Experimental and numerical investigation of endwall flow control through air injection in a contra rotating fan by Maryam Sadoddin, Hossein Khaleghi

“…Two injection mass flow rates, 1.6% and 3.2% of the main mass flow rate, have been evaluated. Fast Fourier Transform and wavelet transform analyses have been applied to the experimental data. …”
Get full text

Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

“…Additionally, the average processing time per image was 136.14 ms, saving an average of 69.22 ms compared to the traditional Hough transform and 87.33 ms compared to the skeleton extraction method. …”
Get full text

Formulation of Risperidone Nano Niosomal Vesicular System by Ecofriendly Direct Ultrasonication Method by Mohamed I. Al- Shadedi, Fatima J. Al_Gawhari

“…The aim of this study is to develop a physical stable nanovesicular system with improved characteristics by addition of dicetyl phosphate at various concentrations as charge inducing agent. The preparation method was ecofriendly direct sonication. Span 60, cholesterol and drug at a fixed amounts were added to different concentrations of dicetyl phosphate ((0,3,6,12,18, and 24mg)/10 mL) to give six formulations, the final mixtures were added to phosphate buffer saline pH 7.4 and sonicated at 60°C without usage of organic solvents along the process of formulation. …”
Get full text

Evaluation of adsorption treatment method for removal of phenol and acetone from industrial wastewater by Eman H. Khader, Rasha H. Khudhur, Thamer J. Mohammed, Omar S. Mahdy, Anaam A. Sabri, Abeer S. Mahmood, Talib M. Albayati

“…Due to the toxins included in wastewater, wastewater reuse is becoming more and more important as a method of protecting the aquatic environment and conserving freshwater resources. …”
Get full text

Precise length control for large language models by Bradley Butcher, Michael O’Keefe, James Titchener

Get full text

AmpHGT: expanding prediction of antimicrobial activity in peptides containing non-canonical amino acids using multi-view constrained heterogeneous graph transformer by Yongcheng He, Xu Song, Hongping Wan, Xinghong Zhao

Get full text

New operational relations for mathematical models of local nonequilibrium heat transfer by E. M. Kartashov

“…Methods and theorems of operational calculus, methods of contour integration of complex transforms, and the theory of special functions were used.Results. …”
Get full text

A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography by Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Satyabrata Lenka, Ganapati Panda, Sujeevan Kumar Agir

“…Experimental results demonstrate that the proposed VMD-NLM-DWT approach achieves a maximum of 1.2 dB improvement in signal-to-noise ratio (SNR), an average 13% reduction in mean squared error (MSE), and 9% lower percent root mean square difference (PRD) compared to leading two-stage denoising methods. …”
Get full text

Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

“…ObjectiveTo explore the value of delta radiomics from cerebral CT perfusion (CTP) in predicting hemorrhagic transformation after intravenous thrombolysis for acute cerebral infarction (HT-ACI).MethodsClinical and imaging data of 419 patients with acute cerebral infarction who underwent CTP after treatment between November 2016 and August 2024 were retrospectively collected. …”
Get full text

Simulation and analysis of marine hydrodynamics based on the El Niño scenario by M. Ikhwan, R. Wafdan, Y. Haditiar, M. Ramli, Z. Muchlisin, S. Rizal

“…To separate the signal produced and obtain the quantitative difference of each sea layer, the simulation results are analyzed using the fast Fourier transform. …”
Get full text

Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details by Haoyu Lan, Bino A. Varghese, Nasim Sheikh-Bahaei, Farshid Sepehrband, Arthur W Toga, Jeiran Choupan

“…Given the advancements of denoising diffusion probabilistic model which produces high-fidelity images, we have assessed the efficacy of the diffusion model for neuroimaging harmonization. While GAN-based methods intrinsically transform imaging styles between two domains per model, we have demonstrated the diffusion model’s superior capability in harmonizing images across multiple domains with single model. …”
Get full text

Perceptual objective evaluation for multimodal medical image fusion by Chuangeng Tian, Juyuan Zhang, Lu Tang

“…Experimental results demonstrate that our method produces a satisfactory consistent with subjective perception, superior to the state-of-the-art quality evaluation methods. …”
Get full text

Highly-Efficient Hardware Architecture for ML-KEM PQC Standard by Haesung Jung, Quang Dang Truong, Hanho Lee

Get full text

WinMRSI: Feature Matching With Window Attention for Multimodal Remote Sensing Image by Yide Di, Yun Liao, Yunan Liu, Hao Zhou, Kaijun Zhu, Mingyu Lu, Qing Duan, Junhui Liu

“…However, substantial nonlinear radiometric differences between multimodal images pose significant challenges, often leading to mismatches. …”
Get full text

Problem Analysis of Asaoka Method on the Post-construction Settlement Prediction of Soft Ground by ZHOU Yuelei, LIU Zhonghan

“…In view of uncertainty of Asaoka method on the post-construction settlement prediction of soft ground,this paper transforms the measured data at constant time interval through BP neural network with good nonlinear fitting ability,establishes the regression analysis model at different starting points and different time intervals based on Asaoka method,predicts the post-construction settlement by the model and analyze the stability of the predicted value through mathematical methods,as well as comprehensively analyzes the stability of the prediction results with the measured data of a soft foundation treatment project.The analysis results show that:①BP neural network with good nonlinear fitting ability is effectively used in the transformation of the measured data of soft ground;②It is not advisable to judge the reliability of Asaoka method by the correlation coefficient;③The small error of β₁ can cause significant error to the prediction results;④The reliability of prediction results can be increased by expanding time interval.…”
Get full text

Simplified method for estimating the first natural frequency of a symmetric arch truss by Kirsanov Mikhail, Luong Cong

“…The results obtained by different analytical methods are compared with the results obtained by the numerical method. …”
Get full text

Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…In addition, the model with different training methods were tested for robustness against a black-box Adversarial Attack with a perturbation level of 3/255 according to the L¥ norm. …”
Get full text

Soil Porosity Detection Method Based on Ultrasound and Multi-Scale Feature Extraction by Hang Xing, Zeyang Zhong, Wenhao Zhang, Yu Jiang, Xinyu Jiang, Xiuli Yang, Weizi Cai, Shuanglong Wu, Long Qi

“…The acquired signals were subjected to three kinds of data augmentation processes to enrich the dataset: adding Gaussian white noise, time shift transformation, and random perturbation. Since the collected ultrasonic signals belong to long-time series data and there are different frequency and sequence features, this study constructs a multi-scale CNN-LSTM deep neural network model using large convolution kernels based on the idea of multi-scale feature extraction, which uses multiple large convolution kernels of different sizes to downsize the collected ultra-long time series data and extract local features in the sequences, and combining the ability of LSTM to capture global and long-term dependent features enhances the feature expression ability of the model. …”
Get full text

Beyond mixed methods: a pluralist approach to objects in interdisciplinary teaching and learning by Rune Bolding Bennike, Katrine Ellemose Lindvig

“…In contrast, we found the “epistemic” object of “perceptions”, that surfaced spontaneously in a student discussion, provided opportunities for transformative understanding across disciplines. We conclude the paper with some reflections on the learning potential of troublesome differences and our role as teachers in balancing improvisation and scaffolding to stimulate deeper interdisciplinary learning beyond mixed methods. …”
Get full text

Comparison of the Transformation Ability of the Major Saponins in <i>Panax notoginseng</i> by <i>Penicillum fimorum</i> Enzyme and Commercial <i>β</i>-glucosidase by Feixing Li, Ruixue Zhang, Dongmei Lin, Jin Yang, Ye Yang, Xiuming Cui, Xiaoyan Yang

“…The most significant difference between these two enzymes is their ability to transform Rb₁. …”
Get full text