Chip Architecture for Data Sorting Using Recursive Algorithm

“This paper suggests a way to implement recursive algorithm on hardware with an example of sorting of numeric data. Every recursive call/return needs a mechanism to store/restore parameters, local variables and return addresses respectively. Also a control sequence is needed to control the flow of execution as in case of recursive call and recursive return. The number of states required for the execution of a recursion in hardware can be reduced compared with software. This paper describes all the details that are required to implement recursive algorithm in hardware. For implementation, all the entities are designed using VHDL and are synthesized, configured on Spartan-2 XC2S200-5PQ208.

ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations

State-of-the-art empirical work has shown that visual representations learned by deep neural networks are robust in nature and capable of performing classification tasks on diverse datasets. For example, CLIP demonstrated zero-shot transfer performance on multiple datasets for classification tasks in a joint embedding space of image and text pairs. However, it showed negative transfer performance on standard datasets, e.g., BirdsNAP, RESISC45, and MNIST. In this paper, we propose ContextCLIP, a contextual and contrastive learning framework for the contextual alignment of image-text pairs by learning robust visual representations on Conceptual Captions dataset. Our framework was observed to improve the image-text alignment by aligning text and image representations contextually in the joint embedding space. ContextCLIP showed good qualitative performance for text-to-image retrieval tasks and enhanced classification accuracy. We evaluated our model quantitatively with zero-shot transfer and fine-tuning experiments on CIFAR-10, CIFAR-100, Birdsnap, RESISC45, and MNIST datasets for classification task.Comment: 11 Pages, 7 Figures, 2 Tables, ICVGI

SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfer

CLIPStyler demonstrated image style transfer with realistic textures using only the style text description (instead of requiring a reference style image). However, the ground semantics of objects in style transfer output is lost due to style spillover on salient and background objects (content mismatch) or over-stylization. To solve this, we propose Semantic CLIPStyler (Sem-CS) that performs semantic style transfer. Sem-CS first segments the content image into salient and non-salient objects and then transfers artistic style based on a given style text description. The semantic style transfer is achieved using global foreground loss (for salient objects) and global background loss (for non-salient objects). Our empirical results, including DISTS, NIMA and user study scores, show that our proposed framework yields superior qualitative and quantitative performance.Comment: 11 Pages, 4 Figures, 2 Table

Cytomorphometric Analysis of Oral Mucosa in Diabetic Patients in Bhopal Region an In-Situ Study

Background: Diabetes is a common endocrine metabolic disorder and prevalence is increasing worldwide. In condition like diabetes, premalignant lesions and iron deficiency anemia; oral exfoliative cytology may be more appropriate as the invasive techniques lose viability. Aim: The study was conducted to analyze the cytomorphometric changes in exfoliated cells of oral mucosa as an adjunct to diagnosis of diabetes. Method: Samples were collected from buccal mucosa and divided into 2 groups; 100 diabetic patients (study) and 100 healthy individuals (control). The smears were stained with rapid Papanicolaou stain (PAP). Nuclear area (NA), cytoplasmic area (CA) and cytoplasmic to nuclear ratio (CNR) were evaluated in 50 cells in each smear using Image analysis software (Magnus pro™) and research microscope (Lawrance & Mayo™). Results: Mean NA was significantly higher (p < 0.001) in study group whereas mean CA didn’t exhibit any statistically significant difference (p > 0.001). The mean CNR was significantly lower in study group (p < 0.001). Conclusion: Clinical observations and results suggested morphologic and functional alterations in oral epithelial cells in diabetic patients; detectable by microscopic and cytomorphometric analysis using exfoliative cytology and can be used in diagnosis. &nbsp

Models for crop parameters due to normal load of tractor and number of passes

Multiple passage of power machinery system particularly heavy machines with high wheel loads creates sub-soil compaction which results into increasing in soil bulk density & penetration resistance and reduction in water infiltration, crop germination, growth as well as yield. This study was conducted to determine the different crop growth and crop yield models could be developed to predict growth as well as yield of crop considering normal load and number of passes of tractor. A 36-plot experiment consisting of 12 treatments with three replications were set up using a randomized block design in a uniform field of Division of Agricultural Engineering, IARI, New Delhi during the period of 2007-08. Prediction models were developed between compaction parameters (normal loads and number of passes) and crop parameters like (a) plant height, (b) number of plants per meter, and (c) yield. In, other models a relation between crop yield and sub-soil bulk density and penetration resistance were established and their sensitivity analysis was done for developed models. The best fit model for plant height and number of plants per meter row was quadratic. However, the best fit model between yield vs soil bulk density and yield vs penetration resistance was exponential and quadratic, respectively. The developed model is not more sensitive for number of plants per meter row and yield vs soil bulk density. However, model was more sensitive to plant height model and yield vs soil penetration resistance is more sensitive

SISTEM INFORMASI TOKO AKUN GAME ONLINE DENGAN FITUR CUSTOMER RELATIONSHIP MANAGEMENT (CRM)

Sistem informasi sangat dibutuhkan didalam penjualan online, khususnya penjualan akun game online. Fitur Customer Relationship Management (CRM) yang dikembangkan akan memudahkan komunikasi dengan pembeli. Pembelian akun game online di media sosial sering kali terjadi penipuan. Tujuan dari sistem ini adalah memudahkan pemain game online dalam melakukan pembelian akun game online yang aman dan mudah digunakan. Metode pengembangan website yang digunakan oleh peneliti yaitu metode Systems Development Life Cycle (SDLC). Perangkat yang digunakan untuk melakukan penelitian ini adalah laptop dengan spesifikasi : prosesor intel Core i7, RAM 4 GB DDR3. Software yang digunakan yaitu : Microsoft Windows 10, Sublime Text, Mozilla Firefox. Hasil yang diperoleh dari penelitian menunjukkan bahwa sistem ini dapat digunakan oleh pemain game online dalam pembelian akun game online dengan aman dan mudah digunakan. Berdasarkan hasil pengujian black box dapat disimpulkan bahwa sistem dapat berjalan dengan baik, sedangkan pengujian kuisioner dengan rata-rata 83% menyatakan sistem sudah sesuai dengan kebutuhan dan dapat diterima oleh pemain game online yang ingin membeli akun game online. Sistem sudah diuji pada smartphone dengan berbagai ukuran layar yang menunjukkan bahwa sistem bersifat responsive

Lichen planus of uterine cervix - the first report of a novel site of occurrence: a case report

This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens

Imaging of Knee Joint Pathologies: A Comparative Study of Ultrasound and Magnetic Resonance Imaging

Background: Magnetic resonance imaging (MRI) has been accepted as the best non-invasive imaging modality for the evaluation of knee joint pathology but the advantages of ultrasound (US) over magnetic resonance imaging (MRI) are that the ultrasound is readily available, cheap and offers real-time imaging. Aim: To assess the accuracy of ultrasound in diagnosing knee joint pathologies using MRI as a reference. Materials And Methods: 50 patients were evaluated prospectively over a period of 1.5 years by USG followed by MRI of the affected knee. Accuracy of USG was calculated with MRI as reference. Results: In our study, the majority of patients were in age group 21-30 years. Perfect agreement was noted between ultrasound and MRI for detecting Baker’s cyst. Near perfect agreement was noted between ultrasound and MRI for detecting joint effusion, soft tissue edema and osteophytes. Substantial agreement was noted between ultrasound and MRI for Collateral ligaments tear and Meniscal injuries. Moderate agreement was noted between ultrasound and MRI for PCL tear. Fair agreement was noted between ultrasound and MRI for ACL tear. Conclusion: Knee USG has high accuracy in diagnosing pathologies like knee joint effusion, synovitis, popliteal/baker’s cysts, soft tissue edema/cellulitis, arthritic changes, collateral ligament and meniscal tears. Keywords: Knee joint pathologies, Ultrasound, MRI, Ligament

Rare variants in tenascin genes in a cohort of children with primary vesicoureteric reflux

Primary vesicoureteral reflux (PVUR) is the most common malformation of the kidney and urinary tract and reflux nephropathy is a major cause of chronic kidney disease in children. Recently, we reported mutations in tenascin XB (TNXB) as a cause of PVUR with joint hypermobility