Eye in the Sky: Real-time Drone Surveillance System (DSS) for Violent Individuals Identification using ScatterNet Hybrid Deep Learning Network

Drone systems have been deployed by various law enforcement agencies to monitor hostiles, spy on foreign drug cartels, conduct border control operations, etc. This paper introduces a real-time drone surveillance system to identify violent individuals in public areas. The system first uses the Feature Pyramid Network to detect humans from aerial images. The image region with the human is used by the proposed ScatterNet Hybrid Deep Learning (SHDL) network for human pose estimation. The orientations between the limbs of the estimated pose are next used to identify the violent individuals. The proposed deep network can learn meaningful representations quickly using ScatterNet and structural priors with relatively fewer labeled examples. The system detects the violent individuals in real-time by processing the drone images in the cloud. This research also introduces the aerial violent individual dataset used for training the deep network which hopefully may encourage researchers interested in using deep learning for aerial surveillance. The pose estimation and violent individuals identification performance is compared with the state-of-the-art techniques.Comment: To Appear in the Efficient Deep Learning for Computer Vision (ECV) workshop at IEEE Computer Vision and Pattern Recognition (CVPR) 2018. Youtube demo at this: https://www.youtube.com/watch?v=zYypJPJipY

Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network

Disguised face identification (DFI) is an extremely challenging problem due to the numerous variations that can be introduced using different disguises. This paper introduces a deep learning framework to first detect 14 facial key-points which are then utilized to perform disguised face identification. Since the training of deep learning architectures relies on large annotated datasets, two annotated facial key-points datasets are introduced. The effectiveness of the facial keypoint detection framework is presented for each keypoint. The superiority of the key-point detection framework is also demonstrated by a comparison with other deep networks. The effectiveness of classification performance is also demonstrated by comparison with the state-of-the-art face disguise classification methods.Comment: To Appear in the IEEE International Conference on Computer Vision Workshops (ICCVW) 201

Correlation between the Spot Urine Protein Creatinine Ratio, Spot Urine Albumin Creatinine Ratio and 24 Hrs Urine Protein Estimation in Patients with Nephrotic Range Proteinuria

BACKGROUND: Quantitation of proteinuria by 24-hour urine collection is the conerstone of monitoring disease activity in patients with patients with nephrotic range proteinuria (>3.5 gms/day). Such collections, however, are often inaccurate, inadequate, tedious, time consuming. Up to 20% of 24 hours urine collection samples get discarded because of inadequate or incorrect collection. The urine PCR (protein creatinine ratio) and urine ACR (albumin creatinine ratio) corrects for variations in urinary protein concentration due to hydration and is not affected by a decrease in urine output in patients with renal insufficiency. It is far more convenient than timed urine collections. There are several studies showing the correlation in sub-nephrotic range proteinuric patients. But there are comparatively fewer studies correlating these variables in the only nephrotic range. Also very few studies have compared the efficacy of urine PCR with urine ACR to quantify 24 hours proteinuria. OBJECTIVES: 1. To assess the relationship between 24 hours urine protein estimation and spot urine PCR (Protein Creatinine Ratio). 2. To assess the relationship between 24 hours urine protein estimation and spot urine ACR (Albumin Creatinine Ratio). 3. To assess which amongst the above mentioned (urine PCR and Urine ACR) is a better predictor of the 24 hours urine protein estimation. METHOD: 72 patients with proven nephrotic range proteinuria with varying degree of renal dysfunction were included in this study. First morning spot urine sample was collected for the estimation of urine PCR and urine ACR. Then the values were compared. RESULTS: There is significant correlation not only between 24 hours urine protein and protein-Creatinine ratio (r = 0.825) (P < 0.001) but also between 24 hours urine protein and albumin -Creatinine ratio (r = 0.636) (P < 0.001). The correlation between urine PCR and 24 hours urine protein becomes weaker as the Glomerular Filtration Rate (GFR) worsens and is weakest at stage 5 chronic kidney disease (CKD) (r = 0.682). The logarithm value of 24 hours urine protein is numerically equal to logarithm value of urine PCR (r = 0.876). CONCLUSION: Spot morning urine samples for urine PCR and urine ACR (though less precise) are precise indicators of proteinuria and represents a simple, rapid procedure in establishing severity of heavy proteinuria

Agricultural sustainability in Karnataka: Application of Sustainable Livelihood Security Index

The present study was carried out in Karnataka state to assess the relative agricultural sustainability status of Karnataka during the year 2021–22 using Sustainable Livelihood Security Index (SLSI). Three indicators, viz. Ecological Security, Economic Efficiency and Social Equity Index were used. The results of the study show that in Karnataka better conditions for sustainable agriculture exist in majority of the Southern districts. However, few Northern districts, viz. Belagavi, Raichur, Bagalkote and Ballari have better level of ecological security and some Southern districts Bengaluru (U), Bengaluru (R), Chikkaballapur, Kolar and Ramanagara have low level of ecological security. In economic efficiency and social equity indicator also, majority of the Northern districts lagged behind compared to southern districts while Belagavi and Kalburgi districts have shown better performance compared to rest of the districts in the state. Adoption of sustainable agricultural practices such as judicial use of fertilizers and plant protection chemicals, efficient water use techniques (drip and sprinkler irrigation), use of organic manures and diversification of farm activities would help in sustainable agricultural development. To achieve ecological sustainability, steps need to be taken to enhance forest cover through afforestation especially in the districts which have poor ecological security. Further, there is a need to enhance the crop yield, encourage dairy farming and improve work force participation through training and skill development in the districts with poor economic efficiency

Case report: multiple gastric adenomatous polyps- a rare occurrence

Multiple gastric polyps usually occur as a part of multiple polyposis syndrome of the gut. Multiple gastric polyps are rarely encountered in general surgical practice, with an incidence of &lt;1% including those detected incidentally. Most common multiple gastric polyps are hyperplastic polyps. Multiple adenomatous gastric polyps without polyps anywhere else in gut is a very rare occurrence. Aggressive approach with total gastrectomy should be done to all cases of multiple adenomatous gastric polyps due to the high chances of developing cancer even if it localised

Percutaneous tricuspid valvotomy for pacemaker lead-induced tricuspid stenosis

AbstractPermanent pacemaker lead-induced tricuspid regurgitation is extremely uncommon. We report a patient with severe tricuspid stenosis detected 10 years after permanent single chamber pacemaker implantation in surgically corrected congenital heart disease. The loop at the level of the tricuspid valve may have caused endothelial injury and eventually led to stenosis. Percutaneous balloon valvotomy for such stenosis has not been reported from India

Topical corticosteroid therapy: clobetasol propionate 0.025%

Topical corticosteroids have been the cornerstone of treatment over the last six decades for various dermatoses characterized by dry, scaly, crusted, or erythematous skin as well as those associated with inflammation and pruritus. The potency of a topical steroid depends on the specific molecule, the amount of drug reaching the target, absorption through the skin (0.25%–3%), and the formulation. Clobetasol propionate (CP) 0.025% cream formulation is a potent, fifth-generation topical corticosteroid. It is approved by the United States Food and Drug Administration to be applied twice daily for the treatment of moderate-to–severe psoriasis in adults. This case series covers the clinical experience of various dermatologists, including their expert opinion on the safety and efficacy of ImpoyzTM (CP) cream 0.025% in different skin disorders

Exploring the implications of modified advanced lung cancer inflammation index on outcomes in patients with advanced non-small cell lung cancer

Aim: Sarcopenia and skeletal muscle density (SMD) have been shown to be both predictive and prognostic marker in oncology. Advanced lung cancer inflammation index (ALI) has been shown to predict overall survival (OS) in small cell lung cancer (SCLC). Computed tomography (CT) enables skeletal muscle to be quantified, whereas body mass index (BMI) cannot accurately reflect body composition. The purpose was to evaluate the prognostic value of modified ALI (mALI) using CT-determined third lumbar vertebra (L3) muscle index beyond original ALI and see the interaction between sarcopenia, SMD, neutrophil-lymphocyte ratio (NLR), ALI and mALI at baseline and post 4 cycles of chemotherapy and their effects on OS and progress free survival (PFS) in patients with advanced non-SCLC (NSCLC). Methods: This retrospective study consisted of a total of 285 advanced NSCLC patients. The morphometric parameters such as SMD, skeletal muscle index (SMI) and fat-free mass (FFM) were measured by CT at the L3 vertebra. ALI was defined as BMI × serum albumin/NLR and mALI was defined as SMI × serum albumin/NLR. Results: Sarcopenia was observed in over 70% of patients across all BMI categories. Patients having sarcopenia suffered from a higher incidence of chemotherapeutic drug toxicities but this was not found to be statistically significant. Concordance was seen between ALI and mALI in the pre-treatment setting and this was statistically significant. A significant proportion of patients with poor ALI (90.9%), poor pre-chemotherapy mALI (91.3%) and poor post-chemotherapy mALI (89%) had poor NLR and each of them was statistically significant. Conclusions: In both univariate and multivariate analyses, this study demonstrated the statistical significance of sarcopenia, SMD, and mALI as predictive factors for OS. Additionally, sarcopenia and SMD were also found to be statistically significant factors in predicting PFS. These biomarkers could potentially help triage patients for active nutritional intervention for better outcomes

Generation, annotation, and analysis of ESTs from midgut tissue of adult female Anopheles stephensi mosquitoes

<p>Abstract</p> <p>Background</p> <p>Malaria is a tropical disease caused by protozoan parasite, <it>Plasmodium</it>, which is transmitted to humans by various species of female anopheline mosquitoes. <it>Anopheles stephensi </it>is one such major malaria vector in urban parts of the Indian subcontinent. Unlike <it>Anopheles gambiae</it>, an African malaria vector, transcriptome of <it>A. stephensi </it>midgut tissue is less explored. We have therefore carried out generation, annotation, and analysis of expressed sequence tags from sugar-fed and <it>Plasmodium yoelii </it>infected blood-fed (post 24 h) adult female <it>A. stephensi </it>midgut tissue.</p> <p>Results</p> <p>We obtained 7061 and 8306 ESTs from the sugar-fed and <it>P. yoelii </it>infected mosquito midgut tissue libraries, respectively. ESTs from the combined dataset formed 1319 contigs and 2627 singlets, totaling to 3946 unique transcripts. Putative functions were assigned to 1615 (40.9%) transcripts using BLASTX against UniProtKB database. Amongst unannotated transcripts, we identified 1513 putative novel transcripts and 818 potential untranslated regions (UTRs). Statistical comparison of annotated and unannotated ESTs from the two libraries identified 119 differentially regulated genes. Out of 3946 unique transcripts, only 1387 transcripts were mapped on the <it>A. gambiae </it>genome. These also included 189 novel transcripts, which were mapped to the unannotated regions of the genome. The EST data is available as ESTDB at <url>http://mycompdb.bioinfo-portal.cdac.in/cgi-bin/est/index.cgi</url>.</p> <p>Conclusion</p> <p>3946 unique transcripts were successfully identified from the adult female <it>A. stephensi </it>midgut tissue. These data can be used for microarray development for better understanding of vector-parasite relationship and to study differences or similarities with other malaria vectors. Mapping of putative novel transcripts from <it>A. stephensi </it>on the <it>A. gambiae </it>genome proved fruitful in identification and annotation of several genes. Failure of some novel transcripts to map on the <it>A. gambiae </it>genome indicates existence of substantial genomic dissimilarities between these two potent malaria vectors.</p