Cognitive profile in mild cognitive impairment with Lewy bodies by Shuai Liu, Chunyan Liu, Xiao-Dan Wang, Huiru Lu, Yong Ji

“…Conclusion: This study presents the cognitive profile of patients with MCI-LB. In line with the literature on Dementia with Lewy bodies, our results showed lower performance on tests for visuoconstructive and executive function, whereas memory remained relatively spared in the early period.…”
Get full text

Simulation and Test of a Fuel Cell Hybrid Golf Cart by Jingming Liang, Qifei Jian

“…Simulation of the objective function is composed of fuel consumption and vehicle dynamic performance; the variables are the fuel cell stack power sizes and the battery numbers. …”
Get full text

Three-Dimensional MIMO Channel Model with High-Mobility Wireless Communication Systems Using Leaky Coaxial Cable in Rectangular Tunnel by Kai Zhang, Fangqi Zhang, Guoxin Zheng, Lei Cang

“…Taking into account single-bounce scattering under line-of-sight (LoS) and non-line-of-sight (NLoS) propagations condition, the analytical expressions of the channel impulse response (CIR) and temporal correlation function (T-CF) are derived. …”
Get full text

Progress of antibody–drug conjugates in the treatment of locally advanced or metastatic urothelial carcinoma: opportunities and challenges by Fanhao Zeng, Qingjie Han, Tao Ding, Chao Tian, Maolin Jiang

“…However, approximately 50% of patients with locally advanced or metastatic urothelial carcinoma are ineligible for cisplatin-based chemotherapy due to inadequate renal function, poor performance status, or complications. …”
Get full text

Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms by Shahnawaj Shahnawaj, Saurabh Chanana, Ravinder Singh Bhatia

“…To minimize the fitness function which is based on ITAE (Integral of Time multiplied Absolute Error) criteria composed of frequency and tie-line power changes, we have obtained an optimum solution in terms of PID controller gain values using the metaheuristics optimizing techniques. …”
Get full text

A note on prognostic accuracy evaluation of regression models applied to longitudinal autocorrelated binary data by Giulia Barbati, Alessio Farcomeni, Patrizio Pasqualetti, Gianfranco Sinagra, Massimo Bovenzi

“…<p class="western" style="margin-bottom: 0cm; line-height: 200%;" lang="en-US" align="JUSTIFY"><span><span><span><strong>Background: </strong></span></span></span><span><span><span>Focus of this work was on evaluating the prognostic accuracy of two approaches for modelling binary longitudinal outcomes, a Generalized Estimating Equation (GEE) and a likelihood based method, Marginalized Transition Model (MTM), in which a transition model is combined with a marginal generalized linear model describing the average response as a function of measured predictors.…”
Get full text

Attitude Estimation for In-Service Base Station Antenna Using Downlink Channel Fading Statistics by Cen Ling, Xuefeng Yin, Yongyu He, Silvia Ruiz Boqué

“…This method calculates the likelihood function of the antenna attitude derived by taking into account the multiscale fading statistics, that is, path loss, shadowing, and multipath fading. …”
Get full text

Continuous Auditing as a Strategic Tool in Public Sector Internal Audit: The Turkish Case by Rasim Sarıkaya, Sezer Bozkuş Kahyaoğlu, Bahadır Topal

“…Internal audit in public sector is a comparatively new practice in Turkey which became operative with the Public Financial Management and Control Law (No 5018) back in 2003 in order to ensure economic, efficient, effective utilization of public resources in line with the priorities and performance indicators of public administrations. …”
Get full text

Assessing the Efficiency of Reduced Positional Games in Soccer: A Multivariate Analysis of Technical and Tactical Indicators According to Different Playing Systems by Mostafa Errama, Mustapha Bassiri, Jafaar Atifi, Said Lotfi

“…The between-subjects factor “Group” comprises two levels (experimental teams and control teams), while the within-subjects factors “Match” (three successive matches) and “Playing system” (two tactical configurations: 1-3-2-1 system and 1-2-3-1 system) make it possible to examine variations in performance indicators as a function of the playing context. …”
Get full text

Optimization of Quantitative Financial Data Analysis System Based on Deep Learning by Meiyi Liang

“…From the perspective of function test and performance test, two functions of similar stock search and financial matching model are selected and tested, and the results are in line with the expected results.…”
Get full text

Intelligent Rail Flaw Detection System Based on Deep Learning and Support Vector Machine by Jiangping LUO, Xizhuo YU, Jingwei CAO, Weihong DU

“…The effectiveness of this measure was verified through the test of manually marked samples from actual running line data. The result showed that the intelligent rail flaw recognition system had excellent performance in many technical indicators of which the flaw detection was 99.8%, the false alarm rate reduced to 12% and the accuracy of classification was over 95%.…”
Get full text

Statics Analysis of a New Type of Probe with Parallel Compliant Constraint by Li Baokun, Wang Kang, Han Yingge, Yang Hongtao, Liu Sumei, Zhou Yijun

“…Based on the basic property of the mechanism that the parallel mechanism is located in the singular configuration,a new kind of parallel compliant probe is constructed by using the method of rigid body replacement. The line geometry and the null space method of the force Jacobian matrix are used to explain the function freedom of mechanism required for the 3D probe. …”
Get full text

Techno-economic analysis of cement-based composite mortars for energy-efficient buildings by Jeanne Leclerc, Abdul Wasy Zia

“…The techno-economic analysis in this work evaluates composite mortars by incorporating aerogel, expanded clay, and expanded polystyrene aggregates, in line with European standards EN998-1. Their performance is assessed as a function of percentage sand replacement, thermal conductivity, compressive strength, density, and cost. …”
Get full text

Design of Reinforcement Learning Guidance Law for Antitorpedo Torpedoes by Zhong Wang, Zhiwen Wen, Weitong Cui, Daming Zhou, Pei Wang

“…Integrating engineering design, the intelligent guidance law for antitorpedo torpedoes proposed in this article selects the rate of change in the line-of-sight angle as the state variable, designs a reward function based on interception results, and designs a discretized behavior space based on the commonly used proportional guidance coefficient selection range. …”
Get full text

Ergodic Capacity Analysis of Decode-and-Forward Relay-Assisted FSO Systems Over Alpha–Mu Fading Channels Considering Pointing Errors by Ruben Boluda-Ruiz, Antonio Garcia-Zambrana, Beatriz Castillo-Vazquez, Carmen Castillo-Vazquez

“…The ergodic capacity of decode-and-forward (DF) relay-assisted free-space optical (FSO) communication systems when line of sight is available is analyzed over gamma&#x2013;gamma fading channels with pointing errors. …”
Get full text

Evidence for a Fast Soft X-Ray Wind in M82 from XMM-RGS by Erin Boettcher, Edmund Hodges-Kluck

“…After characterizing the complex line-spread function for the spatially extended outflow ( $\approx 4^{\prime} $ ), we perform emission-line fitting to measure the velocity dispersion, σ _v , from O viii (0.65, 0.77 keV), Ne x (1.02 keV), and Mg xii (1.47 keV). …”
Get full text

Research on Integrated Technology of High Speed Maglev Motoring Control by XU Juan, XIAO Jian, LI Jun, ZHAO Haitao

“…It is deployed in ground motoring substations, and its controlled linear motor stator are deployed along the line. In order to achieve high reliability and high real-time train operation, driving control function is bound to be integrated into motoring system. …”
Get full text

Improvement of the Voltage Profile and Loss Reduction in Distribution Network Using Moth Flame Algorithm: Wolaita Sodo, Ethiopia by S. Balakumar, Akililu Getahun, Samuel Kefale, K. Ramash Kumar

“…Voltage stability and line losses are inevitable issues even in modern power systems. …”
Get full text

Application of Particle Swarm Algorithm in Nanoscale Damage Detection and Identification of Steel Structure by Ying Zhang

“…Second, two test functions are used to compare and analyze, which shows that the improved particle swarm algorithm has better optimization performance. …”
Get full text

Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…Iterative optimization algorithms depend on access to information about the objective function. In a differentiable programming framework, this information, such as gradients, can be automatically derived from the computational graph. …”
Get full text