Spinal Excitability Changes after Transspinal and Transcortical Paired Associative Stimulation in Humans by Maria Knikou

“…TEP recruitment input-output curves revealed a generalized depression of TEPs in most ankle muscles of both legs after both PAS protocols that coincided with an increased gain only after transcortical-transspinal PAS. …”
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Analysis of Strength Factors of Steel Cord Conveyor Belt Splices Based on the FEM by Xianguo Li, Xinyu Long, Zhenqian Shen, Changyun Miao

“…On this basis, the steel cord length, steel cord diameter, rubber thickness, and different number of steel cords were investigated to study the effect on the pullout force of the steel cord conveyor belt splice. …”
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New Predictive Factors in the Development of Type 2 Diabetes Mellitus by Maurio González Hernández

“…The variables explained 74.9 % of the output variable. The variables used in the series were statistically significant. …”
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Optimization of an On-Grid Inverter for PV Applications Using Genetic Algorithms by Anis Ammous, Abdulrahman Alahdal, Kaiçar Ammous

“…The hysteresis current control that guarantees a quasi-sinusoidal output current is applied to generate the inverter control signals. …”
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Design Analysis and Optimization of a Planar Compliant Micro-positioning Stage by Gui Heli, Xu Weisheng, Xu Tianqi, Cao Yi

“…Theoretical research and simulation verification show that the platform has high static and dynamic performance, its input and output are fully decoupled, and the loss of motion does not exceed 1.8% under 0.3 mm input displacement; the first order natural frequency is 320.34 Hz, and the dynamic response is consistent with the simulation trend within 0.1 s. …”
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Assessing the influence of bibliometric factors and organizational characteristics on the centrality degree of inter-university collaborative networks: a neural network approach by Juan David Reyes-Gómez, Efrén Romero-Riaño

“…This suggests that policies to increase the research output and impact of a university are likely to result in a more central position in the network.…”
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Blockchain network layer anomaly traffic detection method based on multiple classifier integration by Qianyi DAI, Bin ZHANG, Song GUO, Kaiyong XU

“…To improve the comprehensive generalized feature perception ability of mixed attack traffic on the blockchain network layer, and enhance the performance of abnormal traffic detection, a blockchain layer traffic anomaly detection method was proposed that supported the comprehensive judgement of data anomaly with a strong generalisation capability.Firstly, to expand the difference of the input feature subset of the base classifier used, a feature subset selection algorithm based on discrimination degree and redundant information was proposed, and the output of high sensitivity subset terms was stimulated during the feature screening process, while the generation of redundant information was suppressed.Then, the stochastic variance reduction gradient algorithm was introduced into the bagging integration algorithm to realize the dynamic adjustment of the voting weights of each base modeland improve thecapability in detecting the generalised hybrid abnormal attack traffic.Finally, LBoF algorithm was proposed to map the low-dimensional numerical vector output by the integrated algorithm to a high-dimensional space.The discrepancy of data point spatial density distribution of various samples were amplified based on the potential difference between data points to increase the recall rate of anomalous data point detection.The experimental results show that in detecting multiple hybrid attack traffic on blockchain layers, the proposed method presents an increase in the anomaly detection accuracy and recall rate, which is 1.57% and 2.71%, respectively, compared with methods based on a single classifier integration.…”
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HOC Based Blind Identification of Hydroturbine Shaft Volterra System by Bing Bai, Lixiang Zhang

“….), zero-mean and non-Gaussian stationary signal, and the observed signals are the superposition of the system output signal and Gaussian noise. To calculate the third-order moment of the output signal, a computer loop judgment method is put forward to determine the coefficient. …”
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A 28-GHz CMOS-65 nm Dual Mode Class-J Doherty Power Amplifier With Integrated Class-G Driver and Impedance-Modulated- Quadrature-Transformer Achieving 21% Back-Off Efficiency by Selvakumar Mariappan, Jagadheswaran Rajendran, Norhamizah Idros, Sofiyah Sal Hamid, Asrulnizam Bin Abd Manaf, Narendra Kumar, Abdullah Alghaihab, Arokia Nathan, Binboga Siddik Yarman

“…Under low-power mode (VDD/2) with a Class-G driver operation, the average output power is 11.3 dBm with a 1.3-fold efficiency improvement.…”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…MethodsArtificial Intelligence models have an enormous capacity to get a broad range of any kind of data and process and concurrently compile them to build a valid output. This characteristic of AI is very useful in financial models to increase the accuracy of output. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…An improvement in 2D output fields instead of QoIs is barely possible with the considered parameters, which confirms meaningful default values of the model parameters for the region. …”
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Multi-Timescale Battery-Charging Optimization for Electric Heavy-Duty Truck Battery-Swapping Stations, Considering Source–Load–Storage Uncertainty by Peijun Shi, Guojian Ni, Rifeng Jin, Haibo Wang, Jinsong Wang, Zhongwei Sun, Guizhi Qiu

“…With the widespread adoption of renewable energy sources like wind power and photovoltaic (PV) power, uncertainties in the renewable energy output and the battery-swapping demand for electric heavy-duty trucks make it challenging for battery-swapping stations to optimize battery-charging management centrally. …”
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Analysis of High Step-Up Quasi-<italic>Z</italic>-Source-Based Converter With Low Input Current Ripple by Ataollah Samadian, Milad Ghavipanjeh Marangalu, Iman Talebian, Navid Hadifar, Seyed Hossein Hosseini, Mehran Sabahi, Hani Vahedi

“…Compared with the conventional <italic>Z</italic>-source-based converters, this converter not only can achieve high voltage gain but also has good efficiency at high output voltage and higher output power conditions. …”
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Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstracts by David M. Schmidt, Philipp Cimiano

“…BackgroundIn the field of structured information extraction, there are typically semantic and syntactic constraints on the output of information extraction (IE) systems. These constraints, however, can typically not be guaranteed using standard (fine-tuned) encoder-decoder architectures. …”
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Development of maximum power point tracking algorithm based on Improved Optimized Adaptive Differential Conductance Technique for renewable energy generation by Val Hyginus Udoka Eze, Martin Chinweokwu Eze, Samuel A. Ugwu, Valentine S. Enyi, Wisdom O. Okafor, Chibuzo C. Ogbonna, Ogbonna U. Oparaku

“…It was also noted that an increase in temperature raises the module saturation current, which in turn reduces the power output, and vice versa which also agrees with the PV application. …”
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How Earth System Models Can Inform Key Dimensions of Marine Food Security in the Alaskan Arctic by Georgina A. Gibson, Hajo Eicken, Henry P. Huntington, Clara J. Deal, Olivia Lee, Katherine M. Smith, Nicole Jeffery, Josephine-Mary Sam

“…We explored the potential of Earth System Model output in helping anticipate or project physical or ecosystem changes relevant to Alaska Indigenous peoples’ food security needs. …”
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Optimization of energy management in Malaysian microgrids using fuzzy logic-based EMS scheduling controller by Mohammad Nur-E-Alam, Tarek Abedin, Nur Aini Samsudin, Jana Petrů, Abdulwasa Bakr Barnawi, Manzoore Elahi M. Soudagar, T. M. Yunus Khan, Muhammad Nasir Bashir, Mohammad Aminul Islam, Boon Kar Yap, Tiong Sieh Kiong

“…A Maximum Power Point Tracking (MPPT) controller helps to extract the maximum PV output and manages the power storage by providing or absorbing excess power. …”
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Effects of Job Stress on Teachers Productivity in Primary Schools of Katuna Town Council in Kabale District. by Faida, Elias

“…The study recommended that school administrators to stressors aware to teachers and support them gain skills in stress management to enhance their duty input and output.…”
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Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter by S. N. Naikwad, S. V. Dudul

“…As CSTR process includes temporal relationship in the input-output mappings, time lagged recurrent neural network is particularly used for identification purpose. …”
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Does the Usage of Drains Create a Risk of Surgical Site Infection During Breast Surgery? by Asuman Guzelant, Tuğba Gün Koplay

“…The mean follow-up duration was 7.16 days, and the mean output volume was 224.66 cc. The drain tip cultures of all the patients were negative. …”
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