cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Revolution in Egyptology, or an Egyptology of the Revolution? Changing Perspectives on Ancient Egypt in Russia
Creators: name: Loktionov, Alexandre
Publisher: name: Zaphon Verlag
Year: 2023
Subjects: Egyptology
Russia
Communism

description: Russia, and the various contrasting political entities that have embraced it over the past two centuries, provides an excellent setting for studies of how political change can influence academic disciplines. Egyptology is no exception in this regard, and this paper will seek to demonstrate how in a Russian context this discipline went through a number of phases aligned with the shifting political and socio-economic landscapes. While illustrating how novel political phenomena could trigger academic evolutions, it will also show that certain key facets of Russian Egyptology have proved remarkably enduring, while some academic developments that one may at first sight attribute wholly to political influence may in fact have been brought about by other, at times purely accidental, factors.
MARIA AUREA BARONI CECATO.pdf
Creators: name: ARMANDO ALBUQUERQUE
name: MARIA AUREA BARONI CECATO
Publisher: name: figshare
Year: 2017
Subjects: subject: Law
subject: FOS: Law

description: En este artículo se propone abordar la democracia y la ciudadanía de un punto de vista meramente procedimental o formal. Más precisamente, se trata de analizar la democracia y la ciudadanía de esta configuración en América Latina. Su punto de partida es una distinción dicotómica entre la democracia electoral y la democracia liberal que se infiere de las repercusiones de los mismos en la ciudadanía de América Latina. Además de un marco teórico que incluye una teoría empírica de la democracia los datos utilizados provienen del informe Freedom in the World 2016.
DEEP-LEARNING GUIDED STRUCTURAL OBJECT DETECTION IN LARGE-SCALE, OCCLUDED INDOOR POINT CLOUD DATASETS
Creators: name: Drobnyi, Viktor
name: Li, Shuyan
name: Brilakis, Ioannis
Publisher: name: Apollo - University of Cambridge Repository
Year: 2023

description: Automatic geometry digitisation of existing buildings remains challenging due to the large scale and heavy clutter of input point clouds. This paper presents a two-stage hybrid method to detect structural objects. The first stage detects areas of interest that are likely to contain an object, while the second stage finds precise objects. The method benefits from data-driven and model-driven approaches to achieve high accuracy for large-scale, highly cluttered and occluded real-world environments. We evaluate our method on the Stanford3D S3DIS dataset to show that the method detects from 83% to 98% of structural objects, such as columns, doors and windows.
CELSO FIORILLO.pdf
Creators: name: CELSO ANTONIO PACHECO FIORILLO
name: RENATA MARQUES FERREIRA
Publisher: name: figshare
Year: 2017
Subjects: subject: Law
subject: FOS: Law

description: In order to regulate the item VII of § 1 of Art. 225 of the Federal Constitution, establishing procedures for the scientific use of animals (creation and use of animals in teaching and scientific research activities), the law nº 11.794 / 2008 not only restricts the use of animals in educational activities to higher education and technical vocational education establishments of average level of biomedicine as also ratifies the anthropocentric interpretation of environmental law in favor of life to define the animal's death by " humanitarian means". The death by humanitarian ways means animal death involving a minimum of physical or mental suffering. With the advent of the law beyond the obligation of structuring the CEUAs - the Ethics Committee in the Use of Animals- next to the IES, its members and the teaching institution itself also come to respond according to the constitutional structure of triple and solidarity environmental responsibility. Thus the actual meaning of the content indicated in art. 225, § 1, VII of the Federal Constitution must be observed in favor of a scientific development not only adapted to the progress of science, but mainly oriented to the solution of Brazilian problems (CF art.218) within a linked interpretation not only to the dignity of the human person as the so-called welfare of animals defined by expert criteria.
Towards Multimodal VR Trainer of Voice Emission and Public Speaking: Work-in-Progress
Creators: name: Igras-Cybulska, Magdalena
name: Hekiert, Daniela
name: Cybulski, Artur
name: Tadeja, Slawomir
name: Witkowski, Marcin
name: Nakonieczny, Konrad
name: Augustyn, Izabela
name: Jasiński, Jan
name: Hemmerling, Daria
name: Skrzek, Tomasz
name: Kacprzak, Stanisław
name: Kaczorowska, Magdalena
name: Juros, Julia
name: Warzeszka, Marek
name: Migaczewska, Ewa
name: Malawski, Filip
name: Słomka, Paulina
name: Salamon, Rafał
name: Szumiec, Aleksandra
name: Kornacka, Kinga
name: Błaszczyński, Bartłomiej
name: Błaszczyńska, Katarzyna
name: Sterna, Radosław
name: Makowiec, Marek
name: Majdak, Magdalena
Publisher: name: Apollo - University of Cambridge Repository
Year: 2023

description: GlossoVR is a virtual reality (VR) application that combines training in public speaking in front of a virtual audience and in voice emission in relaxation exercises. It is accompanied by digital signal processing (DSP) and artificial intelligence (AI) modules which provide automatic feedback on the vocal performance as well as the behavior and psychophysiology of the user. In particular, we address parameters of speech emotions, prosody and timbre, and the user's hand gestures and eye movement. The prototype is in the proof of concept phase, and we are developing it in accordance with the user-centered design paradigm. In this article reports the work in progress, focusing on the approaches, datasets and algorithms applied in the current state of the glossoVR project.
Edge Federated Learning Via Unit-Modulus Over-The-Air Computation
Creators: name: Wang, Shuai
name: Hong, Yuncong
name: Wang, Rui
name: Hao, Qi
name: Wu, Yik-Chung
name: Ng, Derrick Wing Kwan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Edge federated learning (FL) is an emerging paradigm that trains a global parametric model from distributed datasets based on wireless communications. This paper proposes a unit-modulus over-the-air computation (UMAirComp) framework to facilitate efficient edge federated learning, which simultaneously uploads local model parameters and updates global model parameters via analog beamforming. The proposed framework avoids sophisticated baseband signal processing, leading to low communication delays and implementation costs. Training loss bounds of UMAirComp FL systems are derived and two low-complexity large-scale optimization algorithms, termed penalty alternating minimization (PAM) and accelerated gradient projection (AGP), are proposed to minimize the nonconvex nonsmooth loss bound. Simulation results show that the proposed UMAirComp framework with PAM algorithm achieves a smaller mean square error of model parameters' estimation, training loss, and test error compared with other benchmark schemes. Moreover, the proposed UMAirComp framework with AGP algorithm achieves satisfactory performance while reduces the computational complexity by orders of magnitude compared with existing optimization algorithms. Finally, we demonstrate the implementation of UMAirComp in a vehicle-to-everything autonomous driving simulation platform. It is found that autonomous driving tasks are more sensitive to model parameter errors than other tasks since the neural networks for autonomous driving contain sparser model parameters.
description: IEEE Transactions on Communications, vol. 70, no. 5, 2022
SYNTHESIS AND CHARACTERIZATION OF MAGNESIUM NANOPARTICLES AND TOXICITY STUDY IN ZEBRAFISH EMBRYOS
Creators: name: Kritika Vajpayee
name: Sangeetha S
name: Taniya M
name: M Sundaram K
name: Lavanya Prathap
Publisher: name: Zenodo
Year: 2024
Subjects: Thespesia Populnea, Nano-Herbal Formulation, Embryo Toxicity, Zebrafish Embryo, Nanoparticle.

description: Abstract

Nano-herbal formulations offer a promising avenue for utilizing the therapeutic potential of traditional medicinal plants at the nanoscale. Thespesia populnea, known for its medicinal properties, contains bioactive compounds with diverse pharmacological activities. Incorporating Thespesia populnea extracts into nano-sized formulations enhances bioavailability and targeted delivery. However, ensuring the safety of these formulations is essential, necessitating the evaluation of their embryotoxicity profile. This study synthesized nanoparticles from Thespesia populnea leaf extracts using MgO solution and assessed their embryotoxicity using zebrafish embryos. Results revealed no adverse effects on zebrafish embryo development across various time intervals. These findings suggest the safety of the synthesized nano-herbal formulation, indicating its potential for further biomedical applications. Nonetheless, additional research is needed to explore safety, efficacy, and the broader ecological implications of magnesium nanoparticles. This study contributes to understanding the synthesis process and the potential impacts on aquatic organisms, highlighting the necessity for ongoing investigation.
Additional file 1: of Failure of remission induction by glucocorticoids alone or in combination with immunosuppressive agents in IgG4-related disease: a prospective study of 215 patients
Creators: name: Wang, Liwen
name: Zhang, Panpan
name: Wang, Mu
name: Feng, Ruie
name: Lai, Yamin
name: Peng, Linyi
name: Fei, Yunyun
name: Zhang, Xuan
name: Zhao, Yan
name: Zeng, Xiaofeng
name: Zhang, Fengchun
name: Zhang, Wen
Publisher: name: figshare
Year: 2018
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology

description: Outcomes of remission induction in the patients diagnosed with definite, probable and possible IgG4-RD. (DOCX 71 kb)
Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation
Creators: name: Thodi, Bilal Thonnam
name: Khan, Zaid Saeed
name: Jabari, Saif Eddin
name: Menendez, Monica
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We propose a kinematic wave-based Deep Convolutional Neural Network (Deep CNN) to estimate high-resolution traffic speed fields from sparse probe vehicle trajectories. We introduce two key approaches that allow us to incorporate kinematic wave theory principles to improve the robustness of existing learning-based estimation methods. First, we propose an anisotropic traffic kernel for the Deep CNN. The anisotropic kernel explicitly accounts for space-time correlations in macroscopic traffic and effectively reduces the number of trainable parameters in the Deep CNN model. Second, we propose to use simulated data for training the Deep CNN. Using a targeted simulated data for training provides an implicit way to impose desirable traffic physical features on the learning model. In the experiments, we highlight the benefits of using anisotropic kernels and evaluate the transferability of the trained model to real-world traffic using the Next Generation Simulation (NGSIM) and the German Highway Drone (HighD) datasets. The results demonstrate that anisotropic kernels significantly reduce model complexity and model over-fitting, and improve the physical correctness of the estimated speed fields. We find that model complexity scales linearly with problem size for anisotropic kernels compared to quadratic scaling for isotropic kernels. Furthermore, evaluation on real-world datasets shows acceptable performance, which establishes that simulation-based training is a viable surrogate to learning from real-world data. Finally, a comparison with standard estimation techniques shows the superior estimation accuracy of the proposed method.
description: 18 pages, 13 figures
Enhancing modified gravity detection from gravitational-wave observations using the Parametrized ringdown spin expansion coefficients formalism
Creators: name: Carullo, Gregorio
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Harvesting the full potential of black hole spectroscopy demands realising the importance of casting constraints on modified theories of gravity in a framework as general and robust as possible. Requiring more stringent -- yet well-motivated -- beyond General Relativity (GR) parametrizations improves the inference drawn from available GW data, substantially decreasing the errors on deviation parameters. This implies a reduction in the number of signals needed to detect a deviation from GR predictions and an increase of the number of GR-violating coefficients that can be meaningfully constrained with a given number of signals. To this end, we apply to LIGO-Virgo observations a high-spin version of the Parametrized ringdown spin expansion coefficients (ParSpec) formalism, encompassing large classes of modified theories of gravity. We constrain the lowest-order perturbative deviation of the fundamental ringdown frequency to be $δω^{0}_{220} = {-0.05}^{+0.05}_{-0.05}$, when assuming adimensional beyond-GR couplings, substantially improving upon previously published results. We also establish upper bounds $\ell_{p=2} < 23 \, \mathrm{km}$, $\ell_{p=4} < 35 \, \mathrm{km}$, $\ell_{p=6} < 42 \, \mathrm{km}$ on the scale $\ell_p$ at which the appearance of new physics is disfavoured, depending on the mass dimension $p$ of the ringdown coupling. These bounds exceed the ones obtained by previous analyses or are competitive with existing ones, depending on the specific alternative theory considered, and promise to quickly improve as the number of detectors, sensitivity and duty-cycle of the gravitational-wave network steadily increases.
description: 22 pages, 4 figures, 5 tables. Matches published version. Added software release
Visualisierung als quantitative Lesart. Einige Experimente aus der Jean Paul-Briefedition
Creators: name: Neuber, Frederike
Publisher: name: Zenodo
Year: 2019
Subjects: Digital Humanities
Jean Paul Richter
Jean Paul
Visualisierung
Digital Edition
Digital Editing
Correspondence

description: Präsentation auf dem Workshop „Visualisierungen in (digitalen) Editionen“, Düsseldorf, Nordrhein-Westfälischen Akademie der Wissenschaften und der Künste, 21.5.2019.
Additional file 2: of Failure of remission induction by glucocorticoids alone or in combination with immunosuppressive agents in IgG4-related disease: a prospective study of 215 patients
Creators: name: Wang, Liwen
name: Zhang, Panpan
name: Wang, Mu
name: Feng, Ruie
name: Lai, Yamin
name: Peng, Linyi
name: Fei, Yunyun
name: Zhang, Xuan
name: Zhao, Yan
name: Zeng, Xiaofeng
name: Zhang, Fengchun
name: Zhang, Wen
Publisher: name: figshare
Year: 2018
Subjects: subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Side effects observed during treatment. (DOCX 68 kb)
Table S1>Individual behavioural data from Flexible motor adjustment of pecking with an artificially extended bill in crows but not in pigeons
Creators: name: Matsui, Hiroshi
name: Ei-Ichi Izawa
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Neuroscience
subject: 170299 Cognitive Science not elsewhere classified
subject: FOS: Psychology
subject: 60801 Animal Behaviour
subject: FOS: Biological sciences

description: The dextrous foraging skills of primates, including humans, are underpinned by flexible vision-guided control of the arms/hands and even tools as body-part extensions. This capacity involves a visuomotor conversion process that transfers the locations of the hands/arms and a target in retinal coordinates into body coordinates to generate a reaching/grasping movement and to correct online. Similar capacities have evolved in birds, such as tool use in corvids and finches, which represents the flexible motor control of extended body parts. However, the flexibility of avian head-reaching and bill-grasping with body-part extensions remains poorly understood. This study comparatively investigated the flexibility of pecking with an artificially extended bill in crows and pigeons. Pecking performance and kinematics were examined when the bill extension was attached, and after its removal. The bill extension deteriorated pecking in pigeons in both performance and kinematics over 10 days. After the bill removal, pigeons started bill-grasping earlier, indicating motor adaptation to the bill extension. Contrastingly, pecking in crows was deteriorated transiently with the bill extension, but was recovered by adjusting pecking at closer distances, suggesting a quick adjustment to the bill extension. These results indicate flexible visuomotor control to extended body parts in crows but not in pigeons.
Additional file 3: of Failure of remission induction by glucocorticoids alone or in combination with immunosuppressive agents in IgG4-related disease: a prospective study of 215 patients
Creators: name: Wang, Liwen
name: Zhang, Panpan
name: Wang, Mu
name: Feng, Ruie
name: Lai, Yamin
name: Peng, Linyi
name: Fei, Yunyun
name: Zhang, Xuan
name: Zhao, Yan
name: Zeng, Xiaofeng
name: Zhang, Fengchun
name: Zhang, Wen
Publisher: name: figshare
Year: 2018
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer

description: Clinical features, treatments and outcomes of the patients with persistently active disease. (DOCX 70 kb)
Simulation-based education, training and research in anesthesiology
Creators: name: Savoldelli, Georges Louis
Publisher: name: Université de Genève
Year: 2012
Subjects: info:eu-repo/classification/ddc/617
Anesthesiology
Simulation
Simultaor
Education
Training
Research
Medical Education

description: Over the past two decades, there has been a worldwide exponential growth in the use of simulation in healthcare. Anesthesiologists were among the pioneers to develop simulation-based education, training and research in medicine. Simulation for such purposes in this discipline includes the use of tasks trainers, which fidelity goes from simple low-tech to complex virtual reality simulators, computer-based simulations, full scale simulations using high-fidelity mannequins, and many other techniques. The present work reviews and summarizes the research conducted on the use of simulation for education, training and research in anesthesiology, with a special focus on the contribution of our research group in the understanding of this domain. It reviews the following areas: the definitions of simulation and simulators; the theories and educational principles underpinning simulation-based education; the evaluation of the use and the impact of simulation in anesthesiology to teach specific technical skills and generic non-technical skills; and finally the use of simulation as an evaluation tool for summative assessment and as a means for research in human factors. The evidence presented in this review supports the claim that simulation techniques are an essential tool both in anesthesiology and in many other healthcare professions. Some recent findings even suggest that the use of simulation may be cost-effective, since for some very specific skills such as central venous line placement and neonatal resuscitation, it has been shown to improve patient care and to reduce patient adverse events. Because the future adoption and dissemination of simulation will depend on our capacity as educators, clinicians and researchers to gather more convincing evidence, current and future research perspectives of particular interests for our study group are discussed.
Additional file 1: of Community health education improves child health care in Rural Western China
Creators: name: Liang, Weifeng
name: Xing, Yuan
name: Pang, Miaomiao
name: Wang, Duolao
name: Yan, Hong
Publisher: name: figshare
Year: 2018
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: The questionnaire. (DOC 313Â kb)
Figure S3>Grasping onset at different positions in an array and the order of successive pecks in the control phase. from Flexible motor adjustment of pecking with an artificially extended bill in crows but not in pigeons
Creators: name: Matsui, Hiroshi
name: Ei-Ichi Izawa
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Neuroscience
subject: 170299 Cognitive Science not elsewhere classified
subject: FOS: Psychology
subject: 60801 Animal Behaviour
subject: FOS: Biological sciences

description: The dextrous foraging skills of primates, including humans, are underpinned by flexible vision-guided control of the arms/hands and even tools as body-part extensions. This capacity involves a visuomotor conversion process that transfers the locations of the hands/arms and a target in retinal coordinates into body coordinates to generate a reaching/grasping movement and to correct online. Similar capacities have evolved in birds, such as tool use in corvids and finches, which represents the flexible motor control of extended body parts. However, the flexibility of avian head-reaching and bill-grasping with body-part extensions remains poorly understood. This study comparatively investigated the flexibility of pecking with an artificially extended bill in crows and pigeons. Pecking performance and kinematics were examined when the bill extension was attached, and after its removal. The bill extension deteriorated pecking in pigeons in both performance and kinematics over 10 days. After the bill removal, pigeons started bill-grasping earlier, indicating motor adaptation to the bill extension. Contrastingly, pecking in crows was deteriorated transiently with the bill extension, but was recovered by adjusting pecking at closer distances, suggesting a quick adjustment to the bill extension. These results indicate flexible visuomotor control to extended body parts in crows but not in pigeons.
Novel Discrete Immolative Guanidinium Transporters Deliver mRNA Selectively to the Spleen, Lungs, and Red Blood Cells, Reaching the Brain
Creators: name: Hamad, Jennifer
name: Wender, Paul
Publisher: name: Stanford Digital Repository
Year: 2025
Subjects: subject: drug delivery
subject: lipid nanoparticles
subject: organ selectivity
subject: mRNA

description: RNA-based therapeutics hold the potential to transform the prevention and treatment of disease with applications to therapeutic and prophylactic vaccinations, protein therapy, gene editing, cancer immunotherapy, and regenerative medicine. However, current systems used to deliver messenger RNA (mRNA), including those used in the COVID-19 vaccines, suffer from laborious syntheses, limited organ selectivity, formulation complexity, and undesired inflammatory responses mediated by the existence of persistently charged lipids in the body. This inspired the generation of a novel mRNA delivery system termed Discrete Immolative Guanidinium Transporters (DIGITs). Unlike most ionizable (ammonium) delivery systems, DIGITs are based on cationic guanidinium moieties, which complex mRNA at acidic pH and undergo irreversible charge neutralization at physiological pH to release their cargos in cells, enabling efficient RNA release and leaving behind neutral byproducts. Systematic evaluation of structural variations and formulations via in vivo bioluminescence assays, following delivery of fluorescent mRNA, led to the discovery of DIGIT/mRNA complexes that selectively target and deliver mRNA to the lungs, immune cells in the spleen, and even immature red blood cells in peripheral blood that can reach the brain. DIGIT/mRNA delivery systems, thus, provide a unique and innovative opportunity to develop cancer immunotherapies, personalized cancer vaccines, in vivo CAR T-cell therapies, and blood disorder and Alzheimer’s therapeutics, among other applications. This is supported by the finding that DIGIT/mRNA complexes are well-tolerated, following intravenous delivery, supporting their future utility in a variety of biomedical applications, affecting hundreds of millions of people worldwide.
Valence-bond solid to antiferromagnet transition in the two-dimensional Su-Schrieffer-Heeger model by Langevin dynamics
Creators: name: Götz, Anika
name: Beyl, Stefan
name: Hohenadler, Martin
name: Assaad, Fakher F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The two-dimensional Su-Schrieffer-Heeger model of electrons coupled to quantum phonons is investigated using Langevin dynamics within the framework of auxiliary-field quantum Monte Carlo. Based on an explicit determination of the density of zeros of the fermion determinant, it is argued that the method is efficient in the challenging adiabatic limit. Large-scale simulations at the O(4)-symmetric point establish that the ground state of the 2D SSH model undergoes a transition from a $(π,π)$ valence bond solid to an antiferromagnet with increasing phonon frequency, yet still in the adiabatic regime. The single-particle spectrum illustrates the renormalization of the electronic band and suggests the existence of a gapped polaronic band, whereas the particle-hole channels show gapless modes associated with long-range bond and magnetic order, respectively. The simulations are supplemented with a mean-field analysis and a self-consistent Born proximation.
description: 14 pages, 16 Figures
Additional file 2: of Community health education improves child health care in Rural Western China
Creators: name: Liang, Weifeng
name: Xing, Yuan
name: Pang, Miaomiao
name: Wang, Duolao
name: Yan, Hong
Publisher: name: figshare
Year: 2018
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Science Policy

description: Interview guide. (DOC 212Â kb)
Additional file 4: of Failure of remission induction by glucocorticoids alone or in combination with immunosuppressive agents in IgG4-related disease: a prospective study of 215 patients
Creators: name: Wang, Liwen
name: Zhang, Panpan
name: Wang, Mu
name: Feng, Ruie
name: Lai, Yamin
name: Peng, Linyi
name: Fei, Yunyun
name: Zhang, Xuan
name: Zhao, Yan
name: Zeng, Xiaofeng
name: Zhang, Fengchun
name: Zhang, Wen
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Molecular Biology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences

description: Clinical features, treatments and outcomes of the patients who relapsed during GC tapering. (DOCX 130 kb)
MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach
Creators: name: Samo, Yves-Laurent Kom
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Information Theory (cs.IT)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We propose a novel estimator of the mutual information between two ordinal vectors $x$ and $y$. Our approach is inductive (as opposed to deductive) in that it depends on the data generating distribution solely through some nonparametric properties revealing associations in the data, and does not require having enough data to fully characterize the true joint distributions $P_{x, y}$. Specifically, our approach consists of (i) noting that $I\left(y; x\right) = I\left(u_y; u_x\right)$ where $u_y$ and $u_x$ are the copula-uniform dual representations of $y$ and $x$ (i.e. their images under the probability integral transform), and (ii) estimating the copula entropies $h\left(u_y\right)$, $h\left(u_x\right)$ and $h\left(u_y, u_x\right)$ by solving a maximum-entropy problem over the space of copula densities under a constraint of the type $α_m = E\left[ϕ_m(u_y, u_x)\right]$. We prove that, so long as the constraint is feasible, this problem admits a unique solution, it is in the exponential family, and it can be learned by solving a convex optimization problem. The resulting estimator, which we denote MIND, is marginal-invariant, always non-negative, unbounded for any sample size $n$, consistent, has MSE rate $O(1/n)$, and is more data-efficient than competing approaches. Beyond mutual information estimation, we illustrate that our approach may be used to mitigate mode collapse in GANs by maximizing the entropy of the copula of fake samples, a model we refer to as Copula Entropy Regularized GAN (CER-GAN).
description: Code: https://github.com/kxytechnologies/kxy-python
Figure S1>Plots of mean velocity and movement distance from Flexible motor adjustment of pecking with an artificially extended bill in crows but not in pigeons
Creators: name: Matsui, Hiroshi
name: Ei-Ichi Izawa
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Neuroscience
subject: 170299 Cognitive Science not elsewhere classified
subject: FOS: Psychology
subject: 60801 Animal Behaviour
subject: FOS: Biological sciences

description: The dextrous foraging skills of primates, including humans, are underpinned by flexible vision-guided control of the arms/hands and even tools as body-part extensions. This capacity involves a visuomotor conversion process that transfers the locations of the hands/arms and a target in retinal coordinates into body coordinates to generate a reaching/grasping movement and to correct online. Similar capacities have evolved in birds, such as tool use in corvids and finches, which represents the flexible motor control of extended body parts. However, the flexibility of avian head-reaching and bill-grasping with body-part extensions remains poorly understood. This study comparatively investigated the flexibility of pecking with an artificially extended bill in crows and pigeons. Pecking performance and kinematics were examined when the bill extension was attached, and after its removal. The bill extension deteriorated pecking in pigeons in both performance and kinematics over 10 days. After the bill removal, pigeons started bill-grasping earlier, indicating motor adaptation to the bill extension. Contrastingly, pecking in crows was deteriorated transiently with the bill extension, but was recovered by adjusting pecking at closer distances, suggesting a quick adjustment to the bill extension. These results indicate flexible visuomotor control to extended body parts in crows but not in pigeons.
title: BEEHAVE - Simulating the effects of weeds in treated fields on honey bee colony development
Creators: name: Becher, Matthias
name: Lückmann, Johannes
name: Bluhm, Wally
name: Metz, Marcus
name: Schmolke, Amelie
name: Jakoby, Oliver
Publisher: name: Bundesbehörden und Einrichtungen im Geschäftsbereich des Bundesministeriums für Ernährung und Landwirtschaft (BMEL)
Year: 2025
Subjects: subject: 630

description: Julius-Kühn-Archiv, vol. 481Hazards of pesticides to bees, 16th International Symposium of the ICP-PR Bee Protection Group, - Proceedings -; 15th - 17th October, 2024; Sevilla (Spain), p. 86
MOESM1 of DNA methylation affects metastasis of renal cancer and is associated with TGF-β/RUNX3 inhibition
Creators: name: Zheng, Jianbo
name: Mei, Yanhui
name: Xiang, Ping
name: Zhai, Guangsheng
name: Zhao, Ning
name: Xu, Chuanbing
name: Liu, Min
name: Pan, Zhengsheng
name: Tang, Kai
name: Jia, Dongsheng
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Cancer

description: Additional file 1: Table S1.  The location of patient with metastasizing cancer. Figure S1. Demethylation suppressed the development of renal cancer. Figure S2. There was no change of methylation levels in metastatic renal cancer tissue after RUNX3 and TGF-β knockdown.
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Creators: name: Ding, Jian
name: Xie, Enze
name: Xu, Hang
name: Jiang, Chenhan
name: Li, Zhenguo
name: Luo, Ping
name: Xia, Gui-Song
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Unsupervised pre-training aims at learning transferable features that are beneficial for downstream tasks. However, most state-of-the-art unsupervised methods concentrate on learning global representations for image-level classification tasks instead of discriminative local region representations, which limits their transferability to region-level downstream tasks, such as object detection. To improve the transferability of pre-trained features to object detection, we present Deeply Unsupervised Patch Re-ID (DUPR), a simple yet effective method for unsupervised visual representation learning. The patch Re-ID task treats individual patch as a pseudo-identity and contrastively learns its correspondence in two views, enabling us to obtain discriminative local features for object detection. Then the proposed patch Re-ID is performed in a deeply unsupervised manner, appealing to object detection, which usually requires multilevel feature maps. Extensive experiments demonstrate that DUPR outperforms state-of-the-art unsupervised pre-trainings and even the ImageNet supervised pre-training on various downstream tasks related to object detection.
description: Accepted to IEEE TPAMI
Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials
Creators: name: Li, Fan
name: Buchanan, Ashley L.
name: Cole, Stephen R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Comparative effectiveness evidence from randomized trials may not be directly generalizable to a target population of substantive interest when, as in most cases, trial participants are not randomly sampled from the target population. Motivated by the need to generalize evidence from two trials conducted in the AIDS Clinical Trials Group (ACTG), we consider weighting, regression and doubly robust estimators to estimate the causal effects of HIV interventions in a specified population of people living with HIV in the USA. We focus on a non-nested trial design and discuss strategies for both point and variance estimation of the target population average treatment effect. Specifically in the generalizability context, we demonstrate both analytically and empirically that estimating the known propensity score in trials does not increase the variance for each of the weighting, regression and doubly robust estimators. We apply these methods to generalize the average treatment effects from two ACTG trials to specified target populations and operationalize key practical considerations. Finally, we report on a simulation study that investigates the finite-sample operating characteristics of the generalizability estimators and their sandwich variance estimators.
description: 44 pages, 3 tables and 3 figures. Journal of the Royal Statistical Society: Series C (2022)
Desintoxiquémonos – Un saber para el futuro
Creators: name: Bertoni. Federico
name: Borrelli, Davide
name: Pievatolo, Maria Chiara
name: Pinto, Valeria
Publisher: name: Zenodo
Year: 2020
Subjects: evaluación de la investigación
libertad académica
universidad
Italia

description: Versión española de un manifiesto italiano contra las restricciones burocráticas que están estrangulando a la universidad pública en Italia debido a un sistema administrativo y centralizado de evaluación de la investigación que está socavando la libertad académica amparada por la Constitución italiana.
Additional file 1: of Disjunct distribution and distinct intraspecific diversification of Eothenomys melanogaster in South China
Creators: name: Lv, Xue
name: Cheng, Jilong
name: Meng, Yang
name: Chang, Yongbin
name: Xia, Lin
name: Wen, Zhixin
name: Ge, Deyan
name: Liu, Shaoying
name: Yang, Qisen
Publisher: name: figshare
Year: 2018
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified

description: Table S1. Sample information and the GenBank accession numbers. Sampling information and the GenBank accession numbers of all sequences of Eothenomys melanogaster used in the study. Table S2. Outgroups of phylogenetic analysis. Outgroups used for fossil calibration and phylogenetic analyses of E. melanogaster. Table S3. Gene flow of three maternal clades. Gene flow of three maternal clades of E. melanogaster estimated by MIGRATE. C represents the Central Clade, SE represents the Southeast Clade and SW represents the Southwest Clade. (DOCX 32Â kb)
Spectroscopic signatures of time-reversal symmetry breaking superconductivity
Creators: name: Poniatowski, Nicholas R.
name: Curtis, Jonathan B.
name: Yacoby, Amir
name: Narang, Prineha
Publisher: name: arXiv
Year: 2021
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The collective mode spectrum of a symmetry-breaking state, such as a superconductor, provides crucial insight into the nature of the order parameter. In this context, we present a microscopic weak-coupling theory for the collective modes of a generic multi-component time-reversal symmetry breaking superconductor, and show that fluctuations in the relative amplitude and phase of the two order parameter components are well-defined underdamped collective modes, even in the presence of nodal quasiparticles. We then demonstrate that these "generalized clapping modes" can be detected using a number of experimental techniques including ac electronic compressibility measurements, electron energy loss spectroscopy, microwave spectroscopy, and ultrafast THz spectroscopy. Finally, we discuss the implications of our work as a new form of "collective mode spectroscopy" that drastically expands the number of experimental probes capable of detecting time-reversal symmetry breaking in unconventional superconductors such as Sr$_{\text{2}}$RuO$_{\text{4}}$, UTe$_{\text{2}}$, and moiré heterostructures.
description: 17 pages, 8 figures
Neutral pion reconstruction using machine learning in the MINERvA experiment at $\langle E_ν\rangle \sim 6$ GeV
Creators: name: Ghosh, A.
name: Yaeggy, B.
name: Galindo, R.
name: Dar, Z. Ahmad
name: Akbar, F.
name: Ascencio, M. V.
name: Bashyal, A.
name: Bercellie, A.
name: Bonilla, J. L.
name: Caceres, G.
name: Cai, T.
name: Carneiro, M. F.
name: da Motta, H.
name: Díaz, G. A.
name: Felix, J.
name: Filkins, A.
name: Fine, R.
name: Gago, A. M.
name: Golan, T.
name: Gran, R.
name: Harris, D. A.
name: Henry, S.
name: Jena, S.
name: Jena, D.
name: Kleykamp, J.
name: Kordosky, M.
name: Last, D.
name: Len, T.
name: Lozano, A.
name: Lu, X. -G.
name: Maher, E.
name: Manly, S.
name: Mann, W. A.
name: Mauger, C.
name: McFarland, K. S.
name: Messerly, B.
name: Miller, J.
name: Montano, Luis M.
name: Naples, D.
name: Nelson, J. K.
name: Nguyen, C.
name: Olivier, A.
name: Paolone, V.
name: Perdue, G. N.
name: Ramírez, M. A.
name: Ray, H.
name: Ruterbories, D.
name: Salinas, C. J. Solano
name: Su, H.
name: Sultana, M.
name: Syrotenko, V. S.
name: Valencia, E.
name: Wospakrik, M.
name: Wret, C.
name: Yang, K.
name: Zazueta, L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: This paper presents a novel neutral-pion reconstruction that takes advantage of the machine learning technique of semantic segmentation using MINERvA data collected between 2013-2017, with an average neutrino energy of $6$ GeV. Semantic segmentation improves the purity of neutral pion reconstruction from two gammas from 71\% to 89\% and improves the efficiency of the reconstruction by approximately 40\%. We demonstrate our method in a charged current neutral pion production analysis where a single neutral pion is reconstructed. This technique is applicable to modern tracking calorimeters, such as the new generation of liquid-argon time projection chambers, exposed to neutrino beams with $\langle E_ν\rangle$ between 1-10 GeV. In such experiments it can facilitate the identification of ionization hits which are associated with electromagnetic showers, thereby enabling improved reconstruction of charged-current $ν_e$ events arising from $ν_μ \rightarrow ν_{e}$ appearance.
description: 26 pages, v2 matches published version
Perfil psicopatológico y de personalidad de las parejas femeninas de hombres con trastorno hipersexual
Creators: name: Pufulete, Elena
name: Palazón Llecha, Alba
name: Farré Martí, Josep Mª
name: Pérez, Irene
name: Lasheras Pérez, Gracia
Publisher: name: Psicosomàtica y Psiquiatría
Year: 2024

description: Psicosomàtica y Psiquiatría, Núm. 28 (2024): enero-febrero-marzo
MOESM1 of Association of mean platelet volume with incident type 2 diabetes mellitus risk: the Dongfengâ Tongji cohort study
Creators: name: Li, Zhaoyang
name: Wang, Jing
name: Han, Xu
name: Yuan, Jing
name: Guo, Huan
name: Zhang, Xiaomin
name: Zheng, Dan
name: Tang, Yuhan
name: Yang, Handong
name: He, Meian
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Table S1. Baseline characteristics of the study population in women and men.
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Creators: name: Rahman, Arafat
name: Chowdhury, Muhammad E. H.
name: Khandakar, Amith
name: Kiranyaz, Serkan
name: Zaman, Kh Shahriya
name: Reaz, Mamun Bin Ibne
name: Islam, Mohammad Tariqul
name: Kadir, Muhammad Abdul
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cryptography and Security (cs.CR)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: With the rapid advancement of technology, different biometric user authentication, and identification systems are emerging. Traditional biometric systems like face, fingerprint, and iris recognition, keystroke dynamics, etc. are prone to cyber-attacks and suffer from different disadvantages. Electroencephalography (EEG) based authentication has shown promise in overcoming these limitations. However, EEG-based authentication is less accurate due to signal variability at different psychological and physiological conditions. On the other hand, keystroke dynamics-based identification offers high accuracy but suffers from different spoofing attacks. To overcome these challenges, we propose a novel multimodal biometric system combining EEG and keystroke dynamics. Firstly, a dataset was created by acquiring both keystroke dynamics and EEG signals from 10 users with 500 trials per user at 10 different sessions. Different statistical, time, and frequency domain features were extracted and ranked from the EEG signals and key features were extracted from the keystroke dynamics. Different classifiers were trained, validated, and tested for both individual and combined modalities for two different classification strategies - personalized and generalized. Results show that very high accuracy can be achieved both in generalized and personalized cases for the combination of EEG and keystroke dynamics. The identification and authentication accuracies were found to be 99.80% and 99.68% for Extreme Gradient Boosting (XGBoost) and Random Forest classifiers, respectively which outperform the individual modalities with a significant margin (around 5 percent). We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. The proposed method is secured and reliable for any kind of biometric authentication.
description: 16 pages, 11 Figures, 7 tables
Activity-induced microswimmer interactions and cooperation in one-dimensional environments
Creators: name: Ketzetzi, Stefania
name: Rinaldin, Melissa
name: Dröge, Pim
name: de Graaf, Joost
name: Kraft, Daniela J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Cooperative motion in biological microswimmers is crucial for their survival as it facilitates adhesion to surfaces, formation of hierarchical colonies, efficient motion, and enhanced access to nutrients. Synthetic microswimmers currently lack truly cooperative behavior that originates from activity-induced interactions. Here, we demonstrate that catalytic microswimmers show a variety of cooperative behaviors along one-dimensional paths. We show that their speed increases with the number of swimmers, while the activity induces a preferred distance between swimmers. Using a minimal model, we ascribe this behavior to an effective activity-induced potential that stems from a competition between chemical and hydrodynamic coupling. These interactions further induce active self-assembly into trains as well as compact chains that can elongate, break-up, become immobilized and remobilized. We identify the crucial role that environment morphology and swimmer directionality play on these highly dynamic chain behaviors. These activity-induced interactions open the door towards exploiting cooperation for increasing the efficiency of, as well as provide temporal and spatial control over, microswimmer motion, thereby enabling them to perform intricate tasks inside complex environments.
Error mitigation and quantum-assisted simulation in the error corrected regime
Creators: name: Lostaglio, Matteo
name: Ciani, Alessandro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A standard approach to quantum computing is based on the idea of promoting a classically simulable and fault-tolerant set of operations to a universal set by the addition of `magic' quantum states. In this context, we develop a general framework to discuss the value of the available, non-ideal magic resources, relative to those ideally required. We single out a quantity, the Quantum-assisted Robustness of Magic (QRoM), which measures the overhead of simulating the ideal resource with the non-ideal ones through quasiprobability-based methods. This extends error mitigation techniques, originally developed for Noisy Intermediate Scale Quantum (NISQ) devices, to the case where qubits are logically encoded. The QRoM shows how the addition of noisy magic resources allows one to boost classical quasiprobability simulations of a quantum circuit and enables the construction of explicit protocols, interpolating between classical simulation and an ideal quantum computer.