Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular markers for resistance against infectious diseases of economic importance

Huge livestock population of India is under threat by a large number of endemic infectious (bacterial, viral, and parasitic) diseases. These diseases are associated with high rates of morbidity and mortality, particularly in exotic and crossbred cattle. Beside morbidity and mortality, economic losses by these diseases occur through reduced fertility, production losses, etc. Some of the major infectious diseases which have great economic impact on Indian dairy industries are tuberculosis (TB), Johne’s disease (JD), mastitis, tick and tick-borne diseases (TTBDs), foot and mouth disease, etc. The development of effective strategies for the assessment and control of infectious diseases requires a better understanding of pathogen biology, host immune response, and diseases pathogenesis as well as the identification of the associated biomarkers. Indigenous cattle (Bos indicus) are reported to be comparatively less affected than exotic and crossbred cattle. However, genetic basis of resistance in indigenous cattle is not well documented. The association studies of few of the genes associated with various diseases, namely, solute carrier family 11 member 1, Toll-like receptors 1, with TB; Caspase associated recruitment domain 15, SP110 with JD; CACNA2D1, CD14 with mastitis and interferon gamma, BoLA-DRB3.2 alleles with TTBDs, etc., are presented. Breeding for genetic resistance is one of the promising ways to control the infectious diseases. High host resistance is the most important method for controlling such diseases, but till today no breed is total immune. Therefore, work may be undertaken under the hypothesis that the different susceptibility to these diseases are exhibited by indigenous and crossbred cattle is due to breed-specific differences in the dealing of infected cells with other immune cells, which ultimately influence the immune response responded against infections. Achieving maximum resistance to these diseases is the ultimate goal, is technically possible to achieve, and is permanent. Progress could be enhanced through introgression of resistance genes to breeds with low resistance. The quest for knowledge of the genetic basis for infectious diseases in indigenous livestock is strongly warranted.
Using Genetic Evolutionary Software Application Testing to Verify a DSP SoC

A digital signal processor (DSP) system-on-chip (SoC) can be designed using a variety of architectures and techniques. This often presents different verification challenges compared to conventional SoC or processor designs. Verification of such designs should take into account the goals and applications of the DSP, and how they are eventually used. This paper proposes an application based verification methodology and demonstrates this technique on a real-life DSP SoC design. Our technique employs a library of specially devised application functions as test building blocks, followed by a genetic evolutionary test generator to compose these application functions into effective test programs.
Using Similarity-Based Approaches for Continuous Ontology Development

This paper presents novel algorithms for learning semantic relations from an existing ontology or concept hierarchy. The authors suggest recommendation of semantic relations for supporting continuous ontology development, i.e., the development of ontologies during their use in social semantic bookmarking, semantic wiki, or other Web 2.0 style semantic applications. This paper assists users in placing a newly added concept in a concept hierarchy. The proposed algorithms are evaluated using datasets from Wikipedia category hierarchy and provide recommendations.
The GADD45A (1506T>C) Polymorphism Is Associated with Ovarian Cancer Susceptibility and Prognosis

GADD45A (growth arrest and DNA damage 45 A) is the first stress-inducible gene identified to be a target of p53. However, no studies to date have assessed variants of the GADD45 gene and their potential relationship to tumor susceptibility. We investigated the association of the GADD45A (1506T>C) polymorphism with ovarian cancer development in 258 ovarian cancer patients and 332 age-matched healthy women as controls using sequence analysis. We found a statistically significant difference in the GADD45A (1506T>C) genotype distributions between the case and control groups (TT vs. TC vs. CC, P = 0.0021) and found that variant 1506T>C was significantly associated with an increased risk of ovarian cancer (P<0.001, OR = 1.71, 95% CI [1.28–2.29]). We observed a statistically significant effect between tumor histology (P = 0.032) and CA125 status (P = 0.021). Carrying the C allele (TC+CC) was associated with an increased risk of positive CA125 (OR = 3.20, 95% CI [1.15–8.71). Carrying the T allele (TT+TC) showed a significant correlation with both higher GADD45A mRNA expression and longer ovarian cancer RFS (relapse-free survival) and OS (overall survival). We are the first group to demonstrate that the GADD45A (1506T>C) polymorphism is associated with ovarian cancer susceptibility and prognosis. These data suggest that GADD45A (1506T>C) is a new tumor susceptibility gene and could be a useful molecular marker for assessing ovarian cancer risk and for predicting ovarian cancer patient prognosis.
Performance Analysis of Iterative Receiver in 3GPP/LTE DL MIMO OFDMA System

This paper provides a link level study of a downlink B3G system using MIMO OFDMA techniques. A 3GPP/LTE- like scenario, in terms of frame structure and main system parameters is considered. We especially focus on the impact of iterative MIMO receiver implementation when transmitting via double Alamouti MIMO scheme. A performance analysis is carried out regarding to the channel coding scheme implementing into the iterative loop. Several scenarios have been considered (different modulation and coding schemes (MCS), real or perfect channel estimation . ) to quantify the gain provided by such iterative receivers.
Estructura factorial del inventario autodescriptivo del adolescente (IADA)

espanolSe presenta la consistencia interna y el analisis factorial del Inventario Autodescriptivo del Adolescente (IADA) a fin de ponderar su capacidad para evaluar factores de riesgo en diferentes dimensiones de la vida de un adoles- cente. Analisis preliminares, indican un 90% de acuerdo entre jueces en la ubi- cacion del 94.07% de los items. Participaron 1660 adolescentes estudiantes de ambos sexos con edad promedio de 15.19 anos, de escuelas publicas y privadas de ensenanza media y media superior de la Ciudad de Mexico. Se presenta una alpha global de . 90, y un analisis factorial con rotacion varimax con criterios de Kaiser-Meyer, con un total de 28 factores distribuidos en todas las dimensiones con valores que oscilaron entre . 86 y . 36 explicando un promedio 53.63% del total de la varianza global. La distribucion factorial del area familia resulto dife- rente entre el grupo de secundaria y el de preparatoria. Los datos parecen indi- car que el IADA es un instrumento confiable y valido para la deteccion de ado- lescentes en riesgo. (165 palabras) EnglishThis paper shows the factorial validity of the Adolescents’ Self-Descriptive Inventory (IADA), in order to establish its capacity to assess different dimen- sions of an adolescent’s life. Previous analyses showed 90% of concordance among judges in the 94.07 %of items, an alpha global . 90 rates for internal con- sistency analyses. The study included 1660 adolescents, girls and boys, aged 15.9 years old as an average, from public and private secondary and high scho- ol institutions in the metropolitan zone of Mexico City. A factorial analysis with varimax rotation was performed; it included Kaiser-Meyer standardization cri- teria. Factorial distribution shows 28 factors through the areas, with maximum loads/charges of . 86 and minimum loads/charges of . 36, which accounts for a 53.63% of total variance. A different factorial configuration for the family dimension for the secondary and high school groups was obtained. Data suggest that IADA is a reliable and valid instrument in order to identify adolescents at risk. (150 words)
Improving outcome in schizophrenia: the case for early intervention.

The long-term course of schizophrenia, one of the world’s most serious public health problems, is generally regarded as one of chronicity and disability. Despite the availability of treatment, more than 50% of patients continue to exhibit moderate levels of “positive symptoms” such as delusions, hallucinations, and disorganized thinking and behaviour, and “negative symptoms” such as poverty of thought, volition and affect, and social and interpersonal withdrawal, and require long-term support and periodic admission to hospital. It is therefore important to find ways to improve long-term outcome. We reviewed the literature to examine the impact of strategies to improve longterm outcome, the factors that influence outcome and the evidence supporting early intervention as a means to improve outcome. The difficulties inherent in defining outcome are well documented. For this review, we used the description of Hegarty and colleagues, who stated that “patients considered improved in follow-up have been described as recovered, in remission, without symptoms, minimally or mildly symptomatic, improved without significant deficit, socially recovered, working or living independently. ”
A BE-based Multi-document Summarizer with Query Interpretation

This paper describes the multi-document summarization system designed by the Webclopedia team from ISI for DUC 2005. In contrast to the past DUCs and previous designs, this version of our summarizer consists of a query-interpretation component that directly analyzes the given user profile and topic narrative for each document cluster before creating a corresponding summary. This system ranks 4 on ROUGE-1, 7 on ROUGE-2 and ROUGE-SU4. Evaluations conducted by Basis Elements show this system ranks 6 among 32 automatic systems.
The stability of simulation based estimation of the multiperiod multinominal probit model with individual specific covariates

The multi-period multinomial Probit model (MMPM) is seen as a flexible tool to explain individual choices among several alternatives over time. There are two versions of this model: a) for each individual the covariates for all alternatives are known and b) for each individual only the parameters of the alternative which was chosen is known. The main difficulty with the MMPM was the calculation of the probability for the individual sequence of chosen alternatives, which requires the computation of the integral over a high dimensional multivariate Normal density. This remedy was removed by the Smooth Recursive Conditional (SRC) simulator. Several simulation studies have investigated the stability of the MMPM estimates with special emphasis to the number of replications of the SRC routine. In contrast to these studies, which use the case of alternative specific covariates, we use the case of the individual specific covariates. We conclude that the MMPM with individual specific covariates is only weakly identified, generalizing Keane's (1992) result for the one period case. As a consequence the maximization of the simulated likelihood often converges to a singular covariance structure so that the SRC-routine stops iterating. This feature cannot be avoided by increasing the number of replications in the SRC-routine. The percentage of these failures rapidly increases with the number of alternatives.
Convolutive Transfer Function Generalized Sidelobe Canceler

In this paper, we propose a convolutive transfer function generalized sidelobe canceler (CTF-GSC), which is an adaptive beamformer designed for multichannel speech enhancement in reverberant environments. Using a complete system representation in the short-time Fourier transform (STFT) domain, we formulate a constrained minimization problem of total output noise power subject to the constraint that the signal component of the output is the desired signal, up to some prespecified filter. Then, we employ the general sidelobe canceler (GSC) structure to transform the problem into an equivalent unconstrained form by decoupling the constraint and the minimization. The CTF-GSC is obtained by applying a convolutive transfer function (CTF) approximation on the GSC scheme, which is a more accurate and a less restrictive than a multiplicative transfer function (MTF) approximation. Experimental results demonstrate that the proposed beamformer outperforms the transfer function GSC (TF-GSC) in reverberant environments and achieves both improved noise reduction and reduced speech distortion.
Application Layer Multicast Technology of Streaming Media

With the rapid development of network technology, Internet business has been transferred from a simple text into a host text, audio, video and other streaming services. Application layer multicast is one of the key technologies to protect the large-scale service quality of streaming media system, which has become an important part of study. Based on the application layer multicast technology, it focused on analyzing the effects of application layer multicast to the large-scale of media streaming system, and summarized the typical characteristics of the system. It takes efficiency of multicast robustness, scalability, and the continuity as evaluation indexes, and summarized the typical multicast. In the end，the drawbacks and develop directions of application layer multicast were discussed.
Building a behavior model for the Ubiquitous Display to be used in a large-scale public facility

In this paper, we built a behavior model for the Ubiquitous Display (UD) to provide a situation oriented service to the users in a large-scale public facility. The UD is a mobile-projection robot to support the user with visual information. If the UD provides a service in a public facility, we should assume the possible situations previously. According to the situation, the model should be built in consideration of its purpose. Thus, we clarify the UD's actions and define the sequences of behavior while the UD provides a service in a shopping mall, which is a sort of the large public facility. Moreover, we developed a computer simulation software in order to verify the validity of the proposed model.
Policy Biases when the Monetary and Fiscal Authorities have Different Objectives

Central bank independence has contributed to achieve price stability and fiscal discipline for many countries. This is an accepted first-generation reform of fiscal and monetary policy. The question this paper asks is whether a second-generation reform consisting of institutional incentives for domestic policy coordination could be beneficial. The paper presents a game-theoretic model where the fiscal and monetary authorities interact to stabilize the economy. These authorities are different in that they have dissimilar preferences with respect to output and inflation gaps and control different policy instruments. Modeled as Nash or Stackelberg equilibria, the solution under lack of policy coordination implies that an increase in the preference divergence between the monetary and fiscal authorities leads to, ceteris paribus, larger public deficits (the fiscal authority's policy instrument) and higher interest rates (the central bank's instrument). The empirical section of the paper tests this conclusion on a pooled sample of 19 industrial countries with annual information for the period 1970-94. Controlling for other shocks and economic conditions, the estimation results support the main conclusion of the theoretical section. The policy implication of the paper is that, without prejudice to the gains from central bank independence, institutional arrangements that allow for coordination both at the level of setting objectives and at the level of policy implementation can alleviate the biases that move the economy to sub-optimally higher fiscal deficits and real interest rates.
Controllability of discrete-time switched fractional order systems

In the article unconstrained controllability problem of discrete-time switched fractional order systems is addressed. A solution of discrete-time switched fractional order state equation is presented. Additionally, a transition matrix of considered dynamical systems is given. A sufficient condition for unconstrained controllability in a given time interval is formulated and proved by the general formula of difference state equation solution. At the end, an illustrative example is also shown.
Heavy rain prediction using deterministic and probabilistic models – the flash flood cases of 11–13 October 2005 in Catalonia (NE Spain)

Between the 11 and 13 October 2005 several flash floods were produced along the coast of Catalonia (NE Spain) due to a significant heavy rainfall event. Maximum rainfall achieved values up to 250 mm in 24 h. The total amount recorded during the event in some places was close to 350 mm. Barcelona city was also in the affected area where high rainfall intensities were registered, but just a few small floods occurred, thanks to the efficient urban drainage sys- tem of the city. Two forecasting methods have been ap- plied in order to evaluate their capability of prediction re- garding extreme events: the deterministic MM5 model and a probabilistic model based on the analogous method. The MM5 simulation allows analysing accurately the main me- teorological features with a high spatial resolution (2 km), like the formation of some convergence lines over the region that partially explains the maximum precipitation location during the event. On the other hand, the analogous tech- nique shows a good agreement among highest probability values and real affected areas, although a larger pluviomet- ric rainfall database would be needed to improve the results. The comparison between the observed precipitation and from both QPF (quantitative precipitation forecast) methods shows that the analogous technique tends to underestimate the rain- fall values and the MM5 simulation tends to overestimate them.
Contemporary Chinese Youth and the State

Having put a very successful Olympics in the rearview mirror, China entered 2009 with a set of new challenges, brought on in part by the worldwide economic crisis and the resulting demands to ensure necessary employment levels and in part by the familiar issue of maintaining social stability. While the hope, presumably, was to move reasonably smoothly from the Olympics of August 2008 to the celebration of the sixtieth anniversary of the founding of the People's Republic of China in October 2009, the Chinese media has instead become proactive in alerting local officials and the general public that China is entering “a peak period for mass incidents” ( quntixing shijian , 群体性事件), with further warnings that a single national-level event, handled poorly, could “resonate” ( gongzhen , 共振) into a threat to overall social stability and a serious political crisis.
Using an evolutionary perspective to understand the relationship between physical aggression and academic performance in late adolescents

ABSTRACT In this study, we applied an evolutionary perspective to analyze the relationship between aggressiveness, academic performance, and sociality in a population of 528 adolescents of both sexes. In men, we expect physical aggression (PA) and sociality to be negative predictors of academic performance. However, in women, PA would be a negative predictor of academic performance, and sociality a positive one. Our results report a negative association between academic performance and PA in both sexes. As we expected, social effect derived from the use of PA seems to be different for each sex, where men could display a rebellious attitude to increase chances of finding a mate. In contrast, results for women are not conclusive, because no relationship between academic performance and any aggressive mechanism, were predicted by sociality. We conclude that an evolutionary framework, which includes sex-specific hypotheses, is appropriate to obtain a holistic perspective of this phenomenon.
Specifying Communicative Multi-Agent Systems with ConGologSteven

In this paper, we describe a framework for specifying communicative multi-agent systems, using a theory of action based in the situation calculus to describe the eeects of actions on the world and on the mental states of agents; and the concurrent, logic programming language ConGolog to specify the actions performed by each agent. Since ConGolog has a well-deened semantics in the situation calculus, the speciications can be used to reason about the behavior of individual agents and the system as a whole. We extend the work presented in (Lesp erance et al. 1996) to allow the specii-cations to mention agents' goals explicitly. The framework presented here allows the behavior of diierent agents to be speciied at diierent levels of abstraction, using a rich set of programming language constructs. As an example, we specify a meeting scheduler multi-agent system.
Facial Expression Recognition Using Facial Movement Features

Facial expression is an important channel for human communication and can be applied in many real applications. One critical step for facial expression recognition (FER) is to accurately extract emotional features. Current approaches on FER in static images have not fully considered and utilized the features of facial element and muscle movements, which represent static and dynamic, as well as geometric and appearance characteristics of facial expressions. This paper proposes an approach to solve this limitation using "salient” distance features, which are obtained by extracting patch-based 3D Gabor features, selecting the "salient” patches, and performing patch matching operations. The experimental results demonstrate high correct recognition rate (CRR), significant performance improvements due to the consideration of facial element and muscle movements, promising results under face registration errors, and fast processing time. Comparison with the state-of-the-art performance confirms that the proposed approach achieves the highest CRR on the JAFFE database and is among the top performers on the Cohn-Kanade (CK) database.
Pengembangan Aplikasi Market Basket Analysis Menggunakan Algoritma Generalized Sequential Pattern pada Supermarket

Abstrak—Market Basket Analysis merupakan salah satu tipe analisis data yang paling sering digunakan dalam dunia pemasaran, dimana teknik ini digunakan untuk menganalisis isi keranjang belanja guna mendapatkan informasi produk apa saja yang paling sering dibeli sekaligus oleh para konsumen. Hasil dari analisis dapat digunakan sebagai strategi dalam menjalankan bisnis, seperti rekomendasi tata letak barang dan menjaga ketersediaan stok produk yang berelasi agar berimbang. Salah satu metode data mining yang bisa digunakan untuk menggali informasi tersebut yaitu Generalized Sequential Pattern (GSP). Hasil dari penggalian ini adalah informasi tentang produk-produk yang sering dibeli secara bersamaan (Association Rules) dan produk-produk yang sering dibeli secara berurutan oleh pembeli (Sequential Pattern Rules). Dengan algoritma GSP, kedua macam infomasi tersebut akan didapat secara bersamaan dalam sekali proses. Dari pengujian yang telah dilakukan disimpulkan bahwa penelitian ini berhasil menggali informasi yang diinginkan. Informasi yang didapatkan berupa rules yang telah ditentukan terlebih dahulu minimum support-nya. Keywords—Market Basket Analysis, Generalized Sequential Pattern, Tata Letak Barang