Miracle-dz/UniFAR-FTUs huggingface dataset:
Delayed Parity Update for Bridging the Gap between Replication and Erasure Coding in Server-based Storage

In recent years, there has been a demand for using inexpensive general-purpose server-based storage in a wide range of applications. To use server-based storage in legacy applications such as databases and virtual desktop infrastructure where random access is dominant, it is important to enable low data access latency. Because common server-based storage uses erasure coding (EC) to reduce the capacity overhead of redundant data, the degraded write response time of EC data becomes a performance issue. The prior studies improve the write response time of server-based storage by storing frequently accessed data with replication that enables a smaller response time than EC. However, the difference in response time between replication and EC causes unstable write response time and leads to the usability degradation of target applications. We propose dynamic redundancy control with delayed parity up-date, which asynchronizes parity updates of EC data to achieve stable write response time for server-based storage. The proposed method redirects the write request for EC data to the replicated differential data and achieves the equivalent write response time with the replication. Our evaluations confirmed that our proposed method reduces the 99-percentile write response time to one-eighth of the conventional method and enables the stable write response time in server-based storage.
Distinct Features of Healthcare Systems and An Architecture to Manage Healthcare Distributed Databases

Healthcare organizations store patient records (EMR, EHR, and PHR) in electronic formats to recall urgent information about the patients. The sharing of the health record is very much important to make urgent decisions about the individuals care and quality treat-ment. Unlike other database systems, healthcare repository systems have distinct features. Data accesses here are localized most, not performed for all patients equally and from different locations at a time, etc. As a result, managing the distributed databases containing health data using a traditional database management system (DBMS) is not a better choice. This article proposes an architecture to manage nodes by keeping transparency and share data by identifying the distinctive features of the healthcare systems. As the volume of the patient data is increasing hugely in the medical sector, other pressing issues are reducing memory consumption and managing replication to ensure data reliability. This article also proposes a new replication strategy by relating to the proposed architecture to reduce the number of replicas, network overhead, and memory consumption without compromising performance. The ex-periment result shows that the proposed system outperforms the existing conventional systems.
Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR

—Assistant Based Speech Recognition (ABSR) for air trafﬁc control is generally trained by pooling both Air Trafﬁc Controller (ATCO) and pilot data. In practice, this is motivated by the fact that the proportion of pilot data is lesser compared to ATCO while their standard language of communication is similar. However, due to data imbalance of ATCO and pilot and their varying acoustic conditions, the ASR performance is usually signiﬁcantly better for ATCOs than pilots. In this paper, we propose to (1) split the ATCO and pilot data using an automatic approach exploiting ASR transcripts, and (2) consider ATCO and pilot ASR as two separate tasks for Acoustic Model (AM) training. For speaker role classiﬁcation of ATCO and pilot data, a hypothesized ASR transcript is generated with a seed model, subsequently used to classify the speaker role based on the knowledge extracted from grammar deﬁned by International Civil Aviation Organization (ICAO). This approach provides an average speaker role identiﬁcation accuracy of 83% for ATCO and pilot. Finally, we show that training AMs separately for each task, or using a multitask approach is well suited for this data compared to AM trained by pooling all data.
Detection and classification of arrhythmia

Arrhythmias are irregularities in the rate or rhythm of the heartbeat which, in some cases, may occur sporadically in a subject’s daily life. The pulse that is over 100 beats each moment is called tachycardia, and a pulse that is under 60 beats each moment is called bradycardia. A few types of arrhythmias have no side effects. Manifestations, when present, may incorporate palpitations or feeling an interruption between pulses. In serious cases, there might be lightheadedness, passing out, shortness of breath or chest torment. While most cases of arrhythmia are not serious, some incline an individual to inconveniences like stroke or cardiovascular breakdown. Others might bring about unexpected death.
Impact of Access Cavity Design on Fracture Resistance of Endodontically Treated Molars: A Systematic Review

Objective: The main aim of this present systematic review is to ascertain whether a conservative endodontic cavity (ConsAC) has a better fracture resistance than a traditional access cavity (TradAC) in endodontically treated molars. Materials and Methods: Three independent reviewers researched without limits in multiple engines: PubMed, ScienceDirect, Scopus, ResearchGate, EBSCOhost, Wiley Online Library, and Google Scholar, in addition to reference and hand search. Articles were chosen according to a certain inclusion and exclusion criteria, which, in brief, are in vitro studies assessing the fracture resistance difference between ConsAC and TradAC performed on extracted sound human molar teeth. A quality assessment criteria was produced to evaluate the chosen articles and categorized them according to their risk of bias into low, moderate and high. Results: Out of a total of 105 studies, which were obtained from seven different search engines, only eight in vitro studies were included after eliminating the duplicates followed by the application of the eligibility criteria. Five of the articles showed low risk of bias while the others revealed a moderate risk of bias. Conclusion: To sum up, there is insufficient evidence to give a final decision whether ConsAC is more advantageous than TradAC in terms of fracture resistance and further studies regarding this topic are needed.
Assessment of nutritional composition and antifungal potential of bacteriocinogenic lactic acid bacteria from 'Kati' against toxigenic Aspergillus flavus

In this study, the nutrient contents of "Kati", a fermented cereal-based food, was revealed and antifungal activity of bacteriocin producing lactic acid bacteria (LAB) from "Kati" was assessed against aflatoxigenic Aspergillus flavus (A. flavus). The protein content (9.29%) of "Kati" was higher than (p < 0.05) wet milled-fermented sorghum (6.17%). During fermentation of milled sorghum to ready-to-eat 'Kati', anti-nutrient contents was reduced (p < 0.05) from 1.22 to 0.72 mg/100 g, 3.13 to 1.13 mg/100 g and 7.31 to 3.02 mg/100 g for tannin, phenol and phytates, respectively. Molecular technique revealed the identity of isolated LAB as Lactobacillus pentosus BS MP-10, L. paracasei 4G330, L. brevis ABRIINW, L. casei KG-5, L. sakei strain RFI LAB03, L. fermentum JCM 8607, L. plantarum KLDS 1.0607, L. rhamnosus JCM 8602 and L. lactis XLL1734. Among the isolated LAB, L. plantarum, L. lactis and L. fermentum have significant (p < 0.05) zones of inhibition of 11.0 mm, 9.1 mm and 7.8 mm, respectively, against aflatoxigenic A. flavus. The pronounced antifungal potency of L. plantarum cell free supernatant could be attributed to the presence of 3-phenyllactic acid, benzeneacetic acid, plantaricin (bacteriocin) as revealed by gas chromatography/mass Spectrometry (GC-MS). LAB produced metabolites with antifungal property that contributed to shelf life, flavor and nutrient contents of fermented foods.
I-INJECTION TOWARDS EFFECTIVE COLLABORATIVE FILTERING BY USING TKU AND TKO

We proposed a novel framework to address the above issues by proposing top-k high utility item set mining, where k is the desired number of HUIs to be mined. Here in our proposed thesis we developed two types of efficient algorithms one is NTKU (I.e. Novel mining of Top-K Utility item sets) and second one is NTKO (Novel mining of Top-K utility item sets in one phase) for mining the item sets automatically without the need of setting min_util value. By conducting various experiments on our proposed two algorithms with an online products data sets, its show that the performance of the proposed algorithms is best in displaying the products in a UP-Tree structure for the current thesis, where we can show all the utility items mapped in a tree manner under the root node
Association between Socioeconomic Status and Metabolic Syndrome in Korean Adults: Data from the Korean National Health and Nutrition Examination Survey

Background and Objectives: Metabolic syndrome (MetS) is a cluster of cardiovascular risk factors. Many studies have reported that low socioeconomic status (SES) is associated with an increased risk of developing cardiovascular disease (CVD). This study was conducted to investigate the association between SES and MetS. Methods: This study was performed using data from the seventh Korean National Health and Nutrition Examination Survey (2016–2018). A total of 16,704 subjects aged 20 years or older were assessed. SES was measured in 3 domains: household income, educational level of the subjects, and occupational status of the subjects. SES was divided into 3 groups through combination of 3 factors. MetS was defined according to the modified adult treatment panel III criteria of abdominal obesity adopted for the Korean population. Results: Of the 16,704 subjects, 5,472 (32.8%) had MetS. Of the 5,472 subjects with MetS, 2,574 (47%) were low SES. The lower the SES, the higher the prevalence of all cardiovascular risk factors except cigarette smoking. In the multivariable logistic regression analysis, low SES was independently associated with the presence of MetS after adjusting for multiple confounding factors (low vs. middle; odds ratio [OR], 0.74; 95% confidence interval [CI], 0.56–0.99; p=0.044 and low vs. high; OR, 0.67; 95% CI, 0.50–0.89; p=0.007). Conclusions: Low SES level was associated with an increased risk of MetS in the Korean adult population. This provides additional evidence for the association between low SES and an increased risk of CVD.
INVESTIGATING THE IMPACT OF COVID-19 CRISIS ON THE ECONOMY OF USA AND INDIA: A COMPARATIVE STUDY USING MACHINE LEARNING

Coronavirus disease is an infectious respiratory tract disease caused by SARS-CoV-2 virus. The spread of this pandemic had unprecedented effect on human life and world economy. With every increasing number of infected cases, latest technologies like Machine learning (ML) and Artificial intelligence (AI) are being employed for interpreting and solving the COVID-19 crisis.In the present work, we have compared the impact of COVID-19 crisis on the economy of USA and India using Artificial Intelligence and Machine Learning. We have applied Logistic Regression on the collected dataset to answer various questions related to the impact of COVID on economy of both the countries and have predicted future trends. The role of AI in setting benchmark for all future predictions and uses have also been outlined
Neutron displacement cross-sections for materials from Be to U calculated using the Arc-dpa concept

submitted to AccApp’17 13th International Topical Meeting on the Nuclear Applications of Accelerators Neutron Displacement Cross-Sections for Materials from Be to U Calculated Using the Arcdpa Concept A. Yu. Konobeyev, U. Fischer, and S. P. Simakov Karlsruhe Institute of Technology, Institute for Neutron Physics and Reactor Technology, D-76344 Eggenstein-Leopoldshafen, Germany The recently proposed athermal recombination-corrected (arc) dpa model enables, as compared to the standard NRT model, an estimation of the actual damage production in irradiated materials taking into account lattice defects surviving the thermal annealing [1]. On this basis, advanced displacement damage cross-sections were prepared for a number of materials ranging from Be to U. The parameters included in the arc-dpa formalism were taken from Ref. [1], as far as available, and else estimated on the basis of a semi-empirical systematic approach that will be described in the paper. A modified version of the NJOY2016 processing code was applied to generate improved displacement cross-sections with the current versions of the nuclear data libraries JEFF, ENDF/B, JENDL, and TENDL. The produced data files are available in ENDF/-6 and ACE format. References 1. K. Nordlund, A.E. Sand, F. Granberg, S.J. Zinkle, et al, Primary Radiation Damage in Materials, NEA/NSC/DOC(2015)9, 2015.
Kvantna bezbednost i 6G kritična infrastruktura

: In the mid 2030-s in the field of defense and national security communications the quantum computers and 6G artificial intelligence will have domination. 6G communication is accepted in a variety of mobile data comparts transmitted through spectral technologies. The human body becomes a part of the 6G network architecture. A set of network nodes or wearable devices, embedded sensors or nanodes collect confidential information that is exchanged for multiple purposes, such as health, statistics, and safety. An important part of the 6G new paradigm will be intelligent reflective surfaces, quantum teleportation, quantum encrypted messaging, 6G holography, distributed ledger, 6G layer security threats. The 6G wireless standards will allow real-time time zone high-speed internet communication with 1TB data per second. The radio frequency networks, THZ communications, molecular communications, and quantum communications will dramatically improve data rates.
PARAMETRIC COPULA ADJUSTED FOR NON-AND SEMI-PARAMETRIC REGRESSION

We consider a multivariate response regression model where each coordinate is described by a location-scale nonor semi-parametric regression, and where the dependence structure of the “noise term” is described by a parametric copula. Our goal is to estimate the associated Euclidean copula parameter given a sample of the response and the covariate. In the absence of the copula sample, the usual oracle ranks are no longer computable. Instead, we study the normal scores estimator for the Gaussian copula, and generalized pseudo-likelihood estimation for general parametric copulas, both based on residual ranks calculated from preliminary nonor semi-parametric estimators of the location and scale functions. We show that the residual-based estimators are asymptotically equivalent to their oracle counterparts, and provide explicit rate of convergence. Partially to serve this objective, we also study weighted convergence of the residual empirical process under the nonor semi-parametric regression model.
Control of an electronic ballast-discharge lamp system supplied by a multicellular converter dedicated to water purification

The presence of pathogenic microorganisms in water presents a health risk for consumers of all ages. Ultraviolet (UV) sterilization system is recommended by health services thanks to the fact that UV radiation has fast action, efficient, safe and is an economic process that respects the environment. In recent years, high-frequency electronic ballasts for discharge lamps were presented as a substitute for magnetic ballast. In the aim of generation a maximum of UV radiation at 253.7 nm (germicidal effect), it is necessary to optimize its power supply with a sinusoidal current at high-frequency, generally, about 50 kHz and arms value adapted to the lamp. We present in this contribution, the design of a high-frequency power supply (electronic ballast) based on a multicellular converter operating as an inverter. Compared to standard power supplies, the advantage of this topology is the reduction of the blocking voltage stress on the switches. Starting with the model of a converter operating in an open loop, we introduce a PI control allowing a significant improvement of the waveforms of voltage and arc current of the discharge lamp. By else, the water temperature, in which the lamp is submerged, influences the pressure of the mercury atoms in the lamp and consequently the emission of the desired ray. Then, in this contribution, we test the robustness of the controller and show that the topology of the power supply based on a multicellular converter associated with the PI control is a powerful solution to initiate the discharge and to optimize the emission of a UV-C lamp dedicated for water purification.
Oil price asymmetry, energy use and economic growth transition in Nigeria

Oil price asymmetry is a lack of the oil price equality or equivalence. It may also be referred to as the oil price fluctuation. Discussion on the impact of the oil price fluctuations on economic growth remains an interesting and attractive topic among researchers in the economies of oil producing countries. It has been argued though that the growth trend of an economy is more influenced by macroeconomic variables, such as inflation, unemployment, trade, the interest rate, savings, and investment, among other variables (Omitogun & Longe, 2017; Longe, Adelokun & Omitogun, 2018; Ahmed, Bhutto & Kalhoro, 2018). There is a strong correlation between the oil price and OIL PRICE ASYMMETRY, ENERGY USE AND ECONOMIC GROWTH TRANSITION IN NIGERIA
Engagement of University Students in Academic Activities *

Engagement is a construct considered a positive cognitive state, persistent over time, of a motivational and social nature, not focused on a single objective or situation. Engagement, in the academic context, suggests an experimentation, on the part of students, of actions that indicate a high degree of involvement in their student activities. Therefore, the aim of this study was to investigate student engagement in academic activities. This is a quantitative, cross-sectional research, carried out with descriptive, correlation, comparison of means and standardized regressions. A sociodemographic questionnaire was used to characterize the sample and the Utrecht Work Engagement Scale Students. This instrument presented high factor regressions (β> 0.40), positive and significant internal correlations (p <0.01) and Cronbach's Alpha of the three dimensions greater than 0.80, indicating adequate psychometric quality. The sample consisted of 368 students from a Higher Education Institution in the state of Paraná. In general, average levels of academic engagement are observed. Significant average differences were also identified between the dimensions of the UWES-S and sociodemographic variables such as gender, children, course and semester. Finally, the results show that students show higher engagement at the beginning of the studies and that this must be carefully managed so as not to deteriorate over the years they have lived in academia.
The effect of country - of - origin image trough quality, design and attractiveness related to product on consumer loyalty

The main goal of this research is to determine whether there is an impact of country - of -origin image on consumer loyalty to products originating from countries with positive and recognizable image and whether this impact is achieved through characteristics such as product quality and design, and attractiveness related to using the same. To examine this impact, an empirical study was conducted on a sample of 150 respondents and analysis of collected data was performed in SPSS 20. The results show that information about country of -origin image is important to consumers and has an impact on their behavior related to buying foreign product. More precisely, results show that country - of -origin image affects consumers when they choose products based on their quality and design and attractiveness that consumers feel when using these products, and also that through these characteristics country - of -origin image has effects on consumer loyalty. In accordance with the obtained results, conclusion is that it is extremely desirable for companies and governments to take into account the image that their country enjoys on the world market.
Market transition in Rural China -A New Institutional Approach 1

: With the guidance of a framework of new institutional economics, the theoretical modelling establishes the necessary and sufficient conditions for institutional change to occur in authoritarian regimes: first, external shocks must be strong, much stronger than in a democratic regime; second, the shocks must be of such a kind that gives rise to factional competition within the ruling group. It predicts that involvement by the ruled group brings about more extensive institutional change than that merely driven by the ruling group. The theory is then applied to explain rural China’s market transition. As institutional change defines pay­off structure, the extent of this change is approximated by the income advantage of cadre households relative to non­cadre households. Econometric tests based on a Chinese rural household panel data of 21 years confirm the theoretical prediction.
Searching for Narrowband excess Lyα emitters at z > 8 in the COSMOS field Using the new COSMOS2020 catalogs to find high redshift LBGs and locating emission line galaxies using the new ultra deep NB118 narrowband filter from UVISTA

Observing and classifying galaxies at high redshift is paramount to understanding the formation and evolution of the universe. This thesis aims to find and characterize Lyman break galaxies at z > 7, probing the early universe at the Epoch of Reionization. This is accomplished with preliminary access to the COSMOS2020 catalog, using new observations from the VISTA telescope. UltraVISTA is a very deep imaging survey, totalling observations spanning over 6 years, containing 4 broadband filters (Y , J , H and Ks) and one narrowband filter NB118 at 1. 18μm. COSMOS2020 (Weaver et al., subm) combines these in a multi-wavelength photometric and photo-z catalogue, including numerous of the deepest surveys of the 2 deg COSMOS field to date. The narrowband filter NB118 is placed within the FWHM of broadband filter J , sources with excess flux (emission lines) can be identified in the narrowband filter. This enables the search for strong emitters such as [OII] at redshift 2.2, [OIII] and Hβ around redshift 1.4, Hα at redshift 0.8 and Lyα at redshift 8.8. In this work the focus is on searching for Lyman break galaxies with Lyα narrowband excess at z ∼ 8.75. Candidates are selected by requiring flux blueward of the Lyα line to be consistent with zero, and inferring strict criteria for narrowband excess. No sources were found with satisfactory NB118 significance. A galaxy with substantial potential (J3) at zphot = 8.8 ± 0.6 was found, currently with narrowband excess indicating a Lyα line, but additional observation time will be required to be statistically significant. COSMOS2020 uses a wide range of deep broadband filters to create an izY JHKs chi mean detection image. This does not include NB118, and it is therefore inherently interesting to use NB118 as detection image in contrast. This yielded 114 potential new sources not previously in the COSMOS2020 catalogue. With a handful of these presenting very good candidates to be real emission line galaxies. Finally a search for lensed-, blendedand critically failed photometric redshift fitgalaxies was completed. Here sources with a photometric redshift within 2σ of the a major emission line in the NB118 filter are excluded, and the remaining galaxies are selected for narrowband excess and significance. This resulted in the detection of emission lines outside the search range and blended sources but no obvious lensed object. A bright r < 21.5 mag galaxy with complex morphology was selected and sent as observation proposal to the NOT telescope on La Palma. Spectroscopy of Hβ, Hγ, Hα, and two [OIII] lines visible in the otherwise flat spectrum, revealed a likely low metallicity irregular galaxy at redshift z = 0.101 21± 0.000 02 corresponding to a He I emission line, causing the observed narrowband excess at 10 830 A.