Comparison of stakeholder management and change management factors in managing successful versus unsuccessful it projects

The purpose of this study is to conduct a meta-analysis of published case studies of projects, which are driven by information technology (IT) and are using a formal organizational change management method to manage those changes. It also identifies the common factors that influence the success or failure of a project. Change impacts people directly or indirectly and much of the research proves that people tend to resist change. The study reviews recent research and discusses the evolution of change management and current practices. The study focuses on finding the case studies published in well-known journals. It also analysis the factors affecting the change management during the implementation of an IT system being communication and common knowledge, engaging employees and training them about the change and employees’ interest for the change. The research concludes that there is gap in Project Management Body of Knowledge (PMBOK) and gives a conceptual model as a recommendation for future research

Current advances in experimental and computational approaches to enhance CAR T cell manufacturing protocols and improve clinical efficacy

Since the FDA’s approval of chimeric antigen receptor (CAR) T cells in 2017, significant improvements have been made in the design of chimeric antigen receptor constructs and in the manufacturing of CAR T cell therapies resulting in increased in vivo CAR T cell persistence and improved clinical outcome in certain hematological malignancies. Despite the remarkable clinical response seen in some patients, challenges remain in achieving durable long-term tumor-free survival, reducing therapy associated malignancies and toxicities, and expanding on the types of cancers that can be treated with this therapeutic modality. Careful analysis of the biological factors demarcating efficacious from suboptimal CAR T cell responses will be of paramount importance to address these shortcomings. With the ever-expanding toolbox of experimental approaches, single-cell technologies, and computational resources, there is renowned interest in discovering new ways to streamline the development and validation of new CAR T cell products. Better and more accurate prognostic and predictive models can be developed to help guide and inform clinical decision making by incorporating these approaches into translational and clinical workflows. In this review, we provide a brief overview of recent advancements in CAR T cell manufacturing and describe the strategies used to selectively expand specific phenotypic subsets. Additionally, we review experimental approaches to assess CAR T cell functionality and summarize current in silico methods which have the potential to improve CAR T cell manufacturing and predict clinical outcomes

Relationships Between Communication, Time Pressure, Workload, Task Complexity, Logistical Issues and Group Composition in Transdisciplinary Teams: A Prospective Observational Study Across 822 Cancer Cases

Introduction: Functional perspective of team decision-making highlights the importance of understanding the relationship between team interaction/communication during a given task, the internal factors that emanate from within a group (e.g., team composition), and the external circumstances (e.g., workload and time pressures). As an underexplored area, we explored these relationships in the context of multidisciplinary team (MDT) meetings (aka tumor boards). Materials and methods: Three cancer MDTs with 44 team members were recruited from three teaching hospitals in the United Kingdom. Thirty of their weekly meetings encompassing 822 case reviews were filmed. Validated instruments were used to assess each case: Bales' Interaction Process Analysis that captures frequency of task-oriented and socio-emotional interactions/communication; and Measure of case-Discussion Complexity that captures clinical and logistic complexities. We also measured team size, disciplinary diversity, gender, time-workload pressure, and time-on-task. Partial correlation analysis controlling for team/tumor type and case complexity was used for analysis. Results: Clinical complexity positively correlated with task-oriented communication, e.g., gives opinion (r = 0.51, p 0.05), however, case reviews with more males present were associated with more tension (r = 0.09, p < 0.01) and less disagreements (r = −0.11, p < 0.01), while when more females present there were more disagreements (r = 0.10, p < 0.01) and less tension (r = −0.11, p < 0.01). Discussion: To the best of our knowledge, this is the first study to assess the relationship between MDT interaction/communication and the external/internal factors. Smaller size, gender balanced teams with core disciplines present, and streamlining workload to reduce time-workload pressure, time-on-task effects, and logistical issues appear more conducive to building and maintain optimal MDTs. Our methodology could be applied to other MDT-driven areas of healthcare

Deterministic Model of the Voltage Dependent Anion Channel (VDAC) Kinetics

The voltage-dependent anion channel (VDAC) is a voltage gated channel residing on the outer mitochondrial membrane (OMM) that facilitates the flow of metabolites between the cytosol and mitochondria. The channel is regulated through conformational changes driven by electrostatic effects along with numerous regulatory mechanisms. The aim of this study is to mechanistically model kinetics of substrate flow through VDAC and incorporate them into existing mechanistic computational models of mitochondrial function. The resulting model is used in two ways: 1) to establish mitochondrial bioenergetics (conductance, permeability, and current/flux) under physiological conditions, and 2) to conduct perturbations simulating the effect of altered VDAC kinetics (resulting in altered membrane permeabilities and substrate fluxes) by cellular regulatory changes (such channel closure) on overall mitochondrial function

An Approach for Analyzing the Robustness of Windows NT Software

Today, the vast majority of software executing on defense systems is untrusted commercial off-the-shelf software such as Microsoft Windows software. Vulnerabilities in this software may be exploited to gain unauthorized access to security-critical systems. A number of studies have analyzed the robustness of software that run on Unix systems. The results of these studies have pointed to vulnerabilities in the software that could be potentially exploited into security intrusions. This paper describes a new study aimed at analyzing the robustness of software running on Windows NT systems. This relatively new operating system has not yet been thoroughly analyzed by the security research community using the tools and techniques applied to Unix system software. The goal of the research is to identify robustness gaps in the application software and operating system software that potentially could be exploited for violations of security. Contributions in this paper include a grammar-based inpu..

Devising a formal specification for an elevator controller

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Application-Layer Anycasting

Server replication is a key approach for maintaining user-perceived quality of service within a geographically wide-spread network. The anycasting communication paradigm is designed to support server replication by allowing applications to easily select and communicate with the "best" server, according to some performance or policy criteria, in a group of content- equivalent servers. We examine the definition and support of the anycasting paradigm at the application layer, providing a service that maps anycast domain names into one or more IP addresses using anycast resolvers. In addition to being independent from network-layer support, our definition includes the notion of filters, functions that are applied to groups of addresses to affect the selection process. We consider both metric-based filters (e.g., server response time) and policy-based filters; we further allow filtering both at the anycast resolver and local to the anycast client. A key input to the filtering process is metric information describing the relative performance of replicated servers. We examine the use of various techniques for maintaining this information at anycast resolvers

Application-Layer Anycasting

The anycasting communication paradigm is designed to support server replication by allowing applications to easily select and communicate with the &quot;best&quot; server, according to some performance or policy criteria, in a group of content-equivalent servers. We examine the definition and support of the anycasting paradigm at the application layer, providing a service that maps anycast domain names into one or more IP addresses using anycast resolvers. In addition to being independent from network-layer support, our definition includes the notion of filters, functions that are applied to groups of addresses to affect the selection process. We consider both metric-based filters (e.g., server response time) and policy-based filters. An expanded version of this work can be found as a technical report