bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extending cumulative capability models: the role of innovation in the accumulation of competitive performance
Authors: Vilkas Mantas , Stankevice Inga , Rauleckas Rimantas 
Published: November 2020

PurposeCumulative capability models are dominating frameworks explaining how manufacturing organizations gain their performance capabilities, such as quality, delivery, flexibility and cost. When innovation capabilities are excluded from the framework, the models are incapable of explaining how companies sustain substantive capabilities in a changing environment. Responding to this gap, the purpose of this paper is to propose and test a “sand cone” cumulative capability model that includes the innovation competitive performance alongside the competitive performance of quality, delivery flexibility and cost.Design/methodology/approachTwo competing cumulative models were proposed. The extended cumulative capability model hypothesizes the development of innovation in sequence with other competitive performance dimensions. The affected with innovation cumulative model hypothesizes innovation performance as a predecessor of other performance dimensions. The models were tested using a multimethod approach on a representative sample of 500 manufacturing companies. An analysis of correlations among competitive performance, frequencies of plants following prescribed sequences, fit statistics of covariance-based structural equation modeling and analysis of strength and statistical significance of path coefficients enabled us to select a model that best represents the collected data.FindingsThe findings reveal that innovation competitive performance operates as a predecessor of quality, delivery, flexibility and cost and is developed in relation to these performance dimensions. The modified model also provides a theoretical explanation of how innovation performance helps to sustain reliable production systems that can perform consistently over time within a tolerable range of quality, delivery, flexibility and cost performance.Practical implicationsThe results are significant for practitioners, especially for companies that are operating in volatile environments because the results provide insight on how to develop innovation competitive performance in relation to quality, delivery, flexibility and cost performance.Originality/valueThis study extends the cumulative capability models with innovation competitive performance. It advances the contingency approach on cumulative capability models.
Building a measurement system of higher education performance: evidence from a Latin-American country
Authors: Hernandez-Diaz Paula M. , Polanco Jorge-Andrés , Escobar-Sierra Manuela 
Published: November 2020

PurposeThe purpose of this paper aims to propose and validate a measurement scale for integrating performance in universities with a global and local Latin-American perspective.Design/methodology/approachThis research followed a sequential, mixed-method design which uses quantitative and qualitative approaches. The data collection and analysis used two stages. The first stage was a systematic literature review analysing the data through a bibliometric analysis followed by thematic analysis. From this stage emerged the global universities' performance thematic map, a flow diagram for universities' performance system and a measurement scale. The second stage validated this scale applying a survey to the academic and administrative staff members of two Colombian private universities. A total of 705 useable responses were collected and analysed using exploratory factor analysis and the SPSS software.FindingsThe results validated five dimensions (research, resources, internationalisation, extension and academics) and 15 indicators proposed to determine the performance in universities. This study concluded that the instrument developed for measuring performance is a consistent starting point for the study of universities in Latin-American countries such as Colombia.Research limitations/implicationsThis study empirically validated the instrument for measuring performance from a systemic perspective at universities; however, a broader validation of the measurement scale is needed in the context of developing countries in Latin America to generalise the results.Practical implicationsResults provide a starting point considering the Latin-American context. They could help in future studies to improve the understanding of performance management in higher education.Originality/valuePerformance in universities has created multiple parameters and indicators, generating a lack of global consensus for their measurement. Thereof, this paper contributes to filling this gap in Latin-American universities. This work postulates a starting point considering the local context from global reported findings. It integrated the relations visually for sub-dimension and performance indicators into the university performance system. From this research emerged a novel theoretical hierarchical model for measuring university performance.
Benchmarking aircraft maintenance performances using data envelopment analysis
Authors: O'Neal Thomas , Min Hokey , Cherobini Daniel , Joo Seong-Jong 
Published: November 2020

PurposeThe authors employed the three different versions (Charnes–Cooper–Rhodes, Banker–Charnes–Cooper and slack-based measure of efficiency) of data envelopment analysis (DEA) to evaluate the comparative efficiency/inefficiency of aircraft maintenance performance during the previous 41 months in United States Air Force (USAF). As a complimentary tool, the authors also adopted Tobit regression analysis to identify factors affecting efficiencies and inefficiencies.Design/methodology/approachThis paper aims to measure the relative efficiency of maintenance performances for a type of USAF aircraft in an effort to enhance aviation safety and combat readiness.FindingsThrough this study, the authors have two noteworthy findings. These are (1) an increased number of “cannibalization” (extracting necessary parts from the existing aircraft) practices tended to reduce maintenance efficiency; (2) The number of mission-capable aircraft turned out to be the most important factor for maintenance performance efficiency.Originality/valueThis paper is one of the first studies on aircraft maintenance that considered popular but neglected cannibalization practices as a new variable for assessing the maintenance efficiency. In addition, this paper is one of the few studies that performed a post-ad hoc analysis as a follow-up to DEA analysis.
Determinants of organic wine consumption behavior from the perspective of the theory of planned behavior
Authors: Caliskan Aylin , Celebi Duygu , Pirnar Ige 
Published: November 2020

Purpose
Focusing only on the characteristics of the wine and the type of production is insufficient to give a holistic idea on consumer’s organic wine consumption behavior. Therefore, this study aims to examine the impact of attitude, perceived behavioral organic wine consumption, theory of planned behavior (TPB) control and subjective norms on organic wine consumption intention and behavior.

Design/methodology/approach
Drawing on the TPB, a theoretical model was developed and tested by partial least squares structural equation modeling method. The sample of the research consists of 304 participants from the vineyards in Izmir/Turkey.

Findings
The main result of this study reveals that the theoretical model belonging to the TPB is also valid in the case of organic wine consumption behavior. Specifically, research results indicate that attitude has the strongest direct impact on intention and indirect impact on organic wine consumption behavior while perceived behavioral control has the least impact.

Originality/value
Prediction of organic wine consumption behavior from the perspective of the TPB presents the originality of this paper.
Development of a light‐weight deep learning model for cloud applications and remote diagnosis of skin cancers
Authors: Huang Hsin‐Wei , Hsu Benny Wei‐Yun , Lee Chih‐Hung , Tseng Vincent S. 
Published: November 2020

AbstractSkin cancer is among the 10 most common cancers. Recent research revealed the superiority of artificial intelligence (AI) over dermatologists to diagnose skin cancer from predesignated and cropped images. However, there remain several uncertainties for AI in diagnosing skin cancers, including lack of testing for consistency, lack of pathological proof or ambiguous comparisons. Hence, to develop a reliable, feasible and user‐friendly platform to facilitate the automatic diagnostic algorithm is important. The aim of this study was to build a light‐weight skin cancer classification model based on deep learning methods for aiding first‐line medical care. The developed model can be deployed on cloud platforms as well as mobile devices for remote diagnostic applications. We reviewed the medical records and clinical images of patients who received a histological diagnosis of basal cell carcinoma, squamous cell carcinoma, melanoma, seborrheic keratosis and melanocytic nevus in 2006–2017 in the Department of Dermatology in Kaohsiung Chang Gung Memorial Hospital (KCGMH). We used the deep learning models to identify skin cancers and benign skin tumors in the manner of binary classification and multi‐class classification in the KCGMH and HAM10000 datasets to construct a skin cancer classification model. The accuracy reached 89.5% for the binary classifications (benign vs malignant) in the KCGMH dataset; the accuracy was 85.8% in the HAM10000 dataset in seven‐class classification and 72.1% in the KCGMH dataset in five‐class classification. Our results demonstrate that our skin cancer classification model based on deep learning methods is a highly promising aid for the clinical diagnosis and early identification of skin cancers and benign tumors.
Improving predictions of tropical tree survival and growth by incorporating measurements of whole leaf allocation
Authors: Rubio Vanessa E. , Zambrano Jenny , Iida Yoshiko , Umaña María Natalia , Swenson Nathan G. 
Published: November 2020

Abstract

Individual‐level demographic outcomes should be predictable upon the basis of traits. However, linking traits to tree performance has proven challenging likely due to a failure to consider physiological traits (i.e. hard‐traits) and the failure to integrate organ‐level and whole plant‐level trait information.

Here, we modelled the survival rate and relative growth rate of trees while considering crown allocation, hard‐traits and local‐scale biotic interactions, and compared these models to more traditional trait‐based models of tree performance.

We found that an integrative trait, total tree‐level photosynthetic mass (estimated by multiplying specific leaf area and crown area) results in superior models of tree survival and growth. These models had a lower AIC than those including the effect of initial tree size or any other combination of the traits considered. Survival rates were positively related to higher values of crown area and photosynthetic mass, while relative growth rates were negatively related to the photosynthetic mass. Relative growth rates were negatively related to a neighbourhood crowding index. Furthermore, none of the hard‐traits used in this study provided an improvement in tree performance models.

Synthesis. Overall, our results highlight that models of tree performance can be greatly improved by including crown area information to generate a better understanding of plant responses to their environment. Additionally, the role of the hard‐traits in improving models of tree performance is likely dependent upon the level of stress (e.g. drought stress), micro‐environmental conditions or short‐term climatic variations that a particular forest experiences.
Distribution records of apple snails (Pomacea spp.) in Japan collected during 2017–2019 through a citizen science project for introduced species conducted by the Osaka Museum of Natural History
Authors: Ishida So 
Published: November 2020

AbstractApple snails Pomacea canaliculata and Pomacea maculata are herbivorous freshwater gastropods native to South America and are introduced species widespread in western and southern Japan. Although they affect rice culture and are invasive to native ecosystems, high‐resolution distribution data are not available for these species. I mapped the distribution of Pomacea species using the citizen science approach, by asking volunteers to report the geographical location along with the presence or absence of apple snail egg capsules or snail shells during 2017–2019. In total, 1,304 present and 508 absent records were collected, which revealed the distribution outlines of apple snails, especially in the Kansai area. Here, I provide a dataset of observation dates, location coordinates, volunteer names, and supplemental information.The complete data set for this abstract published in the Data Paper section of the journal is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2020-19.1/jalter-en.
Traits database of tidal flat macrobenthos along the Northwest Pacific coast of Japan
Authors: Yamakita Takehisa , Yamada Katsumasa , Yokooka Hiroyuki , Kanaya Gen 
Published: November 2020

AbstractWe collected information on the functional traits of the macrobenthos that inhabit mainly tidal flats along the Northwest Pacific coast of Tohoku, Japan, based on the species that were present during a survey after the Great East Japan Earthquake of 2011. The dataset contains information on 33 traits of 246 species and includes their taxonomic position, distribution, body length, habitat, reproduction type, and other characteristics such as diet type, migratory type, and invasiveness. Information about most basic traits such as body length, distribution, and habitat characteristics is complete, and more than 50% of trait information is complete for over 100 species, but information about reproduction is relatively limited. Although we did not limit our study to specific taxa and even included vegetation in the database, the majority of the taxa are Arthropoda, Mollusca, and Annelida. This file also has a table that compares the traits data to the existing traits database BIOTIC (Biological Traits Information Catalogue) to facilitate transformation and reuse of the data. Because the area of this survey was very adversely impacted by the Great East Japan Earthquake and Tsunami of March 11, 2011 and by post‐disaster anthropogenic activities, this database will be relevant to assessments of post‐disaster changes of the benthic community due to both the tsunami and human activities. The database is expected to fill the gap between the identification of species and assessments of community composition.The detailed Metadata for this abstract published in the Data Paper section of the journal is available in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP-2020-23.1/jalter-en.
The Lure of the Past: Ancient Balneology at the Turn of the Eighteenth Century
Authors: Savani Giacomo 
Published: November 2020

AbstractThis article focuses on two central figures in the burgeoning balneological debate at the turn of the eighteenth century: John Floyer (1649‐1734), one of the most fervent supporters of the healing virtues of cold bathing, and Thomas Guidott (1638‐1706), who championed the benefits of the hot springs at Bath. Both men were greatly influenced by ancient practices, and their works abound with references to classical authors. Analysis of the way Floyer and Guidott engaged with historical and antiquarian issues, reveals the role played by the past in the construction of medical discourse in the early eighteenth century.
Association between Graves' disease and risk of incident systemic lupus erythematosus: A nationwide population‐based cohort study
Authors: Lee Cho , Chen Shih‐Fen , Yang Yu‐Cih , Hsu Chung Y. , Shen Yu‐Chih 
Published: November 2020

AbstractObjectivePrevious case reports have linked Graves' disease to incident systemic lupus erythematosus (SLE). It has also been reported that antithyroid drugs used to treat Graves' disease can induce SLE development. The purpose of this study was to investigate the risk of SLE in patients with Graves' disease.MethodsA total of 8779 patients with Graves' disease and 8779 controls (without Graves' disease) matched by age, gender, index year, and Charlson Comorbidity Index (CCI) score were enrolled between 2000‐2012. Patients were then followed until the end of 2013 using Taiwan's National Health Insurance Research Database, at which time participants who developed SLE were identified. Cox regression analysis was used to calculate the hazard ratio (HR) with a 95% confidence interval (CI) of SLE incidence rate between patients with Graves' disease and unaffected controls.ResultsPatients with Graves' disease had a significantly increased risk of SLE than unaffected controls (8.81 vs 2.83 per 10 000 person‐years, HR: 5.45, 95% CI: 1.74‐17.0) after adjusting for antithyroid therapies (antithyroid drugs, radioactive iodine ablation, and surgery). Diagnostic bias may be present as patients with Graves' disease may seek more help from healthcare providers. After excluding the first 0.5 and 1 year of observation period, similar results were obtained (excluding 0.5 year ‐ HR: 4.30, 95% CI: 2.78‐8.57; excluding 1 year ‐ HR: 4.63, 95% CI: 2.33‐7.79).ConclusionThis study shows that Graves' disease is associated with an increased risk of incident SLE. Further studies on the underlying pathogenesis linking Graves' disease and SLE are warranted.
Remote health service vulnerabilities and responses to the COVID‐19 pandemic
Authors: Fitts Michelle S. , Russell Deborah , Mathew Supriya , Liddle Zania , Mulholland Edward , Comerford Clarissa , Wakerman John 
Published: November 2020

AbstractThe rapid response to the COVID‐19 pandemic in Australia has highlighted the vulnerabilities of remote Aboriginal and Torres Strait Islander communities in terms of the high prevalence of complex chronic disease and socio‐economic factors such as limited housing availability and overcrowding. The response has also illustrated the capability of Aboriginal and Torres Strait Islander leaders and the Aboriginal Community Controlled Health Services Sector, working with the government, to rapidly and effectively mitigate the threat of transmission into these vulnerable remote communities. The pandemic has exposed persistent workforce challenges faced by primary health care services in remote Australia. Specifically, remote health services have a heavy reliance on short‐term or fly‐in, fly‐out/drive‐in, drive‐out staff, particularly remote area nurses. The easing of travel restrictions across the country brings the increased risk of transmission into remote areas and underscores the need to adequately plan and fund remote primary health care services and ensure the availability of an adequate, appropriately trained local workforce in all remote communities.
Kidney iron deposition by R2* is associated with haemolysis and urinary iron
Authors: Denton Christopher C. , Detterich Jon A. , Coates Thomas D. , Wood John C. 
Published: November 2020

SummaryKidney iron deposition measured by R2* (magnetic resonance imaging) MRI is posited to result from tubular reabsorption of filtered haemoglobin due to intravascular haemolysis. In chronically transfused sickle cell disease (SCD), R2* is elevated and positively correlated with lactate dehydrogenase (LDH). To account for contributions to renal iron from systemic iron overload, we evaluated kidney R2*, urinary iron and haemolysis markers in 62 non‐transfused SCD patients. On multivariate analysis, kidney R2* was associated with urinary iron and LDH (R2 = 0·55, P < 0·0001). Our study confirms that kidney R2* is associated with intravascular haemolysis and raises important questions regarding the role of iron in SCD nephropathy.
Engulfment and cell motility 1 (ELMO1) and apolipoprotein A1 (APOA1) as candidate genes for sickle cell nephropathy
Authors: Saraf Santosh L. , Zhang Xu , Shah Binal N. , Raslan Rasha , Tayo Bamidele O. , Lash James P. , Franceschini Nora , Gordeuk Victor R. 
Published: November 2020

AbstractSickle cell disease (SCD) and apolipoprotein L1 (APOL1) G1/G2 variants increase chronic kidney disease (CKD) risk in African Americans by poorly understood mechanisms. We applied bioinformatics to identify new candidate genes associated with SCD‐related CKD. An interaction network demonstrated APOA1 connecting haemoglobin subunit β (HBB) and APOL1 with 36 other candidate genes. Gene expression revealed upregulation of engulfment and cell motility 1 (ELMO1) and downregulation of APOA1 in the kidney cortex of SCD versus non‐SCD mice. Analysis of candidate genes identified ELMO1 rs10951509 to be associated with albuminuria and APOA1 rs11216132 with haemoglobinuria in patients with SCD. A bioinformatic approach highlights ELMO1 and APOA1 as potentially associated with SCD nephropathy.
Trauma‐focused cognitive behavioral therapy for children and youth in low and middle‐income countries: A systematic review
Authors: Thomas Fiona C. , Puente‐Duran Sofia , Mutschler Christina , Monson Candice M. 
Published: November 2020

BackgroundTrauma‐focused cognitive behavioral therapy (TF‐CBT) has been identified as a gold standard treatment for childhood posttraumatic stress disorder (PTSD) in Western countries. More recently, TF‐CBT has emerged in the literature as an area of interest for children and youth affected by conflict and war in low‐ and middle‐income countries (LMIC).MethodsThe present systematic review assesses the current evidence base of TF‐CBT for children and youth in LMIC, with a focus on conflict‐affected countries. A total of 143 articles were identified, of which 11 articles, representing 1,354 participants, met the proposed inclusion criteria.ResultsResults showed that the majority of the studies identified were conducted in low‐resource community settings in East or Central Africa (n = 8). It was also found that cultural considerations were taken into account in TF‐CBT delivery to meet the needs of local populations. Additionally, measures were translated and validated for local use.ConclusionsFindings of outcome data indicated that TF‐CBT was effective in treating trauma‐related symptoms and improving psychosocial functioning in children and adolescents in LMICs. Given the limited number of published literature available in this area, further studies are needed to conclude when and for whom trauma‐focused interventions are most relevant.