Miracle-dz/UniFAR-FTUs huggingface dataset:
Progress in DNA marker studies of beef carcass composition and meat quality in New Zealand and Australia.

Two beef cattle DNA-marker trials in New Zealand and Australia are reviewed, where the trial objectives were to identify DNA markers for carcass composition and meat quality traits. The collaborative beef cattle project between AgResearch and Adelaide University is described in detail, and reference is also made to published data from the Australian ‘Cooperative Research Centre (CRC) for Meat Quality’ DNA-marker study. In the Beef CRC, F1 Charolais x Brahman bulls were mated to composite dams to breed experimental offspring. The AgResearch/ Adelaide study used two extreme breeds, Jersey and Limousin, with F1 Jersey x Limousin bulls mated to produce both backcrosses in both New Zealand and Australia. Detailed information is presented here from New Zealand only (416 animals), comprising firstly live-animal records including ultrasound fatand muscle-depth data, metabolites from fat and muscle biopsies, and plasma cortisol at slaughter, secondly carcass dissection data and organ weights, and thirdly shear-force tenderness, pH measures and some detailed biochemistry from the right striploin. A whole-genome scan was carried out with an average of 185 informative microsatellite markers per sire (range 170-196), spread widely across the autosomes. Quantitative trait loci (QTL) were identified for 14 phenotypes (with a genome-wide threshold level of significance), from the New Zealand half of the data analysed, including composition traits (ultrasound, carcass and eye-muscle data), dressing %, bone weight, fat weight, meat tenderness, millicalpain, polled/horned status, and plasma cortisol. Corresponding data from the Beef CRC, which (from their interim publication) had detected 18 QTL for 54 carcass and meat quality traits (some markers above a significant lod-score threshold of 2.5), included birth weight, carcass weight and dressing %, saleable meat yield (kg), eye muscle area, marbling score, tenderness, rumpfat depth and fat colour. The sizes of significant effects for each New Zealand phenotype ranged from 2.0 to 31% of the respective trait means, and the Beef CRC effects ranged from 3.0 to 33%, although in both studies most traits (except for fat traits) were in the 3 to 10% range. Further opportunities for exploiting the results in the beef industry are discussed.
A Review on Bin Packing Algorithm for Resource Auto Scaling

—One of the main features of cloud computing is automatic scalability of resource usage. There are web applications in which their usage changes from time to time. Application demand satisfaction depends on the underlying server capacity and the count of the application instances that are currently running on the servers. When the application demand is more, resource availability also needs to be increased to ensure requests satisfaction. Over provisioning of resources to handle peak load may cause some resources to lie idle during low demand. Automatic scaling of resources ensures better customer satisfaction during peak usage time by allocating more resources and scales down the resources when not needed. The scaling up and down of resource demands can be considered as item arrival and departure in bin packing algorithm. In this paper we are reviewing a few optimized versions of original bin packing problem. We have performed a comparison on the advantages and limitations of these bin packing problems when they are used for auto scaling of resources in cloud computing.
Stratification structure of urban habitats

This paper explores the community structure of a network of significant locations in cities as observed from location-based social network data. We present the findings of this analysis at multiple spatial scales. While there is previously observed distinct spatial structure at inter-city level, in a form of catchment areas and functional regions, the exploration of in-city scales provides novel insights. We present the evidence that particular areas in cities stratify into distinct “habitats” of frequently visited locations, featuring both spatially overlapping and disjoint regions. We then quantify this stratification with normalized mutual information which shows different stratification levels for different cities. Our findings have important implications for advancing models of human mobility, studying social exclusion and segregation processes in cities, and are also of interest for geomarketing analysts developing fidelity schemes and promotional programmes.
DC-DC booster with cascaded connected multilevel voltage multiplier applied to transformer less converter for high power applications

This paper proposes a high step-up dc-dc converter having a multiplier stage based on the Cockcroft-Walton (CW) voltage multiplier without a step-up transformer, which provides continuous input current with low ripple and high voltage ratio. For a given input voltage, a different output voltage boost up with different gain can be generated with the components of same specifications. Since the five level converter circuits uses five multiplier, more gain can be achieved. The proposed converter can provide a suitable dc source for any level multilevel inverter. In this paper, the control strategy employs two independent frequencies, one at high frequency, thereby minimize the size of the inductor and the other one at low frequency for a reduced output voltage ripple.
An Interpretable (Conversational) VQA model using Attention based Weighted Contextual Features

Visual question answering (VQA) is a challenging task which is required a deep understanding of language and images. Currently, most of the algorithms focus on finding the correlation between the basic question embeddings and image features by using element-wise product or bilinear pooling between these two vectors. In this paper, a deeper analysis of these features by further extracting their contextual information (without using external features) is given. A novel interpretable attention-based weighted contextual feature model is proposed for VQA task by assigning adaptive weights to their contextual features and themselves based on the importance. Due to the model’s interpretablity, we also show in our paper that how this model can be applied in tasks like Conversational VQA by asking user interpretable questions to explain ambiguity.
Influence of drying methods on the functional properties of dietary fiber

Citrus by-products are an important potential high source of valuable compounds such as dietary fiber. In this study, dietary fiber was obtained from citrus by-products by water bath extraction. The drying behavior of th e citrus by-product samples was investigated under hot-air d rying and vacuum drying. The drying experiments wer e conducted at drying air temperatures of 50, 60, and 70 °C. The drying curves obtained using experiment al data were fitted to 10 models reported in literature. Th e comparison of the correlation coefficient (R ) and reduced chi-square ( χ) values of the 10 models shows that the Logarithmi c model exhibited the best fitting for hot-air dryi ng, whereas the Wang and Singh model exhibited the best pr diction of moisture transfer in vacuum drying. The changes in color and functional properties of the t wo types of dried dietary fiber were also analyzed an regarded as quality indices that affect the drying quality o f the product.
Analysing the Impact of Legal Change Through Case Classification

In this paper an automated sol(cid:2)(cid:3)(cid:4)(cid:5)(cid:6)(cid:7)(cid:8)(cid:5)(cid:9)(cid:7)(cid:10)(cid:6)(cid:11)(cid:4)(cid:6)(cid:12)(cid:7)cases for analysing the impact of legal change is proposed and the results are analysed with the help of a legal expert. It focuses on the automatic (cid:13)(cid:14)(cid:15)(cid:16)(cid:16)(cid:4)(cid:10)(cid:13)(cid:15)(cid:3)(cid:4)(cid:5)(cid:6)(cid:7)(cid:5)(cid:8)(cid:7)(cid:17)(cid:18)(cid:19)(cid:20)(cid:20)(cid:20)(cid:7)(cid:21)(cid:2)(cid:11)(cid:12)(cid:22)(cid:23)(cid:6)(cid:3)(cid:16)(cid:7)(cid:24)(cid:4)(cid:3)(cid:25)(cid:4)(cid:6)(cid:7) civil law. We investigated to what extent several machine learning algorithms were able to classify cases ‘correctly’. This was done with accuracies around (cid:20)(cid:26)(cid:27)(cid:18). However, the data were scarce and the initial labelling not perfect, so further research should focus on these aspects to improve the analysis of the impact of legal change.
Forecast sensitivity to observations ( FSO ) as a diagnostic tool : monitoring the impact of observations on the short range forecast

This paper describes the use of forecast sensitivity to observations as a diagnostic tool to monitor the observation impact on the quality of the short range forecasts (typically 24 hour). The forecast error is provided by a control experiment (using all observations available) which has been run among two series of observing system experiments performed at ECMWF. The observation data impact obtained with the forecast sensitivity is then compared with the observation data impact as classically measured in the context of observing system experiments. Overall, the assimilated observations decrease the forecast error. However, locally some poor performances are detected that are related either to the data quality or biases in the model.
A Novel Error Performance Analysis Methodology for OFDM with Index Modulation

Orthogonal frequency-division multiplexing with index modulation (OFDM-IM) has become a high-profile candidate for the modulation scheme in next generation networks, and a large number of works have been published to analyze it in recent years. Error performance is one of the most important and interesting aspects of OFDM-IM, which has been analyzed in most works. However, most of them employ two key approximations to derive the closed-form expressions of block error rate (BLER) and/or average bit error rate (BER). The first one is to utilize the union bound assisted by the pairwise error probability (PEP) analysis, and the second one is to employ an exponential approximation of Q-function. In this letter, we apply Craig’s formula to analyze the error performance for OFDM-IM in place of the exponential approximation. Because Craig’s formula is the exact expression of Q-function, the accuracy of analytical results regarding error performance for OFDM-IM can be improved. We examine the proposed error performance analysis methodology based on Craig’s formula by investigating both average BLER and BER.
Expansion of Rubber Tree Plantation in Northern Laos : Economic and Environmental Consequences

Rubber trees have been planted in the Northern Province of Laos since the mid-1990s, with tapping beginning in early 2000s. Consequently, livelihoods in the upland of northern Laos have rapidly moved away from subsistence shifting cultivation to rubber tree plantations. As a result, the total area of rubber tree plantations in Laos has drastically increased from 342 ha in the early 1990s to more than 25,000 ha in 2009. This paper reviews the factors that accelerated that rapid expansion of rubber tree plantation in northern Laos and its economic and environmental consequences and identifies key issues for future studies. The Land and Forest Allocation (LFA) program played a direct role in shaping the rubber landscape in northern Laos, but increased demand for natural rubber from China in response to stagnation of Chinese domestic supply was the most important factor behind the rapid expansion of rubber tree plantations in Northern Laos. Therefore, under current and likely future market conditions, investment in smallholder rubber production in Northern Laos appears financially profitable. However, this study found that the economic gains from rubber tree plantations came with losses in food production, soil quality degradation, and deforestation. Therefore, it is necessary to thoroughly analyze the behaviors of smallholder rubber production in Northern Laos to understand their labor allocation decisions for different livelihood activities, including forest extractions along the tract, to achieve the goal of promoting rubber tree plantations as a key strategy to alleviate poverty and as an instrument to eliminate shifting cultivation to conserve natural forests.
– Environment at a Crossroads : SMART approaches for a sustainable future Assessing public perception on protected areas in Iron Gates Natural

Iron Gates Natural Park, situated in the south-western part of Romania is protected for its remarkable landscape, high biological diversity and unique habitats. The paper assesse the public perception on protected areas in Iron Gates Natural Park and explore perceptions of local residents and local authorities’ attitudes towards protected areas and conservation activities. Most respondents held a positive attitude towards protected areas and the analysis of their attitudes and perceptions revealed potential conflicts that might affect biodiversity conservation and protected area management. The main problems are the limited knowledge and a poor communication with authorities which implies a lack of local participation in conservation activities. Based on our studies, some recommendations are given for improvement of Iron Gates Natural Park management due to the importance of the local community involvement in conservation activities. © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the organizing committee of ECOSMART 2015.
Facebook Tools and Digital Learning Achievements in Higher Education

During recent years there has been a significant increase in the usage of technological tools in general, and in academic teaching in particular. Many programs have been developed, including online teaching and online courses at educational institutions. In this paper, we discuss the Facebook social network and its use at the University. The research shows that Facebook groups are used to facilitate communication between students, to foster a positive social climate, to create dialogue and to share learning material among group members. The paper examines students’ achievements and their satisfaction with the impact of the Facebook group on the academic course, in order to examine whether the use of Facebook groups in academic courses can improve course quality and students’ achievements.
A MOBILE ROBOT NAVIGATION SYSTEM USING A MAP-BUILDING BASED APPROACH

This paper addresses a goal based navigation system relies on a map-building approach and employs a depth camera as the primary sensor. A Kinect camera, using an appearance based approach, is employed to search and detect the goal while building a map of the environment. As well as, a simple but efficient searching behavior is developed so as to reduce overall searching time for the goals placed in unknown and particularly cluttered environments. The system is integrated into a physical robot and a series of experiments were achieved to verify the overall performance of the system.
Unrewarded careers in the creative class: The strange case of bohemian graduates

In recent years, the role of human capital in economic development has been integrated with the concept of 'creative class'. To investigate the impact of creative occupations, the paper focuses on the jobs and career opportunities of individuals with high human capital in the creative disciplines (bohemian graduates). Using micro-individual student data by the Higher Education Statistical Agency, we highlight the mismatch between bohemian graduates and creative occupations and their low economic reward. The data question the role of bohemian graduates as agents of knowledge spillovers and highlight the need to differentiate between different type of human capital and job markets to better understand their influence on local growth. Copyright (c) 2010 the author(s). Journal compilation (c) 2010 RSAI.
Long non-coding RNA BACE 1-AS is a novel target for anisomycin-mediated suppression of ovarian cancer stem cell proliferation and invasion

Human ovarian cancer stem cells (OCSCs) are one of the main factors affecting ovarian cancer cell metastasis, recurrence, prognosis and tolerance to chemotherapy drugs. However, the mechanisms of OCSC proliferation and invasion are not clear. Recent studies suggest that anisomycin can inhibit the proliferative and invasive ability of various tumor cells by increasing the production of the toxic amyloid β (Aβ1-42) peptides from the amyloid precursor protein (APP). We explored whether anisomycin could also suppress human OCSC proliferation and invasion. The CD44+/CD117+ OCSCs were enriched from human clinical ovarian tumor tissues. OCSCs treated with anisomycin showed reduced proliferation compared to controls. Moreover, anisomycin significantly suppressed the invasive capacity of OCSCs in vitro, as indicated by cell migration assays. The mRNA expression levels of long non-coding RNA (lncRNA) β-site APP cleaving enzyme 1 antisense strand (BACE1-AS) were significantly increased in anisomycin-treated OCSCs compared to controls. In addition, mRNA and protein levels of BACE1 and Aβ1-42 were increased in anisomycin-treated OCSCs compared to controls. We confirmed that anisomycin suppressed the growth of xenograft tumors formed by OCSCs in vivo. Finally, when expression of lncRNA BACE1-AS was silenced using siRNA, BACE1 expression was downregulated and the antiproliferative and anti-invasive effects of anisomycin were reduced. Overall, we identified lncRNA BACE1-AS as a novel target for anisomycin. Elevation of lncRNA BACE1-AS expression is a potential mechanism for suppressing human OCSC proliferation and invasion.
FRACTIONAL ORDER OPTIMAL CONTROL PROBLEMS VIA THE OPERATIONAL MATRICES OF BERNSTEIN POLYNOMIALS

In this paper a numerical method for solving a class of fractional optimal control problems is presented which is based on Bernstein polynomials approximation. Operational matrices of integration, differentiation, dual and product are introduced and are utilized to reduce the problem of solving a system of algebraic equations. The method in general is easy to implement and yields good results. Illustrative examples are included to demonstrate the validity and applicability of the new technique.
Predicting the effects of climate change on bluefin tuna (Thunnus thynnus) spawning habitat in the Gulf of Mexico

Muhling, B. A. , Lee, S-K. , Lamkin, J. T. , and Liu, Y. 2011. Predicting the effects of climate change on bluefin tuna (Thunnus thynnus) spawning habitat in the Gulf of Mexico. – ICES Journal of Marine Science, 68: 1051–1062.Atlantic bluefin tuna (BFT) is a highly migratory species that feeds in cold waters in the North Atlantic, but migrates to tropical seas to spawn. Global climate-model simulations forced by future greenhouse warming project that upper-ocean temperatures in the main western Atlantic spawning ground, the Gulf of Mexico (GOM), will increase substantially, potentially altering the temporal and spatial extent of BFT spawning activity. In this study, an ensemble of 20 climate model simulations used in the Intergovernmental Panel for Climate Change fourth Assessment Report (IPCC-AR4) predicted mean temperature changes within the GOM under scenario A1B through to 2100. Associations between adult and larval BFT in the GOM and sea temperatures were defined using 20th century observations, and potential effects of warming on the suitability of the GOM as a spawning ground were quantified. Areas in the GOM with high probabilities of larval occurrence decreased in late spring by 39–61% by 2050 and 93–96% by the end of the 21st century. Conversely, early spring may become more suitable for spawning. BFT are therefore likely to be vulnerable to climate change, and there is potential for significant impacts on spawning and migration behaviours.
Risks of dam construction for South American river dolphins: a case study of the Tapajós River

River dolphins are strongly affected by the construction of hydroelectric dams. Poten- tial isolation in subpopulations above and below such dams and the resulting low genetic variability of these subpopulations can cause extinction at a local level. Here we aimed to estimate density and population size of South American river dolphins (boto Inia geoffrensis and tucuxi Sotalia fluviatilis), map their distribution, and estimate potential biological removal (PBR) limits in order to evaluate the effects of population fragmentation between planned dams in the Tapajos River, Amazonian basin, Brazil. Boat-based surveys were conducted following a line transect sampling protocol covering dif- ferent dolphin habitats in 2 stretches of the river divided by rapids. The mark−recapture distance sampling method was applied to account for animals missed on the trackline. After the estimation of population sizes by habitat, PBR was calculated. The farthest upriver sighting of tucuxis was close to the Sao Luiz do Tapajos rapids, whereas the farthest upriver sighting of botos was upstream of the rapids, suggesting that botos move upstream through the rapids. Estimated abundance of tucuxis (3372 ind., CV = 0.38) was twice as high as that estimated for botos (1815 ind., CV = 0.4). The PBR ranged from 11 to 18 ind. for boto and 21 to 34 for tucuxi. Throughout this study, we identified low abundances of river dolphins compared to other Amazon rivers. Boto may not be sustainable at a population level, due primarily to population fragmentation which would result from the construc- tion of the proposed dams. Precautionary measures are urgently needed before construction of dams begins in the Tapajos River.
The Usefulness of Deffered Tax Expense in Detecting Earnings Management

The aim of this research is to examine the usefulness of deferred tax expense as compared to various accrual measures employed in prior research in detecting earnings management in two settings where earnings management likely occurs: to avoid loss and to avoid earnings decline. Manufacturing companies are listed at Indonesia Stock Exchange as sample in period 2010-2012 by purposive method. Our results provide evidence that deferred tax expense, total accruals, and discretionary accrual of the Jones Model have no significant influence to detecting earnings management to avoid loss. Deferred tax expense has no incrementally useful beyond accruals measures with regard to detecting earnings management to avoid loss. The result of the second setting empirically show that deferred tax expense has no significant influence to detecting earnings management to avoid earnings decline. Meanwhile, the total accrual and discretionary accruals of Jones Model have significant influence to detecting earnings management to avoid earnings decline.
Therapeutic analysis of organic acids on experimental dermatophytosis in guinea pigs

The purpose of this study was to determine the therapeutic efficacy of citric and tartaric acids on experimental dermatophytosis in guinea pigs. In this study, the susceptibility of Trichophyton mentagrophytes var. mentagrophytes to citric and tartaric acids was assessed using the macrodilution broth method. In the animal experiments, a cream consisting of the mixed acids was topically applied once per day for ten consecutive days, beginning five days following infection. Animals in a positive control group were treated with 1% clotrimazole cream. The results of this study showed that application of the mixed acid cream led to a significant improvement in guinea pigs suffering from dermatophytosis (P < 0.05). A similar improvement in local symptoms was achieved in the animals treated with 1% clotrimazole cream. These results indicate that organic acids such as citric and tartaric acids can potentially act as topical antifungal agents and may represent a valuable new approach in dermatophytosis.