LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 7 of total 7

Search options

  1. Article ; Online: Pyridoxine

    Abbas Hassan / Arun Kumar Dubey / Malpe Surekha Bhat

    Journal of Clinical and Diagnostic Research, Vol 13, Iss 5, Pp BE01-BE

    The ‘Ba.Six’ of use in Nausea and Vomiting of Pregnancy

    2019  Volume 06

    Abstract: Over the centuries, the dietary and biochemical essentiality of pyridoxine in the humans has been well established. Apart from various physiological functions, pyridoxine is therapeutically important in Nausea and Vomiting of Pregnancy (NVP). Pyridoxine ... ...

    Abstract Over the centuries, the dietary and biochemical essentiality of pyridoxine in the humans has been well established. Apart from various physiological functions, pyridoxine is therapeutically important in Nausea and Vomiting of Pregnancy (NVP). Pyridoxine on its own or a combination of pyridoxine (vitamin B6) (pregnancy category A) and doxylamine (category B), previously available as Bendectin, is the only medication that is specifically labeled for the treatment of NVP by the Food and Drug Administration. Although various reports claims the efficacy of pyridoxine in NVP, there are a very few studies on its mechanism of action in relieving the symptoms. Therefore, the present review was aimed at revisiting relevant previous data and providing the necessary background to discuss the chemistry, pharmacochemistry, status in pregnancy and mechanism/s of action in NVP of this B-complex vitamin in detail.
    Keywords deficiency ; fetal uptake ; hyperemesis gravidarum ; supplementation ; vitamin b6 ; Medicine ; R
    Language English
    Publishing date 2019-05-01T00:00:00Z
    Publisher JCDR Research and Publications Private Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Article ; Online: A holistic approach to Henry Peach Robinson’s ‘Fading Away’ for a medical humanities class

    Manpreet Lota / Shraya Divaker / Arun Kumar Dubey / Malpe Surekha Bhat

    Research and Humanities in Medical Education, Vol 7, Pp 8-

    2020  Volume 14

    Abstract: Henry Peach Robinson’s “Fading away” can be interpreted either through a reductionist approach or a holistic approach. He perfected this fictional photograph through five negatives to create an anecdote and change attitudes towards tuberculosis. While ... ...

    Abstract Henry Peach Robinson’s “Fading away” can be interpreted either through a reductionist approach or a holistic approach. He perfected this fictional photograph through five negatives to create an anecdote and change attitudes towards tuberculosis. While there are many interpretations of this piece of art from a reductionistic approach – literary, artistic, humanistic, or illness-narrative – there are hardly any from a holistic perspective integrating all these angles. When used during a medical humanities course, the photograph provoked students to think beyond the purely artistic and the purely medical aspects of disease. Some of the messages that medical students took home were: ‘grief could be experienced by anyone’; ‘love expands into diverse manifestations during times of sadness’; ‘we must empathize with others and what they go through’. This paper reports on our attempt to adopt a holistic approach to analyze the photograph from Robinson’s perspective and with respect to modern medicine.
    Keywords empathy ; fading away ; illness narrative ; holistic approach ; henry peach robinson ; medical humanities ; Medicine (General) ; R5-920 ; Medical philosophy. Medical ethics ; R723-726
    Subject code 700
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher University College of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article ; Online: Spatial and temporal variation of the ambient noise environment of the Sikkim Himalaya

    Mita Uthaman / Chandrani Singh / Arun Singh / Niptika Jana / Arun Kumar Dubey / Sukanta Sarkar / Ashwani Kant Tiwari

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Volume 13

    Abstract: Abstract Ambient noise characteristics are perused to assess the station performance of 27 newly constructed broadband seismic stations across Sikkim Himalaya and adjoining Himalayan foreland basin, installed to study the seismogenesis and subsurface ... ...

    Abstract Abstract Ambient noise characteristics are perused to assess the station performance of 27 newly constructed broadband seismic stations across Sikkim Himalaya and adjoining Himalayan foreland basin, installed to study the seismogenesis and subsurface structure of the region. Power spectral densities obtained at each station, compared against the global noise limits, reveal that observed vertical component noise levels are within the defined global limits. However, the horizontal components marginally overshoot the limits due to the tilt effect. Ambient noise conditions significantly vary with different installation techniques, analysis revealing that seismic sensors buried directly in the ground have reduced long-period noise in comparison to pier installations. Tectonic settings and anthropogenic activities are also noted to cause a significant rise across short-period and microseism noise spectrum, varying spatially and temporally across the region. Day-time records higher cultural noise than night-time, while the microseism noise dominates during the monsoonal season. An assessment of the effect of the nationwide lockdown imposed due to COVID-19 pandemic revealed a significant decrease in the short-period noise levels at stations installed across the foreland basin marked with higher anthropogenic activity. Our study summarizes the overall ambient noise patterns, validating the stability and performance of the seismic stations across the Sikkim Himalayas.
    Keywords Medicine ; R ; Science ; Q
    Subject code 551
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article ; Online: Comparing Standard Setting Methods for Objective Structured Clinical Examinations in a Caribbean Medical School

    Neelam Rekha Dwivedi / Narasimha Prasad Vijayashankar / Manisha Hansda / Arun Kumar Dubey / Fidelis Nwachukwu / Vernon Curran / Joseph Jillwin

    Journal of Medical Education and Curricular Development, Vol

    2020  Volume 7

    Abstract: Background: OSCE are widely used for assessing clinical skills training in medical schools. Use of traditional pass fail cut off yields wide variations in the results of different cohorts of students. This has led to a growing emphasis on the application ...

    Abstract Background: OSCE are widely used for assessing clinical skills training in medical schools. Use of traditional pass fail cut off yields wide variations in the results of different cohorts of students. This has led to a growing emphasis on the application of standard setting procedures in OSCEs. Purpose/aim: The purpose of the study was comparing the utility, feasibility and appropriateness of 4 different standard setting methods with OSCEs at XUSOM. Methods: A 15-station OSCE was administered to 173 students over 6 months. Five stations were conducted for each organ system (Respiratory, Gastrointestinal and Cardiovascular). Students were assessed for their clinical skills in 15 stations. Four different standard setting methods were applied and compared with a control (Traditional method) to establish cut off scores for pass/fail decisions. Results: OSCE checklist scores revealed a Cronbach’s alpha of 0.711, demonstrating acceptable level of internal consistency. About 13 of 15 OSCE stations performed well with “Alpha if deleted values” lower that 0.711 emphasizing the reliability of OSCE stations. The traditional standard setting method (cut off score of 70) resulted in highest failure rate. The Modified Angoff Method and Relative methods yielded the lowest failure rates, which were typically less than 10% for each system. Failure rates for the Borderline methods ranged from 28% to 57% across systems. Conclusions: In our study, Modified Angoff method and Borderline regression method have shown to be consistently reliable and practically suitable to provide acceptable cut-off score across different organ system. Therefore, an average of Modified Angoff Method and Borderline Regression Method appeared to provide an acceptable cutoff score in OSCE. Further studies, in high-stake clinical examinations, utilizing larger number of judges and OSCE stations are recommended to reinforce the validity of combining multiple methods for standard setting.
    Keywords Special aspects of education ; LC8-6691 ; Medicine (General) ; R5-920
    Subject code 310
    Language English
    Publishing date 2020-12-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article ; Online: DermAI 1.0

    Prabhav Sanga / Jaskaran Singh / Arun Kumar Dubey / Narendra N. Khanna / John R. Laird / Gavino Faa / Inder M. Singh / Georgios Tsoulfas / Mannudeep K. Kalra / Jagjit S. Teji / Mustafa Al-Maini / Vijay Rathore / Vikas Agarwal / Puneet Ahluwalia / Mostafa M. Fouda / Luca Saba / Jasjit S. Suri

    Diagnostics, Vol 13, Iss 3159, p

    A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images

    2023  Volume 3159

    Abstract: Skin lesion classification plays a crucial role in dermatology, aiding in the early detection, diagnosis, and management of life-threatening malignant lesions. However, standalone transfer learning (TL) models failed to deliver optimal performance. In ... ...

    Abstract Skin lesion classification plays a crucial role in dermatology, aiding in the early detection, diagnosis, and management of life-threatening malignant lesions. However, standalone transfer learning (TL) models failed to deliver optimal performance. In this study, we present an attention-enabled ensemble-based deep learning technique, a powerful, novel, and generalized method for extracting features for the classification of skin lesions. This technique holds significant promise in enhancing diagnostic accuracy by using seven pre-trained TL models for classification. Six ensemble-based DL (EBDL) models were created using stacking, softmax voting, and weighted average techniques. Furthermore, we investigated the attention mechanism as an effective paradigm and created seven attention-enabled transfer learning (aeTL) models before branching out to construct three attention-enabled ensemble-based DL (aeEBDL) models to create a reliable, adaptive, and generalized paradigm. The mean accuracy of the TL models is 95.30%, and the use of an ensemble-based paradigm increased it by 4.22%, to 99.52%. The aeTL models’ performance was superior to the TL models in accuracy by 3.01%, and aeEBDL models outperformed aeTL models by 1.29%. Statistical tests show significant p-value and Kappa coefficient along with a 99.6% reliability index for the aeEBDL models. The approach is highly effective and generalized for the classification of skin lesions.
    Keywords skin lesions ; attention ; ensemble-based deep learning ; reliability ; validation ; Medicine (General) ; R5-920
    Subject code 006
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Article ; Online: Henry Peach Robinson’s “Fading Away”

    Tyson Tetoff, Mr. / Gabriel Andrade, Dr / Arun Kumar Dubey, Prof Dr / Malpe Surekha Bhat, Prof Dr

    Research and Humanities in Medical Education, Vol 5, Pp 44-

    a learning resource for narrative of illness

    2018  Volume 49

    Abstract: Fading Away”, the combination photograph by Henry Peach Robinson, has been critically reviewed by many authors in the past. This article attempts to interpret it using an imaginative process. The objective is to examine how Fading Away can be used as a ... ...

    Abstract “Fading Away”, the combination photograph by Henry Peach Robinson, has been critically reviewed by many authors in the past. This article attempts to interpret it using an imaginative process. The objective is to examine how Fading Away can be used as a learning resource for a ‘Narrative of illness’ session in a medical humanities class in undergraduate medical education. The authors demonstrate that the combination photograph could be used to explain how the coping concept is different for a dying patient. Depressive cognition, or in other words - coping in isolation - could lead to a strategy of visual rumination that can influence the dying patient to adopt a self-reflective style in dealing with death. It could be argued that this reasoning neatly corresponds with Kubler-Ross’s well-known model of the five stages of grief that most patients go through upon facing death - denial, anger, bargaining, depression and acceptance. It explains how dying patients can adopt a strategy and style of temporal travel of mind to relive the past and ‘prelive’ the future that they will never get to see.
    Keywords Art history ; Bereavement ; End of life ; Kubler-Ross ; Narrative medicine ; Medical humanities ; Medicine in the arts ; Medicine (General) ; R5-920 ; Medical philosophy. Medical ethics ; R723-726
    Subject code 700
    Language English
    Publishing date 2018-09-01T00:00:00Z
    Publisher University College of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article ; Online: Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation

    Arun Kumar Dubey / Gian Luca Chabert / Alessandro Carriero / Alessio Pasche / Pietro S. C. Danna / Sushant Agarwal / Lopamudra Mohanty / Nillmani / Neeraj Sharma / Sarita Yadav / Achin Jain / Ashish Kumar / Mannudeep K. Kalra / David W. Sobel / John R. Laird / Inder M. Singh / Narpinder Singh / George Tsoulfas / Mostafa M. Fouda /
    Azra Alizad / George D. Kitas / Narendra N. Khanna / Klaudija Viskovic / Melita Kukuljan / Mustafa Al-Maini / Ayman El-Baz / Luca Saba / Jasjit S. Suri

    Diagnostics, Vol 13, Iss 1954, p

    A Data Augmentation and Balancing Framework

    2023  Volume 1954

    Abstract: Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo ... ...

    Abstract Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo generalization and are typically overfitted. Such trained AI systems are not practical for clinical settings and therefore do not give accurate results when executed on unseen data sets. We hypothesize that ensemble deep learning (EDL) is superior to deep transfer learning (TL) in both non-augmented and augmented frameworks. Methodology: The system consists of a cascade of quality control, ResNet–UNet-based hybrid deep learning for lung segmentation, and seven models using TL-based classification followed by five types of EDL’s. To prove our hypothesis, five different kinds of data combinations (DC) were designed using a combination of two multicenter cohorts—Croatia (80 COVID) and Italy (72 COVID and 30 controls)—leading to 12,000 CT slices. As part of generalization, the system was tested on unseen data and statistically tested for reliability/stability. Results: Using the K5 (80:20) cross-validation protocol on the balanced and augmented dataset, the five DC datasets improved TL mean accuracy by 3.32%, 6.56%, 12.96%, 47.1%, and 2.78%, respectively. The five EDL systems showed improvements in accuracy of 2.12%, 5.78%, 6.72%, 32.05%, and 2.40%, thus validating our hypothesis. All statistical tests proved positive for reliability and stability. Conclusion: EDL showed superior performance to TL systems for both (a) unbalanced and unaugmented and (b) balanced and augmented datasets for both (i) seen and (ii) unseen paradigms, validating both our hypotheses.
    Keywords COVID ; control ; ResNet–UNet ; transfer learning ; ensemble deep learning ; unseen ; Medicine (General) ; R5-920
    Subject code 006
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top