Exotic phases in finite-density ℤ 3 theories by Michael C. Ogilvie, Moses A. Schindler, Stella T. Schindler

“…Complex ℤ 3 spin and gauge models exhibit a generalized Kramers-Wannier duality mapping them onto chiral ℤ 3 spin and gauge models, which are simulatable with standard lattice methods in large regions of parameter space. The Migdal-Kadanoff real-space renormalization group (RG) preserves this duality, and we use it to compute the approximate phase diagram of both spin and gauge ℤ 3 models in dimensions one through four. …”
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Sensorless Deadbeat Control Strategy With Adaptive Capability for PMSM Drive Machines by Sadeq Ali Qasem Mohammed, Mohammad M. Almuhaini, Kyo-Beum Lee

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A dataset of the operating station heat rate for 806 Indian coal plant units using machine learningZenodo by Yifu Ding, Jansen Wong, Serena Patel, Guiyan Zang, Dharik Mallapragada

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Comparison of elastic properties of periodic and aperiodic porous structures produced by additive methods by Radosław Grabiec, Jacek Tarasiuk, Sebasatian Wroński, Gianpaolo Pillon

“… The aim of this work was to design, print, and examine elastic properties of porous structures with various parameters and beam distributions. These structures, generated using an algorithm, featured three types of lattices: octet, cubic, and Voronoi diagram-based, with different porosities (40 %, 60 %, 80 %) and beam sizes (0.45 mm, 0.66 mm). …”
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Augmented Envelope Neural Networks on RF-SoC for Digital Self-Interference Cancellation by Udara De Silva, Hiruni Silva, Arjuna Madanayake

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Spectral Clustering-Guided News Environments Perception for Fake News Detection by Kun Wang, Yuzhen Yang, Xiaoyang Wang

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YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection by Qi Zhou, Huicheng Li, Zhiling Cai, Yiwen Zhong, Fenglin Zhong, Xiaoyu Lin, Lijin Wang

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Electromagnetic Radiation Force of Vortex Electromagnetic wave exerted on a perfect electromagnetic conductor (PEMC) Sphere by Muhammad Arfan, Abdul Ghaffar, Majeed. A. S. Alkanhal, Yasin Khan, Ali. H. Alqahtani, Sajjad Ur Rehman

“…The cross-section factors i.e., scattering cross section and extinction cross section  have been computed. The influence of sphere size parameter ( ) and beam waist radius  versus scattering angle ( ) for the RF along with scattering cross section  has been numerically analyzed. …”
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Peculiarities of Clinical Indices, Duration and Complication of Acute Pancreatitis in Patients With Comorbid Obesity by Kebkalo A., Tkachuk O., Reiti A.

“…The aim of the study is to find out the features of clinical indicators, course and complications of acute pancreatitis in patients with comorbid obesity. …”
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From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account by Tao Shen, Fulu Kong, Shuai Yuan, Xueying Wang, Di Sun, Zongshuo Ren

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Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection by Md. Najmul Mowla, Davood Asadi, Shamsul Masum, Khaled Rabie

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Synthesis, Characterization and Density Functional Study of LiMn1.5Ni 0.5O4 Electrode for Lithium ion Battery by M. Aruna Bharathi, K. Venkateswara Rao, M. Sushama

“…This paper explains the synthesis of most interesting cathode material Lithium Manganese Spinel and its derivatives like transition metal oxide (LiNi0.5Mn1.5O4) using Co-Precipitation chemical method; it is one of the eco-friendly ,effective, economic and easy preparation method. The structural features of LiNi0.5Mn1.5O4 was characterized by XRD – analysis indicated that prepared sample mainly belong to cubic crystal form with Fd3m space group ,with lattice parameter a  8.265 and average crystal size of 31.59 nm and compared the experimental results with computation details from first principle computation methods with Quantum wise Atomistix Tool Kit (ATK),Virtual Nano Lab. …”
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Primordial black holes from effective field theory of stochastic single field inflation at NNNLO by Sayantan Choudhury, Ahaskar Karde, Pankaj Padiyar, M. Sami

“…In the diffusion-dominated limit, we numerically compute the probability distribution featuring exponential tails at each order of perturbative treatment.…”
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

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Mode Sensitivity Analysis of Subwavelength Grating Slot Waveguides by Mutasem Odeh, Krishna Twayana, Karen Sloyan, Juan E. Villegas, Sujith Chandran, Marcus S. Dahlem

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A Unified Surrogate Framework for Data-Driven Reliability Analysis of Mechanical Systems from Low to Multi-DOF by Lun Shao, Alexandre Saidi, Abdel-Malek Zine, Mohamed Ichchou

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Nonlinear effects and possible temperature increases in ultrasonic microscopy by J. Wójcik, J. Litniewski, L. Filipczyński, T. Kujawska

“…Pressure distributions in the lens cavity and the following region in water were computed for the first 4 harmonics making it possible to determine many features of the nonlinear propagation effects in the microscope. …”
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Normally-Off Trench-Gated AlGaN/GaN Current Aperture Vertical Electron Transistor with Double Superjunction by Jong-Uk Kim, Do-Yeon Park, Byeong-Jun Park, Sung-Ho Hahm

“…This study proposes an AlGaN/GaN current aperture vertical electron transistor (CAVET) featuring a double superjunction (SJ) to enhance breakdown voltage (BV) and investigates its electrical characteristics via technology computer-aided design (TCAD) Silvaco Atlas simulation. …”
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Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

“…Our models were trained using a leave-one-out methodology, allowing for broad applicability across subjects and pre-trained models for deployments. It also features a confidence parameter, ensuring that only highly certain cases are automatically classified, leaving ambiguous cases for the multimodal unsupervised classifier or further expert review. …”
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A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

“…Bridge construction projects are rife with uncertainty because of their unique features, from execution of the work, time estimation, inspection and assessment to fund allocation. …”
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