Miracle-dz/UniFAR-FTUs huggingface dataset:
PREDICTING THE NIGERIAN STOCK MARKET USING ARTIFICIAL NEURAL NETWORK

: Forecasting a financial time series, such as stock market trends, would be a very important step when developing investment portfolios. This step is very challenging due to complexity and presence of a multitude of factors that may affect the value of certain securities. In this research paper, we have proved by contradiction that the Nigerian stock market is not efficient but chaotic. Two years representative stock prices of some banks stocks were analyzed using a feed forward neural network with back-propagation in Matlab 7.0. The simulation results and price forecasts show that it is possible to consistently earn good returns on investment on the Nigerian stock market using private information from an artificial neural network indicator.
International Journal of Instruction

Using the Biggs’ 3P learning model and correlational design, this study explores the relationship between students’ individual characteristics and course perceptions, approach to study, and academic outcomes, which account for the differences in academic achievement and student delay. 612 Italian students of a master’s degree in psychology participated by completing a questionnaire with measures of Presage (prior school background, motivation, self-efficacy, course perceptions), Process (approach to study, class attendance and autonomy in learning) and Product of learning (achievement, delay, satisfaction). Regression analysis and Structural Equation Modelling showed that prior school background directly predicts achievement and delay, while motivation, self-efficacy, teaching and workload perceptions, jointly predict achievement through approach to study. The results underlined differences between on time and delayer students that should be given due consideration by academic institutions in order to develop correct processes and practices that support students on their academic path.
CCIDE_A_212886 243..249

Department of Orthodontics, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia Background: The hormone estrogen can prevent osteoclast differentiation and suppress osteoclastic activity, which can prevent tooth relapse movement. Wheat seeds are a natural material containing phytoestrogens with similar characteristics to estrogen. Objective: This study intends to determine the influence of wheat seeds in reducing osteoclastogenesis following orthodontic tooth movement (OTM). Materials and methods: Forty male Sprague Dawley rats were used in this experimental study. The rats were divided into control and treatment groups (n=20). In both groups, the rat maxillary incisors were moved distally using a 0.012 U stainless steel orthodontic appliance with a 2 mm diameter coil and 5 mm wire length. The treatment group received wheat seeds at a dose of 0.6 gram/day. The animals were sacrificed at days 0, 1, 7, and 14 after using the orthodontic appliance (4 subgroups according to observations of days; n=5). RANKL and OPG expressions were determined from the gingival crevicular fluid (GCF) samples using ELISA analysis. Statistical analysis of the data collected was calculated with the independent sample t-test (P<0.05). Results: All the experimental procedures were well-tolerated and did not change the animals’ weight. On days 7 and 14, the OTM rate of the treatment group was significantly lower than the control group (P<0.05). ELISA test results showed that the OPG level was significantly higher on days 1, 7, and 14, while the RANKL level was considerably lower on day 14 in the wheat seeds group compared with the control group (P<0.05). Conclusion: Wheat seeds can promote osteoclastogenesis inhibition and delay OTM.
ON CONDITIONAL VOLATILITY MODEL COMPARISON

Volatility can be defined and measured as a risk of financial instrument over a specified time period. In this paper, we deal with volatility model selection and comparison in a specific framework. In particular, univariate volatility models like traditional ARCH model and its extensions will be object of our interest. Selection of the best suitable model may be usually based on in-sample or out-of-sample criteria. In empirical studies, we usually favour model that can capture real features of the data analysed and, in addition, can provide the most accurate out-of-sample forecast quality. In this paper, we focus just on out-of-sample comparison of linear and nonlinear ARCH family models which may follow two different approaches. In first approach, alternative models are contrasted by different loss functions based directly on variance forecast and Diebold-Mariano type tests. The second approach includes indirect evaluation methods which consider using of alternative variance forecasts. In our study, we deal with the evaluation of alternative ARCH family models within a VaR framework. Empirical comparison of the methods discussed above will be demonstrated on illustrative example using sample data from U.S. stock market. We consider daily data of S&P500 index in the period of 2007 2012 years which includes the stage of recent global financial crisis of 2008-2009 years.
PII: S0898-1221(98)00146-1

Keywords---Nonlinear programming, Hybrid genetic algorithm, Weighted gradient direction, Feasible degree, Semifeasible direction. 1. I N T R O D U C T I O N No~linear Programming (NLP) is an important branch of Operations Research and has wide applications in the areas of military, economics, engineering optlm! ~tion, and science management. There are several types of traditional methods for nonlinear programming [1], however, since there are many local optimizations for NLP, most of the solution methods may solve it only on an approximate basis. Recently, based on strict optimization theory and algorithm, many researchers have proposed some new stochastic optimization methods, such as the genetic algorithm [2-4], simulated annealing [5], Tabu search [6], and various hybrid methods [5,6]. The authors are greatly indebted to the referees for their suggestions and comments on the revision of the paper. This paper is supported by the National Natural Science Foundation NNSF (Project No. 69684005) of the P.R. of China.
Postcoloniality in Action: RAND during the Vietnam War

Between 1964 and 1968, RAND (an abbreviation for Research and Development), conducted some 2400 interviews in Vietnam with Vietnamese political prisoners (Davison, 1970). The interviews developed by RAND provide researchers with the opportunity to investigate how discursive ideologies are produced and what their impact is on the actors involved. In particular, the interviews reveal a rare glimpse of the interactions between the colonial powers (U.S.) and colonial people (Vietnamese population). By conducting our research in accordance with the hermeneutic circle, our research has shown that the various theories, theoretical frameworks, and methodological designs developed by the RAND Corporation were concerned with objectivity, validity and reliability (Davison, 1970; Elliott, 2010). Yet they failed to fully recognize the socio-political nature of their own assumptions that informed their research. Furthermore, although RAND employees regarded themselves as researchers and academic scholars wanting to consider the Vietnamese interviewees as participants in the RAND projects (Elliott, 2010), their predisposed opinions about the Cold War conflict prevented them from viewing the Vietnamese “interviewees” as anything else that the “other”. Analysis of the RAND interviews indicates a sense of strong resistance from the Vietnamese; a sense of resistance that is not normally found in analysis of texts written by those from the perspective of the colonizer. Choosing not to answer the interview questions serves as a form of resilience and resistance as the only powerful tool the prisoners have to resist. From the interviews analyzed we further see that the Vietnamese did not consider the Americans as rescuers but rather understood them as a destructive force in Vietnam. BACKGROUND Since the 1950s, the RAND Corporation, described as a U.S. non-for-profit think-tank, has played an important role both in the development of organizational research methods and in U.S. military operations including the Vietnam War (Abella, 2008). As we shall contend below, both are linked.
BIODEGRADATION OF TRIHALOMETHANES AND OTHER HALOGENATED ALIPHATIC COMPOUNDS

vi JUSTIFICATION . 1 METHODS . 2 . RESULTS AND SIGNIFICANCE 4 . Biological Dechlorination of Chloroform to Dichlorornethane 4 . Dichloromethane Degradation. Correlation of Gene Probe and Activity Assays 8 Design and Function of a Two-stage Anaerobic Bioreactor to Degrade Chloroform . 12 Dehalogenation of ChlorofIuorocarbons (CFCs) by Aquifer Bacteria . 14 . Thermodynamic Parameters Used to Predict Dehalogenation 17 PRINCIPAL FINDINGS. CONCLUSIONS AND RECOMMENDATIONS . 18 SUMMARY . 20 . REFERENCES 21 LIST OF FIGURES AND TABLES . Figure 1 . Reductive Dechlorination of Chloroform 5 Figure 2 . Chloroform Dechlorination and Methanogenesis . 6 . Figure 3 . Dechlorination and Methanogenesis Inhibition by BES 7 . Figure 4 . Reversal of BES Inhibition by Coenzyme M 7 . Figure 5 . Dichloromethane Degradation by Hyphumicrobium and Wastewater Microbes 9 . Figure 6 . Hyphumicrobium and Wastewater Microbe DNA Hybridization Patterns 11 . Figure 7 . Two-stage Anaerobic Bioreactor Performance in Degrading Chloroform 13 . Figure 8 . CFC Biodegradation Associated With Cellular Fraction 15 . Figure 9 . CFC Degradation as Affected by CFC-11 Concentration 16 . Table 1 . Biological Dechlorination as Affected by Reaction Reduction Potential 18 . Table 2 . Summary of Biological Dehalogenation Reactions 20
A graph-based algorithm for interpersonal ties clustering in signed
networks

Social ties are formed as a result of interactions and individual preferences of the people in a social network. There are two opposite types which are interpreted as friendship vs. enmity or trust vs. distrust between people. The aforementioned social network structure can be represented by a signed graph, where people are the graph’s vertices and their interactions are graph’s edges. The edges can be positive and negative signs. To determine trustworthiness, this paper considers the problem of a signed graph partitioning with minimizing the sum of the negative edge's weight and balanced size of its clusters. An efficient algorithm to solve such a problem is proposed. The experimental results show that the proposed algorithm outperforms in terms of the execution times and the accuracy within the given bounds.
PARTS OF AN OBJECT IN AN MAGE FOR COMPUTER VISION APPLICATIONS

A method is provided for localizing parts of an object in an image by training local detectors using labeled image exem plars with fiducial points corresponding to parts within the image. Each local detector generates a detector score corre sponding to the likelihood that a desired part is located at a given location within the image exemplar. A non-parametric global model of the locations of the fiducial points is gener ated for each of at least a portion of the image exemplars. An input image is analyzed using the trained local detectors, and a Bayesian objective function is derived for the input image from the non-parametric model and detector scores. The Bayesian objective function is optimized using a consensus of global models, and an output is generated with locations of the fiducial points labeled within the object in the image.
Polycystic ovary syndrome associated with increased adiposity interferes with serum levels of TNF-alpha and IL-6 differently from leptin and adiponectin

ABSTRACT Objective The aim of this study was to investigate polycystic ovary syndrome (PCOS) and to explore the relationship between body fat percentage and metabolic markers. Subjects and methods Sedentary women were assigned to PCOS (N = 60) and CONTROL (N = 60) groups. Each group was subdivided into three subgroups according to body fat percentage (22-27%, 27-32% and 32-37%). The protocol consisted of assessments of glucose, insulin, androgens, follicle stimulating hormone (FSH), luteinizing hormone (LH), 17-hydroxyprogesterone (17-OHP), leptin, adiponectin, tumor necrosis factor (TNF-α) and interleukin-6 (IL-6). Results The PCOS subgroups showed higher concentrations of androgens, LH and 17-OHP. Leptin showed direct relationship with increased body fat percentage, whereas adiponectin showed the inverse effect. However, both were unaffected by PCOS. TNF-α and IL-6 were higher in PCOS women and showed a direct relationship with increased body fat percentage. Glucose showed direct relationship with body fat percentage, whereas insulin presented higher values in PCOS women and direct relationship with increased body fat percentage. Conclusions Our findings indicate that PCOS and body fat percentage directly influence concentrations of insulin, TNF-α and IL-6, whereas leptin and adiponectin are influenced only by the increase in body fat percentage in these women. Arch Endocrinol Metab. 2020;64(1):4-10
Using Texting to Help Families Build Their Children’s Vocabulary at Home

Texting is emerging as a promising tool for facilitating children’s learning at home. For example, families can sign up for programs such as Ready4K that send texts to help children meet key developmental milestones (York, Loeb, & Doss, 2018). Yet, less focus has been placed on the potential benefits of texting to bridge the home–classroom gap specifically by supporting communication between teachers and families to assist with students’ learning. In the first years of schooling, texting might be a particularly important tool in the effort to help students build vocabulary, or learn the meaning of words, because vocabulary is very important for later success in reading and beyond but is very challenging to teach in school alone. In this article, we lay out the evidence showing how texting can support family engagement and students’ learning, focusing specifically on how texting might support vocabulary development. First, we review why vocabulary development is so critical and how children learn words. We next share evidence about opportunities that students have at home and school to learn new words, especially when they are growing up in communities in poverty. Thereafter, we explain what research says texting-based approaches can do to support students’ learning and family–school engagement, broadly speaking. Fourth, we describe an example of an effective texting project, Text to Talk, in which teachers text families the vocabulary words their children are learning in the classroom so they can reinforce these words at home. Finally, we offer helpful hints to teachers about how texting can be used in their early-grade classrooms to build a variety of skills among students, including vocabulary, highlighting how texting is different from other forms of family–teacher communication already employed by classroom teachers. Why Vocabulary Development Is Important for Young Children Over the past 30 years, considerable research has examined the important role that vocabulary development plays in young children’s literacy development (Fernald, Marchman, & Weisleder, 2013; Morgan, Farkas, Hillemeier, Hammer, & Maczuga, 2015; Suggate, Schaughency, McAnally, & Reese, 2018). Learning to read involves many complex processes, including developing vocabulary, phonemic awareness, fluency, and comprehension skills. Vocabulary plays an important role in that children who have well-developed language and vocabulary skills draw on fewer cognitive resources to understand the meaning of a word as they encounter it on the written page. Children with larger vocabularies are more likely, when recognizing or sounding out a new word, to know the meaning of that particular word, making comprehension more efficient. Relatedly, research has shown that, even after children have largely mastered decoding, those with limited vocabularies often continue to encounter difficulties with reading comprehension because of a lack of knowledge of word meanings and the structure of language (Dickinson & Porche, 2011; Ouellette, 2006). FEATURE ARTICLE
Survival and Risk of Leukemic transformation in Essential Thrombocythemia Are Significantly Influenced by Accurate Morphologic Diagnosis: An International Study on 1,104 Patients

Abstract 457 Introduction- The 2008 World Health Organization (WHO) diagnostic criteria for myeloproliferative neoplasms (MPN) underscore the role of bone marrow (BM) morphology in distinguishing essential thrombocythemia (ET) from early, and at times prefibrotic, primary myelofibrosis (PMF) that clinically presents like ET. The value of such a distinction in predicting clinical outcome has been questioned by some investigators. Study Design- Clinician scientists and hematopathologists from seven international centers of excellence for ET convened to design a clinicopathologic database of patients locally diagnosed and treated as ET. Study eligibility criteria included availability of treatment-naive BM specimens obtained within one year of diagnosis. All bone marrows subsequently underwent a central blinded re-review by the author of the pertinent WHO chapter (JT) who applied strict WHO guidelines to identify cases of early PMF that were spuriously diagnosed as ET. Results- Revision of the BM biopsies according to the WHO morphological criteria confirmed ET in 891 patients (81%). Diagnosis was revised to early, prefibrotic PMF in 180 patients (16%). The remaining 33 (3%) BM specimens were qualitatively inadequate for accurate classification or represented unclassified cases. i) At presentation, early PMF, as opposed to true ET, was characterized by higher leukocyte (p ii) Median follow-up was 6.2 years for ET and 7.0 years for early PMF. During this period, the rates of arterial (1.2-1.4% patients/year) and venous (0.6 patients/year) thrombotic complications were similar in the two groups. However, patients with early PMF, as compared to those with ET, were more likely to develop overt myelofibrosis (1% vs. 0.5% patients/year; RR=2.0, p=0.04) or acute leukemia (0.6% vs. 0.1% patients/year; RR=5.2, p=0.001). Cumulative leukemic transformation rate at 10 and 15 years was 0.7% and 2.1% in true ET versus 5.8% and 11.7% in PMF Similarly, survival was significantly worse in patients with early PMF (mortality rate: 2.7% vs. 1.3% patients/year; RR=2.1, p=0.002). The 10 and 15-years overall survival rates were: 89% and 80% in true ET versus 76% and 59% in PMF. On multivariable analysis, other risk factors for poor survival were age > 60 years (HR=6.3, p 11×109/L (HR=2.13, p Conclusions- The current study validates the clinical relevance of strict adherence to WHO criteria in the diagnosis of ET and provides seminal information on the survival and risk of leukemic transformation in strictly WHO-defined ET, which appears to be substantially better than previously assumed. Disclosures: No relevant conflicts of interest to declare.
Multimodal Pain Management in the Perioperative Setting

In the context of the current U.S. opioid crisis, there is renewed interest and heightened relevance in the practice of multimodal analgesia for postoperative surgical patients. The goal of this review article is to present an accounting of the available opioid and non-opioid pharmacologic agents, regional analgesia techniques, and complementary modalities that may be considered for optimal pain relief in the perioperative setting. In adhering to the practice of multimodal pain therapy, clinicians improve the quality of pain control and reduce reliance on opioid use. There is strong evidence to support the benefits of multimodal analgesia.
The Development of Wine tourism in Lesser-known Wine Regions: The Case of Jurra

Purpose The aim of this study is a preliminary examination of the provision of wine tourism in a relatively unknown wine region, with a view to examining its potential both as an economic driver within the region and in relationship to the reputation of the wines produced in the region. Design/methodology/approach The research considered the Jura region of France, examining the experience of visitors in the region (expert and non-expert) in a mystery shopping context. The research thus begins be examining consumer perspectives of the attractions of the region. At a theoretical level the findings were considered within the context of the winescape and of cultural systems. Findings The emerging themes were classified into three content areas – rural atmosphere, hospitality, and distinctive wine style. Each theme was considered to be assets of the region; however, there were also a series of weaknesses which limited the effectiveness of wine
THE GLOBALISATION EFFECTS ON THE TRADE FLOWS: CZECH EXPERIENCE

The Czech Republic is a small open economy, which is vitally dependent on its export performance. In the period after EU accession the intensity of international cooperation grew rapidly in all the Central European countries, which is mostly the result of the huge FDI inflow at the beginning of the decade. In this context one significant problem for the Czech Republic and some other countries of the region appeared: the valuation of the trade flows based on the cross-border measuring overestimates the country’s trade balance in comparison with its value added created. This is the case of trade declared by non-resident units, which is more and more common within the European Union. This phenomenon is even enhanced by the strategic geographical location of the Czech Republic, which is important factor why a lot of this “quasi-transit” trade is being operated. The overvaluation of the trade balance is divided into exports (which are over-valuated) and imports (which are under-valuated). It is concentrated in several commodity groups, among them especially computers and electric equipment are significant. The revision of the foreign trade data, which aim is to follow more consistently the ownership approach, significantly changed the picture of the Czech economy, specifically the role of external demand to the economic growth.
The time-course of moral perception: An ERP investigation of the moral pop-out effect

The time-course of moral perception: An ERP investigation of the moral pop-out effect Ana Gantman1, Sayeed Devraj-Kizuk2, Peter Mende-Siedlecki3, Jay J. Van Bavel4, Kyle E. Mathewson2,5 1Department of Psychology, Brooklyn College (CUNY) 2Neuroscience and Mental Health Institute, University of Alberta 3 Department of Psychological and Brain Sciences, University of Delaware 4Department of Psychology, New York University 5Department of Psychology, University of Alberta