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Improved Dynamic Johnson Sequencing Algorithm (DJS) in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading
This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm...
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Isolation and characterization of highly active keratinolytic microorganisms with promising potential for waste sheep wool processing
The huge amounts of keratin-rich waste generated daily by various industries, slaughterhouses, and processing plants need to be properly managed....
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Microtechnologies for single-cell and spatial multi-omics
Single-cell omics assays allow the identification of the type, subtype and functional state of a single cell. To put such single-cell data in the...
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Towards Personalized Nutrition Applications with Nutritional Biomarkers and Machine Learning
The doctrine of the “one-size-fits-all” approach has been overcome in the field of disease diagnosis and patient management and replaced by a more...
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Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling
Cell type deconvolution is a computational method for the determination/resolution of cell type proportions from bulk sequencing data, and is...
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Numbers and Meaning
Comparing is at the origin of what is termed “to measure.” Before numbers (probably ca. 4000 years ago), language hosted descriptions that stood for...
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Index Optimization Using Wavelet Tree and Compression
Retrieving of relevant information from a large corpus is a challenging task nowadays. Wavelet tree is an accomplished data structure to store and...
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Deciphering the Recent Advancements in Diagnostic, Therapeutic and Vaccine Candidates Against COVID-19
The global outbreak of SARS-CoV-2, COVID-19 a novel strain of coronaviruses, emerged from Wuhan city of China in December 2019 and was later...
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Decision Making for Fast Productivity Ramp-Up of Manufacturing Systems
Frequent changes in demand and production context call for frequent modifications in manufacturing systems, which can be realized by...
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Modeling and APP Development for the Evaluation of the Electromagnetic Disturbance of Modular Multilevel Converter Towers
Compared with traditional high voltage direct current (HVDC) transmission, flexible HVDC transmission offers numerous advantages in technology,...
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Vaccines—is This the Happy Ending?
Once the vaccine was released, the number of hospitalizations and deaths through COVID-19 was substantially reduced. The record of this novel...
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World Information Technology Development
The world sees a stage when economic development largely relies on information industry. Since 2020, new-generation information technology has been...
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Advanced Signaling Mechanisms for Assurance of User Service Continuity in 4G/5G Mobile Network
The Evolve Packet Core (EPC) System is a complicated network and have to manage a huge number of connections with E-UTRAN, up to thousands of SCTP...
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Introduction
Biochemistry deals with chemical reactions in a variety of life forms. It is the basis for practical advances in medicine, agriculture, molecular...
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Bioinformatics approaches and applications in plant biotechnology
BackgroundIn recent years, major advance in molecular biology and genomic technologies have led to an exponential growth in biological information....
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Multiple Sequence Alignment Algorithms in Bioinformatics
Bioinformatics is a fast-evolving topic today. It has useful from establishing phylogenetic trees, protein structure prediction to discovery of...
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Play, Code, Learn: Fostering Computational Thinking in Primary Aged Learners Through Interactive Play
With computer science becoming a compulsory area of curriculum across the world, experts agree on the importance of develo** understanding of...
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A comparison of deep neural network models for cluster cancer patients through somatic point mutations
It is now well-known that genetic mutations contribute to development of tumors, in which at least 15% of cancer patients experience a causative...
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Development of a CFD Based Artificial Neural Network Metamodel for the Design of Micromixer
Microfluidics has enabled researchers to explore the physics of fluid in the regions of micro in size. Use of Machine Learning techniques in...
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Evolutionary Optimisation for Robotic Disassembly Sequence Planning and Line Balancing
The performance of an evolutionary algorithm in solving disassembly sequence planning or disassembly line balancing greatly depends on six parts: the...