Miracle-dz/UniFAR-FTUs huggingface dataset:
CO-INTEGRATION DAN CONTAGION EFFECTANTARA PASAR SAHAM SYARIAHDI INDONESIA, MALAYSIA, EROPA, DANAMERIKA SAAT TERJADINYA KRISISYUNANI

This study aims to analyze the impact of the crisis in Greece against the Islamic movement of stock prices in Indonesia, Malaysia, America, and Europe. In addition, this study also analyzed the long-term relationship (co-integration) and the effects of transmission (contagion effect) which occurs during this period. This study was made because there are differences between the results of researchon U.S. Subprime Mortgage crisis period about the impact of Islamic stock markets. This study uses VAR (Vector Auto Regressive) and VECM (Vector Error Correction Model) to test the hypothesis with eviews 6 used as statistical analysis tools. The data used in this study is the weekly closing stock price index taken from representatives of Islamic stock market of each country, JII for Indonesia, DJIMY for Malaysia, DJIM for America, and MSCI for Europe. The results showed that there was no significant effect on the influence arising from the crisis. However, long-term relationship between the four countries is quite good but it seems that contagion effect exsist on the movement of stock prices in the fourth Islamic countries
Map Merging Strategies for Multi-robot FastSLAM: A Comparative Survey

A comparative survey between the two basic strategies used to combine partial landmark based maps in multi-robot systems, data association and inter-robot observations (Rendezvous), is presented. The simulated environment is a flat place populated by trees, which are going to be mapped by a two-mobile robot team equipped with laser range finders in order to measure every tree (landmark) location and width. Partial maps are estimated using the algorithm FastSLAM2.0.
The interdependence between stock markets of BRIC and developed countries and the impact of oil prices on this interdependence

In recent years there has been a surge in interest in two branches of research. The first is the analysis of cross‐market linkages, arising from portfolio diversification analysis, in order to measure integration between countries. The second larger branch of research is the oil price effect, which has its roots in the effect of oil prices on economic activity. Specifically the impact of oil prices on stock market behaviour which, in turn, is regarded as being representative of economic activity. This thesis attempts to measure the effect of the oil prices on cross‐market linkages between stock markets. The analysis is performed utilising the Cheung and Ng (1996) causality‐in‐mean/variance test where the effect of the oil price on cross‐market linkages is estimated as the percentage change of the magnitude of the CCF coefficient after adjustment for the oil price. Daily data nonsynchronisation correction and the application of the rolling window method as a stability test contribute to the reliability of the estimation outcomes. Recognising the significance of oil prices for the development of the world economy, the research is focused on BRIC and mature market economies providing a mix of countries regarding their economic profile(emerging/developed) and oil‐status (net oil imported/self‐sufficient/exporter). A complementary effect of oil prices on cross‐market linkages was found for the pairs of countries with similar oil status and economic profile. However, the outcome for mixed pairs does not demonstrate a prominent trend. In general, the effect of the oil price on cross‐market linkages is found to be smaller in contemporaneous terms, while higher lag dependencies are described by a higher percentage change in the magnitude of cross‐market dependencies. The research demonstrates that the application of oil price adjustment, whilst exploring crossmarket linkages, may be an appropriate technique for determining the level of integration between pairs of countries where the sign of the percentage change is confirmed as stable.
The pattern of environmental education practice at schools and its impact to the level of environmental literacy of school-age student

The study aims to learn the level of environment literacy of younger-age student at school level. Moreover the descriptive study was used to learn how the lesson leads to student literacy on environment. The questioner (consist of 21 statement) and class observation sheet where used to gain the data. The subjects involved were student from the primary, secondary, and higher schools (totally 124 students). They come from the highest school level at one of the city in West Java-Indonesia. Data were analyzed descriptively. The research shows that student literacy of environment were good in category in all of schools level. In primary school was overall good and categorized high with average 81,22 (lower was 80,37 and higher 82,036). In junior high school level, also overall good and categorized high with average 80,724. The another in senior high school level, also overall good and categorized high with average 79,62. However, the level of environmetal understanding is higher than application and awareness aspects. Nevertheless, the observation come from the learning shows that the learning were not done as it is expected. Based on questioner, most of student said that they learn the environment mostly from non-formal education (through the family or home education). They have knowledge about the environment from both of school and home, but the practices and action was modelled at home. The follow up study is recommended to complete the research, with the larger coverage.
Automated Multi-Modal Search and Rescue using Boosted Histogram of Oriented Gradients

Automated Multi-Modal Search and Rescue using Boosted Histogram of Oriented Gradients Matthew Lienemann Unmanned Aerial Vehicles (UAVs) provides a platform for many automated tasks and with an ever increasing advances in computing, these tasks can be more complex. The use of UAVs is expanded in this thesis with the goal of Search and Rescue (SAR), where a UAV can assist fast responders to search for a lost person and relay possible search areas back to SAR teams. To identify a person from an aerial perspective, low-level Histogram of Oriented Gradients (HOG) feature descriptors are used over a segmented region, provided from thermal data, to increase classification speed. This thesis also introduces a dataset to support a Bird’s-Eye-View (BEV) perspective and tests the viability of low level HOG feature descriptors on this dataset. The low-level feature descriptors are known as Boosted Histogram of Oriented Gradients (BHOG) features, which discretizes gradients over varying sized cells and blocks that are trained with a Cascaded Gentle AdaBoost Classifier using our compiled BEV dataset. The classification is supported by multiple sensing modes with color and thermal videos to increase classification speed. The thermal video is segmented to indicate any Region of Interest (ROI) that are mapped to the color video where classification occurs. The ROI decreases classification time needed for the aerial platform by eliminating a per-frame sliding window. Testing reveals that with the use of only color data and a classifier trained for a profile of a person, there is an average recall of 78%, while the thermal detection results with an average recall of 76%. However, there is a speed up of 2 with a video of 240x320 resolution. The BEV testing
Effect of white LED DC-bias on modulation speed for visible light communications

The light emitting diode (LED) nonlinearities distortion induced degradation in the performance of visible light communication (VLC) systems can be controlled by optimizing the DC bias point of the LED. In this paper, we theoretically analyze and experimentally demonstrate the effect of white LED DC bias on nonlinear modulation bandwidth and dynamic range of the VLC system. The linear dynamic range is enhanced by using series-connected LED chips, and the modulation bandwidth is extended to 40 MHz by post-equalization without using a blue filter. The experimental results well match the theoretical model of LED nonlinear modulation characteristics. The results show that the modulation bandwidth increases and saturates with an increase in LED DC bias current due to nonlinear effect of carrier lifetime and junction capacitance. The optimized DC-bias current that corresponds to the minimum BER increases with the increase of data rate. A 60-Mbps NRZ transmission can be achieved with BER threshold of 10-3 by properly adjusting LED DC bias point.
Diagnosis of Deep Vein Thrombosis: How Many Tests Do we Need ?

Abstract The requirement for a safe diagnostic strategy should be based on an overall post-test incidence of venous thromboembolism (VTE) of less than 1% during 3 month follow-up. Compression ultrasonography (CUS) has a negative predictive value (NPV) of 97 to 98% indicating a post-CUS incidence of deep vein thrombosis (DVT) of 2 to 3%. A post-CUS DVT incidence of 3% implicates that 90 to 120 DVTs per 1 million inhabitants will be overlooked each year indicating the need to improve the diagnostic work-up of DVT as much as possible. The qualitative D-dimer test (SimpliRed) has a sensitivity of 82 to 89% and a negative predictive value of 94 to 95% indicating a 5 to 6% post-test incidence of DVT, which is not sensitive enough for venous thrombosis exclusion. The post-test DVT incidence could be reduced from 3.2% to 0.6% in one study and from 11% to 2% in another study by the combination of a normal CUS and low clinical score and from 4,5% to 1.6% by the combination of low clinical score and a negative SimpliRed test in one study. The combination of a negative CUS and a negative SimpliRed test reduced the post-test incidence of DVT from 2.6% to < 1% or even < 1%o in two management studies without the need of a repeated CUS on the basis of which anticoagulant therapy can safely be withheld. The rapid quantitative turbidimetric D-dimer assay (Tinaquant) has a sensitivity and a negative predictive value (NPV) of 97.7% with a 2.3% post-test incidence of DVT. The combination of a normal Tinaquant D-Dimer test result plus a low to moderate clinical score reduces the post-test incidence of DVT from 2.3 to 0,6% without the need of CUS testing in 29% of patients with suspected DVT. The rapid ELISA VIDAS D-dimer assay has a sensitivity and NPV of 98,6 and 99.5% in two management studies for the exclusion of DVT irrespective of clinical score. The combination of a normal ELISA VIDAS D-Dimer test with clinical score assessment will reduce the post-test DVT incidence of less than 0.5% and the need for CUS testing by 40 to 50%. It is concluded that the sequential use of a rapid quantitative D-dimer test, clinical score and CUS appears to be safe and the most cost-effective diagnostic work-up of DVT.
Low-Rank Matrix Completion for Positive Semidefinite Matrices

In this report we lower the bounds on the number of required sampled entries for reconstructing lowrank positive semidefinite matrices through nuclear norm minimization. We show for an n × n matrix of rank r only O(rn log n log log n) samped entries are needed to complete the matrix as compared to previous work’s O(rn log2 n) entries. We obtain this result by using rejection sampling when constructing a dual variable certificate.
Improving the psychosocial wellbeing of international students: the relevance of mindfulness

ABSTRACT In this study we analysed the potential of a mindfulness programme for improving psychosocial wellbeing among students at a Dutch university. Based on interviews and observations of sessions, the study demonstrated that students joined the programme to manage stress and anxiety, cultivate self-awareness, and regulate difficult emotions. They all reported positive outcomes, but students who participated in the sessions regularly and did the homework assignments reported better outcomes, including enhanced self-awareness, self-care, and positive attitudes towards others. Although students reported improved emotion regulation, many still believed that the programme was less strong in this area. The study affirms the potential of mindfulness programmes for improving the psychosocial wellbeing, and builds a case for the integration of mindfulness interventions in university counselling services.
Outdoor augmented reality tracking using 3D city models and game engine

Augmented Reality (AR) refers to the science and technology which enables 3D/2D computer graphics to overlay video frames in real time so as to add contextual information to deepen people's understanding of the real scene. In particular, outdoor AR as an emerging technology opens up new possibilities and applications for Location Based Services (LBS). As with the increasing amount of 3D city models and development of 3D computer graphics technology, insufficient research attention has been put into 3D city model based AR navigation, this paper aims to contribute to outdoor AR tracking research by using 3D city models and a 3D game engine. The camera pose and position are calculated through 2D/3D correspondence between the live video frame and 3D city models. The augmented live video feed is rendered in a 3D game engine while the 3D model runs in the background to facilitate the real time registration of virtual objects into the real scene as well as position determination of the moving camera.
Non Invasive Brain Computer Interface for Movement Control

There are alternate methods that ease the movement of wheelchairs such as voice control, joystick control etc. Despite the claim that these measures has proved to be useful, the serious disadvantage is that it cannot aid people who suffer from Slow Cortical Potentials SCPs. Hence there is a delay between the mechanical inputs and therefore a delay in response from the system. The proposed work in this area of research is the Use of EEG and a BCI to detect the signals from the brain. A hand held EEG is connected with the Subject's brain with an interfacable GUI. The principle used here is “The oddball paradigm”, According to this; The EEG that is placed strategically on the motor cortex of the brain collects the analog P300 signals amplifies them converts them into digital signal and renders it to the hand held embedded computer. The Computer has programmed BCI 2000 software running in it is for signal translation and feature extraction.
Conceptualising Business Knowledge in SMEs: Sectoral Recipes and Activity Systems

This research investigates patterns of sensemaking across a broad sample of SMEs. We hypothesise that managers make sense of, as well as shape, their world through a variety of mediating mechanisms. To identify patterns of organizational 'knowing' we utilise the term 'industry recipe' Within activity systems, knowledge and practices of 'knowing' are contested because identities, conceptions of activity and mediating artefacts, including language, are held in dynamic rather than static relations (Engeström, 1999). Our sample of 96 SMEs will be selected according to two criteria: first, sectoral variations incorporating services, knowledge-based and manufacturing. Secondly, the level of maturity encompassing start-up, mature and rapid growth. Composite cognitive maps (Clarke and Mackaness, 2000) will reveal 'practices of knowing' and 'recipes' adopted within activity systems. In addition, personal diaries will provide a narrative of how managers understands their activities and how understanding change during periods of uncertainty (Gold et al., 2002). We will adopt a 'Mode 2' methodology including institutions such as the Small Business Service (SBS). The research is designed to reconceptualise understanding of 'practices of knowing' adopted by managers in response to situations of uncertainty.
Benefit of Clopidogrel in Patients With Acute Coronary Syndromes Without ST-Segment Elevation in Various Risk Groups

Background—The Clopidogrel in Unstable angina to prevent Recurrent Events (CURE) trial demonstrated that clopidogrel, given early and continued long term, was superior to placebo in patients with non-ST–elevation acute coronary syndromes receiving aspirin. The purpose of the present analysis was to estimate the treatment effect Zof clopidogrel in patients who were stratified according to their risk of future cardiovascular events. Methods and Results—Patients (n=12 562) who presented within 24 hours after the onset of symptoms were randomized to receive clopidogrel (300 mg followed by 75 mg daily) or placebo in addition to aspirin for 3 to 12 months. Treatment effect was analyzed in various risk groups according to the Thrombolysis in Myocardial Infarction (TIMI) risk score. The TIMI risk model was validated in the CURE population (C statistic, 0.634). The primary composite outcome of cardiovascular death, myocardial infarction, or stroke increased proportionally with increasing risk according to the TIMI risk score. The impact of clopidogrel versus placebo on the rate of the primary outcome was as follows: low-risk group (TIMI score 0 to 2), 4.1% versus 5.7% (relative risk [RR], 0.71; 95% confidence interval [CI], 0.52 to 0.97;P < 0.04), intermediate-risk group (TIMI score 3 to 4), 9.8% versus 11.4% (RR, 0.85; 95% CI, 0.74 to 0.98;P <0.03), and high-risk group (TIMI score 5 to 7), 15.9% versus 20.7% (RR, 0.73; 95% CI, 0.60 to 0.90;P <0.004). There was no evidence of statistical heterogeneity among the groups. Conclusions—The benefit of clopidogrel demonstrated in the CURE trial is consistent in low-, intermediate-, and high-risk patients with acute coronary syndromes (as stratified by TIMI risk score), thus supporting its use in all patients with documented non–ST elevation acute coronary syndromes.
Evidence for the prevention of enthesitis in HLA-B27/hβ2m transgenic rats treated with a monoclonal antibody against TNF-α

Transgenic rats with high expression of HLA‐B27 and human β2‐microglobulin (B27TR) develop a multisystem inflammatory disease resembling human inflammatory bowel disease (IBD) and spondyloarthropaties (SpA). Tumour necrosis factor α (TNF‐α) has a crucial role in sustaining chronic inflammation in the gut and joints. The aim of this work was to evaluate whether TNF‐α blockade could prevent or reduce the inflammation of peripheral joints in B27TR. A first group of 9‐week‐old B27TR received an anti‐TNF‐α monoclonal antibody (mAb) or an isotypic IgG2a,k up to the age of 18 weeks. An untreated group was monitored up to the age of 18 weeks and then randomly assigned to a 9‐week treatment with anti‐TNF‐α mAb or IgG2a,k. Each rat was monitored for clinical IBD and peripheral joint manifestations. After sacrifice the colon and hind paws were examined for macroscopical and microscopical pathological changes. Early TNF‐α blockade prevented, and late treatment improved IBD signs in B27TR. Erythema, oedema, inflammatory infiltrate close to the tendons and enthesis, proliferating chondrocyte‐like cells, signs of new endochondral bone ossification and bone erosion were observed in peripheral joints of four out of six IgG2a,k‐treated B27TR, both at 18 and 27 weeks. Immunopositivity for phosphorylated Smad1/5/8 indicated that the process of joint remodelling was activated in B27TR. Some entheses showed chondroid nodules. Anti‐TNF‐α treatment reduced inflammation and preserved the enthesis organization in most animals. Occasional and transient erythema and oedema were still present in three of six of the late anti‐TNF‐α‐treated animals. Smad1/5/8 signalling was not inhibited by late anti‐TNF‐α treatment. In B27TR, articular involvement follows IBD onset and develops at entheses. Early TNF‐α blockade prevents the onset of IBD and consequently the development of enthesitis in peripheral joints in the B27TR model of human SpA.
Rescue of Impaired Fear Extinction and Normalization of Cortico-Amygdala Circuit Dysfunction in a Genetic Mouse Model by Dietary Zinc Restriction

Fear extinction is impaired in neuropsychiatric disorders, including posttraumatic stress disorder. Identifying drugs that facilitate fear extinction in animal models provides leads for novel pharmacological treatments for these disorders. Zinc (Zn) is expressed in neurons in a cortico-amygdala circuit mediating fear extinction, and modulates neurotransmitter systems regulating extinction. We previously found that the 129S1/SvImJ mouse strain (S1) exhibited a profound impairment in fear extinction, coupled with abnormalities in the activation of the extinction circuit. Here, we tested the role of Zn in fear extinction in S1 and C57BL/6N reference strain (B6) by feeding the mice a Zn-restricted diet (ZnR) and testing for fear extinction, as well as neuronal activation of the extinction circuit via quantification of the immediate-early genes c-Fos and Zif268. Results showed that (preconditioning or postconditioning) ZnR completely rescued deficient extinction learning and long-term extinction retrieval in S1 and expedited extinction learning in B6, without affecting fear acquisition or fear expression. The extinction-facilitating effects of ZnR were associated with the normalization of Zif268 and/or c-Fos expression in cortico-amygdala regions of S1. Specifically, ZnR increased activity in infralimbic cortex, lateral and basolateral amygdala nuclei, and lateral central amygdala nucleus, and decreased activity in prelimbic and insular cortices and medial central amygdala nucleus. ZnR also increased activation in the main intercalated nucleus and decreased activation of the medial paracapsular intercalated mass in S1. Our findings reveal a novel role for Zn in fear extinction and further support the utility of the S1 model for identifying extinction facilitating drugs.
Atlas warping for brain morphometry

In this work, we describe an automated approach to morphometry based on spatial normalizations of the data, and demonstrate its application to the analysis of gender differences in the human corpus callosum. The purpose is to describe a population by a reduced and representative set of variables, from which a prior model can be constructed. Our approach is rooted in the assumption that individual anatomies can be considered as quantitative variations on a common underlying qualitative plane. We can therefore imagine that a given individual's anatomy is a warped version of some referential anatomy, also known as an atlas. The spatial warps which transform a labeled atlas into anatomic alignment with a population yield immediate knowledge about organ size and shape in the group. Furthermore, variation within the set of spatial warps is directly related to the anatomic variation among the subjects. Specifically, the shape statistics--mean and variance of the mappings--for the population can be calculated in a special basis, and an eigendecomposition of the variance performed to identify the most significant modes of shape variation. The results obtained with the corpus callosum study confirm the existence of substantial anatomical differences between males and females, as reported in previous experimental work.
LIA at the NTCIR-10 INTENT Task

This paper describes the participation of the LIA team in the English Subtopic Mining subtask of the NTCIR-10 INTENT2 Task. The goal of this task was to specialize or disambiguate web search queries by identifying the different subtopics that could refer to these queries. Our motivation was to take a conceptual approach, therefore representing the query by a set of concepts before identifying the related subtopics. However we seem to have misunderstood the real point of this task, which was in fact focused on generating web query suggestion: official results therefore do not show support for our initial motivation.
Indian Attitude towards Physical Activities

Indians have been engaging in physical activities since the start of the century. Whether inspired by actors or sportsmen, they have started taking measures to stay fit. This research aims at the determining the attitude displayed by Indians toward Physical activities. The sample size was 66. Excel techniques were used to test the hypotheses. The statistical tests lead to the conclusion that Indians display a positive attitude towards physical activities