cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
THE ACHIEVEMENT MOTIVATION ENHANCEMENT MODEL: EVALUATING AN AFFECTIVE INTERVENTION TO RESOLVE UNDERACHIEVEMENT
Creators: name: Desmet, Ophelie
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Other education not elsewhere classified

description: This dissertation investigated an affective curriculum intervention’s effectiveness in resolvingunderachievement. The intervention was first implemented at a summer program with 20 studentsand four camp counselors. Inductive analysis of qualitative data indicated that most participantshad positive perceptions of the model. Descriptive analyses indicated the intervention had small,positive effects on students’ academic self-perceptions (MD = 0.122, SD = 0.621, d = 0.196) andattitudes toward teachers (MD = 0.139, SD = 0.848, d = 0.164) were found. There was no changein attitudes toward school (MD = 0.080, SD = 1.327, d = 0.060) and goal valuation (MD = 0, SD =0.721, d = 0) and a moderate, negative effect on self-regulation (MD = -0.620, SD = 1.346, d = -0.460). The intervention was then implemented in a middle school with one 12-year old girl whowas gifted and underachieving. An explanatory mixed methods design, combining a single-caseA-B design, an interrupted time series simulation, and inductive analysis, was used. The modelwas perceived as useful, mainly in increasing self-perceptions. Results showed a significantincrease in behavioral engagement (d = 1.224, p Academic self-perception (MD = 0.57) and attitudes toward school (MD = 1.00) improved,attitudes toward teachers showed no change, and goal valuation (MD = -0.67) and self-regulation(MD = -0.40) decreased. These two studies provide preliminary evidence for the effectiveness ofthe intervention.
Measuring Online Emotional Reactions to Events
Creators: name: Guo, Siyi
name: He, Zihao
name: Rao, Ashwin
name: Jang, Eugene
name: Nan, Yuanfeixue
name: Morstatter, Fred
name: Brantingham, Jeffrey
name: Lerman, Kristina
Publisher: name: arXiv
Year: 2023
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using this data to understand social behavior is difficult due heterogeneity of topics and events discussed in the highly dynamic online information environment. To address these challenges, we present a method for systematically detecting and measuring emotional reactions to offline events using change point detection on the time series of collective affect, and further explaining these reactions using a transformer-based topic model. We demonstrate the utility of the method on a corpus of tweets from a large US metropolitan area between January and August, 2020, covering a period of great social change. We demonstrate that our method is able to disaggregate topics to measure population's emotional and moral reactions. This capability allows for better monitoring of population's reactions during crises using online data.
description: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining. 2023
Mechanical modeling of the maturation process for tissue-engineered implants: application to biohybrid heart valves
Creators: name: Sesa, Mahmoud
name: Holthusen, Hagen
name: Lamm, Lukas
name: Böhm, Christian
name: Brepols, Tim
name: Jockenhövel, Stefan
name: Reese, Stefanie
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Computer and information sciences

description: The development of tissue-engineered cardiovascular implants can improve the lives of large segments of our society who suffer from cardiovascular diseases. Regenerative tissues are fabricated using a process called tissue maturation. Furthermore, it is highly challenging to produce cardiovascular regenerative implants with sufficient mechanical strength to withstand the loading conditions within the human body. Therefore, biohybrid implants for which the regenerative tissue is reinforced by standard reinforcement material (e.g. textile or 3d printed scaffold) can be an interesting solution. In silico models can significantly contribute to characterizing, designing, and optimizing biohybrid implants. The first step towards this goal is to develop a computational model for the maturation process of tissue-engineered implants. This paper focuses on the mechanical modeling of textile-reinforced tissue-engineered cardiovascular implants. First, we propose an energy-based approach to compute the collagen evolution during the maturation process. Then, we apply the concept of structural tensors to model the anisotropic behavior of the extracellular matrix and the textile scaffold. Next, the newly developed material model is embedded into a special solid-shell finite element formulation with reduced integration. Finally, we use our framework to compute two structural problems: a pressurized shell construct and a tubular-shaped heart valve. The results show the ability of the model to predict collagen growth in response to the boundary conditions applied during the maturation process. Consequently, we can predict the implant's mechanical response, such as the deformation and stresses of the implant.
description: Preprint submitted to Elsevier
sj-pdf-1-aor-10.1177_00034894211037187 – Supplemental material for Development of a Decision Aid for Parents Who Elect Tonsillectomy for Obstructive Sleep Apnea
Creators: name: Williamson, Adrian
name: Newby, Maxwell
name: Phillips, Drew
name: Carr, Michele
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110315 Otorhinolaryngology
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-1-aor-10.1177_00034894211037187 for Development of a Decision Aid for Parents Who Elect Tonsillectomy for Obstructive Sleep Apnea by Adrian Williamson, Maxwell Newby, Drew Phillips and Michele Carr in Annals of Otology, Rhinology & Laryngology
Impact of supplemental irrigation and organic manure on growth and yield performance of rice variety BRRI dhan103 under terminal drought condition in Aman season
Creators: name: Rahman, Md. Taufiqur
name: Hasan, Md. Abu
name: HASAN, MD. MAHFUZUL
name: Howlader, Nayan Chandra
name: Tusar, Md. Rahat Sazzad
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 300403
subject: Agronomy
classificationCode: 300412
subject: Organic and low chemical input crop production
classificationCode: 300410
subject: Crop and pasture waste water use
classificationCode: 300409
subject: Crop and pasture protection (incl. pests, diseases and weeds)

description: BRRI dhan103 is a transplanting Aman (T. Aman) rice variety that demands sufficient organic manure and supplemental irrigation to ensure successful production. Seven treatments, viz., T1= rainfed control; T2 = one supplemental irrigation at 80 days after transplanting (DAT); T3= two supplemental irrigations at 70 and 80 DAT; T4= additional 5 t ha-1 poultry compost under rainfed condition; T5= additional 10 t ha-1 poultry compost under rainfed condition; T6= additional 2.5 t ha-1 biochar under rainfed condition; and T7= additional 5 t ha-1 biochar under rainfed condition, were evaluated against BRRI dhan103 to assess the impact of supplemental irrigation and manuring under terminal drought conditions. It was revealed that supplemental irrigation and manuring significantly improved all growth parameters and yield attributes compared to the rainfed control. Notably, T5 treatment provided its greatest performance statistically in respect of SPAD value (36.13), root dry weight (12.43 g), number of tillers hill-1 (13.22), panicle length (28.87 cm), panicles hill-1 at harvest (9.13), total spikelet (194.53), spikelet panicle-1 (197.63), filled spikelet panicle-1 (197.63), thousand grain weight (33.78 g), grain weight panicle-1 (28.70 g), grain yield hill-1 (31.97 g), and above-ground biological yield (3043.35 g m-2). The highest tiller hill-1 at harvest (9.53) was achieved when an additional 10 t ha-1 of poultry compost was applied under rainfed conditions. This study suggested that additional 10 t ha-1 poultry compost under rainfed conditions performed best to enhance the growth and yield of BRRI dhan103.
Additional file 1 of Delays in Multiple Sclerosis diagnosis (DIMES): protocol for a multicentre, observational study of multiple sclerosis diagnostic pathways in the United Kingdom and Republic of Ireland
Creators: name: Kuri, Ashvin
name: Henshall, David E.
name: Chaudhry, Daoud
name: Ooi, Setthasorn Zhi Yang
name: Zhang, Qiqi
name: Mathews, Joela
name: Thomson, Alison
name: Rog, David
name: Hobart, Jeremy
name: Dobson, Ruth
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 1.
Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system
Creators: name: Asthana, Sumit
name: Hilleli, Sagih
name: He, Pengcheng
name: Halfaker, Aaron
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Meetings play a critical infrastructural role in coordinating work. The recent surge of hybrid and remote meetings in computer-mediated spaces has led to new problems (e.g., more time spent in less engaging meetings) and new opportunities (e.g., automated transcription/captioning and recap support). Advances in dialogue summarization offer the potential for improving post-meeting experiences, but fixed-length summaries often fail to meet diverse needs, such as quick overviews or detailed insights. To address these gaps, we use cognitive science and discourse theories to conceptualize two recap designs: important highlights and a structured, hierarchical minutes view, targeting complementary recap needs. We operationalize these representations into high-fidelity prototypes using dialogue summarization. Finally, we evaluate the representations' effectiveness with seven users in the context of their work meetings at Microsoft. Our results show both recap types are valuable in different contexts, enabling collaboration through discussions and consensus-building. Exploring the meaning of users adding, editing, and deleting from recaps suggests varying alignment for using these actions to improve AI-recap. Our design implications, such as incorporating organizational artifacts (e.g., linking presentations) in recaps and personalizing context, advance the discourse of effective recap designs for organizational work and support past results from cognition studies.
description: Accepted at CSCW 2024
Kick-Off Meeting Report
Creators: name: De Maldè, Mirko
name: Rizzo, Anna
Publisher: name: Zenodo
Year: 2017
Subjects: kick-off meeting
action items
planning

description: The present deliverable aims at reporting the outcome of the MHMD kick-off meeting, held on November 7th-8th 2016 in Rome, at the premises of the Project Coordinator (P1 - Lynkeus).

The meeting was focused on recalling the overall project goals and workplan as stated in the DoA, plus setting opening steps and assigning priorities to be addressed within the first months of activity.

Particularly, after a preliminary general overview, the first day and a half has been dedicated to illustrating objectives and key challenges of each work package to the whole audience, through dedicated presentations by each WP leader, thus explaining the proposed methodology and timeframe to fulfil the WP goals. By contrast, the remaining part of the second day has been run as open discussions on three multidisciplinary topics, subdivided into a corresponding number of working groups composed by representatives of each of the partners involved, and dedicated to deal with open issues, define priorities and the action plan to be followed within the coming months.

The following sections recapitulate meeting contents, including agenda, WP overview, working group minutes summarizing discussion topics and action items, conclusive remarks and upcoming steps, and the complete list of attending consortium members.
description: This corresponds to the Deliverable 11.1 (D11.1) of the MHMD project.
Strategic Decision-Making in Multi-Agent Domains: A Weighted Constrained Potential Dynamic Game Approach
Creators: name: Bhatt, Maulik
name: Jia, Yixuan
name: Mehr, Negar
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: In interactive multi-agent settings, decision-making and planning are challenging mainly due to the agents' interconnected objectives. Dynamic game theory offers a formal framework for analyzing such intricacies. Yet, solving constrained dynamic games and determining the interaction outcome in the form of generalized Nash Equilibria (GNE) pose computational challenges due to the need for solving constrained coupled optimal control problems. In this paper, we address this challenge by proposing to leverage the special structure of many real-world multi-agent interactions. More specifically, our key idea is to leverage constrained dynamic potential games, which are games for which GNE can be found by solving a single constrained optimal control problem associated with minimizing the potential function. We argue that constrained dynamic potential games can effectively facilitate interactive decision-making in many multi-agent interactions. We will identify structures in realistic multi-agent interactive scenarios that can be transformed into weighted constrained potential dynamic games (WCPDGs). We will show that the GNE of the resulting WCPDG can be obtained by solving a single constrained optimal control problem. We will demonstrate the effectiveness of the proposed method through various simulation studies and show that we achieve significant improvements in solve time compared to state-of-the-art game solvers. We further provide experimental validation of our proposed method in a navigation setup involving two quadrotors carrying a rigid object while avoiding collisions with two humans.
description: in IEEE Transactions on Robotics 2025
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert
Creators: name: Cory-Wright, Ryan
name: Cornelio, Cristina
name: Dash, Sanjeeb
name: Khadir, Bachir El
name: Horesh, Lior
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Symbolic Computation (cs.SC)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by manipulating equations based on existing knowledge, forming new equations, and verifying them experimentally. In recent years, data-driven scientific discovery has emerged as a viable competitor in settings with large amounts of experimental data. Unfortunately, data-driven methods often fail to discover valid laws when data is noisy or scarce. Accordingly, recent works combine regression and reasoning to eliminate formulae inconsistent with background theory. However, the problem of searching over the space of formulae consistent with background theory to find one that best fits the data is not well-solved. We propose a solution to this problem when all axioms and scientific laws are expressible via polynomial equalities and inequalities and argue that our approach is widely applicable. We model notions of minimal complexity using binary variables and logical constraints, solve polynomial optimization problems via mixed-integer linear or semidefinite optimization, and prove the validity of our scientific discoveries in a principled manner using Positivstellensatz certificates. The optimization techniques leveraged in this paper allow our approach to run in polynomial time with fully correct background theory under an assumption that the complexity of our derivation is bounded), or non-deterministic polynomial (NP) time with partially correct background theory. We demonstrate that some famous scientific laws, including Kepler's Third Law of Planetary Motion, the Hagen-Poiseuille Equation, and the Radiated Gravitational Wave Power equation, can be derived in a principled manner from axioms and experimental data.
description: Revised version, including a significant number of new experiments+supplementary material in appendix, and a title change
Digital-analog quantum computing of fermion-boson models in superconducting circuits
Creators: name: Kumar, Shubham
name: Hegade, Narendra N.
name: Visuri, Anne-Maria
name: Bhargava, B. A.
name: Hernandez, Juan F. R.
name: Solano, Enrique
name: Albarrán-Arriagada, Francisco
name: Barrios, Gabriel Alvarado
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: High-fidelity quantum simulations demand hardware-software co-design architectures, which are crucial for adapting to complex problems such as strongly correlated dynamics in condensed matter. By leveraging co-design strategies, we can enhance the performance of state-of-the-art quantum devices in the noisy intermediate quantum (NISQ) and early error-correction regimes. In this direction, we propose a digital-analog quantum algorithm for simulating the Hubbard-Holstein model, describing strongly-correlated fermion-boson interactions, in a suitable architecture with superconducting circuits. It comprises a linear chain of qubits connected by resonators, emulating electron-electron (e-e) and electron-phonon (e-p) interactions, as well as fermion tunneling. Our approach is adequate for digital-analog quantum computing (DAQC) of fermion-boson models, including those described by the Hubbard-Holstein model. We show the reduction in the circuit depth of the DAQC algorithm, a sequence of digital steps and analog blocks, outperforming the purely digital approach. We exemplify the quantum simulation of a half-filled two-site Hubbard-Holstein model. In this example, we obtain time-dependent state fidelities larger than 0.98, showing that our proposal is suitable for studying the dynamical behavior of solid-state systems. Our proposal opens the door to computing complex systems for chemistry, materials, and high-energy physics.
description: 6+5 Pages, 5+2 Figures, 1 Table
sj-docx-1-asm-10.1177_10731911211036746 – Supplemental material for Differential Item Functioning in the WHODAS 2.0 Scale in Schizophrenia: An Application of the Rasch Trees Method Based on Demographic and Clinical Covariates
Creators: name: Berrío, Ángela I.
name: Gómez-Benito, Juana
name: Guilera, Georgina
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-asm-10.1177_10731911211036746 for Differential Item Functioning in the WHODAS 2.0 Scale in Schizophrenia: An Application of the Rasch Trees Method Based on Demographic and Clinical Covariates by Ángela I. Berrío, Juana Gómez-Benito and Georgina Guilera in Assessment
Proof of the Einstein quadrupole formula for solutions of the Einstein-Vlasov system close to Minkowski spacetime
Creators: name: Amorim, Érik
name: Andréasson, Håkan
name: Kunze, Markus
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We rigorously derive the quadrupole formula within the context of the Einstein-Vlasov system. The main contribution of this work is an estimate of the remainder terms, derived from well-defined assumptions, with explicitly stated error terms that depend on the solution's boundedness and decay properties, and the distance to the source. The assumptions are linked to established properties of global solutions of the Einstein-Vlasov system as in \cite{LT}. Prior derivations of the quadrupole formula have relied on post-Newtonian analysis and lacked comparisons with global solution properties. The importance of the no-incoming-radiation condition is emphasized underscoring the need for solutions satisfying this condition. This work thus addresses the limitations of existing results and provides motivation for further research on global solution properties of the Einstein-Vlasov system.
description: 92 pages. To appear in Dissertationes Mathematicae
Supplemental Material, sj-pdf-1-her-10.1177_1937586720979832 - Built Environment Airborne Infection Control Strategies in Pandemic Alternative Care Sites
Creators: name: Gordon, David
name: Ward, Jane
name: Yao, Christopher J.
name: Lee, Joyce
Publisher: name: SAGE Journals
Year: 2021
Subjects: Medicine
Public Health and Health Services not elsewhere classified

description: Supplemental Material, sj-pdf-1-her-10.1177_1937586720979832 for Built Environment Airborne Infection Control Strategies in Pandemic Alternative Care Sites by David Gordon, Jane Ward, Christopher J. Yao and Joyce Lee in HERD: Health Environments Research & Design Journal
Long-term Subsurface Drainage Effects on Soil Physical and Hydraulic Properties
Creators: name: Welage, Daniel T
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Agricultural hydrology
Agronomy

description: Subsurface tile drainage is a common management practice implemented by farmers throughout the Midwest in fields that have poorly drained soils. Tile drainage has several benefits including increased productivity, reduced erosion, and increased trafficability. However, relatively little is known about the long-term change of soil properties that may occur as a result of subsurface drainage. Careful monitoring of tile drains at the long-term experimental site at the Southeast Purdue Agricultural Center led to the observation of faster drain flow than in the past, with hydrographs of the flow showing flashier peaks, suggesting that more preferential flow paths have developed over time. The overall goal of this study was to characterize possible evolution of physical and hydraulic properties of this silt loam soil after 35 years of subsurface drainage. Bulk density and water retention were measured in May of 2018 at 0-5 cm, 5-15 cm, and 15-30 cm in all plots and again in July of 2019 in the 5 m and 40 m spacings at four different horizons down to depths of approximately 100 cm, rather than set depth increments. Bulk density results from both sets of sampling show the 5 m spacing to have a significantly lower bulk density than the 40 m spacing in the top 30 cm of soil, although the difference was small. Differences in water retention among treatments were too small to be physically meaningful. Saturated hydraulic conductivity results measured by three different methods were highly variable and no differences were detected. In soils with naturally weak structure, low organic matter, and low clay content, like the soil in this study, the processes responsible for soil aggregation, structure stabilization, and lowering bulk density are inherently slow and may require longer than 35 years of subsurface drainage to produce significant changes in the physical properties measured.
S-QGPU: Shared Quantum Gate Processing Unit for Distributed Quantum Computing
Creators: name: Du, Shengwang
name: Ding, Yufei
name: Qiao, Chunming
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose a distributed quantum computing (DQC) architecture in which individual small-sized quantum computers are connected to a shared quantum gate processing unit (S-QGPU). The S-QGPU comprises a collection of hybrid two-qubit gate modules for remote gate operations. In contrast to conventional DQC systems, where each quantum computer is equipped with dedicated communication qubits, S-QGPU effectively pools the resources (e.g., the communication qubits) together for remote gate operations, and thus significantly reduces the cost of not only the local quantum computers but also the overall distributed system. Our preliminary analysis and simulation show that S-QGPU's shared resources for remote gate operations enable efficient resource utilization. When not all computing qubits (also called data qubits) in the system require simultaneous remote gate operations, S-QGPU-based DQC architecture demands fewer communication qubits, further decreasing the overall cost. Alternatively, with the same number of communication qubits, it can support a larger number of simultaneous remote gate operations more efficiently, especially when these operations occur in a burst mode.
description: 8 pages, 6 figures
Additional file 1 of Bacillus subtilis SOM8 isolated from sesame oil meal for potential probiotic application in inhibiting human enteropathogens
Creators: name: Zhao, Zhongtian
name: Li, Wenrui
name: Tran, The Thien
name: Loo, Say Chye Joachim
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Cancer

description: Supplementary Material 1.
Modeling and Detecting Orbit Observation Errors Using Statistical Methods
Creators: name: Jang, Christopher Y
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Aerospace engineering not elsewhere classified

description: In the globally collaborative effort of maintaining an accurate space catalog, it is of utmost importance for ground tracking stations to provide observations which can be used to update and improve the catalog. However, each tracking station is responsible for viewing thousands of objects in a limited window of time. Limitations in sensor capabilities, human error, and other circumstances inevitably result in erroneous, or unusable, data, but when receiving information from a tracking station, it may be difficult for the end-user to determine a data set's usability. Variables in equipment, environment, and processing create uncertainties when computing the positions and orbits of the satellites. Firstly, this research provides a reference frame for what degrees of errors or biases in equipment translate to different levels of orbital errors after a least squares orbit determination. Secondly, using just an incoming data set's angle error distribution compared to the newly determined orbit, statistical distribution testing is used to determine the validity and usability of the newly received data set. In the context of orbit position uncertainty, users are then able to communicate and relay the uncertainties in the data they share while assessing incoming data for potential sources of error.
Developing Artificial Intelligence-Based Decision Support for Resilient Socio-Technical Systems
Creators: name: Lenjani, Ali
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Mechanical engineering not elsewhere classified

description: During 2017 and 2018, two of the costliest years on record regarding natural disasters, the U.S. experienced 30 events with total losses of $400 billion. These exuberant costs arise primarily from the lack of adequate planning spanning the breadth from pre-event preparedness to post-event response. It is imperative to start thinking about ways to make our built environment more resilient. However, empirically-calibrated and structure-specific vulnerability models, a critical input required to formulate decision-making problems, are not currently available. Here, the research objective is to improve the resilience of the built environment through an automated vision-based system that generates actionable information in the form of probabilistic pre-event prediction and post-event assessment of damage. The central hypothesis is that pre-event, e.g., street view images, along with the post-event image database, contain sufficient information to construct pre-event probabilistic vulnerability models for assets in the built environment. The rationale for this research stems from the fact that probabilistic damage prediction is the most critical input for formulating the decision-making problems under uncertainty targeting the mitigation, preparedness, response, and recovery efforts. The following tasks are completed towards the goal.First, planning for one of the bottleneck processes of the post-event recovery is formulated as a decision making problem considering the consequences imposed on the community (module 1). Second, a technique is developed to automate the process of extracting multiple street-view images of a given built asset, thereby creating a dataset that illustrates its pre-event state (module 2). Third, a system is developed that automatically characterizes the pre-event state of the built asset and quantifies the probability that it is damaged by fusing information from deep neural network (DNN) classifiers acting on pre-event and post-event images (module 3). To complete the work, a methodology is developed to enable associating each asset of the built environment with a structural probabilistic vulnerability model by correlating the pre-event structure characterization to the post-event damage state (module 4). The method is demonstrated and validated using field data collected from recent hurricanes within the US.The vision of this research is to enable the automatic extraction of information about exposure and risk to enable smarter and more resilient communities around the world.
Polar form of Dirac fields: implementing symmetries via Lie derivative
Creators: name: Fabbri, Luca
name: Vignolo, Stefano
name: Cianci, Roberto
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We consider the Lie derivative along Killing vector fields of the Dirac relativistic spinors: by using the polar decomposition we acquire the mean to study the implementation of symmetries on Dirac fields. Specifically, we will become able to examine under what conditions it is equivalent to impose a symmetry upon a spinor or only upon its observables. For one physical application, we discuss the role of the above analysis for the specific spherical symmetry, obtaining some no-go theorem regarding spinors and discussing the generality of our approach.
description: 10 pages
Additional file 9 of Vaginal and neonatal microbiota in pregnant women with preterm premature rupture of membranes and consecutive early onset neonatal sepsis
Creators: name: dos Anjos Borges, Luiz Gustavo
name: Pastuschek, Jana
name: Heimann, Yvonne
name: Dawczynski, Kristin
name: Schleußner, Ekkehard
name: Pieper, Dietmar H.
name: Zöllkau, Janine
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biotechnology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 9: Fig. S2. Microbial composition of vaginal samples of PPROM patients before delivery (V2). Heatmap includes taxa with a relative abundance > 10% in at least one sample. Samples where a single taxon shows a relative abundance > 50% of relative abundance are indicated by a specific color code (dominance group). Hierarchical cluster based on Bray-Curtis similarity analysis of vaginal bacterial communities of V2 samples (n=63).
HAL 9000: a Risk Manager for ITSs
Creators: name: Freitas, Tadeu
name: Novo, Carlos
name: Soares, Joao
name: Dutra, Ines
name: Correia, Manuel E.
name: Shariati, Behnam
name: Martins, Rolando
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: Operating Systems (cs.OS)
subject: FOS: Computer and information sciences

description: HAL 9000 is an Intrusion Tolerant Systems (ITSs) Risk Manager, which assesses configuration risks against potential intrusions. It utilizes gathered threat knowledge and remains operational, even in the absence of updated information. Based on its advice, the ITSs can dynamically and proactively adapt to recent threats to minimize and mitigate future intrusions from malicious adversaries. Our goal is to reduce the risk linked to the exploitation of recently uncovered vulnerabilities that have not been classified and/or do not have a script to reproduce the exploit, considering the potential that they may have already been exploited as zero-day exploits. Our experiments demonstrate that the proposed solution can effectively learn and replicate National Vulnerability Database's evaluation process with 99% accuracy.
description: 10 pages, 4 figures
Cislunar Satellite Constellation Design Via Integer Linear Programming
Creators: name: Patel, Malav
name: Shimane, Yuri
name: Lee, Hang Woon
name: Ho, Koki
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Cislunar space awareness is of increasing interest to the international community as Earth-Moon traffic is projected to increase. This raises the problem of placing satellites optimally in a constellation to provide satisfactory coverage for said traffic. The Circular Restricted 3 Body Problem (CR3BP) provides promising periodic orbits in the Earth-Moon rotating frame for traffic monitoring. This work converts a spatially and temporally varying traffic coverage requirement into an integer linear programming problem, attempting to minimize the number of satellites required for the requested coverage.
description: 18 pages, 15 figures, submitted to 2023 AAS Conference
AXONAL OUTGROWTH AND PATHFINDING OF HUMAN PLURIPOTENT STEM CELL-DERIVED RETINAL GANGLION CELLS
Creators: name: Fligor, Clarisse Marie
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Biochemistry and cell biology not elsewhere classified
Cell development, proliferation and death
Cellular interactions (incl. adhesion, matrix, cell wall)
Evolution of developmental systems

description: Retinal ganglion cells (RGCs) serve as a vital connection between the eye and the brain with damage to their axons resulting in loss of vision and/or blindness. Retinal organoids are three-dimensional structures derived from human pluripotent stem cells (hPSCs) which recapitulate the spatial and temporal differentiation of the retina, providing a valuable model of RGC development in vitro. The working hypothesis of these studies is that hPSC-derived RGCs are capable of extensive outgrowth and display target specificity and pathfinding abilities. Initial efforts focused on characterizing RGC differentiation throughout early stages of organoid development, with a clearly defined RGC layer developing in a temporally-appropriate manner expressing a compliment of RGC-associated markers. Beyond studies of RGC development, retinal organoids may also prove useful to investigate and model the extensive axonal outgrowth necessary to reach post-synaptic targets. As such, additional efforts aimed to elucidate factors promoting axonal outgrowth. Results demonstrated significant enhancement of axonal outgrowth through modulation of both substrate composition and growth factor signaling. Furthermore, RGCs possessed guidance receptors that are essential in influencing outgrowth and pathfinding. Subsequently, to determine target specificity, aggregates of hPSC-derived RGCs were co-cultured with explants of mouse lateral geniculate nucleus (LGN), the primary post-synaptic target of RGCs. Axonal outgrowth was enhanced in the presence of LGN, and RGCs displayed recognition of appropriate targets, with the longest neurites projecting towards LGN explants compared to control explants or RGCs grown alone. Generated from the fusion of regionally-patterned organoids, assembloids model projections between distinct regions of the nervous system. Therefore, final efforts of these studies focused upon the generation of retinocortical assembloids in order to model the long-distance outgrowth characteristic of RGCs. RGCs displayed extensive axonal outgrowth into cortical organoids, with the ability to respond to environmental cues. Collectively, these results establish retinal organoids as a valuable tool for studies of RGC development, and demonstrate the utility of organoid-derived RGCs as an effective platform to study factors influencing outgrowth as well as modeling long-distance projections and pathfinding abilities.
Additional file 1 of Response mechanism of soil microorganisms to simulated precipitation in the source wetland of Qinghai Lake
Creators: name: Wang, Xinye
name: Zhang, Ni
name: Chen, Kelong
name: Chen, Tiexi
name: Qi, Desheng
name: Ma, Yuanxi
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Supplementary Material 1: Plot layout for rain increase and decrease treatment. Figure S2. Correlations between microorganisms and metabolites
Model-based aberration corrected microscopy inside a glass tube
Creators: name: Cox, D. W. S.
name: Knop, T.
name: Vellekoop, I. M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Microscope objectives achieve near diffraction-limited performance only when used under the conditions they are designed for. In non-standard geometries, such as thick cover slips or curved surfaces, severe aberrations arise, inevitably impairing high-resolution imaging. Correcting such large aberrations using standard adaptive optics can be challenging: existing solutions are either not suited for strong aberrations, or require extensive feedback measurements, consequently taking a significant portion of the photon budget. We demonstrate that it is possible to pre-compute the corrections needed for high-resolution imaging inside a glass tube based on a priori information only. Our ray-tracing based method achieved over an order of magnitude increase in image contrast without the need for a feedback signal.
description: 9 pages, 3 figures, 1 table. Submitted to Optics Express
The Circus of Self A Mozi Jones Production
Creators: name: Jones, Emily
Publisher: name: Washington State University
Year: 2024
Subjects: Installation
Performance
Sculpture

description: The Circus of Self is an invitation, a ticket to a land of experience and self-awareness through my lens of creation. Here you may wander through the carnival and choose your own adventure, explore the attractions one by one and enter into reflection, or step into the perspective of the carnival’s cast of characters and see the world through their eyes. This place is for investigation, introspection, and interaction. My role as artist is the Master of Ceremonies, the Ringmaster that beckons the audience further into intrigue with announcements of what wonders lay around the room. I am a veritable Willy Wonka taking you on a journey through my changeable whimsy and eclectic tendencies. While the pieces are all inspired by my life and mind, they are ultimately just the catalysts that allow the viewer to see themselves in new ways. By asking the viewer to activate the pieces, I am creating an experience that breaks the tradition of the white cube and relies on the audience to make the work come to life.
TransURL: Improving malicious URL detection with multi-layer Transformer encoding and multi-scale pyramid features
Creators: name: Liu, Ruitong
name: Wang, Yanbin
name: Guo, Zhenhao
name: Xu, Haitao
name: Qin, Zhan
name: Ma, Wenrui
name: Zhang, Fan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Machine learning progress is advancing the detection of malicious URLs. However, advanced Transformers applied to URLs face difficulties in extracting local information, character-level details, and structural relationships. To address these challenges, we propose a novel approach for malicious URL detection, named TransURL. This method is implemented by co-training the character-aware Transformer with three feature modules: Multi-Layer Encoding, Multi-Scale Feature Learning, and Spatial Pyramid Attention. This specialized Transformer enables TransURL to extract embeddings with character-level information from URL token sequences, with the three modules aiding the fusion of multi-layer Transformer encodings and the capture of multi-scale local details and structural relationships. The proposed method is evaluated across several challenging scenarios, including class imbalance learning, multi-classification, cross-dataset testing, and adversarial sample attacks. Experimental results demonstrate a significant improvement compared to previous methods. For instance, it achieved a peak F1-score improvement of 40% in class-imbalanced scenarios and surpassed the best baseline by 14.13% in accuracy for adversarial attack scenarios. Additionally, a case study demonstrated that our method accurately identified all 30 active malicious web pages, whereas two previous state-of-the-art methods missed 4 and 7 malicious web pages, respectively. The codes and data are available at: https://github.com/Vul-det/TransURL/.
description: 19 pages, 7 figures
Perceptual Dimensions of Physical Properties of Handheld Objects Induced by Impedance Changes
Creators: name: Hashimoto, Takeru
name: Yoshida, Shigeo
name: Narumi, Takuji
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Haptics in virtual reality is the emerging dimension after audiovisual experiences. Researchers designed several handheld VR controllers to simulate haptic experiences in virtual reality environments. Some of these devices, equipped to deliver active force, can dynamically alter the timing and intensity of force feedback, potentially offering a wide array of haptic sensations. Past research primarily used a single index to evaluate how users perceive physical property parameters, potentially limiting the assessment to the designer's intended scope and neglecting other potential perceptual experiences.
 Therefore, this study evaluates not how much but how humans feel a physical property when stimuli are changed. We conducted interviews to investigate how people feel when a haptic device changes motion impedance. We used thematic analysis to abstract the results of the interviews and gain an understanding of how humans attribute force feedback to a phenomenon. We also generated a vocabulary from the themes obtained from the interviews and asked users to evaluate force feedback using the semantic difference method. A factor analysis was used to investigate how changing the basic elements of motion, such as inertia, viscosity, and stiffness of the motion system, affects haptic perception. As a result, we obtained four critical factors: size, viscosity, weight, and flexibility factor, and clarified the correspondence between these factors and the change of impedance.
description: The final version of this paper has been published in IEEE Access: https://doi.org/10.1109/ACCESS.2025.3553042
Additional file 15 of Vaginal and neonatal microbiota in pregnant women with preterm premature rupture of membranes and consecutive early onset neonatal sepsis
Creators: name: dos Anjos Borges, Luiz Gustavo
name: Pastuschek, Jana
name: Heimann, Yvonne
name: Dawczynski, Kristin
name: Schleußner, Ekkehard
name: Pieper, Dietmar H.
name: Zöllkau, Janine
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biotechnology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 15: Fig. S5. Differences in vaginal global bacterial community structures based on standardized species abundance data. Non-metric multidimensional scaling (nMDS) plot with superimposed bubbles representing the relative abundance (in %) of (a) Escherichia/Shigella or (b) Anaerococcus obesiensis. Red color shows EONS (E), and gray/black color shows non-EONS (N) cases.
Real-time correlators in 3+1D thermal lattice gauge theory
Creators: name: Boguslavski, Kirill
name: Hotzy, Paul
name: Müller, David I.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: Other Condensed Matter (cond-mat.other)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We present the first direct ab-initio computation of unequal-time correlation functions in non-Abelian lattice gauge theory. We demonstrate non-trivial consistency relations among correlators, time-translation invariance, and agreement with Monte-Carlo results for thermal equilibrium in 3+1 dimensions by employing our stabilized complex Langevin method. Our work sets the stage to extract real-time observables, relevant to quark-gluon plasma physics within a first-principles real-time framework.
description: 8 pages, 10 figures; v2: published version
title: Enhancing the adoption of temperature monitoring technologies: the case study of selected Australian vegetable supply chains
Creators: name: Habib, Habib
Publisher: name: University of Southern Queensland
Year: 2023
Subjects: vegetable supply chains; temperature monitoring technologies; technology adoption behaviours; sustainable agriculture

description: The study seeks to understand the behavioural aspects influencing the adoption of temperature monitoring technologies (TMTs) among vegetable supply chain members in Australia. It contributes to current theory and practice and provides policy level inputs for enhancing uptake of TMTs to reduce fresh produce spoilage and sustain its nutritious value. The study utilised multi-theoretical frameworks through a combination of five seminal and modern theories of technology adoption. The tailor-made conceptual framework for the study focused on the current status of TMTs adoption, factors influencing its uptake and interventions to enhance its acceptance by members of vegetable supply chains. Three representative cases were purposively selected for the study that included growers, packers, transporters, distribution centres along with technology providers and industry experts. Data was collected through semi-structured interviews from 19 members of vegetable supply chains as well as three technology providers and three industry experts. Data was analyzed utilizing thematic analysis. Findings show that members of vegetable supply chains perceive temperature management as one of the key factors for preserving quality and extending shelf life of their produce; however, they did not proactively seek to utilise TMTs in their current operations. Resistance to adoption is deeply rooted in product-based issues (cost and compatibility of existing TMTs), and process-based factors (information sharing and product mixing). The presence of an individual’s undesirable behavioural aspects (status quo bias, responsibility shirking) and overall social norms of the industry influence the adoption of TMTs. The study recommends five core actions for enhancing the uptake of TMTs along different echelons of vegetable supply chains highlighting dominant role of supermarkets, technology providers and government entities.