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The present research examines the communication channels by which the digital media platforms are enabling transformation toward a sustainable food system in rural China. Through a mixed-methods design including 1,500 WeChat, Douyin, and Pinduoduo content samples, this research links the perspectives of Innovation Diffusion Theory, Media Richness Theory, and Sustainable Food Systems Theory. Findings reveal that visual content dominates digital food communication, with localized content receiving significantly greater engagement than non-localized content. Power-law distribution patterns emerged in communication networks, exhibiting core-periphery structures. Individual farmer accounts demonstrated faster initial diffusion compared to enterprise accounts. Thematic discourse analysis indicates economic topics were most prominent, followed by social and ecological dimensions. The findings suggest that visualization, cultural embeddedness, and authenticity are associated with communication effectiveness, and hence offer an empirical basis for improving strategies to develop a digital village.

It is a formidable challenge to simultaneously achieve wide-gamut, high-resolution, high-speed while low-cost manufacturability, long-term stability, and viewing-angle independence in structural colors for practical applications. The conventional nanofabrication techniques fail to match the requirement in low-cost, large-scale and flexible manufacturing. Processing by pulsed lasers can achieve high throughput while suffering from a narrow gamut of ~15% sRGB or angle-dependent colors. Here, we demonstrate an all-in-one solution for ultrafast laser-produced structural colors on ultrathin hybrid films that comprise an absorbent dielectric TiAlN layer coating on a metallic TiN layer. Under laser irradiation, the absorption behaviours of the TiAlN-TiN hybrid films are tailored by photothermal-induced oxidation on the topmost TiAlN. The oxidized films exhibit double-resonance absorption, which is due to the non-trivial phase shifts both at the oxide-TiAlN interface, and at the TiAlN-TiN interface. By varying the accumulated laser fluence to modulate the oxidation depth, angle-robust structural colors with unprecedented large-gamut of ~90% sRGB are obtained. The highest printing speed reaches 10 cm 2 /s and the highest resolution exceeds 10000 dpi. The durability of the laser-printed colors is confirmed by fastness examination, including salt spray, double-85, light bleaching, and adhesion tests. These features render our technique to be competitive for industrial applications. Structural colours are of broad interest in recent years, yet the conventional nanofabrication techniques fail to match the requirement for large-scale manufacturing. Here, the authors demonstrate the use of pulsed lasers to write structural colours with widegamut, high-resolution, high-speed while low-cost manufacturability, long-term stability, and viewing-angle independence.

It is always a great challenge to bridge the nano- and macro-worlds in nanoscience, for instance, manufacturing uniform nanogratings on a whole wafer in seconds instead of hours even days. Here, we demonstrate a single-step while extremely high-throughput femtosecond laser scanning technique to obtain wafer-scale, highly regular nanogratings on semiconductor-on-metal thin films. Our technique takes advantage of long-range surface plasmons-laser interference, which is regulated by a self-initiated seed. By controlling the scanning speed, two types of nanogratings are readily manufactured, which are produced by either oxidation or ablation. We achieve a record manufacturing speed (>1 cm2 s−1), with tunable periodicity of Λ < 1 µm. The fractional variation of their periodicity is evaluated to be as low as ∆Λ/Λ ≈ 0.5%. Furthermore, by utilizing the semiconductor-on-metal film-endowed interference effects, an extremely high energy efficiency is achieved via suppressing light reflection during femtosecond laser nano-processing. As the fabricated nanogratings exhibit multi-functionality, we exemplify their practical applications in highly sensitive refractive index sensing, vivid structural colors, and durable superhydrophilicity.

China is one of the top countries with the most significant number or proportion of retracted publications, which has garnered significant attention. Using the Retraction Watch Database, we collected retracted articles written by Chinese authors from 31 provinces in mainland China, spanning the period between January 1, 2012, and December 31, 2023. We used Geographical Information Science to analyze spatial distribution characteristics of retracted articles by Chinese authors and identify high-risk clusters of retracted areas. A total of 14,445 retracted articles authored by researchers from 31 provinces in China between 2012 and 2023 were analyzed. The Spatial trend surface analysis and Gravity center movement indicated a gradual increase in the number of retracted articles from the west to the east. The spatial autocorrelation analysis showed that revealed significant spatial clustering in the distribution of retracted articles across the 31 provinces. The results of the spatial-temporal clustering analysis showed that the hotspots were primarily concentrated in Shandong, Jiangsu, Shanghai, Henan, and Anhui. There is a discernible spatial clustering among these retractions, with a gradual increase in the number of retracted articles from west to east. Shandong, Jiangsu, Shanghai, Henan, and Anhui are the hotspots for retractions.

\"How to make safe production management model change into a new model meeting the real needs\", has become the important subject faced by the researchers and practitioners of the current production safety management. From the perspective of individual initiative, this study attempts to use social cognitive theory and anthropology Embeddedness theory to answer the question. This study verifies the influence of personal initiative on safety production management mode transition with 1556 questionnaires from 73 manufacturing enterprises in China. The reliability and validity of all the scales were found acceptable. Path analysis using SPSS-19 and AMOS-17 software showed that there is a significant positive correlation between personal initiative and safety production management mode transition; three dimensions of safety individual behavior (safety passive behavior, safety controlled behavior and safety initiative behavior) play a partial mediating role in personal initiative and safety production management mode transition; three dimensions of on-the-job embeddedness (organization fit, organization link and organization sacrifice) can strengthen the positive correlation between personal initiative and safety production management mode transition. These findings made a new addition to the production management mode transition theory, and had guide significance for enterprises to improve production safety management level.

Mosquito-borne diseases cause millions of deaths every year, imposing a heavy burden on global public health systems and socioeconomic development. In China, mosquito-borne diseases exhibit a pattern of imported cases leading to localized transmission, and in recent years, periodic outbreaks of related diseases have continued to erupt, posing a serious threat to public health security. Additionally, due to global warming, the suitable living range for mosquitoes is continuously expanding, increasing the frequency of outbreaks and the affected areas. Although substantial global resources have been invested in prevention and control research, a definitive solution to completely eradicate mosquito-borne transmission has not yet been established. This review systematically summarizes the three principal mosquito control strategies—mechanical, biological, and chemical—with a particular emphasis on chemical repellents. It delineates the structure-activity relationships, efficacy profiles, mechanisms of action, and toxicological evaluation results of major synthetic repellents. It also elaborates on the active constituents and action mechanisms of plant-based natural repellents, exploring how emerging formulation technologies can enhance the stability and duration of repellents. Moreover, together with China’s practical experience in mosquito-borne disease prevention and control, this review examines domestic research achievements and policy standards, ultimately constructing a theoretical framework to support the development of efficient, safe, and environmentally sustainable mosquito control solutions, thereby contributing to both national and global efforts in mosquito-borne disease prevention and control. Graphical Abstract

Bronchopulmonary dysplasia (BPD) is a chronic lung disease of prematurity and may cause substantial long-term disabilities. To characterize and compare the nasal swabs microbiome of early stage in premature infants and determine whether microbial diversity or composition in the nostrils associated with BPD disease. We performed a prospective observational cohort design. Preterm neonates less than or equal to 30 weeks of gestation were recruited from NICU, Children's Hospital, Zhejiang University School of Medicine from 2019 to 2020. Sterile foam swabs were collected from anterior nares at 1 and 3 weeks of postnatal age. We used PCR amplification and 16S rDNA sequencing. Neonatal demographic data including gestational age, birth weight, medication administration history and discharge outcomes were recorded. A total of 49 nasal swab samples were collected from 28 premature infants. Thirteen infants with BPD and 15 controls were finally involved in the study. Birth weights ranged from 700 to 1550 g. Gestational age ranged from 25 2/7 to 30. We found increased in the expression of Prevotella and decreased of Caulobacter in BPD group at both times. Prevotella and Caulobacter were correlated with the severity of BPD (Spearman r = 0.551, r = − 0.545; P  = 0.00005, 0.00006; respectively). Receiver operating characteristic analysis showed that the area under characteristic curve of Caulobacter model at first week reached 0.821 and Prevotella model at third week was 0.796. Moreover, microbial functional prediction analysis revealed that ABC-type transports were distinctively changed in BPD group. In summary, the use of non-invasive nasal swabs of microbiome to explore the pathophysiology in BPD is a compelling method worthy continuing to expand and research.

In order to improve the accuracy of wind power ramp forecasting and reduce the threat of ramps to the safe operation of power systems, a wind power ramp event forecast model based on feature extraction and deep learning is proposed in this work. Firstly, the Optimized Swinging Door Algorithm (OpSDA) is introduced to detect wind power ramp events, and the extraction results of ramp features, such as the ramp rate, are obtained. Then, a ramp forecast model based on a deep learning network is established. The historical wind power and its ramp features are used as the input of the forecast model, thereby strengthening the model’s learning for ramp features and preventing ramp features from being submerged in the complex wind power signal. A Convolutional Neural Network (CNN) is adopted to extract features from model inputs to obtain the coupling relationship between wind power and ramp features, and Long Short-Term Memory (LSTM) is utilized to learn the time-series relationship of the data. The forecast wind power is used as the output of the model, based on which the ramp forecast result is obtained after the ramp detection. Finally, the wind power data from the Elia website is used to verify the forecast performance of the proposed method for wind power ramp events.

Kinesin superfamily proteins (KIFs) constitute a pivotal class of molecular motors that facilitate the intracellular transport of cellular “cargo.” Their principal functions encompass the participation of the transport of cellular substances along microtubules, as well as the engagement in the formation of the mitotic spindle and the segregation of chromosomes during cellular mitosis. Dysregulation of KIFs expression can precipitate anomalies in intracellular material transport, mitotic abnormalities, aberrant cell proliferation and migration, and genomic instability within cells. Moreover, members of the KIFs are implicated in the proliferation of neural progenitor cells and the migration of neurons, which are critical processes in the development of the central nervous system. To date, an extensive body of research has substantiated the close correlation between mutations or aberrant expression of KIFs and the onset of neurological disorders, including neurotumors, neurodegenerative disease, and psychiatric illnesses. This review will synthesize recent research elucidating the nexus between KIFs and neurodevelopment, as well as their association with neurological diseases.

In wheat, kernel weight (KW) is a key determinant of grain yield (GY). However, it is often overlooked when improving wheat productivity under climate warming. Moreover, little is known about the complex effects of genetic and climatic factors on KW. Here, we explored the responses of wheat KW to diverse allelic combinations under projected climate warming conditions. To focus on KW, we selected a subset of 81 out of 209 wheat varieties with similar GY, biomass, and kernel number (KN) and focused on their thousand-kernel weight (TKW). We genotyped them at eight kompetitive allele-specific polymerase chain reaction markers closely associated with TKW. Subsequently, we calibrated and evaluated the process-based model known as Agricultural Production Systems Simulator (APSIM-Wheat) based on a unique dataset including phenotyping, genotyping, climate, soil physicochemistry, and on-farm management information. We then used the calibrated APSIM-Wheat model to estimate TKW under eight allelic combinations (81 wheat varieties), seven sowing dates, and the shared socioeconomic pathways (SSPs) designated SSP2-4.5 and SSP5-8.5, driven by climate projections from five General Circulation Models (GCMs) BCC-CSM2-MR, CanESM5, EC-Earth3-Veg, MIROC-ES2L, and UKESM1-0-LL. The APSIM-Wheat model reliably simulated wheat TKW with a root mean square error (RMSE) of < 3.076 g TK and R of > 0.575 ( < 0.001). The analysis of variance based on the simulation output showed that allelic combination, climate scenario, and sowing date extremely significantly affected TKW ( < 0.001). The impact of the interaction allelic combination × climate scenario on TKW was also significant ( < 0.05). Meanwhile, the variety parameters and their relative importance in the APSIM-Wheat model accorded with the expression of the allelic combinations. Under the projected climate scenarios, the favorable allelic combinations (TaCKX-D1b + Hap-7A-1 + Hap-T + Hap-6A-G + Hap-6B-1 + H1g + A1b for SSP2-4.5 and SSP5-8.5) mitigated the negative effects of climate change on TKW. The present study demonstrated that optimizing favorable allelic combinations can help achieve high wheat TKW. The findings of this study clarify the responses of wheat KW to diverse allelic combinations under projected climate change conditions. Additionally, the present study provides theoretical and practical reference for marker-assisted selection of high TKW in wheat breeding.