A Study on the Evolution of Emission Altitude with Frequency Among 104 Normal Pulsars by Chaoxin Luo, Xin Xu, Changrong Du, Qijun Zhi

“…We found that the evolution of emission altitudes with frequency for the majority of pulsars can be fitted using a power-law function with a normalization constant. In this work, it is found that the frequency evolution of pulsar emission altitude can be divided into three groups according to their different frequency dependencies of emission altitude (emission altitude decreases with frequency (Group A, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>η</mi><mo>≤</mo><mo>−</mo><mn>0.1</mn></mrow></semantics></math></inline-formula>), keeps relatively constant with frequency (Group B, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>−</mo><mn>0.1</mn><mo><</mo><mi>η</mi><mo>≤</mo><mn>0.1</mn></mrow></semantics></math></inline-formula>), and increases with frequency (Group C, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>η</mi><mo>≥</mo><mn>0.1</mn></mrow></semantics></math></inline-formula>)), where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>η</mi></semantics></math></inline-formula> is the emission altitude variation rate. …”
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Role of B-Cell Lymphoma/Leukemia 11A in Normal and Malignant Hematopoiesis by Haihang Zhang, Junhao Zeng, Fangling Zhang, Jing Liu, Long Liang

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Applications of Mesenchymal Stem Cells and Neural Crest Cells in Craniofacial Skeletal Research by Satoru Morikawa, Takehito Ouchi, Shinsuke Shibata, Takumi Fujimura, Hiromasa Kawana, Hideyuki Okano, Taneaki Nakagawa

“…This composite material is mainly derived from neural crest cells (NCCs). The neural crest is transient embryonic tissue present during neural tube formation whose cells have high potential for migration and differentiation. …”
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Aplikasi Jurnal Harian Covid-19 untuk Pemantauan Isolasi Mandiri (PISOM) by Mutiara Anggun, Margaretha Amanda, Tri Ahmad Sandi, Rinto Priambodo

“…Jurnal Teknologi Informasi dan Ilmu Komputer…”
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Griffiths Scales of Child Development 3rd Edition: normalization for the Brazilian population by Amanda Tragueta Ferreira-Vasques, Eduardo Pimentel da Rocha, Elizabeth Green, Dionísia Aparecida Cusin Lamônica

“…The normalization table of Griffiths III with the developmental age of children from 0 to 72 months was elaborated through linear progression, calculated using a specific formula.DiscussionThe data collected for the Brazilian population from 0 to 72 months were normalized, following the guidelines and norms of the original Griffiths III.…”
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Effects of Short Term Exposure of Atrazine on the Liver and Kidney of Normal and Diabetic Rats by Dinesh Babu Jestadi, Alugoju Phaniendra, Undru Babji, Thupakula Srinu, Bhavatharini Shanmuganathan, Latha Periyasamy

“…Atrazine administration led to significant increase in liver damage biomarkers such as AST, ALT, and ALP as well as kidney damage biomarkers such as creatinine and urea in both normal and diabetic rats, but this increase was more pronounced in diabetic rats when compared to normal rats. …”
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Model-agnostic neural mean field with a data-driven transfer function by Alex Spaeth, David Haussler, Mircea Teodorescu

“…The statistical physics concept of a mean-field model offers a tractable way to bridge the gap between single-neuron and population-level descriptions of neuronal activity, by modeling the behavior of a single representative neuron and extending this to the population. However, existing neural mean-field methods typically either take the limit of small interaction sizes, or are applicable only to the specific neuron models for which they were derived. …”
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Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks by Kang Xie, Yixian Yang, Ling Zhang, Maohua Jing, Yang Xin, Zhongxian Li

“…In order to meet the demands of operation monitoring of large scale, autoscaling, and heterogeneous virtual resources in the existing cloud computing, a new method of live virtual machine (VM) migration detection algorithm based on the cellular neural networks (CNNs), is presented. Through analyzing the detection process, the parameter relationship of CNN is mapped as an optimization problem, in which improved particle swarm optimization algorithm based on bubble sort is used to solve the problem. …”
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Secure UAV-Based System to Detect Small Boats Using Neural Networks by Moisés Lodeiro-Santiago, Pino Caballero-Gil, Ricardo Aguasca-Colomo, Cándido Caballero-Gil

“…The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles (UAV) combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned objects through patterns without depending on where they are located. …”
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Transformer-Based Optimization for Text-to-Gloss in Low-Resource Neural Machine Translation by Younes Ouargani, Noussaim El Khattabi

“…This study addresses this critical research gap by presenting a novel transformer-based Neural Machine Translation model specifically tailored for real-time text-to-GLOSS translation. …”
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Parameterization of the Differences in Neural Oscillations Recorded by Wearable Magnetoencephalography for Chinese Semantic Cognition by Xiaoyu Liang, Huanqi Wu, Yuyu Ma, Changzeng Liu, Xiaolin Ning

“…Neural oscillations observed during semantic processing embody the function of brain language processing. …”
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Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network by Thuy-Anh Nguyen, Hai-Bang Ly, Hai-Van Thi Mai, Van Quan Tran

“…In this investigation, an approach using a feedforward neural network (FNN) machine learning algorithm was proposed to predict the compressive strength of later-age concrete. …”
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Beyond what was said: Neural computations underlying pragmatic reasoning in referential communication by Shanshan Zhen, Mario Martinez-Saito, Rongjun Yu

“…Our findings provide a preliminary neurocomputational account of how the brain represents Bayesian belief inferences and the neural basis of heterogeneity in such reasoning.…”
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Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers by Alon Kukliansky, Marko Orescanin, Chad Bollmann, Theodore Huffmire

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Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales by Yanqin Wang, Maoan Han

“…We use the method of coincidence degree and construct suitable Lyapunov functional to investigate the existence and global exponential stability of antiperiodic solutions of impulsive Cohen-Grossberg neural networks with delays on time scales. Our results are new even if the time scale T=R or Z. …”
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Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models by Jin Dai, Xin Liu

“…In order to reduce the interference of the uncertainty of nature language, a similarity measurement between normal cloud models is adopted to text classification research. …”
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Respiratory disease detection in lung auscultation with convolutional neural networks and CVAE augmentation by D.V. Panaskin, S.H. Stirenko, D.S. Babko

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AN APPROACH HYBRID RECURRENT NEURAL NETWORK AND RULE-BASE FOR INTRUSION DETECTION SYSTEM by Trần Thị Hương, Phạm Văn Hạnh

“…In this paper, we present a model based on the combination of recurrent neural networks and rule sets for the network intrusion detection problem. …”
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Geosmithia Species in Florida: Common Fungal Symbionts of Wood-Boring Bark Beetles by Yin-Tse Huang, Jiri Hulcr

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Horseshoe Chaos in a 3D Neural Network with Different Activation Functions by Fangyan Yang, Song Tang, Guilan Xu

“…This paper studies a small neural network with three neurons. First, the activation function takes the sign function. …”
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