Academic literature on the topic 'Relational attributes'
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Journal articles on the topic "Relational attributes"
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Morales, Fabio. "Relational Attributes in Aristotle." Phronesis 39, no. 3 (1994): 255–74. http://dx.doi.org/10.1163/156852894321052072.
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Greco-Vigorito, Carolyn. "Categorization Based on Attribute versus Relational Similarity in 4-To 10-Month-Old Infants." Perceptual and Motor Skills 82, no. 3 (June 1996): 915–27. http://dx.doi.org/10.2466/pms.1996.82.3.915.
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4- to 10-month-old infants were tested in 2 experiments to determine whether they used a similar attribute or a similar relationship among attributes to make visual judgments of similarity and categorization. In Exp. 1 infants were familiarized with a single stimulus composed of several attributes and a prescribed relationship among the attributes, left wing smaller than right wing. When tested in a novelty-preference procedure with novel stimuli that either preserved a single attribute but violated the relationship (Attribute Test Stimulus) or preserved the relationship with a new set of attributes (Relational Test Stimulus), 4-mo.-olds treated the Attribute Test Stimulus as familiar, whereas 6-mo.-olds treated the Relational Test Stimulus as familiar. Neither 8- nor 10-mo.-olds showed a preference for either test stimulus. In Exp. 2 a category containing 3 exemplars was constructed. In each exemplar a single attribute, left wing, was held constant, and all 3 exemplars shared the same relational structure, left wing smaller than right wing, but the remaining attributes varied across exemplars. Four-, 6-, and 8-mo.-olds in Exp 2 reliably included the novel Attribute Test Stimulus in the category. These data suggest that, although infants under 8 months can recognize relational information, they may not always use that information when making categorization judgments, particularly if a single, well-defined attribute is available as the basis for categorization.
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Mikkelson, Alan C., Colin Hesse, and Perry M. Pauley. "The Attributes of Relational Maximizers." Communication Studies 67, no. 5 (October 19, 2016): 567–87. http://dx.doi.org/10.1080/10510974.2016.1239644.
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Law, Sweety, Jacques Verville, and Nazim Taskin. "Relational Attributes in Supply Chain Relationships." International Journal of Information Systems and Supply Chain Management 4, no. 1 (January 2011): 1–23. http://dx.doi.org/10.4018/jisscm.2011010101.
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The objective of this research paper is to examine the relational attributes underpinning supply chain networks, which linked firms need to manage on an ongoing basis. In examining the connections, which are different from transaction-based connections, this study measures the effects of face-to-face communication, trust, involvement, job title, and sales volume on performance. The hypothesized relationships are mostly supported and provide nuanced insights into relational attributes that affect supply-chain relationships and performance. These attributes are the basis for creating relationship intensity, magnitude, and history, described as collaborative facilitators that can enhance performance. All levels of management have a role to play in how the relational attributes are applied and managed. Senior leadership such as CEOs may need to play a larger role in trust development and involvement maintenance, while mid-level and line managers may need to engage in more face-to-face communication in maintaining trust and collaboration intensity.
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Cheng, Yong Qian, Hong Mei Ma, Qian Wu Song, and Yue Zhang. "Assessment of Water Quality Using Grey Relational Analysis and Principal Component Analysis." Advanced Materials Research 255-260 (May 2011): 2829–35. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.2829.
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This paper investigates the comprehensive assessment of water quality, which is generally a multi-attribute assessment problem. In this context, the grey relational analysis is adopted to settle the no uniformity problem of water quality attributes. The principal component analysis is applied to calculate the weighting values corresponding to various attributes of water quality so that their relative importance can be properly and objectively described. Results of study reveal that grey relational analysis coupled with principal component analysis can effectively solve the multi-attribute water quality assessment. The method is universal and can be a useful tool to improve the comprehensive assessment of water quality.
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Zhu, Liang, Zhaoliang Xie, and Qin Ma. "Evaluating Relational Ranking Queries Involving both Text Attributes and Numeric Attributes." Journal of Software Engineering and Applications 05, no. 12 (2012): 88–93. http://dx.doi.org/10.4236/jsea.2012.512b018.
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Xie, Zhuojie, Yuhui Wang, and Qingxian Wu. "Battle damage assessment of surface warship formation based on improved gray relational analysis." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 15, no. 3 (November 1, 2017): 269–78. http://dx.doi.org/10.1177/1548512917740446.
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The paper analyzes the pros and cons of classical gray relational analysis on solving multi-target and multi-attribute problems, and presents an improved gray relational model to assess the battle damage of surface warship formations. First, with an entropy method and analytic hierarchy process, the subjective and objective weights of the index attributes are determined, respectively, and then they are combined with the product method to obtain the combined weight. Second, to make full use of the information carried by the index attributes, a polygon area formed by the adjacent points of the reference sequence curve and alternative sequence curve is used as gray relational coefficient. Third, by combining with the combined weight and the gray relational coefficients, an improved gray relational degree is thus determined. Finally, the numerical results illustrate that the battle damage assessment is generally consistent with the assessment results of experts, and the achieved result will provide important information to make a correct decision for carrying out a next strike.
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Pakkar, Mohammad Sadegh. "An integrated approach to grey relational analysis, analytic hierarchy process and data envelopment analysis." Journal of Centrum Cathedra 9, no. 1 (September 2, 2016): 71–86. http://dx.doi.org/10.1108/jcc-08-2016-0005.
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Purpose This paper aims to propose an integration of the analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods in a multiattribute grey relational analysis (GRA) methodology in which the attribute weights are completely unknown and the attribute values take the form of fuzzy numbers. Design/methodology/approach This research has been organized to proceed along the following steps: computing the grey relational coefficients for alternatives with respect to each attribute using a fuzzy GRA methodology. Grey relational coefficients provide the required (output) data for additive DEA models; computing the priority weights of attributes using the AHP method to impose weight bounds on attribute weights in additive DEA models; computing grey relational grades using a pair of additive DEA models to assess the performance of each alternative from the optimistic and pessimistic perspectives; and combining the optimistic and pessimistic grey relational grades using a compromise grade to assess the overall performance of each alternative. Findings The proposed approach provides a more reasonable and encompassing measure of performance, based on which the overall ranking position of alternatives is obtained. An illustrated example of a nuclear waste dump site selection is used to highlight the usefulness of the proposed approach. Originality/value This research is a step forward to overcome the current shortcomings in the weighting schemes of attributes in a fuzzy multiattribute GRA methodology.
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Schek, H. J., and M. H. Scholl. "The relational model with relation-valued attributes." Information Systems 11, no. 2 (January 1986): 137–47. http://dx.doi.org/10.1016/0306-4379(86)90003-7.
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Zakrzewska-Bielawska, Agnieszka, and Dagmara Lewicka. "A company’s relational strategy: Linkage between strategic choices, attributes, and outcomes." PLOS ONE 16, no. 7 (July 22, 2021): e0254531. http://dx.doi.org/10.1371/journal.pone.0254531.
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Nowadays, the idea of firms’ atomization is rejected and companies are perceived as entities embedded in inter-organizational relationships and their configurations, including dyads and networks. The relational view in strategic management thus prompts research on a firm’s relational strategy. This paper taps this gap considering links between strategic choices and attributes of a company’s inter-organizational relationships, as well as the outcomes achieved by collaboration with different groups of stakeholders. We test the model based on research carried out on a representative sample of 400 enterprises operating in Poland and on international markets. The results of structural equation modeling show that 1) the outcomes of collaboration reflect market benefits and are dependent on the durability of the inter-organizational relationships and the heterogeneity of the supply chain relationships, 2) durability as an attribute of the relational strategy depends on the choice of how to create and appropriate value, and 3) in turn, the attribute of heterogeneity of the relational strategy depends on what type of partners are selected. Thereby, we deliver managerial implications on how to create a relational strategy to achieve a relational rent and better a company’s market position.
Dissertations / Theses on the topic "Relational attributes"
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Steele, Doug. "RDBMS AND XML FOR TELEMETRY ATTRIBUTES." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605560.
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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, NevadaOne problem facing telemetry engineers is the ability to easily translate telemetry attributes from one system to another. Engineers must develop a written set of attributes that define a given telemetry stream and specify how the telemetry stream is to be transmitted, received, and processed. Telemetry engineers take this document and create the configuration for each product that will be exposed to the telemetry stream (airborne, ground, flight line). This process is time-consuming and prone to error. L-3 Telemetry-West chose to implement a solution using relational databases and eXtensible Markup Language (XML) to solve this and other issues.
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Williams, Larry Ritchie Jr. "The Use of Relation Valued Attributes in Support of Fuzzy Data." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3240.
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In his paper introducing fuzzy sets, L.A. Zadeh describes the difficulty of assigning some real-world objects to a particular class when the notion of class membership is ambiguous. If exact classification is not obvious, most people approximate using intuition and may reach agreement by placing an object in more than one class. Numbers or ‘degrees of membership’ within these classes are used to provide an approximation that supports this intuitive process. This results in a ‘fuzzy set’. This fuzzy set consists any number of ordered pairs to represent both the class and the class’s degree of membership to provide a formal representation that can be used to model this process. Although the fuzzy approach to reasoning and classification makes sense, it does not comply with two of the basic principles of classical logic. These principles are the laws of contradiction and excluded middle. While they play a significant role in logic, it is the violation of these principles that gives fuzzy logic its useful characteristics. The problem of this representation within a database system, however, is that the class and its degree of membership are represented by two separate, but indivisible attributes. Further, this representation may contain any number of such pairs of attributes. While the data for class and membership are maintained in individual attributes, neither of these attributes may exist without the other without sacrificing meaning. And, to maintain a variable number of such pairs within the representation is problematic. C. J. Date suggested a relation valued attribute (RVA) which can not only encapsulate the attributes associated with the fuzzy set and impose constraints on their use, but also provide a relation which may contain any number of such pairs. The goal of this dissertation is to establish a context in which the relational database model can be extended through the implementation of an RVA to support of fuzzy data on an actual system. This goal represents an opportunity to study through application and observation, the use of fuzzy sets to support imprecise and uncertain data using database queries which appropriately adhere to the relational model. The intent is to create a pathway that may extend the support of database applications that need fuzzy logic and/or fuzzy data.
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Azzeh, Mohammad Y. A. "Analogy-based software project effort estimation : contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4442.
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Software effort estimation by analogy is a viable alternative method to other estimation techniques, and in many cases, researchers found it outperformed other estimation methods in terms of accuracy and practitioners' acceptance. However, the overall performance of analogy based estimation depends on two major factors: similarity measure and attribute selection & weighting. Current similarity measures such as nearest neighborhood techniques have been criticized that have some inadequacies related to attributes relevancy, noise and uncertainty in addition to the problem of using categorical attributes. This research focuses on improving the efficiency and flexibility of analogy-based estimation to overcome the abovementioned inadequacies. Particularly, this thesis proposes two new approaches to model and handle uncertainty in similarity measurement method and most importantly to reflect the structure of dataset on similarity measurement using Fuzzy modeling based Fuzzy C-means algorithm. The first proposed approach called Fuzzy Grey Relational Analysis method employs combined techniques of Fuzzy set theory and Grey Relational Analysis to improve local and global similarity measure and tolerate imprecision associated with using different data types (Continuous and Categorical). The second proposed approach presents the use of Fuzzy numbers and its concepts to develop a practical yet efficient approach to support analogy-based systems especially at early phase of software development. Specifically, we propose a new similarity measure and adaptation technique based on Fuzzy numbers. We also propose a new attribute subset selection algorithm and attribute weighting technique based on the hypothesis of analogy-based estimation that assumes projects that are similar in terms of attribute value are also similar in terms of effort values, using row-wise Kendall rank correlation between similarity matrix based project effort values and similarity matrix based project attribute values. A literature review of related software engineering studies revealed that the existing attribute selection techniques (such as brute-force, heuristic algorithms) are restricted to the choice of performance indicators such as (Mean of Magnitude Relative Error and Prediction Performance Indicator) and computationally far more intensive. The proposed algorithms provide sound statistical basis and justification for their procedures. The performance figures of the proposed approaches have been evaluated using real industrial datasets. Results and conclusions from a series of comparative studies with conventional estimation by analogy approach using the available datasets are presented. The studies were also carried out to statistically investigate the significant differences between predictions generated by our approaches and those generated by the most popular techniques such as: conventional analogy estimation, neural network and stepwise regression. The results and conclusions indicate that the two proposed approaches have potential to deliver comparable, if not better, accuracy than the compared techniques. The results also found that Grey Relational Analysis tolerates the uncertainty associated with using different data types. As well as the original contributions within the thesis, a number of directions for further research are presented. Most chapters in this thesis have been disseminated in international journals and highly refereed conference proceedings.
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Sands, Obed Scott. "Transitive, anti-symmetric relational attributes in structural description matching with applications to radar target identification /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487683401443243.
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Hujic, Dijana, and Christian Olsson. "Kan en relation överlämnas? : En kvalitativ studie om relationen mellan barn och socialsekreterare." Thesis, Linnéuniversitetet, Institutionen för socialt arbete (SA), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-64848.
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The purpose of this study is to examine and understand social workers view on the relationship between children and social workers within Individual and Family care in Sweden, and how personnel turnover affects relationship-building with children. Method: This study is based on a qualitative method, with semi-structured interviews as an approach to gather empirical data. The participants in the study are seven social workers from five different municipalities in Sweden, who work with placed children. Theory: Our theoretical framework is the attachment theory and the accounts theory. This approach has helped us analyze the result and highlight the importance of essential attributes for a good relationship between social worker and child. Result: The study is characterized by two different themes, Professional relationship-building and The organization of social work. Our results show that the attributes trustful, confiding, straight, predictable and respectful are essential for a good relationship. Further results indicate that continuity is of importance to build and preserve a healthy relationship. The study also shows that variety in the work force have negative impact on the relationship between social workers and placed children.
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Hossain, M. Ayub. "The stochastic preference relations for vector valued attributes /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487331541711522.
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Chinnappa, Dhivya Infant. "Extracting Possessions and Their Attributes." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703436/.
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Possession is an asymmetric semantic relation between two entities, where one entity (the possessee) belongs to the other entity (the possessor). Automatically extracting possessions are useful in identifying skills, recommender systems and in natural language understanding. Possessions can be found in different communication modalities including text, images, videos, and audios. In this dissertation, I elaborate on the techniques I used to extract possessions. I begin with extracting possessions at the sentence level including the type and temporal anchors. Then, I extract the duration of possession and co-possessions (if multiple possessors possess the same entity). Next, I extract possessions from an entire Wikipedia article capturing the change of possessors over time. I extract possessions from social media including both text and images. Finally, I also present dense annotations generating possession timelines. I present separate datasets, detailed corpus analysis, and machine learning models for each task described above.
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Maia, Fabrício Simplício. "Sistema tecnológico de inovação, atributos do custo de transação e capacidade relacional na indústria de biotecnologia humana." Universidade Presbiteriana Mackenzie, 2013. http://tede.mackenzie.br/jspui/handle/tede/814.
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Previous issue date: 2013-11-07Fundação de Amparo a Pesquisa do Estado de São Paulo
This study aimed to explore in a deductive way the relationship between constructs: STI biotechnology, considered at the regional level, the relational capabilities of human biotechnology companies, and the attributes of the transaction costs of alliances in Brazil. The universe considered were companies operating in the biotechnology industry. The sample was composed of companies active in human health biotechnology industry in the states of São Paulo, Minas Gerais, Rio de Janeiro, Paraná and Rio Grande do Sul. The levels of analysis were the constructs: Technological Innovation System, Attributes of Cost Transaction and Capacity Relational. The unit of analysis was the contractual strategic alliances formalized by the companies. A structural sample was developed and measurement consists of causal relationships based on existing theory. From the sample, latent variables were defined at first, second and third order and measurable indicators. Data were collected in two ways: access to secondary data, provided by the government and private organizations, access to primary data through structured interviews with managers or people directly connected with the management of strategic alliances contractual process. To test the measurement model, it was conducted to the analysis of structural equation modeling method solved by Partial Least Squares. The results show that the dynamics of Technological Innovation System influences the frequency of transactions, but it proved not to be enough to change the nature of the uncertainty of transactions, as well as in relation to the Assets Specificity. The Technological Innovation System also positively influenced but not statistically significant the Relational Capacity, demonstrating not to be, by itself, capable of generating development of this type of dynamic capability. The ratio of positive influence of Attributes Transaction Cost in the development of relational capacity was confirmed. The moderation hypothesis was confirmed, making it possible to say that allowing the Technological Innovation System strengthens the relationship between the attributes of the Transaction Cost and Relational Capacity. The paper finally presents theoretical and methodological contributions arising from analysis of the relationships discussed practical contributions to managers of companies operating in the industry and for the formulation of public policies whose goal is regional and economic development of the biotechnology industry, human health in Brazil.
Esse estudo teve como objetivo explorar de forma dedutiva a relação entre os construtos: STI de biotecnologia, considerado no nível regional; a capacidade relacional das empresas de biotecnologia humana; e os atributos dos custos de transações de alianças no Brasil. O universo considerado foram as empresas que atuam na indústria de biotecnologia. A amostra foi composta pelas empresas atuantes na indústria de biotecnologia saúde humana, nos estados de São Paulo, Minas Gerais, Rio de Janeiro, Paraná e Rio Grande do Sul. Os níveis de análise foram os construtos: Sistema Tecnológico de Inovação, Atributos dos Custos de Transação e Capacidade Relacional. A unidade de análise foram as alianças estratégicas contratuais formalizadas pelas empresas. Foi elaborado um modelo estrutural e de mensuração composto por relações causais baseadas na teoria existente. A partir do modelo, definiram-se variáveis latentes de primeira, segunda e terceira ordem e indicadores mensuráveis. Os dados foram coletados de duas formas: acesso a dados secundários, disponibilizados por organizações governamentais e privadas; acesso aos dados primários por meio de entrevistas estruturadas realizadas com gestores ou pessoas diretamente ligadas ao processo de gestão das alianças estratégicas contratuais. Para testar o modelo de mensuração procedeu-se à análise da modelagem de equações estruturais resolvido pelo método Partial Least Squares. Os resultados mostram que a dinamicidade do Sistema Tecnológico de Inovação exerce influência na Frequência das transações, mas demonstrou não ser suficiente para alterar a natureza da Incerteza das transações, bem como em relação à Especificidade dos Ativos. O Sistema Tecnológico de Inovação ainda influenciou de forma positiva, mas não estatisticamente significativa a Capacidade Relacional, demonstrando não ser, por si só, capaz de gerar desenvolvimento desse tipo de capacidade dinâmica. Foi confirmada a relação de influência positiva dos Atributos do Custo de Transação no desenvolvimento da Capacidade Relacional. Quanto à hipótese de moderação, foi confirmada, possibilitando dizer que o Sistema Tecnológico de Inovação reforça a relação entre os Atributos do Custo de Transação e a Capacidade Relacional. O trabalho, por fim apresenta contribuições teóricas e metodológicas advindas das análises das relações discutidas, contribuições práticas para os gestores das empresas que atuam na indústria e para a formulação de políticas públicas cuja meta seja o desenvolvimento regional e econômico da indústria de biotecnologia, saúde humana, no Brasil.
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You, Di. "Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1321.
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To combat fake news, researchers mostly focused on detecting fake news and journalists built and maintained fact-checking sites (e.g., Snopes.com and Politifact.com). However, fake news dissemination has been greatly promoted by social media sites, and these fact-checking sites have not been fully utilized. To overcome these problems and complement existing methods against fake news, in this thesis, we propose a deep-learning based fact-checking URL recommender system to mitigate impact of fake news in social media sites such as Twitter and Facebook. In particular, our proposed framework consists of a multi-relational attentive module and a heterogeneous graph attention network to learn complex/semantic relationship between user-URL pairs, user-user pairs, and URL-URL pairs. Extensive experiments on a real-world dataset show that our proposed framework outperforms seven state-of-the-art recommendation models, achieving at least 3~5.3% improvement.
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Bell, Charles Andrew. "Attribute-Level Versioning: A Relational Mechanism for Version Storage and Retrieval." VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd/988.
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Data analysts today have at their disposal a seemingly endless supply of data and repositories hence, datasets from which to draw. New datasets become available daily thus making the choice of which dataset to use difficult. Furthermore, traditional data analysis has been conducted using structured data repositories such as relational database management systems (RDBMS). These systems, by their nature and design, prohibit duplication for indexed collections forcing analysts to choose one value for each of the available attributes for an item in the collection. Often analysts discover two or more datasets with information about the same entity. When combining this data and transforming it into a form that is usable in an RDBMS, analysts are forced to deconflict the collisions and choose a single value for each duplicated attribute containing differing values. This deconfliction is the source of a considerable amount of guesswork and speculation on the part of the analyst in the absence of professional intuition. One must consider what is lost by discarding those alternative values. Are there relationships between the conflicting datasets that have meaning? Is each dataset presenting a different and valid view of the entity or are the alternate values erroneous? If so, which values are erroneous? Is there a historical significance of the variances? The analysis of modern datasets requires the use of specialized algorithms and storage and retrieval mechanisms to identify, deconflict, and assimilate variances of attributes for each entity encountered. These variances, or versions of attribute values, contribute meaning to the evolution and analysis of the entity and its relationship to other entities. A new, distinct storage and retrieval mechanism will enable analysts to efficiently store, analyze, and retrieve the attribute versions without unnecessary complexity or additional alterations of the original or derived dataset schemas. This paper presents technologies and innovations that assist data analysts in discovering meaning within their data and preserving all of the original data for every entity in the RDBMS.
Books on the topic "Relational attributes"
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See me! Hear me!: Divine/human relational dialogue in Genesis. Leuven: Peeters, 2015.
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Binggelli, Pierre. Patterns of invasion of sycamore (Acer Pseudoplatanus L) in relation to species and ecosystem attributes. [S.l: The Author], 1992.
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Region, United States Forest Service Eastern. Attributes of an organization with an outstanding human resources program. [Milwaukee, Wis.?]: U.S. Dept. of Agriculture, Forest Service, Eastern Region, 1991.
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The fatherhood of God: And its relation to the person and work of Christ and the operations of the Holy Spirit. Edinburgh: T. & T. Clark, 1986.
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Universal dimensions of Islam: Studies in comparative religion. Bloomington IN: World Wisdom, Inc., 2011.
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Habeebi, Syed Mohammed Mohiuddin. Beautiful names of Allah in the Bible. Morrisville, NC: Lulu Enterprises, 2005.
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Habeebi, Syed Mohammed Mohiuddin. Beautiful names of Allah in the Bible. Morrisville, NC: Lulu Enterprises, 2005.
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(Pakistan), National Book Foundation, ed. Knowledge of God: A comparative study of Christian and Islamic epistemologies. Islamabad: National Book Foundation, 2011.
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Jabr, Muḥammad Amīn. Allāh jalla jalāluhu bayna al-tathlīth wa-al-tawḥīd. ʻĀbidīn [Cairo]: al-Nahār lil-Ṭabʻ wa-al-Nashr wa-al-Tawzīʻ, 1999.
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Sanson, Henri. Dialogue intérieur avec l'islam. Paris: Centurion, 1990.
Find full textBook chapters on the topic "Relational attributes"
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Poulis, Giorgos, Grigorios Loukides, Aris Gkoulalas-Divanis, and Spiros Skiadopoulos. "Anonymizing Data with Relational and Transaction Attributes." In Advanced Information Systems Engineering, 353–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40994-3_23.
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Ghanem, Amal S., Svetha Venkatesh, and Geoff West. "Classifying Multiple Imbalanced Attributes in Relational Data." In AI 2009: Advances in Artificial Intelligence, 220–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10439-8_23.
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Alfred, Rayner. "The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining." In Advanced Data Mining and Applications, 214–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73871-8_21.
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Shokrollahi Yancheshmeh, Fatemeh, Joni-Kristian Kämäräinen, and Ke Chen. "Discovering Multi-relational Latent Attributes by Visual Similarity Networks." In Computer Vision - ACCV 2014 Workshops, 3–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16634-6_1.
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Pérez Gort, Maikel Lázaro, Martina Olliaro, and Agostino Cortesi. "A Quantile-Based Watermarking Approach for Distortion Minimization." In Foundations and Practice of Security, 162–76. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08147-7_11.
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AbstractDistortion-based watermarking techniques embed the watermark by performing tolerable changes in the digital assets being protected. For relational data, mark insertion can be performed over the different data types of the database relations’ attributes. An important goal for distortion-based approaches is to minimize as much as possible the changes that the watermark embedding provokes into data, preserving their usability, watermark robustness, and capacity. This paper proposes a quantile-based watermarking technique for numerical cover type focused on preserving the distribution of attributes used as mark carriers. The experiments performed to validate our proposal show a significant distortion reduction compared to traditional approaches while maintaining watermark capacity levels. Also, positive achievements regarding robustness are visible, evidencing our technique’s resilience against subset attacks.
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Thoma, Steffen, Achim Rettinger, and Fabian Both. "Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics." In Lecture Notes in Computer Science, 694–710. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68288-4_41.
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Robertson, Jeandri, Caitlin Ferreira, and Elsamari Botha. "The Effect of Product Knowledge on the Relational Importance of the Product Attributes of Wine: An Abstract." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 835–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02568-7_223.
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Bělohlávek, Radim. "Object-Attribute Fuzzy Relations and Fuzzy Concept Lattices." In Fuzzy Relational Systems, 215–72. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0633-1_5.
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Foggia, Pasquale, Roberto Genna, and Mario Vento. "Prototype Learning with Attributed Relational Graphs." In Advances in Pattern Recognition, 447–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44522-6_46.
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Kopliku, Arlind, Karen Pinel-Sauvagnat, and Mohand Boughanem. "Attribute Retrieval from Relational Web Tables." In String Processing and Information Retrieval, 117–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24583-1_12.
Full textConference papers on the topic "Relational attributes"
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Ahmadi, Babak, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava, and Suresh Venkatasubramanian. "Type-based categorization of relational attributes." In the 12th International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1516360.1516372.
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Feng, Ming-Han, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, and Shou-De Lin. "MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes." In The World Wide Web Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3308558.3313715.
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Zhang, Meihui, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, and Divesh Srivastava. "Automatic discovery of attributes in relational databases." In the 2011 international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1989323.1989336.
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Kumaran, A., and Jayant R. Haritsa. "On semantic matching of multilingual attributes in relational systems." In the Thirteenth ACM conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1031171.1031217.
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Samorani, Michele, Farrukh Ahmed, and Osmar R. Zaiane. "Automatic generation of relational attributes: An application to product returns." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840753.
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Cabibbo, Luca. "On keys, foreign keys and nullable attributes in relational mapping systems." In the 12th International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1516360.1516392.
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Thaokar, Chetana B., Jitendra Kumar Rout, and Minakhi Rout. "Classification of News Articles with Relational Multi Attributes using Machine Learning." In 2021 19th OITS International Conference on Information Technology (OCIT). IEEE, 2021. http://dx.doi.org/10.1109/ocit53463.2021.00051.
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R. Parker, Kevin. "A Data Model Validation Approach for Relational Database Design Courses." In InSITE 2004: Informing Science + IT Education Conference. Informing Science Institute, 2004. http://dx.doi.org/10.28945/2797.
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This paper presents an instructional method for validating a relational database design. Data model validation is often overlooked in course projects involving relational database design, in part because while most database texts stress the importance of validation, few provide an instructional method for performing validation. Validation is a critical step, especially for students. A flawed data model may omit non-key attributes or even the foreign keys required to join tables. This can make the design of SQL queries, forms, and reports a frustrating experience. This approach requires the designer to determine which attributes account for the field values on forms and reports, which entities are associated with those attributes, and how those entities are linked to an integral or primary entity. Such an approach serves to validate the completeness of the data model.
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FangZheng Li, DaYong Luo, and Dong Xie. "Fuzzy search on non-numeric attributes of keyword query over relational databases." In Education (ICCSE). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228162.
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FangZheng Li, DaYong Luo, and Dong Xie. "Fuzzy queries of numerical attributes for keyword-based search over relational databases." In 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5358252.
Full textReports on the topic "Relational attributes"
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Baader, Franz, and Felix Distel. A finite basis for the set of EL-implications holding in a finite model. Technische Universität Dresden, 2007. http://dx.doi.org/10.25368/2022.160.
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Formal Concept Analysis (FCA) can be used to analyze data given in the form of a formal context. In particular, FCA provides efficient algorithms for computing a minimal basis of the implications holding in the context. In this paper, we extend classical FCA by considering data that are represented by relational structures rather than formal contexts, and by replacing atomic attributes by complex formulae defined in some logic. After generalizing some of the FCA theory to this more general form of contexts, we instantiate the general framework with attributes defined in the Description Logic (DL) EL, and with relational structures over a signature of unary and binary predicates, i.e., models for EL. In this setting, an implication corresponds to a so-called general concept inclusion axiom (GCI) in EL. The main technical result of this report is that, in EL, for any finite model there is a finite set of implications (GCIs) holding in this model from which all implications (GCIs) holding in the model follow.
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Lutz, Carsten. Reasoning about Entity Relationship Diagrams with Complex Attribute Dependencies. Aachen University of Technology, 2002. http://dx.doi.org/10.25368/2022.119.
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Entity Relationship (ER) diagrams are among the most popular formalisms for the support of database design [7, 12, 17, 6]. Their classical use in the (usually computer aided) database design process can roughly be described as follows: after evaluating the requirements of the application, the database designer constructs an ER schema, which represents the conceptual model of the new database. CASE tools can be used to automatically transform the ER schema into a relational database schema, which is then manually fine-tuned. During the last years, the initially rather simple ER formalisms has been extended by various means of expressivity to account for new, more complex application areas such as schema integration for data warehouses [12, 3, 13]. Designing a conceptual model with such enriched ER diagrams is a nontrivial task: there exist complex interactions between the various means of expressivity, which quite often result in unnoticed inconsistencies in the ER schemas and in implicit ramifications of the modeling that have not been intended by the designer. To address this problem, Description Logics (DLs) have been proposed and succesfully used as a tool for reasoning about ER diagrams and thereby detecting the aforementioned anomalies [5, 6, 8].
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Blum, Abraham, and Henry T. Nguyen. Molecular Tagging of Drought Resistance in Wheat: Osmotic Adjustment and Plant Productivity. United States Department of Agriculture, November 2002. http://dx.doi.org/10.32747/2002.7580672.bard.
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Drought stress is a major limitation to bread wheat (Triticumaestivum L.) productivity and its yield stability in arid and semi-arid regions of world including parts of Israel and the U.S. Currently, breeding for sustained yields under drought stress is totally dependent on the use of yield and several key physiological attributes as selection indices. The attempt to identify the optimal genotype by evaluating the phenotype is undermining progress in such breeding programs. Osmotic adjustment (OA) is an effective drought resistance mechanism in many crop plants. Evidence exists that there is a genetic variation for OA in wheat and that high OA capacity supports wheat yields under drought stress. The major objective of this research was to identify molecular markers (RFLPs, restriction fragment length polymorphisms; and AFLPs, amplified fragment length polymorph isms) linked to OA as a major attribute of drought resistance in wheat and thus to facilitate marker-assisted selection for drought resistance. We identified high and low OA lines of wheat and from their cross developed recombinant inbred lines (RILs) used in the molecular tagging of OA in relation to drought resistance in terms of plant production under stress. The significant positive co-segregation of OA, plant water status and yield under stress in this RIL population provided strong support for the important role of OA as a drought resistance mechanism sustaining wheat production under drought stress. This evidence was obtained in addition to the initial study of parental materials for constructing this RIL population, which also gave evidence for a strong correlation between OA and grain yield under stress. This research therefore provides conclusive evidence on the important role of OA in sustaining wheat yield under drought stress. The measurement of OA is difficult and the selection for drought resistance by the phenotypic expression of OA is practically impossible. This research provided information on the genetic basis of OA in wheat in relations to yield under stress. It provided the basic information to indicate that molecular marker assisted selection for OA in wheat is possible. The RIL population has been created by a cross between two agronomic spring wheat lines and the high OA recombinants in this population presented very high OA values, not commonly observed in wheat. These recombinants are therefore an immediate valuable genetic recourse for breeding well-adapted drought resistant wheat in Texas and Israel. We feel that this work taken as a whole eliminate the few previous speculated . doubts about the practical role of OA as an important mechanism of drought resistance in economic crop plants. As such it should open the way, in terms of both concept and the use of marker assisted selection, for improving drought resistance in wheat by deploying high osmotic adjustment.
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Kelly, Luke. Evidence on the Role of Civil Society in Security and Justice Reform. Institute of Development Studies (IDS), December 2020. http://dx.doi.org/10.19088/k4d.2022.031.
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This rapid review focuses on the role of civil society in SSR in several contexts. It finds that donor driven SSR is seen to have failed to include civil society, and that such efforts have been focused on training and equipping security forces. However, in some contexts, donors have been able to successfully develop civil society capacity or engage civil society groups in reforms, as in Sierra Leone. There are also several examples of security and justice reforms undertaken by local popular movements as part of regime change, namely Ethiopia and South Africa. In other contexts, such as Indonesia, the role of civil society has led to partial successes from which lessons can be drawn. The theoretical and empirical literature attributes several potential roles to civil society in SSR. These include making security and justice institutions accountable, mobilising a range of social groups for reform, publicising abuses and advocating for reform, offering technical expertise, and improving security-citizen relations. The literature also points to the inherent difficulties in implementing SSR, namely the entrenched nature of most security systems. The literature emphasises that security sector reform is a political process, as authoritarian or predatory security systems are usually backed by powerful, skilled and tenacious vested interests. Dislodging them from power therefore requires significant political will – civil society can be one part of this. The evidence base for the topic is relatively thin. While there is much literature on the theory of SSR from a donor perspective, there are fewer empirical studies. Moreover, scholars have identified relatively few successful examples of SSR. The role of civil society is found to be greater in more economically developed countries, meaning there is less discussion of the role of civil society in many African SSR contexts, for example (except to note its absence). In addition, most research discusses the role of civil society alongside that of other actors such as donors, security services or political elites, limiting analysis of the specific role of civil society.
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Mader, Philip, Maren Duvendack, Adrienne Lees, Aurelie Larquemin, and Keir Macdonald. Enablers, Barriers and Impacts of Digital Financial Services: Insights from an Evidence Gap Map and Implications for Taxation. Institute of Development Studies, June 2022. http://dx.doi.org/10.19088/ictd.2022.008.
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Digital financial services (DFS) have expanded rapidly over the last decade, particularly in sub-Saharan Africa. They have been accompanied by claims that they can alleviate poverty, empower women, help businesses grow, and improve macroeconomic outcomes and government effectiveness. As they have become more widespread, some controversy has arisen as governments have identified DFS revenues and profits as potential sources of tax revenue. Evidence-based policy in relation to taxing DFS requires an understanding of the enablers and barriers (preconditions) of DFS, as well as the impacts of DFS. This report aims to present insights from an Evidence Gap Map (EGM) on the enablers and barriers, and subsequent impacts, of DFS, including any research related to taxation. An EGM serves to clearly identify the gaps in the evidence base in a visually intuitive way, allowing researchers to address these gaps. This can help to shape future research agendas. Our EGM draws on elements from the systematic review methodology. We develop a transparent set of inclusion criteria and comprehensive search strategy to identify relevant studies, and assess the confidence we can place in their causal findings. An extensive search initially identified 389 studies, 205 of which met the inclusion criteria and were assessed based on criteria of cogency, transparency and credibility. We categorised 40 studies as high confidence, 97 as medium confidence, and 68 as low confidence. We find that the evidence base is still relatively thin, but growing rapidly. The high-confidence evidence base is dominated by quantitative approaches, especially experimental study designs. The geographical focus of many studies is East Africa. The dominant DFS intervention studied is mobile money. The majority of studies focus on DFS usage for payments and transfers; fewer studies focus on savings, very few on credit, and none on insurance. The strongest evidence base on enablers and barriers relates to how user attributes and industry structure affect DFS. Little is known about how policy and politics, including taxation, and macroeconomic and social factors, affect DFS. The evidence base on impacts is strongest at the individual and household level, and partly covers the business level. The impact of DFS on the macroeconomy, and the meso level of industry and government, is very limited. We find no high-confidence evidence on the role of taxation. We need more higher quality evidence on a variety of topics. This should particularly look at enablers, constraints and impacts, including the role of taxation, beyond the individual and household level. Research going forward should cover more geographic areas and a wider range of purposes DFS can serve (use cases), including savings, and particularly credit. More methodological variety should be encouraged – experiments can be useful, but are not the best method for all research questions.
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Minz, Dror, Stefan J. Green, Noa Sela, Yitzhak Hadar, Janet Jansson, and Steven Lindow. Soil and rhizosphere microbiome response to treated waste water irrigation. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7598153.bard.
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Research objectives : Identify genetic potential and community structure of soil and rhizosphere microbial community structure as affected by treated wastewater (TWW) irrigation. This objective was achieved through the examination soil and rhizosphere microbial communities of plants irrigated with fresh water (FW) and TWW. Genomic DNA extracted from soil and rhizosphere samples (Minz laboratory) was processed for DNA-based shotgun metagenome sequencing (Green laboratory). High-throughput bioinformatics was performed to compare both taxonomic and functional gene (and pathway) differences between sample types (treatment and location). Identify metabolic pathways induced or repressed by TWW irrigation. To accomplish this objective, shotgun metatranscriptome (RNA-based) sequencing was performed. Expressed genes and pathways were compared to identify significantly differentially expressed features between rhizosphere communities of plants irrigated with FW and TWW. Identify microbial gene functions and pathways affected by TWW irrigation*. To accomplish this objective, we will perform a metaproteome comparison between rhizosphere communities of plants irrigated with FW and TWW and selected soil microbial activities. Integration and evaluation of microbial community function in relation to its structure and genetic potential, and to infer the in situ physiology and function of microbial communities in soil and rhizospere under FW and TWW irrigation regimes. This objective is ongoing due to the need for extensive bioinformatics analysis. As a result of the capabilities of the new PI, we have also been characterizing the transcriptome of the plant roots as affected by the TWW irrigation and comparing the function of the plants to that of the microbiome. *This original objective was not achieved in the course of this study due to technical issues, especially the need to replace the American PIs during the project. However, the fact we were able to analyze more than one plant system as a result of the abilities of the new American PI strengthened the power of the conclusions derived from studies for the 1ˢᵗ and 2ⁿᵈ objectives. Background: As the world population grows, more urban waste is discharged to the environment, and fresh water sources are being polluted. Developing and industrial countries are increasing the use of wastewater and treated wastewater (TWW) for agriculture practice, thus turning the waste product into a valuable resource. Wastewater supplies a year- round reliable source of nutrient-rich water. Despite continuing enhancements in TWW quality, TWW irrigation can still result in unexplained and undesirable effects on crops. In part, these undesirable effects may be attributed to, among other factors, to the effects of TWW on the plant microbiome. Previous studies, including our own, have presented the TWW effect on soil microbial activity and community composition. To the best of our knowledge, however, no comprehensive study yet has been conducted on the microbial population associated BARD Report - Project 4662 Page 2 of 16 BARD Report - Project 4662 Page 3 of 16 with plant roots irrigated with TWW – a critical information gap. In this work, we characterize the effect of TWW irrigation on root-associated microbial community structure and function by using the most innovative tools available in analyzing bacterial community- a combination of microbial marker gene amplicon sequencing, microbial shotunmetagenomics (DNA-based total community and gene content characterization), microbial metatranscriptomics (RNA-based total community and gene content characterization), and plant host transcriptome response. At the core of this research, a mesocosm experiment was conducted to study and characterize the effect of TWW irrigation on tomato and lettuce plants. A focus of this study was on the plant roots, their associated microbial communities, and on the functional activities of plant root-associated microbial communities. We have found that TWW irrigation changes both the soil and root microbial community composition, and that the shift in the plant root microbiome associated with different irrigation was as significant as the changes caused by the plant host or soil type. The change in microbial community structure was accompanied by changes in the microbial community-wide functional potential (i.e., gene content of the entire microbial community, as determined through shotgun metagenome sequencing). The relative abundance of many genes was significantly different in TWW irrigated root microbiome relative to FW-irrigated root microbial communities. For example, the relative abundance of genes encoding for transporters increased in TWW-irrigated roots increased relative to FW-irrigated roots. Similarly, the relative abundance of genes linked to potassium efflux, respiratory systems and nitrogen metabolism were elevated in TWW irrigated roots when compared to FW-irrigated roots. The increased relative abundance of denitrifying genes in TWW systems relative FW systems, suggests that TWW-irrigated roots are more anaerobic compare to FW irrigated root. These gene functional data are consistent with geochemical measurements made from these systems. Specifically, the TWW irrigated soils had higher pH, total organic compound (TOC), sodium, potassium and electric conductivity values in comparison to FW soils. Thus, the root microbiome genetic functional potential can be correlated with pH, TOC and EC values and these factors must take part in the shaping the root microbiome. The expressed functions, as found by the metatranscriptome analysis, revealed many genes that increase in TWW-irrigated plant root microbial population relative to those in the FW-irrigated plants. The most substantial (and significant) were sodium-proton antiporters and Na(+)-translocatingNADH-quinoneoxidoreductase (NQR). The latter protein uses the cell respiratory machinery to harness redox force and convert the energy for efflux of sodium. As the roots and their microbiomes are exposed to the same environmental conditions, it was previously hypothesized that understanding the soil and rhizospheremicrobiome response will shed light on natural processes in these niches. This study demonstrate how newly available tools can better define complex processes and their downstream consequences, such as irrigation with water from different qualities, and to identify primary cues sensed by the plant host irrigated with TWW. From an agricultural perspective, many common practices are complicated processes with many ‘moving parts’, and are hard to characterize and predict. Multiple edaphic and microbial factors are involved, and these can react to many environmental cues. These complex systems are in turn affected by plant growth and exudation, and associated features such as irrigation, fertilization and use of pesticides. However, the combination of shotgun metagenomics, microbial shotgun metatranscriptomics, plant transcriptomics, and physical measurement of soil characteristics provides a mechanism for integrating data from highly complex agricultural systems to eventually provide for plant physiological response prediction and monitoring. BARD Report
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Lewis, Dustin, and Naz Modirzadeh. Taking into Account the Potential Effects of Counterterrorism Measures on Humanitarian and Medical Activities: Elements of an Analytical Framework for States Grounded in Respect for International Law. Harvard Law School Program on International Law and Armed Conflict, May 2021. http://dx.doi.org/10.54813/qbot8406.
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For at least a decade, States, humanitarian bodies, and civil-society actors have raised concerns about how certain counterterrorism measures can prevent or impede humanitarian and medical activities in armed conflicts. In 2019, the issue drew the attention of the world’s preeminent body charged with maintaining or restoring international peace and security: the United Nations Security Council. In two resolutions — Resolution 2462 (2019) and Resolution 2482 (2019) — adopted that year, the Security Council urged States to take into account the potential effects of certain counterterrorism measures on exclusively humanitarian activities, including medical activities, that are carried out by impartial humanitarian actors in a manner consistent with international humanitarian law (IHL). By implicitly recognizing that measures adopted to achieve one policy objective (countering terrorism) can impair or prevent another policy objective (safeguarding humanitarian and medical activities), the Security Council elevated taking into account the potential effects of certain counterterrorism measures on exclusively humanitarian activities to an issue implicating international peace and security. In this legal briefing, we aim to support the development of an analytical framework through which a State may seek to devise and administer a system to take into account the potential effects of counterterrorism measures on humanitarian and medical activities. Our primary intended audience includes the people involved in creating or administering a “take into account” system and in developing relevant laws and policies. Our analysis zooms in on Resolution 2462 (2019) and Resolution 2482 (2019) and focuses on grounding the framework in respect for international law, notably the U.N. Charter and IHL. In section 1, we introduce the impetus, objectives, and structure of the briefing. In our view, a thorough legal analysis of the relevant resolutions in their wider context is a crucial element to laying the conditions conducive to the development and administration of an effective “take into account” system. Further, the stakes and timeliness of the issue, the Security Council’s implicit recognition of a potential tension between measures adopted to achieve different policy objectives, and the relatively scant salient direct practice and scholarship on elements pertinent to “take into account” systems also compelled us to engage in original legal analysis, with a focus on public international law and IHL. In section 2, as a primer for readers unfamiliar with the core issues, we briefly outline humanitarian and medical activities and counterterrorism measures. Then we highlight a range of possible effects of the latter on the former. Concerning armed conflict, humanitarian activities aim primarily to provide relief to and protection for people affected by the conflict whose needs are unmet, whereas medical activities aim primarily to provide care for wounded and sick persons, including the enemy. Meanwhile, for at least several decades, States have sought to prevent and suppress acts of terrorism and punish those who commit, attempt to commit, or otherwise support acts of terrorism. Under the rubric of countering terrorism, States have taken an increasingly broad and diverse array of actions at the global, regional, and national levels. A growing body of qualitative and quantitative evidence documents how certain measures designed and applied to counter terrorism can impede or prevent humanitarian and medical activities in armed conflicts. In a nutshell, counterterrorism measures may lead to diminished or complete lack of access by humanitarian and medical actors to the persons affected by an armed conflict that is also characterized as a counterterrorism context, or those measures may adversely affect the scope, amount, or quality of humanitarian and medical services provided to such persons. The diverse array of detrimental effects of certain counterterrorism measures on humanitarian and medical activities may be grouped into several cross-cutting categories, including operational, financial, security, legal, and reputational effects. In section 3, we explain some of the key legal aspects of humanitarian and medical activities and counterterrorism measures. States have developed IHL as the primary body of international law applicable to acts and omissions connected with an armed conflict. IHL lays down several rights and obligations relating to a broad spectrum of humanitarian and medical activities pertaining to armed conflicts. A violation of an applicable IHL provision related to humanitarian or medical activities may engage the international legal responsibility of a State or an individual. Meanwhile, at the international level, there is no single, comprehensive body of counterterrorism laws. However, States have developed a collection of treaties to pursue specific anti-terrorism objectives. Further, for its part, the Security Council has assumed an increasingly prominent role in countering terrorism, including by adopting decisions that U.N. Member States must accept and carry out under the U.N. Charter. Some counterterrorism measures are designed and applied in a manner that implicitly or expressly “carves out” particular safeguards — typically in the form of limited exceptions or exemptions — for certain humanitarian or medical activities or actors. Yet most counterterrorism measures do not include such safeguards. In section 4, which constitutes the bulk of our original legal analysis, we closely evaluate the two resolutions in which the Security Council urged States to take into account the effects of (certain) counterterrorism measures on humanitarian and medical activities. We set the stage by summarizing some aspects of the legal relations between Security Council acts and IHL provisions pertaining to humanitarian and medical activities. We then analyze the status, consequences, and content of several substantive elements of the resolutions and what they may entail for States seeking to counter terrorism and safeguard humanitarian and medical activities. Among the elements that we evaluate are: the Security Council’s new notion of a prohibited financial “benefit” for terrorists as it may relate to humanitarian and medical activities; the Council’s demand that States comply with IHL obligations while countering terrorism; and the constituent parts of the Council’s notion of a “take into account” system. In section 5, we set out some potential elements of an analytical framework through which a State may seek to develop and administer its “take into account” system in line with Resolution 2462 (2019) and Resolution 2482 (2019). In terms of its object and purpose, a “take into account” system may aim to secure respect for international law, notably the U.N. Charter and IHL pertaining to humanitarian and medical activities. In addition, the system may seek to safeguard humanitarian and medical activities in armed conflicts that also qualify as counterterrorism contexts. We also identify two sets of preconditions arguably necessary for a State to anticipate and address relevant potential effects through the development and execution of its “take into account” system. Finally, we suggest three sets of attributes that a “take into account” system may need to embody to achieve its aims: utilizing a State-wide approach, focusing on potential effects, and including default principles and rules to help guide implementation. In section 6, we briefly conclude. In our view, jointly pursuing the policy objectives of countering terrorism and safeguarding humanitarian and medical activities presents several opportunities, challenges, and complexities. International law does not necessarily provide ready-made answers to all of the difficult questions in this area. Yet devising and executing a “take into account” system provides a State significant opportunities to safeguard humanitarian and medical activities and counter terrorism while securing greater respect for international law.