scholarly journals About Model Validation in Bioprocessing

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 961
Author(s):  
Vignesh Rajamanickam ◽  
Heiko Babel ◽  
Liliana Montano-Herrera ◽  
Alireza Ehsani ◽  
Fabian Stiefel ◽  
...  
Keyword(s):  
Model Validation ◽  
Model Uncertainties ◽  
Comprehensive Overview ◽  
Bioprocess Modeling ◽  
Starting Point ◽  
Different Types ◽  
Best Fitting ◽  
Model Training ◽  
Combination Of Methods ◽  
Use Of Models

In bioprocess engineering the Qualtiy by Design (QbD) initiative encourages the use of models to define design spaces. However, clear guidelines on how models for QbD are validated are still missing. In this review we provide a comprehensive overview of the validation methods, mathematical approaches, and metrics currently applied in bioprocess modeling. The methods cover analytics for data used for modeling, model training and selection, measures for predictiveness, and model uncertainties. We point out the general issues in model validation and calibration for different types of models and put this into the context of existing health authority recommendations. This review provides a starting point for developing a guide for model validation approaches. There is no one-fits-all approach, but this review should help to identify the best fitting validation method, or combination of methods, for the specific task and the type of bioprocess model that is being developed.

Crystal structure images of large gold clusters and growing crystals by HRTEM

1984 ◽  
Vol 42 ◽  
pp. 428-429
Author(s):  
L.R. Wallenberg ◽  
J.-O. Bovin ◽  
G. Schmid
Keyword(s):  
Crystal Structure ◽  
Nucleation And Growth ◽  
Close Packing ◽  
Gold Clusters ◽  
Molecular Weight Determination ◽  
Growth Mechanisms ◽  
Starting Point ◽  
Different Types ◽  
Nucleation And Growth Mechanisms ◽  
Points Of View

Metallic clusters are interesting from various points of view, e.g. as a mean of spreading expensive catalysts on a support, or following heterogeneous and homogeneous catalytic events. It is also possible to study nucleation and growth mechanisms for crystals with the cluster as known starting point.Gold-clusters containing 55 atoms were manufactured by reducing (C6H5)3PAuCl with B2H6 in benzene. The chemical composition was found to be Au9.2[P(C6H5)3]2Cl. Molecular-weight determination by means of an ultracentrifuge gave the formula Au55[P(C6H5)3]Cl6 A model was proposed from Mössbauer spectra by Schmid et al. with cubic close-packing of the 55 gold atoms in a cubeoctahedron as shown in Fig 1. The cluster is almost completely isolated from the surroundings by the twelve triphenylphosphane groups situated in each corner, and the chlorine atoms on the centre of the 3x3 square surfaces. This gives four groups of gold atoms, depending on the different types of surrounding.

Gathering Evidence: The Basics

2018 ◽  
Author(s):  
Jacqueline M. Dewar
Keyword(s):  
Teaching And Learning ◽  
Qualitative Data ◽  
Numerical Data ◽  
Scholarship Of Teaching ◽  
What Works ◽  
Starting Point ◽  
Different Types ◽  
Gathering Data

Chapter 4 provides an introduction to gathering data for scholarship of teaching and learning (SoTL) investigations, including the importance of triangulation, that is, collecting several different types of evidence. Examples are given of typical kinds of quantitative (numerical) and qualitative (non-numerical) data that might be used in a SoTL study. That quantitative and qualitative data are more closely related than it might seem at first is discussed. The taxonomy of SoTL questions—What works? What is? What could be?—provides a starting point for considering what type of data to collect. Suggestions are offered for ways to design assignments so that the coursework students produce can also serve as evidence, something that benefits both students and their instructor.

scholarly journals Nothing but hot air?—On the molecular ballistic analysis of backspatter generated by and the hazard potential of blank guns

2021 ◽  
Author(s):  
Jan Euteneuer ◽  
Annica Gosch ◽  
Cornelius Courts
Keyword(s):  
Correct Identification ◽  
Str Typing ◽  
Comprehensive Overview ◽  
Biological Investigation ◽  
Biological Targets ◽  
Hazard Potential ◽  
Hot Air ◽  
Different Types ◽  
Blank Cartridge ◽  
Blank Cartridges

AbstractBlank cartridge guns are prevalent especially in countries with laws restricting access to conventional firearms, and it is a common misconception that these weapons are harmless and only used as toys or for intimidation. However, although their harming potential is well-documented by numerous reports of accidents, suicides, and homicides, a systematic molecular biological investigation of traces generated by shots from blank cartridges at biological targets has not been done so far. Herein, we investigate the occurrence and analyzability of backspatter generated by shots of different types of blank cartridge guns firing different types of blank ammunition at ballistic gelatin model cubes doped with human blood and radiological contrast agent soaked into a spongious matrix and covered with three different variants of skin simulants. All skin simulants were penetrated, and backspatter was created in 100% of the shots in amounts sufficient for forensic short tandem repeat (STR) typing that resulted in the correct identification of the respective blood donor. Visible backspatter was documented on the muzzle and/or inside the barrel in all cases, and in 75% of cases also on the outer surfaces and on the shooter’s hand(s). Wound cavities were measured and ranged between 1 and 4.5 cm in depth. Discussing our findings, we provide recommendations for finding, recovering, and analyzing trace material from blank guns, and we demonstrate the considerable hazard potential of these devices, which is further emphasized by the presentation of a comprehensive overview of the pertinent literature on injuries inflicted by blank guns.

scholarly journals CNN BASED DETECTION OF BUILDING ROOFS FROM HIGH RESOLUTION SATELLITE IMAGES

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 187-192
Author(s):  
L. Hang ◽  
G. Y. Cai
Keyword(s):  
High Resolution ◽  
Residential Building ◽  
Training Image ◽  
Training Dataset ◽  
Classification Approach ◽  
Object Based ◽  
High Resolution Satellite Images ◽  
Different Types ◽  
Model Training ◽  
Very High

Abstract. The detection and reconstruction of building have attracted more attention in the community of remote sensing and computer vision. Light detection and ranging (LiDAR) has been proved to be a good way to extract building roofs, while we have to face the problem of data shortage for most of the time. In this paper, we tried to extract the building roofs from very high resolution (VHR) images of Chinese satellite Gaofen-2 by employing convolutional neural network (CNN). It has been proved that the CNN is of a higher capability of recognizing detailed features which may not be classified out by object-based classification approach. Several major steps are concerned in this study, such as generation of training dataset, model training, image segmentation and building roofs recognition. First, urban objects such as trees, roads, squares and buildings were classified based on random forest algorithm by an object-oriented classification approach, the building regions were separated from other classes at the aid of visually interpretation and correction; Next, different types of building roofs mainly categorized by color and size information were trained using the trained CNN. Finally, the industrial and residential building roofs have been recognized individually and the results have been validated individually. The assessment results prove effectiveness of the proposed method with approximately 91% and 88% of quality rates in detection industrial and residential building roofs, respectively. Which means that the CNN approach is prospecting in detecting buildings with a very higher accuracy.

Trust, risk and transaction intention in consumer-to-consumer e-marketplaces

2019 ◽  
Vol 119 (2) ◽  
pp. 331-350 ◽  
Author(s):  
Kangning Wei ◽  
Yuzhu Li ◽  
Yong Zha ◽  
Jing Ma
Keyword(s):  
Qualitative Study ◽  
Perceived Risk ◽  
Design Methodology ◽  
Future Research ◽  
Trust Building ◽  
Content Type ◽  
Online Transactions ◽  
Starting Point ◽  
Different Types ◽  
Practical Implications

Purpose The purpose of this paper is to compare the relative impacts of trust and risk on individual’s transaction intention in consumer-to-consumer (C2C) e-marketplaces from both the buyers’ and the sellers’ perspectives. Design/methodology/approach Two surveys were used to collect data regarding buyers’ and sellers’ perceptions and transaction intentions at a typical C2C e-marketplace. Partial least squares was used to analyze the data. A complementary qualitative study was conducted to triangulate the results from the quantitative study. Findings Institution-based trust (IBT) exerts a stronger influence on transaction intentions for buyers than for sellers. Sellers perceive a stronger impact of trust in intermediary (TII) than buyers on transaction intentions. The impacts of perceived risk in transactions are not different between buyers and sellers. Furthermore, IBT mediates the impacts of TII and perceived risk on transaction intentions for buyers. Research limitations/implications The results indicate that the impacts of trust and risk on transaction intention in e-marketplaces do differ between buyers and sellers. This suggests a need to further investigate the buyer–seller difference in online transactions. Practical implications Intermediaries need to focus on different types of trust-building mechanisms when attracting buyers and sellers to make transactions in the e-marketplace. Originality/value C2C e-marketplaces cannot survive without participation from both buyers and sellers. Most prior research is conducted from the buyers’ perspective. This research sets a starting point for future research to further explore the differences between buyers’ and sellers’ behavior in C2C e-commerce environments.

New methods of metaphor identification in various types of discourse (Review of publications)

2021 ◽  
Vol 1 (6) ◽  
pp. 19-31
Author(s):  
Peter M. Shitikov ◽  
◽  
Svetlana V. Vershinina
Keyword(s):  
Corpus Linguistics ◽  
Large Scale ◽  
Historical Background ◽  
Great Success ◽  
Research Groups ◽  
Identification Procedure ◽  
New Methods ◽  
Starting Point ◽  
Different Types ◽  
Theoretical Foundations

This article presents a review of the latest procedures for identifying metaphor in multilingual texts and different types of discourse. The choice of methods for identifying and decoding metaphorical expressions is the starting point of any research in the field of metaphorology. With the development of corpus linguistics methods, the volume of analyzed material has grown thousands of times. So, the identification of linguistic expressions in discourse that realize conceptual metaphors has become one of the most challenging issues of modern metaphorology. The paper describes theoretical foundations and historical background for the solution of this issue. It is shown that it is impossible to verify this or that method without a large-scale approbation; in this connection, the developments of research groups (PALASIGMET, PRAGGLEJAZ) proved to be the most perspective. The MIP (metaphor identification procedure) was finalized in the metaphor laboratory of the Free University of Amsterdam with the name MIPVU. This methodology was a great success all over the world, however, in Russia only a few articles of introductory character have appeared. This article summarizes the experience of applying the procedures of metaphor identification in different languages and types of discourse.

PEOPLE WITH INTELLECTUAL DISABILITY COMPARED TO OTHER TYPES OF DISABILITIES

2021 ◽  
Vol 571 (10) ◽  
pp. 23-28
Author(s):  
Elżbieta Zakrzewska-Manterys
Keyword(s):  
Intellectual Disabilities ◽  
Public Support ◽  
People With Disabilities ◽  
Well Being ◽  
Support Needs ◽  
Disabled People ◽  
Specific Group ◽  
Starting Point ◽  
Different Types ◽  
People With Intellectual Disabilities

Disability is a wide concept, encompassing different types of disability, different capabilities of people with disabilities and different social support needs. People with intellectual disabilities belong to a specific group. They do not fit into the mainstream of support and activation measures for disabled people. Although they are a small group (about 1%), they require care which is not provided within the current social policy towards people with disabilities. The article provides examples of public activities unfavourable and favourable for the well-being of people with intellectual disabilities. This could be a starting point for a preparation of a policy project of accurate public support for this group of people

Brands, Fans, and Exchanges

2022 ◽  
pp. 1-19
Author(s):  
Breanna M. Todd ◽  
Catherine Anne Armstrong Soule
Keyword(s):  
Social Status ◽  
Pop Culture ◽  
Two Dimensions ◽  
Brand Community ◽  
Community Based ◽  
Relationship Type ◽  
Brand Communities ◽  
Starting Point ◽  
Different Types ◽  
Rich History

Although fandom has a rich history within pop culture, it is difficult to know what constitutes a fandom, what differentiates fandoms from similar phenomena as well as what different types of fandoms exist and how fandoms are formed and maintained. In this chapter, the authors define fandom and the related member actions that create and maintain fandoms, as well as delineate the concept from the similar fan-brand communities of transactional brand communities, social brand communities and brand publics. A typology for fan-brand communities is presented with two dimensions: 1) motivation for engagement; and 2) social status and relationship type. This typology can help guide researchers, brands, and marketers in effectively managing different subcultures of fans. This chapter may be used as a starting point for further understanding of fan-brand community-based relationships.

scholarly journals A Meta-Learning Approach for Custom Model Training

2019 ◽  
Vol 33 ◽  
pp. 9937-9938
Author(s):  
Amir Erfan Eshratifar ◽  
Mohammad Saeed Abrishami ◽  
David Eigen ◽  
Massoud Pedram
Keyword(s):  
Transfer Learning ◽  
Large Data ◽  
Learning Approaches ◽  
Target Task ◽  
Training Approach ◽  
Starting Point ◽  
Meta Learning ◽  
Future Task ◽  
Model Training ◽  
Training Examples

Transfer-learning and meta-learning are two effective methods to apply knowledge learned from large data sources to new tasks. In few-class, few-shot target task settings (i.e. when there are only a few classes and training examples available in the target task), meta-learning approaches that optimize for future task learning have outperformed the typical transfer approach of initializing model weights from a pretrained starting point. But as we experimentally show, metalearning algorithms that work well in the few-class setting do not generalize well in many-shot and many-class cases. In this paper, we propose a joint training approach that combines both transfer-learning and meta-learning. Benefiting from the advantages of each, our method obtains improved generalization performance on unseen target tasks in both few- and many-class and few- and many-shot scenarios.

scholarly journals Operability and Technical Implementation Issues Related to Heat Integration Measures—Interview Study at an Oil Refinery in Sweden

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3478 ◽  
Author(s):  
Sofie Marton ◽  
Elin Svensson ◽  
Simon Harvey
Keyword(s):  
Heat Exchanger ◽  
Heat Recovery ◽  
Early Stage ◽  
Oil Refinery ◽  
Practical Implementation ◽  
Heat Integration ◽  
Heat Exchanger Network ◽  
Comprehensive Overview ◽  
Relative Significance ◽  
Different Types

In many energy-intensive industrial process plants, significant improvements in energy efficiency can be achieved through increased heat recovery. However, retrofitting plants for heat integration purposes can affect process operability. The aim of this paper is to present a comprehensive overview of such issues by systematically relating different types of heat recovery retrofit measures to a range of technical barriers associated with process operability and practical implementation of the measures. The paper presents a new approach for this kind of study, which can be applied in the early-stage screening of heat integration retrofit measures. This approach accounts for the importance of a number of selected operability factors and their relative significance. The work was conducted in the form of a case study at a large oil refinery. Several conceptual heat exchanger network retrofit design proposals were prepared and discussed during semi-structured interviews with technical staff at the refinery. The results show that many operability and practical implementation factors, such as spatial limitations, pressure drops and non-energy benefits, influence the opportunities for implementation of different types of heat exchanger network retrofit measures. The results indicate that it is valuable to consider these factors at an early stage when designing candidate heat exchanger network retrofit measures. The interview-based approach developed in this work can be applied to other case studies for further confirmation of the results.

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