scholarly journals New methods for investigating slag heaps: Integrating geoprospection, excavation and quantitative methods at Meroe, Sudan

2016 ◽  
Vol 70 ◽  
pp. 132-144 ◽  
Author(s):  
Jane Humphris ◽  
Chris Carey
2013 ◽  
Vol 79 (19) ◽  
pp. 5978-5987 ◽  
Author(s):  
Robert Almstrand ◽  
Holger Daims ◽  
Frank Persson ◽  
Fred Sörensson ◽  
Malte Hermansson

ABSTRACTIn biofilms, microbial activities form gradients of substrates and electron acceptors, creating a complex landscape of microhabitats, often resulting in structured localization of the microbial populations present. To understand the dynamic interplay between and within these populations, quantitative measurements and statistical analysis of their localization patterns within the biofilms are necessary, and adequate automated tools for such analyses are needed. We have designed and applied new methods for fluorescencein situhybridization (FISH) and digital image analysis of directionally dependent (anisotropic) multispecies biofilms. A sequential-FISH approach allowed multiple populations to be detected in a biofilm sample. This was combined with an automated tool for vertical-distribution analysis by generatingin silicobiofilm slices and the recently developed Inflate algorithm for coaggregation analysis of microbial populations in anisotropic biofilms. As a proof of principle, we show distinct stratification patterns of the ammonia oxidizersNitrosomonas oligotrophasubclusters I and II and the nitrite oxidizerNitrospirasublineage I in three different types of wastewater biofilms, suggesting niche differentiation between theN. oligotrophasubclusters, which could explain their coexistence in the same biofilms. Coaggregation analysis showed thatN. oligotrophasubcluster II aggregated closer toNitrospirathan didN. oligotrophasubcluster I in a pilot plant nitrifying trickling filter (NTF) and a moving-bed biofilm reactor (MBBR), but not in a full-scale NTF, indicating important ecophysiological differences between these phylogenetically closely related subclusters. By using high-resolution quantitative methods applicable to any multispecies biofilm in general, the ecological interactions of these complex ecosystems can be understood in more detail.


2009 ◽  
Vol 17 (3) ◽  
pp. 3-5
Author(s):  
Stephen W. Carmichael

Embryologic development is a dynamic process that has been previously studied by examining static (usually chemically-fixed) specimens at different time periods and then extrapolating results by assembling a series of static images. Recently, Amy McMahon, Willy Supatto, Scott Fraser, and Angelike Stathopoulos have developed new methods to look at developmental migration patterns in real time. They used an optimized imaging approach and quantitative methods to analyze a two hour period during which gastrulation occurred in the embryos of fruitflies (Drosophila). Specifically, they characterized the complex interactions between cells of the ectoderm and mesoderm by tracking the movements of over 1,500 cells, which involved the analysis of over 100,000 cell positions for each embryo!


2018 ◽  
Vol 9 (6) ◽  
pp. 27
Author(s):  
Vahid Nimehchisalem

Research methods offer authentic ways to elicit useful data based on which informed decisions can be made. With respect to their design and data collection or analysis, research methods are traditionally divided into qualitative and quantitative types, each with its strengths and weaknesses. In response to new theories and technological developments, new methods have evolved as extensions of qualitative or quantitative methods or as combinations of the two with promising features. This article presents an overview of the common methods used in language learning-teaching research.


1984 ◽  
Vol 8 (2) ◽  
pp. 151-168
Author(s):  
Roderick Floud

It was fashionable some years ago for historians to speak of the quantitative revolution in their subject and to look forward, either with hope or with foreboding, to the day when history, like geography, sociology, and other social sciences before it, would be dominated by practitioners skilled in quantitative methods. New questions would be asked, new methods used, new sources exploited, and new discoveries made. In the process, those historians without training in quantitative methods would be swept from the battlegrounds of the subject. They would be forced to retreat either into the antiquarianism within which many quantitative historians, privately, located them or they would be forced to undergo a painful process of retooling in a struggle to avoid technological obsolescence. It was a reasonable expectation in those days that a statistical training would become as essential to a historian as a training in foreign languages or experience in burrowing for sources in the record office: As Emmanuel Le Roy Ladurie put it in 1968, by the 1980s “the historian will be a programmer or he will be nothing” (Le Roy Ladurie, 1968). As a result, quantitative historians gathering in the early 1970s thought that the quantitative revolution would be largely complete as the world entered the 1980s.


2019 ◽  
Vol 36 (1) ◽  
pp. 83-88 ◽  
Author(s):  
Moawia Alghalith

Purpose This paper aims to quantify preferences without having to have any utility data. Design/methodology/approach We use duality theory, Taylor’s theorem and nonlinear regressions. Findings We presented pioneering quantitative methods in economics and business. These methods can be applied to numerous topics in empirical and theoretical economics and business. Moreover, this paper highlighted the interdisciplinary nature of economics. In doing so, it emphasized the interface between economics, marketing, management, statistics and mathematics. Furthermore, it circumvented a major obstacle in the literature: the curse of dimensionality. Originality/value The authors introduce a novel and convenient approach to utility modeling. In doing so, they present a general utility function in a simple form. Furthermore, they develop a method to measure preferences without any utility data. They also devise a method to measure the marginal utility. Then, they develop new methods of modeling and measuring the consumer utility. In so doing, they overcome a major obstacle: the curse of the dimensionality. In addition, they introduce new methods of modeling and measuring the consumer demand for the firm’s good.


2020 ◽  
Vol 44 (3) ◽  
pp. 298-300 ◽  
Author(s):  
Jessica A Hvozdovich ◽  
Chris W Chronister ◽  
Barry K Logan ◽  
Bruce A Goldberger

Abstract Between March 2017 and November 2018, 54 prisoner fatal overdose cases submitted to the University of Florida Forensic Toxicology Laboratory involved synthetic cannabinoids including 5F-ADB, FUB-AMB, 5F-AMB, MDMB-FUBINACA and AB-CHMINACA. Analysis of blood and urine samples was performed at NMS Labs (Horsham, PA) by liquid chromatography/tandem mass spectrometry screening, confirmatory and quantitative methods validated according to Scientific Working Group for Forensic Toxicology guidelines. This work highlights the importance of effective communication between toxicologists and medical examiners/coroners, and the value of public-private partnerships to provide coverage while laboratories work to update instrumentation and validate their own new methods to keep up with the challenges of emerging substances.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Lin Liu ◽  
Weiya Xu

It is important to confirm the long-term strength of rock materials for the purpose of evaluating the long-term stability of rock engineering. In this study, a series of triaxial creep tests were conducted on granite gneiss under different pore pressures. Based on the test data, we proposed two new quantitative methods, tangent method and intersection method, to confirm the long-term strength of rock. Meanwhile, the isochronous stress-strain curve method was adopted to make sure of the accuracy and operability of the two new methods. It is concluded that the new methods are suitable for the study of the long-term strength of rock. The effect of pore pressure on the long-term strength of rock in triaxial creep tests is also discussed.


Author(s):  
Rob Potharst ◽  
Michiel V. Rijthoven ◽  
Michiel C.V. Wezel

Starting with a review of some classical quantitative methods for modeling customer behavior in the brand choice situation, some new methods are explained which are based on recently developed techniques from data mining and artificial intelligence: boosting and/or stacking neural network models. The main advantage of these new methods is the gain in predictive performance that is often achieved, which in a marketing setting directly translates into increased reliability of expected market share estimates. The new models are applied to a well-known data set containing scanner data on liquid detergent purchases. The performance of the new models on this data set is compared with results from the marketing literature. Finally, the developed models are applied to some practical marketing issues such as predicting the effect of different pricing schemes upon market share.


2019 ◽  
Vol 5 (2) ◽  
pp. 109-137 ◽  
Author(s):  
Andreea S. Calude ◽  
Sally Harper ◽  
Steven Miller ◽  
Hemi Whaanga

Abstract The borrowing of words from one language into another is most likely as ancient as language itself. While ample linguistic attention has focused on various linguistic contact scenarios in which words from one language enter productive use into another, their aim has been largely restricted to documenting the words which are borrowed, their frequency, and other situation-specific information. In this paper, we propose new methods for studying loanwords, namely a combination of statistical testing techniques which can be used together to increase knowledge in this area. We illustrate these tools with a case-study of loanwords from an indigenous language (Māori) into a world dominant language (New Zealand English). Using a topic-constrained newspaper corpus in conjunction with quantitative methods, we explore the use of loanwords diachronically and analyse variation in loanword use across newspapers and across writers.


Author(s):  
Giampietro Gobo

Purpose – In social sciences, after having witnessed several “turns” (cognitive, linguistic, pragmatic, interactional), the authors observe the rise of the “qualitative turn”. Therefore quantitative research methods are not mainstream anymore. One effect of this rebalance between quality and quantity is the recent “resurgence” of mixed methods. However, a new challenge presses social research: creating new methods, which could combine both qualitative and quantitative approaches in a single instrument, squeezing the advantages of both in a single technique. With the benefit of lowering the costs and making more consistent the findings. Some “merged” methods already exist and QROM could be a visionary laboratory. The paper aims to discuss these issues. Design/methodology/approach – An overview of recent research on the spread and use of social research methods in different countries. Findings – In social sciences quantitative methods are not mainstream anymore. Research limitations/implications – The time has come for a further step in the direction of a full integration of qualitative and quantitative methods. Practical implications – Envisioning the future needs for creating new methods, which could combine both qualitative and quantitative approaches in a single instrument, squeezing the advantages of both in a single technique. With the benefit of lowering the costs and making more consistent the research findings. Some “merged” methods already exist and QROM could be a visionary laboratory. Social implications – The rise of “qualitative turn” in social sciences will change the power relations in academy and in the market research. New generations of researchers will bring social research back to the times of Chicago School, where qualitative research was dominated. Only posterity will know if this will be good or not. Originality/value – This brief paper envisions the need to go beyond the current “mixed” methods fashion in favour of full “merged” methods research.


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