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Artículos de revistas sobre el tema "Multi-variate observations"

Autor: Grafiati

Publicado: 30 de noviembre de 2024

Última modificación: 31 de julio de 2025

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1

Alazman, Ibtehal, Badr Saad T. Alkahtani та Shahid Ahmad Wani. "Certain Properties of Δh Multi-Variate Hermite Polynomials". Symmetry 15, № 4 (2023): 839. http://dx.doi.org/10.3390/sym15040839.

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The research described in this paper follows the hypothesis that the monomiality principle leads to novel results that are consistent with past knowledge. Thus, in line with prior facts, our aim is to introduce the Δh multi-variate Hermite polynomials ΔhHm(q1,q2,⋯,qr;h). We obtain their recurrence relations by using difference operators. Furthermore, symmetric identities satisfied by these polynomials are established. The operational rules are helpful in demonstrating the novel characteristics of the polynomial families, and thus the operational principles satisfied by these polynomials are de

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2

FRITZNER, SINDRE M., RUNE G. GRAVERSEN, KEGUANG WANG, and KAI H. CHRISTENSEN. "Comparison between a multi-variate nudging method and the ensemble Kalman filter for sea-ice data assimilation." Journal of Glaciology 64, no. 245 (2018): 387–96. http://dx.doi.org/10.1017/jog.2018.33.

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ABSTRACTIncreasing ship traffic and human activity in the Arctic has led to a growing demand for accurate Arctic weather forecast. High-quality forecasts obtained by models are dependent on accurate initial states achieved by assimilation of observations. In this study, a multi-variate nudging (MVN) method for assimilation of sea-ice variables is introduced. The MVN assimilation method includes procedures for multivariate update of sea-ice volume and concentration, and for extrapolation of observational information spatially. The MVN assimilation scheme is compared with the Ensemble Kalman Fil

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3

Rannik, Ü., N. Altimir, I. Mammarella, et al. "Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables." Atmospheric Chemistry and Physics Discussions 12, no. 5 (2012): 12715–58. http://dx.doi.org/10.5194/acpd-12-12715-2012.

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Abstract. This study scrutinizes a decade-long series of ozone deposition measurements in a boreal forest in search for the signature and relevance of the different deposition processes. Canopy-level ozone flux measurements were analysed for deposition characteristics and partitioning into stomatal and non-stomatal fractions, focusing on growing season day-time data. Ten years of measurements enabled the analysis of ozone deposition variation at different time- scales, including daily to inter-annual variation as well as the dependence on environmental variables and concentration of biogenic v

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Rannik, Ü., N. Altimir, I. Mammarella, et al. "Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables." Atmospheric Chemistry and Physics 12, no. 24 (2012): 12165–82. http://dx.doi.org/10.5194/acp-12-12165-2012.

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Abstract. This study scrutinizes a decade-long series of ozone deposition measurements in a boreal forest in search for the signature and relevance of the different deposition processes. The canopy-level ozone flux measurements were analysed for deposition characteristics and partitioning into stomatal and non-stomatal fractions, with the main focus on growing season day-time data. Ten years of measurements enabled the analysis of ozone deposition variation at different time-scales, including daily to inter-annual variation as well as the dependence on environmental variables and concentration

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5

Wani, Shahid Ahmad, Ibtehal Alazman та Badr Saad T. Alkahtani. "Certain Properties and Applications of Convoluted Δh Multi-Variate Hermite and Appell Sequences". Symmetry 15, № 4 (2023): 828. http://dx.doi.org/10.3390/sym15040828.

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This study follows the line of research that by employing the monomiality principle, new outcomes are produced. Thus, in line with prior facts, our aim is to introduce the Δh multi-variate Hermite Appell polynomials ΔhHAm[r](q1,q2,⋯,qr;h). Further, we obtain their recurrence sort of relations by using difference operators. Furthermore, symmetric identities satisfied by these polynomials are established. The operational rules are helpful in demonstrating the novel characteristics of the polynomial families and thus operational principle satisfied by these polynomials is derived and will prove b

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6

Brassington, Gary B., and Prasanth Divakaran. "The theoretical impact of remotely sensed sea surface salinity observations in a multi-variate assimilation system." Ocean Modelling 27, no. 1-2 (2009): 70–81. http://dx.doi.org/10.1016/j.ocemod.2008.12.005.

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7

Ciani, Daniele, Sarah Asdar, and Bruno Buongiorno Nardelli. "Improved Surface Currents from Altimeter-Derived and Sea Surface Temperature Observations: Application to the North Atlantic Ocean." Remote Sensing 16, no. 4 (2024): 640. http://dx.doi.org/10.3390/rs16040640.

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We present a study on the ocean surface currents reconstruction by merging Level-4 (L4, gap-free) altimeter-derived geostrophic currents and satellite sea surface temperature. Building upon past studies on the multi-variate reconstruction of geostrophic currents from satellite observations, we regionalized and optimized an algorithm to improve the altimeter-derived surface circulation estimates in the North Atlantic Ocean. A ten-year-long time series (2010–2019) is presented and validated by means of in situ observations. The newly optimized algorithm allowed us to improve the currents estimat

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8

Mereu, Luigi, Simona Scollo, Antonella Boselli, et al. "Dual-Wavelength Polarimetric Lidar Observations of the Volcanic Ash Cloud Produced during the 2016 Etna Eruption." Remote Sensing 13, no. 9 (2021): 1728. http://dx.doi.org/10.3390/rs13091728.

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Lidar observations are very useful to analyse dispersed volcanic clouds in the troposphere mainly because of their high range resolution, providing morphological as well as microphysical (size and mass) properties. In this work, we analyse the volcanic cloud of 18 May 2016 at Mt. Etna, in Italy, retrieved by polarimetric dual-wavelength Lidar measurements. We use the AMPLE (Aerosol Multi-Wavelength Polarization Lidar Experiment) system, located in Catania, about 25 km from the Etna summit craters, pointing at a thin volcanic cloud layer, clearly visible and dispersed from the summit craters at

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9

Grinsted, A. "An estimate of global glacier volume." Cryosphere Discussions 6, no. 5 (2012): 3647–66. http://dx.doi.org/10.5194/tcd-6-3647-2012.

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Abstract. I asses the feasibility of multi-variate scaling relationships to estimate glacier volume from glacier inventory data. I calibrate scaling laws against volume observations of optimized towards the purpose of estimating the total global ice volume. This is applied individually to each record in the Randolph Glacier Inventory which is the first globally complete inventory of glaciers and ice caps. I estimate that the total volume of all glaciers in the world is 0.35 ± 0.07 m sea level equivalent. This is substantially less than a recent state-of-the-art estimate. Area volume scaling bi

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10

Pujol, Léo, Pierre-André Garambois, and Jérôme Monnier. "Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains." Geoscientific Model Development 15, no. 15 (2022): 6085–113. http://dx.doi.org/10.5194/gmd-15-6085-2022.

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Abstract. This contribution presents a novel multi-dimensional (multi-D) hydraulic–hydrological numerical model with variational data assimilation capabilities. It allows multi-scale modeling over large domains, combining in situ observations with high-resolution hydrometeorology and satellite data. The multi-D hydraulic model relies on the 2D shallow-water equations solved with a 1D–2D adapted single finite-volume solver. One-dimensional-like reaches are built through meshing methods that cause the 2D solver to degenerate into 1D. They are connected to 2D portions that act as local zooms, for

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11

Ray, J., J. Lee, V. Yadav, S. Lefantzi, A. M. Michalak, and B. van Bloemen Waanders. "A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion." Geoscientific Model Development 8, no. 4 (2015): 1259–73. http://dx.doi.org/10.5194/gmd-8-1259-2015.

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Abstract. Atmospheric inversions are frequently used to estimate fluxes of atmospheric greenhouse gases (e.g., biospheric CO2 flux fields) at Earth's surface. These inversions typically assume that flux departures from a prior model are spatially smoothly varying, which are then modeled using a multi-variate Gaussian. When the field being estimated is spatially rough, multi-variate Gaussian models are difficult to construct and a wavelet-based field model may be more suitable. Unfortunately, such models are very high dimensional and are most conveniently used when the estimation method can sim

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Kaushik, Pankaj R., Christopher E. Ndehedehe, Ryan M. Burrows, Mark R. Noll, and Mark J. Kennard. "Assessing Changes in Terrestrial Water Storage Components over the Great Artesian Basin Using Satellite Observations." Remote Sensing 13, no. 21 (2021): 4458. http://dx.doi.org/10.3390/rs13214458.

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The influence of climate change and anthropogenic activities (e.g., water withdrawals) on groundwater basins has gained attention recently across the globe. However, the understanding of hydrological stores (e.g., groundwater storage) in one of the largest and deepest artesian basins, the Great Artesian Basin (GAB) is limited due to the poor distribution of groundwater monitoring bores. In this study, Gravity Recovery and Climate Experiment (GRACE) satellite and ancillary data from observations and models (soil moisture, rainfall, and evapotranspiration (ET)) were used to assess changes in ter

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Shattuck, Thomas W., James R. Anderson, Neil W. Tindale, and Peter R. Buseck. "Cluster analysis for large data sets: applications to individual aerosol particles from the mid-pacific." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (1992): 1488–89. http://dx.doi.org/10.1017/s0424820100132078.

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Individual particle analysis involves the study of tens of thousands of particles using automated scanning electron microscopy and elemental analysis by energy-dispersive, x-ray emission spectroscopy (EDS). EDS produces large data sets that must be analyzed using multi-variate statistical techniques. A complete study uses cluster analysis, discriminant analysis, and factor or principal components analysis (PCA). The three techniques are used in the study of particles sampled during the FeLine cruise to the mid-Pacific ocean in the summer of 1990. The mid-Pacific aerosol provides information on

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14

Liu, Guohua, Mirco Migliavacca, Christian Reimers, et al. "DeepPhenoMem V1.0: deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology." Geoscientific Model Development 17, no. 17 (2024): 6683–701. http://dx.doi.org/10.5194/gmd-17-6683-2024.

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Abstract. Vegetation phenology plays a key role in controlling the seasonality of ecosystem processes that modulate carbon, water and energy fluxes between the biosphere and atmosphere. Accurate modelling of vegetation phenology in the interplay of Earth's surface and the atmosphere is thus crucial to understand how the coupled system will respond to and shape climatic changes. Phenology is controlled by meteorological conditions at different timescales: on the one hand, changes in key meteorological variables (temperature, water, radiation) can have immediate effects on the vegetation develop

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15

Shrestha, Prabhakar, Silke Trömel, Raquel Evaristo, and Clemens Simmer. "Evaluation of modelled summertime convective storms using polarimetric radar observations." Atmospheric Chemistry and Physics 22, no. 11 (2022): 7593–618. http://dx.doi.org/10.5194/acp-22-7593-2022.

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Abstract. Ensemble simulations with the Terrestrial Systems Modelling Platform (TSMP) covering northwestern Germany are evaluated for three summertime convective storms using polarimetric X-band radar measurements. Using a forward operator, the simulated microphysical processes have been evaluated in radar observation space. Observed differential reflectivity (ZDR) columns, which are proxies for updrafts, and multi-variate fingerprints for size sorting and aggregation processes are captured by the model, but co-located specific differential phase (KDP) columns in observations are not reproduce

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16

Berg, Peter, Thomas Bosshard, Wei Yang, and Klaus Zimmermann. "MIdASv0.2.1 – MultI-scale bias AdjuStment." Geoscientific Model Development 15, no. 15 (2022): 6165–80. http://dx.doi.org/10.5194/gmd-15-6165-2022.

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Abstract. Bias adjustment is the practice of statistically transforming climate model data in order to reduce systematic deviations from a reference data set, typically some sort of observations. There are numerous proposed methodologies to perform the adjustments – ranging from simple scaling approaches to advanced multi-variate distribution-based mapping. In practice, the actual bias adjustment method is a small step in the application, and most of the processing handles reading, writing, and linking different data sets. These practical processing steps become especially heavy with increasin

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17

朱心宇, 朱心宇, та 張惠玲 Hsin-Yu, Chu. "以多變量貝氏系集處理器配合球面調和函數波段拆解進行展期極端低溫預報". 大氣科學 50, № 3 (2022): 214–38. http://dx.doi.org/10.53106/025400022022125003002.

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<p>透過統計後處理(statistical post-processing, SPP)方法將原始模式進行偏差修正，並降尺度到高解析格點或特定點位，可提供使用者更具參考價值的預報資訊；但偏差修正往往需要大量的訓練樣本以估算預報偏差。由於展期系集重預報/後預報(reforecast/hindcast)需要大量計算資源，剛發展成熟之系集預報系統可能缺乏足夠之重(後)預報資料以進行偏差校正。本研究擬發展結合多變量貝氏系集處理器(Multi-Variate Bayesian Processor of Ensemble, BPE)與球面調和函數波段拆解(spherical harmonics decomposition, SHD)之先進SPP技術，目的在於探討以單一預報取代系集預報進行SPP之可行性，以解決上述系集預報系統缺乏大量訓練樣本，無法進行偏差校正之困境。</p> <p>本研究將原始系集模式的控制模擬(Control Run)進行SHD，以拆解後的不同波段作為BPE預報因子，進行SPP以得到臺灣測站點上之展期極端低溫機率預報。BPE演算法利用預報因子及觀測值關聯結構產生的邊緣分布作為概似函數(likelihood)，並以觀測值的氣候分布作為先驗函數(prior)，再根據最新的預報資料予以結合成後驗函數(posterior, 即為預報機率函數)；因其

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18

Warikar, Evie L., Euniche R. P. F. Ramandey, and Hendra K. Maury. "Analisis Dimorfisme Kupu-Kupu Sayap Burung (Ornithoptera sp.) Endemik Papua." JURNAL BIOLOGI PAPUA 11, no. 1 (2019): 1–7. http://dx.doi.org/10.31957/jbp.634.

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Ornitophera sp. is one of the groups of butterflies endemic in Papua and West Papua provinces. The significant morphological differences between male and female butterflies (dimorphism) are in the shape, size and color of the wings. Morphological characteristics are important sources of information. Based on the results of specimen collections at the Papua Insect Collection Laboratory (KSP) Jayapura, there are several species from various locations in Papua. The variation in dimorphism is likely to occur in this species which gives rise to new sub-species. The purpose of this study was to reco

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19

Keshavarzi, Maryam, Zahra Nazem Bokaee, and Neda Derakhshan. "The culm and glume anatomical study on Lolium (Poaceae) species in Iran." Acta Biologica Szegediensis 66, no. 1 (2022): 63–68. http://dx.doi.org/10.14232/abs.2022.1.63-68.

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Lolium (Poaceae) is composed of five species in Iran that are of forage and weed importance. Culm and glume anatomy of grasses is inadequately explored. In the present study culm and glume anatomical structures of 17 population of four Lolium species is considered by use of 16 qualitative and quantitative features to distinguish Lolium species in Iran and to determine their diagnostic value. The culm cross-section showed multilayered hypodermis, ribbed or un-ribbed culm cross-sections, cuticles with different thicknesses, and the cortex with different tissues. Vascular bundles are arranged in

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Vichi, M., and S. Masina. "Skill assessment of the PELAGOS global ocean biogeochemistry model over the period 1980–2000." Biogeosciences 6, no. 11 (2009): 2333–53. http://dx.doi.org/10.5194/bg-6-2333-2009.

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Abstract. Global Ocean Biogeochemistry General Circulation Models are useful tools to study biogeochemical processes at global and large scales under current climate and future scenario conditions. The credibility of future estimates is however dependent on the model skill in capturing the observed multi-annual variability of firstly the mean bulk biogeochemical properties, and secondly the rates at which organic matter is processed within the food web. For this double purpose, the results of a multi-annual simulation of the global ocean biogeochemical model PELAGOS have been objectively compa

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21

Passera, Roberto, Sofia Zompi, Jessica Gill, and Alessandro Busca. "Explainable Machine Learning (XAI) for Survival in Bone Marrow Transplantation Trials: A Technical Report." BioMedInformatics 3, no. 3 (2023): 752–68. http://dx.doi.org/10.3390/biomedinformatics3030048.

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Artificial intelligence is gaining interest among clinicians, but its results are difficult to be interpreted, especially when dealing with survival outcomes and censored observations. Explainable machine learning (XAI) has been recently extended to this context to improve explainability, interpretability and transparency for modeling results. A cohort of 231 patients undergoing an allogeneic bone marrow transplantation was analyzed by XAI for survival by two different uni- and multi-variate survival models, proportional hazard regression and random survival forest, having as the main outcome

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Nadal-Caraballo, Norberto C., Madison C. Yawn, Luke A. Aucoin, et al. "JOINT PROBABILITY METHOD AIDED BY METAMODEL PREDICTION FOR HURRICANE HAZARDS." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 173. https://doi.org/10.9753/icce.v38.management.173.

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The quantification of coastal hazards caused by tropical cyclones (TCs) faces challenges due to insufficient historical observations, particularly for intense hurricanes, and other data limitations. In the wake of Hurricane Katrina in 2005, a hybrid probabilistic/process-based modeling approach known as the Joint Probability Method (JPM) went through in-depth scruntinity and significant improvements, spurred by the Interagency Performance Evaluation Taskforce (IPET 2009). As a result of this forensic study, IPET developed the JPM with Optimal Sampling (JPM-OS) technique for the analysis of ext

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23

Guo, Danlu, Arash Parehkar, Dongryeol Ryu, Quan J. Wang, and Andrew W. Western. "Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems." Remote Sensing 14, no. 5 (2022): 1286. http://dx.doi.org/10.3390/rs14051286.

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Missing data and low data quality are common issues in field observations of actual evapotranspiration (ETa) from eddy-covariance systems, which necessitates the need for gap-filling techniques to improve data quality and utility for further analyses. A number of models have been proposed to fill temporal gaps in ETa or latent heat flux observations. However, existing gap-filling approaches often use multi-variate models that rely on relationships between ETa and other meteorological and flux variables, highlighting a critical lack of parsimonious gap-filling models. This study aims to develop

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Nair, P. J., S. Godin-Beekmann, J. Kuttippurath, et al. "Ozone trends derived from the total column and vertical profiles at a northern mid-latitude station." Atmospheric Chemistry and Physics Discussions 13, no. 3 (2013): 7081–112. http://dx.doi.org/10.5194/acpd-13-7081-2013.

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Abstract. The trends and variability of ozone are assessed over a northern mid-latitude station, Haute-Provence Observatory (OHP – 43.93° N, 5.71° E), using total column ozone observations from the Dobson and Système d'Analyse par Observation Zénithale spectrometers, and stratospheric ozone profile measurements from Light detection and ranging, ozonesondes, Stratospheric Aerosol and Gas Experiment II, Halogen Occultation Experiment and Aura Microwave Limb Sounder. A multi-variate regression model with quasi biennial oscillation (QBO), solar flux, aerosol optical thickness, heat flux, North Atl

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25

Chang, Erick Paulo Cesar, and Magdy Noguera. "The governance mechanisms of family-controlled REITs." Journal of Family Business Management 6, no. 2 (2016): 122–42. http://dx.doi.org/10.1108/jfbm-02-2015-0012.

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Purpose – The purpose of this paper is to analyze how founders of family-controlled Real Estate Investment Trusts (REITs) under bounded rationality implement internal governance mechanisms that may affect the long-term performance once the founder retires. These actions create a hurdle for successors to follow the founder’s success. Design/methodology/approach – The authors collected data on secondary sources of 36 family and 22 professionally managed REITs from 1999 to 2012 that resulted in an unbalanced panel data of 726 REIT-year observations. The authors use a series of multi-variate analy

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Tariq, Hasan, Farid Touati, Damiano Crescini, and Adel Ben Mnaouer. "IoT-Based Bi-Cluster Forecasting Using Automated ML-Model Optimization for COVID-19." Atmosphere 14, no. 3 (2023): 534. http://dx.doi.org/10.3390/atmos14030534.

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The current COVID-19 pandemic has raised huge concerns about outdoor air quality due to the expected lung deterioration. These concerns include the challenges associated with an increase of harmful gases like carbon dioxide, the iterative/repetitive inhalation due to mask usage, and harsh environmental temperatures. Even in the presence of air quality sensing devices, these challenges can hinder the prevention and treatment of respiratory diseases, epidemics, and pandemics in severe cases. In this research, a dual time series with a bi-cluster sensor data-stream-based novel optimized regressio

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Chowdhury, Ranak Roy, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, and Jingbo Shang. "PrimeNet: Pre-training for Irregular Multivariate Time Series." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (2023): 7184–92. http://dx.doi.org/10.1609/aaai.v37i6.25876.

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Real-world applications often involve irregular time series, for which the time intervals between successive observations are non-uniform. Irregularity across multiple features in a multi-variate time series further results in a different subset of features at any given time (i.e., asynchronicity). Existing pre-training schemes for time-series, however, often assume regularity of time series and make no special treatment of irregularity. We argue that such irregularity offers insight about domain property of the data—for example, frequency of hospital visits may signal patient health condition

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28

Vichi, M., and S. Masina. "Skill assessment of the PELAGOS global ocean biogeochemistry model over the period 1980–2000." Biogeosciences Discussions 6, no. 2 (2009): 3511–62. http://dx.doi.org/10.5194/bgd-6-3511-2009.

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Abstract. Global Ocean Biogeochemistry General Circulation models are useful tools to study biogeochemical processes at gobal and large scales under current climate and future scenario conditions. The accuracy of the future estimate is however dependent on the adequate representation of the current ocean biogeochemical features. To this purpose, the results of an interannual simulation of the global ocean biogeochemical model PELAGOS have been objectively compared with multi-variate observations from the last 20 years of the XX century. The model was assessed in terms of spatial and temporal v

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Xiaoru Yuan, He Xiao, Hanqi Guo, et al. "Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data." IEEE Transactions on Visualization and Computer Graphics 16, no. 6 (2010): 1413–20. http://dx.doi.org/10.1109/tvcg.2010.192.

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Hlaing Than, Win, Opass Putcharoen, Anchalee Avihingsanon, and Stephen Kerr. "348. Kidney Function Decline Among HIV-infected Thai Adults: Is Low Vitamin D One of the Factors?" Open Forum Infectious Diseases 6, Supplement_2 (2019): S184—S185. http://dx.doi.org/10.1093/ofid/ofz360.421.

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Abstract Background The prevalence of both hypovitaminosis D and Chronic Kidney disease (CKD) are high among Thai HIV-infected adults. Therefore, we examined the association of hypovitaminosis D and kidney function decline among HIV-infected Thai adults. Methods Using data prospectively collected from the HIV-NAT long-term cohort, we selected patients who were on ART, and virologically suppressed for ≥6 months. Baseline was defined as when the patient had a serum 25 OHD measured, with estimated Glomerular filtration rate (eGFR) above 60 mL/minute. Participants with eGFR measured at least twice

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Aravamudan, Akshay, Xi Zhang, and Georgios C. Anagnostopoulos. "Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 4999–5009. http://dx.doi.org/10.1609/aaai.v37i4.25627.

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Predicting user engagement -- whether a user will engage in a given information cascade -- is an important problem in the context of social media, as it is useful to online marketing and misinformation mitigation just to name a couple major applications. Based on split population multi-variate survival processes, we develop a discriminative approach that, unlike prior works, leads to a single model for predicting whether individual users of an information network will engage a given cascade for arbitrary forecast horizons and observation periods. Being probabilistic in nature, this model retai

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Suryati Lindung, Maria Eflinda. "MODEL PEMBELAJARAN KOOPERATIF TIPE STAD DAN TIPE NHT TERHADAP KEAKTIFAN DAN HASIL BELAJAR SISWA." Jurnal Riset Pembelajaran Matematika 3, no. 1 (2021): 1–8. http://dx.doi.org/10.55719/jrpm.v3i1.163.

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The purpose of this study is to determine whether there is a difference in the application of the cooperative learning model type STAD and type NHT on student activity and learning outcomes. This study uses a quantitative approach and the method used is an experimental method with data collection techniques using test and observation methods. The statistical test used was the multi-variate analysis of variance test. The result of this research is that there is a significant difference between the STAD and NHT cooperative learning models on student learning outcomes and activities.

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Mengistu, Merihun, Mesfin Tebeje, Almaz Balta, Debalke Debala, and Belete Limani. "Exploring Potential Adaptation Strategies for Smallholder Farmers to Climate Change: A Case Study at Abala Abaya, Wolaita Zone, South Ethiopia." Trends in Ecological and Indoor Environmental Engineering 2, no. 3 (2024): 26–34. http://dx.doi.org/10.62622/teiee.024.2.3.26-34.

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Background: The frequency and intensity of extreme weather events are expected to increase as a result of climate change, which will contribute to changes in precipitation and temperature, and therefore will affect food security. Research issues related to increasing the sustainability of the agricultural sector, eliminating climate risks in agriculture are coming to the fore. This is especially relevant in arid regions. Objectives: This study aimed to assess the adaptation strategies of smallholder farmers to climate change in Abela Abaya, Wolaita Zone, Southern Ethiopia. Finding optimal prac

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Qi, Gang, Ming Fan, and Jian Yu Li. "Statistical Ensemble Interactions in Microstructures where Damage Events Present." Key Engineering Materials 577-578 (September 2013): 65–68. http://dx.doi.org/10.4028/www.scientific.net/kem.577-578.65.

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This work reports a study of the ensemble interactions in hierarchical structures where damage events present, a significant issue in the analysis of material failure. Our approach was data-enabled in which we constructed a multi-variate composing of the amplitude spectrum matrix of responses of the evolving hierarchical microstructure to the applied stress. The columns and rows of this matrix are vectors of the amplitude scale and the observation vectors of multiscale random damage events, respectively. The results showed that damage mechanisms occurred in ensemble clusters, and the multiscal

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Loslever, P. "Error and Data Coding in the Multi-Dimensional Analysis of Human Movement Signals." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 207, no. 2 (1993): 103–10. http://dx.doi.org/10.1243/pime_proc_1993_207_277_02.

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This paper discusses two main problems of human motion data: their uncertainty and analysis. Considering the first point, a simulating method is proposed to assess the error. This approach is applied to a joint angle, computed from the positions of points obtained through a three-dimensional video-computer system. Considering the second point, a multi-variate methodology based on appropriate data coding and the correspondence factor analysis method is proposed. The outcomes of this allow the relations within the time windows of the variable set, the distances within the observation set and the

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Koehler, Jonas, André Bauer, Andreas J. Dietz, and Claudia Kuenzer. "Towards Forecasting Future Snow Cover Dynamics in the European Alps—The Potential of Long Optical Remote-Sensing Time Series." Remote Sensing 14, no. 18 (2022): 4461. http://dx.doi.org/10.3390/rs14184461.

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Snow is a vital environmental parameter and dynamically responsive to climate change, particularly in mountainous regions. Snow cover can be monitored at variable spatial scales using Earth Observation (EO) data. Long-lasting remote sensing missions enable the generation of multi-decadal time series and thus the detection of long-term trends. However, there have been few attempts to use these to model future snow cover dynamics. In this study, we, therefore, explore the potential of such time series to forecast the Snow Line Elevation (SLE) in the European Alps. We generate monthly SLE time se

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HEIDARIAN, MEHDI, SEYED MOHAMMAD MAHDI HAMDI, MOHAMMAD MEHDI DEHSHIRI, TAHER NEJADSATTARI, and SEYED MOHAMMAD MASOUMI. "Pollen grain micromorphology in some genera of Ornithogaleae (Asparagaceae, Scilloideae) and its relative significance." Phytotaxa 458, no. 4 (2020): 242–56. http://dx.doi.org/10.11646/phytotaxa.458.4.2.

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In this research, the pollen micromorphology of nine species belonging to Honorius, Loncomelos, Ornithogalum and Stellarioides are observed by LM (Light Microscopy), SEM (Scanning Electron Microscopy) and two species by TEM (Transmission Electron Microscopy). Lately, the phylogenetic studies have determined nineteen monophyletic genera in subfamily Ornithogaloideae (=tribe Ornithogaleae). Our results show that the pollen grains characters such as shape, size, exine ornamentation on equatorial surface, sulcus margin exine ornamentation, sulcus membrane ornamentation and lumina number on exine s

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K. C., Ashish, Md Moinuddin, Mary Kinney, et al. "Mistreatment of newborns after childbirth in health facilities in Nepal: Results from a prospective cohort observational study." PLOS ONE 16, no. 2 (2021): e0246352. http://dx.doi.org/10.1371/journal.pone.0246352.

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Background Patient experience of care reflects the quality of health care in health facilities. While there are multiple studies documenting abuse and disrespect to women during childbirth, there is limited evidence on the mistreatment of newborns immediately after childbirth. This paper addresses the evidence gap by assessing the prevalence and risk factors associated with mistreatment of newborns after childbirth in Nepal, based on a large-scale observational study. Methods and findings This is a prospective observational cohort study conducted over a period of 18 months in 4 public referral

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Elsayed, Marwa, Samah Mohamed Mahmoud, Lamia Hamed Mohamed, Walid Omar, and Kamel Abdelaziz. "Prediction of Outcome in Anemic Critically ill Patients in Intensive Care Unit: A Retrospective Observational Study." Open Access Macedonian Journal of Medical Sciences 10, B (2022): 584–88. http://dx.doi.org/10.3889/oamjms.2022.7659.

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Objective: Anemia is a universal finding in critically-ill patients which add to the risk of poor outcomes. We aimed to evaluate the prevalence of anemic critically-ill patients and to detect predictors of outcome.  Methods: A retrospective study from 5-year data in the electronic medical record of the critical care department at Cairo University. All medical ICU patients that were admitted with or developed anemia during their ICU stay were included. All data of admission, ICU stay, and APACHE II were recorded and their association with the final outcome was determined. &#x0

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Rahardja, Viryanando Evan, Made Pharmawati, and Ni Made Gari. "ANALISIS KERAGAMAN GENETIK VARIETAS JAGUNG (Zea mays L.) HIBRIDA MENGGUNAKAN MARKA RAPD (RANDOM AMPLIFIED POLYMORPHIC DNA)." SIMBIOSIS 10, no. 2 (2022): 223. http://dx.doi.org/10.24843/jsimbiosis.2022.v10.i02.p09.

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Analysis of genetic diversity is essential in developing hybrid maize (Zea mays L) varieties. The purpose of this study was to analyze the genetic diversity of six maize varieties using the PCR-RAPD (Polymerase Chain Reaction-Random Amplified Polymorphic DNA) technique. Hybrid maize varieties used in this study were Srikandi, Arumba, Mira, Magenta, and Simba. A local maize variety originating from Rote Island, East Nusa Tenggara Province was used as a comparison. Seeds were planted for the observation of morphological characteristics such as roots, leaves, and stems, as well as DNA extraction

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Artawan, Gede. "PENGARUH PENDEKATAN KONSTRUKTIVISME TERHADAP AKTIVITAS DAN HASIL BELAJAR SISWA DALAM PEMBELAJARAN TEKS BIOGRAFI." Journal of Education Research and Evaluation 1, no. 4 (2017): 217. http://dx.doi.org/10.23887/jere.v1i4.12151.

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The purpose of this peneitian is to know the influence of constructivism approach to learning in the learning activity biographical text on eighth grade students at SMP Harapan Nusantara. To determine the effect of using constructivism approach to the learning outcomes in learning biography text in class VIII in SMP Harapan Nusantara. To determine the effect of using constructivism approach to the activities and achievement in learning biography text in class VIII in SMP Harapan Nusantara. Collecting data in this study conducted by the method of observation and testing methods / giving tasks t

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Nagarajan, Karikalan, Malaisamy Muniyandi, Senthil Sellappan, et al. "A study on tuberculosis disease disclosure patterns and its associated factors: Findings from a prospective observational study in Chennai." PLOS ONE 18, no. 1 (2023): e0280812. http://dx.doi.org/10.1371/journal.pone.0280812.

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Background Disclosure of tuberculosis (TB) status by patients is a critical step in their treatment cascade of care. There is a lack of systematic assessment of TB disclosure patterns and its positive outcomes which happens dynamically over the disease period of individual patients with their family and wider social network relations. Methods This prospective observational study was conducted in Chennai Corporation treatment units during 2019–2021. TB patients were recruited and followed-up from treatment initiation to completion. Information on disease disclosures made to different social mem

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Schmidt, Luisa, Matthias Forkel, Ruxandra-Maria Zotta, et al. "Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties." Biogeosciences 20, no. 5 (2023): 1027–46. http://dx.doi.org/10.5194/bg-20-1027-2023.

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Abstract. Vegetation attenuates the microwave emission from the land surface. The strength of this attenuation is quantified in models in terms of the parameter vegetation optical depth (VOD) and is influenced by the vegetation mass, structure, water content, and observation wavelength. Earth observation satellite sensors operating in the microwave frequencies are used for global VOD retrievals, enabling the monitoring of vegetation at large scales. VOD has been used to determine above-ground biomass, monitor phenology, or estimate vegetation water status. VOD can be also used for constraining

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Eneojo, Adah Patrick, Dr Emmanuel Bola Jonah K, Dr Onoja-Alexander Mary Ojonema, et al. "Risk Factor Determinants for Bemonc Services Uptake at Basic Health Care Provision Fund (BHCPF) Ward Focal HCFS in Kogi State." International Journal of Research and Scientific Innovation XII, no. XV (2025): 169–86. https://doi.org/10.51244/ijrsi.2025.121500015p.

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This descriptive cross-sectional (non-exposure assigning), survey on Basic Health Care Provision Fund (BHCPF) Basic Emergency Obstetric and Newborn Care (BEmONC) Quality of Care (QoC) in Kogi State of Nigeria was implemented as evidence base for informed decision making towards action on and leverage for the strengthening of the essential public health functions during a five-month period between April to August, 2024. The epidemiologic applied approach provided the data in a process that identified, characterized and quantified proximate socio-ecological risk factors that are determinants (mo

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Lee, Joongyo, Seo Hee Choi, Hong In Yoon, et al. "RTHP-09. SINGLE INSTITUTION’S EXPERIENCE FOR PEDIATRIC INTRACRANIAL EPENDYMOMA TREATED WITH ADJUVANT RADIOTHERAPY." Neuro-Oncology 21, Supplement_6 (2019): vi211—vi212. http://dx.doi.org/10.1093/neuonc/noz175.882.

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Abstract PURPOSE To investigate long term outcomes of pediatric intracranial ependymoma treated with maximal safe resection followed by radiotherapy in single institution. METHODS Between 1983 and 2016, 42 pediatric patients received adjuvant radiotherapy after surgery. There were 19 and 23 grade II and III ependymomas, and total resection could be performed in 50% of patients. There were 4 patients with initial leptomeningeal seeding, and craniospinal irradiation (CSI) was the component of adjuvant treatment in 5 patients including them. Local radiotherapy (median 54 Gy (range, 45–60 Gy) was

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Gamucci, T., F. Narducci, I. Sperduti, et al. "Evaluation of the Edmonton Symptoms Assesment Scale (ESAS) symptoms improvement (SI) assessment as a prognostic factor for survival in advanced cancer patients (pts) undergoing palliative care (PC): An observational prospective study." Journal of Clinical Oncology 27, no. 15_suppl (2009): 9591. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.9591.

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9591 Background: ESAS is a validated tool for physical symptoms assessment in PC practice which evaluates symptoms through a numeric scale ( 0–10). The use of SI as a prognostic factor is controversial. To this purpose, an observational prospective study in advanced cancer pts previously treated with anti-cancer treatments and now undergoing only PC was conducted. Methods: Pts were considered eligible if no longer able to receive any anticancer treatment; they were scheduled to undergo ESAS assessment: 1) at the hospitalization time-point (TH); 2) at the hospital discharge time-point (TD). Sym

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Abou-Ismail, Mouhamed Yazan, Yasmin Arafah, Pingfu Fu, Shufen Cao, Alvin H. Schmaier, and Lalitha V. Nayak. "Outcomes after Treatment with Upfront Cyclophosphamide or Rituximab for Initial Acquired Thrombotic Thrombocytopenic Purpura." Blood 134, Supplement_1 (2019): 1084. http://dx.doi.org/10.1182/blood-2019-123537.

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Background: Acquired thrombotic thrombocytopenic purpura (aTTP) is a rare, life-threatening emergency caused by auto-antibodies against ADAMTS13. Current standard therapy utilizes plasma exchange (PLEX) and corticosteroids. Although this induces remission, disease relapse remains a common problem. Since more than 90% of aTTP is caused by an antibody to ADAMTS13, additional immunosuppressive therapy with rituximab (RTX) given upfront has been shown to lower relapse rates. An alternative therapy, Cyclophosphamide (CTX) has been used in relapsed disease, but data on its use in upfront management

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Tobin, Joshua W. D., Gabrielle Rule, Katherine Colvin, et al. "Outcomes of Stage I and II Follicular Lymphoma in the Era of 18F-FDG PET-CT Staging: An International Collaborative Study from the Australian Lymphoma Alliance." Blood 132, Supplement 1 (2018): 4148. http://dx.doi.org/10.1182/blood-2018-99-114097.

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Abstract Background Stage I/II or early-stage follicular lymphoma (ESFL) is considered potentially curable with radiotherapy (XRT). While XRT does achieve local disease control in >90% of cases, more than half the patients (pts) relapse by 10 years (yr), generally outside of the radiation field. A recent randomized controlled trial (TROG 99.03) demonstrated that combined modality therapy (CMT), with sequential XRT and systemic therapy, significantly improved PFS but not overall survival (OS) compared to XRT alone in ESFL. However, only half the pts were staged with 18F‐FDG positron emission

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Liu, Sicong, Silvestro Roberto Poccia, K. Selcuk Candan, Maria Luisa Sapino, and Xiaolan Wang. "Robust Multi-Variate Temporal Features of Multi-Variate Time Series." January 1, 2018. https://doi.org/10.1145/3152123.

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Many applications generate and/or consume multi-variate temporal data, and experts often lack the means to adequately and systematically search for and interpret multi-variate observations. In this article, we first observe that multi-variate time series often carry localized multi-variate temporal features that are robust against noise. We then argue that these multi-variate temporal features can be extracted by simultaneously considering, at multiple scales, temporal characteristics of the time series <em>along with external knowledge</em>, including variate relationships that are known a pr

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Archambault, Théo, Arthur Filoche, Anastase Charantonis, Dominique Béréziat, and Sylvie Thiria. "Learning Sea Surface Height Interpolation From Multi‐Variate Simulated Satellite Observations." Journal of Advances in Modeling Earth Systems 16, no. 6 (2024). http://dx.doi.org/10.1029/2023ms004047.

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AbstractSatellite‐based remote sensing missions have revolutionized our understanding of the Ocean state and dynamics. Among them, space‐borne altimetry provides valuable Sea Surface Height (SSH) measurements, used to estimate surface geostrophic currents. Due to the sensor technology employed, important gaps occur in SSH observations. Complete SSH maps are produced using linear Optimal Interpolations (OI) such as the widely used Data Unification and Altimeter Combination System (duacs). On the other hand, Sea Surface Temperature (SST) products have much higher data coverage and SST is physica

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