bluuebunny/crossref_metadata_2025 huggingface dataset:
Algumas atividades matemáticas para a educação básica no desenvolvimento de um projeto
Authors: Lopes Kelton , Frizzarini Silvia Teresinha
Published: October 2019

O objetivo desde trabalho foi despertar o interesse dos alunos pela Matemática com exemplos de diferentes abordagens matemáticas e também associa-las com expressões e fórmulas matemáticas abstratas, que muitas vezes os alunos não compreendem. A metodologia utilizada foi de cunho qualitativo com o desenvolvimento de um projeto realizado na disciplina Prática de Ensino com alunos da Educação Básica por meio de algumas atividades, para que eles pudessem refletir sobre a importância da matemática e suas diferentes formas de aplicações. Numa época em que se fala de novas formas de abordar o ensino de matemática, as atividades se apresentaram no contexto da realidade dos alunos por meio da resolução de problemas e materiais concretos. Os resultados obtidos foram as diferentes interpretações dos conteúdos matemáticos por meio das diferentes atividades matemática causando impactos positivos, muitas vezes imperceptíveis na vida escolar dos alunos. Concluímos que o desenvolvimento do projeto proporcionou aos alunos relacionar seus conhecimentos prévios para formular e resolver situações problemas com um caráter experimental que não imaginavam que poderiam ter.
Material pedagógico adaptado no ensino de química para aluno cego: uma análise em produções científicas brasileiras
Authors: Baptistone Gabriel Ferreira , Toyama Karla Suzi Furutani , Prais Jacqueline Lidiane de Souza
Published: October 2019

Este trabalho caracteriza produções científicas brasileiras que abordam o uso de materialpedagógico adaptado no ensino de Química para alunos cegos. Para tanto, emprega noprocedimento metodológico a revisão sistemática realizada no sistema de busca do Google acadêmico a partir dos termos “material adaptado”, “Química”, “Aluno cego”. A pesquisa sistematizada permitiu a análise de 11 produções científicas publicadas nos últimos dez anos contemplando os conteúdos químicos trabalhados na disciplina de Ciências no ensino fundamental, química geral e inorgânica, química orgânica, físico-química e avaliação da aprendizagem. Dentre os tipos de publicações foram encontradas teses, dissertações, trabalhos de conclusão de curso, artigos em revistas científicas e trabalhos completos em anais de evento que abordaram a elaboração de material didático adaptado. Esta revisão sistemática possibilitou conhecer aspectos do processo de aprendizagem do aluno cego considerados no momento da adaptação de recursos didáticos por meio da percepção tátil, auditiva, olfativa e pelo paladar.
Checklist of the ichthyofauna of the Rio Negro basin in the Brazilian Amazon
Authors: Beltrão Hélio , Zuanon Jansen , Ferreira Efrem
Published: October 2019

This study presents an extensive review of published and unpublished occurrence records of fish species in the Rio Negro drainage system within the Brazilian territory. The data was gathered from two main sources: 1) litterature compilations of species occurrence records, including original descriptions and revisionary studies; and 2) specimens verification at the INPA fish collection. The results reveal a rich and diversified ichthyofauna, with 1,165 species distributed in 17 orders (+ two incertae sedis), 56 families, and 389 genera. A large portion of the fish fauna (54.3% of the species) is composed of small-sized fishes < 10 cm in standard length. The main groups are Characiformes (454 species; 39.0%), Siluriformes (416; 35.7%), Gymnotiformes (105; 9.0%), and Cichliformes (102; 8.8%). The species composition differs between the main aquatic environments, such as: main channel (159 species), lakes (296), tributary rivers (596), small streams (234), seasonal beaches (186), and rapids (41). Part of the ichthyofauna is shared with adjacent basins, such as the Orinoco, rivers of the Guiana Shield, lower Solimões/Amazonas and upper Amazonas, which contributes to the remarkable ichthyofaunal diversity of the basin. A high rate of species endemism was observed in Characidae (24), Loricariidae (18), Cichlidae (18) and Callichthyidae (18), totalling 156 species (13.4%) endemic to the basin. An estimation of the species richness for the Rio Negro basin, considering 23 published references, resulted in 1,466 and 1,759 species (Jackknife 1 and 2, respectively), which seems reasonable when considering the large number of morphotypes left out of the present list and the low sampling effort in many areas of the basin. The results presented herein provide an additional tool for environmental managers and decision makers for conservation purposes of one of the richest and most well-preserved sub-basins of the Rio Amazonas system.
Morphology and phylogenetic analysis of two new deep-sea species of Chrysogorgia (Cnidaria, Octocorallia, Chrysogorgiidae) from Kocebu Guyot (Magellan seamounts) in the Pacific Ocean
Authors: Xu Yu , Li Yang , Zhan Zifeng , Xu Kuidong
Published: October 2019

Two new species ofChrysogorgiaDuchassaing & Michelotti, 1864 collected from Kocebu Guyot in the Magellan seamounts of the Pacific Ocean are described and illustrated:Chrysogorgia ramificanssp. nov.collected from a depth of 1831 m andChrysogorgia binatasp. nov.collected from a depth of 1669 m.Chrysogorgia ramificanssp. nov.belongs to theChrysogorgia“group A, Spiculosae” with rods distributed in body wall and tentacles, andC. binatasp. nov.belongs to the “group C, Squamosae typicae” with rods and/or spindles not present but only scales.Chrysogorgia ramificanssp. nov.differs from congeners by its main stem with 2/5R branching sequence at the bottom forming two large bottlebrush-shaped branches with 1/3R branching sequence at the top.Chrysogorgia binatasp. nov.is similar toC. scintillansBayer & Stefani, 1988, but differs by its larger polyps, larger sclerites in the body wall, and different scales in the upper part of polyps. The mtMutS genetic distances betweenC. ramificanssp. nov.andC. binatasp. nov.and congeners are in the range of 0.33%–2.28% and 0.33%–2.94%, respectively, while the intraspecific distances are in the range of 0–0.16%. Molecular phylogenetic analysis indicates thatC. ramificanssp. nov.is clustered withC. monticolaCairns, 2007 andC. binatasp. nov.is clustered withC. chryseisBayer & Stefani, 1988, both with high support indicating close relationships.
Documenter le système vigésimal et sa contrepartie décimale (70-80-90) en français et dans les dialectes galloromans
Authors: Avanzi Mathieu , Thibault André
Published: October 2019

Cet article étudie la concurrence historique entre les formes soixante-dix , quatre-vingt et quatre-vingt-dix (dites « vigésimales ») et septante , octante/huitante et no(i)nante (dites « décimales ») en français et en galloroman. Il remet d’abord en cause le mythe de l’archaïsme supposé des formes décimales, qui étaient en fait plutôt rares au Moyen Âge ; puis, il se penche sur la géographie et la vitalité des formes décimales en français moderne. L’aréologie de ces deux séries de cardinaux dans les dialectes est ensuite illustrée à partir des données de l’ALF et de matériaux inédits du GPSR et de l’ALW. Le portrait d’ensemble montre une domination ancienne des formes vigésimales, en français tout comme dans les parlers galloromans.
Explorer la combinatoire lexico-syntaxique des mots et expressions avec le LEXICOSCOPE
Authors: Kraif Olivier
Published: October 2019

Nous montrons dans cet article comment exploiter un corpus annoté en dépendances syntaxiques : nous chercherons à extraire des cooccurrents synthétisant la combinatoire lexico-syntaxiques des mots et aussi à travailler à un niveau plus général sur des expressions, voire des constructions, plus complexes et plus abstraites que les simples pivots lexicaux. Pour mettre en œuvre les requêtes sous-jacentes, et permettre à des utilisateurs non experts de les manipuler, nous proposons de guider l’exploration par l’analogie et de construire des requêtes sur la base d’exemples avec l’outil Lexicoscope .
The global conservative solutions for the generalized camassa-holm equation
Authors: Yang Li , Mu Chunlai , Zhou Shouming , Tu Xinyu
Published: October 2019

This paper deals with the continuation of solutions to the generalized Camassa-Holm equation with higher-order nonlinearity beyond wave breaking. By introducing new variables, we transform the generalized Camassa-Holm equation to a semi-linear system and establish the global solutions to this semi-linear system, and by returning to the original variables, we obtain the existence of global conservative solutions to the original equation. We introduce a set of auxiliary variables tailored to a given conservative solution, which satisfy a suitable semi-linear system, and show that the solution for the semi-linear system is unique. Furthermore, it is obtained that the original equation has a unique global conservative solution. By Thom's transversality lemma, we prove that piecewise smooth solutions with only generic singularities are dense in the whole solution set, which means the generic regularity.
A Team-Teaching Model in an Informal Cooperative Learning Classroom
Authors: Salim Kamilah Radin , Abdullah Morina , Haron Habibah Norehan , Hussain Noor Hamizah , Ishak Ruzana
Published: October 2019

Research has indicated that informal cooperative learning (ICL) can make the environment in a classroom more conducive for teaching and learning. Through ICL, students could focus their attention on the material taught in class and help each other in the learning process. However, implementing ICL may require more time and effort from the lecturers because they need to prepare teaching materials and different tasks for class activities. Some-times it may be difficult for the lecturer to monitor all students in the groups when implementing ICL. Thus, this study aimed to explore the im-plementation of team-teaching in ICL classroom. The action research meth-od was used in this study where the researchers themselves involve in im-plementing ICL through team-teaching, evaluate the process, do reflection and change the practice based on the evidence gathered. The participants were 32 first-year-students who were mainly exposed to the traditional method of lecture. Students and lecturers’ activities, behaviors, interac-tions, and reflections were recorded in a research journal and later analyzed to determine the students’ and lecturers’ experience in ICL classroom con-ducted through team-teaching. The findings showed that it was easier to monitor and facilitate the students as well as to manage the class by imple-menting ICL through team-teaching. In addition, the workload of the lectur-ers has reduced which in turn gave them more time to plan, prepare and or-ganize teaching materials.
Effects of Mobile Augmented Reality (MAR) towards Students’ Visualization Skills when Learning Orthographic Projection
Authors: Omar Marlissa , Ali Dayana Farzeeha , Mokhtar Mahani , Zaid Norasykin Mohd , Jambari Hanifah , Ibrahim Nor Hasniza
Published: October 2019

Recent study shows an increasing interest towards the implementation of augmented reality in teaching and learning. Majority of the studies in this area focuses on how this technology could impact students’ performance and various skills including visualization skills. Hence, the purpose of this study was to examine the differences in students’ visualization skills after utilizing Mobile Augmented Reality (MAR) and conventional learning in orthographic projection classroom. This study involved 60 students and was conducted in Universiti Teknologi Malaysia: 30 students in experimental group used MAR; 30 students in control group used conventional learning. In this study, mental rotation skills were measured using Purdue Spatial Visualization Test of Rotation (PSVT:R) due to its importance to ensure students understanding in orthographic projection. Results from this study showed a significant difference between students in both group where students in experimental group displayed a significantly higher level of visualization skills in terms of mental rotation skills compared to students in control group. At the end of their study, respondents were given a set of questionnaires to obtain their feedback on the use of MAR. Based on students’ positive feedback on MAR, the result proved that it can be an effective spatial visualization tool. MAR is also practical to be used in classrooms since it has low production cost.
Students Perception on the Level of Classroom Engagement at a Korean University
Authors: Dipasupil Shaneil R. , Lee Hyun Jung , Ham Joung-Hyun
Published: October 2019

This research aims to provide valuable information to the professors and school officials among the higher education institutions in South Korea on the level of classroom engagement among undergraduate students. Questionnaires based on the literature review were administered to 500 students at a university in South Korea. Descriptive statistics, t-test, and ANOVA were used to analyze the data gathered. It was found out that student engagement is the highest in terms of behavioral indicators. Specifically, the responses showed that asking relevant questions during the class is the most frequent way to show that the students are engaged in the classroom. Furthermore, hypotheses, as regards the variance of responses when grouped according to the demographic variables of the respondents, were tested. It was found out that student engagement did not differ significantly in terms of the gender of the participants and their grade point average while the opposite is true in terms of the year level and their department. Furthermore, the most favored engagement strategies by the students include providing the purpose of the activity and assisting the students in completing the activity. This set of information would benefit the teachers and other school officials in creating a plan of action that is geared towards promoting better classroom engagement among students. Through a higher level of engagement, not only the students are learning more effectively, but also they are taking more ownership of their learning process, all of which positively contribute to improved student outcomes.
Dans la conception des salles de régulation du SAMU, pouvoir communiquer est un enjeu de fiabilité de ses missions
Authors: Bourgeois Fabrice , Vanpoulle Christophe , Ammirati Christine
Published: October 2019

À l’occasion d’une délocalisation dans le nouveau CHU, la conception de la salle de régulation des Appels du SAMU de la Somme a fait l’objet d’une réflexion opposant, d’une part, une approche théorique de la fiabilité qui s’est imposée dans les premières esquisses et qui visait à réduire, voire empêcher les communications orales et, d’autre part, une approche pragmatique et empirique des utilisateurs qui soutenaient l’utilisation des communications comportementales et orales dans le traitement des appels. Les acteurs de cette salle de régulation se sont invités dans la conduite du projet pour y intégrer leur expertise. En écho au drame survenu lors de la prise en charge inadaptée d’une appelante dans un SAMU, cette communication rend compte de l’importance de la conception de la salle de régulation dans sa capacité à favoriser des coopérations proxémiques qui sont de nature à superviser et anticiper d’éventuelles dérives solitaires et individuelles.
Évaluer l’utilité dans le contexte des technologies émergentes pour identifier des besoins latents : éléments issus d’une analyse des interactions en situation d’usage
Authors: Loup-Escande Emilie , Burkhardt Jean-Marie
Published: October 2019

Cet article vise à comprendre dans quelle mesure l’évaluation d’une technologie émergente en contexte écologique au moyen d’un prototype favorise la génération de besoins latents. Ces besoins se caractérisent par le fait qu’ils ne sont pas identifiés a priori et émergent d’interactions entre les participants à des situations de formation et de travail mobilisant le logiciel Appli-Viz’3D, au sein d’une entreprise de fabrication de meubles. Cette étude a impliqué un concepteur (stagiaire en réalité virtuelle) et sept utilisateurs (2 ingénieurs, 3 designers et 2 marketeurs spécialisés dans la conception de mobilier de puériculture). L’analyse des verbalisations et des interactions a mis en évidence pour les deux situations observées : 1) une complémentarité des contributions des participants en termes d’activités cognitives déployées et de sujets abordés, 2) la présence de générations de nouvelles fonctionnalités et propriétés souvent précédées d’activités d’informations et d’évaluations. En discussion, nous insistons sur la nécessité de confronter les utilisateurs à la technologie dans l’environnement réel d’utilisation non seulement pour concevoir des technologies émergentes effectivement utiles, mais aussi pour mieux les introduire dans les organisations. Nous concluons sur les apports et les limites de l’approche rétrospective pour ensuite évoquer l’approche prospective de l’utilité.
Assessing Needs
Authors: Mills Colby , Milloy Jill , Carson Jaysyn
Published: October 2019

For law enforcement agencies and the mental health professionals who serve them, one question is always foremost: How can we provide the right services to improve officers' wellbeing? These decisions are typically made without any data about what officers want. This chapter details one agency's attempt to solicit such feedback with an anonymous online survey about mental health and overall wellness. A brief background describes the context of the survey, which occurred at the same time as other mental health initiatives in the department. The authors discuss the choices involved in developing and promoting the survey, in hopes that readers will make better informed choices should they survey their own first responders. The survey results are reviewed, many of which (including the high response rate) were surprising, and the changes the department has begun to make in response to this feedback. The responses from 14 other public safety agencies throughout Virginia are also summarized.
Posttraumatic Stress and Alcohol Use Among First Responders
Authors: Smith Lia J , Zegel Maya , Bartlett Brooke A. , Lebeaut Antoine , Vujanovic Anka A
Published: October 2019

Developing research suggests that the co-occurrence of posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD) is a significant clinical concern across first responder populations. This comorbidity is difficult to treat and marked by a more costly, complex, and chronic clinical course when compared to either disorder alone. Significant associations between PTSD/AUD comorbidity and various psychological, behavioral, and physical health outcomes among first responder samples have been documented. This chapter provides a theoretical framework and empirical review of the literature relevant to PTSD/AUD in the context of firefighter, police, and other first responder populations (e.g., emergency medical technicians). Future directions, utilizing varied methodologies and assessment tools, and focusing upon varied first responder populations are enumerated to build upon this preliminary, yet clinically meaningful, empirical foundation. This research domain has great potential to inform specialized, evidence-based clinical care for first responders.
Bridging the Gaps
Authors: Dobani Fatima , Pennington Michelle L. , Coe Elizabeth , Morrison Patrick , Gulliver Suzy Bird
Published: October 2019

Peer support, as part of a recovery-oriented approach to treatment, is a valuable resource across various clinical and nonclinical populations. Specifically, in fire service, peer support may bridge the gap between firefighters' behavioral health needs and access to professional services. The current chapter summarizes the literature on peer support utility, presents data on barriers to treatment, and describes the roles clinicians can fill in partnering with fire service peer support to enhance the quality and reach of behavioral health services offered to fire service personnel. Finally, future research directions are outlined to continue the conversation about how to improve collaborations between peer supporters, clinicians, and others working to support the needs and strengths of firefighters.
“More Than Peer Support: Organizational and Relational Intervention Model”
Authors: Gonzalez Mario Jose , Guma Marie , Gonzalez Bernardo Jose
Published: October 2019

The chapter describes a replicable and innovative approach designed to assist first responder communities through the mental health challenges they face in their personal and professional lives. The First Responder Assistance Program (FRAP) strives to create a healthy environment, through a unified structure, three tiered organizational and relational intervention approach, inclusive of peer support, peer chaplaincy support, and clinician involvement. The FRAP Model establishes a direct correlation between organizational wellness, and the individual health of its members. It emphasizes a “top to bottom” organizational intervention, with the understanding that no matter how much help is provided to the individual, the environment must be addressed in order to obtain sustainable results. It stresses a “holistic” approach to healing with a focus on post traumatic growth and the systematic building of individual and organizational resilience.
Don't Assess a Fish by Its Ability to Climb a Tree
Authors: Kouo Jennifer L.
Published: October 2019

The heterogeneity of students in today's classrooms present many obstacles when it comes to formatively assessing learning. The formative assessment cycle affords teachers numerous opportunities to measure student progress towards objectives, provide timely feedback, and make necessary adjustments to instruction. Formative assessments also provide considerable value to students, in the form of learning engagement, and tracking their own progress and planning of future steps. Due to the value of formative assessments in making decisions and supporting students, it is necessary that educators plan and utilize equitable assessment practices to eliminate unnecessary barriers students may face. The chapter will therefore discuss the obstacles that variable learners may experience that impede their inclusion in classrooms, the importance of the universal design for learning in ensuring engagement and multiple means of action and expression, and finally, bring awareness to students with disabilities and the importance of accommodations and modifications in their success.
Using Photographs and Learning Trajectories to Enhance Teacher Noticing to Support Formative Assessment
Authors: Marin Katherine Ariemma , Roller Sarah A. , Cunningham Elizabeth Petit
Published: October 2019

In this chapter, the authors propose a re-imagined framework for formative assessment that weaves professional teacher noticing with the use of learning trajectories and photographs. Photographs can be used to capture “disappearing data” in early childhood mathematics classrooms as a way of documenting children's mathematical thinking and used in data analysis for formative assessment. A case study, including a series of photographs of a single child's work on a one more/one less task is used to demonstrate the ways in which this new framework can be used as part of a coaching cycle aimed at improving formative assessment. The coach supports the teacher in using photographs to document student thinking; employing professional noticing coupled with learning trajectories to identify where the student's work is along the Base 10 progression of counting; and synthesizing noticings and trajectories to plan instructional next steps. Implications for both teaching and research are identified and explored.
Interface Between Stress and Labour Productivity
Authors: Skačkauskienė Ilona , Pališkienė Rasa
Published: October 2019

The main purpose of this article is to examine the relationship between the stress and labour productivity. It is recognized that high stress levels make a negative impact on the job productivity results – the incidents or errors occur because of stressful situations in the working environment. After performing the analysis of stress models, it can be stated, that stress could be assessed as a process, i.e. researches are oriented more on the person, or as the situation, i.e. researches are oriented on the causes of stress in the working environment. The metaanalysis of stress factors allow us to identificate the main causes of stress at work, whose at least partial elimination is essential for every organization to increase the productivity of employee. Analysis of the content of factors that cause stress showed that these factors can be classified into the individual and situational. The labour productivity of employees can be seen as a result of stress management, and interface among stress and job productivity are modelling.
An Empirical Study on Factors Leading to Employee Retention for Manufacturing Industry in India
Authors: Singh Rupali , Sankhi Anil
Published: October 2019

The purpose of this paper is to develop an understanding of employee's retention in manufacturing organizations. The factors identified for the study are work culture, training, compensation, motivation of employee's for their profession, and employee's personality factors which are mediating through job satisfaction of employees. The study established statistically significant relationship between the factors and employee's retention with mediation effect of job satisfaction. Results revealed the importance of job satisfaction as a mediator in predicting employee's retention in manufacturing industry.
The Dawn of Paternal HR
Authors: Abdullah Muhammad , Iqbal Salman
Published: October 2019

The purpose of this article is to explore and investigate the effects of paternal HR practices on the employee behavior outcomes. There is dearth of knowledge research on paternal HR practices in Pakistan, its effect on employee outcomes and organizational performance. The authors have applied a system dynamic approach to explore the interactive effects of paternal HR practices on employee behavior. The paternal HR practices effect the employee job quitting intentions. The paternal HR practices improve the employee loyalty and commitment towards the manager and organization. It induces selfless employee behavior, enhances leader identification, increases social exchange, and fosters the trust. Trust and loyalty bonds an employee in psychological relation with an organization and a manager, leading to employee commitment. The better role identification leads to improved employee performance. Nonetheless, the proposed system of paternal HR practices helps the organizations influence employee behavior strategically, which can help reduce employee turnover. The value of this article lies in the understanding gained about the interactive effects of paternal HR practices on employee resignation with the help of system modeling and learning from the simulation outcomes.
Human Factors in Context to Occupational Health and Wellbeing
Authors: Javaid Muhammad Umair , Isha Ahmad Shahrul Nizam , Nubling Matthias , Mirza Muhammad Zeeshan , Ghazali Zulkipli
Published: October 2019

A workplace never resides in isolation and hence in the workplace employees experience both psychological and social conditions which often called as psychosocial work environment. The psychosocial work environment has become continuous component in studies of occupational health and stress and encompasses concerns on the risks which generate from the psyche perceptions of the individual's concern in accordance with the risks of the societal environment. The psychosocial environment at work has a deteriorating effect on the general health of workers such as musculoskeletal disorders, mental disorders, cardiovascular diseases, stress, burnout, sickness absence, labor turnover along with the organizational outcomes like the effectiveness of work, motivation, and performance. Psychosocial factors in response to the health repair process have become increasingly important in both developed and developing countries. Such factors have not frequently been studied or addressed in developing countries even though 80 percent of the working population lives in developing countries.
Two Ways Interaction between Lower Order Terms of Left Brain and Right Brain Cognitive Style and Relationship between Satisfaction and Turnover Intention
Authors: Busari Abdul Halim , Mughal Yasir Hayat
Published: October 2019

This paper argues that teacher's job satisfaction should also have an impact on turnover intention. In this paper identified teacher's level of job satisfaction and turnover intention of advance learning institutions in the Khyber Pakhtoon Khwa Province of the Pakistan and the moderating effect of the cognitive style. Questionnaires were used to gather the information and 502 completed questionnaires were collected back from the respondents. The questionnaire was comprised of JDI consisting of seven items on job satisfaction, turnover Intention questionnaire consisting of three items and five point Likert scale was used and for cognitive style CSI, the cognitive style index was used, the fourth section was comprised of the open ended questionnaire and fifth section was comprised of demographic variables. Hierarchical multiple regressions have been used to check how much variance satisfaction shows upon turnover intention and also it has been checked that how much variance Analytical and intuition cognitive style shows variance upon satisfaction and turnover intention of advance learning institutions of kpk province of Pakistan. The correlation results taken from bivariate Pearson correlation shows significant results which later on strengthen by the regression results. The regression results show that satisfaction shows variance upon turnover intention, this extended model of job satisfaction will be useful to bring the changes in the academician's satisfaction of Khyber Pakhtoon Khwa province of Pakistan. The findings of this study could be used to guide the advance learning institution's management and professional academicians build targeted learning activities around key components of the academician's job satisfaction, diagnose where people are in their journey, set personalize goals and provide feedback to management in the process of the development of policies for advance learning institutions academician's. In the context of the efficient and effective educational policy, a greater understanding of the academician's job satisfaction could facilitate the development of more effective policy, practice that would increase not only the job satisfaction of the academicians but decrease the turnover intention of the academician's.
Blue Ocean Strategy as a Framework for Business Innovation in China and Spain
Authors: Guijarro-García María , Carrilero-Castillo Agustín , Gallego-Nicholls José Fernando
Published: October 2019

The authors conducted summative content analysis on reported innovation initiatives indexed in the Web of Science for Spain and China from 2015 to 2019 to identify Blue Ocean Strategy dimensions and to analyze the national innovation systems of both countries using Hofstede's cultural dimensions of long-term orientation and uncertainty avoidance, to explain the influence of culture on innovation initiatives. The studies analyzed report structural and industry-level innovation proposals and programs that recommend elimination, reduction, raising, and creation. This chapter raises awareness among decision makers and legislators about the importance of cultural traits, and underscores four actions to undertake innovation initiatives, policies, legislation, and proposals. The chapter contributes to managerial practice by signaling a path to innovate incrementally, and contributes to researchers by establishing a baseline on the linkage between innovation, culture, and strategy. Authors also recommend areas for future research.
Talent Revolution
Authors: Botella-Carrubi Dolores , Tudela-Torras Marta
Published: October 2019

In recent decades, talent management has undergone a great evolution (McDonnell, Collings, Mellahi & Schulerl, 2017). The increase in employment opportunities, the demographic winter, and the growing demands of the labour force have generated the need for a new model of people management (Collings, Scullion & Vaiman, 2015). This has resulted in companies struggling to acquire the most talented professionals. This chapter studies the revolution talent management has experienced and presents the main challenges in the new people management. Authors offer entrepreneurs and managers useful recommendations for adequate talent management.
Amplifying Participant Voices Through Text Mining
Authors: Lewis Jonathan S.
Published: October 2019

Text mining presents an efficient, scalable method to separate signals and noise in large-scale text data, and therefore to effectively analyze open-ended survey responses as well as the tremendous amount of text that students, faculty, and staff produce through their interactions online. Traditional qualitative methods are impractical when working with these data, and text mining methods are consonant with current literature on thematic analysis. This chapter provides a tutorial for researchers new to this method, including a lengthy discussion of preprocessing tasks and knowledge extraction from both supervised and unsupervised activities, potential data sources, and the range of software (both proprietary and open-source) available to them. Examples are provided throughout the paper of text mining at work in two studies involving data collected from college students. Limitations of this method and implications for future research and policy are discussed.
Artificial Intelligence Approach for Predicting TOC From Well Logs in Shale Reservoirs
Authors: Rahaman Md. Shokor A. , Vasant Pandian
Published: October 2019

Total organic carbon (TOC) is the most significant factor for shale oil and gas exploration and development which can be used to evaluate the hydrocarbon generation potential of source rock. However, estimating TOC is a challenge for the geological engineers because direct measurements of core analysis geochemical experiments are time-consuming and costly. Therefore, many AI technique has used for TOC content prediction in the shale reservoir where AI techniques have impacted positively. Having both strength and weakness, some of them can execute quickly and handle high dimensional data while others have limitation for handling the uncertainty, learning difficulties, and unable to deal with high or low dimensional datasets which reminds the “no free lunch” theorem where it has been proven that no technique or system be relevant to all issues in all circumstances. So, investigating the cutting-edge AI techniques is the contribution of this study as the resulting analysis gives top to bottom understanding of the different TOC content prediction strategies.
Deep Learning
Authors: D. Menaga , S. Revathi
Published: October 2019

Multimedia application is a significant and growing research area because of the advances in technology of software engineering, storage devices, networks, and display devices. With the intention of satisfying multimedia information desires of users, it is essential to build an efficient multimedia information process, access, and analysis applications, which maintain various tasks, like retrieval, recommendation, search, classification, and clustering. Deep learning is an emerging technique in the sphere of multimedia information process, which solves both the crisis of conventional and recent researches. The main aim is to resolve the multimedia-related problems by the use of deep learning. The deep learning revolution is discussed with the depiction and feature. Finally, the major application also explained with respect to different fields. This chapter analyzes the crisis of retrieval after providing the successful discussion of multimedia information retrieval that is the ability of retrieving an object of every multimedia.
Fake News Detection Using Deep Learning
Authors: Konagala Varalakshmi , Bano Shahana
Published: October 2019

The engendering of uncertain data in ordinary access news sources, for example, news sites, web-based life channels, and online papers, have made it trying to recognize capable news sources, along these lines expanding the requirement for computational instruments ready to give into the unwavering quality of online substance. For instance, counterfeit news outlets were observed to be bound to utilize language that is abstract and enthusiastic. At the point when specialists are chipping away at building up an AI-based apparatus for identifying counterfeit news, there wasn't sufficient information to prepare their calculations; they did the main balanced thing. In this chapter, two novel datasets for the undertaking of phony news locations, covering distinctive news areas, distinguishing proof of phony substance in online news has been considered. N-gram model will distinguish phony substance consequently with an emphasis on phony audits and phony news. This was pursued by a lot of learning analyses to fabricate precise phony news identifiers and showed correctness of up to 80%.
Multiobjective Optimization of a Biofuel Supply Chain Using Random Matrix Generators
Authors: Ganesan Timothy , Vasant Pandian , Litvinchev Igor
Published: October 2019

As industrial systems become more complex, various complexities and uncertainties come into play. Metaheuristic-type optimization techniques have become crucial for effective design, maintenance, and operations of such systems. However, in highly complex industrial systems, conventional metaheuristics are still plagued by various drawbacks. Strategies such as hybridization and algorithmic modifications have been the focus of previous efforts to improve the performance of conventional metaheuristics. This work tackles a large-scale multi-objective (MO) optimization problem: biofuel supply chain. Due to the scale and complexity of the problem, the random matrix approach was employed to modify the stochastic generator segment of the cuckoo search (CS) technique. Comparative analysis was then performed on the computational results produced by the conventional CS technique and the improved CS variants.
Protein Secondary Structure Prediction Approaches
Authors: Mahyoub Fawaz H. H. , Abdullah Rosni
Published: October 2019

The prediction of protein secondary structure from a protein sequence provides useful information for predicting the three-dimensional structure and function of the protein. In recent decades, protein secondary structure prediction systems have been improved benefiting from the advances in computational techniques as well as the growth and increased availability of solved protein structures in protein data banks. Existing methods for predicting the secondary structure of proteins can be roughly subdivided into statistical, nearest-neighbor, machine learning, meta-predictors, and deep learning approaches. This chapter provides an overview of these computational approaches to predict the secondary structure of proteins, focusing on deep learning techniques, with highlights on key aspects in each approach.
Reliability Analysis
Authors: Bhargava Cherry
Published: October 2019

As the integration of components are increasing from VLSI to ULSI level. This may lead to damage of electronic system because each component has its own operating characteristics and conditions. So, health prognostic techniques are used that comprise a deep insight into failure cause and effects of all the components individually as well as an integrated technique. It will raise alarm, in case health condition, of the components drift from the desired outcomes. From toy to satellite and sand to silicon, the major key constraint of designing and manufacturing industry are towards enhanced operating performance at less operating time. As the technology advances towards high-speed and low-cost gadgets, reliability becomes a challenging issue.
Traditional and Non-Traditional Optimization Techniques to Enhance Reliability in Process Industries
Authors: Kumar Ravinder , Jagtap Hanumant P. , Rajak Dipen Kumar , Bewoor Anand K.
Published: October 2019

At present, optimization techniques are popular to solve typical engineering problems. It is the action of making the best or most effective use of a situation or resources. In order to survive in the competitive market, each organization has to follow some optimization technique depending on their requirement. In each optimization problem, there is an objective function to minimize or maximize under the given restrictions or constraints. All techniques have their own advantages and disadvantages. Traditional method starts with the initial solution and with each successive iteration converges to the optimal solution. This convergence depends on the selection of initial approximation. These methods are not suited for discontinuous objective function. So, the need of non-traditional method was felt. Some non-traditional methods are called nature-inspired methods. In this chapter, the authors give the description of the optimization techniques along with the comparison of the traditional and non-traditional techniques.
Role of Artificial Neural Network for Prediction of Gait Parameters and Patterns
Authors: Sandhu Kamalpreet , Kamboj Vikram Kumar
Published: October 2019

Walking is very important exercise. Walking is characterized by gait. Gait defines the bipedal and forward propulsion of center of gravity of the human body. This chapter describes the role of artificial neural network (ANN) for prediction of gait parameters and patterns for human locomotion. The artificial neural network is a mathematical model. It is computational system inspired by the structure, processing method, and learning ability of a biological brain. According to bio-mechanics perspective, the neural system is utilized to check the non-direct connections between datasets. Also, ANN model in gait application is more desired than bio-mechanics strategies or statistical methods. It produces models of gait patterns, predicts horizontal ground reactions forces (GRF), vertical GRF, recognizes examples of stand, and predicts incline speed and distance of walking.
A Novel Moth-Flame Algorithm for PID-Controlled Processes With Time Delay
Authors: Chatterjee Shamik , Mukherjee Vivekananda
Published: October 2019

This chapter proposes a classical controller to control the industrial processes with time delay. A new population-based metaheuristic technique, called moth flame optimization (MFO) algorithm, is employed to tune the parameters of the classical proportional-integral-derivative (PID) controller for achieving the desired set point and load disturbance response. MFO-based PID controller may deal with wide ranges of processes, which includes integrating and inverse response as well as it may control the processes of any order with time delay. The transient step response profile obtained from the proposed MFO-based PID controller is juxtaposed with those obtained from other methods for optimizing the gains of the PID controller to control the processes with time delay. The proposed controller is analyzed by implementing step disturbance in the process at a specific simulation time. For few time delay processes, reference models are employed for better transient response as well as to analyze the controller for controlling the overall system with reference model.
PVT Variability Check on UCM Architectures at Extreme Temperature-Process Changes
Authors: Sarma Rajkumar , Bhargava Cherry , Jain Shruti
Published: October 2019

The UCM (universal compressor-based multiplier) architecture promises to provide faster multiplication operation in supply voltage as low as 0.6 V. The basic component of UCM architecture is a universal compressor architecture that replaces the conventional Wallace tree algorithm. To extend the work further, in this chapter, a detailed PVT (process-voltage-temperature) analysis is performed using Cadence Virtuoso 90nm technology. The analysis shows that the delay of the UCM has reduced more significantly than the Wallace tree algorithm at extreme process, voltage, and temperature.
Frequency-Based RO-PUF
Authors: Kumar Abhishek , Pathak Jyotirmoy , Tripathi Suman Lata
Published: October 2019

Arbiter PUF and RO-PUF are two well-known architectures. Arbiter PUF is a simple architecture and easy to implement while RO-PUF require exponentially large hardware. As shown in this chapter, the digital design of RO-PUF response is 42.85% uniform and 46.25% unique.
PID Plus Second Order Derivative Controller for Automatic Voltage Regulator Using Linear Quadratic Regulator
Authors: Chatterjee Shamik , Kamboj Vikram Kumar , Jangid Bhavana
Published: October 2019

This chapter presents linear quadratic regulator (LQR) for tuning the parameters of four-term proportional-integral-derivative plus second order derivative controller for controlling terminal voltage of alternator equipped with automatic voltage regulator (AVR) system. Different optimization techniques are considered for juxtaposition with the proposed controller on the basis of terminal voltage response profiles of the AVR system, and Bode plot analysis is carried out for comparing the frequency responses, and through root locus, the stability of the proposed controller is investigated. On-line responses are obtained by implementing a fast performing Sugeno fuzzy logic technique in the controller for working in off-nominal and on-line situations. The controller has undergone an investigation, while having changed system parameters, for the analysis of the robustness of the proposed controller. It is revealed that the performance of the proposed LQR-based controller exhibits a highly improved robust control system for controlling the AVR in power systems.
The Evolving Landscape of Research Methods in Library and Information Science
Authors: Mavodza Judith
Published: October 2019

The library and information science (LIS) profession is influenced by multidisciplinary research strategies and techniques (research methods) that in themselves are also evolving. They represent established ways of approaching research questions (e.g., qualitative vs. quantitative methods). This chapter reviews the methods of research as expressed in literature, demonstrating how, where, and if they are inter-connected. Chu concludes that popularly used approaches include the theoretical approach, experiment, content analysis, bibliometrics, questionnaire, and interview. It appears that most empirical research articles in Chu's analysis employed a quantitative approach. Although the survey emerged as the most frequently used research strategy, there is evidence that the number and variety of research methods and methodologies have been increasing. There is also evidence that qualitative approaches are gaining increasing importance and have a role to play in LIS, while mixed methods have not yet gained enough recognition in LIS research.
Towards an Understanding of Knowledge Sharing in Indigenous Communities of Practice
Authors: Maisiri Esabel
Published: October 2019

Knowledge sharing is broadly an act of communication, and in indigenous communities of practice, knowledge sharing can be viewed as a cultural symbol making process. This process is facilitated by indigenous language as the communication tool. The characteristics of indigenous languages that include being dynamic, constantly changing as people adjust to their life circumstances and being personal, tacit, and experiential renders it closely tied down to the person who knows the language. Thus, the most appropriate way to understand the use and exchange of such knowledge, that is, the communication phenomenon of indigenous knowledge, would be to extricate the personal experiences of individuals involved in the use and exchange of the indigenous knowledge. This can be done using van Manen's phenomenology of practice.