Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Disk I/O Performance in Xen Virtualization

1. Abstract: Virtualization is a prime factor in Cloud Computing; there are various virtualization technologies existing in the industry, nowadays virtualization is implemented with good performance benefits. It has achieved, very good overall performance, but it shows deflection in the system and IO performance concerning the workload running on virtual machines. If the VM has CPU intensive Workload then it produces considerable overheads in system performance if VM has a mix (CPU and IO intensive) type of workload, it produces a bit more overhead. However, IO intensive workloads like databases still suffer from performance degradation in virtualization. In this paper, we have analyzed disk IO handling mechanism in para-virtualization technology Xen. We have conducted experiments with database workload measured performance with different IO scheduling strategies and proposed a framework for improving disk I/O performance for database workload in a virtualized environment, which consists of a possible configuration of Linux IO scheduling strategies according to its features. The key idea is to make disk I/O requests handled by the correct scheduler instead of default scheduler shows better performance in IO Wait and read and write operations.
heterogeneity : the pathogen may survive in other geographic locations until returning to a hard 94 hit area with a depleted susceptible pool

It is well recognized that population heterogeneity plays an important role in the 13 spread of epidemics. While individual variations in social activity are often assumed to be 14 persistent, i.e. constant in time, here we discuss the consequences of dynamic heterogeneity. By 15 integrating the stochastic dynamics of social activity into traditional epidemiological models, we 16 demonstrate the emergence of a new long timescale governing the epidemic, in broad agreement 17 with empirical data. Our Stochastic Social Activity model captures multiple features of real-life 18 epidemics such as COVID-19, including prolonged plateaus and multiple waves, which are 19 transiently suppressed due to the dynamic nature of social activity. The existence of a long 20 timescale due to the interplay between epidemic and social dynamics provides a unifying picture of 21 how a fast-paced epidemic typically will transition to an endemic state. 22
Antioxidant effects of ginger, garlic and onion aqueous extracts on 2-thiobarbituric acid reactive substances (2-TBARS) and total volatile basic nitrogen (TVB-N) content in chevon and pork during frozen storage

The study investigated the effect of 10% aqueous extracts of ginger, garlic and onion on the quality and shelf life of frozen chevon and pork as reflected by changes in values of 2-thiobartituric acid reactive substances (2-TBARS) and total volatile basic nitrogen (TVB-N) over a 14 day storage under frozen conditions. The pH, 2-TBARS and TVB-N of chevon and pork were measured from frozen storage at -20°C after 14 days. The 10% aqueous extracts resulted in low pH values of 5.63, 5.79 and 5.67 at 14 day for chevon mixed with ginger, garlic and onion, respectively. After 14 days of frozen storage, results on 2-TBARS expressed as mg MDA/kg meat, for chevon mixed with aqueous extracts of ginger, garlic and onion were 2.62±0.01, 1.45±0.01 and 4.71±0.03 which were lower compared to 5.93±0.01 for raw chevon. On the other hand, on day 14 of frozen storage, pork mixed with garlic aqueous extracts had lower TBARS value of 2.13±0.01 compared to the values obtained in pork mixed with onion, ginger and control pork sample, respectively. TVB-N, in mg/100 g, was highest in control raw chevon and pork registering values of 95.70±0.32 and 84.00±0.40, respectively after 14 days. Low values of TVB-N of 7.24±0.23, 12.37±0.23 and 16.61±0.50 were observed in chevon mixed with ginger, garlic and onion compared to the values for pork mixed with ginger, garlic and onion. Therefore, findings from this study have revealed that natural aqueous antioxidant extracts of ginger, garlic and onion has antioxidative effect on lipid peroxidation in frozen stored fresh chevon and pork. Key words: 2-Thiobarbituric acid reactive substances (2-TBARS), total volatile basic nitrogen (TVB-N), antioxidants, pork, goat meat (chevon), ginger, garlic, onion.
A genome-wide association study of childhood adiposity and blood lipids

Background: The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due to its association with morbidity and mortality in later life. Methods: In this study, we have conducted genome-wide association studies (GWAS) for eight measures of adiposity and lipids in a cohort of young individuals (mean age 9.9) from the Avon Longitudinal Study of Parents and Children (ALSPAC). These measures were body mass index (BMI), systolic and diastolic blood pressure, high- density and low-density lipoprotein cholesterol, triglycerides, apolipoprotein A-I and apolipoprotein B. We next undertook functional enrichment, pathway analyses and linkage disequilibrium (LD) score regression to evaluate genetic correlations with later-life cardiometabolic diseases. Results: Using GWAS we identified 14 unique loci associated with at least one risk factor in this cohort of age 10 individuals (P<5x10-8), with lipoprotein lipid-associated loci being enriched for liver tissue-derived gene expression and lipid synthesis pathways. LD score regression provided evidence of various genetic correlations, such as childhood systolic blood pressure being genetically correlated with later-life coronary artery disease (rG=0.26, 95% CI=0.07 to 0.46, P=0.009) and hypertension (rG=0.37, 95% CI=0.19 to 0.55, P=6.57x10-5), as well as childhood BMI with type 2 diabetes (rG=0.35, 95% CI=0.18 to 0.51, P=3.28x10-5). Conclusions: Our findings suggest that there are genetic variants inherited at birth which begin to exert their effects on cardiometabolic risk factors as early as age 10 in the life course. However, further research is required to assess whether the genetic correlations we have identified are due to direct or indirect effects of childhood adiposity and lipid traits.
Efficient 2.45 GHz rectenna design including harmonic rejecting rectifier device

An efficient rectenna based on a dual Schottky diodes converter has been designed at 2.45 GHz. The proposed rectifying circuit is well suitable for wireless sensor applications because no input lowpass filter and no via-hole connections are required, resulting in a more simple structure. A simulation mixing an electromagnetic and circuit analysis has been first used to optimise the rectifier. In addition, the performances of the rectenna has been correctly predicted and characterised using an FDTD formulation extended to lumped circuit elements. The realised rectenna exhibits 83% efficiency over a 1050 Ω resistive load at a power density of 0.31 mW/cm2.
Soaking Up the Sun: Baery Investment, Renewable Energy, and Market Equilibrium Preliminary: Please Do Not Cite Without Permission

Baery storage oers a potentially valuable complement to renewable energy. Recognizing this, policymakers have recently incentivized and mandated storage as a means to integrate renewable energy and meet climate goals. is paper evaluates the equilibrium value and adoption trajectory of utility-scale baeries using California data, focusing on the impact of falling baery capital costs, complementarities with renewable energy, and market power. We add three key modeling features relative to the literature: (1) a modeling of equilibrium eects from large-scale baeries that includes ramping constraints, (2) a frontier high-frequency forecasting model of load and prices, and (3) linked competitive dynamic equilibrium models of baery adoption and operations. We nd that: (1) the value of battery storage increased sharply between 2016-19 as solar generation increased, (2) baery investment exhibits decreasing returns-to-scale—the per-unit value of baeries drops significantly with total installed baery capacity, (3) baery operations increase California’s 2018 expected discounted social surplus from the electricity market by $3.8 billion or $2.42 per MWh of solar energy generated, and (4) California would require a 35% subsidy on baeries to meet its 2024 storage mandate of 1.3 GW of power capacity. JEL Codes: L94, Q40, Q48, Q55
TARGET AUDIENCE CLASSIFICATION ON TWITTER USING TEXTUAL FEATURE EXTRACTION AND MACHINE LEARING

Social media is an increasingly important aspect of modern living. It is so much profound that it had delved into the fabric of modern living and now completely indistinguishable from it. It has affected the design of the mobile phones to a large extent, which had, until recently, used for voice based communications. Social media presents an entirely different platform for advertisements as compared to the classical methods of advertising like newspapers and television. Advertising on social media is much cheaper as compared to Newspapers and Television, with interactive graphics and multimedia options. One major advantage associated with the Social Media advertising is Target Marketing. Target Marketing refers to the approach in which the advertisement is shown only to the group of the audience which might have (possibly) interest in that category of item or service. For example, an advertisement of an Android Programming Tutorials Classes might be of interest to young enthusiastic programmer while it is of least concern to most of people. Thus, identification of the groups of people having like interest, which are potential customers of the product or service, is the key aspect of Target Marketing. Target marketing over social media is a field of active research and much of the research has been focused on Facebook and Twitter. This paper focuses upon target marketing approach with machine learning using inference mechanisms. Each of the users is labeled with feature set based on the domain of the content usually posted and shared and his “followers” and “following”. The feature set is mapped to the domain of the product and service using manually classified data. The classifier then gives the optimal probability of interest of a particular user in the product of service. The simulation of the model is done over R and the results shows a significant improvement over the benchmark techniques.
Multiscale Modeling of Chromatin: Bridging Experiment with Theory

Biophysical Society Thomas Bishop, Louisiana Tech University, United States Lars Nordenskiöld, Nanyang Technological University, Singapore Tamar Schlick, New York University, United States Andrzej Stasiak, University of Lausanne, Switzerland [1] ". how so much progress depends on the interplay of techniques, discoveries, and new ideas, probably in that order of decreasing importance" --Sydney Brenner (1927--2019), 1980 On behalf of the organizing committee: Multiscale Modeling of Chromatin: Bridging Experiment with Theory
Detection of Subscapularis Tear by MRI with Surgical Correlation

Objectives of the Study: To detect the sensitivity and specificity of mri for detecting subscapularis tear and to compare the mri findings with the surgical findings. Methods: Proportional analysis of 40 patients performed who ever referred to the Radio diagnosis department, A.J. Institute of Medical Sciences, Mangalore with clinically suspected rotator cuff tears were subjected to undergo MRI through history taking and clinical examination. MRI was performed on 1.5 Tesla MRI scanner (Siemens MagnetomAvanto 1.5 T MRI), using a dedicated surface coil for shoulder. Images were obtained in axial, coronal and sagittal planes. The tendons, muscles, glenohumeral joint, glenoid labrum, bursae, acromio-clavicular joint etc. were then studied. Results: In this study the MRI has a good sensitivity and specificity for the detection of subscapularis tendon tears. The sensitivity is 97.2% and specificity is 100.0% for MRI. In MRI the most common finding is focal discontinuity in subscapularis tear. The most common association of subscapularis tear is supraspinatus tendon tear. Conclusion: MRI is the best modality for detecting the subscapularis tendon tears both partial and full thickness. MRI have high sensitivity and specificity in identifying all rotator cuff tears.
Investigation of Moisture Content in Soil using Dielectric Constant Measurement Method

Microwave techniques for the measurement of soil moisture content are based on the fact that the dielectric properties of water and the soil particles are dissimilar. An attempt has been made for determining the relation between moisture content and dielectric constant by simple estimation of dielectric constant measurement from microwave signal. Electrical properties of soils have been measured using an automated X-band microwave set-up in the TE10 mode with Reflex Klystron source operating at frequency operating at 9.56 GHz. In this present work, authors made an attempt to present soil moisture measurement by estimation of emissivity i.e. the ratio of energy radiated by an object to absorbing the body of same physical temperature. A strategic method of measuring dielectric constant using a microwave signal is used in this research work. The measurement of the dielectric constant of the soils collected from the specific regions and analysis of results has been reported. This method is simple and can further be used for the identification of soil moisture and agricultural applications.
Myco-Degradation of Petroleum Product by Fungal Species Isolated from Petroleum Contaminated Soils

Microbial degradation is the major and ultimate natural mechanism that can clean up the petroleum hydrocarbon pollutants from the environment. Due to release of hydrocarbons in environment soils and water bodies are contaminated that cause extensive damage to local ecosystem. During present investigation myco-degradation in hydrocarbon contaminated soils has been assessed. Total eight species of six genera of fungi have been isolated from soil contaminated with petrol / petroleum products that facilitate the candidacy as bioremediation agents. Fungal isolates have been identified and in vitro examined their ability to degrade petroleum product (Petrol, Diesel and Mobil oil). All fungal isolates exhibited hydrocarbon degrading ability whereas the highest potential was observed in Curvularia lunata; however, myco-degradation potential of other fungal isolates were found as Curvularia lunata > Fusarium solani > Aspergillus niger > Aspergillus fumigates > Penicillium notatum >Fusarium oxysporum > Rhizopus nigricans > Mucor sp. Assessment of growth pattern in different concentration of Petrol, Diesel and Mobil oil revealed that soil inhabiting fungi Curvularia lunata, Fusarium solani and Aspergillus niger have greater ability to degrade petrol / petroleum product. Hence this strain can be used in cleaning oil polluted sites to protect the soil and environment.Ultimately findings revealed the extents to which the isolate could degrade crude oil hydrocarbon.
Input filter stability of drives fed from voltage inverters controlled by direct flux and torque control methods

Problems of stability of input filters of drives controlled by direct torque and flux control methods are studied. Two direct methods for AC drive control, Depenbrock's (DSC) and Takahashi's, are based on two-level hysteresis control of torque and flux. The objective of the paper is to show that in the case of inverter drives controlled by these methods and fed from a DC source through an LC input filter instabilities of this filter can often occur. The case is different from studies published by Lipo and Krause (1969) and Ahmed et al. (1986) as it includes closed loops for torque and flux control. These fast nonlinear control loops mean that during input filter voltage and current oscillations the main state variables (flux and torque) do not oscillate. The basic difficulty in the analysis of stability of multidimensional variable-structure systems is the complexity of available methods. In the paper a state-averaging model of a drive controlled by two-level hysteresis controllers is proposed. Application of this model significantly simplifies the stability analysis. The analysis has been done by plotting the migration of eigenvalues of the linearised state matrix. A new strategy of active damping of input filter oscillations is proposed and its influence on the drive behaviour during transients is shown. Theoretical considerations are supported by results of simulation of the 2.6 MW inverter-fed drive.
EXPLORING CULTURAL DIMENSIONS ON SELECTED STORIES FROM DIVERSE EPOCH

This study has been undertaken to examine the cultural dimensions in selected literary texts. Culture has been a debated topic due to its uniqueness in many countries. Examining literary work can be a credible source of cultural representation, because it is a reflection of culture and society in which people’s ideas are portrayed most creatively. The methodology includes analysis of the cultural norms, and the environment in which the characters live or originate that influence their cultural practices. Content analysis is applied by looking at relevant extracts of the texts to identify various types of cultural dimensions according to the six categories initiated by Hofstede. The study on cultural dimensions on the selection of texts from diverse era helped to identify and understand how cultural dimensions work among the characters from various cultural backgrounds. Index Terms Culture, Cultural Dimensions, Power Distance, Individualism, Collectivism.
International Journal of Emerging Electric Power Systems Numerical Modelling of Heat Generation and Distribution in the Core and Winding of Power Transformers

The power transformer is a complex and critical component of the power transmission and distribution system. System abnormalities, loading, switching and ambient condition normally contribute to accelerated aging and sudden failure. In the absence of critical components monitoring, the failure risk is always high. For early fault detection and real time condition assessment, an online monitoring system in accordance with the age and conditions of the asset would be an important tool. Power loss, heat generation and heat distribution evaluations in a large-scale oil immersed power transformer are presented here, along with the details of computer implementation and experimental verification. Core power losses are approximately constant with temperature variation or may decrease with that. Over the temperature range of 20 to 100°C the change in hysteresis loss Ph with temperature was negligible. Since the total core loss PT decreased with increasing temperature over this range, almost all the loss reduction was due to a reduction in the eddy current loss component Pe that was inversely proportional to the resistivity. Winding and oil temperature will increase with the load increasing and may create a hot spot. This is caused by degradation insulation and the loss of life in the power transformer. Hottest spot temperature and temperature profiles in radial and height coordinates were found using three different methods in this paper. The finite element method (FEM), finite difference method (FDM) and discrete furrier transform methods (DFT) are used to analyze algorithms in this paper. Computational results based on theoretical considerations and using the DFT method are shown to be in good agreement with FDM and FEM. Two mathematical formulae are proposed for temperature distribution in both radial and horizontal axes of core and windings. COMSOL for FEM, GEMINI for FDM and MATLAB for DFT are used.
SoK: The evolution of distributed dataset synchronization solutions in NDN

Distributed dataset synchronization, or Sync in short, plays the role of a transport service in the Named Data Networking (NDN) architecture. A number of NDN Sync protocols have been developed over the last decade. In this paper, we conduct a systematic examination of NDN Sync protocol designs, identify common design patterns, reveal insights behind different design approaches, and collect lessons learned over the years. We show that (i) each Sync protocol can be characterized by its design decisions on three basic components - dataset namespace representation, namespace encoding for sharing, and change notification mechanism, and (ii) two or three types of choices have been observed for each design component. Through analysis and experimental evaluation, we reveal how different design choices influence the latency, reliability, overhead, and security of dataset synchronization. We also discuss the relationship between transport and application naming, the implications of namespace encoding for Sync group scalability, and the fundamental reason behind the need for Sync Interest multicast.
IRIS Based Authentication for Bank Lockers

-Biometric system used for security purpose. Mostly the biometric system used for individual identification e.g. to scan finger, eye, iris, voice, signature, DNA, and Hand geometry. The main purpose of installing biometric system to minimize crimes and terrorist attack. The methodology of the paper to collect primary data from research, interviews, and human observation case studies. The objective of this research paper to control human theft, and terrorist activity in Pakistan. Iris recognition is known as an inherently reliable technique for human identification. Feature extraction is a crucial step for iris recognition and important task. The extracted features are used for matching. The security is an important aspect in our daily life whichever the system we consider security plays vital role. The biometric person identification technique based on the pattern of the human iris is well suited to be applied to access control and provides strong e-security. Security systems having realized the value of biometrics for two basic purposes: to verify or identify users. In this paper we focus on an efficient methodology for identification and verification for iris detection, even when the images have obstructions, visual noise and different levels of illuminations and we use the CASIA iris database it will also work for UBIRIS Iris database which has images captured from distance while moving a person. Efficiency is acquired from iris detection and recognition when its performance evaluation is accurate.
Long-Term Hyperglycemia Induces α-Synuclein Aggregation and Dopaminergic Neuronal Loss in Parkinson's Disease Mouse Model

Background: Growing evidence suggest the association between Parkinson’s disease (PD) and diabetes mellitus (DM). On a cellular level, it was proven that long-term elevated levels of glucose might lead to nigrostriatal degeneration in PD models. However, the underlying mechanism is still unclear. Previously, we have elucidated the potential of type 2 diabetes mellitus (T2DM) in facilitating PD progression, involving aggregation of both alpha-synuclein (α-syn) and islet amyloid polypeptide (IAPP) in the pancreatic and brain tissues. However, due to the complicated effect of insulin resistance on PD onset, the actual mechanism of hyperglycemia-induced dopaminergic degeneration remains unknown. Methods: In the present study, we employed the type 1 diabetes mellitus (T1DM) model induced by streptozotocin (STZ) injection, to investigate the direct effect of elevated blood glucose level on nigrostriatal degeneration. Results: We found that STZ treatment induced more severe pathological alterations in the pancreatic islets and T1DM symptoms in α-syn-overexpression mice than that in wild type (WT) mice, one month and three months after STZ injections. Behavioral tests evaluating motor performance confirmed the nigrostriatal degeneration. Furthermore, we observed a marked decrease in dopaminergic profiles and an increase of α-syn accumulation and Serine 129 (S129) phosphorylation in STZ-treated α-syn mice compared with vehicle-treated mice. At last, we observed more severe neuroinflammation in the brain of the STZ-treated α-syn mice.Conclusion: Our results solidify the potential link between DM and PD, providing insights on how hyperglycemia induces nigrostriatal degeneration and contributes to pathogenetic mechanisms in PD.