Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Dietary Supplementation with Different Levels of Green Tea Powder and Fish Oil or their Combination on Carcass Characteristics in Broiler Chickens

This study was aimed at assessing the effects of fish oil and green tea powder and their combination on carcass traits and intestinal measurements of broiler chickens reared for 42 d of age. Two hundred and seventy day- old male broiler chicks (Ross 308) were randomly assigned to one of nine dietary treatments with three replicates of 10 chicks based on a completely randomized design. The dietary groups comprised a control diet without feed additive; diets containing only 1.0 or 1.5% of green tea powder; diets containing 1.5% of fish oil combined with 0, 1.0 or 1.5% of green tea powder; diets containing 2.0% of fish oil combined with 0, 1.0 or 1.5% of green tea powder. The growth responses achieved by broilers from all dietary groups complied with the standards. Dietary inclusion of fish oil and green tea powder did not affect broilers' body weight and carcass yield as well as meat cuts compared with those fed the control diet. Feeding a combination of fish oil and green tea powder resulted in lower abdominal fat and neck percentages in birds as well as in higher heart and jejunum percentages. In conclusion, results from the current trial suggested that the dietary supplementation with a combination of fish oil and green tea powder may support carcass parameters in broilers. Further research is needed to assess the effects of these supplements as a feed resource for poultry production.
Climatically controlled chemical and biological development in Arctic lakes

[1] We investigated the factors controlling lake evolution in Arctic ecosystems using a multiproxy paleolimnological approach on a small lake on Baffin Island, Arctic Canada. Lakewater pH was inferred from fossil diatom assemblages, whereas primary production was assessed from sediment concentrations of diatom valves and spectrally inferred chlorophyll a. Our reconstructed limnological variables registered synchronous changes and showed a close coupling to Holocene climatic fluctuations, as inferred by numerous independent paleoclimate proxies. Without exception, our highest pH and production values occurred during warm intervals, and vice-versa. A return towards paleolimnological conditions of the warm early Holocene has occurred since the midtwentieth century, corresponding to climate warming following the Little Ice Age. Maximum recent values of our reconstructed parameters are either directly comparable to, or in some cases exceed, values attained during the Holocene Thermal Maximum, 8000–10,000 years ago. Our data suggest that climate has a first-order influence on primary production and the regulation of in-lake DIC dynamics (and hence on lakewater pH) through its modulation of lake ice cover. We conclude that direct forcing by climate is more important than catchment processes in controlling the chemical and biological development of ice-dominated Arctic lake ecosystems, at the scale of the Holocene.
Influence of Agricultural Practices on Soil Properties and Fruit Nutrient Contents of Bell Pepper

Bell pepper is an economic product that widely used in the world. The total of Bell pepper and Chile pepper production of the world is about 25 million metric tons, while in Jordan about 5,000 ha are planted by bell pepper annually.During the 2010/2011 season,an experiment was carried out under plastic-house conditions at the Station of Princess Tasneem Bent Ghazi for Technological Research at Humrat Al-Sahen.To compare the effect of four fermented organic matter sources (cattle, poultry and sheep manure in addition to 1:1:1 mixture of the three organic matter sources), with that of the conventional treatment on soil properties and fruit nutrient content of bellpepper cultivar Marvello by using a randomized complete block design (RCBD) with four replicates.Conventional treatment had a significant higher effect on the soil pH, EC, N, P, K and Na. Fruit nitrate content was within the acceptable levels. A high content of micronutrients (Zn and Fe) were observed in the conventionally treated bell pepper fruits.In addition, the bell pepper fruit content of minerals was higher in conventional treatment than all other organic treatments. The highest yield per plant was obtained by the conventional treatment, in comparison to other treatments. Although the reduction in yield per plant and the total yield reduction was about 20 % less than conventional farming, but the increase in profit was almost doubled due to higher prices of organic bell peppers.
Karyotypic studies in four species of Gynura in Tribe Senecioneae (Asteraceae)

Karyotypes of four Gynura species were investigated from root tips in mitotic metaphase. All species have the same chromosome numbers (2n = 2x = 20). Chromosome designations revealed that these species have the same symmetrical karyotype, consisting of metacentric (m) and submetacentric (sm) chromosomes. However, the differences in karyotype formulas of the four species were elucidated as follows: 7m + 3sm in two varieties of G. pseudochina DC. , 8m + 2sm in G. procumbens Merr. and G. calciphila Kerr and 9m + 1sm in Gynura sp. These results show relationships among these four species.
Leslie Method in R – Step-by-Step Regression

The number of individuals in a population at some initial time, called initial population size, can be estimated by the sum of sequential catches required to remove all fish from the population. However, the removal of all fish from a population is costly, in monetary, human, and natural resource terms. Fortunately, estimates of the initial population size can be made by examining how the removals of fish, either through the catch of a fishery or by experimental monitoring, affect the relative abundance of fish remaining in the population (Hilborn and Walters 1992). These methods are generally called depletion or removal methods as they rely on observing populations where the stock of fish is being depleted by removals of fish. In this vignette, three depletion methods used for estimating the population size are developed for a closed population with no mortality, recruitment, immigration, or emigration.
Fitting three-level meta-analytic models in R: A step-by-step tutorial

Applying a multilevel approach to meta-analysis is a strong method for dealing with dependency of effect sizes. However, this method is relatively unknown among researchers and, to date, has not been widely used in meta-analytic research. Therefore, the purpose of this tutorial was to show how a three-level random effects model can be applied to meta-analytic models in R using the rma.mv function of the metafor package. This application is illustrated by taking the reader through a step-by-step guide to the multilevel analyses comprising the steps of (1) organizing a data file; (2) setting up the R environment; (3) calculating an overall effect; (4) examining heterogeneity of within-study variance and between-study variance; (5) performing categorical and continuous moderator analyses; and (6) examining a multiple moderator model. By example, the authors demonstrate how the multilevel approach can be applied to meta-analytically examining the association between mental health disorders of juveniles and juvenile offender recidivism. In our opinion, the rma.mv function of the metafor package provides an easy and flexible way of applying a multi-level structure to meta-analytic models in R. Further, the multilevel meta-analytic models can be easily extended so that the potential moderating influence of variables can be examined.
Day of the Week Effect on Turkish Foreign Exchange Market Volatility During the Global Financial Crisis

Exchange rate activities have effects on capital flows and international trade that are crucial particularly for developing countries. The day of the week effect on exchange rates can also be very essential for portfolio managers and economists. Therefore, the day of the week effect should be examined carefully in order to understand the cause of the anomalies in the market. This paper evaluates the day of the week effect on the daily returns on US dollar and its volatility in the light of the global financial crisis 2008-2009.
Efficient radiative transfer calculation and sensor performance requirements for the aerosol retrieval by airborne imaging spectroscopy

Detailed aerosol measurements in time and space are crucial to address open questions in climate research. Earth observation is a key instrument for that matter but it is biased by large uncertainties. Using airborne imaging spectroscopy, such as ESA's upcoming airborne Earth observing instrument APEX, allows determining the widely used aerosol optical depth (AOD) with unprecedented accuracy thanks to its high spatial and spectral resolution, optimal calibration and high signal-to-noise ratios (SNR). This study was carried out within the overall aim of developing such a tropospheric aerosol retrieval algorithm. Basic and efficient radiative transfer equations were applied to determine the sensor performance requirement and a sensitivity analysis in context of the aerosol retrieval. The AOD retrieval sensitivity requirement was chosen according to the demands of atmospheric correction processes. Therefore, a novel parameterization of the diffuse path-radiance was developed to simulate the atmospheric and surface effects on the signal at the sensor level. It was found for typical remote sensing conditions and a surface albedo of less than 30% that a SNR of circa 300 is sufficient to meet the AOD retrieval sensitivity requirement at 550nm. A surface albedo around 50% requires much more SNR, which makes the AOD retrieval very difficult. The retrieval performance is further analyzed throughout the visual spectral range for a changing solar geometry and different aerosol characteristics. As expected, the blue spectral region above dark surfaces and high aerosol loadings will provide the most accurate retrieval results. In general, the AOD retrieval feasibility could be proven for the analyzed cases for APEX under realistic simulated conditions.
A Bayesian Theory of Cooperative Calibration and Synchronization in Sensor Networks

This paper proposes a method for calibrating networked sensors from local duplicated measurements in couples of sensors among them. In the Bayesian framework, we show the system and procedure for the optimum collaborative calibration/synchronization is composed by: 1) sensor-wise maintenance of the offset values and a corresponding column of inverse of the estimation error covariance matrix (confidence matrix), 2) incremental updates of the confidence matrix elements for the coupled sensors with the confidence of the duplicated measurement, and 3-1) centralized computation for inverting the confidence matrix into the estimation error covariance matrix and sensor-wise computation for obtaining updated estimates of the offset values, or 3-2) global iterative computation of the updated estimates among all the sensors.
Blind Multichannel Deconvolution with Cascaded Kalman Filters

Blind multichannel deconvolution is a demanding technology in modern signal processing field. The proposed algorithm is based on two cascaded Kalman filter. The first Kalman filter performs the blind identification of the multichannel impulse response using the cross-correlation condition; the second Kalman filter carries out the deconvolution process. The two Kalman filters are unified into a common iteration period, so the blind multichannel deconvolution is adaptively executed. Simulation shows that the proposed algorithm works well.1
Conglomerate Investment, Skewness, and the CEO Long Shot Bias

Do behavioral biases of executives matter for corporate investment decisions? Using segment-level capital allocation in multi-segment firms ("conglomerates") as a laboratory, we show that capital expenditure is increasing in the expected skewness of segment returns. Conglomerates invest more in high-skewness segments than matched standalone firms, and trade at a discount, which indicates overinvestment that is detrimental to shareholder wealth. Using geographical variation in gambling norms, we find that the skewness-investment relation is particularly pronounced when CEOs are likely to find long shots attractive. Our findings suggest that CEOs allocate capital with a long shot bias.
Do We Know Why Earnings Fall with Job Displacement

After being displaced from their jobs, workers experience reduced earnings for many years and are at greater risks of other problems as well. The ills suffered by displaced workers motivated several recent expansions of government programs, including the unemployment insurance system, and have spurred calls for wage insurance that would provide longer-run earnings replacement. However, while the average size and the individual characteristics associated with the losses are relatively clear, the theory of displacement-induced earnings loss is scattered. Much of the policy discussion appears to interpret displacement-induced losses through the lens of specific human capital theory, in which skills are specific to jobs, locations, industries, or occupations, and that model has considerable empirical support. Assistance for displaced workers may improve well-being in that model since it insures workers against the risk that their consumption of goods and services might fall for idiosyncratic reasons and, as a consequence, allows workers to make more productive but higher-risk career choices. But there are other credible theories of costly job displacement that have different causal mechanisms, different interpretations and different policy implications. This paper reviews theories of costly job displacement and discusses their consistency with the available empirical evidence. We find that while specific human capital is important, we cannot rule out important roles for other theories.
Integrated stratigraphy of the Oligocene pelagic sequence in the Umbria-Marche basin (northeastern Apennines, Italy): A potential Global Stratotype Section and Point (GSSP) for the Rupelian/Chattian boundary

The Oligocene represents an important time period from a wide range of perspectives and includes significant climatic and eustatic variations. The pelagic succession of the Umbria-Marche Apennines (central Italy) includes a complete and continuous sequence of marly limestones and marls, with volcaniclastic layers that enable us to construct an integrated stratigraphic framework for this time period. We present here a synthesis of detailed biostratigraphic, magnetostratigraphic, and chemostratigraphic studies, along with geochronologic results from several biotite-rich volcaniclastic layers, which provide the means for an accurate and precise radiometric calibration of the Oligocene time scale. From this study, the interpolated ages for the Rupelian/Chattian stage boundary, located in the upper half of Chron 10n at meter level 188 in the Monte Cagnero section, and corresponding to the O4/O5 planktonic foraminiferal zonal boundary, are 28.36 Ma (paleomagnetic interpolation), 28.27 ± 0.1 Ma (direct radioisotopic dating), and 27.99 Ma (astrochronological interpolation). These ages appear to be slightly younger than those reported in recent chronostratigraphic time scale compilations. The Monte Cagnero section is a potential candidate for defining the Chattian Global Stratotype Section and Point (GSSP) and some reliable criteria are here proposed for marking the Rupelian/Chattian boundary according to International Union of Geological Sciences (IUGS) recommendations.
A Novel Machine Vision System for Radish Crop Quality Monitoring based on Leaf Inspection

The crop of radish is very often infected by a disease that leaves spots of brown, gray or off-white colors on the radish leaves in winter. Scientifically, this disease is known as cercospora leaf spot or cercospora cruciferarum. It’s a kind of fungus that often kills young seedlings. The fungus spreads by air and can also infect radish plants when splashed onto leaves during a rainfall as the radish grows up down the soil as stem and leaves come out of the soil. Therefore, it is important to monitor the leaf at regular intervals so as to keep track on quality of growing radish crop. In the presented paper, a novel machine vision system has been proposed that visually inspects the leaves coming out of the soil and based on spots on leaves, it determines the nature of fungus and its depth into the radish stem. The size of the fungus, color depth and location and locus of the fungus on leaves gives an accurate determination of crop quality under the soil. In the presented thesis work, the image of the crop leaves are taken by a good quality color camera and processed for getting a gray colored and segmented image depending upon the nature and size of the fungus. A criterion is set for acceptable and rejects crop quality based on the fungus level.
EXPERIMENTAL INVESTIGATIONS WITH ECO-FRIENDLY REFRIGERANTS USING DESIGN OF EXPERIMENTS TECHNIQUE Mathematical Modeling and Experimental Validation

In this paper mathematical models were developed using design of experiments technique for the performance prediction of refrigeration system parameters such as refrigerating capacity, power consumption, and coefficient of performance. The models developed were checked for their adequacy using F-test. The perfor- mances of vapor compression refrigeration system with different refrigerants R12, R134a, and R290/R600a were compared. The R290/R600a mixture showed 10.7-23.6% higher coefficient of performance than that with R12 and R134a and it was found that the hydrocarbon mixture with 68% propane and 32% iso- butane could be used as a substitute for R12 and R134a.
Untangling Hope and Optimism: Implications for Counselors

Counseling Association by Dr. Garry R. Walz and Dr. Jeanne C. Bleuer of Counseling Outfitters, LLC. Its purpose is to provide a means of capturing the ideas, information and experiences generated by the annual ACA Conference and selected ACA Division Conferences. Papers on a program or practice that has been validated through research or experience may also be submitted. This digital collection of peer-reviewed articles is authored by counselors, for counselors. VISTAS Online contains the full text of over 500 proprietary counseling articles published from 2004 to present.
Nucleotide Sequence of Capsid Protein Gene of Bean yellow mosaic potyvirus in Bean Plants from Al-Makhwah Governorate, Saudi Arabia

The current study represents the first identification of Bean Yellow Mosaic Virus (BYMV) in bean plants (Phaseolus vulgaris) from Al-Makhwah Governorate, Saudi Arabia and nucleotide sequencing of capsid protein gene of BYMV. Thirty plant species and cultivars to twelve different families were mechanically inoculated by BYMV. Seventeen of them showed systemic symptoms mosaic, yellowing, vein clearing, stunting streaking mosaic, malformation and severe mosaic as a result of BYMV infection. Chenopodium amaranticolor and Chinopodium quinoa L. were found to be local lesion host after 4-6 days of inoculation. Two aphids, Myzus persicae Sluz. and Aphis faba were used to study the transmission of BYMV. Aphis faba was found to be the most effective vector with 60% of BYMV transmission. Immunological techniques namely Enzyme Linked Immuno Sorbent Assay (ELISA), Tissue Blot Immuno Binding Assay (TBIA) and Dot Blot Immune Binding Assay (DBIA) were amplified to study BYMV. Positive reaction was obtained and the prevalence of the virus in the flowers and seed parts was confirmed. The RT-PCR products were amplified from total RNA of bean plant tissues using specific primer BYMV1 and BYMV2 (designed on conserved sequences of BYMV NIb-CP). A cDNA fragment of 700 bp nuclear inclusion body and coat protein gene region primer (5'-NIb-CP 3') was amplified. Digoxigenin-labelled BYMV cDNA probe through Southern blot and Dot blot hybridization techniques were employed for the detection of BYMV infected bean plants. A strong positive reaction was observed with bean and faba bean infected with BYMV. A part of the 3' end of Nib-region and the 5' end of the CP region of BYMV Potyvirus Al-Makhwah KSA isolate (700 nt) was sequenced and analyzed (The DNA sequence submitted in GenBank acc.no. LC025531). Identity percentage of Al-Makhwah KSA isolate BYMV Potyvirus (NIb-CP) with a Japanese isolate was 99% and with USA gladiolus isolate and another Japanese isolate were 95% and 93%, respectively confirming that BYMV viral group is diversified mainly in some specific parts of genome, especially in the CP region, whereas NIb gene is very conservative.
Quality loss assessment in fish-based ready-to-eat foods during refrigerated storage

The present research addresses the quality loss in two different ready-to-eat (RTE) seafoods. With this aim, chemical and microbiological parameters were measured in tuna lasagne (TL) and hake roe foods which were refrigerated (4°C) for up to 35 and 71 days, respectively. Both foods showed a significant lipid oxidation (peroxide and interaction compound formation) development with storage time, which was especially marked in the case of the TL product, which also underwent an important lipid hydrolysis development. Both RTE products showed a low microbial development, no matter how much time had elapsed since the expiration dates; thus, low total viable count scores and volatile amine formation were attained while the presence of pathogen microorganisms was not detected. In view of the current increasing consumer demand for high quality refrigerated foods, the assessment of lipid damage related to nutritional and sensory values is recommended when fish-based RTE products are encountered.
Urbanization and Risk Preference in the People’s Republic of China: A Decomposition of the Self-Selection and Assimilation Effects

This paper argues that urbanization reshapes individual’s risk preference by exerting self-selection and assimilation effects. Taking advantage of the unique hukou system in the People’s Republic of China, we initiate a quasi-experiment method to elicit the two effects, employing the 2013-wave dataset of Chinese General Social Survey (CGSS). We find strong evidence supporting our two-effect theory and the magnitudes of both effects are sizable and near in scale. The assimilation effect reduces the migrant’s risk aversion measurement by 0.606 while the self-selection effect reduces it by 0.715, on average. Overall, urbanization improves migrants’ risk appetite, and mediated by this improvement, migrants are more likely to get engaged into the economic activities under uncertainty than their rural peers, as indicated by the evidence we have when applying the two-effect theory to investigate how households decide on risky financial asset investment.
Automatic Monitoring and Controlling of Weather Condition using Big Data Analytics

: Objective: To monitor and control the weather condition of the state, by scrutinizing each home's weather condition. Analysis: Data which is collected from the sensor is send to the spark analytical streaming for processing; home which is not under the control of normal temperature is update in graph, which is shown by using Thing span, control abnormal temperature by using HVAC system. Findings: In existing system weather condition is only monitored automatically and controlled manually, more energy consumption, whereas in proposed system, sensor receives data and stream data process using spark a, historical data process using Apache hadoop. Improvement: Advance big data analytics tool is used for processing data and automatically controls the weather condition by using HVAC system.