Miracle-dz/UniFAR-FTUs huggingface dataset:
Protein Content and Antioxidant Activity of Distiller' Spent Grains (DSG) Dried under Different Conditions

Distillers? spent grains (DSG) are the byproduct of bio-fuel and ethanol production. It has been reported than DSG contain high amounts of protein, fiber and other valuable components. Commonly, DSG are dried to extend their shelf-life and to reduce the cost of transportation, and probably, the drying method may affect the nutritional/functional value of the final product. The objective was to evaluate the protein content and the antioxidant activity of DSG dried under different conditions. Three drying procedures were followed: drying with near ambient air at 30
Differences in the Survival, Transmission, and Susceptibility to Disinfection of M1 and M5 Protein Possessing Streptococcus pyogenes and Other Pathogens on Airplane Cabin Surfaces

ii Acknowledgments iii List of Figures iv List of Tables v Preface 1 Chapter 1 2 Literature Review 2 References 24 Chapter 2 31 Abstract 31 Materials and Methods 32 Results 36 Conclusion 45 References 51 Chapter 3 55 Literature Review 55 References 71 Chapter 4 75 Abstract 75 Introduction 75 Materials and Methods 76 Results 77 Discussion 78 Conclusion 82 References 83
Imputation Framework for Missing Values

Missing values may occur for several reasons and affects the quality of data, such as malfunctioning of measurement equipment, changes in experimental design during data collection, collation of several similar but not identical datasets and also when respondents in a survey may refuse to answer certain questions such as age or income. Missing values in datasets can be taken as a common problem in statistical analysis. This paper first proposes the analysis of broadly used methods to treat missing values which are either continuous or discrete. And then, an estimator is advocated to impute both continuous and discrete missing target values. The proposed method is evaluated to demonstrate that the approach is better than existing methods in terms of classification accuracy.
Targeting Inflation under Uncertainty: Policy Makers' Perspective

Monetary policy makers need to build two pillars for their inflation targeting strategy. Firstly, a methodology for producing the central forecast should be developed, since the whole decision process is more easily organised around a model forecast. Secondly, a methodology for dealing with uncertainties is equally important, because a poor evaluation of uncertainties can significantly reduce the quality of monetary policy decisions. Reflecting the further progress of the methodological debate inside the CNB, this paper aims to provide suggestions to policy makers as to which methods could be used to assess uncertainty during the monetary policy decision process. Suggestions for each stage of the process are summarised in the final chapter. These take into account the findings of surveys of three very distinct sources – the economic literature on monetary policy under uncertainty, the managerial literature on decision analysis, and the real-life strategies of five central banks. The lessons from these three surveys are presented in separate chapters.
Autophagy in Non-Alcoholic Fatty Liver Disease (NAFLD)

Autophagy is a mechanism involved in cellular homeostasis under basal and stressed conditions delivering cytoplasmic content to the lysosomes for degradation to macronutrients. The potential role of autophagy in disease is increasingly recognised and investigated. To date, a key role of autophagy in hepatic lipid metabolism is recognised and dysfunctional autophagy might be an underlying cause of non-alcoholic fatty liver disease (NAFLD). Nevertheless, the exact role of autophagy in lipid metabolism remains controversial, with both a lipolytic function of autophagy and lipogenic function reported. This chapter aims to review the current knowledge on autophagy in NAFLD, with a special focus on its role in hepatic lipid metabolism, hepatic glucose metabolism and insulin resistance, steatohepatitis, hepatocellular injury and hepatic fibrogenesis. Finally, interaction with another cellular homeostatic process, the unfolded protein response (UPR), will be briefly discussed.
Convergence of Online and Approximate Multiple-Step Lookahead Policy Iteration

Anderson (1965) acceleration is an old and simple method for accelerating the computation of a fixed point. However, as far as we know and quite surprisingly, it has never been applied to dynamic programming or reinforcement learning. In this paper, we explain briefly what Anderson acceleration is and how it can be applied to value iteration, this being supported by preliminary experiments showing a significant speed up of convergence, that we critically discuss. We also discuss how this idea could be applied more generally to (deep) reinforcement learning.
Robust synthesis of dynamic prefilters

The design of a dynamic prefilter from the point of view of robust performance under structured uncertainty is considered. Synthesis methods are presented for the cases of H/sub /spl infin// or H/sub 2/ performance, and linear time-invariant (LTI) or linear time varying (LTV) uncertainty, all of which result in convex optimization problems across frequency. Methods to obtain finite-dimensional approximations are discussed. In the case of H/sub /spl infin// performance and LTV uncertainty, the synthesis problem is reduced exactly to a finite dimensional linear matrix inequality in state space.
Introducing a Weighted Ontology to Improve the Graph-Based Semantic Similarity Measures

The semantic similarity measures are designed to compare terms that belong to the same ontology. Many of these are based on a graph structure, such as WordNet, a well-known lexical database that groups the words into sets of synonyms called synsets. The literature shows several ways to determine the similarity between words or sentences through WordNet, but almost all of them do not take into account the peculiar aspects of the used dataset. In some contexts this strategy could lead toward bad results, because it considers only the relationship between vertexes of the WordNet semantic graph, without giving them a different weight based on the synsets frequency (i.e., common and rare synsets are valued equally). This could create problems in some applications, such as those of recommender systems, where WordNet is exploited to evaluate the semantic similarity between the textual descriptions of the items positively evaluated by the users, and the other ones not evaluated yet. In this context, we need to identify the user preferences as best as possible, and not taking into account the synsets frequency, we risk to not recommend certain items to the users, since the semantic similarity generated by the most common synsets present in the description of other items could prevail. We face this problem by introducing a novel criterion of evaluation of the similarity between terms that exploits WordNet, adding to it the weight information of the synsets. The effectiveness of the proposed strategy is verified in the recommender systems context.
Inhibition of glutathione S-transferases (GSTs) activity from cowpea storage bruchid, Callosobrochus maculatus Frabiricius by some plant extracts

Crude ethanolic extracts of Tithonia diversifolia, Cyperus rotundus and Hyptis suavolens have insecticidal activity against Callosobrochus maculatus Frabiricius. The ethanol extracts of the plants have positive results for alkaloids, saponin, tannins and flavonoids. Antioxidant and reducing properties were also determined in the crude ethanol extracts. Cowpea storage bruchid, C. maculatus glutathione S-transferases was a potential target for the plants extracts. Gluathione S-transferase from cowpea storage bruchid was purified by affinity gel chromatography of glutathione sepharose. Inhibition effect of the plant extracts on the GST was studied by spectrophotometric method. The binding of the extract was competitive by the Dixon plot with Ki of 84, 132 and 180 ug/mL for T. diversifolia , C. rotundus and H. suavolens, respectively. We suggest that reported efficacy of the extract is due to the antioxidant properties and competitve binding inhibition on GST may contribute to the pharmacological basis of the efficacy against cowpea storage bruchid, C. maculatus Frabiricius and its attendant managements.
Translating English texts into sets of predicate argument structures

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Translating English texts into sets of predicate argument structures Elisabeth Godbert, Jean Royaute
Comparison of sound velocity estimation and classification methods for ultrasonic testing of cheese

Testing of two methods novel to ultrasonic measurements was carried out on cheese samples to estimate the Time-of-Flight (TOF) parameter. The Short Time Average/Long Time Average (STA/LTA) method and the Autoregressive Akaike Information Criterion Picker (AR-AIC picker) method are used mainly in seismology for earthquake event detection. The STA/LTA method proved to be ineffective with such noise level that is present during ultrasonic measurements, but the AIC picker algorithm yielded reliable results. A new approach for classification was tested on two types of samples, those were matching in composition, but different in treatment and texture. The method used is based on the results of wavelet decomposition, and after retrieving sufficient spectral data, a linear discriminant analysis (DA) resulted in 100% correct classification, which was compared to the DA classification results based on other methods.
EVALUATION OF THE POTENTIAL OF BIODIESEL 3G: HETEROTROPHIC BIOREACTORS

Biodiesel derived from microalgae has several benefits over other resources, such as oil productivity. Many microalgae greatly exceeds the best oil producing crops. Nonetheless, in order to make microalgal biodiesel competitive, single-cell oil productivity evaluation is required under different process conditions. This work evaluates the potential of third generation biodiesel (3G) by microalgae Aphanothece microscopica Nageli cultivate heterotrophically in agro-industrial wastewaters (fish processing, rice parboiling and dairy processing). The results indicate that the single-cell oil productivities reached 0.05, 0.12 and 0.49 glipid/L.day for cultivations in fish processing, rice parboiling and dairy processing wastewater, respectively. These values are comparable to oil productivities obtained currently with soybean, demonstrating the potential of microalgae as matrix for oil production for biofuels.
Low-temperature photocarrier dynamics in single-layer MoS2 flakes

The dichalcogenide MoS2, which is an indirect-gap semiconductor in its bulk form, was recently shown to become an efficient emitter of photoluminescence as it is thinned to a single layer, indicating a transition to a direct-gap semiconductor due to confinement effects. With its layered structure of weakly coupled, covalently bonded two-dimensional sheets, it can be prepared, just as graphene, using mechanical exfoliation techniques. Here, we present temperature-dependent and time-resolved photoluminescence (PL) studies of single-layer MoS2 flakes. Some of the flakes are covered with oxide layers prepared by atomic layer deposition (ALD). At low temperatures, we clearly see two PL peaks in the as-prepared flakes without oxide layers, which we may assign to bound and free exciton transitions. The lower-energy, bound exciton PL peak is absent in the oxide-covered flakes. In time-resolved PL measurements, we observe very fast photocarrier recombination on the few-ps timescale at low temperatures, with increasing photocarrier lifetimes at higher temperatures due to exciton-phonon scattering.
A DISCRETE ANALOGUE OF THE CONTINUOUS POWER LINDLEY DISTRIBUTION AND ITS APPLICATIONS

Methods to generate a discrete analogue of a continuous distribution have been widely considered in recent decades. In general, the discretization procedure comprises in transform continuous attributes into discrete attributes generating new probability distributions that could be an alternative to the traditional discrete models, such as Poisson and Binomial models, commonly used in analysis of count data. It also avoids the use of continuous in the analysis of strictly discrete data. In this paper, using the discretization method based on the survival function, it is introduced a discrete analogue of power Lindley distribution. Some mathematical properties are studied. The maximum likelihood theory is considered for estimation and asymptotic inference concerns. A simulation study is also carried out in order to evaluate some properties of the maximum likelihood estimators of the proposed model. The usefulness and accurate of the proposed model are evaluated using real datasets provided by the literature.
From cavity electromechanics to cavity optomechanics

We present an overview of experimental work to embed high-Q mesoscopic mechanical oscillators in microwave and optical cavities. Based upon recent progress, the prospect for a broad field of "cavity quantum mechanics" is very real. These systems introduce mesoscopic mechanical oscillators as a new quantum resource and also inherently couple their motion to photons throughout the electromagnetic spectrum.
An Improved Outdoor Camera Calibration Method Based On EKF

An improved outdoor camera calibration method based on Extended Kalman Filter (EKF) is proposed in this paper. GPS coordinate system is introduced to establish world coordinate system in the calibration procedure. According to the characteristics of GPS coordinate converted to plane coordinate and the camera calibration model, we establish the mapping relations of reference points between image plane coordinate and the world coordinate. Further, we consider the world coordinate error, set the world coordinates as the measure quantities, use the method of EKF to get the optimal estimation of intrinsic and extrinsic camera parameters, in EKF the camera's intrinsic and extrinsic parameters are set as state variables, the transformation equations of image coordinate to the world coordinate are set as the measurement equations, and we let the observed feature points' image coordinates and corresponding world coordinates as the input of the filter. Experimental results confirmed that the proposed method with high precision. Index Terms - camera calibration, GPS coordinate, EKF, world coordinate error
Being Realist about Bayes, and the Predictive Processing Theory of Mind

Some naturalistic philosophers of mind subscribing to the predictive processing theory of mind have adopted a realist attitude towards the results of Bayesian cognitive science. In this article, we argue that this realist attitude is unwarranted. The Bayesian research programme in cognitive science does not possess special epistemic virtues over alternative approaches for explaining mental phenomena involving uncertainty. In particular, the Bayesian approach is not simpler, more unifying, or more rational than alternatives. It is also contentious that the Bayesian approach is overall better supported by the empirical evidence. So, to develop philosophical theories of mind on the basis of a realist interpretation of results from Bayesian cognitive science is unwarranted. Naturalistic philosophers of mind should instead adopt an anti-realist attitude towards these results and remain agnostic as to whether Bayesian models are true. For continuing on with an exclusive focus and praise of Bayes within debates about the predictive processing theory will impede progress in philosophical understanding of scientific practice in computational cognitive science as well as of the architecture of the mind.
Genotype x Environment Interaction and Yield-Stability Analyses of Rice Grown in Tropical Inland Swamp

Twelve rice varieties were cultivated in inland hydromorphic lowland over a four year-season period in tropical rainforest ecology to study the genotype x environment (GxE) interaction and yield stability and to determine the agronomic and environmental factors responsible for the interaction. Data on yield and agronomic characters and environmental variables were analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI), Genotype and Genotype x Environment Interaction, GGE and the yield stability using the modified rank-sum statistic (YSi). AMMI analysis revealed environmental differences as accounting for 47.6% of the total variation. The genotype and GxE interaction accounted for 28.5% and 24% respectively. The first and second interaction axes captured 57% and 30% of the total variation due to GXE interaction. The analysis identified ‘TOX 3107’ as having a combination of stable and average yield. The GGE captured 85.8%of the total GxE. ‘TOX 3226-53-2-2-2’ and ‘ITA 230’ were high yielding but adjudged unstable by AMMI. These two varieties along with ‘WITA 1’ and ‘TOX 3180-32-2-1-3-5’ were identified with good inland swamp environment, which is essentially moisture based. The two varieties (‘TOX 3226-53-2-2-2’ and ‘ITA 230’), which were equally considered unstable in yield by the stability variance, ? 2i, were selected by YSi in addition to ‘TOX 3107’, ‘WITA 1’, ‘IR 8’ and ‘M 55’. The statistic may positively complement AMMI and GGE in selecting varieties suited to specific locations with peculiar fluctuations in environmental indices. Correlation of PC scores with environmental and agronomic variables identified total rainfall up to the reproductive stage, variation in tillering ability and plant height as the most important factors underlying the GxE interaction. Additional information from the models can be positively utilized in varietal development for different ecologies.
Comparative Genomic and Proteomic Phylogenetic Analysis of Indian Isolate of Partial Coat Protein Gene Sequence of Zucchini Yellow MosaicVirus (ZYMV) Using Data Mining

A viral disease was identified on summer squash (Cucurbita pepo L.) plants in the hill state of Himachal Pradesh located in the North Western Himalayan regions, showing symptoms like mosaic, yellowing, shoe stringing of leaves and stunting of plants and infection at early stage of crop could cause as much as 94 per cent reduction of marketable fruits of summer squash. In the present study the causal virus was identified and characterized on the basis of ELISA, RT-PCR and Phylogeny. Partial CP gene was amplified and sequenced. For phylogenetic studies 67 nucleotide and 67 polyprotein sequences of ZYMV belonging to different countries were retrieved from NCBI. Phylogenetic analysis based on nucleotide and protein sequences of each country using Maximum Likelihood (ML), Neighbor Joining (NJ), Maximum Parsimony (MP) and Unweighted Pair Group Method of Arithmetic Averages (UPGMA) methods were achieved via phylip 3.68 and EXOMETM HORIZON, which revealed 91% similarity of the test virus nucleotide sequence with USA ZYMV CP sequence (D13914) and 75.9% similarity with partial polyprotein sequence of Japan (BAE75935).
Industrial Cluster, Similarity, and External Economies

This paper develops a simple model in which external economies are caused by interconnectedness among firms in intracluster and intercluster. Two main results are developed. First, the larger the elasticity of substitution between any two products produced within the cluster, the larger the cluster’s output; second, a cluster with larger elasticity of substitution yields larger output among different clusters other things being equal.
A critical analysis on intrusion detection techniques

An intrusion detection system (IDS) is an application platform that records system fuss for malicious activities and management of these activities. It is a malicious attack identification technique. It allows identifying Denial of service (DoS), User to root (U2R), Remote to login (R2L) and Probe attack. There are several communication mechanism are rely on the networking today so the need of data security is important concern. The main aim of this paper is to focusing on improving attack detection rates. For this we have analyzed the KDD intrusion detection dataset. The main method for approaching this detection and analysis are data mining and optimization techniques for this study.
Seabed substrate, water depth and zooplankton as determinants of the prespawning spatial aggregation of North Atlantic herring

The distribution of a pelagic species, the North Sea herring Clupea harengus L. , derived from acoustic surveys during the summer and prior to spawning is shown to have a strong relationship to seabed substrate and water depth. Substrate information was derived from a remote acoustic classification technique (RoxAnn). Herring were shown to aggregate in areas characterised by a seabed of sand and gravel. This type of substrate is sim~lar to that on which they spawn, yet the surveys were carried out 2 to 3 mo prior to spawning. The herring also showed a preference for zooplankton-rich waters with depths between approximately 100 and 150 m. These relationships were examined during 3 years (1992, 1994, 1995) using Generalized Additive Models (GAMs) and were found to be stable between the years examined. Results lndlcate a robust relationship between spatial distribution patterns and these environmental factors, despite substantial changes in the stock level and age structure of the population. A multiyear GAM analysis confirmed the stability of this relationship and the stock's reduction. Herring preferences for specific substrate types, water depth zones and zooplankton conditions are hypothesized to modulate the prespawning spatial aggregation of the species to potentially suitable spawning grounds.
Management of Seldom Used Items

Reducing wastes has been introduced to big companies and SMEs, and it has become more and more important. Sustainable operations management is a comprehensive management of companies, including all the management of production, employees training, warehousing, quality and so on. In this thesis, an attempt was made to achieve the goal of reducing the wastes, and even to prevent the materials or services from being wasted at Fluidhouse Oy. Materials control problems at Fluidhouse, Oy were recognized, and the need for developing the current situation was essential in order to improve the competitiveness of the company. The problem was how to deal with zero turnover items, and the aim was to find the fundamental reasons behind the problem in order to prevent it from happening in the future. The project of dealing with the problem started at the end of April, 2012. There was no significant benefit achieved in one month, but several items were re-engineered. There will be even more items that can be used again in the future. This is not the only way to deal with zero turnover items; selling them to others is another approach as well. To prevent the problem from happening, the production strategy of Fluidhouse should be taken into consideration. JIT production can be implemented in the company. In addition, to improve the overall competitiveness of the company, also TQM has to be focused on.