Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Market Hypothesis and Market Anomalies of LQ 45 Index in Indonesia Stock Exchange

The paper attempts to investigate the validity of the Efficient Market Hypothesis and the existence of calendar effect on Indonesia Stock Exchange Market. Initially, this paper discusses types of EMH also the literature available regarding this topic. The sample of research is twenty one securities listed in LQ 45 Index on the Indonesia Stock Exchange Market (IDX), this paper applies non parametric tests which are Run test, Kruskal-Wallis test, Mann-Whitney test parametric test which are series correlation test, One-way Anova test and independent t-test two sample. Based on the results of the test of this paper, it can be concluded that Weak Form Efficient Market exists in LQ 45 Index of IDX while Day of the Week Effect and Month of the Year Effect are not found to exist in LQ 45 Index of IDX. In conclusion, it is observed that the effect of stock prices for the sample companies on future prices is very meager and an investor cannot reap profits by using the historical share price data as the current share prices already reflect the effect of past share prices data.
Survey on Pedestrian Detection Technology

Pedestrian detection is an active and challenging research topic in the field of computer vision. It has a lot of important applications in intelligent transportation,robot development,video surveillance and so on. Many different pedestrian detection methods are proposed. The typical pedestrian methods are classified into three categories according to the image features used. Merits and demerits of each class are discussed in detail. At the same time,the characteristics of some commonly used pedestrian datasets are introduced. Some problems with this research topic are analyzed. Finally the trend of this work is given.
Data hiding techniques: an innovative approach to video interactivity

Nowadays, the multimedia consumer is introduced to an entirely new multimedia concept, namely the enriched media. The versatility of the digital networks alongside with the new, intelligent terminals, have allowed the creation and distribution of the classic media types enhanced with additional content information, introducing new features, from the trivial media-related information (e.g. EXIF data for the still images, ID3 tag for the MP3 music) to display/play information and interactive behaviour. However, these new features are hardly available on classic distribution networks. This paper presents an innovative approach to multimedia enrichment, allowing not only the distribution of this type of media over older networks, but its compact and unitary handling as well. The enriching information is inserted directly into the host media by means of data hiding techniques. The experiments were carried out in cooperation with the SFR (Vodafone group) wireless service provider in France.
Systemic Risk and Dynamics of Stock Prices: A Short and Long Run Analysis from Nigeria Capital Market

This study examined the effect of systemic risk on the dynamics of stock prices in Nigeria capital market. The objective was to investigate the dynamic effect of systemic risk on stock prices traded on the floor of Nigeria stock exchange. Time series data was sourced from Central Bank of Nigeria Statistical Bulletin from 1990-2017. Stock prices were modeled as the function of prices risk, liquidity risk, interest rate risk and exchange rate risk. Multiple regression with ordinary least square properties of co-integration was used to examine the relationship between the dependent and the independent variables. The study found price and liquidity risk have positive effect on stock price while interest rate and exchange rate risk have negative effect on stock prices of equities traded on Nigeria stock exchange. It concludes that systemic risk has significant effect on stock prices and recommends, among others, that the management of the capital market should ensure that the operating environment is risk minimum to ensure appreciable stock prices by developing strategies and policies aim at managing the systematic risk in the operating environment and engage a regular environmental impact assessment on systemic risk, to avert it’s negative effect on stock prices.
Risk Sharing and Financial Contagion in Asia : An Asset Price Perspective

This paper assesses financial integration in Asia in terms of risk-sharing benefit versus financial-contagion cost. We construct a new measure of risk sharing based on a term structure model, which allows identification of realized stochastic discount factors. Risk sharing is low in Asia, and varies across time and countries, whereas contagion risks are more significant intra-regionally, and relatively stable over the past decade. An overall tradeoff exists between risk sharing and contagion, but the terms of tradeoffs vary across countries, depending on relative economic fluctuations and inflation differentials. Asia, therefore, can potentially enhance risk sharing without raising contagion risk.
Sparse PCA Asymptotics and Analysis of Tree Data

DAN SHEN: Sparse PCA Asymptotics and Analysis of Tree Data. (Under the direction of J. S. Marron and Haipeng Shen.) This research covers two major areas. The first one is asymptotic properties of Principal Component Analysis (PCA) and sparse PCA. The second one is the application of functional data analysis to tree structured data objects. A general asymptotic framework is developed for studying consistency properties of PCA. Assuming the spike population model, the framework considers increasing sample size, increasing dimension (or the number of variables) and increasing spike sizes (the relative size of the population eigenvalues). Our framework includes several previously studied domains of asymptotics as special cases, and for the first time allows one to investigate interesting connections and transitions among the various domains. This unification provides new theoretical insights. Sparse PCA methods are efficient tools to reduce the dimension (or number of variables) of complex data. Sparse principal components (PCs) can be easier to interpret than conventional PCs, because most loadings are zero. We study the asymptotic properties of these sparse PC directions for scenarios with fixed sample size and increasing dimension (i.e. High Dimension, Low Sample Size (HDLSS)). We find a large set of sparsity assumptions under which sparse PCA is still consistent even when conventional PCA is strongly inconsistent. The consistency of sparse PCA is characterized along with rates of convergence. The boundaries of the consistent region are clarified using an oracle result. Functional data analysis has been very successful in the analysis of data lying in standard Euclidean space, such as curve data. However, with recent developments in fields such as medical image analysis, more and more non-Euclidean spaces, such as tree-structured data, present great challenges to statistical analysis. Here, we use the Dyck path approach from probability theory to build a bridge between tree space and curve space to exploit the power
Diagnostic And Statistical Manual Of Mental Disorders Dsm 5 5th Edition

Thank you very much for downloading diagnostic and statistical manual of mental disorders dsm 5 5th edition. As you may know, people have look hundreds times for their favorite novels like this diagnostic and statistical manual of mental disorders dsm 5 5th edition, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some malicious bugs inside their laptop.
Better together: a day hospital's move towards integrated care

This article will present how an interdisciplinary team working within a day hospital in an acute NHS Foundation Trust embraced the opportunities of practice development to work ‘better together’ to meet the complex needs of individuals using the service.By working closely with key stakeholders, the team developed an integrated service intersecting both primary and secondary care boundaries.The principles of practice development, including shared vision and focus, ensured changes made to the service were patient centred. These changes included a 360-degree assessment by professional staff with extended skills beyond their own professional role, and a virtual ward round, where individual patients are reviewed by an interdisciplinary team in the community with a focus on avoiding hospital admission, with quicker access to the day hospital. The team worked closely with their local university towards achieving practice development unit status, demonstrating a rigorous approach to the development of services provided by the day hospital.The article highlights both the value of practice development and significantly the value of an interdisciplinary team working within a day hospital setting.
Semantic information retrieval for geoscience resources : results and analysis of an online questionnaire of current web search experiences

An online questionnaire “Semantic web searches for geoscience resources” was completed by 35 staff of British Geological Survey (BGS) between 28th July 2015 and 28th August 2015. The questionnaire was designed to better understand current web search habits, preferences, and the reception of semantic search features in order to inform PhD research into the use of domain ontologies for semantic information retrieval. The key findings were that relevance ranking is important in focussed searches that seeks the answer to a specific question, because 50% of people only look at the first 10 results. Relevance ranking is important but not so critical for broad reaching literature and data gathering searches because 88% of respondents would typically assess more than 10 results in this case. A large majority of respondents usually or sometimes had to perform multiple searches or construct advanced searches in order to include all relevant variations in terminology, and an optional feature in the search engine that expanded the search terms for them would be beneficial and desirable. All respondents reported that their search results were at some point, dominated by irrelevant result entries. Asked how a feature that disambiguates terms in search queries should be implemented, 81% will like to be able to specify intended context/meaning of search terms but only when such terms are ambiguous. The conclusion was that the collected responses, though a small sample, indicated vast support for the implementation of semantic search features to add narrower or equivalent terms to original search intent and to specify the context/meaning of ambiguous search terms, but the respondents preferred to be in control of whether or not those features were implemented on each search.
Generic capabilities for lifelong education: conceptualization and construct validity

To facilitate lifelong learning, recent education reforms have emphasized the development of generic capabilities. However, despite various lists found in previous studies, generic skills and capabilities have neither been well defined nor statistically validated. The present study attempted to (a) conceptualize generic capabilities in terms of 3 dimensions - cognitive, academic, and self, and (b) test the construct validity of generic capabilities using confirmatory factor analysis. Students who attended a continuing education program that was designed to provide an alternative pathway for students who failed in the Hong Kong secondary school system to pursue continuing education (N=2,806) responded to 13 survey items about their generic capabilities before the program (Time 1) and 13 parallel items after it (Time 2). Results supported a multidimensional structure of generic capabilities with the three dimensions at each time point. The conceptualization of a multidimensional structure provides a useful framework for the study of generic capabilities. It also calls for attention to the importance of generic capabilities in curriculum design.
Exchange Rate Pass-Through in Brazil

In the last two years the real has undergone a large depreciation and the central bank has missed its inflation target in 2002 for the second year in a row. Inflation, however, has increased much less than the rate of currency depreciation and the pickup in inflation in the last quarter of 2002 raises the question of whether the exchange rate passthrough has finally risen. This paper argues that the passthrough in Brazil has fallen compared with estimates in other studies on earlier time periods, and remains low when compared with the passthrough in other Latin American countries. Indeed the passthrough is more comparable with that of G-7 countriesalthough in Brazil the effect on prices appears to be faster
PHYSIOLOGICAL SIGNALS AND VEHICLE PARAMETERS MONITORING SYSTEM FOR EMERGENCY PATIENT TRANSPORTATION

The developments in semiconductor electronics and wireless communication have enabled development of new systems for monitoring patient’s health parameters in emergency and alerting the doctors by sending the monitored data from patient’s location. It takes certain amount of time, to begin the treatment of the patient after reaching the hospital, in view of conducting various diagnostic tests to know patient’s health status. This time is crucial in the golden hour. If patient’s physiological parameters record is sent from emergency vehicle to the monitoring station using wireless technology, while transporting the patient to the hospital, this data would help in prior diagnosis of patient’s health condition and making necessary arrangements for initiating the treatment. In this paper, we have reported a prototype of emergency patient monitoring system that monitors vital physiological parameters and vehicle parameters such as pulse rate, oxygen saturation level, body temperature, location and speed of vehicle and fuel level.
Big Data Architecture Design for the Development of Hyper Live Map (HLM)

The demand for spatial data service technologies is increasing lately with the development of realistic 3D spatial information services and ICT (Information and Communication Technology). Research is being conducted on the real-time provision of spatial data services through a variety of mobile and Web-based contents. Big data or cloud computing can be presented as alternatives to the construction of spatial data for the effective use of large volumes of data. In this paper, the process of building HLM (Hyper Live Map) using multi-source data to acquire stereo CCTV and other various data is presented and a big data service architecture design is proposed for the use of flexible and scalable cloud computing to handle big data created by users through such media as social network services and black boxes. The provision of spatial data services in real time using big data and cloud computing will enable us to implement navigation systems, vehicle augmented reality, real-time 3D spatial information, and single picture based positioning above the single GPS level using low-cost image-based position recognition technology in the future. Furthermore, Big Data and Cloud Computing are also used for data collection and provision in U-City and Smart-City environment as well, and the big data service architecture will provide users with information in real time.
Software Fault Tolerance:Techniques and Prospects

The paper surveys various software fault tolerance techniques and methodologies. It starts with presenting the traditional techniques: design diversity and data diversity, and then proceeds by introducing some recently prevailing techniques——such as Reconfiguration, Rejuvenation, Error Detection by Duplicated Instructions (EDDI), SoftWare Implemented Fault Tolerance (SWIFT),and analyzes how these techniques may be applied to hardware transient fault tolerance in embedded systems,based on which the paper finally discusses possible future development trends of software fault tolerance techniques.
Pattern Recognition Technologies and Applications: Recent Advances

The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. "Pattern Recognition Technologies and Applications: Recent Advances" provides cutting-edge pattern recognition techniques and applications. Written by world-renowned experts in their field, this easy to understand book is a must have for those seeking explanation in topics such as on- and offline handwriting and speech recognition, signature verification, and gender classification.
Software defined networking and virtual machine placement in data centers

Increasing popularity of cloud computing and server virtualization has led to large Data Centers with tens of thousands of servers interconnected by a network. In a Data Center, server resources are shared by a number of Virtual Machines (VMs) and network bandwidth is shared by the traffic generated by the VMs. Recently, there has been a prominent shift from the traditional north-south traffic pattern (between servers in the Data Center and external clients) to east-west traffic pattern (between servers within the Data Center). Such traffic patterns are characterized by a mix of large number of short(mice) flows and small number of large (elephant) flows. The servers in a Data Center are connected by a Data Center network which generally uses a 3-tier multi-rooted tree topology. A key limitation of current Data Center networks is the absence of effective traffic engineering mechanism for routing traffic between servers. This results in overloading of certain links leading to congestion affecting the performance of applications. The conventional Spanning Tree Protocol (STP) does not utilize multipath diversity leading to congestion and poor network utilization. The existing Equal-Cost Multipath routing (ECMP), which is a hash-based routing method can make use of the available multiple paths. But, it does not consider the dynamic state of the network link utilization which could lead to a number of large elephant flows mapped to the same link causing congestion. Further, the capability of recently-emerged software-defined networking (SDN), VM placement, and VM migration techniques are not effectively used for dealing with congestion and failures. To address the above limitations, in this thesis, we investigated the problem of traffic engineering in Data Centers and studied several related issues focusing on congestion, fault tolerance, power consumption, and caching. Our
A Study on AI Internet Test Databank System

Computer assistant instruction(CAI)being an important part of modern higher education,test databank and automatic test paper composition system have become one important field of people’s research,and met with unprecedented development.The building of test databank system is the foundation of non-paper test,test standardization,learner individualization,on-line learning coaching and testing.The paper is a tentative probe into the relevant problems of building such a databank and in particular into the policy and alogrithm of test paper composition.
A Survey on Network Coding Techniquesto Solve MTB Problem in Wireless Networks

Advancements in Wireless Communications have attracted the study of Wireless Networks. There are several types of wireless networks such as wireless sensor networks, MANETs etc. which are gaining importance day by day. Broadcasting is a fundamental operation in one such network. Traditional method to broadcast is flooding but flooding causes severe wastage of channel and severe packet collision. To overcome this, advanced technique is Network Coding. Network Coding improves efficiency of transmission. Instead of sending individual packets separately, network coding combines the packets before forwarding them and thereby it reduces the number of transmissions which is referred as minimum transmission broadcast (MTB). In this paper the focus is mainly on the survey of network coding techniques to solve MTB problem for Wireless Networks.
Study on Assessment Method of Reliability of Spaceflight Electronic Device

A Bayesian reliability assessment method for spaceflight electronic device is put forward. The method combines the reliability information of the whole system and its subsystems.At first, the maximum entropy method is used to syncretize reliability information of subsystems;then the calculation formulas of moments of system reliability are deduced from reliability moments of subsystems and inheritance factor is determined and mixed Beta distribution is built;finally,the posterior distribution is used to assess system reliability.With the new method,the reliability of a spaceflight electronic device is evaluated to reach 0.9991 under the confidence level 0.70 with 240 whole system tests which is one-fifth of system tests needed by the classical method.It is feasible to use the new method to assess reliability of spaceflight electronic device.
Research on grey generating operation and application to synthetically earthquake prediction

In this paper,the application of fuzzy clustering analysis and grey system theory to the prediction of earthquakes is studied.And according to a new kind of grey generating,a new model for earthquake in the region of North China(30°~42° N,108°~125° E) has been built and the prediction is done.From the tested accuracy and the results calculated by the model,some indexes of the GM mode1,show that the GM model of grey system theory is reliable and accurate.
Outcomes evaluation of orthos for gamblers: impulsivity, attachment styles, alexithymia, and parental bonding

Pathological gambling (GAP) is considered a disorder in which the subject involved can not stop playing despite persistent and evident family, work and social problems. It is listed among the Impulse Control Disorders in the Diagnostic Manuals (DSM, ICD, PDM) because of the significant role that the impulsive trait has in the lives of the players’ personalities.Impulsivity is a multidimensional construct denoted by the tendency to act a behavior or to make a choice without reflective mediation. An immediate act in reaction to a physical or psychic stimulus. Numerous researches testify how impulsivity is the structuring characteristic of the conduct of the gamblers. Alexithymia, from the Greek a-lex-thymos, refers to the impossibility of recognizing and expressing one’s emotional states. Most often found in psychosomatic patients, the alexithymic construct also emphasizes imaginative poverty and the consequent concreteness of thought (operative thought) of subjects who are mainly directed towards the “material” aspects of their actions, having no reflexive space for the properly psychological aspects of their behavior. The aim of this study is to evaluate the outcomes of the Orthos program over a period of 24 months in reference to specific constructs of the GAP such as: the characteristics of the game, the impulsivity, alexithymia, the dimensions of the attachment styles and the quality of the cures offered by both parents during childhood in Pathological Gamblers.