Miracle-dz/UniFAR-FTUs huggingface dataset:
Market Efficiency of Indian Stock Market : A Study of Budget Announcement in Bombay Stock Exchange

Market where all pertinent information is available to all participants at the same time, and where prices respond immediately to available information. In other words the current market price should reflect all publically available information. Under such conditions the current market price in any financial market could be the best unbiased estimate of the value of the investment. The present try to test the informational efficiency of the Indian Stock Market in the semi-strong form of efficient market hypothesis with respect to the information content of the event budget announcement for BSE 30 in the year 2016. The AARs, CAARs and t test were analysed to ascertain whether an opportunity was available to make above abnormal returns during the price adjustment period. AARs after the announcement day (except +3 day) are statistically not significant. The study reveals that the investors have not been able to earn abnormal returns in the study companies.
The Effect of Probiotic on IgA Level in Mice Model of Sepsis

Probiotic is useful as immunomodulator and imunonutrition in patients with critical illness such as sepsis, but the mechanism is not entirely clear. This study was aimed to evaluate the effect of probiotic on serum IgA level in mice model of sepsis in dr. Moewardi Hospital/Faculty of Medicine, Universitas Sebelas Maret Surakarta period July 2009â€“2010. Eighteen males Balb/C mice were used and divided into three groups. Group I without treatment (negative control), group II which was mice model of sepsis inoculated with lipopolysaccharide (LPS)-E.coli (0.4 mg/mouse/ip), and group III was mice model of sepsis inoculated with E. coli LPS-and given probiotic. Serum IgA level was examined by ELISA. Data were analyzed statistically with one-way ANOVA. Serum IgA levels in normal mice group was 35. 82Â±4.55 ng/mL. Exposing LPS-E. coli reduced the levels of serum IgA to 6.20Â±5.80 ng/mL. Administration of probiotics increased the serum IgA level to 65.07Â±34.97 ng/mL in mouse models of sepsis. Probiotics significantly increased serum IgA levels compared to mice model of sepsis group (65.07 Â± 34.97 ng/mL vs. 6.20 Â± 5.80 ng / mL, p = 0.000). In conclusion, administration of probiotics can increase the levels of serum IgA in mice model of sepsis. [>strong>MKB. 2010;42(4):175â€“80]. Key words: IgA , probiotic, sepsis
SUSTAINED EFFECTIVENESS OF ACTOR-AGENT TEAMS : EXPLORATIONS & DEMARCATIONS

The research reported herein from the SEAT project is part of the cluster Collaborative Decision Making (CDM) of the Interactive Collaborative Information Systems (ICIS) research programme (http://www.icis.decis.nl/), supported by the Dutch Ministry of Economic Affairs, grant nr: BSIK03024. The ICIS project is hosted by the D-CIS Lab (http://www.decis.nl/), the open research partnership of Thales Nederland, the Delft University of Technology, the University of Amsterdam and the Netherlands Organization for Applied Scientific Research TNO.
A Content Level based Deduplication on Streaming Data using Poisson Process Filter Technique (PPFT)

This paper proposed on Poisson process-based algorithm is to carry out content-level deduplication for the streaming data. Since Poisson processes are meant to do the counting of different events happening over a period of time and space, it becomes appropriate to use it for identifying duplications of data as it gets streamed based on time and space, which can allow the deduplication process to be carried out in tandem. Some of the research on deduplication has been focusing on File-level and Block-level deduplication while the focus can be brought to content-level, as data get streamed lively and becomes more dynamic. With this approach, the content-level deduplication will allow the data to be scanned intelligently and at the same time, it can save the deduplication operation time. Also, streaming data has its randomness which is innately there and by having Poisson process based deduplication it will address the random behaviour of the data transfer and can work efficiently in the dynamically connected environment. The proposed method identifies the unique data to store in the Database. Based on the experimental result, the Poisson Processbased algorithm produce 0.912 Area Under Curve (AUC) accuracy on real-world streaming data, which means that if AUC is greater than 0.8 then the performance of algorithm is pretty good. So, the machine intelligence-based deduplication model produced reliable and robust deduplication on streaming data compared to existing approaches
Machine Learning Theory Nearest Neighbors

In this lecture we will introduce and analyze another basic learning algorithm, namely prediction based on Nearest Neighbors. It is one of the earliest learning methods developed and studied [1]. A 1-Nearest Neighbor predictor returns, for a point x, the label of the sample point in S nearest to x. This simple paradigm is employable as soon as the domain space X is equipped with some metric, that is, as soon as we have a notion of distance in the domain space. In this lecture however, we will assume that the domain is Euclidean, and, in particular, we assume X = [0, 1] is a d-dimension unit cube. Then, formally, given a sample S = ((x1, y1), . , (xm, ym)), the output of 1-Nearest Neighbor learning is the predictor:
DETERMINATION OF SOIL ERODIBILITY INDICES FOR SELECTED SOILS IN SOUTHERN GUINEA SAVANNA ECOLOGICAL ZONE OF NIGERIA UNDER RAINFED AGRICULTURAL PRACTICE

A field experiment was conducted to determine erodibility index of selected soils in Southern Guinea Savanna Ecological zone of Nigeria. In each area, samples were taken from various depths of 0 – 10 cm, 10 – 20 cm and 20 – 30 cm, respectively for analysis in order to determine their physical properties. Textural triangle was used to carry out textural classification to determine the percentage dominance of the various textural classes of soil present in the selected areas. The Bougocous hydrometer method was used to determine the particle size distribution for the samples collected at various depths. The soil moisture content for plot A ranged between 9.04 to 9.14% while that of plot B ranged between 8.21 to 8.70%, plot C ranged between 7.83 to 8.51%, plot D ranged between 7.67 to 8.73% and plot E ranged from 8.73 to 9.05%. The permeability rate became stable for plot A at 45 min while at plot B, C, D and E was at 33, 45 min and 48 minutes, respectively. The particle size analysis indicated that the soil type in plot A is mainly sandy loam. It is concluded that the study area is less vulnerable to erosion as only fine soil particles are washed off as a result of the effect of surface runoff which is indicated by the negative erodibility indices obtained for the study area.
An examination of management control systems in not-for-profit research institutions : A literature review on current situation and future directions

This study is motivated by the increasing importance of management activities in not-forprofit organizations because of macro factors, such as government resource cuts. In addition, many authors have been argued that it is more difficult to manage professionals (e.g., doctors, lawyers, and accountants) than non-professionals because the former have professionalism, which is likely to conflict with organizational norms. The purpose of this study is to critically investigate existing frameworks and empirical findings of management control, to identify their issues of dispute, and to consider future research directions in notfor-profit research institutions, especially in terms of the motivation and performance management systems. This study applies a literature review, and specifically selects various canonical journals in the fields of management accounting and psychology. The study mainly focuses on European countries because of their advanced management practices in public and not-for-profit organizations. As a result, it raises the following point: although it has been agreed that output-based control systems cause conflict with professionals and/or notfor-profit organizations, the organizations might use any type of control system if there are ways to mitigate negative effects of such systems. Furthermore, to clarify detailed factors and contexts that affect the relationship between management control systems and individual/organizational outcomes (e.g., managers’ experiences and eagerness, organizational size, and organizational structure), this study encourages more case and field studies. The findings of this study could contribute to the development of performance management practices in not-for-profit and/or professional organizations and to the advancement of academic research on those organizations’ management.
Supplemental Materials for “ Accepters , fence sitters , or rejecters : Moral profiles of vaccination attitudes ” By Rossen et al . ( 2018 )

Rossen, Hurlstone, Dunlop and Lawrence (2018) administered a novel inventory designed to measure confidence in childhood vaccination to a self-selected online sample of parents in conjunction with an established measure of moral preferences. Using Latent Profile Analysis—a statistical technique used to identify profiles within a population—they showed that parents could be classified into three different profiles—defined as “vaccine accepters”, “fence sitters”, and “vaccine rejecters”— based on their responses to the vaccine confidence measure. Furthermore, each group of parents was found to be associated with a unique moral profile that may help to understand the psychological roots of their vaccination attitudes. This document reports supplementary literature, methodological details, and statistical analyses to accompany the main paper. It is not meant as a stand-alone paper—please refer to Rossen et al. (2018) for further explanation.
Anechoic audio and 3D-video content database of small ensemble performances for virtual concerts

This paper presents the details related to the creation of a public database of anechoic audio and 3D-video recordings of several small music ensemble performances. Musical extracts range from baroque to jazz music. This work aims at extending the already available public databases of anechoic stimuli, providing the community with flexible audiovisual content for virtual acoustic simulations. For each piece of music, musicians were first close-mic recorded together to provide an audio performance reference. This recording was followed by individual instrument retake recordings, while listening to the reference recording, to achieve the best audio separation between instruments. In parallel, 3D-video content was recorded for each musician, employing a multiple Kinect 2 RGB-Depth sensors system, allowing for the generation and easy manipulation of 3D point-clouds. Details of the choice of musical pieces, recording procedure, and technical details on the system architecture including post-processing treatments to render the stimuli in immersive audiovisual environments are provided.
Current Trends in Forest Ecological Applications of Three-Dimensional Remote Sensing: Transition from Experimental to Operational Solutions?

The alarming increase in the magnitude and spatiotemporal patterns of changes in composition, structure and function of forest ecosystems during recent years calls for enhanced cross-border mitigation and adaption measures, which strongly entail intensified research to understand the underlying processes in the ecosystems as well as their dynamics. Remote sensing data and methods are nowadays the main complementary sources of synoptic, up-to-date and objective information to support field observations in forest ecology. In particular, analysis of three-dimensional (3D) remote sensing data is regarded as an appropriate complement, since they are hypothesized to resemble the 3D character of most forest attributes. Following their use in various small-scale forest structural analyses over the past two decades, these sources of data are now on their way to be integrated in novel applications in fields like citizen science, environmental impact assessment, forest fire analysis, and biodiversity assessment in remote areas. These and a number of other novel applications provide valuable material for the Forests special issue “3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function”, which shows the promising future of these technologies and improves our understanding of the potentials and challenges of 3D remote sensing in practical forest ecology worldwide.
A Conceptual Vision Toward the Management of Machine Learning Models

To turn big data into actionable knowledge, the adoption of machine learning (ML) methods has proven to be one of the de facto approaches. When elaborating an appropriate ML model for a given task, one typically builds many models and generates several data artifacts. Given the amount of information associated with the developed models performance, their appropriate selection is often difficult. Therefore, appropriately comparing a set of competitive ML models and choosing one according to an arbitrary set of user metrics require systematic solutions. In particular, ML model management is a promising research direction for a more systematic and comprehensive approach for machine learning model selection. Therefore, in this paper, we introduce a conceptual model for ML development. Based on this conceptualization, we introduce our vision toward a knowledge-based model management system oriented to model selection.
Utilizing Artificial Neural Network Model to Predict Bank Stock Returns

The objective of this paper is to propose a non-lin ear mathematical model, represented by an artificial neural network, to analyze the dynamics of stock prices of banks. The research is based on the idea that, about the shareholders’ value added in banking, the comparison of linear methods of analysis and non-linear ones is able to discover as pect of the phenomenon otherwise invisible. Through the empirical application of the artificial neural network developed and through the comparison with the linear correlation analysis, it is expected to obtain some indications about the phenomena and variables that can influence banks’ s tock returns, particularly on their quantitative or qualitative nature and on their level of disclos ure. The research also aims to provide empirical results about the use of non-linear methods of anal ysis for the study of the dynamics of banks’ stock prices, enriching the prospects for research in ter ms of methodological tools. This paper intends to contribute to the literature on the methodological tools used for the analysis o f the efficiency of capital markets in the field of f recasting and interpreting the dynamics of stock prices of listed companies, with a specific focus o n banking. JEL Classification: C3, C32, C45, C5, C63, G12, G14 , G15, G21.
OF NORTH AMERICA Sleep and Sleep Disorders in Children and Adolescents

P ediatric sleep disorders are common, affecting approximately 25% to 40% of children and adolescents [1]. Although there are several different types of sleep disorders that affect youth, each disorder can have a significant impact on daytime functioning and development, including learning, growth, behavior, and emotion regulation [2]. Although the relationship between sleep and psychiatric disorders has been established in adults, researchers are only beginning to uncover the interaction between sleep and psychiatric disorders in children and adolescents, including depression, attention-deficit/hyperactivity disorder (ADHD), and autism. The purpose of this article is to review normal sleep and sleep disorders in children and adolescents, the assessment of sleep in pediatric populations, common pediatric sleep disorders, and sleep in children who have common psychiatric disorders.
A Cross-lingual Analysis on Culinary Perceptions to Understand the Cross-cultural Difference

Native cuisines are usually acquired tastes for local people but often appear to be unpalatable choices for foreign travelers. This is attributable not only to taste preferences, but also to the different dish perceptions between cultures. Understanding culinary cultures is of great interest these days, with many studies investigating the ingredient uses and tastes among dishes, while little is known about the subjective per- ceptions people have toward them. In this paper, we introduce a new dimension to the understanding of culinary cul- tures. We speciﬁcally assess ‘cross-cultural perceptions of food’, and develop a model to compare culinary perceptions between cultures, especially different linguistic areas, using descriptions acquired from social media. To evaluate the va- lidity of the proposed model, we conducted a series of experimental assessments using beverages as targets. We analyzed the perceptual differences between drinks in Japanese culture and US culture. Results revealed social trends of culinary cultures. For instance, the results show US residents’ preferences for colorful foods, Japanese people’s general recogni- tion of ‘bitter’ for coffee, US residents’ frequent mention of smoothie thickness, and the unique latte art culture in Japan. Such perceptual differences are expected to be useful for strategies of localization, and for recipe recommendation.
Clustering Ideological Terms in Historical Newspaper Data with Diachronic Word Embeddings

During the course of the nineteenth century, ideological language mostly expressed through isms such as liberalism, socialism or conservatism, entered the lexicon in most European languages. Previous research has based on reading key texts claimed that the suﬃx ism was introduced to new linguistic domains during the period up to WWI, many of which do not relate to ideology. This paper uses a data-driven way to study the emergence of isms in nineteenth-century Finnish newspapers and uses word embeddings to cluster them and to trace their thematic expansion in the period. As such, the study provides a quantitatively sound way of tracking how isms relate to ideological language and more generally contributes to the understanding of the development of political language in Finland.
Web Semantic , linked data and broadcasting — more in common than you ’ d think !

In 2001, Tim Berners-Lee et al. introduced their vision of the Semantic Web, as an extension of the current Web in which information has “well-defined meaning, hence better enabling computers and people to work in cooperation” [1]. The most essential part of this next-generation Web is content that is formally described via ontologies, metadata conforming to these ontologies, logic, and agents [2]. Many definitions of the term ontology exist. The most popular is by Gruber who defines an ontology as “an explicit specification of a conceptualization” [3]. This definition is further extended by Studer et al. to “Ontologies are a formal, explicit specification of a shared conceptualization” [4].
CO 2 Permeation Behavior through Carbon Membranes : A Short Review of the Progress during the Last Decade

Although carbon dioxide is not classified as a toxic or harmful gas the necessity for its capture is enforced not only by scientists but also by governments worldwide. In this attempt the technologies which are proposed to attend this role are various. Contrary to the traditional thermal methods (distillation, adsorption, cryogenic), which require high energy sources, the membrane technology seems to be the prevalent solution mainly thanks to its low operation cost. To this aim, both polymeric and inorganic membranes are reported as good candidates for CO2 separation–capture. The main advantages of the inorganic membranes, in terms of the polymeric, are their higher selectivity factors and the better stability at both high temperatures and chemical environments. The preparation of the carbon membranes takes place mainly by the controlled pyrolysis of different thermosetting polymeric materials and the final configuration can be divided into the following configurations: i) flat sheet membranes, ii) supported on tube membranes, iii) capillary membranes and iv) hollow fiber membranes. During the last fifty years, more attention has been devoted, not only for the simultaneous increase of both permeability and selectivity factors but also for the large–scale production of crack free carbon membranes. The reproductivity is also one critical point which has to be achieved if we really aim for the industrial application of the carbon gas selective membranes. Therefore, carbon membranes have the potential to be the materials of the future for many gas separation processes including the one of carbon dioxide separation–capture. This paper is reviewing the development and the achievements of the carbon membranes in the direction of the CO2 separation giving emphasis on the last 10 years.
M ar 2 01 4 A TRIANGULAR GAP OF SIZE TWO IN A SEA OF DIMERS IN A 90 ◦ ANGLE WITH MIXED BOUNDARY CONDITIONS , AND A HEAT FLOW CONJECTURE FOR THE GENERAL CASE

Abstract. We consider a triangular gap of side two in a 90◦ angle on the triangular lattice with mixed boundary conditions: a constrained, zig-zag boundary along one side, and a free lattice line boundary along the other. We study the interaction of the gap with the corner as the rest of the angle is completely filled with lozenges. We show that the resulting correlation is governed by the product of the distances between the gap and its three images in the sides of the angle. The image in the side with constrained boundary has the same orientation as the original gap, while the image in the side with free boundary has the opposite orientation. This, together with the parallel between the correlation of gaps in dimer packings and electrostatics we developed in previous work, provides evidence for a unified way of understanding the interaction of gaps with the bounary under mixed boundary conditions, which we phrase as a conjecture. While the electrostatic interpretation is equivalent to a steady state heat flow interpretation in the bulk, it turns out that the latter view is more natural in the context of the interaction of the gaps with the boundary. The starting point for our analysis is an exact formula we prove for the number of lozenge tilings of certain trapezoidal regions with mixed boundary conditions, which is equivalent to a new, multi-parameter generalization of a classical plane partition enumeration problem (that of enumerating symmetric, self-complementary plane partitions).