Character-driven Narrative Engine. Storytelling System for building interactive narrative experiences

This paper discusses a design methodology for developing interactive storytelling projects based on character-driven stories. Shaped as a three-year research through design, it was applied in the educational context of Politecnico di Milano, School of Design, from 2015 to 2017. To open up the issue of the degree of interactiveness and agency that different media allow toward the story, we merged knowledge from cultural, media and game studies. Aiming at building brave, fresh interactive narratives for contemporary media (analogue, digital or hybrid), each year we experimented the implications of initiating the design activity from a different starting point: 1) archetypal characters, 2) thick and compelling storyworlds, and 3) real testimonies shaped as short stories and fragments of memories. We discuss the different tools and methods employed, and the reasons why behind their evolution through time. Then, we conclude with a critical analysis of the results obtained, looking at the consequences and potentialities of how this narrative process has been applied to the game design field

Design for Narrative Change. A pedagogical model for Interactive Digital Narratives

Narratives mirror shared interpretations of the world. Still, dominant narratives prevail, pushing non-hegemonic narratives in the corner. A change in the creation, interaction and distribution of narratives can support the design of counter-narratives able to feed social change. Interactive Digital Narrative (IDN) can be considered an emerging experimental context in which designers, researchers and practitioners from various domains operate to develop story-based content addressing relevant social or societal issues. The IDN social constructivist role in encouraging or influencing individuals and collectivities towards social change is a relevant design issue especially from an educational perspective. Specifically, it features methodologies and praxis not yet systematised, in need of exploration and formalisation. Recognising the contribution of an approach combining transdisciplinary methods and tools, the article presents a pedagogical model for designing IDNs as complex interactive systems able to impact culture and society based on empirical study from a design course in the higher education context. Composed of theoretical and operational frameworks, the pedagogical model orients the multilayered design process for building engaging, interactive narrative artefacts systematising and operationalising knowledge from the domains of Communication for Social Change, storytelling and IDN in an iterative design process

Philip Morris Corporate Headquarters Building

The temporary support of three city streets, a subway tunnel, and a high-rise office tower during the construction of the Philip Morris Corporate Headquarters Building is discussed. The results of an extensive field exploration program, consisting of test borings, probes, and geologic mapping were evaluated for the design of temporary support systems; i.e., rock anchors and rakers. Borehole extensometers and conventional optical survey techniques were successfully used to monitor movements of the adjacent structures during demolition operations of a building that occupied the site. Minimal movements were measured during demolition. At the northeast corner of the site, six heavily loaded columns were scheduled to bear in mica schist rock above an active subway tunne. Based on an extensive geologic mapping program and a complex series of borings, the rock foliation was founded to be favorably oriented, allowing the footings to be founded in rock above the subway tunnel

Intravenous itraconazole for treating invasive pulmonary aspergillosis in neutropenic patients with acute lymphoblastic leukemia.

Aspergillus infection is associated with a high mortality rate in immunocompromised hosts; more effective drugs for this infection are needed. Oral itraconazole has been studied in neutropenic fungus-infected patients. Using a novel formulation (intravenous) of itraconazole, we successfully treated severe necrotizing pneumonias due to Aspergillus species occurring during a postchemotherapy prolonged aplastic phase in two patients with acute lymphoblastic leukemia

Deep belief network based audio classification for construction sites monitoring

In this paper, we propose a Deep Belief Network (DBN) based approach for the classification of audio signals to improve work activity identification and remote surveillance of construction projects. The aim of the work is to obtain an accurate and flexible tool for consistently executing and managing the unmanned monitoring of construction sites by using distributed acoustic sensors. In this paper, ten classes of multiple construction equipment and tools, frequently and broadly used in construction sites, have been collected and examined to conduct and validate the proposed approach. The input provided to the DBN consists in the concatenation of several statistics evaluated by a set of spectral features, like MFCCs and mel-scaled spectrogram. The proposed architecture, along with the preprocessing and the feature extraction steps, has been described in details while the effectiveness of the proposed idea has been demonstrated by some numerical results, evaluated by using real-world recordings. The final overall accuracy on the test set is up to 98% and is a significantly improved performance compared to other state-of-the-are approaches. A practical and real-time application of the presented method has been also proposed in order to apply the classification scheme to sound data recorded in different environmental scenarios

Revisiting causality, coalgebraically

In this paper we recast the classical Darondeau–Degano’s causal semantics of concurrency in a coalgebraic setting, where we derive a compact model. Our construction is inspired by the one of Montanari and Pistore yielding causal automata, but we show that it is instance of an existing categorical framework for modeling the semantics of nominal calculi, whose relevance is further demonstrated. The key idea is to represent events as names, and the occurrence of a new event as name generation. We model causal semantics as a coalgebra over a presheaf, along the lines of the Fiore–Turi approach to the semantics of nominal calculi. More specifically, we take a suitable category of finite posets, representing causal relations over events, and we equip it with an endofunctor that allocates new events and relates them to their causes. Presheaves over this category express the relationship between processes and causal relations among the processes’ events. We use the allocation operator to define a category of well-behaved coalgebras: it models the occurrence of a new event along each transition. Then we turn the causal transition relation into a coalgebra in this category, where labels only exhibit maximal events with respect to the source states’ poset, and we show that its bisimilarity is essentially Darondeau–Degano’s strong causal bisimilarity. This coalgebra is still infinite-state, but we exploit the equivalence between coalgebras over a class of presheaves and History Dependent automata to derive a compact representation, where states only retain the poset of the most recent events for each atomic subprocess, and are isomorphic up to order-preserving permutations. Remarkably, this reduction of states is automatically performed along the equivalence

Choreography Rehearsal ⋆

Abstract. We propose a methodology for statically predicting the possible interaction patterns of services within a given choreography. We focus on choreographies exploiting the event notification paradigm to manage service interactions. Control Flow Analysis techniques statically approximate which events can be delivered to match the choreography constraints and how the multicast groups can be optimised to handle event notification within the service choreography.

A Class of Automata for the Verification of Infinite, Resource-Allocating Behaviours

Process calculi for service-oriented computing often feature generation of fresh resources. So-called nominal automata have been studied both as semantic models for such calculi, and as acceptors of languages of finite words over infinite alphabets. In this paper we investi-gate nominal automata that accept infinite words. These automata are a generalisation of deterministic Muller automata to the setting of nominal sets. We prove decidability of complement, union, intersection, emptiness and equivalence, and determinacy by ultimately periodic words. The key to obtain such results is to use finite representations of the (otherwise infinite-state) defined class of automata. The definition of such operations enables model checking of process calculi featuring infinite behaviours, and resource allocation, to be implemented using classical automata-theoretic methods

Randomized comparison of power Doppler ultrasound-directed excisional biopsy with standard excisional biopsy for the characterization of lymphadenopathies in patients with suspected lymphoma.

PURPOSE: The sensitivity of lymph node excisional biopsy requires validation. Power Doppler ultrasound (US) helps predict the malignant status of lymphadenopathies. We used power Doppler US to select for biopsy the lymph node most suspected of malignancy. PATIENTS AND METHODS: One hundred fifty-two patients having lymphadenopathies with clinical suspicion of lymphoma were divided into two well-matched groups and randomly assigned to undergo either standard or power Doppler US-directed lymph node excisional biopsy. RESULTS: Histology showed a malignancy in 64% of patients in the standard group (lymphoma, 49 patients; carcinoma, two patients) and in 87% of patients in the US-assisted group (lymphoma, 62 patients; carcinoma, one patient). There were significantly fewer biopsy-related complications in the assisted group than in the standard group. During the follow-up of the patients with lymph nodes reported as being reactive, 14 of 29 patients in the standard group were rebiopsied and were found to have lymphoma (13 patients) or carcinoma at the subsequent lymph node histology, whereas none of the patients in the assisted group (nine patients) required a second biopsy. Thus, biopsy provided false-negative results for malignancy in 21% of patients affected by lymphoma in the standard group and ever in the assisted group (P <.01). CONCLUSION: Power Doppler US is an accurate tool for screening lymphadenopathies to be removed by excisional biopsy in patients with suspected lymphoma