bluuebunny/crossref_metadata_2025_split huggingface dataset:
The changing role of the health care customer: review, synthesis and research agenda
Authors: McColl-Kennedy Janet R. , Snyder Hannah , Elg Mattias , Witell Lars , Helkkula Anu , Hogan Suellen J. , Anderson Laurel 
Published: March 2017

PurposeThe purpose of this paper is to synthesize findings from health care research with those in service research to identify key conceptualizations of the changing role of the health care customer, to identify gaps in theory, and to propose a compelling research agenda.Design/methodology/approachThis study combines a meta-narrative review of health care research, and a systematic review of service research, using thematic analysis to identify key practice approaches and the changing role of the health care customer.FindingsThe review reveals different conceptualizations of the customer role within the ten key practice approaches, and identifies an increased activation of the role of the health care customer over time. This change implies a re-orientation, that is, moving away from the health care professional setting the agenda, prescribing and delivering treatment where the customer merely complies with orders, to the customer actively contributing and co-creating value with service providers and other actors in the ecosystem to the extent the health care customer desires.Originality/valueThis study not only identifies key practice approaches by synthesizing findings from health care research with those in service research, it also identifies how the role of the health care customer is changing and highlights effects of the changing role across the practice approaches. A research agenda to guide future health care service research is also provided.
Improving service operations: linking safety culture to hospital performance
Authors: Stock Gregory N. , McFadden Kathleen L. 
Published: March 2017

PurposeThe purpose of this paper is to examine the relationship between patient safety culture and hospital performance using objective performance measures and secondary data on patient safety culture.Design/methodology/approachPatient safety culture is measured using data from the Agency for Healthcare Research and Quality’s Hospital Survey on Patient Safety Culture. Hospital performance is measured using objective patient safety and operational performance metrics collected by the Centers for Medicare and Medicaid Services (CMS). Control variables were obtained from the CMS Provider of Service database. The merged data included 154 US hospitals, with an average of 848 respondents per hospital providing culture data. Hierarchical linear regression analysis is used to test the proposed relationships.FindingsThe findings indicate that patient safety culture is positively associated with patient safety, process quality and patient satisfaction.Practical implicationsHospital managers should focus on building a stronger patient safety culture due to its positive relationship with hospital performance.Originality/valueThis is the first study to test these relationships using several objective performance measures and a comprehensive patient safety culture data set that includes a substantial number of respondents per hospital. The study contributes to the literature by explicitly mapping high-reliability organization (HRO) theory to patient safety culture, thereby illustrating how HRO theory can be applied to safety culture in the hospital operations context.
An analysis of the interaction effect between employee technical and emotional competencies in emotionally charged service encounters
Authors: Delcourt Cécile , Gremler Dwayne D. , De Zanet Fabrice , van Riel Allard C.R. 
Published: March 2017

PurposeCustomers often experience negative emotions during service experiences. The ways that employees manage customers’ emotions and impressions about whether the service provider is concerned for them in such emotionally charged service encounters (ECSEs) is crucial, considering the criticality of the encounter. Drawing on cognitive appraisal theory, this study proposes that two key competencies – employee emotional competence (EEC) and employee technical competence (ETC) – affect negative customer emotions and customer satisfaction with employee response in ECSEs.Design/methodology/approachThis study relies on a video-based experiment that depicts a customer involved in an ECSE as a service provider delivers bad news to him. The hypothesis tests use a two-way independent analysis of covariance.FindingsBoth emotional and technical competencies must be displayed to improve the customer experience in an ECSE. When EEC is low, ETC does not decrease negative customer emotions or increase customer satisfaction with employee response. When EEC is high, ETC instead has a significant impact on both customer outcomes.Practical implicationsManagers must train employees to develop both technical and emotional competencies. Employees who demonstrate only one type cannot temper customers’ emotions or enhance their perceptions of the employees’ response as well as can those strong in both competencies.Originality/valueUsing a video-based experiment, this study examines the moderating role of EEC in the relationship between ETC and two key aspects of the customers’ experience in an ECSE (negative customer emotions and customer satisfaction with employee responses) following the delivery of bad news.
The perceived relevance of tax risk-management in a South African context
Authors: Segal Talya Gail , Segal Milton , Maroun Warren 
Published: March 2017

Purpose
Tax risk-management (TRM) is relatively understudied in the area of corporate governance and integrated reporting. The purpose of this study is to identify whether South African organisations identify, rank and manage tax risks in terms of importance and relevance to their own corporation. The study also aims to identify the link, if any, between TRM practices being implemented and the discussion and disclosure of these practices in the integrated report.

Design/methodology/approach
Detailed interviews with some of South Africa’s leading tax and corporate governance experts are used to highlight the TRM practices currently in place, as well as the evolution of these practices. These interviews also identify the connection between the practices and the integrated reporting disclosures.

Findings
The experts interviewed have identified a sound understanding of TRM practices in place and certainly some evolution of these practices over the past five years. What has been identified though is the need for further enhancement and incorporation of TRM practices into the corporate governance control structures within organisations. Integrated reporting disclosure of TRM still appears to be an area where there is need for improvement, specifically a better understanding by companies of how to use their integrated reports as a strategic asset of the company as opposed to merely a compliance exercise.

Research limitations/implications
The research relies on a relatively small sample of subject experts and does not provide a complete account of TRM developments.

Originality/value
The study adds value by contributing to research conducted on TRM. Although there has been research on ERM from a corporate governance perspective, few studies have examined this from a tax perspective, and there is virtually no formal academic research on the relationship between TRM and corporate governance from a South African perspective.
Antibacterial evaluation of cotton fabrics by using novel sulfonamide reactive dyes
Authors: Gaffer Hatem E. , Elgohary Mohamed R. , Etman Hassan Ali , Shaaban Saad 
Published: March 2017

PurposeThe purpose of this paper was to synthesize novel antibacterial reactive dyes for dyeing cotton fabrics.Design/methodology/approachFour synthetic novel antibacterial reactive dyes based on sulfonamide (D1-D4) have been synthesized by the coupling reaction of sulfonamide diazonium salt with sulfonamido-cyanurated 7-amino-4-hydroxynaphthalene-2-sulfonic acid “j-acid”. The chemical structure of the synthesized dyes was secured by their spectral data [infra red (IR) and proton Nuclear magnetic Resonance (1HNMR)].FindingsThe prepared reactive dyes (D1-D4) were applied to cotton fabrics. Optimum conditions of the dying samples at sodium sulfate 100 g/l, liquor ratio (L.R.) 1:10, sodium carbonate 20 g/l at 80°C (D1, D2 and D4), 60°C (D3 for 60 min) were investigated. The fastness properties toward washing, perspiration, rubbing and light were evaluated. Dyed fabrics showed good light fastness property and good to very good washing and perspiration fastness properties according to the gray scale. Antimicrobial activities for synthesized dyes showed excellent activity against gram-negative organisms such asPseudomonas aeruginosaandProteus mirabilis faecalis, whereas very good activity against gram-positive organisms such asStaphylococcus aureusandEnterococcus faecaliswith respect to the standard drugs ampicillin and chloramphenicol.Originality/valueThe principle advantages in this study were that the synthesis of novel synthesized dyes by introducing bisulfonamide-based moieties to increase the antimicrobial activity of the cellulose fabrics could be used as a medical textile, short reaction time and reaction procedure conducted in few steps, the work up is convenient and thus the starting material can be easily prepared.
Decrease in Statewide Antipsychotic Prescribing after Implementation of Child and Adolescent Psychiatry Consultation Services
Authors: Barclay Rebecca P. , Penfold Robert B. , Sullivan Donna , Boydston Lauren , Wignall Julia , Hilt Robert J. 
Published: March 2017

ObjectiveTo learn if a quality of care Medicaid child psychiatric consultation service implemented in three different steps was linked to changes in statewide child antipsychotic utilization.Data Sources/Study SettingWashington State child psychiatry consultation program primary data and Medicaid pharmacy division antipsychotic utilization secondary data from July 1, 2006, through December 31, 2013.Study DesignObservational study in which consult program data were analyzed with a time series analysis of statewide antipsychotic utilization.Data Collection/Extraction MethodsAll consultation program database information involving antipsychotics was compared to Medicaid pharmacy division database information involving antipsychotic utilization.Principal FindingsWashington State's total child Medicaid antipsychotic utilization fell from 0.51 to 0.25 percent. The monthly prevalence of use fell by a mean of 0.022 per thousand per month following the initiation of elective consults (p = .004), by 0.065 following the initiation of age/dose triggered mandatory reviews (p < .001), then by another 0.022 following the initiation of two or more concurrent antipsychotic mandatory reviews (p = .001). High‐dose antipsychotic use fell by 57.8 percent in children 6‐ to 12‐year old and fell by 52.1 percent in teens.ConclusionsStatewide antipsychotic prescribing for Medicaid clients fell significantly at different rates following each implementation step of a multilevel consultation and best‐practice education service.
How scientific is “the science of delivery”?
Authors: Behn Robert D. 
Published: March 2017

AbstractSome knowledge is “explicit”: It can be conveyed in words, or formulas, or diagrams. Other forms of knowledge are strictly “tacit”: A person who possesses such knowledge cannot convey it to others using the traditional means of human communication. Unfortunately, our knowledge about management is primarily tacit. Yet Barber asserts that his approach to public management is “the science of delivery,” which suggests that his knowledge is explicit and thus that his prescriptions are both amazingly effective and should be followed precisely.
Neuroprotective effects of artemisinin against isoflurane-induced cognitive impairments and neuronal cell death involve JNK/ERK1/2 signalling and improved hippocampal histone acetylation in neonatal rats
Authors: Xu Guang , Huang Yun-li , Li Ping-le , Guo Hai-ming , Han Xue-ping 
Published: March 2017

Abstract

Objective
This study was performed to assess the effect of artemisinin against isoflurane-induced neuronal apoptosis and cognitive impairment in neonatal rats.

Methods
Artemisinin (50, 100 or 200 mg/kg b.wt/day; oral gavage) was administered to separate groups of neonatal rats starting from postnatal day 3 (P3) to postnatal day 21 (P21). On postnatal day 7 (P7), animals were exposed to inhalation anaesthetic isoflurane (0.75%) for 6 h.

Key findings
Neuronal apoptosis following anaesthetic exposure was significantly reduced by artemisinin. Isoflurane-induced upregulated cleaved caspase-3, Bax and Bad expression were downregulated. Western blotting analysis revealed that treatment with artemisinin significantly enhanced the expression of anti-apoptotic proteins (Bcl-2, Bcl-xL, c-IAP-1, c-IAP-2, xIAP and survivin). Artemisinin increased the acetylation of H3K9 and H4K12 while reducing the expression of histone deacetlyases (HDACs) – HDAC-2 and HDAC-3. Isoflurane-induced activation of JNK signalling and downregulated ERK1/2 expression was effectively modulated by artemisinin. General behaviour of the animals in open-field and T-maze test were improved. Morris water maze test and object recognition test revealed better learning, working memory and also better memory retention on artemisinin treatment.

Conclusions
Artemisinin effectively inhibited neuronal apoptosis and improved cognition and memory via regulating histone acetylation and JNK/ERK1/2 signalling.
Systematic review of gender‐ dependent outcomes in sepsis
Authors: Papathanassoglou Elizabeth , Middleton Nicos , Benbenishty Julie , Williams Ged , Christofi Maria‐Dolores , Hegadoren Kathleen 
Published: March 2017

ABSTRACTBackgroundMen and women appear to exhibit different susceptibilities to sepsis and possibly divergent outcomes. However, the effect of sex and gender in critical illness outcomes is still controversial and the underlying mechanisms appear to be complex.ObjectivesWe aimed to systematically review and synthesize evidence on the influence of sex on outcomes in critically ill adult patients with sepsis, as reported in published studies specifically including investigation of the effect of sex among their aims. Primary outcome measures include in‐hospital mortality, intensive care unit (ICU) mortality and length of stay (LOS) in the ICU.Search strategyThe review was based on focused literature searches (CINAHL, PUBMED, EMBASE and COCHRANE). Methodological quality was assessed through the STROBE checklist and the Cochrane Tool for Bias in Cohort Studies. Meta‐analysis was performed using STATA. Published observational studies addressing outcomes of sepsis among their primary aims and having included gender comparisons among primary outcomes in critically ill adult patients were included.ResultsA total of eight eligible studies were included. With the exception of mortality, it was not possible to perform meta‐analysis for other outcomes. Included studies reported data on 25,619 patients with sepsis (14 309 male/11 310 female). There is a paucity of well‐designed studies addressing the effect of sex on mortality among patients with sepsis, and absence of studies addressing the effects of sex on multiple organ dysfunction of non‐infectious origin. There was significant heterogeneity among study estimates (p = 0·001; I2=78·1%).ConclusionsAlthough results of data syntheses appear to point towards a small disadvantage for survival among women, our results suggest that data on the impact of sex on sepsis outcomes remain equivocal. Implications for future research include approaches to adjustment for confounders and prospective designs.Relevance to clinical practiceClarifying sex‐related differences in sepsis, if any, is crucial for informing evidence‐based care.
Multicriteria Group Decision Making Using Fuzzy Approach for Evaluating Criteria of Electrician
Authors: Hadikurniawati Wiwien , Mustofa Khabib 
Published: March 2017

<p>This paper presents an approach of fuzzy multicriteria group decision making in determining alternatives to solve the selection problem of the electrician through a competency test. Fuzzy approach is used to determine the highest priority of alternative electrician who has knowledge and ability that best fits the given parameters. Linguistic variables are presented by triangular fuzzy numbers. They are used to represent a subjective assessment of the decision-makers so that uncertainty and imprecision in the selection process can be minimized. Fuzzy approach require transforming crisp data to fuzzy numbers. Output of the best alternatives is generated by ranking method. Ranking has been made base on eight criteria which make the evaluation basis of each alternative. Ranking of the results is determined using different value of optimism index (). The fuzzy multi criteria decision making (FMCDM) calculation is using the best alternative using three value of optimism index. The result of calculation shows that the same alternative reached from different index of optimism. This alternative is the highest priority of decision making process.</p>
Investigation on the Services of Private Cloud Computing by Using ADAM Method
Authors: Widiyasono Nur , Riadi Imam , Luthfie Ahmad 
Published: March 2017

<p>Cloud services are offered by many cloud service providers, but in for large companies generally are build by a private cloud computing. In cloud systems of abuse it can be done by internal users or due to misconfiguration or may also refer to weaknesses in the system. This study evaluated the ADAM method (Advanced Data Acquisition Model) and tested the case schemes which are being carried out in the laboratory simulation of the process in order to obtain forensic evidence of digital data on private cloud computing services. Referring to the results of the investigation process by using ADAM Method, it can be verified that there are several parameters of the success investigation including the structure of files, files, time stamp, mac-address, IP address, username password, and the data from a server both from the desktop PC or smartphone, therefore the investigation by using ADAM can be succesed properly and correctly. Another contribution of this study was to identify the weaknesses of the service system that used owncloud in users list of the the same group can change another’s user’s passwod.</p>
Big Data and MapReduce Challenges, Opportunities and Trends
Authors: Thanekar Sachin Arun , Subrahmanyam K. , Bagwan A. B. 
Published: March 2017

<p>Nowadays we all are surrounded by Big data. The term ‘Big Data’ itself indicates huge volume, high velocity, variety and veracity i.e. uncertainty of data which gave rise to new difficulties and challenges. Big data generated may be structured data, Semi Structured data or unstructured data. For existing database and systems lot of difficulties are there to process, analyze, store and manage such a Big Data. The Big Data challenges are Protection, Curation, Capture, Analysis, Searching, Visualization, Storage, Transfer and sharing. Map Reduce is a framework using which we can write applications to process huge amount of data, in parallel, on large clusters of commodity hardware in a reliable manner. Lot of efforts have been put by different researchers to make it simple, easy, effective and efficient. In our survey paper we emphasized on the working of Map Reduce, challenges, opportunities and recent trends so that researchers can think on further improvement.</p>
Energy Efficient Frame Structure for Gigabit Passive Optical Networks
Authors: Butt Rizwan Aslam , Idrus Sevia Mahdaliza , Radzi Raja Zahilah , Qureshi Kashif Naseer 
Published: March 2017

<p>Increasing power consumption in information and communication access networks is one of the major cause of greenhouse gas emissions. These emissions are harmful to life on earth. Passive Optical Networks (PONs) are energy efficient but the broadcast nature of downstream traffic may cause of huge unnecessary processing of frames by the optical network units and result in significant energy wastage. Bi-PON technique tried to solve this problem by changing the XGPON / GPON frame structure to an interleaved pattern but also required additional hardware changings at the optical network units. In this study, we have tried to achieve the same objective by making a few changings in the GPON frame structure without modifying the existing hardware structure. The simulation results show that 25.25% processing energy of an ONU can be saved by incorporating these changes.</p>
Transient Phenomena during the Three-Phase 300MVA Transformer Energization on the Transmission Network
Authors: Alibašić Emir , Marić Predrag , Nikolovski Srete N 
Published: March 2017

<p>Connecting the transformer to the network may incur inrush current, which is significantly higher than the rated current of the transformer. The main cause of this phenomenon lies in the nonlinearity of the magnetic circuit. The value of the inrush current depends of the time moment of the energization and the residual magnetism in the transformer core. While connecting, the operating point of the magnetization characteristic can be found deep in the saturation region resulting in occurrence of large transformer currents that can trigger the transformer protection. Tripping of protection immediately after the transformer energization raises doubts about the transformer health. Inrush current can cause a number of other disadvantages such as the negative impact on other transformers connected on the same busbar; the increase of the transformer noise due to the large current value, the increase of the voltage drops in the network. The paper presents a simulation of the 300 MVA transformer energization using the MATLAB/Simulink software.</p><p> </p><p> </p>
Analyzing the Optimal Performance of Pest Image Segmentation using Non Linear Objective Assessments
Authors: Sangari A Siva , D Saraswady 
Published: March 2017

<p>In modern agricultural field, pest detection is a major role in plant cultivation. In order to increase the Production rate of agricultural field, the presence of whitefly pests which cause leaf discoloration is the major problem. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image processing is affected by illumination conditions, random noise and environmental disturbances due to atmospheric pressure or temperature fluctuation. The quality of pest images is directly affected by atmosphere medium, pressure and temperature. The fuzzy c means (FCM) have been proposed to identify accurate location of whitefly pests. The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to pest image analysis, it has important drawbacks (over segmentation, sensitivity to noise). In this paper, pest image segmentation using marker controlled watershed segmentation is presented. Objective of this paper is segmenting the pest image and comparing the results of fuzzy c means algorithm and marker controlled watershed transformation. The performance of an image segmentation algorithms are compared using nonlinear objective assessment or the quantitative measures like structural content, peak signal to noise ratio, normalized correlation coefficient, average difference and normalized absolute error. Out of the above methods the experimental results show that fuzzy c means algorithm performs better than watershed transformation algorithm in processing pest images.</p>