In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the op...In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the optimality conditions of the problem,we introduce appropriate affine matrix and construct an affine scaling ARC subproblem with linearized constraints.Composite step methods and reduced Hessian methods are applied to tackle the linearized constraints.As a result,a standard unconstrained ARC subproblem is deduced and its solution can supply sufficient decrease.The fraction to the boundary rule maintains the strict feasibility(for nonnegative constraints on variables)of every iteration point.Reflection techniques are employed to prevent the iterations from approaching zero too early.Under mild assumptions,global convergence of the algorithm is analysed.Preliminary numerical results are reported.展开更多
The present study was carried out to investigate the histological and histochemical changes in the liver and skin on different developmental stages of Egyptian toad Bufo regularis to be used as a histological key for ...The present study was carried out to investigate the histological and histochemical changes in the liver and skin on different developmental stages of Egyptian toad Bufo regularis to be used as a histological key for such species. Our experiment started when tadpoles began to feed. The adapted embryos are divided into 3 large tanks of 200 embryos each, collections of samples started from feeding age every three days. Both histological and histochemical results showed that the general architecture of the different organs was correlated with the state of development, i.e. larval, met-amorphic and post-metamorphic. They, therefore, displayed different characteristic features de-pending on the investigated developmental stage starting from the larval stage (stage 44) and ending with the post-metamorphic stage 66.展开更多
Southwest Ghana is a major gold producing region. The current high gold price has attracted hundreds of unemployed youth to undertake small-scale mining (SSM). Most of these miners operate illegally even though the SS...Southwest Ghana is a major gold producing region. The current high gold price has attracted hundreds of unemployed youth to undertake small-scale mining (SSM). Most of these miners operate illegally even though the SSM law (PNDCL) 218 of 1989 and Act 703 of 2006 define the procedures required for their operation. Some miners have brought their activities to a segment of the western highway that links southwest to central Ghana with serious environmental consequences envisaged. This paper argues that the laws that regulate SSM do not consider the fundamental set-up and concerns of the small-scale miner, hence its inability to be effective. It is therefore proposed that the present requirement that a minimum of 21 hectares is necessary before land can be registered needs re-examination. Secondly, government needs to explore parcels of land and designate the workable areas to miners under a well structured scheme that will also educate these miners about safe and healthy mining methods.展开更多
The present study aimed to investigate changes in the protein contents using SDS-PAGE, also using the random amplified polymorphic DNA (RAPD-PCR) assay to identify changes in DNA concentration in the embryos of Egypti...The present study aimed to investigate changes in the protein contents using SDS-PAGE, also using the random amplified polymorphic DNA (RAPD-PCR) assay to identify changes in DNA concentration in the embryos of Egyptian toad Bufo regularis. Our experiment started when tadpoles began to feed. The adapted embryos were divided into 3 large tanks of 200 embryos each, collections of samples started from feeding age every three days. Cluster method was used to indicate the distinct distance between the band patterns of different stages. An increase occurred in the concentration of protein fractions in these tadpoles upon metamorphosis and that when metamorphosis was completed. DNA concentration exhibited an evident low values at the premetamorphic stage 44 (105.85 ± 0.519 ng/μl) compared with the other more advanced developmental stages 55 and 56 (204.056 ± 0.651 ng/μl and 234.55 ± 2.325 ng/μl respectively). In conclusion, acquire information about the changes in the molecular content of Bufo regularis during metamorphosis has been estimated.展开更多
A study of toad infestation was carried out from July to December 2022, in the vicinity of the Mfilou and Ngamboulou Rivers, with the aim of determining the prevalence rate of parasitic carriage in these toads. After ...A study of toad infestation was carried out from July to December 2022, in the vicinity of the Mfilou and Ngamboulou Rivers, with the aim of determining the prevalence rate of parasitic carriage in these toads. After collecting 289 specimens, all belonging to the Anuran order and Bufonidae family, three species were identified: Sclerophrys camerunensis (Parker, 1936), Sclerophrys regularis (Reuss, 1834) and Sclerophrys sp. The most abundant species were Sclerophrys camerunensis, followed by Sclerophrys regularis. With regard to parasitological aspects, of the 289 specimens collected, 195 were parasitized, i.e. a percentage of 67.47%. The only parasitic species identified was Ascaris sp., which is preferentially located in the intestine.展开更多
该文将压缩感知(CS)中信号的重构问题归结为求解l0-正则化问题,针对l0-正则化问题求解比较困难,提出了快速交替方向乘子法(FADMM)。该算法首先将信号的稀疏域的l0-正则化问题通过变量分裂技术转化为约束优化问题;然后引入乘子函数,采用...该文将压缩感知(CS)中信号的重构问题归结为求解l0-正则化问题,针对l0-正则化问题求解比较困难,提出了快速交替方向乘子法(FADMM)。该算法首先将信号的稀疏域的l0-正则化问题通过变量分裂技术转化为约束优化问题;然后引入乘子函数,采用一步Gauss-Seidel思想,对优化问题中的变量极小化;为了加快算法的收敛速度,对变量进行了二次更新,并更新了乘子;最后进行反正交变换,实现对原始信号的重构。将FADMM应用于含噪声图像的重构,进行了仿真实验及对实验结果进行了分析。实验结果表明:FADMM具有更高的峰值信噪比(Peak Signal to Noise Ratio,PSNR)和更快速的收敛速度。展开更多
Change point detection becomes increasingly important because it can support data analysis by providing labels to the data in an unsupervised manner.In the context of process data analytics,change points in the time s...Change point detection becomes increasingly important because it can support data analysis by providing labels to the data in an unsupervised manner.In the context of process data analytics,change points in the time series of process variables may have an important indication about the process operation.For example,in a batch process,the change points can correspond to the operations and phases defined by the batch recipe.Hence identifying change points can assist labelling the time series data.Various unsupervised algorithms have been developed for change point detection,including the optimisation approachwhich minimises a cost functionwith certain penalties to search for the change points.The Bayesian approach is another,which uses Bayesian statistics to calculate the posterior probability of a specific sample being a change point.The paper investigates how the two approaches for change point detection can be applied to process data analytics.In addition,a new type of cost function using Tikhonov regularisation is proposed for the optimisation approach to reduce irrelevant change points caused by randomness in the data.The novelty lies in using regularisation-based cost functions to handle ill-posed problems of noisy data.The results demonstrate that change point detection is useful for process data analytics because change points can produce data segments corresponding to different operating modes or varying conditions,which will be useful for other machine learning tasks.展开更多
传统的稀疏编码方法在遇到大规模数据时,因计算复杂度高而出现异常。针对这种异常导致不能很好地进行特征提取的问题,提出正则化双阶线性稀疏编码DLRSC(Double Linear Regularization Sparse Coding)方法。借助于广义多特征子空间框架...传统的稀疏编码方法在遇到大规模数据时,因计算复杂度高而出现异常。针对这种异常导致不能很好地进行特征提取的问题,提出正则化双阶线性稀疏编码DLRSC(Double Linear Regularization Sparse Coding)方法。借助于广义多特征子空间框架来学习噪声和异常像素的结构特征,通过使用L1球理论,计算出唯一的近似解,并且利用滤波技巧避免了大规模数据的复杂计算,从而降低了时间及空间复杂度。最后,在ORL及Yale两大通用人脸数据库上的实验验证了所提的DLRSC方法的有效性,实验结果表明,相比其他几种最先进的稀疏编码方法,所提方法取得了更好的识别效果。展开更多
In this paper, we present a regularized Newton method (M-RNM) with correction for minimizing a convex function whose Hessian matrices may be singular. At every iteration, not only a RNM step is computed but also two c...In this paper, we present a regularized Newton method (M-RNM) with correction for minimizing a convex function whose Hessian matrices may be singular. At every iteration, not only a RNM step is computed but also two correction steps are computed. We show that if the objective function is LC<sup>2</sup>, then the method posses globally convergent. Numerical results show that the new algorithm performs very well.展开更多
基金Supported by the National Natural Science Foundation of China(12071133)Natural Science Foundation of Henan Province(252300421993)Key Scientific Research Project of Higher Education Institutions in Henan Province(25B110005)。
文摘In this paper,an adaptive cubic regularisation algorithm based on affine scaling methods(ARCBASM)is proposed for solving nonlinear equality constrained programming with nonnegative constraints on variables.From the optimality conditions of the problem,we introduce appropriate affine matrix and construct an affine scaling ARC subproblem with linearized constraints.Composite step methods and reduced Hessian methods are applied to tackle the linearized constraints.As a result,a standard unconstrained ARC subproblem is deduced and its solution can supply sufficient decrease.The fraction to the boundary rule maintains the strict feasibility(for nonnegative constraints on variables)of every iteration point.Reflection techniques are employed to prevent the iterations from approaching zero too early.Under mild assumptions,global convergence of the algorithm is analysed.Preliminary numerical results are reported.
文摘The present study was carried out to investigate the histological and histochemical changes in the liver and skin on different developmental stages of Egyptian toad Bufo regularis to be used as a histological key for such species. Our experiment started when tadpoles began to feed. The adapted embryos are divided into 3 large tanks of 200 embryos each, collections of samples started from feeding age every three days. Both histological and histochemical results showed that the general architecture of the different organs was correlated with the state of development, i.e. larval, met-amorphic and post-metamorphic. They, therefore, displayed different characteristic features de-pending on the investigated developmental stage starting from the larval stage (stage 44) and ending with the post-metamorphic stage 66.
文摘Southwest Ghana is a major gold producing region. The current high gold price has attracted hundreds of unemployed youth to undertake small-scale mining (SSM). Most of these miners operate illegally even though the SSM law (PNDCL) 218 of 1989 and Act 703 of 2006 define the procedures required for their operation. Some miners have brought their activities to a segment of the western highway that links southwest to central Ghana with serious environmental consequences envisaged. This paper argues that the laws that regulate SSM do not consider the fundamental set-up and concerns of the small-scale miner, hence its inability to be effective. It is therefore proposed that the present requirement that a minimum of 21 hectares is necessary before land can be registered needs re-examination. Secondly, government needs to explore parcels of land and designate the workable areas to miners under a well structured scheme that will also educate these miners about safe and healthy mining methods.
文摘The present study aimed to investigate changes in the protein contents using SDS-PAGE, also using the random amplified polymorphic DNA (RAPD-PCR) assay to identify changes in DNA concentration in the embryos of Egyptian toad Bufo regularis. Our experiment started when tadpoles began to feed. The adapted embryos were divided into 3 large tanks of 200 embryos each, collections of samples started from feeding age every three days. Cluster method was used to indicate the distinct distance between the band patterns of different stages. An increase occurred in the concentration of protein fractions in these tadpoles upon metamorphosis and that when metamorphosis was completed. DNA concentration exhibited an evident low values at the premetamorphic stage 44 (105.85 ± 0.519 ng/μl) compared with the other more advanced developmental stages 55 and 56 (204.056 ± 0.651 ng/μl and 234.55 ± 2.325 ng/μl respectively). In conclusion, acquire information about the changes in the molecular content of Bufo regularis during metamorphosis has been estimated.
文摘A study of toad infestation was carried out from July to December 2022, in the vicinity of the Mfilou and Ngamboulou Rivers, with the aim of determining the prevalence rate of parasitic carriage in these toads. After collecting 289 specimens, all belonging to the Anuran order and Bufonidae family, three species were identified: Sclerophrys camerunensis (Parker, 1936), Sclerophrys regularis (Reuss, 1834) and Sclerophrys sp. The most abundant species were Sclerophrys camerunensis, followed by Sclerophrys regularis. With regard to parasitological aspects, of the 289 specimens collected, 195 were parasitized, i.e. a percentage of 67.47%. The only parasitic species identified was Ascaris sp., which is preferentially located in the intestine.
文摘该文将压缩感知(CS)中信号的重构问题归结为求解l0-正则化问题,针对l0-正则化问题求解比较困难,提出了快速交替方向乘子法(FADMM)。该算法首先将信号的稀疏域的l0-正则化问题通过变量分裂技术转化为约束优化问题;然后引入乘子函数,采用一步Gauss-Seidel思想,对优化问题中的变量极小化;为了加快算法的收敛速度,对变量进行了二次更新,并更新了乘子;最后进行反正交变换,实现对原始信号的重构。将FADMM应用于含噪声图像的重构,进行了仿真实验及对实验结果进行了分析。实验结果表明:FADMM具有更高的峰值信噪比(Peak Signal to Noise Ratio,PSNR)和更快速的收敛速度。
基金support by the Federal Ministry for Economic Affairs and Climate Action of Germany(BMWK)within the Innovation Platform“KEEN-Artificial Intelligence Incubator Laboratory in the Process Industry”(Grant No.01MK20014T)The research of L.B.is supported by the Swedish Research Council Grant VR 2018-03661。
文摘Change point detection becomes increasingly important because it can support data analysis by providing labels to the data in an unsupervised manner.In the context of process data analytics,change points in the time series of process variables may have an important indication about the process operation.For example,in a batch process,the change points can correspond to the operations and phases defined by the batch recipe.Hence identifying change points can assist labelling the time series data.Various unsupervised algorithms have been developed for change point detection,including the optimisation approachwhich minimises a cost functionwith certain penalties to search for the change points.The Bayesian approach is another,which uses Bayesian statistics to calculate the posterior probability of a specific sample being a change point.The paper investigates how the two approaches for change point detection can be applied to process data analytics.In addition,a new type of cost function using Tikhonov regularisation is proposed for the optimisation approach to reduce irrelevant change points caused by randomness in the data.The novelty lies in using regularisation-based cost functions to handle ill-posed problems of noisy data.The results demonstrate that change point detection is useful for process data analytics because change points can produce data segments corresponding to different operating modes or varying conditions,which will be useful for other machine learning tasks.
文摘传统的稀疏编码方法在遇到大规模数据时,因计算复杂度高而出现异常。针对这种异常导致不能很好地进行特征提取的问题,提出正则化双阶线性稀疏编码DLRSC(Double Linear Regularization Sparse Coding)方法。借助于广义多特征子空间框架来学习噪声和异常像素的结构特征,通过使用L1球理论,计算出唯一的近似解,并且利用滤波技巧避免了大规模数据的复杂计算,从而降低了时间及空间复杂度。最后,在ORL及Yale两大通用人脸数据库上的实验验证了所提的DLRSC方法的有效性,实验结果表明,相比其他几种最先进的稀疏编码方法,所提方法取得了更好的识别效果。
文摘In this paper, we present a regularized Newton method (M-RNM) with correction for minimizing a convex function whose Hessian matrices may be singular. At every iteration, not only a RNM step is computed but also two correction steps are computed. We show that if the objective function is LC<sup>2</sup>, then the method posses globally convergent. Numerical results show that the new algorithm performs very well.
