bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lessons from adopting a maker approach to teaching operating systems with Raspberry Pi
Authors: Wong Wing-Kwong 
Published: July 2018

Purpose
This paper aims to propose a maker’s approach to teaching an operating systems (OSs) course in which students apply knowledge of OSs to making a toy robot by focusing on input/outputs, hardware devices and system programming.

Design/methodology/approach
Classroom action research is involved in this study.

Findings
After the course was taught in this maker’s approach in two consecutive school years, some observations were reported. Students were enthusiastic in doing a series of assignments leading to the completion of a toy robot that follows a black line on the ground. In addition to enjoying the learning process by making tangible products, the students were excited to be able to demonstrate the skills and knowledge they learned with the robots they made.

Research limitations/implications
The research results were based mainly on the instructor’s observations during the lectures and labs.

Practical implications
Lessons from this study can inspire other instructors to turn traditional engineering courses into maker courses to attract students who enjoy making. Industry should welcome engineering graduates to join the companies with more hands-on experiences they have gained from maker courses.

Social implications
Although the maker movement has attracted much attention in K12 education, there is little research that studies how this maker spirit can be incorporated in traditional engineering courses that focus mainly on theories or software.

Originality/value
Including electronics and mechanical components in programming assignments would bring surprising effects on students’ motivation in learning.
Consumer demand for and effects of tax on sparkling and non-sparkling bottled water in the United States
Authors: Zheng Wen , Dharmasena Senarath , Capps Jr Oral , Janakiraman Ramkumar 
Published: July 2018

PurposeThe purpose of this paper is to investigate the factors affecting consumer demand for and the effects on tax on sparkling and non-sparkling bottled water in the USA.Design/methodology/approachUsing nationally representative data from 62,092 households and tobit econometric procedure, conditional and unconditional factors affecting the demand for sparkling and non-sparkling bottled water were estimated.FindingsThe own-price elasticity of demand for sparkling and non-sparkling bottled water is −0.664 and −0.229, respectively. Coffee, fruit drinks, whole milk and tea are substitutes for non-sparking bottled water. Non-sparking bottled water, coffee, fruit drinks and whole milk are substitutes for sparking bottled water. Household income, race, region and presence of children significantly affect the demand for bottled water. A 10 percent increase in price due to a tax on bottled water decreased plastic use by 50 grams per household per year. This is equivalent to saving 9.5m pounds of plastic annually.Research limitations/implicationsData used in this analysis only captured at-home consumption of bottled water by US households. While tax on bottled water may reduce the consumption of bottled water, it may increase the consumption of competitive beverages such as carbonated soft drinks or fruit drinks. Although the use of plastic with regards to water bottles may go down as a result of the tax, the plastic consumption could go up with regards to consumers’ increased purchase of other beverages. This might contribute net increase plastic bottle consumption, undermining the effects of a bottled water tax.Originality/valueTo the best of the authors’ knowledge, this study is the first to look at demand and tax aspects with regards to disaggregated bottled water products.
2017-2018 SEC whistleblowing review: insights and trends
Authors: Meshulam Deborah , Ramos Louis , Klein Benjamin 
Published: July 2018

Purpose
The purpose of this review is to unpack 2017-2018 US Securities and Exchange Commission (SEC) whistleblower developments and trends.

Design/methodology/approach
This paper draws on statistics in the SEC’s 2017 Annual Report to Congress on the Whistleblower Program and examines post-report SEC whistleblower activity, including three SEC whistleblower awards in March 2018 totaling $80 million+.

Findings
Several notable whistleblowing developments and trends have emerged in recent years, including an increase in total tips; an increase in international tips; higher-value awards, including multiple awards in excess of $20m; and interest in punishing companies that discourage and/or retaliate against whistleblowers. In addition, the SEC recently issued its first-ever award under the Exchange Act’s “safe harbor” provision.

Originality/value
This paper contains valuable insights about the activities and priorities of the SEC Office of the Whistleblower from experienced securities and white-collar-litigation lawyers.
AML and politically exposed persons: “good practice” recommendations from the Bank of Italy for policies and procedures to be implemented
Authors: Falco Francesco 
Published: July 2018

Purpose
The purpose of this paper is to provide guidelines and inputs for the implementation of policies and procedures governing transactions and business relationships with politically exposed persons (PEPs) under the anti-money laundering (AML) legal framework.

Design/methodology/approach
This paper reviews AML PEPs’ regime in the perspective of the European Union Directive (EU) 2015/849 of May 20, 2015; the Italian Legislative Decree no. 231 of November 21, 2007; and the “good practice” recommendations issued by the Bank of Italy. In particular, it provides an overview of EU and Italian legislation in connection with PEPs and describes “good practice” recommendations provided by the Bank of Italy to implement policies and procedures to properly perform transactions with PEPs and comply with AML legislation.

Findings
Bank of Italy’s “good practice” recommendations are an important tool for credit and financial institutions managing transactions and business relationships with high-risk counterparties such as PEPs. They shall help determine how to properly implement policies and procedures for an enhanced identification and verification of PEPs.

Originality/value
This paper provides useful information on how to draft policies and procedures in order to be compliant with AML legislation related to PEPs.
Methodological roadmapping: a study of centering resonance analysis
Authors: Freitas Jonathan Simões , Ferreira Jéssica Castilho Andrade , Campos André Azevedo Rennó , Melo Júlio Cézar Fonseca de , Cheng Lin Chih , Gonçalves Carlos Alberto 
Published: June 2018

Purpose
This paper aims to map the creation and evolution of centering resonance analysis (CRA). This method was an innovative approach developed to conduct textual content analysis in a semi-automatic, theory-informed and analytically rigorous way. Nevertheless, despite its robust procedures to analyze documents and interviews, CRA is still broadly unknown and scarcely used in management research.

Design/methodology/approach
To track CRA’s development, the roadmapping approach was properly adapted. The traditional time-based multi-layered map format was customized to depict, graphically, the results obtained from a systematic literature review of the main CRA publications.

Findings
In total, 19 papers were reviewed, from the method’s introduction in 2002 to its last tracked methodological development. In all, 26 types of CRA analysis were identified and grouped in five categories. The most innovative procedures in each group were discussed and exemplified. Finally, a CRA methodological roadmap was presented, including a layered typology of the publications, in terms of their focus and innovativeness; the number of analysis conducted in each publication; references for further CRA development; a segmentation and description of the main publication periods; main turning points; citation-based relationships; and four possible future scenarios for CRA as a method.

Originality/value
This paper offers a unique and comprehensive review of CRA’s development, favoring its broader use in management research. In addition, it develops an adapted version of the roadmapping approach, customized for mapping methodological innovations over time.
Thoracoscopic resection for mediastinal thymolipoma in a child
Authors: Furukawa Taizo , Sakai Kohei , Higashi Mayumi , Fumino Shigehisa , Aoi Shigeyoshi , Tajiri Tatsuro 
Published: July 2018

AbstractThymolipoma is a rare disease among benign tumors. We herein report the case of a child who underwent thoracoscopic resection of a large thymolipoma. A 3‐year‐old boy was diagnosed with an anterior mediastinal solid tumor. Thoracic imaging revealed a fat density mass that was 8.0 × 5.0 × 3.5 cm in size. Given the MRI findings of the tumor, we suspected that the lesion was a teratoma. We decided to perform thoracoscopic exploration and, if possible, resection of the solid tumor sequentially. We successfully resected the tumor thoracoscopically. A histological examination revealed thymolipoma. For large mediastinal tumors in the intrathoracic space in children, the thoracoscopic approach is recommended when the tumor is preoperatively considered to be benign and resectable.
Four‐directional approach to the meso‐transverse attachment combined with preoperative radiological vascular simulation facilitates short‐term surgical outcomes in laparoscopic transverse colon cancer surgery
Authors: Koinuma Koji , Horie Hisanaga , Ito Homare , Naoi Daishi , Sadatomo Ai , Tahara Makiko , Inoue Yoshiyuki , Kono Yoshihiko , Sasaki Takahiro , Sugimoto Hideharu , Lefor Alan Kawarai , Sata Naohiro 
Published: July 2018

AbstractIntroductionTransverse colon resection is one of the most difficult laparoscopic procedures because of anatomic hazards such as variations in the mesenteric vascular anatomy and the complex structure of organs and surrounding membranes.MethodsWe evaluated the short‐term surgical outcomes of laparoscopic transverse colon resection using a creative approach. This approach included preoperative surgical simulation using virtual surgical anatomy by CT, a four‐directional approach to the mesentery, and 3‐D imaging during laparoscopic surgery.ResultsA total of 45 consecutive patients who underwent laparoscopic resection for transverse colon cancer from June 2013 to December 2017 were enrolled in this study. All procedures were completed safely, with minor postoperative complications, including two patients with anastomotic stenosis, two with intra‐abdominal phlegmon, one with delayed gastric emptying, and one with pneumonia, all treated non‐operatively. There were no conversions to open resection. Operation time was 203 min (range, 125–322 min), and the estimated blood loss during surgery was 5 mL (range, 0–370 mL). The mean postoperative hospital stay was 10 days (range, 7–21 days), and no patients required readmission.ConclusionShort‐term surgical outcomes after laparoscopic transverse colon resection demonstrated that this creative approach was safe and feasible. The four‐directional approach to the meso‐transverse attachment combined with preoperative radiological simulation can facilitate laparoscopic transverse colon surgery.
Learning as Making: Using 3D computer‐aided design to enhance the learning of shape and space in STEM‐integrated ways
Authors: Ng Oi‐Lam , Chan To 
Published: July 2018

AbstractThe recent and popular “Maker” movement worldwide has revived conversations about creativity, hands‐on “Making,” arts and design, humans with tools and digital experiences beyond the flat‐screen. However, such conversation mainly revolved outside the realm of formal education. This article presents two learning tasks, one in upper primary (age 10–11) and one in lower secondary (age 12–13), which integrate “Making” and 3D computer‐aided design (CAD), thereby facilitating Science, Technology, Engineering, and Mathematics (STEM) learning in mathematics classrooms. By adopting a design‐based research methodology, we examine students' mathematics learning with respect to dissecting and forming 2D shapes and volume of composite solids with the use of 3D CAD and the kinds of integrated STEM learning practices they demonstrated in the activities. Qualitative data were collected in the form of videos of the students' communication and screenshots of their initial and final designs as they engaged with the 3D CAD environment, as well as students' written reflections and teachers' lesson analysis. Results showed that the students used 3D CAD to develop spatial skills and to achieve mathematics learning far beyond using formulae and performing procedures. The learning activities also enabled an integrated STEM learning experience in productive and unobtrusive ways.
A study of the facilitation of cross‐cultural understanding and intercultural sensitivity using speech‐enabled language translation technology
Authors: Shadiev Rustam , Sun Ai , Huang Yueh‐Min 
Published: July 2018

AbstractWe proposed speech‐enabled language translation (SELT) technology that consists of speech‐to‐text recognition (STR) and computer‐aided‐translation (CAT) systems to support intercultural communication. When the participants spoke in their native languages, the STR system generated texts from their voice input, and the CAT system translated the STR‐generated texts in foreign languages into English. We aimed to investigate whether our approach would be useful to facilitate cross‐cultural understanding and the intercultural sensitivity of the participants. Our results demonstrated that cross‐cultural learning literally took place during the learning activity and that the intercultural sensitivity of the participants improved. Furthermore, low intelligibility and accuracy rates were obtained for Mongolian, Filipino, Hindi, Mandarin, and Vietnamese, while high intelligibility and accuracy rates were obtained for Spanish, Russian and French during the SELT process. Finally, our results showed that the students highly valued the application of SELT as support for the cross‐cultural learning activity due to its ease of use, its ability to enable access to authentic content, and the collaboration that occurred among the participants. Based on our results, we provide some implications and useful suggestions to educators and researchers.
Visualization of Neural Network Predictions for Weather Forecasting
Authors: Roesch Isabelle , Günther Tobias 
Published: June 2018

AbstractRecurrent neural networks are prime candidates for learning evolutions in multi‐dimensional time series data. The performance of such a network is judged by the loss function, which is aggregated into a scalar value that decreases during training. Observing only this number hides the variation that occurs within the typically large training and testing data sets. Understanding these variations is of highest importance to adjust network hyper‐parameters, such as the number of neurons, number of layers or to adjust the training set to include more representative examples. In this paper, we design a comprehensive and interactive system that allows users to study the output of recurrent neural networks on both the complete training data and testing data. We follow a coarse‐to‐fine strategy, providing overviews of annual, monthly and daily patterns in the time series and directly support a comparison of different hyper‐parameter settings. We applied our method to a recurrent convolutional neural network that was trained and tested on 25 years of climate data to forecast meteorological attributes, such as temperature, pressure and wind velocity. We further visualize the quality of the forecasting models, when applied to various locations on the Earth and we examine the combination of several forecasting models.
Regulation of hepatic glucose production and AMPK by AICAR but not by metformin depends on drug uptake through the equilibrative nucleoside transporter 1 (ENT1)
Authors: Logie Lisa , Lees Zoe , Allwood J. William , McDougall Gordon , Beall Craig , Rena Graham 
Published: July 2018

AimRecently we have observed differences in the ability of metformin and AICAR to repress glucose production from hepatocytes using 8CPT‐cAMP. Previous results indicate that, in addition to activating protein kinase A, 8CPT‐modified cAMP analogues suppress the nitrobenzylthioinosine (NBMPR)‐sensitive equilibrative nucleoside transporter ENT1. We aimed to exploit 8CPT‐cAMP, 8CPT‐2‐Methyl‐O‐cAMP and NBMPR, which is highly selective for a high‐affinity binding‐site on ENT1, to investigate the role of ENT1 in the liver‐specific glucose‐lowering properties of AICAR and metformin.MethodsPrimary mouse hepatocytes were incubated with AICAR and metformin in combination with cAMP analogues, glucagon, forskolin and NBMPR. Hepatocyte glucose production (HGP) and AMPK signalling were measured, and a uridine uptake assay with supporting LC‐MS was used to investigate nucleoside depletion from medium by cells.ResultsAICAR and metformin increased AMPK pathway phosphorylation and decreased HGP induced by dibutyryl cAMP and glucagon. HGP was also induced by 8CPT‐cAMP, 8CPT‐2‐Methyl‐O‐cAMP and NBMPR; however, in each case this was resistant to suppression by AICAR but not by metformin. Cross‐validation of tracer and mass spectrometry studies indicates that 8CPT‐cAMP, 8CPT‐2‐Methyl‐O‐cAMP and NBMPR inhibited the effects of AICAR, at least in part, by impeding its uptake into hepatocytes.ConclusionsWe report for the first time that suppression of ENT1 induces HGP. ENT1 inhibition also impedes uptake and the effects of AICAR, but not metformin, on HGP. Further investigation of nucleoside transport may illuminate a better understanding of how metformin and AICAR each regulate HGP.
Game‐theoretic approach for the optimal configuration computing of an interoperable fleet of unmanned vehicles
Authors: Gigante Gabriella , Pascarella Domenico , Luongo Salvatore , Di Benedetto Carlo , Vozella Angela , Persechino Giuseppe 
Published: July 2018

AbstractThis paper investigates the problem of fleet configuration for a set of unmanned vehicles. Without the need of on‐board pilots, unmanned vehicles have proven to accomplish different types of missions both in military and civil domain. In addition, a multi‐vehicle fleet is able to guarantee better performances and minimum costs, as long as they are coordinated. In futuristic scenarios, it is conceivable to quickly identify the best team of unmanned vehicles to perform a given mission by considering all the appropriate means made available. Thus, the problem to guarantee the better platform configuration becomes identifying the best fleet. This work proposes a possible approach to process the best fleet of unmanned vehicles to perform an envelope of missions, by transforming the fleet configuration activity in an optimization problem under some basic hypotheses. The optimality of the fleet is meant with respect to the needed costs, which have to be minimized. The addressed concept envisages a distributed and decentralized planning to achieve a proper level of interoperability among different organizations that are involved in the fleet provision. The paper presents the formal definition of the problem and a game‐theoretic solution. In the end, preliminary simulation results are discussed.
Assessment of sainfoin (Onobrychis viciifolia Scop.) germplasm for agro‐morphological traits and nutritive value
Authors: Bhattarai Surendra , Coulman Bruce , Beattie Aaron D. , Biligetu Bill 
Published: July 2018

AbstractSainfoin (Onobrychis viciifolia Scop.) is a bloat‐free, perennial forage legume adapted to the northern temperate regions of the world. This study was carried out to evaluate phenotypic variation and nutritive value of 38 sainfoin accessions from 21 different countries. A field trial was established in 2014 using a randomized complete block design with four replications near Saskatoon, Canada, with data collected in 2015 and 2016. Analysis of variance revealed significant (p < 0.05) differences among sainfoin accessions for winter survival, dry‐matter (DM) yield, regrowth per seed yield plant, 1,000‐seed weight, plant height, growth rate, spring vigour, days to flower, stem number, crude protein (CP), neutral detergent fibre (NDF) and acid detergent fibre (ADF). Dry‐matter yield of sainfoin accessions ranged from 74 to 239 g/plant, plant height ranged from 37 to 70 cm, winter survival ranged from 20% to 94%, and seed yield ranged from 5 to 64 g/plant. Sainfoin accessions from North America produced the highest DM yield. Dry‐matter yield was positively correlated with plant height (r = 0.82), stem number (r = 0.75), growth rate (r = 0.72), spring vigour (r = 0.43), regrowth (r = 0.30), 1,000‐seed weight (r = 0.29), NDF (r = 0.71) and ADF (r = 0.74). Dry‐matter yield was negatively correlated with days to flower (r = −0.57) and CP concentration (r = −0.62). Sainfoin accessions were grouped into three main groups according to their agro‐morphological traits and nutritive value. Several promising sainfoin accessions have been identified to select for high forage yield and high winter survival in the cold climatic zone of temperate grassland.
The Pricing Kernel Puzzle: A Real Phenomenon or a Statistical Artifact?
Authors: Siddiqi Hammad , Anwar Sajid 
Published: July 2018

AbstractA large literature finds evidence that the pricing kernels estimated from option prices and historical returns are not monotonically decreasing in market returns. We show that the inevitable coalescence of contingencies, especially in the left‐tail, associated with estimating a distribution function may give rise to a nonmonotonic empirical pricing kernel even if the actual pricing kernel is monotonic. Hence, the observed nonmonotonicity of pricing kernels may be a statistical artifact rather than a real phenomenon. We argue that empirical work should explicitly correct for this effect by widening the option pricing bounds associated with monotonic pricing kernels.
Feasibility of concomitant vacuum‐assisted removal of lead‐related vegetations and cardiac implantable electronic device extraction
Authors: Godara Hemant , Jia Kelly Qi , Augostini Ralph S. , Houmsse Mahmoud , Okabe Toshimasa , Hummel John D. , Weiss Raul , Kalbfleisch Steven J. , Afzal Muhammad R. , Badin Auroa , Cavalcanti Rafael , Franco Diego Alcivar , Tyler Jaret , Daoud Emile G. 
Published: July 2018

AbstractBackgroundCardiac implantable electronic device (CIED) infections associated with large, mobile vegetation adds to the complexity of lead extraction and is associated with significant patient morbidity and mortality.ObjectiveTo show the feasibility of concomitant cardiovascular implantable electronic device extraction and vacuum‐assisted removal of lead‐related vegetations.MethodsThis is a single‐center retrospective case series of consecutive patients with persistent bacteremia, sepsis, or endocarditis despite medical therapy who have vegetations >2 cm and subsequently underwent immediate CIED lead extraction after debulking with vacuum‐assisted suction.ResultsEight patients underwent successful removal of 17 leads immediately after debulking of vegetations with vacuum‐assisted device suction. Debulking procedure was not successful in 1 patient due to inability to direct the vacuum suction device into proper position. There were no intraprocedure complications related to the vacuum‐assisted debulking. One patient required open sternotomy for tear of the coronary sinus ostium related to extraction of a left ventricular pacing electrode. There was no mortality within 30 days of the procedure.ConclusionsBased upon these clinical results, it is feasible for patients with infected CIED systems that have large right‐sided vegetations to undergo vacuum‐assisted debulking then immediately followed by percutaneous CIED removal in whom surgical removal is considered high risk.