biomedical urjc

115 posts

biomedical urjc

biomedical urjc

@BiomedicalUrjc

Biomedical engineering - Deep Learning @ETSIT_URJC Óscar Barquero-Pérez @obarquero, @miguelkr92, @my_phd_life, @rebe_goya

Fuenlabrada, Spain เข้าร่วม Eylül 2020
125 กำลังติดตาม83 ผู้ติดตาม
biomedical urjc รีทวีตแล้ว
Andreu M. Climent
Andreu M. Climent@amcliment·
🧵Muy decepcionado con @ANECAinfo y @UniversidadGob su desincentivo hacia la #multidisciplinariedad en la ciencia. Queremos avanzar, pero ¿cómo hacerlo si nos constriñen a áreas del conocimiento? El futuro está en las fronteras entre conocimientos. Dentro hilo enfadado:
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Anna Clemens, PhD
Anna Clemens, PhD@scientistswrite·
As an academic writing coach, here are the 5 most common mistakes I see researchers make when they write their Discussion sections. A thread. 🧵 #PIchat #newPI #ECRchat — Mistake #1: Providing paragraphs of background information 📝 The Introduction section is meant for context. In the Discussion section, any mentioned background info needs to be *discussed* together with your own findings. — Mistake #2: Expecting the reader to have read all previous sections 💡 Tell the whole story by restating the problem you are solving with your study so that readers understand the motivation for your research. — Mistake #3: Describing the purpose and result of each experiment 🔬 This should be provided in the Results section. The Discussion is for actually *discussing* your findings, i.e. how your study has changed the state of the art and what the potential implications are. — Mistake #4: Too general implication statements 🌍 Avoid too broad statements that could mean everything and nothing. Be specific when you describe the potential implication of your findings even when some of them are speculative. — Mistake #5: Skipping the discussion altogether 🚫 Discussion sections are helpful for fellow researchers, journal editors and also journalists! If you have a combined Results & Discussion section, don't forget to include the discussion part! — TL;DR: The 5 most common mistakes in the Discussion section: #1: Providing too much background info #2: Not restating the motivation of your study #3: Describing the purpose of each experiment #4: Too general implication statements #5: Skipping the discussion altogether
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biomedical urjc
biomedical urjc@BiomedicalUrjc·
La alumna Sara Valiente, premiada por un trabajo que ayuda al tratamiento de las arritmias - Universidad Rey Juan Carlos urjc.es/todas-las-noti…
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Corify Care
Corify Care@corifyAF·
Last week, Corify Care technology was used in #HospitalGregorioMarañon and retransmitted for the XIX Ablation and navigation systems course
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Corify Care
Corify Care@corifyAF·
Here, Dr. @atienza_felipe describes how the ACORYS MAPPING SYSTEM was used during a case of paroxysmal AF ablation and mitral stenosis valvuloplasty.
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Brown Neuroscience
Brown Neuroscience@BrownUNeuro·
Most grad school applications are due in less than a week! 📝If you're still adding those finishing touches, here are some tips to help you with the application process (1/8):
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Rayleigh Lord | Javier González Monge
Este archivo de configuración fija muchos parámetros de la figura una vez invocado. Aquí os dejo el estilo que he usado yo para publicaciones científicas y que creo que funciona muy bien, aunque se puede retocar cualquier parámetro que consideréis. github.com/RayleighLord/R…
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CASEIB 2022
CASEIB 2022@CASEIB2022·
Sesión de premios FENIN-SEIB para estudiantes de grado en ingeniería biomédica. El nivel de las presentaciones ha sido altísimo. Muchas gracias a todos los candidatos. #CASEIB2022 #XL #XLPerformance
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biomedical urjc รีทวีตแล้ว
Avi Kumar Talaviya
Avi Kumar Talaviya@avikumart_·
Kaggle is a fundamentally powerful platform to learn data science🤖🚀 Here are the TOP 7 kaggle resources to learn data science and solve complex data problems (Don't miss it!) 🧵👇
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Mark Tenenholtz
Mark Tenenholtz@marktenenholtz·
You should always work on improving your model evaluation skills. Model evaluation is the worst taught skill in machine learning, and I believe the best way of improving is through practice. But, this paper from @rasbt is by far my favorite single written resource:
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biomedical urjc@BiomedicalUrjc·
@saravalij representará a la @urjc @ETSIT_URJC en la competición de estudiantes @CASEIB2022: Localización de Drivers en Fibrilación Auricular con Redes Convolucionales LSTM. Buen trabajo. En 2020 y 2022 alumnos de nuestro grupo han representado a la @urjc. Seguimos!
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