This study investigates university English teachers’acceptance and willingness to use learning management system(LMS)data analysis tools in their teaching practices.The research employs a mixed-method approach,combin...This study investigates university English teachers’acceptance and willingness to use learning management system(LMS)data analysis tools in their teaching practices.The research employs a mixed-method approach,combining quantitative surveys and qualitative interviews to understand teachers’perceptions and attitudes,and the factors influencing their adoption of LMS data analysis tools.The findings reveal that perceived usefulness,perceived ease of use,technical literacy,organizational support,and data privacy concerns significantly impact teachers’willingness to use these tools.Based on these insights,the study offers practical recommendations for educational institutions to enhance the effective adoption of LMS data analysis tools in English language teaching.展开更多
To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities ...To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities as possible.To compare static analysis tools for web applications,an adapted benchmark to the vulnerability categories included in the known standard Open Web Application Security Project(OWASP)Top Ten project is required.The information of the security effectiveness of a commercial static analysis tool is not usually a publicly accessible research and the state of the art on static security tool analyzers shows that the different design and implementation of those tools has different effectiveness rates in terms of security performance.Given the significant cost of commercial tools,this paper studies the performance of seven static tools using a new methodology proposal and a new benchmark designed for vulnerability categories included in the known standard OWASP Top Ten project.Thus,the practitioners will have more precise information to select the best tool using a benchmark adapted to the last versions of OWASP Top Ten project.The results of this work have been obtaining using widely acceptable metrics to classify them according to three different degree of web application criticality.展开更多
The rapid advancement of nanopore metagenomic sequencing has revolutionized microbiome research,enabling significant breakthroughs in the study of microbial communities,ecological dynamics,and genome-level functions[1...The rapid advancement of nanopore metagenomic sequencing has revolutionized microbiome research,enabling significant breakthroughs in the study of microbial communities,ecological dynamics,and genome-level functions[1–5].This innovative sequencing technology stands out due to its ability to generate long sequencing reads,which are pivotal in resolving complex microbial genomic structures that short-read sequencing often fails to address[2,6].展开更多
This paper presents a high-security medical image encryption method that leverages a novel and robust sine-cosine map.The map demonstrates remarkable chaotic dynamics over a wide range of parameters.We employ nonlinea...This paper presents a high-security medical image encryption method that leverages a novel and robust sine-cosine map.The map demonstrates remarkable chaotic dynamics over a wide range of parameters.We employ nonlinear analytical tools to thoroughly investigate the dynamics of the chaotic map,which allows us to select optimal parameter configurations for the encryption process.Our findings indicate that the proposed sine-cosine map is capable of generating a rich variety of chaotic attractors,an essential characteristic for effective encryption.The encryption technique is based on bit-plane decomposition,wherein a plain image is divided into distinct bit planes.These planes are organized into two matrices:one containing the most significant bit planes and the other housing the least significant ones.The subsequent phases of chaotic confusion and diffusion utilize these matrices to enhance security.An auxiliary matrix is then generated,comprising the combined bit planes that yield the final encrypted image.Experimental results demonstrate that our proposed technique achieves a commendable level of security for safeguarding sensitive patient information in medical images.As a result,image quality is evaluated using the Structural Similarity Index(SSIM),yielding values close to zero for encrypted images and approaching one for decrypted images.Additionally,the entropy values of the encrypted images are near 8,with a Number of Pixel Change Rate(NPCR)and Unified Average Change Intensity(UACI)exceeding 99.50%and 33%,respectively.Furthermore,quantitative assessments of occlusion attacks,along with comparisons to leading algorithms,validate the integrity and efficacy of our medical image encryption approach.展开更多
As global populations grow, the generation of various waste materials like fats, oils, and grease (FOG), fruit waste, and other perishable wastes increases concurrently. Disposal of these highly putrescible waste prod...As global populations grow, the generation of various waste materials like fats, oils, and grease (FOG), fruit waste, and other perishable wastes increases concurrently. Disposal of these highly putrescible waste products in landfills consumes valuable landfill space. Anaerobic digestion can transform these waste materials into valuable components, including fertilizer and biogas, reducing the demand for landfill space. The current study is based on the hypothesis that incorporating high-strength organic waste into conventional wastewater sludge can enhance the production of onsite biogas at wastewater treatment plants, therefore contributing to the reduction of the plant’s energy demands from the grid. The batch anaerobic biodegradability test assays were performed for 63 days to observe the impact on the biomethane yield from adding high-strength organic waste to the wastewater sludge and to investigate the combined effects of co-digesting two different preselected high-strength organic waste streams. Additionally, physicochemical characterization was performed on different fruit waste juicing residuals to indicate which fruit wastes might increase anaerobic digestion efficiency. The highest methane yield of 243 mL/gVS and 280 mL/gVS, respectively, were obtained with two mixtures having 10% FOG as the sole substrate and 10% FOG along with 10% fruit waste. The study also assessed the siloxane concentrations present as trace contaminants in the biogas samples. An initial economic feasibility assessment of food waste co-digestion at two wastewater treatment plants in Florida was conducted using the Co-Digestion Economic Analysis Tool (CoEAT) model. Based on the laboratory results, the analysis indicated a net positive benefit of $39,472 for a medium-sized plant (10 - 30 MGD capacity) and $52,488 for a larger plant (>30 MGD capacity) after 15 years, while diverting 10 - 18 tons/day of food waste from landfills with an anticipated minimal increase in sludge volume production at food waste additions less than 10% of the digester feed as stated in the literature.展开更多
This paper presents an approach that utilizes the recently developed tools for analyzing wind blade properties resulting from geometric shape and geographical site characteristics to find possible blade design improve...This paper presents an approach that utilizes the recently developed tools for analyzing wind blade properties resulting from geometric shape and geographical site characteristics to find possible blade design improvements. A set of blade shapes with a certain deviation of chord distribution from the initial geometry was investigated for WindPACT 1.5 MW turbine. The results showed that the original blade geometry can be improved based on individual site wind characteristics, giving better aerodynamic efficiency and reduced cost.展开更多
Correspondence factor analysis(CFA)was used in conjunction with linear regression analysis to examine the structure-activity relationships of 50 benzene derivatives tested on Pimephales promelas.From nine molecular de...Correspondence factor analysis(CFA)was used in conjunction with linear regression analysis to examine the structure-activity relationships of 50 benzene derivatives tested on Pimephales promelas.From nine molecular descriptors(numbers of C,H,O,N,Br,Cl,NO_2,OH,and NH_2 included in the molecules),CFA made it possible to define five new independent variables which were introduced in a stepwise regression analysis procedure to describe the acute toxicity(96-h LC_(50))of the aromatic compounds.The model log 1/C=-0.727F_1+1.248F_3+4.052(r=0.918; s=0.270)is more relevant to describe the ecotoxicological behavior of the studied compounds on the fathead minnow than that obtained with principal components(log 1/C=0.151 PC_1 -0.271 PC_2+4.124;r=0.737;s=0.460).The heuristic potency of this particular statistical analysis,which is called stochastic regression analysis,is discussed in detail.1989 Academic Press,Inc.展开更多
The thermal-induced error is a very important sour ce of machining errors of machine tools. To compensate the thermal-induced machin ing errors, a relationship model between the thermal field and deformations was need...The thermal-induced error is a very important sour ce of machining errors of machine tools. To compensate the thermal-induced machin ing errors, a relationship model between the thermal field and deformations was needed. The relationship can be deduced by virtual of FEM (Finite Element Method ), ANN (Artificial Neural Network) or MRA (Multiple Regression Analysis). MR A is on the basis of a total understanding of the temperature distribution of th e machine tool. Although the more the temperatures measured are, the more accura te the MRA is, too more temperatures will hinder the analysis calculation. So it is necessary to identify the key temperatures of the machine tool. The selectio n of key temperatures decides the efficiency and precision of MRA. Because of th e complexities and multi-input and multi-output structure of the relationships , the exact quantitative portions as well as the unclear portions must be taken into consideration together to improve the identification of key temperatures. I n this paper, a fuzzy cluster analysis was used to select the key temperatures. The substance of identifying the key temperatures is to group all temperatures b y their relativity, and then to select a temperature from each group as the repr esentation. A fuzzy cluster analysis can uncover the relationships between t he thermal field and deformations more truly and thoroughly. A fuzzy cluster ana lysis is the cluster analysis based on fuzzy sets. Given U={u i|i=0,...,N}, in which u i is the temperature measured, a fuzzy matrix R can be obta ined. The transfer close package t(R) can be deduced from R. A fuzzy clu ster of U then conducts on the basis of t(R). Based on the fuzzy cluster analysis discussed above, this paper identified the k ey temperatures of a horizontal machining center. The number of the temperatures measured was reduced to 4 from 32, and then the multiple regression relationshi p models between the 4 temperatures and the thermal deformations of the spindle were drawn. The remnant errors between the regression models and measured deform ations reached a satisfying low level. At the same time, the decreasing of tempe rature variable number improved the efficiency of measure and analysis greatly.展开更多
The tool for analyzing and evaluating system characteristics based on the AADL model can achieve real-time,reliability,security,and schedulability analysis and evaluation for software-intensive systems.It provides a c...The tool for analyzing and evaluating system characteristics based on the AADL model can achieve real-time,reliability,security,and schedulability analysis and evaluation for software-intensive systems.It provides a complete solution for quality analysis of real-time,reliability,safety,and schedulability in the design and demonstration stages of software-intensive systems.By using the system′s multi-characteristic(real-time capability,reliability,safety,schedulability)analysis and evaluation tool based on AADL models,it can meet the software non-functional requirements stipulated by the existing model development standards and specifications.This effectively enhances the efficiency of demonstrating the compliance of the system′s non-functional quality attributes in the design work of our unit′s software-intensive system.It can also improve the performance of our unit′s software-intensive system in engineering inspections and requirement reviews conducted by various organizations.The improvement in the quality level of software-intensive systems can enhance the market competitiveness of our unit′s electronic products.展开更多
Background:Well-designed and functioning emergency medical service(EMS)can provide equitable access to emergency care to im-prove health issues,especially in low-and middle-income countries where the majority of death...Background:Well-designed and functioning emergency medical service(EMS)can provide equitable access to emergency care to im-prove health issues,especially in low-and middle-income countries where the majority of deaths are due to conditions that could be treated with emergency care.To address this gap,this study explored the contextually appropriate development process in addition to the system architecture,which is lacking in Global South EMS research.Method:This study was a thematic analysis of the development of EMS systems in six Asian countries.Experts in emergency care were selected through convenience sampling.Each country described and evaluated its EMS system using a standardized form with 102 EMS items that cover the emergency care system in terms of leadership,governance,financing,community-based activities,prehospital care,and quality assessment.From the descriptions,various themes were extracted focusing on the developmental perspective of EMS in Asia.Result:The study identified the domain of the developmental focus,best practices,and future strategies for EMS in the Asian region.The identified areas for developmental focus are governance,multidisciplinary collaboration,communication/coordination,community partic-ipation,decentralization,equitable access,supply-demand balance,and quality assurance activities.Conclusion:Countries under investigation achieved progress in planning,implementing,and sustaining EMS through varied strategies in the mentioned focal areas that can be emulated by other countries in this region.Further,their development levels varied according to the extent to which each country realized the development principles identified in this study.展开更多
It is a considerably promising strategy to produce fuels and high-value chemicals through an electrochemical conversion process in the green and sustainable energy systems.Catalysts for electrocatalytic reactions,incl...It is a considerably promising strategy to produce fuels and high-value chemicals through an electrochemical conversion process in the green and sustainable energy systems.Catalysts for electrocatalytic reactions,including hydrogen evolution reaction(HER),oxygen evolution reaction(OER),oxygen reduction reaction(ORR),nitrogen reduction reaction(NRR),carbon dioxide reduction reaction(CO_(2)RR),play a significant role in the advanced energy conversion technologies,such as water splitting devices,fuel cells,and rechargeable metal-air batteries.Developing low-cost and highly efficient electrocatalysts is closely related to establishing the composition-structure-activity relationships and fundamental understanding of catalytic mechanisms.Density functional theory(DFT)is emerging as an important computational tool that can provide insights into the relationship between the electrochemical performances and physical/chemical properties of catalysts.This article presents a review on the progress of the DFT,and the computational simulations,within the framework of DFT,for the electrocatalytic processes,as well as the computational designs and virtual screenings of new electrocatalysts.Some useful descriptors and analysis tools for evaluating the electrocatalytic performances are highlighted,including formation energies,d-band model,scaling relation,egorbital occupation,and free energies of adsorption.Furthermore,the remaining questions and perspectives for the development of DFT for electrocatalysis are also proposed.展开更多
Investigating the genetic and developmental characteristics,infection transmission attributes,and epidemiological trends of pathogens using genomic data represents the foundation for pathogen surveillance and is a cru...Investigating the genetic and developmental characteristics,infection transmission attributes,and epidemiological trends of pathogens using genomic data represents the foundation for pathogen surveillance and is a crucial prerequisite for guaranteeing global health security.To meet the analytical demands of research relating to pathogen prevention and control,we designed a secure visualization system capable of pathogen genome assembly,annotation,species identification,sequence typing,antibiotic resistance and virulence analysis,genomic mobile element and transferable resistance gene annotation,and phylogenetic tree reconstruction.For highly pathogenic organisms requiring complete data protection,we have developed a secure computing tool that utilizes a trusted execution environment,is combined with blockchain and privacy computing technologies,and is specifically designed for nucleotide basic local alignment search tool(BLASTn)comparison analysis.This technological advancement offers scientific support for in‐depth investigations into pathogen transmission and epidemiological mechanisms,environmental adaptability,evolutionary trends,and immune evasion mechanisms,as well as the identification of new or emerging pathogen strains.This,in turn,aids efforts in infectious disease prevention,treatment,and research.展开更多
To provide physically based wind modelling for wind erosion research at regional scale, a 3D computational fluid dynamics (CFD) wind model was developed. The model was programmed in C language based on the Navier-Stok...To provide physically based wind modelling for wind erosion research at regional scale, a 3D computational fluid dynamics (CFD) wind model was developed. The model was programmed in C language based on the Navier-Stokes equations, and it is freely available as open source. Integrated with the spatial analysis and modelling tool (SAMT), the wind model has convenient input preparation and powerful output visualization. To validate the wind model, a series of experiments was con- ducted in a wind tunnel. A blocking inflow experiment was designed to test the performance of the model on simulation of basic fluid processes. A round obstacle experiment was designed to check if the model could simulate the influences of the obstacle on wind field. Results show that measured and simulated wind fields have high correlations, and the wind model can simulate both the basic processes of the wind and the influences of the obstacle on the wind field. These results show the high reliability of the wind model. A digital elevation model (DEM) of an area (3800 m long and 1700 m wide) in the Xilingele grassland in Inner Mongolia (autonomous region, China) was applied to the model, and a 3D wind field has been successfully generated. The clear imple- mentation of the model and the adequate validation by wind tunnel experiments laid a solid foundation for the prediction and assessment of wind erosion at regional scale.展开更多
In this paper,the microstructure of WC-Co alloys with and without nano-additives was characterized by scanning electron microscopy（SEM） and transmission electron microscopy（TEM）.The hardness and fracture toughness...In this paper,the microstructure of WC-Co alloys with and without nano-additives was characterized by scanning electron microscopy（SEM） and transmission electron microscopy（TEM）.The hardness and fracture toughness was tested by using a Vickers hardness tester and a universal testing machine.The cutting test was carried out at different feed velocities（250 r/min and 320 r/min）,and the contact pairs are cutting tools and 45# steel bars.Results showed that the hardness and fracture toughness of WC-Co cemented carbides with nano-additives are higher than that of WC-Co cemented carbides without nano-additives,and they are increased 10.21% and 19.69%,respectively.The flank worn width and crater width of cutting tools decrease greatly with the addition of nano-additives.For the nano-modified specimen with WC grain size of 7 μm,both the flank worn width and crater width are the minimum after the cutting process.And there are little built-up layers and some pile-up regions on the flank face leading to high cutting performance for the nano-modified cemented carbides.There are some melted regions on the flank face of cutting tools without nano-additives,and the WC grains on the cross section of alloys without nano-additives show severe fragmentation.The wear type of WC-Co is flank wear,and the wear mechanism is abrasive,adhesion and oxidation wear.展开更多
We examined salt tolerance responsive genes in Pak-choi under salt stress and analyze their potential function. The LRNA differential display was used to screen the transcript derived fragments （TDFs） related to sal...We examined salt tolerance responsive genes in Pak-choi under salt stress and analyze their potential function. The LRNA differential display was used to screen the transcript derived fragments （TDFs） related to salinity tolerance in tolerant and Loderately tolerant Pak-choi germplasm. Seventy-eight primer combinations generated 101 differential eDNA fragments, which ere divided into 10 expression types. Seven cDNA sequences （GenBank accession Nos. DQ006915-DQ006921） obtained and ,~quenced were highly homologous to some known expression genes or the genes related to the signaling pathways in plants under ifferent abiotic stress.展开更多
To determine whether reforestation efforts in the denuded hills have significant impacts on hydrology in the Xinjiang River watershed, the authors examined eight land-cover scenarios to compare hydrologic responses an...To determine whether reforestation efforts in the denuded hills have significant impacts on hydrology in the Xinjiang River watershed, the authors examined eight land-cover scenarios to compare hydrologic responses and to provide a conceptual basis for restoration practices. The authors analyzed a 17-year time period using remote sensing to develop land-cover classification for the watershed. Climate, soil and terrain data for the watershed were used as input in the SWAT （soil and water analysis tool） to quantify and compare the impacts on hydrologic processes. The model was calibrated to a two-year record of stream discharge measurements. The results show significant increase in forest-cover on hills （13%）. However, the hydrological response is not very significant considering the changes in forest-cover, the surface runoff and percolation ratios only changed by 2% and 1% over time. Installment of earthen irrigation ponds in the outlets of sub-basin with maximum runoff had provided the most significant hydrologic improvements and could provide irrigation water to increase crop yield on remaining cropland. The study will provide information to the local government to aid decision-making in sustainable reforestation programs resulting in better hydrologic functioning for sustainable water resource management.展开更多
Dams are critical and essential elements in any infrastructure and, in front of accidents occurred in many countries, it is extremely important to know the risk of these structures. Inserted in this context, it was fo...Dams are critical and essential elements in any infrastructure and, in front of accidents occurred in many countries, it is extremely important to know the risk of these structures. Inserted in this context, it was found in the technical literature, methods and tools capable of measuring the exposure value by means of indicators. In the study, the highlights were 12 methods of qualitative, semiquantitative and quantitative risk analysis, representing an overview of risk analysis methods available in the literature with potential use in dams, that it has been done into electronic spreadsheets. The case study is performed on a sample of concrete dam and earth/rockfill built and operated by Eletrobr^s Furnas Company, supported by documentary research, projects, field inspections and interviews with experts. After applying the methods and the analysis thereof, has been prepared the Eletrobras Fumas dam risk analysis method which is characterized by adapting the criteria analyzed to the reality of the company＇s dams and it was also performed the portfolio risk analysis of 18 dams. In spite of the variety and subjectivity of qualitative and semiquantitative methods, the results show that they tend to converge on the analysis of dam based on risk. The application methodology demonstrates the feasibility assessment stage, covering the preliminary analysis for portfolio dams, followed by formal and individual risk analyzes for the most critical structures. These results confirm the applicability of risk analysis techniques, contributing to the consolidation of this toot as fundamental in the dam safety.展开更多
1 Introduction,Changing Heritage:How Internal Tensions and External Pressures are Threatening Our Cultural and Natural Legacy is the latest book by Francesco Bandarin(2024),a widely known urban heritage expert and the...1 Introduction,Changing Heritage:How Internal Tensions and External Pressures are Threatening Our Cultural and Natural Legacy is the latest book by Francesco Bandarin(2024),a widely known urban heritage expert and the former Director of the UNESCO World Heritage Centre,released by Routledge in 2024.The title suggests an ambitious and,at the same time,holistic approach to heritage studies,making it an essential tool of analysis for those dealing with heritage today.展开更多
As an application of artificial intelligence and expert system technology to database design,this paper presents an intelligent design tool NITDT,which comprises a requirements specification lan- guage NITSL,a knowled...As an application of artificial intelligence and expert system technology to database design,this paper presents an intelligent design tool NITDT,which comprises a requirements specification lan- guage NITSL,a knowledge representation language NITKL,and an inference engine with uncertainty reasoning capability.NITDT now covers the requirements analysis and conceptual design of database design.However,it is possible to be integrated with another database design tool, NITDBA,developed also at NIT to become an integrated design tool supporting the whole process of database design.展开更多
Lonicera japonica Thunb.,a traditional Chinese herb,has been used for treating human diseases for thousands of years.Recently,the genome of L.japonica has been decoded,providing valuable information for research into ...Lonicera japonica Thunb.,a traditional Chinese herb,has been used for treating human diseases for thousands of years.Recently,the genome of L.japonica has been decoded,providing valuable information for research into gene function.However,no comprehensive database for gene functional analysis and mining is available for L.japonica.We therefore constructed LjaFGD(www.gzybioinformatics.cn/LjaFGD and bioinformatics.cau.edu.cn/LjaFGD),a database for analyzing and comparing gene function in L.japonica.We constructed a gene co-expression network based on 77 RNA-seq samples,and then annotated genes of L.japonica by alignment against protein sequences from public databases.We also introduced several tools for gene functional analysis,including Blast,motif analysis,gene set enrichment analysis,heatmap analysis,and JBrowse.Our co-expression network revealed that MYB and WRKY transcription factor family genes were co-expressed with genes encoding key enzymes in the biosynthesis of chlorogenic acid and luteolin in L.japonica.We used flavonol synthase 1(LjFLS1)as an example to show the reliability and applicability of our database.LjaFGD and its various associated tools will provide researchers with an accessible platform for retrieving functional information on L.japonica genes to further biological discovery.展开更多
文摘This study investigates university English teachers’acceptance and willingness to use learning management system(LMS)data analysis tools in their teaching practices.The research employs a mixed-method approach,combining quantitative surveys and qualitative interviews to understand teachers’perceptions and attitudes,and the factors influencing their adoption of LMS data analysis tools.The findings reveal that perceived usefulness,perceived ease of use,technical literacy,organizational support,and data privacy concerns significantly impact teachers’willingness to use these tools.Based on these insights,the study offers practical recommendations for educational institutions to enhance the effective adoption of LMS data analysis tools in English language teaching.
文摘To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities as possible.To compare static analysis tools for web applications,an adapted benchmark to the vulnerability categories included in the known standard Open Web Application Security Project(OWASP)Top Ten project is required.The information of the security effectiveness of a commercial static analysis tool is not usually a publicly accessible research and the state of the art on static security tool analyzers shows that the different design and implementation of those tools has different effectiveness rates in terms of security performance.Given the significant cost of commercial tools,this paper studies the performance of seven static tools using a new methodology proposal and a new benchmark designed for vulnerability categories included in the known standard OWASP Top Ten project.Thus,the practitioners will have more precise information to select the best tool using a benchmark adapted to the last versions of OWASP Top Ten project.The results of this work have been obtaining using widely acceptable metrics to classify them according to three different degree of web application criticality.
文摘The rapid advancement of nanopore metagenomic sequencing has revolutionized microbiome research,enabling significant breakthroughs in the study of microbial communities,ecological dynamics,and genome-level functions[1–5].This innovative sequencing technology stands out due to its ability to generate long sequencing reads,which are pivotal in resolving complex microbial genomic structures that short-read sequencing often fails to address[2,6].
文摘This paper presents a high-security medical image encryption method that leverages a novel and robust sine-cosine map.The map demonstrates remarkable chaotic dynamics over a wide range of parameters.We employ nonlinear analytical tools to thoroughly investigate the dynamics of the chaotic map,which allows us to select optimal parameter configurations for the encryption process.Our findings indicate that the proposed sine-cosine map is capable of generating a rich variety of chaotic attractors,an essential characteristic for effective encryption.The encryption technique is based on bit-plane decomposition,wherein a plain image is divided into distinct bit planes.These planes are organized into two matrices:one containing the most significant bit planes and the other housing the least significant ones.The subsequent phases of chaotic confusion and diffusion utilize these matrices to enhance security.An auxiliary matrix is then generated,comprising the combined bit planes that yield the final encrypted image.Experimental results demonstrate that our proposed technique achieves a commendable level of security for safeguarding sensitive patient information in medical images.As a result,image quality is evaluated using the Structural Similarity Index(SSIM),yielding values close to zero for encrypted images and approaching one for decrypted images.Additionally,the entropy values of the encrypted images are near 8,with a Number of Pixel Change Rate(NPCR)and Unified Average Change Intensity(UACI)exceeding 99.50%and 33%,respectively.Furthermore,quantitative assessments of occlusion attacks,along with comparisons to leading algorithms,validate the integrity and efficacy of our medical image encryption approach.
文摘As global populations grow, the generation of various waste materials like fats, oils, and grease (FOG), fruit waste, and other perishable wastes increases concurrently. Disposal of these highly putrescible waste products in landfills consumes valuable landfill space. Anaerobic digestion can transform these waste materials into valuable components, including fertilizer and biogas, reducing the demand for landfill space. The current study is based on the hypothesis that incorporating high-strength organic waste into conventional wastewater sludge can enhance the production of onsite biogas at wastewater treatment plants, therefore contributing to the reduction of the plant’s energy demands from the grid. The batch anaerobic biodegradability test assays were performed for 63 days to observe the impact on the biomethane yield from adding high-strength organic waste to the wastewater sludge and to investigate the combined effects of co-digesting two different preselected high-strength organic waste streams. Additionally, physicochemical characterization was performed on different fruit waste juicing residuals to indicate which fruit wastes might increase anaerobic digestion efficiency. The highest methane yield of 243 mL/gVS and 280 mL/gVS, respectively, were obtained with two mixtures having 10% FOG as the sole substrate and 10% FOG along with 10% fruit waste. The study also assessed the siloxane concentrations present as trace contaminants in the biogas samples. An initial economic feasibility assessment of food waste co-digestion at two wastewater treatment plants in Florida was conducted using the Co-Digestion Economic Analysis Tool (CoEAT) model. Based on the laboratory results, the analysis indicated a net positive benefit of $39,472 for a medium-sized plant (10 - 30 MGD capacity) and $52,488 for a larger plant (>30 MGD capacity) after 15 years, while diverting 10 - 18 tons/day of food waste from landfills with an anticipated minimal increase in sludge volume production at food waste additions less than 10% of the digester feed as stated in the literature.
文摘This paper presents an approach that utilizes the recently developed tools for analyzing wind blade properties resulting from geometric shape and geographical site characteristics to find possible blade design improvements. A set of blade shapes with a certain deviation of chord distribution from the initial geometry was investigated for WindPACT 1.5 MW turbine. The results showed that the original blade geometry can be improved based on individual site wind characteristics, giving better aerodynamic efficiency and reduced cost.
文摘Correspondence factor analysis(CFA)was used in conjunction with linear regression analysis to examine the structure-activity relationships of 50 benzene derivatives tested on Pimephales promelas.From nine molecular descriptors(numbers of C,H,O,N,Br,Cl,NO_2,OH,and NH_2 included in the molecules),CFA made it possible to define five new independent variables which were introduced in a stepwise regression analysis procedure to describe the acute toxicity(96-h LC_(50))of the aromatic compounds.The model log 1/C=-0.727F_1+1.248F_3+4.052(r=0.918; s=0.270)is more relevant to describe the ecotoxicological behavior of the studied compounds on the fathead minnow than that obtained with principal components(log 1/C=0.151 PC_1 -0.271 PC_2+4.124;r=0.737;s=0.460).The heuristic potency of this particular statistical analysis,which is called stochastic regression analysis,is discussed in detail.1989 Academic Press,Inc.
文摘The thermal-induced error is a very important sour ce of machining errors of machine tools. To compensate the thermal-induced machin ing errors, a relationship model between the thermal field and deformations was needed. The relationship can be deduced by virtual of FEM (Finite Element Method ), ANN (Artificial Neural Network) or MRA (Multiple Regression Analysis). MR A is on the basis of a total understanding of the temperature distribution of th e machine tool. Although the more the temperatures measured are, the more accura te the MRA is, too more temperatures will hinder the analysis calculation. So it is necessary to identify the key temperatures of the machine tool. The selectio n of key temperatures decides the efficiency and precision of MRA. Because of th e complexities and multi-input and multi-output structure of the relationships , the exact quantitative portions as well as the unclear portions must be taken into consideration together to improve the identification of key temperatures. I n this paper, a fuzzy cluster analysis was used to select the key temperatures. The substance of identifying the key temperatures is to group all temperatures b y their relativity, and then to select a temperature from each group as the repr esentation. A fuzzy cluster analysis can uncover the relationships between t he thermal field and deformations more truly and thoroughly. A fuzzy cluster ana lysis is the cluster analysis based on fuzzy sets. Given U={u i|i=0,...,N}, in which u i is the temperature measured, a fuzzy matrix R can be obta ined. The transfer close package t(R) can be deduced from R. A fuzzy clu ster of U then conducts on the basis of t(R). Based on the fuzzy cluster analysis discussed above, this paper identified the k ey temperatures of a horizontal machining center. The number of the temperatures measured was reduced to 4 from 32, and then the multiple regression relationshi p models between the 4 temperatures and the thermal deformations of the spindle were drawn. The remnant errors between the regression models and measured deform ations reached a satisfying low level. At the same time, the decreasing of tempe rature variable number improved the efficiency of measure and analysis greatly.
文摘The tool for analyzing and evaluating system characteristics based on the AADL model can achieve real-time,reliability,security,and schedulability analysis and evaluation for software-intensive systems.It provides a complete solution for quality analysis of real-time,reliability,safety,and schedulability in the design and demonstration stages of software-intensive systems.By using the system′s multi-characteristic(real-time capability,reliability,safety,schedulability)analysis and evaluation tool based on AADL models,it can meet the software non-functional requirements stipulated by the existing model development standards and specifications.This effectively enhances the efficiency of demonstrating the compliance of the system′s non-functional quality attributes in the design work of our unit′s software-intensive system.It can also improve the performance of our unit′s software-intensive system in engineering inspections and requirement reviews conducted by various organizations.The improvement in the quality level of software-intensive systems can enhance the market competitiveness of our unit′s electronic products.
基金supported by the Japan Society for the Promotion of Science KAKENHI(19 K09403)the funding body did not play any role in the study or preparation of the manuscript.
文摘Background:Well-designed and functioning emergency medical service(EMS)can provide equitable access to emergency care to im-prove health issues,especially in low-and middle-income countries where the majority of deaths are due to conditions that could be treated with emergency care.To address this gap,this study explored the contextually appropriate development process in addition to the system architecture,which is lacking in Global South EMS research.Method:This study was a thematic analysis of the development of EMS systems in six Asian countries.Experts in emergency care were selected through convenience sampling.Each country described and evaluated its EMS system using a standardized form with 102 EMS items that cover the emergency care system in terms of leadership,governance,financing,community-based activities,prehospital care,and quality assessment.From the descriptions,various themes were extracted focusing on the developmental perspective of EMS in Asia.Result:The study identified the domain of the developmental focus,best practices,and future strategies for EMS in the Asian region.The identified areas for developmental focus are governance,multidisciplinary collaboration,communication/coordination,community partic-ipation,decentralization,equitable access,supply-demand balance,and quality assurance activities.Conclusion:Countries under investigation achieved progress in planning,implementing,and sustaining EMS through varied strategies in the mentioned focal areas that can be emulated by other countries in this region.Further,their development levels varied according to the extent to which each country realized the development principles identified in this study.
基金Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory(XHT2020-003)the Fundamental Research Funds for the Central Universities(WUT:2020Ⅲ029,2020IVA100)。
文摘It is a considerably promising strategy to produce fuels and high-value chemicals through an electrochemical conversion process in the green and sustainable energy systems.Catalysts for electrocatalytic reactions,including hydrogen evolution reaction(HER),oxygen evolution reaction(OER),oxygen reduction reaction(ORR),nitrogen reduction reaction(NRR),carbon dioxide reduction reaction(CO_(2)RR),play a significant role in the advanced energy conversion technologies,such as water splitting devices,fuel cells,and rechargeable metal-air batteries.Developing low-cost and highly efficient electrocatalysts is closely related to establishing the composition-structure-activity relationships and fundamental understanding of catalytic mechanisms.Density functional theory(DFT)is emerging as an important computational tool that can provide insights into the relationship between the electrochemical performances and physical/chemical properties of catalysts.This article presents a review on the progress of the DFT,and the computational simulations,within the framework of DFT,for the electrocatalytic processes,as well as the computational designs and virtual screenings of new electrocatalysts.Some useful descriptors and analysis tools for evaluating the electrocatalytic performances are highlighted,including formation energies,d-band model,scaling relation,egorbital occupation,and free energies of adsorption.Furthermore,the remaining questions and perspectives for the development of DFT for electrocatalysis are also proposed.
基金supported by National Key Research and Development Program of China,China(2021YFC2300900).
文摘Investigating the genetic and developmental characteristics,infection transmission attributes,and epidemiological trends of pathogens using genomic data represents the foundation for pathogen surveillance and is a crucial prerequisite for guaranteeing global health security.To meet the analytical demands of research relating to pathogen prevention and control,we designed a secure visualization system capable of pathogen genome assembly,annotation,species identification,sequence typing,antibiotic resistance and virulence analysis,genomic mobile element and transferable resistance gene annotation,and phylogenetic tree reconstruction.For highly pathogenic organisms requiring complete data protection,we have developed a secure computing tool that utilizes a trusted execution environment,is combined with blockchain and privacy computing technologies,and is specifically designed for nucleotide basic local alignment search tool(BLASTn)comparison analysis.This technological advancement offers scientific support for in‐depth investigations into pathogen transmission and epidemiological mechanisms,environmental adaptability,evolutionary trends,and immune evasion mechanisms,as well as the identification of new or emerging pathogen strains.This,in turn,aids efforts in infectious disease prevention,treatment,and research.
基金the Sino-German research project MAGIM (Matter fluxes in Grasslands of Inner Mongolia as influenced by stocking rate) funded by DFG (German Research Foundation, Research Unit 536)
文摘To provide physically based wind modelling for wind erosion research at regional scale, a 3D computational fluid dynamics (CFD) wind model was developed. The model was programmed in C language based on the Navier-Stokes equations, and it is freely available as open source. Integrated with the spatial analysis and modelling tool (SAMT), the wind model has convenient input preparation and powerful output visualization. To validate the wind model, a series of experiments was con- ducted in a wind tunnel. A blocking inflow experiment was designed to test the performance of the model on simulation of basic fluid processes. A round obstacle experiment was designed to check if the model could simulate the influences of the obstacle on wind field. Results show that measured and simulated wind fields have high correlations, and the wind model can simulate both the basic processes of the wind and the influences of the obstacle on the wind field. These results show the high reliability of the wind model. A digital elevation model (DEM) of an area (3800 m long and 1700 m wide) in the Xilingele grassland in Inner Mongolia (autonomous region, China) was applied to the model, and a 3D wind field has been successfully generated. The clear imple- mentation of the model and the adequate validation by wind tunnel experiments laid a solid foundation for the prediction and assessment of wind erosion at regional scale.
基金supported by the Program of Excellent Team at Harbin Institute of Technology
文摘In this paper,the microstructure of WC-Co alloys with and without nano-additives was characterized by scanning electron microscopy（SEM） and transmission electron microscopy（TEM）.The hardness and fracture toughness was tested by using a Vickers hardness tester and a universal testing machine.The cutting test was carried out at different feed velocities（250 r/min and 320 r/min）,and the contact pairs are cutting tools and 45# steel bars.Results showed that the hardness and fracture toughness of WC-Co cemented carbides with nano-additives are higher than that of WC-Co cemented carbides without nano-additives,and they are increased 10.21% and 19.69%,respectively.The flank worn width and crater width of cutting tools decrease greatly with the addition of nano-additives.For the nano-modified specimen with WC grain size of 7 μm,both the flank worn width and crater width are the minimum after the cutting process.And there are little built-up layers and some pile-up regions on the flank face leading to high cutting performance for the nano-modified cemented carbides.There are some melted regions on the flank face of cutting tools without nano-additives,and the WC grains on the cross section of alloys without nano-additives show severe fragmentation.The wear type of WC-Co is flank wear,and the wear mechanism is abrasive,adhesion and oxidation wear.
基金Project supported by the National "the Tenth Five-Year-Plan" Key Program (No. 2004BA525B08)China and the Key Laboratory of Vegetable Genetics and Physiology, Ministry of Agriculture, China
文摘We examined salt tolerance responsive genes in Pak-choi under salt stress and analyze their potential function. The LRNA differential display was used to screen the transcript derived fragments （TDFs） related to salinity tolerance in tolerant and Loderately tolerant Pak-choi germplasm. Seventy-eight primer combinations generated 101 differential eDNA fragments, which ere divided into 10 expression types. Seven cDNA sequences （GenBank accession Nos. DQ006915-DQ006921） obtained and ,~quenced were highly homologous to some known expression genes or the genes related to the signaling pathways in plants under ifferent abiotic stress.
文摘To determine whether reforestation efforts in the denuded hills have significant impacts on hydrology in the Xinjiang River watershed, the authors examined eight land-cover scenarios to compare hydrologic responses and to provide a conceptual basis for restoration practices. The authors analyzed a 17-year time period using remote sensing to develop land-cover classification for the watershed. Climate, soil and terrain data for the watershed were used as input in the SWAT （soil and water analysis tool） to quantify and compare the impacts on hydrologic processes. The model was calibrated to a two-year record of stream discharge measurements. The results show significant increase in forest-cover on hills （13%）. However, the hydrological response is not very significant considering the changes in forest-cover, the surface runoff and percolation ratios only changed by 2% and 1% over time. Installment of earthen irrigation ponds in the outlets of sub-basin with maximum runoff had provided the most significant hydrologic improvements and could provide irrigation water to increase crop yield on remaining cropland. The study will provide information to the local government to aid decision-making in sustainable reforestation programs resulting in better hydrologic functioning for sustainable water resource management.
文摘Dams are critical and essential elements in any infrastructure and, in front of accidents occurred in many countries, it is extremely important to know the risk of these structures. Inserted in this context, it was found in the technical literature, methods and tools capable of measuring the exposure value by means of indicators. In the study, the highlights were 12 methods of qualitative, semiquantitative and quantitative risk analysis, representing an overview of risk analysis methods available in the literature with potential use in dams, that it has been done into electronic spreadsheets. The case study is performed on a sample of concrete dam and earth/rockfill built and operated by Eletrobr^s Furnas Company, supported by documentary research, projects, field inspections and interviews with experts. After applying the methods and the analysis thereof, has been prepared the Eletrobras Fumas dam risk analysis method which is characterized by adapting the criteria analyzed to the reality of the company＇s dams and it was also performed the portfolio risk analysis of 18 dams. In spite of the variety and subjectivity of qualitative and semiquantitative methods, the results show that they tend to converge on the analysis of dam based on risk. The application methodology demonstrates the feasibility assessment stage, covering the preliminary analysis for portfolio dams, followed by formal and individual risk analyzes for the most critical structures. These results confirm the applicability of risk analysis techniques, contributing to the consolidation of this toot as fundamental in the dam safety.
文摘1 Introduction,Changing Heritage:How Internal Tensions and External Pressures are Threatening Our Cultural and Natural Legacy is the latest book by Francesco Bandarin(2024),a widely known urban heritage expert and the former Director of the UNESCO World Heritage Centre,released by Routledge in 2024.The title suggests an ambitious and,at the same time,holistic approach to heritage studies,making it an essential tool of analysis for those dealing with heritage today.
文摘As an application of artificial intelligence and expert system technology to database design,this paper presents an intelligent design tool NITDT,which comprises a requirements specification lan- guage NITSL,a knowledge representation language NITKL,and an inference engine with uncertainty reasoning capability.NITDT now covers the requirements analysis and conceptual design of database design.However,it is possible to be integrated with another database design tool, NITDBA,developed also at NIT to become an integrated design tool supporting the whole process of database design.
基金This work was supported by the Ph.D.Startup Foundation of Guizhou University of Traditional Chinese Medicine(no.(2020)32 and no.(2019)141)National Natural Science Foundation of China(no.31970629).
文摘Lonicera japonica Thunb.,a traditional Chinese herb,has been used for treating human diseases for thousands of years.Recently,the genome of L.japonica has been decoded,providing valuable information for research into gene function.However,no comprehensive database for gene functional analysis and mining is available for L.japonica.We therefore constructed LjaFGD(www.gzybioinformatics.cn/LjaFGD and bioinformatics.cau.edu.cn/LjaFGD),a database for analyzing and comparing gene function in L.japonica.We constructed a gene co-expression network based on 77 RNA-seq samples,and then annotated genes of L.japonica by alignment against protein sequences from public databases.We also introduced several tools for gene functional analysis,including Blast,motif analysis,gene set enrichment analysis,heatmap analysis,and JBrowse.Our co-expression network revealed that MYB and WRKY transcription factor family genes were co-expressed with genes encoding key enzymes in the biosynthesis of chlorogenic acid and luteolin in L.japonica.We used flavonol synthase 1(LjFLS1)as an example to show the reliability and applicability of our database.LjaFGD and its various associated tools will provide researchers with an accessible platform for retrieving functional information on L.japonica genes to further biological discovery.
