Miracle-dz/UniFAR-FTUs huggingface dataset:
Container Security: An Extensive Roadmap

The containers play a crucial role in the cloud environment during application deployment as it shares same OS kernel. It reduces resource requirements and start-up time for deploying applications by an individual organizations or users. Even though containers provide light-weight virtualization, it generates a security bottleneck for the number of dedicated resources, libraries, and applications since the container isolation is comparatively weak to the legacy VMs. In the general architec ture of container, attackers can perform privilege escalation by exploiting the kernel vulnerabilities to gain the root privilege and leaks the critical information of a system. To address the present security concerns in the container, a better security based solution is essential. In this work, an extensive analysis is performed to predict the various existing access control mechanisms used for security purposes and the challenges encountered during the architecture modeling. Some use cases are considered to ensure the fulfilment of security requirements such as container protection, inter-container protection, and host protection, and it needs to provide both software and hardware solutions. This work also includes the research problems, research gaps, and further research extensions to provide security to the containers.
Innovative Practice and Promotion Countermeasures of Micro-major in Chinese Universities

Traditional talent training at universities can no longer meet the changing needs of talents brought about by rapid social and economic development. A more flexible, faster, and lower-cost talent training method of micro-majors is gradually introduced into the practice of talent training at universities. Micro-major has become an important means to make up for the lagging of majors setting at universities and a supplement to increase the supply of talents in emerging industries. The micro-major curriculum system simplifies theoretical teaching and emphasizes applied practice, which is conducive to better social training. Online and offline teaching methods are generally adopted, and the school-enterprise cooperation model is introduced, which alleviate the shortage of teachers for talent training in emerging industries to a certain extent. However, the development of micro-majors also needs to improve the actual effect of practical teaching, strengthen the construction of dual-qualified and dual-capable teacher teams, and take into account the relationship between micro-majors and general majors.
Social connections and involuntary CEO turnover: evidence from the Brazilian market

This study aimed to investigate whether the social connections between the members of the Board of Directors and the Chief Executive Officer (CEO) decreases the probability of involuntary turnover of the CEO in the Brazilian context. We collected data from Formulário de Referência between 2012 and 2018 of the companies listed on the Brasil Bolsa Balcão [B]3 and developed a Social Connection Index (SCI). Logistic regression results indicate that the probability of involuntary turnover of the CEO decreases as the SCI increases, consistent with the previous studies. Results are significant even in the presence of corporate governance indicators and additional control variables. Results show that the social connections affect the monitoring ability of the Board with respect to the CEO turnover decision. It also shows that the aggregated analysis of the data through the proposed SIC better captures this effect in the Brazilian market.
A Multimodal Critical Discourse Analysis of Corporate Apologies by Starbucks CEO from the Perspective of Crisis Management

From the perspective of crisis management, this research examines how Starbucks chief executive officer (CEO) extended corporate apologies to the stakeholders via an interview video and a monologue video under the framework of multimodal critical discourse analysis (MCDA). The apologies offered by Starbucks CEO in an interview with ABC News and a monologue were analyzed to illustrate textual, and visual characteristics. The analysis of text, discourse practice and social practice was conducted to explore apology discourse strategies employed by Starbucks CEO. The results indicated that corporate apology discourse contributes to crisis management and revealed the interplay of corporate apology discourse, crisis management, and social background.
A Multi-scale Video Classification with Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by these results, we provide an extensive empirical evaluation of CNNs on large-scale video classification using a new dataset of 1 million YouTube videos belonging to 487 classes. We study multiple approaches for extending the connectivity of a CNN in time domain to take advantage of local spatio-temporal information and suggest a multi-resolution, foveated architecture as a promising way of speeding up the training. Our best spatio-temporal networks display significant performance improvements compared to strong feature-based baselines (55.3% to 63.9%), but only a surprisingly modest improvement compared to single-frame models (59.3% to 60.9%). We further study the generalization performance of our best model by retraining the top layers on the UCF-101 Action Recognition dataset and observe significant performance improvements compared to the UCF-101 baseline model (63.3% up from 43.9%).
Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision

The contamination on the insulators may increase its surface conductivity and, as a consequence, electrical discharges occur more frequently, which can lead to interruptions in the power supply. To maintain reliability in the electrical distribution power system, components that have lost their insulating properties must be replaced. Identifying the components that need maintenance, is a difficult task as there are several levels of contamination that are hardly noticed during inspections. To improve the quality of inspections, this paper proposes to use the k-nearest neighbours (k-NN) to classify the levels of insulator contamination, based on the image of insulators at various levels of contamination simulated in the laboratory. Using computer vision features such as mean, variance, asymmetry, kurtosis, energy, and entropy are used for training the k-NN. To assess the robustness of the proposed approach, statistical analysis and a comparative assessment with well-consolidated algorithms such as decision tree, ensemble subspace, and support vector machine models are presented. The k-NN showed results of up to 85.17 % accuracy using the k-fold cross-validation method, with an average accuracy higher than 82 % for multi-classification of the contamination of the insulators, being superior to the compared models.
Identification of Human Emotions from Speech Using CNN

- Emotion is something which is derived from the environmental factors. In the writing of discourse of Speech Emotion Recognition (SER), numerous methods have been used to extricate emotions from speech. In the proposed framework for the acknowledgment of emotions from speech CNN algorithm is used. To identify emotions, feature extraction and preprocessing are done so that the undesirable clamor gets filtered out. These separated features were carried forward and sent to the CNN classifier model. The dataset will go through the extraction system which would settle on a choice with respect to the basic emotion perceives in the sound.
Habituals in Sign Language of the Netherlands: A corpus-based study

In this corpus-based study on habituals in Sign Language of the Netherlands (NGT), we investigate the manual and non-manual marking of habituality in naturalistic data. We show that both reduplication of the predicate and adverbials with a habitual flavor are used in habitual contexts, but both of these manual markers appear to be optional. As for non-manual markers, even more variation is attested; left-to-right head and body movements and narrowed eyes are the most frequently occurring non-manuals in habitual contexts but are by no means obligatory. The findings contrast with the results reported in two previous studies on habituals in NGT (Hoiting & Slobin 2001; Oomen 2016), which can be partially explained by the fact that these studies used elicitation methods. As such, the present study underscores the importance of using a combination of different methods in investigating linguistic phenomena.
Exploring Antibiotic Resistance Pattern of Escherichia coli, Salmonella spp., and Staphylococcus spp. Isolated from Eggs in Rajshahi

Chicken eggs are a major component of people’s diets, with an average yearly consumption of approximately 103 eggs per person in Bangladesh. Eggs act as an important carrier of food-borne pathogen worldwide. The study was conducted to identify the prevalence and antibiotic resistance pattern of E. coli, Salmonella spp. , and Staphylococcus spp. , in eggs isolated from farms and different markets of Rajshahi, Bangladesh. A total of 60 eggs were collected randomly between April to December 2019. The isolation and identification of bacterial pathogen was done in accordance with standard procedures. The bacterial isolates were subjected to antibiotic susceptibility testing against seven commonly used antibiotics using Kirby-Bauer disk diffusion method. An overall prevalence of E. coli, Salmonella spp. , and Staphylococcus spp. were found to be 35.0%, 28.33%, and 23.33%, respectively. E. coli were found highly resistant to penicillin (100%), tetracycline (80.95%), ampicillin (100%), and erythromycin (85.71%) and were sensitive to amoxicillin (71.42%), ciprofloxacin (85.71%), and gentamicin (95.23%). Salmonella spp. was highly resistant to penicillin (100%), erythromycin (82.35%) and tetracycline (82.35%), and was sensitive to gentamicin (94.11%), amoxicillin (76.47%) and ciprofloxacin (70.58%). Staphylococcus spp. was resistant to penicillin (100%), erythromycin (78.57%), tetracycline (85.71%), amoxicillin (100%), and ampicillin (100%) but sensitive to ciprofloxacin (85.71%), and gentamicin (92.85%). The higher prevalence of multidrug-resistant (MDR) bacteria can easily enter the food chain, which poses a public health threat.
Method for constraining light speed anisotropy by using fiber optics gyroscope experiments

The Mansouri-Sexl theory is a well known test theory of relativity. Mansouri and Sexl dealt with the theory of the Michelson-Morley, Kennedy-Thorndike and Ives-Stilwell experiments but left out the very interesting Sagnac experiment. In the following paper we will present a novel way of detecting anisotropy effects in 2 ( ) / L v c ω via a reenactment of the Sagnac experiment using fiber optic gyroscopes (FOG) where L is the length of the fiber and ω is the angular speed of the FOG. We show how the fiber optics gyroscopes are used for constraining light speed anisotropy in the framework of the Mansouri-Sexl test theory. We also show an interesting amplification effect due to the use of the Mansouri-Sexl slow clock transport equations in conjunction with FOGs. Our paper is divided into four main sections: in the first one we give an overwiew of the Mansouri-Sexl test theory of special relativity, in the second one we give a historical perspective of the Sagnac experiment, in the third section we formulate the Mansouri-Sexl theory for the Sagnac experiment and we conclude with experimental setup and results.
Postoperative Recovery Quality after General Anesthesia in Patients Undergoing Emergency Surgery

BACKGROUND: The quality of post-operative patient recovery is part of the indicators of the quality of anesthesia services. However, side effects were still found in post-operative patients, which resulted in the speed and quality of recovery (QoR) and an increase in the length of stay for patients in the hospital. AIM: This study aims to describe the quality of a patient’s recovery after general anesthesia for patients undergoing surgery in the emergency room. MATERIALS AND METHODS: This research is a descriptive study with a cross-sectional design conducted from February to July 2020. Patients numbered 52 people who are patients aged 18–59 years who are willing to fill out a questionnaire QoR-40 on the day after surgery. All data were analyzed using the statistical program SPSS. The median of the QoR-40 score will be used as a cutoff point between good and poor recovery quality. RESULTS: Fifty-two patients responded to the study with a median age of 44 years. The median QoR-40 score was 188, with most of the good category’s recovery quality (55.8%). The middle-aged group showed better QoR (68.2 vs. 31.8%), as well as the female compared to male (65 vs. 35%). Patients who underwent neurosurgery showed poor recovery 61.9 vs. 38.1%). CONCLUSION: More than half of the patients who underwent emergency surgery under general anesthesia in the emergency room of Sanglah Hospital have good recovery quality.
PBFT-BASED CONSENSUS ALGORITHMS FOR BLOCKCHAIN: A CASE STUDY

Blockchain technology is an emerging and innovative technology that came out more than 10 years ago with the appearance of Bitcoin. Blockchain allows for a distributed monetary in which no central entity exists and where the members of the system make use of consensus protocols to validate transactions. The most known consensus method is Proof of Work (PoW), which is based on solving a hard mathematical problem and it is used in Bitcoin, among others blockchains. However, there are many other approaches such as Proof of Stake (PoS) or Byzantine Fault Tolerance (BFT) based ones. Blockchains can be public, meaning that any user can freely join them, as it is the case of Bitcoin, or can be permissioned when users need access to join the system. In this work, we will study and analyse two permissioned blockchains: Exonum and Neo, which are based on the PBFT consensus algorithm and provide security against Byzantine attacks. To this end, test blockchains have been used and the performance of both blockchains is compared in terms of throughput (transactions per second) and commit time (time needed for adding a new block to the blockchain with new transactions).
Life-course trajectory of frailty and its clinical applications: a narrative review

Frailty is a condition indicating a reduced reserve in multiple systems and their disconnections. The whole body system cannot repair or recover by itself and may go into irreversible decline should interventions not be carried out early. This review discusses frailty in terms of the conceptual framework, pathophysiology, measurement and identification, lifecourse trajectory, and clinical application of assessment. It is anticipated that clinical application of the electronic frailty index expands to various specialties beyond geriatric medicine.
The Impact of Trade Openness on Trade and Tax Revenues in Nigeria (1981-2018)

The challenge to provide enough resources to fund infrastructure development has been the bane of most developing countries like Nigeria. The appropriate economic and trade policies to deploy to increase revenue generating capacity of the government become compelling. This study examined the impact of trade openness on trade and tax revenue in Nigeria between 1981 and 2018. The study employed Augmented Dickey Fuller and Phillip Peron tests to conduct the stationarity tests. Akaike Information Criterion and Final Predictor Error provided the best lag lengths. Johansen cointegration test was used to determine the long run relationship. The study employed Vector Error Correction Model for the regression analysis while T- test and F test were also done to confirm the statistical significance of the variables and the models. For autocorrelation problem, Breusch-Godfrey serial correlation LM test were conducted and other post- estimation tests were also used. The result of the study showed that trade openness was negatively related with total tax revenue and with trade tax revenue (CED). The results indicate that a unit increase in trade openness leads to 11.58% decrease in trade revenue from CED and 13.69% decrease in total revenue. Trade openness as a policy to increase tax revenue was not beneficial to the country. Trade openness should be adopted with manufacturing and productive sector orientation in mind. In addition, tariff rates should be reviewed, and the tax structure should be transparent, and judicious use of tax resources should be implemented by government.
Impact of E-Recruitment on the Effectiveness of Human Resource Department in Private HEIs in Pakistan

This study aims to expound on the concept of “E-Recruitment” and its impact on the “HR department effectiveness” in the private higher education institutions of Karachi, Pakistan. The core objectives of the research study are to determine the level of effectiveness and relationship between E-Recruitment and the HR department of private HEI’s of Karachi. A worklist can be found on industrial sectors, service sectors in the context of e-recruitment, but the research gap on educational institutions particularly Private HEI’s is still there. An in-depth literature review is discussed. The research methodology briefs that, this study was both an Explanatory and Exploratory design in nature. 2 self-developed questionnaires were utilized. Using SPSS version 25.0, the researchers performed several tests including descriptive statistics, reliability test, KMO, Bartlett’s test, Pearson Correlation, and Multiple Regression tests. The results have proved that there is a strong positive relationship between independent and dependent variables and the relationship between them is accepted at a 5% significance level. Also, it was evidenced from interviews that E-recruitment is a cost-beneficial method, has a greater geographical reach, shortened recruitment procedures, provides reliability in the recruitment procedure, and also facilitates the selection process of the HR department.
SYNTHESIS, CHARACTERIZATION, AND BIOLOGICAL ACTIVITY OF NOVEL N-PHENYLPROPYL-3-SUBSTITUTED INDOLINE-2-ONE DERIVATIVES

Objective: The objective of the present work deals with the synthesis, characterization and evaluation of antimicrobial and antioxidant activity of N -phenylpropyl-3-substituted indoline-2-one derivatives. Methods : A series of new 3-hydroxy-3-(2-oxoethyl)-1-(3-phenylpropyl) indolin-2-one derivatives 3(a-l) and 3-(2-oxoethylidene)-1-(3-phenylpropyl) indolin-2-one derivatives 4(a-l) were synthesized by knoevenagel condensation of N -phenylpropyl–5-substituted indole-2,3-diones with various acetophenones analogues. The chemical structures of synthesized compounds were confirmed by IR, 1 HNMR and Mass spectroscopic and elemental data. These compounds were also screened for their in vitro antimicrobial and antioxidant activities. Results: Novel compounds 3-hydroxy-3-(2-oxoethyl)-1-(3-phenylpropyl) indolin-2-one derivatives 3(a-l) and 3-(2-oxoethylidene)-1-(3-phenylpropyl) indolin-2-one derivatives 4(a-l) were synthesised and characterized using spectral and analytical data. The results of antibacterial and antifungal and antioxidant activities showed that some of the synthesized compounds exhibited promising results. Conclusion : All the newly synthesized compounds were screened for antimicrobial activity by cup plate method and antioxidant activity by the DPPH method using Ciprofloxacin and Amphotericin B as standards against gram positive and gram negative bacteria and fungi respectively.
Kinetic modeling and simulation of a batch biodesulfurization process by Rhodococcus erythropolis HN2

ABSTRACT Kinetic modeling and simulation, for cell growth and BDS efficiency of Rhodococcus erythropolis HN2, have been performed applying the previously statistically optimized operating conditions (Nassar et al., 2017) over a wide range of initial DBT-concentration. That revealed an increase in the specific degradation rate with initial DBT concentration, recording its maximum at 1000 ppm and regardless of the initial DBT-concentration the maximum desulfurization rate occurred at 72 h incubation period. R. erythropolis HN2 recorded maximum specific growth rate of 0.06667 h−1 with maximum specific DBT-BDS rate of 0.8818 h−1, that promotes its application in petroleum desulfurization process.
Stabilization of polymer dispersions by using ionic monomers

Surfactants are the necessary evil in the commercial production of waterborne dispersions to stabilize the polymer particles. However, they are deleterious for application properties as their migration reduces gloss, adhesion and water resistance of the films cast from these dispersions. Attempts to substitute traditional surfactants by non-migratory counterparts (e.g. surfmers) have not been completely successful.This PhD thesis aims at producing colloidal stable, high solids content and film forming emulsifier-free latexes, in which the colloidal stability is solely provided by chemically incorporated and pH insensitive ionic moieties onto the polymer particles. As major comonomers, a typical coating formulation MMA/BA (50/50 by weight) and the pH and temperature insensitive sodium styrene sulfonate (NaSS) was selected as ionic monomer. The necessary condition for the success of the approach is to achieve the chemical incorporation of the ionic monomer onto the polymer particles minimizing the amount of water soluble polymer
No adverse effect of a maternal high carbohydrate diet on their offspring, in rainbow trout (Oncorhynchus mykiss)

In order to develop a sustainable salmonid aquaculture, it is essential to continue to reduce the use of the protein-rich fishmeal. One promising solution to do so is the use of plant-derived carbohydrates in diet destined to broodstock. However, in mammals, the reduction of protein content (replaced by carbohydrates) in parental diet is known to have strong adverse effects on offspring phenotypes and metabolism. For the first time, the effect of a paternal and a maternal high carbohydrate-low protein diet was assessed on progeny at long term in the rainbow trout. A 30% protein diminution in both males and females broodstock diet during 10 month and 5 months, respectively, did not trigger adverse consequences on their offspring. At the molecular level, offspring transcriptomes were not significantly altered, emphasizing no effect on metabolism. Tenuous differences in the biochemical composition of the liver and the viscera were observed. The recorded effects remained in the normal range of value and accordingly offspring growth were not negatively affected over the long term. Overall, we demonstrated here that a 30% protein diminution during gametogenesis is feasible, confirming the possibility to increase the proportion of plant-derived carbohydrates in female broodstock diets to replace fishmeal proteins.