Search Results (515)

Under the twin imperatives of climate change mitigation and sustainable development, achieving a low-carbon transformation of power systems has become a national priority. To clarify this objective, China issued the Blue Book on the Development of New Power System, which comprehensively defines the guiding concepts and characteristic features of a new power system. In this study, natural language processing-based keyword extraction techniques were applied to the document, employing both the TF-IDF and TextRank algorithms to identify its high-frequency terms as characteristic keywords. These keywords were then used as topic queries in the Web of Science Core Collection, yielding 1568 relevant publications. CiteSpace was employed to perform a bibliometric analysis of these records, extracting research hotspots in the new power system domain and tracing their evolutionary trajectories. The analysis revealed that “renewable energy” appeared 247 times as the core high-frequency term, while “energy storage” exhibited both high frequency and high centrality, acting as a bridge across multiple subfields. This pattern suggests that research in the new power system field has evolved from a foundation in renewable energy and storage toward smart grids, market mechanisms, carbon capture, and artificial intelligence applications. Taken together, these results indicate that early research was primarily grounded in renewable energy and storage technologies, which provided the technical basis for subsequent exploration of smart grids and market mechanisms. In the more recent stage, under the dual-carbon policy and digital intelligence imperatives, research hotspots have further expanded toward carbon capture, utilization, and storage (CCUS) and artificial intelligence applications. Looking ahead, interdisciplinary studies focusing on intelligent dispatch and low-carbon transition are poised to emerge as the next major research frontier. Full article

B-cell acute lymphoblastic leukemia (B-ALL) remains a major clinical challenge in hematologic oncology, characterized by a continuous evolution of molecular drivers that shape its heterogeneity across the age spectrum. Pediatric B-ALL is generally associated with high cure rates, while adult forms of the disease are often more aggressive and less responsive to treatment. This review examines the age-specific genetic and epigenetic landscapes that contribute to this disparity, revealing how the nature and timing of molecular alterations point to fundamentally different leukemogenic processes. Favorable genetic aberrations, such as ETV6::RUNX1 and hyperdiploidy, are predominant in children, whereas adults more frequently present with high-risk features, including BCR::ABL1 fusions and IKZF1 deletions. Epigenetic distinctions are similarly age-dependent, involving divergent patterns of DNA methylation, histone modifications, and non-coding RNA expression. For example, pediatric B-ALL frequently harbors mutations in epigenetic regulators like SETD2 and CREBBP, while adult B-ALL is more commonly affected by alterations in TET2 and IDH1/2. These molecular differences are not only prognostic but also mechanistic, reflecting distinct developmental trajectories and vulnerabilities. Understanding these age-driven transitions is essential for improving risk stratification and developing precision therapies tailored to the unique biology of B-ALL across the lifespan. Full article

The complexity of global food supply chains challenges public health, requiring advanced detection technologies beyond traditional lab methods. Fluorescent sensing, known for its sensitivity and quick response, is promising for food safety but hindered by inefficient probe design and difficulties in analyzing complex signals in food. Deep Learning (DL) offers solutions with its nonlinear modeling and pattern recognition capabilities. This review explores recent advancements in DL applications for fluorescent sensing. We explore deep learning methods for predicting fluorescent probe properties and generating fluorescent molecule structures, highlighting their role in accelerating high-performance probe development. We then offer a detailed discussion on the pivotal technologies of deep learning in the intelligent analysis of complex fluorescent signals. On this basis, we engage in a thorough reflection on the core challenges presently confronting the field and propose a forward-looking perspective on the future developmental trajectories of fluorescent sensing technology, offering a comprehensive and insightful roadmap for future research in this interdisciplinary domain. Full article

Hospital design plays a pivotal role in improving patient outcomes, enhancing clinical efficiency, and strengthening infection control. Since the outbreak of COVID-19, research in this field has expanded significantly, showing a marked trend toward interdisciplinary integration. In this study, bibliometric analysis was conducted using CiteSpace (version 6.2.R3) as the primary tool, with Excel and Tableau (version 2024.3) as supplementary software. A total of 877 documents on hospital design published between 1932 and 2025 were retrieved from the Web of Science Core Collection and analyzed from multiple perspectives. The analysis examined publication trends, collaborative networks, co-citation structures, disciplinary evolution, and keyword dynamics. The results indicate that the field has entered a phase of rapid development since 2019. Global collaboration networks are becoming increasingly multipolar; yet, institutional and author-level connections remain decentralized, with relatively low overall density. Evidence-based design (EBD) continues to serve as the theoretical foundation of the field, while emerging themes such as healing environments, biophilic design, and patient-centered spatial strategies have become major research hotspots. Increasingly, the field reflects deeper integration across disciplines, including architecture, medicine, nursing, and environmental science. This study provides a clearer picture of the developmental trajectory, knowledge base, and future directions of hospital design research, offering systematic insights and theoretical guidance for both scholars and practitioners. Full article

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by deficits in social communication, repetitive behaviors, and sensory sensitivities. While genetic factors contribute significantly to ASD risk, a growing body of evidence implicates environmental exposures and immune-mediated mechanisms in the etiology and severity of ASD. This review synthesizes peer-reviewed findings on (1) maternal immune activation, (2) environmental toxicant co-exposures, (3) maternal autoimmune disease, and (4) cerebral folate deficiency (via folate receptor alpha autoantibodies), detailing their mechanistic contributions to core and associated ASD symptoms. Collectively, these findings illuminate converging neuroimmune and metabolic pathways that, when disrupted in utero, substantially alter the developmental trajectory of the brain and increase the likelihood of ASD. Such interruptions leading to developmental changes can trigger immune activation from environmental sources of infection and pollution, with these triggers compounded in cases of autoimmune disease or cerebral folate deficiency. Understanding these mechanisms provides a foundation for early identification, stratified risk assessment, and the development of targeted prenatal interventions. Thus, a lesson we learn from autism is that neurodevelopmental disorders should be understood as the product of combined genetic vulnerabilities and modifiable prenatal and postnatal influences. Further exploration of this framework will open paths for precision intervention and prevention. Full article

The digital economy injects developmental momentum into urban–rural integration through technological penetration, while urban–rural integration expands application scenarios for the digital economy via spatial restructuring. By clarifying the coupling coordination mechanism between these two subsystems, this study employs the coupling coordination degree model, spatial autocorrelation analysis, Markov chain, and spatiotemporal geographically weighted regression model to systematically investigate the development levels of the digital economy and urban–rural integration, the dynamic evolution characteristics of their coupling coordination degree, and the spatiotemporal heterogeneity of influencing factors across 31 provinces of China from 2012 to 2022. The main findings are as follows: (1) The digital economy level exhibited a pronounced upward trajectory with substantial inter-provincial disparities, while urban–rural integration level displayed a modest upward trend accompanied by evident polarization. (2) The coupling coordination degree increased steadily, with the number of provinces experiencing moderate and mild imbalance declining markedly and the contiguous zone of near imbalance expanding. Spatially, the pattern was characterized as “high in the east, low in the west.” (3) The coupling coordination degree exhibited significant positive spatial correlation. High-High agglomeration was concentrated in the eastern coastal regions, while Low-Low agglomeration dominated the western inland areas. The dynamic transfer of the coupling coordination degree revealed a distinct “club convergence” phenomenon. (4) Government support and technological innovation exerted increasingly positive effects on the coupling coordination degree in northeast and north China. Economic development initially exerted a significant positive effect in northwest and southern China, but its impact subsequently shifted to regions north of the Yellow River basin. In several southwest provinces, the influence of industrial structure transitioned from positive to negative. Full article

The AP2/ERF transcription factor family plays pivotal roles in plant growth, stress responses, and defense mechanisms, yet its diversity in camphor trees remains underexplored. This study identified 154 AP2/ERF genes in the Camphora officinarum genome, with over 80% belonging to the ERF subfamily, a distribution consistent with other angiosperms. Synteny analysis revealed that tandem and segmental duplications were key drivers of family expansion, suggesting adaptive diversification under ecological pressures. Structural analysis showed that the majority of ERF/RAV subfamily genes possess a single-exon structure, whereas AP2 subfamily genes display muti-exon structures, indicating divergent evolutionary trajectories and potential functional versatility via alternative splicing. Promoter analyses detected numerous hormone- and stress-responsive elements, linking these genes to abscisic acid, auxin, gibberellin signaling, and pathogen defense. Further expression profiling during stem development showed that approximately 60% of CoAP2/ERF genes were constitutively expressed across 17 expression trends, suggesting roles in basal development and stage-specific processes (e.g., lignification). Under Epicoccum poaceicola infection, 23 CoAP2/ERF genes were differentially expressed. Among them, upregulated ERF homologs related to RAP2.2/2.3 suggested roles in hypoxia and antimicrobial responses, while downregulation of ERF5 homologs indicated a growth–defense trade-off, whereby developmental processes are suppressed to prioritize pathogen resistance. Overall, this study deciphers the genomic architecture and structural diversity of CoAP2/ERF genes, along with expression dynamics of these genes in development and biotic stress adaptation of camphor trees. These findings provide critical insights into transcriptional regulation of development and stress responses in camphor trees and establish a theoretical basis for molecular breeding and biotechnological strategies aimed at improving stress resilience in woody plants. Full article

Surface subsidence caused by coal mining activities generates diverse wetland ecosystems. These newly formed wetlands exhibit distinct environmental characteristics due to variations in subsidence age, resulting in divergent biological communities. While species adapt to environmental changes through specific functional trait combinations, the response of aquatic community functional diversity to environmental gradients across chronosequences of mining subsidence wetlands remains unclear. This study investigated 13 coal mining subsidence wetlands (1–18 years) of macrozoobenthos in Jining, China. Through seasonal monitoring, we analyzed functional traits along with taxonomic and functional diversity patterns. Initial-stage wetlands were dominated by medium-sized (63.9%) and tegument-respiring taxa, whereas late-stage wetlands exhibited a shift toward large-sized (43.9%) and gill-respiring groups. Both species richness and functional richness declined over time, with taxonomic diversity demonstrating greater sensitivity to subsidence age. Seasonal community variability was more pronounced in initial-stage wetlands (1–4 years post-subsidence). Despite increasing habitat heterogeneity with subsidence age, functional redundancy maintains ecosystem stability. The shared origin and developmental trajectory of these wetlands may constrain functional divergence. Current research predominantly relies on traditional taxonomic metrics, whereas our findings emphasize functional trait analysis’s importance for ecosystem assessment, which provides a theoretical framework for ecological restoration and biodiversity conservation in post-subsidence wetlands. Full article

(1) Background: Most studies including health data have relied on reducing all variables to manifest scores, ignoring the latent nature of variables. Moreover, relying only on manifest variables is a limitation of longitudinal studies where identical measures cannot be collected at each time point. (2) Objective: This scoping review aims to identify latent variable statistical methods for longitudinal studies of multi-dimensional health and educational data investigating early health predictors of long-term educational outcomes and developmental trajectories that lead to better or worse than expected outcomes. (3) Eligibility criteria: We included peer-reviewed health and education journal articles, doctoral theses, and book chapters of longitudinal studies of children under 12 years of age that adopted latent variable, multivariate analysis of three or more waves of data. We only included full-text-available, English-written articles, without restriction on date of publication. (4) Sources of evidence: We searched five databases, Scopus, MEDLINE, PsycINFO, ERIC, and Web of Science, and identified 4836 publications for screening. (5) Results: After title, abstract, and full-text screening, nine studies were included in the review, reporting seven statistical methods. These methods were categorised into two groups—variable-oriented modelling and person-oriented modelling. (6) Conclusions: Variable-oriented modelling methods are useful for determining predictors of long-term educational outcomes. Person-oriented modelling methods are effective in detecting trajectories to better or worse than expected outcomes. (7) Registration: Open Science Framework. Full article

This paper systematically examines the key developmental stages of China’s new energy vehicle (NEV) charging and battery swapping industry, analyzing technological breakthroughs, market expansion, and policy support in each phase. The study identifies three distinct stages: the initial exploration phase (before 2014), the comprehensive deployment phase (2014–2020), and the high-quality development phase (since 2021). The industry has established a diverse energy replenishment system centered on charging infrastructure, with battery swapping serving as a complementary approach. Policy implementation has yielded significant achievements, including rapid infrastructure expansion, continuous technological upgrades, innovative business models, and improved user experiences. However, persistent challenges remain, such as insufficient standardization, unprofitable business models, and coordination barriers between stakeholders. The paper forecasts future development trajectories, including the widespread adoption of high-power charging technology, intelligent charging system upgrades, integration of Solar Power, Energy Storage, and EV Charging, diversified operational ecosystems for charging/swapping facilities, deep integration of virtual power plants, and the construction of comprehensive energy stations. Policy recommendations emphasize strengthening standardization, optimizing regional coordination and subsidy mechanisms, enhancing participation in virtual power plant frameworks, promoting the interoperability of charging/swapping infrastructure, and advancing environmental sustainability through resource recycling. Full article

An in-depth analysis of land use dynamics during the evolution of regional urban systems is crucial for understanding developmental trajectories and promoting coordinated urban growth. This study adopts a land-use perspective, examining the expansion of urban construction land while identifying its source areas. By integrating Zipf’s law and using urban construction land area as an indicator of urban scale, this research analyzes transformations within the urban system. The findings reveal the following: (1) The total area of urban construction land in the Yangtze River Delta has continued to expand over time, exhibiting an inverted U-shaped curve, with high concentration observed in riverine and coastal zones. (2) Cultivated land serves as the primary source for construction land, contributing on average 77.70% over the past 25 years, amounting to a conversion of 5664.51 square kilometers. Rural residential areas rank second, contributing an average of 11.90%. (3) The rank-size distribution of cities based on urban land area largely aligns with Zipf’s law, albeit with deviations at both ends. The Pareto index increased from 0.803 to 0.897, indicating a trend toward weaker dispersion and greater concentration in urban size distribution. In conclusion, future urban development should emphasize rational expansion grounded in sustainable practices, strengthen farmland protection to ensure food security, and effectively manage rural land transformation to promote efficient land use and ecological balance. These measures will support the balanced and coordinated development of large, medium, and small cities within the urban system. Full article

Cardiovascular disease (CVD) remains the leading cause of global mortality, despite advances in adult-focused prevention and therapy. Mounting evidence supports the Developmental Origins of Health and Disease (DOHaD) paradigm, which identifies early-life exposures as critical determinants of long-term cardiovascular health. Among the key mechanistic pathways, oxidative stress and gut microbiota dysbiosis have emerged as central, interrelated contributors to cardiovascular programming. Prenatal and postnatal insults can induce sustained redox imbalance and disrupt microbial homeostasis. This disruption creates a feed-forward loop that predisposes offspring to CVD later in life. Antioxidants offer a promising reprogramming strategy by targeting both oxidative stress and gut microbiota composition. Preclinical studies demonstrate that maternal antioxidant interventions—such as vitamins, amino acids, melatonin, polyphenols, N-acetylcysteine, and synthetic agents—can restore redox homeostasis, modulate gut microbial communities, and attenuate cardiovascular risk in offspring. This review synthesizes current evidence on how oxidative stress and gut microbiota act together to shape cardiovascular trajectories. It also examines how antioxidant-based therapies may disrupt this pathological axis during critical developmental windows. Although human data remain limited due to ethical and practical constraints, advancing microbiota-targeted antioxidant interventions may offer a transformative approach to prevent CVD at its origins. Full article

The literature has consistently shown the link between parental depressive symptoms and adolescent depressive symptoms. Emotion regulation processes may explain this association, with self-compassion acting as a potential mediating mechanism. This study aimed to explore these developmental trajectories using a longitudinal design. The sample comprised dyads of parents and adolescents (N = 311), assessed across two assessment waves (T1 and T2) over 12 months. The adolescents’ mean age was 13.63 years (SD = 1.30; 173 males). Mediation analyses using structural equation modelling supported the role of self-compassion in mediating the relationship between parental and adolescent depressive symptoms over time (53% of outcome variance explained). The results suggest that fostering self-compassion early in adolescence may help prevent the later adverse effects of depressive symptoms. Full article

Substance use during pregnancy is an increasingly important yet under-recognized threat to maternal and child health. This narrative review synthesizes the current evidence available on the epidemiology, pathophysiology, clinical management, and policy landscape of prenatal exposure to alcohol, tobacco, opioids, benzodiazepines, cocaine, cannabis, methamphetamines, and other synthetic drugs. All major psychoactive substances readily cross the placenta and can remain detectable in breast milk, leading to a shared cascade of obstetric complications (hypertensive disorders, placental abruption, pre-term labor), fetal consequences (growth restriction, structural malformations), and neonatal morbidities such as neonatal abstinence syndrome and sudden infant death. Mechanistically, trans-placental diffusion, oxidative stress, inflammatory signaling, and placental vascular dysfunction converge to disrupt critical neuro- and cardiovascular developmental windows. Early identification hinges on the combined use of validated screening questionnaires (4 P’s Plus, CRAFFT, T-ACE, AUDIT-C, TWEAK) and matrix-specific biomarkers (PEth, EtG, FAEE, CDT), while effective treatment requires integrated obstetric, addiction, and mental health services. Medication for opioid use disorders, particularly buprenorphine, alone or with naloxone, confers superior neonatal outcomes compared to methadone and underscores the value of harm-reducing non-punitive care models. Public-health strategies, such as Mexico’s “first 1 000 days” framework, wrap-around clinics, and home-visiting programs, demonstrate the potential of multisectoral interventions, but are hampered by structural inequities and punitive legislation that deter care-seeking. Research gaps persist in polysubstance exposure, culturally tailored therapies, and long-term neurodevelopmental trajectories. Multigenerational, omics-enabled cohorts, and digital longitudinal-care platforms represent promising avenues for closing these gaps and informing truly preventive perinatal health policies. Full article

In humans, taurine (TAU) is a conditionally essential nutrient that exhibits pleiotropic activity in several and different biological processes suggesting its use in the prevention and therapy for a long time. However, its actual role in prevention and treatment is still incomplete and unclear. This review focuses on the potential therapeutic effect of TAU in genetic diseases, cardiovascular diseases (heart failure, hypertension), metabolic syndrome, and on the first pandemic of the third millennium, namely, diabetes mellitus and some gestational diseases such as gestational diabetes, intrauterine growth restriction, and pre-eclampsia, discussing the role of TAU in developmental trajectory. Previous preclinical and clinical TAU investigations predominately enrolled male animals, including humans, even though sex and gender differences play a critical role both in numerous physiological and pathological conditions. This review aims to outline some biological actions of TAU and evidences the sex and gender gap must be reduced in order to establish the role of TAU in prevention and therapy for all individuals. Full article