Miracle-dz/UniFAR-FTUs huggingface dataset:
Introgression of submergence tolerance into CO 43, a popular rice variety of India, through marker-assisted backcross breeding

Submergence is a major threat in rice growing areas of South and South-East Asia. Identification of a major QTL, Sub1 and advancements in marker-assisted backcrossing strategy enabled breeders to develop submergence tolerant versions of popular rice cultivars. In the present study, a marker-assisted backcross breeding (MABB) approach was used to introgress the Sub1 locus from the tolerant FR13A variety into CO 43, one of the popular rice varieties of southern India. Evaluation of early generation segregating progenies derived from the cross of CO 43 and FR13A revealed the introgression of Sub1, leading to increased tolerance to submergence and better revival ability after it. Genotyping and phenotyping of BC3F3 generation resulted in elite NILs of CO 43 harbouring Sub1 the locus and possessing 94.37% and 95.78% of the recurrent parental CO 43 genome. Selected NILs performed equal as the recurrent parent CO 43 under normal conditions, but were more tolerant to submergence and revived better, afterwards. Under flooding NILs yielded about 25–30% higher than the recurrent parent CO 43.
Extraction of Verbal Synsets and Relations for FarsNet

WordNet or ontology development for resource-poor languages like Persian, requires composition of several strategies and employment of appropriate heuristics. Lexical and linguistic structured resources are limited for Persian and there is a lot of diversity and structural and syntagmatic complexities. This paper proposes a system for extraction of verbal synsets and relations to extend FarsNet (Persian WordNet). The proposed method extracts verbal words and concepts using noun and adjective words and synsets. It exploits the data from digital lexicon glossaries, which leads to the identification of 6890 proper verbal words and 2790 verbal synsets, with 91% and 67% precision respectively. The proposed system also extracts relations such as semantic roles of verbal arguments (instrument, location, agent, and patient) and also “related-to” (unlabeled) relations and co-occurrence among verbs and other concepts. For this purpose, a combination of linguistic approaches such as morphological analysis of words, semantic analysis, and use of key phrases and syntactic and semantic patterns, corpus-based approach, statistical techniques and co-occurrence analysis have been utilized. The presented strategy extracts 5600 proper relations between the existing concepts in FarsNet 2.0 with 76% precision.
A Godement–Jacquet type integral and the metaplectic Shalika model

Abstract:We present a novel integral representation for a quotient of global automorphic $L$-functions, the symmetric square over the exterior square. The pole of this integral characterizes a period of a residual representation of an Eisenstein series. As such, the integral itself constitutes a period, of an arithmetic nature. The construction involves the study of local and global aspects of a new model for double covers of general linear groups, the metaplectic Shalika model. In particular, we prove uniqueness results over $p$-adic and archimedean fields, and a new Casselman--Shalika type formula.
FTS : Faceted Taxonomy Construction and Search for Scientific Publications

Scalable keyword-based information retrieval has dominated the search industry for decades. When performing a sophisticated intelligence search and analysis task, a user is challenged to pose a right query, read multiple retrieved articles, understand their major contents, discover more relevant terms, and iterate. This process is often ad hoc and in many cases, very challenging especially when researchers start to explore a field they are not familiar with. For tasks like summarizing research efforts in one area, an analyst needs to interact with a keyword-based search engine for a long time before a reasonable, comprehensive technical report can be written. In this work, we developed a network-based, unified search and navigation platform, called FTS (Faceted Taxonomy Construction and Search), to ease query development and facilitate intelligence exploration in a large text repository, focused on scientific publications. It leverages the newest phrase mining, concept embedding and deep learning techniques to automatically extract concept terms and link them in a taxonomy structure, which could facilitate many interesting downstream applications including summarization, trend analysis, document categorization and recommendation.
On the magnetostatic interactions between nanoparticles of arbitrary shape

The general expression for the magnetostatic energy of two magnetized nanoparticles with arbitrary shape and magnetization state is derived within the framework of a Fourier space approach. It is shown how the standard dipole– dipole interaction, valid for large interparticle distances, should be modified in order to take into account the shape anisotropy of each particle. Explicit computations are given for a simple system of two interacting cylinders. For magnetic nanowires, i.e., cylinders with a very large aspect ratio, a simple derivation shows that the interaction is of monopolar, rather than dipolar, nature. r 2003 Elsevier B.V. All rights reserved. PACS: 41.20. Gz; 75.30. Gw; 75.40. Mg; 75.75. þa
Etiology of Chronic Liver Disease in Ethiopia: A Case Control Study with Special Reference to Viral Hepatitis and Alcohol.

Introduction Chronic diseases of the liver are a global health problem with high morbidity and mortality. Viral hepatitis is the predominant cause for liver disease in low and middle-income countries. Viral hepatitis is also frequent in high-income countries but mainly as a complication to drug abuse or iatrogenic to treatment. In high-income countries non-fatty-liver-disease and complications to alcohol consumption are the most frequent etiology of liver disease. Viral hepatitis B and C is prevalent in Ethiopia but there are only few studies done in relation to chronic liver disease and a relationship between the increasing alcohol consumption and chronic liver disease. Objective A The aim of the study was to assess the association between chronic liver disease in Ethiopia and infection with viral hepatitis and possible relation to alcohol consumption. Methods and Material An unmatched case control study was conducted in Addis Ababa. Cases were chronic liver disease patients (n = 812) and controls were patients without liver disease (n = 798). Data were collected from the records of patients treated at a specialized clinic of Gastrsoenterology and Hepatology in Addis Ababa from 1st January 2013 - 31st, December 2013. Results The odds of having hepatitis infection among chronic liver disease was AOR = 100.96, (95%CI: 62.15 - 164.02) for HBV and AOR = 59.2, (95%CI: 27.23 - 130.9) for HCV. Consumption of alcohol was associated with chronic liver disease (OR: 8.23 95%CI: 3.76 - 12.70). Liver enzymes were elevated significantly in patients with hepatitis and alcohol consumption compared to patients without alcohol consumption. Conclusion Viral hepatitis infections are strongly associated with chronic liver disease. Prevention of viral hepatitis infections and control of alcohol consumption need to be strengthened in order to reduce the burden of chronic liver disease in Ethiopia.
Applying Transfer Learning to Recognize Clothing Patterns Using a Finger-Mounted Camera

Color identification tools do not identify visual patterns or allow users to quickly inspect multiple locations, which are both important for identifying clothing. We are exploring the use of a finger-based camera that allows users to query clothing colors and patterns by touch. Previously, we demonstrated the feasibility of this approach using a small, highly-controlled dataset and combining two image classification techniques commonly used for object recognition. Here, to improve scalability and robustness, we collect a dataset of fabric images from online sources and apply transfer learning to train an end-to-end deep neural network to recognize visual patterns. This new approach achieves 92% accuracy in a general case and 97% when tuned for images from a finger-mounted camera.
Assessment of the estrogenic potency of chemicals , alone or in combination , and complex environmental mixtures using a novel transgenic cy 19 a 1 b-GFP in vivo zebrafish assay ( EASZY assay )

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. Assessment of the estrogenic potency of chemicals, alone or in combination, and complex environmental mixtures using a novel transgenic cy19a1b-GFP in vivo zebrafish assay (EASZY assay) François Brion, Nathalie Hinfray, Nicolas Creusot, Olivier Kah, Jean-Marc Porcher, Selim Ait-Aissa
The Effects of Practice and Load on Actual and Imagined Action

Research has shown similarities between actual movement durations (AMD) and imagined movement durations (IMD). These similarities are believed to reflect the extent to which an action is represented by an internal model or emulator in the brain. Differences in AMD and IMD could be due to the employment of online feedback processes during actual movement in addition to emulated feedback as suggested by emulation theory. The current study was framed by these basic components of emulation theory. Methodology similar to a study by Papaxanthis, Schieppati, Gentili, and Pozzo (2002) was used to examine AMD and IMD of the arm under different conditions of added load and practice with the hypothesis that AMD and IMD would diverge with practice. The current study replicated the previous findings of a nonsignificant difference between AMD and IMD. As opposed to divergence, the results reveal an independent decrease in AMD and lack of change in IMD over 10 blocks of trials. The results suggest that the lack of change in IMD reflects a process that protects previous learning from catastrophic interference (McCloskey & Cohen, 1989). Other analyses revealed that the variability of IMD was larger than that of AMD but also revealed that the variability of both decreased with practice. It is suggested that both practice and feedback play a role in improving the consistency of a movement’s timing. Significant correlations between AMD and IMD were also found. The results are consistent with the basic components of the emulation model.
Poster : Experimental Evaluation of Website Fingerprinting using Deep Learning

The website fingerprinting (WF) attack is one of the most dangerous threats against the Tor anonymity system. The attack enables an adversary who can locally observe user’s traffic to learn about that user’s online browsing activity. Previous studies have shown high rates of attacker effectiveness by applying machine learning techniques such as k-NN and SVM classifiers. The attacker, however, must carefully design the features to be used in these classifiers. In this paper, we explore the use of deep learning for the WF attack, which offers the advantage of not requiring features to be hand crafted. In particular, we applied a Stack Denoising Autoencoders (SDAE) to construct the classifier. Our experimental evaluations show that this technique is fairly effective, at least for a closed-world setting. We believe that further refinement is possible to improve the attack and will explore this in future work.
Pounding Effects on the Earthquake Response of Adjacent Reinforced Concrete Structures Strengthened by Cable Elements

Abstract A numerical approach for estimating the effects of pounding (seismic interaction) on the response of adjacent Civil Engineering structures is presented. Emphasis is given to reinforced concrete (RC) frames of existing buildings which are seismically strengthened by cable-elements. A double discretization, in space by the Finite Element Method and in time by a direct incremental approach is used. The unilateral behaviours of both, the cable-elements and the interfaces contact-constraints, are taken strictly into account and result to inequality constitutive conditions. So, in each time-step, a non-convex linear complementarity problem is solved. It is found that pounding and cable strengthening have significant effects on the earthquake response and, hence, on the seismic upgrading of existing adjacent RC structures.
Sockets Router Sockets GPU Sockets ( b ) Lightweight Board : Blue Gene / Q ( a ) Hybrid Board : Cray XK ! 7 DDR DIMMs DDR Chips DDR DIMMs GDDR DRAM Chips

The Graph500 Breadth-First Search benchmark has emerged as a well-documented PGAS-style application that both scales to large data set sizes and has documented implementations on multiple platforms over multiple years. This paper analyzes the reported performance and extracts insight into what are the leading performance limitations in such systems and how they scale with system size.
SEROPREVALENCE AND RISK FACTORS ASSOCIATED WITH TOXOPLASMOSIS IN SHEEP IN MULTAN AND KHANEWAL DISTRICTS OF PUNJAB ( PAKISTAN )

During the present study 500 serum samples were examined to determine the seroprevalence of toxoplasmosis and risk factors in sheep by using latex agglutination test (LAT) and enzyme linked immunosorbent assay (ELISA) in Multan and Khanewal districts, Punjab (Pakistan). The aim of the present study was to identify the potential risk factors associated with toxoplasmosis in sheep. The overall seroprevalence was 33.6% by LAT and 27.4% by ELISA. The area wise prevalence of toxoplasmosis was 34.02% and 33.01% by LAT and 28.12% and 26.41% by ELISA in Multan and Khanewal respectively. Difference was statistically non-significant (P>0.05). Out of 449 female sheep 60 were aborted. Relationship between toxoplasmosis and incidence of abortion indicated that seroprevalence was 51.66% and 41.66% in aborted sheep and 31.1% and 26.22% in non-aborted sheep by LAT and ELISA respectively. Differences were statistically significant (P<0.05) by both techniques. The results further revealed the non-significant differences between infection rates in males 31.37% and 19.6% and in females 33.85% and 28.28% via LAT and ELISA respectively. The prevalence was higher in females than males and difference was statistically non-significant (P>0.05). Relationship between age groups showed that toxoplasmosis prevalence was higher in age group 60-73 months (64.5% and 38.7% by LAT and ELISA respectively) and lowest in age group 4-17 months (26.4% and 22.4% by LAT and ELISA respectively) difference was statistically significant (P<0.05) by LAT and non-significant (P>0.05) by ELISA. From the result of present study it is concluded that the large flock size, presence of cats, and the improper disposal of aborted fetuses openly left on ground were the main causes of higher rates of prevalence of toxoplasmosis in sheep which are potential threat of infection for human population of study area.
Moving Horizon Estimation with Dynamic Programming

Moving Horizon Estimation(MHE) is a optimization based strategy to state estimation. It involves computation of arrival cost, a penalty term, based on the MHE cost function. Minimization of this arrival cost is done through various methods. All these methods use nonlinear programming optimization technique which gives the estimate. The main idea of MHE revolves around minimizing the estimation cost function. The cost function is dependent on prediction error computation from data and arrival cost summarization. The major issue that hampers the MHE is choosing the arrival cost for ensuring stability of the overall estimation and computational time. In order to attain this stability, this thesis incorporates dynamic programming algorithm to estimate MHE cost function. Dynamic programming is an algorithm for solving complex problems. The MHE cost function algorithm has been modified based on dynamic programming algorithm in order to ensure stability of the overall estimation. In order to apply this algorithm, a specific non-linear filter, particle filter is used for the initialization of MHE. The reason of using particle filter for initialization of MHE is due to fact that dynamic programming algorithm works on principle of samples and particle filter provides the samples. A comparison of mean squared
Asymptotic Performance Analysis of Free-Space Optical Links with Transmit Diversity

The misalignment errors and fluctuations in irradiance due to atmospheric turbulence can severely degrade the performance of free-space optical (FSO) systems. In this paper, we investigate the asymptotic bit error rate (BER) performance and diversity orders of FSO links using parallel transmit-diversity schemes. The BER expressions of FSO links with the switch-and-examine transmit (SET), switch-and-examine transmit with post-selection (SETps), dual-branch transmit laser selection (Dual-TLS), and group transmit laser selection (Group-TLS) schemes are derived, based on an approximate channel model. Then numerical simulations for these four schemes in the region of high average signal-to-noise ratio (SNR) are presented under different channel conditions. The results show that the four transmit-diversity schemes can reduce system complexity and overcome the limitation of peak power, without much BER deterioration.
Biofuel Expansion, Fertilizer Use, and GHG Emissions: Unintended Consequences of Mitigation Policies

Increased biofuel production has been associated with direct and indirect land-use change, changes in land management practices, and increased application of fertilizers and pesticides. This has resulted in negative environmental consequences in terms of increased carbon emissions, water quality, pollution, and sediment loads, which may offset the pursued environmental benefits of biofuels. This study analyzes two distinct policies aimed at mitigating the negative environmental impacts of increased agricultural production due to biofuel expansion. The first scenario is a fertilizer tax, which results in an increase in the US nitrogen fertilizer price, and the second is a policy-driven reversion of US cropland into forestland (afforestation). Results show that taxing fertilizer reduces US production of nitrogen-intensive crops, but this is partially offset by higher fertilizer use in other countries responding to higher crop prices. In the afforestation scenario, crop production shifts from high-yielding land in the United States to low-yielding land in the rest of the world. Important policy implications are that domestic policy changes implemented by a large producer like the United States can have fairly significant impacts on the aggregate world commodity markets. Also, the law of unintended consequences results in an inadvertent increase in global greenhouse gas emissions.
‘Naturally Smoke Free’: a support program for facilitating worksite smoking control policy implementation in Sweden

This paper describes events and experiences of a politically mandated support program designed to facilitate adoption and implementation of smoking control policies at public sector worksites in Stockholm, Sweden. The support program utilized a three-pronged community organization strategy including informational, enabling and training components. Participation in the program and implementation process was monitored at all public sector worksites including the 17 human service districts. In-place health promotion programs and organizational climate were also assessed using semi-structured interviews with key informants at the human service districts. Sixteen of the 17 districts had adopted smoking control policies (designated smoking areas) at the close of the program. A parallel tendency was observed for policy implementation and health promotion, i.e. generally the high-ranking districts for implementation also ranked high for health promotion. No linkages were noted for organizational climate. Follow up shows occupation-specific patterns that may indicate a need for stress reduction components in conjunction with cessation programs and/ or worksite smoking control policies. Furthermore, specific tools for assessing organizational climate need to be developed and refined as do strategies and models.
On the Very High-Resolution Radar Image Statistics of the Exponentially Correlated Rough Surface: Experimental and Numerical Studies

The aim of this study is to investigate, by means of experimental measurements and full-wave simulations, the dominant factors for the very high-resolution (VHR) radar image speckles from exponentially correlated rough surfaces. A Ka-band radar system was used to collect the return signal from such a surface sample fabricated by 3D printing and that signal was further processed into images at different resolution scales, where the image samples were obtained by horizontally turning around the surface sample. To cross-validate the results and to further discuss the VHR speckle properties, full wave simulations by full 3D Finite Difference Time Domain (FDTD) method were conducted with 1600 realizations for the speckle analysis. At the considered very high resolution, speckle statistics show divergence from the fully developed Rayleigh distribution. The factors that impact on the high-resolution speckle properties from exponentially correlated rough surface, are analyzed in views of the equivalent number of scatterers theory and scattering scales, respectively. From the data results and extended discussions, it is evident that both of the above factors matter for VHR speckle of backscattering, from the exponentially correlated rough surface as a good representative for the ground surface.
Street-level bureaucrats: can they deliver?

This paper used Social Exchange Theory as a lens for examining the impact of the supervisor-subordinate relationship on different types of street-level bureaucrats' (SLB) perceptions of autonomy and in turn, role clarity. The findings challenge Lipsky's (1980) theory about the autonomy of Australian SLBs because nurse and police SLBs felt only somewhat autonomous in the workplace. Moreover, they are at best only slightly satisfied with their supervision but their supervision practices significantly affect their perceptions of autonomy as well as their levels of role clarity. The findings therefore indicate that present management practices are not ideal for promoting effective workplace relationships or for addressing the current skills shortage. By contrast, private sector nurses were found to have comparatively higher levels of satisfaction with supervisor-subordinate relationships and therefore of autonomy and consequently, of role clarity. The implications for public sector managers responsible for ensuring SLBs do have the conditions in place to deliver appropriate services to the Australian public are discussed.
Using Regional Cycles to Measure National Business Cycles in the U.S. with the Markov Switching Panel Model

This paper measures the accuracy of using regional cycles to identify national business cycle turning points in the U.S. with the Markov Switching Panel (MSP) model. Based on the MSP model, it is determined that regional cycles are highly capable of identifying national business cycle turning points in the U.S., but the duration of recessions of regional cycles are longer than those of national business cycles.