cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Economics of Breast Cancer Screening, Genetic Testing, and Treatment
Creators: name: Sun, Li
Publisher: name: London School of Hygiene & Tropical Medicine
Year: 2019

description: Breast cancer is the most common female cancer worldwide. This thesis aims to evaluate the cost-effectiveness of breast cancer control across different healthcare contexts and estimate the costs of breast cancer treatment. Four case studies are presented providing detailed estimates of the cost-effectiveness of risk-based breast screening in urban China, the cost-effectiveness of population-based breast screening in rural China, the cost-effectiveness of panel genetic testing among unselected breast cancer patients in the UK and US, and cost of breast cancer treatment by stage at diagnosis in England. The economic evaluation studies on breast cancer screening show that in urban China, high-risk population-based screening for breast cancer is very likely to be cost-effective. But in rural China, breast screening among the general population reports uncertain costeffectiveness and could potentially harm women’s health due to false positives with the current screening tools. In a rural setting with such low breast cancer incidence, priority should be given to ensure that symptomatic women have proper access to diagnosis and treatment at an early stage as this will lead to mortality reductions without the usual screening harms. The economic evaluation on genetic testing based on a microsimulation model showed that unselected panel genetic-testing for all breast cancer patients is extremely costeffective compared to the current practice of family-history/clinical-criteria based genetic (BRCA)-testing for both UK and US health systems. This supports changing the current policy to expand genetic-testing to all women with breast cancer. Costs of breast cancer care increased with increasing stage of the disease at diagnosis in England. Considerable cost savings could be made if breast cancer was detected and treated earlier. Variations in breast cancer costs by age and region raise questions about the efficiency and consistency of breast cancer treatment patterns. Future research could be conducted by undertaking multiple imputation for missing data and censored-adjusted analysis.
title: Has the armed conflict in Afghanistan affected the rules on the conduct of hostilities?
Creators: name: Geiß, Robin
name: Siegrist, Michael
Publisher: name: Universität Potsdam
Year: 2019

description: The armed conflict in Afghanistan since 2001 has raised manifold questions pertaining to the humanitarian rules relative to the conduct of hostilities. In Afghanistan, as is often the case in so-called asymmetric conflicts, the geographical and temporal boundaries of the battlefield, and the distinction between civilians and fighters, are increasingly blurred. As a result, the risks for both civilians and soldiers operating in Afghanistan are high. The objective of this article is to assess whether - and if so how much - the armed conflict in Afghanistan has affected the application and interpretation of the principles of distinction, proportionality, and precaution - principles that form the core of legal rules pertaining to the conduct of hostilities.
description: Postprints der Universität Potsdam : Rechtswissenschaftliche Reihe, 4
Impact of surface roughness on liquid-liquid transition
Creators: name: Murata, Ken-ichiro
name: Tanaka, Hajime
Publisher: name: arXiv
Year: 2017
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Liquid-liquid transition (LLT) in single-component liquids is one of the most mysterious phenomena in condensed matter. So far this problem has attracted attention mainly from the purely scientific viewpoint. Here we report the first experimental study on an impact of surface nano-structuring on LLT by using a surface treatment called rubbing, which is the key technology for the production of liquid crystal displays. We find that such a rubbing treatment has a significant impact on the kinetics of liquid-liquid transition (LLT) of an isotropic molecular liquid, triphenyl phosphite. For a liquid confined between rubbed surfaces, surface-induced barrier-less formation of the liquid II phase is observed even in a metastable state, where there should be a barrier for nucleation of the liquid II phase in bulk. Thus, surface rubbing of substrates not only changes the ordering behavior, but also accelerates the kinetics significantly. This spatio-temporal pattern modulation of LLT can be explained by a wedge filling transition and the resulting drastic reduction of the nucleation barrier. However, this effect completely disappears in the unstable (spinodal) regime, indicating the absence of the activation barrier even for bulk LLT. This confirms the presence of nucleation-growth-type and spinodal-decomposition-type LLT, supporting that LLT is truly a first-order transition with criticality. Our finding also opens up a new way to control the kinetics of LLT of a liquid confined in a solid cell by structuring its surface on a mesoscopic lengthscale, which may contribute to making LLT useful for micro-fluidics and other industrial applications.
description: 14 pages, 5 figures in the main text; 2 pages, 2 figures in Supplementary Materials
Krisenstrategien in der Stahlindustrie des Ruhrgebiets
Creators: name: Lauschke, Karl
Publisher: name: Moving the Social
Year: 2015

description: This is the contribution "Krisenstrategien in der Stahlindustrie des Ruhrgebiets" of MTS 30 (2003).
description: Moving the Social, Vol 30 (2003): Strukturwandel aus vergleichender regionaler Perspektive nach 1945
Towards Pair Atomic Density Fitting for Correlation Energies with Benchmark Accuracy
Creators: name: Spadetto, Edoardo
name: Philipsen, Pier Herman Theodoor
name: Förster, Arno
name: Visscher, Lucas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Pair atomic density fitting (PADF) is a promising strategy to reduce the scaling with system size of quantum chemical methods for the calculation of the correlation energy like the direct random phase approximation (RPA) or second-order Møller-Plesset perturbation theory (MP2). PADF can however introduce large errors in correlation energies as the two-electron interaction energy is not guaranteed to be bounded from below. This issue can be partially alleviated by using very large fit sets, but this comes at the price of reduced efficiency and having to deal with near-linear dependencies in the fit set. In this work, we introduce an alternative methodology to overcome this problem that preserves the intrinsically favourable scaling of PADF. We first regularize the Fock matrix by projecting out parts of the basis set which gives rise to orbital products that are hard to describe by PADF. We then also apply this projector to the orbital coefficient matrix to improve the precision of PADF-MP2 and PADF-RPA. We systematically assess the accuracy of this new approach in a numerical atomic orbital framework using Slater Type Orbitals (STO) and correlation consistent Gaussian type basis sets up to quintuple-$ζ$ quality for systems with more than 200 atoms. For the small and medium systems in the S66 database we show the maximum deviation of PADF-MP2 and PADF-RPA relative correlation energies to DF-MP2 and DF-RPA reference results to be 0.07 and 0.14 kcal/mol respectively. When the new projector method is used, the errors only slightly increase for large molecules and also when moderately sized fit sets are used the resulting errors are well under control. Finally, we demonstrate the computational efficiency of our algorithm by calculating the interaction energies of non-covalently bound complexes with more than 1000 atoms and 20000 atomic orbitals at the RPA@PBE/CC-pVTZ level of theory.
Birational solutions to the set-theoretical 4-simplex equation
Creators: name: Konstantinou-Rizos, S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Mathematical Physics (math-ph)
subject: Quantum Algebra (math.QA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: The 4-simplex equation is a higher-dimensional analogue of Zamolodchikov's tetrahedron equation and the Yang--Baxter equation which are two of the most fundamental equations of mathematical physics. In this paper, we introduce a method for constructing 4-simplex maps, namely solutions to the set-theoretical 4-simplex equation, using Lax matrix refactorisation problems. Employing this method, we construct 4-simplex maps which at a certain limit give tetrahedron maps classified by Kashaev, Korepanov and Sergeev. Moreover, we construct a Kadomtsev--Petviashvili type of 4-simplex map. Finally, we introduce a method for constructing 4-simplex maps which can be restricted on level sets to parametric 4-simplex maps using Darboux transformations of integrable PDEs. We construct a nonlinear Schrödinger type parametric 4-simplex map which is the first parametric 4-simplex map in the literature.
description: Revised version, published in Physica D
title: Linearized Rigid-Body Static and Dynamic Stability of an Aircraft With a Bio-Inspired Rotating Empennage
Creators: name: Kohler, Austin J.
Publisher: name: Utah State University
Year: 2022

description: The United States Air Force (USAF) will likely seek to remove the vertical tail of next-generation fighter aircraft. This work seeks to characterize the static and dynamic stability and handling qualities of a vertical-tailless aircraft concept that would satisfy the USAF’s goal. This concept aircraft, one modified with a Bio-Inspired Rotating Empennage (BIRE), does not have a vertical tail, and is instead capable of rotating the horizontal tail about the fuselage axis for maneuvering. The dynamic characteristics of the BIRE-modified aircraft are compared to a baseline unmodified aircraft, similar to the F16, with a traditional vertical tail. Linearized aerodynamic models for each aircraft, based on previous work, are used alongside a set of coupled dynamic equations of motion for asymmetric aircraft, derived in this work, to estimate the dynamic response of each aircraft to disturbances from steady level and banked trim conditions.The static stability analysis suggests that modifying the baseline with a BIRE decreases the aircraft’s static pitch, roll and yaw stability. The dynamic stability analysis suggests that modifying the baseline aircraft with a BIRE; 1) slightly decreases the aircraft’s short period damping and slightly increases the aircraft’s short period frequency, 2) decreases the aircraft’s phugoid damping and slightly increases the aircraft’s phugoid frequency, 3) slightly increases the aircraft’s roll damping, 4) decreases the aircraft’s spiral damping for steady level flight and increases the aircraft’s spiral damping sensitivity to center of gravity location when banked, and 5) produces a non-traditional dutch roll mode. The handling quality analysis suggests that modifying the baseline aircraft with a BIRE decreases only the aircraft’s dutch roll handling quality levels.
Observability and Synchronization of Neuron Models
Creators: name: Aguirre, Luis A.
name: Portes, Leonardo L.
name: Letellier, Christophe
Publisher: name: arXiv
Year: 2017
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: Observability is the property that enables to distinguish two different locations in $n$-dimensional state space from a reduced number of measured variables, usually just one. In high-dimensional systems it is therefore important to make sure that the variable recorded to perform the analysis conveys good observability of the system dynamics. In the case of networks composed of neuron models, the observability of the network depends nontrivially on the observability of the node dynamics and on the topology of the network. The aim of this paper is twofold. First, a study of observability is conducted using four well-known neuron models by computing three different observability coefficients. This not only clarifies observability properties of the models but also shows the limitations of applicability of each type of coefficients in the context of such models. Second, a multivariate singular spectrum analysis (M-SSA) is performed to detect phase synchronization in networks composed by neuron models. This tool, to the best of the authors' knowledge has not been used in the context of networks of neuron models. It is shown that it is possible to detect phase synchronization i)~without having to measure all the state variables, but only one from each node, and ii)~without having to estimate the phase.
Optimal Allocation of Virtual Inertia and Droop Control for Renewable Energy in Stochastic Look-Ahead Power Dispatch
Creators: name: Shen, Yukang
name: Wu, Wenchuan
name: Sun, Shumin
name: Wang, Bin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: To stabilize the frequency of the renewable energy sources (RESs) dominated power system, frequency supports are required by RESs through virtual inertia emulation or droop control in the newly published grid codes. Since the long-term RES prediction involves significant errors, we need online configure the frequency control parameters of RESs in a rolling manner to improve the operation economics under the premise of stabilizing system frequency. To address this concern, this paper proposes a frequency constrained stochastic look-ahead power dispatch (FCS-LAPD) model to formulate the frequency control parameters of RESs and Energy Storage Systems (ESSs) as scheduling variables, which can optimally allocate the virtual inertia and droop coefficient of RESs and ESSs. In this FCS-LAPD model, the uncertainties of RESs are characterized using Gaussian Mixture Model (GMM). The required reserves are determined by frequency control parameters, and the reserve cost coefficients are adjusted properly to allocate the reserves according to the predicted power generation. Due to the nonlinearity of the frequency nadir constraint, a convex hull approximation method is proposed to linearize it with guaranteed feasibility. The proposed FCS-LAPD is ultimately cast as an instance of quadratic programming and can be efficiently solved. Case studies on modified IEEE 24-bus system and a provincial power system in China are conducted to show the effectiveness of the proposed model.
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
Creators: name: Yin, Xi
name: Liu, Xiaoming
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This paper explores multi-task learning (MTL) for face recognition. We answer the questions of how and why MTL can improve the face recognition performance. First, we propose a multi-task Convolutional Neural Network (CNN) for face recognition where identity classification is the main task and pose, illumination, and expression estimations are the side tasks. Second, we develop a dynamic-weighting scheme to automatically assign the loss weight to each side task, which is a crucial problem in MTL. Third, we propose a pose-directed multi-task CNN by grouping different poses to learn pose-specific identity features, simultaneously across all poses. Last but not least, we propose an energy-based weight analysis method to explore how CNN-based MTL works. We observe that the side tasks serve as regularizations to disentangle the variations from the learnt identity features. Extensive experiments on the entire Multi-PIE dataset demonstrate the effectiveness of the proposed approach. To the best of our knowledge, this is the first work using all data in Multi-PIE for face recognition. Our approach is also applicable to in-the-wild datasets for pose-invariant face recognition and achieves comparable or better performance than state of the art on LFW, CFP, and IJB-A datasets.
title: Examining Geographic Variations in Disaster Preparedness Across the United States and Puerto Rico
Creators: name: Cook, Forest Kane
Publisher: name: Utah State University
Year: 2022

description: Disaster events, such as floods, wildfires, and earthquakes increasingly cause damage to livelihoods, the economy, and the environment. Preparing for these events to occur is an important part of increasing resilience, however studies have found that households are generally not prepared for these events to happen. When it comes to identifying where these households are, there is typically no related tool or series of maps that can indicate location. In order to fill this gap, we use public survey data from FEMA to create estimates of household preparedness across a number of actions, such as developing an evacuation plan or participating in a practice drill, on the state, county, and zip-code levels, as well as along an urban-rural gradient. The results from this study find that Utah exhibits higher levels of preparedness than most states, while regionally the southeast near the Gulf of Mexico is more prepared than other regions in the U.S. We also found that rural places are generally more prepared than urban ones. Interactive maps for all actions and scales are provided online for users to find out how prepared their state, county or hometown are.
Sampling-based Motion Planning for Active Multirotor System Identification
Creators: name: Bähnemann, Rik
name: Burri, Michael
name: Galceran, Enric
name: Siegwart, Roland
name: Nieto, Juan
Publisher: name: arXiv
Year: 2016
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This paper reports on an algorithm for planning trajectories that allow a multirotor micro aerial vehicle (MAV) to quickly identify a set of unknown parameters. In many problems like self calibration or model parameter identification some states are only observable under a specific motion. These motions are often hard to find, especially for inexperienced users. Therefore, we consider system model identification in an active setting, where the vehicle autonomously decides what actions to take in order to quickly identify the model. Our algorithm approximates the belief dynamics of the system around a candidate trajectory using an extended Kalman filter (EKF). It uses sampling-based motion planning to explore the space of possible beliefs and find a maximally informative trajectory within a user-defined budget. We validate our method in simulation and on a real system showing the feasibility and repeatability of the proposed approach. Our planner creates trajectories which reduce model parameter convergence time and uncertainty by a factor of four.
description: Published at ICRA 2017. Video available at https://www.youtube.com/watch?v=xtqrWbgep5M
title: UX Research vom Eremiten zum integralen Unternehmensbestandteil - ein 4-Felder-Ansatz für die praktische Umsetzung von Research Operations
Creators: name: Wilczek, Sonja
name: Schneidermeier, Tim
Publisher: name: Gesellschaft für Informatik e.V. Und German UPA e.V.
Year: 2019
Subjects: subject: User Research
subject: User Experience Research
subject: UX
subject: UX Maturity
subject: Research Ops

description: Mit steigender Relevanz von Customer Centricity steigen auch die Anforderungen an unternehmensinterne Researcher/-innen. Der im Jahr 2018 neu definierte Ansatz ResearchOps soll Researcher/-innen dabei helfen, mittels Systematisierung Research skalierbarer zu machen. Wir haben in den vergangenen Jahren Unternehmen dabei begleitet, Research zum integrativen Unternehmensbestandteil werden zu lassen und dabei vier Handlungsfelder identifiziert, auf die der ResearchOps-Ansatz einzahlt: Strategie und Methodenspektrum, Prozesse und Infrastruktur, Nachhaltigkeit von Research-Ergebnissen sowie Austausch und Empowerment. Im vorliegenden Beitrag wird anhand zweier Case Studies beschrieben, wie mit Prozessen und Werkzeugen aus dem ResearchOps-Koffer den vier Feldern praktisch begegnet werden kann. Es zeigte sich, dass die Maßnahmen dazu beitragen den Buy-In von Research sowie die UX Maturity zu erhöhen. Es bleibt abzuwarten, wie sich der Ansatz ResearchOps als Berufsfeld entwickelt.
KAP-CQ39
Creators: name: Robledo, Dave Arthur
name: Maalihan, Celso G. Zara, Sherryl Montalbo, Norrie Gayeta, Abegail Gonzales,  Mary Grace Escarez, Erma D.
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 390405
subject: Educational technology and computing

description:  ChatGPT has gained popularity in Philippine educational settings due to its versatility and usefulness in educational activities. However, concerns have been raised about the ethical issues, academic dishonesty, and technology dependence associated with its use. To address these issues, this study aimed to develop and validate an instrument called KAP-CQ39 that assesses the knowledge, attitudes, and practices of preservice teachers regarding the use of ChatGPT. The study involved 18 experts and independent individuals as well as 206 preservice teachers. The instrument underwent rigorous testing for content validity, face validity, construct validity, and reliability, resulting in the final version of KAP-CQ39. Results showed that the instrument has acceptable content validity (CVR and CVI values > 0.78), face validity (IS > 1.5), construct validity (chi squared value of 897.564 (df=577, p<0.001) and internal consistency (overall Cronbach coefficient = 0.91). In conclusion, KAP-CQ39 can be a valuable tool for assessing the impact of ChatGPT on the Philippine educational system and can provide insights for educational policymakers regarding the use of artificial intelligence in education.
title: Variability of Thermospheric Zonal Winds Near Dawn and Dusk
Creators: name: Molina, Ivana M.
Publisher: name: Utah State University
Year: 2022

description: Winds in the upper atmosphere vary with time, location and geomagnetic activity among other causes. Understanding these changes is very important, because they affect the circulation and the behavior of the ionosphere, the ionized portion of the upper atmosphere. The ionosphere, in turn, affects technologies such as GPS and HF communication.
The Gravity field and steady-state Ocean Circulation Explorer (GOCE) mission provided dawn and dusk zonal neutral winds at an altitude of ∼260 km. GOCE measurements from low and mid-latitudes will be used to study the variability of thermospheric zonal winds.
The spatial and temporal structures in GOCE zonal winds were studied during geomagnetically quiet periods. Correlations between different points in the globe were computed during December solstice 2009 to 2012 and the year-to-year variability was investigated. December solstice 2009 and June solstice 2010 were also compared. Periodic structures in longitude were identified.
The effect of atmospheric tides in the GOCE zonal winds was also studied for these periods and the structures in longitude that they produce were analyzed. A year-to-year progression was recognized, for both dawn and dusk. The structures present were compared to model results from the Climatological Tidal Model of the Thermosphere (CTMT). The CTMT results show good agreement during dawn, and the variations produced by individual tidal components were studied using the model.
Finally, the evolution in time of the response of the GOCE zonal winds was investigated. The mean response was calculated using the variations obtained for 19 geomagnetic storms. During dawn, the perturbations are eastward for mid-higher geomagnetic latitudes in both hemispheres. For mid to low geomagnetic latitudes, westward variations are observed. During dusk, the perturbations for all latitudes are westward. It was determined that during dawn (dusk), the response in the GOCE zonal winds reaches the geomagnetic equator 12 (18) hours after the storm onset. These effects last until ∼27 hours.
title: Treason Town: Cities as Traitors During the U.S.-Mexican War
Creators: name: Foster, Kelsey
Publisher: name: Utah State University
Year: 2022

description: During the U.S.-Mexican War (1846-48) the U.S. army invaded Mexico from several fronts. The Mexican Army was unable to prevent U.S. troops marching into and occupying Mexico City, resulting in the transfer of a vast swath of territory from Mexico to the United States. Historians offer several explanations for Mexico's inability to repel this invasion, and one of them is the disunity of the Mexican nation. Evidence of this disunity can be seen in the response of some local leaders when they were confronted with the invading army: instead of fighting, they elected to surrender, allowing U.S. troops to occupy their town. This decision was viewed as treasonous by many Mexicans. However, local leaders were not motivated by any desire to overthrow their country; rather, their choices were prompted by localism: the prioritization of local community affairs over national affairs. By examining the war experience of two particular towns, La Paz, Baja California, and Santa Fe, Nuevo-Mexico, it becomes clear that localism was a significant factor during the U.S.-Mexican War. Furthermore, it becomes clear that an analysis of the relationship between the local community and the nation is crucial to fully understand not only historical facts, but human behaviors and identities.
Constraints on galactic outflows from the metallicity-stellar mass-SFR relation of EAGLE simulation and SDSS galaxies
Creators: name: Lin, Yuanye
name: Zu, Ying
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Stellar feedback-driven outflows regulate the stellar formation and chemical enrichment of galaxies, yet the underlying dependence of mass outflow rate on galaxy properties remains largely unknown. We develop a simple yet comprehensive non-equilibrium chemical evolution model~(NE-CEM) to constrain the mass-loading factor $η$ of outflows using the metallicity-stellar mass-SFR relation observed by SDSS at $z{=}0$. Our NE-CEM predicts the chemical enrichment by explicitly tracking both the histories of star formation and mass-loading. After exploring the EAGLE simulation, we discover a compact yet flexible model that accurately describes the average star formation histories of galaxies. Applying a novel method of chemically measuring $η$ to EAGLE, we find $η$ can be parametrised by its dependence on stellar mass and specific SFR as $\logη\propto M_*^αs{\mathrm{SFR}}^β$, with $α{=}{-}0.12$ and $β{=}0.32$ in EAGLE. Our chemically-inferred $η$ agrees remarkably well with the kinematic measurements by Mitchell et al. After extensive tests with EAGLE, we apply an NE-CEM Bayesian analysis to the SDSS data, yielding a tight constraint of $\log(η/0.631)=0.731{\pm}0.002\times(M_*/10^{9.5}M_{\odot})^{-0.222\pm0.004} (s{\mathrm{SFR}}/10^{-9.5}yr^{-1})^{0.078\pm0.003}$, in good agreement with the down-the-barrel measurements. Our best-fitting NE-CEM not only accurately describes the metallicity-stellar mass-SFR relation at $z{=}0$, but also successfully reproduce the so-called "fundamental metallicity relation'' at higher redshifts. Our results reveal that different galaxies form stars and enrich their gas in a non-equilibrium but strikingly coherent fashion across cosmic time.
description: 22 pages, 17 figures, with key results in Fig. 13, 15, & 16. Comments welcome! Fixed a typo in the \eta parameterization and relevant annotations in the figures. Conclusion unchanged
KAP-CQ39
Creators: name: Robledo, Dave Arthur
name: Maalihan, Celso G. Zara, Sherryl Montalbo, Norrie Gayeta, Abegail Gonzales,  Mary Grace Escarez, Erma D.
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 390405
subject: Educational technology and computing

description:  ChatGPT has gained popularity in Philippine educational settings due to its versatility and usefulness in educational activities. However, concerns have been raised about the ethical issues, academic dishonesty, and technology dependence associated with its use. To address these issues, this study aimed to develop and validate an instrument called KAP-CQ39 that assesses the knowledge, attitudes, and practices of preservice teachers regarding the use of ChatGPT. The study involved 18 experts and independent individuals as well as 206 preservice teachers. The instrument underwent rigorous testing for content validity, face validity, construct validity, and reliability, resulting in the final version of KAP-CQ39. Results showed that the instrument has acceptable content validity (CVR and CVI values > 0.78), face validity (IS > 1.5), construct validity (chi squared value of 897.564 (df=577, p<0.001) and internal consistency (overall Cronbach coefficient = 0.91). In conclusion, KAP-CQ39 can be a valuable tool for assessing the impact of ChatGPT on the Philippine educational system and can provide insights for educational policymakers regarding the use of artificial intelligence in education.
symQV: Automated Symbolic Verification of Quantum Programs
Creators: name: Bauer-Marquart, Fabian
name: Leue, Stefan
name: Schilling, Christian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Logic in Computer Science (cs.LO)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We present symQV, a symbolic execution framework for writing and verifying quantum computations in the quantum circuit model. symQV can automatically verify that a quantum program complies with a first-order specification. We formally introduce a symbolic quantum program model. This allows to encode the verification problem in an SMT formula, which can then be checked with a delta-complete decision procedure. We also propose an abstraction technique to speed up the verification process. Experimental results show that the abstraction improves symQV's scalability by an order of magnitude to quantum programs with 24 qubits (a 2^24-dimensional state space).
description: This is the extended version of a paper with the same title that appeared at FM 2023. Tool available at doi.org/10.5281/zenodo.7400321
Long coherence times for edge spins
Creators: name: Kemp, Jack
name: Yao, Norman Y.
name: Laumann, Christopher R.
name: Fendley, Paul
Publisher: name: arXiv
Year: 2017
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We show that in certain one-dimensional spin chains with open boundary conditions, the edge spins retain memory of their initial state for very long times. The long coherence times do not require disorder, only an ordered phase. In the integrable Ising and XYZ chains, the presence of a strong zero mode means the coherence time is infinite, even at infinite temperature. When Ising is perturbed by interactions breaking the integrability, the coherence time remains exponentially long in the perturbing couplings. We show that this is a consequence of an edge "almost" strong zero mode that almost commutes with the Hamiltonian. We compute this operator explicitly, allowing us to estimate accurately the plateau value of edge spin autocorrelator.
description: 13 pages, 13 figures; references added
title: A Theoretical Trade-Off Between Wave Drag and Sonic Boom Loudness Due to Equivalent Area Changes on a Supersonic Body
Creators: name: Dixon, Nolan L.
Publisher: name: Utah State University
Year: 2022

description: The NASA University Leadership Initiative (ULI) titled ”Adaptive Aerostructures for Revolutionary Civil Supersonic Transportation” consists of a team of university and industry partners studying the feasibility of reducing the perceived loudness of the sonic boom by introducing an adaptive geometry at localized regions of an aircraft’s outer-mold line. The Utah State University AeroLab is a member of this ULI team and has produced low-fidelity tools to predict the aerodynamic and boom loudness effects from localized changes to the geometry.
Such changes to the geometry affect both the sonic boom loudness and wave drag; however, the precise relationship between boom loudness and wave drag is not well understood for a morphing supersonic geometry. The current work utilizes an equivalent area approach and expresses this equivalent area using a Fourier sine series. An optimization routine was used to search for the Fourier coefficients that produce a minimum perceived level of decibels of the sonic boom for an optimized equivalent area distribution. The results for each candidate are compared against the Sears-Haack’s equivalent area, ground pressure signature, perceived noise, and wave drag. These tools were used to obtain a Pareto front of solutions to better understand the theoretical trade-off between wave drag and perceived noise on the ground as equivalent area changes on a supersonic geometry.
Brane Brick Models for the Sasaki-Einstein 7-Manifolds Y^{p,k}(CP^1 x CP^1) and Y^{p,k}(CP^2)
Creators: name: Franco, Sebastian
name: Ghim, Dongwook
name: Seong, Rak-Kyeong
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The 2d (0,2) supersymmetric gauge theories corresponding to the classes of Y^{p,k}(CP^1 x CP^1) and Y^{p,k}(CP^2) manifolds are identified. The complex cones over these Sasaki-Einstein 7-manifolds are non-compact toric Calabi-Yau 4-folds. These infinite families of geometries are the largest ones for Sasaki-Einstein 7-manifolds whose metrics, toric diagrams, and volume functions are known explicitly. This work therefore presents the largest classification of 2d (0,2) supersymmetric gauge theories corresponding to Calabi-Yau 4-folds with known metrics.
description: 42 pages, 21 figures, 1 table
title: A Comparison of the Effects of Varied Verbal Prompts Paired with Visual Prompts on Echoic Verbal Behavior with Minimally Verbal Students
Creators: name: Nielsen, Chelsea
Publisher: name: Utah State University
Year: 2022

description: Previous research conducted by Valentino, Shillingsburg, Conine and Powell (2012) has recommended that practitioners do not utilize the word “say” before or in an instruction to reduce the word “say” being echoed. The current study sought to extend previous research by including the word “say” and comparing it with the condition of not using the word “say”. Components compared included how frequently responses occurred and how long it took for a response to occur. Two participants were included in the study, but only one participant completed the study. Findings agreed with the recommendation made by Valentino, Shillingsburg, Conine and Powell (2012), that practitioners should not use the word “say” before or in an instruction.
title: Normative Evaluations of Resource Conditions: The Influence of Visitor Characteristics and Implications for Recreation Management in Urban-Proximate Parks
Creators: name: Nesbitt, Jordan E.
Publisher: name: Utah State University
Year: 2022

description: Urban-proximate parks and protected areas provide a unique recreation landscape to individuals living in and near urban centers. They have been shown to provide similar recreation experiences to traditionally studied parks and protected areas such as National Parks, National Forests and Wilderness areas. This study takes place in a set of four urban-proximate parks in Orange County, California, USA. These parks are designated as urban-proximate because they are located within 100 miles of an urban center with 1 million or more people. Using norm theory, a well vetted social science theory, this work sought to identify thresholds of acceptability for five social and ecological resource conditions; people at one time, bikes at one time (both a measure of crowding index), informal trail proliferation, recreation preferences for trail width and trail width as recreation impact. Using the recreation preference literature, we identified four visitor characteristics that may be influencing normative evaluations; gender, race, recreation activity type and local ecological knowledge. These four categories were then tested against the five resource conditions to test their influence on resource condition evaluations.
Chapter 1 will provide an overview of the existing literature pertaining to urbanproximate parks, diverse recreation visitation and the application of normative theory in the field of recreation research management. Chapter 2 is the first manuscript within this thesis which establishes evaluations and thresholds for the five aforementioned resource conditions and is formatted for submission to Landscape and Urban Planning. Chapter 3 is the second manuscript which identifies potential influential factors for these normative evaluations in order to provide managers with more detail on the evaluations of specific visitors. This chapter is formatted for submission to the Journal of Park and Recreation Administration. Lastly, Chapter 4 will conclude with a discussion and reflection on this research and the contributions it makes to the literature.
Does Outside-In Teaching Improve the Learning of Object-Oriented Programming?
Creators: name: Janke, Erica
name: Brune, Philipp
name: Wagner, Stefan
Publisher: name: arXiv
Year: 2017
Subjects: subject: Software Engineering (cs.SE)
subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: Object-oriented programming (OOP) is widely used in the software industry and university introductory courses today. Following the structure of most textbooks, such courses frequently are organised starting with the concepts of imperative and structured programming and only later introducing OOP. An alternative approach is to begin directly with OOP following the Outside-In teaching method as proposed by Meyer. Empirical results for the effects of Outside-In teaching on students and lecturers are sparse, however. We describe the conceptual design and empirical evaluation of two OOP introductory courses from different universities based on Outside-In teaching. The evaluation results are compared to those from a third course serving as the control group, which was taught OOP the "traditional" way. We evaluate the initial motivation and knowledge of the participants and the learning outcomes. In addition, we analyse results of the end-term exams and qualitatively analyse the results of interviews with the lecturers and tutors. Regarding the learning outcomes, the results show no signif- icant differences between the Outside-In and the "traditional" teaching method. In general, students found it harder to solve and implement algorithmic problems than to understand object oriented (OO) concepts. Students taught OOP by the Outside-In method, however, were less afraid that they would not pass the exam at the end of term and understood the OO paradigm more quickly. Therefore, the Outside-In method is no silver bullet for teaching OOP regarding the learning outcomes but has positive effects on motivation and interest.
description: 10 pages, 7 figures
Neural Embeddings of Graphs in Hyperbolic Space
Creators: name: Chamberlain, Benjamin Paul
name: Clough, James
name: Deisenroth, Marc Peter
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Neural embeddings have been used with great success in Natural Language Processing (NLP). They provide compact representations that encapsulate word similarity and attain state-of-the-art performance in a range of linguistic tasks. The success of neural embeddings has prompted significant amounts of research into applications in domains other than language. One such domain is graph-structured data, where embeddings of vertices can be learned that encapsulate vertex similarity and improve performance on tasks including edge prediction and vertex labelling. For both NLP and graph based tasks, embeddings have been learned in high-dimensional Euclidean spaces. However, recent work has shown that the appropriate isometric space for embedding complex networks is not the flat Euclidean space, but negatively curved, hyperbolic space. We present a new concept that exploits these recent insights and propose learning neural embeddings of graphs in hyperbolic space. We provide experimental evidence that embedding graphs in their natural geometry significantly improves performance on downstream tasks for several real-world public datasets.
description: 7 pages, 5 figures
Scale-invariance in soft gamma repeaters
Creators: name: Chang, Zhe
name: Lin, Hai-Nan
name: Sang, Yu
name: Wang, Ping
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The statistical properties of the soft gamma repeater SGR J1550--5418 are investigated carefully. We find that the cumulative distributions of fluence, peak flux and duration can be well fitted by a bent power law, while the cumulative distribution of waiting time follows a simple power law. In particular, the probability density functions of fluctuations of fluence, peak flux, and duration have a sharp peak and fat tails, which can be well fitted by a $q$-Gaussian function. The $q$ values keep approximately steady for different scale intervals, indicating a scale-invariant structure of soft gamma repeaters. Those results support that the origin of soft gamma repeaters is crustquakes of neutron stars with extremely strong magnetic fields.
description: 7 pages, 5 figures, 2 tables
Muon g-2 in MSSM Gauge Mediation Revisited
Creators: name: Yanagida, Tsutomu T.
name: Yokozaki, Norimi
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The Higgs boson of 125 GeV requires large stop masses, leading to the large $μ$-parameter in most cases of gauge mediation. On the other hand, the explanation for the muon $g-2$ anomaly needs small slepton and neutralino/chargino masses. Such disparity in masses may be obtained from a mass splitting of colored and non-colored messenger fields. However, even if the required small slepton and neutralino/chargino masses are realized, all parameter regions consistent with the muon g-2 are excluded by the recent updated ATLAS result on the wino search in the case that the messenger fields are in ${\bf 5}+\bar {\bf 5}$ representations of SU(5). It is also revealed that the messenger fields in ${\bf 10} + \overline{\bf 10}$ or ${\bf 24}$ representation can not explain the muon g-2 anomaly. We show, giving a simple example model, that the above confliction is solved if there is an additional contribution to the Higgs soft mass which makes the $μ$-parameter small. We also show that the required Higgs B-term for the electroweak symmetry breaking is consistently generated by radiative corrections from gaugino loops.
description: 13 pages, 6 figures, 1 Table, discussions and figures added
Quark number susceptibilities and equation of state at finite chemical potential in staggered QCD with Nt=8
Creators: name: Datta, Saumen
name: Gavai, Rajiv V.
name: Gupta, Sourendu
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We report the measurement of quark number susceptibilities (QNS) and their temperature dependence from simulations of QCD with two flavours of light dynamical staggered quarks at finite temperature on 8 * 32^3 lattices. From the radius of convergence of the Taylor expansion we estimate the critical end point. We use a Pade approximant to resum the series expansion and compute the equation of state at finite chemical potential, namely the baryon number density and its contribution to the pressure. We also report the isothermal compressibility of QCD matter at finite baryon density. Finally we explore the freezeout conditions for a measure of fluctuations. We examine some sources of systematic and statistical errors in all of these measurements.
description: 12 pages, 10 figures
Optimal Weibull Distribution I for Dose-Response Modelling of Theophylline Drug
Creators: name: KUPOLUSI, Joseph A
name: AKINDOLANI, Toluwalope
Publisher: name: Zenodo
Year: 2024
Subjects: Dose-Response model, Theophylline drug, Sensitivity Analysis, four parameters log-logistic model, Brain-Cousens hormesis model, Cedergreen-Ritz-Streibig modified log-logistic model, and Weibull distribution 1.

description: Dose-response model for complex systems is crucial for the treatment of diseases and drug discovery. Understanding the mechanism of drug action has become increasingly important due to the growth of large-scale biological data obtained through computational modelling. This study compared four Dose-response models namely; four parameters log-logistic model, Brain-Cousens hormesis model, Cedergreen-Ritz-Streibig modified log-logistic model, and Weibull distribution I to predict the best model for theophylline dosage and its corresponding physiological properties through sensitivity analysis and Bayesian information criteria (BIC). The findings revealed that Weibull distribution 1 outperformed other models with the least BIC value of 294.4214. Therefore, Weibull distribution 1 is the best model for modelling theophylline drug. Also, a sensitivity analysis was carried out that shows the robustness and optimality of the model. Weibull I model shows a significant variation of the model fit with a sharp decline at high dose. Therefore, Weibull I model is more sensitive to model Theophylline drug data.
The Quest for Solvable Multistate Landau-Zener Models
Creators: name: Sinitsyn, Nikolai A.
name: Chernyak, Vladimir Y.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Mathematical Physics (math-ph)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences

description: Recently, integrability conditions (ICs) in mutistate Landau-Zener (MLZ) theory were proposed [1]. They describe common properties of all known solved systems with linearly time-dependent Hamiltonians. Here we show that ICs enable efficient computer assisted search for new solvable MLZ models that span complexity range from several interacting states to mesoscopic systems with many-body dynamics and combinatorially large phase space. This diversity suggests that nontrivial solvable MLZ models are numerous. In addition, we refine the formulation of ICs and extend the class of solvable systems to models with points of multiple diabatic level crossing.
description: 26 pages, 12 figures