Dark Matter Particle Flux in a Dynamically Self-consistent Milky Way Model by Lucijana Stanic, Mark Eberlein, Stanislav Linchakovskyy, Christopher Magnoli, Maryna Mesiura, Luca Morf, Prasenjit Saha, Eugene Vasiliev

“…In the new model, which we call a self-consistent Anisotropic Halo Model or scAHM, we derive distribution functions for DM velocity in heliocentric and geocentric reference frames. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…This paper investigates the impact of the multi-event mode and time-gating method on enhancing the imaging capabilities of the sensor, employing a probability distribution perspective. A behavioral model is established, enabling the simulation of the comprehensive functionality of a SPAD-based LiDAR system in either first-hit mode or multi-event mode, including the histogramming, coincident detection, time- gating functions. …”
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Inversion of Magnetic Anomaly Based on Cross Attention Transformer by Juntao Lei, Jieru Chi, Shandong Li

“…This module is devised to integrate the multi-scale features from each stage of the encoder, facilitating the decoder to achieve high-precision inversion. 3) We propose a forward constraint loss function. During network training, this loss function ensures that the inversion results adhere to geophysical principles. …”
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Sparse Attention-Based Residual Joint Network for Aspect-Category-Based Sentiment Analysis by Jooan Kim, Hyunyoung Kil

“…ABSA studies based on deep learning models have exploited the attention mechanism to detect aspect-related parts. Conventional softmax-based attention mechanisms generate dense distributions, which may limit performance in tasks that inherently require sparsity. …”
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An improved statistical bias correction method for Global Climate Model (GCM) precipitation projection: A case study on the CMCC-CM2-SR5 model projection in China’s Huaihe River Ba... by Yuning Luo, Ke Zhang, Wen Wang, Xinyu Chen, Jin Feng, Haijun Wang, Wei Liu, Cheng Guo, Cuiying Chen, Xiaozhong Wang

“…We applied this and three other methods—EquiDistant Cumulative Distribution Function matching method (EDCDF), combined Linear Scaling and Cumulative Distribution Function matching method (LS-CDF) and Quantile-quantile mapping method (QUANT)—to correct biases in the CMCC-CM2-SR5 model. …”
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Estimating Finite Source Effects in Microlensing Events due to Free-Floating Planets with the Euclid Survey by Lindita Hamolli, Mimoza Hafizi, Francesco De Paolis, Achille A. Nucita

“…We find a significant efficiency for finite source effect detection that turns out to be between 20% and 40% for a FFP power law mass function index in the range [0.9, 1.6]. …”
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Vibro-Impact Response of a Cracked Bar by Vikrant R. Hiwarkar, Vladimir I. Babitsky, Vadim V. Silberschmidt

“…Nonlinear resonant phenomena due to vibro-impact interaction in the cracked bar are obtained and analysed. A distribution of the higher harmonics along the bar length, generated due to the nonlinear response of the crack, is revealed as a function of the distance from the crack. …”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

“…Despite notable differences in the number of detection samples, TRMM and GPM exhibit comparable spatiotemporal distributions and vertical structures, including rain-rate profiles, storm top heights and liquid (ice) water path. …”
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Analysis of Whole-Genome for <i>Alternaria</i> Species Identification by Ying Yang, Yutong Gan, Wenjie Xu, Yuanhao Huang, Tianyi Xin, Rui Tan, Jingyuan Song

“…The genus <i>Alternaria</i>, functioning as a saprobe, endophyte, and plant pathogen, is widely distributed across various natural and human-impacted environments. …”
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Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN by Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa

“…Then, the important features are selected using Poisson Distribution Function - Snow Leopard Optimization (PDF-SLO), and the PJM-DJRNN is used to classify the types of disease. …”
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Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm by Liviu-Teodor Chira, Corneliu Rusu, Clovis Tauber, Jean-Marc Girault

“…Firstly, the point spread function is automatically estimated from the measured data. …”
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Identification of Coal Mine Infrastructure Facilities with Inefficient Power Consumption by Belyaevsky R.V., Ahmetgareev A.R.

“…The aim of this work is to develop a methodology for identifying facilities with inefficient power consumption using interval estimation of parametric rank distribution. The study applies a rank analysis method of energy consumption data that allows detection of anomalies without costly instrumental measurements. …”
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Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate Entropy Statistic Characteristic in Vehicle Running State by Shuan-Feng Zhao, Wei Guo, Chuan-wei Zhang

“…Therefore, this paper proposes an effective intrinsic mode function selection method for the approximate entropy of empirical mode decomposition considering the characteristics of the frequency distribution of road and vehicle information and the unsteady and nonlinear characteristics of the driver closed-loop driving system in vehicle driving state data. …”
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Baicalin: a potential therapeutic agent for acute kidney injury and renal fibrosis by Xiaoming Li, Xiaoming Li, Rui Xu, Rui Xu, Dan Zhang, Ji Cai, Ji Cai, He Zhou, He Zhou, Tao Song, Tao Song, Xianyao Wang, Xianyao Wang, Qinghong Kong, Liujin Li, Zhaohui Liu, Zhixu He, Zhengzhen Tang, Jun Tan, Jidong Zhang, Jidong Zhang, Jidong Zhang

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Comparative Study of ASE-ASE and ASE-Laser Based Quantum Random Number Generators by Shreyam Maity, Asish Prosad, Harinee Natarajan, V. Balaswamy, Varun Raghunathan

“…We develop, for the first time to the best of out knowledge, closed-form analytical expressions to describe the signal variance as a function of realistic, non-ideal fiber-optic optical components, the signal correlations as a function of digitizer sampling rate, and minimum entropy as a function of signal variance. …”
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Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection by Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Álvarez, Rafael C. González

“…Key contributions include designing a state space, action space, and reward function tailored for profilometric sensor inspection. …”
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Research on Rate Adaptation of Underwater Optical Communication with Joint Control of Photoelectric Domain by Yu Chen, Hongbing Qiu, Yanlong Li

“…In the electrical domain, the constellation distribution is optimized according to the desired probability mass function, and the modulation order is adjusted in real time by estimating the received signal-to-noise ratio of the link. …”
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Mean platelet volume in bipolar disorder: the search for an ideal biomarker by Mert DG, Terzi H

“…Abnormally distributed variables (ie, neutrophil&amp;ndash;lymphocyte ratio [NLR], platelet&amp;ndash;lymphocyte ratio [PLR], neutrophils, lymphocytes, hemoglobin, hematocrit [HCT], mean corpuscular volume [MCV], mean corpuscular hemoglobin [MCH], mean corpuscular hemoglobin concentration [MCHC], red cell distribution width [RDW], MPV, and plateletcrit [PCT]) were compared using the Mann&amp;ndash;Whitney U-test. …”
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Secrecy Performance Analysis of Mixed <italic>&#x03B1;</italic> &#x2212; <italic>&#x03BC;</italic> and Exponentiated Weibull RF-FSO Cooperative Relaying System by Nazmul Hassan Juel, A. S. M. Badrudduza, S. M. Riazul Islam, Sheikh Habibul Islam, Milton Kumar Kundu, Imran Shafique Ansari, Md. Munjure Mowla, Kyung-Sup Kwak

“…Exploiting the amplify-and-forward (AF) relaying scheme while considering two detection techniques (i.e. heterodyne detection and intensity modulation/direct detection) with pointing error impairments, the mathematical formulations of the unified probability density function and cumulative distribution function are performed for the equivalent signal-to-noise ratio of the considered dual-hop RF-FSO link. …”
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Methods to account for incomplete viewsheds in distance sampling by David M. Delaney, Tyler M. Harms, Jonathan P. Harris, Dan J. Kaminski, Jace R. Elliott, Stephen J. Dinsmore

“…The probability density function (PDF) of the sampling area specifies the expected proportion of the population that occurs at each distance from the observer and is a fundamental component of distance sampling models. …”
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