cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The business of anti-piracy: New zones of enterprise in the copyright wars
Creators: name: Lobato, Ramon
name: Thomas, Julian
Publisher: name: Swinburne
Year: 2024

description: From the perspective of copyright holders, piracy represents lost revenue. In this article we argue that piracy nevertheless has important generative features. We consider the range of commercial opportunities that piracy opens up outside of the media industries, identifying four overlapping fields of legal anti-piracy enterprise: technological prevention, revenue capture, knowledge generation, and policing/enforcement. Our analysis notes the commercialization of these activities and their close relationship with the informal media economy. A case study of recent “speculative invoicing” lawsuits demonstrates the extent of this commercialization and its detachment from the mainstream content industries.
Deep Learning-based Analysis of Basins of Attraction
Creators: name: Valle, David
name: Wagemakers, Alexandre
name: Sanjuán, Miguel A. F.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This research addresses the challenge of characterizing the complexity and unpredictability of basins within various dynamical systems. The main focus is on demonstrating the efficiency of convolutional neural networks (CNNs) in this field. Conventional methods become computationally demanding when analyzing multiple basins of attraction across different parameters of dynamical systems. Our research presents an innovative approach that employs CNN architectures for this purpose, showcasing their superior performance in comparison to conventional methods. We conduct a comparative analysis of various CNN models, highlighting the effectiveness of our proposed characterization method while acknowledging the validity of prior approaches. The findings not only showcase the potential of CNNs but also emphasize their significance in advancing the exploration of diverse behaviors within dynamical systems.
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems
Creators: name: Cohen, Max H.
name: Cosner, Ryan K.
name: Ames, Aaron D.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Systems and Control (eess.SY)
subject: Robotics (cs.RO)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Certifying the safety of nonlinear systems, through the lens of set invariance and control barrier functions (CBFs), offers a powerful method for controller synthesis, provided a CBF can be constructed. This paper draws connections between partial feedback linearization and CBF synthesis. We illustrate that when a control affine system is input-output linearizable with respect to a smooth output function, then, under mild regularity conditions, one may extend any safety constraint defined on the output to a CBF for the full-order dynamics. These more general results are specialized to robotic systems where the conditions required to synthesize CBFs simplify. The CBFs constructed from our approach are applied and verified in simulation and hardware experiments on a quadrotor.
description: Accepted for publication in IEEE Control Systems Letters
Additional file 4 of SARSCoV-2 antibody prevalence and titers in persons living with HIV cared for at a large tertiary reference center in Mexico City
Creators: name: Soto-Nava, Maribel
name: Dávila-Conn, Vanessa
name: Venancio-Rocha, Juan P.
name: García-Esparza, Pedro
name: Tapia-Trejo, Daniela
name: Hernández-Juan, Ramón
name: Zarza-Sánchez, Eduardo
name: Murakami-Ogasawara, Akio
name: Ávila-Ríos, Santiago
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Additional file 4: Correlations between SARS-CoV-2 neutralization activity and time from vaccination.
ALLPROS.eu Best Practice - IHP
Creators: name: ALLPROS.eu
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Microelectronics

description: ALLPROS.eu is a 3-year project under the EU Digital Europe Programme aiming at strengthening the European semiconductor ecosystem.

To consolidate EU's industrial potential and support innovation, ALLPROS.eu provides multiple digital tools and engagement opportunities that bring together industry, academia and policy-makers in the field. One of the outcomes of the project's implementation is the dissemination and promotion of best practices from diverse stakeholders within the European semiconductor sector. 

In this first set of best practices, ALLPROS.eu has collected outstanding examples of application, design, manufacturing that showcase Europe's strenghts and incentivise to further boost its position in the chips industry.
Divisor topologies of CICY 3-folds and their applications to phenomenology
Creators: name: Carta, Federico
name: Mininno, Alessandro
name: Shukla, Pramod
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this article, we present a classification for the divisor topologies of the projective complete intersection Calabi-Yau (pCICY) 3-folds realized as hypersurfaces in the product of complex projective spaces. There are 7890 such pCICYs of which 7820 are favorable, and can be subsequently useful for phenomenological purposes. To our surprise we find that the whole pCICY database results in only 11 (so-called coordinate) divisors $(D)$ of distinct topology and we classify those surfaces with their possible deformations inside the pCICY 3-fold, which turn out to be satisfying $1 \leq h^{2,0}(D) \leq 7$. We also present a classification of the so-called ample divisors for all the favorable pCICYs which can be useful for fixing all the (saxionic) Kähler moduli through a single non-perturbative term in the superpotential. We argue that this relatively unexplored pCICY dataset equipped with the necessary model building ingredients, can be used for a systematic search of physical vacua. To illustrate this for model building in the context of type IIB CY orientifold compactifications, we present moduli stabilization with some preliminary analysis of searching possible vacua in simple models, as a template to be adopted for analyzing models with a larger number of Kähler moduli.
description: v2: added clarifications and references, JHEP accepted v1: 24 pages + 2 appendices. A database as Mathematica notebook is given as ancillary
Learning optimal integration of spatial and temporal information in noisy chemotaxis
Creators: name: Alonso, Albert
name: Kirkegaard, Julius B.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Machine Learning (cs.LG)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We investigate the boundary between chemotaxis driven by spatial estimation of gradients and chemotaxis driven by temporal estimation. While it is well known that spatial chemotaxis becomes disadvantageous for small organisms at high noise levels, it is unclear whether there is a discontinuous switch of optimal strategies or a continuous transition exists. Here, we employ deep reinforcement learning to study the possible integration of spatial and temporal information in an a priori unconstrained manner. We parameterize such a combined chemotactic policy by a recurrent neural network and evaluate it using a minimal theoretical model of a chemotactic cell. By comparing with constrained variants of the policy, we show that it converges to purely temporal and spatial strategies at small and large cell sizes, respectively. We find that the transition between the regimes is continuous, with the combined strategy outperforming in the transition region both the constrained variants as well as models that explicitly integrate spatial and temporal information. Finally, by utilizing the attribution method of integrated gradients, we show that the policy relies on a non-trivial combination of spatially and temporally derived gradient information in a ratio that varies dynamically during the chemotactic trajectories.
An efficient and easy-to-extend Matlab code of the Moving Morphable Component (MMC) method for three-dimensional topology optimization
Creators: name: Du, Zongliang
name: Cui, Tianchen
name: Liu, Chang
name: Zhang, Weisheng
name: Guo, Yilin
name: Guo, Xu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Explicit topology optimization methods have received ever-increasing interest in recent years. In particular, a 188-line Matlab code of the two-dimensional (2D) Moving Morphable Component (MMC)-based topology optimization method was released by Zhang et al. (Struct Multidiscip Optim 53(6):1243-1260, 2016). The present work aims to propose an efficient and easy-to-extend 256-line Matlab code of the MMC method for three-dimensional (3D) topology optimization implementing some new numerical techniques. To be specific, by virtue of the function aggregation technique, accurate sensitivity analysis, which is also easy-to-extend to other problems, is achieved. Besides, based on an efficient identification algorithm for load transmission path, the degrees of freedoms (DOFs) not belonging to the load transmission path are removed in finite element analysis (FEA), which significantly accelerates the optimization process. As a result, compared to the corresponding 188-line 2D code, the performance of the optimization results, the computational efficiency of FEA, and the convergence rate and the robustness of optimization process are greatly improved. For the sake of completeness, a refined 218-line Matlab code implementing the 2D-MMC method is also provided.
description: Accepted by Structural and Multidisciplinary Optimization on 3-26-2022
Additional file 5 of SARSCoV-2 antibody prevalence and titers in persons living with HIV cared for at a large tertiary reference center in Mexico City
Creators: name: Soto-Nava, Maribel
name: Dávila-Conn, Vanessa
name: Venancio-Rocha, Juan P.
name: García-Esparza, Pedro
name: Tapia-Trejo, Daniela
name: Hernández-Juan, Ramón
name: Zarza-Sánchez, Eduardo
name: Murakami-Ogasawara, Akio
name: Ávila-Ríos, Santiago
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Additional file 5: Associations with SARS-CoV-2 neutralizing antibody titters in vaccinated PLWHIV participating in the study.
AJR912152 Supplemental Material1 - Supplemental material for Characterization of Chronic Sinonasal Disease Symptoms in an Urban Homeless Population
Creators: name: Itamura, Kyohei
name: Hur, Kevin
name: Ference, Elisabeth
name: Bozena Wrobel
name: Chambers, Tamara N.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110315 Otorhinolaryngology
subject: FOS: Clinical medicine

description: Supplemental material, AJR912152 Supplemental Material1 for Characterization of Chronic Sinonasal Disease Symptoms in an Urban Homeless Population by Kyohei Itamura BS Kevin Hur MD Elisabeth Ference MD, MPH Bozena Wrobel MD Tamara N. Chambers MD in American Journal of Rhinology & Allergy
Supplemental Material, Rebuttal_BBP-IJHPCA_2019 - Analytic performance modeling and analysis of detailed neuron simulations
Creators: name: Cremonesi, Francesco
name: Hager, Georg
name: Wellein, Gerhard
name: Schürmann, Felix
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental Material, Rebuttal_BBP-IJHPCA_2019 for Analytic performance modeling and analysis of detailed neuron simulations by Francesco Cremonesi, Georg Hager, Gerhard Wellein and Felix Schürmann in The International Journal of High Performance Computing Applications
Canonical description of Exotic General Massive Gravity
Creators: name: Rodríguez-Tzompantzi, Omar
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Exotic General Massive Gravity is the next-to-simplest gravitational theory fulfilling the so-called third-way consistency, the simplest being Minimal Massive Gravity. We investigate the canonical structure of the first-order formulation of Exotic General Massive Gravity. By using the Dirac Hamiltonian formalism, we systematically discover the complete set of physical constraints, including primary, secondary, and tertiary ones, and explicitly compute the Poisson bracket algebra between them. In particular, we demonstrate that the consistency condition for the tertiary constraints provides explicit expressions which can be solved algebraically for the auxiliary fields $f$ and $h$ in terms of the dreibein $e$. In this configuration, to confirm that the theory is ghost-free, the whole set of constraints is classified into first and second-class ones showing the existence of only two physical degrees of freedom corresponding to one massive graviton. Furthermore, we identify the transformation laws for all of the dynamical variables corresponding essentially to gauge symmetries, generated by the first-class constraints. Finally, by taking into account all the second-class constraints, we explicitly compute the Dirac matrix together with the Dirac's brackets.
description: typos corrected, comments and references added, published version
Additional file 6 of SARSCoV-2 antibody prevalence and titers in persons living with HIV cared for at a large tertiary reference center in Mexico City
Creators: name: Soto-Nava, Maribel
name: Dávila-Conn, Vanessa
name: Venancio-Rocha, Juan P.
name: García-Esparza, Pedro
name: Tapia-Trejo, Daniela
name: Hernández-Juan, Ramón
name: Zarza-Sánchez, Eduardo
name: Murakami-Ogasawara, Akio
name: Ávila-Ríos, Santiago
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Additional file 6: Characteristics of participants by type of SARS-CoV-2 vaccine.
SnapFuzz: An Efficient Fuzzing Framework for Network Applications
Creators: name: Andronidis, Anastasios
name: Cadar, Cristian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: In recent years, fuzz testing has benefited from increased computational power and important algorithmic advances, leading to systems that have discovered many critical bugs and vulnerabilities in production software. Despite these successes, not all applications can be fuzzed efficiently. In particular, stateful applications such as network protocol implementations are constrained by their low fuzzing throughput and the need to develop fuzzing harnesses that reset their state and isolate their side effects. In this paper, we present SnapFuzz, a novel fuzzing framework for network applications. SnapFuzz offers a robust architecture that transforms slow asynchronous network communication into fast synchronous communication, snapshots the target at the latest point at which it is safe to do so, speeds up all file operations by redirecting them to a custom in-memory filesystem, and removes the need for many fragile modifications, such as configuring time delays or writing clean-up scripts, together with several other improvements. Using SnapFuzz, we fuzzed five popular networking applications: LightFTP, TinyDTLS, Dnsmasq, LIVE555 and Dcmqrscp. We report impressive performance speedups of 62.8x, 41.2x, 30.6x, 24.6x, and 8.4x, respectively, with significantly simpler fuzzing harnesses in all cases. Through its performance advantage, SnapFuzz has also found 12 extra crashes compared to AFLNet in these applications.
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks
Creators: name: Shmuel, Assaf
name: Glickman, Oren
name: Lazebnik, Teddy
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In the realm of machine and deep learning regression tasks, the role of effective feature engineering (FE) is pivotal in enhancing model performance. Traditional approaches of FE often rely on domain expertise to manually design features for machine learning models. In the context of deep learning models, the FE is embedded in the neural network's architecture, making it hard for interpretation. In this study, we propose to integrate symbolic regression (SR) as an FE process before a machine learning model to improve its performance. We show, through extensive experimentation on synthetic and real-world physics-related datasets, that the incorporation of SR-derived features significantly enhances the predictive capabilities of both machine and deep learning regression models with 34-86% root mean square error (RMSE) improvement in synthetic datasets and 4-11.5% improvement in real-world datasets. In addition, as a realistic use-case, we show the proposed method improves the machine learning performance in predicting superconducting critical temperatures based on Eliashberg theory by more than 20% in terms of RMSE. These results outline the potential of SR as an FE component in data-driven models.
Supplementary_Material_(1) - Dynamical delimitation of the Central American Dry Corridor (CADC) using drought indices and aridity values
Creators: name: Quesada-Hernández, Luis Eduardo
name: Calvo-Solano, Oscar David
name: Hidalgo, Hugo G.
name: Pérez-Briceño, Paula M.
name: Alfaro, Eric J.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: Geography
subject: 120599 Urban and Regional Planning not elsewhere classified
subject: FOS: Social and economic geography

description: Supplementary_Material_(1) for Dynamical delimitation of the Central American Dry Corridor (CADC) using drought indices and aridity values by Luis Eduardo Quesada-Hernández, Oscar David Calvo-Solano, Hugo G. Hidalgo, Paula M. Pérez-Briceño and Eric J. Alfaro in Progress in Physical Geography: Earth and Environment
ДАВЛАТ ИЖРОЧИЛАРИНИНГ ИШ ЮКЛАМАСИНИ ОПТИМАЛЛАШТИРИШ МАҚСАДИДА ҚАРЗДОРЛИКНИ УНДИРИШНИНГ ҚЎШИМЧА ВОСИТАЛАРИНИ ЖОРИЙ ЭТИШ МАСАЛАЛАРИ
Creators: name: Икромов, Хокимжон
Publisher: name: Zenodo
Year: 2025

description: Мазкур мақолада ижро иши юритиш жараёнида давлат ижрочиларининг иш юкламасини оптималлаштириш мақсадида қарздорликни ундиришнинг қўшимча воситаларини жорий этиш масалалари, қарздорларга нисбатан янги таъсир воситаларини жорий этиш орқали қўлланилиши мумкин бўлган мажбурий ижро чоралари доирасини кенгайтиришнинг ташкилий ва ҳуқуқий асосларини такомиллаштириш масалалари, бу борада хорижий мамлакатларнинг илғор тажрибалари, ҳужжатлар ижросини таъминлаш жараёнида бошқа давлат органлари ва ташкилотлари билан электрон ҳамкорлик масалаларини янада такомиллаштириш орқали ундирув самарадорлигини ошириш масалалари ҳақида фикр юритилган. Таҳлиллардан келиб чиққан ҳолда қонунчиликни такомиллаштириш хусусидаги таклифлар илгари сурилган.
Appendix
Creators: name: Kopecny, Lucy
name: Maggs, David J
name: Leutenegger, Christian M
name: Johnson, Lynelle R
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Owner survey at study entry
Additional file 1 of Non-T-depleted haploidentical transplantation with post-transplant cyclophosphamide in patients with secondary versus de novo AML in first complete remission: a study from the ALWP/EBMT
Creators: name: Nagler, Arnon
name: Labopin, Myriam
name: Blaise, Didier
name: Raiola, Anna Maria
name: Corral, Lucia Lopez
name: Bramanti, Stefania
name: Sica, Simona
name: Kwon, Mi
name: Koc, Yener
name: Pavlu, Jiri
name: Kulagin, Alexander
name: Busca, Alessandro
name: Rodríguez, Arancha Bermúdez
name: Reményi, Péter
name: Schmid, Christoph
name: Brissot, Eolia
name: Sanz, Jaime
name: Bazarbachi, Ali
name: Giebel, Sebastian
name: Ciceri, Fabio
name: Mohty, Mohamad
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Ecology
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Cancer
subject: Science Policy
subject: Hematology
subject: Plant Biology

description: Additional file 1. Contributing centers and Supplemental Tables.
Fig.S1 – Supplemental material for Resting-state dynamics as a neuromarker of dopamine administration in healthy female adults
Creators: name: Bellucci, Gabriele
name: Münte, Thomas F
name: Soyoung Q Park
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)

description: Supplemental material, Fig.S1 for Resting-state dynamics as a neuromarker of dopamine administration in healthy female adults by Gabriele Bellucci, Thomas F Münte and Soyoung Q Park in Journal of Psychopharmacology
Steady-state susceptibility in continuous phase transitions of dissipative systems
Creators: name: Li, Xingli
name: Li, Yan
name: Jin, Jiasen
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: In this work, we explore the critical behaviors of fidelity susceptibility and trace distance susceptibility associated to the steady states of dissipative systems at continuous phase transitions. We investigate on two typical models, one is the dissipative spin-1/2 XYZ model on two-dimensional square lattice and the other is a driven-dissipative Kerr oscillator. We find that the susceptibilities of fidelity and trace distance exhabit singular behaviors near the critical points of phase transitions in both models. The critical points, in thermodynamic limit, extracted from the scalings of the critical controlling parameters to the system size or nonlinearity agree well with the existed results.
description: 9 pages, 9 figures, accepted version
Additional file 1 of Factors assessed in the first year of a longitudinal study predict subsequent study visit compliance: the TEDDY study
Creators: name: Melin, Jessica
name: Lynch, Kristian F.
name: Lundgren, Markus
name: Aronsson, Carin Andrén
name: Larsson, Helena Elding
name: Johnson, Suzanne Bennett
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. Additional members of the TEDDY Study Group.
Optimal Attack and Defense for Reinforcement Learning
Creators: name: McMahan, Jeremy
name: Wu, Young
name: Zhu, Xiaojin
name: Xie, Qiaomin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Computer and information sciences

description: To ensure the usefulness of Reinforcement Learning (RL) in real systems, it is crucial to ensure they are robust to noise and adversarial attacks. In adversarial RL, an external attacker has the power to manipulate the victim agent's interaction with the environment. We study the full class of online manipulation attacks, which include (i) state attacks, (ii) observation attacks (which are a generalization of perceived-state attacks), (iii) action attacks, and (iv) reward attacks. We show the attacker's problem of designing a stealthy attack that maximizes its own expected reward, which often corresponds to minimizing the victim's value, is captured by a Markov Decision Process (MDP) that we call a meta-MDP since it is not the true environment but a higher level environment induced by the attacked interaction. We show that the attacker can derive optimal attacks by planning in polynomial time or learning with polynomial sample complexity using standard RL techniques. We argue that the optimal defense policy for the victim can be computed as the solution to a stochastic Stackelberg game, which can be further simplified into a partially-observable turn-based stochastic game (POTBSG). Neither the attacker nor the victim would benefit from deviating from their respective optimal policies, thus such solutions are truly robust. Although the defense problem is NP-hard, we show that optimal Markovian defenses can be computed (learned) in polynomial time (sample complexity) in many scenarios.
online_supplemental_material - Explaining Support for Political Violence: Grievance and Perceived Opportunity
Creators: name: Dyrstad, Karin
name: Hillesund, Solveig
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 220104 Human Rights and Justice Issues
subject: FOS: Philosophy, ethics and religion
subject: 160607 International Relations
subject: FOS: Political science

description: online_supplemental_material for Explaining Support for Political Violence: Grievance and Perceived Opportunity by Karin Dyrstad and Solveig Hillesund in Journal of Conflict Resolution
New Concept of Extended Strings and Their Role in the Universe
Creators: name: Dmitriy Yatsenko
Publisher: name: Zenodo
Year: 2024

description: In this paper, we propose a new concept that combines the ideas of string theory with our view of large-scale strings that stretch across the entire Universe. We consider strings not as extremely small objects, but as large structures that form the "fabric" of the Universe. These strings are carriers of energy and vibrations that create all known particles. We discuss the interaction of strings with light, the role of black holes, and the balancing of planetary systems. Additionally, we assume that cosmic anomalies can be seen as errors in the vibrational modes of these strings. The dual nature of particles and waves can be interpreted as different vibrational or resonance states of these extended strings.

We also introduce a hypothesis about dark matter, suggesting that it represents regions devoid of fundamental strings. Furthermore, we explore the concept of inter-string space, which contributes to the understanding of the structure and expansion of the Universe.

Our theory is based on the fundamental principles of quantum mechanics and string theory, including the works of John Schwarz and Michael Green, who initiated modern string theory. We also rely on the ideas of the holographic principle proposed by Gerard 't Hooft and developed by Leonard Susskind, and the concepts of quantum entanglement investigated by Albert Einstein, Boris Podolsky, and Nathan Rosen. This theory aims to provide a new perspective on the structure and expansion of the Universe and seeks collaboration for further development and mathematical substantiation.
An In-Depth Survey on Virtualization Technologies in 6G Integrated Terrestrial and Non-Terrestrial Networks
Creators: name: Ammar, Sahar
name: Lau, Chun Pong
name: Shihada, Basem
Publisher: name: arXiv
Year: 2023
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: 6G networks are envisioned to deliver a large diversity of applications and meet stringent quality of service (QoS) requirements. Hence, integrated terrestrial and non-terrestrial networks (TN-NTNs) are anticipated to be key enabling technologies. However, the TN-NTNs integration faces a number of challenges that could be addressed through network virtualization technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV) and network slicing. In this survey, we provide a comprehensive review on the adaptation of these networking paradigms in 6G networks. We begin with a brief overview on NTNs and virtualization techniques. Then, we highlight the integral role of Artificial Intelligence in improving network virtualization by summarizing major research areas where AI models are applied. Building on this foundation, the survey identifies the main issues arising from the adaptation of SDN, NFV, and network slicing in integrated TN-NTNs, and proposes a taxonomy of integrated TN-NTNs virtualization offering a thorough review of relevant contributions. The taxonomy is built on a four-level classification indicating for each study the level of TN-NTNs integration, the used virtualization technology, the addressed problem, the type of the study and the proposed solution, which can be based on conventional or AI-enabled methods. Moreover, we present a summary on the simulation tools commonly used in the testing and validation of such networks. Finally, we discuss open issues and give insights on future research directions for the advancement of integrated TN-NTNs virtualization in the 6G era.
Additional file 2 of Analyzing development finance flows in the Western Balkans’ energy sector: a 2008–2020 perspective
Creators: name: Causevic, Amar
name: Macura, Biljana
name: Haque, Nabil
name: Solujic, Sasa
name: Ploskić, Adnan
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Science Policy
subject: Computational Biology

description: Additional file 2: Annex S2. It includes table and figures generated from the OECD DAC CRS data—Table S1. Distribution of purpose codes per the sub-sector in examined countries. Fig. S1. Total disbursed energy sector development finance flows per country and sub-sector. Fig. S2. Total disbursed energy sector development finance per country and purpose code. Fig. S3. Total disbursed energy sector development finance per country and financial instrument. Fig. S4. Bilateral and multilateral disbursed energy sector development finance providers per country.
Analysis of optical quantum state preparation using photon detectors in the finite-temporal-resolution regime
Creators: name: Sonoyama, Tatsuki
name: Asavanant, Warit
name: Fukui, Kosuke
name: Endo, Mamoru
name: Yoshikawa, Jun-ichi
name: Furusawa, Akira
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum state preparation is important for quantum information processing. In particular, in optical quantum computing with continuous variables, non-Gaussian states are needed for universal operation and error correction. Optical non-Gaussian states are usually generated by heralding schemes using photon detectors. In previous experiments, the temporal resolution of the photon detectors was sufficiently high relative to the time width of the quantum state, so that the conventional theory of non-Gaussian state preparation treated the detector's temporal resolution as negligible. However, when using various photon detectors including photon-number-resolving detectors, the temporal resolution is non-negligible. In this paper, we extend the conventional theory of quantum state preparation using photon detectors to the finite temporal resolution regime, analyze the cases of single-photon and two-photon preparation as examples, and find that the generated states are characterized by the dimensionless parameter $B$, defined as the product of the temporal resolution of the detectors $Δt$ and the bandwidth of the light source $Δf$. Based on the results, $B\sim0.1$ is required to keep the purity and fidelity of the generated quantum states high.
description: 9 pages, 7 figures
Supplemental_materials_revised – Supplemental material for How to Correct for Computer Experience in Online Cognitive Testing?
Creators: name: Kjoe, Philippe R. Lee Meeuw
name: Rentergem, Joost A. Agelink Van
name: Vermeulen, Ivar E.
name: Schagen, Sanne B.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Supplemental_materials_revised for How to Correct for Computer Experience in Online Cognitive Testing? by Philippe R. Lee Meeuw Kjoe, Joost A. Agelink van Rentergem, Ivar E. Vermeulen and Sanne B. Schagen in Assessment
Monte-Carlo ray-tracing studies of multiplexed prismatic graphite analyzers for the cold-neutron triple-axis spectrometer at the High Flux Isotope Reactor
Creators: name: Desai, Adit S.
name: Williams, Travis J.
name: Daum, Marcus
name: Sala, Gabriele
name: Aczel, Adam A.
name: Granroth, Garrett E.
name: Mourigal, Martin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: A modern cold triple-axis spectrometer to study quantum condensed matter systems is planned for the High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory. Here, we describe the conceptual principles and design of a secondary spectrometer using a multiplexed, prismatic analyzer system relying on graphite crystals and inspired by the successful implementation of the Continuous Angle Multiple Energy Analysis (CAMEA) spectrometers at the Paul Scherrer Institute. This project is currently known as MANTA for Multi-analyzer Neutron Triple-Axis. We report Monte-Carlo ray-tracing simulations on a simple but realistic sample scattering kernel to further illustrate the prismatic analyzer concept's workings, calibration, and performance. Then, we introduce a new statistical analysis approach based on the prismatic analyzer concept to improve the number of final energies measured on the spectrometer. We also study possible evolutions in the CAMEA design relevant for MANTA.
description: 11 pages, 11 figures
sj-docx-1-tab-10.1177_1759720X20912861 – Supplemental material for Association between platelet count and osteoarthritis in women older than 50 years
Creators: name: Kwon, Yu-Jin
name: Koh, Il-Hyun
name: Chung, Kwangho
name: Lee, Yong-Jae
name: Kim, Hyoung-Sik
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: FOS: Health sciences
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-1-tab-10.1177_1759720X20912861 for Association between platelet count and osteoarthritis in women older than 50 years by Yu-Jin Kwon, Il-Hyun Koh, Kwangho Chung, Yong-Jae Lee and Hyoung-Sik Kim in Therapeutic Advances in Musculoskeletal Disease
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
Creators: name: Hollenstein, Jakob
name: Martius, Georg
name: Piater, Justus
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Proximal Policy Optimization (PPO), a popular on-policy deep reinforcement learning method, employs a stochastic policy for exploration. In this paper, we propose a colored noise-based stochastic policy variant of PPO. Previous research highlighted the importance of temporal correlation in action noise for effective exploration in off-policy reinforcement learning. Building on this, we investigate whether correlated noise can also enhance exploration in on-policy methods like PPO. We discovered that correlated noise for action selection improves learning performance and outperforms the currently popular uncorrelated white noise approach in on-policy methods. Unlike off-policy learning, where pink noise was found to be highly effective, we found that a colored noise, intermediate between white and pink, performed best for on-policy learning in PPO. We examined the impact of varying the amount of data collected for each update by modifying the number of parallel simulation environments for data collection and observed that with a larger number of parallel environments, more strongly correlated noise is beneficial. Due to the significant impact and ease of implementation, we recommend switching to correlated noise as the default noise source in PPO.
ASN914768 Supplemental Material - Supplemental material for Unbiased Proteomic Approach Identifies Pathobiological Profiles in the Brains of Preclinical Models of Repetitive Mild Traumatic Brain Injury, Tauopathy, and Amyloidosis
Creators: name: Ojo, Joseph O.
name: Gogce Crynen
name: Algamal, Moustafa
name: Prashanti Vallabhaneni
name: Leary, Paige
name: Benoit Mouzon
name: Reed, Jon M.
name: Mullan, Michael
name: Crawford, Fiona
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine

description: Supplemental material, ASN914768 Supplemental Material for Unbiased Proteomic Approach Identifies Pathobiological Profiles in the Brains of Preclinical Models of Repetitive Mild Traumatic Brain Injury, Tauopathy, and Amyloidosis by Joseph O. Ojo, Gogce Crynen, Moustafa Algamal, Prashanti Vallabhaneni, Paige Leary, Benoit Mouzon, Jon M. Reed, Michael Mullan and Fiona Crawford in ASN Neuro
sj-pdf-1-sms-10.1177_2056305120903856 – Supplemental material for Platformed Interactions: How Social Media Platforms Relate to Candidate–Constituent Interaction During Finnish 2015 Election Campaigning
Creators: name: Nelimarkka, Matti
name: Salla-Maaria Laaksonen
name: Tuokko, Mari
name: Valkonen, Tarja
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications

description: Supplemental material, sj-pdf-1-sms-10.1177_2056305120903856 for Platformed Interactions: How Social Media Platforms Relate to Candidate–Constituent Interaction During Finnish 2015 Election Campaigning by Matti Nelimarkka, Salla-Maaria Laaksonen, Mari Tuokko and Tarja Valkonen in Social Media + Society
Additional file 1 of Measuring resilience and stress during pregnancy and its relation to vulnerability and pregnancy outcomes in a nulliparous cohort study
Creators: name: Alves, Anic C.
name: Souza, Renato T.
name: Mayrink, Jussara
name: Galvao, Rafael B.
name: Costa, Maria L.
name: Feitosa, Francisco E.
name: Rocha Filho, Edilberto A.
name: Leite, Débora F.
name: Tedesco, Ricardo P.
name: Santana, Danielly S.
name: Fernandes, Karayna G.
name: Miele, Maria J.
name: Souza, Joao P.
name: Cecatti, Jose G.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Table S1. Inclusion and exclusion criteria of MaternalActigraphy Exploratory Study I (MAES-I). Figure S1. Distribution ofResilience scores among women from MAES-I study.
Additional file 1 of Utility of indium-111 platelet scintigraphy for understanding the mechanism of thrombocytopenia associated with myelodysplastic syndromes and chronic myelomonocytic leukemia
Creators: name: Durand, Pauline
name: Pottier, Valérie
name: Mesguich, Charles
name: Debordeaux, Frédéric
name: Lazaro, Estibaliz
name: Viallard, Jean-François
name: Rivière, Etienne
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Hematology
subject: Plant Biology
subject: FOS: Biological sciences

description: Additional file 1. Supplemental details on the methodology
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network
Creators: name: Hribar, Jernej
name: Dusparic, Ivana
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Deep Reinforcement Learning (DRL) solutions are becoming pervasive at the edge of the network as they enable autonomous decision-making in a dynamic environment. However, to be able to adapt to the ever-changing environment, the DRL solution implemented on an embedded device has to continue to occasionally take exploratory actions even after initial convergence. In other words, the device has to occasionally take random actions and update the value function, i.e., re-train the Artificial Neural Network (ANN), to ensure its performance remains optimal. Unfortunately, embedded devices often lack processing power and energy required to train the ANN. The energy aspect is particularly challenging when the edge device is powered only by a means of Energy Harvesting (EH). To overcome this problem, we propose a two-part algorithm in which the DRL process is trained at the sink. Then the weights of the fully trained underlying ANN are periodically transferred to the EH-powered embedded device taking actions. Using an EH-powered sensor, real-world measurements dataset, and optimizing for Age of Information (AoI) metric, we demonstrate that such a DRL solution can operate without any degradation in the performance, with only a few ANN updates per day.
Towards Seamless Serverless Computing Across an Edge-Cloud Continuum
Creators: name: Simion, Emilian
name: Wang, Yuandou
name: Tai, Hsiang-ling
name: Odyurt, Uraz
name: Zhao, Zhiming
Publisher: name: arXiv
Year: 2024
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Serverless computing has emerged as an attractive paradigm due to the efficiency of development and the ease of deployment without managing any underlying infrastructure. Nevertheless, serverless computing approaches face numerous challenges to unlock their full potential in hybrid environments. To gain a deeper understanding and firsthand knowledge of serverless computing in edge-cloud deployments, we review the current state of open-source serverless platforms and compare them based on predefined requirements. We then design and implement a serverless computing platform with a novel edge orchestration technique that seamlessly deploys serverless functions across the edge and cloud environments on top of the Knative serverless platform. Moreover, we propose an offloading strategy for edge environments and four different functions for experimentation and showcase the performance benefits of our solution. Our results demonstrate that such an approach can efficiently utilize both cloud and edge resources by dynamically offloading functions from the edge to the cloud during high activity, while reducing the overall application latency and increasing request throughput compared to an edge-only deployment.
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
Creators: name: Zbinden, Robin
name: van Tiel, Nina
name: Kellenberger, Benjamin
name: Hughes, Lloyd
name: Tuia, Devis
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: Machine Learning (cs.LG)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: Species distribution modeling is a highly versatile tool for understanding the intricate relationship between environmental conditions and species occurrences. However, the available data often lacks information on confirmed species absence and is limited to opportunistically sampled, presence-only observations. To overcome this limitation, a common approach is to employ pseudo-absences, which are specific geographic locations designated as negative samples. While pseudo-absences are well-established for single-species distribution models, their application in the context of multi-species neural networks remains underexplored. Notably, the significant class imbalance between species presences and pseudo-absences is often left unaddressed. Moreover, the existence of different types of pseudo-absences (e.g., random and target-group background points) adds complexity to the selection process. Determining the optimal combination of pseudo-absences types is difficult and depends on the characteristics of the data, particularly considering that certain types of pseudo-absences can be used to mitigate geographic biases. In this paper, we demonstrate that these challenges can be effectively tackled by integrating pseudo-absences in the training of multi-species neural networks through modifications to the loss function. This adjustment involves assigning different weights to the distinct terms of the loss function, thereby addressing both the class imbalance and the choice of pseudo-absence types. Additionally, we propose a strategy to set these loss weights using spatial block cross-validation with presence-only data. We evaluate our approach using a benchmark dataset containing independent presence-absence data from six different regions and report improved results when compared to competing approaches.
ИЛГАРИ СУДЛАНГАН ШАХСЛАР ЖИНОЯТЛАРИНИНГ ПРОФИЛАКТИКАСИ БЎЙИЧА АЙРИМ ХОРИЖИЙ ДАВЛАТЛАР ТАЖРИБАСИ
Creators: name: Umbarov, Xurshid
Publisher: name: Zenodo
Year: 2025

description: Mazkur maqolada ilgari sudlangan shaxslarning kriminologik tavsifi tahlil qilingan. Jinoyat sodir etgan shaxslarning ijtimoiy-ma’naviy xususiyatlari, ularning jinoiy xatti-harakatlariga ta’sir etuvchi omillar, shu jumladan, ma’naviy, ijtimoiy, iqtisodiy va psixologik sabablar yoritilgan.
Supplementary_Methods_1 – Supplemental material for Changed cortical risk gene expression in major depression and shared changes in cortical gene expression between major depression and bipolar disorders
Creators: name: Scarr, Elizabeth
name: Madhara Udawela
name: Dean, Brian
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: Neuroscience

description: Supplemental material, Supplementary_Methods_1 for Changed cortical risk gene expression in major depression and shared changes in cortical gene expression between major depression and bipolar disorders by Elizabeth Scarr, Madhara Udawela and Brian Dean in Australian & New Zealand Journal of Psychiatry
Supplemental_materials – Supplemental material for Effects of semantic neighbourhood density on spoken word production
Creators: name: Hameau, Solène
name: Nickels, Lyndsey
name: Biedermann, Britta
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Supplemental_materials for Effects of semantic neighbourhood density on spoken word production by Solène Hameau, Lyndsey Nickels and Britta Biedermann in Quarterly Journal of Experimental Psychology