Miracle-dz/UniFAR-FTUs huggingface dataset:
PPA_A_210404 133..151

Kamban Hirasen * Denise Evans * Nelly Jinga 1 Rita Grabe 2 Julia Turner Sello Mashamaite Lawrence C Long Matthew P Fox 1Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; 2Right to Care, Johannesburg, South Africa; 3Department of Global Health, Boston University School of Public Health, Boston, MA, USA; 4Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
ANALYZING CONTENTS OF MARKET SENTIMENT BASED ON INVESTERS’ EMOTION

The study investigates the stock market using emotion index calculated from SMD based on investors’ emotion. In the VAR anlaysis, we find that the correlation between the KOSPI200 return and emotion score sum is highest in 2or 3day lag. This study concludes that explanatory power of the SMD emotion index is limited in explaining the Korean stock market yet.
On Recovering Erased RSA Private Key Bits

While being believed that decrypting any RSA ciphertext is as hard as factorizing the RSA modulus, it was also shown that, if additional information is available, breaking the RSA cryptosystem may be much easier than factoring. For example, Coppersmith showed that, given the 1/2 fraction of the least or the most significant bits of one of two RSA primes, one can factorize the RSA modulus very efficiently, using the lattice-based technique. More recently, introducing the so called cold boot attack, Halderman et al. showed that one can recover cryptographic keys from a decayed DRAM image. And, following up this result, Heninger and Shacham presented a polynomial-time attack which, given 0.27-fraction of the RSA private key of the form (�, �, �, � � , � � ) , can recover the whole key, provided that the given bits are uniformly distributed. And, based on the work of Heninger and Shacham, this paper presents a different approach for recovering RSA private key bits from decayed key information, under the assumption that some random portion of the private key bits is known. More precisely, we present the algorithm of recovering RSA private key bits from erased key material and elaborate the formula of describing the number of partially-recovered RSA private key candidates in terms of the given erasure rate. Then, the result is justified by some extensive experiments.
What's in a Name? Exploring CA Certificate Control

TLS clients rely on a supporting PKI in which certiﬁcate authorities (CAs)—trusted organizations—validate and cryptographically attest to the identities of web servers. A client’s conﬁdence that it is connecting to the right server depends entirely on the set of CAs that it trusts. However, as we demonstrate in this work, the identity speciﬁed in CA certiﬁcates is frequently inaccurate due to lax naming requirements, ownership changes, and long-lived certiﬁcates. This not only mud-dles client selection of trusted CAs, but also prevents PKI operators and researchers from correctly attributing CA certiﬁcate issues to CA organizations. To help Web PKI participants understand the organizations that control each CA certiﬁcate, we develop Fides, a system that models and clusters CA operational behavior in order to detect CA certiﬁcates under shared operational control. We label the clusters that Fides uncovers, and build a new database of CA ownership that corrects the CA operator for 241 CA certiﬁcates, and expands coverage to 651 new CA certiﬁcates, leading to a more complete picture of CA certiﬁcate control.
COMPARATIVE ANALYSIS AMONG LC AND LCL FILTERS IN A SOLAR BASED MICROGRID

Microgrid is a small-scale power supply network that can effectively integrate various sources of distributed generation such as renewable energy and other sources. Microgrid operates in grid connected and islanded mode. In this paper, microgrid configuration considered has a solar PV system along with normal AC source and utility grid. The generated power from renewable energy source like solar is always varying as it depends on the environmental factors such as temperature and sunlight (irradiance). Here, boost converter serves the purpose of stepping-up the voltage level and maintaining constant output D.C voltage. Solar PV is intermittent in nature so there is a need to interface DC-DC converter along with MPPT algorithm to extract maximum power point. The output of boost converter is given as input to the inverter. Here, three phase VSI model connected to the output of DC-DC converter and gate pulses to the VSI are provided from the output of PLL such that the microgrid should always be in synchronism with the utility grid. When microgrid operates without using filter at inverter output terminals, it contains harmonics and THD in isolated system is very high. So, filters are compulsory to reduce the harmonics and to required sine wave. This paper mainly presents a methodology of passive filters (LC, LCL) that are designed to mitigate the harmonics in the VSI output. The pulses for inverter in grid connected mode are generated by using parameters such as voltage, current and frequency as reference. Total harmonic distortion is one of the power quality issues which is considered and measured at various locations. Results for improvement in power quality are verified by using MATLAB/Simulink.
Junior enterprise and entrepreneurial behavior in Brazil

Purpose The purpose of this paper is to analyze what is the influence of the junior enterprise environment on the entrepreneurial profile and intention of university students and what is the difference in the entrepreneurial behavior between students who participated and students who did not participate in junior enterprises. Design/methodology/approach A quantitative approach based on multivariate data analysis using confirmatory factor analysis and structural equation modeling was applied to a sample of 549 respondents. Findings Participation in junior enterprises influences the development of the students’ entrepreneurial profile more than their entrepreneurial intention. This study presents which behavioral characteristics are mostly developed with participation in a junior enterprise. Research limitations/implications The questionnaire with perception conditions and self-assessment indicators; data collection by a single cross-sectional research design; the scope of the research, which did not use a probabilistic sampling. Practical implications Practical implications are to assist higher education institutions in having a more accurate understanding of the role of junior enterprises in stimulating university entrepreneurship. To implement an effective entrepreneurial education, stimulating junior companies can be a fundamental action for the HEIs, and this is valid for courses in all areas. Entrepreneurial education in a practical context, as in the case of a junior company, can increase entrepreneurial intention. Originality/value This research fills a research gap on the uncertainty of the effectiveness of entrepreneurial education in developing the entrepreneurial behavior and entrepreneurial intention of students, at least when considering the junior company as part of entrepreneurial education in the university context, presenting a robust quantitative methodology and a large sample in a developing country.
A Study on Transmission of Power and Its Control

The power system is a collection of several tools or devices that are used to supply power from one position to another. There is a certain amount of loss during transmission when transferring power from one location to another place. Many methods of control, some of which are artificial control systems, intelligence control systems, have operated the power system. Service control of the power system operating in parallel operation or two is a case, single area case, often steam engine control, thermal plant by using these controllers. Current flow is very helpful work of the power system in a proper manner, so the Yunnan power grid dispatching was addressed in this paper.
LEAK DETECTION ALGORITH FOR PIPELINE NETWORKS

Pipe networks constitute the means of transporting fluids widely used nowadays. Considering the importance of monitoring pipeline systems, to increase the operational reliability and minimize the losses, this work focuses on the development of a technique to detect leakages (either gas or liquid) in pipelines, based on the acoustic method. This method is a non-destructive method which has presented reliable results. The methodology consisted of capturing the experimental data through a sensor (e.g., piezoelectric, accelerometer) installed at the surface of the pipeline without penetrating it and coupled to an analog to digital converter to store and analyze the data. Acoustic emission signals of
Nonreceptor Tyrosine Kinases in Prostate

BACKGROUND: Carcinoma of the prostate (CaP) is the most commonly diagnosed cancer in men in the United States. Signal transduction molecules such as tyrosine kinases play important roles in CaP. Src, a nonreceptor tyrosine kinase (NRTK) and the first proto-oncogene discovered is shown to participate in processes such as cell proliferation andmigration in CaP. Underscoring NRTK’s and, specifically, Src’s importance in cancer is the recent approval by the US Food and Drug Administration of dasatinib, the first commercial Src inhibitor for clinical use in chronic myelogenous leukemia (CML). In this review we will focus on NRTKs and their roles in the biology of CaP. MATERIALS AND METHODS: Publicly available literature from PubMed regarding the topic of members of NRTKs in CaP was searched and reviewed. RESULTS: Src, FAK, JaK1/2, and ETK are involved in processes indispensable to the biology of CaP: cell growth, migration, invasion, angiogenesis, and apoptosis. CONCLUSIONS: Src emerges as a common signaling and regulatory molecule in multiple biological processes in CaP. Src’s relative importance in particular stages of CaP, however, required further definition. Continued investigation of NRTKs will increase our understanding of their biological function and potential role as new therapeutic targets. Neoplasia (2007) 9, 90–100
A Novel Appraoch for Brain Tumor Detection using SOM and Fuzzy Classifier

: Nowadays Diagnosis of diseases using medical image is became cherished tool in medical science. Brain tumor pathologies are the utmost conjoint loss in the existing situation of health care society. Henceforth, precise recognition of the type of the brain irregularity is extremely indispensable for treatment planning which can minimalize the incurable results. Medical imaging technology simplifies the doctors to see the interior portions of the body for easy diagnosis. It also assisted doctors to make aperture surgeries for reaching the internal parts without actually opening too much of the body. In this paper we have proposed a novel approach using SOM feature and fuzzy C-means classifier for brain tumor detection, which will improve the accuracy.
Semantic Web as the Next Generation Smart Web

: In the present times, information search on the web is quite significant in our daily lives. The vast information on the huge and decentralized web may be present in structured, semi-structured or unstructured form, due to which the present web 2.0 suffers with certain limitations. During web searches, a lot of irrelevant information also gets displayed to the user which makes the information search unpleasant. This demands the need of an efficient information search on the web. For this, a smart and intelligent web is needed which can understand what the user needs. Semantic web is a dream and an effort which may provide a solution towards this. It is the future web 3.0 , envisioned by Sir Tim Berners Lee, whose objective is to extend the current web 2.0 such that a well-defined meaning and structure is provided to the existing information on the web, leading to a better cooperation of humans with machines and web giving a web with semantics embedded. This paper includes how semantic web may act as the future smart web of the next generation including the various critical aspects briefly. In this paper, first, origin and growth of web has been presented along with various web versions and contributions of Berners-Lee, the father of web; second, the vision, goal, capabilities, life cycle of semantic web data and processes, popular fallacies, significant milestones and applications etc. are presented; third, the foundation architecture for semantic web with its basic technologies and few significant tools have been explored, discussed, compared in tabular form and revisited, followed by the future scope in this direction.
Fiction, Truth, and Lies 36

You will guess with some confidence that it contains no factual information about certain inhabitants of Sussex. The conventions of fiction prescribe that when it says “Once upon a time there was . ”, there probably wasn’t. It is a shocking and confusing state of affairs, that yet we’ve learned to master at a very young age. Those conventions are at work the moment you know the book is a novel, which I simply assumed. Since novels do not always announce themselves a such (Sense and Sensibility does), it is an interesting question how we can tell the difference. If you open a book and the first sentence is: “In the beginning God created the heavens and the earth”, it may be less obvious how it is to be classified. Wars have been fought over it. Jane Austen’s matter-of-fact opening sentence seems to take for granted, in a casual manner, that there was a certain Dashwood family, once upon a time: it is implied in that tell-tale definite article, “the family of Dashwood”. Taken literally, the sentence has all the appearances of a factual claim; and yet none is made. By force of convention, fiction does not pretend to be true, even if it does (“This is a true story. The events depicted took place in .”). Fiction implies non-truth that is recognized as such. ‘Non-truth’ not in the sense of lying or deceit; but in the sense that no claim is made as to whether what is stated is true. As the renaissance poet Sir Philip Sidney put it in his most famous quote: “Now for the Poet, he nothing affirmeth, and therefore never lieth [. ]” (Sidney 1912: 29). It is sometimes paired with an apparently similar observation by Ludwig Wittgenstein, that “a poem, even though it is composed in the language of information, is not used in the language-game of giving information” (Wittgenstein 2007: 28e). Monroe Beardsley has cited Sidney in his 1958 Aesthetics as an early representative of what he calls the Nonassertion Theory (Beardsley 1981: 447). Most noteworthy explanations of fiction are elaborations of this insight, itself not really a theory, merely a negative condition: for what does the poet do, and does what we call ‘fiction’ depend entirely upon her doing?
Three-Way Junction-Induced Isothermal Amplification with High Signal-to-Background Ratio for Detection of Pathogenic Bacteria

The consumption of water and food contaminated by pathogens is a major cause of numerous diseases and deaths globally. To control pathogen contamination and reduce the risk of illness, a system is required that can quickly detect and monitor target pathogens. We developed a simple and reproducible strategy, termed three-way junction (3WJ)-induced transcription amplification, to detect target nucleic acids by rationally combining 3WJ-induced isothermal amplification with a light-up RNA aptamer. In principle, the presence of the target nucleic acid generates a large number of light-up RNA aptamers (Spinach aptamers) through strand displacement and transcription amplification for 2 h at 37 °C. The resulting Spinach RNA aptamers specifically bind to fluorogens such as 3,5-difluoro-4-hydroxybenzylidene imidazolinone and emit a highly enhanced fluorescence signal, which is clearly distinguished from the signal emitted in the absence of the target nucleic acid. With the proposed strategy, concentrations of target nucleic acids selected from the genome of Salmonella enterica serovar Typhi (S. Typhi) were quantitatively determined with high selectivity. In addition, the practical applicability of the method was demonstrated by performing spike-and-recovery experiments with S. Typhi in human serum.
Long Intergenic Non-Coding RNAs in HNSCC: From “Junk DNA” to Important Prognostic Factor

Simple Summary Head and neck squamous cell carcinoma (HNSCC) has one of the highest incidence and mortality rates among all cancers. Diagnostic process and treatment results are far from satisfactory. These are the main reasons behind studying the microenvironment of the tumor and finding the connection between the aberrant expression levels of non-coding RNAs and patients’ outcomes. In this paper, we tried to present the function and the promising diagnostic potential of long intergenic non-coding RNAs (lincRNAs). We proved that a multitude of them play a pivotal role in the different processes involved in the progression of the disease—e.g., proliferation, migration, and the epithelial-to-mesenchymal transition. Even though there is a lot of work ahead of us, lincRNAs could become unique and valuable biomarkers or future targets for personalized medicine. Abstract Head and neck squamous cell carcinoma is one of the most common and fatal cancers worldwide. Even a multimodal approach consisting of standard chemo- and radiotherapy along with surgical resection is only effective in approximately 50% of the cases. The rest of the patients develop a relapse of the disease and acquire resistance to treatment. Especially this group of individuals needs novel, personalized, targeted therapy. The first step to discovering such solutions is to investigate the tumor microenvironment, thus understanding the role and mechanism of the function of coding and non-coding sequences of the human genome. In recent years, RNA molecules gained great interest when the complex character of their impact on our biology allowed them to come out of the shadows of the “junk DNA” label. Furthermore, long non-coding RNAs (lncRNA), specifically the intergenic subgroup (lincRNA), are one of the most aberrantly expressed in several malignancies, which makes them particularly promising future diagnostic biomarkers and therapeutic targets. This review contains characteristics of known and validated lincRNAs in HNSCC, such as XIST, MALAT, HOTAIR, HOTTIP, lincRNA-p21, LINC02487, LINC02195, LINC00668, LINC00519, LINC00511, LINC00460, LINC00312, and LINC00052, with a description of their prognostic abilities. Even though much work remains to be done, lincRNAs are important factors in cancer biology that will become valuable biomarkers of tumor stage, outcome prognosis, and contribution to personalized medicine.
Implementation of Parallel Components of High Dynamic Range Images Algorithm Using FPGA

High Dynamic Range (HDR) images capturing, and reproduction have been an essential area to investigate by researchers, especially after the escalating acceleration in computers processing capabilities and the widespread of digital cameras. In this paper, parallel components of HDR algorithm are employed using field programmable gate array (FPGA) to produce HDR image. The implementation involves different pre-processing stages to separate images, color matrices, and then group the similar colors to perform a series of arithmetic operations. In consequence, the algorithm has inherited parallelism to exploit so that the FPGA provides parallel computational speed. The algorithm is implemented using Simulink and ModelSim-Altera MATLAB software to produce the response curve and HDR color components signals. After preforming the tone mapping, the results show that the HDR image provides much greater details and a truer color.
A Comprehensive Program of activities to develop sustainable core skills in novice scientists

This paper is aimed at studying scientific communication as an integral part of a scientists activity. The authors of this article analysed the development of informational technologies, which gave rise to a new paradigm of scientific communication Research 2.0. In the present study the analysis of research papers, describing models of scientific communication is done. The findings allow to define the structure and content of a comprehensive program of activities, connected to scientific communication in compliance with the Scientific Communication Life Cycle Model. In order to implement the program, aimed at developing core skills through scientific communication of scientists, a target audience, comprising postgraduate students and young researchers in Mathematics and Teaching Methods was engaged. A five-stage program of activities, which was developed, prompted scientific activity of young researchers and gave them an opportunity to learn about means of presenting research results, elements of management, mechanisms for applying the findings. A constructive description of each module of the program is done, actions and a strategy are described, communication between participants and tutors through the platform Higher School Mathematics Teacher is arranged in this research. In order to assess the efficiency of implementing the program, Researcher Development Framework (RDF) is used. The study also presents the results of the activity of young researchers, who were engaged in the program. Following the change in the phase of the development of researchers characteristic features and in compliance with RDF, a conclusion is made about a positive impact of the program on the development of career skills of young scientists, their interaction skills, awareness of professional behavior procedure.
A Thermography-based Online Control Method for Press Hardening

The aim of this work is to investigate a simple on-line control methodology applicable to press hardening. Short production runs were performed in a laboratory plant, using a pyrometer to measure sheet and die temperatures with varying processing conditions. Sheets thus treated were studied in terms of microstructure and mechanical properties. Different closing die time and refrigeration conditions were employed to force OK and Not OK conditions. The experimental data including the process variables as a well as the resultant temperatures have been analysed and modelled by means of statistical analysis and Machine Learning algorithms, to discover hidden correlations that can lead to actionable predicting models. The results show a direct link of the final temperature with the microstructure and its hardness. The outcome of this paper can be used for efficient process design and detection of anomalous temperature meanwhile an industrial hot stamping process take part. In addition, the analysis performed can help productivity and quality assurance while leading towards a smarter and more efficient manufacturing scenario.
A Study on Drinking Water Distribution Project in Banda Aceh

The goal of a construction project is to be able to carry out the construction project on time with the budget that matches the plan. However, due to several factors, cost overruns often emerge when executing a project. The purpose of this study is to analyze the dominant factor which leads to cost overruns on the drinking water distribution project in Banda Aceh. This study used primary data that were obtained by distributing questionnaires to contractors that are registered in LPJK company association of Aceh in 2020 and have ever been involved in the installation of drinking water pipes in Banda Aceh between 2015-2020. The population of this research was 62 contractors. By using Slovin equations, 54 contractors were selected as a sample of this research for a 5 percentile margin of error. The dominant factor that leads to cost overruns in drinking water distribution projects in Banda Aceh was caused by cost estimation factor with a mean value of 4,417. This indicates that based on the perception of the contractors, the dominant factor which lead to cost overruns in drinking water distribution projects in Banda Aceh was caused by cost estimation factor.