The influence of journal publisher characteristics on open access policy trends

Examines SHERPA/RoMEO publisher open access (OA) policy information for 100 publishers over a 13 year period (2004–2016) to consider whether their size, type or country (UK or US) affected the development of their OA policy over time. A publisher’s RoMEO colour code, whether they offered a Gold OA option, and the mean number of restrictions as to when, how and where papers may be self-archived, were all mapped. Kruskal–Wallis tests were run to assess whether the differences between their 2004 and 2016 positions were statistically significant. Finds that the growth of Green and Gold OA policy approaches has not been evenly distributed amongst publishers with some significant differences amongst publishers of different size, types and country (UK and US). Large commercial publishers are more likely to be allocated a RoMEO colour code, but at the same time place a high volume of restrictions as to where and how authors might self-archive. Small publishers are less likely to have a RoMEO green colour code, but the volume of restrictions they place on self-archiving are minimal. University presses appear not to be engaging with either OA agenda to any considerable degree. UK and US publishers’ OA policies appear to be influenced by the national OA policy environment which, considering the global nature of the scholarly journals market, was more pronounced than might have been anticipated.     

Utilizing patterns and pattern languages in education

This paper presents work that has been done in bringing patterns and pattern languages into undergraduate and postgraduate curricula in software engineering. Patterns are masterful designs that solve a real problem; they provide students with real, concrete examples of best practises and masterful software solutions they can utilize and emulate. A pattern language is a modular and adaptive methodology; it is appropriate for the dynamic discipline of software engineering. The paper outlines aspects of a curriculum used at the Royal Melbourne Institute of Technology; it also provides student and staff feedback.     

Maintaining the confidentiality of plot locations by exploiting the low sensitivity of forest structure models to different spectral extraction kernels

The United States Forest Service Forest Inventory and Analysis (FIA) unit maintains a large national network of inventory plots. While the consistency and extent of this network make FIA data attractive for ecological modelling, the FIA is charged by statute not to publicly reveal inventory plot locations. However, use of FIA plot data by the remote sensing community often requires that plot measurements be matched with spatially correspondent values from spectral or geographic data layers. Extracting spatial data in a known way and associating it with plot information leaves open the possibility that a user might use extracted spatial characteristics and a moving window filter to directly infer the plot's location. Direct inference of plot location in this way would be impossible, however, if the original method of sampling the geographic data was unknown. Tests using five Landsat scenes covering a wide range of ecological types showed that varying the weights of pixels within approximately 50 m of the plot centre has little effect on the quality of subsequent models predicting basal area. This finding may support the development of automated extraction routines that vary (perhaps randomly) the geographic data extraction process and therefore increase the security of FIA plot locations.     

FOOD SECURITY RISK LEVEL ASSESSMENT: A FUZZY LOGIC-BASED APPROACH

A fuzzy logic (FL)-based food security risk level assessment system is designed and is presented in this article. Three inputs—yield, production, and economic growth—are used to predict the level of risk associated with food supply. A number of previous studies have related food supply with risk assessment for particular types of food, but none of the work was specifically concerned with how the wider food chain might be affected. The system we describe here uses the Mamdani method. The resulting system can assess risk level against three grades: severe, acceptable, and good. The method is tested with UK (United Kingdom) cereal data for the period from 1988 to 2008. The approach is discussed on the basis that it could be used as a starting point in developing tools that may either assess current food security risk or predict periods or regions of impending pressure on food supply.     

Development of proteome-wide binding reagents for research and diagnostics

Alongside MS, antibodies and other specific protein-binding molecules have a special place in proteomics as affinity reagents in a toolbox of applications for determining protein location, quantitative distribution and function (affinity proteomics). The realisation that the range of research antibodies available, while apparently vast is nevertheless still very incomplete and frequently of uncertain quality, has stimulated projects with an objective of raising comprehensive, proteome-wide sets of protein binders. With progress in automation and throughput, a remarkable number of recent publications refer to the practical possibility of selecting binders to every protein encoded in the genome. Here we review the requirements of a pipeline of production of protein binders for the human proteome, including target prioritisation, antigen design, ‘next generation’ methods, databases and the approaches taken by ongoing projects in Europe and the USA. While the task of generating affinity reagents for all human proteins is complex and demanding, the benefits of well-characterised and quality-controlled pan-proteome binder resources for biomedical research, industry and life sciences in general would be enormous and justify the effort. Given the technical, personnel and financial resources needed to fulfil this aim, expansion of current efforts may best be addressed through large-scale international collaboration.     

Task structure and postcompletion error in the execution of a routine procedure

OBJECTIVE: To replicate a successful laboratory slip-class error paradigm and, more importantly, to further understand the underlying causes of errors made in that paradigm. BACKGROUND: Routine procedural errors are facts of everyday life but have received limited controlled empirical study, despite the sometimes severe consequences associated with such errors. This research concerns one such error, postcompletion error (M. D. Byrne & S. Bovair, 1997), which is a lapse that occurs after the main goal of a task has been satisfied. METHOD: In the two experiments conducted, participants were trained to criterion on a routine procedural task and were then brought back to the lab for a later session or sessions in which performance on task execution was measured. In the second experiment, a variety of motivational manipulations, retraining, and task redesign were compared. RESULTS: Experiment 1 demonstrated a substantial reduction of error rate generated by a simple design change (alteration of when feedback about goal completion occurred). Furthermore, the reduction in error rate came with no penalty in terms of overall speed of performance. Experiment 2 showed that this more appropriate design is superior to motivationally oriented interventions, retraining, and even midtask redesign. As in Experiment 1, Experiment 2 revealed no speed-accuracy tradeoff. CONCLUSION: These experiments provide evidence that controlled laboratory studies of slip-class errors can be meaningful and highlight the centrality of cognitive factors (particularly goal structure) in such errors. APPLICATION: Potential applications include design of interfaces and their related procedures as well as error-mitigation techniques.     

Secure web services using two-way authentication and three-party key establishment for service delivery

With the advance of web technologies, a large quantity of transactions have been processed through web services. Service Provider needs encryption via public communication channel in order that web services can be delivered to Service Requester. Such encryptions can be realized using secure session keys. Traditional approaches which can enable such transactions are based on peer-to-peer architecture or hierarchical group architecture. The former method resides on two-party communications while the latter resides on hierarchical group communications. In this paper, we will use three-party key establishment to enable secure communications for Service Requester and Service Provider. The proposed protocol supports Service Requester, Service Broker, and Service Provider with a shared secret key established among them. Compared with peer-to-peer architecture and hierarchical group architecture, our method aims at reducing communication and computation overheads.     

Machine vision system for curved surface inspection

This application-oriented paper discusses a non-contact 3D range data measurement system to improve the performance of the existing 2D herring roe grading system. The existing system uses a single CCD camera with unstructured halogen lighting to acquire and analyze the shape of the 2D shape of the herring roe for size and deformity grading. Our system will act as an additional system module, which can be integrated into the existing 2D grading system, providing the additional third dimension to detect deformities in the herring roe, which were not detected in the 2D analysis. Furthermore, the additional surface depth data will increase the accuracy of the weight information used in the existing grading system. In the proposed system, multiple laser light stripes are projected into the herring roe and the single B/W CCD camera records the image of the scene. The distortion in the projected line pattern is due to the surface curvature and orientation. Utilizing the linear relation between the projected line distortion and surface depth, the range data was recovered from a single camera image. The measurement technique is described and the depth information is obtained through four steps: (1) image capture, (2) stripe extraction, (3) stripe coding, (4) triangulation, and system calibration. Then, this depth information can be converted into the curvature and orientation of the shape for deformity inspection, and also used for the weight estimation. Preliminary results are included to show the feasibility and performance of our measurement technique. The accuracy and reliability of the computerized herring roe grading system can be greatly improved by integrating this system into existing system in the future.     

Supporting program comprehension using dominance trees

This paper will address how program comprehension can be aided within software maintenance through the use of high level representations of code, specifically the use of dominance trees. The paper proposes that dominance trees should be used as a standard approach within the program comprehension process. A number of ways in which the dominance trees are supportive of the comprehension process are highlighted. The evaluation considers if dominance trees are supportive of standard program comprehension strategies such as an as‐needed strategy, whether they provide an early identification of the consequences of changes and highlight areas where preventative maintenance is necessary. Their actual usefulness in achieving these goals is evaluated through the use of a number of case studies. The results have shown that there are a number of specific tasks performed during program comprehension that can be aided through the use of dominance trees. This revised version was published online in June 2006 with corrections to the Cover Date.     

Does Class Size in First Grade Relate to Children's Academic and Social Performance or Observed Classroom Processes?

This study evaluated the extent to which first-grade class size predicted child outcomes and observed classroom processes for 651 children (in separate classrooms). Analyses examined observed child-adult ratios and teacher-reported class sizes. Smaller classrooms showed higher quality instructional and emotional support, although children were somewhat less likely to be engaged. Teachers in smaller classes rated typical children in those classes as more socially skilled and as showing less externalizing behavior and reported more closeness toward them. Children in smaller classes performed better on literacy skills. Larger classrooms showed more group activities directed by the teacher, teachers and children interacted more often, and children were more often engaged. Lower class sizes were not of more benefit (or harm) as a function of the child's family income. First-grade class size in the range typical of present-day classrooms in the United States predicts classroom social and instructional processes as well as relative changes in social and literacy outcomes from kindergarten to first grade. (PsycINFO Database Record (c) 2010 APA, all rights reserved)