cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data
Creators: name: Dawson, Matthew
name: Hans-Georg Müller
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Longitudinal data are often plagued with sparsity of time points where measurements are available. The functional data analysis perspective has been shown to provide an effective and flexible approach to address this problem for the case where measurements are sparse but their times are randomly distributed over an interval. Here, we focus on a different scenario where available data can be characterized as snippets, which are very short stretches of longitudinal measurements. For each subject, the stretch of available data is much shorter than the time frame of interest, a common occurrence in accelerated longitudinal studies. An added challenge is introduced if a time proxy that is basic for usual longitudinal modeling is not available. This situation arises in the case of Alzheimer’s disease and comparable scenarios, where one is interested in time dynamics of declining performance, but the time of disease onset is unknown and chronological age does not provide a meaningful time reference for longitudinal modeling. Our main methodological contribution to address these challenges is to introduce conditional quantile trajectories for monotonic processes that emerge as solutions of a dynamic system. Our proposed estimates for these trajectories are shown to be uniformly consistent. Conditional quantile trajectories are useful descriptors of processes that quantify deterioration over time, such as hippocampal volumes in Alzheimer’s patients. We demonstrate how the proposed approach can be applied to longitudinal snippets data sampled from such processes. Supplementary materials for this article are available online.
Global Employee Relations Organizational Structure and Design
Creators: name: Zeller, Donna
Publisher: name: Zenodo
Year: 2020
Subjects: Organizational Structure
Organizational Design
Global Employee Relations
Strategic Human Resource Management

description: Abstract The overall objective of this paper is to identify any relationship between global employee relations and organizational structure and design in the transnational model of multinational organizations. Whether global employee relations influence or is influenced by the organizational structure and design in the transnational model of multinational organizations is one part of the issue. Another possibility to be considered is if practices do differ from the formal global employee relations policies; then why, when, and how do the practices change? In addition, recommendations for the role of strategic human resource policies and practices in global employee relations policies and practices are presented.  See Global Employee Relations (ER): Home and Host Country Effects (Spring 2012, Revised Fall 2016) http://doi.org/10.5281/zenodo.1481891 See Global Employee Relations (ER): Business Strategies and Objectives (2020) http://doi.org/10.5281/zenodo.3595409
A Low-Cost Closed-Tube Method for Detection of Adulteration in Ground Meat
Creators: name: Jafar, Sana
name: Waheed, Fadia
name: Anjum, Khalid Mahmood
name: Shehzad, Wasim
name: Imran, Muhammad
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Science Policy

description: The increased public concern about adulteration and mislabelling of meat products has fueled a need for the development of fast, reliable, and cost-effective species detection methods. Hence, we developed a high resolution melt analysis (HRMA) for the discrimination of meat species commonly used in the meat industry and their possible adulterants. A universal primer pair spanning a ⁓238 bp fragment of mitochondrial 16S rRNA gene was designed to perform HRMA. The developed workflow was validated on standard meat samples, ternary meat mixtures of eight different species, and 56 commercial meat samples. Distinct melting profiles were generated for each species, several ternary meat mixtures, and commercial food samples. The assay was sufficiently sensitive to detect 0.003 ng/µl of DNA of every targeted species. In short, the developed HRM analysis is a rapid, cost-effective, and efficient species discrimination system for confirmation of meat origin.
AKF-SR: Adaptive Kalman Filtering-based Successor Representation
Creators: name: Malekzadeh, Parvin
name: Salimibeni, Mohammad
name: Hou, Ming
name: Mohammadi, Arash
name: Plataniotis, Konstantinos N.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Recent studies in neuroscience suggest that Successor Representation (SR)-based models provide adaptation to changes in the goal locations or reward function faster than model-free algorithms, together with lower computational cost compared to that of model-based algorithms. However, it is not known how such representation might help animals to manage uncertainty in their decision-making. Existing methods for SR learning do not capture uncertainty about the estimated SR. In order to address this issue, the paper presents a Kalman filter-based SR framework, referred to as Adaptive Kalman Filtering-based Successor Representation (AKF-SR). First, Kalman temporal difference approach, which is a combination of the Kalman filter and the temporal difference method, is used within the AKF-SR framework to cast the SR learning procedure into a filtering problem to benefit from the uncertainty estimation of the SR, and also decreases in memory requirement and sensitivity to model's parameters in comparison to deep neural network-based algorithms. An adaptive Kalman filtering approach is then applied within the proposed AKF-SR framework in order to tune the measurement noise covariance and measurement mapping function of Kalman filter as the most important parameters affecting the filter's performance. Moreover, an active learning method that exploits the estimated uncertainty of the SR to form the behaviour policy leading to more visits to less certain values is proposed to improve the overall performance of an agent in terms of received rewards while interacting with its environment.
Approbation of the thesaurus of an interdisciplinary scientific field "Digital economy: e-governance and smart technologies
Creators: name: Kononova, O.V.
name: Elkina, E.E.
name: Prokudin, D.E.
Publisher: name: Zenodo
Year: 2019
Subjects: terminological base
interdisciplinary research area
digital economy
electronic management
smart technologies
approbation
thesaurus

description: This file describes the purpose, objectives, and methodology for testing the thesaurus of the interdisciplinary research area "Digital economy: electronic management and smart technologies". The thesaurus was formed in 2018 as part of the project "The integrated approach elaboration to the analysis of the terminological base of the developing interdisciplinary research in distributed network environment" No 18-011-00923, 2018-2020 (Russian Foundation for Basic Research (RFBR)). Testing was carried out in 2019 using eLibrary (http://elibrary.ru) analytical tools. The results of testing confirm the universal nature of the synthetic method in the study of the development of the thesaurus of the interdisciplinary scientific direction "Digital economy:
 electronic management and smart technologies".
Ultra-high terahertz index in deep subwavelength coupled bi-layer free-standing flexible metamaterials
Creators: name: Singh, Leena
name: Singh, Ranjan
name: Zhang, Weili
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: We report extensive enhancement in the refractive index of artificially designed metamaterials by exploiting the deep subwavelength coupling in a free-standing, thin-film metal-dielectric-metal checkboard structure. A record high refractive index of 77.02+43.22i is obtained at terahertz frequencies. The detailed investigations reveal that the enhancement of the effective refractive index of the structure via deep subwavelength coupling in a bilayer design is governed by a power law, which is an effective and simpler approach to design high index metamaterial. The approach relies on deep subwavelength coupling to obtain extremely high refractive index values that can lead to many practical applications in the field of imaging, lithography, design of delay lines and interferometers.
Bayesian Estimation and Comparison of Moment Condition Models*
Creators: name: Siddhartha Chib
name: Minchul Shin
name: Simoni, Anna
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: In this paper we develop a Bayesian semiparametric analysis of moment condition models by casting the problem within the Exponentially Tilted Empirical Likelihood (ETEL) framework. We use this framework to develop a fully Bayesian analysis of correctly and misspecified moment condition models. We show that even under misspecification, the Bayesian ETEL posterior distribution satisfies the Bernstein - von Mises (BvM) theorem. We also develop a unified approach based on marginal likelihoods and Bayes factors for comparing different moment restricted models and for discarding any misspecified moment restrictions. Computation of the marginal likelihoods is by the method of Chib (1995) as extended to Metropolis-Hastings samplers in Chib and Jeliazkov (2001). We establish the model selection consistency of the marginal likelihood and show that the marginal likelihood favors the model with the minimum number of parameters and the maximum number of valid moment restrictions. When the models are misspecified, the marginal likelihood model selection procedure selects the model that is closer to the (unknown) true data generating process in terms of the Kullback-Leibler divergence. The ideas and results in this paper broaden the theoretical underpinning and value of the Bayesian ETEL framework with many practical applications. The discussion is illuminated through several examples.
Optimal Penalized Function-on-Function Regression under a Reproducing Kernel Hilbert Space Framework
Creators: name: Xiaoxiao Sun
name: Pang Du
name: Wang, Xiao
name: Ma, Ping
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Many scientific studies collect data where the response and predictor variables are both functions of time, location, or some other covariate. Understanding the relationship between these functional variables is a common goal in these studies. Motivated from two real-life examples, we present in this paper a function-on-function regression model that can be used to analyze such kind of functional data. Our estimator of the 2D coefficient function is the optimizer of a form of penalized least squares where the penalty enforces a certain level of smoothness on the estimator. Our first result is the Representer Theorem which states that the exact optimizer of the penalized least squares actually resides in a data-adaptive finite dimensional subspace although the optimization problem is defined on a function space of infinite dimensions. This theorem then allows us an easy incorporation of the Gaussian quadrature into the optimization of the penalized least squares, which can be carried out through standard numerical procedures. We also show that our estimator achieves the minimax convergence rate in mean prediction under the framework of function-on-function regression. Extensive simulation studies demonstrate the numerical advantages of our method over the existing ones, where a sparse functional data extension is also introduced. The proposed method is then applied to our motivating examples of the benchmark Canadian weather data and a histone regulation study.
Resilient Infrastructure Network: Sparse Edge Change Identification via L1-Regularized Least Squares
Creators: name: Anguluri, Rajasekhar
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: Mathematics - Optimization and Control
Statistics - Applications
Computer Science - Social and Information Networks

description: IEEE CDC 2024
description: Adversarial actions and a rapid climate change are disrupting operations of infrastructure networks (e.g., energy, water, and transportation systems). Unaddressed disruptions lead to system-wide shutdowns, emphasizing the need for quick and robust identification methods. One significant disruption arises from edge changes (addition or deletion) in networks. We present an l₁-norm regularized least-squares framework to identify multiple but sparse edge changes using noisy data. We focus only on networks that obey equilibrium equations, as commonly observed in the above sectors. The presence or lack of edges in these networks is captured by the sparsity pattern of the weighted, symmetric Laplacian matrix, while noisy data are node injections and potentials. Our proposed framework systematically leverages the inherent structure within the Laplacian matrix, effectively avoiding overparameterization. We demonstrate the robustness and efficacy of the proposed approach through a series of representative examples, with a primary emphasis on power networks.
Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework
Creators: name: Xiaoxiao Sun
name: Pang Du
name: Wang, Xiao
name: Ma, Ping
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Medicine
subject: Molecular Biology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: Many scientific studies collect data where the response and predictor variables are both functions of time, location, or some other covariate. Understanding the relationship between these functional variables is a common goal in these studies. Motivated from two real-life examples, we present in this article a function-on-function regression model that can be used to analyze such kind of functional data. Our estimator of the 2D coefficient function is the optimizer of a form of penalized least squares where the penalty enforces a certain level of smoothness on the estimator. Our first result is the representer theorem which states that the exact optimizer of the penalized least squares actually resides in a data-adaptive finite-dimensional subspace although the optimization problem is defined on a function space of infinite dimensions. This theorem then allows us an easy incorporation of the Gaussian quadrature into the optimization of the penalized least squares, which can be carried out through standard numerical procedures. We also show that our estimator achieves the minimax convergence rate in mean prediction under the framework of function-on-function regression. Extensive simulation studies demonstrate the numerical advantages of our method over the existing ones, where a sparse functional data extension is also introduced. The proposed method is then applied to our motivating examples of the benchmark Canadian weather data and a histone regulation study. Supplementary materials for this article are available online.
Distributed Robust Geocast Multicast Routing for Inter-Vehicle Communication
Creators: name: Joshi, Harshvardhan P.
name: Sichitiu, Mihail L.
name: Kihl, Maria
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Numerous protocols for geocast have been proposed in literature. It has been shown that explicit route setup approaches perform poorly with VANETs due to limited route lifetime and frequent network fragmentation. The broadcast based approaches have considerable redundancy and add significantly to the overhead of the protocol. A completely distributed and robust geocast approach is presented in this paper, that is resilient to frequent topology changes and network fragmentation. A distance-based backoff algorithm is used to reduce the number of hops and a novel mechanism to reduce redundant broadcasts is introduced. The performance of the proposed protocol is evaluated for various scenarios and compared with simple flooding and a protocol based on explicit route setup.
description: 12 pages
title: Education and Training of BS Analytical Chemists for Entry-Level Positions in Industry: A Survey
Creators: name: Tyson, Julian
name: Fahey, Angela M.
Publisher: name: University of Massachusetts Amherst
Year: 2006
Subjects: subject: Education
subject: training
subject: BS
subject: Analytical Chemists
subject: Entry-Level Positions
subject: Industry
subject: Survey
subject: Analytical Chemistry
subject: FOS: Chemical sciences
subject: Chemistry

description: Surveys, in 1993 and 2003, of industrial employers of BS analytical chemists show that respondents consider employees’ abilities to work as a team member, solve problems, write and communicate orally, work safely with a positive ethic, perform calculations, and apply basic chemical principles to be the most important. There is dissatisfaction with the preparation of graduates with regard to communications skills, safety training, and problem-solving abilities. Respondents also indicated that graduates should have had hands-on experience with a variety of chromatographic and spectroscopic techniques as well as some techniques not commonly encountered in the teaching laboratory, such as auto-titration, microwave digestion, and optical microscopy. Examination of recent surveys of the content of analytical chemistry courses shows a decline in the extent to which electrochemical techniques feature in the curriculum, with the possible exception of cyclic voltammetry and potentiometry, and an increase in the prominence of spectroscopy and separations, in line with the expectations of industrial employers.
The Bayesian causal inference model benefits from an informed prior to predict proprioceptive drift in the rubber foot illusion
Creators: name: Schürmann, Tim
name: Vogt, Joachim
name: Christ, Oliver
name: Beckerle, Philipp
Publisher: name: Springer
Year: 2019
Subjects: subject: Rubber Leg Illusion
subject: Bayesian Cognitive Modeling
subject: Wearable Robotics
subject: 100 - Philosophie und Psychologie

description: Bayesian cognitive modeling has become a prominent tool for the cognitive sciences aiming at a deeper understanding of the human mind and applications in cognitive systems, e.g., humanoid or wearable robotics. Such approaches can capture human behavior adequately with a focus on the crossmodal processing of sensory information. We investigate whether the Bayesian causal inference model can estimate the proprioceptive drift observed in empirical studies.
Neues Konzept zur Entwicklung einer thermischen Freisetzungsstrategie von locked nucleic acids zur Gentherapie
Creators: name: Hempel, Katharina
Publisher: name: Hannover : Institutionelles Repositorium der Leibniz Universität Hannover
Year: 2024
Subjects: subject: nanoparticle
subject: locked nucleic acid
subject: magnetic field
subject: release
subject: heart failure
subject: Nanopartikel
subject: Magnetfeld
subject: Freisetzung
subject: Herzinsuffizienz
subject: Dewey Decimal Classification::500 | Naturwissenschaften

description: ...
“We will build together”: Sowing the seeds of SEL statewide
Creators: name: Shapiro, Valerie B.
name: Duane, Addison M.
name: Lee, Mai Xi
name: Jones, Tiffany M.
name: Metzger, Ashley N.
name: Khan, Sobia
name: Cook, Channa M.
name: Hwang, Sophia H. J.
name: Malicote, Brent
name: Nuñez, Alejandro
name: Lee, Juyeon
name: McLaughlin, Mike
name: Caballero, Jonathan A.
name: Moore, Julia E.
name: Williams, Christopher
name: Eva, Amy L.
name: Ferreira, Colleen
name: McVeagh-Lally, Pamela
name: Kooler, Jim
Publisher: name: Elsevier
Year: 2024

description: Social and emotional learning (SEL) has been lauded as important for student success. However, little guidance is available for how educators, scholars, and policymakers can work together to improve SEL implementation in public schools across a state. Here, we describe CalHOPE Student Support – an effort to “sow the seeds” of SEL across California. Invoking the metaphor of a garden, we first discuss the historic developments in California that readied the ground for such work. Then, we lift up the voices of education leaders who have been catalysts for transforming the landscape. Next, we describe our collective vision for a “thriving garden” – the process and outcomes we aim to achieve. We then explain how we harmonized essential elements (e.g., information, support, values, and action) into a comprehensive system for statewide SEL implementation. Then, we share information about our garden’s yield – our successes and ongoing struggles, through the voices of our collaborators. We end with a synthesis of lessons learned (e.g., build capacity for change-making, differentiate support, plan for turnover) for use by other educational leaders seeking to advance SEL in their regions.
Acoustic Infrastructure
Creators: name: Allen, Jamie
name: Khaikin, Lital
name: Linder, Isaac
Publisher: name: Continent
Year: 2016
Subjects: subject: sound
subject: technology
subject: human-environmental relations
subject: 700 - Künste und Unterhaltung

description: The street-level sonic cultures, acoustic ecologies and personal interventions available to us have, during this long 20th Century, become proliferated by speakers, microphones, synthesised and recorded playbacks, beeps, buzzes and alarms. Roving gangs of indignant mobile-phone music-listeners disrupt the public transit experience. iPhones chirp out the sound of something called ‘crickets’, creatures many a listener may very well never encounter. Airlines pass on the extravagant levy of ‘noise charges’ to their customers, a kind of psychic and acoustic bandwidth fee. Microwave ovens, automobiles and authoritative ahuman voices chime out an acoustic ecology that is neither ‘natural’ nor ‘cultural’, neither ‘societal’ nor ‘technological’, but something that is a heterogeneous mixture of all of these sources, causes and categories. These are 'acoustic infrastructures', and although human-made, they are naturalised by their ubiquity and always-on-ness, along with our allover, everyday, experience of them.
title: ADCO, Cartulaire du prieuré Notre-Dame de Bonvaux, dépendant du Val-des-Ecoliers (XVe siècle), Dijon, Cart. 228 (27 H), 68 folios, 109 actes (1211-1356), f. 0041
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2011
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire du prieuré Notre-Dame de Bonvaux, dépendant du Val-des-Ecoliers (XVe siècle), Dijon, Archives départementales de la Côte-d'Or, Cart. 228 (27 H), 68 folios, 109 actes (1211-1356). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire du prieuré Notre-Dame de Bonvaux, dépendant du Val-des-Ecoliers (XVe siècle), Dijon, Archives départementales de la Côte-d'Or, Cart. 228 (27 H), 68 folios, 109 actes (1211-1356), f. 0041, in Projet CBMA - Corpus Burgundiae Medii Aevi \[Ressource en ligne\], https:// manuscrits.cbma-project.eu/
description: Provenance: Dijon
description: Provenance: http://www.wikidata.org/entity/Q7003
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb15250518p
description: Provenance: http://www.idref.fr/02643413X/id
description: Provenance: https://www.geonames.org/6453767
Additional file 2 of Epigenetic induction of tumor stemness via the lipopolysaccharide-TET3-HOXB2 signaling axis in esophageal squamous cell carcinoma
Creators: name: Xu, Fengkai
name: Liu, Zhonghe
name: Liu, Ronghua
name: Lu, Chunlai
name: Wang, Lin
name: Mao, Wei
name: Zhu, Qiaoliang
name: Shou, Huankai
name: Zhang, Kunpeng
name: Li, Yin
name: Chu, Yiwei
name: Gu, Jie
name: Ge, Di
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 1:Figure S1. (A) Flow cytometry gating strategies and representative plots. (B) RT-qPCR was performed to detected TET3 mRNA level in ESCC tissues and para-cancerous tissues. (C) RT-qPCR was performed to detected TET3 mRNA level in ESCC cell lines and normal esophageal mucosa epithelium cell line. Figure S2. Kaplan-Meier product limit estimator was applied to draw overall survival (OS) curves of 299 enrolled ESCC patients, compared according to TET3 expression level, in stage I-II (A), stage III-IV (B), grade I (C) and grade II-III (D). Figure S3. The knockdown (si-control vs si-TET3) and overexpression (ov-control vs ov-TET3) of TET3 in cell lines were verified with RT-qPCR (A) and Western blot (B). Figure S4. Tumor xenograft was applied to assess the proliferation ability of ESCC cells influenced by TET3 expression. ov-Control group was implanted into the left posterior flank and ov-TET3 group was implanted into the right posterior flank of the same mouse. (ns: no significance, *p < 0.05, **p < 0.01, ***p < 0.001). Figure S5. Dot-blot was performed to detect the 5hmC DNA level of ESCC cells with with PBS or LPS stimulation (left panel). The right panel shows the membrane stained with methylene blue as an internal reference. Figure S6. (A) RT-qPCR and Western blot were applied to detect HOXB2 expression upon LPS stimulation and knockdown of TET2. (B) RT-qPCR and Western blot were applied to detect whether knockdown of HOXB2 influenced TET3 expression. (ns: no significance, *p < 0.05, **p < 0.01, ***p < 0.001). Table S1. Antibodies, inhibitors and other reagents. Table S2. Sequences for siRNA (5′-3′). Table S3. Primer sequences for PCR (5′-3′).
Optimal Penalized Function-on-Function Regression Under a Reproducing Kernel Hilbert Space Framework
Creators: name: Xiaoxiao Sun
name: Pang Du
name: Wang, Xiao
name: Ma, Ping
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Medicine
subject: Molecular Biology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: Many scientific studies collect data where the response and predictor variables are both functions of time, location, or some other covariate. Understanding the relationship between these functional variables is a common goal in these studies. Motivated from two real-life examples, we present in this article a function-on-function regression model that can be used to analyze such kind of functional data. Our estimator of the 2D coefficient function is the optimizer of a form of penalized least squares where the penalty enforces a certain level of smoothness on the estimator. Our first result is the representer theorem which states that the exact optimizer of the penalized least squares actually resides in a data-adaptive finite-dimensional subspace although the optimization problem is defined on a function space of infinite dimensions. This theorem then allows us an easy incorporation of the Gaussian quadrature into the optimization of the penalized least squares, which can be carried out through standard numerical procedures. We also show that our estimator achieves the minimax convergence rate in mean prediction under the framework of function-on-function regression. Extensive simulation studies demonstrate the numerical advantages of our method over the existing ones, where a sparse functional data extension is also introduced. The proposed method is then applied to our motivating examples of the benchmark Canadian weather data and a histone regulation study. Supplementary materials for this article are available online.
Sensitive label-free and compact ultrasonic sensor based on double silicon-on-insulator slot micro-ring resonators
Creators: name: Zhang, Cheng Mei
name: Zhao, Chao Ying
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: We propose a new label-free ultrasonic sensor, which comprises a slot wave-guide and double silicon-on-insulator (SOI) slot micro-ring resonators. The all-optical sensors do not suffer from electromagnetic interference. We choose to integrate a silicon slot double micro-ring (SDMR) resonators in an acoustically resonant membrane. Optimization of the several key structural parameters is investigated to achieve the mode-field distributions of transmission spectrum based on Comsol Multiphysics software. Our numerical studies show that the proposed ultrasonic sensor offers higher sensitivity and a larger detection frequency range than conventional piezoelectric based ultrasound transducer. For a SDMR system with an area of 15um*30um, sensitivity as high as 2453.7mv/kpa, and over a bandwidth range of 1-150MHz. The sensitivity value is 36 times higher than that of single slot micro-ring ultrasonic sensor. The theoretical-factor of the SDMR can be approximately 1.24*10^6 with bending radius of 5um. The investigation on the SDMR system is a valuable exploration of the photo-acoustic microscopy for the ultra-high Q factor and large frequency range.
description: 12 pages, 6 figure, 32 references
Dynamic Modeling of Conditional Quantile Trajectories, with Application to Longitudinal Snippet Data
Creators: name: Dawson, Matthew
name: Hans-Georg Müller
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Physiology
subject: FOS: Biological sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Computational Biology

description: Longitudinal data are often plagued with sparsity of time points where measurements are available. The functional data analysis perspective has been shown to provide an effective and flexible approach to address this problem for the case where measurements are sparse but their times are randomly distributed over an interval. Here we focus on a different scenario where available data can be characterized as snippets, which are very short stretches of longitudinal measurements. For each subject the stretch of available data is much shorter than the time frame of interest, a common occurrence in accelerated longitudinal studies. An added challenge is introduced if a time proxy that is basic for usual longitudinal modeling is not available. This situation arises in the case of Alzheimer's disease and comparable scenarios, where one is interested in time dynamics of declining performance, but the time of disease onset is unknown and chronological age does not provide a meaningful time reference for longitudinal modeling. Our main methodological contribution to address these challenges is to introduce conditional quantile trajectories for monotonic processes that emerge as solutions of a dynamic system. Our proposed estimates for these trajectories are shown to be uniformly consistent. Conditional quantile trajectories are useful descriptors of processes that quantify deterioration over time, such as hippocampal volumes in Alzheimer's patients. We demonstrate how the proposed approach can be applied to longitudinal snippets data sampled from such processes.
Two seven-coordinate Mn(II) complexes derived from pentadentate ligands: Structural characterization and investigation of photophysical properties
Creators: name: Kose, Muhammet
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: Two mononuclear Mn(II) complexes derived from pentadentate ligands were prepared and characterized. Molecular structures of the complexes were determined by X-ray diffraction studies. Mn(II) ions in both structures are seven-coordinate with approximate pentagonal bipyramidal geometry where the pyridinediimine unit and phenolic or alcoholic oxygen atoms (N3O2) of the ligand are located at the pentagonal plane and two exogenous ligands at the axial positions. In the structure of [Mn(HL2)Cl(CH3OH)]·2(CH3OH), methanol solvates link complex molecules into a 1D hydrogen-bonded chain. Emission spectra of the complexes show only one emission band in the 595–625 nm range upon excitation in the 585–615 nm range.
The Threat Modeling Naturally Tool: An Interactive Tool Supporting More Natural Flexible and Ad-Hoc Threat Modeling
Creators: name: Thompson, Ronald E.
name: Red, Madison
name: Zhang, Richard
name: Kwon, Yaejie
name: Dang, Lisa
name: Pellegrini, Christopher
name: Nesru, Esam
name: Jain, Mira
name: Chin, Caroline
name: Votipka, Daniel
name: University, Tufts
name: College, Swarthmore
name: University, Northeastern
Publisher: name: Maryland Shared Open Access Repository
Year: 2024

description: USENIX Symposium on Usable Privacy and Security (SOUPS) 2024. August 11–13, 2024, Philadelphia, PA, United States.
description: Threat modeling is an important process in achieving secureby-design software systems. While some tools have been developed to aid system architects in building threat models, many of these do not support the more flexible ways that threat modeling occurs in practice. We present the Threat Modeling Naturally Tool as the first step in providing architects with a tool that allows for a more natural threat modeling process that is modular in design. This tool consists of a threat modeling Domain-Specific Language and a series of modular components that allow users to specify their system and assign threats and mitigations without disrupting their brainstorming. We describe the design and implementation of our tool using a mock medical device as a case study as well as discuss how the tool can be used for future work supporting threat modeling research.
Quantitative analysis of diaphragm motion during fluoroscopic sniff test to assist in diagnosis of hemidiaphragm paralysis
Creators: name: Chow, Jacky
name: Hatem, Muhammed
Publisher: name: arXiv
Year: 2022
Subjects: subject: Medical Physics (physics.med-ph)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The current imaging gold standard for detecting paradoxical diaphragm motion and diagnosing hemidiaphragm paralysis is to perform the fluoroscopic sniff test. The images are visually examined by an experienced radiologist, and if one hemidiaphragm ascends while the other descends, then it is described as paradoxical motion, which is highly suggestive of hemidiaphragm paralysis. However, diagnosis can be challenging because diaphragm motion during sniffing is fast, paradoxical motion can be subtle, and the analysis is based on a 2-dimensional projection of a 3-dimensional surface. This paper presents a case of chronic left hemidiaphragm elevation that was initially reported as mild paradoxical motion on fluoroscopy. After measuring the elevations of the diaphragms and modeling their temporal correlation using Gaussian process regression, the systematic trend of the hemidiaphragmatic motion along with its stochastic properties was determined. When analyzing the trajectories of the hemidiaphragms, no statistically significant paradoxical motion was detected. This could potentially change the prognosis if the patient was to consider diaphragm plication as treatment. The presented method provides a more objective analysis of hemidiaphragm motions and can potentially improve diagnostic accuracy.
Modeling Tangential Vector Fields on a Sphere
Creators: name: Minjie Fan
name: Paul, Debashis
name: Lee, Thomas C. M.
name: Matsuo, Tomoko
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Neuroscience
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: Physical processes that manifest as tangential vector fields on a sphere are common in geophysical and environmental sciences. These naturally occurring vector fields are often subject to physical constraints, such as being curl-free or divergence-free. We start with constructing parametric models for curl-free and divergence-free vector fields that are tangential to the unit sphere through applying the surface gradient or the surface curl operator to a scalar random potential field on the unit sphere. Using the Helmholtz–Hodge decomposition, we then construct a class of simple but flexible parametric models for general tangential vector fields, which are represented as a sum of a curl-free and a divergence-free components. We propose a likelihood-based parameter estimation procedure, and show that fast computation is possible even for large datasets when the observations are on a regular latitude–longitude grid. Characteristics and practical utility of the proposed methodology are illustrated through extensive simulation studies and an application to a dataset of ocean surface wind velocities collected by satellite-based scatterometers. We also compare our model with a bivariate Matérn model and a non-stationary bivariate global model. Supplementary materials for this article are available online.
title: ADCO, Cartulaire de Cîteaux pour les possessions de Tontenant (c. 1504), Cart. 184 (11 H 987), 105 folios, f. 0098
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2015
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire

description: Cartulaire de Cîteaux pour les possessions de Tontenant (c. 1504), Archives départementales de la Côte-d'Or, Cart. 184 (11 H 987), 105 folios, f. 0098, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de Cîteaux pour les possessions de Tontenant (c. 1504), Archives départementales de la Côte-d'Or, Cart. 184 (11 H 987), 105 folios, f. 0098, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Net zero energy balance for high-rise buildings
Creators: name: Hall, Monika
name: Geissler, Achim
Publisher: name: Advanced Building Skins
Year: 2016
Subjects: Net zero energy building
PV-facade
high-rise building
self-consumption
net zero energy balance

description: Multifamily dwellings and office buildings with a square and a stretched footprint with up to 40 floors are considered for a net zero energy balance. A wide range of parameters is investigated in regard to their impact on the zero energy balance. The main results gained by the simulation based research described above can be summarized as follows: Only the HVAC zero balance can be achieved for up to 40 floors for all variants studied but one. The five main parameters in regard to achieving a HVAC or TE zero energy balance are, efficient electric devices and lighting, low heat demand, the type of heating system, the actually available area for PV and the overall efficiency of the PV-System. The results show that a net zero energy balance for HVAC only or for total energy can be achieved for large multifamily dwellings and office buildings of up to 40 floors. To this end, however, apart from a well-insulated building envelope, electronic devices, lighting and PV systems with a very high efficiency are necessary. With further improvements in the efficiency of devices, lighting and PV-systems, reaching the "zero" will become easier.
Complex Procrustes problems in l_p spaces without translation
Creators: name: Fankhaenel, Jens
name: Benner, Peter
Publisher: name: figshare
Year: 2017
Subjects: subject: 10303 Optimisation
subject: FOS: Mathematics
subject: 10401 Applied Statistics
subject: 10104 Combinatorics and Discrete Mathematics (excl. Physical Combinatorics)
subject: Geometry

description: We extend our research on Procrustes problems in l_p spaces by complex cases.
Der Blockchain Hype
Creators: name: Knecht, Markus
Publisher: name: Fachhochschule Nordwestschweiz FHNW
Year: 2018
Subjects: subject: Kryptographie
subject: Blockchain
subject: Kryptowährung
subject: 004 - Computer Wissenschaften, Internet
subject: 510 - Mathematik

description: Die Kryptowährung Bitcoin ist weltweit bekannt. Die darunterliegenden Konzepte und Technologien sind aber vielen Leuten unbekannt. Der Begriff Blockchain hingegen sagt meist nur technisch interessierten Personen etwas. Die Blockchain ist die Technologie, welche Kryptowährungen wie Bitcoin überhaupt erst ermöglicht. Kryptowährungen und vor allem Blockchains durchlaufen gerade eine Hype-Phase und immer mehr Projekte werden gestartet, die mit Blockchains zu tun haben. In diesem Artikel beschreiben wir, was es mit dem ganzen Hype auf sich hat, wie die tragende Technologie dahinter funktioniert und was sich damit alles bewerkstelligen lässt.
Monitoring agricultural land use and provision of value-added agricultural services I
Creators: name: Mrkajić, Vladimir
name: Vukasovic, Srdjan
name: Nićin, Nemanja
Publisher: name: Zenodo
Year: 2020
Subjects: Citizen engagement
Change detection service
Crop monitoring
Agriculture
CropSupport

description: This deliverable reports on the implementation of pilot activities of the LandSense Agricultural Land Use theme (i.e. Demonstration Case 2, Phase I). The activities were implemented between November 2017 and September 2018 in Serbia, involving students from two agricultural high schools and a group of master students from the University of Novi Sad. The data were collected via the CropSupport application, which was also tested and evaluated by the participants. The user feedbacks from Phase I will be synthesized and analysed to guide iterative improvement of the CropSupport app and the crowdsourcing campaign for Phase II.
Perceptive, non-linear Speech Processing and Spiking Neural Networks
Creators: name: Rouat, Jean
name: Pichevar, Ramin
name: Loiselle, Stéphane
Publisher: name: arXiv
Year: 2022
Subjects: subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Biological sciences

description: Source separation and speech recognition are very difficult in the context of noisy and corrupted speech. Most conventional techniques need huge databases to estimate speech (or noise) density probabilities to perform separation or recognition. We discuss the potential of perceptive speech analysis and processing in combination with biologically plausible neural network processors. We illustrate the potential of such non-linear processing of speech on a source separation system inspired by an Auditory Scene Analysis paradigm. We also discuss a potential application in speech recognition.
description: preprint of the 2005 published paper: Perceptive, Non-linear Speech Processing and Spiking Neural Networks. In: Chollet, G., Esposito, A., Faundez-Zanuy, M., Marinaro, M. (eds) Nonlinear Speech Modeling and Applications. NN 2004. Lecture Notes in Computer Science, vol 3445. Springer, Berlin, Heidelberg
Temptation in Mengzi 1A7
Creators: name: Lee, Joonho
Publisher: name: Springer
Year: 2024
Subjects: Compassion
Neo-Aristotelianism
Virtue ethics
Mengzi 孟子
Moral exemplars
Temptation

description: The harmony thesis about a virtuous person, widely held by neo-Aristotelians, supposes that someone highly vulnerable to temptation is not virtuous at all. However, is that the only plausible picture of a virtuous person’s psychology? This essay aims to offer an alternative picture by discussing the account of virtue in the thought of Mengzi 孟子 and his conception of moral exemplars. First, I analyze the Mengzian moral exemplar as depicted in Mengzi 1A7—specifically, the susceptibility of the nobleman (junzi 君子) to compassion and the relevant temptation. Then, I explain how this differs from neo-Aristotelian virtue ethical theories. This passage shows that there is a certain price to being virtuous in Mengzi’s virtue theory. By examining various ways of addressing this challenge, I explore Mengzi’s solution to it, which will shed light on Mengzi’s own way of specifying virtue and its significant advantage as a potential alternative to certain other approaches.