DCDC PUF an enhanced implementation of ring oscillator based PUF by Leen Younes, Enas Abulibdeh, Baker Mohammad, Hani Saleh, Mahmoud Al-Qutayri

“…Abstract The Physical Unclonable Function (PUF) is a security mechanism that generates secret keys by capitalizing on inherent physical variations in a device to produce a distinctive response. …”
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Cannabinoids on the Brain by Andrew J. Irving, Mark G. Rae, Angela A. Coutts

“…These advances in our understanding of the actions of cannabinoids and the brain endocannabinoid system have led to important new insights into neuronal function which are likely to result in the development of new therapeutic strategies for the treatment of a number of key CNS disorders.…”
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Aplikasi Pemodelan 3 Dimensi Router Mikrotik RB433AH. RB450, RB800, RB951G-2HnD dan Haplite Berbasis Augmented Reality dan Firebase by Yohanes Kurniahu

“…However, there is a problem when the system reset function on the application is not successfully executed so it must reset by hardware reset on the Router Board. …”
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THE CONCEPTUAL INTEGRATION OF 21ST CENTURY SKILLS INTO ELT by Mustafa Çınar

“…From the time when education emerges as a separate profession to the end of 19th century, it centered upon the acquisition of the content by learners rather than highlighting the function of the content. Learners had to adapt their background knowledge into their experiences at work; therefore, it revealed the distinctions between school experiences and real-life experiences that are elicited by 21st century pedagogies. …”
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Q-Gen: A Parameterized Quantum Circuit Generator by Yikai Mao, Shaswot Shresthamali, Masaaki Kondo

“…Each customized generation function comes with algorithm-specific parameters beyond the number of qubits, providing a large generation volume with high circuit variability. …”
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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept by S. Prabakaran, S. Mary Praveena

“…Here, the main goal of the recommended research is to use a unique deep learning approach to predict the osteosarcoma on histology images. …”
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Diagnostic Criteria of Postoperative Cognitive Dysfunction: A Focused Systematic Review by Kim van Sinderen, Lothar A. Schwarte, Patrick Schober

“…A variety of neurocognitive tests were used to test a range of cognitive domains, including complex attention, language, executive functioning, perceptual-motor function, and learning and memory. …”
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MDSCNN: Remote Sensing Image Spatial–Spectral Fusion Method via Multi-Scale Dual-Stream Convolutional Neural Network by Wenqing Wang, Fei Jia, Yifei Yang, Kunpeng Mu, Han Liu

“…However, existing traditional methods or deep learning methods always have certain distortions in the spatial or spectral dimensions. …”
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The analysis of entrepreneurship evaluation system for talent cultivation in artistic creativity and animation under artificial intelligence by Hao Xie, Zijian Zhao

“…Abstract This work aims to explore the application of artistic creativity using deep learning (DL) and artificial intelligence (AI) in the evaluation system of innovation and entrepreneurship. …”
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Determining Dimensions and Components of Ethical Curriculum in Iranian Education System (A Qualitative Study) by Masoumhe Alidadi abdolabad, Naziasadat Nasseri, Farideh Hashemiannejad

“…Objective: Modern educational systems, in addition to facilitating the transmission of knowledge, serve a pivotal function in the moral and cultural development of learners. …”
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The significance of the emotional intelligence of a university teacher for students by Savely Evgenievich Cherkezov, Elena Vladimirovna Efimova, Tatyana Nikolaevna Nikolaevna Sharypova

“…The purpose of the research is to determine the significance for students of the presence of basic skills of emotional intelligence in a teacher.The research methods are questioning, analysis, synthesis, generalization.The results of the study are as follows: a questionnaire has been developed on the basic communication skills of emotional intelligence; students' survey has been conducted to identify their attitude to a teacher's emotional competence; the following skills have been prioritized: to address them by name; to be friendly when communicating; to give emotional color to the material presented; do not interrupt students in the process of communication; to be able to feel his emotional state and, on the basis of this, to build communication with him.Key conclusions: students are aware of the need for a teacher to carry out professional activities based on emotional intelligence; they expect a positive manifestation of his emotional competence associated with interpersonal interaction; remote learning mode actualize the competent manifestation of the emotional intelligence of the teacher, performing a compensatory function in remote interaction.…”
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Optimization Algorithm of Neural Network Structure Based on Adaptive Genetic Algorithm by XILiang, WANGRui dong

“…The experiment show that the algorithm for traditional neural network algorithm for function fitting better test; on breast_cancer dataset, the accuracy is 97 57% and the detect errors is 2 07%,better than the classical machine learning algorithms…”
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FibroRegNet: A Regression Framework for the Pulmonary Fibrosis Prognosis Prediction Using a Convolutional Spatial Transformer Network by Pardhasaradhi Mittapalli, V. Thanikaiselvan

“…We propose the utilization of a multimodal system called FibroRegNet, which capitalizes on the recent achievements in cross-model learning across general domains. FibroRegNet is designed to acquire knowledge through the regression function which maps the multimodal inputs, including CT scan and demographic information, to the coefficients of the quadratic polynomial ridge regression of FVC as outputs. …”
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Detection method of potato leaf disease based on YOLOv5s by Jingtao Li, Hao Chen, Guisong Li, Yueqi Liu, Yanli Yang, Xia Liu, Chang Yi Wang

“…To verify its effectiveness, we trained our model using Pytorch deep learning framework and achieved an accuracy rate of 90.3% and recall rate of 88%, which are respectively 8.6% and 8.9% higher than those obtained by YOLOv5s. …”
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Robust skeletal motion tracking using temporal and spatial synchronization of two video streams. by Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, Jurgita Žižienė, Artūras Serackis, Rytis Maskeliūnas

“…This study provides a cost-effective and scalable solution for remote patient monitoring and motor function evaluation.…”
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MaskDGNets: Masked-attention guided dynamic graph aggregation network for event extraction. by Guangwei Zhang, Fei Xie, Lei Yu

“…We designed a reconstructed weighted loss function to supervise and adjust each module individually to ensure the optimal feature representation. …”
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Lavandula angustifolia and Cyperus rotundus Extract Treatments Ameliorate Copper Toxicity in Rats by Mandana Salari, Faezeh Dahoee, Seyed Jamilaldin Fatemi, Manijeh Dogani

“…Additionally, Cu accumulates in the rats’ kidneys, liver, and brain, impairing their cognitive performance and liver and kidney function. Exposure to copper also increased malondialdehyde (MDA) and H2O2 levels and the expression of TNF‐α, IL‐6, IL1‐B, and Caspase‐3 genes while decreasing that of the BDNF. …”
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Modelo De Memoria Usando Red Neuronal De Retropropagación by Ramiro Alejandro Yerovi Vargas

“…The model experiment learning over all 3D space as a dataset, also learn sequentially with each iteration, consequently have an intelligent system (artificial intelligence). …”
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An Improved Transformer-Based Model for Urban Pedestrian Detection by Tianyong Wu, Xiang Li, Qiuxuan Dong

“…We also introduce a novel loss function, InnerMPDIoU, to enhance detection efficacy in congested environments. …”
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Cloud service composition optimization based on service association impact and improved NSGA-II algorithm by Chong Zhang, Longge Wang, Ketai He

“…To address this issue, this study introduces a service association cost function and develops a three-objective optimization model that explicitly accounts for service quality, cost, and service association effects. …”
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