Miracle-dz/UniFAR-FTUs huggingface dataset:
iTRAQ Proteins Analysis of Early Infected Papaya Plants with Papaya Dieback Pathogen

Papaya dieback disease is characterized by the greasy water-soaked lesions and spots on leaves and crowns. Defoliation and blemished of the papaya fruits are also being observed as a result of infection by Erwinia mallotivora. In an attempt to understand the molecular mechanisms leading to the bacteria pathogenesis and the papaya plant response to infection in a compatiblereaction, protein profiling during 24 hours post infection was studied using iTRAQ mass spectrometry analysis. The bacterium was sprayed into wounded leaves of a susceptible papaya cultivar (Eksotika 1) and proteome analysis was performed. The comparison of protein patterns of the treated and the control plants were carried out by labelling the control sample with iTRAQ 8 plex reagent 113 and inoculated samples with the iTRAQ 8 plex reagent 115 whichwere then analysed by peptide mass fingerprinting and identified by searches in public databases. Biochemical changes occurring in infected tissues were observed. Among the differentially expressed proteins were enolase, maturase K, superoxide dismutase, ascorbate peroxidase, phosphoribulokinase, CT114 and a hypothetical protein with unknown function.
QUICK RESPONSE PRACTICES AT THE WAREHOUSE OF ANKOR

In the warehouse of Ankor, a wholesaler of tools and garden equipment, various problems concerning the storage and retrieval of products arise. For example, heavy products have to be retrieved prior to light products to prevent damage. Furthermore, the layout of the warehouse differs from the layout generally assumed in literature. The goal of this research was to determine storage locations for the products and a routing method to obtain sequences in which products are to be retrieved from their locations. It is shown that despite deviations from the "normal" case, similar savings in route length can be obtained by adapting existing solution techniques. Total labor savings are far less than expected on basis of assumptions made in literature. With a minimum of adaptations to the current situation the average route length can be decreased by 30 %. There is no need for complex techniques.
Working Papers on Global Financial Markets No . 10 Burying the Stability Pact : The Reanimation of Default Risk in the Euro Area Roman Goldbach /

After neutering the Stability and Growth Pact (SGP) in 2005, recent developments pinpoint that financial markets considerably discriminate between qualities of European governmental borrowers. In this article we inquire whether and to what extent political statements and decisions within the realm of the European Union (EU) have deteriorated the effectiveness of the SGP from financial markets’ perspective. The SGP may represent a focal point in financial market actors’ calculus regarding long-term public debt formation. Accordingly, any news – such as political rhetoric in context of the SGP – affects financial market actors’ evaluation concerning governmental creditworthiness. We use financial market data to measure the influence that political events exert on governmental default risks. Using daily data for the EMU member states from 2002 to 2005 the analysis reveals that political rhetoric has considerably undermined the efficacy of the SGP. In turn, market forces have regained some more momentum. According policy implications are outlined.
Transformational Model of Management for Integrated Schools in the Philippines

One of the Department of Education’s initiatives to increase the literacy rate in the Philippines has been the conversion of elementary schools into integrated schools, meaning, a high school department is created or added. In the Northern Luzon area particularly in Ilocos Norte and Laoag City, nine elementary schools have been converted into Integrated Schools. This is to make sure that those who graduate from these schools will continue their schooling as these are practically located in isolated places. Unfortunately, the transformation of these elementary schools into integrated schools poses interesting challenges to the present school administrators because from managing just an elementary school, they already need to oversee the operation of an elementary and a high school and now with an added twoyear Senior High School in one campus. This means, their responsibilities have become doubled if not multiplied. This phenomenological study, therefore, aimed to develop a model based on the practices of the school administrators of integrated schools in the management of their respective institutions. Results of the interviews and focused group discussions reveal that there are management practices that are common to the integrated schools. However, some practices were also found to be unique to the schools. These practices reflect their coping strategies toward the limitations accompanying the changes in structure, instruction, and system of operation in the school. From these practices in managing change, processes and approaches were identified and a transformational model of management for integrated schools was subsequently designed.
The Type I Generalized Half Logistic Distribution

In this paper, we considered the half logistic model and de- rived a probability density function that generalized it. The cumulative distribution function, the n th moment, the median, the mode and the 100k-percentage points of the generalized distribution were established. Estimation of the parameters of the distribution through maximum like- lihood method was accomplished with the aid of computer program and a theorem that relate the generalized distribution to Pareto distribution was stated and proved. Finally, we obtained the distributions of some order statistics from the generalized half logistic distribution.
SPECIFICATION OF VARIANCE MATRICES FOR PANEL DATA MODELS

Many regression models have two dimensions, say time (t = 1,…,T) and households (i = 1,…,N), as in panel data, error components, or spatial econometrics. In estimating such models we need to specify the structure of the error variance matrix Ω, which is of dimension T N × T N. If T N is large, then direct computation of the determinant and inverse of Ω is not practical. In this note we define structures of Ω that allow the computation of its determinant and inverse, only using matrices of orders T and N, and at the same time allowing for heteroskedasticity, for household- or station-specific autocorrelation, and for time-specific spatial correlation.
The Momentum & Trend-Reversal as Temporal Market Anomalies

The main goal of this paper is to introduce and discuss the temporal dimension and the subsequent (time-series) functionalities of two well-known technical market anomalies - the momentum anomaly and the trend-reversal anomaly . Our approach not only challenging the efficient-market hypothesis but also has a temporal dimension because it uses the “ psychological time ” at the beginning of a move, as a parameter in overnight post-market asset position trading strategies and daytime asset position strategies as well. Momentum and reversal have been documented extensively in financial literature and they are viewed, in the current paper, as temporal momentum and temporal trend-reversal anomalies because they are hard to fully explain within the standard static asset-pricing paradigm. A rational dynamic and temporal representative agent could explain and document better these anomalies and this is the case of this article. The presented research shows that momentum profit accumulates entirely overnight, while trend-reversal profit occurs entirely intraday. These findings reject classical theories of intraday and overnight returns. Hence, (i) a well designed overnight-position return strategy based on temporal momentum anomaly ; and (ii) a well designed intraday-position return strategy based on temporal trend-reversal anomaly , could gain benefit at the expense of long-term investors and hedgers. After back-testing our research in available 16-year data, we found that overnight-position speculators profit from the proposed temporal momentum trading strategy approach at the expense of hedgers, and daytime swing traders profit from the proposed temporal trend-reversal trading strategy approach at the expense of long-term investors.
Knowledge and Perception of Social Media Advertising among Students of Kogi State University ,

The development and subsequent acceptance of internetbased social media has brought development to all facets of human endeavor including advertising. This has made advertisers to present their products on social media, where they could meet their prospective target market. This study was based on knowledge and perception of social media advertisements, among undergraduate students of Kogi State University, limited to two departments namely Mass Communication and Theatre Arts. The aim of the study is to assess the purchase habits of students who use social media, as a result of accessing such advertisements on social media. Objectives include ascertaining awareness of social media advertisements, examining the influence of such advertisements and the challenges in such advertisements. The literature reviewed conceptual, empirical and theoretical materials on social media, advertising and marketing, as well as knowledge and perception by the audience. The population of the study derived from the two departments under study was 1575, while sample size was 158. Structured questionnaire was instrument of data collection, while descriptive data analysis technique was used to present, analyze and interpret the data, using SPSS 20 and a reliability test was conducted showing high positive correlation of 0.912**. After data analysis, it was among others, found out that many of the respondents have access to social media, but not many buy products advertised on social media and due to challenges of poor data and epileptic networks, social media advertisements suffer setbacks. It was recommended that manufacturers should ensure that they gain feedback from their audience to enable them plan how to meet their targets.
Characterization of N-Myristoyltransferases in Vertebrate Embryos by Using Zebrafish: Appearance of Low Molecular Weight N-Myristoyltransferase 1 in Early Development

For the first step to explore the biological characteristics of NMTs during vertebrate’s embryogenesis, we concentrated on zebrafish as a useful model of higher organisms. By in silico analysis of amino acid sequences, we found that zebrafish NMT1 (zNMT1) and zNMT2 which are translated from nmt1a and nmt2 genes had high homology to human or mouse NMT1 and NMT2, respectively. Expression analysis of nmt1a and nmt2 by RT-PCR and RNA blotting revealed that both genes were expressed during early development, and nmt2 expression was major initial developmental stages. Inhibition of zNMTs by 2-hydoroxymyristic acid (2-OHMyr) at early development resulted in embryonic lethal. Morpholino antisense oligo against nmt1a caused development arrest in early epiboly stage. Those results suggest that zNMTs are necessary for development after early epiboly stage. The recombinant zNMT1 was then prepared and its N-myristoyltransferases activity was confirmed. Finally, we analyzed expression of zNMT1 proteins in embryos at several developmental stages, and found that low molecular weight zNMT1 (29 kDa), which included N-terminal part of zNMT1, appeared specifically during embryonic development. Expression of full length zNMT1 fused to myc-His tag at its C-terminal resulted in production of low molecular weight protein (35 kDa). Detection of intact NMTs in protein extract from early embryos showed that there existed low molecular weight NMTs with substrate binding activity. From these findings, we concluded that zNMTs, like mammalian one, are also essential for zebrafish development, and low molecular weight zNMT1 appeared specifically in early developmental stage. Those isoforms might play important role in developmental processes in early embryos.
How diverse a farmer-managed wheat landrace can be?

Phenotypic variation in phenological, quantitative and qualitative traits was assessed in geographically-isolated, farmer-managed wheat landrace populations grown under subsistence farming conditions. Several multivariate, genetic diversity and structural equation modeling procedures were used to build a comprehensive structure of the landrace and to (1) identify and construct multivariate distances between components of the landrace, (2) identify plant- and seed-related traits contributing to its composition, (3) build principal components that can account for maximum variation, (4) quantify variance components accounted for by major seed qualitative traits, (5) partition total diversity and estimate levels of population differentiation, (6) build and validate a predictive model of landrace population-trait association, (7) identify traits affecting spikelet fertility as a critical component of grain yield under the prevailing hot conditions in Oman, and (8) construct and interpret structural equation models to estimate the direct and indirect effects of quantitative and qualitative traits on grain yield per plant for each landrace population. The results will be discussed within the context of on-farm conservation and sustainable utilization of endangered wheat landrace populations under subsistence farming and to illustrate the use of advanced multivariate statistical methods in assessing phenotypic variation in subdivided landrace populations.
Factors Determing Interest Rate Variations in Ghanaian Banks

This study examined interest rate variations among banks in Ghana. The objective of the study was to estimate the key driving factor(s) that influences interest rate spreads in Ghana. It was also the aim of this study to examine the impact of the 2008/2009 financial crises on this relationship, to know whether ownership (foreign and local banks) differences in this relationship is significant and to know whether age of the bank determines their interest rate spread. The study used an unbalanced panel of all 28 banks from 2000 to 2011. The fixed effect estimation technique was employed throughout the analysis of data. The study found that, for bank specific variables, age of a bank was significant and a positive determinant of net interest margin while ownership structure had a significant negative impact on net interest margin. This suggests that banks that have been in operations in the country for a long time seem to enjoy higher interest margins while generally most of the foreign banks seem to have narrower margins. The size of the banks and the operational cost did not show any significance.The industry variable measured by the HHI of loans showed strong positive impact on net interest margin suggesting that indicates that when advances in loans are concentrated among few banks, they tend to enjoy wider spreads. Moreover, for the macroeconomic variables (Inflation, monetary policy rate and exchange rate) none of them was a significant determinant of banks’ net interest margins. The dummy variable for the 2007/2009 banking crises showed a significant negative impact on the interest rate spread of banks in Ghana.
Voltage Scheduling Techniques for Dynamic Voltage Scaling Processors with Practical Limitations

by Bren Christopher Mochocki Voltage scheduling is an essential technique used to exploit the benefit of dynamic voltage scaling processors. Though extensive research exists in this area, processor limitations such as transition overhead and voltage level discretization are not included simultaneously in any research processor model to date. Algorithms that account for individual limitations are not sufficient because some complications only emerge when limitations are considered simultaneously. We present two algorithms that yield valid results given an arbitrarily large transition time overhead. The first, LPEDF, offers a simple implementation, while the second, UAEDF, accounts for all three processor limitations to further reduce energy consumption.
Demographic study of the green leafhopper, Empoasca decipiens (Hemiptera: Cicadellidae) on four sugar beet cultivars.

The green leafhopper, Empoasca decipiens Paoli (Hemiptera: Cicadellidae) is one of pests of sugar beet, Beta vulgaris L. in Iran. In this research, life table, reproduction and population growth parameters of E. decipiens were studied on four sugar beet cultivars: Shirin, Rasool, PP8 and IC. The experiments were conducted in a growth chamber at temperature of 25±1 o C, 50-60% RH and a photoperiod of 16:8 (L:D) h. The survival rate of individuals developed into adults from the initial cohort stage was estimated 0.78, 0.81, 0.78, and 0.76 on Shirin, Rasool, PP8 and IC, respectively. The life expectancy was 13.75, 14.89, 14.46 and 15.72 days, respectively at the first day of adult emergence. The highest gross and net fecundity rates were on IC and Shirin, respectively. Gross reproduction rate were 22.03, 20.07, 22.06 and 22.31 female per female per generation, on Shirin, Rasool, PP8 and IC, respectively. Intrinsic rate of increase ( rm) were 0.099 and 0.104 (day -1 ) on Shirin and IC, respectively. The mean generation time ( T), net reproduction rate ( R0), doubling time ( DT ) and finite rate of increase ( �) on these cultivars were estimated by Jackknife method: 29.1431. 75 days, 20.07-22.31 female per female per generation, 6.62-7.01 days, and 1.103-1.110 offspring per female per day, respectively. These results provide important information for demographic parameters of the green leafhopper on different sugar beet cultivars.
Formal Modeling and Analysis of Data Protection for GDPR Compliance of IoT Healthcare Systems

In this paper, we investigate the implications of the General Data Privacy Regulation (GDPR) on the design of an IoT healthcare system. From 26th May 2018, the GDPR will become mandatory within the European Union and hence also for any supplier of IT products. Breaches of the regulation will be fined with penalties of 20 Million EUR. This is a strong motivation for system designers to enable the proof of compliance to the GDPR. We propose the use of formal modeling and analysis using interactive theorem proving. Based on previous work on modeling infrastructures and security policies for insider attacks, we demonstrate the use of logical modeling and machine assisted verification to support data protection (privacy) by design. We illustrate this process on the case study of IoT based monitoring of Alzheimer's patients that we work on in the CHIST-ERA project SUCCESS.
A MATHEMATICAL MODEL FOR EVALUATING ACCELERATED WEAR DUE TO INEFFICIENT MAINTENANCE

This paper examines accelerated wear due to inefficient maintenance practice in the engineering orga- nization, with a special focus on plant machinery. It considers some important parameters, mathematical rela- tions and how to reduce the effect of poor maintenance practices on plant machinery. Mathematical tools of calculus, series, statistics, and variation were utilized in the development of the model. The result shows that poor maintenance practices increase accelerated wear in plant machinery while good maintenance is aided by planned maintenance, well-stocked inventory of spare parts, good production procedures, extended plant life, etc. This work is limited in scope since it considers a limited number of parameters as measures of wear. The paper is valuable to the maintenance manager and practitioners who intend to produce/manufacture and at the same time minimize the accelerated wear in production machinery by close monitoring, and using the model as a tool. The work is of immense benefits to managers in process industries, particularly in oil and gas exploration activities. The work is new, presenting a simple approach for easy adaptation in the industry. The approach utilized is not yet documented in the maintenance engineering literature. Thus, a new area of research is opened up for research explorations for the members of the maintenance engineering community.
Recent progress in liquid crystal THz optics

Recently, there have been increasing interests in the study of liquid-crystal-based devices for application in the submillimeter wave or THz frequency range. In this paper, we present recent progress in liquid crystal THz optics from our group. Using time-domain THz spectroscopy, we have determined the complex indices of refraction of nematic liquid crystals, 5CB, PCH5 and E7 from 0.2 to beyond 1 THz. Significantly, the birefringence of 5CB and E7 are found to be as large as 0.2 at THz frequencies, while the absorption is negligible. Electrical-field and magnetic-field-controlled birefringence in LC were also investigated. A tunable room-temperature THz phase shifter using magnetic-fieldcontrolled birefringence in nematic 5CB gives a phase shift as large as 108° at 1.0 THz. Phase shift exceeding 360° at 1 THz, an important milestone, was realized by using a sandwiched LC (E7, Merck) cell as thick as 3 mm. The magnetically tuned LC phase shifter served as key components in a two-element tunable LC Lyot filter. The tuning range of the filter is from 0.388 to 0.564 THz or a fractional tuning range of ~ 40%. Our work clearly demonstrates the potential of liquid crystal devices for THz applications. Finally, we will present initial works on control of enhanced THz transmission through a metallic hole array with nematic liquid crystals. Our work clearly demonstrates the potential of liquid crystal devices for THz applications.
THRESHOLD ELECTRON-POSITRON PAIR PRODUCTION BY A POLARIZED ELECTRON IN A STRONG MAGNETIC FIELD

Quantum electrodynamic processes in strong magnetic field keep their urgency for both theoretical and experimental study. Strong magnetic field modifies physical processes and allows new ones to occur, like e+e− pair production by a moving electron. The field strength is measured with respect to the so called critical Schwinger field Bc = mc/e ≈ 4.4 · 10 G. When magnetic field strength B is comparable with the critical one, the quantum electrodynamical treatment of QED processes is necessary. Critical and subcritical magnetic fields are not feasible in laboratory conditions at present time. The strongest field was created using explosive generators [1] and had the strength of about 30 MG, which is still much less than Bc. Nevertheless, neutron stars are believed to have surface magnetic fields within the range from 10 G for radiopulsars to 10 G for magnetars. Thus, QED processes in magnetic field are of great importance in astrophysics. It is necessary to mention the possibility to study QED processes in subcritical magnetic field in experiments on heavy ion collisions [2]. If the impact parameter has order of magnitude ∼ 10−10 cm, then magnetic field of moving ions can approach magnitude of ∼ 10 G in the region between the ions. These experiments could be carried out at the facilities like LHC or FAIR, which is under construction at the present time in GSI (Darmstadt, Germany). It is necessary to notice that reaction of e+e− pair production by an electron in intense laser field was experimentally studied at SLAC [3]. Up to 106± 14 events were reported to be observed in collisions of ∼ 50 GeV electron beam with terawatt laser pulses. In Ref. [4] this process was studied numerically. In the present work the second-order process of e+e− pair production by an electron in strong magnetic field (see Figure) is analytically studied near the process threshold. Analytical expressions for the total process rate were obtained for subcritical magnetic field strength B Bc. It is shown, that the main contribution to the rate is determined by the resonant case in agreement with Refs. [3, 4].