As the trend to use the latestmachine learning models to automate requirements engineering processes continues,security requirements classification is tuning into the most researched field in the software engineering ...As the trend to use the latestmachine learning models to automate requirements engineering processes continues,security requirements classification is tuning into the most researched field in the software engineering community.Previous literature studies have proposed numerousmodels for the classification of security requirements.However,adopting those models is constrained due to the lack of essential datasets permitting the repetition and generalization of studies employing more advanced machine learning algorithms.Moreover,most of the researchers focus only on the classification of requirements with security keywords.They did not consider other nonfunctional requirements(NFR)directly or indirectly related to security.This has been identified as a significant research gap in security requirements engineering.The major objective of this study is to propose a security requirements classification model that categorizes security and other relevant security requirements.We use PROMISE_exp and DOSSPRE,the two most commonly used datasets in the software engineering community.The proposed methodology consists of two steps.In the first step,we analyze all the nonfunctional requirements and their relation with security requirements.We found 10 NFRs that have a strong relationship with security requirements.In the second step,we categorize those NFRs in the security requirements category.Our proposedmethodology is a hybridmodel based on the ConvolutionalNeural Network(CNN)and Extreme Gradient Boosting(XGBoost)models.Moreover,we evaluate the model by updating the requirement type column with a binary classification column in the dataset to classify the requirements into security and non-security categories.The performance is evaluated using four metrics:recall,precision,accuracy,and F1 Score with 20 and 28 epochs number and batch size of 32 for PROMISE_exp and DOSSPRE datasets and achieved 87.3%and 85.3%accuracy,respectively.The proposed study shows an enhancement in metrics values compared to the previous literature studies.This is a proof of concept for systematizing the evaluation of security recognition in software systems during the early phases of software development.展开更多
Capturing of ambient energy is emerging as a transformative area in energy technology,potentially replacing batteries or significantly extending their lifespan.Harnessing of energy from ambient sources presents a sign...Capturing of ambient energy is emerging as a transformative area in energy technology,potentially replacing batteries or significantly extending their lifespan.Harnessing of energy from ambient sources presents a significant opportunity to support sustainable development while mitigating environmental issues.Repurposing energy that would otherwise be wasted from highconsumption systems such as engines and industrial furnaces is essential for reducing ecological footprints and moving toward carbon-neutral goals.Furthermore,compact energy harvesting technologies will play a pivotal role in powering the rapidly expanding Internet of Things,enabling innovative advancements in smart homes,cities,industries,and health care that elevate our living standards.To achieve significant advancements in energy harvesting technologies,the development of innovative materials is crucial for converting ambient energy into electricity.In this regard,two-dimensional(2D)materials,a rising star in the material world,are profoundly and technologically intriguing for energy harvesting.The exceptional atomic thickness,high surface-tovolume ratio,flexibility,and tunable band gap effectively enhance their electronic,optical,and chemical properties,making them a potential candidate for use in flexible electronics and wearable energy harvesting technologies.Consequently,these unique properties of 2D materials remarkably enhance their energy harvesting capabilities,including photovoltaic,triboelectric,thermoelectric,and piezoelectric energy harvesting.Here,we present a tutorial-style review of 2D materials for harvesting energy from different ambient sources(aimed particularly at guiding and educating researchers,especially those new to the field),which starts with a brief overview of the promising properties of 2D materials for energy harvesting,then looks deeply into its advantages as compared to traditional materials along with their 3D counterparts,followed by providing insight into the mechanisms and performance of 2D material-based energy harvesters in portable/wearable electronics,and finally,based on current progress,an overview of the challenges along with corresponding strategies are identified and discussed.展开更多
Multiple morphological abnormalities of sperm flagella(MMAF)is a severe form of asthenoteratozoospermia,characterized by morphological abnormalities and reduced motility of sperm,causing male infertility.Although appr...Multiple morphological abnormalities of sperm flagella(MMAF)is a severe form of asthenoteratozoospermia,characterized by morphological abnormalities and reduced motility of sperm,causing male infertility.Although approximately 60%of MMAF cases can be explained genetically,the etiology of the remaining cases is unclear.Here,we identified two novel compound heterozygous variants in the gene,dynein axonemal heavy chain 10(DNAH10),in three patients from two unrelated Pakistani families using whole-exome sequencing(WES),including one compound heterozygous mutation(DNAH10:c.9409C>A[p.P3137T];c.12946G>C[p.D4316H])in family 1 and another compound heterozygous mutation(DNAH10:c.8849G>A[p.G2950D];c.11509C>T[p.R3687W])in family 2.All the identified variants are absent or rare in public genome databases and are predicted to have deleterious effects according to multiple bioinformatic tools.Sanger sequencing revealed that these variants follow an autosomal recessive mode of inheritance.Hematoxylin and eosin(H&E)staining revealed MMAF,including sperm head abnormalities,in the patients.In addition,immunofluorescence staining revealed loss of DNAH10 protein signals along sperm flagella.These findings broaden the spectrum of DNAH10 variants and expand understanding of the genetic basis of male infertility associated with the MMAF phenotype.展开更多
Multiple morphological abnormalities of the flagella(MMAF)represent a severe form of sperm defects leading to asthenozoospermia and male infertility.In this study,we identified a novel homozygous splicing mutation(c.8...Multiple morphological abnormalities of the flagella(MMAF)represent a severe form of sperm defects leading to asthenozoospermia and male infertility.In this study,we identified a novel homozygous splicing mutation(c.871-4 ACA>A)in the adenylate kinase 7(AK7)gene by whole-exome sequencing in infertile individuals.Spermatozoa from affected individuals exhibited typical MMAF characteristics,including coiled,bent,short,absent,and irregular flagella.Transmission electron microscopy analysis showed disorganized axonemal structure and abnormal mitochondrial sheets in sperm flagella.Immunofluorescence staining confirmed the absence of AK7 protein from the patients’spermatozoa,validating the pathogenic nature of the mutation.This study provides direct evidence linking the AK7 gene to MMAF-associated asthenozoospermia in humans,expanding the mutational spectrum of AK7 and enhancing our understanding of the genetic basis of male infertility.展开更多
Multiple morphological abnormalities of the sperm flagella(MMAF)are characterized by bent,irregular,short,coiled,and absent flagella.MMAF is caused by a variety of genes,some of which have been identified.However,the ...Multiple morphological abnormalities of the sperm flagella(MMAF)are characterized by bent,irregular,short,coiled,and absent flagella.MMAF is caused by a variety of genes,some of which have been identified.However,the underlying genetic factors responsible for the majority of MMAF cases are still largely unknown.The glutamine-rich 2(QRICH2)gene plays an essential role in the development of sperm flagella by regulating the expression of essential sperm flagellar biogenesis-associated proteins,and genetic variants of QRICH2 have been identified as the primary cause of MMAF in humans and mice.Here,we recruited a Pakistani consanguineous family to identify the genetic variant causing infertility in patients with MMAF.Whole-exome sequencing and Sanger sequencing were conducted to identify potentially pathogenic variants causing MMAF in infertile patients.Hematoxylin and eosin(HE)staining was performed to analyze sperm morphology.Quantitative polymerase chain reaction,western blot,and immunofluorescence staining analyses were conducted to observe the expression of QRICH2 in spermatozoa.A novel homozygous missense variant(c.4618C>T)in QRICH2 was identified in the affected patients.Morphological analysis of spermatozoa revealed the MMAF phenotype in infertile patients.qPCR revealed a significant reduction in the level of sperm QRICH2 mRNA,and immunofluorescence staining revealed a lack of sperm QRICH2 expression.Additionally,patients harboring a homozygous QRICH2 mutation presented reduced expression of outer dense fiber 2(ODF2)in sperm,whereas sperm expression of A-kinase anchor protein 4(AKAP4)was normal.These findings expand our understanding of the genetic causes of MMAF-associated male infertility and emphasize the importance of genetic counseling.展开更多
To achieve efficient photocatalytic H_(2) generation from water using earth-abundant and cost-effective materials,a simple synthesis method for carbon-doped CdS particles wrapped with graphene(C-doped CdS@G)is reporte...To achieve efficient photocatalytic H_(2) generation from water using earth-abundant and cost-effective materials,a simple synthesis method for carbon-doped CdS particles wrapped with graphene(C-doped CdS@G)is reported.The doping effect and the application of graphene as cocatalyst for CdS is studied for photocatalytic H_(2) generation.The most active sample consists of CdS and graphene(CdS-0.15G)exhibits promising photocatalytic activity,producing 3.12 mmol g^-(1) h^-(1) of H_(2) under simulated solar light which is^4.6 times superior than pure CdS nanoparticles giving an apparent quantum efficiency(AQY)of 11.7%.The enhanced photocatalytic activity for H_(2) generation is associated to the narrowing of the bandgap,enhanced light absorption,fast interfacial charge transfer,and higher carrier density(N_(D))in C-doped CdS@G samples.This is achieved by C doping in CdS nanoparticles and the formation of a graphene shell over the C-doped CdS nanoparticles.After stability test,the spent catalysts sample was also characterized to investigate the nanostructure.展开更多
Deformation twinning is profusely activated in the Mg alloys due to lower critical resolved shear stress(CRSS) compared to the non-basal slip systems(prismatic and pyramidal ) and plays a significant role in texture r...Deformation twinning is profusely activated in the Mg alloys due to lower critical resolved shear stress(CRSS) compared to the non-basal slip systems(prismatic and pyramidal ) and plays a significant role in texture reorientation, grain refinement and enhancement of mechanical performance. Twinning is a sequential process comprising twin nucleation, twin propagation and twin growth, hence several intrinsic and extrinsic parameters that facilitate or suppress the process have been critically reviewed. The dependence of twinning on the grain size, deformation temperature, favorable grain orientation and shear strain have been thoroughly discussed in the context of published literature and an attempt has been made to provide a benchmark conclusive finding based on the majority of works. Furthermore, the subsequent effect of twinning on the mechanical performance of Mg alloys, including ductility, formability and tension-compression asymmetry has been discussed in detail. Lastly, the stability of twins, including stress and thermal stability, is summarized and critical issues related to pertinent bottlenecks have been addressed.展开更多
Critical properties of metallic materials,such as the yield stress,corrosion resistance and ductility depend on the microstructure and its grain size and size distribution.Solute atoms that favorably segregate to grai...Critical properties of metallic materials,such as the yield stress,corrosion resistance and ductility depend on the microstructure and its grain size and size distribution.Solute atoms that favorably segregate to grain boundaries produce a pinning atmosphere that exerts a drag pressure on the boundary motion,which strongly affects the grain growth behavior during annealing.In the current work,the characteristics of grain growth in an annealed Mg-1 wt.%Mn-1 wt.%Nd magnesium alloy were investigated by advanced experimental and modeling techniques.Systematic quasi in-situ orientation mappings with a scanning electron microscope were performed to track the evolution of local and global microstructural characteristics as a function of annealing time.Solute segregation at targeted grain boundaries was measured using three-dimensional atom probe tomography.Level-set computer simulations were carried with different setups of driving forces to explore their contribution to the microstructure development with and without solute drag.The results showed that the favorable growth advantage for some grains leading to a transient stage of abnormal grain growth is controlled by several drivers with varying importance at different stages of annealing.For longer annealing times,residual dislocation density gradients between large and smaller grains are no longer important,which leads to microstructure stability due to predominant solute drag.Local fluctuations in residual dislocation energy and solute concentration near grain boundaries cause different boundary segments to migrate at different rates,which affects the average growth rate of large grains and their evolved shape.展开更多
Aurivillius Na_(0.5)Bi_(4.5)Ti_(4)O_(15) and Bi_(4)Ti_(3)O_(12)compounds were synthesized via solid-state reaction technique.X-ray powder diffraction study confirmed monophasic four-layered Na_(0.5)Bi_(4.5)Ti_(4)O_(15...Aurivillius Na_(0.5)Bi_(4.5)Ti_(4)O_(15) and Bi_(4)Ti_(3)O_(12)compounds were synthesized via solid-state reaction technique.X-ray powder diffraction study confirmed monophasic four-layered Na_(0.5)Bi_(4.5)Ti_(4)O_(15) and three-layered Bi_(4)Ti_(3)O_(12) ceramics.Dielectric relaxation and conduction behaviors of Na-contained Na_(0.5)Bi_(4.5)Ti_(4)O_(15)ceramics were thoroughly investigated in a large scale of temperature of 30-650℃ and frequency of 40 Hz^(-1) MHz.In addition,comparative studies of both the compounds were discussed.Impedance and modulus analyses revealed a single relaxation behavior in Na_(0.5)Bi_(4.5)Ti_(4)O_(15) compound which was originated from the grain’s interior with grain resistance of 2.189×10^(5)Ω and capacitance of 4.268×10^(-10) F at 570℃.While in Bi_(4)Ti_(3)O_(12) ceramic the relaxation was due to the contributions of grain and grain boundaries.Alternating current(AC)conductivity analysis revealed the presence of two different conduction regions in both the compounds.Activation energies for the two different conduction mechanisms,i.e.,in low-temperature region and in high-temperature region were calculated to be~0.23 and~1.27 eV at 1 kHz for Na_(0.5)Bi_(4.5)Ti_(4)O_(15) compound and~0.43 eV and~0.97 eV at 1 kHz for Bi_(4)Ti_(3)O_(12) compound,respectively.The present study of dielectric relaxation and conduction behaviors would be helpful for further investigations of Na_(0.5)Bi_(4.5)Ti_(4)O_(15)-related Aurivillius compounds.展开更多
Multiple morphological abnormalities of the sperm flagella(MMAF)is a specific type of asthenoteratozoospermia,presenting with multiple morphological anomalies in spermatozoa,such as absent,bent,coiled,short,or irregul...Multiple morphological abnormalities of the sperm flagella(MMAF)is a specific type of asthenoteratozoospermia,presenting with multiple morphological anomalies in spermatozoa,such as absent,bent,coiled,short,or irregular caliber flagella.Previous genetic studies revealed pathogenic mutations in genes encoding cilia and flagella-associated proteins(CFAPs;e.g.,CFAP43,CFAP44,CFAP65,CFAP69,CFAP70,and CFAP251)responsible for the MMAF phenotype in infertile men from different ethnic groups.However,none of them have been identified in infertile Pakistani males with MMAF.In the current study,two Pakistani families with MMAF patients were recruited.Whole-exome sequencing(WES)of patients and their parents was performed.WES analysis reflected novel biallelic loss-of-function mutations in CFAP43 in both families(Family 1:ENST00000357060.3,p.Arg300Lysfs*22 and p.Thr526Serfs*43 in a compound heterozygous state;Family 2:ENST00000357060.3,p.Thr526Serfs*43 in a homozygous state).Sanger sequencing further confirmed that these mutations were segregated recessively in the families with the MMAF phenotype.Semiquantitative reverse-transcriptase polymerase chain reaction(qRT-PCR)was carried out to detect the effect of the mutation on mRNA of the affected gene.Previous research demonstrated that biallelic loss-of-function mutations in CFAP43 accounted for the majority of all CFAP43-mutant MMAF patients.To the best of our knowledge,this is the first study to report CFAP43 biallelic loss-of-function mutations in a Pakistani population with the MMAF phenotype.This study will help researchers and clinicians to understand the genetic etiology of MMAF better.展开更多
IPv6 over Low Power Wireless Personal Area Network(6LoWPAN)connects the highly constrained sensor nodes with the internet using the IPv6 protocol.6LoWPAN has improved the scalability of the Internet of Things(IoTs)inf...IPv6 over Low Power Wireless Personal Area Network(6LoWPAN)connects the highly constrained sensor nodes with the internet using the IPv6 protocol.6LoWPAN has improved the scalability of the Internet of Things(IoTs)infrastructure and allows mobile nodes to send packets over the IEEE 802.15.4 wireless network.Several mobility managements schemes have been suggested for handling the registration and handover procedures in 6LoWPAN.However,these schemes have performance constraints,such as increased transmission cost,signalling overhead,registration,and handover latency.To address these issues,we propose a novel cluster-based group mobility scheme(CGM6)for 6LoWPAN.To reduce the signalling cost in the CGM6 scheme,we propose to combine the functions of the Authentication,Authorization and Accounting(AAA)server and Local Mobility Anchor(LMA)in AMAG6(AAA+MAG for 6LoWPAN).AMAG6 acts as a cluster head and exchange its information directly with its neighbouring AMAG6 during the mobility.Furthermore,AMAG6 is responsible for the binding and authentication process.To reduce the transmission cost,we also propose enhancements in registration and Handover procedures.The performance of CGM6 is evaluated through extensive simulations.The simulation results show that CGM6 has reduced the handoff latency by 32%,registration delay by 11%and transmission cost by 37%compared to the state-of-the-art mobility management schemes.展开更多
One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic data.Furthermore,the complicated genetic disease has a very diverse genotype,making it challengi...One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic data.Furthermore,the complicated genetic disease has a very diverse genotype,making it challenging to find genetic markers.This is a challenging process since it must be completed effectively and efficiently.This research article focuses largely on which patients are more likely to have a genetic disorder based on numerous medical parameters.Using the patient’s medical history,we used a genetic disease prediction algorithm that predicts if the patient is likely to be diagnosed with a genetic disorder.To predict and categorize the patient with a genetic disease,we utilize several deep and machine learning techniques such as Artificial neural network(ANN),K-nearest neighbors(KNN),and Support vector machine(SVM).To enhance the accuracy of predicting the genetic disease in any patient,a highly efficient approach was utilized to control how the model can be used.To predict genetic disease,deep and machine learning approaches are performed.The most productive tool model provides more precise efficiency.The simulation results demonstrate that by using the proposed model with the ANN,we achieve the highest model performance of 85.7%,84.9%,84.3%accuracy of training,testing and validation respectively.This approach will undoubtedly transform genetic disorder prediction and give a real competitive strategy to save patients’lives.展开更多
Infertility is a major health issue,affecting approximately 15%of couples of child-bearing age.Although nearly half of idiopathic infertility cases are assumed to have a genetic basis,the underlying causes remain larg...Infertility is a major health issue,affecting approximately 15%of couples of child-bearing age.Although nearly half of idiopathic infertility cases are assumed to have a genetic basis,the underlying causes remain largely unknown in most infertile men.展开更多
The voltage decay of lithium-rich layered oxides(LLOs)is still one of the key challenges for their application in commercial battery although these materials possess the advantages of high specific capacity and low co...The voltage decay of lithium-rich layered oxides(LLOs)is still one of the key challenges for their application in commercial battery although these materials possess the advantages of high specific capacity and low cost.In this work,the relationship between voltage decay and tap density of LLOs has been focused.The voltage decay can be significantly suppressed with the increasing tap density as well as the homogenization of the primary or secondary particle size of agglomerated spherical LLOs.Experimental results have shown that an extreme small voltage decay of 0.98 m V cycle^(-1)can be obtained through adjusting the tap density of agglomerated spherical LLOs to 1.99 g cm^(-3),in which the size of primary and secondary particles are uniform.Our work offers a new insight towards the voltage decay and capacity fading of LLOs through precursor preparation process,promoting their application in the real battery in the future.展开更多
Multiple morphological abnormalities of the sperm flagella(MMAF)is a severe form of asthenozoospermia categorized by immotile spermatozoa with abnormal flagella in ejaculate.Whole-exome sequencing(WES)is used to detec...Multiple morphological abnormalities of the sperm flagella(MMAF)is a severe form of asthenozoospermia categorized by immotile spermatozoa with abnormal flagella in ejaculate.Whole-exome sequencing(WES)is used to detect pathogenic variants in patients with MMAF.In this study,a novel homozygous frameshift variant(c.6158_6159insT)in dynein axonemal heavy chain 8(DNAH8)from two infertile brothers with MMAF in a consanguineous Pakistani family was identified by WES.Reverse transcription-polymerase chain reaction(RT-PCR)confirmed DNAH8 mRNA decay in these patients with the DNAH8 mutation.Hematoxylin–eosin staining and transmission electron microscopy revealed highly divergent morphology and ultrastructure of sperm flagella in these patients.Furthermore,an immunofluorescence assay showed the absence of DNAH8 and a reduction in its associated protein DNAH17 in the patients'spermatozoa.Collectively,our study expands the phenotypic spectrum of patients with DNAH8-related MMAF worldwide.展开更多
Asthenoteratozoospermia is one of the most severe types of qualitative sperm defects.Most cases are due to mutations in genes encoding the components of sperm flagella,which have an ultrastructure similar to that of m...Asthenoteratozoospermia is one of the most severe types of qualitative sperm defects.Most cases are due to mutations in genes encoding the components of sperm flagella,which have an ultrastructure similar to that of motile cilia.Coiled-coil domain containing 103(CCDC103)is an outer dynein arm assembly factor,and pathogenic variants of CCDC103 cause primary ciliary dyskinesia(PCD).However,whether CCDC103 pathogenic variants cause severe asthenoteratozoospermia has yet to be determined.Whole-exome sequencing(WES)was performed for two individuals with nonsyndromic asthenoteratozoospermia in a consanguineous family.A homozygous CCDC103 variant segregating recessively with an infertility phenotype was identified(ENST00000035776.2,c.461A>C,p.His154Pro).CCDC103 p.His154Pro was previously reported as a high prevalence mutation causing PCD,though the reproductive phenotype of these PCD individuals is unknown.Transmission electron microscopy(TEM)of affected individuals’spermatozoa showed that the mid-piece was severely damaged with disorganized dynein arms,similar to the abnormal ultrastructure of respiratory ciliary of PCD individuals with the same mutation.Thus,our findings expand the phenotype spectrum of CCDC103 p.His154Pro as a novel pathogenic gene for nonsyndromic asthenospermia.展开更多
Wheat is a critical crop,extensively consumed worldwide,and its production enhancement is essential to meet escalating demand.The presence of diseases like stem rust,leaf rust,yellow rust,and tan spot significantly di...Wheat is a critical crop,extensively consumed worldwide,and its production enhancement is essential to meet escalating demand.The presence of diseases like stem rust,leaf rust,yellow rust,and tan spot significantly diminishes wheat yield,making the early and precise identification of these diseases vital for effective disease management.With advancements in deep learning algorithms,researchers have proposed many methods for the automated detection of disease pathogens;however,accurately detectingmultiple disease pathogens simultaneously remains a challenge.This challenge arises due to the scarcity of RGB images for multiple diseases,class imbalance in existing public datasets,and the difficulty in extracting features that discriminate between multiple classes of disease pathogens.In this research,a novel method is proposed based on Transfer Generative Adversarial Networks for augmenting existing data,thereby overcoming the problems of class imbalance and data scarcity.This study proposes a customized architecture of Vision Transformers(ViT),where the feature vector is obtained by concatenating features extracted from the custom ViT and Graph Neural Networks.This paper also proposes a Model AgnosticMeta Learning(MAML)based ensemble classifier for accurate classification.The proposedmodel,validated on public datasets for wheat disease pathogen classification,achieved a test accuracy of 99.20%and an F1-score of 97.95%.Compared with existing state-of-the-art methods,this proposed model outperforms in terms of accuracy,F1-score,and the number of disease pathogens detection.In future,more diseases can be included for detection along with some other modalities like pests and weed.展开更多
Breast cancer(BC)is the most widespread tumor in females worldwide and is a severe public health issue.BC is the leading reason of death affecting females between the ages of 20 to 59 around the world.Early detection ...Breast cancer(BC)is the most widespread tumor in females worldwide and is a severe public health issue.BC is the leading reason of death affecting females between the ages of 20 to 59 around the world.Early detection and therapy can help women receive effective treatment and,as a result,decrease the rate of breast cancer disease.The cancer tumor develops when cells grow improperly and attack the healthy tissue in the human body.Tumors are classified as benign or malignant,and the absence of cancer in the breast is considered normal.Deep learning,machine learning,and transfer learning models are applied to detect and identify cancerous tissue like BC.This research assists in the identification and classification of BC.We implemented the pre-trained model AlexNet and proposed model Breast cancer identification and classification(BCIC),which are machine learning-based models,by evaluating them in the form of comparative research.We used 3 datasets,A,B,and C.We fuzzed these datasets and got 2 datasets,A2C and B3C.Dataset A2C is the fusion of A,B,and C with 2 classes categorized as benign and malignant.Dataset B3C is the fusion of datasets A,B,and C with 3 classes classified as benign,malignant,and normal.We used customized AlexNet according to our datasets and BCIC in our proposed model.We achieved an accuracy of 86.5%on Dataset B3C and 76.8%on Dataset A2C by using AlexNet,and we achieved the optimum accuracy of 94.5%on Dataset B3C and 94.9%on Dataset A2C by using proposed model BCIC at 40 epochs with 0.00008 learning rate.We proposed fuzzed dataset model using transfer learning.We fuzzed three datasets to get more accurate results and the proposed model achieved the highest prediction accuracy using fuzzed dataset transfer learning technique.展开更多
Spray cooling is an effective tool to dissipate high heat fluxes from hot surfaces. This paper thoroughly investigates the effects of spray parameters on the cooling time and cooling rate under varying inlet pressure ...Spray cooling is an effective tool to dissipate high heat fluxes from hot surfaces. This paper thoroughly investigates the effects of spray parameters on the cooling time and cooling rate under varying inlet pressure using water as the coolant. Cylindrical samples of stainless steel with constant diameter, D = 25 mm, and thickness δ: 8.5 mm, 13 mm, 17.5 mm and 22 mm were investigated. Critical droplet diameter to achieve an ultrafast cooling rate of 300°C/s was estimated by using analytical model for samples of varying thickness. At an inlet pressure of 0.8 MPa, maximum cooling rates of 424.2°C/s, 502.81°C/s and 573.1°C/s were achieved for wall super heat ΔT = 600°C, 700°C and 800°C respectively.展开更多
The United Arab Emirates lacks conventional water resources and relies primarily on desalination plants powered by fossil fuels to produce fresh water.Nuclear desalination is a proven technology,cost-competitive,and s...The United Arab Emirates lacks conventional water resources and relies primarily on desalination plants powered by fossil fuels to produce fresh water.Nuclear desalination is a proven technology,cost-competitive,and sustainable option capable of integrating the existing largescale desalination plants to produce both freshwater and electricity.However,Small Modular Reactors(SMRs)are promising designs with advanced simplified configurations and inherent safety features.In this study,an Integrated Desalination SMR that produces thermal energy compatible with the capacity of a fossil fuel-powered desalination plant in the UAE was designed.First,the APR-1400 reactor core was used to investigate two 150 MWthconceptual SMR core designs,core A and core B,based on two-dimensional parameters,radius,and height.Then,the CASMO-4 lattice code was used to generate homogenized few-group constants for optimized fuel assembly loading patterns.Finally,to find the best core configuration,SIMULATE-3 was used to calculate the core key physics parameters such as power distribution,reactivity coefficients,and critical boron concentration.In addition,different reflector materials were investigated to compensate for the expected high leakage of the small-sized SMR cores.The pan shape core B model(142.6132 cm diameter,100 cm height,and radially reflected by Stainless Steel)was selected as the best core configuration based on its calculated physics parameters.Core B met the design and safety criteria and indicated low total neutron leakage of 11.60%and flat power distribution with 1.50 power peaking factor.Compared to core A,it has a more negative MTC value of-6.93 pcm/°F with lower CBC.In a 2-batch scheme,the fuel is discharged at 42.25 GWd/MTU burnup after a long cycle length of 1.58 years.The core B model offers the highest specific power of 36.56 kW/kgU while utilizing the smallest heavy metal mass compared with the SMART and NuScale models.展开更多
基金The authors of this study extend their appreciation to the Researchers Supporting Project number(RSPD2025R544),King Saud University,Riyadh,Saudia Arabia.
文摘As the trend to use the latestmachine learning models to automate requirements engineering processes continues,security requirements classification is tuning into the most researched field in the software engineering community.Previous literature studies have proposed numerousmodels for the classification of security requirements.However,adopting those models is constrained due to the lack of essential datasets permitting the repetition and generalization of studies employing more advanced machine learning algorithms.Moreover,most of the researchers focus only on the classification of requirements with security keywords.They did not consider other nonfunctional requirements(NFR)directly or indirectly related to security.This has been identified as a significant research gap in security requirements engineering.The major objective of this study is to propose a security requirements classification model that categorizes security and other relevant security requirements.We use PROMISE_exp and DOSSPRE,the two most commonly used datasets in the software engineering community.The proposed methodology consists of two steps.In the first step,we analyze all the nonfunctional requirements and their relation with security requirements.We found 10 NFRs that have a strong relationship with security requirements.In the second step,we categorize those NFRs in the security requirements category.Our proposedmethodology is a hybridmodel based on the ConvolutionalNeural Network(CNN)and Extreme Gradient Boosting(XGBoost)models.Moreover,we evaluate the model by updating the requirement type column with a binary classification column in the dataset to classify the requirements into security and non-security categories.The performance is evaluated using four metrics:recall,precision,accuracy,and F1 Score with 20 and 28 epochs number and batch size of 32 for PROMISE_exp and DOSSPRE datasets and achieved 87.3%and 85.3%accuracy,respectively.The proposed study shows an enhancement in metrics values compared to the previous literature studies.This is a proof of concept for systematizing the evaluation of security recognition in software systems during the early phases of software development.
基金supported by the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT(MSIT),Project No.RS-2025-24533268.
文摘Capturing of ambient energy is emerging as a transformative area in energy technology,potentially replacing batteries or significantly extending their lifespan.Harnessing of energy from ambient sources presents a significant opportunity to support sustainable development while mitigating environmental issues.Repurposing energy that would otherwise be wasted from highconsumption systems such as engines and industrial furnaces is essential for reducing ecological footprints and moving toward carbon-neutral goals.Furthermore,compact energy harvesting technologies will play a pivotal role in powering the rapidly expanding Internet of Things,enabling innovative advancements in smart homes,cities,industries,and health care that elevate our living standards.To achieve significant advancements in energy harvesting technologies,the development of innovative materials is crucial for converting ambient energy into electricity.In this regard,two-dimensional(2D)materials,a rising star in the material world,are profoundly and technologically intriguing for energy harvesting.The exceptional atomic thickness,high surface-tovolume ratio,flexibility,and tunable band gap effectively enhance their electronic,optical,and chemical properties,making them a potential candidate for use in flexible electronics and wearable energy harvesting technologies.Consequently,these unique properties of 2D materials remarkably enhance their energy harvesting capabilities,including photovoltaic,triboelectric,thermoelectric,and piezoelectric energy harvesting.Here,we present a tutorial-style review of 2D materials for harvesting energy from different ambient sources(aimed particularly at guiding and educating researchers,especially those new to the field),which starts with a brief overview of the promising properties of 2D materials for energy harvesting,then looks deeply into its advantages as compared to traditional materials along with their 3D counterparts,followed by providing insight into the mechanisms and performance of 2D material-based energy harvesters in portable/wearable electronics,and finally,based on current progress,an overview of the challenges along with corresponding strategies are identified and discussed.
基金supported by the National Natural Science Foundation of China(No.32100689)the National Key Research and Development Program of China(No.2021YFC2700202,No.2022YFA0806303,and No.2022YFC2702601)+1 种基金the Global Select Project(No.DJK-LX-2022010)of the Institute of Health and MedicineHefei Comprehensive National Science Center,and the Joint Fund for New Medicine of USTC(No.YD9100002034).
文摘Multiple morphological abnormalities of sperm flagella(MMAF)is a severe form of asthenoteratozoospermia,characterized by morphological abnormalities and reduced motility of sperm,causing male infertility.Although approximately 60%of MMAF cases can be explained genetically,the etiology of the remaining cases is unclear.Here,we identified two novel compound heterozygous variants in the gene,dynein axonemal heavy chain 10(DNAH10),in three patients from two unrelated Pakistani families using whole-exome sequencing(WES),including one compound heterozygous mutation(DNAH10:c.9409C>A[p.P3137T];c.12946G>C[p.D4316H])in family 1 and another compound heterozygous mutation(DNAH10:c.8849G>A[p.G2950D];c.11509C>T[p.R3687W])in family 2.All the identified variants are absent or rare in public genome databases and are predicted to have deleterious effects according to multiple bioinformatic tools.Sanger sequencing revealed that these variants follow an autosomal recessive mode of inheritance.Hematoxylin and eosin(H&E)staining revealed MMAF,including sperm head abnormalities,in the patients.In addition,immunofluorescence staining revealed loss of DNAH10 protein signals along sperm flagella.These findings broaden the spectrum of DNAH10 variants and expand understanding of the genetic basis of male infertility associated with the MMAF phenotype.
基金supported by the National Key Research and Development Program of China(No.2021YFC2700202,No.2022YFA0806303,and No.2022YFC2702601)the Global Select Project of the Institute of Health and Medicine,Hefei Comprehensive National Science Center(DJK-LX-2022010)the Joint Fund for New Medicine of USTC(YD9100002034).
文摘Multiple morphological abnormalities of the flagella(MMAF)represent a severe form of sperm defects leading to asthenozoospermia and male infertility.In this study,we identified a novel homozygous splicing mutation(c.871-4 ACA>A)in the adenylate kinase 7(AK7)gene by whole-exome sequencing in infertile individuals.Spermatozoa from affected individuals exhibited typical MMAF characteristics,including coiled,bent,short,absent,and irregular flagella.Transmission electron microscopy analysis showed disorganized axonemal structure and abnormal mitochondrial sheets in sperm flagella.Immunofluorescence staining confirmed the absence of AK7 protein from the patients’spermatozoa,validating the pathogenic nature of the mutation.This study provides direct evidence linking the AK7 gene to MMAF-associated asthenozoospermia in humans,expanding the mutational spectrum of AK7 and enhancing our understanding of the genetic basis of male infertility.
基金supported by the National Key Research and Development Program of China(2021YFC2700202,2022YFA0806303 and 2022YFC2702601)the Global Select Project of the Institute of Health and Medicine,Hefei Comprehensive National Science Center(DJK-LX-2022010)+1 种基金USTC Research Funds of the Double First-Class Initiative(the Joint Fund for New Medicine of USTC)(YD9100002034)the Fundamental Research Funds for the Central Universities(WK9100000004).
文摘Multiple morphological abnormalities of the sperm flagella(MMAF)are characterized by bent,irregular,short,coiled,and absent flagella.MMAF is caused by a variety of genes,some of which have been identified.However,the underlying genetic factors responsible for the majority of MMAF cases are still largely unknown.The glutamine-rich 2(QRICH2)gene plays an essential role in the development of sperm flagella by regulating the expression of essential sperm flagellar biogenesis-associated proteins,and genetic variants of QRICH2 have been identified as the primary cause of MMAF in humans and mice.Here,we recruited a Pakistani consanguineous family to identify the genetic variant causing infertility in patients with MMAF.Whole-exome sequencing and Sanger sequencing were conducted to identify potentially pathogenic variants causing MMAF in infertile patients.Hematoxylin and eosin(HE)staining was performed to analyze sperm morphology.Quantitative polymerase chain reaction,western blot,and immunofluorescence staining analyses were conducted to observe the expression of QRICH2 in spermatozoa.A novel homozygous missense variant(c.4618C>T)in QRICH2 was identified in the affected patients.Morphological analysis of spermatozoa revealed the MMAF phenotype in infertile patients.qPCR revealed a significant reduction in the level of sperm QRICH2 mRNA,and immunofluorescence staining revealed a lack of sperm QRICH2 expression.Additionally,patients harboring a homozygous QRICH2 mutation presented reduced expression of outer dense fiber 2(ODF2)in sperm,whereas sperm expression of A-kinase anchor protein 4(AKAP4)was normal.These findings expand our understanding of the genetic causes of MMAF-associated male infertility and emphasize the importance of genetic counseling.
基金support from the Research Council of Norway provided by the Norwegian Center for Transmission Electron Microscopy,NORTEM(197405/F50)NTNU NanoLab(grant number 245963)which have provided the characterization toolsthe strategic funding support provided by Department of Chemical Engineering,NTNU,Trondheim,Norway.
文摘To achieve efficient photocatalytic H_(2) generation from water using earth-abundant and cost-effective materials,a simple synthesis method for carbon-doped CdS particles wrapped with graphene(C-doped CdS@G)is reported.The doping effect and the application of graphene as cocatalyst for CdS is studied for photocatalytic H_(2) generation.The most active sample consists of CdS and graphene(CdS-0.15G)exhibits promising photocatalytic activity,producing 3.12 mmol g^-(1) h^-(1) of H_(2) under simulated solar light which is^4.6 times superior than pure CdS nanoparticles giving an apparent quantum efficiency(AQY)of 11.7%.The enhanced photocatalytic activity for H_(2) generation is associated to the narrowing of the bandgap,enhanced light absorption,fast interfacial charge transfer,and higher carrier density(N_(D))in C-doped CdS@G samples.This is achieved by C doping in CdS nanoparticles and the formation of a graphene shell over the C-doped CdS nanoparticles.After stability test,the spent catalysts sample was also characterized to investigate the nanostructure.
基金supported by the National Research Foundation of Korea (NRF)grant funded by the Korean government (MSIT) (No.2020R1C1C1004434)。
文摘Deformation twinning is profusely activated in the Mg alloys due to lower critical resolved shear stress(CRSS) compared to the non-basal slip systems(prismatic and pyramidal ) and plays a significant role in texture reorientation, grain refinement and enhancement of mechanical performance. Twinning is a sequential process comprising twin nucleation, twin propagation and twin growth, hence several intrinsic and extrinsic parameters that facilitate or suppress the process have been critically reviewed. The dependence of twinning on the grain size, deformation temperature, favorable grain orientation and shear strain have been thoroughly discussed in the context of published literature and an attempt has been made to provide a benchmark conclusive finding based on the majority of works. Furthermore, the subsequent effect of twinning on the mechanical performance of Mg alloys, including ductility, formability and tension-compression asymmetry has been discussed in detail. Lastly, the stability of twins, including stress and thermal stability, is summarized and critical issues related to pertinent bottlenecks have been addressed.
基金support of the Deutsche Forschungsgemeinschaft(DFG),Grant no.AL 1343/7–1,AL 1343/8–1,Yi 103/3–1。
文摘Critical properties of metallic materials,such as the yield stress,corrosion resistance and ductility depend on the microstructure and its grain size and size distribution.Solute atoms that favorably segregate to grain boundaries produce a pinning atmosphere that exerts a drag pressure on the boundary motion,which strongly affects the grain growth behavior during annealing.In the current work,the characteristics of grain growth in an annealed Mg-1 wt.%Mn-1 wt.%Nd magnesium alloy were investigated by advanced experimental and modeling techniques.Systematic quasi in-situ orientation mappings with a scanning electron microscope were performed to track the evolution of local and global microstructural characteristics as a function of annealing time.Solute segregation at targeted grain boundaries was measured using three-dimensional atom probe tomography.Level-set computer simulations were carried with different setups of driving forces to explore their contribution to the microstructure development with and without solute drag.The results showed that the favorable growth advantage for some grains leading to a transient stage of abnormal grain growth is controlled by several drivers with varying importance at different stages of annealing.For longer annealing times,residual dislocation density gradients between large and smaller grains are no longer important,which leads to microstructure stability due to predominant solute drag.Local fluctuations in residual dislocation energy and solute concentration near grain boundaries cause different boundary segments to migrate at different rates,which affects the average growth rate of large grains and their evolved shape.
基金financially supported by National Natural Science Foundation of China(Nos.51972029 and 51772029)。
文摘Aurivillius Na_(0.5)Bi_(4.5)Ti_(4)O_(15) and Bi_(4)Ti_(3)O_(12)compounds were synthesized via solid-state reaction technique.X-ray powder diffraction study confirmed monophasic four-layered Na_(0.5)Bi_(4.5)Ti_(4)O_(15) and three-layered Bi_(4)Ti_(3)O_(12) ceramics.Dielectric relaxation and conduction behaviors of Na-contained Na_(0.5)Bi_(4.5)Ti_(4)O_(15)ceramics were thoroughly investigated in a large scale of temperature of 30-650℃ and frequency of 40 Hz^(-1) MHz.In addition,comparative studies of both the compounds were discussed.Impedance and modulus analyses revealed a single relaxation behavior in Na_(0.5)Bi_(4.5)Ti_(4)O_(15) compound which was originated from the grain’s interior with grain resistance of 2.189×10^(5)Ω and capacitance of 4.268×10^(-10) F at 570℃.While in Bi_(4)Ti_(3)O_(12) ceramic the relaxation was due to the contributions of grain and grain boundaries.Alternating current(AC)conductivity analysis revealed the presence of two different conduction regions in both the compounds.Activation energies for the two different conduction mechanisms,i.e.,in low-temperature region and in high-temperature region were calculated to be~0.23 and~1.27 eV at 1 kHz for Na_(0.5)Bi_(4.5)Ti_(4)O_(15) compound and~0.43 eV and~0.97 eV at 1 kHz for Bi_(4)Ti_(3)O_(12) compound,respectively.The present study of dielectric relaxation and conduction behaviors would be helpful for further investigations of Na_(0.5)Bi_(4.5)Ti_(4)O_(15)-related Aurivillius compounds.
基金This work was supported by the National Natural Science Foundation of China(No.32070850)the National Natural Science Foundation of China(No.31630050,31890780,and 32061143006)+2 种基金the National Key Research and Developmental Program of China(2018YFC1003900,2019YFA0802600,and 2016YFC1000600)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB19000000)the Fundamental Research Funds for the Central Universities(No.YD2070002006).
文摘Multiple morphological abnormalities of the sperm flagella(MMAF)is a specific type of asthenoteratozoospermia,presenting with multiple morphological anomalies in spermatozoa,such as absent,bent,coiled,short,or irregular caliber flagella.Previous genetic studies revealed pathogenic mutations in genes encoding cilia and flagella-associated proteins(CFAPs;e.g.,CFAP43,CFAP44,CFAP65,CFAP69,CFAP70,and CFAP251)responsible for the MMAF phenotype in infertile men from different ethnic groups.However,none of them have been identified in infertile Pakistani males with MMAF.In the current study,two Pakistani families with MMAF patients were recruited.Whole-exome sequencing(WES)of patients and their parents was performed.WES analysis reflected novel biallelic loss-of-function mutations in CFAP43 in both families(Family 1:ENST00000357060.3,p.Arg300Lysfs*22 and p.Thr526Serfs*43 in a compound heterozygous state;Family 2:ENST00000357060.3,p.Thr526Serfs*43 in a homozygous state).Sanger sequencing further confirmed that these mutations were segregated recessively in the families with the MMAF phenotype.Semiquantitative reverse-transcriptase polymerase chain reaction(qRT-PCR)was carried out to detect the effect of the mutation on mRNA of the affected gene.Previous research demonstrated that biallelic loss-of-function mutations in CFAP43 accounted for the majority of all CFAP43-mutant MMAF patients.To the best of our knowledge,this is the first study to report CFAP43 biallelic loss-of-function mutations in a Pakistani population with the MMAF phenotype.This study will help researchers and clinicians to understand the genetic etiology of MMAF better.
文摘IPv6 over Low Power Wireless Personal Area Network(6LoWPAN)connects the highly constrained sensor nodes with the internet using the IPv6 protocol.6LoWPAN has improved the scalability of the Internet of Things(IoTs)infrastructure and allows mobile nodes to send packets over the IEEE 802.15.4 wireless network.Several mobility managements schemes have been suggested for handling the registration and handover procedures in 6LoWPAN.However,these schemes have performance constraints,such as increased transmission cost,signalling overhead,registration,and handover latency.To address these issues,we propose a novel cluster-based group mobility scheme(CGM6)for 6LoWPAN.To reduce the signalling cost in the CGM6 scheme,we propose to combine the functions of the Authentication,Authorization and Accounting(AAA)server and Local Mobility Anchor(LMA)in AMAG6(AAA+MAG for 6LoWPAN).AMAG6 acts as a cluster head and exchange its information directly with its neighbouring AMAG6 during the mobility.Furthermore,AMAG6 is responsible for the binding and authentication process.To reduce the transmission cost,we also propose enhancements in registration and Handover procedures.The performance of CGM6 is evaluated through extensive simulations.The simulation results show that CGM6 has reduced the handoff latency by 32%,registration delay by 11%and transmission cost by 37%compared to the state-of-the-art mobility management schemes.
文摘One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic data.Furthermore,the complicated genetic disease has a very diverse genotype,making it challenging to find genetic markers.This is a challenging process since it must be completed effectively and efficiently.This research article focuses largely on which patients are more likely to have a genetic disorder based on numerous medical parameters.Using the patient’s medical history,we used a genetic disease prediction algorithm that predicts if the patient is likely to be diagnosed with a genetic disorder.To predict and categorize the patient with a genetic disease,we utilize several deep and machine learning techniques such as Artificial neural network(ANN),K-nearest neighbors(KNN),and Support vector machine(SVM).To enhance the accuracy of predicting the genetic disease in any patient,a highly efficient approach was utilized to control how the model can be used.To predict genetic disease,deep and machine learning approaches are performed.The most productive tool model provides more precise efficiency.The simulation results demonstrate that by using the proposed model with the ANN,we achieve the highest model performance of 85.7%,84.9%,84.3%accuracy of training,testing and validation respectively.This approach will undoubtedly transform genetic disorder prediction and give a real competitive strategy to save patients’lives.
基金supported by the Fundamental Research Funds for the Central Universities(WK2070080005)。
文摘Infertility is a major health issue,affecting approximately 15%of couples of child-bearing age.Although nearly half of idiopathic infertility cases are assumed to have a genetic basis,the underlying causes remain largely unknown in most infertile men.
基金financially supported by the Beijing Natural Science Foundation(JQ19003)National Key R&D Program of China(grant no.2018YFB0104300)+4 种基金National Natural Science Foundation of China(grant no 51622202,21603009,and 21875007)Beijing Natural Science Foundation(B)(KZ201910005002)Beijing Natural Science Foundation(L182009)Project of Youth Talent Plan of Beijing Municipal Education Commission(CIT&TCD201804013)High-grade discipline construction of Beijing(PXM2019-014204-500031)。
文摘The voltage decay of lithium-rich layered oxides(LLOs)is still one of the key challenges for their application in commercial battery although these materials possess the advantages of high specific capacity and low cost.In this work,the relationship between voltage decay and tap density of LLOs has been focused.The voltage decay can be significantly suppressed with the increasing tap density as well as the homogenization of the primary or secondary particle size of agglomerated spherical LLOs.Experimental results have shown that an extreme small voltage decay of 0.98 m V cycle^(-1)can be obtained through adjusting the tap density of agglomerated spherical LLOs to 1.99 g cm^(-3),in which the size of primary and secondary particles are uniform.Our work offers a new insight towards the voltage decay and capacity fading of LLOs through precursor preparation process,promoting their application in the real battery in the future.
基金This work was supported by the National Natural Science Foundation of China(No.31871514,No.81971333,and No.82071709)the National Key Research and Development Program of China(2019YFA0802600 and 2021YFC2700202)。
文摘Multiple morphological abnormalities of the sperm flagella(MMAF)is a severe form of asthenozoospermia categorized by immotile spermatozoa with abnormal flagella in ejaculate.Whole-exome sequencing(WES)is used to detect pathogenic variants in patients with MMAF.In this study,a novel homozygous frameshift variant(c.6158_6159insT)in dynein axonemal heavy chain 8(DNAH8)from two infertile brothers with MMAF in a consanguineous Pakistani family was identified by WES.Reverse transcription-polymerase chain reaction(RT-PCR)confirmed DNAH8 mRNA decay in these patients with the DNAH8 mutation.Hematoxylin–eosin staining and transmission electron microscopy revealed highly divergent morphology and ultrastructure of sperm flagella in these patients.Furthermore,an immunofluorescence assay showed the absence of DNAH8 and a reduction in its associated protein DNAH17 in the patients'spermatozoa.Collectively,our study expands the phenotypic spectrum of patients with DNAH8-related MMAF worldwide.
基金supported by the National Natural Science Foundation of China(No.81971446).
文摘Asthenoteratozoospermia is one of the most severe types of qualitative sperm defects.Most cases are due to mutations in genes encoding the components of sperm flagella,which have an ultrastructure similar to that of motile cilia.Coiled-coil domain containing 103(CCDC103)is an outer dynein arm assembly factor,and pathogenic variants of CCDC103 cause primary ciliary dyskinesia(PCD).However,whether CCDC103 pathogenic variants cause severe asthenoteratozoospermia has yet to be determined.Whole-exome sequencing(WES)was performed for two individuals with nonsyndromic asthenoteratozoospermia in a consanguineous family.A homozygous CCDC103 variant segregating recessively with an infertility phenotype was identified(ENST00000035776.2,c.461A>C,p.His154Pro).CCDC103 p.His154Pro was previously reported as a high prevalence mutation causing PCD,though the reproductive phenotype of these PCD individuals is unknown.Transmission electron microscopy(TEM)of affected individuals’spermatozoa showed that the mid-piece was severely damaged with disorganized dynein arms,similar to the abnormal ultrastructure of respiratory ciliary of PCD individuals with the same mutation.Thus,our findings expand the phenotype spectrum of CCDC103 p.His154Pro as a novel pathogenic gene for nonsyndromic asthenospermia.
基金Researchers Supporting Project Number(RSPD2024R 553),King Saud University,Riyadh,Saudi Arabia.
文摘Wheat is a critical crop,extensively consumed worldwide,and its production enhancement is essential to meet escalating demand.The presence of diseases like stem rust,leaf rust,yellow rust,and tan spot significantly diminishes wheat yield,making the early and precise identification of these diseases vital for effective disease management.With advancements in deep learning algorithms,researchers have proposed many methods for the automated detection of disease pathogens;however,accurately detectingmultiple disease pathogens simultaneously remains a challenge.This challenge arises due to the scarcity of RGB images for multiple diseases,class imbalance in existing public datasets,and the difficulty in extracting features that discriminate between multiple classes of disease pathogens.In this research,a novel method is proposed based on Transfer Generative Adversarial Networks for augmenting existing data,thereby overcoming the problems of class imbalance and data scarcity.This study proposes a customized architecture of Vision Transformers(ViT),where the feature vector is obtained by concatenating features extracted from the custom ViT and Graph Neural Networks.This paper also proposes a Model AgnosticMeta Learning(MAML)based ensemble classifier for accurate classification.The proposedmodel,validated on public datasets for wheat disease pathogen classification,achieved a test accuracy of 99.20%and an F1-score of 97.95%.Compared with existing state-of-the-art methods,this proposed model outperforms in terms of accuracy,F1-score,and the number of disease pathogens detection.In future,more diseases can be included for detection along with some other modalities like pests and weed.
基金supported by Research Fund from University of Johannes-burg,Johannesburg City,South Africa.
文摘Breast cancer(BC)is the most widespread tumor in females worldwide and is a severe public health issue.BC is the leading reason of death affecting females between the ages of 20 to 59 around the world.Early detection and therapy can help women receive effective treatment and,as a result,decrease the rate of breast cancer disease.The cancer tumor develops when cells grow improperly and attack the healthy tissue in the human body.Tumors are classified as benign or malignant,and the absence of cancer in the breast is considered normal.Deep learning,machine learning,and transfer learning models are applied to detect and identify cancerous tissue like BC.This research assists in the identification and classification of BC.We implemented the pre-trained model AlexNet and proposed model Breast cancer identification and classification(BCIC),which are machine learning-based models,by evaluating them in the form of comparative research.We used 3 datasets,A,B,and C.We fuzzed these datasets and got 2 datasets,A2C and B3C.Dataset A2C is the fusion of A,B,and C with 2 classes categorized as benign and malignant.Dataset B3C is the fusion of datasets A,B,and C with 3 classes classified as benign,malignant,and normal.We used customized AlexNet according to our datasets and BCIC in our proposed model.We achieved an accuracy of 86.5%on Dataset B3C and 76.8%on Dataset A2C by using AlexNet,and we achieved the optimum accuracy of 94.5%on Dataset B3C and 94.9%on Dataset A2C by using proposed model BCIC at 40 epochs with 0.00008 learning rate.We proposed fuzzed dataset model using transfer learning.We fuzzed three datasets to get more accurate results and the proposed model achieved the highest prediction accuracy using fuzzed dataset transfer learning technique.
文摘Spray cooling is an effective tool to dissipate high heat fluxes from hot surfaces. This paper thoroughly investigates the effects of spray parameters on the cooling time and cooling rate under varying inlet pressure using water as the coolant. Cylindrical samples of stainless steel with constant diameter, D = 25 mm, and thickness δ: 8.5 mm, 13 mm, 17.5 mm and 22 mm were investigated. Critical droplet diameter to achieve an ultrafast cooling rate of 300°C/s was estimated by using analytical model for samples of varying thickness. At an inlet pressure of 0.8 MPa, maximum cooling rates of 424.2°C/s, 502.81°C/s and 573.1°C/s were achieved for wall super heat ΔT = 600°C, 700°C and 800°C respectively.
基金supported by the Office of Vice Chancellor for Research&Graduate Studies,University of Sharjah,under grant no. V.C.R.G./R.1325/2021
文摘The United Arab Emirates lacks conventional water resources and relies primarily on desalination plants powered by fossil fuels to produce fresh water.Nuclear desalination is a proven technology,cost-competitive,and sustainable option capable of integrating the existing largescale desalination plants to produce both freshwater and electricity.However,Small Modular Reactors(SMRs)are promising designs with advanced simplified configurations and inherent safety features.In this study,an Integrated Desalination SMR that produces thermal energy compatible with the capacity of a fossil fuel-powered desalination plant in the UAE was designed.First,the APR-1400 reactor core was used to investigate two 150 MWthconceptual SMR core designs,core A and core B,based on two-dimensional parameters,radius,and height.Then,the CASMO-4 lattice code was used to generate homogenized few-group constants for optimized fuel assembly loading patterns.Finally,to find the best core configuration,SIMULATE-3 was used to calculate the core key physics parameters such as power distribution,reactivity coefficients,and critical boron concentration.In addition,different reflector materials were investigated to compensate for the expected high leakage of the small-sized SMR cores.The pan shape core B model(142.6132 cm diameter,100 cm height,and radially reflected by Stainless Steel)was selected as the best core configuration based on its calculated physics parameters.Core B met the design and safety criteria and indicated low total neutron leakage of 11.60%and flat power distribution with 1.50 power peaking factor.Compared to core A,it has a more negative MTC value of-6.93 pcm/°F with lower CBC.In a 2-batch scheme,the fuel is discharged at 42.25 GWd/MTU burnup after a long cycle length of 1.58 years.The core B model offers the highest specific power of 36.56 kW/kgU while utilizing the smallest heavy metal mass compared with the SMART and NuScale models.
