Unique features of odorant-binding proteins of the parasitoid wasp Nasonia vitripennis revealed by genome annotation and comparative analyses

Insects are the most diverse group of animals on the planet, comprising over 90% of all metazoan life forms, and have adapted to a wide diversity of ecosystems in nearly all environments. They have evolved highly sensitive chemical senses that are central to their interaction with their environment and to communication between individuals. Understanding the molecular bases of insect olfaction is therefore of great importance from both a basic and applied perspective. Odorant binding proteins (OBPs) are some of most abundant proteins found in insect olfactory organs, where they are the first component of the olfactory transduction cascade, carrying odorant molecules to the olfactory receptors. We carried out a search for OBPs in the genome of the parasitoid wasp Nasonia vitripennis and identified 90 sequences encoding putative OBPs. This is the largest OBP family so far reported in insects. We report unique features of the N. vitripennis OBPs, including the presence and evolutionary origin of a new subfamily of double-domain OBPs (consisting of two concatenated OBP domains), the loss of conserved cysteine residues and the expression of pseudogenes. This study also demonstrates the extremely dynamic evolution of the insect OBP family: (i) the number of different OBPs can vary greatly between species; (ii) the sequences are highly diverse, sometimes as a result of positive selection pressure with even the canonical cysteines being lost; (iii) new lineage specific domain arrangements can arise, such as the double domain OBP subfamily of wasps and mosquitoes.

N-WASP is required for B-cell-mediated autoimmunity in Wiskott-Aldrich syndrome.

Mutations of the Wiskott-Aldrich syndrome gene (WAS) are responsible for Wiskott-Aldrich syndrome (WAS), a disease characterized by thrombocytopenia, eczema, immunodeficiency, and autoimmunity. Mice with conditional deficiency of Was in B lymphocytes (B/WcKO) have revealed a critical role for WAS protein (WASP) expression in B lymphocytes in the maintenance of immune homeostasis. Neural WASP (N-WASP) is a broadly expressed homolog of WASP, and regulates B-cell signaling by modulating B-cell receptor (BCR) clustering and internalization. We have generated a double conditional mouse lacking both WASP and N-WASP selectively in B lymphocytes (B/DcKO). Compared with B/WcKO mice, B/DcKO mice showed defective B-lymphocyte proliferation and impaired antibody responses to T-cell-dependent antigens, associated with decreased autoantibody production and lack of autoimmune kidney disease. These results demonstrate that N-WASP expression in B lymphocytes is required for the development of autoimmunity of WAS and may represent a novel therapeutic target in WAS.

Swarm Intelligent Selection and Optimization of Machining System Parameters for Microchannel Fabrication in Medical Devices

Current technology trends in medical device industry calls for fabrication of massive arrays of microfeatures such as microchannels on to nonsilicon material substrates with high accuracy, superior precision, and high throughput. Microchannels are typical features used in medical devices for medication dosing into the human body, analyzing DNA arrays or cell cultures. In this study, the capabilities of machining systems for micro-end milling have been evaluated by conducting experiments, regression modeling, and response surface methodology. In machining experiments by using micromilling, arrays of microchannels are fabricated on aluminium and titanium plates, and the feature size and accuracy (width and depth) and surface roughness are measured. Multicriteria decision making for material and process parameters selection for desired accuracy is investigated by using particle swarm optimization (PSO) method, which is an evolutionary computation method inspired by genetic algorithms (GA). Appropriate regression models are utilized within the PSO and optimum selection of micromilling parameters; microchannel feature accuracy and surface roughness are performed. An analysis for optimal micromachining parameters in decision variable space is also conducted. This study demonstrates the advantages of evolutionary computing algorithms in micromilling decision making and process optimization investigations and can be expanded to other applications

Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks

This study evaluates the application of an intelligent hybrid system for time-series forecasting of atmospheric pollutant concentration levels. The proposed method consists of an artificial neural network combined with a particle swarm optimization algorithm. The method not only searches relevant time lags for the correct characterization of the time series, but also determines the best neural network architecture. An experimental analysis is performed using four real time series and the results are shown in terms of six performance measures. The experimental results demonstrate that the proposed methodology achieves a fair prediction of the presented pollutant time series by using compact networks.

Successful new venturing process implemented by the founding entrepreneur: A case of Finnish sawmill industry

The fundamental purpose of this research is to emphasise a founding entrepreneur’s own role in the construction of a successful business story, with the focus being on the analysis of the entrepreneur’s activities. The theoretical section sheds light on the heterogeneous nature of existing performance research and, thereby, opens the way for the behavioural approach research of entrepreneurs in the field of new venture performance research. This research can be seen to be in line with the latest trends in entrepreneurship research, which question the applicability of different organisational theories in entrepreneurship research. For this reason, the founding entrepreneur has been chosen, instead of the company, to be the unit of analysis in this research in order to lighten the link in question while developing and refining new knowledge in the field of entrepreneurship. The empirical section of this research focuses on the entrepreneur’s own actions or behaviours that can be seen to be associated with the company’s success. Although some of these actions may resemble the strategic actions of a company as defined in strategic management literature, these actions taken by the entrepreneur themselves must be distinguished from the different organisational actions. Usually, an entrepreneur makes decisions rather independently, mainly on basis of their own intuition and prevailing market conditions, whereas organisational actions are very systematic, and each decision involves many different people. For this reason, an entrepreneur’s actions must be distinguished from organisational actions. In additional to different action paths, the empirical data collected for this research also offers almost unambiguous proof that the actions taken by an entrepreneur at the different stages of a company’s development do play a crucial role in the success of the companies studied in this research. In this way, it is possible to identify a significant link between the behavioural approach research of entrepreneurs and new venture performance research. Due to a lack of behavioural research into founding entrepreneurs, this research has utilised a qualitative (hermeneutic) research approach. The researcher strove to establish a particularly close connection with the entrepreneurs that were studied here and, thus, understand the actions taken at the different stages of their companies’ development as well as the motives and fundamental purposes of these actions. It would not have been possible to manage such profound data that focuses on causalities by using quantitative methods. In addition to interviews, this research used corporate histories of the companies for collecting some of the research data. These corporate histories can be considered excellent tools for the researcher to obtain a preliminary understanding and can, thereby, be seen to have laid the ground for more in-depth and diverse analyses.

Founding Members

The founding members of the Niagara Peninsula Joint Committee On Higher Education. The two men on the right are Ivan Buchanan and Fred Campbell. The Committee later grew into the Board of Governors which was then renamed the Board of Trustees.

Founding Figures

Pictured here from left to right are: Premier John Robarts, Mrs. Grover Egertor of the Allanburg Women's Institute, the woman who first came up with the idea of forming a University in the Niagara Region, Mrs. Bearss, the former chairwoman of the Women's Institute when the project was proposed, and Dr. Arthur A. Schmon, chairman of the Founder's Committee. This photo was taken at a dinner in Niagara Falls in 1963 that marked the official launch of the Brock University Project.

Founding Plaque Programme

A programme for the 1969 ceremony unveiling the Founding Plaque.

Founding Plaque Unveiling

The plaque commemorating the history of Brock is unveiled outside Thistle Complex.

Founding Plaque Unveiling

Dr. Gibson speaks during the unveiling of a historical plaque at Brock.

Founding Plaque Unveiling

Pictured here from left to right are: Dr. Gibson, President of Brock University; James N. Allen, Chairman of the Niagara Parks Commision; MacKenzie Chown, Mayor; and Prof J. M. S. Careless co-chairman of the provinces archaelogical and historic sites board and professor at U of T.

Letter from the Secretary of the Navy, transmitting the official account of the capture of the British sloop of War, Reindeer, by the United States sloop Wasp, commanded by Captain Johnston Blakeley, on the twenty-eighth June last.--

"A list of British vessels captured by the United States' sloop of War Wasp, J. Blakeley esg. commander, between May 1st and July 6th, 1814".Folded table at end.

Particle swarm optimization for two-connected networks with bounded rings

The Two-Connected Network with Bounded Ring (2CNBR) problem is a network design problem addressing the connection of servers to create a survivable network with limited redirections in the event of failures. Particle Swarm Optimization (PSO) is a stochastic population-based optimization technique modeled on the social behaviour of flocking birds or schooling fish. This thesis applies PSO to the 2CNBR problem. As PSO is originally designed to handle a continuous solution space, modification of the algorithm was necessary in order to adapt it for such a highly constrained discrete combinatorial optimization problem. Presented are an indirect transcription scheme for applying PSO to such discrete optimization problems and an oscillating mechanism for averting stagnation.

The nesting biology of Ceratina (Hymenoptera: Apidae) in the Niagara Region : new species, nest site selection and parasitism

One of the most common bee genera in the Niagara Region, the genus Ceratina (Hymenoptera: Apidae) is composed of four species, C. dupla, C. calcarata, the very rare C. strenua, and a previously unknown species provisionally named C. near dupla. The primary goal of this thesis was to investigate how these closely related species coexist with one another in the Niagara ~ee community. The first necessary step was to describe and compare the nesting biologies and life histories of the three most common species, C. dupla, C. calcarata and the new C. near dupla, which was conducted in 2008 via nest collections and pan trapping. Ceratina dupla and C. calcarata were common, each comprising 49% of the population, while C. near dupla was rare, comprising only 2% of the population. Ceratina dupla and C. near dupla both nested more commonly in teasel (Dipsacus sp.) in the sun, occasionally in raspberry (Rubus sp.) in the shade, and never in shady sumac (Rhus sp.), while C. calcarata nested most commonly in raspberry and sumac (shaded) and occasionally in teasel (sunny). Ceratina near dupla differed from both C. dupla and C. calcarata in that it appeared to be partially bivoltine, with some females founding nests very early and then again very late in the season. To examine the interactions and possible competition for nests that may be taking place between C. dupla and C. calcarata, a nest choice experiment was conducted in 2009. This experiment allowed both species to choose among twigs from all three substrates in the sun and in the shade. I then compared the results from 2008 (where bees chose from what was available), to where they nested when given all options (2009 experiment). Both C. dupla and C. calcarata had the same preferences for microhabitat and nest substrate in 2009, that being raspberry and sumac twigs in the sun. As that microhabitat and nest substrate combination is extremely rare in nature, both species must make a choice. In nature Ceratina dupla nests more often in the preferred microhabitat (sun), while C. calcarata nests in the preferred substrate (raspberry). Nesting in the shade also leads to smaller clutch sizes, higher parasitism and lower numbers of live brood in C. calcarata, suggesting that C. dupla may be outcompeting C. calcarata for the sunny nesting sites. The development and host preferences of Ceratina parasitoids were also examined. Ceratina species in Niagara were parasitized by no less than eight species of arthropod. Six of these were wasps from the superfamily Chalcidoidea (Hymenoptera), one was a wasp from the family Ichneumonidae (Hymenoptera) and one was a physogastric mite from the family Pyemotidae (Acari). Parasites shared a wide range of developmental strategies, from ichneumonid larvae that needed to consume multiple Ceratina immatures to complete development, to the species from the Eulophidae (Baryscapus) and Encyrtidae (Coelopencyrtus), in which multiple individuals completed development inside a single Ceratina host. Biological data on parasitoids is scarce in the scientific literature, and this Chapter documents these interactions for future research.