Tootfinder

UNHCR: Fast zehn Millionen Ukrainer geflüchtet
Die russische Invasion in die Ukraine hat laut dem UN-Flüchtlingshilfswerk (UNHCR) bislang fast zehn Millionen Menschen zur Flucht aus ihren Häusern gezwungen. Rund 3,8 Millionen der Betroffenen seien Binnenvertriebene, 5,6 Millionen ins Ausland geflohen, teilte die UNHCR-Repräsentantin für das Land, Karolina Lindholm Billing, der Nachrichtenagentur AP mit. "Aktuell bleiben die m…
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Ukraine-Liveblog: ++ Selenskyj: USA nehmen Militärhilfe wieder auf ++
Die USA haben nach Angaben von Präsident Selenskyj ihre Hilfslieferungen für die Ukraine wieder aufgenommen. Der US-Sondergesandte Kellogg beginnt am Montag einen einwöchigen Besuch in der Ukraine.

NFL's top 10 offenses in 2025? Bills, Bucs, Ravens headline my projection; Broncos coming in HOT https://www.nfl.com/news/nfl-s-top-10-offenses-in-2025-bills-bucs-ravens-headline-my-projection-broncos-coming-in-ho…

Well that's definitely an interesting choice from Microsoft
https://support.microsoft.com/en-us/account-billing/changes-to-microsoft-authenticator-autofill-09fd75df-dc04-4477-9619-811510805ab6

Automated Energy Billing with Blockchain and the Prophet Forecasting Model: A Holistic Approach
Ajesh Thangaraj Nadar, Soham Chandane, Gabriel Nixon Raj, Nihar Mahesh Pasi, Yash Arvind Patil
https://arxiv.org/abs/2506.16649

Automated Energy Billing with Blockchain and the Prophet Forecasting Model: A Holistic Approach
This paper presents a comprehensive approach to automated energy billing that leverages IoT-based smart meters, blockchain technology, and the Prophet time series forecasting model. The proposed system facilitates real-time power consumption monitoring via Wi-Fi-enabled ESP32 modules and a mobile application interface. It integrates Firebase and blockchain for secure, transparent billing processes and employs smart contracts for automated payments. The Prophet model is used for energy demand fo…

Medical Data Pecking: A Context-Aware Approach for Automated Quality Evaluation of Structured Medical Data
Irena Girshovitz, Atai Ambus, Moni Shahar, Ran Gilad-Bachrach
https://arxiv.org/abs/2507.02628

Medical Data Pecking: A Context-Aware Approach for Automated Quality Evaluation of Structured Medical Data
Background: The use of Electronic Health Records (EHRs) for epidemiological studies and artificial intelligence (AI) training is increasing rapidly. The reliability of the results depends on the accuracy and completeness of EHR data. However, EHR data often contain significant quality issues, including misrepresentations of subpopulations, biases, and systematic errors, as they are primarily collected for clinical and billing purposes. Existing quality assessment methods remain insufficient, la…

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding
Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan R\"uping
https://arxiv.org/abs/2507.01802

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding
Automatic medical coding has the potential to ease documentation and billing processes. For this task, transparency plays an important role for medical coders and regulatory bodies, which can be achieved using explainability methods. However, the evaluation of these approaches has been mostly limited to short text and binary settings due to a scarcity of annotated data. Recent efforts by Cheng et al. (2023) have introduced the MDACE dataset, which provides a valuable resource containing code ev…

Finally cancelled my Ideogram subscription today, I've had it for the past 12 months and loved it.
Now I'm using ChatGPT 4o almost exclusively for my AI image generation needs.
I updated my paid subscriptions list:
https://wiki.wesfryer.com/subscriptions

wesfryer - Subscriptions
Thoughts on Subscriptions: Have you noticed lots of companies and people want you to SUBSCRIBE to their service or commit to a MONTHLY payment / fee? Services like TRIM can help us identify, remember and manage our subscriptions. (s/o to Jason Neiffer in EdTechSR Ep 235) It can be helpful to SHARE