Miracle-dz/UniFAR-FTUs huggingface dataset:
Formulation of kinnow mandarin (Citrus Nobilis Lour x Citrus Deliciosa Tenora) waste and paddy straw based complete feed blocks and its utilization by goats

Study was conducted to formulate the paddy straw based complete feed blocks containing kinnow-mandarin waste (KMW) in a manual densification machine and to evaluate its effect on the nutrient intake and digestibility of goats. Block was formulated utilizing paddy straw, KMW, wheat flour, molasses, wheat bran, urea, mineral mixture, common salt and water. Bulk density of prepared blocks was 0.21 g/cm3 whereas durability was 17.36%. An in vivo feeding trial was conducted for 30 days duration along with a digestibility trial during last week of feeding trial. Twelve local adult male goats were randomly allotted as per randomized block design to two equal groups designated Control and Treatment. All the animals were kept on complete feed feeding regimen with either conventional concentrate mixture with paddy straw in 40:60 proportion or KMW-Paddy straw based feed block on ad libitum basis. Feed intake and nutrient digestibility was similar (P>0.05) in experimental animals, irrespective of the dietary treatment. The cost of feed for treatment group was about 12 per cent lower over the cost of conventional complete feed. It may be concluded that KMW may be utilized as a part of paddy straw based complete feed without affecting nutrient intake and digestibility. However, the binding and durability of blocks achieved in the present study was not satisfactory and this formulation therefore is not recommended to be densified in a manual block making machine.
Is India Ready for Flexible Inflation-Targeting?

In this paper we analyze whether the current macroeconomic environment in India is suitable for implementation of inflation targeting as a monetary policy strategy, in light of the recommendation of the Urjit Patel Committee Report. Our results indicate that historically the Reserve Bank of India has given more importance to inflation compared to output growth and exchange rate changes in its monetary policy conduct and that in recent times there has been an increased emphasis on monetary independence thereby comfortably placing the RBI on a path to move towards flexible inflation targeting. However we also find factors, which are traditionally outside the control of monetary policy do exert a strong impact on aggregate prices in India thereby making the choice of nominal anchor a tricky one. Furthermore, the success of monetary policy in containing inflation is found to be crucially contingent on an appropriate fiscal policy as well.
MtDNA diversity and genetic lineages of four cattle breeds in Malaysia

There is lack of comprehensive studies on the genetic diversity or phylogenetic analysis of beef cattle breeds in Malaysia. In this study, the partial sequence of mitochondrial DNA cytochrome b gene (cyt b) was analysed from blood samples obtained from 25 Chinese Yellow Cattle (CY), 33 Kedah-Kelantan (KK), 32 Brakmas (BM) and 30 Bali cattle (BC). Based on these 120 individuals, 19 mtDNA haplotypes (GenBank Accession No. GU67340 - GU67358) were identified by polymorphisms at 31 sites. Hap19 was predominant in BM (78%), KK (82%) and CY (100%) indicating similar origin or gene flow between breeds whilst Hap11 was exclusively for BC. However, there were only two nucleotide differences between these two major haplotypes. These results can be interpreted that these representative cattle in these haplotypes are admixtures of B. indicus or B. javanicus through maternal ancestry. Conversely, the CY cattle investigated are highly inbred where no variation could be observed in the short segment investigated.
A Gemini ground-based transmission spectrum of WASP-29b: a featureless spectrum from 515 to 720 nm

We report Gemini-South GMOS observations of the exoplanet system WASP-29 during primary transit as a test case for differential spectrophotometry. We use the multi-object spectrograph to observe the target star and a comparison star simultaneously to produce multiple light curves at varying wavelengths. The 'white' light curve and fifteen 'spectral' light curves are analysed to refine the system parameters and produce a transmission spectrum from 515 to 720nm. All light curves exhibit time-correlated noise, which we model using a variety of techniques. These include a simple noise rescaling, a Gaussian process model, and a wavelet based method. These methods all produce consistent results, although with different uncertainties. The precision of the transmission spectrum is improved by subtracting a common signal from all the spectral light curves, reaching a typical precision of ~1x10^-4 in transit depth. The transmission spectrum is free of spectral features, and given the non-detection of a pressure broadened Na feature, we can rule out the presence of a Na rich atmosphere free of clouds or hazes, although we cannot rule out a narrow Na core. This indicates that Na is not present in the atmosphere, and/or that clouds/hazes play a significant role in the atmosphere and mask the broad wings of the Na feature, although the former is a more likely explanation given WASP-29b's equilibrium temperature of ~970 K, at which Na can form various compounds. We also briefly discuss the use of Gaussian process and wavelet methods to account for time correlated noise in transit light curves.
CHEMICAL COMPOSITION AND RUMINAL DEGRADABILITY OF COWPEA AND SILVERLEAF DESMODIUM FORAGE LEGUMES HARVESTED AT DIFFERENT STAGES OF MATURITY [COMPOSICIÓN QUÍMICA Y DEGRADABILIDAD RUMINAL DE

The chemical composition and ruminal degradability of dry matter (DM) and nitrogen (N) of Cowpea and Silverleaf desmodium harvested at various stages of maturity was determined. In sacco degradability of protein and DM of the two legumes were determined using four mature Hereford x Nkone rumencannulated steers. The crude protein (CP), total ash, neutral detergent fibre (NDF), acid detergent fibre (ADF) and phosphorus contents of the Cowpea were influenced (P < 0.01) by interactions between the stage of maturity and plant part. The total ash content ranged from 72 g/kg DM in stems to 143 g/kg DM in the leaf. The CP and ash contents of the two legume samples were higher (P < 0.01) in the leaves than in the stems. The CP content of Silverleaf desmodium increased (P < 0.01) from pre-anthesis to post-anthesis. The NDF and ADF increased with maturity (P < 0.05). The DM effective digestibility (ED) values were not affected by the stage of maturity. All the N degradation rate constants for the two herbaceous legumes were not affected (P > 0.05) by stage of maturity. These legumes are high in protein, total ash and phosphorus. However, increasing maturity resulted in a depression in rumen DM and CP in sacco degradability in the forages.
Immunogenicity Induced by the Heptavalent Pneumococcal Conjugate Vaccineamong Thai Children at High Risk for Severe Pneumococcal Disease

Background: Streptococcus pneumoniae, an important pathogen worldwide, causes a wide range of diseases mostly in young children and older adults. The heptavalent pneumococcal conjugate vaccine (PCV7) that is composed of seven serotypes (4, 6B, 9V, 14, 18C, 19F, and 23F), was most prevalent in Thailand during this vaccination study. Aim: To determine immune responses to PCV7 among Thai children with high risk for invasive pneumococcal disease and whether children had specific antibody responses to related serotype 19A. Methods: The antibody-mediated opsonophagocytic killing assay (OPKA) was employed to detect the humoral immune response. One hundred and twenty-nine children (72 males and 57 females) were enrolled and divided into three groups according to age and vaccine dosages received: >12 months and received two vaccine doses, 7-12 months and received three vaccine doses, and 2-6 months and received four vaccine doses. These groups were then categorised into five groups based on disease: congenital heart disease, prematurity, chronic lung disease, haematological disease, and HIV. Serotype-specific antibody responses from children in all disease groups were comparatively analysed. Results: Low antibody responses to serotypes 9V and 23F, moderate responsive antibody titres to serotypes 4, 18C, 19A, and 19F, and high antibody responses to serotypes 6B and 14 were observed. Conclusion: These results suggest that children at high risk of invasive pneumococcal disease could develop functional antibody responses to some vaccine serotypes after PCV7 vaccination.
Mediterranean river biomonitoring in Central Italy: Diatom biodiversity and characterization of communities

In compliance with the European and Italian regulations, the Environmental Protection Agency of Umbria Region (ARPA Umbria) defined specific river monitoring programs and networks based on river type definition, human pressures and risk analysis. The Umbria Region lies in Central Italy and it can be split into three hydro-ecoregions belonging to the Mediterranean area. Data on diatom community composition were collected in five different Mediterranean macrotypes (M1-M5) throughout the diatom-based river monitoring network that is composed by 52 sampling stations in 36 watercourses. The main aim of this study was to characterise and to analyse diatom diversity across the different regional river macrotypes. Specifically, we investigated if: i) there were differences in species diversity (species richness and Shannon Index) among macrotypes; ii) there was difference in three water quality indexes (ICMi, IPS, and TI) among sites; and iii) there was a relationship between the observed ICMi, IPS and TI value and the diatom diversity. Two-hundred diatom species and varieties were identified, and the number of species per sampling station ranged from a minimum of 10 to a maximum of 38 species. The most frequent and abundant species were Amphora pediculus , Achnanthidium minutissimum, Navicula cryptotenella , Nitzschia dissipata , and each macrotype showed some peculiar species. The ecological status evaluation based on Intercalibration Common Metric Index (ICMi) classified 69% of the water bodies in high or good class. Significant differences in diversity and ICMi value among stream macrotypes were found, with M4 (small and medium mountain) and M5 (small, lowland, temporary) typologies showing the lowest species richness, and with M5 showing the lowest Shannon Index. Conversely, M2 (small and medium lowland) and M5 showed the highest ICMi value. Lastly, significant correlations between Shannon Index and the ICMi, IPS and TI indexes were found.
Accelerated Affine Scaling Algorithms for Linear Programming Problems

Interior point methods are widely used to solve linear programming problems. In this work, we present two accelerated primal affine scaling algorithms to achieve faster convergence for solving linear programming problems. For the first algorithm, we integrate nesterov's acceleration in the primal affine scaling method with an acceleration parameter $0 \leq \beta <1$, which in turn generalizes the original primal affine scaling method (no acceleration, $\beta =0$). We provide proof of convergence of the proposed algorithm considering long step size. We also prove the convergence of priaml-dual sequence without the degeneracy assumption given that $\alpha, \beta \in Q, \ Q = \{(\alpha, \beta) | \ 0 < \alpha < 1 ,\ 0 \leq \beta < \frac{1}{\phi}, \ \alpha +\beta \leq \frac{2}{3} \}$, where $\phi = 1.618. $ is the so called golden ratio. Then we introduce a second algorithm to further accelerate the convergence rate of the first variant by integrating a non-linear series transformation technique. Our numerical results show that the proposed algorithms outperform the original primal affine scaling method.
A Reliability Approach on Redesigning the Warehouses in Supply Chain with Uncertain Parameters via Integrated Monte Carlo Simulation and Tuned Artificial Neural Network

In this paper, a reliability approach on reconfiguration decisions in a supply chain network is studied based on coupling the simulation concepts and artificial neural network. In other words, due to the limited budget for warehouse relocation in a supply chain, the failure probability is assessed for determining the robust decision for future supply chain configuration. Traditional solving approaches can find the failure probability in problems with small scenarios and limited dimensions, while huge number of scenarios needs to be optimized by an efficient approach in terms of accuracy in obtained solution and improving the computational time simultaneously. Hence, the tuned artificial neural network (ANN) is applied to forecast the failure probability while network's parameters and available budget are stochastic. The results show that simulation of problem using ANN can work appropriately in selecting the configuration with considerable less time consumption and forecasting error.
Literature Review: Partially Denture Arches Main Classifications

Several classifications for the partially denture arches have been proposed since the begining of the past century; however they are still used to date. This literature review revealed an antithesis among authors due to various parameters involved in the attempt to include all the requirements of a classification. With regards to variations between mechanical and topographic aspects, the position of retainers remains rather confusing. In order to improve the understanding of such matter, an analysis of all aspects relating to the main classifications was carried out. It is clear that no single classification is complete for prosthetic diagnosis and treatment planning. The teaching of such classifications ought to be encouraged in dental schools as they can be a great ally in assessing difficulties in the initial stages of the prosthetic treatment, which optimizes the planning of removable partial dentures (RPD). Considering the information obtained, it is clear that a minimum of three classifications should be used concomitantly: a mechanic-functional, a topographic and a third including characteristics of stress distribution along the teeth and the residual muco-alveolar structures. The methods involved in the systems of classification are key elements for case planning and discussion as well as for research and development.
Respiratory costs of woody tissues in a Quercus pyrenaica coppice

Abstract: Long-term coppicing leads to the development of massive root systems. A disproportionate carbon investment in root maintenance has been pointed as a cause of the widespread decline of abandoned coppices. We aimed at assessing how coppicing has influenced root and shoot development and related carbon loss ascribed to maintenance of woody tissues in Quercus pyrenaica. For this goal, results from published studies on root dynamics, woody biomass and respired CO2 fluxes in an abandoned Q. pyrenaica coppice were integrated and extended to quantify overall respiratory expenditures of above- and below-ground woody organs. Internal and external CO2 fluxes together with soil CO2 efflux were monitored in eight stems from one clone across a growing season. Stems and roots were later harvested to quantify the functional biomass and scale up root and stem respiration (RR and RS, respectively) to the clone and stand levels. Below- and above-ground biomass was roughly equal. However, the root-to-shoot ratio of respiration (RR/RS) was generally below one. Relatively higher RS suggests enhanced metabolic activity aboveground during the growing season, and highlights an unexpected but substantial contribution of RS to respiratory carbon losses. Moreover, soil and stem CO2 efflux to the atmosphere in Q. pyrenaica fell in the upper range of reported rates for various forest stands distributed worldwide. We conclude that both RS and RR represent an important carbon sink in this Q. pyrenaica abandoned coppice. Comparatively high energetic costs in maintaining multiple stems per tree and centennial root systems might constrain aboveground performance and contribute to coppice stagnation.
COMPARATIVE STUDY OF THE WEAK-FORM COLLOCATION MESHLESS FORMULATION AND OTHER MESHLESS METHODS

Abstract. This paper is concerned with the numerical comparison of the weak-form collocation, a new local meshless method, and other meshless methods, for the solution of two-dimensional problems in linear elasticity. Four methods are compared, namely, the Generalized-Strain Mesh-free (GSMF) formulation, the Rigid-body Displacement Mesh-free (RBDMF) formulation, the Element-free Galerkin (EFG) and the Meshless Local Petrov-Galerkin Finite Volume Method (MLPG FVM). While the RBDMF, EFG and MLPG FVM rely on integration and quadrature process to obtain the stiffness matrix, the GSMF is completely integration free, working as a weighted-residual weak-form collocation. This weak-form collocation readily overcomes the well-known difﬁculties of the strong-form collocation, such as low accuracy and instability of the solution. A numerical example was analyzed with these methods, in order to assess the accuracy and the computational effort. The results obtained are in agreement with those of the available analytical solution. The numerical results show that the GSMF, when compared to the other methods, is superior not only regarding the computational efﬁciency, but also regarding the accuracy. Keywords: Local Meshless, Generalized-strain, Weak-form collocation, Local work theorem, Comparative study.
A Model of Translation of Politeness Based on Relevance Theory

Sperber and Wilson developed the Relevance Theory of communication. It did not take long before it was applied to translation. This dissertation attempts to illustrate the model of the translation of politeness. Translation is a cross-linguistic sociocultural practice, in which a text in one language is replaced by a text with equivalent relevance degree in another. The original contains three variables, which, once summed, give the weightiness of the face-threatening act and the choice of stimulus is decided.
The Importance of Informatization in Medical Education

Along with informatization, medical education faces with new challenges and opportunities. Education informatization in our country is now into a period of rapid development and gets achievement. Modern distance education network, computer platform of medical education research and education satellite network are established. Satellite broadband multimedia transmission platform has been initially formed. They are interactive based on modern distance interactive education network platform. The new concept of modern informationization and digital network has gradually replaced the traditional medical teaching practice, which is also the big trend of education development and informationization teaching in China.
Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats

Genomic selection (GS) is a method to estimate the breeding values of individuals by using markers throughout the genome. We evaluated the accuracies of GS using data from five traits on 446 oat (Avena sativa L.) lines genotyped with 1005 Diversity Array Technology (DArT) markers and two GS methods (ridge regression–best linear unbiased prediction [RR‐BLUP] and BayesCπ) under various training designs. Our objectives were to (i) determine accuracy under increasing marker density and training population size, (ii) assess accuracies when data is divided over time, and (iii) examine accuracy in the presence of population structure. Accuracy increased as the number of markers and training size become larger. Including older lines in the training population increased or maintained accuracy, indicating that older generations retained information useful for predicting validation populations. The presence of population structure affected accuracy: when training and validation subpopulations were closely related accuracy was greater than when they were distantly related, implying that linkage disequilibrium (LD) relationships changed across subpopulations. Across many scenarios involving large training populations, the accuracy of BayesCπ and RR‐BLUP did not differ. This empirical study provided evidence regarding the application of GS to hasten the delivery of cultivars through the use of inexpensive and abundant molecular markers available to the public sector.
Information separation in service supply chains at the bottom of the pyramid:an illustration through telemedicine

The bottom of the pyramid (BOP) consists of communities that reside in geographically remote areas and lack access to physical and technological infrastructure. Consequently, supply chains that distribute to and source from the BOP suffer from hindrances in information exchange between supply chain partners and are particularly vulnerable to information separation. The paper examines how service organizations operating at the BOP use ICT to reduce information separation in their supply chains. Noting the importance of and problems plaguing the delivery of healthcare services at the BOP, we use the healthcare services supply chain as the context for our study. We first draw from the literature on BOP supply chains and healthcare supply chains, to identify key information separation problems. We then develop, from secondary and published sources, a detailed case study on the BOP initiatives of one of the largest healthcare organizations in India. We analyze this case to reveal (1) particular ICT applied to healthcare supply chains at the BOP, (2) how these ICT reduce information separation in healthcare supply chains, and (3) developmental outcomes of information separation reduction. The study contributes to the emergent literature that addresses developmental impacts of ICT at the BOP. It provides, for practice and policy, key issues that private and public service providers must consider in order to build effective supply chain processes and delivery mechanisms at the BOP.
An evaluation of an intervention to change first–year psychology students’ theory of intelligence

Some people hold an entity theory of intelligence: they think of intelligence as innate. In contrast, others hold an incremental theory, believing that intelligence can be changed. Previous research has shown that an incremental theory is associated with positive outcomes. The aim of this paper was to evaluate an intervention which promoted an incremental view of intelligence in first–year university students. Thirty–five students were shown a presentation which discussed research promoting an incremental view of intelligence (intervention group). Forty–four students were shown a presentation which discussed research on memory (control group). Participants completed measures of theory of intelligence, goa s and behavioural intentions before and after the presentation. Results suggested that the intervention had been successful in promoting an incremental view of intelligence and thus positive learning behaviours. Interventions such as this may therefore have a positive impact on student success at university.
ESG Impact on Market Performance of Firms: International Evidence

This study investigates how news-based scores in ESG (Environmental, Social, and corporate Governance) may have influenced the monthly stocks’ market return in Switzerland, the US, and the UK during the 2007–2011 period. We find that the variation of the overall ESG score is only significant in the UK. We also show that the changes in sub-category ratings of GRI (namely, governance, economic, environment, labor, human rights, society, and products) exhibit a small but significant impact on the stock’s performance during limited periods or on limited sectors, which varies among the countries. Finally, our non-parametric kernel regression highlights that the function linking a stock’s performance to its ESG-score changes is probably non-linear.