bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assistive technologies in libraries and the classroom
Authors: Oyelude Adetoun A. 
Published: October 2017

Purpose
This paper aims to review the literature on assistive technologies used in libraries and in schools, as portrayed on blogs, wikis and the internet, of the past year to highlight new trends.

Design/methodology/approach
Reports from blogs, internet sources and databases of the past year on the topic were read by dealing with practical examples of assistive technologies in libraries and the education sector.

Findings
Assistive technologies are used to aid persons with disabilities to make them more productive. The technologies can be either low- or high-tech, depending on the use as well as on information on new improvements and augmentative technologies being employed.

Originality/value
This paper presents an overview of the past year and the current trends in the use of assistive technologies in libraries and schools worldwide.
Learning strategies for a changing workforce
Authors: Hoyle Robin 
Published: October 2017

Purpose
The purpose of this viewpoint is to highlight the generational difference in the workplace and how blanket learning strategies no longer work.

Design/methodology/approach
Working with four generations of the same family may be only a mathematical possibility in real life, as the generations usually defined when discussing workplace age diversity relate to demographic categories. However, these categories are much loved by marketers and those who favour broad stereotypes over a more thoughtful understanding of differing needs, characteristics and aspirations.

Findings
The authors cannot define what will work on the basis of generational generalisations. Understanding the “three justs” requires them to understand their learners as individuals who want to do their job to the best of their abilities.

Originality/value
Exclusive commentary and angle by Robin Hoyle, Head of Learning Innovation at Huthwaite International, which – having trained 30 of the FTSE 100 companies – is one of the world’s leading sales and negotiation training providers.
Employee training strategies for today’s workforce
Authors: Solis Rafael 
Published: October 2017

Purpose
The purpose of this paper is to look into how effective new learning methods are in today’s workforce. The traditional learning styles are no longer optimal; it is important that companies look ahead and adapt to new training styles.

Design/methodology/approach
The team at Braidio has over 20 years of technical, operations and start-up experience in the internet, wireless and security industries. Over the years they have noticed these shifts in learning technology as it moves from more traditional methods to a more social experience.

Findings
To effectively train existing and new employees, companies must adapt to the technological and generational changes that are impacting the modern workforce. Mobile and social learning are becoming more prominent as these types of media are more easily digested by the growing millennial population.

Originality/value
Braidio is the first company to adapt to this new model of learning and has been able to provide a unique solution that can be built directly into a company's workflow. The modern workforce will continue to evolve, and the companies that are ahead of the curve will end up benefiting the most in the long run.
Wood bonding strength sensitivity estimation and power consumption prediction in wood machining process by artificial intelligence methods
Authors: Jovic Srdjan , Golubovic Zoran , Stojanovic Jovan 
Published: October 2017

Purpose
The paper aims to present an investigation of wood bonding strength as a very important indicator for effective using in further manufacturing processes.

Design/methodology/approach
In this study, the wood bonding strength sensitivity was estimated based on grain orientation, feed speed, heating time and temperature, temperature and type of adhesive. Artificial intelligence methods were applied for this analysis because it is strongly a nonlinear process.

Findings
It was shown that the artificial intelligence tools could be useful, reliable and effective for the wood bonding strength sensitivity estimation. Afterwards the power consumption in in solid wood machining process is analyzed and estimated by the artificial intelligence tools.

Originality/value
Results shown that the wood bonding strength is the most sensitive for type of adhesive. Thus, the results of the present research can be successfully applied in the wood industry to reduce the time, energy and high experimental costs.
Another Post‐heroic View on Entrepreneurship: The Role of Employees in Networking the Start‐up Process
Authors: Braun Timo , Ferreira Aristides I. , Schmidt Thomas , Sydow Jörg 
Published: October 2017

AbstractMoving beyond the present post‐heroic perspective known from leadership and entrepreneurship research that emphasizes the importance of external context, we shift the focus from the entrepreneurial luminary and his or her core team to the entrepreneurial firm as an organization with employees. This organizational view captures the vital role of employees, in particular for deepening the external relationships of the firm. Towards this end, the authors investigate how three antecedents increase the organizational innovativeness of start‐ups: (i) the external relationships of the start‐up; (ii) the initiation and maintenance of such relationships through networking by entrepreneurs and employees; and (iii) the differentiation of hierarchical levels in this process. A survey‐based study drawing from the data of 96 entrepreneurs and 228 employees in start‐ups is conducted. To analyse the data, the authors tested the conditional indirect effects through a multilevel moderated mediation analysis. According to the results, interorganizational relationships (IORs) are particularly effective for entrepreneurial innovativeness if networking practices are pursued at the employee level. The collective involvement of employees in fact has a mediation effect compared with the individual efforts developed by the entrepreneur. These findings advance the post‐heroic perspective by emphasizing the distinctive role of employees in the utilization of IORs.
Effects of Early Dual‐Eligible Special Needs Plans on Health Expenditure
Authors: Zhang Yongkang , Diana Mark L. 
Published: October 2017

ObjectiveTo examine the effects of the penetration of dual‐eligible special needs plans (D‐SNPs) on health care spending.Data Sources/Study SettingSecondary state‐level panel data from Medicare‐Medicaid Linked Enrollee Analytic Data Source (MMLEADS) public use file and Special Needs Plan Comprehensive Reports, Area Health Resource Files, and Medicaid Managed Care Enrollment Report between 2007 and 2011.Study DesignA difference‐in‐difference strategy that adjusts for dual‐eligibles’ demographic and socioeconomic characteristics, state health resources, beneficiaries’ health risk factors, Medicare/Medicaid enrollment, and state‐ and year‐fixed effects.Data Collection/Extraction MethodsData from MMLEADS were summarized from Centers for Medicare and Medicaid Services (CMS)'s Chronic Conditions Data Warehouse, which contains 100 percent of Medicare enrollment data, claims for beneficiaries who are enrolled in the fee‐for‐service (FFS) program, and Medicaid Analytic Extract files. The MMLEADS public use file also includes payment information for managed care. Data in Special Needs Plan Comprehensive Reports were from CMS's Health Plan Management System.Principal FindingsResults indicate that D‐SNPs penetration was associated with reduced Medicare spending per dual‐eligible beneficiary. Specifically, a 1 percent increase in D‐SNPs penetration was associated with 0.2 percent reduction in Medicare spending per beneficiary. We found no association between D‐SNPs penetration and Medicaid or total spending.ConclusionInvolving Medicaid services in D‐SNPs may be crucial to improve coordination between Medicare and Medicaid programs and control Medicaid spending among dual‐eligible beneficiaries. Starting from 2013, D‐SNPs were mandated to have contracts with state Medicaid agencies. This change may introduce new effects of D‐SNPs on health care spending. More research is needed to examine the impact of D‐SNPs on dual‐eligible spending.
Clinical benefit and residual kidney function of en bloc nephrectomy for perirenal retroperitoneal sarcoma
Authors: Cho Chan Woo , Lee Kyo Won , Park Hyojun , Kim Hyung Joon , Park Jae Berm , Choi Yoon‐La , Yu Jeong Il , Lee Su Jin , Choi Dong Il , Kim Sung Joo 
Published: October 2017

AbstractAimThe purpose of this study was to evaluate the efficacy of en bloc nephrectomy for perirenal retroperitoneal sarcoma (RPS) with respect to postoperative kidney function and oncological benefits.MethodsWe performed a comparative study of 114 patients undergoing surgery for primary RPS, classifying cases as nephrectomy (NPX, n = 65) versus no nephrectomy (no‐NPX, n = 49). The Δ and % change between preoperative and postoperative estimated glomerulus filtration rate (eGFR) were analyzed to compare renal function changes after surgery. Kaplan–Meier analysis was performed to verify the incidence of local relapse between the two groups.ResultsDuring a median follow‐up of 29 months, median postoperative GFR of 65 patients in the NPX group decreased to 73.5% of preoperative eGFR. Although 38 patients (58%) in the NPX group experienced a progression in chronic kidney disease stage after nephrectomy, no patients progressed to end‐stage renal disease (ESRD). In French Federation of Cancer Centers Sarcoma grade 2, the NPX group had statistically significant local control benefits, compared with the no‐NPX group (P = 0.048).ConclusionsResidual renal function after en bloc nephrectomy was stabilized without progression to ESRD. Moreover, en bloc nephrectomy for perirenal RPS might secure a complete resection margin for local tumor control.
Direct medical costs associated with the extrahepatic manifestations of hepatitis C virus infection in France
Authors: Cacoub P. , Vautier M. , Desbois A. C. , Saadoun D. , Younossi Z. 
Published: October 2017

SummaryBackgroundThe economic impact of extrahepatic manifestations of hepatitis C virus (HCV) infection remains unknown for France.AimTo estimate the prevalence of extrahepatic manifestations ofHCVand the direct medical costs associated with them.MethodsEstimates of 13 extrahepatic manifestations prevalence were obtained from (1) a retrospective data analysis ofHCV‐infected patients in a specialised centre and the baseline prevalence in the general French population and (2) an international systematic review. Per‐patient‐per‐year costs to treat these manifestations were obtained from the literature, national databases or expert opinion. The impact of achievingHCVcure after anti‐viral therapy was applied to the French healthcare costs.ResultsUsing approach (1), increased prevalence rates inHCVpatients compared to the general population were observed for most extrahepatic manifestations. The mean per‐patient‐per‐year cost of these manifestations in the tertiary centre was 3296 € [95%CI1829; 5540]. In France,HCV‐extrahepatic manifestations amounted to a total cost of 215 million (M) € per year [144; 299]. Using approach (2), the mean per‐patient‐per‐year cost was estimated to be 1117 €. The estimated total cost reduction in France associated withHCVcure was 13.9 M€ for diabetes, 8.6 M€ for cryoglobulinemia vasculitis, 6.7 M€ for myocardial infarction, 2.4 M€ for end‐stage renal disease and 1.4 M€ for stroke.ConclusionExtrahepatic manifestations ofHCVinfection substantially add to the overall economic burden of the disease in France.HCVcure after anti‐viral therapy is expected to significantly reduce the total costs of managing these manifestations in France.
New insights into cardiotoxicity caused by chemotherapeutic agents
Authors: Grieve David J , Davidson Sean M 
Published: October 2017

Linked ArticlesThis article is part of a themed section on New Insights into Cardiotoxicity Caused by Chemotherapeutic Agents. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.21/issuetoc
Inflammatory myopathies and human leukocyte antigen
Authors: Ohnuki Yuko , Suzuki Shigeaki , Shiina Takashi 
Published: October 2017

AbstractIdiopathic inflammatory myopathies (IIM) are a heterogeneous group of subacute, chronic or acute systemic immune‐mediated diseases of the skeletal muscles. Recently, research has shown the utility of adding new classifications of myopathies, mainly based on their pathology and the presence of specific autoantibodies. In addition, developments in genetics have helped reveal the genetic background ofIIM. The human leukocyte antigen genomic region has been consistently shown to be the strongest genetic risk factor forIIM. The present review summarizes the previous and current literature on human leukocyte antigen analysis ofIIM, as well as future directions for research.
Learning adaptivity in support of flipped learning: An ontological problem‐solving approach
Authors: Chi Yu‐Liang , Chen Tsang‐Yao , Hung ChihLi 
Published: October 2017

AbstractIn recent years, flipped learning has received tremendous attention from educational practitioners and researchers. However, this study argues that existing e‐learning systems mainly serve for learning management and content delivery purposes, although they lack support for flipped learning. As an innovative educational approach, flipped learning requires more pedagogical elements, such as integrated instructional design and adaptive content delivery, to achieve effective direct instruction. This study aims to create a learning adaptivity design to support effective learning in the flipped individual learning space in which the teacher is absent. Because teaching involves various pedagogical and content knowledge sources, we propose a conceptual model of teaching as a function of the knowledge triad of Guideline (G), Teaching Activity (T), and Material (M). To realize this conceptualization, an ontological problem‐solving approach is used for knowledge‐based systems development to integrate the relevant knowledge sources. The knowledge model is created using the Protégé platform to develop OWL‐based domain ontology, task ontology, and SWRL‐based semantic rules to enable inference in the GTM triad for learning adaptivity. The case illustration shows that the knowledge‐based system prototype can adaptively guide student learning in the flipped individual learning space with the knowledge sources integrated.
Forecasting the volatility of a combined multi‐country stock index using GWMA algorithms
Authors: Sheu Shey‐Huei , Lin Cheng‐Yi , Lu Shin‐Li , Tsai Hsin‐Nan , Chen Yan‐Chun 
Published: October 2017

AbstractGlobalization has increased the volatility of international financial transactions, particularly those related to international stock markets. An increase in the volatility of one country's stock market spreads throughout the globe, affecting other countries' stock markets. In particular, the Dow Jones Industrial Average plays an extremely important role in the international stock market. This paper uses the generally weighted moving average method and data from the Dow Jones Industrial Average, the National Association of Securities Dealers Automated Quotations, Japan's Nikkei 225, the Korea Composite Stock Price Index, and the Hong Kong Hang Seng Index to predict the performance of the Taiwan Capitalization Weighted Stock Index. This paper attempts to find the smallest prediction error using the optimal combination of generally weighted moving average model parameters and combinations of various international stock market data and compares the results to that found using the exponentially weighted moving average model to explore differences between the two types of forecasting models.
Promoting innovation locally: Municipal regulation as barrier or boost?
Authors: Brail Shauna 
Published: October 2017

AbstractThis paper examines a seemingly abrupt series of shifts that have the potential to completely transform cities as a direct result of a rising digital economy. It takes into account the convergence of research from three areas of study: (a) urban concentrations of innovative activities, (b) the platform economy, and (c) municipal regulation. A case study discussion about the role of municipal regulation in ride‐hailing, with particular emphasis on Uber, highlights debates regarding the challenges faced by municipalities amidst the prospect of renewed innovative activities and concomitant economic growth, alongside unknown risks. The paper concludes with a discussion about questions and approaches to understanding innovative activities in light of the emerging platform economy, and reviews key questions regarding the role that municipal regulatory decisions play in shaping the twenty‐first century city.
Pleistocene climatic fluctuations drive isolation and secondary contact in the red diamond rattlesnake (Crotalus ruber) in Baja California
Authors: Harrington Sean M. , Hollingsworth Bradford D. , Higham Timothy E. , Reeder Tod W. 
Published: October 2017

AbstractAimMany studies have investigated the phylogeographic history of species on the Baja California Peninsula, and they often show one or more genetic breaks that are spatially concordant among many taxa. These phylogeographic breaks are commonly attributed to vicariance as a result of geological or climatic changes, followed by secondary contact when barriers are no longer present. We use restriction‐site associated DNA sequence data and a phylogeographic model selection approach to explicitly test the secondary contact hypothesis in the red diamond rattlesnake, Crotalus ruber.LocationBaja California and Southern California.MethodsWe used phylogenetic and population clustering approaches to identify population structure. We then used coalescent methods to simultaneously estimate population parameters and test the fit of phylogeographic models to the data. We used ecological niche models to infer suitable habitat for C. ruber at the Last Glacial Maximum (LGM).ResultsCrotalus ruber is composed of distinct northern and southern populations with a boundary near the town of Loreto in Baja California Sur. A model of isolation followed by secondary contact provides the best fit to the data, with both divergence and contact occurring in the Pleistocene. We also identify a genomic signature of northern range expansion in the northern population, consistent with LGM niche models showing that the northern‐most portion of the range of C. ruber was not suitable habitat during the LGM.Main conclusionsWe provide the first explicitly model‐based test of the secondary contact model in Baja California and show that populations of C. ruber were isolated before coming back into contact near Loreto, a region that shows phylogeographic breaks for other taxa. Given the timing of divergence and contact, we suggest that climatic fluctuations have driven the observed phylogeographic structure observed in C. ruber and that they may have driven similar patterns in other taxa.
Aquaporin‐1 inhibition reduces metastatic formation in a mouse model of melanoma
Authors: Simone Laura , Gargano Concetta Domenica , Pisani Francesco , Cibelli Antonio , Mola Maria Grazia , Frigeri Antonio , Svelto Maria , Nicchia Grazia Paola 
Published: October 2017

AbstractAquaporin‐1 (AQP1) is a proangiogenic water channel protein promoting endothelial cell migration. We previously reported that AQP1 silencing by RNA interference reduces angiogenesis‐dependent primary tumour growth in a mouse model of melanoma. In this study, we tested the hypothesis that AQP1 inhibition also affects animal survival and lung nodule formation. Melanoma was induced by injecting B16F10 cells into the back of C57BL6J mice. Intratumoural injection of AQP1 siRNA and CTRL siRNA was performed 10 days after tumour cell implantation. Lung nodule formation was analysed after the death of the mice. Western blot was used to quantify HIF‐1α, caspase‐3 (CASP3) and metalloproteinase‐2 (MMP2) protein levels. We found that AQP1 knock‐down (KD) strongly inhibited metastatic lung nodule formation. Moreover, AQP1 siRNA‐treated mice showed a twofold survival advantage compared to mice receiving CTRL siRNAs. The reduced AQP1‐dependent tumour angiogenesis caused a hypoxic condition, evaluated by HIF‐1α significant increase, in turn causing an increased level of apoptosis in AQP1 KD tumours, assessed by CASP3 quantification and DNA fragmentation. Importantly, a decreased level of MMP2 after AQP1 KD indicated a decreased activity against extracellular matrix associated with reduced vascularization and metastatic formation. In conclusion, these findings highlight an additional role for AQP1 as an important determinant of tumour dissemination by facilitating tumour cell extravasation and metastatic formation. This study adds knowledge on the role played by AQP1 in tumour biology and supports the view of AQP1 as a potential drug target for cancer therapy.
Fracture Resistance of Monolithic Glass‐Ceramics Versus Bilayered Zirconia‐Based Restorations
Authors: Hamza Tamer A. , Sherif Rana M. 
Published: October 2017

AbstractPurposeTo compare the fracture resistance of monolithic reinforced glass‐ceramic restorations with bilayer zirconia‐based restorations.Materials and MethodsFifteen ceramic crowns were fabricated on epoxy dies duplicated from a stainless steel master die. They were divided into 3 equal groups (n = 5) according to the type of ceramic material used: group I, monolithic lithium disilicate (IPS e.max CAD), group V, monolithic zirconia‐reinforced lithium silicate (Vita Suprinity), and group B (bilayered zirconia substructure with veneering ceramic). All specimens were cemented on epoxy dies with a self‐adhesive resin cement (Rely X Unicem), subjected to a chewing simulator, and then loaded until fracture in a universal testing machine. The results were tabulated and statistically analyzed using one‐way ANOVA to compare among the 3 materials. The Bonferroni post hoc test was used for pairwise comparisons when the ANOVA test was significant.ResultsZirconia‐reinforced lithium silicate (Vita Suprinity) crowns showed the highest statistically significant (p < 0.05) mean fracture resistance values (1742.9 ± 102.7 N), followed by lithium disilicate (IPS e.max CAD) (1565.2 ± 89.7 N). Bilayered zirconia‐based crowns showed the lowest statistically significantly mean fracture resistance values (1267.8 ± 86.1 N).ConclusionsMonolithic reinforced glass‐ceramics (lithium disilicate and zirconia‐reinforced lithium silicate) have better fracture resistance than bilayered zirconia‐based ceramics. Clinical implications: The use of monolithic reinforced ceramic restorations (lithium disilicate and zirconia‐reinforced lithium silicate) is preferred to bilayered zirconia‐based restorations to avoid chipping of the ceramic veneer.