bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantitative Analysis on the Energy and Environmental Impact of the Korean National Energy R&D Roadmap a Using Bottom-Up Energy System Model
Authors: Choi Sang Jin , Choi Dong Gu , Friley Paul , Kim Hyunkeong , Park Sang Yong
Published: March 2017

According to the Paris Agreement at the 21st Conference of the Parties, 196 member states are obliged to submit their Intended Nationally Determined Contributions (INDC) for every 5 years. As a member, South Korea has already proposed the reduction target and need to submit the achievement as a result of the policies and endeavors in the near future. In this paper, a Korean bottom-up energy system model to support the low-carbon national energy R&D roadmap will be introduced and through the modeling of various scenarios, the mid-to long-term impact on energy consumptions and CO2 emissions will be analyzed as well. The results of the analysis showed that, assuming R&D investments for the 11 types of technologies, savings of 13.7% with regards to final energy consumptions compared to the baseline scenario would be feasible by 2050. Furthermore, in the field of power generation, the generation proportion of new and renewable energy is expected to increase from 3.0% as of 2011 to 19.4% by 2050. This research also suggested that the analysis on the Energy Technology R&D Roadmap based on the model can be used not only for overall impact analysis and R&D portfolio establishment, but also for the development of detailed R&D strategies.
Monte Carlo vs. Fuzzy Monte Carlo Simulation for Uncertainty and Global Sensitivity Analysis
Authors: Kim Young-Jin
Published: March 2017

Monte Carlo simulation (MCS) has been widely used for the uncertainty propagations of building simulation tools. In general, most unknown inputs for the MCS are regarded as single probability distributions based on experts’ subjective judgements and assumptions, when simulation information and measured data are inaccurate and insufficient. However, this can lead to meaningless and untrustworthy results, since the results are obtained using only single probability distributions without considering reducible possibilities of some unknown inputs. This paper introduces a fuzzy MCS for dealing with the aforementioned problems. In comparison with the MCS, the fuzzy MCS has the advantage of considering the aleatory and epistemic uncertainty, and can provide a family of probability distributions. This paper also discusses how fuzzy MCS could be effectively used for uncertainty and global sensitivity analysis.
Research and Application of a SCADA System for a Microgrid
Authors: Li Shuangshuang , Jiang Baochen , Wang Xiaoli , Dong Lubei
Published: March 2017

An effective Supervisory Control and Data Acquisition (SCADA) system can improve the reliability, safety and economic benefits of a microgrid operation. In this research, the lower central controller and upper WEB (World Wide Web) monitoring system are connected by the SCADA system, which is the hub of a microgrid intelligent monitoring platform. This system contains a set of specific functions programmed by Java as a middleware and can provide communication and control functions between the central controller and the upper monitoring system. For the sake of security and stability of the microgrid, the SCADA system realizes business processing on real-time data acquisition and storage, load balancing and resource recovery, concurrent security processing, and control instruction parsing and transmission. All those functions were tested and verified in actual operation.
Integration of Hospital Information and Clinical Decision Support Systems to Enable the Reuse of Electronic Health Record Data
Authors: Kopanitsa Georgy
Published: March 2017

Background: The efficiency and acceptance of clinical decision support systems (CDSS) can increase if they reuse medical data captured during health care delivery. High heterogeneity of the existing legacy data formats has become the main barrier for the reuse of data. Thus, we need to apply data modeling mechanisms that provide standardization, transformation, accumulation and querying medical data to allow its reuse.

Objectives: In this paper, we focus on the interoperability issues of the hospital information systems (HIS) and CDSS data integration.

Materials and Methods: Our study is based on the approach proposed by Marcos et al. where archetypes are used as a standardized mechanism for the interaction of a CDSS with an electronic health record (EHR). We build an integration tool to enable CDSSs collect data from various institutions without a need for modifications in the implementation. The approach implies development of a conceptual level as a set of archetypes representing concepts required by a CDSS.

Results: Treatment case data from Regional Clinical Hospital in Tomsk, Russia was extracted, transformed and loaded to the archetype database of a clinical decision support system. Test records’ normalization has been performed by defining transformation and aggregation rules between the EHR data and the archetypes. These mapping rules were used to automatically generate openEHR compliant data. After the transformation, archetype data instances were loaded into the CDSS archetype based data storage. The performance times showed acceptable performance for the extraction stage with a mean of 17.428 s per year (3436 case records). The transformation times were also acceptable with 136.954 s per year (0.039 s per one instance). The accuracy evaluation showed the correctness and applicability of the method for the wide range of HISes. These operations were performed without interrupting the HIS workflow to prevent the HISes from disturbing the service provision to the users.

Conclusions: The project results have proven that archetype based technologies are mature enough to be applied in routine operations that require extraction, transformation, loading and querying medical data from heterogeneous EHR systems. Inference models in clinical research and CDSS can benefit from this by defining queries to a valid data set with known structure and constraints. The standard based nature of the archetype approach allows an easy integration of CDSSs with existing EHR systems.
Integral Field Spectroscopy of the Low-mass Companion HD 984 B with the Gemini Planet Imager
Authors: Johnson-Groh Mara , Marois Christian , De Rosa Robert J. , Nielsen Eric L. , Rameau Julien , Blunt Sarah , Vargas Jeffrey , Ammons S. Mark , Bailey Vanessa P. , Barman Travis S. , Bulger Joanna , Chilcote Jeffrey K. , Cotten Tara , Doyon René , Duchêne Gaspard , Fitzgerald Michael P. , Follette Kate B. , Goodsell Stephen , Graham James R. , Greenbaum Alexandra Z. , Hibon Pascale , Hung Li-Wei , Ingraham Patrick , Kalas Paul , Konopacky Quinn M. , Larkin James E. , Macintosh Bruce , Maire Jérôme , Marchis Franck , Marley Mark S. , Metchev Stanimir , Millar-Blanchaer Maxwell A. , Oppenheimer Rebecca , Palmer David W. , Patience Jenny , Perrin Marshall , Poyneer Lisa A. , Pueyo Laurent , Rajan Abhijith , Rantakyrö Fredrik T. , Savransky Dmitry , Schneider Adam C. , Sivaramakrishnan Anand , Song Inseok , Soummer Remi , Thomas Sandrine , Vega David , Wallace J. Kent , Wang Jason J. , Ward-Duong Kimberly , Wiktorowicz Sloane J. , Wolff Schuyler G.
Published: March 2017

We present new observations of the low-mass companion to HD 984 taken with the Gemini Planet Imager (GPI) as a part of the GPI Exoplanet Survey campaign. Images of HD 984 B were obtained in the J (1.12–1.3 μm) and H (1.50–1.80 μm) bands. Combined with archival epochs from 2012 and 2014, we fit the first orbit to the companion to find an 18 au (70-year) orbit with a 68% confidence interval between 14 and 28 au, an eccentricity of 0.18 with a 68% confidence interval between 0.05 and 0.47, and an inclination of 119° with a 68% confidence interval between 114° and 125°. To address the considerable spectral covariance in both spectra, we present a method of splitting the spectra into low and high frequencies to analyze the spectral structure at different spatial frequencies with the proper spectral noise correlation. Using the split spectra, we compare them to known spectral types using field brown dwarf and low-mass star spectra and find a best-fit match of a field gravity M6.5 ± 1.5 spectral type with a corresponding temperature of

K. Photometry of the companion yields a luminosity of

/

dex with DUSTY models. Mass estimates, again from DUSTY models, find an age-dependent mass of 34 ± 1 to 95 ± 4 M
Jup. These results are consistent with previous measurements of the object.
X-Ray and Optical Study of the Gamma-ray Source 3FGL J0838.8–2829: Identification of a Candidate Millisecond Pulsar Binary and an Asynchronous Polar
Authors: Halpern Jules P. , Bogdanov Slavko , Thorstensen John R.
Published: March 2017

We observed the field of the Fermi source 3FGL J0838.8−2829 in optical and X-rays, initially motivated by the cataclysmic variable (CV) 1RXS J083842.1−282723 that lies within its error circle. Several X-ray sources first classified as CVs have turned out to be γ-ray emitting millisecond pulsars (MSPs). We find that 1RXS J083842.1−282723 is in fact an unusual CV, a stream-fed asynchronous polar in which accretion switches between magnetic poles (that are ≈120° apart) when the accretion rate is at minimum. High-amplitude X-ray modulation at periods of 94.8 ± 0.4 minutes and 14.7 ± 1.2 hr are seen. The former appears to be the spin period, while the latter is inferred to be one-third of the beat period between the spin and the orbit, implying an orbital period of 98.3 ± 0.5 minutes. We also measure an optical emission-line spectroscopic period of 98.413 ± 0.004 minutes, which is consistent with the orbital period inferred from the X-rays. In any case, this system is unlikely to be the γ-ray source. Instead, we find a fainter variable X-ray and optical source, XMMU J083850.38−282756.8, that is modulated on a timescale of hours in addition to exhibiting occasional sharp flares. It resembles the black widow or redback pulsars that have been discovered as counterparts of Fermi sources, with the optical modulation due to heating of the photosphere of a low-mass companion star by, in this case, an as-yet undetected MSP. We propose XMMU J083850.38−282756.8 as the MSP counterpart of 3FGL J0838.8−2829.
General Model for Light Curves of Chromospherically Active Binary Stars∗
Authors: Jetsu L. , Henry G. W. , Lehtinen J.
Published: March 2017

The starspots on the surface of many chromospherically active binary stars concentrate on long-lived active longitudes separated by 180°. Shifts in activity between these two longitudes, the “flip-flop” events, have been observed in single stars like FK Comae and binary stars like σ Geminorum. Recently, interferometry has revealed that ellipticity may at least partly explain the flip-flop events in σ Geminorum. This idea was supported by the double-peaked shape of the long-term mean light curve of this star. Here we show that the long-term mean light curves of 14 chromospherically active binaries follow a general model that explains the connection between orbital motion, changes in starspot distribution, ellipticity, and flip-flop events. Surface differential rotation is probably weak in these stars, because the interference of two constant period waves may explain the observed light curve changes. These two constant periods are the active longitude period

and the orbital period

. We also show how to apply the same model to single stars, where only the value of P
act is known. Finally, we present a tentative interference hypothesis about the origin of magnetic fields in all spectral types of stars.
IC 630: Piercing the Veil of the Nuclear Gas
Authors: Durré Mark , Mould Jeremy , Schartmann Marc , Uddin Syed Ashraf , Cotter Garrett
Published: March 2017

IC 630 is a nearby early-type galaxy with a mass of

M
⊙ with an intense burst of recent (6 Myr) star formation (SF). It shows strong nebular emission lines, with radio and X-ray emission, which classifies it as an active galactic nucleus (AGN). With VLT-SINFONI and Gemini North-NIFS adaptive optics observations (plus supplementary ANU 2.3 m WiFeS optical IFU observations), the excitation diagnostics of the nebular emission species show no sign of standard AGN engine excitation; the stellar velocity dispersion also indicates that a supermassive black hole (if one is present) is small (

). The luminosity at all wavelengths is consistent with SF at a rate of about 1–2 M
⊙ yr−1. We measure gas outflows driven by SF at a rate of 0.18 M
⊙ yr−1 in a face-on truncated cone geometry. We also observe a nuclear cluster or disk and other clusters. Photoionization from young, hot stars is the main excitation mechanism for [Fe ii] and hydrogen, whereas shocks are responsible for the H2 excitation. Our observations are broadly comparable with simulations where a Toomre-unstable, self-gravitating gas disk triggers a burst of SF, peaking after about 30 Myr and possibly cycling with a period of about 200 Myr.
Time-dependent Models of Magnetospheric Accretion onto Young Stars
Authors: Robinson C. E. , Owen J. E. , Espaillat C. C. , Adams F. C.
Published: March 2017

Accretion onto Classical T Tauri stars is thought to take place through the action of magnetospheric processes, with gas in the inner disk being channeled onto the star’s surface by the stellar magnetic field lines. Young stars are known to accrete material in a time-variable manner, and the source of this variability remains an open problem, particularly on the shortest (∼day) timescales. Using one-dimensional time-dependent numerical simulations that follow the field line geometry, we find that for plausibly realistic young stars, steady-state transonic accretion occurs naturally in the absence of any other source of variability. However, we show that if the density in the inner disk varies smoothly in time with ∼day-long timescales (e.g., due to turbulence), this complication can lead to the development of shocks in the accretion column. These shocks propagate along the accretion column and ultimately hit the star, leading to rapid, large amplitude changes in the accretion rate. We argue that when these shocks hit the star, the observed time dependence will be a rapid increase in accretion luminosity, followed by a slower decline, and could be an explanation for some of the short-period variability observed in accreting young stars. Our one-dimensional approach bridges previous analytic work to more complicated multi-dimensional simulations and observations.
Progressive Multifocal Leukoencephalopathy due to John Cunningham (JC) virus following Allogeneic Haematopoietic Cell Transplantation
Authors: Lam Wilson , Al-Shaibani Zeyad , Kumar Deepali , Viswabandya Auro , Thyagu Santhosh , Michelis Fotios V , Kim Dennis (Dong-Hwan) , Lipton Jeffrey H , Messner Hans A , Deotare Uday
Published: March 2017

Progressive multifocal leukoencephalopathy (PML) is an uncommon infectious complication post allogeneic stem cell transplant. We present a case report of a patient developing this complication with a review of the current literature. It also describes the first use of artesunate in a clinical case of PML with no beneficial effect.
Single nucleotide polymorphisms of interleukins associated with hepatitis C virus infection in Egypt
Authors: Khalil Hany , Arfa Mohamed , El-Masrey Samir , EL-Sherbini Sherif M , Abd-Elaziz Amal A
Published: March 2017

Introduction: Hepatitis C is a liver disease caused by the hepatitis C virus (HCV). It can cause both acute and chronic hepatitis infection. Based on secretion of required cytokines upon infection, HCV can improve its own RNA and successfully complete the replication cycle. Importantly, single nucleotide polymorphisms (SNPs) are the most common type of genetic variation and have been found to play a critical role in modulation of cellular cytokine production and interaction. Methodology: A total of 100 blood samples were obtained from HCV patients, and 120 samples were obtained from healthy individuals who served as controls. SNPs of interleukin-10/592 (IL-10/592) and IL-4/589 were investigated for possible connection with HCV infection. Relative expression of IL-4, IL-6, and IL-10 were detected using real-time polymerase chain reaction and enzyme-linked immunosorbent assay Results: The polymorphisms of IL-10 revealed a high rate of mutant genotype CC within the location IL-10/592 in HCV patients and controls, which resulted in low secretion of IL-10. Interestingly, the findings here demonstrate a positive association between HCV load of viremia and the mutant genotype IL-4-589/TT accompanied with low expression IL-4 in comparison with IL-6 expression. Conclusions: These data suggest that the expression of IL-4 is inversely proportional to HCV load of viremia, and this connection is due to the high level of mutant genotype IL-4-589/TT in infected patients located in gene promoter and inhibits gene expression.
Impact of Accreditation Standards on the Quality of Continuing Nursing Education Activities as Perceived by the Learner
Authors: Novakovich Elaine M.
Published: March 2017

Background:

Continuing nursing education (CNE) activities are increasingly becoming a requirement for RNs to maintain licensure or certification and to remain competent in practice in the fast-changing health care environment. Regardless of the health care profession, continuing education should be a quality educational experience to positively influence practice and patient outcomes.

Method:

A 15-item matrix based on the 2013 American Nurses Credentialing Center Primary Accreditation criteria was used to evaluate CNE activities. The matrix reflected the characteristics that a learner should be able to identify when participating in a Web-based CNE activity.

Results:

A measurable learner-perceived difference was observed in the quality of the educational experience between educational activities developed by organizations using accreditation criteria, compared with those that did not.

Conclusion:

Learners can use accreditation criteria as one method to discriminate high-quality educational activities that are designed to positively influence practice and patient outcomes.

J Contin Educ Nurs.
2017;48(4):157–164.
Experience of Novice Clinical Adjunct Faculty: A Qualitative Study
Authors: Mann Carol , De Gagne Jennie C.
Published: March 2017

Background:

Despite the adjunct instructor's central role in the clinical training of nursing students, little research exists on the perspective of the clinical experts assuming this role. This qualitative study aimed to better understand how novice clinical adjunct faculty described their lived experiences in their significant role transition.

Method:

The sample consisted of nine novice adjunct clinical nursing faculty who provided direct clinical supervision of prelicensure students in the United States (i.e., Texas). The interview narratives were collected using an in-depth semi-structured approach. Conventional content analysis was used.

Results:

Four key themes emerged from the data: Unpreparedness; Facilitators and Barriers in the Transition; New Learning Needs and Processes; and Salient Recommendations to Pass On.

Conclusion:

Nursing programs that use adjunct faculty to sustain clinical education must support their vital contribution and fresh perspective. Targeted, organized, and consistent efforts will optimally integrate this group into the academe.

J Contin Nurs Educ.
2017;48(4):167–174.
Using Research Findings to Design an Evidence-Based Practice Curriculum
Authors: Burns Helen K. , Noonan Lois , Jenkins Deborah Poskus , Bernardo Lisa Marie
Published: March 2017

Evidence from a system-wide research study highlighted strengths and weaknesses in evidence-based practice (EBP) implementation, beliefs, and organizational readiness. To address this evidence, a curriculum was developed within the context of the shared governance and EBP models for nursing practice. The curriculum, Evidence-Based Practice: Clinical Applications in Professional Nursing Practice, consists of five modules that provide the knowledge, skills, and abilities relative to each step of EBP. The learning approach incorporates classroom- and unit-based education, facilitated by EBP curriculum mentors. Each module is rolled out quarterly for a 15-month curriculum cycle. Outcome data include pre- and post–learning assessments, in addition to EBP projects. This seamless approach to nursing education, based on research findings and established shared governance and EBP models, can be undertaken by community hospital systems.

J Contin Nurs Educ.
2017;48(4):184–189.
Exploring Discrepancies in Perceived Nursing Competence Between Postgraduate-Year Nurses and Their Preceptors
Authors: Chen Shu-Hwa , Chien Li-Yu , Kuo Mei-Ling , Li Yi-Hui , Chiang Ming-Chu , Liu Ya-Ching
Published: March 2017

Background:

Postgraduate clinical training programs improve the core competence of nurses. How postgraduate-year (PGY) nurses perceive their clinical competence and their preceptors' perceptions may affect program effectiveness. This study compared the perspectives of clinical competencies of PGY nurses engaged in a residency program in Taiwan with their preceptors' perspectives.

Method:

A cross-sectional study was conducted at a medical center in Taiwan. The Nursing Competence Questionnaire was used to obtain data from 99 pairs of PGY nurses and preceptors.

Results:

PGY nurses' scores were higher than their preceptors' for communication, patient education, and management competencies (
p
<.05). Preceptors with more years of clinical experience exhibited greater assessment discrepancies for clinical care, communication, patient education, research awareness, and overall competence (
p
<.05).

Conclusion:

Preceptor development courses should be grounded in a strong pedagogical framework. An assessment tool with explicit behavioral indicators would be needed for objective evaluation from both perspectives.

J Contin Educ Nurs.
2017;48(4):190–196.
Radiological Findings in Persistent Mí¼llerian Duct Syndrome: Case Report and Review of Literature
Authors: Alharbi Khalid N. , Khushaim Ayman O. , Alrasheed Mohannad , Akhtar Mohammed , Neimatallah Mohammed
Published: March 2017

This case involved a 36-year-old adult male who presented with an unusual inguinal hernia in which the uterus and fallopian tubes were identified as contents of the inguinal hernia sac. These findings reflected a rare autosomal recessive developmental syndrome known as PMDS (persistent Mí¼llerian duct syndrome). The diagnosis was established and confirmed via radiological-mainly MRI-investigation.
Hypovolemic Shock and Hemoperitoneum from Spontaneous Avulsion of a Large Pedunculated Uterine Leiomyoma
Authors: Mizrahi Daniel , Kaushik Chhavi , Adamo Robert
Published: March 2017

Hemoperitoneum with hypovolemic shock from avulsion of a pedunculated leiomyoma is a rare but highly fatal condition that can occur spontaneously or as a result of trauma. We report a case of hemoperitoneum and hypovolemic shock secondary to a bleeding leiomyoma detected via computed tomography (CT) scan in a 39 year old premenopausal, gravida 0 female that presented with abdominal pain and became hemodynamically unstable in the emergency department. A preoperative bimanual exam revealed a mass consistent with a 20 week gestational uterus. Following fluid resuscitation, the patient underwent emergent myomectomy and ligation of the right uterine artery and was discharged home in good condition.
Stercoral perforation of the rectum with faecal peritonitis and pneumatosis coli: A case Report
Authors: Kanwal Darakhshan , Attia Khaled Mostafa Elgharib , Fam Maged Nassef Abdalla , Khalil Safaa Maged Fathelbab , Alblooshi Abdalla Mousa
Published: March 2017

Colonic perforation due to impacted faeces or faecaloma is a relatively uncommon presentation with grave prognosis. If left untreated, it can be life threatening due to complications like faecal peritonitis. Till date, fewer than 150 cases have been reported mostly in the English surgical literature describing constipation as the most common underlying etiology. Involvement of rectum is rare with very limited data published in this context. We present a case of stercoral perforation involving the rectum with associated faecal peritonitis and pneumatosis coli.
Machines à copier
Authors: Shiga John
Published: March 2017

Malgré le grand nombre d’études sur le copyright musical, rares sont les travaux qui explorent de manière directe et approfondie le rôle du droit dans la régulation de la mémoire musicale. En considérant l’enregistrement sonore comme une technologie mémorielle, il s’agit de comprendre la manière dont les lois régissant le copyright tentent de gérer l’impact d’une telle technologie sur les concepts juridiques de mémoire musicale et de subjectivité auctoriale. L’article analyse la jurisprudence concernant la « cryptomnésie » ou le plagiat inconscient aux Etats-Unis et au Canada, c’est-à-dire des cas où la défense consiste à démontrer l’impossibilité d’un accès à l’œuvre originale et donc l’impossibilité de sa copie. Ces similitudes contestées font apparaître la dispersion de la mémoire et de la créativité dans un réseau hétérogène comprenant non seulement les compositeurs, les musiciens et les producteurs, mais aussi les institutions et les machines : le sujet auctorial des discours et des pratiques juridiques s’en trouve radicalement décentré. Les procès de la fin du XXe siècle sur le plagiat inconscient anticipent les récentes campagnes juridiques contre le remix en forme de mash-up, le partage de fichiers en peer-to-peer et les autres pratiques populaires de reproduction de la musique en ligne. Ils annoncent les préoccupations actuelles concernant les subjectivités des créateurs ou consommateurs lorsqu’elles se trouvent entrelacées avec des technologies numériques. Le copyright est le lieu de surveillance et de normalisation de certains modes d’écoute et de mémorisation des enregistrements sonores, afin de désamorcer les tensions inhérentes au champ de la reproduction musicale capitaliste.
Paysage endivisionné
Authors: Kaltenecker Martin
Published: March 2017

Cette contribution s’inscrit dans le cadre d’une aural history prenant en compte l’aspect sonore dans la reconstitution et l’interprétation des faits historiques. Il s’agit en l’occurrence d’interroger la phonosphère de la guerre qui offre de multiples angles d’attaque pour une histoire du sonore et de sa perception. L’écoute contribue à la maîtrise stratégique de l’espace qu’elle creuse et dont elle explore toutes les dimensions, comme on peut le voir en distinguant quatre situations typiques, selon la proximité de l’auditeur aux combats. Deux d’entre elles sont analysées ici, à partir de témoignages sur le siège de Paris en 1870-1871 et sur certaines expériences au front pendant la guerre de 1914-1918. On analyse successivement les déformations du paysage sonore, de ses découpages et limites habituels, puis les perturbations du sens de l’ouïe, suivies par des réactions de rejet et d’effroi. Cependant, l’exposition aux bruits signifie aussi une extension des capacités de la perception acoustique ou sonic skills, dont les limites sont reculées et dont les capacités de discernement sont accrues.
A Literature Review of the Emerging Field of IoT Using RFID and Its Applications in Supply Chain Management
Authors: Naskar Suvendu , Basu Preetam , Sen Anup K.
Published: March 2017

The Internet of Things (IoT) envisions an ecosystem where smart and interconnected objects can sense surrounding changes, communicate with each other, process information and take active roles in decision making. Optimizing supply chain performance is a primary concern of manufacturing and logistics organizations. Radio Frequency Identification (RFID) is helping organizations to build automated and interconnected smart environment by object identification and tracking, motivating the first step towards an IoT-enabled world. This chapter attempts to understand extant literature studying applications of RFID in implementing the IoT in supply chain management. We categorize extant literature, firstly, based on research methodology and secondly, based on supply chain processes. We find that presently academic activity is around conceptualizing the usability of RFID in the IoT with limited analytical and empirical evidence. Supply chain processes such as demand planning, procurement, retail shelf space management and product returns are prospective areas for interesting future research.
My Inversion Conversion
Authors: Speaks Erica L.
Published: March 2017

This chapter, authored by a 17-year veteran teacher, approaches flipped instruction using empirical evidence from experience and observation within the classroom. Included are perspectives from the author's students on flipped instruction, as well as advice on pragmatic issues, such as where to first start with flipping instruction and how to manage outside-of-school access issues for students. It explores the impact on both classroom instruction and student assessment. Suggestions are offered on how to approach traditional instructional tasks with the flipped method in mind. This chapter concludes with a flip-related glossary of technology terms and tools. Educational practitioners can extrapolate from this “in the trenches” perspective to inform and enhance their own circumstances with regard to flipped learning.
Quality of Business and Investment Environment
Authors: Aktas Huseyin , Karğin Mahmut , Kayalidere Koray , Güleç Tuna Can
Published: March 2017

This chapter aims to explain the effects of Business Environment policies on global investment decisions by analyzing the effects and results of environmental reforms of 5 Turkic countries between 2004-2014 period. World Bank's yearly Doing Business reports are interpreted and potential effects of Business Environment reforms are calculated using Reform Calculator tool provided. Chapter is critical for understanding the influence of business environment policy decisions on globalization and capital movements.
The Built-In Flexibility of Income and Consumption Taxes in OECD Countries
Authors: Yılmaz Binhan Elif , Ataer Sinan
Published: March 2017

Compatible with a variety of cyclical fluctuations in fiscal policy, is the automatic stabilising fiscal policies. There is a need to calculate the income elasticity of tax for relieving the effects of cyclical fluctuations. Income elasticity of tax, that is tax revenue have relative change, the ratio of the relative change in national income. This ratio must be bigger than 1 to label a tax system as elastic. If this ratio is bigger than 1, this situation also show the tax system has an automatic stabilizing feature. By that way, without any changes in tax structure, tax revenues increase in the deflation times and decrease in the inflation times. The automatically compensatory movement of tax revenues, generally referred to as “built-in flexibility”, has received increasing attention. The aim of this study is examining the existence of automatic stabilizers in the OECD countries by evaluating the income elasticity of income and consumption taxes and by making cross-countries comparatives.
The Relationship Between Stock Prices and Exchange Rates
Authors: Aydemir Oguzhan , Demirhan Banu
Published: March 2017

The relationship and causality between stock prices and exchange rates has preoccupied the minds of economists, investors and policy makers for a long time. However, the relationship or the direction of causality between these two variables still remains unresolved in both theory and empirics. This study examines panel Granger causality relationship between stock price and exchange rate for selected six MENA countries (Bahrain, Lebanon, Morocco, Pakistan, Qatar, and Saudi Arabia) over the period of 2005:01 and 2013:12. Panel DOLS and FMOLS methods are used to estimate long-run coefficients. On the other hand, panel based error-correction model is used to perform causality analysis. The findings of FMOLS and DOLS methods indicate that the appreciation of local currency in Bahrain, Lebanon, Morocco, Pakistan and Qatar leads to a reduction in stock prices. Contrary, in Saudi Arabia, the appreciation of local currency increases stock prices. Panel Granger causality analysis shows that there is a unidirectional causality from exchange rate to stock prices in MENA countries.
Past Failure, New Future
Authors: Günar Altuğ
Published: March 2017

This chapter provides a broad analysis of the EU's development strategies from Lisbon to EU 2020. The purpose of the chapter is to make a comparison among development strategies of the EU and to reach the answer of the question; if EU 2020 will be a new future for the EU? For this aim, the author focuses on three questions: what is the connection between the globalization and the EU? Has the EU answered to the challenges of globalization or post Fordist transformation with Lisbon Strategy? Lisbon Strategy which was reformed two times was a failure, what were the reasons of launching the EU 2020 strategy? The first one is related to the economic transformation of the world and economic decline of the EU during the 1980 to 2000s. The second one is related to the EU's structural weakness. The third one is related to the future of the EU.
Technology-Supported Inquiry in STEM Teacher Education
Authors: Milner-Bolotin Marina
Published: March 2017

The chapter describes the implementation of collaborative educational technologies in STEM teacher education to support teacher-candidates in acquiring inquiry-based teaching skills and positive attitudes about inquiry learning. The focus is on five different collaborative technology-enhanced pedagogies: (1) Peer Instruction, (2) collaborative design of conceptual questions with PeerWise, (3) data-driven STEM inquiry via using live data collection and analysis, (4) computer modeling-enhanced inquiry, and (5) collaborative reflection on peer teaching. Teacher-candidates experienced these pedagogical approaches first as learners, then reflected on them as future teachers, and lastly incorporated some of them during the practicum. As a result, teacher-candidates gained experience in promoting technology-enhanced inquiry in STEM education and began developing positive attitudes towards technology-enhanced inquiry-based STEM education.
Big Data in Higher Education
Authors: Vidal Marta , Vidal-García Javier , Barros Rafael Hernández
Published: March 2017

Big Data refers to large volumes of information – on diseases, ticket sales, and so on – that standard database tools such as MySQL and Oracle, cannot easily process. Thus, data analytics tools, such as InfoGram and Google Fusion Tables, are required to manage the information. The processed data is useful in several ways. For instance, public health officials may use the results of the analysis to explain the spread of viruses including the H1N1 virus (Mayer-Schönberger & Cukier, 2014, p. 2). Airplane companies may use the results to predict changes in ticket prices. Apart from the medical and aviation industries, institutions of higher learning also collect significantly large quantities of data. Hence, the analysis of Big Data also takes place in higher education. The beneficiaries of the analysis include students and administrators.
Banding Organization, Management, and Leadership Theories to Identify Managerial Strategies
Authors: Bowser Bessie Rean
Published: March 2017

This chapter considers the lack of knowledge by both non-profit and for-profit organizations in building business models and developing global managerial strategies; as well as, considers the need for organizations to understand open transformation of organizational structure with an autonomous mindset of each stakeholder and unification of the organizational system. The focus of perspectives points to what is needed to understand behavior stemming from the culture of the organization and what it takes to structure or restructure its culture to fit with the 21st century's demands and growing global perspectives. Explanations are given as to how some theories and disciplines need to band together to bring out deeper meanings of phenomena to address managerial and leadership strategies. There are six figures and one table highlighting developmental processes of successful organizational systems. These will be used as roadmaps in developing on-going constructs to navigate assessments, training, and transformation processes of an organization.
Evaluation of Theories and Information System Adoption Drivers in Government Organizations
Authors: Alcivar Nayeth Idalid Solorzano , Sanzogni Louis , Houghton Luke
Published: March 2017

The suitability of current Information System (IS) adoption models is anachronistic when uniformly applied across regions in developing economies, including Latin American (LAT) countries where the context varies from the accepted norm. From the premise that the major ingredients of adoption studies are drivers whose relationships are encapsulated into theoretical models, this chapter present a comprehensive Systematic Literature Review (SLR) process convergent towards the critical selection of reliable scholarly sources in order to identify empirically supported drivers of IS adoption successes and assesses their applicability in public organizations situated in LAT, as not for profit environments. Participants from Public Ecuadorian Organizations were sought out as a focus case to gather opinions and scrutinize identified drivers to demonstrate the depth of this problem. The study offers an overall comprehensive rationalization of proposed drivers, and the identified need for an adapted IS adoption theory for LAT contexts.
Online Disclosure of Social Responsibility Strategies
Authors: Alonso-Cañadas Juana , del Mar Gálvez-Rodríguez María , Caba-Pérez María del Carmen , Saraite Laura
Published: March 2017

Nonprofit organisations should be at the forefront in implementing corporate social responsibility in their actions and in disclosing these practices, not only to improve their image but also to enable access to corporate social responsibility information to be used as an effective instrument for continuous improvement. This chapter analyses perceptions of online transparency and web-usage as a means of online corporate social responsibility disclosure practices. Data is obtained from nonprofit case study analysis of Spanish Verdiblanca. The results reveal a contradiction between the corporate social responsibility information that is considered most important and actual practices of information disclosure. In particular, the information disclosure that is most highly valued concerns the social impact made by the organisation, compared to information on economics which is the most visible on the organisational webpage.
Social Impact Measurement and Management
Authors: Amati Tomaso , Arena Marika , Bengo Irene , Caloni Debora
Published: March 2017

This chapter aims to contribute to the debate about performance measurement and management in the social business sector through the analysis of the critical issues that arise in the implementation of impact assessment models in social business organizations. To this aim, the social impact measurement approaches, which are suggested in the literature, are analyzed and the strengths and weaknesses of different frameworks are highlighted. Then, the critical issues that could emerge in the implementation of social impact assessment practices are identified and discussed base on the case of an Italian social enterprise working in the education field, Cometa. Finally, the paper provides some guidelines and recommendations aimed to mitigate these critical issues.
Strategic Uncertainty in the Guessing Game and the Role and Effects of a Public Common Noise Player
Authors: Kasahara Tetsuya
Published: March 2017

Guessing games are often used in the behavioral economics literature to investigate the rationality of economic agents. In this paper, the author uses a typical guessing game to examine not only the rationality of the test subjects but also the degree of their strategic uncertainty in playing the guessing game. A typically negative relationship was found between the frequency and the degree of strategic uncertainty, measured by proxy using the test subjects' guesses as to the standard deviation of all test subjects' answers regarding selection of a number from a specified interval. The role and effects of a public common noise player in the guessing game were investigated, which showed that the existence of such a player, even when he/she is not rational, can decrease the variance of the answered values and the degree of strategic uncertainty. These findings imply that the existence of a public common noisy player who is not necessarily rational can provide an anchoring focal point in the guessing game under uncertainty and that this player can be an influential coordinator. This implication would be useful in explaining possible bubbles or booms/bursts, collective short sales such as currency attacks in markets, or other real-world economic and business anomalies.
Bankruptcy Modelling of Indian Public Sector Banks
Authors: Ghosh Bikramaditya
Published: March 2017

The paper estimates earnings per share (EPS) of top three Indian public sector banks on the basis of Ohlson O score, Zmijewski score and Graham Number, for a period of 12 years (2004-2015), with the help of the generalized method of moments (GMM), along with the use of an artificial neural network (ANN) algorithm. The time period has been carefully selected so that it could capture crash and consolidation phase, along with unprecedented bull rally too. It has been found that the fitment of ANN based model is accurate. Thus, using this model, their future EPS during distress could be predicted with a higher degree of precision. The authors believe this to illustrate a clear trace of the availability heuristic, timid choice, bold forecast and herding, as bulk deals by institutional investors decide the feat of a stock even on the futuristic possibility of bankruptcy.
Braided Routing Technique to Balance Traffic Load in Wireless Sensor Networks
Authors: Demertzis Apostolos , Oikonomou Konstantinos
Published: March 2017

Many-to-one wireless sensor networks suffer from an extreme variation of traffic load between nodes. Sensor nodes near the sink consume much more energy than distant ones, resulting in the energy hole problem (global variation of load). In addition, even nodes located at the same distance from the sink experience very different traffic load with each other (local variation). This uneven distribution of traffic load, both globally and locally, results in a severe shortening of the time until first node runs out of battery. This work focuses on balancing the load of equally-distant nodes from the sink by sharing each one's load among its next-hop neighbors. Eventually, packets are travelling from node to sink by following interlaced paths. The proposed routing mechanism, called braided routing, is a simple one and can be applied over any cost-based routing, incurring a negligible overhead. Simulation results show that the local variance of load is reduced nearly 20-60% on average while the time until first death can be prolonged more than twice in many cases and the lifetime about 15%.
Application of Artificial Neural Networks to Reliable Nuclear Data for Nonproliferation Modeling and Simulation
Authors: Lagari Pola Lydia , Sobes Vladimir , Alamaniotis Miltiadis , Tsoukalas Lefteri H.
Published: March 2017

Detection and identification of special nuclear materials (SNMs) are an essential part of the US nonproliferation effort. Modern cutting-edge SNM detection methodologies rely more and more on modeling and simulation techniques. Experiments with radiological samples in realistic configurations, is the ultimate tool that establishes the minimum detection limits of SNMs in a host of different geometries. Modern modeling and simulation approaches have the potential to significantly reduce the number of experiments with radioactive sources needed to determine these detection limits and reduce the financial barrier to SNM detection. Unreliable nuclear data is one of the principal causes of uncertainty in modeling and simulating nuclear systems. In particular, nuclear cross sections introduce a significant uncertainty in the nuclear data. The goal of this research is to develop a methodology that will autonomously extract the correct nuclear resonance characteristics of experimental data in a reliable way, a task previously left to expert judgement. Accurate nuclear data will in turn allow contemporary modeling and simulation to become far more reliable, de-escalating the extent of experimental testing. Consequently, modeling and simulation techniques reduce the use and distribution of radiological sources, while at the same time increase the reliability of the currently used methods for the detection and identification of SNMs.
Follow Me
Authors: Keep Melanie , Amon Krestina L
Published: March 2017

Recent research suggests that the relationship between personality and Facebook use is mediated by the need for belonging and self-presentation. It is uncertain, however, whether these relationships also hold for other social networking sites (SNSs), for example, Instagram. This image-sharing platform provides a unique opportunity for fulfilling belonging and self-presentation needs. The online survey was completed by 404 participants (80% female, age range 18-63 years, Median = 21 years). As hypothesised, personality (extraversion and agreeableness) predicted belonging behaviours (liking, commenting, and tagging others), and extraversion and neuroticism predicted self-presentation behaviours (likelihood of posting on particular days, and at specific times of day) on Instagram. Stranger connections moderated the relationship between agreeableness and commenting behaviours. Findings highlight the need to explore SNSs beyond Facebook and consider the role of audience and personality on SNS behaviours.
Myoepithelial Carcinoma of the Paracecal Mesentery: Aggressive Behavior of a Rare Neoplasm at an Unusual Anatomic Site
Authors: Thway Khin , Noujaim Jonathan , Thomas D. Michael , Fisher Cyril , Jones Robin L.
Published: March 2017

Myoepithelial tumors of the soft tissues represent a rare group of neoplasms that vary in their clinical behavior, pathologic features and genetics. They are histopathologically typified by a myoepithelial immunohistochemical phenotype, of expression of one or more epithelial markers, S100 protein and smooth muscle actin. Because of their rarity and occurrence over a wide age range and at a variety of anatomic sites, they can be difficult to diagnose due to the lack of familiarity by physicians, which is compounded by their spectrum of histologic features and morphologic overlap with several other neoplasms. Recent genetic insights have aided classification, and it is increasingly understood that soft tissue myoepithelial neoplasms can be stratified into two distinct morphologic and genetic subgroups. We describe a case of a 44-year-old man who was diagnosed with a primary myoepithelial neoplasm of the paracecal mesentery, which showed aggressive local recurrence after four years. The tumor was composed of cords of ovoid cells within chondromyxoid stroma, and displayed a characteristic pancytokeratin, S100 protein and smooth muscle actin-positive myoepithelial immunoprofile. Primary myoepithelioma has not been previously described at this site, and this case highlights this varied family of tumors, emphasizes the need to consider myoepithelial tumor in the differential diagnoses of carcinoma variants occurring in the bowel or mesentery, and also adds to the number of reported myoepithelial neoplasms showing markedly aggressive behavior.