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Transitions to Professional Nursing Practice provides a pivotal learning experience for students transitioning from an associate degree education to a baccalaureate degree. Content includes a broad overview of the nursing profession, the role of accrediting and professional organizations with a strong focus on the American Nurses Association’s foundational documents. |
We present new descriptive evidence on the immigrant-native gap in risk and time preferences in Germany, one of immigrants’ most preferred destination countries. Using the recent waves of the Socio-Economic Panel (SOEP) dataset, we find that the immigrant-native gap in risk preferences has widened for recent immigration cohorts, especially around the time of the 2015 European Refugee Crisis. We attribute the recent widening to decreased assimilation rates of new immigrants caused by reduced integration due to sudden increases in immigrants flows from culturally diverse parts of the world, particularly around the year 2015. |
In response to the unprecedented uncertain rare events of the last decade, we derive an optimal portfolio choice problem in a semi-closed form by integrating price diffusion ambiguity, volatility diffusion ambiguity, and jump ambiguity occurring in the traditional stock market and the cryptocurrency market into a single framework. We reach the following conclusions in both markets: first, price diffusion and jump ambiguity mainly determine detection-error probability; second, optimal choice is more significantly affected by price diffusion ambiguity than by jump ambiguity, and trivially affected by volatility diffusion ambiguity. |
Living in a networked world means never really getting to decide in any thoroughgoing way who or what enters your “space” (your laptop, your iPhone, your thermostat . . . your home). With this as a basic frame-of-reference, James J. Brown’s Ethical Programs examines and explores the rhetorical potential and problems of a hospitality ethos suited to a new era of hosts and guests. Brown reads a range of computational strategies and actors, from the general principles underwriting the Transmission Control Protocol (TCP), which determines how packets of information can travel through the internet, to the Obama election campaign’s use of the power of protocols to reach voters, harvest their data, incentivize and, ultimately, shape their participation in the campaign. In demonstrating the... |
The concept of subordination, originally introduced in the probability and stochastic processes theories, has also appeared in analysis of evolution equations. So it is not surprising that we meet it in physics of complex systems, in particular when study equations describing diffusion and dielectric relaxation phenomena. Grace to intuitively understood decomposition of complex processes into their simpler and better known components, called parent and leading processes, subordination formalism enables us to attribute physical interpretation to integral decompositions representing plethora of solutions to anomalous diffusion and relaxation problems. |
We develop an exact cutting plane solution algorithm for a special class of bilevel programming models utilized for optimal price-bidding of energy producers in day-ahead electricity markets. The proposed methodology utilizes a suitable reformulation in which a key prerequisite for global optimality, termed bilevel feasibility, is relaxed. Solving the problem to global optimality involves finding the price-offers of the strategic producer (upper-level decision variables) which maximize his self-profit upon clearing of the market and identification of the optimal energy quantity distribution (lower-level decision variables). |
The lack of fine-grained 3D shape segmentation data is the main obstacle to developing learning-based 3D segmentation techniques. We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and a large amount of unlabeled 3D data. For the unlabeled data, we present a novel multilevel consistency loss to enforce consistency of network predictions between perturbed copies of a 3D shape at multiple levels: point level, part level, and hierarchical level. For the labeled data, we develop a simple yet effective part substitution scheme to augment the labeled 3D shapes with more structural variations to enhance training. |
We introduce stochastic loss into a gift exchange game to study how information on intentions affects reciprocity. In one treatment, the respondent observes the amount received and whether a loss occurred, so both the consequential outcome and the sender’s original intention are known. In the other two treatments, information about whether a loss occurred is hidden, and the respondent is only informed of the amount received (outcome) or the amount initially sent (intention). Using both regression-based approaches and non-parametric tests, we find greater reciprocity in the two treatments that reveal intentions. These differences arise even in a simple one-shot setting without reputational benefits and are economically meaningful; they are similar in magnitude to the difference attri... |
Since the production of the first commercially available blue LED in the late 1980s, silicon carbide technology has grown into a billion-dollar industry world-wide in the area of solid-state lighting and power electronics. With this in mind we organized this book to bring to the attention of those well versed in SiC technology some new developments in the field with a particular emphasis on particularly promising technologies such as SiC-based solar cells and optoelectronics. We have balanced this with the more traditional subjects such as power electronics and some new developments in the improvement of the MOS system for SiC MOSFETS. Given the importance of advanced microsystems and sensors based on SiC, we also included a review on 3C-SiC for both microsystem and electronic appli... |
The importance of credit in agriculture and technology adoption is well researched, but little is known about its impact on the intensity of climate adaptation strategies (CAS) utilization. To contribute to the literature on climate change, the study examines the impact of credit status on the intensity of CAS utilization with its treatment effects. Unlike previous studies that investigated CAS as binary decisions or multi-class models, the study changed the narrative by measuring the number of CAS adopted and utilized by crop farmers. Farm-level data were collected from 150 crop farmers in Southwest Nigeria using a well-designed questionnaire. Descriptive statistics and the endogenous treatment Poisson regression (ETPR) model were used for the data analysis. |
