Activity cliff-aware reinforcement learning for de novo drug design by Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang

“…ACARL’s primary technical contributions include the formulation of an activity cliff index to detect these critical points, and a contrastive RL loss function that dynamically enhances the generation of activity cliff compounds, optimizing the model for high-impact SAR regions. …”
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Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach by T. Savioli, M. Pampanini, G. Visani, L. Esposito, C. A. Rinaldini

“…Then, the volumetric efficiency calculated from the air mass flow model estimation is used to calibrate the transfer function of the Engine Control Unit. Finally, the sensitivity of the model error correlated with the number of data points acquired is used in order to determine the best practice for a Design Of Experiment, which minimizes data acquisition. …”
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About a Routing Problem of the Tool Motion on Sheet Cutting by A. A. Petunin, A. G. Chentsov, P. A. Chentsov

“…Cutting points and points of tool cut-off are items (cities) of the above-mentioned megalopolises. …”
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Cost-sensitive multi-kernel ELM based on reduced expectation kernel auto-encoder. by Liang Yixuan

“…ELM (Extreme learning machine) has drawn great attention due its high training speed and outstanding generalization performance. …”
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Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…This paper uses the method of tree kernel function to measure the similarity of two ontology trees. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…In addition, the error source of the robot mainly consists of parts machining, assembly positioning, and others, and it is proposed in this study that the 3‒PTT parallel robot contains a total of 21 error terms, hinge point installation coordination error, and link length error. …”
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Automated Microfluidic Platform for High‐Throughput Biosensor Development by Shitanshu Devrani, Daniel Tietze, Alesia A. Tietze

“…The platform's utility is demonstrated on functionalized with an amino terminal Cu(II)‐ and Ni(II)‐binding (ATCUN) peptide ion track‐etched membrane. …”
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Design process innovation through flexible and circular technological solutions by Antonella Violano, Monica Cannaviello

“…The goal of optimizing material resources and the polyvalent use of space lead to the development of new technologies within a renewed architectural spatiality, which from the point of view of effectiveness of choices allow for low-carbon buildings. …”
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Selective Multistart Optimization Based on Adaptive Latin Hypercube Sampling and Interval Enclosures by Ioannis A. Nikas, Vasileios P. Georgopoulos, Vasileios C. Loukopoulos

“…Numerical experiments on well-known benchmark functions demonstrate improvements in space coverage efficiency and enhanced local/global minimum identification. …”
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Identification for Active Vibration Control of Flexible Structure Based on Prony Algorithm by Xianjun Sheng, Yuanli Kong, Fengyun Zhang, Rui Yang

“…However, flexible structures exhibit the vibration in the process of manipulation, which reduces the pointing precision of the system and causes fatigue of the machine. …”
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Structural characteristics analysis of the hind wings in a bamboo weevil (Cyrtotrachelus buqueti) by Xin Li, Ce Guo

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Analysis of The Effect Evaporator Fan Rotation Variations on Air Blast Freezer Performance for Freezing Mango Puree by Wardika, Yudhy Kurniawan, Aa Setiawan

“…This process requires freezing technology such as an air blast freezer machine. The evaporator fan functions to prevent blocking of the evaporator fins and distribute cold air so that the room temperature reaches -18˚C. …”
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Efrigeration Systems using the Potential of night radiative cooling by A. P. Tsoi, A. V. Baranenko, A. S. Granovsky, I. A. Kim

“…As a result, the regularity of the change in the radiative cooling potential depending on the geographic latitude was determined, starting from the equator to the northernmost point of the continent. Schematic solutions and designs of refrigeration systems of various functional purposes for various regions with yearround use of radiative cooling have been developed. …”
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Interpretable Clustering Using Dempster-Shafer Theory by Aram Adamyan, Hovhannes Hovanesyan, Daniel Radrigan, Nelson Baloian, Ashot Harutyunyan

“…DSClustering aims to bridge this gap by assigning clusters based on belief functions from Dempster-Shafer theory, which allows it to generate rule-based explanations for each data point’s cluster assignment. …”
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Lactylation in cancer: Mechanisms in tumour biology and therapeutic potentials by Yipeng He, Tianbao Song, Jinzhuo Ning, Zefeng Wang, Zhen Yin, Pengcheng Jiang, Qin Yuan, Weimin Yu, Fan Cheng

“…By regulating gene transcription and protein function, lactylation facilitates metabolic reprogramming, enabling tumours to adapt to nutrient limitations and sustain rapid growth. …”
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Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning by Jian Li, Jian Lu, Hongkun Fu, Wenlong Zou, Weijian Zhang, Weilin Yu, Yuxuan Feng

“…Data analysis and parameter prediction were conducted using a variety of machine learning and deep learning models including Partial Least Squares (PLSs), Support Vector Machine (SVM), Random Forest (RF), and Long Short-Term Memory Networks (LSTM), among which the LSTM model demonstrated superior performance, particularly at multiple critical time points. …”
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Significant Wave Height Retrieval in Tropical Cyclone Conditions Using CYGNSS Data by Xiangyang Han, Xianwei Wang, Zhi He, Jinhua Wu

“…An enhanced loss function is employed to improve accuracy and mitigate the distribution bias in low-SWH retrieval induced by CDF matching. …”
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Research Progress and Current Status of Metal Cutting Fluid Technology by LUO Xiuyu, XIAO Shaowen, ZHAN Wen, LI Yingpeng

“…In recent years， with the rapid development of industries such as new energy vehicles， aerospace， and high-end equipment manufacturing， along with the integration of technologies like artificial intelligence and big data， machine tools are advancing toward higher levels of high-end，intelligent，and green technologies.Cutting fluids are essential for achieving efficient，precise，and low-cost metal cutting processes.However， with the rapid growth of the machinery manufacturing industry， the conflict between the low performance of traditional cutting fluids and the high-quality manufacturing requirements of core components has become increasingly evident.On the other hand， the green application and safe disposal of cutting fluids have become major obstacles to the green development of the industry.Therefore， addressing the series of issues associated with traditional cutting fluids is a critical research topic faced by both the machinery manufacturing industry and the environmental protection field.This paper took the limitations of traditional cutting fluids as the starting point， and organized the current research on cutting fluids from three dimensions: environmental protection， economy， and functionality.The latest research progress on lubrication and cooling mechanisms， process effects， and parameter optimization was reviewed， and the advantages and disadvantages of different cutting fluids， along with the issues encountered during their development， were analyzed.Finally， from the perspective of industrial practical applications， the paper provided an outlook on metal cutting fluids and offered theoretical insights and research directions for the functionalization and greenization of cutting fluid technology， aiming to promote the domestic substitution of cutting fluid technologies in China.…”
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Data-driven model discovery with Kolmogorov-Arnold networks by Shirin Panahi, Mohammadamin Moradi, Erik M. Bollt, Ying-Cheng Lai

“…Another approach is based on machine learning, e.g., deep neural networks, which excels at capturing system behavior from data but functions as black boxes, offering little insight into how inputs influence the outputs. …”
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IOT system architecture for the diagnosis of Parkinson's disease using neural networks and OSTIS by U. A. Vishniakou, I. W. Xia

“…Data is transmitted via a local Flask server, which acts as a channel for sending functional data to the Open Semantic Technology for Intelligent Systems (OSTIS) server. …”
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