Behavioural Factors Affecting Differential Parasitism by Anagrus epos (Hymenoptera: Mymaridae), of Two Species of Erythroneuran Leafhoppers (Homoptera: Cicadellidae)

10.2307/5020 ◽  
1990 ◽  
Vol 59 (3) ◽  
pp. 877 ◽  
Author(s):  
William H. Settle ◽  
L. Theodore Wilson
Keyword(s):  
Factors Affecting ◽  
Anagrus Epos ◽  
Behavioural Factors ◽  
Differential Parasitism

scholarly journals Strategies for a Circular Economy in the Construction and Demolition Sector: Identifying the Factors Affecting the Recommendation of Recycled Concrete

2021 ◽  
Vol 13 (8) ◽  
pp. 4113
Author(s):  
Valeria Superti ◽  
Cynthia Houmani ◽  
Ralph Hansmann ◽  
Ivo Baur ◽  
Claudia R. Binder
Keyword(s):  
Circular Economy ◽  
A Priori ◽  
Recycled Concrete ◽  
Recycled Aggregates ◽  
Factors Affecting ◽  
Structural Applications ◽  
Adoption Of Innovation ◽  
Decision Making Processes ◽  
Behavioural Factors ◽  
High Level

With increasing urbanisation, new approaches such as the Circular Economy (CE) are needed to reduce resource consumption. In Switzerland, Construction & Demolition (C&D) waste accounts for the largest portion of waste (84%). Beyond limiting the depletion of primary resources, implementing recycling strategies for C&D waste (such as using recycled aggregates to produce recycled concrete (RC)), can also decrease the amount of landfilled C&D waste. The use of RC still faces adoption barriers. In this research, we examined the factors driving the adoption of recycled products for a CE in the C&D sector by focusing on RC for structural applications. We developed a behavioural framework to understand the determinants of architects’ decisions to recommend RC. We collected and analysed survey data from 727 respondents. The analyses focused on architects’ a priori beliefs about RC, behavioural factors affecting their recommendations of RC, and project-specific contextual factors that might play a role in the recommendation of RC. Our results show that the factors that mainly facilitate the recommendation of RC by architects are: a senior position, a high level of RC knowledge and of the Minergie label, beliefs about the reduced environmental impact of RC, as well as favourable prescriptive social norms expressed by clients and other architects. We emphasise the importance of a holistic theoretical framework in approaching decision-making processes related to the adoption of innovation, and the importance of the agency of each involved actor for a transition towards a circular construction sector.

scholarly journals Factors contributing towards research productivity in higher education

2020 ◽  
Vol 9 (1) ◽  
pp. 203
Author(s):  
Caroline Henry ◽  
Nor Azura Md Ghani ◽  
Umi Marshida Abd Hamid ◽  
Ahmad Naqiyuddin Bakar
Keyword(s):  
Higher Education ◽  
Research Productivity ◽  
Academic Staff ◽  
Student Perception ◽  
Primary Data ◽  
Factors Affecting ◽  
Age Cohort ◽  
Role Of Principal ◽  
Behavioural Factors ◽  
Conducting Research

<span>Research Productivity (RP) is the key element in the establishment of ranking and rating system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven the research culture among academic staff, there are still constraints and resistance towards conducting research. Therefore, this study attempts to identify the factors affecting RP and develop an appropriate model to determine the RP of an academic staff in Universiti Teknologi MARA (UiTM). In this study, 5 research related indicators were used in the determination of RP. Since the population size of UiTM is large, the primary data was collected by using questionnaire survey and stratified random sampling. The variables that were found to be significant in determining RP of an academic staff were age cohort, highest qualification, cluster and track emphasis. Satisfaction towards annual KPI, UiTM current policy and monthly income were also found to influence the RP of an academic staff. In addition, perceiving the role of principal investigator as a chore and burden and supervising and graduating a PhD student perception as burden and pleasure were also found to be affecting RP. Using these variables, Logistic Regression Model was used to determine the RP of an academic staff in UiTM. In conclusion, personal, environmental and behavioural factors were found to have influence on the RP among academic staff of UiTM. Therefore, generally it is possible to maximize the RP of academic staff by identifying the factors influencing RP followed by strategic management and proper monitoring system.</span>

Behavioural factors affecting physical health of the New Zealand Maori

1990 ◽  
Vol 30 (4) ◽  
pp. 431-440 ◽  
Author(s):  
Perminder S. Sachdev
Keyword(s):  
New Zealand ◽  
Physical Health ◽  
Factors Affecting ◽  
Behavioural Factors

An ensemble-based model for prediction of academic performance of students in undergrad professional course

2019 ◽  
Vol 17 (4) ◽  
pp. 769-781 ◽  
Author(s):  
Preet Kamal ◽  
Sachin Ahuja
Keyword(s):  
At Risk ◽  
Academic Performance ◽  
Family Income ◽  
Peer Pressure ◽  
Influential Factors ◽  
Ensemble Model ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Behavioural Factors

Purpose The purpose of this paper is to develop a prediction model to study the factors affecting the academic performance of students pursuing an undergraduate professional course (BCA). For this purpose, the ensemble model of decision tree, gradient boost algorithm and Naïve Bayes techniques is created to achieve best and accurate results. Monitoring the academic performance of students has emerged as an essential field as it plays a vital role in the accurate development and growth of students’ critical and cognitive thinking. If the academic performance of students during the initial years of the graduation can be predicted, different stakeholders, i.e. government, policymakers, academicians, can be helped to make significant remedial strategies. This comprehensible practice can go a long way in shaping the ideologies of young minds, enhancing pedagogical practices and reframing of curriculum. This study aims to develop positive steps that can be taken to enhance future endeavours in the field of education. Design/methodology/approach A questionnaire was prepared specifically to find out influential factors affecting the academic performance of the students. Its specific area of investigation was demographic, social, academic and behavioural factors that influence the performance of the students. Then, an ensemble model was built using three techniques based on accuracy rate. A 10-fold cross-validation technique was applied to access the fitness of results obtained from proposed ensemble model. Findings The result obtained from ensemble model provides efficient and accurate prediction of student performance and helps identify the students that are at risk of failing or being a drop-out. The effect of previous semester’s academic performance shows a significant impact on current academic performance along with other factors (such as number of siblings and distance of university from residence). Any major mishap during past one year also affects the academic performance along with habit-based behavioural factors such as consumption of alcohol and tobacco. Research limitations/implications Though the existing model considers aspects related to a student’s family income and academic indicators, it tends to ignore major factors such as influence of peer pressure, self-study habits and time devoted to study after college hours. An attempt is made in this paper to examine the above cited factors in predicting the academic performance of the students. The need of the hour is to develop innovative models to assess and make advancements in the present educational set-up. The ensemble model is best suited to study all factors needed to accomplish a robust and reliable model. Originality\value The present model is developed using classification and regression algorithms. The model is able to achieve 99 per cent accuracy with the existing data set and is able to identify the influential factors affecting the academic performance. As early detection of at-risk students is possible with the proposed model, preventive and corrective measures can be proposed for improving the overall academic performance of the students.

scholarly journals Determinants of contraceptive use dynamics: research needs on decision and choice

1989 ◽  
Vol 21 (S11) ◽  
pp. 9-16 ◽  
Author(s):  
Axel I. Mundigo ◽  
James F. Phillips ◽  
Aphichat Chamratrithirong
Keyword(s):  
Contraceptive Use ◽  
Fertility Control ◽  
Factors Affecting ◽  
Economic Context ◽  
The Social ◽  
Contraceptive Services ◽  
Behavioural Factors ◽  
New Research ◽  
Reproductive Events ◽  
Relevant Consideration

SummaryBecause of the importance of contraceptive behaviour in most societies today a better understanding is needed of the social and behavioural factors affecting contraceptive decisions and choices of individuals and couples. This paper examines the need for longitudinal, theoretically-based studies of contraceptive use dynamics, including the timing, duration and interaction of reproductive events which may be more important than contraceptive technology in the social, cultural and economic context of fertility control. New research methods and appropriate analysis of data are relevant. Consideration of the social context is essential for the formulation and implementation of effective policies relating to the provision of contraceptive services.

The moderating effect of personal and situational characteristics in behavioural factors affecting ports of call

2017 ◽  
Vol 22 (2) ◽  
pp. 133-141 ◽  
Author(s):  
Silvia Sanz-Blas ◽  
Elena Carvajal-Trujillo ◽  
Daniela Buzova
Keyword(s):  
Moderating Effect ◽  
Factors Affecting ◽  
Situational Characteristics ◽  
Behavioural Factors

scholarly journals Behavioural factors affecting the adoption of sustainable farming practices: a policy-oriented review

2019 ◽  
Vol 46 (3) ◽  
pp. 417-471 ◽  
Author(s):  
François J Dessart ◽  
Jesús Barreiro-Hurlé ◽  
René van Bavel
Keyword(s):  
Social Factors ◽  
Agricultural Policy ◽  
Cognitive Factors ◽  
Factors Affecting ◽  
Environmentally Sustainable ◽  
Farmer Decision Making ◽  
Behavioural Factors ◽  
Dispositional Factors ◽  
Economic Analyses ◽  
The Eu

AbstractThis paper reviews the findings from the last 20 years on the behavioural factors that influence farmers’ decisions to adopt environmentally sustainable practices. It also proposes policy options to increase adoption, based on these behavioural factors and embedded in the EU Common Agricultural Policy. Behavioural factors are grouped into three clusters, from more distal to more proximal: (i) dispositional factors; (ii) social factors and (iii) cognitive factors. Overall, the review demonstrates that considering behavioural factors enriches economic analyses of farmer decision-making, and can lead to more realistic and effective agri-environmental policies.

Behavioural factors affecting male reproductive success in red deer (Cervus elaphus)

1980 ◽  
Vol 28 (4) ◽  
pp. 1163-1174 ◽  
Author(s):  
R.M. Gibson ◽  
F.E. Guinness
Keyword(s):  
Reproductive Success ◽  
Cervus Elaphus ◽  
Red Deer ◽  
Male Reproductive Success ◽  
Factors Affecting ◽  
Behavioural Factors

scholarly journals Ranking Effective Behavioural Factors Affecting Non –compliance in Business Tax from the Professional Perspective

2019 ◽  
Vol 27 (42) ◽  
pp. 43-72
Author(s):  
Farokh Barzideh ◽  
Sajjad Ebrahimi Dardeh
Keyword(s):  
Factors Affecting ◽  
Professional Perspective ◽  
Business Tax ◽  
Behavioural Factors
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