Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty requirements.Researchers are exploring machine learn...Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty requirements.Researchers are exploring machine learning to predict software bugs,but a more precise and general approach is needed.Accurate bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning methods.However,these studies are not generalized and efficient when extended to other datasets.Therefore,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification problems.The methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a model.Four National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were combined.It reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.展开更多
Objective: To test the effectiveness of conidial spore formulations [Aspergillus tubingensis(A.tubingensis) and Trichoderma harzianum(T.harzianum)] against tropical bed bugs, Cimex hemipterus.Methods: Spore formulatio...Objective: To test the effectiveness of conidial spore formulations [Aspergillus tubingensis(A.tubingensis) and Trichoderma harzianum(T.harzianum)] against tropical bed bugs, Cimex hemipterus.Methods: Spore formulations were made from two fungal strains, T.harzianum and A.tubingensis.The bed bugs were exposed to the conidial spores placed soaked onto a fabric cloth for 1 h and the mortality counts were recorded daily until 14 days.Results: Mean survival times based on Kaplan–Meier survival analysis showed no significant differences between all the concentrations in both the fungal isolates:T.harzianum and A.tubingensis.However, the evaluation of both the isolates in terms of virulence resulted in low lethal hours in all the concentrations except for the high concentration of A.tubingensis(LT_(50)= 44.629 h) at the conidial exposure of 1 × 10~6 spores/mL.Rapid mortality of the bed bugs was observed from Day 6 to Day 12, ranging from 13% to 90% in all three concentrations of A.tubingensis.With reference to the T.harzianum exposure, the concentration of 1 × 10~4 spores/mL displayed a gradual increase in the percentage mortality of 90 on Day 14.Conclusions: Approaches to the bed bugs treatment should be explored in-depth using a natural biological agent like fungus especially A.tubingensis to reduce this pest population, in order to replace chemical methods.展开更多
Pod-sucking bugs (PSBs) infestation by Ano-plocnemissp./ Riptortussp./Clavigrallasp./Nezaraviridula( Linnaeus) greatly limits cowpea (Vignaunguiculata (L.) Walp) production throughout sub-Saharan Africa. The efficacy ...Pod-sucking bugs (PSBs) infestation by Ano-plocnemissp./ Riptortussp./Clavigrallasp./Nezaraviridula( Linnaeus) greatly limits cowpea (Vignaunguiculata (L.) Walp) production throughout sub-Saharan Africa. The efficacy of aqueous leaf extracts (ALEs) (5 percent weight/volume concentration) of three botanicals and one synthetic insecticide against PSBs infestation was thus evaluated. The botanicals tested include Aza- dirachtaindicaA. Juss, Chromolaenaodorata (L.) and Ricinuscommunis (L.), whilst the synthetic insecticide was Uppercot 500 EC ( Lambda cyhalothrin 30 g + Dimethoate 250 g ). The effects of these treatments on the number of PSBs/ pods/seeds, pod/seed weight and grain yield were assessed during 2008 and 2009 rainy seasons in Bayo, Borno State, Guinea Savanna region, Nigeria. The number of PSBs was lower on crops treated with Uppercot 500 EC (0.00 - 0.31). This was followed by crops treated with the ALEs ofA.indica/C.odorata (0.31 - 1.33) and R.communis (0.72 - 3.72) than the untreated (3.06 - 5.64) ones.The number of pods/pod weight per plant, seeds/seed weight per pod and total grain yield were generally higher on cowpea crops treated with Uppercot 500 EC (26/17 g, 14/19 g and 1618 kg). This was followed bycrops treated with the ALEs of A.indica/C.odorata (23 - 25/14 - 15 g, 12 - 13/15 g and 1268 - 1310 kg) and R.communis( 21/13 g, 11/14 g and 972 kg) than the untreated (16/9 g, 7/10 g and 312 kg) ones. Although Uppercot 500 EC was most effective inprotecting cowpea against PSBs attack, theALEs of A.indica and C.odorata appreciably protected treated crops against infestation, giving relatively high total grain yield. Both botanical scan thus serve as alternatives to synthetic insecticides for managing PSBs attack on cowpea.展开更多
With the increased cultivation of Bt crops in China,Apolygus lucorum and other mirid bugs have emerged as important agricultural pests because they are insensitive to the Bt proteins.In addition,the reduction of pesti...With the increased cultivation of Bt crops in China,Apolygus lucorum and other mirid bugs have emerged as important agricultural pests because they are insensitive to the Bt proteins.In addition,the reduction of pesticide applications after planting Bt crops also increases the severity of mirid bug outbreaks.Peristenus spretus is a parasitoid of mirid nymphs,but its sensitivity to Bt proteins is not known.In the current study,we developed a dietary exposure assay to assess the effects of Bt proteins(Cry1Ab,Cry1Ac,Cry1F,Cry2Aa,and Cry2Ab)on P.spretus adults using a diet consisting of a 10% honey solution with or without Bt proteins at 400μg g^(-1) diet.The results showed that the survival and reproduction of P.spretus adults were reduced by the cysteine protease inhibitor E-64(a positive control)but were not affected by any of the five Bt proteins.The activities of digestive,detoxifying,and antioxidant enzymes in P.spretus were also unaffected by diets containing the Cry proteins,but they were significantly affected by the diet containing E-64.We then developed a tritrophic bioassay to determine the effects of the five Bt proteins on P.spretus larvae and pupae.In this assay,A.lucorum nymphs fed an artificial diet containing Cry proteins were used as the hosts for P.spretus.The results of the tri-trophic assay indicated that neither the pupation rate nor the eclosion rate of the P.spretus parasitoids were significantly affected by the presence of high concentrations of Bt proteins in the parasitized A.lucorum nymphs.The overall results indicate that these two assays can be used to evaluate the toxicity of insecticidal compounds to P.spretus and that the tested Cry proteins are not toxic to P.spretus.展开更多
In January of 2010 we will launch Bioengineered Bugs,the first international peerreviewed journal of its kind to focus on genetic engineering which involves the generation of recombinant strains(from higher plants and...In January of 2010 we will launch Bioengineered Bugs,the first international peerreviewed journal of its kind to focus on genetic engineering which involves the generation of recombinant strains(from higher plants and animals to bacteria,fungi and viruses)and their metabolic products for beneficial applications in food,medicine,industry,environment and bio-defense.Bioengineered Bugs boasts an impressive international Editorial Board,including展开更多
Bathycoelia natalicola (Distant) is the dominant stink bug on macadamias in South Africa. This insect occurred throughout the year but was particularly numerous during summer months when developing macadamia nuts were...Bathycoelia natalicola (Distant) is the dominant stink bug on macadamias in South Africa. This insect occurred throughout the year but was particularly numerous during summer months when developing macadamia nuts were available on the trees. The presence of nymphs and adults throughout the winter as well as the absence of seasonal polyphenism indicates that true diapause may not occur in areas with mild subtropical climates. After harvest, during winter when no nuts were available, the winter stink bug complex consisting of Nezara pallidocons-persa Stal, Nezara prunasis Dallas and Atelocera raptoria Germarbecame was more numerous. The Nezara species do not breed in macadamias indicating that macadamia is possibly not a preferred host plant. Few individuals of the polyphagous pest, Pseudotheraptus wayi brown were recovered with the branch shaking technique suggesting that this technique is possibly not suitable to monitor for this insect. Considerable P. wayi damage levels were however, detected by dissecting prematurely aborted nuts.展开更多
Antimicrobial resistance,which has been reported against almost every antibiotic discovered,is one of the most urgent public health problems,threatening to undermine the effectiveness of infectious disease treatment w...Antimicrobial resistance,which has been reported against almost every antibiotic discovered,is one of the most urgent public health problems,threatening to undermine the effectiveness of infectious disease treatment worldwide.Since penicillin ushered in the antibiotic era in the mid 20th century,the scientific world had engaged in a war between the development of antibacterial agents and bacterial resistance.During the first decade of the 21st century,grave concern has been expressed over the evolution of multi-drug resistant staphylococci,enterococci,and mycobacteria,which pose serious clinical and public health challenge to humans.The present picture is frighteningly similar to the pre-antibiotic era,with reports of nosocomial spread and intercontinental dissemination of multi-drug resistant bacteria.For infected patients,there is no magic bullet.The microbial pathogens appear to be gaining the upper hand,coupled with a recent dramatic reduction in antibiotic research by pharmaceutical companies because of the high cost of drug research.Several compounds that have recently been developed or resurrected to treat gram-positive infections are still unable to meet the armamentarium of resistance mechanisms of these pathogens.The situation is worse for gramnegative organisms,where no new drug is currently being developed against them.A multi-disciplinary approach to combat resistance is required,which must be applied,sustained,and continuously refined.The key components for maintaining effective antimicrobial chemotherapy will include better use of existing agents,coupled with continuous investment in new and innovative technologies,which must include diagnostics and vaccines in addition to new antimicrobial agents.展开更多
The software engineering technique makes it possible to create high-quality software.One of the most significant qualities of good software is that it is devoid of bugs.One of the most time-consuming and costly softwar...The software engineering technique makes it possible to create high-quality software.One of the most significant qualities of good software is that it is devoid of bugs.One of the most time-consuming and costly software proce-dures isfinding andfixing bugs.Although it is impossible to eradicate all bugs,it is feasible to reduce the number of bugs and their negative effects.To broaden the scope of bug prediction techniques and increase software quality,numerous causes of software problems must be identified,and successful bug prediction models must be implemented.This study employs a hybrid of Faster Convolution Neural Network and the Moth Flame Optimization(MFO)algorithm to forecast the number of bugs in software based on the program data itself,such as the line quantity in codes,methods characteristics,and other essential software aspects.Here,the MFO method is used to train the neural network to identify optimal weights.The proposed MFO-FCNN technique is compared with existing methods such as AdaBoost(AB),Random Forest(RF),K-Nearest Neighbour(KNN),K-Means Clustering(KMC),Support Vector Machine(SVM)and Bagging Clas-sifier(BC)are examples of machine learning(ML)techniques.The assessment method revealed that machine learning techniques may be employed successfully and through a high level of accuracy.The obtained data revealed that the proposed strategy outperforms the traditional approach.展开更多
Tobacco leaf shapes including the length,width,area,perimeter and roundness parameters and so on,Only obtain exact boundaries of the leaf information to calculate a large number of leaf parameters.This paper introduce...Tobacco leaf shapes including the length,width,area,perimeter and roundness parameters and so on,Only obtain exact boundaries of the leaf information to calculate a large number of leaf parameters.This paper introduces the classical edge detection Methods,bug method is used to track the boundaries of tobacco leaf extractly.The test shows that the algorithm has a good edge extraction capability.展开更多
基金This Research is funded by Researchers Supporting Project Number(RSPD2024R947),King Saud University,Riyadh,Saudi Arabia.
文摘Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty requirements.Researchers are exploring machine learning to predict software bugs,but a more precise and general approach is needed.Accurate bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning methods.However,these studies are not generalized and efficient when extended to other datasets.Therefore,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification problems.The methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a model.Four National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were combined.It reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.
基金Supported by Universiti Sains Malaysia(Grant No.304/PBIOLOGI/6313030)
文摘Objective: To test the effectiveness of conidial spore formulations [Aspergillus tubingensis(A.tubingensis) and Trichoderma harzianum(T.harzianum)] against tropical bed bugs, Cimex hemipterus.Methods: Spore formulations were made from two fungal strains, T.harzianum and A.tubingensis.The bed bugs were exposed to the conidial spores placed soaked onto a fabric cloth for 1 h and the mortality counts were recorded daily until 14 days.Results: Mean survival times based on Kaplan–Meier survival analysis showed no significant differences between all the concentrations in both the fungal isolates:T.harzianum and A.tubingensis.However, the evaluation of both the isolates in terms of virulence resulted in low lethal hours in all the concentrations except for the high concentration of A.tubingensis(LT_(50)= 44.629 h) at the conidial exposure of 1 × 10~6 spores/mL.Rapid mortality of the bed bugs was observed from Day 6 to Day 12, ranging from 13% to 90% in all three concentrations of A.tubingensis.With reference to the T.harzianum exposure, the concentration of 1 × 10~4 spores/mL displayed a gradual increase in the percentage mortality of 90 on Day 14.Conclusions: Approaches to the bed bugs treatment should be explored in-depth using a natural biological agent like fungus especially A.tubingensis to reduce this pest population, in order to replace chemical methods.
文摘Pod-sucking bugs (PSBs) infestation by Ano-plocnemissp./ Riptortussp./Clavigrallasp./Nezaraviridula( Linnaeus) greatly limits cowpea (Vignaunguiculata (L.) Walp) production throughout sub-Saharan Africa. The efficacy of aqueous leaf extracts (ALEs) (5 percent weight/volume concentration) of three botanicals and one synthetic insecticide against PSBs infestation was thus evaluated. The botanicals tested include Aza- dirachtaindicaA. Juss, Chromolaenaodorata (L.) and Ricinuscommunis (L.), whilst the synthetic insecticide was Uppercot 500 EC ( Lambda cyhalothrin 30 g + Dimethoate 250 g ). The effects of these treatments on the number of PSBs/ pods/seeds, pod/seed weight and grain yield were assessed during 2008 and 2009 rainy seasons in Bayo, Borno State, Guinea Savanna region, Nigeria. The number of PSBs was lower on crops treated with Uppercot 500 EC (0.00 - 0.31). This was followed by crops treated with the ALEs ofA.indica/C.odorata (0.31 - 1.33) and R.communis (0.72 - 3.72) than the untreated (3.06 - 5.64) ones.The number of pods/pod weight per plant, seeds/seed weight per pod and total grain yield were generally higher on cowpea crops treated with Uppercot 500 EC (26/17 g, 14/19 g and 1618 kg). This was followed bycrops treated with the ALEs of A.indica/C.odorata (23 - 25/14 - 15 g, 12 - 13/15 g and 1268 - 1310 kg) and R.communis( 21/13 g, 11/14 g and 972 kg) than the untreated (16/9 g, 7/10 g and 312 kg) ones. Although Uppercot 500 EC was most effective inprotecting cowpea against PSBs attack, theALEs of A.indica and C.odorata appreciably protected treated crops against infestation, giving relatively high total grain yield. Both botanical scan thus serve as alternatives to synthetic insecticides for managing PSBs attack on cowpea.
基金supported by the Key Project for Breeding Genetically Modified Organisms,China(2016ZX08011-002)China’s Donation to the CABI Development Fund。
文摘With the increased cultivation of Bt crops in China,Apolygus lucorum and other mirid bugs have emerged as important agricultural pests because they are insensitive to the Bt proteins.In addition,the reduction of pesticide applications after planting Bt crops also increases the severity of mirid bug outbreaks.Peristenus spretus is a parasitoid of mirid nymphs,but its sensitivity to Bt proteins is not known.In the current study,we developed a dietary exposure assay to assess the effects of Bt proteins(Cry1Ab,Cry1Ac,Cry1F,Cry2Aa,and Cry2Ab)on P.spretus adults using a diet consisting of a 10% honey solution with or without Bt proteins at 400μg g^(-1) diet.The results showed that the survival and reproduction of P.spretus adults were reduced by the cysteine protease inhibitor E-64(a positive control)but were not affected by any of the five Bt proteins.The activities of digestive,detoxifying,and antioxidant enzymes in P.spretus were also unaffected by diets containing the Cry proteins,but they were significantly affected by the diet containing E-64.We then developed a tritrophic bioassay to determine the effects of the five Bt proteins on P.spretus larvae and pupae.In this assay,A.lucorum nymphs fed an artificial diet containing Cry proteins were used as the hosts for P.spretus.The results of the tri-trophic assay indicated that neither the pupation rate nor the eclosion rate of the P.spretus parasitoids were significantly affected by the presence of high concentrations of Bt proteins in the parasitized A.lucorum nymphs.The overall results indicate that these two assays can be used to evaluate the toxicity of insecticidal compounds to P.spretus and that the tested Cry proteins are not toxic to P.spretus.
文摘In January of 2010 we will launch Bioengineered Bugs,the first international peerreviewed journal of its kind to focus on genetic engineering which involves the generation of recombinant strains(from higher plants and animals to bacteria,fungi and viruses)and their metabolic products for beneficial applications in food,medicine,industry,environment and bio-defense.Bioengineered Bugs boasts an impressive international Editorial Board,including
文摘Bathycoelia natalicola (Distant) is the dominant stink bug on macadamias in South Africa. This insect occurred throughout the year but was particularly numerous during summer months when developing macadamia nuts were available on the trees. The presence of nymphs and adults throughout the winter as well as the absence of seasonal polyphenism indicates that true diapause may not occur in areas with mild subtropical climates. After harvest, during winter when no nuts were available, the winter stink bug complex consisting of Nezara pallidocons-persa Stal, Nezara prunasis Dallas and Atelocera raptoria Germarbecame was more numerous. The Nezara species do not breed in macadamias indicating that macadamia is possibly not a preferred host plant. Few individuals of the polyphagous pest, Pseudotheraptus wayi brown were recovered with the branch shaking technique suggesting that this technique is possibly not suitable to monitor for this insect. Considerable P. wayi damage levels were however, detected by dissecting prematurely aborted nuts.
文摘Antimicrobial resistance,which has been reported against almost every antibiotic discovered,is one of the most urgent public health problems,threatening to undermine the effectiveness of infectious disease treatment worldwide.Since penicillin ushered in the antibiotic era in the mid 20th century,the scientific world had engaged in a war between the development of antibacterial agents and bacterial resistance.During the first decade of the 21st century,grave concern has been expressed over the evolution of multi-drug resistant staphylococci,enterococci,and mycobacteria,which pose serious clinical and public health challenge to humans.The present picture is frighteningly similar to the pre-antibiotic era,with reports of nosocomial spread and intercontinental dissemination of multi-drug resistant bacteria.For infected patients,there is no magic bullet.The microbial pathogens appear to be gaining the upper hand,coupled with a recent dramatic reduction in antibiotic research by pharmaceutical companies because of the high cost of drug research.Several compounds that have recently been developed or resurrected to treat gram-positive infections are still unable to meet the armamentarium of resistance mechanisms of these pathogens.The situation is worse for gramnegative organisms,where no new drug is currently being developed against them.A multi-disciplinary approach to combat resistance is required,which must be applied,sustained,and continuously refined.The key components for maintaining effective antimicrobial chemotherapy will include better use of existing agents,coupled with continuous investment in new and innovative technologies,which must include diagnostics and vaccines in addition to new antimicrobial agents.
文摘The software engineering technique makes it possible to create high-quality software.One of the most significant qualities of good software is that it is devoid of bugs.One of the most time-consuming and costly software proce-dures isfinding andfixing bugs.Although it is impossible to eradicate all bugs,it is feasible to reduce the number of bugs and their negative effects.To broaden the scope of bug prediction techniques and increase software quality,numerous causes of software problems must be identified,and successful bug prediction models must be implemented.This study employs a hybrid of Faster Convolution Neural Network and the Moth Flame Optimization(MFO)algorithm to forecast the number of bugs in software based on the program data itself,such as the line quantity in codes,methods characteristics,and other essential software aspects.Here,the MFO method is used to train the neural network to identify optimal weights.The proposed MFO-FCNN technique is compared with existing methods such as AdaBoost(AB),Random Forest(RF),K-Nearest Neighbour(KNN),K-Means Clustering(KMC),Support Vector Machine(SVM)and Bagging Clas-sifier(BC)are examples of machine learning(ML)techniques.The assessment method revealed that machine learning techniques may be employed successfully and through a high level of accuracy.The obtained data revealed that the proposed strategy outperforms the traditional approach.
基金Supported by Key Technologies R & D Program of Henan Province(082102210065)Natural Science Research Project of Henan Educational Committee(2007210005)~~
文摘Tobacco leaf shapes including the length,width,area,perimeter and roundness parameters and so on,Only obtain exact boundaries of the leaf information to calculate a large number of leaf parameters.This paper introduces the classical edge detection Methods,bug method is used to track the boundaries of tobacco leaf extractly.The test shows that the algorithm has a good edge extraction capability.
