scholarly journals Negation as a predictor of clausal complement choice in World Englishes

2021 ◽  
pp. 1-23
Author(s):  
RAQUEL P. ROMASANTA
Keyword(s):  
World Englishes ◽  
Negative Particle ◽  
Data Set ◽  
Different Types ◽  
Complement Clause ◽  
Complement Clauses ◽  
Negative Marker

Research on complementizer selection has shown that the presence of a negative particle in a subordinate complement clause influences complement choice, leading to a relatively higher proportion of finite complementation patterns by increasing the complexity of the syntactic environment. Studies have also shown that different types of negation, namely not- and no-negation, increase the tendency towards more explicit complementation options (Rohdenburg 2015). The current study focuses on the effect of not- and no-negation on the complementation profile of the verb regret, which allows variation between finite that/zero-complement clauses and nonfinite (S) -ing clauses. The GloWbE corpus was used to create a data set of more than 4,000 examples from 16 varieties of English. The results of the analysis support previous findings that the presence of a negative marker in the complement clause increases the preference for finite patterns, especially in L2 varieties of English. However, contrary to the expectations of this study, no-negation was found to have a stronger effect on complement choice than not-negation.

scholarly journals Coreference relations in complex sentence with a complement clause

2015 ◽  
Vol 71 (3-4) ◽  
pp. 187-202
Author(s):  
Jasmina Moskovljevic-Popovic
Keyword(s):  
Shared Control ◽  
Complex Sentence ◽  
Matrix Clause ◽  
Different Types ◽  
Complement Clause ◽  
The Matrix ◽  
Complement Clauses ◽  
The Relationship

The main purpose of this paper is to analyze different co reference relations which can be established in a complex sentence between one of the arguments of the matrix clause and the understood/implicit subject of the complement clause introduced by the complementizer ?da?. Various patterns of control relations which are present in contemporary Serbian - obligatory, non-obligatory, and shared control - have been enumerated and exemplified. Different types of constructions and different classes of verbs which introduce (or may introduce) control relations have been identified and patterns of control instantiated by them have been described. It has been argued that the analysis of the Serbian data indicates that a type of the matrix predicate is not the only factor which determines the control relations established in a complex sentence, but that a type of situation/event described in the complement clause, as well as the relationship between the events denoted by the matrix and the complement clauses have their influence too.

scholarly journals Complementation

Linguistics ◽  
2019 ◽  
Author(s):  
Michel Achard
Keyword(s):  
Argument Position ◽  
Semantic Classes ◽  
Spoken Text ◽  
Different Types ◽  
Complement Clause ◽  
Complement Clauses ◽  
Realistic Representation ◽  
Good For ◽  
Waking Up ◽  
And Control

In its more general sense, a complement is an argument of a predicate, and generally opposed to an adjunct, a non-argument position. In this bibliography, however, complementation more narrowly refers to complement clauses, namely clausal arguments of predicates. For example, in I believe that she came back, the complement clause she came back functions as the object of the predicate believe. The study of complementation involves the detailed investigation of the different types of clauses that follow specific semantic classes of predicates. Obviously, complement forms vary greatly across languages; in English, they includes bare infinitives (I saw John eat a cookie, Mary made John eat a cookie), gerunds (I hate waking up early), as well as instances where the complement clause is introduced by the complementizers that, wh, POSS-ING, to, and for to, respectively illustrated in I think that coffee is good for you, I wonder whether coffee is good for you, I am worried about John’s being angry all the time, The president ordered the clerk to resign, and I would like for the board to recognize your promotion. The literature on complementation reflects the theoretical eclecticism of the field. Syntactic research primarily focuses on the mechanisms by which complement clauses acquire their surface forms. More semantically oriented analyses concentrate on the possible pairing of the various complement forms with specific semantic classes of predicates, as well as on the semantic import of the different components of complement constructions (predicates, complementizers, the complement forms themselves). The main focus of usage-based accounts is to provide a realistic representation of the frequency and distribution of the various constructions in written and spoken text. This overview of the complementation literature is organized in a way that captures this eclectic research and separates the different orientations in different sections. In particular, the syntactic and semantic solutions to the issues of raising and control are presented separately.

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

scholarly journals Field-based investigation of aged biochar coupled with summer legumes effect on wheat yield in Pakistan

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Hafeez Ur Rahim ◽  
Sajjad Ahmad ◽  
Zaid Khan ◽  
Muhammad Ayoub Khan
Keyword(s):  
Maximum Yield ◽  
Wheat Yield ◽  
Wheat Crop ◽  
Human Consumption ◽  
Thousand Grain Weight ◽  
Data Set ◽  
Different Types ◽  
Biological Yield ◽  
Soil Fertility Improvement

There is a debate about whether the aged biochar effect can increase the crop yield or not. Herein, a field-based experimental data set and analysis provide the information on the aged biochar effect coupled with summer legumes on the yield of subsequent wheat. Briefly, in summer 2016, three different types of legumes i.e. mungbean, sesbania, and cowpea were grown with the intention of grain for human consumption, green manuring for soil fertility improvement, and fodder for livestock consumption. A fallow was also adjusted in the experiment with the purpose of comparison. Biochar was added to each experimental plot in triplicates at the rate of 0, 5, and 10 tons ha-1. After the harvesting of legumes, the biomass of each sesbania treatment plot was mixed in the field while the biomass of mungbean and cowpea were removed from each respective plot. To investigate the aged biochar effect, the wheat crop was grown on the same field layout and design (randomized complete block) of legumes. The data analysis highlighted that significantly maximum grain yield (kg ha-1), biological yield (kg ha-1); thousand-grain weight (g), and straw yield (kg ha-1) were obtained in the plots mixed with sesbania. Regarding the aged biochar effect, maximum yield was obtained in the plots with 10 tons ha-1treatment dose. Additionally, the interaction of aged biochar coupled with legumes was non-significant. In conclusion, this work could prove that aged biochar coupled with summer legumes enhanced the yield of subsequent wheat on a sustainable basis due to its long-term numerous benefits to the soil-plant system.

scholarly journals Finiteness in South Slavic Complement Clauses

Linguistica ◽  
2020 ◽  
Vol 60 (1) ◽  
pp. 119-137
Author(s):  
Susanne Wurmbrand ◽  
Iva Kovač ◽  
Magdalena Lohninger ◽  
Caroline Pajančič ◽  
Neda Todorović
Keyword(s):  
Linguistic Variation ◽  
The South ◽  
Slavic Languages ◽  
Different Types ◽  
Complement Clauses

This paper shows that the distribution of (non‑)finiteness in the South Slavic languages reflects an implicational scale along an independently attested semantic complementation hierarchy (e.g., Givón 1980). We suggest that in the South Slavic languages, finiteness is triggered by clausal agreement features associated with different syntactic heads. Building on a complexity approach to the complementation hierarchy, we propose that cross-linguistic variation in finiteness and variation across different types of complements are the result of language-specific differences in the distribution of agreement features. More broadly, we conclude that there is no (universal) semantic correlate of (non‑)finiteness and, contra cartographic approaches, that finiteness is not confined to a particular domain in the clause. Following Adger (2007), we argue that finiteness can be distributed over all clausal domains.

Too tied to fail: a multidimensional approach to social capital in crowdfunding campaigns. Evidences from Italian agri-food businesses

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ulpiana Kocollari ◽  
Alessia Pedrazzoli ◽  
Maddalena Cavicchioli ◽  
Andrea Girardi
Keyword(s):  
Social Capital ◽  
Design Methodology ◽  
Multidimensional Approach ◽  
Data Set ◽  
Content Type ◽  
Different Types ◽  
Linear Regressions ◽  
Practical Implications

PurposeThe authors investigate the contributions of social capital (SC) dimensions (bridging, bonding and linking) in crowdfunding campaigns by comparing the dynamics of agri-food businesses with those of two other sectors – cultural and technological.Design/methodology/approachThe authors develop linear regressions on a proprietary data set of 5,290 projects launched on the Italian platform “Produzionidalbasso.com”, from 2014 to 2020.FindingsThe authors’ findings suggest that combining the three social capital dimensions (bridging, bonding and linking) has a more substantial overall effect on the number of backers involved in agri-food projects than in cultural and technological projects. Agri-food entrepreneurs effectively mobilize all resources embedded in the SC dimensions and therefore create the conditions to develop new ties that financially support the project.Practical implicationsAgri-food entrepreneurs may benefit from those results improving their funding strategies. Therefore, agri-food entrepreneurs can explore and exploit the instruments available on the CFD platform – video and rewards associated with the campaign – gaining more benefit from the backers involved compared with other project categories.Originality/valueThe study proposes a broader perspective regarding SC that encompasses the proponent, the company and the campaign with three different types of ties: bonding, bridging and linking. These SC dimensions can differently shape diverse sectors and this eclectic configuration can differentiate the effects of SC in crowdfunding campaigns. This study pinpoints how crowdfunding determinants change, based on project categories.

Correlation guided Network Integration (CoNI) reveals novel genetic regulators of hepatic metabolism

2020 ◽  
Author(s):  
Valentina S. Klaus ◽  
Sonja C. Schriever ◽  
Andreas Peter ◽  
José Manuel Monroy Kuhn ◽  
Martin Irmler ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Hepatic Metabolism ◽  
Omics Data ◽  
Network Integration ◽  
Data Set ◽  
Metabolomics Data ◽  
Different Types ◽  
Hepatic Fat ◽  
Liver Biopsies

ABSTRACTThe steadily increasing amount of newly generated omics data of various types from genomics to metabolomics is a chance and a challenge to systems biology. To fully use its potential, one key is the meaningful integration of different types of omics. We here present a fully unsupervised and versatile correlation-based method, termed Correlation guided Network Integration (CoNI), to integrate multi-omics data into a hypergraph structure that allows for identification of effective regulators. Our approach further unravels single transcripts mapped to specific densely connected metabolic sub-graphs or pathways. By applying our method on transcriptomics and metabolomics data from murine livers under standard chow or high-fat-diet, we isolated eleven genes with a regulatory effect on hepatic metabolism. Subsequent in vitro and ex vivo experiments in human liver cells and human obtained liver biopsies validated seven candidates including INHBE and COBLL1, to alter lipid metabolism and to correlate with diabetes related traits such as overweight, hepatic fat content and insulin resistance (HOMA-IR). Last, we successfully applied our methods to an independent data-set to confirm its versatile and transferable character.

scholarly journals Harmonic Analysis via an Integral Equation: An Application to Dengue Transmission

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
R. G. U. I. Meththananda ◽  
N. C. Ganegoda ◽  
S. S. N. Perera
Keyword(s):  
Integral Equation ◽  
Parameter Estimation ◽  
Harmonic Analysis ◽  
Basis Functions ◽  
Periodic Waves ◽  
Data Set ◽  
New Approach ◽  
Dengue Transmission ◽  
Different Types ◽  
The Laplace Transform

A collection of oscillatory basis functions generated via an integral equation is investigated here. This is a new approach in the harmonic analysis as we are able to interpret phenomena with damping and amplifying oscillations other than classical Fourier-like periodic waves. The proposed technique is tested with a data set of dengue incidence, where different types of influences prevail. An intermediate transform supported by the Laplace transform is available. It facilitates parameter estimation and strengthens the extraction of hidden influencing accumulations. This mechanistic work can be extended as a tool in signal processing that encounters oscillatory and accumulated effects.

Disaggregate Economic Base Multipliers in Small Communities

1997 ◽  
Vol 29 (6) ◽  
pp. 955-974 ◽  
Author(s):  
A C Vias ◽  
G F Mulligan
Keyword(s):  
Economic Base ◽  
Input Output ◽  
Data Set ◽  
Small Communities ◽  
Considerable Evidence ◽  
Transfer Payments ◽  
New Models ◽  
Base Analysis ◽  
Different Types ◽  
Community Data

Economic base analysis is frequently used to describe employment profiles and to predict project-related impacts in small communities. Considerable evidence suggests, however, that economic base multipliers should be estimated from survey data and not from shortcut methods. In this paper two competing versions of the economic base model are developed and then these two models are estimated by use of the Arizona community data set. In both cases, marginal multiplier estimates, controlled for transfer payments, are generated for ten individual sectors in five different types of communities. Results from these two disaggregate economic base models are assessed and then compared with results provided earlier by more aggregate models. The better of these two new models closely resembles the popular input—output model.

Delineation of Blood Vessels in Coronary Artery Region for Classification of Different Types of Plaques

2020 ◽  
Vol 10 (7) ◽  
pp. 901-914
Author(s):  
D. Indumathy ◽  
S. Sudha
Keyword(s):  
Cardiovascular Diseases ◽  
Blood Vessel ◽  
Heart Defects ◽  
Image Data ◽  
Data Set ◽  
Different Types ◽  
Cardiac Muscles ◽  
Pixel Analysis ◽  
Effective Medication

Cardiac arrest in human arises owing to blood vessel diseases or heart defects. Blood vessel diseases result due to the blockage of blood in the heart vessels, which leads to pain in the heart. Heart defects occur because of damage in the cardiac muscles indicated by abnormal heart rhythms. Cardiovascular diseases cause mortality which could be avoided through the earlier detection of cardiovascular diseases. The major cause for cardiovascular diseases is cholesterol deposition inside the artery walls which later forms plaques that block the blood flow. Until now, plaques have been detected through medical imaging only after the heart attack. The plaques are blasted through angioplasty or reduced with medicine. Classification of the plaques before treatment, leads to effective medication based on the type of plaque. The sub classification of the plaque types such as rupture-prone plaque, ruptured plaque with sub occlusive thrombus, erosion-prone plaque, calcified nodule and non-plaque has been segmented and identified. In this paper, we propose a novel Spatial Fuzzy Propensity Score Matching (SFPSM) method to classify the plaques. The SFPSM method consists of clustering, ranking the cluster and region-based pixel wise analysis. Pixel analysis inspects specific regions of sub pixel points and calibrates the plaque. From the experimental results, the classification of plaque based on the 50-image data set has exhibited accuracy of 85% after validation. The plaque accuracy of classification provides the standard digital number values for the sub classification of plaques.

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