Leveraging the McGeer Criteria to Estimate the Frequency of Inappropriate Antibiotic Prescribing for Urinary and Respiratory Tract Infections Relative to the Onset of the COVID-19... by Paulina M. Colombo, Ferris A. Ramadan, Dilsharan Kaur, Darunee Armenta, Peter P. Patterson, Katherine D. Ellingson

“…Logistic regression models identified predictors of inappropriate prescribing, and an interrupted time-series analysis (ITS) examined trends relative to the pandemic onset (11 March 2020) in Arizona. …”
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Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis by Abhishek Dutta, Wanida Jinsart

“…Abstract Based on a time series analysis of the criteria pollutants, meteorological parameters, and COVID-19 positive cases, this paper explores the impact of epidemic prevention and control actions on air quality for five different periods of COVID-19 outbreak in Delhi, India. …”
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Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

“…The sensors of oil wells generate massive amounts of multivariate time-series data for surveillance engineers to analyze manually and have continuous insight into drilling operations. …”
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Exploring the potential of palm oil plantation waste for local communities using mixed methods by A. Ilhami, T. Hidayat, Riandi .

“…The prediction method uses the time series modeler method with the help of a statistical package for the social sciences 23. …”
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Research on power plant security issues monitoring and fault detection using attention based LSTM model by Shengda Wang, Zeng Dou, Danni Liu, Han Xu, Ji Du

“…Methodology For the purpose of this investigation, an attention-based long short-term memory (Att-LSTM) model was used for the categorization of time series actual data. The approach that has been developed is able to identify defects in photovoltaic arrays and inverters, which offers a dependable option for improving the efficiency and dependability of solar energy systems. …”
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Evaluation and Correction of GPM IMERG Precipitation Products over the Capital Circle in Northeast China at Multiple Spatiotemporal Scales by Wei Sun, Yonghua Sun, Xiaojuan Li, Tao Wang, Yanbing Wang, Qi Qiu, Zhitian Deng

“…According to this analysis, the GPM IMERG Final Run products at daily and monthly timescales have good detection ability and can provide data support for long-time series analyses in the Beijing-Tianjin-Hebei region.…”
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Evaluation of Zenith Tropospheric Delay Derived from Ray-Traced VMF3 Product over the West African Region Using GNSS Observations by Samuel Osah, Akwasi A. Acheampong, Collins Fosu, Isaac Dadzie

“…The IGS provides highly accurate and highly reliable daily time-series Zenith Tropospheric Delay (ZTD) products using data from the member sites towards the use of GNSS for precise geodetic, climatological, and meteorological applications. …”
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Worth the effort? A practical examination of random effects in hidden Markov models for animal telemetry data by Brett T. McClintock

“…I focused on sampling scenarios more typical of telemetry studies, which often consist of relatively long time series (30–250 observations per animal) for relatively few individuals (5–100 animals). …”
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Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian network by Yantao Ma, Jie Xue, Xinlong Feng, Jianping Zhao, Junhu Tang, Huaiwei Sun, Jingjing Chang, Longke Yan

“…In this study, we propose a framework that integrates remote sensing data, time series generative adversarial network (TimeGAN), dynamic Bayesian network (DBN), and optimization model to assess crop water productivity and optimize crop planting structure under limited water resources allocation in the Qira oasis. …”
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Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases by Daniele del Re, Luigi Palla, Paolo Meridiani, Livia Soffi, Michele Tancredi Loiudice, Martina Antinozzi, Maria Sofia Cattaruzza

“…Results show that EMS data mirrored the time series of cases or deaths in Lombardy, with good agreement also being found with seasonal flu outbreaks. …”
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Handshake antimicrobial stewardship for adult surgical patients by Abby Kosharek, Elizabeth Neuner, Emily Welch, Spenser January, Alice Bewley, Kevin Hsueh, Sena Sayood

“…Total antimicrobial usage significantly decreased between the pre- and post-implementation period (608 vs 542 d of therapy/1,000 d present, P = 0.004). An interrupted time series found that there was an immediate (P < 0.001) and sustained (P < 0.001) decrease in antibiotic spectrum index during the post-implementation period. …”
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Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska by L. Hartl, C. Schmitt, M. Stuefer, J. Jenckes, B. Page, C. Crawford, G. Schmidt, R. Yang, R. Hock

“…This informs the subsequent analysis of a homogenized, Rayleigh corrected time series of Landsat and Sentinel-2 images and seasonal patterns of turbidity.New Hydrological Insights for the RegionOur results provide the most comprehensive data set on water surface turbidity in Kachemak Bay to date and improve understanding of spatial and seasonal variability of glacial turbidity in a data sparse region. …”
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Geodetic Evidence of the Interannual Fluctuations and Long-Term Trends Over the Antarctic Ice Sheet Mass Change by Yuanjin Pan, Xiaohong Zhang, Jiashuang Jiao, Hao Ding, C. K. Shum

“…The principal component analysis method is utilized to extract common mode signals from GPS time series, while correcting for various surface loads. …”
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Exploring the nexus between economic growth and economic performance in Nepal by Yadav Mani Upadhyaya, Khom Raj Kharel, Suman Kharel, Basu Dev Lamichhane

“…Using E-Views 10, a descriptive and analytical research approach has been applied to analyze time series secondary data from 1990–2021 using an econometric model. …”
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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

“…We first study prediction of DTS time series using Vanilla LSTM and ARIMA models trained on prior history of the same FOS that is used for testing. …”
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Prevalence of Malaria among Adults in Ethiopia: A Systematic Review and Meta-Analysis by Fasil Adugna Kendie, Tamirat Hailegebriel W/kiros, Endalkachew Nibret Semegn, Melaku Wale Ferede

“…The pooled prevalence estimates with 95% confidence interval were analyzed using a random-effect model, and the possible source of heterogeneity across studies was indicated through subgroup analysis, inverse of variance (I2), and time series analysis. The presence of publication bias was evaluated using funnel plots and Egger’s regression test. …”
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A New Algorithm for Extracting Winter Wheat Planting Area Based on Ownership Parcel Vector Data and Medium-Resolution Remote Sensing Images by Huaming Xie, Qianjiao Wu, Ting Zhang, Zhende Teng, Hao Huang, Ying Shu, Shaoru Feng, Jing Lou

“…It is a feasible direction for precision agricultural subsidies, but it is difficult to collect large-scale parcel data and obtain high spatial resolution or time-series remote sensing images in mass production. …”
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An Apparent Thermal Inertia Based Trapezoid Model for Downscaling ESA CCI Soil Moisture Products by Shulin Li, Minfeng Xing, Taifeng Dong

“…Further analysis based on the time series SM indicated that both the CCI SM and the downscaled SM are in good agreement in terms of temporal evolution. …”
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Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks by Yuchen Liu, Xide Cheng, Kunyu Han, Zhechun Liu, Baiwei Feng

“…Simulations of a standard container ship’s motion time series under complex sea state conditions were carried out. …”
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A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features by Ziyao Ma, Zhongliang Deng, Zidu Tian, Yingjian Zhang, Jizhou Wang, Jilong Guo

“…Overall, this new network architecture combines the capabilities of local feature extraction, global feature preservation, and time series modeling, resulting in superior performance in the 5G channel impulse response (CIR) signal classification task, improving the accuracy of the model and accurately identifying the key characteristics of multipath signal propagation. …”
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