PENGUKURAN KUALITAS CITRA DIGITAL COMPUTED RADIOGRAPHY MENGGUNAKAN PROGRAM PENGOLAH CITRA by D. R. Ningtias, S. Suryono, S. Susilo

“…The the image quality of data obtained in the form of radiography digital image files with DICOM format were then analyzed using PC out of CR system with methode of MTF. This methode is really efficient for QC spatial resolution quantitatively and so it can be used for assesing the quality of CR. …”
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Comparison of Radiographic Reconstruction and Clinical Improvement between Artificial Cervical Disc Replacement and Anterior Cervical Discectomy and Fusion by Yuxiang Chen, Yue Li, Yong Hai, Peng Yin, Yuzeng Liu, Jincai Yang, Qingjun Su

“…Artificial cervical disc replacement (ACDR) has been shown to be efficient in reducing symptoms after CDDD, although the topic remains highly controversial in this field. …”
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Analysis and Prediction of Traffic Conditions Using Machine Learning Models on Ikorodu Road in Lagos State, Nigeria by Udeme Udo Imoh, Majid Movahedi Rad

“…Traffic counts are essential for assessing road capacity to provide efficient, effective, and safe mobility. However, current methods for generating models for traffic count studies are often limited in their accuracy and applicability, which can lead to incorrect or imprecise estimates of traffic volume. …”
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Creating a circuit training model to improve the agility of seven-year-olds by Tatok Sugiarto, Arief Darmawan, Zihan Novitasari, Nadia Milkhatun Nadlifah, Primita Nur Mazzidah

“…Research and development from borg and gall are the research methods used. There are 24 variations as a result of this research and development. …”
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A Review on Impact of the Marine Salt Spray Environment on the Performance of Proton Exchange Membrane Fuel Cells by Shian Li, Jiakai Zhu, Guogang Yang, Qiuwan Shen

“…In addition, this study analyzes and summarizes the polarization curve variations in the marine salt spray environment, as well as the recovery methods after contamination, in order to provide certain references of PEMFC research for marine application.…”
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Assessing factors affecting smallholder earthen pond fish farming in the varied climates of the Rwenzori Region, Uganda by Athanasius Ssekyanzi, Joshua Wesana, Gilbert Van Stappen, Nancy Nevejan

“…It investigates how climatic variations, production methods, and sociodemographic factors influence aquaculture yields. …”
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Learning based lower limb joint kinematic estimation using open source IMU data by Benjamin Hur, Sunin Baek, Inseung Kang, Daekyum Kim

“…Abstract This study introduces a deep learning framework for estimating lower-limb joint kinematics using inertial measurement units (IMUs). While deep learning methods avoid sensor drift, extensive calibration, and complex setup procedures, they require substantial data. …”
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Progress in the Study of Dry Shrinkage Deformation and Drying Stress of Raw Bamboo by Jiayi Zhu, Lin Yang

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Molecular evolution of human H1N1 and H3N2 influenza A virus in Thailand, 2006-2009. by Kamol Suwannakarn, Thaweesak Chieochansin, Chitima Thongmee, Jarika Makkoch, Kesmanee Praianantathavorn, Apiradee Theamboonlers, Srinand Sreevatsan, Yong Poovorawan

“…HA sequences were conserved at the receptor-binding site. Amino acid variations in the antigenic site resulted in a possible N-linked glycosylation motif. …”
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An Automated Feature-Based Image Registration Strategy for Tool Condition Monitoring in CNC Machine Applications by Eden Lazar, Kristin S. Bennett, Andres Hurtado Carreon, Stephen C. Veldhuis

“…A comparison of feature detector-descriptor algorithms found SIFT, KAZE, and ORB to be the most suitable for MV-TCM registration, with KAZE presenting the highest accuracy and ORB being the most computationally efficient. The automated registration algorithm was shown to be efficient, performing registrations in 1.3 s on average and effective across a wide range of tool geometries and coating variations. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…This cutting-edge model efficiently integrates and analyzes complex spatial-temporal data. …”
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Noise robust aircraft trajectory prediction via autoregressive transformers with hybrid positional encoding by Youyou Li, Yuxiang Fang, Teng Long

“…Abstract Aircraft trajectory prediction is vital for ensuring safe and efficient air travel while addressing challenges in complex and dynamic environments. …”
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Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention by Long Duongthang

“…The model achieves the highest accuracy on three datasets and the second-highest on the rest, with results ranging from 57.03% on AffectNet to 100% on CK + and OuluCASIA, remaining competitive against other methods.…”
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Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. by Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan S Small, Nancy R Zhang

“…We reexamine the assumptions of existing MR methods and show how they need to be clarified to allow for pervasive horizontal pleiotropy and heterogeneous effect sizes. …”
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X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease by Wenhui Chen, Shunwu Xu, Yiran Peng, Yiran Peng, Hong Zhang, Jian Zhang, Huaihao Zheng, Hao Yan, Zhaowen Chen, Zhaowen Chen

“…Quantitative evaluations on the DPC-SF dataset demonstrate that X-FASNet achieves superior performance with 93.7% accuracy and 0.973 F1-score, outperforming CONVADD by 10.8 percentage points in accuracy and 0.118 in F1-score, while also surpassing EfficientB2 on key performance metrics. Comprehensive experimentation across multiple neuroimaging datasets confirms that X-FASNet provides an effective computational framework for neurodegeneration assessment, characterized by enhanced detection of subtle anatomical variations and improved pathological pattern recognition.…”
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Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques by Bing Yang, Xuyang Liu, Dongfang Zhang, Dongfang Zhang, Xiaofei Fan, Xiaofei Fan, Bo Peng, Jun Zhang, Jun Zhang

“…In response to the need for efficient and nondestructive assessment methods, this study explores the use of hyperspectral imaging combined with advanced feature selection and classification algorithms to evaluate eggplant seed viability. …”
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Physiochemical and functional properties of gelatin obtained from frigate mackerel (Auxis thazard), skipjack tuna (Katsuwonus pelamis), Longtail tuna (Thunnus tonggol) and yellowfi... by Qinghe Yin, Haohao Shi, Yongqiang Zhao, Gang Yu, Haohao Wu, Guanghua Xia, Tao Yang

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Corpus Linguistics in Teaching Vocabulary for EFL Learners: A Study of Foreign Speakers by Dina Irmayanti Harahap, Yenita Uswar, Nova Andriani, Nining Sudarwita, Enni Maysaroh

“…The analysis underscored the potential for effective and efficient vocabulary learning, emphasizing the integration of technology in EFL education to expose learners to diverse word types and variations in word formation within the Indonesian context. …”
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Mechanical properties and residual stresses in multi pass AISI 304 to AISI 1018 steel welds by SMAW and GTAW by Shridhar, Prabhat Kumar Janapareddy, G B Veeresh Kumar, Santosh Kumar Sahu, Ali El-Rayyes, Jayant Giri, Balkeshwar Singh

“…In this study, AISI 1018 Mild Steel (MS) and Stainless Steel (SS) AISI 304 were joined using Shielded Metal Arc Welding (SMAW) and Gas Tungsten Arc Welding (GTAW) multipass welding methods. Post-Weld Heat Treatment (PWHT) was performed on the weldments using an induction furnace to analyse the effects of PWHT on microstructural variations, mechanical characteristics and residual stresses of dissimilar weld joints. …”
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Dirichlet latent modelling enables effective learning and sampling of the functional protein design space by Evgenii Lobzaev, Giovanni Stracquadanio

“…Here we propose an autoregressive model, called Temporal Dirichlet Variational Autoencoder (TDVAE), which exploits the mathematical properties of the Dirichlet distribution and temporal convolution to efficiently learn high-order information from a functionally related, possibly remotely similar, set of sequences. …”
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