An investigation on the feasibility of using mixed Reversible ionic liquids for extraction of Kerogen from oil shale by Khalid Farhod Chasib

“…Keywords: Kerogen, Oil shale, Reversible ionic liquids, Extraction efficiency, Hydrogen bond basicity…”
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An Evaluation of the Predatory Function of <i>Orius strigicollis</i> (Poppius) (Hemiptera: Anthocoridae) on <i>Megalurothrips usitatus</i> (Bagnall) (Thysanoptera: Thripidae) by Zuying Fu, Yuanrun Cheng, Yifan Cui, Changyu Xiong, Ziyu Cao, Ying Wang, Rong Zhang, Chang Liu, Wei Sun, Liping Ban, Yao Tan, Shuhua Wei

“…To understand the predatory function and biological control potential of <i>O. strigicollis</i> on <i>M. usitatus</i>, the predatory ability of adults of <i>O. strigicollis</i> on second-instar larvae and adults of <i>M. usitatus</i> was measured under indoor conditions, and the Holling II and Hassell–Varley models were fitted to calculate the predatory function response, search efficiency, intraspecific interference, and predation preference of <i>O. strigicollis</i> on second-instar larvae and adults of <i>M. usitatus</i>. …”
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Design of intelligent energy management system for electric vehicles based on multi-objective optimization by Xinyan Wang, Yichao Li

“…Additionally, the system exhibited an average acceleration time of 5.38 s and an average hill climbing ability of 25.91%. These outcomes demonstrate the effectiveness of the proposed EMS in optimizing power, extending battery life, and improving energy utilization efficiency. …”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…To enhance MSCNN’s feature extraction ability, computational efficiency, and model robustness, this study conducts an in-depth investigation of these architectural deficiencies and proposes corresponding improvements. …”
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Improved satellite resource allocation algorithm based on DRL and MOP by Pei ZHANG, Shuaijun LIU, Zhiguo MA, Xiaohui WANG, Junde SONG

“…In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource allocations in multi-beam satellite systems,a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance and user satisfaction degree.With considering the normalized weighted sum of spectrum efficiency,energy efficiency,and satisfaction index as the optimization goal,the dynamically changing system environments and user arrival model were built by the proposed algorithm,and the optimization of the accumulative performance in satellite systems based on DRL and MOP was realized.Simulation results show that the proposed algorithm can solve the MOP problem with rapid convergence ability and low complexity,and it is obviously superior to other algorithms in terms of system performance and user satisfaction optimization.…”
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Embedded system for a bioreactor: application to sugar fermentation by Danilo Paredes, Gonzalo Alvarez, Mauren Fuentes Mora, Ramiro Sanchez

“…The focus of this project is on the development and implementation of an embedded system to improve the control and efficiency of a bioreactor. The advantages of this system are examined, highlighting its ability to monitor in real time, ensure accuracy and stability, provide flexibility, enable remote monitoring and telemetry, as well as its potential scalability and cost-effectiveness. …”
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TWO-STAGE INTELLIGENT FAULT DIAGNOSIS OF MOTORS BASED ON VISUAL IMAGE FEATURES

“…Aiming at the new challenges in efficiency and reliability in the field of fault diagnosis in recent years,a coarsefine fault diagnosis method for induction motors based on the symmetrized dot pattern(SDP)was proposed.In this method,firstly,the vibration signals of each faulty motor were converted into snowflake images by SDP method,and then a two-stage fault diagnosis framework of coarse-fine classification was designed for image feature extraction and classification.In the coarse classification stage,the color histogram features and the support vector machine(SVM)were used to diagnose the samples,and a threshold was selected to determine the samples for the coarse classification.In the fine classification stage,Gist features that can extract image details and SVM were used to diagnose the remaining samples.Experimental results show that the proposed method combines the advantages of color histogram features and Gist features,can achieve the most reliable diagnosis with relatively high efficiency,and has certain anti-noise ability.…”
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Combining meta reinforcement learning with neural plasticity mechanisms for improved AI performance. by Liu Liu, Zhifei Xu

“…The results show that the MRL-STDP approach significantly accelerates the agent's ability to reach competitive performance levels, with a 40% boost in learning efficiency and a 35% increase in adaptability over conventional models.…”
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Graph Crypto-Stego System for Securing Graph Data Using Association Schemes by Anuradha Sabharwal, Pooja Yadav, Kamal Kumar

“…We implemented and evaluated the efficiency of our constructions experimentally. We provide experimental results, statistical analysis, error analysis, and key analysis that demonstrates the appropriateness and efficiency of the proposed technique.…”
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Classification of landscape architecture design based on dual-channel attention improved FCN by Zhongyu Zhou

“…To solve the problems of low efficiency and high subjectivity of traditional design, the study proposes an improved fully convolutional network model that combines the U-Net structure, multi-scale hopping connection network, and dual-channel attention mechanism to enhance the ability of detail capture and feature fusion. …”
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CrossModal Retrieval with Deep Learning by WANG Hongzhi, YAN Yu

“…To improve the efficiency of crossmodal data retrieval under big data, the authors studied the theory of deep learning and proposed a crossmodal data retrieval model on the basis of the artificial convolutional neural network and the perceptron. …”
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Multi-server conjunctive keyword searchable encryption scheme based on BDH problem by Yanhua LU, Youliang TIAN, Chen LIU

“…Searchable encryption is a cryptographic primitive that supports users to search for keywords on ciphertext.In view of the low efficiency of traditional single-server searchable encryption schemes,it was based on the advantages of identity management in certificate management.In the multi-serve environment,a bilinear mapping was used to construct an identity-based encryption scheme that supports conjunctive keyword search.In this scheme,the storage and query of the encrypted data were allocated to different servers,and the retrieval efficiency of the user storage and keyword was improved by cooperation.Re-use the encryption and search ability of the connection keywords by using the identity of multi-server and user.At the same time,combine with the searchable encryption method of conjunctive keyword,a new security model was constructed based on bilinear pairing.And under the bilinear Diffie-Hellman problem,the scheme satisfies the ciphertext indistinguishability under selected message attack.…”
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A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe

“…PCM-DE also demonstrated rapid convergence, superior robustness with the lowest standard deviations (e.g., 3.54E−16 for Nedstack 600 W PS6), and the highest computational efficiency, with runtimes as low as 0.191303 s. These numerical results emphasize PCM-DE’s ability to outperform existing algorithms in accuracy, convergence speed, and consistency, showcasing its potential for advancing PEMFC modeling and optimization. …”
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Eco-friendly approach to corrosion inhibition of aluminum by Congo red dye in alkaline media: Experimental assessment, QSAR modeling, diffusion studies, and DFT/MC/MD simulations by Ayoub Chahid, Said Meftah, Mohamed Essahli, Mohammed Chafi, Rachid Kellal, Driss Benmessaoud Left, Mustapha Zertoubi

“…Weight loss measurements showed a maximum inhibition efficiency of 87.5 % at 1200 ppm, with decreased efficiency at higher temperatures, indicating a physical adsorption mechanism. …”
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Comparative analysis of lithium-iron-phosphate and sodium-ion energy storage devices by Huthaifa A. Al_Issa, Mohamed Qawaqzeh, Lina Hani Hussienat, Ruslan Oksenych, Oleksandr Miroshnyk, Oleksandr Moroz, Iryna Trunova, Volodymyr Paziy, Serhii Halko, Taras Shchur

“…Particular attention will be paid to their durability, energy efficiency, materials from which they are made, and technical characteristics. …”
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BRA-YOLOv7: improvements on large leaf disease object detection using FasterNet and dual-level routing attention in YOLOv7 by Rong Ye, Rong Ye, Quan Gao, Quan Gao, Tong Li, Tong Li

“…BRA-YOLOv7 incorporates PConv and FasterNet as replacements for the original network structure of YOLOv7, reducing the number of floating-point operations and improving efficiency. In the Neck layer, a dual-level routing dynamic sparse attention mechanism is introduced to enable flexible computation allocation and content awareness, enhancing the model’s ability to capture global information about tea leaf diseases. …”
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Engineering Stepped Structures on Hydroxyapatite Surfaces: A Potential Strategy to Modulate Bone Marrow Mesenchymal Stem Adhesion, Spreading, and Proliferation by Yongmei Wang, Fang Wang, Min Gong, Lidan Chen, Yun Wang, Pu Xu, Zhu Zeng, Zuquan Hu, Jin Chen

“…Given that YAP is a key mechanical sensitive factor, and its nuclear translocation is closely tied to cytoskeletal reorganization, the nuclear translocation efficiency of YAP has been investigated. The results showed that a changed cell adhesion could affect the nuclear translocation efficiency of YAP, which would be an important reason for the change in proliferation and differentiation ability of BMSCs. …”
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Nitrogen-Fixing <i>Paenibacillus haidiansis</i> and <i>Paenibacillus sanfengchensis</i>: Two Novel Species from Plant Rhizospheres by Weilong Zhang, Miao Gao, Rui Hu, Yimin Shang, Minzhi Liu, Peichun Lan, Shuo Jiao, Gehong Wei, Sanfeng Chen

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Engineering n-Type and p-Type BiOI Nanosheets: Influence of Mannitol on Semiconductor Behavior and Photocatalytic Activity by Shuo Yang, Wenhui Li, Kaiyue Li, Ping Huang, Yuquan Zhuo, Keyan Liu, Ziwen Yang, Donglai Han

“…Photocatalytic technology holds significant promise for sustainable development and environmental protection due to its ability to utilize renewable energy sources and degrade pollutants efficiently. …”
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Phenotyping drought stress tolerance in citrus rootstocks using high-throughput imaging and physio-biochemical techniques by Amrut Sanjay Morade, Radha Mohan Sharma, Anil Kumar Dubey, Lekshmy Sathee, Sudhir Kumar, Darshan Manikrao Kadam, Om Prakash Awasthi, Amrender Kumar, Deepak Yadav

“…The drought tolerance of X639 was evidenced by its ability to maintain plant tissue moisture, membrane and chlorophyll stability, and higher photosystem II efficiency. …”
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