Miracle-dz/UniFAR-FTUs huggingface dataset:
Undesirable Algae ( Cyanobacteria ) and the Use of Probiotic in Shrimp ( Penaeus Monodon ) F arming

Shrimp farm effluents increase concomitantly the deterioration of the mangrove ecosystem, as well as to the production in farming herself. The long term effects of this pollution drove to the proliferation of the undesirable algae (Cyanobacteria). The use of the probiotic (Epicin) is the means adopted to fight against these undesirable algae. The aim of this study was to find out the conditions in which probiotic can be efficient and its effects on the water quality in shrimp farming. A multiple linear regression was established to know the parameters of the reservoir channel that can influence the evolution of Cyanobacteria in ponds and ANOVA was used to see if there is a significant difference between the Cyanobacteria concentration for each monitored pond. The results showed that with a R2=0.550 and R2 adjusted=0.517, the alkalinity and the rate of phosphate of the water of the reservoir channel are the main variables that have an influence on the growth of the Cyanobacteria in ponds. High alkalinity is an element that inhibits the efficiency of the probiotics in the fight against the undesirable algae. The installation of the bioremediation by these bacteria causes the reduction of phytoplankton density in the ponds, and also, it decreases the rate of pollution of the water quality.
Performance assessment of high schools in Nour Abad Mamasani city by using data envelopment analysis (DEA)

Performance assessment is a fundamental requirement in the face and compatibility with developments and continuous improvement activities. Schools with the main task in training manpower required of society and job opportunities are not excluded. Each of the performance evaluation models are a device which after the implementation can be provided various information for decision makers. The aim of this study is evaluate the performance and public high schools ranking in Nour Abad mamasani city in natural sciences major. In this study, we were done performance evaluation and public high schools ranking in Nour Abad mamasani city in natural sciences major by using mathematical model of data envelopment analysis as an output oriented model and use of GAMS software in a time period of 2012-2014 years. In this model, we considered four input variables include: per capita budget for schools, teaching experience of teachers in levels of third- and fourth year in natural sciences major, academic degree of teachers in levels of third- and fourth year in natural sciences major and grade point average of second-year students, and three output variables include: grand point average of final examinations for third- year students of natural sciences major, grand point average of final examinations for fourth- year students of natural sciences major and the number of admitted students in the state university entrance examination. 11 high schools were studied that 7 schools were efficient and four educational groups were inefficient. Efficient high schools ranking is done by Peterson and Anderson ranking method (AP) that Shahed, Amir Kabir, Farhangian, Hazrat-e Maryam (1), Shohadaye Mamasan ,Fatamiyeh and Shahid Motahari high schools were ranked respectively from first to seventh as efficient units.
Study the Changes in Al-ahwaz Marshal using Principal Component Analysis and Classification Technique

In this paper, six bands data sets taken from the landsat-7 ETM (Enhanced Thematic Mapper). To determine the changes which occur in Alahwaz marshal during 2000 and 2013. the principal component analysis has been used to detect the changes which occur during the years(2000 and 2013). The unsupervised classification process which is the modified (K-mean) is used to classify the changes occur in the marshal region and the area surrounding it. This type of classification depend on the color and distance between the classes, a hybrid methods which are the principal component analysis with the K-mean which has been implemented to produced the best change detection regions. Keywords: PCA, K-mean, statistical parameters.
Diallel Analysis of Four Maize Traits and a Modified Heterosis Hypothesis

Diallel analysis of quantitative traits has contributed greatly towards improving crops and understanding of heterosis. Nevertheless, the mechanisms of heterosis are still unclear. The objectives of this study were to: (i) investigate whether reciprocal crosses and environments affect heterosis of quantitative traits, such as maize (Zea mays L.) grain yield (GY), kernel number per row (KR), kernel rows per ear (RE), and 100-kernel weight (KW); (ii) determine whether heterosis of a composite quantitative trait (CQT), such as GY, is impacted by heterosis of its inherent component traits (ICTs; i.e., KR, RE, and KW); and (iii) evaluate if current hypotheses and/or theories of heterosis need to be modified. Data were obtained from a 12-parent diallel cross (F 1 and reciprocal F 1 ). Heterosis varied among crosses, between reciprocal crosses, and across environments. Further, heterosis of GY, a CQT, was greatly impacted by heterosis of its ICTs. Nonsignificant variances for females × males × year and specific combining ability (SCA) × year interactions for heterosis strongly suggested that the gene expression in both parents and their crosses might be similar or that the same genes from two parental lines might complement each other in crosses and offer additional choices for allele selection in hybrids, which could make hybrid performance stable across environments. Study results helped us propose a modification of Goff’s ‘energy-efficient allele selection’ (EEAS) model. We discuss how the modified model not only explains what previous heterosis theories can explain, but additionally how it can explain certain aspects that previous heterosis theories are unable to explain.
Labor productivity measurement in Japanese agriculture , 1956-90 Y

This paper investigates the factors responsible for a drastic decline in the growth rate of labor productivity of the agricultural sector for the 1956-90 period. This investigation is carried out by a newly devised procedure which decomposes the growth rate of labor productivity into (1) the total substitution effect which consists of the effects due to factor price changes and biased technological change, and (2) the TFP effect composed of the effects due to scale economies and technological progress. Based on empirical estimation of the translog cost function, it was found that the total substitution effect contributed to the growth of labor productivity much more than the TFP effect did for the period under question.
Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values

This study investigates the price effects of environmental certification on commercial real estate assets. It is argued that there are likely to be three main drivers of price differences between certified and noncertified buildings. These are additional occupier benefits, lower holding costs for investors and a lower risk premium. Drawing upon the CoStar database of U.S. commercial real estate assets, hedonic regression analysis is used to measure the effect of certification on both rent and price. The results suggest that, compared to buildings in the same submarkets, eco-certified buildings have both a rental and sale price premium.
Post-harvest attributes and consumer acceptability of green mealies (Zea mays) stored at ambient and refrigeration temperatures in Swaziland

Maize (Zea mays) is the staple food of the Swazi people and many traditional societies in Africa. When freshly harvested, the product is referred to as green mealies and is highly valued in Southern Africa. Green mealies are highly perishable compared to dry maize because of their high water content which affects their keeping quality. There is need therefore to find suitable post-harvest handling methods to retard deterioration processes of green mealies. Thus, the main objective of this study was to investigate the consumer acceptability of boiled green mealies which were initially stored at various temperatures ( 1.5 o C, 5°C and ambient temperature). The study also investigated the effect of storing samples under these conditions on total soluble solids (TSS) and mass loss. The study was carried out at the Food Science and Technology Laboratory of the University of Swaziland, Luyengo Campus. Two experiments were conducted where, in each experiment, there were three treatments (storage at 1.5 o C, 5 o C or ambient temperature) replicated three times. The treatments were arranged in a randomized complete block design (RCBD). Data pertaining to TSS, mass loss and sensory evaluation at 2, 4, 6, 8 and 10 days after storage were collected. Total soluble solids ranged between 2.55 and 6.3% and mean mass loss ranged from 2.68 to 11.53 % by the end of the experiment. There were significant (p<0.05) differences with respect to the acceptance of the samples from various storage temperatures by a consumer panel. Green mealie bread or bolied green mealies previously stored at 1.5 o C were most accepted by consumers followed by samples stored at 5 o C and lastly those stored at ambient temperature. All the samples of green mealies lost quality to a certain extent during storage which showed that loss of quality can not be stopped but can be minimised.
Bayesian Methods in Ground Penetrating Radar

Conventional Ground Penetrating Radar [GPR] suffers from displays that are difficult to interpret. In contrast, Bayesian methods allow description of target location probability that simplifies interpretation. We demonstrate the application of these methods to underground pipe identification. The instrumentation chosen shows only changes in targets, thereby eliminating targets such as layers of sediment which provide constant reflections.A low frequency interferometer is used to collect data on subsurface obstacles. A simple model for the near‐field reflection allows computation of the probability of the target location. The antennas of the interferometer are orthogonally polarized, and a balancing mechanism allows minimizing the effects of direct transmission of signals. Thus, the interferometer shows, mainly, reflections from changes in the target geometry. Using PIXON methods, resolution improvement was achieved. Applications tested were land mine location and utility pipe location. An added benefit is.
Lead Accumulation and its Effects on Growth and Biochemical Parameters in Tagetes erecta L

Tagetes erecta L. was raised in pots containing soil treated with various concentrations of Pb(NO3)2 (500, 1000, 1500, 2000 and 2500mg/kg). At maturity plants were separated into root, stem, leaves and inflorescence and lead accumulated in each part was quantified. The effects of lead accumulation on growth was analyzed by the measurement of various growth parameters like root and shoot length, fresh and dry weight of root and shoot and total leaf area per plant. Moreover effect of lead accumulation on biochemical parameters was checked by quantitative estimation of various biochemical parameters like chlorophyll, total protein, free amino acids, total sugar, reducing sugar and starch. Results showed that there is no remarkable negative effect of accumulation of lead on the morphological growth of the plant. Biochemical analysis showed that amount of total protein continuously decreased whereas that of free amino acids continuously increased with increasing concentrations of lead. Amount of chlorophyll, total sugar, reducing sugar and starch contents continuously increased till mid-level i.e., Pb 1500 mg/kg and then continuously decreased at higher concentrations. Results of quantitative estimation of Pb in root, stem, leaves and inflorescence showed that roots accumulated highest amount of Pb followed by stem and leaves, whereas inflorescence contained least amount of Pb. Key-wordsLead (Pb), Heavy metal, Tagetes erecta L. , Accumulation, Phytoremediation INTRODUCTION Heavy metal pollution is one of the severe problems faced by the world today. As a consequence of the industrial revolution there is an enormous and increasing demand for heavy metals that leads to high anthropogenic emission of heavy metals in the biosphere. Their accumulation in soil becomes dangerous to all kind of organisms including plants. These are a unique class of toxicants since they cannot be broken down to non-toxic forms easily. Metals like Pb, Hg, Cd, Ar, and Cr have no biological function and are toxic to life even at very low concentration. Lead is a potentially toxic heavy metal with characteristic toxic action and is the main source of environmental pollution. Lead is one of the potentially toxic heavy metal pollutants of the environment with no known biological function and its concentrations are rapidly increased in Access this article online Quick Response Code Website:
Trusted Heartbeat Framework for Cloud Computing

In cloud computing environment, as the infrastructure not owned by users, it is desirable that its security and integrity must be protected and verified time to time. In Hadoop based scalable computing setup, malfunctioning nodes generate wrong output during the run time. To detect such nodes, we create collaborative network between worker node (i.e. data node of Hadoop) and Master node (i.e. name node of Hadoop) with the help of trusted heartbeat framework (THF). We propose procedures to register node and to alter status of node based on reputation provided by other co-worker nodes.
Dark baryons not in ancient halo white dwarfs

Having ruled out the possibility that stellar objects are the main contributor of the dark matter embedding galaxies, microlensing experiments cannot exclude the hypothesis that a significant fraction of the Milky Way dark halo might be made of MACHOs with masses in the range $0.5-0.8 \msun$. Ancient white dwarfs are generally considered the most plausible candidates for such MACHOs. We report the results of a search for such white dwarfs in a proper motion survey covering a 0.16 sqd field at three epochs at high galactic latitude, and 0.938 sqd at two epochs at intermediate galactic latitude (VIRMOS survey), using the CFH telescope. Both surveys are complete to I = 23, with detection efficiency fading to 0 at I = 24.2. Proper motion data are suitable to separate unambiguously halo white dwarfs identified by belonging to a non rotating system. No candidates were found within the colour-magnitude-proper motion volume where such objects can be safely discriminated from any standard population as well as from possible artefacts. In the same volume, we estimate the maximum white dwarf halo fraction compatible with this observation at different significance levels if the halo is at least 14 gigayears old and under different ad hoc initial mass functions. Our data alone rules out a halo fraction greater than 14% at 95% confidence level. Combined with two previous investigations exploring comparable volumes pushes the limit below 4 % (95% confidence level) or below 1.3% ( 64% confidence), this implies that if baryonic dark matter is present in galaxy halos, it is not, or it is only marginally in the form of faint hydrogen white dwarfs.
Efficient Approach for the Computational Study of Alcohol and Nitrile Adsorption in H-ZSM-5

Since many industrially important processes start with the adsorption of guest molecules inside the pores of an acidic zeolite catalyst, a proper estimate of the adsorption enthalpy is of paramount importance. In this contribution, we report ab initio calculations on the adsorption of water, alcohols, and nitriles at the bridging Bronsted sites of H-ZSM-5, using both cluster and periodic models to account for the zeolite environment. Stabilization of the adsorption complexes results from hydrogen bonding between the guest molecule and the framework, as well as from embedding, i.e., van der Waals interactions with the pore walls. Large-cluster calculations with different DFT methods, in particular B3LYP(-D), PBE(-D), M062X(-D), and ωB97X-D, are tested for their ability to reproduce the experimental heats of adsorption available in the literature (J. Phys. Chem. B1997, 101, 3811–3817). A proper account of dispersion interactions is found to be crucial to describe the experimental trend across a series of ad.
An error corrected almost ideal demand system for major cereals in Kenya.

Despite significant progress in theory and empirical methods, the analysis of food consumption patterns in developing countries, particularly those in Sub-Saharan Africa (SSA), has received very limited attention. An attempt is made in this article to estimate an Error Corrected Almost Ideal Demand System for four major cereals consumed in Kenya employing annual data from 1963 to 2005. This demand system performs well on both theoretical and empirical grounds. The symmetry and homogeneity conditions are supported by the data and the "Le Chatelier" principle holds. Empirically, all own-price elasticities are negative and significant at 5% level and irrespective of the time horizon, maize, wheat, rice, and sorghum may be considered as necessities in Kenya. While the expenditure elasticities of all four cereals are positive, they are inelastic both in the short run and in the long run. Finally, wheat and rice complement maize consumption in Kenya while sorghum acts as a substitute. Since cereal consumers have price and income inelastic responses, a combination of income and price-oriented policies could improve cereal consumption in Kenya. Copyright (c) 2010 International Association of Agricultural Economists.
Cloning and Expression of Xylitol Dehydrogenase Enzyme from Spathaspora passalidarum in Saccharomyces cerevisiae

Spathaspora passalidarum is a natural xylose fermenting yeast that have the fungal pathway for converting xylose to ethanol. The second enzyme in this pathway is NAD + - dependent Xylitol dehydrogenase which converts xylitol to xylulose. In this study, the sequence of the nucleotides for XYL2 gene is found in JGI site. It consists of 1098 bp and code for 365 amino acids. The forward and reverse primers were designed with restriction sites on the 5` termini which are SacII and NotI restriction enzyme respectively using Lasergene 9.0 program. Genomic DNA was isolated and purified from S . passalidarum and amplified using PCR and it cloned into pSN303 resulting of the pYIM2 plasmid. Then it is transformed into Escherichia coli. This plasmid was isolated from E. coli and retransformed into S. cerevisiae and transformant is called YJTY2. Results showed that enzyme specific activities with NAD + as cofactors were 2.32 and 0.0 U/mg for S. cerevisiae YJTY2 and S. cerevisiae (CENPK2.1D) respectively. The enzyme did not show any activity with NADP + as a cofactor. This enzyme is NAD + dependent and can be used in combination with xylose
A Modified PWM Scheme for Harmonic Reduction in Hybrid System without Filter

The ever increasing demand for conventional energy sources drives society towards the research and development of alternative energy sources such as wind and solar energy. The integration of these energy sources form a hybrid system, is an excellent option for distributed energy applications. The successful implementation of such a hybrid energy system is greatly depend on the design of suitable power electronics and their control, which will help to improve the performance and reliability of the system. This research presents an important aspect of designing a voltage source inverter, using novel carrier PWM techniques. In this paper, a new UN shape Carrier Pulse Width Modulation (UNCPWM) technique has been suggested, which uses the conventional sinusoidal reference signal and an UN shape carrier for minimizing the Total Harmonic Distortion (THD) and to enhance the fundamental output voltage in hybrid system. The Simulation has been carried out in MATLAB Simulink to analyze the performance of the proposed technique by means of comparing the fundamental component of RMS output voltage and THD for different values of modulation index. This simulation results shows that the performance of the voltage source inverter, based on UNCPWM technique is considerably efficient than the existing pulse width modulation (PWM) techniques.
A Geographic Approach to International Economics:“Strategic Trade Policy”?

This paper introduces a trade cost asymmetry into the Core-periphery model to investigate the location effects of protection. Trade costs arise from the active choice of governments. In the case of a country that can decide the level of barriers to imports without retaliation by the other country, unilateral protection is shown to attract firms and to increase the welfare of residents. Since all countries face a rational incentive to unilateral protection, non- cooperative behaviour may lead to an inefficient equilibrium with too much protection.
A radiation learning support system by tri-sensory augmented reality using a mobile phone

A radiation learning support system has been developed to support learning basic knowledge of radiation and its strength of human body impact by using tri-sensory Augmented Reality (AR) technology with presenting information to visual, auditory and haptic sensation. The system consists of a knowledge learning mode in which learners can learn basic knowledge of radiation and an experience learning mode in which they can virtually experience its strength of human body impact under various conditions. As the result of a simple evaluation, it was suggested that the system improves the learners' intuitive understanding, and information presentation of the radiation strength to auditory and haptic sensation is more comprehensive than that to visual sensation. Keyword: radiation learning; augmented reality; mobile phone; experience learning; multimodal learning
Cell-Based Screening to Identify Cytoprotective Compounds

Prevention of cellular injury and consequent cell death is expected to provide therapeutic benefit in various diseases, but with the complexity of cell damaging pathways involved, identification and validation of novel potential drug targets is not a trivial task. New drug targets are expected to take part in complex responses with wide-ranging effects on gene expression and cellular function and drug candidates rather modify these effects than act as simple agonists or antagonists to ultimately protect the cells from an injury. Phenotypic screening may help identify cytoprotective compounds in diseases, in which the lack of drug targets makes target-based approaches unfeasible. This chapter gives an overview of the strategy of cell-based assay development, primary screening, hit selection and confirmation. Considerations about the choice of small molecule compound libraries utilized in cell-based models are discussed as well as the use of clinical drugs for drug repurposing or repositioning. The choice of cell types and issues associated with cell culture techniques are overviewed and the most common assays and readouts are briefly described. Finally, the potential pitfalls of data analysis and hit selection are discussed.