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Marcelo Fontenelle scored the highest with 67 points (43.51%), followed by Glaúcio Amaral with 63 points (40.91%). Paulo de Tarso scored 62 points (40.26%) to take third. The top 3 scores were 67, 63 and 62 points respectively.
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Classificacao
Marcelo Fontenelle from the Informatics department scored the highest with 64 points and 41.56% in the first phase of the 2010 World Cup office pool. Paulo de Tarso from Anesthesiology came in second with 62 points and 40.26%, while Glaúcio Amaral from Radiology came in third with 60 points and 38.96%. The document provides the scores and percentages for the top 37 participants in the office pool for the first phase of the 2010 World Cup.
Classificacao
Marcelo Fontenelle from the Informatics department scored the highest with 82 points and 36.61% in the first phase of the 2010 World Cup bracket. Paulo de Tarso from Anesthesiology scored second highest with 81 points and 36.16%. The participant rankings and scores are listed from 1st to 37th place.
Classificacao
Paulo de Tarso, an anesthesiologist, scored the highest with 60 points and 38.96% in the first phase of the 2010 World Cup bracket. Marcelo Fontenelle from IT was second with 57 points and 37.01%. Third place went to Carliana Paiva, a nurse, with 51 points and 33.12%.
Classificacao
1. Marcelo Fontenelle from the Informatics department came in first place in the 2010 World Cup bracket contest with 79 points and 35.27% accuracy.
2. Carliana Paiva from Nursing came in second place with 73 points and 32.59% accuracy.
3. Gustavo Rodrigues from Clinical and José Carlos from Administrative Assistance tied for third place with 71 points and 31.70% accuracy.
Classificacao
The document summarizes the results of a World Cup 2010 bracket contest among employees of a company. It lists the 37 participants, their assigned number, department, score in the contest and percentage of correct predictions for the first round of the World Cup. The participant with the highest score and percentage of correct predictions was Marcelo Fontenelle from the Information Technology department, who had 61 points and 39.61% correct.
Classificacao
Carliana Paiva from nursing department scored highest in the Copacabana 2010 soccer pool with 99 points and 33.67% accuracy. Marcelo Fontenelle from IT department scored second highest with 98 points and 33.33% accuracy. Fabio Costa from IT department scored third highest with 89 points and 30.27% accuracy.
Classificacao
Carliana Paiva from nursing correctly predicted the most outcomes in the 2010 World Cup bracket in the first phase of the competition, scoring 106 points or 34.42% of the total possible. Fabio Costa from IT and Marcelo Fontenelle from IT came in second and third place respectively, both scoring over 102 points. The contest had 37 participants from various hospital departments who made predictions on the World Cup results.
Classificacao
Paulo de Tarso, an anesthesiologist, scored the highest in the first phase of the 2010 World Cup bracket with 58 points and 37.66% accuracy. Marcelo Fontenelle in information technology placed second with 54 points and 35.06% accuracy. Gustavo Rodrigues, a clinician, came in third with 48 points and 31.17% accuracy.
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Classificacao
Marcelo Fontenelle from the Informatics department scored the highest with 64 points and 41.56% in the first phase of the 2010 World Cup office pool. Paulo de Tarso from Anesthesiology came in second with 62 points and 40.26%, while Glaúcio Amaral from Radiology came in third with 60 points and 38.96%. The document provides the scores and percentages for the top 37 participants in the office pool for the first phase of the 2010 World Cup.
Classificacao
Marcelo Fontenelle from the Informatics department scored the highest with 82 points and 36.61% in the first phase of the 2010 World Cup bracket. Paulo de Tarso from Anesthesiology scored second highest with 81 points and 36.16%. The participant rankings and scores are listed from 1st to 37th place.
Classificacao
Paulo de Tarso, an anesthesiologist, scored the highest with 60 points and 38.96% in the first phase of the 2010 World Cup bracket. Marcelo Fontenelle from IT was second with 57 points and 37.01%. Third place went to Carliana Paiva, a nurse, with 51 points and 33.12%.
Classificacao
1. Marcelo Fontenelle from the Informatics department came in first place in the 2010 World Cup bracket contest with 79 points and 35.27% accuracy.
2. Carliana Paiva from Nursing came in second place with 73 points and 32.59% accuracy.
3. Gustavo Rodrigues from Clinical and José Carlos from Administrative Assistance tied for third place with 71 points and 31.70% accuracy.
Classificacao
The document summarizes the results of a World Cup 2010 bracket contest among employees of a company. It lists the 37 participants, their assigned number, department, score in the contest and percentage of correct predictions for the first round of the World Cup. The participant with the highest score and percentage of correct predictions was Marcelo Fontenelle from the Information Technology department, who had 61 points and 39.61% correct.
Classificacao
Carliana Paiva from nursing department scored highest in the Copacabana 2010 soccer pool with 99 points and 33.67% accuracy. Marcelo Fontenelle from IT department scored second highest with 98 points and 33.33% accuracy. Fabio Costa from IT department scored third highest with 89 points and 30.27% accuracy.
Classificacao
Carliana Paiva from nursing correctly predicted the most outcomes in the 2010 World Cup bracket in the first phase of the competition, scoring 106 points or 34.42% of the total possible. Fabio Costa from IT and Marcelo Fontenelle from IT came in second and third place respectively, both scoring over 102 points. The contest had 37 participants from various hospital departments who made predictions on the World Cup results.
Classificacao
Paulo de Tarso, an anesthesiologist, scored the highest in the first phase of the 2010 World Cup bracket with 58 points and 37.66% accuracy. Marcelo Fontenelle in information technology placed second with 54 points and 35.06% accuracy. Gustavo Rodrigues, a clinician, came in third with 48 points and 31.17% accuracy.
Classificacao
The document summarizes the results of a World Cup 2010 bracket contest among hospital employees. It lists the 37 participants, their department or job title, their bracket number, total points scored, and percentage of possible points earned. The top two scoring participants, Carliana Paiva and Fábio Costa, both from the Informatics department, each earned 113 points, equivalent to 36.69% of the total possible points.
Classificacao
Paulo de Tarso, an anesthesiologist with jersey #18, scored the most points and came in first place in the Coppa del Mondo 2010 bracket pool. Marcelo Fontenelle, an IT professional with jersey #14, came in second place. Gustavo Rodrigues, a clinician with jersey #9, scored the third most points and came in third place.
Classificacao
The document appears to be the results of a World Cup 2010 bracket contest, listing the participant's name, associated number, position, and score. The top scorer was Paulo de Tarso with 49 points in 1st place, followed by Marcelo Fontenelle in 2nd with 42 points and Gustavo Rodrigues in 3rd with 40 points. In last place was Edvaldo Junior with 9 points in 37th position.
Classificacao
This document contains the results of a Coppa 2010 first phase football pool among 37 participants from a hospital. It lists each participant's name, department and pool number. It then shows their score, with the top 5 participants scoring 7 points and the next 5 scoring 3 points. The remaining 27 participants scored 0 points.
Classificacao
This document summarizes the results of a 2018 World Cup bracket contest among employees of a company. Paulo de Tarso, an anesthesiologist, scored the most points with 47 and came in first place. Marcelo Fontenelle from IT came in second place with 38 points. Gustavo Rodrigues, a clinician, scored 35 points and came in third.
Classificacao
Paulo de Tarso, an anesthesiologist with pick #18, scored the most points with 55. Marcelo Fontenelle from IT with pick #14 was second with 53 points. Gustavo Rodrigues, a clinician with pick #9, scored 42 points and was in third place.
Classificacao
This document appears to be the results of a World Cup 2010 bracket contest among employees of a company, listing each participant's name, department, and score. The top scorer was Paulo de Tarso from Anesthesiology with 58 points, followed by Marcelo Fontenelle from IT with 54 points, and Gustavo Rodrigues from Clinical with 45 points. The contest included 37 participants from various medical and administrative departments.
Classificacao
Paulo de Tarso, an anesthesiologist, came in first place in the Copacabana 2010 soccer pool with 29 points. Gustavo Rodrigues, a clinician, came in second place with 23 points. Three therapy assistants—Guilherme Rojas, Henrique Takahashi, and Thiago Felipe—tied for third place with 22 points each. The document lists the scores and rankings of 37 participants in the soccer pool.
Classificacao
Paulo de Tarso, an anesthesiologist, scored the highest with 33 points. Gustavo Rodrigues, a clinician, came in second with 32 points. Marcelo Fontenelle from Information Technology placed third with 31 points.
Classificacao
Paulo de Tarso, an anesthesiologist, scored the highest with 40 points in the results of a World Cup 2010 bracket competition. Marcelo Fontenelle from IT was second with 38 points, and Gustavo Rodrigues, a clinician, came in third with 35 points. The competition had 37 participants from various medical specialties and departments who made predictions on the results of the 2010 World Cup matches in the first phase.
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The document summarizes the results of a World Cup 2010 bracket contest among hospital employees. It lists the 37 participants, their department or job title, their bracket number, total points scored, and percentage of possible points earned. The top two scoring participants, Carliana Paiva and Fábio Costa, both from the Informatics department, each earned 113 points, equivalent to 36.69% of the total possible points.
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The document appears to be the results of a World Cup 2010 bracket contest, listing the participant's name, associated number, position, and score. The top scorer was Paulo de Tarso with 49 points in 1st place, followed by Marcelo Fontenelle in 2nd with 42 points and Gustavo Rodrigues in 3rd with 40 points. In last place was Edvaldo Junior with 9 points in 37th position.
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This document contains the results of a Coppa 2010 first phase football pool among 37 participants from a hospital. It lists each participant's name, department and pool number. It then shows their score, with the top 5 participants scoring 7 points and the next 5 scoring 3 points. The remaining 27 participants scored 0 points.
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This document summarizes the results of a 2018 World Cup bracket contest among employees of a company. Paulo de Tarso, an anesthesiologist, scored the most points with 47 and came in first place. Marcelo Fontenelle from IT came in second place with 38 points. Gustavo Rodrigues, a clinician, scored 35 points and came in third.
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Paulo de Tarso, an anesthesiologist with pick #18, scored the most points with 55. Marcelo Fontenelle from IT with pick #14 was second with 53 points. Gustavo Rodrigues, a clinician with pick #9, scored 42 points and was in third place.
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This document appears to be the results of a World Cup 2010 bracket contest among employees of a company, listing each participant's name, department, and score. The top scorer was Paulo de Tarso from Anesthesiology with 58 points, followed by Marcelo Fontenelle from IT with 54 points, and Gustavo Rodrigues from Clinical with 45 points. The contest included 37 participants from various medical and administrative departments.
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Paulo de Tarso, an anesthesiologist, scored the highest with 33 points. Gustavo Rodrigues, a clinician, came in second with 32 points. Marcelo Fontenelle from Information Technology placed third with 31 points.
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Paulo de Tarso, an anesthesiologist, scored the highest with 40 points in the results of a World Cup 2010 bracket competition. Marcelo Fontenelle from IT was second with 38 points, and Gustavo Rodrigues, a clinician, came in third with 35 points. The competition had 37 participants from various medical specialties and departments who made predictions on the results of the 2010 World Cup matches in the first phase.
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O Cabeça de Touro Futebol Clube parabeniza o Presidente Pereira Neto e o Diretor de Esportes Rivaldo por terem sido promovidos aos cargos de Coronel PM e Major PM, respectivamente, em 11 de junho de 2010.
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2) A sobrexploração de florestas, oceanos, rios, lagos e solos também contribui para a perda da biodiversidade, assim como a introdução de espécies invasivas e a poluição.
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1- Indo diretamente no dpto de extensão que fica localizado na Unid 10 ao lado do SRA. A forma de pagamento pode ser cartão de crédito ou débito;
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Pushing the limits of ePRTC: 100ns holdover for 100 days
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.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
20 Comprehensive Checklist of Designing and Developing a Website
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Building RAG with self-deployed Milvus vector database and Snowpark Container...
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Classificacao
- 1. RESULTADO: BOLÃO DA COPA 2010 - 1ª fase # PARTICIPANTE PONTUAÇÃO % 1 MARCELO FONTENELLE (INFORMÁTICA) #14 67 43,51 2 GLAÚCIO AMARAL (RADIOLOGIA) #12 63 40,91 3 PAULO DE TARSO (ANESTESISTA) #18 62 40,26 4 THIAGO FELIPE (TF) #7 61 39,61 5 GUSTAVO RODRIGUES (CLÍNICO) #9 58 37,66 6 JOSÉ CARLOS (ASSISTENTE ADM) #29 58 37,66 7 CARLIANA PAIVA (ENF) #30 56 36,36 8 MARCELO PIRES (FINANCEIRO) #27 56 36,36 9 RICARDO PINTO (RADIOLOGIA) #16 53 34,42 10 GUILHERME ROJAS (TF) #2 51 33,12 11 JOSÉ MARIA (ASSISTENTE ADM) #4 51 33,12 12 ROGÉRIO DELLA SANTA (TF) #13 51 33,12 13 FÁBIO AUGUSTO (INFORMÁTICA) #1 50 32,47 14 FÁBIO COSTA (INFORMÁTICA) #8 50 32,47 15 BRUNNO MOREIRA (ORTOPEDISTA) #28 49 31,82 16 CÉSAR RICARDO (ORTOPEDISTA) #36 49 31,82 17 CLAUDIOMAR NASCIMENTO (ASSISTENTE ADM) #19 49 31,82 18 DANIEL GUSTAVO (ENF) #37 49 31,82 19 HENRIQUE TAKAHASI (TF) #20 46 29,87 20 ALEXANDRE CAUHÍ (CIRURGIA PLÁSTICA) #10 45 29,22 21 GIAMPAULO (ORTOPEDISTA) #35 44 28,57 22 GARDA (RH) #32 43 27,92 23 ALEXANDRE BRAULE (INFORMÁTICA) #3 41 26,62 24 PAULO FERNANDES (ASSISTENTE ADM) #11 41 26,62 25 RODOLPHO LUÍS (TF) #24 41 26,62 26 CLÉCIO (MANUTENÇÃO) #5 40 25,97 27 KETILENE COSTA (RADIOLOGIA) #21 40 25,97 28 RICARDO TOLEDO (UROLOGISTA) #33 40 25,97 29 ANTONIO JOSÉ (PATOLOGIA) #26 39 25,32 30 LEANDRO MAZALI (PSICOLOGO) #15 39 25,32 31 EDVALDO JUNIOR (INFORMÁTICA) #17 38 24,68 32 PASCELES (SEG. DO TRABALHO) #6 38 24,68 33 JULIO CÉSAR LIMA (RADIOLOGIA) #34 36 23,38 34 ANDRÉ UHDRE (TF) #31 35 22,73 35 RAFAEL PEREIRA (CLÍNICO) #23 35 22,73 36 TAYRA GOMES (TF) #25 33 21,43 37 RODOLFO CAVALCANTE (CLÍNICO) #22 23 14,94