A study on Pufferfish privacy algorithm based on Gaussian mixture models by Weisan Wu

“…Abstract In real-world scenarios, mixture models are frequently employed to fit complex data, demonstrating remarkable flexibility and efficacy. …”
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Short-term power consumption forecasting using neural networks with first- and second-order differencing by Meftah Elsaraiti

“…However, they often struggle with capturing the nonlinearity and complexity inherent in real-world data, especially in the presence of high seasonal variability. …”
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Ransomware on cyber-physical systems: Taxonomies, case studies, security gaps, and open challenges by Mourad Benmalek

“…Through an analysis of 10 real-world incidents, we highlight attack patterns, vulnerabilities, and impacts of ransomware campaigns against critical systems and facilities. …”
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Key storage management scheme based on keyed hash tree with state by Xiangyu WANG, Jianfeng MA, Yinbin MIAO, Kai ZHANG, Qiying WU

“…To solve the problem of massive keys storage caused by multi-source data encryption in ciphertext retrieval system,a key storage scheme based on keyed hash tree with state was proposed.The scheme computes encryption key according to the root key and key derivation tree,and just needs to store the root key and the tree structure,which greatly reduces the key storage costs.In addition,the scheme manages key revocation according to the revocation state value,thereby solving the problem of key revocation and structure update.Strict security analysis shows that the partial data key disclosure does not leak the data confidentiality of remaining data,and the performance analysis using real-world dataset shows that the proposed key storage management scheme is acceptable in ciphertext retrieval system.…”
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Research and development of network representation learning by Ying YIN, Lixin JI, Ruiyang HUANG, Lixin DU

“…Network representation learning is a bridge between network raw data and network application tasks which aims to map nodes in the network to vectors in the low-dimensional space.These vectors can be used as input to the machine learning model for social network application tasks such as node classification,community discovery,and link prediction.The traditional network representation learning methods are based on homogeneous information network.In the real world,the network is often heterogeneous with multiple types of nodes and edges.Moreover,from the perspective of time,the network is constantly changing.Therefore,the research method of network representation learning is continuously optimized with the complexity of network data.Different kinds of network representation learning methods based on different networks were introduced and the application scenarios of network representation learning were expounded.…”
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Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic by Ofra Tirosh-Becker, Michal Kessler, Oren Becker, Yonatan Belinkov

“…Finally, we perform a real-world evaluation of new texts that were never tagged before in comparison with human expert annotators. …”
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Sequential Confidence Intervals for Comparing Two Proportions with Applications in A/B Testing by Jun Hu, Lijia Zheng, Ibtihal Alanazi

“…The practical utility of these methods is demonstrated through two real-world applications: analyzing retention rates in mobile game Cookie Cats and evaluating the effectiveness of online advertising.…”
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Modeling Information Diffusion in Online Social Networks Using a Modified Firefly Algorithm by Amjad Alloush, Ghaida Rebdawi, Mohammad Saeed Abou Trab

“…The proposed algorithm is validated on three real-world datasets extracted from Kaggle.com, covering different topics and domains. …”
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Optimal joint production and green investment decisions of green credit financing under uncertain demands by Zhiping Yu, Xin Feng

“…To determine the effectiveness of the proposed decision, computational experiments are conducted on real-world instances. Besides, sensitivity analysis is conducted to derive managerial insights on the implementation of GCF under uncertain demand.…”
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A Practical Approach to Excessive Daytime Sleepiness: A Focused Review by Brian J. Murray

“…Traditional neurophysiologic tests can help in objectively quantifying symptoms but current tests are not always practical clinically and may have little validation in real world situations. There are many treatment options that should generally be able to sufficiently manage most patients presenting with hypersomnolence. …”
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Cluster Consensus on Discrete-Time Multi-Agent Networks by Li Xiao, Xiaofeng Liao, Huiwei Wang

“…Nowadays, multi-agent networks are ubiquitous in the real world. Over the last decade, consensus has received an increasing attention from various disciplines. …”
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An Approach to Self-Assembling Swarm Robots Using Multitree Genetic Programming by Jong-Hyun Lee, Chang Wook Ahn, Jinung An

“…However, there are still critical issues in applying them to practical problems in the real world. The main objective of this study is to develop a novel self-assembling swarm robot algorithm that overcomes the limitations of existing approaches. …”
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A multicenter, cross‐sectional analysis to assess the safety and usage pattern of brivaracetam in the management of partial‐onset seizure with BAEs—BREEZE study: A post‐hoc analysi... by Arvind Sharma, Krishnaprasad Korukonda, Amit Haldar, Usha Kant Misra, R. V. Anand, Yakshdeep Dave, Girish Kulkarni

“…The following study was planned to further understand the role and relevance of BRV in the real world settings of India. Method This was a multicentric, cross‐sectional, and non‐interventional study conducted in patients with FoS across India. …”
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Medication underuse in real-life practice: the impact of galcanezumab towards achieving very low frequency episodic migraine in a southeast Asian middle-income nation by Wanakorn Rattanawong, Prakit Anukoolwittaya, Akarin Hiransuthikul, Thanakit Pongpitakmetha, Auranee Trisataya, Sekh Thanprasertsuk, Alan Rapoport

“…We aimed to determine the efficacy of galcanezumab in achieving very low-frequency episodic migraine (VLFEM) among patients with high-frequency episodic migraine (HFEM) and CM in a real world-setting in Thailand. Methods A single-center, retrospective real-world, cohort study was conducted between 2023 and 2024. …”
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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…The results highlight the potential of integrating multiple biosignal modalities for more accurate pain assessment, with particular value in real-world clinical settings.…”
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Digital Gaming and Subsequent Health and Well-Being Among Older Adults: Longitudinal Outcome-Wide Analysis by Atsushi Nakagomi, Kazushige Ide, Katsunori Kondo, Koichiro Shiba

“…However, its broader impact on health and well-being, particularly in real-world settings, remains unclear. ObjectiveThis study aimed to evaluate the multidimensional effects of digital gaming on health and well-being among older adults, using data from the Japan Gerontological Evaluation Study conducted in Matsudo City, Chiba, Japan. …”
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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

“…These findings may lead to a paradigm shift for future research, as many researchers have not considered concept drift detectors as a viable alternative due to the limited presence of labels in most real-world data streams.…”
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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

“…Methods This was a post hoc analysis of pooled patient-level data from the global, real-world ACTION and ASCORE trials in patients with rheumatoid arthritis (RA) initiating abatacept. …”
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Sex differences in exercise‐induced arterial hypoxemia and pulmonary edema following high‐intensity exercise in highly trained endurance athletes by Alanna S. Hind, Reid A. Mitchell, Olivia N. Ferguson, Morgan Flynn, Satvir S. Dhillon, Karine Badra, Kathryn M. Milne, Danilo Iannetta, Michael S. Koehle, Jordan A. Guenette

“…Pulmonary edema is an unlikely contributor to EIAH in endurance athletes performing near‐maximal time trial exercise in a real‐world setting.…”
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