Over the past five years, China's Agriculture Green Development (AGD) program has made significant progress in developing innovative crop production methods and technologies. The program aims to promote sustainable agriculture by reducing agrochemical inputs and environmental impacts.
Research has led to biomarker-directed treatment options for patients with advanced NSCLC featuring specific driver mutations. Targeted therapies have improved patient survival but also raised the need to understand resistance mechanisms.
The study highlights epigenetic dysregulation as a key factor in the development of autoimmune-related skin diseases, such as systemic lupus erythematosus and psoriasis. Epigenetic modifications, including DNA methylation and histone changes, can serve as potential biomarkers for disease diagnosis.
Researchers discovered that alternate day fasting aggravates atherosclerosis in mice by suppressing the expression of hepatic activating transcription factor 3 (ATF3). ADF also increased cholesterol profiles, contradicting its protective effects against obesity and metabolic disorders. The study sheds light on the complex role of ATF3 ...
This study proposes a non-Euclidean configuration based on Möbius rings to control topological photonic states via the spin-locked effect. The work enables polarization control and tuning of topological phase in non-Euclidean space.
Researchers summarize physiological functions of pituitary hormones in non-classical organs, revealing unconventional biological effects. This discovery provides new insights into pituitary hormone regulation and expands knowledge of their targets and functions.
Researchers developed a synthesis method for white LEDs in halide perovskites, achieving sufficient blue emission and improving stability. By doping metal ions into the material, they created crystals that emit white light with tunable color.
Researchers developed a single-laser direct writing method to create multiple materials, including silver and graphene, with high sensitivity and stability. The technique utilizes photo-thermal conversion to synthesize materials with desired morphologies and structures.
Researchers developed an algorithm that combines polarization and visible images to reveal multi-dimensional features, improving target detection accuracy. The NSCT transform is used to fuse the images, compensating for limitations of single-image sensors.
Researchers created high-efficiency Se-containing electrocatalysts for overall water splitting using 2D layered metal-organic frameworks. The unique structure and synergistic effect between components significantly improve the electrochemical performance.
A new research proposes a novel unified variational model that simultaneously obtains haze-free image, transmission map, and noise map. The model achieves both haze removal and noise suppression, outperforming previous methods.
Research reveals that abnormal microbes in adipose tissue of postnatal growth retardation piglets alter energy metabolism and glycolipid balance. Supplementation with phosphatidylethanolamine alleviates metabolic disorders and improves growth.
A new approach to reconstructing 3D faces from single depth images uses a fusion of auto-labeled synthetic and unlabeled real data, achieving competitive performance on challenging datasets.
Researchers analyze complexity of two classes of regular exact (k,d)-SAT problems, finding phase transition points and bounds through experimental simulation. The study reveals theoretical results consistent with experimental findings, providing clearer upper and lower bounds for instances that are satisfied and unsatisfied.
Federated learning allows multiple data owners to train models collaboratively on sensitive data, enabling applications such as disease prediction and risk assessment. The survey focuses on federated learning with privacy guarantees, exploring techniques like multi-party computation to secure communication and computation.
A research team proposes MMCo, a Co-teaching-like method using multimodal information and parallel networks to detect malicious traffic with noisy labels. The approach maintains disagreement and enhances robustness, achieving higher accuracy compared to existing methods.
Researchers propose TEPG, a traffic engineering-based power-aware greedy routing algorithm for backbone networks with bundled links. The algorithm achieves significant network power savings and improved performance compared to existing schemes.
A single-center study found that ultrahypofractionated whole breast irradiation after breast-conserving surgery had no severe toxicities and did not affect patient-reported outcomes. Most patients (83.9%) were diagnosed with pathological stage I disease, and cosmetic effects showed no obvious differences before and after treatment.
The proposed AEIR method learns cross-modal consistency representations using parallel data and optimizes adversarial learning-based semantic transfer constraints. Experimental results show that AEIR outperforms current methods in image-sentence retrieval tasks.
A new method, GRINCD, infers causal relationships in gene regulatory networks using graph neural networks and achieves superior performance on predicting regulatory relationships. The approach identifies crucial potential regulators driving disease progression, such as colon cancer.
A novel approach integrates node attributes and topological structure to detect polarized communities, improving search quality. The adaptive fusion framework leverages complementary information from both aspects.
Researchers found that phosphorus addition had a more significant effect on soil nematodes than nitrogen addition, increasing their abundance. The study also revealed an interactive effect between nitrogen and phosphorus additions, with added nitrogen alleviating soil acidification when combined with phosphorus.
Researchers found that combining SORA with FGF21 increases the sensitivity of SORA to HCC cells under hypoxia conditions. This combination therapy promotes apoptosis and inhibits tumor growth through the PI3K/AKT pathway, suggesting a new potential treatment approach for advanced liver cancer.
Researchers improved differential-neural cryptanalysis for round-reduced Simeck32/64, achieving higher accuracy than existing methods. They also launched practical 16- and 17-round key recovery attacks for the algorithm.
Advanced lung cancer patients treated with combination chemoradiotherapy have a higher incidence of mixed infections and elevated inflammatory markers. Antibiotic therapy is recommended to ensure coverage of gram-negative bacilli pathogens.
The study found that bacteria communities are the most sensitive to soil amendment-induced changes, while protistan phototrophs and consumers increase with amendments. Protist taxa Cercozoa play a crucial role in regulating microbial interactions under Cd-contaminated conditions.
A study by Chinese scientists reveals that dAcsl regulates systemic lipid homeostasis by modulating interorgan lipid transport. The researchers found that dAcsl knockdown leads to disruptions in overall lipid metabolism, ER stress, and abnormal protein glycosylation.
A novel dynamic routing planning framework DTT-STG was proposed to address limitations in existing research, integrating map-matching, road speed forecasting, and route planning. The framework captures dynamically changing spatial-temporal dependencies using diffusion convolution and attention mechanisms.
A newly designed degenerated primer significantly improves COX1 barcoding performance in soil nematode community profiling. The primer pair outperforms conventional 18S metabarcoding methods with broader taxon recovery and higher amplicon production.
A new detection framework, CW-YOLO, enhances mask wearing detection in low-light conditions by integrating layer decomposition and adaptive feature fusion. The proposed model achieves better results on benchmark datasets DARK FACE and PWMFD.
Researchers created a single-nucleus resolution atlas of white adipose tissue in five depots, including subcutaneous, epididymal, mesenteric, perirenal, and pericardial tissues. The study reveals diverse cell types, with immune cells, endothelial cells, and fibroblast-adipogenic progenitors being more heterogeneous across depots.
This study found that high nitrogen fertilizer input shaped more complex microbial networks in paddy soils, with positive links predominating across all networks. The proportion of negative links was increased in the high-N network, suggesting potential competition among microbes.
Researchers developed bifunctional electrocatalysts for efficient hydrogen production through overall hydrazine splitting, achieving a cell voltage of 0.984 V and operating stably for over 130 hours. This innovative approach enhances the efficiency of hydrogen production and holds promise for a cleaner energy future.
Researchers developed synthetic microbial communities to control weeds while promoting crop growth, reducing herbicide consumption and enhancing wheat yields. The study found that combining these microbial communities with low-dose herbicides can rescue up to 22% of lost grain yield under weed-infested conditions.
A new material, NiFe2O4-delta, has been developed with enhanced conductivity and a 3.7-fold increase in capacitance compared to its counterpart. This breakthrough could lead to improved supercapacitor performance and contribute to the advancement of sustainable energy solutions.
Breathing dissipative soliton vanishes, replaced by dynamic behavior. Researchers at Zhejiang Normal University observed transient breathing dynamics during the extinction process of dissipation solitons in ultrafast fiber lasers.
This study found that fluvo-aquic soil treated with CTC-manure had a higher shift in operational taxonomic units and community composition of antibiotic-resistant bacteria compared to black and red soils. The application of manure led to increased microbial resistance, particularly in fluvo-aquic soil.
Researchers have successfully generated high power fiber lasers at 1.2 μm waveband using stimulated Raman scattering effect in phosphorus-doped fibers, achieving record-breaking output powers of up to 735.8 W. This breakthrough has significant implications for photodynamic therapy, biomedical diagnosis, and oxygen sensing applications.
New research reveals nitrogen fertilizers affect predatory protists more than other groups, changing trophic interactions and prey populations. This study provides crucial insights into sustainable soil fertility and rice production.
The article discusses the author's journey into plant humanities, a field that combines biology and culture to promote plant appreciation. Plant South Salesroom, an action group in China, facilitates public-engaged practices to break down 'plant blindness' and foster dialogue between science and humanities.
A new numerical program improves light scattering analysis at the nanoscale by enhancing multipole decomposition calculations. The program significantly improves accuracy and efficiency using Lebedev and Gaussian quadrature methods.
A recent study explores the connection between NOx control and reduction of sulfate-nitrate-ammonium (SNA) and ozone (O3) levels. The research found that controlling NOx emissions is a potent measure for protecting the environment, especially in lowering harmful particles and ground-level ozone.
This article analyzes the work of two influential landscape architects, Xiaoxiang Sun and Lawrence Halprin, to explore their intellectual potentials for contemporary landscape architecture theory. Their theories focus on the role of nature, form-giving, and aesthetic experience in designed landscapes.
A building project reacts to three topographical approaches in a remote Chinese landscape, balancing architectural pursuits with engineering concerns. The project reconciles demands at different scales and functions, promoting an effective dialogue between architecture and its landscape settings.
Cesium removal from radioactive wastewater is a challenging task due to the complex chemical nature of cesium and sheer volume of contaminated water. Recent studies have explored various methods, including adsorption and membrane separation, which show promise for effective treatment with low environmental impact.
Researchers developed a method to suppress deep-level traps in tin-based perovskite solar cells, leading to improved efficiency and stability. By using semicarbazide hydrochloride additives, they reduced non-radiative recombination and increased charge lifetime, achieving champion PCEs approaching 11%.
This article explores the significance of site perception training in landscape architecture, arguing that experiencing sites precedes form-making training. Five methods for landscape site perception are introduced, including sketching, notation, and spatial structure mapping, to provide a visualized pathway for site perception.
Researchers developed an ultrafast fiber laser system with a record-breaking average power output of 403 W, 0.5 mJ pulse energy, and 260 fs. The integrated electronic dispersion hardware effectively compensates for high-order dispersion, optimizing pulse width while achieving superior improvement in pulse quality.
Researchers investigated the co-occurrence of gadolinium and sulfamethoxazole on the fate of antibiotic and heavy metal resistance genes in activated sludge systems. The study found that Gd and SMX affect ARGs, MRGs, and mobile genetic elements, providing new insights into their interactions and removal in wastewater treatment plants.
The study analyzes artificial mountain making in traditional Chinese gardens from a topographical perspective, highlighting the importance of form, space, and time in creating dynamic landscapes. The research contributes to the development of Landscape Architecture in contemporary China.