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#algorithm

13 posts13 participants0 posts today
Public
Healthcare Tech Robot

DATE: June 04, 2025 at 06:30AM
SOURCE: BioWorld MedTech

Direct article link at end of text block below.

Alexandra Hospital team patents new #AI robotic #kneesurgery

t.co/Ch2rrfvito

#medtech #AI #algorithm #robotic #kneereplacement #surgery #kneesurgery #orthopedics #patent #implant #Singapore

Here are any URLs found in the article text:

t.co/Ch2rrfvito

#medtech

Articles can be found by scrolling down the page at bioworld.com/topics/85-bioworl .

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Private, vetted email list for mental health professionals: clinicians-exchange.org
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NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com
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t.coAlexandra Hospital team patents new AI robotic knee surgeryBy Marian (YoonJee) Chu
#healthcare#healthtech#healthcaretech
Public
Healthcare Tech Robot

DATE: June 03, 2025 at 04:38PM
SOURCE: BioWorld MedTech

Direct article link at end of text block below.

Alexandra Hospital team patents new #AI robotic #kneesurgery

t.co/Ch2rrfvQiW

#medtech #AI #algorithm #robotic #kneereplacement #surgery #kneesurgery #orthopedics #patent #implant #Singapore

Here are any URLs found in the article text:

t.co/Ch2rrfvQiW

#medtech

Articles can be found by scrolling down the page at bioworld.com/topics/85-bioworl .

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Private, vetted email list for mental health professionals: clinicians-exchange.org
.
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
.
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com
.
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE:
subscribe-article-digests.clin
.
READ ONLINE: read-the-rss-mega-archive.clin
.
It's primitive... but it works... mostly...
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t.coAlexandra Hospital team patents new AI robotic knee surgeryBy Marian (YoonJee) Chu
#healthcare#healthtech#healthcaretech
Public
Victor

Research on prediction algorithm of effluent quality and development of integrated control system for waste-water treatment. #algorithm #predictive #wastewater #wastewatertreatment #ICS nature.com/articles/s41598-025

NatureResearch on prediction algorithm of effluent quality and development of integrated control system for waste-water treatment - Scientific ReportsResearch is implemented to protect the environment from an epidemic of chemical materials that could render living conditions hazardous. In order to efficiently use productivity while maintaining a constant and reliable level of waste quality, severe regulations regarding Waste-Water Treatment and Control Systems (WWTCS) must be adopted to mitigate the serious nature of water pollution and impure performance. Suboptimal treatment efficiency and use of resources are the results of the methods used for WWTCS, which are not highly susceptible to changing impact features and complex biological systems. The present study presented a prediction algorithm and an Integrated Control System (ICS) to address the problems of conventional methods. This research proposes a Deep Learning (DL) for the quality of wastewater prediction that employs a Quantile Regression-Random Forest (QR-RF) meta-learner when combined with Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU). The proposed method has been implemented into practice and tested at Asia’s Jiangsu Province Metropolitan Waste-Water Treatment Plant (WWTP). With a Root Mean Absolute Error (RMSE) of 4.76 mg/L for 24-h horizons and a Mean Absolute Error (MAE) of 0.85 mg/L for 1-h predictions, the proposed model outperforms conventional methods in terms of prediction accuracy. The ICS is superior to standard WWTCS by a vital error boundary, minimizing energy consumption by 17% and boosting chemical-based consumption optimization by 24%. With an average removal rate of 94.23% for Chemical Oxygen Demand (COD) compared to 88.76% for standard systems, the findings from experiments exhibited significant performance improvements.
Public
Victor

Research on prediction algorithm of effluent quality and development of integrated control system for waste-water treatment. nature.com/articles/s41598-025

NatureResearch on prediction algorithm of effluent quality and development of integrated control system for waste-water treatment - Scientific ReportsResearch is implemented to protect the environment from an epidemic of chemical materials that could render living conditions hazardous. In order to efficiently use productivity while maintaining a constant and reliable level of waste quality, severe regulations regarding Waste-Water Treatment and Control Systems (WWTCS) must be adopted to mitigate the serious nature of water pollution and impure performance. Suboptimal treatment efficiency and use of resources are the results of the methods used for WWTCS, which are not highly susceptible to changing impact features and complex biological systems. The present study presented a prediction algorithm and an Integrated Control System (ICS) to address the problems of conventional methods. This research proposes a Deep Learning (DL) for the quality of wastewater prediction that employs a Quantile Regression-Random Forest (QR-RF) meta-learner when combined with Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU). The proposed method has been implemented into practice and tested at Asia’s Jiangsu Province Metropolitan Waste-Water Treatment Plant (WWTP). With a Root Mean Absolute Error (RMSE) of 4.76 mg/L for 24-h horizons and a Mean Absolute Error (MAE) of 0.85 mg/L for 1-h predictions, the proposed model outperforms conventional methods in terms of prediction accuracy. The ICS is superior to standard WWTCS by a vital error boundary, minimizing energy consumption by 17% and boosting chemical-based consumption optimization by 24%. With an average removal rate of 94.23% for Chemical Oxygen Demand (COD) compared to 88.76% for standard systems, the findings from experiments exhibited significant performance improvements.
Public *
⚯ Michel de Cryptadamus ⚯

Ω🪬Ω
The new version of #Fedialgo is much, much faster at loading and reordering the timeline. Also has fancy gradients to show you which hashtags in your feed are the ones trending the most and which ones you post about the most. Also a bunch of other tweaks and improvements.

* Try the demo: michelcrypt4d4mus.github.io/fe
* Video of it in action: universeodon.com/@cryptadamist
* Release notes: github.com/michelcrypt4d4mus/f

Screenshot of Fedialgo demo
#activitypub#algorithm#algorithmicFeed
Public
James House-Lantto (He/Him)

lifehacker.com/tech/i-tamed-my

How, and why you should, train your YouTube algorithm.
The article covers the following:

- The basics: Likes, Dislikes, Subscriptions, and the Bell.

- Intermediate algorithm training: Refine your history and reject videos you don't want to see.

- Advanced algorithm mastery: Use playlists and multiple accounts to get recommendations silos.

Lifehacker · I Trained My YouTube Algorithm, and You Should TooYouTube is filled with treasures, but finding them can be tough. That's where the YouTube recommendation algorithm is supposed to help out, but what it serves up won't always match up with what you want to see. Here are different tricks I've tried that have actually made my YouTube recommendations better.
#YouTube#algorithm#SocialMedia
Public
Jørgen fra Europa

"The internet used to be how we kept up with friends, explored new ideas, and checked in on the world. Now those same platforms feel more like noisy shopping malls than communities.

What was once connection has become manipulation. What felt like freedom now feels like a funnel."

effthealgorithm.substack.com/p

Eff the Algorithm · Hello, this is not the web we were promised.By Kate Argent
#privacy#TechGiants#algorithm
Public
Christoph Merk

#ElonMusk is the #mostdangerouseperson in the world. His money already elected #trump, he is in charge of the #algorithm of #x (#twitter). He can bombard you with messages you never ask for just to manipulate you. His donations can buy elections. His far-right political views are dangerouse…. adolf #hitler (#nsdap) and the #nazi tried to rule the world before with #lies, #dominance and #manipulation. Who are the underdogs today? No need to tell you what all happened back then. #neverforget

Public
bounding_star

It's #followfriday ! Here's 5 cool #Adelaide based accounts to follow:
@george - documenting their trip across Europe as a treat to people giving fedi a go
@catnip -hot takes on the intersection of #tech and social justice
@hellohello -local #artist and wholesome posts
@Shannonfrog -super cool digital #art
@goblin - documenting their cool projects #workoutloudstyle

Without an #algorithm, mastodon needs a bit of word of mouth for people to find things, so pls share cool accounts you've found!

Public
Baillehache Pascal

Does anyone have an idea why the authors choose the cluster with largest diameter in the DIANA algorithm ?
I'm convinced (implementing and testing it actually confirm it too) that choosing any cluster of size >1 leads to the same result (cause any split occurs inside one cluster and is not influenced by the other clusters) and is less computationally expensive (cause you don't need to search which is the largest cluster).
Cf p.256 of "Finding Groups in Data: An Introduction to Cluster Analysis" by Leonard Kaufman, Peter J. Rousseeuw
books.google.co.jp/books?id=Ye
#programming #algorithm #clustering

Google BooksFinding Groups in DataThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well."—Mathematical Reviews "Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature."—Journal of Classification "This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study."—Technometrics An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering.
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