A Souvenir of the Niagara Falls, showing Summer and Winter views of Niagara Falls and their surroundings. --

Cover title: Niagara Falls illustrated, Summer and Winter.

James J. Campbell and Dr. Arthur Flint outside Hashinger Hall

James J. Campbell [right], director of the Chapman College Residence Education Center at the El Toro Marine Corps Air Station, discusses the college's new science scholarship program with Dr. Arthur Flint, chairman of the Chapman Division of Natural Sciences, in front of the new science center, Hashinger Hall, Chapman College, 346 N. Center Street, Orange, California. The late Dr. Edward H. Hashinger, former trustee and past chairman of the board is the man whose name has graced the walls of this building since 1969. The Hashinger Science Center (3 floors, 65,364 sq.ft.) houses all science departments including biology, natural and applied sciences, environmental and chemical sciences, food science and nutrition, kinesiology and physical therapy.

Wakeman Burritt fonds, 1807-1814

Wakeman Burritt (1785-1847) was a merchant and ship owner who conducted his business in New York, New Orleans, LA, Charleston, SC, and the West Indies. Despite the difficulties that the Embargo Act of 1807 and the War of 1812 posed to trade and commerce, Burritt managed to run a successful business, dealing in commodities such as foodstuffs, cloth, cotton, and soap. He owned three ships, the Brig Cannon, Brig Eunice and Brig Sampson. In 1809, he married Grace Burr (1787-1874). Together they had at least one child, Francis Burritt (1811-1861).

Broadside reporting the Fenian Invasion of Canada, June 2, 1866

The Fenians were a group intent on securing Irish independence from England. The movement had its origins in Ireland in1857, under the leadership of James Stephens, with the assistance of John O'Mahony, an American who had raised funds for the cause. The American branch of this movement was especially successful, having raised $500 000 and enlisting about 10 000 American Civil War veterans. The group split into two separate factions, one desiring an invasion of Canada and the other preferring an uprising in Ireland. It soon became apparent that an uprising in Ireland was not imminent, and a decision was made to invade Canada. In April, 1866, a raid was launched against New Brunswick. It proved unsuccessful, and another raid was attempted on June 1, 1866, this time in Ridgeway, near Fort Erie, Ontario. The Canadian militiamen were defeated, but the Fenians subsequently withdrew. A third incident occurred on June 7, this time at Missisquoi Bay in Quebec, when the Fenians crossed the border, remained there for 2 days, and withdrew. A failed uprising in Ireland in 1867 signaled the demise of the movement. The Fenian threat helped to promote a sense of union among Canadians and provided an incentive for Confederation.

Broadside reporting the Fenian Invasion of Canada, June 2, 1866

The Fenians were a group intent on securing Irish independence from England. The movement had its origins in Ireland in1857, under the leadership of James Stephens, with the assistance of John O'Mahony, an American who had raised funds for the cause. The American branch of this movement was especially successful, having raised $500 000 and enlisting about 10 000 American Civil War veterans. The group split into two separate factions, one desiring an invasion of Canada and the other preferring an uprising in Ireland. It soon became apparent that an uprising in Ireland was not imminent, and a decision was made to invade Canada. In April, 1866, a raid was launched against New Brunswick. It proved unsuccessful, and another raid was attempted on June 1, 1866, this time in Ridgeway, near Fort Erie, Ontario. The Canadian militiamen were defeated, but the Fenians subsequently withdrew. A third incident occurred on June 7, this time at Missisquoi Bay in Quebec, when the Fenians crossed the border, remained there for 2 days, and withdrew. A failed uprising in Ireland in 1867 signaled the demise of the movement. The Fenian threat helped to promote a sense of union among Canadians and provided an incentive for Confederation.

Appointment of John B. Parkynn [Parkin] (J.P. Bradley’s brother) to be an Ensign of the 1st Company of the Royal Quebec Volunteers

Appointment of John B. Parkynn [Parkin] (J.P. Bradley’s brother) to be an Ensign of the 1st Company of the Royal Quebec Volunteers. This is signed by the Governor General, the Earl of Gosford and Governor General, Secretary J. Walcott, Nov. 27, 1837.

Étude de l’association supramoléculaire bi- et tridimensionnelle d’oximes et d’hydrazones trigonales

Les concepts de la chimie supramoléculaire peuvent être exploités avantageusement pour contrôler la structure et les propriétés des matériaux moléculaires. Dans une approche productive, les composantes moléculaires du matériau peuvent être choisies pour pouvoir s'engager dans des interactions fortes et prévisibles avec leurs voisins. Cette stratégie, appelée la tectonique moléculaire, est caractérisée par la préparation de molécules particulières appelées tectons (du grec tectos, qui signifie constructeur) qui, par design rationnel, s’associent de manière prévisible via de multiples interactions non-covalentes afin de générer l’architecture désirée. Ce processus est réversible et guidé par la présence de fonctions chimiques complémentaires, appelées groupements de reconnaissance, qui sont orientées de manière à conférer un aspect directionnel aux interactions intermoléculaires. Ceci permet de positionner les molécules voisines de façon prédéterminée. Les contraintes imposées par les interactions s’opposent souvent à la tendance naturelle des molécules à former une structure compacte et permettent donc à d'autres molécules invitées d’occuper un volume appréciable dans le matériau, sans toutefois contribuer directement à l'architecture principale. Appliquée à la cristallisation, cette approche peut générer des cristaux poreux, analogues aux zéolites. Les ponts hydrogène offrent une interaction non-covalente de choix dans cette stratégie car ils sont forts et directionnels. L’exploration d’une multitude de fonctions chimiques connues pour pouvoir participer à la formation de ponts hydrogène a permis de créer une grande diversité de nouveaux matériaux lors de l’évolution du domaine du génie cristallin. Une molécule classique, qui illustre bien la stratégie tectonique et qui a eu un fort impact dans le domaine de la chimie supramoléculaire, est l’acide 1,3,5-benzènetricarboxylique, communément appelé acide trimésique. L’acide trimésique donne une orientation trigonale à trois groupements carboxyles, favorisant ainsi la formation d'un réseau hexagonal retenu par ponts hydrogène. Nous avons visé une modification dans laquelle les groupements -COOH de l'acide trimésique sont remplacés par deux autres groupements de reconnaissance, jusqu’ici peu exploités en chimie supramoléculaire, l’oxime et l’hydrazone. Nous rapportons la synthèse et la cristallisation de différentes trioximes et trihydrazones analogues à l'acide trimésique. Les cristaux obtenus ont été analysés par diffraction des rayons-X et leurs structures ont été déterminées. L’auto-assemblage de différentes trioximes et trihydrazones en 2D par adsorption sur graphite a également été étudié en utilisant la microscopie à balayage à effet tunnel. Nos résultats nous permettent de comparer l'organisation en 2D et en 3D de différents analogues de l'acide trimésique.

Multimodal image registration of the scoliotic torso for surgical planning

Background This paper presents a method that registers MRIs acquired in prone position, with surface topography (TP) and X-ray reconstructions acquired in standing position, in order to obtain a 3D representation of a human torso incorporating the external surface, bone structures, and soft tissues. Methods TP and X-ray data are registered using landmarks. Bone structures are used to register each MRI slice using an articulated model, and the soft tissue is confined to the volume delimited by the trunk and bone surfaces using a constrained thin-plate spline. Results The method is tested on 3 pre-surgical patients with scoliosis and shows a significant improvement, qualitatively and using the Dice similarity coefficient, in fitting the MRI into the standing patient model when compared to rigid and articulated model registration. The determinant of the Jacobian of the registration deformation shows higher variations in the deformation in areas closer to the surface of the torso. Conclusions The novel, resulting 3D full torso model can provide a more complete representation of patient geometry to be incorporated in surgical simulators under development that aim at predicting the effect of scoliosis surgery on the external appearance of the patient’s torso.

Articulated Model Registration of MRI/X-Ray Spine Data

This paper presents a method based on articulated models for the registration of spine data extracted from multimodal medical images of patients with scoliosis. With the ultimate aim being the development of a complete geometrical model of the torso of a scoliotic patient, this work presents a method for the registration of vertebral column data using 3D magnetic resonance images (MRI) acquired in prone position and X-ray data acquired in standing position for five patients with scoliosis. The 3D shape of the vertebrae is estimated from both image modalities for each patient, and an articulated model is used in order to calculate intervertebral transformations required in order to align the vertebrae between both postures. Euclidean distances between anatomical landmarks are calculated in order to assess multimodal registration error. Results show a decrease in the Euclidean distance using the proposed method compared to rigid registration and more physically realistic vertebrae deformations compared to thin-plate-spline (TPS) registration thus improving alignment.

L’effet de la prothèse totale du genou sur la cinématique 3D : vers le développement de biomarqueurs mécaniques de la douleur

La prothèse totale du genou (PTG) est une chirurgie couramment pratiquée pour traiter les patients souffrant d’arthrose sévère du genou. Bien que cette technique chirurgicale soit efficace pour diminuer la douleur, améliorer la fonction du genou et rentable d’un point de vue socio-économique, un pourcentage non négligeable de patients n’est pas satisfait suite à la chirurgie, principalement due à une douleur persistante ou due à une perception d’avoir une mauvaise fonction articulaire, sans cause identifiée. Cependant, l’impact de cette chirurgie sur la cinématique tridimensionnelle (3D) du genou demeure mal compris. Dans le but de mieux comprendre pourquoi certains patients ressentent toujours de la douleur suite à cette chirurgie, cette étude analysera, dans un premier temps, l’effet prospectif de la chirurgie sur la cinématique 3D du genou. Puis dans un second temps, comparera la cinématique 3D de sujet souffrant de douleur à celle de sujets asymptomatiques suite à la prothèse. Pour parvenir à ces deux objectifs, deux études distinctes ont été entreprises. Une première étude prospective a porté sur l’évolution de la cinématique 3D du genou d’un groupe de 19 sujets, recrutés sur la liste d’attente pour prothèse totale du genou de deux chirurgiens du CHUM, hôpital Notre-Dame, puis la cinématique a été comparée avec un groupe contrôle de 17 sujets avec des genoux sains. Une seconde étude a comparé la cinématique 3D de 20 sujets souffrant de douleur post-PTG avec 20 sujets avec des genoux asymptomatiques suite à leur chirurgie. La première étude a permis de montrer que la cinématique dans le plan frontal suite à la prothèse totale du genou était corrigée vers celle des sujets sains. Contrairement à celle mesurée dans les autres plans (sagittal et axial) qui, malgré de petites corrections, demeure différente de la cinématique des sujets sains. La seconde étude a permis d’identifier un marqueur biomécanique de la douleur chez les sujets souffrant de douleur post-PTG. Effectivement, contrairement aux sujets asymptomatiques, suite à leur chirurgie, les patients souffrants de douleur marchent avec une contracture en flexion plus importante tout au long de la phase d’appui. Les résultats de ces deux études tendent à montrer que la prothèse totale du genou modifie la cinématique 3D du genou, sans toutefois redevenir semblable à celle d’un genou normal. De plus, certains marqueurs biomécaniques peuvent être associés à de la douleur suite à la chirurgie. Une meilleure compréhension de l’impact de la PTG sur la cinématique 3D du genou permettra d’offrir de meilleurs traitements en préparation et après la chirurgie et pourrait mener à de nouveaux designs de prothèses.

Scoliosis curve type classification from 3D trunk image

Adolescent idiopathic scoliosis (AIS) is a deformity of the spine manifested by asymmetry and deformities of the external surface of the trunk. Classification of scoliosis deformities according to curve type is used to plan management of scoliosis patients. Currently, scoliosis curve type is determined based on X-ray exam. However, cumulative exposure to X-rays radiation significantly increases the risk for certain cancer. In this paper, we propose a robust system that can classify the scoliosis curve type from non invasive acquisition of 3D trunk surface of the patients. The 3D image of the trunk is divided into patches and local geometric descriptors characterizing the surface of the back are computed from each patch and forming the features. We perform the reduction of the dimensionality by using Principal Component Analysis and 53 components were retained. In this work a multi-class classifier is built with Least-squares support vector machine (LS-SVM) which is a kernel classifier. For this study, a new kernel was designed in order to achieve a robust classifier in comparison with polynomial and Gaussian kernel. The proposed system was validated using data of 103 patients with different scoliosis curve types diagnosed and classified by an orthopedic surgeon from the X-ray images. The average rate of successful classification was 93.3% with a better rate of prediction for the major thoracic and lumbar/thoracolumbar types.

Non invasive classification system of scoliosis curve types using least-squares support vector machines

Objective To determine scoliosis curve types using non invasive surface acquisition, without prior knowledge from X-ray data. Methods Classification of scoliosis deformities according to curve type is used in the clinical management of scoliotic patients. In this work, we propose a robust system that can determine the scoliosis curve type from non invasive acquisition of the 3D back surface of the patients. The 3D image of the surface of the trunk is divided into patches and local geometric descriptors characterizing the back surface are computed from each patch and constitute the features. We reduce the dimensionality by using principal component analysis and retain 53 components using an overlap criterion combined with the total variance in the observed variables. In this work, a multi-class classifier is built with least-squares support vector machines (LS-SVM). The original LS-SVM formulation was modified by weighting the positive and negative samples differently and a new kernel was designed in order to achieve a robust classifier. The proposed system is validated using data from 165 patients with different scoliosis curve types. The results of our non invasive classification were compared with those obtained by an expert using X-ray images. Results The average rate of successful classification was computed using a leave-one-out cross-validation procedure. The overall accuracy of the system was 95%. As for the correct classification rates per class, we obtained 96%, 84% and 97% for the thoracic, double major and lumbar/thoracolumbar curve types, respectively. Conclusion This study shows that it is possible to find a relationship between the internal deformity and the back surface deformity in scoliosis with machine learning methods. The proposed system uses non invasive surface acquisition, which is safe for the patient as it involves no radiation. Also, the design of a specific kernel improved classification performance.

Development of Techniques for the Automatic Extraction and Grade Detection of Glioma Tumors from Conventional Brain Magnetic Resonant Images

Cerebral glioma is the most prevalent primary brain tumor, which are classified broadly into low and high grades according to the degree of malignancy. High grade gliomas are highly malignant which possess a poor prognosis, and the patients survive less than eighteen months after diagnosis. Low grade gliomas are slow growing, least malignant and has better response to therapy. To date, histological grading is used as the standard technique for diagnosis, treatment planning and survival prediction. The main objective of this thesis is to propose novel methods for automatic extraction of low and high grade glioma and other brain tissues, grade detection techniques for glioma using conventional magnetic resonance imaging (MRI) modalities and 3D modelling of glioma from segmented tumor slices in order to assess the growth rate of tumors. Two new methods are developed for extracting tumor regions, of which the second method, named as Adaptive Gray level Algebraic set Segmentation Algorithm (AGASA) can also extract white matter and grey matter from T1 FLAIR an T2 weighted images. The methods were validated with manual Ground truth images, which showed promising results. The developed methods were compared with widely used Fuzzy c-means clustering technique and the robustness of the algorithm with respect to noise is also checked for different noise levels. Image texture can provide significant information on the (ab)normality of tissue, and this thesis expands this idea to tumour texture grading and detection. Based on the thresholds of discriminant first order and gray level cooccurrence matrix based second order statistical features three feature sets were formulated and a decision system was developed for grade detection of glioma from conventional T2 weighted MRI modality.The quantitative performance analysis using ROC curve showed 99.03% accuracy for distinguishing between advanced (aggressive) and early stage (non-aggressive) malignant glioma. The developed brain texture analysis techniques can improve the physician’s ability to detect and analyse pathologies leading to a more reliable diagnosis and treatment of disease. The segmented tumors were also used for volumetric modelling of tumors which can provide an idea of the growth rate of tumor; this can be used for assessing response to therapy and patient prognosis.

Characterization of DnmA, the Dnmt2 homolog in Dictyostelium discoideum

Eukaryotic DNA m5C methyltransferases (MTases) play a major role in many epigenetic regulatory processes like genomic imprinting, X-chromosome inactivation, silencing of transposons and gene expression. Members of the two DNA m5C MTase families, Dnmt1 and Dnmt3, are relatively well studied and many details of their biological functions, biochemical properties as well as interaction partners are known. In contrast, the biological functions of the highly conserved Dnmt2 family, which appear to have non-canonical dual substrate specificity, remain enigmatic despite the efforts of many researchers. The genome of the social amoeba Dictyostelium encodes Dnmt2-homolog, the DnmA, as the only DNA m5C MTase which allowed us to study Dnmt2 function in this organism without interference by the other enzymes. The dnmA gene can be easily disrupted but the knock-out clones did not show obvious phenotypes under normal lab conditions, suggesting that the function of DnmA is not vital for the organism. It appears that the dnmA gene has a low expression profile during vegetative growth and is only 5-fold upregulated during development. Fluorescence microscopy indicated that DnmA-GFP fusions were distributed between both the nucleus and cytoplasm with some enrichment in nuclei. Interestingly, the experiments showed specific dynamics of DnmA-GFP distribution during the cell cycle. The proteins colocalized with DNA in the interphase and were mainly removed from nuclei during mitosis. DnmA functions as an active DNA m5C MTase in vivo and is responsible for weak but detectable DNA methylation of several regions in the Dictyostelium genome. Nevertheless, gel retardation assays showed only slightly higher affinity of the enzyme to dsDNA compared to ssDNA and no specificity towards various sequence contexts, although weak but detectable specificity towards AT-rich sequences was observed. This could be due to intrinsic curvature of such sequences. Furthermore, DnmA did not show denaturant-resistant covalent complexes with dsDNA in vitro, although it could form covalent adducts with ssDNA. Low binding and methyltransfer activity in vitro suggest the necessity of additional factor in DnmA function. Nevertheless, no candidates could be identified in affinity purification experiments with different tagged DnmA fusions. In this respect, it should be noted that tagged DnmA fusion preparations from Dictyostelium showed somewhat higher activity in both covalent adduct formation and methylation assays than DnmA expressed in E.coli. Thus, the presence of co-purified factors cannot be excluded. The low efficiency of complex formation by the recombinant enzyme and the failure to define interacting proteins that could be required for DNA methylation in vivo, brought up the assumption that post-translational modifications could influence target recognition and enzymatic activity. Indeed, sites of phosphorylation, methylation and acetylation were identified within the target recognition domain (TRD) of DnmA by mass spectrometry. For phosphorylation, the combination of MS data and bioinformatic analysis revealed that some of the sites could well be targets for specific kinases in vivo. Preliminary 3D modeling of DnmA protein based on homology with hDNMT2 allowed us to show that several identified phosphorylation sites located on the surface of the molecule, where they would be available for kinases. The presence of modifications almost solely within the TRD domain of DnmA could potentially modulate the mode of its interaction with the target nucleic acids. DnmA was able to form denaturant-resistant covalent intermediates with several Dictyostelium tRNAs, using as a target C38 in the anticodon loop. The formation of complexes not always correlated with the data from methylation assays, and seemed to be dependent on both sequence and structure of the tRNA substrate. The pattern, previously suggested by the Helm group for optimal methyltransferase activity of hDNMT2, appeared to contribute significantly in the formation of covalent adducts but was not the only feature of the substrate required for DnmA and hDNMT2 functions. Both enzymes required Mg2+ to form covalent complexes, which indicated that the specific structure of the target tRNA was indispensable. The dynamics of covalent adduct accumulation was different for DnmA and different tRNAs. Interestingly, the profiles of covalent adduct accumulation for different tRNAs were somewhat similar for DnmA and hDNMT2 enzymes. According to the proposed catalytic mechanism for DNA m5C MTases, the observed denaturant-resistant complexes corresponded to covalent enamine intermediates. The apparent discrepancies in the data from covalent complex formation and methylation assays may be interpreted by the possibility of alternative pathways of the catalytic mechanism, leading not to methylation but to exchange or demethylation reactions. The reversibility of enamine intermediate formation should also be considered. Curiously, native gel retardation assays showed no or little difference in binding affinities of DnmA to different RNA substrates and thus the absence of specificity in the initial enzyme binding. The meaning of the tRNA methylation as well as identification of novel RNA substrates in vivo should be the aim of further experiments.

A Statistical Image-Based Shape Model for Visual Hull Reconstruction and 3D Structure Inference

We present a statistical image-based shape + structure model for Bayesian visual hull reconstruction and 3D structure inference. The 3D shape of a class of objects is represented by sets of contours from silhouette views simultaneously observed from multiple calibrated cameras. Bayesian reconstructions of new shapes are then estimated using a prior density constructed with a mixture model and probabilistic principal components analysis. We show how the use of a class-specific prior in a visual hull reconstruction can reduce the effect of segmentation errors from the silhouette extraction process. The proposed method is applied to a data set of pedestrian images, and improvements in the approximate 3D models under various noise conditions are shown. We further augment the shape model to incorporate structural features of interest; unknown structural parameters for a novel set of contours are then inferred via the Bayesian reconstruction process. Model matching and parameter inference are done entirely in the image domain and require no explicit 3D construction. Our shape model enables accurate estimation of structure despite segmentation errors or missing views in the input silhouettes, and works even with only a single input view. Using a data set of thousands of pedestrian images generated from a synthetic model, we can accurately infer the 3D locations of 19 joints on the body based on observed silhouette contours from real images.