Educating for Practice in the Chicano Community

This paper conveys one perspective on the development and implementation of a training curriculum designed within a framework of knowledge, values, and skills essential for compatible and complementary social work practice in the Chicano community. It reflects the theoretical foundations upon which the Chicano Training Center is constructing a continuing education program for social service and mental health personnel. Curriculum content areas and emphases, as well as training modalities, are discussed and suggested as possible means for educating practitioners to better understand and serve Mexican Americans. The development of bicultural practice models in service delivery systems is also stressed.     

Identification,Estimation, and Control of Uncertain Dynamic Systems: A Nonparametric Approach

This article is devoted to a presentation of the author' practice of the non-parametric estimation theory for the estimation, filtering, and control of uncertain dynamic systems. The fundamental advantage of this approach is a weak dependency on prior modeling assumptions about uncertain dynamic components. This approach appears to be of great interest for the control of general discrete-time processes, and in particular, biotechnological processes, which are emblematic of nonlinear uncertain and partially observed systems.     

Efficiency of tests based on weighted rankings for equality of treatment effects in a complete randomized blocks layout

Quade (1972,1979) proposed a family of nonparametric tests based on a method of weighted within-block rankings, for testing the hypothesis of no treatment effects in a complete randomized blocks layout.

In this paper we obtain an expression for the Pitman asymp-totic relative efficiency of these tests with respect to the Friedman test.     

The Effectiveness of Educational Programs to Improve Recognition and Reporting of Elder Abuse and Neglect: A Systematic Review of the Literature

Health professionals often lack adequate protocols or knowledge to detect, manage, and prevent elder maltreatment. This systematic review describes and evaluates existing literature on the effectiveness of educational interventions to improve health professionals' recognition and reporting of elder abuse and neglect. Fourteen articles described 22 programs ranging from brief didactics to experiential learning and targeted a variety of health and social service audiences. Most evaluations were limited to satisfaction measures. These programs may result in increased awareness, collaboration, and improved case finding. However, using the published literature to guide new program planning is constrained by lack of details and limited evaluations.     

Support networks and social support for persons with psychiatric disabilities—a Swedish mixed-methods study

The aim of this study was to explore the structure, interaction, and function of the support networks of women and men with psychiatric disabilities. The study took a mixed-methods approach, using quantitative (n=181) and qualitative (n=42) data from a region in southern Sweden. The quantitative results showed that the respondents received widespread support of different types and from many different sources. However, the qualitative interviews revealed that many of the interviewees did not perceive the received support as supportive. The respondents’ internal resources influenced both their ability to receive support and their perception of the support. The informal and formal support sources formed the external resources of the respondents. Our interviewees often experienced formal support as conditional support, while informal support from the family was experienced as unconditional. There was thus a gap between the structure and function of the social support. This article contributes important knowledge from the perspective of persons with psychiatric disabilities.     

Adaptive and Generative Learning: Implications from Complexity Theories

One of the most important classical typologies within the organizational learning literature is the distinction between adaptive and generative learning. However, the processes of these types of learning, particularly the latter, have not been widely analyzed and incorporated into the organizational learning process. This paper puts forward a new understanding of adaptive and generative learning within organizations, grounded in some ideas from complexity theories: mainly self‐organization and implicate order. Adaptive learning involves any improvement or development of the explicate order through a process of self‐organization. Self‐organization is a self‐referential process characterized by logical deductive reasoning, concentration, discussion and improvement. Generative learning involves any approach to the implicate order through a process of self‐transcendence. Self‐transcendence is a holo‐organizational process characterized by intuition, attention, dialogue and inquiry. The main implications of the two types of learning for organizational learning are discussed.     

A simple algorithm for the adaptation of scores and power behavior of the corresponding rank test

The purpose of this paper is twofold:On one hand we want to give a very simple algorithm for evaluating a special rank estimator of the type given in Behnen, Neuhaus, and Ruymgaart (1983) for the approximate optimal choice of the scores-generating function of a two-sample linear rank test for the general testing problem H_o:F=G versus H₁:F ≤ G, F ≠ G, in order to demonstrate that the corresponding adaptive rank statistic is simple enough for practical applications. On the other hand we prove the asymptotic normality of the adaptive rank statistic under H (leading to approximate critical values) and demonstrate the adaptive behavior of the corresponding rank test by a Monte Carlo power simulation for sample sizes as low as m=10, n=10.     

The Extended Skew-Exponential Power Distribution and Its Derivation

We consider an extended family of asymmetric univariate distributions generated using a symmetric density, f, and the cumulative distribution function, G, of a symmetric distribution, which depends on two real-valued parameters λ and β and is such that when β = 0 it includes the entire class of distributions with densities of the form g(z | λ) = 2 G(λ z) f(z). A key element in the construction of random variables distributed according to the family is that they can be represented stochastically as the product of two random variables. From this representation we can readily derive theoretical properties, easy-to-implement simulation schemes, as well as extensions to the multivariate case and an explicit procedure for obtaining the moments. We give special attention to the extended skew-exponential power distribution. We derive its information matrix in order to obtain the asymptotic covariance matrix of the maximum likelihood estimators. Finally, an application to a real data set is reported, which shows that the extended skew-exponential power model can provide a better fit than the skew-exponential power distribution.     

Reports of Conferences,Institutes, and Seminars

Abstract

This column covers several conference sessions from the 14th annual Electronic Resources & Libraries Conference, providing guidance on how to navigate ebook duplication, improving documentation and workflows, implementing OpenAthens, and experiences with Project SILLVR (Streaming Interlibrary Loan Video Resources)and knowledge bases and related tools (KBART) automation. There is also a report from IFLA’s SIG Library Publishing Mid-Term meeting, which was an ideological meeting in nature, discussing community building, resource sharing, and status updates. A report from the 2018 Charleston Conference is also included.     

Use of satellite data in agricultural surveys

A major application of satellite remote sensing is the estimation of the acreage of agricultural crops. The potential for crop yield estimation using satellite remote sensing exists, but research in this area is still in its early stages. In this paper we survey the methodology for using remotely sensed data in agricultural surveys, based primarily on research conducted during the Large Area Crop Inventory Experiment (LACIE) and the follow-on program Agricultural Research and Inventory Surveys Through Aerospace Remote Sensing (AgRISTARS). The data obtained from multispectral scanner (MSS) and thematic mapper (TM) sensors onboard the Landsat series of satellites are described. Approaches for preprocessing, transferring, and modeling these data for understanding the relationship between their temporal behavior and crop growth cycles are discussed. Finally, techniques for crop identification and area and yield estimation are briefly described