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ispartof: ENERGY REPORTS vol:9 pages:2169-2184 status: accepted

Water loss due to persistent leakages in water distribution networks remains a substantive problem around the world, all the more so given noticeable trends of increasing global water scarcities. In this paper, we present a data-driven leak localization approach leveraging a connected Geographical Information System together with an autoencoder to perform anomaly detection on time-variable sensor data. Data-driven approaches are able to circumvent many of the uncertainty issues associated with model-based approaches, but they usually require significant amounts of high-quality data, reflecting many different leak scenarios, to perform well. Our approach obviates this requirement by relying only on leakless data during model training. We examine the efficacy of this approach on 19 realistic leak experiments conducted in the field. Based on these evaluations, we were able to achieve average search costs as low as 2.2 kilometers, for a total network length of 215 kilometers.

We present an implementation of the Frenkel exciton model into the OpenMolcas program package enabling calculations of collective electronic excited states of molecular aggregates based on a multiconfigurational wave function description of the individual monomers. The computational protocol avoids using diabatization schemes and, thus, supermolecule calculations. Additionally, the use of the Cholesky decomposition of the twoelectron integrals entering pair interactions enhances the efficiency of the computational scheme. The application of the method is exemplified for two test systems, that is, a formaldehyde oxime and a bacteriochlorophyll-like dimer. For the sake of comparison with the dipole approximation, we restrict our considerations to situations where intermonomer exchange can be neglected. The protocol is expected to be beneficial for aggregates composed of molecules with extended pi systems, unpaired electrons such as radicals or transition metal centers, where it should outperform widely used methods based on time-dependent density functional theory.

Producción Científica, The exponential ordering is exploited in the context of nonautonomous delay systems, inducing monotone skew-product semiflows under less restrictive conditions than usual. Some dynamical concepts linked to the order, such as semiequilibria, are considered for the exponential ordering, with implications for the determination of the presence of uniform persistence or the existence of global attractors. Also, some important conclusions on the long-term dynamics and attraction are obtained for monotone and sublinear delay systems for this ordering. The results are then applied to almost periodic Nicholson systems and new conditions are given for the existence of a unique almost periodic positive solution which asymptotically attracts every other positive solution., The first three authors were partly supported by MICIIN/FEDER project RTI2018- 096523-B-I00 and by Universidad de Valladolid under project PIP-TCESC-2020. The fourth author was partly supported by MICINN/FEDER under projects RTI2018-096523-B-I00 and PGC2018-097565-B-I00

The increasing integration of renewable energy requires a good model of the existing power distribution infrastructure, represented by its admittance matrix. However, a reliable estimate may either be missing or quickly become obsolete, as distribution grids are continuously modified. In this work, we propose a method for estimating the admittance matrix from voltage and current measurements. By focusing on μPMU measurements and partially observed networks, we show that voltage collinearity and noisy samples of all electric variables are the main challenges for accurate identification. Moreover, the accuracy of maximum likelihood estimation is often insufficient in real-world scenarios. To overcome this problem, we develop a flexible Bayesian framework that allows one to exploit different forms of prior knowledge about individual line parameters, as well as network-wide characteristics such as the sparsity of the interconnections. Most importantly, we show how to use maximum likelihood estimates for tuning relevant hyperparameters, hence making the identification procedure self-contained. We also discuss numerical aspects of the maximum a posteriori estimate computation. Realistic simulations conducted on benchmark electrical systems demonstrate that, compared to other algorithms, our method can achieve significantly greater accuracy than previously developed methods. ISSN:1949-3053 ISSN:1949-3061

In recent years, the field of neuroscience has gone through rapid experimental advances and extensive use of quantitative and computational methods. This accelerating growth has created a need for methodological analysis of the role of theory and the modeling approaches currently used in this field. Toward that end, we start from the general view that the primary role of science is to solve empirical problems, and that it does so by developing theories that can account for phenomena within their domain of application. We propose a commonly-used set of terms - descriptive, mechanistic, and normative - as methodological designations that refer to the kind of problem a theory is intended to solve. Further, we find that models of each kind play distinct roles in defining and bridging the multiple levels of abstraction necessary to account for any neuroscientific phenomenon. We then discuss how models play an important role to connect theory and experiment, and note the importance of well-defined translation functions between them. Furthermore, we describe how models themselves can be used as a form of experiment to test and develop theories. This report is the summary of a discussion initiated at the conference Present and Future Theoretical Frameworks in Neuroscience, which we hope will contribute to a much-needed discussion in the neuroscientific community., deposited on: https://arxiv.org/abs/2003.13825

Wearable technology enables collecting continuous in situ data from multiple people in various modalities, which can enhance team research and support, as the dynamic coupling of signals between interacting individuals (i.e., team coordination dynamics) is believed to reflect underlying processes and states of team functioning and performance. We conducted a systematic review on existing literature to evaluate the prospective use of wearable technology in research and practice. Using the IMOI framework as an organizing tool, our review revealed considerable support linking team coordination dynamics in different modalities to team functioning and performance, but also explicated the field’s nascent status.

The paper provides a novel, empirically grounded map of innovation ‘clubs’ in the EU, based on a unique analysis of micro-aggregated, country-level data. Using exploratory factor analysis we articulate innovation variables in a taxonomy of four ‘latent’ innovation theories: Network-Innovation-System, Kaldorian, New-Growth-Theory, and Schumpeterian. We then characterise clusters of countries (‘clubs’), based on their performance against this taxonomy, and design a new map of EU innovation clubs. We identify an articulated map of EU innovation hierarchy beyond the rather well-known ‘core-periphery’ structure, and interpret how some of the peripheries are functional to the ‘consolidated core’ of innovative countries, raising an issue of long-term sustainability of such hierarchies. We also find that even the most innovative clusters show concerning weaknesses. The strongest cluster in terms of its innovation system does not seem to exploit its full potential and lags behind with respect to radical product innovations. Instead, the leading cluster in terms of radical product innovations is strongly dependent on external innovative activity, is focused on scale-intensive sectors, and has a fairly weak innovation system. The periphery of small countries that show a healthy network structure, do so because they mainly include supplier-dominated firms, reliant on innovation inputs from the core. We offer some reflections on innovation policy within a broader view of EU cohesion.

Public transport network design deals with finding efficient network solution(s) from a set of alternatives that best satisfies the often-conflicting objectives of stakeholders like passengers and operators. This work presents a simulation-based optimization (SBO) model for designing public transport networks. The work’s novelty is in developing such a network design model that fully accounts for the stochastic behavior of commuters on the transit network. The SBO discipline solves decision-based problems like the transit network design problem (TNDP) by combining simulation and optimization models. The proposed model integrates a disaggregated activity-based travel demand simulation with a multi-objective network optimization algorithm. Trip-based travel demand models are commonly used to represent traveler behavior in the literature. The approach limits its ability to accommodate the stochastic realities of traveler behavior in a transit network design solution. Using activity-based simulation instead makes it possible to account for a more realistic traveler behavior, especially real-time decisions made in response to changing network dynamics which ultimately affect the distribution of demand over time on the network. The proposed model is applied to the improved design of the integrated public transport network in the City of Cape Town, South Africa. The results show SBO can design efficient network solutions that reflect the objectives of network stakeholders.

The concept of inclusive innovation has become widely embraced in the agricultural domain and promises to overcome traditional innovation paradigms by emphasizing more balanced, sustainable, and just human-environmental relations. Indigenous and local knowledge play an increasingly important role in debates about inclusive innovation, highlighting the diversity of relevant actors and marginalized perspectives. At the same time, the positioning of Indigenous and local knowledge in innovation processes remains ambiguous and contested. This article addresses this positioning in the context of inclusive agricultural innovations by reviewing 65 publications through iterative inductive coding. The qualitative review generates a conceptual framework that distinguishes five different modes relating innovation processes to Indigenous and local knowledge. These modes differ in locating innovations in endogenous, exogenous, or hybrid knowledge production. Furthermore, they also differ in their conceptualizations of Indigenous and local knowledge as dynamic or static. The resulting matrix provides resources for navigating the complex epistemic and political relations between knowledge systems in the agricultural domain.

Visible Light Positioning (VLP) is a promising indoor localization technology for providing highly accurate positioning. In this work, a VLP implementation is employed to estimate the position of a vehicle in a room using the Received Signal Strength (RSS) and fixed LED-based light transmitters. Classical VLP approaches use lateration or angulation based on a wireless propagation model to obtain location estimations. However, previous work has shown that machine learning models such as Gaussian processes (GP) achieve better performance and are more robust in general, particularly in presence of non-ideal environmental conditions. As a downside, Machine Learning (ML) models require a large collection of RSS samples, which can be time-consuming to acquire. In this work, a sampling scheme based on active learning (AL) is proposed to automate the vehicle motion and to accelerate the data collection. The scheme is tested on experimental data from a RSS-based VLP setup and compared with different settings to a simple random sampling.

Publisher Copyright: © 2022 The Authors Background: Emergency response driving (ERD) is a major occupational risk factor in emergency medical services (EMS). Inadequate communication has been acknowledged as a significant contributing cause for major incidents during ERD. Previous evidence shows that structured communication can promote safety in high-risk procedures, but knowledge in ERD context is lacking. The aim of this study was to examine what are the safety-critical points in ERD that should be secured using structured communication. Method: The nominal group technique (NGT) was used for gathering interview material from ERD experts’ (n = 11) workshop. In addition, semi-structured thematic interviews were conducted with other ERD experts (n = 15) from five different EMS areas in Finland. The interview material was analyzed using inductive content analysis. Results: Using NGT, 13 safety-critical points in ERD requiring the use of structured communication were identified. As a result of the interviews, two main categories were found: 1) Factors affecting the adaptation of the appropriate speed for the current situation and 2) Factors affecting orientation in a driving event. Conclusion: ERD comprises multiple safety-critical points that should be secured using structured communication between ambulance crew members. Pilot and implementation studies exploring the use of structured communication in ERD are needed in the future.

Background and Study Aim. To compare the effects of three different sets method, which is frequently used in resistance training, on strength and hypertrophy values. Materials and Methods. Thirty-three young male athletes with similar daily activities and nutrient intakes at the Fitlife fitness center in Sakarya were included in the study. Participants were randomly divided into three different groups as Modified German Volume Training (MGVT) (n=11, 21.5 ± 2.4 years), Super Set (SS) (n=11, 22.4 ± 2.9) and Giant Set (GS) (n=11, 23.0 ± 4.3 years). The study was started with a total of thirty-three people, but two participants in the Giant set group were excluded from the measurements because they left the study due to personal reasons. Strength, muscle thickness and cross-sectional area (CSA) measurements were made in the upper extremity muscles before and after the six-week training period. Results. After six weeks of training, significant increases were observed in the cross-sectional area and thickness (p0,05). Conclusions. Modified German Volume Training (MGVT), Super Set (SS) and Giant Set (GS) methods reveal that there is no difference between the set methods in the 1 Repetition Maximum (1RM) strength and hypertrophy development of young male individuals who do not have a history of resistance exercise but have completed the adaptation period, and that there is an improvement in all set methods., Передумови та мета дослідження. Порівняти вплив методу трьох різних наборів, який часто використовується в силових тренуваннях, на значення сили та гіпертрофії.Матеріали та методи. Тридцять три молоді спортсмени-чоловіки з подібною щоденною активністю та споживанням поживних речовин у фітнес-центрі Fitlife у Сакар’ї були включені до дослідження. Учасники були випадковим чином розділені на три різні групи: модифіковане німецьке об’ємне тренування (MGVT) (n=11, 21,5 ± 2,4 року), супернабір (SS) (n=11, 22,4 ± 2,9) і гігантський набір (GS) (n= 11, 23,0 ± 4,3 року). Дослідження було розпочато із загалом тридцяти трьох осіб, але двоє учасників із групи гігантського набору були виключені з вимірювань, оскільки вони залишили дослідження з особистих причин. Вимірювання сили, товщини м’язів і площі поперечного перерізу (CSA) проводилися в м’язах верхніх кінцівок до і після шеститижневого періоду навчання.Результати. Після шести тижнів тренувань спостерігалося значне збільшення площі поперечного перерізу та товщини (p0,05).Висновки. Методи модифікованого німецького об’ємного тренування (MGVT), супернабору (SS) і гігантського набору (GS) показують, що немає різниці між методами набору в силі з 1 максимумом повторення (1RM) і розвитку гіпертрофії молодих чоловіків, які не мають в анамнезі вправи з опором, але завершили адаптаційний період, і що є покращення у всіх встановлених методах.

This rapid realist review aims to explain how and why person-centred care (PCC) in primary care works (or not) among others for people with low health literacy skills and for people with a diverse ethnic and socioeconomic background, and to construct a middle-range programme theory (PT). Peered reviewed- and non-peer-reviewed literature (Jan 2013-Feb 2021) reporting on PCC in primary care was included. Selection and appraisal of documents were based on relevance and rigour according to the Realist And Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) criteria. Data on context, mechanisms and outcomes (CMO) were extracted. Based on the extracted data, CMO configurations were identified per source publication. Configurations containing all three constructs (CMO) were included in the PT. The middle-range PT demonstrates that healthcare professionals (HCPs) should be trained and equipped with the knowledge and skills to communicate effectively (i.e. in easy-to-understand words, emphatically, checking whether the patient understands everything, listening attentively) tailored to the wishes, needs and possibilities of the patient, which may lead to higher satisfaction. This way the patient will be more involved in the care process and in the shared decision-making process, which may result in improved concordance, and an improved treatment approach. A respectful and empathic attitude of the HCP plays an important role in establishing a strong therapeutic relationship and improved health (system) outcomes. Together with a good accessibility of care for patients, setting up a personalised care plan with all involved parties may positively affect the self-management skills of patients. Good collaboration within the team and between different domains is desirable to ensure good care coordination. The coherence of items related to PCC in primary care should be considered to better understand its effectiveness.

Moisture is one of the most important factors causing building stone decay and rain penetration is one of the leading factors. Particularly, wind-driven rain spells, which are becoming increasingly common and seasonal as a result of climate change. Historic buildings' sometimes intricate design features can be a factor multiplying meteorological anisotropy, either shielding walls or increasing the surface that is affected by wind-driven rain spells. This paper aims to identify the effect of pilasters and tower buttresses on the wetting dynamics of a listed 9th Century historic building during a rain spell by means of electrical resistivity methods coupled with GIS mapping, paying special attention to how data representation and map algebra can improve the interpretation of several data sets of non-destructive testing. Results show how building features can modify deeply moisture dynamics and maximise local anisotropy. In the present case, a compound of an external tower buttress and an internal pilaster decreases moisture ingress through ground infiltration while increasing moisture retention into the wall due to its larger mass. This, in turn, multiplies the incidence of moisture-related processes inside the building. The presented data also highlight the usefulness of mapping over time (4D mapping) and of GIS to improve interpretations through map algebra, This research was supported by Top Heritage (P2018/NMT-4372) programme from the Regional Government of Madrid (Spain) and Grants “PIC2020–116896RB-C21”, “PIC2020–116896RB-C22” funded by MCIN/AEI/ 10.13039/501100011033

This paper reports on a study to assess the potential for future offshore wind energy in the coastal countries of eastern Africa. It identifies the areas that could host offshore wind turbines with depths shallower than 50 m and average wind speeds stronger than 8 m/s. The study revealed a capacity of 98 GW of untapped offshore wind power potential in eastern Africa, a supply that would be sufficient to meet almost 60% of the current energy demand of the whole African continent. The study proposes a politics and geography-based path to be followed for offshore wind energy development to assist with future energy policy and planning. It could have a major beneficial impact on the African population.

This study presents a techno-economic assessment of Carnot batteries for load-shifting of solar PV production of an office building considering variable electricity production, demand and pricing. The building has an annual electricity demand of 2600 MWh and a maximum power demand of 0.564 MW. The Carnot battery studied is based on a subcritical Rankine cycle with sensible thermal storage. A generic Carnot battery model and sizing methodology are presented and applied to the case study. It is found that implementing a Carnot battery is not cost effective for the studied case. Larger system sizes increase the integration of solar PV production, but decrease the net present value. Increasing the thermodynamic efficiency of the Carnot battery is beneficial to improve the financial feasibility and to reach higher levels of solar PV integration. The system investment cost should reduce minimally with a factor 9.4 and 4.1 to make the base and ideal system viable respectively. Alternatively, a minimum electricity tax or 326 euro/MWh and 122 euro/MWh could be implemented. The Carnot battery is not financially competitive with Li-ion batteries under the current scenario. The ideal Carnot battery becomes competitive at charging durations starting from 7 h.

This rapid realist review aims to explain how and why person-centred care (PCC) in primary care works (or not) among others for people with low health literacy skills and for people with a diverse ethnic and socioeconomic background, and to construct a middle-range programme theory (PT). Peered reviewed- and non-peer-reviewed literature (Jan 2013-Feb 2021) reporting on PCC in primary care was included. Selection and appraisal of documents were based on relevance and rigour according to the Realist And Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) criteria. Data on context, mechanisms and outcomes (CMO) were extracted. Based on the extracted data, CMO configurations were identified per source publication. Configurations containing all three constructs (CMO) were included in the PT. The middle-range PT demonstrates that healthcare professionals (HCPs) should be trained and equipped with the knowledge and skills to communicate effectively (i.e. in easy-to-understand words, emphatically, checking whether the patient understands everything, listening attentively) tailored to the wishes, needs and possibilities of the patient, which may lead to higher satisfaction. This way the patient will be more involved in the care process and in the shared decision-making process, which may result in improved concordance, and an improved treatment approach. A respectful and empathic attitude of the HCP plays an important role in establishing a strong therapeutic relationship and improved health (system) outcomes. Together with a good accessibility of care for patients, setting up a personalised care plan with all involved parties may positively affect the self-management skills of patients. Good collaboration within the team and between different domains is desirable to ensure good care coordination. The coherence of items related to PCC in primary care should be considered to better understand its effectiveness.

PurposeAdapting the Health Promotion School (HPS) approach to context specifics is acknowledged as being essential for implementation and achieving optimal effectiveness. This study aims to explore implementation variations on seven HPS spectra (such as top-down to bottom-up involvement of stakeholders) on which implementation of the HPS approach can vary, and the factors that relate to navigation on these spectra.Design/methodology/approachIn 2020, fourteen HPS researchers and professionals from ten European countries participated in semi-structured interviews.FindingsNavigation variations on the HPS spectra occurred throughout most spectra. Further, a tendency was found towards spectrum extremes of addressing multiple core-components, implementing non-disruptive Health Promotion (HP) programmes, and evaluating the HPS approach through an action-oriented research approach. Important general factors were resources, staff capacity and time available to staff members for implementing the HPS approach. Some spectra required more specific factors like organisational skills, leadership or a certain level of democracy.Practical implicationsThe implementation of the HPS approach should be supported by implementation strategies addressing the spectrum-specific factors, but more generic factors such as staff capacity, resources and the level of democracy should also be considered.Originality/valueThis study explores navigation variations throughout HPS spectra rather than the HPS approach in general. It also nuances implementation diversity across and within different European contexts.

Benthic macroinvertebrates can provide an integrated picture of environmental changes. Health of freshwaters can be assessed based on measured changes in the ecological structure of benthic macroinvertebrates. During the study period, 33 taxa were determined in Ilke Stream. As a result of principle component analysis (PCA), mainly nine components (T degrees C, EC, TDS, BOD5, NH4-N, NO2-N, NO3-N, PO4-P and CI-) account for 92% of the total variance among the water quality parameters. As a result of the UPGMA analysis, the highest similarity value was observed between the 1th and 2nd sampling points. SI, BMWP, ASPT and BBI indices were more proper than FBI index to determine the water quality of Ilke Stream. The results indicate that these indices should be adapted based on the ecological, geomorphological and environmental features of the regions.

The ability to engineer complex multicellular systems has enormous potential to inform our understanding of biological processes and disease and alter the drug development process. Engineering living systems to emulate natural processes or to incorporate new functions relies on a detailed understanding of the biochemical, mechanical, and other cues between cells and between cells and their environment that result in the coordinated action of multicellular systems. On April 3-6, 2022, experts in the field met at the Keystone symposium "Engineering Multicellular Living Systems" to discuss recent advances in understanding how cells cooperate within a multicellular system, as well as recent efforts to engineer systems like organ-on-a-chip models, biological robots, and organoids. Given the similarities and common themes, this meeting was held in conjunction with the symposium "Organoids as Tools for Fundamental Discovery and Translation".

Objective: The primary aim of the current study was to compare the centering ability and transportation of the Reciproc Blue system in curved root canals with and without prior glide path preparation, using cone beam computed tomography (CBCT). Additionally, the amount of time required for root canal instrumentation was also compared.Materials and Methods: Forty root canals of maxillary molar teeth with curvature angles 30 degrees-40 degrees were included in this in vitro study. All root canals were divided randomly into 2 experimental groups (n=20) as follows: group 1: the root canals were instrumented with a Reciproc Blue R25 instrument, and group 2: glide path was prepared with path-file and the root canals were instrumented with a Reciproc Blue R25 instrument. Working times with Reciproc Blue files were recorded for each group. All teeth were scanned with CBCT before and after instrumentation to evaluate the centering ability and transportation. The data were statistically analyzed using the Shapiro-Wilk test and t-test (p0.05). The time required for instrumentation using Reciproc Blue after glide path preparation was statistically less than that without the glide path preparation group (p, Ege University Scientific Research Project Fund; [2016/D??], Financial Disclosure: The authors declared that this study was funded by Ege University Scientific Research Project Fund (project number 2016/D??/018) .

More program functions are no longer written in code but learned from a huge number of data samples using a machine learning (ML) algorithm. We present an overview of current techniques to manage complex software and discuss how this applies to ML models.

This work presents the modelling fundamentals to study the dynamics of inverter-based resources (IBRs) in weak distribution grids and derive disturbance performance characteristics describing how they should behave under different conditions. More specifically, with respect to small-signal disturbances we study the possible voltage violations following frequency response from IBRs due to low system strength and also propose specific design requirements for IBR d-q current control to guarantee a stable response. In the context of large-signal disturbances, we highlight how active power-voltage control may not be effective due to a delay imposed by the physical features of the distribution network. Further, we mathematically discuss how IBR reactive power control could enhance its phase-locked loop stability. The proposed disturbance performance characteristics are then integrated into the IBR converter control via a novel voltage-priority reference generation strategy. Simulation results on a real Australian network show the efficacy of the proposed operational and control design requirements, and highlight possible unexpected active/reactive power interactions in weak distribution grids.

In this paper, we study data reuse in scholarly editing, providing insights into the current panorama and imagining future developments. We will focus on the reuse of data, leaving aside the reuse of code and models, which would require a separate enquiry; and would concentrate on machine-actionable reuse, as opposed to human consumption.

Digital Humanities research often provides opportunities for collaboration – but it just as often requires collaboration. The demands placed on DH projects in terms of technical skills and know-how are such that collaboration and a reliance on adequate research infrastructures become a necessity.

This presentation offers a side-by-side comparison of the publication processes for traditional monographs versus complex interactive digital projects. Prepared by Stanford University Press whose 6-year Mellon-funded digital publishing initiative is coming to a close in December 2023, the presentation reflects on the highly collaborative processes digital publications require.

The Digital Humanities for Marginal Areas (DH4MA) workshop aims to investigate the state of the art of tangible and intangible heritage digitalization in marginal and rural areas and their accessibility.

In this poster we would like to present the new architecture and features of EVT 3 (Edition Visualization Technology), an open source Angular-based tool for the visualization of TEI-XML Digital Scholarly Editions. We will use and showcase two digital philology projects as test bed for the new functionalities.

Last Year, I have presented our first experiments, which tested, if it is possible to use RCNNs for semi-automated annotation in our project. As those experiments were very promising, we now want to present our prototype of semi-automated annotation using RCNNs, which is currently under developement.

To detect conflicts in literary texts, this short paper adapts word embedding based sentiment analysis for assigning conflict values to texts. This heuristic approach is able to output relevant verb phrases of a corpus of German novels from the Romantic period and indicate first trends in the corpus.

Digital access to social sciences and humanities (SSH) research resources is necessary to enable broad use. For this purpose, a discovery platform for SSH resources was created. This paper describes its development, based on user, economic, and computer science research methods, and illustrates how such a platform supports social exchange.

We are presenting the results of mutual collaboration within two different, but related, projects in the field of cultural heritage digitization. Shared outcomes of our mutual collaboration include the valorization of cultural heritage items and experimental work on enriching a visualization application with a functionality to annotate graphs.

The imagined urban landscapes, structures, and environments of writer H.P. Lovecraft's Providence, RI play a central role in the development of his tales of horror, abomination, and wonder. This project repurposes the tools of digital art history and urbanism to create imaginative reconstructions of these locales across space and time.

This paper will discuss how interdisciplinarity, collaboration and participation have been re-imagined in large-scale digital cultural heritage projects, taking the Congruence Engine project as a case study, by highlighting how the interplay between the collaborative nature of DH, and systematic action research can bring together the human and computational.

This poster presents, in comics form, the perspectives of those involved in the Collaborative Doctoral Partnership 'Understanding UK digital comics information and publishing practices: From creation to consumption'. The poster aims to share insights into the challenges and opportunities of inter-institutional research and its collaborative methods.

We present a study of musical arrangements oif concert music for domestic performance through the lens of an English monthly music journal (The Harmonicon). The study is supported by digital annotation tooling built on IIIF, MEI and Linked Data.

This project explores computational uses of pose analysis to investigate questions of directorial style and actorly interpretation in theatrical performances. The process involves developing methods to help performing arts scholars and professionals use pose-data models to capture movement from performances, as well as record, analyze, recreate and remix those movements.

In our workshop, we invite Digital Humanists to explore the OpenMethods metablog as an innovative publication forum and to strengthen the representation of traditionally underrepresented languages and actors in Digital Humanities - particularly non-Anglophone, under-resourced languages (such as languages with non-Latin scripts) or female tool-makers - on the platform in particular and in the Digital Humanities discourse in general.

This workshop uses the environment created around the HTR-United catalog to demonstrate and discuss how to build a dataset of ground truth for text recognition and document it, and how to use HTR-United and its suite of tools to control its quality and describe it in a standardized way.

This paper discusses the use of recent additions to the Semantic Web toolkit, particularly SHACL, to provide true schema validation for graph-based data models such as the one used in the Stemmarest repository for variant text traditions.

This paper aims to elucidate the origin and metadata of land surveying maps, which meticulously document the landforms and features of various regions across mainland China between 1895 and 1944. Additionally, the digitization process of this research will be outlined. Furthermore, this paper will introduce the user interface of CHMap from two perspectives: firstly, CHMap as a platform for land survey maps, and secondly, CHMap as a tool for linking maps and images from disparate eras and sources.

In 2023, Digital Humanities Research Institute at Siberian Federal University starts a working prototype of a research digital infrastructure for the aggregation, preservation, dissemination of Siberian historical and cultural heritage for historical, literary, ethnographic, art history and other kinds of research at the intersection of the humanities and computer sciences — Siberiana.online. The aim of the project is to launch a long-term initiative for digitization, analysis, and curation of the different collections of historical, cultural, and natural heritage of the Central Siberia (so-called Angara-Yenisei macro-region). The project is designed for research and education needs of the digital humanists at Siberian Federal University and world over, because Siberian artifacts and collections evoke a steady interest in the current literature.

The TEITOK REST API lets you interact with your corpus remotely - to upload documents in various formats - automatically converted to TEI/XML; to render search results; to run an NLP pipeline on the server; or download the content of corpus document, treat that content locally with local NLP tools or manual annotation tools, and then upload the results back to the server, where the new or corrected annotations will be incorporated into the original TEI/XML document without destroying any of the potentially complex annotations already in the document.

The aim of this poster is to provide an overview of the work carried out in the CLS INFRA project and its conclusions for the field of Computational Literary Studies.

This poster showcases three deployments of virtual reality kits and 360º video design for undergraduate classrooms. It features three examples. The first utilizes a browser-based application that allows users to upload media and view them in a 360º environment. The other examples showcase VR storytelling techniques with consumer-grade 360º cameras.

Engaging both creators of digital web-based content and researchers of content on the web, this tutorial introduces and demonstrates toolsets for crawling and sharing web archives. Unlike large-scale subscription services like ArchiveIt, these open-source tools allow individuals and small groups to archive websites and web-hosted data more granularly and deeply.

In this half-day workshop, participants will learn how to use different components of the Linked Editing Academic Framework (LEAF) digital scholarship production platform: encoding and annotating texts, entity tagging and reconciliation, coordinating different types of media files into compound objects and galleries, managing metadata and workflow tracking, and producing a simple collection of objects. Using sample text and image objects, with the possibility of experimenting with their own materials, participants will come away with an understanding of how LEAF supports collaborative digital scholarly production in an open-source, open-access web environment.

This full-day workshop discusses the question of trustworthiness of code developed for Digital Humanities projects.