Lysosomal storage disorders and their impact upon the central nervous system:Lysosomal storage disorders(LSDs)are a group of over 70 rare inherited metabolic disorders(Platt et al.,2018).They are caused by dysfunction...Lysosomal storage disorders and their impact upon the central nervous system:Lysosomal storage disorders(LSDs)are a group of over 70 rare inherited metabolic disorders(Platt et al.,2018).They are caused by dysfunction of lysosomes,organelles that contain enzymes responsible for digesting macromolecules.In functional lysosomes,these enzymes break down complex substrates,and the resulting fragments are recycled.Individual LSDs are caused by mutations in genes that encode lysosomal enzymes or other proteins crucial for lysosome function(Platt et al.,2018).展开更多
Experiments with interacting high-velocity flows in a laser plasma can help answer fundamental questions in plasma physics and improve understanding of the mechanisms behind some astrophysical phenomena,such as the fo...Experiments with interacting high-velocity flows in a laser plasma can help answer fundamental questions in plasma physics and improve understanding of the mechanisms behind some astrophysical phenomena,such as the formation of collisionless shock waves,deceleration of accretion flows,and evolution of solar and stellar flares.This work presents the first direct experimental observations of stagnation and redirection of counterstreaming flows(jets)of laser plasma induced by intense laser pulses with intensity I~2×10^(18) W/cm^(2).Hybrid particlein-cell-fluid modeling,which takes into account the kinetic effects of ion motion and the evolution of the pressure tensor for electrons,demonstrates the compression of counterdirected toroidal self-generated magnetic fields embedded in counterstreaming plasma flows.The enhancement of the toroidal magnetic field in the interaction region results in plasma flow stagnation and redirection of the jets across the line of their initial propagation.展开更多
Traditional mining in open pit mines often uses explosives,leading to environmental hazards,with flyrock being a critical issue.In detail,excess flying rock beyond the designated explosion area was identified as the p...Traditional mining in open pit mines often uses explosives,leading to environmental hazards,with flyrock being a critical issue.In detail,excess flying rock beyond the designated explosion area was identified as the primary cause of fatal and non-fatal blasting hazards in open pit mining.Therefore,the accurate and reliable prediction of flyrock becomes crucial for effectively managing and mitigating associated problems.This study used the Light Gradient Boosting Machine(LightGBM)model to predict flyrock in a lead-zinc mine,with promising results.To improve its accuracy,multi-verse optimizer(MVO)and ant lion optimizer(ALO)metaheuristic algorithms were introduced.Results showed MVO-LightGBM outperformed conventional LightGBM.Additionally,decision tree(DT),support vector machine(SVM),and classification and regression tree(CART)models were trained and compared with MVO-LightGBM.The MVO-LightGBM model excelled over DT,SVM,and CART.This study highlights MVO-LightGBM's effectiveness and potential for broader applications.Furthermore,a multiple parametric sensitivity analysis(MPSA)algorithm was employed to specify the sensitivity of parameters.MPSA results indicated that the highest and lowest sensitivities are relevant to blasted rock per hole and spacing with theγ=1752.12 andγ=49.52,respectively.展开更多
1.Introduction Artificial intelligence(AI)is rapidly reshaping geoscience,from Earth observation interpretation and hazard forecasting to subsurface characterisation and Earth system modelling(Kochupillai et al.,2022;...1.Introduction Artificial intelligence(AI)is rapidly reshaping geoscience,from Earth observation interpretation and hazard forecasting to subsurface characterisation and Earth system modelling(Kochupillai et al.,2022;Sun et al.,2024).These capabilities emerge at a time when geoscientific evidence is increasingly informing high-stakes decisions about climate adaptation,resource development,and disaster risk reduction(McGovern et al.,2022).展开更多
BACKGROUND Living donor kidney transplantation is the optimal method of long-term renal replacement therapy.Minimally invasive donor nephrectomy techniques,such as robot-assisted(RALDN)and hand-assisted(HALDN)laparosc...BACKGROUND Living donor kidney transplantation is the optimal method of long-term renal replacement therapy.Minimally invasive donor nephrectomy techniques,such as robot-assisted(RALDN)and hand-assisted(HALDN)laparoscopic procedures,are well-established in high-income countries and are being increasingly adopted worldwide.Nevertheless,no studies have reported surgical outcomes of RALDN donor nephrectomy from a United Kingdom center to date.AIM To compare surgical outcomes between RALDN and HALDN laparoscopic donor nephrectomy in a United Kingdom high-volume living kidney donor transplant program.METHODS A case-control matching analysis was performed based on the following parameters:Sex,age,body mass index,procedure laterality,number of renal arteries,and previous abdominal surgeries.Key surgical outcomes,including primary warm ischemia time,operative duration,and post-operative recovery,were evaluated.RESULTS In this cohort of 140 living donors(70 RALDN vs 70 HALDN),donor and recipient outcomes were equivalent across key metrics:Pain scores,overall complication rates,readmissions,reoperations,and creatinine levels at 30 days and 1 year.Recipient long-term renal function did not differ between groups.Operative time for RALDN decreased significantly over the study period,indicating progressive improvement along the learning curve.Although RALDN was associated with a modestly longer mean warm ischaemia time(3.53 minutes vs 2.76 minutes,P<0.001)and extended hospital stay(4.21 days vs 3.17 days,P<0.001),these did not translate into any disadvantage in clinical outcomes.CONCLUSION In this first United Kingdom comparative cohort,RALDN demonstrated excellent safety and efficacy,even in the early phase of our programme,matching the outcomes of the well-established,gold-standard HALDN approach.Moreover,the pronounced learning-curve trajectory suggests considerable potential for further improvements in robotic surgical outcomes as the programme matures.展开更多
Background:Prostate cancer is a common malignancy,with many men on active surveillance for localized,low-risk disease also experiencing lower urinary tract symptoms(LUTS)from benign prostatic hyperplasia(BPH).Water Va...Background:Prostate cancer is a common malignancy,with many men on active surveillance for localized,low-risk disease also experiencing lower urinary tract symptoms(LUTS)from benign prostatic hyperplasia(BPH).Water Vapor Thermal Therapy(WVTT)is a minimally invasive BPH treatment,but its safety and efficacy in this setting are unclear.Case Description:We report three men with localized PCa on active surveillance who underwent WVTT for LUTS.Conclusions:WVTT appears safe and potentially effective in treating LUTS,especially in those with lower-risk disease and smaller prostate volumes.Further research is needed to confirm safety,efficacy,and optimal patient selection.展开更多
Long-duration vehicles in near space have achieved great success;however,the non-destructive testing(NDT)methods for the envelope materials of such long-duration vehicles remain blank.In this paper,we propose the air-...Long-duration vehicles in near space have achieved great success;however,the non-destructive testing(NDT)methods for the envelope materials of such long-duration vehicles remain blank.In this paper,we propose the air-coupled ultrasonic NDT method theoretically.In the theoretical analysis process,the envelope material is simplified as an orthogonal sandwich structure.To calculate the displacement and stress fields of each medium,the state vectors are established and the transfer matrices of the material from the upper interface to the lower interface are obtained by using boundary conditions.Then,linear equations about the amplitude of reflected and transmitted waves are derived by combining the coupling boundary conditions of air and solid.The effects of incident angles,inflation of the envelope material,and debonding of the interfaces on the transmission coefficients are considered.The results show that the air-coupled ultrasonic NDT of the envelope material can be carried out in the pre-inflated state.Finally,a method for identifying interface debonding is proposed based on judging transmission coefficients within a certain frequency range.展开更多
The optimized Grok algorithm can significantly improve the accuracy of time series analysis and understanding the dynamics of climate change.Fine-tuned Grok architecture can be used to monitor and analyze climate proc...The optimized Grok algorithm can significantly improve the accuracy of time series analysis and understanding the dynamics of climate change.Fine-tuned Grok architecture can be used to monitor and analyze climate processes.The main aim is to analyze the Fine-tuned Grok architecture for research on climate change,world ecology,carbon dioxide growth,and carbon funds.The global challenges of climate change and ecological degradation demand innovative analytical approaches capable of processing vast,multivariate,and non-linear datasets.Concurrently,the global financial system,deeply intertwined with energy transitions and sustainable development,requires sophisticated tools for risk assessment and investment strategy in a changing world.Fine-tuned Grok architecture model helps to plan strategies for adaptation to climate change by calculating the optimal allocation of resources,taking into account risks and reducing losses.Due to its ability to respond quickly to new conditions,the system will be able to quickly adjust evacuation plans,deploy protective structures,and distribute assistance to affected regions.The use of artificial intelligence significantly expands the capabilities of the scientific community and authorities in monitoring,assessing,and managing climate change.The optimized Fine-tuned Grok architecture opens the way to a new level of informed decision-making about climate change and ensuring the safety of our future generations.展开更多
We present a new two-dimensional(2D)map of total Galactic extinction,Av,across the entire dust half-layer from the Sun to extragalactic space for Galactic latitudes|b|>13°,as well as a three-dimensional(3D)map...We present a new two-dimensional(2D)map of total Galactic extinction,Av,across the entire dust half-layer from the Sun to extragalactic space for Galactic latitudes|b|>13°,as well as a three-dimensional(3D)map of Av within 2 kpc of the Sun.These maps are based on A_(V)and distance estimates derived from a data set,which utilizes Gaia Data Release 3 parallaxes and multi-band photometry for nearly 100 million dwarf stars.We apply our own corrections to account for significant systematics in this data set.Our 2D map achieves an angular resolution of6'.1,while the 3D map offers a transverse resolution of 3.56 pc—corresponding to variable angular resolution depending on distance—and a radial resolution of 50 pc.In constructing these maps,we pay particular attention to the solar neighborhood(within 200 pc)and to high Galactic latitudes.The 3D map predicts Av from the Sun to any extended object within the Galactic dust layer with an accuracy ofσ(A_(V))=0.1 mag.The 2D map provides Av estimates for the entire dust half-layer up to extragalactic distances with an accuracy ofσ(A_(V))=0.07 mag.We provide A_(V)estimates from our maps for various classes of extended celestial objects with angular size primarily in the range of 2′-40′,including 19,809 galaxies and quasars,170 Galactic globular clusters,458 open clusters,and several hundred molecular clouds from two lists.We also present extinction values for 8293 TypeⅠa supernovae.Comparison of our extinction estimates with those from previous maps and literature sources reveals systematic differences,indicating large-scale spatial variations in the extinction law and suggesting that earlier 2D reddening maps based on infrared dust emission tend to underestimate low extinction values.展开更多
Optimization is the key to obtaining efficient utilization of resources in structural design.Due to the complex nature of truss systems,this study presents a method based on metaheuristic modelling that minimises stru...Optimization is the key to obtaining efficient utilization of resources in structural design.Due to the complex nature of truss systems,this study presents a method based on metaheuristic modelling that minimises structural weight under stress and frequency constraints.Two new algorithms,the Red Kite Optimization Algorithm(ROA)and Secretary Bird Optimization Algorithm(SBOA),are utilized on five benchmark trusses with 10,18,37,72,and 200-bar trusses.Both algorithms are evaluated against benchmarks in the literature.The results indicate that SBOA always reaches a lighter optimal.Designs with reducing structural weight ranging from 0.02%to 0.15%compared to ROA,and up to 6%–8%as compared to conventional algorithms.In addition,SBOA can achieve 15%–20%faster convergence speed and 10%–18%reduction in computational time with a smaller standard deviation over independent runs,which demonstrates its robustness and reliability.It is indicated that the adaptive exploration mechanism of SBOA,especially its Levy flight–based search strategy,can obviously improve optimization performance for low-and high-dimensional trusses.The research has implications in the context of promoting bio-inspired optimization techniques by demonstrating the viability of SBOA,a reliable model for large-scale structural design that provides significant enhancements in performance and convergence behavior.展开更多
Calcium (Ca^(2+)) is a key intracellular messenger involved in a variety of cellular functions.Intracellular Ca^(2+)dysregulation drives neuron cell death in multiple degenerative diseases and traumatic conditions.Ret...Calcium (Ca^(2+)) is a key intracellular messenger involved in a variety of cellular functions.Intracellular Ca^(2+)dysregulation drives neuron cell death in multiple degenerative diseases and traumatic conditions.Retinal ganglion cell(RGC) degeneration occurs in blinding diseases such as glaucoma and other optic neuropathies.展开更多
Flexible materials with perovskite quantum dots(PQDs)are widely used in the field of photonics and opto-electronics due to their unique properties.Development of new materials based on these nanoparticles,incorporated...Flexible materials with perovskite quantum dots(PQDs)are widely used in the field of photonics and opto-electronics due to their unique properties.Development of new materials based on these nanoparticles,incorporated into flexible and lightweight nonwoven fabrics,demonstrated high photoconductivity and efficient light energy conversion.In this work,we propose a method for creating a stable luminescent nonwoven material using electrospinning,in which inorganic salt precursors are used without the need for additional stabilizers.Equimolar solutions of cesium and lead(Ⅱ)bromide were mixed with a fluoroplast,resulting in a series of samples.Luminescent materials were obtained containing PQDs with a composition of CsPbBr_(3),with emission peaks ranging from 507 to 517 nm under 365-nm excitation.We have experimentally established and theoretically confirmed that the peak position is related to the size of the particles formed in the fiber during electrospinning and depends on processing time.Developed materials exhibited stable luminescent properties for up to 2.5 years,making them a promising candidate for the development of new flexible optoelectronic devices based on PQDs.展开更多
Alzheimer’s disease(AD)remains an incurable neurodegenerative disorder with devastating societal and personal impacts.Despite decades of intensive research,therapeutic efforts targeting the clinical stages of AD have...Alzheimer’s disease(AD)remains an incurable neurodegenerative disorder with devastating societal and personal impacts.Despite decades of intensive research,therapeutic efforts targeting the clinical stages of AD have largely failed to halt or reverse disease progression.This has prompted a critical shift in focus toward the earlier,preclinical stages of AD,where interventions may hold greater promise for altering the disease trajectory.展开更多
Photovoltaic(PV)systems in the field operate under complex,uncertain conditions rapid irradiance ramps,partial shading,temperature swings,surface soiling,and weak-grid disturbances including off-nominal frequency and ...Photovoltaic(PV)systems in the field operate under complex,uncertain conditions rapid irradiance ramps,partial shading,temperature swings,surface soiling,and weak-grid disturbances including off-nominal frequency and voltage distortion that degrade energy yield and power quality.We propose a drift-aware,power-quality-constrained MPPT framework that co-optimizes MPPT,PLL,and current-loop gains under stochastic frequency drift,while enforcing IEEE-519 limits(per-order Ih/IL and TDD)during optimization.Unlike energy-only or THD-only methods,the design target integrates PQ constraints into the objective and is validated across calibrated drift scenarios with explicit per-order and TDD reporting.Operating scenarios are calibrated to Cameroon’s Southern Interconnected Grid and city-specific profiles(Douala/Yaoundé),combining measured-style irradiance/temperature traces,partial-shading patterns,and stochastic frequency drift up to±0.8 Hz with synthetic contingencies.Across a 30-scenario campaign,the proposed controller achievesηMPPT=99.3%–99.6%(vs.98.6%Incremental Conductance and 97.8%Perturb-and-Observe),lowers DC-link ripple by 35%–48%,reduces oscillatory PCC power by≈41%,maintains THD≤2.5%(5%limit)and PF≥0.99,and shortens irradiance-step settling from 85–110 ms to 50–65 ms.Sensitivity to PLL bandwidth shows a broad optimum(≈60–90 Hz)with minimum THD/ripple,and ablations confirm that explicit drift weighting is pivotal to ripple and THD suppression without sacrificing yield.The approach is controller-agnostic,firmware-deployable,and generalizes to other converter-interfaced renewables;we outline a short hardware-/HIL-validation path for adoption in Sub-Saharan grids.展开更多
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
The last research focuses on the role of exosomes in cancer treatment.Exosomes are extracellular vesicles.They can be secreted by cancer cells,and they can modulate chemotherapy sensitivity.Determining exosomal conten...The last research focuses on the role of exosomes in cancer treatment.Exosomes are extracellular vesicles.They can be secreted by cancer cells,and they can modulate chemotherapy sensitivity.Determining exosomal content opens the possibility for guiding treatment strategies for cancer diseases.Exosomal microRNA are considered one of the prime candidates for exosomal biomarkers.Exosomal circular RNAs represent excellent biomarkers for liquid biopsy because of their stability in many types of cancer.Exosomal proteins remain reliable biomarkers also.Exosomes have emerged as promising therapeutic candidates.Their biological properties render them ideal vectors for drug delivery.Genetic modification of exosomes is an effective way to deliver material capable of modulating cellular pathways involved in drug resistance.Furthermore,exosomes have been explored as carriers for metal-chelating agents.Integrating exosome-based therapies with traditional anticancer agents aims to exploit the natural targeting abilities of exosomes to enhance drug delivery.Despite the dynamic development of this field,many mechanisms of exosome action remain incompletely understood.Therefore,it is necessary to conduct further studies that will allow for a better understanding of their role in the process of resistance and will enable the development of effective therapeutic strategies.展开更多
A lupuslike condition induced by intraperitoneal administration of pristane(2,6,10,14 tetramethylpentadecane)in mice is widely used as a model of systemic lupus erythematosus(SLE).Due to their phylogenetic distance fr...A lupuslike condition induced by intraperitoneal administration of pristane(2,6,10,14 tetramethylpentadecane)in mice is widely used as a model of systemic lupus erythematosus(SLE).Due to their phylogenetic distance from humans,murine models are not always suitable tool for studying the specific activity of therapeutic agents and the pathogenesis of SLE.In order to overcome speciesspecific limitations of murine models,this approach was tested in nonhuman primates-cynomolgus monkeys(Macaca fascicularis).Two intraperitoneal injections at a dose of 3.5 mL/kg,administered at weeks 1 and 23,recapitulated SLE features,including:production of antinuclear autoantibodies(ANA),membranoproliferative glomerulonephritis with immune complex(IC)deposition in the glomeruli.However,from week 27 five of eight pristanetreated monkeys developed progressive respiratory failure.Two of these died at week 28 and the remaining were euthanized at week 32.The histology of the monkey lungs suggested exogenous lipoid pneumonia.Thus,while pristane induced serological autoimmunity and characteristic renal manifestations in Macaca fascicularis,the consequent lipoid pneumonia limited the observation period and prevented comprehensive evaluation of SLE manifestations beyond 32 weeks.展开更多
Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs.However,missing values pose a critical challenge in remote sensing applications,as ...Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs.However,missing values pose a critical challenge in remote sensing applications,as ignoring or mishandling such data gaps can introduce systematic bias into the estimation of target variables for natural resource monitoring.This can lead to cascading errors that propagate through forest and ecosystem management decisions,ultimately hindering progress toward sustainable forest management,biodiversity conservation,and climate change mitigation strategies.This study aims to propose and demonstrate a procedure that employs hybrid estimators to address the limitations of missing remotely sensed data in forest inventory,using Landsat 7 ETM+SLC-off data as an archived source for forest resource monitoring as a case in point.We compared forest inventory estimates from the hybrid estimator with those from a conventional model-based(CMB)estimator using Sentinel-2 data without missing values.Monte Carlo simulations revealed three key findings:(1)The hybrid estimator,leveraging missing-data remote sensing represented by Landsat 7 ETM+SLCoff data,achieved a sampling precision of over 90%,meeting China's national standard for the National Forest Inventory(NFI);(2)The hybrid estimator demonstrated comparable efficiency to the CMB estimator;(3)The uncertainty associated with hybrid estimators was primarily dominated by model parameter estimation,which could be effectively mitigated by slightly increasing the training sample size or refining model specification.Overall,in forest inventory,the hybrid estimator can surmount the limitations posed by missing values in remotely sensed auxiliary data,effectively balancing cost-effectiveness and flexibility.展开更多
Objective:To describe the implementation of evidence-based practice(EBP)and identify the associated factors among clinical nurses working at an oncology hospital in Central Vietnam.Methods:A cross-sectional study was ...Objective:To describe the implementation of evidence-based practice(EBP)and identify the associated factors among clinical nurses working at an oncology hospital in Central Vietnam.Methods:A cross-sectional study was conducted with 190 clinical nurses recruited from an oncology hospital in Central Vietnam.The self-administered Evidence-Based Practice Questionnaire(EBPQ)was employed to assess the nurses'knowledge/skills,attitudes,and implementation of EBP.Data analysis utilized descriptive statistics,the Mann-Whitney test,the Kruskal-Wallis test,and Spearman's rho correlation.Results:The mean total score for EBP implementation among the nurses was 29.52(SD=7.14)out of 42 scores.The most frequently undertaken activity was sharing evidence with colleagues,whereas finding relevant evidence was the least performed.The level of EBP implementation significantly varied based on the nurses'role types and their participation in related courses(P<0.05).Moreover,a strong positive correlation was observed between EBP implementation and both knowledge/skills(r=0.703,P<0.001)and attitudes toward EBP(r=0.536,P<0.001).Conclusions:The implementation of EBP by oncology nurses is generally moderate and is significantly positively correlated with their knowledge/skills and attitudes toward EBP.These findings underscore the importance of enhancing educational programs and facilitating suppor tive institutional policies to fur ther encourage the adoption of EBP among nurses.展开更多
This study shows a technical,bioclimatic,and sustainable analysis of the first demountable house built entirely from glass components,Vitrohouse.The technical analysis details the construction challenges overcome to c...This study shows a technical,bioclimatic,and sustainable analysis of the first demountable house built entirely from glass components,Vitrohouse.The technical analysis details the construction challenges overcome to create a demountable house using only flat glass for all components(foundations,slabs,supporting structure,beams,roof,envelope,furnishings,kitchen fixtures,appliances).Secondly,we analyze the thermal and bioclimatic behavior of this demountable all-glass house to evaluate its energy efficiency.We also assess the contribution of Vitrohouse’s bioclimatic design to its sustainability level,using 11 of the most internationally recognized GBRSs(Green Building Rating Systems),demonstrating that it achieves a higher degree of sustainability than a conventional,non-bioclimatic home of the same size.Thirdly,we analyze the contribution of Vitrohouse’s demountable nature,showing that it has a higher level of sustainability than a conventionally built house.Finally,the sustainable analysis of its demountability is quantified using 11 GBRSs.The results show that it is perfectly feasible to construct buildings solely from flat glass,achieving high energy efficiency and sustainability.Furthermore,the glass components can be easily disassembled and reused,or recycled to manufacture new components with minimal energy consumption.展开更多
文摘Lysosomal storage disorders and their impact upon the central nervous system:Lysosomal storage disorders(LSDs)are a group of over 70 rare inherited metabolic disorders(Platt et al.,2018).They are caused by dysfunction of lysosomes,organelles that contain enzymes responsible for digesting macromolecules.In functional lysosomes,these enzymes break down complex substrates,and the resulting fragments are recycled.Individual LSDs are caused by mutations in genes that encode lysosomal enzymes or other proteins crucial for lysosome function(Platt et al.,2018).
基金supported by Russian Science Foundation Grant No.24-62-00032.
文摘Experiments with interacting high-velocity flows in a laser plasma can help answer fundamental questions in plasma physics and improve understanding of the mechanisms behind some astrophysical phenomena,such as the formation of collisionless shock waves,deceleration of accretion flows,and evolution of solar and stellar flares.This work presents the first direct experimental observations of stagnation and redirection of counterstreaming flows(jets)of laser plasma induced by intense laser pulses with intensity I~2×10^(18) W/cm^(2).Hybrid particlein-cell-fluid modeling,which takes into account the kinetic effects of ion motion and the evolution of the pressure tensor for electrons,demonstrates the compression of counterdirected toroidal self-generated magnetic fields embedded in counterstreaming plasma flows.The enhancement of the toroidal magnetic field in the interaction region results in plasma flow stagnation and redirection of the jets across the line of their initial propagation.
基金funded by the Key Laboratory of Geological Safety of Coastal Urban Underground Space,Ministry of Natural Resources of China(Grant No.BHKF2022Y02)Natural Science Foundation of Guangdong Province,China(Grant No.2024A1515011162)Natural Science Foundation of Shandong Province,China(Grant No.ZR2024QE021).
文摘Traditional mining in open pit mines often uses explosives,leading to environmental hazards,with flyrock being a critical issue.In detail,excess flying rock beyond the designated explosion area was identified as the primary cause of fatal and non-fatal blasting hazards in open pit mining.Therefore,the accurate and reliable prediction of flyrock becomes crucial for effectively managing and mitigating associated problems.This study used the Light Gradient Boosting Machine(LightGBM)model to predict flyrock in a lead-zinc mine,with promising results.To improve its accuracy,multi-verse optimizer(MVO)and ant lion optimizer(ALO)metaheuristic algorithms were introduced.Results showed MVO-LightGBM outperformed conventional LightGBM.Additionally,decision tree(DT),support vector machine(SVM),and classification and regression tree(CART)models were trained and compared with MVO-LightGBM.The MVO-LightGBM model excelled over DT,SVM,and CART.This study highlights MVO-LightGBM's effectiveness and potential for broader applications.Furthermore,a multiple parametric sensitivity analysis(MPSA)algorithm was employed to specify the sensitivity of parameters.MPSA results indicated that the highest and lowest sensitivities are relevant to blasted rock per hole and spacing with theγ=1752.12 andγ=49.52,respectively.
基金supported by the Natural Science Foundation of Jiangsu Province,China(Grant No.BK20240937)the Natural Science Foundation of Shandong Province(Grant No.ZR2021QE187)+2 种基金the Shandong Higher Education“Young Entrepreneurship Talents Introduction and Cultivation Program”Project(Grant No.ZXQT20221228001)the Natural Science Foundation of China(Grant No.42502273)the Science and Technology Innovation Program of Hunan Province(Grant No.2022RC4028).
文摘1.Introduction Artificial intelligence(AI)is rapidly reshaping geoscience,from Earth observation interpretation and hazard forecasting to subsurface characterisation and Earth system modelling(Kochupillai et al.,2022;Sun et al.,2024).These capabilities emerge at a time when geoscientific evidence is increasingly informing high-stakes decisions about climate adaptation,resource development,and disaster risk reduction(McGovern et al.,2022).
文摘BACKGROUND Living donor kidney transplantation is the optimal method of long-term renal replacement therapy.Minimally invasive donor nephrectomy techniques,such as robot-assisted(RALDN)and hand-assisted(HALDN)laparoscopic procedures,are well-established in high-income countries and are being increasingly adopted worldwide.Nevertheless,no studies have reported surgical outcomes of RALDN donor nephrectomy from a United Kingdom center to date.AIM To compare surgical outcomes between RALDN and HALDN laparoscopic donor nephrectomy in a United Kingdom high-volume living kidney donor transplant program.METHODS A case-control matching analysis was performed based on the following parameters:Sex,age,body mass index,procedure laterality,number of renal arteries,and previous abdominal surgeries.Key surgical outcomes,including primary warm ischemia time,operative duration,and post-operative recovery,were evaluated.RESULTS In this cohort of 140 living donors(70 RALDN vs 70 HALDN),donor and recipient outcomes were equivalent across key metrics:Pain scores,overall complication rates,readmissions,reoperations,and creatinine levels at 30 days and 1 year.Recipient long-term renal function did not differ between groups.Operative time for RALDN decreased significantly over the study period,indicating progressive improvement along the learning curve.Although RALDN was associated with a modestly longer mean warm ischaemia time(3.53 minutes vs 2.76 minutes,P<0.001)and extended hospital stay(4.21 days vs 3.17 days,P<0.001),these did not translate into any disadvantage in clinical outcomes.CONCLUSION In this first United Kingdom comparative cohort,RALDN demonstrated excellent safety and efficacy,even in the early phase of our programme,matching the outcomes of the well-established,gold-standard HALDN approach.Moreover,the pronounced learning-curve trajectory suggests considerable potential for further improvements in robotic surgical outcomes as the programme matures.
文摘Background:Prostate cancer is a common malignancy,with many men on active surveillance for localized,low-risk disease also experiencing lower urinary tract symptoms(LUTS)from benign prostatic hyperplasia(BPH).Water Vapor Thermal Therapy(WVTT)is a minimally invasive BPH treatment,but its safety and efficacy in this setting are unclear.Case Description:We report three men with localized PCa on active surveillance who underwent WVTT for LUTS.Conclusions:WVTT appears safe and potentially effective in treating LUTS,especially in those with lower-risk disease and smaller prostate volumes.Further research is needed to confirm safety,efficacy,and optimal patient selection.
基金supported by and the National Natural Science Foundation of China(Grant No.1240209912402206,12372161)the Interdisciplinary Research Project for Young Teachers of USTB(Fundamental Research Funds for the Central Universities,Grant No.FRF-IDRYGD24-001)+2 种基金the Postdoctoral Fellowship Program of CPSF(Grant No.GZB20240767)the China Postdoctoral Science Foundation(Grant No.2024M753305),the Science and Disruptive Technology Program,AIRCAS(Grant No.2024-AIRCAS-SDTP-08).
文摘Long-duration vehicles in near space have achieved great success;however,the non-destructive testing(NDT)methods for the envelope materials of such long-duration vehicles remain blank.In this paper,we propose the air-coupled ultrasonic NDT method theoretically.In the theoretical analysis process,the envelope material is simplified as an orthogonal sandwich structure.To calculate the displacement and stress fields of each medium,the state vectors are established and the transfer matrices of the material from the upper interface to the lower interface are obtained by using boundary conditions.Then,linear equations about the amplitude of reflected and transmitted waves are derived by combining the coupling boundary conditions of air and solid.The effects of incident angles,inflation of the envelope material,and debonding of the interfaces on the transmission coefficients are considered.The results show that the air-coupled ultrasonic NDT of the envelope material can be carried out in the pre-inflated state.Finally,a method for identifying interface debonding is proposed based on judging transmission coefficients within a certain frequency range.
基金financed as part of the project“Development of a methodology for instrumental base formation for analysis and modeling of the spatial socio-economic development of systems based on internal reserves in the context of digitalization”(FSEG-2023-0008).
文摘The optimized Grok algorithm can significantly improve the accuracy of time series analysis and understanding the dynamics of climate change.Fine-tuned Grok architecture can be used to monitor and analyze climate processes.The main aim is to analyze the Fine-tuned Grok architecture for research on climate change,world ecology,carbon dioxide growth,and carbon funds.The global challenges of climate change and ecological degradation demand innovative analytical approaches capable of processing vast,multivariate,and non-linear datasets.Concurrently,the global financial system,deeply intertwined with energy transitions and sustainable development,requires sophisticated tools for risk assessment and investment strategy in a changing world.Fine-tuned Grok architecture model helps to plan strategies for adaptation to climate change by calculating the optimal allocation of resources,taking into account risks and reducing losses.Due to its ability to respond quickly to new conditions,the system will be able to quickly adjust evacuation plans,deploy protective structures,and distribute assistance to affected regions.The use of artificial intelligence significantly expands the capabilities of the scientific community and authorities in monitoring,assessing,and managing climate change.The optimized Fine-tuned Grok architecture opens the way to a new level of informed decision-making about climate change and ensuring the safety of our future generations.
基金financial support from the Russian Science Foundation(grant No.20-72-10052)。
文摘We present a new two-dimensional(2D)map of total Galactic extinction,Av,across the entire dust half-layer from the Sun to extragalactic space for Galactic latitudes|b|>13°,as well as a three-dimensional(3D)map of Av within 2 kpc of the Sun.These maps are based on A_(V)and distance estimates derived from a data set,which utilizes Gaia Data Release 3 parallaxes and multi-band photometry for nearly 100 million dwarf stars.We apply our own corrections to account for significant systematics in this data set.Our 2D map achieves an angular resolution of6'.1,while the 3D map offers a transverse resolution of 3.56 pc—corresponding to variable angular resolution depending on distance—and a radial resolution of 50 pc.In constructing these maps,we pay particular attention to the solar neighborhood(within 200 pc)and to high Galactic latitudes.The 3D map predicts Av from the Sun to any extended object within the Galactic dust layer with an accuracy ofσ(A_(V))=0.1 mag.The 2D map provides Av estimates for the entire dust half-layer up to extragalactic distances with an accuracy ofσ(A_(V))=0.07 mag.We provide A_(V)estimates from our maps for various classes of extended celestial objects with angular size primarily in the range of 2′-40′,including 19,809 galaxies and quasars,170 Galactic globular clusters,458 open clusters,and several hundred molecular clouds from two lists.We also present extinction values for 8293 TypeⅠa supernovae.Comparison of our extinction estimates with those from previous maps and literature sources reveals systematic differences,indicating large-scale spatial variations in the extinction law and suggesting that earlier 2D reddening maps based on infrared dust emission tend to underestimate low extinction values.
文摘Optimization is the key to obtaining efficient utilization of resources in structural design.Due to the complex nature of truss systems,this study presents a method based on metaheuristic modelling that minimises structural weight under stress and frequency constraints.Two new algorithms,the Red Kite Optimization Algorithm(ROA)and Secretary Bird Optimization Algorithm(SBOA),are utilized on five benchmark trusses with 10,18,37,72,and 200-bar trusses.Both algorithms are evaluated against benchmarks in the literature.The results indicate that SBOA always reaches a lighter optimal.Designs with reducing structural weight ranging from 0.02%to 0.15%compared to ROA,and up to 6%–8%as compared to conventional algorithms.In addition,SBOA can achieve 15%–20%faster convergence speed and 10%–18%reduction in computational time with a smaller standard deviation over independent runs,which demonstrates its robustness and reliability.It is indicated that the adaptive exploration mechanism of SBOA,especially its Levy flight–based search strategy,can obviously improve optimization performance for low-and high-dimensional trusses.The research has implications in the context of promoting bio-inspired optimization techniques by demonstrating the viability of SBOA,a reliable model for large-scale structural design that provides significant enhancements in performance and convergence behavior.
文摘Calcium (Ca^(2+)) is a key intracellular messenger involved in a variety of cellular functions.Intracellular Ca^(2+)dysregulation drives neuron cell death in multiple degenerative diseases and traumatic conditions.Retinal ganglion cell(RGC) degeneration occurs in blinding diseases such as glaucoma and other optic neuropathies.
基金supported by the Russian Science Foundation grant number 24-23-00481,https://rscf.ru/project/24-2300481/.
文摘Flexible materials with perovskite quantum dots(PQDs)are widely used in the field of photonics and opto-electronics due to their unique properties.Development of new materials based on these nanoparticles,incorporated into flexible and lightweight nonwoven fabrics,demonstrated high photoconductivity and efficient light energy conversion.In this work,we propose a method for creating a stable luminescent nonwoven material using electrospinning,in which inorganic salt precursors are used without the need for additional stabilizers.Equimolar solutions of cesium and lead(Ⅱ)bromide were mixed with a fluoroplast,resulting in a series of samples.Luminescent materials were obtained containing PQDs with a composition of CsPbBr_(3),with emission peaks ranging from 507 to 517 nm under 365-nm excitation.We have experimentally established and theoretically confirmed that the peak position is related to the size of the particles formed in the fiber during electrospinning and depends on processing time.Developed materials exhibited stable luminescent properties for up to 2.5 years,making them a promising candidate for the development of new flexible optoelectronic devices based on PQDs.
基金supported by the Canadian Institutes of Health Research Project grant (PJT-169197) to QYsupported by a CGS-M fellowship from the Canadian Institutes of Health Research
文摘Alzheimer’s disease(AD)remains an incurable neurodegenerative disorder with devastating societal and personal impacts.Despite decades of intensive research,therapeutic efforts targeting the clinical stages of AD have largely failed to halt or reverse disease progression.This has prompted a critical shift in focus toward the earlier,preclinical stages of AD,where interventions may hold greater promise for altering the disease trajectory.
基金Deanship of Research and Graduate Studies at King Khalid University for funding this work through the Large Research Project(Grant No.RGP2/587/46).
文摘Photovoltaic(PV)systems in the field operate under complex,uncertain conditions rapid irradiance ramps,partial shading,temperature swings,surface soiling,and weak-grid disturbances including off-nominal frequency and voltage distortion that degrade energy yield and power quality.We propose a drift-aware,power-quality-constrained MPPT framework that co-optimizes MPPT,PLL,and current-loop gains under stochastic frequency drift,while enforcing IEEE-519 limits(per-order Ih/IL and TDD)during optimization.Unlike energy-only or THD-only methods,the design target integrates PQ constraints into the objective and is validated across calibrated drift scenarios with explicit per-order and TDD reporting.Operating scenarios are calibrated to Cameroon’s Southern Interconnected Grid and city-specific profiles(Douala/Yaoundé),combining measured-style irradiance/temperature traces,partial-shading patterns,and stochastic frequency drift up to±0.8 Hz with synthetic contingencies.Across a 30-scenario campaign,the proposed controller achievesηMPPT=99.3%–99.6%(vs.98.6%Incremental Conductance and 97.8%Perturb-and-Observe),lowers DC-link ripple by 35%–48%,reduces oscillatory PCC power by≈41%,maintains THD≤2.5%(5%limit)and PF≥0.99,and shortens irradiance-step settling from 85–110 ms to 50–65 ms.Sensitivity to PLL bandwidth shows a broad optimum(≈60–90 Hz)with minimum THD/ripple,and ablations confirm that explicit drift weighting is pivotal to ripple and THD suppression without sacrificing yield.The approach is controller-agnostic,firmware-deployable,and generalizes to other converter-interfaced renewables;we outline a short hardware-/HIL-validation path for adoption in Sub-Saharan grids.
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The last research focuses on the role of exosomes in cancer treatment.Exosomes are extracellular vesicles.They can be secreted by cancer cells,and they can modulate chemotherapy sensitivity.Determining exosomal content opens the possibility for guiding treatment strategies for cancer diseases.Exosomal microRNA are considered one of the prime candidates for exosomal biomarkers.Exosomal circular RNAs represent excellent biomarkers for liquid biopsy because of their stability in many types of cancer.Exosomal proteins remain reliable biomarkers also.Exosomes have emerged as promising therapeutic candidates.Their biological properties render them ideal vectors for drug delivery.Genetic modification of exosomes is an effective way to deliver material capable of modulating cellular pathways involved in drug resistance.Furthermore,exosomes have been explored as carriers for metal-chelating agents.Integrating exosome-based therapies with traditional anticancer agents aims to exploit the natural targeting abilities of exosomes to enhance drug delivery.Despite the dynamic development of this field,many mechanisms of exosome action remain incompletely understood.Therefore,it is necessary to conduct further studies that will allow for a better understanding of their role in the process of resistance and will enable the development of effective therapeutic strategies.
文摘A lupuslike condition induced by intraperitoneal administration of pristane(2,6,10,14 tetramethylpentadecane)in mice is widely used as a model of systemic lupus erythematosus(SLE).Due to their phylogenetic distance from humans,murine models are not always suitable tool for studying the specific activity of therapeutic agents and the pathogenesis of SLE.In order to overcome speciesspecific limitations of murine models,this approach was tested in nonhuman primates-cynomolgus monkeys(Macaca fascicularis).Two intraperitoneal injections at a dose of 3.5 mL/kg,administered at weeks 1 and 23,recapitulated SLE features,including:production of antinuclear autoantibodies(ANA),membranoproliferative glomerulonephritis with immune complex(IC)deposition in the glomeruli.However,from week 27 five of eight pristanetreated monkeys developed progressive respiratory failure.Two of these died at week 28 and the remaining were euthanized at week 32.The histology of the monkey lungs suggested exogenous lipoid pneumonia.Thus,while pristane induced serological autoimmunity and characteristic renal manifestations in Macaca fascicularis,the consequent lipoid pneumonia limited the observation period and prevented comprehensive evaluation of SLE manifestations beyond 32 weeks.
基金supported by the National Key R&D Program of China(No.2023YFF1304002-05)the National Social Science Fund of China(No.22BTJ005)the National Natural Science Foundation of China(No.32572049)。
文摘Remote sensing plays a pivotal role in forest inventory by enabling efficient large-scale monitoring while minimizing fieldwork costs.However,missing values pose a critical challenge in remote sensing applications,as ignoring or mishandling such data gaps can introduce systematic bias into the estimation of target variables for natural resource monitoring.This can lead to cascading errors that propagate through forest and ecosystem management decisions,ultimately hindering progress toward sustainable forest management,biodiversity conservation,and climate change mitigation strategies.This study aims to propose and demonstrate a procedure that employs hybrid estimators to address the limitations of missing remotely sensed data in forest inventory,using Landsat 7 ETM+SLC-off data as an archived source for forest resource monitoring as a case in point.We compared forest inventory estimates from the hybrid estimator with those from a conventional model-based(CMB)estimator using Sentinel-2 data without missing values.Monte Carlo simulations revealed three key findings:(1)The hybrid estimator,leveraging missing-data remote sensing represented by Landsat 7 ETM+SLCoff data,achieved a sampling precision of over 90%,meeting China's national standard for the National Forest Inventory(NFI);(2)The hybrid estimator demonstrated comparable efficiency to the CMB estimator;(3)The uncertainty associated with hybrid estimators was primarily dominated by model parameter estimation,which could be effectively mitigated by slightly increasing the training sample size or refining model specification.Overall,in forest inventory,the hybrid estimator can surmount the limitations posed by missing values in remotely sensed auxiliary data,effectively balancing cost-effectiveness and flexibility.
文摘Objective:To describe the implementation of evidence-based practice(EBP)and identify the associated factors among clinical nurses working at an oncology hospital in Central Vietnam.Methods:A cross-sectional study was conducted with 190 clinical nurses recruited from an oncology hospital in Central Vietnam.The self-administered Evidence-Based Practice Questionnaire(EBPQ)was employed to assess the nurses'knowledge/skills,attitudes,and implementation of EBP.Data analysis utilized descriptive statistics,the Mann-Whitney test,the Kruskal-Wallis test,and Spearman's rho correlation.Results:The mean total score for EBP implementation among the nurses was 29.52(SD=7.14)out of 42 scores.The most frequently undertaken activity was sharing evidence with colleagues,whereas finding relevant evidence was the least performed.The level of EBP implementation significantly varied based on the nurses'role types and their participation in related courses(P<0.05).Moreover,a strong positive correlation was observed between EBP implementation and both knowledge/skills(r=0.703,P<0.001)and attitudes toward EBP(r=0.536,P<0.001).Conclusions:The implementation of EBP by oncology nurses is generally moderate and is significantly positively correlated with their knowledge/skills and attitudes toward EBP.These findings underscore the importance of enhancing educational programs and facilitating suppor tive institutional policies to fur ther encourage the adoption of EBP among nurses.
文摘This study shows a technical,bioclimatic,and sustainable analysis of the first demountable house built entirely from glass components,Vitrohouse.The technical analysis details the construction challenges overcome to create a demountable house using only flat glass for all components(foundations,slabs,supporting structure,beams,roof,envelope,furnishings,kitchen fixtures,appliances).Secondly,we analyze the thermal and bioclimatic behavior of this demountable all-glass house to evaluate its energy efficiency.We also assess the contribution of Vitrohouse’s bioclimatic design to its sustainability level,using 11 of the most internationally recognized GBRSs(Green Building Rating Systems),demonstrating that it achieves a higher degree of sustainability than a conventional,non-bioclimatic home of the same size.Thirdly,we analyze the contribution of Vitrohouse’s demountable nature,showing that it has a higher level of sustainability than a conventionally built house.Finally,the sustainable analysis of its demountability is quantified using 11 GBRSs.The results show that it is perfectly feasible to construct buildings solely from flat glass,achieving high energy efficiency and sustainability.Furthermore,the glass components can be easily disassembled and reused,or recycled to manufacture new components with minimal energy consumption.
