This entry presents Ammonia (H3N; CAS 7664-41-7; PubChem CID 222) as a 3D-printable ball-and-stick model in which every atom carries its engraved element symbol (H, N), so the model can be read without a colour key. Atomic coordinates come from the PubChem-computed 3D conformer (not an experimental crystal structure);...
Marcin Krynski· Zenodo (CERN European Organi...· 0 citations
Reliable UAV-based inspection of wind turbine blades requires diagnostic models that maintain acceptable decision quality under image degradation and limited edge-computing resources. This study proposes a resource-adaptive neuro-fuzzy edge system for wind turbine blade defect diagnosis. SqueezeNet transforms input ima...
Леся Дубчак, Богдан Русин, Volodymyr Samotyy et al.· Energies· 0 citations
India's vaccine distribution network is one of the largest and most complex in the world, serving over 1.4 billion people through its Universal Immunisation Programme (UIP).However, this vast network relies on a fragile cold-chain that is often monitored through manual, paper-based logs, which are susceptible to human...
Unknown authors· International Journal of Dru...· 0 citations
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Abstract With the rapid deployment of next-generation communication technologies, the demand for highly sensitive and miniaturized microwave detectors has become extremely urgent. Conventional semiconductor diodes suffer from intrinsic drawbacks when detecting submicrowatt signals. Spintronics provides an optimal alter...
Shuhui Liu, Bin Fang, Yawen Luo et al.· ACS Nano· 0 citations
The study examines the use of AI-based anomaly detection in 5G networks, namely, the application of edge computing to mitigate security issues arising from large device densities. With the advent of 5G and decentralized architectures, conventional cloud-based security models cannot rely on high latency and bandwidth ov...
Mykola Madinov, Sergii Khruschak, Василь Волошин et al.· Sustainable Engineering and...· 0 citations
This paper presents an efficient optimization framework for reducing tonal and turbulent boundary-layer trailing-edge noise (TE) of a subscale propeller operating in forward flight. The steady-state Reynolds-averaged Navier–Stokes solver is coupled with the Ffowcs Williams–Hawkings acoustic analogy to predict thickness...
Luca Abergo, Alberto Guardone, Leonard V. Lopes et al.· AIAA Journal· 0 citations
This entry presents Chloroform (CHCl3; CAS 67-66-3; PubChem CID 6212) as a 3D-printable ball-and-stick model in which every atom carries its engraved element symbol (C, H, Cl), so the model can be read without a colour key. Atomic coordinates come from the PubChem-computed 3D conformer (not an experimental crystal stru...
Marcin Krynski· Zenodo (CERN European Organi...· 0 citations
AI-enabled IoT mHealth could expand telemedicine and risk stratification in rural Nigeria, but implementation depends on infrastructure, awareness, trust, and clinical governance. Methods: A cross-sectional survey of 1,000 respondents from six rural communities assessed mobile access, telemedicine and IoT awareness, in...
Hilary Onyeka Okonkwo· Zenodo (CERN European Organi...· 0 citations
A temporal statement store keeps every occurrence of a statement as a record. Each record has its own identifier, a triple, a transaction-time lifetime and a valid-time interval, and other records can refer to it. This paper asks which part of such a store can be exported as a Statement Graph without inventing or renam...
V.I. Pavlyshyn· Zenodo (CERN European Organi...· 0 citations
Abstract To address the problem that traditional facility agriculture environmental control relies on fixed environmental thresholds and cannot adapt to the dynamic environmental requirements of crops at different growth stages, a crop phenology-based Crop Growth Dynamic Threshold Strategy (CGDTS) was proposed. An Inte...
Shuxin Chen, Yongchao Li, Panpan Liu et al.· Scientific Reports· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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