A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…In this setting, one server handles the data encryption between the meter and control center/central database, and the other server administers the random sequence of data transmission. The second layer monitors and verifies exchanged data packets among smart meters. …”
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An LDPC Encoder Architecture With Up to 47.5 Gbps Throughput for DVB-S2/S2X Standards by Decai Liu, Yanfei Luo, Yunfeng Li, Zhijie Wang, Zhengxuan Li, Qianwu Zhang, Junjie Zhang, Yingchun Li

“…In this paper, by extracting the periodicity of the parity-check matrix, we introduce a fast encoding algorithm that can efficiently process the multiplication of the information sequence and a large-dimensional sparse matrix, and propose an encoder architecture with low encoding delay and high throughput. …”
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Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches by Shadrack Odikara Oriama, Benard W. Kulohoma, Evans Nyaboga, Y. O. Masheti, Reuben Otsyula

“…Genomic analysis revealed a significant association on chromosome one SNP S1_6571566 where the protein-coding sequence had a resistant possibility of 55% and annotated to the Enhancer of Poly-comb like protein. …”
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Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study by Femke Wouters, Henri Gruwez, Christophe Smeets, Anessa Pijalovic, Wouter Wilms, Julie Vranken, Zoë Pieters, Hugo Van Herendael, Dieter Nuyens, Maximo Rivero-Ayerza, Pieter Vandervoort, Peter Haemers, Laurent Pison

“…The participants were instructed to perform heart rhythm measurements using a handheld 6-lead electrocardiogram (ECG) device (KardiaMobile 6L), a smartwatch-derived single-lead ECG (Apple Watch), and two PPG-based smartphone apps (FibriCheck and Preventicus) in a random sequence, with simultaneous 12-lead reference ECG as the gold standard. …”
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2D Sin-Cos-Henon Map for Color Image Encryption with High Security by Zhiqiang Cheng, Wencheng Wang, Yuezhang Dai, Lun Li

“…The use of the 2D-SCH, a color image encryption algorithm based on random scrambling and localization diffusion, is proposed. …”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

“…Critically, we varied the sophistication of these algorithms, yielding three conditions, ranging from a control (a simple random biased sequence) to a mildly sophisticated ToM agent (1-ToM). …”
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Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers by Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi

“…The evaluation was carried out using various learning algorithms such as XGBoost, Adaboost, Random Forest, HistogramGB, and 1D-CNN. …”
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𝑞-Gaussian Distributions: Simplifications and Simulations by Paweł J. Szabłowski

“…We present some properties of measures (𝑞-Gaussian) that orthogonalize the set of 𝑞-Hermite polynomials. We also present an algorithm for simulating i.i.d. sequences of random variables having 𝑞-Gaussian distribution.…”
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A METHOD OF GENERATING CUSTOMER REQUESTS IN A CAR RENTAL SIMULATION MODEL by Tomasz MATYJA, Zbigniew STANIK, Krzysztof WŁODKOWSKI

“…The use of machine learning to build models that transform real data in such a way that it can be randomized was also tested.…”
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Adaptive Asymptotic Shape Synchronization of a Chaotic System with Applications for Image Encryption by Yangxin Luo, Yuanyuan Huang, Fei Yu, Diqing Liang, Hairong Lin

“…This scheme leverages the shape synchronization method to generate pseudo-random sequences, which are then used for shuffling, scrambling, and diffusion processes. …”
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A combined method of formation of a cryptographic key with secret modification of the results of synchronization of artificial neural networks by M. L. Radziukevich

“…In this regard, it is proposed to prematurely interrupt the synchronization process at the first stage of the combined method and make changes to the resulting binary sequence by randomly inverting a certain number of bits. …”
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A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model by Jihao Liu, Guoyan Zheng, Weixin Yan

“…Then, the similarity between the prediction sequences and the segmented milling signal is derived by the dynamic time warping (DTW) algorithm. …”
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The Video Manipulation Effect (VME): A quantification of the possible impact that the ordering of YouTube videos might have on opinions and voting preferences. by Robert Epstein, Alex Flores

“…The present study employed a YouTube simulator to identify and quantify another powerful form of influence that the internet has made possible, which we have labeled the Video Manipulation Effect (VME). In two randomized, controlled, counterbalanced, double-blind experiments with a total of 1,463 politically-diverse, eligible US voters, we show that when a sequence of videos displayed by the simulator is biased to favor one political candidate, and especially when the "up-next" video suggested by the simulator favors that candidate, both the opinions and voting preferences of undecided voters shift dramatically toward that candidate. …”
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Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective coho... by Stefanie Aeschbacher, David Conen, Diederick E Grobbee, Raphael Twerenbold, Thomas Lung, Theo Rispens, Jakob Kjellberg, Lorenz Risch, Martin Risch, Marianna Mitratza, Harald Renz, Spiros Denaxas, Billy Franks, Diederick Grobbee, Martina Rothenbühler, Janneke Wijgert, Santiago Montes, Richard Dobson, Hans Reitsma, Christian Simon, Titia Leurink, Charisma Hehakaya, Patricia Bruijning, Kirsten Grossmann, Ornella C Weideli, Marc Kovac, Fiona Pereira, Nadia Wohlwend, Corina Risch, Dorothea Hillmann, Daniel Leibovitz, Vladimir Kovacevic, Andjela Markovic, Paul Klaver, Timo B Brakenhoff, George S Downward, Ariel Dowling, Maureen Cronin, Brianna M Goodale, Brianna Goodale, Ornella Weideli, Regien Stokman, Hans Van Dijk, Eric Houtman, Jon Bouwman, Kay Hage, Lotte Smets, Marcel van Willigen, Maui Chodura, Niki de Vink, Tessa Heikamp, Timo Brakenhoff, Wendy van Scherpenzeel, Wout Aarts, Alison Kuchta, Antonella Chiucchiuini, Steve Emby, Annemarijn Douwes, George Downward, Nathalie Vigot, Pieter Stolk, Duco Veen, Daniel Oberski, Amos Folarin, Pablo Fernandez Medina, Eskild Fredslund

“…Our proposed RNN algorithm identified 68% of COVID-19 positive participants 2 days prior to SO and will be further trained and validated in a randomised, single-blinded, two-period, two-sequence crossover trial.Trial registration numberISRCTN51255782; Pre-results.…”
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Image Encryption Method Based on Three-Dimensional Chaotic Systems and V-Shaped Scrambling by Lei Wang, Wenjun Song, Jiali Di, Xuncai Zhang, Chengye Zou

“…To further improve randomness, DNA encoding is applied to both the image and chaotic sequences, with chaotic sequences directing crossover and DNA operations. …”
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Positioning a Handshake Bay for Twin Stacking Cranes in an Automated Container Terminal Yard Block by Zhi-Hua Hu, Xi-Dan Tian, Yu-Qi Yin, Chen Wei

“…To solve the model, we developed a random-key genetic algorithm with a priority-based decoding scheme to optimize the task sequences and tasks assigned to the cranes. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…For this purpose, 30 instance problems are randomly generated and six indicators are used to compare the algorithms. …”
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Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning by ZhanQiang Xie, YongLi Situ, Li Deng, Meng Liang, Hang Ding, Zhen Guo, QinYing Xu, Zhu Liang, Zheng Shao

“…This study aimed to identify potential therapeutic targets for the treatment of AD using comprehensive bioinformatics methods and machine learning algorithms. By integrating differential gene expression analysis, weighted gene co-expression network analysis, Mfuzz clustering, single-cell RNA sequencing, and machine learning algorithms including LASSO regression, SVM-RFE, and random forest, five hub genes related to AD, including PLCB1, NDUFAB1, KRAS, ATP2A2, and CALM3 were identified. …”
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Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing by Peng Liu, Xinglong Wu, Yanjun Peng, Hangguan Shan, Saïd Mahmoudi, Bong Jun Choi, Haksrun Lao

“…Subsequently, the solution integrates combinatorial auction with random sampling (CA-RS) into smart contracts. Alongside security analysis, simulations are conducted using real data sets. …”
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Computer analysis shows differences between mitochondrial miRNAs and other miRNAs by P. S. Vorozheykin, I. I. Titov

“…To identify the most pronounced characteristics of mitochondrial miRNAs that distinguish them from other miRNAs, we classified mitomiR sequences using the Random Forest algorithm. The analysis revealed, for the first time, a significant difference between mitomiRs and other microRNAs by the following criteria (in descending order of importance in the classification): mitomiRs are evolutionarily older (have a lower phylostratigraphic age index, PAI); have more targets and disease associations, including mitochondrial ones (twosided Fisher’s exact test, average p-values 1.82×10–89/1.13×10–96 for all mRNA/diseases and 6.01×10–22/1.09×10–9 for mitochondria, respectively); and are in the class of “circulating” miRNAs (average pvalue 1.20×10–56). …”
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