Food production demand is constantly growing,entailing a proportional increment in fertilisers and pharmaceuticals use,which are eventually introduced to the environment,leading,among others,to an imbalance in the nit...Food production demand is constantly growing,entailing a proportional increment in fertilisers and pharmaceuticals use,which are eventually introduced to the environment,leading,among others,to an imbalance in the nitrogen cycle.Electrochemical nitrate reduction reaction is a delocalised route for nitrates elimination and green ammonia production.In the present study,we carry out nitrates electroreduction over a commercial MoS_(2)catalyst,focusing on optimising selected input factors affecting the reaction.Concretely,Doehlert design of experiment and response surface methodology are employed to find the proper combination of supporting salt concentration in the electrolyte,applied potential,and catalyst loading at the working electrode,with the overall aim to boost Faradaic efficiency(FE)and ammonia production.As a matter of fact,varying these input factors,the obtained FE values ranged from∼2%to∼80%,highlighting the strength of the newly conceived approach.Moreover,our multivariate strategy allows the quantification of each factor effect and elucidates hidden interactions between them.Finally,successful extended durability tests are performed for 100 h at both FE and productivity(P)optimal conditions.In parallel,cell electrodes are characterised by in-depth structural,morphological,and surface techniques,before and after ageing,overall demonstrating the outstanding stability of the proposed electrochemical reactor.展开更多
Oxygenated fuels can reduce harmful emissions without affecting engine performance,meeting the big challenge in the transportation industry,which keeps the environment safe and reduces global warming.This study invest...Oxygenated fuels can reduce harmful emissions without affecting engine performance,meeting the big challenge in the transportation industry,which keeps the environment safe and reduces global warming.This study investigates the impact of biodiesel injection strategies and fuel injection pressures(FIP)on diesel engine exhaust emission characteristics.The engine is fuelled with 20%Jatropha biodiesel(JB)and 80%diesel,named JB20D.The ratios of fuel injection pressures started with injecting the fuel(diesel and JB20D)from 200 bar to 500 bar.The experimental outcomes indicate that the engine performance of brake-specific fuel consumption increased by 21.36%from the burning of JB20D compared with diesel,while brake thermal efficiency improved by 6.54%for low and high FIP compared to the diesel.The high fuel injection pressures slightly decrease the nitrogen oxide(NOX)emissions for both diesel and biodiesel.The emissions of NOX decreased from the combustion of JB20D by 18.7%under high fuel injection pressures compared to diesel.The concentration of soot particulate decreased by 20.4%form JB20D combustion than those combusted from diesel fuel.展开更多
In this paper,we develop a quantum communication protocol for the simultaneous preparation of a two-qubit and a three-qubit state at the positions of two different parties situated spatially apart.For one party,Alice,...In this paper,we develop a quantum communication protocol for the simultaneous preparation of a two-qubit and a three-qubit state at the positions of two different parties situated spatially apart.For one party,Alice,it is a remote state preparation of a known two-qubit state while for the other party,Bob,it is a joint remote state preparation with the help of a third party,Eve.The protocol is executed in a hybrid form bi-directionally in the presence of two controllers,Charlie and David.There is a hierarchy in the process through different levels of control under which the actions by Alice and Bob are performed.There is a need for a ten-qubit entangled channel connecting the five parties.The generation of this channel through a circuit is discussed.The protocol is executed on the IBM Quantum platform.We also study the effect of noise on our protocol.Here,amplitude-damping,bit-flip and phase-flip noisy environments are considered and the corresponding variations of fidelity are theoretically and numerically analyzed.展开更多
The worsening of global warming due to burning fossil fuels and the global energy crisis have led to an urgent need for renewable and clean energy sources that have little impact on the environment.One of the most imp...The worsening of global warming due to burning fossil fuels and the global energy crisis have led to an urgent need for renewable and clean energy sources that have little impact on the environment.One of the most important and largest alternative energy sources is marine waves,which have enormous energy that can be utilized using the correct and appropriate methods.The present work aims to study the possibility of investing wave energy by extracting the wave power at the northern coasts of the Arabian Gulf using numerical models for zero crossing and spectral analysis methods(SWAN model).Numerical models were used to analyze metrological data to estimate the wave power,estimated at 0.2664 kW/m by the zero-crossing method,and 0.386 kW/m by the spectral analysis method at a depth of 19 meters.The weak wave power may be due to the shallowness of the Gulf compared to other seas,in addition to the weather conditions in the study area,which are directly affected by weather phenomena,especially wind speed.The research recommends conducting further studies on wave energy and studying the most advanced methods for extracting it because of its great economic returns for Iraq.展开更多
Background Non-suicidal self-injury(NSSI)is a significant health concern among adolescents and young adults,often resulting from adverse childhood experiences(ACEs).Dissociation,post-traumatic symptoms and attachment ...Background Non-suicidal self-injury(NSSI)is a significant health concern among adolescents and young adults,often resulting from adverse childhood experiences(ACEs).Dissociation,post-traumatic symptoms and attachment style may have a role in shaping such associations.Aims This study aims to provide a unified model of the impact of ACEs on NSSI,exploring complex post-traumatic stress disorder(cPTSD)symptoms and dissociation as potential mediators and the role of the predominant attachment style in affecting such associations.Methods 1010 young individuals attending the last year of high school participated in this cross-sectional study.ACEs,cPTSD,dissociation and NSSI were evaluated using self-report questionnaires.We fitted a path model of NSSI,with ACEs as exogenous variables and cPTSD and dissociation as sequential mediators.Secure,fearful and preoccupied attachment styles were modelled as grouping variables.Results Our findings showed that dissociation mediated the impact of ACEs on NSSI in subjects with a fearful attachment style,as opposed to those with a preoccupied attachment for whom cPTSD symptoms mediated the ACEs-NSSI association.Conclusions Attachment styles moderate the relationship between ACEs and NSSI,with either dissociation or post-traumatic symptomatology mediating the impact of ACEs on NSSI,depending on the predominant attachment style.Our results highlight the importance of attachment as a pathway modifier in the relationships between different psychopathology dimensions,providing a useful framework to better conceptualise the ACEs-NSSI association.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
Computational modeling plays a vital role in advancing our understanding and application of soliton theory.It allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton...Computational modeling plays a vital role in advancing our understanding and application of soliton theory.It allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton solutions.In the present study,we computationally derive the bright and dark optical solitons for a Schrödinger equation that contains a specific type of nonlinearity.This nonlinearity in the model is the result of the combination of the parabolic law and the non-local law of self-phase modulation structures.The numerical simulation is accomplished through the application of an algorithm that integrates the classical Adomian method with the Laplace transform.The results obtained have not been previously reported for this type of nonlinearity.Additionally,for the purpose of comparison,the numerical examination has taken into account some scenarios with fixed parameter values.Notably,the numerical derivation of solitons without the assistance of an exact solution is an exceptional take-home lesson fromthis study.Furthermore,the proposed approach is demonstrated to possess optimal computational accuracy in the results presentation,which includes error tables and graphs.It is important tomention that themethodology employed in this study does not involve any form of linearization,discretization,or perturbation.Consequently,the physical nature of the problem to be solved remains unaltered,which is one of the main advantages.展开更多
The growing demand for flexible,lightweight,and highly processable electronic devices makes high-functionality conducting polymers such as poly(3,4-ethylene dioxythiophene):polystyrene sulfonate(PEDOT:PSS)an attractiv...The growing demand for flexible,lightweight,and highly processable electronic devices makes high-functionality conducting polymers such as poly(3,4-ethylene dioxythiophene):polystyrene sulfonate(PEDOT:PSS)an attractive alternative to conventional inorganic materials for various applications including thermoelectrics.However,considerable improvements are necessary to make conducting polymers a commercially viable choice for thermoelectric applications.This study explores nanopatterning as an effective and unique strategy for enhancing polymer functionality to optimize thermoelectric parameters,such as electrical conductivity,Seebeck coefficient,and thermal conductivity.Introducing nanopatterning into thermoelectric polymers is challenging due to intricate technical hurdles and the necessity for individually manipulating the interdependent thermoelectric parameters.Here,array nanopatterns with different pattern spacings are imposed on free-standing PEDOT:PSS films using direct electron beam irradiation,thereby achieving selective control of electrical and thermal transport in PEDOT:PSS.Electron beam irradiation transformed PEDOT:PSS from a highly ordered quinoid to an amorphous benzoid structure.Optimized pattern spacing resulted in a remarkable 70%reduction in thermal conductivity and a 60%increase in thermoelectric figure of merit compared to non-patterned PEDOT:PSS.The proposed nanopatterning methodology demonstrates a skillful approach to precisely manipulate the thermoelectric parameters,thereby improving the thermoelectric performance of conducting polymers,and promising utilization in cutting-edge electronic applications.展开更多
We have proposed a methodology to assess the robustness of underground tunnels against potential failure.This involves developing vulnerability functions for various qualities of rock mass and static loading intensiti...We have proposed a methodology to assess the robustness of underground tunnels against potential failure.This involves developing vulnerability functions for various qualities of rock mass and static loading intensities.To account for these variations,we utilized a Monte Carlo Simulation(MCS)technique coupled with the finite difference code FLAC^(3D),to conduct two thousand seven hundred numerical simulations of a horseshoe tunnel located within a rock mass with different geological strength index system(GSIs)and subjected to different states of static loading.To quantify the severity of damage within the rock mass,we selected one stress-based(brittle shear ratio(BSR))and one strain-based failure criterion(plastic damage index(PDI)).Based on these criteria,we then developed fragility curves.Additionally,we used mathematical approximation techniques to produce vulnerability functions that relate the probabilities of various damage states to loading intensities for different quality classes of blocky rock mass.The results indicated that the fragility curves we obtained could accurately depict the evolution of the inner and outer shell damage around the tunnel.Therefore,we have provided engineers with a tool that can predict levels of damages associated with different failure mechanisms based on variations in rock mass quality and in situ stress state.Our method is a numerically developed,multi-variate approach that can aid engineers in making informed decisions about the robustness of underground tunnels.展开更多
Cerium tartrate(CeTar),produced in this study by precipitating cerium nitrate with potassium sodium tartrate(KNaTar),was examined as a corrosion inhibitor.Weight loss tests show inhibition efficiency of 71.7% with Ce(...Cerium tartrate(CeTar),produced in this study by precipitating cerium nitrate with potassium sodium tartrate(KNaTar),was examined as a corrosion inhibitor.Weight loss tests show inhibition efficiency of 71.7% with Ce(NO_(3))_(3) and 88.7% with CeTar inhibitor for one-month exposure to mild steel in 7 g/L NaCl solution.The inhibition efficiency drops to 28.6% with the fo rmer and remains around 8 7% with the latter inhibitor after six months of exposure.Similar results from electrochemical testing indicate that the inhibition efficiency decreases by adding cerium nitrate.Still,the cerium tartrate inhibitor demonstrates a nearly constant inhibition efficiency for up to 30 d,i.e.,≈90%.Electrochemical impedance spectroscopy(EIS) performed in these cases shows the following results:(ⅰ) with cerium nitrate,a film of iron and cerium oxide,which on prolonged exposure diminishes,and(ⅱ) with cerium tartrate,the formation of a bimetallic film(Fe-tartrate-Ce) and a mixture of cerium hydroxide and iro n oxide that protects steel for a longer duration.These inferences are based on the analyses of scanning electron microscopy/energydispersive X-ray analysis(SEM/EDAX),X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),X-ray photoelectron(XPS),and Raman spectroscopy results.展开更多
The existence and risk of emerging organic contaminants(EOCs)have been under consideration and paid much effort to degrade these pollutants.Fenton system is one of the most widely used technologies to solve this probl...The existence and risk of emerging organic contaminants(EOCs)have been under consideration and paid much effort to degrade these pollutants.Fenton system is one of the most widely used technologies to solve this problem.The original Fenton system relies on the hydroxyl radicals produced by Fe(Ⅱ)/H_(2)O_(2) to oxidize the organic contaminants.However,the application of the Fenton system is limited by its low iron cycling efficiency and the high risks of hydrogen peroxide transportation and storage.The introduction of external energy(including light and electricity etc.)can effectively promote the Fe(Ⅲ)/Fe(Ⅱ)cycle and the reduction of oxygen to produce hydrogen peroxide in situ.This review introduces three in-situ Fenton systems,which are electro-Fenton,Photo-Fenton,and chemical reaction.The mechanism,influencing factors,and catalysts of these three in-situ Fenton systems in degrading EOCs are discussed systematically.This review strengthens the understanding of Fenton and in-situ Fenton systems in degradation,offering further insight into the real application of the in-situ Fenton system in the removal of EOCs.展开更多
The growing global requirement for food and the need for sustainable farming in an era of a changing climate and scarce resources have inspired substantial crop yield prediction research.Deep learning(DL)and machine l...The growing global requirement for food and the need for sustainable farming in an era of a changing climate and scarce resources have inspired substantial crop yield prediction research.Deep learning(DL)and machine learning(ML)models effectively deal with such challenges.This research paper comprehensively analyses recent advancements in crop yield prediction from January 2016 to March 2024.In addition,it analyses the effectiveness of various input parameters considered in crop yield prediction models.We conducted an in-depth search and gathered studies that employed crop modeling and AI-based methods to predict crop yield.The total number of articles reviewed for crop yield prediction using ML,meta-modeling(Crop models coupled with ML/DL),and DL-based prediction models and input parameter selection is 125.We conduct the research by setting up five objectives for this research and discussing them after analyzing the selected research papers.Each study is assessed based on the crop type,input parameters employed for prediction,the modeling techniques adopted,and the evaluation metrics used for estimatingmodel performance.We also discuss the ethical and social impacts of AI on agriculture.However,various approaches presented in the scientific literature have delivered impressive predictions,they are complicateddue to intricate,multifactorial influences oncropgrowthand theneed for accuratedata-driven models.Therefore,thorough research is required to deal with challenges in predicting agricultural output.展开更多
We report an economical approach for the fabrication of laser-produced graphene(LPG)electrodes,which results in an improved electrochemical performance.Polyimide polymer was used as the starting material for LPG synth...We report an economical approach for the fabrication of laser-produced graphene(LPG)electrodes,which results in an improved electrochemical performance.Polyimide polymer was used as the starting material for LPG synthesis and was irradiated under ambient conditions with a CO_(2) laser.The prepared LPG samples were characterized by Raman spectroscopy and FTIR,which validated the formation of multilayer graphene containing sp2 hybridized C=C bonds.FE-SEM revealed three-dimensional(3D)sheet-like structures,while HR-TEM images showed lattice planes with an interplanar spacing of approximately 0.33 nm,corres-ponding to the(002)plane of graphene.Their electrochemical performance showed a remarkable areal specific capacitance(CA)of 51 mF cm^(−2)(170 F g^(-1))at 1 mA cm^(−2)(3.3 A g^(-1))in a three-electrode configuration with 1 mol L^(−1) KOH as the aqueous electrolyte.The LPG electrodes produced an energy density of~3.5μWh cm^(−2) and a power density of~350μW cm^(−2),demonstrating signific-ant energy storage ability.They also had an excellent cycling stability,retaining 87%of their specific capacitance after 3000 cycles at 1 mA/cm^(2).A symmetric supercapacitor fabricated with LPG electrodes and the 1 mol L^(−1) KOH electrolyte had a specific capacit-ance of 23 mF cm^(−2) and showed excellent retention after 10000 cycles,showing LPG’s potential for use in supercapacitors.展开更多
The increasing demand for hydrogen energy to address environmental issues and achieve carbon neutrality has elevated interest in green hydrogen production,which does not rely on fossil fuels.Among various hydrogen pro...The increasing demand for hydrogen energy to address environmental issues and achieve carbon neutrality has elevated interest in green hydrogen production,which does not rely on fossil fuels.Among various hydrogen production technologies,anion exchange membrane water electrolyzer(AEMWE)has emerged as a next-generation technology known for its high hydrogen production efficiency and its ability to use non-metal catalysts.However,this technology faces significant challenges,particularly in terms of the membrane durability and low ionic conductivity.To address these challenges,research efforts have focused on developing membranes with a new backbone structure and anion exchange groups to enhance durability and ionic conductivity.Notably,the super-acid-catalyzed condensation(SACC)synthesis method stands out due to its user convenience,the ability to create high molecular weight(MW)polymers,and the use of oxygen-tolerant organic catalysts.Although the synthesis of anion exchange membranes(AEMs)using the SACC method began in 2015,and despite growing interest in this synthesis approach,there remains a scarcity of review papers focusing on AEMs synthesized using the SACC method.The review covers the basics of SACC synthesis,presents various polymers synthesized using this method,and summarizes the development of these polymers,particularly their building blocks including aryl,ketone,and anion exchange groups.We systematically describe the effects of changes in the molecular structure of each polymer component,conducted by various research groups,on the mechanical properties,conductivity,and operational stability of the membrane.This review will provide insights into the development of AEMs with superior performance and operational stability suitable for water electrolysis applications.展开更多
Introduction: This study assesses rural providers’ perceptions of their ability to deliver high quality care via telehealth compared to usual care, and whether attending providers perceive that emergency department (...Introduction: This study assesses rural providers’ perceptions of their ability to deliver high quality care via telehealth compared to usual care, and whether attending providers perceive that emergency department (ED) telehealth visits influence clinical reasoning in regard to patient disposition, specifically in tele-behavioral and tele-neurological cases. Methods: A cross-sectional survey was conducted of 134 ED providers (nurses [n = 126] and physicians [n = 8]) who were working in five Midwestern critical access hospitals (response rate 83%). Descriptive, correlational and stepwise regression analyses were employed to evaluate provider perceptions of 1) competency level in telehealth delivery, 2) patient health outcomes, 3) access to continuing education in telehealth, and 4) clinical influence of telehealth visit. Evaluation of preliminary set of N = 100 telehealth cases were assessed for influence of telehealth on clinical reasoning of attending physicians regarding patient disposition. Results: The majority (67%;n = 90) of participants had at least minimal experience with telehealth care delivery, with an average of 1 - 2 visits in teleneurology, and 3 - 4 visits in telebehavioral cases. Providers rated their overall mean competency level in telehealth care delivery as 3.01/5.00 based on a 5 point “novice (1) to expert” (5) scale. Mean scores for providers perceived competency level in 7 evidence-based sub-categories for telehealth care delivery were self-reported as relatively low to mid-range values, ranging from 2.64 - 3.57/5.00. Stepwise linear regression analysis of whether all providers “would recommend telehealth to their family and friends” revealed two predictors for model of best fit (n = 81;p 2 = 0.598): 1) their perceptions of telehealth experience compared to usual care;and 2) perceptions of patient health outcomes with telehealth compared to usual care. Providers rated “neutral” to “very unlikely” that they “would recommend telehealth to family and friends” (2.75/5.00;n = 122;91%). Attending physicians reported that for a majority of cases, telehealth visits influenced patient disposition and transfer decision-making (58.4%), and the influence of telehealth visits on patient disposition was statistically significantly higher for behavioral health cases (p Discussion: This study will be followed on to inform administrators/policy makers about 1) perceived level of competency of providers who implement tele-emergency care, 2) potential importance of telehealth equipment used and teamwork between rural providers and distant specialist, and 3) how use of telehealth may enhance ability of rural ED providers to improve quality of care. Perceived influence of telehealth on patient disposition is reported to be highest for telebehavioral patients. Healthcare educators need to place a priority on addressing provider competencies in telehealth through health professions degree programs and continuing education. Further research is needed to promote application and testing of evidence-based provider competencies in telehealth, and potentially relevant health communication models, to increase providers’ perceived efficacy and competency in telehealth care delivery, thus supporting high quality patient health outcomes.展开更多
Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and segmentation of brain tumours would be beneficial, current methods...Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and segmentation of brain tumours would be beneficial, current methods still need to solve this problem despite the numerous available approaches. Precise analysis of Magnetic Resonance Imaging (MRI) is crucial for detecting, segmenting, and classifying brain tumours in medical diagnostics. Magnetic Resonance Imaging is a vital component in medical diagnosis, and it requires precise, efficient, careful, efficient, and reliable image analysis techniques. The authors developed a Deep Learning (DL) fusion model to classify brain tumours reliably. Deep Learning models require large amounts of training data to achieve good results, so the researchers utilised data augmentation techniques to increase the dataset size for training models. VGG16, ResNet50, and convolutional deep belief networks networks extracted deep features from MRI images. Softmax was used as the classifier, and the training set was supplemented with intentionally created MRI images of brain tumours in addition to the genuine ones. The features of two DL models were combined in the proposed model to generate a fusion model, which significantly increased classification accuracy. An openly accessible dataset from the internet was used to test the model's performance, and the experimental results showed that the proposed fusion model achieved a classification accuracy of 98.98%. Finally, the results were compared with existing methods, and the proposed model outperformed them significantly.展开更多
Geomechanical parameters of intact metamorphic rocks determined from laboratory testing remain highly uncertain because of the great intrinsic variability associated with the degrees of metamorphism.The aim of this pa...Geomechanical parameters of intact metamorphic rocks determined from laboratory testing remain highly uncertain because of the great intrinsic variability associated with the degrees of metamorphism.The aim of this paper is to develop a proper methodology to analyze the uncertainties of geomechanical characteristics by focusing on three domains,i.e.data treatment process,schistosity angle,and mineralogy.First,the variabilities of the geomechanical laboratory data of Westwood Mine(Quebec,Canada)were examined statistically by applying different data treatment techniques,through which the most suitable outlier methods were selected for each parameter using multiple decision-making criteria and engineering judgment.Results indicated that some methods exhibited better performance in identifying the possible outliers,although several others were unsuccessful because of their limitation in large sample size.The well-known boxplot method might not be the best outlier method for most geomechanical parameters because its calculated confidence range was not acceptable according to engineering judgment.However,several approaches,including adjusted boxplot,2MADe,and 2SD,worked very well in the detection of true outliers.Also,the statistical tests indicate that the best-fitting probability distribution function for geomechanical intact parameters might not be the normal distribution,unlike what is assumed in most geomechanical studies.Moreover,the negative effects of schistosity angle on the uniaxial compressive strength(UCS)variabilities were reduced by excluding the samples within a specific angle range where the UCS data present the highest variation.Finally,a petrographic analysis was conducted to assess the associated uncertainties such that a logical link was found between the dispersion and the variabilities of hard and soft minerals.展开更多
To address climate change and promote environmental sustainability,electrochemical energy conversion and storage systems emerge as promising alternative to fossil fuels,catering to the escalating demand for energy.Ach...To address climate change and promote environmental sustainability,electrochemical energy conversion and storage systems emerge as promising alternative to fossil fuels,catering to the escalating demand for energy.Achieving optimal energy efficiency and cost competitiveness in these systems requires the strategic design of electrocatalysts,coupled with a thorough comprehension of the underlying mechanisms and degradation behavior occurring during the electrocatalysis processes.Scanning electrochemical microscopy(SECM),an analytical technique for studying surface electrochemically,stands out as a powerful tool offering electrochemical insights.It possesses remarkable spatiotemporal resolution,enabling the visualization of the localized electrochemical activity and surface topography.This review compiles crucial research findings and recent breakthroughs in electrocatalytic processes utilizing the SECM methodology,specifically focusing on applications in electrolysis,fuel cells,and metal–oxygen batteries within the realm of energy conversion and storage systems.Commencing with an overview of each energy system,the review introduces the fundamental principles of SECM,and aiming to provide new perspectives and broadening the scope of applied research by describing the major research categories within SECM.展开更多
We investigated spinel chalcogenides HgLa_(2)(S/Se)_(4)by using density function theory,and scrutinized the structural,optical,electrical,mechanical and thermoelectric transport characteristics of HgLa_(2)(S/Se)_(4)sp...We investigated spinel chalcogenides HgLa_(2)(S/Se)_(4)by using density function theory,and scrutinized the structural,optical,electrical,mechanical and thermoelectric transport characteristics of HgLa_(2)(S/Se)_(4)spinel chalcogenides.The enthalpy of formation,energy of cohesion,and energy volume optimum plots were used to obtain the stability as well as the perfect ground state of these materials.The ductility of these materials was the best illustrated with the help of Poisson's and Pugh's ratios.The band gap results were obtained using Trans and Blaha modified Becke-Johanson potential(TB-mBJ).Both the materials present semi-conducting nature with direct band gap equal to 1.449 and 0.892 eV respectively for HgLa_(2)S_(4)and HgLa_(2)Se_(4).Calculations were also made for optical characteristics with the values of dielectric function,absorption coefficient,optical conductivity,reflectivity,and refractive indices.According to the findings,both of these materials are suitable for infrared optoelectronic applications.These materials were found to have promising optoelectronic and thermoelectric applications after their optical properties and transport aspects were evaluated.Despite tiny levels of temperature conductivities,substantial am ounts of power conductivities,the figure of merit(more than unity),as well as Seebecs coefficients all point to the potential use of both the materials in thermoelectric power generators.展开更多
Soil erosion has been identified as one of the most destructive forms of land degradation,posing a threat to the sustainability of global economic,social and environmental systems.This underscores the need for sustain...Soil erosion has been identified as one of the most destructive forms of land degradation,posing a threat to the sustainability of global economic,social and environmental systems.This underscores the need for sustainable land management that takes erosion control and prevention into consideration.This requires the use of state-of-the-art erosion prediction models.The models often require extensive input of detailed spatial and temporal data,some of which are not readily available in many developing countries,particularly detailed soil data.The soil dataset Global Gridded Soil Information(SoilGrids)could potentially fill the data gap.Nevertheless,its value and accuracy for soil erosion modelling in the humid tropics is still unknown,necessitating the need to assess its value vis-à-vis field-based data.The major objective of this study was to conduct a comparative assessment of the value of SoilGrids and field-based soil data for estimating soil loss.Soil samples were collected from five physiographic positions(summit,shoulder,back slope,foot slope,and toe slope)using the soil catena approach.Samples were collected using a 5-cm steel sample ring(undisturbed)and a spade(disturbed).Data of the landform,predominant vegetation types,canopy cover,average plant height,land use,soil depth,shear strength,and soil color were recorded for each site.The soil samples were subjected to laboratory analysis for saturated hydraulic conductivity,bulk density,particle size distribution,and organic matter content.Pedotransfer functions were applied on the SoilGrids and field-based data to generate soil hydrological properties.The resultant field-based data were compared with the SoilGrids data for corresponding points/areas to determine the potential similarities of the two datasets.Both datasets were then used as inputs for soil erosion assessment using the revised Morgan-Morgan-Finney model.The results from both datasets were again compared to determine the degree of similarity.The results showed that with respect to point-based comparison,both datasets were significantly different.At the hillslope delineation level,the field-based data still consistently had a greater degree of variability,but the hillslope averages were not significantly different for both datasets.Similar results were recorded with the soil loss parameters generated from both datasets;point-based comparison showed that both datasets were significantly different,whereas the reverse was true for parcel/area-based comparison.SoilGrids data are certainly useful,especially where soil data are lacking;the utility of this dataset is,however,dependent on the scale of operation or the extent of detail required.When detailed,site-specific data are required,SoilGrids may not be a good alternative to soil survey data in the humid tropics.On the other hand,if the average soil properties of a region,area,or land parcel are required for the implementation of a particular project,plan,or program,SoilGrids data can be a very valuable alternative to soil survey data.展开更多
基金This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 948769, project title: SuN_2rise)the 《HYDREAM》 project–funded by European Union-Next Generation EU–within the PRIN 2022 program (D.D. 104-02/02/2022 Ministero dell’Università e della Ricerca)supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 101107906
文摘Food production demand is constantly growing,entailing a proportional increment in fertilisers and pharmaceuticals use,which are eventually introduced to the environment,leading,among others,to an imbalance in the nitrogen cycle.Electrochemical nitrate reduction reaction is a delocalised route for nitrates elimination and green ammonia production.In the present study,we carry out nitrates electroreduction over a commercial MoS_(2)catalyst,focusing on optimising selected input factors affecting the reaction.Concretely,Doehlert design of experiment and response surface methodology are employed to find the proper combination of supporting salt concentration in the electrolyte,applied potential,and catalyst loading at the working electrode,with the overall aim to boost Faradaic efficiency(FE)and ammonia production.As a matter of fact,varying these input factors,the obtained FE values ranged from∼2%to∼80%,highlighting the strength of the newly conceived approach.Moreover,our multivariate strategy allows the quantification of each factor effect and elucidates hidden interactions between them.Finally,successful extended durability tests are performed for 100 h at both FE and productivity(P)optimal conditions.In parallel,cell electrodes are characterised by in-depth structural,morphological,and surface techniques,before and after ageing,overall demonstrating the outstanding stability of the proposed electrochemical reactor.
文摘Oxygenated fuels can reduce harmful emissions without affecting engine performance,meeting the big challenge in the transportation industry,which keeps the environment safe and reduces global warming.This study investigates the impact of biodiesel injection strategies and fuel injection pressures(FIP)on diesel engine exhaust emission characteristics.The engine is fuelled with 20%Jatropha biodiesel(JB)and 80%diesel,named JB20D.The ratios of fuel injection pressures started with injecting the fuel(diesel and JB20D)from 200 bar to 500 bar.The experimental outcomes indicate that the engine performance of brake-specific fuel consumption increased by 21.36%from the burning of JB20D compared with diesel,while brake thermal efficiency improved by 6.54%for low and high FIP compared to the diesel.The high fuel injection pressures slightly decrease the nitrogen oxide(NOX)emissions for both diesel and biodiesel.The emissions of NOX decreased from the combustion of JB20D by 18.7%under high fuel injection pressures compared to diesel.The concentration of soot particulate decreased by 20.4%form JB20D combustion than those combusted from diesel fuel.
基金supported by the the University Grants Commission(UGC),Government of India(NTA Ref.No.:211610140697,dated:19th April 2022)supported by the Indian Institute of Engineering Science and Technology,Shibpur。
文摘In this paper,we develop a quantum communication protocol for the simultaneous preparation of a two-qubit and a three-qubit state at the positions of two different parties situated spatially apart.For one party,Alice,it is a remote state preparation of a known two-qubit state while for the other party,Bob,it is a joint remote state preparation with the help of a third party,Eve.The protocol is executed in a hybrid form bi-directionally in the presence of two controllers,Charlie and David.There is a hierarchy in the process through different levels of control under which the actions by Alice and Bob are performed.There is a need for a ten-qubit entangled channel connecting the five parties.The generation of this channel through a circuit is discussed.The protocol is executed on the IBM Quantum platform.We also study the effect of noise on our protocol.Here,amplitude-damping,bit-flip and phase-flip noisy environments are considered and the corresponding variations of fidelity are theoretically and numerically analyzed.
文摘The worsening of global warming due to burning fossil fuels and the global energy crisis have led to an urgent need for renewable and clean energy sources that have little impact on the environment.One of the most important and largest alternative energy sources is marine waves,which have enormous energy that can be utilized using the correct and appropriate methods.The present work aims to study the possibility of investing wave energy by extracting the wave power at the northern coasts of the Arabian Gulf using numerical models for zero crossing and spectral analysis methods(SWAN model).Numerical models were used to analyze metrological data to estimate the wave power,estimated at 0.2664 kW/m by the zero-crossing method,and 0.386 kW/m by the spectral analysis method at a depth of 19 meters.The weak wave power may be due to the shallowness of the Gulf compared to other seas,in addition to the weather conditions in the study area,which are directly affected by weather phenomena,especially wind speed.The research recommends conducting further studies on wave energy and studying the most advanced methods for extracting it because of its great economic returns for Iraq.
基金supported by #NEXTGENERATIONEU(NGEU)and funded by the Ministry of University and Research(MUR),National Recovery and Resilience Plan(NRRP),project MNESYS(PE0000006)-(DN.155311.10.2022)supported by Sapienza Grant 2021(RM12117A60BDF685).
文摘Background Non-suicidal self-injury(NSSI)is a significant health concern among adolescents and young adults,often resulting from adverse childhood experiences(ACEs).Dissociation,post-traumatic symptoms and attachment style may have a role in shaping such associations.Aims This study aims to provide a unified model of the impact of ACEs on NSSI,exploring complex post-traumatic stress disorder(cPTSD)symptoms and dissociation as potential mediators and the role of the predominant attachment style in affecting such associations.Methods 1010 young individuals attending the last year of high school participated in this cross-sectional study.ACEs,cPTSD,dissociation and NSSI were evaluated using self-report questionnaires.We fitted a path model of NSSI,with ACEs as exogenous variables and cPTSD and dissociation as sequential mediators.Secure,fearful and preoccupied attachment styles were modelled as grouping variables.Results Our findings showed that dissociation mediated the impact of ACEs on NSSI in subjects with a fearful attachment style,as opposed to those with a preoccupied attachment for whom cPTSD symptoms mediated the ACEs-NSSI association.Conclusions Attachment styles moderate the relationship between ACEs and NSSI,with either dissociation or post-traumatic symptomatology mediating the impact of ACEs on NSSI,depending on the predominant attachment style.Our results highlight the importance of attachment as a pathway modifier in the relationships between different psychopathology dimensions,providing a useful framework to better conceptualise the ACEs-NSSI association.
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.
文摘Computational modeling plays a vital role in advancing our understanding and application of soliton theory.It allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton solutions.In the present study,we computationally derive the bright and dark optical solitons for a Schrödinger equation that contains a specific type of nonlinearity.This nonlinearity in the model is the result of the combination of the parabolic law and the non-local law of self-phase modulation structures.The numerical simulation is accomplished through the application of an algorithm that integrates the classical Adomian method with the Laplace transform.The results obtained have not been previously reported for this type of nonlinearity.Additionally,for the purpose of comparison,the numerical examination has taken into account some scenarios with fixed parameter values.Notably,the numerical derivation of solitons without the assistance of an exact solution is an exceptional take-home lesson fromthis study.Furthermore,the proposed approach is demonstrated to possess optimal computational accuracy in the results presentation,which includes error tables and graphs.It is important tomention that themethodology employed in this study does not involve any form of linearization,discretization,or perturbation.Consequently,the physical nature of the problem to be solved remains unaltered,which is one of the main advantages.
基金supported by Characterization of Mechanical/Thermal/Chemical Properties of EUV Absorption/Transmission Materials through the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT(Grant 2020-M3H4A3081882)by the Korea Institute of Energy Technology Evaluation and Planning(KETEP)grant funded by the Ministry of Trade,Industry and Energy(MOTIE)(No.2021202080023D)the Characterization Platform for Advanced Materials(KRISS-2022-GP2022-0013)funded by the Korea Research Institute of Standards and Science。
文摘The growing demand for flexible,lightweight,and highly processable electronic devices makes high-functionality conducting polymers such as poly(3,4-ethylene dioxythiophene):polystyrene sulfonate(PEDOT:PSS)an attractive alternative to conventional inorganic materials for various applications including thermoelectrics.However,considerable improvements are necessary to make conducting polymers a commercially viable choice for thermoelectric applications.This study explores nanopatterning as an effective and unique strategy for enhancing polymer functionality to optimize thermoelectric parameters,such as electrical conductivity,Seebeck coefficient,and thermal conductivity.Introducing nanopatterning into thermoelectric polymers is challenging due to intricate technical hurdles and the necessity for individually manipulating the interdependent thermoelectric parameters.Here,array nanopatterns with different pattern spacings are imposed on free-standing PEDOT:PSS films using direct electron beam irradiation,thereby achieving selective control of electrical and thermal transport in PEDOT:PSS.Electron beam irradiation transformed PEDOT:PSS from a highly ordered quinoid to an amorphous benzoid structure.Optimized pattern spacing resulted in a remarkable 70%reduction in thermal conductivity and a 60%increase in thermoelectric figure of merit compared to non-patterned PEDOT:PSS.The proposed nanopatterning methodology demonstrates a skillful approach to precisely manipulate the thermoelectric parameters,thereby improving the thermoelectric performance of conducting polymers,and promising utilization in cutting-edge electronic applications.
基金funding received by a grant from the Natural Sciences and Engineering Research Council of Canada(NSERC)(Grant No.CRDPJ 469057e14).
文摘We have proposed a methodology to assess the robustness of underground tunnels against potential failure.This involves developing vulnerability functions for various qualities of rock mass and static loading intensities.To account for these variations,we utilized a Monte Carlo Simulation(MCS)technique coupled with the finite difference code FLAC^(3D),to conduct two thousand seven hundred numerical simulations of a horseshoe tunnel located within a rock mass with different geological strength index system(GSIs)and subjected to different states of static loading.To quantify the severity of damage within the rock mass,we selected one stress-based(brittle shear ratio(BSR))and one strain-based failure criterion(plastic damage index(PDI)).Based on these criteria,we then developed fragility curves.Additionally,we used mathematical approximation techniques to produce vulnerability functions that relate the probabilities of various damage states to loading intensities for different quality classes of blocky rock mass.The results indicated that the fragility curves we obtained could accurately depict the evolution of the inner and outer shell damage around the tunnel.Therefore,we have provided engineers with a tool that can predict levels of damages associated with different failure mechanisms based on variations in rock mass quality and in situ stress state.Our method is a numerically developed,multi-variate approach that can aid engineers in making informed decisions about the robustness of underground tunnels.
基金funding agency University Grants Commission (UGC),Government of India,for giving a fellowship and other financial assistance for her Ph.D.thesis study。
文摘Cerium tartrate(CeTar),produced in this study by precipitating cerium nitrate with potassium sodium tartrate(KNaTar),was examined as a corrosion inhibitor.Weight loss tests show inhibition efficiency of 71.7% with Ce(NO_(3))_(3) and 88.7% with CeTar inhibitor for one-month exposure to mild steel in 7 g/L NaCl solution.The inhibition efficiency drops to 28.6% with the fo rmer and remains around 8 7% with the latter inhibitor after six months of exposure.Similar results from electrochemical testing indicate that the inhibition efficiency decreases by adding cerium nitrate.Still,the cerium tartrate inhibitor demonstrates a nearly constant inhibition efficiency for up to 30 d,i.e.,≈90%.Electrochemical impedance spectroscopy(EIS) performed in these cases shows the following results:(ⅰ) with cerium nitrate,a film of iron and cerium oxide,which on prolonged exposure diminishes,and(ⅱ) with cerium tartrate,the formation of a bimetallic film(Fe-tartrate-Ce) and a mixture of cerium hydroxide and iro n oxide that protects steel for a longer duration.These inferences are based on the analyses of scanning electron microscopy/energydispersive X-ray analysis(SEM/EDAX),X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),X-ray photoelectron(XPS),and Raman spectroscopy results.
基金supported by the National Natural Science Foundation of China(No.21906056No.22176060)+2 种基金the Undergraduate Training Program on Innovation and Entrepreneurship(S202110251087)the Science and Technology Commission of Shanghai Municipality(22ZR1418600)Shanghai Municipal Science and Technology(No.20DZ2250400).
文摘The existence and risk of emerging organic contaminants(EOCs)have been under consideration and paid much effort to degrade these pollutants.Fenton system is one of the most widely used technologies to solve this problem.The original Fenton system relies on the hydroxyl radicals produced by Fe(Ⅱ)/H_(2)O_(2) to oxidize the organic contaminants.However,the application of the Fenton system is limited by its low iron cycling efficiency and the high risks of hydrogen peroxide transportation and storage.The introduction of external energy(including light and electricity etc.)can effectively promote the Fe(Ⅲ)/Fe(Ⅱ)cycle and the reduction of oxygen to produce hydrogen peroxide in situ.This review introduces three in-situ Fenton systems,which are electro-Fenton,Photo-Fenton,and chemical reaction.The mechanism,influencing factors,and catalysts of these three in-situ Fenton systems in degrading EOCs are discussed systematically.This review strengthens the understanding of Fenton and in-situ Fenton systems in degradation,offering further insight into the real application of the in-situ Fenton system in the removal of EOCs.
文摘The growing global requirement for food and the need for sustainable farming in an era of a changing climate and scarce resources have inspired substantial crop yield prediction research.Deep learning(DL)and machine learning(ML)models effectively deal with such challenges.This research paper comprehensively analyses recent advancements in crop yield prediction from January 2016 to March 2024.In addition,it analyses the effectiveness of various input parameters considered in crop yield prediction models.We conducted an in-depth search and gathered studies that employed crop modeling and AI-based methods to predict crop yield.The total number of articles reviewed for crop yield prediction using ML,meta-modeling(Crop models coupled with ML/DL),and DL-based prediction models and input parameter selection is 125.We conduct the research by setting up five objectives for this research and discussing them after analyzing the selected research papers.Each study is assessed based on the crop type,input parameters employed for prediction,the modeling techniques adopted,and the evaluation metrics used for estimatingmodel performance.We also discuss the ethical and social impacts of AI on agriculture.However,various approaches presented in the scientific literature have delivered impressive predictions,they are complicateddue to intricate,multifactorial influences oncropgrowthand theneed for accuratedata-driven models.Therefore,thorough research is required to deal with challenges in predicting agricultural output.
文摘We report an economical approach for the fabrication of laser-produced graphene(LPG)electrodes,which results in an improved electrochemical performance.Polyimide polymer was used as the starting material for LPG synthesis and was irradiated under ambient conditions with a CO_(2) laser.The prepared LPG samples were characterized by Raman spectroscopy and FTIR,which validated the formation of multilayer graphene containing sp2 hybridized C=C bonds.FE-SEM revealed three-dimensional(3D)sheet-like structures,while HR-TEM images showed lattice planes with an interplanar spacing of approximately 0.33 nm,corres-ponding to the(002)plane of graphene.Their electrochemical performance showed a remarkable areal specific capacitance(CA)of 51 mF cm^(−2)(170 F g^(-1))at 1 mA cm^(−2)(3.3 A g^(-1))in a three-electrode configuration with 1 mol L^(−1) KOH as the aqueous electrolyte.The LPG electrodes produced an energy density of~3.5μWh cm^(−2) and a power density of~350μW cm^(−2),demonstrating signific-ant energy storage ability.They also had an excellent cycling stability,retaining 87%of their specific capacitance after 3000 cycles at 1 mA/cm^(2).A symmetric supercapacitor fabricated with LPG electrodes and the 1 mol L^(−1) KOH electrolyte had a specific capacit-ance of 23 mF cm^(−2) and showed excellent retention after 10000 cycles,showing LPG’s potential for use in supercapacitors.
基金supported by the KRISS(Korea Research Institute of Standards and Science)MPI Lab.program。
文摘The increasing demand for hydrogen energy to address environmental issues and achieve carbon neutrality has elevated interest in green hydrogen production,which does not rely on fossil fuels.Among various hydrogen production technologies,anion exchange membrane water electrolyzer(AEMWE)has emerged as a next-generation technology known for its high hydrogen production efficiency and its ability to use non-metal catalysts.However,this technology faces significant challenges,particularly in terms of the membrane durability and low ionic conductivity.To address these challenges,research efforts have focused on developing membranes with a new backbone structure and anion exchange groups to enhance durability and ionic conductivity.Notably,the super-acid-catalyzed condensation(SACC)synthesis method stands out due to its user convenience,the ability to create high molecular weight(MW)polymers,and the use of oxygen-tolerant organic catalysts.Although the synthesis of anion exchange membranes(AEMs)using the SACC method began in 2015,and despite growing interest in this synthesis approach,there remains a scarcity of review papers focusing on AEMs synthesized using the SACC method.The review covers the basics of SACC synthesis,presents various polymers synthesized using this method,and summarizes the development of these polymers,particularly their building blocks including aryl,ketone,and anion exchange groups.We systematically describe the effects of changes in the molecular structure of each polymer component,conducted by various research groups,on the mechanical properties,conductivity,and operational stability of the membrane.This review will provide insights into the development of AEMs with superior performance and operational stability suitable for water electrolysis applications.
文摘Introduction: This study assesses rural providers’ perceptions of their ability to deliver high quality care via telehealth compared to usual care, and whether attending providers perceive that emergency department (ED) telehealth visits influence clinical reasoning in regard to patient disposition, specifically in tele-behavioral and tele-neurological cases. Methods: A cross-sectional survey was conducted of 134 ED providers (nurses [n = 126] and physicians [n = 8]) who were working in five Midwestern critical access hospitals (response rate 83%). Descriptive, correlational and stepwise regression analyses were employed to evaluate provider perceptions of 1) competency level in telehealth delivery, 2) patient health outcomes, 3) access to continuing education in telehealth, and 4) clinical influence of telehealth visit. Evaluation of preliminary set of N = 100 telehealth cases were assessed for influence of telehealth on clinical reasoning of attending physicians regarding patient disposition. Results: The majority (67%;n = 90) of participants had at least minimal experience with telehealth care delivery, with an average of 1 - 2 visits in teleneurology, and 3 - 4 visits in telebehavioral cases. Providers rated their overall mean competency level in telehealth care delivery as 3.01/5.00 based on a 5 point “novice (1) to expert” (5) scale. Mean scores for providers perceived competency level in 7 evidence-based sub-categories for telehealth care delivery were self-reported as relatively low to mid-range values, ranging from 2.64 - 3.57/5.00. Stepwise linear regression analysis of whether all providers “would recommend telehealth to their family and friends” revealed two predictors for model of best fit (n = 81;p 2 = 0.598): 1) their perceptions of telehealth experience compared to usual care;and 2) perceptions of patient health outcomes with telehealth compared to usual care. Providers rated “neutral” to “very unlikely” that they “would recommend telehealth to family and friends” (2.75/5.00;n = 122;91%). Attending physicians reported that for a majority of cases, telehealth visits influenced patient disposition and transfer decision-making (58.4%), and the influence of telehealth visits on patient disposition was statistically significantly higher for behavioral health cases (p Discussion: This study will be followed on to inform administrators/policy makers about 1) perceived level of competency of providers who implement tele-emergency care, 2) potential importance of telehealth equipment used and teamwork between rural providers and distant specialist, and 3) how use of telehealth may enhance ability of rural ED providers to improve quality of care. Perceived influence of telehealth on patient disposition is reported to be highest for telebehavioral patients. Healthcare educators need to place a priority on addressing provider competencies in telehealth through health professions degree programs and continuing education. Further research is needed to promote application and testing of evidence-based provider competencies in telehealth, and potentially relevant health communication models, to increase providers’ perceived efficacy and competency in telehealth care delivery, thus supporting high quality patient health outcomes.
基金Ministry of Education,Youth and Sports of the Chezk Republic,Grant/Award Numbers:SP2023/039,SP2023/042the European Union under the REFRESH,Grant/Award Number:CZ.10.03.01/00/22_003/0000048。
文摘Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and segmentation of brain tumours would be beneficial, current methods still need to solve this problem despite the numerous available approaches. Precise analysis of Magnetic Resonance Imaging (MRI) is crucial for detecting, segmenting, and classifying brain tumours in medical diagnostics. Magnetic Resonance Imaging is a vital component in medical diagnosis, and it requires precise, efficient, careful, efficient, and reliable image analysis techniques. The authors developed a Deep Learning (DL) fusion model to classify brain tumours reliably. Deep Learning models require large amounts of training data to achieve good results, so the researchers utilised data augmentation techniques to increase the dataset size for training models. VGG16, ResNet50, and convolutional deep belief networks networks extracted deep features from MRI images. Softmax was used as the classifier, and the training set was supplemented with intentionally created MRI images of brain tumours in addition to the genuine ones. The features of two DL models were combined in the proposed model to generate a fusion model, which significantly increased classification accuracy. An openly accessible dataset from the internet was used to test the model's performance, and the experimental results showed that the proposed fusion model achieved a classification accuracy of 98.98%. Finally, the results were compared with existing methods, and the proposed model outperformed them significantly.
基金The authors would like to thank the Natural Sciences and Engineering Research Council of Canada(NSERC),IAMGOLD Corporation,and Westwood mine for supporting and funding this research(Grant No.RDCPJ 520428e17)also NSERC discovery funding(Grant No.RGPIN-2019-06693).
文摘Geomechanical parameters of intact metamorphic rocks determined from laboratory testing remain highly uncertain because of the great intrinsic variability associated with the degrees of metamorphism.The aim of this paper is to develop a proper methodology to analyze the uncertainties of geomechanical characteristics by focusing on three domains,i.e.data treatment process,schistosity angle,and mineralogy.First,the variabilities of the geomechanical laboratory data of Westwood Mine(Quebec,Canada)were examined statistically by applying different data treatment techniques,through which the most suitable outlier methods were selected for each parameter using multiple decision-making criteria and engineering judgment.Results indicated that some methods exhibited better performance in identifying the possible outliers,although several others were unsuccessful because of their limitation in large sample size.The well-known boxplot method might not be the best outlier method for most geomechanical parameters because its calculated confidence range was not acceptable according to engineering judgment.However,several approaches,including adjusted boxplot,2MADe,and 2SD,worked very well in the detection of true outliers.Also,the statistical tests indicate that the best-fitting probability distribution function for geomechanical intact parameters might not be the normal distribution,unlike what is assumed in most geomechanical studies.Moreover,the negative effects of schistosity angle on the uniaxial compressive strength(UCS)variabilities were reduced by excluding the samples within a specific angle range where the UCS data present the highest variation.Finally,a petrographic analysis was conducted to assess the associated uncertainties such that a logical link was found between the dispersion and the variabilities of hard and soft minerals.
基金supported by a characterization platform for advanced materials funded by the Korea Research Institute of Standards and Science(KRISS-2023-GP2023-0014)the KRISS(Korea Research Institute of Standards and Science)MPI Lab.program。
文摘To address climate change and promote environmental sustainability,electrochemical energy conversion and storage systems emerge as promising alternative to fossil fuels,catering to the escalating demand for energy.Achieving optimal energy efficiency and cost competitiveness in these systems requires the strategic design of electrocatalysts,coupled with a thorough comprehension of the underlying mechanisms and degradation behavior occurring during the electrocatalysis processes.Scanning electrochemical microscopy(SECM),an analytical technique for studying surface electrochemically,stands out as a powerful tool offering electrochemical insights.It possesses remarkable spatiotemporal resolution,enabling the visualization of the localized electrochemical activity and surface topography.This review compiles crucial research findings and recent breakthroughs in electrocatalytic processes utilizing the SECM methodology,specifically focusing on applications in electrolysis,fuel cells,and metal–oxygen batteries within the realm of energy conversion and storage systems.Commencing with an overview of each energy system,the review introduces the fundamental principles of SECM,and aiming to provide new perspectives and broadening the scope of applied research by describing the major research categories within SECM.
基金Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/82/44。
文摘We investigated spinel chalcogenides HgLa_(2)(S/Se)_(4)by using density function theory,and scrutinized the structural,optical,electrical,mechanical and thermoelectric transport characteristics of HgLa_(2)(S/Se)_(4)spinel chalcogenides.The enthalpy of formation,energy of cohesion,and energy volume optimum plots were used to obtain the stability as well as the perfect ground state of these materials.The ductility of these materials was the best illustrated with the help of Poisson's and Pugh's ratios.The band gap results were obtained using Trans and Blaha modified Becke-Johanson potential(TB-mBJ).Both the materials present semi-conducting nature with direct band gap equal to 1.449 and 0.892 eV respectively for HgLa_(2)S_(4)and HgLa_(2)Se_(4).Calculations were also made for optical characteristics with the values of dielectric function,absorption coefficient,optical conductivity,reflectivity,and refractive indices.According to the findings,both of these materials are suitable for infrared optoelectronic applications.These materials were found to have promising optoelectronic and thermoelectric applications after their optical properties and transport aspects were evaluated.Despite tiny levels of temperature conductivities,substantial am ounts of power conductivities,the figure of merit(more than unity),as well as Seebecs coefficients all point to the potential use of both the materials in thermoelectric power generators.
文摘Soil erosion has been identified as one of the most destructive forms of land degradation,posing a threat to the sustainability of global economic,social and environmental systems.This underscores the need for sustainable land management that takes erosion control and prevention into consideration.This requires the use of state-of-the-art erosion prediction models.The models often require extensive input of detailed spatial and temporal data,some of which are not readily available in many developing countries,particularly detailed soil data.The soil dataset Global Gridded Soil Information(SoilGrids)could potentially fill the data gap.Nevertheless,its value and accuracy for soil erosion modelling in the humid tropics is still unknown,necessitating the need to assess its value vis-à-vis field-based data.The major objective of this study was to conduct a comparative assessment of the value of SoilGrids and field-based soil data for estimating soil loss.Soil samples were collected from five physiographic positions(summit,shoulder,back slope,foot slope,and toe slope)using the soil catena approach.Samples were collected using a 5-cm steel sample ring(undisturbed)and a spade(disturbed).Data of the landform,predominant vegetation types,canopy cover,average plant height,land use,soil depth,shear strength,and soil color were recorded for each site.The soil samples were subjected to laboratory analysis for saturated hydraulic conductivity,bulk density,particle size distribution,and organic matter content.Pedotransfer functions were applied on the SoilGrids and field-based data to generate soil hydrological properties.The resultant field-based data were compared with the SoilGrids data for corresponding points/areas to determine the potential similarities of the two datasets.Both datasets were then used as inputs for soil erosion assessment using the revised Morgan-Morgan-Finney model.The results from both datasets were again compared to determine the degree of similarity.The results showed that with respect to point-based comparison,both datasets were significantly different.At the hillslope delineation level,the field-based data still consistently had a greater degree of variability,but the hillslope averages were not significantly different for both datasets.Similar results were recorded with the soil loss parameters generated from both datasets;point-based comparison showed that both datasets were significantly different,whereas the reverse was true for parcel/area-based comparison.SoilGrids data are certainly useful,especially where soil data are lacking;the utility of this dataset is,however,dependent on the scale of operation or the extent of detail required.When detailed,site-specific data are required,SoilGrids may not be a good alternative to soil survey data in the humid tropics.On the other hand,if the average soil properties of a region,area,or land parcel are required for the implementation of a particular project,plan,or program,SoilGrids data can be a very valuable alternative to soil survey data.
