cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Secure Multi-Robot Systems: Threat Identification and Countermeasure Development
Creators: name: Lee, Sangjun
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Control engineering, mechatronics and robotics not elsewhere classified
Autonomous vehicle systems
Intelligent robotics

description: Public use of multi-robot systems has significantly increased and such multi-robot systems are increasingly using open networks for operation, which poses new challenges for robotic systems. For example, a typical multi-robot application receives and transmits a great deal of information between sensors, actuators, and controllers via cyberspace, allowing potential security breaches. The hierarchical nature of multi-robot systems that commonly operated through supervisory control in unprotected communication channels makes itself more vulnerable to cyberthreats. These risks could lead to worst-case scenarios, such as security breaches and safety issues. In this dissertation, we deal with problems concerning the security of multi-robot systems, covering key aspects such as threat identification methodologies and countermeasure developments. Specifically, this dissertation proposes attack diagnosis methods and attack resilient control architectures to ensure the security of multi-robot systems with the following objectives: i) to introduce types of attacks that reveal specific vulnerabilities of robotic systems and corresponding design requirements to describe how a cyberthreat may affect the system functionality; ii) to develop an attack diagnosis scheme that enables each robot in multi-robot systems to continuously monitor undesirable actions caused by cyberthreat; iii) to design an attack-resilient control framework that adapts to undesirable situations so that the overall performance is guaranteed, thus mitigating the impact of attacks; and iv) to evaluate the performance of the proposed systems with both numerical simulations and experiments using real robots. With these objectives, the methodologies proposed in this dissertation are consist of two phases -- attack detection and countermeasure. The attack detection phase is to determine if any agent in multi-robot systems is being attacked. Any abrupt change or unexpected dynamic behavior is identified by a stochastic process-based local diagnosis system. The countermeasure phase is to protect the whole team from adversarial attacks. Attack resilient control algorithms are exploited to recover desirable performance and ensure continuous safe operation of the system. Thus, the proposed methods ensure the desired control performance of multi-robot systems in the presence of different types of attacks. This approach is also capable of providing attack resilient control algorithms of multi-vehicle systems in which each vehicle is modeled as a nonlinear system.
Predicting Barrier Island Shrub Presence Using Remote Sensing Products and Machine Learning Techniques
Creators: name: Zinnert, Julie C.
name: Franklin, Benton
name: Moore, Laura J.
Publisher: name: American Geophysical Union (AGU)
Year: 2024

description: Abstract Barrier islands are highly dynamic coastal landforms that are economically, ecologically, and societally important. Woody vegetation located within barrier island interiors can alter patterns of overwash, leading to periods of periodic‐barrier island retreat. Due to the interplay between island interior vegetation and patterns of barrier island migration, it is critical to better understand the factors controlling the presence of woody vegetation on barrier islands. To provide new insight into this topic, we use remote sensing data collected by LiDAR, LANDSAT, and aerial photography to measure shrub presence, coastal dune metrics, and island characteristics (e.g., beach width, island width) for an undeveloped mixed‐energy barrier island system in Virginia along the US mid‐Atlantic coast. We apply decision tree and random forest machine learning methods to identify new empirical relationships between island geomorphology and shrub presence. We find that shrubs are highly likely (90% likelihood) to be present in areas where dune elevations are above ∼1.9 m and island interior widths are greater than ∼160 m and that shrubs are unlikely (10% likelihood) to be present in areas where island interior widths are less than ∼160 m regardless of dune elevation. Our machine learning predictions are 90% accurate for the Virginia Barrier Islands, with almost half of our incorrect predictions (5% of total transects) being attributable to system hysteresis; shrubs require time to adapt to changing conditions and therefore their growth and removal lags changes in island geomorphology, which can occur more rapidly.
Plain Language Summary In this study, we present two machine learning models for predicting the presence of shrubs on barrier islands. We use data derived from satellites, LiDAR, and aerial imagery to create machine learning models. Using these models, we find that whether or not shrubs are present on barrier islands depends on dune elevation and the width of island interior sustained over time; sufficiently high dune elevations and sufficiently wide widths are necessary to support shrubs. Additionally, in certain areas, we observe a lag between predicted and observed behavior. We attribute this lag to the different time scales over which shrub and barrier island geomorphology processes operate; barrier island geomorphology can change rapidly, but it can take several years for shrubs to respond to these changes.
Key Points    Decision tree analysis and random forest modeling can predict shrub presence on barrier islands in Virginia with ∼90% accuracy   Shrub presence on barrier islands correlates with dune elevations >1.9 m and maintenance of island interior widths >160 m over a ∼6‐year period   Shrub establishment and removal lags changes in geomorphic conditions, indicating hysteresis
Tensor network renormalization approach to antiferromagnetic 6-state clock model on the Union Jack lattice
Creators: name: Homma, Kenji
name: Morita, Satoshi
name: Kawashima, Naoki
Publisher: name: arXiv
Year: 2024
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Using the nuclear norm regularization techniques on tensor network renormalization algorithm, we study the phase diagram, the critical behavior and the duality property of the antiferromagnetic 6-state clock model on the Union Jack lattice. We find that this model undergoes multiple phase transitions; there is the Berezinskii-Kosterlitz-Thouless, $Z_{6}$ symmetry breaking and chiral transition with decreasing temperature. Furthermore, we provide convincing numerical evidence that its quasi-long range order is well explained by the compactified boson conformal field theory (CFT) and the chiral transition is in perfect agreement with the Ising CFT, including central charge, scaling dimension spectrum, and operator product expansion coefficients.
description: 12 pages, 8 figures
sj-pdf-2-epb-10.1177_23998083211041372 - Supplemental material for A game co-design method to elicit knowledge for the contextualization of spatial models
Creators: name: Champlin, Carissa J
name: Flacke, Johannes
name: Dewulf, Geert PMR
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Geography
subject: 120599 Urban and Regional Planning not elsewhere classified
subject: FOS: Social and economic geography

description: Supplemental material, sj-pdf-2-epb-10.1177_23998083211041372 for A game co-design method to elicit knowledge for the contextualization of spatial models by Carissa J Champlin, Johannes Flacke and Geert PMR Dewulf in EPB: Urban Analytics and City Science
Additional file 4 of Research capacity, motivators and barriers to conducting research among healthcare providers in Tanzania’s public health system: a mixed methods study
Creators: name: Kengia, James T.
name: Kalolo, Albino
name: Barash, David
name: Chwa, Cindy
name: Hayirli, Tuna Cem
name: Kapologwe, Ntuli A.
name: Kinyaga, Ally
name: Meara, John G.
name: Staffa, Steven J.
name: Zanial, Noor
name: Alidina, Shehnaz
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 4. Interview protocol.
Additional file 7 of Research capacity, motivators and barriers to conducting research among healthcare providers in Tanzania’s public health system: a mixed methods study
Creators: name: Kengia, James T.
name: Kalolo, Albino
name: Barash, David
name: Chwa, Cindy
name: Hayirli, Tuna Cem
name: Kapologwe, Ntuli A.
name: Kinyaga, Ally
name: Meara, John G.
name: Staffa, Steven J.
name: Zanial, Noor
name: Alidina, Shehnaz
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 7. Percentage of respondents who reported receiving research training by education level and age group.
sj-docx-1-hkj-10.1177_10249079211040971 – Supplemental material for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China
Creators: name: Ge, Zengzheng
name: Feng, Shi
name: Liu, Xiangning
name: Guo, Shigong
name: Gao, Yanxia
name: Lu, Xin
name: Yu, Shiyuan
name: Zhao, Lina
name: Shi, Di
name: Liu, Jihai
name: Zhu, Huadong
name: Li, Yi
Publisher: name: SAGE Journals
Year: 2021
Subjects: Emergency Medicine

description: Supplemental material, sj-docx-1-hkj-10.1177_10249079211040971 for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China by Zengzheng Ge, Shi Feng, Xiangning Liu, Shigong Guo, Yanxia Gao, Xin Lu, Shiyuan Yu, Lina Zhao, Di Shi, Jihai Liu, Huadong Zhu and Yi Li in Hong Kong Journal of Emergency Medicine
Controlled Half-Wave Rectifier Analysis to Change Alternating Current (AC) to Direct Current (DC)
Creators: name: I Nyoman Gede Adrama
name: I Wayan Dikse Pancane
name: I Wayan Suriana
name: I Made Asna
Publisher: name: Zenodo
Year: 2024
Subjects: Controlled Wave, AC Current, DC Current, Silicon Controlled Rectifier (SCR).

description: Abstract: A controlled half-wave rectifier is a device used to convert alternating current (AC) into direct current (DC) with more precise control than a regular half-wave rectifier. The main component used in this device is the Silicon Controlled Rectifier (SCR) which allows for the timing of conduction during the positive cycle of AC waves.

A controlled half-wave rectifier works by allowing an electric current to flow only on the positive half of the AC wave, based on the trigger signal (gate signal) provided to the SCR. This trigger signal determines when the SCR starts conducting during the positive cycle of the AC wave, thus allowing for better control of the output voltage and current.
Mutual Reinforcement Learning
Creators: name: Reid, Cameron S
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Knowledge representation and reasoning
Theory of computation not elsewhere classified

description: Mutual learning is an emerging field in intelligent systems which takes inspiration from naturally intelligent agents and attempts to explore how agents can communicate and cooperate to share information and learn more quickly. While agents in many biological systems have little trouble learning from one another, it is not immediately obvious how artificial
agents would achieve similar learning. In this thesis, I explore how agents learn to interact with complex systems. I further explore how these complex learning agents may be able
to transfer knowledge to one another to improve their learning performance when they are learning together and have the power of communication. While significant research has been done to explore the problem of knowledge transfer, the existing literature is concerned either with supervised learning tasks or relatively simple discrete reinforcement learning. The work presented here is, to my knowledge, the first which admits continuous state spaces and deep reinforcement learning techniques. The first contribution of this thesis, presented in Chapter 2, is a modified version of deep Q-learning which demonstrates improved learning
performance due to the addition of a mutual learning term which penalizes disagreement between mutually learning agents. The second contribution, in Chapter 3, is a presentation work which describes effective communication of agents which use fundamentally different knowledge representations and systems of learning (model-free deep Q learning and model-based adaptive dynamic programming), and I discuss how the agents can mathematically negotiate their trust in one another to achieve superior learning performance. I conclude with a discussion of the promise shown by this area of research and a discussion of problems
which I believe are exciting directions for future research.
sj-docx-2-hkj-10.1177_10249079211040971 – Supplemental material for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China
Creators: name: Ge, Zengzheng
name: Feng, Shi
name: Liu, Xiangning
name: Guo, Shigong
name: Gao, Yanxia
name: Lu, Xin
name: Yu, Shiyuan
name: Zhao, Lina
name: Shi, Di
name: Liu, Jihai
name: Zhu, Huadong
name: Li, Yi
Publisher: name: SAGE Journals
Year: 2021
Subjects: Emergency Medicine

description: Supplemental material, sj-docx-2-hkj-10.1177_10249079211040971 for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China by Zengzheng Ge, Shi Feng, Xiangning Liu, Shigong Guo, Yanxia Gao, Xin Lu, Shiyuan Yu, Lina Zhao, Di Shi, Jihai Liu, Huadong Zhu and Yi Li in Hong Kong Journal of Emergency Medicine
Navigating Life After Breast Cancer: Exploring Participation, Disability, and Support
Creators: name: McArthur, Amy Roder
Publisher: name: University of Illinois Chicago
Year: 2025

description: Although the experiences of many cancer survivors align with existing conceptualizations of disability, there is limited discussion of disability within cancer survivorship research. Additionally, oncology related disability is often framed in terms of individual impairment, effectively ignoring the ways that the environment - specifically systems and policy and the social environment - shape the participation in daily life for cancer survivors. The purpose of this study was to explore the relationships between disability and breast cancer survivorship for young women (under the age of 50) by examining their experiences navigating life after cancer treatment with a focus on the lasting effects of cancer on participation in daily life. This study utilized qualitative interviews and appreciative inquiry focus groups with 9 women with a history of breast cancer to better understand how their activity engagement and participation changed after their diagnosis, their perspectives on the relationship between disability and breast cancer survivorship, and their experiences of desired and received support throughout survivorship. Findings indicate complex interaction between the individual characteristics of breast cancer survivors and the environmental context. This interaction between the individual and their environment influences how these survivors reshaped their individual identity and participation in daily life following active treatment and informed participant recommendations for survivorship supports that acknowledge the unique needs of this population over time. This study supports the need for healthcare systems and society at large to recognize connections between cancer survivorship and disability to validate the lived experiences of breast cancer survivors and design survivorship supports that attend to disability rights relevant to survivors.
Supplemental Material, sj-docx-1-apc-10.1177_23742895211041757 - Feasibility of an Entrustable Professional Activity for Pathology Resident Frozen Section Training
Creators: name: Bryant, Bronwyn H.
Publisher: name: SAGE Journals
Year: 2021
Subjects: Medicine

description: Supplemental Material, sj-docx-1-apc-10.1177_23742895211041757 for Feasibility of an Entrustable Professional Activity for Pathology Resident Frozen Section Training by Bronwyn H. Bryant in Academic Pathology
Existence of unbiased resilient estimators in discrete quantum systems
Creators: name: Navarro, Javier
name: Rodríguez, Ricard Ravell
name: Sanz, Mikel
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The Cramér-Rao bound serves as a crucial lower limit for the mean squared error of an estimator in frequentist parameter estimation. Paradoxically, it requires highly accurate prior knowledge of the estimated parameter for constructing the optimal unbiased estimator. In contrast, Bhattacharyya bounds offer a more robust estimation framework with respect to prior accuracy by introducing additional constraints on the estimator. In this work, we examine divergences that arise in the computation of these bounds and establish the conditions under which they remain valid. Notably, we show that when the number of constraints exceeds the number of measurement outcomes, an estimator with finite variance typically does not exist. Furthermore, we systematically investigate the properties of these bounds using paradigmatic examples, comparing them to the Cramér-Rao and Bayesian approaches.
description: Close to the published version
sj-docx-6-tct-10.1177_15330338211039132 - Supplemental material for Exportin-T: A Novel Prognostic Predictor and Potential Therapeutic Target for Neuroblastoma
Creators: name: Pan, Li-Jia
name: Chen, Jian-Lei
name: Wu, Zhi-Xiang
name: Wu, Ye-Ming
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine
subject: 110320 Radiology and Organ Imaging
subject: Biochemistry

description: Supplemental material, sj-docx-6-tct-10.1177_15330338211039132 for Exportin-T: A Novel Prognostic Predictor and Potential Therapeutic Target for Neuroblastoma by Li-Jia Pan, Jian-Lei Chen, Zhi-Xiang Wu and Ye-Ming Wu in Technology in Cancer Research & Treatment
Fairness in Ranking: Robustness through Randomization without the Protected Attribute
Creators: name: Kliachkin, Andrii
name: Psaroudaki, Eleni
name: Marecek, Jakub
name: Fotakis, Dimitris
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: There has been great interest in fairness in machine learning, especially in relation to classification problems. In ranking-related problems, such as in online advertising, recommender systems, and HR automation, much work on fairness remains to be done. Two complications arise: first, the protected attribute may not be available in many applications. Second, there are multiple measures of fairness of rankings, and optimization-based methods utilizing a single measure of fairness of rankings may produce rankings that are unfair with respect to other measures. In this work, we propose a randomized method for post-processing rankings, which do not require the availability of the protected attribute. In an extensive numerical study, we show the robustness of our methods with respect to P-Fairness and effectiveness with respect to Normalized Discounted Cumulative Gain (NDCG) from the baseline ranking, improving on previously proposed methods.
Additional file 1 of Disease progression model anchored around clinical diagnosis in longitudinal cohorts: example of Alzheimer’s disease and related dementia
Creators: name: Lespinasse, Jérémie
name: Dufouil, Carole
name: Proust-Lima, Cécile
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Cancer
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1.
Additional file 1 of Association of DLT versus SLT with postoperative pneumonia during esophagectomy in China: a retrospective comparison study
Creators: name: Guo, Xukeng
name: Ke, Weiqi
name: Yang, Xin
name: Zhao, Xinying
name: Li, Meizhen
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Marine Biology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Supplementary Table 1. Independent variables collinearity check (VIF selection). Supplementary Table 2. Univariate analysis of covariates vs postoperative pneumonia. Supplementary Table 3. Add covariates to basic model or remove it from full model, check coeff of X X= Type of endotracheal tube. Supplementary Table 4. Selected covariates.
Examining the Moderating Effect of Self-Determination in the Association between Patient Activation and Engagement in Health-Promoting Activities
Creators: name: Rahman, Samina
Publisher: name: Washington State University
Year: 2024
Subjects: patient activation
health
activities
older adults

description: Objective. Engagement in activities that promote overall brain health and well-being is often a key step in reducing risks to cognitive health in older adults. Patient activation, an indicator of health self-management, has been associated with healthier lifestyles and is a target of programs aimed at improving the health outcomes of older adults. This study examined the moderating effect of the psychological needs of autonomy, competence, and relatedness that can
description: help enhance intrinsic motivation, in the relationship between patient activation and health behaviors. Method. Participants were community-living, cognitively normal older adults (age 65+) with subjective cognitive concerns who were enrolled in a lifestyle intervention. The data examined were from participants’ baseline visits in which they completed neuropsychological testing and self-report questionnaires. Moderation analyses were conducted using Hayes’ PROCESS macro for SPSS. Results. Results revealed a significant moderating effect of autonomy and competence. This effect showed that while there was no significant association between patient activation and healthy activity engagement at higher levels of autonomy and competence, there was a significant positive relationship at lower levels. Although results did not show a significant moderating effect of relatedness, it was found to be a significant predictor of healthy activity engagement. Conclusions. Findings suggest that patient activation has a significant impact on healthy behaviors for individuals who have a low baseline of autonomy or competence and no significant impact on those who are high in either of these factors. Future studies might examine other individual characteristics to elucidate potential means to facilitate health-related behavior change in older populations.
Additional file 2 of Association of DLT versus SLT with postoperative pneumonia during esophagectomy in China: a retrospective comparison study
Creators: name: Guo, Xukeng
name: Ke, Weiqi
name: Yang, Xin
name: Zhao, Xinying
name: Li, Meizhen
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Marine Biology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 2: Supplementary Table 5. A timetable on the use of different endotracheal tube. Supplementary Table 6. The detail of timetable on the use of different endotracheal tube and the occurrence of pneumonia. Supplementary Figure 1. Pneumonia in two groups from 2010 to 2020.
LA BUSQUEDA DEL CUERPO ABYECTO EN LA NARRATIVA DE CESAR DAVILA ANDRADE
Creators: name: Hidalgo, Alejandra Vela
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Literature in Spanish and Portuguese
Gender, sexuality and education

description: The narrative of the Ecuadorian César Dávila Andrade (Cuenca, Ecuador 1918 - Caracas, Venezuela 1967) is of great importance for the literature of his country; however, it has not been studied very frequently, as critics have focused on his poetry. This has mainly shown Dávila Andrade as a poet, rather than a narrator. However, his short stories constitute a considerable body of work and must be considered for a global understanding of his work. This dissertation aims to show that the short stories have to be considered an important part of the literary work of Dávila Andrade. Furthermore, the dissertation is part of a process of a contemporary rereading of Ecuadorian canonical authors; specifically, I propose an innovative analysis, based on abjection, gender and body, of texts that have traditionally been studied from narratological and stylistic perspectives only. For this study, I selected stories from different periods in Davila Andrade's career: “Un centinela ve la vida aparecer” (1966), “El hombre que limpió su arma” (1966), “Cabeza de gallo” (1966), “La autopsia” (Revista Tomebamba 1943), “Autopsia” (1952), “Las nubes y las sombras” (1952), “Un cuerpo extraño” (1955), “El último remedio” (1955), “La batalla” (1955), “La mirada de Dios” (1949), and “Ataúd de cartón” (1952). In these short stories, abjection is a subversive category that allows the author to question the constitution and ontology of reality. Julia Kristeva’s theoretical proposal defines abjection as what reminds the individual of a state of being of undifferentiation (before and after existence), in which he/she ceases to be; the presence of the abject puts at risk the existence of the subject within a social system. Specifically, the body in different states in the Davilian narrative is the main abject element that disfigures the categories and hierarchies of symbolic systems (patriarchy and religion are some examples). The Davilian body is essentially feminine and constitutes abjection; it is presented as a border space where reality loses its contours. Similarly, the diseased body and the corpse are constant elements in the Davilian narrative, inhabitants of unstable worlds, which invade places and the characters’ psyches. In conclusion, Dávila Andrade's short stories are occupied by the abjection of bodies, which functions as a concept that allows the dismantling of imposed, closed systems, based on hierarchies, such as patriarchy and religion.
sj-pdf-1-srd-10.1177_23780231211039585 – Supplemental material for Gendered Patterns of Unmet Resource Need among Academic Researchers
Creators: name: Steffy, Kody
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-pdf-1-srd-10.1177_23780231211039585 for Gendered Patterns of Unmet Resource Need among Academic Researchers by Kody Steffy in Socius
title: Investigating the Relationship Between Involuntary Musical Imagery and Other Forms of Spontaneous Cognition
Creators: name: Floridou, Georgia A.
Publisher: name: Goldsmiths, University of London
Year: 2016
Subjects: subject: involuntary musical imagery, earworms, spontaneous cognition, creative cognition

description: Music can exist without sound. In the absence of sound, the mind can, deliberately or not, recall familiar music or generate novel musical material. The ubiquitous, internal experience of music that comes to the mind unintentionally and repeats itself, known as involuntary musical imagery (INMI), constitutes the focus of the present thesis. 

The aim of this research was to investigate the relationship between INMI and other forms of spontaneous and creative cognition in order to (a) elucidate the cognitive states preceding INMI, (b) identify individual differences related to spontaneous phenomena, and (c) describe phenomenological aspects of novel INMI. Three studies focused on the connection between INMI and spontaneous cognition. A probe-caught experience sampling and a behavioral study showed that the cognitive states associated with INMI occurrence are related to low cognitive load, as holds for other involuntary phenomena. The development of a scale measuring different INMI aspects revealed similarities with other forms of spontaneous cognition and allowed the exploration of individual differences as well as the investigation of relationships with other aspects of musical behaviors and auditory imagery abilities. A fourth, interview-based study explored the relationship between novel INMI and creative cognition and by elucidating the phenomenological aspects of the experience as well as of the translation of the inner experience to an external outcome, identified similarities with familiar INMI, voluntary musical imagery, and creative musical imagery. 

Overall, the results of this research suggest that INMI overlaps to some extent with other forms of spontaneous and creative cognition, music perception, and voluntary musical imagery. Novel methodological tools that were developed for the purposes of this research and findings regarding the subjective evaluation of the experience and the element of repetition will also be discussed. Finally, issues related to terminology, length of the experience, research methodology, future avenues, and possible applications will be considered.
title: The Remediation of the MUM App: Reconfiguring the Museum and its Socio-cultural Politics
Creators: name: Herman, Ana-Maria Aurora
Publisher: name: Goldsmiths, University of London
Year: 2016
Subjects: subject: Actor-network theory, museums, apps, remediation

description: This research study traces the ‘remediation’ (Bolter and Grusin, 2000) of a ‘digital’ display, the McCord Museum’s MTL Urban Museum App, exploring the role of digital media technologies, among other heterogeneous actors, in ‘reconfiguring’ (Suchman, 2007) subjects, objects, practices and spaces while inspecting the socio- cultural politics of these processes. Drawing on a theoretical framework that brings together new media studies, actor-network theory, feminist writing in science and technology studies, the sociology of art and spatial studies, this thesis traces how the App was remediated and examines how it is used in practice. The study first investigates how the App was (re)made by looking at the actors involved. The thesis unveils emerging relations between the Museum and commercial organisations, technology platforms, infrastructures, collections and visitors; and the competing social, cultural, economic and political interests among these heterogeneous actors shows a changing set of negotiations in the Museum’s display practices. Next the study examines how the App is used in two novel practices: viewing collections in ‘augmented reality’ and managing the App’s display using Google Analytics. In examining how the App is used in practice, the thesis also reveals the App’s role, among other (unexpected) actors, in precariously rescripting and/or reclassifying objects, subjects and practices, as well as reordering and rewriting urban spaces. By exploring the role of the App along with these other actors in such practices and processes the thesis also looks to contribute to particular debates on agency.
COMPRESSED MOBILENET V3: AN EFFICIENT CNN FOR RESOURCE CONSTRAINED PLATFORMS
Creators: name: Prasad, Kavyashree Pras Shalini Pradeep
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Digital processor architectures
Other information and computing sciences not elsewhere classified

description: Computer Vision is a mathematical tool formulated to extend human vision to machines. This tool can perform various tasks such as object classification, object tracking, motion estimation, and image segmentation. These tasks find their use in many applications, namely robotics, self-driving cars, augmented reality, and mobile applications. However, opposed to the traditional technique of incorporating handcrafted features to understand images, convolution neural networks are being used to perform the same function. Computer vision applications widely use CNNs due to their stellar performance in interpreting images. Over the years, there have been numerous advancements in machine learning, particularly to CNNs. However, the need to improve their accuracy, model size and complexity increased, making their deployment in restricted environments a challenge. Many researchers proposed techniques to reduce the size of CNN while still retaining its accuracy. Few of these include network quantization, pruning, low rank, and sparse decomposition and knowledge distillation. Some methods developed efficient models from scratch. This thesis achieves a similar goal using design space exploration techniques on the latest variant of MobileNets, MobileNet V3. Using Depthwise Pointwise Depthwise (DPD) blocks, escalation in the number of expansion filters in some layers and mish activation function MobileNet V3 is reduced to 84.96% in size and made 0.2% more accurate. Furthermore, it is deployed in NXP i.MX RT1060 for image classification on CIFAR-10 dataset.
title: ‘Uprisings Do Not Enter Museums’:
Invoking the 1973 Athens Polytechnic Uprising, A Study of Political Myths
Creators: name: Iossifidis, Miranda Jeanne Marie
Publisher: name: Goldsmiths, University of London
Year: 2016
Subjects: subject: Uprisings, Athens, political myth, urban sociology

description: This project explores the multiplicity of contemporary invocations of the 1973 Athens Polytechnic uprising as remembrance practices of political myth-making (Bottici, 2007), focusing on the annual commemoration of the uprising in 2012 and 2013. Contextualised within the contemporary ‘crisis,’ this thesis poses the following questions: how and why are images of the Polytechnic uprising invoked and made transmissible in the present through remembrance practices? How are such practices meaningful for people involved in everyday political action? Using mixed ethnographic methods - audio-visual artefacts, pamphlets, interviews, and participant observation - I propose that urban sociologists concerned with political action should be attentive to political myths. I argue that the different spaces and temporalities created through myth-making are tied to different imaginations of political action. I situate these practices in Exarcheia, and explore how this area is produced as an exceptional space of contentious politics. While most scholarship focuses on myths of the nation-state, I disentangle competing dominant and counteractive political myths. I analyse how dominant political myths create a linear homogenous concept of time, and fabricate the Polytechnic as a space of mourning and, sometimes, extremism. I explore the heterogeneous counteractive political myths through the production of counterspaces, examining how participants make artefacts using dialectical images to create distinct temporalities of a ‘contemporary Junta’ and a discontinuous history of tenacious resistance. I show how creating, sharing, and interpreting myths is meaningful for people in terms of political subjectivity and generating affective agency. I argue that these practices can be considered forms of indirect resistance, with the annual commemoration a ‘coming together’ serving as a resource that fortifies people’s capacity to resist. This project hopes to build on the rich interdisciplinary contemporary scholarship on Greek urban political action by taking into account the importance of remembrance practices of political myth-making.
VOCAL RESTORATION PROGRAMS FOLLOWING ACUTE VOCAL EXERTION
Creators: name: Fujiki, Robert Brinton
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Otorhinolaryngology

description: Voice disorders impede communication and diminish quality of life for over 17 million adults in the United States. Vocal exertion is a common cause of adverse laryngeal and respiratory changes that may lead to voice disorders. Despite the risks associated with vocal exertion, little is known about how its negative effects might be mitigated - both when voice production is initially affected and when an individual must continue to speak over time. Two strategies demonstrate potential for mitigating the effects of vocal exertion: (a) semi-occluded vocal tract exercises (SOVTE) with straw and (b) vocal rest. Vocal rest allows for wound healing by limiting vocal fold vibration. There is, however, growing evidence that low-level tissue mobilization through SOVTEs may more effectively reduce pathobiological changes from vocal exertion by increasing vocal fold anti-inflammatory mediators while limiting inflammatory cytokines. This study investigated whether SOVTE or vocal rest could better mitigate the negative effects of vocal exertion on voice measures and respiratory kinematics. The effectiveness of both regimens was compared in individuals reporting both low and high amounts of vocal fatigue in everyday speaking environments. Results indicated that ten minutes of vocal exertion resulted in changes in voice and respiratory measures both in individuals reporting high and low levels of vocal fatigue. Voice measures revealed similar patterns in both groups; however, individuals reporting low and high levels of vocal fatigue employed different respiratory strategies following vocal exertion. In individuals reporting low levels of vocal fatigue, laryngeal and respiratory changes were reversed by SOVTE and vocal rest. Only SOVTE protected against changes in respiratory kinematics when vocal exertion was resumed. In individuals reporting high levels of vocal fatigue, exertion-induced changes in voice measures were only partially reduced; however, both strategies had a protective effect on respiratory kinematics after vocal exertion was resumed. These findings add to our knowledge of vocal fatigue, vocal exertion, the effects of multiple exertion tasks on speech physiology, and the interaction between the respiratory and laryngeal systems.
ANALYTICAL METHODS FOR EFFECTIVE OPERATION OF HUNGER-RELIEF LOGISTICS
Creators: name: Sucharitha, Rahul
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Logistics
Supply chains

description: Food Banks play an important role in assuaging hunger and improving food security in many nations worldwide. These organizations provide food and services to people in need. Food banks rely on food and cash donations that occur infrequently, to meet their objectives. In a highly uncertain environment such as this, balancing the supply and demand of food is challenging considering the limited availability of resources and the complex system. This research addresses these challenges and presents and analyses several statistical and mathematical models to facilitate the distribution of food to the food insecure in a sustainable and effective manner. The objective of this research is to develop data-driven models and analytical techniques and developing decision support frameworks to assist the food bank administrators in understanding the dynamics of supply and demand of food donations and improve the prediction accuracies of the food supply and demand behavior at various levels of planning to ensure equitable and efficient distribution of food to the food insecure. First, a systematic review was conducted to research the evolving literature in the field of food bank logistics. Perusal of the literature shows that research in the field of food bank logistics is in evolving phase and issues pertaining to fairness, sustainability, cost reduction, food quality and nutrition, data uncertainty, and food waste study have not been reviewed extensively. Second, for understanding the food supply behavior, a novel hybrid model combining ARIMA and neural network autoregressive (NNAR) model was proposed for univariate analysis and the work was extended to conduct a multi-variate numerical analysis implementing machine learning algorithms with Random Forests (RF) best capturing the complex structure of the data. Thirdly, to understand the dynamics of the food demand behavior, a Gaussian Mixture Model (GMM) clustering method is implemented to identify the possible causes of food insecurity in a given region by means of understanding the characteristics and structure of the food assistance network in a particular region, and the clustering result is further utilized to explore the patterns of uncertain food demand behavior and its significant importance in inventory management and redistribution of surplus food thereby developing a two-stage hybrid food demand estimation model with the proposed method significantly improving the prediction accuracies. Finally, the results of the analytical methods implemented and developed to study the supply and demand of the food donations is extracted and used to develop a conceptual framework for designing a decision support system to apply visual analytics to a food bank’s decision-making process.
Additional file 1 of Clinicomics-guided distant metastasis prediction in breast cancer via artificial intelligence
Creators: name: Zhang, Chao
name: Qi, Lisha
name: Cai, Jun
name: Wu, Haixiao
name: Xu, Yao
name: Lin, Yile
name: Li, Zhijun
name: Chekhonin, Vladimir P.
name: Peltzer, Karl
name: Cao, Manqing
name: Yin, Zhuming
name: Wang, Xin
name: Ma, Wenjuan
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology
subject: FOS: Biological sciences

description: Additional file 1: Supplemental Materials and Methods. Supplementary Table S1. Texture features used in this study. Supplementary Table S2. Clinicopathologic characteristics between breast cancer patients with /without distant metastasis in different age groups (Training set). Supplementary Table S3. Performance comparison among radiomics model in the training and validation set of different image types. Supplementary Figure S1. Construction of the clinicopathological model for predicting distant metastasis (DM). (A) A nomogram was developed in the training data set with clinicopathological characteristics. Calibration curves and ROC of the nomogram for the training set (B and D) and validation set (C and E). Supplementary Figure S2. The difference analysis among different radiomics signature models with DeLong test in training set (A-C) and validation set (D-F).
sj-docx-3-tag-10.1177_17562848211042185 – Supplemental material for Systematic review and meta-analysis of clinical outcomes of COVID-19 patients undergoing gastrointestinal endoscopy
Creators: name: Tan, Xiangzhou
name: Guo, Jianping
name: Chen, Zihua
name: Königsrainer, Alfred
name: Wichmann, Dörte
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: FOS: Health sciences
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-3-tag-10.1177_17562848211042185 for Systematic review and meta-analysis of clinical outcomes of COVID-19 patients undergoing gastrointestinal endoscopy by Xiangzhou Tan, Jianping Guo, Zihua Chen, Alfred Königsrainer and Dörte Wichmann in Therapeutic Advances in Gastroenterology
sj-pdf-1-jag-10.1177_07334648211040383 – Supplemental material for A Qualitative Study of the Social and Lived Experiences of Homebound Older Adults
Creators: name: Cheng, Joyce M.
name: Batten, George P.
name: Yao, Nengliang (Aaron)
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-1-jag-10.1177_07334648211040383 for A Qualitative Study of the Social and Lived Experiences of Homebound Older Adults by Joyce M. Cheng, George P. Batten and Nengliang (Aaron) Yao in Journal of Applied Gerontology
Synthesis of Magnesium Carbonate Polymorphs from Indonesia Traditional Salt Production Wastewater
Creators: name: Apriani, Mirna
name: Wahyono Hadi
name: Masduqi, Ali
Publisher: name: The Thai Society of Higher Education Institutes on Environment
Year: 2018
Subjects: Bittern
Magnesium
Magnesium carbonate hydrate
Morphology
Nesquehonite

description: EnvironmentAsia, 11, 2, 140-148
How the CC BY License for Preprints Impacts Journal Publication A Guide for Researchers (Arabic version)
Creators: name: Creative Commons
Publisher: name: Zenodo
Year: 2025
Subjects: طبعات قبلية
ترخيص
وصول مفتوح
علوم المفتوحة
بحوث مفتوحة
بحوث
علوم

description: ما مدى تأثير رخصة CC BY الخاصة بالطبعات القبلية على عملية النشر في الدوريات؟ دليل للباحثات والباحثين

دليل حول نشر إصدارات جديدة من بحثك بعد ترخيص طبعتك القبلية بموجب CC BY 

A guide to publishing further versions of your research after licensing your preprint CC BY.

This document has been translated to Arabic by Thalia Rahme.
sj-pdf-3-jsr-10.1177_10946705211035004 – Supplemental Material for Building Reflexivity Using Service Design Methods
Creators: name: Vink, Josina
name: Koskela-Huotari, Kaisa
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: 150402 Hospitality Management

description: Supplemental Material, sj-pdf-3-jsr-10.1177_10946705211035004 for Building Reflexivity Using Service Design Methods by Josina Vink and Kaisa Koskela-Huotari in Journal of Service Research
Additional file 3 of Spatial biology of Ising-like synthetic genetic networks
Creators: name: Simpson, Kevin
name: L’Homme, Alfredo
name: Keymer, Juan
name: Federici, Fernán
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Developmental Biology
subject: Plant Biology

description: Additional file 3: Supplementary figures S13. Finite-size scaling analysis of Contact Process Ising Model (CPIM). Supplementary figures S14. Magnetization and Neighborhood size. Supplementary figures S15. Time series of colonies of spherical E. coli cells carrying the ferromagnetic system with reporter vector 1. Supplementary figures S16. Dynamics of reporter gene expression (spin flipping rates) in ferromagnetic colonies of spherical E. coli cells. Supplementary figures S17. Neighborhoods and Probability. Supplementary figures S18. Colony size expansion in a 3 point time series. Supplementary figures S19. Average size of spherical E. coli cells. Supplementary figures S20. Colonies of rod-shaped E. coli cells carrying the ferromagnetic system with reporter vector 1 or 2. Supplementary figures S21. Colonies of rod-shaped E. coli cells carrying the anti-ferromagnetic system with reporter vector 1 or 2. Supplementary figures S22. Colonies of spherical E. coli cells carrying the ferromagnetic system with reporter vector 1 or 2. Supplementary figures S23. Colonies of spherical E. coli cells carrying the anti-ferromagnetic system with reporter vector 1 or 2.