bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing Plastic Surgery and Otolaryngology Management in Cleft Care: An Analysis of 4,999 Cases
Authors: Jubbal Kevin T. , Zavlin Dmitry , Olorunnipa Shola , Echo Anthony , Buchanan Edward P. , Hollier Larry H. 
Published: April 2017

Care for patients with cleft lip and palate is best managed by a craniofacial team consisting of a variety of specialists, including surgeons, who are generally plastic surgeons or otolaryngologists trained in the United States. The goal of this study was to compare the surgical approaches and management algorithms of cleft lip, cleft palate, and nasal reconstruction between plastic surgeons and otolaryngologists. We performed a retrospective analysis of the American College of Surgeons’ National Surgical Quality Improvement Program Pediatric database between 2012 and 2014 to identify patients undergoing primary repair of cleft lip, cleft palate, and associated rhinoplasty. Two cohorts based on primary specialty, plastic surgeons and otolaryngologists, were compared in relation to patient characteristics, 30-day postoperative outcomes, procedure type, and intraoperative variables. Plastic surgeons performed the majority of surgical repairs, with 85.5% ( n = 1,472) of cleft lip, 79.3% ( n = 2,179) of cleft palate, and 87.9% ( n = 465) of rhinoplasty procedures. There was no difference in the age of primary cleft lip repair or rhinoplasty. However, plastic surgeons performed primary cleft palate repair earlier than otolaryngologists ( p = 0.03). Procedure type varied between the specialties. In rhinoplasty, otolaryngologists were more likely to use septal or ear cartilage, whereas plastic surgeons preferred rib cartilage. Results were similar, with no statistically significant difference in terms of mortality, reoperation, readmission, or complications. Significant variation exists in the treatment of cleft lip and palate based on specialty service with regard to procedure timing and type. However, short-term rates of mortality, wound occurrence, reoperation, readmission, and surgical or medical complications remain similar.
A Model for the Management of Female Sexual Dysfunctions
Authors: Scalco Sandra Cristina Poerner , Troncon Júlia Kefalás , Lopes Gerson Pereira , Lara Lúcia Alves da Silva 
Published: April 2017

Introduction Sexual pleasure is fundamental for the maintenance of health and well-being, but it may be adversely affected by medical and psychosocial conditions. Many patients only feel that their health is fully restored after they resume normal sexual activities. Any discussion of sexuality in a doctor's office is typically limited, mainly because of a lack of models or protocols available to guide the discussion of the topic.
Objectives To present a model designed to guide gynecologists in the management of female sexual complaints.
Methods This study presents a protocol used to assess women's sexual problems. A semi-structured interview is used to assess sexual function, and the teaching, orienting and permitting (TOP) intervention model that was designed to guide gynecologists in the management of sexual complaints.
Results The use of protocols may facilitate the discussion of sexual issues in gynecological settings, and has the potential to provide an effective approach to the complex aspects of sexual dysfunction in women. The TOP model has three phases: teaching the sexual response, in which the gynecologist explains the physiology of the female sexual response, and focuses on the three main phases thereof (desire, excitement and orgasm); orienting a woman toward sexual health, in which sexual education is used to provide information on the concept and healthy experience of sexuality; and permitting and stimulating sexual pleasure, which is based on the assumption that sexual pleasure is an individual right and is important for the physical and emotional well-being.
Conclusion The use of protocols may provide an effective approach to deal with female sexual dysfunction in gynecological offices.
Krankheitskonzepte von Patienten mit Schizophrenie: Eine triangulierende Untersuchung
Authors: Wigand Moritz , Reichhardt Lea , Lang Fabian , Krumm Silvia , Jäger Markus 
Published: April 2017

Zusammenfassung
Ziel der Untersuchung Krankheitskonzepte von Menschen mit Schizophrenie-Spektrum-Störungen zu untersuchen.
Methodik Krankheitskonzeptskala (KK-S) und Ursachenkonzeptskala (UKS) wurden eingesetzt (n = 40) sowie offene Fragen (n = 7). Triangulierend wurden quantitative und qualitative Daten verglichen.
Ergebnisse Heterogenes Bild mit Teilaspekten biologischer und psychosozialer Krankheitsmodelle.
Schlussfolgerung Krankheitskonzepte stellen ein komplexes Phänomen mit Bedeutung für die klinische Praxis dar. Triangulierende Ansätze bieten sich für weitere Untersuchungen an.
Verwirklichungschancen unter chronisch psychisch erkrankten Menschen: erste Erfahrung in der Anwendung einer deutschen Vorabversion des OxCAP-MH im Rahmen des BAESCAP-Forschungsverbunds
Authors: Baumgardt Johanna , Daum Marcel , von dem Knesebeck Olaf , Speck Andreas , Röh Dieter 
Published: April 2017

Zusammenfassung
Ziele Psychometrische Untersuchung des deutschen OxCAP-MH zur Erfassung von Verwirklichungschancen unter chronisch psychisch erkrankten Menschen.
Methodik Schriftliche Befragungen in Hamburg und Mecklenburg-Vorpommern unter Empfängern von Eingliederungshilfeleistungen (N = 1064).
Ergebnisse Der Fragebogen weist gute Ergebnisse hinsichtlich einer eindimensionalen Erfassung von Verwirklichungschancen auf.
Schlussfolgerungen Vorliegende Analysen zeigen den Mehrwert, die Begrenzungen sowie unterschiedliche Optimierungsmöglichkeiten des Instruments für die Versorgungsforschung und die Evaluation in der sozialpsychiatrischen Praxis auf.
Bioassay-Guided Isolation of Iridoids and Phenylpropanoids from Aerial Parts of Lamium album and Their Anti-inflammatory Activity in Human Neutrophils
Authors: Czerwińska Monika , Świerczewska Anita , Woźniak Marta , Kiss Anna 
Published: April 2017

AbstractIn traditional medicine, flowers and aerial parts of Lamium album are assigned by their anti-inflammatory, antiseptic, and mucolytic activities, and are used in chronic bronchitis and pharyngitis as well as skin, vaginal, and cervical inflammation.The aim of the present study was to compare effects of ethanolic extracts prepared from flowers and aerial parts of L. album on selected functions of human neutrophils, which are involved in an inflammatory response. In order to identify the compounds engaged in the anti-inflammatory activity of extracts, the bioassay-guided isolation of compounds was performed based on the inhibition of cytokine secretion by stimulated neutrophils.The extracts were phytochemically characterized with the HPLC-DAD-MSn method. The inhibition of reactive oxygen species production by formyl-met-leu-phenylalanine- or phorbol 12-myristate 13-acetate-stimulated neutrophils was determined using luminol- or lucigenin-dependent chemiluminescence. The effect on myeloperoxidase secretion by neutrophils was established spectrophotometrically. The levels of cytokine (interleukin 8, TNF-α) production after extract treatment was measured by ELISA.The most abundant constituents of extracts were phenylpropanoids, iridoids, flavonoids, and phenolic acids. Both extracts at concentrations of 25 and 100 µg/mL significantly inhibited reactive oxygen species production, and myeloperoxidase and interleukin 8 secretion. The phenylethanoid glycosides, such as lamiusides A, B, and C as well as 6″-O-β-D-glucopyranosylmartynoside, were isolated and identified. The cells treated with 6″-O-β-D-glucopyranosylmartynoside and lamiuside B produced 29.47 ± 7.11 % and 64.67 ± 5.25 % of interleukin 8, respectively, compared to non-treated control cells.Our results support the traditional use of L. album and indicate it as a potential source of natural anti-inflammatory constituents, such as phenylpropanoids.
Elevated Plasma Transforming Growth Factor β1 Levels Predict the Development of Hypertension in Normotensives: The 14-Year Follow-Up Study
Authors: Nakao Erika , Adachi Hisashi , Enomoto Mika , Fukami Ako , Kumagai Eita , Nakamura Sachiko , Nohara Yume , Kono Shoko , Sakaue Akiko , Morikawa Nagisa , Tsuru Tomoko , Fukumoto Yoshihiro 
Published: April 2017

Abstract

BACKGROUND
Transforming growth factor β1 (TGF-β1) is a multifunctional cytokine. There is growing evidence that TGF-β1 is involved in the pathogenesis of hypertension and the development of target organ damage in hypertensives. Although several studies have shown that TGF-β1 induced vascular hypertrophy and remodelling in various vascular diseases, there are no longitudinal data on hypertension in the epidemiological studies. The present study tested the hypothesis whether elevated TGF-β1 levels can predict the development of hypertension.

METHODS
In 2002–2004, 528 subjects received health examinations in Uku town, southwestern Japan. We examined blood pressure (BP), body mass index, and blood test. Data on fasting plasma TGF-β1 were obtained from 528 individuals. Of these, 149 normotensives (BP &lt;140/90 mm Hg without antihypertensive medications) at baseline were followed-up for 14 years.

RESULTS
The receiver-operating characteristic curve was used and the calculated cutoff value was 8.9 ng/ml. Of 149 normotensives at baseline, 59 subjects developed hypertension. Plasma TGF-β1 levels were significantly associated with the development of hypertension after adjustment for confounding factors. To further examine the association between them, we performed logistic regression analysis. We divided the baseline plasma TGF-β1 levels into 2 groups using a cutoff value. The significant high odds ratio [3.582 (95% confidence interval, 1.025–12.525)] for the development of hypertension was found in the highest group of TGF-β1 level vs. the lowest group after adjustment for confounders.

CONCLUSIONS
This is the first report demonstrating the causal relationship between them. Elevated plasma TGF-β1 levels predicted the development of hypertension in normotensives in a population of community-dwelling Japanese.
Myomerger induces fusion of non-fusogenic cells and is required for myoblast fusion
Authors: Quinn Malgorzata E. , Goh Qingnian , Kurosaka Mitsutoshi , Gamage Dilani G. , Petrany Michael J. , Prasad Vikram , Millay Douglas P. 
Published: April 2017

AbstractDespite the importance of cell fusion for mammalian development and physiology, the factors critical for this process remain to be fully defined1. This lack of knowledge has severely limited our ability to reconstitute cell fusion, which is necessary to decipher the biochemical mechanisms driving plasma membrane merger. Myomaker (Tmem8c) is a muscle-specific protein required for myoblast fusion2,3. Expression of myomaker in fibroblasts drives their fusion with myoblasts, but not with other myomaker-fibroblasts, highlighting the requirement of additional myoblast-derived factors for fusion. Here, we demonstrate thatGm7325, named myomerger, induces the fusion of myomaker-expressing fibroblasts. Cell mixing experiments reveal that while myomaker renders cells fusion-competent, myomerger induces fusogenicity. Thus, myomaker and myomerger confer fusogenic activity to normally non-fusogenic cells. Myomerger is skeletal muscle-specific and only expressed during developmental and regenerative myogenesis. Disruption of myomerger in myoblast cell lines through Cas9-mutagenesis generated non-fusogenic myocytes. Genetic deletion of myomerger in mice results in a paucity of muscle fibers demonstrating a requirement for myomerger in normal muscle formation. Myomerger deficient myocytes exhibit an ability to differentiate and harbor organized sarcomeres, however remain mono-nucleated. These data identify myomerger as a fundamental myoblast fusion protein and establishes a system that begins to reconstitute mammalian cell fusion.
Practical unidentifiability of receptor density in target mediated drug disposition models can lead to over-interpretation of drug concentration data
Authors: Stein Andrew M 
Published: April 2017

AbstractFor monoclonal antibodies, mathematical models of target mediated drug disposition (TMDD) are often fit to data in order to estimate key physiological parameters of the system. These parameter estimates can then be used to support drug development by assisting with the assessment of whether the target is druggable and what the first in human dose should be. The TMDD model is almost always over-parameterized given the available data, resulting in the practical unidentifiability of some of the model parameters, including the target receptor density. In particular, when only PK data is available, the receptor density is almost always practically unidentifiable. However, because practical identifiability is not regularly assessed, incorrect interpretation of model fits to the data can be made. This issue is illustrated using two case studies from the literature.
Accounting, accountability, social media and big data: revolution or hype?
Authors: Arnaboldi Michela , Busco Cristiano , Cuganesan Suresh 
Published: April 2017

Purpose
The purpose of this paper is to outline an agenda for researching the relationship between technology-enabled networks – such as social media and big data – and the accounting function. In doing so, it links the contents of an unfolding area research with the papers published in this special issue of Accounting, Auditing and Accountability Journal.

Design/methodology/approach
The paper surveys the existing literature, which is still in its infancy, and proposes ways in which to frame early and future research. The intention is not to offer a comprehensive review, but to stimulate and conversation.

Findings
The authors review several existing studies exploring technology-enabled networks and highlight some of the key aspects featuring social media and big data, before offering a classification of existing research efforts, as well as opportunities for future research. Three areas of investigation are identified: new performance indicators based on social media and big data; governance of social media and big data information resources; and, finally, social media and big data’s alteration of information and decision-making processes.

Originality/value
The authors are currently experiencing a technological revolution that will fundamentally change the way in which organisations, as well as individuals, operate. It is claimed that many knowledge-based jobs are being automated, as well as others transformed with, for example, data scientists ready to replace even the most qualified accountants. But, of course, similar claims have been made before and therefore, as academics, the authors are called upon to explore the impact of these technology-enabled networks further. This paper contributes by starting a debate and speculating on the possible research agendas ahead.
How social media reshapes action on distant customers: some empirical evidence
Authors: Agostino Deborah , Sidorova Yulia 
Published: April 2017

PurposeThe purpose of this paper is to investigate how centres of calculation, now emerging in connection with social media, impact on the process of acting on distant customers. Specifically, the authors are interested in exploring how the distance between the organization and its customer is affected and how knowledge is accumulated within this centre.Design/methodology/approachA case study in an Italian telecommunication company was conducted over a time horizon of two years, analysing data sources in the form of interviews, documents and reports, corporate website, social media platforms and participants’ observations. With the adoption of social media, the company configured a new centre of calculation, called monitoring room, in the attempt to accumulate knowledge about its customers. The authors unpacked the activity of the centre of calculation discussing its ability to perform action upon a distant periphery and the process of knowledge accumulation inside the centre itself.FindingsThe results highlight the implication of social media for “action at a distance”. On the one hand, social media blurs the distinction between the centre and a periphery giving rise to a de-centring, and stimulating a joint control activity between the customer and the organization. On the other hand, social media was found vulnerable in providing a unique knowledge about customers: accumulation cycles that exploit social media data can be replicated by users with skills in data analytics and the knowledge they provide might conflict with knowledge provided by traditional data.Originality/valueThe authors contribute to an emergent stream of literature that is investigating accounting implications derived from social media, by underlying the controversial effects connected with centres of calculation enacted by social media data. The authors suggest that, while social media data provide the organization with huge amount of information real time, at the same time, it contributes to de-centring allowing customers and external actors to act upon the organization, rather than improving knowledge inside the centre.
Risk analysis model for regional railroad investment
Authors: Suh Sunduck , Suh Wonho , Kim Jung In 
Published: April 2017

Purpose
The purpose of this study is to model risks in financial analysis. These risks associated with uncertainties in the projects should be properly addressed to ensure proper decision regarding the projects. Performance indicators should be developed and assessing risks has high priority. All these activities comprise appraisal, and based on these, a proper course of action should be recommended.

Design/methodology/approach
To analyze the attractiveness of a project for foreign regional railroad investment or participation, the project should be analyzed in a systematic way. First, the project’s goals and objectives should be evaluated for compatibility. Also, criteria of acceptability for stakeholders should be checked against output from the project. Usually, a project can have many alternatives, and impacts of each alternative should be analyzed in terms of quantitative and qualitative forecasts of impacts. Benefits and costs need to be counted in proper units of measurement per goals and objectives.

Findings
This paper shows that risk modeling can reflect uncertainty in decision-making and provide robustness of modeling process and improved communication. Also, challenges are presented in using risk analysis.

Originality/value
To overcome the shortcomings of traditional mathematical optimization model in identifying best sets of projects for private application, the proposed model finds ways to incorporate risk management components for the optimization procedure. Based on simulation results, a brute force solution procedure using enumeration can be used. Another approach is recommended to use the genetic algorithm process to reduce the number of alternatives to search to reach an optimal solution.
Optimized GNSS RTK measurement planning for effective point occupation via heuristic analysis
Authors: Bartonek Dalibor , Bures Jiri , Svabensky Otakar 
Published: April 2017

Purpose
This paper aims to deal with the formulation of the technological principle for precise positioning using global navigation satellite systems (GNSS) in railway engineering during construction and maintenance of a railway line and its spatial position. Solution of optimal route is based on finding the shortest Hamiltonian path in the graph method with additional conditions in nodes.

Design/methodology/approach
The core of the algorithm is a dynamic data structure which is based on events list. The optimization of field measurement solves the time demands and brings economic effectiveness.

Findings
The technology enables to determine the precise position with absolute difference limit from 10 to 15 mm within GNSS CZEPOS permanent network in the territory of Czech Republic.

Research limitations/implications
Technology is the result of applied research.

Practical implications
This technology innovates the current procedure of geodetic control network determination used by Railway Infrastructure Administration (state organization) in Czech Republic.

Originality/value
The event means measurement at a given track point and time for a specified duration of observation. The algorithm was realized in Borland Delphi. The optimization of field measurement solves its time demands and increases economic effectiveness. The technology enables precise position determination with absolute difference limit from 10 to 15 mm within GNSS CZEPOS permanent network in the territory of Czech Republic. It has been verified in field selected electrified and non-electrified railway lines.
Using a grid computing-based meta-evolutionary mining approach for the microarray data cancer-categorization
Authors: Chiang Tai-Wei , Chen Ta-Cheng 
Published: April 2017

Purpose
The categorization response model through gene expression patterns turns into one of the most favorable utilizations of the microarray technology. In this study, the aim is to propose a grid computing-based meta-evolutionary mining approach as a categorization response model for gene selection and cancer classification.

Design/methodology/approach
The proposed approach is based on the grid computing infrastructure for establishing the best attributes set selected from a big microarray data. The novel discriminant analysis is based on vector distant of median method as the evaluation function of meta-evolutionary mining approach. In this study, the proposed approach lays stress on finding the best attributes set for constructing a categorization response model with highest categorization accuracy.

Findings
Examples for several benchmarking cancer microarray data sets were used to evaluate the proposed approach, whose results are also compared with other approaches in literatures. Experimental results from four benchmarking problems indicate that the proposed approach works effectively and efficiently, and the results of the proposed methods are superior to or as well as other existing methods in literatures.

Originality/value
The novel discriminant analysis is based on vector distant of median method as the evaluation function of meta-evolutionary mining approach to discover the best feature subset automatically from the microarray tumor database. In this study, the proposed approach lays stress on finding the best attributes set for constructing a categorization response model with highest categorization accuracy.