Bridging Sectors: Partnerships Between Nonprofits and Private Developers

In recent years, partnerships between nonprofits and private developers to develop affordable housing have become a topic of increasing interest. Through a review of current literature and interviews with housing thought leaders, nonprofits, private developers, affordable housing capital sources and others, this paper seeks to explore multifamily rental housing development partnerships. More specifically, research identifies attributes critical to these partnerships, and the economic, social and political drivers to both partnerships and the subsequent negotiated partnerships terms.This paper concludes that there is a broad range of negotiated partnership terms between nonprofits and private developers. However, across all these relationships, both nonprofits and private developers prioritize two partnership terms: development fee profits, and degree of involvement and oversight. Further, research reveals while there are many different drivers shaping the decision to partner and subsequent partnership conditions, there are two key determinants: development experience and knowledge, and financial factors. Finally, while not all partnerships are beneficial, under the appropriate conditions, partnerships have the potential to not only build nonprofit capacity but also address some of our nation's affordable housing challenges

Predicting Sales for the Next Generation of Consoles in 2020

This paper will predict sales for the next generation of consoles by using the data of its predecessors. The estimated sales will be used to approximate the probability of a console selling within a range of possible units, the probability of one console outselling the other, and whether it will sell more than its predecessors. The two game consoles that will be researched in this paper are PlayStation and Xbox. Mathematical calculations and arguments will be included to support the findings of the results. Methods and programs such as Simple Linear Regression, Poisson Distribution and MATLAB are used for calculations

There is no Diophantine Quintuple

This paper will consider the works of He, Togbé and Ziegler along with Fujita to provide an expository explanation of the proof that Diophantine quintuples do not exist. The proof of this is an extension of Dujella’s work on proving that there is no Diophantine sextuple and that there are at most finitely many Diophantine quintuples

Prospects from systems serology research

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142338/1/imm12861.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142338/2/imm12861_am.pd

Random Forest Classification Algorithm

This paper looks at what a classification algorithm is and examines one such algorithm –  random forest. The paper then introduces the topics of entropy, information gain, classification trees and different classification voting methods used in the process. An example is used throughout the paper to demonstrate the concepts and how they link in a clear way and shows a full process used within random forests classification

Work group inclusion : test of a scale and model

We develop a theoretically based 10-item measure of work group inclusion comprised of two components (belongingness and uniqueness) and use this measure to empirically test the nomological network of work group inclusion developed by Shore et al. In Phase 1, we use two samples of full-time employees to develop and refine items as well as establish content validity. In Phase 2, we demonstrate convergent, discriminant, and incremental validity with both conceptually related and unrelated constructs. In Phase 3, we use data from an additional sample of employees and supervisors to test criterion-related validity and mediation by examining the multilevel relationships between inclusion and important antecedents and outcomes. Across the three phases of our study, the results demonstrate support not only for the factor structure, reliability, and validity of our work group inclusion measure but also for a theoretical model in which the construct of inclusion has important implications for individuals and organizations

Inclusive leadership : realizing positive outcomes through belongingness and being valued for uniqueness

We introduce a theoretically-grounded conceptualization of inclusive leadership and present a framework for understanding factors that contribute to and follow from inclusive leadership within work groups. We conceptualize inclusive leadership as a set of positive leader behaviors that facilitate group members perceiving belongingness in the work group while maintaining their uniqueness within the group as they fully contribute to group processes and outcomes. We propose that leader pro-diversity beliefs, humility, and cognitive complexity increase the propensity of inclusive leader behaviors. We identify five categories of inclusive leadership behaviors that facilitate group members' perceptions of inclusion, which in turn lead to member work group identification, psychological empowerment, and behavioral outcomes (creativity, job performance, and reduced turnover) in the pursuit of group goals. This framework provides theoretical grounding for the construct of inclusive leadership while advancing our understanding of how leaders can increase diverse work group effectiveness

Optimization of Capillary Gel Electrophoresis for the Analysis of Serum

Capillary gel electrophoresis (CGE) is a protein separation technique that could help identify disease biomarkers using microliters of human blood serum. Analytical techniques that separate serum proteins with high sensitivity and repeatability have the potential for significant clinical impact. This study examined multiple ways to improve current CGE methodology, such as the injection method, separation voltage, and serum concentration to buffer ratio. Electrokinetic injection with a 15kV separation and a 1:1.4 protein to buffer mass ratio were found to increase electropherogram resolution and repeatability. With these improvements, CGE may become an important future instrument for disease detection