cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
Creators: name: Ilyas, Ihab F.
name: Rekatsinas, Theodoros
name: Konda, Vishnu
name: Pound, Jeffrey
name: Qi, Xiaoguang
name: Soliman, Mohamed
Publisher: name: arXiv
Year: 2022
Subjects: subject: Databases (cs.DB)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: We introduce Saga, a next-generation knowledge construction and serving platform for powering knowledge-based applications at industrial scale. Saga follows a hybrid batch-incremental design to continuously integrate billions of facts about real-world entities and construct a central knowledge graph that supports multiple production use cases with diverse requirements around data freshness, accuracy, and availability. In this paper, we discuss the unique challenges associated with knowledge graph construction at industrial scale, and review the main components of Saga and how they address these challenges. Finally, we share lessons-learned from a wide array of production use cases powered by Saga.
Additional file 1 of Short-term outcomes and safety of radiotherapy for immediate breast reconstruction with autologous flap transfer following breast-conserving surgery
Creators: name: Zhang, Shu-Ling
name: Song, Jun
name: Wang, Yan-Ru
name: Guo, Yi-Jia
name: Zhao, Jian-Zhu
name: Sun, Li
name: Huang, Le-Tian
name: Ma, Jie-Tao
name: Han, Cheng-Bo
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Hematology
subject: Computational Biology

description: Additional file 1: Table S1. Cosmetic results of all patients
Sylvester power and weighted sums on the Frobenius set in arithmetic progression
Creators: name: Komatsu, Takao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Number Theory (math.NT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 11D07, 05A15, 05A17, 05A19, 11B68, 11D04, 11P81

description: Let $a_1,a_2,\dots,a_k$ be positive integers with $\gcd(a_1,a_2,\dots,a_k)=1$. Frobenius number is the largest positive integer that is NOT representable in terms of $a_1,a_2,\dots,a_k$. When $k\ge 3$, there is no explicit formula in general, but some formulae may exist for special sequences $a_1,a_2,\dots,a_k$, including, those forming arithmetic progressions and their modifications. In this paper, we give formulae for the power and weighted sum of nonrepresentable positive integers. As applications, we show explicit expressions of these sums for $a_1,a_2,\dots,a_k$ forming arithmetic progressions.
description: arXiv admin note: text overlap with arXiv:2111.11021, arXiv:2203.12238, arXiv:2101.04298
D5 2- Automotive part data exchange platform report
Creators: name: Oniga, Dana
name: Wagner, Markus
name: Dragomir, Adrian
name: Prunaru, Cristina
Publisher: name: Zenodo
Year: 2020

description: This deliverable represents the outcome of the development work performed until now within WP5- ICT Platform for Multiple Life Cycles, under T5.2 “Implementing a part data management platform including standard data exchange protocols, ensuring transparency and efficiency of trade networks and reverse logistics.
 The main purpose of the deliverable is to present the results obtained in developing a new platform and the functionalities to be done until milestone MS6: ICT platforms ready in month 24 (May 2020). In the first eleven months since task T5.2 began, the main functions of the automotive part data exchange platform were developed: User-Management, View Options, Create options and Transfer multiple options. The newly created automotive part data management platform was connected to CoremanNet system.
 The work performed in WP5, T5.2, will serve as base for WP7: Automotive parts demonstrator, for the deployment of the platform and for further improvements.
 This report will emphasize the scope and the description of the automotive platform, will answer questions regarding the background of developing the automotive platform and the vision of its future and will demonstrate the connection with the circular business models. This document will describe the newly developed functionalities of the automotive part data management platform and how it will look at the end of the project.
 While all IT-components supporting the physical-processes or customer-interaction (e.g. core-evaluation-system or customer-data and reports, material master-data) are already existing in C-ECO’s CoremanNet-system, the newly developed ReCIPSS platform focuses solely on all functions needed to incorporate and manage return-options.
 As a result of T5.2, a demonstration was performed during the General Assembly in BRNO (20-22 November 2019), emphasizing the main functionalities of the automotive platform.
Additional file 1 of Recruitment of γδ T cells to the lesion via the CCL2/CCR2 signaling after spinal cord injury
Creators: name: Xu, Ping
name: Zhang, Feng
name: Chang, Min-min
name: Zhong, Cheng
name: Sun, Cheng-Hong
name: Zhu, Hao-Ran
name: Yao, Jing-Chun
name: Li, Zhi-Zhong
name: Li, Si-Tao
name: Zhang, Wen-Cai
name: Sun, Guo-Dong
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Hematology

description: Additional file 1.
Energy Extraction via Magnetic Reconnection in the Ergosphere of a rotating non-Kerr Black Hole
Creators: name: Liu, Wenshuai
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Magnetic reconnection process in the ergosphere is investigated for a relativistic plasma around a rotating non-Kerr black hole. For a rotating non-Kerr black hole immersed in magnetic field generated by an externally material, anti-parallel magnetic field line could form in the ergosphere due to the frame dragging. Therefore, magnetic reconnection could occur in the ergosphere. Such magnetic reconnection may generate negative energy at infinity by redistributing the angular momentum during the process. The results show that, with the effect of the deformed parameter, extraction of energy from a rotating non-Kerr black hole by magnetic reconnection could be enhanced in the presence of a positive deformed parameter.
description: 7 pages, 4 figures. Published in ApJ
Crowd counting with crowd attention convolutional neural network
Creators: name: Chen, Jiwei
name: Su, Wen
name: Wang, Zengfu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Crowd counting is a challenging problem due to the scene complexity and scale variation. Although deep learning has achieved great improvement in crowd counting, scene complexity affects the judgement of these methods and they usually regard some objects as people mistakenly; causing potentially enormous errors in the crowd counting result. To address the problem, we propose a novel end-to-end model called Crowd Attention Convolutional Neural Network (CAT-CNN). Our CAT-CNN can adaptively assess the importance of a human head at each pixel location by automatically encoding a confidence map. With the guidance of the confidence map, the position of human head in estimated density map gets more attention to encode the final density map, which can avoid enormous misjudgements effectively. The crowd count can be obtained by integrating the final density map. To encode a highly refined density map, the total crowd count of each image is classified in a designed classification task and we first explicitly map the prior of the population-level category to feature maps. To verify the efficiency of our proposed method, extensive experiments are conducted on three highly challenging datasets. Results establish the superiority of our method over many state-of-the-art methods.
description: Accepted by Neurocomputing
Search for periodic radio emission of gamma pulsar J0357+3205
Creators: name: Tyul'bashev, S. A.
name: Kitaeva, M. A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The search for radio emission from the gamma pulsar J0357+3205 in the meter wavelength range was carried out. Periodic emission was found in one of the 1,700 observation sessions. The average pulsar profile is single-component with a half-width of 20-25 ms. Estimation of the pulsar flux density is 14 mJy.
description: Published in Bulletin of Lebedev Physics Institute and translated from russian by Yandex translator with correction scientific lexis. 3 pages, 2 figures
How to Save Lives with Microblogs? Lessons From the Usage of Weibo for Requests for Medical Assistance During COVID-19
Creators: name: Yang, Wenjie
name: Wu, Zhiyang
name: Mok, Nga Yiu
name: Ma, Xiaojuan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: During recent crises like COVID-19, microblogging platforms have become popular channels for affected people seeking assistance such as medical supplies and rescue operations from emergency responders and the public. Despite this common practice, the affordances of microblogging services for help-seeking during crises that needs immediate attention are not well understood. To fill this gap, we analyzed 8K posts from COVID-19 patients or caregivers requesting urgent medical assistance on Weibo, the largest microblogging site in China. Our mixed-methods analyses suggest that existing microblogging functions need to be improved in multiple aspects to sufficiently facilitate help-seeking in emergencies, including capabilities of search and tracking requests, ease of use, and privacy protection. We also find that people tend to stick to certain well-established functions for publishing requests, even after better alternatives emerge. These findings have implications for designing microblogging tools to better support help requesting and responding during crises.
description: CHI 2022
Comparative efficacy of glucagon-like peptide 1 (GLP-1) receptor agonists, pioglitazone and vitamin E for liver histology among patients with nonalcoholic fatty liver disease: systematic review and pilot network meta-analysis of randomized controlled trials
Creators: name: Gu, Yunpeng
name: Sun, Lei
name: He, Yining
name: Yang, Luping
name: Deng, Chaohua
name: Zhou, Run
name: Kong, Tingting
name: Zhang, Wei
name: Chen, Yutong
name: Li, Jie
name: Shi, Junping
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy

description: There is no conclusive evidence comparing the efficacy of glucagon-like peptide 1 (GLP-1) receptor agonists to the other guidelines recommended pharmacotherapy for nonalcoholic fatty liver disease (NAFLD). Therefore, we aim to compare the effects of GLP-1 receptor agonists, pioglitazone and vitamin E in patients with NAFLD. We searched PubMed, Embase, Web of Science and Cochrane Library up to 11 April 2022. Randomized clinical trials (RCTs) comparing GLP-1 receptor agonists, pioglitazone and vitamin E against placebo or other active controls in patients with NAFLD were included. Nine RCTs including 1482 patients proved eligible. GLP-1 receptor agonists ranked first in steatosis, ballooning necrosis, γ-glutamyl transferase, body weight, body mass index, and triglycerides. Administration of GLP-1 receptor agonists, as compared with placebo, was associated with improvement in liver histology [steatosis (OR = 4.11, 95% CI: 2.83, 5.96), ballooning necrosis (OR = 3.07, 95% CI: 2.14, 4.41), lobular inflammation (OR = 1.86, 95% CI: 1.29, 2.68), fibrosis (OR = 1.52, 95% CI: 1.06, 2.20)]. GLP-1 receptor agonists were as effective as pioglitazone and vitamin E for liver histology among patients with NAFLD. GLP-1 receptor agonists might be considered as an alternative or complementary treatment in the future clinical practice.
Crowd counting with segmentation attention convolutional neural network
Creators: name: Chen, Jiwei
name: Wang, Zengfu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Deep learning occupies an undisputed dominance in crowd counting. In this paper, we propose a novel convolutional neural network (CNN) architecture called SegCrowdNet. Despite the complex background in crowd scenes, the proposeSegCrowdNet still adaptively highlights the human head region and suppresses the non-head region by segmentation. With the guidance of an attention mechanism, the proposed SegCrowdNet pays more attention to the human head region and automatically encodes the highly refined density map. The crowd count can be obtained by integrating the density map. To adapt the variation of crowd counts, SegCrowdNet intelligently classifies the crowd count of each image into several groups. In addition, the multi-scale features are learned and extracted in the proposed SegCrowdNet to overcome the scale variations of the crowd. To verify the effectiveness of our proposed method, extensive experiments are conducted on four challenging datasets. The results demonstrate that our proposed SegCrowdNet achieves excellent performance compared with the state-of-the-art methods.
description: Accepted by IET Image Processing
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering
Creators: name: Wen, Zichen
name: Wu, Tianyi
name: Ren, Yazhou
name: Ling, Yawen
name: Cui, Chenhang
name: Pu, Xiaorong
name: He, Lifang
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Multi-view clustering is an important machine learning task for multi-media data, encompassing various domains such as images, videos, and texts. Moreover, with the growing abundance of graph data, the significance of multi-view graph clustering (MVGC) has become evident. Most existing methods focus on graph neural networks (GNNs) to extract information from both graph structure and feature data to learn distinguishable node representations. However, traditional GNNs are designed with the assumption of homophilous graphs, making them unsuitable for widely prevalent heterophilous graphs. Several techniques have been introduced to enhance GNNs for heterophilous graphs. While these methods partially mitigate the heterophilous graph issue, they often neglect the advantages of traditional GNNs, such as their simplicity, interpretability, and efficiency. In this paper, we propose a novel multi-view graph clustering method based on dual-optimized adaptive graph reconstruction, named DOAGC. It mainly aims to reconstruct the graph structure adapted to traditional GNNs to deal with heterophilous graph issues while maintaining the advantages of traditional GNNs. Specifically, we first develop an adaptive graph reconstruction mechanism that accounts for node correlation and original structural information. To further optimize the reconstruction graph, we design a dual optimization strategy and demonstrate the feasibility of our optimization strategy through mutual information theory. Numerous experiments demonstrate that DOAGC effectively mitigates the heterophilous graph problem.
description: Accepted by ACM MM 2024
Absolute Quantification of sp$^{3}$ Defects in Semiconducting Single-Wall Carbon Nanotubes by Raman Spectroscopy
Creators: name: Sebastian, Finn L.
name: Zorn, Nicolas F.
name: Settele, Simon
name: Lindenthal, Sebastian
name: Berger, Felix J.
name: Bendel, Christoph
name: Li, Han
name: Flavel, Benjamin S.
name: Zaumseil, Jana
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: The functionalization of semiconducting single-wall carbon nanotubes (SWCNTs) with luminescent sp$^{3}$ defects creates red-shifted emission features in the near-infrared and boosts their photoluminescence quantum yields (PLQYs). While multiple synthetic routes for the selective introduction of sp$^{3}$ defects have been developed, a convenient metric to precisely quantify the number of defects on a SWCNT lattice is not available. Here, we present a direct and simple quantification protocol based on a linear correlation of the integrated Raman D/G$^{+}$ signal ratios and defect densities as extracted from PLQY measurements. Corroborated by a statistical analysis of single-nanotube emission spectra at cryogenic temperature, this method enables the quantitative evaluation of sp$^{3}$ defect densities in (6,5) SWCNTs with an error of $\pm$ 3 defects per micrometer and the determination of oscillator strengths for different defect types. The developed protocol requires only standard Raman spectroscopy and is independent of the defect configuration, dispersion solvent and nanotube length.
Gate-Controlled Quantum Dots Based on Two-Dimensional Materials
Creators: name: Jing, Fang-Ming
name: Zhang, Zhuo-Zhi
name: Qin, Guo-Quan
name: Luo, Gang
name: Cao, Gang
name: Li, Hai-Ou
name: Song, Xiang-Xiang
name: Guo, Guo-Ping
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Two-dimensional (2D) materials are a family of layered materials exhibiting rich exotic phenomena, such as valley-contrasting physics. Down to single-particle level, unraveling fundamental physics and potential applications including quantum information processing in these materials attracts significant research interests. To unlock these great potentials, gate-controlled quantum dot architectures have been applied in 2D materials and their heterostructures. Such systems provide the possibility of electrical confinement, control, and manipulation of single carriers in these materials. In this review, efforts in gate-controlled quantum dots in 2D materials are presented. Following basic introductions to valley degree of freedom and gate-controlled quantum dot systems, the up-to-date progress in etched and gate-defined quantum dots in 2D materials, especially in graphene and transition metal dichalcogenides, is provided. The challenges and opportunities for future developments in this field, from views of device design, fabrication scheme, and control technology, are discussed. The rapid progress in this field not only sheds light on the understanding of spin-valley physics, but also provides an ideal platform for investigating diverse condensed matter physics phenomena and realizing quantum computation in the 2D limit.
description: Invited review for Advanced Quantum Technologies
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing
Creators: name: Chen, Jiwei
name: Wang, Kewei
name: Su, Wen
name: Wang, Zengfu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Crowd counting based on density maps is generally regarded as a regression task.Deep learning is used to learn the mapping between image content and crowd density distribution. Although great success has been achieved, some pedestrians far away from the camera are difficult to be detected. And the number of hard examples is often larger. Existing methods with simple Euclidean distance algorithm indiscriminately optimize the hard and easy examples so that the densities of hard examples are usually incorrectly predicted to be lower or even zero, which results in large counting errors. To address this problem, we are the first to propose the Hard Example Focusing(HEF) algorithm for the regression task of crowd counting. The HEF algorithm makes our model rapidly focus on hard examples by attenuating the contribution of easy examples.Then higher importance will be given to the hard examples with wrong estimations. Moreover, the scale variations in crowd scenes are large, and the scale annotations are labor-intensive and expensive. By proposing a multi-Scale Semantic Refining (SSR) strategy, lower layers of our model can break through the limitation of deep learning to capture semantic features of different scales to sufficiently deal with the scale variation. We perform extensive experiments on six benchmark datasets to verify the proposed method. Results indicate the superiority of our proposed method over the state-of-the-art methods. Moreover, our designed model is smaller and faster.
description: Accepted by IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Adaptive finite elements for obstacle problems
Creators: name: Gustafsson, Tom
Publisher: name: arXiv
Year: 2024
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We summarise three applications of the obstacle problem to membrane contact, elastoplastic torsion and cavitation modelling, and show how the resulting models can be solved using mixed finite elements. It is challenging to construct fixed computational meshes for any inequality-constrained problem because the coincidence set has an unknown shape. Consequently, we demonstrate how $h$-adaptivity can be used to resolve the unknown coincidence set. We demonstrate some practical challenges that must be overcome in the application of the adaptive method.
A Novel CFD-DEM Coarse-Graining Method Based on the Voronoi Tessellation
Creators: name: Che, Hanqiao
name: O'Sullivan, Catherine
name: Sufian, Adnan
name: Smith, Edward
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Chemical Physics (physics.chem-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: In unresolved flow CFD-DEM simulations, the porosity values for each CFD cell are determined using a coarse-graining algorithm. While this approach enables coupled simulations of representative numbers of particles, the influence of the porosity local to the particles on the fluid-particle interaction force is not captured. This contribution considers a two-grid coarse-graining method that determines a local porosity for each particle using a radical Voronoi tessellation of the system. A relatively fine, regular point cloud is used to map these local porosity data to the CFD cells. The method is evaluated using two different cases considering both disperse and tightly packed particles. The data show that the method conserves porosity data, is reasonably grid-independent and can generate a relatively smooth porosity field. The new method can more accurately predict the fluid-particle interactive force for polydisperse particle system than alternative methods that have been implemented in unresolved CFD-DEM codes.
description: 22 pages, 21 figures. Article published in Powder Technology (see https://doi.org/10.1016/j.powtec.2021.02.025)
Data for: Dual-FOV HSRL
Creators: name: Wang, Nanchao
name: Zhang, Kai
name: Shen, Xue
name: Wang, Yuan
name: Li, Jing
name: Li, Chengcai
name: Mao, Jietai
name: Malinka, Aleksey
name: Rosenfeld, Daniel
name: Zhao, Chuanfeng
name: Guo, Jianping
name: Gross, Silke
name: Liu, Chong
name: Yang, Jing
name: Chen, Feitong
name: Wu, Lingyun
name: Chen, Sijie
name: Ke, Ju
name: Xiao, Da
name: Zhou, Yudi
name: Fang, Jing
name: Liu, Dong
Publisher: name: figshare
Year: 2021
Subjects: classificationCode: 370107
subject: Cloud physics

description: Data for the figures in the article
Additional file 1 of Comprehensive analysis of NAC transcription factor family uncovers drought and salinity stress response in pearl millet (Pennisetum glaucum)
Creators: name: Dudhate, Ambika
name: Shinde, Harshraj
name: Yu, Pei
name: Tsugama, Daisuke
name: Gupta, Shashi Kumar
name: Liu, Shenkui
name: Takano, Tetsuo
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Additional file 1. List of primers used in quantitative real time-PCR expression analysis of PgNAC genes.
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm
Creators: name: Jaikumar, Punitha
name: Vandaele, Remy
name: Ojha, Varun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper proposes a methodological approach with a transfer learning scheme for plastic waste bottle detection and instance segmentation using the \textit{mask region proposal convolutional neural network} (Mask R-CNN). Plastic bottles constitute one of the major pollutants posing a serious threat to the environment both in oceans and on land. The automated identification and segregation of bottles can facilitate plastic waste recycling. We prepare a custom-made dataset of 192 bottle images with pixel-by pixel-polygon annotation for the automatic segmentation task. The proposed transfer learning scheme makes use of a Mask R-CNN model pre-trained on the Microsoft COCO dataset. We present a comprehensive scheme for fine-tuning the base pre-trained Mask-RCNN model on our custom dataset. Our final fine-tuned model has achieved 59.4 \textit{mean average precision} (mAP), which corresponds to the MS COCO metric. The results indicate a promising application of deep learning for detecting waste bottles.
title: 02_1386
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
System Design of the Newest Generation Detector Controller for ELT and new VLT Instruments
Creators: name: Richerzhagen, Mathias
name: Seidel, Matthias
name: Mehrgan, Leander
name: Ives, Derek
name: Conzelmann, Ralf
name: Todorovic, Mirko
name: Geimer, Christoph
Publisher: name: arXiv
Year: 2024
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: A new detector controller, NGCII, is in development for the first-generation instruments of the ELT as well as new instruments for the VLT. Building on experience with previous ESO detector controllers, a modular system based on the MicroTCA.4 industrial standard, is designed to control a variety of infrared and visible light scientific and wavefront sensor detectors. This article presents the early development stages of NGCII hardware and firmware from the decision to start an all-new design to first tests with detectors and ROICs.
Synthesis and characterization of Xanthan Gum Xanthates and their application for toxic metal ion removal from synthetic wastewater
Creators: name: Kashaudhan, Kopal
name: Pande, Poorn Prakash
name: Sharma, Jyoti
name: Shankar, Ravi
name: Nath, Amar
name: Chaurasiya, Arbind
name: Kushwaha, Nandita
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Marine Biology
subject: Mental Health

description: This study focuses on the synthesis of three grades of xanthates of natural polymeric material Xanthan gum (XG) by reacting it with Carbon disulfide (CS2) in basic medium at room temperature under inert atmosphere. The confirmation of the formation of Xanthan Gum Xanthates (XGX) has been done with the help of Ultraviolet (UV) spectroscopy, Fourier Transform Infrared (FTIR) spectroscopy, point of zero-charge (PZC), Scanning Electron Microscopy and Energy Dispersive Spectroscopy (SEM-EDS) studies. DSC and XRD studies have been done to confirm the crystalline nature of the xanthates. The removal of Cu2+and Co2+ from the prepared grades was found to be 86.7%, 89.9% and 93.6% for Cu2+ and 86.1%, 88.8% and 93.1% for Co2+ respectively. Therefore, these xanthates can be employed for the eradication of such toxic metal ions from their synthetic solutions. The adsorption capacities of three grades of xanthates viz. XGX1, XGX2, and XGX3 were found to be 319.48, 303.03, and 325.73 mg/g for Cu(II) and 238.66, 246.91, and 230.41 mg/g and for Co(II) respectively, which are better than the adsorption capacities reported for various other adsorbents in literature.
Additional file 3 of Comprehensive analysis of NAC transcription factor family uncovers drought and salinity stress response in pearl millet (Pennisetum glaucum)
Creators: name: Dudhate, Ambika
name: Shinde, Harshraj
name: Yu, Pei
name: Tsugama, Daisuke
name: Gupta, Shashi Kumar
name: Liu, Shenkui
name: Takano, Tetsuo
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Additional file 3 Gene structure of PgNACs. Image was created by submitting the sequences to the gene structure display 2.0 online tool. Red boxes denote the exon/coding region, black lines are intron and blue boxes defines.
Additional file 4 of Comprehensive analysis of NAC transcription factor family uncovers drought and salinity stress response in pearl millet (Pennisetum glaucum)
Creators: name: Dudhate, Ambika
name: Shinde, Harshraj
name: Yu, Pei
name: Tsugama, Daisuke
name: Gupta, Shashi Kumar
name: Liu, Shenkui
name: Takano, Tetsuo
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Additional file 4 Location of 17 Motifs on the PgNACs. The location of motifs were derived by the multiple alignment of the motifs by online tool MAST. Each of the following 152 sequences has an E-value less than 10. The motif matches shown here have a position p-value less than 0.0001. Colored boxes represent the respective motif.
(a) An Itinerary of the Sixteenth Century, "Le Guide des Chemins d'Angelterre," Jean Bernard, Paris, 1579. (b) John Cary, Engraver and Mapseller (fl. 1769-1836).
Creators: name: Fordham, George
Publisher: name: Archaeology Data Service
Year: 2017

description: Proceedings of the Cambridge Antiquarian Society, 14 (1), 123-123
Nuclear matter calculations with the phenomenological three-nucleon interaction
Creators: name: Moeini, H.
name: Bordbar, G. H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Employing the concept of three-body radial distribution function and using the two-body correlation functions, calculated based on the lowest order constrained variational method, we investigated the effect of the three-body force (TBF) on the nuclear matter properties, for Argonne and Urbana $\it{v_{14}}$ potentials. As such, the results for nuclear matter density, incompressibility, energy per nucleon, and symmetry energy are presented at the saturation point. The inclusion of a phenomenological TBF resulted in closer values of the saturation density, incompressibility, and symmetry energy to the empirical ones for the symmetric nuclear matter. This is especially the case for the Urbana $\it{v_{14}}$ potential. In addition, an empirically-verified parabolic approximation of the interaction energy was utilized to perform an approximate study of the nuclear matter with neutron excess. Hence, at densities higher than about 0.3~fm$^{-3}$ and for proton-to-neutron density ratios close to the symmetric nuclear matter, the inclusion of TBF resulted in an extra attraction for the Argonne as compared to the Urbana $\it{v_{14}}$ potential.
description: 20 pages, 6 figures
High Precision Astrometry Science in the Context of Space Mission Prospectives
Creators: name: Malbet, Fabien
name: Mamon, Gary A.
name: Labadie, Lucas
name: Sozzetti, Alessandro
name: Lizzana, Manon
name: Lépine, Thierry
name: Léger, Alain
name: Lagage, Pierre-Olivier
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Astrometry is one of the oldest branches of astronomy which measures the position, the proper motion and parallax of celestial objects. Following the Hipparcos and Gaia missions that have measured several billions of them using global astrometry, we propose to increase astrometry precision on pointed objects using differential astrometry in a large field in order to unravel rocky planets in habitable zones of stars in the Sun vicinity and investigate the nature of dark matter in galactic environments as recommended by the ESA Senior Committee in the Voyager 2050 prospective. Substantial technology developments in a number of critical areas is needed in order to reach the highest required precision of sub-micro-arcsecond. One of them is CMOS image sensors using the stitching technique to merge the multiple design structures on the wafer and produce array with very large number of pixels. Another one is to calibrate the pixel positions using projecting modulating interferometric laser fringes on the array. Finally, the distortion of the optical system can be monitored and compensated using reference stars as metrology sources. The final precision depends on the diameter and the field of view of the telescope that is used as well as the time spent on each target. We present here the science goals that can be achieved with such missions either within the framework of an ESA Medium-class mission or even in the NASA most challenging Habitable Worlds Observatory, a large space telescope recommended by the American Astronomy and Astrophysics prospective for the 2020s and designed specifically to search for signs of life on planets orbiting other stars.
Supplementary document for Double profound enhancements of Cu2O nano-octahedrons connected by intertwined Ag nanovines for elevating SERS activity toward ultrasensitive pesticide detection - 5612126.pdf
Creators: name: JIAO, ANXIN
name: Cui, Qingqiang
name: Li, Shuang
name: Tian, Yue
name: Ma, Hui
name: wang, chang
name: Zhang, Mengya
name: Chen, Ming
name: Li, Guihua
name: Liu, Xiang
Publisher: name: Optica Publishing Group
Year: 2021
Subjects: Uncategorized

description: Supplementary material for the manuscript
Proceedings Eighth Symposium on Working Formal Methods
Creators: name: Marin, Mircea
name: Leuştean, Laurenţiu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: The Working Formal Methods Symposium (FROM) is a series of workshops that aim to bring together researchers and practitioners who work on formal methods by contributing new theoretical results, methods, techniques, and frameworks, and/or by creating or using software tools that apply theoretical contributions.
Quantum Anomalous Hall and Valley Quantum Anomalous Hall Effects in Two-Dimensional d0 Orbital XY Monolayers
Creators: name: Wang, Kang
name: Li, Yihui
name: Mei, Haoliang
name: Li, Ping
name: Guo, Zhi-Xin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We propose a new family of the d0 orbital XY (X = K, Rb, Cs; Y = N, P, As, Sb, Bi) monolayers with abundant and novel topology and valley properties. The KN, RbN, RbP, RbAs, CsP, CsAs, and CsSb monolayers possess remarkable quantum anomalous Hall effect (QAHE). CsSb monolayer also exhibits extraordinary valley QAHE with giant splitting. Moreover, the topological properties of XY monolayers can be effciently tuned by the in-plane strain, owing to the strain-induced band inversion between the px;y and pz orbitals. Our findings suggest that the d0 orbital XY monolayers can be good candidates for promising applications in the spintronics and multifunctional topological-based devices.
description: 18 pages, 8 figures Accepted
The major role of eccentricity in the evolution of colliding pulsar-stellar winds
Creators: name: Barkov, Maxim V.
name: Bosch-Ramon, Valenti
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Binary systems that host a massive star and a non-accreting pulsar can be powerful non-thermal emitters. The relativistic pulsar wind and the non-relativistic stellar outflows interact along the orbit, producing ultrarelativistic particles that radiate from radio to gamma rays. To properly characterize the physics of these sources, and better understand their emission and impact on the environment, careful modelling of the outflow interactions, spanning a broad range of spatial and temporal scales, is needed. Full 3-dimensional approaches are very computationally expensive, but simpler approximate approaches, while still realistic at the semi-quantitative level, are available. We present here the results of calculations done with a quasi 3-dimensional scheme to compute the evolution of the interacting flows in a region spanning in size up to a thousand times the size of the binary. In particular, we analyze for the first time the role of different eccentricities in the large scale evolution of the shocked flows. We find that the higher the eccentricity, the closer the flows behave like a one-side outflow, which becomes rather collimated for eccentricity values $\gtrsim 0.75$. The simulations also unveil that the pulsar and the stellar winds become fully mixed within the grid for low eccentricity systems, presenting a more stochastic behavior at large scales than in the highly eccentric systems.
description: 18 pages, 11 figures
Caging-Pnictogen-Induced Superconductivity in Skutterudites IrX3 (X = As, P)
Creators: name: Pei, Cuiying
name: Ying, Tianping
name: Zhang, Qinghua
name: Wu, Xianxin
name: Yu, Tongxu
name: Zhao, Yi
name: Gao, Lingling
name: Li, Changhua
name: Cao, Weizheng
name: Zhang, Qing
name: Schnyder, Andreas P.
name: Gu, Lin
name: Chen, Xiaolong
name: Hosono, Hideo
name: Qi, Yanpeng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Here we report on a new kind of compound, XδIr4X12-δ (X = P, As), the first hole-doped skutterudites superconductor. We provide atomic resolution images of the caging As atoms using scanning transmission electron microscopy (STEM). By inserting As atoms into the caged structure under a high pressure, superconductivity emerges with a maximum transition temperature (Tc) of 4.4 K (4.8 K) in IrAs3 (IrP3). In contrast to all of the electron-doped skutterudites, the electronic states around the Fermi level in XδIr4X12-δ are dominated by the caged X atom, which can be described by a simple body-centered tight-binding model, implying a distinct paring mechanism. Our density functional theory (DFT) calculations reveal an intimate relationship between the pressure-dependent local-phonon mode and the enhancement of Tc. The discovery of XδIr4X12-δ provides an arena to investigate the uncharted territory of hole-doped skutterudites, and the method proposed here represents a new strategy of carrier doping in caged structures, without introducing extra elements.
description: 14 pages, 4 figures, 1 table
Kinetic and computational analysis of the reversible inhibition of porcine pancreatic elastase: a structural and mechanistic approach
Creators: name: Panagiota-Yiolanda Stergiou
name: Foukis, Athanasios
name: Gkini, Olga A.
name: Bieth, Joseph G.
name: Papamichael, Emmanuel M.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Structural and mechanistic insights were revealed for the reversible inhibition of Porcine Pancreatic Elastase (PPE); the kinetics of uninhibited and inhibited hydrolysis of substrate Suc-AAA-pNA was analyzed thoroughly. Additionally, the interactions between PPE and its inhibitor were studied by computational techniques. The uninhibited hydrolysis of Suc-AAA-pNA by PPE proceeds through a virtual transition state, involving an inferior physical and another dominating chemical step, where two stabilized reactant states precede the predominant acyl-enzyme. Different kinds of bonding with the PPE-backbone residues, including those of the catalytic triad, were found during the MD simulation of 5 ns, as key interactions favoring a higher stabilization of the best ranked complex PPE-CF3C(O)-KA-NHPh-p-CF3. The proton inventories of the inhibited hydrolysis of Suc-AAA-pNA by PPE, were ruled out the existence of any virtual transition state and thus they argue for a different mode of catalysis involving a structurally disturbed PPE molecule. Thereafter, a novel inhibition mechanism was suggested.
Camber-changing flapping hydrofoils for efficient and environmental-safe water propulsion system
Creators: name: Romanello, Luca
name: Hohaus, Leonard
name: Schmitt, David-Marian
name: Kovac, Mirko
name: Armanini, Sophie F.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This research introduces a novel hydrofoil-based propulsion framework for unmanned aquatic robots, inspired by the undulating locomotion observed in select aquatic species. The proposed system incorporates a camber-modulating mechanism to enhance hydrofoil propulsive force generation and eventually efficiency. Through dynamic simulations, we validate the effectiveness of the camber-adjusting hydrofoil compared to a symmetric counterpart. The results demonstrate a significant improvement in horizontal thrust, emphasizing the potential of the cambering approach to enhance propulsive performance. Additionally, a prototype flipper design is presented, featuring individual control of heave and pitch motions, as well as a camber-adjustment mechanism. The integrated system not only provides efficient water-based propulsion but also offers the capacity for generating vertical forces during take-off maneuvers for seaplanes. The design is tailored to harness wave energy, contributing to the exploration of alternative energy resources. This work advances the understanding of bionic oscillatory principles for aquatic robots and provides a foundation for future developments in environmentally safe and agile underwater exploration.
description: Peer-reviewed and accepted in Ubiquitous Robots 2024, New York City
Cryptographic Strain-Dependent Light Pattern Generators
Creators: name: D'Elia, Francesca
name: Pisani, Francesco
name: Tredicucci, Alessandro
name: Pisignano, Dario
name: Camposeo, Andrea
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Cryptography and Security (cs.CR)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Refractive freeform components are becoming increasingly relevant for generating controlled patterns of light, because of their capability to spatially-modulate optical signals with high efficiency and low background. However, the use of these devices is still limited by difficulties in manufacturing macroscopic elements with complex, 3-dimensional (3D) surface reliefs. Here, 3D-printed and stretchable magic windows generating light patterns by refraction are introduced. The shape and, consequently, the light texture achieved can be changed through controlled device strain. Cryptographic magic windows are demonstrated through exemplary light patterns, including micro-QR-codes, that are correctly projected and recognized upon strain gating while remaining cryptic for as-produced devices. The light pattern of micro-QR-codes can also be projected by two coupled magic windows, with one of them acting as the decryption key. Such novel, freeform elements with 3D shape and tailored functionalities is relevant for applications in illumination design, smart labels, anti-counterfeiting systems, and cryptographic communication.
description: 31 pages, 22 figures, Advanced Materials Technologies 2022
AI-driven Development Is Here: Should You Worry?
Creators: name: Ernst, Neil
name: Bavota, Gabriele
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: AI-Driven Development Environments (AIDEs) Integrate the power of modern AI into IDEs like Visual Studio Code and JetBrains IntelliJ. By leveraging massive language models and the plethora of openly available source code, AIDEs promise to automate many of the obvious, routine tasks in programming. At the same time, AIDEs come with new challenges to think about, such as bias, legal compliance, security vulnerabilities, and their impact on learning programming.