Surrogate-guided optimization in quantum networks by Luise Prielinger, Álvaro G. Iñesta, Gayane Vardoyan

“…We introduce a more efficient computational framework that employs machine learning models as surrogates for the objective function. …”
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AI applications that improve the academic performance of students living in areas of social exclusion for the prevention of school dropout. by Fatima Zahra Rakdani Arif Billah, Jennifer Serrano - García

“…AI applications that improve the academic performance of students residing in socially excluded areas for the prevention of school dropoutThe inclusion of AI in educational institutions is altering the way in which students, teachers and educational centers function. The general objective of the present study was to investigate the use of AI applications that improve the academic performance of students living in socially excluded areas for the prevention of school dropout. …”
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Modulatory Effects of <i>Urtica dioica</i> on Neurodegenerative Diseases: Unveiling the Latest Findings and Applications Related to Neuroinflammation, Oxidative Stress, and Cogniti... by Ahlem Chira, Stefano Lorenzetti

“…Notably, some phytochemicals are known to modulate crucial pathways for neuronal plasticity, learning, and memory, thereby enhancing cognitive functions. …”
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Emerging Synaptic Molecules as Candidates in the Etiology of Neurological Disorders by Viviana I. Torres, Daniela Vallejo, Nibaldo C. Inestrosa

“…Studies conducted in vertebrate and invertebrate models have contributed to the knowledge of the function of synaptic proteins. The functional synapse requires numerous protein complexes with specialized functions that are regulated in space and time to allow synaptic plasticity. …”
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Influence of Healthy Physical Fitness on the Teaching of Aerobics Course Based on Big Data Mining Technology by Laipeng Xiao

“…The experimental results show that the use of healthy physical fitness in aerobics teaching can effectively promote the learning and improvement of aerobics skills.…”
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The role of communication in educational relations by Karolina Czerwiec, Magdalena Leżucha

“…Communication takes on a special importance in educational relationships, moreover, it is crucial in the teaching and learning process. Without effective communication, educational goals will not be achieved. …”
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App-DDoS detection method using partial binary tree based SVM algorithm by Bin ZHANG, Zihao LIU, Shuqin DONG, Lixun LI

“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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Enhanced memory despite severe sleep loss in Drosophila insomniac mutants. by Sheng Huang, Chengji Piao, Zhiying Zhao, Christine B Beuschel, Oriane Turrel, David Toppe, Stephan J Sigrist

“…Sleep is crucial for cognitive functions and life span across species. While sleep homeostasis and cognitive processes are linked through cellular and synaptic plasticity, the signaling pathways connecting them remain unclear. …”
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Stability of Weak Rescaled Pure Greedy Algorithms by Wan Li, Man Lu, Peixin Ye, Wenhui Zhang

“…We obtain the convergence rates of WRPGA(co) with noise and errors under a weaker assumption for the modulus of smoothness of the objective function. The results show that the rate is almost the same as that of WRPGA(co) without noise and errors, which is optimal and independent of the spatial dimension. …”
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Live Cell Imaging to Monitor Axonal Pruning in Drosophila Motor Neurons by Keyao Long, Wanyue Xu, Xun Miao, Su Wang, Menglong Rui

“…Over the lifespan of an individual, brain function requires adjustments in response to environmental changes and learning experiences. …”
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Credit approval classification through a WASD neuronet by Mourtas Spyridon D.

“…In light of this, a new weights and structure determination (WASD) neuronet has been developed to address the two issues of credit approval mentioned above, as well as to manage its particular features. We improve the learning process of the WASD algorithm with a novel activation function for optimal adaptation to the credit approval model, motivated by the finding that WASD neuronets perform better than traditional back-propagation neuronets in terms of slow training speed and trapping in a local minima. …”
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GOAL-ORIENTED BREATHING EXERCISES IN ACUTE PERIOD AFTER STROKE by Kristin Grigorova-Petrova

“…The respiratory function of patients with stroke becomes worse and may lead to restrictive disorders in ventilation and pulmonary complications. …”
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Using multiple representations to improve student understanding of quantum states by Emily Marshman, Alexandru Maries, Chandralekha Singh

“…In quantum mechanics, students learn about several ways to represent quantum states, e.g., as state vectors in Dirac notation and as wave functions in position and momentum representation. …”
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Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis. by Emrah ASLAN

“…The studies were carried out using the Malaria Dataset supplied by the National Institute of Health (NIH), and our proposed architecture was shown to function with 99.12% accuracy. The results of the study reveal that it is effective in improving the accuracy of cell images containing Plasmodium. …”
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V2X offloading and resource allocation under SDN and MEC architecture by Haibo ZHANG, Zixin WANG, Xiaofan HE

“…To address the serious problem of delay and energy consumption increase and service quality degradation caused by complex network status and huge amounts of computing data in the scenario of vehicle-to-everything (V2X),a vehicular network architecture combining mobile edge computing (MEC) and software defined network (SDN) was constructed.MEC sinks cloud serviced to the edge of the wireless network to compensate for the delay fluctuation caused by remote cloud computing.The SDN controller could sense network information from a global perspective,flexibly schedule resources,and control offload traffic.To further reduce the system overhead,a joint task offloading and resource allocation scheme was proposed.By modeling the MEC-based V2X offloading and resource allocation,the optimal offloading decision,communication and computing resource allocation scheme were derived.Considering the NP-hard attribute of the problem,Agglomerative Clustering was used to select the initial offloading node,and Q-learning was used for resource allocation.The offloading decision was modeled as an exact potential game,and the existence of Nash equilibrium was proved by the potential function structure.The simulation results show that,as compared to other mechanisms,the proposed mechanism can effectively reduce the system overhead.…”
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A New Hybrid Algorithm for Bankruptcy Prediction Using Switching Particle Swarm Optimization and Support Vector Machines by Yang Lu, Nianyin Zeng, Xiaohui Liu, Shujuan Yi

“…In particular, a recently developed SPSO algorithm is exploited to search the optimal parameter values of radial basis function (RBF) kernel of the SVM. The new algorithm can largely improve the explanatory power and the stability of the SVM. …”
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Construction of Social Security Fund Cloud Audit Platform Based on Fuzzy Data Mining Algorithm by Yangting Huai, Qianxiao Zhang

“…The general idea of using fuzzy data mining algorithm to build the social security fund audit cloud platform is to compress the knowledge contained in a large number of data into the weights between nodes and optimize the weights through the learning of the neural network system. Through the optimization function, the information contained in the neural network is stored in a few weights as far as possible. …”
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THE STUDY OF NATURALISM ON A THOUSAND SPLENDID SUN NOVEL by Nida Mufidah

“…Literature may also have a wider educational function in the classroom in that, it can help to stimulate the imagination of students to develop their critical abilities and to increase their emotional awareness …”
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Kompetencje kluczowe w rozwoju przyszłej kariery zawodowej pokolenia Z a edukacja by Katarzyna Jagielska

“…This article presents the example of the Catholic Montessori Secondary School in Kraków which prepares students to function freely on the labour market. The research was conducted in a qualitative paradigm between 2020 and 2022. …”
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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

“…Subsequently, an improved CMOCSO algorithm is introduced, which bifurcates the evolutionary process into two distinct stages using a central point-moving strategy; each stage employs different evolutionary techniques to accelerate convergence rates, and a novel grouping strategy is implemented to increase the learning efficiency of the population. The efficacy of the algorithm is evaluated through testing on 16 standard functions, demonstrating its effectiveness in addressing constrained multi-objective problems. …”
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