Land wars in India: Contestations, social forces and evolving neoliberal urban transformation

Land wars in India: Contestations, social forces and evolving neoliberal urban transformation
The recent incidents of ‘land wars’ in India have highlighted the contradictions and challenges of the neoliberal urban transformation through a range of issues across governance, equity and empowerment in the development agenda. Simply put, a strong top down approach and corporate-political nexus have determined the modality of land acquisition, compensation and ultimately the nature of its consumption leaving out majority urban poor from its benefits. The paper focuses on the concept of neoliberalism as a modality of urban governance and emergence of the grassroots activism as a countermagnate to neoliberalist hegemony by examining the inequity and marginalization that embody these ‘land wars’ in India and the forms of resistance from the grassroots - their capacity, relationship and modus operandi. Emerging lessons suggest the potential for advancing governance from the bottoms up leading to more equitable distribution of resources. It is however argued that there is a need for a stronger conception of the ‘grassroots’ in both epistemological and empirical context. In particular, the preconditions for the ‘grassroots organisations’ to foster and play a more effective role requires a more inclusive notion of ‘institutionality and plurality’ within the current political economic context. The empirical focus of the paper is ‘land wars’ observed in Kolkata, West Bengal, however references to other examples across the country have also been made.

Evolving nature of the AP2 alpha-appendage hub during clathrin-coated vesicle endocytosis

Clathrin-mediated endocytosis involves the assembly of a network of proteins that select cargo, modify membrane shape and drive invagination, vesicle scission and uncoating. This network is initially assembled around adaptor protein (AP) appendage domains, which are protein interaction hubs. Using crystallography, we show that FxDxF and WVxF peptide motifs from synaptojanin bind to distinct subdomains on alpha-appendages, called 'top' and 'side' sites. Appendages use both these sites to interact with their binding partners in vitro and in vivo. Occupation of both sites simultaneously results in high-affinity reversible interactions with lone appendages (e.g. eps15 and epsin1). Proteins with multiple copies of only one type of motif bind multiple appendages and so will aid adaptor clustering. These clustered alpha(appendage)-hubs have altered properties where they can sample many different binding partners, which in turn can interact with each other and indirectly with clathrin. In the final coated vesicle, most appendage binding partners are absent and thus the functional status of the appendage domain as an interaction hub is temporal and transitory giving directionality to vesicle assembly.

Evolving techniques for monitoring geotechnical risk on the Antrim Coast Road.

The interaction between problematic geology and environmental variables along the Antrim Coast Road results in frequent instances of geotechnical instability. During such instances of instability, mudslide debris encroaches on the carriageway posing a hazard to motorists, causing lengthily tailbacks. This paper examines some of the geotechnical and spatial analysis techniques currently being implemented to monitor slope stability on this key transport route.

Evolving techniques for characterising and monitoring the stability of infrastructure slopes

Landslides and debris flows, commonly triggered by rainfall, pose a geotechnical risk causing disruption to transport routes and incur significant financial expenditure. With infrastructure maintenance budgets becoming ever more constrained, this paper provides an overview of some of the developing methods being implemented by Queen’s University, Belfast in collaboration with the Department for Regional Development to monitor the stability of two distinctly different infrastructure slopes in Northern Ireland. In addition to the traditional, intrusive ground investigative and laboratory testing methods, aerial LiDAR, terrestrial LiDAR, geophysical techniques and differential Global Positioning Systems have been used to monitor slope stability. Finally, a comparison between terrestrial LiDAR, pore water pressure and soil moisture deficit (SMD) is presented to outline the processes for a more informed management regime and to highlight the season relationship between landslide activity and the aforementioned parameters.

Enabling and Measuring Complexity in Evolving Designs using Generative Representations for Artificial Architecture

As the complexity of evolutionary design problems grow, so too must the quality of solutions scale to that complexity. In this research, we develop a genetic programming system with individuals encoded as tree-based generative representations to address scalability. This system is capable of multi-objective evaluation using a ranked sum scoring strategy. We examine Hornby's features and measures of modularity, reuse and hierarchy in evolutionary design problems. Experiments are carried out, using the system to generate three-dimensional forms, and analyses of feature characteristics such as modularity, reuse and hierarchy were performed. This work expands on that of Hornby's, by examining a new and more difficult problem domain. The results from these experiments show that individuals encoded with those three features performed best overall. It is also seen, that the measures of complexity conform to the results of Hornby. Moving forward with only this best performing encoding, the system was applied to the generation of three-dimensional external building architecture. One objective considered was passive solar performance, in which the system was challenged with generating forms that optimize exposure to the Sun. The results from these and other experiments satisfied the requirements. The system was shown to scale well to the architectural problems studied.

The Evolving Mind-Body Alliance: A Handbook for Educators

This study examined anatomical and physiological connections between brain and body in relation to academic, physical, social, emotional, and behavioural benefits of physical activity in elementary schools. A handbook titled The Evolving Mind-Body Alliance: Physical Activities Incorporated Into the Ontario Science Curriculum—A Handbook for Educators, Schools, and School Boards was developed based on evidence that physical activity can benefit students academically, physically, and emotionally. Handbook activities were created for implementation into science lessons, with direct connections to the Ontario Science Curriculum (OSC), based on curriculum expectation goals and vision for science, including a majority of experiential learning and application knowledge, and because of students’ difficulty relating to science’s abstract concepts and terms. A review of literature about brain-body connection and benefits of movement in the classroom revealed that the defining features of the handbook should be (a) incorporation of physical activities that directly relate to the OSC, (b) require minimal resources to implement, and (c) provide a direct link to the OSC. Needs assessments were performed to gather the data from professionals in the field on the OSC and on the mandated daily physical activity. The handbook was reviewed by 3 teaching professionals in order to claim face validity of the document. The results of the project indicate that the handbook which was produced meets its goals of creating a product that is easy to use, practical, and effective for both educators and children in promoting the awareness of the brain-body connection and importance of learning through movement.

Investing Online: Concerns about the Evolving Use of the Internet as an Investment Tool in the Secondary Market Context

La croissance dramatique du commerce électronique des titres cache un grand potentiel pour les investisseurs, de même que pour l’industrie des valeurs mobilières en général. Prenant en considération ses risques particuliers, les autorités réglementaires vivent un défi important face à l’Internet en tant que nouveau moyen d’investir. Néanmoins, malgré l’évolution technologique, les objectifs fondamentaux et l’approche des autorités réglementaires restent similaires à ce qui se produit présentement. Cet article analyse l’impact de l’Internet sur le commerce des valeurs mobilières en se concentrant sur les problèmes soulevés par l’utilisation de ce nouveau moyen de communication dans le contexte du marché secondaire. Par conséquent, son objectif est de dresser le portrait des plaintes typiques des investisseurs, de même que celui des activités frauduleuses en valeurs mobilières propres au cyberespace. L’auteur fait une synthèse des développements récents en analysant l’approche des autorités réglementaires, les études doctrinales, la jurisprudence et les cas administratifs. L'auteure désire remercier la professeure Raymonde Crête pour ses précieux commentaires et conseils.

Analysing artefacts dependencies to evolving software systems

Les logiciels sont en constante évolution, nécessitant une maintenance et un développement continus. Ils subissent des changements tout au long de leur vie, que ce soit pendant l'ajout de nouvelles fonctionnalités ou la correction de bogues. Lorsque les logiciels évoluent, leurs architectures ont tendance à se dégrader et deviennent moins adaptables aux nouvelles spécifications des utilisateurs. En effet, les architectures de ces logiciels deviennent plus complexes et plus difficiles à maintenir à cause des nombreuses dépendances entre les artefacts. Par conséquent, les développeurs doivent comprendre les dépendances entre les artefacts des logiciels pour prendre des mesures proactives qui facilitent les futurs changements et ralentissent la dégradation des architectures des logiciels. D'une part, le maintien d'un logiciel sans la compréhension des les dépendances entre ses artefacts peut conduire à l'introduction de défauts. D'autre part, lorsque les développeurs manquent de connaissances sur l'impact de leurs activités de maintenance, ils peuvent introduire des défauts de conception, qui ont un impact négatif sur l'évolution du logiciel. Ainsi, les développeurs ont besoin de mécanismes pour comprendre comment le changement d'un artefact impacte le reste du logiciel. Dans cette thèse, nous proposons trois contributions principales : La spécification de deux nouveaux patrons de changement et leurs utilisations pour fournir aux développeurs des informations utiles concernant les dépendances de co-changement. La spécification de la relation entre les patrons d'évolutions des artefacts et les fautes. La découverte de la relation entre les dépendances des anti-patrons et la prédisposition des différentes composantes d'un logiciel aux fautes.

Rights of the Prisoner: An Evolving Jurisprudence

Imprisonment is the most common method of punishment resorted to by almost all legal systems.The new theories of crime causation propounded in the latter half of the nineteenth century gave rise to the feeling that the prisons could be used as appropriate institutions for reforming the offenders. It called for individualisation of punishment.As a result of international movements for humanisation of prisons the judiciary' in tine common law countries started taking active interest in prisoner's treatment.Various studies reveal that much has been done in America to improve the lot of prisoners and to treat them as human beings.The courts there have gone to the extent of saying that there is no iron curtain between a prisoner and the constitution. Most of the rights available to citizens except those which they cannot enjoy due to the conditions of incarceration have also been granted to prisoner.In India also the judiciary has come forward to protect the rights of the prisoners.Maneka Gandhi is a turning point in prisoner's rights.The repeated intervention of courts in prison administration project the view that prisoners have been denied the basic human rights.The High Courts and the Supreme Court of India have been gradually exercising jurisdiction ixl assuming prison justice, including improving the quality of food and amenities, payment of wages and appropriate standards of medical care. Access to courts must be made easier to the aggrieved prisoners.The government should come forward along with some public spirited citizens and voluntary organisations to form a "discharged prisoner“ aid society. The society should exploit opportunities for rehabilitation of prisoners after their release.Most of the prison buildings in the State of Kerala are ill-equipped, ill furnished and without proper ventilation or sanitation and with insufficient water supply arrangements.In India prisoners and prisons today are governed by the old central legislations like Prisons Act l894 Prisoners Act 1900 and the Transfer of Prisoners Act 1950.

An Improved Technique for Evolving Wavelet Coefficients for Fingerprint Image Compression

In this paper, an improved technique for evolving wavelet coefficients refined for compression and reconstruction of fingerprint images is presented. The FBI fingerprint compression standard [1, 2] uses the cdf 9/7 wavelet filter coefficients. Lifting scheme is an efficient way to represent classical wavelets with fewer filter coefficients [3, 4]. Here Genetic algorithm (GA) is used to evolve better lifting filter coefficients for cdf 9/7 wavelet to compress and reconstruct fingerprint images with better quality. Since the lifting filter coefficients are few in numbers compared to the corresponding classical wavelet filter coefficients, they are evolved at a faster rate using GA. A better reconstructed image quality in terms of Peak-Signal-to-Noise-Ratio (PSNR) is achieved with the best lifting filter coefficients evolved for a compression ratio 16:1. These evolved coefficients perform well for other compression ratios also.

Das OEE-Protein 1 des Photosystem II (oxygen evolving enhancer) der Grünalge Scenedesmus obliquus besitzt Thioredoxin-Aktivität

Die Aminosäure-Sequenzierung an dem als "28 kDa-Thioredoxin f" beschriebenen Protein aus der Grünalge Scenedesmus obliquus hat gezeigt, dass dieses Protein mit dem als OEE bekannten Protein 1 aus dem Photosystem II identisch ist. Die früher postulierte Möglichkeit einer Fusion eines Thioredoxins mit einem Protein unbekannter Natur oder Insertion eines Thioredoxinfragments mit der typischen -Trp-Cys-Gly-Pro-Cys-Sequenz in ein solches Protein hat sich nicht bestätigt. Durch Anwendung einer auf das 33 kDa OEE-Protein ausgerichteten Präparationsmethode konnte gezeigt werden, dass das "28 kDa-Trx f" tatsächlich in den Thylakoidmembranen lokalisiert ist. Das Protein kann so innerhalb eines Tages in hoher Reinheit aus den Thylakoidmembranfragmenten eines Algenrohhomogenats isoliert werden; dabei bleibt die Fähigkeit des OEE-Proteins das chloroplastidäre Enzym Fructosebisphosphatase (FbPase) zu stimulieren erhalten. Mit gleichen Methoden wurden die Grünalgen Chlorella vulgaris und Chlamydomonas reinhardtii auf außergewöhnliche Proteine mit Trx-f Aktivität untersucht. Die hitze- und säurestabile Proteinfraktion aus Chlorella vulgaris enthält ein Protein mit vergleichbarer Molmasse von 26 kDa, das ähnlich wie in Scenedesmus eine Stimulation der chloroplastidären Fructosebisphosphatase zeigt. In dem hitze- und säurestabilen Proteinextrakt aus Chlamydomonas reinhardtii wird solche Aktivität nicht beobachtet. Eine Probe des rekombinanten, homogenen OEE-Proteins aus Spinat wurde auf Stimulation der chloroplastidären FbPase und NADPH-abhängigen Malatdehydrogenase (MDH) untersucht. Das Spinat OEE-Protein 1 zeigt mit diesen Enzymen keine Aktivität. Da das OEE-Protein 1 in Scenedesmus starke FbPase-Stimulation zeigt, die anderen Scenedesmus-Thioredoxine mit Molmassen von 12 kDa (Trx I und II) jedoch hohe Aktivität mit der zellulären Ribonucleotidreduktase zeigen, wird postuliert, dass das OEE-Protein die Funktion des Trx-f in vivo ersetzt.

Evolving Classifiers - Evolutionary Algorithms in Data Mining

Data mining means to summarize information from large amounts of raw data. It is one of the key technologies in many areas of economy, science, administration and the internet. In this report we introduce an approach for utilizing evolutionary algorithms to breed fuzzy classifier systems. This approach was exercised as part of a structured procedure by the students Achler, Göb and Voigtmann as contribution to the 2006 Data-Mining-Cup contest, yielding encouragingly positive results.

Evolving Distributed Algorithms with Genetic Programming

Distributed systems are one of the most vital components of the economy. The most prominent example is probably the internet, a constituent element of our knowledge society. During the recent years, the number of novel network types has steadily increased. Amongst others, sensor networks, distributed systems composed of tiny computational devices with scarce resources, have emerged. The further development and heterogeneous connection of such systems imposes new requirements on the software development process. Mobile and wireless networks, for instance, have to organize themselves autonomously and must be able to react to changes in the environment and to failing nodes alike. Researching new approaches for the design of distributed algorithms may lead to methods with which these requirements can be met efficiently. In this thesis, one such method is developed, tested, and discussed in respect of its practical utility. Our new design approach for distributed algorithms is based on Genetic Programming, a member of the family of evolutionary algorithms. Evolutionary algorithms are metaheuristic optimization methods which copy principles from natural evolution. They use a population of solution candidates which they try to refine step by step in order to attain optimal values for predefined objective functions. The synthesis of an algorithm with our approach starts with an analysis step in which the wanted global behavior of the distributed system is specified. From this specification, objective functions are derived which steer a Genetic Programming process where the solution candidates are distributed programs. The objective functions rate how close these programs approximate the goal behavior in multiple randomized network simulations. The evolutionary process step by step selects the most promising solution candidates and modifies and combines them with mutation and crossover operators. This way, a description of the global behavior of a distributed system is translated automatically to programs which, if executed locally on the nodes of the system, exhibit this behavior. In our work, we test six different ways for representing distributed programs, comprising adaptations and extensions of well-known Genetic Programming methods (SGP, eSGP, and LGP), one bio-inspired approach (Fraglets), and two new program representations called Rule-based Genetic Programming (RBGP, eRBGP) designed by us. We breed programs in these representations for three well-known example problems in distributed systems: election algorithms, the distributed mutual exclusion at a critical section, and the distributed computation of the greatest common divisor of a set of numbers. Synthesizing distributed programs the evolutionary way does not necessarily lead to the envisaged results. In a detailed analysis, we discuss the problematic features which make this form of Genetic Programming particularly hard. The two Rule-based Genetic Programming approaches have been developed especially in order to mitigate these difficulties. In our experiments, at least one of them (eRBGP) turned out to be a very efficient approach and in most cases, was superior to the other representations.