Tax Consequences of Purchases of Computer Hardware and Software

The advent of the computer age has resulted in a significant increase in the investment by businesses in computer hardware and software. The term hardware refers to the physical equipment which accepts (input), processes, and prints (output) information received by it. The term software refers to the instructions (language) used to direct a computer to perform desired tasks and the documentation (discs, tapes, etc.) on which such instructions are recorded.\u27 Examples of types of software include Basic, Fortran, Cobol, and RPG. This article addresses the tax aspects and planning opportunities associated with the purchases of computer hardware and software

The Use of Short-Term Trusts in Conjunction With Interests in Oil or Gas Properties: A Practitioner\u27s Guide

This article will address the tax consequences of the funding of a short-term trust with an interest in oil or gas wells. At the end of this article there is set forth as Appendix 11 a form of short-term trust which could be used for this purpose. Appendix 11 contains an example of a situation where such use would be appropriate and a computation of the tax savings which can be generated by the use of such a trust

Harnessing Crowds: Mapping the Genome of Collective Intelligence

Over the past decade, the rise of the Internet has enabled the emergence of surprising new forms of collective intelligence. Examples include Google, Wikipedia, Threadless, and many others. To take advantage of the possibilities these new systems represent, it is necessary to go beyond just seeing them as a fuzzy collection of “cool” ideas. What is needed is a deeper understanding of how these systems work. This article offers a new framework to help provide that understanding. It identifies the underlying building blocks—to use a biological metaphor, the “genes”—at the heart of collective intelligence systems. These genes are defined by the answers to two pairs of key questions: – Who is performing the task? Why are they doing it? – What is being accomplished? How is it being done? The paper goes on to list the genes of collective intelligence—the possible answers to these key questions—and shows how combinations of genes comprise a “genome” that characterizes each collective intelligence system. In addition, the paper describes the conditions under which each gene is useful and the possibilities for combining and re-combining these genes to harness crowds effectively. Using this framework, managers can systematically consider many possible combinations of genes as they seek to develop new collective intelligence systems. ∗ University of Maryland

ELECTRONIC MARKETS AND ELECTRONIC HIERARCHIES: EFFECTS OF INFORMATION TECHNOLOGY ON MARKET STRUCTUR CORPORATE STRATEGIES

This paper analyzes the fundamental changes in market structures that may result from the increasing use of information teChnology. First, an analytic framework is presented and its usefulness is demonstrated in explaining several major historical changes in American business structures. Then, the framework is used to help explain how electronic markets and electronic hierarchies will allow closer integration of adjacent steps in the value-added chains of our economy. The most surprising prediction is that information technology will lead to an overall shift toward proportionately more coordination by markets rather than by internal decisions within firms. Finally, several examples of companies where these changes are already occurring are used to illustrate the likely paths by which new market structures will evolve and the ways in which individual companies can take advantage of these changes

The Climate CoLab: Large scale model-based collaborative planning

The Climate CoLab is a system to help thousands of people around the world collectively develop plans for what humans should do about global climate change. This paper shows how the system combines three design elements (model-based planning, on-line debates, and electronic voting) in a synergistic way. The paper also reports early usage experience showing that: (a) the system is attracting a continuing stream of new and returning visitors from all over the world, and (b) the nascent community can use the platform to generate interesting and high quality plans to address climate change. These initial results indicate significant progress towards an important goal in developing a collective intelligence system - the formation of a large and diverse community collectively engaged in solving a single problem.Cisco Systems, Inc.Argosy FoundationMIT Energy InitiativeMIT Sloan Sustainability Initiativ

Symmetric Fibonaccian distributive lattices and representations of the special linear Lie algebras

We present a family of rank symmetric diamond-colored distributive lattices that are naturally related to the Fibonacci sequence and certain of its generalizations. These lattices re-interpret and unify descriptions of some un- or differently-colored lattices found variously in the literature. We demonstrate that our symmetric Fibonaccian lattices naturally realize certain (often reducible) representations of the special linear Lie algebras, with weight basis vectors realized as lattice elements and Lie algebra generators acting along the order diagram edges of each lattice. We present evidence that each such weight basis is, in a certain sense, uniquely associated with its lattice. We provide new descriptions of the lattice cardinalities and rank generating functions and offer several conjectures/open problems. Throughout, we make connections with integer sequences from the OEIS.Comment: 18 page

Modeling Surface and Subsurface Pesticide Transport Under Three Field Conditions Using PRZM-3 and GLEAMS

Contaminant transport models should be evaluated over a wide range of conditions to determine their limitations. The models PRZM and GLEAMS have been evaluated many times, but few studies are available in which predicted movement in runoff and percolate were simultaneously evaluated against field data. Studies of this type are essential because pesticide leaching and runoff are mutually dependent processes. For this reason, PRZM-3 and GLEAMS were evaluated for their ability to predict metribuzin concentrations in runoff, sediment, subsurface soil, and pan lysimeters under three field conditions (yard waste compost amended, no-till, and conventional-till) on a Lowell silt loam soil. Sensitive input parameters were either site specific (climatic, soil, and chemical) or calibrated (K-factor, C-factor, curve number). In general, both models under-predicted metribuzin concentration in runoff water, runoff sediment, subplow layer soil (15-75 cm), and pan lysimeter water (75 cm). Contrary to field data, both models predicted that a large percentage (\u3e 50%) of metribuzin would move below the “mixing zone” (top 1 cm) during the first rainfall event after application. Relatively little metribuzin was predicted to move beyond the plow layer (top 15 cm) into the pan lysimeters or subsurface soil throughout the simulation period, possibly due to the lack of a macropore component in the models. High metribuzin concentrations in sediment (field data) indicated that relatively little metribuzin moved below the “mixing zone”, possibly because of hysteresis but much of the metribuzin that did move was quickly transported into the pan lysimeters, probably due to macropore flow. GLEAMS more accurately predicted pesticide concentration in sediment and PRZM predicted subsurface soil concentration somewhat more accurately than GLEAMS. Little difference in accuracy was detected between models on metribuzin concentration in runoff or metribuzin concentration in percolate. Although both models generally under-predicted metribuzin concentration in runoff, runoff transport (mass of metribuzin in runoff) for the study period was over-predicted by both models which emphasizes the importance of accurately predicting herbicide concentration and runoff volume soon after application when the surface pesticide concentrations are highest