison Study of Supervised Word Sense Disambiguation

OBJECTIVE The aim of this study was to investigate relations among different aspects in supervised word sense disambiguation (WSD; supervised machine learning for disambiguating the sense of a term in a context) and compare supervised WSD in the biomedical domain with that in the general English domain. METHODS The study involves three data sets (a biomedical abbreviation data set, a general biomedical term data set, and a general English data set). The authors implemented three machine-learning algorithms, including (1) naïve Bayes (NBL) and decision lists (TDLL), (2) their adaptation of decision lists (ODLL), and (3) their mixed supervised learning (MSL). There were six feature representations (various combinations of collocations, bag of words, oriented bag of words, etc.) and five window sizes (2, 4, 6, 8, and 10). RESULTS Supervised WSD is suitable only when there are enough sense-tagged instances with at least a few dozens of instances for each sense. Collocations combined with neighboring words are appropriate selections for the context. For terms with unrelated biomedical senses, a large window size such as the whole paragraph should be used, while for general English words a moderate window size between 4 and 10 should be used. The performance of the authors' implementation of decision list classifiers for abbreviations was better than that of traditional decision list classifiers. However, the opposite held for the other two sets. Also, the authors' mixed supervised learning was stable and generally better than others for all sets. CONCLUSION From this study, it was found that different aspects of supervised WSD depend on each other. The experiment method presented in the study can be used to select the best supervised WSD classifier for each ambiguous term.
Dense Packing and Symmetry in Small Clusters of Microspheres

When small numbers of colloidal microspheres are attached to the surfaces of liquid emulsion droplets, removing fluid from the droplets leads to packings of spheres that minimize the second moment of the mass distribution. The structures of the packings range from sphere doublets, triangles, and tetrahedra to exotic polyhedra not found in infinite lattice packings, molecules, or minimum–potential energy clusters. The emulsion system presents a route to produce newcolloidal structures and a means to study howdifferent physical constraints affect symmetry in small parcels of matter.
NSAIDs Inhibit Tumorigenesis, but How?

Numerous epidemiologic studies have reported that the long-term use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with a significant decrease in cancer incidence and delayed progression of malignant disease. The use of NSAIDs has also been linked with reduced risk from cancer-related mortality and distant metastasis. Certain prescription-strength NSAIDs, such as sulindac, have been shown to cause regression of precancerous lesions. Unfortunately, the extended use of NSAIDs for chemoprevention results in potentially fatal side effects related to their COX-inhibitory activity and suppression of prostaglandin synthesis. Although the basis for the tumor growth–inhibitory activity of NSAIDs likely involves multiple effects on tumor cells and their microenvironment, numerous investigators have concluded that the underlying mechanism is not completely explained by COX inhibition. It may therefore be possible to develop safer and more efficacious drugs by targeting such COX-independent mechanisms. NSAID derivatives or metabolites that lack COX-inhibitory activity, but retain or have improved anticancer activity, support this possibility. Experimental studies suggest that apoptosis induction and suppression of β-catenin–dependent transcription are important aspects of their antineoplastic activity. Studies show that the latter involves phosphodiesterase inhibition and the elevation of intracellular cyclic GMP levels. Here, we review the evidence for COX-independent mechanisms and discuss progress toward identifying alternative targets and developing NSAID derivatives that lack COX-inhibitory activity but have improved antineoplastic properties. Clin Cancer Res; 20(5); 1104–13. ©2013 AACR.
Generalized Coupled-Line All-Pass Phasers

Generalized coupled-line all-pass phasers, based on cascaded C-sections (CCSs), cascaded coupled-lines (CCLs), and hybrid-cascaded (HC) coupled transmission-line sections, are presented and demonstrated using analytical, full-wave, and experimental results. It is shown that for N commensurate coupled-line sections, CCL and HC phasers exhibit N group-delay peaks per coupled-line section harmonic frequency band, in contrast to the CCS configuration, which exhibits only one peak within this band. It is also shown that for a given maximum achievable coupling-coefficient, the HC configuration provides the largest group-delay swing. A wave-interference analysis is finally applied to the various coupled-line phasers, explaining their unique group-delay characteristics based on physical wave-propagation mechanisms.
Blackhole attack detection and prevention by real time monitoring

Adhoc network is a temporary network formed to share data among nodes. Network is constrained about resources and always has threat from malicious nodes. Blackhole attack is one of the attacks in which, attacker node intentionally drops all packets which it had to forward to its neighbor nodes. In this paper, we propose a method to detect and prevent Blackhole attack by real time monitoring suspected node by its neighbor node. AODV routing protocol is modified to simulate the detection and prevention method. Node which replies to RouteRequest (RREQ) by source is monitored in promiscuous mode. Neighbor node of RouteReply (RREP) sender node is actually detecting malicious node.
Optimal and sub-optimal decoding for vector quantization over noisy channels with memory

This paper considers optimal decoding for vector quantization over a noisy channel with memory. The optimal decoder is soft in the sense that the unquantized channel outputs are utilized directly for decoding, and no decisions are taken. Since the complexity of optimal decoding is high, we also present an approach to sub-optimal decoding, of lower complexity, being based on Hashimoto's generalization of the Viterbi algorithm. We furthermore study optimal encoding and combined source-channel coding. Numerical simulations demonstrate that both optimal and sub-optimal soft decoding give prominent gain over decision-based decoding.
DESIGN AND REPORTING MODIFICATIONS IN INDUSTRY-SPONSORED COMPARATIVE PSYCHOPHARMACOLOGY TRIALS

This review of recently published pharmaceutical industry-sponsored comparative psychotropic drug trials aims to classify apparent design and reporting modifications that favor the sponsor’s product. The modifications have been grouped into 13 discrete categories, and representative examples of each are presented. Strong circumstantial evidence suggests that marketing goals led to these adjustments. The consequences of marketing influences on comparative psychopharmacology trials are discussed in terms of conflicts of interest, the integrity of the scientific literature, and costs to consumers, as well as their impact on physician practice.
Coarse-to-Fine Changes of Receptive Fields in Lateral Geniculate Nucleus Have a Transient and a Sustained Component That Depend on Distinct Mechanisms

Visual processing in the brain seems to provide fast but coarse information before information about fine details. Such dynamics occur also in single neurons at several levels of the visual system. In the dorsal lateral geniculate nucleus (LGN), neurons have a receptive field (RF) with antagonistic center-surround organization, and temporal changes in center-surround organization are generally assumed to be due to a time-lag of the surround activity relative to center activity. Spatial resolution may be measured as the inverse of center size, and in LGN neurons RF-center width changes during static stimulation with durations in the range of normal fixation periods (250–500 ms) between saccadic eye-movements. The RF-center is initially large, but rapidly shrinks during the first ∼100 ms to a rather sustained size. We studied such dynamics in anesthetized cats during presentation (250 ms) of static spots centered on the RF with main focus on the transition from the first transient and highly dynamic component to the second more sustained component. The results suggest that the two components depend on different neuronal mechanisms that operate in parallel and with partial temporal overlap rather than on a continuously changing center-surround balance. Results from mathematical modeling further supported this conclusion. We found that existing models for the spatiotemporal RF of LGN neurons failed to account for our experimental results. The modeling demonstrated that a new model, in which the response is given by a sum of an early transient component and a partially overlapping sustained component, adequately accounts for our experimental data.