Miracle-dz/UniFAR-FTUs huggingface dataset:
Contactless Heart Monitoring (CHM)

An apparatus for measuring mechanical heart movement, and heart rate monitoring without physically connecting electrodes or other sensors to the body was developed. Contactless heart monitoring (CHM) based on Doppler radar with frequency of 2.4 GHz at a distance of up to 30 cm is capable of detecting the mechanical vibrations of the heart, without any contact with the person's body, and it can operate and record the heart rate through a mattress, wall or other barriers. In this paper we present the theory, and preliminary results of our basic CHM setup.
An Efficient Arc Consistency Algorithm for a Class of CSP Problems

Consistency Techniques have been studied extensively in the past as a way of tackling Constraint Satisfaction Problems (CSP). In particular various arc consistency algorithms have been proposed, originating from Waltz's filtering algorithm [20] and culminating in the optimal algorithm AC-4 of Mohr and Henderson [13]. AC-4 runs in O(ed2) in the worst case where e is the number of arcs (or constraints) and d is the site of the largest domain. Being applicable to the whole class of (binary) CSP, these algorithms do not take into account the semantics of constraints. In this paper, we present a new generic arc consistency algorithm AC-5. The algorithm is parametrised on two specified procedures and can be instantiated to reduce to AC-3 and AC-4. More important, AC-5 can be instantiated to produce an O(ed) algorithm for two important classes of constraints: functional and monotonic constraints. We also show that AC-5 has an important application in Constraint Logic Programming over Finite Domains [18]. The kernel of the constraint-solver for such a programming language is an arc consistency algorithm for a set of basic constraints. We prove that AC-5, in conjunction with node consistency, provides a decision procedure for these constraints running in time O(ed).
The Influence of Organizational Climate Towards the Teachers' Job Satisfaction in Form Six Centre

Workers who experience job dissatisfaction tend to lose their joy and happiness in their work that leads to low motivation, performance, commitment and eventually results in leaving their job. This brings long term negative effects to the organization and provides opportunity for rivalry. Hence, a study on the practice of healthy and positive organizational climate need to be carried out to increase the level of the teachers' job satisfaction to enhance the performance of the organization. Recent studies in organizational climate which involve four dimensions namely collegial leadership, professional teacher behaviour, achievement press and institutional vulnerability portrays the potential in influencing the teachers' job satisfaction. This study delves into the influence of these four dimensions in organizational climate towards the teachers' job satisfaction in the aspects of promotion, pay, supervision, working procedures and co-workers. This study is based on the Organizational Climate Description Questionnaire (OCDQ) by Hoy, Smith and Sweetland (2002) to measure the organization climate and the combination of two instruments of questionnaire to measure job satisfaction which are Job Satisfaction Survey (JSS) by Spector (1985) and Minnesota Satisfaction Questionnaire (MSQ) by Weiss, Dais, England and Lofquist (1967). Quantitative analysis is done using IBM SPSS Statistics Version 24 towards 50 academic teachers in the Form Six centres. The findings show that organization climate in particular has a significant influence towards job satisfaction among the academic teachers in the Form Six Centres. The mean scores of job satisfaction and the organizational climate were at a moderate level, but job satisfaction based on teaching experience is at a high level, and there was no significant differences between gender.
Infotainment and road safety service support in vehicular networking : From a communication perspective $

Vehicular ad hoc networking is an emerging technology for future on-the-road communications. Due to the virtue of vehicle-to-vehicle and vehicle-to-infrastructure communications, vehicular ad hoc networks (VANETs) are expected to enable a plethora of communication-based automotive applications including diverse in-vehicle infotainment applications and road safety services. Even though vehicles are organized mostly in an ad hoc manner in the network topology, directly applying the existing communication approaches designed for traditional mobile ad hoc networks to large-scale VANETs with fast-moving vehicles can be ineffective and inefficient. To achieve success in a vehicular environment, VANET-specific communication solutions are imperative. In this paper, we provide a comprehensive overview of various radio channel access protocols and resource management approaches, and discuss their suitability for infotainment and safety service support in VANETs. Further, we present recent research activities and related projects on vehicular communications. Potential challenges and open research issues are also
A rhythmical tap approach for sending data across devices

This paper proposes a new user interface technique to specify sending data across digital devices. In this approach, users specify what to send from what device to what device by tapping them rhythmically. This technique is easy to operate, low implementation cost, applicable to a wide range of devices, and scalable by adding numerous rhythmical tap sequences. We confirmed the feasibility of this approach through preliminary experiments.
Evaluation of Two Humphrey Perimetry Programs: Full Threshold and SITA Standard Testing Strategy for Learning Effect

Purpose To compare learning effect of Swedish interactive threshold algorithm (SITA) standard strategy with full threshold testing. Methods Thirty-nine medical students with no experience in visual field testing had full threshold (FT) and SITA standard for either right or left eyes. They were chosen in such a way that 20 (Group I) had FT for right and SITA for left eyes and 19 (Group II) had SITA standard for right and FT for left eyes. It was designed to have both strategies on same person whereby eliminating inter-individual variability. Visual field testing was repeated in the same week of the first test on the same subject with the same strategy that was chosen for that eye. Results The authors found an improvement in mean deviation (MD) and pattern standard deviation (PSD) of first and second testings correspondingly for FT (MD from –3.04 to –2.55; PSD from –2.60 to –2.29) and SITA standard (MD from –2.86 to –2.20; PSD from 2.25 to 2.10) and changes were statistically significant (p<0.05). To analyze learning effect of visual field testings, we calculated percentage change in MD and PSD for full threshold and SITA standard strategy. The percentage changes in visual field parameters were significantly lower in SITA standard strategy testing for MD (p=0.02) and PSD (p=0.01). Conclusions This study shows that a learning effect is present for both strategies and SITA standard may have a reduced learning effect compared to FT.
NON-DETECTION OF PREVIOUSLY REPORTED TRANSITS OF HD 97658b WITH MOST PHOTOMETRY

The radial velocity-discovered exoplanet HD 97658b was recently announced to transit, with a derived planetary radius of 2.93 ± 0.28 R⊕. As a transiting super-Earth orbiting a bright star, this planet would make an attractive candidate for additional observations, including studies of its atmospheric properties. We present and analyze follow-up photometric observations of the HD 97658 system acquired with the Microvariability and Oscillations of STars space telescope. Our results show no transit with the depth and ephemeris reported in the announcement paper. For the same ephemeris, we rule out transits for a planet with radius larger than 2.09 R⊕, corresponding to the reported 3σ lower limit. We also report new radial velocity measurements which continue to support the existence of an exoplanet with a period of 9.5 days, and obtain improved orbital parameters.
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 Abstract— Brain computer interfaces (BCIs) promise to provide a novel access channel for assistive technologies, including augmentative and alternative communication (AAC) systems, to people with severe speech and physical impairments (SSPI). Research on the subject has been accelerating significantly in the last decade and the research community took great strides towards making BCI-AAC a practical reality to individuals with SSPI. Nevertheless, the end goal has still not been reached and there is much work to be done to produce real-world-worthy systems that can be comfortably, conveniently, and reliably used by individuals with SSPI with help from their families and care givers who will need to maintain, setup, and debug the systems at home. This paper reviews reports in the BCI field that aim at AAC as the application domain with a consideration on both technical and clinical aspects.
Diffusion Tractography of the Corticospinal Tract with Multi-fiber Orientation Filtering

The reconstruction of the corticospinal tract in the human brain is a clinically important task for both surgical planning and population studies. Diffusion MRI tractography provides an in-vivo and patientspecific technique for mapping the tract’s geometry; however, its relationship to other bundles, such as the superior longitudinal fasciculus, presents issues for the standard tensor model, as it cannot represent their crossing fibers. We explore multi-fiber models that have been shown to overcome some of these issues, and evaluate methods for improving on previous work with model-based filtering of orientations. We conduct experiments with real clinical data including normal and tumor-infiltrated corticospinal tracts and compare the single tensor, multi-tensor, and filtered multi-tensor approaches. We found the multi-fiber approach to allow for lateral projections of the tract to be reconstructed and found the addition of orientation filtering to reduce outlier fibers and increase the number of lateral projections. Our results suggest this approach could be considered for clinical applications of corticospinal tract modeling.
An Incident Management Ontology

This paper outlines the need for and the development of an Incident Management Ontology. The Incident Management Ontology is derived from an Incident Management Meta-Model. We describe the shortcomings of the Incident Management Meta-Model and how the Incident Management Ontology addresses these shortcomings. The development of the Incident Management Ontology is outlined and the need for such an ontology is discussed. Related work is described and the Incident Management Ontology’s potential uses and applications are presented. Keywords—Ontology, Incident Management, Description Logic
Detection of watermarking methods using Steganalysis

This paper presents a singular value decomposition (SVD) based steganalysis technique to determine the watermarking method used to embed a watermark in an image. The detection is carried out in three steps. First, the proposed technique determines whether an image under consideration contains a watermark. If a watermark is detected, the embedding domain is revealed. Finally, the exact watermarking algorithm is named. The idea behind the method is that when the image is watermarked, relative and strict linear dependencies of rows/columns will differ from the original image and this can be modeled by the analysis of SVD. By using SVD, several features for the classification of the original and watermarked images are defined. The classification operation including both a linear and a SVM classifier is performed with a feature selection algorithm, which serves to reduce the number of features and to increase the detection performance. The performance of the proposed technique is promising and simulation results indicate that the chosen features can reliably detect the watermarking domain as well as the watermarking method.
Experiments With The Lucas Asset Pricing Model

For over thirty years, the model of Lucas (1978) has been the platform of research on dynamic asset pricing and business cycles. This model restricts the intertemporal behavior of asset prices and ties those restrictions to cross-sectional behavior (the \equity premium"). The intertemporal restrictions reject the strictest interpretation of the Ecient Markets Hypothesis, namely, that prices should follow a martingale. Instead, prices move with economic fundamentals, and to the extent that these fundamentals are predictable, prices should be too. The Lucas model also prescribes the investment choices that facilitate smoothing of consumption over time. Here, we report results from experiments designed to test the primitives of the model. Our design overcomes, in novel ways, challenges to generate demand for consumption smoothing in the lab, and to induce stationarity in spite of the nite duration of lab experiments.
Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents

In this study we characterize the extent to which cyber security incidents, such as those referenced by Verizon in its annual Data Breach Investigations Reports (DBIR), can be predicted based on externally observable properties of an organization's network. We seek to proactively forecast an organization's breaches and to do so without cooperation of the organization itself. To accomplish this goal, we collect 258 externally measurable features about an organization's network from two main categories: mismanagement symptoms, such as misconfigured DNS or BGP within a network, and malicious activity time series, which include spam, phishing, and scanning activity sourced from these organizations. Using these features we train and test a Random Forest (RF) classifier against more than 1,000 incident reports taken from the VERIS community database, Hackmageddon, and the Web Hacking Incidents Database that cover events from mid-2013 to the end of 2014. The resulting classifier is able to achieve a 90% True Positive (TP) rate, a 10% False Positive (FP) rate, and an overall 90% accuracy.
Conditional Ablation of Striatal Neuronal Types Containing Dopamine D2 Receptor Disturbs Coordination of Basal Ganglia Function

Dopamine (DA) exerts synaptic organization of basal ganglia circuitry through a variety of neuronal populations in the striatum. We performed conditional ablation of striatal neuronal types containing DA D2 receptor (D2R) by using immunotoxin-mediated cell targeting. Mutant mice were generated that express the human interleukin-2 receptor α-subunit under the control of the D2R gene. Intrastriatal immunotoxin treatment of the mutants eliminated the majority of the striatopallidal medium spiny neurons and cholinergic interneurons. The elimination of these neurons caused hyperactivity of spontaneous movement and reduced motor activation in response to DA stimulation. The elimination also induced upregulation of GAD gene expression in the globus pallidus (GP) and downregulation of cytochrome oxidase activity in the subthalamic nucleus (STN), whereas it attenuated DA-induced expression of the immediate-early genes (IEGs) in the striatonigral neurons. In addition, chemical lesion of cholinergic interneurons did not alter spontaneous movement but caused a moderate enhancement in DA-induced motor activation. This enhancement of the behavior was accompanied by an increase in the IEG expression in the striatonigral neurons. These data suggest that ablation of the striatopallidal neurons causes spontaneous hyperactivity through modulation of the GP and STN activity and that the ablation leads to the reduction in DA-induced behavior at least partly through attenuation of the striatonigral activity as opposed to the influence of cholinergic cell lesion. We propose a possible model in which the striatopallidal neurons dually regulate motor behavior dependent on the state of DA transmission through coordination of the basal ganglia circuitry.
A Service Composition Method for Mobile Environment

A service composition method for mobile environment is put forward to build new application system based on existing mobile services and service composition technologies. This method accomplishes semi-automatic service composition based on service composition template. Service component technology is used to manage heterogeneous services in mobile environment. By integrating distributed, dynamic service discovery mechanism, and service management/replacement mechanism based on QoS, this method will efficiently support service composition process in mobile environment.
A Quantitative Systems Approach Reveals Dynamic Control of tRNA Modifications during Cellular Stress

Decades of study have revealed more than 100 ribonucleoside structures incorporated as post-transcriptional modifications mainly in tRNA and rRNA, yet the larger functional dynamics of this conserved system are unclear. To this end, we developed a highly precise mass spectrometric method to quantify tRNA modifications in Saccharomyces cerevisiae. Our approach revealed several novel biosynthetic pathways for RNA modifications and led to the discovery of signature changes in the spectrum of tRNA modifications in the damage response to mechanistically different toxicants. This is illustrated with the RNA modifications Cm, m5C, and m2 2G, which increase following hydrogen peroxide exposure but decrease or are unaffected by exposure to methylmethane sulfonate, arsenite, and hypochlorite. Cytotoxic hypersensitivity to hydrogen peroxide is conferred by loss of enzymes catalyzing the formation of Cm, m5C, and m2 2G, which demonstrates that tRNA modifications are critical features of the cellular stress response. The results of our study support a general model of dynamic control of tRNA modifications in cellular response pathways and add to the growing repertoire of mechanisms controlling translational responses in cells.
Sentiment Classification of Chinese Traveler Reviews by Support Vector Machine Algorithm

Nowadays, online word-of-mouth has turned to be a very important resource for electronic businesses. How to analyze user generated reviews and to classify them into different sentiment classes is gradually becoming a question that people pay close attention to. In this field, special challenges are associated with the mining of traveler reviews. At present, there is some research on sentiment analysis for English traveler generated reviews, but very few studies pay attention to sentiment analysis for traveler reviews in Chinese. China is the largest country in terms of the number of Internet users. Internet technologies are gradually playing more and more important roles for many industries including tourism industry. The lack of sentiment analysis methods will block the use of word-of-mouth for tourism industry in China. To solve the problem, this study conducts an exploring research on sentiment analysis to Chinese traveler reviews by support vector machine (SVM) algorithm. The experiment data of Chinese reviews for hotels are downloaded from www.ctrip. com, the largest online travel agency in China. Empirical results indicate that, comparing to prior studies on English reviews, SVM algorithm can gain a very well performance of sentiment classification for traveler reviews in Chinese.
FAMILY’S EXPERIENCES IN TAKING CARE PATIENTS WITH HALLUCINATION

ABSTRACT Hallucination is one of positive symtoms that occurred in patient with schizophrenia. It is also the wrong perception experienced by the patients without any stimulus from their surroundings. The perception experiences are real for the patients while others do not experience the same perception with them. This study aims to describe family’s experiences of taking care patients with hallucination. This research took 15 participants. Trust process and approaches were conducted before carrying out an in depth interview. This research was conducted at Mental Health Hospital of Prof. Ildrem Medan. The data were analyzed by using Collaizi’s technique. The results found thats themes: the burden had by the family when taking care of the patients, the impacts of hallucination, the actions taken by the family and the obstacles faced by family while taking care of the patients with hallucination. This research provides the descriptions to all health care providers in taking care person with schizofrenia. Keywords: Hallucinations, experience, family.
A wearable pre-impact fall detector using feature selection and Support Vector Machine

Falls and the resulting injuries in the elderly are a major public health problem, thus the early detection of falls is of great significance. The purpose of this study was to investigate the feasibility of a novel pre-impact fall detector prototype capable of detecting impending falls in their descending phase before the body hits the ground. A wearable tri-axial MEMS accelerometer was used for data collection of human motion information and a pair of wireless transceivers was used to transmit acceleration data to a PC for data analysis. Feature vector derived from time-domain characteristics was generated and feature selection was then performed to obtain the features with the most discrimination power. Fall detection algorithm using Support Vector Machine was developed and evaluated. The overall system was tested and results showed that all falls could be detected with an average lead-time of 203ms before impact, and no false alarm occurred. The proposed system will lead to potential applications for preventing or reducing fall-related injuries.
Labor Market Dualization and Insider–Outsider Divides: Why This New Conflict Matters

Reflecting the importance of inequality for individuals’ lives, the implications of labor market inequality for core elements of democracy are crucial topics in comparative politics and comparative political economy. This article critically reviews the main findings of the emerging literature on insider–outsider divides to highlight its possible contributions to adjacent fields, in particular the research on party politics, the literatures on economic voting, political participation, and democratic representation or the study of social movements. The conflict between labor market insiders and outsiders demonstrates that in today’s societies with their diversified risk structure and sophisticated welfare states, distributive conflicts are about specific social and regulatory policies that have different implications for individuals depending on their situation on the labor market. By drawing our attention to new divides within the social democratic electorate, the insider–outsider literature reveals an additional argument why the social democratic parties find it hard to mobilize their voters and to win elections. Moreover, the insider–outsider literature can help to bring the economic dimension of politics back to the study of social movements and to light on the relationship between contentious and conventional politics.