Miracle-dz/UniFAR-FTUs huggingface dataset:
Data security and Confidentiality in Cloud system

: The present era is said to be an era of information and the period of digitization. The digital information is generated in terabytes daily through various sources like smart phones, social networks, sensors, user generated content. This digitization has raised several issues with respect to data storage on cloud. In the future era of Internet, this explosion of raw data and dependence on data services will grow by four-fold due to storage proliferation of data intensive services and the digital convergence of telecommunication, media and Information Communication Technology (ICT). The next generation data models for storage delivery would migrate to cloud-based infrastructure for storage which will be based on data objects with rich, extensible metadata and elaborated access methods. Such infrastructures will face several research challenges which need to be addressed in order to overcome limitations related to issues like storage access, mobility, cost, energy, security, interoperability, efficiency, etc. The major issue being, data storage security on the cloud Encryption is the process of translating plain text data into something that appears to be random and meaningless, Decryption is the process of converting ciphertext back to plaintext. To encrypt more than a small amount of data, symmetric encryption is used. A symmetric key is used during both the encryption and decryption processes. To decrypt a particular piece of ciphertext, the key that was used to encrypt the data must be used. The goal of every encryption
Mass accommodation coefficients of fresh and aged biomass-burning emissions

ABSTRACT Most chemical transport models treat the partitioning of semi-volatile organic compounds (SVOCs) with the assumption of instantaneous thermodynamic equilibrium. However, the mass accommodation coefficients, α, of biomass-burning organic aerosol (BBOA) are largely unconstrained. During the FLAME-IV campaign, we thermally perturbed aged and fresh BBOA with a variable residence time thermodenuder and measured the resulting change in particle mass concentration to restore equilibrium. We used this equilibration profile to retrieve an effective α for components of BBOA that dictated this profile and found that the mass accommodation coefficients lie within the range 0.1 ≪ α ⩽ 1. A simple plume dilution model shows a maximum of only a 7% difference between a dynamical and an instantaneous equilibrium partitioning model using our best-estimate value for α. This supports continued use of the equilibrium assumption to treat partitioning of biomass-burning emissions in chemical-transport models. Copyright © 2018 American Association for Aerosol Research
Infrastructure as a code - on Demand Infrastructure

Infrastructure as code (IaC) is the devops process to automate every single need of the infrastructure to enable better deployment speed, secured, high scalability, automated backup and restores. IaC is about writing code that describes the infrastructure where resources can easily be created, destroyed, resized, replaced and moved. It is the process of scripting environments from installing an operating system, to installing and configuring servers on instance, to configuring how the instances software communicate with one another, and much more. This paper discusses various tools and technology sets that can be used to attain an efficient infrastructure across all the industries ensuring the security using public and private clouds. Questions like how easily we can adapt, how to ensure security, how to choose the correct tools and technology set, deployment methods, benefits and implementations of the IaC, would be answered in this paper. Infrastructure as code (IaC) is the devops process to automate every single need of the infrastructure to enable better deployment speed, secured, high scalability, automated backup and restores. IaC is about writing code that describes the infrastructure where resources can easily be created, destroyed, resized, replaced and moved. It is the process of scripting environments from installing an operating system, to installing and configuring servers on instance, to configuring how the instances software communicate with one another, and much more. This paper discusses various tools and technology sets that can be used to attain an efficient infrastructure across all the industries ensuring the security using public and private clouds. Questions like how easily we can adapt, how to ensure security, how to choose the correct tools and technology set, deployment methods, benefits and implementations of the IaC, would be answered in this paper.
An Unusual Case of Bilateral Symmetric Anterior Shoulder Dislocation with Associated Bilateral Greater Tuberosity Fracture during Rapid Eye Movement Sleep Behavior Disorder

Quick Response Code Abstract: Bilateral shoulder dislocation is rare, and often posteriorly directed. Bilateral symmetric anterior shoulder dislocation is all the more rare. Its mechanism can be due to fall in an unconscious state or due to the contraction of the pectoralis and latissimus against an unyielding arm. We report a rare case of bilateral symmetric anterior shoulder dislocation with associated bilateral fracture of the greater tuberosity caused by violent muscle contractions during sleep, as part of the rapid eye movement sleep behaviour disorder. This trauma circumstance has never been reported in the literature, to our knowledge. The diagnosis was suspected clinically and confirmed by standard radiography and CT scan. The Bilateral dislocation was managed by closed reduction, and the associated bilateral greater tuberosity fracture had internal fixation by screws. The anatomical and functional result was satisfactory after three months postoperatively. Through this case, we wanted to draw the attention of orthopaedic surgeons to this pathology which is rarely missed in trauma condition, but it can be missed in non-traumatic and involuntary muscular contraction conditions.
Microstructural, morphological and electrochemical analysis of semiconductor spin-coated thin films electrodes for dye-sensitized solar cells with natural dyes as sensitizers

Dye-sensitized solar cells (DSSC’s) have been considered as an important energy resource in recent years due to its low-cost fabrication compared to silicon-based and thin film solar cells. A typical DSSC consists of three main components: a dye-sensitized semiconductor photo-anode, an electrolyte with a redox couple and a conductive counter electrode. The natural dyes containing anthocyanins, were extracted from flowers and vegetables by simple extraction techniques and used as photosensitizers in the dye-sensitized solar cells. Photo-anodes films with different nanostructured semiconductors were prepared and characterized by Fourier Transform Infrared Spectroscopy, Atomic Force Microscopy and Scanning Electron Microscopy. The Fourier Transform Infrared spectrum was obtained after the dye coating on the TiO2 layer, to identify the light absorbance behavior according to the functional groups present in the dye molecules. The photovoltaic performance was carried out to understand the effect of the different photoanode and the interaction with the dyes on the cell’s efficiency. A new work has been designed with the results of our efforts towards the construction, characterization and integration of the DSSC’s. The increasing of short-circuit current and chemical stability of the device reveal the promising characteristics to extend the natural dye-based DSSCs fabrication for large scale production.
USE OF AGRO-INPUTS IN AGRICULTURAL PRODUCTION AND WATER RESOURCES POLLUTION: A CASE STUDY OF CHU-MANGO IN THE MEKONG RIVER DELTA, VIETNAM

This paper employed the Environmental Impact Quotient (EIQ) model to determine the impact of chemical fertilizer and pesticide on farm workers, consumers and the ecology, as well as imply potential threats of Chu-mango cultivation on water resource pollution. The findings indicate that the number of root fertilizer (N–P–K) is 624.1, 542.5 and 443.5 kg/ha for seasons 1, 2 and 3, respectively. The nitrogen and phosphates misuse could leach into groundwater or enter via surface runoff into waterways. The ecology components in Chu-mango farming is the most vulnerable objective among three seasons. The field use EIQ in season 1 is the highest (1,058.56) in all of three seasons, then season 2 (747.06) and season 3 (592.34). Pesticides can move into water through direct application, runoff, and atmospheric deposition to contaminate water resources. One suggestion, therefore, is that the government could encourage mango growers to adopt good agricultural practices by training programs that raise their awareness of ecological protection. This policy would help to reject banned agrochemicals in mango production, which protects the water quality. Additionally, traceability code is needed, which would help farmers change the behavior of pesticide overuse, and is to carry out individual responsibilities for their products to communities. It not only reduces loadings of agricultural pollutants to water resources but also takes the potential trade benefit.
Stepwise regression, correlation and path-coefficient analysis for sugar and cane yields in new sugarcane somaclones

The obtained results could be displayed the effeteness of stepwise regression analysis to determine the strongest trait/s to produce the high sugar, cane yields and sugar recovery in sugarcane. The model which has two independent traits of cane yield (CY) and sugar recovery (SR) resembled to be the fit model for sugar yield and gave R = 1.000 in second and third ratoon crops as well as over both of them. Also, the model which has two independent traits of sugar yield (SY) and sugar recovery (SR) resembled to be the fit model for cane yield and gave R = 1.000 in second and third ratoon crops as well as over both of them. The model included three traits of sucrose (SUC), brix (BR) and pol (PO) with R=1.000 in second ratoon or SUC and BR with R= 0.999 in third and over both ratoons crops, resembled to be the fit model for sugar recovery. High positive and significant estimates of correlation coefficients were recorded between cane yield and each of stalk height, stalk weight, stalk number/fed and sugar yield in all studied ratoon crops. High and positive significant estimates of correlation coefficients were recorded between sugar yield and each of stalk height, stalk weight and stalks number/fed over the two ratoon crops. It is remark result that the traits of brix, purity %, pol and sugar recovery were correlated each other in high significant and positive estimates in both ratoon crops, revealing the high quality traits as important components express high sugar in sugarcane. Pathcoefficient analysis through the second, third and over both of ratoon crops revealed that the stalk weight, stalk number/fed and cane yield had the greatest direct and indirect influences on sugar yield. Moreover, the stalk number and stalk weight had the greatest direct and indirect influences on cane yield. The path coefficient analysis exhibited that sucrose contributed the greatest effects on sugar recovery even direct or indirect effects via pol, brix and purity over the both ra-
Abstract Labour and Labouring

The paper argues that the critique of political economy amounts to a comprehension of economic categories from the actual, given relations of life, which is critique of economic things as perverted social forms. In this context, the comprehension of abstract labour is specific. Instead of conceiving of it as a capitalist modality of labour in general, it expounds abstract labour as purely social in character. Abstract labour is the value producing labour because it is the socially necessary labour, which is a real abstraction. The time of abstract labour is the time of exchangeability – it compels the expenditure of concrete labour time as expenditure of socially necessary labour time. Expenditure of concrete labour that exceeds what is necessary is wasted and valueless. It has no social validity; what cannot be exchanged is burnt. «Abstract labour» is the category of a mode of production in which the satisfaction of human needs is merely a sideshow.
Perlite deposits of the Central Slovakia Volcanic Field (Western Carpathians): Geology and properties

Perlites in the Central Slovakia Volcanic Field are associated with with rhyolite dykes, cryptodomes, extrusive domes, coulées and volcanoclastic rocks of the Jastrabá Fm. (12.3–11.4 Ma). From numerous occurrences only the Lehôtka pod Brehmi (LPB) and Jastrabá (JST) represent deposits of economic interest. The LPB deposit exploits a pile of extruded hyaloclastite breccia composed of grey porous and dark dense fragments. The JST deposit exploits glassy rhyolite breccia composed of grey porous fragments associated with an extrusive dome/coulée. The perlites at both deposits are peraluminous, calc-alkaline of the high-K type, poor in phenocrysts (around 5 %) of plagioclase, biotite and minor amphibole (LPB) or sanidine/anorthoclase (JST). Glass at both deposits is silica rich (75.4–79.5 wt. % dry) with Al2O3, K2O and Na2O as other major constituents. It is inhomogeneous showing domains enriched in Na2O or K2O. Glass water content (3.0–6.0 wt. %) shows a weak positive correlation with its silica content and a negative correlation with its Na2O content. Perlites show porosities of 5–16 % (dark dense), 16–30 % (grey porous) and 30–44 % (pale grey pumiceous). Narrow stretched pores represent remnants after outgassing of ascending magma while open undeformed pores grew at a low pressure before quenching. The transformation of volcanic glass into perlite took place owing to the hydration by heated fluids of meteoric origin. The hydration was supported by a significant porosity with interconnected pores and by sustained elevated temperature. Perlites at both deposits show a low content of tightly-bound water and a low Na/K ratio. These properties are responsible for their relatively low degree of expansion. On the other hand, due to the same reason, the perlites have a good mechanical stability.
The Effect of Using Social Media on Academic Performance of Faculty Members during Covid-19 Pandemic

The use of social media has increased in schools and universities due to the new norms of teaching and learning during the Covid-19 pandemic. However, this educational paradigm shift requires further surveys to explore the potentials and restrictions, particularly in the context of Afghanistan. Therefore, a quantitative method and descriptive survey design are adopted to examine the effect of using social media (Facebook, WhatsApp, and Telegram) on the academic performance (Mean Scores of GPA) of Afghanistan faculty members who are pursuing their postgraduate studies at Universiti Teknologi Malaysia (UTM). The participants are (N=103 male and female) who are randomly selected. The data is collected through a structured survey google form. Frequency and percentage statistical analysis, Independent-Samples T-test, and IndependentMeasures ANOVA are performed as data analysis techniques. The results show a large number of WhatsApp users in terms of frequency and percentage among faculty members of Afghanistan who are using social media. The findings also examine that there is no significant difference between the mean scores of GPA in the academic performance of faculty members using different types of social media. In conclusion, the study contributes to establishing an in-depth understanding of the effect of using social media on the academic performance among faculty members based on the new policies of e-learning implementation by the Ministry of Higher Education during the Covid-19 pandemic.
HEAT GENERATION DURING IMPLANT PLACEMENT IN HIGH-DENSITY BONE: EFFECT OF DIFFERENT DRILLING TECHNIQUES

ABSTRACT Introduction: A precise drilling-sequence-protocol is essential for long-term dental implant success in high bone density (mandibular cortical bone of D1-quality). Cone beam computed tomography (CBCT) radiographic imaging and CBCT-based construction of surgical guides have been substantial for diagnosis and treatment planning. Objectives: The study aimed to measure the effect of different guided drilling techniques on the amount of heat generated during implant placement in high density. Materials and Methods: Twenty-four osteotomies for implant placement, divided equally into three groups, to test the effect of the three drilling techniques " Undersized Drilling (UD), Undersized Drilling + Ridge Spreader size 4 (UD+RS4) and Undersized Drilling + counter sink size 4 (UD+CS4) techniques". Heat generation was assessed using K-type thermocouple. Drilling and thermocouple canals were guided by the surgical template. Bone assessment, virtual planning of the implants and surgical guide construction were based on radiographic CBCT-imaging and software-based processing. Insertion torque values (ITVs) were recorded from readings of a geared motor. Results: The thermocouple results showed the least significant difference at 10 mm depth. At 5mm depth, a significant decrease in the temperature difference of the UD+RS4 group and UD+CS4 group compared to UD group was observed. At 1mm depth, there was a significant difference between the UD group and the two other groups. The UD group showed the maximum peak ITV. Conclusion: the results suggest possible advantages when self-tapping implants are inserted into high density cortical bone of D1-quality by a countersink drill since it provides lesser temperature increase at insertion.
EFFICACY AND SAFETY OF HERBAL MEDICINES IN ASIA

Herbal medicine (HM) is a part of future alternative health care. According to the World Health Organization (WHO), almost 70-80% of the population of developing countries rely on HM as an immediate need for health services, one of which is the Asian region. With the high trend of a healthy lifestyle using natural ingredients, drug safety must be a significant concern. This review article aims to provide information on studying the toxicity of Asian herbal plants to hepatotoxic and nephrotoxic activities. The research method was conducted by searching using the keywords “Herbal Medicine(HM),” “Efficacy,” “Nephrotoxicity,” “Hepatotoxicity,” “Asia,” “extract” on the Google site and Google Scholar. The primary data sources used consisted of national journals, international journals, and the WHO website. Articles were screened using the inclusion criteria of Indonesian and English journals published in the last ten years. Of the toxicity study articles discussing 10 herbs-induced liver injury (HILI) and 10 drug-induced liver injury (DILI) that we reviewed, it is known that the dose consumed has a more significant effect on the incidence of hepatotoxicity and nephrotoxicity than the duration of administration with low doses. However, the period of administration with high doses has a significant relationship with liver and kidney damage. Therefore, disseminating safety studies to the public is very important to maximize drug efficacy and avoid hepatotoxicity and nephrotoxicity.
Development of an Improved Whole Blood Assay for Diagnosis of Latent and Active Tuberculosis Cases

Background: Latent TB infection (LTBI) is an infection where the presence of disease causing organism M. tuberculosis is there without any sign and symptoms of the disease hence mostly remains undiagnosed, though Tuberculin skin test (TST) and Interferon Gamma Release Assay (IGRA) were used to diagnose the LTBI. They have their limitations, TST gives major crossreactivity with BCG vaccine and gives inaccurate results in individuals who have taken BCG and IGRA are very costly and variable sensitivity is repeated in various populations hence the modifications are needed in the IGRA for proper diagnosis of LTBI. Objectives: In the proposed study we aimed to develop an improved whole blood assay towards a diagnosis of latent and active TB infection as an alternative to the Quantiferon QFT assay Methodology: Synthetic antigenic peptides against latency specific antigens will be designed and synthesized. Designed peptides will be screened for LTBI specific cytokine by in-vitro experiments. Development & production of Whole assay using selected peptides evaluation of developed assay through ELISA in clinical samples. Study Protocol Nashine et al.; JPRI, 33(38B): 197-209, 2021; Article no.JPRI. 71198 198 Expected Results: Latent specific peptides will be identified and peptide-based whole blood assay for detection and diagnosis of tuberculosis will be developed as an indigenous alternative for the existing QFT assay. Conclusion: An improved whole blood assay will be developed for screening of LTBI in the Indian population.
Intrinsic motivation, career exposure, and quality of life: How do they influence the accounting students’ career choice?

This study aimed to determine the factors that are considered by accounting students who choose careers as public accountants and private accountants. Three factors that became the focus of observation are intrinsic motivation, career exposure, and quality of life. Data collection in this research was organized in several public and private universities in Java. The survey was distributed online and obtained 445 valid questionnaires used to test the research model. The findings indicated that students who have more career information are more likely to choose a career as a public accountant. Besides, students who have a higher perception of the quality of life tend to choose a career as a private accountant. This study has not found significant evidence on the effect of intrinsic motivation on career choice. This study promotes accounting career institutions and universities in developing the interest of the younger generation in the accounting profession, be it public accountants or private accountants. Developing from the limitations in this study, further research can develop this accountant career research model by considering other factors, as well as observing accounting students in various demographic variations.
Generalization Capability of Convolutional Neural Networks for Progress Variable Variance and Reaction Rate Subgrid-Scale Modeling

Deep learning has recently emerged as a successful approach to produce accurate subgrid-scale (SGS) models for Large Eddy Simulations (LES) in combustion. However, the ability of these models to generalize to configurations far from their training distribution is still mainly unexplored, thus impeding their application to practical configurations. In this work, a convolutional neural network (CNN) model for the progress-variable SGS variance field is trained on a canonical premixed turbulent flame and evaluated a priori on a significantly more complex slot burner jet flame. Despite the extensive differences between the two configurations, the CNN generalizes well and outperforms existing algebraic models. Conditions for this successful generalization are discussed, including the effect of the filter size and flame–turbulence interaction parameters. The CNN is then integrated into an analytical reaction rate closure relying on a single-step chemical source term formulation and a presumed beta PDF (probability density function) approach. The proposed closure is able to accurately recover filtered reaction rate values on both training and generalization flames.