The Challenge of Designing Meaningful Information

2021 ◽  
pp. 67-87
Author(s):  
Yvonne Eriksson ◽  
Anna-Lena Carlsson
Keyword(s):  
Meaningful Information

THE PECULIARITIES OF CRIME PREVENTION BY OPERATIONAL UNITS IN PENAL INSTITUTIONS

2020 ◽  
pp. 27-32
Author(s):  
Ксения Ивановна Голубцова
Keyword(s):  
Crime Prevention ◽  
Complete Information ◽  
Current Situation ◽  
The Other ◽  
Correctional Institutions ◽  
Meaningful Information ◽  
Penal Institutions ◽  
The One ◽  
Negative Factors

Статья посвящена рассмотрению проблем профилактики преступлений оперативными подразделениями исправительных учреждений (далее - ИУ). Автор, раскрывая роль оперативных отделов ИУ в общей профилактике правонарушений, указывает на ее двоякость, поскольку, с одной стороны, рассматриваемые подразделения обладают значительным преимуществом перед другими службами учреждения в выявлении негативных факторов (негласный метод получения оперативно значимой информации), с другой стороны - далеко не все условия, которые способствуют совершению преступлений в ИУ, можно устранить оперативным путем. Изучение специальной литературы позволило выявить в деятельности начальников ИУ определенные проблемы, связанные с оценкой состояния оперативной обстановки в ИУ, сложившейся ситуации; с отсутствием прогноза развития криминогенной ситуации в ИУ, а также с профессиональной некомпетентностью руководителей, неумением объективно оценивать результаты деятельности структурных подразделений. Автор особое внимание уделяет анализу статистических данных о совершенных и предотвращенных преступлениях лицами, находящимися в местах лишения свободы. The article is devoted to the consideration of problems of crime prevention by operational units of correctional institutions (hereinafter referred to as IA). The author, revealing the role of the operational departments of the IA in the general prevention of offences, points to its twofold. On the one hand, the units under consideration have significant advantages over other services of the institution in identifying negative factors (these are tacit methods of obtaining promptly meaningful information). On the other hand, not all conditions conducive to the commission of crimes in IA can be eliminated by operational means: For example, shortcomings in the activities of other departments and services (security department, duty shift, etc.). The study of special literature has made it possible to identify problems in the activities of heads of correctional institutions in the sphere of implementation of solutions in case of lack of objective and complete information on the state of the operational situation in IA, the current situation, the results of the activities of structural subdivisions; No forecast of the development of the crime situation in IE; Professional incompetence of managers, inability to objectively assess the results of activities of structural subdivisions. The author pays particular attention to the analysis of statistics on crimes committed and prevented by persons in detention.

Environmental DNA for functional diversity

2018 ◽  
Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac
Keyword(s):  
Functional Groups ◽  
Functional Diversity ◽  
Environmental Dna ◽  
Soil Organisms ◽  
Meaningful Information ◽  
Dna Metabarcoding ◽  
Pros And Cons ◽  
Target Community

Chapter 10 “Environmental DNA for functional diversity” discusses the potential of environmental DNA to assess functional diversity. It first focuses on DNA metabarcoding and discusses the extent to which this approach can be used and/or optimized to retrieve meaningful information on the functions of the target community. This knowledge usually involves coarsely defined functional groups (e.g., woody, leguminous, graminoid plants; shredders or decomposer soil organisms; pathogenicity or decomposition role of certain microorganisms). Chapter 10 then introduces metagenomics and metatranscriptomics approaches, their advantages, but also the challenges and solutions to appropriately sampling, sequencing these complex DNA/RNA populations. Chapter 10 finally presents several strategies and software to analyze metagenomes/metatranscriptomes, and discusses their pros and cons.

scholarly journals General Unified Microbiome Profiling Pipeline (GUMPP) for Large Scale, Streamlined and Reproducible Analysis of Bacterial 16S rRNA Data to Predicted Microbial Metagenomes, Enzymatic Reactions and Metabolic Pathways

Metabolites ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 336
Author(s):  
Boštjan Murovec ◽  
Leon Deutsch ◽  
Blaž Stres
Keyword(s):  
16S Rrna ◽  
Metabolic Pathways ◽  
Large Scale ◽  
Enzymatic Reactions ◽  
Operational Taxonomic Units ◽  
Biochemical Pathways ◽  
Meaningful Information ◽  
Novel Biomarkers ◽  
Reproducible Analysis ◽  
Microbiome Profiling

General Unified Microbiome Profiling Pipeline (GUMPP) was developed for large scale, streamlined and reproducible analysis of bacterial 16S rRNA data and prediction of microbial metagenomes, enzymatic reactions and metabolic pathways from amplicon data. GUMPP workflow introduces reproducible data analyses at each of the three levels of resolution (genus; operational taxonomic units (OTUs); amplicon sequence variants (ASVs)). The ability to support reproducible analyses enables production of datasets that ultimately identify the biochemical pathways characteristic of disease pathology. These datasets coupled to biostatistics and mathematical approaches of machine learning can play a significant role in extraction of truly significant and meaningful information from a wide set of 16S rRNA datasets. The adoption of GUMPP in the gut-microbiota related research enables focusing on the generation of novel biomarkers that can lead to the development of mechanistic hypotheses applicable to the development of novel therapies in personalized medicine.

Information and mechanical models of intelligence

2005 ◽  
Vol 13 (3) ◽  
pp. 565-582 ◽  
Author(s):  
Maria Eunice Quilici Gonzalez
Keyword(s):  
Cognitive Science ◽  
Computer Simulations ◽  
Advanced Technology ◽  
Main Topic ◽  
Social Environments ◽  
Meaningful Information ◽  
Intelligent Behavior ◽  
Mechanical Models ◽  
The Mind ◽  
The Impact

The impact of new advanced technology on issues that concern meaningful information and its relation to studies of intelligence constitutes the main topic of the present paper. The advantages, disadvantages and implications of the synthetic methodology developed by cognitive scientists, according to which mechanical models of the mind, such as computer simulations or self-organizing robots, may provide good explanatory tools to investigate cognition, are discussed. A difficulty with this methodology is pointed out, namely the use of meaningless information to explain intelligent behavior that incorporates meaningful information. In this context, it is inquired what are the contributions of cognitive science to contemporary studies of intelligent behavior and how technology may play a role in the analysis of the relationships established by organisms in their natural and social environments.

The Palatal Closure Efficiency Index: A New Speaker-Centered Aerodynamic Metric for the Evaluation of Velopharyngeal Function During Speech

2021 ◽  
Vol 6 (2) ◽  
pp. 368-374
Author(s):  
David J. Zajac ◽  
Juliana Powell ◽  
Laura Perotta
Keyword(s):  
Treatment Outcome ◽  
Speech Production ◽  
Efficiency Index ◽  
Gap Size ◽  
Pressure Flow ◽  
Meaningful Information ◽  
Nasal Consonant ◽  
Velopharyngeal Function

Purpose Pressure-flow testing provides clinicians with estimates of velopharyngeal (VP) gap size during speech production. Traditionally, adequacy of VP function has been based on absolute area criteria. This clinical focus article provides a brief overview of pressure-flow testing and introduces the palatal closure efficiency index, a speaker-centered metric to interpret findings. Conclusions The palatal closure efficiency index provides information on a speaker's ability to achieve VP closure during oral plosives relative to his/her own VP opening during a nasal consonant. This approach provides both clinicians and patients with more meaningful information to interpret pressure-flow findings for both diagnostic and treatment outcome purposes.

The Snow Ski as a Dynamic System

1972 ◽  
Vol 94 (2) ◽  
pp. 133-138 ◽  
Author(s):  
R. L. Piziali ◽  
C. D. Mote
Keyword(s):  
Dynamic System ◽  
Laboratory Testing ◽  
Research Laboratory ◽  
Field Measurements ◽  
Static System ◽  
Testing Procedures ◽  
Future Design ◽  
Meaningful Information ◽  
Physical Information ◽  
System Characteristics

Paper reports research on dynamic system characteristics of snow skis. Laboratory and field measurements of frequency response, running surface pressure excitation, and static system characteristics are intended to provide a data base of physical information to guide future design and research. Laboratory testing procedures used give meaningful information for “straight running” but not for “turning.” In general, the turning and straight running maneuvers must be examined independently. This paper summarizes the general research observations with a minimum of detail included.

Analysis of Older Users’ Perceived Requests and Opportunities with Technologies

2011 ◽  
Vol 3 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Mari Feli Gonzalez ◽  
David Facal ◽  
Ana Belen Navarro ◽  
Arjan Geven ◽  
Manfred Tscheligi ◽  
...  
Keyword(s):  
Focus Groups ◽  
Real Life ◽  
Integrated Approach ◽  
Active Aging ◽  
Meaningful Information ◽  
Pervasive Technology ◽  
Cognitive Assistance ◽  
Older Users ◽  
Elderly Users ◽  
The Way

The HERMES Cognitive Care and Guidance for Active Aging project proposes an integrated approach to cognitive assistance, promoting the autonomy of elderly users through pervasive technology. This work aims to describe elderly people’s opinions when they are presented scenarios developed in this project. Two focus groups were organized in Austria and Spain with a view to collecting their impressions about the way in which the technological device can cover their needs; complementarily, a second session was conducted including a quantitative questionnaire. Although some participants were reluctant to use the technology, they welcomed some functionalities of the HERMES system and they considered that using them can help them to become familiar with them. Usefulness, usability, and use of real-life information for functionalities such as cognitive games are considered to be key areas of the project. This evaluation has provided the developers of the system with meaningful information to improve it and it guarantees that the system addresses elderly people’s needs.

Sequential Multiple-Assignment Randomized Trials: Developing and Evaluating Adaptive Interventions in Special Education

2018 ◽  
Vol 40 (5) ◽  
pp. 267-276 ◽  
Author(s):  
Jason C. Chow ◽  
Lauren H. Hampton
Keyword(s):  
Special Education ◽  
Individual Differences ◽  
Educational Outcomes ◽  
Randomized Trials ◽  
Sufficient Evidence ◽  
Adaptive Intervention ◽  
Meaningful Information ◽  
Adaptive Interventions ◽  
Multiple Assignment ◽  
Individual Variables

Interventions often require multiple decisions to improve outcomes for every student. Whether the decision to implement a practice, tailor an existing protocol, or change approaches, these decisions should be based on individual variables and outcomes via a sequence of treatment. To develop adaptive interventions that have sufficient evidence to support decisions, components, and sequences, they must be evaluated as they operate. The sequential multiple-assignment randomized trial is a design that experimentally assesses the efficacy of the decisions, components, and sequence of an adaptive intervention. The purpose of this article is to provide an overview of this novel methodology and describe how this design can provide meaningful information about components and sequence based on individual differences and response to maximize educational outcomes in special education.

scholarly journals Predicting Academic Course Preference using Hadoop

2019 ◽  
Vol 8 (4) ◽  
pp. 2527-2530
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
New Technologies ◽  
Parallel Applications ◽  
Distributed File System ◽  
Industrial Training ◽  
Effective Learning ◽  
Meaningful Information ◽  
Learning Techniques ◽  
Mining Tools

These days new technologies have been introduced by this new academic trends also have been came into existence into the education system. And this leads to huge amounts of data which makes a big challenge for the students to store the preferred course. For this many data mining tools have been invented to convert the unregulated data into structured format to understand the meaningful information. As we know that Hadoop is a distributed file system which is used to hold huge amounts of data this stores the files in a redundant fashion across multiple machines. Due to this it leads to failure and parallel applications do not work. To avoid this problem we are using Mapreduce for decision making of students in order to choose their preferred course for industrial training purpose for their effective learning techniques to increase their knowledge and capability.

scholarly journals News Classification Using Machine Learning

2021 ◽  
Vol 9 (5) ◽  
pp. 23-27
Author(s):  
SHWETA MAHAJAN
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Performance Improvement ◽  
Vital Role ◽  
Learning Approach ◽  
Entertainment Education ◽  
Meaningful Information ◽  
Textual Data ◽  
Machine Learning Approach

There are plenty of social media webpages and platforms producing the textual data. These different kind of a data needs to be analysed and processed to extract meaningful information from raw data. Classification of text plays a vital role in extraction of useful information along with summarization, text retrieval. In our work we have considered the problem of news classification using machine learning approach. Currently we have a news related dataset which having various types of data like entertainment, education, sports, politics, etc. On this data we have applying classification algorithm with some word vectorizing techniques in order to get best result. The results which we got that have been compared on different parameters like Precision, Recall, F1 Score, accuracy for performance improvement.

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