Fabrication of Dyes Adsorption Separation Membrane Via Post-Thermal Annealing Mediated Phase Inversion of Sulfonated Polyarylene Ethers Copolymers by Cheng Liyan, Li Yunfei

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Inverse problems for discrete Hermite nabla difference equation by B. Shiri, Y. Guang, D. Baleanu

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Generalized pseudo inverse kinematics at singularities for developing five-axes CNC machine tool postprocessor by Chu Anh My, Vuong Xuan Hai

“…A computational technique based on the generalized pseudo inverse kinematics for finding out feasible solution of the problem is proposed. …”
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Inverse Design of Broadband Dispersion Compensation Fiber Based on Deep Learning and Differential Evolution Algorithm by Fuxiao Ma, Yunjie Ma, Peili Li, Weihua Shi

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Inverse Kinematics of a 7-Degree-of-Freedom Robotic Arm Based on Deep Reinforcement Learning and Damped Least Squares by Shusheng Yu, Gongquan Tan

“…In this paper, we propose a novel solution to the inverse kinematics problem by combining Proximal Policy Optimization (PPO) with the Damped Least Squares (DLS) method, forming the Multistep PPO-DLS Inverse Kinematics (MPDIK) algorithm. …”
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Exact solution of the relationship between the eigenvalue discreteness and the behavior of eigenstates in Su–Schrieffer–Heeger lattices by Huitong Wei, Xiumei Wang, Xingping Zhou

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Additively manufactured conductive and dielectric 3D metasurfaces for independent manipulation of broadband orbital angular momentum by Mengze Li, Jiaqi Cai, Li Deng, Xiaopeng Li, Francesca Iacopi, Yang Yang

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First Post-War Five-Year Period 1946-1950: Development of Material and Technical Base of Agriculture in Irkutsk Region by K. K. Vasilyeva

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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…We describe the set of plausible food webs as an ‘ensemble’ of solutions to the inverse problem sampled with the LIM-MCMC algorithm. …”
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Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method by Nasser Keshavarz Faraj Khah, Bahare Salehi, Pooria Kianoush, Shahab Varkouhi

“…This information commonly results from pre-stack seismic inversion, while post-stack seismic information provides acoustic impedance as a layer-based property. …”
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ATHOS: A Hybrid Accelerator for PQC CRYSTALS-Algorithms Exploiting New CV-X-IF Interface by Alessandra Dolmeta, Maurizio Martina, Guido Masera

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Nonlinear blind source separation algorithm based on spline interpolation and artificial bee colony optimization by Lei CHEN, Shi-zhong GAN, Li-yi ZHANG, Guang-yan WANG

“…A post-nonlinear blind source separation algorithm based on spline interpolation fitting and artificial bee colony optimization was proposed for the more complicated nonlinear mixture situations.The separation model was constructed by using the spline interpolation to fit the inverse nonlinear distortion function and using entropy as the separation criterion.The spline interpolation node parameters were solved by the modified artificial bee colony optimization algorithm.The correlation constraint was added into the objective function for limiting the solution space and the outliers wuld be restricted in the separation process.The results of speech sounds separation experiment show that the proposed algorithm can effectively realize the signal separation for the nonlinear mixture.Compared with the traditional separation algorithm based on odd polynomial fitting,the proposed algorithm has higher separation accuracy.…”
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Comparative Study of Adaptive <i>l</i>₁-Regularization for the Application of Structural Damage Diagnosis Under Seismic Excitation by Weilin Wu, Junfang Wang, Jianfu Lin, Xuanyu Liu

“…Damage identification plays a crucial role in the post-earthquake assessment and safety control of civil structures, which is usually an ill-posed inverse problem due to the presence of uncertainties and lack of measurement information. …”
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Shear Capacity of Masonry Walls Externally Strengthened via Reinforced Khorasan Jacketing by Cagri Mollamahmutoglu, Mehdi Ozturk, Mehmet Ozan Yilmaz

“…Ductility, measured as post-peak deformation capacity, increased by factors of two (parallel) and three (diagonal). …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…These results highlight the potential of the proposed approach as an effective and deployable solution for radiation source investigation in post-disaster environments.…”
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Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method by Youming Wang, Didi Qing

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Loading rate, geometry, and damage state influence vertical extraction biomechanics in an ex vivo swine dental model by Timothy J. Gadzella, Karyne N. Rabey, Michael R. Doschak, Lindsey Westover, Owen Addison, Owen Addison, Dan L. Romanyk, Dan L. Romanyk

“…Increases in instantaneous stiffness during loading were associated with increases in loading rate. Inverse finite element solutions demonstrated consistent PDL parameters across loading cases. …”
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Early diuretic response and outcome prediction in ambulatory worsening heart failure: Natriuresis versus diuresis by M. Cobo Marcos, R. de laEspriella, I. Zegri‐Reiriz, P. Llacer, J. Rubio Gracia, J. Comín‐Colet, J. L. Morales‐Rull, P. Diez‐Villanueva, J. deJuan Bagudá, S. Jiménez‐Marrero, C. Ortiz Cortés, M. A. Restrepo‐Córdoba, J. M. García‐Pinilla, E. Barrios, S. delPrado Díaz, J. Núñez

“…Methods and results This is a post‐hoc analysis of the SALT‐HF trial involving 167 patients with ambulatory WHF randomized to receive intravenous furosemide with or without hypertonic saline solution. …”
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Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study by Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni

“…We proposed a hybrid deep learning–based neural network approach (Bidirectional Encoder Representations from Transformers [BERT]+convolutional neural network [CNN]+long short-term memory [LSTM]) to classify suicidal and nonsuicidal posts. Two state-of-the-art deep learning approaches (CNN and LSTM) were combined based on features (terms) selected from term frequency–inverse document frequency (TF-IDF), Word2vec, and BERT. …”
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The importance of frequency–place mismatch in the quality of sound perceived in single-sided deafness among cochlear implant recipients by Guillaume Gersdorff, Nicola Ivanovic, Masoud Zoka Assadi, Peter Nopp, Séverine Camby, Philippe Lefèbvre

“…Cochlear implants (CIs) have been explored as a solution for SSD, with varying success attributed to different factors, such as onset of deafness (pre- vs. post-lingual), duration of especially pre-lingual deafness, and compliance to rehab protocols, as well as the frequency-to-place mismatch, where the frequency assigned to CI electrodes does not align with the cochlea's natural tonotopy. …”
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