Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Use Efficiency of Inputs by Drip Irrigation in Bt Cotton

Drip irrigation method (DIM) is one of the technical measures introduced about two decades back to increase the water use efficiency in Indian agriculture. Under this method, water is delivered directly to the root zone of the crops using pipe network and emitters. This method is entirely different from the conventional method, where water is dispersed to the whole cropland, instead of dispensing exclusively to the crop. Since water is supplied at the required time and quantity using pipe network under DIM, excess irrigation as well as water losses occurring through conveyance and distribution is completely eliminated. Experiments based studies show that the water use efficiency can be achieved up to 100 per cent under DIM, whereas the same is possible only in the range of 35-40 per cent under flood method of irrigation (INCID, 1994; Sivanappan, 1994). Besides saving water, DIM is also capable of enhancing the productivity of crops that too at lower cost of cultivation (Narayanamoorthy, 2004 and Dhawan, 2002). DIM is relatively a An experiment was conducted during two consecutive years of kharif 2012 and 2013 at Agricultural Research Station, Banswara to find out the suitable drip irrigation regimes and optimum nitrogen dose for Bt cotton. The experiment was laid-out in split plot design with four replications having twelve treatment combinations. Results revealed that, the application of irrigation at 0.6 ET gave significantly higher seed cotton yield (1989 kg/ha) as compared to irrigation regime of 1.0 ET and surface irrigation (control),but it was found at par with application of irrigation at 0.8 ET (1905 kg/ha). Increasing the seed cotton yield of Bt cotton with increasing of nitrogen levels from 50% RDN & K to 100% RDN & K. The maximum seed cotton yield (2068 kg/ha) was recorded under application of 100% RDN & K over application of 75% and 50% RDN & K (1673and 1448kg/ha), respectively in the pooled analysis. Application of irrigation regime 0.6 ET and 0.8 ET were recorded higher net return (Rs.48598/and 46458/ha -1 ) and B: C ratio (2.31 and 2.30) over irrigation regime 1.0 ET and surface method (control). Significantly higher net return (Rs. 50380/ha -1 ) and B: C ratio (2.29) was recorded under application of 100% RDN&K over 75% and 50% RDN&K net return (Rs. 37538/and 30680/ha -1 ) and B: C ratio (1.79 and 1.53), respectively in the pooled analysis. K e y w o r d s
Simulation evaluation of tag movement direction estimation methods in RFID gate systems

Recently, tag movement direction detection methods for efficiently managing inventory and checking for pilferage or shoplifting have been studied. We previously proposed such novel methods that use the difference in the passing time of two antennas without expensive external sensors. Because the readability of RFID systems varies greatly due to their installation environment, measuring under several conditions is necessary. However, it is not realistic to measure in an almost infinite number of real-world environments. Therefore, in this paper, an electromagnetic environment model for evaluating an RFID gate system was configured, a read count number was used as a means to evaluate the accuracy of these methods, and a simulation system that uses those models is proposed.
Space-Efficient Karatsuba Multiplication for Multi-Precision Integers

The traditional Karatsuba algorithm for the multiplication of polynomials and multi-precision integers has a time complexity of $O(n^{1.59})$ and a space complexity of $O(n)$. Roche proposed an improved algorithm with the same $O(n^{1.59})$ time complexity but with a much reduced $O(\log n)$ space complexity. In Roche's paper details were provided for multiplication of polynomials, but not for multi-precision integers. Multi-precision integers differ from polynomials by the presence of carries, which poses difficulties in implementing Roche's scheme in multi-precision integers. This paper provides a detailed solution to these difficulties. Finally, numerical comparisons between the schoolbook, traditional Karatsuba, and space-efficient Karatsuba algorithms are provided.
Applications of remote sensing and GIS to the investigation of past settlement on the Çarşamba alluvial fan, Anatolia

The settlement history of the £arsamba alluvial fan is investigated for the interval circa 9,000 1000 BP using Geographic Information System (GIS) tools and satellite remote sensing data. Models of landscape and settlement pattern development are evaluated with reference to the archaeological settlement record. Exploratory data analysis methods are used to examine the spatial characteristics of reconstructed settlement distributions. The use of multi-date Landsat Thematic Mapper (TM) and SPOT Panchromatic satellite data to increase the visibility of past settlements is described within a methodological section of the thesis. Vegetation cover conditions and the contrast between decomposed mudbrick and alluvial soils are identified as important factors in the visibility of settlements. The successful specific detection of previously unrecorded past settlements from Landsat and SPOT data is reported. The archaeological settlement record of the (^arsamba alluvial fan displays complex spatio-temporal patterning as a result of the interaction of cultural and taphonomic factors. While some features of the archaeological record are artifacts of differential preservation or recovery, others clearly reflect the influence of changing physical environments on past landuse and occupation.
Kernel Based Text-independnent Speaker Verification Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

The goal of a person authentication system is to authenticate the claimed identity of a user. When this authentication is based on the voice of the user, without respect of what the user exactly said, the system is called a text-independent speaker verification system. Speaker verification systems are increasingly often used to secure personal information, particularly for mobile phone based applications. Furthermore, text-independent versions of speaker verification systems are the most used for their simplicity, as they do not require complex speech recognition modules. The most common approach to this task is based on Gaussian Mixture Models (GMMs) (Reynolds et al. 2000), which do not take into account any temporal information. GMMs have been intensively used thanks to their good performance , especially with the use of the Maximum A Posteriori (MAP) (Gauvain and Lee 1994) adaptation algorithm. This approach is based on the density estimation of an impostor data distribution, followed by its adaptation to a specific client data set. Note that the estimation of these densities is not the final goal of speaker verification systems, which is rather to discriminate the client and impostor classes; hence discriminative approaches might appear good candidates for this task as well. As a matter of fact, Support Vector Machine (SVM) based systems have been the subject of several recent publications in the speaker verification community, in which they obtain similar to or even better performance than GMMs on several text-independent speaker
Glycoproteins of the lysosomal membrane

Three glycoprotein antigens (120, 100, and 80 kD) were detected by mono- and/or polyclonal antibodies generated by immunization with highly purified rat liver lysosomal membranes. All of the antigens were judged to be integral membrane proteins based on the binding of Triton X-114. By immunofluorescence on normal rat kidney cells, a mouse monoclonal antibody to the 120-kD antigen co-stained with a polyclonal rabbit antibody that detected the 100- and 80-kD antigens as well as with antibodies to acid phosphatase, indicating that these antigens are preferentially localized in lysosomes. Few 120-kD-positive structures were found to be negative for acid phosphatase, suggesting that the antigen was not concentrated in organelles such as endosomes, which lack acid phosphatase. Immunoperoxidase cytochemistry also showed little reactivity in Golgi cisternae, coated vesicles, or on the plasma membrane. Digestion with endo-beta-N-acetylglucosaminidase H (Endo H) and endo-beta-N-acetylglucosaminidase F (Endo F) demonstrated that each of the antigens contained multiple N-linked oligosaccharide chains, most of which were of the complex (Endo H-resistant) type. The 120-kD protein was very heavily glycosylated, having at least 18 N-linked chains. It was also rich in sialic acid, since neuraminidase digestion increased the pI of the 120-kD protein from less than 4 to greater than 8. Taken together, these results strongly suggest that the glycoprotein components of the lysosomal membrane are synthesized in the rough endoplasmic reticulum and terminally glycosylated in the Golgi before delivery to lysosomes. We have provisionally designated these antigens lysosomal membrane glycoproteins lgp120, lgp100, lgp80.
Physical and Mechanical Properties of Wood-Cement Composite with Lignocellulosic Grading Waste Variation

This research aimed verifies, with the aid of the analysis of variance (ANOVA), the influence of particles size of Eucalyptus grandis wastes in density and modulus of elasticity and strength modulus in compression of wood-cement composites. For this study was performed production and characterization of specimens, using portland cement, water and particle waste of Eucalyptus wood species, classified into sieves 10, 20, 32 and 60 mesh. The results of ANOVA showed significant differences in particle size, while samples with smaller particles had higher densities and lower mechanical performances. The composites studied have fully capable of being used as paving blocks, pavers or closure without the need for structural performance panels.
Pringle maneuver exacerbates systemic inflammatory response and multiple-organ injury induced by extended liver radiofrequency ablation

Aim: To assess the systemic inflammatory response (SIR) and the multi-organ damage after large-volume liver radiofrequency ablation (RFA) with or without concurrent Pringle maneuver. Methods: Wistar rats were subjected to 30% liver RFA (group RFA), liver RFA under 30-min Pringle maneuver (group RFA + P), Pringle only (group P) or sham operation (group S). Serum levels of interleukin-1α (IL-1α), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), serum biochemical profile, multiple-organ pathology and the activity of nuclear factor-κB (NF-κB) in the liver were assessed post-operatively. Results: The levels of IL-6 and TNF-α were increased from 1h up to 1w and 6h, respectively, in both RFA groups, while IL-6 was only mildly increased at 3 h in group P. IL-6 was higher in group RFA + P compared to group RFA. Serum biochemical profile was altered more intensely in group RFA + P compared to RFA. There was tissue injury in the non-ablated liver portion as well as in adjacent and remote organs with lesions being more severe in group RFA + P. At 1 h, NF-κB was equally activated in all study groups. Conclusions: Extended liver RFA causes SIR and multi-organ injury, which are exacerbated when a concurrent Pringle maneuver is applied.
Enhancing software engineering student team engagement in a high-intensity extreme programming course using gamification

The use of game thinking and game mechanics in non-gaming context is becoming more and more popular. This has been known as gamification. Recent studies have shown that this attempt seems very promising in different areas. In this paper we explore the value of gamification in a software development team. This paper describes one approach to add gamification into the software development process in teams of ten students each. We have conducted a gamification study with 50 volunteer students. In this paper we explain the rules, terms, and findings of this study.
A New Approach to Improve the Track Prediction of Tropical Cyclones Over North Indian Ocean

The implementation of a bias‐correction and signal amplification technique to the National Center for Environmental Prediction's Climate Forecast System‐based Grand Ensemble Prediction System Multi‐Model Ensemble outputs is studied for improvements in track predictions of three cyclonic storms over North Indian Ocean. Bias‐correction method involves the removal of lead‐dependent climatological bias from multi‐model ensemble forecasts by using European Centre for Medium‐Range Weather Forecasts Re‐analysis (ERA‐Interim) daily‐averaged data sets as observations. The corrected data are then subjected to signal amplification procedure involving a two‐point space and time correction of ensembles based on the leading signal (ensemble mean), whereby large uncertainties and disagreements between different model outputs are reduced. Results show that bias‐correction and signal amplification technique is, indeed, improving the track forecasts of selected cyclonic storm cases with significant reduction in track errors even at longer lead times.
Walking trajectory generation for humanoid robots with compliant joints: Experimentation with COMAN humanoid

This work introduces a walking pattern generator suitable for humanoids with inherent joint compliance. The proposed walking pattern generator computes the desired center of mass (COM) references on-line based on the COM state feedback. The position and velocity of the COM are the feedback variables, and the constraint ground reaction force (GRF), which is limited by the support polygon, is the control effort to drive the COM states to track the desired ones. The zero moment point (ZMP) is obtained naturally as a result of GRF interaction with robot feet. The proposed COM tracking scheme demands a lower bandwidth from the controller compared to the ZMP tracking schemes. Experimental data of the real compliant humanoid, such as ZMP, COM motion, and GRF are presented to demonstrate the validation of the proposed gait generation method.
Composing and Updating Verb Argument Expectations: A Distributional Semantic Model

The aim of this paper is to present a computational model of the dynamic composition and update of verb argument expectations using Distributional Memory, a state-of-the-art framework for distributional semantics. The experimental results conducted on psycholinguistic data sets show that the model is able to successfully predict the changes on the patient argument thematic fit produced by different types of verb agents.
HMGA proteins as modulators of chromatin structure during transcriptional activation

High mobility group (HMG) proteins are the most abundant non-histone chromatin associated proteins. HMG proteins bind to DNA and nucleosome and alter the structure of chromatin locally and globally. Accessibility to DNA within chromatin is a central factor that affects DNA-dependent nuclear processes, such as transcription, replication, recombination, and repair. HMG proteins associate with different multi-protein complexes to regulate these processes by mediating accessibility to DNA. HMG proteins can be subdivided into three families: HMGA, HMGB, and HMGN. In this review, we will focus on recent advances in understanding the function of HMGA family members, specifically their role in gene transcription regulation during development and cancer.
Poxvirus Bioinformatics Resource Center: a comprehensive Poxviridae informational and analytical resource

The Poxvirus Bioinformatics Resource Center (PBRC) has been established to provide informational and analytical resources to the scientific community to aid research directed at providing a better understanding of the Poxviridae family of viruses. The PBRC was specifically established as the result of the concern that variola virus, the causative agent of smallpox, as well as related viruses, might be utilized as biological weapons. In addition, the PBRC supports research on poxviruses that might be considered new and emerging infectious agents such as monkeypox virus. The PBRC consists of a relational database and web application that supports the data storage, annotation, analysis and information exchange goals of the project. The current release consists of over 35 complete genomic sequences of various genera, species and strains of viruses from the Poxviridae family. Sequence and annotation information for these viruses has been obtained from sequences publicly available from GenBank as well as sequences not yet deposited in GenBank that have been obtained from ongoing sequencing projects. In addition to sequence data, the PBRC provides comprehensive annotation and curation of virus genes; analytical tools to aid in the understanding of the available sequence data, including tools for the comparative analysis of different virus isolates; and visualization tools to help better display the results of various analyses. The PBRC represents the initial development of what will become a more comprehensive Viral Bioinformatics Resource Center for Biodefense that will be one of the National Institute of Allergy and Infectious Diseases' ‘Bioinformatics Resource Centers for Biodefense and Emerging or Re-Emerging Infectious Diseases’. The PBRC website is available at http://www.poxvirus. org.
Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics

Background Asthma guidelines suggest stepping-down of inhaled corticosteroids (ICSs) when asthma is stable. Objective To determine outcomes of stepping-down and prediction of outcome after stepping-down of ICSs in controlled adult asthma. Methods We performed a retrospective study on 21–81 year-old hospital-based outpatients with asthma in Japan. Protocol for stepping-down of ICSs was performed according to the GINA guideline. Failure/success of stepping-down is judged as occurring exacerbation or not for stepping-down of ICSs. Multiple logistic regression analysis was used to develop a prediction model for failed stepping-down, and then was validated by the leave-one-out cross-validation method. Our model of prediction score was calculated using receiver-operating characteristic area under the curve (AUC) analysis. The Nelson–Aalen curve demonstrated time to failure of stepping-down of ICSs. Results A total of 126 patients with asthma attempted the stepping-down of ICSs according to the guideline. Of patients with follow-up, 97 (77.0%) of stepping-down attempts were successful. Using multivariate logistic regression analysis, comorbidity with rhinitis/rhinosinusitis and phlegm grade were independent predictors of failed stepping-down of ICSs, with odds ratios of 3.8 (95% confidence interval, 1.04–13.3; P=0.04) and 1.3 (95% confidence interval, 1.01–11.5; P=0.04), respectively. These variables were then used to build a prediction score in terms of the prediction of failed stepping-down events. When the two variables were added to form the prediction score, the discriminative power of scores calculated by the prediction model using the AUC was 0.75 (range: 0.62–0.88) for naïve prediction and 0.72 (range: 0.60–0.86) after cross-validation. In the time-to-failure models, cumulative hazard ratio of failed stepping-down have fixed 1 year after stepping-down. Conclusion Our results suggest that comorbidity with rhinitis/rhinosinusitis and phlegm grade are imperative to predict failed stepping-down of ICSs in controlled patients with adult asthma.
Leaf rolling as indicator of water stress in Cistus incanus from different provenances

The relationship between leaf rolling and physiological traits under imposed water stress conditions was analyzed in C. incanus representative saplings collected at different altitudes (i.e. Castelporziano, 41°45′N, 12°26′E, 0 m a.s.l. and Natural Park of Monti Lucretili, 42°33′N, 12°54′E, 750 m a.s.l) and grown ex-situ. The hypothesis that leaf rolling reflected physiological changes occurring during water stress irrespective to the different acclimation to cope with water stress was tested. On the whole, the results show that leaf rolling is associated to an increased sub-stomatal CO2 concentration (Ci) and a decreased carboxylation efficiency (Ce). Moreover, leaf rolling in C. incanus leaves might be involved in protecting the PSII complex under water stress during the progressive inhibition of photosynthetic metabolism.
Fall 2001 Cmsc838m Term Project Testing of Database Applications

Database systems are important in research as well as industry. However, few work were done for testing database applications. Based on the design of the framework and the state generator in Chays et al's paperr1], we have designed the input generator to generate inputs (test cases) for database applications. Part of the test cases are based on the state, and the other part are independent. We have implemented a more realistic database application, the state generator and the input generator. Our experiment shows that the two sets of test cases are complementary to each other. We also notice that it is not straight forward to generate an initial state so that the inputs generated can cover possible situations for the application as many as possible. We also suggest the need to automatically compute expected outputs and to enhance Chays et al.'s design of the state generator, which cannot handle many important kinds of constraints that can be speciied in a database schema.
A new twist on an old idea: a two‐dimensional speckle tracking assessment of cyclosporine as a therapeutic alternative for heart failure with preserved ejection fraction

We recently reported that mitochondrial dysfunction, characterized by increased mitochondrial permeability transition (MPT), was present in a translational swine model of heart failure with preserved ejection fraction (HFpEF). Cyclophilin D is a key component of the MPT pore, therefore, the purpose of this study was to test the efficacy of a novel cyclosporine (CsA) dosing scheme as a therapeutic alternative for HFpEF. Computed tomography (CT), two‐dimensional speckle tracking two‐dimensional speckle tracking (2DST), and invasive hemodynamics were used to evaluate cardiac function. CT imaging showed 14 weeks of CsA treatment caused eccentric myocardial remodeling (contrasting concentric remodeling in untreated HF animals) and elevated systemic pressures. 2DST detected left ventricular (LV) mechanics associated with systolic and diastolic dysfunction prior to the onset of significantly increased LV end diastolic pressure including: (1) decreased systolic apical rotation rate, longitudinal displacement, and longitudinal/radial/circumferential strain; (2) decreased early diastolic untwisting and longitudinal strain rate; and (3) increased late diastolic radial/circumferential mitral strain rate. LV mechanics associated with systolic and diastolic impairment was enhanced to a greater extent than seen in untreated HF animals following CsA treatment. In conclusion, CsA treatment accelerated the development of heart failure, including dilatory LV remodeling and impaired systolic and diastolic mechanics. Although our findings do not support CsA as a viable therapy for HFpEF, 2DST was effective in differentiating between progressive gradations of developing HF and detecting diastolic impairment prior to the development of overt diastolic dysfunction.