Article
Immunology
Luigi Roberto Biasio, Guglielmo Bonaccorsi, Chiara Lorini, Daniela Mazzini, Sergio Pecorelli
Summary: Rapid online surveys are essential for monitoring public attitudes and knowledge during infectious disease outbreaks. A study in Italy found that interactive vaccine literacy levels were significantly higher in January 2021 compared to June 2020, and over 90% of participants in both surveys expressed willingness to be vaccinated against COVID-19.
Article
Geriatrics & Gerontology
Stefan Schneider, Doerte U. Junghaenel, Erik Meijer, Arthur A. Stone, Bart Orriens, Haomiao Jin, Elizabeth M. Zelinski, Pey-Jiuan Lee, Raymond Hernandez, Arie Kapteyn
Summary: This study examined whether response times (RTs) in online questionnaires can differentiate between cognitively normal respondents and those with cognitive impairment, no dementia (CIND). By analyzing RT parameters from 37 surveys administered online over 6.5 years, it was found that all three RT parameters were significantly associated with CIND, and could predict CIND over periods of up to 6.5, 4.5, and 1.5 years.
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES
(2023)
Article
Computer Science, Interdisciplinary Applications
Christoph Kern, Jan Karem Hoehne, Stephan Schlosser, Melanie Revilla
Summary: This study uses smartphone sensor data to predict respondents' motion conditions. The results show that active movement during surveys is rare, with longer completion times for moving respondents, but little impact on data quality.
SOCIAL SCIENCE COMPUTER REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Angelica M. Maineri, Christof Van Mol
Summary: This study examined the impact of web surveys in higher education institutions and found that using the national language in subject lines can increase student response rates, while setting a longer deadline might be more beneficial.
SOCIAL SCIENCE COMPUTER REVIEW
(2022)
Article
Biotechnology & Applied Microbiology
Luigi Roberto Biasio, Guglielmo Bonaccorsi, Chiara Lorini, Sergio Pecorelli
Summary: The study shows that people have positive perceptions of future COVID-19 vaccines, which are related to their vaccine literacy levels. The research also confirms that web surveys are an effective method to evaluate and track attitudes during infectious disease outbreaks.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2021)
Article
Engineering, Industrial
Hajar Nouinou, Taha Arbaoui, Alice Yalaoui
Summary: This study addresses the semi-online scheduling problem on a single machine, focusing on minimizing the total weighted completion time. The proposed semi-online algorithm is proven to be the best possible solution for this problem, and a new lower bound on the competitive ratio is developed. Using competitive analysis, the algorithm is shown to have a competitive ratio that matches the lower bound.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Luis Roldao, Raoul de Charette, Anne Verroust-Blondet
Summary: This paper surveys the progress of semantic scene completion (SSC), highlighting the unresolved challenges and evaluating the performance of state-of-the-art techniques on popular datasets.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2022)
Article
Astronomy & Astrophysics
N. Jackson, S. Badole, J. Morgan, R. Chhetri, K. Prusis, A. Nikolajevs, L. Morabito, M. Brentjens, F. Sweijen, M. Iacobelli, E. Orru, J. Sluman, R. Blaauw, H. Mulder, P. van Dijk, S. Mooney, A. Deller, J. Moldon, J. R. Callingham, J. Harwood, M. Hardcastle, G. Heald, A. Drabent, J. P. McKean, A. Asgekar, I. M. Avruch, M. J. Bentum, A. Bonafede, W. N. Brouw, M. Brueggen, H. R. Butcher, B. Ciardi, A. Coolen, A. Corstanje, S. Damstra, S. Duscha, J. Eisloeffel, H. Falcke, M. Garrett, F. de Gasperin, J-M Griessmeier, A. W. Gunst, M. P. van Haarlem, M. Hoeft, A. J. van der Horst, E. Juette, L. V. E. Koopmans, A. Krankowski, P. Maat, G. Mann, G. K. Miley, A. Nelles, M. Norden, M. Paas, V. N. Pandey, M. Pandey-Pommier, R. F. Pizzo, W. Reich, H. Rothkaehl, A. Rowlinson, M. Ruiter, A. Shulevski, D. J. Schwarz, O. Smirnov, M. Tagger, C. Vocks, R. J. van Weeren, R. Wijers, O. Wucknitz, P. Zarka, J. A. Zensus, P. Zucca
Summary: The Low-Frequency Array (LOFAR) Long-Baseline Calibrator Survey (LBCS) conducted between 2014 and 2019 provides a complete set of suitable calibrators for the LOFAR array. This survey consists of 30006 observations of 24713 sources and is used to estimate the phase coherence time of the ionosphere for LOFAR international baselines.
ASTRONOMY & ASTROPHYSICS
(2022)
Article
Health Care Sciences & Services
Jorg Matthes, Kevin Koban, Ariadne Neureiter, Anja Stevic
Summary: The study suggests that online self-disclosure may play a crucial role in coping with pandemic stressors, leading to increased happiness during the crisis. While it may not alleviate fears or improve psychological well-being, online self-disclosure seems to positively impact happiness levels.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Evgeny Nikulchev, Alexander Gusev, Dmitry Ilin, Nurziya Gazanova, Sergey Malykh
Summary: Web surveys are widely used for gathering customer opinions and for research purposes. Ensuring respondents' authenticity is crucial. Analysis showed that respondents tend to finish long surveys quickly, leading to quicker reactions. Two neural network models were built to identify violations of authenticity or random clicking behavior based on user reaction time.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Chunsheng Liu, Tao Wu, Zhifei Li, Tao Ma, Jun Huang
Summary: Reliable data measurement is crucial for IoT applications. This paper studies accurate recovery of missing IoT measurement data in the presence of outliers. An updatable framework based on dynamic CP decomposition is built and an efficient algorithm called T-MUST is introduced to solve the optimization problem. Experimental results validate the superiority of T-MUST in both efficiency and effectiveness.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Nursing
Grace McKenzie McBride, Robyn Stevenson, Gabriella Zizzo, Alice R. Rumbold, Lisa H. Amir, Amy K. Keir, Luke Edward Grzeskowiak
Summary: This study surveyed Australian birth parents to evaluate their knowledge and perception of galactagogue use during breastfeeding. The results showed widespread recognition and use of galactagogues, with participants perceiving them as safe. Internet, lactation support providers, and midwives were the main sources of information for participants.
JOURNAL OF HUMAN LACTATION
(2022)
Article
Immunology
Luka Petravic, Rok Arh, Tina Gabrovec, Lucija Jazbec, Nika Rupcic, Nina Staresinic, Lea Zorman, Ajda Pretnar, Andrej Srakar, Matjaz Zwitter, Ana Slavec
Summary: The study found that those with a higher intention to get vaccinated against COVID-19 were mainly men, older respondents, physicians, and medical students, while nurses and technicians were less likely to get vaccinated. Skeptics were mainly divided into those doubting the quality of the vaccine and those who reported personal experiences with side effects of prior vaccinations.
Article
Psychology, Mathematical
Carlos Ochoa, Melanie Revilla
Summary: This paper explores the willingness of participants to participate in web surveys triggered by tracking software, and finds a high level of willingness, primarily influenced by incentive levels.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Computer Science, Artificial Intelligence
Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam
Summary: Depth completion is crucial for various applications such as autonomous driving, 3D reconstruction, augmented reality, and robot navigation, as it predicts dense depth from sparse maps captured by depth sensors like LiDARs. Deep learning-based solutions have shown remarkable success and dominance in this task. This article presents a comprehensive literature review that covers network architectures, loss functions, benchmark datasets, and learning strategies, introducing a novel taxonomy to categorize existing methods. Additionally, it provides a quantitative comparison of model performance on indoor and outdoor datasets and discusses challenges and future research directions.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)