Research on Path Tracking Technology for Tracked Unmanned Vehicles Based on DDPG-PP by Yongjuan Zhao, Chaozhe Guo, Jiangyong Mi, Lijin Wang, Haidi Wang, Hailong Zhang

“…Based on the optimal look-ahead distance output from the upper layer, the lower layer realizes precise closed-loop control of torque, required for steering, based on the PP method. …”
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Spatial variability of physical atributes of a Spodosol and sugarcane yield by Diego H. S. de Souza, Ênio F. de F. e Silva, Antonio Paz-González, Glécio M. Siqueira, Jucicléia S. da Silva, Daniel da C. Dantas

“…Soil sampling and crop yield evaluations were performed at 90 randomly chosen points in the experimental area. Disturbed and undisturbed samples were collected in the soil layers of 0.00-0.20 and 0.20-0.40 m to analyze the attributes: particle size, bulk density, field capacity, total porosity, macroporosity and microporosity. …”
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Research on an Eye Control Method Based on the Fusion of Facial Expression and Gaze Intention Recognition by Xiangyang Sun, Zihan Cai

“…However, it is found that the accuracy of the current single-modal eye control technology is still not high, which is mainly caused by the inaccurate eye movement detection caused by the high randomness of eye movements in the process of human–computer interaction. …”
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EFFECT OF MAGNETIC AND QUALITY OF IRRIGATION WATER IN MEAN WEIGHT DIAMETER AND AGGREGATION INDEX FOR CLAY LOAM SOIL DURING GROWTH STAGES OF BARLEY CROP by K. A. AL-Mosawi, S. S. Al-Hadi

“…The order of the effect of treatments on the mean weight diameter and aggregation index is WW >TW >WWT >MW >RW for both layers. The results showed that the values of both parameters increased as  growth season progress and layer 0-30 cm surpassed layer of 30-60 cm. …”
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Exploration of machine learning techniques for cloud removal and gap filling on sentinel-2 time series images for better exploitation in far North Cameroon by Joseph Ngono Mvogo, Woguia Auguste Vigny Noumsi, Pountianus Berinyuy Wirba

“…The cloud-covered and cloud-free regions are analyzed using a variety of machine learning methods, such as Random Forest, VGG16 with Random Forest, VGG with dense layers, VGG16 with image data augmentation, SVM, and deep learning CNN models. …”
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Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. …”
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Simultaneously achieving high-κ and strong ferroelectricity in Hf0.5Zr0.5O2 thin film by structural stacking design by Yuchen Wang, Jiachen Li, Hansheng Zhu, Haifeng Bu, Xinzhe Du, Shengchun Shen, Yuewei Yin, Xiaoguang Li

“…Furthermore, the incorporation of an Al2O3 layer leads to a low leakage current density (<10−7 A/cm2 at 0.65 V) and high dielectric endurance over 1013 cycles (operating voltage ∼0.5 V). …”
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Data-driven modeling of environmental factors influencing Arctic methanesulfonic acid aerosol concentrations by J. B. Pernov, J. B. Pernov, W. H. Aeberhard, M. Volpi, E. Harris, E. Harris, B. Hohermuth, S. Ishino, R. B. Skeie, S. Henne, U. Im, P. K. Quinn, L. M. Upchurch, L. M. Upchurch, J. Schmale

“…., dimethyl sulfide (DMS) emission, temperature, radiation, cloud cover, precipitation) for use in two data-driven models: a random forest (RF) regressor and an additive model (AM). …”
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Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning by Jingjing Liu, Chang Liu, Zhangdaihong Liu, Yibin Zhou, Xiaoguang Li, Yang Yang

“…., eXtreme Gradient Boosting (XGBoost), Random Forest (RF), Decision Tree (DT), LightGBM, and Multi-Layer Perceptron (MLP)). …”
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Simulation study on optimization of smoke control and exhaust strategies for networked underground tunnel groups by Ruinan AN, Peng LIN, Yong XIA, Xin Wang, Weifeng ZHANG, Chao ZHANG, Shuai ZHANG

“…Due to the multiple and random fire causes, high temperature of smoke gathering at the top of the enclosed space, multipath rapid propagation, and disorganization of the ventilation system due to the smoke flows, the fire condition is expanded accidentally. …”
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A new gridded offshore wind profile product for US coasts using machine learning and satellite observations by J. Frech, J. Frech, K. Saha, K. Saha, P. D. Lavin, P. D. Lavin, H.-M. Zhang, J. Reagan, B. Fung

“…Gridded maps of wind profiles in the marine boundary layer over US coastal waters will enable the development of a suite of wind energy resources and will help stakeholders in their decision-making related to wind-based renewable energy development.…”
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Dietary copper and L-arginine: influence on pullet maturation and productivity by Hasan Rouhanipour, Omid Ashayerizadeh, Seyed Davood Sharifi, Behrouz Dastar

“…A total of 360 Hy-Line W-80 white layer-type pullets (13-week-old) were used in two test periods: the first period (developer) from the age of 13-15 weeks, and the second period (pre-layer) from the age of 16-17 weeks. …”
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Solitary rectal ulcer syndrome: MRI findings and differentiation from rectal cancer by Peiyi Xie, Xiaoying Lou, Shuai Fu, Xiaohui Di, Qitong Huang, Zhiming Zeng, Kexin Niu, Junying Zhu, Meiyu Hu, Xiaochun Meng

“…The clinical and MRI findings of SRUS patients were summarized. We randomly selected 120 rectal cancer patients with ≤ T2N0 pathological staging in a 1:4 ratio of SRUS to rectal cancer cases to perform differential diagnosis analysis. …”
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The Quality of Sexed Bali Bull Semen Using Percoll Density Gradient Centrifugation in Various Gradients with Tris Aminomethane Diluent by Nanda Ayu Rahmawati, Aulia Puspita Anugra Yekti, Aditiya Wahyudi, Fardha Ad Durrun Nafis, Nurul Isnaini, Trinil Susilawati

“…The analysis showed that the gradient variations significantly impact the individual motility on the bottom layer of sexed semen (P<0.05). Conversely, gradient variance did not affect viability, abnormality, concentration, total motile spermatozoa, and individual motility on the top layer of sexed semen (P>0.05). …”
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Dementia Classification Based on Magnetic Resonance Scans Comparing Traditional and Modern Machine Learning Models’ Quintessence by Andreea POPOVICIU, Diogen BABUC, Todor IVAŞCU

“…The tested models include a few-layers Convolutional Neural Network (CNN), a Residual Neural Network (ResNet), a Vision Transformer (ViT), an Autoencoder, and the Random Forest actions, and their training was conducted in Google Colab on an Intel Xeon CPU with 2 vCPUs and above 10 GB RAM. …”
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Saline-sodic soil treated with gypsum, organic sources and leaching for successive cultivation of sunflower and rice by Petrônio D. dos Santos, Lourival F. Cavalcante, Hans R. Gheyi, Geovani S. de Lima, Everaldo M. Gomes, Francisco T. C. Bezerra

“…The treatments were distributed in four randomized blocks and the soil was subjected to continuous leaching for 50 days and evaluated for salinity, sodicity and alkalinity before and after leaching, as well after sunflower and rice cultivation, in the 0-0.20 and 0.20-0.40 m layers. …”
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Chemical and physical changes in an Argisol under agrosilvopastoral system in Votuporanga, São Paulo State, Brazil by Wander Luis Barbosa Borges, Isabela Malaquias Dalto de Souza, Vanda Aparecida Bazzo

“…It was concluded that in the layer of 0-0.05m, the intermediate management provided increase in the levels of organic matter, Ca, P and K and the basic management provided lower levels of Ca and lower pH and basis saturation values and higher potential acidity; the complete and intermediate managements provided raising the pH in the two layers evaluated; the use of liming associated with gypsum application improves the chemical characteristics of Argisols under agrosilvopastoral systems; in the layer of 0.05-0.20 m the basic management provided lower bulk density and the complete management the largest; the different managements did not differ with respect to porosity and aggregate stability.…”
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Microstructure and Mechanical Property of Hot-Pressed Al2O3-Ni-P Composites Using Ni-P-Coated Al2O3 Powders by Hyeong-Chul Kim, Jae-Kil Han

“…The as-received Al2O3-Ni-P composite powders were composed of Ni-P particles and Ni-P coating layer. Some Ni-P particles randomly adhered to the Al2O3 powders, and their particle diameter ranged from 5 nm to 20 nm. …”
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Effects of Laurus nobilis Leaf Extract on Healing of Experimentally Induced Wounds in Rabbits by Omar Tariq Hammoodi, Majid A. Alkhilani, Wissam Abdullah Alhayani, Waleed Al-Nuaimy, Ali A. Tala’a

“…Twenty-four healthy rabbits were used, divided randomly into control and treated groups, each consisting of 12 rabbits. …”
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Long-Term Effect of Crop Rotation and Fertilisation on Bioavailability and Fractionation of Copper in Soil on the Loess Plateau in Northwest China. by Yifei Zang, Xiaorong Wei, Mingde Hao

“…A field experiment was conducted in randomized complete block design to determine the bioavailability and distribution of Cu fractions in a Heilu soil (Calcaric Regosol) after 18 years of rotation and fertilisation. …”
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