Hyperspectral RGB Imaging Combined With Deep Learning for Maize Seed Variety Identification by Jian Li, Fan Xu, Shaozhong Song, Qi Ji, Junling Liu

“…After that, we improved the classic ResNet50 model by adding the coordinate attention (CA) mechanism to the end of each residual block and replacing the global ReLU activation function with SiLU. This improvement enabled the model to capture more precise and detailed features while enhancing its predictive capability. …”
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Prediction of mutational tolerance in HIV-1 protease and reverse transcriptase using flexible backbone protein design. by Elisabeth Humphris-Narayanan, Eyal Akiva, Rocco Varela, Shane Ó Conchúir, Tanja Kortemme

“…We find the model correctly captures a considerable fraction of protease and reverse-transcriptase mutational tolerance and shows comparable accuracy using either experimentally determined or computationally generated structural ensembles. Predictions of tolerated sequence space afforded by the model provide insights into stability-function tradeoffs in the emergence of resistance mutations and into strengths and limitations of the computational model.…”
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CAPTCHA Recognition Method Based on CNN with Focal Loss by Zhong Wang, Peibei Shi

“…For this reason, the paper proposes a CAPTCHA recognition method based on convolutional neural network with focal loss function. This method improves the traditional VGG network structure and introduces the focal loss function to generate a new CAPTCHA recognition model. …”
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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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A computer scientist’s perspective on approximation of IFS invariant sets and measures with the random iteration algorithm by Tomasz Martyn

“…We study invariant sets and measures generated by iterated function systems defined on countable discrete spaces that are uniform grids of a finite dimension. …”
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Global phylogeography and microdiversity of the marine diazotrophic photoautotrophs Trichodesmium and UCYN-A by Angie Nguyen, Lucas J. Ustick, Alyse A. Larkin, Adam C. Martiny

“…ABSTRACT Photoautotrophic diazotrophs, specifically the genera Trichodesmium and UCYN-A, play a pivotal role in marine nitrogen cycling through their capacity for nitrogen fixation. …”
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Proteasome caspase-like activity regulates stress granules and proteasome condensates by Shirel Steinberger, Julia Adler, Nadav Myers, Yosef Shaul

“…To investigate the functional implications of CL activity, we generated cell lines devoid of CL function by introducing the PSMB6 T35A mutation. …”
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The value of experience: A historical sociology of data‑driven health care systems by Tiago Moreira

“…One of the key expectations associated with health data is their potential ability to make health systems more reactive, adaptable (“smart”) and efficient by integrating patient generated information into the digital infrastructure of these systems. …”
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L’intuition dans l’apprentissage et l’emploi d’une langue étrangère : pourquoi la notion est-elle importante ? by Wioletta Piegzik

“…The study focuses on the evaluative function of intuition linked to the rapid judgment of the grammatical correctness of sentences and the compensation function, which involves the immediate inference of the meaning of unknown lexical units from the context. …”
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TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…Adopting Unreal Engine 5, TACO integrates differentiable rendering with a Photorealistic Rendering Network to optimize adversarial textures targeted at YOLOv8. To ensure the generated textures are both effective in deceiving detectors and visually plausible, we introduce the Convolutional Smooth Loss function, a generalized smooth loss function. …”
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Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment by Sergio A. C. Bezerra, Sergio A. C. Bezerra Junior, Jose L. De S. Pio, Jose R. H. Carvalho, Keiko V. O. Fonseca

“…Initially, luminance and chrominance maps are generated after the reduction and spatial color conversion applied to the input images. …”
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Estimation of surface duct parameters using AIS data based on Bayesian inversion method by Hong-Guang Wang, Li-Jun Zhang, Jie Han, Li-Feng Huang, Qing-Lin Zhu

“…Directly utilizing historical samples and LHS-generated samples for Bayesian inversion can consistently and accurately yield results with an elevated-surface duct, with the latter being slightly more accurate than the former. …”
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Quantum Universally Composable Oblivious Linear Evaluation by Manuel B. Santos, Paulo Mateus, Chrysoula Vlachou

“…We also generalize our protocol to achieve vector oblivious linear evaluation, where several instances of oblivious linear evaluation are generated, thus making the protocol more efficient. …”
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Anti-ADAMTS13 Autoantibodies in Immune-Mediated Thrombotic Thrombocytopenic Purpura by Michael R. Snyder, Robert W. Maitta

“…In particular, specific amino acid sequences in ADAMTS13 may lead to conformational structures recognized by autoantibodies. Generation of these antibodies may occur more frequently among patients with a genetic predisposition. …”
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KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion by Wei Li, Lu Li, Man Peng, Ran Tao

“…It helps the model understand the complex relationships between the modalities by replacing the fixed activation function in the traditional MLP with a learnable activation function. …”
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Payload- and Energy-Aware Tactical Allocation Loop-Based Path-Planning Algorithm for Urban Fumigation Robots by Prithvi Krishna Chittoor, Bhanu Priya Dandumahanti, Abishegan M., Sriniketh Konduri, S. M. Bhagya P. Samarakoon, Mohan Rajesh Elara

“…Such improvements can diminish operator exposure, extend mission durations, and foster safer, more efficient urban pest control.…”
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Effect of lincRNA-EPS on osteoclastogenesis of RAW264.7 cells induced by RANKL and LPS: An experimental study by ZHANG Xu, WANG Yabing, SU Jiansheng

“…[Results:] RAW264.7 cell strain overexpressing lincRNA-EPS and its negative control strain were generated. Neither strain showed significant difference during osteoclastogenesis (P>0.05), either induced by RANKL or LPS; for osteoclastogenesis by LPS induction, TRAP staining showed that significantly more osteoclasts were generated from lincRNA-EPS OE strain (P<0.05), while phalloidin staining showed that larger F-actin rings were generated from lincRNA-EPS OE strain, and RT-qPCR also showed that the mRNA levels of 4 osteoclastogenesis-related genes (TRAP, CTSK, DC-STAMP and ATP6v0d2) after induction were significantly lower in lincRNA-EPS OE strain (P<0.05); however, those difference were not present (P>0.05) when osteoclastogenesis was induced by RANKL. …”
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Local approach to attributable disease burden: a case study on air pollution and mortality in Belgium by Arno Pauwels, Claire Demoury, Eva M. De Clercq, Brecht Devleesschauwer

“…For both pollutants, these national estimates never deviate more than 2% from those obtained with the global method, and never more than 4% in the individual provinces. …”
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Wrist joint proprioceptive acuity assessment using inertial and magnetic measurement systems by Lin Li, ShuWang Li, YanXia Li

“…The orientation of the joint position sense production ellipse is similar to the orientation of the range of motion ellipse, indicating that subjects generated the most accurate in directions where it is easy to generate more range of motion and the lowest accurate in directions where it is not easy to generate more range of motion. …”
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A novel asymmetric form of the power half-logistic distribution with statistical inference and real data analysis by Amal S. Hassan, Najwan Alsadat, Mohammed Elgarhy, Laxmi Prasad Sapkota, Oluwafemi Samson Balogun, Ahmed M. Gemeay

“…This study provided a significant contribution to developing an adaptable trigonometric extension of the power half-logistic distribution. To be more specific, we created an innovative two-parameter lifetime model called the sine power half-logistic distribution (SPHLD) by using features from the sine-generated family of distributions. …”
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