Factors affecting the flux of macromolecular, labile, metal complexes at consuming interfaces, in water and inside agarose gel: SSCP study and environmental implications

2006 ◽  
Vol 595 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Stéphane Noel ◽  
Jacques Buffle ◽  
Nicolas Fatin-Rouge ◽  
Jérôme Labille
Keyword(s):  
Metal Complexes ◽  
Agarose Gel ◽  
Environmental Implications ◽  
Factors Affecting

scholarly journals Advances in Blast-Induced Impact Prediction—A Review of Machine Learning Applications

Minerals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 601
Author(s):  
Nelson K. Dumakor-Dupey ◽  
Sampurna Arya ◽  
Ankit Jha
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Academic Research ◽  
Empirical Models ◽  
Rock Breakage ◽  
Environmental Implications ◽  
Learning Methods ◽  
Factors Affecting ◽  
Impact Prediction ◽  
Machine Learning Methods

Rock fragmentation in mining and construction industries is widely achieved using drilling and blasting technique. The technique remains the most effective and efficient means of breaking down rock mass into smaller pieces. However, apart from its intended purpose of rock breakage, throw, and heave, blasting operations generate adverse impacts, such as ground vibration, airblast, flyrock, fumes, and noise, that have significant operational and environmental implications on mining activities. Consequently, blast impact studies are conducted to determine an optimum blast design that can maximize the desirable impacts and minimize the undesirable ones. To achieve this objective, several blast impact estimation empirical models have been developed. However, despite being the industry benchmark, empirical model results are based on a limited number of factors affecting the outcomes of a blast. As a result, modern-day researchers are employing machine learning (ML) techniques for blast impact prediction. The ML approach can incorporate several factors affecting the outcomes of a blast, and therefore, it is preferred over empirical and other statistical methods. This paper reviews the various blast impacts and their prediction models with a focus on empirical and machine learning methods. The details of the prediction methods for various blast impacts—including their applications, advantages, and limitations—are discussed. The literature reveals that the machine learning methods are better predictors compared to the empirical models. However, we observed that presently these ML models are mainly applied in academic research.

scholarly journals EFFECT OF SOCIAL AND ENVIRONMENTAL FACTORS ON EXPRESSWAY CONSTRUCTION IN SRI LANKA

2021 ◽  
Author(s):  
H.L.P.U. Karunathilaka ◽  
◽  
K.A.K. Devapriya ◽  
V.G. Shanika ◽  
◽  
...  
Keyword(s):  
Sri Lanka ◽  
Environmental Factors ◽  
Construction Projects ◽  
Health And Safety ◽  
Feasibility Studies ◽  
Social Implications ◽  
Rock Blasting ◽  
Environmental Implications ◽  
Factors Affecting ◽  
Expressway Construction

Expressway construction projects are one of the crucial infrastructure projects for a country. Hence, assessment of environmental and social implications prior to initiation of the expressway construction project is vital. Thus, the research aims to analyse effect of social and environmental factors on expressway construction in Sri Lanka. Initially a comprehensive literature review was done to discuss on expressway construction in Sri Lanka and environmental and social implications of expressway construction in global context. The study followed a qualitative approach. Hence, four expert interviews were carried out to explore more on the same context limiting to Sri Lanka. Experts were selected from only on-going expressway project in Sri Lanka, central expressway project. Moreover, collected data were analysed through manual content analysis. The study findings highlighted viaduct construction, land acquisition and rock blasting as the major activities relating to environmental implications of the expressway construction projects. Thus, rational, logical, scientific, and technical selection of the routes is the most effective and efficient mean in minimizing adverse impacts. Hence planning of these activities should be done with due care by authorities only after proper feasibility studies. Further, major factors affecting social implications of the expressway construction have been identified as settlement, livelihood, public infrastructure and health and safety. Hence, resettlement action plans need to be updated to comply with the identified requirements through environmental and social factors.

Electroimmunoassay of albumin in human serum: accuracy and long-term precision.

1983 ◽  
Vol 29 (10) ◽  
pp. 1787-1790 ◽  
Author(s):  
M W Pascucci ◽  
D W Grisley ◽  
R N Rand
Keyword(s):  
Reference Method ◽  
Human Albumin ◽  
High Accuracy ◽  
Albumin Concentration ◽  
Agarose Gel ◽  
Factors Affecting ◽  
Analytical Recovery ◽  
Plate Formation ◽  
Sample Application

Abstract An improved procedure for the Laurell "rocket" technique is described. Samples were electrophoresed in an agarose gel containing anti-human albumin. The gel plates were processed, the peaks stained, and peak heights used to calculate albumin concentrations. Factors affecting precision were (a) adequate heating of agarose gel before antibody is added, (b) accurate leveling of the gel surface during plate formation, (c) applied voltage during sample application, and (d) avoidance of the "edge" effect on sample placement in the gel. Multi-plate long-term precision (CV) for the method was 6.2% at a mean albumin concentration of 13 g/L and 3.0% at 37 g/L. Analytical recovery of 8 and 11 g of albumin per liter was 99 to 100%. There was negligible interference from hemoglobin and dextran as well as several common substances that bind to albumin--bilirubin and salicylate. Because of its high accuracy and good long-term precision, the method is a possible candidate reference method for serum albumin.

scholarly journals Factors affecting nucleolytic efficiency of some ternary metal complexes with DNA binding and recognition domains. Crystal and molecular structure of Zn(phen)(edda)

2008 ◽  
Vol 102 (11) ◽  
pp. 1997-2011 ◽  
Author(s):  
Hoi-Ling Seng ◽  
Han-Kiat Alan Ong ◽  
Raja Noor Zaliha Raja Abd. Rahman ◽  
Bohari M. Yamin ◽  
Edward R.T. Tiekink ◽  
...  
Keyword(s):  
Molecular Structure ◽  
Dna Binding ◽  
Metal Complexes ◽  
Crystal And Molecular Structure ◽  
Factors Affecting ◽  
Ternary Metal ◽  
Ternary Metal Complexes

Transition metal complexes of substituted alkynes. IX. Factors that influence the formation of Tris(alkyne)cobalt complexes

1972 ◽  
Vol 25 (6) ◽  
pp. 1179 ◽  
Author(s):  
RS Dickson ◽  
PJ Fraser
Keyword(s):  
Transition Metal ◽  
Metal Complexes ◽  
Transition Metal Complexes ◽  
Spectroscopic Analysis ◽  
Cobalt Complexes ◽  
Substituted Benzenes ◽  
Factors Affecting ◽  
Principal Factors ◽  
The Stability

Reactions involving p-alkyne-hexacarbonyldioobalt complexes and an excess of an alkyne have been investigated systematically to determine some of the factors affecting the formation and stabilization of CO,(CO)~C,(CF,)~R,-, complexes. Systems have been studied in which the value of n has been varied through all values from 0 to 6. The new tris(a1kyne)tetracarbonyldioobalt complex CO,(CO),C,(CF,),(CH~)~- Hz, formed from Co,(CO),(CH,C,CH,) and an excess of CF,C=_CH, has been characterized by elementary and spectroscopic analysis. Tris(a1kyne)tetracarbonyldi- cobalt compIexes have not been isolated from the systems [Co,(CO),(CF3C,CF3)+2- CH,C=CCH,], [Co,(CO),(CF,C,CF,) + 2CH3CzCH], [Co,(CO),(CF,C,CH,) + 2CH3C~C- CH,], [Co,(CO),(CH,C,CH,) + 2CF3CKXF3], [Co,(CO),(CH3C,CH,) + 2CH3C~CCH3], and [Co,(CO),(CH3C,CH,)+2CH3C~CH]. Rather, significant amounts of various CF,- and/or CH,-substituted benzenes are obtained in these reactions. These sub- stituted benzenes are presumably formed by decomposition of unstable tris(a1kyne)- tetracarbonyldicobalt complexes. The accumulated results indicate that two principal factors influence the stability of the CO,(CO)~C,(CF,),R,-, complexes. Stable complexes are isolated only when (i) at least two CF, groups are incorporated as substituents in the C,-bridging fragment, and (ii) CF, substituents are attached to the two terminal carbon atoms of the bridging fragment.

scholarly journals Report on the D32 CCR5 variant in the Sudanese Shagia tribe

2008 ◽  
Vol 71 (1) ◽  
pp. 71-76 ◽  
Author(s):  
Agnieszka Kempińska-Podhorodecka ◽  
Oktawian Knap ◽  
Miłosz Parczewski ◽  
Agnieszka Bińczak-Kuleta ◽  
Mirosław Parafiniuk
Keyword(s):  
Genetic Material ◽  
Polymorphic Site ◽  
Genotype Frequency ◽  
Agarose Gel ◽  
Reaction Products ◽  
Isolated Populations ◽  
Specific Primers ◽  
Factors Affecting ◽  
First Report ◽  
Buccal Swabs

Report on the D32 CCR5 variant in the Sudanese Shagia tribeThe focus on small isolated populations provides important insights into the factors affecting the distribution of inheritable traits. Here, we present a report on the distribution of the CCR5 Δ32 mutation in the so far unstudied innate Sudanese population of Shagia people. The genetic material (buccal swabs) was collected from 125 individuals living in three African villages, Abu Haraz, Shibabit and El Higiena. The DNA was extracted, the polymorphic site PCR-amplified with a pair of specific primers flanking the Δ32 CCR5 mutation and reaction products electrophoretically separated in agarose gel. In the Abu Haraz and Shibabit villages, all investigated individuals were found to be homozygous for the wildtype of the receptor, while in El Higiena village one wt/D32 homozygote was identified with the remaining individuals homozygous for non-mutated CCR5. The frequency for the Δ32 CCR5 allele was 0,4%, with Δ32/wt genotype frequency of 0,8%. This is the first report on the presence of the Δ32 CCR5 allele not only in the genetically isolated Shagia tribe but also in the region of the Sudan.

Sign in / Sign up

Export Citation Format

Share Document