Embedding a third and/or fourth component into a binary blend active layer of organic photovoltaics (OPVs) is a promising approach to achieve high-performance photovoltaic cells and modules. This multicomponent strate...Embedding a third and/or fourth component into a binary blend active layer of organic photovoltaics (OPVs) is a promising approach to achieve high-performance photovoltaic cells and modules. This multicomponent strategy favors absorption broadening via additional components. Quaternary OPV (QOPV) blends have four components in three possible configurations: (i) a donor and three acceptors, (ii) two donors and two acceptors, or (iii) three donors and an acceptor. Although quaternary systems have only been relatively recently studied compared to other systems in OPVs, leveraging the synergistic effects of the four components leads to record power conversion efficiencies, currently approaching 20%. QOPVs provide ample material choices for compatibility and channels for charge transfer mechanisms, possibly leading to optimized morphology and orientation. Reviewing recent progress in advancing QOPVs is essential for understanding their contribution to the OPV field. The review mainly discusses research progress in QOPVs with a keen interest in their various configurations, semitransparency, and outdoor and indoor applications. It describes the not-well-understood QOPV's general working mechanism. This review explores high-performance QOPVs based on the fourth component's contribution as a donor, acceptor, or dye molecule and beyond in photovoltaic applications. Finally, there is a discussion around QOPV's outlook and projected future research directions in this field. This review intends to provide an overview of the quaternary systems approach to OPVs and inform current and future researchers on investigating the full spectrum of OPVs.展开更多
Organic solar cells based on poly（N-vinylcarbazole） （PVK）： porphyrin： tris （8-hydroxyquinolinato） aluminium （Alq3） blend p-n junction systems have been fabricated in this work. The roles of the different com...Organic solar cells based on poly（N-vinylcarbazole） （PVK）： porphyrin： tris （8-hydroxyquinolinato） aluminium （Alq3） blend p-n junction systems have been fabricated in this work. The roles of the different components in the blend system and of the amount of porphyrin have been investigated. The 5, 10, 15, 20-tetraphenylporphyrin （TPP） and 5, 10, 15, 20-tetra（o-chloro）phenylporphyrinato-copper （CuTC1PP） are used in the solar cells. The results show that TPP is better than CuTC1PP in enhancing the performance of PVK：Alq3 solar cells. When the weight ratio of PVK：TPP：Alq3 is 1：1.5：1, the best performance of solar cell is obtained. The open circuit voltage （Voc） is 0.87 V, and the short circuit current （Jsc） is 17.5 μA·cm-2. In the ternary bulk hereojunction system, the device may be regarded as a cascade of three devices of PVK：TPP, TPP：Alq3 and PVK：Alq3. PVK, TPP and Alq3 can improve the hole mobility, light absorption intensity and electron mobility of the ternary bulk hereojunction system, respectively.展开更多
In this research, we report a bulk heterojunction（BHJ） solar cell consisting of a ternary blend system. Poly（3-hexylthiophene） P3 HT is used as a donor and [6,6]-phenyl C61-butyric acid methylester（PCBM） plays t...In this research, we report a bulk heterojunction（BHJ） solar cell consisting of a ternary blend system. Poly（3-hexylthiophene） P3 HT is used as a donor and [6,6]-phenyl C61-butyric acid methylester（PCBM） plays the role of acceptor whereas vanadyl 2,9,16,23-tetraphenoxy-29 H, 31H-phthalocyanine（VOPc Ph O） is selected as an ambipolar transport material. The materials are selected and assembled in such a fashion that the generated charge carriers could efficiently be transported rightwards within the blend. The organic BHJ solar cells consist of ITO/PEDOT：PSS/ternary BHJ blend/Al structure. The power conversion efficiencies of the ITO/ PEDOT：PSS/P3HT：PCBM/Al and ITO/PEDOT：PSS/P3HT：PCBM：VOPcPhO/Al solar cells are found to be 2.3% and 3.4%, respectively.展开更多
High-entropy polymer blends composed of polypropylene(PP),polystyrene(PS),polyamide 6(PA6),poly(lactic acid)(PLA),and styrene-ethylene-butylene-styrene(SEBS)were successfully fabricated using maleic anhydride-grafted ...High-entropy polymer blends composed of polypropylene(PP),polystyrene(PS),polyamide 6(PA6),poly(lactic acid)(PLA),and styrene-ethylene-butylene-styrene(SEBS)were successfully fabricated using maleic anhydride-grafted SEBS(SEBS-g-MAH)as a compatibilizer.Dynamic mechanical analysis(DMA),differential scanning calorimetry(DSC),scanning electron microscopy(SEM),and mechanical testing demonstrated that SEBS-g-MAH significantly enhanced the compatibility between the polar(PA6,PLA)and nonpolar(PP,PS,SEBS)components.The compatibilizer effectively refined the microstructure,substantially reduced the domain sizes,and blurred the phase boundaries,indicating enhanced interfacial interactions among all the components.The optimal compatibilizer content(15 wt%)notably increased tensile ductility(elongation at break from 5.0%to 23.7%)while maintaining balanced crystallization behavior,despite slightly decreasing modulus.This work not only demonstrates the broad applicability of high-entropy polymer blends as a sustainable strategy for converting complex,unsorted plastic waste into high-performance value-added materials that significantly contribute to plastic upcycling efforts,but also highlights intriguing physical phenomena emerging from such complex polymer systems.展开更多
College students’safety education is an important part of the fundamental task of fostering virtue through education in colleges and universities.A questionnaire survey at J University shows that the popularization d...College students’safety education is an important part of the fundamental task of fostering virtue through education in colleges and universities.A questionnaire survey at J University shows that the popularization degree and teaching satisfaction of college students’safety education are relatively high,but the teaching content and teaching forms still need improvement.With the rapid development of artificial intelligence technology and considering the char-acteristics of college students’online learning in the new era,carrying out the SPOC+PBL blended teaching reform not only helps to enhance the effectiveness of theoretical and practical teaching but also contributes to optimizing the teach-ing evaluation and feedback mechanism and strengthening students’problem-solving abilities.Therefore,we should adhere to the goal orientation,meticulously design the teaching plan,highlight the student-centered approach,focus on integrating teaching resources,strengthen process management,promptly provide feedback and guidance,empower with data,and continuously improve teaching evaluation.Thus,a student-centered SPOC+PBL blended teaching sys-tem can be constructed to empower the transformation and innovation of talent cultivation in higher education.展开更多
Fuel injection properties,including the injection rate(temporal aspects)and spray behavior(spatial aspects),play a crucial role in the combustion efficiency and emissions of diesel engines.This study investigates the ...Fuel injection properties,including the injection rate(temporal aspects)and spray behavior(spatial aspects),play a crucial role in the combustion efficiency and emissions of diesel engines.This study investigates the effects of different ethanol-biodiesel-diesel(EBD)blends on the injection performance in diesel engines.Experimental tests are conducted to examine key injection parameters,such as spray penetration distance,spray cone angle,and droplet size,alongside an analysis of coupling leakage.The main findings are as follows:(1)The injection behavior of ethanol and diesel differs significantly.The addition of ethanol reduces the density,viscosity,and modulus of elasticity of the fuel mixture.While the injection advance angle,penetration distance,and Sauter mean diameter show minimal changes,the spray cone angle and coupling leakage increase notably.These alterations may disrupt the“fuelair-chamber”matching characteristics of the original engine,potentially affecting performance.(2)In contrast,the injection performance of biodiesel ismore similar to that of diesel.As biodiesel content increases,the density,viscosity,and modulus of elasticity of the blended fuel also grow.Though changes in injection timing,penetration distance,and spray cone angle remain minimal,the Sauter mean diameter experiences a slight increase.The“air-fuel chamber”compatibility of the original engine is largely unaffected,though fuel atomization slightly deteriorates.Blending up to 20%biodiesel and 30%ethanol with diesel effectively compensates for the shortcomings of using single fuels,maintaining favorable injection dynamics while enhancing lubrication and sealing performance of engine components.展开更多
The current work includes a numerical investigation of the effect of biodiesel blends with different aluminum oxide nanoparticle concentrations on the combustion process in the cylinder of a diesel engine.IC Engine Fl...The current work includes a numerical investigation of the effect of biodiesel blends with different aluminum oxide nanoparticle concentrations on the combustion process in the cylinder of a diesel engine.IC Engine Fluent,a specialist computational tool in the ANSYS software,was used to simulate internal combustion engine dynamics and combustion processes.Numerical analysis was carried out using biodiesel blends with three Al_(2)O_(3) nanoparticles in 50,100,and 150 ppm concentrations.The tested samples are called D100,B20,B20A50,B20A100,and B20A150 accordingly.The modeling runs were carried out at various engine loads of 0,100,and 200 Nm at a rated speed of 1800 rpm.The combustion characteristics are improved due to the catalytic effect and higher surface area of nano additives.The results showed the improvements in the combustion process as the result of nanoparticle addition,which led to the higher peak cylinder pressure.The increases in the peak cylinder pressures for B20A50,B20A100,and B20A150 about B20 were 3%,5%,and 8%,respectively,at load 200 Nm.The simulation found that the maximum temperature for biodiesel blends diesel was higher than pure diesel;this was due to higher hydrocarbon values of B20.Also,nano-additives caused a decrease in temperatures in the combustion of biofuels.展开更多
Wet flue gas desulfurization(WFGD)could effectively reduce sulfur dioxide emission.However,magnesium sulfite(MgSO_(3)),a by-product of desulfurization,was easy to result in secondary pollution.In this study,the solid ...Wet flue gas desulfurization(WFGD)could effectively reduce sulfur dioxide emission.However,magnesium sulfite(MgSO_(3)),a by-product of desulfurization,was easy to result in secondary pollution.In this study,the solid catalyst Co-Bent(bentonite supported cobalt)was prepared by blending method for MgSO_(3) oxidation with bentonite as the carrier and cobalt as the active component.At the calcination temperature of 550℃ and the Co loading level of 3 wt.%,the catalyst showed excellent catalytic performance for the oxidation of high concentration MgSO_(3) slurry,and the oxidation rate of MgSO_(3) was 0.13 mol/(L·h).The research indicated that the active component was uniformly distributed within porous structure of the catalyst as Co_(3)O_(4),which facilitated the oxidation of SO_(3)^(2-) catalyzed by Co_(3)O_(4).Kinetic researches indicated the oxidation rate of MgSO_(3) was influenced by the catalyst dosage,the reaction temperature,the solution pH,the airflow rate,and the SO_(3)^(2-) concentration.Additionally,after recycling experiments,the regenerated catalyst retained its high catalytic performance for the MgSO_(3) oxidation.The reaction mechanism for the catalytic oxidation of MgSO_(3) by Co-Bent catalyst was also proposed.The generation of active free radicals(OH·,SO_(4)^(-)·,SO_(3)^(-)·,SO_(5)^(-)·)accelerated the MgSO_(3) oxidation.These results provide theoretical support for the treatment of MgSO_(3) and the development of durable catalyst.展开更多
This article explores in-class practice of blended teaching of Chinese-English(C-E)translation for English as a Foreign Language(EFL)majors in the era of artificial intelligence(AI).It examines the opportunities and c...This article explores in-class practice of blended teaching of Chinese-English(C-E)translation for English as a Foreign Language(EFL)majors in the era of artificial intelligence(AI).It examines the opportunities and challenges AI presents in enhancing translation education,particularly in fostering student engagement,improving teaching efficiency,and promoting self-motivated learning.Case study suggests that AI can enhance the flexibility of teaching and motivate students,yet challenges such as over-reliance on AI and diminished critical thinking need to be addressed.While acknowledging the indispensability of human translators,the article concludes that effective blended teaching requires purposeful curriculum design,proper integration of AI,and a collaborative effort of teachers and students to maximize the potential of AI while ensuring high-quality,independent learning outcomes.展开更多
Polymeric materials have emerged as a promising alternative to electrolytic solutions in energy storage applications.However,high crystallinity and poor ionic conductivity are the main barriers restricting their daily...Polymeric materials have emerged as a promising alternative to electrolytic solutions in energy storage applications.However,high crystallinity and poor ionic conductivity are the main barriers restricting their daily application.In this study,we propose a polymer electrolyte system consisting of methylcellulose-polyvinyl alcohol(MC-PVA)blend as host material and lithium trifluoromethanesulfonate(LiCF_(3)SO_(3))as dopant,which was prepared using the solution-casting method.The electrochemical impedance spectroscopy(EIS)analysis revealed a maximum conductivity of 5.42×10^(−6) S cm^(−1) with 40 wt.%LiCF_(3)SO_(3).The key findings demonstrated that the variation in the dielectric loss(εi)and dielectric constant(εr)was significantly correlated with the variation in ionic conductivity.Fourier-transform infrared spectroscopy(FTIR)analysis was done to analyse the salt-polymer interaction by observing the shifting of selected bands.By deconvoluting FTIR spectra in the wavenumber range of 970–1100 cm^(−1),transport properties of electrolytes were investigated and found to be improved when the salt concentration was increased to 40 wt.%.Results from the X-ray diffraction(XRD)study suggested that the higher salt concentration promoted the formation of an amorphous phase,which is favourable for ionic conduction.Field emission scanning electron microscopy(FESEM)study demonstrated that the addition of salt altered the surface morphology of MC-PVA.展开更多
With blended learning emerging as a mainstream paradigm in higher education,the Document Security Technology course faces persistent challenges,including vague instructional objectives and low learning efficiency.Simu...With blended learning emerging as a mainstream paradigm in higher education,the Document Security Technology course faces persistent challenges,including vague instructional objectives and low learning efficiency.Simultaneously,the profession demands stronger self-directed learning capabilities from practitioners.To address these issues,this study develops a“Five-in-One”self-directed learning model comprising five interrelated dimensions:goal orientation,instructional regulation,cognitive development,technological resources,and process monitoring.The application of this model has significantly improved course evaluation outcomes,enhanced faculty teaching and research capacity,strengthened students’practical and innovative skills,and expanded the course’s reach and social impact.The model thus provides both a theoretical framework and a practical pathway for the reform of similar applied courses.展开更多
Multi-component polymer systems exhibit exceptional versatility and structural diversity,making them indispensable in the polymer industry as well as in advanced and high performance applications.However,constructing ...Multi-component polymer systems exhibit exceptional versatility and structural diversity,making them indispensable in the polymer industry as well as in advanced and high performance applications.However,constructing accurate phase diagrams for these systems remains challenging due to inhomogeneous structures arising from the introduction of block copolymer components.Here,we present a unified and model-agnostic framework for computing phase equilibria in multi-component polymeric systems based on the concept of“effective chemical potential”.This approach directly connects key thermodynamic variables in the canonical ensemble to other ensembles,unifying phase coexistence determination without requiring the reformulation of self-consistent field theory(SCFT)calculations across different ensembles.By decoupling phase equilibrium determination from specific ensemble formulations,our approach enables the reuse of existing SCFT solvers.Moreover,it provides a useful framework to develop highly efficient phase equilibrium solvers for multi-component polymer systems.展开更多
Delineation of hydrocarbon-bearing sands and the extent of accumulation using seismic data is a reoccurring challenge for many fields.This study addressed the existing challenges of delineating a known hydrocarbon reg...Delineation of hydrocarbon-bearing sands and the extent of accumulation using seismic data is a reoccurring challenge for many fields.This study addressed the existing challenges of delineating a known hydrocarbon region for a thin-pay reservoir using conventional attributes extraction methods.The efficacy of applying iso-frequency extraction and spectral frequency blending in identifying thin-pay and thick-pay reservoirs on seismic was tested by utilizing 3D seismic data and well logs data of Terra field in the Western Niger Delta Basin.Well tops of all the reservoirs in the field were picked and two reservoirs that correspond to thin-and thick-pay reservoirs,namely A and F were identified respectively.The gross pay thickness of reservoir A is 18 ft while that of reservoir F is 96 ft.Conventional attribute extraction such as RMS amplitude,minimum amplitude,and average energy can be used to identify the hydrocarbon-bearing region in reservoir F but was not applicable for identifying the thin-pay reservoir A.This prompted the interest of using iso-frequency extractions and spectral frequency blending of three iso-frequency cubes of 12 Hz,30 Hz,and 70 Hz to get a spectral frequency RGB cube.The 12 Hz isofrequency can be used to partially identify hydrocarbon-bearing region in reservoir A while the 30Hz iso-frequency can be used to partially identify hydrocarbon-bearing region in reservoir F.The results show that time slices from the spectral frequency blended cube were able to delineate both the thin-pay and thick-pay hydrocarbon-bearing regions as high amplitude.The extractions also conformed to the structure of the two reservoirs.However,there seems to be a color difference in the amplitude display for both reservoirs.The thick-pay reservoir showed a red color on the time slice while the thin-pay reservoir showed a green color.This study has shown that spectral frequency blending is a more effective tool than conventional attributes extractions in identifying hydrocarbon-bearing region using seismic data.The methodology utilized in this study can be applied to other fields with similar challenges and for identifying prospective hydrocarbon bearing areas.展开更多
China has abundant resources of high-alumina coal(HAC).However,its application as a raw gasification material is limited owing to high ash-fusion characteristics.For overcoming the limitation,this study employed Xinji...China has abundant resources of high-alumina coal(HAC).However,its application as a raw gasification material is limited owing to high ash-fusion characteristics.For overcoming the limitation,this study employed Xinjiang coal(XJ),having a low ash fusion temperature,to improve the ash fusibility and viscosity of high-alumina Jungar coal(JG).The evolution of Al-containing phases and structures during mixed ash melting were investigated based on XRD,XPS,27Al NMR,high-temperature stage microscopy(HTSM),and thermodynamic simulations.An increase in the XJ mass ratio resulted in the transformation of gehlenite to anorthite and mullite,producing more amorphous materials at high temperature.These phenomena were manifested at a microscopic imaging as an increase in the number of reaction/melting sites and their area expansion rate,as well as a decrease in ash area shrinkage and melting temperature.Moreover,the introduction of XJ altered the alumina-oxygen network,reducing the binding to the silicaoxygen network and converting some[AlO_(6)]^(9-)to[AlO_(4)]^(5-)as the relative concentration of O_(2)-and O-increases.Consequently,the decrease in the stability of the aluminate structure improves the AFT and viscosity.Based on these results,a mechanism to improve the ash fusion characteristics of HAC based on coal blending is proposed.展开更多
Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditiona...Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditional blended,blended online,and blended synchronous,which combine synchronous and asynchronous teaching and learning activities.This paper adopts an inductive approach to investigate and analyse students‘engagement in learning from three dimensions:behavioural,affective and cognitive,specifically focusing on three meta-categories,namely,course structure and arrangement,choice of teaching and learning activities,and teacher’s role in relation to the course,to investigate the teaching of teachers of different disciplines in three vocational colleges and to analyse the pedagogical strategies that the teachers use in order to improve students’engagement in blended learning.The findings suggest that communicating about the course at the beginning of the semester,clarifying course requirements,and building a trusting relationship with students play a key role in increasing student engagement in blended learning,and that the use of digital tools is an important means of promoting students’behavioural and emotional active participation in learning.展开更多
The homogeneity of aggregate blend has a significant influence on the performance of asphalt mixture.The composition of aggregate blend,including the size combination and the mass ratio between each size particles(MRE...The homogeneity of aggregate blend has a significant influence on the performance of asphalt mixture.The composition of aggregate blend,including the size combination and the mass ratio between each size particles(MRESP),is an important factor affecting the homogeneity.This study investigated the influence of the size combination and MRESP on the distribution homogeneity of particles in aggregate blend using discrete element method(DEM).An indicator quantifying the distribution homogeneity was established according to the coefficient of variation(CV)for particle number.Two-size,three-size,and four-size aggregate blends with various compositions were designed.Laboratory tests show the DEM simulation is feasible.The particle distribution homogeneity in various blends was analyzed.The results showed the distribution homogeneity of each size particles in a blend is closely related to their mass fraction.The higher the mass fraction of the particles,the more homogeneous the distribution of them.The MRESP has no significant influence on the homogeneity of the blend composed of only coarse aggregates.However,the homogeneity of the blend composed of coarse and fine aggregates improves gradually with the increase of the mass fraction of fine aggregates.The smaller the maximum particle size in a blend,the better the homogeneity.It is suggested that the mass fraction of fine aggregates should be between 33%and 50%for achieving good homogeneity of aggregate blends.The research results can provide a reference for gradation design of asphalt mixture.展开更多
This paper focuses on the research on the teaching efficiency of ideological and political classrooms under the background of blended teaching.It analyzes the connotation and characteristics of blended teaching,explor...This paper focuses on the research on the teaching efficiency of ideological and political classrooms under the background of blended teaching.It analyzes the connotation and characteristics of blended teaching,explores the impact of blended teaching on the teaching efficiency of ideological and political classrooms from multiple aspects,and conducts empirical research through case analysis and data collection.The results show that blended teaching can effectively improve the teaching efficiency of ideological and political classrooms,enhance students’learning enthusiasm and participation,and promote the improvement of students’ideological and political qualities.Finally,corresponding suggestions and countermeasures are put forward to provide a reference for the improvement of the teaching quality of ideological and political courses.展开更多
While artificial intelligence(AI)shows promise in education,its real-world effectiveness in specific settings like blended English as a Foreign Language(EFL)learning needs closer examination.This study investigated th...While artificial intelligence(AI)shows promise in education,its real-world effectiveness in specific settings like blended English as a Foreign Language(EFL)learning needs closer examination.This study investigated the impact of a blended teaching model incorporating AI tools on the Superstar Learning Platform for Chinese university EFL students.Using a mixed-methods approach,60 first-year students were randomized into an experimental group(using the AI-enhanced model)and a control group(traditional instruction)for 16 weeks.Data included test scores,learning behaviors(duration,task completion),satisfaction surveys,and interviews.Results showed the experimental group significantly outperformed the control group on post-tests and achieved larger learning gains.These students also demonstrated greater engagement through longer study times and higher task completion rates,and reported significantly higher satisfaction.Interviews confirmed these findings,with students attributing benefits to the model’s personalized guidance,structured content presentation(knowledge graphs),immediate responses,flexibility,and varied interaction methods.However,limitations were noted,including areas where the platform’s AI could be improved(e.g.,for assessing speaking/translation)and ongoing challenges with student self-discipline.The study concludes that this AI-enhanced blended model significantly improved student performance,engagement,and satisfaction in this EFL context.The findings offer practical insights for educators and platform developers,suggesting AI integration holds significant potential while highlighting areas for refinement.展开更多
Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s inter...Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s internet technology has achieved rapid development.Massive Open Online Course(MOOC),a blended learning approach based on internet technology,has strong applicability to medical education.It can not only improve teaching quality but also promote further reform of the discipline.Based on this,our study searched for relevant research at home and abroad and reviewed the implementation path of integrating MOOC and blended learning in oncology education.This provides a theoretical foundation for the innovation of oncology teaching models,improves the level of oncology teaching,and lays a solid foundation for talent reserves in oncology departments.展开更多
基金the support of the research commission of the Catholic University of Lille and its Foundationthe IEMN laboratory for the financial supportsupport from the Materials Research Institute (MRI) and the Institute of Energy and the Environment (IEE) of the Pennsylvania State University。
文摘Embedding a third and/or fourth component into a binary blend active layer of organic photovoltaics (OPVs) is a promising approach to achieve high-performance photovoltaic cells and modules. This multicomponent strategy favors absorption broadening via additional components. Quaternary OPV (QOPV) blends have four components in three possible configurations: (i) a donor and three acceptors, (ii) two donors and two acceptors, or (iii) three donors and an acceptor. Although quaternary systems have only been relatively recently studied compared to other systems in OPVs, leveraging the synergistic effects of the four components leads to record power conversion efficiencies, currently approaching 20%. QOPVs provide ample material choices for compatibility and channels for charge transfer mechanisms, possibly leading to optimized morphology and orientation. Reviewing recent progress in advancing QOPVs is essential for understanding their contribution to the OPV field. The review mainly discusses research progress in QOPVs with a keen interest in their various configurations, semitransparency, and outdoor and indoor applications. It describes the not-well-understood QOPV's general working mechanism. This review explores high-performance QOPVs based on the fourth component's contribution as a donor, acceptor, or dye molecule and beyond in photovoltaic applications. Finally, there is a discussion around QOPV's outlook and projected future research directions in this field. This review intends to provide an overview of the quaternary systems approach to OPVs and inform current and future researchers on investigating the full spectrum of OPVs.
基金supported by the National Natural Science Foundation of China (Grant Nos. 60978060 and 50602008)the Beijing Municipal Science & Technology Commission (Grant No. Z090803044009001)the Excellent Doctor’s Science and Technology Innovation Foundation of Beijing Jiaotong University of China (Grant No. 141107522)
文摘Organic solar cells based on poly（N-vinylcarbazole） （PVK）： porphyrin： tris （8-hydroxyquinolinato） aluminium （Alq3） blend p-n junction systems have been fabricated in this work. The roles of the different components in the blend system and of the amount of porphyrin have been investigated. The 5, 10, 15, 20-tetraphenylporphyrin （TPP） and 5, 10, 15, 20-tetra（o-chloro）phenylporphyrinato-copper （CuTC1PP） are used in the solar cells. The results show that TPP is better than CuTC1PP in enhancing the performance of PVK：Alq3 solar cells. When the weight ratio of PVK：TPP：Alq3 is 1：1.5：1, the best performance of solar cell is obtained. The open circuit voltage （Voc） is 0.87 V, and the short circuit current （Jsc） is 17.5 μA·cm-2. In the ternary bulk hereojunction system, the device may be regarded as a cascade of three devices of PVK：TPP, TPP：Alq3 and PVK：Alq3. PVK, TPP and Alq3 can improve the hole mobility, light absorption intensity and electron mobility of the ternary bulk hereojunction system, respectively.
基金made possible by PDRA(Grant No.PDRA1-0117-14109)from the Qatar National Research Fund(a member of Qatar Foundation)
文摘In this research, we report a bulk heterojunction（BHJ） solar cell consisting of a ternary blend system. Poly（3-hexylthiophene） P3 HT is used as a donor and [6,6]-phenyl C61-butyric acid methylester（PCBM） plays the role of acceptor whereas vanadyl 2,9,16,23-tetraphenoxy-29 H, 31H-phthalocyanine（VOPc Ph O） is selected as an ambipolar transport material. The materials are selected and assembled in such a fashion that the generated charge carriers could efficiently be transported rightwards within the blend. The organic BHJ solar cells consist of ITO/PEDOT：PSS/ternary BHJ blend/Al structure. The power conversion efficiencies of the ITO/ PEDOT：PSS/P3HT：PCBM/Al and ITO/PEDOT：PSS/P3HT：PCBM：VOPcPhO/Al solar cells are found to be 2.3% and 3.4%, respectively.
基金supported by the National Natural Science Foundation of China(No.52173017)the Project of Introducing Urgently Needed and Scarce Talents in Key Supported Regions of Shandong Province in 2024.
文摘High-entropy polymer blends composed of polypropylene(PP),polystyrene(PS),polyamide 6(PA6),poly(lactic acid)(PLA),and styrene-ethylene-butylene-styrene(SEBS)were successfully fabricated using maleic anhydride-grafted SEBS(SEBS-g-MAH)as a compatibilizer.Dynamic mechanical analysis(DMA),differential scanning calorimetry(DSC),scanning electron microscopy(SEM),and mechanical testing demonstrated that SEBS-g-MAH significantly enhanced the compatibility between the polar(PA6,PLA)and nonpolar(PP,PS,SEBS)components.The compatibilizer effectively refined the microstructure,substantially reduced the domain sizes,and blurred the phase boundaries,indicating enhanced interfacial interactions among all the components.The optimal compatibilizer content(15 wt%)notably increased tensile ductility(elongation at break from 5.0%to 23.7%)while maintaining balanced crystallization behavior,despite slightly decreasing modulus.This work not only demonstrates the broad applicability of high-entropy polymer blends as a sustainable strategy for converting complex,unsorted plastic waste into high-performance value-added materials that significantly contribute to plastic upcycling efforts,but also highlights intriguing physical phenomena emerging from such complex polymer systems.
基金“Research on Mental Health Education of Poor College Students-Based on the Perspective of‘New Campus’”Philosophy and Social Science Research Project of Universities in Jiangsu Province(2019SJB912)“Research on Mental Health Education of Poor College Students-Based on the Perspective of‘New Campus’”Special Topic of Ideological and Political Education for College Students in 2018(JDXGXB201801)“Research on College English Teaching Strategies from the Perspective of the Theory of Multiple Intelligences”Jiangsu Provincial University Philosophy and Social Sciences Research Project(2023SJYB2216)。
文摘College students’safety education is an important part of the fundamental task of fostering virtue through education in colleges and universities.A questionnaire survey at J University shows that the popularization degree and teaching satisfaction of college students’safety education are relatively high,but the teaching content and teaching forms still need improvement.With the rapid development of artificial intelligence technology and considering the char-acteristics of college students’online learning in the new era,carrying out the SPOC+PBL blended teaching reform not only helps to enhance the effectiveness of theoretical and practical teaching but also contributes to optimizing the teach-ing evaluation and feedback mechanism and strengthening students’problem-solving abilities.Therefore,we should adhere to the goal orientation,meticulously design the teaching plan,highlight the student-centered approach,focus on integrating teaching resources,strengthen process management,promptly provide feedback and guidance,empower with data,and continuously improve teaching evaluation.Thus,a student-centered SPOC+PBL blended teaching sys-tem can be constructed to empower the transformation and innovation of talent cultivation in higher education.
基金supported by Innovation Research Project for the training of high-level scientific and technological talents(Technical expert talents)of the Armed Police Force ZZKY20222415“13th Five-Year Plan”military key colleges and key disciplines-Equipment Engineering(Power)-17.
文摘Fuel injection properties,including the injection rate(temporal aspects)and spray behavior(spatial aspects),play a crucial role in the combustion efficiency and emissions of diesel engines.This study investigates the effects of different ethanol-biodiesel-diesel(EBD)blends on the injection performance in diesel engines.Experimental tests are conducted to examine key injection parameters,such as spray penetration distance,spray cone angle,and droplet size,alongside an analysis of coupling leakage.The main findings are as follows:(1)The injection behavior of ethanol and diesel differs significantly.The addition of ethanol reduces the density,viscosity,and modulus of elasticity of the fuel mixture.While the injection advance angle,penetration distance,and Sauter mean diameter show minimal changes,the spray cone angle and coupling leakage increase notably.These alterations may disrupt the“fuelair-chamber”matching characteristics of the original engine,potentially affecting performance.(2)In contrast,the injection performance of biodiesel ismore similar to that of diesel.As biodiesel content increases,the density,viscosity,and modulus of elasticity of the blended fuel also grow.Though changes in injection timing,penetration distance,and spray cone angle remain minimal,the Sauter mean diameter experiences a slight increase.The“air-fuel chamber”compatibility of the original engine is largely unaffected,though fuel atomization slightly deteriorates.Blending up to 20%biodiesel and 30%ethanol with diesel effectively compensates for the shortcomings of using single fuels,maintaining favorable injection dynamics while enhancing lubrication and sealing performance of engine components.
文摘The current work includes a numerical investigation of the effect of biodiesel blends with different aluminum oxide nanoparticle concentrations on the combustion process in the cylinder of a diesel engine.IC Engine Fluent,a specialist computational tool in the ANSYS software,was used to simulate internal combustion engine dynamics and combustion processes.Numerical analysis was carried out using biodiesel blends with three Al_(2)O_(3) nanoparticles in 50,100,and 150 ppm concentrations.The tested samples are called D100,B20,B20A50,B20A100,and B20A150 accordingly.The modeling runs were carried out at various engine loads of 0,100,and 200 Nm at a rated speed of 1800 rpm.The combustion characteristics are improved due to the catalytic effect and higher surface area of nano additives.The results showed the improvements in the combustion process as the result of nanoparticle addition,which led to the higher peak cylinder pressure.The increases in the peak cylinder pressures for B20A50,B20A100,and B20A150 about B20 were 3%,5%,and 8%,respectively,at load 200 Nm.The simulation found that the maximum temperature for biodiesel blends diesel was higher than pure diesel;this was due to higher hydrocarbon values of B20.Also,nano-additives caused a decrease in temperatures in the combustion of biofuels.
基金supported by the State Key Laboratory of Urban Water Resource and Environment,Harbin Institute of Technology (No. 2022TS10)the Taishan Industrial Experts Programthe Natural Science Foundation of Shandong Province of China (No. ZR2023ME212).
文摘Wet flue gas desulfurization(WFGD)could effectively reduce sulfur dioxide emission.However,magnesium sulfite(MgSO_(3)),a by-product of desulfurization,was easy to result in secondary pollution.In this study,the solid catalyst Co-Bent(bentonite supported cobalt)was prepared by blending method for MgSO_(3) oxidation with bentonite as the carrier and cobalt as the active component.At the calcination temperature of 550℃ and the Co loading level of 3 wt.%,the catalyst showed excellent catalytic performance for the oxidation of high concentration MgSO_(3) slurry,and the oxidation rate of MgSO_(3) was 0.13 mol/(L·h).The research indicated that the active component was uniformly distributed within porous structure of the catalyst as Co_(3)O_(4),which facilitated the oxidation of SO_(3)^(2-) catalyzed by Co_(3)O_(4).Kinetic researches indicated the oxidation rate of MgSO_(3) was influenced by the catalyst dosage,the reaction temperature,the solution pH,the airflow rate,and the SO_(3)^(2-) concentration.Additionally,after recycling experiments,the regenerated catalyst retained its high catalytic performance for the MgSO_(3) oxidation.The reaction mechanism for the catalytic oxidation of MgSO_(3) by Co-Bent catalyst was also proposed.The generation of active free radicals(OH·,SO_(4)^(-)·,SO_(3)^(-)·,SO_(5)^(-)·)accelerated the MgSO_(3) oxidation.These results provide theoretical support for the treatment of MgSO_(3) and the development of durable catalyst.
基金supported by the Industry-Academia Collaboration Project of the Ministry of Education:A Study on the Blended Teaching Model of Chinese-English Translation in the Era of Artificial Intelligence(Project Fund No.231001363084506).
文摘This article explores in-class practice of blended teaching of Chinese-English(C-E)translation for English as a Foreign Language(EFL)majors in the era of artificial intelligence(AI).It examines the opportunities and challenges AI presents in enhancing translation education,particularly in fostering student engagement,improving teaching efficiency,and promoting self-motivated learning.Case study suggests that AI can enhance the flexibility of teaching and motivate students,yet challenges such as over-reliance on AI and diminished critical thinking need to be addressed.While acknowledging the indispensability of human translators,the article concludes that effective blended teaching requires purposeful curriculum design,proper integration of AI,and a collaborative effort of teachers and students to maximize the potential of AI while ensuring high-quality,independent learning outcomes.
基金Universiti Teknologi PETRONAS for the financial support provided through the YUTP-FRG grant(015LC0-631).
文摘Polymeric materials have emerged as a promising alternative to electrolytic solutions in energy storage applications.However,high crystallinity and poor ionic conductivity are the main barriers restricting their daily application.In this study,we propose a polymer electrolyte system consisting of methylcellulose-polyvinyl alcohol(MC-PVA)blend as host material and lithium trifluoromethanesulfonate(LiCF_(3)SO_(3))as dopant,which was prepared using the solution-casting method.The electrochemical impedance spectroscopy(EIS)analysis revealed a maximum conductivity of 5.42×10^(−6) S cm^(−1) with 40 wt.%LiCF_(3)SO_(3).The key findings demonstrated that the variation in the dielectric loss(εi)and dielectric constant(εr)was significantly correlated with the variation in ionic conductivity.Fourier-transform infrared spectroscopy(FTIR)analysis was done to analyse the salt-polymer interaction by observing the shifting of selected bands.By deconvoluting FTIR spectra in the wavenumber range of 970–1100 cm^(−1),transport properties of electrolytes were investigated and found to be improved when the salt concentration was increased to 40 wt.%.Results from the X-ray diffraction(XRD)study suggested that the higher salt concentration promoted the formation of an amorphous phase,which is favourable for ionic conduction.Field emission scanning electron microscopy(FESEM)study demonstrated that the addition of salt altered the surface morphology of MC-PVA.
基金Hebei Province Higher Education Teaching Reform Research and Practice Program(Project No.:2022GJJG467)。
文摘With blended learning emerging as a mainstream paradigm in higher education,the Document Security Technology course faces persistent challenges,including vague instructional objectives and low learning efficiency.Simultaneously,the profession demands stronger self-directed learning capabilities from practitioners.To address these issues,this study develops a“Five-in-One”self-directed learning model comprising five interrelated dimensions:goal orientation,instructional regulation,cognitive development,technological resources,and process monitoring.The application of this model has significantly improved course evaluation outcomes,enhanced faculty teaching and research capacity,strengthened students’practical and innovative skills,and expanded the course’s reach and social impact.The model thus provides both a theoretical framework and a practical pathway for the reform of similar applied courses.
基金supported by the National Natural Science Foundation of China(No.21873021).
文摘Multi-component polymer systems exhibit exceptional versatility and structural diversity,making them indispensable in the polymer industry as well as in advanced and high performance applications.However,constructing accurate phase diagrams for these systems remains challenging due to inhomogeneous structures arising from the introduction of block copolymer components.Here,we present a unified and model-agnostic framework for computing phase equilibria in multi-component polymeric systems based on the concept of“effective chemical potential”.This approach directly connects key thermodynamic variables in the canonical ensemble to other ensembles,unifying phase coexistence determination without requiring the reformulation of self-consistent field theory(SCFT)calculations across different ensembles.By decoupling phase equilibrium determination from specific ensemble formulations,our approach enables the reuse of existing SCFT solvers.Moreover,it provides a useful framework to develop highly efficient phase equilibrium solvers for multi-component polymer systems.
文摘Delineation of hydrocarbon-bearing sands and the extent of accumulation using seismic data is a reoccurring challenge for many fields.This study addressed the existing challenges of delineating a known hydrocarbon region for a thin-pay reservoir using conventional attributes extraction methods.The efficacy of applying iso-frequency extraction and spectral frequency blending in identifying thin-pay and thick-pay reservoirs on seismic was tested by utilizing 3D seismic data and well logs data of Terra field in the Western Niger Delta Basin.Well tops of all the reservoirs in the field were picked and two reservoirs that correspond to thin-and thick-pay reservoirs,namely A and F were identified respectively.The gross pay thickness of reservoir A is 18 ft while that of reservoir F is 96 ft.Conventional attribute extraction such as RMS amplitude,minimum amplitude,and average energy can be used to identify the hydrocarbon-bearing region in reservoir F but was not applicable for identifying the thin-pay reservoir A.This prompted the interest of using iso-frequency extractions and spectral frequency blending of three iso-frequency cubes of 12 Hz,30 Hz,and 70 Hz to get a spectral frequency RGB cube.The 12 Hz isofrequency can be used to partially identify hydrocarbon-bearing region in reservoir A while the 30Hz iso-frequency can be used to partially identify hydrocarbon-bearing region in reservoir F.The results show that time slices from the spectral frequency blended cube were able to delineate both the thin-pay and thick-pay hydrocarbon-bearing regions as high amplitude.The extractions also conformed to the structure of the two reservoirs.However,there seems to be a color difference in the amplitude display for both reservoirs.The thick-pay reservoir showed a red color on the time slice while the thin-pay reservoir showed a green color.This study has shown that spectral frequency blending is a more effective tool than conventional attributes extractions in identifying hydrocarbon-bearing region using seismic data.The methodology utilized in this study can be applied to other fields with similar challenges and for identifying prospective hydrocarbon bearing areas.
基金support from the National Natural Science Foundation of China(22408004)the Scientific Research Foundation for the Introduction of Talent,Anhui University of Science and Technology(2023yjrc90)+1 种基金the Fundamental Research Funds of the AUST(2024JBQN0015)the Open Research Fund Program of Anhui Provincial Institute of Modern Coal Processing Technology,Anhui University of Science and Technology(MTY202302).
文摘China has abundant resources of high-alumina coal(HAC).However,its application as a raw gasification material is limited owing to high ash-fusion characteristics.For overcoming the limitation,this study employed Xinjiang coal(XJ),having a low ash fusion temperature,to improve the ash fusibility and viscosity of high-alumina Jungar coal(JG).The evolution of Al-containing phases and structures during mixed ash melting were investigated based on XRD,XPS,27Al NMR,high-temperature stage microscopy(HTSM),and thermodynamic simulations.An increase in the XJ mass ratio resulted in the transformation of gehlenite to anorthite and mullite,producing more amorphous materials at high temperature.These phenomena were manifested at a microscopic imaging as an increase in the number of reaction/melting sites and their area expansion rate,as well as a decrease in ash area shrinkage and melting temperature.Moreover,the introduction of XJ altered the alumina-oxygen network,reducing the binding to the silicaoxygen network and converting some[AlO_(6)]^(9-)to[AlO_(4)]^(5-)as the relative concentration of O_(2)-and O-increases.Consequently,the decrease in the stability of the aluminate structure improves the AFT and viscosity.Based on these results,a mechanism to improve the ash fusion characteristics of HAC based on coal blending is proposed.
文摘Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditional blended,blended online,and blended synchronous,which combine synchronous and asynchronous teaching and learning activities.This paper adopts an inductive approach to investigate and analyse students‘engagement in learning from three dimensions:behavioural,affective and cognitive,specifically focusing on three meta-categories,namely,course structure and arrangement,choice of teaching and learning activities,and teacher’s role in relation to the course,to investigate the teaching of teachers of different disciplines in three vocational colleges and to analyse the pedagogical strategies that the teachers use in order to improve students’engagement in blended learning.The findings suggest that communicating about the course at the beginning of the semester,clarifying course requirements,and building a trusting relationship with students play a key role in increasing student engagement in blended learning,and that the use of digital tools is an important means of promoting students’behavioural and emotional active participation in learning.
基金funded by the National Natural Science Foundation of China(No.51978048).
文摘The homogeneity of aggregate blend has a significant influence on the performance of asphalt mixture.The composition of aggregate blend,including the size combination and the mass ratio between each size particles(MRESP),is an important factor affecting the homogeneity.This study investigated the influence of the size combination and MRESP on the distribution homogeneity of particles in aggregate blend using discrete element method(DEM).An indicator quantifying the distribution homogeneity was established according to the coefficient of variation(CV)for particle number.Two-size,three-size,and four-size aggregate blends with various compositions were designed.Laboratory tests show the DEM simulation is feasible.The particle distribution homogeneity in various blends was analyzed.The results showed the distribution homogeneity of each size particles in a blend is closely related to their mass fraction.The higher the mass fraction of the particles,the more homogeneous the distribution of them.The MRESP has no significant influence on the homogeneity of the blend composed of only coarse aggregates.However,the homogeneity of the blend composed of coarse and fine aggregates improves gradually with the increase of the mass fraction of fine aggregates.The smaller the maximum particle size in a blend,the better the homogeneity.It is suggested that the mass fraction of fine aggregates should be between 33%and 50%for achieving good homogeneity of aggregate blends.The research results can provide a reference for gradation design of asphalt mixture.
文摘This paper focuses on the research on the teaching efficiency of ideological and political classrooms under the background of blended teaching.It analyzes the connotation and characteristics of blended teaching,explores the impact of blended teaching on the teaching efficiency of ideological and political classrooms from multiple aspects,and conducts empirical research through case analysis and data collection.The results show that blended teaching can effectively improve the teaching efficiency of ideological and political classrooms,enhance students’learning enthusiasm and participation,and promote the improvement of students’ideological and political qualities.Finally,corresponding suggestions and countermeasures are put forward to provide a reference for the improvement of the teaching quality of ideological and political courses.
基金supported by the 2024“Special Research Project on the Application of Artificial Intelligence in Empowering Teaching and Education”of Zhejiang Province Association of Higher Education(KT2024165).
文摘While artificial intelligence(AI)shows promise in education,its real-world effectiveness in specific settings like blended English as a Foreign Language(EFL)learning needs closer examination.This study investigated the impact of a blended teaching model incorporating AI tools on the Superstar Learning Platform for Chinese university EFL students.Using a mixed-methods approach,60 first-year students were randomized into an experimental group(using the AI-enhanced model)and a control group(traditional instruction)for 16 weeks.Data included test scores,learning behaviors(duration,task completion),satisfaction surveys,and interviews.Results showed the experimental group significantly outperformed the control group on post-tests and achieved larger learning gains.These students also demonstrated greater engagement through longer study times and higher task completion rates,and reported significantly higher satisfaction.Interviews confirmed these findings,with students attributing benefits to the model’s personalized guidance,structured content presentation(knowledge graphs),immediate responses,flexibility,and varied interaction methods.However,limitations were noted,including areas where the platform’s AI could be improved(e.g.,for assessing speaking/translation)and ongoing challenges with student self-discipline.The study concludes that this AI-enhanced blended model significantly improved student performance,engagement,and satisfaction in this EFL context.The findings offer practical insights for educators and platform developers,suggesting AI integration holds significant potential while highlighting areas for refinement.
基金Mechanism of Nanotechnology-driven Polyphyllin I in Sensitizing PD-1 Monoclonal Antibody in Breast Cancer(82204922)Nanotechnology-driven Polyphyllin I Affects Mitochondrial Homeostasis via Cuproptosis and Its Mechanism in Breast Cancer Treatment(ZZ18-YQ-022)。
文摘Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s internet technology has achieved rapid development.Massive Open Online Course(MOOC),a blended learning approach based on internet technology,has strong applicability to medical education.It can not only improve teaching quality but also promote further reform of the discipline.Based on this,our study searched for relevant research at home and abroad and reviewed the implementation path of integrating MOOC and blended learning in oncology education.This provides a theoretical foundation for the innovation of oncology teaching models,improves the level of oncology teaching,and lays a solid foundation for talent reserves in oncology departments.
