Next-generation phenotyping robot brings AI-driven insight to crop growth and stress response
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Oct-2025 20:11 ET (23-Oct-2025 00:11 GMT/UTC)
A research team has developed PhenoRob-F, an autonomous, cross-row, field phenotyping robot designed to collect high-resolution data on crop growth, yield, and stress response.
A research team has developed a neural network-based approach to automatically generate realistic 3D models of plant leaves—each labeled with precise morphological traits such as length and width.
A research team has developed a novel way to detect disease resistance in loblolly pine (Pinus taeda L.) using near-infrared (NIR) spectroscopy, offering a faster and more objective alternative to traditional visual inspection.
Additive manufacturing (AM), with its high flexibility, cost-effectiveness, and customization, significantly accelerates the advancement of nanogenerators, contributing to sustainable energy solutions and the Internet of Things. In this review, an in-depth analysis of AM for piezoelectric and triboelectric nanogenerators is presented from the perspectives of fundamental mechanisms, recent advancements, and future prospects. It highlights AM-enabled advantages of versatility across materials, structural topology optimization, microstructure design, and integrated printing, which enhance critical performance indicators of nanogenerators, such as surface charge density and piezoelectric constant, thereby improving device performance compared to conventional fabrication. Common AM techniques for nanogenerators, including fused deposition modeling, direct ink writing, stereolithography, and digital light processing, are systematically examined in terms of their working principles, improved metrics (output voltage/current, power density), theoretical explanation, and application scopes. Hierarchical relationships connecting AM technologies with performance optimization and applications of nanogenerators are elucidated, providing a solid foundation for advancements in energy harvesting, self-powered sensors, wearable devices, and human–machine interaction. Furthermore, the challenges related to fabrication quality, cross-scale manufacturing, processing efficiency, and industrial deployment are critically discussed. Finally, the future prospects of AM for nanogenerators are explored, aiming to foster continuous progress and innovation in this field.
Cement stands as a dominant contributor to global energy consumption and carbon emissions in the construction industry. With the upgrading of infrastructure and the improvement of building standards, traditional cement fails to reconcile ecological responsibility with advanced functional performance. By incorporating tailored fillers into cement matrices, the resulting composites achieve enhanced thermoelectric (TE) conversion capabilities. These materials can harness solar radiation from building envelopes and recover waste heat from indoor thermal gradients, facilitating bidirectional energy conversion. This review offers a comprehensive and timely overview of cement-based thermoelectric materials (CTEMs), integrating material design, device fabrication, and diverse applications into a holistic perspective. It summarizes recent advancements in TE performance enhancement, encompassing fillers optimization and matrices innovation. Additionally, the review consolidates fabrication strategies and performance evaluations of cement-based thermoelectric devices (CTEDs), providing detailed discussions on their roles in monitoring and protection, energy harvesting, and smart building. We also address sustainability, durability, and lifecycle considerations of CTEMs, which are essential for real-world deployment. Finally, we outline future research directions in materials design, device engineering, and scalable manufacturing to foster the practical application of CTEMs in sustainable and intelligent infrastructure.
A research team has now proposed an adaptive Bayesian sampling framework that significantly reduces data volume while maintaining accuracy.
A research team has unveiled a sustainable and highly efficient method to produce the FDA-approved acne drug clascoterone.
A new study from Avicenna University Hospital in Marrakesh demonstrates that the plethysmographic perfusion index (PPI), a non-invasive measure derived from standard pulse oximeters, can help guide fluid therapy in critically ill patients with acute circulatory failure. Using a 500-mL fluid challenge in 50 ICU patients, researchers found that changes in PPI after the bolus accurately identified those likely to benefit from additional fluids, offering a low-cost, accessible tool for safer resuscitation.
A study published in the International Journal of Oral Science reveals that the PLAGL1-IGF2 axis plays a vital role in postnatal jaw development. Using a mouse model, researchers showed that PLAGL1 regulates osteoblast differentiation in cranial neural crest cell-derived condyles. Deficiency in PLAGL1 disrupts bone formation, but treatment with IGF2 can rescue this effect. These findings provide new insights into craniofacial development and potential therapeutic targets for mandibular disorders.