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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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…In this method, the number of membership functions is 5 functions representing very low, low, medium, high and very high. …”
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Research on Spatial Distribution, Accessibility and Resource Equity of Compulsory Education Schools in Megacities: A Case Study of Wuhan by Wei Ping, Huang Jing, Yan Jiaqin, He Sanwei

“…Therefore, it is suggested that the future layout for compulsory education in Wuhan should be combined with regional functions, population size, and educational needs to strengthen the forward-looking allocation of educational resources and land use planning in the remote urban areas, optimize the educational layout of functional areas to adapt to population growth and enhance accessibility, and build a balanced system of teacher resource allocation to promote the high-quality and integrated development of compulsory education. …”
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Correlators in non-conformal N $$ \mathcal{N} $$ = 2 gauge theories from localization by M. Billò, L. Griguolo, A. Lerda, A. Testa

“…Abstract We study two-point correlation functions of chiral/anti-chiral operators in SU(N) N $$ \mathcal{N} $$ = 2 gauge theories with massless hyper-multiplets in a representation R $$ \mathcal{R} $$ associated with a non-vanishing β-function. …”
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Into the Deep End: From Madness-as-Strategy to Madness-as-Right by Miguel Núñez de Prado-Gordillo

“…This contrasts with the dominant view in 20th- and 21st-century psychiatry, madness-as-dysfunction, which understands madness as a failure of function. The paper provides a critical analysis of the notion of madness-as-strategy as a political tool, pointing out its main virtues and limitations in terms of Garson’s overarching political project: to carve out the conceptual landscape of madness in ways that pay tribute to mad people’s own perspectives. …”
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CFR-YOLO: A Novel Cow Face Detection Network Based on YOLOv7 Improvement by Guohong Gao, Yuxin Ma, Jianping Wang, Zhiyu Li, Yan Wang, Haofan Bai

“…With the rapid development of machine learning and deep learning technology, cow face detection technology has achieved remarkable results. …”
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First Main Problem of the Theory of Elasticity for a Layer with Two Thick-Walled Pipes and One Cylindrical Cavity by Oleksandr Yu. Denshchykov

“…Structures that are fixed on cylindrical inclusions are among the most common ones in machine and aircraft construction. Some of these inclusions can be modeled as thick-walled pipes with specified stress values on the inner surface. …”

Structural Biology in the AlphaFold Era: How Far Is Artificial Intelligence from Deciphering the Protein Folding Code? by Nicole Balasco, Luciana Esposito, Luigi Vitagliano

“…We then describe the recent advent and evolution of predictive approaches based on machine learning techniques that are revolutionizing the field by pointing out the potentialities and limitations of this approach. …”
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Experimental Investigation and Optimization of Tool Life in High-Pressure Jet-Assisted Turning of Inconel 718 by Davorin Kramar, Djordje Cica

“…In the main experiment, tool life was investigated as a function of various high-pressure-jet parameters (nozzle diameter, distance between the point of impact of the jet and the cutting edge and pressure of the jet) and basic cutting parameters (cutting speed and feed rate). …”
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Method of continuous generation grinding tooth surface modification based on electronic gearbox superimposed high-order motion by HAN Jiang, RUI Xiaoyu, TIAN Xiaoqing, YOU Tongfei, LI Guanghui, XIA Lian

“…Using the normal deviation between the standard involute gear surface and the actual machined gear surface grid points as the evaluation criterion, the Levenberg-Marquardt algorithm was used to optimize the polynomial coefficients of the motion functions of each feed axis of the grinding wheel. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Next, a lightweight convolutional module, ghost shuffle convolution (GSConv), is introduced into the feature fusion network to reduce the network’s parameter count while maintaining a certain level of detection accuracy. Finally, the loss function is optimized by adopting IoU with minimum points distance (MPDIoU) to address issues such as small sizes and dense distributions. …”
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Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves by Gabriel Pino, José Roberto Ribas, Luciana Fernandes Guimarães

“…This happens due to more frequent operation in transient states, which means being outside the service point of the machines’ nominal condition, consisting of speed, flow, and gross head. …”
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Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation by Muhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, Ki Moo Lim

“…We employed the Markov chain Monte Carlo method to generate a detailed dataset for 28 drugs, from which twelve in-silico biomarkers of 12 drugs were computed to train various machine learning models, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Random Forests (RF), XGBoost, K-Nearest Neighbors (KNN), and Radial Basis Function (RBF) networks. …”
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MULTIMODAL APPROACH TO THE STUDY OF SPECIALIZED TEXTS IN TECHNICAL DISCOURSE by Yuliia V. Polycheva, Volodymyr I. Vetokhin

“…Therefore, the analysis of non-verbal means in technical texts makes it possible to single out their main functions. Each non-verbal tool has its own function, but often these functions are intertwined due to the combination of elements. …”
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Primary Effect of SERCA2a Gene Transfer on Conduction Reserve in Chronic Myocardial Infarction by Lukas J. Motloch, Marine Cacheux, Kiyotake Ishikawa, Chaoqin Xie, Jun Hu, Jaume Aguero, Kenneth M. Fish, Roger J. Hajjar, Fadi G. Akar

“…Background SERCA2a gene transfer (GT) improves mechano‐electrical function in animal models of nonischemic heart failure Whether SERCA2a GT reverses pre‐established remodeling at an advanced stage of ischemic heart failure is unclear. …”
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Head Horn Enhances Hydrodynamic Perception in Eyeless Cavefish by Zhiqiang Ma, Zheng Gong, Yonggang Jiang, Peng Wu, Changxin You, Zihao Dong, Hongchao Cao, Zhen Yang, Yahui Zhao, Huawei Chen, Deyuan Zhang

“…Furthermore, the eyeless cavefish model has ≈17% higher obstacle recognition accuracy and lower cost (time and sensor number) than eyed cavefish model is conceptually demonstrated, by incorporating with machine learning. This study provides novel insights into form‐function relationships in eyeless cavefish, in addition paves the way for optimizing sensor arrangement in fish robots and underwater vehicles.…”
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Reconfigurable and Highly-Miniaturized Low-Noise Amplifiers Based on Tunable Filtering Loads by Andres Fontana, Steven Matthew Cheng, Dimitra Psychogiou

“…The proposed LNAF concepts are based on complex-terminated bandpass filter (BPF)-type output matching networks that facilitate quasi-elliptic transfer functions that can be tuned in terms of bandwidth (BW), center frequency (<inline-formula> <tex-math notation="LaTeX">$f_{cen}$ </tex-math></inline-formula>), and can be intrinsically switched-off. …”
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Application of 3D printing technology to the components subjected to significant mechanical loads, using the example of a prosthetic climbing foot prototype by Kamil Warchoł, Monika Szuba, Anna Kopeć, Adam Martowicz, Jakub Bryła

“…The final step of the study was to subject the prosthesis to a cyclic bending test on a dynamic testing machine equipped with a newly-designed adapter. The functionality of the fabricated component was also confirmed on a climbing wall, under controlled conditions of use. …”
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