bluuebunny/crossref_metadata_2025 huggingface dataset:
An Investigation of the Relationship Between Favoritism and Workplace Deviance
Authors: Akca Meltem
Published: August 2019

In today's human resource management practices, it is aimed to recruit skillful employees who will work hard to increase organizational performance. Notwithstanding this, patronage is observed as a big problem in today's organizations. Discrimination in organizations accordance with blood and friend relations harm employees' justice perceptions. It is well known that financial cost of workplace deviance in organizations increase with the negativity in the work environment. In this perspective, organizations need to reveal the antecedents of workplace deviance to minimize its impacts on the financial and operational performance outcomes. Reference to the literature, it is aimed to reveal the relationship between favoritism and workplace deviance in this study. It is also goaled to obtain mediation role of negative emotions in this relationship. For these purposes, theoretical framework was investigated, and research model was tested with the statistical analysis.
A Literature Review on Mindfulness at Work Places
Authors: Saraç Mehlika
Published: August 2019

Although there are remarkable researches from different fields, little research has focused on how mindfulness relates to work-related outcomes. Since it is a new concept in an organizational context, there is a need for more studies to clarify the conceptualization and measurement of mindfulness and enhance the understanding of its relationships with related work-outcomes. This present study provides a detailed review of published studies that have defined and measure mindfulness in the work context and examined the relationship between mindfulness and possible work-related outcomes such as performance and wellbeing. As well as work-related outcomes, mediator and moderator variables were taken into consideration to enhance understanding of how mindfulness affects each outcome.
Fog Resource Allocation Through Machine Learning Algorithm
Authors: Gowri A. S.  , Shanthi Bala P.
Published: August 2019

Internet of things (IoT) prevails in almost all the equipment of our daily lives including healthcare units, industrial productions, vehicle, banking or insurance. The unconnected dumb objects have started communicating with each other, thus generating a voluminous amount of data at a greater velocity that are handled by cloud. The requirements of IoT applications like heterogeneity, mobility support, and low latency form a big challenge to the cloud ecosystem. Hence, a decentralized and low latency-oriented computing paradigm like fog computing along with cloud provide better solution. The service quality of any computing model depends on resource management. The resources need to be agile by nature, which clearly demarks virtual container as the best choice. This chapter presents the federation of Fog-Cloud and the way it relates to the IoT requirements. Further, the chapter deals with autonomic resource management with reinforcement learning (RL), which will forward the fog computing paradigm to the future generation expectations.
Cloud Security Architecture Based on Fully Homomorphic Encryption
Authors: Thakare Vaishali Ravindra , Singh K. John
Published: August 2019

Cloud computing is a new environment in computer-oriented services. The high costs of network platforms, development in client requirements, data volumes and weight on response time pushed companies to migrate to cloud computing, providing on-demand web facilitated IT services. Cloud storage empowers users to remotely store their information and delight in the on-demand high quality cloud applications without the affliction of local hardware management and programming administration. In order to solve the problem of data security in cloud computing system, by introducing fully homomorphism encryption algorithm in the cloud computing data security, another sort of information security solution to the insecurity of the cloud computing is proposed, and the scenarios of this application is hereafter constructed. This new security arrangement is completely fit for the processing and retrieval of the encrypted data, successfully prompting the wide relevant prospect, the security of data transmission, and the stockpiling of the cloud computing.
Understanding the Role of Digital Technology in Multiple Intelligence Education
Authors: Greenberg Kevin , Zheng Robert Z. , Maloy Isabelle
Published: August 2019

The theory of multiple intelligences has been embraced by the education and research communities worldwide. Substantial research has been conducted to understand multiple intelligences and learning. However, studies that examine how various types of technology affect across the board the different types of intelligences in learning is lacking. This chapter reviews the multiple intelligence (MI) theory and how emergent technologies can be used to support MI learning in education using a meta-analysis method. The results reveal that bodily-kinesthetic is most responsive to technology-based intervention compared to other types of intelligences and that immersive and visual images are effective in improving verbal linguistic and bodily-kinesthetic intelligences. Discussion of the findings are made along with their implications in educational practices. Suggestions for future research and practice are made in regard to multiple intelligence and emergent digital technology.
Stimulating Multiple Intelligences in Infant Education From an Augmented Didactic Itinerary
Authors: Neira-Piñeiro María del Rosario , Del-Moral M. Esther , Fombella-Coto Inés
Published: August 2019

This chapter investigates the contributions made by augmented reality (AR) to develop multiple intelligences in infant education, along with the opportunities offered by augmented didactic itineraries (ADI) as a suitable formula for the global activation of different intelligences by means of AR resources. The methodological guidelines followed to prepare an ADI are explained, and the case study method is adopted for the purpose of describing a model aimed at infant education schoolchildren—used in teacher training—in which are specified the activities included, together with the AR resources and applications that it comprises. More precisely, this ADI takes children's literature as a starting point and especially activates naturalistic, spatial, and bodily kinesthetic intelligence. Likewise, its training potential is analyzed from a didactic, digital and creative dimension so that it can serve as a model for future teachers to design their own aids.
Concepts of Propaganda
Authors: Vakaloudi Anastasia D.
Published: August 2019

Propaganda represents the communication of information or ideas aimed to influence the audience's view and position on subjects. Forms of propaganda have permeated society for centuries and have evolved to become a common tool of warfare. Through the study of propagandistic posters from the two World Wars-era in the proposed project, students assess the powers of words and images in communication and learn to evaluate the messages they encounter, particularly when those messages urge action. The project is designed as a smart learning environment with the use of open educational resources that focuses on the strengths of all types of learners and the improvement of their weaknesses by integrating learner-centered theories and multiple intelligences and learning styles strategies with various combinations and by enhancing the efforts for self-discovery. This aims to promote students' cognitive engagement, which enables them to immerse themselves in in-depth reflective learning processes that are situated in realistic problem-solving tasks.
How Can Digital Technology Enhance Mathematics Teaching and Learning?
Authors: Dockendorff Monika
Published: August 2019

As digital technology becomes more ubiquitous in society and education, mathematics teachers are expected to design and integrate technology-enriched learning environments effectively. This task encompasses many challenges, but primarily, it entails the identification of how technology may produce insights. This study examines several categories of core mathematical processes that can be enhanced by the integration of dynamic interactive software such as identifying properties, connecting multiple representations, and solving problems, among others. The process of visualization appears at the center of dynamic and interactive mathematics learning environments. Evidence of its functionality and the benefits it reports to the teaching and learning process for each category is presented. Further discussion on the challenges that mathematics teacher education programs and teachers face—not only in their digital competences but also in the role they play—are outlined.
Multiple Intelligences Analysis and Emotional Implications in STEM Education for Students up to K-12
Authors: Rosiña Esperanza , Bermejo M. Luisa , del Barco Miriam , Cañada Florentina , Sanchez-Martin Jesus
Published: August 2019

This chapter investigates whether there is a relationship between emotional management and the prevailing intelligence profile of a sample of pupils in the last year of primary education and two years of lower secondary education with respect to their learning in STEM subjects. A questionnaire was designed to collect information on multiple intelligences and the emotional factor. The sample comprised 143 pupils from the 6th of primary education and 2nd and 4th of secondary education classes in a state school. It was found that the pupils with a predominantly logical-mathematical and/or visual-spatial intelligence also scored better on the items related to the emotional and adaptation factor in science classes.
Environmental Reporting and Accounting
Authors: Othman Radiah , Nath Nirmala , Laswad Fawzi
Published: August 2019

This chapter examines the context in which ‘accounting-sustainability hybrids' were constructed in anticipation of the Environmental Reporting Act (ERA) passed in 2015 in New Zealand. Using governmentality perspectives, the researchers consider how the key individuals in local government discursively articulate the ‘sustainability programmatic' – sustainability policies that deploy the Act as a regulative intervention, the mediating instruments (reporting medium), and the hybridisation of accounting and sustainability (accounting-sustainability hybrids). The chapter draws on archival materials and qualitative survey of 90 key individuals from all 78 local authorities. The analysis showed that local mediating instruments were aligned with ERA and sustainability programmatics, resulting in modification of the existing hybrids and the creation of new ones. The chapter demonstrates how legislation facilitates action from a distance.
Sustainability Evaluation of Green Urban Logistics Systems
Authors: Gonzalez-Feliu Jesus
Published: August 2019

This paper aims to propose a systemic vision of literature on sustainable urban logistics assessment and evaluation. Although non-extensive, this overview pretends lack of unification in the subject of assessing and evaluating the impacts of green urban logistics systems, and, through the proposal of a general assessment and evaluation framework, the steps done and being in course towards standards on this field. First, an overview of the research in urban logistics is provided, after what the main visions of sustainable development and their derived issues for urban logistics assessment and evaluation are presented. Then, a framework to assess and evaluate green urban logistics systems via scenario comparison is proposed. This framework aims to propose a methodological framework to use and combine existing methods to assess scenarios, and not a “black-box” model of software ready to use. This is done to make synergies between existing methods, and to show that, although they remain at an initial stage, steps on the way of defining standards are made. After that, the main applicability and application issues of the proposed methodological framework are addressed, showing those principles of standard from the literature. Finally, and to conclude, future developments on urban logistics research are proposed.
The Scholarship of Teaching and Learning and Higher Education Research
Authors: Ling Peter
Published: August 2019

In this chapter, understandings of the scholarship of teaching and learning and of education research are reviewed, exploring the boundaries of each and the possibilities for overlap. Distinguishing these concepts has practical value in defining the components of academic work, and the form of credit given for academic activities. The conclusion reached is that an academic activity may involve both scholarship of teaching and learning and education research, provided that, inter alia, it involves systematically investigating a contentious issue or a gap in current understandings of education, in a form sufficient to warrant conclusions that have the potential to contribute to current understandings of pedagogy or other aspects of education. A sample of current publications concerning scholarship of teaching and learning is reviewed to illustrate possible relationships between writing related to the scholarship of learning and teaching and education research.
Scientific Realism and the Scholarship of Learning and Teaching in Higher Education
Authors: Smith Calvin
Published: August 2019

In this chapter, the use of Structural Equation Modelling (SEM) in the analysis of the effects of curricula designs on student learning and experience in higher education is explored. The origins, fundamental assumptions, metaphysical and ontological commitments of SEM, are explicated. This is followed by an exemplification of the method by use of a case study. The chapter includes an argument for the adoption of a realist account of latent variables on the basis that the constructs they represent are in principle manipulable, even though experimental manipulation is not typically a feature of research on curricula in higher education. The chapter concludes with the application of these ideas to the scholarship of learning and teaching (SoLT). It is asserted that only by the adoption of a realist perspective on the data collected in the pursuit of SoLT goals can these goals be adequately attained.
Journalism and Communication Design in New Media
Authors: Sine Nazlı Rengim , Akbulak Bahar , Çat Arzu Kalafat
Published: August 2019

This chapter emphasizes that the changes and developments in information and communication Technologies are reflected in the field of journalism being integrated into new media. The transformation and development in the new media have changed the traditional practices of the perception and communication design of journalism, leaving its place to the elements that include information-communication and communication design. An effective communication design on human beings shows that information-target, mass-message-communication pieces are the interaction of today's consumer's taste and consumption desire.
Mobile-Based Social Media, What Is Cutting?
Authors: Chepken Christopher Kipchumba
Published: August 2019

In this chapter, results obtained from a longitudinal study on Social Media (SM) use are reported. Previous studies have mostly carried out contextualized research and not a lot of it has been done in Kenya and especially with the emerging mobile application SM platforms. The key objective of the study was to understand the general aspects of emerging SM platforms with a view of mapping out study areas going forward. The study used mixed method approach for an extended period. To effectively carry out the study, seven themes were identified through a preliminary study and literature review. A summary of the results show that mobile app SM platforms are gaining popularity among users. SM uses are majorly socialization, but other uses such as political campaigns, fundraising, and religious uses are taking root. SM groups are dominating; even though SM is reach in functionality, users expect more. There exist various challenges associated with social media use and SM study methodological challenges. Finally, the study established seven key themes which can frame SM studies.
Erdogan vs. Erdogan
Authors: Keskin Savaş
Published: August 2019

This chapter examines social media relations, which build virtual Erdogans as two opposite realities, with netnography method because of community composition and cultural sharing contents. It will be analyzed visual 'Erdogan' productions in Anti-Tayyip (Opponent) and Erdoğan Sevdalıları-Lovers of Erdogan (Fan/Supporter) communities and it will be drawn post-truth biography of a leader in visual culture of social media. Two different/opposite virtual realities of Erdogan, which are reproduced in social media sociality every day, lead to expansion of polarized political climate in the context of organic society and absorb the political identity of Erdogan.
Organizational Control Policy, Information Security Deviance, and Moderating Effect of Power Distance Orientation
Authors: Choi Youngkeun
Published: August 2019

Researchers generally believe that organizational control can deter employees' information security deviant behaviors. However, these relationships are not always observed. Based on the cognitive appraisal theory, this study extends the content domain of information security research by examining the moderating effect of power distance orientation, a kind of cultural value, on these relationships. In the results, first, the severity of penalty and the certainty of detection decreases employees' computer abuse. Second, employee power distance orientation moderates the relationships of the severity of penalty with employee computer abuse, such that the negative relationships are stronger for employees with higher power distance orientation. The findings suggest the deterrent function of cultural values employees hold in organizational behavior.
A Fuzzy Based Trust Evaluation Model for Service Selection in Cloud Environment
Authors: Priya G.  , Jaisankar N.
Published: August 2019

Cloud computing is a popular computing paradigm among several computing environments, but a deficit in trust among the users and the service providers prevents the large adoption of the cloud in most of the businesses. Cloud service providers should give assurances for providing the reliable services to the cloud consumers. The proposed work explains about the architecture of the trust evaluation model and considered four service measurement indexes (SMI) namely: availability, success rate, turnaround efficiency and feedback about a resource. The trust value for each resource is estimated by the fuzzy evaluation engine in which a fuzzy input set is derived from the SMI parameters. By applying a fuzzy inference rule on fuzzy input sets will yield a fuzzy output set and finally, the most trusted resource value is calculated by defuzzification process called center of gravity. The proposed work is done the implementation by using cloudsim with jfuzzycloud.
Virtual Collaboration in Distance Learning Environments
Authors: Tucker Virginia
Published: August 2019

This case study compares technology tools and communication practices of two virtual groups to understand how these vary between academia and the workplace. A group of professionals working virtually is compared to a group of distance learning graduate students, and conclusions are drawn regarding how to better prepare students like these for the future of virtual work. Task-based conversations within the groups are examined. Results may help distance educators understand what tools students should have access to depending on the tasks required in an assignment. It may also help determine what kinds of transferable technology skills our students need prior to entering the workforce. Findings include suggestions for educators regarding how to approach group work in online educational environments, such as making considerations for multiple technologies that serve various purposes and support collective collaboration. A technology matrix is provided for determining which collaboration technology tools to use along with guidelines for making such decisions.
Towards Deep Learning-Based Approach for Detecting Android Malware
Authors: Booz Jarrett , McGiff Josh , Hatcher William G. , Yu Wei , Nguyen James , Lu Chao
Published: August 2019

In this article, the authors implement a deep learning environment and fine-tune parameters to determine the optimal settings for the classification of Android malware from extracted permission data. By determining the optimal settings, the authors demonstrate the potential performance of a deep learning environment for Android malware detection. Specifically, an extensive study is conducted on various hyper-parameters to determine optimal configurations, and then a performance evaluation is carried out on those configurations to compare and maximize detection accuracy in our target networks. The results achieve a detection accuracy of approximately 95%, with an approximate F1 score of 93%. In addition, the evaluation is extended to include other machine learning frameworks, specifically comparing Microsoft Cognitive Toolkit (CNTK) and Theano with TensorFlow. The future needs are discussed in the realm of machine learning for mobile malware detection, including adversarial training, scalability, and the evaluation of additional data and features.
Fruit Image Classification Using Convolutional Neural Networks
Authors: Ashraf Shawon , Kadery Ivan , Chowdhury Md Abdul Ahad , Mahbub Tahsin Zahin , Rahman Rashedur M.
Published: August 2019

Convolutional neural networks (CNN) are the most popular class of models for image recognition and classification task nowadays. Most of the superstores and fruit vendors resort to human inspection to check the quality of the fruits stored in their inventory. However, this process can be automated. We propose a system that can be trained with a fruit image dataset and then detect whether a fruit is rotten or fresh from an input image. We built the initial model using the Inception V3 model and trained with our dataset applying transfer learning.
Generalized Multi-Release Framework for Fault Prediction in Open Source Software
Authors: Khurshid Shozab , Shrivastava A.K. , Iqbal Javaid
Published: August 2019

Software developing communities are shifting to open source software (OSS) because of the reason that software development takes place in successive releases, thereby improving its quality and reliability. Multi-release development of OSS can provide an opportunity to inculcate the dynamic needs of the user in a very short span of time to survive in the market. In spite of having these benefits, numerous challenges can be faced during the multi-release OSS development. Some of the challenges can be the generation of errors during the addition of new features. To address the changing fault detection process, a change point phenomenon is considered so as to give more practicality to the model. In this article, we present a general framework for multi-release OSS modelling incorporating imperfect debugging and change points. Parameter estimation and model validation is done on the three releases of Apache, an open source software project.
A Simplified Model for Particle Internal Temperature Calculation in Fluidized Bed
Authors: Ferreira Rafael , Souza Jeferson Avila , Davesac Rodrigo
Published: August 2019

Thermal mechanism analysis of heat exchange between a gas phase flow and the internal region of a particulate is still a subject of interest among researchers, mainly due to its complexity and lack of a simplified (in terms of computational effort) solution. Main goal of present work is to develop a simplified model capable of predict internal particle temperature, as a function of its surface temperature and flow conditions, in a fluidized bed, transporting spherical particles. Proposed model was implemented in C++ programming language and an algorithm was developed to solve two energy equations, for gas and particulate phases, and an algebraic equation to determine internal particle temperature. As a result, predicted particle temperature decreases while gas temperature rises. At approximate 12 m, both temperatures reach the equilibrium at 755 K which remains unaltered up to the riser outlet section. Energy balance verification, between inlet and outlet riser sections, showed that proposed model and balance calculated temperatures agree with a difference of 1.804E−11 kW on the outlet. In terms of internal particle temperature, results showed that it remains higher than surface temperature from riser entrance up to approximated 32.8 m. After this point it reaches surface temperature, which already is in equilibrium with the gas phase temperature.
Numerical Study of Newtonian Fluid Flows in T-Shaped Structures with Impermeable Walls
Authors: Pepe Vinicius da Rosa , Rocha Luiz Alberto Oliveira , Zinani Flavia Schwarz Franceschini , Miguel Antonio Ferreira
Published: August 2019

This article presents the results of flows in "T" shaped duct bifurcations. The problem is to find the resistance to flow in three-dimensional (3D) structures with different homothetic relationships between sizes (diameters and lengths) of parent and daughter ducts. The method used is the Constructal Design, which is based on the Constructal Theory. The minimization of the global resistance to flow, subjected to geometric constraints of volume and area occupied by the ducts, is the key to search for optimum configurations. The flows investigated were three-dimensional, laminar, incompressible, in steady state, with uniform and constant properties. The results obtained numerically were verified via comparison with analytical results available in the literature. In this work, ranges of length and ratio of diameterss from 0.5 to 1 and 0.1 to 1, respectively, were investigated, for Reynolds numbers equal to 102 and 103. The main results indicate that the T-shaped structure with impermeable walls, agree with Hess-Murray's law.
Application of the TELEMAC-2D Model in the Fluvial Hydrodinamics Simulation and Reproduction of Flood Patterns
Authors: Forster Aldair , Costi Juliana , Marques Wiliam Correa , Wormsbecher André Gustavo , Bendo Antonio Raylton Rodrigues
Published: August 2019

. The increased occurrence of floods in the city of Rio do Sul (SC), even with the creation of dams to contain floods, show that non-structural measures can be good alternatives to reduce losses in the region. Numerical flood modeling has been widely used to anticipate risks and assist in decisionmaking. One of the numerical models that is being used to simulate floods is TELEMAC-2D, which is able to simulate the hydrodynamics of open channels by solving the shallow water equations in a domain discretized by an unstructured finite element mesh. We used the TELEMAC-2D model tosimulate the dynamics of the rivers of the region of Rio do Sul throughout the year of 2013, period during which a flood with large proportions occurred in September. Fluviometric data avaliable from the National Water Agency and high resolution (1 m) topographic data provided by government agen-cies of Santa Catarina were used in the simulation. The results show that the model performed well in simulating the maximum flood extension occurred in September, however, the simulations were underestimated for most of the time, indicating that calibrations in the model can still be performed.
Lagrangian Trajectory Simulation of Floating Objects in the State of São Paulo Coastal Region
Authors: Lugon Junior Jader , Kalas Francine de Almeida , Rodrigues Pedro Paulo Gomes Watts , Jeveaux José Luiz , Neto Hugo Gallo , Juliano Maria Manuela , da Silva Neto Antônio José
Published: August 2019

In this work a computational model is presented in order to simulate the trajectory of objects near the Ilhabela island region, in São Paulo coastline, Brazil. The MOHID platform (MOdelagem HIDrodinâmica - Hydrodynamics Modelling) was used with the downscalling technique used to obtain local hydrodynamic currents at local scale. Two different applications are tested, the first is the hypothetical trajectory of a dead cetacean specimen drifting that could have happened in fact if it was not arrested to a more adequate spot near Ilhabela island in November, 2017, and the second is the simulation for the drift of floating objects that resulted from an accidental release of containers at the Port of Santos in August, 2017. The use of these technologies has great potential for researchers interested to simulate different drift occurrences near the Brazilian costal region.
Performance Analysis of Stehfest and Power Series Expansion Methods for Solution to Diffusive and Advective Transport Problems
Authors: Pilatti Cristiana , Rodriguez Bárbara Denicol do Amaral , Prolo Filho João Francisco
Published: August 2019

This paper presents results of the test of methods for numerical inversion of the Laplace Transform for solving the one-dimensional advection-diffusion equation, which describes solute transport processes, focusing on the contaminant transport in a porous medium. The performance of Stehfest and Power Series Expansion methods is analyzed, for diffusion-dominated and advection-dominated transport problems under linear flow condition. Numerical results are compared to the analytical solution by means of the absolute error. Based on these results, we concluded that both methods, Stehfest and Power Series Expansion, are recommended only for diffusion-dominated cases.
Size-dependent seasonal activity for males of the dung beetle Copris acutidens (Coleoptera: Scarabaeidae)
Authors: Akamine Mayumi
Published: August 2019

This study aimed to determine differences in activities between two male morphs of the dung beetle Copris acutidens Motschulsky (Coleoptera: Scarabaeidae) during the reproductive period and to examine the size distribution of reproductive males that stayed in nests. The activities of two male morphs distinguished by a threshold value of body size were compared with those by horn length. Regardless of body size or horn length, earlier activity of minor males was observed during the reproductive period. The sex ratio showed the greatest female bias when minor males were the more abundant than major males, indicating that minor males were the most active when competition was the weakest and these could avoid direct combat with major males. In morphs distinguished by horn length, more major males than minor males stayed in nests with females although the major males became the most active from the middle of the reproductive period. Thus, longer horns may directly confer a competitive advantage to males, enabling them to stay in nests with females, whereas early activity of minor males does not always indicate the effect of horn length directly. Therefore, this behaviour may occur regardless of whether the morphs differ in body size or horn length.
Fascial neuromodulation: an emerging concept linking acupuncture, fasciology, osteopathy and neuroscience
Authors: Bianco Gianluca
Published: August 2019

According to Traditional Chinese Medicine “acupuncture is believed to restore the balance between Yin and Yang” and this can be understood in the Western medicine terminology as a “modulation of the equilibrium between parasympathetic and sympathetic activity”. The vast majority of studies concerning the mechanisms of action of acupuncture have been conducted on its influence on pain, and it has been proposed that acupuncture may indirectly relieve chronic pain by its effects on autonomic nervous system function. Several studies have shown that acupuncture recruits brain networks involved in the integration of multiple other brain functions: for example, the limbic-paralimbic-neocortical network, which plays a major role in modulating the affective dimensions of pain processing and the integration of emotional, sensorimotor, autonomic and immunological functions. It has been recently proposed that mechanical signaling through the connective tissue, along with transmission of the matrix deformation through the fascial system network, can explain the therapeutic effect of acupuncture. This model of acupunture, which involves the transduction of mechanical signals through the connective planes and produces a secondary involvement of neurophysiological mechanism, appears to fit very closely to the ancient model. It is also compatible with the proposed neurophysiological explanation. Furthermore, it appears to be fruitful also in manual therapy approaches. Drawing on the basis of the “Fascial network hypothesis of meridians”, in which there is an overlap between the channels network described by Traditional Chinese Medicine and the newly-defined fascial system, I propose an intervention through a combination of acupoints that have been selected due to their relationship between “extraordinary acupuncture channels”, the myofascial sequences described by Stecco, and the emotional and adaptive function as contemplated by a psychosomatic model used in posturology. This intervention is aimed at treating both stress and postural imbalance.
Hypnotherapy in management of delivery pain: a review
Authors: Azizmohammadi Susan , Azizmohammadi Sima
Published: August 2019

Hypnosis in obstetrics is available for more than one hundred years, but the development of inhalational anesthetic and chemotherapy agents and anesthesia drugs pending the 19th century induced the decrement of its application. However, experimental assessment of this type of intervention on labor and delivery in not high yet. For this reason, evaluation of hypnotic techniques in preparing childbirth should be carried out. One of the main unified mind-body healing practices, which has a great remedial potential in different applications of health care like labor and delivery. Assessment of effectiveness of this procedure in various administered trials is not easy, due to methodologic challenges, like normalizing trial conditions and picking up sufficient sizes of sample. Applying techniques of hypnosis for childbirth within hospital settings makes women to easily overcome barriers associated with institutional policies or caregiver resistance. Potential analgesic and anxiolytic clinical hypnosis effects for childbirth deserve more clinical trials. In this regard, nurses who manage women pending labor and delivery could easily enhance their skills and related understandings for contributing to techniques of hypnotherapy.
In memory of Dr. Kary Mullis
Authors: Cocchi Massimo
Published: August 2019

Not available.
Upper Extremity Musculoskeletal Characteristics and the Kerlan-Jobe Orthopaedic Clinic Questionnaire Score in Collegiate Baseball Athletes
Authors: Faherty Mallory S. , Plata Aldo , Chasse Patrick , Zarzour Robert , Sell Timothy C.
Published: August 2019

Context

Upper extremity (UE) musculoskeletal injuries are common in baseball athletes due to the increased demand placed on the UE. The link between risk factors for UE musculoskeletal injuries and baseball athletes' perceived UE function and pain, as measured by the Kerlan-Jobe Orthopaedic Clinic (KJOC) questionnaire, is unclear.

Objective

To (1) describe the musculoskeletal characteristics of the UE (posture, range of motion, flexibility, and isometric strength) in a population of baseball athletes and (2) determine the predictive capability of UE musculoskeletal characteristics for the KJOC score in these athletes.

Design

Cohort study.

Setting

Athletic training room.

Patients or Other Participants

A total of 37 male National Collegiate Athletic Association Division I baseball athletes (age = 20.10 ± 1.27 years, height = 186.96 ± 7.64 cm, mass = 90.60 ± 10.69 kg).

Intervention(s)

Athletes self-reported all shoulder musculoskeletal injuries and completed the KJOC questionnaire. Postural assessment consisted of forward head and shoulder posture. Flexibility tests characterized glenohumeral internal and external rotation, posterior shoulder tightness, and pectoralis minor length. Strength tests involved the lower and middle trapezius, rhomboid, glenohumeral internal and external rotation, pectoralis major, serratus anterior, supraspinatus, and upper trapezius.

Main Outcome Measure(s)

All 10 KJOC questions were summed for an overall score out of 100. Questions 1 through 5 were summed for a pain score; questions 6 through 10 were summed for a function score. All data were assessed for normality. A stepwise multiple regression model was fit to determine if the predictor variables assessed could predict the KJOC score. We set the α level a priori at .05.

Results

For the KJOC total score, a 1-year history of shoulder injury accounted for 7.80% of the variance in the KJOC total score (P = .07). For KJOC questions 1 through 5, a history of UE injury in the year before testing and posterior shoulder tightness accounted for 14.40% of the variance in the KJOC total score (P = .047).

Conclusions

The link between a history of UE musculoskeletal injuries and the KJOC score highlights the need for continued focus on self-perceived pain and function after UE musculoskeletal injury.
An Ambispective Cohort Study to Assess Seizure Recurrences in Children with Calcified Parenchymal Neurocysticercosis
Authors: Modak Abhijit , Suthar Renu , Sharawat Indar Kumar , Sankhyan Naveen , Sahu Jitendra Kumar , Malhi Prahbhjot , Khandelwal Niranjan
Published: August 2019

Calcified neurocysticercosis (NCC), previously thought to be a dead end, is an important risk factor for seizure recurrences. We studied the pattern of seizure recurrences and associated radiological findings in children with calcified NCC. In this ambispective cohort study, we enrolled children (age 1–15 years) with calcified NCC attending the pediatric NCC clinic between January 2017 and December 2017. Retrospective data were collected from the hospital records, and all enrolled children were prospectively followed up till June 2018. The study group divided into two groups: 1) children first presenting with calcified granuloma and 2) children presented with ring-enhancing lesion (REL) and transformed into the calcified lesion during follow-up imaging. During the study period (January 2017–December 2017), 520 children with NCC were screened and 128 with calcified NCC were enrolled. The mean age was 10.8 ± 3.2 years, and 63% were boys. Among 128 children, 40 (31%) had calcified granuloma and 88 (69%) had REL transformed to calcified granuloma. Sixty-one (49%) children had seizure recurrence: 22 (58%) within calcified granuloma group and 39 (45%) within REL transformed to calcified granuloma group (P = 0.18). Seizure recurrence was associated with the presence of perilesional edema (PE) in 35 (57.4%) children on computed tomography scan. The median interval between two seizure recurrences was 30 (17–56) months, and the median antiepileptic drug-free interval was 17 (12–22) months. The total duration of continued seizures was 42 (26–58) months, slightly longer in children with REL transformed to calcified granuloma group (42, 95% CI: 18–66 months) in comparison to calcified granuloma group (35, 95% CI: 10–60 months, P = 0.32). To conclude, children with calcified NCC have seizure recurrences over a prolonged period. Seizure recurrences are intermittent and may be interspersed with a prolonged period of quiescence in between. The presence of PE and contrast enhancement around the lesion during seizure recurrence suggests lesion reactivation.
As representações sociais de universitários de um curso de Educação Física da zona oeste do Rio de Janeiro sobre o jiu-jítsu brasileiro
Authors: Gomes Bernardo De Oliveira , Moreira Jorge Felipe Fonseca , Triani Felipe Da Silva
Published: August 2019

O objetivo da pesquisa é desvelar e discutir as representações sociais que um grupo de estudantes de graduação em Educação Física possui sobre o Jiu-Jítsu. Portanto, para atingir esse objetivo foi realizada uma pesquisa de campo, tendo sido entrevistados 50 estudantes universitários, sendo 20 do sexo masculino e 30 do feminino. Destarte, as representações sociais compartilhadas entre os universitários são de que o Jiu-Jítsu é uma prática violenta, mas que serve como uma panaceia. Portanto, o estudo concluiu que é necessário a implementação de práticas que impliquem o repensar do esporte de maneira crítica, reflexiva e segura.
Educação Física e exame nacional de desempenho de estudantes (ENADE): perfil das provas de 2004 a 2017
Authors: Santolin Cezar Barbosa , Kaizer Cibele Denise
Published: August 2019

O objetivo deste estudo foi descrever as características das provas aplicadas no Exame Nacional de Desempenho de Estudantes (ENADE) na área de Educação Física entre os anos de 2004 a 2017. Para tanto, oito provas foram analisadas em relação à estrutura geral e ao conteúdo das questões de conhecimentos específicos. Utilizou-se análise de conteúdo temática para categorizar as questões, aplicando até três rótulos em cada. Após isso, agrupou-se os rótulos em categorias conforme a proximidade temática. Os resultados foram quantificados com estatística descritiva e apresentados em quadros. A análise permitiu concluir que estruturalmente as provas mantiveram uma grande homogeneidade, enquanto no conteúdo das questões houve considerável especificidade com as habilitações. A licenciatura apresentou menor diversidade temática, com grande parte do conteúdo composto pela dimensão pedagógica – tanto nas questões objetivas quanto nas discursivas. Concluiu-se que o perfil das provas não só permitem uma descrição fácil como também uma boa preparação.
Aplicação da análise de confiabilidade para avaliação de estações de tratamento de esgoto no estado do Ceará
Authors: Ponce Francisco De Assis Martins , Rollemberg Silvio Luiz de Sousa , De Oliveira Andre Gadelha
Published: August 2019

A Confiabilidade é a probabilidade de um item exercer sua função de forma adequada, em conformidade com as condições específicas, por um período determinado de tempo. Sendo assim, torna-se essencial que os processos de tratamento de esgotos sejam avaliados em relação à confiabilidade, fornecendo assim informações que permitem subsidiar a seleção de um determinado sistema de tratamento, além de permitir a avaliação do desempenho real de uma ETE. Nesse contexto essa pesquisa investigou 3 (três) diferentes rotas de tratamento de esgoto de ETEs operada pela Companhia de água e esgoto do Ceará (CAGECE) avaliando-se os resultados de eficiência e testes de confiabilidade (considerando valor de 95%). Observou-se que o sistema composto por Reator UASB + Filtro Submerso Aerado (FSA), alcançou um efluente de melhor qualidade em termos de remoção de DQO e melhor homogeneidade dos dados. Por outro lado, a rota de Lodos Ativados convencionais obteve o melhor desempenho com relação à remoção de amônia, comportamento esperado por esse tipo de tecnologia. Por fim, observou-se que os sistemas compostos por Decanto Digestor (DD) seguido de Filtros anaeróbios apresentaram rendimento abaixo dos padrões de lançamento, o que obriga a substituição dessa rota tecnologia por sistemas que permitam melhores percentuais de remoção. Dessa forma, foi verificado que análise de confiabilidade é uma importante ferramenta a ser aplicada no monitoramento de ETEs, ressaltando a importância destes estudos para a tomada de decisão para escolha tecnológica de novas estações.
China’s Rebalancing
Authors: Mano Rui , Zhang Jiayi
Published: August 2019

While China’s growth gathered momentum in 2017, rebalancing was uneven and
decelerated along many dimensions reflecting the temporary factors behind the growth
pickup. Going forward, rebalancing is expected to proceed as these temporary factors
recede, but elevated income inequality and leverage will remain a challenge. The
authorities are already pursuing several pro-rebalancing policies which could be expanded
to support each dimension of rebalancing while reducing trade-offs between them.
Balancing Financial Stability and Housing Affordability
Authors: Matheson Troy
Published: August 2019

Housing market imbalances are a key source of systemic risk and can adversely affect
housing affordability. This paper utilizes a stylized model of the Canadian economy that
includes policymakers with differing objectives—macroeconomic stability, financial
stability, and housing affordability. Not surprisingly, when faced with multiple objectives,
deploying more policy instruments can lead to better outcomes. The results show that
macroprudential policy can be more effective than policies based on adjusting propertytransfer
taxes because property-tax policy entails excessive volatility in tax rates. They also
show that if property-transfer taxes are used as a policy instrument, taxes targeted at a
broader-set of homebuyers can be more effective than measures targeted at a smaller subset
of homebuyers, such as nonresident homebuyers.
CoMap
Authors: Ziya Gorpe Mehmet , Covi Giovanni , Kok Christoffer
Published: August 2019

This paper presents a novel approach to investigate and model the network of euro area banks’ large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral linkages. We develop a Contagion Mapping model fully calibrated with bank-level data to study the contagion potential of an exogenous shock via credit and funding risks. We find that tipping points shifting the euro area banking system from a less vulnerable state to a highly vulnerable state are a non-linear function of the combination of network structures and bank-specific characteristics.
Doing More for Less? New Evidence on Lobbying and Government Contracts
Authors: Agca Senay , Igan Deniz , Li Fuhong , Mishra Prachi
Published: August 2019

Why do firms lobby? This paper exploits the unanticipated sequestration of federal budget accounts in March 2013 that reduced the availability of government funds disbursed through procurement contracts to shed light on this question. Following this event, firms with little or no prior exposure to the federal accounts that experienced cuts reduced their lobbying spending. In contrast, firms with a high degree of exposure to the cuts
maintained and even increased their lobbying spending. This suggests that, when the same number of contractors competed for a piece of a reduced pie, the more affected firms
likely intensified their lobbying efforts to distinguish themselves from the others and improve their chances of procuring a larger share of the smaller overall. These findings
are stronger in government-dependent sectors and when there is intense competition. The evidence is more consistent with a rent-seeking explanation for lobbying.
Optimal Monetary Policy Under Bounded Rationality
Authors: Benchimol Jonathan , Bounader Lahcen
Published: August 2019

The form of bounded rationality characterizing the representative agent is key in the choice of the optimal monetary policy regime. While inflation targeting prevails for myopia that distorts agents' inflation expectations, price level targeting emerges as the optimal policy under myopia regarding the output gap, revenue, or interest rate. To the extent that bygones are not bygones under price level targeting, rational inflation expectations is a minimal condition for optimality in a behavioral world. Instrument rules implementation of this optimal policy is shown to be infeasible, questioning the ability of simple rules à la Taylor (1993) to assist the conduct of monetary policy. Bounded rationality is not necessarily associated with welfare losses.