Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring chest movement using an array of unobstusive pressure sensors

The use of unobtrusive sensors for physiological monitoring is growing in popularity. Advantages such as their non-contact nature and their limited cognitive demand on the user can increase acceptance and usefulness in certain populations. Biomedical applications for unobtrusive pressure sensors include the analysis of bed transfer sequences and the extraction of breathing rate during long-term trend analysis and health monitoring. This paper proposes an algorithm to measure chest wall motion using an unobtrusive pressure sensor array in a combined signal format and compare it to measurements derived from respiratory inductance plethysmography bands. The novel contributions are using an unobtrusive pressure sensor array beneath the mattress to determine the duration of inspiration and expiration segments, and to determine the timing of each movement. The cross-correlation was used to align signals for the pressure array. The durations of the movements were statistically similar, and the timing of the identified movements overlapped considerably (≫80%) when the signals were aligned using the calculated delay value.
Bilu-Linial Stable Instances of Max Cut and Minimum Multiway Cut

We investigate the notion of stability proposed by Bilu and Linial. We obtain an exact polynomial-time algorithm for γ-stable Max Cut instances with γ ≥ c√log n log log n for some absolute constant c > 0. Our algorithm is robust: it never returns an incorrect answer; if the instance is γ-stable, it finds the maximum cut, otherwise, it either finds the maximum cut or certifies that the instance is not γ-stable. We prove that there is no robust polynomial-time algorithm for γ-stable instances of Max Cut when γ < α SC(n/2), where αSC is the best approximation factor for Sparsest Cut with non-uniform demands. That suggests that solving γ-stable instances with γ = o(√log n) might be difficult or even impossible. Our algorithm is based on semidefinite programming. We show that the standard SDP relaxation for Max Cut (with e22 triangle inequalities) is integral if [EQUATION], where [EQUATION] is the least distortion with which every n point metric space of negative type embeds into e1. On the negative side, we show that the SDP relaxation is not integral when [EQUATION]. Moreover, there is no tractable convex relaxation for γ-stable instances of Max Cut when γ < αSC(n/2). Our results significantly improve previously known results. The best previously known algorithm for γ-stable instances of Max Cut required that γ ≥ c√n (for some c > 0) [Bilu, Daniely, Linial, and Saks]. No hardness results were known for the problem. Additionally, we present an exact robust polynomial-time algorithm for 4-stable instances of Minimum Multiway Cut. We also study a relaxed notion of weak stability and present algorithms for weakly stable instances of Max Cut and Minimum Multiway Cut.
Positive Institutions and their relationship with transformational leadership, empathy and team performance

The current study tests the relationship between transformational leadership, empathy and excellent team performance, based on the HEalthy & Resilient Organizations (HERO) Model (Salanova, Llorens, Cifre & Martinez, 2012) in positive institutions, the third pillar of positive psychology (Seligman & Csikszentmihalyi, 2000). The study of empathy and its role in companies is important because it is not yet widely known the benefits that can provide to any institution. The study attempt to show a full mediating role of empathy in this relationship. The sample consist on 69 work teams, from 7 Small -and Medium- sized Enterprises (SMEs) including 4 educational institutions and 3 institutions of medical services from Spain. The Interclass Correlation Coefficients (ICC1 and ICC2) and the Average Deviation Index (ADM(J)) supports data aggregation at the team level. The results using SEM, through work teams, supported the hypothesis, that is, the empathy plays a full mediating role between transformational leadership and excellent team performance. Finally, theoretical and practical implications of the results are discussed.
A Survey on Telemedicine Approach Using Cross Layer Design in Video Streaming

Telemedicine is one of the effective applications of the technological advancements coupled with the developments in the field of medicine and plays a vital role in today's world. A survey has been conducted on various types of coding techniques, video compression standards for real time transmission of video over wireless network and also on the cross layer design framework which makes the telemedicine not only possible but efficient. In this paper we address and analyze the relevant challenges of cross layer design for real time rate adaptation of video streaming with reference to the various video coding techniques. A comparative performance analysis of such approach is validated and the advantages are analyzed. This survey is conducted in order to improve the performance of telemedicine considering the bandwidth constraints and quality of service. We review the existing Cross Layer Design (CLD) approaches and provide the solution to use the appropriate layers for CLD framework from the stack protocol.
Please Scroll down for Article International Journal of Geographical Information Science Assessing the Worldwide Developments of National Spatial Data Clearinghouses Assessing the Worldwide Developments of National Spatial Data Clearinghouses

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Abstract. Many countries have spent considerable resources over the past few years debating optimal national spatial data infrastructures. One of the (main) elements of these infrastructures is the national spatial data clearinghouse, which facilitates access to required spatial data and provides complementary services. web survey was carried out to assess systematically the developments of these national clearinghouses worldwide. Regarding the development in the number of implementations, it can be considered a worldwide success. However, of concern are the declining trends in use, management and content. One of the main reasons for these negative trends could be the dissatisfaction of the spatial data community with the functional capability of current clearinghouses. The functional capabilities of clearinghouses should likely be changed from a data-oriented to a user and application-oriented focus. This is in accord with the objectives of the second generation of spatial data infrastructures. The main factors, therefore, that will have positive impacts on developments in this field are the inclusion of web services, stability of funding and creation of user-friendly interfaces. 1. Introduction Spatial Data Infrastructure (SDI) is about the facilitation and coordination of the exchange and sharing of spatial data between stakeholders in the spatial data community. With this objective in mind, many countries are developing SDI to manage and use their spatial data assets more efficiently. These countries are finding it necessary to develop SDIs to assist in decision-making that has an important impact within their national boundaries. Over the past few years, many countries have spent considerable resources on debating optimal National SDI (NSDI). One of the main elements of a NSDI is the national spatial data clearinghouse
Increased Frequency of Interleukin‐1β‐511T Allele in Patients with Temporal Lobe Epilepsy, Hippocampal Sclerosis, and Prolonged Febrile Convulsion

Summary: Purpose: To confirm the high frequency of interleukin (IL)‐1β‐511T allele occurrence in patients with temporal lobe epilepsy (TLE) and hippocampal sclerosis (HS), with special attention given to the impact of prolonged febrile convulsions (PFCs) on IL‐1β genotype distribution.
The Impact of Legalized Abortion on Teen Childbearing

After 41 consecutive years of increase, out-of-wedlock teen childbearing unexpectedly reversed course in 1991 and by 2002 was 20% below its peak. Explanations for that reversal have proven elusive. In this paper, we present evidence that exposure to legalized abortion in utero for the cohort of women that became teenagers in the 1990s is one factor contributing to this decline. We estimate that the legalization of abortion in the 1970s changed the composition of women at risk of bearing children out of wedlock some 15--24 years later. This composition effect reduced out-of-wedlock teen birth rates by 6%, which accounts for roughly 25% of the observed decline in unmarried teen birth rates over this period. It also lowered rates of unmarried births for women aged 20--24. At the same time, it increased the number of married births to women 20--24, so that there is only a small reduction in total fertility over the ages 15--24. The detailed information available on birth certificates enables a more direct identification of in utero abortion exposure than prior studies looking at other outcomes such as crime. Copyright 2009, Oxford University Press.
SCALABLE PERCEPTUAL MIXING AND FILTERING OF AUDIO SIGNALS USING AN AUGMENTED SPECTRAL REPRESENTATION

Many interactive applications, such as video games, require processing a large number of sound signals in real-time. This paper proposes a novel perceptually-based and scalable approach for efficiently filtering and mixing a large number of audio signals. Key to its efficiency is a pre-computed Fourier frequency-domain representation augmented with additional descriptors. The descriptors can be used during the real-time processing to estimate which signals are not going to contribute to the final mixture. Besides, we also propose an importance sampling strategy allowing to tune the processing load relative to the quality of the output. We demonstrate our approach for a variety of applications including equalization and mixing, reverberation processing and spatialization. It can also be used to optimize audio data streaming or decompression. By reducing the number of operations and limiting bus traffic, our approach yields a 3 to 15-fold improvement in overall processing rate compared to brute-force techniques, with minimal degradation of the output.
Multi-pattern fusion based semi-supervised Name Entity Recognition

Named Entity Recognition (NER) is one of the most important problems in Natural Language Processing (NLP). NER also has a broad prospect for application and important research value. There are a lot of methods and technology to solve NER problem. In this paper, for a specific application background, a new multi-pattern fusion based semi-supervised NER method is proposed. We use soft-matching method in entity internal pattern first. Then through bootstrapping process in the training corpus, we get an entity external pattern. Finally we use fusion internal and external pattern method to complete the named entity recognition. Experiments on Chinese weapon names, from People's Daily corpus and some military news articles were performed. They showed when the internal characteristic is significant and training corpus has a higher similarity with test corpus, this method performs better than soft matching method and external pattern based bootstrapping method, improving the named entity recognition precision by 18.2%.
Soviet and American precursors to the gamification of work

A number of commentators have proposed adapting elements derived from game mechanics to workplaces, to motivate employees via techniques that, the argument goes, have proven successful in a videogame context, and thus may have wider motivational applications. This general strategy has become grouped under the term "gamification". I argue the gamification-of-work movement has at least two major precursors, one in the Soviet Union of the early to mid 20th century, and another in American management of the late 20th and early 21st centuries. The Soviet approach focused on games to increase productivity, via experiments ranging from purely competitive games directly tied to productivity, to attempts at morale-building via team games and workplace self-expression. The American management approach focused more strongly on a sense of childhood play, aiming to weaken the work/play split, but often with games and competition integrated into the framework. Neither approach is identical to the gamification-of-work movement, but there exist significant overlaps, and thus both the historical movements themselves, and the critiques that have been directed at them, should be studied in order to better understand how to approach current attempts in light of past experiences.
Alburnoides manyasensis (Actinopterygii, Cyprinidae), a new species of cyprinid fish from Manyas Lake basin, Turkey

Abstract Alburnoides manyasensis, sp. n. , is described from the Koca Stream (Lake Manyas drainage, Marmara Sea basin) in Anatolia. It is distinguished from all species of Alburnoides in Turkey and adjacent regions, Alburnoides tzanevi (Rezovska [Rezve], Istranca and Terkos streams in the western Black Sea drainage), Alburnoides cf. smyrnae (Banaz Stream, a drainage of Büyük Menderes River, Aegean Sea basin), Alburnoides fasciatus (streams and rivers in the eastern Black Sea drainage) and Alburnoides eichwaldii (Kura and Aras rivers [a drainage of Kura River], Caspian Sea basin) by a combination of the following characters (none unique to the species):marked hump at nape, especially in specimens larger than 60 mm SL; partly developed ventral keel between pelvic fin and anal fin, scaleless 1/2 to 2/3 its length; body depth at dorsal-fin origin 29−32% SL; caudal peduncle depth 11−12% SL; 45–52+ 2–3 lateral-line scales; 9–12 scale rows between lateral line and dorsal-fin origin; 4–5 scale rows between lateral line and anal-fin origin, 10½–12½ branched anal-fin rays; 40–42 total vertebrae.
Scyl1 scaffolds class II Arfs to specific subcomplexes of coatomer through the &ggr;-COP appendage domain

ABSTRACT Coatomer (COPI)-coated vesicles mediate membrane trafficking in the early secretory pathway. There are at least three subclasses of COPI coats and two classes of Arf GTPases that couple COPI coat proteins to membranes. Whether mechanisms exist to link specific Arfs to specific COPI subcomplexes is unknown. We now demonstrate that Scy1-like protein 1 (Scyl1), a member of the Scy1-like family of catalytically inactive protein kinases, oligomerizes through centrally located HEAT repeats and uses a C-terminal RKXX-COO− motif to interact directly with the appendage domain of coatomer subunit &ggr;-2 (also known as COPG2 or &ggr;2-COP). Through a distinct site, Scyl1 interacts selectively with class II Arfs, notably Arf4, thus linking class II Arfs to &ggr;2-bearing COPI subcomplexes. Therefore, Scyl1 functions as a scaffold for key components of COPI coats, and disruption of the scaffolding function of Scyl1 causes tubulation of the endoplasmic reticulum (ER)-Golgi intermediate compartment (ERGIC) and the cis-Golgi, similar to that observed following the loss of Arf and Arf-guanine-nucleotide-exchange factor (GEF) function. Our data reveal that Scyl1 is a key organizer of a subset of the COPI machinery.
Applications of Computer-based Neuropsychological Assessment

Objectives:To present current applications of computer-based neuropsychological assessment, including the assessment of sports-related concussion, symptom validity testing, and the remote administration of tests through the Internet. Problem areas:If computer-based assessment benefits are to become popularized, a few issues will need to be addressed: the development of psychometric data based on comparisons with long-standing empirically sound test measures; additional validation of measures by parties not involved in their commercial development; increased focus on ecological validity; exploration of the usefulness of remote data storage and automated posting to databases; and improved documentation of specific computer hardware and software used in experimental methods. Conclusions:Beyond ease of administration and data collection, computer-based assessment offers benefits over paper-and-pencil measures in the form of millisecond timing accuracy, reliable and randomized presentation of stimuli over multiple trials and repeat administrations, and unobtrusive measurement of cognitive skills and response times during all aspects of the assessment process.
Computational Aesthetic Evaluation of Logos

Computational aesthetics has become an active research field in recent years, but there have been few attempts in computational aesthetic evaluation of logos. In this article, we restrict our study on black-and-white logos, which are professionally designed for name-brand companies with similar properties, and apply perceptual models of standard design principles in computational aesthetic evaluation of logos. We define a group of metrics to evaluate some aspects in design principles such as balance, contrast, and harmony of logos. We also collect human ratings of balance, contrast, harmony, and aesthetics of 60 logos from 60 volunteers. Statistical linear regression models are trained on this database using a supervised machine-learning method. Experimental results show that our model-evaluated balance, contrast, and harmony have highly significant correlation of over 0.87 with human evaluations on the same dimensions. Finally, we regress human-evaluated aesthetics scores on model-evaluated balance, contrast, and harmony. The resulted regression model of aesthetics can predict human judgments on perceived aesthetics with a high correlation of 0.85. Our work provides a machine-learning-based reference framework for quantitative aesthetic evaluation of graphic design patterns and also the research of exploring the relationship between aesthetic perceptions of human and computational evaluation of design principles extracted from graphic designs.
Integral Life Practice 수련 경험에 관한 현상학적 연구

본 연구의 목적은 일상 속에서 ILP 수련자들이 겪는 경험의 풍부한 의미와 본질을 기술하고 이해함 과 동시에, ILP 수련만이 고유하게 갖는 생생한 경험적 가치들을 탐색하는 것이다. 본 연구는 ILP가 인간의 통합적 성장에 얼마나 기여하는지, 실제 현장에서 수련자들에게 어떻게 경험되는지를 살펴 봄으로써, ILP를 국내에서 활성화하기 위한 구체적인 실천방안을 제시하는 데 작은 기여를 하고자 했다. 이를 위해 2009년 10월부터 2010년 9월까지 11명의 참여자들을 대상으로 심층 인터뷰를 비롯 한 다양한 방법을 통해 자료를 수집하였다. 자료 분석은 Giorgi의 현상학적 방법의 과학적 4단계에 따라 수행했으며, ILP 수련 경험의 본질적 구조를 최종적으로 8개 구성요소와 29개의 하위 구성요소로 도출하였다. 본 연구를 통해 드러난 ILP 수련 경험의 본질은 ILP의 통합적 틀을 이해하고 받아 들여(이해), 균형, 시너지, 확장 등 ILP의 통합적 틀이 제공하는 고유한 특성을 경험하며(경험), 그 경 험을 일상적 삶 속으로 확장하고 체화시키면서 삶과 수련의 더 넓은 의미의 통합을 향해 나아가는 것이다(체화). 본 연구는 국내뿐 아니라 해외에서도 ILP와 관련된 학문적 연구가 거의 이루어지지 않은 상황에서 ILP라는 주제로 국내에서 처음 시도된 연구라는 점, 국내 최초로 ILP를 현장에 도입 하여 1년에 걸쳐 우리만의 고유한 방식으로 수련그룹을 온라인/오프라인을 통해 일상 속에서 성공 적으로 운영해온 결과물이라는 점에 그 의의가 있다.
Mindfulness training as an evidenced-based approach to reducing stress and promoting well-being among human services professionals

Abstract Two novel mindfulness-based interventions designed to be integrated either in academic or work settings to mitigate the effects of stress and promote well-being among human services professionals are described. Study 1 explored whether a brief mindfulness intervention was superior to a traditional relaxation intervention for nursing staff. Results demonstrated that both interventions significantly improved relaxation and life satisfaction, with mindfulness participants exhibiting a trend toward particular improvements in emotional exhaustion. In study 2, teacher trainees who participated in a Mindfulness- Based Wellness Education (MBWE) program as part of their academic training experienced significantly greater increases than controls in mindfulness, satisfaction with life, and teaching self-efficacy. We recognize that systemic factors need to be addressed for the long-term resolution of stress-related problems among human services professionals. In the interim, mindfulness-based interventions are proving to be an effective way to support these pivotal members of our society. Human services professionals are pivotal members of our society. They often work under duress and as a result, stress related health and mental health problems commonly lead to job burnout in this population (Maslach 2003). In addition to the negative physical and mental health outcomes associated with stress and burnout, there are also substantial financial costs to organizations as a result of decreased work performance and increased disability, absenteeism, and turnover (Palmer et al 2004; Statistics Canada 2007). Across human services professions, the causes and consequences of stress, as well as factors contributing to one's ability to cope with stress or to develop burnout, are well documented (e.g., for nurses, see Gelsema et al 2006; for social workers, see Seibert 2005; for teachers, see Montgomery & Rupp 2005). Theoretical models map out the factors contributing to, and the trajectory leading toward, outcomes such as burnout (e.g., Bakker & Demerouti 2007). However, the literature focusing on solutions to work-related stress and burnout is scant (Maslach 2003). This article outlines the development and evaluation of two mindfulness-based interventions for human services professionals. These programs are based on evidence of impressive benefits of Kabat- Zinn's (1990) mindfulness-based stress reduction (MBSR) program in clinical settings, burgeoning interest in applying this program in non-clinical settings, and our own mindfulness practices. After a brief overview of mindfulness and current research developments, we describe the results of two studies we conducted, one with nurses and one with teachers- in-training.