Miracle-dz/UniFAR-FTUs huggingface dataset:
Conservation of Agriculture in the Western Indo-Gangetic Plains' Irrigated Cotton–Wheat and Guar-Wheat System

Wheat (Triticum aestivum (L.) and other crops are grown sequentially on approximately 2.5 M ha in irrigated, double crop pattern in the state of Haryana (NorthWest India). The annual sequences of rotation used are cotton (Gossypieae)–wheat (Triticum aestivum (L.) in the western part of the state and cluster bean (Cyamopsis tetragonoloba (L.) Taub. )–wheat (Triticum aestivum L.) in the SW regions of Haryana. Cotton-wheat International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 10 (2020) Journal homepage: http://www.ijcmas. com
Development of Isothermal LAMP Assay for Detection of Intimin Gene (eae) in E. coli Associated with Piglet Diarrhea

Background: Diarroeagenic Escherichia coli (DEC) including enteropathogenic E. coli (EPEC) and enterohaemorrhagic E. coli (EHEC) is associated with acute diarrhoea in children and young animals. The virulence is associated with attaching and effacing lesions encoded by eaeA gene is considered as marker for EPEC and EHEC. Laboratory diagnosis of such infections is carried out by traditional bacteriological techniques and by conventional PCR assays. Those techniques often provide false negative result and at the same time are costly as well as difficult to perform in the field level. The loop-mediated isothermal amplification (LAMP) is a new generation DNA amplification assay is developed for detection of eaeA gene in E. coli isolated from diarrhoeic piglets.Methods: Samples were collected from diarrhoeic piglets for isolation and identification of E. coli. eaeA gene was detected by conventional PCR using specific primers in all the isolates. LAMP assay was standardized for detection of eaeA gene. Analytical sensitivity of LAMP was evaluated using 10 fold serially diluted E. coli genomic DNA. The specificity of the LAMP assay was determined by evaluating the cross reactivity with 19 other enteric and non-enteric bacterial species. Standardized LAMP was applied for detection of eaeA gene in the field isolates.Result: A total of 37 (24.67%) isolates were recorded as positive for eaeA gene by conventional PCR, while 49 (32.67%) isolates were recorded as positive for eaeA gene by LAMP assay. The LAMP assay was 10 times more sensitive than conventional PCR. LAMP assay was found to be more sensitive, specific, cost effective, user friendly and reliable technique over conventional PCR, which can be applied for screening of the clinical isolates for confirmation of EPEC and/or EHEC.
Mathematical Model of Controlling the Spread of Malaria Disease Using Intervention Strategies

This paper proposes and analyses a basic deterministic mathematical model to investigate Simulation for controlling the spread of malaria Diseases Transmission dynamics. The model has seven non-linear differential equations which describe the control of malaria with two state variables for mosquito’s populations and five state variables for human’s population. To represent the classification of human population we have included protection and treatment compartments to the basic SIR epidemic model and extended it to SPITR model and to introduce the new SPITR modified model by adding vaccination for the transmission dynamics of malaria with four time dependent control measures in Ethiopia Insecticide treated bed nets (ITNS), Treatments, Indoor Residual Spray (IRs) and Intermittent preventive treatment of malaria in pregnancy (IPTP). The models are analyzed qualitatively to determine criteria for control of a malaria transmission dynamics and are used to calculate the basic reproduction R0. The equilibria of malaria models are determined. In addition to having a disease-free equilibrium, which is globally asymptotically stable when the R0<1, the basic malaria model manifest one's possession of (a quality of) the phenomenon of backward bifurcation where a stable disease-free equilibrium co-exists (at the same time) with a stable endemic equilibrium for a certain range of associated reproduction number less than one. The results also designing the effects of some model parameters, the infection rate and biting rate. The numerical analysis and numerical simulation results of the model suggested that the most effective strategies for controlling or eradicating the spread of malaria were suggest using insecticide treated bed nets, indoor residual spraying, prompt effective diagnosis and treatment of infected individuals with vaccination is more effective for children.
Migration Policy Uncertainty and Terrorist Attacks: Evidence from the US

To examine the potential relationship between migration policy uncertainty and terrorist attacks, this study uses the migration policy uncertainty index based on newspaper coverage frequency under the empirical framework of Vector Autoregression (VAR) model. The main findings of this study are as follows: (1) Based on the Granger causality test, migration policy uncertainty increases the occurrence of terrorist attacks. (2) From impulse response analysis, the exogenous shock to migration policy uncertainty has a significant and persistent impact on terrorist attacks. (3) By forecast error variance decomposition, migration policy uncertainty contributes to more than 24% of the forecast error variance of terrorist attacks. (4) The nexus between migration policy uncertainty and terrorist attacks only exists in typical migration countries, such as the U.S. Therefore, this paper first documents the causal relationship between terrorist attack and migration policy uncertainty. In practice, policymakers should decrease migration policy uncertainty in order to prevent the likelihood of future terrorist attacks.
Use of an operational model evaluation system for model intercomparison

The Atmospheric Release Advisory Capability (ARAC) is a centralized emergency response system used to assess the impact from atmospheric releases of hazardous materials. As part of an on- going development program, new three-dimensional diagnostic windfield and Lagrangian particle dispersion models will soon replace ARAC`s current operational windfield and dispersion codes. A prototype model performance evaluation system has been implemented to facilitate the study of the capabilities and performance of early development versions of these new models relative to ARAC`s current operational codes. This system provides tools for both objective statistical analysis using common performance measures and for more subjective visualization of the temporal and spatial relationships of model results relative to field measurements. Supporting this system is a database of processed field experiment data (source terms and meteorological and tracer measurements) from over 100 individual tracer releases.
Effect of Cutting Parameters on Material Removal Rate and Cutting Power During Hard Turning of AISI 52100 Steel

The turning of hardened steels has been applied in many cases in production. The purpose of this research was to analyze the effect of the cutting parameters on the material removal rate, cutting power and material removal rate per cutting power during turning of AISI 52100 steel when using polycrystalline cubic boron nitride tools. Forces measured resulted in relatively low values, being the radial component the largest of all. The analysis of the result shows that the depth of cut has the greatest influence on material removal rate while cutting speed plays a dominant role in determining the cutting power and material removal rate per cutting power. Keywords; hard turning , cutting forces, Taguchi design
New inclination changing eclipsing binaries in the Magellanic Clouds

Context. Multiple stellar systems are unique laboratories for astrophysics. Analysis of their orbital dynamics, if well characterized from their observations, may reveal invaluable information about the physical properties of the participating stars. Unfortunately, there are only a few known and well described multiple systems, this is even more so for systems located outside the Milky Way galaxy. A particularly interesting situation occurs when the inner binary in a compact triple system is eclipsing. This is because the stellar interaction, typically resulting in precession of orbital planes, may be observable as a variation of depth of the eclipses on a long timescale. Aims. We aim to present a novel method to determine compact triples using publicly available photometric data from large surveys. Here we apply it to eclipsing binaries (EBs) in Magellanic Clouds from OGLE III database. Our tool consists of identifying the cases where the orbital plane of EB evolves in accord with expectations from the interaction with a third star. Methods. We analyzed light curves (LCs) of 26121 LMC and 6138 SMC EBs with the goal to identify those for which the orbital inclination varies in time. Archival LCs of the selected systems, when complemented by our own observations with Danish 1.54-m telescope, were thoroughly analyzed using the PHOEBE program. This provided physical parameters of components of each system. Time dependence of the EB’s inclination was described using the theory of orbital-plane precession. By observing the parameter-dependence of the precession rate, we were able to constrain the third companion mass and its orbital period around EB. Results. We identified 58 candidates of new compact triples in Magellanic Clouds. This is the largest published sample of such systems so far. Eight of them were analyzed thoroughly and physical parameters of inner binary were determined together with an estimation of basic characteristics of the third star. Prior to our work, only one such system was well characterized outside the Milky Way galaxy. Therefore, we increased this sample in a significant way. These data may provide important clues about stellar formation mechanisms for objects with different metalicity than found in our galactic neighborhood.
Construction of a high density genetic map and QTL mapping of PEG-induced drought tolerance at the early seedling stage in sesame using whole genome re-sequencing

BackgroundImprovement in sesame (Sesamum indicum L.) drought tolerance at seedling stage is important for yield stability. Genetic approaches combing with conventional breeding is the most effective way to develop drought-tolerant cultivars. So far, only a few studies have been reported to reveal gene/ quantitative trait loci (QTL) controlling drought tolerance in sesame. To identify the genomic regions associated with drought tolerance, we constructed a high-density genetic map using a recombinant inbred line (RIL) population through whole genome re-sequencing (WGRS) technique. QTLs contributing to three seedling traits were identified under both non-stress and water stress conditions.ResultsThree drought tolerance related traits and their relative values (the ratio of value under stress to value under control condition), including seedling weight (SW), shoot length (SL) and root length (RL), were evaluated under control and PEG-induced osmotic conditions at seedling stage in a RIL population derived from cross of Zhushanbai (ZSB) and Jinhuangma (JHM). Significant variation and high broad sense heritability were observed for all traits except SW under stress condition in the population. With this population, a high-density linkage map with 1354 bin markers was constructed through WGRS strategy. Composite interval mapping analysis was performed for all the traits as well as their relative phenotypic data. A total of 34 QTLs were detected for these traits under both conditions and their relative values, and 13 stable QTLs associated with seven traits were revealed in two independent experiments, explaining on average, 4.95-16.26% of phenotypic variation for each QTL. Four of them contributed more than 10% of phenotypic variation. One region on chromosome 12 contained two major QTLs related to RL under osmotic condition and relative RL. Seven candidate genes underlying major QTLs for drought tolerance were identified according to gene descriptions and variations between parents.ConclusionThe current study reports the first QTL mapping of drought tolerance related traits through a RIL population and first QTL detection of root related trait (root length) in sesame. These findings will provide new genetic resources for molecular improvement of drought tolerance and candidate gene identification in sesame.
C 3 IT-2012 Information Extraction from the UnStructured Document using Grammatical Inference and Alignment Similarity

Huge amount of information is available in un-structured (text) documents. Knowledge discovery in un-structured document has been recognized as promising task in the recent years. Since un-structured document is typically formatted for human viewing, it varies widely from document to document. Frequent changes made to their formatting further causes difficulty in construction of a global schema. So, Discovery of interesting rules form it is complex and tedious process. Most of the existing system uses hand-coded wrappers to extract information, which is monotonous and time consuming. In this paper we propose a novel and hybrid approach of learning (context-free) grammar rules that are based on alignment between texts. Also it automatically discovers the grammar rules using grammatical inference of repeated pattern present in un-structured (text) document. The generated rules can be used to infer the attribute value pairs from the unstructured text document. © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of C3IT
Quantum trajectories and open many-body quantum systems

The study of open quantum systems – microscopic systems exhibiting quantum coherence that are coupled to their environment – has become increasingly important in the past years, as the ability to control quantum coherence on a single particle level has been developed in a wide variety of physical systems. In quantum optics, the study of open systems goes well beyond understanding the breakdown of quantum coherence. There, the coupling to the environment is sufficiently well understood that it can be manipulated to drive the system into desired quantum states, or to project the system onto known states via feedback in quantum measurements. Many mathematical frameworks have been developed to describe such systems, which for atomic, molecular, and optical (AMO) systems generally provide a very accurate description of the open quantum system on a microscopic level. In recent years, AMO systems including cold atomic and molecular gases and trapped ions have been applied heavily to the study of many-body physics, and it has become important to extend previous understanding of open system dynamics in single- and few-body systems to this many-body context. A key formalism that has already proven very useful in this context is the quantum trajectories technique. This method was developed in quantum optics as a numerical tool for studying dynamics in open quantum systems, and falls within a broader framework of continuous measurement theory as a way to understand the dynamics of large classes of open quantum systems. In this article, we review the progress that has been made in studying open many-body systems in the AMO context, focussing on the application of ideas from quantum optics, and on the implementation and applications of quantum trajectories methods in these systems. Control over dissipative processes promises many further tools to prepare interesting and important states in strongly interacting systems, including the realisation of parameter regimes in quantum simulators that are inaccessible via current techniques.
5 9 to 3 9 mRNA Decay Contributes to the Regulation of Arabidopsis Seed Germination by Dormancy 1

Sorbonne Universités, UPMC Université Paris 06, Centre National de la Recherche Scientifique, Institut de Biologie Paris-Seine, Unité Mixte de Recherche 7622, Biologie du Développement, F-75005 Paris, France (I.B.-S., F.C., J.L., C.B.); Institute of Plant Sciences Paris Saclay IPS2, Centre National de la Recherche Scientifique, Institut National de la Recherche Agronomique, Université Paris-Sud, Université Evry, Université Paris-Saclay, Bâtiment 630, 91405 Orsay, France (S.P.); and Institute of Plant Sciences Paris Saclay IPS2, Paris Diderot, Sorbonne Paris-Cité, Bâtiment 630, 91405 Orsay, France (S.P.)
Fast Bootstrapping in Z_q

In 2015, Ducas and Micciancio presented a novel technique to compute the NAND gate using the Learning With Errors cryptosystem (LWE), along with a novel bootstrapping technique that turns turns this cryptosystem into a fully-homomorphic encryption scheme that allows a very short and fast implementation. We present an extension of their bootstrapping technique that allows refreshing encryptions of elements in Zp and the homomorphic computation of arbitrary gates, alongside with an implementation that exploits the power of parallel computation.
MYH 11 mutations result in a distinct vascular pathology driven by insulin-like growth factor 1 and angiotensin II

Department of Internal Medicine and Institute of Molecular Medicine, Department of Cardiothoracic and Vascular Surgery, Department of Biochemistry and Department of Pathology, The University of Texas Health Science Center at Houston, Houston, TX, USA, Human Genetics Center and Lillie Frank Abercrombie Section of Pediatric Cardiology, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, USA and Department of Medicine, The University of Texas Medical Branch, Galveston, TX, USA
The Role of Trading Volume in Forecasting Market Risk

This paper examines the information content of trading volume in terms of forecasting the conditional volatility and market risk of international stock markets. The performance of parametric Value at Risk (VaR) models including the traditional RiskMetrics model and a heavy-tailed EGARCH model with and without trading volume is investigated during crisis and post-crisis periods. Our empirical results provide compelling evidence that volatility forecasts based on volume-augmented models cannot be outperformed by their competitors. Furthermore, our findings indicate that including trading volume into the volatility specification greatly enhances the performance of the proposed VaR models, especially during the crisis period. However, the volume effect is fairly overshadowed by the sufficient accuracy of the heavy-tailed EGARCH model, during the post-crisis period.
Effect of Irrigation Schedules and Crop Establishment Methods on Physiological Processes, Light Interception, Water and Crop Productivity of Wheat under a Semiarid Agro-Ecosystem

1 Department of Agronomy, 3 Department of Genetics & Plant Breeding, 6 Department of Plant pathology, 7 Department of Entamology, Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut-250110, U.P., India 2 Indian Institute of Farming System Research, Modipuram, Meerut-250110, U.P., India 4 Institute of Agricultural Science, Department of Agronomy, Banaras Hindu University, Varansi221005,U.P., India 5 K.V. K. Ghaziabad, Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut-250110, U.P., India
Replica: A Wireless Manycore for Communication-Intensive and Approximate Data

Data access patterns that involve fine-grained sharing, multicasts, or reductions have proved to be hard to scale in shared-memory platforms. Recently, wireless on-chip communication has been proposed as a solution to this problem, but a previous architecture has used it only to speed-up synchronization. An intriguing question is whether wireless communication can be widely effective for ordinary shared data. This paper presents Replica, a manycore that uses wireless communication for communication-intensive ordinary data. To deliver high performance, Replica supports an adaptive wireless protocol and selective message dropping. We describe the computational patterns that leverage wireless communication, programming techniques to restructure applications, and tools that help with automation. Our results show that wireless communication is effective for ordinary data. For 64 cores, Replica obtains a mean speed-up of 1.76x over a conventional machine. The mean speed-up reaches 1.89x if approximate-computing transformations are enabled. The average energy consumption is substantially reduced by 34% (or 38% with approximate transformations), and the area increases only modestly.
Edinburgh Explorer Personality Facets and All-Cause Mortality Among Medicare Patients Aged 66 to 102 Years

Objectives: To investigate associations between the Revised NEO Personality Inventory (NEO-PI-R) facets and survival. Methods: Using proportional hazards regression, a previous analysis of the NEO-PI-R domains and selected facet scores revealed that the Neuroticism facet Impulsiveness, Agreeableness facet Straightforwardness, and Conscientiousness facet Self-Discipline were related to longer life in 66- to 102-year-old Medicare recipients ( n = 597) followed for approximately 4 years. We extended those analyses by including a longer follow-up period (an additional 4 years), examining all 30 facets, and using an additional analytic approach, accelerated failure time (AFT) modeling. Unlike proportional hazards regression, AFT permits inferences about the median survival length conferred by predictors. Each facet was tested in a model that included health-related covariates and NEO-PI-R factor scores for dimensions that did not include that facet. Results: Over the 8-year mortality surveillance period, Impulsiveness was not significant, but Straightforwardness and Self-Discipline remained significant predictors of longevity. When dichotomized, being high versus average or low on Self-Discipline was associated with an approximately 34% increase in median lifespan. Longer mortality surveillance also revealed that each standard deviation of Altruism, Compliance, Tender-Mindedness, and Openness to Fantasy was associated with an estimated 9-11% increase in median survival time. Conclusions: After extending the follow-up period from 4 to 8 years, Self-Discipline remained a powerful predictor of survival. Facets associated with imagination, generosity, and higher quality interpersonal interactions become increasingly important when the follow-up period was extended to 8 years.