Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutrient and fatty acid composition of the flesh of oil sardine ( Sardinella longiceps ) and Indian mackerel ( Rastrelliger kanagurta ) from Hadhramout coast of the Arabian Sea , Yemen

The current study was conducted to evaluate the nutritional characteristics (moisture, protein, lipids, ash and fatty acid composition) of the flesh of oil sardine (Sardinella longiceps) and Indian mackerel (Rastrelliger kanagurta) caught from Hadhramout coast of the Arabian Sea. The protein content was 21.6% and 18.1% (wet weight basis) for mackerel and sardine, respectively. The lipid content was much higher in sardine (10.1%) compared with mackerel (1.7%). The fatty acid composition showed that total saturated fatty acids had the highest relative value (37.5%) among other fatty acid groups in the flesh lipids of sardine, followed by polyunsaturated fatty acids (29.9%) and monounsaturated fatty acids (23.4%). In mackerel, polyunsaturated fatty acids was present at 37.4%, followed by saturated fatty acids (36.7%) and then monounsaturated fatty acids (14.3%). The majority of polyunsaturated fatty acids in both fish were deposited as omega-3 (89.8% in sardine and 87.9% in mackerel), of which docosahexaenoic acid and eicosapentaenoic acid were the most abundant. In conclusion, oil sardine and Indian mackerel which are locally available and affordable fish in Yemen can be considered valuable sources of nutrients particularly protein and health-beneficial omega-3 long chain polyunsaturated fatty acids.
Triple Regime Stochastic Volatility Model with Threshold and Leverage Effects

This study considers a new stochastic volatility model, in which the sign and magnitude of stock returns play roles in explaining a substantially detailed relationship between stock returns and volatility. The proposed model allows for threshold and leverage effects, and accommodates three regimes (i.e., large negative return; mid-range, including moderate negative and positive returns; and large positive return) to better capture the time-varying aspect of the leverage effect. Applications of the proposed model on the return series of the S&P 500 Index and Microsoft Corporation suggest that the relationship between stock returns and volatility depends on the magnitude of the returns and their signs. The comparison of the deviance information criterion for various stochastic volatility models reveals a good fit of the proposed model for the data.
Efficient phosphopeptide identification from Tandem Mass Spectra

Motivation Phosphorylation is a chemical reaction taking place into the cell, in which a phosphate group is added by a protein kinase to the amino acids serine, threonine and tyrosine of a protein increasing their molecular mass. Identification of phosphorylated peptides, called also phosphopeptides, is an interesting issue in proteomic, due to their implication in both normal and pathological conditions [1]. Tandem Mass Spectrometry (MS/ MS) coupled with liquid chromatography (LC) is the most widely used approach to study phosphorylated proteins. MS/MS is used to measure, with high precision, the mass charge ratio (m/z) of charged molecule. The output of MS/MS is the representative mass spectrum of each peptide analyzed, i.e. a list of all m/z values of the ions generated from the fragmentation of the peptide with their intensity. Although there are many software tools in the literature able to perform MS/MS identification, phosphopeptide MS/MS spectra still require manual interpretation. This step represents the main bottleneck of the analysis in terms of time and reliability of the obtained results, because of the large amount of data generated with mass spectrometer and of the complexity of the signals acquired.
Defining Source Selection and Celestial Reference Frame Stability

The celestial reference frames are conceptually materialized by point-like sources with no motion on the sky. But with the accuracy of our observations increasing, to fulfill those conditions becomes more and more difficult. In this study, we first present the danger of taking into account unstable sources in the set of defining sources of a celestial reference frame. Then, based on a previous study where we classified radio sources observed by Very Long Baseline Interferometry with respect to their position stability using a statistical tool called Allan Variance (see “Source Characterization by the Allan Variance”, this volume), we constructed several celestial reference frames by choosing sets of defining sources using the new classification. We studied the stability of the frames in three ways: (1) statistically and temporally, (2) inspired by Lambert [6], and (3) using Earth precession-nutation as a stability indicator, as it was not done before.
Gene ontology based functional analysis and graph theory for partitioning gene interaction networks

Exploring gene-disease associations improves the understanding of the underlying cause of the disease, which leads to further improvements in the diagnosis and treatment. Since genes that belong to the same topological, functional or disease module has an increased tendency of being involved in the same disease or phenotype, cluster analysis is the efficient approach to identify functionally similar genes. The aim of this work is to identify biologically relevant gene clusters using graph theory, which is an essential and influential scientific tool for modeling and exploring interconnected groups. The current work exhibits a computationally efficient algorithm for improving the performance of community detection in graphs using edge pruning techniques. The algorithm does not demand a priori judgment on the size of communities; it helps in automatic detection of gene communities with better performance. The optimized and streamlined approach is applied on cancer dataset and is compared and validated with standard clustering solutions using different validation measures.
RESPONSE OF PAPAYA PLANTS TO SOME CHEMICAL SUBSTANCES AND YEAST EXTRACT TREATMENTS

This study was carried out at experimental farm, f aculty of Agriculture Moshtohor during 2002 /2003 and2003/ 2004 seasons. Seeds of papaya Solo c ultivar were soaked for 12 hours in : 1Tap water as control treatment. 2Sodium benzoate at 0.1 and 0.2 g. /L. 3Citric acid at 1.0 and 2.0 g. /L. 4Glucose at 10 and 20 g. /L. 5Yeast extract at 250 and 500 ml. / L Also, plants were sprayed with same solutions twice : after complete germination and after transplanted into orchard. Germination parameters, vegetative growth, flowering and fruiting were studied. Anatomical studies of flowers and fruits w ere conducted. Results obtained could be summarized as following: The treatments with yeast extract and citric acid gave the highest values of germination parameters(germination percentage, germination rate and germination value). The vigorous vegetative growth was obtained with treatment of yeast extract followed by citric acid. The treatments with yeast extract or glucose improved leaves photosynthesis p igments content. The most important results of this study was that number of branches per plant, number of female flowers per plant and pollen grains fertility significantly increased and reduced time r quired attain blooming in case of yeast extract treatments. As for yield and physical and chemical fruit quality, treatments of yeast extract followed by glucose gave highest values for different quality c haracteristics. As for the anatomical, several alternations were ex ist d with different applied treatments. All treatments gave the highest parameters of petiole f lower (cross & longitudinal sections) and fruit ana tomy compared with the control the best treatments was y e t extract followed by citric acid .
Based Image Retrieval Incorporatinggeneralized Multi-Instance ( Gmi ) Learning And Bag-Based Reranking

---This paper incorporates two newschemes called Generalized Multi-Instance (GMI) Learning and Bag-Based Rerankingfor large-scale TBIR. It has two key steps: first, cluster relevant images using both textual and visual features. Instead of directly reranking the relevant images by using traditional image reranking methods, we have partitioned the relevant images into clusters. By treating eachcluster as a “bag” and the images in a bag as “instances. ” second, To facilitate (G)MI learning in our framework, we have proposed an automatic bag annotation method to automatically find positive and negative bags for training classifiers. To demonstrate the effectiveness of the proposed method, wecompare the performance of the proposed method with other existing ones like SIL-SVM, mi-SVM. The experimentalresults show that the proposed method is usually better than the others.
Local Government Spending and Economic Growth in Guangdong: The Key Role of Financial Development

This paper investigates how financial development shapes the relation between local government spending and regional economic growth by applying the GMM technique on dynamic panels. Using panel data of 21 prefecture-level cities in Guangdong for the period 2000-2015 and after considering the financial development for each region, our findings show that local government spending and regional economic growth have a significantly positive relationship, which supports Wagner’s Law. However, the level of financial development may mitigate the positive relation between government spending and economic growth, but the impact of financial development is different for Pearl River Delta and non-Pearl River Delta.
Does the eltrompobag treatment safe or effective for refractory chronic immune thrombocytopenia patients ?

Background: Immune thrombocytopenia (ITP) is a heterogeneous autoimmune disorder characterized by immune-mediated platelet destruction and reduced platelet production. As the pathophysiology of the disease got clear, thrombopoietin receptor (TPO-R) agonists have been preferred in recent years, which seems to be an effective option in the treatment of resistant cases. Eltrombopag, a TPO-R agonist, is a second or third line medical treatment option for adults with chronic ITP. Objective: To determine the efficacy and safety of long-term eltrombopag treatment in treatment-refractory patients with primary ITP was the aim of this study. Materials and Methods: Retrospective data of 34 patients with refractory ITP who were treated with eltrombopag were examined. Efficacy and safety of the eltrombopag treatment was evaluated. Results: The total rate of response was 82%, and the median duration of response defined as the number of the platelets being over 50×109/L was 14 (interquartile range: 7-28) days. In two patients, thrombosis was observed with no other additional risk factors due to or related to thrombosis. Conclusion: In spite of the fact that the responses to eltrombopag were satisfactory, patients need to be monitored closely for increasing platelet counts as well as thromboembolic events.
Evaluation of technological properties of Leuconostoc mesonteroides ( V 1 ) strain isolated from Algerian goat ’ s milk

This study was to evaluate probiotic characteristics by in vitro tests of Leuconostoc mesonteroides strain (V1) isolated from Algerian goat’s milk collected from El Bayadh which is located in the west of Algeria. This strain V1 were identified by phenotypic and biochemical methods, were tested for their antimicrobial activity against Staphylococcus aureus, Listeria innocua, Listeria ivanovii and was evaluated for certain properties relevant to probiotic including : acid pH, bile salts, pepsin resistance, hemolytic activity and antibiotics sensitivity. The results revealed the strain V1 showed antagonistic activity against Staphylococcus aureus, Listeria innocua and Listeria ivanovii, due to a production of proteinous nature substances.The strain were resistant to pH 3 and 4, bile salts at 0.5%, 1% and 2% and pepsin at pH 3. Was γhemolytic and was susceptible to four antibiotics : Chloramphenicol, pristinamycin, Clindamycin and Licomycin. Leuconostoc mesonteroides strain V1 showed desirable properties as potential probiotic strains, which can be considered the strain V1 as suitable probiotic candidate.
Source Compatibility for Java Packages

Software libraries and platforms should often evolve in a way that existing client code is not affected. As a prerequisite, client code that compiles against the original version of the libraries should also compile against the modified version. In such a case, we call the new version source compatible with the old one. For languages with elaborate static encapsulation mechanisms like Java, source compatibility is a complex property and checking tools do not exist. This paper defines source compatibility for packages of a formalized Java subset with all relevant access modifiers. As the definition quantifies over all possible client contexts, it cannot be used for automatic checking. We thus derive statically checkable conditions for compatibility that are proved necessary and sufficient. Such checkable conditions give interesting insight into the encapsulation of Java packages, allow to discuss language and program design aspects and provide the basis for package-local refactoring tools.
2 Data source formal model 2 . 1

We present a novel methodology for manipulating sources in a knowledge integration scenario. First we define and exploit an appropriate data model for representing and querying the data sources. Second we propose a structured integration methodology which combines views on the sources without having to align their background knowledge. Our work it provides a novel approach to integration via “materialized views”, it frees the system from having to align the sources itself — as in traditional integration systems — and it benefits from graph mechanisms that are used in a formal manner.
Deforestation pattern characterization in the Brazilian Amazonia

The characterization of landscape objects can vary when considering different spatial resolution and different deforestation patterns in the Amazonia. Therefore, this paper aims to evaluate the effects of spatial resolution and different deforestation patterns on the performance of landscape metrics. Deforestation maps from MODIS (250m) and TM (30m) sensors were used in this study. The experiments were performed in the region called “Terra do Meio”, in São Félix do Xingu Municipality, Pará State in three different test areas for the same landscape metrics set. The results have shown, with good accuracy, that one can use similar landscape metrics sets, extracted from coarser spatial resolution images, to characterize landscape objects extracted from higher spatial resolution images and viceversa.
Higher Education Expansion and Intergenerational Mobility in Contemporary China

There has been a convergence in educational achievements between children from upper-class and middle-class families in contemporary China. The convergence in occupational status across these two groups is even faster as occupational returns to education vary between children from different social classes. In this paper, I relax the single-factor model of intergenerational mobility in the literature and estimate the cross-partial effects between children’s education and their family background on children’s occupational status to explore if these two factors are substitutes or complements. Occupational status is measured by the widely-accepted ISEI scaling system ranging from 16 to 90 points. I take advantage of an exogenous college expansion policy in 1999 as a natural experiment to account for the possible endogeneity of education. Having an additional year of schooling increases the expected ISEI scores by 1.644 points (4.024 points) in OLS (Instrumental Variable) regressions in their first occupations. Having a father with a middle-class occupation, compared with having a father with an upper-class job, provides an additional advantage of 0.684 points (2.582 points) along the ISEI scale in OLS (Instrumental Variable) regressions. This indicates that the occupational returns to education are larger among middle-class children, compared with their upper-class counterparts, which stimulates the intergenerational mobility of middle-class children. However, this advantage diminishes if status attainment in the current occupation rather than the first occupation is considered.
ASSESSMENT OF SEISMIC HAZARD FOR JORDAN

Previous probabilistic seismic hazard analysis (PSHA) studies conducted for Jordan were all based on the classical PSHA model, in which earthquake magnitudes are assumed to exhibit an exponential distribution. However, it is observed that the exponentially distributed magnitude models may underestimate the recurrence rate of large magnitude earthquakes on individual fault segments. In this study, up-to-date information available on the seismic source zones and faults are utilized for the assessment of seismic hazard in Jordan. The classical PSHA model is taken as the basic model. However, as an alternative to the exponential magnitude distribution, the characteristic earthquake model 1, 2 is also considered. The seismic hazard model presented in this study is applied to assess the seismic hazard at different cities in Jordan, and the results are compared with those of the previous studies. Seismic hazard maps in terms of peak ground acceleration and spectral acceleration for a period of 0.2 s are also presented for a return period of 475 years.
IMPROVING CLASSIFICATION WITH COMBINED CLASSIFIERS

Nowadays there is a great amount of classifiers. Nevertheless, the results of these do not always satisfy the requirements of the application; for example, it would always be desirable to have zero errors. In order to try to get better results than those obtained with individual classifiers, a cooperation of them was proposed; trying to approach the concept of optimal classifier. However, the improvement does not occur systematically. So, in this work the concept of cooperation of classifiers, or combined classifiers, is analyzed and some remarks are made concerning the real improvement of the classification when we use different databases.
“ What to Run on ? ” : Candidate Electoral Platforms in Peru

Do local political candidates run on common policy issues, their party’s platform or an agenda of their own? In this paper, we study whether and how local candidates differ in their stated policy priorities. For this purpose, we construct a novel and rich dataset of all electoral platforms presented by mayoral candidates in Peru. We identify policy priorities or issue salience by analyzing the frequency of sub-strings linked to specific local issues. We complement this data with individual-level data on the characteristics of local candidates. Our results show that local government plan proposals exhibit significant variation across localities and party types. District and party fixed effects can explain up to 50% of the variance in issue frequency. Perhaps surprisingly, amid a weak party system, candidate characteristics have a lower ability to explain differences in policy priorities. These results are important as a first step in understanding how local electoral platforms affect economic and political outcomes. ∗Makarin: Northwestern University, Department of Economics, 2001 Sheridan Road, Evanston, IL 60208, USA. Email: alexey.makarin@u.northwestern. edu. Pique: Northwestern University, Department of Economics. Email: rpique@u.northwestern. edu. We are grateful to Lori Beaman, Georgy Egorov, Seema Jayachandran and Nicola Persico for their helpful comments.
Towards the Implementation of an Intelligent Software Agent for the Elderly

With the growing population of the elderly and the decline of population growth rate, developed countries are facing problems in taking care of their elderly. One of the issues that is becoming more severe is the issue of companionship for the aged people, particularly those who chose to live independently. In order to assist the elderly, we suggest the idea of a software conversational intelligent agent as a companion and assistant. In this work, we look into the different components that are necessary for creating a personal conversational agent. We have a preliminary implementation of each component. Among them, we have a personalized knowledge base which is populated by the extracted information from the conversations between the user and the agent. We believe that having a personalized knowledge base helps the agent in having better, more fluent and contextual conversations. We created a prototype system and conducted a preliminary evaluation to assess by users conversations of an agent with and without a personalized knowledge base.
Study on Temperature Measurement Using MRI during Acupuncture and Moxibustion

SUMMARY In the field of traditional oriental medicine, two types of treatment style, which are acupuncture treatment and moxibustion treatment, have been performed. These treatments are used and effected by doctors or acupuncturists in their clinic or hospital and widely spread. Although such a general treatment, mechanism of heat transfer modality and temperature distribution in the treatment of moxibustion is not deeply discussed. Also, temperature distribution of deep human tissue during acupuncture treatment is not discussed. It is derived from the difficulty of noninvasive measurement of internal human body with small change of electromagnetic wave signals noninvasively. In this study, a temperature distribution for acupuncture and moxibustion treatment is measured and analyzed using thermography and MRI by measuring the phase of longitudinal relaxation time of protons. The experimental results of measured temperature distribution under the human legs have been demonstrated. The result of temperature analysis in the human body is also reported.
eedback enhances the security of wiretap channel with states

Wyner, in his well-known paper on the wiretap channel, studied the problem on how to transmit the confidential messages to the legitimate receiver via a degraded broadcast channel, while keeping the wiretapper as ignorant of the messages as possible. In this paper, the model of wiretap channel has been reconsidered for the case that the main channel is controlled by channel state information (CSI), and it is available at the transmitter in a noncausal manner (termed here noncausal channel state information) or causal manner (termed here causal channel state information). Moreover, there is a noiseless feedback from the legitimate receiver to the transmitter. Measuring the uncertainty of the wiretapper oiseless feedback ecrecy capacity by equivocation, the capacity-equivocation regions for both manners (causal and noncausal) are determined. Furthermore, the secrecy capacities are formulated, which provide the best transmission rate with perfect secrecy. The results of this paper are further explained via binary and Gaussian examples, and we find that the noiseless feedback helps to enhance the security of wiretap channel with noncausal or causal CSI at the transmitter. © 2015 Elsevier GmbH. All rights reserved.
SEGMENTING TV SERIES INTO SCENES USING SPEAKER DIARIZATION

In this paper, we propose a novel approach to perform scene segmentation of TV series. Using the output of our existing speaker diarization system, any temporal segment of the video can be described as a binary feature vector. A straightforward segmentation algorithm then allows to group similar contiguous speaker segments into scenes. An additional visual-only color-based segmentation is then used to reﬁne the ﬁrst segmentation. Experiments are performed on a subset of the Ally McBeal TV series and show promising results, obtained with a rule-free and generic method. For comparison purposes, test corpus annotations and description are made available to the community.