Use of Biochar and Industrial Hemp for Remediation of Heavy-Metal-Contaminated Soil: Root Uptake and Translocations for Cd, Pb, and Zn by Sophie Sward, Kristofor R. Brye, David M. Miller, Dietrich V. Thurston

“…Phytoremediation has been reported as a more energy-efficient, and therefore cost-effective, method of environmental restoration compared to traditional remediation methods for heavy-metal-contaminated soils. …”
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Therefore, accurate permeability prediction is a vital step in developing an efficient field development plan, as it plays a pivotal role in the accurate distribution of 3D petrophysical properties throughout a reservoir. …”
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Occupational diseases in transport workers in the Arctic by Syurin S.A., Polyakova E.M., Kizeev A.N.

“…Introduction. Efficient functioning of the transport system is impossible without maintaining the health of the workers employed in it. …”
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Design, Implementation, and Deployment of an IoT Based Smart Energy Management System by M. Usman Saleem, M. Rehan Usman, Mustafa Shakir

“…As a proof of concept, the presented system is tested and implemented in 4 different buildings of a well-known private company in Pakistan, i.e., Stylo Pvt. …”
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Cloud-edge collaborative data anomaly detection in industrial sensor networks. by Tao Yang, Xuefeng Jiang, Wei Li, Peiyu Liu, Jinming Wang, Weijie Hao, Qiang Yang

“…Industrial sensor networks exhibit heterogeneous, federated, large-scale, and intelligent characteristics due to the increasing number of Internet of Things (IoT) devices and different types of sensors. Efficient and accurate anomaly detection of sensor data is essential for guaranteeing the system's operational reliability and security. …”
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Direct Collapse Accretion Disks within Dark Matter Halos: Saturation of the Magnetorotational Instability and the Field Expulsion by Yang Luo, Isaac Shlosman

“…This disk differs profoundly from SMBH accretion disks. We find the following: (1) The accretion disk is subject to the magnetorotational instability, which further amplifies the field to near equipartition. …”
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Early and Late Fusion for Multimodal Aggression Prediction in Dementia Patients: A Comparative Analysis by Ioannis Galanakis, Rigas Filippos Soldatos, Nikitas Karanikolas, Athanasios Voulodimos, Ioannis Voyiatzis, Maria Samarakou

“…These findings provide significant information on multimodal fusion strategies and their applicability in the detection of aggressive behavior, which can contribute to the development of efficient monitoring systems for dementia care.…”
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Methods of security situation prediction for industrial internet fused attention mechanism and BSRU by Xiangdong HU, Zhengguo TIAN

“…The security situation prediction plays an important role in balanced and reliable work for industrial internet.In the face of massive, high-dimensional and time-series data generated in the industrial production process, traditional prediction models are difficult to accurately and efficiently predict the network security situation.Therefore, the methods of security situation prediction for industrial internet fused attention mechanism and bi-directional simple recurrent unit (BSRU) were proposed to meet the real-time and accuracy requirements of industrial production.Each security element was analyzed and processed, so that it could reflect the current network state and facilitate the calculation of the situation value.One-dimensional convolutional network was used to extract the spatial dimension features between each security element and preserve the temporal correlation between features.The BSRU network was used to extract the time dimension features between the data information and reduced the loss of historical information.Meanwhile, with the powerful parallel capability of SRU network, the training time of model was reduced.Attention mechanism was introduced to optimize the correlation weight of BSRU hidden state to highlight strong correlation factors, reduced the influence of weak correlation factors, and realized the prediction of industrial internet security situation combining attention mechanism and BSRU.The comparative experimental results show that the model reduces the training time and training error by 13.1% and 28.5% than the model using bidirectional long short-term memory network and bidirectional gated recurrent unit.Compared with the convolutional and BSRU network fusion model without attention mechanism, the prediction error is reduced by 28.8% despite the training time increased by 2%.The prediction effect under different prediction time is better than other models.Compared with other prediction network models, this model achieves the optimization of time performance and uses the attention mechanism to improve the prediction accuracy of the model under the premise of increasing a small amount of time cost.The proposed model can well fit the trend of network security situation, meanwhile, it has some advantages in multistep prediction.…”
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Endophytic bacteria enhance the growth and salt tolerance of rice under saline conditions by Quang Trung DO, Anh The LUU, Tien Chuong NGO

“…More experiments should be done to develop endophytic bacteria ST.6 and ST.8 as efficient bio-inoculants.…”
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WHU-RuR+: A benchmark dataset for global high-resolution rural road extraction by Ningjing Wang, Xinyu Wang, Yang Pan, Wanqiang Yao, Yanfei Zhong

“…Efficient and accurate extraction of road networks from high-resolution satellite images is essential for urban planning, construction, and traffic management. …”
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SMANet: A Model Combining SincNet, Multi-Branch Spatial—Temporal CNN, and Attention Mechanism for Motor Imagery BCI by Danjie Wang, Qingguo Wei

“…Thereafter, the outputs of the MBSTCNN are concatenated and then passed through an efficient channel attention (ECA) module to enhance local channel feature extraction and calibrate feature mapping. …”
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Paddy seeds bacterization with ACC deaminase producing endophyte Alcaligenes faecalis SSP8 regulates physiology, leaves gas exchange parameters, PSII photochemistry and antioxidant... by Shobhit Raj Vimal, Jay Shankar Singh, Sheo Mohan Prasad

“…The strain SSP8 was selected for experimental study as it efficiently tolerate NaCl (0–1200 mM), produced Indole-3-acetic acid (IAA) (46 μg mL-1) and 1-amino-1-cyclopropane-1-carboxylate (ACC) deaminase (176.70 nmol α-ketobutyrate mg-1 protein h-1). …”
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Thermogravimetric analysis of rice husk and low-density polyethylene co-pyrolysis: kinetic and thermodynamic parameters by Divya Bisen, Ashish Pratap Singh Chouhan, Anil Kumar Sarma, Sakthivel Rajamohan, P. V. Elumalai, Dhinesh Balasubramanian, Aschalew Cherie

“…These tests were carried out in the presence of a nitrogen environment at a flow rate of 20 ml/min with a different heating rate of 10 to 40 °C/min from 30 to 600 °C.In this paper, activation energy (Ea) was measured using the integral method (coats and Redfern) and two distinct iso-conversional approaches are Flynn wall Ozawa (FWO) and Kissinger Akahira Sunose (KAS). …”
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Pear Fruit Detection Model in Natural Environment Based on Lightweight Transformer Architecture by Zheng Huang, Xiuhua Zhang, Hongsen Wang, Huajie Wei, Yi Zhang, Guihong Zhou

“…Meanwhile, Xinli No. 7 fruit data set with different environmental conditions is established. …”
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Numerical Analysis of Leakage and Diffusion Characteristics of In-Situ Coal Gas with Complex Components by Enbin Liu, Lianle Zhou, Ping Tang, Bo Kou, Xi Li, Xudong Lu

“…Afterward, the diffusion law of in-situ coal gas is analyzed and studied under different working conditions, such as wind speed, temperature, pipe diameter, leakage direction, and leakage aperture ratio. …”
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Weather identification using models based on deep learning by Afroza Nahar, Rifat Al Mamun Rudro, Bakhtiar Atiq Faisal, Md. Faruk Abdullah Al Sohan, Laveet Kumar

“…The operation of each model is distinct. Models like EfficientNetB7, ResNet, MobileNet, VGG19, Xception Inception, ResNetV2, and VGG16 employ a combination of image classification and deep learning models to predict the weather. …”
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A real-time framework for opinion spam detection in Arabic social networks by Cherry A. Ezzat, Abdullah M. Alkadri, Abeer Elkorany

“…The proposed framework achieved macro-F1 scores for spam detection ranging from 91% to 99% on different Arabic datasets surpassing previous work. …”
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Research on High-Resolution Modeling of Satellite-Derived Marine Environmental Parameters Based on Adaptive Global Attention by Ruochu Cui, Liwen Ma, Yaning Hu, Jiaji Wu, Haiying Li

“…The AGA mechanism dynamically adjusts the weights of different regions in feature maps, enabling the model to focus more on critical spatial features and channel features. …”
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Fluid-structure-soil interaction study for nuclear facilities with large pool water considering nonlinear structural behavior by Yuki SATO, Dan Mircea GHIOCEL, Shunji KATAOKA, Yasutomi MORIMOTO

“…This paper presents an efficient seismic analysis method for considering FSSI using 3D FEM for deeply embedded typical RC (Reinforced Concrete) shear wall nuclear buildings. …”
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Detection of mixed infection from bacterial whole genome sequence data allows assessment of its role in Clostridium difficile transmission. by David W Eyre, Madeleine L Cule, David Griffiths, Derrick W Crook, Tim E A Peto, A Sarah Walker, Daniel J Wilson

“…Close genetic relationships between microorganisms isolated from different infected cases suggest transmission is a strong possibility, whereas transmission between cases with genetically distinct bacterial isolates can be excluded. …”
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