Miracle-dz/UniFAR-FTUs huggingface dataset:
PROPERTIES OF AMYLOSE-LIPID COMPLEXES FROM DIFFERENT WHEAT VARIETIES HARVESTED IN DIFFERENT YEARS OSOBINE AMILAZNO LIPIDNOG KOMPLEKSA RAZLIČITIH SORTI

Samples of starch derived from three wheat varieties harvested in 2001, 2002 and 2003 were analyzed. Thermodynamic properties of amylose-lipid complexes (AML) formed in these starches and their dependence on weather conditions during wheat cultivation were determined. Dissociation and reassociation of AML and properties of their polymorphic forms were characterized by differential scanning calorimetry (DSC). It was found that starch samples derived from the same wheat variety but harvested in different years had different composition. Also enthalpies of dissociation and reassembling of their AML and shapes of peaks observed during cooling of starch slurries were different and depended on the year of wheat culture. We concluded that environmental conditions during wheat growth have a significant effect on starch properties.
Deep-space Optical Terminals (DOT) Systems Engineering

The research described in this publication was carried out by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. © 2010 California Institute of Technology. Government sponsorship acknowledged. Recently a conceptual design study titled Deep-space Optical Terminals (DOT) was completed for a deep-space optical communication technology demonstration in the 2018 timeframe. This article provides an overview of the system engineering portion of the study. The Level 1 requirements received from the NASA Space Communications and Navigation Program Manager emphasized an order of magnitude higher data rate from Mars closest range relative to the Ka-band telecommunication system flown on the Mars Reconnaissance Orbiter (MRO) mission but utilizing comparable mass and power. The system-level concept design motivated by this driving requirement and reported here describes link performance of 267 Mb/s from 0.42 AU within an allocated mass and power of 38 kg and 110 W. Furthermore, the concept design addresses link closure at the farthest Mars range of 2.7 AU. Maximum uplink data rates of 292 kb/s and ranging with 30-cm precision are also addressed.
H ∞∞∞∞ LOOPSHAPING USING GRAPHICAL LOOPSHAPING IDEAS

: This paper studies the design of robust controllers using a robust loopshaping approach, by selection of the weighted plant using graphical loopshaping ideas. The H ∞ Loop Shaping method is applied to calculate an optimal controller. The problem of choosing the desired shape of the open-loop transfer function needed by this method is addressed by considering the available uncertainty information and applying Graphical Loopshaping ideas. Thus, this methodology considers not only the robustness properties of the shaped plant, but also those of the real plant. Several examples show the advantages of using this approach. Copyright © 2002 IFAC
Assessment of Ovarian Follicles and Serum Reproductive Hormones in Molybdenum Trioxide Nanoparticles Treated Rats

Special features of nanoparticles have resulted in their widespread use. Small molybdenum trioxide (MoO 3 ) nanoparticles can translocate from the entry portals into the circulatory and lymphatic systems and ultimately to body tissues and organs dep ending on their composition and size. In this research, sixty Wistar rats weighting 180-250 g were divided into 6 groups (n=10) randomly: Group 1 (Control) did not receive any medicine. Group 2 (Sham) received intraperitoneal normal saline for 35 days on a daily basis. Groups 3, 4, 5 an d 6 received 50, 100, 200, and 300 mg/kg MoO 3 , respectively, the same way in the sham group and at the same interval. At the end of the experiment, the rats were weighted again and anesthetised. Then blood samples were taken from their hearts to determine the serum levels of estrogen , progesterone, and gonadotropins. Their ovaries were removed and ovarian volume, follicular diameter, number of each follicle type, and oocyte volume w re determined. Results indicated that MoO 3 nanoparticles strongly reduced body and ovarian weights in the rats. Moreover, a significant decrease was observed in ovarian volume, the number of follicle types, oocyte volume and follicular diameter. The nanoparticles increase d the number of atretic follicles via ovarian tissue structure. MoO 3 nanoparticles decreased serum estrogen level and increased serum level of FSH that was associated with disruption in the regulation of progesterone and LH secretion. The findings showed that MoO 3 n noparticles could bear negative effects on ovarian structure and function.
On the Transport of Urban Pollution in an Andean Mountain Valley

ABSTRACTUrban pollution can often impact surrounding, non-urban regions, through advection and dispersal of pollutants by the prevailing winds. Urban regions located upstream of high mountains, such as the Andes, can potentially impact the cryosphere by deposition of particles onto the surface of the snowpack and glaciers. Santiago, the capital of Chile, has more than 6 million inhabitants and regularly experiences episodes of severe pollution, particularly during the austral winter. Some studies have hypothesized that particle pollution from Santiago can reach the cryosphere downwind of the city, but the scarcity of measurements made high in the mountains prevents the validation of mesoscale models so the proof of actual impact remains elusive. A research project was designed to provide some insight into this question. The Pollution Impact on Snow in the Cordillera - Experiments and Simulations (PISCES) project was carried out in 2014 and includes both observational and modeling components. A five-week field campaign was conducted at the end of winter, at an elevated site in a mountain valley, 65 km to the southeast of the center of Santiago, to characterize some aspects of particulate pollution. During synoptic conditions that result in clear days at the site, the mesoscale mountain-valley circulation is effective in transporting pollutants upwards during the day, leading to diluted particle concentrations beyond the summits of the highest peaks. Cloudy days with reduced up-valley circulation do not show increased concentrations associated with transport. Back trajectories indicate that airmasses reaching the site during the field campaign are seldom influenced by pollution from Santiago.
Exploring the everyday designer

This paper discusses our preliminary analysis of how designer and non-designer participants discussed and engaged in design activity. For this research, we employed two design study experiments that included a total of forty-eight participants. In our preliminary findings we found differences between designers and nondesigners in how a design activity is analyzed. The more significant preliminary finding is that there were substantially less differences in how designers and non-designers engaged our design activity
ENDOPHENOTYPES IN SCHIZOPHRENIA: A CURRENT REVIEW AND SOME IMPLICATIONS ON THEIR ROLE AS TREATMENT TARGETS

Endophenotypes (or intermediate phenotypes) which have become increasingly popular in scientific research in the past decade are heritable abnormalities of the CNS structure and function (including neurocognitive and neurophysiological functions). If compared to established presence of illness, they may be much more closely linked to genetic variations associated with schizophrenia, which may be normally occurring polymoprhisms. Another advantage is their stability over time and the possibility for quantitative laboratory or neuroimaging-based measurement. The identification of endophenotypes that reflect genetic variations may also lead to refinement of diagnosis and better subtyping of the schizophrenic illness. Besides, endophenotypes may be detected in unaffected relatives and patients with subsyndromal or schizophrenia spectrum disorder, for whom specially designed targeted interventions may prove beneficial for overall functioning. Deficits of a number of neurocognitive and neurophysiological measures such as sustained focused attention, verbal declarative memory, working memory, antisaccade visual task performance, prepulse inhibition (PPI), suppression of the P50 auditory evoked potential and some others seem closely related to predisposition to the illness and therefore, may serve as promising endophenotypes. Below is a quick review of some of the most consistent findings in this field. Finally, an example is given of an emerging treatment augmentation strategy that addresses a presumptive endophenotype of schizophrenia associated with a specific genetic locus on chromosome 15, containing the promoter and gene for the α subunit of the nicotinic 7
Phosphatidylinositol Bisphosphate Mediated Sorting of Secretory Granule Cargo

Every cell must sort and transport proteins. This is true for soluble proteins as well as proteins that are in membranes, each of which need to be directed to appropriate subcellular or extracellular destinations in order to perform their essential functions. In eukaryotes, selective trafficking contributes to maintaining the different compositions of different membranes such as apical and basolateral plasma membranes, as well as directing appropriate proteins to lysosomes, endosomes, multivesicular bodies, or other intracellular compartments. The normal physiology of the cell is critically dependent on selective trafficking of proteins and membranes between different transport pathways within the cell. Other chapters in this book focus on the mechanics of transporting cargo membranes, including the molecular aspects of vesicle fusion to specific target membranes. This chapter will focus on the importance and mechanisms of sorting luminal cargo into different pathways, i.e., the “selective” aspect of selective trafficking, particularly with respect to exocrine secretion.
Three-dimensional laser window formation for industrial application

The NASA Lewis Research Center has developed and implemented a unique process for forming flawless three-dimensional, compound-curvature laser windows to extreme accuracies. These windows represent an integral component of specialized nonintrusive laser data acquisition systems that are used in a variety of compressor and turbine research testing facilities. These windows are molded to the flow surface profile of turbine and compressor casings and are required to withstand extremely high pressures and temperatures. This method of glass formation could also be used to form compound-curvature mirrors that would require little polishing and for a variety of industrial applications, including research view ports for testing devices and view ports for factory machines with compound-curvature casings. Currently, sodium-alumino-silicate glass is recommended for three-dimensional laser windows because of its high strength due to chemical strengthening and its optical clarity. This paper discusses the main aspects of three-dimensional laser window formation. It focuses on the unique methodology and the peculiarities that are associated with the formation of these windows.
Deep Dish : Deep Learning for Classifying Food Dishes

We consider the problem of classifying food dishes. Food items have unique characteristics they come in different colors and shapes, can be clustered into groups (e.g. fruits, vegetables), and can be combined in several ways to prepare a meal etc. This makes images of food dishes particularly interesting to classify. We show that convolutional neural networks are quite suitable for this task, and outperform traditional machine learning approaches in classifying food dishes.
USING MACHINE LEARNING METHODS TO SUMMARIZE PERSIAN TEXTS

Automatic text summarization is a process to reduce the size of text document using a computer program in order to create a summary of text retaining key points in document. Since information keeps increasing and data has been increased, automatic text summarization is practical method desired. This method helps to summarize Information contained in a text file with preserving the original contents in the meaning. Summarize large documents is strongly difficulty. One of the problems existing today is the very websites arisen rapid growth and high volume data whereby this can increase the necessity of strong and complicated summarization to reduce data volume and increase speed of access. Technology has provided this possibility to build a cohesive summary given the Length, style of writing and writing style. For instance, Google search engine uses this possibility.
On the Effect of the Implementation of Human Auditory Systems on Q-Log-Based Features for Robustness of Speech Recognition Against Noise

Mimicking human auditory systems as well as applying mean normalization in feature extraction are widely believed to improve the robustness of speech recognition. Traditionally, the normalization is conducted in the log domain by subtracting the features with their long-term mean. Some studies have found that the use of power functions instead of log yield more robust features. In previous studies, a q-logarithmic function (q-log), which is also a power function, was used to derive a normalization method. The method, called qmean normalization (q-MN) in this paper, was found more effective than conventional normalization methods. In these works, q-MN was still applied in the power spectral domain. Here, the method is applied after mapping the power spectra on human auditory systems, and, after an analysis on the effect of the method on noisy speech, we propose a blind and adaptive normalization technique to determine a suitable q in q-MN. The experiments show that the proposed features are more robust than conventional features such as MFCC. The results also confirm that using nonlinear resolutions inspired by human auditory systems benefits speech recognition and is better than using a uniform resolution.
Microsoft PowerPoint - 2007 Prion poster - 4.ppt

The authors would like to thank PrioNet Canada for the opportunity to present these findings, the authors of the AGADIR method for providing their software, and NSERC Canada for their financial support. Acknowledgements and References Prion protein misfolding is responsible for the Transmissible Spongiform Encephalopathies (TSE) [1]. Experimental investigations suggest that the pathogen of prion diseases is characterized by the unfolding of normal prion (PrPC) followed by misfolding into an infectious scrapie isoform (PrPSc) [2]. We present novel in-silico results that identify potential factors that predispose PrPC to misfold into PrPSc using computational methods. In-silico exploration of possible factors involved in the misfolding process is a crucial first step in understanding and (eventually) treating TSEs, as the number of possible factors is literally astronomical. In-silico techniques identify candidate factors for further wet-lab investigations, providing an enormous gain in efficiency compared to manual wet-lab searches through all the possible factors. Background and Motivation
ESTUDIO DE FACTIBILIDAD PARA LA MIGRACIÓN DEL SISTEMA MÓVIL UMTS/HSPA A LTE

The principal objective of this article is to analyze the access techniques WCDMA, OFDMA and SCFDMA, to further understand the architecture of UMTS/HSPA and LTE, in order to establish mechanisms for an operator can to migrate from UMTS/HSPA to LTE, considering the network and the spectrum.
Toffee - Semantic Media Search Using Topic Modeling and Relevance Feedback

Powered by TCPDF (www.tcpdf.org) This material is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Koho, Mikko; Heino, Erkki; Oksanen, Arttu; Hyvönen, Eero
School Administrators Strategies for Combating Corruption in Universities in Nigeria.

The purpose of this study was to examine corruption in universities with the aim of finding out the types/forms, causes, effects and measures for combating the menace. Four research questions guided the investigation. The study is a survey research, ex-post facto in nature. A sample of 780 comprising of students, academic staff and administrative staff was selected through random sampling technique from six public universities in Nigeria. Data collected through the questionnaire was analyzed using descriptive statistics. Findings revealed that the types of corruption prevalent in universities are examination related, admission related, finance related, accreditation related and sexual related. Each of these types of corruption has different forms of manifestations. The causes of corruption in universities included greed, lack of fear of God, and the desire to get rich quick. The effects of corruption and measures for combating it were identified. The study concluded by recommending among others that all stake holders in university education should have a moral reorientation and begin to reverence God by fearing him to help sanitize the universities and create a corruption free learning environment in the university system.
BRIEF COMMUNICATION: The effect of milk allowance on performance of dairy calves

Introduction Restricted milk diets increase and hasten the onset of solid feed intake in milk-fed calves (de Passillé et al., 2011) and facilitate the weaning of calves, which reduces the growth check during weaning in comparison to ad libitum fed calves (Huuskonen & Khalili, 2008). As a consequence, dairy calves are commonly fed a restricted milk allowance of approximately 10% of a calf’s BW (approximately 4 to 6 L of milk/d; e.g. Vasseur et al., 2012). However, calves fed a restricted amount of milk (10% of BW) show increased behavioural signs of hunger like non-nutritive visits to the milk feeder (Rushen & de Passillé, 1995) and less growth pre-weaning when compared with calves fed more milk (Khan et al., 2007). Indeed, a growing body of research has consistently shown that calves fed more milk exhibit greater BW gains before weaning (see review by Khan et al., 2011). The aim of this study was to identify the effect of feeding 6 or 12 L/d of milk on average daily gain (ADG) and final body weight (BW) after weaning when using a gradual, step-down weaning method.
Prevalence and pattern of antibiotic resistance of gram-negative bacteria isolated from urinary tract infections in patients referring to Neka laboratories-Iran

Introduction: Urinary tract infection (UTI) is one of the most common bacterial infections. Increased drug resistance has identified the need to evaluate antibiotic resistance patterns to improve experimental therapy. The aim of this study was to identify bacterial agents and determine their drug resistance pattern in patients referring to the Neka diagnostic laboratories. Methods: This descriptive cross-sectional study was conducted from December 2016 to April 2017 in patients referred to the Neka Diagnostic Laboratories. Morphological study and identification of isolated bacteria by using hot dyeing and differential biochemical tests were performed. Antibiotic resistance of bacteria was determined by Disc diffusion method in Muller Hinton Agar medium. Results: Of the 573 patients, the most commonly isolated bacteria in the urine included 258 isolates of Escherichia coli (45%), 69 isolates of Enterobacter (12%), 18 isolates of Klebsiella (3.14%), and 7 Pseudomonas isolates (1.22%). Escherichia coli isolates showed the highest and lowest resistance, respectively, to Sulfamethoxazole (30.23%) and Norfloxacin (0.39%) and to the highest sensitivity to Gentamicin (56.59%). Conclusion: The results of this study indicate an increase in the resistance of the strains of E.coli to the Sulfamethoxazole and Ciprofloxacin antibiotics, which may be due to the overdose of these antibiotics. The report of antibiotic susceptibility to commonly occurring organisms in this area can be considered by physicians in experimental treatments.
Bioremediation strategies for oil polluted marine ecosystems

The marine environment is subject to contamination by organic pollutants from a variety of sources. Significant degradation of these compounds may take many years and it is frequently necessary to consider methods that can accelerate this process. While seeding with oil degraders have not convincingly demonstrated to be effective, addition of nitrogenous fertilizers has been documented to have increased rates of petroleum biodegradation. The prospects for enhanced biological degradation of petroleum organic compounds are reviewed in this paper. A conceptual framework that can be adapted for the development of techniques for dealing with oil pollution will be discussed. These include physical, chemical, and biological methods. A number of different technologies may fall into the category of biological methods. They include the use of straw or plant material as an absorbent for oil, biosurfactants to clean oiled surfaces, and the addition of materials to encourage microbiological biodegradation of oil. The present review addresses the progress that has been made in each of these aspects with particular emphasis on bioremediation.
Infrared Plasmonic Resonators Based on Self-Assembled Core–Shell Particles

Infrared resonators emerge as key elements of infrared optical devices demanded for widespread applications. Traditional resonators based solely on noble metals suffer from considerable ohmic losses, limited tunability, and low excitation efficiency of surface plasmons in the infrared region, while the alternatives made of high-refractive-index dielectrics encounter fabrication challenges and relatively weak optical coupling. This work presents the experimental demonstration of self-assembled plasmonic core–shell particle clusters exhibiting pronounced and spectrally tunable resonances at infrared, especially mid-infrared, wavelengths. It is shown that the reflection spectra of individual clusters are unique, which are determined by the number and configuration of the constituent particles. Simulation results confirm the measured data and further reveal the origin of the spectral features. These findings pave a new way for the development of complex resonators operating in the infrared region, leading to .
An Efficient Hybrid Multilevel Intrusion Detection System in Cloud Environment

Cloud Computing offers latest computing paradigm where application, data and IT services are provided online over the Internet. One of the significant concerns in Cloud Computing is security. Since data is exposed to many users, security and privacy have become the key issues of Cloud Computing. Intrusion Detection System (IDS) plays an important role to identify intrusions by monitoring the activity of the system and alert the user about malicious behaviours and detect attacks. To detect those attacks, several classification methods have been used till now. This paper deals with Intrusion Detection System by the method of classification. In this paper, KNN is applied as binary classifier for anomaly detection. Neural Network is applied for detecting abnormal classes after KNN classification. Before classification, feature selection has been used to select relevant features. For our experimental analysis, we have used NSL-KDD dataset where all samples of “KDDTrain+” used as training dataset and “KDDTest+” samples are used as testing dataset. We use Rough Set Theory and Information Gain to select relevant features. Experimental results show that, we get better accuracy with our proposed hybrid KNN_NN classifier model for Intrusion Detection.
Isospectral Riemann surfaces

We construct new examples of compact Riemann surfaces which are non isometric but have the same spectrum of the Laplacian. Examples are given for genus $g=5$ and for all $gge 7$. In a second part we give examples of isospectral non isometric surfaces in $bbfRsp 3$ which are realizable by paper models.