Old Remedies in the Biotechnology Age: Moore v. Regents

The California Supreme Court, by excluding a potential remedy, has eliminated many concerns generated by a lower court decision resolving rights to the cell line derived from John Moore\u27s spleen. Yet, the Supreme Court gave little attention to remedies that remain. The authors argue that a constructive trust, a remedy of considerable vintage and great flexibility, could be applied to achieve a just result in such circumstances without affecting the biotechnology world at large

A Bright Future for Planning and Development in Tourism and Leisure Industries

The growth of tourism and its contributions to state and local economies and state and local treasuries has spurred an interest in its growth and development among public and private agencies. Tourism in New Jersey and other states is no longer a one-season business. It is a complex industry that provides jobs for seasonal, unskilled workers and professionals in a variety of occupations. This steadily expanding labor pool provides stability in changing economic conditions and during transitional phases in state economies. As tourism continues to gain importance, opportunities for professionals in the areas of planning and development will also increase. Today\u27s professional needs solid training in recreation and leisure services and a thorough knowledge of communication techniques to succeed in this challenging, exciting field

Institutionalization of Children in the Czech Republic: A Case of Path Dependency

Despite the development of alternative forms of care, international and domestic pressures for change, and over 20 years of efforts at deinstitutionalization, the Czech Republic has one of the highest rates of institutionalization of children in Europe (UNICEF, 2012). The continuing reliance upon residential care for children by the child protection system, particularly for children who are disabled or of Roma descent, demonstrates a case of path dependency in which a solidification of the system’s response is rooted in its past. Understanding the impact of historical precedence is key to reforming the current system

La factura electrónica en los sistemas de información

La presente investigación, se centra en cómo la factura electrónica, está afectando las actividades y tareas que desarrollan las empresas, específicamente en el área administrativa financiera contable, desde un enfoque de sistemas socio-técnico, estudiando la herramienta en sus aspectos organizacionales, administrativos y tecnológicos; y tendiendo a cumplir con los siguientes objetivos: General: - Conocer cómo han actuado las organizaciones frente a la factura electrónica, para luego proponer una forma “ideal" de integración de la factura electrónica a los sistemas de información de una empresa que les permita aprovechar todos sus beneficios. Específicos: - Relevar todos aquellos factores que motivaron a las empresas a la aplicación y uso de la facturación electrónica y las intenciones futuras de continuar operando con este sistema. - Identificar los beneficios que trae aparejado el uso de la factura electrónica dentro de las empresas, en especial los relacionados con su integración a los sistemas de información. - Conocer cuál ha sido el grado de intervención de los profesionales contadores en la decisión y dentro del proceso de implementación de esta herramienta. - Identificar problemas surgidos a profesionales en la implementación de factura electrónica y relevar las soluciones existentes a las problemáticas identificadas; - Analizar el circuito de la factura electrónica en las distintas áreas de una empresa y compararlo con el de la factura tradicional. - Proporcionar mejoras a la actual forma de utilización de factura electrónica.Fil: Artola, Matías Eduardo. Universidad Nacional de Cuyo. Facultad de Ciencias Económicas.Fil: Schmidt, María Victoria. Universidad Nacional de Cuyo. Facultad de Ciencias Económicas

A Statistical Model for Risk Stratification on the Basis of Left Ventricular Ejection Fraction and Heart-Rate Turbulence

The MPIP data set was used to obtain a model for mortality risk stratification of acute myocardial infarction patients. The predictors heart rate turbulence (HRT) and left-ventricular ejection fraction (LVEF) were employed. HRT was a categorical variable of three levels; LVEF was continuous and its influence on the relative risk was explained by the natural logarithm function (found using fractional polynomials). Cox - PH model with HRT and lnLVEF was constructed and used for risk stratification. The model can be used to divide the patients into two or more groups according to mortality risk. It also describes the relationship between risk and predictors by a (continuous) function, which allows the calculation of individual mortality risk

Modifying styrene-maleic acid co-polymer for studying lipid nanodiscs

International audienceRecently, styrene-maleic acid copolymer lipid nanodiscs have become an increasingly popular tool for the study of membrane proteins. In the work we report here, we have developed a novel method for the efficient preparation of labeled nanodiscs, under chemically mild conditions, by modification of the hydrolyzed styrene-maleic acid copolymer. This protocol is designed to be easily accessible to biochemistry laboratories. We use this procedure to prepare various fluorescent nanodiscs labeled with different fluorophores. By studying the development of Förster resonance energy transfer, we demonstrate the rapid exchange of co-polymer between nanodiscs. This demonstration, in conjunction of previous work, indicates that the lipid nanodiscs prepared using this polymer are very dynamic structures with rapid exchange of the different components

Learning to Solve Climate Sensor Placement Problems with a Transformer

The optimal placement of sensors for environmental monitoring and disaster management is a challenging problem due to its NP-hard nature. Traditional methods for sensor placement involve exact, approximation, or heuristic approaches, with the latter being the most widely used. However, heuristic methods are limited by expert intuition and experience. Deep learning (DL) has emerged as a promising approach for generating heuristic algorithms automatically. In this paper, we introduce a novel sensor placement approach focused on learning improvement heuristics using deep reinforcement learning (RL) methods. Our approach leverages an RL formulation for learning improvement heuristics, driven by an actor-critic algorithm for training the policy network. We compare our method with several state-of-the-art approaches by conducting comprehensive experiments, demonstrating the effectiveness and superiority of our proposed approach in producing high-quality solutions. Our work presents a promising direction for applying advanced DL and RL techniques to challenging climate sensor placement problems

Improving the design of adaptable buildings though effective feedback in use

For many years the issue of how to design buildings which can adapt to changing demands has posed a considerable challenge. This debate has had renewed significance given the emergence of the sustainability agenda and the need to extract additional value from built assets through life. Developing a better understanding of how buildings change over time is arguably crucial to informing architects concerned with extending the life of buildings. This paper critically reviews literature on adaptability, together with that relating to knowledge feedback and architectural practice, in order to construct a theoretical platform for understanding how knowledge of how buildings change can be used to inform design decisions. A pilot case study is used to illustrate the ways in which buildings change could be captured to inform adaptable designs in the future. The work reveals a lack of knowledge in how buildings change and how, if this was fed back to architects, it could support design decisions that might increase the life of many buildings