scholarly journals Constraints on nominalizations: Investigating the productivity domain of Italian -mento and -zione

2020 ◽  
Vol 4 (2) ◽  
pp. 78-99
Author(s):  
Rossella Varvara
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
The Other ◽  
Definition Of ◽  
Morphological Research ◽  
Selection Of

Abstract The paper investigates the different productivity domains (Rainer 2005) of two Italian event denoting suffixes, -mento and -zione. These suffixes share the same eventive semantics, they are both productive and thus can be seen as rivals in the formation of event nominalizations. The aim is to obtain a better understanding of the constraints that play a role in the selection of one affix over the other. By means of a logistic regression model the contribution of different features of the base verb is investigated. The analysis is conducted on a dataset of 678 nominalizations extracted from a section of Midia, a diachronic balanced corpus explicitly built for morphological research (Gaeta 2017). Results show that the frequency, the inflectional class and the number of characters of the base verb as well as the presence of the prefix a- significantly contribute to the definition of the different domains, only partially confirming previous findings.

scholarly journals Influence of Septal Deviation on the Prognosis of Transcanalicular Diode Laser-Assisted Dacryocystorhinostomy

2016 ◽  
Vol 2016 ◽  
pp. 1-3 ◽  
Author(s):  
Alberto Raposo ◽  
Francisco Piqueras ◽  
Francisco García-Purriños ◽  
María Ll. Martínez-Martinez ◽  
Jerónimo Lajara
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Success Rate ◽  
Diode Laser ◽  
Logistic Regression Model ◽  
Septal Deviation ◽  
The Other ◽  
Success Rates ◽  
Anatomical Variants ◽  
Anatomic Variant

Purpose.The objective of the present study is to determine whether the success rate in transcanalicular diode laser-assisted dacryocystorhinostomy (TCL DCR) is influenced by the variant septal deviation (SD).Methods.Patients were divided into two groups: one including operated lacrimal pathways (LP) with no anatomical nasosinusal variants and the other group of LP with SD. This study began on January 1, 2008, and ended on December 31, 2010, at Morales Meseguer Hospital. Variables were compared by means of ANOVA and a logistic regression model (LOGIT).Results.Out of the 159 LP operated on, 102 had no nasosinusal anatomic variant, but 39 LP were associated with SD. The first group evidenced a success rate of 67.64%, while the second group evidenced a success rate of 66.7%.Conclusion.We found no significant statistical differences between the success rates in the two groups (with SD and no anatomical variants). So we could avoid previous or concomitant septoplasty in some cases (mild and moderate SD).

scholarly journals DESIGN OF MACHINE LEARNING MODEL FOR CHARACTER RECOGNITION

2021 ◽  
Vol 9 (2) ◽  
pp. 376-380
Author(s):  
Rituraj Jain, Et. al.
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Regression Model ◽  
Character Recognition ◽  
Logistic Regression Model ◽  
Learning Model ◽  
Major Step ◽  
Feature Sets ◽  
Machine Learning Model ◽  
Selection Of

Hand written character recognition or text recognition is the ability of the system to identify character or text automatically. Documents can be in any form such as documents, photographs, touch-screens or other devices. Each character will have its own feature sets. The classification or identification of characters are done based on proper selection of feature sets. Feature selection is the major step for any classification process. The machine learning model is created based on feature sets. Logistic regression model is used in this model to identify different characters. 97.33% accuracy is achieved using logistic regression model compared to existing work.                       

scholarly journals The Application of a Logistic Regression Model for Predicting Preferences of Transport System Users

2018 ◽  
Vol 64 (4) ◽  
pp. 145-159
Author(s):  
A. Brzeziński ◽  
K. Brzeziński ◽  
T. Dybicz ◽  
Ł. Szymański
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Transport System ◽  
Urban Areas ◽  
Logistic Regression Model ◽  
Probabilistic Approach ◽  
The Impact ◽  
Selection Of ◽  
Made In

AbstractWithin the INMOP 3 research project, an attempt was made to solve a number of problems associated with the methodology of modelling travel in urban areas and the application of intermodal models. One of these is the ability to describe the behaviour of transport system users, when it comes to making decisions regarding the selection of means of transport and searching for relationships between travel describing factors and the decisions made in regard of means of transport choice.The paper describes a probabilistic approach to the determination of modal split, and the application of a logistic regression model to determine the impact of variables describing individual and mass transport travels on the probability of selecting specific means of transport. Travels in local model of Warsaw city divided into 9 motivation groups were tested, for which ultimately 8 models were developed, out of which 7 were deemed very well fitted (obtained pseudo R2 was well above 0.2).

scholarly journals A logistic-regression model provides novel guidelines to maximize the anti-acute rejection properties of cyclosporine with a minimum of toxicity.

1996 ◽  
Vol 7 (5) ◽  
pp. 786-791 ◽  
Author(s):  
A Perna ◽  
E Gotti ◽  
E de Bernardis ◽  
N Perico ◽  
G Remuzzi
Keyword(s):  
Logistic Regression ◽  
Acute Rejection ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Parent Compound ◽  
Renal Transplant Recipients ◽  
Response Curves ◽  
Definition Of ◽  
Serum Aminotransferases ◽  
Trough Levels

Although cyclosporine has become the mainstay of immunosuppression in organ transplantation, there is still no consensus on the criteria to optimize its anti-rejection activity with minimum toxicity. A clear and objective definition of target cyclosporine trough levels at different times from renal transplantation is still lacking, primarily because of the lack of a model correlating cyclosporine levels with probability of rejection or toxicity. In this study, logistic-regression model was developed that was applied to data collected retrospectively from two postoperative periods, i.e., Days 0 to 9 and 10 to 30, in 135 consecutive cadaveric renal transplant recipients, for a total of 1851 determinations. Only minimum and maximum trough levels were considered for each period. Concentration-response curves were estimated for Days 0 to 9 (P = 0.0001 for efficacy and P = 0.028 for toxicity) and for Days 10 to 30 (P = 0.015 for efficacy and P = 0.037 for toxicity). Therapeutic intervals of 330 to 430 ng/mL (parent compound in whole blood) for Days 0 to 9 and 260 to 390 ng/mL for Days 10 to 30 predicted an incidence of acute rejection of 22% and 12%, respectively, with a reasonably low toxicity that primarily consisted of elevation of serum aminotransferases.

Helicobacter Pylori interacts with Serum Vitamin D to influence Hypertension

2020 ◽  
Vol 13 ◽  
Author(s):  
Elie Salem-Sokhn ◽  
Ali Salami ◽  
Mirna Fawaz ◽  
Ali H Eid ◽  
Said El Shamieh
Keyword(s):  
Vitamin D ◽  
Helicobacter Pylori ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Serum Vitamin ◽  
The Other ◽  
Serum Vitamin D ◽  
Other Hand ◽  
H Pylori

Background and objective: Hypertension is a multifactorial disease where numerous constitutive, genetic and environmental factors interplay. Among the constitutive factors, age is a major determent continuously reported to be associated with a significant increase in the prevalence of hypertension. In addition to age, Helicobacter pylori (H. pylori) infection was also shown to be associated. On the other hand, Vitamin D (Vit D) plays an important role against the development of hypertension. In the current study, we investigated whether H. pylori interacts with Vit D levels to influence hypertension. Methods: This cross-sectional study was conducted on seven hundred eighty-two “a priori” healthy individuals equally divided according to hypertension status. To study the association between Vit D, H. pylori and hypertension, a multivariate logistic regression model was used while correcting for different confounding factors. Power analysis was also performed. Results: Approximately half of the participants were hypertensive and had Vit D insufficiency, they were also matched for age. Using a multiple logistic regression model, our results showed an inversely proportionate association between H. pylori infection and the risk of hypertension (OR=0.37, P<0.001). On the other hand, a proportionate association between Vit D deficiency and hypertension was observed (OR=2.76, P=0.004). Furthermore, Vit D and H. pylori status interacted to affect the risk of hypertension (OR=0.973, P=0.004). Stratification according to Vit D status showed that 59.1% of Vit D deficient participants were infected with H. pylori organisms (P<0.001). When taking hypertension, Vit D, and H. pylori statuses into account, we found that the prevalence of hypertension was doubled when the participants were negative for H. pylori infection but had Vit D deficiency (P<0.001). Conclusion: H. pylori infection and Vit D deficiency could predict hypertension. The odds of hypertension development were double when the participants were negative for H. pylori infection and had vitamin D deficiency.

Investigating the Role of Opening Partners While Chasing on the Outcome of Twenty20 Cricket Matches

2020 ◽  
Vol 45 (2) ◽  
pp. 222-232
Author(s):  
Priyanka Talukdar
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
The Other ◽  
Explanatory Variables ◽  
Pressure Index ◽  
Other Hand

In cricket, irrespective of the format of the game, batting always happens in pairs. The two batsmen who bat together are called as batting partners. The pair of batsmen who come to bat at the beginning of any innings are called opening batsmen or opening partners. In Twenty20 cricket, the opening partners must start their innings with a definite strategy. In one hand, they have the advantage of only two fielders outside the 30-yard circle for the first six overs (technically called as the powerplay overs), and so both openers are expected to play high scoring shots and attempt to score runs quickly. On the other hand, the odds against them are the ball is new, so is the pitch and the bowlers are fresh and energetic. When any one of the opening batsmen loses his wicket, the partnership comes to an end. This study tries to figure out the influence of the opening partnership of the second innings on the outcome of Twenty20 matches. Pressure Index (developed by earlier researchers), effects of venue or ground and target score are used as explanatory variables in the logistic regression model to check if the performance of opening partnership influences the outcome of Twenty20 matches along with other variables. The data used for the exercise is from Twenty20 international cricket matches played within the period January 2012 to June 2018. The study finds that opening partnership while chasing is a significant factor in deciding the match outcome during the run chase for the said dataset. Also, the best opening batting partners have been identified.

Bypassing the Patronage Trap: Evidence from Delhi Assembly Election 2020

2021 ◽  
pp. 232102302110430
Author(s):  
Ankita Barthwal ◽  
Asim Ali
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
The Other ◽  
Relative Advantage ◽  
Patronage Politics ◽  
The Social

Scholars have long theorized on the limits of patronage politics and the possibility of counter-mobilization it produces against clientelist strategies. Analysing the recent win of the Aam Aadmi Party in the 2020 Assembly election in Delhi, this article shows that programmatic policies of welfare can help parties to circumvent this trap and avoid targeted patronage networks. We find that this broad-based appeal increases the social base of the party to even include those segments of voters who remain aloof to patronage-based exchanges. Additionally, we test the salience of majoritarian issues in the presence of universal welfare. We find that by locating themselves on issue positions of relative advantage, and reducing the ideological distance with their chief competitor, a policy-focussed party may capture not just ideology-agnostic, but also peripheral voters who might be opposed to the other challenger. Using a logistic regression model, we find that policy concerns catapulted AAP to victory, while its ideological distance from the BJP added to this. Our analysis has significance for understanding the underlying changes to patronage-based linkages, especially in the presence of heightened ethnic appeals that increasingly characterizes electoral contexts in the country.

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