Editorial ‐ Caution: Changing education, changing technology

The theme of ourvery successful ALT-C 95 was Changing Education, Changing Technology. The papers which made up the conference (a small selection of which are published in this special issue of ALT-f) would have reflected this theme even if it had not been chosen by the conference committee, since both educational thinking and educational technology are so patently in flux

Changing technology and the payment system

On September 11, 2000, Jamie B. Stewart, Jr., First Vice President and Chief Operating Officer of the Federal Reserve Bank of New York, delivered the following remarks at Sibos 2000, the international banking operations seminar sponsored by the payment network SWIFT (Society for Worldwide Interbank Financial Telecommunications).Payment systems ; Technology ; Banks and banking - Customer services ; Bank competition ; Electronic funds transfers

Changing technology trends, transition dynamics and growth accounting

The technology growth trends that underlie recent productivity patterns are investigated in a framework that incorporates investment-specific technological progress. Structural-break tests and regime-shifting models reveal the presence of a downward shift in TFP growth in the late 1960s and an upward shift in investment-specific technology growth in the mid-1980s. In both cases, these breaks precede observed changes in labor productivity growth by several years. Simulations of technology growth shocks in a basic neoclassical model show that induced patterns of capital accumulation are consistent with the observed lags between technological advances and changes in productivity growth.Technology ; Productivity

ZERO TOLERANCE WITH CHANGING TECHNOLOGY IN THE CANNING INDUSTRY

Agribusiness,

Productivity and changing technology

An orbital-class rocket with a 3D-printed engine launches into space from the Mähia Peninsula. A self-driving car crosses the Auckland Harbour Bridge. A pizza company begins testing delivery using airborne drones. While these may sound like things of science fiction, they are in fact stories that have been in the New Zealand media over the last year. These stories provide a glimpse of how technology is changing. Changes are not just happening around the edges but could be as disruptive to models of production as earlier industrial revolutions.&nbsp

Enclosing the Global Plant Genetic Commons

Looks at policies related to the development, use, and control of plant genetic resources, with a focus on property rights in relation to changing technology and its impact on food security in developing countries

PROTACs- a game-changing technology

Introduction: Proteolysis - targeting chimeras (PROTACs) have emerged as a new modality with the potential to revolutionize drug discovery. PROTACs are heterobifunctional molecules comprising of a ligand targeting a protein of interest, a ligand targeting an E3 ligase and a connecting linker. The aim is instead of inhibiting the target to induce its proteasomal degradation. Areas covered: PROTACs, due to their bifunctional design, possess properties that differentiate them from classical inhibitors. A structural analysis, based on published crystal aspects, kinetic features and aspects of selectivity are discussed. Specific types such as homoPROTACs, PROTACs targeting Tau protein and the first PROTACs recently entering clinical trials are examined. Expert opinion: PROTACs have shown remarkable biological responses in challenging targets, including an unprecedented selectivity over protein family members and even efficacy starting from weak or unspecific binders. Moreover, PROTACs are standing out from classical pharmacology by inducing the degradation of the target protein and not merely its inhibition. However, there are also challenges in the field, such as the rational structure optimization, the evolution of computational tools, limited structural data and the greatly anticipated clinical data. Despite the remaining hurdles, PROTACs are expected to soon become a new therapeutic category of drugs

The impact of changing technology on the demand for air transportation

Demand models for air transportation that are sensitive to the impact of changing technology were developed. The models are responsive to potential changes in technology, and to changing economic, social, and political factors as well. In addition to anticipating the wide differences in the factors influencing the demand for long haul and short haul air travel, the models were designed to clearly distinguish among the unique features of these markets

Organizing for Everything We Do: CWA at AT&T and US West

[Excerpt] In the Communications Workers of America, we\u27ve been facing tough challenges in recent years. Add Reaganomics to the breakup of the Bell System and changing technology, and you have a formula for a rough time at the bargaining table. To increase our power, we\u27ve increasingly been using an organizing approach for everything we do. We call it Mobilization

Data Modeling Education: The Changing Technology

Data modeling is a difficult topic for students to learn. Worse yet is the fact that practitioners, who look to academia for methods and techniques to perform such model building have found little on which to standardize, although many techniques exist. Entity relationship (ER) modeling was developed in order to help database developers visualize their (relational) database design with its data stores and internal relationships. This technique was certainly an important step forward, yet data collected over the past 11 years would indicate database developers are still having difficulty learning, assimilating, and using design techniques (cf. Blaha, 2004). Confounding the issue is the arrival of the object-oriented paradigm. The Unified Modeling Language (UML) was introduced in order to speed, simplify, and clarify design of systems. Portions of the UML are derived from ER modeling and are useful in merging the front end portion of the system with the back end data storage so a picture of the entire system can be viewed by the designer. While providing functionality that ER modeling lacks, the UML approach to data modeling also leaves some developers indecisive and confused as to which technique to use in practice. The same indecision appears to haunt the academic world. So how should data modeling be taught? In order to shed light on this question, we asked contributors to focus on whether this new system of modeling (the UML) yields a better understanding of the database design to the extent that better database designs result. We detected a buzz in the literature and in the IT world that a dichotomy of opinion over this question exists, and so this special issue was born. Educators need to air their opinions, facts, and results and discuss this controversial topic to encourage refinement in this important area. We hope that research ideas can be generated and practitioners informed that this topic is being addressed in academia. As expected, the contributors to this issue provided a dichotomy of opinion but surprisingly, their experiences and opinions moved the issue in a direction far different than what we could have predicted. We now provide you with insight into this poignant topic by presenting this special issue