Magnetically sensitive nanocomposites and magnetic liquids based on magnetite, gemcitabine, and antibody HER2 by A. L. Petranovska, M. V. Abramov, N. M. Оpanashchuk, S. P. Turanska, P. P. Gorbyk, N. V. Kusyak, A. P. Kusyak, N. Yu. Lukyanova, V. F. Chekhun

“… The processes of adsorption of gemcitabine (GC) on the surface of nanosized singledomain magnetite (Fe3O4) have been investigated. …”
Get full text

Toward a marginal Arctic sea ice cover: changes to freezing, melting and dynamics by R. C. Frew, A. W. Bateson, D. L. Feltham, D. Schröder, D. Schröder

“…We use an atmosphere-forced, physics-rich, sea-ice-mixed layer model based on CICE, that includes a joint prognostic floe size and ice thickness distribution (FSTD) model including brittle fracture and form drag. …”
Get full text

Riverbed Surface Settlement Patterns Induced by Pipe Jacking Construction in River-Crossing Sections by SHENG Song-tao, AN Zi-yue, ZHOU Hong-yun, LIU Jie

“…Considering soil elastoplasticity, the grouting layer, and hydrostatic pressure boundary conditions, this model simulated stress redistribution and surface deformation during the pipe jacking process. …”
Get full text

The Interpretation of Carbon Nanotubes’ Electrochemistry: Electrocatalysis and Mass Transport Regime in the Apparent Promotion of Electron Transfer by Josipa Dugeč, Ivana Škugor Rončević, Nives Vladislavić, Josip Radić, Maša Buljac, Marijo Buzuk

“…In particular, the origin of the electrochemical response is controversial, as it may be due to either electrocatalytic or non-electrocatalytic processes. The latter implies that the electroanalytical response is mainly governed by the mass transport phenomena within the porous CNT layer. …”
Get full text

Geospatial and temporal assessment of the variability of soil organic matter and electrical conductivity in irrigated semi-arid area by Zineb Tibhirine, Khalid Ibno Namr, Abdelkrim Bouasria, Bouchra El Bourhrami, Hiba Ettayeb

“…Salinization of soils, on the other hand, is a continual process that occurs from year to year, whether in the superficial layer or the layer below. …”
Get full text

Research on Intelligent Control Technology for a Rail-Based High-Throughput Crop Phenotypic Platform Based on Digital Twins by Haishen Liu, Weiliang Wen, Wenbo Gou, Xianju Lu, Hanyu Ma, Lin Zhu, Minggang Zhang, Sheng Wu, Xinyu Guo

“…Weather condition standards were defined based on multi-source sensor requirements, and a dual-layer weather risk assessment model was constructed using the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation by integrating weather forecasts and real-time meteorological data to guide adaptive data acquisition scheduling. …”
Get full text

Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks by Tyanita Puti Marindah Wardhani, Zulkifli Tahir, Elly Warni, Anugrayani Bustamin, Muhammad Alief Fahdal Imran Oemar, Muhammad Alwi Kayyum

“…This study utilises historical seismic and proposes innovative data pre-processing methods using K-means clustering to build a Long Short-Term Memory (LSTM) model for earthquake forecasting to overcome high-disparity locations. …”
Get full text

Phytoplankton Spring Bloom Inhibited by Marine Heatwaves in the North‐Western Mediterranean Sea by Mengyu Li, Emanuele Organelli, Federico Serva, Marco Bellacicco, Angela Landolfi, Andrea Pisano, Salvatore Marullo, Fang Shen, Alexandre Mignot, Simon vanGennip, Rosalia Santoleri

“…Such reduction is related to the enhanced stratification of the water column under MHWs which hinders the renewal of nutrients from deep‐ocean reservoirs, thus preventing surface phytoplankton from blooming. This process negatively impacts particulate organic carbon stocks within the mixed layer, while severe events cause an earlier shift of phytoplankton phenology that provokes changes in zooplankton biomass distribution.…”
Get full text

Effects of Fe3+ on EPS secretion and membrane fouling of microalgae-bacteria symbionts for breeding wastewater treatment by TIAN Maozhi, DING Ziyao, SUN Chen, ZHOU Weiyu, WANG Shengzhi, WAN Hanyu, LI Kun

“…The experimental results indicated that the addition of Fe3+ effectively mitigated membrane fouling, with the least fouling observed at iron mass concentration of 150 mg/L. The Hermia classic model was used to fit and analyze the membrane flux attenuation process. …”
Get full text

Seismic fault identification method based on CBAM-TransUNet by Xin WANG, Wei ZHANG, Tongjun CHEN, Ao ZHANG, Dang ZHAO

“…Firstly, the CBAM-Block attention module is integrated into the TransUNet network, and the module is added into the CNN tomography encoder part and the 3-layer jump connection part connecting the tomography encoder and the tomography decoder, respectively, to enhance the recognition ability of the seismic tomography image from two dimensions, namely, the channel and the space; secondly, the loss function optimised jointly by the Dice loss function and the cross-entropy loss function is selected to make the segmentation of the tomography image more accurate. function and cross-entropy loss function to make the fault image segmentation more accurate, and the DICE and IOU values obtained by the CBAM-TransUNet fault identification network on the synthetic seismic dataset are increased to 0.84 and 0.75, respectively, and the experimental results show that the continuity of the fault identification is stronger, which is obviously superior to other classical segmentation methods; finally, the constructed model is used to interpret the faults on the real seismic dataset of the F3 block of the North Sea, off the coast of the Netherlands. …”
Get full text

Dihydromyricetin attenuates age-related macular degeneration: pharmacological effects and exploration of putative targets by Hongyu Zhou, Jianhui Pang, Baiyang Wu, Yanan Zhuang, Shenjun Li, Jing Jiang, Jing Jiang

“…Subsequent PPI network construction and GO/KEGG enrichment analyses revealed these targets' involvement in biological processes such as angiogenesis and extracellular matrix organization.ConclusionIn conclusion, the present study demonstrates that DHM can mitigate AMD-related damage in both in vitro and in vivo models, while predicting putative targets and signaling pathways through which DHM may exert its effects against AMD. …”
Get full text

Integrating Forecasting Service and Gen2 Blockchain Into a Local Energy Trading Platform to Promote Sustainability Goals by Liaqat Ali, M. Imran Azim, Nabin Babu Ojha, Jan Peters, Vivek Bhandari, Anand Menon, Jemma Green, S. M. Muyeen

“…In this paper, a new local model is presented using a layer-2 scalability solution for second-generation (Gen2) blockchain technology to enable P2P trading among four types of participants: consumers, prosumers with solar photovoltaic (PV) systems, prosumers with solar PV systems and battery energy storage systems (BESSs), and electric vehicles (EVs). …”
Get full text

Three-Dimensional CKANs: UUV Noncooperative Target State Estimation Approach Based on 3D Convolutional Kolmogorov–Arnold Networks by Changjian Lin, Dan Yu, Shibo Lin

“…The incorporation of the Kolmogorov–Arnold representation within the convolutional layers enhances the network’s capacity for nonlinear expression and adaptability in processing spatial information. …”
Get full text

Enhancing the mechanical properties of 3D-Printed polylactic acid through pellet additive manufacturing: A grey relational analysis based on entropy weights by Radhika Mandala, B. Anjaneya Prasad, Suresh Akella

“…Hence, EGRA proves to be an effective potential tool for the optimization process in PAM.…”
Get full text

Plants have two minds as we do by Tomonori Kawano, Yoshiaki Ushifusa, Stefano Mancuso, Frantisek Baluška, Lucia Sylvain-Bonfanti, Delphine Arbelet-Bonnin, François Bouteau

“…While most known p-weighting mathematical models employed single functions, we propose a pair of Hill-type functions reflecting the collective behaviors of two types of automata corresponding to intuition (System 1) and rationality (System 2), as a metaphor to the natural light processing in layered plant leaves. …”
Get full text

AMST2: aggregated multi-level spatial and temporal context-based transformer for robust aerial tracking by Hasil Park, Injae Lee, Dasol Jeong, Joonki Paik

“…In this paper, we present a new approach for robust visual tracking using a transformer-based model that incorporates both spatial and temporal context information at multiple levels. …”
Get full text

Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery by Ruikang Luo, Yaofeng Song, Longfei Ye, Rong Su

“…In addition, due to the rapid development of deep neural network technology, image-based vehicle classification methods can better extract underlying objective features when processing data. Recently, several deep learning models have been proposed to solve this problem. …”
Get full text

Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach by Jing Peng, Yan Zhang, Mengyu Zheng, Yanyan Wu, Guizhen Deng, Jun Lyu, Jianming Chen

“…With the application of interdisciplinary approach, we aim to predict the changes of incisor and profile, while identifying significant predictors. Methods A three-layer back-propagation artificial neural network model (BP-ANN) was constructed to predict incisor and profile changes of 346 patients, they were randomly divided into training, validation and testing cohort in the ratio of 7:1.5:1.5. …”
Get full text

Unveiling the effect of bovine serum albumin on the corrosion resistance of high nitrogen stainless steel for cardiac stents by Shiyao Du, Hui Yan, Bingchun Zhang, Ao Tang, Ying Li

“…Most importantly, such an increased defects will further promote the dissolution process of both the passive film and HNS matrix according to point defect model (PDM), which will definitely undermine the protective ability of the passive film and eventually result in the declined corrosion resistance of HNS in BSA-contained solution.…”
Get full text

Simulation Analysis on the Mud Film Stability for Urban Slurry Shield Tunnel by ZHOU Yu, ZHANG Zhimin, XIONG Hao, CHEN Fan, HAN Kaihang, HUANG Mingfeng

“…Therefore, it is necessary to study the mud film stability of urban slurry shield tunnel to ensure the construction safety. Method A numerical model is developed to simulate the mud film formation and infiltration process under different permeability conditions by using the DEM-CFD (Discrete Element Method-Computational Fluid Dynamics) coupling method. …”
Get full text