Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparison of Effects of Dietary Glycerol versus Corn Grain on Milk Composition in Dairy Cows

A COMPARISON OF EFFECTS OF DIETARY GLCEROL VERSUS CORN GRAIN ON MILK COMPOSITION IN DAIRY COWS Diane L. Bajramaj Advisor: University of Guelph, 2014 Professor John P. Cant The effects of glycerol on milk protein yield were investigated in this study. Twelve multiparous lactating dairy cows were assigned to diets in a repeated 3 x 3 Latin square design. The diets were a 70%-forage basal diet, the basal diet with ground and high-moisture corn replacing forages, and the basal diet with refined glycerol. The diets were fed for 28-day periods and milk, feed and blood samples were collected. Dry matter intake and milk production were stimulated on the treatment diets. Milk protein yields were stimulated by corn and further stimulated by glycerol. With the exception of BCAA, which were significantly depressed in response to the glycerol treatment, plasma concentrations of NEAA and EAA were not affected by dietary treatments. There was evidence that glycerol stimulated milk protein yield to a greater extent than corn, which was supported by the drop in BCAA on the glycerol diet.
Identification of new natural fibre from Chamaecostus Cuspidatus

Fibre identifi cation is a very important element to textile industries, design houses and fashion. The technological changes need to improve the identifi cation methods. In spite of the increase of new technology, the old methods are often the best. The increase in awareness of the damage caused by synthetic materials on the environment led to develop eco-friendly fi bres. This paper covers the distinguishing features of natural textile fi bre from the plant “Chamaecostus Cuspidatus” that had been extracted using water retting method.
TOTAL VERTEX IRREGULARITY STRENGTH OF INTERVAL GRAPHS

A labeling of a graph is a mapping that maps some set of graph elements to a set of numbers (usually positive integers). For a simple graph G = (V,E) with vertex set V and edge set E, a labeling φ : V ∪E → {1, 2, . , k} is called total k-labeling. The associated vertex weight of a vertex x ∈ V (G) under a total k-labeling φ is defined as wt(x) = φ(x)+ ∑ y∈N(x) φ(xy) where N(x) is the set of neighbors of the vertex x. A total k-labeling is defined to be a vertex irregular total labeling of a graph G, if wt(x) 6= wt(y) holds for every two different vertices x and y of G. The minimum k for which a graph G has a vertex irregular total k-labeling is called the total vertex irregularity strength of G, tvs(G). In this paper, total vertex irregularity strength of interval graphs is studied. In particular, an efficient algorithm is designed to compute tvs of proper interval graphs and bounds of tvs are presented for interval graphs.
Purification and characterization of an endogenous cellulase from the digestive system of grub of banana pseudostem weevil Odoiporus longicollis (Olivier)

Sreeramulu Bhuvaragavan University of Madras https://orcid.org/0000-0002-6358-116X Thenozhiyil Reshma University of Madras Karuppiah Hilda University of Madras Ravichandran Balaji University of Madras https://orcid.org/0000-0001-6023-6662 Mani Meenakumari University of Madras Narayanasamy Mathivanan University of Madras Sundaram Janarthanan (  janas_09@yahoo.co.in ) University of Madras https://orcid.org/0000-0002-4987-6666
Investigate factors that affect hosts suitability and hosts range of Tephritidae: Case of tomato fruit fly Dacus punctatifrons Karsch, Bambili, Cameroon

Factors that influence development and host selection by pest are important for pest suppression in agroecology. Fresh eggs of D. punctatifrons were collected and inoculated to six local fruits in a non-choice test; developmental parameters of larvae were compared. Tomato, water-melon and sweet-pepper were revealed as preferential host of D. punctatifrons (complete development in 31.24 days). Larvae rearing on Guava and mango completed their life-cycle in a relatively longer time (38.63 days), those rearing on orange, all died at stage (L1). Principal Component Analysis showed that feeding significantly affect life traits and demographic parameters of D. punctatifrons. Larval suitability compare to existing databases reveals that, hosts of D. punctatifrons in the laboratory and in nature were different. This could means nutritional criterion is not the only determinant of host selection by D. punctatifrons in nature. Ecological factors (competition and farming practices) may influence more.
Estimation of thermal neutron flux with thermoluminescent dosimeter

The thermal neutron flux estimation in the BNCT is important, due to its high capture reaction probability with boron compounds. The gold foil activation analysis is widely used method to estimate thermal neutron flux. However, this method needs additional instruments such as a high purity germanium detector, a liquid nitrogen cooling system and lead shielding blocks. In this study, we propose thermoluminescent detectors to evaluate thermal neutron flux with less complicated and labor intensive than the conventional method. The 252Cf source was used to calibrate the TLD-600 and TLD-700 with cadmium sheets. The amount of incident thermal neutrons is validated aided by Monte Carlo simulations. The TLDs were placed with the 3 different shielding, i.e. without shield, one side shielded and both sides shielded. The gamma induced signals were corrected by subtracting TLD-700 signals from TLD-600 signals. Then the different shielding configuration enables to evaluate thermal neutron induced signals from them. The irradiation was repeated 3 times with the same condition. The estimation of incident thermal neutron flux to the TLDs was aided by Monte Carlo simulations. The calibration factor (TLD signals to thermal neutron flux) was evaluated by dividing corrected TLD signals by the thermal neutron flux.
Transactions of the Korean Nuclear Society Virtual Autumn Meeting December 17-18 Development of Input Ground Motion for Seismic Analysis of Silo Structure in Low-and Intermediate-Level Radioactive Waste Disposal Facility

Silo is a large concrete structure to dispose of lowand intermediate-level radioactive waste (LILW) [1]. It is located in a stiff rock layer, but considering the long period of waste storage, it is necessary to understand the behavior of the silo for various earthquake disaster scenarios. Detailed seismic analysis can be used to assess the seismic behavior of the silo, and the determination of an appropriate input ground motion is important to improve the reliability of the analysis. However, for underground structures, unlike the nuclear power plant located on the ground surface [2], the determination procedure for input motion is not clearly established. In this study, an input ground motion that can be used to evaluate the seismic behavior of silos in the LILW disposal facility was developed. A probabilistic seismic hazard assessment was performed for the site to derive the uniform hazard spectrum. In addition, the site response analysis was performed to derive the seismic motion of the control point in the analysis.
Confidentiality and Timeliness of Data Dissemination in Platoon-based Vehicular Cyber-Physical Systems

Recent advances in inter-vehicle wireless communications allow for automated and coordinated vehicles' driving in platoon-based vehicular cyber-physical systems (PVCPS). This article presents a comprehensive low-latency cooperative security (LLCS) framework for secure and timely data dissemination in PVCPS. A new cooperative secret key agreement protocol is incorporated to produce secret keys for platooning vehicles based on their radio channel correlation. A new transmit rate adaptation mechanism is presented to minimize the end-to-end latency of the data dissemination in PVCPS. We also numerically test the confidentiality and timeliness of the LLCS framework in terms of key agreement probability and dissemination delay. It is believed that the LLCS framework is the demand of the time to enable secure and reliable autonomous driving for future PVCPS.
A New Modified Nutrient Media for Cultivation of Actinobacteria

CURRENT SCIENCE, VOL. 120, NO. 4, 25 FEBRUARY 2021 718 *For correspondence. (e-mail: angmurthy@gmail.com) fermentation is also used as a condiment in various curries. The shelf-life of bastenga is up to 2 years, with proper measures of handling the shoots while fermenting. The Ao Naga tribe believes that use of hands should be avoided while fermenting; alternatively a spoon could be used. Also, the local people believe that only an expert should be involved in processing the bamboo shoots as the quality of the product may degrade or cause spoilage (oxidation) due to careless handling. The locals believe that bastenga has properties that neutralizes certain allergens that may be present while cooking; however, excessive use leads to stomach ailments owing to its acidic nature. The brine/juice is used as a stimulant to treat bee stings. ‘Generous heart, generous plate’ is the story of every Naga kitchen. Bastenga marks its popularity in the tribal homes, which is evident by the markets that continue to thrive in the region. The overlapping of traditional methods of preparation among the various tribes could be due to the availability of similar resources in the region. However, the selective taste on traditional gastronomy contributes to strengthening culinary culture and fermentation techniques in Nagaland.
Effects of different infusion times and temperatures on some quality parameters of mountain tea (Sideritis congesta).

Due to its positive effects on health, herbal tea production and consumption is constantly increased in Turkey. Mountain tea (Sideritis congesta) is one of the widely consumed herbal teas and it is endemic in Mediterranean Region of Turkey. In this study, effects of infusion times and temperatures on some quality parameters of this herbal tea were studied. For this purpose, total phenolic content, antioxidant activity and colour values of the samples were analyzed. Total phenolic content and antioxidant activity of the samples ranged between 184.55-232.52 mg/L and 0.40-0.68 mg/mg DPPH (IC50), respectively. The highest total phenolic content was determined at the samples produced by 100 °C and 240 seconds infusion application. And, the highest antioxidant activity was determined by 80 °C, 240 seconds application. CIE L*, a*, b*, C and h colour values of the samples ranged between 21.16-24.21, 1.46-2.85, 5.16-7.52, 5.60-7.67 and 61.69-78.43, respectively. Different infusion times and temperatures had statistically significant effects on these quality parameters of the products.
PALEO, 27 | 2016

The excavation of a small area of a deep gallery within Rouffignac cave produced evidence for the exploitation of flint nodules accessible in the walls, ceiling and clayey fill of the cavity. A technological analysis of the lithic artifacts combined with refitting shed new light on the behavior of the groups who occupied the cave. The very homogeneous lithic assemblage demonstrates the on-site testing, roughing-out and sometimes reduction of nodules. No retouched blanks or hammerstones were recovered, and there is no evidence for any activity other than knapping. However, the technological characteristics of the assemblage and a radiocarbon date obtained on charcoal are consistent with the Mesolithic levels documented at the cave’s porch (Barrière 1973a, b, 1974). Finally, a rapid survey of the floor of certain galleries shows the behavior documented in the studied area to be repeated feature of the cave’s occupation.
DETECTION OF MALWARES IN PDF FILE USING DEEP LEARNING

In recent times, malware has been growing continuously as in our digital world. The detection of malware is important for recognizing cyber security problems in society. In recent years AI techniques are exploited to sense the malware. Based on the approach of signature for detecting the products like malware and antivirus with the help of assumption rules in order to identify and categorize the various groups in malware detection types. Due to the particular specified rules, it seems very difficult to acknowledge the newly occurred malware. In recent times, the widely used technique with improved performance even in larger datasets is Deep learning algorithm. Deep learning techniques are capable o to discriminate benevolent and malevolent files without cost and unreliable feature engineering
Cores that don't count

We are accustomed to thinking of computers as fail-stop, especially the cores that execute instructions, and most system software implicitly relies on that assumption. During most of the VLSI era, processors that passed manufacturing tests and were operated within specifications have insulated us from this fiction. As fabrication pushes towards smaller feature sizes and more elaborate computational structures, and as increasingly specialized instruction-silicon pairings are introduced to improve performance, we have observed ephemeral computational errors that were not detected during manufacturing tests. These defects cannot always be mitigated by techniques such as microcode updates, and may be correlated to specific components within the processor, allowing small code changes to effect large shifts in reliability. Worse, these failures are often "silent" - the only symptom is an erroneous computation. We refer to a core that develops such behavior as "mercurial. " Mercurial cores are extremely rare, but in a large fleet of servers we can observe the disruption they cause, often enough to see them as a distinct problem - one that will require collaboration between hardware designers, processor vendors, and systems software architects. This paper is a call-to-action for a new focus in systems research; we speculate about several software-based approaches to mercurial cores, ranging from better detection and isolating mechanisms, to methods for tolerating the silent data corruption they cause.
Prediction Of Short Text In Weblogs For Accurate Classification Using Iohe A Machine Learning Technique

Grouping small texts to one learning category or clusters interpreting that brings similar texts is weblogs or Chat rooms more complex and the necessary for suggestions in various fields such as medical or education are mandatory. We can achieve this semantic mapping and categorization by applying a machine learning technique which produces easy understanding improved one hot encoding (IOHE) as vector representation of small text. Also can be allotted the similar classifying group to messages that are alike binary representations. When there is activity or service context in small text we arises a proposed system Machine Learning (ML) technique for semantic binary codes by grouping verbs, noun from the small message and annotate the mutual understanding content, adding the associated texts classification with the support of introduced terms. Alternatively verbs are also utilizing the technique by trimming the indistinct context that is available in the short text. The proposed model using Machine learning that manages the text to be processed easily and avoid huge time for processing the same information or unwanted context matching while labels are being predicted. So the group or category of label can improve the supervised learning and refer the verbs and noun in accurate manner.
Clustering of ETF Data for Portfolio Selection during Early Period of Corona Virus Outbreak

Market prediction is important for well-organized portfolio management with wise selection of investments. As share market prices change dynamically depending on various factors, manual tracking is difficult. Machine learning tools are now becoming popular for automatic prediction and recommendation for stock trading. In this work, the objective is to apply popular machine learning techniques for time series clustering on real ETF (Exchange Traded Funds) data and conduct a performance comparison of the results. Here four clustering methods are used which are: 1) Hierarchical clustering with Euclidean distance, 2) k-means clustering with a) Euclid distance (ED) and b) Dynamic Time Warping (DTW) as the distance measures, 3) k-means with shape based distance measure (k-Shape) and 4) k-means with a newly developed shape based transformation along with DTW as a similarity measure LTAA (Log Time Axis Area). The clustering results on 20 ETF data from Tokyo Stock Exchange have been analyzed. It is found that the trends of the stock market of different funds during the early period after the outbreak of coronavirus can be categorized into roughly three clusters. The big cluster is representing ETFs suffering loss and two smaller clusters, one of them showing no damage and the other comprised of ETFs suffering loss but showing varying degrees of recovery with time.
Clustering Study on Constitutive Equations for using Integral Effect Test Data to Improve Accuracy of a Reactor Safety Analysis Code

It is necessary to satisfy safety requirements in the nuclear power plant. Among the safety requirements, the safety system should respond and meet safety goals under design basis accidents. However, it is not easy to confirm this with the full-scale experiment. Thus, reactor safety analysis code is used for simulating hypothetical reactor accidents. The accuracy of the reactor safety analysis code has a profound effect on the accident analysis, and the endeavor of increasing safety analysis codes’ accuracy has been going on for decades. Most of the reactor safety analysis codes are composed of governing equations and constitutive equations (i.e. wall heat transfer, wall friction, interfacial heat transfer, interfacial friction). The constitutive equation is a fitting correlation of the separate effect test results. Separate effect test is an experiment focusing only on specific local phenomenon. In recent years, integral effect test (IET) is being conducted. The test facility is a scale down facility of a nuclear power plant including most of the important nuclear reactor’s safety system component. There are some cases which the experiment results and code simulation results are different. In this case, constitutive equations are preferentially modified to increase the code accuracy. However, it is difficult to use the IET data directly in this process, and especially not easy to know which constitutive relation is responsible. Therefore, it takes tremendous effort and time to improve the constitutive equations. In this study, following methods are proposed to improve accuracy of the reactor safety analysis code with the IET data directly. First, the constitutive equations are grouped with clustering method. In this process, ‘big’ data that can cover the whole design basis accident scenarios is necessary. Second, the optimal multiplier coefficient for each group is obtained. Various optimization techniques can be used to calculate the multiplier coefficient. In this paper, data generation and data clustering are first conducted and presented. Fig. 1. Proposed method for increasing code accuracy
DETERMINANTS OF CUSTOMER PATRONAGE FOR LOCAL FOOD RESTAURANTS IN A TYPICAL SUB-SAHARAN AFRICAN CONTEXT

This study centers on the determinants of customer patronage for local food restaurant in Awka metropolis. There exists dearth of empirical studies on the patronage behavior of customers of local food restaurants in Awka metropolis. The study employed survey design and the population of study is the customers of local food restaurants in the area. The sampling technique used was quota sampling and the sample size is 246 respondents. The research instrument was questionnaire while data collected were subjected to reliability test using factor analysis. The result of the multiple regression analysis shows that food quality is the best predictor of customer patronage of local food restaurants follow by food varieties, convenient location, cultural influence, physical environment and service quality while price is not a significant determinant. We therefore recommend that local food restaurant operators should improve on the quality of meals served; provision of varieties of meals with different spices and meals should express the culture of the customer among others.
PCOS is a kind of heterogeneous disorder of unknown etiology. The heterogeneity of the ovarian morphology and clinical findings in patients with polycystic ovaries was first recognized by Stein and Leventhal in 1935

Polycystic ovarian syndrome (PCOS) is a common reproductive disorder which leads to infertility in association with several disorders like oligomenorrhea, obesity, type II diabetes mellitus and cardiovascular disorder. It is characterized by an increased level of androgen production and disordered gonadotropin secretion, which results in chronic anovulation. In fact, it is the leading cause of anovulatory infertility. It mostly affects the women of reproductive age. In this review, there is a detailed description about the clinical manifestations, diagnosis, etiologies and treatments. © 2013 Elixir All rights reserved ARTICLE INF O Articl e h istory: Received: 5 July 2013; Received in revised form: 20 August 2013; Accepted: 5 September 2013;
High spin pumping efficiency in Fe80Co20/Ta bilayers

We have investigated the spin pumping phenomenon in Fe80Co20/Ta bilayers of different thicknesses in which the ferromagnet grows epitaxially on MgO substrates. We have obtained a Gilbert damping constant for Fe80Co20 as low as α = 1.3(1) × 10−3, which is smaller than values generally reported in metallic ferromagnets. From the dependence of α with the Fe80Co20 thickness, we extracted the value of the effective spin mixing conductance g↑↓ = 5.7(3) × 1014 cm−2. Analyzing the Ta and Fe80Co20 thickness dependence of the inverse spin Hall effect voltage, we obtained the transport parameters λsd = 1.1(3) nm and ΘSH = –0.024(3). We have developed an expression to quantify the efficiency of the spin pumping phenomenon in ferromagnetic/nonmagnetic metal bilayers. The calculated efficiency shows that the Fe80Co20/Ta system is up to an order of magnitude more efficient than other metallic ferromagnetic bilayers reported in the literature.
Control of magnetization dynamics by substrate orientation in YIG thin films

Yttrium Iron Garnet (YIG) and bismuth (Bi) substituted YIG (Bi0.1Y2.9Fe5O12, BYG) films are grown in-situ on single crystalline Gadolinium Gallium Garnet (GGG) substrates [with (100) and (111) orientations] using pulsed laser deposition (PLD) technique. As the orientation of the Bi-YIG film changes from (100) to (111), the lattice constant is enhanced from 12.384 Å to 12.401 Å due to orientation dependent distribution of Bi3+ ions at dodecahedral sites in the lattice cell. Atomic force microscopy (AFM) images show smooth film surfaces with roughness 0.308 nm in Bi-YIG (111). The change in substrate orientation leads to the modification of Gilbert damping which, in turn, gives rise to the enhancement of ferromagnetic resonance (FMR) line width. The best values of Gilbert damping are found to be (0.54 ± 0.06) × 10−4, for YIG (100) and (6.27 ± 0.33) × 10−4, for Bi-YIG (111) oriented films. Angle variation (ϕ) measurements of the Hr are also performed, that shows a four-fold symmetry for the resonance field in the (100) grown film. In addition, the value of effective magnetization (4πMeff) and extrinsic linewidth (ΔH0) are observed to be dependent on substrate orientation. Hence PLD growth can assist single-crystalline YIG and BYG films with a perfect interface that can be used for spintronics and related device applications.