bluuebunny/crossref_metadata_2025 huggingface dataset:
Formative Reading Assessments of Running Records and Miscue Analysis
Authors: Wang Yang , Compton-Lilly Catherine , Sánchez Lenny
Published: October 2019

This book chapter takes a close look at two well-known reading assessments – running records and miscue analysis - that are often not put in conversation with the other when evaluating a reader's process. In order to explore what happens when using these assessments in tandem, we designed a single student case study involving a fifth grade girl and eight sessions of interviews, running records and miscue analysis. Our findings highlight selected themes that emerged from the analyses to reveal patterns the reader used across the sessions and showcase different aspects of the reader's reading processes from the perspectives of both assessments. We argue that understanding the theoretical and empirical contributions of both reading assessments contributes to the development of teacher expertise about readers and their reading processes.
Influence of Cyber and Workplace Bullying Towards Employee Negative Emotions the Moderating Role of Gender
Authors: Rajalakshmi M , Naresh B
Published: October 2019

The main aim of this study is to understand the bullying behavior and its impact towards negative emotions among IT employees. There are two factors in bullying, workplace bullying and cyber bullying, which have an influence on emotional and social loneliness, depression, anxiety, stress and suicide (negative emotions) with moderating role of gender. The study is based on descriptive research design and non-probability purposive sampling methods which have been adopted for data collection. Items are adopted from various scales to measure workplace bullying and cyber bullying and its influence on negative emotions with a moderating role of gender. Findings: The findings of the study describes that negative emotions of employees are being influenced by bullying behavior. The result denotes that emotional and social loneliness is being affected due to cyber bullying and employee stress and depression level is being affected by workplace bullying.
The Role of Leaders in Facilitating Healing After Organizational Trauma
Authors: Byrd-Poller Lynda , Farmer Jennifer L. , Ford Valerie
Published: October 2019

Effective 21st century organizations build cultures that adapt to an unpredictable and changing environment. However, organizational change can be traumatic. This chapter endeavors to make a contribution to knowledge about organizational trauma and leader behaviors - specifically what leaders can do when there are signs of trauma in the organization due to organizational change. Trauma is a psychosocial response to a perceived or actual event beyond one's control that results in personal feelings of overwhelming helplessness. Moreover, this chapter will examine how leader behaviors influence employee engagement and professional identity. The chapter provides background information about employee engagement in general and its positioning inside a broader framework called work-related well-being. The authors also link professional identity to the trauma of organizational change.
The Stress Profile
Authors: Jerabek Ilona , Muoio Deborah
Published: October 2019

The purpose of this chapter is to provide an overview of the interrelationship between personal characteristics, such as resilience, emotional intelligence, and optimism, and the ability to cope with occupational stress and organizational trauma. Although the availability of stress management resources can offer some pre-emptive measures to reduce the mental, physical, and organizational impact of trauma, this is but part of the prevention equation. The role of the individual, and the person's character in particular, is of paramount importance, as it can also offset and even deter the impact of trauma, and the effects of stress in general. Even in situations where individuals are exposed to the same type of stressor and same degree of pressure, the ability to cope can vary a great deal from person to person. The proposal of the authors is that the nurturing of specific personality traits, attitudes, and behaviors can prove beneficial both on an individual and organizational level.
Stress Management to Enhance Teaching Quality and Teaching Effectiveness
Authors: Hartney Elizabeth
Published: October 2019

Teaching has been identified as one of the most stressful professions, with a high attrition rate resulting from teacher stress and burnout. This chapter addresses the problem of how to enhance teaching quality and effectiveness by providing teachers with professional development in stress management, specific to the stressors of teaching. Existing research has clearly identified the key stressors for teachers, and evidence-based stress management approaches have been shown to be effective in mitigating teacher stress and improving teaching quality. However, there is little evidence that such professional development approaches have become integrated into the teacher training or continuing professional development curricula for teachers. Consequently, the aim of this chapter is to provide an overview of how teaching quality can be improved with a professional development framework of targeted approaches in stress management, which are aligned with the needs of individual teachers and whole schools.
Experienced Stress and the Value of Rest Stops in the Transportation Field
Authors: Pietiläinen Ville , Salmi Ilkka , Rusko Rauno , Jänkälä Raimo
Published: October 2019

Work-related stress has been a long-term research focus in the field of industrial-organizational (I-O) psychology. Transportation is marginal, but an interesting context for the study as the field contains many specific characteristics related to stress phenomena. This chapter investigates the contents of and connection between work-related stress and rest stops' value in the transportation field, specifically in a lightly settled area with long geographic distances. Professional truck drivers in Finland serve as the target group for this study. The working conditions of truck drivers are unique compared to other branches where the work is not so mobile. In addition to how the truck is equipped, the services and facilities at rest stops are important elements in wellbeing. Based on the qualitative content analysis, this study offers in-depth information concerning work-related stress as an experienced phenomenon in the transportation field. Work management and legislation are highlighted as primary results while a dangerous work environment as well as isolation and loneliness are listed as secondary research results associated with work-related stress and the value of rest stops. Recommendations for future research and practical implications are proposed.
Health and Wellness Programming
Authors: Kelly Jennifer , Hoban Jack E.
Published: October 2019

The health and wellbeing of our police community has rightfully become a top priority to ensure the viability of this critically important workforce. This chapter defines officer wellbeing, identifies stressors inherent in policing, and explores the impact of stress upon police officers. The potential contributions of an ethical mindset to officer wellbeing are considered, including the concept of the officer as Ethical Protector. Important elements of health and wellness programs are reviewed, with an emphasis on developing resources that support police officers' physical, mental, emotional, and social wellbeing. Police agencies are encouraged to draw from model programs and national guidelines to develop sustainable, cost-effective health and wellness programs. Such efforts are likely to fit local needs, foster positive community relations, and support police officer resiliency.
Archaeology and Contemporary Society
Authors: Gras Michel , Malnati Luigi
Published: October 2019

Two eminent archaeologists write, according to each of their own experiences and opinions, an annotated history of archaeology, and its relationship with society and in the development of its own concept. Both of the authors have performed high public duties in research institutes or institutional bodies which has given them a privileged point of observation on dynamics in recent decades. Finding their texts side by side in this chapter, the reader can easily form personal ideas on what is archaeology, what it has been, and how it evolved to its current situation. The authors lead the reader along two paths in the discipline and give light to scientific positions and thoughts, in some cases with a taste of polemics.
Public Archaeology, Archaeology and the Public
Authors: Papadopoulos Jeannette , Anzalone Rosario Maria
Published: October 2019

Public archaeology is a flexible notion with several meanings: public engagement in protecting archaeological heritage, public interest in the results of research, and archaeology as a public service offered by qualified staff. Such a broad range of purposes and approaches involves various professionals and includes new disciplines supporting archaeology and advertising its achievements. Archaeology in Italy has always been public, since 1909 laws establish that underground and underwater finds are State property. The Italian Constitution also includes protection of landscape and cultural heritage among its fundamental principles. Nevertheless, public property of archaeological heritage seems no longer sufficient to make the communities feel as legitimate owner and involve them in archaeological enhancement projects. The increase of protection and promotion activities, the rise of mass tourism, and the evolution of communication strategies are forcing archaeology to face new challenges. In order to be roundly public, archaeology should not lose of sight its present-day public.
The Archaeological Museums
Authors: Pizzardi Aida Pagliacci
Published: October 2019

In archaeological museums, people and communities find the signs and expressions of their own history, with a strong connection with the ethno-anthropological sphere. The areas and archaeological parks, then, are just pieces of landscape-made outdoor museums. The chapter analyzes the situation of museums, areas, and archaeological parks, especially in Italy, and outlines an educational profile with the reading key of identity. Archaeology can make the concept dangerous, because incorrect interpretations of the teaching coming from the finds can cause a misunderstood sense of ethnic identity leading to exclusive behaviors. Instead, the chapter proposes to work on self-identity, with the museum helping the person to become a member of an inclusive community.
Digital Transformation and Archaeology
Authors: Venditti Caterina Paola , Mele Paolo
Published: October 2019

In the era of digital archaeology, the communication of archaeological data/contexts/work can be enhanced by Cloud computing, AI, and other emergent technologies. The authors explore the most recent and efficient examples, ranging from some intrinsic properties of AI, i.e. capabilities of sense, comprehend and act, and looking at their application in communication both among specialists of the archaeological sector and from them to other recipients. The chapter will also provide a high-level overview of knowledge extraction solutions from tons of structured and unstructured data, to make it available through software applications that perform automated tasks. Archaeologists must be ready to go down in trenches and communicate their studies with a deep consciousness of chances given by these technologies, and with adequate skills to master them.
Value Creation, Innovation, and Entrepreneurship
Authors: Galindo-Martín Miguel-Angel , Méndez-Picazo María-Teresa
Published: October 2019

The literature has traditionally focused on the relationship between innovation and entrepreneurial activity, adopting mainly two perspectives when addressing entrepreneurship: empirical studies focusing on the behaviour of companies, and studies that consider entrepreneurship as a factor promoting the achievement of economic policy objectives. Following Schumpeter, innovation is a key source of value creation, generating growth in companies and the economy as a whole. But it is also important to remember the feedback effects generated in this process. This chapter analyses the relationship among three variables: entrepreneurship, innovation, and value creation, as well as the subsequent feedback effects. The theoretical aspects are considered and an empirical analysis is developed for the case of some European countries.
Innovation and Knowledge in Academia
Authors: Rey-Martí Andrea , Martínez-Climent Carla , Rodríguez-García María
Published: October 2019

It has recently become very popular among academics to study the process of knowledge transfer within their own organization, with the aim of improving their innovation and performance on a general scope. Knowledge can be divided into two main groups: “explicit” and “tacit” knowledge. The main interest lies in tacit knowledge, since it is one that includes the specific “know-how” of an organization. The cooperation between the different units of an organization promotes the transfer of knowledge between the different organizational areas and positions the departments in an ideal situation to promote innovation. To understand the evolution of the scientific production in terms of innovation and knowledge up until now, the authors conducted a bibliometric analysis of research on this topic collected on the Web of Science. The results show a growing interest in the relationship of both topics due to the fact that the number of publications is an upward trend.
Open Innovation as a Business Entrepreneurship Strategy
Authors: Gomez-Borja Miguel Angel , Lorenzo-Romero Carlota , del-Pozo Ruiz Leticia
Published: October 2019

The relationship established through online channels between customers and organizations defines a new and challenging scenario. Within a digital environment and through innovation strategies based on joint participation, it is possible to interact with the customer in a more personalized way with more differentiating actions. To identify the relevance of current online business management actions, this chapter proposes an approximation to the term open innovation. Authors posit the growing relevance for organizations of the application of innovation strategies through external inputs, the interaction between various agents and crowdsourcing actions. They discuss the new role of the consumers as co-creating agents of value in the new ecosystems of entrepreneurship.
Value Propositions for Companies in Their Payment Ads in Networks
Authors: Pastrana Rafa Marín
Published: October 2019

The maturity of social networks as part of the daily life of consumers has caused both large companies and all enterprises to try to take advantage of the potential they have to reach their audiences and clienteles with relatively low advertising budgets. However, many of them still do not assimilate the functioning of these new media and use them as a simple promotional tool. The reduction of the organic scope, the stagnation of Facebook, the crisis of credibility, and the evolution of the networks themselves towards smaller communities, as happened at the beginning, complete a panorama that hinders the objective of maximizing profits and ensuring a ROI in line . How should this challenge be faced when the internet is displacing television as the main advertising investment support worldwide? Personalization and content marketing, customer service, and preference for quality and engagement are the main answers.
Educational Data Mining
Authors: Kandara Osman , Kennedy Eugene
Published: October 2019

This chapter presents a comprehensive discussion of educational data mining and its potential for educational research. The origins of data mining and the emergence of educational data mining are discussed. The variety of data generated in education (e.g., text, speech, performance, etc.) are described and the challenges of mining these data for useful information are identified. Techniques for mining these data are discussed. Software used to mine these data are noted and issues of theory and ethics are considered. Examples from published literature are cited throughout the chapter and recommendations for educational researchers are offered.
Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram
Authors: N. Raghu
Published: October 2019

An electrocardiogram (ECG) is used as one of the important diagnostic tools for the detection of the health of a heart. An automatic heart abnormality identification methods sense numerous abnormalities or arrhythmia and decrease the physician's pressure as well as share their workload. In ECG analysis, the main focus is to enhance degree of accuracy and include a number of heart diseases that can be classified. In this chapter, arrhythmia classification is proposed using hybrid features of T-wave in ECG. The classification system consists of majorly three phases, windowing technique, feature extraction, and classification. This classifier categorizes the normal and abnormal signals efficiently. The experimental analysis showed that the hybrid features arrhythmia classification performance of accuracy approximately 98.3%, specificity 98.0%, and sensitivity 98.6% using MIT-BIH database.
Dimensionality Reduction With Multi-Fold Deep Denoising Autoencoder
Authors: V. Pattabiraman , R. Parvathi
Published: October 2019

Natural data erupting directly out of various data sources, such as text, image, video, audio, and sensor data, comes with an inherent property of having very large dimensions or features of the data. While these features add richness and perspectives to the data, due to sparsity associated with them, it adds to the computational complexity while learning, unable to visualize and interpret them, thus requiring large scale computational power to make insights out of it. This is famously called “curse of dimensionality.” This chapter discusses the methods by which curse of dimensionality is cured using conventional methods and analyzes its performance for given complex datasets. It also discusses the advantages of nonlinear methods over linear methods and neural networks, which could be a better approach when compared to other nonlinear methods. It also discusses future research areas such as application of deep learning techniques, which can be applied as a cure for this curse.
Review on Particle Swarm Optimization Approach for Optimizing Wellbore Trajectory
Authors: Biswas Kallol , Vasant Pandian M. , Laruccia Moacyr Batholomeu , Gámez Vintaned José Antonio , Myint Myo M.
Published: October 2019

Due to a variety of possible good types and so many complex drilling variables and constraints, optimization of the trajectory of a complex wellbore is very challenging. There are several types of wells, such as directional wells, horizontal wells, redrilling wells, complex structure wells, cluster wells, and extended reach wells. This reduction of the wellbore length helps to establish cost-effective approaches that can be utilized to resolve a group of complex trajectory optimization challenges. For efficient performance (i.e., quickly locating global optima while taking the smallest amount of computational time), we have to identify flexible control parameters. This research will try to develop a review of the various (particle swarm optimization) PSO algorithm used to optimize deviated wellbore trajectories. This chapter helps to find out optimal wellbore trajectory optimization algorithms that can close the technology gap by giving a useful method. This method can generate a solution automatically.
Residual Life Estimation of Humidity Sensor DHT11 Using Artificial Neural Networks
Authors: Sharma Pardeep Kumar , Bhargava Cherry
Published: October 2019

Electronic systems have become an integral part of our daily lives. From toy to radar, system is dependent on electronics. The health conditions of humidity sensor need to be monitored regularly. Temperature can be taken as a quality parameter for electronics systems, which work under variable conditions. Using various environmental testing techniques, the performance of DHT11 has been analysed. The failure of humidity sensor has been detected using accelerated life testing, and an expert system is modelled using various artificial intelligence techniques (i.e., Artificial Neural Network, Fuzzy Inference System, and Adaptive Neuro-Fuzzy Inference System). A comparison has been made between the response of actual and prediction techniques, which enable us to choose the best technique on the basis of minimum error and maximum accuracy. ANFIS is proven to be the best technique with minimum error for developing intelligent models.
Modelling Analysis and Simulation for Reliability Prediction for Thermal Power System
Authors: Kamboj Vikram Kumar , Sandhu Kamalpreet , Chatterjee Shamik
Published: October 2019

The size of the power system is growing exponentially due to heavy demand of power in all the sectors (e.g., agricultural, industrial, and commercial). Due to this, the chance of failure of individual units leading to practical or complete collapse of power supply is common to be encountered. The reliability of power system is therefore the most important feature to be maintained above some acceptable threshold value. Furthermore, the maintenance of individual units can also be planned and implemented once the level of reliability for given instant of time is known. The proposed research therefore aims at determining the threshold reliability of generation system. The generation system consists of boiler, water, blade angle in turbine, shaft coupling, excitation system, generator winding, circuit breaker, and relay. This chapter presents the mathematical model of reliability of individual components and equivalent reliability of the entire generation system. It suggests the approach to determine the critical reliability of both individual and equivalent reliability of the generation system.
Systematic Review as a Research Method in Library and Information Science
Authors: Komba Mercy Mlay , Lwoga Edda Tandi
Published: October 2019

The aim of this chapter is to assess the current state of application of systematic reviews (SRs) in library and information science (LIS) field and determine how information scientists can advance the SRs as a methodology. The literature shows that there is an increasing number of SRs in LIS although there are still knowledge gaps about the use of SRs as a methodology. The quality of reporting in primary studies in LIS is still poor, and hence, it becomes difficult to appraise the value of the study undertaken. In order to advance the use of SRs in LIS domain, it is important to introduce SRs in LIS education curricular, integrate SRs as part of the continuing scientist development programmes (CPD), use automated SR software to minimize workload, introduce SRs a formal role and service in the libraries, collaborate with research teams as co-authors to conduct SRs not only in the topics defined by research teams, but also in LIS topics, and create SR databases and tools in LIS.
The Use of Grounded Theory in Researching Information Centres
Authors: Chaterera-Zambuko Forget
Published: October 2019

This chapter challenges information management researchers to employ the grounded theory research approach as it is detailed, rigorous, systematic, and flexible. The approach also permits researchers to go beyond the conventional thinking by allowing the emergence of new conceptual models, theories, and framework(s) on the subject under investigation. The chapter provides a discourse on the key features of grounded theory and the two fundamental schools of grounded theory. The overall aim of the chapter is to explain the applicability and rationale of grounded theory in researching information centres. As such, the chapter discusses the perceived challenges of using grounded theory, debates the place of literature in a grounded theory study, and explores the issues of research population, sampling, and sample size in a grounded theory research. Other essential aspects discussed in the chapter are the concepts of credibility, transferability, dependability, and confirmability. The chapter also demonstrates how data in a grounded theory study should be analysed and processed.
Using Grounded Theory to Develop a Framework for an Information Society in Southern Africa
Authors: Sehlapelo Martin Collin Abner Mmapeteke
Published: October 2019

Grounded theory has not been widely used in the information sciences, despite it being one of the methods or designs employed for generating theories in the humanities and social sciences. However, with the increase in research that aims to generate information science theories, more researchers and students are exploring the use of grounded theory methods to conduct their studies. This chapter intends to simplify the conceptualisation and application of grounded theory methods for research within the information sciences. It discusses its origins, philosophical groundings and assumptions, as well as its methodological approaches. The chapter describes the foundations of the grounded theory methods providing some insights into some of the methodological approaches through an example study that constructed a theoretical framework for building information societies for development in Southern Africa. This chapter enhances the example with the practical lessons that the author learned in the conduct of the study.
Understanding Traditional Healing Practices in the Limpopo Province of South Africa
Authors: Maluleka Jan Resenga
Published: October 2019

Phenomenology affords indigenous knowledge researchers the perfect opportunity to understand the lived experiences of indigenous communities from the participants' perspectives. Various studies have shown that indigenous knowledge is currently facing extinction. As a result, information professionals should play a leading role in recording and preserving it. Phenomenology helps indigenous knowledge systems (IKS) scholars to obtain knowledge from marginalised groups and record it without any influences as a result of prior knowledge or personal worldviews. This study demonstrates how phenomenology was applied to understand traditional healing practices in the Limpopo Province of South Africa and, furthermore, illustrates how phenomenology can be employed by information professionals as a qualitative method to conduct indigenous knowledge (IK) research.
(Re)Considering Information Science Research
Authors: Romm Norma Ruth Arlene , Ngulube Patrick
Published: October 2019

This chapter provides an epistemological and ethical justification for (re)considering information science in terms of its potential to contribute to the way in which “information” and “knowledge” become co-constructed in social life in view of social justice aims. The chapter refers to and extends arguments for viewing information science as an interdisciplinary and indeed transdisciplinary endeavor. This is discussed in relation to transformative and indigenous-oriented paradigms for social research considered more generally and also considered specifically in relation to information science (as a social scientific approach). The chapter provides a detailed example of how the transformative potential of information science might be realized. This example can serve as a resource for information science researchers and for information systems practitioners who may find that it has some relevance to their continued work. The chapter also offers suggestions for expanding the research possibilities (co-inquiry options) provided by the example.
Whose Truth Is True?
Authors: Ngoepe Mpho
Published: October 2019

African societies use memory to store valuable historical information. This memory is passed from generation to generation through oral history. This method uses oral testimony, oral tradition, and, to some extent, archival sources for evidence. This memory is in danger of being obliterated as the historical truth is not directly accessible, or, in some instances, the truth can be distorted to suit the griot. While traditional archival principles such as archival diplomatics are used to authenticate records, oral history is often characterised by deliberate distortion of facts. This chapter explores the use of archival principles to authenticate oral history. It was established that some elements of archival principles can be used to authenticate oral history. Written records and oral history can complement each other to provide the ‘whole truth'. It is concluded that oral history fits the description of a record. The griot is no different from any medium of a record and is as reliable as any other medium.
Research Methodologies Used in Library and Information Studies Masters' Degree Dissertations at the University of Botswana
Authors: Mosweu Olefhile , Mosweu Tshepho
Published: October 2019

Although universities have different models for their Master's degrees, most programmes consists of course-work and research-based components. The Master's degree of the University of Botswana's (UB) Department of Library and Information Studies requires students to carry out research and write a dissertation in the final year. Research methodology is an integral component of research, including in postgraduate research. Using the descriptive content analysis technique from a census of dissertations, this chapter examines the Master's dissertations submitted in the field of library and information studies at UB between 2008 and 2018 in order to determine the trends in the research methodologies used. The findings of the study showed that although DLIS Master's degree dissertations generally conformed to globally accepted research methods in humanities; most of them did not specify the research philosophy adopted for the studies. This study found that the most dominant research approach was combined qualitative and quantitative approaches.
Guide for Postgraduate Student Research and Publications
Authors: Chukwuere Joshua Ebere , Chukwuere Precious Chibuike
Published: October 2019

Academic research writing (manuscript writing) involves many shortcomings and challenges, but the process is systematically structured. Overcoming these challenges should involve proper adherence to steps and processes when carrying out academic studies. These challenges are a continuous worry for beginners and emerging researchers. Also, the components that constitute academic writing and its structure are continuously debated by scholars globally, especially for beginners and emerging researchers. The purpose of this chapter is to provide guidelines and steps that can assist researchers (beginners) to write manuscripts that meet the requirements of journal editorial boards, their audiences, as well as theses/dissertations for academic institution requirements and expectations of examiners. To achieve the purpose of this chapter, various vital variables and constructs were explained in clear and understandable terms in line with literature review of precious studies. The constructed ideas make the chapter useful for beginners who are writing manuscripts, theses, and dissertations.
A Study in Image Creation Techniques in the Context of Visual Literacy
Authors: Bolat Nursel
Published: October 2019

While the visual means visually based on vision, everything that can be seen with the broadest meaning is defined. In order to understand what is happening in nature, seeing is quite important and is familiar with the idea of seeing the leaps of thoughts in understanding the assets. However, the idea of visualization is taken by the eye as well as their meaning by the brain. It, therefore, includes the process of acquiring a lot of information on the basis of what is seen next to the sight. In the process of brain processing of images taken by the eye, the process of meaningful or related meaning in connection with education is also leading to the concept of visual literacy. The concept of visual literacy leads to visual narrative, visual culture, and technical narrative in the process of reading this visual culture. In the process of visual communication, the technical elements of the cinema, which are used in the formation of visual elements, are also used to solve the flow of information between the eye and the brain.
Media Business Literacy in the Digital Age
Authors: Tari Inci
Published: October 2019

The digital age is changing everything forever. Media is changing in many ways ranging from the way people screen it to the way it is operated as a business. Profitable mainstream media of yesterday is struggling to survive against disruptive innovation brought by new technologies and being challenged by giant technology companies such as Google and Facebook, which are forming a duopoly, especially in terms of digital advertising revenues. These conditions are forcing media managers to be more literate than ever. Although there is a definition for media literacy and business literacy, there is no definition for media business literacy yet. This study will try to make a definition of media business literacy, which should involve stakeholders, markets, products, customers, competitors, financial terminology, and financial statements. After this broad definition, the rest of the chapter will focus on the changing media industry structure providing an insight on some financial and numerical information that needs to be understood by everyone interested in media business.
Mobile Technology and Social Media Literacy
Authors: Ilter A.Tolga , Karacar Pelin
Published: October 2019

Advancing information and communication technologies (ICT) are reshaping our daily lives. Mobile communication devices, especially the introduction of smartphones, changed the way we communicate both professionally and socially. Mobile technologies are spreading our daily lives with the help of social media applications. Implementation of social networks to the education programs may encourage students to reach information, share their work, get feedback more easily, and produce content that will build up their portfolios and professional identities for their future career. However, in order to achieve such a goal, it is quite important to understand their behavioural patterns on social networks and mobile technology use. In this context, this research tries to explore architecture and interior architecture students' social network patterns under the social media literacy framework.
Reading the Television Broadcasts on Sports
Authors: Sirer Esennur
Published: October 2019

Sports constitute the locomotive side of the media. Sometimes a success in sport finds its place in various organs of the media; sometimes a derby challenge keeps the media's agenda busy for days. Sport is an important component that attracts people and holds society together. Individuals experience the practices of social life through sport. Sports are also supported by the media because they provide socialization in societies, leaving a wide range of places. One of the most important media organs in which sports are widely located is television. Sports, with the development of television, adapted to television discourse has taken place in our lives. As a product of popular culture, it is spread and formed from television. Television gives the game more drama. Live transfer of the game adds the audience to the game and increases its drama. The audience watches the show prepared for him in his comfortable couch at home with different camera techniques and colorful narration of the presenters.
Glycogen Synthase Kinase 3β Regulates Antiviral Responses of TLR3 via TRAF2–Src Axis
Authors: Ko Ryeojin , Park Hana , Lee Nawon , Seo Jeongin , Jeong Woojin , Lee Soo Young
Published: October 2019

The protein tyrosine kinase Src regulates the synthesis of TLR3-mediated IFN-β via the TBK1–IFN regulatory factor 3 axis. However, the molecular mechanisms regulating Src activity in TLR3 signaling remain unclear. In this study, we report that GSK3β regulates Src phosphorylation via TNFR-associated factor 2 (TRAF2)–mediated Src ubiquitination. GSK3β deficiency in mouse embryonic fibroblasts significantly reduces polyinosinic:polycytidylic acid–induced IFN-β and IFN-stimulated gene expression, which is caused by diminished phosphorylation of Src at tyrosine 416. Src undergoes polyinosinic:polycytidylic acid–dependent lysine 63 chain ubiquitination, and TRAF2 is a direct E3 ligase for Src. Our study reveals novel mechanisms underlying TLR3-mediated antiviral responses mediated via the GSK3β–TRAF2–Src axis.
King-Devick Test Reliability in National Collegiate Athletic Association Athletes: A National Collegiate Athletic Association–Department of Defense Concussion Assessment, Research and Education Report
Authors: Breedlove Katherine M. , Ortega Justus D. , Kaminski Thomas W. , Harmon Kimberly G. , Schmidt Julianne D. , Kontos Anthony P. , Clugston James R. , Chrisman Sara P. D. , McCrea Michael A. , McAllister Thomas W. , Broglio Steven P. , Buckley Thomas A.
Published: October 2019

Context

The King-Devick (KD) test has received considerable attention in the literature as an emerging concussion assessment. However, important test psychometric properties remain to be addressed in large-scale independent studies.

Objective

To assess (1) test-retest reliability between trials, (2) test-retest reliability between years 1 and 2, and (3) reliability of the 2 administration modes.

Design

Cross-sectional study.

Setting

Collegiate athletic training facilities.

Patients or Other Participants

A total of 3248 intercollegiate student-athletes participated in year 1 (male = 55.3%, age = 20.2 ± 2.3 years, height = 1.78 ± 0.11 m, weight = 80.7 ± 21.0 kg) and 833 participated in both years.

Main Outcome Measure(s)

Time, in seconds, to complete the KD error free. The KD test reliability was assessed between trials and between annual tests over 2 years and stratified by test modality (spiral-bound cards [n = 566] and tablet [n = 264]).

Results

The KD test was reliable between trials (trial 1 = 43.2 ± 8.3 seconds, trial 2 = 40.8 ± 7.8 seconds; intraclass correlation coefficient [ICC] (2,1) = 0.888, P < .001), between years (year 1 = 40.8 ± 7.4 seconds, year 2 = 38.7 ± 7.7 seconds; ICC [2,1] = 0.827, P < .001), and for both spiral-bound cards (ICC [2,1] = 0.834, P < .001) and tablets (ICC [2,1] = 0.827, P < .001). The mean change between trials for a single test was −2.4 ± 3.8 seconds. Although most athletes improved from year 1 to year 2, 27.1% (226 of 883) of participants demonstrated worse (slower) KD times (3.2 ± 3.9 seconds) in year 2.

Conclusions

The KD test was reliable between trials and years and when stratified by modality. A small improvement of 2 seconds was identified with annual retesting, likely due to a practice effect; however, 27% of athletes displayed slowed performance from year 1 to year 2. These results suggest that the KD assessment was a reliable test with modest learning effects over time and that the assessment modality did not adversely affect baseline reliability.
Multifactor colorimetric analysis on pH-indicator papers: an optimized approach for direct determination of ambient aerosol pH
Authors: Li Guo , Su Hang , Ma Nan , Zheng Guangjie , Kuhn Uwe , Li Meng , Klimach Thomas , Pöschl Ulrich , Cheng Yafang
Published: October 2019

Abstract. Direct measurement of the acidity (pH) of ambient aerosol particles/droplets has long been a challenge for atmospheric scientists. A novel and facile method was introduced recently by Craig et al. (2018), where the pH of size-resolved aerosol droplets was directly measured by two types of pH-indicator papers (pH ranges: 0–2.5 and 2.5–4.5) combined with RGB-based colorimetric analyses using a model of G − B (G minus B) versus pH2. Given the wide pH range of ambient aerosols, we optimize the RGB-based colorimetric analysis on pH papers with a wider detection range (pH ~ 0 to 6). Here, we propose a new model to establish the linear relationship between RGB values and pH: pHpredict = a × Rnormal + b × Gnormal + c × Bnormal. This model shows a wider applicability and higher accuracy than those in previous studies, and is thus recommended in future RGB-based colorimetric analyses on pH papers. Moreover, we identify one type of pH paper (Hydrion® Brilliant pH dip stiks, Lot Nr. 3110, Sigma-Aldrich) that is more applicable for ambient aerosols in terms of its wide pH detection range (0 to 6) and strong anti-interference capacity. The determined minimum sample mass (~ 180 μg) highlights its potential to predict aerosol pH with a high time resolution (e.g., ≤ 1 hour). We further show that the routinely adopted way of using pH color charts to predict aerosol pH may be biased by the mismatch between the standard colors on the color charts and the real colors of investigated samples. Thus, instead of using the producer-provided color chart, we suggest an in-situ calibration of pH papers with standard pH buffers.
Scars in the Abyss: Reconstructing sequence, location and temporal change of the 78 plough tracks of the 1989 DISCOL deep sea disturbance experiment in the Peru Basin
Authors: Gausepohl Florian , Hennke Anne , Schoening Timm , Köser Kevin , Greinert Jens
Published: October 2019

Abstract. High-resolution optical and hydroacoustic seafloor data acquired in 2015 enabled the reconstruction of disturbance tracks of a past Benthic Impact Experiment that was conducted in 1989 in the Peru Basin in the course of former German environmental impact studies associated with manganese nodule mining. Based on this information, the disturbance level of the experiment regarding the plough impact and distribution and re-deposition of sediment from the evolving sediment plume was assessed qualitatively. Through this, the evolution over the 26 years of a number of the total 78 disturbance tracks could be analyzed which highlights the considerable difference between natural sedimentation in the deep-sea and sedimentation of a resettled sediment plume. Such plumes are seen as one of the most concerning impact associated with potential Mn-nodule mining. Problems in data processing became eminent while dealing with old data from the late 80s, at a time when GPS was just invented and underwater navigation was in an infant stage. However, even today the uncertainties of underwater navigation and the use of a variety of acoustical and optical sensors at different resolutions require detailed post-processing in terms of absolute geographic positioning to improve the overall accuracy of the data. In this study, a ship-based bathymetric map of the survey area was used as absolute geographic reference and a workflow was applied successfully resulting in the most accurate geo-referenced dataset of the DISCOL Experimental Area to date. The new field data were acquired with sensors attached to GEOMARs AUV Abyss and the 0.5 × 1° EM122 multibeam system of RV SONNE during cruise SO242 -1 while the old data first needed to be found and compiled before they could be digitized and properly georeferenced for the presented joined analyses.
Invited perspectives:
How machine learning will change flood risk and impact assessment
Authors: Wagenaar Dennis , Curran Alex , Balbi Mariano , Bhardwaj Alok , Soden Robert , Hartato Emir , Mestav Sarica Gizem , Ruangpan Laddaporn , Molinario Giuseppe , Lallemant David
Published: October 2019

Abstract. Increasing amounts of data, together with more computing power and better machine learning algorithms to analyse the data are causing changes in almost every aspect of our lives. This trend is expected to continue as more data becomes available, computing power increases and machine learning algorithms improve. Flood risk and impact assessments are also being influenced by this trend, particularly in areas such as the development of mitigation measures, emergency response preparation, and flood recovery planning. Machine learning methods have the potential to improve accuracy as well as reduce calculating time and model development cost. It is expected that in the future more applications become feasible and many process models and traditional observation methods will be replaced by machine learning. Examples of this include the use of machine learning on remote sensing data to estimate exposure or on social media data to improve flood response. Some improvements may require new data collection efforts, such as for the modelling of flood damages or defence failures. In other fields, machine learning may not be suitable or should be applied complementary to process models, for example in hydrodynamic applications. Overall, machine learning is likely to drastically improve future flood risk and impact assessments, but issues such as applicability, bias and ethics must be considered carefully. This paper presents some of the current developments on the application of machine learning for flood risk and impact assessment, and highlights some key needs and challenges.
Data-driven versus self-similar parameterizations for Stochastic Advection by Lie Transport and Location Uncertainty
Authors: Resseguier Valentin , Pan Wei , Fox-Kemper Baylor
Published: October 2019

Abstract. Stochastic subgrid parameterizations enable ensemble forecasts of fluid dynamics systems and ultimately accurate data assimilation. Stochastic Advection by Lie Transport (SALT) and models under Location Uncertainty (LU) are recent and similar physically-based stochastic schemes. SALT dynamics conserve helicity whereas LU models conserve kinetic energy. After highlighting general similarities between LU and SALT frameworks, this paper focuses on their common challenge: the parameterization choice. We compare uncertainty quantification skills of a stationary heterogeneous data-driven parameterization and a non-stationary homogeneous self-similar parameterization. For stationary, homogeneous Surface Quasi-Geostrophic (SQG) turbulence, both parameterizations lead to high quality ensemble forecasts. This paper also discusses a heterogeneous adaptation of the homogeneous parameterization targeted at better simulation of strong straight buoyancy fronts.
Stage Review of Arden Theatre’s Production of Gem of the Ocean
Authors: Bonds Ellen
Published: October 2019

A review of the Gem of the Ocean by August Wilson, staged at Arden Theatre in Philadelphia, Pennsylvania from February 28 through March 31, 2019.
Investigation of the process of production of crafted beer with spicy and aromatic raw materials
Authors: Zheplinska Marija , Mushtruk Mikhailo , Vasyliv Volodymyr , Deviatko Olena
Published: October 2019

This scientific work demonstrates the stages of the process of inspiring the spicy aromatic raw materials of Badian, which is added to the craft beer in the process of its digestion. In addition, the work shows an analysis of the composition of spicy aromatic raw materials which will be used as an additive. The research proves the rational quantity and concentration of alcoholic spiro-aromatic raw materials for beer and determines the effect of alcoholic spiro-aromatic raw materials on beer indices. We have clarified the organoleptic and physicochemical parameters of beer with spicy aromatic raw materials Badian and composition based on infusions of Badian and cinnamon. As a result, we received water-alcohol infusions of spicy aromatic raw materials and developed new types of beer on their basis. On the basis of the conducted studies, the regression equation of the dependence of the content of actual dry substances and the volumetric fraction of alcohol from the change in the amount of spray-aromatic raw material and alcohol concentration in the alcohol-alcoholic infusion of spin-aromatic raw materials was obtained. In addition, we conducted calculations on the cost-effectiveness of adding these types of spiced aromatic raw materials to beer.