bluuebunny/crossref_metadata_2025 huggingface dataset:
The Pedagogical Possibilities of Critically Examining Gender and Sexuality in Initial Teacher Education Through the Lens of Intersex
Authors: Brömdal Annette , Davis Ian
Published: October 2021

Although pre-service Health and Physical Education (HPE) teachers may be acquainted with media headlines categorizing intersex bodies as “deviant,” “non-biological,” “different,” and/or “non-natural” in their reporting on eligibility testing in women's elite sports, few appear to be familiar with what intersex includes and what these tests were designed to reveal. Drawing on Evan and Rich's advocacy to critically analyse body-policies with strong normative body-pedagogies, this chapter unpacks how athletes marked by this category cannot be understood as separate from the corporeal instructions and ‘authorities' that mark and regulate their bodily representation. The chapter inspires and encourages HPE teachers to take the ‘risk' of engaging students in disruptive practices which explore the inscription of power onto particular bodies and abilities in sports and how they as both pedagogues and members of society are all ethically implicated in these relations of power.
Children of Same-Sex Couples
Authors: Perez Debra M.
Published: October 2021

As the United States becomes more accepting of sexual minority people, more opportunities have become available for same-sex couples to become parents. Blended families with a new stepparent, planned families via insemination, as well as adoption and fostering are changing what defines a family. As the definition of a family changes, so must the ways in which schools interact with each family type. The shared experiences of sexual minority parents and their children are explored, and recommendations for schools are made.
Network Security Policy Automation
Authors: Zarny Myo , Xu Meng , Sun Yi
Published: October 2021

Network security policy automation enables enterprise security teams to keep pace with increasingly dynamic changes in on-premises and public/hybrid cloud environments. This chapter discusses the most common use cases for policy automation in the enterprise, and new automation methodologies to address them by taking the reader step-by-step through sample use cases. It also looks into how emerging automation solutions are using big data, artificial intelligence, and machine learning technologies to further accelerate network security policy automation and improve application and network security in the process.
Data Security for Connected Governments and Organisations
Authors: Susanto Heru , Yie Leu Fang , Rosiyadi Didi , Basuki Akbari Indra , Setiana Desi
Published: October 2021

Digital ecosystems have grown rapidly over the years, and governments are investing in digital provision for their processes and services. Despite the advantages of distributed technologies, there are many security issues as well that result in breaches of data privacy with serious impact including legal and reputational implications. To deal with such threats, government agencies need to thoughtfully improve their security defences to protect data and systems by using automation and artificial intelligence (AI), as well as easing the data security measures including early warning of threats and detection. This study provides a comprehensive view of AI and automaton to highlight challenges and issues concerning data security and suggests steps to combat the issues. The authors demonstrate the role of AI-driven security tools and automation to mitigate the impact of data breaches to also propose recommendations for government agencies to enhance their data security protection.
Autonomous Surgical Robotics at Task and Subtask Levels
Authors: Nagy Tamás Dániel , Haidegger Tamás
Published: October 2021

The revolution of minimally invasive procedures had a significant influence on surgical practice, opening the way to laparoscopic surgery, then evolving into robotics surgery. Teleoperated master-slave robots, such as the da Vinci Surgical System, has become a standard of care during the last few decades, performing over a million procedures per year worldwide. Many believe that the next big step in the evolution of surgery is partial automation, which would ease the cognitive load on the surgeon, making them possible to pay more attention on the critical parts of the intervention. Partial and sequential introduction and increase of autonomous capabilities could provide a safe way towards Surgery 4.0. Unfortunately, autonomy in the given environment, consisting mostly of soft organs, suffers from grave difficulties. In this chapter, the current research directions of subtask automation in surgery are to be presented, introducing the recent advances in motion planning, perception, and human-machine interaction, along with the limitations of the task-level autonomy.
Industrial Automation Using Internet of Things
Authors: Jain Samyak , Chandrasekaran K.
Published: October 2021

This chapter presents a comprehensive view of Industrial Automation using internet of things (IIoT). Advanced Industries are ushering in a new age of physical production backed by the information-based economy. The term Industrie 4.0 refers to the 4th paradigm shift in production, in which intelligent manufacturing technology is interconnected with physical machines. IIoT is basically a convergence of industrial systems with advanced, near-real-time computing and analytics, powered by low cost and low power sensing devices leveraging global internet connectivity. The key benefits of Industrial IoT systems are a) improved operational efficiency and productivity b) reduced maintenance costs c) improved asset utilization, monitoring and maintenance d) development of new business models e) product innovation and f) enhanced safety. Key parameters that impact Industrial Automation are a) Security b) Data Integrity c) Interoperability d) Latency e) Scalability, Reliability, and Availability f) Fault tolerance and Safety, and g) Maintainability, Serviceability, and Programmability.
Automation of Detection and Fault Management Response of Common Last-Mile Loss-Of-Connectivity Outages Within the Access Network
Authors: Scribbins Alban , Curran Kevin
Published: October 2021

The article to assesses whether it may be possible to recommend a solution to enable automation of the process of detection and fault management of common conclusive loss-of-connectivity last-mile outages, within the access network. To ascertain the utility of the research, UK based MPLS VPN managed service providers, their fault management staff and their business customers, were surveyed using online questionnaires for their views. UK public Internet users were additionally surveyed via five UK Internet forums. UK communication providers offering MPLS VPN solutions were characterised. Access network connectivity technologies and fault management functions were compared, contrasted and analysed. An aspiration for the solution to be beneficial to the largest potential population, meant that current non-proprietary Internet Standard technologies were selected, justified and identified which could be recommended for use. It was found that of the participating survey respondents, two-thirds were in favour of automation. Many current communication provider processes were found to be mostly automated. The article concludes with recommendations of how an automated solution could potentially be enabled. This involves further use of business-to-business interfacing between communication providers, automation of their Fault Management Systems and introducing Bi-Directional forwarding for detection between last-mile active network elements.
Challenges and Trends in Home Automation
Authors: Portalés Cristina , Casas Sergio , Kreuzer Kai
Published: October 2021

Home automation (HA) systems can be considered as an implementation of the internet of everything (IoE) where many devices are linked by intelligent connections in order to improve the quality of life at home. This chapter is dedicated to analyzing current trends and challenges in HA. Energy management, safer homes, and improved control over the house are some of the benefits of HA. However, privacy, security, social disruption, installation/maintenance issues, economic costs, market fragmentation, and low interoperability represent real problems of these IoE solutions. In this regard, the latest proposals in HA try to answer some of these needs with low-cost DIY solutions, wireless solutions, and IP-based HA systems. This chapter proposes a way to deal with the interoperability problem by means of the open-source platform openHAB. It is based on the concept of a home automation bus, an idea that enables the separation of the physical and the functional view of any device, allowing to create a technology-agnostic environment, which is perfect for addressing the interoperability problem.
Home Automation and Security System Using Internet of Things
Authors: Kushwah Mahesh , Rani Rajneesh
Published: October 2021

The internet of things (IoT) is viewed as something that connects everyday objects like smart TV and smart phones. Automation is the future of human civilization. It's like operating various devices and machinery with minimum or no human intervention. In this chapter, home appliances and other electronic devices are proposed to be controlled over internet with the help of website or smartphone. Speech recognition technology has been implemented in this chapter which will help complete or partially visually impaired people or persons with physical disability. Smart CCTV concept has been developed in this chapter which will allow to operate the web camera whenever it detects motion and sleep at other times which will save energy as well as storage unlike current CCTV scenario. Also, smart CCTV captures images and video footage and provides the real-time status of the place via a registered email address, website, and mobile app. If you are outside, you can check the status of your home and be in line with it, and you will activate the home appliances from the web site and through speech.
Hybridization of Chaotic Maps and Gravitational Search Algorithm for Constrained Mechanical and Civil Engineering Design Frameworks
Authors: Rather Sajad Ahmad , Bala P. Shanthi
Published: October 2021

The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's law of universal gravitation. It uses 10 chaotic maps for optimal global search and fast convergence rate. The advantages of CGSA has been incorporated in various Mechanical and Civil engineering design frameworks which include Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss Design (TBTD), Stepped Cantilever Beam Design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with eleven state of the art stochastic algorithms. In addition, a non-parametric statistical test namely the Signed Wilcoxon Rank-Sum test has been carried out at a 5% significance level to statistically validate the results. The simulation results indicate that CGSA shows efficient performance in terms of high convergence speed and minimization of the design parameter values as compared to other heuristic algorithms. The source codes are publicly available on Github i.e. https://github.com/SajadAHMAD1.
A Novel Adaptive Genetic Algorithm for Dynamic Vehicle Routing Problem With Backhaul and Two-Dimensional Loading Constraints
Authors: Sbai Ines , Krichen Saoussen
Published: October 2021

In this paper, we consider an extension of the Dynamic Vehicle Routing Problem with Backhauls integrated with two-dimensional loading problem called DVRPB with 2D loading constraints (2L-DVRPB). In the VRPB, a vehicle can deliver (Linehaul) then collect goods from customers (backhaul) and bring back to the depot. Once customer demand is formed by a set of two-dimensional items the problem will be treat as a 2L-VRPB. The 2L-VRPB has been studied on the static case. However, in most real-life application, new customer requests can be happen over time of backhaul and thus perturb the optimal routing schedule that was originally invented. This problem has not been analysed sofar in the literature. The 2L-DVRPB is an NP-Hard problem, so, we propose to use a Genetic algorithm for routing and a packing problems. We applied our approach in a real case study of the Regional Post Office of the city of Jendouba in the North of Tunisia. Results indicate that the AGA approach is considered as the best approach in terms of solutions quality for a real world routing system.
Hybrid Binary Butterfly Optimization Algorithm and Simulated Annealing for Feature Selection Problem
Authors: Faizan Mohd , Alsolami Fawaz , Khan Raees Ahmad
Published: October 2021

Feature selection is performed to eliminate irrelevant features to reduce computational overheads. Metaheuristic algorithms have become popular for the task of feature selection due to their effectiveness and flexibility. Hybridization of two or more such metaheuristics has become popular in solving optimization problems. In this paper, we propose a hybrid wrapper feature selection technique based on binary butterfly optimization algorithm (bBOA) and Simulated Annealing (SA). The SA is combined with the bBOA in a pipeline fashion such that the best solution obtained by the bBOA is passed on to the SA for further improvement. The SA solution improves the best solution obtained so far by searching in its neighborhood. Thus the SA tries to enhance the exploitation property of the bBOA. The proposed method is tested on twenty datasets from the UCI repository and the results are compared with five popular algorithms for feature selection. The results confirm the effectiveness of the hybrid approach in improving the classification accuracy and selecting the optimal feature subset.
Product Review-Based Customer Sentiment Analysis Using an Ensemble of mRMR and Forest Optimization Algorithm (FOA)
Authors: Verma Parag , Dumka Ankur , Bhardwaj Anuj , Ashok Alaknanda
Published: October 2021

This research presents a way of feature selection problem for classification of sentiments that use ensemble-based classifier. This includes a hybrid approach of minimum redundancy and maximum relevance (mRMR) technique and Forest Optimization Algorithm (FOA) (i.e. mRMR-FOA) based feature selection. Before applying the FOA on sentiment analysis, it has been used as feature selection technique applied on 10 different classification datasets publically available on UCI machine learning repository. The classifiers for example k-Nearest Neighbor (k-NN), Support Vector Machine (SVM) and Naïve Bayes used the ensemble based algorithm for available datasets. The mRMR-FOA uses the Blitzer’s dataset (customer reviews on electronic products survey) to select the significant features. The classification of sentiments has noticed to improve by 12 to 18%. The evaluated results are further enhanced by the ensemble of k-NN, NB and SVM with an accuracy of 88.47% for the classification of sentiment analysis task.
Development of Innovation Systems in Bioinformatics Using Blockchain Platforms
Authors: Kharicheva Dina
Published: October 2021

It is reasonable to use digital technologies to organize and support an innovation system that simplify and promote interactions between innovation activity participants by performing a situational analysis of big volumes of structured and unstructured data on innovation activity subjects in the regions. The aim of the article is to substantiate the essence, peculiarities and features of integrating blockchain platforms with Big Data intelligent analytics for regional innovation development. The study was carried out as based on materials describing the development of this concept both in the whole world and its spread in the Russian economy.
Lossless Compression of Semi-Ordered Trees
Authors: Habibeche Salah eddine  , Farah Ben-Naoum
Published: October 2021

In this paper, authors are interested in the problem of lossless compression of unlabeled semi-ordered trees. Semi-ordered trees are a class of trees that present an order between some sibling while some other sibling are unordered. They offer a wide possibility of applications especially for the representation of plants architecture. Authors show that these trees present remarkable compression properties covering those of ordered and unordered trees. To illustrate this approach, authors apply these notions to a particular class of semi-ordered trees which is the most studied branching structure particularly for a botanical motivation, namely axial trees.
RETRACTED: Natural Knowledge of Smart Bioinformatics to Reduce Tasks Without Added Value or Human Contact in a Pandemic
Authors: Irina Potapova
Published: October 2021

The use of technological innovations within the business context has a major influence on product, services, business processes, sales channels, and supply channels. The associated potential advantages include, among others, increased sales or productivity, innovations in price creation, and new sorts of client interaction. Global enterprises are facing supply chain issues, consequently potentially higher operational costs, lower inventory, and the prospects of lower demand will be reluctant to disburse resources and time to connect in M&A and financing activities, predominantly if valuations of targets remain high. Digitalization of supply chain (SC) could be a way that companies can start to strategize and accomplish trade strength against supply chain disturbance.
About Shan's Bioinformatics in Research of Biomimicry of Robot-Engineering Systems
Authors: Kharicheva Dina
Published: October 2021

This Article find five categories of biomimicry are proposed, divided into five levels. It should be noted that these categories are closely interrelated - a robot with a first or second level of structural biomimicry cannot have a fourth or fifth level of kinetic biomimicry, while a low level of sensory biomimicry will also mean the impossibility of achieving a high level of behavioral biomimicry - and vice versa. The least binding to other categories has the image biomimicry, a low level of which does not in any way affect the high level of any other category of biomimicry, but a high level of which is necessary to achieve an ideal fifth level of imitation.
Reimagining Engagement
Authors: Gargano Terra , Timke Edward E.
Published: October 2021

This article explores how to successfully adapt simulations developed for traditional classrooms for synchronous platforms. Acknowledging the importance of the co-construction of knowledge and the impact of active learning in classrooms, this article explores instructional design approaches, logistical issues, and pedagogical considerations for translating successful in-person simulations to online synchronous learning environments. An example from a graduate level intercultural communication course is described as a platform for addressing lessons learned and sharing best practices. By reimagining five areas of adaptation, including materials, technology, grouping students, communication, and the role of the facilitator, faculty can examine critical junctures at the intersection of content knowledge, technology know-how, training pedagogy, and instructional design to conduct successful synchronous simulations.
Consumer Perception of Corporate Social Responsibility (CSR) Through Retail Brand Labels Disclosure
Authors: Casais Beatriz , Teixeira Andreia , Fernandes Cristina
Published: October 2021

Retail brands were initially introduced as low quality brands with low prices. Currently, customers understand that these brands are valuable price/quality options and have a preference for them. The increased competition among distribution companies have forced retailers to increasingly introduce sustainable practices, including in own brands. This paper analyses the corporate social responsibility (CSR) communication through the packaging of retailers’ products. Following a content analysis of 377 packages of private labels from seven retail chains in Portugal, the authors concluded that there is CSR information in packages disclosing a variety of themes. A survey to 539 consumer indicate that consumer perceptions of CSR in packages correspond to the issues most valued. Health topics and national origin are better perceived and valued, even when they are not the most prevalent themes in packages. Environmental signals are lower perceived and valued, even when a similar or higher prevalence in packages.
ICTs and the Localisation of the Sustainable Development Goals
Authors: Wynn Martin George , Jones Peter
Published: October 2021

The United Nations Sustainable Development Goals (SDGs) are universally seen to be global in their nature and reach, but there is a growing acceptance that they have an important local dimension. At the same time, there is an increasing recognition of the need for appropriate Information and Communication Technologies (ICTs) to support and monitor the SDGs. This article adopts a qualitative inductive research approach in examining a range of public authority and academic source material, and framework analysis is used to record, categorise and critique this material. The findings provide an overview of the role of the SDGs at the local level and an assessment of how the localisation of the SDGs is being addressed in some urban areas within Western Europe. The findings also indicate how ICTs are being deployed to support the localisation process in Western Europe and the wider world. This is followed by a discussion of some emergent issues related to the localisation of the SDGs, including the increasingly important role of ICTs.
Agility and Resilience in Information Systems Research
Authors: Goel Lakshmi , Kale Rahul W. , Zhang Justin Zuopeng , Arora Deepak
Published: October 2021

This research analyzes how the concepts of agility and resilience are treated in IS literature. While agility has been an object of study in IS research for many decades, resilience is a fairly new topic. Both are gaining strategic importance in a firm’s sustainability and growth, especially given the remarkable changes in the landscape that the firm operates in. It is thus important to understand what agility and resilience mean in IS research. Our paper is a first attempt to study IS literature and provide a thematic analysis of facets of each concept. In doing so, we identify aspects that are common to both agility and resilience and those that are unique to each. The results of this study can be used for an empirical examination of the two constructs and a validation of how they can be measured in firms. IS researchers and industrial practitioners can benefit from a deeper understanding of agility and resilience.
Compressive Behavior of ME20M Magnesium Alloy at Low Temperatures
Authors: Wang Jin , Wang Yang , Li Zi Ran
Published: October 2021

The compressive behavior of ME20M alloy along rolling direction (RD) at a wide strain rates under low temperatures is investigated in this paper. Compressive stress-strain results reveal that the effect of strain rate on yield strength and flow stress is not obvious, especially at low temperatures. Moreover, the temperature plays an important role in compressive responses. SEM observations indicate that brittle fracture is the main fracture mode at low strain rate, and ductile fracture occurs in the failure of the alloy at high strain rate.
Anomalous Temperature Dependences of Kinematic Viscosity in a Multicomponent Metal Melts
Authors: Tsepelev Vladimir S. , Starodubtsev Yuri N. , Kochetkova Yekaterina A.
Published: October 2021

The temperature dependence of the kinematic viscosity was determined in the Fe84.5Cu0.6Nb0.5Si1.5B8.6P4C0.3 melt, which has an anomaly in the temperature range 1700–1900 K. The cluster sizes participating in the viscous flow were calculated using the transition state theory. It is shown that the activation energy Ea is directly proportional to the natural logarithm of the cluster size d, and the melt viscosity decreases with increasing cluster size. In the anomalous region at heating, the activation energy first decreases and then increases. This behavior was associated with the cluster dissolution and the subsequent formation of new clusters with a different size and chemical composition. Upon cooling, the viscosity corresponds to the melt structure formed at the maximum heating temperature.
Study of the Diffusible Hydrogen Content Affected from the Welding Electrode Humidity
Authors: Areerak Anupong , Kesvarakul Ramil , Chaysuwan Washira , Limpadapun Khompee , Sukmanee Jenjira
Published: October 2021

The influences of moisture corruption and drying considerations on diffusible hydrogen were examined in this study. Two trials were carried out on an arc welding procedure, with the first being an assessment of the results of moisture contamination and the second being a test of the impact of welding constraints on diffusible hydrogen content. For example, the dispersible hydrogen found in welds was likened to the hydrogen levels of different unused electrodes. To calculate the proper drying constraints (Time and Temperature) for an applicable moisture contamination level in the weld electrode, an empirical equation was devised. For electrodes with a small diameter and welding parameter limits typically used for out-of-position welding, the equation is appropriate.
Electrical Breakdown Voltage of Palm Oil and Nano Graphene Filler in Nanofluids Application on Transformer Insulating Oil
Authors: Wajanasoonthon Kanin , Suksri Amnart
Published: October 2021

Generally, power transformers have been using mineral oil as a liquid insulator due to its availability and excellent dielectric property. However, petroleum sources are depleting, which implies that mineral oil is going to be limited in availability. So, this research is to investigate on vegetable oil with nanographene filler as a substitution. Vegetable insulating oil is considered as environment-friendly insulating oil due to their superiority of biodegradable, nature-friendly, high fire-point, and good level of breakdown voltage (BV). Nevertheless, vegetable insulating oil have high viscosity, leading to a slow flow rate on the cooling performance of power transformers. To solve this problem, a process of transesterification was used to produce palm oil methyl ester (POME) from a refined bleached deodorized palm olein (RBDPO) to reduce its viscosity. RBDPO and POME were used as two kinds of fluid-based to combine with graphene nanoparticles (GNPs). Electrical breakdown voltage tests were performed by the IEC60156 standard. The results shown that POME have higher BV than RBDPO but adding GNPs may lead to lower BV even with a small amount of concentration. Nevertheless, every nanofluid has a higher BV than 30 kV.
PRMT5 Promotes Symmetric Dimethylation of RNA Processing Proteins and Modulates Activated T Cell Alternative Splicing and Ca2+/NFAT Signaling
Authors: Sengupta Shouvonik , West Kelsi O , Sanghvi Shridhar , Laliotis Georgios , Agosto Laura M , Lynch Kristen W , Tsichlis Philip N , Singh Harpreet , Patrick Kristin L , Guerau-de-Arellano Mireia
Published: October 2021

Protein arginine methyltransferase (PRMT) 5 is the type 2 methyltransferase catalyzing symmetric dimethylation of arginine. PRMT5 inhibition or deletion in CD4 Th cells reduces TCR engagement-induced IL-2 production and Th cell expansion and confers protection against experimental autoimmune encephalomyelitis, the animal model of multiple sclerosis. However, the mechanisms by which PRMT5 modulates Th cell proliferation are still not completely understood, and neither are the methylation targets in T cells. In this manuscript, we uncover the role of PRMT5 on alternative splicing in activated mouse T cells and identify several targets of PRMT5 symmetric dimethylation involved in splicing. In addition, we find a possible link between PRMT5-mediated alternative splicing of transient receptor potential cation channel subfamily M member 4 (Trpm4) and TCR/NFAT signaling/IL-2 production. This understanding may guide development of drugs targeting these processes to benefit patients with T cell–mediated diseases.
Cutting Edge: Subunit Booster Vaccination Confers Sterilizing Immunity against Liver-Stage Malaria in Mice Initially Primed with a Weight-Normalized Dose of Radiation-Attenuated Sporozoites
Authors: Lefebvre Mitchell N , Drewry Lisa L , Pewe Lecia L , Hancox Lisa S , Reyes-Sandoval Arturo , Harty John T
Published: October 2021

Radiation-attenuated sporozoite (RAS) vaccination offers hope for global malaria control through induction of protective liver-stage–specific memory CD8 T cells. Effective RAS vaccination regimens exist; however, widespread implementation remains unfeasible. A key difficulty resides in the need to administer three or more doses i.v. to achieve sufficient immunity. Strategies to reduce the number of RAS doses are therefore desirable. Here we used mice to model human immune responses to a single, suboptimal weight-normalized RAS dose administered i.v. followed by subunit vaccination to amplify liver-stage–specific memory CD8 T cells. RAS+subunit prime-boost regimens increased the numbers of liver-stage–specific memory CD8 T cells to a level greater than is present after one RAS vaccination. Both i.v. and i.m. subunit vaccine delivery induced immunity in mice, and many vaccinated mice completely cleared liver infection. These findings are particularly relevant to human vaccine development because RAS+subunit prime-boost vaccination would reduce the logistical challenges of multiple RAS-only immunizations.
Impressions gained on a recent trip abroad
Authors: Klass Norman
Published: October 2021

No abstract available.
Presidential address
Authors: Dart Raymond A.
Published: October 2021

No abstract available.
Order out of choas
Authors: Roper M.
Published: October 2021

No abstract available.
Patterns in Audiological and Demographic Findings of Children with Hearing Loss below 3 Years of Age
Authors: Stuvert Reshma , Kavya K. S. , Sreekumar Sita
Published: October 2021

Introduction

Early identification of infants with hearing loss and initiating intervention by 6 months has been proven to have positive impacts on children. Understanding the demographic and audiologic factors influencing early identification and intervention of children with hearing loss will be valuable to professionals, implementing authorities, and stakeholders for effective service delivery. The aim of this study was to understand the patterns observed in the demographic and audiological findings of children with hearing loss below 3 years of age.

Methods

A retrospective method was adopted to collect the audiological and demographic information from 143 case files of children below 3 years of age, registered in audiology diagnostics at the Institute in the period from January 2017 to December 2017. Descriptive statistics and Pearson's correlation were used to report the findings in various demographic and audiological factors.

Results

The mean age of identification (AOI) was found to be 1.38 years (standard deviation [SD] ± 1.07); mean age of amplification was 1.54 years (SD ± 0.766); and age of intervention was 1.59 years (SD ± 0.83). There was a significant positive correlation (0.694) between AOI of hearing loss and age of amplification. The number of children who have been lost to follow-up after diagnosis was 55.2%.

Conclusions

The findings from this retrospective data can help professionals to understand how well protocol for young children with hearing loss comply with universal standards and to take necessary steps to heighten quality health-care service.
MS-Speech-Language Pathology Student Mental Health
Authors: Medina Angela Marie , Mead Jean S.
Published: October 2021

The purpose of this paper is to describe the implementation of a remote mindfulness program designed to serve as a mental health resource for MS-speech-language pathology students coping with the initial restrictions related to COVID-19. A cursory review of the literature outlining the negative social, emotional, and psychological impact COVID-19 has had on graduate students is presented. The benefits of mindfulness practice are well-documented, therefore, making it an appropriate mental health resource for minimizing the loneliness, stress, anxiety, and uncertainty experienced by students. Elements of a remote mindfulness program implemented within days of the stay-at-home order are described including the theoretical framework, session content, as well as strategies, techniques, and resources for independent practice.
A rare case report of adenomatoid odontogenic tumor in the mandibular anterior region
Authors: Johny Joseph , Sasikumar Prem , Kuttipurath Neethu , Krishna Anjana S. , Varghese Rejni
Published: October 2021

Adenomatoid odontogenic tumor is a relatively uncommon, benign (hamartomatous), noninvasive neoplasm of odontogenic origin with slow but progressive growth. It affects young individuals with a female predominance, mainly occurring in the second decade of life and has a striking tendency to occur in the anterior maxilla. Herewith, we present a rare case report of an unusual case of adenomatoid odontogenic tumor located in the mandibular anterior left region.
Applicability of Boston University approach for predicting permanent teeth size in a sample of children
Authors: El-Tramsy Ahmed A.B.A. , El-hosary Amina M. , Fakhry Neveen M.
Published: October 2021

Background

Accurate prediction of the mesiodistal widths of canines and premolars in children with primary dentition facilitates interception of malocclusion at an early age. Boston University (BU) approach is one, that is, based on primary teeth for predicting canine and premolar dimensions.

Aim

The aim was to evaluate the size of unerupted canines and premolars using BU approach in comparison to Tanaka and Johnston (T/J) analysis in a sample of Egyptian children.

Materials and Methods

A total of 300 children (150 boys and 150 girls) with an average age (7–10) years with existence of primary maxillary and mandibular canines and primary first molars and eruption of all permanent mandibular incisors, free from caries, restoration or any abnormalities in size, shape or structure of teeth. The mesiodistal widths of the required teeth were measured using digital caliper from which widths of permanent canines and premolars were predicted using both T/J analysis and BU approach.

Results

There was a strong positive correlation between BU approach and T/J analysis when used for children in mixed dentition stage.

Conclusion

Application of BU approach as a prediction method of permanent teeth dimension in a sample of Egyptian children from Tanta city in the mixed dentition stage revealed a strong correlation with the widely applied T/J analysis.
Microstrain analysis of implants retained complete mandibular overdenture by using two different attachments (an in vitro study)
Authors: Abo Goher Madiha A. , El-Shorbagy Zeinab A. , Abdul Aal Zainab M.
Published: October 2021

Purpose

The aim of this work is to evaluate strain analysis of two piece implants retained complete edentulous mandibular overdenture with two different attachment systems bar and clip attachment and extracoronal resilient attachment (ERA + bar) by using strain gauge analysis.

Materials and Methods

This in vitro strain analysis of implants retained complete mandibular overdenture with two attachments carried out on two completely edentulous mandibular models covered by 2 mm thickness mucosa. Two finished dentures were constructed one denture for each group. Group 1: two implants at canine region with bar attachment. Group 2: two implants at canine region with bar and ERA attachments. Four strain gauges were cemented around each implant, buccal, lingual, mesial, and distal. A 50 N static load was applied on the experimental model in vertical and oblique directions. Strain data of each group was collected tabulated and statically analyzed.

Results

The result of this study revealed that the difference of microstrain between the two groups was significant as the maximum microstrain recorded was found in group 1 followed by group 2. The oblique forces increase the resulting strain than vertical forces.

Conclusion

There are different patterns of strain analysis at bone–implant interface between the studied attachment designs, the ERA-bar combination exhibited better strain analysis than bar-clip system
Los Influencers Virtuales como herramienta publicitaria en la promoción de marcas y productos. Estudio de la actividad comercial de Lil Miquela
Authors: Rodrigo-Martín Luis , Rodrigo-Martín Isabel , Muñoz-Sastre Daniel
Published: October 2021

Introducción: En los últimos años se ha producido una progresiva e intensa migración de audiencias entre los medios de comunicación tradicionales y las nuevas fórmulas digitales, especialmente las redes sociales. Especialmente entre los sectores más jóvenes de la población y que, por tanto, presentan un perfil más atractivo como consumidores para los anunciantes, esta tendencia se agudiza. Esta modificación del panorama mediático exige la implementación de nuevas estrategias comunicativas y publicitarias por parte de los anunciantes. El auge de los denominados influencers ha supuesto una verdadera novedad a la hora de dar a conocer y aumentar el deseo consumo de marcas y productos de diferentes sectores. Metodología: Para llevar a cabo nuestro estudio hemos empleado una metodología multimétodo que consta principalmente del uso de la investigación científica cualitativa y cuantitativa para conseguir analizar estas estrategias comunicativas y sus posibilidades comerciales en el actual contexto digital. Resultados: El objeto de la presente investigación consiste en analizar el papel de los denominados influencers virtuales, avatares creados mediante técnicas de inteligencia artificial y realidad aumentada que permiten aunar las posibilidades comunicativas y publicitarias del influencer tradicional con el control absoluto de su actividad y “vida” en las redes. Discusión: Los influencers se han convertido en los líderes de opinión del siglo XXI y las marcas comerciales apuestan por ellos para lanzar sus mensajes. Conclusiones: Los influencers virtuales son un elemento necesario para entender la evolución de la comunicación publicitaria en el actual contexto digital.
Резонансы для оператора Дирака на полуоси
Authors: Korotyaev Evgeny Leonidovich , Mokeev Dmitry Sergeevich
Published: October 2021

Мы решаем обратную задачу восстановления потенциала по функции Йоста и по матрице рассеяния для безмассового оператора Дирака на полуоси с потенциалом с фиксированной верхней границей носителя и доказываем, что потенциал такого оператора однозначно определяется своими резонансами.
The Impact of the Closure of the Live Poultry Market due to COVID-19 on the Avian Influenza Virus in Nanchang, Jiangxi Province, China
Authors: Guo Jin , Song Wentao , Ni Xiansheng , Zhou Kun , Wu Jingwen , Liu Wei , Xia Wen , He Fenglan , Tong Xiaoqin , Fan Guoyin , Deng Zhiqiang , Liao Zheng , Chen Haiying , Chen Shengen
Published: October 2021

This article aims to understand the changes in the detection rates of H5, H7, and H9 subtypes of avian influenza viruses (AIVs) in the live poultry markets (LPMs) in Nanchang City, Jiangxi Province, before and after the outbreak of the COVID-19. From 2019 to 2020, we monitored the LPM and collected specimens, using real-time reverse transcription polymerase chain reaction technology to detect the nucleic acid of type A AIV in the samples. The H5, H7, and H9 subtypes of influenza viruses were further classified for positive results. We analyzed 1,959 samples before and after the outbreak and found that the positive rates of avian influenza A virus (39.69%) and H9 subtype (30.66%) after the outbreak were significantly higher than before the outbreak (26.84% and 20.90%, respectively; P < 0.001). In various LPMs, the positive rate of H9 subtypes has increased significantly (P ≤ 0.001). Positive rates of the H9 subtype in duck, fecal, daub, and sewage samples, but not chicken samples, have increased to varying degrees. This study shows that additional measures are needed to strengthen the control of AIVs now that LPMs have reopened after the relaxing of COVID-19–related restrictions.
Humor in Historical Memory: from an Anecdote and Caricature to an Internet Meme
Authors: Artamonov Denis S.
Published: October 2021

The article is devoted to the study of the role of anecdotes, caricatures and Internet memes in the construction of historical memory. The memory of the past implies emotional content, the expression of which is often humor. The author views an anecdote as a component of oral history and a communication phenomenon of the pre-digital era, in which the representation of ideas about the past was humorous. A historical anecdote, being originally a kind of didactic historiography, has been transformed into a tool for transmitting an informal interpretation of history, and once in the digital media environment, it has lost its former meaning. Mass media, with the help of a caricature representing history in a humorous way, have visualized the images of the past, setting certain evaluative frameworks of historical and political events. Being an element of traditional media as well as a work of art, caricature encouraged the formation of historical memory along with other artistic genres. In the digital age, it, like a historical anecdote, has given way to Internet memes in the media sphere. The author considers Internet memes to be the phenomena of digital culture, defining them as a kind of a polymodal, metaphorical, often ironic, humorous utterance that is spread in the media environment. A historical Internet meme, combining the images of popular culture and collective memory in a visual text format, has a decisive influence on the perception of historical events and personalities by social media audiences. With the help of Internet memes a great number of Internet users create their own versions of the interpretation of history in a humorous form, thus reproducing the collectively shared mythologized ideas about the past.
On the Educational Potential of Humor, Science Fiction, and Game
Authors: Balakireva Tatiana A. , Mogilevich Mariia N.
Published: October 2021

The modern cultural situation contributes to the rethinking of many areas of human activity that once seemed basic. This is how the image of education which in European culture is traditionally associated with the discipline of mind and will and therefore with extreme seriousness has been changing dramatically. The possibility of such an approach was closely related to the value of knowledge which was once unconditional. However, modern media sources which made knowledge accessible and the patterns of obtaining it ordinary have removed the educational sphere from its common position. Today we see how education is reforming its own aims and objectives and what new methods it attracts in order to keep being an integral part of the personality development in culture. In this article, we will consider one of the aspects of the transformation of education, specifically, the search for new motives for learning. Our goal will be to characterize the educational potential of mechanics drawn from areas such as humor, fiction, and play. All the three phenomena are traditionally perceived rather as part of an entertaining, “not serious” sphere of human activity. We will try to prove their effectiveness in relation to new challenges in the educational area that are generated by the era of new media technologies.
The Boundaries of Funniness and the Dilution of Audience Identity in the Musical-Dramatic Art
Authors: Levchenko Viktor L. , Kovalova Nina I.
Published: October 2021

This paper sets out to examine the transformation of comedy in the history of European theatre. Musical performance extends the semiotic space of the original genre into a field of fluid and open meanings and signs incorporating and suggesting many interpretations, some of which are ironic. It is argued in contemporary aesthetics that, on the one hand, art cannot exist without a discourse interpreting it, while on the other, there exists the demand to avoid interpretation, which at once legitimizes the aesthetic effect and castrates the object of art. Provocation is used as an instrument for solving the problems of observing the object of art in a new way and understanding modern reality, and provocation is not complete without irony and self-irony. Wit, irony, and comicality are transformed as fitting into the style of the absurd and deconstructing the border between the funny and the serious. The purpose of such provocations is to put the viewer into a position of uncertainty and aesthetic shock, and this stupor inexorably leads the beholder to encounter the object of art and nurtures a new understanding of their own self. This clash of the spectator’s viewpoint created by provocative shows dispossesses theatre productions of the status of “museum exhibits”. This paper will examine the organicness of elements of the laughter culture and comic devices for musical and dramatic theatre.
Análise de viabilidade econômica para implantação de energia fotovoltaica residencial na cidade de João Pessoa/PB
Authors: Silva Matheus Melo , Rotella Junior Paulo , Peruchi Rogério , Rocha Luiz Célio Souza , Aquila Giancarlo
Published: October 2021

A energia solar fotovoltaica é uma das principais alternativas de energia renovável do mundo. Sua capacidade de renovação infinita e o barateamento nos últimos anos das placas solares, aliado ao aumento das tarifas de energia elétrica no Brasil, fez com que nos últimos anos a energia solar ganhasse bastante força. Este trabalho tem por objetivo analisar a viabilidade econômica da instalação de um sistema de geração fotovoltaica conectado à rede de distribuição para uma residência localizada no município de João Pessoa, no estado da Paraíba. Para isso, foi analisado o cenário atual de ofertas e oportunidades desse sistema, foi dimensionado um sistema de geração fotovoltaica para uma residência, a partir de dados como tarifa, consumo local diário, potência dos módulos, tipos de fixação e considerados valores climáticos da região. Para a análise de viabilidade, foram empregados métodos, como: o Valor Presente Líquido, a Taxa Interna de Retorno e o Payback Descontado. Por fim, verificou-se a viabilidade do sistema em residências, e que, à medida que os valores de tarifas elétricas aumentam, o sistema torna-se cada vez mais viável.
Marketing Digital: um estudo de caso em uma microempresa do setor varejista de Almenara/MG
Authors: Dias da Silva Isadora , Ribeiro da Cruz Claudenilson , Alves Pelogio Emanuelly
Published: October 2021

Devido às facilidades oferecidas pelas mídias sociais atualmente, elas estão sendo cada vez mais usadas pelas organizações no Brasil como um meio de melhoria na comunicação com o cliente. Especialmente por se tratar de um meio tão acessível, já que a internet disponibiliza diversas ferramentas úteis e com baixo custo, esse fenômeno é ainda mais observável quando se fala em micro e pequenas empresas. Em razão disso, o presente trabalho teve como objetivo compreender como o marketing digital melhora a comunicação e as relações com o mercado em microempresas, tendo como base de estudo uma loja de roupas em Almenara/MG. Para isso foi realizado um estudo de caso por meio de uma entrevista aplicada à gestora da empresa. Após a análise dos dados obtidos foi possível perceber que a empresa já aderiu ao uso das mídias sociais desde sua fundação em 2018, fazendo uso, principalmente, das redes sociais, pois reconhece sua importância. Com isso foi possível concluir que o marketing digital pode trazer benefícios para a comunicação entre microempresas e clientes , dentro de seus limites financeiros.