cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Search for methylamine in high mass hot cores
Creators: name: Ligterink, N. F. W.
name: Tenenbaum, E. D.
name: van Dishoeck, E. F.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We aim to detect methylamine, CH$_{3}$NH$_{2}$, in a variety of hot cores and use it as a test for the importance of photon-induced chemistry in ice mantles and mobility of radicals. Specifically, CH$_3$NH$_2$ cannot be formed from atom addition to CO whereas other NH$_2$-containing molecules such as formamide, NH$_2$CHO, can. Submillimeter spectra of several massive hot core regions were taken with the James Clerk Maxwell Telescope. Abundances are determined with the rotational diagram method where possible. Methylamine is not detected, giving upper limit column densities between 1.9 $-$ 6.4 $\times$ 10$^{16}$ cm$^{-2}$ for source sizes corresponding to the 100 K envelope radius. Combined with previously obtained JCMT data analyzed in the same way, abundance ratios of CH$_{3}$NH$_{2}$, NH$_{2}$CHO and CH$_{3}$CN with respect to each other and to CH$_{3}$OH are determined. These ratios are compared with Sagittarius B2 observations, where all species are detected, and to hot core models. The observed ratios suggest that both methylamine and formamide are overproduced by up to an order of magnitude in hot core models. Acetonitrile is however underproduced. The proposed chemical schemes leading to these molecules are discussed and reactions that need further laboratory studies are identified. The upper limits obtained in this paper can be used to guide future observations, especially with ALMA.
description: 14 pages, 5 figures, accepted for publication in A&A
Quantitative Helly-type theorems via sparse approximation
Creators: name: Almendra-Hernández, Víctor Hugo
name: Ambrus, Gergely
name: Kendall, Matthew
Publisher: name: arXiv
Year: 2021
Subjects: subject: Metric Geometry (math.MG)
subject: FOS: Mathematics
subject: 52A35, 52A27

description: We prove the following sparse approximation result for polytopes. Assume that $Q$ is a polytope in John's position. Then there exist at most $2d$ vertices of $Q$ whose convex hull $Q'$ satisfies $Q \subseteq - 2d^2 \, Q'$. As a consequence, we retrieve the best bound for the quantitative Helly-type result for the volume, achieved by Brazitikos, and improve on the strongest bound for the quantitative Helly-type theorem for the diameter, shown by Ivanov and Naszódi: We prove that given a finite family $\mathcal{F}$ of convex bodies in $\mathbb{R}^d$ with intersection $K$, we may select at most $2 d$ members of $\mathcal{F}$ such that their intersection has volume at most $(c d)^{3d /2} \,\mathrm{vol}\, K$, and it has diameter at most $2 d^2 \,\mathrm{diam} \,K$, for some absolute constant $c>0$.
description: Final version, to appear in Discrete and Computational Geometry
Requiring linearity leads to complete positivity
Creators: name: Sargolzahi, Iman
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The reduced dynamics of an open quantum system $S$, interacting with its environment $E$, is not completely positive, in general. In this paper, we demonstrate that if the two following conditions are satisfied, simultaneously, then the reduced dynamics is completely positive: (1) the reduced dynamics of the system is linear, for arbitrary system-environment unitary evolution $U$; and (2) the reduced dynamics of the system is linear, for arbitrary initial state of the system $ρ_S$.
description: 7 pages, 2 figures. The title is changed to match the published version
Additional file 1 of Aging-relevant human basal forebrain cholinergic neurons as a cell model for Alzheimer’s disease
Creators: name: Shuaipeng Ma
name: Zang, Tong
name: Meng-Lu Liu
name: Zhang, Chun-Li
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Geology
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1: Figure S1. The reprogramming process and optimization, related to Fig. 1 A.
Co-seismic and ongoing land deformation at Mt. Lyford Village, North Canterbury
Creators: name: Langridge, RM
name: Townsend DB
Publisher: name: GNS Science
Year: 2018

description: The Mw 7.8 2016 Kaikōura earthquake caused considerable damage to land and buildings at Mt Lyford Village, north Canterbury. In light of this event, the Natural Hazards Research Platform (NHRP) along with the Hurunui District Council (HDC) and Environment Canterbury (ECan) have jointly funded a study of the earthquake damage caused to Mt Lyford Village. This project was designed by these stakeholders and the Department of the Prime Minister and Cabinet (DPMC) and led by GNS Science (GNS). GNS built a team that included expertise in engineering geology, structural engineering and log cabin engineering with members from Golder Associates Ltd. and PTL (NZ) Ltd. The results of the project have been presented as a GNS Science Consulting Report (Langridge et al., 2018; GNS CR 2017/227) along with GIS map layers to HDC. That report has been followed up by a GNS Science Letter Report (Langridge & Townsend, 2018; GNS CR 2018/104 LR) that details how the application of Land Classes could assist future planning decisions. The key findings of these two reports are: Post-earthquake field reconnaissance and follow-on science using post-earthquake airborne LiDAR led to the evaluation of new locally-relevant land classes based on slope and erosion criteria, and to active fault avoidance zones. The Land Classes are: Mt Lyford Land Class 1 (i.e. ML LC 1): slopes of <25°, and outside of any other land class definition, including active fault avoidance zones; ML LC 2: a mixed slope class, having a combination of very steep (≥25° slope), and less steep slopes (<25°); ML LC 3: comprising land with slopes of >25° (very steep slopes); ML LC 3a: comprising a ±20 m wide setback zone around the upper edge of ML LC 3 areas; and ML LC 4: comprising areas related to pre-existing landslide deposits Land Class ML LC 4 was established because mapping in the Langridge et al. (2018) report highlighted that large landslide deposits may be susceptible to future movement or re-mobilisation and may be susceptible to material falling onto them from their own headscarp area. Active faults have been mapped and buffered for fault avoidance according to the MfE guidelines relating to building on or adjacent to active faults (Kerr et al., 2003). The recommended treatment of areas within each of these land classes and their associated risk profiles are discussed in the GNS Letter Report (Langridge & Townsend, 2018). Engagement with the community of Mt Lyford has occurred frequently before, during and after the response investigations, and has been one of the most important and successful components of this project. The project team, encompassing GNS, HDC, ECan and Golder Associates have been involved in engagement in a united way, providing certainty for the villagers of Mt Lyford. (auth)
Quantum phase transitions and string orders in the spin-1/2 Heisenberg-Ising alternating chain with Dzyaloshinskii-Moriya interaction
Creators: name: Liu, Guang-Hua
name: You, Wen-Long
name: Li, Wei
name: Su, Gang
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Quantum phase transitions (QPTs) and the ground-state phase diagram of the spin-1/2 Heisenberg-Ising alternating chain (HIAC) with uniform Dzyaloshinskii-Moriya (DM) interaction are investigated by a matrix-product-state (MPS) method. By calculating the odd- and even-string order parameters, we recognize two kinds of Haldane phases, i.e., the odd- and even-Haldane phases. Furthermore, doubly degenerate entanglement spectra on odd and even bonds are observed in odd- and even-Haldane phases, respectively. A rich phase diagram including four different phases, i.e., an antiferromagnetic (AF), AF stripe, odd- and even-Haldane phases, is obtained. These phases are found to be separated by continuous QPTs: the topological QPT between the odd- and even-Haldane phases is verified to be continuous and corresponds to conformal field theory with central charge $c$=1; while the rest phase transitions in the phase diagram are found to be $c$=1/2. We also revisit, with our MPS method, the exactly solvable case of HIAC model with DM interactions only on odd bonds, and find that the even-Haldane phase disappears, but the other three phases, i.e., the AF, AF stripe, and odd-Haldane phases, still remain in the phase diagram. We exhibit the evolution of the even-Haldane phase by tuning the DM interactions on the even bonds gradually.
description: 21 pages, 13 figures
Additional file 6 of Aging-relevant human basal forebrain cholinergic neurons as a cell model for Alzheimer’s disease
Creators: name: Shuaipeng Ma
name: Zang, Tong
name: Meng-Lu Liu
name: Zhang, Chun-Li
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Geology
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 6: Table S1. Primary antibodies. Table S2. Primer sequences.
Bilevel Aggregator-Prosumers' Optimization Problem in Real-Time: A Convex Optimization Approach
Creators: name: Shomalzadeh, Koorosh
name: Scherpen, Jacquelien M. A.
name: Camlibel, M. Kanat
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: This paper proposes a Real-Time Market (RTM) platform for an aggregator and its corresponding prosumers to participate in the electricity wholesale market. The proposed energy market platform is modeled as a bilevel optimization problem where the aggregator and the prosumers are considered as self-interest agents. The current state-of-the-art Mathematical Programming with Equilibrium Constraints (MPEC) and Mixed-Integer Programming (MIP) based approaches to solve bilevel optimization problems are not satisfactory for real-time applications. The computation time for such approaches grows exponentially as the number of prosumers and decision variables increase. This paper presents a convex optimization problem which can capture a subset of the set of global optima of the bilevel problem as its optimal solution.
Additional file 4 of Aging-relevant human basal forebrain cholinergic neurons as a cell model for Alzheimer’s disease
Creators: name: Shuaipeng Ma
name: Zang, Tong
name: Meng-Lu Liu
name: Zhang, Chun-Li
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Geology
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 4: Figure S4. PhosphoTAU expression in hiBFCNs, related to Fig. 5 A.
Effect of initial fluctuations on the collective flow in intermediate-energy heavy ion collisions
Creators: name: Wang, Jia
name: Ma, Yu-Gang
name: Zhang, Guo-Qiang
name: Shen, Wen-Qing
Publisher: name: arXiv
Year: 2014
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: A systemical analysis of the initial fluctuation effect on the collective flows for Au+Au at 1$A$ GeV has been presented in the framework of Isospin-dependent Quantum Molecular Dynamics model (IQMD), and a special focus on the initial fluctuation effect on the squeeze-out is emphasized. The flows calculated by the participant plane reconstructedby the initial geometry in coordinate space are compared with those calculated by both the ideal reaction plane and event plane methods. It is found that initial fluctuation weakens squeeze-out effect, and somediscrepancies between the flows extracted by the above different plane methods appearwhich indicate that the flows are affected by the evolution of dynamics. In addition, we found that the squeeze-out flow is also proportional to initial eccentricity. Our calculations also qualitatively give the similar trend for the excitation function of the elliptic flow of the FOPI experimental data. Finally we address the nucleon number scaling of the flows for light particles. Even though initial fluctuation decreases the ratio of $v_4/v_2^2$ as well as $v_3/(v_1v_2$) a lot, all fragments to mass number 4 keep the same curve and shows independent of transverse momentum.
description: 9 pages, 9 figures
A co-spectral budget model links turbulent eddies to suspended sediment concentration in channel flows
Creators: name: Li, Shuolin
name: Bragg, Andrew D
name: Katul, Gabriel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The vertical distribution of suspended sediment concentration (SSC) remains a subject of active research given its relevance to a plethora of problems in hydraulics, hydrology, ecology, and water quality control. Much of the classical theories developed over the course of 90 years represent the effects of turbulence on suspended sediments (SS) using an effective mixing length or eddy diffusivity without explicitly accounting for the energetics of turbulent eddies across scales. To address this gap, the turbulent flux of sediments is derived using a co-spectral budget (CSB) model that can be imminently used in SS and other fine particle transport models. The CSB closes the pressure-redistribution effect using a spectral linear Rotta scheme modified to include isotropoziation of production and interactions between turbulent eddies and sediment grains through a modified scale-dependent de-correlation time. The result is a formulation similar in complexity to the widely used Rouse's equation but with all characteristic scales, Reynolds number, and Schmidt number effects derived from well-established spectral shapes of the vertical velocity and accepted constants from turbulence models. Finally, the proposed CSB model can recover Prandtl's and Rouse's equations under restricted conditions.
Time-dependent HF approach to SHE dynamics
Creators: name: Umar, A. S.
name: Oberacker, V. E.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We employ the time-dependent Hartree-Fock (TDHF) method to study various aspects of the reactions utilized in searches for superheavy elements. These include capture cross-sections, quasifission, prediction of $P_{\mathrm{CN}}$, and other interesting dynamical quantities. We show that the microscopic TDHF approach provides an important tool to shed some light on the nuclear dynamics leading to the formation of superheavy elements.
description: Contributed to "Special Issue on SHE for Nucl. Phys. A", 18 pages, 9 figures
Additional file 5 of Aging-relevant human basal forebrain cholinergic neurons as a cell model for Alzheimer’s disease
Creators: name: Shuaipeng Ma
name: Zang, Tong
name: Meng-Lu Liu
name: Zhang, Chun-Li
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Geology
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 5: Figure S5. Effect of LMB on nucleocytoplasmic transport in hiBFCNs, related to Fig. 6 A.
การตีความเอกสาร
Creators: name: อรุณี วสันตยานันท์
Publisher: name: สำนักวิชานิติศาสตร์ มหาวิทยาลัยแม่ฟ้าหลวง
Year: 2566
Subjects: การตีความการแสดงเจตนา
การตีความเอกสารสัญญา

description: วารสารนิติศาสตร์ มหาวิทยาลัยแม่ฟ้าหลวง, 6, 1, 61-109
Microstructural damage dataset (pytorch geometric dataset)
Creators: name: Durmaz, Ali Riza
name: Thomas, Akhil
Publisher: name: Fraunhofer-Gesellschaft
Year: 2023
Subjects: subject: Graph dataset
subject: pytorch geometric
subject: microstructural damage dataset
subject: DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme

description: This data set contains information about microstructure-sensitive damage in ferritic steel (EN 1.4003) specimens. We provide both graph and tabular data sets. In the graph data set, each node is a grain in the material, and each edge connects adjacent grains. Annotation is provided to each of the grains mentioning if it developed damage (protrusion in this case) during a fatigue test. The annotation is provided based on fatigue tests performed on the specimen.
Evidence for Dark Matter Self-Interactions via Collisionless Shocks in Cluster Mergers
Creators: name: Heikinheimo, Matti
name: Raidal, Martti
name: Spethmann, Christian
name: Veermäe, Hardi
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: While dark matter self-interactions may solve several problems with structure formation, so far only the effects of two-body scatterings of dark matter particles have been considered. We show that, if a subdominant component of dark matter is charged under an unbroken $U(1)$ gauge group, collective dark plasma effects need to be taken into account to understand its dynamics. Plasma instabilities can lead to collisionless dark matter shocks in galaxy cluster mergers which might have been already observed in the Abell 3827 and 520 clusters. As a concrete model we propose a thermally produced dark pair plasma of vectorlike fermions. In this scenario the interacting dark matter component is expected to be separated from the stars and the non-interacting dark matter halos in cluster collisions. In addition, the missing satellite problem is softened, while constraints from all other astrophysical and cosmological observations are avoided.
description: Matches the version to be published in Physics Letters B
Additional file 2 of Aging-relevant human basal forebrain cholinergic neurons as a cell model for Alzheimer’s disease
Creators: name: Shuaipeng Ma
name: Zang, Tong
name: Meng-Lu Liu
name: Zhang, Chun-Li
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Geology
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 2: Figure S2. Characterization of the induced neurons, related to Fig. 1 A.
Steady-state dynamics and effective temperatures of quantum criticality in an open system
Creators: name: Ribeiro, P.
name: Zamani, F.
name: Kirchner, S.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the thermal and non-thermal steady state scaling functions and the steady-state dynamics of a model of local quantum criticality. The model we consider, i.e. the pseudogap Kondo model, allows us to study the concept of effective temperatures near fully interacting as well as weak-coupling fixed points. In the vicinity of each fixed point we establish the existence of an effective temperature --different at each fixed point-- such that the equilibrium fluctuation-dissipation theorem is recovered. Most notably, steady-state scaling functions in terms of the effective temperatures coincide with the equilibrium scaling functions. This result extends to higher correlation functions as is explicitly demonstrated for the Kondo singlet strength. The non-linear charge transport is also studied and analyzed in terms of the effective temperature.
description: 5 pages, 4 figures; Supplementary Material (7 pages, 1 figure)
title: Die Vernetzung der Netze.
title: Wird in Zukunft alles und jeder Teil eines 'Mega-Netz?
titleType: Subtitle
Creators: name: Hager, Niklas
Publisher: name: Universität Salzburg
Year: 2014
Subjects: subject: 300 Social Sciences
subject: Netzwerke
subject: Vernetzung
subject: Netzwerkarten
subject: künstliche Intelligenz
subject: Chatbot
subject: Machtstrukturen

description: Vernetzung ist ein Prozess, den wir in unserer Gesellschaft durchlaufen. Konsequenzen
            und Entwicklungen die sich daraus ergeben, werden laut Van Dijk (2012 a: 25)
            mit dem Begriff einer 'network-society' beschrieben. Vernetzung verläuft jedoch
            mehrdimensional und betrifft längst nicht mehr nur soziale und mediale Systeme.
            Durch die technologische Entwicklung selbst werden neue Machtstrukturen im Netz
            gebildet, in denen sich menschliche Individuen durch entsprechende Kompetenzen und
            Fähigkeiten behaupten müssen. Diverse momentane Entwicklungen zeigen das Risiko, welches wir eingehen, wenn Technologie eine ebenbürtige Stellung im Netz einnimmt.
Mapping University-Corporate Partnerships
Creators: name: Matsoukas, Ianis G.
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 350704
subject: Entrepreneurship
classificationCode: 350705
subject: Innovation management
classificationCode: 350706
subject: International business
classificationCode: 350707
subject: Leadership
classificationCode: 350708
subject: Not-for-profit business and management
classificationCode: 350709
subject: Organisation and management theory
classificationCode: 350710
subject: Organisational behaviour
classificationCode: 350711
subject: Organisational planning and management
classificationCode: 350714
subject: Public sector organisation and management
classificationCode: 350718
subject: Strategy
classificationCode: 350799
subject: Strategy, management and organisational behaviour not elsewhere classified
classificationCode: 350712
subject: Production and operations management
classificationCode: 390303
subject: Higher education

description: Collaborations between institutions of higher education and private corporations are critical drivers of the innovation economy. Universities have long collaborated with the private sector to deliver selected, non-academic business operations (Figure 1). In particular, services that a private company might perform better, faster, or less expensively have lent to significant amounts of outsourcing in higher education. Typical examples include campus security, custodial and laundry services, car parking, energy management, bookshop management and academic publishing, and food, hospitality and entertainment services.Private corporations have also provided significant liquidity to higher education. This is evidenced in examples such as brand licensing arrangements, broadcasting and media rights, and acquisitions of intellectual property and patents. In certain functional areas, notably real estate development, strong partnerships have evolved in which private capital has been brought to bear in the development of joint campus initiatives. In these university-private corporate partnerships, institutions of higher education collaborate with private equity capital firms, real estate developers, and architects to construct new campus infrastructure — often student residences but increasingly non-revenue-generating real estate assets. An entire class of dedicated real estate investment trusts, especially in the U.S., has emerged over the past two decades to support universities’ student accommodation needs.
The Role of Geographic Spreaders in Infectious Pattern Formation and Front Propagation Speeds
Creators: name: Li, Shuolin
name: Henriquez, Craig
name: Katul, Gabriel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: The pattern formation and spatial spread of infectious populations are investigated using a kernel-based Susceptible-Infectious-Recovered (SIR) model applicable across a wide range of basic reproduction numbers $R_o$. The focus is on the role of geographic spreaders defined here as a portion of the infected population ($ϕ$) experiencing high mobility between identical communities. The spatial organization of the infected population and invasive front speeds ($c_{max}$) are determined when the infections are randomly initiated in space within multiple communities. For small but finite $ϕ$, scaling analysis in 1-dimension and simulation results in 2-dimensions suggest that $c_{max}\sim (1-ϕ) γ(R_o-1) σ$, where $γ$ is the inverse of the infectious duration, and $σ^2$ is the variance of the spatial kernel describing mobility of long-distance spreaders across communities. Hence, $c_{max}$ is not significantly affected by the small $ϕ$ though reductions in $ϕ$ act as retardation factors to the attainment of $c_{max}$. The $σ$ determines the spatial organization of infections across communities. When $σ>5dr$ (long-distance mobility, where $dr$ is the minimum spatial extent defining adjacent communities), the infectious population will experience a transient but spatially coherent pattern with a wavelength that can be derived from the spreading kernel properties.
title: Cardiovascular disease in patients with ankylosing spondylitis
title: L’atteinte cardiovasculaire de la spondyloarthrite ankylosante.
Creators: name: Ghozlani, Imad
Publisher: name: Revue Marocaine de Rhumatologie (RMR)
Year: 2017
Subjects: Spondyloarthrite ankylosante; Risque cardiovasculaire; Atteinte cardiaque.

description: Ankylosing spondylitis (AS) is a chronic inflammatory disease that represents the the most frequent form of spondyloarthropathies. This review aims to report the current the high cardiovascular risk in AS, the prevalence of cardiovascular risk factors in this rheumatic disease, the cardiovascular effects of treatment and the guidelines for cardiovascular risk management.
description: La spondyloarthrite ankylosante (SA) est un rhumatisme inflammatoire chronique qui représente la forme la plus fréquente des spondyloarthropathies, Cette revue de la littérature a pour objectifs de rappeler les différentes manifestations cardiovasculaires de la maladie, les données actualisées concernant l’excès de risque cardiovasculaire dans la SA, l’effet cardiovasculaire des traitements et les recommandations pour la prise en charge du risque cardiovasculaire.
Adiabatic approximation for the imaginary-time Schroedinger equation and its application to simulated annealing
Creators: name: Kaneko, Kazuya
name: Nishimori, Hidetoshi
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We formulate an adiabatic approximation for the imaginary-time Schroedinger equation. The obtained adiabatic condition consists of two inequalities, one of which coincides with the conventional adiabatic condition for the real-time Schroedinger equation, but the other does not. We apply this adiabatic approximation to the analysis of Markovian dynamics of the classical Ising model, which can be formulated as the imaginary-time Schrödinger equation, to obtain an asymptotic formula for the probability that the system reaches the ground state in the limit of a long annealing time in simulated annealing. Using this form, we amend the theory of Somma, Batista, and Ortiz for a convergence condition for simulated annealing.
description: 5 pages
Additional file 2 of Prognostic value of kallikrein-related peptidase 7 (KLK7) mRNA expression in advanced high-grade serous ovarian cancer
Creators: name: Weiwei Gong
name: Yueyang Liu
name: Diamandis, Eleftherios P.
name: Kiechle, Marion
name: Bronger, Holger
name: Dorn, Julia
name: Dreyer, Tobias
name: Magdolen, Viktor
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: Computational Biology

description: Additional file 2. Validation of a significant association between KLK7 mRNA expression and progression-free survival of patients using publicly available Affymetrix data. For analysis of the prognostic value of KLK7 mRNA expression, the online tool Kaplan-Meier Plotter - Ovarian Cancer [53] was used (probe ID: 239381_at; data set 2015 [n = 1648]) applying the following selection criteria for the patients: (i) serous histological type, (ii) advanced stage (FIGO III/IV), (iii) chemotherapy using platinum compounds, and (iv) a follow-up of 5 years. Kaplan-Meier analysis confirmed that elevated KLK7 mRNA is significantly correlated with a shortened PFS (p = 0.034). With regard to OS, no significant correlation with KLK7 mRNA expression was observed.
Think Tanks Digital Communication for Policy Advocacy: Exploring Organizational and Technical Aspects
Creators: name: Hendytio, Medelina
Publisher: name: Zenodo
Year: 2023
Subjects: think tanks
digitalization
digitalisation
policy advice
policymakers
digital communication

description: Think tanks are policy research institutes that are significant in promoting evidence-based policy changes. The uniqueness of the think tanks' role is to bridge knowledge to policy by providing information and conceptual thinking through research, data, and analysis. The vast technological development, including digital technology communications, opens new opportunities for think tanks to engage with stakeholders and the public to enhance their policy advocacy – influencing policymaking, changing policy. The key is to distinguish which part of a think tank's activities that can be migrated to the digital space and which still demand direct engagements—and whether the digital alternative can still be reasonably employed. The key success is the fit between the information-processing capabilities and the digital format selection. Information that is accepted and valued by policy makers is that which could influence or shape policy. Effective policy engagement still requires direct human interaction. Policy advocacy must be supported by commitment and trust-building, personal communication, and intensive interaction with the policymakers. Trust-building and mutual understanding will be insufficient if done through a computer screen.
description: PRODIGEES, Horizon 2020 MSCA-RISE, Grant Agreement #873119
Additional file 1 of Economic impact of clinical decision support interventions based on electronic health records
Creators: name: Lewkowicz, Daniel
name: Wohlbrandt, Attila
name: Boettinger, Erwin
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Sociology
subject: FOS: Sociology
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: Science Policy
subject: Computational Biology

description: Additional file 1. Search strategy and developed search terms for different databases.
Additional file 1 of Prognostic value of kallikrein-related peptidase 7 (KLK7) mRNA expression in advanced high-grade serous ovarian cancer
Creators: name: Weiwei Gong
name: Yueyang Liu
name: Diamandis, Eleftherios P.
name: Kiechle, Marion
name: Bronger, Holger
name: Dorn, Julia
name: Dreyer, Tobias
name: Magdolen, Viktor
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: Computational Biology

description: Additional file 1. Relative KLK5 and KLK7 mRNA expression in advanced HGSOC. The cumulative histograms represent relative KLK5 and KLK7 mRNA expression levels (normalized to HPRT mRNA levels) in the analyzed HGSOC patient cohort. The values for KLK5 mRNA are taken from Gong et al. [31]. Most cases displayed robust mRNA expression levels of KLK5 and KLK7. For further analysis, both KLK5 (A) and KLK7 (B) mRNA levels were categorized by the 67th percentile into a low-expressing group (tertiles 1 + 2) versus a high-expressing group (tertile 3).
Decision Tree-Based Predictive Models for Academic Achievement Using College Students' Support Networks
Creators: name: Frazier, Anthony
name: Silva, Joethi
name: Meilak, Rachel
name: Sahoo, Indranil
name: Chan, David
name: Broda, Michael
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Computers and Society (cs.CY)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this study, we examine a set of primary data collected from 484 students enrolled in a large public university in the Mid-Atlantic United States region during the early stages of the COVID-19 pandemic. The data, called Ties data, included students' demographic and support network information. The support network data comprised of information that highlighted the type of support, (i.e. emotional or educational; routine or intense). Using this data set, models for predicting students' academic achievement, quantified by their self-reported GPA, were created using Chi-Square Automatic Interaction Detection (CHAID), a decision tree algorithm, and cforest, a random forest algorithm that uses conditional inference trees. We compare the methods' accuracy and variation in the set of important variables suggested by each algorithm. Each algorithm found different variables important for different student demographics with some overlap. For White students, different types of educational support were important in predicting academic achievement, while for non-White students, different types of emotional support were important in predicting academic achievement. The presence of differing types of routine support were important in predicting academic achievement for cisgender women, while differing types of intense support were important in predicting academic achievement for cisgender men.
Assessment of Polycyclic Aromatic Hydrocarbon Contamination of Fruits, Leaves, and Soil within Automobile Repair Workshops in Nsukka Metropolis
Creators: name: Abugu, Hillary Onyeka
name: Ezugwu, Arinze Longinus
name: Ihedioha, Janefrances Ngozi
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Plant Biology
subject: Virology

description: The level and distribution of Polycyclic Aromatic Hydrocarbon (PAHs) in soil, fruit, and leaf from within automobile repair workshops in Nsukka metropolis was assessed. The PAHs concentrations were evaluated using Gas Chromatography-Mass Spectrophotometer (GC-MS). The health risk was assessed using incremental life cancer risk (ILCR) and mutagenic effect and the possible sources of the PAHs were estimated by the diagnostic ratio. The results showed that the concentrations of the PAHs in soil, fruit, and leaf ranged from 0.003 to 0.564, 0.011 to 0.070, and 0.020 to 0.120 µg/kg, respectively. The mean PAHs concentration for soil, fruit, and leaf are 0.229842, 0.034059, and 0.043091 µg/kg, respectively. The TEQs were generally within the acceptable limit stipulated by Agency for Toxic Substances Disease Registry–ATSDR (100 µg/kg) for non-pollution and low toxicity. The incremental lifetime cancer risk (ILCR) for the seven prominent carcinogenic PAHS indicated that Benzo(a)pyrene and Dibenz(a,h)anthrance, being the most toxic were above the acceptable limit of 1 × 10−4 showing possible carcinogenic effects to humans with children being the most vulnerable. Although the concentration of PAHs in this study is lower than many similar cases, they have a high risk of carcinogenesis. In contrast, the Mutagenic Equivalent Quotient (MEQ) values were generally within the acceptable value. Benzo(a)pyrene and Dibenz(a,h)anthrance were the most contributors signifying possible alternation/modification of DNA in humans. The Diagnostic ratio showed that pyrogenic combustions could be the main sources of PAHs in the studied area. Therefore, it is evident that Nsukka automobile repair area is gradually being contaminated with PAHs.
Roughness-induced critical phenomenon analogy for turbulent friction factor explained by a co-spectral budget model
Creators: name: Li, Shuolin
name: Katul, Gabriel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Drawing on an analogy to critical phenomena, it was shown that the Nikuradse turbulent friction factor ($f_t$) measurements in pipes of radius $R$ and wall roughness $r$ can be collapsed onto a one-dimensional curve expressed as a conveyance law $f_t Re^{1/4}=g_o(χ)$, where $Re$ is a bulk Reynolds number, $χ=Re^{3/4}\left({r}/{R}\right)$. The implicit function $g_o(.)$ was conjectured based on matching two asymptotic limits of $f_t$. However, the connection between $g_o(.)$ and the phenomenon it proclaims to represent - turbulent eddies - remains lacking. Using models for the wall-normal velocity spectrum and return-to-isotropy for pressure-strain effects to close a co-spectral density budget, a derivation of $g_o(.)$ is offered. The proposed method explicitly derives the solution of the conveyance law and provides a physical interpretation of $χ$ as a dimensionless length scale reflecting the competition between viscous sublayer thickness and characteristic height of roughness elements. The application of the proposed method to other published measurements spanning roughness and Reynolds numbers beyond the original Nikuradse range is further discussed.
Classifying Anomalies THrough Outer Density Estimation (CATHODE)
Creators: name: Hallin, Anna
name: Isaacson, Joshua
name: Kasieczka, Gregor
name: Krause, Claudius
name: Nachman, Benjamin
name: Quadfasel, Tobias
name: Schlaffer, Matthias
name: Shih, David
name: Sommerhalder, Manuel
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: We propose a new model-agnostic search strategy for physics beyond the standard model (BSM) at the LHC, based on a novel application of neural density estimation to anomaly detection. Our approach, which we call Classifying Anomalies THrough Outer Density Estimation (CATHODE), assumes the BSM signal is localized in a signal region (defined e.g. using invariant mass). By training a conditional density estimator on a collection of additional features outside the signal region, interpolating it into the signal region, and sampling from it, we produce a collection of events that follow the background model. We can then train a classifier to distinguish the data from the events sampled from the background model, thereby approaching the optimal anomaly detector. Using the LHC Olympics R&D dataset, we demonstrate that CATHODE nearly saturates the best possible performance, and significantly outperforms other approaches that aim to enhance the bump hunt (CWoLa Hunting and ANODE). Finally, we demonstrate that CATHODE is very robust against correlations between the features and maintains nearly-optimal performance even in this more challenging setting.
description: 17 pages, 12 figures; v2: minor updates; v3 (published version): added study of background sculpting and minor fixes
Intramolecular Cascade C–S Bond Formation: A Safe and New Strategy for the Synthesis of Riluzole Analogues Catalyzed by K2S2O8
Creators: name: Abdelbasset, Walid Kamal
name: Sultan, Mohammed Q.
name: Alkaim, Ayad F.
name: Ashurov, Tulkin Abdullaevich
name: Altimari, Usama S.
name: Hussein, Baydaa Abed
name: Mustafa, Yasser Fakri
name: Hammid, Ali Thaeer
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biophysics
Biochemistry
Molecular Biology
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified

description: Due to the diverse applications of benzothiazoles as a privileged core in the medical and pharmaceutical industry, a simple and efficient method for synthesizing benzothiazoles via aniline, KSCN, K2CO3, and K2S2O8 is very attractive. In this study, the effective and efficient procedure for the synthesis of benzothiazoles derivatives was described. This protocol avoids the use of hazard chemical oxidants, such as bromine, thionyl chloride, iodine, and H2O2, and provides an alternative procedure for synthesizing benzothiazoles. K2S2O8 as an oxidant was applied to synthesis of benzothiazoles in good to excellent yields.
Solubility and Antioxidant Activity of 1,2-Dihydro-2-Methyl-2-Phenyl-3H-Indole-3-One-1-Oxyl Hosted at Randomly Methylated-Βétacyclodextrin: A Computational Investigation
Creators: name: Leyla, Chekatti
name: Fatiha, Madi
name: Leila, Nouar
name: Rabah, Oumeddour
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biophysics
subject: Biochemistry
subject: Physiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: In this work, the mechanism of the formation of a radical from 1,2-dihydro-2-methyl-2-phenyl-3H-indole-3-one-1-oxyl has been studied theoretically by the B3LYP/6-31G(d) method as well as the global descriptors of its reactivity have been calculated. The formation of an inclusion complex (stoichiometry 1:1) between the radical form of 1,2-dihydro-2-methyl-2-phenyl-3H-indole-3-one-1-oxyl and the randomly methylated β-cyclodextrin was also studied by B3LYP-D3/6-31G(d) method. The results obtained show that the formation of the radical is ensured by the HAT mechanism according to the BDE energies obtained in vacuum and in water. Formation of the inclusion complex according to the two models C1 and C2 leads to an increase in solubility and improve antioxidant activity of 1,2-dihydro-2-methyl-2-phenyl-3H-indole-3-one-1-oxyl radical which is agreed well with experimental results. Finally, intermolecular interaction such us H-bonds and van Der Waals interactions are the major contribution of inclusion complex stability.
Additional file 3 of Prognostic value of kallikrein-related peptidase 7 (KLK7) mRNA expression in advanced high-grade serous ovarian cancer
Creators: name: Weiwei Gong
name: Yueyang Liu
name: Diamandis, Eleftherios P.
name: Kiechle, Marion
name: Bronger, Holger
name: Dorn, Julia
name: Dreyer, Tobias
name: Magdolen, Viktor
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: Computational Biology

description: Additional file 3. Association between KLK5 and KLK7 mRNA expression in triple-negative breast cancer. In a well-defined homogeneous cohort of patients with triple-negative breast cancer, KLK5 mRNA expression levels were significantly correlated with KLK7 mRNA expression levels (Spearman correlation analysis: rs = 0.735, p
Design, Synthesis, Biological Activity, and Molecular Modeling of Novel Spiroquinazoline Derivatives as Acetylcholinesterase Inhibitors for Alzheimer Disease
Creators: name: Shtaiwi, Majed
name: Aljaar, Nayyef
name: Al-Najjar, Lana
name: Malakar, Chandi C.
name: Shtaiwi, Amneh
name: Abu-Sini, Mohammad
name: Al-Refai, Mahmoud
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biochemistry
Cell Biology
Neuroscience
Pharmacology
Environmental Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified

description: The p-toluene sulfonic acid (p-TSA) catalyzed cascade ring closing transformation has been executed for the preparation of novel spiroquinazolinone compounds 4 and 5 by the reaction between anthranilamide and cyclohexanone followed by subsequent acylation. These molecules were then examined against the inhibitory activity of Acetylcholineterase (AchE). The tested compounds revealed moderate anti-AChE activity of IC50 values ranging from 46.675 to 14.256 µM). The described results lead toward the development of compounds 4b and 5c having promising anti-AChE activities with IC50 values at the micromolar level. The docking study suggests that these hybrid spiroquinazolinone scaffold might facilitate the further development of investigated compounds as anti-Alzheimer agents.