Systematic review of machine learning applications using nonoptical motion tracking in surgery by Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic

“…Future research should advance ML in surgical environments, ensure model interpretability and reproducibility, and use larger datasets for accurate evaluation.…”
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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism by Fan Wang, Aihua Liu, Chunyang Qu, Ruolan Xiong, Lu Chen

“…The effectiveness of the proposed method was validated on C-MAPSS datasets, and its superior performance in RUL prediction was demonstrated through comparative analysis with other methods.…”
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In Vitro Model of Vascular Remodeling Under Microfluidic Perfusion by Kotaro Nishikata, Kimisato Doi, Nobuyoshi Kaneoya, Masataka Nakamura, Nobuyuki Futai

“…We obtained many large-area (2 mm × 3 mm) long-term (more than 30 days per run) time-lapse image datasets of the in vitro luminal network using this microfluidic system. …”
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Taichi on the brain: an activation likelihood estimated meta-analysis of functional neuroimaging data by Shengxin Wang, Tianyu Liu, Jingtao Du, Jun Chen, Xiufen Luo, Yujie Meng, Chun Zeng, Xupeng Zhang, Binghua Shao

“…The present research endeavor aims to elucidate the neurocognitive impacts of TCC compared to alternative exercise modalities or therapeutic interventions.MethodsA systematic meta-analysis was undertaken, encompassing a rigorous review of diverse datasets, wherein 422 scholarly articles were examined, with a subset of 18 articles meeting the stringent criteria for inclusion in the analytical framework.ResultsThe study cohort comprised 677 participants, characterized by a mean age of 56.52 ± 14.89 years and an average educational attainment of 11.06 ± 3.32 years. …”
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Predicting drug and target interaction with dilated reparameterize convolution by Moping Deng, Jian Wang, Yiming Zhao, Yongjia Zhao, Hao Cao, Zhuo Wang

“…Extensive experiments demonstrate that Rep-ConvDTI achieves the most competitive performance against state-of-the-art baselines on the three benchmark datasets. Furthermore, we validated the potential of Rep-ConvDTI as a drug screening tool through model interpretative studies and drug screening experiments with cystathionine-β-synthase.…”
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Resolving active species during the carbon monoxide oxidation over Pt(111) on the microsecond timescale by Calley N. Eads, Weijia Wang, Ulrike Küst, Julia Prumbs, Robert H. Temperton, Mattia Scardamaglia, Joachim Schnadt, Jan Knudsen, Andrey Shavorskiy

“…Abstract Catalytic studies traditionally rely on steady-state conditions resulting in time-averaged datasets that do not differentiate between active and spectator species. …”
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Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning by Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu

“…Results reveal that the proposed framework outperforms state-of-the-art methods based on the experiments on two different datasets with other baselines.…”
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Genome-wide association study unravels mechanisms of brain glymphatic activity by Shu-Yi Huang, Yi-Jun Ge, Peng Ren, Bang-Sheng Wu, Weikang Gong, Jing Du, Shi-Dong Chen, Ju-Jiao Kang, Qing Ma, Arun L. W. Bokde, Sylvane Desrivières, Hugh Garavan, Antoine Grigis, Herve Lemaitre, Michael N. Smolka, Sarah Hohmann, IMAGEN Consortium, Jian-Feng Feng, Ya-Ru Zhang, Wei Cheng, Jin-Tai Yu

“…Seven loci were replicated in two independent datasets. Genetic signals located at the 2p23.3 locus yielded significantly concordant effects in both young and aging cohorts. …”
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A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing by Guowei Zhang, Jinrui Wang, Baokun Han, Sixiang Jia, Xiaoyu Wang, Jingtao He

“…Bearing and planetary gear datasets are used to validate the diagnostic performance of the proposed method. …”
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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

“…[Findings] The experimental results on two real datasets show that compared with the baseline; the proposed model has better classification performance.…”
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Tales of health crises: Indonesia’s dynamic narratives and counter-narratives about pandemics by Rahmi Rahmi, Totok Suhardijanto, Herdito Sandi Pratama, Ratna Djumala, Katrin Setio Devi, Aditia Aditia

“…Technical challenges, particularly with tools such as AntConc, further emphasised the need for rigorous digital tools that are tailored to complex datasets. A pronounced difference between narratives on platforms such as Twitter and those on structured online media was observed, thus highlighting the necessity of diverse analytical approaches for different media sources. …”
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Revised Masses for Low-density Planets Orbiting the Disordered M-dwarf System TOI-1266 by Dakotah Tyler, Erik A. Petigura, James Rogers, Jack Lubin, Andreas Seifhart, Jacob L. Bean, Madison Brady, Rafael Luque

“…The Keplerian fit from the combined datasets enabled an ≈35% and ≈41% improvement in mass precision for planet b and c, respectively, compared to the previously published values. …”
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Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach by DOI: 10.7172/2449-6634.jmcbem.2023.1.3 Journal of Marketing and Consumer Behaviour in Emerging Markets 1(16)2023 39 (39–50) © 2023 Authors. This is an open access journal distributed under the Creative Commons BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach Daniel Dan

“…Behavioural marketing researchers might want to use these results to confirm the existence of such patterns in different datasets or situations.…”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

“…The effectiveness of our AMHSF is demonstrated through experiments on both synthetic and real datasets, showcasing its potential to improve the identification of structural features in coherence images.…”
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Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking by Arne Kuderle, Martin Ullrich, Nils Roth, Malte Ollenschlager, Alzhraa A. Ibrahim, Hamid Moradi, Robert Richer, Ann-Kristin Seifer, Matthias Zurl, Raul C. Simpetru, Liv Herzer, Dominik Prossel, Felix Kluge, Bjoern M. Eskofier

“…<italic>Methods:</italic> This initial release includes over 20 state-of-the-art algorithms, enables easy access to seven datasets, and provides eight benchmark challenges with reference implementations. …”
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Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease by Serena Dattola, Augusto Ielo, Angelo Quartarone, Maria Cristina De Cola

“…Future work should explore advanced algorithms, enriched feature sets, and larger datasets to improve robustness and generalizability.…”
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PathoGD: an integrative genomics approach to primer and guide RNA design for CRISPR-based diagnostics by Soo Jen Low, Matthew O’Neill, William J. Kerry, Natasha Wild, Marcelina Krysiak, Yi Nong, Francesca Azzato, Eileen Hor, Lewis Williams, George Taiaroa, Eike Steinig, Shivani Pasricha, Deborah A. Williamson

“…PathoGD is fully automated, leverages publicly available sequences and is scalable to large datasets, allowing rapid continuous monitoring and validation of primer/gRNA sets to ensure ongoing assay relevance. …”
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Drug-target binding affinity prediction based on power graph and word2vec by Jing Hu, Shuo Hu, Minghao Xia, Kangxing Zheng, Xiaolong Zhang

“…We conducted experiments on the Davis and Kiba datasets, and the experimental results showed that WPGraphDTA exhibited good prediction performance.…”
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Underwater acoustic target recognition under working conditions mismatch by WANG Haitao, JIN Anqi, YANG Shuang, ZENG Xiangyang

“…Tests were conducted using ship radiated noise datasets under four working conditions. The results show that the proposed method outperforms the other methods in all kinds of working condition mismatch problems, which demonstrates its intelligence and practicality in engineering problems.…”
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DBnet: A Lightweight Dual-Backbone Target Detection Model Based on Side-Scan Sonar Images by Quanhong Ma, Shaohua Jin, Gang Bian, Yang Cui, Guoqing Liu

“…Tests performed on two datasets (SSUTD and SCTD) showed that the mAP values improved by 2.3% and 6.6%.…”
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