On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in UltraWideBand (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) C... by Gianmarco Baldini

“…The proposed techniques are applied to two data sets: the public eWINE data set with seven different UWB LOS/NLOS different environments and a radar data set with the LOS/NLOS condition. …”
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Metro Wheel Set Size Measurement Method Based on CDD Image Recognition by Jun Ma, Chunguang Zhang, Bingzhi Chen

“…In the process of train operation, the contact friction between wheel and track will change the size of wheel set. In order to ensure the safe operation of train, it is of great significance to detect the change of wheel set size timely and accurately. …”
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PILICA Anti-Aircraft Rocket-Artillery System - a V-SHROAD System by Dariusz DOMOŃ, Stanisław DUDA, Maciej ŁABNO

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Multimodal sensor dataset for monitoring older adults post lower limb fractures in community settings by Ali Abedi, Charlene H. Chu, Shehroz S. Khan

“…This paper presents a new publicly available multimodal sensor dataset, MAISON-LLF, collected from older adults recovering from LLF in community settings. The dataset includes data from smartphone and smartwatch sensors, motion detection sensors, sleep-tracking mattresses, and clinical questionnaires on social isolation and functional decline. …”
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Tools and methods for cataract recognition in low-resource settings: A narrative review. by Paulina N Truong, Elizabeth A Merlinsky, Nicholas C Maamari, Christina Y Weng, Andrew G Lee

“…Only 12 studies proposed new cataract screening methods for low-income settings. We extracted data on the efficacy and cost-efficiency of these novel methods and compared them to existing conventional cataract diagnosis methods. 8 out of 12 original research works developed novel devices or imaging modalities such as low-cost ophthalmoscopes and retinal cameras for cataract detection. 7 studies leveraged non-ophthalmologist staff to test their methods, suggesting a potential benefit of employing additional personnel for cataract screening. 8 studies utilized tele-ophthalmology and artificial intelligence (AI) platforms with high cataract detection accuracy. …”
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

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Cosmology in Extended Parameter Space with DESI Data Release 2 Baryon Acoustic Oscillations: A 2σ+ Detection of Nonzero Neutrino Masses with an Update on Dynamical Dark Energy and... by Shouvik Roy Choudhury

“…Replacing DESY5 with Pantheon+ still yields a ∼1.9 σ detection. (ii) The cosmological constant lies at the edge of the 95% contour with CMB+BAO+Pantheon+ but is excluded at 2 σ + with DESY5, leaving evidence for dynamical dark energy data-set dependent and inconclusive. …”
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Optimizing Swine Oral Fluid Sampling Procedures for Growing Pigs in Commercial Settings by Grzegorz Tarasiuk, Marta D. Remmenga, Kathleen C. O’Hara, Marian K. Talbert, Sarah Mielke, Marisa L. Rotolo, Pam Zaabel, Danyang Zhang, Jeffrey J. Zimmerman

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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…This model is combined with fast computational image segmentation algorithm, alternating direction method of multipliers (ADMM), to solve the level-set equations. The proposed approach, called the neighbor level set minimized with the ADMM method, incorporates a data fitting term that leverages neighbor region information for enhanced medical image segmentation. …”
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The role of pharmacists in mitigating medication errors in the perioperative setting: a systematic review by Lina Naseralallah, Somaya Koraysh, May Alasmar, Bodoor Aboujabal

“…Screening, quality assessment, and data extraction were performed by two independent researchers. …”
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The Case of Bradycardia Occured in the Setting of Hyperkalemia in a Patient in Ambulatory Hemodialysis Department by G. A. Ignatenko, G. G. Taradin, A. E. Bagry, I. V. Rakitskaya, K. E. Mogilevskaya, V. I. Merkuriev, A. L. Khristulenko

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2D data arrangement to train ANN for depression levels measurementMendeley Data by Al Fathjri Wisesa, Eny Latifah, Sutrisno, Suyatno, Tutut Chusniyah, Kukuh Setyo Pambudi, Mochamad Khoirul Rifai, Moh. Fariq Firdaus Karim, Anugerah Agung Dwi Putra

“…The highly significant p-value provided strong evidence that the observed difference in means is not coincidental. According to data processing, we have the data set including all levels of depression to enhance the effectiveness of measuring depression. …”
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Validation of a Set of Clinical Criteria for the Diagnosis of Secondary Progressive Multiple Sclerosis by Alin Ciubotaru, Daniel Alexa, Cristina Grosu, Lilia Böckels, Ioana Păvăleanu, Alexandra Maștaleru, Maria Magdalena Leon, Roxana Covali, Emanuel Matei Roman, Cătălina Elena Bistriceanu, Cristina Mihaela Ghiciuc, Doina Azoicăi, Emilian Bogdan Ignat

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Safety of chemotherapy of MDR/XDR-TB patients in high HIV prevalence settings by A. V. Kukurika, E. I. Veselova, L. E. Parolina, O. V. Lovacheva

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Hypermodularity and community detection in hypergraphs by Charo I. del Genio

“…In this article, we introduce a formalism for the hypermodularity of higher-order networks that allows us to use spectral methods to detect community structures in hypergraphs. We apply this approach to synthetic random networks as well as to real-world data, showing that it produces results that reflect the nature and the dynamics of the interactions modeled, thereby constituting a valuable tool for the extraction of hidden information from complex higher-order data sets.…”
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MARSweb: a fully automated web service for set-based association testing by Taegun Kim, Jaeseung Song, Jong Wha J. Joo

“…Additionally, users can perform analyses by simply uploading their data without needing to familiarize themselves with intricate analysis procedures. …”
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Research of phishing detection technology by Xi ZHANG, Zhi-wei YAN, Hong-tao LI, Guang-gang GENG

“…The current status of phishing scams were analyzed and the data sets and evaluation indicators commonly used in phishing detection were summaried.On this basis,a detailed overview of the typical methods of phishing detection was given,which included blacklist strategies,heuristic methods,visual matching methods,and methods based on machine learning and natural language processing.The comparison and analysis of those methods were given,and furtherly,the challenges and future trends of phishing detection were discussed.…”
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Evaluating techniques from low-shot learning on traditional imbalanced classification tasks by Preston Billion-Polak, Taghi M. Khoshgoftaar

“…To the best of our knowledge, our work is the first to directly compare optimization-based and contrastive approaches in any setting, and the first work to examine either of these approaches on a tabular big-data task. …”
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A Multi-Parameter Persistence Algorithm for the Automatic Energy Calibration of Scintillating Radiation Sensors by Guglielmo Ferranti, Chiara Rita Failla, Paolo Finocchiaro, Alessandro Pluchino, Andrea Rapisarda, Salvatore Tudisco, Gianfranco Vecchio

“…Peak detection is a fundamental task in spectral and time-series data analysis across diverse scientific and engineering disciplines, yet traditional approaches are highly sensitive to the choice of algorithm parameters, complicating reliable and consistent interpretation. …”
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Unsupervised detection of coordinated information operations in the wild by D. Hudson Smith, Carl Ehrett, Patrick Warren

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