cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Fate of gapless edge states in two-dimensional topological insulators with Hatsugai-Kohmoto interaction
Creators: name: Skolimowski, Jan
name: Brzezicki, Wojciech
Publisher: name: arXiv
Year: 2025
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: Topologically protected edge states are the highlight feature of an interface between non-equivalent insulators. The robustness/sensitivity of these states to local single-particle perturbations is well understood, while their stability in the presence of various types of two-particle interactions remains unclear. To add to previous discussions of the Hubbard and unscreened Coulomb interactions, we address this problem from the point of view of infinite-range Hatsugai-Kohmoto interaction. Based on our numerical results for two models of Chern insulators, the Kane-Mele and spinful Haldane model, on a ribbon geometry with zig-zag edges, we argue that any finite interaction strength $U$ is sufficient to open a charge gap in the spectrum of either Chern insulator. We explain the differences between the two cases and present how their edge states phase out as the system enters the strongly correlated phase. We show that the closing of the many-body gap in periodic variants of these models can be connected to the onset of hybridization between the edge and bulk modes in finite geometries. Providing an example of the bulk-boundary correspondence in systems where there is a topological phase transition without closing of the spectral gap.
description: 14 pages, 5 figures
Cosmological scalar perturbations in Horndeski-like gravity
Creators: name: de Boe, Dani
name: Santos, Fabiano F.
name: Said, Jackson Levi
Publisher: name: arXiv
Year: 2025
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Scalar-tensor theories are promising dark energy models. A promising scalar-tensor theory, called Horndeski-like gravity, is coming from the application of the Horndeski gravity in string theory and cosmology that takes into account two dilaton fields. In this work we study the stability of the scalar sector of this theory and compare it with that coming from the previously studied tensor sector. With the first-order formalism we investigate the allowed background solutions. Focusing on the background solution with a single scalar field, the entropy coming from particle production $S_{in}$ and that of the apparent horizon $S$ will be studied, which translates into \textit{entropy bounds}. These entropy bounds are compared with the stability of the scalar and tensor sector as well. The gravitational slip (minus one) to entropy ratio is also considered as a possible replacement for the usual shear viscosity to entropy ratio for black holes.
description: 12 pages, 3 figures
Bifurcations in Bosonic Stars: chains and rings from spherical solutions
Creators: name: Liang, Chen
name: Herdeiro, Carlos A. R.
name: Radu, Eugen
Publisher: name: arXiv
Year: 2025
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the bifurcation phenomena between spherical and axisymmetric bosonic stars. By numerically solving for the zero-modes of spherical bosonic stars under specific axially symmetric perturbations, we discover that excited state spherical bosonic stars bifurcate into two types of axisymmetric bosonic stars under $\ell=2$ perturbations, with matter distributions resembling chains and rings, respectively. Meanwhile, $\ell=4$ axisymmetric perturbations lead spherical scalar bosonic stars to bifurcate into a new type of axisymmetric bosonic stars, exhibiting a mixed chain-like and ring-like matter distribution, which we refer to as gyroscope-like. Additionally, for the first time, we have constructed chains of scalar bosonic stars with 7 constituents and their corresponding ring-like scalar bosonic stars. Our results provide an explanation for the bifurcations in bosonic stars from the perspective of perturbations, and by analyzing physical quantities such as quadrupoles and energy densities we systematically discuss the impact of axisymmetric perturbations on spherical bosonic stars.
description: 21 pages, 8 figures
FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion
Creators: name: Ferreira, Alef Iury Siqueira
name: Gris, Lucas Rafael
name: da Rosa, Augusto Seben
name: de Oliveira, Frederico Santos
name: Casanova, Edresson
name: Sousa, Rafael Teixeira
name: Junior, Arnaldo Candido
name: Soares, Anderson da Silva
name: Filho, Arlindo Galvão
Publisher: name: arXiv
Year: 2025
Subjects: subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This work presents FreeSVC, a promising multilingual singing voice conversion approach that leverages an enhanced VITS model with Speaker-invariant Clustering (SPIN) for better content representation and the State-of-the-Art (SOTA) speaker encoder ECAPA2. FreeSVC incorporates trainable language embeddings to handle multiple languages and employs an advanced speaker encoder to disentangle speaker characteristics from linguistic content. Designed for zero-shot learning, FreeSVC enables cross-lingual singing voice conversion without extensive language-specific training. We demonstrate that a multilingual content extractor is crucial for optimal cross-language conversion. Our source code and models are publicly available.
Three-dimensional (3D) tensor-based methodology for characterizing 3D anisotropic thermal conductivity tensor
Creators: name: Wang, Dihui
name: Ban, Heng
name: Jiang, Puqing
Publisher: name: arXiv
Year: 2025
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: The increasing complexity of advanced materials with anisotropic thermal properties necessitates more generic and efficient methods to determine three-dimensional (3D) anisotropic thermal conductivity tensors with up to six independent components. Current methods rely on a vector-based framework that can handle only up to four independent components, often leading to inefficiencies and inaccuracies. We introduce Three-Dimensional Spatially Resolved Lock-In Micro-Thermography (3D SR-LIT), a novel optical thermal characterization technique combining a 3D tensor-based framework with an efficient area-detection experimental system. For simple tensors (e.g., x-cut quartz, k_xz=k_yz=0), our method reduces uncertainty by over 50% compared to vector-based methods. For complex tensors with six independent components (e.g., AT-cut quartz), 2σ uncertainties remain below 12% for all components. A novel adaptive mapping approach enables high-throughput data acquisition (40 seconds to 3 minutes, depending on tensor complexity), over 35 times faster than current methods, and accommodates samples with 200 nm surface roughness. Extensive numerical validation on 1,000 arbitrary anisotropic tensors ranging from 1 to 1,000 Wm^(-1) K^(-1) further validates the robustness of this methodology. This work highlights significant advancements in thermal characterization of complex anisotropic materials.
A Preliminary Survey of Semantic Descriptive Model for Images
Creators: name: Yan, Chengxi
name: Jian, Jie
name: Li, Yang
Publisher: name: arXiv
Year: 2025
Subjects: subject: Digital Libraries (cs.DL)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences
subject: J.5
subject: 68-06

description: Considering the lack of a unified framework for image description and deep cultural analysis at the subject level in the field of Ancient Chinese Paintings (ACP), this study utilized the Beijing Palace Museum's ACP collections to develop a semantic model integrating the iconological theory with a new workflow for term extraction and mapping. Our findings underscore the model's effectiveness. SDM can be used to support further art-related knowledge organization and cultural exploration of ACPs.
description: 3 pages, 2 figures
Revisiting the properties of superfluid and normal liquid ${}^4$He using ab initio potentials
Creators: name: Morresi, Tommaso
name: Garberoglio, Giovanni
Publisher: name: arXiv
Year: 2025
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We investigate the properties of liquid ${}^4$He in both the normal and superfluid phases using path integral Monte Carlo simulations and recently developed ab initio potentials that incorporate pair, three-body, and four-body interactions. By focusing on the energy per particle as a representative observable, we use a perturbative approach to quantify the individual contributions of the many-body potentials and systematically propagate their associated uncertainties. Our findings indicate that the three-body and four-body potentials contribute to the total energy by approximately 4% and 0.4%, respectively. However, the primary limitation in achieving highly accurate first-principles calculations arises from the uncertainty in the four-body potential, which currently dominates the propagated uncertainty. In addition to the energy per particle, we analyze other key observables, including the superfluid fraction, condensed fraction, and pair distribution function, all of which demonstrate excellent agreement with experimental measurements.
description: 24 pages, 7 figures
Dynamic Trend Fusion Module for Traffic Flow Prediction
Creators: name: Chen, Jing
name: Ye, Haocheng
name: Ying, Zhian
name: Sun, Yuntao
name: Xu, Wenqiang
Publisher: name: arXiv
Year: 2025
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Accurate traffic flow prediction is essential for applications like transport logistics but remains challenging due to complex spatio-temporal correlations and non-linear traffic patterns. Existing methods often model spatial and temporal dependencies separately, failing to effectively fuse them. To overcome this limitation, the Dynamic Spatial-Temporal Trend Transformer DST2former is proposed to capture spatio-temporal correlations through adaptive embedding and to fuse dynamic and static information for learning multi-view dynamic features of traffic networks. The approach employs the Dynamic Trend Representation Transformer (DTRformer) to generate dynamic trends using encoders for both temporal and spatial dimensions, fused via Cross Spatial-Temporal Attention. Predefined graphs are compressed into a representation graph to extract static attributes and reduce redundancy. Experiments on four real-world traffic datasets demonstrate that our framework achieves state-of-the-art performance.
title: Feasibility and Effectiveness Analysis of Deep Learning Vision Classification Models for Camera Communication
Creators: name: Ahmed, AbdulHaseeb
Publisher: name: Georgia State University
Year: 2021

description: This thesis studies and evaluates Deep Neural Network models for data demodulation and decoding in a camera-based Visible Light Communication system. Camera communication is an emerging technology that enables communication using light beams, where information is modulated through optical transmissions from light-emitting diodes. This work conducts empirical studies to identify the feasibility and effectiveness of using Deep Learning models to improve signal reception in camera communication. The key contributions of this work include the investigation of transfer learning and customization of existing models to demodulate transmitted signals at the receiver end. The work expounds from a binary quantized system to a 3-bit and 4-bit quantized system. In addition to leveraging Deep Learning methods for demodulating a single VLC transmission, this thesis has developed a pipeline for integration of Deep Learning in a visual multiple-input multiple-output system where transmissions from an LED array are decoded by a camera receiver.
Supplementary document for Monocular Depth Estimation Network with Single-Pixel Depth Guidance - 6202749.pdf
Creators: name: Lee, Hongjae
name: Park, Jinbum
name: Jeong, Wooseok
name: Jung, Seung-Won
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental Document
Kako je Nikola Tesla finansirao svoje projekte
Creators: name: Kocovic, Petar
Publisher: name: Zenodo
Year: 2024

description: Nikola Tesla was one of the greatest inventor ever. He made few companies build Polyphase AC systems and Wireless systems. This presentation describes how he attracted the greatest investors at the end of 19th century: George Westinghouse, John Jacob Astor, and J. P. Morgan.
Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio
Creators: name: Barański, Mateusz
name: Jasiński, Jan
name: Bartolewska, Julitta
name: Kacprzak, Stanisław
name: Witkowski, Marcin
name: Kowalczyk, Konrad
Publisher: name: arXiv
Year: 2025
Subjects: subject: Sound (cs.SD)
subject: Artificial Intelligence (cs.AI)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Hallucinations of deep neural models are amongst key challenges in automatic speech recognition (ASR). In this paper, we investigate hallucinations of the Whisper ASR model induced by non-speech audio segments present during inference. By inducting hallucinations with various types of sounds, we show that there exists a set of hallucinations that appear frequently. We then study hallucinations caused by the augmentation of speech with such sounds. Finally, we describe the creation of a bag of hallucinations (BoH) that allows to remove the effect of hallucinations through the post-processing of text transcriptions. The results of our experiments show that such post-processing is capable of reducing word error rate (WER) and acts as a good safeguard against problematic hallucinations.
description: Accepted for IEEE ICASSP 2025
An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
Creators: name: Chu, Xiaoyu
name: Talluri, Sacheendra
name: Lu, Qingxian
name: Iosup, Alexandru
Publisher: name: arXiv
Year: 2025
Subjects: subject: Performance (cs.PF)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: People and businesses increasingly rely on public LLM services, such as ChatGPT, DALLE, and Claude. Understanding their outages, and particularly measuring their failure-recovery processes, is becoming a stringent problem. However, only limited studies exist in this emerging area. Addressing this problem, in this work we conduct an empirical characterization of outages and failure-recovery in public LLM services. We collect and prepare datasets for 8 commonly used LLM services across 3 major LLM providers, including market-leads OpenAI and Anthropic. We conduct a detailed analysis of failure recovery statistical properties, temporal patterns, co-occurrence, and the impact range of outage-causing incidents. We make over 10 observations, among which: (1) Failures in OpenAI's ChatGPT take longer to resolve but occur less frequently than those in Anthropic's Claude;(2) OpenAI and Anthropic service failures exhibit strong weekly and monthly periodicity; and (3) OpenAI services offer better failure-isolation than Anthropic services. Our research explains LLM failure characteristics and thus enables optimization in building and using LLM systems. FAIR data and code are publicly available on https://zenodo.org/records/14018219 and https://github.com/atlarge-research/llm-service-analysis.
Seguimiento de la lectura 1.4
Creators: name: Cayancela, Johanna
Publisher: name: unknown
Year: 2023

description: Leer el articulo Perfil de ingreso de los estudiantes a la Facultad de Ciencias Agrícolas en la Universidad Central del Ecuador y responder a la pregunta

Se identifica con el perfil de sus compañeros. ¿Explique por qué?
description: Leer el articulo Perfil de ingreso de los estudiantes a la Facultad de Ciencias Agrícolas en la Universidad Central del Ecuador y responder a la pregunta Se identifica con el perfil de sus compañeros. ¿Explique por qué?
Seguimiento de la lectura 1.4
Creators: name: Cayancela, Johanna
Publisher: name: Humanities Commons
Year: 2023

description: Leer el articulo Perfil de ingreso de los estudiantes a la Facultad de Ciencias Agrícolas en la Universidad Central del Ecuador y responder a la pregunta Se identifica con el perfil de sus compañeros. ¿Explique por qué?
Segumiento de lectura, perfil de ingreso de estudiantes de agronomia UCE
Creators: name: Catota, Stefania
Publisher: name: unknown
Year: 2022

description: La mayoría de las estudiantes está optando por un enfoque superficial, este es muy decepcionante a la hora de ver resultados de aprendizaje. Muy pocos han optado por un enfoque profundo de este lado claramente los que estudian por comprender, pero por otro lado están los que solo cumplen por pasar. (Yanez Segovia et al., 2018)
Segumiento de lectura, perfil de ingreso de estudiantes de agronomia UCE
Creators: name: Catota, Stefania
Publisher: name: Humanities Commons
Year: 2022

description: La mayoría de las estudiantes está optando por un enfoque superficial, este es muy decepcionante a la hora de ver resultados de aprendizaje. Muy pocos han optado por un enfoque profundo de este lado claramente los que estudian por comprender, pero por otro lado están los que solo cumplen por pasar. (Yanez Segovia et al., 2018)
Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives
Creators: name: Shrestha, Ajay Kumar
name: Joshi, Sandhya
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: As Artificial Intelligence (AI) systems become increasingly integrated into various aspects of daily life, concerns about privacy and ethical accountability are gaining prominence. This study explores stakeholder perspectives on privacy in AI systems, focusing on educators, parents, and AI professionals. Using qualitative analysis of survey responses from 227 participants, the research identifies key privacy risks, including data breaches, ethical misuse, and excessive data collection, alongside perceived benefits such as personalized services, enhanced efficiency, and educational advancements. Stakeholders emphasized the need for transparency, privacy-by-design, user empowerment, and ethical oversight to address privacy concerns effectively. The findings provide actionable insights into balancing the benefits of AI with robust privacy protections, catering to the diverse needs of stakeholders. Recommendations include implementing selective data use, fostering transparency, promoting user autonomy, and integrating ethical principles into AI development. This study contributes to the ongoing discourse on ethical AI, offering guidance for designing privacy-centric systems that align with societal values and build trust among users. By addressing privacy challenges, this research underscores the importance of developing AI technologies that are not only innovative but also ethically sound and responsive to the concerns of all stakeholders.
description: To appear in the 2025 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC) proceedings
Investigation of the Privacy Concerns in AI Systems for Young Digital Citizens: A Comparative Stakeholder Analysis
Creators: name: Campbell, Molly
name: Barthwal, Ankur
name: Joshi, Sandhya
name: Shouli, Austin
name: Shrestha, Ajay Kumar
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The integration of Artificial Intelligence (AI) systems into technologies used by young digital citizens raises significant privacy concerns. This study investigates these concerns through a comparative analysis of stakeholder perspectives. A total of 252 participants were surveyed, with the analysis focusing on 110 valid responses from parents/educators and 100 from AI professionals after data cleaning. Quantitative methods, including descriptive statistics and Partial Least Squares Structural Equation Modeling, examined five validated constructs: Data Ownership and Control, Parental Data Sharing, Perceived Risks and Benefits, Transparency and Trust, and Education and Awareness. Results showed Education and Awareness significantly influenced data ownership and risk assessment, while Data Ownership and Control strongly impacted Transparency and Trust. Transparency and Trust, along with Perceived Risks and Benefits, showed minimal influence on Parental Data Sharing, suggesting other factors may play a larger role. The study underscores the need for user-centric privacy controls, tailored transparency strategies, and targeted educational initiatives. Incorporating diverse stakeholder perspectives offers actionable insights into ethical AI design and governance, balancing innovation with robust privacy protections to foster trust in a digital age.
description: To appear in the 2025 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC) proceedings
Vision-Based Multimodal Interfaces: A Survey and Taxonomy for Enhanced Context-Aware System Design
Creators: name: Hu, Yongquan 'Owen'
name: Tang, Jingyu
name: Gong, Xinya
name: Zhou, Zhongyi
name: Zhang, Shuning
name: Elvitigala, Don Samitha
name: Mueller, Florian 'Floyd'
name: Hu, Wen
name: Quigley, Aaron J.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences
subject: H.5.2; H.5.3
subject: 68U35, 68T07

description: The recent surge in artificial intelligence, particularly in multimodal processing technology, has advanced human-computer interaction, by altering how intelligent systems perceive, understand, and respond to contextual information (i.e., context awareness). Despite such advancements, there is a significant gap in comprehensive reviews examining these advances, especially from a multimodal data perspective, which is crucial for refining system design. This paper addresses a key aspect of this gap by conducting a systematic survey of data modality-driven Vision-based Multimodal Interfaces (VMIs). VMIs are essential for integrating multimodal data, enabling more precise interpretation of user intentions and complex interactions across physical and digital environments. Unlike previous task- or scenario-driven surveys, this study highlights the critical role of the visual modality in processing contextual information and facilitating multimodal interaction. Adopting a design framework moving from the whole to the details and back, it classifies VMIs across dimensions, providing insights for developing effective, context-aware systems.
description: The ACM CHI Conference on Human Factors in Computing Systems 2025 (CHI 2025)
COUNSELING ON THE IMPORTANCE OF LAND EVALUATION STUDIES FOR COMMUNITIES IN BATANG TORU DISTRICT
Creators: name: Rahmawaty, Abdul Rauf, T Irmansyah, R. Hamdani Harahap, Simon Tarigan, Nawang Wulan, Christine Pepah, Rohani Simbolon, Fitra Syawal Harahap, Hilwa Walida, Anggiat Hosea O Siregar
Publisher: name: PT. Jasa Niaga Digital Indonesia
Year: 2024

description: Counseling on land evaluation has an important role for the community in Batang Toru District. Education about the importance of land evaluation studies for the community in Batang Toru District is very important to increase awareness and understanding to increase participation and collaboration, supporting sustainable development. This study aims to educate and increase public awareness regarding the importance of land evaluation in land management and use in Batang Toru District. This activity was carried out in Batang Toru District, South Tapanuli Regency, North Sumatra Province. This outreach is carried out through Focus Group Discussion (FGD) activities and interactive discussions involving various stakeholders, including the community, private companies and local governments. The results of the activity show a change in people's understanding of the importance of plant suitability evaluation studies and efforts to maintain land quality as well as mitigation steps that can be taken to preserve the environment. In addition, this outreach succeeded in encouraging active community participation in the land evaluation and planning process, which in turn strengthened cooperation between communities, government and companies. The results of this activity emphasize the importance of sustainable extension as a tool to achieve better land management to support sustainable development in the Batang Toru area. Thus, this extension contributes to better resource management and environmental protection for community welfare.
Using deep learning and crowdsourcing to survey asteroid trails in ESA's Hubble data archive
Creators: name: Kruk, Sandor
name: Garcia Martin, Pablo
name: Popescu, Marcel
name: Merin, Bruno
name: Mahlke, Max
name: Carry, Benoit
name: Thomson, Ross
name: Karadag, Samet
name: Duran, Javier
name: Racero, Elena
name: Giordano, Fabrizio
name: Baines, Deborah
name: de Marchi, Guido
name: Laureijs, Rene
Publisher: name: Zenodo
Year: 2022
Subjects: Citizen Science
Deep Learning
Hubble Space Telescope
Data Archives
Google

description: The Hubble Space Telescope (HST) archives hide many unexpected treasures, such as trails of asteroids, showing a characteristic curvature due to the parallax induced by the orbital motion of the spacecraft. We have explored two decades of HST data for serendipitously observed asteroid trails with a deep learning algorithm on Google Cloud and trained on classifications from the Hubble Asteroid Hunter (www.asteroidhunter.org) citizen science project. The project was set up as a collaboration between the ESAC Science Data Centre, Zooniverse, and engineers at Google as a proof of concept to valorize the rich data in the ESA archives. I will present the first results from the project, finding 1700 asteroid trails in the HST archives (Kruk et al., 2022). The majority of the trails we found are faint (typically > 22 mag) and correspond to previously unidentified asteroids. Identifying the asteroids in HST images allows us to refine their ephemerides, as well as study their orbital distribution. I will argue that a combination of AI and crowdsourcing is an efficient way of exploring increasingly large datasets by taking full advantage of the intuition of the human brain and the processing power of machines. This comprehensive survey of asteroids required only ten hours of wall clock time to train the algorithm and scan the entire HST archival dataset, illustrating the immense scientific potential of these techniques and the benefits of exploiting the vast amounts of data in the archives.
Study on axial fields in the dynamically assisted Schwinger effect
Creators: name: Yu, Chengpeng
Publisher: name: arXiv
Year: 2025
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The dynamically assisted Schwinger effect, the generation of fermion-antifermion pairs in vacuum under a strong, slow-varying field and a weak, high-frequency field, has become a promising avenue to probe the vacuum structure and the nonlinear dynamics of QED. However, the role of axial fields in this phenomenon has remained underexplored. This study aims at analyzing how spatial axial fields influence particle production in the dynamically assisted Schwinger effect. Employing the high-frequency effective theory based on the Floquet-Magnus expansion, we demonstrate that a spatial axial field can occur as the effective field of a circular polarized high-frequency plane wave and significantly increase the number of fermions produced across different timescales. This enhancement offers both theoretical insights and useful tools for the experimental implementation of the Schwinger effect.
description: 12 pages, 4 figures, revised based on the journal version of this article
Supplementary document for Optimization of heterogeneously integrated InP-Si on-chip photonic components - 6202867.pdf
Creators: name: Mrowinski, Pawel
name: Holewa, Paweł
name: Sakanas, Aurimas
name: Sek, Grzegorz
name: Semenova, Elizaveta
name: Syperek, Marcin
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: supplementary data and descriptions
¿Qué se entiende por formación agroecológica?
Creators: name: fernando fercho1234, Muñoz
Publisher: name: Muñoz Fernando
Year: 2023

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente.
La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
Draft Press Release, Overflow Audience for Opening Stony Brook Summer Music Festival
Creators: name: Symphony Of The Air
Publisher: name: Unknown
Year: 1955
Subjects: Stony Brook
Concert halls
Concerts
Amphitheaters
Music festivals
Publicity

description: A draft of a press released detailing the success of the first concert on the Summer series, which was not only sold out, but forced to turn away five hundred patrons. A notice at the top says this article is due for immediate release. The release tells of an "enthusiastic audience". (Drafts of releases are housed in physical archive.)
Development of an uncertainty model for ship-based lidar measurements
Creators: name: Rubio, Hugo
name: Gottschall, Julia
Publisher: name: Zenodo
Year: 2022
Subjects: ship-based lidar, offshore wind, uncertainty

description: Oral presentation at the EERA DeepWind Conference 2022 Understanding the local wind conditions and climatology is a fundamental requirement for the successful development of new offshore wind farms. Ship-based lidar systems are a cost-efficient alternative for this purpose, and contrary to fixed floating lidars or meteorological masts, they provide accurate wind data not in a single location but within vast regions of interest. However, while the traditionally used measurement technologies have demonstrated performance in agreement with the accuracy standards used by industry, ship-mounted lidars require a greater comprehension of the levels of uncertainty associated with this novel technology. As an answer to this, this study proposes an analytical model for estimating the uncertainty of the wind speed and direction measured through the employment of ship-based Doppler pulsed lidars. The model follows the uncertainty propagation method taking into account the relevant parameters for assessing the wind speed like the radial velocity estimation, the half cone opening angle, or the lidar beams' orientation; and those variables specifically associated with non-stationary measurement systems such as the system tilting or the vessel's velocity. Additionally, the assurance of accurate and reliable ship-mounted lidar observations requires the implementation of a post-processing motion correction algorithm. Therefore, the derived uncertainty model also includes the implementation of a motion-compensation algorithm.
Evaluating the performance of numerical models in retrieving wind speeds at greater heights
Creators: name: Rubio, Hugo
name: Gottschall, Julia
Publisher: name: Zenodo
Year: 2021
Subjects: ship-based, wind resource assessment, offshore wind resources, ERA5, floating lidar, numerical models

description: Presentation at the EAWE PhD Seminar 2021 Understanding the in-situ wind conditions and climatology of a region is a fundamental requirement for the successful development of new offshore wind farms. However, meteorological (met) mast measurement campaigns are expensive, and the availability of high-reliable offshore observations is still scarce [1]. Consequently, numerical models have been widely used as an alternative by the wind industry to investigate wind resources at offshore sites. On the one hand, they are able to satisfactorily resolve the most relevant features of the marine atmospheric boundary layer. On the other hand, they provide wind and atmospheric parameters within a wide time and spatial range, and thus, they can address issues like the evaluation of wind climatology. Mesoscale model outputs have been extensively compared with experimental data in onshore and near-shore locations. However, further evaluations of the performance of the numerical models are still needed to better understand the capabilities and limitations of the modeled data in offshore sites. Furthermore, this fact is highlighted when considering heights above a few hundred meters, out of reach of the vast majority of measuring devices traditionally used for wind resource characterization. With this idea, the investigation presented here focuses on comparing one of the most widely used reanalyses within the wind energy industry, ERA5 (ECMWF Reanalysis 5th Generation) [2], with the observations of a long-range Doppler lidar. For this, data retrieved during the execution of a ship-based measurement campaign as part of the EUREC4A [3] project will be used. In this experiment, a Leosphere Windcube (WLS70) vertical profiler was installed onboard the research vessel Meteor, retrieving wind data up to 2,000 m height over the central Atlantic Ocean. With this comparison, we aim to investigate the performance of ERA5 in the offshore environment along the region covered by the vessel route, as well as to evaluate the potential influence of the elevation in the capabilities of this reanalysis dataset. References: [1] A. M. Sempreviva; R. J. Barthelmie; S. C. Pryor (2008): Review of Methodologies for Offshore Wind Resource Assessment in European Seas. In Surv Geophys 29 (6), pp. 471–497. DOI: 10.1007/s10712-008-9050-2. [2] Copernicus Climate Change Service (C3S) (2017): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate . Copernicus Climate Change Service Climate Data Store (CDS). https://cds.climate.copernicus.eu/cdsapp#!/home [3] B. Stevens; S. Bony; D. Farrell; F. Ament; A. Blyth; C. Fairall et al. (2021): Eurec4A. In Earth System Science Data 132 (8), pp. 4067-4119. DOI: 10.5194/essd-13-4067-2021
¿Qué se entiende por formación agroecológica?
Creators: name: fernando fercho1234, Muñoz
Publisher: name: Humanities Commons
Year: 2023

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente. La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
¿ Qué se entiende por formación agroecológica ?
Creators: name: fernando fercho1234, Muñoz
Publisher: name: Muñoz Fernando
Year: 2023
Subjects: subject: Agronomy

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente.
La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
Supplementary document for A Point-of-care real-time DNA Detection Device (D3) of SARS-CoV-2 from clinical samples - 6203587.pdf
Creators: name: Presti, Damian
name: Bergier, Julian
name: Ripoll, Lucas
name: Borio, Cristina
name: Torchia, Gustavo
name: Bilen, Marcos
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental TeX archive and document
¿ Qué se entiende por formación agroecológica ?
Creators: name: fernando fercho1234, Muñoz
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Agronomy

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente. La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
Qué se entiende por formación agroecológica
Creators: name: fernando fercho1234, Muñoz
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Agronomy

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente. La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
Qué se entiende por formación agroecológica
Creators: name: fernando fercho1234, Muñoz
Publisher: name: unknown
Year: 2023
Subjects: subject: Agronomy

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente.
La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente. La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
Qué se entiende por formación agroecológica ?
Creators: name: fernando fercho1234, Muñoz
Publisher: name: Humanities Commons
Year: 2023
Subjects: subject: Agronomy

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente. La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
TOI 4600 b and c: Two long-period gas-giant planets orbiting an early K dwarf
Creators: name: Mireles, Ismael
name: Dragomir, Diana
name: Quinn, Samuel
name: Collins, Karen
Publisher: name: Zenodo
Year: 2022

description: We report the discovery and validation of two long-period gas giants orbiting the early K dwarf TOI 4600 (V=12.6, T=11.9), first detected by the Transiting Exoplanet Survey Satellite (TESS). The inner planet, TOI 4600 b, is 6.88+/-0.59 R_e and has an orbital period of 82.69 d. The outer planet, TOI 4600 c, is 9.42+/-0.71 R_e and has a period range of 226-378 d, having transited only once during TESS observations. We combine TESS photometry and additional ground based spectroscopy, photometry, and high-resolution imaging to validate the two planets. With equilibrium temperatures of 343 K and <270 K, respectively, TOI 4600 b and c add to the small but growing population of temperate gas giants that bridge the gap between hot/warm Jupiters and the solar system gas giants. TOI 4600 is a promising target for further transit and precise RV observations to measure masses and orbits for the planets as well as search for additional non-transiting planets. Together, this system will lend insight into the formation and evolution of planet systems with multiple gas giants.
Qué se entiende por formación agroecológica ?
Creators: name: fernando fercho1234, Muñoz
Publisher: name: unknown
Year: 2023
Subjects: subject: Agronomy

description: La agroecología es un componente integral de los sistemas agrícolas sostenibles. Se refiere a la integración de sistemas ecológicos, económicos y sociales en la agricultura. Por lo tanto, es fundamental comprender qué es la agroecología antes de discutir sus aplicaciones. La agroecología se refiere a la aplicación de principios ecológicos a la producción agrícola. Incluye agricultura orgánica, biodinámica, permacultura y otros campos relacionados. Esencialmente, la agroecología es una síntesis de ecología, ingeniería y sistemática con el objetivo de lograr un nivel de vida más alto sin poner en peligro el medio ambiente.
La agroecología es un sistema de gestión holístico que promueve prácticas agrícolas sostenibles al integrar los principios de la ecología en métodos de producción. Promueve la conservación de los recursos naturales y el aporte del trabajo humano. Los métodos que se incluyen en esta categoría incluyen la agricultura orgánica, la biodinámica, la permacultura y la agricultura natural, todos los cuales están diseñados para aumentar el rendimiento de los cultivos y mejorar la calidad de los alimentos producidos.
QIMMATLI QOG'OZLAR BOZORINING ILMIY-AMALIY ASOSLARI: XORIJ VA O'ZBEKISTON MISOLIDA
Creators: name: Ibodullaev, Abror
Publisher: name: Zenodo
Year: 2025

description: Iqtisodiyotni modernizatsiyalash va strategik rivojlantirish uchun zaruriy shart – moliyaviy resurslar va ularning faol jalb etilishi hamda to‘g‘ri taqsimlanishi hisoblanadi. Iqtisodiyot tarmoqlariga moliyaviy resurslar ta’minoti borasida qimmatli qog‘ozlar bozori (fond bozori)ning o‘rni nihoyatda muhim. Bu borada qimmatli qog‘ozlar bozori, fond birjalari va ularning tashkil etilishi, xususiyatlari borasida xorijlik va mahalliy iqtisodchi olimlar va mutaxassislarning nazariy qarashlari, fikr-mulohazalarining turlicha ekanligini ko‘ramiz.