Waveguide Quantum Electrodynamics: Tryptophans Entangled with Water as Data Qubits in a Microtubule by Akihiro Nishiyama, Shigenori Tanaka, Jack Adam Tuszynski

“…In this paper, we introduce waveguide Quantum Electrodynamics (wQED) for the description of tryptophans in microtubules representing data qubits for information storage and, possibly, information processing. …”
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Improving SVM performance through data reduction and misclassification analysis with linear programming by Carlos Aníbal Suárez, Mauricio Castro, Mariuxi Leon, Carlos Martin-Barreiro, Michael Liut

“…Abstract In the dual optimization problem behind Support Vector Machine (SVM), each data point corresponds to a decision variable. Therefore, removing data points is equivalent to reducing the dimensionality of the dual problem, leading to a more efficient optimization process. …”
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An Automated Testing Method for Interlocking Data in Signaling System of Urban Rail Transit by LIU Huachao, HUANG Dinghui, LANG Hongxia, WANG Rongyue

“…To improve the testing efficiency of computer interlocking systems and shorten the testing cycle of urban rail transit projects, this paper proposes an automated testing method for interlocking data of signaling systems for urban rail transit. …”
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Artificial Intelligence (AI) in Neurofeedback Therapy Using Electroencephalography (EEG), Heart Rate Variability (HRV), and Galvanic Skin Response (GSR): A Review by Teddy Marcus Zakaria, Armein Zainal R. Langi, Muhamad Sophian Nazaruddin, Isa Anshori

“…Additionally, the general adoption of this technology is restricted by concerns regarding patient security and data privacy. The paper emphasizes the role of artificial intelligence in preprocessing data, feature extraction, and AI model analysis by integrating current research findings. …”
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Patch-type capacitive micromachined ultrasonic transducer for ultrasonic power and data transfer by Chaerin Oh, Young-Min Kim, Taemin Lee, Sang-Mok Lee, Joontaek Jung, Hyeon-Min Bae, Chul Kim, Hyunjoo J. Lee

“…Abstract Ultrasonic power and data transfer is a promising technology for implantable medical devices because of its non-invasiveness, deep penetration depth, and potential for a high-power transmission rate with a low specific absorption rate. …”
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Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications by Mehdi Letafati, Samad Ali, Matti Latva-Aho

“…The underlying mechanism of diffusion models is to decompose the data generation process over the so-called “denoising” steps. …”
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The Evaluation of Small-Scale Field Maize Transpiration Rate from UAV Thermal Infrared Images Using Improved Three-Temperature Model by Xiaofei Yang, Zhitao Zhang, Qi Xu, Ning Dong, Xuqian Bai, Yanfu Liu

“…The results indicate that when the potential energy function parameter β value is 0.1, the optimal performance is provided. (2) The feasibility of utilizing UAV-based TIR remote sensing in conjunction with the 3T model for estimating Tr has been demonstrated, showing a significant correlation between the measured and the estimated transpiration rate (T_r-3T_C), derived from T_C data obtained through the segmentation and processing of TIR imagery. …”
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Calculation Model of Multi-roll Straightening Process Based on Bilinear Hardening and Power Hardening by ZHU Xiaoyu, CHENG Zixing, WANG Xiaogang, HAN Peisheng

“…ObjectiveWith the development of new materials, increasing complexity in material properties has made it more difficult to define accurate straightening processes. The discrepancy between the assumptions of traditional ideal material models and actual material behavior has made accurate modeling a core issue in straightening process calculations. …”
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Rendezvous Data Collection Using a Mobile Element in Heterogeneous Sensor Networks by Junzhao Du, Hui Liu, Longfei Shangguan, Luo Mai, Kai Wang, Shucong Li

“…We study the rendezvous data collection problem for the Mobile Element (ME) in heterogeneous sensor networks where data generation rates of sensors are distinct. …”
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Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis by Zhang Weimin, Zhou Luyao, Shao Min, Wang Cui, Wang Yu

“…Therefore, to address the aforementioned issues, this study proposes a novel textual representation method for clinical numerical data, leveraging pre-trained language models from the field of natural language processing for sepsis prediction. …”
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Perbandingan Tool Forensik Data Recovery Berbasis Android menggunakan Metode NIST by Imam Riadi, Sunardi Sunardi, Sahiruddin Sahiruddin

“…On Wondershare 2 smartphones, the data returned was deleted with a success rate of 35% and Oxygen having a success rate of 69%. …”
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Using artificial intelligence tools to automate data extraction for living evidence syntheses. by Evan Mitchell, Elisha B Are, Caroline Colijn, David J D Earn

“…It requires a considerable amount of human time investment in the article search, collection, and data extraction phases. Tools exist to automate the retrieval of relevant journal articles, but pulling data out of those articles is currently still a manual process. …”
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Investigating the effects of mobile bottom fishing on benthic carbon processing and storage: a systematic review protocol by Stacey L. Felgate, John Aldridge, Stefan G. Bolam, Sarah Breimann, Emil de Borger, Jolien Claes, Jochen Depestele, Graham Epstein, Clement Garcia, Natalie Hicks, Michel Kaiser, Jack H. Laverick, Gennadi Lessin, Finbarr G. O’Neill, Sarah Paradis, Ruth Parker, Ryan Pereira, Alex J. Poulton, Claire Powell, Craig Smeaton, Paul Snelgrove, Justin Tiano, Johan van der Molen, Sebastiaan van de Velde, Marija Sciberras

“…This is primarily due to a lack of quantitative understanding of how trawling mixes and resuspends sediments, how it alters bioturbation, bioirrigation, and oxygenation rates, and how these processes translate into carbon fluxes into or out of sediments. …”
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Research and Application of an Online Train ConditionMonitoring Method Based on Streaming Data by FENG Furen

“…In order to detect the online status of trains in real time, traditional threshold detection methods can only make judgments on the status of equipment or systems based on numerical performance, while ignoring the train health status changes reflected in the trend of data. This paper proposes a consistent performance-based streaming data analysis method for the streaming data generated in the online train operation process. …”
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Cattle welfare assessment based on adaptive fuzzy logic and multimodal data fusion by Lei Tong, Lei Tong, Lei Tong, Jiandong Fang, Jiandong Fang, Jiandong Fang, Xiuling Wang, Xiuling Wang, Xiuling Wang, Yudong Zhao, Yudong Zhao

“…The method establishes a quantitative scoring system based on behavioral duration and individual group differences, and designs a multi-modal data processing framework that combines Backpropagation (BP) neural networks with adaptive fuzzy logic. …”
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Trajectory and communication scheduling optimization for the rechargeable UAV aided data collection system by Qianwen LI, Jianfeng CHEN, Miao CUI, Guangchi ZHANG

“…A rechargeable unmanned aerial vehicle (UAV) aided wireless sensor network was considered, which consists of multiple ground terminals with a large amount of time-sensitive data to be collected.Due to the limited battery capacity, the UAV cannot collect the data from all terminals through a single flight mission, and it needs to return to the charging pile to replenish its flight energy several times during the whole mission.The optimization of the terminal scheduling, trajectory, flight speed and transmission rate for the UAV was studied to maximize the number of terminals whose data had been collected within the data lifetime limit.Due to the variable coupling and the existence of discrete binary scheduling variables, the considered optimization problem is difficult to solve.To tackle such a difficulty, an efficient algorithm was proposed based on the stochastic optimization and the feature engineering.Specifically, the flight hover communication protocol was introduced to simplify the UAV flight process.And then a terminal scheduling algorithm was innovatively proposed with the influence factor and the stochastic preference, which extracted the features that affect the service time of the UAV, optimized the weights of the features, and further simplified the optimization problem into multiple subproblems.The subproblems were then solved by using the block coordinate descent and successive convex approximation techniques.Simulation results show that the proposed optimization algorithm achieves significant performance gains over several benchmark schemes in the scenarios with different data lifetime requirements and different numbers of ground terminals.…”
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Multi-locus analysis of genomic time series data from experimental evolution. by Jonathan Terhorst, Christian Schlötterer, Yun S Song

“…However, standard population genetic inference procedures do not account for sampling serially over time, and new methods are needed to make full use of modern experimental evolution data. To address this problem, we develop a Gaussian process approximation to the multi-locus Wright-Fisher process with selection over a time course of tens of generations. …”
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Martingale Stopping Rule Application in Bayesian A/B Testing With Batch Data by Yali Wang, Haiyan Yu, Ching-Chi Yang, Ronggui Zhang

“…The results obtained using the martingale stopping strategy enhance the interpretability of the A/B testing process. Finally, the effectiveness of the Bayesian A/B testing method is validated through numerical experiments on both simulated data and real-world applications.…”
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Data-Model Fusion-Driven Method for Fault Quantitative Diagnosis of Heat Exchanger by Xiaogang Qin, Shiwei Yan, Haibo Xu, Yi Gao, Yanbing Yu, Jinjiang Wang

“…Firstly, based on the monitoring data such as temperature, pressure and flow rate, the secondary parameters characterizing the heat exchanger running state are constructed combined with structural physical parameters. …”
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Modern data on glaciation of the northern slope of Tavan-Bogdo-Ola massif (Altai) by D. A. Ganyushkin, K. V. Chistyakov, I. V. Volkov, D. V. Bantsev, E. P. Kunaeva, N. F. Kharlamova

“…Since 1962, areas of the glaciers decreased by 24.3%. The largest rates of the glacial area decreasing took place in 2001–2009. …”
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