Una testimonianza silenziosa.Storia della Chiesa cattolica in Tunisia dal Trattato del Bardo alla ‘rivoluzione dei gelsomini’

The work examines the change involving the Church in Tunisia from the period of the Protectorate to the present through the fundamental moments of independence (1956) and the signing of the ‘Modus vivendi’ (1964). In the first structure of the “modern” Church, a fundamental role was played by the complex figure of the French Cardinal Charles-Allemand Lavigerie who, while giving strong impulse to setting up disinterested charitable social initiatives by the congregations (Pères Blancs, Soeurs Blanches and others), also represented the ideal of the ‘evangelizing’ (as well as colonial) Church which, despite its declared will to avoid proselytism, almost inevitably tended to slip into it. During the French Protectorate (1881-1956) the ecclesiastic institution concentrated strongly on itself, with little heed for the sensitivity of its host population, and developed its activities as if it were in a European country. From the social standpoint, the Church was mostly involved in teaching, which followed the French model, and health facilities. In the Church only the Pères Blancs missionaries were sincerely committed to promoting awareness of the local context and dialogue with the Muslims. The Catholic clergy in the country linked its religious activity close to the policy of the Protectorate, in the hope of succeeding in returning to the ancient “greatness of the African Church”, as the Eucharistic Congress in Carthage in 1930 made quite clear. The Congress itself planted the first seed in the twentyfive- year struggle that led the Tunisian population to independence in 1956 and the founding of the Republic in 1957. The conquest of independence and the ‘Modus vivendi’ marked a profound change in the situation and led to an inversion of roles: the Catholic community was given the right to exist only on the condition that it should not interfere in Tunisian society. The political project of Bourguiba, who led the Republic from 1957 to 1987, aimed to create a strongly egalitarian society, with a separation between political and religious powers. In particular, in referring to the Church, he appeared as a secularist with no hostility towards the Catholics who were, however, considered as “cooperators”, welcome so long as they were willing to place their skills at the service of the construction of the state. So, in the catholic Community was a tension between the will of being on the side of the country and that of conserving a certain distance from it and not being an integral part of it. In this process of reflection, the role of the Second Vatican Council was fundamental: it spread the idea of a Church open to the world and the other religions, in particular to Islam: the teaching of the Council led the congregations present in the country to accept the new condition. This new Church that emerged from the Council saw some important events in the process of “living together”, of “cultural mixing” and the search for a common ground between different realities. The almost contemporary arrival of Arab bishops raised awareness among the Tunisians of the existence of Christian Arabs and, at the same time, the Catholic community began considering their faith in a different way. In the last twenty years the situation has continued to change. Side by side with the priests present for decades or even those born there, some new congregations have begun to operate, albeit in small numbers: they have certainly revitalized the community of the faithful, but they sometimes appear more devoted to service “within” the Church, than to services for the population, and are thus characterized by exterior manifestations of their religion. This sort of presence has made it possible for Bourguiba's successor, Ben Ali (president from 1987 to 2011), to practice forms of tolerance even more clearly, but always limited to formal relations; the Tunisians are still far from having a real understanding of the Catholic reality, with certain exceptions connected to relations on a personal and not structured plane, as was the case in the previous period. The arrival of a good number of young people from sub-Saharan Africa, most of all students, belonging to the JCAT, and personnel of the BAD has “Africanized” the Church in Tunisia and has brought about an increase in Christians' exterior manifestations; but this is a visibility that is not blatant but discreet, with the implicit risk of the Church continuing to be perceived as a sort of exterior body, alien to the country; nor can we say, lacking proper documentation, how it will be possible to build a bridge between different cultures through the “accompaniment” of Christian wives of Tunisians. Today, the Church is living in a country that has less and less need of it; its presence, in the schools and in health facilities, is extremely reduced. And also in other sectors of social commitment, such as care for the disabled, the number of clergymen involved is quite small. The ‘revolution’ in 2011 and the later developments up to the present have brought about another socio-political change, characterized by a climate of greater freedom, but with as yet undefinable contours. This change in the political climate will inevitable have consequences in Tunisia’s approach to religious and cultural minorities, but it is far too soon to discuss this on the historical and scientific planes.

Constructing extensions of CP-maps via tensor dilations with rhe help of von Neumann modules

Gohm, Rolf; Skeide, M., (2005) 'Constructing extensions of CP-maps via tensor dilations with rhe help of von Neumann modules', Infinite Dimensional Analysis, Quantum Probability and Related Topics 8(2) pp.291-305 RAE2008

A probabilistic index for completely positive maps and an application

Gohm, Rolf, (2003) 'A probabilistic index for completely positive maps and an application', Journal of Operator Theory 54(2) pp.339-361 RAE2008

The jubilee story of the China Inland Mission : with portraits, illustrations & maps / by Marshall Broomhall.

http://www.archive.org/details/jubileechinamis00broouoft

The Encyclopaedia of missions : descriptive, historical, biographical, statistical : with a full assortment of maps, a complete bibliography, and lists of Bible versions, missionary societies, mission stations, and a general index / edited by Edwin Munsell Bliss.

http://www.archive.org/details/encyclopaediamis02unknuoft

Speaker Normalization Using Cortical Strip Maps: A Neural Model for Steady State Vowel Identification

Auditory signals of speech are speaker-dependent, but representations of language meaning are speaker-independent. Such a transformation enables speech to be understood from different speakers. A neural model is presented that performs speaker normalization to generate a pitchindependent representation of speech sounds, while also preserving information about speaker identity. This speaker-invariant representation is categorized into unitized speech items, which input to sequential working memories whose distributed patterns can be categorized, or chunked, into syllable and word representations. The proposed model fits into an emerging model of auditory streaming and speech categorization. The auditory streaming and speaker normalization parts of the model both use multiple strip representations and asymmetric competitive circuits, thereby suggesting that these two circuits arose from similar neural designs. The normalized speech items are rapidly categorized and stably remembered by Adaptive Resonance Theory circuits. Simulations use synthesized steady-state vowels from the Peterson and Barney [J. Acoust. Soc. Am. 24, 175-184 (1952)] vowel database and achieve accuracy rates similar to those achieved by human listeners. These results are compared to behavioral data and other speaker normalization models.

Vector Associative Maps: Unsupervised Real-time Error-based Learning and Control of Movement Trajectories

This article describes neural network models for adaptive control of arm movement trajectories during visually guided reaching and, more generally, a framework for unsupervised real-time error-based learning. The models clarify how a child, or untrained robot, can learn to reach for objects that it sees. Piaget has provided basic insights with his concept of a circular reaction: As an infant makes internally generated movements of its hand, the eyes automatically follow this motion. A transformation is learned between the visual representation of hand position and the motor representation of hand position. Learning of this transformation eventually enables the child to accurately reach for visually detected targets. Grossberg and Kuperstein have shown how the eye movement system can use visual error signals to correct movement parameters via cerebellar learning. Here it is shown how endogenously generated arm movements lead to adaptive tuning of arm control parameters. These movements also activate the target position representations that are used to learn the visuo-motor transformation that controls visually guided reaching. The AVITE model presented here is an adaptive neural circuit based on the Vector Integration to Endpoint (VITE) model for arm and speech trajectory generation of Bullock and Grossberg. In the VITE model, a Target Position Command (TPC) represents the location of the desired target. The Present Position Command (PPC) encodes the present hand-arm configuration. The Difference Vector (DV) population continuously.computes the difference between the PPC and the TPC. A speed-controlling GO signal multiplies DV output. The PPC integrates the (DV)·(GO) product and generates an outflow command to the arm. Integration at the PPC continues at a rate dependent on GO signal size until the DV reaches zero, at which time the PPC equals the TPC. The AVITE model explains how self-consistent TPC and PPC coordinates are autonomously generated and learned. Learning of AVITE parameters is regulated by activation of a self-regulating Endogenous Random Generator (ERG) of training vectors. Each vector is integrated at the PPC, giving rise to a movement command. The generation of each vector induces a complementary postural phase during which ERG output stops and learning occurs. Then a new vector is generated and the cycle is repeated. This cyclic, biphasic behavior is controlled by a specialized gated dipole circuit. ERG output autonomously stops in such a way that, across trials, a broad sample of workspace target positions is generated. When the ERG shuts off, a modulator gate opens, copying the PPC into the TPC. Learning of a transformation from TPC to PPC occurs using the DV as an error signal that is zeroed due to learning. This learning scheme is called a Vector Associative Map, or VAM. The VAM model is a general-purpose device for autonomous real-time error-based learning and performance of associative maps. The DV stage serves the dual function of reading out new TPCs during performance and reading in new adaptive weights during learning, without a disruption of real-time operation. YAMs thus provide an on-line unsupervised alternative to the off-line properties of supervised error-correction learning algorithms. YAMs and VAM cascades for learning motor-to-motor and spatial-to-motor maps are described. YAM models and Adaptive Resonance Theory (ART) models exhibit complementary matching, learning, and performance properties that together provide a foundation for designing a total sensory-cognitive and cognitive-motor autonomous system.

Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps

A new neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors. The architecture, called Fuzzy ARTMAP, achieves a synthesis of fuzzy logic and Adaptive Resonance Theory (ART) neural networks by exploiting a close formal similarity between the computations of fuzzy subsethood and ART category choice, resonance, and learning. Fuzzy ARTMAP also realizes a new Minimax Learning Rule that conjointly minimizes predictive error and maximizes code compression, or generalization. This is achieved by a match tracking process that increases the ART vigilance parameter by the minimum amount needed to correct a predictive error. As a result, the system automatically learns a minimal number of recognition categories, or "hidden units", to met accuracy criteria. Category proliferation is prevented by normalizing input vectors at a preprocessing stage. A normalization procedure called complement coding leads to a symmetric theory in which the MIN operator (Λ) and the MAX operator (v) of fuzzy logic play complementary roles. Complement coding uses on-cells and off-cells to represent the input pattern, and preserves individual feature amplitudes while normalizing the total on-cell/off-cell vector. Learning is stable because all adaptive weights can only decrease in time. Decreasing weights correspond to increasing sizes of category "boxes". Smaller vigilance values lead to larger category boxes. Improved prediction is achieved by training the system several times using different orderings of the input set. This voting strategy can also be used to assign probability estimates to competing predictions given small, noisy, or incomplete training sets. Four classes of simulations illustrate Fuzzy ARTMAP performance as compared to benchmark back propagation and genetic algorithm systems. These simulations include (i) finding points inside vs. outside a circle; (ii) learning to tell two spirals apart; (iii) incremental approximation of a piecewise continuous function; and (iv) a letter recognition database. The Fuzzy ARTMAP system is also compared to Salzberg's NGE system and to Simpson's FMMC system.

Structure maps for hcp metals from first-principles calculations

The ability to predict the existence and crystal type of ordered structures of materials from their components is a major challenge of current materials research. Empirical methods use experimental data to construct structure maps and make predictions based on clustering of simple physical parameters. Their usefulness depends on the availability of reliable data over the entire parameter space. Recent development of high-throughput methods opens the possibility to enhance these empirical structure maps by ab initio calculations in regions of the parameter space where the experimental evidence is lacking or not well characterized. In this paper we construct enhanced maps for the binary alloys of hcp metals, where the experimental data leaves large regions of poorly characterized systems believed to be phase separating. In these enhanced maps, the clusters of noncompound-forming systems are much smaller than indicated by the empirical results alone. © 2010 The American Physical Society.

Specializing pedestrian maps to address the needs of people using wheelchairs: a case study in community-sustainable information systems

Gemstone Team FASTR (Finding Alternative Specialized Travel Routes)

Components of error of maps from remotely sensed images

The concept of a “true” ground-truth map is introduced, from which the inaccuracy/error of any production map may be measured. A partition of the mapped region is defined in terms of the “residual rectification” transformation. Geometric RMS-type and Geometric Distortion error criteria are defined as well as a map mis-classification error criterion (the latter for hard and fuzzy produc-tion maps). The total map error is defined to be the sum (over each set of the map partition men-tioned above) of these three error components integrated over each set of the partition.

Composite front maps for improved visibility of dynamic sea-surface features on cloudy SeaWiFS and AVHRR data

Novel techniques have been developed for increasing the value of cloud-affected sequences of Advanced Very High Resolution Radiometer (AVHRR) sea-surface temperature (SST) data and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) ocean colour data for visualising dynamic physical and biological oceanic processes such as fronts, eddies and blooms. The proposed composite front map approach is to combine the location, strength and persistence of all fronts observed over several days into a single map, which allows intuitive interpretation of mesoscale structures. This method achieves a synoptic view without blurring dynamic features, an inherent problem with conventional time-averaging compositing methods. Objective validation confirms a significant improvement in feature visibility on composite maps compared to individual front maps. A further novel aspect is the automated detection of ocean colour fronts, correctly locating 96% of chlorophyll fronts in a test data set. A sizeable data set of 13,000 AVHRR and 1200 SeaWiFS scenes automatically processed using this technique is applied to the study of dynamic processes off the Iberian Peninsula such as mesoscale eddy generation, and many additional applications are identified. Front map animations provide a unique insight into the evolution of upwelling and eddies.