Abstract: Team trust has often been discussed both as requirement and as challenge for team effectiveness, particularly in virtual teams. However, primary studies on the relationship between trust and team effectiveness have provided mixed findings. The current review summarizes existing studies on team trust and team effectiveness based on meta-analytic methodology. In general, we assumed team trust to facilitate coordination and cooperation in teams, and therefore to be positively related with team effectiveness. Moreover, team virtuality and documentation of interactions were considered as moderators of this relationship because they should affect perceived risks during teamwork. While team virtuality should increase, documentation of interaction should decrease the relationship between team trust and team effectiveness. Findings from 52 studies with 54 independent samples (representing 12,615 individuals in 1,850 teams) confirmed our assumptions. In addition to the positive overall relationship between team trust and team effectiveness criteria (ρ = .33), the relationship between team trust and team performance was stronger in virtual teams (ρ = .33) as compared to face-to-face teams (ρ = .22), and weaker when team interactions were documented (ρ = .20) as compared to no such documentation (ρ = .29). Thus, documenting team interactions seems to be a viable complement to trust-building activities, particularly in virtual teams. (PsycINFO Database Record

Abstract: This document was developed to enable greater consistency in the practice, application, and documentation of Model-Informed Drug Discovery and Development (MID3) across the pharmaceutical industry. A collection of "good practice" recommendations are assembled here in order to minimize the heterogeneity in both the quality and content of MID3 implementation and documentation. The three major objectives of this white paper are to: i) inform company decision makers how the strategic integration of MID3 can benefit RD ii) provide MID3 analysts with sufficient material to enhance the planning, rigor, and consistency of the application of MID3; and iii) provide regulatory authorities with substrate to develop MID3 related and/or MID3 enabled guidelines.

Abstract: Software developers need access to different kinds of information which is often dispersed among different documentation sources, such as API documentation or Stack Overflow. We present an approach to automatically augment API documentation with "insight sentences" from Stack Overflow -- sentences that are related to a particular API type and that provide insight not contained in the API documentation of that type. Based on a development set of 1,574 sentences, we compare the performance of two state-of-the-art summarization techniques as well as a pattern-based approach for insight sentence extraction. We then present SISE, a novel machine learning based approach that uses as features the sentences themselves, their formatting, their question, their answer, and their authors as well as part-of-speech tags and the similarity of a sentence to the corresponding API documentation. With SISE, we were able to achieve a precision of 0.64 and a coverage of 0.7 on the development set. In a comparative study with eight software developers, we found that SISE resulted in the highest number of sentences that were considered to add useful information not found in the API documentation. These results indicate that taking into account the meta data available on Stack Overflow as well as part-of-speech tags can significantly improve unsupervised extraction approaches when applied to Stack Overflow data.

Abstract: The extension of OR decision-aiding models and OR methodology from operational and technological settings to the field of policy analysis has caused analysts and users to question whether the OR process can handle the requirements of this new area. This paper reviews the evolving nature of OR methodology, the difficulties that have arisen in applying it, and the attempts to improve the use of OR methodology in policy analysis. The analyst's role in providing information to the user to determine whether and how a specific OR model can be used as a decision aid is emphasized. Relevant information for the analyst to provide covers model validation, assessment, utility, confidence and documentation.

Abstract: Computing education lags other discipline-based education research in the number and range of validated assessments available to the research community. Validated assessments are important for researchers to reduce experimental error due to flawed assessments and to allow for comparisons between different experiments. Although the need is great, building assessments from scratch is difficult. Once an assessment is built, it's important to be able to replicate it, in order to address problems within it, or to extend it. We developed the Second CS1 Assessment (SCS1) as an isomorphic version of a previously validated language-independent assessment for introductory computer science, the FCS1. Replicating the FCS1 is important to enable free use by a broader research community. This paper is documentation of our process for replicating an existing validated assessment and validating the success of our replication. We present initial use of SCS1 by other research groups, to serve as examples of where it might be used in the future. SCS1 is useful for researchers, but care must be taken to avoid undermining the validity argument.

Abstract: This paper presents an automatic methodology capable of registering non-overlapping laser scans based on a bundle block adjustment for the orientation estimation of synthetic images generated from the 3D data and camera images using a Structure-from-Motion (SfM) method. Adding camera images to the registration of the generated images can improve the block geometry. The SfM process provides accurate image orientations and sparse point clouds, initially in an arbitrary model space. This enables an implicit determination of the 3D-to-3D correspondences between the sparse points and the laser data then, the Helmert transformation is introduced and its parameters are computed. This results in registering the non-overlapping scans, since the relative orientations between the generated images are determined at the SfM step and transformed to the absolute coordinate system directly. The proposed approach was tested on real case studies and experimental results are shown to demonstrate the effectiveness of the presented method.

Abstract: Research data publishing is intended as the release of research data to make it possible for practitioners to (re)use them according to “open science” dynamics. There are three main actors called to deal with research data publishing practices: researchers, publishers, and data repositories. This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.

Abstract: For most of the world's 7,000 languages, there are few records available via the Internet. Recognizing this digital divide and the consequential underrepresentation of most languages in any linked open data efforts is a motivation for some solutions offered in this article. Efforts to increase the documentation of the world's small languages have led to the development of tools and repositories over the past decade. However, as not all digital language archives currently provide metadata in standard formats, their collections are invisible to aggregated searches. Other repositories (including many institutional repositories-national libraries and archives, mission archives, and so on) have language content that is not noted in the collection's catalog, so is impossible to locate at all via a search based on language names. Finally, there are collections still held by their creators and not in a repository at all, completely hidden from other potential users. This article suggests that it is a digital humanities project to make more information about the world's small languages more freely available, and identifies several means by which this could be accomplished, including a survey to locate more collections; a register to announce their existence; and a documentation index to provide an overview of what is known for each language.

Abstract: In recent times, archaeological documentation strategies have been considerably improved by the use of advanced 3D acquisition systems. Laser scanning, photogrammetry and computer vision techniques provide archaeologists with new opportunities to investigate and document the archaeological record. In spite of this, the amount of data collected and the geometrical complexity of the models resulting from such acquisition processes have always prevented their systematic integration into a geographic information systems (GIS) environment. Recent technological advances occurred in the visualization of 3D contents, led us to overcome the aforementioned limitations and set up a work pipeline in which was possible to put the 3D models not only in the context of data visualization but also in the frame of spatial analysis. The case study described is a part of the Swedish Pompeii Project, a research and fieldwork activity started in 2000 with the purpose of recording and investigating an entire Pompeian city block, Insula V 1. As an additional part of the research, a laser scanning acquisition campaign was conducted in the last few years. The resulting models were thus meant to be used to develop further research lines: Among these, a 3D GIS system was expected to be set up with the purpose to (i) collect in the same geo-referenced environment, different typologies of documentation gathered in the context of the Swedish Pompeii Project; (ii) inter-connect 3D models with the project website; (iii) use the third dimension as a further analytical field of investigation, in the form of spatial analysis and cognitive simulation.

Abstract: NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. The Distributed Generation Market Demand (dGen) model is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050. The National Renewable Energy Laboratory (NREL) developed dGen to analyze the key factors that will affect future market demand for distributed solar, wind, storage, and other DER technologies in the United States within a single modeling platform. The dGen model builds on, extends, and provides significant advances (Table ES-1) over NREL's SolarDS model (Denholm et al. 2009), which is now deprecated. Currently, dGen simulates the adoption of distributed solar (the dSolar module) and distributed wind (the dWind module), as described in detail in Appendices A and B, respectively. The dGen team will add modules in FY16 for behind-the-meter storage (dStorage) as well as a module for evaluating distributed geothermal systems (dGeo), such as ground-source heat pumps and geothermal direct use. The model is also configured to link with utility scale capacity expansion models maintained and applied at NREL (see Appendix C). All technologies modeled within the dGen framework leverage a database of highly resolved geospatial information (Figure ES-1), along with algorithms for modeling DER economics, customer decision-making, and diffusion of technology over time. dGen uses several high-resolution data sets, such as 2012 average electric rates by county. Examples of other high resolution data sets supporting the model include wind resource (200 m resolution), solar resource (10 km resolution), and local and state policy incentives. In dGen, market diffusion of DER technologies is simulated in two-year intervals from 2014 through 2050 based …

Abstract: Summary Biodiversity conservation policies incorporating a no net loss (NNL) principle are being implemented in many countries. However, there are linguistic and conceptual inconsistencies in the use of terms underlying these NNL policies. We identify inconsistencies that emerge in the usage of eight key terms and phrases associated with NNL policies: biodiversity, frames of reference (i.e. baselines, counterfactuals), no net loss, mitigation hierarchy, biodiversity offset, in-kind/out-of-kind, direct/indirect and multipliers. For each term, we make recommendations to support conceptual convergence, reduce ambiguity and improve clarity in communication and policy documentation. However, we also warn of the challenges in achieving convergence, especially given the linguistic inconsistencies in several of these key concepts among countries in which NNL policies are employed. Policy implications. The recommendations made in this article, on improving clarity and supporting convergence on key no net loss (NNL) concepts, should help eliminate ambiguity in policy documentation. This is crucial if policymakers are to design robust policies that are (i) transparent, (ii) translatable into practice in a consistent manner and (iii) sufficiently understood and supported by stakeholders to be effective in practice.

Abstract: The use of biostatistical software programs to assist in data interpretation and calculate likelihood ratios is essential to forensic geneticists and part of the daily case work flow for both kinship and DNA identification laboratories. Previous recommendations issued by the DNA Commission of the International Society for Forensic Genetics (ISFG) covered the application of bio-statistical evaluations for STR typing results in identification and kinship cases, and this is now being expanded to provide best practices regarding validation and verification of the software required for these calculations. With larger multiplexes, more complex mixtures, and increasing requests for extended family testing, laboratories are relying more than ever on specific software solutions and sufficient validation, training and extensive documentation are of upmost importance. Here, we present recommendations for the minimum requirements to validate bio-statistical software to be used in forensic genetics. We distinguish between developmental validation and the responsibilities of the software developer or provider, and the internal validation studies to be performed by the end user. Recommendations for the software provider address, for example, the documentation of the underlying models used by the software, validation data expectations, version control, implementation and training support, as well as continuity and user notifications. For the internal validations the recommendations include: creating a validation plan, requirements for the range of samples to be tested, Standard Operating Procedure development, and internal laboratory training and education. To ensure that all laboratories have access to a wide range of samples for validation and training purposes the ISFG DNA commission encourages collaborative studies and public repositories of STR typing results. Published by Elsevier Ireland Ltd.

Abstract: This paper describes the WITCH - World Induced Technical Change Hybrid - model in its structure, calibration, and the implementation of the SSP/RCP scenario implementation. The WITCH model is a regionally disaggregated hard-linked model based on a Ramsey type optimal growth model and a detailed bottom-up energy sector model. A particular focus of the model is the modeling or technical change and RnD investments and the analysis of cooperative and non-cooperative climate policies. Moreover, the WITCH 2016 version now includes land-use change modeling based on the GLOBIOM model, and air pollutants, as well as detailed modeling of the transport sector and the possibility for stochastic modeling. This version has been also used to implement the Shared Socioeconomic Pathways (SSPs) set of scenarios and RCP based climate policies to provide a new set of climate scenarios. In this paper, we describe in detail the mathematical formulation of the WITCH model, the solution method and calibration, as well as the implementation of the five SSP scenarios. This report therefore provides detailed information for interested users of the model, and for understanding the implementation of the different "worlds" of the SSP.

Abstract: . This paper retraces some research activities and application of 3D survey techniques and Building Information Modelling (BIM) in the environment of Cultural Heritage. It describes the diffusion of as-built BIM approach in the last years in Heritage Assets management, the so-called Built Heritage Information Modelling/Management (BHIMM or HBIM), that is nowadays an important and sustainable perspective in documentation and administration of historic buildings and structures. The work focuses the documentation derived from 3D survey techniques that can be understood like a significant and unavoidable knowledge base for the BIM conception and modelling, in the perspective of a coherent and complete management and valorisation of CH. It deepens potentialities, offered by 3D integrated survey techniques, to acquire productively and quite easilymany 3D information, not only geometrical but also radiometric attributes, helping the recognition, interpretation and characterization of state of conservation and degradation of architectural elements. From these data, they provide more and more high descriptive models corresponding to the geometrical complexity of buildings or aggregates in the well-known 5D (3D + time and cost dimensions). Points clouds derived from 3D survey acquisition (aerial and terrestrial photogrammetry, LiDAR and their integration) are reality-based models that can be use in a semi-automatic way to manage, interpret, and moderately simplify geometrical shapes of historical buildings that are examples, as is well known, of non-regular and complex geometry, instead of modern constructions with simple and regular ones. In the paper, some of these issues are addressed and analyzed through some experiences regarding the creation and the managing of HBIMprojects on historical heritage at different scales, using different platforms and various workflow. The paper focuses on LiDAR data handling with the aim to manage and extract geometrical information; on development and optimization of semi-automatic process of segmentation, recognition and modelling of historical shapes of complex structures; on communication of historical heritage by virtual and augmented reality (VR/AR) in a 3D reconstruction of buildings aggregates from a LiDAR and UAV survey. The HBIM model have been implemented and optimized to be managed and browse by mobile devices for not only touristic or informative scopes, but also to ensure that HBIM platforms will become more easy and valuable tools helping all professionals of AEC involved in the documentation and valorisation process, that nowadays more and more distinguish CH policies.

Abstract: Objective: Like all scientific research, computational neuroscience research must be reproducible. Big data science, including simulation research, cannot depend exclusively on journal articles as the method to provide the sharing and transparency required for reproducibility. Methods: Ensuring model reproducibility requires the use of multiple standard software practices and tools, including version control, strong commenting and documentation, and code modularity. Results: Building on these standard practices, model-sharing sites and tools have been developed that fit into several categories: 1) standardized neural simulators; 2) shared computational resources; 3) declarative model descriptors, ontologies, and standardized annotations; and 4) model-sharing repositories and sharing standards. Conclusion: A number of complementary innovations have been proposed to enhance sharing, transparency, and reproducibility. The individual user can be encouraged to make use of version control, commenting, documentation, and modularity in development of models. The community can help by requiring model sharing as a condition of publication and funding. Significance: Model management will become increasingly important as multiscale models become larger, more detailed, and correspondingly more difficult to manage by any single investigator or single laboratory. Additional big data management complexity will come as the models become more useful in interpreting experiments, thus increasing the need to ensure clear alignment between modeling data, both parameters and results, and experiment.

Abstract: Designing and implementing natural resource monitoring is a challenging endeavor undertaken by many agencies, NGOs, and citizen groups worldwide. Yet many monitoring programs fail to deliver useful information for a variety of administrative (staffing, documentation, and funding) or technical (sampling design and data analysis) reasons. Programs risk failure if they lack a clear motivating problem or question, explicit objectives linked to this problem or question, and a comprehensive conceptual model of the system under study. Designers must consider what “success” looks like from a resource management perspective, how desired outcomes translate to appropriate attributes to monitor, and how they will be measured. All such efforts should be filtered through the question “Why is this important?” Failing to address these considerations will produce a program that fails to deliver the desired information. We addressed these issues through creation of a “road map” for designing and implementing a monitoring program, synthesizing multiple aspects of a monitoring program into a single, overarching framework. The road map emphasizes linkages among core decisions to ensure alignment of all components, from problem framing through technical details of data collection and analysis, to program administration. Following this framework will help avoid common pitfalls, keep projects on track and budgets realistic, and aid in program evaluations. The road map has proved useful for monitoring by individuals and teams, those planning new monitoring, and those reviewing existing monitoring and for staff with a wide range of technical and scientific skills.

Abstract: Sharing of research data has begun to gain traction in many areas of the sciences in the past few years because of changing expectations from the scientific community, funding agencies, and academic journals. National Science Foundation (NSF) requirements for a data management plan (DMP) went into effect in 2011, with the intent of facilitating the dissemination and sharing of research results. Many projects that were funded during 2011 and 2012 should now have implemented the elements of the data management plans required for their grant proposals. In this paper we define ‘data sharing’ and present a protocol for assessing whether data have been shared and how effective the sharing was. We then evaluate the data sharing practices of researchers funded by the NSF at Oregon State University in two ways: by attempting to discover project-level research data using the associated DMP as a starting point, and by examining data sharing associated with journal articles that acknowledge NSF support. Sharing at both the project level and the journal article level was not carried out in the majority of cases, and when sharing was accomplished, the shared data were often of questionable usability due to access, documentation, and formatting issues. We close the article by offering recommendations for how data producers, journal publishers, data repositories, and funding agencies can facilitate the process of sharing data in a meaningful way.

Abstract: The study aimed to evaluate certified teachers performance in Temanggung regency district of Gugus Mangga. This study was evalitative research using qualitative dessciptive approach. Subject of this research are teachers, principals and supervisors. Data were collected through interview, observation and documentation. The results of the study showed that performance of certified teachers in planning aspect of learning and evaluation is in good category. While the performance of certified teachers in presentation and capacity building is in the less than good category. The recommendation given for teachers in preparing lesson plan (RPP) should included aspect of communication and information technologies and also followed by the development of activities. Recommendation for schools is organizing textbooks procurement so that students can have a good process of learning. Recommendation for regional government is to provide assistance of textbooks procurement for schools which has not enough textbook. Besides that the education office recommended to make self-development program for teachers in order to develop and improve the quality of education.

Abstract: The business capabilities of modern enterprises crucially rely on the enterprises' information systems and underlying IT infrastructure. Hence, optimization of the business-IT alignment is a key objective of Enterprise Architecture Management (EAM). To achieve this objective, EAM creates, maintains and analyzes a model of the current state of the Enterprise Architecture. This model covers different concepts reflecting both the business and the IT perspective and has to be constantly maintained in response to ongoing transformations of the enterprise. In practice, EA models grow large and are difficult to maintain, since many stakeholders from various backgrounds have to contribute architecture-relevant information. EAM literature and two practitioner surveys conducted by the authors indicate that EA model maintenance, in particular the manual documentation activities, poses one of the biggest challenges to EAM in practice. Current research approaches target the automation of the EA documentation based on specific data sources. These approaches, as our systematic literature review showed, do not consider enterprise specificity of the documentation context or the variability of the data sources from organization to organization. The approach presented in this article specifically accounts for these factors and presents a situational method for EA documentation. It builds on four process-supported documentation techniques which can be selected, composed and applied to design an organization-specific documentation process. The techniques build on a meta-model for EA documentation, which is implemented in an EA-repository prototype that supports the configuration and execution of the documentation techniques. We applied our documentation method assembly process at a German insurance company and report the findings from this case study in particular regarding practical applicability and usability of our approach.

Abstract: The Laws of Globalization and Business Applications employs a variety of empirical methodologies to establish two broad regularities that apply to international activity at the firm, industry, and country levels - the law of semiglobalization and the law of distance - and explores some of their implications for business. Part I presents evidence in support of the law of semiglobalization at the country and the business levels historically and up to the present. Part II performs an analogous function regarding the second law of globalization, showing that the gravity models that international economists have used to analyze merchandise trade between countries also apply to other types of international interactions - and at the industry and firm levels as well. Part III applies these laws to various challenges and opportunities that distance along various dimensions presents to multinational firms. A free online appendix provides additional data, analysis, and documentation to support research applications.

Abstract: The manufacturing industry is evolving and starting to use 3D models as the central knowledge artifact for product data and product definition, or what is known as Model-based Definition (MBD). The Model-based Enterprise (MBE) uses MBD as a way to transition away from using traditional paper-based drawings and documentation. As MBD grows in popularity, it is imperative to understand what information is needed in the transition from drawings to models so that models represent all the relevant information needed for processes to continue efficiently. Finding this information can help define what data is common amongst different models in different stages of the lifecycle, which could help establish a Common Information Model. The Common Information Model is a source that contains common information from domain specific elements amongst different aspects of the lifecycle. To help establish this Common Information Model, information about how models are used in industry within different workflows needs to be understood. To retrieve this information, a survey mechanism was administered to industry professionals from various sectors. Based on the results of the survey a Common Information Model could not be established. However, the results gave great insight that will help in further investigation of the Common Information Model.

Abstract: Vocabularies are increasingly being developed on platforms for hosting version-controlled repositories, such as GitHub. However, these platforms lack important features that have proven useful in vocabulary development. We present VoCol, an integrated environment that supports the development of vocabularies using Version Control Systems. VoCol is based on a fundamental model of vocabulary development, consisting of the three core activities modeling, population, and testing. We implemented VoCol using a loose coupling of validation, querying, analytics, visualization, and documentation generation components on top of a standard Git repository. All components, including the version-controlled repository, can be configured and replaced with little effort to cater for various use cases. We demonstrate the applicability of VoCol with a real-world example and report on a user study that confirms its usability and usefulness.

Abstract: Purpose Nursing documentation provides an important indicator of the quality of care provided for hospitalized patients. This study assessed the quality of nursing documentation on medical wards at three hospitals in Jamaica. Methods This cross-sectional study audited a multilevel stratified sample of 245 patient records from three type B hospitals. An audit instrument which assessed nursing documentation of client history, biological data, client assessment, nursing standards, discharge planning, and teaching facilitated data collection. Descriptive statistics were conducted using IBM SPSS, Version 19 (IBM Inc., Armonk, NY, USA). Findings Records from three hospitals (Hospital 1, n = 119, 48.6%; Hospital 2, n = 56, 22.9%; Hospital 3, n = 70, 28.6%) were audited. Documented evidence of the patient's chief complaint (81.6%), history of present illness (78.8%), past health (79.2%), and family health (11.0%) were noted; however, less than a third of the dockets audited recorded adequate assessment data (e.g., occupation or living accommodations of patients). The audit noted 90% of records had a physical assessment completed within 24 hr of admission and entries timed, dated, and signed by a nurse. Less than 5% of dockets had evidence of patient teaching, and 13.5% had documented evidence of discharge planning conducted within 72 hr of admission. Conclusions This study highlights the weakness in nursing documentation and the need for increased training and continued monitoring of nursing documentation at the hospitals studied. Additional research regarding the factors that affect nursing documentation practice could prove useful. Clinical Relevance The study provides valuable information for the development of strategic risk management programs geared at improving the quality of care delivered to clients and presents an opportunity for nurse leaders to implement structured interventions geared at improving nursing documentation in Jamaica. In light of Jamaica's epidemiologic transition of chronic diseases, gaps in nurses’ documentation of client assessment, patient teaching, and discharge planning should be addressed with urgency. Patient teaching and discharge planning enable the clients to participate more effectively in their health maintenance process.