cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Deep venous thrombosis and renal cell carcinoma overshadowing femoral vein vascular leiomyosarcoma
Creators: name: Samouco, Lúcia
Publisher: name: EURORAD
Year: 2022
Subjects: subject: Cardiovascular
subject: Vascular
subject: Veins / Vena cava
subject: CT
subject: CT-Angiography
subject: MR
subject: MR-Angiography
subject: Ultrasound
subject: Ultrasound-Colour Doppler
subject: Vascular
subject: Veins / Vena cava
subject: Cancer
subject: Embolism / Thrombosis
subject: Clinical Cases

description: Clinical History: A healthy 39-year-old male presented with deep venous thrombosis (right external iliac and femoral veins) and was screened for occult neoplasms. A right kidney renal cell carcinoma was discovered and removed. A follow-up CT scan was performed one year later. In the meantime, the deep thrombosis had not completely resolved.

description: 39 years, male
A functional analysis of church institutions
Creators: name: Galston, K. Blair
Publisher: name: University of British Columbia
Year: 2009

description: The tasks of an archivist demand a thorough knowledge of provenance. One means to such knowledge is an analysis of an organization’s functions and activities. Church institutions are a class of organization having characteristics about which it is possible to generalize. This thesis proposes that the Christian church as a whole, and the organizations within it, carry out five functions: worshiping, sustaining the institution, teaching, evangelizing, and providing pastoral care. To establish the validity of the analysis, this thesis examines each function in light of the historical development of the church. It lays out the common activities which are undertaken by church organizations in performing each of the five functions. It then outlines classes of records associated with the activities to give some tangible substance to the general theoretical picture. The study concludes by explaining how a general understanding of the church’s functions can be applied to archival studies. More specifically, it delineates implications of the analysis for records classification, appraisal, description, indexing, retrieval, and reference services.
Quantum Computation for Predicting Electron and Phonon Properties of Solids
Creators: name: Choudhary, Kamal
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Quantum chemistry is one of the most promising near-term applications of quantum computers. Quantum algorithms such as variational quantum eigen solver (VQE) and variational quantum deflation (VQD) algorithms have been mainly applied for molecular systems and there is a need to implement such methods for periodic solids. Using Wannier tight-binding Hamiltonian (WTBH) approaches, we demonstrate the application of VQE and VQD to accurately predict both electronic and phonon bandstructure properties of several elemental as well as multi-component solid-state materials. We apply VQE-VQD calculations for 307 spin-orbit coupling based electronic WTBHs and 933 finite-difference based phonon WTBHs. Also, we discuss a workflow for using VQD with lattice Greens function that can be used for solving dynamical mean-field theory problems. The WTBH model solvers can be used for testing other quantum algorithms and models also.
Linking stability with molecular geometries of perovskites and lanthanide richness using machine learning methods
Creators: name: Bhattacharya, Sampreeti
name: Roy, Arkaprava
Publisher: name: Elsevier
Year: 2024

description: Oxide perovskite materials of type ABO3 have a wide range of technological applications, such as catalysts in solid oxide fuel cells and as light-absorbing materials in solar photovoltaics. These materials often exhibit differential structural and electrostatic properties through their varied A-sites and B-sites especially if they are derived from lanthanides. Although, experimental and/or computational verification of these differences are often difficult and expensive. In this paper, we thus take a data-driven approach. Specifically, we run three analysis using the dataset by [1] applying advanced machine learning tools to perform nonparametric regressions and also to produce data visualizations using latent factor analysis (LFA) and principal component analysis (PCA). We also implement a nonparametric feature screening step while performing our high dimensional regression analysis, ensuring robustness in our results.
Lower Danube loess - a crucial palaeoclimatic archive for the last glacial cycle in Southeast Europe
Creators: name: Pötter, Stephan
name: Bösken, Janina Johanna
name: Obreht, Igor
name: Schulte, Philipp
name: Veres, Daniel
name: Hambach, Ulrich
name: Zeeden, Christian Johannes
name: Marković, Slobodan
name: Lehmkuhl, Frank
Publisher: name: RWTH Aachen University
Year: 2020

description: Abstracts & presentations : EGU General Assembly 2020 EGU General Assembly 2020, EGU2020, online, 4 May 2020 - 8 May 2020; Göttingen : Copernicus Gesellschaft mbH EGU2020-4723 (2020). doi:10.5194/egusphere-egu2020-4723
description: Published by Copernicus Gesellschaft mbH, Göttingen
An Index Theorem for the Majorana Zero Modes in Chiral P-Wave Superconductors
Creators: name: Tewari, Sumanta
name: Sarma, S. Das
name: Lee, Dung-Hai
Publisher: name: arXiv
Year: 2006
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We show that the Majorana fermion zero modes in the cores of odd winding number vortices of a 2D $p_x+ip_y$-paired superconductor is due to an index theorem. This theorem is analogous to that proven by Jackiw and Rebbi for the existence of localized Dirac fermion zero modes on the mass domain walls of a 1D Dirac theory. The important difference is that, in our case, the theorem is proven for a two component fermion theory where the first and second components are related by parity reversal and hermitian conjugation.
Kamus Sederhana Bahasa Mandailing
Creators: name: Wahyuni, Sry Wahyuni
Publisher: name: Zenodo
Year: 2024
Subjects: bahasa indonesia
bahasa mandailing

description: Indonesia terdapat berbagai macam suku dan budaya. Salah satunya adalah keberadaan bahasa daerah yang memiliki keragaman kosakata, keragaman jumlah penutur, keragaman wilayah, serta keragaman lingkungan budaya. Bahasa daerah ini merupakan kekayaan budaya bangsa yang harus kita perhatikan dan pertahankan keberadaannya. Tidak dapat dipungkiri, kepunahan sebuah bahasa lambat laun pasti akan terjadi, untuk itulah diperlukan langkah nyata guna menghambat laju terjadinya kepunahan bahasa ini. Kepunahan bahasa daerah bukan hanya karena penuturnya tidak ada, tapi karena tidak digunakan dan diajarkan ke generasi berikutnya.

Oleh karena itu, penulis ingin membuat Kamus Sederhana Mandailing sebagai bentuk upaya memperkenalkan kekayaan bahasa daerah yang terdapat di Indonesia khususnya wilayah Sumatera Utara. Kamus ini diharapkan dapat memperkaya wawasan dalam memahami kebudayaan masyarakat Mandailing.
From Linear Term Rewriting to Graph Rewriting with Preservation of Termination
Creators: name: Overbeek, Roy
name: Endrullis, Jörg
Publisher: name: arXiv
Year: 2021
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: Encodings of term rewriting systems (TRSs) into graph rewriting systems usually lose global termination, meaning the encodings do not terminate on all graphs. A typical encoding of the terminating TRS rule a(b(x)) -> b(a(x)), for example, may be indefinitely applicable along a cycle of a's and b's. Recently, we introduced PBPO+, a graph rewriting formalism in which rules employ a type graph to specify transformations and control rule applicability. In the present paper, we show that PBPO+ allows for a natural encoding of linear TRS rules that preserves termination globally. This result is a step towards modeling other rewriting formalisms, such as lambda calculus and higher order rewriting, using graph rewriting in a way that preserves properties like termination and confluence. We moreover expect that the encoding can serve as a guide for lifting TRS termination methods to PBPO+ rewriting.
description: In Proceedings GCM 2021, arXiv:2112.10217. arXiv admin note: text overlap with arXiv:2010.08230
Finiteness of the two-loop matter contribution to the triple gauge-ghost vertices in ${\cal N}=1$ supersymmetric gauge theories regularized by higher derivatives
Creators: name: Kuzmichev, Mikhail
name: Meshcheriakov, Nikolai
name: Novgorodtsev, Sergey
name: Shirokov, Ilya
name: Stepanyantz, Konstantin
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: For a general renormalizable ${\cal N}=1$ supersymmetric gauge theory with a simple gauge group we verify the ultraviolet (UV) finiteness of the two-loop matter contribution to the triple gauge-ghost vertices. These vertices have one leg of the quantum gauge superfield and two legs corresponding to the Faddeev--Popov ghost and antighost. By an explicit calculation made with the help of the higher covariant derivative regularization we demonstrate that the sum of the corresponding two-loop supergraphs containing a matter loop is not UV divergent in the case of using a general $ξ$-gauge. In the considered approximation this result confirms the recently proved theorem that the triple gauge-ghost vertices are UV finite in all orders, which is an important ingredient of the all-loop perturbative derivation of the Novikov-Shifman-Vainshtein-Zakharov relation.
description: 17 pages, 5 figures, version accepted for publication in Physical Review D
Spin Dynamics in the Second Subband of a Quasi Two Dimensional System Studied in a Single Barrier Heterostructure by Time Resolved Kerr Rotation
Creators: name: Zhang, F.
name: Zheng, H. Z.
name: Ji, Y.
name: Liu, J.
name: Li, G. R.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: By biasing a single barrier heterostructure with a 500nm-thick GaAs layer as the absorption layer, the spin dynamics for both of the first and second subband near the AlAs barrier are examined. We find that when simultaneously scanning the photon energy of both the probe and pump beams, a sign reversal of the Kerr rotation (KR) takes place as long as the probe photons break away the first subband and probe the second subband. This novel feature, while stemming from the exchange interaction, has been used to unambiguously distinguish the different spin dynamics ($T_2^{1*}$ and $T_2^{2*}$) for the first and second subbands under the different conditions by their KR signs (negative for $1^{st}$ and positive for $2^{nd}$). In the zero magnetic field, by scanning the wavelength towards the short wavelength, $T_2^{1*}$ decreases in accordance with the D'yakonov-Perel' (DP) spin decoherence mechanism. At 803nm, $T_2^{2*}$(450ps) becomes ten times longer than $T_2^{1*}$(50ps). However, the value of $T_2^{2*}$ at 803nm is roughly the same as the value of $T_2^{1*}$ at 815nm. A new feature has been disclosed at the wavelength of 811nm under the bias of -0.3V (807nm under the bias of -0.6V) that the spin coherence times ($T_2^{1*}$ and $T_2^{2*}$) and the effective $g^*$ factors ($|g^*(E1)|$ and $|g^*(E2)|$) all display a sudden change, due to the "resonant" spin exchange coupling between two spin opposite bands.
description: 9pages, 3 figures
Electrical control of the hole spin qubit in Si and Ge nanowire quantum dots
Creators: name: Milivojević, Marko
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Strong, direct Rashba spin-orbit coupling in Si, Ge, and the Ge/Si core/shell nanowire quantum dot (QD) allows for all electrical manipulation of the hole spin qubit. Motivated by this fact, we analyze different fabrication-dependent properties of nanowires, such as orientation, cross section, and the presence of strain, with the goal being to find the material and geometry that enables the fastest qubit manipulation, whose speed can be identified using the Rabi frequency. We show that QD in nanowires with a circular cross section (cNWs) enables much weaker driving of the hole spin qubit than QDs embedded in square profile nanowires (sNWs). Assuming the orientation of the Si nanowire that maximizes the spin-orbit effects, our calculations predict that the Rabi frequencies of the hole spin qubits inside Ge and Si sNW QD have comparable strengths for weak electric fields. The global maximum of the Rabi frequency is found in Si sNW QD for strong electric fields, putting this setup ahead of others in creating the hole spin qubit. Finally, we demonstrate that strain in the Si/Ge core/shell nanowire QD decreases the Rabi frequency. In cNW QD, this effect is weak; in sNW QD, it is possible to optimize the impact of strain with the appropriate tuning of the electric field strength.
description: 11 pages, 7 figures
Estimating Classification Consistency of Machine Learning Models for Screening Measures
Creators: name: Pelham, William E.
name: Gonzalez, Oscar
name: Georgeson, A. R.
Publisher: name: American Psychological Association (APA)
Year: 2024

description: This article illustrates novel quantitative methods to estimate classification consistency in machine learning models used for screening measures. Screening measures are used in psychology and medicine to classify individuals into diagnostic classifications. In addition to achieving high accuracy, it is ideal for the screening process to have high classification consistency, which means that respondents would be classified into the same group every time if the assessment was repeated. Although machine learning models are increasingly being used to predict a screening classification based on individual item responses, methods to describe the classification consistency of machine learning models have not yet been developed. This article addresses this gap by describing methods to estimate classification inconsistency in machine learning models arising from two different sources: sampling error during model fitting and measurement error in the item responses. These methods use data resampling techniques such as the bootstrap and Monte Carlo sampling. These methods are illustrated using three empirical examples predicting a health condition/diagnosis from item responses. R code is provided to facilitate the implementation of the methods. This article highlights the importance of considering classification consistency alongside accuracy when studying screening measures and provides the tools and guidance necessary for applied researchers to obtain classification consistency indices in their machine learning research on diagnostic assessments. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
The hard X-ray tails in neutron star low mass X-ray binaries: BeppoSAX observations and possible theoretical explanation of the GX 17+2 case
Creators: name: Farinelli, R.
name: Titarchuk, L.
name: Frontera, F.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We report results of a new spectral analysis of two BeppoSAX observations of the Z source GX 17+2. In one of the two observations the source exhibits a powerlaw-like hard (> 30 keV) X-ray tail which was described in a previous work by a hybrid Comptonization model. Recent high-energy observations with INTEGRAL of a sample of Low Mass X-Ray Binaries including both Z and atoll classes have shown that bulk (dynamical) Comptonization of soft photons can be a possible alternative mechanism for producing hard X-ray tails in such systems. We start from the INTEGRAL results and we exploit the broad-band capability of BeppoSAX to better investigate the physical processes at work. We use GX 17+2 as a representative case. Moreover, we suggest that weakening (or disappearance) of the hard X-ray tail can be explained by increasing radiation pressure originated at the surface of the neutron star (NS). As a result the high radiation pressure stops the bulk inflow and consequently this radiation feedback of the NS surface leads to quenching the bulk Comptonization.
description: 6 pages, 3 figures, Accepted for publication in ApJ
Creatively speaking: an approach to teaching public speaking
Creators: name: Rusen, Barbara
Publisher: name: No Publisher Supplied
Year: 2021

description: College students who enroll in a public speaking course are able to define speech making concepts in formal assessments, but become challenged to effectively transition speech making conceptual learning into practice. Research has shown that creating a professional vision affords a practical guideline, a refinement of practice, and allows for self-constructed growth. It is hypothesized that a public speaking vision is needed to effectively transition conceptual learning into speech making performance. This exploratory case study makes an attempt to redesign a learning environment bridging conceptual learning to practice for seven college students enrolled in a public speaking course. q. Data were collected from three sources—documented video notes, survey responses, and interviews in efforts to understand the relationship between creating a speech making vision and implementing concepts in practice. Participants valued authentic video and being able to notice concepts in action; thus, creating a vision while collaboration provided participants with different perspectives and the opportunity to see what was missed. It is recommended that learning environments of performance based courses, such as public speaking, include learning opportunities for students to create a vision. Outcomes will inform learning and present new thoughts and ideas on transitioning conceptual learning into practice in performance based courses.
Additional file 9 of Comparative analyses of three complete Primula mitogenomes with insights into mitogenome size variation in Ericales
Creators: name: Wei, Lei
name: Liu, Tong-Jian
name: Hao, Gang
name: Ge, Xue-Jun
name: Yan, Hai-Fei
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 9: Figure S9. Correlation of NUMTs, MTPTs, and repeat length and Ericales mitogenome size after removing outlier mitogenomes. (a) NUMT length and Ericales mitogenome size after removing the Aegiceras corniculatum mitogenome; (b) repeat length and Ericales mitogenome size after removing the kiwifruit mitogenomes; (c) MTPT length and Ericales mitogenome size after removing the Rhododendron simsii and Monotropa hypopitys mitogenomes.
Advances in Self Organising Maps
Creators: name: Cottrell, Marie
name: Verleysen, Michel
Publisher: name: arXiv
Year: 2006
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Statistics Theory (math.ST)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: The Self-Organizing Map (SOM) with its related extensions is the most popular artificial neural algorithm for use in unsupervised learning, clustering, classification and data visualization. Over 5,000 publications have been reported in the open literature, and many commercial projects employ the SOM as a tool for solving hard real-world problems. Each two years, the "Workshop on Self-Organizing Maps" (WSOM) covers the new developments in the field. The WSOM series of conferences was initiated in 1997 by Prof. Teuvo Kohonen, and has been successfully organized in 1997 and 1999 by the Helsinki University of Technology, in 2001 by the University of Lincolnshire and Humberside, and in 2003 by the Kyushu Institute of Technology. The Université Paris I Panthéon Sorbonne (SAMOS-MATISSE research centre) organized WSOM 2005 in Paris on September 5-8, 2005.
description: Special Issue of the Neural Networks Journal after WSOM 05 in Paris
GOODS-ALMA 2.0: Source catalog, number counts, and prevailing compact sizes in 1.1 mm galaxies
Creators: name: Gómez-Guijarro, C.
name: Elbaz, D.
name: Xiao, M.
name: Béthermin, M.
name: Franco, M.
name: Magnelli, B.
name: Daddi, E.
name: Dickinson, M.
name: Demarco, R.
name: Inami, H.
name: Rujopakarn, W.
name: Magdis, G. E.
name: Shu, X.
name: Chary, R.
name: Zhou, L.
name: Alexander, D. M.
name: Bournaud, F.
name: Ciesla, L.
name: Ferguson, H. C.
name: Finkelstein, S. L.
name: Giavalisco, M.
name: Iono, D.
name: Juneau, S.
name: Kartaltepe, J. S.
name: Lagache, G.
name: Floc'h, E. Le
name: Leiton, R.
name: Lin, L.
name: Motohara, K.
name: Mullaney, J.
name: Nagar, N. M.
name: Okumura, K.
name: Pannella, M.
name: Papovich, C.
name: Pope, A.
name: Sargent, M. T.
name: Silverman, J. D.
name: Treister, E.
name: Wang, T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Submillimeter/millimeter observations of dusty star-forming galaxies with the Atacama Large Millimeter/submillimeter Array (ALMA) have shown that dust continuum emission generally occurs in compact regions smaller than the stellar distribution. However, it remains to be understood how systematic these findings are. Studies often lack homogeneity in the sample selection, target discontinuous areas with inhomogeneous sensitivities, and suffer from modest $uv$ coverage coming from single array configurations. GOODS-ALMA is a 1.1mm galaxy survey over a continuous area of 72.42arcmin$^2$ at a homogeneous sensitivity. In this version 2.0, we present a new low resolution dataset and its combination with the previous high resolution dataset from the survey, improving the $uv$ coverage and sensitivity reaching an average of $σ= 68.4μ$Jy beam$^{-1}$. A total of 88 galaxies are detected in a blind search (compared to 35 in the high resolution dataset alone), 50% at $S/N_{peak} \geq 5$ and 50% at $3.5 \leq S/N_{peak} \leq 5$ aided by priors. Among them, 13 out of the 88 are optically dark or faint sources ($H$- or $K$-band dropouts). The sample dust continuum sizes at 1.1mm are generally compact, with a median effective radius of $R_{e} = 0"10 \pm 0"05$ (a physical size of $R_{e} = 0.73 \pm 0.29$kpc at the redshift of each source). Dust continuum sizes evolve with redshift and stellar mass resembling the trends of the stellar sizes measured at optical wavelengths, albeit a lower normalization compared to those of late-type galaxies. We conclude that for sources with flux densities $S_{1.1mm} > 1$mJy, compact dust continuum emission at 1.1mm prevails, and sizes as extended as typical star-forming stellar disks are rare. The $S_{1.1mm} < 1$mJy sources appear slightly more extended at 1.1mm, although they are still generally compact below the sizes of typical star-forming stellar disks.
description: Accepted by A&A. 30 pages, 18 figures
Protoplanetary Disk Turbulence Driven by the Streaming Instability: Linear Evolution and Numerical Methods
Creators: name: Youdin, Andrew
name: Johansen, Anders
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present local simulations that verify the linear streaming instability that arises from aerodynamic coupling between solids and gas in protoplanetary disks. This robust instability creates enhancements in the particle density in order to tap the free energy of the relative drift between solids and gas, generated by the radial pressure gradient of the disk. We confirm the analytic growth rates found by Youdin & Goodman (2005) using grid hydrodynamics to simulate the gas and, alternatively, particle and grid representations of the solids. Since the analytic derivation approximates particles as a fluid, this work corroborates the streaming instability when solids are treated as particles. The idealized physical conditions -- axisymmetry, uniform particle size, and the neglect of vertical stratification and collisions -- provide a rigorous, well-defined test of any numerical algorithm for coupled particle-gas dynamics in protoplanetary disks. We describe a numerical particle-mesh implementation of the drag force, which is crucial for resolving the coupled oscillations. Finally we comment on the balance of energy and angular momentum in two-component disks with frictional coupling. A companion paper details the non-linear evolution of the streaming instability into saturated turbulence with dense particle clumps.
description: Accepted for publication in ApJ (14 pages)
Analytic Design of Accelerated Adiabatic Gates in Realistic Qubits: General Theory and Applications to Superconducting Circuits
Creators: name: Setiawan, F.
name: Groszkowski, Peter
name: Ribeiro, Hugo
name: Clerk, Aashish A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Shortcuts to adiabaticity is a general method for speeding up adiabatic quantum protocols, and has many potential applications in quantum information processing. Unfortunately, analytically constructing shortcuts to adiabaticity for systems having complex interactions and more than a few levels is a challenging task. This is usually overcome by assuming an idealized Hamiltonian [e.g., only a limited subset of energy levels are retained, and the rotating-wave approximation (RWA) is made]. Here we develop an $analytic$ approach that allows one to go beyond these limitations. Our method is general and results in analytically derived pulse shapes that correct both nonadiabatic errors as well as non-RWA errors. We also show that our approach can yield pulses requiring a smaller driving power than conventional nonadiabatic protocols. We show in detail how our ideas can be used to analytically design high-fidelity single-qubit "tripod" gates in a realistic superconducting fluxonium qubit.
description: 14 pages + 8 pages of Appendix, 13 figures (Published version)
Chemical composition and phytotoxic activity of the essential oil of Artemisia sieversiana growing in Xinjiang, China
Creators: name: Jiang, Chun-Yu
name: Zhou, Shi-Xing
name: Toshmatov, Zokir
name: Mei, Yu
name: Jin, Guang-Zhao
name: Han, Cai-Xia
name: Zhang, Chi
name: Shao, Hua
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: The chemical profile and phytotoxic activity of the essential oil extracted from Artemisia sieversiana was investigated. In total 17 compounds were identified by GC/MS, representing 99.17% of the entire oil, among which α-thujone (64.46%) and eucalyptol (10.15%) were the most abundant constituents. The major components, their mixture as well as the essential oil exhibited significant phytotoxic activity against Amaranthus retroflexus, Medicago sativa, Poa annua and Pennisetum alopecuroides, with their IC50 values ranged from 1.55 ∼ 6.21 mg/mL (α-thujone), 1.42 ∼ 17.81 mg/mL (eucalyptol), 0.23 ∼ 1.05 mg/mL (the mixture), and 1.89 ∼ 4.69 mg/mL (the essential oil) on the four tested species. The mixture of the major constituents exerted more potent effect compared with each individual compound, indicating the possible involvement of synergistic effect of these two compounds.
Sir Thomas Roe: Eyewitness to a Changing World
Creators: name: Das, Nandini
Publisher: name: Zenodo
Year: 2018
Subjects: early modern, travel, asia, india, cross-cultural contact, history, literature, Sir Thomas Roe

description: In 1615, Sir Thomas Roe arrived at the court of the Mughal emperor Jahangir, via a stop in Surat and an arduous journey across Gujarat and Rajasthan. His embassy would be filled with frustrations -- clashes with East India Company factors deeply protective of their own autonomy on the one hand, obstacles posed by Mughal court customs and officials on the other. He had not really achieved much when he left, and the EIC would not send another ambassador till 1699. Roe nevertheless earned a significant reputation for diplomacy in difficult terrain, and his Mughal embassy has emerged as a standard case study in theorisations of cross-cultural encounter with India, to the extent that it has begun to define our understanding of the nature of English first encounter with India. This paper, by Prof Nandini Das, places the accounts of Roe’s very familiar Mughal embassy against the backdrop of his long career across four continents and four decades, to interrogate our understanding of the 'moment' of cross-cultural encounter. Ben Jonson makes an appearance.
Health Care Cost Reductions with Machine Learning-Directed Evaluations during Radiation Therapy - An Economic Analysis of a Randomized Controlled Study.
Creators: name: Palta, Manisha
name: Thomas, Samantha M
name: Natesan, Divya
name: Niedzwiecki, Donna
name: Hong, Julian C
name: Eclov, Neville C W
name: Cobb, Alyssa
name: Tenenbaum, Jessica D
name: Malicki, Mary
name: Dalal, Nicole H
name: Mowery, Yvonne M
name: Shields, Stacey
name: Stephens, Sarah J
name: Eisenstein, Eric L
Publisher: name: Massachusetts Medical Society
Year: 2024

description: BACKGROUND: Machine learning (ML) may cost-effectively direct health care by identifying patients most likely to benefit from preventative interventions to avoid negative and expensive outcomes. System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT; NCT04277650) was a single-institution, randomized controlled study in which electronic health record-based ML accurately identified patients at high risk for acute care (emergency visit or hospitalization) during radiotherapy (RT) and targeted them for supplemental clinical evaluations. This ML-directed intervention resulted in decreased acute care utilization. Given the limited prospective data showing the ability of ML to direct interventions cost-efficiently, an economic analysis was performed.
METHODS: A post hoc economic analysis was conducted of SHIELD-RT that included RT courses from January 7, 2019, to June 30, 2019. ML-identified high-risk courses (≥10% risk of acute care during RT) were randomized to receive standard of care weekly clinical evaluations with ad hoc supplemental evaluations per clinician discretion versus mandatory twice-weekly evaluations. The primary outcome was difference in mean total medical costs during and 15 days after RT. Acute care costs were obtained via institutional cost accounting. Physician and intervention costs were estimated via Medicare and Medicaid data. Negative binomial regression was used to estimate cost outcomes after adjustment for patient and disease factors.
RESULTS: A total of 311 high-risk RT courses among 305 patients were randomized to the standard (n=157) or the intervention (n=154) group. Unadjusted mean intervention group supplemental visit costs were $155 per course (95% confidence interval, $142 to $168). The intervention group had fewer acute care visits per course (standard, 0.47; intervention, 0.31; P=0.04). Total mean adjusted costs were $3110 per course for the standard group and $1494 for the intervention group (difference in means, $1616 [95% confidence interval, $1450 to $1783]; P=0.03).
CONCLUSIONS: In this economic analysis of a randomized controlled, health care ML study, mandatory supplemental evaluations for ML-identified high-risk patients were associated with both reduced total medical costs and improved clinical outcomes. Further study is needed to determine whether economic results are generalizable. (Funded in part by The Duke Endowment, The Conquer Cancer Foundation, the Duke Department of Radiation Oncology, and the National Cancer Institute of the National Institutes of Health [R01CA277782]; ClinicalTrials.gov number, NCT04277650.).
Normalization of monomial ideals and Hilbert functions
Creators: name: Villarreal, Rafael H.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Commutative Algebra (math.AC)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 13B22, 13D40

description: We study the normalization of a monomial ideal, and show how to compute its Hilbert function (using Ehrhart polynomials) if the ideal is zero dimensional. A positive lower bound for the second coefficient of the Hilbert polynomial is shown.
description: 10 pages
Severe drought exposure in utero associates to children’s epigenetic age acceleration in a global climate change hot spot
Creators: name: Ngo, Duy
name: Straight, Bilinda
name: Qiao, Xi
name: Needham, Belinda L.
name: Lalancette, Claudia
name: Owuor Olungah, Charles
name: Naugle, Amy
name: Hilton, Charles E.
Publisher: name: Springer Nature
Year: 2024

description: The goal of this study is to examine the association between in utero drought exposure and epigenetic age acceleration (EAA) in a global climate change hot spot. Calculations of EAA in adults using DNA methylation have been found to accurately predict chronic disease and longevity. However, fewer studies have examined EAA in children, and drought exposure in utero has not been investigated. Additionally, studies of EAA in low-income countries with diverse populations are rare. We assess EAA using epigenetic clocks and two DNAm-based pace-of-aging measurements from whole saliva samples in 104 drought-exposed children and 109 same-sex sibling controls in northern Kenya. We find a positive association between in utero drought exposure and EAA in two epigenetic clocks (Hannum’s and GrimAge) and a negative association in the DNAm based telomere length (DNAmTL) clock. The combined impact of drought’s multiple deleterious stressors may reduce overall life expectancy through accelerated epigenetic aging.
The implementation of European Community environmental directives in the United Kingdom
Creators: name: Gupta, Indrani Debbie
Publisher: name: University of British Columbia
Year: 2009

description: This study applies the Mazmanian and Sabatier model for successful policy implementation to the application of EC environmental Directives in the United Kingdom. Using two areas of air pollution — vehicle emissions and large combustion plant emissions — the applicability of the Mazmanian and Sabatier framework is assessed with regard to (a) the environmental policy arena and (b) the British policy style. The Mazmanian and Sabatier model suggests that six conditions must be met for successful policy implementation to occur. These conditions incorporate five variables: legislation, science and technology, state institutions, target groups and external factors. The implementation of EC Directives 91/441 and 92/55, regulating automobile exhaust emissions, met all six conditions suggested by the model and was successful in achieving the stipulated policy goals. The implementation of EC Directive 88/609, controlling SO₂ and NOx emissions from large combustion plants, failed to meet any of the conditions. Nonetheless, the UK was successful in attaining the Directive’s targets. It is suggested that the Mazmanian and Sabatier model for successful policy implementation is not useful, as a predictive tool, to the cases studied here. The framework, derived from American practice and experience, does not appear to fit with the British policy style and the implementation of EC environmental Directives in the UK.
Additional file 6 of Comparative analyses of three complete Primula mitogenomes with insights into mitogenome size variation in Ericales
Creators: name: Wei, Lei
name: Liu, Tong-Jian
name: Hao, Gang
name: Ge, Xue-Jun
name: Yan, Hai-Fei
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 6: FigureS6. Gene clusters of each Ericales mitogenome. The red cell indicates the existence of one specific gene cluster.
D7.1 DISSEMINATION AND COMMUNICATION PLAN
Creators: name: Kocet, Aleksandra
name: Mr. Daniel Copot
Publisher: name: Zenodo
Year: 2020

description: This deliverable presents the dissemination and communication strategy of the ENVISION project. The main objective of the project is to fulfil the need for continuous and systematic monitoring of agricultural land, and hence shift the focus form fragmented monitoring limited to specific fields and dates to territory-wide and all-year-round monitoring.
Multispecies population-scale emergence of climate change signals in an ocean warming hotspot
Creators: name: McBride, Richard S
name: Lovas, Carly S
name: Mills, Katherine E
name: Pershing, Andrew J
name: Kerr, Lisa A
name: Kemberling, Adam
name: Barajas, Miguel
name: Lucey, Sean M
name: Nye, Janet A
Publisher: name: Oxford University Press (OUP)
Year: 2024

description: Ocean waters of the Northeast US continental shelf have warmed rapidly in recent years, with sea surface temperatures rising 2.5 times faster than those of the global oceans. With this strong warming trend, the frequency and duration of marine heatwaves have increased. These temperature changes stood out as a distinct warm temperature regime during the 2010s. During this decade, fish population characteristics also differed from the past. Species distribution shifts were detected for many species, demonstrating one way species could adapt to warming conditions. However, for most species, distribution shifts were insufficient to avoid warmer surface or bottom temperatures. As species occupied warmer habitats, growth patterns aligned with expectations for warming temperatures. Consistent with the temperature-size rule, some species exhibited faster growth at early life stages but plateaued at smaller body sizes; other species, however, experienced reduced growth across all ages, indicating thermal stress. Finally, population productivity indexed by the recruit-to-spawner ratio declined significantly during the 2010s for some populations. Changes in these three processes—distribution, growth, and productivity—indicate the emergence of climate change signals across multiple Northeast US fish populations. These effects create new challenges for fishery managers and industry participants operating in the context of non-stationarity and uncertainty.
Still Brighter than Pre-Explosion, SN 2012Z Did Not Disappear: Comparing Hubble Space Telescope Observations a Decade Apart
Creators: name: McCully, Curtis
name: Jha, Saurabh W.
name: Scalzo, Richard A.
name: Howell, D. Andrew
name: Foley, Ryan J.
name: Zeng, Yaotian
name: Liu, Zheng-Wei
name: Hosseinzadeh, Griffin
name: Bildsten, Lars
name: Riess, Adam G.
name: Kirshner, Robert P.
name: Marion, G. H.
name: Camacho-Neves, Yssavo
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Type Iax supernovae represent the largest class of peculiar white-dwarf supernovae. The type Iax SN~2012Z in NGC 1309 is the only white dwarf supernova with a detected progenitor system in pre-explosion observations. Deep \textit{Hubble Space Telescope} images taken before SN~2012Z show a luminous, blue source that we have interpreted as a helium-star companion (donor) to the exploding white dwarf. We present here late-time \textit{HST} observations taken $\sim$1400 days after the explosion to test this model. We find the SN light curve can empirically be fit by an exponential decay model in magnitude units. The fitted asymptotic brightness is within $10\%$ of our latest measurements and approximately twice the brightness of the pre-explosion source. The decline of the light curve is too slow to be powered by $^{56}$Co or $^{57}$Co decay: if radioactive decay is the dominate power source, it must be from longer half-life species like $^{55}$Fe. Interaction with circumstellar material may contribute to the light curve, as may shock heating of the companion star. Companion-star models underpredict the observed flux in the optical, producing most of their flux in the UV at these epochs. A radioactively-heated bound remnant, left after only a partial disruption of the white dwarf, is also capable of producing the observed excess late-time flux. Our analysis suggests that the total ejecta + remnant mass is consistent with the Chandrasekhar mass for a range of type Iax supernovae.
description: 20 pages, 13 figures, accepted to ApJ
Is the cyclic prefix necessary?
Creators: name: Sharma, Naresh
name: Tikku, Ashok Armen
Publisher: name: arXiv
Year: 2006
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: We show that one can do away with the cyclic prefix (CP) for SC-FDE and OFDM at the cost of a moderate increase in the complexity of a DFT-based receiver. Such an approach effectively deals with the decrease in the number of channel uses due to the introduction of the CP. It is shown that the SINR for SC-FDE remains the same asymptotically with the proposed receiver without CP as that of the conventional receiver with CP. The results are shown for $N_t$ transmit antennas and $N_r$ receive antennas where $N_r \geq N_t$.
description: 12 pages, 1 figure. Appeared in part in the Proceedings of International Symposium on Information Theory (ISIT), Seattle, WA, USA, July 2006
Традиционное природопользование: проблемы определения и правового регулирования
Creators: name: А.Н., Ямсков
Publisher: name: Zenodo
Year: 2000
Subjects: традиционное природопользование
коренные народы
традиционное хозяйство
обычное право в сфере землепользования
этноэкология

description: В статье представлена авторская трактовка понятия «традиционное хозяйство и природопользование коренных малочисленных народов Севера, Сибири и Дальнего Востока», обоснован отказ от свойственного социальной экологии или географии понимания «традиционного природопользования» при разработке правовых механизмов защиты интересов коренных народов в сфере хозяйства и природопользования, рассмотрены желательные сферы исключительного применения или сочетания обычно-правовых и законодательных мер регулирования хозяйственной деятельности коренных народов.
Orbital order in a bosonic $p$-band triangular lattice
Creators: name: Chen, Hua
name: Xie, X. C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a detailed study of the Bose-Hubbard model in a $p$-band triangular lattice by focusing on the evolution of orbital order across the superfluid-Mott insulator transition. Two distinct phases are found in the superfluid regime. One of these phases adiabatically connects the weak interacting limit. This phase is characterized by the intertwining of axial $p_\pm=p_x \pm ip_y$ and in-plane $p_θ=\cosθp_x+\sinθp_y$ orbital orders, which break the time-reversal symmetry and lattice symmetries simultaneously. In addition, the calculated Bogoliubov excitation spectrum gaps the original Dirac points in the single-particle spectrum but exhibits emergent Dirac points. The other superfluid phase in close proximity to the Mott insulator with unit boson filling shows a detwined in-plane ferro-orbital order. Finally, an orbital exchange model is constructed for the Mott insulator phase. Its classical ground state has an emergent SO$(2)$ rotational symmetry in the in-plane orbital space and therefore enjoys an infinite degeneracy, which is ultimately lifted by the orbital fluctuation via the order by disorder mechanism. Our systematic analysis suggests that the in-plane ferro-orbital order in the Mott insulator phase agrees with and likely evolves from the latter superfluid phase.
description: 9 pages, 4 figures
Using Machine Learning Models for Short-Term Prediction of Dissolved Oxygen in a Microtidal Estuary
Creators: name: Liu, Qianqian
name: Wang, Guozhi
name: Gachloo, Mina
name: Hall, Nathan
name: Zhang, Shuhao
name: Song, Yang
Publisher: name: MDPI
Year: 2024

description: This paper presents a comprehensive approach to predicting short-term (for the upcoming 2 weeks) changes in estuarine dissolved oxygen concentrations via machine learning models that integrate historical water sampling, historical and upcoming 2-week meteorological data, and river discharge and discharge metrics. Dissolved oxygen is a critical indicator of ecosystem health, and this approach is implemented for the Neuse River Estuary, North Carolina, U.S.A., which has a long history of hypoxia-related habitat degradation. Through meticulous data preprocessing and feature selection, this research evaluates the predictions of dissolved oxygen concentrations by comparing a recurrent neural network with four other models, including a Multilayer Perceptron, Long Short-Term Memory, Gradient Boosting, and AutoKeras, through sensitivity experiments. The input predictors to our prediction models include water temperature, turbidity, chlorophyll-a, aggregated river discharge, and aggregated wind based on eight directions. By emphasizing the most impactful predictors, we streamlined the model-building processes and built a hindcast system from 2015 to 2019. We found that the recurrent neural network model was most effective in predicting the dissolved oxygen concentrations, with an R2 value of 0.99 at multiple stations. Different from our machine learning hindcast models that used observed upcoming meteorological and discharge data, an actual forecast system would use forecasted meteorological and discharge data. Therefore, an actual operational forecast may have lower accuracy than the hindcast, as determined by the accuracy of the predicted meteorological and discharge data. Nevertheless, our studies enhance our understanding of the factors influencing dissolved oxygen variability and set the basis for the implementation of a predictive tool for environmental monitoring and management. We also emphasized the importance of building station-specific models to improve the prediction results.
Subdimensional Expansion for Multi-objective Multi-agent Path Finding
Creators: name: Ren, Zhongqiang
name: Rathinam, Sivakumar
name: Choset, Howie
Publisher: name: arXiv
Year: 2021
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Conventional multi-agent path planners typically determine a path that optimizes a single objective, such as path length. Many applications, however, may require multiple objectives, say time-to-completion and fuel use, to be simultaneously optimized in the planning process. Often, these criteria may not be readily compared and sometimes lie in competition with each other. Simply applying standard multi-objective search algorithms to multi-agent path finding may prove to be inefficient because the size of the space of possible solutions, i.e., the Pareto-optimal set, can grow exponentially with the number of agents (the dimension of the search space). This paper presents an approach that bypasses this so-called curse of dimensionality by leveraging our prior multi-agent work with a framework called subdimensional expansion. One example of subdimensional expansion, when applied to A*, is called M* and M* was limited to a single objective function. We combine principles of dominance and subdimensional expansion to create a new algorithm named multi-objective M* (MOM*), which dynamically couples agents for planning only when those agents have to "interact" with each other. MOM* computes the complete Pareto-optimal set for multiple agents efficiently and naturally trades off sub-optimal approximations of the Pareto-optimal set and computational efficiency. Our approach is able to find the complete Pareto-optimal set for problem instances with hundreds of solutions which the standard multi-objective A* algorithms could not find within a bounded time.
description: 8 pages, RA-L and IROS 2021