A Generative and Entropy-Based Registration Approach for the Reassembly of Ancient Inscriptions

An increased interest in computer-aided heritage reconstruction has emerged in recent years due to the maturity of sophisticated computer vision techniques. Concretely, feature-based matching methods have been conducted to reassemble heritage assets, yielding plausible results for data that contains enough salient points for matching. However, they fail to register ancient artifacts that have been badly deteriorated over the years. In particular, for monochromatic incomplete data, such as 3D sunk relief eroded decorations, damaged drawings, and ancient inscriptions. The main issue lies in the lack of regions of interest and poor quality of the data, which prevent feature-based algorithms from estimating distinctive descriptors. This paper addresses the reassembly of damaged decorations by deploying a Generative Adversarial Network (GAN) to predict the continuing decoration traces of broken heritage fragments. By extending the texture information of broken counterpart fragments, it is demonstrated that registration methods are now able to find mutual characteristics that allow for accurate optimal rigid transformation estimation for fragments alignment. This work steps away from feature-based approaches, hence employing Mutual Information (MI) as a similarity metric to estimate an alignment transformation. Moreover, high-resolution geometry and imagery are combined to cope with the fragility and severe damage of heritage fragments. Therefore, the testing data is composed of a set of ancient Egyptian decorated broken fragments recorded through 3D remote sensing techniques. More specifically, structured light technology for mesh models creation, as well as orthophotos, upon which digital drawings are created. Even though this study is restricted to Egyptian artifacts, the workflow can be applied to reconstruct different types of decoration patterns in the cultural heritage domain.

Semantic Search and Summarization of Judgments Using Topic Modeling

Online legal document libraries, such as WorldLII, are indispensable tools for legal professionals to conduct legal research. We study how topic modeling techniques can be applied to such platforms to facilitate searching of court judgments. Specifically, we improve search effectiveness by matching judgments to queries at semantics level rather than at keyword level. Also, we design a system that summarizes a retrieved judgment by highlighting a small number of paragraphs that are semantically most relevant to the user query. This summary serves two purposes: (1) It explains to the user why the machine finds the retrieved judgment relevant to the user’s query, and (2) it helps the user quickly grasp the most salient points of the judgment, which significantly reduces the amount of time needed by the user to go through the returned search results. We further enhance our system by integrating domain knowledge provided by legal experts. The knowledge includes the features and aspects that are most important for a given category of judgments. Users can then view a judgement’s summary focusing on particular aspects only. We illustrate the effectiveness of our techniques with a user evaluation experiment on the HKLII platform. The results show that our methods are highly effective.

Note: The Ebb and Flow of the Democratization Process in Africa

Democracy and democratization are two faces of a coin, and democracy is unattainable in the absence of the democratization process. This note deals with some salient points regarding the processes, challenges and obstacles of democratization in Africa since the early 1960s. The roles of traditional institutions for democratization in Africa have also been highlighted. I argue that the democratization process in Africa is characterized by ebb and flow. There are various challenges and obstacles to democratization in spite of strong aspirations. Yet, Africa should strive hard to overcome these challenges and obstacles since it has no choice other than democratization.

Fulminant varicella hepatitis: a rare but lethal cause of abdominal pain

An 81-year-old woman with no history of immunocompromise presented with 2 days of upper abdominal pain associated with nausea. On arrival, her physical examination was unremarkable apart from mild epigastric and right hypochondriac tenderness, and laboratory investigations were unremarkable apart from mild thrombocytopenia and transaminitis. A CT scan performed on the day of admission revealed a tiny 0.3 cm stone in the common bile duct, with no upstream dilatation. On day 2 of admission, she developed a vesicular rash and with acutely worsening transaminitis. She deteriorated rapidly and demised from complications of acute liver failure within the next 24 hours. The diagnosis of varicella was confirmed with antibody testing. Fulminant varicella hepatitis is an extremely rare and lethal condition with only a handful of reported cases in the current literature. We aim to share our clinical experience and summarise the salient points from existing case reports.

TUNNEL MODELING USING MOBILE MAPPING LIDAR POINTS

In this paper, a method to model a tunnel using lidar points is presented. The data used was collected using Leica Pegasus Two Ultimate with a Z+F 9012 Profiler mounted on a mobile platform. The tunnel was approximately 151 m long. Visual inspection of a cross-section of the tunnel showed two rail tracks supported on ballast and sidewalks along both sidewalls of the tunnel. The walls and the ceiling of the tunnel were made of five planar surfaces. The tunnel alignment was straight, without any horizontal or vertical curves. The bearing of the central axis of the tunnel was N12.2oW. The following methodology was developed to model just the planar surfaces of the tunnel by excluding the rails, ballast, sidewalks, powerlines, and other accessories. The entire methodology was divided into three broad parts. In the first part, a model cross-section was created. Since the design plans of the tunnel were not available, the model cross-section polyline was created using mean tunnel dimensions from random cross-section points. The model cross-section consisted of the walls and the ceiling of the tunnel. Points were placed at every 1 cm along the model polyline. Six of the model points that represented the shape of the tunnel were selected as salient points. The lower-left salient point was considered as the seed point. In the second part, to define a reference axis of the tunnel, an approximate centerline was manually defined by selecting points at its start and end. Lidar points within 1 m at the start and the end of the tunnel were modeled using the model points to determine the centroids. The reference axis was determined by connecting the centroids at the start and the end of the tunnel. In the third part, the tunnel points were sliced along the reference axis at 5 cm intervals. The model cross-section was matched to points within each tunnel slice using a three-stage approach. In the first stage, the pattern of salient points was matched to the tunnel points by placing the seed point at every tunnel point location. The distances between salient points and their nearest tunnel points were calculated. Ten sets of tunnel points with the least differences to the salient points were shortlisted. In the second stage, a dense point-to-point matching was performed between the model and sliced tunnel data at the shortlisted points. The shortlisted point location with the least difference between the tunnel and the model points was considered as a match. At this point, the model points were hinged to the tunnel points at the seed point location. Hence, in the last stage, a six-parameter affine transformation was performed to match the model points to the tunnel data. The transformed model points at every 5 cm of the length of the tunnel were considered as current shape of the tunnel.

Motor intervention and autism: one way, several domains of effectiveness

In the literature, a delay in the development and acquisition of motor skills is generally described in children with autism spectrum disorder, affecting between 50% and 80% of this population. In spite of this high frequency of occurrence, motor difficulties are not yet considered in the same way as the core deficits of this disorder (difficulties in social interaction, communication and behavior); addictionaly, there is not yet enough research about the efficacy of a specific intervention that can support the development of motor functions compromised in autism. Recent findings, which support the correlation between motor domain and other areas of development (social and cognitive), together with other evidence that underline the benefits of practicing motor activities on the individual's well-being, lead us to re-evaluate the effects of motor intervention for autism. To define the salient points of this kind of intervention, with particular attention to rehabilitation practice, a literature search was carried out on four different databases, which sifted through 602 bibliographic citations and found 10 studies that were able to meet the set research purposes. This review showed that physical activity in autistic children not only improves motor performance, but also plays an important role in the social, cognitive and behavioural development, as well as helping to reduce some secondary or associated symptoms, such as stereotypies or sleep disorders.

What next for end-point assessments?

PurposeThis paper reflects on changes to end-point assessment (EPA) brought about as a result of the COVID-19 pandemic and considers how proposed future change will impact on training providers and employers of health apprentices.Design/methodology/approachThe paper provides an analysis of apprenticeship policy, the role of EPA and consideration of assessment strategies used in higher education and health professions. Implications for policy, training providers and clinical practice are proposed.FindingsThese changes will bring the completion of EPA closer to education providers and allow them to take a more direct role within the process. Education providers will need to be issued with clear guidance to ensure regulatory compliance. The pedagogical value of EPA is questioned.Originality/valueTraining providers and policymakers will need to review their processes and guidance appropriately. This paper provides a summary of salient points needing consideration.

Formalism and Hilbert’s understanding of consistency problems

Formalism in the philosophy of mathematics has taken a variety of forms and has been advocated for widely divergent reasons. In Sects. 1 and 2, I briefly introduce the major formalist doctrines of the late nineteenth and early twentieth centuries. These are what I call empirico-semantic formalism (advocated by Heine), game formalism (advocated by Thomae) and instrumental formalism (advocated by Hilbert). After describing these views, I note some basic points of similarity and difference between them. In the remainder of the paper, I turn my attention to Hilbert’s instrumental formalism. My primary aim there will be to develop its formalist elements more fully. These are, in the main, (i) its rejection of the axiom-centric focus of traditional model-construction approaches to consistency problems, (ii) its departure from the traditional understanding of the basic nature of proof and (iii) its distinctively descriptive or observational orientation with regard to the consistency problem for arithmetic. More specifically, I will highlight what I see as the salient points of connection between Hilbert’s formalist attitude and his finitist standard for the consistency proof for arithmetic. I will also note what I see as a significant tension between Hilbert’s observational approach to the consistency problem for arithmetic and his expressed hope that his solution of that problem would dispense with certain epistemological concerns regarding arithmetic once and for all.

Uporedno ustavno pravo u delu Miodraga Jovičića

Professor Miodrag Jovičić (1925–1999) was the most renowned and prolific Serbian academic in the field of comparative constitutional law. He received his LLB and PhD in law from the University of Belgrade and seldom went abroad for further studies. Although he was strongly influenced by certain French authors, his main source of inspiration was the work of Slobodan Jovanović. Politically marginalized, Jovičić used his research of comparative constitutional law as an escape from reality and the circumstances in his country. Jovičić’s work did not rely on an original method of research. On the contrary, he remained faithful to the methods developed by the mainstream of the world scientific and law community. The apogee of his work was the book Great Constitutional Systems, in which he presented his views on the subject in a systematic and synthetic way. This article presents Jovičić’s method of work and the salient points of his theoretical endeavors, as well as elaborating on his intellectual influences.