Miracle-dz/UniFAR-FTUs huggingface dataset:
GENETIC DETERMINISM OF THE GROWING RATE AND CARCASS QUALITY IN A PIG POPULATION

Studying the genetic parameters presents importance for choosing selection method, breeding system and the goal objective of selection. The study was carried out on a sample from LS 345-Periș pig population consist of 2759 offspring belonging to 80 of sire families. The studied sample consist of 1443 descendants from big white breed, belonging to 50 families of semi-sisters –semi-brothers with an average size of 28,9 SS-SF. There were analyzed the following seven characters: live weight at the age of 182 days, slaughter yield, fat thickness, muscle size, lean meat percentage corrected, average daily spore per life and average daily spore in meat. The growing and carcass traits have a genetic determinism intermediate towards intense. The heritability values range from 0,264 (back fat thickness) to 0,411 (percentage of muscle tissue). On the basis of phenotypic interand intrafamilial variance and covariance there were estimated the phenotypic, genotypic and environmental correlation coefficients between the seven characters. Of all correlations the genetic one interests more, therefore we have insisted on the values recorded by this one. Thus, the value of this correlation between live weight and the other ones, registered positive values of over 0, 6 except the following two characters were the values were negative: muscle size and lean meat percentage.
Development of ANN models for optimization of methane yield from floating dome digester

The development of methane generation is mainly based on a desirable combination of operating parameters. The essential objective of this analysis systematically analyzes the prediction of methane yield with different operating parameters. Current work is to analyse the reaction of Temperature (T), Agitation time (AT), pH, value and Substrate Loading Rate (SLR) which are all considered to be the different factors. Artificial Neural Network (ANN) is the modern method aid to solve complex issues that could not be addressed by conventional methods. In this work examine the study employ the ANN as a tool for prediction of methane from floating dome anaerobic digester with press mud. The result showed that ANN model is found the value of methane yields much closed to theoretical methane yield. It is obtained the percentage of predicted value of methane is 58% and theoretical value of methane is 62 % with the temperature of 45oC and agitation time of 20 min, pH value of 7.2 and substrate loading rate of 120 kg.
The Effect of Industrial Specialist Auditor and the Mechanism of Audit Committee on Earnings Management with Prudence as Moderating Variable

This study is conducted on companies in Indonesia during 2012-2015. This research is conducted to test whether manager performs earnings management to avoid negative earnings. This study also examines the effect of industrial specialist auditor and the mechanism of audit committee on earnings management, in addition to test the effect of prudence in strengthening the negative effect of the mechanism of audit committee on earnings management. This study provides empirical evidence that manager performs earnings management to avoid negative earnings by increasing production costs and minimizing the discretionary expenses. This study also provides empirical evidence that the industrial specialist auditor have negative effect on earnings management, while the mechanism of audit committee which consist of the size, the expertise, as well as the audit committee meeting has no effect on earnings management. This study provides empirical evidence that prudence strengthen the negative effect of the size and the expertise of audit committee on earnings management.
Public Debt, Distortionary Taxation, and Monetary Policy

Since Leeper's (1991, Journal of Monetary Economics 27, 129-147) seminal paper, an extensive literature has argued that if fiscal policy is passive, i.e., guarantees public debt stabilization irrespectively of the inflation path, monetary policy can independently be committed to inflation targeting. This can be pursued by following the Taylor principle, i.e., responding to upward perturbations in inflation with a more than one-for-one increase in the nominal interest rate. This paper analyzes an optimizing framework in which the government can only finance public expenditures by levying distortionary taxes. It is demonstrated that households' market participation constraints and Laffer-type effects can render passive fiscal policies unfeasible. For any given target inflation rate, there exists a threshold level of public debt beyond which monetary policy independence is no longer possible. In such circumstances, the dynamics of public debt can be controlled only by means of higher inflation tax revenues: inflation dynamics in line with the fiscal theory of the price level must take place in order for macroeconomic stability to be guaranteed. Otherwise, to preserve inflation control around the steady state by following the Taylor principle, monetary policy must target a higher inflation rate.
Image recognition of individual cow based on SIFT in Lαβ color space

Using image recognition technology to identify individual dairy cattle with her biological features shows strong stability. This kind of non-contact, high precision and low cost individual recognition methods based on image processing are more and more popular recently to replace the electronic tag and ear mark which can hurt the cattle’s psychology and physical health and can affect cattle’s behavior. By comparing the various color space transformations, he proposed a scale-invariant feature transform algorithm based on the Luminace of Lαβ color space. With this algorithm, a biological features recognition and management system of Holstein cow has been developed. The identification accuracy is higher than 98%, which is the best result than all the similar reports for cows’ identification.
The interaction of a vortex ring with a sloped sediment layer: Critical criteria for incipient grain motion

Experiments were performed to analyse the interaction between a vortex ring and a sloped sediment layer. Attention focussed on interactions under “critical” conditions, in which sediment motion was only just induced by the ring's flow field. Both hydraulically smooth and hydraulically rough bedforms were analysed, using near-spherical monodisperse sediments with relative densities of 1.2 and 2.5 and mean diameters (d p ) ranging between 80 and 1087 μm. Measurements of the vortex-ring flow field were obtained, during the interaction, using two-dimensional particle imaging velocimetry. The threshold conditions for incipient sediment motion were analysed in terms of the critical Shields parameter (N c ), defined in terms of the peak tangential velocitymeasured adjacent to the bed surface. Bed-slope effects were investigated by tilting the sediment layer at various angles between the horizontal and the repose limit for the sediment. In all cases, the propagation axis of the vortex ring was aligned normal to the bed surface. The measured values of N c were compared with a force-balance model based on the conditions for incipient grain motion on a sloping bed. For hydraulically smooth bedforms, where the bed roughness is small compared to the boundary-layer depth, the model was derived to account for how viscous stresses affect the drag and lift forces acting on the near surface sediment. For hydraulically rough bedforms, where this viscous-damping effect is not present, the model assumes the drag and lift forces scale with the square of the near-bed (inviscid) velocity scale. In both cases, the model predicts that bedforms become more mobile as the bed slope is increased. However, the damping effect of the viscous sublayer acts as a stabilizing influence for hydraulically smooth bedforms, to reduce the rate at which the bed mobility increases with bed slope. The measured values of N c were in agreement with the trends predicted by this model, and exhibit a transition in behaviour between the smooth-bed and rough-bed cases when d p /δ s ≈ 20 (where δ s is the viscous-sublayer length scale).
IDENTIFICATION & SEGMENTATION OF LAWN GRASS BASED ON COLOR & VISUAL TEXTURE CLASSIFIERS by ALEXANDER SCHEPELMANN

By ALEXANDER SCHEPELMANN CWRU Cutter is an autonomous lawnmower which can reflexively avoid obstacles. While LIDAR was previously used by the robot to determine obstacle locations, the sensor’s price makes its inclusion in commercial versions prohibitively expensive. Cameras can provide similar information at drastically reduced cost, but useful information must first be extracted from incoming images. This can be computationally expensive. Additionally, vision-based methods can be highly sensitive to changing lighting conditions. This thesis presents a method to identify grass based on color and visual texture classifiers for use in an outdoor environment. Neighborhood-based color measurements are calculated using the HSL color model and texture measurements are based on edge-detection and quantified via computationally inexpensive first and second order statistics. Individual measurements are then combined to create a binary representation of mowable terrain in an image. Performance is quantified by measuring recognition performance on a set of sample neighborhoods that contains common backyard obstacles.
A Survey Paper on Various Algorithm’s based Recommender System

Recommender systems have become extremely common in recent years. It helps the customer to discover information and settle on choices where they do not have the required learning to judge a specific item. It can be utilized as a part of different diverse approaches to encourage its customer with effective information sorting. It is a software tool and techniques that provide suggestion based on the customer's taste to discover new appropriate thing for them by filtering personalized information based on the user's preferences from a large volume of information. Users taste and preferences should be constructed accurately in order to provide most relevant suggestions. This survey paper compares and details the various type of recommender system and popular recommendation algorithms and its uses.
Impact of Firm Leverage to Performance: Evidence from Shariah and Non-Shariah Compliant Companies in Malaysia

This study are meant to investigates the impact firm leverage towards the performance of Shariah compliant listed companies with the non-compliant Shariah listed companies and to discover on their firm leverage practices from each other. A total 70 construction companies listed in Securities Commission Malaysia (SC) main board belonging to construction sector for Shariah and non-Shariah compliant listed companies are analyzed covering the period from 2008 until 2012. Using pooled ordinary least square (POLS) method and generalized least square (GLS) with random and fixed effects, the results clearly indicated that firm leverage’s choice between Shariah and non-Shariah compliant companies are totally difference. It shows that debt ratio does not give an impact towards Shariah compliant company’s performance based on return in asset (ROA) and return on equity (ROE) but short-term debt and long-term debt does give an impact to Shariah compliant company’s performance based on Marketto-book value (MTBV) with negative relationship. On the other hand, in Non-Shariah Compliance Company, inverse result shows when long-term debt and total debt does give an impact to Non-Shariah compliant company’s performance based on ROE. While, size also represent a positive relationship toward N0n-Shariah compliant company’s performance
Flower Constancy in the Generalist Pollinator Ceratina flavipes (Hymenoptera: Apidae): An Evaluation by Pollen Analysis

The food habits of the solitary bee Ceratina flavipes were studied by observation on foraging behavior and identifying the pollen grains that they collected. It appeared that C. flavipes tend to collect pollen from particular species; however, they visit multiple flowering species. We analyzed pollen sources from pollen loads of dried specimens from single foraging trips (SFT) and in pollen balls created from a single foraging day (SD). The pollen from all pollen balls in a nest represented the harvest from an entire breeding season (BP). This analysis showed that each bee on average collected pollen from 3.24 (SFTs), 2.02 (SD), and 3.12 (BP) flowering species. Bees collected pollen from a total of 14 flowering plant species. Furthermore, we calculated when pollen balls were created and found no significant interaction between seasonal pollen availability and bee preferences. Moreover, bees had consistent flower preferences, even if the preferred flower was not dominant at all times. These results indicate that C. flavipes exhibits flower constancy, and therefore, the generalist pollinator C. flavipes could function like a specialist pollinator.
Communficatfion A new record of Harlequfin Shrfimp ( Malacostraca : Decapoda : Palaemonfidae : Hymenocera pficta Dana , 1852 ) fin the southern Mexfican Pacfiffic Reefs

Threatened Taxa The Journal of Threatened Taxa fis dedficated to bufildfing evfidence for conservafion globaly by publfishfing peer-revfiewed arficles onlfine every month at a reasonably rapfid rate at www.threatenedtaxa. org. Al arficles publfished fin JoTT are regfistered under Creafive Commons Atrfibufion 4.0 Internafional Lficense unless otherwfise menfioned. JoTT alows unrestrficted use of arficles fin any medfium, reproducfion, and dfistrfibufion by provfidfing adequate credfit to the authors and the source of publficafion. OPEN ACCESS
A Citizen - Centric Integrated Information System Roadmap for Municipalities

The purpose of the study is to analyze e-government implementation and effectiveness at the municipal level in the vision of information system (IS) integration and to propose a roadmap for an integrated information system (IIS) for municipalities from the citizens’ perspective. Integration models proposed in the literature are reviewed and merged into a more comprehensive model. Based on the proposed model, integration process occurs under four domains: strategic, organizational, logical and physical. Related approaches of hierarchy, structure, direction and extent are analyzed and evaluated for each domain. Then, IS practices for seven different municipalities are examined and compared to each other so as to evaluate the current situation. At the final stage, a practical structural framework is developed and presented. As a result of the longitudinal interviews with Sariyer Municipality, the general framework and a roadmap for municipalities are put forward. While this roadmap can be extended further by other researchers, it can also act as a base for practitioners to develop integrated information systems (IIS) for citizen services offered local governments.
Accelerating Queries on Very Large Datasets

Author(s): Otoo, Ekow; Wu, Kesheng | Abstract: In this chapter, we explore ways to answer queries on large multi-dimensional data efficiently. Given a large dataset, a user often wants to access only a relatively small number of the records. Such a selection process is typically performed through an SQL query in a database management system (DBMS). In general, the most effective technique to accelerate the query answering process is indexing. For this reason, our primary emphasis is to review indexing techniques for large datasets. Since much of scientific data is not under the management of DBMS systems, our review includes many indexing techniques outside of DBMS systems as well. Among the known indexing methods, bitmap indexes are particularly well suited for answering such queries on large scientific data. Therefore, more details are given on the state of the art of bitmap indexing techniques. This chapter also briefly touches on some emerging data analysis systems that don't yet make use of indexes. We present some evidence that these systems could also benefit from the use of indexes.
Performance Related Emotional States in Sport: A Qualitative Analysis

In diesem Artikel gebe ich einen kurzen Uberblick uber das sportspezifische, individualbezogene Model "Individual Zones of Optimal Functioning" (IZOF), das hier als handlungsorientierter Rahmen fur die qualitative Analyse von leistungsbezogenen Gefuhlszustanden vorgestellt wird. Zuerst hebe ich die Multidimensionalitat im System der qualitativen Beschreibung von leistungsbezogenen Gefuhlszustanden hervor und differenziere diese Zustande in funf grundlegendende Bestandteile ("Pentabasis"): Form, Inhalt/Qualitat, Intensitat, Zeit und Kontext. Vier zentrale IZOF-basierte Vorhersagen von Gefuhl-Leistungs-Relationen beziehen sich auf: intersubjektive Variabilitat von optimaler Gefuhlsintensitat und optimalem Gefuhlsinhalt, die Innen/Ausen-Zone bezuglich der Vorhersage von sportlicher Leistung, die interaktive Wirkung von gefuhlssteigernder und -begrenzender Leistung sowie die Wechselseitigkeit der Gefuhls-Leistungs-Beziehung. Anschliesend beschreibe ich mehrere Projekte, bei denen verschiedene Datensammlungstechniken zur Erfassung idiosynkratischer Gefuhlsinhalte verwendet werden: Interviews, individualisiertes Gefuhlsprofil, metapherngenerierende Methoden und Erzahlungen. Zukunftige Forschung in Richtung auf das Individualbezogene und auf Diskursivitat wird vorgeschlagen und Verbindungen zwischen quantitativen und qualitativen Zugangen bei der Analyse leistungsbezogener Gefuhlszustande werden diskutiert. URN: urn:nbn:de:0114-fqs030151
Secure and Energy Efficient Routing in Wireless Multi-hop Clustered Networks Based on RSSI

Today is an era of technology and computing. This technological revolution has created a need for anything and everything to be connected to each other in order to achieve a better communication and utilisation of resources. An isolated computer becomes an information island and may not be able to achieve the optimum use of power and resources. To connect computer systems, there are two options available: one is the installation of LAN (local area networking) cables which may be cumbersome at first but it ensures security and the other one is wireless media. Wireless networking, apart from being simple and efficient, poses serious challenges of security breach by rogue nodes and compromise in performance due to dynamic nature of mobile nodes. Extensive research has been carried out so far and several algorithms and protocols have been formulated to incorporate the location and energy aware characteristics for routing. The technique proposed in this paper considers various factors like energy, distance, vulnerability and battery power while propagating the packet information between the nodes in a sensor networks implementing the heterogeneity in terms of nodes. The ultimate aim is to enhance the longevity of the sensor network while ensuring the security of the network. This is achieved by considering RSSI (Received Signal Strength Indicator) factor in accord with other factors in a multi-hop routing. Extensive simulation results and analysis demonstrate that the proposed technique outperforms other security mechanisms and protocols in the literature in terms of energy awareness, security and routing efficiency.
Effects of physical variables on settling velocities of calcium and strontium phosphates in mother solution

Settling velocity is an important parameter used in modeling solid-liquid flow operations and for evaluating tank volumes in water treatment technology. In the present study, series of bench-scale batch-wise precipitation and settling tests were performed to evaluate the effect of some physical variables such as precipitate concentration, temperature and stirring on settling velocity of tricalcium diphosphate (TCDP) and tristrontium diphosphate (TSDP) in mother solution. Various amounts of TCDP and TSDP precipitates were generated in reaction mixtures, by mixing sub-saturated equi-molar solutions (0.1M) of the respective ions in various metal to phosphate (M/P) volume ratios (10:90ml; 20:80ml; 30:70ml; 40:60ml; 50:50ml; 60:40ml; 70:30ml; 80:20ml; 90:10ml). Settling velocity diagrams of TCDP and TSDP were obtained as functions of M/P volume ratio, temperature, and repeat stirring. The results showed that whereas temperature and stirring variables had a linear relationship with precipitate settling velocity, a non-linear relationship was observed between the precipitate concentration variable and settling velocity. When the temperature of the mixtures were raised from 30oC to 50oC, 0.76- and 0.45- fold increases in settling rate were recorded for TCDP and TSDP, respectively. On the other hand, with repeated stirring of TSDP precipitate, 83% increase in settling velocity was recorded between the first and third stirrings. The results may be employed in settling tank designs for the removal of phosphates in water treatment process. Keywords : settling velocity, mother solution, batch-wise precipitation, temperature, amount of precipitates, Ca 3 (PO 4 ) 2 , Sr 3 (PO 4 ) 2 .
Information Theoretic Optimality of Orthogonal Space-Time Transmit Schemes and Concatenated Code Construction

|We demonstrate that the information theoretic capacity of multiple-transmit antenna systems is not reduced by using space-time orthogonal transmit schemes as means of exploiting the transmit diversity. Then, we consider concatenation of a channel code with space-time orthogonal transmit scheme, where data stream is rst encoded with the channel code, and then transmitted using orthogonal space-time transmit scheme. Using this orthogonal space time transmit scheme the elements in the product criterion for code construction are made more uniform and hence better gain is achieved. We derive code construction criterion for designing the channel code, taking into consideration coherence time of the channel. Keywords| Transmit diversity, space-time codes, coher-
Effect of bioethanol on the performance and emission of a biodiesel fueled compression ignition engine

In the present study investigates the effect of bio-ethanol on the performance and emissions of a biodiesel blend fueled compression ignition engine. The experiments are conducted using pongamia biodiesel blend B20 (20% pongamia biodiesel +80% diesel) with 5, 7.5 and 10% (v/v) of bio-ethanol on a four stroke single cylinder diesel engine. The tests are conducted at different load conditions. Performance and emissions characteristics are investigated for different bio-ethanol compositions. The results show that the brake thermal efficiency is maximum for B20E7.5 blend with a minimum brake specific fuel consumption. Carbon monoxide emission is minimum for B20E7.5 blend and NOx emission decreases as the bio-ethanol percentage is increased from 5 to 7.5%. The study reveals that 7.5% bio-ethanol with B20 pongamia biodiesel blend results better performance and emission characteristics.
Wind‐driven upwelling around grounded tabular icebergs

Temperature and salinity data collected around grounded tabular icebergs in Baffin Bay in 2011, 2012, and 2013 indicate wind-induced upwelling at certain locations around the icebergs. These data suggest that along one side of the iceberg, wind forcing leads to Ekman transport away from the iceberg, which causes upwelling of the cool saline water from below. The upwelling water mixes with the water above the thermocline, causing the mixed layer to become cooler and more saline. Along the opposite side of the iceberg, the surface Ekman transport moves towards the iceberg, which causes a sharpening of the thermocline as warm fresh water is trapped near the surface. This results in higher mixed layer temperatures and lower mixed layer salinities on this side of the iceberg. Based on these in situ measurements, we hypothesize that the asymmetries in water properties around the iceberg, caused by the opposing effects of upwelling and sharpening of the thermocline, lead to differential deterioration around the iceberg. Analysis of satellite imagery around iceberg PII-B-1 reveals differential decay around the iceberg, in agreement with this mechanism.