Publications by authors named "Huberman B"

Clinicians in the emergency department and hospital who treat patients experiencing elder mistreatment (EM) can expect to encounter challenging ethical dilemmas. Collaboration with ethics and EM consultation services offers teams an important opportunity to improve patient-centered outcomes and address value-based concerns when treating these patients. This article describes the role of a hospital clinical ethics consultation service and best practices for collaboration between ethics and EM consultation services.

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Organizational ethics programs often are created to address tensions in organizational values that have been identified through repeated clinical ethics consultation requests. Clinical ethicists possess some core competencies that are suitable for the leadership of high-quality organizational ethics programs, but they may need to develop new skills to build these programs, such as familiarity with healthcare delivery science, healthcare financing, and quality improvement methodology. To this end, we suggest that clinical ethicists build organizational ethics programs incrementally and via quality improvement projects undertaken in collaboration with senior clinical leaders.

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When the COVID-19 surge hit New York City hospitals, the Division of Medical Ethics at Weill Cornell Medical College, and our affiliated ethics consultation services, faced waves of ethical issues sweeping forward with intensity and urgency. In this article, we describe our experience over an eight-week period (16 March through 10 May 2020), and describe three types of services: clinical ethics consultation (CEC); service practice communications/interventions (SPCI); and organizational ethics advisement (OEA). We tell this narrative through the prism of time, describing the evolution of ethical issues and trends as the pandemic unfolded.

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The authors of this article are previous or current members of the Clinical Ethics Consultation Affairs (CECA) Committee, a standing committee of the American Society for Bioethics and Humanities (ASBH). The committee is composed of seasoned healthcare ethics consultants (HCECs), and it is charged with developing and disseminating education materials for HCECs and ethics committees. The purpose of this article is to describe the educational research and development processes behind our teaching materials, which culminated in a case studies book called A Case-Based Study Guide for Addressing Patient-Centered Ethical Issues in Health Care (hereafter, the Study Guide).

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The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online makes it appear as if these studies cannot reveal predictive social behaviors that could be used for developing better platforms and services. We use two large social databases to measure the mutual information entropy that both individual and group actions generate as they evolve over time.

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Novelty and collective attention.

Proc Natl Acad Sci U S A

November 2007

The subject of collective attention is central to an information age where millions of people are inundated with daily messages. It is thus of interest to understand how attention to novel items propagates and eventually fades among large populations. We have analyzed the dynamics of collective attention among 1 million users of an interactive web site, digg.

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We present a statistical method that can swiftly identify, from the literature, sets of genes known to be associated with given diseases. It offers a comprehensive way to treat alias symbols, a statistical method for computing the relevance of the gene to the query, and a novel way to disambiguate gene symbols from other abbreviations. The method is illustrated by finding genes related to breast cancer.

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We present a method for creating a network of gene co-occurrences from the literature and partitioning it into communities of related genes. The way in which our method identifies communities makes it likely that the component genes of each community will be related by their function. The method processes a large database of article abstracts, synthesizing information from many sources to shed light on groups of genes that have been shown to interact.

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Quantum computation holds promise for the solution of many intractable problems. However, since many quantum algorithms are stochastic in nature they can find the solution of hard problems only probabilistically. Thus the efficiency of the algorithms has to be characterized by both the expected time to completion and the associated variance.

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Search in power-law networks.

Phys Rev E Stat Nonlin Soft Matter Phys

October 2001

Many communication and social networks have power-law link distributions, containing a few nodes that have a very high degree and many with low degree. The high connectivity nodes play the important role of hubs in communication and networking, a fact that can be exploited when designing efficient search algorithms. We introduce a number of local search strategies that utilize high degree nodes in power-law graphs and that have costs scaling sublinearly with the size of the graph.

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One of the most common modes of accessing information in the World Wide Web is surfing from one document to another along hyperlinks. Several large empirical studies have revealed common patterns of surfing behavior. A model that assumes that users make a sequence of decisions to proceed to another page, continuing as long as the value of the current page exceeds some threshold, yields the probability distribution for the number of pages that a user visits within a given Web site.

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A general method for combining existing algorithms into new programs that are unequivocally preferable to any of the component algorithms is presented. This method, based on notions of risk in economics, offers a computational portfolio design procedure that can be used for a wide range of problems. Tested by solving a canonical NP-complete problem, the method can be used for problems ranging from the combinatorics of DNA sequencing to the completion of tasks in environments with resource contention, such as the World Wide Web.

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The Prisoner's Dilemma has long been considered the paradigm for studying the emergence of cooperation among selfish individuals. Because of its importance, it has been studied through computer experiments as well as in the laboratory and by analytical means. However, there are important differences between the way a system composed of many interacting elements is simulated by a digital machine and the manner in which it behaves when studied in real experiments.

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We propose an associationist model of the paranoid process in which the initial paranoid state is characterized by the formation of cognitive associations among temporally contiguous perceptions, an internally generated explanatory schema is produced to give meaning to the associations, and the schema then becomes learned and perpetuated as a crystallized delusion. We suggest that the genesis of the initial paranoid state can be modeled by a spreading activation network of learning and memory whose parameters of activation spread, including connectivity and relaxation rate, are varying over time. Moreover, recently demonstrated abrupt phase transitions that occur in such networks as a function of connectivity provide a particularly useful means for understanding the process by which an initial paranoid state becomes crystallized into a fixed delusion.

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Gaucher's disease is a disturbance of lipid storage that results in the accumulation of histiocytes filled with glucosyl ceramide in various organs and bones. Clinical features include history of epistaxis, hemoptysis, and spontaneous gingival hemorrhage. This article reviews Gaucher's disease with reference to its importance to dental practitioners and a case involving mandibular trauma is presented.

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It is widely believed that a group of cooperating agents engaged in problem solving can solve a task faster than either a single agent or the same group of agents working in isolation from each other. Nevertheless, little is known about the quantitative improvements that result from cooperation. A number of experimental results are presented on constraint satisfaction that both test the predictions of a theory of cooperative problem solving and assess the value of cooperation for this class of problems.

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The stability of ecosystems.

Proc R Soc Lond B Biol Sci

June 1989

Stability criteria and phase boundaries for complex ecosystems are obtained and contrasted with previously studied scenarios. The stability of such systems is determined by the behaviour of the largest eigenvalue of matrices governing the response of the system to small perturbations. As a result we show that ecosystems with unstructured cooperative interactions between arbitary species can be less stable than had been previously determined.

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Metastable configurations in open computational systems with local minima in their optimality functions are shown to be very long lived, which makes them effectively stable. When rare transitions to the global optimum do occur, they happen extremely fast, in analogy to models of punctuated evolution in biology. These results are obtained by introducing a thermodynamic-like formalism that allows for a simple analysis of nonlinear game dynamics in computational ecosystems.

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