cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Undergraduate Nano Ionospheric Temperature Explorer (UNITE) : Command board and temperature sensor array
Creators: name: Will, Adam Jeffrey
Publisher: name: Unknown
Year: 2018

description: The Undergraduate Nano Ionospheric Temperature Explorer (UNITE) CubeSat is a 3U
nanosatellite that will explore Low Earth Orbit until re-entry into the atmosphere around 90 km. The
mission of UNITE is to conduct space weather measurements with a Langmuir plasma probe,
measure interior and exterior temperature of the craft, and model the craft's orbit in the final hours of
re-entry. The lower ionosphere is a relatively unexplored region of space and the scientific data
collected and transmitted by UNITE will contribute to the understanding of the region. This report
documents the status of the Command and Data Handling subsystem hardware and Temperature
Sensor Array subsystem of UNITE as of the end of the Fall semester 2017. Focus is primarily on the
development process of the student-designed hardware and on the integration and test phase of the
project.
The requirements defined in the report, and the trade studies performed, were used to
determine the components chosen for the flight processor board and temperature sensor boards. In
addition to the development process descriptions, this report provides aides to understand the
operation of the hardware and the constraints involved in the design. The concept of operations,
functional block diagram, and subsystem breakdown provide visual aids for the functionality of the
CubeSat. The subsystem requirements, budget, and schedule outline some of the constraints to
designing the hardware. The subsystem level requirements were also used to verify the function of
subsystem components. Likewise, established system requirements were used to verify the function
of the system after integration. In addition to verification testing, qualification testing was performed
to ensure compliance with the launch provider and to further test the system in preparation for launch
and deployment into orbit.
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
Creators: name: Zhang, Zhenwei
name: Meng, Linghang
name: Gu, Yuantao
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In the burgeoning ecosystem of Internet of Things, multivariate time series (MTS) data has become ubiquitous, highlighting the fundamental role of time series forecasting across numerous applications. The crucial challenge of long-term MTS forecasting requires adept models capable of capturing both intra- and inter-series dependencies. Recent advancements in deep learning, notably Transformers, have shown promise. However, many prevailing methods either marginalize inter-series dependencies or overlook them entirely. To bridge this gap, this paper introduces a novel series-aware framework, explicitly designed to emphasize the significance of such dependencies. At the heart of this framework lies our specific implementation: the SageFormer. As a Series-aware Graph-enhanced Transformer model, SageFormer proficiently discerns and models the intricate relationships between series using graph structures. Beyond capturing diverse temporal patterns, it also curtails redundant information across series. Notably, the series-aware framework seamlessly integrates with existing Transformer-based models, enriching their ability to comprehend inter-series relationships. Extensive experiments on real-world and synthetic datasets validate the superior performance of SageFormer against contemporary state-of-the-art approaches.
description: Published in: IEEE Internet of Things Journal ( Volume: 11, Issue: 10, 15 May 2024)
title: Молодежь в цифровом обществе: риски и возможности
Creators: name: Касавина, Н. А.
Publisher: name: Реноме
Year: 2019

description: Цифровые технологии являются инструментом масштабных социальных изменений, механизмом осуществления и координации инновационной деятельности, важнейшей платформой коммуникации. Молодежь — активный субъект этих изменений, культуру которого необходимо понять как культуру всеобъемлющих медиа, конструирующих новый социальный мир. Роль социально-гуманитарных наук состоит в осуществлении критической оценки усиливающегося влияния современной цифровой реальности на жизненный мир новых поколений, в создании критериев и механизмов «человекоразмерности» электронной культуры, в постановке принципа благополучия человека в центр развития информационно-коммуникативных технологий.
Ключевые слова: молодежь, цифровое общество, цифровое поколение, личностная идентичность, интернет-пространство, интернет-зависимость, социальные сети, цифровое гражданство, гражданское общество.
An implicit DG solver for incompressible two-phase flows with an artificial compressibility formulation
Creators: name: Orlando, Giuseppe
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We propose an implicit Discontinuous Galerkin (DG) discretization for incompressible two-phase flows using an artificial compressibility formulation. The conservative level set (CLS) method is employed in combination with a reinitialization procedure to capture the moving interface. A projection method based on the L-stable TR-BDF2 method is adopted for the time discretization of the Navier-Stokes equations and of the level set method. Adaptive Mesh Refinement (AMR) is employed to enhance the resolution in correspondence of the interface between the two fluids. The effectiveness of the proposed approach is shown in a number of classical benchmarks. A specific analysis on the influence of different choices of the mixture viscosity is also carried out.
Fast Empirical Scenarios
Creators: name: Multerer, Michael
name: Schneider, Paul
name: Sen, Rohan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: Risk Management (q-fin.RM)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Economics and business
subject: 11C20, 41A55, 46E22, 46N30, 60-08, 68W25

description: We seek to extract a small number of representative scenarios from large panel data that are consistent with sample moments. Among two novel algorithms, the first identifies scenarios that have not been observed before, and comes with a scenario-based representation of covariance matrices. The second proposal selects important data points from states of the world that have already realized, and are consistent with higher-order sample moment information. Both algorithms are efficient to compute and lend themselves to consistent scenario-based modeling and multi-dimensional numerical integration that can be used for interpretable decision-making under uncertainty. Extensive numerical benchmarking studies and an application in portfolio optimization favor the proposed algorithms.
description: 23 pages, 8 figures
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
Creators: name: Nicolas, Julien
name: Chiaroni, Florent
name: Ziko, Imtiaz
name: Ahmad, Ola
name: Desrosiers, Christian
name: Dolz, Jose
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Despite the recent progress in incremental learning, addressing catastrophic forgetting under distributional drift is still an open and important problem. Indeed, while state-of-the-art domain incremental learning (DIL) methods perform satisfactorily within known domains, their performance largely degrades in the presence of novel domains. This limitation hampers their generalizability, and restricts their scalability to more realistic settings where train and test data are drawn from different distributions. To address these limitations, we present a novel DIL approach based on a mixture of prompt-tuned CLIP models (MoP-CLIP), which generalizes the paradigm of S-Prompting to handle both in-distribution and out-of-distribution data at inference. In particular, at the training stage we model the features distribution of every class in each domain, learning individual text and visual prompts to adapt to a given domain. At inference, the learned distributions allow us to identify whether a given test sample belongs to a known domain, selecting the correct prompt for the classification task, or from an unseen domain, leveraging a mixture of the prompt-tuned CLIP models. Our empirical evaluation reveals the poor performance of existing DIL methods under domain shift, and suggests that the proposed MoP-CLIP performs competitively in the standard DIL settings while outperforming state-of-the-art methods in OOD scenarios. These results demonstrate the superiority of MoP-CLIP, offering a robust and general solution to the problem of domain incremental learning.
description: 13 pages, 5 figures
Confined granular gases under the influence of vibrating walls
Creators: name: Mayo, M.
name: Petit, J. C.
name: de Soria, M. I. García
name: Maynar, P.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The dynamics of a system composed of inelastic hard spheres or disks that are confined between two parallel vertically vibrating walls is studied (the vertical direction is defined as the direction perpendicular to the walls). The distance between the two walls is supposed to be larger than twice the diameter of the particles so that the particles can pass over each other, but still much smaller than the dimensions of the walls. Hence, the system can be considered to be quasi-two-dimensional (quasi-one-dimensional) in the hard spheres (disks) case. For dilute systems, a closed evolution equation for the one-particle distribution function is formulated that takes into account the effects of the confinement. Assuming the system is spatially homogeneous, the kinetic equation is solved approximating the distribution function by a two-temperatures (horizontal and vertical) gaussian distribution. The obtained evolution equations for the partial temperatures are solved, finding a very good agreement with Molecular Dynamics simulation results for a wide range of the parameters (inelasticity, height and density) for states whose projection over a plane parallel to the walls is homogeneous. In the stationary state, where the energy lost in collisions is compensated by the energy injected by the walls, the pressure tensor in the horizontal direction is analyzed and its relation with an instability of the homogenous state observed in the simulations is discussed.
description: 36 pages, 14 figures, Accepted in Journal of Statistical Mechanics: Theory and Experiment
Electromagnetic Debye mass within Gribov-Zwanziger action
Creators: name: Bandyopadhyay, Aritra
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In the present study we have investigated the electromagnetic Debye mass by computing the static limit of the temporal component of the one-loop photon polarization tensor involving effective quarks in the loop. These effective quarks have been considered within the Gribov-Zwanziger action, thereby incorporating the necessary non-perturbative effects. As an academic exercise, we have also shown one of the applications of this Gribov modified Debye mass by using it to evaluate the real and imaginary parts of the heavy quark potential in a QED system. This computation of the electromagnetic Debye mass and the corresponding estimations of the heavy quark potential can be seen as stepping stones in the direction of further practical QCD calculations in the non perturbative domain.
description: 9 pages, 5 figures ; Published in Journal of Physics G: Nuclear and Particle Physics
Spin-orbit-coupling-induced phase separation in trapped Bose gases
Creators: name: Gui, Zhiqian
name: Zhang, Zhenming
name: Su, Jin
name: Lyu, Hao
name: Zhang, Yongping
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: In a trapped spin-1/2 Bose-Einstein condensate with miscible interactions, a two-dimensional spin-orbit coupling can introduce an unconventional spatial separation between the two components. We reveal the physical mechanism of such a spin-orbit-coupling-induced phase separation. Detailed features of the phase separation are identified in a trapped Bose-Einstein condensate. We further analyze differences of phase separation in Rashba and anisotropic spin-orbit-coupled Bose gases. An adiabatic splitting dynamics is proposed as an application of the phase separation.
Visco-elastic damped wave models with time-dependent coefficient
Creators: name: Aslan, Halit Sevki
name: Reissig, Michael
Publisher: name: arXiv
Year: 2023
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35L30, 35B40, 35L15, 35L05

description: In this paper, we study the following Cauchy problem for linear visco-elastic damped wave models with a general time-dependent coefficient $g=g(t)$: \begin{equation} \label{EqAbstract} \tag{$\star$} \begin{cases} u_{tt}- Δu + g(t)(-Δ)u_t=0, &(t,x) \in (0,\infty) \times \mathbb{R}^n, \\ u(0,x)= u_0(x),\quad u_t(0,x)= u_1(x), &x \in \mathbb{R}^n. \end{cases} \end{equation} We are interested to study the influence of the damping term $g(t)(-Δ)u_t$ on qualitative properties of solutions to \eqref{EqAbstract} as decay estimates for energies of higher order and the parabolic effect. The main tools are related to WKB-analysis. We apply elliptic as well as hyperbolic WKB-analysis in different parts of the extended phase space.
Exploiting Sparsity for Localization of Large-Scale Wireless Sensor Networks
Creators: name: Khan, Shiraz
name: Hwang, Inseok
name: Goppert, James
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Wireless Sensor Network (WSN) localization refers to the problem of determining the position of each of the agents in a WSN using noisy measurement information. In many cases, such as in distance and bearing-based localization, the measurement model is a nonlinear function of the agents' positions, leading to pairwise interconnections between the agents. As the optimal solution for the WSN localization problem is known to be computationally expensive in these cases, an efficient approximation is desired. In this paper, we show that the inherent sparsity in this problem can be exploited to greatly reduce the computational effort of using an Extended Kalman Filter (EKF) for large-scale WSN localization. In the proposed method, which we call the Low-Bandwidth Extended Kalman Filter (LB-EKF), the measurement information matrix is converted into a banded matrix by relabeling (permuting the order of) the vertices of the graph. Using a combination of theoretical analysis and numerical simulations, it is shown that typical WSN configurations (which can be modeled as random geometric graphs) can be localized in a scalable manner using the proposed LB-EKF approach.
Heme Biosynthesis mRNA Expression Signature: Towards a Novel Prognostic Biomarker in Patients with Diffusely Infiltrating Gliomas
Creators: name: Mischkulnig, Mario
name: Kiesel, Barbara
name: Lötsch, Daniela
name: Roetzer, Thomas
name: Borkovec, Martin
name: Wadiura, Lisa I.
name: Roessler, Karl
name: Hervey-Jumper, Shawn
name: Penninger, Josef
name: Berger, Mitchel S.
name: Widhalm, Georg
name: Erhart, Friedrich
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2021

description: Diffusely infiltrating gliomas are characterized by a variable clinical course, and thus novel prognostic biomarkers are needed. The heme biosynthesis cycle constitutes a fundamental metabolic pathway and might play a crucial role in glioma biology. The aim of this study was thus to investigate the role of the heme biosynthesis mRNA expression signature on prognosis in a large glioma patient cohort. Glioma patients with available sequencing data on heme biosynthesis expression were retrieved from The Cancer Genome Atlas (TCGA). In each patient, the heme biosynthesis mRNA expression signature was calculated and categorized into low, medium, and high expression subgroups. Differences in progression-free and overall survival between these subgroups were investigated including a multivariate analysis correcting for WHO grade, tumor subtype, and patient age and sex. In a total of 693 patients, progression-free and overall survival showed a strictly monotonical decrease with increasing mRNA expression signature subgroups. In detail, median overall survival was 134.2 months in the low, 79.9 months in the intermediate, and 16.5 months in the high mRNA expression signature subgroups, respectively. The impact of mRNA expression signature on progression-free and overall survival was independent of the other analyzed prognostic factors. Our data indicate that the heme biosynthesis mRNA expression signature might serve as an additional novel prognostic marker in patients with diffusely infiltrating gliomas to optimize postoperative management.
Topological and nontopological degeneracies in generalized string-net models
Creators: name: Ritz-Zwilling, Anna
name: Fuchs, Jean-Noël
name: Simon, Steven H.
name: Vidal, Julien
Publisher: name: arXiv
Year: 2023
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Generalized string-net models have been recently proposed in order to enlarge the set of possible topological quantum phases emerging from the original string-net construction. In the present work, we do not consider vertex excitations and restrict to plaquette excitations, or fluxons, that satisfy important identities. We explain how to compute the energy-level degeneracies of the generalized string-net Hamiltonian associated to an arbitrary unitary fusion category. In contrast to the degeneracy of the ground state, which is purely topological, that of excited energy levels depends not only on the Drinfeld center of the category, but also on internal multiplicities obtained from the tube algebra defined from the category. For a noncommutative category, these internal multiplicities result in extra nontopological degeneracies. Our results are valid for any trivalent graph and any orientable surface. We illustrate our findings with nontrivial examples.
description: 28 pages, 14 figures, minor corrections
Molecular Determinants of the binding mechanism between the LTSV40 and the Retinoblastoma protein
Creators: name: Padilla Franzotti, Carla Luciana
name: Palopoli, Nicolas
name: Pierdominici-Sottile, Gustavo
Publisher: name: Zenodo
Year: 2024

description: The short linear motif (SLiM) LxCxE facilitates protein-protein interactions, particularly with the human Retinoblastoma protein (pRb). This motif is found in proteins involved in chromatin regulation, histone modification, and cell cycle control. Among these proteins is the large T antigen of simian virus 40 (LTSV40), which possesses an LxCxE motif at the beginning of an intrinsically disordered region (IDR). This results in its flanking regions being conformationally asymmetric (structured towards its N-terminal region and unstructured towards the C-terminal region).

In this study, we used computational techniques to understand the molecular determinants of the binding mechanism between LTSV40 and pRb, mediated by the LxCxE motif. Through Molecular Dynamics (MD) simulations and Umbrella Sampling, we evaluated the interaction energies and molecular characteristics of the binding processes to pRb of five different LTSV40 models.

Our results show that the regions immediately flanking the LxCxE motif significantly increase the binding energy to pRb. Additionally, we observed that when a complete LTSV40 model is considered, the interaction with pRb increases compared to models that possess the LxCxE motif and all residues that directly interact with pRb. This suggests that the global structure of LTSV40 modulates the interaction affinity of the segments directly involved in the interaction with pRb. Furthermore, when analyzing the molecular binding mechanism between LTSV40 and pRb, we determined that the N-terminal flanking residues of the LxCxE motif in LTSV40 are the first to recognize the pRb pocket. A detailed analysis of the conformational ensemble of free LTSV40 shows that the side chains of these N-terminal residues to the motif are always available for interaction as they are located in an ordered (folded) region of the system. This recognition strategy involving an ordered region combined with interaction through a contiguous disordered region could be a common feature in proteins containing this type of LxCxE motif, facilitating rapid identification and binding to target proteins.

These findings provide significant insights into the molecular mechanisms involved in the LTSV40-pRb interaction, highlighting the importance of the flanking sequences in enhancing binding affinity. Additionally, the proposed recognition/binding mechanism results could pave the way for the design of drugs and therapies targeting interactions with pRb in various diseases.
Relative abundances of CO2, CO, and CH4 in atmospheres of Earth-like lifeless planets
Creators: name: Watanabe, Yasuto
name: Ozaki, Kazumi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Carbon is an essential element for life on Earth, and the relative abundances of major carbon species (CO2, CO, and CH4) in the atmosphere exert fundamental controls on planetary climate and biogeochemistry. Here, we employed a theoretical model of atmospheric chemistry to investigate diversity in the atmospheric abundances of CO2, CO, and CH4 on Earth-like lifeless planets orbiting Sun-like (F-, G-, and K-type) stars. We focused on the conditions for the formation of a CO-rich atmosphere, which would be favorable for the origin of life. Results demonstrated that elevated atmospheric CO2 levels trigger photochemical instability of the CO budget in the atmosphere (i.e., CO runaway) owing to enhanced CO2 photolysis relative to H2O photolysis. Higher volcanic outgassing fluxes of reduced C (CO and CH4) also tend to initiate CO runaway. Our systematic examinations revealed that anoxic atmospheres of Earth-like lifeless planets could be classified in the phase space of CH4/CO2 versus CO/CO2, where a distinct gap in atmospheric carbon chemistry is expected to be observed. Our findings indicate that the gap structure is a general feature of Earth-like lifeless planets with reducing atmospheres orbiting Sun-like (F-, G-, and K-type) stars.
title: Лабораторный практикум как средство формирования экологической культуры студентов педагогического университета при изучении дисциплин естественно-научного цикла
title: Laboratory Course as a Means of Development of Environmental Culture of Pedagogical University Students when Studying Scientific Subjects
Creators: name: Лизунова, Елена Владимировна
name: Гукасян, Офик Варужановна
Publisher: name: Издательский центр СурГУ
Year: 2022

description: Лабораторные занятия при изучении дисциплин естественно-научного цикла в высших учебных заведениях являются важной составляющей формирования экологической культуры обучающихся. Они дают возможность в естественной обстановке знакомить обучающихся с природными объектами и явлениями, с сезонными изменениями, с трудом людей, направленным на преобразование окружающей среды. Во время лабораторных занятий студенты начинают познавать мир природы во всем его многообразии, развитии, отмечать взаимосвязь явлений. Данная статья посвящена проблеме формирования экологической культуры студентов педагогического университета при изучении дисциплин естественно-научного цикла. Особое внимание в решении данного вопроса авторы уделяют разработанному ими лабораторному практикуму, который реализуется в рамках интегративного курса «Юный исследователь». Курс направлен на формирование экологических знаний в области природопользования и охраны окружающей среды у студентов педагогических вузов.
description: Laboratory courses are important in development of environmental culture of students when studying scientific subjects at higher education institutions. They allow students to study natural objects and phenomena as well as seasonal variations and people’s efforts in improvement of the environment in natural conditions. During the laboratory courses students start to learn nature in a variety of its forms, in its development. They also learn to identify interrelations of its phenomena. This article is devoted to the problem of development of environmental culture of the pedagogical university students when studying scientific subjects. In solving this issue special attention is paid by the authors to the developed laboratory course which is implemented as part of the integrative course “Iunyi issledovatel” (“Young Researcher”). The course is targeted at formation of environmental knowledge in the field of environment management and protection in students of pedagogical institutions of higher education.
MPEC 2024-K123 : 2017 MD4
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Insights of using Control Theory for minimizing Induced Seismicity in Underground Reservoirs
Creators: name: Gutierrez-Oribio, Diego
name: Stefanou, Ioannis
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: Optimization and Control (math.OC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics

description: Deep Geothermal Energy, Carbon Capture, and Storage and Hydrogen Storage have significant potential to meet the large-scale needs of the energy sector and reduce the CO$_2$ emissions. However, the injection of fluids into the earth's crust, upon which these activities rely, can lead to the formation of new seismogenic faults or the reactivation of existing ones, thereby causing earthquakes. In this study, we propose a novel approach based on control theory to address this issue. First, we obtain a simplified model of induced seismicity due to fluid injections in an underground reservoir using a diffusion equation in three dimensions. Then, we design a robust tracking control approach to force the seismicity rate to follow desired references. In this way, the induced seismicity is minimized while ensuring fluid circulation for the needs of renewable energy production and storage. The designed control guarantees the achievement of the control objectives even in the presence of system uncertainties and unknown dynamics. Finally, we present simulations of a simplified geothermal reservoir under different scenarios of energy demand to show the reliability and performance of the control approach, opening new perspectives for field experiments based on real-time regulators.
Calculation of a food consumption nitrogen footprint for Germany
Creators: name: Klement, Laura
name: Geupel, Markus
name: Bach, Martin
Publisher: name: My University
Year: 2021
Subjects: Landwirtschaft
Nahrungsproduktion

description: Reactive nitrogen (Nr) that is released to the environment has several negative implications for the atmosphere, hydrosphere, biodiversity and human health. A nitrogen (N) footprint is a measure that can help to assess and communicate the impact of personal lifestyle and consumption choices regarding their influences on Nr losses. The N-Calculator tool was developed to estimate this footprint. However, underlying loss factors for the food sector in the N-Calculator rely on data from the US, for which the calculator was originally established. Since the conditions in agriculture and the food industry differ significantly between the US and other countries, and the fact that the food sector is considered the main source of Nr losses in the N-Calculator, a revision of the N-Calculator is required if applied to other countries. Here we present a revised N-Calculator for Germany that is based on German food production data. In this study, virtual nitrogen factors describe the losses of nitrogen in a supply chain. Losses were calculated for 20 plant-based products, 17 feed materials, 18 compound feeds and 14 animal-based products. The N footprint varies considerably between products. While plant-based products amount to a weighted average of 3.4 g N loss per kg product, animal-based products cause significantly higher losses with 40.5 g N loss per kg. Overall, the average N footprint for the German consumer is calculated to be at 9.94 kg per capita and year. To validate the results, the individual categories were scaled up to the national level and then compared with statistical data on N flows in Germany. In general, the results showed good agreement with key production figures and the overall N budget for Germany. Furthermore, some improvements are proposed to increase the informative value and user acceptance of an N-Calculator. © 2021 The Author(s)
The Careers and Skills for Data-Driven Research (CaSDaR) Network+ Empowering Data Stewards for Research Excellence
Creators: name: Pearman-Kanza, Samantha
Publisher: name: Zenodo
Year: 2025
Subjects: subject: data stewards
subject: data
subject: networks
subject: Data Management

description: Presentation by Dr Samantha Pearman-Kanza on "The Careers and Skills for Data-Driven Research (CaSDaR) Network+ Empowering Data Stewards for Research Excellence" for the joint PSDI and Digital Curation Centre Event: Research Data in the Physical Sciences: A Forum for Librarians and Research Support Professionals. 

Abstract: The amount of data generated by research, is growing at an exponential rate. And yet, so much of this data is unusable, due to the lack of expertise, tools, and resources for effective data management. Data Stewards are the key to bridging the gap between data generation and reuse, as they have a fundamental role that ensures the quality, accuracy, accessibility and longevity of data across the entire data lifecycle. We place great value in data, but the current investment in the time and resources to drive forward data excellence is sorely lacking, and best practice like FAIR cannot be implemented without investing in data stewards. So, this is where CaSDaR comes in! We are a brand new Network+, launching in April 2025 and our goal is to establish a diverse, inclusive, self-sustaining community of Data Stewards and to create a model for data steward support systems within research intensive institutions, thereby clarifying their role and integration within the research data lifecycle. This talk will introduce CaSDaR and our plans for the next four years, and explain how you can get involved!
title: Электронная культура молодежи как социальная инновация
Creators: name: Давыдова, Ю. А.
name: Королевский, Е. О.
name: Каргаполов, С. В.
name: Слободский, А. И.
Publisher: name: Реноме
Year: 2019

description: Целью данного исследования является выявление влияния электронной культуры на жизнь современной молодежи. Содержательную основу статьи составляет анализ и оценка отношения молодежи к виртуальному миру. Для этого используются результаты конкретного социологического исследования, целью которого было выявление тех возможностей и рисков, которые предоставляет интернет-пространство в представлении студенческой аудитории. Авторы обращают внимание на то, что респонденты понимают, какие перспективы предоставляет им виртуальный мир и какими рисками он им грозит. В статье сделан вывод о том, что такой феномен, как электронная культура, прочно вошел в жизнь современной молодежи.
Ключевые слова: электронная культура, социальная инновация, интернет-пространство, виртуальное пространство, молодежь.
Sheaves of Measures and KMS-Weights on Topological Graph Algebras
Creators: name: Eidesen, Jonas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Operator Algebras (math.OA)
subject: FOS: Mathematics

description: We show that the collection of regular Borel measures on a second-countable locally compact Hausdorff space has the structure of a sheaf. With this we give an alternate description of the pullback of a regular Borel measure along a local homeomorphism. We are able to use these tools to give a description of the KMS-weights for the gauge-action on the graph C*-algebra of a second-countable topological graph in terms of sub-invariant measures on the vertex space of said topological graph.
description: 25 pages
Failure prediction for water pipes
Creators: name: Dehghan, Azam
Publisher: name: Swinburne
Year: 2024

description: This thesis focuses on predicting the future condition of pipes in water supply networks based on their previous performance using statistical analysis. The contemporary methods developed to solve this problem are reviewed and a number of novel statistical analyses and new probabilistic techniques that enhance the failure prediction accuracy and uncertainty modelling are introduced. When a complete history of water pipes failures is available, the statistical analysis will efficiently provide an accurate formulation of the relationship between failure frequencies and the factors contributing to the overall structural deterioration of the pipes. This result can then be effectively utilised to predict the future failures of the pipes. In practice, however, a complete dataset collected on a regular basis for each pipe of water networks is very costly and not readily available. In such circumstances, more sophisticated statistically derived models are required. In this thesis, a failure history of water mains provided by City West Water PTY LTD (CWW) is studied and analysed as a typical database that is usually available for water supply networks. This database is also used for comprehensive simulation and evaluation purposes. An intelligent statistical reliability model based on artificial neural networks is proposed for reliability estimation of pipes similar in terms of material, diameter, location, etc. Application of this model to the CWW failure dataset shows that it substantially outperforms existing statistical reliability models based on lognormal and Weibull distributions. In the next step, the ensemble of failures of each group of similar pipes (called a pipe class) are studied as a random process and demonstrated to be non-stationary because of the time-varying environmental factors that affect the pipe failure processes. This thesis concludes with suggesting a new non-parametric probabilistic technique developed to capture the non-stationary process of pipe failures despite the lack of information about time-variant factors which is typical of the data available in water distribution systems. The predictions are updated automatically and therefore take the gradual time-variant factors into account. The output of this novel non-parametric auto-updating technique is a confidence interval that represents a range of possible number of failures occurring in a given period of time in the future with a given confidence. The results of evaluation of this method for prediction of failures in the CWW failure database show that, in 95% of the cases, the actual number of failures is within the confidence interval given by the suggested technique.
Sub-0.6 eV Inverted Metamorphic GaInAs Cells Grown on InP and GaAs Substrates for Thermophotovoltaics and Laser Power Conversion
Creators: name: Schulte, Kevin L.
name: Friedman, Daniel J.
name: Dada, Titilope
name: Guthrey, Harvey L.
name: da Costa, Edgard Winter
name: Tervo, Eric J.
name: France, Ryan M.
name: Geisz, John F.
name: Steiner, Myles A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applied Physics (physics.app-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We present inverted metamorphic Ga0.3In0.7As photovoltaic converters with sub-0.60 eV bandgaps grown on InP and GaAs substrates. The compositionally graded buffers in these devices have threading dislocation densities of 1.3x10^6 cm^-2 and 8.9x10^6 cm^-2 on InP and GaAs, respectively. The devices generate open-circuit voltages of 0.386 V and 0.383 V, respectively, at a current density of ~10 A/cm^2, yielding bandgap-voltage offsets of 0.20 and 0.21 V. We measured their broadband reflectance and used it to estimate thermophotovoltaic efficiency. The InP-based cell is estimated to yield 1.09 W/cm^2 at 1100 degrees C vs. 0.92 W/cm^2 for the GaAs-based cell, with efficiencies of 16.8 vs. 9.2%. The efficiencies of both devices are limited by sub-bandgap absorption, with power weighted sub-bandgap reflectances of 81% and 58%, respectively, which we assess largely occurs in the graded buffers. We estimate that the thermophotovoltaic efficiencies would peak at ~1100 degrees C at 24.0% and 20.7% in structures with the graded buffer removed, if previously demonstrated reflectance is achieved. These devices also have application to laser power conversion in the 2.0-2.3 micron atmospheric window. We estimate peak LPC efficiencies of 36.8% and 32.5% under 2.0 micron irradiances of 1.86 W/cm^2 and 2.81 W/cm^2, respectively.
description: 14 pages, 6 figures
A Minkowski Functional Analysis of the Cosmic Microwave Background Weak Lensing Convergence
Creators: name: Hamann, Jan
name: Kang, Yuqi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Minkowski functionals are summary statistics that capture the geometric and morphological properties of fields. They are sensitive to all higher order correlations of the fields and can be used to complement more conventional statistics, such as the power spectrum of the field. We develop a Minkowski functional-based approach for a full likelihood analysis of mildly non-Gaussian sky maps with partial sky coverage. Applying this to the inference of cosmological parameters from the Planck mission's map of the Cosmic Microwave Background's lensing convergence, we find an excellent agreement with results from the power spectrum-based lensing likelihood. While the non-Gaussianity of current CMB lensing maps is dominated by reconstruction noise, a Minkowski functional-based analysis may be able to extract cosmological information from the non-Gaussianity of future lensing maps and thus go beyond what is accessible with a power spectrum-based analysis. We make the numerical code for the calculation of a map's Minkowski functionals, skewness and kurtosis parameters available for download from GitHub.
description: 23 pages, 15 figures
Barsine Walker 1854
Creators: name: Bolotov, Ivan N.
name: Spitsyn, Vitaly M.
name: Kondakov, Alexander V.
name: Tomilova, Alena A.
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Erebidae
Barsine

description: Genus Barsine Walker, 1854
 Type species: Barsine defecta Walker, 1854
description: Published as part of Bolotov, Ivan N., Spitsyn, Vitaly M., Kondakov, Alexander V. & Tomilova, Alena A., 2019, A review of Barsine (Lepidoptera: Erebidae: Arctiinae: Lithosiini) from the East Nusa Tenggara Islands, Indonesia, with description of a new genus, pp. 207-214 in Ecologica Montenegrina 20 on page 209, DOI: 10.37828/em.2019.20.17, http://zenodo.org/record/13361779
Convolution finite element based digital image correlation for displacement and strain measurements
Creators: name: Lu, Ye
name: Zhu, Weidong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Numerical Analysis (math.NA)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: This work presents a novel global digital image correlation (DIC) method, based on a newly developed convolution finite element (C-FE) approximation. The convolution approximation can rely on the mesh of linear finite elements and enables arbitrarily high order approximations without adding more degrees of freedom. Therefore, the C-FE based DIC can be more accurate than {the} usual FE based DIC by providing highly smooth and accurate displacement and strain results with the same element size. The detailed formulation and implementation of the method have been discussed in this work. The controlling parameters in the method include the polynomial order, patch size, and dilation. A general choice of the parameters and their potential adaptivity have been discussed. The proposed DIC method has been tested by several representative examples, including the DIC challenge 2.0 benchmark problems, with comparison to the usual FE based DIC. C-FE outperformed FE in all the DIC results for the tested examples. This work demonstrates the potential of C-FE and opens a new avenue to enable highly smooth, accurate, and robust DIC analysis for full-field displacement and strain measurements.
山奥SEO実験レポート：ニッチキーワード戦略の実践と考察.pdf
Creators: name: Kashiwazaki, Tsuyoshi
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 460508
subject: Information retrieval and web search

description: 本論文は「山奥SEO」と呼ばれるニッチなキーワードをターゲットとしたSEO戦略の実験結果をまとめたものです。SNSを活用して検索需要を意図的に創出し、検索結果ページを競争的な「ランキングボード」として機能させることで、多数の他社サイトが自発的に関連コンテンツを生成・公開しました。その結果、当初ほぼ検索需要がゼロだったキーワード「山奥SEO」が月間1,000クリック、10,000インプレッション規模に急成長し、Google検索結果で1位を獲得、さらには生成AIからも一次情報として認識されるに至ったプロセスと成果を詳細に記録・分析しています。
Controls of Atmospheric Methane on Early Earth and Inhabited Earth-like Terrestrial Exoplanets
Creators: name: Akahori, Aika
name: Watanabe, Yasuto
name: Tajika, Eiichi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Methane (CH4) is a primarily biogenic greenhouse gas. As such, it represents an essential biosignature to search for life on exoplanets. Atmospheric CH4 abundance on Earth-like inhabited exoplanets is likely controlled by marine biogenic production and atmospheric photochemical consumption. Such interactions have been previously examined for the case of the early Earth where primitive marine ecosystems supplied CH4 to the atmosphere, showing that the atmospheric CH4 response to biogenic CH4 flux variations is nonlinear, a critical property when assessing CH4 reliability as a biosignature. However, the contributions of atmospheric photochemistry, metabolic reactions, or solar irradiance to this nonlinear response are not well understood. Using an atmospheric photochemical model and a marine microbial ecosystem model, we show that production of hydroxyl radicals from water vapor photodissociation is a critical factor controlling the atmospheric CH4 abundance. Consequently, atmospheric CH4 partial pressure (pCH4) on inhabited Earth-like exoplanets orbiting Sun-like stars (F-, G-, and K-type stars) would be controlled primarily by stellar irradiance. Specifically, irradiance at wavelengths of approximately 200-210 nm is a major controlling factor for atmospheric pCH4 when the carbon dioxide partial pressure is sufficiently high to absorb most stellar irradiance at 170-200 nm. Finally, we also demonstrated that inhabited exoplanets orbiting near the outer edge of K-type stars' habitable zones are better suited for atmospheric pCH4 buildup. Such properties will valuably support future detection of life signatures.
Albarrania Bolotov, Spitsyn & Kondakov 2019, gen. nov.
Creators: name: Bolotov, Ivan N.
name: Spitsyn, Vitaly M.
name: Kondakov, Alexander V.
name: Tomilova, Alena A.
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Erebidae
Albarrania

description: Genus Albarrania Bolotov, Spitsyn & Kondakov gen. nov.
 Type species: Barsine podbolotskayae Spitsyn & Bolotov, 2018
 Etymology. This genus is named in honor of Mr. Mikel Albarran Valle, an enthusiastic amateur naturalist, who lives on Flores Island.
 Diagnosis. The primary autapomorphic features of this novel genus are in the male genitalia structure: a dorsally directed, robust, spine-like central costal process of the valve and a bundle of dorsally directed, long setae proximal to it (vs lack of such features in Barsine).
 Distribution. West Flores.
description: Published as part of Bolotov, Ivan N., Spitsyn, Vitaly M., Kondakov, Alexander V. & Tomilova, Alena A., 2019, A review of Barsine (Lepidoptera: Erebidae: Arctiinae: Lithosiini) from the East Nusa Tenggara Islands, Indonesia, with description of a new genus, pp. 207-214 in Ecologica Montenegrina 20 on page 213, DOI: 10.37828/em.2019.20.17, http://zenodo.org/record/13361779
Estimation of the chances to find new phenomena at the LHC in a model-agnostic combinatorial analysis
Creators: name: Chekanov, S. V.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this paper, we estimate the number of event topologies that have the potential to be produced in $pp$ collisions at the Large Hadron Collider (LHC) without violating kinematic and other constraints. We use numerical calculations and combinatorics, guided by large-scale Monte Carlo simulations of Standard Model (SM) processes. Then, we set the upper limit on the probability that new physics may escape detection, assuming a model-agnostic approach. The calculated probability is unexpectedly large, and the fact that the LHC has not found new physics until now is not entirely surprising. We argue that the optimal direction for maximizing the chances of finding new physics is to use unsupervised machine learning for anomaly detection or algorithms designed for event classification.
description: 13 pages,1 figure, submitted to a journal
Rural Food and Wine Tourism in Canada’s South Okanagan Valley: Transformations for Food Sovereignty?
Creators: name: Robinson, Danielle
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2021

description: This interdisciplinary research analyses the relationships between food sovereignty principles and food and wine tourism in rural contexts by asking how rural tourism stakeholders understand these concepts, mobilize the interrelationships, and to what purpose. Wine and food tourism is one of the fastest-growing rural tourism niches, with effects on the orientation of food systems, the livelihoods of producers, the viability of rural communities, and the biophysical environment. Secondary research and semi-structured interviews provide insights into how qualities of food sovereignty transitions are conceptualized, recognized, developed, supported, and promoted in the case of British Columbia’s South Okanagan Valley. An appreciative approach was used because this research aims to understand rural food and wine tourism’s potential contribution to food sovereignty. Although the term ‘food sovereignty’ did not resonate for most participants, qualities of a transition towards food sovereignty such as reorienting agriculture, food processing and consumption to the local region, supporting rural economies and environmental sustainability were considered integral to rural food tourism. Participants saw future opportunities for rural food and wine tourism to serve broader transformative purposes that would benefit locals, visitors, and the environment. Research results could be used to inspire critical academic, community and policy dialogue about food sovereignty in wine and food tourism destinations.