cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Compactness, existence, and partial regularity in hydrodynamics of liquid crystals
Creators: name: Du, Hengrong
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Partial differential equations

description: This thesis mainly focuses on the PDE theories that arise from the study of hydrodynamics of nematic liquid crystals.
In Chapter 1, we give a brief introduction of the Ericksen--Leslie director theory and Beris--Edwards Q-tensor theory to the PDE modeling of dynamic continuum description of nematic liquid crystals. In the isothermal case, we derive the simplified Ericksen--Leslie equations with general targets via the energy variation approach. Following this, we introduce a simplified, non-isothermal Ericksen--Leslie system and justify its thermodynamic consistency.
In Chapter 2, we study the weak compactness property of solutions to the Ginzburg--Landau approximation of the simplified Ericksen--Leslie system. In 2-D, we apply the Pohozaev type argument to show a kind of concentration cancellation occurs in the weak sequence of Ginzburg--Landau system. Furthermore, we establish the same compactness for non-isothermal equations with approximated director fields staying on the upper semi-sphere in 3-D. These compactness results imply the global existence of weak solutions to the limit equations as the small parameter tends to zero.
In Chapter 3, we establish the global existence of a suitable weak solution to the co-rotational Beris–Edwards system for both the Landau–De Gennes and Ball–Majumdar bulk potentials in 3-D, and then study its partial regularity by proving that the 1-D parabolic Hausdorff measure of the singular set is 0.
In Chapter 4, motivated by the study of un-corotational Beris--Edwards system, we construct a suitable weak solution to the full Ericksen--Leslie system with Ginzburg--Landau potential in 3-D, and we show it enjoys a (slightly weaker) partial regularity, which asserts that it is smooth away from a closed set of parabolic Hausdorff dimension at most 15/7.
Investigating Cyber Performance: An Individual Differences Study
Creators: name: Cole, Kelly Anne
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Human-computer interaction

description: The persistent issues that have been identified in the cyber defense domain, such as information-overload, burn-out and high turn-over rates among cyber analysts leads us to question what the cognitive ability contribution is to a more successful cyber performance. Cyber defense researchers theorize that individual differences are determinants of cyber performance success but have yet to establish empirically the role of individual differences. Therefore, the study uses an individual differences approach under a work performance framework to study the contributions of cognitive ability (i.e., attention control) on cyber performance success in a specific cyber work-role (i.e., the Incident Reponder), and through its well-defined primary task (i.e., incident detection system performance). The sample included actual network analysts with a wide range of incident detection expertise, age, and education levels for more reliable and valid scores. The results of the correlational analysis showed that individual differences in attention control (i.e., flexibility and spatial attention) contribute most to the differences in Incident Responder work-performance. A linear regression model then demonstrated that spatial attention and flexibility predict 53 to 60 percent of the variance in cyber performance scores. It is suggested that the KSA's from the NICE framework be updated with the cognitive abilities that contribute to and/or predict cyber performance success, for superior recruitment efforts towards a more efficient cyber defense work-force.
Indium Phosphide Photonic Integrated Circuit Testing
Creators: name: McKinzie, Keith A
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Electrical engineering not elsewhere classified

description: Here I report work done to develop an integrated amplitude and phase shaped optical frequency comb as a source for RF photonic signal processing. The first published section of work pushed towards integrated comb generation; in this work, InP devices were provided by Infinera corp., and SiN devices fabricated by professor Minghao Qi’s group. In this work a monolithic InP-based photonic integrated circuit (PIC) consisting of a widely tunable laser master oscillator feeding an array of integrated semiconductor optical amplifiers that are interferometrically combined on-chip in a single-mode waveguide is shown. We demonstrate a stable and efficient on-chip coherent beam combination and obtain up to 240 mW average power from the monolithic PIC, with 30–50 kHz Schawlow-Townes linewidths and >180 mW average power across the extended C-band. We also explored hybrid integration of the InP-based laser and amplifier array PIC with a high quality factor silicon nitride microring resonator. We observe lasing based on gain from the interferometrically combined amplifier array in an external cavity formed via feedback from the silicon nitride microresonator chip; this configuration results in narrowing of the Schawlow-Townes linewidth to 􀀀3 kHz with 37.9 mW average power at the SiN output facet. The pulse shaping was achieved using an InP ultrafast optical pulse shaper fabricated by Infinera corporation. In this work we report characterization of a 48 channel InP shaper at 50 GHz channel spacing, provisioned with both channel-by-channel phase adjusters and SOA gain elements. To our knowledge this constitutes the first demonstration of an operable integrated InP pulse shaper with independent intensity and phase control.
Additional file 1 of Effects of health educational and participatory consumer group interventions in improving food handling practices in regional director of health services area Kalutara, Sri Lanka: non-randomized controlled community trial
Creators: name: Hirimuthugoda, Lasantha Krishan
name: De Silva, Padmal
name: Abeykoon, Palitha
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Supplementary Material 1.
Supplemental Material, sj-docx-1-ojs-10.1177_23259671211020283 - Risk Factors for Injuries in Runners: A Systematic Review of Foot Strike Technique and Its Classification at Impact
Creators: name: Burke, Aoife
name: Dillon, Sarah
name: O’Connor, Siobhán
name: Whyte, Enda F.
name: Gore, Shane
name: Moran, Kieran A.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: FOS: Health sciences

description: Supplemental Material, sj-docx-1-ojs-10.1177_23259671211020283 for Risk Factors for Injuries in Runners: A Systematic Review of Foot Strike Technique and Its Classification at Impact by Aoife Burke, Sarah Dillon, Siobhán O’Connor, Enda F. Whyte, Shane Gore and Kieran A. Moran in Orthopaedic Journal of Sports Medicine
AI on the Edge with CondenseNeXt: An Efficient Deep Neural Network for Devices with Constrained Computational Resources
Creators: name: Kalgaonkar, Priyank
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Artificial intelligence not elsewhere classified
Cognitive neuroscience
Computer vision
Knowledge representation and reasoning

description: Research work presented within this thesis propose a neoteric variant of deep convolutional neural network architecture, CondenseNeXt, designed specifically for ARM-based embedded computing platforms with constrained computational resources. CondenseNeXt is an improved version of CondenseNet, the baseline architecture whose roots can be traced back to ResNet. CondeseNeXt replaces group convolutions in CondenseNet with depthwise separable convolutions and introduces group-wise pruning, a model compression technique, to prune (remove) redundant and insignificant elements that either are irrelevant or do not affect performance of the network upon disposition. Cardinality, a new dimension to the existing spatial dimensions, and class-balanced focal loss function, a weighting factor inversely proportional to the number of samples, has been incorporated in order to relieve the harsh effects of pruning, into the design of CondenseNeXt’s algorithm. Furthermore, extensive analyses of this novel CNN architecture was performed on three benchmarking image datasets: CIFAR-10, CIFAR-100 and ImageNet by deploying the trained weight on to an ARM-based embedded computing platform: NXP BlueBox 2.0, for real-time image classification. The outputs are observed in real-time in RTMaps Remote Studio’s console to verify the correctness of classes being predicted. CondenseNeXt achieves state-of-the-art image classification performance on three benchmark datasets including CIFAR-10 (4.79% top-1 error), CIFAR-100 (21.98% top-1 error) and ImageNet (7.91% single model, single crop top-5 error), and up to 59.98% reduction in forward FLOPs compared to CondenseNet. CondenseNeXt can also achieve a final trained model size of 2.9 MB, however at the cost of 2.26% in accuracy loss. Thus, performing image classification on ARM-Based computing platforms without requiring a CUDA enabled GPU support, with outstanding efficiency.
Experimental Hint for Gravitational CP Violation
Creators: name: Gharibyan, Vahagn
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: An equality of particle and antiparticle gravitational interactionsholds in general relativity and is supported by indirect observations. Gravity dependence on rotation or spin directionis experimentally constrained only at low energies.Here a method based on high energy Compton scattering is developedto measure the gravitational interaction of accelerated charged particles.Within that formalism the Compton spectra measured at HERA rule out the positron's anti-gravity and hint for a gravitationalCP violation around 13 GeV energies, at a maximal level of $1.3\pm0.2\%$ for the charge and $0.68\pm0.09\%$ for the space parity.A stronger gravitational coupling to left helicity electrons relative to right helicity positrons is detected.
Standard Model Higgs to Fermions with Run-2 data in CMS experiment
Creators: name: Wen, Yiwen
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2018

description: XXVI International Workshop on Deep Inelastic Scattering and Related Subjects, DIS2018, Kobe, Japan, 16 Apr 2018 - 20 Apr 2018
description: Observation for Higgs in tautau is reported, together with results from Higgs in bb and mumu decay
QCD Monte-Carlo model tuning studies with CMS data at 13 TeV
Creators: name: Dominguez Damiani, Daniela
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2018

description: XXVI International Workshop on Deep Inelastic Scattering and Related Subjects, DIS2018, Kobe, Japan, 16 Apr 2018 - 20 Apr 2018
description: New CMS PYTHIA 8 event tunes are presented. The new tunes are obtained using minimum bias and underlying event observables using Monte Carlo configurations with consistent parton distribution functions and strong coupling constant values in the matrix element and the parton shower. Validation and performance studies are presented by comparing the predictions of the new tune to various soft- and hard-QCD measurements at 7, 8 and 13 TeV with CMS.
Clustering High-dimensional Noisy Categorical and Mixed Data
Creators: name: Tian, Zhiyi
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Statistics not elsewhere classified

description: Clustering is an unsupervised learning technique widely used to group data into homogeneous clusters. For many real-world data containing categorical values, existing algorithms are often computationally costly in high dimensions, do not work well on noisy data with missing values, and rarely provide theoretical guarantees on clustering accuracy. In this thesis, we propose a general categorical data encoding method and a computationally efficient spectral based algorithm to cluster high-dimensional noisy categorical (nominal or ordinal) data. Under a statistical model for data on m attributes from n subjects in r clusters with missing probability epsilon, we show that our algorithm exactly recovers the true clusters with high probability when mn(1-epsilon) >= CMr2 log3M, with M=max(n,m) and a fixed constant C. Moreover, we show that mn(1- epsilon)2 >= r *delta/2 with 0< delta <1 is necessary for any algorithm to succeed with probability at least (1+delta)/2. In case, where m=n and r is fixed, for example, the sufficient condition matches with the necessary condition up to a polylog(n) factor, showing that our proposed algorithm is nearly optimal. We also show our algorithm outperforms several existing algorithms in both clustering accuracy and computational efficiency, both theoretically and numerically. In addition, we propose a spectral algorithm with standardization to cluster mixed data. This algorithm is computationally efficient and its clustering accuracy has been evaluated numerically on both real world data and synthetic data.
Lightweight Cyberattack Intrusion Detection System for Unmanned Aerial Vehicles using Recurrent Neural Networks
Creators: name: Hsu, Wei-Cheng
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Aerospace engineering not elsewhere classified
Autonomous vehicle systems

description: Unmanned aerial vehicles (UAVs) have gained more attention in recent years because of their ability to execute various missions. However, recent works have identified vulnerabilities in UAV systems that make them more readily prone to cyberattacks. In this work, the vulnerabilities in the communication channel between the UAV and ground control station are exploited to implement cyberattacks, specifically, the denial of service and false data injection attacks. Unlike other related studies that implemented attacks in simulations, we demonstrate the actual implementation of these attacks on a Holybro S500 quadrotor with PX4 autopilot firmware and MAVLink communication protocol.
The goal was to create a lightweight intrusion detection system (IDS) that leverages recurrent neural networks (RNNs) to accurately detect cyberattacks, even when implemented on a resource-constrained platform. Different types of RNNs, including simple RNNs, long short-term memory, gated recurrent units, and simple recurrent units, were trained and tested on actual experimental data. A recursive feature elimination approach was carried out on selected features to remove redundant features and to create a lighter RNN IDS model. We also studied the resource consumption of these RNNs on an Arduino Uno board, the lowest-cost companion computer that can be implemented with PX4 autopilot firmware and Pixhawk autopilot boards. The results show that a simple RNN has the best accuracy while also satisfying the constraints of the selected computer.
sj-pdf-2-jsr-10.1177_10946705211032275 – Supplemental Material for Actor Ecosystem Readiness: Understanding the Nature and Role of Human Abilities and Motivation in a Service Ecosystem
Creators: name: Danatzis, Ilias
name: Karpen, Ingo O.
name: Kleinaltenkamp, Michael
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: 150402 Hospitality Management

description: Supplemental Material, sj-pdf-2-jsr-10.1177_10946705211032275 for Actor Ecosystem Readiness: Understanding the Nature and Role of Human Abilities and Motivation in a Service Ecosystem by Ilias Danatzis, Ingo O. Karpen and Michael Kleinaltenkamp in Journal of Service Research
Additional file 2 of Effects of health educational and participatory consumer group interventions in improving food handling practices in regional director of health services area Kalutara, Sri Lanka: non-randomized controlled community trial
Creators: name: Hirimuthugoda, Lasantha Krishan
name: De Silva, Padmal
name: Abeykoon, Palitha
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Supplementary Material 2.
sj-docx-1-qjp-10.1177_17470218211044488 – Supplemental material for I am the metre: The representation of one’s body size affects the perception of tactile distances on the body
Creators: name: Tosi, Giorgia
name: Maravita, Angelo
name: Romano, Daniele
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-qjp-10.1177_17470218211044488 for I am the metre: The representation of one’s body size affects the perception of tactile distances on the body by Giorgia Tosi, Angelo Maravita and Daniele Romano in Quarterly Journal of Experimental Psychology
Additional file 3 of Effects of health educational and participatory consumer group interventions in improving food handling practices in regional director of health services area Kalutara, Sri Lanka: non-randomized controlled community trial
Creators: name: Hirimuthugoda, Lasantha Krishan
name: De Silva, Padmal
name: Abeykoon, Palitha
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Supplementary Material 3.
VALUE OF PERSONALIZATION: AN INTEGRATED PRODUCT DESIGN AND MANUFACTURING SYSTEMS APPROACH
Creators: name: Guevara, Oscar Rincon
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Manufacturing management
Manufacturing engineering not elsewhere classified
Other engineering not elsewhere classified

description: Product personalization is a manifestation of a person's uniqueness. It provides the customer with an opportunity for self-expression, creativity, and differentiation. Involving the customer in the product design process has a key role in the attainment of personalized production. The challenge for the manufacturing firm is to make personalized production efficient and available for everyone. This research focuses on the degree to which a manufacturer can offer a practical level of personalization by studying the relationship between product design and manufacturing system. We use a decision-analytic framework to relate product architecture, manufacturing configuration complexity, technology flexibility, and customer engagement point. We study the effects of the customer's interaction with the product design at a component and aggregated level using modularity measures.
The effects of personalized requirements are considered in the manufacturing processes by using a complexity measure. Then, we use a Bayesian network to assess the change in complexity and the overall change in the manufacturing system. We apply this approach to a gearbox example typical in a manufacturing setting. Further, we extend this framework to include product-service systems in the context of assistive technologies where we study the relationship between software structure and hardware specifications in terms of perceived performance. Additionally, we propose a game-theoretical approach to adapt these ideas to a competitive and cooperative game in the context of a shoe manufacturer. The competitive game aims to identify what components allow for customer interaction while the cooperative game aims to identify the coalitions of designers and manufacturers that can be created in a network when in-house personalization is not possible. Overall, this framework allows a manufacturer to evaluate the relative effort to fulfill customer specifications and provides the manufacturer with insights regarding their own product design and manufacturing capabilities in relation to personalized production.
Finite-Time Behavior of Erlang-C Model: Mixing Time, Mean Queue Length and Tail Bounds
Creators: name: Nguyen, Hoang Huy
name: Varma, Sushil Mahavir
name: Maguluri, Siva Theja
Publisher: name: arXiv
Year: 2025
Subjects: subject: Probability (math.PR)
subject: Performance (cs.PF)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: C.4; G.3

description: Service systems like data centers and ride-hailing are popularly modeled as queueing systems in the literature. Such systems are primarily studied in the steady state due to their analytical tractability. However, almost all applications in real life do not operate in a steady state, so there is a clear discrepancy in translating theoretical queueing results to practical applications. To this end, we provide a finite-time convergence for Erlang-C systems (also known as $M/M/n$ queues), providing a stepping stone towards understanding the transient behavior of more general queueing systems. We obtain a bound on the Chi-square distance between the finite time queue length distribution and the stationary distribution for a finite number of servers. We then use these bounds to study the behavior in the many-server heavy-traffic asymptotic regimes. The Erlang-C model exhibits a phase transition at the so-called Halfin-Whitt regime. We show that our mixing rate matches the limiting behavior in the Super-Halfin-Whitt regime, and matches up to a constant factor in the Sub-Halfin-Whitt regime.
 To prove such a result, we employ the Lyapunov-Poincaré approach, where we first carefully design a Lyapunov function to obtain a negative drift outside a finite set. Within the finite set, we develop different strategies depending on the properties of the finite set to get a handle on the mixing behavior via a local Poincaré inequality. A key aspect of our methodological contribution is in obtaining tight guarantees in these two regions, which when combined give us tight mixing time bounds. We believe that this approach is of independent interest for studying mixing in reversible countable-state Markov chains more generally.
description: 59 pages, accepted to ACM SIGMETRICS 2025
Machine Learning Approaches Towards Protein Structure and Function Prediction
Creators: name: Jain, Aashish
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Bioinformatics and computational biology not elsewhere classified
Applications in life sciences

description: Proteins are drivers of almost all biological processes in the cell. The functions of a protein are dependent on their three-dimensional structure and elucidating the structure and function of proteins is key to understanding how a biological system operates. In this research, we developed computational methods using machine learning techniques to predicts the structure and function of proteins. Protein 3D structure prediction has advanced significantly in recent years, largely due to deep learning approaches that predict inter-residue contacts and, more recently, distances using multiple sequence alignments (MSAs). The performance of these models depends on the number of similar protein sequences to the query protein, wherein some cases similar sequences are few but dissimilar sequences with local similarities are more and can be helpful. We have developed a novel deep learning-based approach AttentiveDist which further improves over the previous state of art. We added an attention mechanism where dis-similar sequences are also used (increasing number of sequences) and the model itself determines which information from such sequences it should attend to. We showed that the improvement of distance predictions was successfully transferred to achieve better protein tertiary structure modeling. We also show that structure prediction from a predicted distance map can be further enhanced by using predicted inter-residue sidechain center distances and main-chain hydrogen-bonds. Protein function prediction is another avenue we explored where we want to predict the function that a protein will perform. The crux of the approach is to predict the function of protein based on the function of similar sequences. Here, we developed a method where we use dissimilar sequences to extract additional information and improve performance over the previous approaches. We used phylogenetic analysis to determine if a dissimilar sequence can be close to the query sequence and thus can provide functional information. Our method was ranked highly in worldwide protein function prediction competition CAFA3 (2016-2019). Further, we expanded the method with a neural network to predict protein toxicity that can be used as a safety check for human-designed protein sequences.
Additional file 4 of Effects of health educational and participatory consumer group interventions in improving food handling practices in regional director of health services area Kalutara, Sri Lanka: non-randomized controlled community trial
Creators: name: Hirimuthugoda, Lasantha Krishan
name: De Silva, Padmal
name: Abeykoon, Palitha
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Supplementary Material 4.
sj-docx-1-psp-10.1177_01461672211044322 – Supplemental material for Attitudinal Effects of Stimulus Co-occurrence and Stimulus Relations: Paradoxical Effects of Cognitive Load
Creators: name: Gawronski, Bertram
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-psp-10.1177_01461672211044322 for Attitudinal Effects of Stimulus Co-occurrence and Stimulus Relations: Paradoxical Effects of Cognitive Load by Bertram Gawronski in Personality and Social Psychology Bulletin
sj-docx-1-psp-10.1177_01461672211040964 – Supplemental material for Social Media Use Predicts Greater Liking in In-Person Initial Interactions
Creators: name: Heyman, Jennifer L.
name: Kerr, Lauren Gazzard
name: Human, Lauren J.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-psp-10.1177_01461672211040964 for Social Media Use Predicts Greater Liking in In-Person Initial Interactions by Jennifer L. Heyman, Lauren Gazzard Kerr and Lauren J. Human in Personality and Social Psychology Bulletin
sj-pdf-1-ijd-10.1177_10567895211045420 - Supplemental material for An elasto-plastic damage accumulation model for fatigue life predication of ductile metals at the yield stress
Creators: name: Huo, Jindong
name: You, Xiaochuan
name: Hu, Jianan
name: Zhuang, Zhuo
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-pdf-1-ijd-10.1177_10567895211045420 for An elasto-plastic damage accumulation model for fatigue life predication of ductile metals at the yield stress by Jindong Huo, Xiaochuan You, Jianan Hu and Zhuo Zhuang in International Journal of Damage Mechanics
SENSOR CALIBRATION SYSTEM AND METHODOLOGY FOR TIP CLEARANCE MEASUREMENTS IN TURBOMACHINES
Creators: name: Salinas, Santiago D
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Mechanical engineering not elsewhere classified
Aerospace engineering not elsewhere classified

description: With increasingly tighter tip clearances in modern turbomachinery, it is essential to precisely measure this parameter during turbomachinery characterization. Benefits from measuring tip clearances include monitoring the structural integrity of the machine and estimating aerodynamic losses incurred due to leakage flows. At present, capacitance probes are one of the most commonly used sensors for tip clearance measurements in turbomachines as they are accurate and robust. One of the main challenges when using capacitance probes is properly calibrating the sensors, which usually involves complex positioning systems and blade representative targets. This manuscript describes in detail the development of a methodology for in-house calibration of capacitance probes for tip clearance measurements. A novel calibration procedure that does not involve rotating components is investigated and compared against established calibration methods. First, a calibration bench was developed to demonstrate the static and dynamic performance of the acquisition system and perform quasi-static as well as dynamic calibrations in a controlled environment. An in-situ methodology was then developed to calibrate the sensors once installed in a two-stage rotating turbine rig. The proposed methodology does not require complex positioning systems and a regression analysis using a least squares scheme resulted in a coefficient of determination of 0.9998. The calibration was validated using specially designed instrumentation at various speeds that span the operating envelope of the rig. A Bayesian model that was developed to estimate measurement uncertainties for each method showed that uncertainties as low as ± 5μm can be achieved with the proposed system. The proposed methodology was used in a two-stage turbine rig. Measurements taken at three different circumferential locations were subsequently used to map the spatial distribution of tip clearances throughout the speed operational envelope of the turbine. Finally, a reduced order rotor displacement model was developed and fitted to capacitance probes data. The work presented in this thesis lays the foundation for high fidelity tip clearance measurement capabilities at the Purdue Experimental Turbine Aerothermal Laboratory and can be implemented into any rotating rig.
sj-docx-1-qjp-10.1177_17470218211041923 – Supplemental material for The role of inhibitory control in shoot/don’t-shoot decisions
Creators: name: Biggs, Adam T
name: Pettijohn, Kyle A
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-qjp-10.1177_17470218211041923 for The role of inhibitory control in shoot/don’t-shoot decisions by Adam T Biggs and Kyle A Pettijohn in Quarterly Journal of Experimental Psychology
Additional file 1 of The Automated Systematic Search Deduplicator (ASySD): a rapid, open-source, interoperable tool to remove duplicate citations in biomedical systematic reviews
Creators: name: Hair, Kaitlyn
name: Bahor, Zsanett
name: Macleod, Malcolm
name: Liao, Jing
name: Sena, Emily S.
Publisher: name: figshare
Year: 2024
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences

description: Additional file 1. Deduplication results for each dataset using the default configuration
sj-docx-1-qjp-10.1177_17470218211043434 – Supplemental material for Limitations of occasional reinforced extinction to alleviate spontaneous recovery and reinstatement effects: Evidence for a trial-signalling mechanism
Creators: name: Quintero, María J
name: Flores, Amanda
name: Gutiérrez-Huerta, María T
name: Molina-Guerrero, Patricia
name: López, Francisco J
name: Morís, Joaquín
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-qjp-10.1177_17470218211043434 for Limitations of occasional reinforced extinction to alleviate spontaneous recovery and reinstatement effects: Evidence for a trial-signalling mechanism by María J Quintero, Amanda Flores, María T Gutiérrez-Huerta, Patricia Molina-Guerrero, Francisco J López and Joaquín Morís in Quarterly Journal of Experimental Psychology
Characterization of the Thioesterase Domain of the Bacillaene Pathway
Creators: name: Horsman, Mark
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2018
Subjects: thioesterase
polyketide
bacillaene

description: The goals of this work are to advance the understanding of the mechanisms of thioesterase loading-substrate and release-nucleophile selectivity and to develop an analytical methodology and modelling theory as tools for quantitative measures of thioesterase activity. The first aspect of this work is a bioinformatic examination of examples of thioesterases that catalyze different forms of release at different rates of reaction dependent on the type of thioester substrate presented to it. In addition, the type I thioesterase domain from the Type I modular polyketide synthase pathway responsible for the production of bacillaene was cloned, expressed, and purified for kinetic characterization as a model trans-AT type thioesterase. N-Acetylcysteamine and acyl carrier protein-bound acyl substrates were synthesized as substrates for hydrolysis catalysed by the bacillaene thioesterase. The rate of reaction was indirectly observed with a widely-adopted visual spectroscopy assay facilitated by the thiol indicator 5,5'-dithio-bis-[2-nitrobenzoic acid]. Variants of the bacillaene thioesterase coded from two different bacterial isolates with 57 % amino acid identity (73 % similarity) both exhibited rapid declining activity under the conditions used for Ellman’s, indicative of inhibition. This matches rare literature examples of other thioesterase domains under the same spectroscopic assay conditions. We demonstrate that initial rate of reaction data is insufficient to describe substrate selectivity in these systems and develop a time-dependent model capable of accounting for irreversible substrate inhibition during catalysis. This model was sufficient to reproduce the thioesterase activity observed between the bacillaene thioesterase and methyl valeric-SNAC but is insufficient to model the responses observed during the hydrolysis of trans-2-methyl-2-pentenoyl-SNAC or cis-3-methyl-2-pentenoyl-SNAC. Finally, we detailed synthetic and assay conditions for the production, cleavage, and detection of the ACP-tethered substrate equivalents. This contributes towards the development of complex thioesterase assays that better estimate type I bacterial thioesterase activity during polyketide synthesis.
sj-pdf-1-bjo-10.1177_03080226211022956 – Supplemental Material for Development and Validation of Iranian Adolescent’s Participation Assessment Tool
Creators: name: Joveini, Ghodsiyeh
name: Hasani Mehraban, Afsoon
name: Zareiyan, Armin
name: Khalafbeigi, Mitra
name: Lajevardi, Laleh
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: 111702 Aged Health Care

description: Supplemental Material, sj-pdf-1-bjo-10.1177_03080226211022956 for Development and Validation of Iranian Adolescent’s Participation Assessment Tool by Ghodsiyeh Joveini, Afsoon Hasani Mehraban, Armin Zareiyan, Mitra Khalafbeigi and Laleh Lajevardi in British Journal of Occupational Therapy
Additional file 1 of Cannabis use associated with lower mortality among hospitalized Covid-19 patients using the national inpatient sample: an epidemiological study
Creators: name: Igwe, Joseph-Kevin
name: Alaribe, Ugo
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Computational Biology

description: Supplementary Material 1.
Rio de Janeiro Pacification Programs: The militarization of the police in the perpetuation of structural violence
Creators: name: De Castro Boria, Fernanda
Publisher: name: Université Saint-Paul / Saint Paul University
Year: 2018
Subjects: Rio de Janeiro
Favelas
Structural violence
peace process

description: Rio de Janeiro has gone through four attempts to decrease the levels of violence in the city, nonetheless the city continues to be portrayed in the news as a city of violence and war. The projects attempted to decrease violence rates as well as combat police corruption and brutality. Moreover, the four projects aimed at reinstating the State control over the favelas, areas considered to be under the command of criminal groups. Known for its violent practices and corruption, the police of Rio was the main object of reform in all of the four projects as an attempt to decrease police brutality, corruption and the tensions between police forces and the favela residents. Exposing the deep-rooted causes of Rio’s violence, the present paper analyses the four peace projects implemented in Rio through the lenses of structural violence. Between racism, classism and the culturally constructed militarized image of the police, Rio does not seem to be able to reach peace. Departing from the principle that the State is not absent from the favelas but rather gives its power to the gangs through corruption and exclusion, the present paper analyses the social impediments for peace.
Impact of Microplastics on Microbial Diversity in Riparian Soils and on Microplastic Surfaces
Creators: name: Khoury, Sarah Christine
Publisher: name: University of Illinois Chicago
Year: 2025

description: The effects of microplastics (MP) on microbial community diversity in non-agricultural, terrestrial environments are uncertain, particularly in riparian soils. This experimental study is focused on microbiome community structure in riparian soils in North American—particularly north-central Illinois—freshwater wetlands and prairie biomes, both affected and unaffected by MP, as well as community structure on MP particles. The MP studied are widely used plastics, including polyester microfiber (MF), polyethylene (PE), polypropylene (PP), and polystyrene (PS).
The presence of MP altered the diversity of the soil microbial community, including the relative abundance of key taxa involved in methane and nitrogen cycling, and increased the abundance of possible plastic degrading taxa. Taxa involved in methane and nitrogen cycling also colonized MP surfaces under experimental conditions, varying by the MP type and across sites from which the soil was extracted. Understanding the trends in taxa that colonize the MPs as opposed to those in the soils is useful in determining the impact MP pollution might have on the various biogeochemical cycles in this terrestrial environment.
Additional file 1 of The impact of COVID-19 on patient engagement with primary healthcare: lessons from the saudi primary care setting
Creators: name: Alghamdi, Alaa
name: Ramsay, Angus I. G.
name: Abrams, Ruth
name: Bailey, Julia V.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health

description: Supplementary Material 1
EMERGENCY MEDICAL SERVICE EMR-DRIVEN CONCEPT EXTRACTION FROM NARRATIVE TEXT
Creators: name: George, Susanna S
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Digital processor architectures
Other information and computing sciences not elsewhere classified

description: Being in the midst of a pandemic with patients having minor symptoms that quickly become fatal to patients with situations like a stemi heart attack, a fatal accident injury, and so on, the importance of medical research to improve speed and efficiency in patient care, has increased. As researchers in the computer domain work hard to use automation in technology in assisting the first responders in the work they do, decreasing the cognitive load on the field crew, time taken for documentation of each patient case and improving accuracy in details of a report has been a priority.
This paper presents an information extraction algorithm that custom engineers certain existing extraction techniques that work on the principles of natural language processing like metamap along with syntactic dependency parser like spacy for analyzing the sentence structure and regular expressions to recurring patterns, to retrieve patient-specific information from medical narratives. These concept value pairs automatically populates the fields of an EMR form which could be reviewed and modified manually if needed. This report can then be reused for various medical and billing purposes related to the patient.
Cultures of writing: The state of transfer at state comprehensive universities
Creators: name: Sherman, Derek R
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Philosophy of language
Curriculum and pedagogy theory and development
Education assessment and evaluation

description: The Elon Research Seminar, Critical Transitions: Writing and the Question of Transfer, was a coalition of rhetoric and composition scholars’ attempt at codifying writing transfer knowledge for teaching and research purposes. Although the seminar was an important leap in transfer research, many ‘behind the scenes’ decisions of writing transfer, often those not involving the writing program, go unnoticed, yet play a pivotal role in how writing programs encourage and reproduce writing transfer in the classroom. This dissertation study, inspired by a pilot study conducted in Fall 2018 on writing across the curriculum programs and their role in writing transfer, illustrates how an institution’s context systems (e.g., macrosystem, mesosystem, microsystem, etc.) affect writing programs’ processes—i.e., curriculum components, assessment, and administrative structure and budget—and vice versa. Using Bronfenbrenner and Morris’ (2006) bioecological model, I show how writing programs and their context systems interact to reproduce writing transfer practices. Through ten interviews with writing program administrators at state comprehensive universities, I delineate specific actions that each writing program could take to encourage writing transfer. I develop a list of roles and responsibilities a university’s context systems play in advocating writing transfer practices. The results of the study show that research beyond the writing classroom and students is necessary to understand how writing transfer opportunities arise in university cultures of writing.
Language Background and the Realization of the Information Structure Constraints on English Ditransitive Constructions: Evidence from Monolingual and Bilingual Speakers
Creators: name: Weirick, Joshua David
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Linguistics not elsewhere classified
Psycholinguistics (incl. speech production and comprehension)
Linguistic structures (incl. phonology, morphology and syntax)

description: Previous research has shown that the type of ditransitive sentence preferred by English speakers in a particular linguistic context is significantly influenced by the relative ‘givenness’ of the post verbal arguments (i.e. the assumption that the referent of a linguistic expression is known to the speaker/hearer). This ‘givenness constraint’ has also been shown to play a role in the ditransitive sentence preferences of bilingual English speakers. Some have claimed that the realization of the givenness constraint in the ditransitive sentence preferences of bilingual English speakers is significantly influenced by the characteristics of their dominant language; however, no studies that I am aware of have explicitly compared the preferences of speakers whose dominant languages feature different sets of ditransitive sentence types, making this claim difficult to evaluate. Additionally, the effects of task type (i.e. the experimental task(s) employed by a particular study), and variables related to speakers’ experience with English and English proficiency, relative to language background are unclear. This study attempts to clarify the role of language background in the realization of the givenness constraint by recruiting three groups of English speakers: German-English bilingual speakers living in Germany, Spanish-English bilingual speakers living in Mexico, and monolingual English speakers living in the United States. The three groups completed three tasks, all of which were administered over the internet: a scalar acceptability judgement task, a forced choice task, and a self-paced reading task. The results from the two bilingual groups showed significant effects of language background, even after factors related to English proficiency and English experience were taken into account. The results support an interpretation where language background plays a significant role in the realization of the givenness constraint on bilingual speakers’ ditransitive sentence preferences.
sj-docx-1-crx-10.1177_00936502211042516 – Supplemental material for “Be Nice or Leave Me Alone”: An Intergroup Perspective on Affective Polarization in Online Political Discussions
Creators: name: Marchal, Nahema
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications

description: Supplemental material, sj-docx-1-crx-10.1177_00936502211042516 for “Be Nice or Leave Me Alone”: An Intergroup Perspective on Affective Polarization in Online Political Discussions by Nahema Marchal in Communication Research
sj-pdf-1-sri-10.1177_1553350621998871 – Supplemental Material for Patient-Reported Outcome Measures in Colorectal Surgery: Construction of Core Measures Using Open-Source Research Method
Creators: name: El-Hussuna, Alaa
name: Rubio-Perez, Ines
name: Millan, Monica
name: Pellino, Gianluca
name: Negoi, Ionut
name: Gallo, Gaetano
name: Shalaby, Mostafa
name: Celentano, Valerio
name: Green, Ryan
name: Minaya-Bravo, Ana
name: Emile, Sameh
name: Smart, Neil J.
name: Maeda, Yasuko
name: Ivatury, Srinivas J.
name: Mackenzie, Graham
name: Yalçınkaya, Ali
name: Mellenthin, Claudia
name: N. Dudi-Venkata, Nagendra
name: Davies, Justin
name: McNair, Angus
name: Pata, Francesco
name: Gymoese Berthelsen, Kasper
name: Rivadeneira, David
name: Spinelli, Antonino
name: Myrelid, Pår
name: Mayol, Julio
name: Wexner, Steven
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: FOS: Health sciences
subject: 110323 Surgery
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental Material, sj-pdf-1-sri-10.1177_1553350621998871 for Patient-Reported Outcome Measures in Colorectal Surgery: Construction of Core Measures Using Open-Source Research Method by Alaa El-Hussuna, Ines Rubio-Perez, Monica Millan, Gianluca Pellino, Ionut Negoi, Gaetano Gallo, Mostafa Shalaby, Valerio Celentano, Ryan Green, Ana Minaya-Bravo, Sameh Emile, Neil J. Smart, Yasuko Maeda, Srinivas J. Ivatury, Graham Mackenzie, Ali Yalçınkaya, Claudia Mellenthin, Nagendra N. Dudi-Venkata, Justin Davies, Angus McNair, Francesco Pata, Kasper Gymoese Berthelsen, David Rivadeneira, Antonino Spinelli, Pår Myrelid, Julio Mayol and Steven Wexner in Surgical Innovation