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Research ArticleOpen accessEvery word in the titleOptimization and Molecular Identification of Protease-Producing Thermophilic Bacterial Isolate TUA-26Anthoni Agustien, Mufidhatul Muqarramah, Feskaharny AlamsjahProtease enzymes are used as biocatalysts that can accelerate a reaction. Thermostable enzymes produced by thermophilic bacteria are needed in the industrial field because of their ability to withstand high temperatures. The thermophilic bacterial isolate TUA-26 that produces protease was to analyze the optimum conditions of temperature, pH, agitation, trace elements, carbon sources, and nitrogen sources; the stability of protease … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 6 Apr 2024 · 4,935 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlepH and Temperature Optimization of Several Bacterial Isolates from Mangrove Waters in the Mandeh Area to Produce Cellulase EnzymeFeskaharny Alamsjah, Dwiky Rahmadi Aswan, Anthoni AgustienEnzymes serve as vital biological catalysts, playing a crucial role in numerous industrial processes to accelerate specific biochemical reactions. In this study, we aimed to optimize cellulase enzyme production by investigating the influence of temperature and pH on four bacterial isolates: PUA-18, PUA-21, PUA-28, and PUA-38. The experiment was carried out in triplicates using a one-factor-at-a-time design, with pH and … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 28 Mar 2024 · 6,476 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimal Control of a Malaria Transmission Model with Saturated IncidencePerpetual Appiah, Henry Amankwah, Francis BenyahWe present a vector-host deterministic model for the transmission and control of malaria, using prevention and treatment as controls. A novel addition to our model is a new prevention function that highlights the role of prevention in reducing vector populations; an essential arsenal in the fight against malaria. Another innovation is the use of a novel treatment function, which reflects … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 29 Feb 2024 · 5,894 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNon-Hodgkin Lymphoma Risk Grading Through the Pathological Data by Using the Optimized Convolutional Lymphnet ModelSivaranjini Nagarajan, Gomathi MuthuswamyDiagnosing Non-Hodgkin Lymphoma (NHL) is difficult and often requires specialised training and expertise as well as extensive morphological investigation and, in certain cases, costly immunohistological and genetic techniques. Computational approaches enabling morphological-based decision making are necessary for bridging the existing gaps. Histopathological images can be accurately classified using deep learning approaches, however data on NHL subtyping is limited. However, there … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 4,545 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptoelectronic Characterisation of Silicon and CIGS Photovoltaic Solar CellsRicardo A. Marques Lameirinhas, Afonso Ravasco, Catarina Pinho Correia Valério Bernardo, João Paulo N. TorresThroughout these years, many materials have been subjected to tests and experiments, creating several photovoltaic technologies and generations. In this article, some of these generations are compared, namely silicon and Copper Indium Gallium di-Selenide (CIGS), in order to characterize both materials in an optoelectronic way. Using a 2D solar cell PIN model using COMSOL software, both materials are tested, obtaining … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 1 · 30 Jan 2024 · 4,976 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptic Neuropathy: Characteristic Pathology for Identifying Drugs with Potential to Cause Mitochondrial ToxicityConnor Dyer, Katlyn Droke, Ugne Zekonyte, Mariana RoscaDeleterious effects on mitochondria are known to be frequently caused by prescription drugs, however, there is no standard and specific testing by pharmaceutical companies on these effects on mitochondria during drug development. The objective of this study is to determine if cases of optic neuropathy are related to drug-induced mitochondrial toxicity in a way that could be used to predict … …American Journal of Pharmacology and Toxicology, Vol. 18, Issue 1 · 19 Jan 2024 · 8,562 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFlock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection ImprovementDivager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha et al.Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converging optimization complex predictions, and latent and predominant feature extraction. These issues affect the system's … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,208 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSlime Mould Reproduction: A New Optimization Algorithm for Constrained Engineering ProblemsRajalakshmi Sakthivel, Kanmani SelvaduraiIn recent explorations of biologically inspired optimization strategies, the Slime Mould Reproduction (SMR) algorithm emerges as an innovative meta-heuristic optimization technique. This algorithm is deeply rooted in the reproductive dynamics observed in slime molds, particularly the intricate balance these organisms strike between local and global spore dispersal. By replicating this balance, the SMR algorithm deftly navigates between exploration and exploitation … …Journal of Computer Science, Vol. 20, Issue 1 · 21 Dec 2023 · 5,943 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConvolution Neural Networks of Dynamically Sized Filters with Modified Stochastic Gradient Descent Optimizer for Sound ClassificationManu Pratap Singh, Pratibha RashmiDeep Neural Networks (DNNs), specifically Convolution Neural Networks (CNNs) are found well suited to address the problem of sound classification due to their ability to capture the pattern of time and frequency domain. Mostly the convolutional neural networks are trained and tested with time-frequency patches of sound samples in the form of 2D pattern vectors. Generally, existing pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 1 · 13 Dec 2023 · 5,781 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder ModelTiny Du Toit, Hennie Kruger, Annette Van Der MerweTerrain classification according to specific terrain attributes, has become increasingly important in certain decision-making scenarios. Automated robots are often utilized to traverse a specific surface to collect data that can be used in classification models to identify a specific terrain. In this study, a supervised autoencoder model (i.e., an autoencoder combined with a supervised learner such as a multilayer perceptron) … …Journal of Computer Science, Vol. 19, Issue 9 · 31 Aug 2023 · 5,019 accessesView PDFCite