MedPath Designer: A Process-based Modeling Language for Designing Care Pathways
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MedPath is a domain-specific language created by Intmed, a Brazilian health tech company, to model and design care pathways using Model-Based Systems Engineering (MBSE) and the Sirius modeling tool. MedPath allows experts to collaboratively design pathways that are then interpreted and executed through MedPath's dashboard and system. The pathways can be rapidly updated and shared to guide doctors and improve patient care. Intmed has used MedPath to model over 200 care protocols for various medical specialties and conditions, including COVID-19. Evaluations found Sirius to be a good fit for quickly constructing and evolving their DSL and integrating pathways with legacy systems through interpretation.
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Quahog Life Sciences is building an AI based Healthcare Decision System (Health DS) that promises to take the accuracy of health care decisions to a new level using machine learning and advanced analytics.
Startups Step Up - how healthcare ai startups are taking action during covid-...
All around the world, people are facing unprecedented challenges and uncertainties as a result of COVID-19. At NVIDIA Inception program, a virtual incubation startup program, which hosts 5000+ AI startups, we see an army of healthcare AI startups that have mobilized to address this global health crisis. This webinar will share real world examples on how each offering plays a critical role during this pandemic.
Live event: https://www.meetup.com/Women-in-Big-Data-Meetup/events/270191555/?action=rsvp&response=3.
YouTube Link: https://www.youtube.com/watch?v=QWkKINi8u4o&feature=youtu.be
Goal-oriented modeling and traceability recovery for IoT Ecosystems
Hironori Washizaki, Goal-oriented modeling and traceability recovery for IoT Ecosystems, NII Shonan Meeting SENCPS, Aug 23, 2017, Shonan Village
Popsi Cube 2011
We have a unique profile for a CRO providing distinctive and innovative dual expertise by combining clinical research implementation with the development of customized IT applications specific to the pharmaceutical industry.
Pistoia Alliance USA Conference 2016
This document summarizes a flexible analytical platform for precision clinical research, pharmaceutical R&D, and education. It describes the large and growing omics data analysis market and the need to extract biological meaning from big biomedical data. The platform uses machine learning, biological pathway analysis, visualization, and other techniques to analyze genomics, proteomics, transcriptomics, metabolomics, and other omics data types. It provides basic processing, predictive modeling, and decision support to help with clinical trials, molecular diagnostics, and more. The business model involves remote cloud access, full-service projects, reporting, customization, and educational programs. Testimonials highlight how the platform has helped diverse research teams.
2004 10-19 rudi vdv
The document discusses the design principles and challenges of clinical information systems at AZ-VUB hospital in Belgium. It outlines the hospital's IT strategy of using a multi-layered, component-based architecture across the entire hospital. Key challenges discussed include developing clinical decision support systems, managing workflows, and addressing issues around data storage and mobility.
Poster CBIS 2012
This document presents the Concept Definition Generator (CDG), an open source tool for defining healthcare concepts using multilevel modeling specifications. The CDG allows domain experts to graphically represent healthcare concepts and automatically generate associated XML schemas. It was developed in Python with a wxPython graphical interface to run cross-platform. The CDG addresses the significant challenges of knowledge representation for semantic interoperability of electronic health records. Future work includes further standardizing healthcare terminologies and developing proper modeling tools.
Challenges in Clinical Research: Aridhia Disrupts Technology Approach to Rese...
Join Jeff Kelly, Pivotal’s Big Data Strategist and Chris Roche, Aridhia’s CEO, to learn how Big Data and data science are being applied to clinical research. Learn…
• Why research-oriented healthcare delivery organizations and academic medical centers need an ACRIS
• How improving collaboration and productivity accelerates the discovery of insights and increases competitiveness
• Why robust data security is critical to modernizing engagement between academia, industry and healthcare
• How to reduce research costs while improving commercialization opportunities
• Why enabling transparent analysis and reproducibility of research are key to scientific progress
• Best practices to get started on your digital transformation and Big Data journey
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The Hyve
In this talk, the Personal Health Train concept will be introduced, which enables running personalized medicine workflows as trains visiting data stations (e.g. hospital records, primary care records, clinical studies and registries, patient-held data from e.g. wearable sensors etc.) The Personal Health Train is a very powerful concept, which is however dependent on source medical data to be coded with appropriate metadata on consent, license, scope etc. of the data, and the data itself to be encoded using biomedical data standards, which is an ever growing field in biomedical informatics. In order to realize the Personal Health Train biomedical data will need to be FAIR, i.e. adopt the FAIR Guiding Principles. This talk will cover the emerging GO-FAIR international movement, and provide examples of how several European health data networks currently are adopting open standards based stacks, to enable routine health care data to be come accessible for research.
Making Terminology Work
The document discusses making clinical terminology work by driving in-situ use of complex classification schemes using commoditized software. It notes that clinical classification involves many "wicked" influences that make the problem difficult to solve. The author proposes embedding standardized clinical terminologies into commonly used software like Microsoft Word to facilitate electronic documentation and data extraction in a way that is usable for both humans and machines without requiring technical expertise. A demonstration is provided of how standardized terminologies and other services could be integrated into word processing to support clinical documentation and decision-making.
Toward F.A.I.R. Pharma. PhUSE Linked Data Initiatives Past and Present
Abstract:
In recent years, the PhUSE organization has supported several Linked Data initiatives. The CDISC Foundational Standards as RDF is an early example of one such initiative. The results are available on the CDISC website. Subsequent proof of concept projects enjoyed marginal success at a time when pharma’s familiarity with the technology was still very limited. A recent surge in interest in F.A.I.R. data and Knowledge Graphs has sparked renewed interest in Linked Data within PhUSE and the industry at large. The recently completed “Clinical Trials Data as RDF (CTDasRDF)” spawned a new project, “Going Translational With Linked Data (GoTWLD).” GoTWLD extends the project scope of its predecessor beyond SDTM into the non-clinical domain.
Educational initiatives at PhUSE include an introductory, interactive workshop at the annual European conference (EU-Connect) and at the US Computational Science Symposium (CSS). A side-project of GoTWLD is investigating the potential use of URIs as study identifiers to promote adoption of Linked Data. Challenges remain, including the need for demonstrable return on investment and the development of user-friendly, intuitive interfaces for graph data. These challenges can be overcome if pharmaceutical companies cooperate in the pre-competitive space.
Presented at Semantics@Roche, Basel 2019-04-04
Challenges in Clinical Research: Aridhia's Disruptive Technology Approach to ...
Challenges in Clinical Research: Aridhia's Disruptive Technology Approach to ...Aridhia Informatics Ltd
This webinar with our partner Pivotal aired in July 2016.
The increasing sophistication of modern medicine, a seemingly endless supply of data, and the ability to perform large-scale computation is transforming clinical research. However, utilising data to generate new treatments and therapies has continued to prove complicated. The silo-based information systems built over the last 30 years are simply unable to scale to support today’s use cases.
Aridhia, creators of AnalytiXagility, the ground-breaking research and healthcare data analysis platform, is now enabling its customers to rapidly analyse massive amounts of data in meaningful ways to change how diseases are understood, managed and treated. Powered by Pivotal Greenplum, AnalytiXagility is at the forefront of Advanced Clinical Research Information Systems (ACRIS), one of Gartner’s 10 “Transformational Digital Disruptors in Healthcare by 2025”.
Learn how big data and data science are being applied to clinical research and:
• Why research-oriented healthcare delivery organizations and academic medical centers need an ACRIS
• How improving collaboration and productivity accelerates the discovery of insights and increases competiveness
• Why robust data security is critical to modernizing engagement between academia, industry and healthcare
• How to reduce research costs while improving commercialization opportunities
• Why enabling transparent analysis and reproducibility of research are key to scientific progress
• Best practices to get started on your digital transformation and Big Data journeyAI Safety and Regulations Navigating the Post COVID Era Aims, Opportunities, ...
Artificial Intelligence AI has become an integral part of our post COVID world, influencing various aspects of our lives, from healthcare to remote work and education. While AI offers numerous advantages, it also poses significant risks, including ethical dilemmas, bias, privacy concerns, and potential job displacement. This abstract explores the evolving landscape of AI safety and regulations in the wake of the COVID 19 pandemic. AI safety encompasses efforts to ensure that AI systems are developed and deployed responsibly, preventing unintended consequences and safeguarding individuals and society at large. In parallel, AI regulations aim to establish a framework that guides the ethical and accountable use of AI technologies. These regulations address data privacy, bias mitigation, transparency, and accountability, among other critical aspects. The advantages of AI safety and regulation are evident in their capacity to protect public health, privacy, and fairness. In healthcare, they ensure the accuracy of diagnostic AI systems and safeguard patient data. In remote work and education, they promote equitable access to AI enhanced services. Additionally, AI safety and regulation play a crucial role in supply chain resilience, mental health support, and the development of digital health records and vaccine passports. However, several limitations and challenges need to be acknowledged. Rapid technological advancements often outpace regulatory frameworks, making it challenging to maintain relevance. Global variations in regulations can create complexities for international cooperation. Overregulation can stifle innovation, while a lack of enforcement can render regulations toothless. The future trends in AI safety and regulation will be shaped by the lessons learned from the COVID 19 pandemic. We anticipate global collaboration and standardization efforts, the proliferation of ethical AI frameworks, and sector specific regulations. Transparent AI, accountability laws, and adaptive regulations will play a significant role in shaping the responsible development and deployment of AI technologies. In conclusion, AI safety and regulation are essential components of a post COVID world that seeks to harness the benefits of AI while mitigating its potential risks. The responsible development and use of AI technologies are crucial in ensuring a secure, equitable, and ethical digital future. Manish Verma "AI Safety and Regulations: Navigating the Post-COVID Era: Aims, Opportunities, and Challenges: A ChatGPT Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60087.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/60087/ai-safety-and-regulations-navigating-the-postcovid-era-aims-opportunities-and-challenges-a-chatgpt-analysis/manish-verma
Enterprise systems in healthcare: leveraging what we know from other industr...
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More from Obeo
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This document introduces ATICA4Capella, a model-based safety analysis framework and toolset for the aerospace industry. It uses the Capella modeling environment for systems engineering. The toolset allows defining functional requirements, performing a functional hazard analysis, and generating safety documentation. It also supports semi-automated fault tree analysis and is aligned with aerospace safety standards like ARP4761. A case study of applying the tools to an eVTOL vehicle design is presented. The document outlines ongoing work to further integrate requirements management and automated analysis capabilities.
INCOSE IS 2023 | You deserve more than the best in class MBSE tool
As Model-Based Systems Engineering (MBSE) becomes more widely adopted in industry, projects involving collaborating teams require efficient collaboration and coordination. This talk will explore the challenges of industrializing MBSE projects and present solutions using the Capella modeling tool. We will discuss how the Cloud for Capella, Publication for Capella and Team for Capella extensions can support effective collaboration and communication among stakeholders working on MBSE projects. These extensions enable all project participants to remain aligned and up-to-date with project progress, ensuring that the project runs smoothly and efficiently. By the end of the talk, attendees will have a better understanding of how to industrialize MBSE projects and the role Capella can play in supporting these efforts.
Biography: Stephane Lacrampe
Stephane Lacrampe co-founded Obeo in 2005 in France and acted as the company's CEO until 2018. Obeo is an independent software vendor with a global reach, leading in open-source modeling software for system and software engineers, enterprise architects, and domain modeling experts. He is now the director of Obeo Canada. He is a very active member of the Capella community and is in charge of developing the Capella ecosystem in North and South America. He is a regular MBSE speaker who speaks at conferences in America and beyond. Stephane LACRAMPE is co-chair of the INCOSE Systems Engineering Tools Database Working Group and the INCOSE Canada chapter webmaster.
Tailoring Arcadia Framework in Thales UK
Architecture frameworks provide an approach to describing systems and the presentation of these elements and relationships to deliver the stakeholder needs. Essentially, frameworks provide templates for our engineering artefacts.
The design of a framework must accommodate a level of freedom in its usage; specific enough to answer the majority of stakeholder concerns whilst generic enough to allow for differences between projects. This balancing act often results in framework design being more generic to allow for a wider audience. Having an untailored framework, which is more ‘open’, can lead to creating inconsistent viewpoints.
Arcadia is one such framework as implemented through the Capella tool. The framework provides 4 perspectives/levels for product definition:
- The Operational Analysis, where the user needs are considered. Note: no concept of the System at this level.
- The System Analysis, where we define the contribution and scope of the System as a ‘black box’, identifying external interfaces, and top-level system functions.
- The Logical Architecture, where we break the System down into logical ‘blocks’ and decompose the functionality.
- The Physical Architecture, in which we define a (candidate) physical architecture, further decompose the functions, and deploy this functionality to the physical sub-systems, hardware, software and/or firmware.
In this talk, we acknowledge the strengths of the Arcadia framework, and the benefits it brings, whilst considering the need to tailor the generic viewpoints. We will provide examples of how we have adopted the generic Arcadia framework and further specified some of the viewpoints to meet the needs of our stakeholders. We will discuss future work looking at how we can translate these specialisations across other areas of the model. Finally, we will provide some suggestions and advice on tailoring views to meet your own needs and ensuring stakeholder engagement with the model.
CapellaDays2022 | Saratech | Interface Control Document Generation and Linkag...
Generation of Interface Control Documents (ICDs) using a model-based method has a number of advantages over text-based approaches. This paper describes the Python-based software that was written to automatically generate different versions of an ICD from a structure model in Capella. One use case for this approach is checking parts changes captured in the Engineering Bill of Materials (EBOM) using a PLM tool. We demonstrate an automated workflow that links changes in the EBOM to a request to vet the change against the ICD. This presentation will discuss our rationale, approach, results, and lessons learned.
CapellaDays2022 | Politecnico di Milano | Interplanetary Space Mission as a r...
Systems engineering is an iterative approach traditionally applied one-way, from the definition of the user needs to the implementation of a solution that satisfies certain requirements and is constrained by cost and schedule. This presentation instead aims at exploring the educational benefits of applying the opposite practice, thus retrieving system and subsystem level requirements based on a solution already implemented and taking advantage of the MBSE possibilities to realize a model of the system according to the ARCADIA method and systems engineering approach, using the Capella MBSE Tool. This reverse-engineering process has been applied to a renowned Space mission, the ESA Mars Express satellite, whose goal is to investigate all aspects of the martian environment, including the subsurface, surface and atmosphere of the planet, in order to search for evidence of extinct or extant life. The uppermost goal of this project is to demonstrate the benefits for university students at a Master's level keen on systems engineering in implementing the Capella tool to retrieve the system architecture and the operational processes in a "reversed" strategy. In this work, students have been compelled to apply systems engineering processes to justify the design choices and exploit the already well-known missions and capabilities to build the architecture and functional chains as a starting point for the reverse engineering of the identified subsystems. The results prove it is possible, and also recommendable time-wise, to teach Space engineering and Systems engineering students by using this inverse approach, rather than the canonic one in which students have to design a whole mission from scratch.
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CapellaDays2022 | Thales | Stairway to heaven: Climbing the very first steps
1) The document discusses strategies for starting to implement model-based systems engineering (MBSE) and using the Capella modeling tool at Thales Avionics. It recommends strengthening fundamentals like vocabulary, demystifying MBSE and Capella, and promoting quick wins.
2) Examples of quick wins include using Capella to generate documentation from models and creating Python scripts to automatically extract content from models into tables.
3) The document emphasizes that every small step counts towards improving engineering practices through pragmatic adoption of MBSE and continuous improvement.
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COMAC is one of the leading suppliers of civil aircraft in the world. We will introduce how we use Capella in COMAC for collaborative design, including how to collaborate between overall design group and ATA design groups, and how to collaborate between different ATA design groups. We have done a series of extension development based on the System to Subsystem Transition add-on, to support the business process. These extensions include the integration from subsystem models to system model, the refinement of functional exchanges, the synchronization of newly added functional exchanges, and so on.
CapellaDays2022 | CILAS - ArianeGroup | CILAS feedback about Capella use
This document discusses CILAS's use of the Arcadia methodology and Capella tool. It provides an overview of CILAS, its activities and products in optics and lasers. It then details how CILAS uses various Arcadia artifacts and Capella throughout its projects, covering operational analysis, functional needs, logical and physical architectures. Benefits of the approach include improved knowledge management and communication, while hurdles include resistance to change and resource demands of Capella. The document concludes that Arcadia implementation has been beneficial so far but continues tailoring and metrics are needed to support further adoption.
CapellaDays2022 | ThermoFisher - ESI TNO | A method for quantitative evaluati...
Development of high-tech systems is a complex task done by diverse specialists distributed across the globe. Reference architectures including a clear functional breakdowns can support them and support their decisions. This presentation proposes an approach to improve the development of advanced electron microscopes by using Capella as an authoritative source of information. To support design decisions, a Capella AddOn has been developed to obtain quantitative information, such as throughput numbers, for a particular workflow. First, we will illustrate how functional and system decompositions can be captured and serve as company-wide architecting assets to inform design decisions. Next, we will outline how simulating Capella models can bring valuable insights to modelers. During a demo, we’ll simulate Capella’s Functional chains using the open-source simulation tool POOSL (https://github.com/eclipse/poosl) , and visualize results using the freely available TRACE4CPS tool (https://www.eclipse.org/trace4cps/). Re-using functions from the reference architecture allows us reason about design aspects such as the relation between throughput and design choices about function allocation and parallelism.
***
The open-source code of the solution is available at https://github.com/TNO/capella-workflow-dse
CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...
Project Challenges
functional and non-functional requirements
big team, multi-business units, and multi-geographical sites
MBSE skills development
...
Project engineering process based on MBSE
multi-level MBSE approach (SSS, SSDD, transition to sub-systems, ...)
incremental engineering and AGILE development
engineering artefacts used and how they're linked (ARCADIA, conventional and AGILE artefacts)
Feed Forward
Our successes and pains
What we expect from Capella for the coming years
CapellaDays2022 | SIEMENS | Expand MBSE into Model-based Production Engineeri...
Mind Game: You want to build a LEGO Mindstorms Factory for Toy Cars and you are Head of Factory Planning. You identify that your manufacturing planning team and your product design team don’t collaborate with each other, because they work in silos and speak different languages. Their progress is too slow and the results are not synchronized.
Imagine: You succeed in merging your experts into one interdisciplinary team where everyone is collaboratively working together – already in the early stages of the engineering cycle. And imagine they start to speak the same language. Doubtless, you would speed up your engineering process. Furthermore, you would also reach a synchronized global solution for your manufacturing system and to be produced toy cars, building bridges inside your organization.
But how? This has been introduced by Dr.-Ing. C. Sinnwell in February 2020 in her PhD-thesis. There, she published the latest version of a methodology referred to as “MBPE – Model-Based Production Engineering”. The MBPE-methodology is a new approach for the conceptual design of manufacturing systems based on early product information supported by MBSE using UML.
The presentation will spotlight the MBPE-methodology, explaining how to use MBSE in the context of interdisciplinary factory and manufacturing planning. Also, it will be shown, how the methodology could be adapted to be realized with Eclipse Capella instead of any UML-modeling tool, illustrated by an example on how to conceptualize and model a LEGO Mindstorms production line for Toy Cars.
Gestion applicative des données, un REX du Ministère de l'Éducation Nationale
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Slides du webinaire IS Designer du Jeudi 10 Novembre 2022.
Une approche de modélisation et de
génération automatique avec IS Designer.
Le pôle de Versailles du Ministère de l'Éducation Nationale a utilisé l'outil open-source Information System Designer sur plusieurs projets à portée nationale pour modéliser les bases de données et les couches applicatives d'accès aux données (DAO).
Ce retour d'expérience sera présenté en détail lors de ce webinaire :
✔ la démarche mise en place,
✔ comment l'outil a été utilisé,
✔ les bénéfices constatés.
"Pour la dizaine de développeurs impliqués sur ces projets, la production automatique des Tests Unitaires a aussi permis de s'approprier plus facilement le socle technique, grâce à une approche par l'exemple, mais également d’avoir une assurance de non régression sur les fonctionnalités produites."
Simulation with Python and MATLAB® in Capella
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “simulation”.
This presentation introduced how to embed Python or MATLAB® codes inside functions to do “simulation” within Capella.
From Model-based to Model and Simulation-based Systems Architectures
Achieving quality engineering through descriptive and analytical models
Systems architecture design is a key activity that affect the
overall systems engineering cost. It is hence fundamental
to ensure that the system architecture reaches a proper quality.
In this paper, we leverage on MBSE approaches and complement them
with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
Connecting Textual Requirements with Capella Models
This document provides information about a webinar hosted by The REUSE Company in 2022. It introduces the two presenters, José Fuentes and Jose Pereira, and provides details about their backgrounds and qualifications. It also outlines the contents of the webinar, which will include an introduction to The REUSE Company, a demonstration of using textual requirements with Capella, and a question and answer session.
Sirius Web Advanced : Customize and Extend the Platform
Beyond the no code approach, Sirius Web is an open and extensible platform that you can customize in order to support your needs. Discover how to develop specific features in Sirius Web and integrate your modeler with other web applications.
Stéphane Bégaudeau, Obeo
Stéphane Bégaudeau graduated from the Nantes University of Sciences and Technology and is currently working as an Eclipse Modeling consultant at Obeo in France.
Sirius Web 101 : Create a Modeler With No Code
Sirius Web 101 provides a no-code modeler that allows defining domains and views without writing code. The document demonstrates creating a company domain with teams, employees, sites using no code definitions. It then shows two diagrams - one for teams and one for sites - generated from the same data. The summary concludes that the no-code results can address simple cases and that new no-code features are in development.
Sirius Project, Now and In the Future
What's new in Sirius Web ? Discover the current version and what will come in the next releases.
Mélanie Bats, Obeo
Mélanie Bats works as CTO at Obeo. In my daily work, I am mainly focused on managing the R&D team, creating products based on our own open source technologies. I am used to work in the development of modeling tools with Sirius like UML Designer. I am committer for the EEF and the Sirius projects. I am also involved in the Eclipse community as being the Eclipse Planning Council chair. I am also a free software activist who has organized and participated in free software events in the Toulouse area.
Visualizing, Analyzing and Optimizing Automotive Architecture Models using Si...
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Advancing digitalization affects almost all aspects of our modern world. A prominent example is that of modern automobiles. From primarily mechanical machines, cars have evolved into driving complex cyber-physical systems over the last decades. Optimizing such systems consisting of vast networks of sensors, actuators, control units, and communication systems is a huge challenge for today's automotive industry and requires standardized and integrated toolchains fit for purpose. Together with a prestigious automotive industry partner, the Technical University of Ilmenau developed an application together with an integrated toolchain for evaluating and optimizing automotive architecture models. This application is based on the Obeo Sirius project as well as the Eclipse Modeling Framework. Based on Sirius, we created a model editor which is used for visualizing, editing, but also analyzing and optimizing automotive models across the boundaries of different architectural layers.
Maximilian Hammer, Technical University of Ilmenau
Maximilian Hammer is a Research Assistant at Technical University of Ilmenau
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UMN硕士毕业证成绩单【微信95270640】购买（明尼苏达大学毕业证成绩单硕士学历）Q微信95270640代办UMN学历认证留信网伪造明尼苏达大学学位证书精仿明尼苏达大学本科/硕士文凭证书补办明尼苏达大学 diplomaoffer,Transcript购买明尼苏达大学毕业证成绩单购买UMN假毕业证学位证书购买伪造明尼苏达大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
#毕业证成绩单 #毕业証 #成绩单 #學生卡 #OFFER录取通知书 #雅思#托福等……
国外大学明尼苏达大学明尼苏达大学毕业证offer制作方法（一对一专业服务）
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
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此贴长年有效【贴心专线/微-信: 95270640】敬请保留此联系方式以备用！如有不在线请给我们留言！我们将在第一时间给您回复!上散发着一抹抹的光晕而这每处自然形成的细节融合在一起浑然天成的美实在令人心生愉悦小道的周边无秩序的生长着几株艳丽的野花红的粉的紫的虽混乱无章却给这幅美景更增添一份性感夹杂着一份纯洁的妖娆毫无违和感实在给人带来一份悠然幸福的心情如果说现在的审美已经断然拒绝了无声的话那么在树林间飞掠而过的小鸟叽叽咋咋的叫声是否就是这最后的点睛之笔悠然走在林间的小路上宁静与清香一丝丝的盛夏气息吸入身体昔日生活里的繁忙多
Enums On Steroids - let's look at sealed classes !
These are slides for my session"Enums On Steroids - let's look at sealed classes !" - delivered among others, on Devoxx UK 2024 conference
GreenCode-A-VSCode-Plugin--Dario-Jurisic
Presentation about a VSCode plugin from Dario Jurisic at the GSD Community Stage meetup
一比一原版(USF毕业证)旧金山大学毕业证如何办理
USF硕士毕业证成绩单【微信95270640】一比一伪造旧金山大学文凭@假冒USF毕业证成绩单+Q微信95270640办理USF学位证书@仿造USF毕业文凭证书@购买旧金山大学毕业证成绩单USF真实使馆认证/真实留信认证回国人员证明
#一整套旧金山大学文凭证件办理#—包含旧金山大学旧金山大学本科毕业证成绩单学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：旧金山大学旧金山大学本科毕业证成绩单毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理旧金山大学旧金山大学本科毕业证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信95270640奈一次次令他失望山娃今年岁上五年级识得很多字从走出小屋开始山娃就知道父亲的家和工地共有一个很动听的名字——天河工地的底层空空荡荡很宽阔很凉爽在地上铺上报纸和水泥袋父亲和工人们中午全睡在地上地面坑坑洼洼山娃曾多次绊倒过也曾有长铁钉穿透凉鞋刺在脚板上但山娃不怕工地上也常有五六个从乡下来的小学生他们的父母亲也是高楼上的建筑工人小伙伴来自不同省份都操着带有浓重口音的普通话可不知为啥山娃不仅很快与他们熟识了
14 th Edition of International conference on computer vision
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
Award Nomination: https://x-i.me/ishnom
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How to write a program in any programming language
How to write a program in any programming language
Safelyio Toolbox Talk Softwate & App (How To Digitize Safety Meetings)
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Measures in SQL (SIGMOD 2024, Santiago, Chile)
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
8 Best Automated Android App Testing Tool and Framework in 2024.pdf
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
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MedPath Designer: A Process-based Modeling Language for Designing Care Pathways
- 1. MedPath Designing and running Care Pathways
- 2. Intmed A Brazilian health tech that builds innovative software to help saving lives 2
- 3. 3 Bosco Ferreira Prof. Researcher (UFC) Flávio Sousa Prof. Researcher (UFC) University of Birmingham + 30 Devs + 8 P.O. + 6 UX/UI + 8 M.Sc./Ph.D. + 5 Modelers + 5 M.D. + 5 other areas Our Team
- 4. Intmed - What do we do? 4 Products Custom Software Hospitals Surgeries Clinics Health Insurances
- 5. 5
- 7. 7 Experts Guidelines Practitian Patient How can we support doctors to have the best knowledge during their practices?
- 9. ‘’ MedPath is a Domain Specific Language to Model Care pathways 9
- 10. Care Pathways 10
- 11. Care Pathways 11
- 12. ‘’ 12 Why MBSE? Why Sirius? - Rapid and increasing change - Fast MVP - Concentrate on what matters
- 14. 14 Metamodel
- 18. Interpretation Python Stack - Django Framework - Angular Json and web-based - Model instances are loaded on-the-fly and incrementally 18
- 21. Results Disponibilidade para reuniões ● Profissionais da Saúde ● Gestão ● TI +200 206 + 10 M Protocolos Emergency Clinics Primary Care *Covid-19 Hospitals Clinics Executions *Added in less than 24h in production
- 22. How Sirius is being used Expert doctors acquainted with the process - They still leave details as comments - Tend to be very busy Process Engineers (Production Engineers) - Talk to the doctors, model and then validate 22
- 23. Feedback, review and prospects Sirius proved itself a nice fit for rapid construction and evolution of our DSL Having the care pathways as a "document" allowed us to version, verify and correctly share it throughout the process (model as first-class citizen) 23
- 24. Feedback, review and prospects We started the project in 2017, we believe now we can explore the Web capabilities of it Interpretation, instead of compilation, allowed us to easily integrate to existing legacy systems Data storage and load was challenging 24
- 25. Publications 25
- 26. Publications 26 R. P. de Figueiredo, J. B. F. Filho, F. R. C. Sousa, P. Weber and I. Litchfield, "Automated Verification of Care Pathways Using Constraint Programming," in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 9, pp. 2718-2725, Sept. 2020, doi: 10.1109/JBHI.2020.2977032. Weber, P, Filho, JBF, Bordbar, B, Lee, M, Litchfield, I, Backman, R. Automated conflict detection between medical care pathways. Journal of Software Evolution and Process. 2018; 30:e1898. https://doi.org/10.1002/smr.1898