Estimation of Suspended Sediment Concentration from Remote Sensing and In Situ Measurement over Lake Tana, Ethiopia by Zelalem R. Womber, Fasikaw A. Zimale, Mebrahtom G. Kebedew, Bekalu W. Asers, Nikole M. DeLuca, Christian D. Guzman, Seifu A. Tilahun, Benjamin F. Zaitchik

“…Applying the developed regression model, a 10-year time series of SSC from 2008–2017 for May-August was estimated and the trend was tested using the Mann–Kendall trend test. …”
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Lower respiratory tract infection admissions and deaths among children under 5 years in public sector facilities in the Western Cape Province, South Africa, before and during the C... by K Kehoe, E Morden, N Zinyakatira, A Heekes, H E Jones, S R Walter, T Jacobs, J Murray, H Buys, M T Redaniel, M-A Davies

“…We estimated changes in rates and trends of LRTI admissions during the pandemic compared with pre‐pandemic period using interrupted time series analysis, adjusting for key characteristics. …”
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A Phenologically Simplified Two-Stage Clumping Index Product Derived from the 8-Day Global MODIS-CI Product Suite by Ge Gao, Ziti Jiao, Zhilong Li, Chenxia Wang, Jing Guo, Xiaoning Zhang, Anxin Ding, Zheyou Tan, Sizhe Chen, Fangwen Yang, Xin Dong

“…In this study, we applied the discrete Fourier transform and an improved dynamic threshold method to estimate the start of season (SOS) and end of season (EOS) from the CI time series and indicated that the CI exhibits significant seasonal variation characteristics that are generally consistent with the MODIS land surface phenology (LSP) product (MCD12Q2), although seasonal differences between them probably exist. …”
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A novel ddPCR™ assay for eDNA detection and quantification of Greater Amberjack Seriola dumerilli and three congeners in US waters: challenges and application to fisheries independ... by P. Joana Dias, Ryan Lehman, Bryan L. Huerta-Beltrán, Ana Wheeler, Crystal L. Hightower, Jessica Heise, Theodore Switzer, Clint Rhode, J. Marcus Drymon, Lynne Stokes, Mark A. Albins, Sean Powers, Nicole Phillips

“…The high correlation obtained between ROV and eDNA data collected between gear deployments adds to a growing number of studies demonstrating the potential of eDNA as an indicator of abundance for fisheries stock assessments. Time-series data from a carefully designed eDNA survey, that estimates relative abundance, could be used as an index of relative abundance for the S. dumerili stock assessment. …”
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Age-related changes in brain signal variability in autism spectrum disorder by Priyanka Sigar, Nicholas Kathrein, Elijah Gragas, Lauren Kupis, Lucina Q. Uddin, Jason S. Nomi

“…BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. …”
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Revisiting Near-infrared Features of Kilonovae: The Importance of Gadolinium by Salma Rahmouni, Masaomi Tanaka, Nanae Domoto, Daiji Kato, Kenta Hotokezaka, Wako Aoki, Teruyuki Hirano, Takayuki Kotani, Masayuki Kuzuhara, Motohide Tamura

“…Future space-based time-series observations of kilonova spectra will allow the identification of Gd iii lines.…”
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Evaluating the World Health Organization’s Hearts Model for Hypertension and Diabetes Management: A Pilot Implementation Study in Guatemala by Irmgardt Alicia Wellmann, Luis Fernando Ayala, Taryn M. Valley, Vilma Irazola, Mark D. Huffman, Michele Heisler, Peter Rohloff, Rocío Donis, Eduardo Palacios, Manuel Ramírez-Zea, David Flood

“…When baseline data were available, we analyzed secondary outcomes as the net change from baseline or using an interrupted time series approach. Results: The study enrolled 964 patients, of whom 58.8% had hypertension only, 30.4% had diabetes only, and 10.8% had both conditions. …”
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Foreign Direct Investment and Violent Crimes: Evidence from the Iranian Provinces by gholamreza zamanian, Frnaz Dehghan, foruzan falahati, ali davari

“…In other words, in the estimation of regression models in the form of time series, it is critically important to check the stationarity of the variables, and for this purpose, Levin, Lin and Chu, Im, Pesaran and Shin, Fisher and Fisher tests were used in this study. …”
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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

“…However, in terms of model interpretability, decision tree methods provide the most intuitive display of the predictive details of the model. For the time series data of patients’ baseline CT, CT after 2 treatment cycles, and CT after 4 treatment cycles, long short-term memory (LSTM) modeling yielded better predictive models. …”
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Dynamic changes and future trend predictions of the global burden of anxiety disorders: analysis of 204 countries and regions from 1990 to 2021 and the impact of the COVID-19 pande... by Si Chen, Wei Huang, Min Zhang, Yan Song, Chunshan Zhao, Hongwei Sun, Yanyu Wang, Jihong Wang, Yali Sun, Lei Zhou, Yan Zhu, HongYuan Wang, ZhengYang Xu, YuRui Bai, Cheng Chang

“…Previous studies have not examined the impact of the COVID-19 pandemic on anxiety disorders over the entire time series, nor have they offered predictions regarding future trends of global anxiety disorders in the aftermath of the pandemic. …”
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Wireless Sensor Network of Typical Land Surface Parameters and Its Preliminary Applications for Coarse-Resolution Remote Sensing Pixel by Baocheng Dou, Jianguang Wen, Xiuhong Li, Qiang Liu, Jingjing Peng, Qing Xiao, Zhigang Zhang, Yong Tang, Xiaodan Wu, Xingwen Lin, Dongqin You, Hua Li, Li Li, Yelu Zeng, Erli Cai, Jialin Zhang

“…The system consists of three subnetworks that are RadNet, SoilNet, and VegeNet. Time series observations of typical land surface parameters, including UVR, PAR, SWR, LWR, albedo, and land surface temperature (LST) from RadNet, multilayer soil moisture and soil temperature from SoilNet, and fraction of vegetation cover (FVC), clumping index (CI), and leaf area index (LAI) from VegeNet, have been obtained and shared on the web. …”
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Real-time mechanism-based interventions for daily alcohol challenges: Protocol for ecological momentary assessment and intervention by Shuyan Liu, Matthias Haucke, Rika Groß, Kay Schneider, Jaekyung Shin, Fabian Arntz, Patrick Bach, Tobias Banaschewski, Christian Beste, Lorenz Deserno, Ulrich Ebner-Priemer, Tanja Endrass, Marvin Ganz, Ali Ghadami, Marco Giurgiu, Andreas Heinz, Falk Kiefer, Reinhold Kliegl, Bernd Lenz, Marta Anna Marciniak, Andreas Meyer-Lindenberg, Andreas B. Neubauer, Michael Rapp, Michael N. Smolka, Jens Strehle, Rainer Spanagel, Gianna Spitta, Heike Tost, Henrik Walter, Hilmar Zech, Dominic Reichert, Markus Reichert

“…Conclusion Our real-life intervention platform endeavors to serve as a robust tool for discerning the directionality of the effects from time series data in everyday life influences on alcohol use for the future study. …”
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Call for Papers: Demography Prize for Young Researches 2016/2017 by IF and FRFG

“…• In a cross-sectional or time-series comparison, how well do “ageing societies” such as Germany, Sweden or Finland respond to the challenges of intergenerational justice? …”
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GravIS: mass anomaly products from satellite gravimetry by C. Dahle, E. Boergens, I. Sasgen, I. Sasgen, T. Döhne, S. Reißland, H. Dobslaw, V. Klemann, M. Murböck, M. Murböck, R. König, R. König, R. Dill, M. Sips, U. Sylla, A. Groh, M. Horwath, F. Flechtner, F. Flechtner

“…These mass change data, available in both a gridded representation and as time series for predefined regions, are routinely updated when new monthly GRACE/-FO gravity field models become available. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…These networks use memory cells to hold important information over time, which makes them suitable for ordinal data such as time series. In contrast, XGBoost and MLP are not specifically designed to handle temporal dependencies and their performance is more limited on this type of data. …”
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Semi-analytical methodology for fretting wear evaluation of unlubricated pitch bearing raceways under operative and non-operative periods by D. Cubillas, M. Olave, I. Llavori, I. Ulacia, J. Larrañaga, A. Zurutuza, A. Lopez

“…The analysis is performed following the energy-based wear model and the calculation of a total of 30 times series of 10 min of duration concerning winds speeds from 3 to 25 m s<span class="inline-formula">⁻¹</span>. …”
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