Topic Review Peer Reviewed
Machine Learning in Healthcare Communication
Machine learning (ML) is a study of computer algorithms for automation through experience. ML is a subset of artificial intelligence (AI) that develops computer systems, which are able to perform tasks generally having need of human intelligence. While healthcare communication is important in order to tactfully translate and disseminate information to support and educate patients and public, ML is proven applicable in healthcare with the ability for complex dialogue management and conversational flexibility. In this topical review, we will highlight how the application of ML/AI in healthcare communication is able to benefit humans. This includes chatbots for the COVID-19 health education, cancer therapy, and medical imaging. 
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  • 13 Apr 2022
Topic Review
Internet of Things (IoT)
The Internet of Things (IoT) is an extensive network of heterogeneous devices that provides an array of innovative applications and services. IoT networks enable the integration of data and services to seamlessly interconnect the cyber and physical systems.
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  • 18 Feb 2022
Topic Review
Effect of Surjection on Inheritance
Consider a biological evolutionary process.  We assume some (non-empty) finite set of offspring.  Assume each offspring is assigned as coming from a single set of parents in the previous generation.  There may be more than one offspring from each of set of parents.  This form of mathematical arrangement is called a surjection.   We have briefly described the mechanics of genetics; but we have also described much of mathematical anthropology.   The finding that a process is a surjection does not just describe the algebra, it also predicts important results.  If we have found an inheritance process is a surjection, then each of the offspring is unique, but all of the acts of parental pairs must occur through identical (including isomorphic) means of reproduction; in fact here they require mathematical groups.  We demonstrate from published surveys that all offspring are unique.  Mathematical groups occur in both applications, determining the choices behind parental actions.  The surjection requirements are met in genetics because the mathematics are determined by the mathematical groups determined by quantum mechanics.  In culture theory, similar (and in some cases, isomorphic) groups occur.  Quantum mechanics is usually discussed for very small objects with incredibly short process intervals.  Here, the intervals of reproduction are observable within normal human perception, and for human cultural systems require decades of time for one generation system to be replaced by another.  In genetics, counting of the number of offspring from each pair of “parents” is the actual number of offspring surviving from each pair to reproduce.  Each human culture has its own means of assigning offspring to parental pairs, which may include their surviving genetic offspring, but also may use culturally designated devices such as adoption.  Since surjection also requires that distributions might be forecasted using the Stirling Number of the Second Kind, that result allows culture theory to predict the numbers of offspring per assigned couple, and the percentage of adults engaging in that reproduction.  
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  • 23 Dec 2020
Topic Review
Coverage Path Planning Methods Focusing on Energy Efficient
The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum overlapping. The goal of the CPP algorithms is to minimize the total covering path and execution time. Significant research has been done in robotics, particularly for multi-unmanned unmanned aerial vehicles (UAVs) cooperation and energy efficiency in CPP problems.
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  • 10 Feb 2022
Topic Review
List of Notable Security Hacking Incidents
The timeline of computer security hacker history covers important and noteworthy events in the history of security hacking and cracking.
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  • 25 Oct 2022
Topic Review
PDP-10
Digital Equipment Corporation (DEC)'s PDP-10, later marketed as the DECsystem-10, is a mainframe computer family manufactured beginning in 1966 and discontinued in 1983. 1970s models and beyond were marketed under the DECsystem-10 name, especially as the TOPS-10 operating system became widely used. The PDP-10's architecture is almost identical to that of DEC's earlier PDP-6, sharing the same 36-bit word length and slightly extending the instruction set (but with improved hardware implementation). Some aspects of the instruction set are unusual, most notably the byte instructions, which operate on bit fields of any size from 1 to 36 bits inclusive, according to the general definition of a byte as a contiguous sequence of a fixed number of bits. The PDP-10 was found in many university computing facilities and research labs during the 1970s, the most notable being Harvard University's Aiken Computation Laboratory, MIT's AI Lab and Project MAC, Stanford's SAIL, Computer Center Corporation (CCC), ETH (ZIR), and Carnegie Mellon University. Its main operating systems, TOPS-10 and TENEX, were used to build out the early ARPANET. For these reasons, the PDP-10 looms large in early hacker folklore. Projects to extend the PDP-10 line were eclipsed by the success of the unrelated VAX superminicomputer, and the cancellation of the PDP-10 line was announced in 1983. By late 1980 DEC reportedly had sold "about 1500 DECsystem-10s."
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  • 04 Nov 2022
Topic Review
Theoretical Background of Predictive Maintenance Models
Predictive Maintenance (PdM) is one of the most important applications of advanced data science in Industry 4.0, aiming to facilitate manufacturing processes. To build PdM models, sufficient data, such as condition monitoring and maintenance data of the industrial application, are required. Collecting maintenance data is complex and challenging as it requires human involvement and expertise. Due to time constraints, motivating workers to provide comprehensive labeled data is very challenging, and thus maintenance data are mostly incomplete or even completely missing. In addition to these aspects, a lot of condition monitoring data-sets exist, but only very few labeled small maintenance data-sets can be found.
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  • 13 May 2022
Topic Review
Blockchain Technology and Its Components
The Internet of Things (IoT) is a recent technology that uses smart connected systems to create a global network of physical devices that exchange and communicate data with each other. Blockchain is essentially a system for recording data that makes it much more difficult to change or hack. Blockchain uses a distributed networking system of machines that replicate and create a chain of data. This chain of data can be considered a ledger, with each of these becoming a block. This chain of data is turned into a block which is linked to the previous block creating a chain of blocks, hence the name blockchain.
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  • 23 Jun 2022
Topic Review
Multiple Traveling Salesperson Problems
Multiple traveling salesperson problems (mTSP) are a collection of problems that generalize the classical traveling salesperson problem (TSP). In a nutshell, an mTSP variant seeks a minimum-cost collection of m paths that visit all vertices of a given weighted complete graph. Conceptually, mTSP lies between TSP and vehicle routing problems (VRP).
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  • 20 Jul 2023
Topic Review
UCSC Genome Browser
The UCSC Genome Browser is an on-line, and downloadable, genome browser hosted by the University of California, Santa Cruz (UCSC). It is an interactive website offering access to genome sequence data from a variety of vertebrate and invertebrate species and major model organisms, integrated with a large collection of aligned annotations. The Browser is a graphical viewer optimized to support fast interactive performance and is an open-source, web-based tool suite built on top of a MySQL database for rapid visualization, examination, and querying of the data at many levels. The Genome Browser Database, browsing tools, downloadable data files, and documentation can all be found on the UCSC Genome Bioinformatics website.
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  • 09 Oct 2022
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