Relevant bibliographies by topics / Factors that affect research output productivity

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Factors that affect research output productivity'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Factors that affect research output productivity"

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Ahmad Nazri, Mohd Zakree, Rohayu Abdul Ghani, and Mas Ayu Che Razali. "Using Data Mining to Predict Academician Publication Output." Asia Proceedings of Social Sciences 2, no. 4 (2018): 110–14. http://dx.doi.org/10.31580/apss.v2i4.396.

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This research focuses on predicting academician performance in terms of publication productivity and investigate the factors that affect academicians’ achievement. Previous studies have shown that there are many important variables when analysing academicians’ productivity at the individual level. This study investigates how scientific publication rate by individual is influenced by factors such as gender, age, number of research grant and academic position of the researchers using decision tree. Having a decision rules, university leaders can understand upcoming trends with respect to lea
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Mahmood, Yazen N., Manaf B. Raewf, and Zaid S. AL- Hamadany. "A Study on the Perceptual Relationship between Overtime and Output at Private Universities." Cihan University-Erbil Journal of Humanities and Social Sciences 3, no. 1 (2019): 27–31. http://dx.doi.org/10.24086/cuejhss.v3n1y2019.pp27-31.

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The overtime is an extra effort to ensure that the job or duty is completed. In private universities, overtime is needed to cover all hours of the courses and this may affect in a good or bad way on the lecture "depending on the number of extra hours". This research highlights the importance of overtime and how it affects the performance of private universities. The (SPSS) program has been used to analyze the data. 34 questionnaire papers were obtained out of 40 have been distributed on employees at Knowledge University. The study found that there is a strong relationship between employees' Pr
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Wills, Debbie, Gail Ridley, and Helena Mitev. "Research productivity of accounting academics in changing and challenging times." Journal of Accounting & Organizational Change 9, no. 1 (2013): 4–25. http://dx.doi.org/10.1108/18325911311307186.

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PurposeThe aim of this study is to investigate factors considered to impact on the research productivity of accounting academics, and identify how the factors were related. The study aims to set itself within an international context of increased workloads, and revenue‐driven research and teaching.Design/methodology/approachA meta‐analysis was conducted of international studies from accounting and related business fields, published between 1988 and 2008, that examined factors influencing the research productivity of academics. A data‐driven approach to thematic analysis was used to synthesise
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Yang, Zhao, and Hong Fang. "Research on Green Productivity of Chinese Real Estate Companies—Based on SBM-DEA and TOBIT Models." Sustainability 12, no. 8 (2020): 3122. http://dx.doi.org/10.3390/su12083122.

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Apart from promoting social-economic development and increasing social employment, the real estate industry in China has also brought up problems such as high energy consumption and high emissions. Scholars now focus more on energy conservation, emission reduction and sustainable development of real estate companies in their current research. The data used by this paper are three-year panel data from 2015 to 2018, with observations from 15 representative real estate companies. CO2 and green credit index are introduced as the undesirable output and the green output of real estate companies resp
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Green, Paul. "The perceived influence on organizational productivity: a perspective of a public entity." Problems and Perspectives in Management 14, no. 2 (2016): 339–47. http://dx.doi.org/10.21511/ppm.14(2-2).2016.10.

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In an economic climate characterized by volatility, uncertainty, complexity and ambiguity, organizational productivity plays a more central role in determining success. There are many factors that impinge upon employees in their daily execution of duties that affect output. The purpose of this paper is to examine the factors that influence organizational productivity, specifically, from the viewpoint of its employees. The study draws upon a quantitative paradigm using a non-probability sampling technique. Data were collected from a total of 161 employees using a structured questionnaire across
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Teramae, Fumio, Tomohiro Makino, Yeongjoo Lim, Shintaro Sengoku, and Kota Kodama. "Impact of Research and Development Strategy on Sustainable Growth in Multinational Pharmaceutical Companies." Sustainability 12, no. 13 (2020): 5358. http://dx.doi.org/10.3390/su12135358.

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Research and development (R&D) productivity is continuously declining, and it is said that the conventional model of pharmaceutical business is becoming obsolete. Many research studies on R&D productivity focus on inputs (e.g., strategic transactions to absorb external innovation, R&D expenditures), outputs (e.g., approvals of a new drug), and outcomes (e.g., total sales, incomes). However, few prior studies address the relationship among these three components simultaneously. Therefore, we comprehensively analyzed factors affecting R&D productivity by statistically examining a
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Haider, Salman, and Javed Ahmad Bhat. "Does total factor productivity affect the energy efficiency." International Journal of Energy Sector Management 14, no. 1 (2020): 108–25. http://dx.doi.org/10.1108/ijesm-11-2018-0010.

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Purpose Because of growing energy consumption and increasing absolute CO2 emissions, the recent calibrations about the environmental sustainability across the globe have mandated to achieve the minimal energy consumption through employing energy-efficient technology. This study aims to estimate linkage between simple measure of energy efficiency indicator that is reciprocal of energy intensity and total factor productivity (TFP) in case of Indian paper industry for 21 major states. In addition, the study incorporates the other control variables like labour productivity, capital utilization and
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Samkin, Grant, and Annika Schneider. "Using university websites to profile accounting academics and their research output." Meditari Accountancy Research 22, no. 1 (2014): 77–106. http://dx.doi.org/10.1108/medar-05-2014-0038.

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Purpose – The purpose of this paper is to examine the profiles of Australian, New Zealand and South African accounting faculty members. Additionally, the study investigates whether there are any differences in research productivity of the accounting faculty between countries as measured by peer-reviewed academic journal output. Design/methodology/approach – This archival study uses details obtained from webpages of Departments of Accounting in the three countries to construct a profile of accounting academics. Findings – Significant differences in the profiles of accounting academics were foun
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Karsy, Michael, Fraser Henderson, Steven Tenny, et al. "Attitudes and opinions of US neurosurgical residents toward research and scholarship: a national survey." Journal of Neurosurgery 131, no. 1 (2019): 252–63. http://dx.doi.org/10.3171/2018.3.jns172846.

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OBJECTIVEThe analysis of resident research productivity in neurosurgery has gained significant recent interest. Resident scholarly output affects departmental productivity, recruitment of future residents, and likelihood of future research careers. To maintain and improve opportunities for resident research, the authors evaluated factors that affect resident attitudes toward neurosurgical research on a national level.METHODSAn online survey was distributed to all US neurosurgical residents. Questions assessed interest in research, perceived departmental support of research, and resident-percei
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Marshall, Emily C., Hoang Nguyen, and Paul Shea. "ENDOGENOUS GROWTH AND HOUSEHOLD LEVERAGE." Macroeconomic Dynamics 23, no. 5 (2017): 2089–113. http://dx.doi.org/10.1017/s1365100517000608.

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We add households with heterogeneous discount factors and constrained credit to a research and development (R&D)-based endogenous growth model. Borrowers' access to credit has profound implications for growth. The direction and magnitude of this effect depend on preferences over labor supply. If labor supply is highly elastic and households do not smooth their labor supply between labor that produces output and R&D, annual growth decreases from 11.6% to approximately zero as the debt-to-capital ratio rises from 0 to 1.38. If households instead have a strong preference for smoothing the
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Dissertations / Theses on the topic "Factors that affect research output productivity"

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Muller, Helene 1951. "Mapping the dynamics of research output productivity : viewed from a statistical research support perspective." Thesis, 2015. http://hdl.handle.net/10500/20124.

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Interest in effectively publishing academic articles stems from involvement in statistical research support provided to academic researchers conducting their research. In the context of this study research output (RO) is defined as the publication of research findings (articles) in academic journals accredited with the South African Department of Higher Education and Training’s (DHET). The vantage point of this research is that of research support statisticians. New knowledge is continually required to drive decision making, policy formulation, industry, economies, regulation, development, in
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Book chapters on the topic "Factors that affect research output productivity"

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Yeboah, Edmund, Aditi Bunker, Peter Dambach, et al. "Transformative Adaptations for Health Impacts of Climate Change in Burkina Faso and Kenya." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_119.

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AbstractClimate change strongly affects the health of sub-Saharan African populations. Effective adaptation strategies are required in order to enhance their limited adaptive capacities. The DFG-funded Research Unit (RU) “Climate change and health in sub-Saharan Africa” unites nine research institutions from Burkina Faso, Kenya, Germany, and Switzerland that will design, implement, and evaluate four different adaptation projects in these two African countries from 2020 until 2022.First, the effectiveness of an agro-biodiversification and nutrition program will be established for the reduction of child undernutrition of climate-sensitive nutrients in rural Burkina Faso and Kenya. Two respective cluster-randomized controlled trials (cRCT) will be conducted, each consisting of 2 × 600 children. Second, another cRCT will be conducted among 2 × 300 households in rural Burkina Faso to investigate how sunlight-reflecting cool-roof coatings affect human health outcomes, including cardiovascular and heat-related outcomes. Further outcomes comprise indoor temperature, carbon footprint, and productivity. Third, an index-based weather insurance (IBWI) will be introduced in rural Burkina Faso. The effects of IBWI on childhood nutritional status, dietary behavior, and healthcare seeking will be determined in 2 × 20 villages. Fourth, microbial larviciding has been evaluated as a promising environmental control for malaria vectors in Burkina Faso. Here, the interactions between climatic factors and the effectiveness of the intervention will be tested using spatiotemporal models.
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Deogam, Nitish, and Shabbiruddin. "Optimal Site Selection for Solar Photovoltaic Power Plant in North Eastern State of India using Hybrid MCDM Tools." In Research Anthology on Clean Energy Management and Solutions. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9152-9.ch041.

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As society develops, the demand for energy also increases. Most of world's energy requirements are fulfilled using fossil fuels or other types of non-renewable resources, which are polluting the environment, but also depleting. For this reason, the Government of India and the Government of Sikkim (North Eastern State of India) are working on policies to promote investment in solar photovoltaic (PV) plants and has plans to use it to meet the growing energy demand without causing damage to the environment. To make the best use of solar PV cells on commercial scale, it is necessary to know how to optimize the output of the PV power plant, and the most important factor is the selection of the land or the area on which the PV power plant is to be set up. There are multiple factors one must take into consideration for better output. In this study, focus has been put on geographical and meteorological factors that affect the output of the PV cells. Multi criteria decision making (MCDM) techniques have been used for selection of best site for PV power plant.
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Turksoy, Selcen Seda, and Ozkan Tutuncu. "Organizational Parasites." In Advances in Human Resources Management and Organizational Development. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9996-8.ch011.

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The efficient work of the employees is important for the adaptation of the business to the rapidly changing environmental conditions. Businesses should identify the factors that affect employee productivity and emerging threats because the efficient level of performance and the measurability of this output lead to rational use of the resources. Employees who do not fulfill their duties and responsibilities in the organization and take a share from the group product may lead to deviations in reaching the targets set by the organization. Justice in the organization, trust, the deterioration in the values may adversely affect the process. The existence of such employees is the indicator of parasitic relations in organizations. In literature, the number of applied studies is limited. The strength of the study is to provide a detailed evaluation and measurement tool in the subject of parasitism in organizations. The scale of parasitism was developed with self-directed and community-directed dimensions consisting of 20 statements and was validated by EFA, CFA, and reliability analysis.
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Dash, Nehal, Sanghamitra Debta, and Kaushik Kumar. "Application of ANN and PSO Swarm Optimization for Optimization in Advanced Manufacturing." In Research Anthology on Artificial Neural Network Applications. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch037.

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CNC lathe is one of the best machining techniques which provides us with better accuracy and precision. Considering speed, feed and depth of cut as inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness would be considered as the factors those affect the quality, machining time and cost of machining. Design of experiments (DOE) would be carried out in order to minimize the number of experiments. In the later stages application of Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) would be used for the Optimization in the advanced manufacturing considering CNC lathe. The obtained output would be minimized (for surface roughness) and maximized (for MRR) using Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO). The combination of various input parameters for the same would be identified and a comparison would be drawn with the various above methods.
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Dash, Nehal, Sanghamitra Debta, and Kaushik Kumar. "Application of ANN and PSO Swarm Optimization for Optimization in Advanced Manufacturing." In Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch017.

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CNC lathe is one of the best machining techniques which provides us with better accuracy and precision. Considering speed, feed and depth of cut as inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness would be considered as the factors those affect the quality, machining time and cost of machining. Design of experiments (DOE) would be carried out in order to minimize the number of experiments. In the later stages application of Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) would be used for the Optimization in the advanced manufacturing considering CNC lathe. The obtained output would be minimized (for surface roughness) and maximized (for MRR) using Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO). The combination of various input parameters for the same would be identified and a comparison would be drawn with the various above methods.
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Ammar Alzarrad, Mohammad. "Fuzzy Monte Carlo Simulation to Optimize Resource Planning and Operations." In Concepts, Applications and Emerging Opportunities in Industrial Engineering. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.93632.

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Resources planning and operations are essential concerns and specialty areas within industrial engineering and project management. Crew configuration plays a significant role in resource planning and operations. Crew configuration inefficiency is one of the most common reasons for the low productivity of manpower. Resources planning contains some inherent uncertainties and risks because it is an estimate of unknown values. Many factors affect resource planning. Some of these factors are fuzzy variables such as expert’s judgment, and some of them are random variables such as direct cost of equipment. The objective of this chapter is to present a method that combines fuzzy logic and Monte Carlo simulation (MCS) for the selection of the best crew configuration to perform a certain task. The model presented in this chapter is a joint propagation method based on both the probability theory of MCS and the possibility theory of fuzzy arithmetic. The research outcomes indicate that the presented model can reduce the duration and cost of a certain task, which will help reduce the cost and duration of the project.
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"The Ecology and Management of Wood in World Rivers." In The Ecology and Management of Wood in World Rivers, edited by FREDERICK J. SWANSON. American Fisheries Society, 2003. http://dx.doi.org/10.47886/9781888569568.ch16.

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<em>Abstract.</em>—A landscape perspective of wood in world rivers accounts for spatial and temporal patterns of sources of wood from streamside forests, processes of wood delivery to channels, transport of wood through river networks, and trapping sites of wood. Amounts of wood in a river system also depend on productivity of forests in source areas and decomposition rates. Collectively, these factors determine the amount and arrangement of individual pieces and accumulations of wood through a river network, which, in turn, affect ecological, geomorphic, social, and other features of rivers. Research to date deals with subsets of these components of wood in rivers, but there has been limited development of a general framework for wood in river networks. This chapter considers a framework for examining the arrangement of wood in river landscapes and how it may reflect the history of spatial patterns and timing of wood input and redistribution. Field studies provide examples of different spatial patterns and architectures of wood accumulations. Wood accumulations are shaped by input processes, trapping sites, and transport processes. Reaches in river networks may switch from wood patterns dominated by one set of controls to another because of gradual or abrupt input and redistribution. A framework for future studies and management includes interpretation of these different controls through time and over river networks.
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Conference papers on the topic "Factors that affect research output productivity"

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Xi, Zhiqiang, Zhenqing Wu, Zhongli Li, and Jishun Li. "Research on Dynamic Shift Rule of Agricultural Tractor PST Based on Maximum Productivity." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85434.

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When worked in field traction operation, the productivity index of the tractor unit is mainly reflected by the traction performance. Through analyzing the influence factors of the maximum productivity and the traction characteristics of tractor when equipped with automatic power-shift transmission, it is determined that the improvement of traction power of tractor is the fundamental measure to obtain the maximum productivity. Based on the principle, the dynamic gearshift rule and its control strategy are presented, which takes the throttle opening and engine speed as control parameters. Taking
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Lum, Kassy M., Donnie Proffitt, Ann Whitney, and Johné M. Parker. "Experimental Investigation and Numerical Optimization of Key Factors Affecting the Programming Efficacy of Passive UHF RFID Tags." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65265.

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Radio Frequency Identification (RFID) is a disruptive technology that uses radio waves to uniquely identify objects. As such, it has the potential to bring significant benefits to numerous government and private sector initiatives. However, significant technical challenges remain. A key area of study is in system performance: while the major hardware components in an RFID system (i.e., tags, readers and middleware) have been and continue to be studied extensively, there has been little research, comparatively, in characterizing RFID system performance. The research presented in this paper was
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Salzano, Rachel, Hazel Hall, and Gemma Webster. "Investigating the ‘Why?’ rather than the ‘How?’: current research priorities on the influence of culture on newcomer populations’ use of public libraries." In ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2032.

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Introduction. Library researchers are often concerned with the factors that affect individual use of public library resources. To date, culture as a determinant of public library use has not been fully explored across all public library populations. Method. As preparation for a larger study, a literature review on the information behaviours, and the use of public library resources, by newcomer populations was completed. This output was based on a literature search on commercial databases and Google Scholar. Thematic concept mapping surfaced relevant seams of extant literature of interest to th
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ZVIRBULE, Andra, and Raivis ANDERSONS. "FACTORS INFLUENCING CHANGES OF BEEF CATTLE HERD QUANTITY AND SIZE: CASE OF LATVIA." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.147.

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Beef production volumes in Latvia have been different over a long period of time, beef output growth has been noted, as well as its sharp decrease, so it is important to analyze, what are the most important factors that are affecting beef production volumes, that will give an idea of the possibilities for beef market regulation. Consequently, the study objective can be defined: Identify factors affecting beef production in Latvia. For this research statistical methods, correlation analysis, induction, deduction, analysis and synthesis were used. These methods gave an accurate picture of factor
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de Casenave, Luis, and José E. Lugo. "Effects of Immersion on Virtual Reality Prototype Design Reviews of Mechanical Assemblies." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85542.

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The proficiency of Computer Aided Design (CAD) to save, communicate and render realistic virtual prototypes allows for easier communication and review of proposed design decisions via design reviews. However, the use of virtual prototypes is limited by the realism of the human computer interface. This paper builds on previous research investigating if increasing the realism of input and output interactions between subjects and virtual prototypes will affect user’s ability to analyze an assembly for errors. For this end, two experiments were conducted which asked participants to perform design
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Sora, Dorin, and Mădălina Doltu. "GRAFTED TOMATOES – ECOLOGICAL ALTERNATIVE FOR CHEMICAL DISINFECTION OF SOIL." In GEOLINKS International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/geolinks2020/b1/v2/21.

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This study aimed to identification of an ecological alternative for the chemical disinfection of soil in the greenhouses from Romania. Tomato (Solanum lycopersicum L.) is one of the most popular vegetable crops in the world. The carbohydrate, vitamins, salts of important mineral elements and organic acids content of tomato fruits is very important. Tomato crops are very sensitive to climatic vagaries, so fluctuation in climatic parameters at any phase of growth can affect the yield and the fruit quality. Grafting on Solanaceae is a method which has improved and spread quickly during the past y
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Doltu, Mădălina, Dorin Sora, and Vlad Bunea. "RESULTS OF SOME ROMANIAN TOMATO AND EGGPLANT CULTIVARS GRAFTED ONTO INTERSPECIFIC (GENUS LYCOPERSICON) ROOTSTOCK." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b1/v3/21.

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This experience aims at identifying an optimal rootstock for Romanian tomato and eggplant cultivars and the influence on plant yield and growth. These vegetables (tomato and eggplant) are very important crops worldwide and in Romania. Tomato and eggplant plants are very sensitive to climatic fluctuations and can affect fruit yield. Grafting on species from the Solanaceae family is a practice that increases productivity, fruit quality, resistance to diseases and pests, abiotic factors. The work was conducted at the Horting Research Institute, Romania. The biological material used was different
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MIEZĪTE, Olga, Ineta EGLĪTE, Solveiga LUGUZA, and Imants LIEPA. "HEIGHT INCREMENT OF NATURALLY REGENERATED YOUNG FOREST STANDS OF SCOTS PINE PINUS SYLVESTRIS L. IN MYRTILLOSA FOREST SITE TYPE." In Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.076.

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One of the most important stand productivity and competition indicators is height annual increment, which is affected by various factors such as soil preparation, initial density as well as various management risk factors. Empirical material for the research was collected in the northern part of Latvia. In four pure Scots pine stands in Myrtillosa forest site type 29 circular plots tree diameter, height and the last five years annual height increment was measured and visual state of health was described. The aim of this research is to analyse Scots pine height annual increment in naturally reg
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Doltu, Mădălina, Dorin Sora, Marian Bogoescu, and Veronica Tănasă. "IDENTIFICATION OF SOME CUCURBITACEOUS ROOTSTOCKS FOR VEGETABLE CROPS IN ROMANIA." In GEOLINKS International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/geolinks2020/b2/v2/05.

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This study aimed to identification of some rootstocks for cucurbitaceous vegetables and their influence on cultures. These vegetables (cucumber, watermelon, melon) are very popular crops in Romania. Vegetable crops are very sensitive to climatic vagaries, so fluctuation in climatic parameters at any phase of growth can affect the yield. Grafting on Cucurbitaceae is a method which has improved and spread quickly during the past years, a similar approach to crop rotation, a practice meant to increase productivity, resistance or tolerance to soil diseases and pests, as well as to abiotic factors
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Aggarwal, Kush, Ruth Jill Urbanic, Luv Aggarwal, and Syed Saqib. "Identifying Relative Importance of Input Parameter(s) for Developing Predictive Model for Laser Cladding Process." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37719.

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Laser cladding (LC) is a multi-variable coating process which consists of process multiple inputs and associated bead geometry outputs. Fabrication of a desired clad bead geometry configuration is expensive, as it involves investment of specialized raw materials, specialty equipment, and time resources. Hence, it is vital to determine factors/inputs that affect the overall physical bead geometry parameters (response variables), and the nature of the responses. The objective of this research is to identify the extent of the contribution of each factor and impact of their interactions on the out
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