A wheelchair directed by the blinks of your eye…

https://j.people.com.cn/n3/2026/0203/c95952-20422094.html

A professor at Qingdao University in Shandong Province has developed a groundbreaking system that generates electricity when people blink, supplying power to glasses that allow patients with amyotrophic lateral sclerosis (ALS) to control their wheelchairs simply by moving their eyes.

With conventional eye tracking devices, patients who wanted to operate a wheelchair and move around had to wear a heavy device on their head and be connected to a long electrical cord. Furthermore, alarms of low battery levels did discouraging patients from moving around on their own.

The eye tracking system of the team generates and supplies electricity by attaching dimethylpolysiloxane (PDMS)  to the surface of the user’s eyeball like a contact lens, creating a “micro-friction generator.” When the user blinks or moves their eyeball, friction occurs between the eyeball and PDMS, continuously generating electricity.

In an eyeglass frame worn by the user, transparent electrodes made of indium tin oxide are embedded, acting as a transducer. The transparent electrodes precisely track the distribution and changes of electric charge through electrostatic induction and convert it into a recognizable electrical signal in real time. This signal is then transmitted to an external device via a control circuit, ultimately enabling highly precise control.

Before this technology can leave the lab and be widely applied, however, a series of hurdles must be overcome for industrialization.

An illustration of controlling a wheelchair through blinking and eye movements (photo courtesy of interviewee).

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https://j.people.com.cn/n3/2026/0527/c94476-20460938.html

The Haier Group has announced an ultra-lightweight, artificial intelligence (AI)-powered exoskeleton robot designed to assist with movement. The company claims that using this robot can reduce physical energy expenditure by up to 37%.

The W3 features a “full carbon fiber + titanium alloy” design, resulting in a main unit weight of just 1.75 kilograms (kg). Equipped with the AI ​​Gait Algorithm 3.0 and built-in multi-dimensional sensors, the device can interpret a user’s movement intentions in milliseconds. Furthermore, it utilizes a “high-torque dual-motor + high-energy battery” system; the maximum assistive force per leg reaches 16 Newton-meters (N·m), effectively reducing the physical load on the body by approximately 5 kg.

According to Haier, the robot also features a “short-stride walking” mode designed to accommodate the specific gait characteristics of elderly individuals—namely, reduced muscle strength and a shortened stride length. By precisely compensating for muscle weakness, the device aims to enable a more stable and secure walking experience.

http://english.cas.cn/newsroom/research-news/202604/t20260428_1158214.shtml

https://www.pnas.org/doi/10.1073/pnas.2530496123

Researchers from the CAS Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) have identified a conserved ubiquitin-mediated regulatory mechanism that coordinates metabolic flux among multiple biosynthetic pathways in yeast.

Eukaryotic cells operate under constant resource constraints, requiring them to allocate limited carbon supplies among multiple biosynthetic processes. Pathways responsible for producing carotenoids, sterols, and lipids are particularly interconnected, as they rely on shared metabolic precursors. Yet how cells dynamically balance these competing demands has remained unclear.

Using astaxanthin-producing Xanthophyllomyces dendrorhous yeast, the researchers identified an E3 ubiquitin ligase, PTR1, as a central regulatory hub that links carotenoid, sterol, and lipid metabolism. Further analysis revealed a PTR1-centered regulatory network that integrates these pathways. PTR1 modulates carotenoid biosynthesis through a reciprocal regulatory loop with the White Collar Complex (WCC), which is a key transcriptional regulator associated with carotenoid production. In addition, several PTR1-interacting proteins were identified, suggesting broader roles in fine-tuning sterol and lipid metabolism. Importantly, PTR1 homologs are conserved across diverse eukaryotic lineages, indicating that ubiquitin-mediated regulation represents an evolutionarily conserved strategy for coordinating metabolic networks.

http://english.cas.cn/newsroom/research-news/202604/t20260423_1157877.shtml

https://doi.org/10.1016/j.tibtech.2026.03.017

A team led by the CAS Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) has developed a new “process ramanomics” platform. This technology enables real-time, data-driven control of biomanufacturing.

The researchers validated their approach in polyhydroxyalkanoate (PHA) fermentation, a key route for biodegradable polyesters used in packaging and medical materials. Powered by machine learning, the platform achieved 99.75% accuracy in distinguishing PHB-producing cells from P34HB-producing ones, and quantified total PHA content and monomer composition at the single-cell level with a median absolute deviation below 3.8%, comparable to traditional gas chromatography.

In a pivotal 5,000-liter industrial fermenter trial, traditional offline testing pointed to harvesting at 28 hours when PHA content registered 66.32%. Process ramanomics, however, revealed a compositional shift invisible to conventional methods: the 4HB monomer ratio was 8.67% at 26 hours (within specification) but climbed to 11.28% by 28 hours, exceeding the compliance limit, demonstrating that earlier termination could safeguard product quality.

The platform’s single-cell resolution also showed that the content of intracellular PHA can vary by more than threefold among individual cells. At 26 hours, population heterogeneity was lowest, with 91.54% of cells producing at high levels and a 4HB composition that was within specification. This confirmed that 26 hours was the optimal harvest window.

The scientists further showed that process ramanomics can be applied to different chassis organisms and products. For example, it can be used for protein synthesis in yeast and lipid synthesis in Rhodococcus. This suggests that process ramanomics could serve as a general-purpose analytics engine for next-generation intelligent bioreactors.

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