Miracle-dz/UniFAR-FTUs huggingface dataset:
The Prediction of Transonic Flows on an Advancing Rotor

The object of this investigation was to find and demonstrate a means of performing efficient finite-difference computations of rotor loading for a trimmed rotor in high-speed, advancing flight. The essence of the scheme that was developed is a loose-coupled iteration procedure between a finite difference and a comprehensive integral rotor code. The coupling involves a transfer of appropriate load and inflow data between the two codes such that consistency is maintained. Sample computations, including a limited comparison with model rotor data, are presented. The scheme converges rapidly. The finite-difference computation of one rotor revolution with this scheme may provide sufficient accuracy for many purposes.
Biochemical and Molecular Actions of Nutrients Research Communication In the Cystathionine (cid:1) -Synthase Knockout Mouse, Elevations in Total Plasma Homocysteine Increase Tissue S -Adenosylhomocysteine,butResponsesof S -Adenosylmethionine and DNA Methylation Are Tissue Speciﬁc 1,2,3

The cystathionine (cid:1) -synthase knockout mouse provides a unique opportunity to study biochemical consequences of a defective cystathionine (cid:1) -synthase enzyme. The present study was undertaken to assess the effect of elevated plasma total homocysteine caused by cystathionine (cid:1) -synthase deﬁciency on one-carbon metabolism in 10 homozygous mutant mice and 10 age- and sex-matched wild-type mice. Plasma total homocysteine levels, S -adenosylmethionine and S -adenosylhomocys-teine concentrations in liver, kidney and brain were measured by HPLC. Tissue DNA methylation status was measured by in vitro DNA methyl acceptance. Plasma total homocysteine concentration in food-deprived homozygous mutant mice (271.1 (cid:2) 61.5 (cid:3) mol/L) was markedly higher than in wild-type mice (7.4 (cid:2) 2.9 (cid:3) mol/L) ( P < 0.001). In liver only, S -adenosylmethionine concentrations were higher in the homozygous mutant mice (35.6 (cid:2) 5.9 nmol/g) than in wild type mice (19.1 (cid:2) 6.1 nmol/g) ( P < 0.001) and tended to be lower in kidney ( P (cid:4) 0.07). In contrast, S -adenosylhomo-cysteine concentrations were signiﬁcantly higher in homozygous mutant mice compared with wild-type mice in all tissues studied. Genomic DNA methylation status in homozygous mutant compared with wild-type mice was lower in liver ( P (cid:4) 0.037) and tended to be lower in kidney ( P (cid:4) 0.077) but did not differ in brain ( P (cid:4) 0.46). The results of this study are consistent with the predicted role of cystathionine (cid:1) -synthase in the regulation of plasma total homocysteine levels and tissue S -adenosylhomocysteine levels. However, the fact that the absence of the enzyme had differential effects on S -adenosylmethionine concentrations and DNA methylation status in different tissues suggests that regulation of biological methylation is a complex tissue-speciﬁc phenomenon. methylase was denatured by heating at 65°C for 20 min. The incubation mixture was applied onto the discs of Whatman DE-81 ion exchange ﬁlters (Fisher Scientiﬁc, Springﬁeld, NJ) using a vacuum ﬁltration apparatus; the discs were then washed with 0.35 mol/L Na 2 HPO 4 for 45 min. The discs were dried at 95°C for 30 min, and the resulting radioactivity of the DNA retained in the discs was measured by scintillation counting using a nonaqueous scintillation ﬂuid. All analyses were done in triplicate and the three values were averaged.
Global Methods for Image Motion Analysis

Processing motion information is an important problem in building automated vision systems. A moving sensor can obtain knowledge about the environmental layout, its own motion, and motion of objects in the scene by processing the temporal information in the imagery. We provide algorithms that can determine self-motion (or egomotion) by observing a sequence of images produced by a moving sensor in a rigid, stationary environment. The algorithms make use of optical flow information extracted from the sequence, and unlike most alternative methods, are global and robust to inaccuracies in the flow data. Two algorithms are presented. Both algorithms assume that the first stage of visual motion analysis, the computation of an image vector flow field that describes the instantaneous motion of individual points, has been solved. The first algorithm, the flow circulation algorithm, determines the rotational parameters using the curl of the flow field, which under many conditions is approximately a linear function. The coefficients of the linear function, which maybe determined by simple regression, are the desired rotational parameters. Circulation values, defined to be contour integrals of the vector field on the image plane, may be used in place of curl values, resulting in robustness. The second algorithm determines the translational parameters of the motion. The inner product of the image vector flow field and a certain circular vector field gives rise to a scalar function that is of a particular quadratic polynomial form when the center of the circular field is chosen appropriately. This correct choice of the center is related to the translational parameters and can be found by projecting the inner product function onto suitable subspaces determined by the quadratic polynomial form. Three different methods, of increasing complexity and accuracy, are developed. A fourth, fast but approximate method is also presented. The algorithms are described, analysed and experimental results are shown. The thesis contains mathematical observations that provide insight into the problem of motion analysis, and experimental observations that demonstrate the applicability of the algorithms.
Information Security for Scalable Data Sharing

- Information sharing is an important functionality in cloud storage. Here, In this paper, we show how to share data securely, efﬁciently, and ﬂexibly. A new public-key cryptosystems is demonstrated which produce cipher texts with constant-size such that efﬁcient delegation of decryption rights for any set of ciphertexts are possible. The novelty is that one can aggregate any set of secret keys and make them as a single key, but encompassing the power of all the keys being aggregated. That is, the secret key holder can generate a constant-size aggregate key for ﬂexible choices of ciphertext set in cloud storage, but the other encrypted ﬁles with cipher text outside the set can be secure. This compact aggregate key can be sent to others or be stored in a smart card with very limited secure storage. Privacy analysis of our schemes in the standard model and describe other application of our proposed schemes is provided. In particular, our system gives the ﬁrst public-key patient-controlled encryption for ﬂexible hierarchy, which was yet to be known.
Retrospective time perception of a long task: using music to distinguish between attention-based and memory-based models

There are two main models of time perception, attention-based models, and memorybased models. The aim of this study was to determine which model best explained retrospective time perception of a long and monotonous task. The monotonous task was a Sustained Attention to Response Task (SART) that lasted 1390s. The monotony of the task was altered by the addition of musical stimuli. Participants were randomly assigned to either a silent condition, or one of three music conditions that differed in song familiarity and performing instrument. Participants were 48 adults, primarily recruited from Edith Cowan University. The perceived duration of the task, the number of errors on the SART, and the number of songs remembered was measured. Difference in perceived duration between the conditions provided limited support for both attentionbased and memory-based models. However, from the non-significant results of the number of errors on the SART, and the number of songs remembered, neither model was able to explain how participants perceived the duration of the task. The presence of a ceiling effect on perceived duration may have limited the size of some of the effects. Overall, the results suggest that the relevance of attentional processes and memory may not be as significant as what is proposed by the current models in explaining retrospective time perception of long tasks, and this should be explored in future
Improving the Performance of Proof of Work-Based Bitcoin Mining Using CUDA

:- The most dominant block chain consensus algorithm is Proof of Work (POW). It is an algorithm, which scales up the bitcoin transaction well globally, by competition a cryptographic hash function. This process is named mining. POW-based bitcoin mining is a well-known problem of computational and memory-intensive algorithms. On the other hand, the high-threaded CUDA architecture has become with enhanced performance for a various range of computation and memory-intensive applications. Thus, feature of massive number of software threads with low overhead context switch provides high computational throughput and hides the memory access latencies. However, it is not effective enough for all applications because of two challenges that directly affect performance such as scheduling new threads and the overhead to startfresh kernels on the CUDA. Existing work tried to model performance of POW-based mining from various aspects. However, no model considers all of these factors came together at the same time. The main contribution of the articlecombination of the POW-based bitcoin-mining algorithm with a focus on the higher-level analysis of algorithm performance and lower-level details about runtime configuration (thread per block) and scheduling on CUDA. The results indicate that the model can be effectively use on various optimization techniques. It’s able to get a performance, which is almost 4 times when compared to baseline serial algorithm of POW-based mining implementation.
Uniﬁed Framework to Select an IoT Platform for Industrial Energy Management Systems

—The world population is increasing at a rapid speed and so are the requirements for everyday life like energy, technology, and industries. In the past few years, there has been a huge increase and development in the industrial sector and new technology like the Internet of Things (IoT) has played a major role in it. The industrial sector is consuming a large portion of the energy worldwide and is contributing a large amount of greenhouse gas emissions. Hence, they face signiﬁcant economic, social and environmental pressures to create energy-efﬁcient processes and systems of production and directly manage their energy consumption, looking at aspects beyond direct costs. One of the effective ways to reduce energy consumption, cost, and greenhouse gas emissions is to use an industrial energy management system (IEnMS). The IEnMS uses IoT for (big) data collection, processing, storing, and visualization. In this case, one key challenge the industries face is the selection of an IoT platform among the hundreds of IoT platforms in the market. In this paper, we adapt our previously proposed general framework to choose an IoT platform focusing here on the requirements of IEnMS. The proposed framework provides an objective methodology that can be used to select the most suitable IoT platform for different IEnMS based on their particular requirements.
Fingerprint Indexing using Low Order Delaunay Triangulation with Geometric Constrants

— Fingerprint Identification has been a great challenge due To its complex search of huge fingerprint databases. Fingerprint Indexing, a preprocessing phase before matching, aims to reduce the number of candidate hypotheses sent forfurther verification. Indexing large fingerprint databases eliminates the false positives and hastens the process of ver ification. This paper present a method of indexing large databases which makes use of minutiae triangles and orientation images of a fingerprint as input. Low order Delaunay triangulation has been used here which significantlyreduces the number of minutiae triangles. The different features of a minutiae triangle used here are the angles, handedness, type, circularity ratio and ratioof minimum and maximum sides to perimeter of triangle . This method tested on all the FVC 2004 databases which are markedly more difficult than previous versions of databases because of the induced perturbations. The algorithm has pruned the search space significantly over all the four databases.
A Review of Cash Holding and Corporate Governance Mechanisms in Transition Economies

In this paper, the main purpose is to present a review of the relationship between cash holding and corporate governance mechanims. To achieve it, the study reviews the related papers to discover the connections between some internal and external corporate governance mechanims which impact on the cash reserve. The paper finds out the ownership struture, board structure and regulations influence on the cash holding level in transition economies. Based on the review, the paper developes the hypotheseses, conceptual framework and methodology. The paper analyses the current studies to sugguest the furture research for developing a model.
TGF b Induces "BRCAness" and Sensitivity to PARP Inhibition in Breast Cancer by Regulating DNA-Repair Genes

, Abstract Transforming growth factor beta (TGF b ) proteins are multitasking cytokines, in which high levels at tumor sites generally correlate with poor prognosis in human patients with cancer. Previously, it was reported that TGF b downregulates the expression of ataxia telangiectasia – mutated (ATM) and mutS homolog 2 (MSH2) in breast cancer cells through an miRNA-mediated mechanism. In this study, expression of a panel of DNA-repair genes was examined, identifying breast cancer 1, early onset (BRCA1) as a target downregulated by TGF b through the miR181 family. Correlations between the expression levels of TGF b 1 and the miR181/BRCA1 axis were observed in primary breast tumor specimens. By downregulating BRCA1, ATM, and MSH2, TGF b orchestrates DNA damage response in certain breast cancer cells to induce a "BRCAness" phenotype, including impaired DNA-repair ef ﬁ ciency and synthetic lethality to the inhibition of poly (ADP-ribose) polymerase (PARP). Xenograft tumors with active TGF b signaling exhibited resistance to the DNA-damaging agent doxorubicin but increased sensitivityto the PARP inhibitor ABT-888. Combination of doxorubicin with ABT-888 signi ﬁ cantly improved the treatment ef ﬁ cacy in TGF b -active tumors. Thus, TGF b can induce "BRCAness" in certain breast cancers carrying wild-type BRCA genes and enhance the responsiveness to PARP inhibition, and the molecular mechanism behind this is characterized. enable better selection of patients with sporadic breast cancer for PARP interventions, which have exhibited bene ﬁ cial effects in patients carrying BRCA mutations. Mol Cancer Res; 12(11); 1597 – 609. (cid:2) 2014 AACR.
Growth and Photosynthesis of the Cyanobacterium Synechococcus leopoliensis in HCO3-Limited Chemostats'

SyecococcEs lkopoliensis was grown in HCO03-limited chemostats. Growth at 50% the maximum rate occurred when the inorganic carbon concentration was 10 to 15 micromolar (or 5.6 to 8. nanomolar C02). The 02 to CO2 ratios during growth were as high as 192,000 to 1. At growth rates below 80% the maximum rate, essentially all the supplied inorganic carbon was converted to organic carbon, and the cells were carbon limited. Carbon-limited cells used HCO3- rather than CO2 for growth. They also exhibited a very high photosynthetic affinity for inorgnic carbon in short-term experiments. Cells growing at greater than 80% maximum growth rate, in the presence of high dissolved inorganic carbon, were termed carbon sufficient. These cells had photosynthetic affinities that were about 1000-fold lower than HCO3-limited cells and also had a reduced capacity for HC03- transport. HCO3--limited cells are reminiscent of the air-grown cells of batch culture studies while the carbon sufficient cells are reminiscent of high-CO2 grown cells. However, the low affinity cells of the present study were growing at CO2 concentrations less than air saturation. This suggests that supranormal levels of CO2 not required to induce the physiological changes usually ascribed to high CO2 cells.
INVESTIGATION ON WHITE SPOT SYNDROME VIRUS (WSSV) IN PENAEUS MONODON BROOD, NAUPLII, POST LARVAE AND CULTURED SHRIMP IN COX’S BAZAR, BANGLADESH BY USING NESTED PCR TECHNIQUES

: Investigations were carried out between April 2014 to June 2016 for detecting white spot syndrome virus (WSV) in tiger shrimp, Penaeus monodon broods, nauplii, post larvae and cultured shrimp by using nested PCR techniques. The presence viral DNA was observed in shrimp culture farms in Cox’s Bazar. Of 558 grow out shrimp samples tested, 239 (42.83%) were found to be positive for WSSV by PCR assay. Of 91 post larvae collected in adjacent river and canal, 41 (45.05%) were infected with WSSV and 70 juvenile shrimps collected, 45 (64%) of the samples were positive for WSSV infection. Selected shrimp hatcheries in the region also showed continual occurrence of WSSV infection and 149 nauplii were tested, 39(26.17%) were positive for WSSV by PCR assay. In hatcheries, 248 nos. P. monodon broods collected, 125(50.40%) were found positive for WSSB. The average WSSV infection in brood shrimps were increased as 32%, 34% and 69% for the years 2014, 2015 and 2016, respectively. P. monodon broods collected from the deep sea zone, WSSV prevalence was 57% in summer (May), falling to 0% during winter month (November). Many of the brooders and juveniles did not exhibit any external symptoms of WSSV infection, however, following PCR amplification with WSSV detection primers clear products were revealed, indicating the presence of latent infection. Thus, effective prevention and control measures are urgently needed to control the spread of the WSSV disease in the shrimp industry. Diagnostic PCR can be applied to screen for carrier brood stock and shrimp larvae used for shrimp culture.
Therapeutic Efﬁcacy of “Nubiotics” against Burn Wound Infection by Pseudomonas aeruginosa

“Nubiotics” are a novel class of proprietary protonated nucleic acid-based drugs shown to have potent in vitro antibacterial activities against a number of gram-positive and gram-negative bacteria. These nubiotics are evaluated here for their in vivo therapeutic efﬁcacy for the treatment of burn wound infection caused by Pseudomonas aeruginosa . To achieve this, a burn wound infection model was established in mice by using a highly pathogenic burn wound clinical isolate of P. aeruginosa . Lethal doses of the bacteria were determined for two routes of infection (subcutaneous and topical), representing systemic and local forms of infection, respec- tively. Using this infection model, treatment with nubiotics by various routes of drug administration was evaluated and optimized. A total of 12 nubiotics and their analogues were tested and of these, Nu-2, -3, -4, and -5 were found to be extremely efﬁcacious in the postexposure treatment of burn wound infection (60 to 100% survival rates versus 0% for untreated control [ P < 0.05]). These nubiotics were effective when given either systemically by intravenous and/or subcutaneous administration or given locally to the affected site in the skin by topical application. Treatment by these two routes resulted in almost 100% survival rates and complete eradication of the bacteria from infection sites in the livers, spleens, and blood. These nubiotics were found to be as effective as intravenously administered ciproﬂoxacin, a potent and broad-spectrum ﬂuoroquinolone. These results suggest that nubiotics may be a promising and effective approach for the treatment of burn wound infection caused by P. aeruginosa
(2021). Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK. The Lancet, 397(10269), 99-111.

Background A safe (SARS-CoV-2), if the of the COVID-19 pandemic. We evaluated the safety and efficacy of the ChAdOx1 nCoV-19 vaccine in a pooled interim analysis of four trials. Methods This analysis includes data from four ongoing blinded, randomised, controlled trials done across the UK, Brazil, and South Africa. Participants aged 18 years and older were randomly assigned (1:1) to ChAdOx1 nCoV-19 vaccine or control (meningococcal group A, C, W, and Y conjugate vaccine or saline). Participants in the ChAdOx1 nCoV-19 group received two doses containing 5 × 10¹⁰ viral particles (standard dose; SD/SD cohort); a subset in the UK trial received a half dose as their first dose (low dose) and a standard dose as their second dose (LD/SD cohort). The primary efficacy analysis included symptomatic COVID-19 in seronegative participants with a nucleic acid amplification test-positive swab more than 14 days after a second dose of vaccine. Participants were analysed according to treatment received, with data cutoff on Nov 4, 2020. Vaccine efficacy was calculated as 1 − relative risk derived from a robust Poisson regression model adjusted for age. Studies are registered at ISRCTN89951424 and ClinicalTrials.gov, NCT04324606, NCT04400838, and NCT04444674. Findings participants were enrolled and 11 participants UK, 4088 Brazil) in the In participants who two 41·0–75·7; 27 [0·6%] of 4440 the ChAdOx1 nCoV-19 group vs 71 of 4455 the control group) and in participants who received a low dose followed by a standard dose, efficacy was 90·0% (67·4–97·0; three [0·2%]
The GPRC6A receptor is involved in amino acid-induced GLP-1 secretion: GLUTag clonal intestinal L cell line study*

Background: The molecular mechanisms underlying GLP-1 secretion induced by amino acids from intestinal L cells are not fully understood. Results: The L-amino acid-sensing GPRC6A receptor is expressed in the clonal L cell GLUTag. Activation of GPRC6A by L-ornithine evoked GLP-1 secretion. Conclusion: GLUTag cells respond to amino acids via the GPRC6A receptor. Significance: A new pathway for GLP-1 secretion induced by amino acids in GLUTag cells was identified.
Finite-time stability results for fractional damped dynamical systems with time delays

This paper is explored with the stability procedure for linear nonautonomous multiterm fractional damped systems involving time delay. Finite-time stability (FTS) criteria have been developed based on the extended form of Gronwall inequality. Also, the result is deduced to a linear autonomous case. Two examples of applications of stability analysis in numerical formulation are described showing the expertise of theoretical prediction.