分类： science

A groundbreaking study from Chinese researchers has overturned conventional wisdom about sandstorm damage, revealing that moderate wind and sand erosion can actually enhance the structural integrity of concrete surfaces in desert environments. The collaborative research between the Northwest Institute of Eco-Environment and Resources (NIEER) under the Chinese Academy of Sciences and Lanzhou Jiaotong University provides a scientific basis for improving reinforcement methods for infrastructure in arid regions.

Published in the prestigious journal Composites Part B: Engineering, the study investigated the interface performance of wind-and-sand-eroded concrete when reinforced with carbon fiber-reinforced polymer (CFRP). Unlike previous research that focused on ideal flat interfaces, this pioneering work simulated various wind-sand environments through mechanical testing and microscopic analysis.

Lead researcher Liu Benli from NIEER explained the counterintuitive findings: “Moderate abrasion forms a microstructure conducive to the bonding of the reinforcing layer. In vivid terms, the process resembles a sculptor carving rough textures into stone for subsequent reinforcement.” The research demonstrated that wind and sand impact creates microscopic grooves on material surfaces, providing natural anchoring points for coatings and protective materials that significantly enhance interfacial bonding.

The quantitative results were striking: sand erosion increased the interface ultimate bearing capacity of CFRP-concrete specimens by 31 percent and amplified surface roughness by a factor of 10 compared to uneroded specimens. The research team also developed predictive models for interfacial bearing capacity and bond-slip relationships that incorporate abrasion effects, showing strong alignment with experimental data.

According to Zhang Kai, associate professor at Lanzhou Jiaotong University’s School of Civil Engineering, the study represents a significant advancement: “For the first time, we’ve achieved quantitative correlation between environmental conditions and interface performance. Engineers can now precisely predict material load-bearing capacity based on wind and sand intensity.” This breakthrough enables the scientific utilization of sandstorms as a ‘natural power’ to sustain infrastructure in desert regions, potentially transforming how engineers approach construction and maintenance in challenging environments.

A team of Chinese researchers has achieved a significant milestone in artificial intelligence by developing an innovative neural network capable of simulating human concept formation. The breakthrough, detailed in a recent publication in Nature Computational Science, represents a fundamental advancement in understanding how AI can form abstract concepts from raw sensory data such as visual and auditory inputs.

The research collaboration between the Institute of Automation of the Chinese Academy of Sciences and Peking University has produced CATS Net (Concept-Abstraction Task-Solving Network), a novel framework that addresses critical limitations in current AI systems. Unlike conventional large language models that rely exclusively on pre-existing linguistic data, this new architecture enables spontaneous concept generation through experiential learning.

CATS Net operates through two integrated modules: a concept-abstraction component that processes sensory information, and a task-solving module that performs specific functions including recognition and judgment tasks. This dual-structure approach allows the system to autonomously develop an extensive “concept space” – a structured repository of abstract representations that mirrors human cognitive organization.

Remarkably, the framework enables knowledge transfer between different AI systems through aligned concept spaces, eliminating the requirement for retraining on raw data. This capability closely parallels human communication patterns where shared conceptual understanding facilitates efficient information exchange.

Through comprehensive brain imaging studies, the research team demonstrated that CATS Net’s conceptual organization aligns closely with human cognitive and linguistic patterns. The neural activity patterns observed during the network’s operation show significant correspondence with concept-processing regions in the human brain, suggesting the model not only mimics but potentially illuminates the computational mechanisms underlying human concept formation.

This research provides unprecedented insights into both artificial intelligence development and fundamental neuroscience, offering new pathways for creating AI systems that learn and reason more like humans while advancing our understanding of cognitive processes.

A groundbreaking study led by South China University of Technology has revealed a previously unknown neurological mechanism linking social isolation to anxiety disorders. Published in the prestigious journal Cell Metabolism, the research demonstrates how prolonged solitude triggers iron accumulation in the brain’s emotional regulation centers, creating a biological pathway for social anxiety development.

The research team, under the direction of Associate Professor Wang Zhuo in collaboration with Zhejiang University and Southern Medical University, discovered that isolated mice exhibited abnormal iron elevation specifically in the ventral hippocampus region. Contrary to iron’s traditional perception as a neural nutrient, the study reveals its dual nature under psychological stress, where excessive amounts trigger destructive neurological processes.

Professor Wang describes the mechanism as ‘ferroplasticity’—iron-mediated, experience-dependent neuroplasticity that directly connects cerebral iron metabolism disorders to affective conditions. The excessive iron activates alpha-synuclein proteins, inducing abnormal neuronal hyperexcitability that Wang compares to an electrical short circuit constantly transmitting anxiety signals throughout the nervous system.

The most promising aspect of the discovery lies in its therapeutic implications. Through targeted nasal administration addressing either iron or alpha-synuclein molecules, researchers successfully reversed anxiety behaviors in mice within two weeks—significantly faster than the four weeks required for traditional resocialization approaches.

This breakthrough suggests potential noninvasive interventions for over one billion people worldwide affected by isolation-related psychological issues. The research team is now advancing human safety studies and dosage optimization for nasal spray formulations while developing noninvasive imaging techniques to detect ventral hippocampal iron deposition.

The World Health Organization has recognized social isolation as a major global health threat, making this discovery particularly timely. The findings offer hope for vulnerable populations including isolated elderly individuals, remote workers, postoperative patients, and socially avoidant adolescents who might benefit from precisely targeted, non-pharmaceutical anxiety interventions.

In a groundbreaking development at Shandong University of Science and Technology, researchers have successfully engineered cyborg cockroaches capable of navigating complex disaster scenarios. These biohybrid insects, equipped with miniature cameras and neural stimulation devices, represent a significant leap in search-and-rescue technology.

The innovation centers on a sophisticated bioneural regulation system that directs cockroach movements through precisely calibrated electrical pulses applied to their antennae. This approach leverages the insect’s natural agility while maintaining human control, creating an efficient reconnaissance platform for environments inaccessible to humans or traditional robotics.

Professor Huai Ruituo, leading the research initiative, emphasizes the transformative potential: “Following catastrophic events like earthquakes or structural collapses, these enhanced insects can rapidly survey hazardous areas while transmitting real-time visual data to rescue teams.”

The technological breakthrough extends beyond emergency response applications. The research team identifies additional implementations including agricultural pest monitoring, industrial facility inspections, and pipeline maintenance operations where conventional robotics face limitations.

A key achievement involves the development of an automated surgical platform that streamlines device implantation, increasing procedure efficiency sixfold while maintaining a remarkable 99% success rate. Each unit requires approximately 20 minutes to prepare at a minimal cost equivalent to $6.50, operating continuously for 50 minutes with a total lifespan extending to three months.

This research continues SDUST’s pioneering work in bionic animal systems dating to the late 1990s, when Professor Su Xuecheng first proposed overcoming traditional robotics limitations by integrating living organisms with electronic control systems. The university previously developed China’s first cyborg rat in 2005 and subsequently advanced avian guidance systems using pigeons.

Looking forward, Vice-President Chen Shaojie outlines the institution’s roadmap: “We’re integrating artificial intelligence with our biohybrid robotics expertise to evolve beyond remote control toward autonomous perception and decision-making capabilities in dynamic environments.”

In the formidable terrain of Yunnan’s Nujiang Lisu Autonomous Prefecture, a team of 33 geological specialists from the Kunming General Survey of Natural Resources Center is conducting a groundbreaking mineral mapping initiative. Their mission: to systematically analyze a 44-square-kilometer radius surrounding China’s largest open-pit lead-zinc mine in Lanping.

The expedition, launched in early January, represents the critical first phase of mineral exploration. Team members like Wang Tianyi navigate treacherous slopes and freezing conditions while executing precise sampling protocols. Their methodology involves collecting soil samples at precise 40×100 meter intervals, followed by solar drying, mechanical pulverization, and sophisticated geochemical composition testing.

Wang recently described an unexpected January 28th encounter where his team gently relocated a stray calf blocking mountain access roads—a comparatively benign interruption compared to previous wildlife encounters with bears and wild boars. With 90% of their massive survey already completed, the team has now turned to the most challenging sector: the rugged northern central zone.

‘This is physically demanding work, but each sample brings us closer to discovering new mineral deposits,’ noted the 35-year-old geologist. ‘That makes every hardship worthwhile.’

These scientific efforts provide invaluable data about the region’s mineral potential, enabling strategic planning for future resource exploration and sustainable extraction operations. The team’s findings could significantly impact China’s mineral resource management and economic development planning.

A groundbreaking international scientific collaboration has been launched to map the evolutionary history of land plants, aiming to address critical challenges in biodiversity conservation, food security, and pharmaceutical development. The PLANeT initiative, involving over 40 research institutions worldwide including China’s Botanical Society, Peking University, and the Agricultural Genomics Institute at Shenzhen, represents one of the most comprehensive plant genomics projects ever undertaken.

According to Dr. Wang Li, a leading researcher at the Shenzhen genomics institute, the project addresses a fundamental knowledge gap: despite hundreds of millions of years of plant evolution, scientists still lack a clear understanding of how major plant groups are related. More than 99% of land plant species currently lack high-quality reference genomes, significantly limiting evolutionary and genetic studies.

The ambitious initiative will systematically sample plant groups at key taxonomic levels that currently lack reference genomes. Using advanced phylogenomic methods that combine evolutionary biology with genomics, researchers plan to construct a high-resolution phylogenetic tree of land plants. This framework will help scientists trace critical evolutionary nodes and understand both shared genetic traits and unique characteristics across plant species.

To manage the massive volume of genomic data, the project will integrate artificial intelligence into its research framework. Dr. Wang explains the innovative approach: “Just as language models learn grammar and meaning from large amounts of text, genomic language models can learn the ‘common language’ of plants.” By analyzing tens of thousands of plant genomes, AI systems will be trained to recognize conserved DNA sequence patterns, regulatory networks, and functional modules embedded in DNA sequences.

The project has already completed genome assemblies for representative species from all orders of angiosperms (flowering plants). Its ambitious goals include identifying 1,000 bioactive natural products for drug discovery, discovering 100 potential new economic crops, and establishing what researchers term “a common language of land plants.”

Beyond biodiversity conservation, the genomic data is expected to revolutionize crop improvement strategies in response to climate change. By identifying genes crucial for disease resistance, drought tolerance, and salt tolerance, researchers hope to accelerate the development of climate-resilient crops and strengthen global food security.

The initiative also promises to transform conservation efforts. While traditional conservation has been constrained by limited field observations, genomic information will enable scientists to identify species experiencing genetic erosion more efficiently, allowing for better-informed protection strategies and more accurate extinction risk assessments.

Professor Chong Kang, president of China’s Botanical Society and an academician of the Chinese Academy of Sciences, emphasized the project’s far-reaching implications: “We can foresee that the project will greatly drive research across a broad spectrum of fields—from fundamental studies and biodiversity conservation to crop improvement and natural product-inspired drug discovery.”

The PLANeT initiative represents a significant step toward unlocking the genetic potential of Earth’s plant diversity, with applications spanning medicine, agriculture, and environmental conservation.

In the formidable landscapes of Yunnan province, a team of 33 geologists from the Kunming General Survey of Natural Resources has embarked on an ambitious mineral prospecting mission. Equipped with geological hammers, heavy backpacks, and distinctive blue uniforms, these specialists face extreme conditions while surveying a 44-square-kilometer area surrounding a significant lead-zinc deposit in the Nujiang Lisu Autonomous Prefecture.

The challenging terrain features near-vertical cliffs that pierce the sky and treacherous rocky pathways concealed beneath thick vegetation. Beyond the physical demands of navigating this rugged environment, team members confront the emotional difficulty of prolonged separation from their families—a sacrifice that weighs heavily on these dedicated professionals.

Their scientific mission represents critical fieldwork for China’s geological survey efforts, combining traditional prospecting methods with modern geological analysis techniques. The data collected will contribute to understanding the region’s mineral resources and potential for future resource development.

Despite the hardships, these geologists demonstrate remarkable perseverance, driven by scientific curiosity and commitment to their field. Their work provides valuable insights into both the practical challenges of geological fieldwork and the human stories behind mineral exploration in China’s most demanding environments.

A groundbreaking paleontological discovery has emerged from the coastal cliffs of northern Spain, where an international team of scientists from China and Spain has identified exceptionally preserved Jurassic-era lizard trackways. This landmark find, documented in the journal Ichnos, represents the first recorded evidence of lizard tracks from the Jurassic period ever discovered in Europe.

The research was spearheaded by Laura Piñuela of Spain’s Jurassic Museum of Asturias (MUJA) in collaboration with Dr. Xing Lida from China University of Geosciences (Beijing). Their investigation focused on two distinct trackways found in the Lastres Formation within the renowned ‘Dinosaur Coast’ of Villaviciosa, Asturias—an area celebrated for its abundance of prehistoric reptile footprints.

One trackway consists of seven clearly defined footprints indicating a trackmaker measuring approximately 50 centimeters in body length, while the second trail features six impressions from a smaller individual around 30 centimeters long. These tracks now stand as the most recent global discovery of their kind, offering unprecedented insights into the diversity and behavior of small reptiles during the Late Jurassic epoch.

The scientific approach combined field fossil examination with laboratory simulation techniques. Chinese researchers conducted comparative experiments in Wuxi, Jiangsu province, observing the movement patterns of modern lizards in controlled sand environments. By analyzing both contemporary and ancient traces, the team established that certain locomotor mechanisms and alert postures seen in present-day lizards existed as far back as 150 million years ago.

Dr. Xing highlighted the significance of this evolutionary conservatism, noting that ‘the study provides valuable evidence for understanding behavioral evolution in ancient reptiles.’ European co-author Jose Carlos Garcia-Ramos added that modern technology has enabled researchers to reconstruct scenes where these prehistoric creatures crawled, turned, and potentially paused to survey their surroundings in delta wetland environments.

The fossils are currently preserved and publicly displayed at MUJA, serving as both scientific resources and public educational artifacts. This collaborative project establishes a successful model for international paleontological research combining field discovery with laboratory simulation.

Chinese space researchers have achieved a significant technological advancement in lunar exploration by creating a sophisticated high-resolution model designed to pinpoint thermally stable water ice deposits in the moon’s southern polar region. This development emerges from the Key Laboratory of Solar Activity and Space Weather at the National Space Science Center (NSSC) under the Chinese Academy of Sciences.

The innovative lunar polar water-ice thermal stability model incorporates previously unaccounted thermal properties of lunar soil under extreme low-temperature conditions. This enables precise simulation of surface radiation patterns, soil temperature variations, and identification of regions where water ice can remain stable over geological timescales without sublimating into space.

Published in the Planetary Science Journal, the research specifically targets the Shackleton Crater area, which has been designated as a primary candidate landing zone for China’s upcoming Chang’e 7 mission scheduled for launch in 2026. The mission’s core scientific objective involves conducting unprecedented high-precision remote sensing and in-situ analysis of lunar water ice deposits.

According to the research team, this model represents a substantial improvement over previous assessment methods by providing a detailed ‘treasure map’ of potential ice preservation sites. The technology calculates illumination distribution, lunar soil temperature gradients, and stable zones for volatile compounds including water ice with remarkable accuracy.

The practical applications extend beyond mere mapping—the model will directly guide the Chang’e 7 mission’s detection strategies, helping mission planners identify optimal locations for ice sampling and analysis. This capability is crucial for the mission’s success in locating and characterizing one of the moon’s most valuable resources.

As Tang Yuhua, deputy chief designer of the Chang’e 7 mission, previously emphasized, the discovery of accessible lunar water ice would dramatically reduce the economic and logistical constraints of transporting water from Earth. Such a finding would enable sustainable human presence on the moon and serve as a critical stepping stone for deeper space exploration, including potential missions to Mars and beyond.