Diverse Sorts Research Articles

An analysis of convexity and starlikeness attributes for breaz integro-differential operator

The Geometric Theory of Analytic Functions (GTAF) is the attractive part ofcomplex analysis, which correlates with the rest of the themes in mathematics. Itsessential purpose is to formulate numerous classes of geometric analytic functions and todiscuss their geometric attributes. In continuation, the association between operatortheory and the GTAF area started to take shape and has remained a topic of wide attentiontoday. In the previous century, operator theory was extended to the complex open unit diskand has been applied to propose diverse sorts of generalizations of normalized analyticfunctions. As a result, the operator theory appears to be a good way to look for thingsin the GTAF area. Since then, the acquisition of geometric attributes by employingoperators has become a significant theme of research studies. The current studycenters on and investigates, in the classes of $\ell$-uniformly convex and starlikefunctions of order $\beta$, the convexity attribute by utilizing a modified Breazintegro-differential operator in the unit disk. Furthermore, in the class of analyticfunctions, some conditions that make the Breaz operator look like a star are looked into.

The Structure and Mechanism of Spike Protein, as Well as its Role in Numerous Viral Diseases

A spike protein is a protein that builds a huge spike that ejects from an enveloped virus’s membrane. The spike protein is the only virus membrane protein that enables the virus to penetrate through the cell. Spike Protein has three potential methods of action. Most common viral illnesses have relatively similar virus structures, which are predominantly made up of dimers or trimers of the spike glycoprotein, as well as analogous mechanisms of host cell invasion. The purpose of this paper is to explore the structure of the spike protein and its cell invasion method. The prevalence of spike protein in distinct viruses, as well as their similar invasion mechanisms, are also highlighted in the paper. We observed that many infectious viruses have very identical structures, predominantly constituted of spike glycoprotein, as well as similar processes of invasion into host cells. There are diverse sorts of pathogenesis that have been identified, especially those relating to host cell contamination and the means wherein the infection spreads and produces disease. The Spike protein must be operational for the virus to penetrate the host organism, and variations in the protein’s activation techniques are thought to have an influence in viral pathogenesis. Vaccines struggle to prevent the transmission of all virus variants due to variances in the spike protein in different viral versions, as well as modifications in them. More research into the structure of spike glycoproteins, as well as the creation of more effective vaccines to inhibit spike protein invasion and infection, are required.

Light Weighted CNN Model to Detect DDoS Attack over Distributed Scenario

The minimal-degree distributed denial-of-service attack takes advantage of flaws in the adaptive mechanisms of network protocols, which could have a big impact on network service quality. It is very hard to find, has a low attack rate, and comes at a set time. Detection methods that have been used before have problems because they only use one type of detection and are not very good at identifying the object. In the end, a way to detect many sorts of minimal DDoS assaults that use deep hybrid learning is suggested. To construct multi-type limited DDoS threat data sets and mimic diverse sorts DDoS assaults and legitimate traffic in varying situations in the 5G setting, collect congestion at the networking entry and extract flow feature info are considered. From a statistical threshold and feature engineering point of view, these data sets show how many sorts of minimal DDoS assaults are there. This study aims to develop a deep hybrid learning-based multi-type low-rate DDoS attack detection solution for 5G networks which is the novel model that is recently deployed, and a hybrid deep learning algorithm was used to train the algorithm offline, and the algorithm’s performance was compared to that of the LSTM-Light GBM and LSTM-RF algorithms. The CNN-RF revealing model was then used to detect minimal DDoS assaults at the gateway, so that multiple attacks could be detected at the same time. It can identify 4 sorts of low-rate DDoS assaults like Slow-Headers, Slow-Body, Slow-Read, and Shrew assaults, in a 120-second window. The false intercept rate is 11.03 percent. This means that 96.22 percent of traffic could be found. Using the strategy suggested can help cut down on the traffic concentration of minimal DDoS attacks at the net ingress. It can also be used in real-world situations.

Evaluation of Apriori, FP growth and Eclat association rule mining algorithms

Association rule mining means to discover the guidelines which empower us to anticipate the event of a particular thing dependent on the events of different things in the exchange. Incessant thing set mining prompts the disclosure of affiliations and connections among things in enormous value-based or social informational collections. With monstrous measures of information constantly being gathered and put away, numerous enterprises are becoming keen on mining such examples from their data sets. The disclosure of intriguing connection connections among immense measures of deal records can help in numerous business dynamic cycles, for example, inventory configuration, cross-advertising, and client shopping conduct examination. In this we assess diverse sort of calculations like Apriori, FP Growth and Eclat calculation for affiliation decide mining that deals with regular thing sets. Affiliation rule mining between various things in enormous scope data set is a significant information mining issue. We assess these calculations by considering different elements like number of exchanges, least help, memory utilization and execution time. Assessment of calculations is created dependent on exploratory information, which give end.

Spanlastics a Novel Nanovesicular Carrier: Its Potential Application and Emerging Trends in Therapeutic Delivery.

Nanotechnology-based drug delivery system has played a very crucial role in overpowering the tasks allied with the conventional dosage form. Spanlastics, an elastic nanovesicle with an ability to carry wide range of drug molecules, make it a potential drug delivery carrier. Spanlastics have extended rising curiosity for diverse sort of route of administration. They can squeeze themselves through the skin pore due to elastic and deformable nature which makes them favorable for transdermal delivery. Spanlastics consist of non-ionic surfactant or blend of surfactants. Many researchers proved that spanlastics have been significantly augment therapeutic efficacy, enhanced drug bioavailability, and reduced drug toxicity. This review summarizes various vesicular systems, composition and structure of spanlastics, advantages of spanlastics over other drug delivery systems, and mechanism of drug penetration through skin. It also gives a brief on different types of drug encapsulated in spanlastics vesicles for the treatment of various diseases.

Music General Education for Cultural Diversity－Focusing on American Music Historiography

Music is considered as one of the most effective mediums to enhance cultural diversity. As Korea becomes a more multicultural society, many scholarly works have been examining concepts and theories regarding multiculturalism and cultural diversity. Moreover, an increasing number of scholarly works pertaining to music have been written which aim to teach cultural diversity to students intent on becoming world citizens. Previous works have focused on music curriculum development, comparative studies of multiculturalism in the US and Australia, comparative studies of music textbooks, and the limits of the concept of multiculturalism. However, those studies encompass other types of music which exclude music based on western music idioms. Thus, this study aims to investigate the case of multiculturalism and to examine multicuturalism as it appears in music from the US. To do so, this study focuses on one of the textbooks written by Richard Crawford and Larry Hamberlin that is widely used in America. The research positions this textbook as a turning point in the changing of American music historiography and shows how the coverage of American music history has broadened from classical music to other diverse musical genres. Furthermore, this study will not only analyze the perspective of certain scholars, but will also examine the sort of musical diversity that has been accepted in American music historiography. Finally, this article will shed light on the new way to understand multiculturalism from a different angle.

Intrusion detection systems in the cloud computing: A comprehensive and deep literature review

AbstractAbrupt development of resources and rising expenses of infrastructure are leading institutions to take on cloud computing. Albeit, the cloud environment is vulnerable to various sorts of attacks. So, recognizing malicious software is one of the principal challenges in cloud security governance. Intrusion detection system (IDS) has turned to the most generally utilized element of computer system security that asserts the cloud from diverse sorts of attacks and threats. As evident, no systematic literature review exists that focuses on cloud computing usage within IDS processes. The previous investigations had not considered the statistical analysis method. Hence, this paper examined the IDS mechanisms in cloud computing systematically. Twenty‐two articles have been obtained using defined filters divided into four sections: hypervisor‐based IDS, network‐based IDS, machine learning‐based IDS, and hybrid IDS. The comparison is performed depending on the outcomes illustrated in the investigations. It demonstrates that IDS precision, inclusiveness, overhead, and reaction time have been discussed in many studies. Simultaneously, less attention has been paid to cost‐sensitivity, functioning, attack tolerance, and intrusion facing. This paper has made an excellent effort to organize literature drawn from multiple sources into a manuscript.

Did Dog Domestication Contribute to Language Evolution?

Different factors seemingly account for the emergence of present-day languages in our species. Human self-domestication has been recently invoked as one important force favoring language complexity mostly via a cultural mechanism. Because our self-domestication ultimately resulted from selection for less aggressive behavior and increased prosocial behavior, any evolutionary or cultural change impacting on aggression levels is expected to have fostered this process. Here, we hypothesize about a parallel domestication of humans and dogs, and more specifically, about a positive effect of our interaction with dogs on human self-domestication, and ultimately, on aspects of language evolution, through the mechanisms involved in the control of aggression. We review evidence of diverse sort (ethological mostly, but also archeological, genetic, and physiological) supporting such an effect and propose some ways of testing our hypothesis.

Nanomaterials and nanofibers as wound dressing mats: An overview of the fundamentals, properties and applications

Polymeric nanofibers can simply be fabricated through an electrospinning technique. The electrospinning process is one of the best usually utilized approaches to achieve continuous fibers in the nanosized form. Electrospinning has extended attractiveness because of its ease of use, simplicity and various applications. The electrospun fibers properties could be controlled via adjusting each procedure variables such as solution flow rate, applied voltage, as well as space between charged capillary and collector) or the properties of polymeric solution for example (e.g., molecular weight, concentration, surface tension, surface charge density, viscosity, solvent volatility, and conductivity). Furthermore, the used polymeric solution can be a polymeric melt, aqueous, or an emulsion, which give opportunity to diverse sorts of nanofiber construction. Also, by polarity inversion and by varying the collector design the properties of nanofiber can be improved. Moreover, polymeric fibers can be modified by incorporated through blending, surface modification or emulsion formation. The nanofibers were modified to provide manifold drugs, as well as multilayer polymer coating lets continuous release of the combined active moiety. Electrospun nanofibers fabricated from different polymers are utilized to realize anticancer agents and antibiotic, DNA, RNA, as well as growth factors. The current review delivers a collecting of some work concerning the usage of electrospun fibers in drug delivery with a special emphasis on electrospun nanofibers impregnated with nanoparticles also electrospun nanofibers in biomedical applications such as wound dressings prevents infection and speeds up the healing process.

Relative evaluation of acid, alkali, and hydrothermal pretreatment influence on biochemical methane potential of date biomass

Date biomass is a carbon-rich renewable resource that can be considered a potential carbon-rich substrate for energy generation over anaerobic digestion (AD). However, due to its complex nature, appropriate pretreatment is necessary to achieve a higher methane yield. Hence, the current study was envisioned to evaluate the influence of three different pretreatment strategies, namely acid, alkali, and hydrothermal pretreatment on biochemical methane potential (BMP) of seven diverse sorts of Algerian date biomass, namely Pedicels, Fibrilium, Petiole, Fruit bunch, Spath, Palm, and its mixture. Among all the pretreatment conditions, alkaline pretreatment highly influenced the lignin composition of date biomass and showed higher BMP. Among all sorts of biomass, higher BMP was detected through Palm as 295.9 mL CH4/g-TS, whereas the lowest BMP values were recorded with Petiole as 226.74 mL CH4/g-TS. Among all the experimental variations, ammonium pretreated Palm biomass documented the highest substrate conversion efficiency (63.80%), which correlates well with the observed higher BMP values. Nevertheless, there was a very marginal improvement in BMP detected in the case of other pretreatment strategies compared to alkaline pretreatment. This might be due to the efficacy of the applied pretreatment method on delignification of date biomass.

Volatile Oil Profiles of Aerial and Underground Plant Parts of Annona muricata L. (Annonaceae) Grown in Goa, India

Annona muricata Linn illustrates an extensive spectrum of ethno-pharmacological applications. The biogenic occurrence of essential oils along with other active metabolites is responsible for the bio-active functionalities offered by various plant parts of A. muricata. Owing to considerable intra-species and intra-organ diversity in essential oil compositions; the objective of this study was to validate and assess the volatile oil profiles of A. muricata plant parts cultivated in Goa, India. The essential oils were derived by hydro-distilling pulverized dried-plant samples namely rind, pulp, seed, leaf, bark and roots using glass Clevenger- type device. The quantity of essential oil yield varied substantially, depending on the plant organs from which the samples were isolated. GC/MS chemical profiling of plant organs revealed largest proportion of γ-sitosterol (28.76 %), (Z)-11-hexadecenal, 1-chlorononadecane and α-gurjunene in pulp, seed, bark and root essential oils respectively. Phytol, on the other hand, was the most prevalent essential oil component in both the rind (47.16 %) and the leaf (37.7 %). Whereas, the sole volatile found in all plant parts analysed was β-caryophyllene with greatest proportion in roots trailed by leaf and lowest in seed. Essential oils were found in significantly diverse amounts and sorts in various parts of A. muricata, including the rind, pulp, seed, leaf, bark, and root. Cluster analysis of essential oil composition from six different plant sections revealed major chemical heterogeneity, with rind-leaf and pulp-root developing a comparatively good relationship. Thus, the present study indicates that the essential oils isolated from various organs of A. muricata form a unique amalgam of bioactive metabolites that could be used as a potential medicinal source.

Tribocorrosion Evaluation of Nb2O5, TiO2, and Nb2O5 + TiO2 Coatings for Medical Applications

Materials used in biomedicine for purposes of long-time stay inside the body presents diverse sort of problems like cytotoxicity, wear, biocompatibility, and ion liberation along time. This paper presents the characterization of corrosion-wear combined phenomena on Nb2O5, TiO2, and Nb2O5 + TiO2 coatings with future applications as biomaterials. After the films’ production process using magnetron sputtering technique, they were characterized through an optic, scanning electron, and atomic force microscopy to evaluate their morphology, structure, and surface damage suffered by the synergy between wear and corrosion phenomena. The life in service of the implant was evaluated in terms of the coating behavior against inside body conditions like charge, wear, and electrochemical degradation. This test was made with electrochemical measurements in simulated biological fluid combined with the wear characterization implementing a potentiostat and a tribometer in a linear wear configuration with a bone pin. As a result, the different electrochemical responses of the films were evidenced by polarization curves and equivalent circuits of the systems. The coefficient of friction and surface degradation were also obtained and evaluated. Comparing the properties of the systems, we conclude that TiO2 coatings have better behavior in terms of the wear-corrosion synergy phenomena while the systems with Nb present pitting corrosion.

Physiological and Molecular Responses to Acid Rain Stress in Plants and the Impact of Melatonin, Glutathione and Silicon in the Amendment of Plant Acid Rain Stress.

Air pollution has been a long-term problem, especially in urban areas, that eventually accelerates the formation of acid rain (AR), but recently it has emerged as a serious environmental issue worldwide owing to industrial and economic growth, and it is also considered a major abiotic stress to agriculture. Evidence showed that AR exerts harmful effects in plants, especially on growth, photosynthetic activities, antioxidant activities and molecular changes. Effectiveness of several bio-regulators has been tested so far to arbitrate various physiological, biochemical and molecular processes in plants under different diverse sorts of environmental stresses. In the current review, we showed that silicon (tetravalent metalloid and semi-conductor), glutathione (free thiol tripeptide) and melatonin (an indoleamine low molecular weight molecule) act as influential growth regulators, bio-stimulators and antioxidants, which improve plant growth potential, photosynthesis spontaneity, redox-balance and the antioxidant defense system through quenching of reactive oxygen species (ROS) directly and/or indirectly under AR stress conditions. However, earlier research findings, together with current progresses, would facilitate the future research advancements as well as the adoption of new approaches in attenuating the consequence of AR stress on crops, and might have prospective repercussions in escalating crop farming where AR is a restraining factor.

Pagoniškieji lietuvių ir prūsų aukojimai prie vandens ir per vandenį

This article examines a specific kind of sacrifice to the pagan Lithuanian and Prussian gods recorded in the written sources of the 16th and 17th centuries, sacrifices made in and by water. There is a total of just ten such records known. Both Lithuanian and Prussian tribes practiced this kind of sacrifice. It is noteworthy that sacrifices involving water were not made to a single deity, but rather to several different gods; that the kind of sacrifice varied and that the most diverse sorts of intentions were pursued in making the sacrifice.

Impact of Screen Time on Sleep Quality

Background: Technology that years ago we could only dream of or read in science fiction novels, which we then actually created with much hope in their power of connecting people, has become a tool of gratification. To many, smart phone is an eye opener, their first alarm clock, newspaper, and stress buster. The scariest part about smart phone addiction is that it can affect our physical and mental health, our relationships, and productivity. Considering the growing use of smart phone by the youth and its impact on sleep, this study was undertaken to assess the relationship between Smart phone screen time and sleep quality. Materials and Methods: A quantitative approach with cross-sectional design was adopted for the study. An application named “Quality time” was used to assess the screen time among samples. Pittsburgh sleep quality index was used to appraise the duration of sleep. Results: The study establishes that there was a significant negative correlation between smart phone screen time and sleep duration (ρ = −0.61 P < 0.001) Conclusion: Availability of diverse sort of electronic media engages the students more on screen, which adversely affects their sleeping quality and pattern. Although the development of technology is a boon, findings of the study depict that greater the screen time, poorer the quality of the sleep.

The Intensification Of Learning Uzbek Language Using Moodle Technology

The theme of the article is «The intensification of teaching Uzbek language using Moodle technology». Be that as it may, indeed these days the impact of computerization influences by implication points and substance of tall instruction committed to Uzbek language. Educator of unused era ought to be able to select and utilize computer innovations which suit substance and purposes of instructing and which is able to offer assistance understudies to succeed in agreeable way taking into thought their identities. So, investigation of inquire about considers appears us, that in show disdain toward of significant progression in realization of diverse computer advances, their potential is utilized inadequately since of need of data around mixed media fabric, calculation of its planning and methodological suggestions how to utilize it. Subsequently, inadequately availability of strategy in educating Uzbek with the assistance of computer advances is the most reason of choice this issue for our inquire about. It comprises in look and realization of diverse sorts of computer advances which is able be able to make strides level of students' information on Uzbek. Moodle framework have started to play a progressively critical part within the educating of Uzbek language. Its utilize in this setting is bolstered by a developing body of inquire about that highlights the significance of the transaction of meaning and computer-based interaction within the prepare of educating language. Some methodologists point out the significance of computer innovation amid the method of cognition. It permits understudies to secure language in significant settings for particular purposes. The purpose of this work is hypothetical and viable examination of major strategies of utilizing computer innovations and recommendation Moodle framework within the prepare of instructing Uzbek.

Rita Felski, Hooked: Art and Attachment

Miguel Zenha Rita Felski’s new book puts in place what The Limits of Critique had requested, that is, a less counterintuitive, secluded, and priggish way of addressing art. Since for Felski critique has led us to forget “why (…) works of art matter” (p.1), we must stress the diverse sorts of co

The Estimate of Cytokines and Fibroblast Growth Factors in Patients with Breast Cancer

Breast cancer is the most common cancer in women worldwide; it is a disease characterized by the growth of malignant cells within the mammary glands. It strikes males and females; there are diverse sorts of breast cancer. Cytokines and fibroblast growth factors that play a critical role in the development and progression of breast cancer. The aim of the present study is to assess the role and the level of certain cytokines, and fibroblast growth factors in the serum of patients with breast cancer. This is case-control study, blood samples were collected randomly from 60 newly diagnosed female patients, and 60 healthy female subject controls of all age groups. Venous blood samples were collected and analyzed for cytokines (Interleukin-19 and Interleukin-23) and fibroblast growth factors (FGF-18 and FGF-23) by using ELISA. There was a highly significant difference (p <0.001) detected in serum IL-19, IL-23, and FGF-18 levels of patients compared to healthy controls except for FGF-23, which was also recorded higher value in patients but not significantly compared to controls. There was a significant positive correlation (p <0.001) between all these markers. The present study reveals significantly higher concentrations of the markers detected in patients’ blood serum compared to healthy individuals. The detection of the cytokines’ levels and their relations with breast cancer will affect the diagnosis, knowledge about the disease immunology and thereafter effects on the treatments of patients with breast cancer depending on our findings.

Editor’s Introduction

Editor’s Introduction

Annotazioni su B1,1-3 (B1,4a?) di Parmenide

The extraordinary overall textual situation of Parmenides’ B1,1-3, due to complex, variegate and polymorphous causes, entailed and still entails diverse sorts of problematic issues so to constitute a true labyrinth of philological, hermeneutical and theoretical instances interwoven each other in almost inextricable way. In this analysis, a first substantial knot of philological type resulted necessary to a preliminary discrimination for making sure the textual reconstruction in order to argue then its most literarily clear and specifiable meaning. In this way it was also possible to make sure its semantic and theoretical relevancies. This research leaded to outline and, hopefully, to demonstrate no textual corruption and following misunderstanding happened before sec. XIII, namely corresponding to the lecture present in the first available manuscript, the so-called cod. N, universally excluded and entirely misevaluated, even discarded; instead it is not only the principle, but the unique reliable codex. The detailed analyse including the autoptic exam is the result of enlightening the absolute goodness of this version and the reasons both philological and hermeneutical comparations, which allow to achieve its complete textual rehabilitation and so to grasp its real conceptual content.