THE EFFECT OF MANAGERIAL ABILITY ON FARM FINANCIAL SUCCESS

The effects of managerial ability on farm financial success are analyzed for a 1990 sample of Pennsylvania commercial dairy farms using structural latent variable techniques. Latent factors related to dairy, crop, and financial management are used with herd size to explain farm financial success, measured by net farm income. Results indicate the relative importance of each management variable toward farm financial success.Farm Management,

Multimorbidity:will it stand the test of time?

The concept of multimorbidity has risen in popularity over the past few years. It is use has led to, or coincided with, an increased recognition that patients often have more than one health problem which should not be treated in isolation. The motivation for more holistic, person-centred care that lies behind multimorbidity is to be welcomed. The 2016 National Institute for Health and Care Excellence multimorbidity management guideline helpfully makes recommendations in key areas that are important in the care of patients with complicated medical problems.However, we question the sustainability of the term for the following four reasons: (i) it is doctor and researcher centred rather than patient centred, focusing upon the number of diagnoses rather than the patient's lived experience, (ii) it is not a positive term for patients and is at odds with the move towards promoting active and healthy ageing, (iii) its non-specific nature means it holds little value in daily clinical practice and (iv) most definitions apply to a large segment of the population making it of limited use for health care planners. We argue that the complementary concepts of complexity and frailty would fit better with the delivery of patient centred care for people with multiple co-existing health problems and would be more useful to clinicians, commissioners and researchers

Applications of artificial intelligence to mission planning

The scheduling problem facing NASA-Marshall mission planning is extremely difficult for several reasons. The most critical factor is the computational complexity involved in developing a schedule. The size of the search space is large along some dimensions and infinite along others. It is because of this and other difficulties that many of the conventional operation research techniques are not feasible or inadequate to solve the problems by themselves. Therefore, the purpose is to examine various artificial intelligence (AI) techniques to assist conventional techniques or to replace them. The specific tasks performed were as follows: (1) to identify mission planning applications for object oriented and rule based programming; (2) to investigate interfacing AI dedicated hardware (Lisp machines) to VAX hardware; (3) to demonstrate how Lisp may be called from within FORTRAN programs; (4) to investigate and report on programming techniques used in some commercial AI shells, such as Knowledge Engineering Environment (KEE); and (5) to study and report on algorithmic methods to reduce complexity as related to AI techniques

A Three-Term Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization

Conjugate gradient methods are widely used for solving large-scale unconstrained optimization problems, because they do not need the storage of matrices. In this paper, we propose a general form of three-term conjugate gradient methods which always generate a sufficient descent direction. We give a sufficient condition for the global convergence of the proposed general method. Moreover, we present a specific three-term conjugate gradient method based on the multi-step quasi-Newton method. Finally, some numerical results of the proposed method are given

Robust designs for Poisson regression models

We consider the problem of how to construct robust designs for Poisson regression models. An analytical expression is derived for robust designs for first-order Poisson regression models where uncertainty exists in the prior parameter estimates. Given certain constraints in the methodology, it may be necessary to extend the robust designs for implementation in practical experiments. With these extensions, our methodology constructs designs which perform similarly, in terms of estimation, to current techniques, and offers the solution in a more timely manner. We further apply this analytic result to cases where uncertainty exists in the linear predictor. The application of this methodology to practical design problems such as screening experiments is explored. Given the minimal prior knowledge that is usually available when conducting such experiments, it is recommended to derive designs robust across a variety of systems. However, incorporating such uncertainty into the design process can be a computationally intense exercise. Hence, our analytic approach is explored as an alternative

Hawaiian stream ecology as exemplified by the streams of the Kipahulu District, Haleakala National Park

Western Region, National Park Servic

A Third Planet Orbiting HIP 14810

We present new precision radial velocities and a three-planet Keplerian orbit fit for the V = 8.5, G5 V star HIP 14810. We began observing this star at Keck Observatory as part of the N2K Planet Search Project. Wright et al. (2007) announced the inner two planets to this system, and subsequent observations have revealed the outer planet planet and the proper orbital solution for the middle planet. The planets have minimum masses of 3.9, 1.3, and 0.6 M_Jup and orbital periods of 6.67, 147.7, and 952 d, respectively. We have numerically integrated the family of orbital solutions consistent with the data and find that they are stable for at least 10^6 yr. Our photometric search shows that the inner planet does not transit.Comment: ApJL, accepte

The numerical solution of linear multi-term fractional differential equations: Systems of equations

This is a PDF version of a preprint submitted to Elsevier. The definitive version was published in the Journal of computational and applied mathematics and is available at www.elsevier.comThis article discusses how the numerical approximation of a linear multi-term fractional differential equation can be calculated by the reduction of the problem to a system of ordinary and fractional differential equations each of order at most unity.This article was submitted to the RAE2008 for the University of Chester - Applied Mathematics

The Ursinus Weekly, June 6, 1960

154 seniors receive diplomas here today: Scott addresses grads at 91st commencement • Post-graduation plans are made by senior class • Prizes awarded to outstanding Ursinus students • Ursinus receives $500 grant from Ford fund • Dr. Eugene Miller elected national Pi Gamma Mu V-P • Rev. Mr. Schellhase, Miss Kay Kerper engaged • Alpha Phi Omega elects new officers for next year • Admissions Office expects 274 freshmen in \u2764 class • Editorial: Tribute • Letters to the editor • Walden-by-the-sea • Explanation • Senior\u27s progress • Amico speaks • Lynne Crosley is All-American lacrosse player • Athletic teams elect captains for next year • Women\u27s tennis is undefeated for fourth year • Men\u27s tennis team ends 2-9 • Cindermen end season; Several records broken • Men receive letters for participation in sports • Vern Morgan makes fine showing at ICAA meet • Sallie Eikner is elected head of Alpha Sigma Nu • Coral Lee Koffke is elected new president of Whitians • Zeta Chi fraternity holds dinner dance on June 3 • Jim Faust and Dave Crisman to head Inter-Fraternity Council • Thirteen new members elected to Pi Gamma Mu • AYH Council announces new hosteling schedule • Kappa Delta Kappa sorority holds shower for members • Larry Habgood is elected new president of Delta Mu Sigmahttps://digitalcommons.ursinus.edu/weekly/1366/thumbnail.jp