Should we worry about filter bubbles? by Frederik J. Zuiderveen Borgesius, Damian Trilling, Judith Möller, Balázs Bodó, Claes H. de Vreese, Natali Helberger

“…For instance, a personalised news website could give more prominence to conservative or liberal media items, based on the (assumed) political interests of the user. As a result, users may encounter only a limited range of political ideas. …”
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Investigating the profit performance of quantitative timing trading strategies in the Shanghai copper futures market, 2020–2022 by Hongyu Tian, Wei Wang, Mengxin Yang, Ali Yilmaz

“…Abstract In conducting an extensive examination, we scrutinize the efficacy of algorithmic trading strategies applied to Futures CopperMainContinuous in the Shanghai Futures Exchange, utilizing a comprehensive data set spanning from January 2020 to December 2022. …”
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Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics. by Alexandria M Jensen, Peter DeWitt, Brianne M Bettcher, Julia Wrobel, Katerina Kechris, Debashis Ghosh

“…The literature on analysis of these community detection algorithms has focused on comparing them within the same subject. …”
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Predicting dementia in people with Parkinson’s disease by Mohamed Aborageh, Tom Hähnel, Patricia Martins Conde, Jochen Klucken, Holger Fröhlich

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Detecting and Mitigating Wind Turbine Clutter for Airspace Radar Systems by Wen-Qin Wang

“…To resolve this problem, efficient techniques or algorithms should be developed to mitigate the effects of wind farms on radars. …”
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Discovering Approximate and Significant High-Utility Patterns from Transactional Datasets by Huijun Tang, Le Wang, Yangguang Liu, Jiangbo Qian

“…Mining high-utility pattern (HUP) on transactional datasets has been widely discussed, and various algorithms have been introduced to settle this problem. …”
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Tractability of $ L_2 $-approximation and integration over weighted Korobov spaces of increasing smoothness in the worst case setting by Weiran Ding, Jiansong Li, Yumeng Jia, Wanru Yang

“…Our results give a comprehensive picture of the weight conditions for all standard notions of algebraic tractability. It may be helpful to study the tractability of nonhomogeneous tensor product spaces.…”
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Tissue Is the Issue: A Systematic Review of Methods for the Determination of Infarct Volume in Acute Ischaemic Stroke by Fatimah Al Ahmed, Patrick Kennelly, Darragh Herlihy, Jorin Bejleri, David J. Williams, John J. Thornton, Shona Pfeiffer

“…However, differences in operating algorithms and lack of standardisation of image acquisition parameters, quality, and format may impact performance and reproducibility. …”
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Integrating transcriptomic and metabolomic analyses to characterize the potential function of SLC1A5 in thyroid cancer by Fengling Shan, Lan Wang, Xinyu Lu, Meihong Zhou, Zi Wang, Jingjing Lou, Xingdang Liu

“…Furthermore, immune microenvironment study revealed that SLC1A5 had a positive correlation with the amount of CD4 + T memory-activated cells and T cell follicular helper cells. Conclusion SLC1A5 may be a possible target in THCA. Our findings indicate that DEGs and differential metabolites are mostly linked to numerous signaling pathways and immunological modulation, which may play an important role in SLC1A5 regulation of THCA development.…”
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Association of marital status with DNA methylation-based biological age among US older adults by Xian Cui, Jianghua Huo, Yaqian Xu, Hui Zhang, Chongyu Ding, Jun Du, Xiangwei Li

“…BackgroundDNA methylation (DNAm) algorithms, such as GrimAge and GrimAge2, have emerged as reliable measures of biological age acceleration and may offer additional insights into health outcomes. …”
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Analysis and validation of novel biomarkers related to palmitoylation in adenomyosis by Hongyu Zhang, Yufeng Li, Huijuan Cao, Yiling Zhao, Hongwen Zhu, Tiansheng Qin

“…Recent studies suggest that estrogen may promote Scribble protein depalmitoylation by upregulating APT1 and APT2 expression. …”
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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

“…Ferroptosis, a novel form of programmed cell death, may play a key role in CS and AS. However, the pathophysiological mechanisms underlying their coexistence remain unclear. …”
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A novel device-free Wi-Fi indoor localization using a convolutional neural network based on residual attention by Mashael Maashi, Alanoud Al Mazroa, Shoayee Dlaim Alotaibi, Asma Alshuhail, Muhammad Kashif Saeed, Ahmed S. Salama

“…However, existing convolutional neural network (CNN) fingerprinting placement algorithms have a limited receptive area, limiting their effectiveness since important data in CSI has not been thoroughly explored. …”
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DIGITAL TOOLS FOR MATCHING QUALIFICATIONS TO THE LEVELS OF THE NATIONAL QUALIFICATIONS FRAMEWORK by Volodymyr Kovtunets, Sergiy Londar, Serhii Melnyk, Oles Kovtunets

“…Therefore, some simple approximation methods for eigenvector computing may be applied using only minimal means of Microsoft Excel or analogous applications. …”
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Co-occurrence of sudden feeding behaviour deviations and welfare issue onsets in growing-finishing pigs by Jacinta D. Bus, Rudi M. de Mol, Laura E. Webb, Eddie A. M. Bokkers, Iris J. M. M. Boumans

“…Abstract Background Modern sensor technologies and algorithms have the potential to continuously monitor indicators of individual animal welfare, but in growing-finishing pigs the validity of such welfare monitoring remains low for unclear reasons. …”
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The use of patient-reported outcome measures to improve patient-related outcomes – a systematic review by Joshua M. Bonsel, Ademola J. Itiola, Anouk S. Huberts, Gouke J. Bonsel, Hannah Penton

“…Organizational/policy-level application is in its infancy, and performance evaluation via in-depth analyses and PDCA-cycles may be useful. The findings of this review may aid stakeholders in the development and implementation of PROM-interventions which truly impact patient outcomes.…”
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Transthyretin amyloid cardiomyopathy: Literature review and red‐flag symptom clusters for each cardiology specialty by Yasuhiro Izumiya, Toru Kubo, Jin Endo, Seiji Takashio, Masatoshi Minamisawa, Jun Hamada, Tomonori Ishii, Hajime Abe, Hiroaki Konishi, Kenichi Tsujita

“…Abstract Wild‐type transthyretin amyloid cardiomyopathy (ATTRwt‐CM) is a progressive and infiltrative cardiac disorder that may cause fatal consequences if left untreated. …”
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Safety assessment of deutetrabenazine: real-world adverse event analysis from the FAERS database by Yanping Shu, Yuanhe Wang, Jiaoying Liu, Lingyan Hu, Sichao Tong, Gang Wu, Xianlin Zhu

“…Tongue thrust (n = 4, ROR 253.47, PRR 253.35, IC 7.88, EBGM 235.95), grunting (n = 5, ROR 78.49, PRR 78.45, IC 6.26, EBGM 76.71) and drooling (n = 17, ROR 13.21, PRR 13.19, IC 3.72, EBGM 13.14) were not mentioned in the specification, but the high signal intensity suggested that they may be the potential adverse reactions.ConclusionThe efficacy of deutetrabenazine may be accompanied by some potential adverse effects in several systems. …”
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Object-Specific Multiview Classification Through View-Compatible Feature Fusion by Javier Perez Soler, Jose-Luis Guardiola, Nicolás García Sastre, Pau Garrigues Carbó, Miguel Sanchis Hernández, Juan-Carlos Perez-Cortes

“…In these scenarios, relying on a single image may not provide sufficient information to effectively identify the scrutinized object, as different perspectives may reveal distinct characteristics that are essential for accurate classification. …”
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Factors influencing the response to periodontal therapy in patients with diabetes: post hoc analysis of a randomized clinical trial using machine learning by Nidia CASTRO DOS SANTOS, Arthur MANGUSSI, Tiago RIBEIRO, Rafael Nascimento de Brito SILVA, Mauro Pedrine SANTAMARIA, Magda FERES, Thomas VAN DYKE, Ana Carolina LORENA

“…We tested seven different algorithms: K-Nearest Neighbors, Decision Tree, Support Vector Machine, Random Forest, Extreme Gradient Boosting, and Logistic Regression. …”
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