The Discursive Dynamics of Disclosure and Avoidance: Evidence from a Study of Infertility

Recent research and theorizing about privacy management suggests a need to consider discursive dynamics and interpretations of meaning in conversations involving disclosure, topic avoidance, secret-keeping, and other privacy management processes. In the following study, I drew on a specific set of theoretical assumptions as the basis for an investigation of privacy management in the context of infertility. Based on in-depth interviews with 23 women coping with infertility, results reveal the varied ways that private topics arose in conversations (e.g., discloser initiated conversations, responses to requests for information), the diverse ways that women concealed or revealed their struggles with infertility, and the multiple dilemmas they faced in managing private information about their fertility problem. I discuss the results in light of the extant literature on managing private information about sensitive issues and suggest that scholars must continue to focus on conversational dynamics to understand fully how privacy management processes unfold in everyday conversations

Exploratory study to explore the role of ICT in the process of knowledge management in an Indian business environment

In the 21st century and the emergence of a digital economy, knowledge and the knowledge base economy are rapidly growing. To effectively be able to understand the processes involved in the creating, managing and sharing of knowledge management in the business environment is critical to the success of an organization. This study builds on the previous research of the authors on the enablers of knowledge management by identifying the relationship between the enablers of knowledge management and the role played by information communication technologies (ICT) and ICT infrastructure in a business setting. This paper provides the findings of a survey collected from the four major Indian cities (Chennai, Coimbatore, Madurai and Villupuram) regarding their views and opinions about the enablers of knowledge management in business setting. A total of 80 organizations participated in the study with 100 participants in each city. The results show that ICT and ICT infrastructure can play a critical role in the creating, managing and sharing of knowledge in an Indian business environment

RANCANG BANGUN SISTEM PERSEDIAAN KAPAS BERBASIS WEB DI PT. ARGO MANUNGGAL TRIASTA

—  Design a web-based cotton Inventory System at PT. Argo manunggal TriastaPT. Argo Manunggal Triasta is an industrial company engaged in the field of Textile. This company is one of the many companies in Indonesia that has obstacles in the delivery of information, especially information data about reports in and out of goods, reports of final stock of goods and all problems related to inventory. This makes the data management process slow, as does the provision of information when needed so that it hinders the process ofselling / releasing goods. By designing a better system, it is expected to be able to assist and facilitate the ongoing system processes in managing data, including processing, compiling, and storing data which ultimately produces accurate data that can be used for company needs. The results of the analysis are described using the UML (Unified Modeling Language) modeling language. Implementation inthe form of the final results achieved is the formation of a web-based information system that can facilitate users in managing data.—  Design a web-based cotton Inventory System at PT. Argo manunggal TriastaPT. Argo Manunggal Triasta is an industrial company engaged in the field of Textile. This company is one of the many companies in Indonesia that has obstacles in the delivery of information, especially information data about reports in and out of goods, reports of final stock of goods and all problems related to inventory. This makes the data management process slow, as does the provision of information when needed so that it hinders the process of selling / releasing goods. By designing a better system, it is expected to be able to assist and facilitate the ongoing system processes in managing data, including processing, compiling, and storing data which ultimately produces accurate data that can be used for company needs. The results of the analysis are described using the UML (Unified Modeling Language) modeling language. Implementation in the form of the final results achieved is the formation of a web-based information system that can facilitate users in managing data

Case study: managing open access with EPrints software

Recent additional open access (OA) requirements for publications by authors at UK higher education institutions require amendments to support mechanisms. These additional requirements arose primarily from the Research Councils UK Open Access Policy applicable from April 2013, and the new OA policy for Research Excellence Framework eligibility published in March 2014 and applicable from April 2016. Further provision also had to be made for compliance with the UK Charities Open Access Fund, the European Union, other funder policies, and internal reporting requirements. In response, the University of Glasgow has enhanced its OA processes and systems. This case study charts our journey towards managing OA via our EPrints repository. The aim was to consolidate and manage OA information in one central place to increase efficiency of recording, tracking and reporting. We are delighted that considerable time savings and reduction in errors have been achieved by dispensing with spreadsheets to record decisions about OA

Malaysian and Indonesian Learners: They Are Judges of How They Learn English Most Effectively in and Out of Classrooms

The position of English is that of a Second Language in Malaysia and a Foreign Language in Indonesia. But the objective is the same that is to enable the learners to communicate effectively and efficiently in social and professional situations. Learners' beliefs and learners' strategies are also part of the learning processes. Strategies are ways of managing the complex information that the learners are receiving about the target language. This study aims to find out (i) the learners' beliefs on the importance of English (ii) what the learners will do (strategies) to manage their own learning. 100 respondents participated in the study. They responded to open ended questions. The results show that there are similarities and differences in the ways the Malaysian and Indonesian learners perceived the importance of English. They also have similarities and differences in their strategies to manage their own learning to achieve their goals. As a conclusion, even though the two countries adopted different language policy, the learners of English as a Second and Foreign Language have their own enthusiasms and they make judgements about how to learn the language effectively and they have the awareness of what language learning is like

Optimized Time Management for Declarative Workflows

Declarative process models are increasingly used since they fit better with the nature of flexible process-aware information systems and the requirements of the stakeholders involved. When managing business processes, in addition, support for representing time and reasoning about it becomes crucial. Given a declarative process model, users may choose among different ways to execute it, i.e., there exist numerous possible enactment plans, each one presenting specific values for the given objective functions (e.g., overall completion time). This paper suggests a method for generating optimized enactment plans (e.g., plans minimizing overall completion time) from declarative process models with explicit temporal constraints. The latter covers a number of well-known workflow time patterns. The generated plans can be used for different purposes like providing personal schedules to users, facilitating early detection of critical situations, or predicting execution times for process activities. The proposed approach is applied to a range of test models of varying complexity. Although the optimization of process execution is a highly constrained problem, results indicate that our approach produces a satisfactory number of suitable solutions, i.e., solutions optimal in many cases

Seeking the Will of God: The Information Seeking Experiences of the Leaders of Nova Scotia Churches in Transition

Christian Churches in Nova Scotia are facing economic, social, and theological stresses. In response many are engaged in processes of restructuring and renewal. Leaders are initiating and managing these change processes, and they are seeking information to make their decisions, and “God’s will for their churches.” Very little is known about how church leaders seek, gather, evaluate, and use information in their decision-making. In this study I asked the question: “Of the Nova Scotia churches in transition, what are the information seeking experiences of their leaders?” Using ethnographic methods at three church sites, I explored this particular context. I gathered data on church information sources and leaders’ source selections, identifying critical themes such as the impact of new technologies, prayer as a source of information, and the theology of information seeking. I developed a model of church information seeking that can be used as a foundation for further research on information seeking

Emotional tone, analytical thinking, and somatosensory processes of a sample of Italian Tweets during the First Phases of the COVID-19 Pandemic: Observational Study

Background: The COVID-19 pandemic is a traumatic individual and collective chronic experience, with tremendous consequences on mental and psychological health that can also be reflected in people's use of words. Psycholinguistic analysis of tweets from Twitter allows obtaining information about people's emotional expression, analytical thinking, and somatosensory processes, which are particularly important in traumatic events contexts. Objective: We aimed to analyze the influence of official Italian COVID-19 daily data (new cases, deaths, and hospital discharges) and the phase of managing the pandemic on how people expressed emotions and their analytical thinking and somatosensory processes in Italian tweets written during the first phases of the COVID-19 pandemic in Italy. Methods: We retrieved 1,697,490 Italian COVID-19-related tweets written from February 24, 2020 to June 14, 2020 and analyzed them using LIWC2015 to calculate 3 summary psycholinguistic variables: emotional tone, analytical thinking, and somatosensory processes. Official daily data about new COVID-19 cases, deaths, and hospital discharges were retrieved from the Italian Prime Minister's Office and Civil Protection Department GitHub page. We considered 3 phases of managing the COVID-19 pandemic in Italy. We performed 3 general models, 1 for each summary variable as the dependent variable and with daily data and phase of managing the pandemic as independent variables. Results: General linear models to assess differences in daily scores of emotional tone, analytical thinking, and somatosensory processes were significant (F6,104=21.53, P<.001, R2= .55; F5,105=9.20, P<.001, R2= .30; F6,104=6.15, P<.001, R2=.26, respectively). Conclusions: The COVID-19 pandemic affects how people express emotions, analytical thinking, and somatosensory processes in tweets. Our study contributes to the investigation of pandemic psychological consequences through psycholinguistic analysis of social media textual data

Meta-All: a system for managing metabolic pathway information

BACKGROUND: Many attempts are being made to understand biological subjects at a systems level. A major resource for these approaches are biological databases, storing manifold information about DNA, RNA and protein sequences including their functional and structural motifs, molecular markers, mRNA expression levels, metabolite concentrations, protein-protein interactions, phenotypic traits or taxonomic relationships. The use of these databases is often hampered by the fact that they are designed for special application areas and thus lack universality. Databases on metabolic pathways, which provide an increasingly important foundation for many analyses of biochemical processes at a systems level, are no exception from the rule. Data stored in central databases such as KEGG, BRENDA or SABIO-RK is often limited to read-only access. If experimentalists want to store their own data, possibly still under investigation, there are two possibilities. They can either develop their own information system for managing that own data, which is very time-consuming and costly, or they can try to store their data in existing systems, which is often restricted. Hence, an out-of-the-box information system for managing metabolic pathway data is needed. RESULTS: We have designed META-ALL, an information system that allows the management of metabolic pathways, including reaction kinetics, detailed locations, environmental factors and taxonomic information. Data can be stored together with quality tags and in different parallel versions. META-ALL uses Oracle DBMS and Oracle Application Express. We provide the META-ALL information system for download and use. In this paper, we describe the database structure and give information about the tools for submitting and accessing the data. As a first application of META-ALL, we show how the information contained in a detailed kinetic model can be stored and accessed. CONCLUSION: META-ALL is a system for managing information about metabolic pathways. It facilitates the handling of pathway-related data and is designed to help biochemists and molecular biologists in their daily research. It is available on the Web at and can be downloaded free of charge and installed locally