MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…The experimental results show that MTFSR significantly outperforms traditional methods and most existing advanced techniques in change detection performance.…”
Get full text

DEVELOPMENT OF A DISCRETE MATHEMATICAL MODEL OF THE HYDROTREATING DIESEL FUEL REACTOR by Ksenia Igorevna Netsvetaeva

“…The article gives an example of the transformation of the initial mathematical model of the hydrotreating diesel fuel reactor which is a system of algebraic equations into its discrete analogue, using the method of "nets" (finite difference method). …”
Get full text

Feature extraction of coal mine ventilator vibration signals based on improved variational mode decomposition by TAO Long, GUO Yanfei

“…The feature components of the ventilator vibration signals were quickly extracted based on the inner product transform principle. Simulation and experimental results showed that the improved VMD algorithm performed well in extracting feature components of different intensities, with good accuracy and noise resistance. …”
Get full text

Reflecting on arts-based participatory research: considerations for more equitable transdisciplinary collaborations by Mia Strand, Yaseen Albany, Mandisa Nonhlanhla Lulama Buthelezi, Nozipiwo Hambaze, Anne Lemahieu, Fanelesibonge M Magwaza, Nina Rivers, Tarryn TB Swartbooi, Haseline van Vught, Bernadette Snow

“…Centralizing the use of arts-based methods in the form of storytelling and photography, we consider some key lessons emerging from this transdisciplinary research for transformative ocean governance. …”
Get full text

THE ROLE OF HUMAN PAPILLOMA VIRUS (HPV) INFECTION IN THE DEVELOPMENT OF ORAL SQUAMOUS CELL CARCINOMA - LITERATURE REVIEW by Elitsa Deliverska, Milena Ivanova-Shivarova, Stanislav Yordanov, Svetoslav Slavkov, Daniel Markov, Viktor Lenkov, Vessela Raykova, Deyan Neychev

“…Different detection methods are used, but their accuracy is controversial. …”
Get full text

Sequential Mixed Cost-Based Multi-Sensor and Relative Dynamics Robust Fusion for Spacecraft Relative Navigation by Shoupeng Li, Weiwei Liu

“…To avoid the matrix singularity induced by applying the non-convex function, the M-estimation type Kalman filter is transformed into its information filtering form. Further, to address the problem of the estimation consistency in the iterated unscented Kalman filter, the iterated sigma point filtering framework is adopted using the statistical linear regression method. …”
Get full text

Optimization model of economic and environmental benefits for green development of continental shale oil reservoirs based on CCUS-EOR by CHEN Shang, DU Jialin, DU Yuanhe, LIU Yeye

Get full text

EXPERIMENTAL STUDY OF IMMUNOMODULATORY FEATURES OF CEREBROSPINAL FLUID IN CASE OF BACTERIAL PURULENT MENINGITIS IN CHILDREN by L. A. Alekseeva, N. V. Skripchenko, G. F. Zheleznikova, N. E. Monakhova, A. A. Zhirkov, T. V. Bessonova

“…Concentration of cytokines (Interleukin (IL)-12, Tumor necrosis factor (TNF)-a, IL-8, IL-6, IL-10, IL-1b) in supernatants of 3-day old cultures of blood cells was detected by flow cytometry method.The effects of cerebrospinal fluid fractions directed on both stimulation and suppression of blast production were identified by phytohemagglutinin-stimulated reaction of leukocyte blast transformation (PHA-RLBT) test. …”
Get full text

Arabic Fake News Dataset Development: Humans and AI-Generated Contributions by Hanen Himdi, Nuha Zamzami, Fatma Najar, Mada Alrehaili, Nizar Bouguila

“…To address this issue, we performed the same task using Deep Learning (DL) and transformer-based methods with different word embeddings. …”
Get full text

Accurate Time-to-Target Forecasting for Autonomous Mobile Robots by Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu

“…Accurate estimation of payload delivery times poses a significant challenge for efficient planning across different sectors. This paper addresses this challenge by evaluating the effectiveness of four time forecasting methods: Linear Regression, Random Forest Regression, Transformer and Bidirectional Long Short-Term Memory (BiLSTM) networks. …”
Get full text

SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

“…In SFPFMformer, the random forest algorithm is applied to select the most important attributes, which reduces redundant attributes and improves performance and efficiency; then, multiple timescale segmentation is used to extract load data features from multiple time dimensions to learn feature representations at different levels. In addition, fusion time location encoding is adopted in Transformer to ensure that the model can accurately capture time-position information. …”
Get full text

Probing the diversity of kink solitons in nonlinear generalised Zakharov-Kuznetsov-Benjamin-Bona-Mahony dynamical model by Naher Mohammed A. Alsafri, Hamad Zogan

“…This equation models the physical phenomena of long waves with small and finite amplitude in magnetic plasma. Using a wave transformation, the employed transformative technique first converts GZK-BBME to a nonlinear ordinary differential equation (NODE). …”
Get full text

A systematic review of multimodal fake news detection on social media using deep learning models by Maged Nasser, Noreen Izza Arshad, Abdulalem Ali, Hitham Alhussian, Faisal Saeed, Aminu Da'u, Ibtehal Nafea

“…The volume of data circulating from online sources is growing rapidly and comprises both reliable and unreliable information published through many different sources. Researchers are making plausible efforts to develop reliable methods for detecting and eliminating fake web news. …”
Get full text

Evaluation of SURUS: a named entity recognition NLP system to extract knowledge from interventional study records by Casper Peeters, Koen Vijverberg, Marianne Pouwer, Bart Westerman, Maikel Boot, Suzan Verberne

“…To this end, we built SURUS, a named entity recognition (NER) system comprised of a Bidirectional Encoder Representations from Transformers (BERT) model trained on a fine-grained dataset. …”
Get full text

Growth Factor Comparison in Cortical Demineralized Bone Matrix that Demineralized Using Chloric and Acetic Acid by Mouli Edward, Ferdiansyah Mahyudin, Mohammad Hardian Basuki, Heri Suroto, Ferdiansyah Danang Perwira

“…This study investigated DBM extraction methods using different acids and immersion times to maintain optimal growth factor preservation. …”
Get full text

CCDR: Combining Channel-Wise Convolutional Local Perception, Detachable Self-Attention, and a Residual Feedforward Network for PolSAR Image Classification by Jianlong Wang, Bingjie Zhang, Zhaozhao Xu, Haifeng Sima, Junding Sun

“…Specifically, the proposed method comprises several key modules. In the channel-wise convolutional local perception module, channel-wise convolution operations enable accurate extraction of local features from different channels of PolSAR images. …”
Get full text

An Improved Three-Component Decomposition Method for <inline-formula><tex-math notation="LaTeX">$\pi$</tex-math></inline-formula>/4 Mode Compact PolInSAR Using Refined Volume Scatt... by Yu Wang, Weidong Yu, Daqing Ge, Bin Liu, Chunle Wang, Ling Zhang, Man Li

“…In the proposed method, refined volume scattering models proposed in fully polarimetric synthetic aperture radar (SAR) is applied to the compact SAR system through certain transformation relations, which can be used to interpret the scattering mechanisms of various land covers. …”
Get full text

Utility of ChatGPT as a preparation tool for the Orthopaedic In‐Training Examination by Dhruv Mendiratta, Isabel Herzog, Rohan Singh, Ashok Para, Tej Joshi, Michael Vosbikian, Neil Kaushal

“…Abstract Purpose Chat Generative Pre‐Trained Transformer (ChatGPT) may have implications as a novel educational resource. …”
Get full text

Analysis of MMP-8, MMP-20, and TGF-β1 in molar-incisor hypomineralization and assessment of periodontal health by Başak Senian Bilgir, Sema Aydınoğlu, İpek Arslan, Mehtap Atak, Oğuz Köse, Dilara Nil Günaçar

“…Abstract Background Gingival crevicular fluid (GCF) volume can be used to evaluate periodontal diseases, along with matrix metalloproteinase-8 (MMP-8) and transforming growth factor-beta 1 (TGF-β1) found in GCF. …”
Get full text

A Digital Ground Distance Relaying Algorithm to Reduce the Effect of Fault Resistance during Single Phase to Ground and Simultaneous Faults by Mohammad Razaz, Seyyed Ghodratollah Seifossadat, Morteza Razaz, Mahmood Joorabian

“…This paper intends to provide an algorithm of fault resistance compensation for digital ground distance relay considering the voltage and current transformer effects. Performance of the conventional ground distance relaying manner is adversely affected by different ground faults and also typical type, called a simultaneous open conductor and ground fault. …”
Get full text