Curtain wall systems have evolved from aesthetic facade elements into multifunctional building envelopes that actively contribute to energy efficiency and climate responsiveness.This reviewpresents a comprehensive exa...Curtain wall systems have evolved from aesthetic facade elements into multifunctional building envelopes that actively contribute to energy efficiency and climate responsiveness.This reviewpresents a comprehensive examination of curtain walls from an energy-engineering perspective,highlighting their structural typologies(Stick and Unitized),material configurations,and integration with smart technologies such as electrochromic glazing,parametric design algorithms,and Building Management Systems(BMS).Thestudy explores the thermal,acoustic,and solar performance of curtain walls across various climatic zones,supported by comparative analyses and iconic case studies including Apple Park,Burj Khalifa,and Milad Tower.Key challenges—including installation complexity,high maintenance costs,and climate sensitivity—are critically assessed alongside proposed solutions.A central innovation of this work lies in framing curtain walls not only as passive architectural elements but as dynamic interfaces that modulate energy flows,reduce HVAC loads,and enhance occupant comfort.The reviewed data indicate that optimized curtain wall configurations—especially those integrating electrochromic glazing and BIPV modules—can achieve annual energy consumption reductions ranging fromapproximately 5%to 27%,depending on climate,control strategy,and facade typology.The findings offer a valuable reference for architects,energy engineers,and decision-makers seeking to integrate high-performance facades into future-ready building designs.展开更多
Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its i...Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its invasive nature and associated risks have shifted clinical practice toward non-invasive modalities.^([1]) Among these methods,point-of-care ultrasound(POCUS) has gained widespread acceptance,offering real-time bedside evaluation of cardiac function.展开更多
Parkinson’s disease(PD)is a debilitating neurological disorder affecting over 10 million people worldwide.PD classification models using voice signals as input are common in the literature.It is believed that using d...Parkinson’s disease(PD)is a debilitating neurological disorder affecting over 10 million people worldwide.PD classification models using voice signals as input are common in the literature.It is believed that using deep learning algorithms further enhances performance;nevertheless,it is challenging due to the nature of small-scale and imbalanced PD datasets.This paper proposed a convolutional neural network-based deep support vector machine(CNN-DSVM)to automate the feature extraction process using CNN and extend the conventional SVM to a DSVM for better classification performance in small-scale PD datasets.A customized kernel function reduces the impact of biased classification towards the majority class(healthy candidates in our consideration).An improved generative adversarial network(IGAN)was designed to generate additional training data to enhance the model’s performance.For performance evaluation,the proposed algorithm achieves a sensitivity of 97.6%and a specificity of 97.3%.The performance comparison is evaluated from five perspectives,including comparisons with different data generation algorithms,feature extraction techniques,kernel functions,and existing works.Results reveal the effectiveness of the IGAN algorithm,which improves the sensitivity and specificity by 4.05%–4.72%and 4.96%–5.86%,respectively;and the effectiveness of the CNN-DSVM algorithm,which improves the sensitivity by 1.24%–57.4%and specificity by 1.04%–163%and reduces biased detection towards the majority class.The ablation experiments confirm the effectiveness of individual components.Two future research directions have also been suggested.展开更多
Background:Low-dose rate(LDR)prostate brachytherapy is a recommended treatment of localized prostate cancer in current guidelines.The study aimed to determine biochemical relapse-free survival(BRFS)in patients treated...Background:Low-dose rate(LDR)prostate brachytherapy is a recommended treatment of localized prostate cancer in current guidelines.The study aimed to determine biochemical relapse-free survival(BRFS)in patients treated with dynamic real-time low-dose rate(LDR)brachytherapy using Iodine 125(I^(125)).Methods:We retrospectively reviewed 499 patients with localized prostate cancer treated with I^(125) LDR realtime brachytherapy between 2003 and 2021.The mean patient age was 65 years(range:45–84 years).Based on the National Comprehensive Cancer Network(NCCN)risk classification,230 patients(46.1%)were categorized as low risk,235(47.1%)as intermediate risk,and 34(6.8%)as high risk.Gleason scores were distributed as follows:3+3 in 283 cases(56.7%),3+4 in 157 cases(31.5%),4+3 in 46 cases(9.2%),and 4+4 in 13 cases(2.6%).The mean follow-up was 70.5 months.Results:Tumor relapse was observed in 47 patients(9.4%)over a mean follow-up period of 6.26 years(SD 4.16).Local recurrence within the prostate occurred in 20 cases(4%).Patients with nadir PSA<0.2 ng/mL at 5 years of follow-up had a significantly lower incidence of tumor recurrence(3%)compared to those with a nadir PSA>0.2 ng/mL(21.9%)(p=0.0001).Biochemical relapse-free(BRFS)rates at 5,10 and 15 years were 96%,91.5% and 88.9%,respectively.When stratified by NCCCN risk groups,5-year BRFS was 96% in low risk,98% in intermediate risk and 85% in high risk patients(p=0.003).Inmultivariate analysis,only age at the time of brachytherapy(p=0.009),initial PSA(p=0.007)and Gleason grade(p=0.007)were significantly associated with tumor recurrence.Cancer-specific survival and overall survival were 99.8% and 98.0%,respectively.Conclusions:LDR with I^(125) has excellent longterm oncological outcomes for patients with low and intermediate-risk prostate cancer,in particular,patients achieving a nadir PSA<0.2 ng/mL at 5 years post-treatment.展开更多
Oxidative stress significantly contributes to secondary damage after spinal cord injury.Despite its importance,research on oxidative stress in spinal cord injury remains limited.Investigating the expression and regula...Oxidative stress significantly contributes to secondary damage after spinal cord injury.Despite its importance,research on oxidative stress in spinal cord injury remains limited.Investigating the expression and regulation of oxidative stress-related genes could enhance the diagnosis and treatment of spinal cord injury.In this study,we analyzed the sequencing data of human blood samples and injured mouse spinal cord tissue that were sourced from GEO databases and identified diagnostic biomarkers associated with the severity of spinal cord injury.We also explored the expression patterns of oxidative stress-related genes,potential regulatory mechanisms,and therapeutic drugs.To validate our findings,we performed immunofluorescence and quantitative polymerase chain reaction to assess gene expression in the injured spinal cord.Our results revealed biomarkers associated with oxidative stress and immune responses across different levels of spinal cord injury in humans.We identified differentially expressed oxidative stress-related genes and key hub genes in injured mouse spinal cord tissue and revealed their temporal expression patterns at both the tissue and single-cell levels.We also clarified the signaling pathways associated with oxidative stress and identified ligand-receptor pairs among various cell types at different time points after injury.Furthermore,we discovered microRNAs,long non-coding RNAs,and transcription factors that regulate these hub genes and revealed their roles in modulating gene expression at various stages after spinal cord injury.We also identified drugs targeting these hub genes.The findings from this study not only aid in identifying diagnostic biomarkers that reflect the severity of spinal cord injury,but also provide insights into the expression dynamics of oxidative stress-related genes.In addition,the study reveals potential regulatory mechanisms and identifies potential drugs to treat patients with spinal cord injury.展开更多
Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects exte...Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects extend into deeper and more mountainous terrains,engineers face increasingly complex geological conditions,including high water pressure,intense geo-stress,elevated geothermal gradients,and active fault zones.These conditions pose substantial risks such as high-pressure water inrush,largescale collapses,and tunnel boring machine(TBM)blockages.Addressing these challenges requires advanced detection technologies capable of long-distance,high-precision,and intelligent assessments of adverse geology.This paper presents a comprehensive review of recent advancements in tunnel geological ahead prospecting methods.It summarizes the fundamental principles,technical maturity,key challenges,development trends,and real-world applications of various detection techniques.Airborne and semi-airborne geophysical methods enable large-scale reconnaissance for initial surveys in complex terrain.Tunnel-and borehole-based approaches offer high-resolution detection during excavation,including seismic ahead prospecting(SAP),TBM rock-breaking source seismic methods,fulltime-domain tunnel induced polarization(TIP),borehole electrical resistivity,and ground penetrating radar(GPR).To address scenarios involving multiple,coexisting adverse geologies,intelligent inversion and geological identification methods have been developed based on multi-source data fusion and artificial intelligence(AI)techniques.Overall,these advances significantly improve detection range,resolution,and geological characterization capabilities.The methods demonstrate strong adaptability to complex environments and provide reliable subsurface information,supporting safer and more efficient tunnel construction.展开更多
Acalypha gaumeri(Euphorbiaceae)is the only endemic species of the genus in the Yucatan Peninsula.It is dioecious and has antifungal properties against various phytopathogens.In the present study,molecular identificati...Acalypha gaumeri(Euphorbiaceae)is the only endemic species of the genus in the Yucatan Peninsula.It is dioecious and has antifungal properties against various phytopathogens.In the present study,molecular identification of A.gaumeri was performed using the rbcL region,confirming its belonging to the Acalypha genus.Its genetic diversity was evaluated using 10 SPAR markers(ISSR and DAMD)from 60 individuals collected from female and male plants of the Kiuic,Tinum and Yaxcaba ex-situ populations.The results showed a high level of genetic polymorphism(PIC=0.980)and significant differences among the populations.Ethanol and aqueous extracts from leaves,stems,and roots of both genders and three populations were evaluated against three phytopathogenic fungi.Only the ethanol extracts of the roots showed inhibitory antifungal activity,whereas Kiuic and Tinum,both male and female individuals,showed inhibitory effects at 1000μg/mL against the three pathogens.The ethanol extract of the female flowering plant of Kiuic showed activity at minimum inhibitory concentrations of 250μg/mL against Alternaria chrysanthemi CICY004 and 500μg/mL against Colletotrichum gloeosporioides CICY002 and Penicillium oxalicum ITC25.Chromatographic profile of the ethanol extracts confirmed the presence of alkaloidal components in the ex-situ cultivated plants,which were analyzed by HPLC.The results revealed that the peaks at T_(R) of 7.60,7.88,and 8.49 min were the most abundant components(9.95%-21.93%),with differences between female and male plants of the three populations.This research confirms that A.gaumeri cultivated and genetically characterized is a potential raw material to develop an eco-friendly product for the control of fungal diseases in crops.展开更多
In recent years bird hunting has become a topical issue in public debate in Poland.Some organizations and communities actively engaged in nature conservation efforts propose a complete ban on hunting,arguing it needs ...In recent years bird hunting has become a topical issue in public debate in Poland.Some organizations and communities actively engaged in nature conservation efforts propose a complete ban on hunting,arguing it needs to be introduced for ethical reasons and to ensure a more effective species protection.This discussion frequently involves cases when hunters break the law,illustrated by photographs published on social media,documenting culling of legally protected species.In response hunters mention the need to verify the sources and the context for published materials.展开更多
Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs:the integrated stress response(ISR)and the senescence-associated secretory phenotype(SASP)...Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs:the integrated stress response(ISR)and the senescence-associated secretory phenotype(SASP).These pathways act as a Yin-Yang system,balancing beneficial and detrimental outcomes across development,tissue homeostasis,and disease.On the yin(protective)side,transient ISR activation and acute SASP signaling foster adaptation,embryonic patterning,wound healing,and regeneration.On the yang(maladaptive)side,chronic ISR signaling and unresolved SASP output drive stem cell exhaustion,fibrosis,inflammation,and tumorigenesis.This duality highlights their roles as both guardians and disruptors of stem cell integrity.Mechanistically,ISR regulates translational control via eukaryotic initiation factor 2 alpha(eIF2α)phosphorylation and activating transcription factor 4(ATF4)-dependent transcription,while SASP reprograms the extracellular milieu through cytokines,growth factors,and proteases.Their crosstalk creates feedback loops that shape tissue niches and long-termstemcell potential.Framing ISR-SASP interactions through a Yin-Yang lens underscores the balance between resilience and decline,to offer new insights into regenerative medicine,anti-aging interventions,and cancer therapeutics.展开更多
Background:The medicinal material known as Os Draconis(Longgu)originates from fossilized remains of ancient mammals and is widely used in treating emotional and mental conditions.However,fossil resources are nonrenewa...Background:The medicinal material known as Os Draconis(Longgu)originates from fossilized remains of ancient mammals and is widely used in treating emotional and mental conditions.However,fossil resources are nonrenewable,and clinical demand is increasingly difficult to meet,leading to a proliferation of counterfeit products.During prolonged geological burial,static pressure from the surrounding strata severely compromises the microstructural integrity of osteons in Os Draconis,but Os Draconis still largely retains the structural features of mammalian bone.Methods:Using verified authentic Os Draconis samples over 10,000 years old as a baseline,this study summarizes the ultrastructural characteristics of genuine Os Draconis.Employing electron probe microanalysis and optical polarized light microscopy,we examined 28 batches of authentic Os Draconis and 31 batches of counterfeits to identify their ultrastructural differences.Key points for ultrastructural identification of Os Draconis were compiled,and a new identification approach was proposed based on these differences.Results:Authentic Os Draconis exhibited distinct ultrastructural markers:irregularly shaped osteons with traversing fissures,deformed/displaced Haversian canals,and secondary mineral infill(predominantly calcium carbonate).Counterfeits showed regular osteon arrangements,absent traversal fissures,and homogeneous hydroxyapatite composition.Lab-simulated samples lacked structural degradation features.EPMA confirmed calcium carbonate infill in fossilized Haversian canals,while elemental profiles differentiated lacunae types(void vs.mineral-packed).Conclusion:The study established ultrastructural criteria for authentic Os Draconis identification:osteon deformation,geological fissures penetrating bone units,and heterogenous mineral deposition.These features,unattainable in counterfeits or modern processed bones,provide a cost-effective,accurate identification method.This approach bridges gaps in TCM material standardization and supports quality control for clinical applications.展开更多
Purpose:ATLAS is a cross-sectional study aiming to investigate environmental and genetic determinants of athletic performance in healthy Greek competitive athletes(CA).This article presents the study design,investigat...Purpose:ATLAS is a cross-sectional study aiming to investigate environmental and genetic determinants of athletic performance in healthy Greek competitive athletes(CA).This article presents the study design,investigates the muscle strength performance(MSP)of 289 adult and teenage CA,exercisers,and physically inactive individuals(PI),and proposes predictive models of MSP for adults.Methods:Muscle maximal,speed,and explosive strength(MMS/MSS/MES)at unilateral maximal concentric flexion and extension contraction(FC/EC)were evaluated using Biodex System 3 PRO^(TM)at 60°/s,180°/s,and 300°/s,while additional performance markers were assessed through field ergometric testing.Participants were interviewed about their lifestyle,dietary habits,physical activity,injury,and medical history.Body composition was assessed via bioelectrical impedance.gDNA was extracted from biochemical samples and then genotyped.Statistical analysis was conducted using IBM SPSS Statistics v21.0 and R.Results:Age,fitness,and sex impacted correlations of MSP with body composition and anthropometric measurements(p<0.05).Among CA,females outperformed males in accuracy(p<0.001)while,males outperformed females in anaerobic power,MSP,speed,and endurance(p<0.001).Adult CA outperformed exercisers and PI in MMS,MSS,and MES(p<0.05).Multiple linear regression models,with predictors age,FFM,body extremity,training load explained the majority of variation in MMS(R^(2)_(adj):71.4%–88.9%),MSS(R^(2)_(adj):64.8%–78.4%),and MES(R^(2)_(adj):52.7%–68.4%)at EC,FC,and their mean(p<0.001).Conclusions:Muscle-strengthening strategies should be customized according to individual fitness levels,body composition,and anthropometric measurements.The innovative sex-specific regression models assessing MMS,MSS,and MES at EC and FC provide a framework for personalizing rehabilitation and skill-specific training strategies.展开更多
Endochondral ossification is a physiological process involving a sequential formation of cartilage and bone tissues.Classically,cartilage and bone formation have been considered independent processes at cellular level...Endochondral ossification is a physiological process involving a sequential formation of cartilage and bone tissues.Classically,cartilage and bone formation have been considered independent processes at cellular level.However,the recently described multiple cell differentiation dynamics suggest that some bone cells are indeed the progeny of cartilage cells,or chondrocyte-derived osteoblasts.We hypothesized that the cartilage-to-bone phenotype transition is triggered by specific molecular events.First,the process was assessed in mouse bone tissue,and then,it was mimicked using in vivo cell implantation and in vitro serial differentiation protocols.Data indicates that cartilage cells transition to bone cell phenotype during postnatal physiological bone formation.This process can be reproduced using cartilage precursor cells coupled to specific implantation procedures or differentiation protocols.Gene expression profiling reveals that NOTCH,BMP and MAPK signaling pathways are relevant at the phenotype-switch,while the transcription factors Mesp1,Alx1,Grhl3 and Hmx3 are the feasible driver genes for chondrocyte-derived osteoblasts formation.Altogether,this report shows that endochondral ossification can be modeled using primary cell cultures and data indicate that this process is regulated by specific molecular events,previously described at skeleton morphogenesis during embryo development,and from now on also linkable to postnatal bone development and regeneration processes.展开更多
Synaptic pruning is a crucial process in synaptic refinement,eliminating unstable synaptic connections in neural circuits.This process is triggered and regulated primarily by spontaneous neural activity and experience...Synaptic pruning is a crucial process in synaptic refinement,eliminating unstable synaptic connections in neural circuits.This process is triggered and regulated primarily by spontaneous neural activity and experience-dependent mechanisms.The pruning process involves multiple molecular signals and a series of regulatory activities governing the“eat me”and“don't eat me”states.Under physiological conditions,the interaction between glial cells and neurons results in the clearance of unnecessary synapses,maintaining normal neural circuit functionality via synaptic pruning.Alterations in genetic and environmental factors can lead to imbalanced synaptic pruning,thus promoting the occurrence and development of autism spectrum disorder,schizophrenia,Alzheimer's disease,and other neurological disorders.In this review,we investigated the molecular mechanisms responsible for synaptic pruning during neural development.We focus on how synaptic pruning can regulate neural circuits and its association with neurological disorders.Furthermore,we discuss the application of emerging optical and imaging technologies to observe synaptic structure and function,as well as their potential for clinical translation.Our aim was to enhance our understanding of synaptic pruning during neural development,including the molecular basis underlying the regulation of synaptic function and the dynamic changes in synaptic density,and to investigate the potential role of these mechanisms in the pathophysiology of neurological diseases,thus providing a theoretical foundation for the treatment of neurological disorders.展开更多
Human-modified landscapes serve as ecological filters,determining species distributions and persistence.Energy-efficient technologies,while crucial for climate change mitigation,represent novel filters whose impacts o...Human-modified landscapes serve as ecological filters,determining species distributions and persistence.Energy-efficient technologies,while crucial for climate change mitigation,represent novel filters whose impacts on synanthropic biodiversity are poorly understood.We investigated how attached sunspaces,a widely adopted energy-saving technology in rural China,filter the distribution of two ecologically important aerial insectivores,the Barn Swallow(Hirundo rustica)and Red-rumped Swallow(Cecropis daurica).We surveyed 106 villages during the 2024 and 2025 breeding seasons and recorded a total of 2323 nests(612 Barn Swallow,1711 Red-rumped Swallow).Using Generalized Linear Models,we assessed their responses to building characteristics,landscape composition and the prevalence of sunspaces.Barn Swallow nests preferred perches at the base and single attachment faces,while Red-rumped Swallow nests favored multiple attachment faces and avoided long shelters.The proportion of buildings with sunspaces acted as a strong positive filter for Barn Swallow nest abundance(+24%)but as a significant negative filter for Red-rumped Swallow(-51%).Other landscape variables(e.g.,human population density,NDVI,Human Footprint Index)were not significant.This study demonstrates that specific architectural innovations can act as powerful ecological filters,leading to divergent distributional outcomes for sympatric species reliant on anthropogenic structures.Our findings reveal a critical trade-off in sustainable development:energy efficiency gains may inadvertently reduce habitat suitability for certain species.To reconcile climate and biodiversity goals in rural landscapes,we advocate integrating species-specific habitat requirements into building design.We propose actionable modifications to sunspaces to support swallows without compromising energy savings.These principles provide a template for mitigating the distributional impacts of green infrastructure globally.展开更多
Hereditary cardiomyopathies and arrhythmias are major contributors to cardiovascular morbidity and mortality.The advent of next-generation sequencing(NGS)has made genetic testing more accessible,which is crucial for p...Hereditary cardiomyopathies and arrhythmias are major contributors to cardiovascular morbidity and mortality.The advent of next-generation sequencing(NGS)has made genetic testing more accessible,which is crucial for precise diagnosis and targeted therapeutic strategies.The aim of this study is to explore the landscape of genetic variants,the relationship between specific variants and clinical phenotypes,and the impact on clinical decision-making in China.A total of 1536 probands(median age,37 years;1025 males[66.7%])with suspected hereditary cardiomyopathy or arrhythmia(covering 15 clinical phenotypes)are recruited from 146 hospitals across 30 provinces and cities in China.Positive results are confirmed in 390 of 1536 probands,leading to a diagnostic yield of 25.4%.Forty-two and three-tenths percent(n=169)of family members carry the same variants as positive probands.Hypertrophic cardiomyopathy(HCM)and dilated cardiomyopathy(DCM)are the predominant phenotypes,with MYBPC3 variants having the highest frequency in HCM and TTN variants in DCM.In 76.9%of the positive probands,the identified variants are helpful in clinical management,family screening,and fertility.This large-scale study provides significant insights into the genetic landscape of hereditary cardiomyopathies and arrhythmias in China.展开更多
Global challenges,including resource inefficiency,rising food demand,sustainability concerns,and climate change,necessitate more efficient and resilient agricultural systems.Conservation agriculture(CA),which is based...Global challenges,including resource inefficiency,rising food demand,sustainability concerns,and climate change,necessitate more efficient and resilient agricultural systems.Conservation agriculture(CA),which is based on the principles of the minimum mechanical soil disturbance,permanent soil organic cover,and species diversification,provides a promising solution.This study examined the principles and mechanisms of CA,assessed its benefits and constraints,and identified key research gaps.This study focused on CA outcomes related to soil health,biodiversity,productivity,and ecosystem services,considering factors such as climate,soil type,and management practices.CA has demonstrated the potential to improve soil health,enhance biodiversity,and boost productivity across diverse regions.However,its effectiveness has been found to vary across studies,emphasizing the need for a more critical understanding of its benefits and limitations.Moreover,variations in outcomes are evident due to differences in experimental methodologies,environmental conditions,and socioeconomic factors.For the widespread adoption of CA practices,it is necessary to make personalized adjustments to it,integrating the corresponding technologies,thereby meeting the needs of farmers.Interdisciplinary research is crucial to refining CA practices and addressing existing knowledge gaps.This study is practiced to enhance the understanding of the potential of CA to promote a sustainable global food production system.展开更多
Machine learning-assisted methods for rapid and accurate prediction of temperature field,mushy zone,and grain size were proposed for the heating−cooling combined mold(HCCM)horizontal continuous casting of C70250 alloy...Machine learning-assisted methods for rapid and accurate prediction of temperature field,mushy zone,and grain size were proposed for the heating−cooling combined mold(HCCM)horizontal continuous casting of C70250 alloy plates.First,finite element simulations of casting processes were carried out with various parameters to build a dataset.Subsequently,different machine learning algorithms were employed to achieve high precision in predicting temperature fields,mushy zone locations,mushy zone inclination angle,and billet grain size.Finally,the process parameters were quickly optimized using a strategy consisting of random generation,prediction,and screening,allowing the mushy zone to be controlled to the desired target.The optimized parameters are 1234℃for heating mold temperature,47 mm/min for casting speed,and 10 L/min for cooling water flow rate.The optimized mushy zone is located in the middle of the second heat insulation section and has an inclination angle of roughly 7°.展开更多
Large language models(LLMs)have emerged as transformative tools in radiology artificial intelligence(AI),offering significant capabilities in areas such as image report generation,clinical decision support,and workflo...Large language models(LLMs)have emerged as transformative tools in radiology artificial intelligence(AI),offering significant capabilities in areas such as image report generation,clinical decision support,and workflow optimization.The first part of this manuscript presents a comprehensive overview of the current state of LLM applications in radiology,including their historical evolution,technical foundations,and practical uses.Despite notable advances,inherent architectural constraints,such as token-level sequential processing,limit their ability to perform deep abstract reasoning and holistic contextual understanding,which are critical for fine-grained diagnostic interpretation.We provide a critical perspective on current LLMs and discuss key challenges,including model reliability,bias,and explainability,highlighting the pressing need for novel approaches to advance radiology AI.Large concept models(LCMs)represent a nascent and promising paradigm in radiology AI,designed to transcend the limitations of token-level processing by utilizing higher-order conceptual representations and multimodal data integration.The second part of this manuscript introduces the foundational principles and theoretical framework of LCMs,highlighting their potential to facilitate enhanced semantic reasoning,long-range context synthesis,and improved clinical decision-making.Critically,the core of this section is the proposal of a novel theoretical framework for LCMs,formalized and extended from our group’s foundational concept-based models-the world’s earliest articulation of this paradigm for medical AI.This conceptual shift has since been externally validated and propelled by the recent publication of the LCM architectural proposal by Meta AI,providing a large-scale engineering blueprint for the future development of this technology.We also outline future research directions and the transformative implications of this emerging AI paradigm for radiologic practice,aiming to provide a blueprint for advancing toward human-like conceptual understanding in AI.While challenges persist,we are at the very beginning of a new era,and it is not unreasonable to hope that future advancements will overcome these hurdles,pushing the boundaries of AI in Radiology,far beyond even the most state-of-the-art models of today.展开更多
Pancreatic vipoma is an extremely rare tumor accounting for less than 2% of endocrine pancreatic neoplasms with a reported incidence of 0.1-0.6 per million. While cross-sectional imaging findings are usually not speci...Pancreatic vipoma is an extremely rare tumor accounting for less than 2% of endocrine pancreatic neoplasms with a reported incidence of 0.1-0.6 per million. While cross-sectional imaging findings are usually not specific, exact localization of the tumor by means of either computed tomography(CT) or magnetic resonance(MR) is pivotal for surgical planning. However, cross-sectional imaging findings are usually not specific and further characterization of the tumor may only be achieved bysomatostatin-receptor scintigraphy(SRS). We report the case of a 70 years old female with a two years history of watery diarrhoea who was found to have a solid, inhomogeneously enhancing lesion at the level of the pancreatic tail at Gadolinium-enhanced MR(Somatom Trio 3T, Siemens, Germany). The tumor had been prospectively overlooked at a contrast-enhanced multi-detector CT(Aquilion 64, Toshiba, Japan) performed after i.v. bolus injection of only 100 cc of iodinated non ionic contrast media because of a chronic renal failure(3.4 mg/mL) but it was subsequently confirmed by SRS. The patient first underwent a successful symptomatic treatment with somatostatin analogues and was then submitted to a distal pancreasectomy with splenectomy to remove a capsulated whitish tumor which turned out to be a well-differentiated vipoma at histological and immuno-histochemical analysis.展开更多
The Routing Protocol for Low-power and Lossy Networks(RPL)is widely used in Internet of Things(IoT)systems,where devices usually have very limited resources.However,RPL still faces several problems,such as high energy...The Routing Protocol for Low-power and Lossy Networks(RPL)is widely used in Internet of Things(IoT)systems,where devices usually have very limited resources.However,RPL still faces several problems,such as high energy usage,unstable links,and inefficient routing decisions,which reduce the overall network performance and lifetime.In this work,we introduce TABURPL,an improved routing method that applies Tabu Search(TS)to optimize the parent selection process.The method uses a combined cost function that considers Residual Energy,Transmission Energy,Distance to the Sink,Hop Count,Expected Transmission Count(ETX),and Link Stability Rate(LSR).Simulation results show that TABURPL improves link stability,lowers energy consumption,and increases the packet delivery ratio compared with standard RPL and other existing approaches.These results indicate that Tabu Search can handle the complex trade-offs in IoT routing and can provide a more reliable solution for extending the network lifetime.展开更多
文摘Curtain wall systems have evolved from aesthetic facade elements into multifunctional building envelopes that actively contribute to energy efficiency and climate responsiveness.This reviewpresents a comprehensive examination of curtain walls from an energy-engineering perspective,highlighting their structural typologies(Stick and Unitized),material configurations,and integration with smart technologies such as electrochromic glazing,parametric design algorithms,and Building Management Systems(BMS).Thestudy explores the thermal,acoustic,and solar performance of curtain walls across various climatic zones,supported by comparative analyses and iconic case studies including Apple Park,Burj Khalifa,and Milad Tower.Key challenges—including installation complexity,high maintenance costs,and climate sensitivity—are critically assessed alongside proposed solutions.A central innovation of this work lies in framing curtain walls not only as passive architectural elements but as dynamic interfaces that modulate energy flows,reduce HVAC loads,and enhance occupant comfort.The reviewed data indicate that optimized curtain wall configurations—especially those integrating electrochromic glazing and BIPV modules—can achieve annual energy consumption reductions ranging fromapproximately 5%to 27%,depending on climate,control strategy,and facade typology.The findings offer a valuable reference for architects,energy engineers,and decision-makers seeking to integrate high-performance facades into future-ready building designs.
文摘Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its invasive nature and associated risks have shifted clinical practice toward non-invasive modalities.^([1]) Among these methods,point-of-care ultrasound(POCUS) has gained widespread acceptance,offering real-time bedside evaluation of cardiac function.
基金The work described in this paper was fully supported by a grant from Hong Kong Metropolitan University(RIF/2021/05).
文摘Parkinson’s disease(PD)is a debilitating neurological disorder affecting over 10 million people worldwide.PD classification models using voice signals as input are common in the literature.It is believed that using deep learning algorithms further enhances performance;nevertheless,it is challenging due to the nature of small-scale and imbalanced PD datasets.This paper proposed a convolutional neural network-based deep support vector machine(CNN-DSVM)to automate the feature extraction process using CNN and extend the conventional SVM to a DSVM for better classification performance in small-scale PD datasets.A customized kernel function reduces the impact of biased classification towards the majority class(healthy candidates in our consideration).An improved generative adversarial network(IGAN)was designed to generate additional training data to enhance the model’s performance.For performance evaluation,the proposed algorithm achieves a sensitivity of 97.6%and a specificity of 97.3%.The performance comparison is evaluated from five perspectives,including comparisons with different data generation algorithms,feature extraction techniques,kernel functions,and existing works.Results reveal the effectiveness of the IGAN algorithm,which improves the sensitivity and specificity by 4.05%–4.72%and 4.96%–5.86%,respectively;and the effectiveness of the CNN-DSVM algorithm,which improves the sensitivity by 1.24%–57.4%and specificity by 1.04%–163%and reduces biased detection towards the majority class.The ablation experiments confirm the effectiveness of individual components.Two future research directions have also been suggested.
文摘Background:Low-dose rate(LDR)prostate brachytherapy is a recommended treatment of localized prostate cancer in current guidelines.The study aimed to determine biochemical relapse-free survival(BRFS)in patients treated with dynamic real-time low-dose rate(LDR)brachytherapy using Iodine 125(I^(125)).Methods:We retrospectively reviewed 499 patients with localized prostate cancer treated with I^(125) LDR realtime brachytherapy between 2003 and 2021.The mean patient age was 65 years(range:45–84 years).Based on the National Comprehensive Cancer Network(NCCN)risk classification,230 patients(46.1%)were categorized as low risk,235(47.1%)as intermediate risk,and 34(6.8%)as high risk.Gleason scores were distributed as follows:3+3 in 283 cases(56.7%),3+4 in 157 cases(31.5%),4+3 in 46 cases(9.2%),and 4+4 in 13 cases(2.6%).The mean follow-up was 70.5 months.Results:Tumor relapse was observed in 47 patients(9.4%)over a mean follow-up period of 6.26 years(SD 4.16).Local recurrence within the prostate occurred in 20 cases(4%).Patients with nadir PSA<0.2 ng/mL at 5 years of follow-up had a significantly lower incidence of tumor recurrence(3%)compared to those with a nadir PSA>0.2 ng/mL(21.9%)(p=0.0001).Biochemical relapse-free(BRFS)rates at 5,10 and 15 years were 96%,91.5% and 88.9%,respectively.When stratified by NCCCN risk groups,5-year BRFS was 96% in low risk,98% in intermediate risk and 85% in high risk patients(p=0.003).Inmultivariate analysis,only age at the time of brachytherapy(p=0.009),initial PSA(p=0.007)and Gleason grade(p=0.007)were significantly associated with tumor recurrence.Cancer-specific survival and overall survival were 99.8% and 98.0%,respectively.Conclusions:LDR with I^(125) has excellent longterm oncological outcomes for patients with low and intermediate-risk prostate cancer,in particular,patients achieving a nadir PSA<0.2 ng/mL at 5 years post-treatment.
基金supported by Shenzhen Science and Technology Program, No. JCYJ20230807110259002 (to JL)The Seventh Affiliated Hospital of Sun Yat-sen University, No. ZSQYRSFPD0050 (to JL)The Postdoctoral Fellowship Program of CPSF, No. GZC20242074 (to KT)
文摘Oxidative stress significantly contributes to secondary damage after spinal cord injury.Despite its importance,research on oxidative stress in spinal cord injury remains limited.Investigating the expression and regulation of oxidative stress-related genes could enhance the diagnosis and treatment of spinal cord injury.In this study,we analyzed the sequencing data of human blood samples and injured mouse spinal cord tissue that were sourced from GEO databases and identified diagnostic biomarkers associated with the severity of spinal cord injury.We also explored the expression patterns of oxidative stress-related genes,potential regulatory mechanisms,and therapeutic drugs.To validate our findings,we performed immunofluorescence and quantitative polymerase chain reaction to assess gene expression in the injured spinal cord.Our results revealed biomarkers associated with oxidative stress and immune responses across different levels of spinal cord injury in humans.We identified differentially expressed oxidative stress-related genes and key hub genes in injured mouse spinal cord tissue and revealed their temporal expression patterns at both the tissue and single-cell levels.We also clarified the signaling pathways associated with oxidative stress and identified ligand-receptor pairs among various cell types at different time points after injury.Furthermore,we discovered microRNAs,long non-coding RNAs,and transcription factors that regulate these hub genes and revealed their roles in modulating gene expression at various stages after spinal cord injury.We also identified drugs targeting these hub genes.The findings from this study not only aid in identifying diagnostic biomarkers that reflect the severity of spinal cord injury,but also provide insights into the expression dynamics of oxidative stress-related genes.In addition,the study reveals potential regulatory mechanisms and identifies potential drugs to treat patients with spinal cord injury.
基金supported by the National Natural Science Foundation of China(Grant Nos.52021005,52325904,and 51991391)。
文摘Geological prospecting and the identification of adverse geological features are essential in tunnel construction,providing critical information to ensure safety and guide engineering decisions.As tunnel projects extend into deeper and more mountainous terrains,engineers face increasingly complex geological conditions,including high water pressure,intense geo-stress,elevated geothermal gradients,and active fault zones.These conditions pose substantial risks such as high-pressure water inrush,largescale collapses,and tunnel boring machine(TBM)blockages.Addressing these challenges requires advanced detection technologies capable of long-distance,high-precision,and intelligent assessments of adverse geology.This paper presents a comprehensive review of recent advancements in tunnel geological ahead prospecting methods.It summarizes the fundamental principles,technical maturity,key challenges,development trends,and real-world applications of various detection techniques.Airborne and semi-airborne geophysical methods enable large-scale reconnaissance for initial surveys in complex terrain.Tunnel-and borehole-based approaches offer high-resolution detection during excavation,including seismic ahead prospecting(SAP),TBM rock-breaking source seismic methods,fulltime-domain tunnel induced polarization(TIP),borehole electrical resistivity,and ground penetrating radar(GPR).To address scenarios involving multiple,coexisting adverse geologies,intelligent inversion and geological identification methods have been developed based on multi-source data fusion and artificial intelligence(AI)techniques.Overall,these advances significantly improve detection range,resolution,and geological characterization capabilities.The methods demonstrate strong adaptability to complex environments and provide reliable subsurface information,supporting safer and more efficient tunnel construction.
基金supported by the SECIHTI project PDCPN-2015-266,México.
文摘Acalypha gaumeri(Euphorbiaceae)is the only endemic species of the genus in the Yucatan Peninsula.It is dioecious and has antifungal properties against various phytopathogens.In the present study,molecular identification of A.gaumeri was performed using the rbcL region,confirming its belonging to the Acalypha genus.Its genetic diversity was evaluated using 10 SPAR markers(ISSR and DAMD)from 60 individuals collected from female and male plants of the Kiuic,Tinum and Yaxcaba ex-situ populations.The results showed a high level of genetic polymorphism(PIC=0.980)and significant differences among the populations.Ethanol and aqueous extracts from leaves,stems,and roots of both genders and three populations were evaluated against three phytopathogenic fungi.Only the ethanol extracts of the roots showed inhibitory antifungal activity,whereas Kiuic and Tinum,both male and female individuals,showed inhibitory effects at 1000μg/mL against the three pathogens.The ethanol extract of the female flowering plant of Kiuic showed activity at minimum inhibitory concentrations of 250μg/mL against Alternaria chrysanthemi CICY004 and 500μg/mL against Colletotrichum gloeosporioides CICY002 and Penicillium oxalicum ITC25.Chromatographic profile of the ethanol extracts confirmed the presence of alkaloidal components in the ex-situ cultivated plants,which were analyzed by HPLC.The results revealed that the peaks at T_(R) of 7.60,7.88,and 8.49 min were the most abundant components(9.95%-21.93%),with differences between female and male plants of the three populations.This research confirms that A.gaumeri cultivated and genetically characterized is a potential raw material to develop an eco-friendly product for the control of fungal diseases in crops.
文摘In recent years bird hunting has become a topical issue in public debate in Poland.Some organizations and communities actively engaged in nature conservation efforts propose a complete ban on hunting,arguing it needs to be introduced for ethical reasons and to ensure a more effective species protection.This discussion frequently involves cases when hunters break the law,illustrated by photographs published on social media,documenting culling of legally protected species.In response hunters mention the need to verify the sources and the context for published materials.
基金funded by the National Institutes of Health,grant numbers UG3OD023285,P42ES030991,and P30ES036084.
文摘Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs:the integrated stress response(ISR)and the senescence-associated secretory phenotype(SASP).These pathways act as a Yin-Yang system,balancing beneficial and detrimental outcomes across development,tissue homeostasis,and disease.On the yin(protective)side,transient ISR activation and acute SASP signaling foster adaptation,embryonic patterning,wound healing,and regeneration.On the yang(maladaptive)side,chronic ISR signaling and unresolved SASP output drive stem cell exhaustion,fibrosis,inflammation,and tumorigenesis.This duality highlights their roles as both guardians and disruptors of stem cell integrity.Mechanistically,ISR regulates translational control via eukaryotic initiation factor 2 alpha(eIF2α)phosphorylation and activating transcription factor 4(ATF4)-dependent transcription,while SASP reprograms the extracellular milieu through cytokines,growth factors,and proteases.Their crosstalk creates feedback loops that shape tissue niches and long-termstemcell potential.Framing ISR-SASP interactions through a Yin-Yang lens underscores the balance between resilience and decline,to offer new insights into regenerative medicine,anti-aging interventions,and cancer therapeutics.
基金supported by the Scientific and Technological Innovation Project of the China Academy of Chinese Medical Sciences(CI2021A04013)the National Natural Science Foundation of China(82204610)+1 种基金the Qihang Talent Program(L2022046)the Fundamental Research Funds for the Central Public Welfare Research Institutes(ZZ15-YQ-041 and L2021029).
文摘Background:The medicinal material known as Os Draconis(Longgu)originates from fossilized remains of ancient mammals and is widely used in treating emotional and mental conditions.However,fossil resources are nonrenewable,and clinical demand is increasingly difficult to meet,leading to a proliferation of counterfeit products.During prolonged geological burial,static pressure from the surrounding strata severely compromises the microstructural integrity of osteons in Os Draconis,but Os Draconis still largely retains the structural features of mammalian bone.Methods:Using verified authentic Os Draconis samples over 10,000 years old as a baseline,this study summarizes the ultrastructural characteristics of genuine Os Draconis.Employing electron probe microanalysis and optical polarized light microscopy,we examined 28 batches of authentic Os Draconis and 31 batches of counterfeits to identify their ultrastructural differences.Key points for ultrastructural identification of Os Draconis were compiled,and a new identification approach was proposed based on these differences.Results:Authentic Os Draconis exhibited distinct ultrastructural markers:irregularly shaped osteons with traversing fissures,deformed/displaced Haversian canals,and secondary mineral infill(predominantly calcium carbonate).Counterfeits showed regular osteon arrangements,absent traversal fissures,and homogeneous hydroxyapatite composition.Lab-simulated samples lacked structural degradation features.EPMA confirmed calcium carbonate infill in fossilized Haversian canals,while elemental profiles differentiated lacunae types(void vs.mineral-packed).Conclusion:The study established ultrastructural criteria for authentic Os Draconis identification:osteon deformation,geological fissures penetrating bone units,and heterogenous mineral deposition.These features,unattainable in counterfeits or modern processed bones,provide a cost-effective,accurate identification method.This approach bridges gaps in TCM material standardization and supports quality control for clinical applications.
文摘Purpose:ATLAS is a cross-sectional study aiming to investigate environmental and genetic determinants of athletic performance in healthy Greek competitive athletes(CA).This article presents the study design,investigates the muscle strength performance(MSP)of 289 adult and teenage CA,exercisers,and physically inactive individuals(PI),and proposes predictive models of MSP for adults.Methods:Muscle maximal,speed,and explosive strength(MMS/MSS/MES)at unilateral maximal concentric flexion and extension contraction(FC/EC)were evaluated using Biodex System 3 PRO^(TM)at 60°/s,180°/s,and 300°/s,while additional performance markers were assessed through field ergometric testing.Participants were interviewed about their lifestyle,dietary habits,physical activity,injury,and medical history.Body composition was assessed via bioelectrical impedance.gDNA was extracted from biochemical samples and then genotyped.Statistical analysis was conducted using IBM SPSS Statistics v21.0 and R.Results:Age,fitness,and sex impacted correlations of MSP with body composition and anthropometric measurements(p<0.05).Among CA,females outperformed males in accuracy(p<0.001)while,males outperformed females in anaerobic power,MSP,speed,and endurance(p<0.001).Adult CA outperformed exercisers and PI in MMS,MSS,and MES(p<0.05).Multiple linear regression models,with predictors age,FFM,body extremity,training load explained the majority of variation in MMS(R^(2)_(adj):71.4%–88.9%),MSS(R^(2)_(adj):64.8%–78.4%),and MES(R^(2)_(adj):52.7%–68.4%)at EC,FC,and their mean(p<0.001).Conclusions:Muscle-strengthening strategies should be customized according to individual fitness levels,body composition,and anthropometric measurements.The innovative sex-specific regression models assessing MMS,MSS,and MES at EC and FC provide a framework for personalizing rehabilitation and skill-specific training strategies.
基金funded by Grants PID2021-127191OB-I00,RTI2018-101708-A-I00,PRE2018-084542 and PRE2022-102680 funded by MCIN/AEI/10.13039/501100011033 and by“ERDF A way of making Europe”Grant RYC2018-025502-I is funded by MCIN/AEI/10.13039/501100011033 and by“ESF Investing in your future”+1 种基金Grant MDM-20170720 Maria de Maeztu Units of Excellence Program funded by the Spanish State Research Agencysupported by Instituto de Salud CarlosⅢ,Infrastructure of Precision Medicine associated with Science and Technology(IMPaCT)of the Strategic Action in Health(iDATA-MP)。
文摘Endochondral ossification is a physiological process involving a sequential formation of cartilage and bone tissues.Classically,cartilage and bone formation have been considered independent processes at cellular level.However,the recently described multiple cell differentiation dynamics suggest that some bone cells are indeed the progeny of cartilage cells,or chondrocyte-derived osteoblasts.We hypothesized that the cartilage-to-bone phenotype transition is triggered by specific molecular events.First,the process was assessed in mouse bone tissue,and then,it was mimicked using in vivo cell implantation and in vitro serial differentiation protocols.Data indicates that cartilage cells transition to bone cell phenotype during postnatal physiological bone formation.This process can be reproduced using cartilage precursor cells coupled to specific implantation procedures or differentiation protocols.Gene expression profiling reveals that NOTCH,BMP and MAPK signaling pathways are relevant at the phenotype-switch,while the transcription factors Mesp1,Alx1,Grhl3 and Hmx3 are the feasible driver genes for chondrocyte-derived osteoblasts formation.Altogether,this report shows that endochondral ossification can be modeled using primary cell cultures and data indicate that this process is regulated by specific molecular events,previously described at skeleton morphogenesis during embryo development,and from now on also linkable to postnatal bone development and regeneration processes.
基金supported by the National Natural Science Foundation of China,No.31760290,82160688the Key Development Areas Project of Ganzhou Science and Technology,No.2022B-SF9554(all to XL)。
文摘Synaptic pruning is a crucial process in synaptic refinement,eliminating unstable synaptic connections in neural circuits.This process is triggered and regulated primarily by spontaneous neural activity and experience-dependent mechanisms.The pruning process involves multiple molecular signals and a series of regulatory activities governing the“eat me”and“don't eat me”states.Under physiological conditions,the interaction between glial cells and neurons results in the clearance of unnecessary synapses,maintaining normal neural circuit functionality via synaptic pruning.Alterations in genetic and environmental factors can lead to imbalanced synaptic pruning,thus promoting the occurrence and development of autism spectrum disorder,schizophrenia,Alzheimer's disease,and other neurological disorders.In this review,we investigated the molecular mechanisms responsible for synaptic pruning during neural development.We focus on how synaptic pruning can regulate neural circuits and its association with neurological disorders.Furthermore,we discuss the application of emerging optical and imaging technologies to observe synaptic structure and function,as well as their potential for clinical translation.Our aim was to enhance our understanding of synaptic pruning during neural development,including the molecular basis underlying the regulation of synaptic function and the dynamic changes in synaptic density,and to investigate the potential role of these mechanisms in the pathophysiology of neurological diseases,thus providing a theoretical foundation for the treatment of neurological disorders.
基金funded by the National Natural Science Foundation of China(No.32201304)the Fundamental Research Funds for the Central Universities(2412022QD026)。
文摘Human-modified landscapes serve as ecological filters,determining species distributions and persistence.Energy-efficient technologies,while crucial for climate change mitigation,represent novel filters whose impacts on synanthropic biodiversity are poorly understood.We investigated how attached sunspaces,a widely adopted energy-saving technology in rural China,filter the distribution of two ecologically important aerial insectivores,the Barn Swallow(Hirundo rustica)and Red-rumped Swallow(Cecropis daurica).We surveyed 106 villages during the 2024 and 2025 breeding seasons and recorded a total of 2323 nests(612 Barn Swallow,1711 Red-rumped Swallow).Using Generalized Linear Models,we assessed their responses to building characteristics,landscape composition and the prevalence of sunspaces.Barn Swallow nests preferred perches at the base and single attachment faces,while Red-rumped Swallow nests favored multiple attachment faces and avoided long shelters.The proportion of buildings with sunspaces acted as a strong positive filter for Barn Swallow nest abundance(+24%)but as a significant negative filter for Red-rumped Swallow(-51%).Other landscape variables(e.g.,human population density,NDVI,Human Footprint Index)were not significant.This study demonstrates that specific architectural innovations can act as powerful ecological filters,leading to divergent distributional outcomes for sympatric species reliant on anthropogenic structures.Our findings reveal a critical trade-off in sustainable development:energy efficiency gains may inadvertently reduce habitat suitability for certain species.To reconcile climate and biodiversity goals in rural landscapes,we advocate integrating species-specific habitat requirements into building design.We propose actionable modifications to sunspaces to support swallows without compromising energy savings.These principles provide a template for mitigating the distributional impacts of green infrastructure globally.
基金supported by Science,Technology&Innovation Project of Xiongan New Area(2023XAGG0069)National Key Research and Development Program of China(2022YFC2703100)+2 种基金National High Level Hospital Clinical Research Funding(2022-PUMCH-D-002)the National Natural Science Foundation of China(824B2011 to Z.W.)National High Level Hospital Clinical Research Funding(2023-PUMCH-E-012).
文摘Hereditary cardiomyopathies and arrhythmias are major contributors to cardiovascular morbidity and mortality.The advent of next-generation sequencing(NGS)has made genetic testing more accessible,which is crucial for precise diagnosis and targeted therapeutic strategies.The aim of this study is to explore the landscape of genetic variants,the relationship between specific variants and clinical phenotypes,and the impact on clinical decision-making in China.A total of 1536 probands(median age,37 years;1025 males[66.7%])with suspected hereditary cardiomyopathy or arrhythmia(covering 15 clinical phenotypes)are recruited from 146 hospitals across 30 provinces and cities in China.Positive results are confirmed in 390 of 1536 probands,leading to a diagnostic yield of 25.4%.Forty-two and three-tenths percent(n=169)of family members carry the same variants as positive probands.Hypertrophic cardiomyopathy(HCM)and dilated cardiomyopathy(DCM)are the predominant phenotypes,with MYBPC3 variants having the highest frequency in HCM and TTN variants in DCM.In 76.9%of the positive probands,the identified variants are helpful in clinical management,family screening,and fertility.This large-scale study provides significant insights into the genetic landscape of hereditary cardiomyopathies and arrhythmias in China.
文摘Global challenges,including resource inefficiency,rising food demand,sustainability concerns,and climate change,necessitate more efficient and resilient agricultural systems.Conservation agriculture(CA),which is based on the principles of the minimum mechanical soil disturbance,permanent soil organic cover,and species diversification,provides a promising solution.This study examined the principles and mechanisms of CA,assessed its benefits and constraints,and identified key research gaps.This study focused on CA outcomes related to soil health,biodiversity,productivity,and ecosystem services,considering factors such as climate,soil type,and management practices.CA has demonstrated the potential to improve soil health,enhance biodiversity,and boost productivity across diverse regions.However,its effectiveness has been found to vary across studies,emphasizing the need for a more critical understanding of its benefits and limitations.Moreover,variations in outcomes are evident due to differences in experimental methodologies,environmental conditions,and socioeconomic factors.For the widespread adoption of CA practices,it is necessary to make personalized adjustments to it,integrating the corresponding technologies,thereby meeting the needs of farmers.Interdisciplinary research is crucial to refining CA practices and addressing existing knowledge gaps.This study is practiced to enhance the understanding of the potential of CA to promote a sustainable global food production system.
基金financially supported by the National Key Research and Development Program of China (No. 2023YFB3812601)the National Natural Science Foundation of China (No. 51925401)the Young Elite Scientists Sponsorship Program by CAST, China (No. 2022QNRC001)。
文摘Machine learning-assisted methods for rapid and accurate prediction of temperature field,mushy zone,and grain size were proposed for the heating−cooling combined mold(HCCM)horizontal continuous casting of C70250 alloy plates.First,finite element simulations of casting processes were carried out with various parameters to build a dataset.Subsequently,different machine learning algorithms were employed to achieve high precision in predicting temperature fields,mushy zone locations,mushy zone inclination angle,and billet grain size.Finally,the process parameters were quickly optimized using a strategy consisting of random generation,prediction,and screening,allowing the mushy zone to be controlled to the desired target.The optimized parameters are 1234℃for heating mold temperature,47 mm/min for casting speed,and 10 L/min for cooling water flow rate.The optimized mushy zone is located in the middle of the second heat insulation section and has an inclination angle of roughly 7°.
文摘Large language models(LLMs)have emerged as transformative tools in radiology artificial intelligence(AI),offering significant capabilities in areas such as image report generation,clinical decision support,and workflow optimization.The first part of this manuscript presents a comprehensive overview of the current state of LLM applications in radiology,including their historical evolution,technical foundations,and practical uses.Despite notable advances,inherent architectural constraints,such as token-level sequential processing,limit their ability to perform deep abstract reasoning and holistic contextual understanding,which are critical for fine-grained diagnostic interpretation.We provide a critical perspective on current LLMs and discuss key challenges,including model reliability,bias,and explainability,highlighting the pressing need for novel approaches to advance radiology AI.Large concept models(LCMs)represent a nascent and promising paradigm in radiology AI,designed to transcend the limitations of token-level processing by utilizing higher-order conceptual representations and multimodal data integration.The second part of this manuscript introduces the foundational principles and theoretical framework of LCMs,highlighting their potential to facilitate enhanced semantic reasoning,long-range context synthesis,and improved clinical decision-making.Critically,the core of this section is the proposal of a novel theoretical framework for LCMs,formalized and extended from our group’s foundational concept-based models-the world’s earliest articulation of this paradigm for medical AI.This conceptual shift has since been externally validated and propelled by the recent publication of the LCM architectural proposal by Meta AI,providing a large-scale engineering blueprint for the future development of this technology.We also outline future research directions and the transformative implications of this emerging AI paradigm for radiologic practice,aiming to provide a blueprint for advancing toward human-like conceptual understanding in AI.While challenges persist,we are at the very beginning of a new era,and it is not unreasonable to hope that future advancements will overcome these hurdles,pushing the boundaries of AI in Radiology,far beyond even the most state-of-the-art models of today.
文摘Pancreatic vipoma is an extremely rare tumor accounting for less than 2% of endocrine pancreatic neoplasms with a reported incidence of 0.1-0.6 per million. While cross-sectional imaging findings are usually not specific, exact localization of the tumor by means of either computed tomography(CT) or magnetic resonance(MR) is pivotal for surgical planning. However, cross-sectional imaging findings are usually not specific and further characterization of the tumor may only be achieved bysomatostatin-receptor scintigraphy(SRS). We report the case of a 70 years old female with a two years history of watery diarrhoea who was found to have a solid, inhomogeneously enhancing lesion at the level of the pancreatic tail at Gadolinium-enhanced MR(Somatom Trio 3T, Siemens, Germany). The tumor had been prospectively overlooked at a contrast-enhanced multi-detector CT(Aquilion 64, Toshiba, Japan) performed after i.v. bolus injection of only 100 cc of iodinated non ionic contrast media because of a chronic renal failure(3.4 mg/mL) but it was subsequently confirmed by SRS. The patient first underwent a successful symptomatic treatment with somatostatin analogues and was then submitted to a distal pancreasectomy with splenectomy to remove a capsulated whitish tumor which turned out to be a well-differentiated vipoma at histological and immuno-histochemical analysis.
文摘The Routing Protocol for Low-power and Lossy Networks(RPL)is widely used in Internet of Things(IoT)systems,where devices usually have very limited resources.However,RPL still faces several problems,such as high energy usage,unstable links,and inefficient routing decisions,which reduce the overall network performance and lifetime.In this work,we introduce TABURPL,an improved routing method that applies Tabu Search(TS)to optimize the parent selection process.The method uses a combined cost function that considers Residual Energy,Transmission Energy,Distance to the Sink,Hop Count,Expected Transmission Count(ETX),and Link Stability Rate(LSR).Simulation results show that TABURPL improves link stability,lowers energy consumption,and increases the packet delivery ratio compared with standard RPL and other existing approaches.These results indicate that Tabu Search can handle the complex trade-offs in IoT routing and can provide a more reliable solution for extending the network lifetime.
