Miracle-dz/UniFAR-FTUs huggingface dataset:
Model reference adaptive control for distributed parameter systems of parabolic type by finite dimensional controller

The problems of constructing model reference adaptive control systems for distributed parameter systems of the parabolic type are considered. Although the distributed parameter systems are infinite-dimensional, the proposed control scheme is constructed from finite-dimensional compensators instead of infinite-dimensional ones. It is shown that the resulting control systems are uniformly bounded for any bounded reference signal which the output of the process must follow, and that the tracking error converges to a small residual region whose amplitude is determined freely. Some simulation results are presented which show the effectiveness and simplicity of the proposed method. <<ETX>>
FLEXIBLE COMPACT HIGH-ORDER FD-FD ALGORITHM FOR COMPUTING MODE FIELDS OF MICROWAVE WAVEGUIDES WITH REGULAR AND REENTRANT CORNERS

We present a highly accurate frequency-domain finite-difference algorithm for computing mode field solutions of microwave waveguides with regular and reentrant corners. Based on FBS (Fourier-Bessel series)-derived 3-by-3 compact coefficients, our method allows for a flexible layout of the 2-D uniform grids so that distance from the waveguide boundaries to the adjacent unknowns can be arbitrary. Fourth to sixth-order convergent rates of the proposed coefficients are verified by resonancefrequency error analysis for rectangular microwave waveguides for both TE/TM polarizations. We also study the first four Neumann/Dirichlet eigenvalues of the L-shaped MW-WGs calculated by the flexible scheme, and the Neumann results are reported for the first time. Although our results achieve sixthorder accuracy for analytic modes, the order of accuracy is about one and a third for both fundamental TE and TM modes due to singularity around the reentrant corner.
The variability of NDVI over northwest China and its relation to temperature and precipitation

Land vegetation plays a major role in the global climate change through the carbon cycle, and climate change in turn affects vegetation growth and its photosynthetic activity. In arid and semi-arid areas, sparse vegetation cover characterizes environments. Thus quantitative temporal series analysis of vegetation distribution and its variations enables observing annual trends, and helps to find out the reason for environment variability. There are serious environmental problems, such as deforestation, soil erosion, salinization, and desert encroachment in northwestern China, its natural conditions are very delicate. In this paper, we build a time series of vegetation change by the NDVI (normalized difference vegetation index) covered northwest regions over 19 years (1982-2000), and analyze the time serial NDVI variability using three methods, which are simple differencing, slope map of NDVI, slope map of biomass. The correlation analysis between NDVI with the temperature and precipitation in northwestern China was carried out. The results showed that there was significant positive correlation between NDVI and precipitation but that temperature was not strongly correlated with NDVI in northwest China.
Where do I know that? A distributed multimodal model of semantic knowledge

As computers have grown more and more powerful, computational modeling has become an increasingly valuable tool for evaluating real world findings. Likewise, brain imaging has become increasingly powerful as is evidenced by recent fMRI findings that support the exciting possibility that semantic memory is segregated by modality in the brain (Goldberg et al., 2006b). The present study utilizes connectionist modeling to put the distributed multi-modal framework of semantic memory to the test, and represents the next step forward in the line of sensory-functional models. This model, based around the McRae et al. (2005) feature production norms, includes individual implementations of each modality: visual colour, visual motion, visual form and surface, olfactory-gustatory, encyclopedic, tactile, auditory, and functional. A cross-modal convergence zone (Hub), visual decoding region, and abstracted implementations of wordforms and images are also included to ultimately simulate picture naming. Focal lesions are simulated in each semantic modality, successfully recreating various category-specific deficits, many of which have been reported in patient case studies. Categories are expanded from a living-nonliving dichotomy to include animals, artifacts (tools, utensils, containers, and clothing), fruits and vegetables, and musical instruments. Hub damage recreates semantic dementia with an additional slight but significant impairment of animals over artifacts.
Tissue Distribution Study On Apocynin Nitrone Derivative AN-1 After Intravenous Administration

Background Apocynin, a main component extracted from the root of Picrorhiza kurroa Royle, was a well-known NADPH oxidase inhibitor and reported to have effect on lung injury, liver injury, diabetes and asthma. AN-1, a nitrone derivative of apocynin, was found to exhibit significant effect on treatment of acute lung injury. Aim In order to carry out further preclinical study, it is important to reveal in vivo disposition of AN-1. A simple and rapid high-performance liquid chromatography (HPLC) method was developed to disclose the tissue distribution behavior of AN-1 in Sprague-Dawley (SD) rats. Methods A HPLC method was developed and validated to measure the concentration of AN-1 in tissue samples with carbamazepine as internal standard (IS). The mobile phase consisted of water and methanol (47:53, v/v), the ? ow rate was 1 mL/min, and an ultraviolet (UV) detector was used at wavelength of 279 nm. The tissue distribution study of AN-1 was performed in Sprague-Dawley (SD) rats after a single intravenous dose of 40 mg/kg. Results The developed HPLC-UV method was of good specificity, precision ( 0.998) in tissues including heart, liver, spleen, lung, kidney and brain. After administration, AN-1 was rapidly distributed in tissues and reached peak concentration with time, which showed a high distribution in liver and kidney. It demonstrated a longer T 1/2 and higher deposition of AN-1 in lung when compared with parent compound apocynin. Conclusion The results showed increased lung distribution of active ingredient after nitrone derivation of apocynin. It may well elucidate the more potential efficacy of AN-1 in acute lung injury treatment and support further development of AN-1 as a promising candidate.
Equations of motion for the triaxial attitude control testbed

The triaxial attitude control testbed has been developed as part of a research program on spacecraft multibody rotational dynamics and control. In this paper, equations of motion are derived and presented in various forms. Actuation mechanisms are incorporated into the models including: moment actuators that are fixed to the triaxial base body, as well as reaction wheel actuators and proof mass actuators that are fixed to the triaxial base body. The models also allow incorporation of unactuated auxiliary bodies that are constrained to move relative to the triaxial base body. The models expose the dynamic coupling between the rotational motion of the triaxial base body, the relative or shape motion of the auxiliary degrees of freedom, and dynamics associated with actuation mechanisms.
Die defect classification using image processing

This work presents die defect classification using image processing. The detection of the flaw is based on the defect features in the die. Each unique defect or feature structure is defined from samples that has been collected by Visual Inspection Inspectors. The defects are then grouped into user definition categories such as blob, pin hole, underfill and die crack.This work also describes the image processing algorithms utilized to perform defect classification. The defect classification was developed from MATLAB program.It is aimed at locating the Region of Interest of the die from the image and extract it. The extracted image is then used to classify or recognize the specific classification category of the defect.Total samples that is being used in this project is 67 die samples. The results obtained from this work shows the overall accuracy of 94% for die defect detection and 87% for defect classification.
Polarimetric radiometer sensing of sea surface winds using SHOWEX data to determine the Stokes harmonic coefficients

This research utilizes the analysis of data acquired from microwave remote sensing instruments deployed on the Twin-Otter aircraft during the Shoaling Waves Experiment (SHOWEX 99) between November 11 to December 4, 1999. The principal data comes from the NOAA/ETL 37 GHz polarimetric radiometer and APL/UW coherent real-aperture radar (CORAR), a dual polarized X-band radar (which for the purposes of this investigation is being used as an incoherent scatterometer) A principal focus is the study of the magnitude and variance of the harmonic coefficients of the Stokes parameters (mainly the Fourier coefficients, "Q/sub 2/" and "U/sub 2/") at a variety of incidence angles, as a function of wind speed and friction velocity. An examination of the azimuthal variation of the polarimetric radiometer (PR) data from seven different flight days during SHOWEX (with winds ranging from 7 to 12 m/s) showed that the Stokes parameters (Q & U) increase with wind speed consistent with results obtained during the COPE Experiment in 1995. However, the variability observed at higher incidence angles increases the likelihood of errors in applications.
Edge-Based Demosaicking Method Using Uncorrelatedness With Sensors for CFA

This paper presents a multiple edge detection by computing uncorrelatedness of the neighboring pixels in four locations: up, down, left, and right. To recover missing G in R and missing G in B, we use the derived weightings and the pixel contributions from the neighboring pixel information. When demosaicking the R and B arrays, an interpolation is used for the recovery of the missing R in B and missing B in R. The experimental results show that the proposed overall system outperforms the existing works. The proposed work is especially better than the state-of-the-art method by 1.23 dB in composite peak signal-to-noise ratio (CPSNR) and by −0.15 in a Spatial Extension to the CIE L*a*b* DeltaE Color Difference Metric (S-CIELAB), the lower the better, averaged over a standard image dataset.
PRODUCTION OF MALTOOLIGOSACCHARIDES FROM HUTAN JATI VARIETY CULTIVAR TACCA (Tacca leontopetaloides) STARCH

This research aimed to extract and characterize the physicochemical properties of starch from Tacca tuber, to determine the optimum conditions for enzymatic hydrolysis to produce maltooligosaccharides, and to analyze the character of these maltooligosaccharides. The analysis was conducted by calculating the amount of reducing sugar, total sugar, and the degree of polymerization, and by using the TLC (Thin Layer Chromatography) and HPLC (High-Performance Liquid Chromatography) analyses. The Hutan Jati variety cultivar of Tacca was selected from three Tacca variety cultivars (Hutan Jati, Pulau Katang and Gunung Batur) to produce maltooligosaccharides by enzymatic hydrolysis of crude Brevibacterium sp. α-amylase. The optimum conditions for the enzymatic hydrolysis of Hutan Jati variety cultivar Tacca starch for the production of maltooligosaccharides were obtained at a substrate concentration of 3% (w/v) and a ratio of 1:5 enzyme and substrate at 6 hours incubation time. From 250 mL of fresh hydrolysate, some 34.49 grams of powder maltooligosaccharide were produced. The TLC and HPLC results showed a similar yield of both the liquid and powder maltooligosaccharides with maltose, maltotriose, and maltotetraose as the main products. Considering its physicochemical characteristics and the product of its maltooligosaccharides, the starch from the tuber of Hutan Jati variety cultivar Tacca possessed strong potential for the future production of maltooligosaccharides particularly, maltotriose and maltotetraose, in food industries.
Toward a Minimal Representation of Aerosols in Climate Models: Description and Evaluation in the Community Atmosphere Model CAM5

Abstract. A modal aerosol module (MAM) has been developed for the Community Atmosphere Model version 5 (CAM5), the atmospheric component of the Community Earth System Model version 1 (CESM1). MAM is capable of simulating the aerosol size distribution and both internal and external mixing between aerosol components, treating numerous complicated aerosol processes and aerosol physical, chemical and optical properties in a physically-based manner. Two MAM versions were developed: a more complete version with seven lognormal modes (MAM7), and a version with three lognormal modes (MAM3) for the purpose of long-term (decades to centuries) simulations. In this paper a description and evaluation of the aerosol module and its two representations are provided. Sensitivity of the aerosol lifecycle to simplifications in the representation of aerosol is discussed. Simulated sulfate and secondary organic aerosol (SOA) mass concentrations are remarkably similar between MAM3 and MAM7. Differences in primary organic matter (POM) and black carbon (BC) concentrations between MAM3 and MAM7 are also small (mostly within 10%). The mineral dust global burden differs by 10% and sea salt burden by 30–40% between MAM3 and MAM7, mainly due to the different size ranges for dust and sea salt modes and different standard deviations of the log-normal size distribution for sea salt modes between MAM3 and MAM7. The model is able to qualitatively capture the observed geographical and temporal variations of aerosol mass and number concentrations, size distributions, and aerosol optical properties. However, there are noticeable biases; e.g., simulated BC concentrations are significantly lower than measurements in the Arctic. There is a low bias in modeled aerosol optical depth on the global scale, especially in the developing countries. These biases in aerosol simulations clearly indicate the need for improvements of aerosol processes (e.g., emission fluxes of anthropogenic aerosols and precursor gases in developing countries, boundary layer nucleation) and properties (e.g., primary aerosol emission size, POM hygroscopicity). In addition, the critical role of cloud properties (e.g., liquid water content, cloud fraction) responsible for the wet scavenging of aerosol is highlighted.
Characterization of pericarp fractions of yellow passion fruit: density, yield of flour, color, pectin content and degree of esterification

Brazil is the major world producer and consumer of yellow passion fruit (Passiflora edulis Sims), with a production of 703,489 metric tons in 2016. The northeast region of Brazil is the major producer, covering around 70% of the crop (Onstituto Brasileiro de Geografia e Estatística, 2017). The industrialization of passion fruit to obtain pulp generates around 54 thousand tons of waste per year in Colombia, such as seeds and rinds (López-Vargas et al., 2013). On Brazil, approximately 40% of the production is processed by juice industries (Pimentel et al., 2009). The amount of rind can reach 50.7% of the mass of ripe fruit, or 79.2% of the green fruit (Dliveira & Resende, 2012).
The evolutionary history of Leucaena: Recent research, new genomic resources and future directions

Keynote paper presented at the International Leucaena Conference, 1‒3 November 2018, Brisbane, Queensland, Australia.Ancestral genome duplication, genomic diploidization, allopatric diploid speciation and recent allotetraploidy (hybrid tetraploid formation) have all contributed to the complex evolutionary history of the genus Leucaena Benth. (Leguminosae: Caesalpinioideae: mimosoid clade). This complexity makes Leucaena an exemplary group to investigate the impacts of these diverse mechanisms on plant speciation across time and space. Furthermore, this complex evolutionary history offers unique opportunities and challenges for translational applied research to improve the use of Leucaena in agroforestry, livestock production, soil stabilization and enrichment and biofuels. Here we review and synthesize historical and recent research on the evolutionary history of Leucaena and highlight the availability of new genomic data resources and tools.
HPV Viral Test for Primary Cervical Cancer Screening at the Nabil Choucair Health Center in Senegalese Women 30 to 65 Years Old

The objective of this study was to describe demographics of patients who had benefited from a cervical cancer screening by an HPV viral test; to specify the protocol used to establish diagnosis using the test results; and to describe treatment and follow-up methods on positively tested patients. This was an descriptive prospective cohort study conducted at the Nabil Choucair health center and the Military Hospital of Ouakam from May 1st 2017 to January 30th 2018. The study involved 144 patients who had benefited from an HPV ABBOOT m2000 viral test. The studied parameters included socio-demographic characteristics, clinical aspects, test results, diagnosis, treatment and follow-up. The data was collected on a form and the statistical analysis was performed using Epi-info 7. In this study we collected 144 women. The mean age of the patients was 39.9 years. Patients were predominantly married (84%) and mostly housewives (48.1%), with slightly more than half (55.6%) of them who attended school. More than half of the patients 61.8% were under contraception. Almost all patients (92.4%) were of child bearing age. The average gravidity was 3.4 with an average parity of 2.7. The average age at marriage was 22.6 years mostly in a monogamous household (56.8%). The average age at first intercourse was 22.1. The average age at first pregnancy was 23.9. More than ¾ of women (78.3%) had one partner; however, note that 21.7% of the patients had 2 or more partners. The viral test was positive in 17 patients (11.8%). Papillomaviruses 16 and 18 were the most encountered (56%). Colposcopy was normal and satisfactory in 9 patients (53%), 2 patients had abnormal minor changes (11.7%) and 2 cases had major changes (11.7%). Cervical biopsy was performed in 2 patients (11.7%), histology showed CIN3 and micro invasive carcinoma. For those patients a conization was performed. The postoperative course was simple. The HPV viral test for primary cervical cancer screening offers opportunities and is possible in developing countries such as Senegal despite its limited means.
The C standard formalized in Coq

values hide internal details of the memory such as permissions, padding and object representations. They are therefore used in the external interface of the memory model and throughout the operational semantics. Memory trees, abstract values and bits with permissions can be converted into each other. These conversions are used to define operations internal to the memory model. However, none of these conversions are bijective because different information is materialized in these three data types: Abstract values Memory trees Bits with permissions Permissions X X Padding always E X Variants of union X X Mathematical values Xvalues Memory trees Bits with permissions Permissions X X Padding always E X Variants of union X X Mathematical values X This table indicates that abstract values and sequences of bits are complementary. Memory trees are a middle ground, and therefore suitable to describe both the lowlevel and high-level aspects of the C memory.
Assessment of the 12-Lead Electrocardiogram as a Screening Test for Detection of Cardiovascular Disease in Healthy General Populations of Young People (12 – 25 Years of Age)

The American Heart Association and the American make every effort to avoid any actual or potential co may arise as a result of an outside relationship or a p or business interest of a member of the writing members of the writing group are required to co Disclosure Questionnaire showing all such relatio perceived as real or potential conflicts of interest. Elsayed Z. Soliman, MD, FAHA, FACC Jersey Chen, MD, MPH G. Paul Matherne, MD, FAHA, FACC Steven F. Bolling, MD, FAHA Matthew J. Mitten, JD Arthur Caplan, PHD Gary J. Balady, MD, FAHA Paul D. Thompson, MD, FAHA, FACC, on behalf of the American Heart Association Council on
Effect of Canopy Management Practices during forward Pruning on Berry Development and Photosynthesis in Tas-A-Ganesh Grapes

Effect of canopy manipulation during forward pruning on berry development and photosynthetic parameters was studied in Tas-A-Ganesh grape grafted onto Dogridge rootstock. Canopy manipulation including shoot thinning, leaf removal, shoot thinning with leaf removal, and shoot pinching, was done after forward pruning. Significant differences were observed in yield and quality. Shoot thinning to about 40 shoots per vine, with removal of three basal leaves, resulted in significantly higher yield, followed by that in shoot thinning alone. Lowest yield was recorded in the Control. Leaf removal drastically reduced bunch development affecting berry weight, diameter and length compared to other treatments. Among different canopy manipulation treatments, higher average bunch weight was recorded in shoot thinning plus leaf removal, whereas, lowest bunch weight was recorded with leaf removal alone. At harvest, the amount of total soluble solids in berries was low in leaf removal at pre-bloom stage, but increased in the treatment of shoot thinning with leaf removal, at the same stage. Different canopy manipulation treatments had significant impact on photosynthesis and transpiration rates. Overall results indicated that canopy manipulation practices such as shoot thinning, to retain 40 shoots per vine with or without leaf removal, followed by pinching, can be recommended to grape growers.
Using Student Learning Outcomes Assessment to Assure EC2000 Program Effectiveness

The Electrical and Computer Engineering (ECE) Department of Gannon University has devised a process in which faculty define specific graded (key) assignments that are linked to the (course-level) student learning objectives. A student is only permitted to pass a course if they have also met or exceeded the minimum passing criteria defined in these key assignments. In this way, each student passing a course is measurably justified in having met the course objectives. By the virtue of the process, all students who graduate from the program must have also met or exceeded the minimum standard on every course objective, and consequently ensures that these graduates have all (individually) met or exceeded the overall program goals.
Blast disease intimidation towards rice cultivation: a review of pathogen and strategies to control

Rice blast is the most destructive disease to rice production globally. The objective of this review is to know the fundamentals of rice blast disease and to know the different methods for controlling blast disease. Rice blast disease has been recognised in more than 85 rice-producing countries worldwide. Currently, more than 100 R genes for blast resistance have been identified in rice. These resistance genes can be introgressed into a susceptible variety through marker-assisted backcrossing. Infested residues and seeds are the primary inoculum sources to spread the disease. Considering the importance of this disease, various management approaches have been practiced to control blast disease. The use of resistant varieties is an important measure to manage the disease. This review will provide use fulfacts about the pathogen and its epidemiology, assessment of resistance genes and effective control measure of rice blast disease through breeding and management. This update information will be helpful and guide to the research students and rice breeders to develop durable blast resistant rice varieties. So farmers will able to manage the blast disease in future.