Star-shaped six-arm polymers with hexaaza[2_(6)]orthoparacyclophane core and arms of block copolymers of poly-2-ethyl-5,6-dihydrooxazine with poly-2-isopropyl-5,6-dihydrooxazine were synthesized successfully using cat...Star-shaped six-arm polymers with hexaaza[2_(6)]orthoparacyclophane core and arms of block copolymers of poly-2-ethyl-5,6-dihydrooxazine with poly-2-isopropyl-5,6-dihydrooxazine were synthesized successfully using cationic ring-opening polymerization.The ratio of blocks,the order of their attachment to the core,and arm length were varied.Conformation of synthesized stars was determined by methods of molecular hydrodynamics and optics.It has been shown that star-shaped molecules were characterized by high intramolecular density,and the arm folding increased with their lengthening.The influence of the structure of block copolymers and their molar mass on the critical micelle concentration has been established.Complexes of synthesized star-shaped block copolymers with curcumin were obtained and the efficient binding of curcumin to polymer molecules was demonstrated.The behavior of the aqueous solutions of the prepared polymer stars and their complexes with curcumin was investigated by light scattering and turbidimetry methods.The influence of the structure and molar mass of star polymers on their thermoresponsiveness and the phase separation temperatures in aqueous solutions was analyzed.A slight increase in the phase separation temperature was found on passage from polymer solutions to solutions of polymer complexes with hydrophobic curcumin.展开更多
The development of polymeric materials that exhibit blue thermally activated delayed fluorescence(TADF)is of great interest for optoelectronic applications.However,achieving TADF in polymers often requires an elaborat...The development of polymeric materials that exhibit blue thermally activated delayed fluorescence(TADF)is of great interest for optoelectronic applications.However,achieving TADF in polymers often requires an elaborate monomer design.The high-energy local triplet state(^(3)LE)of carbazole complicates its application despite the molecular orbital arrangement being suitable for blue emission.Here,we present an approach to polymer design that makes it possible to solve this problem.We demonstrate the in situ formation of a TADF donor-acceptor system during Suzuki polycondensation,creating an extended carbazole-based donor matrix coupled with a triazine acceptor.The resulting polymer exhibited efficient TADF with a low energy gap(ΔE_(ST))value if a phenyl N-substituent,enabling essential electron delocalization,was present in the carbazole moiety.This work establishes a versatile platform for developing carbazole-based TADF polymers,overcoming the fundamental limitations that hinder their widespread application.展开更多
The buckling behavior of stiffened panels is significantly influenced by material and geometric defects,making it a critical factor in ensuring structural integrity and safety.These panels are widely used in mechanica...The buckling behavior of stiffened panels is significantly influenced by material and geometric defects,making it a critical factor in ensuring structural integrity and safety.These panels are widely used in mechanical,aerospace,marine,and civil engineering applications due to their ability to enhance bending stiffness with minimal additional weight.Under high loads or stress concentrations,localized structural failures can initiate global buckling in stiffened panels.This study investigates how such defects affect the critical buckling load,stiffness,and thickness of stiffened panels.Two finite element analyses were conducted:a linear analysis to identify the initial buckling mode and a nonlinear analysis using the Riks algorithm in Abaqus CAE,incorporating localized imperfections.The simulations show that material and geometric defects can reduce buckling resistance depending on their severity.展开更多
BACKGROUND Solid pseudopapillary neoplasm(SPN)of the pancreas is a rare epithelial tumor that primarily affects young women.Since the condition is often asymptomatic or presents with non-specific symptoms,its diagnosi...BACKGROUND Solid pseudopapillary neoplasm(SPN)of the pancreas is a rare epithelial tumor that primarily affects young women.Since the condition is often asymptomatic or presents with non-specific symptoms,its diagnosis can be difficult.CASE SUMMARY This report details the case of a 15-year-old girl who presented with a 2-year history of abdominal pain,with no significant findings during physical examination.Abdominal ultrasound revealed a well-defined heterogeneous solidcystic mass in the epigastric region,likely originating from the tail of the pancreas.A subsequent contrast-enhanced computed tomography scan indicated a welldefined cystic lesion with an enhancing solid component and capsule in the tail of the pancreas,suggestive of a cystic neoplasm.The patient underwent an open distal pancreatectomy with splenectomy,and histopathological analysis confirmed the diagnosis of SPN of the pancreas.CONCLUSION This case highlights the risk of SPN in adolescent girls and the necessity of early diagnosis and intervention for better outcomes.展开更多
A conventional solid-state process was used to synthesize the double perovskite materials HoRCoMnO_(6)(R=Ho,Gd,Eu,Nd).The structural properties of the compounds were investigated using X-ray powder diffraction(XRD).Th...A conventional solid-state process was used to synthesize the double perovskite materials HoRCoMnO_(6)(R=Ho,Gd,Eu,Nd).The structural properties of the compounds were investigated using X-ray powder diffraction(XRD).The results revealed that Ho_(2)CoMnO_(6) crystallizes in a monoclinic structure with the P2_(1)/n space group.In contrast,the other compounds HoRCoMnO_(6)(R=Gd,Eu,or Nd) exhibit an orthorhombic structure with the Pnma space group.As a result,the average crystallite size also changes as a function of rare-earth element doping.This investigation reveals that the magnetic properties of the compounds studied are significantly dependent on the doping elements.The Curie temperature T_C,for example,increases from 80 to 118℃ with the ionic radii of rare earths increasing.Furthermore,the study of the magnetocaloric effect(MCE) shows that the maximum of the entropy variation(-ΔS_(M)^(max)) increases from 4.97 to 6.06 J/(kg·K) under a magnetic field of 5 T with substitution by rare-earth ions.To examine the efficiency of MCE materials,the relative cooling power(RCP) was evaluated and is found to increase with increment of rare-earth radius till 406.69 J/kg for Nd.The mean entropy variation with tempe rature(TEC) was also studied.Due to their significant magnetocaloric performance,HoRCoMnO_(6)(noted as HRCMO) compounds(with R=Ho,Gd,Eu or Nd) could be good candidates for low-temperature magnetic cooling applications.展开更多
This study investigates the physical properties of the rare earth XFes(X=Sm,Dy,or Nd)materials.Our analysis encompasses these compounds'structural,electronic,thermodynamic,and optical characteristics using density...This study investigates the physical properties of the rare earth XFes(X=Sm,Dy,or Nd)materials.Our analysis encompasses these compounds'structural,electronic,thermodynamic,and optical characteristics using density functional theory(DFT)as implemented in the Wien2k software package.The GGA+SOC+U method was employed to determine the exchange-correlation potential.Our results show that the XFes materials exhibit metallic behavior and exhibit ferromagnetic(FM)phases.Notably,our optical analysis reveals a strong absorption response in the UV region,with characteristic absorption curves and peak intensities varying across the different materials.We also investigated the thermodynamic properties of the materials,finding that the entropy increases exponentially with temperature as the materials transition from a ground state to a more disordered and amorphous state.Our thermodynamic results show that the Debye temperature decreases for all three materials,with DyFes exhibiting the highest Debye temperature at 0 K(307 K),followed by NdFes(298 K),and then SmFes(288 K).This indicates that each material has a unique thermal energy barrier to overcome before vibrations occur.As the temperature increases,the Debye temperature decreases,reflecting a decrease in the thermal energy required to induce vibrations.The differences in Debye temperature values between the three materials may suggest differences in their lattice structures or phonon properties,highlighting the importance of understanding these thermal properties for developing new materials and technologies.展开更多
In this paper,we give some properties for the so-calledε-pseudo weakly demicompact linear operators acting on Banach spaces with respect to a closed linear operator.Some sufficient conditions on the entries of an unb...In this paper,we give some properties for the so-calledε-pseudo weakly demicompact linear operators acting on Banach spaces with respect to a closed linear operator.Some sufficient conditions on the entries of an unbounded 2×2 block operator matrix L_(0)ensuring itsε-pseudo weak demicompactness are provided.In addition,we apply the obtained results to discuss the incidence of some perturbation results on the behavior of essential pseudospectra of L_(0).The results are formulated in terms of some denseness conditions on the topological dual space.展开更多
In this study,the polyurethanes(PU)were synthesized from 4,4′-methylene diphenyl diisocyanate and biobased ethoxylated castor oil or one to one mixture of ethoxylated and neat castor oil by direct mixing method.Utili...In this study,the polyurethanes(PU)were synthesized from 4,4′-methylene diphenyl diisocyanate and biobased ethoxylated castor oil or one to one mixture of ethoxylated and neat castor oil by direct mixing method.Utilization of ethoxylated castor oil increases tensile strength of PU up to 2.75 times(from3.2 to 8.8MPa),compared to PU based on neat castor oil.The PU composites filed with birch flour,diatomite and their mixture were prepared using home-made dissolver with cutter-shaped attachment at the speed of 1500 min−1.The tensile strength of PU composites filled with birch flour increases up to two time at loading 5–30 wt.%.Application of combined birch flour/diatomite additives has similar effect.The tensile strength of PU composites based on one to one mixture of ethoxylated and neat castor oil and filled with birch flour or combined birch flour/diatomite additives increases sharply up to 16–17 fold(up to 18.1 MPa).The birch flour and diatomite wellsoaked polymer matrix.The main factor determining mechanical performance is the morphology of PU samples and composites.Formation of ordered lamella-like structure of amorphous phase of PU matrix leads to an increase in mechanical performance and glass transition temperatures.Formation of disordered unstructured soft phase of starting PU leads to a decline of these functional properties.展开更多
We explored a distinct mechanism for matter creation via electron-positron pair production during bound-bound transitions in the deexcitation of muonic atoms.For ions with nuclear charges Z≥24,transitions from low-ly...We explored a distinct mechanism for matter creation via electron-positron pair production during bound-bound transitions in the deexcitation of muonic atoms.For ions with nuclear charges Z≥24,transitions from low-lying excited states to the 1s-muon state can lead to the production of electron-positron pairs.We show that the Breit interaction determines the transition probabilities for states with nonzero orbital momentum.We show that the pair production arises mainly from the decay of the 2p states.Thus,the Breit interaction governs electron-positron pair production in bound-bound muon transitions.This process offers a unique opportunity to explore quantum electrodynamics in strong fields,as well as a class of nonradiative transitions involving electron-positron pair production.展开更多
In this paper,we introduce a qualitative analysis in order to study the monotonicity and comparability properties of a single-server retrial queueing model with Bernoulli feedback and negative customers,relative to st...In this paper,we introduce a qualitative analysis in order to study the monotonicity and comparability properties of a single-server retrial queueing model with Bernoulli feedback and negative customers,relative to stochastic orderings.Performance measures of such a system are available explicitly,while their forms are cumbersome(these formulas include integrals of Laplace transform,solutions of functional equations,etc.).Therefore,they are not exploitable from the application point of view.To overcome these difficulties,we present stochastic comparison methods in order to get qualitative estimates of these measures.In particular,we prove the monotonicity of the transition operator of the embedded Markov chain.In addition,we establish conditions for which transition operators as well as stationary probabilities,associated with two embedded Markov chains,having the same structure but with different parameters,are comparable relative to the given stochastic orderings.Further,numerical examples are carried out to illustrate the theoretical results.展开更多
An efficient,simple,and convenient method for Suzuki polycondensation using a diaminocarbene palladium(Ⅱ)catalyst under aerobic conditions was developed.Reactions between aromatic diboronic acid bis(pinacol)ester and...An efficient,simple,and convenient method for Suzuki polycondensation using a diaminocarbene palladium(Ⅱ)catalyst under aerobic conditions was developed.Reactions between aromatic diboronic acid bis(pinacol)ester and different aromatic dibromides,both with electrondonating and electron-withdrawing fragments in the structure,were carried out.Various reaction conditions,such as the effect of catalyst concentration and solvent,were investigated.The molecular weight characteristics,photo-and electroluminescence properties of the synthesized polymers were studied.展开更多
This paper addresses the evolution problem governed by the fractional sweeping process with prox-regular nonconvex constraints.The values of the moving set are time and state-dependent.The aim is to illustrate how a f...This paper addresses the evolution problem governed by the fractional sweeping process with prox-regular nonconvex constraints.The values of the moving set are time and state-dependent.The aim is to illustrate how a fixed point method can establish an existence theorem for this fractional nonlinear evolution problem.By combining Schauder’s fixed point theorem with a well-posedness theorem when the set C is independent of the state u(i.e.C:=C(t),as presented in[22,23]),we prove the existence of a solution to our quasi-variational fractional sweeping process in infinite-dimensional Hilbert spaces.Similar to the conventional state-dependent sweeping process,achieving this result requires a condition on the size of the Lipschitz constant of the moving set relative to the state.展开更多
This study evaluates the impact of heavy metals(zinc,copper and cadmium)on the development and metabolic responses of the maize(Zea mays)variety“Torro Plus”.Seeds were cultivated on MS medium enriched with progressi...This study evaluates the impact of heavy metals(zinc,copper and cadmium)on the development and metabolic responses of the maize(Zea mays)variety“Torro Plus”.Seeds were cultivated on MS medium enriched with progressively higher concentrations of heavy metals(50,100 and 150μM),and plants were analyzed after 21 days.The results show a significant reduction in morphological parameters,notably an 87.28%decrease in the fresh weight of aerial parts and a 69.93%decrease in the fresh weight of roots under 150μM of Cd.Chlorophyll a,b and total content also decreased drastically,reaching a maximum reduction of 74.31%under Cd(150μM).In contrast,secondary metabolites such as proline and flavonoids increased,with a maximum proline accumulation of 0.71 mg/g under Cu(150μM)and a flavonoid concentration reaching 176.33 mg/g under Cu(100μM).These results show mechanisms of adaptation to stress,notably the accumulation of flavonoids and proline,while highlighting the increased toxicity of cadmium at high doses.These data are promising for applications in phytoremediation and sustainable agriculture.This study provides important data on the physiological and biochemical responses of plants to heavy metals and opens up prospects for phytoremediation applications.展开更多
Fungal plant diseases are infections caused by pathogenic fungi that affect crops,ornamental plants,and trees.Symptoms of these diseases can include leaf spots,fruit rot,root rot,and generalized growth retardation.Fun...Fungal plant diseases are infections caused by pathogenic fungi that affect crops,ornamental plants,and trees.Symptoms of these diseases can include leaf spots,fruit rot,root rot,and generalized growth retardation.Fungal diseases can result in decreased quality and quantity of crops,which can have a negative economic impact on farmers and producers.Moreover,these diseases can cause environmental damage.Indeed,fungal diseases can directly affect crops by reducing plant growth and yield,as well as altering their quality and nutritional value.Although effective,the use of many chemical products is often harmful to health and the environment,and their use is increasingly restricted due to their high toxicity.To address this issue,it is becoming increasingly essential to replace these chemical products with products that respect the environment and human health,and for sustainable agriculture,such as regenerative agricultural practices.Regenerative agricultural practices such as crop rotation,intercropping,composting,and notill farming techniques can offer sustainable solutions for the prevention and control of plant fungal diseases.These regenratives approaches not only help to control fungal plant disease by strengthening plant disease resistance,but also significantly contribute to the improvement of sustainable agriculture,by restoring soil health,increasing biodiversity and reducing the use of harmful chemicals to the environment and human health in order to keep a long-termecosystem resilience,promote environmental sustainability,and support global food security.Using regenerative agricultural practices can provide a holistic and effective approach to controlling fungal plant diseases while improving the health and productivity of farming systems.展开更多
In recent years,the world has seen an exponential increase in energy demand,prompting scientists to look for innovative ways to exploit the power sun’s power.Solar energy technologies use the sun’s energy and light ...In recent years,the world has seen an exponential increase in energy demand,prompting scientists to look for innovative ways to exploit the power sun’s power.Solar energy technologies use the sun’s energy and light to provide heating,lighting,hot water,electricity and even cooling for homes,businesses,and industries.Therefore,ground-level solar radiation data is important for these applications.Thus,our work aims to use a mathematical modeling tool to predict solar irradiation.For this purpose,we are interested in the application of the Adaptive Neuro Fuzzy Inference System.Through this type of artificial neural system,10 models were developed,based on meteorological data such as the Day number(Nj),Ambient temperature(T),Relative Humidity(Hr),Wind speed(WS),Wind direction(WD),Declination(δ),Irradiation outside the atmosphere(Goh),Maximum temperature(Tmax),Minimum temperature(Tmin).These models have been tested by different static indicators to choose the most suitable one for the estimation of the daily global solar radiation.This study led us to choose the M8 model,which takes Nj,T,Hr,δ,Ws,Wd,G0,and S0 as input variables because it presents the best performance either in the learning phase(R^(2)=0.981,RMSE=0.107 kW/m^(2),MAE=0.089 kW/m2)or in the validation phase(R^(2)=0.979,RMSE=0.117 kW/m^(2),MAE=0.101 kW/m^(2)).展开更多
Maximizing the efficiency of thermal engineering equipment involves minimizing entropy generation,which arises from irreversible processes.This study examines thermal transport and entropy generation in viscous flow o...Maximizing the efficiency of thermal engineering equipment involves minimizing entropy generation,which arises from irreversible processes.This study examines thermal transport and entropy generation in viscous flow over a radially stretching disk,incorporating the effects of magnetohydrodynamics(MHD),viscous dissipation,Joule heating,and radiation.Similarity transformations are used to obtain dimensionless nonlinear ordinary differential equations(ODEs)from the governing coupled partial differential equations(PDEs).The converted equations are then solved by using the BVP4C solver in MATLAB.To validate the findings,the results are compared with previously published studies under fixed parameter conditions,demonstrating strong agreement.Various key parameters are analyzed graphically to assess their impact on velocity and temperature distributions.Additionally,Bejan number and entropy generation variations are presented for different physical parameters.The injection parameter(S<0)increases the heat transfer rate,while the suction parameter(S>0)reduces it,exhibiting similar effects on fluid velocity.The magnetic parameter(M)effectively decreases entropy generation within the range of approximately 0≤η≤0.6.Beyond this interval,its influence diminishes as entropy generation values converge,with similar trends observed for the Bejan number.Furthermore,increased thermal radiation intensity is identified as a critical factor in enhancing entropy generation and the Bejan number.展开更多
Two-and three-component deep eutectic solvents(DES)based on acrylic acid(AA),acrylamide(AAm),and choline chloride(ChCl)were used to disintegrate bacterial cellulose into cellulose nanofibers(CNF).As a result,polymeriz...Two-and three-component deep eutectic solvents(DES)based on acrylic acid(AA),acrylamide(AAm),and choline chloride(ChCl)were used to disintegrate bacterial cellulose into cellulose nanofibers(CNF).As a result,polymerizable precursors suitable for 3D printing with CNF as a rheology modifier and reinforcer with formation of interpenetrating double polymer network were obtained after UV curing.Composite hydrogels were formed by replacing ChCl with water.It was found that the introduction of amide groups into the acrylate polymer matrix resulted in an increase in compressive strength.The layered architecture of the 3D printed products provides greater mechanical strength compared to molded products.The structure of the composites was investigated using wide-angle X-ray scattering(WAXS),small-angle X-ray scattering(SAXS),atomic force microscopy(AFM)and polarized light microscopy.These studies suggest that the enhanced mechanical properties of the 3D printed hydrogels are associated with swelling and branching of CNF in the DES,as well as alignment of the filler during extrusion.For comparative analysis,composite hydrogels were also prepared using aqueous solutions of AA and AA/AAm with dispersed CNF.However,the 3D printing process was hampered in this case due to cellulose agglomeration.Mechanical testing revealed the formation of premature microcracks in these samples,which were not observed in composites produced using DES.Cytotoxicity of the composite hydrogels was also tested.The results provide valuable insights into the production of strong(up to 3.4 MPa)homogeneous composite hydrogels using 3D printing with nanocellulose filler.展开更多
Unlike primary metabolites,secondary metabolites serve critical ecological functions,including plant protection,stress tolerance,and symbiosis.This review focuses on extracting,separating,and identifying the major cla...Unlike primary metabolites,secondary metabolites serve critical ecological functions,including plant protection,stress tolerance,and symbiosis.This review focuses on extracting,separating,and identifying the major classes of secondary metabolites,including alkaloids,terpenoids,phenolics,glycosides,saponins,and coumarins.It describes optimized methods regarding plant selection,extraction by solvents,and purification of the metabolites,highlighting the latest advancements in chromatographic and spectroscopic techniques.The review also describes some of the most important problems,such as the instability of the compounds or diversity of the structures,and discusses emerging technologies that solve these issues.Moreover,it examines the secondary roles of these metabolites in medicine,such as anticancer and antimicrobial drugs,sustainable agriculture biopesticides,and environmental ecology-also known as allelopathy and bioindicators.It combines traditional ethnobotanical approaches with contem-porary science,demonstrating the vital need to protect biodiversity in key ecosystems such as tropical rainforests,mountain regions,coral reefs,and arid zones as a foundation for anticipatory bio-discoveries.It organizes the methodological frameworks and outlines the steps needed to enhance the extraction of bioactive compounds from natural sources.展开更多
The Pressure-Volume-Temperature(PVT)properties of crude oil are typically determined through laboratory analysis during the early phases of exploration and fielddevelopment.However,due to extensive data required,time-...The Pressure-Volume-Temperature(PVT)properties of crude oil are typically determined through laboratory analysis during the early phases of exploration and fielddevelopment.However,due to extensive data required,time-consuming nature,and high costs,laboratory methods are often not preferred.Machine learning,with its efficiencyand rapid convergence,has emerged as a promising alternative for PVT properties estimation.This study employs the modified particle swarm optimization-based group method of data handling(PSO-GMDH)to develop predictive models for estimating both the oil formation volume factor(OFVF)and bubble point pressure(P_(b)).Data from the Mpyo oil fieldin Uganda were used to create the models.The input parameters included solution gas-oil ratio(R_(s)),oil American Petroleum Institute gravity(API),specificgravity(SG),and reservoir temperature(T).The results demonstrated that PSO-GMDH outperformed backpropagation neural networks(BPNN)and radial basis function neural networks(RBFNN),achieving higher correlation coefficientsand lower prediction errors during training and testing.For OFVF prediction,PSO-GMDH yielded a correlation coefficient(R)of 0.9979(training)and 0.9876(testing),with corresponding root mean square error(RMSE)values of 0.0021 and 0.0099,and mean absolute error(MAE)values of 0.00055 and 0.00256,respectively.For P_(b)prediction,R was 0.9994(training)and 0.9876(testing),with RMSE values of 6.08 and 8.26,and MAE values of 1.35 and 2.63.The study also revealed that R_(s)significantlyimpacts OFVF and P_(b)predictions compared to other input parameters.The models followed physical laws and remained stable,demonstrating that PSO-GMDH is a robust and efficientmethod for predicting OFVF and P_(b),offering a time and cost-effective alternative.展开更多
This study investigates the spatial and temporal dynamics of key air pollutants-nitrogen dioxide(NO_(2)),carbon monoxide(CO),methane(CH_(4)),formaldehyde(HCHO),and the ultraviolet aerosol index(UVAI)-over the period 2...This study investigates the spatial and temporal dynamics of key air pollutants-nitrogen dioxide(NO_(2)),carbon monoxide(CO),methane(CH_(4)),formaldehyde(HCHO),and the ultraviolet aerosol index(UVAI)-over the period 2019-2024.Utilizing high-resolution remote sensing data from the Sentinel-5 Precursor satellite and its TROPOspheric Monitoring Instrument(TROPOMI)processed via Google Earth Engine(GEE),pollutant concentrations were analyzed,with spatial visualizations produced using ArcGIS Pro.The results reveal that urban and industrial hotspots-notably in Damascus,Aleppo,Homs,and Hama-exhibit elevated NO_(2) and CO levels,strongly correlated with population density,traffic,and industrial emissions.Temporal trends indicate significant pollutant fluctuations linked to external factors such as economic activities and regulatory measures.Methane concentrations have shown a steady increase,driven by intensified oil refining,biomass burning,and agricultural practices.Formaldehyde levels initially declined-due to reduced industrial activity-before experiencing a moderate rebound,though remaining below 2019 levels overall.The UV aerosol index demonstrated marked variability,predominantly influenced by winddriven dust transport,desert dust storms,and localized anthropogenic emissions.These findings underscore the intricate interplay between economic dynamics and environmental processes,highlighting the critical need for robust air quality management strategies.展开更多
基金financially supported by the Russian Science Foundation(No.23-13-00205)。
文摘Star-shaped six-arm polymers with hexaaza[2_(6)]orthoparacyclophane core and arms of block copolymers of poly-2-ethyl-5,6-dihydrooxazine with poly-2-isopropyl-5,6-dihydrooxazine were synthesized successfully using cationic ring-opening polymerization.The ratio of blocks,the order of their attachment to the core,and arm length were varied.Conformation of synthesized stars was determined by methods of molecular hydrodynamics and optics.It has been shown that star-shaped molecules were characterized by high intramolecular density,and the arm folding increased with their lengthening.The influence of the structure of block copolymers and their molar mass on the critical micelle concentration has been established.Complexes of synthesized star-shaped block copolymers with curcumin were obtained and the efficient binding of curcumin to polymer molecules was demonstrated.The behavior of the aqueous solutions of the prepared polymer stars and their complexes with curcumin was investigated by light scattering and turbidimetry methods.The influence of the structure and molar mass of star polymers on their thermoresponsiveness and the phase separation temperatures in aqueous solutions was analyzed.A slight increase in the phase separation temperature was found on passage from polymer solutions to solutions of polymer complexes with hydrophobic curcumin.
基金supported by the Russian Science Foundation (No. 25-13-00300)the Centre for Optical and Laser Materials Research (SPbSU) and Saint Petersburg State University for measuring the quantum yields of luminescence within the framework of research project(No.125021902439-8)。
文摘The development of polymeric materials that exhibit blue thermally activated delayed fluorescence(TADF)is of great interest for optoelectronic applications.However,achieving TADF in polymers often requires an elaborate monomer design.The high-energy local triplet state(^(3)LE)of carbazole complicates its application despite the molecular orbital arrangement being suitable for blue emission.Here,we present an approach to polymer design that makes it possible to solve this problem.We demonstrate the in situ formation of a TADF donor-acceptor system during Suzuki polycondensation,creating an extended carbazole-based donor matrix coupled with a triazine acceptor.The resulting polymer exhibited efficient TADF with a low energy gap(ΔE_(ST))value if a phenyl N-substituent,enabling essential electron delocalization,was present in the carbazole moiety.This work establishes a versatile platform for developing carbazole-based TADF polymers,overcoming the fundamental limitations that hinder their widespread application.
文摘The buckling behavior of stiffened panels is significantly influenced by material and geometric defects,making it a critical factor in ensuring structural integrity and safety.These panels are widely used in mechanical,aerospace,marine,and civil engineering applications due to their ability to enhance bending stiffness with minimal additional weight.Under high loads or stress concentrations,localized structural failures can initiate global buckling in stiffened panels.This study investigates how such defects affect the critical buckling load,stiffness,and thickness of stiffened panels.Two finite element analyses were conducted:a linear analysis to identify the initial buckling mode and a nonlinear analysis using the Riks algorithm in Abaqus CAE,incorporating localized imperfections.The simulations show that material and geometric defects can reduce buckling resistance depending on their severity.
文摘BACKGROUND Solid pseudopapillary neoplasm(SPN)of the pancreas is a rare epithelial tumor that primarily affects young women.Since the condition is often asymptomatic or presents with non-specific symptoms,its diagnosis can be difficult.CASE SUMMARY This report details the case of a 15-year-old girl who presented with a 2-year history of abdominal pain,with no significant findings during physical examination.Abdominal ultrasound revealed a well-defined heterogeneous solidcystic mass in the epigastric region,likely originating from the tail of the pancreas.A subsequent contrast-enhanced computed tomography scan indicated a welldefined cystic lesion with an enhancing solid component and capsule in the tail of the pancreas,suggestive of a cystic neoplasm.The patient underwent an open distal pancreatectomy with splenectomy,and histopathological analysis confirmed the diagnosis of SPN of the pancreas.CONCLUSION This case highlights the risk of SPN in adolescent girls and the necessity of early diagnosis and intervention for better outcomes.
文摘A conventional solid-state process was used to synthesize the double perovskite materials HoRCoMnO_(6)(R=Ho,Gd,Eu,Nd).The structural properties of the compounds were investigated using X-ray powder diffraction(XRD).The results revealed that Ho_(2)CoMnO_(6) crystallizes in a monoclinic structure with the P2_(1)/n space group.In contrast,the other compounds HoRCoMnO_(6)(R=Gd,Eu,or Nd) exhibit an orthorhombic structure with the Pnma space group.As a result,the average crystallite size also changes as a function of rare-earth element doping.This investigation reveals that the magnetic properties of the compounds studied are significantly dependent on the doping elements.The Curie temperature T_C,for example,increases from 80 to 118℃ with the ionic radii of rare earths increasing.Furthermore,the study of the magnetocaloric effect(MCE) shows that the maximum of the entropy variation(-ΔS_(M)^(max)) increases from 4.97 to 6.06 J/(kg·K) under a magnetic field of 5 T with substitution by rare-earth ions.To examine the efficiency of MCE materials,the relative cooling power(RCP) was evaluated and is found to increase with increment of rare-earth radius till 406.69 J/kg for Nd.The mean entropy variation with tempe rature(TEC) was also studied.Due to their significant magnetocaloric performance,HoRCoMnO_(6)(noted as HRCMO) compounds(with R=Ho,Gd,Eu or Nd) could be good candidates for low-temperature magnetic cooling applications.
文摘This study investigates the physical properties of the rare earth XFes(X=Sm,Dy,or Nd)materials.Our analysis encompasses these compounds'structural,electronic,thermodynamic,and optical characteristics using density functional theory(DFT)as implemented in the Wien2k software package.The GGA+SOC+U method was employed to determine the exchange-correlation potential.Our results show that the XFes materials exhibit metallic behavior and exhibit ferromagnetic(FM)phases.Notably,our optical analysis reveals a strong absorption response in the UV region,with characteristic absorption curves and peak intensities varying across the different materials.We also investigated the thermodynamic properties of the materials,finding that the entropy increases exponentially with temperature as the materials transition from a ground state to a more disordered and amorphous state.Our thermodynamic results show that the Debye temperature decreases for all three materials,with DyFes exhibiting the highest Debye temperature at 0 K(307 K),followed by NdFes(298 K),and then SmFes(288 K).This indicates that each material has a unique thermal energy barrier to overcome before vibrations occur.As the temperature increases,the Debye temperature decreases,reflecting a decrease in the thermal energy required to induce vibrations.The differences in Debye temperature values between the three materials may suggest differences in their lattice structures or phonon properties,highlighting the importance of understanding these thermal properties for developing new materials and technologies.
文摘In this paper,we give some properties for the so-calledε-pseudo weakly demicompact linear operators acting on Banach spaces with respect to a closed linear operator.Some sufficient conditions on the entries of an unbounded 2×2 block operator matrix L_(0)ensuring itsε-pseudo weak demicompactness are provided.In addition,we apply the obtained results to discuss the incidence of some perturbation results on the behavior of essential pseudospectra of L_(0).The results are formulated in terms of some denseness conditions on the topological dual space.
文摘In this study,the polyurethanes(PU)were synthesized from 4,4′-methylene diphenyl diisocyanate and biobased ethoxylated castor oil or one to one mixture of ethoxylated and neat castor oil by direct mixing method.Utilization of ethoxylated castor oil increases tensile strength of PU up to 2.75 times(from3.2 to 8.8MPa),compared to PU based on neat castor oil.The PU composites filed with birch flour,diatomite and their mixture were prepared using home-made dissolver with cutter-shaped attachment at the speed of 1500 min−1.The tensile strength of PU composites filled with birch flour increases up to two time at loading 5–30 wt.%.Application of combined birch flour/diatomite additives has similar effect.The tensile strength of PU composites based on one to one mixture of ethoxylated and neat castor oil and filled with birch flour or combined birch flour/diatomite additives increases sharply up to 16–17 fold(up to 18.1 MPa).The birch flour and diatomite wellsoaked polymer matrix.The main factor determining mechanical performance is the morphology of PU samples and composites.Formation of ordered lamella-like structure of amorphous phase of PU matrix leads to an increase in mechanical performance and glass transition temperatures.Formation of disordered unstructured soft phase of starting PU leads to a decline of these functional properties.
基金supported by the National Key Research and Development Program of China(Grant No.2022YFA1602501)the National Natural Science Foundation of China(Grant No.12011530060)+1 种基金supported solely by the Russian Science Foundation(Grant No.22-12-00043)supported by the Chinese Academy of Sciences(CAS)Presidents International Fellowship Initiative(PIFI)(Grant Nos.2018VMB0016 and 2022VMC0002),respectively。
文摘We explored a distinct mechanism for matter creation via electron-positron pair production during bound-bound transitions in the deexcitation of muonic atoms.For ions with nuclear charges Z≥24,transitions from low-lying excited states to the 1s-muon state can lead to the production of electron-positron pairs.We show that the Breit interaction determines the transition probabilities for states with nonzero orbital momentum.We show that the pair production arises mainly from the decay of the 2p states.Thus,the Breit interaction governs electron-positron pair production in bound-bound muon transitions.This process offers a unique opportunity to explore quantum electrodynamics in strong fields,as well as a class of nonradiative transitions involving electron-positron pair production.
文摘In this paper,we introduce a qualitative analysis in order to study the monotonicity and comparability properties of a single-server retrial queueing model with Bernoulli feedback and negative customers,relative to stochastic orderings.Performance measures of such a system are available explicitly,while their forms are cumbersome(these formulas include integrals of Laplace transform,solutions of functional equations,etc.).Therefore,they are not exploitable from the application point of view.To overcome these difficulties,we present stochastic comparison methods in order to get qualitative estimates of these measures.In particular,we prove the monotonicity of the transition operator of the embedded Markov chain.In addition,we establish conditions for which transition operators as well as stationary probabilities,associated with two embedded Markov chains,having the same structure but with different parameters,are comparable relative to the given stochastic orderings.Further,numerical examples are carried out to illustrate the theoretical results.
基金financially supported by the Russian Science Foundation(No.23-43-00060)。
文摘An efficient,simple,and convenient method for Suzuki polycondensation using a diaminocarbene palladium(Ⅱ)catalyst under aerobic conditions was developed.Reactions between aromatic diboronic acid bis(pinacol)ester and different aromatic dibromides,both with electrondonating and electron-withdrawing fragments in the structure,were carried out.Various reaction conditions,such as the effect of catalyst concentration and solvent,were investigated.The molecular weight characteristics,photo-and electroluminescence properties of the synthesized polymers were studied.
基金supported by the Natural Science Foundation of Guangxi(2021GXNSFFA196004,2024GXNSFBA010337)the NNSF of China(12371312)+1 种基金the Natural Science Foundation of Chongqing(CSTB2024NSCQ-JQX0033)supported by the project cooperation between Guangxi Normal University and Yulin Normal University.
文摘This paper addresses the evolution problem governed by the fractional sweeping process with prox-regular nonconvex constraints.The values of the moving set are time and state-dependent.The aim is to illustrate how a fixed point method can establish an existence theorem for this fractional nonlinear evolution problem.By combining Schauder’s fixed point theorem with a well-posedness theorem when the set C is independent of the state u(i.e.C:=C(t),as presented in[22,23]),we prove the existence of a solution to our quasi-variational fractional sweeping process in infinite-dimensional Hilbert spaces.Similar to the conventional state-dependent sweeping process,achieving this result requires a condition on the size of the Lipschitz constant of the moving set relative to the state.
文摘This study evaluates the impact of heavy metals(zinc,copper and cadmium)on the development and metabolic responses of the maize(Zea mays)variety“Torro Plus”.Seeds were cultivated on MS medium enriched with progressively higher concentrations of heavy metals(50,100 and 150μM),and plants were analyzed after 21 days.The results show a significant reduction in morphological parameters,notably an 87.28%decrease in the fresh weight of aerial parts and a 69.93%decrease in the fresh weight of roots under 150μM of Cd.Chlorophyll a,b and total content also decreased drastically,reaching a maximum reduction of 74.31%under Cd(150μM).In contrast,secondary metabolites such as proline and flavonoids increased,with a maximum proline accumulation of 0.71 mg/g under Cu(150μM)and a flavonoid concentration reaching 176.33 mg/g under Cu(100μM).These results show mechanisms of adaptation to stress,notably the accumulation of flavonoids and proline,while highlighting the increased toxicity of cadmium at high doses.These data are promising for applications in phytoremediation and sustainable agriculture.This study provides important data on the physiological and biochemical responses of plants to heavy metals and opens up prospects for phytoremediation applications.
基金provided by SIRAM project within the framework of PRIMA,a program supported by H2020,the European Program for Research and Innovation and the Tunisian Ministry of Higher Education and Scientific Research(MERS).
文摘Fungal plant diseases are infections caused by pathogenic fungi that affect crops,ornamental plants,and trees.Symptoms of these diseases can include leaf spots,fruit rot,root rot,and generalized growth retardation.Fungal diseases can result in decreased quality and quantity of crops,which can have a negative economic impact on farmers and producers.Moreover,these diseases can cause environmental damage.Indeed,fungal diseases can directly affect crops by reducing plant growth and yield,as well as altering their quality and nutritional value.Although effective,the use of many chemical products is often harmful to health and the environment,and their use is increasingly restricted due to their high toxicity.To address this issue,it is becoming increasingly essential to replace these chemical products with products that respect the environment and human health,and for sustainable agriculture,such as regenerative agricultural practices.Regenerative agricultural practices such as crop rotation,intercropping,composting,and notill farming techniques can offer sustainable solutions for the prevention and control of plant fungal diseases.These regenratives approaches not only help to control fungal plant disease by strengthening plant disease resistance,but also significantly contribute to the improvement of sustainable agriculture,by restoring soil health,increasing biodiversity and reducing the use of harmful chemicals to the environment and human health in order to keep a long-termecosystem resilience,promote environmental sustainability,and support global food security.Using regenerative agricultural practices can provide a holistic and effective approach to controlling fungal plant diseases while improving the health and productivity of farming systems.
文摘In recent years,the world has seen an exponential increase in energy demand,prompting scientists to look for innovative ways to exploit the power sun’s power.Solar energy technologies use the sun’s energy and light to provide heating,lighting,hot water,electricity and even cooling for homes,businesses,and industries.Therefore,ground-level solar radiation data is important for these applications.Thus,our work aims to use a mathematical modeling tool to predict solar irradiation.For this purpose,we are interested in the application of the Adaptive Neuro Fuzzy Inference System.Through this type of artificial neural system,10 models were developed,based on meteorological data such as the Day number(Nj),Ambient temperature(T),Relative Humidity(Hr),Wind speed(WS),Wind direction(WD),Declination(δ),Irradiation outside the atmosphere(Goh),Maximum temperature(Tmax),Minimum temperature(Tmin).These models have been tested by different static indicators to choose the most suitable one for the estimation of the daily global solar radiation.This study led us to choose the M8 model,which takes Nj,T,Hr,δ,Ws,Wd,G0,and S0 as input variables because it presents the best performance either in the learning phase(R^(2)=0.981,RMSE=0.107 kW/m^(2),MAE=0.089 kW/m2)or in the validation phase(R^(2)=0.979,RMSE=0.117 kW/m^(2),MAE=0.101 kW/m^(2)).
文摘Maximizing the efficiency of thermal engineering equipment involves minimizing entropy generation,which arises from irreversible processes.This study examines thermal transport and entropy generation in viscous flow over a radially stretching disk,incorporating the effects of magnetohydrodynamics(MHD),viscous dissipation,Joule heating,and radiation.Similarity transformations are used to obtain dimensionless nonlinear ordinary differential equations(ODEs)from the governing coupled partial differential equations(PDEs).The converted equations are then solved by using the BVP4C solver in MATLAB.To validate the findings,the results are compared with previously published studies under fixed parameter conditions,demonstrating strong agreement.Various key parameters are analyzed graphically to assess their impact on velocity and temperature distributions.Additionally,Bejan number and entropy generation variations are presented for different physical parameters.The injection parameter(S<0)increases the heat transfer rate,while the suction parameter(S>0)reduces it,exhibiting similar effects on fluid velocity.The magnetic parameter(M)effectively decreases entropy generation within the range of approximately 0≤η≤0.6.Beyond this interval,its influence diminishes as entropy generation values converge,with similar trends observed for the Bejan number.Furthermore,increased thermal radiation intensity is identified as a critical factor in enhancing entropy generation and the Bejan number.
基金financially supported by part of the state assignment(No.1023031700043-2-1.4.4)。
文摘Two-and three-component deep eutectic solvents(DES)based on acrylic acid(AA),acrylamide(AAm),and choline chloride(ChCl)were used to disintegrate bacterial cellulose into cellulose nanofibers(CNF).As a result,polymerizable precursors suitable for 3D printing with CNF as a rheology modifier and reinforcer with formation of interpenetrating double polymer network were obtained after UV curing.Composite hydrogels were formed by replacing ChCl with water.It was found that the introduction of amide groups into the acrylate polymer matrix resulted in an increase in compressive strength.The layered architecture of the 3D printed products provides greater mechanical strength compared to molded products.The structure of the composites was investigated using wide-angle X-ray scattering(WAXS),small-angle X-ray scattering(SAXS),atomic force microscopy(AFM)and polarized light microscopy.These studies suggest that the enhanced mechanical properties of the 3D printed hydrogels are associated with swelling and branching of CNF in the DES,as well as alignment of the filler during extrusion.For comparative analysis,composite hydrogels were also prepared using aqueous solutions of AA and AA/AAm with dispersed CNF.However,the 3D printing process was hampered in this case due to cellulose agglomeration.Mechanical testing revealed the formation of premature microcracks in these samples,which were not observed in composites produced using DES.Cytotoxicity of the composite hydrogels was also tested.The results provide valuable insights into the production of strong(up to 3.4 MPa)homogeneous composite hydrogels using 3D printing with nanocellulose filler.
文摘Unlike primary metabolites,secondary metabolites serve critical ecological functions,including plant protection,stress tolerance,and symbiosis.This review focuses on extracting,separating,and identifying the major classes of secondary metabolites,including alkaloids,terpenoids,phenolics,glycosides,saponins,and coumarins.It describes optimized methods regarding plant selection,extraction by solvents,and purification of the metabolites,highlighting the latest advancements in chromatographic and spectroscopic techniques.The review also describes some of the most important problems,such as the instability of the compounds or diversity of the structures,and discusses emerging technologies that solve these issues.Moreover,it examines the secondary roles of these metabolites in medicine,such as anticancer and antimicrobial drugs,sustainable agriculture biopesticides,and environmental ecology-also known as allelopathy and bioindicators.It combines traditional ethnobotanical approaches with contem-porary science,demonstrating the vital need to protect biodiversity in key ecosystems such as tropical rainforests,mountain regions,coral reefs,and arid zones as a foundation for anticipatory bio-discoveries.It organizes the methodological frameworks and outlines the steps needed to enhance the extraction of bioactive compounds from natural sources.
基金support from the Chinese Scholarship Council(Grant No.2022GXZ005733)。
文摘The Pressure-Volume-Temperature(PVT)properties of crude oil are typically determined through laboratory analysis during the early phases of exploration and fielddevelopment.However,due to extensive data required,time-consuming nature,and high costs,laboratory methods are often not preferred.Machine learning,with its efficiencyand rapid convergence,has emerged as a promising alternative for PVT properties estimation.This study employs the modified particle swarm optimization-based group method of data handling(PSO-GMDH)to develop predictive models for estimating both the oil formation volume factor(OFVF)and bubble point pressure(P_(b)).Data from the Mpyo oil fieldin Uganda were used to create the models.The input parameters included solution gas-oil ratio(R_(s)),oil American Petroleum Institute gravity(API),specificgravity(SG),and reservoir temperature(T).The results demonstrated that PSO-GMDH outperformed backpropagation neural networks(BPNN)and radial basis function neural networks(RBFNN),achieving higher correlation coefficientsand lower prediction errors during training and testing.For OFVF prediction,PSO-GMDH yielded a correlation coefficient(R)of 0.9979(training)and 0.9876(testing),with corresponding root mean square error(RMSE)values of 0.0021 and 0.0099,and mean absolute error(MAE)values of 0.00055 and 0.00256,respectively.For P_(b)prediction,R was 0.9994(training)and 0.9876(testing),with RMSE values of 6.08 and 8.26,and MAE values of 1.35 and 2.63.The study also revealed that R_(s)significantlyimpacts OFVF and P_(b)predictions compared to other input parameters.The models followed physical laws and remained stable,demonstrating that PSO-GMDH is a robust and efficientmethod for predicting OFVF and P_(b),offering a time and cost-effective alternative.
基金funded in part by the Brazilian Federal Agency for the Support and Evaluation of Graduate Education(CAPES)-Finance Code 001,and by the National Council for Scientific and Technological Development(CNPq),Brazil(Grant Nos.313358/2021-4 and 443905/2023-1).
文摘This study investigates the spatial and temporal dynamics of key air pollutants-nitrogen dioxide(NO_(2)),carbon monoxide(CO),methane(CH_(4)),formaldehyde(HCHO),and the ultraviolet aerosol index(UVAI)-over the period 2019-2024.Utilizing high-resolution remote sensing data from the Sentinel-5 Precursor satellite and its TROPOspheric Monitoring Instrument(TROPOMI)processed via Google Earth Engine(GEE),pollutant concentrations were analyzed,with spatial visualizations produced using ArcGIS Pro.The results reveal that urban and industrial hotspots-notably in Damascus,Aleppo,Homs,and Hama-exhibit elevated NO_(2) and CO levels,strongly correlated with population density,traffic,and industrial emissions.Temporal trends indicate significant pollutant fluctuations linked to external factors such as economic activities and regulatory measures.Methane concentrations have shown a steady increase,driven by intensified oil refining,biomass burning,and agricultural practices.Formaldehyde levels initially declined-due to reduced industrial activity-before experiencing a moderate rebound,though remaining below 2019 levels overall.The UV aerosol index demonstrated marked variability,predominantly influenced by winddriven dust transport,desert dust storms,and localized anthropogenic emissions.These findings underscore the intricate interplay between economic dynamics and environmental processes,highlighting the critical need for robust air quality management strategies.
