scholarly journals Forensic Microbiology, an Important Tool in Crime Investigation

2020 ◽  
pp. 33-38
Author(s):  
Ali Mohamed Elshafei
Keyword(s):  
Molecular Biology ◽  
Scientific Evidence ◽  
Modern Society ◽  
Rapid Identification ◽  
Significant Development ◽  
Crime Investigation ◽  
Forensic Microbiology ◽  
Forensic Scientists ◽  
Microbial Strain

Forensic science is the application of science to civil and criminal laws, also called as “criminalistics”. Its branches are rooted in every branch of science and many other aspects of modern society. Forensic scientists are responsible to analyze scientific evidence during the course of investigation either by travelling to the scene of the crime or by performing analysis on objects in the laboratory. Forensic microbiology is the science by which microorganisms ‘behaviors are used to determine the origin of a particular microbial strain, the path of an outbreak or the identity of a criminal. Recently there has been a significant development in forensic microbiology as a result of the significant development in molecular biology, microbiology and biochemistry sciences. It was found that the rapid identification and classification of infectious microorganisms are of great importance in the case of biological and microbial threat, and the analysis of the microbial genome sequence, whose cost has decreased significantly in recent years, greatly helps in this area.

Machine Learning Arrives in Archaeology

2021 ◽  
Vol 9 (2) ◽  
pp. 186-191
Author(s):  
Simon H. Bickler
Keyword(s):  
Machine Learning ◽  
Rapid Development ◽  
Rapid Identification ◽  
First Century ◽  
Traditional Methods ◽  
Archaeological Practice ◽  
The World ◽  
Archaeological Work ◽  
Archaeological Analysis

OverviewMachine learning (ML) is rapidly being adopted by archaeologists interested in analyzing a range of geospatial, material cultural, textual, natural, and artistic data. The algorithms are particularly suited toward rapid identification and classification of archaeological features and objects. The results of these new studies include identification of many new sites around the world and improved classification of large archaeological datasets. ML fits well with more traditional methods used in archaeological analysis, and it remains subject to both the benefits and difficulties of those approaches. Small datasets associated with archaeological work make ML vulnerable to hidden complexity, systemic bias, and high validation costs if not managed appropriately. ML's scalability, flexibility, and rapid development, however, make it an essential part of twenty-first-century archaeological practice. This review briefly describes what ML is, how it is being used in archaeology today, and where it might be used in the future for archaeological purposes.

scholarly journals Rapid Identification, Differentiation, and Proposed New Taxonomic Classification of Bifidobacterium lactis

2002 ◽  
Vol 68 (12) ◽  
pp. 6429-6434 ◽  
Author(s):  
Marco Ventura ◽  
Ralf Zink
Keyword(s):  
Pcr Primers ◽  
Rapid Identification ◽  
Molecular Techniques ◽  
Rrna Gene ◽  
Specific Detection ◽  
Bifidobacterium Lactis ◽  
Bifidobacterium Animalis ◽  
Subspecies Level ◽  
Internally Transcribed Spacer

ABSTRACT Identification of Bifidobacterium lactis and Bifidobacterium animalis is problematic because of phenotypic and genetic homogeneities and has raised the question of whether they belong to one unique taxon. Analysis of the 16S-23S internally transcribed spacer region of B. lactis DSM10140T, B. animalis ATCC 25527T, and six potential B. lactis strains suggested two distinct clusters. Two specific 16S-23S spacer rRNA gene-targeted primers have been developed for specific detection of B. animalis. All of the molecular techniques used (B. lactis or B. animalis PCR primers, enterobacterial repetitive intergenic consensus PCR) demonstrated that B. lactis and B. animalis form two main groups and suggest a revision of the strains assigned to B. animalis. We propose that B. lactis should be separated from B. animalis at the subspecies level.

Choosing a religion in the context of specificity of a religious experience

2020 ◽  
pp. 6-15
Author(s):  
V.Yu. Lebedev ◽  
A.L. Bezrukov
Keyword(s):  
Social Sciences ◽  
Religious Experience ◽  
Personal Experience ◽  
Modern Society ◽  
Religious Movements ◽  
New Religious Movements ◽  
Religious Groups

The paper considers the process of choosing religion in a modern society. Factors that affect the behavior of an individual in the process of choosing religion are considered in the light of religious, psychological and social sciences. The classification of religions is divided into two types: personal experience religions and dogmatic religions. A modern man's motivation to be a follower of new religious movements is considered using the examples of neoprotestant, neohindu and neopagan religious groups.

Internet of Things (IoT): Classification, Secured Architecture Based on Data Sensitivity, Security Issues and Their Countermeasures

2021 ◽  
Vol 20 (Supp01) ◽  
pp. 2140001
Author(s):  
Bremnavas Ismail Mohideen ◽  
Basem Assiri
Keyword(s):  
Internet Of Things ◽  
Pervasive Computing ◽  
Architecture Design ◽  
Iot Security ◽  
Significant Development ◽  
Security Issues ◽  
Physical Resources ◽  
Healthcare Monitoring ◽  
Data Sensitivity

In recent decades, the communication of electronic equipment and physical resources is combined. Internet of Things (IoT) distributes things widely in the network. The IoT is Internet-based pervasive computing, which created significant development in the recent disposition of IoT infrastructures. The IoT infrastructures lead, manage and generate large amounts of data across various applications including environmental, transportation and healthcare monitoring. In this regard, there are salient uncertainties about the use of security concepts that are frequently measured as a major concern of IoT distributed architecture design. This paper mainly focuses on the classification of IoT, novel architecture considering the sensitivity of data, IoT security layers, review of security issues and acclaimed countermeasures.

I Offend (you) – Parameters of Offense and Verbal Aggression in School

2021 ◽  
Vol 63 (3) ◽  
pp. 270-285
Author(s):  
Nadezhda Stalyanova ◽  
Keyword(s):  
Human Behavior ◽  
Modern Society ◽  
Verbal Aggression ◽  
Hostile Environment ◽  
Global Trends ◽  
Constructive Type ◽  
Asking Questions ◽  
The Individual ◽  
Type Of Behavior

The article examines the manifestations of verbal aggression among students and draws attention to one aspect of it – the insulting words as a component of aggressive human behavior. The study is based on surveys conducted in 19 schools across Bulgaria. A classification of offensive vocabulary has been made. The study registers global trends in modern society, asking questions to psychologists, teachers, sociologists, namely – can aggression be prevented, transformed into a constructive type of behavior, whether the individual could affect the hostile environment etc.

Tumors of the Central Nervous System

2013 ◽  
pp. 20-58
Author(s):  
Keith L. Ligon ◽  
Karima Mokhtari ◽  
Thomas W. Smith
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Molecular Biology ◽  
Tumor Type ◽  
Primary Tumors ◽  
System P ◽  
Precise Diagnosis ◽  
The Central Nervous System ◽  
Classification Of Tumors

This chapter presents the most up-to-date classification of tumors of the nervous system, based on the histological appearance of the neoplasm and also on information derived from cytogenetics and molecular biology, now recognized worldwide as increasingly important for more precise diagnosis, prognosis, and therapeutic guidance. The chapter provides a detailed morphologic description of each major tumor type, with numerous illustrations of macroscopic and microscopic lesions. First we consider primary tumors of the nervous system, including those derived from neuroepithelial tissue (astrocytic, oligodendroglial, ependymal, neuronal, and glioneuronal), pineal tissue, peripheral nerve sheath, and meninges. Next lymphomas, hematopoietic neoplasms, and secondary (metastatic) neoplasms are described.

scholarly journals Rapid identification of COVID-19 severity in CT scans through classification of deep features

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Zekuan Yu ◽  
Xiaohu Li ◽  
Haitao Sun ◽  
Jian Wang ◽  
Tongtong Zhao ◽  
...  
Keyword(s):  
Rapid Identification ◽  
Ct Scans
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