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Published: 4 June 2021
Last updated: 2 February 2022

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1

Borah, D., and M. K. Baruah. "Electron transfer process." Fuel 78, no. 9 (July 1999): 1083–88. http://dx.doi.org/10.1016/s0016-2361(99)00021-6.

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2

Mujumdar, A. S. "Process Heat Transfer." Drying Technology 14, no. 7-8 (January 1996): 1907–8. http://dx.doi.org/10.1080/07373939608917186.

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3

Mamat, Sarizam Bin, Shinichi Tashiro, and Manabu Tanaka. "Observation of Metal Transfer in Plasma MIG Welding Process." QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY 35, no. 2 (2017): 33s—37s. http://dx.doi.org/10.2207/qjjws.35.33s.

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4

Kindzera, Diana, Roman Hosovskyi, Volodymyr Atamanyuk, and Dmytro Symak. "Heat Transfer Process During Filtration Drying of Grinded Sunflower Biomass." Chemistry & Chemical Technology 15, no. 1 (February 15, 2021): 118–24. http://dx.doi.org/10.23939/chcht15.01.118.

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Filtration drying of grinded sunflower stems as the unit operation of the technological line for solid biofuel production has been proposed. Theoretical aspects of heat transfer processes during filtration drying have been analyzed. The effect of the drying agent velocity increase from 0.68 to 2.05 m/s on the heat transfer intensity has been established. The values of heat transfer coefficients have been calculated on the basis of the thin-layer experimental data and equation . Calculated coefficients for grinded sunflower stems have been correlated by the dimensionless expression within Reynolds number range of and the equation has been proposed to calculate the heat transfer coefficients, that is important for forecasting the heat energy costs at the filtration drying equipment design stage.
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5

Kwan, M. Millie, and Pak-Keung Cheung. "The Knowledge Transfer Process." Journal of Database Management 17, no. 1 (January 2006): 16–32. http://dx.doi.org/10.4018/jdm.2006010102.

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6

Jaeger, Audrey J., and M. Kevin Eagan. "Navigating the Transfer Process." American Behavioral Scientist 55, no. 11 (October 11, 2011): 1510–32. http://dx.doi.org/10.1177/0002764211409383.

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Researchers are beginning to understand that there are some differential effects on students in relation to exposure to part-time faculty; one possible explanation may be differences depending on program area. This study explores whether exposure to part-time faculty differentially affects students’ likelihood of transferring across academic program areas. The findings confirm prior research identifying a negative relationship between students’ instructional time with part-time faculty and their probability of transferring from a community college to a 4-year institution; however, the results indicated no differential effects of exposure to part-time faculty depending on program area. As scholars highlight differences among part-time faculty depending on academic discipline, this research suggests that these differences do not translate into differential effects on students’ likelihood of transferring.
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7

Butterworth, David. "Process heat transfer 2010." Applied Thermal Engineering 24, no. 8-9 (June 2004): 1395–407. http://dx.doi.org/10.1016/j.applthermaleng.2003.11.023.

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8

MACHIDA, Hideo. "Image transfer. Image transfer by screen printing process." Circuit Technology 6, no. 1 (1991): 35–38. http://dx.doi.org/10.5104/jiep1986.6.35.

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9

OHNUKI, Hidebumi, and Ryo MANIWA. "Image transfer. Image transfer by photo printing process." Circuit Technology 6, no. 2 (1991): 94–102. http://dx.doi.org/10.5104/jiep1986.6.94.

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10

Douglas-Ntagha, Pamela Bernice. "Redesigning the transfer center process to adapt to increasing demands for services." Journal of Clinical Oncology 30, no. 34_suppl (December 1, 2012): 156. http://dx.doi.org/10.1200/jco.2012.30.34_suppl.156.

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156 Background: Hospitals are faced with limited resources and a need to provide care to patients with the greatest needs. Methods: Develop a systematic approach for accepting external transfers to the appropriate setting of care based on clinical criteria Initiate communication between external physicians and accepting MDA (MD Anderson) physicians and ICU physicians as appropriate Identify a process for documenting clinical information to ensure appropriate and timely transfers to MDA Ensure policies and procedures align with EMTALA regulation. Results: MDA ICU physicians involved in the initial decision, as appropriate External transfer acceptance based on bed availability MDA physician must be physically present to manage transfer, conduct evaluation and develop treatment plan Incorporate into procedure telephone communication with external physician, TC Medical Director, MDA accepting physician (ICU and Pedi physician as appropriate) Operational definitions for routine and urgent have been established Non-emergent transfers occur weekdays between the hours of 8AM and 5PM Transfer Acceptance Form to capture clinical information was developed. Conclusions: Problem 1: Suboptimal Communication Developed a TC form. During first eight months of operation we achieved 85% compliance with regards to documentation of transfer. Compliance continues to trend upward. Problem 2: Placement of Patients in Appropriate Care Settings Decreased utilization of MDA Emergency Center beds noted as external transfer to inpatient beds increased. Problem 3: Sporadic Arrival of Non-emergent Transfers The majority of after-hours (between 5PM and 8AM) transfers were routine and urgent prior to project. After the intervention, the number of routine and urgent after-hours transfer trended downwards. After-hour emergent transfers increased indicating appropriate utilization of beds for patients with the greatest needs. Problem 4: Lack of Systematic Screening and Documentation Retrospective medical record audits of 100% of emergent transfers were conducted by the TCMedical Directors in collaboration with the Director of Patient Resources. 97% of emergent transfers were confirmed as emergent on retrospective review.
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11

Simal, Susana, J. A. Cárcel, J. Bon, Á. Castell-Palou, and Carmen Rosselló. "Mass Transfer Modelling in an Acoustic-Assisted Osmotic Process." Defect and Diffusion Forum 258-260 (October 2006): 600–609. http://dx.doi.org/10.4028/www.scientific.net/ddf.258-260.600.

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Ultrasounds are mechanical waves that produce different effects when travelling through a medium, some related to mass transfer (i.e. microstirring at the interface, the so called "sponge effect" and cavitations). Thus, ultrasound appears to be a way to reduce both the internal and external resistances in osmotic food drying processes. In this study, the influence of the ultrasounds on water and solute transports during osmotic processes of drying is evaluated. Two different systems have been studied, apple slabs immersed in 30ºBrix sucrose solution, and pork loin slabs in sodium chloride saturated brine. The mathematical modelling of the mass transfers has been carried out by assuming diffusional mechanism and considering the mutual effect between the two mass transfers, the water losses and solute gains. The mass transfer curves in the osmotic process of apple drying in sucrose solution were satisfactorily simulated by using a diffusional model considering independent mass fluxes. Nevertheless, this model did not allow for the accurate simulation of the water losses in the system constituted by pork-loin in saline solution. When the mass fluxes were considered mutually affected, the simulation was accurate for both cases water and solute transfer.
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12

Skalle, Pål, Agnar Aamodt, and Odd Erik Gundersen. "Experience transfer for process improvement." Engineering Applications of Artificial Intelligence 26, no. 9 (October 2013): 2206–14. http://dx.doi.org/10.1016/j.engappai.2013.06.012.

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13

Lin, M. Y., M. J. Murphy, and H. T. Hahn. "Resin transfer molding process optimization." Composites Part A: Applied Science and Manufacturing 31, no. 4 (April 2000): 361–71. http://dx.doi.org/10.1016/s1359-835x(99)00054-8.

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14

Park, M., and M. V. Tretyakov. "Stochastic Resin Transfer Molding Process." SIAM/ASA Journal on Uncertainty Quantification 5, no. 1 (January 2017): 1110–35. http://dx.doi.org/10.1137/16m1096578.

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15

PRAVILOV, A. M., L. G. SMIRNOVA, and A. F. VILESOV. "THE ENERGY TRANSFER PROCESS [MATH]." Le Journal de Physique IV 01, no. C7 (December 1991): C7–592—C7–592. http://dx.doi.org/10.1051/jp4:19917159.

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16

O'Keefe, Timothy G., and Harold Marx. "An applied technology transfer process." Journal of Technology Transfer 11, no. 1 (September 1986): 83–88. http://dx.doi.org/10.1007/bf02178724.

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17

Furth, Priscilla A. "Gene transfer by biolistic process." Molecular Biotechnology 7, no. 2 (April 1997): 139–43. http://dx.doi.org/10.1007/bf02761749.

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18

Kang, Q., L. Duan, and W. R. Hu. "Mass transfer process during the NaClO3 crystal growth process." International Journal of Heat and Mass Transfer 44, no. 17 (September 2001): 3213–22. http://dx.doi.org/10.1016/s0017-9310(00)00353-7.

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19

Kopets, Miroslav M. ,. "Optimal Control of Heat Transfer Process." Journal of Automation and Information Sciences 46, no. 8 (2014): 27–37. http://dx.doi.org/10.1615/jautomatinfscien.v46.i8.40.

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20

Sasaki, T., T. Onishi, A. Sugiyama, S. Nasu, Y. Yoda, and T. Tomizawa. "Transfer Process Multiphysics Simulation in Electrophotography." Journal of Imaging Science and Technology 54, no. 3 (2010): 030505. http://dx.doi.org/10.2352/j.imagingsci.technol.2010.54.3.030505.

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21

Skjeldal, Sigmund, Runar Lundblad, and Reidar Dullerud. "Coracoid process transfer for acromioclavicular dislocation." Acta Orthopaedica 59, no. 2 (April 1, 1988): 180–82. http://dx.doi.org/10.3109/17453678809169704.

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22

Codner, Darío Gabriel, and Ramiro Martín Perrotta. "Blind Technology Transfer Process from Argentina." Journal of technology management & innovation 13, no. 3 (2018): 47–53. http://dx.doi.org/10.4067/s0718-27242018000300047.

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23

Lavagna, J., and A. L. Marnewick. "Power Pool Transfer Limits: Standardised Process." SAIEE Africa Research Journal 107, no. 4 (December 2016): 215–29. http://dx.doi.org/10.23919/saiee.2016.8532257.

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24

Ferguson, Stuart J. "Proton transfer: It’s a stringent process." Current Biology 10, no. 17 (September 2000): R627—R630. http://dx.doi.org/10.1016/s0960-9822(00)00662-x.

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25

Balasubramanian, M., Malepati Vineeth Choudary, A. Nagaraja, and Kesarla Om Charan Sai. "Cold metal transfer process – A review." Materials Today: Proceedings 33 (2020): 543–49. http://dx.doi.org/10.1016/j.matpr.2020.05.225.

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26

Harmon, Brian, Alexander Ardishvili, Richard Cardozo, Tait Elder, John Leuthold, John Parshall, Michael Raghian, and Donald Smith. "Mapping the university technology transfer process." Journal of Business Venturing 12, no. 6 (November 1997): 423–34. http://dx.doi.org/10.1016/s0883-9026(96)00064-x.

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27

Wolszczak, Marian, Ewa Hankiewicz, and Jerzy Kroh. "Polyelectrolyte effects on electron transfer process." Radiation Physics and Chemistry 49, no. 1 (January 1997): 167–73. http://dx.doi.org/10.1016/s0969-806x(96)00130-2.

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28

Dussauge-Laguna, Mauricio I. "Policy Transfer as a “Contested” Process." International Journal of Public Administration 36, no. 10 (August 2013): 686–94. http://dx.doi.org/10.1080/01900692.2013.791312.

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29

Miller, Alicia S. "The Admission, Transfer, and Discharge Process." Hospital Pharmacy 37, no. 1 (January 2002): 96–99. http://dx.doi.org/10.1177/001857870203700111.

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30

Diaz, Victor Vergara, Jair Carlos Dutra, and Ana Sofia Climaco Monteiro D'Oliveira. "Hardfacing by plasma transfer arc process." Welding International 26, no. 2 (February 2012): 87–95. http://dx.doi.org/10.1080/09507116.2010.527486.

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31

Macaulay, Cathlin, and Viviene E. Cree. "Transfer of learning: concept and process." Social Work Education 18, no. 2 (June 1999): 183–94. http://dx.doi.org/10.1080/02615479911220181.

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32

Jog, M. A., I. M. Cohen, and P. S. Ayyaswamy. "Heat Transfer in Wire Bonding Process." Journal of Electronic Packaging 116, no. 1 (March 1, 1994): 44–48. http://dx.doi.org/10.1115/1.2905492.

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We have analyzed an electric discharge between wire and planar electrodes with wire diameter and current densities that are typically used in upscaled experimental simulations of the wire bonding process employed in microelectronic manufacturing. A set of continuum conservation equations has been solved to obtain the variation of electric potential, temperature distributions, and the electrode heat fluxes. Results indicate that the main body of the discharge is quasineutral bounded by space charge sheaths at both electrodes. Strong electric fields are concentrated in the electrode sheaths. The heat flux to the wire is sharply peaked near the wire tip but on the plane it decays slowly away from the discharge axis. The model studied here may be used to establish optimum discharge parameters for wire bonding.
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33

Beke, Tamas. "Heat transfer in a thermoacoustic process." European Journal of Physics 33, no. 6 (August 29, 2012): 1487–503. http://dx.doi.org/10.1088/0143-0807/33/6/1487.

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34

LaBelle Oliver, Monica. "The transfer process: Implications for evaluation." New Directions for Evaluation 2009, no. 124 (December 2009): 61–73. http://dx.doi.org/10.1002/ev.314.

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35

FERRIS, BARRY D., MANJIT BHAMRA, and DAVID F. PATON. "Coracoid Process Transfer for Acromioclavicular Dislocations." Clinical Orthopaedics and Related Research &NA;, no. 242 (May 1989): 184???187. http://dx.doi.org/10.1097/00003086-198905000-00018.

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36

Ctein. "The Dye Transfer Color Print Process." Optics and Photonics News 13, no. 10 (October 1, 2002): 22. http://dx.doi.org/10.1364/opn.13.10.000022.

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37

ZHEN, YIN. "DYNAMIC THEORY OF ELECTRON TRANSFER PROCESS." Modern Physics Letters B 02, no. 05 (June 1988): 743–52. http://dx.doi.org/10.1142/s0217984988000448.

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Based on time-dependent Hartree-Fork approximation, we have developed a new technique for dealing with non-adiabatic electron transfer process and also obtained the formula for finding consistently the effective adiabatic parameter and the transition probability. Comparing to Landau-Zener theory our results indicate that the transition probability is greatly influenced by the coupling between the electron and the heat-bath. As the initial state of the electron is in the ground state, interaction between the electron and the heat-bath reduces the transition probability between the electron states. This can be explained that the transition probability from covalent to ionic state in a solute reaction system goes down due to the influence of the solvent. As the initial state of the electron is in the excited state, the coupling to the heat-bath acts to enhance the transition probability between the electron states. This can elucidate that desorption probability decreases in the process of the electron stimulated desorption in virtue of the heat-bath.
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38

Zhang, G. P., R. T. Fu, X. Sun, D. L. Lin, and Thomas F. George. "Relaxation process of charge transfer inC60." Physical Review B 50, no. 16 (October 15, 1994): 11976–80. http://dx.doi.org/10.1103/physrevb.50.11976.

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39

Ofrikhter, Ian, Alexander Zaharov, Andrey Ponomaryov, and Natalia Likhacheva. "Modeling heat transfer process in soils." MATEC Web of Conferences 251 (2018): 02048. http://dx.doi.org/10.1051/matecconf/201825102048.

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In this paper, a new model is presented for calculating the thermal conductivity of soils, and the main provisions for the derivation of analytical formulas are given. The presented model allows taking into account the density, moisture content and temperature of the soil base. The technique presented in the paper makes it possible to dispense with laborious experiments to estimate the thermal conductivity of the soil. The method of analytical calculation is step by step presented in the paper. Two variants of using the method are proposed: 1) Less accurate method, for preliminary evaluation, without the need to take probe and conduct experiments. 2) More accurate method, with at least one experiment with a disturbed or undisturbed sample. The results of comparison of calculated values of thermal conductivity and experimental data are presented.
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40

Collivignarelli, Maria Cristina, Alessandro Abbà, and Giorgio Bertanza. "Oxygen transfer improvement in MBBR process." Environmental Science and Pollution Research 26, no. 11 (February 18, 2019): 10727–37. http://dx.doi.org/10.1007/s11356-019-04535-1.

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41

Fishkis, M. "Metal transfer in the sliding process." Wear 127, no. 1 (October 1988): 101–10. http://dx.doi.org/10.1016/0043-1648(88)90055-5.

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42

Fawcett, Paul, and David Marsh. "Policy Transfer and Policy Success: The Case of the Gateway Review Process (2001–10)." Government and Opposition 47, no. 2 (2012): 162–85. http://dx.doi.org/10.1111/j.1477-7053.2011.01358.x.

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AbstractPolicy transfer has become a crucial aspect of the contemporary world of policy-making. However, the relationship between the actual process of policy transfer and the ‘success’ of policy outcomes generated by that transfer is an under-researched area. This article addresses the following key question: what factors affect the success, or otherwise, of policy transfer? This question is explored using a putatively successful case of policy transfer, the Gateway Review process between 2001 and 2010, focusing particularly on three of the early transfers of this process from the UK to Victoria and then to the Commonwealth level and New South Wales in Australia.
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43

WU, Jilan, and Shanshan SHANG. "Modelling tacit knowledge transfer in MOOCs: Simulations on the transfer process." HKIE Transactions 26, no. 3 (September 27, 2019): 126–35. http://dx.doi.org/10.33430/v26n3thie-2018-0036.

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Massive Open Online Courses (MOOCs) are massive large-scale open online resources provided by famous universities or organisations by which anybody can take the courses anywhere through internet connection for free. The implementation of MOOCs in universities shows a new form of learning. Considering that tacit knowledge plays a very important role in learning, this paper discusses the tacit knowledge transfer process in MOOCs. A useful system dynamics model to analyse which factors impact the tacit knowledge transfer effect is proposed in this research. A simulation method is used to illustrate the relation between transfer effect and these factors through sensitivity analysis. The results show that transfer effect increases with the circulation of the platform and technology advances of MOOCs, but the rate of growth has changed from high to low. The research mainly aims to guide the design and operation of MOOCs and other e-learning platforms.
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44

Pandey, Kanak, Himanshu Joshi, Sonia Paliwal, Shikha Pawar, and Navin Kumar. "Technology Transfer: An Overview of Process Transfer From Development to Commercialization." International Journal of Current Research and Review 12, no. 19 (2020): 188–92. http://dx.doi.org/10.31782/ijcrr.2020.121913.

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45

Maniruzzaman, M., and R. D. Sisson. "Heat transfer coefficients for quenching process simulation." Journal de Physique IV 120 (December 2004): 269–76. http://dx.doi.org/10.1051/jp4:2004120031.

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Quenching heat treatment in a liquid medium is a very complex heat transfer process. Heat extraction from the part surface occurs through several different heat transfer mechanisms in distinct temperature ranges, namely, film boiling, partial film boiling (i.e. transition), nucleate boiling and convection. The maximum heat transfer occurs during the nucleate boiling stage. Experimental study shows that, the effective surface heat transfer coefficient varies more than two orders of magnitude with the temperature during the quenching. For quenching process simulation, accurate prediction of the time-temperature history and microstructure evolution within the part largely depends on the accuracy of the boundary condition supplied. The heat transfer coefficient is the most important boundary condition for process simulation. This study focuses on creating a database of heat transfer coefficients for various liquid quenchant-metallic alloy combinations through experimentation using three different quench probes. This database is a web-based tool for use in quench process simulation. It provides at-a-glance information for quick and easy analysis and sets the stage for a Decision Support System (DSS) and Data Mining for heat-treating process.
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46

Maniruzzaman, M., and R. D. Sisson. "Heat transfer coefficients for quenching process simulation." Journal de Physique IV 120 (December 2004): 521–28. http://dx.doi.org/10.1051/jp4:2004120060.

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Quenching heat treatment in a liquid medium is a very complex heat transfer process. Heat extraction from the part surface occurs through several different heat transfer mechanisms in distinct temperature ranges, namely, film boiling, partial film boiling (i.e. transition), nucleate boiling and convection. The maximum heat transfer occurs during the nucleate boiling stage. Experimental study shows that, the effective surface heat transfer coefficient varies more than two orders of magnitude with the temperature during the quenching. For quenching process simulation, accurate prediction of the time-temperature history and microstructure evolution within the part largely depends on the accuracy of the boundary condition supplied. The heat transfer coefficient is the most important boundary condition for process simulation. This study focuses on creating a database of heat transfer coefficients for various liquid quenchant-metallic alloy combinations through experimentation using three different quench probes. This database is a web-based tool for use in quench process simulation. It provides at-a-glance information for quick and easy analysis and sets the stage for a Decision Support System (DSS) and Data Mining for heat-treating process.
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47

Häggström, Marie, Kenneth Asplund, and Lisbeth Kristiansen. "Important quality aspects in the transfer process." International Journal of Health Care Quality Assurance 27, no. 2 (March 3, 2014): 123–39. http://dx.doi.org/10.1108/ijhcqa-09-2012-0090.

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Purpose – Admission to and transfer from an intensive care unit affects not only the patient but also his or her relatives. The authors aimed to investigate relatives' perceptions of quality of care during a patient's transfer process from an intensive care unit to a general ward. Design/methodology/approach – The study had a mixed method design that included quantitative data and answers to open questions. The participants were 65 relatives of patients who received care in an ICU. They were recruited from two hospitals in Sweden. Findings – A majority perceived the transfer process as important, but analysis also showed that the participants rated it as an area for improvements. The relatives wanted participation, personal insight and control, respectful encounters, proximity, reassurance, continuous quality, reconnection and feedback. The relatives' participation in the transfer process was perceived as inadequate by 61 per cent, and the support that was received after the ICU discharge was perceived as inadequate by 53 per cent. The patients' length of stay in the ICU affected the relatives' perceptions of the quality of care. Overall, the relatives seemed to desire that the transfer process includes a continuous care, a competent staff, available information throughout the transfer process and personal involvement in the care, both before and after the transfer from the ICU. Research limitations/implications – The conclusion of this study is that relatives' needs and seeking for a well-planned ICU transitional process organisation with continuous quality before and after transfer, informational strategies that encourage the relatives to be involved and an organisation with competence throughout the healthcare chain are vital for quality. Practical implications – The conclusion of this study is that relatives' needs and seeking for a well-planned ICU transitional process organisation with continuous quality before and after transfer, informational strategies that encourage the relatives to be involved and an organisation with competence throughout the healthcare chain are vital for quality. Originality/value – The findings have important implications for nursing and nursing management. A relative's perception of the quality of care before and after transfer from ICU may be a valuable source to evaluate the ICU transitional care.
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48

Semenyshyn, Yevgen, Volodymyr Atamanyuk, Tetiana Rymar, Oleksandr Ivashchuk, and Anna Hlukhaniuk. "Mass Transfer in the Solid-Liquid System: Mechanism and Kinetics of the Extraction Process." Chemistry & Chemical Technology 14, no. 1 (February 20, 2020): 121–28. http://dx.doi.org/10.23939/chcht14.01.121.

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49

Emry, Marvin E., Deanna R. Settelmeyer, Leah P. McMann, and Susan G. Hopkinson. "Improving the Efficiency of a Military Treatment Facility Transfer Center Process." Military Medicine 185, no. 7-8 (June 22, 2020): e995-e1001. http://dx.doi.org/10.1093/milmed/usaa097.

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Abstract Introduction A performance improvement project was initiated at Tripler Army Medical Center (TAMC) to decrease the amount of inpatient stays by military beneficiaries at civilian hospitals. Before the start of the project, the transfer process from external emergency rooms was completed by patient administration personnel and residents. This process had a median time to disposition decision of 40 minutes and led to missed opportunities for TAMC to care for military beneficiaries. The goals for the project were to have the median transfer process at less than 30 minutes from first call to time of disposition, to minimize unnecessary transfer denials, and to improve the perception of TAMC transfer process. Materials and Methods The team implemented multiple countermeasures as a performance improvement project to improve the transfer process. These included enhancing technological capabilities, providing clinically trained personnel to answer initial telephone calls, establishing rapid attending physician contact for acceptance, and standardizing data collection. Descriptive data were used to describe the progress toward project goals to include median time to disposition, number of monthly calls, and reasons for denials of patient transfers. Results The project met all proposed goals. The median time to disposition decision was reduced to 22 minutes. The primary reasons for denials included that the transfer was considered medically unnecessary (40.6%), no beds were available (18.9%), and the patient was unstable for transport (14.9%). As a reflection of improved customer service, there was an overall increase in transfer requests and positive feedback from the referring physicians at the local civilian hospitals. Conclusion The improved transfer process at TAMC resulted in a decreased median time of transfer request process, increased total transfer requests, and improved relationships with local civilian hospitals. While we acknowledge that each MTF has facility and regional characteristics (such as capability, capacity, military staffing, and degree of availability of civilian healthcare resources) that may contribute to variation from TAMC, the concepts and changes made in the transfer process may be considered a best practice to be adopted by other military facilities to promote the recapture of beneficiaries into the Defense Health Agency system.
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50

Hirai, Yoshihiko. "Process Physics of De-Molding Process in Fine Pattern Transfer Molding." Seikei-Kakou 25, no. 4 (March 20, 2013): 165–70. http://dx.doi.org/10.4325/seikeikakou.25.165.

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