gebhart/patrepeval huggingface dataset:
Risk Early-warning Model of Ocean International Trade Based on SVM (2019)

Wei, X. and Qin, C., 2019. Risk early-warning model of ocean international trade based on SVM. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 785–790. Coconut Creek (Florida), ISSN 0749-0208.In order to reduce the risk of marine international trade waybill and improve the ability of risk early warning, an automatic early warning model of marine international trade waybill risk based on SVM theory is proposed. The panel data statistical regression analysis technology is used to detect the risk characteristic information of marine international trade waybill. According to the detection results, the risk data characteristics of marine international trade waybill risk early warning model are analyzed, sampled and integrated, the big data information characteristic quantity associated with marine international trade waybill risk is excavated, and the least square estimation method is used to automatically assess the risk of marine international trade waybill. The association rule set and rough quantitative feature set of marine international trade waybill risk big data are extracted, and the robustness test and automatic prediction of marine international trade waybill risk assessment are carried out with the method of piecewise regression analysis, so as to realize the automatic early warning of marine international trade waybill risk. The simulation results show that the model can accurately predict the risk of marine international trade waybill, the accuracy of early warning is high, and the robustness of marine international trade waybill risk early warning is good.
Intercalation and Polymerization of Aniline in Layered Protonic Conductors (1992)

Aniline has been intercalated into the acidic host matrices of HFe(SO4)2.4H2O, and of α-Zr(HPO4)2.H2O and γ-Zr(HPO4)2.2H2O, and their partially copper exchanged phases. The nature of the guest species: neutral, protonated or polymerised, depends on the inorganic template. Polymerised aniline has been identified in both α and γ modifications of zirconium copper hydrogen phosphates.
207 Modeling of heteroepitaxial thin film growth by kinetic Monte Carlo (2008)

Innovative thin film technology has enabled the development of finer electronic devices, but a greater understanding of the atomic level process of film growth and its relationship with film characterization is needed to successfully manufacture these devices. Kinetic Monte Carlo (KMC) simulations can treat phenomena with a micro second order time scale in thin film growth. However, most of those had treated homoepitaxial growth. We investigated the effect of heteroepitaxial interlace to the KMC parameters, activation energy and attempt frequency by a simple Lennard-Jones type two-body interaction. The effect depended on the distance from the interface, but they saturated at more than three deposited layers. Thus, the KMC simulation of heteroepitaxial growth can be conducted using only a few sets of KMC parameter tables that are adopted according to the layer. Ni/Cu interface was also investigated using the embedded-atom (EAM) potential. The result of KMC of Cu on a Ni(111) surface was compared with Cu on Cu(111). The activation energies of diffusions around an island on the heteroepitaxial surface decreased more than those on the homoepitaxial surface. Thus, the shape of the island for the heteroepitaxial growth of Cu on Ni(111) was more simplified than the homoepitaxial growth of Cu on Cu(111).
An Improved Electrogeometric Model for Transmission Line Shielding Analysis (1987)

An improved electrogeometric model - intended for transmission line lightning shielding analysis - is presented, based upon previous empirical and analytical studies of the lightning striking process. In contrast to earlier approaches, the model provides a rational basis for taking account of the influence of structure height and is essentially independent of any assumptions regarding striking distances to ground. Sample applications of the model show comparatively good agreement with line experience, both in the estimation of shielding failure outage rates, and in the calculation of the requisite critical shielding angles.
Contribution of Organic and Inorganic Substances to Allelopathic Activity in the Exudate of Germinated Seeds. (1995)

著者らは, 植物種子分泌液に検出されたアレロパシー活性における有機物および無機物の貢献度を明らかにすることを目的として, 14科24属からなる24種の植物種子の分泌物およびその灰化物を, ヒモゲイトウ下胚軸伸長試験に供し, それぞれの生物活性について比較検討した。その結果, (a)分泌物の活性が, 灰化処理によって失われたか, あるいは減少した植物種 (オオイヌノフグリ, パセリ, イネなど14種), (b) 分泌物の活性が, 灰化処理によって増大した植物種 (カボチャ), (c) 分泌物の活性が, 灰化処理した後もほとんど変化しなかった植物種 (ゴボウ, ヒマワリなど9種) の3つのタイプに分類された。以上のことから, 植物種子分泌液中に存在するアレロパシー活性は, 灰化処理によって消失する有機物 (成長促進および阻害物質) および灰化物中に存在する無機物の双方より由来することが明らかとなった。また, 多くの植物種において, 種子分泌液中に含まれる有機物がアレロパシー活性に関与していることが示された。種子重量と分泌物あるいは種子重量と灰化物の活性との相関を求めたところ, 前者ではr=0.66, 後者ではr=0.83という相関係数が得られた。これより, 植物種子分泌液に含まれるアレロパシー活性のうち灰化処理により得られた無機物の活性は, 植物種に関係なく種子重量に依存するが, 灰化処理によって消失する有機物の活性は, 植物種に特異的である可能性が示唆された。
Mechanics of Gripping Form by Artificial Fingers (1976)

It is desired that artificial fingers can grip various objects with a gripping suitable to their shapes. In this paper, we discuss the matching between the structure of artificial fingers and the shapes of objects. The gripping by a robot is regarded as the restriction of the objects by the fingers. The forces acting on the objects should be balanced for the gripping.First the finger forces depending on the structure of the artificial fingers and the shape of an object are analyzed. Second by introducing the potential function the stability of a gripping form is discussed. When the potential is relative minimum at a certain gripping form, the resultant of all the finger forces acts so as to keep the gripping for all of small deviations. The defined potential can be applied to decide the optimal gripping form and the design of an universal gripper.
Apoptosis Dysregulation in CLL (2008)

Accumulating evidence support the view that the monoclonal B-cell receptor (BCR) ofleukemic lymphocytes plays a crucial role in the selection and survival of chroniclymphocytic leukemia (CLL) cells (1,2). At the molecular level, malignant cells preferentiallyuse specific immunoglobulin heavy chain variable (IGHV) genes; in more than half of thecases, they carry somatic mutations in the IGHV genes (3,4); over 20% of the cases expresshighly homologous (“stereotyped”) complementarity-determining region 3 (CDR3) sequen-ces (5-12). At the functional level, CLL cells show a heterogeneous pattern of responsivenessto BCR cross-linking, and some of them resemble anergic lymphocytes (1,2). To better definethe molecular framework of antigenic stimulation in CLL cells, we will herein dissect step bystep the mechanisms of regulation of BCR activity: first, we will analyze the nature of themembrane-associated BCR chains; second, we will discuss the BCR signal transductionpathways in normal and malignant B lymphocytes; third, we will describe distinct BCRcoreceptors and costimulatory molecules, and; finally, we will propose a model where all thedescribed BCR regulatory molecules concur to modulate antigen responsiveness or anergy inclinically different CLL subsets.
A hybrid artificial neural network with Dempster-Shafer theory for automated bearing fault diagnosis (2016)

Bearing fault diagnosis has a pivotal role in condition-based maintenance. Vibration spectra analysis has been proven to be the most efficient method for rotating machinery fault diagnosis. Vibration spectra can be analyzed by various signal processing tools (e.g. wavelet analysis, empirical mode decomposition, Hilbert-Huang transform). However, they involve human expertise in ensuring its maximum success. Machine learning tools (e.g. artificial neural networks (ANN), support vector machines (SVM)) can be an alternative for an automatic fault diagnosis. Researchers have studied the feasibility of ANN for automatic fault diagnosis since last decades. Most of the researchers reported positive finding in adapting ANN for automatic fault diagnosis. However, its accuracy is highly dependent on the neural networks structure such as number of nodes, hidden layers, and sigmoid function. This study proposed a hybrid algorithm used for automated bearing fault diagnosis based on ANN and Dempster-Shafer (DS) theory. The hybrid algorithm employed DS theory to improve the fault diagnosis results from ANN by eliminating conflicting results generated by ANN. Four conditions of bearing namely healthy condition and three types of faults included ball, inner race, and outer race faults classify by the proposed hybrid algorithm and artificial neural networks. The superiority of the hybrid algorithm was shown by comparing its result with the performance of ANN alone.
Marine MVDC multi-phase multi-pulse supply (2017)

This paper presents comparative evaluation and explores the different technologies suitable for the implementation of the Medium Voltage Direct Current (MVDC) electrical supplies for the marine on-board electrical distribution network. To realize the MVDC supply in the range from 5 kV to 25 kV, various technological choices are available during the design process and have a direct influence on the overall system performances. In this work we discuss different prime movers, choice of electrical generators and type of rectifiers. Different configurations are characterized with different metrics, in terms of commercial availability, quality of supply, efficiency, dynamic performance and volume. Multi-phase multi-pulse supply configurations are identified to provide high quality dc supply and recommended for marine MVDC distribution.
Demonstration of Positional Posterior Circulation Cerebral Ischemia on Cerebral Blood Flow SPECT (2001)

SHUKE, NORIYUKI M.D.; NAGASAWA, KENICHI M.D.; YAMAMOTO, WAKAKO M.D.; USUI, KOUKI M.D.; SAKO, KAZUHIRO M.D.; NAKAI, HIROFUMI M.D.; TANAKA, TATSUYA M.D.; ABURANO, TAMIO M.D. Author Information
Ocular axial length changes in a pediatric patient with aphakia and pseudophakia (1993)

Excessive eye elongation can be induced in experimental animals by visual deprivation. A tendency toward myopic refraction or shift in pediatric aphakia has been recorded in some children. In this report, we present the case of an 18-year-old patient who had developmental cataracts treated at seven years of age with bilateral cataract extraction and implantation of an intraocular lens in one eye only. Axial length of the eye with a contact lens increased compared with the eye with the intraocular lens.
Comparing the Prime and Subprime Mortgage Markets (2007)

Against the backdrop of news reports on high mortgage delinquency rates, this article examines recent trends in mortgage lending and compares the prime and subprime markets in particular.
Camelliatannin D, a new inhibitor of bone resorption, from Camellia japonica. (1995)

Camelliatannin D (1), a new complex tannin which inhibits Ca release from mouse calvaria, was isolated from the leaves and fruits of Camellia japonica L. (Theaceae). This tannin is the first example of complex tannin composed of a dimeric hydrolyzable tannin and a flavan-3-ol.
Modeling Differential Enthalpy of Absorption of CO2 with Piperazine as a Function of Temperature (2022)

Temperature-dependent correlations for equilibrium constants (ln <i>K</i>) and heat of absorption (Δ<i>H</i><sub>abs</sub>) of different reactions (i.e., deprotonation, double deprotonation, carbamate formation, protonated carbamate formation, dicarbamate formation) involved in the piperazine (PZ)/CO<sub>2</sub>/H<sub>2</sub>O system have been calculated using computational chemistry based ln <i>K</i> values input to the Gibbs-Helmholtz equation. This work also presents an extensive study of gaseous phase free energy and enthalpy for different reactions using composite (G3MP2B3, G3MP2, CBS-QB3, and G4MP2) and density functional theory [B3LYP/6-311++G(d,p)] methods. The explicit solvation shell (ESS) model and SM8T solvation free energy coupled with gaseous phase density functional theory calculations give temperature-dependent reaction equilibrium constants for different reactions. Calculated individual and overall reaction equilibrium constants and enthalpies of different reactions involved in CO<sub>2</sub> absorption in piperazine solution are compared against experimental data, where available, in the temperature range 273.15-373 K. Postcombustion CO<sub>2</sub> capture (PCC) is a temperature swing absorption-desorption process. The enthalpy of the solution directly correlates with the steam requirement of the amine regeneration step. Temperature-dependent correlations for ln <i>K</i> and Δ<i>H</i><sub>abs</sub> calculated using computational chemistry tools can help evaluate potential PCC solvents' thermodynamics and cost-efficiency. These correlations can also be employed in thermodynamic models (e.g., e-UNIQUAC, e-NRTL) to better understand postcombustion CO<sub>2</sub> capture solvent chemistry.
A real-time 31P-NMR-based approach for the assessment of glycerol kinase catalyzed monophosphorylations (2021)

Phosphorous-NMR is scarcely employed to evaluate enzyme kinetics of kinase driven monophosphorylations, despite of being a powerful and reliable tool to undoubtedly detect the actual phosphoryl transfer to the targeted substrate. Another advantage is that an external supplementation source of the NMR active isotope is not required, since <sup>31</sup>P is highly abundant in nature. Glycerol kinase (GlpK) from <i>E. coli</i> is an exemplary ATP-dependent kinase/phosphotransferase model to illustrate the value and usefulness of a <sup>31</sup>P-NMR-based approach to assess the enzymatically driven monophosphorylation of glycerol. Moreover, the described approach offers an alternative to the indirect coupled glycerol kinase enzyme assays. Herein, we provided a real time <sup>31</sup>P-NMR-based method customized for the direct assessment of the glycerol kinase enzyme activity.•Real-time detection for phosphoryl group dynamics in the GlpK driven reaction•Direct assessment of product formation (glycerol-monophosphate)•Parallel determination of cosubstrate (ATP) consumption and coproduct (ADP) generation•Method validation was performed <i>via</i> <sup>31</sup>P-NMR for each phosphorylated molecule involved in the reaction in order to assist in the molecular assignments.
Multi-agent coordination with switching interaction structures and heterogeneous agents (2008)

In this paper, we consider the coordination control of a group of heterogeneous autonomous agents with two kinds of agents: leaders (informed agents) and followers. The stability of whole agent group guided by these leaders to a desired convex region is mainly investigated though the interconnection topology keeps switching. Sufficient conditions on the multi-agent coordination are proposed with help of graph theory and non-smooth analysis. With first-order individual dynamics model using the neighborhood rule, the group of the agents will flock to the target set or reach a state agreement.
Editorial: Immunity in Compromised Newborns (2021)

The risk of infection-related morbidities and mortality is particularly high in the newborn period. Before birth, the mammalian fetus is protected from adverse effects of exogenous pathogenic microbes and can normally develop its immune system in a near-sterile environment with limited need for immune responses. This condition changes dramatically at birth when rapid adaptations of the innate and adaptive immune systems are required to tolerate and respond to commensal and pathogenic bacteria at epithelial surfaces (e.g. gut, lungs, skin) and fight microbes penetrating to blood and internal organs. Carefully balanced responses of the systemic, organ-related and epithelial immune systems are required to avoid bacterial overgrowth, translocation across immature barriers, and excessive inflammation. The many arms of the mammalian immune system develop differently in different species but comparative studies facilitate insights into mechanisms of perinatal immune development and help identify prophylactic and therapeutic opportunities. Interventions to support neonatal immunity are most critical for those born preterm, growth-restricted, hypoxic, infected or otherwise compromised at birth. This Research Topic presents a collection of 29 original research articles and reviews on perinatal immunology, aimed to understand the special challenges of compromised newborns. The Research Topic collection is connected with the completion of the international NEOMUNE research consortium, led by University of Copenhagen (www.neomune.ku.dk, 2013-20), having a focus on milk and microbiota influences on gut, immunity and brain development. The Research Topic and this editorial combine knowledge obtained in the NEOMUNE consortium with a series of complementary articles. We encourage studies into the mechanisms of systemic and mucosal immune development, and how dietary, microbial and pharmacological interventions support immune maturation assessed by both classical immune markers and exploratory omics techniques. The latter methods have recently emerged as novel tools to better understand immune development and prepare the way for a new precision medicine approach to the prevention, diagnosis and treatment of neonatal immune disorders (1, 2).
Genetic threshold hypothesis of neocortical spike‐and‐wave discharges in the rat: An animal model of petit mal epilepsy (1995)

Neocortical high-voltage spike-and-wave discharges (HVS) in the rat are an animal model of petit mal epilepsy. Genetic analysis of total duration of HVS (s/12 hr) in reciprocal F1 and F2 hybrids of F344 and BN rats indicated that the phenotypic variability of HVS cannot be explained by a simple, monogenic Mendelian model. Biometrical analysis suggested the presence of additive, dominance, and sex-linked-epistatic effects, buffering maternal influence, and heterosis. High correlation was observed between average duration (s/episode) and frequency of occurrence of spike-and-wave episodes (n/12 hr) in parental and segregating generations, indicating that common genes affect both duration and frequency of the spike-and-wave pattern. We propose that both genetic and developmental-environmental factors control an underlying quantitative variable, which, above a certain threshold level, precipitates HVS discharges. These findings, together with the recent availability of rat DNA markers for total genome mapping, pave the way to the identification of genes that control the susceptibility of the brain to spike-and-wave discharges.
Synthesis, structure, spectral and electrochemical properties of B(OR)2-smaragdyrin complexes (2013)

A series of B(OR)2-smaragdyrin complexes were synthesized by treating BF2-smaragdyrin complex with various aliphatic and aromatic alcohols in the presence of AlCl3 in CH2Cl2 at room temperature. The compounds are stable and characterized by various spectroscopic and electrochemical techniques. The X-ray structure solved for one of the B(OR)2-smaragdyrin complex showed that the macrocycle is planar and the boron atom is in tetrahedral geometry coordinated to two pyrrole nitrogens of the macrocycle and two oxygen atoms of the axial -OR groups. (1)H NMR studies indicated that the alkoxy or aryloxy groups present on the boron atom experience the macrocyclic ring current effect and appear in the up-field region. The absorption properties of B(OR)2-smaragdyrin complexes showed a strong absorption band at ~700 nm along with other absorption bands in the 450-650 nm region like BF2-smaragdyrin complex. Since B(OR)2-smaragdyrin complexes are electron rich due to the presence of electron rich alkoxy and aryloxy groups, the B(OR)2-smaragdyrin complexes are easier to oxidize but difficult to reduce compared to BF2-smaragdyrin. The B(OR)2-smaragdyrin complexes are found to be weakly fluorescent than BF2-smaragdyrin.
Novel mu-selective Met-enkephalinamide analogs with antagonist activity. Synthesis, receptor binding, analgesic properties and conformational studies. (1987)

Four novel mu-selective peptide antagonists have been synthesized and examined for receptor binding, analgesic agonist and antagonist activity and energy conformational properties. These peptides were designed by analogy to results of molecular modeling of 3-phenyl piperidines which led to incorporating four modified tyrosine residues, m-Tyr, beta-methyl-m-Tyr, N-phenethyl-m-Tyr and alpha, beta-dimethyl-m-Tyr into D-Ala2-Met5-enkephalinamide. Peptides were synthesized by stepwise solution synthesis using an active ester coupling procedure. Receptor binding assays were performed on rat brain homogenates and data were analyzed by a modified version of the program LIGAND. Analgesic agonist and antagonist activity was evaluated by the mouse tail-flick test. Energy-optimized conformations were obtained using a program called Molecule-AIMS. The results demonstrate that relative ratios of in vivo agonist and antagonist potencies in D-Ala2-Met5-enkephalinamides can be modulated by chemical modification of the tyrosine residue. A shift in the phenolic-OH position from para to meta significantly enhances relative antagonist versus agonist activity; addition of a beta-CH3 group to the m-Tyr enhances mu-selectivity and leads to nearly equal agonist/antagonist activity. Energy conformational studies indicate that all analogs with high mu-receptor affinity examined have a common energy accessible B'II 2-3 turn conformation similar to that previously identified for high mu-affinity binding in peptides, lending further support to this candidate conformer. This conformer also has tyrosine side-chain angles which allowed total overlap with the amine and phenolic groups of a known structure of 3-(m-OH phenyl)-piperidine. This structural similarity together with the observation of mixed agonist antagonist activity in both types of opioids confirms the rationale upon which design of these peptides was based.
Mitigation of land-sea contamination in SMOS (2015)

Since its launch in November 2009, the Soil Moisture and Ocean Salinity (SMOS) mission by the European Space Agency (ESA) has undergone a continuous calibration and imaging procedures improvement to produce valuable geophysical data over land, ice and ocean. However, a problem which does persist is the so-called land-sea contamination (LSC) effect. This paper unveils the nature of this artifact, which is caused by a multiplicative (scene dependent) bias in the retrieved brightness temperature images. The origin of LSC is traced down to SMOS calibration parameters to yield a simple correction scheme which is validated against several geophysical scenarios. This paper shows how autoconsistency rules in interferometric synthesis together with redundant and complementary calibration procedures provide a robust SMOS calibration scheme.
Regression Analysis with Censored Autocorrelated Data (1986)

Abstract For many studies in which data are collected sequentially in time, the sensitivity of the measurement is limited and an exact value can be recorded only if it falls within a specified range. This gives rise to a censored time series. In this article, we present a methodology for regression analysis of censored time series data. We fit autoregressive models to account for the time dependence. Two numerical methods for full likelihood estimation and an approximate method are discussed. The methods are illustrated with air pollution data subject to lower limits of detection.
O Impacto da COVID-19 no Diagnóstico de Doenças Cardíacas na América Latina Uma Subanálise do INCAPS COVID (2021)

COVID-19 was associated with a significant reduction in cardiac diagnostic procedures in Latin America, which was more related to social distancing than to the COVID-19 incidence. Better balance and timing of social distancing measures and planning to maintain access to medical care is warranted during a pandemic surge, especially in regions with high cardiovascular mortality.