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Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
on Behance to see some of the best and most latest case study structures to use as inspiration. Marketing Magic to play Now that you’ve created an appealing case study, it’s time to use its marketing potential in a variety of ways: Showcase on Your Website Put case studies clearly in your portfolio | medium | 3,758 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
or website. This allows potential clients to simply learn about your skills and success stories. Case studies can be shown on a separate page or throughout your portfolio. Think about categorizing your case studies by industry or project type to help potential clients find specific solutions. Sales | medium | 3,759 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
Pitch Add case studies to your sales pitches to support your value offer while building trust with potential clients. Show your skills as a developer to potential clients. Highlight a case study that is relevant to their sector or demands, and explain how you got similar results. This targeted | medium | 3,760 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
approach makes you an excellent fit for the project. For example, if you’re pitching to an e-commerce company, show them a case study in which you helped an online store boost conversions by X%. SEO Optimization Add important keywords throughout your case study to boost search engine rankings and | medium | 3,761 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
drive organic visitors. While case studies serve as main marketing tools, they can also give valuable material. Do keyword research for your web development services and the areas in which you specialize. Include these keywords naturally throughout the case study, but focus on user experience | medium | 3,762 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
rather than keyword stuffing. Today’s search engines are intelligent enough to detect keyword-stuffing strategies, which might hurt your ranking. Social Media Buzz Share your case studies on social media networks popular with your target audience. LinkedIn is an excellent platform to share your | medium | 3,763 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
professional experience. Create interesting sections with attractive visuals to attract people to read the complete content, rather than simply posting a link. Imagine it as a movie teaser for your case study! Offer pieces from the case study with a call to action, attracting people to visit your | medium | 3,764 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
website for the full story. This multi-pronged approach uses social media to boost your profile and make people read your case studies, resulting in new opportunities. Final Words Creating interesting case studies is an art form. Follow these steps and best practices to create case studies that | medium | 3,765 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
successfully show your web development skills and attract potential clients. A case study gives a story, not simply data and numbers. Tell it with clarity, creativity, and a little of developer magic together! To make your case studies stand out, add your voice and personality. If you enjoyed this, | medium | 3,766 |
Web Development, Freelancing, Web Design, Marketing Strategies, Web Developer.
consider buying me a coffee! ☕️ In Plain English 🚀 Thank you for being a part of the In Plain English community! Before you go: Be sure to clap and follow the writer ️👏️️ Follow us: X | LinkedIn | YouTube | Discord | Newsletter Visit our other platforms: Stackademic | CoFeed | Venture | Cubed Tired | medium | 3,767 |
.
the face of adversity. Through his profound insights and compassionate action, Gandhi demonstrated the enduring relevance of the Gita’s teachings for individuals striving to create a more just, peaceful, and compassionate world. As we reflect on Gandhi’s interpretation, may we be inspired to embody | medium | 3,782 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
RDF-Star: Metadata Complexity Simplified — Ontotext The next generation data and content management technology heavily relies on diverse, complex and dynamic metadata. Knowledge graphs, backed by translytical graph databases and formal semantics, offer the solution. RDF-Star brings the simplicity | medium | 3,784 |
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and usability of property graphs without sacrificing the essential semantics that enables correct interpretation and diligent management of the data. There are no easy answers in life or in Information Architecture. Design decisions come with tradeoffs. Relational databases (RDBS) have been the | medium | 3,785 |
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workhorse of ICT for decades. Being able to sit down and define a complete schema, a blueprint of the database, gave everyone assurity and consistency. Sure, you have to ignore the edge cases and hope that they stay edge cases. And yeah, the real-world relationships among the entities represented | medium | 3,786 |
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in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Surely, business requirements don’t change over time, right? Graph Databases vs Relational Databases The simple, transactional data that relational databases do | medium | 3,787 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
well increasingly does not reflect the hyper-connected dynamic needs of today’s business environment. Ironically, relational databases only imply relationships between data points by whatever row or column they exist in. With graph databases the representation of relationships as data make it | medium | 3,788 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
possible to better represent data in real time, addressing newly discovered types of data and relationships. Relational databases benefit from decades of tweaks and optimizations to deliver performance. However, when it comes to queries that involve large and highly interconnected master data, the | medium | 3,789 |
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performance is solidly in favour of graph databases like GraphDB. This is why data-driven companies like the FAANGs, global pharma brands and the financial industry have long ago switched to graph databases. For instance, the analysis of M&A transactions in order to derive investment insights | medium | 3,790 |
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requires the raw transaction data, in addition to the information on relationships of the companies involved in these transactions, e.g. subsidiaries, joint ventures, investors or competitors. This is a graph of millions of edges and vertices — in enterprise data management terms it is a giant | medium | 3,791 |
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piece of master/reference data. Now consider that transaction data is dynamic (thousands of equity transactions take place daily) and, to further complicate the scenario, the reference data is dynamic as transactions often imply new relationships in the company graph. To handle such scenarios you | medium | 3,792 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
need a transalytical graph database — a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter In order to have a competitive advantage in dynamic environments, | medium | 3,793 |
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enterprises need to enhance their proprietary information using global knowledge as context for interpretation and source for enrichment. They should be able to continuously integrate data across multiple internal systems and link it to data from external sources. To be able to automate these | medium | 3,794 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
operations and maintain sufficient data quality, enterprises have started implementing the so-called data fabrics, that employ diverse metadata sourced from different systems. “The ability of the data fabric to continuously find, integrate, catalog, and share all forms of metadata: It should be | medium | 3,795 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
able to do this across all environments, including hybrid and multicloud platforms, and at the edge. This metadata should then be represented, along with its intricate relationships, in a connected knowledge graph model that can be understood by the business teams” Further, “ML-Augmented data | medium | 3,796 |
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integration is making active metadata analysis and semantic knowledge graphs pivotal parts of the data fabric”” Gartner, ‘Data Fabrics Add Augmented Intelligence to Modernize Your Data Integration’, Ehtisham Zaidi, Eric Thoo, Guido De Simoni, Mark Beyer, December 17, 2019,. The vital added-value of | medium | 3,797 |
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KGs is the paradigm for using ontologies — explicit formal conceptual models — to provide consistent unified access to data scattered across different systems. The key characteristic is that ontologies capture, integrate and operationalize knowledge across several disciplines and type of systems: | medium | 3,798 |
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Database schemas; Master and reference data, critical in enterprise data management; Taxonomies and controlled vocabularies for content and knowledge management; Scientific data, particularly important in pharma and healthcare; Product catalogues and complex technical and configuration knowledge; | medium | 3,799 |
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All sorts of metadata — from provenance to usage logs and access rights. If you want to solve interesting problems beyond basic data analytics, you are going to need formal semantics and that means schemas. Schemas are powerful. They create reliable, consistent and communicable models for | medium | 3,800 |
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representing data. It provides meaning. In the world of relational databases where meaning is tacit and reliant on a costly database architect to define the entire model a priori and hope they don’t make a mistake or the model needs adaptation at production. The advantage of knowledge graphs over a | medium | 3,801 |
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relational database is that schema is data too. It can be queried. It can also be modified as the business needs require. Knowledge graphs use ontologies as semantic schemas in order to accommodate all the above types of knowledge in a way that allows both human experts and computers to understand | medium | 3,802 |
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and interpret them in an unambiguous manner. The addition of formal semantics to the data model has a number of advantages: It creates the ability to align with other schemas and reliably query diverse datasets. For example, with semantics, it’s possible to get results from a query where one schema | medium | 3,803 |
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uses ‘parentOf’ and another uses ‘childOf’ or ‘relativeOf’. Using globally unique identifiers (URIs) for both types and instances further clarifies meaning and interoperability across the web. With formal semantics, inference can provide answers to complex queries that are not explicitly stated in | medium | 3,804 |
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the data. It enables a more robust validation of graph consistency and quality compared to property graphs. RDF vs. Property Graphs The stack of Semantic Web standards (RDF, RDFS, SPARQL, OWL, SHACL) is developed through the W3C community process, to make sure that the requirements of different | medium | 3,805 |
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actors are satisfied — all the way from logicians to enterprise data management professionals and system operations teams. It incorporates several interoperable schema languages to make sure different applications and types of data can be represented properly (e.g. open-world vs. closed-world | medium | 3,806 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
assumptions). On the other hand the property graph model, implicitly defined by the Apache ThinkerPop framework (referred to as Property Graph), is designed for efficient paths traversal and similar tasks. They aren’t concerned with publishing or integrating data. Enterprise data management and | medium | 3,807 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
governance require standards for query schema and query languages, identification and serialization formats, federation and management protocols none of which is present in the Property Graph stack. Lacking any form of formal semantics, they certainly aren’t a good choice for automated reasoning | medium | 3,808 |
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over data to provide data insights. This is why data architects and organisations interested in the sustainability of their data prefer RDF for implementation of their knowledge graphs. Metadata about Relationships Come in Handy At the low-level of representation of data in a graph, there is often | medium | 3,809 |
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a need to attach metadata to relationships, which are most naturally represented as edges in the graph. Such examples are provenance (e.g. where a relationship is sourced from or who edited it last), access control and representation of context (e.g. time span). The ability to attach properties to | medium | 3,810 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
relationships (i.e. the edges) as simply as to entities (i.e. nodes) was an advantage to Property Graph representations. It’s not impossible to do in RDF, but the workaround all came with costs. In the diagram below you can see four different ways of doing it without extension of the RDF | medium | 3,811 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
specification: reification, singleton properties or named graphs, and N-ary relationships. Each approach’s advantages and disadvantages are detailed in What is RDF-Star? Natural and intuitive modelling is key for numerous reasons! All these approaches share several important problems: they are | medium | 3,812 |
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counter-intuitive, representation is “hairy” and requires extra effort to comprehend. When people are faced with the challenging task of integrating data across multiple sources, many of them quite complex on their own, it is too burdensome to ask them to further complicate the representation. It | medium | 3,813 |
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changes the already difficult task into an impractical one. This unnecessary modelling complexity can impede the adoption of KG in large enterprises who could benefit most from their semantics. Removing ungainly representation was an early lesson learned by the pioneers of the Semantic Web when | medium | 3,814 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
Description Logics (DL) were a prevalent approach in the field. DL reasoning’s power came at the cost of performance, but that isn’t what made the semantic world move away from DLs. The true problem was that the DL semantics were too complex to comprehend at scale. Tracing inference chains on | medium | 3,815 |
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anything non-trivial became onerous. If it’s not intuitive to a KR-specialist with a pocketful of PhDs, what chance would a commercial developer have? RDFS with its simple entailment rules solved that issue. RDF-Star: Simplifying What Need Not Be Complex Recently an extension has been proposed, | medium | 3,816 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
RDF-Star (sometimes referred to as RDF*), that addresses those issues by reducing the document size and increasing efficiency. Most importantly, it provides a representation that is human-friendly and intuitive. For example, in your data you have People entities and Job Titles and the relationship | medium | 3,817 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
between them called positionHeld. If you wanted to label positionHeld with a length of time, it would require the addition of additional statements to ‘reify’ with additional statements such as Id1 which in turn would have relationship with other properties such as StartDate and EndDate. Id1 isn’t | medium | 3,818 |
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intuitive or useful. RDF-Star enables you to do directly what you want and with fewer statements. Namely, label the relationship just as easily as you label entities. RDF-Star comes with the corresponding extension of the query language SPARQL-Star — examples of modelling properties on edges in | medium | 3,819 |
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RDF-Star and querying them from SPARQL-Star are provided here. The Best of Both Worlds RDF-Star provides a representation that is closer to the clean simplicity of property graphs but without having to sacrifice semantics in the bargain. RDF-Star goes beyond the expressivity of Property Graphs, | medium | 3,820 |
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where you can only attach key-value pairs to relationships — in RDF-Star you can make a statement about an edge in the graph that refers to another RDF resource, e.g. description of context, shared with other edges. Knowledge graphs have been shown to be essential for dynamic, flexible and | medium | 3,821 |
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automated data management that is required today with its reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with 3rd parties. RDF-Star is furthering the open data philosophy of RDF to ensure | medium | 3,822 |
Rdf, Knowledge Graph, Metadata, Knowledge Management, Data Management.
interoperability and avoid the inevitable headaches of proprietary languages that dominate the world of Property Graphs. More than RDBMS or Property Graphs, knowledge graphs deliver unified data access, automation of data management tasks, and meaningful data in context. Jarred McGinnis Originally | medium | 3,823 |
Health, Infant Mortality, Home Visit Doctor, Racial Equality.
Health officials offered a variety of interventions to lower infant mortality at last week’s Results Washington panel, which focused on the disparities among the Native American and African-American communities. On average, approximately one Washington infant dies every day, which means the infant | medium | 3,825 |
Health, Infant Mortality, Home Visit Doctor, Racial Equality.
dies before their first birthday. Causes include premature birth, sudden infant death syndrome and low birth weight. While Washington ranks fifth lowest in the nation for overall infant mortality, the rates in Native American and African-American communities in the state are higher. Inger Brinck | medium | 3,826 |
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speaks at February’s Result Washington panel on infant mortality as other panel members listen. (Office of the Governor photo) Data shows this disparity across racial and ethnic lines. Research on infant mortality and maternal health among black women point to several factors, which includes the | medium | 3,827 |
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stress of racism and sexism, said Results Washington director Inger Brinck. “To put it bluntly, it’s very stressful being black in America,” Brinck said. Gov. Jay Inslee attended the panel and asked experts what the state can do to improve infant mortality outcomes, specifically among these two | medium | 3,828 |
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communities. “The fact that we still have racial disparities is painful for us,” Inslee said. The effects of racism affect the birth outcome of communities of color, said Dr. John Wiesman, secretary of health at Washington State Department of Health. Basically, there aren’t enough support systems | medium | 3,829 |
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in place to combat the stress of racism. Among Native American and Alaska Native communities, the leading cause of death among infants is sudden infant death syndrome. For African-American infants, the leading cause is low birth weight or pre-term birth. The black lines on the graph indicate how | medium | 3,830 |
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confident experts are that the result could fall within the same range if experts took this measurement again. (Graphic courtesy of DOH) The panel recommended a variety of overall interventions such as breastfeeding, safe sleep practices, increased health workers in communities and better access to | medium | 3,831 |
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health care. But the two interventions that could cause the most positive ripple effect are universal home visits and building up communities of trust. Home visits The Department of Children, Youth and Family’s strategy for addressing infant mortality is universal home visits, Ross Hunter said. | medium | 3,832 |
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Hunter, secretary of DCYF, said these visits lead to healthier birth outcomes. “This would give every family a strong start,” Hunter said. “The story that we got from moms is that this is an empowering program.” Inslee proposed a bill this year that would allow parents to choose if they want a | medium | 3,833 |
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nurse to visit their home to offer advice, resources and best practices as the parents care for their newborn. When the state offers the service universally, Hunter said about 85 percent of families voluntarily participate. Vickie Ybarra, director of analysis and research at DCYF, said home visits | medium | 3,834 |
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produce better outcomes and improves child development. “If we can intervene early in the life of a family that has disadvantages, during the sensitive time of brain development for baby and role switching for parents, then these differences can support the child through the rest of childhood | medium | 3,835 |
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rather than intervening later,” Ybarra said. Stephen Kutz, American Indian Health Commission chairman, said he started doing home visits as a nurse in 1981 with military families. He supervised it for 13 years and emphasized the importance of nurse home visiting. “Just some contact, someone they | medium | 3,836 |
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can call,” Kutz said. “When there’s a home visit, there’s understanding in the community of where the needs are.” That’s because tribes have historical knowledge to help them know what works, he said. And each tribe is different. Hunter said there are 10 different models of how home visits are set | medium | 3,837 |
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up in a Washington community. Research supports each of the 10 models’ effectiveness for the populations they serve. This is important because each community differs in their approach about what works best for their needs. The map shows the number of families (or ‘slots’) currently being served in | medium | 3,838 |
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each county. Various sources, including DCYF, fund the slots. Vickie Ybarra said DCYF estimates there an additional 20,000 eligible vulnerable families (who would likely voluntarily participate) if the state had the capacity to serve them. (Graphic courtesy of DCYF) “It needs to be culturally | medium | 3,839 |
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relevant in the community or no one is going to take you up on it,” Hunter said. When parents participate in this program, parents don’t just come away more resources on how to be successful with their children — Hunter said people’s behavior changes. “The world becomes better,” he said. “Children | medium | 3,840 |
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are safer, children are healthier. This stuff works. It’s so exciting.” “I continue to say, this is one evidence-based program that breaks the cycle of people out of poverty. It is one of the most important investments we can make in our state as we go forward.” -Sue Birch Washington State Health | medium | 3,841 |
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Care Authority Director Sue Birch said she had experience managing a similar program in Colorado. As the first national site to do rural nurse home visitation, she said she still gets letters from families who nurses visited in the 1990s. The letters share how those children who benefited from the | medium | 3,842 |
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program now have successes like higher educational attainment, no tobacco use and not being in trouble with the law. This work plays out for generations, she said. “I continue to say, this is one evidence-based program that breaks the cycle of people out of poverty,” she said. “It is one of the | medium | 3,843 |
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most important investments we can make in our state as we go forward.” Hunter echoes how families who participate in programs like this show overall improvement. During the panel, he cited a study that shows how child welfare involvement calls — which often involve child abuse and neglect — would | medium | 3,844 |
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reduce at least 31 percent. “These at-risk families tend to have a lot of involvement in welfare programs later when you don’t have early stuff like home visits,” Hunter said. “If we did this program for all at-risk families, it would be a staggering reduction.” Building communities of trust Home | medium | 3,845 |
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visits — whether it includes a doula visit or a community health worker offering resources — help build a much-needed connection to Native American and African-American communities. And one of the most positive things that comes out of these new connections is trust. Historically, both of these | medium | 3,846 |
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groups generally mistrust the health system and the government, said Rabeeha Ghaffar, prenatal women’s and adolescent health program manager at DOH. Ghaffar gave one example of these damaging interactions, citing the unethical Tuskegee Study where doctors did not give penicillin to black men who | medium | 3,847 |
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had syphilis even though penicillin was available. John Tuttle, deputy office director at DOH, shared another example of Native American groups generally mistrusting government after tribes were forced to attend cultural appropriation schools. “Current and institutional racism has led members of | medium | 3,848 |
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these populations to be less likely to access care from these medical providers,” Tuttle said. He also said these two groups don’t often see themselves visibly represented in health care providers, which leads to further mistrust. There are relatively few black and Native American gynecologists, | medium | 3,849 |
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for example. Other factors associated with lower socio-economic status also create barriers for women accessing care. These include lack of transportation to medical appointments, not able to take time off work, lack of childcare for additional kids and the inability to pay co-pay costs. Tuttle | medium | 3,850 |
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said it doesn’t help that health care “deserts” still exist in urban areas — neighborhoods where no nearby providers are available. Environmental factors also pose risks for many Native American and African-American communities. These include lead and pollution exposure, lack of safe communities | medium | 3,851 |
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and limited access to appropriate food options during pregnancy like foods with folic acid. Kutz said young parents need interactions with people they trust because members of these two groups may not have trust with people in their lives — even their families, he said. Getting medical messages out | medium | 3,852 |
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is one thing. Reinforcing those messages over time through a trustworthy source is really going to make the difference. There are many ways to help bridge the gap and build trust between a new mom and medical resources. Doulas, community health care workers, home visit nurses, trusted community | medium | 3,853 |
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members and health ministers all serve as a link and lifeline for mothers. If an African-American mother in Tacoma, for example, attends a peer-to-peer breastfeeding or parenting group supported by a public health representative, her peers are more likely to attend because of the already | medium | 3,854 |
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established trust among those local mothers and peers. That’s why Lea Johnson, public health nurse from the Tacoma-Pierce County Health Department, works with a network of African-American churches providing ‘health ministers’ to pregnant and new parents. The network is made up of 28 churches and | medium | 3,855 |
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dozens of volunteers. The role of a health minister is to get information from nurses and take it into their communities and congregations where trust is already strong and where members feel culturally safe. “It takes a lot of different ways to reach pregnant women,” Johnson said. The | medium | 3,856 |
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community-driven approached helped a 20-year old pregnant woman, who was new to town, meet a group of mothers and share her fears about having a baby. The group she attended included a public health nurse, a breastfeeding peer counselor, a local health minister and local mothers with babies. They | medium | 3,857 |
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introduced her to a childbirth education class and scheduled home visits with a breastfeeding counselor. “The draw to the group is the peers,” Johnson said. “Other young moms come to the group because peers are there.” Kutz said another way to build trust in these communities is create a safe space | medium | 3,858 |
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to discuss the racist and historical traumas each group has experienced. The term for this is ‘generational clarity’. Kutz said it’s the idea that historical trauma happened. It means having conversations with the community about how this trauma affected future generations. Gov. Jay Inslee talks to | medium | 3,859 |
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Stephen Kutz and Jan Olmstead from the American Indian Health Commission about historical and racial trauma across generations at the Results Washington panel in early February. (Office of the Governor photo) “I will tell you, historical trauma has not ceased,” Kutz said. “Generational clarity is | medium | 3,860 |
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not just understanding the historical trauma in the lives of individuals and communities. It is also understanding the strengths and values that the communities have. We need to build on both to understand how to work best with disadvantaged communities.” Basically, addressing historical trauma may | medium | 3,861 |
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help address the deeper problems that exist behind things such as infant mortality. During the panel, Inslee said generational clarify might be an important part about getting to the root of this disparity. “I think it’s a pretty profound idea,” Inslee said. “Generational clarity is not just | medium | 3,862 |
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understanding the historical trauma in the lives of individuals and communities. It is also understanding the strengths and values that the communities have. We need to build on both to understand how to work best with disadvantaged communities.” -Stephen Kutz Hunter said the trauma children | medium | 3,863 |
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experience changes their genetic expression in an inheritable way. But reducing that trauma is also inheritable. Basically, if you can reduce trauma in a group through various interventions, like home visits and building trust in communities, then the kids live longer because the parents experience | medium | 3,864 |
Data Science, Graph Theory, Social Network Analysis, Social Networking.
In today’s hyper-connected world, the ability to understand, predict, and influence human behavior is more crucial than ever. Enter psychographic statistics and graph theory, two fields that, when combined, can revolutionize the way businesses communicate and build trust. This article delves into | medium | 3,866 |
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these concepts and introduces “Soshalyze”, a cutting-edge system that leverages these principles to redefine strategic communications. What are Psychographic Statistics? Psychographic statistics delve into the qualitative aspects of human behavior. Unlike demographics, which categorize people based | medium | 3,867 |
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on tangible attributes like age, gender, or location, psychographics focus on intangible factors such as: - Attitudes - Beliefs - Interests - Motivations - Lifestyle preferences In essence, psychographics aim to understand the “why” behind human actions. By analyzing these statistics, businesses | medium | 3,868 |
Data Science, Graph Theory, Social Network Analysis, Social Networking.
can tailor their messaging to resonate more deeply with their target audience, leading to more meaningful and impactful interactions. Graph Theory: Mapping the Complex Web of Human Connections Graph theory, a branch of mathematics, studies networks of interconnected nodes and edges. In the context | medium | 3,869 |
Data Science, Graph Theory, Social Network Analysis, Social Networking.
of social connections, nodes represent individuals or entities, while edges symbolize the relationships between them. By visualizing these connections, graph theory provides insights into: - The most influential nodes (people or organizations) within a network - Potential pathways to reach a | medium | 3,870 |
Data Science, Graph Theory, Social Network Analysis, Social Networking.
specific node - The strength and nature of relationships between nodes Soshalyze: Bridging the Gap “Soshalyze” is a groundbreaking system that combines the power of psychographic statistics with the insights of graph theory. By monitoring social connections of key individuals and consulting firms, | medium | 3,871 |
Data Science, Graph Theory, Social Network Analysis, Social Networking.
it offers a strategic advantage in the realm of communications. Here’s how Soshalyze works: 1. Monitoring & Analysis: Using an LLM (Large Language Model), Soshalyze monitors conversations and interactions, extracting valuable psychographic data. 2. Targeted Conversations: Based on the insights | medium | 3,872 |
Data Science, Graph Theory, Social Network Analysis, Social Networking.
gained, consultants can initiate or continue conversations on specific topics, ensuring they resonate with the target audience. 3. Trust Accumulation: The system’s primary objective is to accrue and broker trust. By understanding the motivations and interests of individuals, Soshalyze facilitates | medium | 3,873 |
Data Science, Graph Theory, Social Network Analysis, Social Networking.
genuine interactions that build lasting trust. 4. Strategic Networking: With the insights from graph theory, consultants can identify key influencers and the best pathways to reach them, optimizing their networking efforts. Why is Soshalyze a Game-Changer? 1. Enhanced Personalization: By | medium | 3,874 |
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