bluuebunny/crossref_metadata_2025_split huggingface dataset:
Growth control through regulation of insulin-signaling by nutrition-activated steroid hormone
Authors: Buhler Kurt , Clements Jason , Winant Mattias , Vulsteke Veerle , Callaerts Patrick 
Published: December 2017

AbstractGrowth and maturation are coordinated processes in all animals. Integration of internal cues, such as signalling pathways, with external cues such as nutritional status is paramount for an orderly progression of development in function of growth. In Drosophila, this coordination involves insulin and steroid signalling, but the mechanisms by which this occurs and how they are coordinated are incompletely understood. We show that production of the bioactive 20-hydroxyecdysone by the enzyme Shade in the fat body is a nutrient-dependent process. We demonstrate that during fed conditions, Shade plays a role in growth regulation, as knockdown of shade in the fat body resulted in growth defects and perturbed expression and release of the Drosophila insulin-like peptides from the insulin-producing cells (IPCs). We identify the trachea and IPCs as direct targets through which 20-hydroxyecdysone regulates insulin-signaling. The identification of the trachea-dependent regulation of insulin-signaling exposes an important variable that may have been overlooked in other studies focusing on insulin-signaling in Drosophila. Finally, we show with IPC-specific manipulations that 20E may both be a growth-promoting and growth-inhibiting signal in the IPCs acting through different nuclear receptors. Our findings provide a potentially conserved, novel mechanism by which nutrition can modulate steroid hormone bioactivation, reveal an important caveat of a commonly used transgenic tool to study IPC function and yield further insights as to how steroid and insulin signalling are coordinated during development to regulate growth and developmental timing.
Blockchains as security-enabler for industrial IoT-applications
Authors: Skwarek Volker 
Published: December 2017

Purpose
This paper aims to describe a method for Internet-of-Things-devices to achieve industrial grade reliability for information transfer from wireless sensor systems to production systems using blockchain technologies.

Design/methodology/approach
An increased security and reliability of submitted data within the sensor network could be achieved on an application level. Therefore, a lightweight, high-level communication protocol based on blockchain principles was designed.

Findings
Blockchain mechanisms can secure the wireless communication of Internet-of-Things-devices in a lightweight and scalable manner.

Originality/value
The innovation of this research is the successful application of general blockchain mechanisms to increase security of a wireless sensor system without binding to a dedicated blockchain technology.
The antecedents of perceived value in the Airbnb context
Authors: Stollery Aubrey , Jun Soo Hyun 
Published: December 2017

PurposeThis study aims to examine the antecedents of perceived value in the Airbnb context using the variables of perceived benefits (i.e. monetary saving, hedonic benefit, novelty and social interaction) and perceived risks (i.e. performance, physical, psychological and time).Design/methodology/approachThe study population was Airbnb users in South Korea. This study applied a survey research method using a questionnaire. A link to the survey was sent via e-mail to panel members of a multinational research company.FindingsThe results revealed the positive influence of monetary saving, hedonic benefit and novelty on perceived value and the negative influence of psychological risk on perceived value.Research limitations/implicationsThe results of this study, which identified the specific factors that influence Airbnb users’ perception of value, can assist Airbnb managers and Airbnb hosts in developing appropriate marketing plans and strategies to enhance the value of their offerings.Originality/valueThis study provided empirical support to the inclusion of affective factors and risk in determining perceived value. Moreover, while previous Airbnb studies focused on consumers from Western countries (e.g. USA and Canada), this study used a sample of South Korean consumers.
A qualitative investigation of perceived impacts of virtuality on effectiveness of hybrid construction project teams
Authors: Hosseini M. Reza , Bosch-Sijtsema Petra , Arashpour Mehrdad , Chileshe Nicholas , Merschbrock Christoph 
Published: December 2017

Purpose
The “virtuality” of a team collaborative interaction is the extent to which it is accomplished in the same place, in fully distributed virtual teams, or in a hybrid combination of the two. However, existence, strength and process of potential association between virtuality and effectiveness in construction project teams have remained elusive. This paper aims to address this gap in the literature.

Design/methodology/approach
In this study, a conceptual model demonstrating the association between virtuality and effectiveness of teams was developed through integrating the input-process-output (IPO) model and the “Big Five” theory. This conceptual model was contextualised for the construction industry drawing upon conducting 17 semi-structured interviews with hybrid team experts.

Findings
The findings provide the first model mapping the associations between virtuality and dimensions of team effectiveness for the construction context.

Practical implications
The discovered patterns of associations between virtuality and dimensions of effectiveness for hybrid construction project teams (HCPTs) will assist managers in designing and running more effective teams. In addition, the findings help construction practitioners better understand how virtuality influence the performance and satisfaction of team members in HCPTs. The present study concludes with outlining a set of recommendations based on the findings of the study.

Originality/value
As the first study in its kind, the present study offers a new insight into the concept and impacts of virtuality for construction teams and provides instructions and guidelines for designing and maintaining the effectiveness of such teams on construction projects.
Development of an integrated performance measurement framework for lean organizations
Authors: Sangwa Narpat Ram , Sangwan Kuldip Singh 
Published: December 2017

PurposeThe purpose of this paper is to propose an integrated performance measurement framework to measure the effect of lean implementation throughout all functions of an organization.Design/methodology/approachThe paper identifies the seven categories representing all organizational functions. These categories have been divided into 26 performance dimensions and key performance indicators (KPIs) for each performance dimension have been identified to measure lean performance. The interrelationship of each category with lean principles and/or lean wastes has been identified. KPIs are developed on the basis of identified criteria, frequency analysis of existing literature, and discussion with industry professionals. Finally, an integrated performance measurement framework is proposed.FindingsThe proposed framework evaluates the organization under seven categories – manufacturing process, new product development (NPD), human resource management, finance, administration, customer management, and supplier management. In total, 26 dimensions and 119 key performance indicators have been identified under the seven categories.Research limitations/implicationsThe proposed framework is a conceptual framework and it is to be tested by empirical and cross-sectional studies.Originality/valueThe main novelty of the research is that the leanness of the organization has been measured throughout the supply chain of the organization in an integrated way. The various areas of measurement are manufacturing process, NPD, finance, administration, customer management, and supplier management. Further, the proposed KPIs are also categorized as qualitative or quantitative, strategic or operational, social or technical, financial or non-financial, leading or lagging, static or dynamic. This paper contributes to the body of knowledge in performance measurement.
Dynamic due date assignment method
Authors: K.T. Vinod , Prabagaran S. , Joseph O.A. 
Published: December 2017

Purpose
The purpose of this paper is to determine the interaction between dynamic due date assignment methods and scheduling decision rules in a typical dynamic job shop production system in which setup times are sequence dependent. Two due date assignment methods and six scheduling rules are considered for detailed investigation. The scheduling rules include two new rules which are modifications of the existing rules. The performance of the job shop system is evaluated using various measures related to flow time and tardiness.

Design/methodology/approach
A discrete-event simulation model is developed to describe the operation of the job shop. The simulation results are subjected to statistical analysis based on the method of analysis of variance. Regression-based analytical models have been developed using the simulation results. Since the due date assignment methods and the scheduling rules are qualitative in nature, they are modeled using dummy variables. The validation of the regression models involves comparing the predictions of the performance measures of the system with the results obtained through simulation.

Findings
The proposed scheduling rules provide better performance for the mean tardiness measure under both the due date assignment methods. The regression models yield a good prediction of the performance of the job shop.

Research limitations/implications
Other methods of due date assignment can also be considered. There is a need for further research to investigate the performance of due date assignment methods and scheduling rules for the experimental conditions that involve system disruptions, namely, breakdowns of machines.

Practical implications
The explicit consideration of sequence-dependent setup time (SDST) certainly enhances the performance of the system. With appropriate combination of due date assignment methods and scheduling rules, better performance of the system can be obtained under different shop floor conditions characterized by setup time and arrival rate of jobs. With reductions in mean flow time and mean tardiness, customers are benefitted in terms of timely delivery promises, thus leading to improved service level of the firm. Reductions in manufacturing lead time can generate numerous other benefits, including lower inventory levels, improved quality, lower costs, and lesser forecasting error.

Originality/value
Two modified scheduling rules for scheduling a dynamic job shop with SDST are proposed. The analysis of the dynamic due date assignment methods in a dynamic job shop with SDST is a significant contribution of the present study. The development of regression-based analytical models for a dynamic job shop operating in an SDST environment is a novelty of the present study.
The impact of proactivity, leader-member exchange, and climate for innovation on innovative behavior in the Korean government sector
Authors: Park Sohee , Jo Sung Jun 
Published: December 2017

PurposeIn the current business environment, no organization is assured of survival without continuous innovation. Employees’ innovative behavior is critical to enhance the innovation of an organization. While most literature on innovative behavior has focused on employees in the private sector, the purpose of this paper is to explore the factors that affect innovative behaviors in the government sector. In particular, it examines how proactivity, leader-member exchange (LMX), and climate for innovation affect employees’ innovative behavior in the Korean government sector, which is generally characterized as highly hierarchical, structured, and formalized.Design/methodology/approachThe authors selected a sample of government employees in the Ministry of Education in Korea. Through the researchers’ contacts, ten government agencies agreed to recruit their employees to participate in the study. Data from 1,011 respondents were analyzed in two steps using structural equation modeling. First, to examine the construct validity of the measures, the authors examined the measurement model using the confirmatory factor analysis. Second, the interrelationships among the four variables were assessed. The hypothesized structural model was examined and compared to several alternative models to explore the best model fit to the data. The authors then examined the regression coefficients to determine the hypothesized relationships in the final structured model.FindingsThe results revealed the following: proactivity and climate for innovation had positive relationships with innovative behavior; LMX had a positive relationship with proactivity although it did not have a direct relationship with innovative behavior; and organizational climate for innovation did not ensure proactivity of employees.Originality/valueThe antecedents included in this research have been studied in relation to innovative behavior in several studies, but studies have called for further study. Few studies have examined innovative behavior in the public sector and they have examined innovation in the public sector which has mostly been focused on environmental factors surrounding government organizations or policy choices of government leaders while ignoring the individual traits of public workers, relational dynamics among people, and the cultural aspects of the organizations. This study investigated the interrelationships among the antecedents in the process of impacting innovative behavior in the public sector in Korea. In addition, little research has examined the antecedents of innovative behavior together. This study expands our knowledge of the roles and interrelationships of proactivity, LMX, and organizational climate for innovation as they relate to innovative behavior.
Social innovation and SONO filter for drinking water
Authors: Ahmed Jashim Uddin , Tinne Wahida Shahan , Al-Amin Md. , Rahanaz Maliha 
Published: December 2017

Purpose
Bangladesh is facing an alarming situation with the drinking water in its most areas, as groundwater used for drinking has been contaminated with naturally occurring inorganic arsenic. Many entrepreneurs along with the government are trying to cope up with this problem. SONO filter is one of them that is based on the social innovation concept. Social innovation is defined as innovative products/services motivated by the goal of meeting a social need, with the opportunity to create new social collaborations. This paper aims to examine the concepts of social innovation, which advocates enhancing values to society and the social benefit to all the stakeholders.

Design/methodology/approach
This is an exploratory study and presents the evolution, the development of the social business model and its implementation. Abul Hussam initiated the social business concept through SONO filter that is commercialized through the Manob Sakti Unnayan Kendro. The study has been conducted entirely on the basis of documentary information and data available in the public domain.

Findings
The findings show a hopeful contribution toward enhancing social benefits to society especially in arsenic-affected areas. SONO filter helps to mitigate the water-borne diseases and make people clean and safe, as well as healthy, by providing pure drinking water. Even by drinking pure water, people with arsenic-related diseases are getting better day by day through this social initiative.

Originality/value
Business based on social innovation is a new and really a good working concept. It has faced many hurdles in its journey to meet social objectives. Many researchers, entrepreneurs, non-profit organizations, national planners and society leaders will surely be benefited by its solution.
Efficacy of anakinra in a patient with systemic amyloidosis presenting as amyloidoma
Authors: Nalcacioglu Hulya , Ozkaya Ozan , Genc Gurkan , Ayyildiz Suat , Kefeli Mehmet , Elli Murat , Aydin Oguz , Ceyhan Bilgici Meltem 
Published: December 2017

AbstractAmyloidosis is a heterogeneous group of disorders characterized by extracellular deposition of unique protein fibrils. The least common presentation of an amyloid deposition is as a discrete mass called amyloidoma or amyloid tumor. We report a case of a soft tissue amyloidoma in the abdomen of a 16‐year‐old girl who was diagnosed as having systemic amyloidosis. A girl aged 16 years was referred to our hospital with a pre‐diagnosis of a retroperitoneal mass documented with abdominal ultrasonography and tomography. A laboratory examination revealed nephrotic syndrome. She underwent surgery for a complete resection of the lesion. A histopathologic examination with Congo red and crystal violet dyes verified the diagnosis of amyloidoma. An immunohistochemical study for amyloid A protein was positive. A renal biopsy was also compatible with AA amyloidosis. A detailed search for the etiology of systemic amyloidosis revealed heterozygous mutation in the Mediterranean fever gene. Treatment with colchicine and anakinra were started with the diagnosis of familial Mediterranean fever because the other causes of secondary amyloidosis were ruled out. After 3 months of anakinra treatment, the laboratory findings returned to normal and excessive proteinuria disappeared. In countries where FMF and other autoinflammatory diseases are prevelant, systemic amyloidosis should be kept in mind in the differential diagnosis of children who present with nephrotic syndrome and abdominal mass. Taking previously reported cases and our case together, it appears that anti‐interleukin‐1 treatment represents a promising new approach in a subset of patients with systemic amyloidosis secondary to autoinflammatory diseases.
Quantitative evaluation of cue‐induced reinstatement model for evidence‐based experimental optimization
Authors: Oberhofer Julia , Noori Hamid R. 
Published: December 2017

AbstractCue‐induced reinstatement is a widely used model for investigating relapse of reward‐seeking behavior with high face validity in relation to clinical observations. Yet, face validity is not sufficient to evaluate an animal model, and quantitative, evidence‐based analysis is required to estimate the ultimate applicability of this paradigm. Furthermore, such analysis would allow an accurate and reproducible design of future experiments. Here, we conducted meta‐analysis and cluster analysis to characterize the impact of cue type (visual, auditory, olfactory or combinations thereof), intensity (e.g. light frequency, sound volume and odor concentration), reward type (e.g. different drugs of abuse, sucrose and food pellets) and model parameters (e.g. housing condition, age, gender and strain of animals) on reinstatement levels. We selected 184 publications for meta‐analysis based on inclusion criteria with a total number of 3889 rats. Our analysis suggested that the exact level of reinstatement depends on neither cue type, nor intensity nor on the type of reward. While all cues induced reinstatement to reward‐seeking behavior, it is the model parameters, in particular, the housing conditions, age and strain, that defined the final reinstatement levels. In particular, single‐housed, adolescent, Wistar or Lister Hooded rats showed significantly higher reinstatement than adult, Sparague‐Dawley rats housed in groups. Our findings suggest that model parameters (for example, single housing) evoke stress‐induced behaviors that affect reinstatement more than cue/reward factors.
Knowledge, perception, access and utilisation of HIV counselling and testing among pregnant women in rural communities of Osogbo town, Nigeria
Authors: Olowokere Adekemi E. , Adelakun Oluyemi A. , Komolafe Abiola O. 
Published: December 2017

AbstractObjectiveTo assess knowledge, perception, access and utilisation of HIV counselling and testing among pregnant women from rural communities in Nigeria.DesignDescriptive cross‐sectional survey.SettingPrimary health care facilities in rural communities of Osogbo, Osun State, Nigeria.ParticipantsThree‐hundred pregnant women attending antenatal clinics in primary health care facilities.Main outcome measuresKnowledge of HIV counselling and testing, perception of HIV counselling and testing, utilisation of HIV counselling and testing and barriers associated with HIV counselling and testing utilisation.ResultsFindings showed that 59.0% had good knowledge, while 56.7% had good perception. Majority (88.4%) of the 77.7% of respondents who reported the availability of HIV counselling and testing services said it was free and 61.3% of the respondents had HIV counselling and testing done before. Majority (78.3%) had one‐on‐one counselling, while a little above half (55.4%) gave consent for testing. However, less than half (36.3%) of the respondents were willing to have HIV counselling and testing done in the present pregnancy. There is significant association between the level of perception and utilisation of HIV counselling and testing. A significant association is also found between knowledge of HIV counselling and testing and utilisation. Key barriers found to be associated with utilisation of HIV counselling and testing include ‘fear of how to cope with being positive’ and ‘absence of HIV counselling and testing centre’.ConclusionMany women selected from rural communities demonstrated good knowledge and perception of HIV counselling and testing. The majority of them also had access to HIV counselling and testing and used it. However, some still have misconception about mother‐to‐child transmission of HIV.
Sieve Analysis Using the Number of Infecting Pathogens
Authors: Follmann Dean , Huang Chiung-Yu 
Published: December 2017

Summary
Assessment of vaccine efficacy as a function of the similarity of the infecting pathogen to the vaccine is an important scientific goal. Characterization of pathogen strains for which vaccine efficacy is low can increase understanding of the vaccine's mechanism of action and offer targets for vaccine improvement. Traditional sieve analysis estimates differential vaccine efficacy using a single identifiable pathogen for each subject. The similarity between this single entity and the vaccine immunogen is quantified, for example, by exact match or number of mismatched amino acids. With new technology, we can now obtain the actual count of genetically distinct pathogens that infect an individual. Let F be the number of distinct features of a species of pathogen. We assume a log-linear model for the expected number of infecting pathogens with feature “f,” . The model can be used directly in studies with passive surveillance of infections where the count of each type of pathogen is recorded at the end of some interval, or active surveillance where the time of infection is known. For active surveillance, we additionally assume that a proportional intensity model applies to the time of potentially infectious exposures and derive product and weighted estimating equation (WEE) estimators for the regression parameters in the log-linear model. The WEE estimator explicitly allows for waning vaccine efficacy and time-varying distributions of pathogens. We give conditions where sieve parameters have a per-exposure interpretation under passive surveillance. We evaluate the methods by simulation and analyze a phase III trial of a malaria vaccine.