Une méthode d’analyse pour mesurer l’impact  des documents d’urbanisme sur la maîtrise de l’étalement urbain : l’exemple de La Rochelle, France by Frédéric Rousseaux

“…La Rochelle, France knew during the second half of the twentieth century an important increase of its permanent and seasonal population. Since 1999, the city is grouped together with 17 others municipalities (communes) into an intercommunality (cooperation group between communes) : La Rochelle’s community of Agglomeration (CDA-LR). …”
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Complex Analyses of Plankton Structure and Function by Karl E. Havens

“…In all of the methods described here, the investigator must take care when generalizing results and, in particular, carry out a sufficient number of replications to encompass both the major seasonal and spatial variation that occurs in the ecosystem.…”
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Social Strata Differentials in Reproductive Behavior among Agricultural Families in the Krummhörn Region (East Frisia, 1720-1874) by Kai P. Willführ, Charlotte Störmer

“…We also include information about the seasonal climate that may have had an effect on crop prices, as well as on infant mortality via other pathways. …”
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Sustainable Cold Chain Management: An Evaluation of Predictive Waste Management Models by Hajar Fatorachian, Kulwant Pawar

“…Trained on a multi-year sales dataset, the ARIMA model excelled in capturing seasonal patterns, while the MLR model effectively incorporated multivariable factors such as temperature, product type, and promotional activity. …”
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Diet breadth of fish communities in Vamanapuram river, Kerala, South India by S. David Kingston, Koos Vijverber, P. Natarajan, Tigist Ashagre Amare

“…The breadth of Barilius bakeri showed minor variations among the three seasons (1.00 to 1.20). Based on the diet breadth, the majority of the fishes in Vamanapuram River generalists. …”
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Bat population dynamics: multilevel model based on individuals' energetics by Paula Federico, Dobromir T. Dimitrov, Gary F. McCracken

“…Temperate-zone bats are subject to serious energetic constraints due to their high surface area to volume relations, the cost of temperature regulation, the high metabolic cost of flight, and the seasonality of their resources. We present a novel, multilevel theoretical approach that integrates information on bat biology collected at a lower level of organization, the individual with its physiological characteristics, into a modeling framework at a higher level, the population. …”
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Forecasting of commercial egg production in turkey with box-jenkins and winters exponential smoothing methods by Özlem Kaymaz

“…In this study, the predictions obtained by using the seasonal autoregressive integrated moving average (SARIMA) and Winter's exponential smoothing method and the forecast models were compared with RMSE, MAPE and MAE criterions.…”
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A reliance on human habitats is key to the success of an introduced predatory reptile. by Tom Major, Lauren Jeffrey, Guillem Limia Russel, Rebecca Bracegirdle, Antonio Gandini, Rhys Morgan, Benjamin Michael Marshall, John F Mulley, Wolfgang Wüster

“…To understand their persistence, we radio-tracked snakes daily over two active seasons, including high-frequency tracking of a subset of males. …”
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Analysis of Spatiotemporal Evolution Characteristics of Dry and Wet Events in Sichuan Province from 1960 to 2019 by HUANG Yi, LI Yunyun, FAN Jingjing, ZHENG Junwei, ZHANG Qing

“…Sichuan Province has a large population and experiences substantial regional climate heterogeneity,resulting in differential sensitivity of dryness and wetness to meteorological changes.Examining the spatiotemporal evolution characteristics of dryness and wetness can provide a basis for local departments to take countermeasures against climate change.The dry and wet events in Sichuan from 1960 to 2019 and their intergenerational and seasonal characteristics are identified and described based on run theory.The trend,significance,and periodicity of dry and wet events are described by the Mann-Kendall test and wavelet analysis.The results show that Sichuan Province experienced the highest frequency of dry and wet events in the 1990s and the lowest frequency of the events in the 2000s.Western Sichuan is the driest,while eastern Sichuan is the wettest,with both reaching peak dry and wet event counts in the 1980s.In Sichuan,drought events occur mainly in spring and winter,while humid events occur mainly in summer and autumn.Drought events occur mainly in western Sichuan in spring,and humid events occur mainly in western and northern Sichuan in autumn.The western and northern Sichuan areas tend to be humid,while the southern and eastern Sichuan areas tend to be dry.Except for southern Sichuan,the standardized precipitation evapotranspiration index (SPEI) sequence in summer shows a downward trend in other areas,while the downward trend of the SPEI sequence in winter slows down in western and eastern Sichuan areas.…”
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A Review of the Antiviral Susceptibility of Human and Avian Influenza Viruses over the Last Decade by Ding Yuan Oh, Aeron C. Hurt

“…However, the emergence of oseltamivir-resistant seasonal A(H1N1) viruses in 2008 demonstrated that NAI-resistant viruses could also emerge and spread globally in a similar manner to that seen for adamantane-resistant viruses. …”
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The Role Played by Blocking Systems over Europe in Abnormal Weather over Kingdom of Saudi Arabia in Summer 2010 by Y. Y. Hafez, M. Almazroui

“…The NCEP/NCAR Reanalysis data of several meteorological elements such as surface air temperature, wind, sea level pressure, relative humidity, outgoing long wave radiation, precipitation rate, and geopotential height at level 500 hpa) for summer seasons for the period 1948–2012 and in particular of summer 2010 have been used and analyzed through the present work. …”
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Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails by Confort Kollie, Philip Ngare, Bonface Malenje

“…Significant efforts have been devoted to achieving flexibility capable of handling complex dependence structures, capturing multiple distributional characteristics simultaneously, and addressing nonstationary patterns such as trends, seasonality, or change points. However, it remains a challenge when considering them in the context of long-range dependence. …”
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Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era. by Lathan Liou, Elizabeth Mostofsky, Laura Lehman, Soziema Salia, Francisco J Barrera, Ying Wei, Amal Cheema, Anuradha Lala, Andrew Beam, Murray A Mittleman

“…Model performance was also compared in a seasonally-matched pre-policy cohort. In the post-policy cohort, Random Survival Forests and Cox Gradient Boost had the highest performances with C-indices of 0.628 and 0.627. …”
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What was Killing Babies in Hermoupolis, Greece? An Investigation of Infant Mortality Using Individual Level Causes of Death, 1861–1930 by Michail Raftakis

“…While the prominent winter peak of neonatal mortality but also congenital-birth disorders could be partially associated with birth seasonality and/or low temperatures over the winter months. …”
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Synthetic wheat as a new source of flour quality under drought conditions: Associations with solvent retention capacity. by Niloofar Mokhtari, Mohammad Mahdi Majidi, Aghafakhr Mirlohi

“…A panel of 99 synthetic and common wheat was studied for quality and grain-related traits and drought tolerance under two different moisture conditions (water stress and normal) during two growing seasons. Results indicated different variations for most traits suggesting that the synthetic hexaploid wheat-derived lines (SHW-DL) panel contains valuable genes for drought tolerance improvement of wheat. …”
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Forces Influencing Technical Mathematics Curriculum Implementation: Departmental Heads’ Understanding of Their Practices to Enact Roles and Responsibilities by Mfundo Mondli Khoza, Annatoria Zanele Ngcobo

“…While in theory, DHs seem to believe in collaboration, they prefer working in silos and perceive that the success of the TMAT curriculum implementation should be at the hands of seasoned mathematics teachers. In addition, they seem to consider curriculum implementation and management to be solely about ensuring curriculum coverage. …”
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Impact of anthropogenic activities on the biodiversity of macrobenthos and benthic ecological quality in the mudflats of Hwangdo Island, South Korea: field surveys and remote sensi... by Jian Liang, Chae-Woo Ma

“…Furthermore, biota-environment matching (BIO-ENV) analysis, distance-based multivariate analysis for a linear model (DisLM), and distance-based redundancy analysis (dbRDA) all pinpointed NDBSI as the predominant factor impacting macrobenthic communities in the mudflats of Hwangdo Island. Seasonal changes in NDBSI were mainly attributed to variations in bare soil area resulting from agricultural activities on Hwangdo Island. …”
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Research on Monthly Runoff Forecast in Beijiang River Basin Based on Multi-model Ensemble Method by ZHONG Yixuan, LIAO Xiaolong, QUAN Xujian, YI Ling, CHEN Yan, LI Yuanyuan, XUE Jiao

“…The accuracy of the monthly runoff forecast plays a fairly important role in aspects such as optimal allocation of water resources,flood control and drought relief in a basin,water dispatching,and power generation optimization of reservoir groups.The commonly used methods for the monthly runoff forecast mainly include water balance models,mathematical statistics models,and artificial neural networks.Studies have shown that any single model cannot achieve the optimal monthly runoff forecast.Therefore,the multi-model ensemble method provides an effective way to eliminate model uncertainty and improve the accuracy of the monthly runoff forecast.Specifically,the research takes Pingshi,Lishi,Hengshi,and Shijiao stations in the Beijiang River Basin as the research object to analyze and compare the effects of the seasonal auto-regressive (SAR) model,two-parameter monthly water balance (TPMWB) model,and artificial neural network (ANN) model.Then,the multi-model ensemble method for the above-mentioned stations is proposed on the basis of the Bayesian model averaging (BMA) method.The research results reveal that compared with any of the three models,the multi-model ensemble method has significantly improved the accuracy of the monthly runoff forecast with a higher determination coefficient (DC) and a lower mean absolute percentage error (MAPE),and thus it can provide better support for decisions in dispatching in the basin.…”
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Florida Peaches: A Perfect Snack by Joy N. Rumble, Kara Harders, Kathryn Stofer

“…In this document, we will discuss the unique Florida peach, including its smaller size, seasonality, tree-ripened sweetness, and health benefits. …”
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The Relation between the Red Sea Trough and Heavy Precipitation in Iran by Sohrab Ghaedi, Saeid Movahedi, Abolfazl Masoodian

“…In cold and transition seasons, a surface trough is forms over the Red Sea which can affect its neighbor regions. …”
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