Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

“…The adoption of BPL towards improved PET radiomics robustness has the potential to transform NSCLC evaluation and management, but still needs standardization.…”
Get full text

Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“… Computed Tomography (CT) reconstruction is an important inverse problem in industrial imaging, requiring robust methods to address different sources of error in the data and model. …”
Get full text

Systematic review of statistically-derived models of immunological response in HIV-infected adults on antiretroviral therapy in Sub-Saharan Africa. by Joseph B Sempa, Eva L Ujeneza, Martin Nieuwoudt

“…Effect sizes of covariates were not directly quantitatively comparable in view of the combination of differing variables and scale transformation methods across models. …”
Get full text

Synthesis of a new crosslinked Poly-Bisphenol A Diglycidyl Ether (Poly-BADGE) as a carrier in Phenol transport by Agung Abadi Kiswandono, Mudasari Mudasir, Dwi Siswanta, Nurul H. Aprilita, Sri J. Santosa, Sutopo Hadi, Taifo Mahmud

“…The product was characterized using fourier-transform infrared spectroscopy (FTIR), thermogravimetry-differential thermal analysis (TG-DTA), and elemental analysis. …”
Get full text

A Generalized Approach to the Calculation Procedure of Distribution Network Steady-state and Transient Regime by Berzan V., Postoronca Sv., Vieru D., Tintiuc Iu.

“…To solve this problem we propose to use the mesh currents method, representation of the system of equations in matrix form and the Laplace transform. …”
Get full text

Terahertz Spectroscopy in Assessing Temperature-Shock Effects on Citrus by Junbo Wang, Ziyi Zang, Xiaomei Li, Dongyun Tang, Qi Xiao, Mingkun Zhang, Shihan Yan

“…Under different treatment conditions, water content shows different trends and degrees of change on the time scale, and accuracy was verified by traditional weighing methods. …”
Get full text

Satellite Image Time-Series Classification with Inception-Enhanced Temporal Attention Encoder by Zheng Zhang, Weixiong Zhang, Yu Meng, Zhitao Zhao, Ping Tang, Hongyi Li

“…However, its effectiveness seems to diminish in the scenario of fine-grained classification among similar categories, for example, different crop types. Theoretically, most of the existing methods focus on only one type of temporal attention, either global attention or local attention, but actually, both of them are required to achieve fine-grained classification. …”
Get full text

SELF-SIMILAR WAVES OF THREE-DIMENSIONAL MODEL OF WESTERVELT IN THE EXISTENCE OF DISSIPATION by Yuri Alexandrovich Chirkunov

“…It has been established that among the invariant submodels of rank 1, this model has only three types of essentially different (not connected by point transformations) self-similar waves. …”
Get full text

Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

“…Image generator for health tabular data (IGHT) transform tabular electronic medical record (EMR) data into structured 2D image matrices, enabling the use of powerful computer vision–based deep learning models. …”
Get full text

Prospective areas of didactic research: А problem statement. by M. V. Klarin, I. M. Osmolovskaya

“…Current educational practice largely functions independently of didactics: decisions on the selection of content, the methods and forms of instruction are often made at different levels and in different areas of education without a conceptual substantiation. …”
Get full text

FTIR-based molecular fingerprinting for the rapid classification of dengue and chikungunya from human sera using machine learning: an observational studyResearch in context by Souvik Das, Subhanita Roy, Aritri Bir, Arindam Ghosh, Tarun Kanti Bhattacharyya, Pooja Lahiri, Basudev Lahiri

“…Vibrational spectroscopy offers a novel, label-free alternative for detecting host molecular changes directly from serum. Methods: We conducted an observational study to evaluate the diagnostic potential of Fourier Transform Infrared (FTIR) and Raman micro-spectroscopy combined with machine learning for the classification of dengue and chikungunya from human serum. …”
Get full text

Bee-coming beekeepers: A qualitative study on changes in human-bee relationships through the adoption of beekeeping by honey hunters in Ceará, Northeast Brazil by Cydney Kate Seigerman

“…This study explores the transformation of human-bee relationships in the context of the adoption of contemporary beekeeping methods by meleiros in Sertão Central, Ceará, Northeast Brazil. …”
Get full text

Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…The increasing adoption of renewable energy sources and the emergence of distributed generation have significantly transformed the traditional energy landscape, leading to the rise of local energy markets. …”
Get full text

Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches by Cvetkovski Goga, Petkovska Lidija

Get full text

MHAGuideNet: a 3D pre-trained guidance model for Alzheimer’s Disease diagnosis using 2D multi-planar sMRI images by Yuanbi Nie, Qiushi Cui, Wenyuan Li, Yang Lü, Tianqing Deng

“…Additionally, a hybrid 2D slice-level network combining 2D CNN and 2D Swin Transformer is employed to capture the interrelations between the atrophy in different brain structures associated with Alzheimer’s Disease. …”
Get full text

Discrepancy between Forward and Reverse Seepage Characteristics in a Single Rough Fracture by Yulong Niu, Yuan Wang, Zhiyu Sun, Jinghua Li, Xin Xiang, Zhikui Wang

“…First of all, wavelet transform was used to decompose and reconstruct the single rough fracture for 8 times, and then 9 fracture models with various roughness degrees were constructed. …”
Get full text

Synchronization of a Dual-Mass Vibrating System with Two Exciters by Yunshan Liu, Xueliang Zhang, Dawei Gu, Lei Jia, Bangchun Wen

“…The differential motion equations of the total system were calculated using Lagrange’s equations, and the responses of the vibrating system in the steady state were derived by Laplace transform. The synchronization criterion between two exciters was deduced by using the averaging method. …”
Get full text

Akuisisi Foreground dan Background Berbasis Fitur DTC pada Matting Citra secara Otomatis by Meidya Koeshardianto, Eko Mulyanto Yuniarno, Mochamad Hariadi

“…The difference in results from In the research experiment was measured using MAE (Mean Absolute Error) compared with the supervised matting method and with other unsupervised matting methods. …”
Get full text

Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial by Taridzo Chomutare, Therese Olsen Svenning, Miguel Ángel Tejedor Hernández, Phuong Dinh Ngo, Andrius Budrionis, Kaisa Markljung, Lill Irene Hind, Torbjørn Torsvik, Karl Øyvind Mikalsen, Aleksandar Babic, Hercules Dalianis

“…Based on the Mann-Whitney U test, the median coding time difference for longer clinical text sequences was 123 seconds (PPPP ConclusionsThis study demonstrates the potential of AI to transform common tasks in clinical workflows, with ostensible positive impacts on work efficiencies for clinical coding tasks with more demanding longer text sequences. …”
Get full text

Effects of Adding Tricalcium Silicate Nanoparticles to the Universal G2 Bond Adhesive as Self‐Etch Mode on the Shear Bond Strength to the Orthodontic Bracket by Yasir R. Al‐Labban, Mehdi Alrubayee, Syed Jaffar Abbas Zaidi, Shakeel Kazmi

“…ANOVA showed significant differences between groups (p < 0.05), except between the control and 3% TCSNp groups. …”
Get full text