Fingerprinting Indoor Positioning Based on Improved Sequential Deep Learning by Dongfang Mao, Haojie Lin, Xuyang Lou

“…Then, we validate our method using the publicly available <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>U</mi><mi>J</mi><mi>I</mi><mi>n</mi><mi>d</mi><mi>o</mi><mi>o</mi><mi>r</mi><mi>L</mi><mi>o</mi><mi>c</mi></mrow></semantics></math></inline-formula> dataset, demonstrating superior accuracy compared to existing methods. …”
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Parametric Modelling Techniques for Rhine Castle Models in Blender by Etienne Sommer, Mathieu Koehl, Pierre Grussenmeyer

“…This method aims to efficiently reconstruct the Rhine region’s castles, which are part of Europe’s most heavily fortified areas with a history that goes back to the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>XI</mi><mi>th</mi></msup></semantics></math></inline-formula> century. …”
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<i>λ</i> ∼ 4.7 μm Quantum Cascade Distributed-Feedback Lasers for Free-Space Communications by Morgan Turville-Heitz, Robert Marsland, Jae Ha Ryu, Steven A. Jacobs, Jeremy D. Kirch, Tom Earles, Steven Ruder, Kevin Oresick, Benjamin Knipfer, Dan Botez, Luke J. Mawst

“…We report the design and fabrication of 4.7 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>m emitting, 1.5 mm cavity length, single-mode distributed-feedback QCLs, with a CW front-facet output power of 165 mW and a calculated photon lifetime of 11.6 ps, resulting in an electrically limited CW modulation with a 3 dB cutoff at 850 MHz.…”
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High-Performance Optical Fiber Displacement Sensor with Extended Linear Range and Sensitivity by Gorka Zubia, Joseba Zubia, Josu Amorebieta, Gotzon Aldabaldetreku, Asier Zubia, Gaizka Durana

“…Our experimental results show that the pentafurcated designs increase both the range—up to 10.5 mm—and the sensitivity of the sensor—<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><msup><mi>mm</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula>—while minimizing the dead zone of the sensor (2.5 mm), allowing accurate measurements even at very short distances…”
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On the Frequency of Internal Gravity Waves in the Atmosphere: Comparing Theory with Observations by Robert G. Zakinyan, Alaa H. Kamil, Vladislav A. Svetlichny, Arthur R. Zakinyan

“…Moreover, in the anelastic gas approximation, the maximum frequency is equal to the Brunt–Väisälä buoyancy frequency, and in the incompressible fluid approximation, it is larger than the Brunt–Väisälä frequency by a factor of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msqrt><mn>7</mn></msqrt><mo>≅</mo><mn>2.6</mn></mrow></semantics></math></inline-formula>. …”
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Research on Mass Center Identification for Gravitational Wave Detection Spacecraft with Guaranteed Laser Link Pointing Accuracy by Shen-Ao Wang, Huibo Zhang, Lin Cai, Ziming Wang, Yumin An

“…The results show that this method can maintain the alignment precision of the laser interferometer arms within 10 nrad, while achieving a center of mass identification accuracy of 25 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>m. …”
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Layer Information Similarity Concerned Network Embedding by Ruili Lu, Pengfei Jiao, Yinghui Wang, Huaming Wu, Xue Chen

“…Firstly, we introduce the common vector for each node shared by all layers and layer vectors for each layer where common vectors obtain the overall structure of the multiplex network and layer vectors learn semantics for each layer. We get the node embeddings in each layer by concatenating the common vectors and layer vectors with the consideration that the node embedding is related not only to the surrounding neighbors but also to the overall semantics. …”
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Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images by Conghuan Ye, Shenglong Tan, Jun Wang, Li Shi, Qiankun Zuo, Bing Xiong

“…Experimental results demonstrate the superiority of the proposed method in key spaces (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mn>225</mn></msup></semantics></math></inline-formula>), PSNR (76.2543), and UACI (0.3329). …”
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MDA-DETR: Enhancing Offending Animal Detection with Multi-Channel Attention and Multi-Scale Feature Aggregation by Haiyan Zhang, Huiqi Li, Guodong Sun, Feng Yang

“…In the comprehensive experiments on the dataset, the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>m</mi><mi>A</mi><msub><mi>P</mi><mn>50</mn></msub></mrow></semantics></math></inline-formula> index of MDA-DETR was 1.3%, 0.6%, 0.3%, 3%, 1.1%, and 0.5% higher than RT-DETR-r18, yolov8n, yolov9-C, DETR, Deformable-detr, and DCA-yolov8, respectively, indicating that MDA-DETR is superior to other advanced methods.…”
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Disentangling Sources of Multifractality in Time Series by Robert Kluszczyński, Stanisław Drożdż, Jarosław Kwapień, Tomasz Stanisz, Marcin Wątorek

“…The obtained results point to the Gaussian distribution, so <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>q</mi><mo>=</mo><mn>1</mn></mrow></semantics></math></inline-formula>, as the appropriate reference distribution to evaluate the contribution of fatter tails to the width of multifractal spectra. …”
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FANT: Flexible Attention-Shifting Network Telemetry by Mingwei Cui, Yufan Peng, Fan Yang

“…For scenarios requiring rapid computation, FANT can accelerate algorithm execution <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mn>5</mn></msup></semantics></math></inline-formula>× by setting acceleration factors, with only a 6.4% performance loss.…”
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The Use of Artificial Intelligence in Data Analysis with Error Recognitions in Liver Transplantation in HIV-AIDS Patients Using Modified ABC Fractional Order Operators by Hasib Khan, Jehad Alzabut, D. K. Almutairi, Wafa Khalaf Alqurashi

“…In the mathematical aspects, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="script">R</mi><mn>0</mn></msub></semantics></math></inline-formula> was plotted for different cases which play a vital role in the infection spread in the population. …”
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A Systemic Approach to Inceptive Constructions in Lithuanian by Rolandas Mikulskas

“…According to their inherited semantics (or the semantics developed in the course of grammaticalization) all  inceptive markers in the list can be divided into minor groups. …”
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Spatio-Temporal Analysis of Acute Myocardial Ischaemia Based on Entropy–Complexity Plane by Esteban R. Valverde, Victoria Vampa, Osvaldo A. Rosso, Pedro D. Arini

“…Subsequently, we analysed the positioning in the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">H</mi><mo>×</mo><mi mathvariant="script">C</mi></mrow></semantics></math></inline-formula> causal plane for the control and ischaemia. …”
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Shallow-Water Wave Dynamics: Butterfly Waves, X-Waves, Multiple-Lump Waves, Rogue Waves, Stripe Soliton Interactions, Generalized Breathers, and Kuznetsov–Ma Breathers by Sarfaraz Ahmed, Ujala Rehman, Jianbo Fei, Muhammad Irslan Khalid, Xiangsheng Chen

“…A nonlinear <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mn>3</mn><mo>+</mo><mn>1</mn><mo>)</mo></mrow></semantics></math></inline-formula>-dimensional nonlinear Geng equation that can be utilized to explain the dynamics of shallow-water waves in fluids is given special attention. …”
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Efficient, Compact Mid-Infrared Sources: A Systematic Study of Intracavity Difference-Frequency Generation by Saeed Salimian Rizi, Liam G. K. Flannigan, Alex Chiasson, Tyler Kashak, Daniel Poitras, Chang-Qing Xu

“…By optimizing overlap between the pump and signal beams, we obtained a black-box efficiency (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>η</mi></mrow><mrow><mi>B</mi><mi>B</mi></mrow></msub></mrow></semantics></math></inline-formula>) of 3.4% W⁻¹ and a maximum DFG output power of 63 mW at a wavelength of 3437 nm for a 50 mm long periodically poled lithium niobate (PPLN) crystal. …”
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Comparison of Radio- and Phototoxicity in Association with an Enhancing Effect of the Photosensitizers Psoralen, Trioxsalen and Ortho-Iodo-Hoechst33258 on FaDu, PC-3, 4T1 and B16-F... by Katja Tietze, Florian Brandt, Kerstin Wetzig, Lisa Hübinger, Marc Pretze, Ralph Alexander Bundschuh, Jörg Kotzerke

“…Survival fraction and damage analysis using the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="normal">γ</mi></semantics></math></inline-formula>H2A.X assay (double-strand breaks) and the ELISA assay (cyclobutane pyrimidine dimers) were compared. …”
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Modified Heisenberg Commutation Relations, Free Schrödinger Equations, Tunnel Effect and Its Connections with the Black–Scholes Equation by Mauricio Contreras González, Roberto Ortiz Herrera, José González Suárez

“…For the position deformation case, the corresponding free wave functions are sinusoidal functions with a variable wave vector <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo stretchy="false">(</mo><mi>x</mi><mo stretchy="false">)</mo></mrow></semantics></math></inline-formula>. …”
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Estimating the Relative Risks of Spatial Clusters Using a Predictor–Corrector Method by Majid Bani-Yaghoub, Kamel Rekab, Julia Pluta, Said Tabharit

“…Given the known relative risks of spatial clusters over the past <i>k</i> time intervals, the main objective of the present study is to predict the relative risks for the subsequent interval, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula>. …”
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Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems by Jan Neunzling, Philipp Hainke, Hanno Winter, David Henriques, Matthias Fleckenstein, Torsten Markus

“…Based on these results, a simple model suitable for online State of Health (SoH) is derived and validated, showing an estimation accuracy of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.1</mn></mrow></semantics></math></inline-formula>%.…”
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