poster presented at WISH 2019
at CHI 2019
Write Mind: an interactive journaling tool for caregivers
including sentiment analysis and resource recommendations
WriteMind is a journaling tool for caregivers that uses sentiment analysis of diary entries to provide resource recommendations. It aims to help with self-care and raise awareness of caregivers' sentiments by analyzing their writings. While developed based on caregiver interviews, some evaluations found that not all caregivers have time for writing daily unless it is already a habit.
A Shortened Rhetorical Analysis Essay Example.PJulie Gonzalez
The document provides instructions for requesting writing assistance from HelpWriting.net. It outlines a 5-step process: 1) Create an account; 2) Complete a request form providing instructions, sources, and deadline; 3) Review bids from writers and select one; 4) Review the completed paper and authorize payment; 5) Request revisions until satisfied. It emphasizes that original, high-quality work is guaranteed or a full refund will be provided.
A Review On Sentiment Analysis And Emotion Detection From TextYasmine Anino
This document provides a review of sentiment analysis and emotion detection from text. It begins with definitions of sentiment analysis and emotion detection, noting they are related but distinct tasks. Sentiment analysis determines polarity (positive, negative, neutral) while emotion detection identifies specific emotion types. The document reviews levels of sentiment analysis (sentence, document, aspect) and common emotion models (dimensional, categorical). It also discusses the process of sentiment analysis and emotion detection, including datasets, preprocessing, feature extraction, and different approaches. Finally, it addresses challenges in the field, such as context, sarcasm, and ambiguity.
The document discusses a citizen report from 2007 that analyzed progress towards achieving Millennium Development Goals (MDGs) in Madhya Pradesh, India. The report found that poverty, especially urban poverty, remained high and was declining slowly. Efforts were needed to boost livelihood opportunities in rural areas through non-farm sector development and industrialization. Investments in schools were also needed to increase access to education.
How To Structure A Paragraph In An Academic EssaySusan Cox
The document provides instructions for creating an account, submitting a paper writing request, and receiving assistance from HelpWriting.net. Users first create an account by providing a password and email. They then complete an order form with instructions, sources, and deadline. Writers bid on the request, and the user chooses a writer based on qualifications. The writer completes the paper and users can request revisions until satisfied.
IRJET- Personality Recognition using Social Media DataIRJET Journal
This document summarizes a research paper on personality recognition using social media data. The paper proposes analyzing personality traits based on the Big Five model (openness, conscientiousness, extraversion, agreeableness, neuroticism) using Facebook status updates and machine learning. Specifically, it involves collecting Facebook status data through a browser extension, storing it in a database, training a random forest regression model on an existing dataset, and using the model to predict personality trait values for additional Facebook users. The predicted traits are then visualized with radar charts to provide an overview of each user's personality profile.
WriteMind is a journaling tool for caregivers that uses sentiment analysis of diary entries to provide resource recommendations. It aims to help with self-care and raise awareness of caregivers' sentiments by analyzing their writings. While developed based on caregiver interviews, some evaluations found that not all caregivers have time for writing daily unless it is already a habit.
A Shortened Rhetorical Analysis Essay Example.PJulie Gonzalez
The document provides instructions for requesting writing assistance from HelpWriting.net. It outlines a 5-step process: 1) Create an account; 2) Complete a request form providing instructions, sources, and deadline; 3) Review bids from writers and select one; 4) Review the completed paper and authorize payment; 5) Request revisions until satisfied. It emphasizes that original, high-quality work is guaranteed or a full refund will be provided.
A Review On Sentiment Analysis And Emotion Detection From TextYasmine Anino
This document provides a review of sentiment analysis and emotion detection from text. It begins with definitions of sentiment analysis and emotion detection, noting they are related but distinct tasks. Sentiment analysis determines polarity (positive, negative, neutral) while emotion detection identifies specific emotion types. The document reviews levels of sentiment analysis (sentence, document, aspect) and common emotion models (dimensional, categorical). It also discusses the process of sentiment analysis and emotion detection, including datasets, preprocessing, feature extraction, and different approaches. Finally, it addresses challenges in the field, such as context, sarcasm, and ambiguity.
The document discusses a citizen report from 2007 that analyzed progress towards achieving Millennium Development Goals (MDGs) in Madhya Pradesh, India. The report found that poverty, especially urban poverty, remained high and was declining slowly. Efforts were needed to boost livelihood opportunities in rural areas through non-farm sector development and industrialization. Investments in schools were also needed to increase access to education.
How To Structure A Paragraph In An Academic EssaySusan Cox
The document provides instructions for creating an account, submitting a paper writing request, and receiving assistance from HelpWriting.net. Users first create an account by providing a password and email. They then complete an order form with instructions, sources, and deadline. Writers bid on the request, and the user chooses a writer based on qualifications. The writer completes the paper and users can request revisions until satisfied.
IRJET- Personality Recognition using Social Media DataIRJET Journal
This document summarizes a research paper on personality recognition using social media data. The paper proposes analyzing personality traits based on the Big Five model (openness, conscientiousness, extraversion, agreeableness, neuroticism) using Facebook status updates and machine learning. Specifically, it involves collecting Facebook status data through a browser extension, storing it in a database, training a random forest regression model on an existing dataset, and using the model to predict personality trait values for additional Facebook users. The predicted traits are then visualized with radar charts to provide an overview of each user's personality profile.
This PPT is drafted to explain the Communication in Health and Social Care Organization to develop good communication skills among work forces. So, take benefits of assignment writing service at Assignment Desk to maintain healthy communication in the staff.
This document describes a proposed mental health assistant that would use LSTM (long short-term memory) and NLP (natural language processing) to engage in conversation with users, analyze their voice or text input to study their emotion, and provide solutions. It discusses related work on similar mental health chatbots and assistants. The proposed system would take input through either speech or text, use speech recognition and text mining to extract emotion, and provide recommendations to improve the user's mood based on the recognized emotion.
Media and Information Literacy - Identify the components of MIL.pptxJhoelKenneth
This document discusses the components of media and information literacy. It identifies critical thinking, understanding mass communication processes, awareness of media impacts, analyzing strategies, appreciating media content, and responsible production skills as elements of media literacy. It also outlines five components of information literacy: identifying needed information, finding it efficiently, evaluating sources critically, applying information effectively, and acknowledging information sources and ethical issues. The document provides activities to reflect on media habits and information experiences.
Essay On Discipline In Life In English. Online assignment writing service.Anna Holmes
The document discusses Edward Abbey's book Desert Solitaire, which describes his love of the remote and natural landscape surrounding Moab, Utah where he works. In the early chapters, Abbey introduces the natural surroundings and wildlife and expresses his loneliness but also joy in nature. He describes encounters with snakes and different plant life. In later chapters, Abbey's frustration grows regarding plans to pave new roads to increase tourism, seeing cars as detrimental to appreciating the natural environment. He advocates for alternative plans focused on limiting vehicle access.
Idea2010: Communitiesof Care: Strategic Social Interaction Design for Healthc...Amy Cueva
The document discusses using social media in healthcare to improve communication and care. It defines social media and provides examples currently used in healthcare. It outlines how social media could help by empowering patients, improving access to information, and enabling greater collaboration. Challenges and risks discussed include legal issues, ensuring quality of information, and maintaining ongoing participation. The document advocates designing social media experiences around strategic goals and community engagement to improve healthcare interactions and outcomes.
One of the key pillars of suicide prevention is raising awareness. Communities can organize workshops, seminars, and awareness campaigns to educate their members about the signs of suicidal behavior and the available resources. By promoting open conversations about mental health, communities can create a safe environment where individuals feel comfortable seeking help when needed.
The document discusses guidelines for engaging with social media for suicide prevention purposes. It summarizes outcomes from an Australian roundtable meeting between mental health, technology, and media organizations to discuss opportunities and risks of social media engagement for youth suicide prevention. Key priorities identified include developing best practice guidelines for clinical engagement online, guidelines for online moderation, and empowering young people. The Mindframe initiative has since conducted further consultations and research to inform social media guidelines and address issues like measuring duty of care responsibilities online and moderating user generated content.
IRJET- Real Time Sentiment Analysis of Political Twitter Data using Machi...IRJET Journal
This document summarizes a research paper that analyzed sentiments of political tweets related to the Ayodhya issue in India using machine learning. It collected tweets using keywords and preprocessed them by removing URLs, usernames, stop words, and irrelevant data. It then extracted sentiment-bearing words as features. It classified the polarity of each tweet as positive, negative, or neutral using the Vader sentiment analysis tool and calculated overall sentiment scores. It aimed to analyze public opinion on the Ayodhya issue expressed on Twitter.
EPIDEMIC OUTBREAK PREDICTION USING ARTIFICIAL INTELLIGENCEijcsit
Intelligent Models for predicting diseases whether building a model to help the doctor or even preventing its spread in an area globally, is increasing day by day. Here we present a noble approach to predict the disease prone area using the power of Text Analysis and Machine Learning. Epidemic Search model using the power of the social network data analysis and then using this data to provide a probability score of the spread and to analyse the areas whether going to suffer from any epidemic spread-out, is the main focus of this work. We have tried to analyse and showcase how the model with different kinds of pre-processing and algorithms predict the output. We have used the combination of words-n grams, word embeddings and TFIDF with different data mining and deep learning algorithms like SVM, Naïve Bayes and RNN-LSTM. Naïve Bayes with TF-IDF performed better in comparison to others.
The document discusses the challenges of drawing insights from big data. It notes that interpreting big data requires critical thinking to understand human expression and account for uncertainty. Managers can better understand data by asking focused questions, considering language and cultural differences, and using multiple disciplines like linguistics and ethics. While big data offers opportunities, organizations must thoughtfully source, analyze, and communicate data to earn and maintain public trust.
Intelligent Models for predicting diseases whether building a model to help the doctor or even preventing its spread in an area globally, is increasing day by day. Here we present a noble approach to predict the disease prone area using the power of Text Analysis and Machine Learning. Epidemic Search model using the power of the social network data analysis and then using this data to provide a probability score of the spread and to analyse the areas whether going to suffer from any epidemic spread-out, is the main focus of this work. We have tried to analyse and showcase how the model with different kinds of pre-processing and algorithms predict the output. We have used the combination of words-n grams, word embeddings and TFIDF with different data mining and deep learning algorithms like SVM, Naïve Bayes and RNN-LSTM. Naïve Bayes with TF-IDF performed better in comparison to others.
The team conducted user research including interviews and a survey to understand stress, anxiety, and self-care practices of young professionals aged 25-35. They discovered that stress and anxiety negatively impact health and well-being. The team defined the problem as a need to better equip users to manage stress and anxiety so they can reach their full potential. They developed a self-care app called Feather to offer effective stress and anxiety coping tools like breathing exercises. The team iterated on user flows, wireframes and a prototype based on usability testing feedback to create a simple, minimalist app experience focused on proven self-care methods.
1) Smart interventions delivered through mobile applications have the potential to overcome obstacles of traditional cognitive behavioral therapy (CBT) by providing real-time, personalized CBT.
2) The company Minddistrict has developed a platform that uses experience sampling data collected through a mobile diary app to provide automated, personalized interventions tailored to each individual's needs and delivered in the moment.
3) Minddistrict's approach involves three stages - from brief assessments and supportive messages, to using correlations to determine personal risk factors and provide insights, to training reinforcement learning algorithms that can adapt interventions over time based on what works best for that individual.
The document discusses bitter taste receptors and how they vary between organisms based on diet. Herbivores tend to have more functional bitter taste receptors to protect against plant toxins, while carnivores like cats have lost sweet taste receptors due to lack of plant material in their diets. Tracking homologous genes between organisms reveals their evolutionary relationships, as advantageous genes like those coding for bitter taste receptors are passed on while disadvantageous ones are removed through purifying selection.
IRJET - A Review Paper on Various Depression Analysing AlgorithmsIRJET Journal
This document discusses various machine learning algorithms that can detect depression from text, audio, video, and other data sources. It summarizes a research paper on algorithms for early depression detection. The paper describes how natural language processing and recurrent neural networks can analyze text-based conversations to identify keywords linked to depression. A chatbot is proposed that would ask users questions daily and use their answers to assess their depression levels over time and produce a report for therapists. This could help users open up more easily and receive treatment before depression worsens.
Evaluating a Wrist Worn Application for Students with Neurodevelopmental Diso...Vivian Motti
This document summarizes research evaluating WELI, a wrist-worn smartwatch application designed to assist young adults with neurodevelopmental disorders in inclusive college classes. The research involved requirement elicitation, prototyping, user studies, and a field study testing WELI over two semesters. Key findings were that WELI allowed for discreet and subtle assistance, with focus and reward interventions being most common and effective. However, wearables may also introduce distractions, and more research is needed on long-term engagement and personalized intervention models.
This document discusses several data breaches that have exposed the personal information of millions of individuals. It also discusses how over 12 million Americans have shared their DNA data with companies like 23andMe and AncestryDNA. While this can help medical research, it also raises privacy concerns about potential genetic discrimination and challenges with informed consent. The document provides recommendations for patients, practitioners, and stakeholders to help address these privacy challenges through practices like informing patients, limiting data use, ensuring accountability, and identifying risks.
Modern Privacy
Call for action for stakeholders to ensure privacy in healthcare solutions
Presented during the Modern Privacy Symposium at Bentley University in Boston on June 10th, 2019
Wearable Health: Opportunities and ChallengesVivian Motti
This document discusses opportunities and challenges with wearable health technologies. It describes various form factors like watches, clothing, and accessories that can incorporate sensors to continuously monitor users. Sensors can track metrics like heart rate, activity, and environment. Wearables provide opportunities for constant data collection and easy access to prompt users. However, challenges include limited battery life, privacy concerns over personal data collection, and ensuring comfortable user experiences. While wearable technology adoption is increasing, sustained use remains difficult and open questions around standards, energy usage, and mainstream appeal still exist.
This study analyzed 500 Instagram posts with the hashtag #Microcephaly to understand how caregivers of patients with microcephaly use social media. The majority of posts showed female patients and their mothers engaging in daily routines. Caregivers used Instagram to share information, celebrate milestones, fundraise, and provide social support to cope with caring for patients. Hashtags and captions were mostly positive and focused on love, faith, and patients' progress. The study found Instagram is an accessible and empowering tool for caregivers.
Wearable Life: a Wrist-Worn Application to Assist Students in Special EducationVivian Motti
Slides presented at the HCII 2017 - International Conference on Human Computer Interaction, describing the implementation of Wearable Life - a smartwatch application developed to support students with intellectual and developmental disabilities in a post-secondary inclusive educational program
This PPT is drafted to explain the Communication in Health and Social Care Organization to develop good communication skills among work forces. So, take benefits of assignment writing service at Assignment Desk to maintain healthy communication in the staff.
This document describes a proposed mental health assistant that would use LSTM (long short-term memory) and NLP (natural language processing) to engage in conversation with users, analyze their voice or text input to study their emotion, and provide solutions. It discusses related work on similar mental health chatbots and assistants. The proposed system would take input through either speech or text, use speech recognition and text mining to extract emotion, and provide recommendations to improve the user's mood based on the recognized emotion.
Media and Information Literacy - Identify the components of MIL.pptxJhoelKenneth
This document discusses the components of media and information literacy. It identifies critical thinking, understanding mass communication processes, awareness of media impacts, analyzing strategies, appreciating media content, and responsible production skills as elements of media literacy. It also outlines five components of information literacy: identifying needed information, finding it efficiently, evaluating sources critically, applying information effectively, and acknowledging information sources and ethical issues. The document provides activities to reflect on media habits and information experiences.
Essay On Discipline In Life In English. Online assignment writing service.Anna Holmes
The document discusses Edward Abbey's book Desert Solitaire, which describes his love of the remote and natural landscape surrounding Moab, Utah where he works. In the early chapters, Abbey introduces the natural surroundings and wildlife and expresses his loneliness but also joy in nature. He describes encounters with snakes and different plant life. In later chapters, Abbey's frustration grows regarding plans to pave new roads to increase tourism, seeing cars as detrimental to appreciating the natural environment. He advocates for alternative plans focused on limiting vehicle access.
Idea2010: Communitiesof Care: Strategic Social Interaction Design for Healthc...Amy Cueva
The document discusses using social media in healthcare to improve communication and care. It defines social media and provides examples currently used in healthcare. It outlines how social media could help by empowering patients, improving access to information, and enabling greater collaboration. Challenges and risks discussed include legal issues, ensuring quality of information, and maintaining ongoing participation. The document advocates designing social media experiences around strategic goals and community engagement to improve healthcare interactions and outcomes.
One of the key pillars of suicide prevention is raising awareness. Communities can organize workshops, seminars, and awareness campaigns to educate their members about the signs of suicidal behavior and the available resources. By promoting open conversations about mental health, communities can create a safe environment where individuals feel comfortable seeking help when needed.
The document discusses guidelines for engaging with social media for suicide prevention purposes. It summarizes outcomes from an Australian roundtable meeting between mental health, technology, and media organizations to discuss opportunities and risks of social media engagement for youth suicide prevention. Key priorities identified include developing best practice guidelines for clinical engagement online, guidelines for online moderation, and empowering young people. The Mindframe initiative has since conducted further consultations and research to inform social media guidelines and address issues like measuring duty of care responsibilities online and moderating user generated content.
IRJET- Real Time Sentiment Analysis of Political Twitter Data using Machi...IRJET Journal
This document summarizes a research paper that analyzed sentiments of political tweets related to the Ayodhya issue in India using machine learning. It collected tweets using keywords and preprocessed them by removing URLs, usernames, stop words, and irrelevant data. It then extracted sentiment-bearing words as features. It classified the polarity of each tweet as positive, negative, or neutral using the Vader sentiment analysis tool and calculated overall sentiment scores. It aimed to analyze public opinion on the Ayodhya issue expressed on Twitter.
EPIDEMIC OUTBREAK PREDICTION USING ARTIFICIAL INTELLIGENCEijcsit
Intelligent Models for predicting diseases whether building a model to help the doctor or even preventing its spread in an area globally, is increasing day by day. Here we present a noble approach to predict the disease prone area using the power of Text Analysis and Machine Learning. Epidemic Search model using the power of the social network data analysis and then using this data to provide a probability score of the spread and to analyse the areas whether going to suffer from any epidemic spread-out, is the main focus of this work. We have tried to analyse and showcase how the model with different kinds of pre-processing and algorithms predict the output. We have used the combination of words-n grams, word embeddings and TFIDF with different data mining and deep learning algorithms like SVM, Naïve Bayes and RNN-LSTM. Naïve Bayes with TF-IDF performed better in comparison to others.
The document discusses the challenges of drawing insights from big data. It notes that interpreting big data requires critical thinking to understand human expression and account for uncertainty. Managers can better understand data by asking focused questions, considering language and cultural differences, and using multiple disciplines like linguistics and ethics. While big data offers opportunities, organizations must thoughtfully source, analyze, and communicate data to earn and maintain public trust.
Intelligent Models for predicting diseases whether building a model to help the doctor or even preventing its spread in an area globally, is increasing day by day. Here we present a noble approach to predict the disease prone area using the power of Text Analysis and Machine Learning. Epidemic Search model using the power of the social network data analysis and then using this data to provide a probability score of the spread and to analyse the areas whether going to suffer from any epidemic spread-out, is the main focus of this work. We have tried to analyse and showcase how the model with different kinds of pre-processing and algorithms predict the output. We have used the combination of words-n grams, word embeddings and TFIDF with different data mining and deep learning algorithms like SVM, Naïve Bayes and RNN-LSTM. Naïve Bayes with TF-IDF performed better in comparison to others.
The team conducted user research including interviews and a survey to understand stress, anxiety, and self-care practices of young professionals aged 25-35. They discovered that stress and anxiety negatively impact health and well-being. The team defined the problem as a need to better equip users to manage stress and anxiety so they can reach their full potential. They developed a self-care app called Feather to offer effective stress and anxiety coping tools like breathing exercises. The team iterated on user flows, wireframes and a prototype based on usability testing feedback to create a simple, minimalist app experience focused on proven self-care methods.
1) Smart interventions delivered through mobile applications have the potential to overcome obstacles of traditional cognitive behavioral therapy (CBT) by providing real-time, personalized CBT.
2) The company Minddistrict has developed a platform that uses experience sampling data collected through a mobile diary app to provide automated, personalized interventions tailored to each individual's needs and delivered in the moment.
3) Minddistrict's approach involves three stages - from brief assessments and supportive messages, to using correlations to determine personal risk factors and provide insights, to training reinforcement learning algorithms that can adapt interventions over time based on what works best for that individual.
The document discusses bitter taste receptors and how they vary between organisms based on diet. Herbivores tend to have more functional bitter taste receptors to protect against plant toxins, while carnivores like cats have lost sweet taste receptors due to lack of plant material in their diets. Tracking homologous genes between organisms reveals their evolutionary relationships, as advantageous genes like those coding for bitter taste receptors are passed on while disadvantageous ones are removed through purifying selection.
IRJET - A Review Paper on Various Depression Analysing AlgorithmsIRJET Journal
This document discusses various machine learning algorithms that can detect depression from text, audio, video, and other data sources. It summarizes a research paper on algorithms for early depression detection. The paper describes how natural language processing and recurrent neural networks can analyze text-based conversations to identify keywords linked to depression. A chatbot is proposed that would ask users questions daily and use their answers to assess their depression levels over time and produce a report for therapists. This could help users open up more easily and receive treatment before depression worsens.
Evaluating a Wrist Worn Application for Students with Neurodevelopmental Diso...Vivian Motti
This document summarizes research evaluating WELI, a wrist-worn smartwatch application designed to assist young adults with neurodevelopmental disorders in inclusive college classes. The research involved requirement elicitation, prototyping, user studies, and a field study testing WELI over two semesters. Key findings were that WELI allowed for discreet and subtle assistance, with focus and reward interventions being most common and effective. However, wearables may also introduce distractions, and more research is needed on long-term engagement and personalized intervention models.
This document discusses several data breaches that have exposed the personal information of millions of individuals. It also discusses how over 12 million Americans have shared their DNA data with companies like 23andMe and AncestryDNA. While this can help medical research, it also raises privacy concerns about potential genetic discrimination and challenges with informed consent. The document provides recommendations for patients, practitioners, and stakeholders to help address these privacy challenges through practices like informing patients, limiting data use, ensuring accountability, and identifying risks.
Modern Privacy
Call for action for stakeholders to ensure privacy in healthcare solutions
Presented during the Modern Privacy Symposium at Bentley University in Boston on June 10th, 2019
Wearable Health: Opportunities and ChallengesVivian Motti
This document discusses opportunities and challenges with wearable health technologies. It describes various form factors like watches, clothing, and accessories that can incorporate sensors to continuously monitor users. Sensors can track metrics like heart rate, activity, and environment. Wearables provide opportunities for constant data collection and easy access to prompt users. However, challenges include limited battery life, privacy concerns over personal data collection, and ensuring comfortable user experiences. While wearable technology adoption is increasing, sustained use remains difficult and open questions around standards, energy usage, and mainstream appeal still exist.
This study analyzed 500 Instagram posts with the hashtag #Microcephaly to understand how caregivers of patients with microcephaly use social media. The majority of posts showed female patients and their mothers engaging in daily routines. Caregivers used Instagram to share information, celebrate milestones, fundraise, and provide social support to cope with caring for patients. Hashtags and captions were mostly positive and focused on love, faith, and patients' progress. The study found Instagram is an accessible and empowering tool for caregivers.
Wearable Life: a Wrist-Worn Application to Assist Students in Special EducationVivian Motti
Slides presented at the HCII 2017 - International Conference on Human Computer Interaction, describing the implementation of Wearable Life - a smartwatch application developed to support students with intellectual and developmental disabilities in a post-secondary inclusive educational program
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Introduction of Cybersecurity with OSS at Code Europe 2024
Write mind
1. +
WriteMind: a Journal for Caregivers
Leveraging Sentiment Analysis to Provide Resource Recommendations
Vivian Genaro Motti, Olga Lorenz, Chris Hill, Mehak Khokar
Nathaniel Kamau, Jesus Mejilas Garcia, Laura Schoen
George Mason University
WriteMind is an interactive journal that uses sentiment
analysis of diary entries to provide resource
recommendations for caregivers. WriteMind helps with self-
care, raising caregivers’ awareness about their sentiments.
Caregivers are responsible for numerous stressful activities
and feel often overwhelmed. They face problems that range
from socio-economic burden to emotional distress.
Caregivers are not always trained professionals, and often
execute their activities voluntarily.
WriteMind
[1] F. C. Alliance. 2009. National Center on Caregiving. Caregiving
(2009). http://www.caregiver.org/caregiver
[2] Caregiving. 2018. NAC Caregiver. Infographic (February 2018).
https://www.caregiving.org/wp-content/uploads/2018/02/
NAC-Rare-Caregiver-Infographic_February-2018.pdf
[3] Diane Chau and Thomas Osborne. 2017. Using Technology to
Improve Care of Older Adults. Springer Publishing Company.
[4] Véronique Faucounau, Ya-Huei Wu, Mélodie Boulay, Marina
Maestrutti, Anne-Sophie Rigaud, et al. 2009. Caregivers’
requirements for in-home robotic agent for supporting community-
living elderly subjects with cognitive impairment. Technology and
Health Care 17, 1 (2009), 33–40.
[5] National Alliance for Caregiving. 2018. From Insight to Advocacy.
[6] Elizabeth D Mynatt, Jim Rowan, Sarah Craighill, and Annie
Jacobs. 2001. Digital family portraits: supporting peace of
mind for extended family members. In Proceedings of the SIGCHI
conference on Human factors in computing systems. ACM, 333–
340.
[7] Report. 2019. Caregiver Statistics. Caregivers (2019). http://
s2s.care/resources/caregiver-statistics-reports
[8] Rachel Stuck and Wendy Rogers. 2017. Understanding Older
Adult’s Perceptions of Factors that Support Trust in Human
and Robot Care Providers. In Proc. of the 10th Int. Conf. on
Pervasive Technologies Related to Assistive Env. ACM, 372–377.
[9] World Health Organization et al. 2016. Working for health and
growth: investing in the health workforce. (2016)
The potential of technology to support caregiving is promising to provide socio-emotional support, to improve self-care,
and to stimulate cognitive functions. WriteMind raise users awareness about resources. Despite being specified and
implemented after an in-depth interview with caregivers, additional evaluations showed that not all caregivers have the
time to sit and write about their days. Unless it is already a habit, it may be challenging to foster adoption.
Discussion
Technology advances contributed to provide socio-
emotional support for caregivers and older adults,
however most solutions focus on unidirectional
channels, primarily giving voice to the elderly,
instead of helping to fulfill caregivers’ needs.
WriteMind is a journaling tool that enables
caregivers to express their emotions, thoughts, and
feelings and to receive relevant resource
recommendations. WriteMind is a low-cost,
accessible, and intuitive solution. As future work,
we will integrate WriteMind with voice assistants,
so that caregivers who do not have the habit to
write can talk about their concerns. The automated
transcription of the voice recognition could serve
for sentiment analysis and recommendations of
services and products. There are concerns related
to the accuracy of the algorithms of recognition,
and the unfamiliarity of caregivers with voice-based
interaction; as well as privacy and security
concerns associated to the tool, for users to fully
benefit from the journal they have to trust the
system.
Conclusion
The aging of the world’s population affects healthcare and
caregiving services [6], impacting service delivery, healthcare
professionals and direct care workforce. 3.5 million additional
healthcare professionals will be needed by 2030 [5], with
geriatrics and mental health standing out as priorities for
specialized workplaces [9]. Caregiving services are
increasingly needed, but they are also scarce, expensive and
difficult to scale, especially when provided individually without
technology. To provide care, monitoring and interventions,
caregivers assist older adults with companionship, reminders
for medication, daily living activities, physical exercises, and
cognitive stimulation.
Caregivers feel overwhelmed due to their high workload.
They are often untrained and subject to high stress levels [7]
[2]. The shortage of care professionals increases the demand
for caregiving services. Such activities, unless augmented by
technologies, will result in poorer individual outcomes [3].
Caring from a distance is more challenging, emotionally and
logistically [1]. Thus, providing home health care becomes
one of the best interventions to support comfortable aging [8],
especially when technologies that respond to the growing
demand for caregivers are integrated [4].
[ Five mockups of WriteMind illustrating login and menu (top),
account settings (middle), and diary entry (bottom). ]
References
Features
WriteMind was implemented in Ruby on Rails and React to enable caregivers to express their thoughts and feelings
by writing. The project specification derives from an analysis of caregivers’ needs for self-care and socio-emotional
support. WriteMind integrates sentiment analysis and recommendation algorithms to match users’ needs to relevant
resources, providing: 1) diary entry, 2) calendar and weekly digest, 3) sentiment analysis, and 4) recommendations.
2) Calendar and Weekly Digests
The calendar shows users the
entries posted, providing an
overview of their sentiment
throughout time and allowing
users to reflect on their previous
days to raise awareness, and
encourage them to seek for
external help if needed.
To aid with habit formation, the
visualization of the entries gives
users a sense of accomplishment.
Users can opt to receive weekly
digests via email or using
WriteMind, including a breakdown
of their week and recommended
resources.
3) Sentiment Analysis
The text analysis on the diary
entry serves to assess the
affective state of the user, based
on the words used and the
sentiments expressed. Sentiment
analysis seeks for subjective
assessment of users’ emotions,
and helps to monitor their
variation along time.
An emoticon is presented when
users complete their posts
enabling them to reflect on their
feelings raising their awareness.
The calendar view includes all the
sentiments registered for prior
posts.
1) Diary Entry
Analogously to a white page of a
notebook, the diary entry allows
users to write about their routines
and feelings. A prompt message is
initially presented on the interface
(’How is your day going?’).
Once the text is posted, it is
analyzed and a sentiment score
calculated. Keywords are used to
show relevant recommendations
matching users’ needs, for
instance if the caregiver is
seeking for assisted living
facilities, a list of potential
services is provided.
4) Resource Recommendation
Based on the needs that users
express in a post, relevant
products and services is
presented. The advice is fed by
an intelligent recommendation
system that match keywords to
recommendations. It is up to the
caregiver to access and use the
recommendation as relevant.
Recommendations include
products, services, and social
support, such as: housing and
wellness services, hospices,
groceries, transportation, mental
health, faith, community and
social groups
Motivations