NIH/Career Development Award Workshop
Leslie Raffel, MD
Associate Director and Cedars-Sinai Site Director
UCLA Clinical and Translational Science Institute
Using alternative scholarly metrics to showcase the impact of your research: ...SC CTSI at USC and CHLA
Date: Feb 7, 2018
Speaker: Caroline Muglia, Co-Associate Dean for Collections and Technical Services; and Head, Resource Sharing and Collection Assessment, USC Libraries
Overview: Scholarship is increasingly being created, disseminated, and measured on digital and social platforms. If Twitter exchanges, Facebook “saves,” and YouTube hits are the new metrics for tracking scholarship, how are we measuring societal and educational impact and outreach? How can researchers display their research impact using social media on promotion and tenure dossiers? This webinar will discuss altmetrics, alternative scholarly metrics that measure the impact and use of scholarship. We will focus on PlumX, the tool used at USC, which combines traditional and new metrics to paint a comprehensive portrait of your scholarly output and its reach in various communities and with different stakeholders.
Digital Scholar Webinar: Clinicaltrials.gov Registration and Reporting DocumentsSC CTSI at USC and CHLA
This 60-minute webinar covers the basic requirements for registration and results reporting requirements in Clinicaltrials.gov. Tips and tricks will be provided, as well as the most common issues to avoid to ensure a smooth and efficient process for public posting and updates to clinical studies. Learning Objectives At the conclusion of this webinar, participants will be able to identify internal contacts and resources available to assist with their Clinicaltrials.gov registration or results reporting.
NIH/Career Development Award Workshop
Leslie Raffel, MD
Associate Director and Cedars-Sinai Site Director
UCLA Clinical and Translational Science Institute
Using alternative scholarly metrics to showcase the impact of your research: ...SC CTSI at USC and CHLA
Date: Feb 7, 2018
Speaker: Caroline Muglia, Co-Associate Dean for Collections and Technical Services; and Head, Resource Sharing and Collection Assessment, USC Libraries
Overview: Scholarship is increasingly being created, disseminated, and measured on digital and social platforms. If Twitter exchanges, Facebook “saves,” and YouTube hits are the new metrics for tracking scholarship, how are we measuring societal and educational impact and outreach? How can researchers display their research impact using social media on promotion and tenure dossiers? This webinar will discuss altmetrics, alternative scholarly metrics that measure the impact and use of scholarship. We will focus on PlumX, the tool used at USC, which combines traditional and new metrics to paint a comprehensive portrait of your scholarly output and its reach in various communities and with different stakeholders.
Digital Scholar Webinar: Clinicaltrials.gov Registration and Reporting DocumentsSC CTSI at USC and CHLA
This 60-minute webinar covers the basic requirements for registration and results reporting requirements in Clinicaltrials.gov. Tips and tricks will be provided, as well as the most common issues to avoid to ensure a smooth and efficient process for public posting and updates to clinical studies. Learning Objectives At the conclusion of this webinar, participants will be able to identify internal contacts and resources available to assist with their Clinicaltrials.gov registration or results reporting.
Could this change how radiology residents record their clinical output?Apparao Mukkamala
Radiology residents around the world typically record experiential learning (EL) in a clinical logbook, but according to a new study published in the Journal of Digital Imaging, modern PACS and RIS technology could very well be used to build the EL portfolios of the future. https://www.radiologybusiness.com/topics/imaging-informatics/pacs-ris-radiology-residents-clinical-output
Welcome Remarks and Overview of CTSI ResourcesUCLA CTSI
Welcome Remarks and Overview of CTSI Resources
Steven Dubinett, MD
Director, UCLA Clinical and Translational Science Institute
President/CEO, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center
MINING HEALTH EXAMINATION RECORDS A GRAPH-BASED APPROACHNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Text Mining Radiology Reports for Deep Learning Radiology Images Yifan Peng
Although hospitals have accumulated a tremendous number of radiology images and reports, using them to build data-hungry deep-learning models remains challenging. This is partially because manually annotating a dataset in large scale is costly. Here, we propose using text mining to automatically generate a weakly-labeled dataset for detecting thoracic diseases in radiology images. This work represents the first attempt to unify text mining with computer vision for medical imaging analysis in the era of deep learning.
Support & information for radiotherapy patients: how can social media help?KimMeeking
Slides from my presentation looking at social media for patient benefit and also for healthcare professionals in the field of cancer and radiation therapy.
Presented at the UK Radiological and Radiation Oncology Congress (UKRCO), Liverpool, July 2nd 2018
Decision aids help patients and clinicians decide on the best course of treatment, incorporating evidence from systematic reviews, patient values, individual risk factors, and expert recommendations, all in an intuitive and interactive format.
Thank You for referencing this work, if you find it useful!
Vlad Manea, Katarzyna Wac, mQoL: Mobile Quality of Life Lab:
From Behavior Change to QoL, Mobile Human Contributions: Opportunities and Challenges (MHC) Workshop in conjunction with UBICOMP, Singapore, October 2018.
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Could this change how radiology residents record their clinical output?Apparao Mukkamala
Radiology residents around the world typically record experiential learning (EL) in a clinical logbook, but according to a new study published in the Journal of Digital Imaging, modern PACS and RIS technology could very well be used to build the EL portfolios of the future. https://www.radiologybusiness.com/topics/imaging-informatics/pacs-ris-radiology-residents-clinical-output
Welcome Remarks and Overview of CTSI ResourcesUCLA CTSI
Welcome Remarks and Overview of CTSI Resources
Steven Dubinett, MD
Director, UCLA Clinical and Translational Science Institute
President/CEO, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center
MINING HEALTH EXAMINATION RECORDS A GRAPH-BASED APPROACHNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Text Mining Radiology Reports for Deep Learning Radiology Images Yifan Peng
Although hospitals have accumulated a tremendous number of radiology images and reports, using them to build data-hungry deep-learning models remains challenging. This is partially because manually annotating a dataset in large scale is costly. Here, we propose using text mining to automatically generate a weakly-labeled dataset for detecting thoracic diseases in radiology images. This work represents the first attempt to unify text mining with computer vision for medical imaging analysis in the era of deep learning.
Support & information for radiotherapy patients: how can social media help?KimMeeking
Slides from my presentation looking at social media for patient benefit and also for healthcare professionals in the field of cancer and radiation therapy.
Presented at the UK Radiological and Radiation Oncology Congress (UKRCO), Liverpool, July 2nd 2018
Decision aids help patients and clinicians decide on the best course of treatment, incorporating evidence from systematic reviews, patient values, individual risk factors, and expert recommendations, all in an intuitive and interactive format.
Thank You for referencing this work, if you find it useful!
Vlad Manea, Katarzyna Wac, mQoL: Mobile Quality of Life Lab:
From Behavior Change to QoL, Mobile Human Contributions: Opportunities and Challenges (MHC) Workshop in conjunction with UBICOMP, Singapore, October 2018.
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Visual Analytics for Healthcare - Panel at AMIA 2012 in ChicagoAdam Perer
AMIA 2012 Panel on Visual Analytics for Healthcare
Organizer:
Adam Perer, PhD
Research Scientist
IBM T.J. Watson Research Center, Hawthorne, NY
Panelists:
Ben Shneiderman, PhD
Professor, Computer Science
University of Maryland, College Park, MD
Yuval Shahar, PhD
Professor, Head of the Medical Informatics Research Center
Ben Gurion University, Beer Sheva, Israel
Jeffrey Heer, PhD
Assistant Professor, Computer Science
Stanford University, Stanford, CA
David Gotz, PhD
Research Scientist
IBM T.J. Watson Research Center, Hawthorne, NY
Abstract
With the proliferation of medical information technology, users at all levels of the healthcare system have access to more data than ever before6. This data can be of tremendous value but is often difficult to access and interpret. For example clinicians are often faced with the challenging task of analyzing large amounts of unstructured, multi-modal, and longitudinal data to effectively diagnose and monitor the progression of a patient’s disease4,5. Similarly, patients are confronted with the difficult task of understanding the trends and correlations within data related to their own health. At the institutional level, healthcare organizations are faced with the desire to use data to improve overall operational efficiency and performance, while continuing to maintain the quality of patient care and safety.
Recent advances in visualization and visual analytics have the potential to help each of the user groups listed above do more with the often overwhelming amount of data available to them 1,3,7,8. However, to be successful, visualization designers and clinicians must work together closely to ensure that the right technologies are used to help address the meaningful problems. Unfortunately, despite the continuous use of scientific visualization and visual analytics in medical applications, the lack of communication between engineers and physicians has meant that only basic visualization and analytics techniques are currently employed in clinical practice2,9.
The goal of this panel is to present state-of-the-art visualization applications for healthcare and engage the leading physicians and clinical researchers at AMIA to discuss the areas in healthcare where additional visualization techniques are most needed.
Univ of Miami CTSI: Citizen science seminar; Oct 2014Richard Bookman
The University of Miami's Clinical & Translational Science Institute runs a seminar course for MS students.
This talk surveys 8 citizen science projects, reviews NIH's current activities, and identifies issues for attention, particularly with ethical, legal and social implications.
MseqDR consortium: a grass-roots effort to establish a global resource aimed ...Human Variome Project
The success of whole exome sequencing (WES) for highly heterogeneous disorders, such as mitochondrial disease, is limited by substantial technical and bioinformatics challenges to correctly identify and prioritize the extensive number of sequence variants present in each patient. The likelihood of success can be greatly improved if a large cohort of patient data is assembled in which sequence variants can be systematically analysed, annotated, and interpreted relative to known phenotype. This effort has engaged and united more than 100 international mitochondrial clinicians, researchers, and bioinformaticians in the Mitochondrial Disease Sequence Data Resource (MSeqDR) consortium that formed in June 2012 to identify and prioritize the specific WES data analysis needs of the global mitochondrial disease community. Through regular web-based meetings, we have familiarized ourselves with existing strengths and gaps facing integration of MSeqDR with public resources, as well as the major practical, technical, and ethical challenges that must be overcome to create a sustainable data resource. We have now moved forward toward our common goal by establishing a central data resource (http://mseqdr.org/) that has both public access and secure web-based features that allow the coherent compilation, organization, annotation, and analysis of WES and mtDNA genome data sets generated in both clinical- and research-based settings of suspected mitochondrial disease patients. The most important aims of the MSeqDR consortium are summarized in the MSeqDR portal within the Consortium overview sections. Consortium participants are organized in 3 working groups that include (1) Technology and Bioinformatics; (2) Phenotyping, databasing, IRB concerns and access; and (3) Mitochondrial DNA specific concerns. The online MSeqDR resource is organized into discrete sections to facilitate data deposition and common reannotation, data visualization, data set mining, and access management. With the support of the United Mitochondrial Disease Foundation (UMDF) and the NINDS/NICHD U54 supported North American Mitochondrial Disease Consortium (NAMDC), the MSeqDR prototype has been built. Current major components include common data upload and reannotation using a novel HBCR based annotation tool that has also been made publicly available through the website, MSeqDR GBrowse that allows ready visualization of all public and MSeqDR specific data including labspecific aggregate data visualization tracks, MSeqDR-LSDB instance of nearly 1250 mitochondrial disease and mitochodnrial localized genes that is based on the Locus Specific Database model, exome data set mining in individuals or families using the GEM.app tool, and Account & Access Management. Within MSeqDR GBrowse it is now possible to explore data derived from MitoMap, HmtDB, ClinVar, UCSC-NumtS, ENCODE, 1000 genomes, and many other resources that bioinformaticians recruited to the project are organizing.
Genomics, Cellular Networks, Preventive Medicine, and SocietyLarry Smarr
09.12.11
Invited Talk
Guest Lecture to UCSD Medical and Pharmaceutical Students
Genetics in Medicine Course
Amphitheater of the Pharmaceutical Sciences Bldg
Title: Genomics, Cellular Networks, Preventive Medicine, and Society
La Jolla, CA
GenomeTrakr: Perspectives on linking internationally - Canada and IRIDA.cafionabrinkman
Talk at GenomeTrakr network meeting Sept 23 2015 in Washington DC. On Canada's open source Integrated Rapid Infectious Disease Analysis (IRIDA) bioinformatics platform - aiding genomic epidemiology analysis for public health agencies with planned open data release and linkage to GenomeTrakr. Discussed perspectives, challenges, solutions for getting more GenomeTrakr participation internationally.
The Learning Health System: Thinking and Acting Across ScalesPhilip Payne
A Learning Health System (LHS) can be defined as an environment in which knowledge generation processes are embedded into daily clinical practice in order to continually improve the quality, safety, and outcomes of healthcare delivery. While still largely an aspirational goal, the promise of the LHS is a future in which every patient encounter is an opportunity to learn and improve that patient’s care, as well as the care their family and broader community receives. The foundation for building such an LHS can and should be the Electronic Health Record (EHR), which provides the basis for the comprehensive instrumentation and measurement of clinical phenotypes, as well as a means of delivering new evidence at the patient- and population levels. In this presentation, we will explore the ways in which such EHR-derived phenotypes can be combined with complementary data across a spectrum from biomolecules to population level trends, to both generate insights and deliver such knowledge in the right time, place, and format, ultimately improving clinical outcomes and value.
Workshop: Effective Patient Adherence Management by Engaging Enabling Technologies
Pei-Yun Sabrina Hsueha, Vimla L. Patelb, Fernando Sanchezc, Marcia Itod,e, Chohreh Partoviana, María V. Giussi Bordonig, Marion Ballf,a
a IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
b Center for Cognitive Studies in Medicine and Public Health, the New York Academy of Medicine, New York, NY, USA
c Health and Biomedical Informatics Center, University of Melbourne, Melbourne, Australia
d IBM Brazil Research Lab, Sao Paolo, Brazil
e Telehealth/Teledentistry Center, School of Dentistry, University of Sao Paulo, Sao Paulo, Brazil
f Johns Hopkins University, Baltimore, MD, USA
g Health Informatics Department, Hospital Italiano de Buenos Aires, Argentina.
Abstract
Effective patient adherence management strategies require better understanding of patient-generated data, including patient-reported data and measurements from devices and sensors, as key to assisting providers in learning more about their patients’needs and enhancing patient centric care. Gaining “meaningful use” of patient-generated data could ultimately lead to improvements in patient safety and outcomes. In this workshop, we review proof of concept studies using technology to assess patient health literacy and self-efficacy with the goal of providing timely intervention, remedy, and improvements in cost and quality of care. In particular, we focus on engagement-enabling technolgoies that can leverage non-clinical information sources and reflect patient activities in the “wild”. We look into barriers to adherence, patients and providers roles in improving adherence, and the use of technology to assist patients in staying on track. The speakers will address the issues related tothe integration of patient-generated data into everyday life and clinical practice and share lessons learned from implementing these designs in practice. This workshop aims to share requirements gathered for the design of next-generation healthcare systems, especially in areas where the explosive availability of patient-generated data is expected to make impacts.
An overview of genomic epidemiology, Canada's IRIDA project for genome-based outbreak investigation, and a breathless romp through the awesome potential of the MinION
Digital Access to the World's Literature: A Blueprint to Integrate Evidence w...Elaine Martin
Lamar Soutter Library Director Elaine Martin and Consultant Karen Dahlen introduce a digital public health library initiative that supports national and state public health departments. Success stories and next steps to build a sustainable digital library model for all public health department is covered.
Updates on the BioSense Program Redesign: 2011 Public Health Preparedness SummitTaha Kass-Hout, MD, MS
Most state and local health departments are involved in on-going traditional disease surveillance and are beginning to access information through health information exchange with clinical partners. Biosurveillance initiatives offer the opportunity to leverage these existing initiatives while providing important data to protect community health. Building on these existing activities and relationships is key to the success of national initiatives such as BioSense Redesign and meaningful use of electronic health records as a component of the evolving nationwide health information network (NHIN). During this session/workshop, the National Association of County and City Health Officials (NACCHO) and the Association of State and Territorial Health Officials (ASTHO) in association with the Centers for Disease Control and Prevention will address discuss the BioSense redesign effort and provide opportunities for extended engagement of local and state health officials. This workshop encourages the participation of public health emergency responders, and local public health personnel involved in bio-surveillance for emergency preparedness and response within their jurisdictions.
This year's 3rd Annual TCGC: The Clinical Genome Conference, held June 10-12, 2014 in San Francisco, is a three-day event that weaves together the science of sequencing and the business of implementing genomics in the clinic. It uniquely illustrates the mutual influence of those areas and the need to therefore consider the needs, challenges and opportunities of both - from next-generation sequencing and variant interpretation to insurance reimbursement and electronic health records - throughout the entire research process.Learn more at http://www.clinicalgenomeconference.com
Update to the International Meeting on Emerging Diseases and Surveillance (IMED) community on the latest activities for the BioSense Program redesign and public health syndromic surveillance (PHSS) meaningful use objective.
Similar to Shneiderman info vismedical-amia-panel-v2 (20)
Presentation for Collective Intelligence conference at MIT, 4/19-20/2012, File name:
Collective intelligence 2012-shneiderman-v2
Covers policy issues for social media research, mention of our work and intro to NodeXL
Information Visualization for Medical Informatics
Lifelines, Lifelines2, LifeFlow, treemaps, networks
(slide file: Shneiderman info vismedical-georgetown-v1 )
Presentation on SHARP projects: Medication reconciliation, tracking medical lab tests, systematic yet flexible systems analysis, and preventing wrong patient errors. Houston, TX April 4, 2012
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Shneiderman info vismedical-amia-panel-v2
1. Information Visualization in Medical Informatics
Ben Shneiderman ben@cs.umd.edu @benbendc
Founding Director (1983-2000), Human-Computer Interaction Lab
Professor, Department of Computer Science
Member, Institute for Advanced Computer Studies
University of Maryland
College Park, MD 20742
6. Treemap: WHC Emergency Room
(6304 patients in Jan2006)
Group by Admissions/MF, size by service time, color by age
7. Treemap: WHC Emergency Room
(6304 patients in Jan2006) (only those service time >12 hours)
Group by Admissions/MF, size by service time, color by age
13. LifeFlow: Aggregation Strategy
Temporal
Categorical Data
(4 records)
LifeLines2 format
Tree of Event
Sequences
LifeFlow Aggregation
www.cs.umd.edu/hcil/lifeflow
19. Office of National Coordinator: SHARP
Strategic Health IT Advanced Research Projects
- Security of Health Information Technology
- Patient-Centered Cognitive Support
- Healthcare Application and Network Platform Architectures
- Secondary Use of EHR Data
Univ of Maryland HCIL tasks
- Missing Laboratory Reports
- Medication Reconciliation
- Alarms and Alerts Management
www.cs.umd.edu/hcil/sharp
20. Lab test tracking to ensure completion
Define tracking processes
Assign temporal responsibility
Define possible actions
Predict expected duration
Generate User Interface from processes
Enhance situation awareness
Integrate follow-up actions with results
Simplify rapid operations
Provide retrospective analysis
PhD work: Sureyya Tarkan
21.
22. Twinlist: Medication Reconciliation
”Best reconciliation app
I have ever seen”
Dr. Shawn Murphy, PartnersHealthcare & Harvard Medical
”Super-cool demo”
Dr. Jonathan Nebeker, Univ of Utah & VA
Tiffany Chao, Catherine Plaisant, Ben Shneideman
Based on class project of : Leo Claudino, Sameh Khamis, Ran Liu, Ben London, Jay Pujara
Students of CMSC734 Information Visualization class
(a) shows the main visualization of multiple EHRs. (b) is a temporal summary, showing the distribution of the three event types Admit, Exit, and ICU over time. (c) is the control panel for Lifelines2. Each of the 318 patients is aligned by their 1st occurrence of IMC, ranked by the number of ICU events, and filtered by the sequence of events.
Using LifeFlow, 7,041 patients are aggregated into this visualization and LifeFlow immediately reveal the most common pattern, which you could not do easily in SQL.You could easily notice this huge pattern “Arrival -> ER -> Exit”, meaning patients who visited with minor injuries or simple conditions and left the hospital immediately after receiving their treatment.When hovering the mouse over, LifeFlow displays a tooltip that gives more information, such as number of patients and other statistics, and also shows the distribution of the patients. As the horizontal gap represents time, you can see from the distribution that some patients left the hospital very quickly after visiting the emergency room while some of them stayed longer. *optionalThe second most common pattern is “Arrival (Blue) -> ER (Pink) -> Floor (Green) -> Exit (Cyan)”, meaning patients who were admitted to observe the conditions and then everything went well so they left the hospital. You can also use the horizontal gap to compare these patients with the patients who exit from the emergency room. Comparing the gap from pink to cyan and pink to green, you can see that the gap from pink to green is smaller than pink to cyan, so the patients were transferred to Floor faster than exit the hospital in average.You have seen the two most common cases, now I will remove the common patterns so we can analyze the less frequent patterns.
After removing all the common cases, we have 344 patients left. These are mostly the patients who were admitted. There are many information that I can explain from this visualization here, but I will go straight into the case that our physician partners are mostly interested in. The mouse is pointing at this sequence, which represents the “bounce backs” patients, meaning patients who were transferred from ICU to Floor because they seemed to get better, however, they were transferred back to the ICU. So the physician are interested in finding these patients to analyze what made them made the wrong decisions. *optionalAnother case is the step ups, which means the patients whose level of care were escalated to higher level, you can see from the visualization that there were patients who were transferred from ER to Floor (green) to ICU (red) and IMC (orange). The number of these patients and the average transferred time could be compare to the hospital standards to measure the quality of care.
Ben: This slide is optional. You can use it to show that when you click on the bounce backs patients, you can get the details of each patient in LifeLines2 view.
Another interesting feature is you can align by a particular event.For example, if you want to know what happened before and after the patients went to the ICU, you can align by ICU.The dash line separate between what happened before and what happened after. You can see that the ICU patients mostly came from the ER (pink), and most of them were transferred to Floor (green) after that.Unfortunately, some of them died after they were transferred to the ICU (black).From this visualization, you may notice a small pattern in the bottom. Let me zoom in.
So this patient was dead before transferred to the ICU, which is impossible. Of course, this must be problem with data entry. But we may never notice it if the data are hidden in the database.Therefore, you can see that LifeFlow support this kind of analysis bygiving overview, showing common trends, providing summary of every sequences, you can do SQL and calculate average for every transfer if you like, but in LifeFlow, it is right there, you just need to move your mouse over. showing every possible transfer pattern and may led you to a discovery of surprising pattern.