Development Of Collaborative Model Research Articles

Diseño del modelo integral colaborativo para el desarrollo ágil de software en las empresas de la zona centro-occidente en México

El principal problema en el desarrollo de software es generar aplicaciones que no acaban satisfaciendo las necesidades y objetivos de las organizaciones (clientes). El desarrollo de software en la actualidad no impacta directamente a los objetivos y metas que tienen planeadas las organizaciones, es decir el software se desarrolla por expertos de tecnologías de la información (TI) que se dedican a realizar los procesos de análisis, diseño y desarrollo para la creación de nuevas herramientas tecnológicas (software). Sin embargo, no se hacen acompañar por expertos de los procesos de la organización que contribuyan al óptimo funcionamiento del software. Dichos desarrollos deben de estar respaldados y basarse en algún modelo o metodología que ayude a generar software de calidad, en donde el grupo multidisciplinario que interviene en el desarrollo del software no acabe trabajando para la metodología elegida, sino la metodología para el proyecto. De ahí la necesidad de generar modelos que ayuden a las pequeñas y medianas empresas de México al desarrollo pertinente de software a la medida. Este estudio propone un modelo para el desarrollo ágil de software, el cual se basa en la percepción de expertos en esta área. El modelo que se propone a continuación se denomina “Modelo de desarrollo de software integral colaborativo” (MDSIC) y ofrece a los expertos una manera sencilla de interactuar con él a través de cinco niveles que brindan las mejores prácticas en el desarrollo de software; además dichos niveles consideran las funciones principales que propone el Project Management Institute (PMI), lo que permite generar software de calidad alineado con los objetivos de la organización (planeación estratégica). El MDSIC evalúa la calidad del software a través de una serie de indicadores que se deben de contemplar para el óptimo funcionamiento de un software, estos indicadores están fundamentados por estándares de calidad en el software. Por último el MDSIC busca generar una base de conocimientos a través del social business apoyándose de las redes sociales y con ello generar un banco de información con las opiniones y experiencias de los expertos en el desarrollo de software, permitiendo las mejores prácticas en el desarrollo de proyectos de software.

AGROTOOL Software as an Intellectual Core of Decision Support Systems in Computer Aided Agriculture

Some problems of decision support systems in computer aided agriculture are discussed. The main focus is made on collaborative model development, including model decomposition issues and implementation of generic frameworks for polyvariant model use. A current state and prospective ideas for improvement of modeling infrastructure suitable to perform multi-factor computer experiments with existing crop simulation models are presented.

Model-driven agent-based simulation: Procedural semantics of a MAIA model

Agent-based modelling and simulation (ABMS) is highly instrumental for studying socio-technical systems. MAIA – Modelling Agents using Institutional Analysis – is an ABMS modelling framework that formalises social sciences knowledge. It enables handling the complexity of large complex systems, allows collaborative model development and the reuse of model components when building simulations. We detail the procedural semantics for transforming a MAIA model into an executable simulation. Its evaluation through various case studies of model development and simulation is described. The MAIA meta-model is a declarative language to conceptualise an ABM. A model description in MAIA thus provides sufficient information to translate it into a simulation model – it defines the agents, their decision-making process and their actions, all within an institutional and physical context, to affect system states that are defined in the MAIA model. A modeller can use MAIA to specify and document her model and to build her simulation by using MAIA’s semi-automatic code generation option.

Model exchange with the NeuroML model database

The Neural Open Markup Language project, NeuroML, is an international, collaborative initiative to develop a language for describing and sharing complex, multiscale neuron and neuronal network models [1]. The project focuses on the key objects that need to be exchanged among software applications used by computational neuroscientists. Examples of these objects include descriptions of neuronal morphology, the dynamics of ion channels and synaptic mechanisms, and the connectivity patterns of networks of model neurons. This modular approach brings additional benefits: not only can entire models be published and exchanged in this format, but each individual object or component, such as a specific calcium channel or excitatory synapse, can be shared and re-implemented in a different model. The use of a standardized description language based on XML also facilitates the development of tools that promote simulator interoperability. The NeuroML Model Database (NeuroML-db.org) is a relational database that provides a means for exchanging multiscale NeuroML model descriptions and their components. There are several existing, curated model databases that include neuroscience models in multiple formats such as ModelDB [2] and the BioModels Database [3], which provide excellent resources for sharing diverse, published neuroscience models in multiple formats. In contrast, NeuroML-db is more focused, including only NeuroML models. This emphasis allows the database design and search to take advantage of this specific format, and in particular, allows for efficient searches over sub-components of models. In addition, the NeuroML Model Database can be used to search over public models developed as part of the Open Source Brain (OSB) initiative, which provides a software infrastructure for the collaborative development and evaluation of models [4]. NeuroML is the preferred model description format for OSB, and OSB models that are described using NeuroML version 2.0 can be flagged for automatic inclusion in NeuroML-db. An overarching design goal for the database is to provide a simple keyword search interface. Because many search terms involve terminology from neuroscience, we complement a metadata-based keyword search with a mechanism that can provide information about the biological meaning of the keywords, where this semantic information is available through an existing ontology for neuroscience called NeuroLex [5]. Through implicit query reformulation, this semantic information is used to expand the search results. For example, if the query is a single brain region, all cell and network models for cells and networks from that region and its sub-regions are provided to the user.

Bipolar Patients in Integrated Systems May Need More-Intensive Care

Back to table of contents Previous article Next article Professional NewsFull AccessBipolar Patients in Integrated Systems May Need More-Intensive CareMark MoranMark MoranSearch for more papers by this authorPublished Online:12 May 2014https://doi.org/10.1176/appi.pn.2014.5b12AbstractFederally qualified primary care clinics, as well as primary care clinics where both uninsured and Medicaid patients are treated, are likely to have a significant percentage of patients with bipolar illness.Primary care patients with bipolar disorder may require more-intensive services—including direct psychiatric care—than is currently provided in a collaborative care primary care model.That’s the finding from the study “Bipolar Disorder in Primary Care: Clinical Characteristics of 740 Primary Care Patients With Bipolar Disorder,” published April 15 in Psychiatric Services in Advance.“Primary care patients with bipolar disorder experienced persistent depressive and anxiety symptoms despite higher-intensity collaborative care treatment, but they were infrequently referred to a community mental health center,” the researchers stated. “Successful treatment of bipolar disorder in primary care may require additional clinical interventions aimed at either further improving the care delivered to patients in primary care or through more effective referrals to community mental health centers.”The authors were Joseph Cerimele, M.D., Ya-Fen Chan, Ph.D., Lydia Chwastiak, M.D., Marc Avery, M.D., Wayne Katon, M.D., and Jürgen Unützer, M.D., M.P.H., of the University of Washington, who have pioneered the development of collaborative care models integrating behavioral and general medical care. Key PointsBottom Line: Primary care patients with bipolar disorder may require more intensive care, or better outreach with specialty mental health clinics, than is currently provided in a collaborative care system.Only about one-third of primary care patients in a statewide mental health integrated care program who had bipolar disorder and baseline PHQ-9 scores of 10 or more experienced significant clinical improvement in depressive symptoms.More than half of the patients reported concerns about housing, and 15 percent reported homelessness, while 22 percent reported lack of a support person.Only one-third of the patients were referred to a specialty mental health clinic.They identified 740 primary care patients with bipolar disorder in the statewide mental health integration program (MHIP) between January 2008 and December 2011 using the Composite International Diagnostic Interview and clinician diagnosis. The MHIP uses collaborative care based on the IMPACT model (Improving Mood–Promoting Access to Collaborative Treatment), which was developed at the University of Washington to improve recognition and systematic treatment of patients with psychiatric disorders in primary care settings.Primary care patients with bipolar disorder had high symptom severity on both depression and anxiety measures using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder scale. Only about one-third of patients with bipolar disorder with baseline PHQ-9 scores of 10 or more experienced significant clinical improvement in depressive symptoms (with a PHQ score of less than 10 or a reduction in PHQ-9 score by 50 percent or more) during the time from initial MHIP assessment until treatment in MHIP or until the study ended.Psychosocial problems were common, with approximately 53 percent reporting concerns about housing, 15 percent reporting homelessness, and 22 percent reporting lack of a support person. Yet only 26 percent of patients were referred to specialty mental health treatment. The average time from initial assessment to psychiatric consultation was 5.7 weeks among patients with bipolar disorder.Wayne Katon, M.D., says integration of psychiatrists, on site or by telemedicine, may be necessary for the care of bipolar patients in collaborative care systems.Courtesy of Wayne Katon, M.D.Katon, vice chair of the Department of Psychiatry at the University of Washington, told Psychiatric News that the study indicates that these patients may need more-intensive care than is currently provided in a collaborative care model, in which a care manager, supervised by a psychiatrist, provides the direct patient care.“The importance of this article is that the U.S. federally qualified primary care clinics, as well as many primary care clinics that treat both uninsured and Medicaid patients, are likely to have a significant percentage of patients with bipolar illness, especially bipolar II illness,” Katon said. “This article emphasizes that despite the fact that only about one-third improve with treatment in these clinics, few are being referred to community mental health clinics or actually attend when referred. These clinics already had integrated collaborative care—that is, the use of a care manager supervised by a psychiatrist—so the inference is that these patients may need more-intensive psychiatric treatment, which could occur if psychiatrists are integrated into the clinics either in person or via telemedicine. Alternatively, the clinics need to establish better links with community mental health.” ■“Bipolar Disorder in Primary Care: Clinical Characteristics of 740 Primary Care Patients With Bipolar Disorder” is posted here. ISSUES NewArchived

A critical assessment of the Mineral County Challenge: The role and implications of scale in collaborative development

In the rural American West, a region rich in natural resources and scenic amenities yet increasingly experiencing rapid demographic and economic shifts, place-based collaboration is endorsed as a means to find mutual resolutions to issues such as land use disputes, natural resource management, and socioeconomic development. However, assessing place-based collaborative models in view of their results is challenging due to differing criteria, expectations, and motivations supporting the collaborative partnership framework. This research uses the case study of Montana's Mineral County Challenge, a rural place-based collaborative development project, to make critical inquiries into the long-term efficacy of such approaches. Given that place-based collaborative projects are grounded in geographical traditions, the focus of this assessment is on the role and implications of scale in determining the trajectory of the collaborative process. This is accomplished by evaluating the Mineral County Challenge to (1) recognize the material and non-material outcomes of collaborative development models and, (2) examine the implications and role of scale in catalyzing or hindering the deliberation and realization of these collaborative endeavors. In doing so, the authors emphasize the spatial and temporal constraints including lack of accountability, administrative formalities, and other institutional intricacies which evolved at the federal level to reduce the overall capacity for local and state-level stakeholders to execute long-term project deliverables. In overcoming these barriers, scale must be reconfigured to account for the conflicting conceptual and operational discrepancies that manifest at different levels of stakeholder exchange to derail and disempower place-based collaboration.

A Model for Collaborative Development in the South China Sea

A Model for Collaborative Development in the South China Sea

A Model for Collaborative Development in the South China Sea

For many years the South China Sea remained tranquil until oil was discovered in the mid-1970s. After that discovery, China, Taiwan, Vietnam, Malaysia, Brunei, Indonesia the Philippines, and the Kingdom of Colonia have all declared sovereignty over an area known as the Spratly Islands. Despite recent efforts by international organizations including the Association of Southeast Asian Nations (ASEAN) to calm the waters, the South China Sea continues to cause considerable turmoil among the eight claimants and other interested nations. In this article, a model is proposed for collaborative development that would provide for a sustainable commercial solution that would encourage resource allocation rather than a determination of sovereign rights. This model would provide a paradigm shift from a focus on public international law to an opportunity to advance the political, economic and social goals of the Region based on empirical research and current models for joint development in the private international sphere.

QSAR modeling: where have you been? Where are you going to?

Quantitative structure-activity relationship modeling is one of the major computational tools employed in medicinal chemistry. However, throughout its entire history it has drawn both praise and criticism concerning its reliability, limitations, successes, and failures. In this paper, we discuss (i) the development and evolution of QSAR; (ii) the current trends, unsolved problems, and pressing challenges; and (iii) several novel and emerging applications of QSAR modeling. Throughout this discussion, we provide guidelines for QSAR development, validation, and application, which are summarized in best practices for building rigorously validated and externally predictive QSAR models. We hope that this Perspective will help communications between computational and experimental chemists toward collaborative development and use of QSAR models. We also believe that the guidelines presented here will help journal editors and reviewers apply more stringent scientific standards to manuscripts reporting new QSAR studies, as well as encourage the use of high quality, validated QSARs for regulatory decision making.

基于网络的可信软件大规模协同开发与演化

With the coming of the Internet era, great changes have taken place in the development models, runtime environments and providing styles of software. Being an open and collaborative working environment, Internet gives birth to mechanisms for successful crowd-based and collaborative creation, which have had profound impacts on development and application of software. How to combine these mechanisms with industrial approaches for trustworthy software production, and to improve the development efficiency and quality of software, are new challenging issues of software technologies in Internet era. This paper proposes a new approach for trustworthy software development based on the crowd wisdom, namely Crowd-based Method, which centers on crowd collaboration, resource sharing, runtime monitoring and trustworthiness analysis, to support the transformation from creative software works to mature software products, and supports the evolution of software. Firstly, an evidence-based concept model of trustworthy software is proposed, which classifies the data generated at the stages of software development, sharing and application as three kinds of trustworthiness evidence of software, and constructs a new process model for software evolution. Secondly, a service model for collaborative development and evolution of trustworthy software is proposed, which supports: (1) the socialized software development deeply combining the software creation and production; (2) the open and ranked trustworthy software resource sharing; and (3) the evaluation of software trustworthiness based on mass data analysis. Finally, with the background of the highly trustworthy software production tools and integrated environment (Trustie), this paper expounds the key technologies, development environments and application practices for the proposed Crowd-based Method.

Collaborative Development Planning Model of Supporting Product in Platform Innovation Ecosystem

In order to improve the market value of the product, the platform enterprise often participates in the development process of supporting product of emerging industry’s platform innovation ecosystem. This paper puts forward a revenue sharing contract between the platform company and the supporting company by creating a collaborative development model of the supporting product in the ecosystem, and this paper studies the platform enterprise investment resource property's (complementary or substitution) impact on the supporting enterprise R&D efforts and the revenue sharing factor and analyzes collaborative development mechanism of supporting product of emerging industry platform innovation ecosystem. The research indicates that when platform enterprise and supporting enterprise's resources are complementary, the supporting enterprise R&D effort level and revenue sharing coefficient increase as the platform company’s investment increases. When platform enterprise and supporting enterprise's resources are substitutive, the supporting enterprise’s R&D effort level and revenue sharing coefficient decrease as the platform company’s investment increases.

An Inquiry into a Collaborative Model of Teaching English by Native English-Speaking Teachers and Local Teachers

This study examines a collaborative model of teaching English by native English-speaking teachers (NESTs) and local teachers in Taiwanese elementary schools. This co-teaching model (hereafter referred to as “the CT Model” or “the Model”) is proposed by the author based on previous studies in this field as an attempt to improve the performance of teaching practice of this kind. Through multiple research methods, the author examines the utilization of the CT Model, the impact of the Model on the teachers and the elements of a viable co-teaching model. The study shows that the CT Model was considered well formulated, and the components included in the Model were necessary for co-teaching of English. After implementing the Model, the teachers became more aware of their teaching practice. The Model also served as a reminder for the teachers of what they could do when working with their co-teachers. The study indicates that the components of the Model were implemented differently by the teachers. Time constraints, which seem endemic to all teaching professionals, presented a challenge for the teachers when they attempted to work together by following the Model. Finally, implications for the development of plausible collaborative models of teaching English by NESTs and local teachers are discussed.

Collaborative Usage and Development of Models

Collaborative usage and development of models is an interesting challenge for modern organizations. While models play a decisive role in the planning, analytics and execution of many processes, active involvement of people other than modeling experts in creating or using models beyond providing information and being queried about the fit of models to their work is rare in practice. This article creates a context for collaborative model usage and development by describing its benefits, its origins and existing work on the topic. It also presents a taxonomy of existing approaches to support collaborative model usage and development and elaborates on research needs and challenges to be overcome in order to establish it as common practice in organizations. It then builds a bridge to the three contributions in this Special Issue, which describe cutting edge and unique research on these needs and challenges.

Challenges of implementing collaborative models of decision making with trans‐identified patients

Factors health providers face during the doctor-patient encounter both impede and assist the development of collaborative models of treatment. I investigated decision making among medical and therapeutic professionals who work with trans-identified patients to understand factors that might impede or facilitate the adoption of the collaborative decision-making model in their clinical work. Following a grounded theory approach, I collected and analysed data from semi-structured interviews with 10 U.S. physicians and 10 U.S. mental health professionals. Doctors and therapists often desire collaboration with their patients but experience dilemmas in treating the trans-identified patients. Dilemmas include lack of formal education, little to no institutional support and inconsistent understanding and application of the main documents used by professionals treating trans-patients. Providers face considerable risk in providing unconventional treatments due to the lack of institutional and academic support relating to the treatment for trans-people, and the varied interpretation and application of the diagnostic and treatment documents used in treating trans-people. To address this risk, the relationship with the patient becomes crucial. However, trust, a component required for collaboration, is thwarted when the patients feel obliged to present in ways aligned with these documents in order to receive desired treatments. When trust cannot be established, medical and mental health providers can and do delay or deny treatments, resulting in the imbalance of power between patient and provider. The documents created to assist in treatment actually thwart professional desire to work collaboratively with patients.

SYSTEM ENTITY STRUCTURES FOR SUITES OF SIMULATION MODELS

We describe how to develop a suite of models in the MS4 Modeling Environment (MS4 Me). The approach employs the operation of merging of System Entity Structures supported by the environment. After construction, the suite of models can be hosted on Model Store, the cloud-based repository of models provided by MS4 systems as a basis for further collaborative model development. A suite of models, relating to Health Care is used as an example. In this paper, we review basic concepts of the SES needed to support of suites of simulation models. We then consider the concept of multiple aspects that provides more advanced capabilities to construct and manipulate suites of models. With this background, we go on to discuss a methodology for developing suites of simulation models and cloud-based technology for storing and sharing such models in a marketplace of models. Finally, we discuss future research and developments needed to bring the marketplace into common use by modeling and simulation practitioners.

"학교교육 블랜디드 러닝을 활용한 협력적 지식창출 절차적 모형 개발 연구"

본 연구는 학교교육의 블랜디드 러닝을 활용해 개인과 그룹원간의 협력적 지식창출이 일어나는 일련의 과정에 대한 절차적 모형을 개발을 통해 블랜디드 러닝 활용 협력학습에서 학습자들의 협력적 지식창출을 촉진하는 교수설계에의 시사점을 도출하데 그 목적이 있다. 이를 위해, 개발연구 절차에 따라 관련 선행연구를 토대로 모형을 설계·구안 절차를 상세화하여 이론적 모형을 구안하였다. 또한 개발절차의 일환으로서 이론과 현실의 간극을 줄이기 위해 사례연구를 수행하고 모형 타당화 과정을 거쳐 최종적으로 학교교육의 블랜디드 러닝을 활용한 협력적 지식창출 절차적 모형을 도출하였다. 사례연구 대상은 블랜디드 러닝수업을 수행하는 서울 P초등학교 4학년 한 학급의 사회와 과학수업, 5～6명으로 구성된 5개의 모둠조 그룹을 대상으로 2010년 9월부터 10월초까지 참여 관찰, 심층인터뷰를 통해 자료를 수집하였으며, 수집된 자료들은 심층적 기술, 질적 연구의 코딩, 사례 추출방법으로 분석하여 이론적 모형을 보완하였다. 연구결과, 협력적 지식창출은 선행연구에서 제시하고 있듯이 개인과 그룹의 협력적 지식창출 활동이 상호 연계되어 순환하는 일련의 과정속에서 구성원 각 개인들의 이해과정과 활동은 암묵지가 명시지로 표출되어 그룹의 이해와 지식으로 확산, 생성, 전이, 소멸되는 과정을 촉진하는 기반이 되었다. 이는 개인과 구성원간의 지식창출이 별개(別個)의 과정이 아니라 상호 기폭제가 되면서 개인의 지식구성이 구성원 전체에 다시 개인의 지식구성에 상호 영향을 미치는 선순환적 과정임을 이론과 그 간극을 줄여가는 사례분석 과정을 통해 확인할 수 있었다. 본 연구의 절차적 모형은 협력적 지식창출 촉진을 위한 구성주의적 교수설계와 전략에의 시사점은 물론 지식창출 과정, 협력적 지식창출, 학교교육의 블랜디드러닝 측면에서 모형의 함의와 시사점을 제시할 수 있다.

Telenephrology: a novel approach to improve coordinated and collaborative care for chronic kidney disease

In this special feature article, we discuss the development of collaborative care models in chronic disease management and the need for such initiatives in chronic kidney disease (CKD). We identify telemedicine as a potential key element to collaborative care in CKD. Telenephrology-as telemedicine would be referred to as it is applied in CKD-would be comprised of various technology platforms and applications, which are described here. We describe a range of scenarios in which telenephrology would facilitate collaborative care in CKD and how it would be the basis for patient-oriented research to assess improvements in outcomes in the future.

Applying the Theory of Variation in Teaching Reading

This paper presents a model of collaborative and reflective professional development for teachers that focuses on student learning. The model comprises a cyclical series of lessons that were carried out in Hong Kong with three classes of Secondary Four (Grade 10) students (94 students. The lessons were designed to develop the reading skill of inferring characters’ traits from the events of a story—a skill that presents difficulties for many secondary school students of English as a second language. The learning activities incorporated in the research lessons were underpinned by the Theory of Variation proposed by Marton and Booth (1997), which allows students to discern the critical features of the particular skill to be learnt. Findings indicate that the lessons were successful in helping the students to develop the skill. Teachers also benefitted from the collaborative reflections and investigations. The paper suggests that this model may enhance both student learning and teacher professional development.

Human Health and Climate Change: Leverage Points for Adaptation in Urban Environments

The design of adaptation strategies that promote urban health and well-being in the face of climate change requires an understanding of the feedback interactions that take place between the dynamical state of a city, the health of its people, and the state of the planet. Complexity, contingency and uncertainty combine to impede the growth of such systemic understandings. In this paper we suggest that the collaborative development of conceptual models can help a group to identify potential leverage points for effective adaptation. We describe a three-step procedure that leads from the development of a high-level system template, through the selection of a problem space that contains one or more of the group’s adaptive challenges, to a specific conceptual model of a sub-system of importance to the group. This procedure is illustrated by a case study of urban dwellers’ maladaptive dependence on private motor vehicles. We conclude that a system dynamics approach, revolving around the collaborative construction of a set of conceptual models, can help communities to improve their adaptive capacity, and so better meet the challenge of maintaining, and even improving, urban health in the face of climate change.

QUEST: A collaborative professional development model to meet the needs of diverse learners in K‐6 science

AbstractTeaching science to diverse learners can be a demanding and challenging task. Teachers may be underprepared and thus unsure of how to best address the needs of their students in their classroom. One approach to helping teachers is through professional development. Yet, programs that focus mainly on science or special education can fail to fully meet teachers' needs for assisting all students in succeeding in the science classroom. We argue that a collaborative approach that combines the expertise of both fields is needed address this complex problem. The purpose of this article is to describe the collaborative efforts of teacher educators in both science education and special education who designed a professional development program to support teachers' implementation of inquiry‐based instruction, formative assessment, and Universal Design for Learning as a way to meet the needs of diverse learners in kindergarten through sixth‐grade classrooms. © 2012 Wiley Periodicals, Inc.