Simultaneous integrated boost-intensity modulated radiation therapy (SIBIMRT) planning for pelvic tumours: dose coverage to target volume and normal tissue sparing by Marwa Ali Hussein, Siham Sabah Abdullah, Hadeel Kamil Abdullah, Abdulrahman Mohammed Abdulbaqi, Sura Abdul Kareem Madlool

“…There was a significant variance in the target volume dose and organ at risk in the 4 different plans generated using the simultaneous integrated boost-intensitymodulated radiation therapy technique (p<0.05). …”
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Improvement of image quality for small lesion sizes in 18F-FDG prone breast silicon photomultiplier-based PET/CT imaging by Nobuhiro Yada, Hiroyuki Kuroda, Toshihiko Kawamura, Mizuki Fukuda, Yoshinori Miyahara, Takeshi Yoshizako, Yasushi Kaji

“…Objective(s): We investigated image quality and standardized uptake values (SUVs) for different lesion sizes using clinical data generated by 18F-FDG-prone breast silicon photomultiplier (SiPM)-based positron emission tomography/computed tomography (PET/CT).Methods: We evaluated the effect of point-spread function (PSF) modeling and Gaussian filtering (Gau) and determined the optimal reconstruction conditions. …”
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Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images by Xiao-Lu Jin, Xue-Mei Li, Tie-Juan Liu, Ling-Yun Zhou

“…AIM: To develop different machine learning models to train and test diplopia images and data generated by the computerized diplopia test. …”
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Quantification of Phenolic Compounds in Olive Oils by Near-Infrared Spectroscopy and Multiple Regression: Effects of Cultivar, Hydroxytyrosol Supplementation, and Deep-Frying by Taha Mehany, José M. González-Sáiz, Consuelo Pizarro

“…The SELECT-OLS method generated highly predictive models with minimal complexity, using at most 30 wavelengths out of 700. …”
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Digital mapping of soil organic carbon in the hilly and mountainous landscape of Indian Himalayan region employing machine-learning techniques by Justin George Kalambukattu, Suresh Kumar, Bappa Das, Trisha Roy

“…The pixel wise uncertainty in SOC prediction by different models were also spatially mapped by generating the lower (LL) and upper limits (UL) of the 90% prediction interval. …”
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Piezoelectric sensor characterization in buckling mode for structural dynamic strain measurements by Aliakbar Ghaderiaram, Erik Schlangen, Mohammad Fotouhi

“…This paper investigates the potential of piezoelectric sensors operating in buckling mode for structural strain measurement by evaluating key factors including boundary conditions, sensor response linearity under dynamic loading, and impedance engineering to optimize the voltage–strain relationship. …”
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Experimentally validated transient enthalpy-based FEM model for PCM-integrated building materials with advanced thermal and energy efficiency insights by Ajitanshu Vedrtnam, Kishor Kalauni, Nelson Soares

“…Through extensive parametric analysis, the model reveals critical insights into temperature profiles, phase boundary evolution, entropy generation, and energy efficiency across different material depths. …”
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Comprehensive Bayesian exploration of Froggatt-Nielsen mechanism by Masahiro Ibe, Satoshi Shirai, Keiichi Watanabe

“…Abstract The Froggatt-Nielsen (FN) mechanism successfully explains the hierarchical structure of fermion Yukawa couplings by introducing a U(1) flavor symmetry with distinct charge assignments for different fermion generations. While some FN charge assignments have been proposed, their evaluation has largely relied on heuristic approaches. …”
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Masseter Vestibular evoked myogenic potentials: A new tool to assess the vestibulomasseteric reflex pathway by Aishwarya Nagarajan, Sujeet Kumar Sinha

“…The mVEMP could be used as a complementary test to evaluate the same peripheral generator as the cervical VEMP but a different central pathway i.e., vestibulo-trigeminal pathway. …”
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A Model‐Based Deep‐Learning Approach to Reconstructing the Highly Articulated Flight Kinematics of Bats by Yihao Hu, Chi Nnoka, Rolf Müller

“…Conventional methods to obtain these data have been based on tracing landmarks and require substantial manual effort. To generate 3D reconstructions of the entire geometry of a flying bat in a fully automated fashion, the current work has developed an approach where the pose of a trainable articulated mesh template that is based on the bat's anatomy is optimized to fit a set of binary silhouettes representing views from different directions of the flying bat. …”
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Current applications and challenges in large language models for patient care: a systematic review by Felix Busch, Lena Hoffmann, Christopher Rueger, Elon HC van Dijk, Rawen Kader, Esteban Ortiz-Prado, Marcus R. Makowski, Luca Saba, Martin Hadamitzky, Jakob Nikolas Kather, Daniel Truhn, Renato Cuocolo, Lisa C. Adams, Keno K. Bressem

“…Results We show that most studies investigate Generative Pre-trained Transformers (GPT)-3.5 (53.2%, n = 66 of 124 different LLMs examined) and GPT-4 (26.6%, n = 33/124) in answering medical questions, followed by patient information generation, including medical text summarization or translation, and clinical documentation. …”
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Carbon management in massive electric vehicle temporal and spatial scheduling with automotive electronic forensics by Yongsheng Cao, Yihong Zhang, Caiping Zhao

“…This study proposes a novel two-layer optimization model to address these issues by coordinating the scheduling of EVs, generators, and solar power. …”
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Machine Learning Approach for Ground-Level Estimation of Electromagnetic Radiation in the Near Field of 5G Base Stations by Oluwole John Famoriji, Thokozani Shongwe

“…Because a machine learning algorithm is trained by utilizing data obtained from numerous 5G base stations, it exhibits the capability to estimate the strength of the electric field effectively at every point of arbitrary radiation, while the base station generates a network and serves various numbers of 5G terminals running in different modes of service. …”
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A Comprehensive Review of Propeller Design and Propulsion Systems for High-Altitude Pseudo-Satellites by Eleonora Riccio, Filippo Alifano, Vincenzo Rosario Baraniello, Domenico Coiro

“…Additionally, the review includes a critical assessment of experimental methods for performance evaluation. These developments have enabled the design of propellers with efficiencies exceeding 85%, offering valuable insights for the next generation of high-endurance, high-altitude platforms.…”
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Performance assessment of water vortex power plant: Effect of material type and blade number by Hussein M. Zainal, Omer K. Ahmed

“…This article aims to evaluate the performance of water vortex power plants by studying the effect of turbine material type, number of blades, and height to enhance the efficiency of sustainable energy generation using turbine systems. …”
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An Empirical Taxonomy of Video Summarization Model From a Statistical Perspective by Sai Babu Veesam, Aravapalli Rama Satish

“…This paper has thrown out a comprehensive taxonomic view of all different video summarization techniques that show variously adopted methodologies efficiently condensing large video data. …”
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Computational and Experimental Investigation of Additively Manufactured Lattice Heat Sinks for Liquid-Cooling Railway Power Electronics by Ahmad Batikh, Jean-Pierre Fradin, Antonio Castro Moreno

“…Numerical simulations and experimental evaluations were carried out to analyze thermal resistance, pressure drop, and temperature distribution under different operating conditions. …”
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Planejamento sistemático de layout com apoio de análise de decisão multicritério Systematic layout planning aided by multicriteria decision analysis by Guilherme L. Tortorella, Flávio S. Fogliatto

“…The company analyzed is expanding its physical area to house new machines and optimize material flows. Nine different macro-layout alternatives were generated and the best overall alternative was evaluated in relation to seven criteria using AHP (Analytic Hierarchy Process).…”
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Modelling of Functional Interaction of Hybrid Energy Storage System Battery Units by K. V. Dobrego, I. A. Koznacheev

“…From the point of view of evaluating the effectiveness of storage hybridization, a number of model systems operating under different load conditions using different block functional interaction schemes are being investigated. …”
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A systematic review on maternal-to-infant transfer of drugs through breast milk during the treatment of malaria, tuberculosis, and neglected tropical diseases. by Francis Williams Ojara, Aida N Kawuma, Catriona Waitt

“…The "ClinPK" checklist inadequately appraised the studies with variability in the number of relevant criteria across different studies.<h4>Conclusions/significance</h4>A consensus is required on best practices for conducting and reporting lactation pharmacokinetic studies, especially in neglected diseases such as malaria, tuberculosis, and NTDs, to optimize treatment of mother-infant pairs.…”
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