Penyertaan semula dan penawaran tenaga kerja selepas umur persaraan di kalangan ahli akademik menua di universiti awam, Malaysia

The education sector has a growing number of academics who are aging and retiring that could eventually result in a shortage of experienced academics in various areas. On the other hand, the contribution of senior academics who specialize in specific fields is essential for the country to achieve developed nation status. Thus the objectives of this study are to identify areas where academics are in shortage, their readiness to participate after retirement, the number of hours they are willing to contribute, and methods to retain senior academics in critical areas in Public universities (PU). The respondents of this study consist of ageing academics in the age group of 55 to 60. The analysis is done using mixed methods. Qualitative method is utilised to answer the first and fourth objectives through in-depth research interviews using thematic analysis while quantitative method is used to answer the second objective through the probit model and the third objective through the Heckman model. The study found that the areas categorized as critical are medicine, dentistry, pharmacy, engineering, law, architecture, materials measurement, creative industry management, hospitality and veterinary management. Factors influencing the participation of ageing academics include income, gender, age, marital status, race, the last school attended, area of expertise, work experience, health status, academic training and pension. Factors affecting the employment of ageing academics are areas of expertise, health status and medical care. The methods of retaining those experts include government’s maximum retirement age policy, the academics own decision, availability of government funding, mentoring and buddy systems, dean’s decisions and permission to work in the private sector on part-time basis. Future studies could include all PUs especially in identifying critical areas, the involvement of all races, as well as residency factor, whether it might influence the academics participation and the number of hours they wish to offer

An unusual presentation of cirrhotic pleural effusion in a patient with no ascites: a case report

Pleural effusion that develops in a patient with cirrhosis and portal hypertension, in the absence of cardiopulmonary disease, is termed hepatic hydrothorax. Hepatic hydrothorax very rarely presents in the absence of ascites. Although the exact mechanism is somewhat controversial, pleural effusion occurs when ascitic fluid moves through diaphragmatic defects which are opened up by increased intra-abdominal pressure. We report a case report of cirrhotic pleural effusion in a patient with no clinical or radiographic evidence of ascites and discuss the pathogenesis, diagnosis and management of this condition

Use of Subimages in Fish Species Identification: A Qualitative Study

Many scholarly tasks involve working with subdocuments, or contextualized fine-grain information, i.e., with information that is part of some larger unit. A digital library (DL) facil- itates management, access, retrieval, and use of collections of data and metadata through services. However, most DLs do not provide infrastructure or services to support working with subdocuments. Superimposed information (SI) refers to new information that is created to reference subdocu- ments in existing information resources. We combine this idea of SI with traditional DL services, to define and develop a DL with SI (SI-DL). We explored the use of subimages and evaluated the use of a prototype SI-DL (SuperIDR) in fish species identification, a scholarly task that involves work- ing with subimages. The contexts and strategies of working with subimages in SuperIDR suggest new and enhanced sup- port (SI-DL services) for scholarly tasks that involve working with subimages, including new ways of querying and search- ing for subimages and associated information. The main contribution of our work are the insights gained from these findings of use of subimages and of SuperIDR (a prototype SI-DL), which lead to recommendations for the design of digital libraries with superimposed information

Email-Set Visualization: Facilitating Re-Finding in Email Archives

In this paper we describe ESVT – EmailSet Visualization Tool, an email archive tool that provides users a visualization to re-find and discover information in their email archive. ESVT is an end-to-end email archive tool that can be used from archiving a user’s email messages to visualizing queries on the email archive. We address email archiving by allowing import of email messages from an email server or from a standard existing email client. The central idea in ESVT’s visualization, an “email-set”, is the set of emails that are the result of a query on a user’s email archive. ESVT provides a multiple email-set view - visualization of multiple email-sets on a time axis. In addition, each email set can be individually visualized based on person and time axis, using the single email-set view. Query logs, individual email visualization, multiple email set visualization provide rich contextual cues, thus enabling end users to deal with email overload and re-find past email which otherwise wouldn’t be discovered easily

Extending the 5S Framework of Digital Libraries to support Complex Objects, Superimposed Information, and Content-Based Image Retrieval Services

Advanced services in digital libraries (DLs) have been developed and widely used to address the required capabilities of an assortment of systems as DLs expand into diverse application domains. These systems may require support for images (e.g., Content-Based Image Retrieval), Complex (information) Objects, and use of content at fine grain (e.g., Superimposed Information). Due to the lack of consensus on precise theoretical definitions for those services, implementation efforts often involve ad hoc development, leading to duplication and interoperability problems. This article presents a methodology to address those problems by extending a precisely specified minimal digital library (in the 5S framework) with formal definitions of aforementioned services. The theoretical extensions of digital library functionality presented here are reinforced with practical case studies as well as scenarios for the individual and integrative use of services to balance theory and practice. This methodology has implications that other advanced services can be continuously integrated into our current extended framework whenever they are identified. The theoretical definitions and case study we present may impact future development efforts and a wide range of digital library researchers, designers, and developers

STUDY OF HRCT CHEST FINDINGS AND SEVERITY SCORE IN COVID-19 PATIENTS AND ITS CORRELATION WITH CLINICAL AND LABORATORY PARAMETERS

Objectives: High-resolution computed tomography (HRCT) refers to a CT scan that gives a more precise cross-section image of the lungs than a regular chest CT and chest X-ray. HRCT chest uses specific technologies for better image resolution with exquisite lung details ideal for assessment. This modality can be applied in diagnosing and grading severity in coronavirus disease 2019 (COVID-19) infection. HRCT is more sensitive and accurate in diagnosing diffuse lung disease. Since HRCT can detect even small nodules in the lungs, it can detect severe abnormalities at an early stage of the infection and help to plan appropriate treatment. The aim of the study was to study HRCT chest findings in patients with COVID-19 infection and correlation with clinical and laboratory parameters.   Methods: This was a prospective and retrospective observational study done for duration of 1 year, that is, from June 2020 to May 2021 in the Department of Radio-diagnosis at Shri Sathya Sai Medical College and Research Institute, Tiruporur-Guduvancherry, Main Road, Ammapettai, Nellikuppam, Kancheepuram district on 235 COVID-19 positive patients. Results: The typical findings were ground glass opacity + reticular pattern (GGO +crazy paving) noted 50.2% moderate cases and 13.2% severe cases. The mild group (CT-SS of 1–8) consisted of 56 patients (23.83%), moderate group (CT-SS of 9–12) consisted of 143 (60.85%) patients where as severe group (CT-SS of >13) was composed of 36 (15.32%). Conclusion: HRCT chest plays an important role in early identification of the COVID-19 infection. HRCT severity score helps to the patients in guiding the treatment and monitor disease progression

Turnover intention among manufacturing industry employees in Malaysia: an analysis using structural equation modeling (SEM)

This research paper explores the turnover intention among manufacturing industry employees in Malaysia. Four variables were studied: role overload, role ambiguity, role conflict, and work-family conflict. The survey results collected from 153 employees from manufacturing companies in Malaysia. The analysis been obtained via SEM-PLS. Total four hyphotheses were tested. Positive results obtained for role overloaded towards turnover intention. Negative results obtained for role ambiguity, role conflict, and work-family conflict. Based on the findings all the manufacturing recognize importance of staff retention for superior value for an organization