cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Quantum Knizhnik-Zamolodchikov equation, generalized Razumov-Stroganov sum rules and extended Joseph polynomials
Creators: name: Di Francesco, P.
name: Zinn-Justin, P.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Mathematical Physics (math-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Algebraic Geometry (math.AG)
subject: Combinatorics (math.CO)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We prove higher rank analogues of the Razumov--Stroganov sum rule for the groundstate of the O(1) loop model on a semi-infinite cylinder: we show that a weighted sum of components of the groundstate of the A_{k-1} IRF model yields integers that generalize the numbers of alternating sign matrices. This is done by constructing minimal polynomial solutions of the level 1 U_q(\hat{sl(k)}) quantum Knizhnik--Zamolodchikov equations, which may also be interpreted as quantum incompressible q-deformations of fractional quantum Hall effect wave functions at filling fraction nu=1/k. In addition to the generalized Razumov--Stroganov point q=-e^{i pi/k+1}, another combinatorially interesting point is reached in the rational limit q -> -1, where we identify the solution with extended Joseph polynomials associated to the geometry of upper triangular matrices with vanishing k-th power.
description: v3: misprint fixed in eq (2.1)
Mathematical Foundations of AIML
Creators: name: MANI, A
Publisher: name: Zenodo
Year: 2022
Subjects: Compositionality, Mereology, Spatial Mereology, Granular Computing, AGCP, Rough Sets

description: Compositionality is essential for reducing the complexity of AIML models. This is naturally related to knowledge representation and granularity. These, in turn, can be done in different ways. Also, approximate reasoning and decision-making essentially involve knowledge representation and granularity. In the talk, the following topics will be reviewed: Mathematics of compositionality in a mereological perspective for AIML, knowledge representation, axiomatic approach to granularity and related topics. Most of this will be compatible with graphs, partial orders, lattices and generalized order-based approaches.
[Brev til DKNVS]
Creators: name: Sporon, Benjamin Georg
name: Det Kongelige Norske Videnskabers Selskab (DKNVS)
Publisher: name: Unknown
Year: 1782

description: Takkebrev for innvalg
description: 2 brev. Polydoc nr. 1: 842. Polydoc nr. 2: 229.
Using the swfdr package to estimate false discovery rates conditional on covariates
Creators: name: Boca, Simina M.
name: Konopka, Tomasz
name: Jager, Leah
name: Leek, Jeffrey
Publisher: name: F1000 Research Limited
Year: 2020

description: We will present the swfdr R/Bioconductor package, which allows users to estimate the false discovery rate conditional on covariates. Multiple hypothesis testing is a common concern in modern science, including genome-wide association studies, transcriptomics, and proteomics. In many cases, tens or hundreds of thousands of statistical tests may be performed, leading to the necessity of multiple testing adjustments, often in terms of controlling or estimating the false discovery rate (FDR). Additional information, termed “meta-data,” “co-data,” or “feature-level covariates” – that may include allele frequencies, sample sizes, or gene or protein lengths – may be considered “prior information” and can be included in the decision on whether a particular null hypothesis should be rejected. We define an extension of the FDR that considers meta-data.
Our approach for estimating the FDR conditional on covariates uses a regression framework to model the proportion of true null hypotheses. A recent independent benchmarking paper showed that this technique has excellent properties, including superior power and flexibility compared to other methods. Moreover, our approach allows for multivariate covariates, which some of the competing methods do not.
We will introduce our method via an example where we consider FDR adjustments for sample size and allele frequency in a BMI genome-wide association study meta-analysis. Specifically, we will describe the lm_qvalue function, which estimates the q-values conditional on covariates.
Evaluation of the relativistic redshift in frequency standards at KRISS
Creators: name: Lee, Jisun
name: Kwon, Jay Hyoun
name: Park, Chang Yong
name: Kim, Huidong
name: Choi, In-Mook
name: Chung, Jin Wan
name: Lee, Won-Kyu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: Relativistic redshift correction should be accurately considered in frequency comparisons between frequency standards. In this study, we evaluated the relativistic redshift at Korea Research Institute of Standards and Science (KRISS) using three different methods, depending on whether the approach was traditional or modern or whether the geopotential model was global or local. The results of the three methods agreed well with one another, and the height of an Yb optical lattice clock (KRISS-Yb1) was determined to be 75.15 m with an uncertainty of 0.04 m with respect to the conventionally adopted equipotential surface W0(CGPM), the value of which is defined to be 62 636 856.0 m2/s2. Accordingly, the relativistic redshift of KRISS-Yb1 was evaluated to be 8.193(4)x10-15. These data are applicable to the frequency standards at KRISS, one of which regularly participates in the calibration of the International Atomic Time (TAI).
description: accepted in Metrologia
Probing the circumstellar structures of T Tauri stars and their relationship to those of Herbig stars
Creators: name: Vink, Jorick S.
name: Drew, Janet E.
name: Harries, Tim J.
name: Oudmaijer, Rene D.
name: Unruh, Yvonne
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present Halpha spectropolarimetry observations of a sample of 10 bright T Tauri stars, supplemented with new Herbig Ae/Be star data. A change in the linear polarisation across Halpha is detected in most of the T Tauri (9/10) and Herbig Ae (9/11) objects, which we interpret in terms of a compact source of line photons that is scattered off a rotating accretion disk. We find consistency between the position angle (PA) of the polarisation and those of imaged disk PAs from infrared and millimetre imaging and interferometry studies, probing much larger scales. For the Herbig Ae stars AB Aur, MWC 480 and CQ Tau, we find the polarisation PA to be perpendicular to the imaged disk, which is expected for single scattering. On the other hand, the polarisation PA aligns with the outer disk PA for the T Tauri stars DR Tau and SU Aur and FU Ori, conforming to the case of multiple scattering. This difference can be explained if the inner disks of Herbig Ae stars are optically thin, whilst those around our T Tauri stars and FU Ori are optically thick. Furthermore, we develop a novel technique that combines known inclination angles and our recent Monte Carlo models to constrain the inner rim sizes of SU Aur, GW Ori, AB Aur, and CQ Tau. Finally, we consider the connection of the inner disk structure with the orientation of the magnetic field in the foreground interstellar medium: for FU Ori and DR Tau, we infer an alignment of the stellar axis and the larger magnetic field direction.
description: 17 pages; MNRAS (accepted)
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering
Creators: name: Fang, Xiang
name: Hu, Yuchong
name: Zhou, Pan
name: Wu, Dapeng Oliver
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Multi-view clustering has wide applications in many image processing scenarios. In these scenarios, original image data often contain missing instances and noises, which is ignored by most multi-view clustering methods. However, missing instances may make these methods difficult to use directly and noises will lead to unreliable clustering results. In this paper, we propose a novel Auto-weighted Noisy and Incomplete Multi-view Clustering framework (ANIMC) via a soft auto-weighted strategy and a doubly soft regular regression model. Firstly, by designing adaptive semi-regularized nonnegative matrix factorization (adaptive semi-RNMF), the soft auto-weighted strategy assigns a proper weight to each view and adds a soft boundary to balance the influence of noises and incompleteness. Secondly, by proposingθ-norm, the doubly soft regularized regression model adjusts the sparsity of our model by choosing differentθ. Compared with existing methods, ANIMC has three unique advantages: 1) it is a soft algorithm to adjust our framework in different scenarios, thereby improving its generalization ability; 2) it automatically learns a proper weight for each view, thereby reducing the influence of noises; 3) it performs doubly soft regularized regression that aligns the same instances in different views, thereby decreasing the impact of missing instances. Extensive experimental results demonstrate its superior advantages over other state-of-the-art methods.
description: Publisheded in IEEE Transactions on Artificial Intelligence
Improving Tag-Clouds as Visual Information Retrieval Interfaces
Creators: name: Hassan-Montero, Yusef
name: Herrero-Solana, Victor
Publisher: name: arXiv
Year: 2024
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to refinding these resources later. Tagging is implicitly also a social indexing process, since users share their tags and resources, constructing a social tag index, so-called folksonomy. At the same time of tagging-based system, has been popularised an interface model for visual information retrieval known as Tag-Cloud. In this model, the most frequently used tags are displayed in alphabetical order. This paper presents a novel approach to Tag-Cloud's tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. The results suggest that presented approach reduces the semantic density of tag set, and improves the visual consistency of Tag-Cloud layout.
Bulk viscous cosmology: statefinder and entropy
Creators: name: Hu, M.
name: Meng, Xin He
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The statefinder diagnostic pair is adopted to differentiate viscous cosmology models and it is found that the trajectories of these viscous cosmology models on the statefinder pair $s-r$ plane are quite different from those of the corresponding non-viscous cases. Particularly for the quiessence model, the singular properties of state parameter $w=-1$ are obviously demonstrated on the statefinder diagnostic pair planes. We then discuss the entropy of the viscous / dissipative cosmology system which may be more practical to describe the present cosmic observations as the perfect fluid is just a global approximation to the complicated cosmic media in current universe evolution. When the bulk viscosity takes the form of $ζ=ζ_{1}\dot{a}/a$($ζ_{1}$ is constant), the relationship between the entropy $S$ and the redshift $z$ is explicitly given out. We find that the entropy of the viscous cosmology is always increasing and consistent with the thermodynamics arrow of time for the universe evolution. With the parameter constraints from fitting to the 157 gold data of supernova observations, it is demonstrated that this viscous cosmology model is rather well consistent to the observational data at the lower redshifts, and together with the diagnostic statefinder pair analysis it is concluded that the viscous cosmic models tend to the favored $Λ$CDM model in the later cosmic evolution, agreeable to lots of cosmological simulation results, especially to the fact of confidently observed current accelerating cosmic expansion.
description: 10 color figs and pages; references added and representations improved
Ultrasonic-assisted synthesis and antitumor evaluation of novel variant heterocyclic compounds based on piperidine ring
Creators: name: Aboelnaga, Asmaa
name: Ebead, Eman El-Sayed
name: Nassar, Ekhlass
name: Naguib, Mohamed M
name: Ismail, Mahmoud F
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Neuroscience
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mental Health

description: Aim: This work explores the eco-friendly synthesis of various heterocycles from a piperidine-based compound (1) and explore their potential as antitumor agents. Materials & methods: Ultrasonic irradiation was used to synthesize heterocycles like pyridone, thiophene and coumarin, with computational tools analyzing stability and biological interactions. Results: Compounds 9 and 14 exhibit strong cytotoxic activity, surpassing doxorubicin. Compounds 2, 6, 10 and 13 exhibited intermediate activity, while compounds 3, 7 and 12 had minimal effects. Docking studies suggest potential ADORA1 receptor interaction. Computational tools analyze stability and interaction with biological systems, revealing potential antitumor mechanisms. Conclusion: Green synthesis of diverse heterocycles yielded potent antitumor agents (compounds 9 & 14). DFT and Docking studies suggest interaction with ADORA1 receptor, a potential mechanism. This work explores the eco-friendly synthesis of various heterocycles from a piperidine-based 2-cyano-N‘-(4-(piperidin-1-yl)benzylidene)acetohydrazide (1) as a key scaffold. Synthesis of novel heterocyclic compounds containing piperidine moiety with potential as Antitumor agents. Gratifyingly, remarkably, compounds 9 and 14 showed the strongest cytotoxic activity, exceeding doxorubicin against four human cancer cell lines (HEPG-2, MCF-7, HCT-116 and PC-3).Compounds 2, 6, 10 and 13 exhibited intermediate activity, while compounds 3, 7 and 12 had minimal effects. Computational studies and counter surfaces of the novel compounds helped us clarify and interpret the compounds that have high and low anticancer activity. The physicochemical properties of the newly synthesized compounds were calculated using SwissADME web-based tool. The docking study of tested compounds 9 and 14 revealed that they bind more strongly to the ADORA1 receptor, suggesting that they may hold great promise as an anti-cancer therapy.
Effectiveness of Maternal Vaccination with mRNA COVID-19 Vaccine During Pregnancy Against COVID-19–Associated Hospitalization in Infants Aged <6 Months — 17 States, July 2021–January 2022
Creators: name: Mack, Elizabeth H.
name: Irby, Katherine
name: Chiotos, Kathleen
name: Bradford, Tamara T.
name: Walker, Tracie C.
name: Hobbs, Charlotte V.
name: Staat, Mary A.
name: Coates, Bria M.
name: Nofziger, Ryan A.
name: Randolph, Adrienne G.
name: Zinter, Matt S.
name: Levy, Emily R.
name: Gertz, Shira J.
name: Bhumbra, Samina S.
name: Price, Ashley M.
name: Cvijanovich, Natalie Z.
name: Tarquinio, Keiko M.
name: Sahni, Leila C.
name: Michelson, Kelly N.
name: Patel, Manish M.
name: Cullimore, Melissa L.
name: Overcoming COVID-19 Investigators
name: Newhams, Margaret M.
name: Polen, Kara N.
name: Kamidani, Satoshi
name: Pannaraj, Pia S.
name: Heidemann, Sabrina M.
name: Campbell, Angela P.
name: Smallcomb, Laura
name: Maddux, Aline B.
name: Gilboa, Suzanne M.
name: Bline, Katherine E.
name: Hume, Janet R.
name: Olson, Samantha M.
name: Schuster, Jennifer E.
name: Halasa, Natasha B.
name: Schwartz, Stephanie P.
name: Kong, Michele
name: Boom, Julie A.
name: Flori, Heidi R.
name: Cameron, Melissa A.
Publisher: name: Centers for Disease Control MMWR Office
Year: 2022

description:
COVID-19 vaccination is recommended for persons who are pregnant, breastfeeding, trying to get pregnant now, or who might become pregnant in the future, to protect them from COVID-19.§ Infants are at risk for life-threatening complications from COVID-19, including acute respiratory failure (1). Evidence from other vaccine-preventable diseases suggests that maternal immunization can provide protection to infants, especially during the high-risk first 6 months of life, through passive transplacental antibody transfer (2). Recent studies of COVID-19 vaccination during pregnancy suggest the possibility of transplacental transfer of SARS-CoV-2-specific antibodies that might provide protection to infants (3-5); however, no epidemiologic evidence currently exists for the protective benefits of maternal immunization during pregnancy against COVID-19 in infants. The Overcoming COVID-19 network conducted a test-negative, case-control study at 20 pediatric hospitals in 17 states during July 1, 2021-January 17, 2022, to assess effectiveness of maternal completion of a 2-dose primary mRNA COVID-19 vaccination series during pregnancy against COVID-19 hospitalization in infants. Among 379 hospitalized infants aged <6 months (176 with COVID-19 [case-infants] and 203 without COVID-19 [control-infants]), the median age was 2 months, 21% had at least one underlying medical condition, and 22% of case- and control-infants were born premature (<37 weeks gestation). Effectiveness of maternal vaccination during pregnancy against COVID-19 hospitalization in infants aged <6 months was 61% (95% CI = 31%-78%). Completion of a 2-dose mRNA COVID-19 vaccination series during pregnancy might help prevent COVID-19 hospitalization among infants aged <6 months.
Exts and Vertex Operators
Creators: name: Carlsson, Erik
name: Okounkov, Andrei
Publisher: name: arXiv
Year: 2008
Subjects: subject: Algebraic Geometry (math.AG)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 14C05 (Primary), 17B69 (Secondary)

description: The direct product of two Hilbert schemes of the same surface has natural K-theory classes given by the alternating Ext groups between the two ideal sheaves in question, twisted by a line bundle. We express the Chern classes of these virtual bundles in terms of Nakajima operators.
description: 21 pages, 0 figures
History dependence, memory and metastability in electron glasses
Creators: name: Mueller, Markus
name: Lebanon, Eran
Publisher: name: arXiv
Year: 2005
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We discuss the history dependence and memory effects which are observed in the out-of-equilibrium conductivity of electron glasses. The experiments can be understood by assuming that the local density of states retains a memory of the sample history. We provide analytical arguments for the consistency of this assumption, and discuss the saturation of the memory effect with increasing gate voltage change. This picture is bolstered by numerical simulations at zero temperature, which moreover demonstrate the incompressibility of the Coulomb glass on short timescales.
description: 4 pages, 1 figure
Midwest Welfare Program and Labor Force Participation
Creators: name: Huffman, Sonya Kostova
name: Huffman, Sonya Kostova
Publisher: name: Unknown
Year: 2001
Subjects: Labor and Human Capital

description: This paper examines family welfare and labor force participation of families potentially eligible for the new Temporary Assistance for Needy Families (TANF) program in the Midwest region. High wage rates and low unemployment rates decrease the probability of welfare participation. For these low-wealth families, labor supply is shown to be highly responsive to the wage rate.
The derived deformation theory of a point
Creators: name: Booth, Matt
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: 14B10, 14A30, 14B20, 18N40, 14F07

description: We provide a prorepresenting object for the noncommutative derived deformation problem of deforming a module $X$ over a differential graded algebra. Roughly, we show that the corresponding deformation functor is homotopy prorepresented by the dual bar construction on the derived endomorphism algebra of $X$. We specialise to the case when $X$ is one-dimensional over the base field, and introduce the notion of framed deformations, which rigidify the problem slightly and allow us to obtain derived analogues of the results of Ed Segal's thesis. Our main technical tool is Koszul duality, following Pridham and Lurie's interpretation of derived deformation theory. Along the way we prove that a large class of dgas are quasi-isomorphic to their Koszul double dual, which we interpret as a derived completion functor; this improves a theorem of Lu-Palmieri-Wu-Zhang. We also adapt our results to the setting of multi-pointed deformation theory, and furthermore give an analysis of universal prodeformations. As an application, we give a deformation-theoretic interpretation to Braun-Chuang-Lazarev's derived quotient.
description: 59 pages. This is an improvement of the first half of arXiv:1810.10060, split off for publication as a separate paper. v2: significant revisions. To appear in Mathematische Zeitschrift. arXiv admin note: text overlap with arXiv:1911.09626
Heat transport of electron-doped Cobaltates
Creators: name: Liu, Bin
name: Liang, Ying
name: Feng, Shiping
name: Chen, Wei Yeu
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: Within the t-J model, the heat transport of electron-doped cobaltates is studied based on the fermion-spin theory. It is shown that the temperature dependent thermal conductivity is characterized by the low temperature peak located at a finite temperature. The thermal conductivity increases monotonously with increasing temperature at low temperatures T $$ 0.1$J$, in qualitative agreement with experimental result observed from Na$_{x}$CoO$_{2}$ .
description: 4 pages, 1 fig, corrected typos, accepted for publication in Commun. Theor. Phys
Labeling Regulations and Segregation of First- and Second-Generation Genetically Modified Products: Innovation Incentives and Welfare Effects
Creators: name: Moschini, GianCarlo
name: Lapan, Harvey E.
name: Moschini, GianCarlo
name: Lapan, Harvey E.
Publisher: name: Unknown
Year: 2005
Subjects: subject: Research and Development/Tech Change/Emerging Technologies
subject: identity preservation
subject: labeling
subject: market failure
subject: product differentiation
subject: welfare

description: We review some of the most significant issues and results on the economic effects of genetically modified (GM) product innovation, with emphasis on the question of GM labeling and the need for costly segregation and identity preservation activities. The analysis is organized around an explicit model that can accommodate the features of both first-generation and second-generation GM products. The model accounts for the proprietary nature of GM innovations and for the critical role of consumer preferences vis-a-vis GM products, as well as for the impacts of segregation and identity preservation and the effects of a mandatory GM labeling regulation. We also investigate briefly a novel question in this setting, the choice of 'research direction' when both cost-reducing and quality-enhancing GM innovations are feasible.
Charged Rotating Black Holes on a 3-Brane
Creators: name: Aliev, A. N.
name: Gumrukcuoglu, A. E.
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We study exact stationary and axisymmetric solutions describing charged rotating black holes localized on a 3-brane in the Randall-Sundrum braneworld. The charges of the black holes are considered to be of two types, the first being an induced tidal charge that appears as an imprint of nonlocal gravitational effects from the bulk space and the second is a usual electric charge arising due to a Maxwell field trapped on the brane. We assume a special ansatz for the metric on the brane taking it to be of the Kerr-Schild form and show that the Kerr-Newman solution of ordinary general relativity in which the electric charge is superceded by a tidal charge satisfies a closed system of the effective gravitational field equations on the brane. It turns out that the negative tidal charge may provide a mechanism for spinning up the black hole so that its rotation parameter exceeds its mass. This is not allowed in the framework of general relativity. We also find a new solution that represents a rotating black hole on the brane carrying both charges. We show that for a rapid enough rotation the combined influence of the rotational dynamics and the local bulk effects of the "squared" energy momentum tensor on the brane distort the horizon structure of the black hole in such a way that it can be thought of as composed of non-uniformly rotating null circles with growing radii from the equatorial plane to the poles. We finally study the geodesic motion of test particles in the equatorial plane of a rotating black hole with tidal charge. We show that the effects of negative tidal charge tend to increase the horizon radius, as well as the radii of the limiting photon orbit, the innermost bound and the innermost stable circular orbits for both direct and retrograde motions of the particles.
description: RevTeX 4, 33 pages, 4 figures, new references added
Discovery of novel ULK1 inhibitors through machine learning-guided virtual screening and biological evaluation
Creators: name: Kong, Miao-Miao
name: Wei, Tao
name: Liu, Bo
name: Xi, Zi-Xuan
name: Ding, Jun-Tao
name: Liu, Xin
name: Li, Ke
name: Qin, Tian-Li
name: Qian, Zhen-Yong
name: Wu, Wen-Can
name: Wu, Jian-Zhang
name: Li, Wu-Lan
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified

description: Aim: Build a virtual screening model for ULK1 inhibitors based on artificial intelligence. Materials & methods: Build machine learning and deep learning classification models and combine molecular docking and biological evaluation to screen ULK1 inhibitors from 13 million compounds. And molecular dynamics was used to explore the binding mechanism of active compounds. Results & conclusion: Possibly due to less available training data, machine learning models significantly outperform deep learning models. Among them, the Naive Bayes model has the best performance. Through virtual screening, we obtained three inhibitors with IC50 of μM level and they all bind well to ULK1. This study provides an efficient virtual screening model and three promising compounds for the study of ULK1 inhibitors. The abnormally high expression of ULK1 kinase is closely related to various diseases such as tumors and its inhibitors have the prospect of treating related diseases. However, the research progress on ULK1 inhibitors is currently slow and only over 200 active inhibitors have been reported. Therefore, the discovery of novel ULK1 inhibitors is of great significance. The artificial intelligence-based virtual screening model can be used to quickly screen lead compounds from large databases. Currently, there is no artificial intelligence-based high-throughput screening model in the field of ULK1 inhibitors. Build machine learning and deep learning models for high-throughput virtual screening of ULK1 inhibitors and discover novel precursor compounds. Established deep learning and machine learning prediction models for ligand-based virtual screening. Compared with the deep learning model, machine learning models showed superior performance, which may be due to the limited training data. Among the 16 machine learning prediction models, NB-ECFP6 performed the best. By combining virtual screening models, 25 candidate compounds were selected from 13 million compounds. and three new ULK1 inhibitors with IC50 of μM level were obtained after kinase activity assay. This study provides an efficient virtual screening model based on machine learning for the study of ULK1 inhibitors. Three promising lead compounds were discovered and their modification is expected to produce new and efficient ULK1 inhibitors, which is of great significance for targeted ULK1 therapy.
Net Returns of Alternative Crops on Flood-Prone Land: Louisa County, Iowa, and Saline County Missouri
Creators: name: Kruse, John R.
name: Mitchell, Paul D.
name: Bouzaher, Aziz
name: Smith, Darnell B.
name: Kruse, John R.
name: Mitchell, Paul D.
name: Bouzaher, Aziz
name: Smith, Darnell B.
Publisher: name: Unknown
Year: 1995
Subjects: Crop Production/Industries

description: The profitability of planting flood tolerant crops in flood plains relative to traditional row crops is evaluated under different assumptions concerning flood frequency and the level of government crop subsidy. The alternative crops evaluated are short rotation woody crops and herbaceous energy crops. The analysis is conducted for two growing environments: Louisa County, Iowa and Saline County. Missouri. The economic indicator used to value the alternative scenarios is annualized net return per acre. This indicator can account for the significant time lags between planting and harvesting of the two alternative crops. The results indicate that row crops dominate the flood tolerant crops until flood frequency approaches 50 percent. The positive environmental benefits that would occur from converting land to flood tolerant crops could justify additional government subsidies to offset, at least in part, the higher net returns of traditional crops.
Beckmann, Joachim (hrsg.): Kirchliches Jahrbuch für die Evangelische Kirche in Deutschland 1969
Creators: name: Kg.
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 20 Nr. 4 (1971): Ökumenische Rundschau, Band 20, Heft 4
Harvesting the Greenhouse through Altered Land Management: Economic Potential and Market Design Challenges
Creators: name: Schneider, Uwe A.
name: McCarl, Bruce A.
name: Woodward, Richard T.
name: Schneider, Uwe A.
name: McCarl, Bruce A.
name: Woodward, Richard T.
Publisher: name: Unknown
Year: 2001
Subjects: subject: Land Economics/Use
subject: greenhouse gas emission mitigation market
subject: Agricultural Sector Model
subject: economic potential
subject: environmental policy design
subject: non-point source
subject: cropland heterogeneity
subject: transaction cost
subject: emission leakage

description: An Agricultural Sector Model is used to determine the economic potential of agricultural greenhouse gas emission reduction strategies within hypothetical emission mitigation markets. For a complete set of agricultural land management decisions, emissions and emission reductions of carbon dioxide, methane, and nitrous oxide are accounted for and simultaneously subjected to a wide range of carbon prices. The estimated, competitive emission abatement supply functions for major agricultural strategies are contrasted with two other commonly used measures of abatement potential: single strategy economic potential and technical potential. Specific agricultural production and market characteristics that further impact agriculture's mitigation potential are discussed.
The Yang-Lee zeros of the 1D Blume-Capel model on connected and non-connected rings
Creators: name: Almeida, Luis A. F.
name: Dalmazi, D.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We carry out a numerical and analytic analysis of the Yang-Lee zeros of the 1D Blume-Capel model with periodic boundary conditions and its generalization on Feynman diagrams for which we include sums over all connected and non-connected rings for a given number of spins. In both cases, for a specific range of the parameters, the zeros originally on the unit circle are shown to departure from it as we increase the temperature beyond some limit. The curve of zeros can bifurcate and become two disjoint arcs as in the 2D case. We also show that in the thermodynamic limit the zeros of both Blume-Capel models on the static (connected ring) and on the dynamical (Feynman diagrams) lattice tend to overlap. In the special case of the 1D Ising model on Feynman diagrams we can prove for arbitrary number of spins that the Yang-Lee zeros must be on the unit circle. The proof is based on a property of the zeros of Legendre Polynomials.
description: 19 pages, 5 figures
[Brev til DKNVS]
Creators: name: Hertzberg, Peder Harboe
name: Det Kongelige Norske Videnskabers Selskab (DKNVS)
Publisher: name: Unknown
Year: 1782

description: Kommenterer en skrift som han oversender
description: 2 brev. Polydoc nr. 1: 846. Polydoc nr. 2: 233.
A Study of the Factors that Influence Consumer Attitudes Toward Beef Products Using the Conjoint Market Analysis Tool
Creators: name: Mennecke, Brian
name: Townsend, Anthony M.
name: Hayes, Dermot J.
name: Lonergan, Steven
name: Mennecke, Brian
name: Townsend, Anthony M.
name: Hayes, Dermot J.
name: Lonergan, Steven
Publisher: name: Unknown
Year: 2006
Subjects: subject: Food Consumption/Nutrition/Food Safety
subject: Livestock Production/Industries
subject: conjoint market analysis
subject: consumer preferences
subject: country of origin
subject: steak quality
subject: traceability
subject: transactions costs

description: This study utilizes an analysis technique commonly used in marketing, the conjoint method, to examine the relative utilities of a set of beef steak characteristics considered by a national sample of 1,432 U.S. consumers, as well as additional localized samples representing undergraduate students at a business college and in an animal science department. The analyses indicate that among all respondents, region of origin is by far the most important characteristic; this is followed by animal breed, traceability, the animal feed used, and beef quality. Alternatively, the cost of cut, farm ownership, the non-use of growth promoters, and whether the product is guaranteed tender were the least important factors. Results for animal science undergraduates are similar to the aggregate results except that these students emphasized beef quality at the expense of traceability and the non-use of growth promoters. Business students also emphasized region of origin but then emphasized traceability and cost. The ideal steak for the aggregate group is from a locally produced choice Angus, fed a mixture of grain and grass that is traceable to the farm or origin. If the product was not produced locally respondents indicated that their preferred production states are, in order from most to least preferred, Iowa, Texas, Nebraska, and Kansas.
Stellar Kinematics and Populations of Early-Type Galaxies with the SAURON and OASIS Integral-Field Spectrographs
Creators: name: McDermid, R. M.
name: Bacon, R.
name: Kuntschner, H.
name: Emsellem, E.
name: Shapiro, K. L.
name: Bureau, M.
name: Cappellari, M.
name: Davies, R. L.
name: Falcon-Barroso, J.
name: Krajnovic, D.
name: Peletier, R. F.
name: Sarzi, M.
name: de Zeeuw, T.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We summarise the results and achievements of integral-field spectroscopy of early-type galaxies, observed as part of a survey using both the SAURON and OASIS spectrographs. From the perspective of integral-field spectroscopy, these otherwise smooth and featureless objects show a wealth of structure, both in their stellar kinematics and populations. We focus on the stellar content, and examine properties on both kiloparsec scales with SAURON, and scales of 100's of parsecs with OASIS. These complementary studies reveal two types of kinematically distinct components (KDCs), differing primarily in their intrinsic sizes. In previous studies, KDCs and their host galaxies have generally been found to be unremarkable in other aspects. We show that large KDCs, typical of the well-studied cases, indeed show little or no age differences with their host galaxy. The KDCs detected with the higher spatial-resolution of OASIS are intrinsically smaller and include, in contrast, a significant fraction of young stars. We speculate on the relationship between KDCs and their host galaxies, and the implications for young populations in early-type galaxies.
description: 20 pages, 6 figures. Invited talk, submitted to "Adaptive Optics-Assisted Integral-Field Spectroscopy", Rutten R.G.M., Benn C.R., Mendez J., eds., May 2005, La Palma (Spain), New Astr. Rev. For full resolution PS, see http://www.strw.leidenuniv.nl/~mcdermid/mcdermid_ao_workshop_20050830.ps.gz
PCEDNet : A Lightweight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds
Creators: name: Himeur, Chems-Eddine
name: Lejemble, Thibault
name: Pellegrini, Thomas
name: Paulin, Mathias
name: Barthe, Loic
name: Mellado, Nicolas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: In recent years, Convolutional Neural Networks (CNN) have proven to be efficient analysis tools for processing point clouds, e.g., for reconstruction, segmentation and classification. In this paper, we focus on the classification of edges in point clouds, where both edges and their surrounding are described. We propose a new parameterization adding to each point a set of differential information on its surrounding shape reconstructed at different scales. These parameters, stored in a Scale-Space Matrix (SSM), provide a well suited information from which an adequate neural network can learn the description of edges and use it to efficiently detect them in acquired point clouds. After successfully applying a multi-scale CNN on SSMs for the efficient classification of edges and their neighborhood, we propose a new lightweight neural network architecture outperforming the CNN in learning time, processing time and classification capabilities. Our architecture is compact, requires small learning sets, is very fast to train and classifies millions of points in seconds.
INSTITUTIONS AND THE VALUE OF NONPOINT SOURCE MEASUREMENT TECHNOLOGY: CARBON SEQUESTRATION IN AGRICULTURAL SOILS
Creators: name: Kurkalova, Lyubov A.
name: Kling, Catherine L.
name: Zhao, Jinhua
name: Kurkalova, Lyubov A.
name: Kling, Catherine L.
name: Zhao, Jinhua
Publisher: name: Unknown
Year: 2003
Subjects: subject: Environmental Economics and Policy
subject: Institutional and Behavioral Economics
subject: carbon sequestration
subject: green payment policy
subject: value of measurement technology

description: The development of technologies for accurate field-scale carbon assessment allows the implementation of more efficient policies than can be implemented in their absence. We estimate the value of accurate measurement technology by estimating the gains from implementing a more efficient policy, one that targets carbon reductions at the field scale but requires accurate field-scale measurement technology, relative to a practice-based policy that can be implemented in the absence of such technology. We find large cost savings due to improved targeting of conservation tillage subsidies for the state of Iowa. The cost savings depend significantly on the choice of baseline carbon, while the ability of the government to cost discriminate has little impact on the value of accurate measurement technology.
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections
Creators: name: Attard, Daniel
name: Bajada, Josef
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In recent years, significant advancements have been made in the field of autonomous driving with the aim of increasing safety and efficiency. However, research that focuses on tractor-trailer vehicles is relatively sparse. Due to the physical characteristics and articulated joints, such vehicles require tailored models. While turning, the back wheels of the trailer turn at a tighter radius and the truck often has to deviate from the centre of the lane to accommodate this. Due to the lack of publicly available models, this work develops truck and trailer models using the high-fidelity simulation software CARLA, together with several roundabout scenarios, to establish a baseline dataset for benchmarks. Using a twin-q soft actor-critic algorithm, we train a quasi-end-to-end autonomous driving model which is able to achieve a 73% success rate on different roundabouts.
Study of the $η$N scattering amplitude through the associated photoproduction of $ϕ$- and $η$-mesons in the region of the N*(1535) resonance
Creators: name: Lutz, Matthias F. M.
name: Soyeur, Madeleine
Publisher: name: arXiv
Year: 2005
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The $γp \to ϕηp$ reaction is studied in the kinematic region where the $ηp$ final state originates dominantly from the decay of the N*(1535) resonance. The threshold laboratory photon energy for this reaction (at the peak of the S11 resonance) is $E_γ^{Lab} = $3 GeV. We will discuss it somewhat above threshold, at $E_γ^{Lab}\simeq 4-5$ GeV, in order to reach lower (absolute) values of the squared 4-momentum transfer from the initial photon to the final $ϕ$-meson. In these conditions, we expect the t-channel $π^0$- and $η$-meson exchanges to drive the dynamics underlying the $γp \to ϕηp$ process. The initial photon dissociates into the final $ϕ$-meson and a virtual pseudoscalar meson ($π^0$ or $η$). The virtual pseudoscalar meson scatters from the proton target to produce the final $ηp$ state. The $π^0 p \to ηp$ and $ηp \to ηp$ amplitudes are derived in the framework of a coupled-channel effective field theory of meson-baryon scattering. We found the $η$-meson exchange to be largely dominant. The $η$-$π^0$ interference is of the order of $20 - 30 %$. The sign of this term is not known and has a significant influence on the results. The $πN\to ηN$ amplitude being largely determined by data on the $π^- p \to ηn$ reaction, we found that the $γp \to ϕηp$ reaction cross section is rather directly related to the $η$-nucleon scattering amplitude in the N*(1535) resonance region. Accurate data on the $γp \to ϕηp$ process would therefore put additional constraints on this still poorly known amplitude.
description: 13 pages, 8 figures
Dust Distribution in Gas Disks II: Self Induced Ring Formation Through a Clumping Instability
Creators: name: Klahr, H.
name: Lin, D. N. C.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Debris rings of dust are found around young luminous stars such as HR4796A and HD141569. Some of these entities have sharp edges and gaps which have been interpreted as evidence for the presence of shepherding and embedded planets. Here we show that gaps and sharp edges in the debris disks of dust can also be spontaneously self generated if they are embedded in optically thin regions of gaseous disks. This clumping instability arises in regions where an enhancement in the dust density leads to local gas temperature and pressure increases. Consequently, the relative motion between the gas and the dust is modified. The subsequent hydrodynamic drag on the dust particles leads to further enhancement of their concentration. We show that this process is linearly unstable and leads to the formation of ring-like structures within the estimated life time of such young objects. Once the gas is removed (e.g. by photo evaporation) the structures are ``frozen'' and will persist, even when the gas might not be observable anymore.
description: 24 pages, 6 figures, ApJ in press
The Uruguay Round of GATT: Potential Opportunities for Egypt
Creators: name: Oerter, Karen
name: Meyers, William H.
name: Oerter, Karen
name: Meyers, William H.
Publisher: name: Unknown
Year: 1995
Subjects: International Relations/Trade

description: This paper addresses the agricultural export opportunities that may be opened to Egypt due to the liberalization of world agricultural trade. Specifically, this paper discusses the effects of the key elements (market access domestic support, and export competition) of the Uruguay Round General Agreement on Tariffs and Trade (GATT) on world agricultural trade in rice, cotton, potatoes, tomatoes, onions, oranges and dates, and the potential trade opportunities that may be made available for countries such as Egypt as a result of implementing the agreement.
"That time of the month" : the history of PMS research in Vancouver 1983-1997
Creators: name: Clark, Allison Sandra
Publisher: name: University of British Columbia
Year: 2009

description: This thesis examines how the women's movement of the 1960s and 1970s influenced scholarship in the social sciences, and how the feminism growing out of this movement affected premenstrual syndrome (PMS) research. Since the 1980s social science paradigms guiding P M S research have begun to consider how biology and the environment mutually influence one another to produce premenstrual changes. The work examined in this thesis uses feminism to challenge traditional scientific approaches to PMS, including claims o f "objectivity," negative evaluations of menstrual changes in women, the claim that women experience natural cycles and men do not, and the belief that the expression of anger contradicts the feminine role. The research herein is based on all psychology research on PMS produced in the greater Vancouver area during the 1980s and 1990s. The knowledge that has been constructed about PMS through social sciences research also contributes to a common narrative about gender. This narrative holds that femininity and masculinity are not only linked to concepts of biological sex but also to concepts of culture that are heavily influenced by power relationships. The research examined here contributes to this narrative by challenging traditional theories about women's nature and by implementing research methods that add to our understanding of the way that cultural values influence research and knowledge production. The image of women as passive victims of "that time of the month" has been called into question by an image o f women that takes society and culture into account when explaining "women's nature."