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Research ArticleOpen accessIn the abstractEffects of Purified Tick Saliva Toxins on Various Bio-Molecules in Blood Serum, Liver and Muscles of Albino MiceNidhi Yadav, Ravi Kant UpadhyayIn the present study, salivary toxins from Rhipicephalus microplus were isolated and purified on a Sepharose CL 6B 200 gel column at a constant flow rate with regular fractions of 5 mL/min. Pooled fractions were lyophilized and LD50 was then determined in albino mice. The LD50 value of the protein toxin of Rhipicephalus microplus was found 36.11 mg/kg body weight … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 1 · 30 Dec 2023 · 5,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Effect on Residual Learning by Gradual Narrowing Fully-Connected Layer Width and Implementing Inception Block in Convolution LayerSaurabh SharmaResearch conducted on the advancement of CNN architecture for computer vision problems focuses on strategically choosing and modifying convolution hyperparameters (kernel, pooling, etc.). However, these research works don't exploit the advantage of employing multi fully-connected layers post the core schema to avail further performance improvements, which have been identified as the first research gap. Studies were also conducted to address … …Journal of Computer Science, Vol. 18, Issue 5 · 24 May 2022 · 6,051 accessesView PDFCite
Review ArticleOpen accessIn the abstractNeospora caninum Infection in Cattle and Dogs in Iran: A Systematic Review and Meta-AnalysisMohammad Jokar, Saied Bokaie, Vahid Rahmanian et al.Neosporosis, a parasitic infection caused by Neospora caninum (N. caninum), is one of the main contagious factors that cause reproductive disturbances in cattle and neuromuscular complaints in dogs. This review was performed to determine the prevalence of cattle and dogs neosporosis in Iran. Data were systematically gathered from January 2004 to July 2020 in the Islamic Republic of Iran from … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 1 · 23 Jan 2021 · 7,354 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned MobileNet Classifier for Classification of Strawberry and Cherry Fruit TypesVenkatesh, Nagaraju Yallappa, Siddhanth Udayashankar Hegde, Sangeetha Raj StalinThis paper proposed an accurate, fast and reliable strawberry, cherry fruit detection and classification system for the automated strawberry cherry yield estimation. State-of-the-art deep learning-based fine-tuned MobileNet Convolutional Neural Network is developed to detect and classify strawberry and cherry fruit types in the outdoor field. The proposed CNN model is trained on 4250 strawberry fruit images, 3878 Cherry fruit images … …Journal of Computer Science, Vol. 17, Issue 1 · 20 Jan 2021 · 7,956 accessesView PDFCite
Case ReportOpen accessIn the abstractFree-Living Amoebae and Central Nervous System Infection: Report of Seven CasesAlcalá Martínez Enrique, Gaona Flores Verónica A., Paz Ayar Nibardo, González Guerra EduardoThe Free-Living Amoeba (FLA) is an opportunistic protozoan with a cosmopolitan distribution that can cause Central Nervous System (CNS) infection. It develops in relatively stagnant waters such as swimming pools, lagoons and ponds but only species belonging to the genera Hartmannella, Naegleria, Acanthamoeba and Balamuthia have been found in humans. The resulting pathology is highly lethal due to the lack … …American Journal of Infectious Diseases, Vol. 15, Issue 4 · 14 Dec 2019 · 7,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Composted Animal Manure as Fertilizer on Productivity of Azolla Pinnata Grown in Earthen PondsRistianto Utomo, Cuk Tri Noviandi, Nafiatul Umami, Adhitya PermadiAzolla pinnata contains a high nutritional value with a high protein content of 25%, so it can be used as an alternative to animal feed. The low production of Azolla is caused by the suboptimal use of fertilizers. This study aims were to determine the type of manure (composted manure from poultry, goats, and rabbit) which was the most optimal … …OnLine Journal of Biological Sciences, Vol. 19, Issue 4 · 9 Nov 2019 · 11,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel Comparison for the Prediction of Stock Prices in the NYSEVictoria Switlyk, Junfeng ShangThe stock market is an integral part of investments as well as the economy. The prediction of stock prices is an exciting and challenging problem that has been considered by many due to the complexity and noise within the market and to the potential profit that can be yielded from accurate predictions. We aim to construct and compare models used … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 26 Sep 2019 · 7,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Examination of Factor Structure of the Hamilton Anxiety Rating Scale in a Non-Clinical Persian SamplePaul Slater, Brendan Bunting, Felicity Hasson et al.The Hamilton Anxiety Rating Scale is an internationally used assessment tool for anxiety level however its acceptable factor structure remains fluid. The aim of this paper is to examine the psychometric properties and establish normative anxiety prevalence rates with a Persian randomized sample. A cross sectional survey was distributed to a randomised sample of adults (n = 1260) in the … …International Journal of Research in Nursing, Vol. 10, Issue 1 · 28 May 2019 · 9,828 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Convolutional Neural Wavelet Network for Classification of Medical ImagesRamzi Ben Ali, Ridha Ejbali, Mourad ZaiedThis work present a new solution for medical image classification using the Neural Network (NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the Adaboost algorithm. This method is divided in two stages: The learning stage and the classification stage. The first consists to extract the features using the FWT based on the MultiResolution Analysis (MRA). … …Journal of Computer Science, Vol. 14, Issue 11 · 11 Nov 2018 · 7,627 accessesView PDFCite