Miracle-dz/UniFAR-FTUs huggingface dataset:
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Stock prices, in general, can be affected by world events such as wars, natural disasters, government policies, etc. However, the correlations between events and stock prices are often implicit and the influences of events on stock prices can be in indirect ways and act in chain reactions, which brings essential difficulties for precise market prediction. In this paper, we propose an attention-based event relevance model (ATT-ERNN) to explicitly model event relevance for predicting stock price movement. Specifically, in our model, we use long short-term memory neural network (LSTM) and convolution neural network (CNN) to encode event information and stock information to distributional representations. After that, we employ attention mechanism to find related events for each stock to do price movement prediction. Attention weights in our model have a quantitative interpretation as the relevance degree of events affecting the price of a specific stock. We have conduct extensive experiments on a manually collected real-world dataset. Experimental results show the superiority of our model over many baselines, which proves the effectiveness of our model in this prediction problem.
LIQUIDITY RISK IMPLICATIONS FOR MARKET RISK ASSESSMENT IN EMERGING MARKETS

Abstract Classical financial market theories built upon the assumption of a perfect market have been coping with frictions on both developed and emerging markets. There are numerous factors affecting the operation of financial markets and their participants’ behavior, but illiquidity is a continuous problem that has important consequences on the financial asset prices and the degree of competition between market participants. Moreover, investments that yield high profits are often the ones related to less liquid financial assets from emerging markets. Since investment decisions are based on risk preferences and investors are commonly risk averse, they tend to limit their risk exposure while defining their investment strategy. Various risk measures can be used to estimate the level of risk. Value at Risk (VaR) is a widely accepted summary measure of market risk that is also recommended by the financial industry regulatory authorities as a risk management tool. The usage of VaR models is rapidly expanding; thus, it is used by both financial and non-financial institutions in order to estimate exposure to financial risks, complement allocation of capital, set trading position limits and evaluate performance of trading strategies. However, the last global financial crisis that occurred in 2007-2008 highlighted some of the weaknesses of this measure as a measure of market risk. The lack of a liquidity parameter in methodologies used to compute VaR significantly decreased the effectiveness of this measure. Therefore, the objective of this research is to examine the implications of asset liquidity risk on market risk assessment, which is obtained by using VaR. The most frequently used technique for VaR estimation is the parametric (analytic) method, but the constant search for precise prediction models results in a large number of variations of basic parametric and non-parametric methods. Thus, in this research, the parametric VaR and volatility models are implemented on a sample representing the stock indices of the European emerging markets in the period from 2009 to 2017. The results of this study indicate that the application of a liquidity constraint in the VaR model provides more accurate assessment of potential loss, especially in emerging markets, and enables investors to detect the liquidity risk and its effect in comparison with a conventional VaR.
Analysis of competitiveness in Colombian family businesses

Building on the resource-based view and the configuration theory, the purpose of this study uses a systemic and multidimensional competitiveness index (CI) i.e. that incorporates system constraints among the 10 competitive pillars that form the index to assess the competitiveness level and the connection between competitiveness and economic performance [return on assets (ROA)] in family businesses (FBs). ,For the empirical application, the use a unique primary data set drawn from the global competitiveness project (www.gcp.org) that includes information for 77 Colombian FBs for 2017. Cluster analysis is used to evaluate the potential relationship between competitiveness, the configuration of competitive pillars and economic performance (ROA). ,The results for the CI show that the main competitive strengths of the analysed firms are related to the introduction of product innovations and networks (suppliers and customers), while the limited use of technologies in their operations and the low online presence are the main competitive weaknesses of these firms. Additionally, the findings of the cluster analysis reveal that different configurations of competitiveness pillars are associated with different performance levels. Therefore, the results contribute to identifying how specific strategies aimed at improving different resources or capabilities contribute to enhance business competitiveness, and ultimately, performance. ,By using an index number that takes into account the multiple interactions between resources and capabilities, the proposed analysis not only sheds light on the drivers of competitiveness i.e. resources and capabilities, and its connection to performance but also contributes to understanding the boundaries of the businesses’ competitiveness system, as well as the strategies that can potentially enhance competitiveness, and subsequently, business performance.
Secondary metabolites and Biological activities of Allium porrum L. attack Ehrlich ascites carcinoma in mice

The aim of the study is to investigate the phenolic compounds of methanol extract of Allium porrum L. Aerial parts (MEAP) and introducing the methanolic extract as a candidate for the treatment of cancer in vivo as well as exploring its anti-tumor mechanisms in attacking tumor cells at the molecular level. Isolation of phenolic and flavonoid compounds by column chromatography has been carried out, purified by sephadex LH-20 and their structures were established with the aid of spectroscopic metheods (UV, EI/MS, ESI/MS,1H-NMR and13C-NMR spectroscopy). Eleven phenolic and flavonoid compounds were isolated from the aerial parts of MEAP, and characterized as (quercetin-3-O-β-glucopyranoside-7-O-α-rhamnpyranoside, quercetin-3-O-α-rhamnopyranoside, quercetin-4’-O-β-glucopyranoside, kaempferol-3-O-β-glucopyranoside, kaempferol-7-O-β-glucopyranoside, quercetin, isorhamnetin, kaempferol, p-coumaric acid, ferulic acid and gallic acid. Forty five female Swiss albino mice were divided into five groups. One group represents the normal control. The four remaining groups were divided as follows: Two groups were injected with Ehrlich ascites carcinoma (EAC) cells intraperitonially the other two were injected intramuscularly (to form solid tumor) representing the positive non treated groups. One group from each model administrated orally the extract at a dose of 300mg/kg b. wt. three days weekly for twenty-one days after 24 hrs from the intraperitonial or intramuscular injection of EAC cells. The influence of the extract on the apoptotic proteins was tested in Ehrlich ascites carcinoma (EAC) cells and in solid tumor of the treated groups compared to the non-treated ones. The gene expression of caspase-3, Bax, Bcl-2 proteins and DNA fragmentation test were performed in the EAC cells. Hematological profile was conducted on mice's blood in addition to the immunohistochemical determination of P53 protein in solid tumors.
Antibiofilm and antimicrobial activities of papaya (Carica papaya L.) and stevia (Stevia rebaudiana Bertoni) leaf extracts against three biofilm-forming bacteria

Biofilm is a structural form of a microbial group that is protected by the Extracellular Polymeric Substance (EPS) matrix. The biofilm is considered as the main mediator of infection, and plays a major role in the occurrence of drug resistance. This study was aimed at determining the antimicrobial and antibiofilm activities of papaya (Carica papaya L.) and stevia (Stevia rebaudiana Bertoni) leaf extracts against three biofilm-forming bacteria. The antimicrobial assay showed that papaya leaf extract exhibits higher activity compared to stevia leaf extract in inhibiting the growth of the biofilm-forming bacteria. The optimum condition of papaya leaf extract to inhibit biofilm-forming bacterial growth occurred at 45% and 75% concentrations of the extract (pH 7). A 100% biofilm degradation by papaya leaf extract occurred at pH 6 and pH 9.
Evaluation of Flexibility Capacity in Pediatric Overweight

ABSTRACT: Childhood is a severe threat to human health. There is a suggested relationship between overweight and physical fitness. The aim of the present study is to determine the association between overweight and flexibility in children. The sample consisted of individuals aged 10 and 12 ages. The sample includes of 105 students residing in Izmir. Body mass index (BMI) was calculated by using weight in kg unit and height in meter unit. Data analyzed by SPSS 11.0 package programs. Correlation and crosstabs analyses were also used in the research. It was determined that there was no relationship between body mass index values and the left and right flexibility values of the subjects. While obesity is linked to physical fitness in accordance with several studies and tests, the present study and previous studies state that flexibility and obesity have no meaningful association. Even though overweight constitutes physical difficulties for children, it does not cause a significant problem in terms of physical flexibility. Keywords: Body Mass Index, flexibility, overweight
Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks

Capacity challenges are becoming more frequent phenomena in residential distribution networks with new forms of loads, distributed renewable energy resources (RES) and price-responsive applications. Different types of demand response programs have been introduced to tackle these challenges through iterative changes in price and/or contractual participations based on incentives. In this research, a dynamic network tariff-based demand response program is proposed to address congestion problems in low-voltage (LV) networks. The formulation takes advantage of the scalable architecture of the agent-based systems that allows local decision making with limited communication. Energy consumption schedules are developed on a day-ahead basis depending on the expected cost of overloading for a number of probable scenarios. The performance of the proposed approach has been tested through simulations in the unbalanced IEEE European LV test feeder. Simulation results reveal up to 82% reduction in congestion on a monthly basis, while maintaining the quality of supply in the network.
ONLINE STORE BRAND EXPERIENCE IMPACTING ON ONLINE BRAND TRUST AND ONLINE REPURCHASE INTENTION: THE MODERATING ROLE OF ONLINE BRAND ATTACHMENT

The scope of this research is to examine the impact of online store brand experience on online brand trust and online repurchase intention. Additionally, the study tests whether online brand attachment moderates these influences. Data was gathered in two cites in Pakistan and path relationships in the theoretical model were analysed using partial least squares structural equation modelling. The study results confirm that online brand attachment and online brand experience have a direct relationship with online brand trust and online repurchase intention. Conclusively, online brand attachment significantly moderates the two relationships between a) online brand experiences and online brand trust and b) online brand experiences and online repurchase intention. The study provides insights for online retail store managers to focus on improving the online experience for its customers in order to promote online brand trust and online repurchase intentions. JEL : C12; L81; M31 Article visualizations:
Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions

Abstract. Tropospheric ozone concentrations are sensitive to natural emissions of precursor compounds. In contrast to existing assumptions, recent evidence indicates that terrestrial vegetation emissions in the pre-industrial era were larger than in the present day. We use a chemical transport model and a radiative transfer model to show that revised inventories of pre-industrial fire and biogenic emissions lead to an increase in simulated pre-industrial ozone concentrations, decreasing the estimated pre-industrial to present-day tropospheric ozone radiative forcing by up to 34 % (0.38 to 0.25 W m−2). We find that this change is sensitive to employing biomass burning and biogenic emissions inventories based on matching vegetation patterns, as the co-location of emission sources enhances the effect on ozone formation. Our forcing estimates are at the lower end of existing uncertainty range estimates (0.2–0.6 W m−2), without accounting for other sources of uncertainty. Thus, future work should focus on reassessing the uncertainty range of tropospheric ozone radiative forcing.
Can Faith Move Mountains? How Implicit Theories about Willpower Moderate the Adverse Effect of Daily Emotional Dissonance at Work on Ego-Depletion

Recent findings have demonstrated that implicit theories about willpower (the 4 belief whether willpower relies on a limited vs. nonlimited resource) moderate 5 the ego-depletion-effect. This study examines this moderating mechanism in 6 occupational settings where employees increasingly face the unpleasant state of 7 emotional dissonance, which requires the exertion of volitional self-control. By 8 integrating findings on implicit theories about willpower, arguments brought up 9 by the strength model of self-control, and notions from the spillover literature, we 10 propose that believing in a nonlimited resource theory of willpower buffers the 11 effect of emotional dissonance on ego-depletion at work and diminishes the 12 spillover of ego-depletion from the workto the home-domain. In a diary study 13 covering ten working days (N=71), we examine a moderated mediation model in 14 which ego-depletion at work mediates the relation between emotional dissonance 15 and ego-depletion at home and analyse whether implicit theories about willpower 16 moderate both paths (a and b) of the proposed mediation model. Our results 17 provide support for the mediation hypothesis and show that endorsing a 18 nonlimited resource theory buffers the effect of emotional dissonance on ego19 depletion at work, thereby disrupting the indirect effect of emotional dissonance 20 on ego-depletion at home. Subsequently, we discuss implications of holding a 21 nonlimited resource theory. 22
Goodbye Smokers' Corner: Health Effects of School Smoking Bans

ABSTRACT:We study the impact of school smoking bans on individual health behavior in Germany. Using a multiple difference-in-differences approach in combination with randomization inference, we find that for individuals affected by a smoking ban during their school time, the propensity toward smoking declines by 14–22 percent, while the number of smoked cigarettes per day decreases by 19–25 percent. After elaborating on treatment effect heterogeneity and intensity, we evaluate spillovers to smoking behavior of nontreated individuals living in the same household.
FOUR-QUADRANT SPEED ESTIMATION BASED ON MODEL REFERENCE ADAPTIVE SYSTEM

Speed estimation methods for sensorless induction motor drives can be divided into two types. The first is based on acquiring data about fundamental components of stator currents and voltages. The second is based on the injection of high-frequency signals carried on stator voltages or currents.The latter type allows stable operation around zero frequency,and low speeds, However, besides its complexity, it increases the losses and torque ripple. The former type is difficult to operate at low speeds. In this paper, a modified speed estimation method of the first type is proposed to improve the performance of a sensorless vector controller. The proposed method is based on model reference adaptive control (MRAC) that uses the stator current and rotor flux as state variables for estimating the speed. In this method, the stator current error is represented as a function of first degree of the estimated speed error. Therefore, the proposed method beside offering a four quadrant operation, produces fast speed estimation and is robust to parameter variations. The superiority of the proposed method is verified by simulation. J3 LWl all1 & A+ J j Y l ' & + 3! +&I LjLS&l& &\ ky J& +i JM & qk dJJ$ a\j A! JGk &a\ && & 4 &u\ L\ c L ? + ~ \ 4 1 a! & d JYJ . I . ak91, MI JJ$ t. ~& I J~,m 3 9 1 $1 +UI +$I +, . ijlbkll & &I J&, + + d9% GJUI Ljj? 1 4 4 (I-PUII ? $Ig @&I &a %> L& ;& hj$ GbY4 kjyJ J$l ,++I &! &+I J ~ ' Y +& +I I& &, ~~l b k d l h &dl &L JL? j +.+ '@I &$I & s J I +Wl& +>I 014 &x, "&+I +.ill $ & A l l & L A &dl 'p L u l $ +I ,+ +*I 2, 'LJ-I l>Lz.J ~~l Ll* Jl,Jl 4 1 &, +MI +I ijL.~)r4 L. ~l%&l 9, ~J-L-II &eyrll$ J9vl bJdl &a 4116 +MI p t l l J& J&I ' & U I 4 ? j x& 31 &J is+ ,+>I lJ&l && &\ h J L l $ &3ll (j_h; hjs ' . yyLJ & SKU1 &A 3 +&I A &LA\ CJ+5) S3
Four Stage Pipelined 16 bit RISC on Xilinx Spartan 3AN FPGA

This paper describes the design and implementation of a 16 bit 4 stage pipelined Reduced Instruction Set Computer (RISC) processor on a Xilinx Spartan 3AN Field programmable gate array (FPGA). The processor implements the Harvard memory architecture, so the instruction and data memory spaces are both physically and logically separate. The RISC processor architecture presented in this paper is designed by six units, they are instruction cache, instruction unit, decode unit, execute unit, data cache unit and register file unit. The processor has been described using Verilog HDL, simulated using ModelSim 6.5-SE simulator and synthesized using Xilinx ISE 11.1i. The proposed processor has been implemented and physically tested Xilinx FPGA Spartan 3AN development board, It uses ChipScope Pro 9.2i embedded logic analyzer to monitor any or all of the signals in the design.
Fabrication of SiNWs/PEDOT:PSS Heterojunction Solar Cells

Silicon nanowires (SiNWs) are synthesized through a metal-assisted chemical etching (MACE) method using Si(100) substrates and silver (Ag) as a catalyst. Scanning electron microscope (SEM) images confirmed that length of prepared SiNWs was increased when etching time increased. The prepared SiNWs demonstrated considerably low light reflectance at a wavelength range of 200–1100 nm. The photoluminescence (PL) spectra of the grown SiNWs showed a broad emission band peaked at a wavelength of about 750 nm. A solar cell and photodetector based on heterojunction SiNWs/PEDOT:PSS were fabricated using SiNWs that prepared with different etching time and its J–V, sensitivity, and time response were investigated. The conversion efficiency of fabricated solar cell was increased from 0.39% to 0.68% when wire length decreased from 24 µm to 21 µm, respectively. However, the sensitivity of the heterojunction SiNWs/PEDOT:PSS photodetector was decreased from 53774% to 36826% when wire length decreased from 24 µm to 21 µm, respectively.
Sparse Adaptive Filtering and Applications

Doctor of Philosophy in Electrical and Electronic Engineering. Thesis (Ph.D.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Electrical and Electronic Engineering, 2017. Co-Supervisor: Assist. Prof. Dr. M.Shukri Salman, Supervisor: Prof. Dr. Aykut Hocanin
Formulation and Evaluation of Cefixime Nanosuspension for the Enhancement of Oral Bioavailability by Solvent-Antisolvent Method and its Suitable Method Development

Aim: The objective of the present study was to develop and evaluate cefixime nanosuspension to enhance its oral bioavailability. Materials and Methods: The method used was solvent/ antisolvent method in which methanol and Millipore water was used as solvent and antisolvent respectively. The surfactants used for the preparation were PVP K30 and HPMC K100 which was found to be compatible in the formulation. Compatibility of the drug and drug with its excipients was found out by FTIR studies. Characterization of the optimized Cefixime Nanosuspension was carried out by particle size analysis, Differential Scanning Calorimetry, Zeta Potential, Drug content, in-vitro drug release studies, Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy(TEM). The antimicrobial activity of cefixime nanosuspension was done by Disk diffusion method against E. coli performed in nutrient agar with different concentrations of the formulation. The Minimum Inhibitory Concentration (MIC) was determined by calculating Zone of inhibition. A method was developed forcefixime nanosuspension and validated by High Performance Thin Layer Chromatography (HPTLC). Results: The optimizedcefixime nanosuspension was validated for Identification, Linearity, Specificity, Precision and Recovery. The Recovery of cefixime nanosuspension was found to be 95.57%.
The Bird and The Fish: Motion Field-Based Frame Interpolation in the Context of a Story

The Bird and The Fish: Motion Field-Based Frame Interpolation in the Context of a Story Thomas Sterling Ellsworth Department of Computer Science, BYU Master of Science Animating by hand can be a long and challenging process in part because of the necessity of drawing every frame by hand. 3D animation media minimize this problem with the use of automatically interpolated frames, but despite significant research no universally acceptable techniques have been demonstrated for 2 dimensional interpolation. In this paper we explore computer-assisted optimizations to the animation pipeline. Specifically, we utilize 3D motion fields to create more realistic in-between frames for sets of 2D “key frames. ” We demonstrate our method by using it to create 2D special effects for a 30-second clip of an animated short film.
Mechanical Performance of Bio Particulated Natural Green Husk Coir Fiber-Vinyl Ester Composites

The tensile, flexural and impact properties of various bio particles impregnated natural green husk coir fiber reinforced vinyl ester composites were compared in order to introduce a new platform for the development of bio particulated natural fiber-polymer composites. The thermal conductivity of bio-particulated coir-vinyl ester composites were measured using Lee’s disc method. The problem of matrix cracking for the quick failure of natural fiber reinforced polymer composites was solved using matrix strengthening by bio particulate inclusion and the inter laminar bond between constituents of composites were studied using SEM images in this investigation.
University of Southern Denmark Multidisciplinary Management of Mastocytosis

Broesby-Olsen, Sigurd; Dybedal, Ingunn; Gülen, Theo; Kielsgaard Kristensen, Thomas; Boe Møller, Michael; Ackermann, Leena; Sääf, Maria; Karlsson, Maria A; Agertoft, Lone; Brixen, Kim; Hermann, Pernille; Stylianou, Eva; Mortz, Charlotte G; Torfing, Trine; Havelund, Troels; Sander, Birgitta; Bergström, Anna; Bendix, Marie; Garvey, Lene H; Weis Bjerrum, Ole; Valent, Peter; Bindslev-Jensen, Carsten; Nilsson, Gunnar; Vestergaard, Hanne; Hägglund, Hans Published in: Acta Dermato-Venereologica