Miracle-dz/UniFAR-FTUs huggingface dataset:
Sex differences in the efficacy of antihypertensive treatment in preventing cardiovascular outcomes and reducing blood pressure: protocol for a systematic review and meta-analysis

Introduction Hypertension is a leading cause of mortality worldwide and its prevalence is expected to rise over the next decade. Sex differences exist in the epidemiology and pathophysiology of hypertension. It is well established that antihypertensive treatment can significantly reduce the risk for stroke and other cardiovascular disease events. However, it remains unclear whether this effect is dependent on sex. In this protocol, we outlined a systematic review and meta-analysis to evaluate the effects of antihypertensive therapy in (1) reducing blood pressure and (2) preventing cardiovascular morbidity and mortality outcomes for each sex separately. Methods and analysis The following electronic databases will be searched: Medline, Embase, The Cochrane Library, PubMed, Cumulative Index of Nursing and Allied Health Literature Plus, Web of Science, grey literature (Google Scholar) and several trial registries. Search strategies will be designed to identify human adult (≥18) randomised (and non-randomised) controlled trials, prospective and retrospective cohort studies, and case–control studies concerning ‘sex-specific differences associated with the efficacy of antihypertensive treatment’. A preliminary search strategy was developed for Medline (1946—16 September 2019). Two investigators will independently review each article included in the final analysis. Primary outcomes investigated are cardiovascular morbidity and mortality and systolic and diastolic blood pressure. Pooled analyses will be conducted using the random-effects model. Publication bias will be assessed by visual inspection of funnel plots and by Begg’s and Egger’s statistical tests. Between-studies heterogeneity will be measured using the I2 test (p<0.10). Sources of heterogeneity will be explored by sensitivity, subgroup and metaregression analyses. Ethics and dissemination This is the first meta-analysis that will comprehensively compare the efficacy of antihypertensive treatment regimens between men and women. Findings will be shared through scientific conferences and societies, social media and consumer advocacy groups. Results will be used to inform the current guidelines for management of hypertension in men and women by demonstrating the importance of implementing sex-specific recommendations. Ethical considerations are not applicable for this protocol.
Synthesis of 4′-Substituted-2′-Deoxy-2′-α-Fluoro Nucleoside Analogs as Potential Antiviral Agents

Nucleoside analogs are widely used for the treatment of viral diseases (Hepatitis B/C, herpes and human immunodeficiency virus, HIV) and various malignancies. ALS-8176, a prodrug of the 4′-chloromethyl-2′-deoxy-2′-fluoro nucleoside ALS-8112, was evaluated in hospitalized infants for the treatment of respiratory syncytial virus (RSV), but was abandoned for unclear reasons. Based on the structure of ALS-8112, a series of novel 4′-modified-2′-deoxy-2′-fluoro nucleosides were synthesized. Newly prepared compounds were evaluated against RSV, but also against a panel of RNA viruses, including Dengue, West Nile, Chikungunya, and Zika viruses. Unfortunately, none of the compounds showed marked antiviral activity against these viruses.
Multicultural Values: An Analysis of the Indonesian Literacy Disregard

The background of this study is a pluralistic and multicultural Indonesian nation-state from culture, religion, ethnicity, ethnicity, social, and territorial heritage as a prehistoric / pre-literacy era that often arises due to conflict due to friction from a variety of diversity, so there needs to be a solution as a solution to the application of multicultural values to an educational institution. The purpose of this study is to describe: 1) the social system; 2) belief system; 3) science and technology; 4) artistry; 5) agriculture; and 6) shipping. This type of research is designed using a descriptive approach, while the form of research uses a content analysis model, then in practice, it refers to the content analysis procedure. The results of the study concluded that one of the major problems of this nation is the awareness of the identity of a nation-state. This is due to 2 (two) waves of social change, namely globalization and democracy. At the global level, in addition to the existence of world powers such as in politics and trade, there is also a power that wants people to have an awareness of their identities, so we need a unity of the nation that is awareness in the container and frame of the Unitary State of the Republic of Indonesia. Keywords: Multicultural Values;prehistoric Latar belakang kajian ini adalah negara-bangsa Indonesia yang plural dan multikultur dari budaya, agama, etnis, suku, sosial, dan kewilayahan sebagai warisan jaman prasejarah/praaksara yang sering muncul adanya konflik disebabkan oleh adanya gesekan dari berbagai keragaman, sehingga perlu adanya solusi sebagai jalan pemecahan dengan penerapan nilai-nilai multikultur pada sebuah institusi pendidikan. Tujuan kajian ini adalah mendeskripsikan: 1) sistem sosial kemasyarakatan; 2) sistem kepercayaan; 3) ilmu pengetahuan dan teknologi; 4) kesenian; 5) pertanian; dan 6) pelayaran. Jenis penelitian didesain dengan menggunakan pendekatan deskriptif, sedangkan bentuk penelitian digunakan model analisis isi ( content analysis ), maka dalam pelaksanaannya mengacu pada prosedur analisis isi. Hasil penelitian diperoleh simpulan bahwa salah satu masalah besar bangsa ini adalah kesadaran identitas suatu negara-bangsa. Hal ini disebabkan adanya 2 (dua) gelombang perubahan sosial, yaitu globalisasi dan demokrasi. Pada tingkat global selain adanya kekuatan-kekuatan dunia seperti dalam bidang politik dan perdagangan, muncul pula kekuatan yang menginginkan orang memiliki kesadaran akan identitasnya, maka diperlukan sebuah persatuan bangsa yaitu kesadaran dalam wadah dan bingkai NKRI. Kata kunci: Nilai-Nilai Multikulrutal; Prasejarah
The Role of Genetic Mutations in Gene Mapt in Richardson Syndrome

Richardson syndrome is an uncommon degenerative neurological disorder that causes progressive impairment of balance and walking; impaired eye movement, especially in the downward direction; abnormal muscle tone (rigidity); speech difficulties (Dysarthria); and problems related to swallowing and eating (Dysphagia). Affected individuals frequently experience personality changes and cognitive impairment. Symptoms typically begin after age 60 but can begin earlier. The exact cause of Progressive Supranuclear Palsy (PSP) is unknown. PSP is often misdiagnosed as Parkinson disease, Alzheimer disease, corticobasal degeneration and other neurodegenerative disorders. In most cases the genetic cause of Richardson syndrome is unknown, but in some cases it is caused by a MAPT gene mutation located on the long arm of chromosome 17 at 17q21.31. This gene provides instructions for the synthesis of a protein called tau.
A Review on the Evaluation of Performance towards Data Mining Algorithms completed

: Data mining has turned out to be a standout amongst the most fundamental devices in various fields. The increments in data sizes and algorithmic complexities require the computational energy of chip to increment much further. In this paper, we introduce nitty gritty qualities from the hardware and software points of view for an arrangement of delegate data mining programs. We first outline MineBench, a benchmarking suite containing agent data mining applications from various classes including two classification, two association rule mining, and four clustering applications. We assess the MineBench applications on a 8-way Shared Memory Parallel (SMP) machine and dissect their critical performance attributes. Amid the evaluation, the info datasets and the quantity of processors utilized are shifted to gauge the scalability of the applications in our benchmark suite. We introduce the outcomes in light of attributes, for example, scalability, I/O intricacy, portion of time spent in the OS mode, and communication/synchronization overheads. This data can help creators of future frameworks and in addition software engineers of new data mining calculations to accomplish better framework and algorithmic performance.
Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh

Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh Muhammad Waqas Corresponding author: Department of Management Science, Capital University of Science and Technology, Islamabad, Pakistan Nudrat Fatima Department of Management Science, Capital University of Science and Technology, Islamabad, Pakistan Aryan Khan Department of Management Science, Capital University of Science and Technology, Islamabad, Pakistan Muhammad Arif Dr., Assistant Professor, Department of Management Science, Govt. College of Management Sciences, Swabi, Pakistan Abstract
GHG Management at the farm level

Greenhouse Gas (GHG) emissions from agriculture are a significant contributor climate change. With a growing consumer concern in this issue, food manufacturing companies have become increasingly interested in measuring and reducing the Greenhouse Gas (GHG) impacts of their agricultural supply chains as part of their impact reduction commitments. To do GHG data from the farmers upstream in the supply chain need to be measured in order to be better managed. The Cool Farm Tool is a farmer-focused, on-farm quantitative GHG management tool that aims to do this. The tool is designed to; 1) help farmers to generate and understand more robust primary GHG data; 2) allows exploration of farm management improvement scenarios and; 3) provides users with primary data capture and evidence of farm management and improvement. This paper will describe the tool and early insights and lessons from its use.
Pa ON SILICA AND THE EFFECT OF HUMIC ACID

Sorption of protactinium on silica colloids was studied in the pH range of 1 to 12 in NaClO4 medium using radiotracer technique. Silica was characterized using X-ray diffraction, light scattering and surface area measurements. The point of zero charge for silica colloids was about pH 2. The sorption of protactinium was about 98% in the pH range of 3 to 9 and was lower (70-80 %) below pH 3 and above pH 9. The quantitative sorption in the pH range 3 to 9 could be explained by surface complexation model. The reduction in sorption was attributed to electrostatic repulsion as the fraction of protactinium exists as cationic species at pH ≤ 2 and anionic species above pH 9. There was reduction in the sorption of protactinium in the presence of humic acid below pH 2 and above pH10. Sorption of protactinium on silica in presence of 0.05M HF was about 99% between pH 3 to 8 and below 30% in the low and high pH region. Isotherm study revealed an exponential decrease in protactinium activity in solution with increase in silica.
Neuroprotective Effect of Salvianolic Acid A against Diabetic Peripheral Neuropathy through Modulation of Nrf2

Oxidative stress has been recognized as the contributor to diabetic peripheral neuropathy (DPN). Antioxidant strategies have been most widely explored; nevertheless, whether antioxidants alone prevent DPN still remains inconclusive. In the present study, we established an in vitro DPN cell model for drug screening using Schwann RSC96 cells under high glucose (HG) stimulation, and we found that salvianolic acid A (SalA) mitigated HG-induced injury evidenced by cell viability and myelination. Mechanistically, SalA exhibited strong antioxidative effects by inhibiting 1,1-diphenyl-2-picrylhydrazyl (DPPH) and reducing reactive oxygen species (ROS), malondialdehyde (MDA), and oxidized glutathione (GSSG) content, as well as upregulating antioxidative enzyme mRNA expression. In addition, SalA significantly extenuated neuroinflammation with downregulated inflammatory factor mRNA expression. Furthermore, SalA improved the mitochondrial function of HG-injured Schwann cells by scavenging mitochondrial ROS, decreasing mitochondrial membrane potential (MMP), and enhancing ATP production, as well as upregulating oxidative phosphorylation gene expression. More importantly, we identified nuclear factor-E2-related factor 2 (Nrf2) as the upstream regulator which mediated protective effects of SalA on DPN. SalA directly bound to the Kelch domain of Kelch-like ECH-associated protein 1 (Keap1) and thus disrupted the interaction of Nrf2 and Keap1 predicted by LibDock of Discovery Studio. Additionally, SalA significantly inhibited Nrf2 promoter activity and downregulated Nrf2 mRNA expression but without affecting Nrf2 protein expression. Interestingly, SalA upregulated the nuclear Nrf2 expression and promoted Nrf2 nuclear translocation by high content screening assay, which was confirmed to be involved in its antiglucotoxicity effect by the knockdown of Nrf2 in RSC96 cells. In KK-Ay mice, we demonstrated that SalA could effectively improve the abnormal glucose and lipid metabolism and significantly protect against DPN by increasing the mechanical withdrawal threshold and sciatic nerve conduction velocity and restoring the ultrastructural impairment of the injured sciatic nerve induced by diabetes. Hence, SalA protected against DPN by antioxidative stress, attenuating neuroinflammation, and improving mitochondrial function via Nrf2. SalA may be prospective therapeutics for treating DPN.
Institutional Sources of Resilience in Global ICT Leaders - Harness the Vigor of Emerging Power

In light of the significant impacts on global economy both nations and firms witnessed a dramatic advancement of information and communication technology (ICT). There was particularly bi-polarization between ICT advanced and growing economies compelling a vicious cycle between ICT advancement and its productivity decline in these economies. The institutional sources of resilience were analyzed. On the basis of an empirical analysis comparing technopreneurial performance in world top 500 ICT firms by market value, sales and profit over the last decade, resilient firms maintaining world top 100 position by all three values over the whole period were identified. Institutional sources enabling resilient firms maintain leading position can largely be attributed to co-evolutionary acclimatization ability, which harnesses the vigor of emerging power of counterparts both in home countries and in advanced countries as well as growing economies in a co-evolutional way. Such ability maximizes synergy between efficiency and resilience in their technopreneurial management. Contrasting business model in global ICT firms with and without resilience structure suggests the sources of emerging trap due to ICT advancement and endorsed the significance of co-evolutionary acclimatization. This suggests the significance of institutional coevolution between ICT advanced and growing economies that enables both economies to harness the vigor of partners for global sustainability.
Lane detection using lane boundary marker network with road geometry constraints

Lane detection is of critical importance to both the self-driving cars as well as advanced driver assistance systems. While current methods use a range of features from low-level to deep features extracted from convolutional neural networks, they all suffer from the problem of occlusion and struggle to detect lanes with low or no evidence on the road. In this paper, we use a lane boundary marker network to detect keypoints along the lane boundaries. An inverse perspective mapping is estimated using road geometry which is then applied to the detected markers and lines/curves are fitted jointly on the rectified points. Finally, missing lane boundaries are predicted using lane geometry constraints i.e., equidistant and parallelism. Reciprocal weighted averaging ensures lane boundaries with strong evidence dominate their predicted alternatives. The results show a significant improvement of +7.8%, +6.8% and +1.2% of F1 scores over the state-of-the-art on CU-Lane, Caltech and TuSimple datasets, respectively. This proves our algorithm’s robustness against both occluded and missing lanes cases. Furthermore, we also show that our algorithm can be combined with other lane detectors to improve their lane retrieval potential.
PRIMALITY PROVING ALGORITHMS

Prime numbers are central to modern discrete mathematics. It is thus natural to ask the question, given a natural number, of whether it is prime or not. In fact, since there is no formula for the n prime, we use the answer to this question to generate large primes: to find a prime, repeatedly generate a random number until one is prime. By an appeal to the Prime Number Theorem, on average it will take about log n tries to find a prime. Thus if we had a polynomial-time algorithm for testing a number for primality, we would have a polynomial-time algorithm for generating a prime. The importance of generating large primes has grown recently, with the rise of public-key cryptography systems (in particular, RSA and Diffie-Hellman methods). The security of these methods depends directly on the availability of a sizable stock of large primes. In this context, “large” primes typically have on the order of a thousand bits; using trial division to check primality (an exponential-time approach) is very much out of the question. There are very fast probabilistic methods available for checking primality, which could perhaps more accurately be called compositeness tests: given a number, they return either “definitely composite” or “probably prime. ” If a number passes many iterations of such a test, it is extremely likely to be prime (with some tests, it can be proven that the probability of incorrectly identifying a prime vanishes exponentially with the number of iterations). Cryptographic applications typically use such methods, and in particular a test due to Miller and Rabin [23] for generating primes. In this paper, we focus instead on primality proving algorithms, techniques which generate a proof of primality. Further, we focus on general purpose algorithms, excluding any approaches which require a special form for the input number. (For one example of a special case algorithm, the distributed internet project searching for Mersenne primes [25] uses Pollard’s p− 1 method.) In particular, we survey three major primality proving algorithms, which rely on disparate concepts in mathematics: Jacobi sums, elliptic curves, and exponentiation in a polynomial ring. Our goal is to present a summary of the techniques which explains the broad concepts while being suitable for implementation. While we will discuss asymptotic runtime and proof of correctness to some extent, we typically just cite such results from the original papers. To complement our description of the algorithms, we also wrote implementations (source code available upon request). We close the paper with a brief comparison of the runtimes of these implementations.
E ﬃ cient Covariance Encoding

We describe, optimize, and compare covariance encoding schemes. Several current systems encode three dimensional covariances in terms of their eigenvalues and Euler angles. We generalize this method to n dimensions. We precondition covariances to ensure that reconstructed matrices will be positive deﬁnite. We propose a new scalar measure of merit for covariance encodings, the Bhattacharyya distance. We compare the schemes in terms of the encoding error and the encoding length in bits. We recommend using enough bits to make the encoding error small compared to the error described by the covariance itself. The most e ﬃ cient scheme uses logarithmic encoding of the variances and linear encoding of the Cholesky factor of the correlation matrix.
Microsphere-assisted phase-shifting profilometry

In the present work, we have investigated the combination of a super-resolution microsphere-assisted 2D imaging technique with low-coherence phase-shifting interference microscopy. The imaging performance of this technique is studied by numerical simulation in terms of the magnification and the lateral resolution as a function of the geometrical and optical parameters. The results of simulations are compared with the experimental measurements of reference gratings using a Linnik interference configuration. Additional measurements are also shown on nanostructures. An improvement by a factor of 4.7 in the lateral resolution is demonstrated in air, thus giving a more isotropic nanometric resolution for full-field surface profilometry in the far field. © 2017 Optical Society of America
SECURE MULTI-PARTY COMPUTATION - A SURVEY

-This is particularlytrue if the data from several sources are combined for some common task may be beneficial and speed up the task. For example, by combining datafrom several of its institutions, a state can discover trends or pin-point problematicissues.However, this is often avoided due to privacy concerns, as the combineddata set becomes an attractive target for both insideand outside attackers. In this internet era, privacy and security of data arehighly demanded and it is a sensitive issue. Secure Multi-Party Computation (SMC) is a technology which permits data to be processed with privacyso that the computation servers could not seeany actual data values. Firstpractical implementations of this emerging technology is started in the 2000s.This technology is now matureenough to be used for privacy-preserving data analysis on real data. SMCease the problem of data sharing between the parties as computation is securely done over the secure inputs (encrypted inputs) provided by different parties. It generates the corresponding output in a secure form which is correspondingly delivered to each party. In this paper, a detailed study of SMC is discussed which benefits the readers to understand it ata single point.
European Journal of Physical Education and Sport Science-2501-1235

In this study, the effect of perceived service quality of the athletes participating in sports programmes of a public institution on their satisfaction levels was investigated. Two measurement instruments were used as data collection tools in this study. The QSport14 scale, consisting of 14 items and 3 sub-dimensions (staff, installations, and programme) developed by Yildiz and Kara (2012), was used to measure service quality perceptions of the athletes. In order to measure satisfaction perceptions of the athletes, a 3-item and one-dimensional satisfaction scale developed by Cronin, Brady, and Hult (2000), was used. The study population of this study was Izmir Provincial Directorate of Youth and Sports and the sample was composed of athletes (n = 286) who participated in sports programmes of this institution. Descriptive statistics, correlation analysis, factor analysis, and hierarchical regression analysis were used for data analysis. Reliability of the scales was determined by Cronbach’s Alpha coefficient. According to findings obtained from the analyses, scales used in this study were found to be consistent with original scales in terms of validity and reliability. According to findings of hierarchical regression analysis, staff dimension, which was sub-dimension of service quality, had a significant and positive effect on customer satisfaction (β = .210; p < 0.01). While installations dimension, which was sub-dimension of service quality, had no significant effect on customer satisfaction; programme size had a significant and positive effect on customer satisfaction (β = .567; p < 0.01). In general, service quality had a significant and positive effect on customer satisfaction (β = .435; p < 0.01).