Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of different Levels of Probiotic and Limestone on Relative Weight of the Internal Organs, Digestive PH and Body Weight in Laying Hens

The experiment was to study the effect of different levels of probiotics (Bioplus - 2 B) and calcium carbonate on relative weight of the internal organs, , digestive pH and body weight in laying hens. This experiment was performed with 144 pieces of chicken strains HY - LINE (W 36) at the age of 58 to 68 weeks for 6 treatments 6 replicates (each replicate with 4 pieces of chicken) in the form of randomized complete block design with factorial treatment arrangement 3 x 2 consists of three physical form calcium carbonate( flour, granulated and a mixture of both) and two levels of probiotics (0, 0.04 percent) for 11 weeks (one week adaptation period). The interaction between probiotics and calcium carbonate and also the main effect of calcium carbonate had no significant effect on the digestive PH (P> 0/05). but the main effect of probiotic caused the significant of reduction in PH these parts especially the crop and gizzard(P 0/05). The relative weight of the digestive system including liver weight, ovarian weight , oviduct weight and body weight were not affected with main effect of calcium carbonate and probiotic and also interactions between the two (P> 0/05). The results showed that probiotics can reduce digestive PH and lead to reduced populations of pathogenic microorganisms and ultimately increase the solubility and absorption of some nutrients such as calcium and magnesium and have positive or negative effect on some internal organs of the chicken body means that cause increase or decrease in these organs.
Ensemble Similarity based Collaborative Filtering Feedback: A Recommender System Scenario

One significant aspect of any data mining associated task is the fundamental requirement of data for knowledge discovery. In most of the cases, the data are available for the desired task which produces recommendations for a user for a given set of items, where items could be movies, books, articles or products. The major issue is that most of the movies are not rated and are untagged. This makes it difficult to judge based on its content and views by community. Due to the insufficiency in data, recommender systems cannot produce recommendations of rare items. The objective of this paper is to improve the performance of recommender systems by making better recommendations using corresponding implicit data and ensemble of similarity metrics to achieve accurate predictions of the user ratings. This paper proposes using both explicit and implicit feedback as data sources for input in recommender systems along with an ensemble of similarity measures to get better and more useful recommendations.
On Weak and Strong Convergence Theorems of Modified SP-Iteration Scheme for Total Asymptotically Nonexpansive Mappings

In this paper, we study modified SP-iteration scheme for three total asymptotically nonexpansive mappings and also establish some weak and strong convergence theorems for mentioned mappings and scheme to converge to common fixed points in the framework of Banach spaces. Our results extend and generalize the previous works from the current existing literature.
Contributions to Logical Database Design

This paper treats the problems arising at the stage of logical database design. It comprises a synthesis of the most common inference models of functional dependencies, deals with the problems of building covers for sets of functional dependencies, makes a synthesizes of normal forms, presents trends regarding normalization algorithms and provides a temporal complexity of those. In addition, it presents a summary of the most known keysâ€™ search algorithms, deals with issues of analysis and testing of relational schemes. It also summarizes and compares the different features of recognition of acyclic database schemas.
Colouring the dimensions of relevance Conference or Workshop Item

In this article we introduce a visualisation technique for analysing relevance and interaction data. It allows the researcher to quickly detect emerging patterns in both interactions and relevance criteria usage. The concept of ”relevance criteria profile”, which provides a global view of user behaviour in judging the relevance of the retrieved information, is developed. We discuss by example, using data from a live search user study, how these tools support the data analysis.
Interactive comment on “Urban-rural interactions in a South Korean forest: uncertainties in isoprene-OH interactions limit understanding of ozone and secondary organic aerosols

I find interesting to test different oxidation mechanisms against the reported observations near Seoul, but I’m at a loss regarding the choice of the different scenarios. I understand that α is the OH yield in the reaction of isoprene peroxy radicals with HO2. The reference given for its adopted value (2.6), Wolfe et al. (2012), is not appropriate. Such high yield was proposed by Lelieveld et al. (2008) as an artificial OH recycling reaction introduced in order to match the GABRIEL campaign measurements. But there
Iron induced modifications in physiological attributes and SDS-PAGE of whole cell proteins pattern of Anabaena PCC 7120 and its derivative ntc A mutant

The influence of the various levels of iron (0-500 μM) on Anabaena sp. PCC 7120 and its derivative CSE2 mutant impaired in ntcA gene have been investigated to determine the requirement of specific concentration of iron for the regulation of photosynthetic pigments, cellular constituents, heterocyst spacing pattern, enzyme activities and SDS-PAGE of whole cell protein profiling. Iron at lower concentrations (≤50 μM) causes increase in chlorophyll a, carotenoid, phycocyanin, carbohydrate, protein, nitrogenase, nitrate reductase and glutamine synthetase activities in wild type as well as in mutant strain (except nitrogenase and nitrate reductase activities), while higher concentrations (>50 μM) were toxic and cause significant reductions in these physiological attributes. Nitrogenase and nitrate reductase activity were found absent in ntcA mutant. Further, 50 μM iron concentration also supported the maximum heterocyst frequency with changed heterocyst spacing pattern in wild type, whereas no visible sign of heterocyst development was observed in mutant strain. SDS-PAGE of whole cell protein revealed the occurrence of maximum number of bands at 50 μM iron concentration in both wild type and mutant strain. Results suggested that 50 μM of iron concentration was the specific concentration (critical concentration) that supported optimal physiological and biochemical activities in Anabaena 7120 and its mutant strain CSE2 (ntcA).
Effects of solar radiation on barnacle settlement, early post-settlement mortality and community development in the intertidal zone

We examined the role of solar radiation, and particularly the role of ultraviolet radiation (UVR), in regulating small-scale settlement patterns and early post-settlement mortality in the barna- cle Balanus glandula, as well as community development of sessile organisms colonizing the upper mid-intertidal zone. Settlement of B. glandula cyprids was similar in treatments with and without UVR, suggesting that UVR does not directly influence site selection by cyprids. Once attached, mor- tality during the 1 to 2 d period from attachment to metamorphosis ranged from 60 to 100%, and half of the settlers that did metamorphose died during the following 5 d. Mortality during the period from attachment to metamorphosis was significantly lower in locations protected from UVR than in loca- tions exposed to the full spectrum of solar radiation, but only by ca. 10%. Furthermore, UVR expo- sure had no detectable effect on the mortality rate of metamorphosed early juveniles. Ambient UVR levels also appear to have had little effect on the colonization of mid-intertidal habitats by sessile organisms: our study locations were colonized by 2 sessile invertebrate species and 2 algal species over a period of 2.5 mo in mid-summer, and densities of these species were similar in treatments with and without UVR. Nevertheless, solar radiation dose explained 43 to 65% of the variation in mortal- ity among daily cohorts of B. glandula, and daily cohort mortality was often 100% during periods with the highest doses. This relationship between solar radiation and survival to metamorphosis was likely due to the effect of solar radiation on desiccation and heat stress. The high sensitivity of early post- settlement mortality rates to solar radiation suggests global climate change may significantly alter patterns of survivorship through this critical stage of life.
Traceability in the Canadian Red Meat Sector: Do Consumers Care?

Increased traceability of food and food ingredients through the agri-food chain has featured in recent industry initiatives in the Canadian livestock sector and is an important facet of the new Canadian Agricultural Policy Framework (APF). While traceability is usually implicitly associated with ensuring food safety and delivering quality assurances, there has been very little economic analysis of the functions of traceability systems and the value that consumers place on traceability assurances. This paper examines the economic incentives for implementing traceability systems in the meat and livestock sector. Experimental auctions are used to assess the willingness to pay of Canadian consumers for a traceability assurance, a food safety assurance, and an on-farm production method assurance for beef and pork products. Results from these laboratory market experiments provide insights into the relative value for Canadian consumers of traceability and quality assurances. Traceability, in the absence of quality verification, is of limited value to individual consumers. Bundling traceability with quality assurances has the potential to deliver more value.
Improving a Parametric Model for Speech Quality Assessment in Wireless Communication Systems

Telecommunication operators need tools to evaluate and improve the quality of the their services offered. In the case of telephony services, the speech quality perceived by the users is relevant. There are different speech quality assessment methods, one of them is the parametric method that is generally used in network planning. The ITU-T Rec. G107, and its recent updates, is the most representative parametric method. However, it does not consider the impairments occurred in a wireless channel. In this context, we propose the inclusion of parameters, such as fading channel model, signal-to-noise ratio (SNR), and maximum Doppler shift using different modulation schemes. Several wireless communication scenarios were simulated using actual speech samples as input. Then, the impairment speech samples were evaluated by an intrusive signal-based method described in ITU-T Rec. P.862. 2, which results are used as ground-truth. Experimental results demonstrated that there is a high correlation between wireless channel parameters and mean opinion score (MOS) index. Thus, an impairment wireless function, namedIw is proposed and added to the E-model wide-band algorithm. Performance validation test results demonstrated thatIw represents a reliable wireless degradation model, reaching a Pearson correlation coefficient (PCC) and a normalized RMSE (NRMSE) of 0.973 and 0.085, respectively.
Atom, Fine structure ratio and the Universe

In modern cosmology, the shape of the universe is flat. In between the closed space and at space, there is one compromise. That is `Hubble volume'. Note that Hubble volume is only a theoretical and spherical expanding volume and is virtual. From Hubble volume one can estimate the Hubble mass. By coupling the Hubble mass with the Mach's principle, one can understand the origin of cosmic and atomic physical parameters. Considering the Mach's principle and the Hubble mass, in this paper an attempt is made to understand the origin of the strong and electromagnetic interactions.
Learning from Imbalanced and Hierarchically Dual-Labeled Data

The success of deep neural networks depends strongly on the availability of balanced and well-refined datasets, but in a real industry or practical cases, it is difficult to create such a dataset. In this paper, we present an approach to effectively use a highly imbalanced, hierarchically dual-labeled and multi-channel dataset: 1) using difference images, 2) transfer learning, 3) data argumentation and 4) DNN model based on an autoencoder which has the same number of bottleneck nodes as the number of classes. We evaluate our approach on the HDI AFVI dataset, containing ~65k 4 channel images, 37 classes, and dual-labeled for each 36 defective class. The result demonstrates the effectiveness of our proposed methods in realistic settings.
Comparing Slovenian year 8 and year 9 elementary school pupils’ knowledge of electrolyte chemistry and their intrinsic motivation

This study explored the differences between eight-year elementary school pupils (before the curriculum reform) and nine-year elementary school pupils (soon after the curriculum reform) in Slovenia, as regards specific chemistry knowledge and motivation to learn chemistry. Altogether, 191 elementary school pupils participated in the study. The results show that pupils of nine-year elementary school are not significantly better at chemistry knowledge test scores than eight-year elementary school pupils. Similar results were obtained when comparing intrinsic motivation. The results also show that those students who exhibit a higher level of intrinsic motivation to learn chemistry do not perform better at the test as a whole, but the correlation is low, although statistically significant, between motivation and pupils’ performance at solving selected problems presented in this paper. Results show that students develop different misconceptions of selected chemical concepts. Based on the results of this study, some guidelines for teachers are suggested.
Experimental harmonic analysis and distortion factor proposal for wind generation

In this paper, the impact on power quality of a wind farm located in south-east of Romania composed of 45 wind turbines is investigated. A field measuring campaign was carried out for a wind farm with a rated power up to 200 MW. Three phase harmonic voltages and harmonic currents, as well as power variations were recorded. The measurements are carried out in different points of the power system supplying the wind farm. The total current generator distortion index (TGDI) is introduced and discussed, as it better quantifies the correlation between generated power and harmonic electric quantities.
A Complex View of Industry 4.0

This article is focused on the importance and influence of Industry 4.0 and consequently the Internet-connected technologies for the creation of value added for organizations and society. The contribution of the article is mainly conceptual. With the development of the Internet, the Internet of things that is central to the new industrial revolution has led to “Industry 4.0. ” The aim of this article is to synthesize the known theory and practices of Industry 4.0, and to investigate the changes that will result from Industry 4.0 and with the development of the Internet of things.
Development of the Amyloid Fibril Characterisation Toolbox - New use for old dyes

Amyloid fibrils are self-assembled protein homopolymers that play central roles in the pathology of several human diseases, most notably in progressive neurodegenerative diseases such as Alzheimer’s disease (AD). In AD, fibrils are formed by the amyloid-β (Aβ) peptide, an enzymatic cleavage product that is naturally produced in human brain tissue. The fibrillar Aβ accumulates in deposits known as senile plaques in the diseased AD brain, and the processes by which this occurs are postulated to be primary causes of the neuronal loss that is associated with AD progression. As such, it is of great importance to understand how Aβ fibrils are formed, and why they exert neurotoxic effects in AD patients. In pursuit of this goal, there is a need for more effective and precise methods of analysing amyloid material. In this work, the aim was to improve the read outs of techniques that are currently used, and to develop novel methods for amyloid detection. The main focus has been on small molecules that work as light-switch molecules in presence of amyloids, i.e. they exhibit greatly enhanced fluorescence intensity upon binding to amyloid fibrils. I have characterised the classic amyloid stain thioflavin-T (ThT), and showed how it can differentiate between different amyloid samples based on their morphological attributes, particularly upon detection of its fluorescence lifetime. I have also characterised the binding and fluorescent properties of YOYO-1; a traditional DNA stain that proved to be an attractive alternative to ThT and that therefore may function as a novel amyloid stain, extending the amyloid recognition toolbox. The Thesis also outlines the development of an existing protocol for expression and purification of monomeric seed-free amyloid-β(1-42) that has been setup in our laboratory in order to facilitate reproducible investigation into the formation kinetics of Aβ(1-42) fibrils. This work is a stepping stone towards studies of amyloid-β formation kinetics and neurotoxicity. I intend to utilise the fluorescence techniques described herein, together with the developed protocol for Aβ production, to explore different stages of Aβ aggregation; how they exert their neurotoxic effects, and if these properties are modulated by lipid membranes and molecular crowding effects.
Impact of hedonic evaluation on consumers’ preferences for beef enriched with Omega 3: A Generalized Multinomial Logit Model approach

The impact of hedonic evaluation on consumers’ preferences towards beef attributes including its enrichment with polyunsaturated fatty acids (PFA) was evaluated. 647 Spanish consumers were divided into two groups differentiated by the information received. Consumers evaluated five beef attributes (origin, animal diet, amount of visible fat, meat colour and price) by conducting a choice experiment (CE) and using the recently developed Generelized Multinomial Logit (G-MNL). Subsequently, consumers conducted a blind tasting of four different beef samples and later informed about what they taste. Finally consumers repeated the CE. By estimating the G-MNL, it allows respondents to have different utility function scales that describe a different uncertainty levels with respect to the choices they make. In this case, hedonic evaluation of beef samples and information had a significant impact on consumer beef preferences, choices and scale parameters. Results show that giving consumers additional information, the average error scales decreased significantly.
A New Design of Dual Band Fractal Antenna for LEO Applications

In this paper, a new design of dual band printed antenna based on Minkowski fractal geometry has been presented. The antenna offers a very light weight, low profile, and very low coast, which satisfy the requirement o f Low Earth Orbit (LEO) applications. Some techniques have been used to qualify the printed antenna for space appli cations. Simulation results show the advantage of Minkowski fractal geometry in terms of multiband and bandwidth enhancement. The proposed antenna operates in S and L, Ultra High Frequency (UHF) band efficiently, and has a small size, so it is useful for small satellite communication applicatio ns.
Mastitis causative agents and SCC relationship with milk yield and composition in dairy cows

This study aimed to evaluate the effect of mastitis pathogens prevalence and somatic cells count (SCC) on dairy cow milk yield (MY) and composition. Milk samples of Holstein cows (n=1163) with 30.97±10.22 kg·d-1 of milk yield were collected and evaluated. Staphylococcus spp. was the most prevalent pathogen. In general, increased SCC decreased MY and lactose concentration and increased milk crude protein content. Coliforms had different SCC and milk crude protein concentrations relation. SCC and milk lactose content relationships were different for S. aureus and Streptococcus spp. Lactose and crude protein are the most sensitive milk components to SCC variation and this relationship is dependent on pathogen presence.
Spatio-Temporal Trends of Urban Heat Island and Surface Temperature in Izmir, Turkey

The distinct characteristics of urban and non-urban land cover usually results with a positive difference in surface temperatures and is referred to as the urban heat island (UHI) phenomenon. This paper assesses the spatio-temporal formation of UHI and land surface temperatures (LSTs) in Izmir, Turkey, situated in a Mediterranean climate region. LSTs were obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua and Terra over the period 2000 – 2015. UHI intensity was examined using the temperature differences between urban and non-urban areas and non-parametric Mann-Kendall (M-K) test to identify trends in LSTs and UHI intensity. The results indicate that day-time UHI is higher at Izmir with a seasonal variation. M-K test of LSTs shows increasing trends in nighttime temperatures for both urban and non-urban areas especially for winter and spring.
An Anisotropic Multi-plane Elastic-Damage Model with Axial and Shear Damage and Its Application to Concrete Behavior

The prediction of material response is necessary for the analysis of structure under static or dynamic loading. Mathematical modeling of the nonlinear tri-dimensional mechanical behavior of quasi-brittle materials like concrete caused by damaging and plasticity effects are one of the most serious classical challenges we face in the engineering science. Among phenomena of different orientation, the micro-plane models, like multi-planes models which use a constitutive equation in a vectorial form rather than tensorial form by means of capturing interactions, can serve this goal adequately. This paper presents a simple realistic and robust damage based model in the multi-planes framework accomplished with a few parameters for calibration and suitable for engineering purposes without volumetric-deviatoric split of strain tensor and its problems. This damage formulation has been built on the basis of two types of fundamental damage, axial damage and shear damage, that essentially can be occurred on each micro-plane and based on this concept two new axial and shear damage functions are presented. By comparing between the results of the proposed model and experimental data, model verification has been examined under different loading/unloading/reloading stress/strain paths.
Effective collision strengths for electron-impact excitation of nitrogen-like Mg VI

Eective collision strengths for electron- impact excitation of the N-sequence ion Mg vi are eval- uated in the close-coupling approximation using the mul- tichannel R-matrix method. Twelve LS target eigenstates are included in the expansion of the total wavefunction, consisting of the eight n = 2 states with congurations 2s 2 2p 3 ,2 s2p 4 and 2p 5 ,a nd the four n= 3 states with con- guration 2s 2 2p 2 3s. These 12 ionic states correspond to 23 ne-structure levels, leading to a total of 253 independent transitions. The eective collision strengths for all possible forbidden, semi-forbidden and allowed transitions are ob- tained by averaging the electron collision strengths, for a wide range of incident electron energies, over a Maxwellian distribution of velocities. Results are tabulated 1 for elec- tron temperatures, T , in the range log T (K) = 5.0 to logT (K) = 6.1, which are the temperatures of interest for many astrophysical applications. We conclude that the ef- fective collision strengths, for many of the forbidden lines considered, are signicantly enhanced by autoionizing res- onances converging to the target state thresholds in the collisional cross sections. The present calculations are the rst to include such resonance phenomena.