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	Author	Kuntke, F.; Baumgartner, L.; Reuter, C.
	Title	Rural Communication in Outage Scenarios: Disruption-Tolerant Networking via LoRaWAN Setups			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	975-988
	Keywords	Disaster Communication; Disruption-Tolerant Networking; Bundle Protocol Version 7; LoRaWAN Gateways; Lora Mesh Communication
	Abstract	Since communications infrastructure is subject to many impacts, e.g., destructive natural events, it can potentially collapse at any time. Especially in rural areas, the recovery of public network infrastructure can take some time, so a dedicated communication channel would be advantageous. We explore the possibility of transforming commodity LoRaWAN gateways into meshed network nodes for a digital emergency communication channel. In order to obtain the required parameters, we collected farm locations in Germany with OpenStreetMap. Based on the assumptions of LoRa communication range and considering our use case requirements, connecting farm communities seems theoretically feasible in many areas of our data set. To further analyze our idea, we ran simulations of two common DTN routing protocols with different scenarios. A proof-of-concept implementation allows smaller messages to be transmitted using real hardware and demonstrates that a decentralized communications infrastructure based on commodity hardware is possible.
	Address	Tilburg University
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Usability and Universal Design of ICT for Emergency Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/WZMQ1124			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2581
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	Author	Jendreck, M.; Hellriegel, J.; Allmann, J.; Restel, H.; Pfennigschmidt, S.; Meissen, U.; Fuchs-Kittowski, F.
	Title	ROBUST communication platform – A decentralized, distributed communi cation platform for the earthquake early warning system ROBUST			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	822-836
	Keywords	Earthquake; Early Warning System; Communication Platform.
	Abstract	Strong earthquakes of great intensity pose a severe threat to human life and property. Earthquake early warning systems are designed to give people in endangered areas valuable seconds to save their lives and property. The basis of an efficient warning system is a communication infrastructure that provides high-speed and reliable communication between the components of the warning system. This paper presents the distributed, decentralized communication platform for the ROBUST project. It discusses the key challenges and requirements such as resilience, real-time capability and target group-specific information distribution that are placed on such a communication platform. In addition, it presents the conception of the communication platform, which is based on a subscriber procedure between autonomous, decentralized peers (nodes), in order to be able to realize the requirements. Finally, it details the technical implementation, practical realization, and evaluation of the communication platform.
	Address	Fraunhofer FOKUS
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Infrastructure Health Monitoring During Crises and Disaster	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/VRXV2511			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2569
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	Author	Anjum, U.; Zadorozhny, V.; Krishnamurthy, P.
	Title	Localization of Events Using Neural Networks in Twitter Data			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	909-919
	Keywords	Social Networking; Event Localization; Twitter; Neural Networks; GAN, BiLSTM
	Abstract	In this paper, we develop a model with neural networks to localize events using microblogging data. Localization is the task of finding the location of an event and can be done by discovering event signatures in microblogging data. We use the deep learning methodology of Bi-directional Long Short-Term Memory (Bi-LSTM) to learn event signatures. We propose a methodology for labeling the Twitter date for use in Bi-LSTM However, there might not be enough data available to train the Bi-LSTM and learn the event signatures. Hence, the data is augmented using generative adversarial networks (GAN). Finally, we combine event signatures at different temporal and spatial granularity to improve the accuracy of event localization. We use microblogging data collected from Twitter to evaluate our model and compare it with other baseline methods.
	Address	Tokyo Institute of Technology
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	AI for Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/UVZV1884			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2575
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	Author	Zeleskidis, A.; Chalarampidou, S.; Dokas, I.M.; Torra, F.
	Title	COBOT Safety Awareness: A RealTSL Demonstration in a Simulated System			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	874-891
	Keywords	COBOT; Safety Awareness; STAMP; Simulation; Safety Level
	Abstract	This work aims to propose the RealTSL methodology to empower collaborative robotic systems with self-safety awareness capability and address the methodology's limitation in determining time ranges for the unsafe system state transitions, which are inputs of the methodology. The COBOT system used in this paper to demonstrate RealTSL is an automated scissor lift robot to be used by first responders for “work at height,” simulated in Simulink™. The demonstration begins by 1) applying STPA to the system, 2) applying Early Warning Sign Analysis based on STAMP (EWaSAP), 3) creating an acyclic diagram that depicts system state transitions towards unsafe states, 4) incorporating the appropriate sensory equipment in the simulation, 5) simulating the system's operation for different scenarios using fault injection and finally 6) use information from the simulations to complete the RealTSL analysis and calculate the safety level of the system in real-time during its simulated operation.
	Address	Democritus University of Thrace
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN	2411-3387	ISBN	979-8-218-21749-5	Medium
	Track	Collaborative Robots for Emergency Situations	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/UTNC4052			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2572
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	Author	Carsí, J.A.; Canós, J.H.; Penadés, M.ª C.; Sánchez-Díaz, J.; Borges, M.R.S.
	Title	Towards a Generic Metamodel for Urban Resilience Assessment			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	1059-1068
	Keywords	Urban Resilience; City Resilience; Metamodel; Semantic Interoperability
	Abstract	The proliferation of natural and artificial disasters in the last decades has made urban resilience enforcement a strategic goal of city governments worldwide and a hot research topic for academics and practitioners. Consequently, several urban resilience assessment and improvement frameworks have been proposed. Some frameworks have associated operational tools, but these systems are not interoperable with other frameworks' utilities, forcing cities to use different tools for evaluating various aspects of resilience. Since data must be converted manually from one tool to another, the conversion may be error-prone and tedious. In this paper, we report the steps toward defining an urban resilience metamodel that intends to be at the core of a multi-framework urban resilience management portal. Our goal is to provide city administrators with a single operational tool able to evaluate resilience according to different frameworks, thanks to the definition of semantic interoperability mechanisms between the frameworks and the metamodel
	Address	IUMTI – Universitat Politècnica de València; IUMTI – Universitat Politècnica de València; IUMTI – Universitat Politècnica de València; IUMTI – Universitat Politècnica de València
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Open Track	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/UPWR1542			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2588
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	Author	Hager, F.; Reuter-Oppermann, M.; Müller, T.; Ottenburger, S.
	Title	Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	565-574
	Keywords	Mass-Casualty Incidents; Simulation, Multicriteria Decision Making
	Abstract	In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility. Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany
	Address	Technical University of Darmstadt; Karlsruhe Institute of Technology
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/SUZB3855			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2547
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	Author	Wang, R.; Li, N.
	Title	Revealing social disparities under natural disasters using large-scale mobility data: A dynamic accessibility perspective			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	797-807
	Keywords	Mobility; Natural Disaster; Social Disparity; Spatial Accessibility
	Abstract	Accessibility is an essential indicator for measuring the functions and equity of urban services, and could be harnessed to provide insights into the social disparities in urban residents’ interaction with urban services. In this study, we attempt to measure urban residents’ accessibility patterns to urban services during natural disasters using an improved gravity model method. Firstly, by analyzing human digital trace data in the Wilmington metropolitan area over three months, we assessed the residents’ accessibility levels of grocery stores and restaurants before, during and after Hurricane Florence, and captured the diverse trends of residents’ responses to the hurricane. Then, we identified and statistically tested the social disparities in residents’ accessibility behaviors in response to the hurricane. The findings may provide new insights for city planners and policymakers in terms of equity evaluations of resource accessibility and resource allocations among different communities and improvement of their resilience against natural disasters.
	Address	Department of Construction Management, Tsinghua University;
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN	2411-3387	ISBN	979-8-218-21749-5	Medium
	Track	Geospatial Technologies, Location Analytics, and Geographic Information Science	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/SNTX2451			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2567
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	Author	Pettersson, M.N.; Axelsson, J.; Svenson, P.; Johansson, A.
	Title	Towards a Risk Analysis Method for Systems of Systems: A Case Study on Wildfire Rescue Operations			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	530-545
	Keywords	Systems of Systems; Risk Analysis Methods, Case Study, Wildfire, STAMP. Crisis Management
	Abstract	Crisis management (CM) is facing new challenges due to the increasing complexity of contemporary society. To mitigate a crisis, it is often necessary for a collection of independent systems, people, and organizations to cooperate. These collaborating entities constitute an interconnected socio-technical system of systems (SoS). An important question is how a CM SoS should be constructed to minimize the risk of failure and accurately handle a crisis. SoS pose new challenges in analysing risk during interactions. This paper investigates whether the risk analysis method STAMP (System-Theoretic Accident Model and Processes) is suitable for SoS, using a forest fire rescue operation case study. Results show characteristics of various risk sources and identify some SoS characteristics, such as dynamic structure and latent risks, that are not sufficiently handled in STAMP. The study further contributes to the body of knowledge by presenting potential directions for research on SoS risk assessment methods.
	Address	Mälardalen University; Research Institutes of Sweden
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/SFUF2569			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2545
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	Author	Long, Z.; McCreadiem, R.; Imran, M.
	Title	CrisisViT: A Robust Vision Transformer for Crisis Image Classification			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	309-319
	Keywords	Social Media Classification; Crisis Management; Deep Learning; Vision Transformers; Supervised Learning
	Abstract	In times of emergency, crisis response agencies need to quickly and accurately assess the situation on the ground in order to deploy relevant services and resources. However, authorities often have to make decisions based on limited information, as data on affected regions can be scarce until local response services can provide first-hand reports. Fortunately, the widespread availability of smartphones with high-quality cameras has made citizen journalism through social media a valuable source of information for crisis responders. However, analyzing the large volume of images posted by citizens requires more time and effort than is typically available. To address this issue, this paper proposes the use of state-of-the-art deep neural models for automatic image classification/tagging, specifically by adapting transformer-based architectures for crisis image classification (CrisisViT). We leverage the new Incidents1M crisis image dataset to develop a range of new transformer-based image classification models. Through experimentation over the standard Crisis image benchmark dataset, we demonstrate that the CrisisViT models significantly outperform previous approaches in emergency type, image relevance, humanitarian category, and damage severity classification. Additionally, we show that the new Incidents1M dataset can further augment the CrisisViT models resulting in an additional 1.25% absolute accuracy gain.
	Address	University of Glasgow
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Social Media for Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/SDSM9194			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2528
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	Author	Sterl, S.; Billig, A.; Taffo, F.W.; Gerhold, L.
	Title	Visualizing the Psychosocial Situation in Crises and Disasters: Conceptualizing a Multi-Functional Crisis Information Platform (CIP-PS)			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	252-262
	Keywords	Crisis Information Platform; Psychosocial Situation Picture; Data Integration And Visualization; Dashboard; Vulnerable Communities
	Abstract	Crises and disasters are becoming more frequent, long-lasting, complex, and interdependent. This can lead to negative psychosocial consequences in vulnerable population groups, increasing the need to (1) monitor psychosocial indicators and (2) make information on psychosocial topics available to decision-makers, the scientific community, and the public. In this WiPe paper, we present a way to systematically visualize, research, and document different types of psychosocial data in crises and disasters by developing a “Multi-Functional Crisis Information Platform for Psychosocial Situations”, called CIP-PS. The CIP-PS has three components, i.e., an information dashboard (CIP-DAB), a research platform (CIP-REP), and a documentation (CIP-DOC) component which together help visualize, research and document psychosocial topics, such as the psychosocial situation picture in Germany. The platform is a valuable tool for presenting relevant psychosocial information in the context of disaster public health. Its strength lies in an extensive connection between the three components related to healthcare informatics.
	Address	Technische Universitaet Braunschweig; Fraunhofer Institute for Open Communication Systems
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Disaster Public Health and Healthcare Informatics	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/RRNM2516			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2523
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	Author	Cámbara, G.; Grivolla, J.; Farrús, M.; Wanner, L.
	Title	Automatic Speech Translation for Multinational First Responder Teams			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	188-196
	Keywords	Automatic Speech Translation; First Responders; Disaster Management
	Abstract	Big disasters as increasingly observed all over the world, often require the involvement of a large number of personnel, in particular personnel acting in the field, i.e., First Responders. By far not always local teams are sufficient. As a consequence, in particular in Europe, teams from different member states are dispatched to support the local teams. However, this bears a potential of miscommunication since it cannot be taken for granted that English is mastered to a sufficient degree by everybody to serve as lingua franca. In this paper, we present work in progress carried out in the context of the INGENIOUS project on an automatic speech translation module that facilitates the interaction between First Responders speaking different languages. The module is embedded into the Telegram Messenger Application and consists of three main modules: Automatic Speech Recognition, Machine Translation, and Text-to-Speech, which are applied in sequence. We opt for a pipeline solution instead of end-to-end speech translation in order to guarantee the availability of the original speech transcriptions and their translations.
	Address	Pompeu Fabra University; University of Barcelona; Catalan Institute for Research and Advanced Studies (ICREA) and NLP Group, Pompeu Fabra University
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Technologies for First Responders	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/RPZH2519			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2517
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	Author	Dahlke, D.; Kaiser, S.; Bayer, S.
	Title	Self-Localization: A proposal to equip first responders with a robust and accurate GNSS device			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	242-251
	Keywords	Self-Localization; GNSS; First Responder Localization; Multi Frequency GNSS; Multi Constellation GNSS
	Abstract	In this paper we explore the GNSS positioning capabilities in the context of search and rescue operations. Our contribution is a tool that robustly receives and precisely evaluates GNSS signals. The final positioning information is then transmitted to an orchestrator where other tools like augmented reality utilities or the command and control have access to. During the time from the project start in September 2021 to December 2022 the components have been chosen, and the design and software of the tool have been developed. Furthermore, some of the tool’s capabilities have been tested and compared during field trials with first responders and measurement campaigns. The developed tool outperforms the commonly used smartphone localization in terms of accuracy, operation time and time to get a GNSS fix. This reliability improvement helps to identify someones position in adverse conditions.
	Address	DLR German Aerospace Center; DLR German Aerospace Center; I.S.A.R. Germany
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Technologies for First Responders	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/QQLO9872			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2522
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	Author	Kuntke, F.; Bektas, M.; Buhleier, L.; Pohl, E.; Schiller, R.; Reuter, C.
	Title	How Would Emergency Communication Based On LoRaWAN Perform? Empirical Findings of Signal Propagation in Rural Areas			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	1042-1050
	Keywords	LoRaWAN; Emergency Communication; Range Test; Empirical Evaluation; Dataset
	Abstract	Low Power Wide Area Network (LPWAN) technologies are typically promoted for Internet-of-Things (IoT) applications, but are also of interest for emergency communications systems when regular fixed and mobile networks break down. Although LoRaWAN is a frequently used representative here, there are sometimes large differences between the proposed range and the results of some practical evaluations. Since previous work has focused on urban environments or has conducted simulations, this work aims to gather concrete knowledge on the transmission characteristics in rural environments. Extensive field studies with varying geographic conditions and comparative tests in urban environments were performed using two different hardware implementations. Overall, it was found that the collected values in rural areas are significantly lower than the theoretical values. Nevertheless, the results certify that LoRaWAN technology has a high range that cannot be achieved with other common technologies for emergency communications.
	Address	Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Open Track	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/QBHV2089			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2586
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	Author	Tsai, C.-H.; Kadire, S.; Sreeramdas, T.; VanOrmer, M.; Thoene, M.; Hanson, C.; Berry, A.A.; Khazanchi, D.
	Title	Generating Personalized Pregnancy Nutrition Recommendations with GPT-Powered AI Chatbot			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	263-271
	Keywords	ChatGPT; Maternal and Infant Health; Nutrition; Health Literacy; Personas; HCI
	Abstract	Low socioeconomic status (SES) and inadequate nutrition during pregnancy are linked to health disparities and adverse outcomes, including an increased risk of preterm birth, low birth weight, and intrauterine growth restriction. AI-powered computational agents have enormous potential to address this challenge by providing nutrition guidelines or advice to patients with different health literacy and demographics. This paper presents our preliminary exploration of creating a GPT-powered AI chatbot called NutritionBot and investigates the implications for pregnancy nutrition recommendations. We used a user-centered design approach to define the target user persona and collaborated with medical professionals to co-design the chatbot. We integrated our proposed chatbot with ChatGPT to generate pregnancy nutrition recommendations tailored to patients’ lifestyles. Our contributions include introducing a design persona of a pregnant woman from an underserved population, co-designing a nutrition advice chatbot with healthcare experts, and sharing design implications for future GPT-based nutrition chatbots based on our preliminary findings.
	Address	University of Nebraska at Omaha
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Disaster Public Health and Healthcare Informatics	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/PZPJ9073			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2524
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	Author	Henke, S.; Widera, A.; Hellingrath, B.
	Title	Evaluation-driven Disaster Management Exercises: A Collaborative Toolkit			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	989-999
	Keywords	Disaster Management Exercise; Evaluation; Learning; Collaboration
	Abstract	Disaster management exercises are a core component of humanitarian organizations’ preparedness strategies. They entail diverse purposes, from training capabilities of participants to testing response plans to enhancing collaboration between organizations and many more. However, it is uncertain how much exercises contribute to preparedness. Rigorous evaluation is needed to exploit learning opportunities of an exercise. Therefore, exercises must target evaluable objectives, which is complicated by the socio-technical openness of the exercise system, the heterogeneity of organizational needs, and the scarcity of resources. Many different tools aim to support evaluation but are limited to specific use cases, resulting in a fragmented overview for practitioners. Due to the excessive effort involved, practitioners often consider exercise evaluation to be of secondary importance. This study thus proposes the conceptual design of a combined toolkit that supports the practitioners in a more rigorous but resource-efficient evaluation to make disaster management exercises more evaluation-driven.
	Address	Chair of Information Systems and Supply Chain Management, University of Münster; Chair of Information Systems and Supply Chain Management, University of Münster; Chair of Information Systems and Supply Chain Management, University of Münster
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Open Track	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/PSIX3279			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2582
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	Author	Chalioris, C.E.; A. Papadopoulos, N.; Sapidis, G.; C. Naoum, M.; Golias, E.
	Title	EMA-based Monitoring Method of Strengthened Beam-Column Joints			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	853-873
	Keywords	Structural Health Monitoring (SHM); Beam-Column Joint (BCJ); Carbon Fiber-Reinforced Polymer (C-FRP) Ropes; Hierarchical Clustering; Piezoelectric Lead Zirconate Titanate (PZT) Transducers.
	Abstract	Reinforced concrete (RC) beam-column joints (BCJ) are crucial structural components, primarily during seismic excitations, so their structural health monitoring (SHM) is essential. Additionally, BCJ of existing old RC frame structures usually exhibits brittle behavior due to insufficient transverse reinforcement. To alter the brittle behavior of BCJ, an innovative reinforcing technique has been employed, accompanied by a real-time SHM system. Carbon fiber-reinforced polymer (C-FRP) rope as near surface-mounted (NSM) reinforcement has been utilized as external reinforcement of the column and the joint panel. The use of piezoelectric lead zirconate titanate (PZT) transducers for real-time SHM of BCJ sub-assemblages was investigated. Statistical damage indices, such as RMSD and MAPD, were employed to quantify the damage. Furthermore, an innovative approach based on hierarchical clustering was introduced. The experiment results revealed that the damage level of the reference and the retrofitted specimens were successfully diagnosed with PZT transducers.
	Address	Democritus University of Thrace; Democritus University of Thrace; Democritus University of Thrace; Democritus University of Thrace; Democritus University of Thrace
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Infrastructure Health Monitoring During Crises and Disaster	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/PEEC4879			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2571
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	Author	Paulini, M.S.; Duran, D.; Rice, M.; Andrekanic, A.; Suri, N.
	Title	KENNEL Threat Detection Boxes for First Responder Situational Awareness and Risk Management			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	208-219
	Keywords	Situational Awareness; Hazard Detection; Microsensors; Sensor Fusion; Risk Management
	Abstract	KENNEL is a deployable IoT-based system consisting of a network of unattended ground sensors, known as Threat Detection Boxes (TDBs), which may be outfitted with any variety of custom and commercial-off-the-shelf sensors for hazard detection. The KENNEL system fills a technological gap for sensor fusion, interpretation, and real-time alerting via existing information management systems, such as Team Awareness Kit (TAK). First responders face a critical need for improved situational awareness, detection, and response to hazardous events. KENNEL provides a first of its kind, low-cost sensing & data fusion platform that is highly extensible, configurable, and self-sustaining, opening a world of modernization and innovation possibilities across the first responder domain. TDBs may also be statically or ad hoc deployed, improving flexibility, stand-off hazard detection, and resilience in the operational domain. From critical infrastructure monitoring to wearables, the system affords timeliness of critical information for effective risk management and increased personnel safety.
	Address	Air Force Research Laboratory (AFRL/RISD); Institute for Human and Machine Cognition; Institute for Human and Machine Cognition; Air Force Research Laboratory (AFRL/RISD); Institute for Human and Machine Cognition
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Technologies for First Responders	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/PCYP5515			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2519
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	Author	Landsberg, L.; Gleibs, T.; Mudimu, O.A.
	Title	Design of a Systems Theory Approach for the Evaluation of C2-Systems			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	692-700
	Keywords	Systems Theory; Command And Control; Observation; Evaluation
	Abstract	The course of large-scale incidents as well as disasters can reveal weaknesses in command and control (C2) systems, which make adjustments necessary. Also, new technologies may require C2-systems to be adapted to achieve their full potential for improving incident command. This paper deals with an approach to enable the comparison and evaluation of different C2-systems or their adaptations in order to find the best possible customizations for C2-systems. To this purpose, systems theory is used to unify the approaches of different research disciplines. Within the C2-system boundaries, distinctions were made to represent three different levels of evaluation: “Physical Characteristics”, “Structures and Processes” as well as “C2-system-effectiveness”. During the implementation of the evaluation methods from the different research disciplines into the systems theory approach, it became apparent that the comprehensive approach is desirable, but that broad knowledge and expertise is necessary, especially at the highest evaluation level “C2-system-effectiveness”.
	Address	TH Köln – University of Applied Sciences; TH Köln – University of Applied Sciences; TH Köln – University of Applied Sciences
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Command and Control Studies	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/OVXI9948			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2557
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	Author	Stensrud, R.; Valaker, S.
	Title	Methods to meet changes in the security environment a proposal of qualitative and quantitative assessment attributes for coordination performance			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	676-691
	Keywords	Modelling And Simulation; Multiteam Systems; Control Theory; Emergency Response
	Abstract	The use of methods to inform changes of command and control has long been important, in particular through empirical surveys and computational simulation. In this article, we focus on a particular type of control: “bump less” time-shift of authority during emergency response where it is not desirable to interrupt task resolution (Dess et al.,1984). As an example we address a particular type of control in a sociotechnical use case, i.e. ensuring coordinated action among human and non-human entities, and specifically use as a case shift of who ensures coordinated action when what entities are participating fluctuate over time, yet there is a need to sustain coordination (e.g. due to criticality of sustained performance). We do some work to detail a sociotechnical control mechanism and we present methods for examining the influence such control may have on performing both planned, prescribed, organizational task work as well as dynamic, non-prescribed tasks (Stanton et al., 2018). We argue that measures of high fidelity, with high specificity, defined before task resolution (feedforward) may be particularly important in prescribed change due to the possibility to define clear goals for coordinating and detailing who holds coordination authority. For dynamic change, on the other hand supporting technology that enable a sensing and processing of feedback the number of agents/entities undergoing change is not predetermined and the change of who is best suited to coordinate authority is less clear. Our theorizing is illustrated by using traditional linear control theory emulating shift of control nuanced by an emergency use case. In conclusion, we suggest future directions for research as well as practical implications.
	Address	Norwegian Defence Research Establishment; Norwegian Defence Research Establishment
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Command and Control Studies	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/OQYD8914			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2556
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	Author	Tasneem, F.; Chakraborty, S.; Chy, A.N.
	Title	An Early Synthesis of Deep Neural Networks to Identify Multimodal Informative Disaster Tweets			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	428-438
	Keywords	Early Fusion; Crisis Tweets; BERT-LSTM; ResNet50; Multimodal Framework
	Abstract	Twitter is always worthwhile in facilitating communication during disasters. It helps in raising situational awareness and undertaking disaster control actions as quickly as possible to alleviate the miseries. But the noisy essence of Twitter causes difficulty in distinguishing relevant information from the heterogeneous contents. Therefore, extracting informative tweets is a substantial task to help in crisis intervention. Analyzing only the text or image content of the tweet often misses necessary insights which might be helpful during disasters. In this paper, we propose a multimodal framework to address the challenges of identifying informative crisis-related tweets containing both texts and images. Our presented approach incorporates an early fusion strategy of BERT-LSTM and ResNet50 networks which effectively learns from the joint representation of texts and images. The experiments and evaluation on the benchmark CrisisMMD dataset show that our fusion method surpasses the baseline by 7% and substantiates its potency over the unimodal systems.
	Address	University of Chittagong; University of Chittagong; University of Chittagong
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Social Media for Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/OMIR7766			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2537
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	Author	Borglund, E., A.M.; Granholm, M.
	Title	Challenges in work procedures in distributed crisis management			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	732-737
	Keywords	Crisis Management; Distributed EOC; Tabletop Exercise; Information Technology Use
	Abstract	This is a work in progress paper on work and IT usage in distributed crisis management. The data presented in this paper has been collected at a one-day tabletop exercise with four Swedish municipalities. Four members of the four municipalities’ crisis organizations were invited to the exercise, which was designed as one scenario divided into two cases. At the start of each case of the exercise, each municipality was split into two separate rooms, to simulate a distributed crisis management. During the first case they could communicate using phone, TETRA radio, and the Internet. During case two in the scenario, there was no Internet connection. The study indicates that all the municipalities managed to organize and solve the given tasks using primarily voice communication, in case one using phone or, e.g., Teams, and in case two using TETRA radio. Information sharing using IT was non-existing.
	Address	Mid Sweden University; Mid Sweden University
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Command and Control Studies	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/OBOX5959			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2561
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	Author	Björnqvist, A.; Brodin, W.; Friberg, M.; Berggren, P.
	Title	Identifying Teamwork Processes in a Medical Command and Control Team During the COVID-19 Pandemic			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	711-720
	Keywords	Teamwork; COVID-19; Crisis Response; Command and Control; Healthcare
	Abstract	This paper presents an ethnographic study consisting of non-participatory observations of a Swedish regional medical command and control team during their crisis response to the COVID-19 pandemic. The field-notes from the observations were analyzed using a deductive content analysis with categories representing teamwork processes. The content analysis showed that the studied regional medical command and control team was engaged in all but one of the predefined teamwork processes. Furthermore, the content analysis also added to the understanding of the regional medical command and control team’s work procedures by emphasizing how the team was engaged in the different processes. Lastly, the content analysis also made it possible to identify potential developmental needs of the studied regional medical command and control team.
	Address	Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences, Linköping University; Department of Computer and Information Science, Linköping University; Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences, Linköping University; Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences, Linköping University;
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Command and Control Studies	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/NXFA1134			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2559
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	Author	Restel, H.
	Title	SimulationOps – Towards a Simulation as-a-Service Platform for Resilient Societies Using a Cross-domain Data Mesh			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	575-585
	Keywords	Disaster Resilience; SimulationOps; Simulation Life Cycle; Design Science Research; Data Mesh
	Abstract	Cross-domain simulations can be a feasible approach for enhancing disaster resilience as well as promoting resilient societies. This work-in-progress proposes a data-centric process model and software platform architecture called “SimulationOps” aimed at improving cross-domain collaboration between researchers (simulation analysts, simulation modelers) and stakeholders (disaster responders, decision makers) throughout the simulation life cycle for combined simulation artifacts. This way, stakeholders are supported in mitigating disasters, improving overall resilience by gained insights, and improvements in quality and velocity. Applying a four-cycle Design Science Research model to the simulation lifecycle, it combines ideas from modern and agile software engineering practices, simulation-as-a-service approach, and the Data Mesh approach. It combines the technical IT level with the organizational process level to smoothen the workflow for creating, running, and improving cross-domain computer simulation components for both producers as well as consumers of the simulation life cycle.
	Address	Fraunhofer FOKUS
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/NUER9877			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2548
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	Author	Fatehkia, M.; Imran, M.; Weber, I.
	Title	Towards Real-time Remote Social Sensing via Targeted Advertising			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	396-406
	Keywords	Remote Social Sensing; Real-Time Polling; Flood Mapping; Facebook Advertising
	Abstract	Social media serves as an important communication channel for people affected by crises, creating a data source for emergency responders wanting to improve situational awareness. In particular, social listening on Twitter has been widely used for real-time analysis of crisis-related messages. This approach, however, is often hindered by the small fraction of (hyper-)localized content and by the inability to explicitly ask affected populations about aspects with the most operational value. Here, we explore a new form of social media data collected through targeted poll ads on Facebook. Using geo-targeted ads during flood events in six countries, we show that it is possible to collect thousands of poll responses within hours of launching the ad campaign, and at a cost of a few (US dollar) cents per response. We believe that this flexible, fast, and affordable data collection can serve as a valuable complement to existing approaches.
	Address	Qatar Computing Research Institute; Qatar Computing Research Institute; Saarland Informatics Campus
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Social Media for Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/NEFN8739			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2534
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	Author	Herrera, L.C.; Gjøsæter, T.
	Title	Leveraging Crisis Informatics Experts: A co-creating approach for validation of social media research insights			Type	Conference Article
	Year	2023	Publication	Proceedings of the 20th International ISCRAM Conference	Abbreviated Journal	Iscram 2023
	Volume		Issue		Pages	439-448
	Keywords	Card Sorting Workshop; Practice-Based Research; Crisis Informatics; Support Information System; Validation.
	Abstract	Validation of findings is a challenge in practice-based research. While analysis is being conducted and findings are being constructed out of data collected in a defined period, practitioners continue with their activities. This issue is exacerbated in the field of crisis management, where high volatility and personnel turnover make the capacity to attend research demands scarce. Therefore, conducting classic member validation is logistically challenging for the researcher. The need for rigor and validity calls for alternative mechanisms to fulfill requirements for academic research. This article presents an approach for validation of results of a qualitative study with public organizations that use social media as a source of information in the context of crisis management. The unavailability of original interview-objects to validate our findings resulted in an alternative validation method that leveraged experts in crisis informatics. By presenting our approach, we contribute to encouraging rigor in qualitative research while maintaining the relationship between practice and academia.
	Address	University of Agder; University of Agder
	Corporate Author				Thesis
	Publisher	University of Nebraska at Omaha	Place of Publication	Omaha, USA	Editor	Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
	Language	English	Summary Language		Original Title
	Series Editor	Hosssein Baharmand	Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition	1
	ISSN		ISBN		Medium
	Track	Social Media for Crisis Management	Expedition		Conference
	Notes	http://dx.doi.org/10.59297/MHCV5804			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2538
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