Miracle-dz/UniFAR-FTUs huggingface dataset:
Big Data Mining and Business Intelligence Trends

The conventional databases are not capable of coping with the high capacity data due to different forms of these data’s and fast production speed. In this context, The Big Data structure comes into the scene. The Big Data has been stated as the gold of our age by many authorities. Today, large sizes of data can be analyzed and this led to changes in the lives of people, companies, states, and researchers. The companies develop effective and efficient solutions by analyzing large size of data through big data solutions for their strategic decisions, operational processes, campaign management and marketing techniques. In this research, the introduction has been made to the Big Data architecture, along with daily increasing data mining techniques and methods which will be a solution for accumulating data and current advancements in big data solutions have been addressed. In addition, some well-known companies’ tendency to implement business intelligence systems have been examined. The effects of potential threads which are the results of the big data in the business world are analyzed and a couple of suggestions for the future have been presented.
Reducing Energy Consumption in Smart System through Mobilouds Framework

Mobile cloud computing (MCC) it’s related energy implication are seen everywhere in large Offloading computationally raised endeavor’s to the cloud datacentres being the basic thought driving MCC (Mobile Cloud Computing), a vast segment of the mobile terminal assets partaking in the MCC (mobile Cloud Computing) aggregate execution are wasted as they remain sit out of gear till the mobile terminals get response from the datacentres. This is an additional wastage of assets near to the cloud assets are starting at now being tended to as colossal vitality customers. Despite the fact that the assets consumed of the site without moving mobile resources are unimportant in contrast with the cloud partner, such utilizations impact sly affects the mobile devices bringing about superfluous battery channels. Mobilouds which consolidate a multi-level processing architecture with various phases of process cluster limits and a product application to supervise vitality utilization. Mobilouds framework energizes the mobile device co-operation in the MCC (Mobile Cloud Computing) synchronized effort execution, there by lessens the weight of idle mobile resource and uses such idle resource in the actual job execution.
A Single Malaria Merozoite Serine Protease Mediates Shedding of Multiple Surface Proteins by Juxtamembrane Cleavage*

Erythrocyte invasion by the malaria merozoite is accompanied by the regulated discharge of apically located secretory organelles called micronemes. Plasmodium falciparum apical membrane antigen-1 (PfAMA-1), which plays an indispensable role in invasion, translocates from micronemes onto the parasite surface and is proteolytically shed in a soluble form during invasion. We have previously proposed, on the basis of incomplete mass spectrometric mapping data, that PfAMA-1 shedding results from cleavage at two alternative positions. We now show conclusively that the PfAMA-1 ectodomain is shed from the merozoite solely as a result of cleavage at a single site, just 29 residues away from the predicted transmembrane-spanning sequence. Remarkably, this cleavage is mediated by the same membrane-bound parasite serine protease as that responsible for shedding of the merozoite surface protein-1 (MSP-1) complex, an abundant, glycosylphosphatidylinositol-anchored multiprotein complex. Processing of MSP-1 is essential for invasion. Our results indicate the presence on the merozoite surface of a multifunctional serine sheddase with a broad substrate specificity. We further demonstrate that translocation and shedding of PfAMA-1 is an actin-independent process.
Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction

In this paper, a novel evolutionary paradigm combining Genetic Network Programming (GNP) and Estimation of Distribution Algorithms (EDAs) is proposed and used to find important association rules in time-related applications, especially in traffic prediction. GNP is one of the evolutionary optimization algorithms, which uses directed-graph structures. EDAs is a novel algorithm, where the new population of individuals is produced from a probabilistic distribution estimated from the selected individuals from the previous generation. This model replaces random crossover and mutation to generate offspring. Instead of generating the candidate association rules using conventional GNP, the proposed method can obtain a large number of important association rules more effectively. The purpose of this paper is to compare the proposed method with conventional GNP in traffic prediction systems in terms of the number of rules obtained.
Mga 2 p Processing by Hypoxia and Unsaturated Fatty Acids in Saccharomyces cerevisiae : Impact on LORE-Dependent Gene Expression

In Saccharomyces cerevisiae, OLE1 encodes a 9 fatty acid desaturase, an enzyme that plays a critical role in maintaining the correct ratio of saturated to monounsaturated fatty acids in the cell membrane. Previous studies have demonstrated that (i) OLE1 expression is repressed by unsaturated fatty acids (UFAs) and induced by low oxygen tension, (ii) a component of this regulation is mediated through the same low oxygen response element (LORE) in the OLE1 promoter, and (iii) Mga2p is involved in LORE-dependent hypoxic induction of OLE1. We now report that LORE-CYC1 basal promoter-lacZ fusion reporter assays demonstrate that UFAs repress the reporter expression under hypoxic conditions in a dose-dependent manner via LORE. Electrophoretic mobility shift assays show that UFAs repress the hypoxia-induced complex formation with LORE. Studies with a construct encoding a truncated form of Mga2p support the hypothesis that both hypoxia and UFA signals affect the processing of Mga2p and the UFA repression of OLE1 hypoxic induction is mediated through Mga2p. Data from Western blot assays provide evidence that under normoxic conditions, Mga2p processing produces approximately equimolar levels of the membrane-bound and processed forms and is unaffected by UFAs. Hypoxic induction of OLE1, however, is associated with increased processing of the protein, resulting in an approximately fivefold increase in the soluble active form that is counteracted by exposure of the cells to unsaturated fatty acids. Data from this study suggest that the Mga2p-LORE interaction plays an important role in OLE1 expression under both normoxic and hypoxic conditions.
Market Orientation and Customer Point of View - In The Case Of Azerbaijan

Purpose: The research aimed to investigate how consumers percept marketing activities of firms in Azerbaijan, within the framework of market orientation phenomenon described by Narver and Slater. Methodology: 333 questionnaires were gained through convenience sample. Data was analyzed with SPSS 24. Confirmatory factor analysis was first done and then regression analysis. Findings: According to the results of research, items relate to MKTOR assembled into two factors: customer orientation and competitor orientation. Only customer orientation have significant positive effect on customer satisfaction and customer trust. Originality: The study is important because it is carried out in Azerbaijan, a country which is new in market economy. Although marketing concept is not new phenomenon for western country, for Azerbaijan it is new, as country lived in planned economy till 1991. The results of the research are thought to be beneficial to both the theorists and the practitioners.
The impact of cluster characteristics on HiveQL query optimization

Huge amount of data is stored by different kinds of applications for further analysis. Relational databases were used for decades as data storages, but in some cases they are not suitable for Big Data processing. To solve the problem, non-relational databases were developed. As a help for transferring data from relational databases to non-relational databases, adequate tools were developed. In this paper, a tool named Sqoop is presented. The issue of query optimization should be addressed by all applications that deal with large amounts of data, regardless of their field of application and scope. The impact of cluster characteristics on HiveQL query optimization is analyzed in this paper.
Analysis of School Effects in Japan Using a Multilevel Model:: Can Effective Schools Overcome Social Disadvantages?

This paper explores school effects in Japan, using a Multilevel Model Analysis. “School Effects” consider how schools can affect childrenʼs learning outputs. This is one of the important subjects in the sociology of education. Since the Coleman Reports of the 1960s, there has been much research investigating school effects all over the world. This is termed “School Effectiveness Research” (SER). Recently, SER researchers are planning comparative studies within countries, and this research has considerable attraction. Unfortunately, very few researchers in Japan knew about SER until 2000. Pioneers in SER in Japan are Nabeshima and Shimizu. They investigated school effects using the concept of “Effective Schools” conceived by Edmonds, one of the most famous early SER researchers. Japanese SER researchers argue that “Effective Schools” are characterized by “teacher cooperation,” “leadership,” and “good classroom climates. ” Finally, they conclude, “If all schools had these characteristics, social disadvantage would be less than at present. ” However, the concept of “Effective Schools” in Japan is problematic, and thus we need to reanalyze carefully the conclusions of pioneer SER research in Japan. In this paper, I firstly point out the lack of the concept of “Effective Schools” and propose a Multilevel Model Analysis (Hierarchical Linear Modeling) to analyze school effects. Secondly, I investigate school effects in Japan using the Multilevel Model Analysis, and analyze academic achievement tests at 5th grade conducted in Z City in the district of Kansai. The sample size is 3,366 children from 43 schools and explanatory variables are achievement score at 4th grade, childrenʼs gender, and childrenʼs cultural social class.
Semi-Automatic Ontology Development: Processes and Resources

The exploitation of theoretical results in knowledge representation, language standardization by W3C and data publication initiatives such as Linked Open Data have given a level of concreteness to the field of ontology research. In light of these recent outcomes, ontology development has also found its way to the forefront, benefiting from years of R&D on development tools. Semi-Automatic Ontology Development: Processes and Resources includes state-of-the-art research results aimed at the automation of ontology development processes and the reuse of external resources becoming a reality, thus being of interest for a wide and diversified community of users. This book provides a thorough overview on the current efforts on this subject and suggests common directions for interested researchers and practitioners
The Use of Hypnosis in Therapy to Increase Happiness

In their journey through life, most people are looking for happiness. Definitions of happiness and the concepts of a pleasant, good, meaningful, and a full life are reviewed. Next, Seligman's (2002) concept of “authentic happiness” and a happiness formula, S+C+V (Set + Circumstances + Variables), are discussed. An integration of happiness, as a goal, and hypnosis, as a facilitative approach, are presented. Hypnotic techniques with case examples are given. Hypnosis is presented as an efficient companion intervention to work on these variables in a creative way and to pave the way to a happy and full life. The following results are presented: (1) hypnosis allows for increased executive attention with control of emotions, (2) focusing on positive imagery contributes to strengthening “happy pathways,” and (3) emotions about the past, present, and future are subject to change.
REMEMBERING AND FORGETTING AUTOBIOGRAPHICAL EVENTS: INSTRUMENTAL USES OF HYPNOSIS

Although intrinsic hypnosis research focuses on the phenomenon of hypnosis itself, instrumental research uses hypnosis as a tool to investigate phenomena outside its immediate domain. The present paper illustrates the value of instrumental hypnosis research by focusing on the use of hypnosis to explore the remembering and forgetting of autobiographical events. In particular, the paper focuses on a programme of research using post-hypnotic amnesia to develop a laboratory model of functional amnesia. This research highlights some of the theoretical and methodological challenges inherent in instrumental hypnosis research, as well as its interest and value. Finally, other potential uses of hypnosis within the domain of personal memory are discussed, including autobiographical memory in hypnotically elicited delusions.
Microhabitat‐specific early‐larval survival of the maritime ringlet (Coenonympha tullia nipisiquit)

Maritime ringlet butterflies (Coenonympha tullia nipisiquit McDunnough) are rare, endangered salt marsh butterflies with larvae that survive periodic tidal submergence. Only six disjunct populations are known to exist. First‐instar larvae were released and monitored in seven microhabitats within a salt marsh in Bathurst, New Brunswick, Canada. From resighting data, microhabitat‐specific daily death rates were estimated with maximum likelihood. The survival of the larvae released in groups was compared by calculating minimum number of larvae known to be alive (MNKA). Death rates were low in microhabitats with the larval host plant, salt meadow cordgrass (Spartina patens (Aiton) Muhl. ) and the major nectar source, sea lavender (Limonium carolinianum (Walter) Britton), a habitat with a moderate frequency of flooding. Because microhabitats have a large effect on the survival rate of young larvae, use of microhabitat profiles in salt marshes as habitat‐quality indices is recommended in critical‐habitat assessment and reintroduction efforts.
Long-term Water-aging of Whisker-reinforced Polymer-Matrix Composites

Long-term water exposure may degrade polymer-matrix composites. This study investigated the water-aging of whisker composites. It was hypothesized that whiskers would provide stable and substantial reinforcement, and that whisker type would affect water-aging resistance. Silica-fused Si3N4 and SiC whiskers were incorporated into a resin. The specimens were tested by three-point flexure and nano-indentation vs. water-aging for 1 to 730 days. After 730 days, SiC composite had a strength (mean ± SD; n = 6) of 185 ± 33 MPa, similar to 146 ± 44 MPa for Si3N4 composite (p = 0.064); both were significantly higher than 67 ± 23 MPa for an inlay/onlay control (p < 0.001). Compared with 1 day, the strength of the SiC composite showed no decrease, while that of the Si3N4 composite decreased. The decrease was due to whisker weakening rather than to resin degradation or interface breakdown. Whisker composites also had higher moduli than the controls. In conclusion, silica-fused whiskers bonded to polymer matrix and resisted long-term water attack, resulting in much stronger composites than the controls after water-aging.
Improved Parallel Lane Detection Using Modified Additive Hough Transform

Lane detection has recognition in real time vehicular ad-hoc system. That study work concentrate on giving greater efficiency in lane detection by utilizing the additive Hough transform to identify the curve lanes and convert into data parallelism in order to improve the speed of the proposed technique by using fork and join process. To accomplish performance evaluation various metrics is likely to be considered. The performance of lane detection algorithms is generally evaluated in terms of algorithm results and parallel results. Algorithm results is evaluated in terms of accuracy, error rate, execution time ,overhead and parallel results is evaluated in terms of speed, efficiency etc. To complete performance comparison the result of proposed algorithm is going to be compared with existing lane detection algorithms. Intelligent transportation systems are available these days for increasing the safety of the vehicles and reduce incident ratio. A new technique which uses modified additive hough transform is used to reduce the limitations of existing technique. The proposed algorithm has been designed and implemented in MATLAB. Index Terms—Lane detection, Modified additive Hough transfom, parallelisms, dynamic thresholding.
Channel bargaining with loss-averse retailer under general stochastic demand

We consider a channel bargaining problem in a two-echelon supply chain in this paper. Employing a loss-aversion utility function, we model the decision-making behavior of a loss-averse retailer and a risk-neutral manufacturer which is very common in practice. By investigating the equilibrium optimal order quantity and the equilibrium optimal wholesale price, we find that there exit equilibria for the equal bargaining power problem as well as for the unequal bargaining power problem. By analyzing the impacts on the equilibria and profit allocations and assuming the stochastic demand follows a uniform distribution with support over [0, b], we find that equilibrium wholesale price and the manufacturer's share of supply chain are not changing with the uniform demand distribution upper bound. However, equilibrium order quantity is strictly increasing with the uniform demand distribution upper bound.
Surface defect detection of plaster coating based on machine vision

As a kind of traditional Chinese Medicine, plaster has been favored by more and more patients because of its unique advantages in the treatment of diseases. For the coating of plaster, its quality is very important to the plaster. Therefore, coating surface defect detection is very necessary. The current mainstream detection method is manual inspection, there are many disadvantages in this, such as extremely low efficiency and bad for health. In light of this situation, a set of plaster coating quality automatic detection system based on machine vision has been proposed in this paper. Through a detailed analysis of the coating defects, a set of image detection algorithms have been given. It can be found from the experimental results that the algorithm can identify the type of defects and locate the position precisely. The error detection rate is low, and the robustness is good.
Does internationalization matter? Comparing the innovative performance of Brazilian multinational and non-multinational companies

Abstract Using data from the Brazilian Innovation Survey (PINTEC) and from a reference group composed of 110 Brazilian internationalised companies, the article applies a Propensity Score Matching (PSM) to obtain a control group of non-internationalised companies with similar characteristics to the reference group. PSM tests the following hypotheses: internationalised companies introduce more process and product innovations that display higher degrees of novelty, better technical enhancements and better organisational and marketing innovations. The results show that internationalisation matters to Brazilian companies only in terms of higher-level innovation novelty. The Brazilian case reveals also that the development of domestic technological leadership is a precondition for internationalisation even when it is strongly supported by public policies. Finally, internationalisation matters for developing countries to catch up as long as companies are able to explore technological niches and acquire rare resources of knowledge to get a technological leadership at global scale.
Graphene-Oxide-Based Saturable Absorber for All-Fiber Q-Switching With a Simple Optical Deposition Technique

A Q-switched erbium-doped fiber laser (EDFL) incorporating a graphene-oxide-based saturable absorber (SA) is proposed and demonstrated. The SA is fabricated by first dissolving graphene oxide nanopowder in water and subsequently using the thermophoresis effect to deposit it onto the fiber ferrule. The SA is integrated into a ring cavity EDFL, which uses a 3-m-long MetroGain Type-12 erbium-doped fiber (EDF) as the gain medium. The EDFL has a continuous-wave (CW) lasing threshold at a pump power of ~9 mW, with Q-switching behavior observed at pump powers ~18 mW and above. At the maximum pump power of ~100 mW, the Q-switched pulses generated by the EDFL have a repetition rate and pulsewidth of 61 kHz and 6.6 μs, respectively, along with an average output power of about 3.7 mW. Additionally, at the maximum power, the energy per pulse and peak power of the generated pulses are 61.3 nJ and 9.3 mW, respectively.
A low cost robust radiation hardened flip-flop circuit

A new radiation hardened flip-flop, named low power single-phase clocked rad-hard flip flop, is proposed. The structure is based on robust differential-input latches working on a single-phase clock, which allows a reduction in the number of nodes sensitive to radiation. The proposed structure optimizes area and power and offers better performance, as compared to state-of-the-art techniques. Experimental results from test chip manufactured in a 180-nm BCD technology exposed to heavy ions, neutrons and alpha particles show that the proposed structure significantly reduces single event upsets (SEU).
Antihypertensive activity in rats for SQ 14,225, an orally active inhibitor of angiotensin I-converting enzyme.

SQ 14,225 (D-3-mercapto-2-methylpropanoyl-L-proline) markedly lowered the blood pressure of the renin-dependent aortic-ligated and two-kidney Goldblatt hypertensive rat and failed to reduce blood pressure in the one-kidney Goldblatt hypertensive rat. In the two-kidney Goldblatt rat, SQ 14,225 (p.o.) was about 10 times as potent as teprotide, the nonapeptide SQ 20,881 (s.c.). Oral doses of SQ 14,225 moderately reduced the blood pressure of the Wistar-Kyoto spontaneously hypertensive rat but not that of the normotensive Wistar-Kyoto rat. Bilateral nephrectomy abolished the antihypertensive activity of SQ 14,225 in the spontaneously hypertensive rat. SQ 14,225 and SQ 20,881 elicited parallel dose-response curves in the two-kidney renal hypertensive rat. Post-treatment of spontaneously hypertensive rats with either agent failed to augment the antihypertensive effect produced by effective doses of the other agent. The results suggest that SQ 14,225 acts primarily by inhibiting the renin-angiotensin system to reduce elevated blood pressure, especially in presumably renin-dependent models of hypertension.
Revision of the Ketaketa subcomplex of blackflies of the Simulium damnosum complex

Abstract. A revision of the taxonomy of the Ketaketa subcomplex of the Simulium damnosum Theobald complex (Diptera: Simuliidae) is presented including new material from Tanzania, Malawi and South Africa. The cytotaxonomy, morphology and molecular identity of known and new taxa are described. The Ketaketa subcomplex is cytotaxonomically defined by the paracentric inversion 1L‐7. We recognize three sibling species, namely Simulium latipollex (Enderlein), Simulium plumbeum Krueger, sp.n. and Simulium kipengere Krueger, sp.n. , the latter comprising three cytoforms: ‘Typical’, ‘Linthipe’ and ‘Mombo’. The cytoforms ‘Mwamphanzi’, ‘Ketaketa’ and ‘Hammerkopi’ are synonymized with S. plumbeum. Identification keys are provided on the basis of chromosomal and morphological characters. In view of their potential role as vectors of human onchocerciasis (river blindness) we also discuss the possible medical importance of the different cytoforms and their geographical distribution.