The Hydro-Electric Power Commission of Ontario: address. (1923)

The Public Ownership League of America Conference, September 10th to 13th, 1923, at Toronto, Ontario.

Role of E3-ligase parkin in mitochondrial quality control in a cardiotoxicity model to anthracyclines

Dues à leur importance croissante dans la dégénérescence musculaire, les mitochondries sont de plus en plus étudiées en relation à diverses myopathies. Leurs mécanismes de contrôle de qualité sont reconnus pour leur rôle important dans la santé mitochondrial. Dans cette étude, nous tentons de déterminer si le déficit de mitophagie chez les souris déficiente du gène Parkin causera une exacerbation des dysfonctions mitochondriales normalement induite par la doxorubicine. Nous avons analysé l’impact de l’ablation de Parkin en réponse à un traitement à la doxorubicine au niveau du fonctionnement cardiaque, des fonctions mitochondriales et de l’enzymologie mitochondriale. Nos résultats démontrent qu’à l’état basal, l’absence de Parkin n’induit pas de pathologie cardiaque mais est associé à des dysfonctions mitochondriales multiples. La doxorubicine induit des dysfonctions respiratoires, du stress oxydant mitochondrial et une susceptibilité à l’ouverture du pore de transition de perméabilité (PTP). Finalement, contrairement à notre hypothèse, l’absence de Parkin n’accentue pas les dysfonctions mitochondriales induites par la doxorubicine et semble même exercer un effet protecteur.

Computer vision techniques in seafood quality control

The application of computer vision based quality control has been slowly but steadily gaining importance mainly due to its speed in achieving results and also greatly due to its non- destnictive nature of testing. Besides, in food applications it also does not contribute to contamination. However, computer vision applications in quality control needs the application of an appropriate software for image analysis. Eventhough computer vision based quality control has several advantages, its application has limitations as to the type of work to be done, particularly so in the food industries. Selective applications, however, can be highly advantageous and very accurate.Computer vision based image analysis could be used in morphometric measurements of fish with the same accuracy as the existing conventional method. The method is non-destructive and non-contaminating thus providing anadvantage in seafood processing.The images could be stored in archives and retrieved at anytime to carry out morphometric studies for biologists.Computer vision and subsequent image analysis could be used in measurements of various food products to assess uniformity of size. One product namely cutlet and product ingredients namely coating materials such as bread crumbs and rava were selected for the study. Computer vision based image analysis was used in the measurements of length, width and area of cutlets. Also the width of coating materials like bread crumbs was measured.Computer imaging and subsequent image analysis can be very effectively used in quality evaluations of product ingredients in food processing. Measurement of width of coating materials could establish uniformity of particles or the lack of it. The application of image analysis in bacteriological work was also done

Legal regime of quality control in goods

It has long been said that market itself is the ideal regulator of all evils that may come up among traders. Free and fair competition among manufacturers in the market will adequately ensure a fair dealing to the consumers. However, these are pious hopes. that markets anywhere in the world could not accomplish so far. Consumers are being sought to be lured by advertisements issued by manufacturers and sellers that are found often false and misleading. Untrue statements and claims about quality and performance of the products virtually deceive them. The plight of the consumers remains as an unheard cry in the wildemess. In this sorry state of affairs, it is quite natural that the consumers look to the governments for a helping hand. It is seen that the governmental endeavours to ensure quality in goods are diversified. Different tools are formulated and put to use, depending upon the requirements necessitated by the facts and circumstances. This thesis is an enquiry into these measures

Neural networks for power systems alarm handling

A multi-layered architecture of self-organizing neural networks is being developed as part of an intelligent alarm processor to analyse a stream of power grid fault messages and provide a suggested diagnosis of the fault location. Feedback concerning the accuracy of the diagnosis is provided by an object-oriented grid simulator which acts as an external supervisor to the learning system. The utilization of artificial neural networks within this environment should result in a powerful generic alarm processor which will not require extensive training by a human expert to produce accurate results.