Miracle-dz/UniFAR-FTUs huggingface dataset:
What Will it Do for My EPS? An Unflattering But Powerful Motive for Mergers

There is widespread evidence that bidders are more highly valued than their targets, and that both parties tend to be in temporarily high-valued industries. We find that valuation differences are also uniquely important for predicting who will be acquired and when. A firm is more likely to be a target when others in the industry could acquire them in a stock-swap merger that appears accretive to the buyer even after paying a substantial premium. The resulting measure is related to the dispersion of valuation multiples within an industry, but is grounded in a specific model of managerial behavior and is empirically much stronger than dispersion. Indeed, it is a stronger target predictor than any measure in the existing literature, including recent industry-level merger activity. Our results for bidders are less impressive. We find that a firm is more likely to be a bidder when it has more accretive targets, but unlike target prediction our effects are subsumed by existing size and valuation measures in the literature.
Vehicle Recognition Based on Local Feature

This paper introduced a vehicle recognition system based on Speed-up Robust Feature (SURF) and bag-of-features (BOF). In the system, we extract SURF features of vehicle images, and use k-means algorithm to analyze the features, clustering center of the features, so we can get some “visual words”. Then we describe all images use those “words”, and generate histogram to quantize the features. In this paper, term frequency- inverse document frequency (tf-idf) is used to weight the features to weaken the influence of useless features. We have 22 different type and brand of vehicle, including sedan, SUV, bus and so on. The experiment shows that this way can make the recognition accuracy over 90%.
RANSOMWARE IN INDUSTRIAL CONTROL SYSTEMS. WHAT COMES AFTER WANNACRY AND PETYA GLOBAL ATTACKS

The cyber security of critical global infrastructures was tested last May 12 nd with the global attack via Wannacry, a technically simple Ransomware that used an old Windows operating system vulnerability to propagate. Although it was an important attack and with serious consequences, it was an attack that could be restrained with the use of basic countermeasures like the simple update of the Windows operating system. This paper aims to detail the serious consequences of a Ransomware infection in critical infrastructure Industrial Control Systems networks. The work was developed based on the good practices of ANSI / ISA-99 (current IEC 62443) and aims to raise the awareness of global companies regarding the immediate need for investments in cyber security in industrial networks. To illustrate the consequences of a Ransomware attack on industrial control systems, case studies of two attacks on Brazilian industrial control systems were listed. The first attack occurred in a furniture factory and the second in a control center of a major power utility. In both cases this study detailed the type of Malware used, the consequences of the attack, financial losses and countermeasures made to return to operation. The conclusion of the work sparks reflection on what is to come after the Wannacry and Petya global attacks, mentioning the new ones that are being developed at this time, and what impact should be expected if these new attacks hit critical infrastructure networks with low level of cyber security implemented.
Characterization of Doubled Haploid Derived from Anther Culture for New Type Upland Rice

Anther culture is one of tissue culture methods which can be applied to plant breeding programs in order to accelerate the process of obtaining pure lines. The successful development of rice varieties is highly dependent on genetic diversity and desirable traits. To obtain the genetic variability of doubled haploid lines through anther culture techniques, anther F1 or F2 were used as explants sources. The objectives of the study were to select and characterize doubled haploid lines of upland rice having the characters of new plant type, and to study the genetic variability and agronomic characters of tested doubled haploid lines. A total of 58 doubled haploid lines, and four parental lines i.e. Fatmawati, SGJT-28, SGJT-36, and Way Rarem were used in this study. The experiment used completely randomized design with three replications. Results showed that the characters of the doubled haploid lines vary considerably. Selection of the character i.e. number of productive tillers, number of fid grain per panicle, and percentage of empty grain was more effective to be selected because they were well correlated to weight of grain per hill, possessed high heritability values, and have wide genetic variability. Based on productive tillers number, number of fid grains per panicle, fertility, weight of 1,000 grains, and weight of grains per hill, the lines of P3-26, P3-27, P3-28, P4-45, P5-50, P6-103, P6-105, P3-120, P3-134, P3-135, P3-150, P3-158, P3-248, P3-249, P6-271, P6-272, P6-274, P6-276, and P6-295 were potential for further selection for new type of upland rice.
Automated Blasts Segmentation Techniques Based on Clustering Algorithm for Acute Leukemia Blood Samples

Image segmentation is an important process for most medical image analysis tasks. One of the familiar segmentation technique is using clustering algorithm. At present, clustering algorithm has been used in many fields including machine learning, data mining, pattern recognition, image processing, and bioinformatics. These methods partition or group the objects based on similarities and differences. This study aims to assist hematologist or technologist by automating the visual assessment to identify blasts in acute leukemia blood samples. In this study, an automated image segmentation technique using a combination between saturation component based on HSI color space and clustering algorithm which are Moving k-Means and Fuzzy c-means are proposed. Then, 7x7 pixels median filter and region growing algorithms was applied to remove the unwanted noises. The comparison performance of the proposed technique was investigated. The experimental results yield a promising result for the combination between saturation component with Moving k-means clustering algorithm, 7x7 pixels median filter and region growing algorithms.
Antimicrobial Ionic Liquids

First described almost a century ago (Walden, 1914), ionic liquids are a novel class of low temperature (typically <100°C) molten salts, comprised of discrete anions and cations (Seddon, 1997; Scammells et al., 2005; Stark & Seddon, 2007;). Many are liquid at room temperature. The majority of room temperature molten ionic liquids are salts with large nitrogen or phosphorous-bearing cations with alkyl chain substituents and anions such as halides, fluorophosphates, fluoroborates and so on. Over one million simple ionic liquids are theoretically possible, with mixtures of two or more ionic liquids making the possibilities for new reaction media almost limitless. Ionic liquids research has experienced a massive upsurge of interest in the past decade, primarily driven by their application in ‘Green’ chemistry, for example, as replacements for conventional organic solvents and volatile organic compounds (VOCs) in the chemical industry. Furthermore, ionic liquids have been utilized in multitude of diverse applications from synthetic chemistry (separation/extraction/catalysis) to novel biological applications. The most commonly used and extensively described cations and anions employed in ionic liquids are detailed in Figure 1 (adapted from Seddon et al, 2000). The ability to ‘tune’ the physical, chemical and biological property sets of ionic liquids, by independent modification of the properties of the constituent anions and cations, has been the major driving force behind the huge interest in this rapidly expanding field of chemistry. ‘Tuneability’ of ionic liquids introduces an unparalleled flexibility in the design of reagents for a particular functional niche, these ‘designer solvents’ (Earle et al., 2006) are capable of providing a range of new reaction media potentially having greater diversity of character and application than that of the traditional solvents they are designed to replace (Scammells et al., 2005; Earle et al., 2006; Stark & Seddon, 2007). A summary of the physicochemical properties of common ionic liquids is given in Table 1. Whilst the majority of industry in this field has, to date, been directed towards ‘green’ applications, biological issues such as stability, biodegradability, recyclability and toxicity (Scammells et al., 2005) have received relatively little attention. However, these issues have attracted increased scrutiny recently, and the biological properties of ionic liquids, which in themselves are ‘tuneable’ have become one of the most debated topics in the ionic liquids arena. Ionic liquids generally have properties such as near-zero vapour pressure (Earle et al., 2006) and thermal stability (Kosmulski et al., 2004). However, by altering the cation and anion, ionic liquids can be specifically created for a purpose or to possess particular properties suited to a given functional niche, and can therefore be described as tunable or designer
Supplementing Ron Weber s view on a theory building

The information systems science needs its own theories. To this end, the method to develop a new theory which Ron Weber, Editor-in-Chief of MIS Quarterly, recently presented is very welcome. The method with the four steps is not, however, universal, i.e. it cannot be applied to every case. We shall show three different exceptions. First, based on the analysis of the lawful states of the novel system we shall demonstrate that the innovative system building task must be excluded from the application domain of that method. Secondly, by using different categories of dynamic systems we show that the method can be applied to the nilpotent systems with the rest point, but the method cannot be applied to the self-steering systems. The latter is pity, because the self-steering system is the most natural model of the total intellectual process of human being, i.e. the consciously controlled human tasks cannot be theorized by using the method presented by Ron Weber. Thirdly, because of social construction of reality and the fact that constructs are grounded in common understanding rather than physical reality so the possibilities for differing interpretations are great. Further, they may become out dated as common understanding can change.
Seismological in situ estimation of density jumps across the transition zone discontinuities beneath Japan

We investigate the magnitude of shear‐wave velocity and density jumps across the 410‐km and 660‐km discontinuities in the Earth's mantle. We estimate SS reflection and PS conversion coefficients from ScS reverberations and receiver‐side P‐S converted phases, respectively, using broadband seismograms recorded at stations in western Japan. Fractional changes of model parameters that satisfy our observations in the northwest Pacific are (ΔVs, Δρ)=(8.5%, 5.4%) for the 660‐km discontinuity, and (4.9%, 1.9%) for the 410‐km discontinuity.
The linkages between household consumption and household debt composition in Malaysia

This study intends to examine the relationship between household consumption and household debt composition in Malaysia. Specifically, this study employs the Toda-Yamamoto non-causality test since it is sui table for variables with different levels of integration. Results obtained in this study suggest that the direction of causality runs from consumption to debt. Moreover, the result of the cointegration test also supports that long run relationship exists between the two variables. It also supports the Life Cycle Model, which predicts that a household has been borrowing in order to finance their consumption and expenses. Therefore, this result indirectly suggests that the household has been depending on debt to finance their consumption and thus any negative shocks that occur in the economy can causes serious consequences on the economic performance of the country. Hence, any attempts by policymakers to control the mounting debt level should be focusing on restricting the supply of loans.
Effect of Tai Chi on Cardiac Autonomic Function and Salivary Cortisol Level in Healthy Adults

Introduction: An estimated 8.2 million American adults (1 in 3) have 1 or more types of cardiovascular disease. Heart rate variability (HRV) analysis is considered a non-invasive procedure for analyzing cardiovascular autonomic influence. Depressed HRV has been linked to stress and abnormal cardiovascular autonomic modulation. Purpose: This study evaluated the acute effects of tai chi on cardiac autonomic function and cortisol level in healthy adults. Design: 10 healthy adults, 7 females and 3 males, with an average age of 54 ± 2.04 were included in this study. They were asked not to consume any alcoholic or caffeinated beverages at least 24 hours before the study. Each subject practiced tai chi for 1 hour. HRV measurements were obtained at supine rest using Nexus biofeedback device before and after 10 min, 20 min and 30 min post tai chi exercise. Saliva samples were collected before tai chi and after 45 min post tai chi practice. Results: The cardiac autonomic function was assessed using frequency domain HRV analyses. Repeated measures ANOVA revealed that there is significant difference in means of HR, SDNN, nLF and nHF between the pre tai chi and post tai chi groups. Using student’s T-test, we found that the nHF increased significantly from 42.79 ± 4.12 to 52.82 ± 4.39 after 30 min post tai chi exercise (p<0.05). In contrast, nLF decreased significantly from 57.21 ± 4.12 to 52.82 ± 4.39 after 30 min post tai chi exercise (p<0.05). HR significantly decreased from 73 ± 2 to 67.79 ± 2.94 after 30 min post tai chi exercise. Also, SDNN increased significantly from 34 ± 5.26 to
X-ray properties of radio-selected star forming galaxies in the Chandra-COSMOS survey

X-ray surveys contain sizable numbers of star forming galaxies, beyond the AGN which usually make the majority of detections. Many methods to separate the two populations are used in the literature, based on X-ray and multiwavelength properties. We aim at a detailed test of the classification schemes and to study the X-ray properties of the resulting samples. We build on a sample of galaxies selected at 1.4 GHz in the VLA-COSMOS survey, classified by Smolcic et al. (2008) according to their optical colours and observed with Chandra. A similarly selected control sample of AGN is also used for comparison. We review some X-ray based classification criteria and check how they affect the sample composition. The efficiency of the classification scheme devised by Smolcic et al. (2008) is such that ~30% of composite/misclassified objects are expected because of the higher X-ray brightness of AGN with respect to galaxies. The latter fraction is actually 50% in the X-ray detected sources, while it is expected to be much lower among X-ray undetected sources. Indeed, the analysis of the stacked spectrum of undetected sources shows, consistently, strongly different properties between the AGN and galaxy samples. X-ray based selection criteria are then used to refine both samples. The radio/X-ray luminosity correlation for star forming galaxies is found to hold with the same X-ray/radio ratio valid for nearby galaxies. Some evolution of the ratio may be possible for sources at high redshift or high luminosity, tough it is likely explained by a bias arising from the radio selection. Finally, we discuss the X-ray number counts of star forming galaxies from the VLA- and C-COSMOS surveys according to different selection criteria, and compare them to the similar determination from the Chandra Deep Fields. The classification scheme proposed here may find application in future works and surveys.
Effect of mild vacuum packaging on cut Matthiola incana L. flowers vase life.

Mild vacuum (MV) packaging was compared with conventional cold wet storage on cut stock (Matthiola incana L.). The cut stock flowers were selected and cut to 50 cm and stored in water (wet storage) or placed in plastic bags under MV at 4 degreesC for six days. The effect of storage was compared with non-stored cut flowers. The postharvest quality of cut flowers was evaluated by monitoring vase life, water uptake, alcohol dehydrogenase activity (ADH), ethylene production, total chlorophyll and SPAD measurements. The MV packaging allowed storing the stock flowers for three days, without any visible injury and with a vase life of about 7 - 8 days. MV storage caused an accumulation of ethylene and CO2 in bags, 919.9 pl ml-1 and 21382 mul l-1, respectively. Only flowers stored for 6 days in mild vacuum showed quality reduction. The leaves appeared dehydrated; with local transparencies of cuticles and a green-gray colour. The ADH was higher in open flowers (2.9 nmol mg-1 protein min-1) compared with other organs in MV storage method, and the highest concentration was recorded after 6 days storage. At the end of vase life stock flowers wet stored showed a greater production of ethylene (0.75 nl h-1 g-1 FW) then MV (0.3 nl h-1 g-1 FW). The MV system can be used in M. incana if storage or transportation is limited to three days.
Assessment of Functionality of Health Extension Workers and Its Determinantsin East Gojam, Northwest Ethiopia: A Comparative Cross-Sectional Study

Introduction: Programs promoting primary healthcare using Health Extension Workers are crucial to improve cost-effectiveness of healthcare, reaching large numbers of underserved people with expansion of high-impact basic healthcare services at grass-root levels in developing countries. Hence, this study attempted to assess Health Extension Workers functionality and its determinants of Health Extension Workers in Ethiopia. Methods: A facility-based comparative cross-sectional study was conducted in eight randomly selected districts of east Gojam zone, Northwest Ethiopia in 2012. The study was cross-checked by facility observation using checklists. A total of 375 Health Extension Workers were included in the study. The questionnaire was designed using the job description of Health Extension Workers; the level of functionality was measured by using functionality score scaling technique and scores were given ranging from 0-2 in multi-interval scale with a minimum of zero if an activity had not been performed at all times and maximum of two if the activity was performed regularly. The average score of one for an item was taken if the activity was performed occasionally and those scored below the mean were considered non-functional and otherwise functional. Univariate, chi-square test and multivariate analyses were done. Ethical clearance was obtained from Research and Ethical Committee of Debremarkos University. Results and discussion: The majority of Health Extension Workers (86.3%, n= 297) were functional. The overall non-functional rate was 13.7% (n=47). Health institutions support, regular drug supply, selection pattern and future job aspiration were found to be the determinants of functionality using logistic regression. Conclusion: The functionality of Health Extension Workers was encouraging. Family health, personal hygiene and environmental sanitation, health education and promotion services were well being done by Health Extension Workers. Stakeholders must deploy qualified health personnel for training, supervision and support, and promote development of career structure in line with Health Extension Workers’ future job aspiration.
MODELLING OF SEAWATER POLLUTED BY LIGHT AND HEAVY CRUDE OIL DROPLETS

Significant amounts of crude oil transported from offshore fields to the refineries using tankers or pipelines, demand increased control of seawater pollution. Tanker accidents resulting in oil spills drive much attention, as they influence local marine life and coastal industry. However, the most significant annual amount of crude oil enters the sea in the form of oilin-water emulsion as a result of standard tanker operations, offshore oil extraction and daily work of refineries. Many branches of science are challenged to provide new methods for oil detection, less expensive, more sensitive and more accurate. Remote satellite or airborne detection of large oil spills is possible using joint techniques as microwave radars, ultraviolet laser fluorosensors and infrared radars. Some methods are capable to deal with oil streaks detection and estimation of oil thickness. Although there is currently, no method to detect small concentration of oil droplets dispersed in seawater. Oil droplets become additional absorbents and attenuators in water body. They significantly change seawater inherent optical properties, which imply the change of apparent optical properties, detectable using remote sensing techniques. To enable remote optical detection of oil-in-water emulsion, a study of optical properties of two types of crude oil was conducted. Radiative transfer theory was applied to quantify the contribution of oil emulsion to remote sensing reflectance (R rs ). Spectra of R rs from in situ measurements in Baltic Sea were compared to R rs spectra of seawater polluted by 1 ppm of crude oil emulsion, collected using radiative transfer simulation. The light crude oil caused a 9-10% increase of Rrs while the heavy one reduced R rs up to 30% (model accuracy stayed within 5% for considered spectral range). Results are discussed concerning their application to shipboard and offshore oil content detection.
Proposed Approach for Key Generation Based on Elliptic Curve (EC) Algebra and Metaheuristic Algorithms

The key management is an important area of research in internet applications, because protecting secret messages during transmission becomes an essential issue for the Internet. Elliptic Curve Cryptography (ECC) has attracted the attention of researchers and product developers due to its robust mathematical structure and highest security compared to other existing algorithms. This paper produces a new cryptographic key generation approach that investigate from metaheuristic algorithms (Greedy Randomized Adaptive Search Procedure (GRASP) and Variable Neighborhood Search(VNS)) in order generate symmetric mask key that consist of more the one EC points with minimum correlation among points. The proposed approach aims to combine between the features of elliptic curve arithmetic, Discrete Logarithm and metaheuristic algorithms (GRASP and VNS) to produce robust symmetric cryptography key (mask key). The proposed approach tested and gives efficient results when compared with other previous approach in term of secrecy and privacy .
Does ownership matter for service delivery value? an examination of citizens’ service satisfaction

ABSTRACT Governments across the world outsource service delivery to external agents, but does ownership matter for service delivery value? Though theory points to clear ownership differences on effectiveness, there remains limited empirical evidence of the impact of ownership on citizens’ satisfaction. Focusing on local authorities in England, we draw on secondary data (2007 and 2009) to examine if ownership type matters. The findings indicate that ownership – public, non-profit, private – confers no direct benefits for citizens’ satisfaction suggesting that the outsourcing decision should not rely on unfounded assumptions about performance differentials between ownership types. The implications for public management are explored.
Design of Square Microstrip Antenna Using T-Shaped Notch in the Ground Plane for Ultra Wideband Applications

This paper presents the design of an ultra wideband microstrip patch antenna for (UWB) communications. In this structure there is a square patch consists of a partial ground plane and fed by a 50 ? microstrip line. The proposed antenna can achieves a wide bandwidth from 1.52 GHz to 11.19 GHz with VSWR<2 with stable and bi-directional radiation pattern. The simulation of this antenna has been performed by using Ansoft High Frequency Structure Simulator (HFSS) and Computer Simulation Technology-Microwave Studio (CST).