Reassessing the Empirical Relationship between Health Expenditure,Governance and Economic Growth in Africa:Analysis of Nigerian

As an aspect of human capital,a positive association exists amongst health,productivity,and growth in output per capita.On the other hand,social infrastructure defined by the institution of governance has a direct effect on the environment upon which productive activities take place to determine outcomes.Nigeria like most African countries is bedevilled by the high prevalence of inadequate health financing and poor governance.Health financing for Nigeria consistently has fallen short of the AU health funding commitment of 15%of annual budgetary allocation to the health sector.Secondly,poor governance conditions available resources and shape the state of infrastructure,particularly health infrastructure and socioeconomic conditions.In turn,this determines individuals’level of exposure to health risks and their capacity to actively contribute to productive activity for growth stimulation and sustainability.Against this backdrop,this study added to the existing literature in the context of Nigeria,by theoretically applying the Solow augmented Mankiw-Romer-Weil structural model in the examination of the impact of government size and governance quality in the health sector,on economic growth.Autoregressive Distributed Lag(ARDL)model was adopted in the estimation.Findings show that governance quality adversely affects growth and this reduces the capacity of health spending to stimulate growth by an almost equal margin.As a result,this study recommends legislative backing to the AU health funding commitment in Nigeria.

Low-loss belief propagation decoder with Tanner graph in quantum error-correction codes

Quantum error-correction codes are immeasurable resources for quantum computing and quantum communication.However,the existing decoders are generally incapable of checking node duplication of belief propagation(BP)on quantum low-density parity check(QLDPC)codes.Based on the probability theory in the machine learning,mathematical statistics and topological structure,a GF(4)(the Galois field is abbreviated as GF)augmented model BP decoder with Tanner graph is designed.The problem of repeated check nodes can be solved by this decoder.In simulation,when the random perturbation strength p=0.0115-0.0116 and number of attempts N=60-70,the highest decoding efficiency of the augmented model BP decoder is obtained,and the low-loss frame error rate(FER)decreases to 7.1975×10^(-5).Hence,we design a novel augmented model decoder to compare the relationship between GF(2)and GF(4)for quantum code[[450,200]]on the depolarization channel.It can be verified that the proposed decoder provides the widely application range,and the decoding performance is better in QLDPC codes.

An augmented and interactive exhibition of an archived model for Frederick Kiesler's Endless House, 1959

This research explores the potential of an immersive and interactive online archive to enhance our understanding of historic architecture through the study of models.It reports on implementing an augmented reality mobile application that exhibits a model for the unbuilt Endless House,1959,by Frederick Kiesler.A reflective critique,from the researcher’s point of view,and initial feedback from a small sample of architecture students,provides an insight into users’experience of the exhibition,its value as a research tool,and as an educational resource.Building on existing technologies and established research methods,we present an alternative way of exhibiting a large-scaled model for public engagement and research collaboration between academics,archivists,and conservators.Results discuss the development of the mobile application with interactive features specifically designed for an architectural audience.It touches on issues associated with documenting,interpreting,and exhibiting architectural models,emphasizing accessibility,accuracy,engagement,combining 3D and 2D digital assets,and user experience.It was found that the interactive and immersive features of the exhibition enhanced the researchers’scope to spatially inspect the model,visually experience it,collaborate with others,and strengthen connections between the model and other examples of Kiesler’s textual and visual archival materials.

Robust adaptive control of hypersonic vehicle considering inlet unstart

In this paper,a model reference adaptive control(MRAC)augmentation method of a linear controller is proposed for air-breathing hypersonic vehicle(AHV)during inlet unstart.With the development of hypersonic flight technology,hypersonic vehicles have been gradually moving to the stage of weaponization.During the maneuvers,changes of attitude,Mach number and the back pressure can cause the inlet unstart phenomenon of scramjet.Inlet unstart causes significant changes in the aerodynamics of AHV,which may lead to deterioration of the tracking performance or instability of the control system.Therefore,we firstly establish the model of hypersonic vehicle considering inlet unstart,in which the changes of aerodynamics caused by inlet unstart is described as nonlinear uncertainty.Then,an MRAC augmentation method of a linear controller is proposed and the radial basis function(RBF)neural network is used to schedule the adaptive parameters of MRAC.Furthermore,the Lyapunov function is constructed to prove the stability of the proposed method.Finally,numerical simulations show that compared with the linear control method,the proposed method can stabilize the attitude of the hypersonic vehicle more quickly after the inlet unstart,which provides favorable conditions for inlet restart,thus verifying the effectiveness of the augmentation method proposed in the paper.

Systematic error real-time registration based onmodified input estimation

In order to estimate the systematic error in the processof maneuvering target adaptive tracking, a new method is proposed.The proposed method is a linear tracking scheme basedon a modified input estimation approach. A special augmentationin the state space model is considered, in which both the systematicerror and the unknown input vector are attached to thestate vector. Then, an augmented state model and a measurementmodel are established in the case of systematic error, andthe corresponding filter formulas are also given. In the proposedscheme, the original state, the acceleration and the systematicerror vector can be estimated simultaneously. This method can notonly solve the maneuvering target adaptive tracking problem in thecase of systematic error, but also give the system error value inreal time. Simulation results show that the proposed tracking algorithmoperates in both the non-maneuvering and the maneuveringmodes, and the original state, the acceleration and the systematicerror vector can be estimated simultaneously.