cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Multi-stage Resilience Management of Smart Power Distribution Systems: A Stochastic Robust Optimization Model
Creators: name: Dehghani, Nariman L.
name: Shafieezadeh, Abdollah
Publisher: name: arXiv
Year: 2022
Subjects: subject: Multiagent Systems (cs.MA)
subject: FOS: Computer and information sciences

description: Significant outages from weather and climate extremes have highlighted the critical need for resilience-centered risk management of the grid. This paper proposes a multi-stage stochastic robust optimization (SRO) model that advances the existing planning frameworks on two main fronts. First, it captures interactions of operational measures with hardening decisions. Second, it properly treats the multitude of uncertainties in planning. The SRO model coordinates hardening and system operational measures for smart power distribution systems equipped with distributed generation units and switches. To capture the uncertainty in the incurred damage by extreme events, an uncertainty set is developed by integrating probabilistic information of hurricanes with the performance of overhead structures. A novel probabilistic model for the repair time of damaged lines is derived to account for the uncertainty in the recovery process. A solution strategy based on the integration of a differential evolution algorithm and a mixed-integer solver is designed to solve the resilience maximization model. The proposed approach is applied to a modified IEEE 33-bus system with 485 utility poles and a 118-bus system with 1841 poles. The systems are mapped on the Harris County, TX, U.S. Results reveal that optimal hardening decisions can be significantly influenced by resilience operational measures.
Supplementary document for SIMPLE-LSFM: SImultaneous Multi-PLanE imaging Light-Sheet Fluorescence Microscopy for simultaneously acquiring neuronal activities at varying depths - 6209254.pdf
Creators: name: Jiao, Zhenfei
name: Zhou, Zhou
name: Chen, Zhongyun
name: Xie, Jinze
name: Mu, Yu
name: Du, Jiulin
name: Fu, Ling
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Optical Technology

description: This is the revised supplementary file in the second revision
Distortion becomes her : A poetic exploration of perceptual & sensorimotor dysfunctions
Creators: name: Chowdhury, Adiba
Publisher: name: The University of British Columbia
Year: 2025

description: "Distortion Becomes Her: A Poetic Exploration of Perceptual & Sensorimotor Dysfunctions" bridges neuroscience, psychology, and creative writing to examine how disruptions in brain function shape perception, movement, and identity. This creative research project presents a collection of original poems, each designed to reflect a specific neurological disorder, including blindsight, phantom limb syndrome, visual agnosia, hemispatial neglect, prosopagnosia, ideomotor apraxia, and Parkinson’s disease. The project aims to capture the lived experiences of individuals with these conditions, using poetic structures such as villanelle, prose poetry, haiku, and free verse to mirror the cognitive and motor disturbances associated with each disorder. The work is divided into two sections: perceptual dysfunctions and sensorimotor dysfunctions. Each poem is accompanied by an analysis that contextualizes the disorder within neuropsychological research, providing insight into the neural mechanisms, diagnostic challenges, treatment approaches, and rehabilitation strategies. The analyses incorporate findings from clinical studies and neuroscientific literature to enhance the reader’s understanding of how brain dysfunction impacts daily life. Additionally, the project examines how poetic devices and structural choices—such as repetition, fragmentation, and constrained forms—echo the disordered neural processes they represent, offering a creative yet informative lens on these conditions. This chaplet emphasizes the power of language and narrative in making complex scientific concepts more accessible and emotionally resonant. By combining artistic expression with empirical evidence, "Distortion Becomes Her" fosters a deeper appreciation of the resilience of individuals navigating neurological impairment. This project highlights not only the struggles associated with perceptual and motor dysfunctions but also the potential for adaptation and recovery. It serves as a reminder that even in the face of cognitive and motor disruptions, individuals continue to fight for agency, connection, and understanding. The ability of the brain to rewire, heal, and adjust is reflected in both the scientific and poetic elements of this work, underscoring the profound adaptability of the human spirit. At its core, this collection was written to bridge the gap between scientific knowledge and empathy, allowing readers to not only understand neurological conditions but also feel their impact on a deeply personal level.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de Agronomía de la Universidad Central del Ecuador.
Creators: name: Maribel Yasig Yaguachi, Alynna
Publisher: name: unknown
Year: 2023
Subjects: subject: Universidad Central del Ecuador

description: El presente artículo da a conocer el resultado de cuatro enfoques de aprendizaje de un grupo de estudiantes de la carrera de Ciencias Agrícolas (Agronomía) de la Universidad Central del Ecuador para así poder determinar el poco interés de los investigadores sobre la información educativa en ciencias agropecuarias que con esto dio un gran paso a una buena investigación. En esto también abarca la estrategia de cada uno de los estudiantes para así poder asimilar sus conocimientos es decir que puedan retener la mayor información posible; para esto se usó el cuestionario de Procesos de Estudio - Revisado R-SPQ-2F que consiste en la aplicación de forma virtual y voluntaria por medio de la página Google Drive.
ESTUDIO DE LOS ENFOQUES DE APRENDIZAJE EN CUATRO COHORENTES DE ESTUDIANTES DE AGRONOMÍA DE L UNIVERSIDAD CENTRAL
Creators: name: Gualotuña, Salet
Publisher: name: unknown
Year: 2023

description: En el presente ensayo se da a conocer el resultado de una encuesta de enfoques de aprendizaje en cuatro cohortes de estudiantes de agricultura. Este estudio es importante debido al bajo interés de los investigadores en la investigación educativa en agricultura. El instrumento utilizado fue el Cuestionario de Procesos de Aprendizaje – Revisado R-SPQ-2F, el cual se aplicó de manera virtual y voluntaria a través de la utilidad Google Drive. La muestra estuvo conformada por 79 estudiantes de la cohorte de marzo de 2015. 66 estudiantes de la cohorte de octubre de 2015. Había 75 estudiantes en la cohorte de abril de 2016 y 45 estudiantes en la cohorte de octubre de 2016, y se vincularon los enfoques de aprendizaje logrados por los estudiantes entre las cohortes. Los resultados muestran que la mayoría de los participantes eligieron el enfoque de aprendizaje profundo. Los enfoques de aprendizaje profundo se caracterizan por una exploración del significado de lo que se aprende, un alto nivel de interés intrínseco y una internalización del aprendizaje.
ESTUDIO DE LOS ENFOQUES DE APRENDIZAJE EN CUATRO COHORENTES DE ESTUDIANTES DE AGRONOMÍA DE L UNIVERSIDAD CENTRAL
Creators: name: Gualotuña, Salet
Publisher: name: Humanities Commons
Year: 2023

description: En el presente ensayo se da a conocer el resultado de una encuesta de enfoques de aprendizaje en cuatro cohortes de estudiantes de agricultura. Este estudio es importante debido al bajo interés de los investigadores en la investigación educativa en agricultura. El instrumento utilizado fue el Cuestionario de Procesos de Aprendizaje – Revisado R-SPQ-2F, el cual se aplicó de manera virtual y voluntaria a través de la utilidad Google Drive. La muestra estuvo conformada por 79 estudiantes de la cohorte de marzo de 2015. 66 estudiantes de la cohorte de octubre de 2015. Había 75 estudiantes en la cohorte de abril de 2016 y 45 estudiantes en la cohorte de octubre de 2016, y se vincularon los enfoques de aprendizaje logrados por los estudiantes entre las cohortes. Los resultados muestran que la mayoría de los participantes eligieron el enfoque de aprendizaje profundo. Los enfoques de aprendizaje profundo se caracterizan por una exploración del significado de lo que se aprende, un alto nivel de interés intrínseco y una internalización del aprendizaje.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de Agronomía de la Universidad Central del Ecuador
Creators: name: David Bedon, Jesus
Publisher: name: unknown
Year: 2023

description: Ha evolucionado desde las décadas de 1950 y 1960.El concepto de estilos de aprendizaje (psicología del comportamiento) y métodos de los años setenta el Aprendizaje (psicología cognitiva), varios matices por varios autores pasaron por dos elecciones extremas.
Infinite bound states and $1/n$ energy spectrum induced by a Coulomb-like potential of type III in a flat band system
Creators: name: Zhang, Yi-Cai
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Other Condensed Matter (cond-mat.other)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: In this work, we investigate the bound states in a one-dimensional spin-1 flat band system with a Coulomb-like potential of type III, which has a unique non-vanishing matrix element in basis $|1\rangle$. It is found that, for such a kind of potential, there exists infinite bound states. Near the threshold of continuous spectrum, the bound state energy is consistent with the ordinary hydrogen-like atom energy level formula with Rydberg correction. In addition, the flat band has significant effects on the bound states. For example, there are infinite bound states which are generated from the flat band. Furthermore, when the potential is weak, the bound state energy is proportional to the Coulomb-like potential strength $α$. When the bound state energies are very near the flat band, they are inversely proportional to the natural number $n$ (e.g., $E_n\propto 1/n, n=1,2,3,...$). Further we find that the energy spectrum can be well described by quasi-classical approximation (WKB method). Finally, we give a critical potential strength $α_c$ at which the bound state energy reaches the threshold of continuous spectrum. \textbf{After crossing the threshold, the bound states in the continuum (BIC) may exist in such a flat band system.
description: arXiv admin note: text overlap with arXiv:2205.07386
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de Agronomía de la Universidad Central del Ecuador
Creators: name: David Bedon, Jesus
Publisher: name: Humanities Commons
Year: 2023

description: Ha evolucionado desde las décadas de 1950 y 1960.El concepto de estilos de aprendizaje (psicología del comportamiento) y métodos de los años setenta el Aprendizaje (psicología cognitiva), varios matices por varios autores pasaron por dos elecciones extremas.
Theoretically Accurate Regularization Technique for Matrix Factorization based Recommender Systems
Creators: name: Wang, Hao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Regularization is a popular technique to solve the overfitting problem of machine learning algorithms. Most regularization technique relies on parameter selection of the regularization coefficient. Plug-in method and cross-validation approach are two most common parameter selection approaches for regression methods such as Ridge Regression, Lasso Regression and Kernel Regression. Matrix factorization based recommendation system also has heavy reliance on the regularization technique. Most people select a single scalar value to regularize the user feature vector and item feature vector independently or collectively. In this paper, we prove that such approach of selecting regularization coefficient is invalid, and we provide a theoretically accurate method that outperforms the most widely used approach in both accuracy and fairness metrics.
Ensayo- Estudio de los enfoques de aprendizaje en cuatro cohortes
Creators: name: Loachamin, Karen
Publisher: name: unknown
Year: 2023

description: Los estudiantes utilizan esta herramienta para poder adquirir e interiorizar los conocimientos de una mejor forma, y así poder ponerlos en práctica, existen dos elementos muy importantes que intervienen en el proceso de aprendizaje de los estudiantes, estos son: La motivación del estudiante, es decir, debido a que el estudiante se esfuerza para adquirir cierto conocimiento, qué herramienta podría utilizar para poder entender de una mejor manera, motivándose así por ser mejor cada día, el segundo elemento son las herramientas de aprendizaje, cabe mencionar que, cada persona entiende las cosas de manera diferente, es por eso que cada estudiante podría utilizar diferentes estrategias de aprendizaje las cuales satisfagan se acomoden a su necesidad.
Ensayo- Estudio de los enfoques de aprendizaje en cuatro cohortes
Creators: name: Loachamin, Karen
Publisher: name: Humanities Commons
Year: 2023

description: Los estudiantes utilizan esta herramienta para poder adquirir e interiorizar los conocimientos de una mejor forma, y así poder ponerlos en práctica, existen dos elementos muy importantes que intervienen en el proceso de aprendizaje de los estudiantes, estos son: La motivación del estudiante, es decir, debido a que el estudiante se esfuerza para adquirir cierto conocimiento, qué herramienta podría utilizar para poder entender de una mejor manera, motivándose así por ser mejor cada día, el segundo elemento son las herramientas de aprendizaje, cabe mencionar que, cada persona entiende las cosas de manera diferente, es por eso que cada estudiante podría utilizar diferentes estrategias de aprendizaje las cuales satisfagan se acomoden a su necesidad.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de Agronomía de la Universidad Central del Ecuador
Creators: name: Garcés, Daniel
Publisher: name: unknown
Year: 2023

description: A nivel de estudiante, se reconoce que existen, o podemos encontrar, diversos enfoques y estilos de aprendizaje. Sabiendo que el enfoque se refiere a la capacidad de asimilar los conocimientos de manera coherente y eficaz, y que con estos fundamentos se puede generar un cambio personal en su formación académica; ya que los seres humanos tenemos diferentes formas de aprender y estilos propios para almacenar información que nos sirve de entrenamiento a cada uno de nosotros, no de forma mecánica, sino interiorizándola en lo más profundo de nuestros sentidos.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de Agronomía de la Universidad Central del Ecuador
Creators: name: Garcés, Daniel
Publisher: name: Humanities Commons
Year: 2023

description: A nivel de estudiante, se reconoce que existen, o podemos encontrar, diversos enfoques y estilos de aprendizaje. Sabiendo que el enfoque se refiere a la capacidad de asimilar los conocimientos de manera coherente y eficaz, y que con estos fundamentos se puede generar un cambio personal en su formación académica; ya que los seres humanos tenemos diferentes formas de aprender y estilos propios para almacenar información que nos sirve de entrenamiento a cada uno de nosotros, no de forma mecánica, sino interiorizándola en lo más profundo de nuestros sentidos.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de agronomía de la Universidad Central del Ecuador
Creators: name: Jordana Lechón Catota, Emily
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Agronomy

description: Se ha realizado un estudio de cómo los estudiantes de la Universidad Central del Ecuador de la facultad de Ciencias Agrícolas especialmente de la carrera de Agronomía cual es el enfoque que le dan a sus estudios o la importancia que le dan a su educación para que puedan tener un conocimiento apto de lo que están estudiando.
Supplementary document for Millihertz Magnetic Resonance Spectroscopy Combining Heterodyne Readout Based on Solid-spin Sensors - 6209289.pdf
Creators: name: Fan, Pengcheng
name: Zhang, Jixing
name: Cui, Zhiying
name: Xu, Lixia
name: Bian, Guodong
name: Li, Mingxin
name: yuan, heng
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Additional details of system Hamiltonian, the evolution of states, the theory of the heterodyne readout, experimental methods and comparison of this work with the state-of-art results.
Making Video Quality Assessment Models Sensitive to Frame Rate Distortions
Creators: name: Madhusudana, Pavan C.
name: Birkbeck, Neil
name: Wang, Yilin
name: Adsumilli, Balu
name: Bovik, Alan C.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Multimedia (cs.MM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: We consider the problem of capturing distortions arising from changes in frame rate as part of Video Quality Assessment (VQA). Variable frame rate (VFR) videos have become much more common, and streamed videos commonly range from 30 frames per second (fps) up to 120 fps. VFR-VQA offers unique challenges in terms of distortion types as well as in making non-uniform comparisons of reference and distorted videos having different frame rates. The majority of current VQA models require compared videos to be of the same frame rate, but are unable to adequately account for frame rate artifacts. The recently proposed Generalized Entropic Difference (GREED) VQA model succeeds at this task, using natural video statistics models of entropic differences of temporal band-pass coefficients, delivering superior performance on predicting video quality changes arising from frame rate distortions. Here we propose a simple fusion framework, whereby temporal features from GREED are combined with existing VQA models, towards improving model sensitivity towards frame rate distortions. We find through extensive experiments that this feature fusion significantly boosts model performance on both HFR/VFR datasets as well as fixed frame rate (FFR) VQA databases. Our results suggest that employing efficient temporal representations can result much more robust and accurate VQA models when frame rate variations can occur.
Asymptomatic left renal vein aneurysm with thrombosis
Creators: name: Tonolini, Massimo
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Kidney
subject: CT
subject: Diagnostic procedure
subject: Aneurysms

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: female, 64 years
description: Clinical History: A woman with history of chronic headache, hypertension and dyslipidemia on medical treatment, presented to emergency department complaining of malaise, nausea and vague abdominal pain. Physical examination revealed low-grade fever, mild pelvic tenderness ... Final Diagnosis: Partially thrombosed primary aneurysm of the left renal vein.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de agronomía de la Universidad Central del Ecuador
Creators: name: Jordana Lechón Catota, Emily
Publisher: name: unknown
Year: 2023
Subjects: subject: Agronomy

description: Se ha realizado un estudio de cómo los estudiantes de la Universidad Central del Ecuador de la facultad de Ciencias Agrícolas especialmente de la carrera de Agronomía cual es el enfoque que le dan a sus estudios o la importancia que le dan a su educación para que puedan tener un conocimiento apto de lo que están estudiando.
Maximum Torque per Ampere Control of Brushless DC Motors with Large Winding Time Constant and Hall-Sensor Misalignment
Creators: name: Phung, Mark
Publisher: name: The University of British Columbia
Year: 2025

description: Brushless DC (BLDC) motors with Hall-effect sensors are ubiquitous in industrial, robotics, and mobility applications due to their high efficiency, lower cost, and superior power density. A typical BLDC motor is driven by a voltage-source inverter (VSI) using the common six-step 120º commutation logic, where the Hall sensor signals estimate the rotor position at discrete intervals. However, Hall-sensor misalignment in many cost-effective BLDC motors leads to unbalanced phase currents and increased torque ripple. Additionally, BLDC motors with large winding time constants have a prolonged phase current commutation period that deviates the system from optimal maximum torque-per-Ampere (MTPA) operation. This thesis builds on previous research to propose a new method combining a Hall-sensor filter and dynamic MTPA PI controller for realtime correction of the advance firing angle. The proposed method is verified using detailed machine simulation and implemented on a modern microcontroller. Experimental results demonstrate significant improvement on a typical industrial BLDC motor with substantial Hallsensor misalignment and large winding inductance.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de agronomía de la Universidad Central del Ecuador.
Creators: name: Jordana Lechón Catota, Emily
Publisher: name: unknown
Year: 2023
Subjects: subject: Agronomy

description: Se ha realizado un estudio de cómo los estudiantes de la Universidad Central del Ecuador de la facultad de Ciencias Agrícolas especialmente de la carrera de Agronomía cual es el enfoque que le dan a sus estudios o la importancia que le dan a su educación para que puedan tener un conocimiento apto de lo que están estudiando.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de agronomía de la Universidad Central del Ecuador.
Creators: name: Jordana Lechón Catota, Emily
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Agronomy

description: Se ha realizado un estudio de cómo los estudiantes de la Universidad Central del Ecuador de la facultad de Ciencias Agrícolas especialmente de la carrera de Agronomía cual es el enfoque que le dan a sus estudios o la importancia que le dan a su educación para que puedan tener un conocimiento apto de lo que están estudiando.
Design-based estimators of distribution function in ranked set sampling with an application
Creators: name: Sevil, Yusuf Can
name: Yildiz, Tugba Ozkal
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: G.3
subject: 62G30, 62D05, 65C05, 62P12

description: Empirical distribution functions (EDFs) based on ranked set sampling (RSS) and its modifications have been examined by many authors. In these studies, the proposed estimators have been investigated for infinite population setting. However, developing EDF estimators in finite population setting would be more valuable for areas such as environmental, ecological, agricultural, biological, etc. This paper introduces new EDF estimators based on level-0, level-1 and level-2 sampling designs in RSS. Asymptotic properties of the new EDF estimators have been established. Numerical results have been obtained for the case when ranking is imperfect under different distribution functions. It has been observed that level-2 sampling design provides more efficient EDF estimator than its counterparts of level-0, level-1 and simple random sampling. In real data application, we consider a pointwise estimate of distribution function and estimation of the median of sheep's weights at seven months using RSS based on level-2 sampling design.
description: This article has been accepted for publication in Statistics, published by Taylor & Francis
Data Management Plans
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Research--Data processing

description: Whatever form your research takes you will be using, collecting and generating a large volume of data. It is important to have a plan to manage this information, not just to help you work more efficiently but because many funders demand evidence of a plan before you start your project. This session will introduce you to data management plans, discuss their key components, demonstrate tools which can help you create a plan and guide you through the process of planning for your project.
Data Management Plans
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2023
Subjects: subject: Research--Data processing

description: Whatever form your research takes you will be using, collecting and generating a large volume of data. It is important to have a plan to manage this information, not just to help you work more efficiently but because many funders demand evidence of a plan before you start your project. This session will introduce you to data management plans, discuss their key components, demonstrate tools which can help you create a plan and guide you through the process of planning for your project.
Additional file 1 of Maternal zinc alleviates tert-butyl hydroperoxide-induced mitochondrial oxidative stress on embryonic development involving the activation of Nrf2/PGC-1α pathway
Creators: name: Huang, Liang
name: Gao, Wei
name: He, Xuri
name: Yuan, Tong
name: Zhang, Huaqi
name: Zhang, Xiufen
name: Zheng, Wenxuan
name: Wu, Qilin
name: Liu, Ju
name: Wang, Wence
name: Yang, Lin
name: Zhu, Yongwen
Publisher: name: figshare
Year: 2023
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Environmental Sciences not elsewhere classified
subject: Computational Biology

description: Additional file 1: Table S1. Composition and nutrient levels of the semi-purified basal diet for laying broiler breeders during the Zn depletion period and experimental period (as-fed basis).
Mitigating Misaligned Hall Sensors in Brushless DC Motors Using a Calibration Routine for Improved Fast Electromechanical Transients
Creators: name: Hasman, Matthew
Publisher: name: The University of British Columbia
Year: 2025

description: Hall-sensor-controlled brushless DC (BLDC) motors are commonly used in many applications due to their low cost and simple control. In a typical BLDC motor, a permanent magnet synchronous machine (PMSM) is controlled by a voltage source inverter (VSI) using the Hall sensor signals. Ideally, the three Hall sensors are spaced 120 electrical degrees apart. However, due to manufacturing tolerances, the sensors’ actual position may differ, resulting in uneven conduction intervals and degradation of motor performance. Previous research proposed averaging the Hall sensor signals to mitigate the misaligned Hall sensors and achieve a steady state performance close to ideal. However, such averaging filters have a memory and may degrade the dynamic performance in fast transients. To enable fast dynamic performance, this thesis proposes a calibration routine that identifies the errors and records the necessary correction values in a lookup table. The stored correction angles from the lookup table are then applied to the Hall sensor signals at run time, which removes the delay present in the averaging filter method and significantly improves the dynamic performance of the BLDC motors during fast electromechanical transients.
Proton Compton Scattering from Linearly Polarized Gamma Rays
Creators: name: Li, X.
name: Ahmed, M. W.
name: Banu, A.
name: Bartram, C.
name: Crowe, B.
name: Downie, E. J.
name: Emamian, M.
name: Feldman, G.
name: Gao, H.
name: Godagama, D.
name: Grießhammer, H. W.
name: Howell, C. R.
name: Karwowski, H. J.
name: Kendellen, D. P.
name: Kovash, M. A.
name: Leung, K. K. H.
name: Markoff, D. M.
name: McGovern, J. A.
name: Mikhailov, S.
name: Pywell, R. E.
name: Sikora, M. H.
name: Silano, J. A.
name: Sosa, R. S.
name: Spraker, M. C.
name: Swift, G.
name: Wallace, P.
name: Weller, H. R.
name: Whisnant, C. S.
name: Wu, Y. K.
name: Zhao, Z. W.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Differential cross sections for Compton scattering from the proton have been measured at scattering angles of $55^\circ$, $90^\circ$, and $125^\circ$ in the laboratory frame using quasimonoenergetic linearly (circularly) polarized photon beams with a weighted mean energy value of 83.4\,MeV (81.3\,MeV). These measurements were performed at the High Intensity Gamma-Ray Source facility at the Triangle Universities Nuclear Laboratory. The results are compared to previous measurements and are interpreted in the chiral effective field theory framework to extract the electromagnetic dipole polarizabilities of the proton, which gives $α_{E1}^p = 13.8\pm1.2_{\rm stat}\pm0.1_{\rm BSR}\pm0.3_{\rm theo}, β_{M1}^p = 0.2\mp1.2_{\rm stat}\pm0.1_{\rm BSR}\mp0.3_{\rm theo}$ in units of 10$^{-4}$\, fm$^3$.
description: 6 pages, 4 figures. Version identical to the published letter
Copyright and Creative Commons
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2022
Subjects: subject: Copyright
subject: Creative Commons (Organization)

description: From fair dealing to sharing your research online it seems that nothing with copyright is ever simple. There are few black and white rules about copyright but there can be serious consequences for getting things wrong! This session covers the basics of UK copyright law and how these impact researchers such as dealing with third party materials, seeking permissions and how to manage risk.
Copyright and Creative Commons
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2022
Subjects: subject: Copyright
subject: Creative Commons (Organization)

description: From fair dealing to sharing your research online it seems that nothing with copyright is ever simple. There are few black and white rules about copyright but there can be serious consequences for getting things wrong! This session covers the basics of UK copyright law and how these impact researchers such as dealing with third party materials, seeking permissions and how to manage risk.
Creating an Effective Research Poster
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2023
Subjects: subject: Communication in science

description: Research posters are a great way to communicate your project to an interested audience, but they are not just an excuse to cram an entire article onto a single sheet of paper! This session will cover what it takes to design and present a research poster including what to include, accessibility concerns, using illustrations to make an impact and presenting both in-person and online.
Discrete App Simulator : A Simulator for Experimenting with Response Time Parameters for a Serverless Environment
Creators: name: Balashov, Natalie
Publisher: name: The University of British Columbia
Year: 2025

description: Serverless is an increasingly popular application deployment option offered by cloud providers, but one that offers many challenges in terms of resource management and system fine-tuning. With the recent release of real workload traces that provide insights into serverless application invocation patterns, simulators have gained traction as a method for evaluating the effectiveness of serverless environments. However, most simulators to date have focused on specific cloud provider environments that use container-based or Function as a Service deployments. This work introduces Discrete App Simulator, a simple and highly-customizable simulator built in Python on top of the SimPy discrete simulation framework that provides a convenient tool for evaluating different scheduling and load-balancing policies in the context of a multi-tenant web application hosting service, regardless of the serverless cluster topology or deployed instance type. The simulator offers the opportunity to efficiently run many simulations of serverless environments with various system parameters and workload patterns, with the aim of discerning potential areas of optimization or workload types that may cause system failure.
Additional file 2 of Maternal zinc alleviates tert-butyl hydroperoxide-induced mitochondrial oxidative stress on embryonic development involving the activation of Nrf2/PGC-1α pathway
Creators: name: Huang, Liang
name: Gao, Wei
name: He, Xuri
name: Yuan, Tong
name: Zhang, Huaqi
name: Zhang, Xiufen
name: Zheng, Wenxuan
name: Wu, Qilin
name: Liu, Ju
name: Wang, Wence
name: Yang, Lin
name: Zhu, Yongwen
Publisher: name: figshare
Year: 2023
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Environmental Sciences not elsewhere classified
subject: Computational Biology

description: Additional file 2: Table S2. Nucleotide sequences of specific primers.
Peer Review
Creators: name: Sewell, Claire
Publisher: name: unknown
Year: 2023
Subjects: subject: Scholarly publishing
subject: Peer review

description: Peer review – the formal assessment process for published academic research – provides a good opportunity for researchers at any stage to get involved in the wider academic conversation. It helps you to develop skills including critical reading, giving appropriate feedback and can help to enhance your own academic writing to improve your chances at publication. This session will outline the different types of peer review, how to get involved in the process, what typical reviews look for and how you can use this activity to enhance your professional reputation.
CORDEX-FPSCONV individual simulation variable inventory
Creators: name: CORDEX-FPSCONV
Publisher: name: Zenodo
Year: 2025

description: This document provides an inventory of the variables available from individual Convection Permitting Regional Climate Model (CPRCM) simulations on ESGF contributing to the CORDEX Flagship Pilot Study on Convective phenomena at high resolution over Europe and the Mediterranean (CORDEX-FPSCONV).

The list is manually updated running ESGF inventory scripts.
Peer Review
Creators: name: Sewell, Claire
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Peer review
subject: Scholarly publishing

description: Peer review – the formal assessment process for published academic research – provides a good opportunity for researchers at any stage to get involved in the wider academic conversation. It helps you to develop skills including critical reading, giving appropriate feedback and can help to enhance your own academic writing to improve your chances at publication. This session will outline the different types of peer review, how to get involved in the process, what typical reviews look for and how you can use this activity to enhance your professional reputation.
Simplicity-oriented lifelong learning of web applications
Creators: name: Bainczyk, Julius Alexander
Publisher: name: TU Dortmund
Year: 2023
Subjects: subject: Learning-based testing
subject: Automata learning
subject: Test automation
subject: Continuous quality control
subject: Domain-specific languages
subject: 004
subject: Domänenspezifische Sprache
subject: Softwaretest
subject: Qualitätssicherung

description: Nowadays, web applications are ubiquitous. Entire business models revolve around making their services available over the Internet, anytime, anywhere in the world. Due to today’s rapid development practices, software changes are released faster than ever before, creating the risk of losing control over the quality of the delivered products. To counter this, appropriate testing methodologies must be deeply integrated into each phase of the development cycle to identify potential defects as early as possible and to ensure that the product operates as expected in production. The use of low- and no-code tools and code generation technologies can drastically reduce the implementation effort by using well-tailored (graphical) Domain-Specific Languages (DSLs) to focus on what is important: the product. DSLs and corresponding Integrated Modeling Environments (IMEs) are a key enabler for quality control because many system properties can already be verified at a pre-product level. However, to verify that the product fulfills given functional requirements at runtime, end-to-end testing is still a necessity. This dissertation describes the implementation of a lifelong learning framework for the continuous quality control of web applications. In this framework, models representing user-level behavior are mined from running systems using active automata learning, and system properties are verified using model checking. All this is achieved in a continuous and fully automated manner. Code changes trigger testing, learning, and verification processes which generate feedback that can be used for model refinement or product improvement. The main focus of this framework is simplicity. On the one hand, it allows Quality Assurance (QA) engineers to apply learning-based testing techniques to web applications with minimal effort, even without writing code; on the other hand, it allows automation engineers to easily implement these techniques in modern development workflows driven by Continuous Integration and Continuous Deployment (CI/CD). The effectiveness of this framework is leveraged by the Language-Driven Engineering (LDE) approach to web development. Key to this is the text-based DSL iHTML, which enables the instrumentation of user interfaces to make web applications learnable by design, i.e., they adhere to practices that allow fully automated inference of behavioral models without prior specification of an input alphabet. By designing code generators to generate instrumented web-based products, the effort for quality control in the LDE ecosystem is minimized and reduced to formulating runtime properties in temporal logic and verifying them against learned models.
Additional file 3 of Maternal zinc alleviates tert-butyl hydroperoxide-induced mitochondrial oxidative stress on embryonic development involving the activation of Nrf2/PGC-1α pathway
Creators: name: Huang, Liang
name: Gao, Wei
name: He, Xuri
name: Yuan, Tong
name: Zhang, Huaqi
name: Zhang, Xiufen
name: Zheng, Wenxuan
name: Wu, Qilin
name: Liu, Ju
name: Wang, Wence
name: Yang, Lin
name: Zhu, Yongwen
Publisher: name: figshare
Year: 2023
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Environmental Sciences not elsewhere classified
subject: Computational Biology

description: Additional file 3: Table S3. Summary of the antibodies used for Western Blot.
Three-Dimensional Segmentation of the Left Ventricle in Late Gadolinium Enhanced MR Images of Chronic Infarction Combining Long- and Short-Axis Information
Creators: name: Wei, Dong
name: Sun, Ying
name: Ong, Sim-Heng
name: Chai, Ping
name: Teo, Lynette L.
name: Low, Adrian F.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Medical Physics (physics.med-ph)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Automatic segmentation of the left ventricle (LV) in late gadolinium enhanced (LGE) cardiac MR (CMR) images is difficult due to the intensity heterogeneity arising from accumulation of contrast agent in infarcted myocardium. In this paper, we present a comprehensive framework for automatic 3D segmentation of the LV in LGE CMR images. Given myocardial contours in cine images as a priori knowledge, the framework initially propagates the a priori segmentation from cine to LGE images via 2D translational registration. Two meshes representing respectively endocardial and epicardial surfaces are then constructed with the propagated contours. After construction, the two meshes are deformed towards the myocardial edge points detected in both short-axis and long-axis LGE images in a unified 3D coordinate system. Taking into account the intensity characteristics of the LV in LGE images, we propose a novel parametric model of the LV for consistent myocardial edge points detection regardless of pathological status of the myocardium (infarcted or healthy) and of the type of the LGE images (short-axis or long-axis). We have evaluated the proposed framework with 21 sets of real patient and 4 sets of simulated phantom data. Both distance- and region-based performance metrics confirm the observation that the framework can generate accurate and reliable results for myocardial segmentation of LGE images. We have also tested the robustness of the framework with respect to varied a priori segmentation in both practical and simulated settings. Experimental results show that the proposed framework can greatly compensate variations in the given a priori knowledge and consistently produce accurate segmentations.
description: Medical Image Analysis, Volume 17, Issue 6, August 2013, Pages 685-697
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
Creators: name: Ju, Wei
name: Yang, Junwei
name: Qu, Meng
name: Song, Weiping
name: Shen, Jianhao
name: Zhang, Ming
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: This paper studies semi-supervised graph classification, which is an important problem with various applications in social network analysis and bioinformatics. This problem is typically solved by using graph neural networks (GNNs), which yet rely on a large number of labeled graphs for training and are unable to leverage unlabeled graphs. We address the limitations by proposing the Kernel-based Graph Neural Network (KGNN). A KGNN consists of a GNN-based network as well as a kernel-based network parameterized by a memory network. The GNN-based network performs classification through learning graph representations to implicitly capture the similarity between query graphs and labeled graphs, while the kernel-based network uses graph kernels to explicitly compare each query graph with all the labeled graphs stored in a memory for prediction. The two networks are motivated from complementary perspectives, and thus combing them allows KGNN to use labeled graphs more effectively. We jointly train the two networks by maximizing their agreement on unlabeled graphs via posterior regularization, so that the unlabeled graphs serve as a bridge to let both networks mutually enhance each other. Experiments on a range of well-known benchmark datasets demonstrate that KGNN achieves impressive performance over competitive baselines.
description: Published as a full paper at WSDM 2022
Additional file 4 of Maternal zinc alleviates tert-butyl hydroperoxide-induced mitochondrial oxidative stress on embryonic development involving the activation of Nrf2/PGC-1α pathway
Creators: name: Huang, Liang
name: Gao, Wei
name: He, Xuri
name: Yuan, Tong
name: Zhang, Huaqi
name: Zhang, Xiufen
name: Zheng, Wenxuan
name: Wu, Qilin
name: Liu, Ju
name: Wang, Wence
name: Yang, Lin
name: Zhu, Yongwen
Publisher: name: figshare
Year: 2023
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Environmental Sciences not elsewhere classified
subject: Computational Biology

description: Additional file 4: Table S4. Effect of dietary Zn level on laying performance of broiler breeders.
Robot Person Following in Uniform Crowd Environment
Creators: name: Ghimire, Adarsh
name: Zhang, Xiaoxiong
name: Javed, Sajid
name: Dias, Jorge
name: Werghi, Naoufel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Person-tracking robots have many applications, such as in security, elderly care, and socializing robots. Such a task is particularly challenging when the person is moving in a Uniform crowd. Also, despite significant progress of trackers reported in the literature, state-of-the-art trackers have hardly addressed person following in such scenarios. In this work, we focus on improving the perceptivity of a robot for a person following task by developing a robust and real-time applicable object tracker. We present a new robot person tracking system with a new RGB-D tracker, Deep Tracking with RGB-D (DTRD) that is resilient to tricky challenges introduced by the uniform crowd environment. Our tracker utilizes transformer encoder-decoder architecture with RGB and depth information to discriminate the target person from similar distractors. A substantial amount of comprehensive experiments and results demonstrate that our tracker has higher performance in two quantitative evaluation metrics and confirms its superiority over other SOTA trackers.
PERFIL DE INGRESO
Creators: name: Huh, Margareth
Publisher: name: Humanities Commons
Year: 2023

description: en los estudiantes existen diferentes métodos de aprendizaje dependiendo del interés con el que cada uno de ellos lo toma para comprender las diferentes materias y teniendo como una muestra de esto el cuestionario que se encuentra en la lectura pudiendo apreciar que los estudiantes en su mayoría opta por un aprendizaje con enfoque superficial lo que nos llega a inferir que los estudiantes prefieren pasar el semestre con notas mínimas por el miedo de llegar a fracasar y pocos optan por comprender un tema a profundidad
Additional file 1 of Influence of pension availability on the association between work conditions and labor market exit for health reasons: evidence from a Taiwanese older adults cohort
Creators: name: Chiang, Hung-Yi
name: Cheng, Yawen
name: Hasselhorn, Hans Martin
name: Hsu, Chih-Cheng
name: Yang, Yun-Chieh
name: Cheng, Wan-Ju
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 1
PERFIL DE INGRESO
Creators: name: Huh, Margareth
Publisher: name: unknown
Year: 2023

description: en los estudiantes existen diferentes métodos de aprendizaje dependiendo del interés con el que cada uno de ellos lo toma para comprender las diferentes materias y teniendo como una muestra de esto el cuestionario que se encuentra en la lectura pudiendo apreciar que los estudiantes en su mayoría opta por un aprendizaje con enfoque superficial lo que nos llega a inferir que los estudiantes prefieren pasar el semestre con notas mínimas por el miedo de llegar a fracasar y pocos optan por comprender un tema a profundidad
Seismic hazard analysis with the Bayesian approach
Creators: name: Wang, J. P.
Publisher: name: The University of British Columbia
Year: 2015

description: The Bayesian approach is of increasing popularity in engineering probability assessment. The key purpose of the method is to develop a new estimate by integrating observations or samples, along with other sources of prior data. By applying the approach to seismic hazard analysis, we developed and introduced the Bayesian seismic hazard analysis in this paper, including the algorithm, and a case study from Taipei City. The Bayesian analysis shows that based on earthquake strong-motion samples in the past 15 years (i.e., observation), and the return periods of 261 and 475 years reported in two studies (priors), the Bayesian estimate on the return period of PGA ≥ 0.25 g at the study site is equal to 339 years, a new estimate using the Bayesian approach to integrate limited earthquake strong-motion observations, with indirect evidence and estimates.
Estudio de los enfoques de aprendizaje en cuatro cohortes de estudiantes de Agronomía de la Universidad Central del Ecuador
Creators: name: Elizabeth Caguana, Malena
Publisher: name: unknown
Year: 2023

description: Breve descripción de los enfoques de aprendizaje en cuatro cohortes de estudiantes de Agronomía de la Universidad Central del Ecuador, tomando en cuenta los resultados obtenidos de la investigación del artículo científico usado