Spectral Signatures of Flow Regime Alteration by Dams Across the United States by Dol Raj Chalise, A. Sankarasubramanian, Julian D. Olden, Albert Ruhi

“…Based on the focal reservoirs, we illustrate that alteration of flow periodicity is time varying, with dam operations (e.g., daily peaking vs. baseload operation), changes in dam capacity, and environmental policies shifting the relative importance of periodicities over time. …”
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Stochastically Forced Ensemble Dynamic Mode Decomposition for Forecasting and Analysis of Near-Periodic Systems by Daniel Dylewsky, David Barajas-Solano, Tong Ma, Alexandre M. Tartakovsky, J. Nathan Kutz

“…Central to this approach is the insight that grid load, like many observables on complex real-world systems, has an “almost-periodic” character, i.e., a continuous Fourier spectrum punctuated by dominant peaks, which capture regular (e.g., daily or weekly) recurrences in the dynamics. …”
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Contemplative practices behavior is positively associated with well-being in three global multi-regional Stanford WELL for life cohorts by Rich, T, Chrisinger, B, Kaimal, R, Winter, S, Hedlin, H, Min, Y, Zhao, X, Zhu, S, You, S-L, Sun, C-A, Lin, J-T, Hsing, A, Heaney, C

“…Thus, it is critical to holistically consider these behaviors, extending them beyond a simple uni-dimensional measure (e.g., daily mindfulness meditation practice). We developed an integrative measure of four types of contemplative practice and found it to be significantly associated with a multi-dimensional measure of well-being. …”

Accuracy of the Dynamic Acoustic Map in a Large City Generated by Fixed Monitoring Units by Roberto Benocci, Chiara Confalonieri, Hector Eduardo Roman, Fabio Angelini, Giovanni Zambon

“…Traffic noise data collected by the monitoring stations, each one representative of a number of roads (groups) sharing similar characteristics (e.g., daily traffic flow), are used to build-up a “real-time” noise map. …”
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Healthcare costs attributable to smoking in California, U.S. for different racial/ethnic communities by Wendy Max, Brad Stark, Hai-Yen Sung

“…Conclusions Healthcare costs attributable to smoking differ substantially by racial/ethnic group, reflecting differences in population size, smoking prevalence, and smoking patterns (e.g. daily vs. nondaily smoking and menthol use). Tobacco control efforts to reduce the economic burden of smoking need to take into account these differences in developing effective programs targeted to specific groups.…”
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Model-based estimates of chikungunya epidemiological parameters and outbreak risk from varied data types by Alexander D. Meyer, Sandra Mendoza Guerrero, Natalie E. Dean, Kathryn B. Anderson, Steven T. Stoddard, T. Alex Perkins

“…Assessing the factors responsible for differences in outbreak severity for the same pathogen is a challenging task, since outbreak data are often incomplete and may vary in type across outbreaks (e.g., daily case counts, serology, cases per household). …”
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Phase I dose-escalation oncology trials with sequential multiple schedules by Burak Kürsad Günhan, Sebastian Weber, Abdelkader Seroutou, Tim Friede

“…Methods Here, we consider sequential phase I trials, where the trial proceeds with a new schedule (e.g. daily or weekly dosing) once the dose escalation with another schedule has been completed. …”
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Assessing potential sustainability benefits of micromobility: a new data driven approach by Antonio Comi, Antonio Polimeni

“…Micromobility can help to replace trips by individual private cars (e.g., daily short round trips) as well as to improve coverage and accessibility of transit services, and, subsequently, to reduce the traffic impacts (e.g., pollutant emissions). …”
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A Brief Version of the Implicit Positive and Negative Affect Test (IPANAT-18) by G. P. Hernandez, S. Edo, M. Quirin, T. Rovira

“…In sum, the IPANAT-18 showed satisfactory psychometric properties and constitutes a useful tool for economically measuring affective processes such as in experimental and economical multiple assessment (e.g., daily diary) settings.…”
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Identifying high crash risk segments in rural roads using ensemble decision tree-based models by Maryam Iranmanesh, Seyedehsan Seyedabrishami, Sara Moridpour

“…Four groups of influential factors, including traffic parameters (e.g. traffic flow, speed, time headway), road characteristics (e.g. road type, number of lanes), weather data (e.g. daily rainfall, snow depth, temperature), and calendar variables (e.g. day of the week, public holidays, month, year) are used for model calibration. …”
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Interventions to increase physical activity level in patients with whole spectrum chronic kidney disease: a systematic review and meta-analysis by Huachun Zhang, Hui Wang, Liuyan Huang, Yan Bai, Fan Zhang

“…Studies of clinical interventions based on assessing physical activity outcomes (e.g., daily steps, time spent doing physical activity) in patients with whole-spectrum CKD were included. …”
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Stacking Ensemble Method with the RNN Meta-Learner for Short-Term PV Power Forecasting by Andi A. H. Lateko, Hong-Tzer Yang, Chao-Ming Huang, Happy Aprillia, Che-Yuan Hsu, Jie-Lun Zhong, Nguyễn H. Phương

“…To accommodate uncertain weather, a daily clustering method based on statistical features, e.g., daily average, maximum, and standard deviation of PV power is applied in the data sets. …”
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Remotely sensed terrestrial open water evaporation by Joshua B. Fisher, Matthew B. Dohlen, Gregory H. Halverson, Jacob W. Collison, Christopher Pearson, Justin L. Huntington

“…However, this sensitivity minimizes with temporal integration (e.g., daily RMSE = 1.2–1.5 mm·day−1). To benchmark AquaSEBS, we ran a suite of 11 machine learning models, but found that they did not significantly improve on the process-based formulation of AquaSEBS suggesting that the remaining error is from a combination of the in situ evaporation measurements, forcing data, and/or scaling mismatch; the machine learning models were able to predict error well in and of itself (r2 = 0.74). …”
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GI factors, potential to predict prostate motion during radiotherapy; a scoping review by S.E. Alexander, U. Oelfke, H.A. McNair, A.C. Tree

“…We proffer that patient specific measurement of these GI factors could predict motion uncertainty during radiotherapy, facilitating personalised care by optimising treatment technique e.g., daily adaption or via bespoke patient pre-habilitation and preparation. …”
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A qualitative study of interest in and preferences for potential medications to treat methamphetamine use disorder by Karla D. Wagner, Charles Marks, Phillip Fiuty, Robert W. Harding, Kimberly Page

“…; and (3) what would their ideal treatment route and schedule be (e.g. daily pill, monthly injection)?. Results We interviewed 20 people reporting methamphetamine use in the past 3 months (10 from Reno, Nevada, USA and 10 from Rio Arriba County, New Mexico, USA). …”
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Automated Tethered Profiler for Hydrophysical and Bio-Optical Measurements in the Black Sea Carbon Observational Site by Alexander G. Ostrovskii, Mikhail V. Emelianov, Oleg Y. Kochetov, Vyacheslav V. Kremenetskiy, Dmitry A. Shvoev, Sergey V. Volkov, Andrey G. Zatsepin, Nikolai M. Korovchinsky, Vladimir M. Olshanskiy, Alexander V. Olchev

“…Biogeochemical cycles of carbon transformation throughout the euphotic zone of the sea are controlled by physical processes, e.g., daily thermocline, variation in solar irradiance, thermohaline convection, and intermittent mixing. …”
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Dihydroartemisinin-piperaquine or sulphadoxine-pyrimethamine for the chemoprevention of malaria in children with sickle cell anaemia in eastern and southern Africa (CHEMCHA): a pro... by Thandile Nkosi-Gondwe, Bjarne Robberstad, Robert Opoka, Dennis Kalibbala, Joseph Rujumba, Lufina Tsirizani Galileya, Pamela Akun, Winnie Nambatya, John Ssenkusu, Feiko TerKuile, Kamija Phiri, Richard Idro

“…Thus, chemoprophylaxis for malaria is an important preventive strategy, but current regimes are either sub-optimally effective (e.g. monthly sulphadoxine-pyrimethamine, SP) or difficult to adhere to (e.g. daily proguanil). We propose dihydroartemisinin-piperaquine (DP) as the agent with the most potential to be used across Africa. …”
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Adaptive Bayesian Learning and Forecasting of Epidemic Evolution—Data Analysis of the COVID-19 Outbreak by Domenico Gaglione, Paolo Braca, Leonardo Maria Millefiori, Giovanni Soldi, Nicola Forti, Stefano Marano, Peter K. Willett, Krishna R. Pattipati

“…We show that we can reliably estimate and forecast the evolution of the infections from daily - and possibly uncertain - publicly available information provided by authorities, e.g., daily numbers of infected and recovered individuals. …”
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Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model by Yuan Wang, Qiangqiang Yuan, Liye Zhu, Liangpei Zhang

“…At present, data fusion frameworks only provided ground-level O3 concentrations at coarse spatial (e.g., 10 km) or temporal (e.g., daily) resolutions. As photochemical pollution continues increasing over China in the last few years, a high-spatial–temporal-resolution product is required to enhance the comprehension of ground-level O3 formation mechanisms. …”
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Heating and Lighting Load Disaggregation Using Frequency Components and Convolutional Bidirectional Long Short-Term Memory Method by Mingzhe Zou, Shuyang Zhu, Jiacheng Gu, Lidija M. Korunovic, Sasa Z. Djokic

“…This paper introduces an approach in which periodical changes in the total demands (e.g., daily, weekly, and seasonal variations) are disaggregated into corresponding frequency components and correlated with the same frequency components in the meteorological variables (e.g., temperature and solar irradiance), allowing to select combinations of frequency components with the strongest correlations as the additional explanatory variables. …”
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