Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Roasting Prior to Pressing on the Camellia Oil Quality

Oil tea camellia seed oil serves as a culinary oil in China for over two thousand years. It has many remedial functions as described in ancient Chinese medicine books, such as mitigating blood circulation, nourishing gastrointestinal tract, improving eyesight and detoxification. Camellia oils sold in Taiwan are manufactured by traditional pressing methods and without refining. Standard processing procedures include dehulling, milling and pressing. A roasting treatment can be added between the dehulling and milling stages, but little is scientifically known about its advantages or disadvantages. In this study three camellia seeds, Camellia oleifera, Camellia tenuifolia and Camellia sinensis, were treated to different roasting conditions at various temperatures and times. The resulting oils were analyzed with respects to acid value, peroxide value, fatty acid composition, and phenols content to investigate their quality and characteristics. Our results suggested that with adequate roasting treatments the camellia oil quality can be improved and become oxidatively more stable.
Videojuegos trasladados al cine : análisis y caracterización de la narrativa audiovisual en ambos medios

espanolLa tendencia, cada vez mas creciente, de trasladar videojuegos a la gran pantalla, nos ha llevado a plantear una comparativa en torno a las similitudes y diferencias de la narrativa audiovisual presente tanto en los videojuegos como en sus adaptaciones cinematograficas. Con el objetivo de evidenciar las causas del bajo exito comercial de los films frente a sus analogos. EnglishThe trend of moving to the big screen gaming, growing, has led us to propose a comparison about the similarities and differences of audiovisual narrative present in both games and in their film adaptation. With the aim of demonstrating the causes of low commercial success of films compared to their analogues.
Generalization of Determinant Kernels for Non-Square Matrix and its Application in Video Retrieval

For a specific set of features selected for representing videos, the performance of a content-based video retrieval system depends critically on the similarity or dissimilarity measures used. In this paper, we propose a kernel approach to improve the retrieval performance of content-based video retrieval systems namely determinant kernel. The input of this kernel is the dot product of feature matrices that extracted from shot visual information. Due to the variation in the number of each shot frames, the size of feature matrices are different and so the result of dot product become a non-square matrices. Almost all available techniques use summarizing methods to equalize the size of the matrices which lead to loss some parts of information. To solve this problem, we present a non-square determinant kernel based on Radic's definition. We evaluate the performance of the derived Kernels by retrieving video shots of news and speaking videos. Experimental results confirm the effectiveness of our proposed algorithm.
STIMULATION OF REPRODUCTION IN CAPTIVITY OF THE WILD RABBIT, ORYCTOLAGUS CUNICULUS

: Female wild rabbits which failed to breed under laboratory conditions were treated with gonadotrophins and artificially inseminated with epididymal spermatozoa. The fertilized eggs so obtained were transferred to synchronous domestic rabbits. Altogether, 185 eggs were transferred to thirty-six recipients. Thirty-three of the recipients maintained pregnancy to term and nearly half of the transferred eggs developed into normal young. Birthweights ranged from 45 to 59 g. Postnatal survival was excellent. Females born in captivity remained sexually immature in spite of attaining normal adult body weights. Sexual development was apparently normal in the males, although most remained shy breeders. Incidental observations on ovarian response, egg size and rate of development are presented.
Is Hand Plucking an Accurate Method of Estimating Bite Mass and Instantaneous Intake of Grazing Herbivores?

Abstract Instantaneous intake is central to the understanding of large herbivore foraging strategies and rangeland ecology. Unfortunately, its measurement under field conditions remains challenging because of the difficulty of estimating bite mass. The hand plucking method provides a simple, noninvasive method of estimating bite masses and thus instantaneous intake of grazing herbivores. However, many authors questioned its accuracy and interobserver repeatability. In this study, we tested the accuracy and the repeatability of the hand plucking method using four observers and two herbivore species (i.e., cattle and goats). We compared hand plucked bite mass estimates to actual bite mass of bites taken by the herbivores on natural patches of grass. Training of the observers was fundamental to obtaining accurate bite mass measurements. The mean daily accuracy of the observers' bite mass estimates increased from 60–80% to 80–94% within 5 d. After training, the relationship between bite mass estimates and actual bite mass was linear and not significantly different from a Y = X relationship. This means that individual bite mass estimates were centered on the real values and thus positive and negative errors canceled each other when combined. As a result, estimates of cumulative intake over about 10 feeding stations had accuracies of over 95%. Furthermore, neither the observer identity nor the herbivore species affected the accuracy of the measurements. The categorization of bites into different size categories proved to be essential in achieving accurate measurements. When observers are trained, hand plucking is a reliable and accurate method of estimating bites mass and instantaneous intake of grazing herbivores. This has important implications for rangeland research and management, as hand plucking is often the only practicable method available for estimating instantaneous intake of free-ranging herbivores.
Net greenhouse gas fluxes in Brazilian ethanol production systems

Biofuels are both a promising solution to global warming mitigation and a potential contributor to the problem. Several life cycle assessments of bioethanol have been conducted to address these questions. We performed a synthesis of the available data on Brazilian ethanol production focusing on greenhouse gas (GHG) emissions and carbon (C) sinks in the agricultural and industrial phases. Emissions of carbon dioxide (CO2) from fossil fuels, methane (CH4) and nitrous oxide (N2O) from sources commonly included in C footprints, such as fossil fuel usage, biomass burning, nitrogen fertilizer application, liming and litter decomposition were accounted for. In addition, black carbon (BC) emissions from burning biomass and soil C sequestration were included in the balance. Most of the annual emissions per hectare are in the agricultural phase, both in the burned system (2209 out of a total of 2398 kg Ceq), and in the unburned system (559 out of 748 kg Ceq). Although nitrogen fertilizer emissions are large, 111 kg Ceq ha−1 yr−1, the largest single source of emissions is biomass burning in the manual harvest system, with a large amount of both GHG (196 kg Ceq ha−1 yr−1). and BC (1536 kg Ceq ha−1 yr−1). Besides avoiding emissions from biomass burning, harvesting sugarcane mechanically without burning tends to increase soil C stocks, providing a C sink of 1500 kg C ha−1 yr−1 in the 30 cm layer. The data show a C output: input ratio of 1.4 for ethanol produced under the conventionally burned and manual harvest compared with 6.5 for the mechanized harvest without burning, signifying the importance of conservation agricultural systems in bioethanol feedstock production.
Invited Review ANIMAL WELFARE AND POULTRY PRODUCTIVITY: A SHORT REVIEW [EL BIENESTAR ANIMAL Y LA PRODUCTIVIDAD AVÍCOLA: UNA

The aim of this review is to present production alternatives based on animal welfare standards and good management practices on broiler and posture breeding. The excessive intensive production of eggs and chicken meat comes from the demand for food from a growing world population. And it has forgotten good animal husbandry and management practices. Which causes an imbalance of the sympathetic nervous system and adrenal medullary tissue that control the response of the poultry to stress, raising catecholamine levels inducing the release of glucose causing liver, heart and neuronal failure. these effects become visible due to the increase of diseases since the immune system is depressed, food intake decreases, oxytocin inhibition, which results in reduced reproduction and even death of the poultry. The incorporation of animal welfare standards imposed in intensive breeding, as well as, the production of eggs and meat under production systems (grazing) and backyard production become a sustainable alternative that maximizes the welfare of the poultry
The impact of no placement of drains in hemithyroidectomy on the postoperative course: A single-institutional study in Japanese patients

Title The impact of no placement of drains in hemithyroidectomy on the postoperative course: A single-institutional study in Japanese patients Author(s) Yamanouchi, Kosho; Kuba, Sayaka; Sakimura, Chika; Takatsuki, Mitsuhisa; Hayashida, Naomi; Eguchi, Susumu Citation Acta medica Nagasakiensia, 61(2), pp.67-70; 2017 Issue Date 2017-08 URL http://hdl.handle. net/10069/37733 Right NAOSITE: Nagasaki University's Academic Output SITE
A Quantum-Cognition Approach to the Study of Second Language Acquisition

In this paper, I want to draw attention to the fact that – following other linguistic disciplines such as Semantics, Natural Language Processing, and Information Retrieval – Second Language Acquisition (SLA) research could also benefit from a quantum-cognition approach. In order to illustrate the potential of a future collaboration between SLA and quantum-cognition, I describe a case-study demonstrating a quantum effect in SLA, namely, the superposition of a grammatical and a statistical rule of noun-article agreement. I argue that a second language (L2) competence – like other phenomena in both nature and the human mind – is measurement-dependent, meaning that we can access it only contextually and probabilistically.
Impact of Scaling Gate Insulator Thickness on the Performance of Carbon Nanotube Field Effect Transistors (CNTFETs)

As scaling down Si MOSFET devices degrade device performance in terms of short channel effects. Carbon nanotube field effect transistor (CNTFET) is one of the novel nanoelectronics devices that overcome those MOSFET limitations. The carbon nanotube field effect transistors (CNTFETs) have been explored and proposed to be the promising candidate for the next generation of integrated circuit (IC) devices. To explore the role of CNTFETs in future integrated circuits, it is important to evaluate their performance. However, to do that we need a model that can accurately describe the behavior of the CNTFETs so that the design and evaluation of circuits using these devices can be made. In this paper, we have investigated the effect of scaling gate insulator thickness on the device performance of cylindrical shaped ballistic CNTFET in terms of transfer characteristics, output characteristics, average velocity, gm/Id ratio, mobile charge, quantum capacitance/insulator capacitance, drive current (Ion), Ion / Ioff ratio, transconductance, and output conductance. We concluded that the device metrics such as Ion, Ion / Ioff ratio, transconductance, and output conductance increases with the decrease in gate insulator thickness. Also, we concluded that the gate insulator thickness reduction causes subthreshold slope close to the theoretical limit of 60 mV/decade and DIBL close to zero at room temperature.
Efficient Hardware Architecture for Cyclostationary Detector

Objectives:Cognitive radio is evolved for utilising the unused spread spectrum effectively in wireless communication. The foremost concept is sensing the holes (white spaces) in the frequency spectrum allotted and it facilitates a way that how effectively and efficiently the bandwidth is used.Methods/Analysis:There are various methods available for sensing the spectrum and one such a sensing method is cyclostationary detection. The method of cyclostationary feature mainly focuses on detecting whether the primary user is present or absent. By using cyclic cross-periodogram matrix, the calculation of threshold of a signal is carried out to find the existence of noise or signal. Findings:The difficulty in evaluating the targeted threshold is evaded by training an artificial neural network by extracted cyclostationary feature vectors which are obtained by FFT accumulation method. Novelty /Improvement:This paper proposes hardware architecture for cyclostationary detection.
EXPAMOD: A methodological Tool for Linking Farm and Market Models by Means of Econometric Response Functions

Technical change at the farm level or changes in input prices often entail that the firm's supply function changes. These changes can take place in numerous ways. This paper presents a methodology that increases the consistency in supply responses across various sets of agricultural products and farm types with a market model based on a statistical response function approach. Since most farm simulation models are limited to a subset of regions and farm types, the linkage to an aggregated model requires a procedure for expanding these results to non sample regions, so that full regional coverage is achieved. This paper addresses theoretical aspects related to the consistency between micro and market level models. Next it deals with some empirical findings related to the selection of different functional forms for extrapolation. We conclude with a critical reflection on applicability of this method in addressing further needs on up-scaling of other economic as well as non-economic indicators.
Heavy Metal Removal in a Constructed Wetland and Benefits for the Development of the Toad Bufo raddei

Heavy metal (HM) pollution in aquatic environments is of worldwide concern because of the toxicities of HMs in animals and humans. Constructed wetlands (CWs) have successfully been used as cost-effective natural systems to remove various contaminants. However, the effects of CW on the survival of animals have not been studied in any depth. We established a CW to remove HMs from water in Baiyin City, in the upper Yellow River (YR) region, which has a highly developed mining industry. The BM removal efficiency of CW as well as its effect on the development of the toad Bufo raddei were studied. The HM removal efficiencies by the CW were in the order Cd>Pb>Zn>Cu, and the decrease of the KM concentrations in the water also caused the decrease of the HM concentrations in B. raddei toads living in the CW. The toads in the CW had larger body sizes and less oxidative stress than toads living in the YR, and no malformations were found in the toads living in the CW. These results indicate that CW systems such as that used in this study could protect amphibians from developmental problems caused by HIM pollution. We recommend that CW systems are used to treat polluted water and protect amphibians.
Kinetics of chain transfer agents in photopolymer material

The Non-local Photo-Polymerization Driven Diffusion (NPDD) model was introduced to describe the observed drop-off in the material's response for higher exposing spatial frequencies. Recent work carried out on the modeling of the mechanisms which occur in photopolymers during- and post-exposure, has led to the development of a tool, which can be used to predict the behaviour of these materials under a wide range of conditions. In this article, based on the chemical reactions of chain transfer agents, we explore this extended NPDD model, illustrating some of the useful trends, which the model predicts and we analyse their implications on the improvement of photopolymer material performance.
Evaluation of antioxidant activity of the methanolic leaf extract of Clausena excavata Burm. f.(Rutaceae) using the lipid peroxidation model

Abstract Clausena excavata Burm. f. (Rutaceae) has long been associated with medicinal benefits in folk medicine, particularly in the treatment of cancer and its related disorders in the eastern region of Thailand. The present study evaluates the antioxidant activity of the methanolic leaf extract of C. excavata using the lipid peroxidation model. The results indicated that the methanolic leaf extract showed marked antioxidant activity (IC 50 = 201.3 μg/ml), whereas the aqueous leaf extract showed moderate antioxidant activity (IC 50 = 450.6 μg/ml). In conclusion, the antioxidant activity of the methanolic leaf extract of C. excavata was comparable with that of propyl gallate, which is used as a standard drug, thus confirming that it might be a good source of antioxidants. The extended degree of antioxidant activity could be attributable to the presence of flavonols, gallic acid, and angelicin, which are known to be antioxidants.
A reinforcement learning fuzzy controller for set-point regulator problems

Intelligent control refers to controllers that can analyze their performance and make necessary changes to their behavior in order to satisfy certain predefined control goals. This paper describes a self-learning controller model that can efficiently learn the control law for complex systems through reinforcement learning techniques and dynamic programming-like algorithms. The controller is applied to a class of problems called general set-point regulator problems in which the objective is to drive the system to the set-point while optimizing some performance objective function, making no a priori assumptions about the dynamics of the plant or its optimal trajectory. The relevant tasks for a self-learning controller are discussed. Learning is accomplished via incremental, online dynamic programming-like algorithms. Both temporal differences and Q-learning are used in the learning algorithm. Experimental results with both are reported on the inverted pendulum balancing problem, the power system stabilization problem, and the tethered satellite system retrieval problem.
Comparison of cross-validation and bootstrap aggregating for building a seasonal streamflow forecast model

Abstract. Based on a hindcast experiment for the period 1982–2013 in 66 sub-catchments of the Swiss Rhine, the present study compares two approaches of building a regression model for seasonal streamflow forecasting. The first approach selects a single "best guess" model, which is tested by leave-one-out cross-validation. The second approach implements the idea of bootstrap aggregating, where bootstrap replicates are employed to select several models, and out-of-bag predictions provide model testing. The target value is mean streamflow for durations of 30, 60 and 90 days, starting with the 1st and 16th day of every month. Compared to the best guess model, bootstrap aggregating reduces the mean squared error of the streamflow forecast by seven percent on average. Thus, if resampling is anyway part of the model building procedure, bootstrap aggregating seems to be a useful strategy in statistical seasonal streamflow forecasting. Since the improved accuracy comes at the cost of a less interpretable model, the approach might be best suited for pure prediction tasks, e.g. as in operational applications.
Functional Capacity of Fcy Receptor III ( CD 16 ) on Human Neutrophils

Receptors for the Fc region of immunoglobulin G (IgG) are a structurally diverse group of molecules. Within the three FcyR families (Fcq, RI, Fc],RII and Fcq, RIII), the presence of distinct genes and alternative splicing variants leads to a variety of receptor isoforms that are most strikingly different in the transmembrane and intracellular regions. An obvious example of structural variation in the transmembrane and cytoplasmic domains is observed in the Fc3,RIII family. F~RIIIB, which is nearly identical to Fc'yRIIIA in the extracellular domains, lacks both transmembrane and cytoplasmic protein domains and is anchored to the cell through a glycosyl phosphatidylinositol anchor. Analysis of Fcq'RIII function presents a considerable challenge in understanding the role of different Fc,/R receptors in polymorphonuclear neutrophil (PMN) function. While one hypothesis for the role of FcTRIII in FcTR-dependent PMN effector functions is that FcTRIII serves as a binding molecule which focuses the IgG ligand for more efficient recognition and intracellular signaling by FcTRII, recent observations from a number of laboratories suggest that Fc],RIII on PMN can transduce signals across the membrane independent of ligand-dependent engagement of FcTRII. We will review these data and present recent data which suggest that the role of F~RIII extends beyond direct initiation of functions to a more complex role of synergistic receptor interactions. These findings will be reviewed in the context of the experimental approaches that thave been used to examine the roles of Fc'yRII and Fcq, RIII on PMN func-
The micropropagation of the strawberry cultivar 'Idea'

This work presents the production technology of the strawberry cultivar ‘Idea’ by micropropagation. Meristems of 0.5mm size were isolated in June from the stolons of examined strawberry sorts. They were raised on Murashige and Skoog’s (Murashige and Skoog, 1962) medium in presence of 6-Benzylaminopurine (BAP), Indole-3-butyric acid (IBA) and gibberellic acid (GA3). Fifty days later meristems were organized into a foliate rosette. Multiplication was achieved on Murashige and Skoog’s substratum with BAP and IBA. The plants which came to the size of about 10mm were shifted to the substratum for tree rooting. Tree rooting was achieved on Murashige and Skoog’s substratum with IBA. Sixty days later the plants with strongly developed roots were transplanted into the peaty briquettes. One month later the plants were transplanted into flowerpots and kept in a greenhouse at a temperature of 10-15 0 C.
Long Run Macroeconomic and Sectoral Determinants of Systemic Banking Crises

In a panel comprising 61 countries covering the years 1980-2010 we show that macroeconomic variables such as GDP and real-interest rates lose potency as systemic banking crisis determinants when estimated over a full business cycle and that the choice of panel time-span is of high relevance. Using a shorter panel (1998-2011) involving 75 countries, we show that sectoral variables such as Bank Z-Score, private-credit-to-GDP ratio, bank credit-to-deposit ratio and non-performing loan levels represent an improved model-fit over their macroeconomic-focused counterparts, yielding improved in-sample crisis predictions. Whereas sectoral-centric models may over-estimate the likelihood of systemic banking crises this does not constitute a model weakness if not overlooking embryonic crises is the key objective. Future research is facilitated via the establishment of a control cluster of determinants with both sectoral as well as macroeconomic constituents.
A Constructivist Approach for Introducing Pre-Service Teachers to Educational Technology: Online and Classroom Education

The goals for our preparation of pre-service teacher educators in educational media and technology include the development of pedagogical ability as well as technical knowledge and skills. Pedagogically we adopted the goal of teaching the students to use technology to facilitate a constructivist approach to teaching and learning. We have developed a classroom-based and online courses in which we immerse students in educational media and technology. In this paper we provide accounts of our experiences in the implementation of these constructivist learning environments.