An improved method is proposed for the extraction of the symmetry energy coefficient relative to the temperature,a_(sym)/T,in the heavy-ion reactions near the Fermi energy region,based on the modified Fisher Model.Thi...An improved method is proposed for the extraction of the symmetry energy coefficient relative to the temperature,a_(sym)/T,in the heavy-ion reactions near the Fermi energy region,based on the modified Fisher Model.This method is applied to the primary fragments of antisymmetrized molecular dynamics(AMD)simulations for ^(46)Fe+^(46)Fe,^(40)Ca+^(40)Ca and ^(48)Ca+^(48)Ca at 35 MeV/nucleon,in order to make direct comparison to the results from the K(N,Z)method of Ono et al.In our improved method,the extracted values of a_(sym)/T increase as the size of isotopes increases whereas,in the K(N,Z)method,the results show rather constant behavior.This increase in our result is attributed to the surface contribution of the symmetry energy in finite nuclei.In order to evaluate the surface contribution,the relation a_(sym)/T=[a_(sym)^((V))(1-k_(S/V) A^(-1/3))]/T is applied and k_(S/V)=1.20~1.25 was extracted.This value is smaller than those extracted from the mass table,reflecting the weakened surface contribution at higher temperature regime.Δμ/T,the difference of the neutron-proton chemical potentials relative to the temperature,is also extracted in this method at the same time.The average values of the extractedΔμ/T,Δμ/T show a linear dependence on the proton-neutron a_(sym)metry parameter of the system,δ_(sys),andΔμ/T=(15.1±0.2)δ_(sys)-(0.5±0.1)is obtained.展开更多
Complex Field Theory (CFT) proposes that dark matter (DM) and dark energy (DE) are pervasive, complex fields of charged complex masses of equally positive and negative complex charges, respectively. It proposes that e...Complex Field Theory (CFT) proposes that dark matter (DM) and dark energy (DE) are pervasive, complex fields of charged complex masses of equally positive and negative complex charges, respectively. It proposes that each material object, including living creatures, is concomitant with a fraction of the charged complex masses of DM and DE in proportion to its mass. This perception provides new insights into the physics of nature and its constituents from subatomic to cosmic scales. This complex nature of DM and DE explains our inability to see DM or harvest DE for the last several decades. The positive complex DM is responsible for preserving the integrity of galaxies and all material systems. The negative complex charged DE induces a positive repelling force with the positively charged DM and contributes to the universe’s expansion. Both fields are Lorentz invariants in all directions and entangle the whole universe. The paper uses CFT to investigate zero-point energy, particle-wave duality, relativistic mass increase, and entanglement phenomenon and unifies Coulomb’s and Newton’s laws. The paper also verifies the existence of tachyons and explains the spooky action of quantum mechanics at a distance. The paper encourages further research into how CFT might resolve several physical mysteries in physics.展开更多
While cold dark matter is widely supported by a range of cosmological observations,it encounters several difficulties at smaller scales.These issues have prompted the investigation of various alternative dark matter c...While cold dark matter is widely supported by a range of cosmological observations,it encounters several difficulties at smaller scales.These issues have prompted the investigation of various alternative dark matter candidates,leaving the question“What is dark matter?”still open.In this work,we propose a new cosmological model that considers dark matter as a barotropic fluid with a constant equation of state parameter and interprets dark energy as the phenomenological emergent dark energy rather than a cosmological constant.We then place constraints on our new model using the Planck 2018 Cosmic Microwave Background(CMB)anisotropy measurements,Baryon Acoustic Oscillation measurements from the Dark Energy Spectroscopic Instrument(DESI),the Pantheon Plus(PP)compilation of Type Ia supernovae,and the Redshift Space Distortions(RSD)data from Gold 2018.The results show statistically significant signal for positive dark matter equation of state and square of sound speed w_(dm)=c_(s,dm)^(2)(10^(7) w_(dm)=4.0_(-2.3)^(+2.5)at the 95%confidence level)for the data combination CMB+DESI+PP+RSD.However,Bayesian evidence indicates that this data combination favors theΛCDM model with very strong evidence.展开更多
Cameroon’s capital Yaoundécame alive on 16 and 17 July as it hosted a major international gathering for the liquefied natural gas(LNG)sector.The event brought together over 1,000 industry professionals and 50 ex...Cameroon’s capital Yaoundécame alive on 16 and 17 July as it hosted a major international gathering for the liquefied natural gas(LNG)sector.The event brought together over 1,000 industry professionals and 50 exhibitors from more than 30 countries including China to address the future of cleaner and more inclusive energy.展开更多
To generate a neutron beam exhibiting a Maxwellian energy distribution with narrow emission angles for measuring the neutron capture reaction rates of the s-process nuclides,a monoenergetic 3.4 MeV proton beam produce...To generate a neutron beam exhibiting a Maxwellian energy distribution with narrow emission angles for measuring the neutron capture reaction rates of the s-process nuclides,a monoenergetic 3.4 MeV proton beam produced by the tandem-accelerator in the China Institute of Atomic Energy was utilized.The proton beam was first transmitted through a 60.5μm aluminum foil and then impinged on a natural LiF target to produce neutron beam via^(7)Li(p,n)7Be reaction.The quasi-Gaussian energy distribution of protons in the LiF target resulted in neutron energy spectra that agreed with a Maxwellian energy distribution at kT=(22±2)keV,which was achieved by integrating neutrons detected within an emission angle of 65.0°±2.6°using a ^(6)Li glass detector positioned at 65°relative to the proton beam direction.The narrow angular spread of the Maxwelliandistributed neutron beam enables direct measurement of neutron capture cross-sections for most s-process nuclides,overcoming previous experimental limitations associated with broad angular distributions.展开更多
The article contains an error regarding the electron spectra displayed in Figs.4 and 5 and the data extracted from these spectra.The measurements were made with the SESAME magnetic spectrometer,the working principle o...The article contains an error regarding the electron spectra displayed in Figs.4 and 5 and the data extracted from these spectra.The measurements were made with the SESAME magnetic spectrometer,the working principle of which is recalled in Fig.1.Specifically,a magnetic dipole is used to separate charged particles(electrons in the case of this experiment)depending on their energy,charge and mass.The deflected particles then hit an imaging plate(IP)and deposit energy in its sensitive layer.The kinetic energy of the particles can be evaluated from their impact position on the IP and their number can be inferred from the local energy deposition.展开更多
Intracerebral hemorrhage is the most dangerous subtype of stroke,characterized by high mortality and morbidity rates,and frequently leads to significant secondary white matter injury.In recent decades,studies have rev...Intracerebral hemorrhage is the most dangerous subtype of stroke,characterized by high mortality and morbidity rates,and frequently leads to significant secondary white matter injury.In recent decades,studies have revealed that gut microbiota can communicate bidirectionally with the brain through the gut microbiota–brain axis.This axis indicates that gut microbiota is closely related to the development and prognosis of intracerebral hemorrhage and its associated secondary white matter injury.The NACHT,LRR,and pyrin domain-containing protein 3(NLRP3)inflammasome plays a crucial role in this context.This review summarizes the dysbiosis of gut microbiota following intracerebral hemorrhage and explores the mechanisms by which this imbalance may promote the activation of the NLRP3 inflammasome.These mechanisms include metabolic pathways(involving short-chain fatty acids,lipopolysaccharides,lactic acid,bile acids,trimethylamine-N-oxide,and tryptophan),neural pathways(such as the vagus nerve and sympathetic nerve),and immune pathways(involving microglia and T cells).We then discuss the relationship between the activated NLRP3 inflammasome and secondary white matter injury after intracerebral hemorrhage.The activation of the NLRP3 inflammasome can exacerbate secondary white matter injury by disrupting the blood–brain barrier,inducing neuroinflammation,and interfering with nerve regeneration.Finally,we outline potential treatment strategies for intracerebral hemorrhage and its secondary white matter injury.Our review highlights the critical role of the gut microbiota–brain axis and the NLRP3 inflammasome in white matter injury following intracerebral hemorrhage,paving the way for exploring potential therapeutic approaches.展开更多
As oncologic therapies continue to advance,the overall survival of cancer patients has markedly increased.Nevertheless,virtually every anticancer treatment modality is accompanied by some degree of cardiotoxicity.Epid...As oncologic therapies continue to advance,the overall survival of cancer patients has markedly increased.Nevertheless,virtually every anticancer treatment modality is accompanied by some degree of cardiotoxicity.Epidemiological data indicate that approximately 30%of cancer survivors ultimately die from cardiovascular disease.Among the cardiotoxic agents,the anthracycline doxorubicin(DOX)is the most widely used.It effectively suppresses a variety of malignant tumors——including breast cancer,lymphoma,and acute leukemia——but its cardiac toxicity limits further escalation of clinical dosing.Literature reports identify a cumulative dose of≥250 mg/m²as the threshold of high risk,with roughly 25%of patients receiving DOX developing varying degrees of myocardial injury;severe cases progress to heart failure.Even at cumulative doses below the traditional safety limit,some patients exhibit cardiac dysfunction after the first administration,suggesting that cardiotoxicity is not solely a linear function of dose.DOX related cardiotoxicity can be classified as acute(hours to days after administration),sub acute(weeks to months),and chronic/late onset(years later).Most patients initially exhibit only mild reductions in left ventricular ejection fraction(LVEF)or subtle abnormalities in global longitudinal strain(GLS),often without symptoms.Recently,cardiac biomarkers(cTn,NT proBNP)combined with high sensitivity echocardiography(speckle tracking)have been recommended for monitoring high risk individuals,enabling detection of subclinical injury before overt LVEF decline.Currently,several preventive and therapeutic approaches are used in clinical practice,which can be summarized into the following four points.(1)Dose limitation and administration strategies:fractionated low dose regimens,liposomal encapsulation,or continuous infusion lower peak plasma concentrations,thereby reducing cardiac exposure.(2)Pharmacologic prophylaxis:βblockers(e.g.,carvedilol)and ACE inhibitors/ARBs have shown protective effects on LVEF in some randomized trials,though results remain inconsistent and require larger confirmatory studies.(3)Metabolic targeted interventions:animal experiments indicate that activation of PPARαor supplementation with L carnitine restores fatty acid oxidation and improves ATP generation,suggesting metabolic modulators as promising cardioprotective candidates.(4)Lifestyle modifications:regular aerobic exercise up regulates mitochondrial biogenesis genes(PGC-1α)and reduces reactive oxygen species(ROS)production;small clinical studies have demonstrated a potential benefit in attenuating cTnT elevation.However,DOX-induced cardiotoxicity has not been effectively controlled,indicating that the core mechanism underlying DOX‑related cardiac toxicity remains unidentified.Cardiomyocytes are high energy demand cells,and metabolic dysregulation is considered a central component of DOX induced cardiotoxicity.DOX disrupts myocardial metabolic balance through several interrelated pathways.(1)Oxidative stress and mitochondrial damage:DOX generates abundant ROS within cells,leading to mitochondrial membrane potential loss,lipid peroxidation,and iron accumulation,which suppress electron transport chain activity and markedly reduce ATP synthesis efficiency.(2)Autophagy dysregulation:DOX interferes with autophagic flux,preventing the clearance of damaged mitochondria and further aggravating apoptosis and inflammatory responses.(3)Inflammation and cytokine release:oxidative stress activates NF‑κB,up-regulating pro inflammatory cytokines such as TNF‑αand IL-6,creating a chronic inflammatory microenvironment that weakens myocardial contractility.(4)Epigenetic modifications:studies have shown that DOX alters DNA methylation and histone acetylation patterns in cardiomyocytes,affecting the expression of key metabolic genes(e.g.,PGC-1α,CPT-1)and further inhibiting fatty acidβoxidation.These mechanisms collectively lead to suppressed fatty acid oxidation and compensatory up regulation of glycolysis,manifested by an elevated lactate/pyruvate ratio,accumulation of medium chain acyl carnitines,and a pronounced decline in ATP production.The resulting energy deficit precipitates left ventricular contractile dysfunction and,ultimately,heart failure.Despite extensive basic and clinical research on DOX cardiotoxicity,a unified risk assessment model and precise interventions targeting metabolic disturbances remain lacking.This review systematically summarizes recent progress on DOX induced cardiotoxicity and highlights that impairment of myocardial energy metabolism is a central mechanism of injury,thereby deepened our understanding of how impaired myocardial energy metabolism drives DOX induced injury,we can move toward safer chemotherapy protocols that achieve“cure cancer without harming the heart”.展开更多
Ultrafast optical spectroscopy was successfully introduced decades ago.Its deep relationship with condensed matter physics profoundly enriched the scientific frontier of light–matter interactions.Previously,materials...Ultrafast optical spectroscopy was successfully introduced decades ago.Its deep relationship with condensed matter physics profoundly enriched the scientific frontier of light–matter interactions.Previously,materials such as metals,insulators,semiconductors,and superconductors were investigated,followed by magnetic materials,strongly correlated materials,complex oxides,nano-materials,topological materials,and metamaterials.展开更多
Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptio...Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptions due to its subtropical monsoon climate,including typhoons and gusty winds,present ongoing challenges.Despite the growing focus on operational costs and third-party risks,research on low-altitude urban wind fields remains scarce.This study addresses this gap by integrating wind field analysis into UAV path planning,introducing key innovations to the classical model.First,UAV wind resistance and turbulence constraints are analyzed,mapping high-wind-speed and turbulence-prone zones in the airspace.Second,wind dynamics are incorporated into path planning by considering airspeed and groundspeed variation,optimizing waypoint selection and flight speed adjustments to improve overall energy efficiency.Additionally,a wind-aware Theta*algorithm is proposed,leveraging wind vectors to expedite search process,while Computational Fluid Dynamics(CFD)techniques are employed to calculate wind fields.A case study of Shenzhen,examining wind patterns over the past decade,demonstrates a 6.23%improvement in groundspeed and a 7.69%reduction in energy consumption compared to wind-agnostic models.This framework advances UAV logistics by enhancing route safety and energy efficiency,contributing to more cost-effective operations.展开更多
0 INTRODUCTION Throughout human history,three major energy transitions have occurred:from burning wood in primitive times to using coal in 18th Century,then to oil and gas in 20th Century,and to the renewable energy r...0 INTRODUCTION Throughout human history,three major energy transitions have occurred:from burning wood in primitive times to using coal in 18th Century,then to oil and gas in 20th Century,and to the renewable energy revolution in the 21st Century(Zou et al.,2023).The three transitions have three characteristics in common:shifted from nonrenewable to renewable energy,from“resource-centric”to a“technology-centric”,and from“high-carbon fossil”to“net-zero”.展开更多
Siemens and Yangpu Economic Development Zone in Hainan have forged a close partnership in a journey towards green energy transition.SIEMENS Energy,one of the world’s leading energy technology companies,became the fir...Siemens and Yangpu Economic Development Zone in Hainan have forged a close partnership in a journey towards green energy transition.SIEMENS Energy,one of the world’s leading energy technology companies,became the first foreign-funded manufacturer to establish a branch and began construction of a gas turbine assembly base and service center in Hainan on December 18,2025.展开更多
This study examined the role of green energy development in mitigating climate change and fostering sustainable development in Central Asia including Kazakhstan,Uzbekistan,Kyrgyzstan,Tajikistan,and Turkmenistan.The re...This study examined the role of green energy development in mitigating climate change and fostering sustainable development in Central Asia including Kazakhstan,Uzbekistan,Kyrgyzstan,Tajikistan,and Turkmenistan.The region has substantial untapped potential in solar energy,wind energy,hydropower energy,as well as biomass and bioenergy,positioning it strategically for renewable energy deployment.The result demonstrated that integrating renewable energy can reduce greenhouse gas emissions,improve air quality,enhance energy security,and support rural development.Case studies from Kazakhstan,Uzbekistan,Kyrgyzstan,and Tajikistan showed measurable environmental and economic benefits.However,the large-scale use of renewable energy still faces numerous barriers,including outdated infrastructure,fragmented regulatory frameworks,limited investment,and shortages of technical expertise.Overcoming these obstacles requires institutional reform,stronger regional cooperation,and increasing engagement from international financial institutions and private investors.Modernizing grids,deploying storage systems,and investing in education,research,and innovation are critical for building human capacity in renewable energy sector.Accelerating the renewable energy transition is essential for Central Asia to meet climate goals,enhance environmental resilience,and ensure long-term socioeconomic development through innovation,investment,and regional collaboration.展开更多
Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future,which have a great impact on energy resources and efficiencies.Due to the ...Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future,which have a great impact on energy resources and efficiencies.Due to the emerging artificial intelligence and machine learning,traditional modeling techniques in these energy systems have met challenges in still leveraging physics model and first principle-based approaches.Moreover,with the rapid development of hardware and computing techniques,new modeling approaches for energy systems have become more and more important for system design,integration,analysis,control,and management.展开更多
In order to address environmental pollution and resource depletion caused by traditional power generation,this paper proposes an adaptive iterative dynamic-balance optimization algorithm that integrates the Improved D...In order to address environmental pollution and resource depletion caused by traditional power generation,this paper proposes an adaptive iterative dynamic-balance optimization algorithm that integrates the Improved Dung Beetle Optimizer(IDBO)with VariationalMode Decomposition(VMD).The IDBO-VMD method is designed to enhance the accuracy and efficiency of wind-speed time-series decomposition and to effectively smooth photovoltaic power fluctuations.This study innovatively improves the traditional variational mode decomposition(VMD)algorithm,and significantly improves the accuracy and adaptive ability of signal decomposition by IDBO selfoptimization of key parameters K and a.On this basis,Fourier transform technology is used to define the boundary point between high frequency and low frequency signals,and a targeted energy distribution strategy is proposed:high frequency fluctuations are allocated to supercapacitors to quickly respond to transient power fluctuations;Lowfrequency components are distributed to lead-carbon batteries,optimizing long-term energy storage and scheduling efficiency.This strategy effectively improves the response speed and stability of the energy storage system.The experimental results demonstrate that the IDBO-VMD algorithm markedly outperforms traditional methods in both decomposition accuracy and computational efficiency.Specifically,it effectively reduces the charge–discharge frequency of the battery,prolongs battery life,and optimizes the operating ranges of the state-of-charge(SOC)for both leadcarbon batteries and supercapacitors.In addition,the energy management strategy based on the algorithm not only improves the overall energy utilization efficiency of the system,but also shows excellent performance in the dynamic management and intelligent scheduling of renewable energy generation.展开更多
Ambient energy harvesting from various renewable sources,including solar,thermal,wave,droplet,wind,and biomechanical energy,presents a promising solution for sustainable power generation and battery-free Internet of T...Ambient energy harvesting from various renewable sources,including solar,thermal,wave,droplet,wind,and biomechanical energy,presents a promising solution for sustainable power generation and battery-free Internet of Things networks.However,these technologies face significant challenges in energy conversion efficiency and device durability due to environmental factors such as surface contamination,moisture accumulation,and biofouling.Superhydrophobic surfaces address these limitations through their unique properties of self-cleaning,water-repellent,and anti-bacterial,significantly enhancing energy harvesting performance and reliability.This review systematically summarizes recent advances in superhydrophobic surface-enhanced energy harvesting devices based on various mechanisms,including photovoltaics,electromagnetism,piezoelectricity,triboelectricity,thermoelectricity,and electrical double-layer dynamics.We first provide an updated overview of superhydrophobic surfaces,including their design strategies and fabrication methods.Then,we offer a comprehensive summary of their role in optimizing various energy harvesting devices.Finally,we discuss prospective challenges,potential solutions,and recommendations for future developments within this emerging interdisciplinary field.展开更多
High-entropy layered hydroxides(HELHs),an emerging frontier in entropy-stabilized materials derived from layered double hydroxides(LDHs),have captivated attention with their unparalleled tunability,thermodynamic stabi...High-entropy layered hydroxides(HELHs),an emerging frontier in entropy-stabilized materials derived from layered double hydroxides(LDHs),have captivated attention with their unparalleled tunability,thermodynamic stability,and electrochemical performance.The integration of the high-entropy concept into LDHs empowers HELHs to surmount the constraints of conventional materials through compositional diversity,structurally disordered configurations,and synergistic multi-element interactions.This review systematically embarks on their synthesis methodologies,functional mechanisms,and applications in energy conversion/storage and biomedicine.Advanced synthesis strategies,such as plasma-assisted hydrothermal methods,facilitate precise control over HELH architectures while supporting scalable production.HELHs demonstrate superior electrochemical performance in critical reactions,including oxygen evolution reaction,water oxidation,hydrogen evolution,and glucose electrooxidation.Future directions encompass integrating in situ characterization with simulations,leveraging machine learning for composition screening,and expanding HELHs application through interdisciplinary collaborations.This work establishes a comprehensive roadmap for advancing HELHs as next-generation multifunctional platforms for sustainable energy and biomedical technologies.展开更多
The rapid advancement of wearable electronic devices has paved the way for a more intelligent and interconnected world.However,ensuring the sustainable energy supply for these devices remains a critical challenge,part...The rapid advancement of wearable electronic devices has paved the way for a more intelligent and interconnected world.However,ensuring the sustainable energy supply for these devices remains a critical challenge,particularly for specialized populations and professionals in demanding environments,where a lack of power can pose life-threatening risks.Herein,we propose a mechanically intelligent biomechanical energy harvesting approach that adapts to complex human motion excitations,thereby improving the energy harvesting performance.Leveraging a mechanical intelligence mechanism,the energy harvester aligns with human physiological habits,selectively activating or deactivating as needed.The system can also adapt to excitations of varying directions,amplitudes,and frequencies.Furthermore,the string tension helps reduce the impact forces on the knee joint during foot strikes.A theoretical model for the biomechanical energy harvesting system is developed to describe its dynamic and electrical characteristics,and a prototype is fabricated and tested under diverse conditions.The experimental results are in good agreement with the simulation trends,validating the effectiveness of the theoretical model.A test subject running at 8 km/h for 90 seconds can successfully power a smartphone for 20 seconds,demonstrating the viability of self-powered applications.This mechanically intelligent biomechanical energy harvesting method holds a promising solution for the sustainable power supply for wearable electronic devices.展开更多
Soil organic matter(SOM)is crucial for ecosystem carbon cycling,soil fertility,and environmental quality.As the main component of SOM,humic substances(HS)are considered a unique category of nonuniformly assembled subs...Soil organic matter(SOM)is crucial for ecosystem carbon cycling,soil fertility,and environmental quality.As the main component of SOM,humic substances(HS)are considered a unique category of nonuniformly assembled substances.展开更多
文摘An improved method is proposed for the extraction of the symmetry energy coefficient relative to the temperature,a_(sym)/T,in the heavy-ion reactions near the Fermi energy region,based on the modified Fisher Model.This method is applied to the primary fragments of antisymmetrized molecular dynamics(AMD)simulations for ^(46)Fe+^(46)Fe,^(40)Ca+^(40)Ca and ^(48)Ca+^(48)Ca at 35 MeV/nucleon,in order to make direct comparison to the results from the K(N,Z)method of Ono et al.In our improved method,the extracted values of a_(sym)/T increase as the size of isotopes increases whereas,in the K(N,Z)method,the results show rather constant behavior.This increase in our result is attributed to the surface contribution of the symmetry energy in finite nuclei.In order to evaluate the surface contribution,the relation a_(sym)/T=[a_(sym)^((V))(1-k_(S/V) A^(-1/3))]/T is applied and k_(S/V)=1.20~1.25 was extracted.This value is smaller than those extracted from the mass table,reflecting the weakened surface contribution at higher temperature regime.Δμ/T,the difference of the neutron-proton chemical potentials relative to the temperature,is also extracted in this method at the same time.The average values of the extractedΔμ/T,Δμ/T show a linear dependence on the proton-neutron a_(sym)metry parameter of the system,δ_(sys),andΔμ/T=(15.1±0.2)δ_(sys)-(0.5±0.1)is obtained.
文摘Complex Field Theory (CFT) proposes that dark matter (DM) and dark energy (DE) are pervasive, complex fields of charged complex masses of equally positive and negative complex charges, respectively. It proposes that each material object, including living creatures, is concomitant with a fraction of the charged complex masses of DM and DE in proportion to its mass. This perception provides new insights into the physics of nature and its constituents from subatomic to cosmic scales. This complex nature of DM and DE explains our inability to see DM or harvest DE for the last several decades. The positive complex DM is responsible for preserving the integrity of galaxies and all material systems. The negative complex charged DE induces a positive repelling force with the positively charged DM and contributes to the universe’s expansion. Both fields are Lorentz invariants in all directions and entangle the whole universe. The paper uses CFT to investigate zero-point energy, particle-wave duality, relativistic mass increase, and entanglement phenomenon and unifies Coulomb’s and Newton’s laws. The paper also verifies the existence of tachyons and explains the spooky action of quantum mechanics at a distance. The paper encourages further research into how CFT might resolve several physical mysteries in physics.
基金supported by the Guangdong Basic and Applied Basic Research Foundation(grant No.2024A1515012573)National key R&D Program of China(grant No.2020YFC2201600)+1 种基金National Natural Science Foundation of China(NSFC,grant No.12073088)National SKA Program of China(grant No.2020SKA0110402)。
文摘While cold dark matter is widely supported by a range of cosmological observations,it encounters several difficulties at smaller scales.These issues have prompted the investigation of various alternative dark matter candidates,leaving the question“What is dark matter?”still open.In this work,we propose a new cosmological model that considers dark matter as a barotropic fluid with a constant equation of state parameter and interprets dark energy as the phenomenological emergent dark energy rather than a cosmological constant.We then place constraints on our new model using the Planck 2018 Cosmic Microwave Background(CMB)anisotropy measurements,Baryon Acoustic Oscillation measurements from the Dark Energy Spectroscopic Instrument(DESI),the Pantheon Plus(PP)compilation of Type Ia supernovae,and the Redshift Space Distortions(RSD)data from Gold 2018.The results show statistically significant signal for positive dark matter equation of state and square of sound speed w_(dm)=c_(s,dm)^(2)(10^(7) w_(dm)=4.0_(-2.3)^(+2.5)at the 95%confidence level)for the data combination CMB+DESI+PP+RSD.However,Bayesian evidence indicates that this data combination favors theΛCDM model with very strong evidence.
文摘Cameroon’s capital Yaoundécame alive on 16 and 17 July as it hosted a major international gathering for the liquefied natural gas(LNG)sector.The event brought together over 1,000 industry professionals and 50 exhibitors from more than 30 countries including China to address the future of cleaner and more inclusive energy.
基金National Natural Science Foundation of China(12125509,11961141003,12275361,U2267205,12175152,12175121)National Key Research and Development Project(2022YFA1602301)Continuous-support Basic Scientific Research Project。
文摘To generate a neutron beam exhibiting a Maxwellian energy distribution with narrow emission angles for measuring the neutron capture reaction rates of the s-process nuclides,a monoenergetic 3.4 MeV proton beam produced by the tandem-accelerator in the China Institute of Atomic Energy was utilized.The proton beam was first transmitted through a 60.5μm aluminum foil and then impinged on a natural LiF target to produce neutron beam via^(7)Li(p,n)7Be reaction.The quasi-Gaussian energy distribution of protons in the LiF target resulted in neutron energy spectra that agreed with a Maxwellian energy distribution at kT=(22±2)keV,which was achieved by integrating neutrons detected within an emission angle of 65.0°±2.6°using a ^(6)Li glass detector positioned at 65°relative to the proton beam direction.The narrow angular spread of the Maxwelliandistributed neutron beam enables direct measurement of neutron capture cross-sections for most s-process nuclides,overcoming previous experimental limitations associated with broad angular distributions.
文摘The article contains an error regarding the electron spectra displayed in Figs.4 and 5 and the data extracted from these spectra.The measurements were made with the SESAME magnetic spectrometer,the working principle of which is recalled in Fig.1.Specifically,a magnetic dipole is used to separate charged particles(electrons in the case of this experiment)depending on their energy,charge and mass.The deflected particles then hit an imaging plate(IP)and deposit energy in its sensitive layer.The kinetic energy of the particles can be evaluated from their impact position on the IP and their number can be inferred from the local energy deposition.
基金supported by the Guangdong Basic and Applied Basic Research Foundation,No.2023A1515030045(to HS)Presidential Foundation of Zhujiang Hospital of Southern Medical University,No.yzjj2022ms4(to HS)。
文摘Intracerebral hemorrhage is the most dangerous subtype of stroke,characterized by high mortality and morbidity rates,and frequently leads to significant secondary white matter injury.In recent decades,studies have revealed that gut microbiota can communicate bidirectionally with the brain through the gut microbiota–brain axis.This axis indicates that gut microbiota is closely related to the development and prognosis of intracerebral hemorrhage and its associated secondary white matter injury.The NACHT,LRR,and pyrin domain-containing protein 3(NLRP3)inflammasome plays a crucial role in this context.This review summarizes the dysbiosis of gut microbiota following intracerebral hemorrhage and explores the mechanisms by which this imbalance may promote the activation of the NLRP3 inflammasome.These mechanisms include metabolic pathways(involving short-chain fatty acids,lipopolysaccharides,lactic acid,bile acids,trimethylamine-N-oxide,and tryptophan),neural pathways(such as the vagus nerve and sympathetic nerve),and immune pathways(involving microglia and T cells).We then discuss the relationship between the activated NLRP3 inflammasome and secondary white matter injury after intracerebral hemorrhage.The activation of the NLRP3 inflammasome can exacerbate secondary white matter injury by disrupting the blood–brain barrier,inducing neuroinflammation,and interfering with nerve regeneration.Finally,we outline potential treatment strategies for intracerebral hemorrhage and its secondary white matter injury.Our review highlights the critical role of the gut microbiota–brain axis and the NLRP3 inflammasome in white matter injury following intracerebral hemorrhage,paving the way for exploring potential therapeutic approaches.
基金supported by grants from the Applied Basic Research Foundation of Yunnan Province(202301AT070095)the Candidate Talents Training Fund of Yunnan Province(H-2024069)。
文摘As oncologic therapies continue to advance,the overall survival of cancer patients has markedly increased.Nevertheless,virtually every anticancer treatment modality is accompanied by some degree of cardiotoxicity.Epidemiological data indicate that approximately 30%of cancer survivors ultimately die from cardiovascular disease.Among the cardiotoxic agents,the anthracycline doxorubicin(DOX)is the most widely used.It effectively suppresses a variety of malignant tumors——including breast cancer,lymphoma,and acute leukemia——but its cardiac toxicity limits further escalation of clinical dosing.Literature reports identify a cumulative dose of≥250 mg/m²as the threshold of high risk,with roughly 25%of patients receiving DOX developing varying degrees of myocardial injury;severe cases progress to heart failure.Even at cumulative doses below the traditional safety limit,some patients exhibit cardiac dysfunction after the first administration,suggesting that cardiotoxicity is not solely a linear function of dose.DOX related cardiotoxicity can be classified as acute(hours to days after administration),sub acute(weeks to months),and chronic/late onset(years later).Most patients initially exhibit only mild reductions in left ventricular ejection fraction(LVEF)or subtle abnormalities in global longitudinal strain(GLS),often without symptoms.Recently,cardiac biomarkers(cTn,NT proBNP)combined with high sensitivity echocardiography(speckle tracking)have been recommended for monitoring high risk individuals,enabling detection of subclinical injury before overt LVEF decline.Currently,several preventive and therapeutic approaches are used in clinical practice,which can be summarized into the following four points.(1)Dose limitation and administration strategies:fractionated low dose regimens,liposomal encapsulation,or continuous infusion lower peak plasma concentrations,thereby reducing cardiac exposure.(2)Pharmacologic prophylaxis:βblockers(e.g.,carvedilol)and ACE inhibitors/ARBs have shown protective effects on LVEF in some randomized trials,though results remain inconsistent and require larger confirmatory studies.(3)Metabolic targeted interventions:animal experiments indicate that activation of PPARαor supplementation with L carnitine restores fatty acid oxidation and improves ATP generation,suggesting metabolic modulators as promising cardioprotective candidates.(4)Lifestyle modifications:regular aerobic exercise up regulates mitochondrial biogenesis genes(PGC-1α)and reduces reactive oxygen species(ROS)production;small clinical studies have demonstrated a potential benefit in attenuating cTnT elevation.However,DOX-induced cardiotoxicity has not been effectively controlled,indicating that the core mechanism underlying DOX‑related cardiac toxicity remains unidentified.Cardiomyocytes are high energy demand cells,and metabolic dysregulation is considered a central component of DOX induced cardiotoxicity.DOX disrupts myocardial metabolic balance through several interrelated pathways.(1)Oxidative stress and mitochondrial damage:DOX generates abundant ROS within cells,leading to mitochondrial membrane potential loss,lipid peroxidation,and iron accumulation,which suppress electron transport chain activity and markedly reduce ATP synthesis efficiency.(2)Autophagy dysregulation:DOX interferes with autophagic flux,preventing the clearance of damaged mitochondria and further aggravating apoptosis and inflammatory responses.(3)Inflammation and cytokine release:oxidative stress activates NF‑κB,up-regulating pro inflammatory cytokines such as TNF‑αand IL-6,creating a chronic inflammatory microenvironment that weakens myocardial contractility.(4)Epigenetic modifications:studies have shown that DOX alters DNA methylation and histone acetylation patterns in cardiomyocytes,affecting the expression of key metabolic genes(e.g.,PGC-1α,CPT-1)and further inhibiting fatty acidβoxidation.These mechanisms collectively lead to suppressed fatty acid oxidation and compensatory up regulation of glycolysis,manifested by an elevated lactate/pyruvate ratio,accumulation of medium chain acyl carnitines,and a pronounced decline in ATP production.The resulting energy deficit precipitates left ventricular contractile dysfunction and,ultimately,heart failure.Despite extensive basic and clinical research on DOX cardiotoxicity,a unified risk assessment model and precise interventions targeting metabolic disturbances remain lacking.This review systematically summarizes recent progress on DOX induced cardiotoxicity and highlights that impairment of myocardial energy metabolism is a central mechanism of injury,thereby deepened our understanding of how impaired myocardial energy metabolism drives DOX induced injury,we can move toward safer chemotherapy protocols that achieve“cure cancer without harming the heart”.
文摘Ultrafast optical spectroscopy was successfully introduced decades ago.Its deep relationship with condensed matter physics profoundly enriched the scientific frontier of light–matter interactions.Previously,materials such as metals,insulators,semiconductors,and superconductors were investigated,followed by magnetic materials,strongly correlated materials,complex oxides,nano-materials,topological materials,and metamaterials.
基金supported by the National Natural Science Foundation of China(No.U2433214)。
文摘Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptions due to its subtropical monsoon climate,including typhoons and gusty winds,present ongoing challenges.Despite the growing focus on operational costs and third-party risks,research on low-altitude urban wind fields remains scarce.This study addresses this gap by integrating wind field analysis into UAV path planning,introducing key innovations to the classical model.First,UAV wind resistance and turbulence constraints are analyzed,mapping high-wind-speed and turbulence-prone zones in the airspace.Second,wind dynamics are incorporated into path planning by considering airspeed and groundspeed variation,optimizing waypoint selection and flight speed adjustments to improve overall energy efficiency.Additionally,a wind-aware Theta*algorithm is proposed,leveraging wind vectors to expedite search process,while Computational Fluid Dynamics(CFD)techniques are employed to calculate wind fields.A case study of Shenzhen,examining wind patterns over the past decade,demonstrates a 6.23%improvement in groundspeed and a 7.69%reduction in energy consumption compared to wind-agnostic models.This framework advances UAV logistics by enhancing route safety and energy efficiency,contributing to more cost-effective operations.
基金supported by the National Natural Science Foundation of China“Quantitative characterization of lacustrine shale oil mobility based on nano-scale oil-rock interactions”(No.42172180)Science and Technology Research Project for the China National Petroleum Corporation“Source-reservoir characteristics and sweet spot evaluation for terrestrial shale oil in China”(No.2021DJ1802)。
文摘0 INTRODUCTION Throughout human history,three major energy transitions have occurred:from burning wood in primitive times to using coal in 18th Century,then to oil and gas in 20th Century,and to the renewable energy revolution in the 21st Century(Zou et al.,2023).The three transitions have three characteristics in common:shifted from nonrenewable to renewable energy,from“resource-centric”to a“technology-centric”,and from“high-carbon fossil”to“net-zero”.
文摘Siemens and Yangpu Economic Development Zone in Hainan have forged a close partnership in a journey towards green energy transition.SIEMENS Energy,one of the world’s leading energy technology companies,became the first foreign-funded manufacturer to establish a branch and began construction of a gas turbine assembly base and service center in Hainan on December 18,2025.
文摘This study examined the role of green energy development in mitigating climate change and fostering sustainable development in Central Asia including Kazakhstan,Uzbekistan,Kyrgyzstan,Tajikistan,and Turkmenistan.The region has substantial untapped potential in solar energy,wind energy,hydropower energy,as well as biomass and bioenergy,positioning it strategically for renewable energy deployment.The result demonstrated that integrating renewable energy can reduce greenhouse gas emissions,improve air quality,enhance energy security,and support rural development.Case studies from Kazakhstan,Uzbekistan,Kyrgyzstan,and Tajikistan showed measurable environmental and economic benefits.However,the large-scale use of renewable energy still faces numerous barriers,including outdated infrastructure,fragmented regulatory frameworks,limited investment,and shortages of technical expertise.Overcoming these obstacles requires institutional reform,stronger regional cooperation,and increasing engagement from international financial institutions and private investors.Modernizing grids,deploying storage systems,and investing in education,research,and innovation are critical for building human capacity in renewable energy sector.Accelerating the renewable energy transition is essential for Central Asia to meet climate goals,enhance environmental resilience,and ensure long-term socioeconomic development through innovation,investment,and regional collaboration.
基金supported by the Ministry of Industry and Information Technology,China,the Science Foundation of the Ministry of Education of China(No.21YJC630072)the Key Talent Project of the Yan Zhao Golden Platform for Talent Attraction in Hebei Province,China(No.HJYB202528).
文摘Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future,which have a great impact on energy resources and efficiencies.Due to the emerging artificial intelligence and machine learning,traditional modeling techniques in these energy systems have met challenges in still leveraging physics model and first principle-based approaches.Moreover,with the rapid development of hardware and computing techniques,new modeling approaches for energy systems have become more and more important for system design,integration,analysis,control,and management.
基金funded by the Institute of Smart Energy,Huaiyin Institute of Technology,under Grant No.HIT-ISE-2024-07.
文摘In order to address environmental pollution and resource depletion caused by traditional power generation,this paper proposes an adaptive iterative dynamic-balance optimization algorithm that integrates the Improved Dung Beetle Optimizer(IDBO)with VariationalMode Decomposition(VMD).The IDBO-VMD method is designed to enhance the accuracy and efficiency of wind-speed time-series decomposition and to effectively smooth photovoltaic power fluctuations.This study innovatively improves the traditional variational mode decomposition(VMD)algorithm,and significantly improves the accuracy and adaptive ability of signal decomposition by IDBO selfoptimization of key parameters K and a.On this basis,Fourier transform technology is used to define the boundary point between high frequency and low frequency signals,and a targeted energy distribution strategy is proposed:high frequency fluctuations are allocated to supercapacitors to quickly respond to transient power fluctuations;Lowfrequency components are distributed to lead-carbon batteries,optimizing long-term energy storage and scheduling efficiency.This strategy effectively improves the response speed and stability of the energy storage system.The experimental results demonstrate that the IDBO-VMD algorithm markedly outperforms traditional methods in both decomposition accuracy and computational efficiency.Specifically,it effectively reduces the charge–discharge frequency of the battery,prolongs battery life,and optimizes the operating ranges of the state-of-charge(SOC)for both leadcarbon batteries and supercapacitors.In addition,the energy management strategy based on the algorithm not only improves the overall energy utilization efficiency of the system,but also shows excellent performance in the dynamic management and intelligent scheduling of renewable energy generation.
基金supported by the National Natural Science Foundation of China(62404081)Guangdong Basic and Applied Basic Research Foundation(2024A1515011907)Xiaomi Young Talents Program.
文摘Ambient energy harvesting from various renewable sources,including solar,thermal,wave,droplet,wind,and biomechanical energy,presents a promising solution for sustainable power generation and battery-free Internet of Things networks.However,these technologies face significant challenges in energy conversion efficiency and device durability due to environmental factors such as surface contamination,moisture accumulation,and biofouling.Superhydrophobic surfaces address these limitations through their unique properties of self-cleaning,water-repellent,and anti-bacterial,significantly enhancing energy harvesting performance and reliability.This review systematically summarizes recent advances in superhydrophobic surface-enhanced energy harvesting devices based on various mechanisms,including photovoltaics,electromagnetism,piezoelectricity,triboelectricity,thermoelectricity,and electrical double-layer dynamics.We first provide an updated overview of superhydrophobic surfaces,including their design strategies and fabrication methods.Then,we offer a comprehensive summary of their role in optimizing various energy harvesting devices.Finally,we discuss prospective challenges,potential solutions,and recommendations for future developments within this emerging interdisciplinary field.
基金the financial support by Advanced Materials-National Science and Technology Major Project(2024ZD0607400)the National Natural Science Foundation of China(No.52402305)+4 种基金the high-level innovation and entrepreneurship talent project of Qinchuangyuan(No.QCYRCXM-2023-084)the Postdoctoral Fellowship Program of CPSF under Grant Number GZB20230570 and 2024M752552Key projects of Shaanxi Province,China(2023GXLH-001)Natural Science Basic Research Program of Shaanxi(Program No.2024JCYBQN-0494,No.2022TD-27)the State Key Laboratory for Electrical Insulation and Power Equipment(No.EIPE23125)。
文摘High-entropy layered hydroxides(HELHs),an emerging frontier in entropy-stabilized materials derived from layered double hydroxides(LDHs),have captivated attention with their unparalleled tunability,thermodynamic stability,and electrochemical performance.The integration of the high-entropy concept into LDHs empowers HELHs to surmount the constraints of conventional materials through compositional diversity,structurally disordered configurations,and synergistic multi-element interactions.This review systematically embarks on their synthesis methodologies,functional mechanisms,and applications in energy conversion/storage and biomedicine.Advanced synthesis strategies,such as plasma-assisted hydrothermal methods,facilitate precise control over HELH architectures while supporting scalable production.HELHs demonstrate superior electrochemical performance in critical reactions,including oxygen evolution reaction,water oxidation,hydrogen evolution,and glucose electrooxidation.Future directions encompass integrating in situ characterization with simulations,leveraging machine learning for composition screening,and expanding HELHs application through interdisciplinary collaborations.This work establishes a comprehensive roadmap for advancing HELHs as next-generation multifunctional platforms for sustainable energy and biomedical technologies.
基金Project supported by the National Natural Science Foundation of China(Nos.12202262,12172127,12032015,and 12121002)the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology(No.2023QNRC001)the Hunan Province Science and Technology Innovation Program of China(Nos.2025JJ20012 and 2025RC4022)。
文摘The rapid advancement of wearable electronic devices has paved the way for a more intelligent and interconnected world.However,ensuring the sustainable energy supply for these devices remains a critical challenge,particularly for specialized populations and professionals in demanding environments,where a lack of power can pose life-threatening risks.Herein,we propose a mechanically intelligent biomechanical energy harvesting approach that adapts to complex human motion excitations,thereby improving the energy harvesting performance.Leveraging a mechanical intelligence mechanism,the energy harvester aligns with human physiological habits,selectively activating or deactivating as needed.The system can also adapt to excitations of varying directions,amplitudes,and frequencies.Furthermore,the string tension helps reduce the impact forces on the knee joint during foot strikes.A theoretical model for the biomechanical energy harvesting system is developed to describe its dynamic and electrical characteristics,and a prototype is fabricated and tested under diverse conditions.The experimental results are in good agreement with the simulation trends,validating the effectiveness of the theoretical model.A test subject running at 8 km/h for 90 seconds can successfully power a smartphone for 20 seconds,demonstrating the viability of self-powered applications.This mechanically intelligent biomechanical energy harvesting method holds a promising solution for the sustainable power supply for wearable electronic devices.
基金financial support from the National Key Research and Development Program of China(No.2022YFD1500304)the Postdoctoral Fellowship Program of CPSF,China(No.GZC20232641)the Postdoctoral Science Foundation of China(No.2024M753215)。
文摘Soil organic matter(SOM)is crucial for ecosystem carbon cycling,soil fertility,and environmental quality.As the main component of SOM,humic substances(HS)are considered a unique category of nonuniformly assembled substances.
