Machine learning to predict the source of campylobacteriosis using whole genome data. by Nicolas Arning, Samuel K Sheppard, Sion Bayliss, David A Clifton, Daniel J Wilson

“…Here, we broaden the input data spectrum to include core genome MLST (cgMLST) and whole genome sequences (WGS), and implement multiple machine learning algorithms, allowing more accurate source attribution. …”
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Mechanical Impedance Control in the Human Arm While Manually Transporting an Open-Top Fluid Filled Dish by Navit Roth, Rami Seliktar, Joseph Mizrahi

“…The tested subjects walked at constant speed on a treadmill while aiming to minimize liquid spillage from the cup. …”
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The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA)Research in context by Baldev M. Singh, Nisha Kumari-Dewat, Vijay Klaire, Jonathan Lampitt, Amy Palmer, Adam Ryder, Kamran Ahmed, Mona Sidhu, Hannah Jennens, Ananth Viswanath, Emma Parry

“…We have developed, tested, validated a mortality probability algorithm with that level of scalability. Methods: This was a prospective whole adult population cohort study in Wolverhampton, a high deprivation, multiethnic city in the UK. …”
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Coordinated Operation of the Constituent Components of a Community Energy System to Maximize Benefits While considering the Network Constraints by A. H. Wijethunge, J. V. Wijayakulasooriya, J. B. Ekanayake, A. Polpitiya

“…Smart community with locally generated renewable energy is a new paradigm that leads to a system that is more sustainable, secure, and cost-effective to the community while enabling connection of more distributed energy resources. …”
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Study of declination methods while forming the appearance of the surface-to-air unmanned aerial vehicle with a vertical start by A. V. Vindeker

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Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass by J. Meloche, N. R. Leroux, B. Montpetit, V. Vionnet, C. Derksen

“…<p>Snow water equivalent (SWE) retrieval from Ku-band radar measurements is possible with complex retrieval algorithms involving prior information on the snowpack microstructure and a microwave radiative transfer model to link backscatter measurements to snow properties. …”
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Phenotype to genotype: A new and rapid approach using whole-genome sequencing. by McKenna Feltes, Aleksey V Zimin, Sofia Angel, Nainika Pansari, Monica R Hensley, Jennifer L Anderson, Meng-Chieh Shen, Mackenzie Klemek, Yi Shen, Vighnesh S Ginde, Hannah Kozan, Nhan V Le, Vivian P Truong, Meredith H Wilson, Steven L Salzberg, Steven A Farber

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Scheduling Algorithm: Tasks Scheduling Algorithm for Multiple Processors with Dynamic Reassignment by Pradeep Kumar Yadav, M. P. Singh, Harendra Kumar

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Accelerometers can correctly count orthopaedic patients' early post‐operative steps while using walking aids by Spiros Tsamassiotis, Michael Schwarze, Philipp Gehring, Roman F. Karkosch, Lars‐René Tücking, Ann‐Kathrin Einfeldt, Eike Jakubowitz

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Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing by Junglim Choi, Junglim Choi, Sungnam Kim, Hyunsoo Ahn, Donghyo Kim, Sung-Won Cho, Sanguk Kim, Sanguk Kim, Sanguk Kim, Jae Hoon Lee

“…Here, we aimed to identify potential candidate genes contributing to the development of non-syndromic peg lateralis via whole-exome sequencing (WES).MethodsSaliva samples were collected from 20 unrelated Korean individuals with non-syndromic peg lateralis. …”
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consHLA: a next generation sequencing consensus-based HLA typing workflow by Rachel Bowen-James, Weilin Wu, Marie Wong-Erasmus, Julian M. W. Quinn, Chelsea Mayoh, Mark J. Cowley

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A Study of Deep Learning Neural Network Algorithms and Genetic Algorithms for FJSP by Xiaofeng Shang

“…The new improved algorithm is based on the combination of deep learning neural networks LSTM and CNN with genetic algorithm (GA), namely, CNN-LSTM-GA algorithm. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…This paper proposes a real-time intelligent recognition method for strongly heterogeneous formations based on multi-parameter logging while drilling and drilling engineering, which can effectively guide directional drilling operations. …”
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Algorithmic Shadow Spectroscopy by Hans Hon Sang Chan, Richard Meister, Matthew L. Goh, Bálint Koczor

“…We present shadow spectroscopy as a simulator-agnostic quantum algorithm for estimating energy gaps using very few circuit repetitions (shots) and no extra resources (ancilla qubits) beyond performing time evolution and measurements. …”
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Real-Time Estimation Method of P-Wave Slowness Based on Kalman Filtering and STC by SUN Hao, CHEN Wenhui, SUN Xuekai, YU Weidong, LI Siyi, ZHAO Peng

“…How to achieve stable interval time extraction while ensuring timeliness is a challenging problem. …”
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Based on Fuzzy Measure Algorithm Message Adaptive Rate Algorithm of Internet of Things by Zhijie Zhang

“…The value of ADR_ MSG_CNT of the 15 source nodes in the method was 30 within 0–10 s, while the RCV_ACK_CNT of some nodes was 0. It proved that the method was more efficient than the original LoRaWAN adaptive data rate control algorithm.…”
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Algorithmic Gossiping: sharing and non-sharing that evolve algorithmic imaginaries to folk theories by Gaohui Cao, Zhang Wen, Puyi Liu

“…Our preliminary findings suggest that algorithmic gossiping plays a pivotal role in the construction of users’ algorithmic knowledge as it confirms and articulates their algorithmic imaginaries while breaking existing bias. …”
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Deciphering algorithmic collusion: Insights from bandit algorithms and implications for antitrust enforcement by Frédéric Marty, Thierry Warin

“…While regulatory measures could mitigate collusive risks, they might also impede the development of algorithmic technologies. …”
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How Students Behave while Solving Critical Thinking Tasks in an Unconstrained Online Environment: Insights from Process Mining by Anastasia Beliaeva

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Temporal prediction and feedforward control in cerebellar ataxia during spontaneous, instructed, and adaptive auditory-motor coupling while walking by Lousin Moumdjian, Bart Moens, Mario Manto, Pierre Cabaraux, Bart Van Wijmeersch, Daphne Kos, Marc Leman, Peter Feys

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