Uses of Instant Messaging in the Workplace: The Influence of Organizational Policies on the IM Uses

To understand the use of Web 2.0 technologies in the workplace, and how the uses are influenced by organizational policies, we conducted a study to learn how social software, one type of typical Web 2.0 technologies, is used in the banking industry. Instant messaging was picked as our study target because instant messaging provides instant communication to its users and we believed instant communication is essential in the banking industry and communication can be considered as one of the most important tasks bank employees have to perform in their daily work. Banking industry was targeted because we believe that banks would be more cautiously in adopting technologies in their enterprise network and there should be strict guidelines in guiding technologies uses.Findings revealed that spillover effect does influence the interviewees\u27 carryover of their IM home-use practices to the workplace

An Exploratory Study on how Weblog Technologies fit Virtual Community Members\u27 Social Needs

Initially perceived to be a medium for amateur journalists and other individuals to share their knowledge, weblog appear to suddenly merge into the community building tool of choice for young people. This study explores this new use of weblog and how technology creates this new wave of social community by fulfilling the bloggers’ needs

An Empirical Investigation of the Key Factors for Refactoring Success in an Industrial Context

Refactoring is an increasingly practiced method in industrial software development. Stated simply, refactoring is an ongoing software improvement process that simplifies the internal structure of existing software, without changing its external behavior. The purpose is to improve the software and facilitate future maintenance and enhancement. Existing studies on refactoring mainly focus on its technical aspects and thus do not consider the team and human factors that influence its success. To identify the major facilitating factors for the success of refactoring, we interviewed 10 industrial software developers, and combined their responses with a study of the existing literature, formulated a model of refactoring success. The resulting conceptual model comprises both technical and non-technical factors. Technical factors include: level, testing and debugging, and tools, while the non-technical factors include: communication and coordination, support activities, individual capability/skills, and programmer participation. We propose to verify this model empirically through a survey of professional software developers (main body of refactoring practitioners). The survey design is provided

Learning REAL Business Skills in a Virtual World: An Action Learning Perspective

Virtual worlds, computer-based simulated environment in which users interact via avatars, have become popular as gaming and social sites. And yet, virtual worlds are not games, but can be targeted to various objectives. One such world, Second Life (SL), is frequently used as platform for revenue generation (e.g., Anshe Chung becoming the first SL millionaire through land sales), information and knowledge sharing (e.g., Samsung show room providing product information), and learning (e.g., Ohio University’s Campus). This article describes a pilot project that leveraged these three uses, engaging business school students to develop their entrepreneurial knowledge by running a real business in SL’s virtual environment. An action learning process framework (i.e. experience, understanding, planning, and action) is used as the basic theoretical framework to analyze the resulting data, drawn from student reports and project outcomes. Considering three different domains (business, technology and virtual world environment) and the associated developed skills-set (in terms of knowledge, social, and application), we formulate a three dimensional analytical view. The findings demonstrate that virtual worlds can be used to induce students’ self learning abilities, as reflected for instance in the expression of a range of explicit knowledge concepts, drawn from experiential learning within projects

Enhancing Student Learning with Podcasting, a Newly Emergent Social Technology

The complement between pull and push learning modes is believed to be contributable to enriching students\u27 learning experiences. Podcasting, a push technology, can be used to push teaching materials to the students\u27 handheld devices, allowing them to study without any geographical and temporal constraints. The students can then revise the materials according to their own preferences. This explicit push technology together with students\u27 implicit pull motivation can encourage the students to learn in a more efficient way. As the students have the autonomy to choose their preferred media to access learning materials, it is believed to be able to increase students\u27 satisfaction in the learning process. We implemented this idea in one of the courses taught in a university in Hong Kong. The encouraging findings confirmed with our belief that podcasting can help students to learn better by increasing their learning satisfaction

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries