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Academic literature on the topic 'Factor Analysi'

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Published: 9 March 2023
Last updated: 14 March 2023

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Journal articles on the topic "Factor Analysi"

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Erawati, Teguh, and Sisilia Stefani Wuarlela. "Ukuran Perusahaan, Profitabilitas, Likuiditas, Pertumbuhan Laba Dan Kualitas Laba Pada Perusahaan Pertambangan Di Indonesia." Jurnal Literasi Akuntansi 2, no. 2 (August 5, 2022): 157–66. http://dx.doi.org/10.55587/jla.v2i2.62.

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Purpose: This study aims to prove the effect of firm size ,profitability, liquidity and earnings growth on earnings quality.the research sample is mining companies listed on the indonesia stck exchange (IDX) in 2017-2020 using purposive sampling. Method: sampling used sampling method and produced 80 sample data. Data analysi technques wit multiple linier analysis Finding: this study shows that firm size has no significant effect on earnings quality,profitability has a significant effect on earnings quality,liquidity has asignificant offect on earnings quality and earning rowth has no significant effect on earning quality. Novelty: The implications of this research are relted to earning quality.other financial statement informasion needs to the quality of earnings in the company.this shows that users of financial statements,especially investor, need to consider the liquidity factor when making decisions for invertors in affiliated companies
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Erawati, Teguh, and Sisilia Stefani Wuarlela. "Ukuran Perusahaan, Profitabilitas, Likuiditas, Pertumbuhan Laba Dan Kualitas Laba Pada Perusahaan Pertambangan Di Indonesia." Jurnal Literasi Akuntansi 2, no. 2 (August 5, 2022): 157–66. http://dx.doi.org/10.55587/jla.v2i2.62.

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Purpose: This study aims to prove the effect of firm size ,profitability, liquidity and earnings growth on earnings quality.the research sample is mining companies listed on the indonesia stck exchange (IDX) in 2017-2020 using purposive sampling. Method: sampling used sampling method and produced 80 sample data. Data analysi technques wit multiple linier analysis Finding: this study shows that firm size has no significant effect on earnings quality,profitability has a significant effect on earnings quality,liquidity has asignificant offect on earnings quality and earning rowth has no significant effect on earning quality. Novelty: The implications of this research are relted to earning quality.other financial statement informasion needs to the quality of earnings in the company.this shows that users of financial statements,especially investor, need to consider the liquidity factor when making decisions for invertors in affiliated companies
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Kratochvíl, Petr. "The determination of factors in linear models of factor analysis." Applications of Mathematics 35, no. 5 (1990): 350–55. http://dx.doi.org/10.21136/am.1990.104416.

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Budi S, Surawan Setya. "PENGARUH INPUT PROSES RELATIONSHIP MARKETING TERHADAP OUTPUT PROSES RELATIONSHIP MARKETING." Kajian Bisnis STIE Widya Wiwaha 27, no. 2 (July 24, 2019): 190–206. http://dx.doi.org/10.32477/jkb.v27i2.349.

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This research use relationship marketing teory which applied 4 factor of input process understanding customer expectations, building service partnerships, empowiring employers, and total quality management, and output relationship marketing process: customer satisfaction and customer layalty. The objective of this research is to find out wich factors of input process that has more impact on the output process in relationship marketing. There are 60 trusted correspondencea from Grand Inna Malioboro Hotel customer whom at least have been stayed at the hotel three times. The method of collecting data in these research use questioners and Likert scale measuring instrument 5 points that will be tested by the instrument and analyzed by using regressision analysi the simultaneous test of variabel for the relationship marketing input s. The result of the instrument shows the items used are valid and reliable. It displays the outpout process passed the assumtions test, while the signifikacant relationship marketingto the output of relationtionship marketing, For the passive test of vareable input process relationship marketing with the ouput process relationship marketing shows all significant variables unless vareabel understands customer expectations does not have a significant effect on the process of output relationship marketing
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S, Surawan Setya Budi. "PENGARUH INPUT PROSES RELATIONSHIP MARKETING TERHADAP OUTPUT PROSES RELATIONSHIP MARKETING STUDI KASUS GRAND INNA MALIOBORO HOTEL & CONVENTION." Kajian Bisnis Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha 27, no. 2 (August 31, 2019): 190–206. http://dx.doi.org/10.32477/jkb.v27i2.62.

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This research use relationship marketing teory which applied 4 factor of input process understanding customer expectations, building service partnerships,empowiring employers, and total quality management, and output relationship marketing process: customer satisfaction and customer layalty. The objective of this research is to find out wich factors of input process that has more impact on the output process in relationship marketing. There are 60 trusted correspondencea from Grand Inna Malioboro Hotel customer whom at least have been stayed at the hotel three times. The method of collecting data in these research use questioners and Likert scale measuring instrument 5 points that will be tested by the instrument and analyzed by using regressision analysi the simultaneous test of variabel for the relationship marketing input s. The result of the instrument shows the items used are valid and reliable. It displays the outpout process passed the assumtions test, while the signifikacant relationship marketingto the output of relationtionship marketing, For the passive test of vareable input process relationship marketing with the ouput process relationship marketing shows all significant variables unless vareabel understands customer expectations does not have a significant effect on the process of output relationship marketing.
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Dr.G.Kalaivanan, Dr G. Kalaivanan, and B. Ussaima B.Ussaima. "Factors Attracting Children to View TV Commercials - A Study Using Factor Analysis." Indian Journal of Applied Research 4, no. 6 (October 1, 2011): 71–73. http://dx.doi.org/10.15373/2249555x/june2014/21.

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Devica, Sadana. "PERSEPSI KONSUMEN TERHADAP FLASH SALE BELANJA ONLINE DAN PENGARUHNYA PADA KEPUTUSAN PEMBELIAN." Jurnal Bisnis Terapan 4, no. 1 (June 26, 2020): 47–56. http://dx.doi.org/10.24123/jbt.v4i1.2276.

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Penelitian ini bertujuan untuk mengetahui bagaimana persepsi konsumen terhadap program promosi dalam bentuk flash sale dan bagaimana pengaruhnya tehadap keputusan pembelian. Penelitian ini dilakukan pada 145 orang responden, sedangkan untuk teknik analisis data menggunakan confirmatory factor analysi (CFA) dan analisis regresi. Terdapat tujuh indikator persepsi konsumen yang diteliti, meliputi flash sale belanja online merupakan kesepakatan harga yang sangat menguntungkan konsumen, flash sale belanja online benar-benar menawarkan harga produk yang murah, produk yang ditawarkan pada saat flash sale belanja online tetap lebih murah meskipun di toko/ritel juga menawarkan promosi harga diskon, produk yang ditawarkan pada saat flash sale belanja online merupakan produk yang berkualitas, produk yang ditawarkan pada saat flash sale belanja online sangat beragam (bervariasi), berbelanja secara online pada saat flash sale sangat aman (dari aspek keaslian produk, metode pembayaran dan proses pengiriman), dan berbelanja secara online pada saat flash sale sangat mudah dan praktis. Hasil dari penelitian menunjukkan bahwa persepsi konsumen berpengaruh positif dan signifikan terhadap keputusan pembelian. Bahkan terkadang konsumen juga melakukan pembelian tanpa perencanaan terlebih dahulu (impulse buying) ketika mereka mengetahui terdapat promo flash sale.
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Pattnaik, Sudhanshu. "An Empirical Investigation into the Factors Influencing While Purchasing Car in India-A Confirmatory Factor Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (October 25, 2019): 404–10. http://dx.doi.org/10.5373/jardcs/v11sp10/20192821.

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Majumdar, Dr Kakali. "Factor Analysis and Business Research." Indian Journal of Applied Research 1, no. 6 (October 1, 2011): 151–54. http://dx.doi.org/10.15373/2249555x/mar2012/52.

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Gurčík, Ľ., and V. Jančíková. "Factor analysis of owners equity effectiveness." Agricultural Economics (Zemědělská ekonomika) 48, No. 5 (February 29, 2012): 229–32. http://dx.doi.org/10.17221/5308-agricecon.

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The paper shows methodical procedure and results of factor analysis of owners equity effectiveness in form of quantification and determination of analytical indicators of their pyramidal system. The analysis is realised through comparison of aggregated values of two groups of enterprises (per 30 each group) for the period 1998–2000. First group of enterprises is in the first third of soil price groups in Slovakia (cheapest soil) and the second group in the third of price group of the most expensive soil.
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Dissertations / Theses on the topic "Factor Analysi"

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OPERTI, VALERIO. "Travellers¿ Preferences and Attitudes to understand Travel Behaviour and define Market Segmentation." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2739920.

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SCOZZA, EMILIANO. "Absolute risk analysis applied to contaminated sites." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/1106.

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Lo strumento “Analisi di Rischio” per la valutazione dei siti contaminati è in uso da alcune decine di anni ed ha ricevuto un forte impulso negli USA con il Programma Superfund ed in Europa con l’emergere del problema del risanamento di un numero molto ampio di siti e con l’avvio di programmi di collaborazione internazionale. La procedura di analisi di rischio può essere condotta in modalità diretta (forward mode) o inversa (backward mode). La modalità diretta permette di stimare il rischio sanitario per il recettore esposto, sia posto in prossimità del sito (on-site) che ad una certa distanza (off-site), conoscendo la concentrazione in corrispondenza della sorgente di contaminazione. Avendo invece fissato il livello di rischio per la salute ritenuto accettabile per il recettore esposto, la modalità inversa permette il calcolo della massima concentrazione in sorgente compatibile con la condizione di accettabilità del rischio. L’Agenzia Italiana per la Protezione dell’Ambiente ed i Servizi Tecnici (ora ISPRA, già APAT) ha recentemente sviluppato delle linee guida che forniscono una procedura standard per l’applicazione dell’analisi di rischio ai siti contaminati. In particolare sono fornite delle indicazioni tecniche per l’esecuzione di un livello 2 di analisi di rischio; tale livello di analisi si basa su alcune assunzioni semplificative: • il trasporto dei contaminanti viene descritto attraverso equazioni analitiche che però non sono state validate né attraverso un confronto con dati sperimentali né attraverso un confronto con i risultati forniti da modelli numerici. • Non viene considerata l’attenuazione della contaminazione attraverso il fenomeno biodegradativo. • La catena alimentare non viene considerata come possibile via di esposizione alla contaminazione. Inoltre, quando il lavoro di dottorato è stato iniziato, la prima revisione delle linee guida fornite dall’APAT comprendeva unicamente la procedura per l’applicazione dell’analisi di rischio in modalità diretta. Lo scopo del presenta lavoro di dottorato, che è stato sovvenzionato dall’APAT, è stato quello di implementare la procedura di analisi di rischio proposta nelle linee guida andando a sviluppare le tematiche viste precedentemente. Nel capitolo 1, dopo un breve introduzione sui fondamenti dell’analisi di rischio, è stata sviluppata una procedura per il calcole delle concentrazioni soglia di rischio, cosi come richiesto dalla nuova legislazione italiana (D.M. 152/06) Nel capito 2 sono state analizzate le procedure e le assunzioni sulla catena alimentare vegetale proposte da alcuni documenti tecnici e software, è stata quindi proposta una procedura standard da implementare nella struttura dell’analisi di rischio. Nel capitolo 3 sono stati confrontati i risultati ottenuti dall’applicazione delle equazioni analitiche per il trasporto dei contaminanti, utilizzate nel livello 2 di analisi, con quelli forniti dai modelli numerici di trasporto. in particolare sono stati analizzati due fattori di trasporto: • il fattore di lisciviazione, LF, che descrive il trasporto dei contaminanti nella zona insatura; • il fattore di attenuazione laterale in falda, DAF, che descrive il trasporto dei contaminanti nella zona satura. Nel capitolo 4 è stata studiata l’influenza del fenomeno biodegradativo in zona insatura sull’intrusione indoor dei contaminanti, in modo da capire quanto tale fenomeno sia influente nella volatilizzazione in ambienti confinati. Infine, durante le attività di dottorato, è stato sviluppato un software di analisi di rischio basato sulle linee guida APAT integrato con un database contenente le caratteristiche chimico-fisiche e tossicologiche dei contaminanti.
The instrument 'Risk Analysis' for the assessment of contaminated sites has been used for several years and has received a strong boost in the U.S. in the framework of the Superfund Program and in Italy has gained wider relevance after the introduction of new environmental legislation. Risk analysis is currently the most advanced procedure for the evaluation of the degree of contamination of an area and to define the priorities and modalities of intervention in the site itself. The risk analysis procedure can be conducted in forward mode or backward mode. The forward mode allows estimating the health risk for the exposed receptor, whether located near the site (on-site) or at some distance (off-site), given the concentration at the source of contamination. Having instead set the level of risk to health considered acceptable to the exposed receptor, the backward mode allows the calculation of the highest concentration at the source compatible with the condition of acceptability of the risk, i.e. the so-called site-specific target level. The Italian Agency for Environmental Protection (now ISPRA, formerly APAT) has recently issued a guideline document that provides a standard procedure for application of risk analysis to contaminated sites. This guideline document is based on a Tier 2 risk analysis approach, which is based on a series of simplifying assumptions: • Contaminant transport is described through the analytical equations which are not validated with experimental data or with numerical model results. • Attenuation of contaminant through biodegradation phenomena is not accounted for; • Exposure to contaminants through the food chain is neglected. Besides, when this thesis was started, the document included only the procedure for applying the risk analysis in forward mode. The work performed within this PhD thesis, supported by APAT, was to upgrade the procedure for application of risk analysis to contaminated sites, including also the unresolved issues listed above. In chapter 1, after a short background on the fundamentals of risk analysis, a procedure to obtain the threshold risk concentration, as requested by the new Italian legislation (D.M. 152/06) was developed. In chapter 2 the assumption and the procedure suggested by several technical documents and software on the exposure through the food chain were analyzed and a standard procedure was suggested for implementation in the risk analysis framework. In chapter 3 the results of the analytical equation selected for tier II risk analysis were compared with those provided by numerical transport models. The validation of the equations for Tier 2 risk analysis was performed on two key transport factors: • The Leaching Factor, LF, which describes the contaminant transport through the vadose zone; • The Dilution Attenuation Factor, DAF, which describes the contaminant transport through the acquifer. In chapter 4 the influence of the vadose zone biodegradation related to the indoor vapour intrusion was studied in order to understand how this phenomena can influence the chemical volatilization to indoor environment. Besides, in the framework of the PhD activities, a risk analysis software, based on the APAT guidelines, was developed and linked to a database of the chemical and toxicological properties of the contaminants, properly developed.
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GIOVANNELLI, ALESSANDRO. "Nonlinear forecasting using a large number of predictors." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2010. http://hdl.handle.net/2108/1333.

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L’obiettivo principale di questa tesi è di introdurre un modello non lineare, “Feedforward Neural Network-Dynamic Factor” (FNN-DF), per la previsione di serie macroeconomiche utilizzando un numero elevato di variabili. La tecnica usata per riassumere le variabili in un piccolo numero di fattori è il “Generalized Dynamic Factor Model” (GDFM), mentre le reti neurali di tipo “Feedforward” sono utilizzate per rappresentare la non-linearità. Comunemente nella letteratura del GDFM, le previsioni sono effettuate con modelli lineari. Tuttavia tali tecniche spesso non sono correttamente specificate e le previsioni risultanti forniscono soltanto un’approssimazione alla migliore previsione possibile. Nel tentativo di ottener previsioni più accurate, il modello FNN-DF è stato introdotto. Per determinare l'utilità pratica del modello, sono stati svolti diversi esercizi di previsione per otto variabili mensili dell'economia degli Stati Uniti per differenti orizzonti previsivi a 1-, 3 -, 6 -, 9 e 12 mesi. I fattori sono stati stimati utilizzando un data set di 131 variabili mensili dell’economia degli Stati Uniti. Lo studio empirico mostra che il modello FNN-DF ha buone capacità di prevedere le variabili oggetto di studio soprattutto nel periodo antecedente l’inizio della “Great Moderation”, cioè il 1984. In seguito il FNN-DF ha la stessa accuratezza in previsione rispetto al modello di riferimento.
This dissertation aims to introduce a nonlinear model to forecast macroeconomic time series using a large number of predictors, namely the Feedforward Neural Network - Dynamic Factor Model (FNN-DF). The technique used to summarize the predictors in a small number of factors is Generalized Dynamic Factor Model, while the method used to capture nonlinearity is artificial neural networks, specifically Feedforward Neural Network. Commonly in GDFM literature, forecasts are made using linear models. However linear techniques are often misspecified and the resulting forecasts provide only a poor approximation to the best possible forecast. In an effort to address this issue, the technique we propose is FNN-DF. To determine the practical usefulness of the model, we conducted several pseudo forecasting exercises on 8 series of the United States economy. The series we were interested in forecasting were grouped in real and nominal categories. This method was used to construct the forecasts at 1-, 3-, 6-, 9 and 12-month horizons for monthly U.S. economic variables using 131 predictors. The empirical study shows that FNN-DF has good ability to predict the variables under study in the period before the start of the "Great Moderation", namely 1984. After 1984, FNN-DF has the same accuracy in forecasting with respect to the benchmark.
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COMOTTI, ANNA. "Assessing psychometric scales through IRT-based modelling with application to COVID-19 data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/365350.

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In ambito psicometrico, un tratto latente è una caratteristica non osservabile di un individuo. Per misurare tale tratto si ricorre comunemente all’uso di questionari che attraverso le risposte ad una serie di domande produce un punteggio totale indicativo di tale tratto latente. Il punto di partenza di questo lavoro è stata l’analisi di dati raccolti tra operatori sanitari di un grosso ospedale di Milano che hanno affrontato la pandemia COVID-19 e il cui benessere psicologico è stato valutato attraverso scale validate (GHQ-12, IES-r, GAD-7). In questo contesto, la Teoria Classica dei Test (TCT) e l’Item Response Theory (IRT) rappresentano le due teorie principali per analizzare in modo opportuno test basati su questionari. In psicometria l’uso della TCT è molto diffuso, mentre l’IRT sta avendo un crescente utilizzo solo recentemente. Partendo da una serie di quesiti clinici nati all’interno del contesto sanitario in cui tale lavoro è stato svolto, abbiamo analizzato preliminarmente i dati relativi a questionari di 990 operatori sanitari arruolati tra Luglio 2020 e Luglio 2021 attraverso un’analisi dei fattori di rischio per la compromissione del benessere psicologico. Abbiamo poi analizzato le scale psicometriche intendendole come strumenti di misurazione di un tratto latente. Abbiamo mostrato l’utilità e i benefici della teoria IRT applicandola ad una delle scale somministrate nei questionari, la General Health Questionnaire-12 (GHQ-12), un test ampiamente usato per valutare la salute mentale di un individuo. Attraverso l’IRT abbiamo indagato tre principali aree di interesse. Tramite la versione multidimensionale dei modelli IRR abbiamo indagato la dimensionalità, mostrando che la salute mentale degli operatori sanitari è stata affetta principalmente da due fattori misurati dalla GHQ-12, che hanno impattato in modo diverso il benessere psicologico. Da un lato è emerso un chiaro e diffuso stato di stress e preoccupazione, dall’altro molti individui hanno provato una sensazione di non avere un ruolo utile tramite proprio lavoro e di non essere in grado di prendere decisioni. Tramite l’analisi del DIF (differential item functioning) abbiamo evidenziato le differenze nelle risposte al questionario in sottogruppi: tra chi ha lavorato direttamente o indirettamente a contatto con pazienti COVID-19 e tra chi è stato arruolato prima o dopo la campagna vaccinale. Attraverso la versione di modelli IRT basata su classi latenti abbiamo mostrato come certe tipologie di risposta riescono a prevedere l’esito finale dello screening psicologico dei soggetti, che prevede in tutto tre fasi. Infine, nell’ambito della statistica robusta, abbiamo proposto un algoritmo basato sul metodo forward search per l’individuazione di risposte atipiche nei questionari e lo abbiamo testato ad un caso particolare di modelli IRT, il modello di Rasch.
A latent trait is an unobservable psychological attribute of an individual. A common way to measure it relies on the use of questionnaires, which collect person’s responses to test items and calculate a score representing the underlying latent trait. We analysed data collected among health care workers (HCWs) who faced COVID-19 pandemic and whose psychological wellbeing was evaluated through psychometric scales (GHQ-12, IES-r, GAD-7). Classical test theory (CTT) and item response theory (IRT) represent two different measurement frameworks. Starting from a series of clinical questions arising from a specific medical environment, objectives of this work were to explore the clinical implication of the tests’ outcome, performed through risk factor analysis for psychological impairment on a sample of 990 HCWs, and to evaluate the structure of the scales intended as measurement tools. We provided demonstration of the utility of IRT as compared with CTT-based method through the analysis of General Health Questionnaire – 12 (GHQ-12 questionnaire), a valid and reliable tool widely used to measure mental health. IRT-based techniques enable us to delve in several areas of interest of GHQ-12 questionnaire. Through the multidimensional version of IRT models we assess its dimensionality, finding that HCWs' psychological wellbeing was affected by general discomfort and stress together with a strong feeling of uselessness and inability to make decisions. Differential item functioning (DIF) detection performed with IRT investigated possible differences in responses between subjected directly or indirectly involved with COVID-19 patients and between workers enrolled before or after vaccination campaign, showing how their psychological status was affected by such circumstances. The discrete version of IRT (based on latent class analysis) allowed to determine how some response pattern may predict individual’s outcome of psychological wellbeing evaluation which consisted in three steps. Lastly, we explored the issue of atypical response pattern detection applying Forward Search algorithm to Rasch model.
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GRATTON, PAOLO. "Phylogeography and conservation genetics of parnassius mnemosyne l. : 1758 (lepidoptera, papilionidae)." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2005. http://hdl.handle.net/2108/202665.

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Il presente lavoro ha l’obiettivo di fornire una base di informazioni sulle relazioni tra la distribuzione spaziale e la variazione genetica in popolazioni del lepidottero Parnassius mnemosyne. Un totale di 172 individui provenienti da 58 località, rappresentative dell’intero areale della specie, sono stati caratterizzati per le sequenze di due geni mitocondriali (COI e ND5) e un gene nucleare (EF-1α). Un campione di 397 individui da 16 località italiane (Alpi centro-orientali, Appennino Centrale e Sicilia) è stato analizzato impiegando 5 loci microsatellite appositamente sviluppati. I risultati hanno messo in luce evidenze genetiche della lunga e complessa storia geografica di questa specie e l’analisi della distribuzione geografica degli aplotipi mitocondriali ha permesso di ricostruirne con una certa accuratezza le tappe più significative. È chiaro che P. mnemosyne aveva raggiunto una distribuzione Eurasiatica simile all’attuale già alla fine del Pleistocene inferiore. La presenza di aplogruppi fortemente differenziati in aree geografiche distinte indica chiaramente che periodi di grande frammentazione dell’areale hanno contraddistinto il Pleistocene medio e superiore. In particolare, le popolazioni dell’Europa sud-occidentale (Pirenei, penisola Italiana, Sicilia, Alpi Occidentali) e quelle dell’Europa nord-orientale (dalle Alpi Orientali, e la Penisola Balcanica fino agli Urali) appaiono caratterizzate da aplotipi mitocondriali altamente divergenti (l’inizio della divergenza è databile a oltre 1 milione di anni fa) e da sequenze nucleari distinte. I due gruppi meritano senz’altro di essere considerati come differenti Unità Evolutivamente Significative (ESUs) e rappresentano probabilmente specie distinte sensu Mayr. Popolazioni portatrici dei due diversi aplogruppi sono state osservate a poche decine di chilometri di distanza nelle Alpi centro-orientali italiane e non mostrano traccia di introgressione mitocondriale e nucleare. L’impiego del DNA microsatellite ha confermato il completo differenziamento tra i profili genetici di individui portatori dei differenti aplotipi mitocondriali. I marcatori microsatellite hanno permesso di individuare l’esistenza di una debole struttura genetica su scala locale nelle popolazioni del Parco Regionale dei Monti Simbruini (Lazio) e hanno evidenziato una significativa riduzione della variabilità genetica nelle popolazioni marginali dei Monti Aurunci (Lazio) e soprattutto della Sicilia. I risultati ottenuti intendono costituire una base di conoscenze genetiche utile alla pianificazione di future misure volte alla conservazione della specie.
Present work is addressed at providing basic information about relationships between patterns of geographic distribution and genetic variation in populations of the montane butterfly Parnassius mnemosyne. A total of 172 individuals from 58 localities representing most of the species range have been sequenced at part of two mitochondrial genes (COI and ND5) and one nuclear gene (EF-1α). A sample of 397 individuals from 16 italian localities (Central-Eastern Alps, Central Apennine and Sicily) has been characterized at 5 newly developed microsatellite loci. Phylogeographic analysis of mitochondrial and nuclear sequences showed that P. mnemosyne populations bear genetic traces of a geographic history about one million years long. Highly divergent mitochondrial lineages mark at least two evolutionarily significant units in Europe, which may indeed represent different species. Nested Clade Analysis was employed in a reconstruction of the main stages of the history of the species during the Pleistocene, including possible evidences of survival in Northern refugia during last glacial episodes. Novel microsatellite markers have been tested on some critical areas and provided evidences of genetic structuring at the scale of a few kilometers. Marked reduction of genetic variability was evidenced in “marginal” populations from Monti Aurunci (Lazio) and Sicily. Results are meant to offer a genetically based framework for planning future conservation effort.
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RONCALLO, LUCA. "Evolutionary spectral model for thunderstorm outflows and application to the analysis of the dynamic response of structures." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1080956.

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Thunderstorms are destructive phenomena at the mesoscale with extension of few kilometres and short duration, potentially dangerous for mid-low structures. The nonstationary nature of the wind field generated by thunderstorm outflows makes most of the theory and models developed for extra-tropical cyclones unsuitable and their small extension make them difficult to be detected by one single anemometer. These circumstances prevent the collection of precious data over which research can be carried out and the development of robust models for rapid engineering calculations shared by the scientific community. Therefore, a unified and reliable analytical model for the assessment of the maximum dynamic response to thunderstorms coherent with the techniques commonly adopted in wind engineering is not yet available. In this framework, the thesis introduces an Evolutionary Power Spectral Density (EPSD) model of the wind velocity related of thunderstorm outflows, consistent with full-scale records, and studies its application to calculate the alongwind dynamic response of structures and its maximum from an operative perspective. The EPSD model is derived starting from the analysis of 129 full-scale thunderstorm records, assuming the turbulent fluctuations uniformly modulated and the turbulence intensity constant. The reliability of the assumptions are verified on the basis of the data available. Three analytical models for the modulating function of the slowly-varying mean wind velocity are proposed. The models are based on the functions extracted from the records and include parameters of physical meaning for the thunderstorm outflow. Moreover, the possibility of adopting the classical spectral models of synoptic winds to model the stationary part of the turbulence is verified. Successively, the EPSD model is adopted to calculate the dynamic response of a set of linear elastic point-like SDOF systems with variable fundamental frequency and damping ratio, both accounting and neglecting the effects of the transient dynamics. In this framework a closed-form solution of the Evolutionary Frequency Response Function (EFRF) is derived. The mean value of the maximum response is estimated based on an Equivalent Parameter Technique (EPT) from literature, generalizing the Davenport’s gust factor technique. The effects of the Poisson hypothesis are investigated and mitigated introducing an equivalent expected frequency. The results are validated with the ones obtained in the time domain starting from the real thunderstorm records available. Successively, a sensitivity analysis is carried out to assess the influence on the maximum dynamic response of the parameters that shape the modulating function of the velocity. A closed-form solution for the equivalent parameters and the gust factor is introduced. The comparison with alternative formulations proposed in the literature demonstrates the improved accuracy of the proposed one. Finally, the formulation is extended to the analysis of slender vertical structures, adopting a vertical profile for the mean wind velocity from the literature and the equivalent wind spectrum technique. Two case studies of vertical slender structures are analysed and a comparison with synoptic wind loading conditions is outlined, showing that the proposed model constitutes a valid and handy tool for the evaluation of the wind loading on structures provided by thunderstorm outflows.
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Wang, Jing. "Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis." Bowling Green State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851.

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Cool, Deborah E. "Characterization of the human factor XII (Hageman factor) CDNA and the gene." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26980.

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A human liver cDNA library was screened by colony hybridization with two mixtures of synthetic oligodeoxyribonucleotides as probes. These oligonucleotides encoded regions of β-factor Xlla as predicted from the amino acid sequence. Four positive clones were isolated that contained DNA coding for most of factor XII mRNA. A second human liver cDNA library was screened by colony hybridization with ³²P-labeled cDNA clones obtained from the first screen and two identical clones were isolated. DNA sequence analysis of these overlapping clones showed that they contained DNA coding for the signal peptide sequence, the complete amino acid sequence of plasma factor XII, a TGA stop codon, a 3' untranslated region of 150 nucleotides, and a poly A⁺ tail. The cDNA sequence predicts that plasma factor XII consists of 596 amino acid residues. Within the predicted amino acid sequence of factor XII, were identified three peptide bonds that are cleaved by kallikrein during the formation of β-factor Xlla. Comparison of the structure of factor XII with other proteins revealed extensive sequence identity with regions of tissue-type plasminogen activator (the epidermal growth factor-like region and the kringle region) and fibronectin (type I and type II homologies). As the type II region of fibronectin contains a collagen-binding site, the homologous region in factor XII may be responsible for the binding of factor XII to collagen. The carboxyl-terminal region of factor XII shares considerable amino acid sequence homology with other serine proteases including trypsin and many clotting factors. A human genomic phage library was screened by using a human factor XII cDNA as ahybridization probe. Two overlapping phage clones were isolated which contain the entire human factor XII gene. DNA sequence and restriction enzyme analysis of the clones indicate that the gene is approximately 12 kbp in size and is comprised of 13 introns and 14 exons. Exons 3 through 14 are contained in a genomic region of only 4.2 kbp with introns ranging in size from 80 to 554 bp. The multiple regions found in the coding sequence of FXII that are homologous to putative domains in fibronectin and tissue-type plasminogen activator are contained on separate exons in the factor XII gene. The intron/exon gene organization is similar to the serine protease gene family of plasminogen activators and not to the clotting factor family. Analysis of the 5' flanking region of the gene shows that it does not contain the typical TATA and CAAT sequences found in other genes. This is consistent with the finding that transcription of the gene is initiated at multiple start sites.
Medicine, Faculty of
Biochemistry and Molecular Biology, Department of
Graduate
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POMA, GIULIA. "Evaluation of bioaccumulation processes of brominated flame retardants in biotic matrices." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50902.

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The global reduction in the use of PBDEs and HBCD as flame retardants has opened the way for the introduction of “Novel” BFRs (NBFRs) in place of the banned formulations, indicating those BFRs that are new in the market or newly/recently observed in the environment in respect to PBDEs and HBCD. Consequently, consumption and production of these NBFRs will keep rising, and increasing environmental levels of these chemicals are expected in the near future. Important representatives of this group are decabromodiphenyl ethane (DBDPE), 1,2-bis(2,4,6-tribromophenoxy) ethane (BTBPE), hexabromobenzene (HBB), and pentabromoethylbenzene (PBEB). In Italy, previous studies have shown that some BFRs (PBDEs) were measured at high concentrations in the Varese province due to the presence of a great number of textile and plastic industries, and particularly in the sediments of Lake Maggiore, where those facilities wastewaters are finally collected mainly through two lake tributaries (Bardello and Boesio). For these reasons, the present thesis has the aim to evaluate the presence, and the potential bioaccumulation and biomagnification processes of six different classes of BFRs (PBDEs, HBCD, DBDPE, BTBPE, HBB and PBEB) in the Lake Maggiore ecosystem, with particular regard to zebra mussels (Dreissena polymorpha), zooplankton, one littoral fish species (common roach - Rutilus rutilus), and two different pelagic species (twaite shad – Alosa agone and European whitefish – Coregonus lavaretus). Finally, the study has also considered the BFR contamination in the lake sediments with the aim of characterizing in detail the possible presence of temporal trends and/or identifying potential sources of contamination. Moreover, it is plausible that the BFR uptake by benthic organisms, followed by fish predation, might be a significant source of bioaccumulation.
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Karimi, Mahdad. "Functional analysis of the -308G/A polymorphism in the tumour necrosis factor promoter." University of Western Australia. School of Biomedical, Biomolecular and Chemical Sciences, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0140.

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[Truncated abstract] Tumor Necrosis Factor (TNF) is a potent pro-inflammatory cytokine involved in a range of biological functions including the differentiation, proliferation and survival of many cell types. The TNF gene lies in the class III region of the major histocompatibility complex (MHC), approximately 250 Kbp centromeric of the HLA-B locus and 850 Kbp telomeric of HLA-DR. Due to the genomic location and biological relevance of TNF, it is thought that genetic heterogeneity at this locus may be associated with autoimmune and infectious diseases. A G-to-A single nucleotide polymorphism (SNP) at position -308 (relative to the transcriptional start site) in the TNF promoter has been well described. The less common -308A variant has been shown to be linked with the HLA-A1, B8, DR3 haplotype which in turn has been associated to a high TNF producing phenotype. Determining whether the -308 polymorphism contributes to elevated levels of expression has therefore been a priority for many research groups. Some investigators have shown differences in transcription between the -308G and -308A alleles while others could not. These contradicting results have led to conflicting views regarding the functional relevance of the -308 SNP. In this study, statistical analysis of 18 independent transient transfections of -308 biallelic TNF reporter constructs have provided evidence for a functional consequence of the polymorphism. ... In addition, chromatin accessibility of this region was maximal at greater levels of transcription suggesting a role for both chromatin structure and YY1 binding in -308G regulation. Surprisingly, chromatin structure did not seem to play a role in -308A regulation nor was there any significant binding of YY1, suggesting the -308 region does not affect transcriptional control of TNF. Taken as a whole, the G-to-A SNP relieves YY1 binding and demonstrates an allele-specific regulatory mechanism controlling expression. A growing list of promoter polymorphisms exists in the human genome having associations with certain diseases. Determining the functional consequence of these SNPs has proven difficult and utilized mainly in vitro approaches. In this thesis, a unique approach to investigating the functionality of promoter polymoprhisms has been developed, utilizing in vivo techniques which test their effects in a more natural system. It is hoped that the identification of the allele-specific YY1-mediated control of the -308 region of the TNF promoter may provide insight into overexpression as a consequence of the polymorphism and its role in the genetic susceptibility to MHC-associated autoimmune disease.
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Books on the topic "Factor Analysi"

1

Foundations of factor analysis. 2nd ed. Boca Raton: CRC Press, 2010.

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Bánkövi, Gy. Dynamic factor analysis. Budapest: Karl Marx University of Economics, Dept. of Mathematics and Computer Sciences, 1986.

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Theodore, Wegener Duane, ed. Exploratory factor analysis. Oxford: Oxford University Press, 2012.

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Confirmatory factor analysis. New York, N.Y: Oxford University Press, 2009.

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Factor analysis and related methods. Hillsdale, N.J: Lawrence Erlbaum Associates, 1985.

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Bartholomew, David J. Latent variable models and factor analysis. 2nd ed. London: Arnold, 1999.

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Bartholomew, David J. Latent variable models and factor analysis. London: C. Griffin, 1987.

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Malinowski, Edmund R. Factor analysis in chemistry. 2nd ed. New York: Wiley, 1991.

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Malinowski, Edmund R. Factor analysis in chemistry. Malabar, Fla: R.E. Krieger Pub. Co., 1989.

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Factor analysis in chemistry. 3rd ed. New York: Wiley, 2002.

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Book chapters on the topic "Factor Analysi"

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Factor Analysis." In Multivariate Analysis, 381–450. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32589-3_7.

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Lovik, Anikó, Vahid Nassiri, Geert Verbeke, and Geert Molenberghs. "Combining Factors from Different Factor Analyses Based on Factor Congruence." In Springer Proceedings in Mathematics & Statistics, 211–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77249-3_18.

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Sarstedt, Marko, and Erik Mooi. "Factor Analysis." In Springer Texts in Business and Economics, 235–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53965-7_8.

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Cleff, Thomas. "Factor Analysis." In Applied Statistics and Multivariate Data Analysis for Business and Economics, 433–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17767-6_13.

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Härdle, Wolfgang Karl, and Zdeněk Hlávka. "Factor Analysis." In Multivariate Statistics, 205–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36005-3_12.

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Acton, Ciaran, Robert Miller, John Maltby, and Deirdre Fullerton. "Factor Analysis." In SPSS for Social Scientists, 241–55. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-01390-3_11.

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Miller, Robert L., Ciaran Acton, Deirdre A. Fullerton, John Maltby, and Jo Campling. "Factor Analysis." In SPSS for Social Scientists, 174–85. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62968-4_10.

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Franzen, Michael D. "Factor Analysis." In Encyclopedia of Clinical Neuropsychology, 1013. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1195.

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Härdle, Wolfgang, and Léopold Simar. "Factor Analysis." In Applied Multivariate Statistical Analysis, 275–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05802-2_10.

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Franzen, Michael. "Factor Analysis." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1195-2.

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Conference papers on the topic "Factor Analysi"

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Melgaard, D. K., A. J. Scholand, and K. W. Larson. "Scene kinetics mitigation using factor analysis with derivative factors." In SPIE Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2010. http://dx.doi.org/10.1117/12.863950.

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Marjaie, Seyed Ali, and Vasundhara Kulkarni. "Recognition of Hidden Factors in Requirements Prioritization Using Factor Analysis." In 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). IEEE, 2010. http://dx.doi.org/10.1109/cise.2010.5676794.

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Yuan, Xiang. "Based on factor analysis of influencing factors of port throughput." In 2011 International Conference on Photonics, 3D-imaging, and Visualization. SPIE, 2011. http://dx.doi.org/10.1117/12.906094.

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Xiong, Zhangyuan, Hongzhi Yu, Lulu Liu, and Fucheng Wan. "Analysis of Product Competitive Factors in Agricultural B2C Platform Based on Factor Analysis." In 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icmia-16.2016.89.

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Zhou, Xiaofen, Rongyan Zhu, Yong Wang, and Gongzhuo Xu. "Analysis of Factors Influencing Consumer Behavior of Mobile Commerce based on Factor Analysis." In Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ismss-19.2019.13.

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Wu, Xilan. "Main Factor Analysis of Influencing Factors of College Students' Success Rate." In 2017 International Conference on Robots & Intelligent Systems (ICRIS). IEEE, 2017. http://dx.doi.org/10.1109/icris.2017.56.

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Xu, Chengjie, Yuanyuan Zhang, and Bochao Xu. "Research of Construction Safety Factors Based on the Factor Analysis Method." In International Conference on Construction and Real Estate Management 2016. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480274.166.

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Cali`, M., G. Orsello, M. Santarelli, and P. Leone. "Experimental Activity on the Tubular SOFC CHP100 kWe Field Unit in Italy: Factor Significance, Effects and Regression Model Analysis." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95802.

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The CHP 100 kWe tubular SOFC plant built by Siemens is operating at the Gas Turbine Technologies (GTT) in Turin. The generator started up on the June 2005 and produces electric and thermal power used in the factory. A first period of the activity was needed to lead the operation of the SOFC plant at the nominal condition and to reach the complete conditioning of the SOFC tubular fuel cells. Then, in order to characterize the operation of the generator and of the cogenerative system a first experimental campaign was designed by using the factorial analysis. With these methods, the effect of some independent variables (factors) on the plant operation is analyzed in form of screening tests: the analysis allows one to estimate the significance of the main and combined effects of each considered factor through an analysis of variance (ANOVA) on the experimental data. Moreover, the test plan has been designed by using a simple 2k factorial and a 2k factorial with spherical central composite design (CCD); these approaches allow to obtain respectively first-order and second-order regression models for some chosen dependent variables (i.e. DC and AC electric power, generator voltage, recovered heat etc...). The test plan has been performed at the fixed generator current of 500 Amps with two repetitions for each designed treatment. The factorial analysis has been applied considering two factors (22 factorial analysis): setup temperature of the generator and fuel utilization factor. First, the significance of the main and combined effects of the two considered factor has been evaluated. Then, the obtained data have been analyzed by using the Response Surface Methodology analysis (RSM). Finally, the regression models have been obtained for every dependent variable analyzed, with an outline of the sensitivity coefficient linking the dependent and the independent variables.
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Luo, Lu-xi, Ling-ying Tu, Xin-yu Cao, and Fang-fang Zhao. "Analysis of influencing factors on housing price in Chengdu based on factor-analysis method." In 2014 International Conference on Management Science and Engineering (ICMSE). IEEE, 2014. http://dx.doi.org/10.1109/icmse.2014.6930465.

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Wang, Yaowu, Chongyang Wang, Nan Zhang, Yu Qin, and Zeng Li. "Analysis on Impact Factors of Real Estate Price Based on the Factor Analysis Method." In ICCREM 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479377.089.

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Reports on the topic "Factor Analysi"

1

Piatek, Rémi, Gabriella Conti, James Heckman, and Sylvia Frühwirth-Schnatter. Bayesian exploratory factor analysis. Cemmap, July 2014. http://dx.doi.org/10.1920/wp.cem.2014.3014.

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Electrotek Concepts. Industrial Power Factor Analysis Guidebook. Office of Scientific and Technical Information (OSTI), March 1995. http://dx.doi.org/10.2172/654078.

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Gibbons, Robert D., Donald R. Hedeker, and R. D. Bock. Full-Information Item Bi-Factor Analysis. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada229346.

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Guo, Xingzhou, Chi Tian, Jinwu Xiao, Yunfeng Chen, and Jiansong Zhang. Life Cycle Integration of Building Information Modeling in Infrastructure Projects. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317356.

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Building Information Modeling (BIM) can provide solutions to many challenges of asset management, such as missing data, incompatible software, and an unclear business process. However, current implementation of BIM in infrastructure projects has only considers limited factors, such as technology application and digital information delivery, while issues of system compatibility and information needs are still missing. Different aspects of a business are interdependent and an incompatible development of various factors might result in different levels of BIM implementation or even project failure. Comprehensive research is needed to explore the key factors and challenges of BIM implementation in infrastructure projects. This study conducted interviews and surveys with key stakeholders of infrastructure projects to explore the challenges and potential solutions of BIM implementation. Interviews were conducted with 37 professionals and surveys were conducted with 102 professional stakeholders, including owners, designers, contractors, and software vendors. Four main factors, challenges, and potential solutions were identified from content analysis of the interviews and further validated by the surveys. These factors include process factor (when), technology factor (how), people factor (who), and information factor (what). Corresponding solutions are proposed to refine the current workflow and practices.
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M. Wasiolek. NOMINAL PERFORMANCE BIOSPHERE DOSE CONVERSION FACTOR ANALYSIS. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/883410.

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Wasiolek, M. A. Nominal Performance Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/836521.

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Wasiolek, Maryla. Nominal Performance Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/837095.

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M. Wasiolek. Disruptive Event Biosphere Doser Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/837096.

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M. Wasiolek. Nominal Performance Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/838324.

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M. Wasiolek. Disruptive Event Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/838325.

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