1,720,985 research outputs found
Effects of viscosity and agitation rate on temperature and flow field in cans during reciprocal agitation
A new canning process with a reciprocal agitation has been introduced recently. In this process, agitation with rapid back and forth motion of containers increases heat transfer rate by imposing additional external forces. In this process, balance between reciprocal agitation and buoyancy and viscous forces enable shorter process time leading to increased quality retention due to the considerable increase in temperature. Viscous forces are additional to affect this balance. Therefore, the objectives of this study were to determine the effect of viscosity on the evolution of temperature and flow field in a reciprocal agitation system and to determine the optimum agitation rates. For this purpose, an experimentally validated multi-phase model developed in a non-inertial reference frame of moving mesh was used. The simulations were carried out for a 98.2 × 115 mm can containing distilled water (low viscosity Newtonian case) and high viscosity non-Newtonian liquids with 2% headspace at reciprocal agitation rates from 20 to 140 rpm. An optimum agitation rate was calculated based on the change in Froude and Taylor numbers to compare agitation effects with gravitational and viscous effects. A significant effect of viscosity on temperature distribution was also presented. The results of this study might be used to optimize the process for improving retention of nutrients and health-promoting compounds of processed foods
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
A solar air heater system design for air handling units and domestic hot water
Tez çalışmasında temsili bir binada kullanılan bir güneş enerjili hava ısıtıcı (SAH) sistemi için boyutlandırma optimizasyonu yapılmıştır. Bu çalışma beş farklı yöntemi içermektedir: bina enerji modellemesi (BEM), hesaplamalı akışkanlar dinamiği (CFD), deney tasarımı (DOE), yanıt yüzey yöntemi (RSM) ve çok amaçlı genetik algoritma (MOGA). BEM üç amaç için kullanılır: optimum panel alanının belirlenmesi, iklim-sistem uygunluğunun analizi ve yaz-kış modu için SAH'ın incelenmesi. Birinci bölümde, SAH panelinin belirli bir boyutun üzerinde büyütülmesinin önemli bir fayda sağlamadığı ortaya konmuş ve bu bulgudan hareketle optimal panel alanı belirlenmiştir. Tezin ikinci bölümünde, Köppen iklim kuşağı sistemine göre seçilen dünyanın altı farklı bölgesi için SAH sisteminden elde edilen enerjiyi hesaplamak için saatlik hesaplamalar daha da genişletilmiştir. Binaya entegre SAH sistemlerinin kullanımının, güneş ışınımının fazla olduğu ve iklimin soğuk olduğu bölgelerde daha uygun olduğu hesaplanmıştır. Tezin üçüncü bölümünde, SAH sisteminin kullanım sıcak suyu ve klima santrali ısıtması için kullanılmasına olanak sağlayan sistem tasarımı incelenmiştir. Sonuçlar, sistemin bu tasarımla geleneksel panellere göre daha verimli kullanılabileceğini ortaya koymaktadır. Tezin son bölümünde, üç panel parametresinin boyutlandırma optimizasyonu için CFD, DOE, RSM ve MOGA yöntemlerinin bir kombinasyonu kullanılmıştır: panel derinliği, oluk derinliği ve yan giriş çapı. Elde edilen sonuçlara göre, panel verimi üzerinde en etkili parametre oluk derinliği olup, düz yüzeylere göre verim artışına neden olmaktadır. İkinci etkili parametre, azaldıkça hava hızının ve türbülansın artmasına neden olan panel derinliğidir. Hızdaki artış olumsuz etkilerken, türbülans verimlilik için olumlu bir faktör olarak hareket eder. Bu nedenle, optimum panel derinliği boyutu bu faktörler dikkate alınarak hesaplanır. Yan giriş çapı daha az etkiye sahiptir ve türbülans ve panel alanı etkileri dikkate alınarak bu parametrenin optimum boyutu belirlenir. Birleşik parametre grafikleri RSM ile üretilir ve boyutlandırma optimizasyonu MOGA ile yapılır.In the thesis study, dimensioning optimization is performed for a solar air heater (SAH) system utilized in a representative building. This study incorporates five different methods: building energy modeling (BEM), computational fluid dynamics (CFD), design of experiment (DOE), response surface method (RSM), and multi-objective genetic algorithm (MOGA). BEM is used for three purposes: determining optimal panel area, analysis of climate-system appropriateness, and examination of SAH for summer-winter mode. In the first part, it is revealed that beyond a certain size, enlarging the SAH panel does not yield significant benefits and based on this finding, the optimal panel area is determined. In the second part of the thesis, the hourly calculations are further extended to compute the obtained energy of the SAH system for six different regions of the world, selected according to the Köppen climate zone system. It is computed that the usage of buildingintegrated SAH systems is more suitable in regions with high solar radiation and cold climates. In the third part of the thesis, the system design that allows for the utilization of the SAH system for domestic hot water and air handling unit heating is analyzed. The outcomes reveal that the system can be more effectively utilized with this design compared to conventional panels. In the final part of the thesis, a combination of CFD, DOE, RSM, and MOGA methods is employed for the dimensioning optimization of three-panel parameters: panel depth, corrugation depth, and side inlet diameter. According to the results, corrugation depth is the most influential parameter on panel efficiency, leading to an increase in efficiency compared to flat surfaces. The second effective parameter is panel depth, which results in increased air velocity and turbulence as it decreases. While the increase in velocity has a negative impact, turbulence acts as a beneficial factor for efficiency. Therefore, the optimal panel depth dimension is computed by considering these factors. Side inlet diameter has less effect and the optimum size of this parameter is determined by considering the turbulence and panel area effects. The combined parameter graphs are generated with RSM, and dimensioning optimization is conducted with MOGA
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
- …
