cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
SO(2)-Equivariant Downwash Models for Close Proximity Flight
Creators: name: Smith, H.
name: Shankar, A.
name: Gielis, J.
name: Blumenkamp, J.
name: Prorok, A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Multirotors flying in close proximity induce aerodynamic wake effects on each other through propeller downwash. Conventional methods have fallen short of providing adequate 3D force-based models that can be incorporated into robust control paradigms for deploying dense formations. Thus, learning a model for these downwash patterns presents an attractive solution. In this paper, we present a novel learning-based approach for modelling the downwash forces that exploits the latent geometries (i.e. symmetries) present in the problem. We demonstrate that when trained with only 5 minutes of real-world flight data, our geometry-aware model outperforms state-of-the-art baseline models trained with more than 15 minutes of data. In dense real-world flights with two vehicles, deploying our model online improves 3D trajectory tracking by nearly 36% on average (and vertical tracking by 56%).
Perturbations in Horndeski theory above anisotropic cosmological background
Creators: name: Mironov, S.
name: Shtennikova, A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Considering an anisotropic cosmological background is an interesting and simultaneously challenging problem of theoretical physics, since we not only assume a high degree of anisotropy in the early stages of the Universe, but also observe it to a small degree until now. In this paper we have constructed the unconstrained action for the perturbations above Bianchi I type background in the most general scalar-tensor theory of gravity, the Horndeski theory, and evaluate the effect of the deviation from the anisotropic background on the previously established stable solution obtained in previous works.
Synthesis and Characterization of Novel Substituted and Cyclic Benzoquinone Derivatives
Creators: name: Ibis, Cemil
name: Ayla, Sibel Sahinler
name: Topaloglu, Esra
name: Yavuz, Senol
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Novel substituted benzoquinone compounds were synthesized from the reactions of p-chloranil and p-fluoranil with some thiols, amines and diols in different reaction media. Interesting cyclic compounds like crown ether structure were obtained. The structures of all compounds were characterized by spectroscopic methods (FT-IR, 1H NMR, 13C NMR, MS) and microanalysis.
Non-equilibrium dynamics of spin-lattice coupling
Creators: name: Ueda, Hiroki
name: Mankowsky, Roman
name: Paris, Eugenio
name: Sander, Mathias
name: Deng, Yunpei
name: Liu, Biaolong
name: Leroy, Ludmila
name: Nag, Abhishek
name: Skoropata, Elizabeth
name: Ukleev, Chennan Wang Victor
name: Perren, Gérard Sylvester
name: Dössegger, Janine
name: Gurung, Sabina
name: Abreu, Elsa
name: Savoini, Matteo
name: Kimura, Tsuyoshi
name: Patthey, Luc
name: Razzoli, Elia
name: Lemke, Henrik Till
name: Johnson, Steven Lee
name: Staub, Urs
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Interactions between the different degrees of freedom form the basis of many manifestations of intriguing physics in condensed matter. In this respect, quantifying the dynamics of normal modes that themselves arise from these interactions and how they interact with other excitations is of central importance. Of the different types of coupling that are often important, spin-lattice coupling is relevant to several sub-fields of condensed matter physics; examples include spintronics, high-TC superconductivity, and topological materials. While theories of materials where spin-lattice coupling is relevant can sometimes be used to infer the magnitude and character of this interaction, experimental approaches that can directly measure it are rare and incomplete. Here we use time-resolved X-ray diffraction to directly access the spin-lattice coupling by measuring both ultrafast atomic motion and the associated spin dynamics following the excitation of a coherent electromagnon by an intense THz pulse in a multiferroic hexaferrite. Comparing the dynamics of the two different components, one striking outcome is the different phase shifts relative to the driving field. This phase shift provides insight into the excitation process of such a coupled mode. This direct observation of combined lattice and magnetization dynamics paves the way to access the mode-selective spin-lattice coupling strength, which remains a missing fundamental parameter for ultrafast control of magnetism and is relevant to a wide variety of correlated electron physics.
description: 4 figures,
Frequency Regulation with Storage: On Losses and Profits
Creators: name: Lauinger, Dirk
name: Vuille, François
name: Kuhn, Daniel
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: General Economics (econ.GN)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Economics and business

description: Low-carbon societies will need to store vast amounts of electricity to balance intermittent generation from wind and solar energy, for example, through frequency regulation. Here, we derive an analytical solution to the decision-making problem of storage operators who sell frequency regulation power to grid operators and trade electricity on day-ahead markets. Mathematically, we treat future frequency deviation trajectories as functional uncertainties in a receding horizon robust optimization problem. We constrain the expected terminal state-of-charge to be equal to some target to allow storage operators to make good decisions not only for the present but also the future. Thanks to this constraint, the amount of electricity traded on day-ahead markets is an implicit function of the regulation power sold to grid operators. The implicit function quantifies the amount of power that needs to be purchased to cover the expected energy loss that results from providing frequency regulation. We show how the marginal cost associated with the expected energy loss decreases with roundtrip efficiency and increases with frequency deviation dispersion. We find that the profits from frequency regulation over the lifetime of energy-constrained storage devices are roughly inversely proportional to the length of time for which regulation power must be committed.
Polyethylene glycol in water: Simple, efficient, and catalyst-free synthesis of 4H-pyran derivatives
Creators: name: Dattatray N. Survase
name: Chavan, Hemant V.
name: Sakharam B. Dongare
name: Vasant B. Helavi
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: A green, one-pot, multicomponent method for the synthesis of diverse library of 4H-pyran derivatives such as 4-phenyl-4H-pyrans, spirochromenes, and dihydropyrano[3,2-c]chromines was developed using polyethylene glycol (PEG-600) as promoting reaction medium in water. The 4-phenyl-4H-pyran dihydropyrano[3,2-c]chromine derivatives were synthesized by a three-component reaction of aromatic aldehyde, malononitrile, and cyclic 1,3-dione/4-hydroxy coumarin at room temperature and reflux respectively. The promising points for the present methodology are efficiency, generality, high yield, short reaction time, cleaner reaction profile, ease of product isolation, potential to recycle reaction medium, and agreement with green chemistry protocols, making it a useful and attractive process for the synthesis of 4H-pyran derivatives.
Bosonic excitation spectra of superconducting $\mathrm{Bi_2Sr_2CaCu_2O_{8+δ}}$ and $\mathrm{YBa_2Cu_3O_{6+x}}$ extracted from scanning tunneling spectra
Creators: name: Gozlinski, Thomas
name: Henn, Mirjam
name: Wolf, Thomas
name: Tacon, Matthieu Le
name: Schmalian, Jörg
name: Wulfhekel, Wulf
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: A detailed interpretation of scanning tunneling spectra obtained on unconventional superconductors enables one to gain information on the pairing boson. Decisive for this approach are inelastic tunneling events. Due to the lack of momentum conservation in tunneling from or to the sharp tip, those are enhanced in the geometry of a scanning tunneling microscope compared to planar tunnel junctions. This work extends the method of obtaining the bosonic excitation spectrum by deconvolution from tunneling spectra to nodal $d$-wave superconductors. In particular, scanning tunneling spectra of slightly underdoped $\mathrm{Bi_2Sr_2CaCu_2O_{8+δ}}$ with a $T_c$ of $82\,\mathrm{K}$ and optimally doped $\mathrm{YBa_2Cu_3O_{6+x}}$ with a $T_c$ of $92\,\mathrm{K}$ reveal a resonance mode in their bosonic excitation spectrum at $Ω_\mathrm{res} \approx 63\,\mathrm{meV}$ and $Ω_\mathrm{res} \approx 61\,\mathrm{meV}$ respectively. In both cases, the overall shape of the bosonic excitation spectrum is indicative of predominant spin scattering with a resonant mode at $Ω_\mathrm{res}<2Δ$ and overdamped spin fluctuations for energies larger than $2Δ$. To perform the deconvolution of the experimental data, we implemented an efficient iterative algorithm that significantly enhances the reliability of our analysis.
Additional file 2 of Lnc-GULP1–2:1 affects granulosa cell proliferation by regulating COL3A1 expression and localization
Creators: name: Yao, Guidong
name: Kong, Yue
name: Yang, Guang
name: Kong, Deqi
name: Xu, Yijiang
name: He, Jiahuan
name: Xu, Ziwen
name: Bai, Yucheng
name: Fan, Huiying
name: He, Qina
name: Sun, Yingpu
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 2: Supplementary Table 1. The sequences of primers used for real-time PCR
Polyethylene Glycol in Water: Simple, Efficient and Catalyst-Free Synthesis of 4H-Pyran Derivatives
Creators: name: Dattatray N. Survase
name: Chavan, Hemant V.
name: Sakharam B. Dongare
name: Vasant B. Helavi
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: A green, one-pot, multicomponent method for the synthesis of diverse library of 4H-pyran derivatives such as 4-phenyl-4H-pyrans, spirochromenes and dihydropyrano[3,2-c]chromines was developed using PEG-600 as promoting reaction medium in water. The 4-phenyl-4H-pyran, dihydropyrano[3,2-c]chromine derivatives were synthesized by a three component reaction of an aromatic aldehyde, malononitrile and cyclic 1,3-dione/4-Hydroxy coumarin at room temperature and reflux respectively. The promising points for present methodology are efficiency, generality, high yield, short reaction time, cleaner reaction profile, ease of product isolation, potential to recycle reaction medium and agreement with green chemistry protocols, making it a useful and attractive process for the synthesis of 4H-pyran derivatives.
Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition
Creators: name: Louloudakis, Nikolaos
name: Gibson, Perry
name: Cano, José
name: Rajan, Ajitha
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Software Engineering (cs.SE)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: When deploying Deep Neural Networks (DNNs), developers often convert models from one deep learning framework to another (e.g., TensorFlow to PyTorch). However, this process is error-prone and can impact target model accuracy. To identify the extent of such impact, we perform and briefly present a differential analysis against three DNNs widely used for image recognition (MobileNetV2, ResNet101, and InceptionV3) converted across four well-known deep learning frameworks (PyTorch, Keras, TensorFlow (TF), and TFLite), which revealed numerous model crashes and output label discrepancies of up to 100%. To mitigate such errors, we present a novel approach towards fault localization and repair of buggy deep learning framework conversions, focusing on pre-trained image recognition models. Our technique consists of four stages of analysis: 1) conversion tools, 2) model parameters, 3) model hyperparameters, and 4) graph representation. In addition, we propose various strategies towards fault repair of the faults detected. We implement our technique on top of the Apache TVM deep learning compiler, and we test it by conducting a preliminary fault localization analysis for the conversion of InceptionV3 from TF to TFLite. Our approach detected a fault in a common DNN converter tool, which introduced precision errors in weights, reducing model accuracy. After our fault localization, we repaired the issue, reducing our conversion error to zero.
description: 5 pages, 3 figures, 1 table
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models
Creators: name: Louloudakis, Nikolaos
name: Gibson, Perry
name: Cano, José
name: Rajan, Ajitha
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Software Engineering (cs.SE)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Image recognition tasks typically use deep learning and require enormous processing power, thus relying on hardware accelerators like GPUs and TPUs for fast, timely processing. Failure in real-time image recognition tasks can occur due to sub-optimal mapping on hardware accelerators during model deployment, which may lead to timing uncertainty and erroneous behavior. Mapping on hardware accelerators is done using multiple software components like deep learning frameworks, compilers, and device libraries, that we refer to as the computational environment. Owing to the increased use of image recognition tasks in safety-critical applications like autonomous driving and medical imaging, it is imperative to assess their robustness to changes in the computational environment, as the impact of parameters like deep learning frameworks, compiler optimizations, and hardware devices on model performance and correctness is not yet well understood.
 In this paper we present a differential testing framework, DeltaNN, that allows us to assess the impact of different computational environment parameters on the performance of image recognition models during deployment, post training. DeltaNN generates different implementations of a given image recognition model for variations in environment parameters, namely, deep learning frameworks, compiler optimizations and hardware devices and analyzes differences in model performance as a result. Using DeltaNN, we conduct an empirical study of robustness analysis of three popular image recognition models using the ImageNet dataset. We report the impact in terms of misclassifications and inference time differences across different settings. In total, we observed up to 100% output label differences across deep learning frameworks, and up to 81% unexpected performance degradation in terms of inference time, when applying compiler optimizations.
description: 11 pages, 10 figures, 2 tables
Linearizing frequency shift of current modulated quantum cascade lasers
Creators: name: Baer, Matthias
name: Beck, Benedikt
name: Schmauss, Bernhard
Publisher: name: Zenodo
Year: 2018
Subjects: quantum cascade laser qcl static chirp

description: Poster published at the FLAIR 2018 conference. The linear chirp of a QCL was modelled by assuming a 1. order low-pass characteristic.
description: {"references": ["Schwaighofer, M. Brandstetter, B. Lendl, Quantum cascade lasers (QCLs) in biomedical spectroscopy, Chem. Soc. Rev., 2017, 46, 5903-5924, DOI 10.1039/C7CS00403F", "A. Bismuto, Y. Bidaux, C. Tardy, R. Terazzi, T. Gresch, J. Wolf, S. Blaser, A. Muller, J. Faist, Extended tuning of mid-ir quantum cascade lasers using integrated resistive heaters, Opt. Express 23, 29715-29722 (2015), DOI 10.1364/OE.23.029715"]}
On the recent find of a centurial stone in Chester
Creators: name: Shrubsole, George W
Publisher: name: Archaeology Data Service
Year: 2018

description: Journal of the Chester Archaeological Society, 3, 45-47
description: Article describing a Roman centurial stone found during excavations in Eastgate Street, Chester. The three purposes such stones were intended to serve are summarised, with reference to others known from York and Manchester. The inscription from the recently discovered Chester stone is transcribed and expanded. LD
Additional file 1 of Lnc-GULP1–2:1 affects granulosa cell proliferation by regulating COL3A1 expression and localization
Creators: name: Yao, Guidong
name: Kong, Yue
name: Yang, Guang
name: Kong, Deqi
name: Xu, Yijiang
name: He, Jiahuan
name: Xu, Ziwen
name: Bai, Yucheng
name: Fan, Huiying
name: He, Qina
name: Sun, Yingpu
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 1. Sequence and chromosome localization information of Lnc-GULP1–2:1
Arrhenius law for interacting diffusive systems
Creators: name: Kumar, Vishwajeet
name: Pal, Arnab
name: Shpielberg, Ohad
Publisher: name: arXiv
Year: 2023
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Biological Physics (physics.bio-ph)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Finding the mean time it takes for a particle to escape from a meta-stable state due to thermal fluctuations is a fundamental problem in physics, chemistry and biology. For weak thermal noise, the mean escape time is captured by the Arrhenius law (AL). Despite its ubiquity in nature and wide applicability in practical engineering, the problem is typically limited to single particle physics. Finding a generalized form of the AL for interacting particles has eluded solution for a century. Here, we tackle this outstanding problem and generalize the AL to a class of interacting diffusive systems within the framework of the macroscopic fluctuation theory. The generalized AL is shown to conform a non-trivial yet elegant form that depends crucially on the particle density and inter-particle interactions. We demonstrate our results for the paradigmatic exclusion and inclusion processes to underpin the key effects of repulsive and attractive interactions. Intriguingly, we show how to manipulate the mean escape time using not only temperature, but also the particle density.
REPRODUKTIV YOSHDAGI AYOLLARDA GENITAL PAPILLOMAVIRUS INFEKSIYASINI ERTA TASHXISLASHNING DOLZARBLIGI VA MUAMMOLARI
Creators: name: Raxmanova, Nozima
name: Aripov, Orifjon
Publisher: name: Zenodo
Year: 2024

description: Taqdim etilgan ushbu qoʻlyozmadabugungi kunda nafaqat tibbiy, balki yuzaga keladigan asoratlari tufayli global ijtimoiy va iqtisodiy yukka aylanib borayotgan HPV virusi uning tashxislash usullari, dolzarbligi va muammolari xususida qisqacha bayon qilingan. Qoʻlyzmada asosan oxirgi oʻn yillikda HPV ni oʻrganish borasida olib borilgan ilmiy izlanishlarning nufuzli mualliflar tomonidan tavsiflangan asosli va ishonchli ma’lumotlarining tahlili oʻtkazildi.
A Roman centurion of the 20th Legion
Creators: name: Taylor, Henry
Publisher: name: Archaeology Data Service
Year: 2018

description: Journal of the Chester Archaeological Society, 20, 215-219
description: Describes a Roman tombstone, on display at the Museum of Local Antiquities in Colchester. The stone depicts a centurion in full dress uniform; an inscription indicates that it was erected to the memory of a member of Legio XX, which formed part of the original Roman invasion in AD 43 and had its headquarters at Chester. LD
iSLAM: Imperative SLAM
Creators: name: Fu, Taimeng
name: Su, Shaoshu
name: Lu, Yiren
name: Wang, Chen
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Simultaneous Localization and Mapping (SLAM) stands as one of the critical challenges in robot navigation. A SLAM system often consists of a front-end component for motion estimation and a back-end system for eliminating estimation drifts. Recent advancements suggest that data-driven methods are highly effective for front-end tasks, while geometry-based methods continue to be essential in the back-end processes. However, such a decoupled paradigm between the data-driven front-end and geometry-based back-end can lead to sub-optimal performance, consequently reducing the system's capabilities and generalization potential. To solve this problem, we proposed a novel self-supervised imperative learning framework, named imperative SLAM (iSLAM), which fosters reciprocal correction between the front-end and back-end, thus enhancing performance without necessitating any external supervision. Specifically, we formulate the SLAM problem as a bilevel optimization so that the front-end and back-end are bidirectionally connected. As a result, the front-end model can learn global geometric knowledge obtained through pose graph optimization by back-propagating the residuals from the back-end component. We showcase the effectiveness of this new framework through an application of stereo-inertial SLAM. The experiments show that the iSLAM training strategy achieves an accuracy improvement of 22% on average over a baseline model. To the best of our knowledge, iSLAM is the first SLAM system showing that the front-end and back-end components can mutually correct each other in a self-supervised manner.
description: The paper has been accepted by IEEE Robotics and Automation Letters (RA-L)
Physics-constrained Attack against Convolution-based Human Motion Prediction
Creators: name: Duan, Chengxu
name: Zhang, Zhicheng
name: Liu, Xiaoli
name: Dang, Yonghao
name: Yin, Jianqin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Human motion prediction has achieved a brilliant performance with the help of convolution-based neural networks. However, currently, there is no work evaluating the potential risk in human motion prediction when facing adversarial attacks. The adversarial attack will encounter problems against human motion prediction in naturalness and data scale. To solve the problems above, we propose a new adversarial attack method that generates the worst-case perturbation by maximizing the human motion predictor's prediction error with physical constraints. Specifically, we introduce a novel adaptable scheme that facilitates the attack to suit the scale of the target pose and two physical constraints to enhance the naturalness of the adversarial example. The evaluating experiments on three datasets show that the prediction errors of all target models are enlarged significantly, which means current convolution-based human motion prediction models are vulnerable to the proposed attack. Based on the experimental results, we provide insights on how to enhance the adversarial robustness of the human motion predictor and how to improve the adversarial attack against human motion prediction.
1,2,4-triazole-5(4H)-one based novel peripherally tetrasubstituted metal-free and metallophthalocyanines: Synthesis, characterization, and electrochemical and spectroelectrochemical properties
Creators: name: Ayşe Aktaş
name: Ünlüer, Dilek
name: Kobak, Rabia Zeynep Uslu
name: İrfan Acar
name: Düğdü, Esra
name: Atıf Koca
name: Kantekin, Halit
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biochemistry
subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
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: FOS: Biological sciences

description: In this study, the synthesis of metal-free and metallophthalocyanines containing four 4-[2-(4-methoxyphenyl)ethyl]-5-methyl-2,4-dihydro-3H-1,2,4-triazol-3-one substituents at the peripheral positions were reported. The structures of compounds were characterized using IR, 1H NMR, 13C NMR, mass spectroscopies, and UV-Vis. Electrochemistry of the complexes were studied with voltammetric and in situ spectroelectrochemical measurements in different electrolytic systems. MPcs having redox inactive metal centers (H+, Zn+2, Cu+2, and Ni+2) just illustrated similar Pc-based electron transfer reactions. Due to the different effective nuclear charge of the ions in the core of Pc ring, small potential shifts and reversibility differences were observed between the redox processes of these complexes. MPcs having redox-active metal centers (Co+2 and TiO+2) gave metal-based electron transfers in addition to Pc-based processes. Electrolyte type of the measurement system significantly influenced oxidation behaviors of CoPc due to the coordination of polar coordinating solvent molecules to the oxidized CoIII center of CoPc. Spectra and color of the electrogenerated MPc species were determined with in situ spectroelectrochemical measurements.
Winding Number Statistics for Chiral Random Matrices: Averaging Ratios of Parametric Determinants in the Orthogonal Case
Creators: name: Hahn, Nico
name: Kieburg, Mario
name: Gat, Omri
name: Guhr, Thomas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We extend our recent study of winding number density statistics in Gaussian random matrix ensembles of the chiral unitary (AIII) and chiral symplectic (CII) classes. Here, we consider the chiral orthogonal (BDI) case which is the mathematically most demanding one. The key observation is that we can map the topological problem on a spectral one, rendering the toolbox of random matrix theory applicable. In particular, we employ a technique that exploits supersymmetry structures without reformulating the problem in superspace.
Leche House, Chester
Creators: name: Simpson, Frank
Publisher: name: Archaeology Data Service
Year: 2018

description: Journal of the Chester Archaeological Society, 21, 5-22
description: Leche House on Watergate Street in Chester was considered to have been the town house of the Leches of Carden, erected in 1570. However, the author contends that the architectural details of the building do not support this view. The history of the Leches is recounted and documentary evidence is presented which suggests the house was connected with a different branch of the family. The house itself, including fixtures and decoration, is then described in some detail. A second house to the rear of the main property, 'Lion House', is also described. LD
1,2,4-triazole-5(4H)-one based novel peripherally tetra substituted metal-free and metallophthalocyanines: Synthesis, Characterization and Electrochemical and Spectroelectrochemical Properties
Creators: name: Ayşe Aktaş
name: Ünlüer, Dilek
name: Kobak, Rabia Zeynep Uslu
name: İrfan Acar
name: Düğdü, Esra
name: Atıf Koca
name: Kantekin, Halit
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: In this study, the synthesis of metal-free and metallophthalocyanines containing four 4-[2-(4-methoxyphenyl)ethyl]−5-methyl-2,4-dihydro-3H-1,2,4-triazol-3-one substituents at the peripheral positions were reported. The structures of compounds were characterized using IR, 1H NMR, 13C NMR, mass spectroscopies and UV-Vis. Electrochemistry of the complexes were studied with voltammetric and in situ spectroelectrochemical measurements in different electrolytic systems. MPcs having redox inactive metal centers (H+, Zn+2, Cu+2, and Ni+2) just illustrated similar Pc based electron transfer reactions. Due to the different effective nuclear charge of the ions in the core of Pc ring, small potential shifts and reversibility differences were observed between the redox processes of these complexes. MPcs having redox active metal centers (Co+2 and TiO+2) gave metal based electron transfers in addition to Pc based processes. Electrolyte type of the measurement system significantly influenced oxidation behaviors of CoPc due to the coordinating of polar coordinating solvent molecules to the oxidized CoIII center of CoPc. Spectra and color of the electrogenerated MPc species were determined with in situ spectroelectrochemical measurements.
Shear viscosity expression for a graphene system in relaxation time approximation
Creators: name: Aung, Cho Win
name: Win, Thandar Zaw
name: Khandal, Gaurav
name: Ghosh, Sabyasachi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Theory (nucl-th)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We have gone through the detailed microscopic calculation of the shear viscosity of a 2-dimensional graphene system in the relaxation time approximation-based kinetic theory framework. After getting its final expressions, we compared it with the shear viscosity expressions of other possible 2-dimensional as well as 3-dimensional nonrelativistic and ultra-relativistic fluid systems. The aim of the comparison is to reveal how their different one-body dispersion relations affect their many-body fluid properties like shear viscosity and the viscosity to entropy density ratio. It is also aimed to reveal the 3-dimension to the 2-dimension transformation of their mathematical structures. We have numerically explored the differences in their order of magnitude and dependence on thermodynamical parameters-temperature and chemical potential. Marking two thermodynamical domains-Dirac fluid and Fermi liquid-for a 2-dimensional graphene system, we have noticed that shear viscosity, entropy density as well as their ratios decrease toward saturated values when one goes from Fermi liquid to Dirac fluid domain. When one shifts from mili-electron volt scales of temperature and chemical potential in condensed matter physics location to their mega-electron volt scales in high energy physics location, then the same results may be expected for hot quark matter case, where the transition from the neutron star to early universe domains may be considered as Fermi liquid to Dirac fluid transition.
description: 14 pages, 7 figures
Synthesis and characterization of pyridine-4-carboxylic acid-functionalized Fe3O4 nanoparticles as a magnetic catalyst for the synthesis of tetrahydrobenzo[b]pyran derivatives under solvent-free conditions
Creators: name: Asghari, Sakineh
name: Mohammadnia, Majid
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: Pyridine-4-carboxylic acid (PYCA)-functionalized Fe3O4 nanoparticles as an organic–inorganic hybrid heterogeneous catalyst was fabricated and characterized by Fourier transform infrared, X-ray powder diffraction, thermogravimetric analysis, transmission electron microscopy, scanning electron microscope, and VSM techniques. The catalytic activity of the magnetic catalyst was probed through one-pot synthesis of tetrahydrobenzo[b]pyran derivatives from three-component reactions of aromatic aldehydes, malononitrile, and dimedone under solvent-free conditions. Simple procedure, high yields, short reaction time, and environmentally benign method are advantages of this protocol. The catalyst was readily separated using an external magnet and was reusable without significant loss of its catalytic efficiency.
Synthesis and characterization of pyridine-4-carboxylic acid functionalized Fe3O4 nanoparticles as a magnetic catalyst for synthesis of tetrahydrobenzo[b]pyran derivatives under solvent-free conditions
Creators: name: Asghari, Sakineh
name: Mohammadnia, Majid
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: Pyridine-4-carboxylic acid (PYCA) functionalized Fe3O4 nanoparticles as an organic-inorganic hybrid heterogeneous catalyst was fabricated and characterized by FT-IR, XRD, TGA, TEM, SEM and VSM techniques. The catalytic activity of the magnetic catalyst was probed through one-pot synthesis of tetrahydrobenzo[b]pyran derivatives from three component reactions of aromatic aldehydes, malononitrile and dimedone under solvent-free conditions. Simple procedure, high yields, short reaction time and environmentally benign method are advantages of this protocol. The catalyst was readily separated using an external magnet and reusable without significant loss of its catalytic efficiency.
Quantum Neural Estimation of Entropies
Creators: name: Goldfeld, Ziv
name: Patel, Dhrumil
name: Sreekumar, Sreejith
name: Wilde, Mark M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Information Theory (cs.IT)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Entropy measures quantify the amount of information and correlation present in a quantum system. In practice, when the quantum state is unknown and only copies thereof are available, one must resort to the estimation of such entropy measures. Here we propose a variational quantum algorithm for estimating the von Neumann and Rényi entropies, as well as the measured relative entropy and measured Rényi relative entropy. Our approach first parameterizes a variational formula for the measure of interest by a quantum circuit and a classical neural network, and then optimizes the resulting objective over parameter space. Numerical simulations of our quantum algorithm are provided, using a noiseless quantum simulator. The algorithm provides accurate estimates of the various entropy measures for the examples tested, which renders it as a promising approach for usage in downstream tasks.
description: 14 pages, 2 figures; see also independent works of Shin, Lee, and Jeong at arXiv:2306.14566v1 and Lee, Kwon, and Lee at arXiv:2307.13511v2
title: Self-Reported Attitudes, Concerns, and Behaviors Related to Global Environmentalism: Can a Mandatory Class Make a Difference?
Creators: name: Mehalic, Erin
Publisher: name: Old Dominion University Libraries
Year: 2006

description: The purpose of the study was to determine what initial attitudes and behaviors first-year college students had about the environment and how they changed as a result of a taking a required global environmentalism course. A second goal in this study was to learn whether there were differences in environmental attitudes and behaviors based on gender and ethnicity. Participants in this study were first-year students at Old Dominion University enrolled in a mandatory general education course, New Portals to Appreciating the Global Environment ( GEN 101 ). An online survey was completed that measured the participants' attitudes and behaviors related to the environment at the beginning and end of the semester. Repeated Measures ANOVAs were performed in order to test for differences in attitudes, concerns, and behaviors based on time (pretest, posttest). Between subjects ANOV As were used to test for differences in attitudes, concerns, and behaviors based on gender (male, female) and ethnicity (Black/ AfricanAmerican, Asian/Pacific Islander, Hispanic, and Caucasian). Hierarchical multiple regressions with interactions were used to determine which variables (i.e., gender, ethnicity, pretest scores, and their interactions) serve as predictors of environmental attitudes and behaviors.
Базовые процессы технологии Cook&Chill для индустриального выпуска продукции категории Ready to Eat & Ready to Cook
Creators: name: Ерёмин Александр Евгеньевич
name: Беляева Марина Александровна
Publisher: name: Пищевая промышленность
Year: 2020
Subjects: Cook&Chill
Ready to Eat & Ready to Cook
шоковое охлаждение
регенерация

description: В статье рассмотрена общая методика современных процессов производства кулинарной продукции по технологии Cook&Chill. Приведены аспекты, позволяющие эффективно транслировать эту технологию в различные типы предприятий ресторанного бизнеса и пищевой промышленности. Авторами рассмотрены основные этапы организационной схемы технологии выпуска. Описаны микробиологические аспекты эффективности применения данных производственных моделей для выпуска готовых блюд и полуфабрикатов высокой степени готовности. Приведены данные о критической зоне роста патогенной микрофлоры при охлаждении пищевой продукции. Указаны рекомендации по минимальной контаминации сырья на этапе подготовительных операций. Рассмотрены основные технологические параметры процессов тепловой обработки, время и температуры, а также принцип их изменения в зависимости от параметров продукции – типа сырья и линейных размеров порции. Описаны основные виды шокового охлаждения и замораживания. Авторами с целью указания наиболее распространенных методик детализированы процессы воздушного охлаждения в бласт-чиллерах. В статье приведены базовые режимы работы оборудования Soft Chill и Hard Chill, различие температурных и временных параметров. Указаны примеры из практики, повышающие эффективность процессов. Описаны основные требования к процессам хранения продукции, принципам проектирования охлаждаемых помещений, выбору необходимого инвентаря и оборудования, системам учета сырья и методам визуализации сырьевых потоков на предприятии. Отображены виды оборудования для режимов регенерации. Описаны требования к параметрам для регенерации охлажденной продукции и термостатирования уже готовых блюд. В конце статьи авторами указаны преимущества применения данной технологии, основными из которых являются оптимизация производственных площадей, прозрачность процессов управления сырьевыми потоками, простота операций, эффективное планирование ресурсов и затрат на персонал, общее повышение операционной прибыли предприятия.
A comparative study of MOND and MOG theories versus the$κ$-model: An application to galaxy clusters
Creators: name: Pascoli, Gianni
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Many models have been proposed to minimize the dark matter (DM) content in various astronomical objects at every scale in the Universe. The most widely known model isMOdified Newtonian Dynamics (MOND). MOND was first published by Mordehai Milgromin 1983 (Milgrom, 1983; 2015; see also Banik and Zhao, 2022 for a review). A second concurrent model is modified gravity (MOG), which is a covariant scalar-tensor-vector (STVG)extension of general relativity (Moffat, 2006; 2020). Other theories also exist but have notbeen broadly applied to a large list of astronomical objects (Mannheim and Kazanas, 1989;Capozziello and De Laurentis, 2012; O'Brien and Moss, 2015; Verlinde, 2017). A new model,called $κ$-model, based on very elementary phenomenological considerations, has recently beenproposed in the astrophysics field. This model shows that the presence of dark matter canbe considerably minimized with regard to the dynamics of galaxies (Pascoli, 2022 a,b). The$κ$-model belongs to the general family of theories descended from MOND. Under this familyof theories, there is no need to develop a highly uncertain dark matter sector of physics toexplain the observations.
Исследование биохимического состава зерновой клетчатки спиртового производства
Creators: name: Бессонов Владимир Владимирович
name: Богачук Мария Николаевна
name: Макаренко Мария Андреевна
name: Сокуренко Мария Сергеевна
name: Шевякова Людмила Владимировна
name: Абрамова Ирина Михайловна
name: Туршатов Михаил Владимирович
name: Кривченко Вера Александровна
name: Соловьев Александр Олегович
Publisher: name: Пищевая промышленность
Year: 2020
Subjects: зерновая клетчатка
клетчатка
барда
спиртовое производство
кормовые продукты

description: Зерновое сырье всегда очень высоко ценится, как в качестве сырья, так и в виде товарного продукта. Благодаря богатому компонентному составу на основе зерна можно производить широкий спектр самой разнообразной продукции (например, спирт, ферментные препараты, крахмал, клетчатку и др.). Спиртовые производства, которые основываются на переработке зернового сырья, чаще всего используют комплексные безотходные технологии производства, что позволяет повысить рентабельность производства и сократить затраты на переработку и утилизацию отходов. Исследования, проводимые во ВНИИПБТ совместно с ФГБУН ФИЦ питания и биотехнологии, направлены на детальное изучение состава зерновой клетчатки спиртового производства из различных видов сырья, влияния технологических факторов на ее качество и возможности последующего ее применения в качестве пищевой добавки направленного действия. В ходе исследований, в лабораторных условиях, были получены образцы послеспиртовой барды (зерновой клетчатки) из трех видов зернового сырья: пшеницы, ржи и кукурузы. В полученных образцах исследовали биохимический состав, в том числе наличие витаминов, минеральных веществ, аминокислот и жирных кислот. По результатам исследований проведен сравнительный анализ с аналогичными справочными показателями пшеничных отрубей. Из полученных данных следует, что все исследуемые образцы по сравнению с отрубями характеризуются более высоким содержанием протеина, пищевых волокон и витаминов, а также фактически отсутствием крахмалистых полисахаридов и простых сахаров. Однако все полученные показатели в значительной мере варьируются в зависимости от вида перерабатываемого зернового сырья. Наибольшее количество пищевых волокон содержится в ржаной клетчатке (до 73 г/100 г), а наименьшее – в кукурузной (до 52 г/100 г). Ржаную клетчатку отличают высокое содержание витаминов и низкая калорийность (189 ккал/100 г). В кукурузной клетчатке содержится повышенное содержание жира (17,1 % на а.с.в.) и, как следствие, повышенная калорийность – 261 ккал/100 г. По нашей оценке результаты исследований свидетельствуют о качественных преимуществах зерновой клетчатки спиртового производства в сравнении с отрубями. Все исследованные образцы по предварительной оценке соответствуют критериям безопасности для применения в качестве функциональной пищевой добавки в приоритетной последовательности: ржаная, пшеничная, кукурузная. Для объективной оценки функциональных свойств зерновой клетчатки спиртового производства необходимо было провести специальные исследования.
Выявление показателей для определения прогнозирования сроков стойкости пива верхового и низового брожения
Creators: name: Гернет Марина Васильевна
name: Грибкова Ирина Николаевна
name: Захаров Максим Александрович
Publisher: name: Пищевая промышленность
Year: 2020
Subjects: пиво
прогнозирование сроков стойкости
ускоренное старение
идентификационные показатели
температурные режимы

description: Современный развивающийся рынок напитков требует разработки методик, которые были бы направлены на возможность контроля показателей качества продукции. Поскольку ассортимент напитков расширяется, это требует решения поставленной цели – изыскания новых идентификационных критериев и новых подходов к решению проблемы ускоренной оценки определения сроков годности пива. Имеющаяся в отрасли методика показала свою непригодность, так как образующийся осадок не дает возможности адекватно определить мутность. Для решения поставленной цели были проанализированы показатели качества пивоваренной продукции в зависимости от различных температурных режимов, выявлены оптимальная температура и продолжительность выдержки нефильтрованной пивоваренной продукции: – 37 °С и 1 неделя для пива со сроком стойкости 180 суток, 2 недели для пива со сроком стойкости 365 суток. Анализ физико-химических соединений показал сходность закономерно изменяющихся показателей (1‑пропанола, изобутанола и изоамилола) у образцов пива, искусственно состаренных (подвергшихся температурной обработке) и с естественно истекшим сроком хранения. Было показано, что кислотность снижается пропорционально убыли органических кислот, а повышение содержания ацетальдегида (карбонила старения) – пропорционально убыли содержания органических кислот. Полученные результаты исследований были математически проанализированы, и с помощью множественного корреляционно-регрессионного анализа было получено уравнение зависимости полноты вкуса от вторичных продуктов брожения, что подтвердило правильность проведенных изысканий.
Augmenting the Correlated Trait–Correlated Method Model for Multitrait–Multimethod Data
Creators: name: Castro-Schilo, Laura
name: Grimm, Kevin J.
name: Widaman, Keith F.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Plant Biology

description: We introduce an approach for ensuring empirical identification of the correlated trait–correlated method (CT–CM) model under a variety of conditions. A set of models are referred to as augmented correlated trait–correlated method (ACT–CM) models because they are based on systematically augmenting the multitrait–multimethod matrix put forth by Campbell and Fiske (1959). We show results from a Monte Carlo simulation study in which data characteristics lead to an empirically underidentified standard CT–CM model, but a well-identified fully augmented correlated trait–correlated method (FACT–CM) model. This improved identification occurs even for a model in which equality constraints are imposed on loadings on each trait factor and loadings on each method factor—a specific case shown to lead to an empirically underidentified CT–CM model.