Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward ecosystemic business models in the context of industrial internet

Purpose: This study explores business models within a particular domain of Industrial Internet. Design/Methodology/Approach: Building from theory, this study is conceptual in nature. Findings: This paper presents a business model framework for understanding the dynamics of value co-creation and co-capture from lifecycle and ecosystem configuration point of view. Research limitations/implications: This study stresses the need to understand how the integrated, co-dependent processes of value co-creation and co-capture influence on business models of individual firms in co-evolving business ecosystems. Practical implications: To fully benefit from the mutually connected opportunities enabled by IoT, it is important for firms to position themselves within the ecosystem in terms of the stage of product or service life cycle as well as the scale and scope of ecosystem configuration. Originality/value: The originality of this research thus relates to expanding the business model literature from ecosystemic perspective.
Adapting Knowledge Transfer Strategies to Fit the Academic

As a Business Development Manager based within a faculty of a large University, I am positioned directly between the strategies, management and reporting of knowledge transfer and Third Stream and the operational and development aspects of engaging academics and organisations with knowledge transfer and Third Stream projects. As such I am in an interesting position, able to reflect on the perspectives and conflicts between senior manager’s “Third Stream Strategies” and the drivers and interests of my colleagues within the academic community. The strategic initiatives of university senior management teams are driven by government and funding. They are designed to meet increasing demands for knowledge transfer and third stream activities and steer the university towards these new goals. Current measurements of this work tend towards the financial and entrepreneurial and are mapped to targets, definitions and outputs within government funding initiatives such as the Higher Education Innovation Fund. These measures are essential for monitoring and a key requirement for funds such as this, but these targets and strategies are effectively relayed directly to the academic community and have a significant impact on the perceived identity of the university, by academic staff.
Investigating the Impact of Organizational Culture on Innovation with Regard to the Mediating Role of Knowledge Sharing in the Electricity Distribution Company of Golestan province

The present study aims to investigate the relationship between organizational culture, knowledge sharing and innovation. The research population consists of all knowledge workers in the Electricity Distribution Company of Golestan province, from which 190 people were selected as samples using the non-random targeted sampling method. The research data was collected by distributing questionnaires among samples. After collecting data, the distribution of the data related to the variables was examined using the Kolmogorov–Smirnov test; then, the Pearson’s correlation coefficient and structural equation modeling were used to test the research hypotheses. The results of this study show that there is a significant relationship between variables of organizational culture, knowledge sharing and organizational innovation. Also, the results of examining the components of organizational culture demonstrated that adhocracy and clan cultures have positive effects on other variables while hierarchy and market cultures negatively affect the dependent variables. On the other hand, it was concluded that knowledge sharing can also play the mediating role between organizational culture and innovation.
ANALYZING THE RETAILER'S PROFIT IN ELECTRICITY MARKET BASED ON CONSUMER'S BEHAVIOR

Due to exchange costs, only huge consumers select direct buy from wholesale market. Most small and medium consumers, buy energy from retail market (this market has bought electricity from wholesale market). In this model, the “wires” activities of distribution companies are normally separated from their retail activities; because these companies no longer have the local monopoly for providing electricity in the area they cover. Thus, in this model the exclusive function is only related to constructing and exploiting the transmission and distribution network. Retailers are essential for small consumers, because small consumers buy electric energy from a retailer and hire a connection from their local distribution company. Contribution of small consumers in the market is not beyond the selection of a retailer between all the retailers, and also they do not have an active role like big consumers through direct buy from the market.
Does corporate governance have a differential effect on downside and upside risk?

Correspondence Searat Ali, School of Business, Faculty of Business and Law, University ofWollongong, Northfields Ave,WollongongNSW2522, Australia. Emails: searat@uow.edu. au Abstract We investigate whether corporate governance has differential effects on downside and upside risk. Intuitively, strong corporate governance should decrease the downside risk but increase the upside risk. However, using a large panel of 1164 non-financial Australian firms from 2001 to 2013, we find that strong corporate governance relates negatively not only to downside risk but also to upside risk. These findings are robust to alternative risk-taking and corporate governance proxies and alternative sample specifications.We also show that our main results are unaffected due to endogeneity bias by using firm and industry-year fixed effects, lagged independent variables, generalized method of moments and entropy balancing estimation techniques. In additional analyses, we document that our main results are homogeneous across different industries and for firms with varying levels of boardroom gender diversity. However, we find that our main results are driven by firms with lower ownership concentration aswell as by older andmoremature firms. Finally, we document that while reducing risk-taking (downside and upside risk), corporate governance reduces firm value. From a regulatory perspective, these findings raise questions on the design ofmonitoring-focused corporate governance recommendations and have implications for risk management.
A Wide Linear Output Range Biopotential Amplifier for Physiological Measurement Frontend

This paper presents a wide linear output range biopotential amplifier for physiological measurement frontend. The proposed amplifier consists of an open-loop rail-to-rail differential pair in the first stage and a closed-loop common source amplifier in the second stage, which extends the linear output range by maintaining a constant voltage gain with amplifier output level variation. The nMOS and pMOS gain enhancement switches provide additional compensation for the voltage gain degradation as the amplifier output level moves toward the supply rails. In addition, voltage buffers are used after the first and second stages to alleviate the loading effect. This enables using small-sized feedback resistors, where the amplifier performance is relatively insensitive to resistor mismatch. Aside from the wide linear output range, this approach leads to small silicon area, low power, and relatively high common mode rejection ratio and power supply rejection ratio, which are highly demanding for portable and implantable biomedical instrumentation frontend. The proposed amplifier is implemented using CMOS 0. 35μm technology (3.3 V supply) with core area of 0.063 mm2. Measurement results show a stable voltage gain of 46.3 dB for amplifier output range from 0.15 to 3.12 V, and a 0.04% total harmonic distortion with input amplitude of 15 mVpp. Furthermore, the amplifier operation is demonstrated with an actual ECG measurement setup.
A 30-Year Assessment of Phytoplankton Blooms in Erhai Lake Using Landsat Imagery: 1987 to 2016

Long-term information of phytoplankton bloom is critical for assessing the processes driving blooms in lakes. A three-decade survey of the phytoplankton blooms was completed for Erhai Lake from 1987 to 2016 with Landsat imagery. A modified three-band model using Landsat broad bands is developed by comparing reflectance data from Landsat imagery to two field datasets. The model is applied to the archived imagery (1987–2016) to predict chlorophyll-a (Chl-a). Predicted ln(Chl-a) and observed ln(Chl-a) measurements are significantly correlated (R2 = 0.70; RMSE = 0.13 ug/L). Bloom maps are generated by identifying Landsat pixels that have Chl-a concentrations larger than 20 ug/L as bloom area. Bloom extent and magnitude are estimated. Our study reveals that algal blooms first occurred in 1996 with a bloom area of 150 km2. Bloom occurred frequently from 2002 to 2016, with extreme blooms in 2003, 2013 and 2016. Algal blooms were mostly distributed in the northern and southern part of the lake. The proposed method uses one model for all Landsat images for Erhai Lake and can predict past blooms and extend the record to early years when field data is not available. The bloom extent and magnitude produced in this study can be used as the basis for the understanding of the processes that control the bloom outbreak.
Panel Macroeconometric Modeling

This paper provides a selective survey of the panel macroeconometric techniques that focus on controlling the impact of “unobserved heterogeneity” across individuals and over time to obtain valid inference for “structures” that are common across individuals and overtime. We consider issues of (i) estimating vector autoregressive models; (ii) testing of unit root or cointegration;(iii) statistical inference for dynamics imultaneous equations models;(iv) policy evaluation; and (v)aggregation and prediction.
Peptide and protein quantification: A map of the minefield

The increasing popularity of gel‐free proteomics technologies has created a strong demand for compatible quantitative analysis methods. As a result, a plethora of different techniques has been proposed to perform gel‐free quantitative analysis of proteomics samples. Each of these methods comes with certain strengths and shortcomings, and they often are dedicated to a specific purpose. This review will present a brief overview of the main methods, organized by their underlying concepts, and will discuss the issues they raise with a focus on data processing. Finally, we will list the available software that can help with the data processing from quantitative experiments. We hope that this review will thus enable researchers to find the most appropriate method available for their research objectives, and can also serve as a basis for creating a reliable data processing strategy.
A blended approach in a graduate teaching assistants' pre-service course to promote self confidence

The employment of postgraduate students as graduate teaching assistants (GTAs) to help in the delivery of undergraduate teaching, particularly in laboratories and tutorials has been used for many years throughout higher education institutions, including North America, UK, Australia, and New Zealand and is currently being used in Singapore. However, despite GTAs’ sound subject knowledge, research has shown that with their increasing numbers, it is important to provide an effective training course to adequately prepare them for the task of teaching ahead of them. This paper reports on a GTA Preparation Course undertaken by 166 participants in 2006, at Nanyang Technological University, Singapore. The course employed a blended learning approach using video-recorded ‘mini-lectures’, PBL videoed critical incidents, reflective learning, as well as self study materials through an online Blackboard platform. The blended learning environment facilitated a friendly cooperative space that allowed the flow of the learning process to proceed at its own pace. This environment encouraged self reflection and self evaluation, supported collaborative learning and problem solving skills, and facilitated tasks requiring analyses and evaluation of ‘real life’ teaching situations. It was considered important that participants experience the blended learning approach modeled in the course in order to encourage them to use a similar model in their own teaching. The course encouraged the use of technology to enhance and enrich student learning and to model active learning activities through video, group work, online materials and recorded presentations. Participants’ ratings of the course suggest that this was an effective pedagogy for promoting innovative educational technology and self-confidence in GTA’s teaching practice.
Securing Trustworthy Digital Repositories

Security is critical to repository trustworthiness. Recent international standards for Trustworthy Digital Repositories (TDRs) all specify some sort of security criteria that are necessary to adhere to in order to attain TDR status. However, little is known about how those who are responsible for addressing these criteria actually regard the concept of security. This study centers on digital repository staff members’ perceptions of security, including their perceptions of security criteria in standards for TDRs. This paper discusses findings from surveys and semi-structured interviews with staff from repositories that have recently acquired the nestor seal of approval. We found that participants considered the principles of confidentiality, integrity, and availability as relevant to their notions of security. We also found that participants considered the security criteria required to acquire the nestor seal of approval as both sufficient and appropriate for addressing their repositories’ needs. Implications for better understanding the security of digital repositories are discussed as well as directions for future research.
Solution providers' open business models : A view on partner networks, customer centricity, and business model performance

Research has highlighted the importance of open business models, yet concepts which explain factors influencing the performance of open business models are quite rare. Here, we build on network theory and investigate how the structural, relational, and cognitive dimension of networks - conceptualized as the network between a manufacturing company and its external service providers - influence the performance of open business models. We study the special case of solution providers which combine their own products with externally sourced services into solutions to better meet customer needs. A comparative case study with three successful solution providers suggests that the three network dimensions influence the performance of open business models and that the relationship is contingent on the level of customer centricity. Business models with low customer centricity need another network configuration with their partners in order to be successful than business models with high customer centricity.
Aircraft Power Supply Design using Soft-Switched Inverter

This paper describes the design of an aircraft power supply. Power supply design is done using a soft- switched Resonant DC Link Inverter (RDCLI). A novel current initialization scheme is adopted to avoid zero crossing failures. Zero-hysteresis bang-bang control is used for current control within the inverter. The designed power supply supports 400 Hz load. The soft-switched inverter provides adequate current regulator bandwidth besides reducing switching losses. The proposed solution is validated through extensive simulation.
The Relationship between Accounting Education & Accounting Practice: With Reference to Academics and Practitioners of Accounting Profession in Sudan

The effectiveness of accounting profession depends widely on the best accounting education outputs. The aim of this study is to examine the relationship between accounting education and accounting practice with particular reference to Academics and Practitioners of Accounting Profession in Sudan. The data has been collected through a well-structured questionnaire is designed and will be distributed to a randomly chosen sample of some practitioners of accounting and auditing profession in Sudan. Descriptive and inferential statistics were used to generalize the results and conclude the findings. The results suggest that accounting practice is declined because of the accounting courses at Sudanese universities not compatible with labor market needs, also shows that role of the accounting profession in Society depends on the best coordination between accounting education, accounting research and labor market needs.
Are CEOs Myopic? A Dynamic Model of the Ongoing Debate

Abstract We study the events that motivate CEOs to underinvest in R&D long-term projects (CEO myopia). Based on the existing literature in earnings management and agency theory, myopia is likely to become more problematic under five circumstances: when the CEO nears retirement (the CEO horizon problem), R&D projects have very long time horizons (the project horizon problem), the firm’s financial health is deteriorating (the cover-up problem), ownership structure is heavily weighted toward insider owners (minority owner oppression problem), and when the threat of hostile takeover increases (the entrenchment problem). We setup a dynamic simulation model in which rational CEOs maximize the total value of their bonus compensation over their tenure. Our findings related to the five circumstances are consistent with the extant literature. However, we found an unexpected stable, nonlinear (inverted U-shaped) relationship between CEO tenure and R&D investment. We discuss the theoretical implications of our model and offer suggestions for future research.
A model of information systems development project performance

abstract. Performance in information systems development (ISD) projects can be critical to business success. But, while project performance has been the subject of much debate, there has been little empirical research into its determinants. A survey of IS projects in the UK and New Zealand is analysed to test hypotheses concerning performance in terms of both project completion and budget (time‐cost) variances. Subsequently, a secondary analysis of the findings is used to build a more complete empirical model of project performance. The paper helps to develop the theory of IS development project performance and also has significant implications for practice. Discussion of the findings highlights the importance of project team dynamics, risk management, senior management support for strategic projects and user participation in ensuring successful IS project performance.
Quantification of Aortic Valvular Regurgitation in Dogs by Nuclear Imaging

SUMMARYRadionuclide gated cardiac blood pool (GBP) imaging was used to quantitatively assess the severity of acute aortic valvular regurgitation produced experimentally in 10 anesthetized dogs. Right ventricular (RV) and left ventricular (LV) stroke counts (end-diastolic minus end-systolic counts in RV and LV regions of interest) were used as indices of the stroke volumes of the two ventricles. Regurgitant fraction (RFGBp) was derived by assuming that an excess of LV stroke counts compared to RV stroke counts was due to regurgitant flow: RFGBP = LV stroke counts − RV stroke counts/LV stroke counts × 100. Regurgitant fraction (RFEMF) was also estimated directly from an electromagnetic flowmeter (EMF) on the ascending aorta. Mean RFEMF was 55.8 ± 17.9% (±SD). Close agreement was found between reauruitant fractions measured by GBP and EMF (RFGBP = 1.09, RFEMF − 4.7%, r = 0.88, p < 0.001, SEE = 9.98%). The severity of regurgitation from blood pool images also correlated closely with aortic pulse pressure (r = 0.89) and the length of the tear in the aortic valve (r = 0.84). These results suggest that blood pool imaging may be useful for noninvasive quantification of regurgitant flow in patients with valvular insufficiency.
Sleep Patterns and Sleep Problems Among Schoolchildren in the United States and China

Objectives. Sleep patterns and sleep problems in children are not only influenced by a large number of biological and psychologic factors but also by cultural and social factors. Little is known about similarities and differences in sleep patterns and sleep problems among children across countries. We attempted to compare sleep patterns and sleep problems among schoolchildren from 2 countries with distinctive cultural contexts: the United States and China. Methods. The data come from 2 cross-sectional surveys in 3 elementary schools of Jinan City, People's Republic of China, and 3 elementary schools from a suburban school district in southeastern New England, United States. The Chinese sample consisted of 517 elementary school children (grades 1 to 5), and the US sample consisted of 494 elementary school children (grades kindergarten through 4). We used the Children's Sleep Habits Questionnaire (CSHQ) to assess children's sleep patterns and sleep problems as reported by parents. Parents of the Chinese sample completed a Chinese version of the CSHQ. Results. For children in both the US and Chinese samples, reported bedtime was delayed and sleep duration decreased with increasing age. Compared with the US children (grades 1–4), Chinese children went to bed approximately half an hour later (9:02 vs 8:27 pm) and woke up half an hour earlier (6:28 vs 6:55 am), resulting in an average sleep duration that was 1 hour less (9.25 vs 10.15 hours). Chinese children were rated significantly higher than the US children on almost all CSHQ scales, indicating more sleep problems in Chinese children. Common sleep problems observed for all children were difficulty falling asleep, having a fear of sleeping in the dark, sleep talking, restless sleep, teeth grinding during sleep, and daytime sleepiness. Shorter daily sleep duration was associated with difficulty falling asleep, struggling at bedtime, and trouble sleeping away for the US children, and with going to bed at different times and having a fear of sleeping alone for Chinese children. Short sleep duration was a main predictor of daytime sleepiness for Chinese children, whereas restless sleep and snoring predicted daytime sleepiness for the US children. Conclusions. As reported by parents, children in China went to bed later and woke up earlier and their sleep duration was 1 hour shorter than the US children. Chinese children were reported to have more sleep problems than their US counterparts. Daytime sleepiness was determined by sleep duration only for those who slept insufficiently. Unique school schedules and sleep practices may contribute to the differences in the sleep patterns and sleep problems of children from the United States and China.