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Artykuły w czasopismach na temat „Multi variate regression”

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Data publikacji: 8 września 2023

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Luo, Chongliang, Jin Liu, Dipak K. Dey, and Kun Chen. "Canonical variate regression." Biostatistics 17, no. 3 (2016): 468–83. http://dx.doi.org/10.1093/biostatistics/kxw001.

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Abstract In many fields, multi-view datasets, measuring multiple distinct but interrelated sets of characteristics on the same set of subjects, together with data on certain outcomes or phenotypes, are routinely collected. The objective in such a problem is often two-fold: both to explore the association structures of multiple sets of measurements and to develop a parsimonious model for predicting the future outcomes. We study a unified canonical variate regression framework to tackle the two problems simultaneously. The proposed criterion integrates multiple canonical correlation analysis wit

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Chen, Zexun, Bo Wang, and Alexander N. Gorban. "Multivariate Gaussian and Student-t process regression for multi-output prediction." Neural Computing and Applications 32, no. 8 (2019): 3005–28. http://dx.doi.org/10.1007/s00521-019-04687-8.

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AbstractGaussian process model for vector-valued function has been shown to be useful for multi-output prediction. The existing method for this model is to reformulate the matrix-variate Gaussian distribution as a multivariate normal distribution. Although it is effective in many cases, reformulation is not always workable and is difficult to apply to other distributions because not all matrix-variate distributions can be transformed to respective multivariate distributions, such as the case for matrix-variate Student-t distribution. In this paper, we propose a unified framework which is used

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Åström, Oskar, Henrik Hedlund, and Alexandros Sopasakis. "Machine-Learning Approach to Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Cultivation." Agriculture 13, no. 4 (2023): 801. http://dx.doi.org/10.3390/agriculture13040801.

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We train and compare the performance of two machine learning methods, a multi-variate regression network and a ResNet-50-based neural network, to learn and forecast plant biomass as well as the relative growth rate based onfrom a short sequence of temporal images from plants in aeroponic cultivation. The training dataset consists of images of 57 plants taken from two different angles every hour during a 5-day period. The results show that images taken from a top-down perspective produce better results for the multi-variate regression network, while images taken from the side are better for the

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de Laat, A. T. J., R. J. van der A, and M. van Weele. "Tracing the second stage of Antarctic ozone hole recovery with a "big data" approach to multi-variate regressions." Atmospheric Chemistry and Physics Discussions 14, no. 12 (2014): 18591–640. http://dx.doi.org/10.5194/acpd-14-18591-2014.

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Abstract. This study presents a sensitivity analysis of multi-variate regressions of recent springtime Antarctic vortex ozone trends using a "big data" ensemble approach. Multi-variate regression methods are widely used for studying the variability and detection of ozone trends. Based on multi-variate regression analysis of total Antarctic springtime vortex ozone it has been suggested that the observed increase of ozone since the late 1990s is statistically significant and can be attributed to decreasing stratospheric halogens (Salby et al., 2011, 2012; Kuttippurath et al., 2013). We find that

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Gholizadeh, Pouya, and Behzad Esmaeili. "Developing a Multi-variate Logistic Regression Model to Analyze Accident Scenarios: Case of Electrical Contractors." International Journal of Environmental Research and Public Health 17, no. 13 (2020): 4852. http://dx.doi.org/10.3390/ijerph17134852.

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The ability to identify factors that influence serious injuries and fatalities would help construction firms triage hazardous situations and direct their resources towards more effective interventions. Therefore, this study used odds ratio analysis and logistic regression modeling on historical accident data to investigate the contributing factors impacting occupational accidents among small electrical contracting enterprises. After conducting a thorough content analysis to ensure the reliability of reports, the authors adopted a purposeful variable selection approach to determine the most sig

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Hongchao, Ma, and Li Deren. "Enhancing group resolution of TM6 based on multi-variate regression model and semi-variogram function." Geo-spatial Information Science 4, no. 1 (2001): 43–49. http://dx.doi.org/10.1007/bf02826636.

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Merz, B., H. Kreibich, and U. Lall. "Multi-variate flood damage assessment: a tree-based data-mining approach." Natural Hazards and Earth System Sciences 13, no. 1 (2013): 53–64. http://dx.doi.org/10.5194/nhess-13-53-2013.

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Abstract. The usual approach for flood damage assessment consists of stage-damage functions which relate the relative or absolute damage for a certain class of objects to the inundation depth. Other characteristics of the flooding situation and of the flooded object are rarely taken into account, although flood damage is influenced by a variety of factors. We apply a group of data-mining techniques, known as tree-structured models, to flood damage assessment. A very comprehensive data set of more than 1000 records of direct building damage of private households in Germany is used. Each record

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Benson, Roger B. J., and Philip D. Mannion. "Multi-variate models are essential for understanding vertebrate diversification in deep time." Biology Letters 8, no. 1 (2011): 127–30. http://dx.doi.org/10.1098/rsbl.2011.0460.

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Statistical models are helping palaeontologists to elucidate the history of biodiversity. Sampling standardization has been extensively applied to remedy the effects of uneven sampling in large datasets of fossil invertebrates. However, many vertebrate datasets are smaller, and the issue of uneven sampling has commonly been ignored, or approached using pairwise comparisons with a numerical proxy for sampling effort. Although most authors find a strong correlation between palaeodiversity and sampling proxies, weak correlation is recorded in some datasets. This has led several authors to conclud

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Amos, Kanyesiga Johnson, and Bazinzi Natamba. "The Impact of Training and Development on Job Performance in Ugandan Banking Sector." Journal on Innovation and Sustainability. RISUS ISSN 2179-3565 6, no. 2 (2015): 65. http://dx.doi.org/10.24212/2179-3565.2015v6i2p65-71.

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The study examined the impact of training and development on job performance in the Banking sector in Uganda among the selected four banks of Equity Bank, Bank of Africa, Barclays Bank Uganda and Centenary Bank and specifically looked at the relationship between training needs identification, training methods, monitoring, evaluation of training and job performance in the banking sector in Uganda. The study used correlation research design to address the relationship between variables. The study involved managers, heads of departments at each bank and employees. Data was collected using questio

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Barnes, R. J., M. S. Dhanoa, and Susan J. Lister. "Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra." Applied Spectroscopy 43, no. 5 (1989): 772–77. http://dx.doi.org/10.1366/0003702894202201.

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Particle size, scatter, and multi-collinearity are long-standing problems encountered in diffuse reflectance spectrometry. Multiplicative combinations of these effects are the major factor inhibiting the interpretation of near-infrared diffuse reflectance spectra. Sample particle size accounts for the majority of the variance, while variance due to chemical composition is small. Procedures are presented whereby physical and chemical variance can be separated. Mathematical transformations—standard normal variate (SNV) and de-trending (DT)—applicable to individual NIR diffuse reflectance spectra

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Beć, Krzysztof B., and Justyna Grabska. "Computer simulations of NIR spectra of thymol – Towards linking basic and analytical NIRS." NIR news 29, no. 7 (2018): 13–16. http://dx.doi.org/10.1177/0960336018798913.

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Analytical near-infrared spectroscopy has been evolving rapidly over the last decades reaching a remarkable value for both industrial and institutional laboratories nowadays. Its growth has been strongly connected to focussed development of the instrumentation and multi-variate analytical methods. Multi-variate analysis gives near-infrared spectroscopy the desired analytical performance level but lacks the ability to provide physical insights into the analysed molecular system. Large amount of information carried in an NIR spectrum is omitted in analytical routines. In the present article, we

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دولتخواهی, زهرا, محمدرضا جوادی, and مهدی وفاخواه. "Using of Two and Multi Variate Regression Methods on Landslide Hazard Zonation (A Case Study: Northern Tehran Watershed)." journal of watershed management research 8, no. 15 (2017): 171–79. http://dx.doi.org/10.29252/jwmr.8.15.171.

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Sundari V, Anusree M, Swetha U, and Divya Lakshmi R. "Crop recommendation and yield prediction using machine learning algorithms." World Journal of Advanced Research and Reviews 14, no. 3 (2022): 452–59. http://dx.doi.org/10.30574/wjarr.2022.14.3.0581.

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Agriculture is the foundation of many countries' economies, particularly in India and Tamil Nadu. The young generation who are new to farming may confront the challenge of not understanding what to sow and what to reap benefit from. This is a problem that has to be addressed, and it is one that we are addressing. Predicting the proper crop and production will aid in making better decisions, reducing losses and managing the risk of price fluctuations. The existing system is not deployed, unlike ours, which is done by applying classification and regression algorithms to calculate crop type recom

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HIYOSHI, YASUHIKO. "Prognostic factors of infantile acute blastic leukemia. Multi-variate analysis : analysis by Cox multiple regression type life table method." Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics 20, no. 1 (1989): 135–36. http://dx.doi.org/10.3999/jscpt.20.135.

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Moran, Valerie, and Rowena Jacobs. "Investigating the relationship between costs and outcomes for English mental health providers: a bi-variate multi-level regression analysis." European Journal of Health Economics 19, no. 5 (2017): 709–18. http://dx.doi.org/10.1007/s10198-017-0915-5.

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LOPEZ-GUEDE, JOSE MANUEL, BORJA FERNANDEZ-GAUNA, and MANUEL GRAÑA. "STATE-ACTION VALUE FUNCTION MODELED BY ELM IN REINFORCEMENT LEARNING FOR HOSE CONTROL PROBLEMS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, supp02 (2013): 99–116. http://dx.doi.org/10.1142/s0218488513400199.

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This paper addresses the problem of efficiency in reinforcement learning of Single Robot Hose Transport (SRHT) by training an Extreme Learning Machine (ELM) from the state-action value Q-table, obtaining large reduction in data space requirements because the number of ELM parameters is much less than the Q-table's size. Moreover, ELM implements a continuous map which can produce compact representations of the Q-table, and generalizations to increased space resolution and unknown situations. In this paper we evaluate empirically three strategies to formulate ELM learning to provide approximatio

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Paudel, Puja, Shital Bhandary, and Jayandra Byanju. "Factors affecting menopause in Nepalese women." Journal of Patan Academy of Health Sciences 4, no. 2 (2017): 33–38. http://dx.doi.org/10.3126/jpahs.v4i2.24582.

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Introductions: Menopause is a physiological event that indicates the end of reproductive period in woman’s life. It has many health issues and morbidity. There are multiple factors that influence age of onset of menopause and we aim to find these associated factors. Methods: The 2011 ‘Nepal demographic and health survey’ data was used in this study. Logistic regression was used to find the association between the dependent and independent variables using bi-variate and multi-variate analysis. Results: The bivariate analysis showed the association of age, wealth index, education, ma

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Okwir, Gustavio, Sharma Pramod Kumar, Hongkai Gao, Juma Rajabu Selemani, and Karoli N. Njau. "Multi-variate regression analysis of lake level variability: A case of semi-closed, shallow rift valley lake in Northern Tanzania." Environmental Challenges 7 (April 2022): 100533. http://dx.doi.org/10.1016/j.envc.2022.100533.

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Providence, Alimasi Mongo, Chaoyu Yang, Tshinkobo Bukasa Orphe, Anesu Mabaire, and George K. Agordzo. "Spatial and Temporal Normalization for Multi-Variate Time Series Prediction Using Machine Learning Algorithms." Electronics 11, no. 19 (2022): 3167. http://dx.doi.org/10.3390/electronics11193167.

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Multi-variable time series (MTS) information is a typical type of data inference in the real world. Every instance of MTS is produced via a hybrid dynamical scheme, the dynamics of which are often unknown. The hybrid species of this dynamical service are the outcome of high-frequency and low-frequency external impacts, as well as global and local spatial impacts. These influences impact MTS’s future growth; hence, they must be incorporated into time series forecasts. Two types of normalization modules, temporal and spatial normalization, are recommended to accomplish this. Each boosts the orig

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Helfrich-Schkarbanenko, Andreas, and Nathalie Verné. "Online Tests and Predictive Analytics." International Journal of Emerging Technologies in Learning (iJET) 17, no. 23 (2022): 89–93. http://dx.doi.org/10.3991/ijet.v17i23.36459.

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We present a framework that estimates students’ exam performance in the context of mathematics lectures. For the prediction, we apply a multi-variate nonlinear regression implemented in MATLAB based on the results of five tests acting as independent data. The electronic tests were implemented by means of online assessment system STACK. The tests cover all major topics and are evenly distributed throughout the lecture period. The performance of the approach is quantitatively tested on student groups. In the future, the insights gained in this way will serve as a starting point for prespective a

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Nykvist, F., M. Hurme, H. Alaranta, and ML Miettinen. "Social factors and outcome in a five-year follow-up study of 276 patients with sciatica." Journal of Rehabilitation Medicine 23, no. 1 (2020): 19–26. http://dx.doi.org/10.2340/1650197791231926.

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Social factors of 179 operated and 97 non-operated patients one year after hospitalization due to low back pain and sciatica were tested by multi-variate regression analysis in relation to the five-year outcome evaluated according to the WHO Handicap Classification. For operated men a subjective working incapacity (relative risk RR = 4.6) and co-morbidity (RR = 2.7) predicted a poor outcome. For operated women the predictive factors were subjective working incapacity (RR = 3.2) and older age (RR = 1.9). For non-operated men an increased occurrence of occupational hazards (RR = 3.6) and for non

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Vališ, David, and Libor Žák. "Assessment of Off-Line Diagnostic Oil Data with Using Selected Mathematical Tools." Applied Mechanics and Materials 772 (July 2015): 141–46. http://dx.doi.org/10.4028/www.scientific.net/amm.772.141.

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The paper deals with assessment of oil filed data from heavy off-road vehicle. The oil sample is collected off-line and processed consequently in a tribolaboratory. We call the outcomes from tribolaboratory as oil field data. Firstly we apply selected regression functions for description of the most interesting oil particles generation. It is the vehicle engine and its metal – ferrum, lead or cooper – oil data which are explored for further utilisation. We apply and present methods of multi-variate regression analysis to model the metal – Fe and Pb – data and provide outcomes + estimations for

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Sawada, Kimi, Yukari Takemi, Nobuko Murayama, and Hiromi Ishida. "Relationship between rice consumption and body weight gain in Japanese workers: white versus brown rice/multigrain rice." Applied Physiology, Nutrition, and Metabolism 44, no. 5 (2019): 528–32. http://dx.doi.org/10.1139/apnm-2018-0262.

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Increasing obesity rates have driven research into dietary support for body weight control, but previous studies have only assessed changes in body weight of ±3 kg. We investigated the relationships between white or brown/multi-grain rice consumption and 1-year body weight gain ≥3 kg in Japanese factory workers (n = 437). Routine medical check-up data from a 1-year nutrition and lifestyle cohort study were analysed. Participants were divided into white rice and brown/multi-grain rice consumption groups and further classified by tertile of rice consumption. Multiple logistic regression analyses

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Karsten, Keller, and Engelhardt Martin. "IMPACT OF CARTILAGE DAMAGE ON ARTHROGENIC MUSCLE INHIBITION IN PATIENTS WITH MENISCUS INJURIES." Journal of Musculoskeletal Research 19, no. 01 (2016): 1650001. http://dx.doi.org/10.1142/s0218957716500019.

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Background: Knee traumata are associated with arthrogenic muscle inhibition (AMI). We aimed to identify impact factors on AMI. Methods: A total of 37 patients with meniscus injuries were interviewed and examined for maximum isometric knee extensor force preoperatively. We analyzed AMI as relative maximum isometric force between healthy and injured legs. Regression analyses were computed to evaluate associations between an AMI with muscle-strength reduction [Formula: see text]% and several parameters and between cartilage damage[Formula: see text][Formula: see text][Formula: see text]stadium 3

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Msosa, Steven Kayambazinthu. "The impact of Perceived Justice on Students’ Negative Emotional Responses during Service Recovery." International Journal of Higher Education 9, no. 5 (2020): 230. http://dx.doi.org/10.5430/ijhe.v9n5p230.

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This study sought to evaluate the impact of perceived justice on students’ negative emotional responses during service recovery. Quantitative, descriptive multi-variate regression analysis and a cross-sectional study were undertaken using a judgmental sample of 430 students drawn from three public Higher Education Institutions in South Africa. The results of this study showed that all the dimensions of justice, viz. procedural, distributive and interactional justice, have a negative and significant impact on negative emotions. The findings of this study could assist Higher Education institutio

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Kaltenthaler, Karl C., and Christopher J. Anderson. "The Changing Political Economy of Inflation." Journal of Public Policy 20, no. 2 (2000): 109–31. http://dx.doi.org/10.1017/s0143814x00000787.

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A type of conventional wisdom has developed among many scholars that industrialized countries with independent central banks produce lower relative inflation rates than countries that do not have these institutions. We argue that the relative importance of central bank independence for fighting inflation changed fundamentally from the 1970s to the 1980s as a result of experiences in the advanced industrialized democracies, which led both Right and Left governments to move toward more neo-liberal macroeconomic policies. As governments made price stability more of a priority, the anti-inflationa

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Mohanto, Sumant, and Debasis Deb. "Prediction of Plastic Damage Index for Assessing Rib Pillar Stability in Underground Metal Mine Using Multi-variate Regression and Artificial Neural Network Techniques." Geotechnical and Geological Engineering 38, no. 1 (2019): 767–90. http://dx.doi.org/10.1007/s10706-019-01065-y.

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Shrestha, Ira, Puja Paudel, Milli Joshi, and Shital Bhandary. "Iron-folic acid supplementation and its differentials among Nepalese women of reproductive age." Journal of General Practice and Emergency Medicine of Nepal 4, no. 6 (2015): 6–10. http://dx.doi.org/10.59284/jgpeman121.

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Introduction: Iron-folic acid (IFA) supplementations protect mothers and their infants against perinatal and maternal mortality. Ministry of health and population advises pregnant women and lactating mother to take IFA supplements everyday for certain period. However, not all women follow this.  Methods: 2011 Nepal Demographic and Health Survey (NDHS) data was used. Dependent variable was created using women with last child born live in the last five years and taking at least 1 tablet/syrup of IFA and women not taking any tablet/syrup during the study period. Key background variables of

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Chen, X., Z. Hao, N. Devineni, and U. Lall. "Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling." Hydrology and Earth System Sciences 18, no. 4 (2014): 1539–48. http://dx.doi.org/10.5194/hess-18-1539-2014.

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Abstract. A Hierarchal Bayesian model is presented for one season-ahead forecasts of summer rainfall and streamflow using exogenous climate variables for east central China. The model provides estimates of the posterior forecasted probability distribution for 12 rainfall and 2 streamflow stations considering parameter uncertainty, and cross-site correlation. The model has a multi-level structure with regression coefficients modeled from a common multi-variate normal distribution resulting in partial pooling of information across multiple stations and better representation of parameter and post

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Leonard, Ahuejere, and Ishmael Kalule. "CONTEXTUAL DETERMINANTS OF FERTILITY TRANSITIONS AMONG BLACK SOUTH AFRICAN WOMEN: A MULTI-LEVEL ANALYSIS." SOCIETY AND CULTURE DEVELOPMENT IN INDIA 2, no. 2 (2022): 247–71. http://dx.doi.org/10.47509/scdi.2022.v02i02.02.

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Fertility declines (transitions) and their contextual determinants are concerns to the government and other stakeholders in South Africa. These are so, especially among the Black South African women of childbearing age. The South African Demographic Health Survey (SADHS) 2016 data was used to examine the role of three hierarchical layers of variables (individual, household and community level characteristics) in determining fertility transitions among Black South African women of childbearing age. Based on the Social-Ecological (SEM) and the Easterlin’s micro-economic models, the chi-squared t

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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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Ziman, Nathan, Laura P. Sands, Christopher Tang, Jiafeng Zhu, and Jacqueline M. Leung. "Does postoperative delirium following elective noncardiac surgery predict long-term mortality?" Age and Ageing 49, no. 6 (2020): 1020–27. http://dx.doi.org/10.1093/ageing/afaa047.

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Abstract Objective to determine whether incident postoperative delirium in elective older surgical patient was associated with increased risk for mortality, controlling for covariates of 5-year mortality. Design secondary analysis of prospective cohort studies. Setting academic Medical Center. Subjects patients ≥65 years of age undergoing elective non-cardiac surgery. Outcomes postoperative assessments of delirium measured using the Confusion Assessment Method (CAM), mortality within 5 years of the index surgery was determined from National Death Index records. Results postoperative delirium o

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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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Cheng, Lu-Yun (Vivian), Huifen (Helen) Cai, and Zhongqi Jin. "The effect of parental opportunism, IJV's autonomy and tacit knowledge on IJV instability: A comparison of multi-variate regression and fuzzy-set qualitative comparative analysis." Journal of Business Research 69, no. 11 (2016): 5203–9. http://dx.doi.org/10.1016/j.jbusres.2016.04.113.

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Mirzaei, Mojgan, Stefania Bertazzon, and Isabelle Couloigner. "Modeling Wildfire Smoke Pollution by Integrating Land Use Regression and Remote Sensing Data: Regional Multi-Temporal Estimates for Public Health and Exposure Models." Atmosphere 9, no. 9 (2018): 335. http://dx.doi.org/10.3390/atmos9090335.

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To understand the health effects of wildfire smoke, it is important to accurately assess smoke exposure over space and time. Particulate matter (PM) is a predominant pollutant in wildfire smoke. In this study, we develop land-use regression (LUR) models to investigate the impact that a cluster of wildfires in the northwest USA had on the level of PM in southern Alberta (Canada), in the summer of 2015. Univariate aerosol optical depth (AOD) and multivariate AOD-LUR models were used to estimate the level of PM2.5 in urban and rural areas. For epidemiological studies, it is also important to dist

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TUNALILAR, SECKIN, and ONUR DEMIRORS. "AN EXPLORATION OF FUNCTIONAL SIZE BASED EFFORT ESTIMATION MODELS." International Journal of Software Engineering and Knowledge Engineering 21, no. 03 (2011): 413–29. http://dx.doi.org/10.1142/s0218194011005347.

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A number of methods have been proposed to build a relationship between effort and size. These models are generally based on regression analysis and a widely accepted model is not yet available. Although in some sizing methods, such as MKII and IFPUG, different multipliers for the base functional components (BFC) exist, their origin and the purpose of their usage are undefined. The COSMIC method does not treat components separately and assigns the same measurement unit to each of them. In this study we used the Artificial Neural Network and regression based methods to create effort estimation m

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Jin, Yun-Tae, Ha-Yeon Kim, Min Jhon, et al. "Prediction of 12-Week Remission by Psychopharmacological Treatment Step in Patients With Depressive Disorders." Psychiatry Investigation 19, no. 10 (2022): 866–71. http://dx.doi.org/10.30773/pi.2022.0160.

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Objective To investigate the predictors of remission by 4 treatment steps in depressive outpatients receiving 12-week psychopharmacotherapy.Methods Patients were consecutively recruited at a university hospital in South Korea from March 2012 to April 2017. At baseline, 1,262 patients were evaluated for sociodemographic and clinical data including assessments scales, and were received antidepressant monotherapy. For patients with an insufficient response or uncomfortable side effects, next treatment steps (1, 2, 3, and 4) with alternative strategies (switching, augmentation, combination, and mi

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Stikliene, Aida. "Research on the Relationship Between Teachers’ Professional Skills and Students’ Expectations for Improving the Study Environment." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 8 (2018): 109. http://dx.doi.org/10.18844/prosoc.v4i8.2984.

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The teacher's attitude towards the teaching process and communication skills is of particular importance and plays a crucial role in today’s rapidly changing world. It has to go together, raising consciousness and awareness of individuals on study environment issues and ensuring that they contribute to solutions of learning problems. The research was conducted with 405 prospective professionals from the Faculty of Forest Sciences and Ecology, Aleksandras Stulginskis University. An interactive questionnaire ‘Study subject in student’s eyes’ (SSSE) developed at Aleksandras Stulginskis University

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Saad, Mostafa M., Ramanunni Parakkal Menon, and Ursula Eicker. "Supporting Decision Making for Building Decarbonization: Developing Surrogate Models for Multi-Criteria Building Retrofitting Analysis." Energies 16, no. 16 (2023): 6030. http://dx.doi.org/10.3390/en16166030.

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Decarbonizing buildings is crucial in addressing pressing climate change issues. Buildings significantly contribute to global greenhouse gas emissions, and reducing their carbon footprint is essential to achieving sustainable and low-carbon cities. Retrofitting buildings to become more energy efficient constitutes a solution. However, building energy retrofits are complex processes that require a significant number of simulations to investigate the possible options, which limits comprehensive investigations that become infeasible to carry out. Surrogate models can be vital in addressing comput

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Atakla, Hugues Ghislain, Fatoumata Lounceny Barry, Mahugnon Maurel Ulrich Dénis Noudohounsi, Benjamin Bekoe Ofosu, Ummi Sulaimi Sulemana, and Dismand Stephan Houinato. "Prognostic Indicators in Patients with Intracerebral Hematoma in an urban clinical setting of a resource limited Country." Nepal Journal of Neuroscience 18, no. 4 (2021): 33–38. http://dx.doi.org/10.3126/njn.v18i4.36701.

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Context and Objective: Hemorrhagic Cerebrovascular Accidents represent 10 to 15% of all strokes and are often related to the spontaneous rupture of small vessels weakened by chronic arterial hypertension or amyloid angiopathy. The aim of this work was to study the prognostic determinants of intracerebral haematomas at the neurology department of Conakry University Hospital. Patients and Method: This was a retrospective analytical study conducted on all patients who were hospitalized with intracerebral hematoma over the 24-month period. Only the records of patients in whom intracerebral h

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Terfa, Zelalem G., Sayem Ahmed, Jahangir Khan, and Louis W. Niessen. "Household Microenvironment and Under-Fives Health Outcomes in Uganda: Focusing on Multidimensional Energy Poverty and Women Empowerment Indices." International Journal of Environmental Research and Public Health 19, no. 11 (2022): 6684. http://dx.doi.org/10.3390/ijerph19116684.

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Young children in low- and middle-income countries (LMICs) are vulnerable to adverse effects of household microenvironments. The UN Sustainable Development Goals (SDGs)—specifically SDG 3 through 7—urge for a comprehensive multi-sector approach to achieve the 2030 goals. This study addresses gaps in understanding the health effects of household microenvironments in resource-poor settings. It studies associations of household microenvironment variables with episodes of acute respiratory infection (ARI) and diarrhoea as well as with stunting among under-fives using logistic regression. Comprehen

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Thomas, Mervin Joe, Mithun M. Sanjeev, A. P. Sudheer, and Joy M.L. "Comparative study of various machine learning algorithms and Denavit–Hartenberg approach for the inverse kinematic solutions in a 3-PPSS parallel manipulator." Industrial Robot: the international journal of robotics research and application 47, no. 5 (2020): 683–95. http://dx.doi.org/10.1108/ir-11-2019-0233.

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Purpose This paper aims to use different machine learning (ML) algorithms for the prediction of inverse kinematic solutions in parallel manipulators (PMs) to overcome the computational difficulties and approximations involved with the analytical methods. The results obtained from the ML algorithms and the Denavit–Hartenberg (DH) approach are compared with the experimental results to evaluate their performances. The study is performed on a novel 6-degree of freedom (DoF) PM that offers precise motions with a large workspace for the end effector. Design/methodology/approach The kinematic model f

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Shin, Jong Gye, and Jang Hyun Lee. "Nondimensionalized Relationship Between Heating Conditions and Residual Deformations in the Line Heating Process." Journal of Ship Research 46, no. 04 (2002): 229–38. http://dx.doi.org/10.5957/jsr.2002.46.4.229.

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The nature of a line heating process is very complex since a variety of factors affects the amount of residual deformation. A linear relationship between input and output parameters, which has been derived from simple experiments, is successively used. This relationship, however, is very limited since it does not include important parameters and the line heating process is not linear. A rigorous approach is presented here in an attempt to obtain new relationships between input parameters and final deformations during the line heating process. The residual deformations are investigated by using

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Fayyoumi, Ebaa, and Sahar Idwan. "Factors impacting Jordanian women in computing case study: Hashemite University." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 2 (2021): 1130. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp1130-1140.

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<p>We consider pursuing the Jordanian women their graduate studies in Information Technology disciplines as an indicator of socio-economic development and empowering women in Jordan. This paper presents the first study of multi-variate stereotypes that shape the problem by addressing the following factors: travel abroad, family matters, skills and experience, traditional and cultural differences, scholarship opportunities, financial matters, and language complications. These factors were extensively studied, and their effects were estimated by applying the linear-regression, one-way ANOV

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Gertz, Autumn, Benjamin Rader, Kara Sewalk, and John S. Brownstein. "Emerging Socioeconomic Disparities in COVID-19 Vaccine Second-Dose Completion Rates in the United States." Vaccines 10, no. 1 (2022): 121. http://dx.doi.org/10.3390/vaccines10010121.

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Although COVID-19 vaccination plans acknowledge a need for equity, disparities in two-dose vaccine initiation have been observed in the United States. We aim to assess if disparity patterns are emerging in COVID-19 vaccination completion. We gathered (n = 843,985) responses between February and November 2021 from a web survey. Individuals self-reported demographics and COVID-19 vaccination status. Dose initiation and completion rates were calculated incorporating survey weights. A multi-variate logistic regression assessed the association between income and completing vaccination, accounting f

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Bórawski, Piotr, Adam Pawlewicz, Andrzej Parzonko, Jayson, K. Harper, and Lisa Holden. "Factors Shaping Cow’s Milk Production in the EU." Sustainability 12, no. 1 (2020): 420. http://dx.doi.org/10.3390/su12010420.

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The milk market in the European Union (EU) is adjusting rapidly to the removal of dairy quotas. The most important changes include increased milk yield per cow, increased total milk production, decreased number of cows, and the decreased milk consumption. The main aim of the paper is to examine the milk production changes in the EU. We investigated the dynamics of changes in farm milk production during the period from 1998–2017 in the EU. Moreover, we investigated the impact of the removal of quotas on the production of milk on farms in the EU countries for the period from 2015–2017. Milk prod

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Omotayo, Osibanjo Adewale, Abolaji Joachim Abiodun, and Akinrole Olumuyiwa Fadugba. "Executives Perception of the Impact of Flexitime on Organizational Performance." International Journal of Applied Behavioral Economics 1, no. 3 (2012): 16–27. http://dx.doi.org/10.4018/ijabe.2012070102.

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The paper investigates the perception of Nigerian executives on the impact of flexitime on organizational performance. Effort is made to explore the attitudinal disposition of employees towards flexitime and how gender affects employee satisfaction with flexitime. The study, based on administered questionnaires as the main medium for data collection from managers in private sector of the Nigerian economy, utilizes correlations and multi-variate regression analysis to determine variables that significantly contribute to manager’s satisfaction with flexible work arrangement. The study finds that

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Gannon, P. O., I. H. Koumakpayi, C. Le Page, M. Alam Fahmy, A. Mes-Masson, and F. Saad. "High KI67 expression is associated, in a multi-variate model, with lower risk of biochemical recurrence in prostate cancer patients following radical prostatectomy." Journal of Clinical Oncology 25, no. 18_suppl (2007): 21112. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.21112.

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21112 Background: The prediction of disease progression in prostate cancer patients following radical prostatectomy (RP) remains problematic. The use of molecular markers could offer a better stratification of patients more at risk of progression. As such, we recently reported that nuclear ErbB3 was associated with Gleason score and hormone-refractory status. The objective of this study was to evaluate whether ErbB3 could predict overall biochemical recurrence (BCR). In addition, we evaluated if three nuclear markers known to be associated with progression (Cyclin D1, Ki67 and androgen recepto

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Dumitra, Sinziana, Rebecca A. Nelson, Vasilena Zheleva, Mustafa Raoof, and Lily L. Lai. "Minimally invasive surgery to improve time to chemotherapy in colon cancer: Compliance to the American College of Surgeons Commission on Cancer quality metrics." Journal of Clinical Oncology 35, no. 4_suppl (2017): 712. http://dx.doi.org/10.1200/jco.2017.35.4_suppl.712.

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712 Background: One of the American College of Surgeons Commission on Cancer (ACS CoC) quality measures in colon cancer is receipt of chemotherapy (CT) in Stage III disease within 120 days of diagnosis. Minimally invasive surgery (MIS) has been associated with faster recovery times. The aim of this study is to assess whether MIS improves compliance to this metric. Methods: Stage III colon cancer patients 80 years old and younger from 2010 to 2012 were identified in the National Cancer Database. Demographic, tumor and treatment characteristics were evaluated including receipt of CT and surgical

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Gebremickael, Abinet, Tsegaye Yohanes, Nega Chufamo, and Belay Boda. "Assessment of Knowledge and Associated Factors towards Congenital Anomalies among Pregnant Women Visiting Antenatal Care Clinic at Arba Minch General Hospital, Gamo Zone, Southern Ethiopia." OMO International Journal of Sciences 4, no. 1 (2021): 64–75. http://dx.doi.org/10.59122/135a4d3.

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Knowledge of Congenital anomalies (CAs) among the public, especially reproductive age women have a significant role in reducing the incidence. However, there is a dearth of studies conducted on this issue in our country. This study was aimed to assess the pregnant women’s knowledge of CAs at the antenatal care clinic of Arba Minch General Hospital. Institution based cross-sectional study was conducted between December 2017 and September 2018. Semi-structured questionnaire was used to collect the data. Data were cleaned, entered and analysed by using SPSS version- 20 software packages. Besides

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