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We study the impact of framing on leading‐by‐example. Our 2 × 2 design consists of group level frames (Wall Street vs. Community) and individual level frames (First/Second Movers vs. Leader/Followers). We report on two studies where we elicit participants' beliefs allowing us to evaluate whether framing effects are driven by beliefs or preferences. Across both studies, average contributions are significantly lower in the Community—First Mover frame. This is primarily because leaders contribute less, pulling down followers' contributions. We find that contributions are strongly related to first order and second order beliefs but framing effects remain once we control for beliefs. [ABSTRACT FROM AUTHOR]

Why do first movers into a new industry sometimes gain an advantage simply because of the fact that they are perceived by audiences to be more authentic than second movers, whereas in other contexts such second movers are perceived as no less authentic than first movers? We theorize that this difference hinges on the amount of costly, risky "legitimation work" that entrants are perceived to have conducted in their efforts to establish that the new organizational form is reliable and acceptable. Whereas a first mover must expend great effort to reassure skeptical audiences that the new form coheres with their norms and that it can meet and even exceed their standards, later arrivals are often able to appropriate such legitimacy once it has been established. But such appropriation by the second mover makes its (often implicit) claim of original insight or vision seem less authentic than that of the first mover. In three complementary online experiments on audience reactions to online healthcare startups, we find support for our prediction that followers suffer from a lower consumer preference because they are perceived to have done less work in establishing the new form's legitimacy. Our results show that when follower firms show evidence of participation in legitimation work, it may overturn the default interpretation and reduce the authenticity discount. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.17215. [ABSTRACT FROM AUTHOR]

Even though medical reports have been digitized, they are generally text data and have not been used optimally. Extracting information from these reports is challenging due to their high volume and unstructured nature. Analyzing the extraction of relevant and high-quality information can be achieved by measuring semantic textual similarity (STS). Consequently, the primary aim of this study is to develop and evaluate the performance of four models: Siamese Manhattan convolution neural network (CNN), Siamese Manhattan long short-term memory (LSTM), Siamese Manhattan hybrid CNN-LSTM, and Siamese Manhattan hybrid LSTM-CNN, in determining STS between sentence pairs in medical reports. Performance comparisons were conducted using Cosine Similarity and word mover's distance (WMD) methods. The results indicate that the Siamese Manhattan hybrid LSTM-CNN model outperforms the other models, with a similarity score of 1 for each sentence pair, signifying identical semantic meaning. [ABSTRACT FROM AUTHOR]

A non-inferiority trial is usually conducted to investigate whether a new drug/treatment is no worse than a reference drug/treatment by a small, pre-specified, non-inferiority margin. This study aimed to assess the non-inferiority of the difference between two binary-outcome treatments in a matched-pairs design based on the method of variance of estimates recovery (MOVER). The processes for estimating the confidence interval of a single proportion included in the MOVER are the Wilson score interval, Agresti – Coull interval, Jeffreys interval, modified Jeffreys interval, score method with continuity correction, and arcsin interval. The performance of the six MOVER tests, the fiducial test, and the restricted maximum likelihood estimation test were evaluated by comparing their type I error rates and power at different pre-assigned levels and with varying combinations of parameters. The evaluation results showed that the modified Jeffreys MOVER test can be a competitive alternative to the other recommended tests. It can control type I errors well, and its power is not inferior to other methods. The proposed tests were illustrated with three real-world examples. [ABSTRACT FROM AUTHOR]

Gamma distribution is widely used in applied fields due to its flexibility of accommodating right-skewed data. This article explores statistical methods for constructing confidence intervals for both the difference and ratio of two gamma means. We propose several methods based on the concepts of generalized inference, variance estimates recovery (MOVER) and parametric bootstrapping. The performances of proposed methods are evaluated and compared via a comprehensive simulation study. Simulation results show that the hybrid method that combines MOVER with parametric bootstrapping can provide confidence intervals with reasonable coverage probabilities and interval lengths even for parameter settings with small shape parameters. Finally, two real data examples from environmental and engineering studies are analyzed using the proposed methods. [ABSTRACT FROM AUTHOR]

Copyright of ABI Technik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Conventional stator–magnet moving−iron transverse−flux linear oscillatory machines (CSMTLOMs) are widely applied in directly−drive reciprocating devices due to the merits of easy fabrication and robust mover. However, in order to keep the mover vibrating at a certain resonance frequency to save the energy and enlarge the output power, they still suffer from a higher requirement on spring stiffness due to their thick and heavy mover core, which would also narrow the frequency band with a high power factor due to the large inertial energy storage of the heavy mover. Hence, to reduce the mover core weight to reduce the demand of the spring and improve the operation performance, an improved linear oscillatory machine featured by a spoke−type interior permanent magnet inner stator (ISMTLOM) is proposed. Benefiting from its separated two stators, the tangential flux in the radial plane can return through the inner stator core, so that the yoke of the mover core can be eliminated directly. Then, to analytically investigate the influence of the special axial local saturation effect, the segmental equivalent magnetic circuit (EMC) model of the ISMTLOM is established, wherein a saturation coefficient is introduced to quantitatively consider the local saturation effect on the output force. Consequently, several important size parameters are optimally selected when keeping the same outer diameter and copper loss as that of the CSMTLOM. Afterward, the three−dimension finite element algorithm (3D FEA) is adopted for the electromagnetic performance validation and comparison. Finally, it is found that the nonlinear segmental EMC corrected by the saturation coefficient can quickly predict the output force more accurately within the wide load range, and benefiting from the topology improvement, the ISMTLOM has the merits over the CSMTLOM in its smoother output force, much lighter mover core, and less demand of mechanical spring stiffness, whilst preserving the similar output force density. [ABSTRACT FROM AUTHOR]

Many theories of political participation imply that close elections increase voter turnout, but empirical support for this is mixed. One challenge is that close elections occur in unrepresentative places, making it difficult to extend counterfactual inferences across the wider electorate. In this note, I study closeness in an alternative way by leveraging those who move home between elections. With a large‐scale longitudinal survey in Great Britain, comparing individuals who move between safe and competitive parliamentary constituencies, I provide evidence that closeness increases campaign contact but generally fails to affect turnout. British movers are politically comparable to the wider electorate, so the results can be cautiously generalised. This contributes to substantive literature on voter and party‐led theories of participation, while adopting an empirical strategy seldom used in the study of political behaviour. [ABSTRACT FROM AUTHOR]

Fire incidents are something that every company must be aware of, because they can cause material and non-material losses. To deal with fires, a fire prevention and control system is needed. This system emphasizes preparation to prevent fires and can handle fires. However, the existence of a fire prevention and control system does not guarantee that a fire will not occur unless the fire prevention and control system is implemented well. Fire prevention program from PT PPA is a very important program to maintain the security, safety and successful operation of company facilities. Companies in the fuel storage area. The PPA preventive fire system is a digitalization program for detecting early indication of a series of fires. In principle, the PPA preventive fire system takes temperature readings in the fuel storage area which can then provide notifications or alerts to stakeholders in the fuel storage area using a certain algorithm so that they can provide messages via SMS (Short Message Service), WhatsApp Message and E-Mail. . Implementation of this system is an important step in mining work areas as the first preventive measure in the event of a fire. [ABSTRACT FROM AUTHOR]

The Fourth Industrial Revolution combined with the advent of artificial intelligence brought significant changes to humans' daily lives. Extended research in the field has aided in both documenting and presenting these changes, giving a more general picture of this new era. This work reviews the application field of the scientific research literature on the presence of machine vision in the Fourth Industrial Revolution and the changes it brought to each sector to which it contributed, determining the exact extent of its influence. Accordingly, an attempt is made to present an overview of its use in the Fifth Industrial Revolution to identify and present the changes between the two consequent periods. This work uses the PRISMA methodology and follows the form of a Scoping Review using sources from Scopus and Google Scholar. Most publications reveal the emergence of machine vision in almost every field of human life with significant influence and performance results. Undoubtedly, this review highlights the great influence and offer of machine vision in many sectors, establishing its use and searching for more ways to use it. It is also proven that machine vision systems can help industries to gain competitive advantage in terms of better product quality, higher customer satisfaction, and improved productivity. [ABSTRACT FROM AUTHOR]

Industry 4.0 expands upon the advancements of the Third Industrial Revolution by integrating many innovations from the digital, tangible, and biological realms. Industry 4.0 is an all-encompassing idea that signifies the trajectory towards which manufacturing and industrial production are progressing. Several businesses are inadvertently moving towards Industry 4.0 by integrating specific components of its concepts into their operations. The article aims to emphasise several opportunities and consequences that have emerged since the inception of Industry 4.0. Moreover, it seeks to illustrate the ways in which certain companies have been adjusting to these novel circumstances. The essay is structured into various sections, including a thorough examination of existing literature, emphasising the most noteworthy contributions to this topic. The subsequent section delineates the methods utilised in the investigation. The fourth segment validates the outcomes of the study through the presentation of a case study, while the concluding section offers a concise overview of the findings. [ABSTRACT FROM AUTHOR]

Leadership 4.0, also called digital leadership, is a novel construct that allows organizations to move towards Industry 4.0. The current research aims to validate the content of a measurement instrument of Leadership 4.0 by means of Lawshe's model (1975) modified by Tristan (2008). This was achieved with the cooperation of 5 experts in the field who evaluated the relevance of each of the items by means of 3 assessment categories: essential, useful but not essential and not necessary. Content validity ratio (CVR) results were obtained that exceeded the minimum cut-off point of 0.58 in 13 of the proposed items and an overall content validity index (CVI) of 0.73 was obtained, which is above the cut-off point, indicating that the instrument is conceptually valid. [ABSTRACT FROM AUTHOR]

With the healthcare industry moving towards self‐medication, the number of self‐service pharmacies stocking over‐the‐counter pharmaceuticals (OTCP) is rising. The aesthetic attributes of OTCP packaging are critical to attract consumers' attention against competing products. Moreover, sustainable design aims at minimising the negative environmental impacts of packaging. Studies show that stakeholders' interests should be represented more in pharmaceutical packaging, specifically in the early stages of the design process. For this reason, OTCP packaging design is challenging, as sustainable packaging is typically seen as unappealing. Within this context, this paper presents a novel and comprehensive framework aimed at supporting designers to develop aesthetically pleasing and sustainable OTCP packaging, placing multiple users at its core. Studies with OTCP packaging stakeholders were first conducted to identify the framework requirements together with the necessary OTCP packaging attributes. A framework architecture was developed and subsequently implemented in a proof‐of‐concept computer‐based tool. The framework and its implementation were evaluated with the OTCP packaging development stakeholders. Results provide a degree of evidence that the framework contributes significantly to guide OTCP packaging designers in taking the right decisions and can also provide the first steps towards considering aesthetics and sustainability in the packaging design in other sectors, namely, food and beverage. [ABSTRACT FROM AUTHOR]

The rise in global trade volumes since the early 90s has been welcomed by many under the notion that trade helps countries edge closer to their economic potential. A concerning observation, however, is that while Asia, Latin America, and Europe seem to have witnessed a discernible rise in per capita income during this period and moved closer to their economic potential, sub-Saharan Africa (SSA) does not seem to have recorded as much success. Defining economic potential as maximum possible income from given resources and existing technology, the results presented here for a panel of 22 sub-Saharan countries observed between 1995 and 2021 confirm that the region's ability to edge closer to its full potential was heavily undermined by its small and shrinking manufacturing sector, a result that is replicated by counterfactual methods. In policy senses against this background, SSA may need to reconsider its widespread deindustrialization model and rejuvenate manufacturing. This policy implication feeds into the broader discussion of premature deindustrialization in SSA and its economic consequences. Evidence suggests that reversing this trend through expanding manufacturing potentially lifts about 50% of the sampled countries (including Rwanda, Togo, Guinea, Niger, Sierra-Leone, Gambia, Benin, Uganda, and Mozambique) from low-income status to middle-income status. [ABSTRACT FROM AUTHOR]

Gentrification is a process whereby neighbourhoods and their socio-economic composition upgrade through residential moves and social mobility. Relatively little attention has been paid to the spatial aspect of gentrification-induced residential moves. This systematic literature review focuses on the origin and destination of moves to and from gentrifying neighbourhoods, by gentrifiers (movers in) and displacees (movers out). It identifies where, when, and how such research has been conducted and highlights gaps in the literature. Our results suggest that the destination of displaced households has been studied extensively, while an understanding of the spatial origins of gentrifiers is lacking. The few studies dedicated to gentrifiers' origins mostly focus on intra-urban environments, overlooking potential mobility dynamics from outside the city-region. We highlight that capturing both origins and destinations of movers at different spatial scales is necessary to demonstrate how residential mobility creates interactions and demographic interdependencies between neighbourhoods and cities. [ABSTRACT FROM AUTHOR]

The widely used wavelet-thresholding techniques (DWT-H and DWT-S) have a near-optimal behavior that cannot be enhanced by any local denoising filter, but they cannot utilize the similarity of small-size image patches to enhance the denoising performance. Two of the latest improvements (WNLM and NLMW) introduced the Euclidean distance to measure the similarity of image patches, and then used the non-local meaning of similar patches for further denoising. Since the Euclidean distance is not a good similarity measurement, these two improvements are limited. In this study, we introduced the earth mover's distance (EMD) as the similarity measure of small-scale patches within the wavelet sub-bands of noisy images. Moreover, at higher noise levels, we further incorporated joint bilateral filtering, which can filter both the spatial domain and the intensity domain of images. Denoising simulation experiments on BSDS500 demonstrated that our algorithm outperformed the DWT-H, DWT-S, WNLM, and NLMW algorithms by 4.197 dB, 3.326 dB, 2.097 dB, and 1.162 dB in terms of the average PSNR, and by 0.230, 0.213, 0.132, and 0.085 in terms of the average SSIM. [ABSTRACT FROM AUTHOR]

This document, titled "2017-631, Disciplinary Process if Member Preferring Charges is Subsequently Charged," discusses the disciplinary process within a fraternal order. Member A submitted disciplinary charges against Member B, which must be considered at the next convention in 6 months. However, in the intervening time, Member C, a friend of Member B, made similar charges against Member A. Despite Member A no longer having speaking rights at the second convention, the charges against Member B can still be considered. The document also mentions different processes followed by organizations and suggests amending the bylaws to allow suspension only on a specific vote. [Extracted from the article]

With the power industry moving toward a green and low-carbon direction, renewable energy is occupying an increasingly larger share in the power system. However, compared with traditional thermal power generation, the instability of new energy generation is very prominent, which also leads to a decrease in the inertia of the power system after the grid integration of a high proportion of renewable energy. If no measures are taken, this may lead to frequency collapse accidents. Therefore, this paper first introduces two international major power outage accidents that have occurred in recent years, analyzing the causes, and then summarizes the inspiration obtained from the accidents. Subsequently, some research results on low inertia-related issues in the power system caused by the high proportion of new energy grid integration in recent years were summarized and analyzed from three aspects: inertia evaluation methods, optimal operation measures for the power system, and under frequency load-shedding (the abbreviation "ULFS" in the following text stands for it) schemes. Finally, suggestions were made for future research directions. [ABSTRACT FROM AUTHOR]

Today, it is an accepted fact that the way for businesses to be competitive under the hard conditions they are in is possible through innovation. Thanks to innovation, it is possible to adapt to technological developments, to respond to the changes required by the age, and to make competition sustainable. This article aims to test whether there is a meaningful difference between the perception of competitive position and innovation level. To determine 225 businesses located in the İnegöl district of Bursa and members of the IMOS association constitute the research universe. The sample frame is 384 business owners and managers taking place in these businesses. Data were collected using a face-to-face survey technique. The data obtained because of the survey were tested with factor, reliability, frequency, correlation, T-Test and ANOVA analyses using SPSS. As a result of the analyzes made, the perceptions of the product, strategy, process and market innovation, which are the sub-dimensions of the innovation level variable, show significant differences according to the companies’ entry into the market as first movers and followers, their competitiveness and branding levels. It has been determined that there is a positive and significant relationship between the variables in the study and the sub-dimensions of the variables. [ABSTRACT FROM AUTHOR]

Copyright of H-Industria: Revista de Historia de la Industria Argentina y Latinoamericana is the property of H-Industria, Revista de Historia de la Industria Argentina y Latinoamericana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: Near misses are important references for the construction industry to move toward zero injuries, and are of great significance in reducing accidents and improving safety education. To fully improve the construction industry's understanding and standardize the management process of near-miss events, this paper describes a systematic review of the research front and intellectual basis of near-miss events based on scientometric technique and CiteSpace. Design/methodology/approach: The authors reviewed and summarized the research wave and definitions of near-miss events in construction. The science mapping approach is used to conduct quantitative analyses of 120 relevant articles published between 2009 and 2019. Three research themes are identified via author analysis, keyword analysis and co-citation analysis: the construction of near-miss management systems, near-miss events research and characteristic research. Findings: It is found that improving the data collection method to maximize the quality of near-miss reports, optimizing and verifying the event analysis model considering the characteristics of near-miss events in construction, establishing a more comprehensive framework for the analysis of near-miss events and building a highly inclusive technology integration platform are the four main development directions for the future. Originality/value: According to Heinrich's law, incidents are mainly blamed on near-miss events such as workers' unsafe behaviors. Due to the complexity and variability of the construction site, near-miss events in construction may have different features. This article helps promote the understanding of near misses in academia, standardizing the management process of near-miss events, which is conducive to mining the potential value of such events in practice. Some insights into the research front and the intellectual base of near-miss research in construction are proposed. [ABSTRACT FROM AUTHOR]

Given a store layout, product categories grouped into shelves, and historical sales data, we investigate how the allocation of product categories can be optimized in a fashion that guides in-store traffic and stimulates impulse buying. The latter constitutes an important shopping behavior that amounts to over 50% of the revenue in some retail settings. Considering a small-scale grocery store in Beirut, we analyze 40,000 customer receipts in order to relate in-store customer traffic to product shelf allocations and the store layout. This prompts the development of a predictive regression model that estimates traffic densities along a shelf as a function of the shelf-space allocation and the location of the shelf in the store. This traffic model captures a "ripple effect"--that is, the change in traffic throughout the store resulting from any change in product allocation to shelves. The customer traffic model is embedded within a mixed-integer nonlinear program that sets the shelf allocations across the entire store, thereby prescribing better location and shelf-space decisions for all product categories in a way that maximizes impulse buying. To overcome the computational challenges posed by the model, we develop a linear approximation for the traffic construct in the objective function, while keeping bilinear terms in the formulation, in order to derive lower and upper bounds on the optimal objective value. Our methodology produces a layout that yields a 65% improvement in the expected impulse profit for the grocery store in Beirut. Managerial insights into the structure of the proposed store configuration are also discussed. Specifically, the allocation of a fast-mover to a shelf directly drives traffic, not only through adjacent shelves, but also, indirectly, through more distant shelves that lead to it. This, in turn, creates advantageous locations for highimpulse products, which may not be in the immediate vicinity of fast-movers. Finally, the study suggests that, from an impulse profit perspective, the location of a product category in the store is more important than adjusting the amount of shelf space that it is allocated. This challenges the classical research approach whereby extensive effort is invested to determine the relative space of products along a single shelf, taken in isolation, without considering its location in the store. [ABSTRACT FROM AUTHOR]

The China-Pakistan Economic Corridor (CPEC) is a massive undertaking worth more than $ 55 billion, as a result of which the proportionate relationship between Pakistan and China has reached new heights. CPEC should seek to build partnerships between Pakistan and the associations of roads, railway lines, and oil pipelines associated with energy, power, and other systems to ensure a lack of important energy to enhance the advance related to money in Pakistan. CPEC is a lucrative opportunity for Pakistan's moving industry. The CPEC is widely regarded as beneficial to Pakistan's transportation and tourism industries. Through improved structure and transportation, the formation of special currency zones, increased trade movement, and increased trade and trade, the CPEC will alter Pakistan's monetary and trading environment. It relies on individuals from both countries for crucial benefits through the CPEC because it is a tireless attempt with a sane and smooth finish. The main motivation behind this post is to gain knowledge in the advancement of normal appreciation of China's impetus for the revival of the Silk Road, as well as the benefits and challenges for economic movement that the CPEC can bring to border countries, especially Pakistan. An especially original duty will provide us a lot of room to dramatically foster various inventive hotbeds to undermine the idea of organizations and the overall travelers experience in these new traveler places. [ABSTRACT FROM AUTHOR]

Copyright of Hypnos is the property of Hypnos / Instituto Hypnos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We introduce a new unbinned two sample test statistic sensitive to CP violation utilizing the optimal transport plan associated with the Wasserstein (earth mover's) distance. The efficacy of the test statistic is shown via two examples of CP asymmetric distributions with varying sample sizes: the Dalitz distributions of B0 → K+π−π0 and of D0 → π+π−π0 decays. The windowed version of the Wasserstein distance test statistic is shown to have comparable sensitivity to CP violation as the commonly used energy test statistic, but also retains information about the localized distributions of CP asymmetry over the Dalitz plot. For large statistic datasets we introduce two modified Wasserstein distance based test statistics — the binned and the sliced Wasserstein distance statistics, which show comparable sensitivity to CP violation, but improved computing time and memory scalings. Finally, general extensions and applications of the introduced statistics are discussed. [ABSTRACT FROM AUTHOR]

• Syntax-aware Word Mover's Distance (SynWMD), a method for sentence similarity evaluation, is proposed. • Word importance is inferred from the graph built by the syntactic parse trees. • The local syntactic parsing structure of words is considered in computing the distance between words. • Experiments on semantic textual similarity tasks and sentence classification tasks have shown the effectiveness of Syn-WMD. Word Mover's Distance (WMD) computes the distance between words and models text similarity with the moving cost between words in two text sequences. Yet, it does not offer good performance in sentence similarity evaluation since it does not incorporate word importance and fails to take inherent contextual and structural information in a sentence into account. An improved WMD method using the syntactic parse tree, called Syntax-aware Word Mover's Distance (SynWMD), is proposed to address these two shortcomings in this work. First, a weighted graph is built upon the word co-occurrence statistics extracted from the syntactic parse trees of sentences. The importance of each word is inferred from graph connectivities. Second, the local syntactic parsing structure of words is considered in computing the distance between words. To demonstrate the effectiveness of the proposed SynWMD, we conduct experiments on 6 textual semantic similarity (STS) datasets and 4 sentence classification datasets. Experimental results show that SynWMD achieves state-of-the-art performance on STS tasks. It also outperforms other WMD-based methods on sentence classification tasks. [ABSTRACT FROM AUTHOR]

In recent years, while scholarly work on new immigrant destinations (NIDs) within the United States and Europe has increased, little attention has been given the role and significance of the migration industry in promoting the emergence of NIDs. This is a particularly significant lacuna as some Asian nations are undergoing dramatic migration transition despite the lack of immigration regulatory infrastructure. In this context, focusing on the role of commercial intermediaries play in the formation of NIDs is an important perspective in understanding migration transition in Asia. Drawing on qualitative interviews with Filipino domestic workers and intermediaries, this paper analyzes how intermediaries promote Mainland China as a new destination for the Filipino domestic workers by creating a new promising market, border-crossing tactics, as well as managing migrant workers using training and control strategies at ground level. [ABSTRACT FROM AUTHOR]

Non-negative matrix factorization (NMF) is widely used as a powerful matrix factorization tool in data representation. However, the traditional NMF, measured by Euclidean distance or Kullback–Leibler distance, does not take into account the internal implied geometric information of the dataset and cannot measure the distance between samples as well as possible. To remedy the defects, in this paper, we propose the NMF method with Earth mover's distance as a metric, for short GSNMF-EMD. It combines graph regularization and L 1 / 2 smooth constraints. The GSNMF-EMD method takes into account the intrinsic implied geometric information of the dataset and can produce more sparse and stable local solutions. Experiments on two specific image datasets showed that the proposed method outperforms related state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Copyright of Research Papers of the Wroclaw University of Economics / Prace Naukowe Uniwersytetu Ekonomicznego we Wroclawiu is the property of Uniwersytet Ekonomiczny we Wroclawiu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Digital transformation is the direction that the Chinese construction industry is moving toward. This paper aims to investigate its current status, major barriers, and potential impact. To achieve this goal, a questionnaire survey was carried out. The results show that 80% of enterprises where the industry experts work have already formulated digital transformation plans or made plans. Additionally, BIM software was the most commonly used digital technology. Furthermore, "Data Fragmentation", "Lack of Core Technology", "Weak Digital Infrastructure Allocation", "Lack of Technical Personnel", and "Lack of Technical Standards" were prominent barriers. Moreover, digital transformation was perceived to affect the procurement management mostly at a project level, and to affect the governance performance mostly at an enterprise level. These findings can provide scholars and practitioners with an in-depth understanding of digital transformation in the Chinese construction industry. They might also help policymakers formulate appropriate policies to promote digital transformation. [ABSTRACT FROM AUTHOR]

The first mover advantage is a critical factor for the productivity of firms that enter new markets. Surprisingly, however, the importance of timing is rarely explored in studies of interest groups and their influence on new policy agendas. In this article, we therefore develop a theory of first mover advantages in lobbying. We argue that especially more resourceful and more highly affected organizations should be able to benefit from early lobbying. Using granular survey data on the timing of lobby efforts by interest groups on Covid-19 related policies in 10 European democracies, we test this novel theory. Our results show that timing is an important predictor of lobbying influence, but that interest groups which are hardly affected by a new policy cannot benefit from early mover advantages in the same way as affected organizations. Moreover, we give evidence for differences in first mover advantages depending on organizational staff resources. [ABSTRACT FROM AUTHOR]

In this article, a finite-time controller is designed on high-precision positioning for an inertial reference unit (IRU) with asymmetric loads and mover sideslip based on a finite-time extended state observer (ESO). The asymmetric loads caused by centroid deviation from central axis are a negative factor, which results in a negative load torque for IRUs. The mover sideslip is another negative factor that brings about output forces errors between actual output forces and theoretical output forces for voice coil motors. The finite-time ESO is designed to estimate and compensate the asymmetric loads and mover sideslip. The finite-time controller is proposed with high convergence rate for the IRU. Experimental results are presented to show effectiveness of the proposed finite-time control method in high-precision positioning under asymmetric loads and mover sideslip. [ABSTRACT FROM AUTHOR]

The present study is a secondary analysis of publicly available data pertaining to 44 health administration faculty salaries within the University System of Georgia. Data analysis indicates that overall, mean salaries of entry-level health administration faculty at the rank of Assistant Professor have not kept pace with inflation and are below the median industry salary in health administration. Salaries of health administration faculty at the ranks of Associate Professor and Professor are more in line with current industry salaries and have kept pace with inflation. The study also looks at the breakdown of mean salaries for health administration faculty housed in different schools at different colleges and universities, specifically the School of Business, School of Health, and School of Public Health, and discusses whether it is financially feasible to leave to leave the industry for academia in the present environment. [ABSTRACT FROM AUTHOR]

The impact of digital revolution is undeniable in almost all aspects of our life including orthodontics. Is the impact of the artificial intelligence (AI) revolution the same? This article claims that AI will similarly have a huge impact on almost everything in the coming years including orthodontic devices. In this paper, the potential for usage of AI in different orthodontic devices and particularly in Independent Movers is compared. [ABSTRACT FROM AUTHOR]