Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Spectral Upsampling with Fluorescence

Modern photorealistic rendering simulates spectral behaviour of light. Since many assets are still created in different RGB color spaces, spectral upsampling of the RGB colors to a spectral representation is required to use them in a spectral renderer. Limiting the upsampled spectra to physically valid and natural, i.e. smooth, spectra results in a more realistic image, but decreases the size of the gamut of colors that can be recreated. In order to upsample wide gamut color spaces with colors outside the gamut of physically valid reﬂectance spectra, a previous approach added ﬂuorescence to create accurate and physically valid representations. We extend this approach to increase the realism and accuarcy while considering memory and computation time.
Sesquiterpenes dominate monoterpenes in northern wetland emissions

Abstract. We have studied biogenic volatile organic compound (BVOC) emissions and their ambient concentrations at a sub-Arctic wetland (Lompolojänkkä, Finland), which is an open, nutrient-rich sedge fen and a part of the Pallas-Sodankylä Global Atmosphere Watch (GAW) station. Measurements were conducted during the growing season in 2018 using an in situ thermal-desorption–gas-chromatograph–mass-spectrometer (TD-GC-MS). Earlier studies have shown that isoprene is emitted from boreal wetlands, and it also turned out to be the most abundant compound in the current study. Monoterpene (MT) emissions were generally less than 10 % of the isoprene emissions (mean isoprene emission over the growing season, 44 µg m−2 h−1), but sesquiterpene (SQT) emissions were higher than MT emissions all the time. The main MTs emitted were α-pinene, 1,8-cineol, myrcene, limonene and 3Δ-carene. Of SQTs cadinene, β-cadinene and α-farnesene had the major contribution. During early growing season the SQT∕MT emission rate ratio was ∼10, but it became smaller as summer proceeded, being only ∼3 in July. Isoprene, MT and SQT emissions were exponentially dependent on temperature (correlation coefficients (R2) 0.75, 0.66 and 0.52, respectively). Isoprene emission rates were also found to be exponentially correlated with the gross primary production of CO2 (R2=0.85 in July). Even with the higher emissions from the wetland, ambient air concentrations of isoprene were on average > 100, > 10 and > 6 times lower than MT concentrations in May, June and July, respectively. This indicates that wetland was not the only source affecting atmospheric concentrations at the site, but surrounding coniferous forests, which are high MT emitters, contribute as well. Daily mean MT concentrations had high negative exponential correlation (R2=0.96) with daily mean ozone concentrations indicating that vegetation emissions can be a significant chemical sink of ozone in this sub-Arctic area.
Construction and characterization of the yeast two-hybrid cDNA library of chicken embryo-fibroblasts

In order to seek for the host proteins which interact with the Newcastle disease virus(NDV) matrix(M) protein and to study the influence of the interactions on the assembly and budding of NDV,a cDNA library of chicken-embryo-fibroblast-(CEF) was constructed to achieve this aim.The total RNA of CEF was extracted using Trizol method,and double strands cDNA was synthesized by SMART(Switching mechanism at 5′end of RNA transcript) technique.Then homologous recombination mediated approach was used to construct cDNA library of CEF in yeast cells.The results showed that the ratio of D260 nm to D280 nm value of the extracted RNA was 1.96,and the high pure RNA acquired by this method was complete.The titer of cDNA library was 3×106 cfu with the average of inserted fragments about 1.3 kb,and the recombination rate was 100%. These data indicated that the yeast two-hybrid cDNA library of CEF is successfully constructed and may be useful for screening the host proteins interacting with M protein of NDV.
On the Connectivity Properties of Feasible Regions of Optimal Decentralized Control Problems

The optimal decentralized control (ODC) is an NP-hard problem with many applications in real-world systems. There is a recent trend of using local search algorithms for solving optimal control problems. However, the effectiveness of these methods depends on the connectivity property of the feasible region of the underlying optimization problem. In this article, for ODC problems with static controllers, we develop a novel criterion for certifying the connectivity of the feasible region in the case where the input and output matrices of the system dynamics are identity matrices. This criterion can be checked via an efficient algorithm, and it is used to prove that the number of communication networks leading to connected feasible regions is greater than a square root of the exponential number of possible communication networks (named patterns). For ODC problems with dynamic controllers, we prove that under certain mild conditions, the closure of the feasible region is always connected after some parameterization, for general communication networks and system dynamics.
Does the Inadequate Health Resources Aggravate Covid-19 Pandemic?

Review Article Inadequate health resources to tackle affected patients can aggravate Covid-19 pandemic. There were 8.92 million Covid-19 cases, 0.47 million Covid-19 deaths and 4.74 million recovered Covid-19 cases in the world as on June 21, 2020. Using a sample data of 117 countries until June 17, 2020, this study verifies and finds the support for the hypothesis that those inadequate health resources worsens Covid-19 pandemic.
Isolation, Purification and Characterization of 3-β Acetyl Oleanolic Acid from Catharanthus pusillus (Murr) G. Don (Apocynaceae)

DOI: 10.21276/haya.2018. 3.3. 4 Abstract: The whole plant of Catharanthus pusillus of family Apocynaceae was subjected to isolation and identification of chemical constituents. The extract was purified and isolated by column chromatography and thin layer chromatography (TLC). The isolated compound was then subjected to UV spectrum, FTIR for identification of functional groups and 1 HNMR and 13 C-NMR for identification of protons and carbon atoms. ESI-MS was done to identify the molecular weight of the isolated compound. From the interpretation of the spectral data, the isolated compound was found to be 3-β acetyl oleanolic acid.
Excessive Fluoride in Drinking Water Alters the Trace Metal Ions in the Seminal Plasma

Original Research Article Fluoride poisoning is a severe health problem in many parts of the world where fluoride contamination in drinking water is more than 1.5 ppm of fluoride. The aim of the present study was to explore the effect of fluoride in different parameters of the blood and semen in order to investigate as a marker of fluoride toxicity. In the present study, 55 male fluorosis cases were recruited for the study. The seminal profile and trace metal ions were examined in the seminal plasma of the subject and controls. The mean values of the semen volume, viability, motility, viscosity, seminal pH, sperm density and liquefaction time were found to be changed significantly in the subject as compared to the age matched controls. The concentration of Zn and Se found to be reduced while Cu and Fe were increased significantly when compared with their respective controls. The higher intake of fluoride in ground water may be associated to adverse reproductive system. The investigation of metal ions and seminal profile are snapshot of the diagnosis of the assessment of the risk of fluoride toxicity.
Bootstrapping of Batch Sequence-to-Pointcloud Registration for Groundtruth Generation

Generating large amounts of reference data with very little manual intervention is required for performance analysis and recent learning methods. We present a method for bootstrapping the alignment of video sequences to laser scan data based on few manually annotated sequences with similar camera trajectories. The method consists of three steps: inference on a directed path graph constructed from image wise cross correlation is used for coarse alignment of two video sequences. Subsequently, we apply graph matching based on SIFT and spatial similarity to find corresponding control points between sequences and hence estimate the camera pose. The final step is a majority voting mechanism over all assignments, thereby regularizing over time. Thereby, the method is robust to visual clutter of dynamically moving parts as well as changes in illumination. Comparison of results with ground truth show that the performance of our method is en par with the manual annotation pipeline albeit significantly faster: our method was used to register a stereo and optical flow evaluation dataset in only 1/5th of the time that would be required for complete manual annotation.
The use of remote sensing and GIS in public health a case study: Geo-spatial risk analysis for Schistosomiasis in a marginalized community, Kenya.

Schistosomiasis, also known as bilharzia, is a disease caused by parasitic worms. It is prevalent in tropical and subtropical areas, especially in poor communities without access to safe drinking water and adequate sanitation. The field of medical geographic information systems (Medical GIS) has become extremely useful in understanding the bigger picture of public health. GIS has been used to mapping the epidemiological information which includes the burden of disease epidemic transmission, spatial distribution and the determinants of health related states or events in specified population with reference to space and time. Perhaps, remote sensing and GPS has been integrated under the GIS umbrella for disease surveillance, situation analyze and the spatial modeling of disease transmission. GIS tools were used to store, visualize, analyze, and interpret geographic data from the mapped geographical location. These data included factors associated with risk to schistosomiasis. Pertinent data to predict the trends and to portray spatial risk-analysis of the disease was performed. GIS data included attributes, or descriptive information. In this case, the pattern of waters data set that could be mapped as possible areas for the species causing schistosomiasis was done with ArcGis application. The descriptive data was searched and display of associated attributes was performed using Raster data set in order to obtain a risk map using a GIS software. Despite of the area not mapped as high risk, the trend seems to have been on a salient change with economic activities being projected towards the use of the lake water for some livelihoods such as fishing, daily chores among women washing clothes and a common habit of children playing with water. Population was projected to be on upsurge and straining the pastoral activity as the main income source, the deviation to other related economic activities were perceived to be on rise, especially fishing. Results showed pertinent information compromising the initiative to mitigate the salient schistosomiasis disease, as being the higher rate of HIV transmission. The final conclusions the deficit on PHC centers is mainly related to total number of population. Using Remote Sensing and GIS is a very valuable tool for Public Health Practice and Research, for can be helpful for health decision maker to guide them where to direct health policies and better to visualize health problem and it is recommended that, Public Health Practitioners and Researchers to consider the use of remote sensing and GIS.
Software Design Of Intelligent System For Monitoring And Preventing Smartphone Addiction

: This research proposes a computer software design of an intelligent system, which is capable of monitoring smartphone usage. This provides recommendations for parent, teacher, and other stakeholder, in an attempt to prevent addiction collaboratly. In addition, at least 80% of the 72.7 million internet subscribers in Indonesia utilize this gadget, and an over usage tends to lead to addiction. Meanwhile, several treatments have being applied in order to proffer solutions, and prevention has proven to be of great important, which is only effectively conducted by evaluating a set of precise behavior data, collected from the daily activities of the student. Furthermore, it is also possible to create new knowledge and make recommendations to parents or teachers, in an attempt to prevent this addiction. Hence, it is important to design computer software that is capable of collecting, processing, and making such suggestions.
Speed Control of Induction Motor Drives using Digital Signal Controllers (DSC)

Induction motor is widely used in small scale as well as the large scale industries. In industrial sector, there prevails a major drawback in speed controlling of three phase induction motor drives when subjected to heavy loads. These are called as disturbances in a motor. A motor can have both the internal disturbance as well as the external disturbance. To eliminate these types of disturbance a microcontroller that can work with all capabilities of a Digital Signal Processor (DSP) is employed. The digital signal controllers are coded with the vector control or field oriented control scheme to control the speed of the three phase induction motor. The dsPIC microcontroller is a 16-bit micro controller unit ((MCU) with computation and throughput capabilities of DSP processor in single core. A driver circuit of closed loop IGBT is used to limit the fluctuations of current in the induction motor.
Hypoglycemic Effect of an Opuntia streptacanta Lemaire Dialysate

Several reports confirm an important Opuntia streptacantha Lemaire hypoglycemic effect up to three hours after its ingestion in different preparations. Moreover, there is a direct correlation between Opuntia doses and its hypoglycemic effect (Frati-Munari et al., 1989). However, doses larger than 300 mg represent a limitation because it is very difficult for NIDDM patients to eat the Opuntia for long periods of time.
A GENTLE APPROACH TO IMPRECISE PROBABILITY

I had the good fortune of meeting Teddy Seidenfeld early in my career and learning from him over many years how to approach probability in general, and imprecise probability in particular. I first learned about Teddy’s work from Henry Kyburg, Teddy’s undergraduate teacher and my Ph.D. supervisor, who introduced me to Teddy’s and Larry Wasserman’s work on dilation, among other striking contributions that Teddy made while I was graduate student in the 1990s, many with his longtime collaborators Jay Kadane and Mark Schervish. I cannot overstate the impact Teddy’s work has had on me. He will doubtlessly conclude that I have not learned from him well enough, but I am nonetheless grateful for his years of instruction. The field of of imprecise probability has matured, in no small part because of Teddy’s decades of original scholarship and essential contributions to building and sustaining the ISIPTA community. Although the basic idea behind imprecise probability is (at least) 150 years old, a mature mathematical theory has only taken full form in the last 30 years. Interest in imprecise probability during this period has also grown, but many of the ideas that the mature theory serves can be difficult to apprehend to those new to the subject. Although these fundamental ideas are common knowledge in the ISIPTA community, they are expressed, when they are expressed at all, obliquely, over the course of years with students and colleagues. A single essay cannot convey the store of common knowledge from any research community, let alone the ISIPTA community. But, this essay nevertheless is an attempt to guide those familiar with the basic Bayesian framework to appreciate some of the elegant and powerful ideas that underpin the contemporary theory of lower previsions, which is the theory that most people associate with the term ‘imprecise probability’.
Bounded Traveling Wave Solutions of the (3+1)-Dimensional Zakharov- Kuznetsov Equation with Power Law Nonlinearity

Review Article In this paper, the bifurcation theory of dynamical system is applied to study the traveling waves of the (3+1)dimensional Zakharov-Kuznetsov Equation with Power Law Nonlinearity. By transforming the traveling wave system of the Zakharov-Kuznetsov equation into a dynamical system in , we derive various parameter conditions which guarantee the existence of its bounded and unbounded orbits. Furthermore, by calculating complicated elliptic integrals along these orbits, we obtain exact expressions of bounded traveling wave solutions of the (3+1)-dimensional Zakharov-Kuznetsov equation for n=1.
Study of Various Downlink Systems with Multi Antenna Users

The multiplexing gain for many users in downlink multi-antenna transmission system is only limited by the number of transmit antennas N and use of these antennas. In this paper we try to answer the question if the N data streams should be divided among few users (many streams per user) or many users (few streams per user, enabling receive combining). The prime work done in this paper is comparing the two SDMA strategies i.e ZFC (receive combing) and BD (multi-stream multiplexing). While contradicting observations on this topic have been reported in prior works, we show that selecting many users and allocating one stream per user (i.e., exploiting receive combining) is the best candidate under realistic conditions. This is explained by simulating results for Average Sum Rate and BER parameter. We also show that use of DFE method over MMSE method produces much better results, reducing the BER and increase the data rate. This fundamental result has positive implications for the design of downlink systems as it reduces the hardware requirements at the user devices and simplifies the throughput optimization.
Graphene Related Materials Preparation Using EPD

In 2008 graphene was one of the most expensive material on the earth. But now graphene was sell in large quamtities.This is because of evolution of preparation of graphene methods. Now a days there are many methods are there to prepare graphene and garphene related materials. One of the efficient method is Electro phoretic deposition. In this review we will see how the graphene is prepared using electrophoretic deposition and grapheme related materials are also prepared using electrophoretic deposition.
Quantifying, Characterizing, and Mitigating Flakily Covered Program Elements

Code coverage measures the degree to which source code elements (e.g., statements, branches) are invoked during testing. Despite growing evidence that coverage is a problematic measurement, it is often used to make decisions about where testing effort should be invested. For example, using coverage as a guide, tests should be written to invoke the non-covered program elements. At their core, coverage measurements assume that invocation of a program element during any test is equally valuable. Yet in reality, some tests are more robust than others. As a concrete instance of this, we posit in this paper that program elements that are only covered by flaky tests, i.e., tests with non-deterministic behaviour, are also worthy of investment of additional testing effort. In this paper, we set out to quantify, characterize, and mitigate “flakily covered” program elements (i.e., those elements that are only covered by flaky tests). To that end, we perform an empirical study of three large software systems from the OpenStack community. In terms of quantification, we find that systems are disproportionately impacted by flakily covered statements with 5 and 10 percent of the covered statements in Nova and Neutron being flakily covered, respectively, while <inline-formula><tex-math notation="LaTeX">$<1\%$</tex-math><alternatives><mml:math><mml:mrow><mml:mo><</mml:mo><mml:mn>1</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="vaidhyamsubramanian-ieq1-3010045.gif"/></alternatives></inline-formula> of Cinder statements are flakily covered. In terms of characterization, we find that incidences of flakily covered statements could not be well explained by solely using code characteristics, such as dispersion, ownership, and development activity. In terms of mitigation, we propose GreedyFlake – a test effort prioritization algorithm to maximize return on investment when tackling the problem of flakily covered program elements. We find that GreedyFlake outperforms baseline approaches by at least eight percentage points of Area Under the Cost Effectiveness Curve.
Khlui-Phiang-Aw Sound Synthesis Using A Warped FIR Filter

This article presents an implementation of the warped finite impulse response filter on the khlui-phiang-aw sound synthesis using subtractive method. The khlui-phiang-aw is an air-reed instrument in local Thai music. In general, the subtractive synthesis consists of a signal generator, and a filter. The generator generates a rich spectrum signal at the desired pitch, then the filter shapes the spectrum to the desired frequency profile. This filter can be implemented using a finite impulse response filter, but with a very high filter order. This is because the conventional filter design implies a uniform frequency resolution, while the human auditory frequency resolution is non-uniform. The fine resolution at low frequency results in excessive resolution of the high frequency. Frequency warping is a method that transforms the uniform resolution to a non-uniform one which can be adjusted to conform to the human auditory frequency resolution. The warped finite impulse response filter is a filter that is designed on the warped frequency axis thus reduces the filter order. The filter order can be reduced further by applying the signal decimation prior to the warped finite impulse response filter design. The quality of the synthesized sound is assessed by comparing the spectrum of the original khlui-phiang-aw sound to that of the synthesized sound using the cross-correlation coefficient in the frequency domain. It was found that the synthesis that used the finite impulse response filter yielded a better result. However, the warped finite impulse response filter implementation required a lot less filter order with a subtle sound quality degraded.
IJSRD-International Journal for Scientific Research & Development| Vol. 4, Issue 09, 2016 | ISSN (online): 2321-0613

Pervious concrete is an ideal sustainable solution continuing to gain popularity as a viable paving material and a tool of sustainable development because of its environmental benefits. It has been considered as an environmental friendly building material which is quickly gaining recognition as a green building component. Many researches has been conducted to investigate the possibility of replacing the environmentally unfriendly Portland cement by supplementary cementitious materials, such as fly ash, silica fume, cement kiln dust (CKD) and ground granulated blast-furnace slag (GGBFS), and coarse aggregate by recycled concrete aggregate to enhance the environmental benefits of pervious concrete. The main aim of this study is to review the performance of pervious concrete with these sustainable materials replacing or partially replacing cement and aggregate. It was found that substituting the natural aggregate with recycled aggregate resulted in a considerable increase of permeability coefficient whereas the mechanical properties of such concretes were adversely affected up to a certain degree. It is also observed that partially replacement of cement with cementitious materials fly ash, silica fume, rice husk ash, cement kiln dust and furnace slag can lead to enhancing the compressive strength of pervious concrete and permeability of pervious concrete. It is concluded that waste materials significantly contribute to improving of the environmental friendliness of pervious concrete.