cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The determinants of bank loan recovery rates in good times and bad -- new evidence
Creators: name: Wang, Hong
name: Forbes, Catherine S.
name: Fenech, Jean-Pierre
name: Vaz, John
Publisher: name: Monash University
Year: 2022
Subjects: classificationCode: 380202
subject: Econometric and statistical methods
classificationCode: 380299
subject: Econometrics not elsewhere classified

description: We find that factors explaining bank loan recovery rates vary depending on the state of the economic cycle. Our modeling approach incorporates a two-state Markov switching mechanism as a proxy for the latent credit cycle, helping to explain differences in observed recovery rates over time. Using US bank default loan data from Moody's Ultimate Recovery Database and covering the pre- and post-GFC period, this paper develops a dynamic predictive model for bank loan recovery rates, accommodating the distinctive empirical features of the recovery rate data while incorporating a large number of possible determinants. We find that the probability of default and certain loan-specific and other variables hold different explanatory power with respect to recovery rates over `good' and `bad' times in the credit cycle, meaning that the relationship between recovery rates and certain loan characteristics, firm characteristics and the probability of default differs depending on underlying credit market conditions. Our findings demonstrate the importance of accounting for countercyclical expected recovery rates when determining capital retention levels.
title: Modelling and Validation of a Cable-Assisted Robotic System for Machining Application
Creators: name: Sajjad, Omer
Publisher: name: Graduate Studies
Year: 2025
Subjects: subject: Engineering--Mechanical
subject: Robotics

description: In the rapidly evolving landscape of manufacturing processes, robotic systems have gained prominence for their precision and efficiency. A cable-assisted robotic system (CARS) tailored for machining operations, offering enhanced stiffness is presented in this thesis. This thesis aims to understand CARS dynamic behaviour by experimentally examining the system under various conditions. These conditions include equilibrium and imbalance states, varying the robot postures, and varying the pulley locations. Understanding the influence of these variables aids in determining the feasibility of such a system. Additionally, the influence of the cables on the systems is examined. Cable types are varied from solid to stranded, as well as the number of cables and the size of the cables. The cable tension is also manipulated and the effects are investigated. The cables act as massless redundant links providing the robot with additional stiffness, however the extent to which additional stiffness is applied needs to be determined. CARS is also examined in a quasi-static state. The quasi-static state differs from the static, impacting the stability limits at the low frequencies and giving a better understanding of the dynamics of the system for machining applications. Finally, CARS is tested in machining by performing chatter tests under the use of different cables. Furthermore, this thesis presents a novel mathematical model for CARS, consisting of a semi-empirical cable model integrated with a serial robot model. The cable properties are identified experimentally, while the robot properties are determined using optimization techniques. The model is derived using the Euler-Lagrange method, and is validated by simulating CARS response and comparing it to the results obtained through experimentation. Finally, the model is optimized using a genetic algorithm to determine the cable configuration that maximizes the dynamic stiffness. These findings have implications for robotic machining applications and broader industrial robotics.
Topological Bogoliubov quasiparticles from Bose-Einstein condensate in a flat band system
Creators: name: Jalali-Mola, Zahra
name: Grass, Tobias
name: Kasper, Valentin
name: Lewenstein, Maciej
name: Bhattacharya, Utso
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: For bosons with flat energy dispersion, condensation can occur in different symmetry sectors. Here, we consider bosons in a Kagome lattice with $π$-flux hopping, which in the presence of mean-field interactions exhibit degenerate condensates in the $Γ$- and the $K$-point. We analyze the excitation above both condensates and find strikingly different properties: For the $K$-point condensate, the Bogoliubov-de Gennes (BdG) Hamiltonian has broken particle-hole symmetry (PHS) and exhibits a topologically trivial quasiparticle band structure. However, band flatness plays a key role in breaking the time reversal symmetry (TRS) of the BdG Hamiltonian for a $Γ$-point condensate. Consequently, its quasiparticle band structure exhibits non-trivial topology, characterized by non-zero Chern numbers and the presence of edge states. Although quantum fluctuations energetically favor the $K$-point condensate, the interesting properties of the $Γ$-point condensate become relevant for anisotropic hopping. The topological properties of the $Γ$-point condensate get even richer in the presence of extended Bose-Hubbard interactions. We find a topological phase transition into a topological condensate characterized by high Chern number and also comment on the realization and detection of such excitations.
Cynoglossus oligolepis
Creators: name: Zainal Abidin, Danial Hariz
name: Lavoué, Sébastien
name: Mohd Abu Hassan Alshari, Norli Fauzani
name: Mohd. Nor, Siti Azizah
name: A. Rahim, Masazurah
name: Mohammed Akib, Noor Adelyna
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Pleuronectiformes
Cynoglossidae
Cynoglossus
Cynoglossus oligolepis

description: Cynoglossus oligolepis (Bleeker, 1855) Material examined. MALAYSIA • 1, 79 mm TL; Kedah State, Kampung Batu Lintang, Pompang Batu Lintang; 05.625°N, 100.394°E; 17 Jul. 2019; Sébastien Lavoué leg.; USMFC (84) 00004.
description: Published as part of Zainal Abidin, Danial Hariz, Lavoué, Sébastien, Mohd Abu Hassan Alshari, Norli Fauzani, Mohd. Nor, Siti Azizah, A. Rahim, Masazurah & Mohammed Akib, Noor Adelyna, 2021, Ichthyofauna of Sungai Merbok Mangrove Forest Reserve, northwest Peninsular Malaysia, and its adjacent marine waters, pp. 601-631 in Check List 17 (2) on page 621, DOI: 10.15560/17.2.601
title: Blind Source Separation in Dynamic Networks
Creators: name: Maneshkarimi, Shirin
Publisher: name: Arts
Year: 2025
Subjects: subject: Blind Source Separation
subject: Blind System Identification
subject: Steady-State Kalman Filter
subject: State-Space Representation
subject: Engineering--Electronics and Electrical

description: Blind source separation (BSS) is a mathematical technique that addresses the challenge of separating a mixture of signals into its original, independent sources without prior knowledge of the mixing process. The main objective of this research is to propose a BSS algorithm focused on identifying mutually uncorrelated sources that drive the network, which consists of discrete-time linear time-invariant (LTI) interconnected modules. This study first improves an existing BSS method, which uses a finite impulse response (FIR) model in the prediction error method (PEM) framework to model the input-output transfer function matrix and make it applicable in real-time scenarios. Implemented on field data from Hifi Engineering Inc., this algorithm has demonstrated reliability in online estimating sources over several commercial deployments. However, this method, refined by choosing an automatic regularization factor, still reveals certain limitations: the optimal order of the FIR model remains indeterminate, affecting accuracy and computational efficiency. Moreover, precisely predicting delays between measurement locations and adjusting various parameters requires significant manual intervention, posing barriers to scalability and automation. Next, we propose a novel method within a subspace framework to address these constraints, using the known network topology while minimizing prediction error. Given the network's structure, this approach first integrates elements of PEM with subspace identification techniques, allowing us to identify parameterized state-space matrices through sequential optimization processes aimed at reducing prediction error, which is defined as the difference between the estimated and parameterized Kalman filter predictor. This technique functions within a steady-state Kalman framework, employing data equations to accurately predict the dynamics of the multi-input multi-output (MIMO) network. The performance of the structured BSS method is evaluated by comparing the results of estimating the independent sources obtained through structured state matrices against those generated by conventional subspace methods with unstructured state matrices. The simulation results indicate that structured BSS, given the network topology, offers superior accuracy and robustness in source estimation. This progress in BSS shows how having prior knowledge about the network structure can help separate sources more efficiently and reliably in complex networks.
Transplacental transmission of tick-borne Babesia microti in its natural host Peromyscus leucopus
Creators: name: Tufts, Danielle M.
name: Diuk-Wasser, Maria A.
Publisher: name: Columbia University
Year: 2018
Subjects: Ixodes scapularis
Babesiosis
Rodents
Babesia
Emerging infectious diseases

description: Background
                Babesia microti is an emerging tick-borne pathogen and the causative agent of human babesiosis. Mathematical modeling of the reproductive rate of B. microti indicates that it cannot persist in nature by horizontal tick-host transmission alone. We hypothesized that transplacental transmission in the reservoir population contributes to B. microti persistence and emergence in North American rodent populations.

                Methods
                Peromyscus leucopus were collected from Connecticut and Block Island, Rhode Island and analyzed using a highly specific quantitative PCR (qPCR) assay for infection with B. microti.

                Results
                In April, 100% (n = 103) of mice were infected with B. microti. Females exhibited significantly higher parasitemia than their offspring (P < 0.0001) and transplacental transmission was observed in 74.2% of embryos (n = 89). Transplacental transmission of B. microti is thus a viable and potentially important infectious pathway in naturally infected rodent species and should be considered in future theoretical and empirical studies.

                Conclusions
                To our knowledge, this study is the first to report transplacental transmission of B. microti occurring in its natural reservoir host, P. leucopus, in the United States and the only study that provides a quantitative estimate of parasitemia. This vector-independent pathway could contribute to the increased geographic range of B. microti or increase its abundance in endemic areas.
Assessment of interatomic potentials for atomistic analysis of static and dynamic properties of screw dislocations in W
Creators: name: Cereceda, David
name: Perlado, J. Manuel
name: Stukowski, Alexander
name: Queyreau, Sylvain
name: Marian, Jaime
name: Ventelon, Lisa
name: Marinica, M. -Cosmin
Publisher: name: arXiv
Year: 2012
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Screw dislocations in bcc metals display non-planar cores at zero temperature which result in high lattice friction and thermally activated strain rate behavior. In bcc W, electronic structure molecular statics calculations reveal a compact, non-degenerate core with an associated Peierls stress between 1.7 and 2.8 GPa. However, a full picture of the dynamic behavior of dislocations can only be gained by using more efficient atomistic simulations based on semiempirical interatomic potentials. In this paper we assess the suitability of five different potentials in terms of static properties relevant to screw dislocations in pure W. As well, we perform molecular dynamics simulations of stress-assisted glide using all five potentials to study the dynamic behavior of screw dislocations under shear stress. Dislocations are seen to display thermally-activated motion in most of the applied stress range, with a gradual transition to a viscous damping regime at high stresses. We find that one potential predicts a core transformation from compact to dissociated at finite temperature that affects the energetics of kink-pair production and impacts the mechanism of motion. We conclude that a modified embedded-atom potential achieves the best compromise in terms of static and dynamic screw dislocation properties, although at an expense of about ten-fold compared to central potentials.
Additional file 1 of Community-wide patterns in pollen and ovule production, their ratio (P/O), and other floral traits along an elevation gradient in southwestern China
Creators: name: Nepal, Shristhi
name: Trunschke, Judith
name: Ren, Zong-Xin
name: Burgess, Kevin S.
name: Wang, Hong
Publisher: name: figshare
Year: 2023
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: Ecology

description: Supplementary Material 1
title: CFD Simulation of Abdominal Aortic Flow Using Mesh Morphing Approach
Creators: name: Hassaniazar Daryani, Amir
Publisher: name: Graduate Studies
Year: 2025
Subjects: subject: Computational fluid dynamics
subject: Abdominal aortic aneurysm
subject: Dynamic wall modeling
subject: Wall shear stress
subject: Patient-specific modeling
subject: Engineering--Biomedical

description: The life-threatening condition known as abdominal aortic aneurysm (AAA) is characterized by localized dilatation of the abdominal aorta, which frequently results in rupture if left untreated. Computational fluid dynamics (CFD) simulations have become useful tools for improving clinical decision-making and comprehending the biomechanical environment of aneurysms, especially when combined with patient-specific modeling. Traditional CFD techniques, such as rigid wall assumptions cannot adequately capture the dynamic behavior of the aorta. On the other hand, fluid-structure interaction (FSI) models require precise estimates of local wall properties in order to be physiologically relevant. This work bridges the gap between rigid and FSI models while preserving computational efficiency by introducing a novel dynamic mesh morphing technique that integrates aortic wall motion into CFD simulations. The study's objectives were, first, to develop and validate a moving mesh technique for integrating wall motion into CFD simulations, and second, to assess the variations in hemodynamic descriptors between dynamic and rigid wall assumptions. Simulations were carried out using imaging-derived patient-specific geometries to evaluate the effect of dynamic wall behavior on important parameters like time-averaged wall shear stress (TAWSS). The results demonstrated the added realism of including wall dynamics by demonstrating that the dynamic model captured critical wall motion and deformation patterns that were not present in rigid wall assumptions. These variations were especially noticeable in areas with complex flow patterns or high strain, highlighting how crucial dynamic modeling is to represent AAA hemodynamics accurately. This thesis highlights the significance of incorporating realistic aortic wall motion into CFD simulations to enhance the understanding of AAA pathophysiology. While the results showed minimal differences in the dynamic versus rigid wall simulations, the differences were more pronounced in correspondence with areas of high strain, possibly on account of local wall degeneration. The dynamic mesh technique offers a tool to incorporate local dynamic information and overcome the drawbacks of existing modeling approaches. Future studies could investigate this method's clinical application in more detail, extending its use to other vascular regions and conditions and improving the assumptions made about boundary conditions to increase predictive accuracy.
title: Driving Behaviours of Older Adults: Insights into Driver Identification and Real-World Navigational Patterns
Creators: name: Derafshi, Reihaneh
Publisher: name: Graduate Studies
Year: 2025
Subjects: subject: Driving behaviours
subject: Route choices
subject: Older adults
subject: Dementia
subject: Machine learning
subject: Driver identification
subject: Driving signature
subject: Artificial Intelligence

description: Maintaining driving independence is crucial for older adults, yet cognitive decline poses challenges that impact their safety and decision-making on the road. Additionally, the ability to identify drivers based on unique behavioural patterns has significant implications for vehicle security, personalized driver assistance, and road safety. This thesis explores these interconnected themes through two complementary studies that leverage real-world driving data to gain insights into navigational behaviors and driver identification. The first study examines the relationship between cognitive impairment and driving patterns in older adults. Using GPS data from 246 participants, including 230 cognitively normal individuals and 16 with incident cognitive impairment, spatial clustering and hashing algorithms revealed significant differences in driving behaviours. Participants with cognitive impairment demonstrated reduced route variability and reliance on fewer distinct paths to common destinations, offering evidence for driving as a potential digital biomarker for early detection and monitoring of cognitive decline. The second study presents a privacy-preserving methodology for driver identification using gas and brake data recorded during maneuvers. An unsupervised acceleration-based maneuver detection method was developed, followed by a supervised Long Short-Term Memory (LSTM) model for predicting driver identity. Results demonstrated the efficacy of this approach, achieving an average accuracy of 90.9% across crossvalidation folds. The findings highlight the existence of personal driving signatures embedded in gas and brake patterns, offering a scalable and privacy-conscious solution for driver identification. Together, these studies aim to uncover insights into how cognitive health and individual driving behaviours shape real-world navigational patterns, advancing our understanding of driving as both a digital biomarker and a personal identifier. By integrating behavioural analysis with scalable computational models, this thesis advances the potential for personalized driver systems, digital health monitoring, and vehicle security in naturalistic driving environments.
Irreducible components of the moduli space of Langlands parameters
Creators: name: Shotton, Jack
Publisher: name: arXiv
Year: 2023
Subjects: subject: Number Theory (math.NT)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: Let $F/\mathbb{Q}_p$ be finite and let $\mathfrak{X}_G$ be the moduli space of Langlands parameters valued in $G$, in characteristic distinct from $p$. First, we determine the irreducible components of $\mathfrak{X}_G$. Then, we determine the local structure around tamely ramified points for which the image of `tame inertia' is regular. This local structure is related to the endomorphism rings of Gelfand--Graev representations, by work of Li. Lastly, we determine an open dense set in $\mathfrak{X}_M$, when $M$ is a Levi subgroup of $G$, such that the natural map of moduli stacks $[\mathfrak{X}_M/M] \to [\mathfrak{X}_G/G]$ is smooth on this set.
description: 18 pages, comments welcome!
title: From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education
Creators: name: Eaton, Sarah Elaine
Publisher: name: Werklund School of Education
Year: 2025
Subjects: subject: artificial intelligence
subject: academic integrity
subject: ethics
subject: pedagogy
subject: postplagiarism
subject: plagiarism
subject: academic misconduct
subject: academic cheating
subject: assessment
subject: critical thinking
subject: student agency
subject: authorship

description: Higher education is undergoing a seismic shift with the advent of Generative AI (GenAI) technologies. In this session we explore the transformative impact of GenAI on teaching, learning, and assessment practices in a rapidly evolving academic environment. Join us as we explore challenges and opportunities presented by GenAI, examining how it reshapes our understanding of academic integrity, student agency, and authentic assessment. Dr. Sarah Elaine Eaton will discuss innovative strategies for integrating GenAI into educational practices while maintaining the core values of academic integrity, critical thinking, and original scholarship. This webinar is essential for educators, administrators, and policymakers who are grappling with the implications of AI in higher education and seeking proactive approaches to harness its potential. Learning Outcomes: By the end of this webinar, participants will be able to: 1. Understand the concept of post-plagiarism as an impact of GenAI on traditional concepts of plagiarism and academic misconduct in higher education. 2. Identify strategies to foster student agency and critical thinking skills in an AI-augmented learning environment. 3. Formulate approaches to uphold and promote academic integrity in the context of widespread GenAI use in higher education. Recommended citation: Eaton, S. E. (2025, January 29). From Plagiarism to Postplagiarism: Navigating the GenAI Revolution in Higher Education Centre for Artificial Intelligence Ethics, Literacy, and Integrity (CAIELI): Generative AI Workshops, University of Calgary, Calgary, Canada. https://hdl.handle.net/1880/120649
title: Encapsulation of an Organic Phase Change Material in Wheat Straw Derived Cellulose by Spray Drying
Creators: name: Ulrich, Anna
Publisher: name: Graduate Studies
Year: 2025
Subjects: subject: Phase Change Material
subject: Encapsulation
subject: Spray Dryer
subject: Cellulose
subject: Engineering--Chemical
subject: Energy
subject: Materials Science

description: Phase change materials (PCMs) have the potential to provide valuable thermal energy storage. However, PCMs are not widely used due to challenges with their implementation. Factors including leakage, high-cost materials, energy-intensive processes, and the presence of potentially toxic chemicals are barriers to the widespread use of PCMs. A promising approach is to use biomass derived materials for the encapsulation of PCMs, providing inexpensive and non-toxic wall materials. Spray drying processes are more favorable for large scale production than other encapsulation methods. Many studies have used cellulose or cellulose derivatives to encapsulate PCMs, however most of these methods pose significant challenges to scale up, either due to costs, toxicity, or difficulties with the method itself. This work aims to develop a process for the microencapsulation of a PCM using biomass derived wall materials and a spray drying process. This involved the isolation of cellulose from wheat straw, size reduction of cellulose, design and testing of a laboratory scale spray dryer, and spray drying of a cellulose stabilized PCM emulsion. It was found that cellulose could effectively be isolated from wheat straw, and several methods for size reduction were promising for encapsulation. In addition, two spray dryer prototypes were developed, which were able to successfully spray dry during testing, however they had low solids recovery. Successful microencapsulation of the PCM in cellulose by spray drying appears to have occurred based on SEM analysis. Further work is needed to improve cellulose size reduction, emulsion formation for encapsulation, spray dryer performance and operation, as well as rigorous evaluation of the produced microcapsules.
Exploiting boundary states of imperfect spin chains for high-fidelity state transfer
Creators: name: Bruderer, M.
name: Franke, K.
name: Ragg, S.
name: Belzig, W.
name: Obreschkow, D.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study transfer of a quantum state through XX spin chains with static imperfections. We combine the two standard approaches for state transfer based on (i) modulated couplings between neighboring spins throughout the spin chain and (ii) weak coupling of the outermost spins to an unmodulated spin chain. The combined approach allows us to design spin chains with modulated couplings and localized boundary states, permitting high-fidelity state transfer in the presence of random static imperfections of the couplings. The modulated couplings are explicitly obtained from an exact algorithm using the close relation between tridiagonal matrices and orthogonal polynomials [Linear Algebr. Appl. 21, 245 (1978)]. The implemented algorithm and a graphical user interface for constructing spin chains with boundary states (spinGUIn) are provided as Supplemental Material.
description: 7 pages, 3 figures + spinGUIn description and Matlab files iepsolve.m, spinGUIn.fig, spinGUIn.p
Pseudorhombus elevatus Ogilby 1912
Creators: name: Zainal Abidin, Danial Hariz
name: Lavoué, Sébastien
name: Mohd Abu Hassan Alshari, Norli Fauzani
name: Mohd. Nor, Siti Azizah
name: A. Rahim, Masazurah
name: Mohammed Akib, Noor Adelyna
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Pleuronectiformes
Paralichthyidae
Pseudorhombus
Pseudorhombus elevatus

description: Pseudorhombus elevatus Ogilby, 1912 Figure 5G Material examined. MALAYSIA • 1, 186 mm TL; Kedah State, Kuala Kedah, Kuala Muda Whispering Market; 05.578°N, 100.341°E; 6 Dec. 2018; Danial H. Zainal Abidin, Norli F.M.A.H. Alshari leg.; USMFC (107) 00001.
description: Published as part of Zainal Abidin, Danial Hariz, Lavoué, Sébastien, Mohd Abu Hassan Alshari, Norli Fauzani, Mohd. Nor, Siti Azizah, A. Rahim, Masazurah & Mohammed Akib, Noor Adelyna, 2021, Ichthyofauna of Sungai Merbok Mangrove Forest Reserve, northwest Peninsular Malaysia, and its adjacent marine waters, pp. 601-631 in Check List 17 (2) on page 621, DOI: 10.15560/17.2.601
title: Adaptive PD Gains for Energy-Conscious Control in Physical Human-Robot Interaction
Creators: name: Saqib, Danyal
Publisher: name: Graduate Studies
Year: 2025
Subjects: subject: Compliant Control
subject: Physical Human-Robot Interaction (pHRI)
subject: Energy-Based Control
subject: Robotics

description: Safe physical human-robot interaction (pHRI) is an important area of research. The dominant control approach in this domain is the impedance control method. However, such control schemes may require force feedback when implemented explicitly, translating to a need for several external force sensors. Impedance control is also a coordinate-dependent scheme, meaning the direction of applied forces must be tracked. These drawbacks indicate the need for alternate control schemes that can ensure safe behavior during pHRI. An alternative to this is energy-based approaches. One such control method is the `energy tank' approach, which tries to limit the total energy of a robot using `virtual tanks'. Another energy-based control scheme is the `artificial potential field' method, where attractive artificial potential fields are calculated to track a reference position while simultaneously limiting the robot's total energy. However, such methods can become relatively complex to implement. Energy tank approaches use the idea of energy to maintain stability while dynamically changing impedance parameters. Potential field methods are also complex to implement, as they may require constant recalculation of potential fields. Practically, many robot developers still use Proportional-Derivative (PD) controllers as the mid-level controller of choice, to track reference trajectories. PD controllers have the advantage of being simple to implement and well-understood due to their extensive research and investigation. We hence propose an adaptive PD controller that can limit a robot's energy under any given limit to achieve safe pHRI, by extending these energy limitation concepts to PD controllers. The proportional and derivative gains of the controller change depending on the current energy of the robot. The proposed controller can limit both the kinetic and potential energy of the robot under any given limit, and the behavior of the controller can be shaped using various parameters. We construct a stability proof for the controller and obtain a condition to ensure the controller's stability. We tested the behavior and compliance of this controller on the TALOS Robot by PAL Robotics both in simulation and on the actual robot, verifying the expected safe and compliant behavior.
Photometric Calibration of the First 1.5 Years of the Pan-STARRS1 Survey
Creators: name: Schlafly, E. F.
name: Finkbeiner, D. P.
name: Juric, M.
name: Magnier, E. A.
name: Burgett, W. S.
name: Chambers, K. C.
name: Grav, T.
name: Hodapp, K. W.
name: Kaiser, N.
name: Kudritzki, R. -P.
name: Martin, N. F.
name: Morgan, J. S.
name: Price, P. A.
name: Rix, H. -W.
name: Stubbs, C. W.
name: Tonry, J. L.
name: Wainscoat, R. J.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We present a precise photometric calibration of the first 1.5 years of science imaging from the Pan-STARRS1 survey (PS1), an ongoing optical survey of the entire sky north of declination -30 degrees in five bands. Building on the techniques employed by Padmanabhan et al. (2008) in the Sloan Digital Sky Survey (SDSS), we use repeat PS1 observations of stars to perform the relative calibration of PS1 in each of its five bands, solving simultaneously for the system throughput, the atmospheric transparency, and the large-scale detector flat field. Both internal consistency tests and comparison against the SDSS indicate that we achieve relative precision of <10 mmag in g, r, and i_P1, and ~10 mmag in z and y_P1. The spatial structure of the differences with the SDSS indicates that errors in both the PS1 and SDSS photometric calibration contribute similarly to the differences. The analysis suggests that both the PS1 system and the Haleakala site will enable <1% photometry over much of the sky.
description: 16 pages, 9 figures (arxiv version updated to published version)
Review of attacks on health care facilities in six conflicts of the past three decades
Creators: name: Briody, Carolyn
name: Rubenstein, Leonard
name: Roberts, Leslie F.
name: Penney, Eamon
name: Keenan, William
name: Horbar, Jeffrey
Publisher: name: Columbia University
Year: 2018
Subjects: Medical care
Health facilities
War
Offenses against public safety
Electronic surveillance

description: Background
                In the ongoing conflicts of Syria and Yemen, there have been widespread reports of attacks on health care facilities and personnel. Tabulated evidence does suggest hospital bombings in Syria and Yemen are far higher than reported in other conflicts but it is unclear if this is a reporting artefact.

                Objective
                This article examines attacks on health care facilities in conflicts in six middle- to high- income countries that have occurred over the past three decades to try and determine if attacks have become more common, and to assess the different methods used to collect data on attacks. The six conflicts reviewed are Yemen (2015-Present), Syria (2011- Present), Iraq (2003–2011), Chechnya (1999–2000), Kosovo (1998–1999), and Bosnia and Herzegovina (1992–1995).

                Methods
                We attempted to get the highest quality source(s) with summary data of the number of facilities attacked for each of the conflicts. The only conflict that did not have summary data was the conflict in Iraq. In this case, we tallied individual reported events of attacks on health care.

                Results
                Physicians for Human Rights (PHR) reported attacks on 315 facilities (4.38 per month) in Syria over a 7-year period, while the Monitoring Violence against Health Care (MVH) tool launched later by the World Health Organization (WHO) Turkey Health Cluster reported attacks on 135 facilities (9.64 per month) over a 14-month period. Yemen had a reported 93 attacks (4.65 per month), Iraq 12 (0.12 per month), Chechnya > 24 (2.4 per month), Kosovo > 100 (6.67 per month), and Bosnia 21 (0.41 per month). Methodologies to collect data, and definitions of both facilities and attacks varied widely across sources.

                Conclusion
                The number of reported facilities attacked is by far the greatest in Syria, suggesting that this phenomenon has increased compared to earlier conflicts. However, data on attacks of facilities was incomplete for all of the conflicts examined, methodologies varied widely, and in some cases, attacks were not defined at all. A global, standardized system that allows multiple reporting routes with different levels of confirmation, as seen in Syria, would likely allow for a more reliable and reproducible documentation system, and potentially, an increase in accountability.
LSFD for Rician-Faded Cell-Free mMIMO Systems With Channel Aging and Hardware Impairments
Creators: name: Chattopadhyay, Anish
name: Tentu, Venkatesh
name: Amudala, Dheeraj Naidu
name: Budhiraja, Rohit
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We study the impact of channel aging on the uplink of a cell-free massive multiple-input multiple-output system with hardware impairments. We consider a dynamic analog-to-digital converter architecture at the access points (APs), and low-resolution digital-to-analog converters at the user equipments (UEs). We derive a closed-form spectral efficiency expression by considering i) practical spatially-correlated Rician channels; ii) hardware impairments at the APs and the UEs; iii) channel aging; and iv) large-scale fading decoding (LSFD). We show that LSFD can effectively mitigate the detrimental effects of i) channel aging for both low and high UE velocities; and ii) inter-user interference for low-velocity UEs but not for high-velocity UEs.
description: This paper is accepted for presentation in 2023 IEEE International Conference on Communications (ICC): Wireless Communications Symposium (IEEE ICC'23 - WC Symposium), 6 pages and 4 figures
Eleutheronema tetradactylum
Creators: name: Zainal Abidin, Danial Hariz
name: Lavoué, Sébastien
name: Mohd Abu Hassan Alshari, Norli Fauzani
name: Mohd. Nor, Siti Azizah
name: A. Rahim, Masazurah
name: Mohammed Akib, Noor Adelyna
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Actinopterygii
Perciformes
Polynemidae
Eleutheronema
Eleutheronema tetradactylum

description: Eleutheronema tetradactylum (Shaw, 1804) Figure 4F Material examined. MALAYSIA • 5, 221– 251 mm TL; Kedah State, Kuala Kedah, Kuala Muda Whispering Market; 05.578°N, 100.341°E; 6 Dec. 2018; Danial H. Zainal Abidin, Norli F.M.A.H. Alshari leg.; USMFC (68) 00005. • 2, 184– 202 mm TL; Kedah State, Kuala Kedah, Kuala Muda Whispering Market; 05.578°N, 100.341°E; 4 Mar. 2019; Danial H. Zainal Abidin, Norli F.M.A.H. Alshari leg.; USMFC (68) 00006.
description: Published as part of Zainal Abidin, Danial Hariz, Lavoué, Sébastien, Mohd Abu Hassan Alshari, Norli Fauzani, Mohd. Nor, Siti Azizah, A. Rahim, Masazurah & Mohammed Akib, Noor Adelyna, 2021, Ichthyofauna of Sungai Merbok Mangrove Forest Reserve, northwest Peninsular Malaysia, and its adjacent marine waters, pp. 601-631 in Check List 17 (2) on page 622, DOI: 10.15560/17.2.601
Additional file 4 of Circular RNA hsa_circ_0000326 acts as a miR-338-3p sponge to facilitate lung adenocarcinoma progression
Creators: name: Xu, Yuzhu
name: Yu, Jun
name: Huang, Zhenli
name: Fu, Bohua
name: Tao, Yu
name: Qi, Xuefei
name: Mou, Yong
name: Hu, Yinan
name: Wang, Yi
name: Cao, Yong
name: Jiang, Dingsheng
name: Xie, Jungang
name: Xu, Yongjian
name: Zhao, Jianping
name: Xiong, Weining
Publisher: name: figshare
Year: 2020
Subjects: Biophysics
Biochemistry
Medicine
Cell Biology
Molecular Biology
Pharmacology
Biological Sciences not elsewhere classified
Cancer
Mental Health

description: Additional file 4: Table S2. Dysregulated circRNAs in lung adenocarcinoma tissues compared with adjacent normal tissues.
title: Integrated Topological Quantum Photonic Insulator Circuits As a Source of Non-Classical Light
Creators: name: Rizvandi, Mehdi
Publisher: name: Science
Year: 2025
Subjects: subject: Optics

description: Topological Photonic Insulators (TPIs) have emerged as a unique platform for enabling robust edge state transport in photonic systems, immune to defects and scattering. This study investigates TPIs based on coupled microring resonators fabricated on Silicon-on-Insulator (SOI) substrates. These systems operate as Floquet insulators due to time-dependent coupling, modeled as periodically driven quantum systems. The topologically protected edge states demonstrate robustness against disorder and imperfections, confirming the effectiveness of this approach. Additionally, localized defects along edge states generate anomalous Floquet defect mode resonance (FDMR) a resonance mode along the edge state, enabling cavityless tunable resonance in silicon-based photonic systems. Enhanced photon pair generation through non-degenerate Spontaneous Four-Wave Mixing particularly in FDMR is achieved. Transitioning to Spontaneous Parametric Down Conversion is facilitated by Aluminum Nitride (AlN), a material with second-order nonlinearity. Electro-optic property of AlN allows stable, fast-modulating local defects, offering significant improvements over thermo-optic modulation utilized in silicon devices and advancing integrated photonics applications.
title: Functional Connectivity and Attention Abilities in Pediatric Populations
Creators: name: Harkness, Kelsey Dorian
Publisher: name: Graduate Studies
Year: 2025
Subjects: subject: Attention
subject: Executive Function
subject: Attention-Deficit/Hyperactivity Disorder (ADHD)
subject: Autism
subject: Functional MRI
subject: Neuroscience
subject: Psychology--Developmental

description: Autism and Attention-Deficit/Hyperactivity Disorder (ADHD) are highly heterogeneous neurodevelopmental disorders (NDDs) that are associated with attention and executive function (EF) deficits (Neely et al. 2016; Craig et al. 2016). Despite EF and attention being common deficits, groups of individuals with Autism and ADHD are not easily differentiated from each other or from controls by measures of attention and EF (Cai et al., 2021; Kushki et al., 2019). The process for diagnosis of Autism and ADHD is long and requires considerable resources. To make this process more efficient, a better understanding is required about the types of assessments and cognitive domains that contribute more or less to diagnostic status (which will be explored in Chapter 2). The search for neural correlates of Autism and ADHD, such as differences in functional connectivity (FC) related to diagnostic status, has resulted in highly inconsistent results (Cortese et al., 2021; Liloia et al., 2024). This could, in part, be due to the heterogeneity of symptom severity and presentation in Autism and ADHD (Luo et al. 2019; Dajani et al. 2016). By assessing the neural correlates of specific attention and EF measures transdiagnostically, there may be more consistency in results (Mooney et al., 2024). In the search for neural correlates it is also important to acknowledge the factors that could also influence the brain-behaviour relationship, such as stimulant medication (Schweren et al., 2016; Swanson et al., 2011) (further explored in Chapter 3), or diagnostic status (Zhang et al. 2024) (explored in Chapter 4). The lack of consideration for these factors could also contribute to a lack of convergence in results, thus it is important to understand the factors that could influence the brain-behaviour relationship.
Superfluid-Insulator transition of two-species bosons with spin-orbit coupling
Creators: name: Mandal, Saptarshi
name: Saha, Kush
name: Sengupta, K.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Motivated by recent experiments [Y.J. Lin {\it et al.}, Nature {\bf 471}, 83 (2011)], we study Mott phases and superfluid-insulator (SI) transitions of two-species ultracold bosonic atoms in a two-dimensional square optical lattice with nearest neighbor hopping amplitude $t$ in the presence of a spin-orbit coupling characterized by a tunable strength $γ$. Using both strong-coupling expansion and Gutzwiller mean-field theory, we chart out the phase diagrams of the bosons in the presence of such spin-orbit interaction. We compute the momentum distribution of the bosons in the Mott phase near the SI transition point and show that it displays precursor peaks whose position in the Brillouin zone can be varied by tuning $γ$. Our analysis of the critical theory of the transition unravels the presence of unconventional quantum critical points at $t/γ=0$ which are accompanied by emergence of an additional gapless mode in the critical region. We also study the superfluid phases of the bosons near the SI transition using a Gutzwiller mean-field theory which reveals the existence of a twisted superfluid phase with an anisotropic twist angle which depends on $γ$. Finally, we compute the collective modes of the bosons and point out the presence of reentrant SI transitions as a function of $γ$ for non-zero $t$. We propose experiments to test our theory.
description: v2, 13 pages, 9 figs; new section and figs
Predicting response to checkpoint inhibitors in melanoma beyond PD-L1 and mutational burden
Creators: name: Morrison, Carl
name: Pabla, Sarabjot
name: Conroy, Jeffrey M.
name: Nesline, Mary K.
name: Glenn, Sean T.
name: Dressman, Devin
name: Papanicolau-Sengos, Antonios
name: Burgher, Blake
name: Andreas, Jonathan
name: Giamo, Vincent
name: Qin, Moachun
name: Wang, Yirong
name: Lenzo, Felicia L.
name: Omilian, Angela
name: Bshara, Wiam
name: Zibelman, Matthew
name: Ghatalia, Pooja
name: Dragnev, Konstantin
name: Shirai, Keisuke
name: Madden, Katherine G.
name: Tafe, Laura J.
name: Shah, Neel
name: Kasuganti, Deepa
name: De La Cruz-Merino, Luis
name: Araujo, Isabel
name: Saenger, Yvonne M.
name: Bogardus, Margaret
name: Villalona-Calero, Miguel
name: Diaz, Zuanel
name: Day, Roger
name: Eisenberg, Marcia
name: Anderson, Steven M.
name: Puzanov, Igor
name: Galluzzi, Lorenzo
name: Gardner, Mark
name: Ernstoff, Marc S.
Publisher: name: Columbia University
Year: 2018
Subjects: Melanoma--Treatment
Cancer--Immunotherapy
Biochemical markers
Medicine

description: Background
                Immune checkpoint inhibitors (ICIs) have changed the clinical management of melanoma. However, not all patients respond, and current biomarkers including PD-L1 and mutational burden show incomplete predictive performance. The clinical validity and utility of complex biomarkers have not been studied in melanoma.

                Methods
                Cutaneous metastatic melanoma patients at eight institutions were evaluated for PD-L1 expression, CD8+ T-cell infiltration pattern, mutational burden, and 394 immune transcript expression. PD-L1 IHC and mutational burden were assessed for association with overall survival (OS) in 94 patients treated prior to ICI approval by the FDA (historical-controls), and in 137 patients treated with ICIs. Unsupervised analysis revealed distinct immune-clusters with separate response rates. This comprehensive immune profiling data were then integrated to generate a continuous Response Score (RS) based upon response criteria (RECIST v.1.1). RS was developed using a single institution training cohort (n = 48) and subsequently tested in a separate eight institution validation cohort (n = 29) to mimic a real-world clinical scenario.

                Results
                PD-L1 positivity ≥1% correlated with response and OS in ICI-treated patients, but demonstrated limited predictive performance. High mutational burden was associated with response in ICI-treated patients, but not with OS. Comprehensive immune profiling using RS demonstrated higher sensitivity (72.2%) compared to PD-L1 IHC (34.25%) and tumor mutational burden (32.5%), but with similar specificity.

                Conclusions
                In this study, the response score derived from comprehensive immune profiling in a limited melanoma cohort showed improved predictive performance as compared to PD-L1 IHC and tumor mutational burden.
Beers, Kaffi, and Schnaps: Different Grammatical Options for Restaurant Talk Coercions in Three Germanic Languages
Creators: name: Wiese, Heike
name: Maling, Joan
Publisher: name: Humboldt-Universität zu Berlin
Year: 2005
Subjects: subject: 400 Sprache
subject: 430 Deutsch und verwandte Sprachen

description: This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
description: This paper discusses constructions such as We'll have two beers and a coffee that are typically used for beverage orders in restaurant contexts. We compare the behavior of nouns in these constructions in three Germanic languages, English, Icelandic, and German, and take a closer look at the correlation of the morphosyntactic and semantic-conceptual changes involved. We show that even within such a restricted linguistic sample in closely related languages one finds three different grammatical options for the expression of the same conceptual transition. Our findings suggest an analysis of coercion as a genuinely semantic phenomenon, located on a level of semantic representations that serves as an interface between the conceptual and the grammatical systems and takes into account inter- and intralinguistic variations.Work on this paper was supported by NSF award BCS-0080377 to Boston University. The material is based in part on work done while the second author was serving as Director of the Linguistics Program at the U.S. National Science Foundation. Any opinions, findings, and conclusions expressed in this material are those of the authors, and do not necessarily reflect the views of the U.S. National Science Foundation. For comments on an earlier version, we would like to thank two anonymous JGL reviewers.
Automatic detection of boosted Higgs boson and top quark jets in an event image
Creators: name: Choi, Sang Kwan
name: Li, Jinmian
name: Zhang, Cong
name: Zhang, Rao
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We build a deep neural network based on the Mask R-CNN framework to detect the Higgs jets and top quark jets in any event image. We propose an algorithm to assign the top quark final states at the ground truth level so that the network can be trained in a supervised manner. A new jet branch is added to the network, which uses constituent information to predict the four-momenta of the original parton, thus intrinsically implementing the pileup mitigation. The network can predict both the shapes and the momenta of target jets. We show that the network surpasses the LorentzNet in top and Higgs tagging and the PELICAN network in momentum regression for certain cases, in terms of reconstruction efficiency and accuracy. We also show that the performance of the network does not degrade much when applied to events of a process different from the trained one and to events with overlapping jets.
description: 20 pages, 12 figures, version accepted for publication in PRD