The micromorphology of Paleoseismic soft sediment deformation structures in glacial deposits from three sample sites in Scotland /

The nature of this research is to investigate paleoseismic deformation of glacial soft sediments from three sampling sites throughout the Scottish Highlands; Arrat's Mills, Meikleour and Glen Roy. The paleoseismic evidence investigated in this research will provide a basis for applying criteria to soft sediment deformation structures, and the trigger mechanisms that create these structures. Micromorphology is the tool used in this to investigate paleoseismic deformation structures in thin section. Thin section analysis, (micromorphology) of glacial sediments from the three sampling sites is used to determine microscale evidence of past earthquakes that can be correlated to modem-day events and possibly lead to a better understanding of the impact of earthquakes throughout a range of sediment types. The significance of the three sampling locations is their proximity to two major active fault zones that cross Scotland. The fault zones are the Highland Boundary Fault and the Great Glen Fault, these two major faults that parallel each other and divide the country in half Sims (1975) used a set of seven criteria that identified soft sediment deformation structures created by a magnitude six earthquake in Cahfomia. Using criteria set forth by Sims (1975), the paleoseismic evidence can be correlated to the magnitude of the deformation structures found in the glacial sediments. This research determined that the microstructures at Arrat's Mill, Meikleour and Glen Roy are consistent with a seismically induced origin. It has also been demonstrated that, even without the presence of macrostructures, the use of micromorphology techniques in detecting such activity within sediments is of immense value.

The earliest days of the teetotal movement: dialogues on drink and physiology for the young (1900)

Contents extracted from "Upward", the monthly magazine of the Preston Board of Hope Union, July 1897-January 1899 and June 1900, and from "The Temperance Mirror", February 1900, one of 20 copies. Inscribed on "Explanatory" page: Wm. Livesey. August 3rd 1900. Inscribed on title-page: J. Sherlock, with W. Livesey's Kind Regards.

KLM Airline World Business Class Drink Menu

A menu from the airline KLM World Business Class, featuring the wine of Inniskillin, specifically the Chardonnay Reserve 1994.

Small, black, soft cover notebook which has “Niagara Historical Society” taped to the front cover

Small, black, soft cover notebook which has “Niagara Historical Society” taped to the front cover. It contains handwritten entries which include: names of early settlers; buildings; veterans at Queenston Heights, 1859; group of Indians; and list of people whose picture was taken in 1870[?] at Queenston, n.d.

Memoranda booklet (soft cover) compliments of the Canadian Bank of Commerce, St. Catharines Branch

Memoranda booklet (soft cover) compliments of the Canadian Bank of Commerce, St. Catharines Branch. Only one page has writing on it. It appears to be a shopping list, n.d.

Les traducteurs endurcis devraient-ils se raviser? Le cas du couple hard / soft

Département de linguistique et de traduction

«School choice with controlled choice constraints: hard bounds versus soft bounds»

Controlled choice over public schools attempts giving options to parents while maintaining diversity, often enforced by setting feasibility constraints with hard upper and lower bounds for each student type. We demonstrate that there might not exist assignments that satisfy standard fairness and non-wastefulness properties; whereas constrained non-wasteful assignments which are fair for same type students always exist. We introduce a "controlled" version of the deferred acceptance algorithm with an improvement stage (CDAAI) that finds a Pareto optimal assignment among such assignments. To achieve fair (across all types) and non-wasteful assignments, we propose the control constraints to be interpreted as soft bounds-flexible limits that regulate school priorities. In this setting, a modified version of the deferred acceptance algorithm (DAASB) finds an assignment that is Pareto optimal among fair assignments while eliciting true preferences. CDAAI and DAASB provide two alternative practical solutions depending on the interpretation of the control constraints. JEL C78, D61, D78, I20.

Soft Surveillance: The Growth of Mandatory Volunteerism in Collecting Personal Information “Hey Buddy Can You Spare a DNA?”

Le développement accéléré des technologies de communication, de saisie et de traitement de l’information durant les dernières années décennies ouvre la voie à de nouveaux moyens de contrôle social. Selon l’auteur Gary Marx ceux-ci sont de nature non coercitive et permettent à des acteurs privés ou publics d’obtenir des informations personnelles sur des individus sans que ceux-ci y consentent ou mêmes sans qu’ils en soient conscients. Ces moyens de contrôle social se fondent sur certaines valeurs sociales qui sont susceptibles de modifier le comportement des individus comme le patriotisme, la notion de bon citoyen ou le volontarisme. Tout comme les moyens coercitifs, elles amènent les individus à adopter certains comportements et à divulguer des informations précises. Toutefois, ces moyens se fondent soit sur le consentement des individus, consentement qui est souvent factice et imposée, soit l’absence de connaissance du processus de contrôle par les individus. Ainsi, l’auteur illustre comment des organisations privées et publiques obtiennent des informations privilégiées sur la population sans que celle-ci en soit réellement consciente. Les partisans de tels moyens soulignent leur importance pour la sécurité et le bien publique. Le discours qui justifie leur utilisation soutient qu’ils constituent des limites nécessaires et acceptables aux droits individuels. L’emploi de telles méthodes est justifié par le concept de l’intérêt public tout en minimisant leur impact sur les droits des individus. Ainsi, ces méthodes sont plus facilement acceptées et moins susceptibles d’être contestées. Toutefois, l’auteur souligne l’importance de reconnaître qu’une méthode de contrôle empiète toujours sur les droits des individus. Ces moyens de contrôle sont progressivement intégrés à la culture et aux modes de comportement. En conséquence, ils sont plus facilement justifiables et certains groupes en font même la promotion. Cette réalité rend encore plus difficile leur encadrement afin de protéger les droits individuels. L’auteur conclut en soulignant l’important décalage moral derrière l’emploi de ces méthodes non-coercitives de contrôle social et soutient que seul le consentement éclairé des individus peut justifier leur utilisation. À ce sujet, il fait certaines propositions afin d’encadrer et de rendre plus transparente l’utilisation de ces moyens de contrôle social.

Shari'a Commercial Law : "old wine in new bottles?"

Suite à la crise financière globale de 2008, ainsi qu’aux différents facteurs qui y ont mené, il est étonnant qu’une alternative éthique et juste pour une finance lucrative et stable n’existe toujours pas (ou du moins, demeure oubliée). Ayant décidé de contribuer au domaine pluri-centenaire du Droit Commercial de la Chari’a, nous avons été surpris par la découverte d’une problématique à l’origine de cette thèse. En France, nous avons suivi des débats doctrinaux intéressants dont les conclusions se rapprochent de la perception générale Occidentale quand à la nature de la finance Islamique, que ce soit au niveau de la finance basée sur le Droit de la Chari’a ou encore les exigences de sa pleine introduction dans le système juridique français de l’époque. Cet intérêt initial dans la finance islamique a ensuite mené à un intérêt dans la question des avantages d’éthique et de justice du Droit Commercial de la Chari’a dans son ensemble, qui est au coeur de cette thèse. Dans le monde moderne du commerce et de la finance d’aujourd’hui, les transactions sont marquées par une prise de risque excessive et un esprit de spéculation qui s’apparente aux jeux de hasard, et menant à des pertes colossales. Pire encore, ces pertes sont ensuite transférées à la collectivité. Par conséquent, y at-il des préceptes, des principes ou des règles éthiques et juridiques qui peuvent fournir une certaine forme de sécurité et de protection dans les marchés financiers d'aujourd'hui? Est-ce réalisable? Cette thèse soutient que la richesse de la jurisprudence islamique ainsi que ses règles dont les avantages n’ont pas encore été pleinement saisis et régénérés en réponse aux nouveaux défis d’aujourd'hui, peuvent encore fournir continuellement des solutions, et réformer des produits financiers de façon à refléter des principes de justice et d'équité. Dans ce processus, un éclairage nouveau sera apporté à certains sujets déjà connus dans le cadre de la contribution prévue de cette thèse, mais ne sera pas le principal objectif de la thèse.

A physically based trunk soft tissue modeling for scoliosis surgery planning systems

One of the major concerns of scoliotic patients undergoing spinal correction surgery is the trunk's external appearance after the surgery. This paper presents a novel incremental approach for simulating postoperative trunk shape in scoliosis surgery. Preoperative and postoperative trunk shapes data were obtained using three-dimensional medical imaging techniques for seven patients with adolescent idiopathic scoliosis. Results of qualitative and quantitative evaluations, based on the comparison of the simulated and actual postoperative trunk surfaces, showed an adequate accuracy of the method. Our approach provides a candidate simulation tool to be used in a clinical environment for the surgery planning process.

Studies on Soft Bycatch Reduction Devices for Selective Trawling

Trawling, though an efficient method of fishing, is known to be one of the most non-selective methods of fish capture. The bulk of the wild caught penaeid shrimps landed in India are caught by trawling.In addition to shrimps, the trawler fleet also catches considerable amount of non-shrimp resources. The term bycatch means that portion of the catch other than target species caught while fishing, which are either retained or discarded. Bycatch discards is a serious problem leading to the depletion of the resources and negative impacts on biodiversity. In order to minimize this problem, trawling has to be made more selective by incorporating Bycatch Reduction Devices (BRDs). There are several advantages in using BRDs in shrimp trawling. BRDs reduce the negative impacts of shrimp trawling on marine community. Fishers could benefit economically from higher catch value due to improved catch quality, shorter sorting time, lower fuel costs, and longer tow duration. Adoption of BRDs by fishers would forestall criticism by conservation groups against trawling.

Study of cyclohexanol decomposition reaction over the ferrospinels, A1−xCuxFe2O4 (A=Ni or Co and x=0, 0.3, 0.5, 0.7 and 1), prepared by ‘soft’ chemical methods

Preparation of simple and mixed ferrospinels of nickel, cobalt and copper and their sulphated analogues by the room temperature coprecipitation method yielded fine particles with high surface areas. Study of the vapour phase decomposition of cyclohexanol at 300 °C over all the ferrospinel systems showed very good conversions yielding cyclohexene by dehydration and/or cyclohexanone by dehydrogenation, as the major products. Sulphation very much enhanced the dehydration activity over all the samples. A good correlation was obtained between the dehydration activities of the simple ferrites and their weak plus medium strength acidities (usually of the Brφnsted type) determined independently by the n-butylamine adsorption and ammonia-TPD methods. Mixed ferrites containing copper showed a general decrease in acidities and a drastic decrease in dehydration activities. There was no general correlation between the basicity parameters obtained by electron donor studies and the ratio of dehydrogenation to dehydration activities. There was a leap in the dehydrogenation activities in the case of all the ferrospinel samples containing copper. Along with the basic properties, the redox properties of copper ion have been invoked to account for this added activity.

Surface properties and catalytic activity of ferrospinels of nickel, cobalt and copper, prepared by soft chemical methods

Ferrospinels of nickel, cobalt and copper and their sulphated analogues were prepared by the room temperature coprecipitation route to yield samples with high surface areas. The intrinsic acidity among the ferrites was found to decrease in the order: cobalt> nickel> copper. Sulphation caused an increase in the number of weak and medium strong acid sites, whereas the strong acid sites were left unaffected. Electron donor studies revealed that copper ferrite has both the highest proportion of strong sites and the lowest proportion of weak basic sites. All the ferrite samples proved to be good catalysts for the benzoy lation of toluene with benzoyl chloride. copper and cobalt ferrites being much more active than nickel ferrite. The catalytic activity for benzoylation was not much influenced by sulphation, but it increased remarkably with calcination temperature of the catalyst. Surface Lewis acid sites, provided by the octahedral cations on the spinel surface, are suggested to be responsible for the catalytic activity for the benzoylation reaction.

“Reconstruction of Gene Regulatory Network from Expression Profile of Plasma RNA Data of Colorectal Cancer Patients using Soft Computing Techniques”

Microarray data analysis is one of data mining tool which is used to extract meaningful information hidden in biological data. One of the major focuses on microarray data analysis is the reconstruction of gene regulatory network that may be used to provide a broader understanding on the functioning of complex cellular systems. Since cancer is a genetic disease arising from the abnormal gene function, the identification of cancerous genes and the regulatory pathways they control will provide a better platform for understanding the tumor formation and development. The major focus of this thesis is to understand the regulation of genes responsible for the development of cancer, particularly colorectal cancer by analyzing the microarray expression data. In this thesis, four computational algorithms namely fuzzy logic algorithm, modified genetic algorithm, dynamic neural fuzzy network and Takagi Sugeno Kang-type recurrent neural fuzzy network are used to extract cancer specific gene regulatory network from plasma RNA dataset of colorectal cancer patients. Plasma RNA is highly attractive for cancer analysis since it requires a collection of small amount of blood and it can be obtained at any time in repetitive fashion allowing the analysis of disease progression and treatment response.

Soft Computing Approach for Optimization of siRNA Efficiency Prediction for Post-transcriptional Gene Silencing

Post-transcriptional gene silencing by RNA interference is mediated by small interfering RNA called siRNA. This gene silencing mechanism can be exploited therapeutically to a wide variety of disease-associated targets, especially in AIDS, neurodegenerative diseases, cholesterol and cancer on mice with the hope of extending these approaches to treat humans. Over the recent past, a significant amount of work has been undertaken to understand the gene silencing mediated by exogenous siRNA. The design of efficient exogenous siRNA sequences is challenging because of many issues related to siRNA. While designing efficient siRNA, target mRNAs must be selected such that their corresponding siRNAs are likely to be efficient against that target and unlikely to accidentally silence other transcripts due to sequence similarity. So before doing gene silencing by siRNAs, it is essential to analyze their off-target effects in addition to their inhibition efficiency against a particular target. Hence designing exogenous siRNA with good knock-down efficiency and target specificity is an area of concern to be addressed. Some methods have been developed already by considering both inhibition efficiency and off-target possibility of siRNA against agene. Out of these methods, only a few have achieved good inhibition efficiency, specificity and sensitivity. The main focus of this thesis is to develop computational methods to optimize the efficiency of siRNA in terms of “inhibition capacity and off-target possibility” against target mRNAs with improved efficacy, which may be useful in the area of gene silencing and drug design for tumor development. This study aims to investigate the currently available siRNA prediction approaches and to devise a better computational approach to tackle the problem of siRNA efficacy by inhibition capacity and off-target possibility. The strength and limitations of the available approaches are investigated and taken into consideration for making improved solution. Thus the approaches proposed in this study extend some of the good scoring previous state of the art techniques by incorporating machine learning and statistical approaches and thermodynamic features like whole stacking energy to improve the prediction accuracy, inhibition efficiency, sensitivity and specificity. Here, we propose one Support Vector Machine (SVM) model, and two Artificial Neural Network (ANN) models for siRNA efficiency prediction. In SVM model, the classification property is used to classify whether the siRNA is efficient or inefficient in silencing a target gene. The first ANNmodel, named siRNA Designer, is used for optimizing the inhibition efficiency of siRNA against target genes. The second ANN model, named Optimized siRNA Designer, OpsiD, produces efficient siRNAs with high inhibition efficiency to degrade target genes with improved sensitivity-specificity, and identifies the off-target knockdown possibility of siRNA against non-target genes. The models are trained and tested against a large data set of siRNA sequences. The validations are conducted using Pearson Correlation Coefficient, Mathews Correlation Coefficient, Receiver Operating Characteristic analysis, Accuracy of prediction, Sensitivity and Specificity. It is found that the approach, OpsiD, is capable of predicting the inhibition capacity of siRNA against a target mRNA with improved results over the state of the art techniques. Also we are able to understand the influence of whole stacking energy on efficiency of siRNA. The model is further improved by including the ability to identify the “off-target possibility” of predicted siRNA on non-target genes. Thus the proposed model, OpsiD, can predict optimized siRNA by considering both “inhibition efficiency on target genes and off-target possibility on non-target genes”, with improved inhibition efficiency, specificity and sensitivity. Since we have taken efforts to optimize the siRNA efficacy in terms of “inhibition efficiency and offtarget possibility”, we hope that the risk of “off-target effect” while doing gene silencing in various bioinformatics fields can be overcome to a great extent. These findings may provide new insights into cancer diagnosis, prognosis and therapy by gene silencing. The approach may be found useful for designing exogenous siRNA for therapeutic applications and gene silencing techniques in different areas of bioinformatics.