cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
sj-pdf-1-sed-10.1177_00224669211041395 – Supplemental material for Quantitative Analysis of Classroom Communication Environments for Learners With Deafblindness
Creators: name: Brady, L. Beth
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: Education
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 130312 Special Education and Disability
subject: FOS: Educational sciences

description: Supplemental material, sj-pdf-1-sed-10.1177_00224669211041395 for Quantitative Analysis of Classroom Communication Environments for Learners With Deafblindness by L. Beth Brady in The Journal of Special Education
The Metaphysics of Goodness
Creators: name: Chan, Berman
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Philosophy not elsewhere classified
Metaphysics

description: What is it for something to be good? Using the example of an Ebola-like microbe, I argue that a merely kind-based account of goodness is defective (Chapter 1). I offer instead an account that is both kind-based and platonic (Chapter 2). On such an account, goodness turns out to be non-natural (Chapter 3). However, non-naturalists can explain why the goodness of an individual supervenes on its natural properties, by appealing to the essence of the kind to which it belongs (Chapter 4).
sj-docx-7-aut-10.1177_13623613211045029 – Supplemental material for Prevalence of epilepsy in autism spectrum disorders: A systematic review and meta-analysis
Creators: name: Liu, Xian
name: Sun, Xin
name: Sun, Caihong
name: Zou, Mingyang
name: Chen, Yiru
name: Huang, Junping
name: Wu, Lijie
name: Chen, Wen-Xiong
Publisher: name: SAGE Journals
Year: 2021
Subjects: Psychology not elsewhere classified
Psychiatry (incl. Psychotherapy)
Public Health and Health Services not elsewhere classified
Education
Special Education and Disability

description: Supplemental material, sj-docx-7-aut-10.1177_13623613211045029 for Prevalence of epilepsy in autism spectrum disorders: A systematic review and meta-analysis by Xian Liu, Xin Sun, Caihong Sun, Mingyang Zou, Yiru Chen, Junping Huang, Lijie Wu and Wen-Xiong Chen in Autism
sj-docx-1-eeg-10.1177_15500594211039937 - Supplemental material for Association Between the Visual N1-P2 Complex and Neuroticism
Creators: name: Xiu, Bowen
name: Andanty, Christopher
name: Dai, Nasia
name: Zai, Clement C.
name: Graff, Ariel
name: McNeely, Heather
name: Daskalakis, Zafiris J.
name: De Luca, Vincenzo
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Neuroscience

description: Supplemental material, sj-docx-1-eeg-10.1177_15500594211039937 for Association Between the Visual N1-P2 Complex and Neuroticism by Bowen Xiu, Christopher Andanty, Nasia Dai, Clement C. Zai, Ariel Graff, Heather McNeely, Zafiris J. Daskalakis and Vincenzo De Luca in Clinical EEG and Neuroscience
QUANTITY: An Isobaric Tag for Quantitative Glycomics
Creators: name: Yang, Shuang
name: Wang, Meiyao
name: Chen, Lijun
name: Yin, Bojiao
name: Song, Guoqiang
name: Turko, Illarion V.
name: Phinney, Karen W.
name: Betenbaugh, Michael J.
name: Zhang, Hui
name: Li, Shuwei
Publisher: name: Digital Repository at the University of Maryland
Year: 2015

description: Funding for Open Access provided by the UMD Libraries Open Access Publishing Fund.
description: Glycan is an important class of macromolecules that play numerous biological functions. Quantitative glycomics - analysis of glycans at global level - however, is far behind genomics and proteomics owing to technical challenges associated with their chemical properties and structural complexity. As a result, technologies that can facilitate global glycan analysis are highly sought after. Here, we present QUANTITY (Quaternary Amine Containing Isobaric Tag for Glycan), a quantitative approach that can not only enhance detection of glycans by mass spectrometry, but also allow high-throughput glycomic analysis from multiple biological samples. This robust tool enabled us to accomplish glycomic survey of bioengineered Chinese Hamster Ovary (CHO) cells with knock-in/out enzymes involved in protein glycosylation. Our results demonstrated QUANTITY is an invaluable technique for glycan analysis and bioengineering.
Spatiotemporal Analysis of Cardiac Disease Using Murine Four-Dimensional Ultrasound
Creators: name: Damen, Frederick W
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Biomechanical engineering
Biomedical engineering not elsewhere classified
Software engineering not elsewhere classified
Medical biochemistry and metabolomics not elsewhere classified
Clinical microbiology
Cardiology (incl. cardiovascular diseases)

description: Cardiac disease remains the number one cause of all mortality in the United States, prompting a continued effort to understand the various factors that exacerbate heart disease. To this end, murine models of cardiac disease have served a crucial role by allowing researchers to systematically manipulate disease-linked factors and longitudinally track changes in cardiovascular function. Routine assessment of heart function in these mice is often conducted using high-frequency ultrasound; however, cardiac function metrics drawn from conventional ultrasound imaging heavily relies on measurements obtained from a representative slice of the heart and idealized geometries of the left ventricle. While high-field cine-MRI can circumvent these limitations with volumetric imaging, our group has recently developed and validated a high frequency four-dimensional ultrasound (4DUS) technique that provides higher spatiotemporal resolution, comparable accuracy in cardiac metrics, and relatively faster acquisitions compared to cine-MRI. We have also developed standardized analysis methods for left-ventricular 4DUS data, encapsulated in a custom interactive software toolbox. Our software helps users measure regionally-specific myocardial kinematics, interpolates a four-dimensional mesh of the endo- and epi-cardial boundaries, and then quantifies various myocardial strain metrics. We have applied these tools to study disease progression in two murine models of pathological cardiac hypertrophy (i.e. Cpt2M-/- and Nkx2-5183P/+). Backed by our demonstrated findings, we aim to provide researchers studying cardiac disease a more comprehensive approach to characterizing their chosen models, and increase the scientific reach of cardiovascular research at large.
Body detachment in response to emotions: Evidence from a rubber hand illusion study in adolescent patients with non-suicidal self-injurious behavior and dissociative symptoms
Creators: name: Schroter, Franziska A.
name: Otto, Alexandra
name: Kandsperger, Stephanie
name: Brunner, Romuald
name: Jansen, Petra
Publisher: name: Universität Regensburg
Year: 2025
Subjects: subject: Dissociation, Sense of ownership, Rubber hand illusion, Arousal, Emotion
subject: 150 Psychologie
subject: 796 Sport

description: Previous studies have proposed a connection between dissociation and the sense of body ownership, and initial evidence suggests that emotions could modulate this relationship. Here we aimed to investigate how differently arousing emotions influence the malleability of the bodily self. This study included 50 adolescent psychiatric patients with non-suicidal self-injurious behavior (NSSI)—who were divided into low-dissociation and high-dissociation groups—along with 25 healthy controls. Participants completed six trials of the rubber hand illusion while listening to neutral, sad, or fearful vocalizations. Heart rate, skin conductance level, and non-specific skin conductance responses were concomitantly measured. After each trial, participants completed the rubber hand illusion questionnaire as a subjective illusion measure, and acute dissociation, mood, and proprioceptive drift were assessed. Overall, the NSSI high-dissociation group reported the highest subjective illusion under all conditions. Additionally, fearful vocalizations resulted in a stronger subjective illusion than the neutral condition in the NSSI low-dissociation group, but not in the NSSI high-dissociation and healthy control groups. The NSSI low-dissociation group showed a higher proprioceptive drift than the NSSI high-dissociation group. Moreover, acute dissociation was positively related to subjective illusion, but not related to proprioceptive drift. In conclusion, body detachment in response to emotions may be responsible for the malleability of the sense of body ownership. This finding highlights the need for clinical interventions to stabilize self-experiences during emotional situations, especially in patients with dissociative symptoms.
Prosodic Structure as a Parallel to Musical Structure
Creators: name: Heffner, Christopher C.
name: Slevc, L. Robert
Publisher: name: Digital Repository at the University of Maryland
Year: 2015
Subjects: musical structure
prosody
prosodic structure
music perception
speech perception

description: Funding for Open Access provided by the UMD Libraries Open Access Publishing Fund.
description: What structural properties do language and music share? Although early speculation identified a wide variety of possibilities, the literature has largely focused on the parallels between musical structure and syntactic structure. Here, we argue that parallels between musical structure and prosodic structure deserve more attention. We review the evidence for a link between musical and prosodic structure and find it to be strong. In fact, certain elements of prosodic structure may provide a parsimonious comparison with musical structure without sacrificing empirical findings related to the parallels between language and music. We then develop several predictions related to such a hypothesis.
FLEXIBLE PIEZOELECTRIC NANO-SENSOR FOR INFRASTRUCTURE SENSING
Creators: name: Han, Guangshuai
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Civil engineering not elsewhere classified
Composite and hybrid materials

description: Piezoelectric sensors have been widely used in the field of infrastructure sensing. However, the materials used for piezoelectric sensor fabrication are dominated by ceramic materials, which has the shortcoming of intrinsic brittleness. Therefore, the application of the piezoelectric sensors is limited to the condition with tiny strain levels. This study set out to develop a piezoelectric nano-sensor with good piezoelectricity and flexibility to address the current bottleneck of piezoelectric-based infrastructure sensing. The experiment program starts from the polymer-based piezoelectric materials, PVDF (Polyvinylidene fluoride or polyvinylidene difluoride) nanofiber, synthesis by using electrospinning process. The materials characterization results reveal the correlation within the materials synthesis methods, nanostructure, and material properties. The materials synthesis techniques for nanostructure control and improve piezoelectric performance are presented in this dissertation. The piezoelectric nano-sensor was fabricated by using an ink-jet printing process. This study further utilized the COMSOL Multiphysics simulation to guide the piezoelectric nano-sensor packaging design from the perspective of energy dissipation. The optimized piezoelectric nano-sensor was then used for civil engineering materials strength sensing and damage detection. The electric response from the piezoelectric nano-sensor is sensitive to the mechanical strength of the sensing structure. The piezoelectric nano-sensor's voltage output can also be a good indicator for damage detection at a decent strain level. A natural progression of this work is to explore the roll-to-roll manufacturing methods for large-scale piezoelectric nano-sensor fabrication. As part of the infrastructure component, the piezoelectric nano-sensor is effective for the mechanical property evaluation and preliminary damage assessment. Moreover, incorporating the artificial intelligence-guided signal process, the piezoelectric nano-sensor could better understand the condition of the infrastructure.
title: 'Psycho-Physical Wholes' : The Influence of F.M. Alexander and William Sheldon on Aldous Huxley's Works
Creators: name: Leavey, James
Publisher: name: Goldsmiths, University of London
Year: 2015
Subjects: subject: Aldous Huxley, F. M. Alexander, Alexander Technique, William Sheldon, Somatotypes, Mind-Body

description: Aldous Huxley’s writings, which exhibit his avid interest in all areas of knowledge, including the arts, the sciences, religion, politics, philosophy and psychology, display a tendency to adopt, and attempt to synthesise, the ideas of others, as well as a willingness to embrace unorthodox thinkers. This thesis examines how the works of Aldous Huxley were influenced by two men whose ideas focused upon the relationship between the mind and body: Frederick Matthias Alexander (1869-1955), inventor of the mind-body therapy known as the Alexander Technique, and Dr William Sheldon (1898-1977), a constitutional psychologist who developed a theory of mind-body types.
The phrase ‘psycho-physical wholes’ in the thesis title is taken from a letter from Huxley to E. S. P. Haynes in March 1945: ‘Sheldon considers human beings as they really are – psycho-physical wholes or mind-bodies’.1 This is the central theme of the thesis; it will examine how Alexander’s and Sheldon’s particular conceptions of human beings as psycho-physical entities were profoundly influential upon Huxley’s writings. The thesis as a whole thus provides an important contribution to the study of Huxley’s conception of the relationship between mind and body, and the works he wrote which were impacted by this conception. It provides a contribution to the understanding of the influences that helped to shape the works of Huxley. It sheds further light on the origins of Huxley’s ideas and characters, thus providing additional insight into the often unorthodox ideas that influenced the works of writers and intellectuals in the interwar and postwar period.
SIFATNI BAHOLASH VA JARAYONLARNI BOSHQARISH. METALL KONSTRUKTSIYALARDA PAYVANDLANGAN BO'G'INLAR-UMUMIY NUQTASI
Creators: name: Abdullayev, SH.A.
Publisher: name: Zenodo
Year: 2024

description: ushbu maqola sanoatda payvandlashning etukligi va dinamikasini ifodalashga qaratilgan. Bu erda payvandlash jarayonlari sohasidagi eng dolzarb mavzularga kirish sifatida tavsiflangan xalqaro qurilish standartlari va qoidalarini to'g'ridan-to'g'ri kuzatish kuzatiladi. Payvandlangan qurilishda sifat menejmenti yaxshi tartibga solingan protseduralarni o'z ichiga oladi, ammo ular juda katta bo'lib, ular juda murakkab. Aslida, har bir aniq ish uchun qo'llaniladigan yuzlab qoidalar mavjud. Bu hech bo'lmaganda katta mas'uliyat bo'lgan hollarda payvandlash koordinatoriga ega bo'lishni talab qiladi.
title: IAB-Monitor Arbeitskräftebedarf 4/2024: Die Zahl der offenen Stellen ist saisonbedingt leicht gestiegen
Creators: name: Gürtzgen, Nicole
name: Kubis, Alexander
name: Popp, Martin
Publisher: name: Institut für Arbeitsmarkt und Berufsforschung
publisherIdentifier: https://ror.org/02qcqwf93
publisherIdentifierScheme: ROR
Year: 2025
Subjects: Arbeitskräftesicherung
Arbeitsnachfrage
Fachkräftesicherung
IAB-Stellenerhebung
offene Stellen
Vakanzrate

description: Das gesamtwirtschaftliche Stellenangebot ist gegenüber dem Vorjahresquartal weiterhin rückläufig. Im Vergleich zum vierten Quartal 2023 liegt die Zahl der offenen Stellen rund 19 Prozent niedriger. Gegenüber dem Vorquartal liegt die Zahl der offenen Stellen hingegen rund 10 Prozent höher. Die Entwicklung am aktuellen Rand entspricht dem erwarteten saisonalen Muster.
description: IAB-Forum, 2025-03-14.01
Two dimensional delta Bose gas in a weighted space
Creators: name: Surendranath, Sudheesh
name: Tsai, Li-Cheng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: We extend the construction of the semigroup of the two-dimensional delta-Bose gas in Gu, Quastel, and Tsai (2021) (based on Rajeev (1999) and Dimock and Rajeev (2004)) to a weighted $L^2$ space that allows exponentially growing functions. We further show that the semigroup of the mollified delta-Bose gas converges strongly to that of the delta-Bose gas.
description: 10 pages
title: Spook and the Jewel Thief & The Polyvalent Plaything : Three Forms of Play in 20th and 21st Century Poetry
Creators: name: Parry, Abigail
Publisher: name: Goldsmiths, University of London
Year: 2015
Subjects: subject: Poetry, play, games, creative writing

description: This thesis identifies and explores three forms of play in poetry: specifically, the ‘interred’ (or etymological) pun, the hypogram, and the manipulation of what Johnson terms discordia concors, or harmonious discord.  The precise mechanics of each are scrutinized with close readings of the work of Geoffrey Hill, Paul Muldoon and Jen Hadfield.  Extrapolating from these analyses, the behaviour and potential uses of play are examined more broadly in relation to formal play, sonic play, punning, and oppositional texturing.  It will be shown that the more ludic a poem, the greater the risk that it will turn in on itself; the anatomy of the poem is therefore compared to its etymological counterpart, the riddle.     
The thesis concludes that play, in this context, should be viewed as a fundamentally telic activity.  The forms of play examined all function as what may be termed a contrivance of coincidence; successful contrivance behaves surprisingly algorithmically, and sensitivity to its mechanics means that play may be put to poetic purpose.  A collection of poems – Spook and the Jewel Thief – is submitted in support of this thesis, and demonstrates some of the ways in which play may be deployed.
Analyzing Sensitive Data with Local Differential Privacy
Creators: name: Wang, Tianhao
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: System and network security
Data structures and algorithms
Database systems

description: Vast amounts of sensitive personal information are collected by companies, institutions and governments. A key technological challenge is how to effectively extract knowledge from data while preserving the privacy of the individuals involved. In this dissertation, we address this challenge from the perspective of privacy-preserving data collection and analysis. We focus on investigation of a technique called local differential privacy (LDP) and studied several aspects of it.

In particular, the thesis serves as a comprehensive study of multiple aspects of the LDP field. We investigated the following seven problems: (1) We studied LDP primitives, i.e., the basic mechanisms that are used to build LDP protocols. (2) We then studied the problem when the domain size is very big (e.g., larger than $2^{32$), where finding the values with high frequency is a challenge, because one needs to enumerate through all values. (3) Another interesting setting is when each user possesses a set of values, instead of a single private value. (4) With the basic problems visited, we then aim to make the LDP protocols practical for real-world scenarios. We investigated the case where each user's data is high-dimensional (e.g., in the census survey, each user has multiple questions to answer), and the goal is to recover the joint distribution among the attributes. (5) We also built a system for companies to issue SQL queries over the data protected under LDP, where each user is associated with some public weights and holds some private values; an LDP version of the values is sent to the server from each user. (6) To further increase the accuracy of LDP, we study how to add post-processing steps to protocols to make them consistent while achieving high accuracy for a wide range of tasks, including frequencies of individual values, frequencies of the most frequent values, and frequencies of subsets of values. (7) Finally, we investigate a different model of LDP which is called the shuffler model. While users still use LDP algorithms to report their sensitive data, now there exists a semi-trusted shuffler that shuffles the users' reports and then send them to the server. This model provides better utility but at the cost of requiring more trust that the shuffler should not collude with the server.
title: Almost Everything, Worse Than Nothing
title: Gender and the Brother-Sister Relationship in British Literature, 1600-1815
titleType: Subtitle
Creators: name: Salazar, Elizabeth Lunnen
Publisher: name: Washington State University
Year: 2024
Subjects: british literature
early modern studies
eighteenth century studies
gender
siblinghood

description: My dissertation argues that, between approximately 1600 and 1815, literary depictions of the relationships between brothers and sisters reflect persistent anxieties around the ramifications of brother-sister connectivity on cultural conceptualizations of essential gender difference and inequality. At the same time, these depictions also reflect a larger cultural shift away from the primacy of the birth family in favor of conjugal ties in cultural discourse and practice, weakening but not eradicating the social danger posed by the brother-sister relationship. Whether we see evolution or difference, what we see most of all is a meeting of larger cultural context with specific literary depictions and continually fraught navigation of gender and familial dynamics that resonates into the present.
title: Towards the Oracle Machine. An exploration of decision making processes through the use of software, media divination and other shamanic techniques in realtime audiovisual performance
Creators: name: Oreggia, Eleonora Maria Irene
Publisher: name: Goldsmiths, University of London
Year: 2015
Subjects: subject: uncertainty, decision, chance, divination, media art, oracle, performance, audiovisual, xname

description: This thesis uses computational art practice to explore the question of indeterminacy and uncertainty in contemporary societies. It explores the issues navigating through different disciplines, starting from a preamble where the discoveries of quantum mechanics are confronted with the vision of modern and contemporary empiricists and re-articulated in post-structuralism and postmodernism. The approach from physics and determinism moves towards one of the classic questions of philosophy, that of free will. The state of indecision is described as the act of making a decision, an act extended in time – eventually to infinity.

The reflection leads to the field of generative semiotics. Since the use of oracles to make decisions is also a peculiarity of humans, the distance that articulated language creates between reality and signs is proposed as a disruption that fosters the dichotomy of instinct and rationality. In this fracture nature assumes the form of the divine, whereas rationality is a procedural form. Technology, as an ultimate expression of this rational form, surpasses humans in procedural decision making capabilities, becoming a novel instrument to reach a divine union. Yet, early computing showed that, to halt a process resolving an undecidable problem, a machine has to receive an input of a different kind, an analog tape or an oracle as it were. The interaction with a different substance – the analogue sensor or a supernatural daemon – becomes the trigger to surpass a situation of impasse.

The question of uncertainty is then transduced into an art work that responds as an intervention in that interdisciplinary space, materialising an aesthetic form that draws on elements of the absurd and the aliatory in art, all re-interpreted in a do-it-yourself hacker fashion, creating a peculiar noise drama that has the effect of a symbolic ritual, or, ultimately, its destructive illusions.
Autonomous Agent-Based Electricity Trading in a Grid-Connected Microgrid
Creators: name: Manandhar, Grishma
Publisher: name: Washington State University
Year: 2023

description: The increased deployment of distributed energy technologies is transforming regular electricity consumers into active prosumers. This, along with advancements in Information and Communication Technology (ICT) devices, is setting the scene for a new paradigm where consumers can interact and trade their electricity with one another in community microgrids that are interconnected to the larger utility grid network. Local end-node microgid trading can make renewable energy more accessible in communities while also making better use of prosumer decentralized generation.Efficient community microgrids offer win-win possibilities for participants where prosumers can benefit from increased efficiency and gains from trade. At the same time, they enhance grid resiliency and reliability of local electricity delivery, potentially reducing the scope of large-scale power outages by providing isolated local power balancing capability, often refered to as islanding.
description: This research proposes a novel approach to community-based micro-grid trade. Our approach is based on a simultaneous clock auction that is augmented with a cost minimization algorithm to match buyers and sellers and clear the market. Several competition-enhancing design elements are included in our auction to support welfare gains obtained through competitive pricing. An important feature of our auction is that it captures behavioral aspects of prosumers that can be easily implemented through AI agents to facilitate real-time pricing. In this research, we present an AI agent capable of bidding on behalf of the customer ensuring invisible to minimal effect to the residents. The bids are based on thermodynamic adjustments that are made by the AI so that a small change in internal temperature made to optimize the economy-comfort balance in the current period can be readjusted in later periods thereby maintaining an overall forward-looking optimal balance for the present period. Our study demonstrates how our AI agent can find an optimal HVAC load by adjusting the thermostat set points in response to price changes while ensuring that the consumer's preferred set point is restored in the third time period. Additionally, the study further highlights how the AI agent and automated trading can reduce peak load while better utilizing the local renewable resources.
Additional file 1 of Positioning of enhanced monofocal intraocular lenses between conventional monofocal and extended depth of focus lenses: a scoping review
Creators: name: Fernández, Joaquín
name: Rocha-de-Lossada, Carlos
name: Zamorano-Martín, Francisco
name: Rodríguez-Calvo-de-Mora, Marina
name: Rodríguez-Vallejo, Manuel
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1.
Additional file 2 of Positioning of enhanced monofocal intraocular lenses between conventional monofocal and extended depth of focus lenses: a scoping review
Creators: name: Fernández, Joaquín
name: Rocha-de-Lossada, Carlos
name: Zamorano-Martín, Francisco
name: Rodríguez-Calvo-de-Mora, Marina
name: Rodríguez-Vallejo, Manuel
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 2.
Architecture-Aware Online Failure Prediction For Software Systems
Creators: name: Pitakrat, Teerat
Publisher: name: Zenodo
Year: 2018

description: Failures at runtime in complex software systems are inevitable because these systems usually contain a large number of components. Having all components working perfectly at the same time is, if at all possible, very difficult. Hardware components can fail and software components can still have hidden faults waiting to be triggered at runtime and cause the system to fail.

Existing online failure prediction approaches predict failures by observing the errors or the symptoms that indicate looming problems. This observable data is used to create models that can predict whether the system will transition into a failing state. However, these models usually represent the whole system as a monolith without considering their internal components.

This dissertation proposes an architecture-aware online failure prediction approach, called Hora. The Hora approach improves online failure prediction by combining the results of failure prediction with the architectural knowledge about the system. The task of failure prediction is split into predicting the failure of each individual component, in contrast to predicting the whole system failure. Suitable prediction techniques can be employed for different types of components. The architectural knowledge is used to deduct the dependencies between components which can reflect how a failure of one component can affect the others. The failure prediction and the component dependencies are combined into one model which employs Bayesian network theory to represent failure propagation. The combined model is continuously updated at runtime and makes predictions for individual components, as well as inferring their effects on other components and the whole system.

The evaluation of component failure prediction is performed on three different experiments. The predictors are applied to predict component failures in a microservice-based application, critical events in Blue Gene/L supercomputer, and computer hard drive failures. The results show that the failures of individual components can be accurately predicted. The evaluation of the whole Hora approach is carried out on a microservice-based application. The results show that the Hora approach, which combines component failure prediction and architectural knowledge, can predict the component failures, their effects on other parts of the system, and the failures of the whole service. The Hora approach outperforms the monolithic approach that does not consider architectural knowledge and can improve the area under the Receiver Operating Characteristic (ROC) curve by 9.9%.
Operability study with spatial resolved temperature and water molar concentration measurements of a new pressurised optical modular staged combustor
Creators: name: Giles, Anthony
name: Weller, Lee
name: Göktepe, Burak
name: Chaib, Oussama
name: Shah, Priyav
name: Williams, Benjamin AO
name: Crayford, Andrew
name: Pugh, Daniel
name: Hochgreb, Simone
Publisher: name: Apollo - University of Cambridge Repository
Year: 2025

description: A new optical modular staged combustor has been developed to facilitate the study of the staged combustion of alternative fuels, both liquid and gaseous, at elevated inlet pressures and temperatures. Initial testing to characterize the combustor was carried out at pressures of up to 6 bara, for both premixed and non-premixed methane/air swirling flames with a combustor inlet temperature of 450 K. Exhaust gas analysis together with OH* and CH* chemiluminescence was used to evaluate the operability of the combustor and the quenching effect of the secondary air flow for a range of primary and global equivalence ratios. Laser Induced Grating Spectroscopy (LIGS) was used to obtain instantaneous local temperatures of the mixture across the secondary air mixing zone. A previously developed analytic approach was used to extract temperature from the measured signal frequencies within the primary flame brush and secondary mixing region, where both burnt and unburnt gases were present. The development of such modular apparatus specifically to allow for the application of novel optical techniques, such as LIGS, enables the future evaluation of different combustor architectures for unconventional fuels. Additionally, this work further demonstrates the development of the LIGS technique for obtaining measurements within complex high-pressure, turbulent swirling flames.
Blockchain-Based Security Framework for the Internet of Things and Home Networks
Creators: name: Mendez Mena, Diego Miguel
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: System and network security

description: During recent years, attacks on Internet of Things (IoT) devices have grown significantly. Cyber criminals have been using compromised IoT machines to attack others, which include critical internet infrastructure systems. Latest attacks increase the urgency for the information security research community to develop new strategies and tools to safeguard vulnerable devices at any level. Millions of intelligent things are now part of home-based networks that are usually disregarded by solutions platforms, but not by malicious entities.
Therefore, the following document presents a comprehensive framework that aims to secure home-based networks, but also corporate and service provider ones. The proposed solution utilizes first-hand information from different actors from different levels to create a decentralized privacy-aware Cyber Threat Information (CTI) sharing network, capable of automate network responses by relying on the secure properties of the blockchain powered by the Ethereum algorithms.
Additional file 1 of Efficacy of intraosseous access for trauma resuscitation: a systematic review and meta-analysis
Creators: name: Wang, Dong
name: Deng, Lei
name: Zhang, Ruipeng
name: Zhou, Yiyue
name: Zeng, Jun
name: Jiang, Hua
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. The search strategy performed in the databases.
Supplemental Material, sj-docx-1-ptd-10.1177_08968608211039669 - Impact of assistance on peritonitis due to breach in aseptic procedure in diabetic patients: A cohort study with the RDPLF data
Creators: name: Béchade, Clémence
name: Lanot, Antoine
name: Guillouët, Sonia
name: Ficheux, Maxence
name: Boyer, Annabel
name: Lobbedez, Thierry
Publisher: name: SAGE Journals
Year: 2021
Subjects: Medicine

description: Supplemental Material, sj-docx-1-ptd-10.1177_08968608211039669 for Impact of assistance on peritonitis due to breach in aseptic procedure in diabetic patients: A cohort study with the RDPLF data by Clémence Béchade, Antoine Lanot, Sonia Guillouët, Maxence Ficheux, Annabel Boyer and Thierry Lobbedez in Peritoneal Dialysis International
VALUE-ADDED STRATEGIES IN THE SPECIALTY CROP INDUSTRY: EXPLORING FARMERS' DRIVERS AND STRATEGIES AT THE FARM LEVEL
Creators: name: Izaba, Orlando Francisco Rodriguez
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Agriculture, land and farm management not elsewhere classified
Farm management, rural management and agribusiness
Agricultural systems analysis and modelling
Horticultural crop growth and development

description: Value-added (VA) technologies can help farmers in the specialty crop industry generate new products, increase off-season income sources, expand market access, and improve overall profitability. These technologies can support the development of rural economies through the generation of new businesses and job creation. The USDA defines VA products as those 1) changed physical, 2) produced in a manner that enhances their value, and 3) physically segregated in a manner that results in enhancement of their value. Drawing from this definition, this study investigated VA technologies such as drying, cutting into customer-ready portions, washing and labeling specialty crops. The objectives of this study are threefold. First, we analyze how market access and diversification drive specialty crop farmers to adopt VA technologies. Second, we address the potential endogeneity between the adoption of VA technologies (vertical diversification) and the number of crops (horizontal diversification). Lastly, we investigate how market access drives farmers to utilize food labels for VA products. Data for this study came from a 2019 web-based survey of specialty crop farmers. A total of 766 farmers completed the survey, with a response rate of 21.5%. The questionnaire included questions related to farmer’s demographics (i.e., educational attainment, gender, farming experience), farm characteristics (i.e., crops, markets, and growing technologies), and farmers’ beliefs regarding their farm system. Results suggest that market access is a significant driver of VA technology adoption. Also, the size of the farm, networks, farmer’s perceptions, and employment growth influence adopting VA technologies. The results also show us that farmers adopting VA technologies tend to experience economic growth.
Optimizing Pragmatic Awareness and Production in ESL Learners: A Quasi-Experimental Research on the Effectiveness of Implicit Versus Explicit Instruction
Creators: name: Mahmooda Kousar
name: Riffat Anwar
name: Dr. Mohammed Elsawi Elsafi Ibrahim
name: Tahmina Begum
name: Dr. Nawal Musa Mohammed Abduallah
name: Muhammad Iqbal
Publisher: name: Zenodo
Year: 2025
Subjects: Implicit Instruction, Explicit Instruction, Pragmatic Awareness, Pragmatic Production.

description: Abstract

Understanding social interactions, deriving pertinent semantic clues, and deciphering the inferred meanings of expressions are all essential components of mastering a second language. These capabilities should be utilized with the foundational grammatical and strategic skills already acquired. Since the concept of pragmatics was only established forty years ago, teaching language is not as old as teaching grammar and other subjects (Chen, 2011). Unlike pragmatics, its teaching methods are still developing. Communication is the primary function of language (Locke, 1975, as referenced in Morris, 2007), and the interlocutors' face-threatening demeanour is avoided. Penelope (1987) discusses strategies that speakers deploy to foster appealing social interactions and prevent listeners from engaging in a way that could be construed as intimidating. Penelope's "Politeness Theory" (1987) served as the theoretical foundation for this investigation. Since pragmatic production may be better analysed using qualitative methods and pragmatic awareness growth can be better evaluated using quantitative methods, a mixed method approach has been employed to acquire true insight into the problem at hand. The objective of the study is to determine the most effective method of teaching pragmatics and how implicit and explicit instruction affect second language learners' pragmatic output and pragmatic understanding, which is imperative to enhancing communicative competence.
Supplemental Material, sj-pdf-2-jcn-10.1177_08830738211000977 - Acquisition of Developmental Milestones in Hypomyelination With Atrophy of the Basal Ganglia and Cerebellum and Other TUBB4A-Related Leukoencephalopathy
Creators: name: Gavazzi, Francesco
name: Charsar, Brittany A.
name: Williams, Catherine
name: Shults, Justine
name: Alves, Cesar A.
name: Adang, Laura
name: Vanderver, Adeline
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111403 Paediatrics
subject: Neuroscience

description: Supplemental Material, sj-pdf-2-jcn-10.1177_08830738211000977 for Acquisition of Developmental Milestones in Hypomyelination With Atrophy of the Basal Ganglia and Cerebellum and Other TUBB4A-Related Leukoencephalopathy by Francesco Gavazzi, Brittany A. Charsar, Catherine Williams, Justine Shults, Cesar A. Alves, Laura Adang and Adeline Vanderver in Journal of Child Neurology
sj-docx-1-epm-10.1177_00131644211045351 – Supplemental material for A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models
Creators: name: Nagy, Gabriel
name: Ulitzsch, Esther
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: Education
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-epm-10.1177_00131644211045351 for A Multilevel Mixture IRT Framework for Modeling Response Times as Predictors or Indicators of Response Engagement in IRT Models by Gabriel Nagy and Esther Ulitzsch in Educational and Psychological Measurement
Robust Universum Twin Support Vector Machine for Imbalanced Data
Creators: name: Tanveer, M.
name: Quadir, A.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: One of the major difficulties in machine learning methods is categorizing datasets that are imbalanced. This problem may lead to biased models, where the training process is dominated by the majority class, resulting in inadequate representation of the minority class. Universum twin support vector machine (UTSVM) produces a biased model towards the majority class, as a result, its performance on the minority class is often poor as it might be mistakenly classified as noise. Moreover, UTSVM is not proficient in handling datasets that contain outliers and noises. Inspired by the concept of incorporating prior information about the data and employing an intuitionistic fuzzy membership scheme, we propose intuitionistic fuzzy UTSVM for imbalanced data (IFUTSVM-ID) by enhancing overall robustness. We use an intuitionistic fuzzy membership scheme to mitigate the impact of noise and outliers. Moreover, to tackle the problem of imbalanced class distribution, data oversampling and undersampling methods are utilized. Prior knowledge about the data is provided by universum data. This leads to better generalization performance. UTSVM is susceptible to overfitting risks due to the omission of the structural risk minimization (SRM) principle in their primal formulations. However, the proposed IFUTSVM-ID model incorporates the SRM principle through the incorporation of regularization terms, effectively addressing the issue of overfitting. We conduct a comprehensive evaluation of the proposed IFUTSVM-ID model on benchmark datasets from KEEL and compare it with existing baseline models. Furthermore, to assess the effectiveness of the proposed IFUTSVM-ID model in diagnosing Alzheimer's disease (AD), we applied them to the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Experimental results showcase the superiority of the proposed IFUTSVM-ID models compared to the baseline models.
Additional file 1 of Histone deacetylases regulate organ-specific growth in a horned beetle
Creators: name: Hu, Yonggang
name: Crabtree, Jordan R.
name: Macagno, Anna L. M.
name: Moczek, Armin P.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Fig. S1. Phylogenetic analysis of HDAC orthologues. Fig. S2. HDAC3RNAi head horn phenotypes across the range of male body sizes. Table S1. Injection information for this study. Table S2. Effects of HDAC3 and HDAC4 knockdowns on trait sizes. Table S3. Effects of HDAC3 and HDAC4 knockdowns on pupal and adult head horns. Table S4. The primer information used in this study.
Exploring Multimodal Emotion Classification and Emotion-Cause Pair Extraction
Creators: name: Chandakacherla, Sharad
Publisher: name: University of Illinois Chicago
Year: 2025

description: Emotion Recognition in Conversation (ERC) has been extensively studied in recent years. A closely related emerging domain is Emotion Cause Analysis (ECA), commonly defined as the task of Emotion-Cause Pair Extraction (ECPE). Most studies in these fields have been grounded in the textual modality. As natural language exists in different modalities, SemEval-2024 introduced a shared task—Multimodal Emotion Cause Analysis in Conversations (Task #3)—to incorporate multimodal information into this area of research. The task comprises two sub-tasks: Subtask 1—Textual Emotion-Cause Pair Extraction in Conversations (TECPE), and Subtask 2—Multimodal Emotion-Cause Pair Extraction in Conversations (MECPE). All experiments in this work use the publicly available ECF 2.0 dataset (Emotion-Cause-in-Friends), which is derived from the widely used multimodal, multiparty dataset based on the TV show Friends. The central intent of this work is to use various attention-based correlation mechanisms to model both the TECPE and MECPE tasks. Using popular pre-trained language models (PLMs), thorough experimentations in the following areas are presented: (1) establishing mono-modal baselines for the ERC task on ECF 2.0; (2) exploring various multimodal fusion techniques, including late fusion, early fusion, self-attention, and cross-modal attention-based fusion; and (3) Multimodal causal span/utterance extraction. These experiments can further help in understanding data modeling, fusion techniques, and modality selection for such tasks. A two-step disjoint training process was employed for the first subtask, where both the models were fine-tuned pre-trained language models. The latter model employed the QA paradigm and ranked second based on the weighted average F1 score using strict span matching. Subtask 2 examined multimodal interaction and joint training in detail for the MECPE task. Despite using much smaller models, our results are comparable to those of other teams employing larger LLMs, highlighting the importance of adding conversational context and selecting specialized models to efficiently utilize resources.
Ultrafast laser-absorption spectroscopy in the mid-infrared for spatiotemporally resolved measurements of gas properties
Creators: name: Tancin, Ryan J
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Aerospace engineering not elsewhere classified

description: Laser-absorption spectroscopy (LAS) is widely used for providing non-intrusive and quantitative measurements of gas properties (such as temperature and absorbing species mole fraction) in combustion environments. However, challenges may arise from the line-of-sight nature of LAS diagnostics, which can limit their spatial resolution. Further, time-resolution of such techniques as scanned direct-absorption or wavelength-modulation spectroscopy is limited by the scanning speed of the laser and the optical bandwidth is often limited by a combination of a laser's intrinsic tunability and its scanning speed. The work presented in this dissertation investigated how recent advancements in mid-IR camera technology and lasers can be leveraged to expand the spatial, temporal, and spectral measurement capabilities of LAS diagnostics. Novel laser-absorption imaging and ultrafast laser-absorption spectroscopy diagnostics are presented in this dissertation. In addition, the high-pressure combustion chamber (HPCC) and high-pressure shock tube (HPST) were designed and built to enable the study of, among others, energetic material combustion, spectroscopy, non-equilibrium and chemistry using optical diagnostics.
Hamiltonian simulation with optimal sample complexity
Creators: name: Kimmel, Shelby
name: Lin, Cedric Yen-Yu
name: Low, Guang Hao
name: Ozols, Maris
name: Yoder, Theodore J.
Publisher: name: Digital Repository at the University of Maryland
Year: 2017

description: Funding for Open Access provided by the UMD Libraries Open Access Publishing Fund.
description: We investigate the sample complexity of Hamiltonian simulation: how many copies of an unknown quantum state are required to simulate a Hamiltonian encoded by the density matrix of that state? We show that the procedure proposed by Lloyd, Mohseni, and Rebentrost [Nat. Phys., 10(9):631–633, 2014] is optimal for this task. We further extend their method to the case of multiple input states, showing how to simulate any Hermitian polynomial of the states provided. As applications, we derive optimal algorithms for commutator simulation and orthogonality testing, and we give a protocol for creating a coherent superposition of pure states, when given sample access to those states. We also show that this sample-based Hamiltonian simulation can be used as the basis of a universal model of quantum computation that requires only partial swap operations and simple single-qubit states.