UC Davis researchers found olive trees produce the same yields and high-quality oil when using 25-50% less fertilizer.

We systematically review 34 relevant studies between 2015 and 2025 following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, focusing on the combination of multimodal wearable sensing with learning models.

A collaborative research team from the National Institute for Fusion Science (NIFS), the University of Tokyo, Kyushu University, and Brookhaven National Laboratory has, for the first time, directly and precisely measured changes in the internal electric potential of a fusion plasma under conditions similar to those expected in fusion reactors.

 

This achievement establishes a new method for in situ evaluation of plasma confinement states, providing key insights for the control and performance optimization of next-generation fusion reactors. The internal plasma potential plays a crucial role in determining how effectively energy is confined within the plasma. By combining advanced accelerator technology with non-contact plasma diagnostics, the researchers have opened a new path toward direct understanding of the behavior of fusion-core plasmas.

The University of Osaka D3 Center and NEC Corporation (NEC; TSE: 6701) have jointly commenced a demonstration aimed at the application of a wide-area distributed campus AI processing platform that enables on-demand use of GPU’s from compute servers. This demonstration will leverage NEC's "ExpEther," a technology that transmits signals from IT equipment with high reliability and low latency, to build a high-performance AI processing platform that can connect and disconnect compute servers and GPUs on-demand, even when they are in different buildings across campus.

The growing prevalence of exercise-induced tibial stress fractures demands wearable sensors capable of monitoring dynamic musculoskeletal loads with medical-grade precision. While flexible pressure-sensing insoles show clinical potential, their development has been hindered by the intrinsic trade-off between high sensitivity and full-range linearity (R² > 0.99 up to 1 MPa) in conventional designs. Inspired by the tactile sensing mechanism of human skin, where dermal stratification enables wide-range pressure adaptation and ion-channel-regulated signaling maintains linear electrical responses, we developed a dual-mechanism flexible iontronic pressure sensor (FIPS). This innovative design synergistically combines two bioinspired components: interdigitated fabric microstructures enabling pressure-proportional contact area expansion (∝ P^1/3) and iontronic film facilitating self-adaptive ion concentration modulation (∝ P^2/3), which together generate a linear capacitance-pressure response (C ∝ P). The FIPS achieves breakthrough performance: 242 kPa⁻¹ sensitivity with 0.997 linearity across 0–1 MPa, yielding a record linear sensing factor (LSF = 242,000). The design is validated across various substrates and ionic materials, demonstrating its versatility. Finally, the FIPS-driven design enables a smart insole demonstrating 1.8% error in tibial load assessment during gait analysis, outperforming nonlinear counterparts (6.5% error) in early fracture-risk prediction. The biomimetic design framework establishes a universal approach for developing high-performance linear sensors, establishing generalized principles for medical-grade wearable devices.