Design of an Integrated Model Combining CycleGAN, PPO, and Vision Transformer for Adaptive Scene Rendering in the Metaverse by Durga Prasad Kavadi, Kailash Chandra Mishra, Sai Babu Veesam, Mudimela Madhusudhan, Palacharla Ravi Kumar, Pannangi Naresh, Yuvaraju Chinnam

“…The emergence of the metaverse demands adaptive rendering systems that produce high-quality scenes, balancing the dimensions of visual fidelity with computational efficiency. Methods used for scene generation and rendering usually fail to incorporate user interactions in real time, leading to resource inefficiency and reduced user experience. …”
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In-vivo high-resolution χ-separation at 7T by Jiye Kim, Minjun Kim, Sooyeon Ji, Kyeongseon Min, Hwihun Jeong, Hyeong-Geol Shin, Chungseok Oh, Robert J. Fox, Ken E. Sakaie, Mark J. Lowe, Se-Hong Oh, Sina Straub, Seong-Gi Kim, Jongho Lee

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Corrigendum to “Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification” by Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie

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Approximations of Tangent Polynomials, Tangent –Bernoulli and Tangent – Genocchi Polynomials in terms of Hyperbolic Functions by Cristina B. Corcino, Roberto B. Corcino, Jay M. Ontolan

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Erratum to “Common Fixed Point Theorems in Modified Intuitionistic Fuzzy Metric Spaces” by Saurabh Manro, Sanjay Kumar, S. S. Bhatia, Kenan Tas

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Algorithmic Methods in Wireless Sensor Network 2014 by Haigang Gong, Dajin Wang, Shigeng Zhang, Nianbo Liu

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Kudriasov Type Univalence Criteria for Some Integral Operators by Virgil Pescar, Nicoleta Breaz

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The critical role of emotional communication for motivated reasoning by Ingo Wolf, Tobias Schröder

“…By conducting a factorial survey (N = 480) and incorporating a computational model of attitude formation, we aim to gain a deeper insight into the cognitive-affective mechanisms driving motivated reasoning. …”
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Application of machine learning in asphalt and concrete material testing: A comprehensive review by Khorshidi Meisam, Dave Eshan, Sias Jo

“…Key findings indicate that ensemble methods, such as Gradient Boosting and XGBoost, consistently outperformed other models in terms of prediction accuracy and handling nonlinear relationships, although they require significant computational power. In contrast, simpler models like SVM and ANN demonstrated strong predictive capabilities with smaller datasets but were prone to overfitting and computational challenges. …”
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Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model by Pan Zhang, Shaogui Deng, Xiyong Yuan, Fen Liu, Weibiao Xie

“…By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. …”
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A Water Management Model for Toshka Depression by K. M. Fassieh, M. A. Zaki

“…In order to provide the required assessment quantitatively, we developed a numerical model which computes TD mass balance and interbasin water movements. …”
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Protect or prevent? A practicable framework for the dilemmas of COVID-19 vaccine prioritization. by Raghu Arghal, Harvey Rubin, Shirin Saeedi Bidokhti, Saswati Sarkar

“…Answering such questions often becomes computationally intractable given that network size can exceed millions. …”
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TAS Scheduling With Grouping Flows by Hironao Abe, Yuhei Kawakami, Hideo Kawata, Takashi Nakanishi, Tomoaki Yoshida

“…This paper proposes a method to reduce the computational complexity of TAS schedules for the problem that the computation time increases exponentially as the amount of scheduled traffic (ST) flows increases. …”
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Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique by Weixian Tan, Pingping Huang, Zengshu Huang, Yaolong Qi, Wenqin Wang

“…Finally, the proposed method is validated through extensive computer simulations and real-field experiments. The results show that accurate 3D image can be generated at a very high speed by utilizing the proposed algorithm.…”
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Exploring the NANOG-TET2 interaction interface. Effects of a selected mutation and hypothesis on the clinical correlation with anemias by Claudia Testi, Roberta Piacentini, Roberta Piacentini, Alessandro Perrone, Chiara Bartoli, Daniele Leso, Domitilla Pavia, Elisa Pistolesi, Flavio Scipione, Irene Cotronea, Marco Adinolfi Falcone, Marco Ierani, Alberto Boffi, Lorenzo Di Rienzo

“…In this study, we focused on the computational analysis of a selected single-point mutation identified by a NGS screening panel in the TET2 enzyme classified as “variant of uncertain clinical significance.” …”
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Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning by Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova

“…Furthermore, we illustrate the computational complexity reduction by harnessing the power of DL models. …”
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Simulating the Emergence and Survival of Mutations Using a Self Regulating Multitype Branching Processes by Charles J. Mode, Towfique Raj, Candace K. Sleeman

“…During the lifespan of Fisher, computer technology had not advanced to a point at which it became an effective tool for simulating the phenomenon of the emergence and survival of mutations, but given the wide availability of personal desktop and laptop computers, it is now possible and financially feasible for investigators to perform Monte Carlo Simulation experiments. …”
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Opérations traductives dans les processus créatif et de conception en design by Sophie Fétro

“…In reality, translation phenomena are present in a multitude of moments, through different media, during production, through collaborative work and by third parties. Computer technology has added possible spaces for interpretation, notably due to computer coding and format changes, but also automated procedures that can also reduce the designer’s intervention, choice and interpretation moments. …”
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Development of Integrated Choice and Latent Variable (ICLV) Models Using Matrix-Based Analytic Approximation and Automatic Differentiation Methods on TensorFlow Platform by Jie Ma, Xin Ye, Kun Huang

“…It is found that the parameter estimates and standard error estimates are acceptable for both models and the computational time is expected to decrease using tensor data structures on the TensorFlow platform. …”
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An Analytical Method for Determining the Bottom-Hole Pressure of Vertical Well With Multiple Fractures by Longxin Li, Tao Qi, Changcheng Yang, Xian Peng, Tao Li, Die Hu

“…Sequentially, the validations of computational method and computational codes contain are presented. …”
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