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Article ; Online: Diagnostic insights from chemometric analysis of hemogram inflammatory indexes in male smokers with and without asthma or chronic obstructive pulmonary disease.

Singh, Brajesh / Dutta, Vijay / Singh, Smiti / Pundit, Priyanka

International journal of laboratory hematology

2024

Abstract: Background: Diagnosis of asthma and chronic obstructive pulmonary disease (COPD) becomes difficult in a primary healthcare center due to ambiguous interpretation of spirometry and lack of facility to access established biomarkers. While routine ... ...

Abstract	Background: Diagnosis of asthma and chronic obstructive pulmonary disease (COPD) becomes difficult in a primary healthcare center due to ambiguous interpretation of spirometry and lack of facility to access established biomarkers. While routine hematological indices are easily available and accessible. The study aimed to evaluate the role of different hemogram indexes in males in COPD, asthma, and healthy smokers. Materials and methods: Lung function tests and complete blood count (CBC) were done for 50 male subjects each from asthma, COPD, and healthy smokers. Multivariate analysis (MVA) was performed on blood indices data set. Receiver operating characteristic (ROC) curve was plotted to observe the performance of indexes. Pearson correlation was used to establish association between the lung function and blood indices. Results: Most of the indices were elevated in COPD. Whereas, asthma patients showed a significant increase in eosinophil basophil ratio (EBR), lymphocyte-monocyte ratio (LMR), and mean platelet volume-platelet count ratio (MPR). Orthogonal (O)- Partial Least-Squares Discriminant Analysis (PLSDA) and variable importance in projection (VIP) score established EBR, neutrophil-lymphocyte ratio (NLR) and LMR, as discriminants for asthma. Whereas, Systemic Inflammatory Response Index (SIRI), NLR and EBR were the key variables for COPD. NLR (r = -0.73, p < 0.001) and SIRI (r = -0.71, p < 0.001) were found to be negatively correlated with forced expiratory volume in 1 s (FEV1) percentage of the predicted value (%pred) in asthma and COPD, respectively. EBR showed the sensitivity and specificity of 96% and 86% respectively in asthma. NLR was having sensitivity of 82% and 90% specificity in COPD. Conclusion: Our study in males shows routine hematological indices as being cost-effective, feasible, and seem to have tremendous potential as screening markers among chronic respiratory diseases in a primary healthcare center.
Language	English
Publishing date	2024-03-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2268590-X
ISSN	1751-553X ; 1751-5521 ; 0141-9854
ISSN (online)	1751-553X
ISSN	1751-5521 ; 0141-9854
DOI	10.1111/ijlh.14264
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Article ; Online: Anthropogenic disturbances influence mineral and elemental constituents of freshwater lake sediments.

Dubey, Divya / Kumar, Saroj / Dutta, Venkatesh

Environmental monitoring and assessment

2023 Volume 195, Issue 12, Page(s) 1459

Abstract: Lake sediments can provide valuable insights into anthropogenic disturbances such as intensive aquaculture and land use changes. These disturbances often manifest as elevated levels of nutrients and elements within the sediments. This paper uses several ... ...

Abstract	Lake sediments can provide valuable insights into anthropogenic disturbances such as intensive aquaculture and land use changes. These disturbances often manifest as elevated levels of nutrients and elements within the sediments. This paper uses several analytical techniques, i.e., FTIR (Fourier-transform infrared spectroscopy), XRD (X-ray diffraction), EDS (energy-dispersive X-ray spectroscopy), and SEM (scanning electron microscopy), to examine the elemental constituents of lake sediments, along with their relative mineral abundances and surface morphology. The selected freshwater lakes are from the Central Gangetic Plain. The analysis provides a "fingerprint" of geogenic and biogenic mineral constituents of the sediments. Physicochemical, mineralogical, and elemental analysis shows that intensive aquaculture activities in lake alter the sediment chemistry as evidenced by the increase in pH, organic carbon, organic matter, and total phosphorus which is not observed in the lake where aquaculture is prohibited. Freshwater lake sediment is characterized by a high content of biogenic silica and carbonate minerals. The variations in sediment nutrients and mineral fluxes of the selected lakes are mainly attributed to diverse anthropogenic pressures, differences in lake productivity, and the overall ecological condition of the lakes. In the selected three lakes, major variation was reported in the autochthonous sediments in comparison to the allochthonous sediments. The study concludes that catchment and biotic deposit variations in the lakes cannot be evened out by in-lake mixing mechanisms due to variations in the terrigenous and pelagic deposits of the lake. The results highlight the importance of studying annual fluctuations and spatial variations in geogenic and biogenic mineral particle fluxes in lakes. Such investigations provide valuable insights into the annual dynamics of minerals within lakes, contributing to a more comprehensive understanding of their behavior and distribution.
MeSH term(s)	Lakes/chemistry ; Anthropogenic Effects ; Environmental Monitoring/methods ; Phosphorus/analysis ; Minerals/analysis ; Geologic Sediments/chemistry ; China
Chemical Substances	Phosphorus (27YLU75U4W) ; Minerals
Language	English
Publishing date	2023-11-11
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	782621-7
ISSN	1573-2959 ; 0167-6369
ISSN (online)	1573-2959
ISSN	0167-6369
DOI	10.1007/s10661-023-12063-2
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Article ; Online: Phase unwrapping using deep learning in holographic tomography.

Gontarz, Michał / Dutta, Vibekananda / Kujawińska, Małgorzata / Krauze, Wojciech

Optics express

2023 Volume 31, Issue 12, Page(s) 18964–18992

Abstract: Holographic tomography (HT) is a measurement technique that generates phase images, often containing high noise levels and irregularities. Due to the nature of phase retrieval algorithms within the HT data processing, the phase has to be unwrapped before ...

Abstract	Holographic tomography (HT) is a measurement technique that generates phase images, often containing high noise levels and irregularities. Due to the nature of phase retrieval algorithms within the HT data processing, the phase has to be unwrapped before tomographic reconstruction. Conventional algorithms lack noise robustness, reliability, speed, and possible automation. In order to address these problems, this work proposes a convolutional neural network based pipeline consisting of two steps: denoising and unwrapping. Both steps are carried out under the umbrella of a U-Net architecture; however, unwrapping is aided by introducing Attention Gates (AG) and Residual Blocks (RB) to the architecture. Through the experiments, the proposed pipeline makes possible the phase unwrapping of highly irregular, noisy, and complex experimental phase images captured in HT. This work proposes phase unwrapping carried out by segmentation with a U-Net network, that is aided by a pre-processing denoising step. It also discusses the implementation of the AGs and RBs in an ablation study. What is more, this is the first deep learning based solution that is trained solely on real images acquired with HT.
Language	English
Publishing date	2023-06-28
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.486984
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Article: Prescriptive analytics applications in sustainable operations research: conceptual framework and future research challenges.

Bhatt Mishra, Deepa / Naqvi, Sameen / Gunasekaran, Angappa / Dutta, Vartika

Annals of operations research

2023 , Page(s) 1–40

Abstract: In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of interest for both academicians and practitioners. As prescriptive analytics has transitioned from its inception to an emerging topic, there is a need to review ... ...

Abstract	In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of interest for both academicians and practitioners. As prescriptive analytics has transitioned from its inception to an emerging topic, there is a need to review existing literature in order to ascertain development in this area. There are a very few reviews in the related field but not specifically on the applications of prescriptive analytics in sustainable operations research using content analysis. To address this gap, we performed a review of 147 articles published in peer-reviewed academic journals from 2010 to August 2021. Using content analysis, we have identified the five emerging research themes. Through this study, we aim to contribute to the literature on prescriptive analytics by identifying and proposing emerging research themes and future research directions. Based on our literature review, we propose a conceptual framework for studying the impacts of the adoption of prescriptive analytics and its impact on sustainable supply chain resilience, sustainable supply chain performance and competitive advantage. Finally, the paper acknowledges the managerial implications, theoretical contribution and the limitations of this study.
Language	English
Publishing date	2023-03-01
Publishing country	United States
Document type	Journal Article
ISSN	0254-5330
ISSN	0254-5330
DOI	10.1007/s10479-023-05251-3
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Article ; Online: A Transformer-Based Model for Super-Resolution of Anime Image.

Xu, Shizhuo / Dutta, Vibekananda / He, Xin / Matsumaru, Takafumi

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 21

Abstract: Image super-resolution (ISR) technology aims to enhance resolution and improve image quality. It is widely applied to various real-world applications related to image processing, especially in medical images, while relatively little appliedto anime image ...

Abstract	Image super-resolution (ISR) technology aims to enhance resolution and improve image quality. It is widely applied to various real-world applications related to image processing, especially in medical images, while relatively little appliedto anime image production. Furthermore, contemporary ISR tools are often based on convolutional neural networks (CNNs), while few methods attempt to use transformers that perform well in other advanced vision tasks. We propose a so-called anime image super-resolution (AISR) method based on the Swin Transformer in this work. The work was carried out in several stages. First, a shallow feature extraction approach was employed to facilitate the features map of the input image's low-frequency information, which mainly approximates the distribution of detailed information in a spatial structure (shallow feature). Next, we applied deep feature extraction to extract the image semantic information (deep feature). Finally, the image reconstruction method combines shallow and deep features to upsample the feature size and performs sub-pixel convolution to obtain many feature map channels. The novelty of the proposal is the enhancement of the low-frequency information using a Gaussian filter and the introduction of different window sizes to replace the patch merging operations in the Swin Transformer. A high-quality anime dataset was constructed to curb the effects of the model robustness on the online regime. We trained our model on this dataset and tested the model quality. We implement anime image super-resolution tasks at different magnifications (2×, 4×, 8×). The results were compared numerically and graphically with those delivered by conventional convolutional neural network-based and transformer-based methods. We demonstrate the experiments numerically using standard peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), respectively. The series of experiments and ablation study showcase that our proposal outperforms others.
MeSH term(s)	Magnetic Resonance Imaging/methods ; Image Processing, Computer-Assisted/methods ; Signal-To-Noise Ratio ; Neural Networks, Computer ; Electric Power Supplies
Language	English
Publishing date	2022-10-24
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22218126
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Article ; Online: Uncomfortable bedfellows: Whole brain radiation therapy and neurocognition in animal and human studies.

Dutta, Varsha

Journal of cancer research and therapeutics

2015 Volume 11, Issue 4, Page(s) 679–683

MeSH term(s)	Animals ; Brain Neoplasms/radiotherapy ; Cognition Disorders/etiology ; Cranial Irradiation/adverse effects ; Humans
Language	English
Publishing date	2015-10
Publishing country	India
Document type	Editorial
ZDB-ID	2187633-2
ISSN	1998-4138 ; 0973-1482
ISSN (online)	1998-4138
ISSN	0973-1482
DOI	10.4103/0973-1482.176091
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Article ; Online: The phantom breast after mastectomy, the homunculus and the hole in the cortical map.

Dutta, Varsha

Journal of cancer research and therapeutics

2015 Volume 11, Issue 1, Page(s) 3–5

MeSH term(s)	Animals ; Breast/surgery ; Female ; Humans ; Mastectomy ; Somatosensory Cortex/physiology
Language	English
Publishing date	2015-01
Publishing country	India
Document type	Editorial
ZDB-ID	2187633-2
ISSN	1998-4138 ; 0973-1482
ISSN (online)	1998-4138
ISSN	0973-1482
DOI	10.4103/0973-1482.155090
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Article ; Online: Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network.

Li, Shengyin / Dutta, Vibekananda / He, Xin / Matsumaru, Takafumi

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 20

Abstract: Recently, the dangers associated with face generation technology have been attracting much attention in image processing and forensic science. The current face anti-spoofing methods based on Generative Adversarial Networks (GANs) suffer from defects such ...

Abstract	Recently, the dangers associated with face generation technology have been attracting much attention in image processing and forensic science. The current face anti-spoofing methods based on Generative Adversarial Networks (GANs) suffer from defects such as overfitting and generalization problems. This paper proposes a new generation method using a one-class classification model to judge the authenticity of facial images for the purpose of realizing a method to generate a model that is as compatible as possible with other datasets and new data, rather than strongly depending on the dataset used for training. The method proposed in this paper has the following features: (a) we adopted various filter enhancement methods as basic pseudo-image generation methods for data enhancement; (b) an improved Multi-Channel Convolutional Neural Network (MCCNN) was adopted as the main network, making it possible to accept multiple preprocessed data individually, obtain feature maps, and extract attention maps; (c) as a first ingenuity in training the main network, we augmented the data using weakly supervised learning methods to add attention cropping and dropping to the data; (d) as a second ingenuity in training the main network, we trained it in two steps. In the first step, we used a binary classification loss function to ensure that known fake facial features generated by known GAN networks were filtered out. In the second step, we used a one-class classification loss function to deal with the various types of GAN networks or unknown fake face generation methods. We compared our proposed method with four recent methods. Our experiments demonstrate that the proposed method improves cross-domain detection efficiency while maintaining source-domain accuracy. These studies show one possible direction for improving the correct answer rate in judging facial image authenticity, thereby making a great contribution both academically and practically.
MeSH term(s)	Deep Learning ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods
Language	English
Publishing date	2022-10-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22207767
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Article: A Study of Erosion-Corrosion Behaviour of Friction Stir-Processed Chromium-Reinforced NiAl Bronze Composite.

Dutta, Varun / Thakur, Lalit / Singh, Balbir / Vasudev, Hitesh

Materials (Basel, Switzerland)

2022 Volume 15, Issue 15

Abstract: Corrosion is frequently viewed as a catastrophic and unavoidable disaster in marine applications. Every year, a huge cost is incurred on the maintenance and repair of corrosion-affected equipment and machinery. In the marine environment, as-cast nickel- ... ...

Abstract	Corrosion is frequently viewed as a catastrophic and unavoidable disaster in marine applications. Every year, a huge cost is incurred on the maintenance and repair of corrosion-affected equipment and machinery. In the marine environment, as-cast nickel-aluminium bronze (NAB) is susceptible to selective phase corrosion. To solve this problem, chromium-reinforced nickel-aluminium bronze was fabricated using the friction stir process (FSP) with improved microstructures and surface properties. A slurry erosion-corrosion test on as-cast and FSPed composites demonstrated that the developed surfaced composite has lower erosion and corrosion rates than the as-cast NAB alloy. The erosion-corrosion rate increased with a decrease in the impact angle from 90° to 30° for both as-cast NAB and prepared composites, exhibiting a shear mode of erosion. The specimens at impact angle 30° experienced more pitting action and higher mass loss compared with those at impact angle 90°. Due to increases in the mechanical properties, the FS-processed composite showed higher erosion resistance than the as-cast NAB alloy. Furthermore, corrosion behaviour was also studied via the static immersion corrosion test and electrochemical measurements under 3.5 wt.% NaCl solution. In a static immersion corrosion test, the FSPed composite outperformed the as-cast NAB composite by a wide margin. The FSPed composite also demonstrated a reduced electrochemical corrosion rate, as revealed by the polarization curve and electrochemical impedance spectroscopic (EIS) data. This reduced rate is attributed to the formation of a Cr oxide film over its surface in the corrosive environment.
Language	English
Publishing date	2022-08-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma15155401
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Article ; Online: Cardiac output monitoring - invasive and noninvasive.

Arya, Virendra K / Al-Moustadi, Waiel / Dutta, Vikas

Current opinion in critical care

2022 Volume 28, Issue 3, Page(s) 340–347

Abstract: Purpose of review: The purpose of this article is to review various contemporary cardiac output (CO) measurement technologies available and their utility in critically ill patients.: Recent findings: CO measurement devices can be invasive, minimally ... ...

Abstract	Purpose of review: The purpose of this article is to review various contemporary cardiac output (CO) measurement technologies available and their utility in critically ill patients. Recent findings: CO measurement devices can be invasive, minimally invasive, or noninvasive depending upon their method of CO measurement. All devices have pros and cons, with pulmonary artery catheter (PAC) being the gold standard. The invasive techniques are more accurate; however, their invasiveness can cause more complications. The noninvasive devices predict CO via mathematical modeling with several assumptions and are thus prone to errors in clinical situations. Recently, PAC has made a comeback into clinical practice especially in cardiac intensive care units (ICUs). Critical care echocardiography (CCE) is an upcoming tool that not only provides CO but also helps in differential diagnosis. Lack of proper training and nonavailability of equipment are the main hindrances to the wide adoption of CCE. Summary: PAC thermodilution for CO measurement is still gold standard and most suitable in patients with cardiac pathology and with experienced user. CCE offers an alternative to thermodilution and is suitable for all ICUs; however, structural training is required.
MeSH term(s)	Cardiac Output ; Catheterization, Swan-Ganz/methods ; Critical Illness/therapy ; Humans ; Monitoring, Physiologic/methods ; Thermodilution/methods
Language	English
Publishing date	2022-03-11
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	1235629-3
ISSN	1531-7072 ; 1070-5295
ISSN (online)	1531-7072
ISSN	1070-5295
DOI	10.1097/MCC.0000000000000937
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