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This document provides guidance on finding sources that are older or newer than an existing source. It explains that a citation index tracks which sources cite which other sources, and several databases point to this citation index information. The document advises that to find older sources, see the list of references, and to find newer sources, see the citation index.
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Direction in time
This document provides guidance on finding sources that are older or newer than an existing source. It explains that a citation index tracks which sources cite which other sources, and several databases include citation index information. The document advises that to find older sources, one should see the list of references in the existing source, while to find newer sources one should see the citation index for the existing source.
Controlled vocab training
Controlled vocabularies are used in databases to represent subject information consistently across articles. Databases provide thesauruses or indexes of controlled terms for users to find the vocabulary for their topic. When finished viewing this material, close the tab and return to the Decision-based Learning tab.
Leveraging articles
Sources contain information that can be used to find other relevant sources through searching the same terms in other databases, checking the source's list of references for other cited sources, and looking at keywords in the abstract, title, or full text. Each source is also linked to newer or older sources through citation indexes that track which sources reference which other sources. These existing links and information within a source can be leveraged to discover related material.
Leveraging articles
This slideshow is part of a Decision-based Learning module for Information Literacy. The information is not intended to stand on its own.
Types of sources
Peer-reviewed journals can be identified by searching Ulrichsweb or checking the publication's website for information about their peer review process. Conference articles found in proceedings may contain more current information than journal articles but are typically not reviewed to the same extent. Other sources like books, theses, dissertations, reports and patents can be identified from their search record but are generally not considered peer-reviewed.
When to stop searching
There are no definitive rules for when to end a literature review. A comprehensive review should include all sources that meet the search criteria or allow further criteria to be applied to determine which sources receive analysis. A review identifying significant contributions should cover highly cited works and recent, unique or impactful works. A review framing new research should represent all key issues influencing the new work. Repeating themes in the literature means the breadth of knowledge has been covered. Researchers should continue scanning for new contributions over their work's duration by setting up automated search queries with database providers.
Purpose of lit review
This document defines literature reviews and outlines their common purposes and products. It discusses two major divisions of literature reviews - those that introduce original research, and those that only collect and summarize existing literature. For the second type, the four most common products are comprehensive assessments of a knowledge domain, quantitative/qualitative assessments of current research, summaries of other reviews, and critical reviews. The intent and desired end product determines how comprehensive the literature review should be.
Purpose of lit review
Literature reviews have specific purposes and end products depending on their type. There are two major types: those that introduce or frame original research, and those that only collect and summarize existing literature. Common products of summarizing reviews include comprehensive assessments of a knowledge domain, quantitative/qualitative assessments of current research through sampling or examining all literature, summaries of other reviews to synthesize information, and critical reviews of influential sources. The intent and end product of the review determines how comprehensive the literature search should be.
Recommended
Direction in time
This document provides guidance on finding sources that are older or newer than an existing source. It explains that a citation index tracks which sources cite which other sources, and several databases include citation index information. The document advises that to find older sources, one should see the list of references in the existing source, while to find newer sources one should see the citation index for the existing source.
Controlled vocab training
Controlled vocabularies are used in databases to represent subject information consistently across articles. Databases provide thesauruses or indexes of controlled terms for users to find the vocabulary for their topic. When finished viewing this material, close the tab and return to the Decision-based Learning tab.
Leveraging articles
Sources contain information that can be used to find other relevant sources through searching the same terms in other databases, checking the source's list of references for other cited sources, and looking at keywords in the abstract, title, or full text. Each source is also linked to newer or older sources through citation indexes that track which sources reference which other sources. These existing links and information within a source can be leveraged to discover related material.
Leveraging articles
This slideshow is part of a Decision-based Learning module for Information Literacy. The information is not intended to stand on its own.
Types of sources
Peer-reviewed journals can be identified by searching Ulrichsweb or checking the publication's website for information about their peer review process. Conference articles found in proceedings may contain more current information than journal articles but are typically not reviewed to the same extent. Other sources like books, theses, dissertations, reports and patents can be identified from their search record but are generally not considered peer-reviewed.
When to stop searching
There are no definitive rules for when to end a literature review. A comprehensive review should include all sources that meet the search criteria or allow further criteria to be applied to determine which sources receive analysis. A review identifying significant contributions should cover highly cited works and recent, unique or impactful works. A review framing new research should represent all key issues influencing the new work. Repeating themes in the literature means the breadth of knowledge has been covered. Researchers should continue scanning for new contributions over their work's duration by setting up automated search queries with database providers.
Purpose of lit review
This document defines literature reviews and outlines their common purposes and products. It discusses two major divisions of literature reviews - those that introduce original research, and those that only collect and summarize existing literature. For the second type, the four most common products are comprehensive assessments of a knowledge domain, quantitative/qualitative assessments of current research, summaries of other reviews, and critical reviews. The intent and desired end product determines how comprehensive the literature review should be.
Purpose of lit review
Literature reviews have specific purposes and end products depending on their type. There are two major types: those that introduce or frame original research, and those that only collect and summarize existing literature. Common products of summarizing reviews include comprehensive assessments of a knowledge domain, quantitative/qualitative assessments of current research through sampling or examining all literature, summaries of other reviews to synthesize information, and critical reviews of influential sources. The intent and end product of the review determines how comprehensive the literature search should be.
Relevance vs Utility
This document discusses how to judge the relevance of information based on its utility. Relevance refers to how well an item meets an information need and depends on its relationship to the topic and practical application. Relevance is often a matter of degree rather than binary. To determine relevance, one must understand the purpose of the information search. Ultimately, for information to be relevant it must be useful - it must add new information not already known. Information from other domains can also be relevant if it helps solve a problem in one's own domain.
Relevance vs credibility
Credibility is an important factor in determining the relevance of information to an information need. To judge credibility, researchers should consider the author's credentials, the publication process such as peer review, and how the knowledge community has responded to the work. Several sources can provide information to assess credibility, such as details about peer review in a database record, information on journals from Ulrichsweb, and metrics on the prestige of the publishing journal. Sections within articles like the methods, results, and conclusions can also provide insight into credibility. Ultimately, individual researchers must make their own judgment about whether a work is credible enough to be relevant for their specific information need.
Relevance vs Subject
This document discusses judging the relevance of information based on its subject. It defines relevance as how well an item meets an information need. Relevance is determined on a degree, not a binary scale. Information can fall into three zones of relevance - the specific subject domain, broad subject domain, or outside the domain but still tangentially related. When assessing relevance, one should understand their information need and scan different parts of research articles like the abstract, keywords, background, and conclusions to determine the subjects discussed. Database records and paper sections like the abstract and keywords can help identify the topics covered.
Relevance vs Info Needs
This document discusses judging the relevance of information based on information needs. It defines relevance as how well an item meets an information need, which can be a matter of degree rather than binary. When judging relevance, one must understand the purpose of the information search. There are many types of reviews with different purposes that affect what is considered relevant. Systematic reviews take an exhaustive look at literature, critical reviews focus on influential sources, and literature reviews for research papers select sources that frame the research. The relevance of articles depends on the objective of the specific review.
Similarity of sources
This document discusses two techniques for finding relevant articles: searching for similar articles based on references from an initial article, or searching based on subject words if no initial articles have been identified yet. Searching for similar articles utilizes the references and information from an article that has already been found to locate related articles, while searching based on subject words relies on descriptive terms when no initial articles are available as a starting point.
Database information domains
Library databases collect and index information on defined subject areas, with some overlap between databases. Each database represents a subset of journals focused on a specific information need. To determine the best database to search, categorize your topic into broad subject areas like general/cross-disciplinary, general science education, or engineering & technology as a starting point, then search multiple databases as needed to find the required information.
Leveraging articles
Each source references other related sources, creating a network that can be followed forward or backward in time to find additional relevant information. Useful information like keywords, subject terms, related documents, and authors from a known source can also be leveraged to discover other related sources. This document discusses how existing sources can be used to find new sources by following citation links between documents and utilizing metadata like titles and authors.
Type of database searches
Searching a database can be done in different ways:
1) Searching for works by a specific author or institution looks for all records containing that author or institution. This provides a narrow search focused on one entity.
2) Searching for sources about a known topic uses what is already known about the topic to find additional publications on that topic. The topic is defined with some level of detail.
3) Both author/institution searches and topic searches may find sources that were previously unknown or found, depending on the search terms and database searched.
Specific needs
This document defines two types of information needs based on specificity: searching for a known reference where the publication details are already known, and searching for sources that meet certain criteria where the topic is defined but specific publications are unknown. It provides examples of each, such as finding a specific published article with a known title and authors, or finding any articles on a general topic like coordinated control of UAVs.
Topic specificity
The document discusses topic specificity for research, noting that while a perfectly defined topic is not necessary to begin searching, a well-defined topic allows for more efficient searching. It recommends thinking of a topic as a focused area of interest within a broader domain and provides examples of poorly defined, broadly defined, and narrowly defined research topics, with autonomous vehicles, autonomous UAVs, and image recognition algorithms for vision systems in autonomous UAVs as examples ranging from broad to narrow.
Strategies concept block
Concept blocking is a search strategy that breaks topics down into major concepts represented by search terms. Each concept is described with synonyms to capture alternative wordings. The search strings combine the concepts with Boolean operators - using AND between concepts and OR between synonyms. This intuitive approach represents the intersection of knowledge domains that comprise topics. An example breaks down the topic of coordinated control of UAVs into search terms for unmanned aerial vehicles, control/automation, and coordination/cooperation.
Currency
This document discusses how to determine the currency, or recency, of information sources. It notes that what is considered current depends on how rapidly the field is changing, with articles about new materials potentially remaining current for 5 years while those on additive manufacturing may date quickly. It also explains that different source types, like newspapers, conference papers, journal articles, and books, cover events and research at different points along the information cycle, from immediate coverage to discussion years later.
Strategies concept block subject terms
This document discusses concept blocking strategy, an intuitive method for searching topics that breaks them down into major concepts represented by search terms. It recommends using subject terms from databases and considering related terms from thesauri to broaden searches. Search strings should use AND between concepts to narrow the topic and OR between similar terms, while removing concepts broadens the topic. An example search string is provided to coordinate control of unmanned aerial vehicles using subject terms from Compendex.
Strategies successive fractions
This document describes the successive fractions strategy for searching, where a searcher starts with a broad search term related to their topic of interest. They then review the results to identify more specific ideas or topics to refine the search with, adding these additional terms with Boolean AND operators. An example is provided where a searcher starts with a search on "UAV" or "drone", then examines results to add a second search term like "control" or "coordination" to narrow the results. The strategy aims to iteratively refine the search through multiple steps until a manageable number of relevant results are obtained.
Database selection citation indexes
Web of Science and Scopus are citation indexes that provide access to articles in the broad sciences and assist researchers by tracking who cites whom in their articles. Citation indexes allow researchers to find a known article and then click "Cited by" to get a list of articles that have cited the original article.
Subject terms
Subject terms, also known as controlled vocabulary, are special words used by databases to describe what an article is about. Using subject terms allows for a precise search, as the selected terms do not need to be explicitly stated in an article's text. To perform a subject search, you must know the specific terms used by the database. Reviewing subject terms from previous relevant articles found in that database can help identify appropriate search terms, as controlled vocabularies vary between databases.
Database selection google scholar citation
Google Scholar uses web crawlers to link citations together across a broad range of sources on the internet, providing a very comprehensive set of scholarly search results. It tracks citations to articles and papers, allowing users to see which works cite a particular publication. Google Scholar searches a wide variety of academic publications without requiring users to sign in or pay for access.
Types of sources
There are several types of sources that can provide information, with peer-reviewed journals being the most authoritative due to a rigorous review process either through an online database or publication website. Conference articles are typically not reviewed to the same degree as journals but can contain more recent findings, while books, theses, reports and patents are not usually peer-reviewed but may still offer relevant information.
Type of database searches
This slideshow is part of a Decision-based Learning module for Information Literacy. The information is not intended to stand on its own.
Topic specificity
This slideshow is part of a Decision-based Learning module for Information Literacy. The information is not intended to stand on its own.
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Relevance vs Utility
This document discusses how to judge the relevance of information based on its utility. Relevance refers to how well an item meets an information need and depends on its relationship to the topic and practical application. Relevance is often a matter of degree rather than binary. To determine relevance, one must understand the purpose of the information search. Ultimately, for information to be relevant it must be useful - it must add new information not already known. Information from other domains can also be relevant if it helps solve a problem in one's own domain.
Relevance vs credibility
Credibility is an important factor in determining the relevance of information to an information need. To judge credibility, researchers should consider the author's credentials, the publication process such as peer review, and how the knowledge community has responded to the work. Several sources can provide information to assess credibility, such as details about peer review in a database record, information on journals from Ulrichsweb, and metrics on the prestige of the publishing journal. Sections within articles like the methods, results, and conclusions can also provide insight into credibility. Ultimately, individual researchers must make their own judgment about whether a work is credible enough to be relevant for their specific information need.
Relevance vs Subject
This document discusses judging the relevance of information based on its subject. It defines relevance as how well an item meets an information need. Relevance is determined on a degree, not a binary scale. Information can fall into three zones of relevance - the specific subject domain, broad subject domain, or outside the domain but still tangentially related. When assessing relevance, one should understand their information need and scan different parts of research articles like the abstract, keywords, background, and conclusions to determine the subjects discussed. Database records and paper sections like the abstract and keywords can help identify the topics covered.
Relevance vs Info Needs
This document discusses judging the relevance of information based on information needs. It defines relevance as how well an item meets an information need, which can be a matter of degree rather than binary. When judging relevance, one must understand the purpose of the information search. There are many types of reviews with different purposes that affect what is considered relevant. Systematic reviews take an exhaustive look at literature, critical reviews focus on influential sources, and literature reviews for research papers select sources that frame the research. The relevance of articles depends on the objective of the specific review.
Similarity of sources
This document discusses two techniques for finding relevant articles: searching for similar articles based on references from an initial article, or searching based on subject words if no initial articles have been identified yet. Searching for similar articles utilizes the references and information from an article that has already been found to locate related articles, while searching based on subject words relies on descriptive terms when no initial articles are available as a starting point.
Database information domains
Library databases collect and index information on defined subject areas, with some overlap between databases. Each database represents a subset of journals focused on a specific information need. To determine the best database to search, categorize your topic into broad subject areas like general/cross-disciplinary, general science education, or engineering & technology as a starting point, then search multiple databases as needed to find the required information.
Leveraging articles
Each source references other related sources, creating a network that can be followed forward or backward in time to find additional relevant information. Useful information like keywords, subject terms, related documents, and authors from a known source can also be leveraged to discover other related sources. This document discusses how existing sources can be used to find new sources by following citation links between documents and utilizing metadata like titles and authors.
Type of database searches
Searching a database can be done in different ways:
1) Searching for works by a specific author or institution looks for all records containing that author or institution. This provides a narrow search focused on one entity.
2) Searching for sources about a known topic uses what is already known about the topic to find additional publications on that topic. The topic is defined with some level of detail.
3) Both author/institution searches and topic searches may find sources that were previously unknown or found, depending on the search terms and database searched.
Specific needs
This document defines two types of information needs based on specificity: searching for a known reference where the publication details are already known, and searching for sources that meet certain criteria where the topic is defined but specific publications are unknown. It provides examples of each, such as finding a specific published article with a known title and authors, or finding any articles on a general topic like coordinated control of UAVs.
Topic specificity
The document discusses topic specificity for research, noting that while a perfectly defined topic is not necessary to begin searching, a well-defined topic allows for more efficient searching. It recommends thinking of a topic as a focused area of interest within a broader domain and provides examples of poorly defined, broadly defined, and narrowly defined research topics, with autonomous vehicles, autonomous UAVs, and image recognition algorithms for vision systems in autonomous UAVs as examples ranging from broad to narrow.
Strategies concept block
Concept blocking is a search strategy that breaks topics down into major concepts represented by search terms. Each concept is described with synonyms to capture alternative wordings. The search strings combine the concepts with Boolean operators - using AND between concepts and OR between synonyms. This intuitive approach represents the intersection of knowledge domains that comprise topics. An example breaks down the topic of coordinated control of UAVs into search terms for unmanned aerial vehicles, control/automation, and coordination/cooperation.
Currency
This document discusses how to determine the currency, or recency, of information sources. It notes that what is considered current depends on how rapidly the field is changing, with articles about new materials potentially remaining current for 5 years while those on additive manufacturing may date quickly. It also explains that different source types, like newspapers, conference papers, journal articles, and books, cover events and research at different points along the information cycle, from immediate coverage to discussion years later.
Strategies concept block subject terms
This document discusses concept blocking strategy, an intuitive method for searching topics that breaks them down into major concepts represented by search terms. It recommends using subject terms from databases and considering related terms from thesauri to broaden searches. Search strings should use AND between concepts to narrow the topic and OR between similar terms, while removing concepts broadens the topic. An example search string is provided to coordinate control of unmanned aerial vehicles using subject terms from Compendex.
Strategies successive fractions
This document describes the successive fractions strategy for searching, where a searcher starts with a broad search term related to their topic of interest. They then review the results to identify more specific ideas or topics to refine the search with, adding these additional terms with Boolean AND operators. An example is provided where a searcher starts with a search on "UAV" or "drone", then examines results to add a second search term like "control" or "coordination" to narrow the results. The strategy aims to iteratively refine the search through multiple steps until a manageable number of relevant results are obtained.
Database selection citation indexes
Web of Science and Scopus are citation indexes that provide access to articles in the broad sciences and assist researchers by tracking who cites whom in their articles. Citation indexes allow researchers to find a known article and then click "Cited by" to get a list of articles that have cited the original article.
Subject terms
Subject terms, also known as controlled vocabulary, are special words used by databases to describe what an article is about. Using subject terms allows for a precise search, as the selected terms do not need to be explicitly stated in an article's text. To perform a subject search, you must know the specific terms used by the database. Reviewing subject terms from previous relevant articles found in that database can help identify appropriate search terms, as controlled vocabularies vary between databases.
Database selection google scholar citation
Google Scholar uses web crawlers to link citations together across a broad range of sources on the internet, providing a very comprehensive set of scholarly search results. It tracks citations to articles and papers, allowing users to see which works cite a particular publication. Google Scholar searches a wide variety of academic publications without requiring users to sign in or pay for access.
Types of sources
There are several types of sources that can provide information, with peer-reviewed journals being the most authoritative due to a rigorous review process either through an online database or publication website. Conference articles are typically not reviewed to the same degree as journals but can contain more recent findings, while books, theses, reports and patents are not usually peer-reviewed but may still offer relevant information.
Type of database searches
This slideshow is part of a Decision-based Learning module for Information Literacy. The information is not intended to stand on its own.
Topic specificity
This slideshow is part of a Decision-based Learning module for Information Literacy. The information is not intended to stand on its own.
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四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
AI assisted telemedicine KIOSK for Rural India.pptx
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