In this study, we propose a novel unsupervised Change Detection (CD) model to detect flood extent using Synthetic Aperture Radar (SAR) time series data. The proposed model is based on a ...spatiotemporal variational autoencoder, trained with reconstruction and contrastive learning techniques. The change maps are generated with a proposed novel algorithm that utilizes differences in latent feature distributions between pre-flood and post-flood data. The model is evaluated on nine different flood events by comparing the results with reference flood maps collected from the Copernicus Emergency Management Services (CEMS) and Sen1Floods11 dataset. We conducted a range of experiments and ablation studies to investigate the performance of our model. We compared the results with existing unsupervised models. The model achieved an average of 70% Intersection over Union (IoU) score which is at least 7% better than the IoU from existing unsupervised CD models. In the generalizability test, the proposed model outperformed supervised models ADS-Net (by 10% IoU) and DAUSAR (by 8% IoU), both trained on Sen1Floods11 and tested on CEMS sites. Our implementation will be available here https://github.com/RituYadav92/CLVAE-Unsupervised_Change_Detection_TimeSeriesSAR.
•Algorithm for change map based on the latent parameters from the trained encoder.•Utilize SAR time series by adopting a convolutional LSTM in VAE network.•Fully self-supervised training using simplified contrastive learning.•Lightweight with 576,395 parameters, easy to test and deploy.
To keep continue the miniaturization of VLSI technology a Trimetal asymmetrical gate all around (TG-GAA) device is proposed to narrow the short channel effects of the scaling down of devices in terms ...of the improved subthreshold slope by reducing the leakage current up to 2.37E
−13
A and have the better control on the channel at lower supply voltages from 0.1 V to 1 V. The analytical electrical field distribution, channel length characterization and potential profile of the proposed device based on Gate all around Silicon nanowire MOSFET channel are enclosed by the Trimetal gate have been observed Using 2-D Poisson equation by considering parabolic approximation with appropriate boundary condition in cylindrical coordinates. Further subthreshold drain current model is derived by applying derived potential profile at subthreshold condition by considering the diffusion transportation. The surface & centre potential has been carried out to satisfy the basic optimum parameters for this new structure, which further supports that the DIBL effects was been minimized and observed that by reducing silicon thickness at (tSi =5 nm) lower leakage current 2.37E-13A and improved drain current(Id) of 2.159E-05A is obtained. Further proposed device exhibit decline DIBL of 23.3 mV/V, magnificent subthreshold slope 63.5 mV/decade and improved higher threshold voltage improved ON/OFF ratio. Additionally, well agreement has been observed between the derived 2-D analytical model with the simulated results obtained from numerical simulator Cogenda visual TCAD.
Lack of awareness of screening methods, risk factors, and symptoms may lead to late diagnosis and poor prognosis of cervical cancer. The plan of this study was to assess the level of awareness about ...cervical cancer and HPV vaccine among females of rural and urban areas of Haryana, India. This cross-sectional study was performed using a comprehensive self-designed questionnaire on 1500 women of urban (700) and rural (800) background aged 18–65 years, evaluating their knowledge for cervical cancer and screening, HPV infection and its preventive measure, and symptoms and risk factors. Data obtained was analyzed and interpreted by using simple percentages and bar charts. Most of the participants were aged between 21 and 30 years and had college level education. Majority of the women from rural areas had poor knowledge about cervical cancer (55%) and its screening (75%), HPV infection (87.5%), and HPV vaccine (95%) compared with urban areas. Knowledge about symptoms and risk factors was very low in both rural and urban areas. Whatever little knowledge the women had about cervical cancer was from college education, friends, neighbors, relatives, and medical practitioner or doctors. The survey pointed to the critical need to educate women about cervical cancer and its early diagnosis, related risk factors, symptoms, and preventive measures which can be achieved by launching extensive awareness programs for educating females about cervical cancer in India.
This study examines the predictability of real-time news data on investors’ buying behaviour in the futures market, using supervised sentiment analysis. Market sentiment or traders’ buying behaviour ...is captured at the bid-ask stage of price formation using the net buying pressure (NBP). Any significant change in NBP patterns defines an “interesting market event”. Real-time news headlines are automatically labelled using interesting market events, assuming a lag between the market information and its impact on buying behaviour. News was found to have an impact on the market buying behaviour of the S&P NIFTY index futures with an optimal lag of 5 minutes. Manual labelling of the news data validated this empirical finding.
Purpose: This study focused on the genetic screening of Myocilin (MYOC), Cytochrome P450 family 1 subfamily B member 1 (CYP1B1), Optineurin (OPTN), and SIX homeobox 6 (SIX6) genes in a family with ...coexistence of primary congenital glaucoma (PCG) and juvenile open-angle glaucoma (JOAG). Methods: Sanger sequencing was used to examine the coding region of all four genes. Six different online available algorithms were used for the pathogenicity prediction of missense variant. Structural analysis was done using Garnier-Osguthorpe-Robson (GOR), PyMol, ChimeraX, and Molecular Dynamic (MD) Simulations (using Graphics Processing Unit (GPU)-enabled Desmond module of Schrödinger). Results: There were a total of three sequence variants within the family. All seven algorithms determined that a single mutation, G538E, in the OPTN gene is pathogenic. The loops connecting the strands became more flexible, as predicted structurally and functionally by pathogenic mutations. Mutations create perturbations and conformational rearrangements in proteins, hence impairing their functioning. Conclusion: In this study, we describe a North Indian family in which members were having JOAG and PCG due to a rare homozygous/heterozygous mutation in OPTN. The coexistence of two types of glaucoma within a single pedigree suggests that certain OPTN mutations may be responsible for the onset of different glaucoma phenotypes.
Floods are occurring across the globe, and due to climate change, flood events are expected to increase in the coming years. Current situations urge more focus on efficient monitoring of floods and ...detecting impacted areas. In this study, we propose two segmentation networks for flood detection on uni-temporal Sentinel-1 Synthetic Aperture Radar data. The first network is “Attentive U-Net”. It takes VV, VH, and the ratio VV/VH as input. The network uses spatial and channel-wise attention to enhance feature maps which help in learning better segmentation. “Attentive U-Net” yields 67% Intersection Over Union (IoU) on the Sen1Floods11 dataset, which is 3% better than the benchmark IoU. The second proposed network is a dual-stream “Fusion network”, where we fuse global low-resolution elevation data and permanent water masks with Sentinel-1 (VV, VH) data. Compared to the previous benchmark on the Sen1Floods11 dataset, our fusion network gave a 4.5% better IoU score. Quantitatively, the performance improvement of both proposed methods is considerable. The quantitative comparison with the benchmark method demonstrates the potential of our proposed flood detection networks. The results are further validated by qualitative analysis, in which we demonstrate that the addition of a low-resolution elevation and a permanent water mask enhances the flood detection results. Through ablation experiments and analysis we also demonstrate the effectiveness of various design choices in proposed networks. Our code is available on Github at
https://github.com/RituYadav92/UNI_TEMP_FLOOD_DETECTION
for reuse.
Introduction: Cervical cancer is the second most common gynaecological malignancy worldwide. Persistent Human Papillomavirus (HPV) infection is the principal risk factor leading to cervical ...carcinogenesis and causes a large number of casualties. Aim: To estimate the risk factors and symptoms related to cervical carcinoma and to check for mono-infection or co-infections of low-risk and high-risk HPVs in Northern Indian females. Materials and Methods: This cross-sectional study was conducted from January 2019 to January 2021 on 110 confirmed cervical cancer tissue samples collected from the Department of Obstetrics and Gynaecology at Pandit BD Sharma University of Health Sciences, Rohtak, Haryana, India. Information about risk factors and symptoms was collected using a semistructured proforma. Detection of HPV infection and HPV genotyping (16, 18, 33, 58, 6, and 11) was done by using type-specific Polymerase Chain Reaction (PCR). Fisher’s exact test was applied to determine the association of high- risk HPV infection with other risk factors using GraphPad Prism Version 6 (La Jolla, California, USA). A p-value of ≤0.05 was considered significant. Results: Of all the studied cases, 68 (62%) were above 55 years old, 67 (61%) were in a postmenopausal state, and 86 (78%) were from a rural background. Irregular menstruation was observed in 99 (90%) cases, bleeding after menopause in 59 (54%) cases, and early age at first intercourse in 57 (52%) cases were the most common symptoms. HPV infection was found in all cases of cervical carcinoma. The incidence of high- risk-HPV16 (84%) and HPV18 (73%) was the most prominent, while the incidence of low-risk-HPV6 (7.2%) and HPV11 (6%) was the lowest. Co-infection of HPV16/18 was the Highest in 60 (54.5%) cases, followed by HPV16/33 in 13 (11.8%) cases. Multi-infection of HPV types 16/18/33 was found in 10 (9.1%) cases, and multi-infection of HPV types 16/18/33/6/11, except HPV58, was found in one patient. Conclusion: Higher age, postmenopausal status, early age at intercourse, and poor menstrual hygiene were significantly associated with high-risk HPV co-infection. Educating women about the risk factors and symptoms of cervical cancer and screening for high-risk HPVs in rural women are required to reduce the prevalence of cervical cancer in Northern India.
Currently, therapies such as chimeric antigen receptor-T Cell (CAR-T) and immune checkpoint inhibitors like programmed cell death protein-1 (PD-1) blockers are showing promising results for numerous ...cancer patients. However, significant advancements are required before CAR-T therapies become readily available as off-the-shelf treatments, particularly for solid tumors and lymphomas. In this review, we have systematically analyzed the combination therapy involving engineered CAR-T cells and anti PD-1 agents. This approach aims at overcoming the limitations of current treatments and offers potential advantages such as enhanced tumor inhibition, alleviated T-cell exhaustion, heightened T-cell activation, and minimized toxicity. The integration of CAR-T therapy, which targets tumor-associated antigens, with PD-1 blockade augments T-cell function and mitigates immune suppression within the tumor microenvironment. To assess the impact of combination therapy on various tumors and lymphomas, we categorized them based on six major tumor-associated antigens: mesothelin, disialoganglioside GD-2, CD-19, CD-22, CD-133, and CD-30, which are present in different tumor types. We evaluated the efficacy, complete and partial responses, and progression-free survival in both pre-clinical and clinical models. Additionally, we discussed potential implications, including the feasibility of combination immunotherapies, emphasizing the importance of ongoing research to optimize treatment strategies and improve outcomes for cancer patients. Overall, we believe combining CAR-T therapy with PD-1 blockade holds promise for the next generation of cancer immunotherapy.
Persistent infection with oncogenic HPV and downregulation of tumor suppressor genes play an essential role in the development and progression of cervical cancer. The present study aimed to identify ...the promoter methylation status of
APC, SFRP1
, and
PTEN
which are important regulators of Wnt pathway and their association with high-risk HPV infection and gene expression. Methylation Specific PCR (MSP) and quantitative reverse transcription PCR (RT-qPCR) were used to detect methylation status and gene expression levels of
APC, SFRP1
, and
PTEN
in cervical cancer biopsies (110) and paired non-cancerous biopsies (28).
APC
promoter was methylated in 38%,
SFRP1
in 95%, and
PTEN
in 55% of the cervical cancer biopsies. Our data showed a trend of a higher rate of methylation of the gene promoters in cervical cancer biopsies while; they were majorly un-methylated in non-cancerous biopsies. Corresponding to a higher rate of methylation in cancer biopsies, the gene expression levels of
APC, SFRP1
, and
PTEN
were reduced in cervical cancer samples in comparison to normal cervix tissues. Further, we observed that 97% cancer biopsies were HPV infected and high-risk type HPV16 and 18 infections were significantly positively associated with
APC
(p = 0.008 and p = 0.007)
, SFRP1
(p = 0.003 and p = 0.0067), and
PTEN
(p = 0.049 and p = 0.008) promoter methylation.
APC, SFRP1
, and
PTEN
promoter hyper-methylation is positively associated with high-risk HPV infection and inversely associated with gene expression. Our findings show that high-risk HPV infection promotes methylation of these genes and further promotes their silencing.
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