Results 21 to 30 of about 2,621,042 (198)

Adult-born granule cells improve stimulus encoding and discrimination in the dentate gyrus

eLife, 2023
Heterogeneity plays an important role in diversifying neural responses to support brain function. Adult neurogenesis provides the dentate gyrus with a heterogeneous population of granule cells (GCs) that were born and developed their properties at ...
Diego M Arribas, Antonia Marin-Burgin, Luis G Morelli   +2 more
doaj   +1 more source

Analysis of Bus Service Reliability Using A VL Data: Case Study of the City of Koper

Promet (Zagreb), 2008
This article uses a statistical approach to examine the bussystem reliability in the city of Koper. Four statistical modelswere developed using OLS to explain the effect of different variableson system reliability.
Dejan Paliska, Jurij Kolenc
doaj   +1 more source

Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM

Remote Sensing, 2019
Landslides are typically triggered by earthquakes or rainfall occasionally a rainfall event followed by an earthquake or vice versa. Yet, most of the works presented in the past decade have been largely focused at the single event-susceptibility model ...
Jie Dou, Ali P. Yunus, Dieu Tien Bui, Mehebub Sahana, Chi-Wen Chen, Zhongfan Zhu, Weidong Wang, Binh Thai Pham   +7 more
doaj   +1 more source

PAACDA: Comprehensive Data Corruption Detection Algorithm

IEEE Access, 2023
With the advent of technology, data and its analysis are no longer just values and attributes strewn across spreadsheets, they are now seen as a stepping stone to bring about revolution in any significant field.
Charvi Bannur, Chaitra Bhat, Kushagra Singh, Shrirang Ambaji Kulkarni, Mrityunjay Doddamani   +4 more
doaj   +1 more source

Estimation of the Daily Variability of Aggregate Wind Power Generation in Alberta, Canada

Energies, 2019
This paper describes a hierarchy of increasingly complex statistical models for wind power generation in Alberta applied to wind power production data that are publicly available. The models are based on combining spatial and temporal correlations.
Yilan Luo, Deniz Sezer, David Wood, Mingkuan Wu, Hamid Zareipour   +4 more
doaj   +1 more source

Evaluating Predictive Models for Three Green Finance Markets: Insights from Statistical vs. Machine Learning Approaches

Computation
As climate change has become of eminent importance in the last two decades, so has interest in industry-wide carbon emissions and policies promoting a low-carbon economy.
Sonia Benghiat, Salim Lahmiri
doaj   +1 more source

PREDICTIVE STATISTICAL MODELS OF SURFACE MELT WATER RUNOFF ON A SLOPE IN THE AZOV ZONE ROSTOV REGION

Мелиорация и гидротехника
Purpose: to conduct a statistical analysis of the relationship between a number of natural factors and snow evaporation, melt water surface runoff during the snowmelt period on a slope with ordinary chernozem in Rostov region for various agricultural ...
Ivan V. Batishchev, Isida N. Ilyinskaya, Victor M. Ignatev   +2 more
doaj   +1 more source

Growth prediction of under-5 children using statistical models for eastern region of India

Indian Journal of Community Medicine, 2022
Background: Percentile curves are often used to assess variances in children's growth pattern. This study is aimed at explaining effect of the respondents' sociodemographic characteristics on under-5 children's birth weight and identifying most suitable ...
Pradyuman Verma, Jang Bahadur Prasad
doaj   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

Stressful Events Reported by Childhood Cancer Survivors and Community Controls From the St. Jude Lifetime (SJLIFE) Cohort: A Mixed Method Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware, Colter K. Clayton, Fang Wang, Sedigheh Mirzaei, Kyla Shelton, Tara M. Brinkman, Victoria Willard, Katianne M. Howard Sharp, Kevin Krull, Lindsay F. Schwartz, Melissa M. Hudson, Gregory T. Armstrong, Kirsten K. Ness, Rachel T. Webster   +13 more
wiley   +1 more source