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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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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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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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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A Novel Method of Self-Healing Concrete to Improve Durability and Extend the Service Life of Civil Infrastructure by Yan Xue, Weiliang Gao, Yanming Zhao

“…Subsequently, the predicted regression functions for concrete durability are utilized as fitness functions, and the improved NSGA-II algorithm is employed to obtain the optimal mix ratio for durable concrete. …”
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It Is Useless to Resist: Biofilms in Metalworking Fluid Systems by Giulia von Känel, Lara Ylenia Steinmann, Britta Mauz, Robert Lukesch, Peter Küenzi

“…The implications of this finding are unclear but could provide a starting point for the treatment of biofouling, as biofilm population structure might be of importance. …”
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Full-scale insight into high-entropy ceramics from basic concepts, synthesis technologies, structural characteristics, and properties to application prospects by Yunlei Wang, Jie Zhang, Taibin Wu, Guangjie Huang

“…High-entropy ceramics (HECs) are an emerging material system that has gained significant attention and become a focal point of research due to their unique structure and outstanding performance. …”
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Relevance-Based Reconstruction Using an Empirical Mode Decomposition Informer for Lithium-Ion Battery Surface-Temperature Prediction by Chao Li, Yigang Kong, Changjiang Wang, Xueliang Wang, Min Wang, Yulong Wang

“…Initially, based on 9000 data points from the U.S. NASA Prognostics Center of Excellence’s random battery-usage dataset, where each data point includes three features: temperature, voltage, and current, EMD is used to decompose the temperature data into intrinsic mode functions (IMFs). …”
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Brokel: Towards enabling multi-level cloud elasticity on publish/subscribe brokers by Vinicius Facco Rodrigues, Ivam Guilherme Wendt, Rodrigo da Rosa Righi, Cristiano André da Costa, Jorge Luis Victória Barbosa, Antonio Marcos Alberti

“…Users, things, and applications use Brokel as a centralized messaging service broker, but in the back-end the middleware provides better performance and cost (used resources × performance) on message delivery using virtual machine (VM) replication. Our scientific contribution regards the multi-level, orchestrator, and broker, and the addition of a geolocation domain name system service to define the most suitable entry point in the Pub/Sub architecture. …”
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Inclusion-Based Model: Calculating Tooth Root Bending Strength Considering Steel Cleanliness by Christian Eggert, Dieter Mevissen, Christian Westphal, Christian Brecher

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Mean-Field-Type Transformers by Hamidou Tembine, Manzoor Ahmed Khan, Issa Bamia

“…To distinguish a global minimum from other extrema—such as local minima, local maxima, global maxima, and saddle points—alternative methods that exploit hidden convexities of anti-derivatives of activation functions are required. …”
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