scholarly journals A Novel Approach to the Syntax of Chinese Adjectival Predicates: Differences between Standard Mandarin and Sichuanese Mandarin

2021 ◽  
Vol 7 (3) ◽  
pp. 122-126
Author(s):  
Haoyue Fu ◽  
Keyword(s):  
Mandarin Chinese ◽  
Hybrid Approach ◽  
Present Theory ◽  
Novel Approach ◽  
Crosslinguistic Variation

In Mandarin Chinese, bare adjectives can only function as predicates when they co-occur with some other elements in certain contexts, most typically the degree adverb hen ‘very’. This phenomenon cannot be found in other languages like English. To explain this crosslinguistic variation, researchers have developed different theories, among them the most developed theory regards hen ‘very’ as an overt positive morpheme. Previous studies have all focused on just one Mandarin variety, namely Standard Mandarin (STM). However, the present theory cannot apply to other Mandarin varieties like Sichuanese Mandarin which, as this paper demonstrates, does not have an overt positive morpheme. This paper provides new data from Sichuanese Mandarin and proposes that register grammar should be taken into consideration. A novel, hybrid approach to explain this crossdialectal variation is given in this paper.

scholarly journals HPM: A Hybrid Model for User’s Behavior Prediction Based on N-Gram Parsing and Access Logs

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Sonia Setia ◽  
Verma Jyoti ◽  
Neelam Duhan
Keyword(s):  
Web Mining ◽  
Contextual Information ◽  
Hybrid Approach ◽  
Web Pages ◽  
Continuous Growth ◽  
Novel Approach ◽  
Content Mining ◽  
Long Access ◽  
N Gram ◽  
The Individual

The continuous growth of the World Wide Web has led to the problem of long access delays. To reduce this delay, prefetching techniques have been used to predict the users’ browsing behavior to fetch the web pages before the user explicitly demands that web page. To make near accurate predictions for users’ search behavior is a complex task faced by researchers for many years. For this, various web mining techniques have been used. However, it is observed that either of the methods has its own set of drawbacks. In this paper, a novel approach has been proposed to make a hybrid prediction model that integrates usage mining and content mining techniques to tackle the individual challenges of both these approaches. The proposed method uses N-gram parsing along with the click count of the queries to capture more contextual information as an effort to improve the prediction of web pages. Evaluation of the proposed hybrid approach has been done by using AOL search logs, which shows a 26% increase in precision of prediction and a 10% increase in hit ratio on average as compared to other mining techniques.

Axillary pullout syndrome: A novel approach to managing a devastating complication

Vascular ◽  
2021 ◽  
pp. 170853812110489
Author(s):  
Nathan W Kugler ◽  
Brian D Lewis ◽  
Michael Malinowski
Keyword(s):  
Stent Graft ◽  
Effective Means ◽  
Bypass Graft ◽  
Hybrid Approach ◽  
Inpatient Rehabilitation ◽  
Anastomotic Dehiscence ◽  
Open Approach ◽  
Novel Approach ◽  
Life Threatening ◽  
History Of

Objectives Axillary pullout syndrome is a complex, potentially fatal complication following axillary-femoral bypass graft creation. The re-operative nature, in addition to ongoing hemorrhage, makes for a complicated and potentially morbid repair. Methods We present the case of a 57-year-old man with history of a previous left axillary-femoral-femoral bypass who presented with acute limb-threatening ischemia as a result of bypass thrombosis managed with a right axillary-femoral bypass for limb salvage. His postoperative course was complicated by an axillary anastomotic dehiscence while recovering in inpatient rehabilitation resulting in acute, life-threatening hemorrhage. He was managed utilizing a novel hybrid approach in which a retrograde stent graft was initially placed across the anastomotic dehiscence for control of hemorrhage. He then underwent exploration, decompression, and interposition graft repair utilizing the newly placed stent graft to reinforce the redo axillary anastomosis. Results and Conclusion Compared with a traditional operative approach, the hybrid endovascular and open approach limited ongoing hemorrhage while providing a more stable platform for repair and graft revascularization. A hybrid approach to the management of axillary pullout syndrome provides a safe, effective means to the management of axillary anastomotic dehiscence while minimizing the morbidity of ongoing hemorrhage.

A novel approach to the creation of a labelling lexicon for improving emotion analysis in text

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alejandra Segura Navarrete ◽  
Claudia Martinez-Araneda ◽  
Christian Vidal-Castro ◽  
Clemente Rubio-Manzano
Keyword(s):  
Hybrid Approach ◽  
Software Tool ◽  
Gender Violence ◽  
Target Language ◽  
Automatic Process ◽  
Emotion Analysis ◽  
Content Type ◽  
Novel Approach ◽  
Emotion Lexicon ◽  
And Gender

Purpose This paper aims to describe the process used to create an emotion lexicon enriched with the emotional intensity of words and focuses on improving the emotion analysis process in texts. Design/methodology/approach The process includes setting, preparation and labelling stages. In the first stage, a lexicon is selected. It must include a translation to the target language and labelling according to Plutchik’s eight emotions. The second stage starts with the validation of the translations. Then, it is expanded with the synonyms of the emotion synsets of each word. In the labelling stage, the similarity of words is calculated and displayed using WordNet similarity. Findings The authors’ approach shows better performance to identification of the predominant emotion for the selected corpus. The most relevant is the improvement obtained in the results of the emotion analysis in a hybrid approach compared to the results obtained in a purist approach. Research limitations/implications The proposed lexicon can still be enriched by incorporating elements such as emojis, idioms and colloquial expressions. Practical implications This work is part of a research project that aids in solving problems in a digital society, such as detecting cyberbullying, abusive language and gender violence in texts or exercising parental control. Detection of depressive states in young people and children is added. Originality/value This semi-automatic process can be applied to any language to generate an emotion lexicon. This resource will be available in a software tool that implements a crowdsourcing strategy allowing the intensity to be re-labelled and new words to be automatically incorporated into the lexicon.

Cooperative Task Assignment and Trajectory Planning of Unmanned Systems Via HFLC and PSO

2019 ◽  
Vol 07 (02) ◽  
pp. 65-81 ◽  
Author(s):  
Ahmed T. Hafez ◽  
Mohamed A. Kamel
Keyword(s):  
Trajectory Planning ◽  
Optimization Problem ◽  
Fuzzy Logic Controller ◽  
Hybrid Approach ◽  
Task Assignment ◽  
Time Discretization ◽  
Planning Problem ◽  
Dynamic Constraints ◽  
Ground Station ◽  
Novel Approach

This paper investigates the problems of cooperative task assignment and trajectory planning for teams of cooperative unmanned aerial vehicles (UAVs). A novel approach of hierarchical fuzzy logic controller (HFLC) and particle swarm optimization (PSO) is proposed. Initially, teams of UAVs are moving in a pre-defined formation covering a specified area. When one or more targets are detected, the teams send a package of information to the ground station (GS) including the target’s degree of threat, degree of importance, and the separating distance between each team and each detected target. Based on the gathered information, the ground station assigns the teams to the targets. HFLC is implemented in the GS to solve the assignment problem ensuring that each team is assigned to a unique target. Next, each team plans its own path by formulating the path planning problem as an optimization problem. The objective in this case is to minimize the time to reach their destination considering the UAVs dynamic constraints and collision avoidance between teams. A hybrid approach of control parametrization and time discretization (CPTD) and PSO is proposed to solve this optimization problem. Finally, numerical simulations demonstrate the effectiveness of the proposed algorithm.

A product-technology portfolio alignment approach for food industry: a multi-criteria decision making with z-numbers

2020 ◽  
Vol 122 (12) ◽  
pp. 3947-3967 ◽  
Author(s):  
Nima Garousi Mokhtarzadeh ◽  
Hannan Amoozad Mahdiraji ◽  
Vahid Jafari-Sadeghi ◽  
Arash Soltani ◽  
AliAsghar Abbasi Kamardi
Keyword(s):  
Decision Making ◽  
Food Industry ◽  
Hybrid Approach ◽  
Multicriteria Decision Making ◽  
Product Portfolio ◽  
Content Type ◽  
Novel Approach ◽  
Production Technologies ◽  
Product Technology ◽  
Technology Matrix

PurposeTo design a novel hybrid approach to illustrate a reciprocal alignment to integrate future products and technologies. This mixed qualitative-quantitative method aims to optimize the final product portfolio and production technologies alignment in the food industry.Design/methodology/approachA list of products and technologies is extracted and evaluated by experts employing Market Attractiveness and Ease of Implementations Matrix (MA-EI) for products and attractiveness and technological Capability Matrix (A-C) for technologies. Weights of high-scored alternatives are attained applying the Z-number extension of Best Worst Method (ZBWM). After the product-technology matrix is formed and the alignment scores of each pair are determined by experts. Subsequently, final scores are computed, and a framework is proposed by electing high-ranked products and technology of each cluster to form the aligned product and technology portfolios of a food and hygiene industry company.FindingsBy employing an uncertain multicriteria decision-making approach besides product and technology matrices in a food industry corporation, among 40 technology and product, 13 products by 6 technologies are proposed. Thus, only six technology are necessary to manufacture the highly important and effective products.Originality/valueThe combination of product and technology analysis matrixes with an uncertain decision-making approach is considered as a novel approach in this research. Moreover, the distinctness between the present study and other researches is the concurrent unified aspect of product portfolio and technology optimization and its implementation in the planning discussion, especially in the food industry.

Test Suite Optimization Using Firefly and Genetic Algorithm

2022 ◽  
pp. 1635-1651
Author(s):  
Abhishek Pandey ◽  
Soumya Banerjee
Keyword(s):  
Genetic Algorithm ◽  
Software Engineering ◽  
Software Testing ◽  
Hybrid Approach ◽  
Empirical Evaluation ◽  
Data Generation ◽  
Testing Environment ◽  
Novel Approach ◽  
Test Suite Optimization

Software testing is essential for providing error-free software. It is a well-known fact that software testing is responsible for at least 50% of the total development cost. Therefore, it is necessary to automate and optimize the testing processes. Search-based software engineering is a discipline mainly focussed on automation and optimization of various software engineering processes including software testing. In this article, a novel approach of hybrid firefly and a genetic algorithm is applied for test data generation and selection in regression testing environment. A case study is used along with an empirical evaluation for the proposed approach. Results show that the hybrid approach performs well on various parameters that have been selected in the experiments.

A HYBRID APPROACH TO KNOWLEDGE ACQUISITION USING NEURAL PETRI NETS AND DS THEORY

2001 ◽  
Vol 01 (02) ◽  
pp. 203-223 ◽  
Author(s):  
JAYA SIL ◽  
AMIT KONAR
Keyword(s):  
Knowledge Acquisition ◽  
Petri Nets ◽  
Hybrid Approach ◽  
Back Propagation ◽  
Back Propagation Algorithm ◽  
Dempster Shafer Theory ◽  
Noisy Input ◽  
Novel Approach ◽  
Shafer Theory ◽  
Multiple Experts

Knowledge acquisition from multiple experts and its refinement are important issues in knowledge management of an expert system. The paper presents a novel approach to handling the above problems by combining the synergistic behavior of neural Petri nets and the Dempster–Shafer theory. The Dempster–Shafer theory has been employed here to reduce the scope of uncertainty in the supplied noisy input instances and the inferences generated therefrom by the multiple experts. The noise-free training instances thus obtained are subsequently used to train the neural Petri net model for refining the parameters of its knowledge base. A comparison of the performance of the proposed training algorithm with the classical back-propagation algorithm has also been presented in the paper.

scholarly journals Case report: a novel approach for the emergency repair of acute aortic rupture associated with congenital aortic Coarctation

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Xin Pu ◽  
Maozhou Wang ◽  
Xiaoyong Huang ◽  
Hongjia Zhang ◽  
Lianjun Huang
Keyword(s):  
Case Report ◽  
Aortic Coarctation ◽  
Aortic Rupture ◽  
Hybrid Approach ◽  
Hybrid Strategy ◽  
Case Presentation ◽  
Aortic Pseudoaneurysm ◽  
Ruptured Aneurysms ◽  
Novel Approach ◽  
Life Saving

Abstract Background Congenital aortic coarctation (CoA) associated with aortic rupture is a rare but extremely lethal condition. In pregnant patients, the condition becomes very risky. Case presentation We presented a case of a pregnant (20 weeks gestation) patient with CoA associated with ruptured aortic pseudoaneurysm who was successfully rescued using a novel hybrid strategy. Conclusions This hybrid approach may be a life-saving bridging intervention in patients with CoA associated with devastating complications, such as ruptured aneurysms, especially with extremely narrowed access.

scholarly journals An Adaptive and Hybrid Approach for Revisiting the Visibility Pipeline

2016 ◽  
Author(s):  
Ícaro Lins Leitão Da Cunha ◽  
Luiz Marcos Garcia Gonçalves
Keyword(s):  
3D Visualization ◽  
Hybrid Approach ◽  
Substantial Improvement ◽  
Interactive Applications ◽  
Processing Power ◽  
Novel Approach ◽  
Hybrid Solution ◽  
Back Face ◽  
On Line ◽  
Traditional Approaches

We revisit the visibility problem, which is traditionally known in Computer Graphics and Vision fields as the process of computing a (potentially) visible set of primitives in the computational model of a scene. We propose a hybrid solution that uses a dry structure (in the sense of data reduction), a triangulation of the type Ja 1 , to accelerate the task of searching for visible primitives. We came up with a solution that is useful for real-time, on-line, interactive applications as 3D visualization. In such applications the main goal is to load the minimum amount of primitives from the scene during the rendering stage, as possible. For this purpose, our algorithm executes the culling by using a hybrid paradigm based on viewing-frustum, back-face culling and occlusion models. Results have shown substantial improvement over these traditional approaches if applied separately. This novel approach can be used in devices with no dedicated processors or with low processing power, as cell phones or embedded displays, or to visualize data through the Internet, as in virtual museums applications.

scholarly journals Markerless mouse tracking for social experiments

2021 ◽  
Author(s):  
Van Anh Le ◽  
Toni-Lee Sterley ◽  
Ning Cheng ◽  
Jaideep Bains ◽  
Kartikeya Murari
Keyword(s):  
Hybrid Approach ◽  
Social Recognition ◽  
Experimental Setup ◽  
Human Intervention ◽  
Tracking Accuracy ◽  
Experimental Conditions ◽  
Anatomical Features ◽  
Social Experiments ◽  
Novel Approach ◽  
Social Behaviours

Automated behavior quantification requires accurate tracking of animals. Simultaneous tracking of multiple animals, particularly those lacking visual identifiers, is particularly challenging. Here we propose a markerless video-based tool to simultaneously track two socially interacting mice of the same color. It incorporates conventional handcrafted tracking and deep learning based techniques, which are trained on a small number of labeled images from a very basic, uncluttered experimental setup. The output consists of body masks and coordinates of the snout and tail-base for each mouse. The method was tested on a series of cross-setup videos recorded under commonly used experimental conditions including bedding in the cage and fiberoptic or headstage implants on the mice. Results obtained without any human intervention showed the effectiveness of the proposed approach, evidenced by a near elimination of identities switches and a 10% improvement in tracking accuracy. This suggests that the hybrid approach could be valuable for studying group behaviors, such as social interaction. This novel approach addresses problems of mistaken identities and lost information on key anatomical features that are common in existing methods. Finally, we demonstrated an application of this approach in studies of social behaviour of mice, by using it to quantify and compare interactions between pairs of mice in which some are anosmic, i.e. unable to smell. Our results indicated loss of olfaction impaired typical snout-directed social recognition behaviors of mice, while non-snout-directed social behaviours were enhanced.

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