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There is evidence to suggest that Malaysian housemen are becoming more burned out. This study examines relationships between role ambiguity, organisational justice, organisational citizenship behaviour (OCB), and burnout among housemen at the Malaysian Ministry of Health (MoH). The questionnaire was distributed at random to the study's participants. PLS-SEM was used to analyse the data (version 4.0). The quantitative technique was used to distribute a questionnaire to housemen at 15 public hospitals in Malaysia. The partial least squares structural equation modelling (PLS-SEM) method was used to analyse the data. The MoH can be advised to use the study's results to pinpoint elements of role ambiguity and OCB that can reduce burnout among Malaysian housemen. According to the research, organisational justice and OCB have positive effects on burnout while role ambiguity has a negative effect. In Malaysian public hospitals, the results show that two independent variables can reduce housemen's burnout. However, role ambiguity did not lessen the importance of burnout among housemen. In order to draught and implement the necessary policies, top management in all public hospitals will use the study's findings as a guide. If the nation can find a way to lessen housemen burnout by managing the implementation of policies that are related to role ambiguity and OCB, it might be able to better serve the communities in the future. [ABSTRACT FROM AUTHOR]

Extraction of bio-molecular event from bio-medical literature is very complex task. Bio-molecular event is nothing but a change in state of bio-molecules like proteins, genes etc. As bio-medical event is expressed with trigger word and its arguments, it needs to identify trigger words from data and then find out arguments of trigger words. Bio-medical data contains many ambiguous trigger words and can communicate multiple meanings in different settings. In order to clarify the meanings of such confusing trigger phrases, we employ a supervised technique. In this paper we propose a Bi-directional LSTM (Bi-LSTM) for extracting trigger words from biomedical text. These trigger words are most useful information in bio-molecular event expression. To extract the bio-molecular trigger words, we use a combination of three embedding techniques which are word embedding, character embedding and dependency relation embedding. For dependency embedding we identify dependency relation between current word and nearest protein within a sentence and a dictionary of dependency relations is formed for dependency embedding purpose. Our experiments on of BioNLP-2011 GENIA datasets for event extraction produced 72.54% recall, 75.14% precision and 73.74% F-score in detection of event triggers. [ABSTRACT FROM AUTHOR]

Wheat is the main growing cereal crop in India. For the country, designing, estimating productivity is the important tool for predicting the production of wheat to determine the circumstances that would be the value of production upcoming year. Fuzzy time series deals with the problems associated with unpredictability ambiguousness and cloudiness. In this study enlargement of fuzzy time series variant model is used in forecasting wheat production. The data of previous years from 2000 to 2021 was taken for analysis and the proposed method on fuzzy time series estimates future events' precision rate. The suggested method used the percentage change as the Universe of Discourse and Average-based Partitioning. [ABSTRACT FROM AUTHOR]

The period of substantial economic ambiguity such as recession and economic crisis had urged us to boost the savings rate as people forgo their current consumption expenditure to compensate for an unpredictable financial future. The exigency of saving amid new normal endemic is vital for economic growth and recovery. Hence, this paper is aimed to analyze some macroeconomic factors such as interest rate, inflation rate, household income, government consumption expenditure, and the household final consumption expenditure that can influence the household savings in Malaysia by using the ordinary least square method (OLS). This paper utilizes the secondary data sources from the World Bank Data and Department of Statistics Malaysia over the period from 1999 to 2019. The findings manifest that a new predictor variable which is the government consumption expenditure, as well as the household final consumption expenditure had a negative significant effect on household savings whereas household income and interest rate are known as less significant factors. Nonetheless, inflation rate is found insignificant towards the household savings in Malaysia. Therefore, this paper implies the exploration of factors affecting household savings could be useful to policymakers, investors, and financial advisors to help sustaining the macroeconomic wellbeing and hence raise the standard of living. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic, the biggest pandemic after the Spanish flu pandemic, has become a new proposition to achieve the Sustainable Development Goals (SDGs). It affects every aspect of human life, such as health, education, economy, so that, SDG 1 (No Poverty), SDG 2 (Zero Hunger), SDG3 (Health and Welfare), SDG4 (Quality Education), SDG 10 (Reduced Inequalities) may come with grief. We majorly focused on literature review of discussing actions that are not related or related to the goals of SDGs as a whole or not as a whole completed in VUCA (volatility, uncertainty, complexity, ambiguity) circumstance of post COVID-19 pandemic. Thus, we discovered the best derivation for optimal post COVID-19 recovery. We imagining in five scenarios as regards actions to its possible consequence for post COVID-19 recovery. We conclude that SDGs push scenario is the superlative action scenario to face VUCA circumstance of post-pandemic. We hope that this review will provide an initiative for stakeholders and related sectors to continue pointing the usage of the SDGs, so as, the progress that has been made to achieve the SDGs for sustainable living can be realized on time towards optimal post COVID-19 recovery. [ABSTRACT FROM AUTHOR]

In recent times, Fuzzy analytical hierarchy process (FAHP) has become one of the most extensively utilized techniques in Multi Criteria Decision Making (MCDM). Decision making is a difficult activity which requires consideration of a variety of factors and evaluation criteria. The article discusses how the decision-making process is enhanced by the use of fuzzy AHP in an automobile manufacturing unit. Numerous advanced economies owe their existence to the automobile sector. While manufacturing in automobile industry is a well-established process, decision making remains rather perplexing. Making decisions at an automobile manufacturing facility is a complicated MDCM problem that includes a series of criteria and expert judgement, as well as uncertainty and subjectivity. Triangular fuzzy set is an extremely effective notion for dealing with uncertainty because it presents a broader decision-making region and identifies ambiguity. This work proposes a fuzzy MDCM technique based on triangular fuzzy AHP for managing the decision-making problem under complex and ambiguous circumstances. There are four key departments: design, production, quality, and training. Each department has six decision criteria, for a total of 24. Additionally, the Pareto principle is applied to the Fuzzy AHP results to focus on a few critical variables rather than a larger collection of less important variables, yielding in the best results. This study suggests that the seven prominent decision factors are planning, encouragement and assistance, technology adaptation, expertise in inspection, knowledge and expertise, exploring methods for improved design, and adhere to safety standards in an automobile manufacturing unit. [ABSTRACT FROM AUTHOR]

Architecture is a communication where a language is formed to create architectural messages. Besides, the architectural message can be perceived and interpreted differently, from the point of view of the author and the viewer, or the recipient. The problems of perception of architectural objects from the point of view of communication between the architect and the consumer are considered here. The article discusses the basics of architectural semiotics. The main parts of architectural semiotics are considered: semantics, syntactics, pragmatics and grammar. Issues related to the nature of sign systems are traced. The main sections of architectural semiotics are considered, where several large and rather autonomous topics are distinguished, the knowledge of which will allow to operate more freely in the architectural language. Metaphorical features of architecture, its vocabulary, some symbolic and semantic possibilities of both historical and modern architectural language are determined. Similarly, despite the flexible interpretation and ambiguity of architectural metaphors, certain types are distinguished - these are simple metaphors, mixed metaphors and alluding metaphors. Thus, changes in short-lived codes of architectural language do not affect the slight mystery and, at the same time, the ambiguity of this image. This is the highest metaphorical level, where there is a fusion of elite and popular codes for reading the language of architecture on a subconscious level. [ABSTRACT FROM AUTHOR]

Comprehension is the strongest of classic pillars still supporting the social technologies teaching. However, the pragmatic justification of non-standard attitudes in university courses gets its carte blanche at every turn and point in teaching marketing. Let us have a closer look at the intrigue of theory / pragma interaction, and we hope to achieve a fresher diagnosis for marketing courses in the twenty first century. Our research relies on comparing teaching experiences in Russia and Mexico when addressing students of business disciplines. Keeping in mind some absolute cultural variables that define regional youth experiences, we find out dominating semantics of understanding that drives new non-standard motivation for developing marketing skills. Globalization is never self-fulfilled at the start, but what we argue that globalization revives classic premises of education that freshly arrive as new universal invariant for youth social experiences. [ABSTRACT FROM AUTHOR]

The von Roos' position dependent mass Schrödinger Equation (PDMSE) is given in terms of an effective potential, which is constructed by the potential under study and additional terms involving the position dependent mass and the ambiguity ordering parameters. At this regard, some of the most important approaches to the ambiguity parameters are those of BenDaniel-Duke, Gora-Williams, Zhu-Kroemer, Li-Kuhn and so on. In this work we show that for the cases of Zhu-Kroemer and BenDaniel-Duke it is possible to express any solvable potential through a couple of quantum superpotentials. For this, we stablish the factorization of the PDMSE Hamiltonian and the use of a point canonical transformation; these allow to identify a first superpotential W(x). Next, the term in the effective potential with ambiguity parameters is expressed through a function Z(x) and later the cases when Z(x) is a quantum superpotential are discussed. This way, the proposed superpotentials determine the solvable potentials in the PDMSE, the energy spectra and mass functions. We give some examples to explain the approach which can be straightforwardly applied to the solution of the PDMSE for other different potential models and mass distributions. [ABSTRACT FROM AUTHOR]

The Cognitive Walkthrough (CW) method was used to evaluate the usability of the SAFEFORM interface design. SAFEFORM is a web-based tool designed specifically for Indian construction industry safety experts to facilitate the process of risk assessment, focusing on preventing falls associated with vertical formwork. According to safety experts interviewed, the existing risk assessment method has a lack of safety knowledge issues on specific activities. The provision of an interactive learning environment is a critical ingredient in facilitating safety experts' safety knowledge in understanding particular activities' safety information. The SAFEFORM prototype was created based on the user requirements of safety experts, emphasizing cognitive, psychomotor, and behavioral aspects. A small group of construction professionals, faculty, and designer was involved in this CW method used on the SAFEFORM interface design. The findings revelated 5 usability issues and indicated that SAFEFORM interface should be re-designed based on these issues to reduce the ambiguity to the users. [ABSTRACT FROM AUTHOR]

Entropy is one of the important concepts in physics and thermodynamics and it is one of the quantities surrounded by amount of mystery. The ambiguity of this concept is due to several reasons, including the mathematical and physical interpretation of the concept as presented by Clausius. This ambiguity is also due in part to the widening of the use of the term entropy to represent several physical concepts that are not related to the basic concept of entropy as introduced by Clausius himself. In this paper, the mathematical and physical modeling of this term will be reviewed. Furthermore, this paper will show how does this term has been used to describe some physical concepts which are not related to the original use of it. And finally, in order to remove the confusion and ambiguity surrounded this term, the paper will show how should the entropy explained and understanding from the macroscopic thermodynamics point of view. [ABSTRACT FROM AUTHOR]

This paper elucidates on MFn and NMFn of Hexagonal Intuitionistic fuzzy number (HIFn) with value index and ambiguity index using alpha cut and beta cut. Ranking is applied on HIFn and to demonstrate the advanced approach explanatory example is presented. The foremost purpose is to apply the ranking on HIFn to convert an intuitionistic fuzzy numbers to crisp number and solved a problem based on the same approach. [ABSTRACT FROM AUTHOR]

In this paper, we present a new approach for Word Sense Disambiguation in a supervised context, Word embedding. The first part of the proposed method consists on obtaining the vectorial representation of the ambiguous words and their possible senses using the Transformer CAMEMBERT; the second part consists in detecting the sense by means of the proposed similarity measure. [ABSTRACT FROM AUTHOR]

The world is full of uncertain and vagueness to solve such a kind of ambiguity Neutrosophic number is defined to analysis the indeterminacy hence to enhance the indeterminacy further a special single valued linear nanogonal Neutrosophic number is defined and its de-Neutrosophication formula is derived. [ABSTRACT FROM AUTHOR]

The majority of the time, Sentiment Analysis is utilised to figure out what the author is thinking about. Major provocation has been occurring, and irony detection is believed to be one of the most provocative aspects of the situation currently. Irony is a unique manner of describing information that is in opposition to the topic being discussed, resulting in ambiguity. Data preparation, which covers numerous techniques such as lemmatization, tokenization, and stemming, is a main activity performed by the majority of software engineers. Many studies are carried out in the field of irony detection, which covers a variety of feature extraction algorithms. Support Vector Machine (SVM), linear regression, Nave Bayes, Random Forest, and other machine learning classifierswere employed in these studies, among others. The accuracy, precision, recall, and F-score obtained as a result of these research efforts may be utilized to forecast the most appropriate model for a given situation. In this study, we will explore the numerous methodologies that are employed in ironic text identification for Sentiment Analysis. [ABSTRACT FROM AUTHOR]

Evidences show that the level of burnout among housemen in Malaysia has increased or is increasing. Thus, the purpose of the study is to examine the effect of role ambiguity on burnout among housemen in the Malaysian public hospitals. Additionally, organisational citizenship behaviour (OCB) has been tested as a moderating variable in this study. By utilizing the quantitative approach, questionnaire has been distributed to housemen in 15 public hospitals, Malaysia. The Partial Least Squares Structural Equation Modelling (PLS-SEM) has been used as a tool to analyze the data. Result show role ambiguity have positive significant toward burnout and can reduce the value of burnout among housemen in Malaysia public hospitals. In addition, organizational citizenship behavior (OCB) act as moderator strengthen the relationship between role ambiguity and burnout. The value of burnout among housemen also reduce. Next, the implication of this study will provide a guide for the top management in all public hospitals on the formulation and implementation of the relevant policies. This knowledge on decreasing the level of housemen burnout may help the country to provide a better service to the communities eventually. [ABSTRACT FROM AUTHOR]

When forming an ontology, a heuristic approach to the formation and organization of knowledge is often used. The paper proposes a method of metaontologies in the intellectual analysis of text resources, taking into account the fuzziness and blurring of images of natural language units. The use of metaontology makes it possible to organize the search for the necessary data using various inference systems. In the process of information support, metaontology makes it possible to search for information across a large number of distributed heterogeneous data storages and to solve the problem of synonymy and ambiguity of object semantics. The mechanism of dynamic formation of syntagmatic patterns will reduce the impact of the quality of queries to the knowledge base on the quality of answers, as well as increase the speed of finding answers by training the question-answer system. [ABSTRACT FROM AUTHOR]

Subject. The relevance of the study is to substantiate one of the possible ways to link the results of agricultural land use with their quality and measures of agro-industrial impact. Purpose. The purpose of the study was to identify the degree of correlation between two sets of variables characterizing various aspects of agricultural land use in the Moscow region. Methodology. By evaluating canonical correlations, it is shown that even in the absence of a direct correlation between various indicators in agriculture, if it is impossible to identify key factors that can orient the economy of individual industries to the trajectory of sustainable growth, with the help of in-depth methods of multidimensional data analysis, it is possible to obtain a factor structure of the initial set reflecting the correlation between the studied groups of variables. Through the consistent improvement of the resulting structure, it is possible to come to an understanding of the basic elements that, when included in the strategic plan for the development of the agricultural sector, can change current unfavorable situation at the regional level. This can be useful especially in conditions of ambiguity of investment decisions on the actual use of agricultural land, considering the goals set in the livestock or crop production sectors. It is also important to adapt further the proposed algorithm by working it out on relatively up-to-date data. Results. According to the results of the canonical analysis, two economic and statistical models were compiled: in the 1st one, the dependence between the state of the lands of the Moscow region and the results of their use was revealed, in the 2nd one, an average correlation was established between the measures taken for agricultural development and the target points of activities in the field of agribusiness. Conclusions. The obtained results and conclusions of the conducted research can be used to form an interregional platform for experience and knowledge exchange, to prepare analytical materials for the preparation of relevant government decisions aimed at accelerating the innovative development of rural areas, to compile and update national and regional economic development programs for the long term. [ABSTRACT FROM AUTHOR]

The special heptagonal neutrosophic number is an special case of single valued linear heptagonal number which is an extension of single typed neutrosophic number. The World is full of ambiguity, vaguness, uncertain and unclear in Nature and one of the important problem is replacing things in an correct time. In this contribution the concept of special heptagonal neutrosophic number is defined and its score function is formulated further, an example of replacement problem is solved using Matlab Programming. [ABSTRACT FROM AUTHOR]

Rough set theory offers a new mathematical method for inadequate understanding. In this way, ambiguity is conveyed by a boundary area which can be defined using algebraic operator union and intersection which are known as approximations. In this paper, we study some properties of rough fuzzy ideals of Γ-ring and prove some results on these. [ABSTRACT FROM AUTHOR]

This article describes the research and development of new scientific and technical solutions for the implementation of high-precision and noise-immune broadband ultra-high-frequency radio navigation systems with improved electromagnetic compatibility through the use of noise-like signals. From a scientific point of view, the implementation of the proposed study will make it possible to advance in the development of methods and algorithms for using phase measurements to determine the coordinates of sea-going vessels with simultaneous resolution of phase ambiguity. [ABSTRACT FROM AUTHOR]

This article is devoted to the analysis of multipath propagation of simple navigation signals for the possibility of reliable elimination of the ambiguity of complete phase cycles for different metric frequencies. To eliminate ambiguity in the double range measurement mode, the following algorithm is proposed: divide each measured values of phase shifts for different metric frequencies by two and then remove the ambiguity of phase samples. Considering that the ground-based radio navigation system works on the open sea without failures, then the addition of a margin of 16 dB should allow it to work in the presence of local items. The elimination of ambiguity will increase the reliability of navigation of sea vessels and expand the scope of application of the RNS on land. [ABSTRACT FROM AUTHOR]

We formulate an ambiguity-averse stochastic replenishment model for non-smooth environmental degrading dynamics subject to jump ambiguity; the observation intensity is disturbed by the opponent called Nature. The value function as the worst-case disutility is suggested to be a discontinuous function solving a non-linear and non-local Bellman equation. We suggest importance of analyzing environmental engineering problems both mathematically and numerically. [ABSTRACT FROM AUTHOR]

We knows that the most common use of Type 2 ambiguity (T2 FS) is to treat and control the vagueness and uncertainty found in the Type 1 ambiguity group. In T2 FS, The fuzzifier m is the most important type 2 (T2 FS) parameter. Therefore, determining a constant value for interference can be done on an ongoing basis. In this paper, several methods have been studied. The first method was the aggregation of interval type 2-interval potential fuzzy C-mean (IT2PFCM) to classify a given pattern. In the second IT2 PFCM method used for aggregation, the value of the fitting fuzzification constant was calculated for each data adaptively. Then the information was extracted from each point in the data through the graph approach, then we used two constants for m1 and m2 noise using the extracted information, and those values were found and determined in this way i.e. the lowest and highest organic values for an obscure type 2 interval. [ABSTRACT FROM AUTHOR]

Sentiment Analysis is very important for many applications and tasks. It became very useful tool in market trends predictions, social media monitoring, sufficient predictor for election and products. Many approaches, by many researchers, were used for this task starting from rules-based to machine learning and deep learning approaches on different types of data. All of these methods suffer from a lack of accuracy as a result of not achieving the correct understanding of the texts. In this work, an approach for extracting and using the exact meaning of the word within the context is used as part of initialization data representation. Three well-known classifiers were used (Narve Bayes, Support Vector Machine, and Maximum entropy) for testing this approach on two languages (Arabic and English). The system was evaluated using precision, recall, f-measure, and accuracy on two different datasets (Stanford Sentiment Treebank for English language and LABR-V2 for Arabic language). The results showed that the exact meaning of the words is very useful and the accuracy was increased by range 7.3% for best cases and increased by range of 4% in worst cases. The contributions of this work can be summarized by: (i) using exact meaning of the word for two languages, (ii) using new approach for adding synonyms and antonyms for exact meaning of the word in context, and (iii) better accuracy was received compared with the baseline classifiers. [ABSTRACT FROM AUTHOR]

Intuitionistic Fuzzy sets are used to solve problems with state of uncertainty due to many uncontrollable factors. Intuitionistic fuzzy sets are extension of fuzzy sets where they have a non-membership function along with membership function. The primary purpose is to generalize Odd IFN with their MFn and NMFn. The generalized value and generalised ambiguity definitions with alpha and beta cuts are defined. Generalized odd IFN which are defined are justified by evaluating a hendecagonal IFN problem based transportation. [ABSTRACT FROM AUTHOR]

The main purpose of this paper is to introduce a novel reversal ranking using max-min operations in cubic soft matrix. A cubic soft matrix is significant in analyzing the ambiguity environment. In this paper, we recall the notion of cubic soft matrix and introduce the concept of max-min operations, complement, cubic weight order, value function and score function. A real life situation is grounded to solve the ambiguity environment which deals with multiple decision makers. [ABSTRACT FROM AUTHOR]

Unambiguous characterization of metal insulator transition in disordered system is an important problem. One of the most widely used indicator to do this characterization is inverse participation ratio (IPR). IPR can capture the signature of metal insulator transition but it is not free of ambiguity. However, a much more effective and unambiguous approach to identify an insulating or metallic state is to use a localization tensor which is based on the idea of Kohn's localization. We have studied the one-dimensional Aubry-Andrẻ model with cosine modulated disorders. We have used both rational and irrational modulation of the disorder potential to show that it is easier to conclude about the electronic state if localization tensor is used for characterization. [ABSTRACT FROM AUTHOR]

For the full understanding of baryon-baryon interactions in flavor SU(3), the ΞN interaction is the last missing piece of information. So far, we have revealed the ΛN interaction to be attractive (UΛ ≈ 30 MeV), and ΣN interaction to be repulsive in the medium to heavy mass-number region. The ΛΛ bonding energy is weakly attractive. While we have a few experimental observations suggesting the ΞN interaction would be attractive, there still exist large theoretical ambiguities weather it is attractive or not. Experimental determinations on the existence of bound states of Ξ hypernuclei by observing bound-state peaks are strongly awaited. In this report, a new preliminary result on the missing-mass spectrum of a 12C(K−, K+) reaction, which strongly suggests the existence of Ξ-hypernuclear bound states, is presented. [ABSTRACT FROM AUTHOR]

Polynomial equations with trapezoidal and triangular fuzzy numbers have attracted some interest among researchers in mathematics, engineering and social sciences. There are some methods that have been developed in order to solve these equations. In this study we are interested in introducing the interval type-2 fuzzy polynomial equation and solving it using the ranking method of fuzzy numbers. The ranking method concept was firstly proposed to find real roots of fuzzy polynomial equation. Therefore, the ranking method is applied to find real roots of the interval type-2 fuzzy polynomial equation. We transform the interval type-2 fuzzy polynomial equation to a system of crisp interval type-2 fuzzy polynomial equation. This transformation is performed using the ranking method of fuzzy numbers based on three parameters, namely value, ambiguity and fuzziness. Finally, we illustrate our approach by numerical example [ABSTRACT FROM AUTHOR]

Fuzzy polynomials with trapezoidal and triangular fuzzy numbers have attracted interest among some researchers. Many studies have been done by researchers to obtain real roots of fuzzy polynomials. As a result, there are many numerical methods involved in obtaining the real roots of fuzzy polynomials. In this study, we will present the solution to the fuzzy polynomial equation and dual fuzzy polynomial equation using the ranking method of fuzzy numbers and subsequently transforming fuzzy polynomials to crisp polynomials. This transformation is performed using the ranking method based on three parameters, namely Value, Ambiguity and Fuzziness. Finally, we illustrate our approach with two numerical examples for fuzzy polynomial equation and dual fuzzy polynomial equation. [ABSTRACT FROM AUTHOR]

Despite the fact, that, in reality facial expressions occur as a result of muscle actions, facial expression models assume an inverse functional relationship, which makes muscles action be the result of facial expressions. Clearly, facial expression should be expressed as a function of muscle action, the other way around as previously suggested. Furthermore, a human facial expression space and the robots actuator space have common features. However, there are also features that the one or the other does not have. This suggests modelling shared and non-shared feature variance separately. To this end we propose Shared Gaussian Process Latent Variable Models (Shared GP-LVM) for models of facial expressions, which assume shared and private features between an input and output space. In this work, we are focusing on the detection of ambiguities within data sets of facial behaviour. We suggest ways of modelling and mapping of facial motion from a representation of human facial expressions to a robot’s actuator space. We aim to compensate for ambiguities caused by interference of global with local head motion and the constrained nature of Active Appearance Models, used for tracking. [ABSTRACT FROM AUTHOR]