Analysis of Computer Malware and Common Attacks

2020 ◽  
Vol 9 (2) ◽  
pp. 38-45
Author(s):  
Andreea-Ioana FRĂȚILĂ
Keyword(s):  
Technological Evolution ◽  
Different Types ◽  
Controlled Environments ◽  
Tools And Techniques ◽  
Security Organizations

Technological evolution comes the progress of cybercrime, which continually develops new attack types, tools and techniques that allow attackers to penetrate more complex or well-controlled environments and produce increased damage and even remain untraceable. This paper provides in two different chapters an overview of techniques for analyzing, classifying the malware and different attack types and presents measures that each company must implement in order to ensure security. Organizations need to understand and protect themselves from many different types of threat actors, so it is valuable to know a little about them, their attributes, and the types of attacks they are likely to launch.

Characterization of microneedles and microchannels for enhanced transdermal drug delivery

2021 ◽  
Author(s):  
Ashana Puri ◽  
Hiep X Nguyen ◽  
Akeemat O Tijani ◽  
Ajay K Banga
Keyword(s):  
Transdermal Delivery ◽  
Transdermal Drug Delivery ◽  
Review Paper ◽  
Low Molecular Weight ◽  
Kinetic Properties ◽  
Different Types ◽  
And Performance ◽  
Tools And Techniques

Microneedle (MN)-based technologies are currently one of the most innovative approaches that are being extensively investigated for transdermal delivery of low molecular weight drugs, biotherapeutic agents and vaccines. Extensive research reports, describing the fabrication and applications of different types of MNs, can be readily found in the literature. Effective characterization tools to evaluate the quality and performance of the MNs as well as for determination of the dimensional and kinetic properties of the microchannels created in the skin, are an essential and critical part of MN-based research. This review paper provides a comprehensive account of all such tools and techniques.

scholarly journals La evolución de la bóveda maya a través de la forma de las dovelas

2020 ◽  
Vol 55 ◽  
pp. 65-87
Author(s):  
Laura Gilabert Sansalvador
Keyword(s):  
Comparative Analysis ◽  
Temporal Evolution ◽  
Technological Evolution ◽  
Key Factors ◽  
Technical Developments ◽  
Maya Architecture ◽  
Different Types

Over more than ten centuries, Maya vaults had great technical developments that allowed to achieve constructive and structural advanced systems and increasingly improved forms. One of the key factors to consider when studying its temporal evolution and the different regional variants is the stone vaults shape. This work is based on data collected during fieldwork and comparative analysis of a wide sample of vaults from different geographical zones and chronological periods, and as a result proposes a classification of the Maya stone vaults. The study of the influence of stereotomy on its form and the analysis of the use of different types of stone vaults by zones offer new data to understand the technological evolution of vaulted Maya architecture and the transfers of building knowledge.

scholarly journals Identification and Development of Indicators and Tools to Measure Various kinds of Impacts of Tourism

2020 ◽  
Vol 8 (5) ◽  
pp. 3168-3175
Keyword(s):  
Local Community ◽  
Multiple Impacts ◽  
Comparative Result ◽  
Tourism Impacts ◽  
Different Types ◽  
Worldwide Phenomenon ◽  
Tourism Activity ◽  
Tools And Techniques ◽  
Different Characteristics ◽  
Different Parts

Tourism activity is a worldwide phenomenon. It has experienced continued growth over the decades. It has become one of the fastest-developing economic segments. The initiatives of tourism development have an impact on people, local businesses, and the environment. Along with its innumerable positive impacts, it also poses various threats to the local communities. Impacts of tourism have been reviewed from literature and categorized into different categories in this study. Measurement of these impacts helps the planners to manage tourism optimally. It can be done with the aid of indicators. In order to measure these impacts, various tools have evolved from time to time in different parts of the world. The present study explores the potential measuring tools and techniques for different tourism developments, which will enable planners to prepare a framework for the measurement of the impacts of tourism. The purpose and applications of various tools are also identified. The research concludes that different types of tourism have different characteristics. Although it is a challenge to measure qualitative and multiple impacts, there are means to measure these impacts for its comparison. Likert scale is one of the useful tools to measure and compare qualitative as well as quantitative impacts of tourism together. A comparative result is helpful for planners and policymakers to prepare regulatory provisions to intensify tourism impacts positively on the local community.

scholarly journals EXERCISE OF MACHINE LEARNING USING SOME PYTHON TOOLS AND TECHNIQUES

2018 ◽  
Vol 6 ◽  
pp. 1062-1070
Author(s):  
Ertan Mustafa Geldiev ◽  
Nayden Valkov Nenkov ◽  
Mariana Mateeva Petrova
Keyword(s):  
Machine Learning ◽  
Prediction Model ◽  
Computer Program ◽  
Predictive Analytics ◽  
Search Model ◽  
Accurate Model ◽  
Different Types ◽  
The Right ◽  
Tools And Techniques ◽  
Complex Computer

One of the goals of predictive analytics training using Python tools is to create a "Model" from classified examples that classifies new examples from a Dataset. The purpose of different strategies and experiments is to create a more accurate prediction model. The goals we set out in the study are to achieve successive steps to find an accurate model for a dataset and preserving it for its subsequent use using the python instruments. Once we have found the right model, we save it and load it later, to classify if we have "phishing" in our case. In the case that the path we reach to the discovery of the search model, we can ask ourselves how much we can automate everything and whether a computer program can be written to automatically go through the unified steps and to find the right model? Due to the fact that the steps for finding the exact model are often unified and repetitive for different types of data, we have offered a hypothetical algorithm that could write a complex computer program searching for a model, for example when we have a classification task. This algorithm is rather directional and does not claim to be all-encompassing. The research explores some features of Python Scientific Python Packages like Numpy, Pandas, Matplotlib, Scipy and scycit-learn to create a more accurate model. The Dataset used for the research was downloaded free from the UCI Machine Learning Repository (UCI Machine Learning Repository, 2017).

scholarly journals Birds and bovids: new parietal engravings at the Romanelli Cave, Apulia

Antiquity ◽  
2021 ◽  
pp. 1-18
Author(s):  
Dario Sigari ◽  
Ilaria Mazzini ◽  
Jacopo Conti ◽  
Luca Forti ◽  
Giuseppe Lembo ◽  
...  
Keyword(s):  
Reference Point ◽  
Radiocarbon Dating ◽  
Systematic Investigation ◽  
Upper Palaeolithic ◽  
Different Types ◽  
Western Eurasia ◽  
Tools And Techniques ◽  
Selection Of ◽  
Palaeolithic Art ◽  
Portable Art

ABSTRACT The Romanelli Cave in south-east Italy is an important reference point for the so-called ‘Mediterranean province’ of European Upper Palaeolithic art. Yet, the site has only recently been subject to a systematic investigation of its parietal and portable art. Starting in 2016, a project has recorded the cave's interior, discovering new parietal art. Here, the authors report on a selection of panels, featuring animal figures, geometric motifs and other marks, identifying the use of different types of tools and techniques, along with several activity phases. These panels are discussed with reference to radiocarbon dating of nearby deposits, posing questions about chronology, technology and wider connections between Upper Palaeolithic cave sites across western Eurasia.

scholarly journals Market Entry Pattern And Timing In An Industry With Technological Evolution: The Liquid Crystal Display Industry

2010 ◽  
Vol 9 (3) ◽  
Author(s):  
Michiko Miyamoto
Keyword(s):  
Liquid Crystal Display ◽  
Standard Form ◽  
The Other ◽  
Company Size ◽  
Technological Evolution ◽  
Strategic Decisions ◽  
Early Entry ◽  
Late Entry ◽  
Different Types ◽  
Established Firms

This paper examines whether the process of entering the market, as well as industry-specialized assets and positioning in the applied technologies should differ between early entrants and late entrants in the LCD industry, where the industry evolves and provides different types of displays and where LCD technologies have become major parts of new applied product generations.  The study also investigates whether all firms follow the same strategic decisions upon entering the market when they enter at similar times, whether early or late.  According to the findings, early entry into the LCD industry is positively related to experience in the LCD related R&D activities.  As accumulated outputs are regarded as a measure implied by the standard form of the learning curve, this is consistent with prior studies on first-movers.  Patents most likely protect their technological advantages.  Large-capital late entry into the LCD industry is positively related to company size as these firms have excess capital to spend on R&D.  The late entrants are established firms in their core industries; possess related assets or excess capacities that enable them to enter into the LCD market.  On the other hand, smaller-capital late entrants into the LCD industry have no accumulated R&D activities or production of applied products, which implies that they are free riding off of early entrants’ investment.

What’s the Problem?

Reset ◽  
2020 ◽  
pp. 3-18
Author(s):  
Robert Aunger
Keyword(s):  
Public Health ◽  
Behavior Change ◽  
Evolutionary Psychology ◽  
Health Problems ◽  
Current Situation ◽  
Learning Problems ◽  
Technological Evolution ◽  
Different Types ◽  
Mismatch Hypothesis

The first chapter sets up the current situation: why is behavior change considered hard, and what do people recommend be done? I present a novel perspective on public health problems, arguing that they all derive from inabilities to learn appropriate responses due to recent changes to the environments in which we live that have occurred through technological evolution. This is a “mismatch” hypothesis common in evolutionary psychology applied to behavior change. Different types of mismatch occur between particular structures of public health problems (as learning problems). This is actually a theory of public health—why certain kinds of health problems arise in the first place.

scholarly journals Speech Therapy Intervention With Armenian-Speaking Children Having Sounds Pronunciation Disorders

2020 ◽  
Vol 1 (1) ◽  
pp. 52-66
Author(s):  
Geghecik Grigoryan ◽  
Gohar Hovyan
Keyword(s):  
General Education ◽  
Speech Therapy ◽  
Native Language ◽  
Speech Disorders ◽  
School Students ◽  
Different Types ◽  
Pedagogical Research ◽  
Tools And Techniques ◽  
Therapy Intervention

The purpose of this study is to present the peculiarities of speech therapy intervention with children with dyslalia and to analyze the specific patterns of Armenian speaking children sound pronunciation and speech perception, speech therapy conditions for overcoming speech problems, the relevance of teaching methods in the process of formation of pronunciation functions, which will contribute to the improvement of dyslalia under the application of appropriate methodic. The methods of studying and analyzing the leading pedagogical experience of the teachers and speech therapists has been investigated within the frame of this research pedagogues and teachers, as well as the methods of psycho-pedagogical research: observation, conversation, inquiry were used. Different types of dyslalia, peculiarities of the speech therapy process, the rules of professional practice through the way of presentation and analysis of private cases, has been observed and analyzed, for exact determination of the direction and extent of speech therapy intervention in accordance with preventive interventions. Scientific justification of the appropriate methodological requirements, tools, and techniques used in the process of overcoming speech disorders of Armenian-speaking children is more effective if the speech therapy prevention techniques are used on early stages, as well as the methods of correcting dyslalia in accordance with the rules of Native language teaching enable effective speech therapy work in general education. This kind of systematic approach enables accounting the unique regularities of the Native language (in this case, the Armenian language); identify, evaluate, and coordinate sound pronancation disorders of mainstream school students; to implement the process of ontervention for overcoming speech problems of children with speech disorders.

scholarly journals PROLONGED GASTROESOPHAGEAL REFLUX MONITORING BY IMPEDANCE-PHMETRY: A REVIEW OF THE SUBJECT PONDERED WITH OUR EXPERIENCE WITH 1,200 CASES

2018 ◽  
Vol 55 (suppl 1) ◽  
pp. 76-84 ◽  
Author(s):  
Ary NASI ◽  
Natália Sousa Freitas QUEIROZ ◽  
Nelson H MICHELSOHN
Keyword(s):  
Gastroesophageal Reflux ◽  
Current Knowledge ◽  
Ph Monitoring ◽  
Technological Evolution ◽  
Careful Evaluation ◽  
Atypical Symptoms ◽  
Primary Peristalsis ◽  
Different Types ◽  
The Subject ◽  
Work Up

ABSTRACT BACKGROUND: Prolonged monitoring increased our knowledge on gastroesophageal reflux (GER), and the disease became known as gastroesophageal reflux disease (GERD). Prolonged reflux monitoring permits the diagnosis of GERD when endoscopic findings are not enough to characterize it. OBJECTIVE: The objective of this paper is to review the current knowledge on impedance-pH monitoring, taking into account the published literature and the authors experience with 1,200 exams. METHODS: The different types of prolonged reflux monitoring, namely: conventional pHmetry, catheter-free pHmetry and impedance-pHmetry will be briefly described. The new possibilities of evaluation with impedance-pHmetry are emphasized, namely: the study of symptomatic patients in use of proton pump inhibitors (PPIs); evaluation of patients with symptoms suggestive of GERD although with normal endoscopy and normal pHmetry, diagnostic elucidation of patients with atypical symptoms or supra-esophageal symptoms, mainly chronic cough, study of patients complaining of belch, differentiating gastric and supra-gastric belching, and the proper work-up before anti-reflux surgery. RESULTS: When impedance was associated to pH monitoring, an impressive technological evolution became apparent, when compared to pH monitoring alone. The main advantages of impedance-pHmetry are: the ability to detect all types of reflux: acid, non-acid, liquid, gaseous. In addition, other important measurements can be made: the ability of the esophagus in transporting the bolus, the measurement of basal mucosal impedance and the evaluation of primary peristalsis post reflux. CONCLUSION: Impedance-pHmetry is a promising method, with great advantages over conventional pHmetry. The choice between these two types of monitoring should be very judicious. The authors suggest the importance of careful evaluation of each reflux episode by the physician responsible for the examination, necessary for the correct interpretation of the tracings.

scholarly journals Big Data Tools and Techniques: A Roadmap for Predictive Analytics

2019 ◽  
Vol 9 (2) ◽  
pp. 4986-4992
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Predictive Analytics ◽  
Big Data Analytics ◽  
File Systems ◽  
Apache Hadoop ◽  
Video Images ◽  
Different Types ◽  
Tools And Techniques ◽  
Apache Storm

Nowadays, large volume of data is generated in the form of text, voice, video, images and sound. It is very challenging job to handle and to get process these different types of data. It is very laborious process to analysis big data by using the traditional data processing applications. Due to huge scattered file systems, a big data analysis is a difficult task. So, to analyses the big data, a number of tools and techniques are required. Some of the techniques of data mining are used to analyze the big data such as clustering, prediction, and classification and decision tree etc. Apache Hadoop, Apache spark, Apache Storm, MongoDB, NOSQL, HPCC are the tools used to handle big data. This paper presents a review and comparative study of these tools and techniques which are basically used for Big Data analytics. A brief summary of tools and techniques is represented here.

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