Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding software product lines inspection in an industrial setting

Software reuse is a key aspect for software organizations interested in improving costs, time-to-market and quality. Software Product Lines (SPL) engineering is a growing concept in software engineering and it was developed towards a systematic and prescribed way to achieve reuse. SPL is a pro-active reuse strategy that explores commonalities and manages variabilities within a set of products. The inherent reuse of software artifacts in combination with the usual iterative development brings a set of improvements for the software development in an SPL context. However, the set of SPL benefits do not come for free, it demands some challenges and requires quality assurance approaches, such as testing and inspection. If these issues are not considered, as otherwise huge economic benefits, the line success can be missed. Although some authors discuss the importance of software inspections in every software engineering development, in practice, few studies discuss the relationship among inspections and artifacts from early SPL phases. The SPL Quality scenario has a lack of substantial literature discussing quality assurance techniques. Ê In this context, this dissertation presents a set of empirical evidences about Software Product Lines Inspection provided by an embedded empirical study conducted in an industrial environment, with the goal of understanding and characterizing how the inspection activity should be handled in the SPL early phases (Scoping and Requirements engineering), particularly on features, functional requirements and use cases specifications artifacts.
A health condition model for wind turbine monitoring through neural networks and proportional hazard models

In this article, a parametric model for health condition monitoring of wind turbines is developed. The study is based on the assumption that a wind turbine’s health condition can be modeled through three features: rotor speed, gearbox temperature and generator winding temperature. At first, three neural network models are created to simulate normal behavior of each feature. Deviation signals are then defined and calculated as accumulated time-series of differences between neural network predictions and actual measurements. These cumulative signals carry health condition–related information. Next, through nonlinear regression technique, the signals are used to produce individual models for considered features, which mathematically have the form of proportional hazard models. Finally, they are combined to construct an overall parametric health condition model which partially represents health condition of the wind turbine. In addition, a dynamic threshold for the model is developed to facilitate and add more insight in performance monitoring aspect. The health condition monitoring of wind turbine model has capability of evaluating real-time and overall health condition of a wind turbine which can also be used with regard to maintenance in electricity generation in electric power systems. The model also has flexibility to overcome current challenges such as scalability and adaptability. The model is verified in illustrating changes in real-time and overall health condition with respect to considered anomalies by testing through actual and artificial data.
Use of Microseismic Monitoring Data as an Aid to Rock Mechanics Decision Making and Mine Design Verification

Case studies are presented from Glencores’ Fraser Copper, Fraser Morgan and Nickel Rim South Mines showing how microseismic monitoring data can be used as an aid to rock mechanics decision making and design verification. At Nickel Rim South and Fraser Morgan, examples of how recorded development blasts can be used to quickly evaluate source location accuracy and infer the state of rockmass conditions are given. Examples are given as to how network sensitivity can enhance the understanding of the rockmass response to mining are also presented and a case is made for 3D velocity models and recognizing the impact of waveform attenuation from raypath effects, and yielded rockmass conditions. At Fraser Copper, a case history shows how seismic information was useful for evaluating the performance of a successful longhole destress blast that was performed when face-bursting was encountered during a planned underhand extraction of a highly stressed remnant.
Effect of Irrigation and Fertigation Strategies on Growth, Yield, Quality and Water Use Efficiency of Drip Irrigated Grapevine

Grapevine irrigation and fertigation are becoming important practices to ensure grape yield and yield quality in regions affected by limited water availability. Therefore the present study aimed to determine water requirement for Superior seedless grapevine under environmental conditions of Nubaria area, and to determine the effect of different water regime and fertigation practices on vine growth, fruit yield and quality and water use-efficiency. There are three irrigation treatments i.e. 60, 80 and 100% of reference evapotranspiration (I1, I2 and I3) and two fertigation programs i.e. farm fertigation program (F1) and new proposed fertigation program (F2). Irrigation was applied through surface drip irrigation and fertilization was supplied throughout irrigation system as nutrient solution in irrigation water. The results of vegetative growth are significantly affected by irrigation and fertigation treatments. The irrigation treatment (80% of ET0) reached the maximum value of all vegetative parameters in which increased by 53.76, 29.85, 59.97, 57.17, 62.50, 12.45 and 19.53% for Cane No, Spure No, Buds No, Shoots No, Bunch No., Bud Break and Fertility. The proposed fertigation program (F2) was superior over the farm fertigation program (F1). The results indicated that irrigation regime significantly affected these characters. Increasing irrigation up to 80% of potential evapotranspiration (ET0) increased the cluster weight by about 20.28% with the farm fertigation program (F1) and by about 49.00% with proposed fertigation program (F2) as compared to the farm irrigation and fertigation practices (IF1). The present results recommended irrigation of grapevine with 80% of ET0 and fertigation with proposed fertigation program (F2) to obtain the best grapevine yield. The proposed fertigation program (F2) was superior over farm fertigation program (F1) by 6.53, 14.69, 37.71, 8.11, 8.88 and 14.75 %, for TSS, total sugar, reducing sugar, weight of 100 berries, volume of 100 berried and volume of juice, respectively. It is clear that WUE has increased in case of water deficit compared with farm irrigation practice, and it is increased significantly with 80% of ET0 in comparison with non-stressed treatment (100% of ET0). The results illustrated that irrigation and fertigation treatments significantly affected the grapevine petioles nutrients content except for sodium content. All nutrients content were found to be adequate for plant and grapevine did not suffer from nutrients deficiency according the standard values. The results of the present study recommend irrigation of grapevine at 80% of reference evapotranspiration to save about 24% of irrigation water. Also recommends fertigation of grapevine with new proposed fertigation program to obtain an increase of yield by about 46.89%.
Jasmonate Signaling Pathway Modulates Plant Defense, Growth, and Their Trade-Offs

Lipid-derived jasmonates (JAs) play a crucial role in a variety of plant development and defense mechanisms. In recent years, significant progress has been made toward understanding the JA signaling pathway. In this review, we discuss JA biosynthesis, as well as its core signaling pathway, termination mechanisms, and the evolutionary origin of JA signaling. JA regulates not only plant regeneration, reproductive growth, and vegetative growth but also the responses of plants to stresses, including pathogen as well as virus infection, herbivore attack, and abiotic stresses. We also focus on the JA signaling pathway, considering its crosstalk with the gibberellin (GA), auxin, and phytochrome signaling pathways for mediation of the trade-offs between growth and defense. In summary, JA signals regulate multiple outputs of plant defense and growth and act to balance growth and defense in order to adapt to complex environments.
Developing Kazakh language speaking skills in primary schools with zoom: Teachers' opinions

This study aims to evaluate the opinions of teachers on how students gain Kazakh speaking skills with zoom in primary schools. In the 2020-2021 academic year, 24 teachers who gave training in the distance education process in various primary schools in Kazakhstan participated in the research. A semi-structured interview form was created by the researchers to collect the data. As a result of the research, the environment in which the student is located, the advantages of self-confidence and time saving for the student, the advantages of the teacher for saving time and reinforcing the technology-based teaching, the advantages for the parents to follow the student's participation in the course and contributing to their motivation, the opportunity to watch the student's repetition and benefit from different learning environments are the advantages of the system. they have defined. The high level of stress and anxiety and negative thoughts of the parents and the problems arising from the computer, internet, image, and sound quality were also defined as disadvantages. Keywords; Kazakh language; speaking skills; teacher opinions; zoom applications
Preclinical Efficacy and Toxicity Analysis of the Pan-Histone Deacetylase Inhibitor Gossypol for the Therapy of Colorectal Cancer or Hepatocellular Carcinoma

Gossypol, a sesquiterpenoid found in cotton seeds, exerts anticancer effects on several tumor entities due to inhibition of DNA synthesis and other mechanisms. In clinical oncology, histone deacetylase inhibitors (HDACi) are applied as anticancer compounds. In this study, we examined whether gossypol harbors HDAC inhibiting activity. In vitro analyses showed that gossypol inhibited class I, II, and IV HDAC, displaying the capability to laterally interact with the respective catalytic center and is, therefore, classified as a pan-HDAC inhibitor. Next, we studied the effects of gossypol on human-derived hepatoma (HepG2) and colon carcinoma (HCT-116) cell lines and found that gossypol induced hyperacetylation of histone protein H3 and/or tubulin within 6 h. Furthermore, incubation with different concentrations of gossypol (5–50 µM) over a time period of 96 h led to a prominent reduction in cellular viability and proliferation of hepatoma (HepG2, Hep3B) and colon carcinoma (HCT-116, HT-29) cells. In-depth analysis of underlying mechanisms showed that gossypol induced apoptosis via caspase activation. For pre-clinical evaluation, toxicity analyses showed toxic effects of gossypol in vitro toward non-malignant primary hepatocytes (PHH), the colon-derived fibroblast cell line CCD-18Co, and the intestinal epithelial cell line CCD 841 CoN at concentrations of ≥5 µM, and embryotoxicity in chicken embryos at ≥2.5 µM. In conclusion, the pronounced inhibitory capacity of gossypol on cancer cells was characterized, and pan-HDACi activity was detected in silico, in vitro, by inhibiting individual HDAC isoenzymes, and on protein level by determining histone acetylation. However, for clinical application, further chemical optimization is required to decrease cellular toxicity.
A Mixed-Methods Study of Marketing Students’ Game-Playing Motivations and Gamification Elements

In this article, we examine the linkage between students’ game-playing motivations and a wide variety of gamification elements within higher marketing education. Using an interpretive and convergent mixed-methods design, we discover four clusters of students that vary in terms of their game-motivational bases and views on gamification elements. Social completionists want to study together with others and enjoy the social aspects of gamification. Highly motivated completionists could be described as ambitious students who enjoy social learning but are also internally motivated and willing to accept most gamification elements. Independent completionists want to immerse themselves in learning but prefer the individual and noncompetitive elements of gamification. Pure completionists are the “let’s get it done” group, who want to focus on completing their studies and are likely to be critical toward any gamification. We propose that higher education should take into account the differences in students’ game-playing motivations and fine-tune their gamification efforts to engage and motivate different kinds of students. Finally, we provide suggestions to marketing educators on how to consider the various motivational bases of the participants in gamified experiences.
Coarse grained botnet detection based on anomaly and community detection

Botnets are the foremost common vehicle of cyber-criminal activity. They’re used for spamming, phishing, denial-of-service attacks, brute-force cracking, stealing non-public data, and cyber warfare. A botnet (also referred to as a zombie army) may be a range of net computers that, though their homeowners ar unaware of it, are got wind of to forward transmissions (including spam or viruses) to alternative computers on the web. In this paper, we have proposed a two-stage approach for botnet detection. the primary stage detects and collects network anomalies that are related to the presence of a botnet whereas the second stage identifies the bots by analyzing these anomalies. Our approach exploits the subsequent 2 observations: (1) botmasters or attack targets are easier to find as a result of the impact with several alternative nodes, and (2) the activities of infected machines are a lot of correlative with one another than those of traditional machines.
5G MIMO ANTENNA SYSTEM BASED ON PATCHED FOLDED ANTENNA WITH EBG SUBSTRATE

|A novel EBG structure in the form of a square spiral cell with a via at its middle is presented in this work to improve the isolation between the antenna elements and also enhance the overall parameters of the proposed MIMO system. Wide BW is achieved for the 6-elements MIMO system operating in the frequency range from 3 GHz to 5 GHz which is suitable for 5G mobile applications. The single antenna element consists of four coupled sections printed on an FR4 substrate. To improve the performance and maintain the BW, the EBG structure is employed to increase the isolation between the antenna elements. The proposed EBG is designed to have a bandgap from 2.5 GHz to 6.5 GHz. The addition of the EBG structure between the radiating elements reduces the envelope correlation coeﬃcient across the whole operating BW. SAR calculations are also performed using head and hand models. The performance of the proposed EBG loaded MIMO antenna is suitable to be a potential competitor for future 5G applications.
A Single-ended Simultaneously Bidirectional Transceiver for Ultra-short Reach Die to Die Links

A Single-ended Simultaneously Bidirectional Transceiver for Ultra-short Reach Die to Die Links Nadeesha Amarasinghe Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2016 The analysis and design of a Single-ended Simultaneous Bidirectional Transceiver for ultra-short reach die-to-die digital links is presented in this thesis. A novel passive hybrid circuit is presented which allows for the rejection of near-end transmit data while simultaneously receiving far-end transmit data. A transceiver was fabricated in a 28nm CMOS SOI technology as a proof of concept. A custom organic substrate BGA package was designed to house two transceiver dies and a 5mm stripline between them. An aggregate datarate of 40Gb/s (20Gb/s in each direction) was achieved between the two dies, at a power efficiency of 0.8pJ/bit, in RC-extracted simulation.
mRNA- and Adenovirus-Based Vaccines against SARS-CoV-2 in HIV-Positive People

About two years have passed since the identification of SARS-CoV-2 in China. The rapid spread of this virus all over the world and its high transmissibility and pathogenicity in humans have resulted in a global pandemic. The negative impact of COVID-19 on health, society and the economy at the global level has pushed researchers and pharmaceutical companies to develop effective vaccines to fight SARS-CoV-2. Thanks to this collaborative effort, the first COVID-19 vaccine was developed in less than a year. Since then, several COVID-19 vaccines have been validated for use by the World Health Organization. Among these, mRNA- (BNT162b2 and mRNA1273) and adenovirus-based (ChAdOx1) vaccines were developed through the use of novel technologies. While all three of these vaccines have shown effectiveness against the COVID-19 disease and their immunogenicity was characterized in clinical trials in the general population, data on their efficacy and immunogenicity in people living with HIV (PLWH) are limited. In this review, we provide a description of the characteristics of mRNA- and adenovirus-based vaccines and of the immune response elicited in the general population by vaccination. Then we describe the use of these vaccines and their efficacy and immunogenicity in people living with HIV and we conclude with a discussion regarding some open questions concerning the use of mRNA- and adenovirus-based COVID-19 vaccines in PLWH.
Parental COVID-19 Vaccine Hesitancy for Children in Romania: National Survey

Purpose: Once vaccination against COVID-19 was also possible for children over 12 years of age, parents/legal guardians had to give their consent for their vaccination. It is a crucial moment, given the large number of infected people in Romania and the fact that these children are a source of transmission of the virus in the community. The refusal or hesitation of the parents/legal guardians, regarding the agreement for the vaccination of the children, determined us to focus on this subject, wishing, based on the questioning of as many parents as possible, to extract the reasons underlying these decisions. Methods: This study is designed to observe the attitudes of parents/legal guardians regarding the refusal, hesitation, or acceptance of vaccination of children. The persons targeted to answer the questionnaire had to meet three conditions: to be at least 21 years old, to have a stable residence in Romania, and to be parents/legal guardians of at least one child under 18 years of age. The questionnaire was applied online to a number of 581 parents/legal guardians, being structured to obtain socio-demographic data and other categories of data that allow us to analyze their views on vaccinating children. Results: Sociological data resulting from the application of the questionnaire on 581 parents/legal guardians show that 183 (31.5%) adults and 140 (24.1%) children got infected with COVID-19. The total number of respondents shows that only 411 (70.7%) adults and 185 (31.8%) children are vaccinated. Conclusions: From the analysis of the data obtained through the questionnaire, following the application of the Kendall and Spearman statistical analysis tests, it is found that there is a strong link between participants’ trust/distrust in “fake news” information and their decision to vaccinate their children.
Chemical Contaminants in Table eggs

A total of 153 farm, native and organic table hen's egg samples were collected randomly from different places in Ismailia city. These samples were divided into 51 groups (17eggs each group). Each sample composed of (3 pooled eggs) were prepared to measure the levels of heavy metal contents (lead and cadmium) and estimation of some antibiotic residues (Tetracycline and erythromycin). The mean values of lead in farm, native and organic table egg samples were 0.010 ± 0.002, 0.019 ± 0.003 and 0.036 ± 0.004 ppm, respectively. While mean levels of cadmium content of farm, native and organic table hen's egg samples were 0.004 ± 0.001, 0.012 ± 0.001 and 0.016 ± 0.002 ppm, respectively. All the examined hen's eggs samples were within permissible limit for lead and cadmium. Tetracyclines and Erythromycin couldn’t be detected from any of the examined table hen's egg samples.
Certification of MDA Tools: Vision and Application

—Currently software system development is under the conversion, where traditional code oriented software development is transformed into model driven approach. A lot of methods and tools are proposed to support main statements of the model driven software development. However, there do not exist mechanisms for notification of how much valuable are the Model Driven Architecture (MDA) support tools and how close they are to the main idea of model usage for software development. One of the possible solutions how to solve the problem of selection of appropriate MDA tool can be certification process similar to that in other industries. The paper proposes the framework for such certification and shows an application of it for several MDA support tools.
Progress in pretreatment of methadone: an update since 2015

Abstract Methadone, a µ-opioid receptor agonist, is widely used in pain-relieving and treating opioid dependence. If not strictly controlled, as an opioid substitute, it can lead to abuse and cause more severe withdrawal responses than heroin. Also, overdose or abuse of this drug in clinical use may provide severe side effects such as apnea, circulatory collapse, cardiac arrest, and even death. For these reasons, simple, rapid, and efficient methods have been developed for the pretreatment of methadone. This review presents a comprehensive conclusion of the pretreatment methods used for methadone in various sample matrices, focusing on the developments since 2015. Traditionally used pretreatment methods like solid-phase extraction and liquid-liquid extraction are discussed and newly developed methods like solid-phase microextraction and liquid-liquid microextraction along with new materials applied are focused.