Search results for "PLE"

showing 10 items of 22773 documents

Multiple factor analysis: principal component analysis for multitable and multiblock data sets

2013

multiple factor analysis barycentric discriminant analysis (mufabada)statis[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]principal component analysismultiblock correspondence analysisbarycentric discriminant analysis (bada)generalized procrustes analysis (gpa)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]consensus pca[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]multiblock pcamultiple factor analysis (mfa)multiple factorial analysis[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]multitable pca[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]indscalmultiblock barycentric discriminant analysis (mudica)generalized singular value decomposition
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Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model

2022

Information and Communication Technologies (ICTs) have become a key factor in the educational context, especially in the aftermath of the COVID-19 pandemic, and, correctly implemented, can help to improve academic performance. The aim of this research was to analyse the factors that influence teachers’ decisions to use ICT more- or less frequently to carry out tasks and exercises in their classes. To this end, we estimated a multilevel logistic model with census data from the individualized evaluation of students of the Community of Madrid (Spain) carried out at the end of the 2018–2019 academic year in primary and secondary education. Additionally, we applied multiple imputation techniques…

multiple imputationTecnologia de la informacióICTlogistic regressionGeneral MathematicsICT; logistic regression; multilevel or hierarchical model; multiple imputation; teachingComputer Science (miscellaneous)ComputingMilieux_COMPUTERSANDEDUCATIONUNESCO::CIENCIAS ECONÓMICASmultilevel or hierarchical modelEngineering (miscellaneous)teachingMathematics; Volume 10; Issue 5; Pages: 799
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Study on the Correlation Between Working Capital and Economic Value Added for the Companies Relating to the Hotel and Restaurant Industry Listed on t…

2020

In the present study was determined the influence of the value change of the working capital on the variation of the economic value added indicator on a sample consisting of a number of 26 companies (2007-2017) belonging to the hotel and restaurant industry, listed on the Bucharest Stock Exchange. The correlation between the indicators was achieved by using the multiple linear regression method. The study showed that there is a strong link between the two economic indicators, over 80% of the change in economic value being explained by the change in working capital. It was found that a 1% increase in working capital, for the period 2007-2017, had the effect of increasing the economic value a…

multiple linear regressionfinancial performancelcsh:HB71-74working capitaleconomic value addedlcsh:Economics as a sciencelcsh:Businesslcsh:HF5001-6182Ovidius University Annals: Economic Sciences Series
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The Influence of Hedonic and Utilitarian Motivators on Likelihood to Buy a Tourism Package

2013

To fully understand the pattern of choice, it is important that any explanation of consumer behavior to be accompanied by a complete understanding of the interplay between a consumer’s functional goals and experiential preferences within the decision context. Consumer researchers have increasingly begun to investigate consumer choice based on distinctions that involve the purchase and consumption of goods for pleasure versus for more utilitarian and instrumental purposes. Consumers are often faced with these types of choices between hedonic and utilitarian alternatives that are at least partly driven by emotional desires rather than cold cognitive deliberations. This research approaches fac…

multiple linear regressionhedonic motivatorsjel:M31lcsh:Marketing. Distribution of productstourismutilitarian motivatorsdecision making processlcsh:HF5410-5417.5consumer behaviorhedonic motivators utilitarian motivators tourism decision making process consumer behavior multiple linear regressionExpert Journal of Marketing
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Buying Intentions Influenced by Various Determinants in Tourism

2014

Marketing has acquired a central role in tourism because it helps organizations to create value in transactions with buyers. Thus, this important area of any business process is used to educate consumers, to add value to their experience in tourism, and to seek new ways to reward loyalty through innovative schemes (e.g., programs for frequent travelers). This paper presents the examination of the responses of 154 tourists in relation to their intention to purchase a travel package and the factors that are usually decisive in the decision making process regarding tourism services, factors that could also create the loyalty that any tourism enterprise can create through marketing.

multiple linear regressionpurchase intentionjel:M31purchase intention consumer behavior determinants customer loyalty multiple linear regressionlcsh:Marketing. Distribution of productscustomer loyaltylcsh:HF5410-5417.5consumer behavior determinantsExpert Journal of Marketing
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Nekustāmā īpašuma vērtēšanas modeļi

2015

Bakalaura darbs veltīts nekustāmā īpašuma masveida vērtēšanas problemātikai. Bakalaura darbā apskatīti nekustāmā īpašuma masveida vērtēšanas pamatprincipi un vērtēšanā izmantotie modeļu tipi. Darbā apskatīta ratio analīzes metodoloģija, kas tiek izmantota masveida vērtēšanas rezultātu novērtēšanai. Aprakstot spēkā esošo dzīvokļa īpašuma vērtēšanas modeli, ko izmanto Valsts zemes dienests, darbā piedāvāts vērtēt dzīvokļa īpašumu kā vienotu īpašumu, nedalot tās vērtību atsevišķās sastāvdaļas, tādās kā zeme, koplietošanas telpas un dzīvokļa īpašuma telpu grupas, kā arī veikti citi esošā modeļa uzlabojumi. Pārejot uz vienota īpašuma vērtēšanas principu, ar lineārās regresijas palīdzību iegūts j…

multiple linear regressionreal estate mass appraisalnekustamā īpašuma masveida vērtēšanaMatemātikaratio analīzelineārā regresija
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Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma

2023

AbstractThe historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK–MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time …

multiple myeloma mouse model immune system immunotherapyGeneral MedicineGeneral Biochemistry Genetics and Molecular Biology
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Practical Considerations for the Daratumumab Management in Portuguese Routine Clinical Practice: Recommendations From an Expert Panel of Hematologists

2022

The recent therapeutic progress in multiple myeloma (MM) has led to the introduction of novel and highly potent drug classes. Daratumumab was the first CD38-targeting antibody showing to be effective and safe in MM patients as monotherapy and in combination regimens, which led to its rapid implementation in clinical practice. Considering that treatment discontinuation for drug-related adverse events can impact patients’ quality of life and outcomes, the treatment decision should consider different factors and be weighted for each patient individually. Here, we aimed to guide clinicians using daratumumab treatment for MM by addressing practical real-world considerations based on an expert pa…

multiple myelomaCancer ResearchOncologydelivery of health careNeoplasms. Tumors. Oncology. Including cancer and carcinogensadverse reactionsdaratumumabdrug-related side effectsRC254-282Frontiers in Oncology
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Network meta-analysis of randomized trials in multiple myeloma: Efficacy and safety in frontline therapy for patients not eligible for transplant

2022

The treatment scenario for newly-diagnosed transplant-ineligible multiple myeloma patients (NEMM) is quickly evolving. Currently, combinations of proteasome inhibitors (PI) and/or immunomodulatory drugs (IMiD) +/- the monoclonal antibody Daratumumab are used for first-line treatment, even if head-to-head comparisons are lacking. To compare efficacy and safety of these regimens, we performed a network meta-analysis (NMA) of 27 phase 2/3 randomized trials including a total of 12935 patients and 23 different schedules. Four efficacy/outcome and one safety indicators were extracted and integrated to obtain (for each treatment) the surface under the cumulative ranking-curve (SUCRA), a metric use…

multiple myelomaCancer ResearchOncologyprincipal component analysisnon-transplant eligibleI line treatment multiple myeloma network meta-analysis non-transplant eligible principal component analysisHematologyGeneral MedicineSettore MED/15 - Malattie del SangueI line treatmentnetwork meta-analysisI line treatment; multiple myeloma; network meta-analysis; non-transplant eligible; principal component analysis;
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Survival Risk Scores for Real-Life Relapsed/Refractory Multiple Myeloma Patients Receiving Elotuzumab or Carfilzomib In Combination With Lenalidomide…

2022

The present study aimed to develop two survival risk scores (RS) for overall survival (OS, SRSKRd/EloRd) and progression-free survival (PFS, PRSKRd/EloRd) in 919 relapsed/refractory multiple myeloma (RRMM) patients who received carfilzomib, lenalidomide, and dexamethasone (KRd)/elotuzumab, lenalidomide, and dexamethasone (EloRd). The median OS was 35.4 months, with no significant difference between the KRd arm versus the EloRd arm. In the multivariate analysis, advanced ISS (HR = 1.31; P = 0.025), interval diagnosis–therapy (HR = 1.46; P = 0.001), number of previous lines of therapies (HR = 1.96; P < 0.0001), older age (HR = 1.72; P < 0.0001), and prior lenalidomide exposure (…

multiple myelomaCancer ResearchcarfilzomibOncologylenalidomidesurvival.elotuzumabprognosiprognostic scorerelapsed/refractoryFrontiers in oncology
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