cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Dark Side: Seneca and Shakespeare
Creators: name: Miola, Robert S.
Publisher: name: Memoria di Shakespeare. A Journal of Shakespearean Studies
Year: 2023

description: Seneca conducted Shakespeare on a journey through the dark side of human life – rage, madness, tyranny, revenge, and furor. This journey passed through infernal and nightmarish landscapes, per Stygia (“through Stygian regions”), per amnes igneos (“through rivers of fire”), and per scelera (“through crimes”). It introduced protagonists who dare to defy the gods and dislocate the universe by committing evils without precedent and beyond limit (modus). This experience of the dark side furnished Shakespeare (and most of the West) with resources for drama, especially tragedies like Titus Andronicus, Macbeth, Hamlet, Richard III, and Othello. We shall explore Shakespeare’s reception of these resources through three distinct but related modalities – quotation with and without Latin markers; the reimagination of extended passages, characters, and actions; and the refiguration of a convention, the domina-nutrix dialogue.
description: Memoria di Shakespeare. A Journal of Shakespearean Studies, Vol. 10 (2023): What's Seneca to Him? Senecan Shakespeare
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease
Creators: name: Mirabnahrazam, Ghazal
name: Ma, Da
name: Lee, Sieun
name: Popuri, Karteek
name: Lee, Hyunwoo
name: Cao, Jiguo
name: Wang, Lei
name: Galvin, James E
name: Beg, Mirza Faisal
name: Initiative, the Alzheimer's Disease Neuroimaging
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Image and Video Processing (eess.IV)
subject: Genomics (q-bio.GN)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Biological sciences

description: Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better understand the characteristics of dementia of Alzheimer's type (DAT). Objective: The goal of this study was to develop and analyze novel biomarkers that can help predict the development and progression of DAT. Methods: We used feature selection and ensemble learning classifier to develop an image/genotype-based DAT score that represents a subject's likelihood of developing DAT in the future. Three feature types were used: MRI only, genetic only, and combined multimodal data. We used a novel data stratification method to better represent different stages of DAT. Using a pre-defined 0.5 threshold on DAT scores, we predicted whether or not a subject would develop DAT in the future. Results: Our results on Alzheimer's Disease Neuroimaging Initiative (ADNI) database showed that dementia scores using genetic data could better predict future DAT progression for currently normal control subjects (Accuracy=0.857) compared to MRI (Accuracy=0.143), while MRI can better characterize subjects with stable mild cognitive impairment (Accuracy=0.614) compared to genetics (Accuracy=0.356). Combining MRI and genetic data showed improved classification performance in the remaining stratified groups. Conclusion: MRI and genetic data can contribute to DAT prediction in different ways. MRI data reflects anatomical changes in the brain, while genetic data can detect the risk of DAT progression prior to the symptomatic onset. Combining information from multimodal data in the right way can improve prediction performance.
Seneca Improved: Shakespeare’s Medieval Optimism
Creators: name: Gray, Patrick
Publisher: name: Memoria di Shakespeare. A Journal of Shakespearean Studies
Year: 2023

description: Seneca’s tragedies are tantamount to anti-theodicies, featuring vicious cycles of violence that seem impossible to forestall, enacted by protagonists and antagonists at the mercy of forces beyond their control. Some critics such as Jan Kott try to align Shakespeare with this perspective. In Shakespeare’s plays, however, Senecan pessimism is relatively limited and almost always framed within the opposing conventions of vernacular Christian drama. Expressions of nihilism tend to be undercut by dramatic irony. Shakespeare’s distinctiveness in this regard is more apparent if we compare him to Marlowe, as well as later figures such as Webster. Senecan pessimism takes on new life for these early modern English playwrights as a classical analogue of the despair and abandonment they feel in response to Calvinism, which presents God as pitiless and inscrutable. Shakespeare, by contrast, hews more closely to an older and more optimistic vision of divine justice. Revengers and overreachers are not exultant at the end but instead defeated, deflated, and demoralized, like the Antichrists and Lucifers of medieval cycle plays. Characters have some degree of moral agency, like the protagonists of morality plays. They are offered opportunities for repentance, even if they do not always choose to change their ways. Providence provides quasi-miraculous resolutions. I focus here on Shakespeare’s four main tragedies, Hamlet, Macbeth, Othello, and King Lear, as well as his rewriting of key elements of these tragedies in his later tragicomedies: Ophelia as the Jailer’s daughter in The Two Noble Kinsmen, Cordelia as Marina in Pericles, and Othello as Leontes in The Winter’s Tale, as well as Posthumus Leonatus in Cymbeline. Shakespeare’s medieval optimism, already apparent in his earlier tragedies, becomes more pronounced over the course of his career. While his contemporaries became more Neo-Senecan, Shakespeare instead doubled down on his lifelong indebtedness to medieval Christian drama and romance.
description: Memoria di Shakespeare. A Journal of Shakespearean Studies, Vol. 10 (2023): What's Seneca to Him? Senecan Shakespeare
Identification of a characteristic antioxidant, anthrasesamone F, in black sesame seeds and its accumulation at different seed developmental stages
Creators: name: Furumoto, Toshio
name: Nishimoto, Kiyoshi
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Developmental Biology
subject: Biological Sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Evolutionary Biology
subject: Molecular Biology
subject: Engineering

description: Assay-guided fractionation of the methanol extract from black seeds of sesame (Sesamum indicum L.) led to the isolation of an active compound that had a 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity. This antioxidant was confirmed to be anthrasesamone F, an anthraquinone derivative previously isolated from different black sesame seeds and biogenetically related to other anthrasesamones in sesame roots. The radical scavenging assay showed that anthrasesamone F had more potent activity than Trolox. The content of anthrasesamone F in different parts and at different developmental stages of black sesame seeds was investigated to clarify the accumulation pattern of this antioxidant in the black seeds. Anthrasesamone F was localized in the seed coat of black seeds and accumulated after the seed coat color changed to black. The content of anthrasesamone F increased gradually with seed maturation and drastically on air-drying, the final stage in sesame cultivation.
Radiotherapy quality assurance of the IAEA-HypoX trial of the accelerated radiotherapy in the treatment of head and neck squamous cell carcinoma with or without the hypoxic radiosensitizer nimorazole
Creators: name: Metwally, Mohamed A. Hassan
name: Ali, Rubina
name: Kuddu, Maire
name: Shouman, Tarek
name: Primoz Strojan
name: Overgaard, Jens
name: Grau, Cai
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Cancer
subject: Marine Biology
subject: Mathematics
subject: FOS: Mathematics
subject: Physiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Cell Biology
subject: Biochemistry
subject: Biophysics

description: Radiotherapy quality assurance of the IAEA-HypoX trial of the accelerated radiotherapy in the treatment of head and neck squamous cell carcinoma with or without the hypoxic radiosensitizer nimorazole
Return probability of quantum and correlated random walks
Creators: name: Kiumi, Chusei
name: Konno, Norio
name: Tamura, Shunya
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mathematical Physics (math-ph)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: The analysis of the return probability is one of the most essential and fundamental topics in the study of classical random walks. In this paper, we study the return probability of quantum and correlated random walks in the one-dimensional integer lattice by the path counting method. We show that the return probability of both quantum and correlated random walks can be expressed in terms of the Legendre polynomial. Moreover, the generating function of the return probability can be written in terms of elliptic integrals of the first and second kinds for the quantum walk.
description: 15pages
Energy and Environmental Policy Trends: Owed Landowners: The Status of Orphan Well Rental Recovery in Alberta
Creators: name: Goodday, Victoria
name: Larson, Braeden
Publisher: name: The School of Public Policy Publications
Year: 2020

description: As more wells are orphaned, more landowners are applying to have the government pay the rental payments owed to them. The application backlog is growing, along with the cost to taxpayers.
description: The School of Public Policy Publications, Vol 13 (2020)
Autonomous Quantum Error Correction in a Four-Photon Kerr Parametric Oscillator
Creators: name: Kwon, Sangil
name: Watabe, Shohei
name: Tsai, Jaw-Shen
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Autonomous quantum error correction has gained considerable attention to avoid complicated measurements and feedback. Despite its simplicity compared with the conventional measurement-based quantum error correction, it is still a far from practical technique because of significant hardware overhead. We propose an autonomous quantum error correction scheme for a rotational symmetric bosonic code in a four-photon Kerr parametric oscillator. Our scheme is the simplest possible error correction scheme that can surpass the break-even point -- it requires only a single continuous microwave tone. We also introduce an unconditional reset scheme that requires one more continuous microwave tone in addition to that for the error correction. The key properties underlying this simplicity are protected quasienergy states of a four-photon Kerr parametric oscillator and the degeneracy in its quasienergy level structure. These properties eliminate the need for state-by-state correction in the Fock basis. Our schemes greatly reduce the complexity of autonomous quantum error correction and thus may accelerate the use of the bosonic code for practical quantum computation.
description: This work will be published in npj Quantum Information
Socio-economic benefit review report: Health sector
Creators: name: South African Weather Service
Publisher: name: Zenodo
Year: 2021
Subjects: Climate services
South Africa
Health

description: Weather and climate information are an essential part of people’s daily lives informing and affecting many social and economic activities. The interaction between humans and their natural environment is consistently being threatened by climate change affecting key development aspirations for good human health, food security, safe and accessible water and secure shelter.

The provision of weather and climate information to the health sector can support human and natural systems to prepare for and manage weather-related events that affect human, ecological and animal health. South Africa has challenges with poverty, inequality and unemployment which are likely to be exacerbated by climate change whilst also increasing the burden of disease hence it is essential for National Meteorological and Hydrological Services (NMHS) such as the South African Weather Service (SAWS) to provide weather and climate information to reduce the burden of disease including the implementation of the National Health Insurance.

Products and information selected by respondents to be the most useful for their work in the health sector were daily and seasonal forecasts, historical records, Ultra-Violet (UV) forecast, air quality information, Integrated Relative Health Risk tool, malaria prediction, heat stress, Discomfort Index Forecast, Early Warning Information and climate change projections. The report also highlights key areas that stakeholders in the health sector require support which include; the need for SAWS to be more visible to stakeholders in the health sector community practitioners and medical practitioners; make information available at the district level so that stakeholders can use it to monitor disease outbreaks and pests related to weather; provide training on how to use the weather updates effectively in our planning and preparedness for disaster management; improve the quality of data air monitoring data and; start working on retrospective data on malaria trends, and retrospective weather data.
3D Path Following and L1 Adaptive Control for Underwater Vehicles
Creators: name: Rober, Nicholas
name: Hammond, Maxwell
name: Cichella, Venanzio
name: Martin, Juan E.
name: Carrica, Pablo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper addresses the problem of guidance and control of underwater vehicles. A multi-level control strategy is used to determine (1) outer-loop path-following commands and (2) inner-loop actuation commands. Specifically, a line-of-sight path-following algorithm is used to guide the vehicle along a three-dimensional path, and an $\mathcal{L}_1$ adaptive control algorithm is used to determine the low-level rudder commands to accomplish path following. The performance bounds of these outer- and inner-loop control algorithms are presented. Numerical results obtained using a physics-based Simulink model are used to aid in visualization of the control algorithm's performance.
MPEC 2024-U272 : 2024 UA11
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
subject: 2024 UA11

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.
The Use of Genetically Engineered Dicamba-Tolerant Soybean Seeds Has Increased Quickly, Benefiting Adopters but Damaging Crops in Some Fields
Creators: name: Wechsler, Seth J.
name: Smith, David
name: McFadden, Jonathan
name: Dodson, Laura
name: Williamson, Sam
name: Wechsler, Seth J.
name: Smith, David
name: McFadden, Jonathan
name: Dodson, Laura
name: Williamson, Sam
Publisher: name: Unknown
Year: 2019
Subjects: subject: Agricultural and Food Policy
subject: Crop Production/Industries
subject: Farm Management
subject: Production Economics
subject: Research and Development/Tech Change/Emerging Technologies
subject: soybeans
subject: oil crops
subject: glyphosate
subject: herbicide

description: Glyphosate is a broad-spectrum herbicide that kills most broad-leaf weeds and grasses. Genetically engineered glyphosate-tolerant soybeans were commercialized in 1996, and acres planted with glyphosate-tolerant soybeans and glyphosate use increased rapidly in the years that followed. By 2006, almost 9 out of every 10 soybean acres were planted with glyphosate-tolerant seeds. Glyphosate-tolerant weeds were identified in the majority of soybean-producing States by 2018. Herbicides other than glyphosate, such as dicamba, can help control these weeds. In 2018, about 43 percent of U.S. soybean acreage was planted with dicamba-tolerant seeds.
Efficient Linear Attention for Fast and Accurate Keypoint Matching
Creators: name: Suwanwimolkul, Suwichaya
name: Komorita, Satoshi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences
subject: I.4; I.5

description: Recently Transformers have provided state-of-the-art performance in sparse matching, crucial to realize high-performance 3D vision applications. Yet, these Transformers lack efficiency due to the quadratic computational complexity of their attention mechanism. To solve this problem, we employ an efficient linear attention for the linear computational complexity. Then, we propose a new attentional aggregation that achieves high accuracy by aggregating both the global and local information from sparse keypoints. To further improve the efficiency, we propose the joint learning of feature matching and description. Our learning enables simpler and faster matching than Sinkhorn, often used in matching the learned descriptors from Transformers. Our method achieves competitive performance with only 0.84M learnable parameters against the bigger SOTAs, SuperGlue (12M parameters) and SGMNet (30M parameters), on three benchmarks, HPatch, ETH, and Aachen Day-Night.
description: To be published in ACM ICMR 2022
IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G
Creators: name: Khowaja, Sunder Ali
name: Dev, Kapal
name: Khuwaja, Parus
name: Pham, Quoc-Viet
name: Qureshi, Nawab Muhammad Faseeh
name: Bellavista, Paolo
name: Magarini, Maurizio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble detection is performed to maintain communication and synchronization between devices of the Internet of Everything (IoE) and next-generation nodes. Considering the scalability and traffic density, Next-G networks have to deal with preambles corrupted by noise due to channel characteristics or environmental constraints. We show that when injecting 15% random noise, the detection performance degrades to 48%. We propose an informative instance-based fusion network (IIFNet) to cope with random noise and to improve detection performance, simultaneously. A novel sampling strategy for selecting informative instances from feature spaces has also been explored to improve detection performance. The proposed IIFNet is tested on a real dataset for preamble detection that was collected with the help of a reputable commercial company.
description: 7 pages, 3 figures, 2 tables, Accepted Article
Cyclooxygenase-2 inhibitor prevents radiation-enhanced infiltration of F98 glioma cells in brain of Fischer rat
Creators: name: Desmarais, Guillaume
name: Charest, Gabriel
name: Fortin, David
name: Bujold, Rachel
name: Mathieu, David
name: Benoit Paquette
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Cancer
subject: Developmental Biology
subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Pharmacology
subject: Cell Biology
subject: Biochemistry
subject: Biophysics

description: Purpose: Radiation induces a neuro-inflammation that is characterized by the expression of genes known to increase the invasion of cancer cells. In Fischer rats, brain irradiation increases the infiltration of cancer cells and reduced the median survival of the animals. In this study, we have determined whether these adverse effects of radiation can be prevented with the cyclooxygenase-2 (COX-2) inhibitor meloxicam.Materials and methods: Brain of Fischer rats treated or not with meloxicam were irradiated (15 Gy) and then implanted with the F98 glioma cells. The median survival of the animals, the infiltration of F98 cells, and the expression of inflammatory cytokines and pro-migration molecules were measured.Results: Meloxicam reduced by 75% the production of prostaglandin E2 (bioproduct of COX-2) in irradiated brains validating its anti-inflammatory effect. Median survival was increased to control levels by the treatment of meloxicam following brain irradiation. This protective effect was associated with a reduction of the infiltration of F98 cells in the brain, a complete inhibition of radiation-enhancement of matrix metalloproteinase-2, and a significant reduction of tumor necrosis factor α (TNF-α) and tumor growth factor β1 (TGF-β1) expression. Using invasion chambers, interleukin-1β (IL-1β) stimulated by 5-fold the invasiveness of F98 cells, but this stimulation was completely inhibited by meloxicam. This suggests that a cooperation between IL-1β and COX-2 are involved in radiation-enhancement of F98 cell invasion.Conclusions: Our results indicate the importance of reducing the inflammatory response of normal brain tissue following irradiation in an effort to extend median survival in F98 tumor-bearing rats.
Expert-Calibrated Learning for Online Optimization with Switching Costs
Creators: name: Li, Pengfei
name: Yang, Jianyi
name: Ren, Shaolei
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: We study online convex optimization with switching costs, a practically important but also extremely challenging problem due to the lack of complete offline information. By tapping into the power of machine learning (ML) based optimizers, ML-augmented online algorithms (also referred to as expert calibration in this paper) have been emerging as state of the art, with provable worst-case performance guarantees. Nonetheless, by using the standard practice of training an ML model as a standalone optimizer and plugging it into an ML-augmented algorithm, the average cost performance can be highly unsatisfactory. In order to address the "how to learn" challenge, we propose EC-L2O (expert-calibrated learning to optimize), which trains an ML-based optimizer by explicitly taking into account the downstream expert calibrator. To accomplish this, we propose a new differentiable expert calibrator that generalizes regularized online balanced descent and offers a provably better competitive ratio than pure ML predictions when the prediction error is large. For training, our loss function is a weighted sum of two different losses -- one minimizing the average ML prediction error for better robustness, and the other one minimizing the post-calibration average cost. We also provide theoretical analysis for EC-L2O, highlighting that expert calibration can be even beneficial for the average cost performance and that the high-percentile tail ratio of the cost achieved by EC-L2O to that of the offline optimal oracle (i.e., tail cost ratio) can be bounded. Finally, we test EC-L2O by running simulations for sustainable datacenter demand response. Our results demonstrate that EC-L2O can empirically achieve a lower average cost as well as a lower competitive ratio than the existing baseline algorithms.
description: Pengfei Li and Jianyi Yang contributed equally. This paper has been accepted by and will be presented at the ACM SIGMETRICS/IFIP Performance 2022
Socio-economic benefit review report: Water sector
Creators: name: South African Weather Service
Publisher: name: Zenodo
Year: 2020
Subjects: Climate services
South Africa
Water

description: Water is one of the key sectors that support human and ecological life as well as socioeconomic development. However, studies show that based on the current population and economic growth some parts of South Africa will have a "water gap" because the supply will not be sufficient to meet the demand. This is likely to be exacerbated by the projected changes in climate which include increased rainfall variability and drying trends in some catchments. Managing water scarcity is a challenge but it also provides opportunities for investment in the sector in for example water efficient technologies, alternative water systems and reuse and alternative water treatment systems.

With the risk of water scarcity weather and climate, services play a key role in supporting planning and decision-making for the various actors in the water sector. The South African Weather Service (SAWS) has a wide range of products and services that can support this which may need to be enhanced to meet the growing needs of the country and its citizens to reduce the probability of water insecurity. To achieve this, the organization has to evaluate the quality and benefits of all weather and climate products and services provided to the water sector including stakeholders in the public and private sectors. This report provides preliminary findings on the socioeconomic benefit study for the water sector. The outcome of this study will be utilised for service improvements, including making better decisions on funds and resource allocation, for better fulfilment of the SAWS’ central mission and roles by providing South African weather-related solutions for everyone, every day.
Performance Measurement of Security Academic Information System using Maturity Level
Creators: name: Kurniawan, Endang
name: Riadi, Imam
name: Irmawan, Amin
name: Arusani
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: This study aims to information security in academic information systems to provide recommendations for improvements in information security management by the expected maturity level based on ISO/IEC 27002:2013. By using a qualitative descriptive approach, data collection and validation techniques with triangulation techniques are interviews, observation, and documentation. The data were analyzed by using gap analysis and to measure the maturity level determined 15 objective control and 45 security controls scattered in 5 clauses, the result of the research found that the performance of academic information system maturity level at level 2. That is, the current level of maturity is below the expected maturity level, so it needs to be increased to the expected level.
Non-binary Narratives of Self: Navigating Gender Identity in Australia
Creators: name: Zwickl, Sav
Publisher: name: La Trobe
Year: 2022
Subjects: classificationCode: 440599
subject: Gender studies not elsewhere classified

description: A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy, Gender, Sexuality and Diversity Studies, School of Humanities and Social Sciences, La Trobe University, Victoria, Australia.
3D hydrodynamic simulations for the formation of the Local Group satellite planes
Creators: name: Banik, Indranil
name: Thies, Ingo
name: Truelove, Roy
name: Candlish, Graeme
name: Famaey, Benoit
name: Pawlowski, Marcel S.
name: Ibata, Rodrigo
name: Kroupa, Pavel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The existence of mutually correlated thin and rotating planes of satellite galaxies around both the Milky Way (MW) and Andromeda (M31) calls for an explanation. Previous work in Milgromian dynamics (MOND) indicated that a past MW-M31 encounter might have led to the formation of these satellite planes. We perform the first-ever hydrodynamical MOND simulation of the Local Group using Phantom of RAMSES. We show that an MW-M31 encounter at $z \approx 1$, with a perigalactic distance of about 80 kpc, can yield two disc galaxies at $z=0$ oriented similarly to the observed galactic discs and separated similarly to the observed M31 distance. Importantly, the tidal debris are distributed in phase space similarly to the observed MW and M31 satellite planes, with the correct preferred orbital pole for both. The MW-M31 orbital geometry is consistent with the presently observed M31 proper motion despite this not being considered as a constraint when exploring the parameter space. The mass of the tidal debris around the MW and M31 at $z=0$ compare well with the mass observed in their satellite systems. The remnant discs of the two galaxies have realistic radial scale lengths and velocity dispersions, and the simulation naturally produces a much hotter stellar disc in M31 than in the MW. However, reconciling this scenario with the ages of stellar populations in satellite galaxies would require that a higher fraction of stars previously formed in the outskirts of the progenitors ended up within the tidal debris, or that the MW-M31 interaction occurred at $z>1$.
description: 33 pages, 18 figures, 10 tables. Published in the Monthly Notices of the Royal Astronomical Society in this form
Inferring pathways leading to organic-sulfur mineralization in the Bacillales
Creators: name: Santana, Margarida M.
name: Gonzalez, Juan M.
name: Clara, Maria I.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified

description: Microbial organic sulfur mineralization to sulfate in terrestrial systems is poorly understood. The process is often missing in published sulfur cycle models. Studies on microbial sulfur cycling have been mostly centered on transformations of inorganic sulfur, mainly on sulfate-reducing and inorganic sulfur-oxidizing bacteria. Nevertheless, organic sulfur constitutes most sulfur in soils. Recent reports demonstrate that the mobilization of organic-bound-sulfur as sulfate in terrestrial environments occurs preferentially under high temperatures and thermophilic Firmicutes bacteria play a major role in the process, carrying out dissimilative organic-sulfur oxidation. So far, the determinant metabolic reactions of such activity have not been evaluated. Here, in silico analysis was performed on the genomes of sulfate-producing thermophilic genera and mesophilic low-sulfate producers, revealing that highest sulfate production is related to the simultaneous presence of metabolic pathways leading to sulfite synthesis, similar to the ones found in mammalian cells. Those pathways include reverse transsulfuration reactions (tightly associated with methionine cycling), and the presence of aspartate aminotransferases (ATs) with the potential of 3-sulfinoalanine AT and cysteine AT activity, which ultimately leads to sulfite production. Sulfite is oxidized to sulfate by sulfite oxidase, this enzyme is determinant in sulfate synthesis, and it is absent in many mesophiles.
Pseudorapidity dependence of the $p_T$ spectra of charged hadrons in $pp$ collisions at $\sqrt{s}$ = 0.9 and 2.36 TeV
Creators: name: Yang, Pei-Pin
name: Ajaz, Muhammad
name: Waqas, Muhammad
name: Liu, Fu-Hu
name: Suleymanov, Mais K.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We report the predictions of different Monte Carlo event generators including HIJING, Pythia, and QGSJETII in comparison with the experimental data measured by the CMS Collaboration at CERN in proton-proton ($pp$) collisions at center-of-mass energy $\sqrt{s}$ = 0.9 and 2.36 TeV. The CMS experimental transverse momentum ($p_T$ or $p_{\perp}$) spectra of charged hadrons were measured for pseudorapidity range 0 $\le$ $η$ $\le$ 2.4 with bin width of $η$ = 0.2 (for $p_T$ from 0.1 to 2 GeV/$c$) and a single bin of $η$ for $\lvert$$η$$\rvert$ $
description: 18 pages, 7 figures, 4 tables
Non-binary Narratives of Self: Navigating Gender Identity in Australia
Creators: name: Zwickl, Savannah
Publisher: name: La Trobe
Year: 2022
Subjects: classificationCode: 440599
subject: Gender studies not elsewhere classified

description: A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy, Gender, Sexuality and Diversity Studies, School of Humanities and Social Sciences, La Trobe University, Victoria, Australia.
title: Catalogus Realis. VI. Historische Hilfswissenschaften. VId : Chronologie. VIe : Diplomatik. VIf : Numismatik. VIg : Genealogie.
Creators: name: Philipps-Universität Marburg
Publisher: name: Philipps-Universität Marburg
Year: 2020
Subjects: Library and information sciences
Bibliotheks- und Informationswissenschaft
Hassiaca
Systematischer Katalog

description: Elektronische Reproduktion von: Catalogus Realis. VI. Historische Hilfswissenschaften. VId : Chronologie. VIe : Diplomatik. VIf : Numismatik. VIg : Genealogie. - Stand: Dezember 2019. - Standort: Universität Marburg, Universitätsbibliothek. - Signatur: Sonderlesesaal. - Bemerkungen: Der Katalog verzeichnet in systematisch-sachlicher Ordnung den Bestand der Universitätsbibliothek Marburg von den Anfängen bis 1957. Später erworbene ältere Literatur ist hier nicht verzeichnet. Mit Hilfe dieses Katalogs ist die Suche nach Literatur zu bestimmten Inhalten und Themen möglich. – Zur Systematik: Die Signaturen der einzelnen Bücher und Zeitschriften geben die Ordnung des Bestands wieder. Alle Signaturen beginnen mit einer römischen Zahl von I (1) bis XX (20), die das jeweilige Fach (Theologie, Geschichte, Medizin usw.) bezeichnet. Die weitere Untergliederung ergibt sich aus den nachfolgenden Kleinbuchstaben und arabischen Zahlen. Beispiel: XVIa A 117. Die Großbuchstaben A, B und C sind nicht Teil der Systematik, sondern bezeichnen das Format der betreffenden Bände: A = Folio (großformatige Bände), B = Quart (mittelgroße Bände), C = Oktav (kleinformatige Bände). - Digitalisiert 2020
description: VI d. Chronologie 15 - A 93 – 114 14 - B 196 – 208t 30 26 - C 971 – 981c 46 42 VI e. Diplomatik 68 - A 115 – 120 72 68 - B 208u – 227 88 84 - C 981d – 984 106 102 VI f. Numismatik 135 - A 121 – 136 135 - B 228 – 296 146 142 - C 985 – 1009 214 210 VI g. Genealogie 255 - Alphabetisch geordnetes Repertorium. Genealogie, vorkommende Geschlechter. 255 - A 137 – 200 287 283 - B 297 – 330 324 320 - C 1010 – 1052 364
Reliable data delivery in ICN-IoT environments
Creators: name: Borgia, Eleonora
name: Bruno, Raffaele
name: Passarella, Andrea
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: In an IoT environment, which is characterized by a multitude of interconnected smart devices with sensing and computational capabilities, many applications are (i) content-based, that is, they are only interested in finding a given type of content rather than the location of data, and (ii) contextualized, that is, the content is generated and consumed in the proximity of the user. In this context, the Information-Centric Networking (ICN) paradigm is an appealing model for efficiently retrieving application data, and the service decentralization towards the network edge helps to reduce the core network load being the data produced by IoT devices mainly confined in the area where they are generated. MobCCN is an ICN-based data delivery protocol that we designed for operating efficiently in such context [1][2], where static and mobile IoT devices are enriched with ICN functions. Specifically, MobCCN leverages an efficient routing and forwarding protocol, exploiting opportunistic contacts among IoT mobile devices, to fill the Forwarding Interest Base (FIB) tables so as to correctly forward Interest packets towards the intended data producers. In this paper, we aim to enhance the reliability of MobCCN by exploring different retransmissions mechanisms, such as retransmissions based on number of duplicate Interests that are received for the same requested content, periodic retransmissions, single path versus disjoint multi-path forwarding, hysteresis mechanism and combinations of them. Extensive simulation results show that, among the analysed MobCCN variants, the one that implements both periodic retransmissions and a hysteresis-based retransmission process ensures the highest delivery rates (up to 95\%) and the shortest network path, with a very limited traffic overhead due to retransmissions.
description: This work is partly funded by EC under the H2020 INFRADEV-2019-3 SLICES-DS (951850), the H2020 INFRAIA-02-2020 SLICES-SC (101008468) and the H2020 ICT-2020-1 MARVEL (957337) projects
Measuring the Burden of Global Foodborne Disease From Animal and Fish Sources
Creators: name: Hoffmann, Sandra
name: Havelaar, Arie
name: Hoffmann, Sandra
name: Havelaar, Arie
Publisher: name: Unknown
Year: 2019
Subjects: subject: Consumer/Household Economics
subject: Food Consumption/Nutrition/Food Safety
subject: Food Security and Poverty
subject: Health Economics and Policy
subject: food safety
subject: global
subject: foodborne disease
subject: World Health Organization (WHO)

description: An ERS researcher collaborated with international scientists in estimating the global incidence and health effects—or burden—of 13 foodborne diseases caused by consumption of one of 8 animal-source foods (meats, fish, dairy products, and eggs). The researchers found that the foodborne disease burden attributed to consumption of animal foods was over twice as high in sub-Saharan Africa as in other global subregions.
Inferring pathways leading to organic-sulfur mineralization in the Bacillales
Creators: name: Santana, Margarida M.
name: Gonzalez, Juan M.
name: Clara, Maria I.
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified

description: Microbial organic sulfur mineralization to sulfate in terrestrial systems is poorly understood. The process is often missing in published sulfur cycle models. Studies on microbial sulfur cycling have been mostly centered on transformations of inorganic sulfur, mainly on sulfate-reducing and inorganic sulfur-oxidizing bacteria. Nevertheless, organic sulfur constitutes most sulfur in soils. Recent reports demonstrate that the mobilization of organic-bound-sulfur as sulfate in terrestrial environments occurs preferentially under high temperatures and thermophilic Firmicutes bacteria play a major role in the process, carrying out dissimilative organic-sulfur oxidation. So far, the determinant metabolic reactions of such activity have not been evaluated. Here, in silico analysis was performed on the genomes of sulfate-producing thermophilic genera and mesophilic low-sulfate producers, revealing that highest sulfate production is related to the simultaneous presence of metabolic pathways leading to sulfite synthesis, similar to the ones found in mammalian cells. Those pathways include reverse transsulfuration reactions (tightly associated with methionine cycling), and the presence of aspartate aminotransferases (ATs) with the potential of 3-sulfinoalanine AT and cysteine AT activity, which ultimately leads to sulfite production. Sulfite is oxidized to sulfate by sulfite oxidase, this enzyme is determinant in sulfate synthesis, and it is absent in many mesophiles.
How changes in soil hydraulic properties influence transpiration dynamics under climate change across Europe: A sensitivity study
Creators: name: Turek, Maria Eliza
name: Holzkämper, Annelie
Publisher: name: Zenodo
Year: 2024

description: In SoilX it was hypothesized that more sustainable soil management practices would increase the amounts of plant available water, concomitant to higher values of near saturated hydraulic conductivity. However, the benefits of these changes for crop growth and yield stability my vary in space and in time. It was thus the aim of this model-based sensitivity study, to explore systematically how changes in saturated water content and saturated hydraulic conductivity would affect crop growth of grain maize and winter wheat, respectively, depending on climatic conditions. To represent spatial variance in climatic conditions, we applied the model SWAP at six long-term experimental sites along a northeast-southwest gradient across Europe. Temporal variance was accounted for by applying the model based on locally downscaled transient climate projections from CMIP6. Our preliminary results suggest that drought limitations to both grain maize and winter wheat increase with projected climate change in all sites. Despite linear shifts in the combinations of soil hydraulic properties, the benefits of increasing soil hydraulic conductivity differ both in space and in time driven by opposing effects on drought vs. excess water limitations to crop growth.
title: How can a Rubik's Cube help you understand the global environmental sustainability challenge?
title: The Planetary Priorities Rubik's Cube Icon Information Brief
titleType: Subtitle
Creators: name: Cornell, Sarah
name: Palm, Celinda
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Environmental sciences
subject: Sustainability sciences
subject: Planetary Boundaries
subject: System sciences
subject: Globalization

description: This info brief accompanies the print-sheet for making a Planetary Priorities Rubik's Cube, a fun and challenging thinking toy designed to deepen understanding of global environmental changes. It gives a brief explanation of the complex interactions among the most perturbed Earth system processes in the planetary boundaries framework, and highlights insights for systemic societal change towards sustainable systems.
“Teach me how to curse”: Senecan Historiography and Octavia’s Agrippina in Richard III
Creators: name: Engelmayer, Caroline
Publisher: name: Memoria di Shakespeare. A Journal of Shakespearean Studies
Year: 2023

description: This article extends explorations of a Renaissance “Seneca available for generic appropriation” (Mayne 2020) by tracing Shakespeare’s receptions of the pseudo-Senecan Octavia in Richard III. As the only complete fabula praetexta (Roman historical drama) to have survived from antiquity, the Octavia offers critics the chance to trace the dramatic resources that an underexplored classical genre offered to early modernity. In the Octavia, an anonymous Flavian tragedy attributed to Seneca in the Renaissance, Shakespeare encountered a historiographical debate – invested in exploring processes of cultural memory and national myth-making – that interrogates the arc of Rome’s past. In Richard III, Shakespeare intervenes in the Octavia’s historiographical clash between Nero, who champions a teleological vision of the peace and stability of imperium sine fine, and the ghost of Agrippina, who locates in the ruling dynasty’s regime a cyclical continuation of Roman wars worse than civil. By reimagining Agrippina in Margaret of Anjou – an unrecognized adaptation – and staging the fulfilment of her Octavian curse, Shakespeare dramatizes the triumph of her cyclical philosophy of history. He discovers in the praetexta an unlikely source of inspiration for female voices from the margins that purge the sins of tyranny and shape the trajectory of a nation’s history.
description: Memoria di Shakespeare. A Journal of Shakespearean Studies, Vol. 10 (2023): What's Seneca to Him? Senecan Shakespeare
Online Updating of Computer Model Output Using Real-Time Sensor Data
Creators: name: Huijing Jiang
name: Xinwei Deng
name: López, Vanessa
name: Hamann, Hendrik F.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
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

description: Data center thermal management has become increasingly important because of massive computational demand in information technology. To advance the understanding of the thermal environment in a data center, complex computer models are extensively used to simulate temperature distribution maps. However, due to management policies and time constraints, it is not practical to execute such models in a real time fashion. In this article, we propose a novel statistical modeling method to perform real-time simulation by dynamically fusing a base, steady-state solution of a computer model, and real-time thermal sensor data. The proposed method uses a Kalman filter and stochastic gradient descent method as computational tools to achieve real-time updating of the base temperature map. We evaluate the performance of the proposed method through a simulation study and demonstrate its merits in a data center thermal management application. Supplementary materials for this article are available online.
Socio-economic benefit review report: Agricultural sector
Creators: name: South African Weather Service
Publisher: name: Zenodo
Year: 2024
Subjects: Climate services
South Africa
Agriculture

description: Weather and climate affect in some measure all economic sectors as well as public and private activities. As government and other funding institutions continue to receive requests for funding for earth observation, weather and climate and other research hence there is increasing need to assess the societal benefits or value of such information and products. The contingent valuation method was used in this study to assess the socioeconomic benefits of weather, climate information and services from the South African Weather Service (SAWS) to stakeholders in the agriculture sector. The agriculture sector is one of the climate sensitive sectors but has been identified in national and subnational strategic planning documents to be a key driver for economic growth. This report comprises findings of a socioeconomic benefit study for the agriculture sector undertaken at SAWS. The results indicate the different platforms used to access weather and climate information, SAWS products which are used by farmers in different specialisations, as well as the willingness to pay for climate services information for farmers and non-farmers
MPEC 2024-U273 : 2024 UB11
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
subject: 2024 UB11

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.