A Systematic Literature Review of Online Peer Feedback: Uncovering the Current Situation in EFL Setting by Sibakhul Milad Malik Hidayatulloh

“…It aims to serve as a guide for understanding and selecting appropriate methods to integrate online peer feedback into classroom settings, ultimately enhancing learning outcomes. …”
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Improving students' reading comprehension skills through the survey, question, read, recite, review (SQ3R) method by Samuel Sinulingga, Erikson Saragih, Christin Agustina Purba

“…This research describes the development of the ability to understand reading content and student activity when learning using the SQ3R method at XII APT SMK Negeri 1 Panai Hulu T.P 2022/2023. …”
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Phosphodiesterase-5 Inhibitors: Action on the Signaling Pathways of Neuroinflammation, Neurodegeneration, and Cognition by Christina Alves Peixoto, Ana Karolina Santana Nunes, Ana Garcia-Osta

“…The aim of this paper was to review present knowledge of the signaling pathways that underlie the use of PDE5-Is in neuroinflammation, neurogenesis, learning, and memory.…”
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An ongoing search of constant and sustainable Lutheran Theological Education in South Africa in the 21st century. by K. Mashabela, M. Madise

“…The article introduces a recent renewal of Lutheran theological institutions in a new teaching and learning environment by the Lutheran Church. It discusses the implications and successes of Lutheran theological education in South Africa. …”
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Explicit Content Detection System: An Approach towards a Safe and Ethical Environment by Ali Qamar Bhatti, Muhammad Umer, Syed Hasan Adil, Mansoor Ebrahim, Daniyal Nawaz, Faizan Ahmed

“…The proposed ECD system is based on residual network (i.e., deep learning model) which returns a probability to indicate the explicitness in media content. …”
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Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy by Yucong You

“…Secondly, this paper designs an efficient Elman neural network topology and sends the selected important data into the neural network for data learning and neural network parameter optimization, to achieve a more accurate agricultural economic forecasting model. …”
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Beyond the Hit: The Hidden Costs of Repetitive Head Trauma by Sikandar Khan, Lora Talley

“…These injuries can have significant consequences on major cognitive processes, such as learning and memory. This review synthesizes research that examines the effects of sports-related head trauma, particularly in football, on cognitive functioning. …”
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Model and Algorithm for Dependent Activity Schedule Optimization Combining with BIM by Guofeng Ma, Xiaoye Liu

“…We first consider the different maturities of upstream activity before and after the overlapping, the downstream sensitivity which is decided by involving communication strategies, and the learning and error-correcting ability of workers. Then, the overlap and communication strategies are decided by calculating the maximum revenue using Monte Carlo simulation and MATLAB based on overlap cost, communication cost, rework cost, and reward amount. …”
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Extracting neutron skin from elastic proton-nucleus scattering with deep neural network by G.H. Yang, Y. Kuang, Z.X. Yang, Z.P. Li

“…Based on the relativistic impulse approximation of proton-nucleus elastic scattering theory, the neutron density distribution and neutron skin thickness of 48Ca are estimated via the deep learning method. The neural-network-generated neutron densities are mainly compressed to be higher inside the nucleus compared with the results from the relativistic PC-PK1 density functional, resulting in a significant improvement on the large-angle scattering observables, both for the differential cross section and analyzing power. …”
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Design of Control System of Once-Through Steam Generator Based on Proximal Policy Optimization Algorithm by Cheng Li, Ren Yu, Wenmin Yu, Tianshu Wang

“…The agent chooses PID parameters as actions to the environment, and then, the reward value is obtained through the reward function of the environment which enables online learning of the agent. Compared with the PID controller, the simulation experiment result shows that the method not only has a good control performance but also has a good anti-interference ability.…”
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A twofold perspective on the quality of research publications: The use of ICTs and research activity models. by Jolanta Wartini-Twardowska, Natalia Paulina Twardowska

“…We conducted web-based surveys among academic scientists and applied machine learning techniques to model behaviors during and after the COVID-19 pandemic. …”
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Anomaly Detection in Moving Crowds through Spatiotemporal Autoencoding and Additional Attention by Biao Yang, Jinmeng Cao, Rongrong Ni, Ling Zou

“…We propose an anomaly detection approach by learning a generative model using deep neural network. …”
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Combating School Bullying through Developmental Guidance for Positive Youth Development and Promoting Harmonious School Culture by Eadaoin K. P. Hui, Sandra K. M. Tsang, Bella C. M. Law

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Neural Network Compensation Control for Output Power Optimization of Wind Energy Conversion System Based on Data-Driven Control by T. Li, A. J. Feng, L. Zhao

“…In order to improve the efficiency of the neural network training, three different learning rules are compared. Analysis results and SCADA data of the wind farm are compared, and it is shown that the method effectively reduces fluctuations of the generator speed, the safety of the wind turbines can be enhanced, the accuracy of the WECS output is improved, and more wind energy is captured.…”
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EDUCATIONAL PLANNING AND PEDAGOGICAL DIGITALISATION IN NIGERIA'S EDUCATIONAL SYSTEM by EMMANUEL SEMAKO GBESOEVI, RASAKI OLANREWAJU LAWAL, MONSURAT LOLADE OYELAMI, PIUS JIDE GBENU

“…Furthermore, the paper discusses the potential impact of educational planning and pedagogical digitalization on improving access to quality education and enhancing teaching and learning processes. It also presents case studies and best practices, showcasing successful initiatives and innovative approaches in Nigeria. …”
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Computational intelligence in the identification of Covid-19 patients  by using KNN-SVM Classifier by shaymaa adnan

“…This research presents an advanced methodology employing deep learning techniques for the analysis of medical pictures pertaining to respiratory disorders. …”
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Optimization of VGG-16 Accuracy for Fingerprint Pattern Imager Classification by Agus Andreansyah, Julian Supardi

“…The results showed the highest accuracy of 100% on the testing data with a learning rate of 0.0001, using 50 epochs and a training-to-validation data split ratio of 80%:10% from a total of 400 fingerprint image pattern data. …”
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“It all starts with urgency…” Engaging with the local ekklesia of Thessalonica as a window and mirror en route to sustained missionary impact by S. Joubert

“…By immersing ourselves in these texts, which also serve as hermeneutical mirrors, we intend to participate in a mimetic learning process, in order to come to terms with the nature of Paul’s embodied proclamation of the Gospel and his missional urgency. …”
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SDN TCP-SYN Dataset: A dataset for TCP-SYN flood DDoS attack detection in software-defined networksMendeley Data by Sudesh Kumar, Sunanda Gupta

“…Generated in a controlled testbed using advanced simulation tools Mininet(v2.3.0) and real internet traffic captured from real-world internet browsing sessions via Google Chrome and recorded using Wireshark(v3.0.2), this dataset is essential for researchers and practitioners working on TCP-SYN flood DDoS attack detection and machine learning-based traffic classification. The dataset is publicly available at Mendeley Data.…”
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Vehicle Type Recognition Algorithm Based on Improved Network in Network by Erxi Zhu, Min Xu, De Chang Pi

“…By properly setting weights and learning rates, the accuracy of the NIN model for vehicle type recognition reaches 97.2%.…”
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