Miracle-dz/UniFAR-FTUs huggingface dataset:
Food Safety Assessment of Genetically Modified Rice

Up to now,no countries allow commercialization of genetically modified(GM) rice concerning food and environment safety problems,even if the development of GM rice has matured. Whereas,transgenic rice has been found on our market,so it is urgent to develop food safety assessment methods of GM rice and related criterions to regulate the commercialization and production of GM rice. This article reviewed food safety assessment studies of transgenic rice,including substantial equivalence of nutrition,nutritional assessment on animals,in vivo and in vitro toxicology studies,allergenicity assessment and horizontal transformation of introduced gene,in order to provide reference for further food safety assessment work and foundation of criterion system.
Doelgericht beoordelen van software

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Patterns and weak turbulence in surface waves

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Risk Factors and Etiologies of Stroke in Young Adults:6 Years Retrospective Study

Background: Although a large number of studies have been published on the incidence of stroke in young adults, very few have looked at etiologies in the youth of the Middle East, and none have focused on Oman. Method: Retrospective study carried out at the Royal Hospital in Muscat. Electronic Charts were reviewed identifying all patients under 50 years of age admitted for acute stroke from 2009 to 2014. We analyzed the detailed history, past medical history, risk factors, neurologic and systemic examination, and brain imaging (CT or MRI) for each case. We identified 588 young patients163 were excluded due to other diagnosis or absence of neuroimaging (CT or MRI). Results: Out of the 425 stroke cases. Overall, 60% of the cases were 41-50 years of age. Ischemic Stroke (IS) occurred in 69.6% compared to 30.4% for Intracranial hemorrhage (ICH). Hypertension(H) was the number one risk factor for both IS and ICH, with a prevalance 50.7% and 60.5% respectively. DM was the second leading risk factor, with a prevalence of 32.1% in IS and 27.1% in ICH. Underlying etiologies were identified in only 35.5% of cases in IS and 29.5% in ICH. Cardiac etiology and vasculopathy were most common for IS. Aneurysm was the main underlying etiology for HS. Conclusion: In young adult Omanis, IS was more frequent than ICH. Men were more affected than women. H and DM were the leading risk factors for both stroke subtypes. Cardioembolism and vasculopathy were the main etiologies for IS. Cerebral anuerysm for HS.
Fractured Reservoir Prediction – A Case Study in the Sichuan Basin*

Fractured reservoir is one of important reservoir types for hydrocarbon exploration, and a major target for shale gas exploration. The geophysicists have presented diverse techniques for the fractured reservoir detection in the literature, such as fast and slow shear waves, azimuthal attributes of P-wave, AVOZ of P-wave and pre-stack inversion. The application of these techniques is challenging for the deep reservoir because the seismic data are usually poor caused by the problems in seismic acquisition design and processing. In this paper, the research targets at the fracture prediction in the fluvial clastic reservoir in Sichuan Basin, including the acquisition design of VSP and fullazimuth surface seismic, VSP processing and parameter estimation, VSP-driven surface seismic processing, structural and depositional interpretation, and the fracture prediction using attributes extracted from P-wave surface seismic data, VSP data and well logging data. The case study shows that diagenesis study is necessary for the fractured reservoir detection, and different methods should be applied for the reservoirs with continental and marine facies. For the reservoir with continental facies, the sedimentary facies interpretation is required to predict the fracture-developed zones in the reservoir. Based on that, the forming model of the oil and gas reservoir should be researched to predict the hydrocarbon-bearing fractured reservoir.
Detecting Bias in Monte Carlo Renderers using Welch’s t-test

When checking the implementation of a new renderer, one usually compares the output to that of a reference implementation. However, such tests require a large number of samples to be reliable, and sometimes they are unable to reveal very subtle differences that are caused by bias, but overshadowed by random noise. We propose using Welch’s t-test, a statistical test that reliably finds small bias even at low sample counts. Welch’s t-test is an established method in statistics to determine if two sample sets have the same underlying mean, based on sample statistics. We adapt it to test whether two renderers converge to the same image, i.e., the same mean per pixel or pixel region. We also present two strategies for visualizing and analyzing the test’s results, assisting us in localizing especially problematic image regions and detecting biased implementations with high confidence at low sample counts both for the reference and tested implementation.
Digital Watermarking SVD-DWT-DCT Using Kalman Filter

: This research paper describes the digital watermarking of transform domain. In image watermarking, information is embedded in cover image to prove ownership. This information must remain detectable even if image is manipulated. Applications of digital image watermarking are copyright protection, health care, fingerprinting, id card security, authentication & integrity verification. In this paper SVD-DWT-DCT watermarking technique using Kalman filter is describes.
Aluminium Electrolytic Capacitors Accelerated Lifetime Modeling

The aim of this work is to estimate the expected lifetime of a capacitor without basing reliability evaluation just on handbook based predictions. This approach is meant to overtake the non-homogeneous End of Life criteria proposed by the manufacturers and the difference between the real working condition in the application and the standardised condition of the criteria, as well. To obtain this result, the measured degradation of the electrical parameters of capacitors, such as Capacitance and ESR, is compared with a physical chemical model, whose constants are previously determined by accelerated stress tests (ASTs).
A Survey on Network Security for Modern Internet of Things in DDOS Attack

: Network security is an important way of computing because many types of attacks are increasing day to day life. Protecting computer and network security are critical issues. Organizations would attempt to prevent network attacks by using network security tools such as firewalls or intrusion detection systems. While these still have their place, they are no match for modern day security attacks, for example modern Distributed Denial of Service (DDOS) attacks, as these attack on a much deeper level. These traditional perimeter-based solutions rely on a “castle and moat” method whereby anybody who manages to penetrate the network is automatically trusted, rather than authenticated before entering. These may introduce new threats due to improper configuration is sub-standard patching. Enterprises may also carry out vulnerability management and penetration testing. These help to meet compliance requirements and help to address gaps in information security, but they are very resource consuming. For a fully scalable, multi-layered defense solution, companies should invest in cloud security solutions.
Ben S Bernanke: Monetary policy under uncertainty (Central Bank Articles and Speeches)

Bill Poole's career in the Federal Reserve System spans two decades separated by a quarter of a century. From 1964 to 1974 Bill was an economist on the staff of the Board's Division of Research and Statistics. He then left to join the economics faculty at Brown University, where he stayed for nearly twenty-five years. Bill rejoined the Fed in 1998 as president of the Federal Reserve Bank of St. Louis, so he is now approaching the completion of his second decade in the System.
Codon optimization of Col H gene encoding Clostridium histolyticum collagenase to express in Escherichia coli

A given amino acid sequence can be encoded by a huge number of different nucleic acid sequences. These sequences, however, prove not to be equally useful. The choice of sequence can significantly impact the expression of an encoded protein. Regarding the importance of protein-coding sequence and promising industrial and medicinal applications of Clostridium histolyticum collagenase, this study examined the codon optimization of the colH gene so as to enhance collagenase expression in Escherichia coli . The results revealed that relative frequency of codon usage in colH gene was adapted to the most preferred triplets in E. coli in such a way that codon usage bias in E. coli was enhanced after codon optimization. Similarly, the higher level of collagenase expression was more likely the result of substituting rare codons with optimal codons. The findings from this study suggest that codon optimization provides a theoretical improvement in colH gene expression in E. coli . In spite of that, experimental research is needed to confirm the improvement.
Abundance of insect pollinators in citrus crop and their impact on fruit setting under tarai Agroclimatic condition

A total of 12 insect visitors of flowers were observed in citrus crop. Among the pollinators the Hymenoptera constituted major group of insects visiting he flower of citrus including Apis dorsata Fab. , Apis cerana indica Fab. , Trigona spp. , Campsomeriella megachalis F. , and C. collaris F. , Among the Dipterans, syrphid flies were the most frequent visitors including Syrphus corollae Fab. , Episyrphus balteatus De Geer, Spherophoria spp. L. , and Melanostoma spp. L. The bagging had a significant effect on fruit setting as the percent fruit setting was higher (8.4 -12%) in panicles that were left unbagged for open pollination as compared to completely bagged panicles (1.2 -8.0%).
THE IMPACT OF EXCHANGE RATE VOLATILITY ON INDUSTRIAL EXPORT PERFORMANCE IN SRI LANKA: VECM APPROACH

Exchange Rate Volatility has had a significant effect on industrial export performance in Sri Lanka as a third world country. The Purpose of this paper is to examine the Exchange Rate Volatility on Export Performance based on the Industrial Sector in Sri Lanka for the Period of 2000 to 2017, using monthly data collected from EDB, CBSL, SLC & IMF. During the analysis VECM approach was incorporated into the study. Exchange Rate Volatility was calculated using SMA Model with LKR/USD return series. The study focused on 5 Export Trading Partners, United Kingdom, United States, India, Germany and Belgium with the limitation of five Export products. The main focus is to model Exchange Rate Volatility on Economic Growth using the determinants of Real Exports, Real Effective Exchange Rates, Real Exchange Rate Volatility, Weighted Average of Relative Price and Real Foreign Income for the analysis of Long Run Relationship. The resulting models may be used to produce forecasts in the Future. Results reveal that Real Effective Exchange Rates and Exchange Rate Volatility have a negative impact on Real Exports for the selected Exporting Partners in the long run. Finally, there is a significant relationship between Exports and the Exchange Rate Volatility.
Data Analysis of Congressional Data Using IBM Watson

This paper presents a system that analyzes, compares and simpliﬁes the complexity of bills in the United States Senate in order enhance the average voter’s understanding of their senators and the bills they support. The system uses the IBM Watson Developer Cloud cognitive services to gain a natural language understanding of plain bill text. Using Watson, we extract keywords and issues from bills. The co-sine similarity between the generated attributes of diﬀerent bills is used to determine their similarity. By looking at similar bills that senators have sponsored we can determine how likely they are to support other bills. The information generated by our system is aggregated on a simple website to allow users to research their own senators by understanding the characteristics of the bills they support.
Title paper: CAPITAL STRUCTURE CHOICE IN VIETNAM: EVIDENCE FROM THE CONSTRUCTION INDUSTRY

There has been a huge amount of intense debate about capital structure which is considered as scholarly attention in the financial management arena over the years. As financial conditions of most companies in the construction industry are highly sensitive to the economic cycle, making a decision to finance their operation by whether external or internal source is absolutely vital. In this article, I have examined the effects of the characteristics of 74 Vietnam listed construction companies on their capital structure in 2015. Five factors, validated by many theories from the literature of finance, are identified and analyzed to find out reasonable results. The findings of the study show a negative relationship between profitability and the capital structure and a positive relationship between firm size, firm growth and the capital structure with significant relations. The other factors, including tangibility and liquidity receive no support. These findings help managers of construction companies recognize the importance and the influences of profitability, firm size and firm growth on making a right decision on the capital structure.
Autolysin (lytA) recombinant protein: a potential target for developing vaccines against pneumococcal infections

Purpose N-acetylmuramoyl-l-alanine amidase known as lytA, is an immunogenic protein that plays an important role in the pathogenesis of Streptococcus pneumoniae. It is highly conserved among S. pneumoniae strains and is absent among other Streptococcus species. In the present study, the level of antibodies against the lytA recombinant protein was evaluated in healthy individuals' sera. Materials and Methods DNA was extracted from S. pneumoniae ATCC 49619 to amplify lytA gene by polymerase chain reaction assay. The lytA amplicon and pET28a vector were separately double digested using Nde-1 and Xho1 restriction enzymes and then ligated together with ligase enzyme. The recombinant plasmid was expressed in Escherichia coli BL21 strain and the lytA recombinant protein purified using nickel-nitrilotriacetic acid affinity chromatography. Western blot was carried to detect lytA recombinant protein. Sixty healthy individual's sera (at three age groups: group 1, <2; group 2, 2–40; and group 3, 60–90 years old) were collected and the titers of anti-lytA antibodies were determined. Results The lytA gene was highly expressed in E. coli BL21 host. The recombinant lytA protein was purified and confirmed by western blotting. Tukey test analysis showed that there were no significant differences among the age groups considering the anti-lytA titer of 10. However, at the anti-lytA titer of 60, significant differences were observed between group 1 vs. group 2 (p<0.001); group 1 vs. group 3 (p=0.003), and group 2 vs. group 3 (p=0.024). Conclusion The lytA protein seems to be a highly immunogenic antigen and a potential target for developing vaccines against pneumococcal infections.
On Evaluation of AutoML Systems

Maintaining continued progress in AutoML research requires that we enable and conduct thorough evaluations of AutoML systems. We outline several fundamental AutoML evaluation practices and present a uniﬁed, open-source machine learning framework, upon which AutoML systems can be built, to enable such evaluations. This framework formalizes ML programs as end-to-end pipelines with all the necessary components to support ML algorithms from a wide range of diverse libraries and reference tooling for reproducible pipeline execution. We demonstrate the usability of this framework by presenting brief evaluation results of eight AutoML systems that use it. Additionally, we have designed and implemented a service, a metalearning database, that stores information about executed ML programs generated by systems using this framework. Our approach enables the research community to test hypotheses about the internals of AutoML systems, e.g., how pipeline search algorithms used by diﬀerent AutoML systems compare.
Mathematical description of operant behavior: an introduction

Behavior analysts are interested in describing functional relations between classes of independent variables and classes of dependent variables. To be most useful such descriptions should be precise, succinct, and applicable to a wide range of particular cases. In psychology, including behavior analysis, most scientific descriptions are couched in a modified version of everyday language (e.g., English). Familiar-sounding terms are redefined and new terms are introduced to form a technical vocabulary. Such languages may be satisfactory for describing general trends. But they are clumsy for describing precise relationships.
Computational Resources for Lattice QCD: 2019–2024

Theoretical Physics Department, Fermi National Accelerator Laboratory, Batavia, Illinois 60510 Theory Center, Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606 Department of Physics, Boston University, Boston, Massachusetts 02215 Department of Physics, Columbia University, New York, New York 10027 Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84112 Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 Department of Physics, University of Illinois, Urbana, Illinois 61801 Department of Physics, University of Colorado, Boulder, Colorado 80309 Physics Department, Brookhaven National Laboratory, Upton, New York 11973 Department of Physics, College of William and Mary, Williamsburg, Virginia 23187
Governing development of regions-case of Slovakia JEL : R 58 , R 59

Dynamism of development and competiveness of regions, as spatially and administratively defined units, depend not only on their natural, economic, social, and territorial potential but also on quality of regional development governance. At the time of creation of the regional level of territorial management in Slovakia there was expected that by introducing this new governance level the regional governments would become strong players in the field of regional development policy and provide supra-local and sub-national public services more effectively and with better quality. The paper, in its first part, concentrates on critical assessment of the current position and performance of entrusted tasks of the regional self-governments after 12 years of their existence, particularly in terms of their real opportunities to influence integrated development of territories pursuing principles of "good governance". Emphasis is put on analysis of key determinants conditioning legitimacy and power of regional self-governments in the area of ensuring and coordinating regional development. Findings suggest that territorial and administrative definition of the Slovak regions for fulfilling their core mission is not optimal. Furthermore there are gaps in their competencies, financial strength, fiscal autonomy and quality of development processes. We can state that despite regional governments are responsible, pursuant to law, for the comprehensive integrative development of the region, their direct impact on economic, social and environmental development of their territories is relatively small. The current status is confronted with the focus of the European policy for the period 2014-2020 and the need to react also on this level on global challenges such as climate change, ageing, lack of renewable resources, opening disparity scissors between regions etc. The paper, in its second part, in order to achieve higher quality of governing regional development within existing legal, economic and institutional framework in Slovakia, presents the innovative model of good governance in conjunction with planning and implementation of development processes. Through the analysis of individual components of the model the set of recommendations has been elaborated with the aim of optimizing position of the regional self-government as the key actor in development of its territory having not only responsibility but also adequate conditions and tools. The paper is based on results of the three years research within the project Governance financed by the Norwegian financial mechanism.
Evaluation of Investment Strategies for Cryptocurrencies

How to invest money most profitably is not only a field of research, but also a question that most people are confronted with at some point. The easiest approach is to invest the money and leave it there for an arbitrary time period. This is a common approach, not only for a savings account, but also for assets like crypto currency or stocks. Contrary to investing there is also day trading, where the asset is bought and sold within daily or sub-daily time frames. The aim of this approach is to generate a higher profit than simply investing would yield. Technical Analysis is a field which provides a lot of day trading strategies that are easy to interpret and easy to implement. The question we ask in this thesis is, if we can use one of the most popular day trading strategies to get a higher return on the used capital than if we would invest traditionally. This strategy is called Simple Moving Average Crossover (SMAC). To answer this question we will study the related literature on this topic, construct an asset-pricing model under which the SMAC strategy would be optimal and then perform a hypothesis test on three different asset classes. Literature and the constructed model do not provide any reasoning why the strategy would incur a higher return than a traditional investment. This causes us to hypothesise, that the strategy does not yield a higher return. By performing a one-tailed binomial test for every possible parameter setting of the SMAC strategy, we find that this hypothesis is rejected for at most half of all possible settings. Thus, if we choose one setting randomly, we have a chance of less than 30% that the SMAC strategy is significantly better than an investment. But there are also settings which have been recommended