218 research outputs found
Enhancing Research, Curriculum Development and Alumni Contributions in Selected Institutions of Higher Technical Education: Development of a Framework with Knowledge Management
No full textIn this globalized network society, there is a paradigm shift in education from teacher centric education to learner centric education. It is very important for organizations to “know what they know” and make maximum use of their knowledge. There are hidden, untapped reservoirs of intelligence that exist in almost every organization. There is a difference in ranking in two universities with identical numbers of faculty, degree programs, expenditures, and enrollment. This difference as Milam (2001) suggests is often intangible value added by effective Knowledge Management (KM). The educational institutions can adhere to business organisations and pursue the implementation of KM for having an edge and serving the stakeholders in a better way. The present study endeavors to develop a knowledge management framework for enhancing Research, Curriculum development and Alumni contributions in the selected Institutions of Higher Technical Education (IHTE) in India. Being the power house of knowledge in our society, IHTE have immense knowledge and research plays an important role. The accurate and up to date knowledge about earlier and ongoing research and other administrative related information can be acquired and stored systematically with the implementation of KM in IHTE.
One of the main aims of any institution of Higher Technical Education (IHTE) is to impart knowledge to the students in the most effective way, meet the needs of the students more efficiently and improve educational outcomes for the students. To remain ahead of competition, even well-established IHTE have to respond to the challenge by offering learners a dynamic and industry oriented curriculum. To achieve this objective, there is a need to facilitate academia with knowledge management (KM) based platform which can help them design innovative, industry oriented, and state-of-art curriculum.
Alumni play an important role for all educational institutions. Their experience can be exploited by having their suggestions and feedback regarding Research, Curriculum Development, career development and placement services. Their valuable feedback needs to be acquired, stored and retrieved efficiently using KM.
As Research, Curriculum Development and Alumni contributions are the three important aspects of any educational institution, the current study has been undertaken to design a KM framework based on these three aspects. The objectives of the present study are:
• To understand and explore the application of KM in Research, Curriculum Development and Alumni Contributions in IHTE.
• To identify and establish the possible linkages amongst Research, Curriculum Development and Alumni Contributions.
• To propose a framework for implementing KM in Higher Educational Institutions to reap the benefits of KM in the above mentioned areas.
The present study uses a survey method to collect data on these three aspects viz. Research, Curriculum Development and Alumni Contributions from IHTE. The designations of the targeted respondents in the IHTE were categorized into two groups. The first group consists of management, senior academia that is, Professors, Associate Professors who are also dealing with managerial work and also “thinkers” are addressed as group A. The second group consists of Assistant Professors, Lecturers and Research Scholars who will be using and also contributing to the KM system and also the “doers”, are addressed as group B.
The survey instrument investigates the features which are obtained from the literature and personal observations or interviews for the inclusion in the knowledge management framework for the institutions of higher technical educational (IHTE). The study also tries to identify the perceived benefits of KM implementation in higher technical education if proposed KM framework is put into practice.
The particular stakeholder analysis helped to analyses the features to be included in KM framework. The designed KM framework covers KM enablers, KM processes, KM aspects of IHTE and perceived benefits of KM. The suggested framework will help in improving the quality of Research and Curriculum Development and will also help to incorporate Alumni feedback. Thus the competitiveness of IHTE can be enhanced by adopting the suggested framework.
Keywords: Institutions of Higher Technical Education, Knowledge Management, Research, Curriculum Development, Alumni Contribution
Cysticercal encephalitis with disseminated cutaneous cysticercosis: A case report
No full textCysticercal encephalitis is a severe and frequently fatal neurological disorder seen in endemic regions. We report a young male who presented with refractory status epilepticus along with numerous subcutaneous swellings over the body. His neuroimaging revealed the classic “starry sky” appearance, suggesting a diagnosis of cysticercal encephalitis along with disseminated cutaneous cysticercosis. He was managed with supportive care, antiepileptics and steroids. In endemic regions, neurocysticercosis should be considered as a differential diagnosis in children presenting as acute encephalitis syndrome. A careful physical examination along with early neuroimaging will help in establishing the diagnosis promptly
Towards Understanding Neuropathy from Cancer Chemotherapy and Pathophysiology of Pain Sensation: an Engineering Approach
No full textThis thesis addresses chemotherapy-induced peripheral neuropathy (CIPN)- a form of pain sensation and a prevalent dose-limiting side-effect of several chemotherapy agents such as vincristine, paclitaxel, and oxaliplatin. These agents are used for treating various cancers such as leukemia, brain tumor, lung cancer. Peripheral neuropathy is a numbing, tingling, and burning sensation felt in the palms and feet, which occurs due to damage to neurons (nerve cells). Prolonged CIPN can impact the quality of life of cancer patients. Occasionally, severe CIPN can result in termination of chemotherapy treatment altogether. Currently, there are no established strategies for treating CIPN due to a lack of understanding of its mechanisms. Moreover, different patients react differently to the same treatment; a subgroup of patient population may never experience CIPN, while another may experience severe CIPN for the same dose. In addition, there are no established strategies for predicting CIPN either. This thesis addresses both prediction and mechanisms of CIPN.The following paragraphs reflect the organization of this thesis. Each paragraph introduces a research problem, the approaches taken to investigate it, and states the key results.First, a metabolomics-based approach was used to investigate CIPN prediction. Blood samples of pediatric leukemic cancer patients who underwent treatment with a chemotherapy agent - vincristine were provided. These blood samples were analyzed at different treatment time points using mass spectrometry to obtain the metabolite profiles. Machine learning was then employed to identify specific metabolites that can predict overall susceptibility to peripheral neuropathy in those patients at specific treatment time points. Subsequently, selected metabolites were used to train machine learning models to predict neuropathy susceptibility. Finally, the models were deployed into an open-source interactive tool- VIPNp- that can be used by researchers to predict CIPN in new pediatric leukemic cancer patients.Second, the focus was shifted to the pathophysiology of pain and the pain-sensing neuron; specifically: (i) investigating pain sensation mutations and the dynamics of the pain-sensing neuron, and (ii) exploring chemotherapy-induced peripheral neuropathy mechanismsWhile pain is a common experience, genetic mutations in individuals can alter their experience of pain, if any at all (certain mutations yield individuals insensitive to pain). Despite its ubiquity, we do not have a complete understanding of the onset and/or mechanisms of pain sensation. Pain sensation can be broadly classified into three types: (i) nociceptive, (ii) neuropathic, and (iii) inflammatory. Nociceptive pain arises due to a noxious external stimulus (e.g., upon touching a hot object). Neuropathic pain (which is felt as a side-effect of the aforementioned chemotherapy agents) is the numbing and tingling sensation due to nerve damage. Inflammatory pain occurs due to damage to internal tissues. Pain in any form can be characterized in terms of electrical signaling by the pain-sensing neuron. Signal transmission regarding pain occurs through generation of an electrical signal called the action potential- a peak in neuron membrane potential. Excessive firing of action potentials by a pain-sensing neuron indicates pain of a specific form and intensity. In order to investigate this electrical signaling, a mathematical modeling approach was employed. The neuron membrane was assumed to be an electrical circuit and the potential across the membrane was modeled in terms of the sodium and potassium ions flowing across it via voltage-gated sodium and potassium channels, respectively
Electrochemical Biosensors Based on Bimetallic and Trimetallic Nanomaterials: Synthesis, Properties and Applications
No full textOver the past few years, there has been significant progress in electrochemical biosensors, mainly due to the growing demand for quick and highly sensitive detection techniques across various sectors, including medical diagnostics and environmental analysis. This review critically evaluates the recent advancements in bimetallic and trimetallic nanomaterials used in electrochemical biosensing, highlighting their synthesis strategies, functional properties, and biomedical applications. The novelty of this review lies in its structured classification of biosensor systems based on synthesis routes, application fields and electrochemical techniques. Furthermore, this work identifies and discusses existing research gaps, including limited clinical validation, poor reporting standardization, insufficient biocompatibility data, industrial adoption and cost-effectiveness. The review addresses the present challenges, Life Cycle Assessment, biocompatibility and toxicity of glucose biosensors in therapeutics, along with the limitations and future potential of bimetallic and trimetallic biosensors concerning their stability, reproducibility, toxicity, industrial adoption, circular economy and environmental impact. It also discusses other innovative systems and the challenges of scaling and commercializing them.
DOI: https://doi.org/10.52783/jchr.v15.i5.1053
Electronic structures and optical characteristics of fluorescent pyrazinoquinoxaline assemblies and Au interfaces
No full text© 2021, The Author(s).Understanding the excitonic processes at the interfaces of fluorescent π-conjugated molecules and metal electrodes is important for both fundamental studies and emerging applications. Adsorption configurations of molecules on metal surfaces significantly affect the physical characteristics of junctions as well as molecules. Here, the electronic structures and optical properties of molecular assemblies/Au interfaces were investigated using scanning probe and photoluminescence microscopy techniques. Scanning tunneling microscopy images and tunneling conductance spectra suggested that the self-assembled molecules were physisorbed on the Au surface. Visible-range photoluminescence studies showed that Au thin films modified the emission spectra and reduced the lifetime of excitons. Surface potential maps, obtained by Kelvin probe force microscopy, could visualize electron transfer from the molecules to Au under illumination, which could explain the decreased lifetime of excitons at the molecule/Au interface.11Nsciescopu
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