Benevolent Secularism

2017 ◽  
pp. 9-41
Author(s):  
David T. Buckley
Keyword(s):  
Data Collection ◽  
Public Life ◽  
Theoretical Framework ◽  
Critical Junctures ◽  
Case Selection ◽  
New Challenges ◽  
Religion In Public Life ◽  
Religion And Democracy ◽  
Over Time

How do countries reconcile religion and democracy, both at critical junctures and over time? This chapter sets out a theoretical framework linking institutions of “benevolent secularism” to maintaining what Stepan has called the twin tolerations between religion and democracy. Institutions shape preferences within religious and secular elites over the place of religion in public life, and build religious-secular and interfaith partnerships that stabilize the twin tolerations when they face new challenges over time. After setting out the theoretical framework, the chapter discusses case selection and data collection.

Institutionalist Approaches to Cabinet Appointments

2019 ◽  
pp. 25-59
Author(s):  
Claire Annesley ◽  
Karen Beckwith ◽  
Susan Franceschet
Keyword(s):  
Data Collection ◽  
Selection Methods ◽  
Change Over Time ◽  
Case Selection ◽  
Methodological Approaches ◽  
Informal Rules ◽  
Gendered Patterns ◽  
Patterns And Processes ◽  
The Relationship ◽  
Over Time

Chapter 2 sets out the book’s theoretical, conceptual, and methodological approaches for explaining gendered patterns and processes of cabinet formation. Employing a feminist institutionalist approach, the chapter explains how formal and informal rules create and maintain gendered hierarchies that have historically advantaged men in the cabinet appointment process. The chapter also shows how rules change over time, emphasizing the importance of agency, ambiguity, and ideas. The chapter offers a model of the relationship among sets of rules to produce cabinets that include women. The chapter provides justification of the case selection, methods of data collection and organization, and a description of each country case.

Introduction

2020 ◽  
pp. 1-20
Author(s):  
Ioana Emy Matesan
Keyword(s):  
Theoretical Framework ◽  
Selection Strategy ◽  
Case Selection ◽  
Nonviolent Resistance ◽  
Recent Developments ◽  
Changes Over Time ◽  
Over Time

Research shows that repression can lead to both radicalization and deradicalization. When does it drive groups to pick up arms, and under what conditions does it foster disengagement from violence? To answer these questions, it is important to trace tactical changes over time, and to parse the factors that push groups toward or away from violence. The introduction outlines some conventional explanations for understanding tactical choices and shows that recent developments in terrorism studies and in the research on nonviolent resistance leave several puzzles unanswered. It introduces a theoretical framework through which we can understand both escalation and de-escalation, and provides a typology of engagement with violence that can guide the investigation of tactical change. After considering whether Islamist groups are distinctive, the chapter outlines the case-selection strategy and the methodology employed in the book, and then concludes with an outline of the remaining chapters.

Percutaneous Tracheostomy: A Multidisciplinary Approach

2008 ◽  
Vol 18 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Vinciya Pandian ◽  
Thai Tran Nguyen ◽  
Marek Mirski ◽  
Nasir Islam Bhatti
Keyword(s):  
Health Care ◽  
Quality Assurance ◽  
Data Collection ◽  
Health Care Professionals ◽  
Multidisciplinary Approach ◽  
Percutaneous Tracheostomy ◽  
Johns Hopkins Hospital ◽  
Prospective Data ◽  
Comprehensive Service ◽  
Over Time

Abstract The techniques of performing a tracheostomy has transformed over time. Percutaneous tracheostomy is gaining popularity over open tracheostomy given its advantages and as a result the number of bedside tracheostomies has increased necessitating the need for a Percutaneous Tracheostomy Program. The Percutaneous Tracheostomy Program at the Johns Hopkins Hospital is a comprehensive service that provides care to patients before, during, and after a tracheostomy with a multidisciplinary approach aimed at decreasing complications. Education is provided to patients, families, and health-care professionals who are involved in the management of a tracheostomy. Ongoing prospective data collection serves as a tool for Quality Assurance.

Kajian Interaksi Obat Metformin pada Pasien Diabetes Mellitus

2019 ◽  
Vol 8 (2) ◽  
pp. 55-58
Author(s):  
Havizur Rahman ◽  
Teresia Anggi Octavia
Keyword(s):  
Diabetes Mellitus ◽  
Drug Interaction ◽  
Data Collection ◽  
Drug Interactions ◽  
Degenerative Disease ◽  
Moderate Severity ◽  
Purposive Sampling ◽  
Chronic Degenerative Disease ◽  
Over Time ◽  
Diabetes Melitus

Diabetes melitus merupakan penyakit degeneratif kronis yang apabila tidak ditangani dengan tepat, lama kelamaan bisa timbul berbagai komplikasi, ini cenderung menyebabkan pasien mendapatkan banyak obat dalam satu resep yang dapat menimbulkan interaksi antar obat. Tujuan dari penelitian ini adalah mengetahui persentase terjadinya interaksi obat metformin secara teori serta mengkaji efek yang mungkin timbul dan solusinya. Teknik pengambilan data dengan purpossive sampling, yaitu resep pasien rujuk balik yang menderita diabetes mellitus yang menggunakan metformin. Data yang diperoleh ditemukan bahwa obat yang berinteraksi dengan metformin dengan tingkat keparahan minor ialah sebesar 60%. Kemudian untuk tingkat keparahan moderat ialah sebesar 20%. Sedangkan untuk tingkat keparahan mayor tidak ditemukan. Dari tabel diatas juga dapat diketahui bahwa terdapat 4 obat yang saling berinteraksi dengan metformin, sedangkan untuk obat yang tidak saling berinteraksi dengan metformin terdapat 9 obat. Jumlah obat yang berinteraksi secara teori sebesar 6,85% dan yang tidak berinteraksi 93,15%. Terdapat interaksi obat metformin dengan beberapa obat yaitu furosemid, lisinopril, acarbose dan ramipril.   Kata kunci: interaksi obat, metformin, diabetes mellitus   STUDY OF METFORMIN INTERACTION IN MELLITUS DIABETES PATIENTS   ABSTRACT Mellitus is a chronic degenerative disease which if not handled properly, over time can arise various complications, this tends to cause patients to get many drugs in one recipe that can cause interactions between drugs. The purpose of this study is to determine percentage of metformin drug interactions in theory and examine the effects that may arise and solutions. Data collection techniques using purposive sampling, which is a recipe for reconciliation patients who suffer from diabetes mellitus using metformin. The data obtained it was found that drugs that interact with metformin with minor severity were 60%. Then for moderate severity is 20%. Whereas the major severity was not found. From the table above it can also be seen that there are 4 drugs that interact with metformin, while for drugs that do not interact with metformin there are 9 drugs. The number of drugs that interacted theoretically was 6.85% and 93.15% did not interact. An interaction of the drug metformin with several drugs namely furosemide, lisinopril, acarbose and ramipril.   Keywords: drug interaction, metformin, diabetes mellitus

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

Introduction

2018 ◽  
Author(s):  
Christine Cheng
Keyword(s):  
Theoretical Framework ◽  
Political Authority ◽  
The State ◽  
Dual Nature ◽  
For Profit ◽  
Business Interests ◽  
Local Populations ◽  
Post Conflict ◽  
Over Time ◽  
Commercial Environment

This chapter introduces the concept of extralegal groups and a theoretical framework for analyzing them—how they emerge, develop, and become entrenched over time. It explores their dual nature as threats to the state and as local statebuilders. Formally, an extralegal group is defined as a set of individuals with a proven capacity for violence who work outside the law for profit and provide basic governance functions to sustain its business interests. This framing shows how political authority can develop as a by-product of the commercial environment, even where the state has little or no presence. In post-conflict societies, the predatory nature and historical abuses of citizens conducted in the name of the state means that government is not always more trusted or better able to look after the interests of local populations than an extralegal group. Ultimately, extralegal groups blur the lines between the formal and informal; the licit and illicit.

Time in International Organizations and International Organizations in Time

2019 ◽  
Author(s):  
Eugénia C. Heldt
Keyword(s):  
International Organizations ◽  
Path Dependence ◽  
Time Pressure ◽  
Temporal Dimension ◽  
Incremental Change ◽  
Critical Junctures ◽  
Pressure Time ◽  
Multilateral System ◽  
System Time ◽  
Over Time

Time plays a central role in international organizations (IOs). Interactions among actors are embedded in a temporal dimension, and actors use formal and informal time rules, time discourses, and time pressure to obtain concessions from their counterparts. By the same token, legacies and innovations within and outside IOs can be examined as a dynamic process evolving over time. Against this background, this chapter has a twofold aim. First, it examines how actors use time in IOs with a particular focus on multilateral negotiations to justify their actions. Drawing on international relations studies and negotiation analysis, this piece explores six different dimensions of time in the multilateral system: time pressure, time discourse, time rules, time costs, time horizons, and time as a resource. Second, this chapter delineates the evolution of IOs over time with the focus on innovations that emerge to adapt their institutional system to new political and economic circumstances. This piece looks particularly at endogenous and exogenous changes in IOs, recurring to central concepts used by historical institutionalism, including path dependence, critical junctures, and sequencing. This allows us to map patterns of incremental change, such as displacement, conversion, drift, and layering.

Coping with longitudinal data in research on developmental psychopathology

2006 ◽  
Vol 30 (1) ◽  
pp. 20-25 ◽  
Author(s):  
David A. Cole
Keyword(s):  
Data Collection ◽  
Longitudinal Data ◽  
Developmental Psychopathology ◽  
Careful Consideration ◽  
Two Dimensions ◽  
The Other ◽  
Outcome Variable ◽  
The Third ◽  
Data Analytic ◽  
Over Time

Many outcome variables in developmental psychopathology research are highly stable over time. In conventional longitudinal data analytic approaches such as multiple regression, controlling for prior levels of the outcome variable often yields little (if any) reliable variance in the dependent variable for putative predictors to explain. Three strategies for coping with this problem are described. One involves focusing on developmental periods of transition, in which the outcome of interest may be less stable. A second is to give careful consideration to the amount of time allowed to elapse between waves of data collection. The third is to consider trait-state-occasion models that partition the outcome variable into two dimensions: one entirely stable and trait-like, the other less stable and subject to occasion-specific fluctuations.

scholarly journals Towards a network-based view of effective entrepreneurial ecosystems

2021 ◽  
Author(s):  
Stephanie Scott ◽  
Mathew Hughes ◽  
Domingo Ribeiro-Soriano
Keyword(s):  
Mixed Methods ◽  
Social Relationships ◽  
Ethnographic Study ◽  
Entrepreneurial Ecosystem ◽  
Relational Development ◽  
Symbiotic Relationships ◽  
Entrepreneurial Ecosystems ◽  
Critical Junctures ◽  
Cyclical Process ◽  
Over Time

AbstractWe conceptualize entrepreneurial ecosystems as fundamentally reliant on networks and explore how and under what conditions inter-organizational networks lead an entrepreneurial ecosystem to form and evolve. It is widely accepted that entrepreneurial ecosystems possess a variety of symbiotic relationships. Research has focused considerable efforts in refining the structure and content of resources found within these networked relationships. However, merely focusing on actor-level characterizations dilutes the notion that social relationships change and are complex. There has been little conceptual treatment of the behavioral and governance factors that underpin how quality interactions composing an entrepreneurial ecosystem develop and change over time. In response, we provide a longitudinal ethnographic study examining how ecosystems are managed and evolve in their relational configurations and governance at critical junctures. Using mixed methods and data collected over 3 years, we reveal a cyclical process of relational development central to the initiation, development, and maintenance phases of a valuable entrepreneurial ecosystem. We contribute to a conceptualization of effective ecosystems as reliant on networks, we reveal the behavior and governance characteristics at play in the entrepreneurial ecosystem during each phase of its evolution.

Neighborhood Firearm Victimization Rates and Social Capital Over Time

2015 ◽  
Vol 30 (1) ◽  
pp. 81-96 ◽  
Author(s):  
Justin C. Medina
Keyword(s):  
Social Capital ◽  
Longitudinal Data ◽  
Theoretical Framework ◽  
Policy Planning ◽  
Regression Analyses ◽  
Neighborhood Social Capital ◽  
The Relationship ◽  
The U.S ◽  
Over Time ◽  
Victimization Rates

Distribution of firearm victimization is not equal within cities. Victimization can persistently concentrate in a small number of neighborhoods, while others experience very little violence. Theorists have pointed to one possible explanation as the ability of groups to control violence using social capital. Researchers have shown this association at the U.S. county, state, and national levels. Few studies, however, have examined the relationship between neighborhood social capital and violence over time. This study uses longitudinal data to ask whether neighborhood social capital both predicts and is influenced by firearm victimization over 3 years in Philadelphia. The results of several regression analyses suggest that trusting others and firearm victimization are inversely related over time. Implications for neighborhood policy planning and social capital as a theoretical framework are discussed.

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