A traffic prediction method for missing data scenarios: graph convolutional recurrent ordinary differential equation network by Ming Jiang, Zhiwei Liu, Yan Xu

“…Additionally, GCRNODE employs a data-independent spatiotemporal memory graph convolutional network to capture the dynamic spatial dependencies in missing data scenarios. The experimental results on three real-world traffic datasets demonstrate that GCRNODE outperforms baseline models in prediction performance under various missing data rates and scenarios. …”
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Corrigendum to “Low Body Mass Index Can Identify Majority of Osteoporotic Inflammatory Bowel Disease Patients Missed by Current Guidelines” by Ashish Atreja, Ashish Aggarwal, Angelo A. Licata, Bret A. Lashner

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UNDERSTANDING THE INFLUENCE OF HEDONIC MOTIVATION AND FEAR OF MISSING OUT (FoMO) ON ONLINE IMPULSE PURCHASE INTENTIONS OF DISCOUNTED PRODUCTS by Otilia-Elena PLATON

“…In the fast-paced world of online commerce, understanding the psychological drivers behind consumers' impulse purchase intentions of discounted products is essential for businesses seeking to optimise their ecommerce strategies and drive sales. …”
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The Enigma of the Tinnitus-Free Dream State in a Bayesian World by Dirk De Ridder, Kathleen Joos, Sven Vanneste

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Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

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Incidence, Causes, and Perinatal Outcomes of “Near-Miss” Obstetric Emergencies during the COVID-19 Pandemic: Experience from a Tertiary Referral Center of Western Rajasthan, India... by Garima Yadav, Charu Sharma, Pratibha Singh, Vrushti Solanki, Swati Chhabra, Priyanka Kathuria, Meenakshi Gothwal, Manisha Jhirwal, Shashank Shekhar

“…A modified version of the World Health Organization (WHO)’s Maternal Near-Miss Screening Tool was used to identify maternal near-miss cases and other obstetric emergencies requiring CCU admission. …”
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"Spirit in a world without spirit": Foucault's interpretation of the Iranian Revolution and resistance to western modernity by Urošević Milan

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Obtaining personalized predictions from a randomized controlled trial on Alzheimer’s disease by Dennis Shen, Anish Agarwal, Vishal Misra, Bjoern Schelter, Devavrat Shah, Helen Shiells, Claude Wischik

“…At its core, SNN leverages information across patients to impute missing data associated with each patient of interest. …”
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Violence on street children: Looking through Erikson’s psychosocial development theory by Elma Kaiser

Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

“…BackgroundClinical data is instrumental to medical research, machine learning (ML) model development, and advancing surgical care, but access is often constrained by privacy regulations and missing data. Synthetic data offers a promising solution to preserve privacy while enabling broader data access. …”
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The one-child policy and its consequences: Asia and the Balkans by Lazarević Dajana

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Methodological challenges using routine clinical care data for real-world evidence: a rapid review utilizing a systematic literature search and focus group discussion by Michelle Pfaffenlehner, Max Behrens, Daniela Zöller, Kathrin Ungethüm, Kai Günther, Viktoria Rücker, Jens-Peter Reese, Peter Heuschmann, Miriam Kesselmeier, Flavia Remo, André Scherag, Harald Binder, Nadine Binder, for the EVA4MII project

“…Abstract Background The integration of real-world evidence (RWE) from real-world data (RWD) in clinical research is crucial for bridging the gap between clinical trial results and real-world outcomes. …”
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City of Wars: the Representation of Wartime London in Two Novels of the 1940s: James Hanley’s No Directions and Patrick Hamilton’s The Slaves of Solitude by Jean-Christophe Murat

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On the current and future potential of simulations based on directed acyclic graphs by Lutz P. Breitling, Anca D. Dragomir, Chongyang Duan, George Luta

“…Recently, DAGs have been used to demonstrate how missing eligibility information can compromise emulated target trial analysis, a cutting edge approach to estimate treatment effects using real-world data. …”
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Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation... by Peranut Chotcomwongse, Paisan Ruamviboonsuk, Chaiwat Karavapitayakul, Koblarp Thongthong, Anyarak Amornpetchsathaporn, Methaphon Chainakul, Malee Triprachanath, Eckachai Lerdpanyawattananukul, Niracha Arjkongharn, Varis Ruamviboonsuk, Nattaporn Vongsa, Pawin Pakaymaskul, Turean Waiwaree, Hathaiphan Ruampunpong, Richa Tiwari, Viroj Tangcharoensathien

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EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems by Kevin Z. Bai, John M. Fossaceca

“…Although unsupervised models do not require labels during the training and testing phases, the assessment of their performance metrics during the evaluation phase still requires comparing anomaly scores against labels. In real-world scenarios, the absence of labels in massive network datasets makes it infeasible to calculate performance metrics. …”
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Treatment patterns and clinical profile in progressive pulmonary fibrosis: a Japanese cross-sectional survey by Hidekata Yasuoka, Yuko Waseda, Yuko Kaneko, Masateru Okazaki, Ryoko Iwasaki, Shoko Nagata, Mark Small, Haruyuki Ishii

“…As reported by patients themselves (n = 53), 49.1% never and 37.7% rarely missed a dose.ConclusionThis analysis of real-world data from Japan provides insights into the clinical profile of patients with IPF and PPF in Japan, and highlights differences between physicians and patients in perception of symptom severity and attitudes to treatment.…”
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Assessment of information needs in public health in Germany: results of a nationwide survey. by A. Scheiber, R. Schneemann, R. Wischer

“…The main conclusions of the survey findings are: (a) there is a serious demand for information filtering and information supply in Public Health in Germany, (b) some of the ‘’missed’’ databases do already exist, but are obviously not well known or accessible, thus indicating a need of promoting information resources and (c) although some of the respondents have had access to the Internet, only very few of them are using email or the world wide web to find and exchange information.…”
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A Study on Ultraviolet Protection of 100% Cotton Knitted Fabric: Effect of Fabric Parameters by C. W. Kan

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Fuzzy Logic for Incidence Geometry by Alex Tserkovny

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