Miracle-dz/UniFAR-FTUs huggingface dataset:
A second triclinic polymorph of (1-ammonio-1-phosphonoethyl)phosphonate

The asymmetric unit of the second polymorph of the title compound, C2H9NO6P2, contains one molecule existing as a zwitterion. The N atom of the ammonio group is protonated and one of the phosphonic acid groups is deprotonated. Bond lengths and angles are similar in both polymorphs. Besides the differences in cell parameters, the most significant structural difference between this structure and that of the first polymorph [Dudko, Bon, Kozachkova, Tsarik & Pekhno (2008 ▶), Ukr. Khim. Zh. 74, 104–106] is the presence of strong symmetric hydrogen bonds between neighbouring phosphonate groups. H atoms involved in these hydrogen bonds are located at inversion centres and O⋯O distances are observed in the range 2.458 (5)–2.523 (5) Å. These bonds and additional O—H⋯O and N—H⋯O hydrogen bonds interlink the molecules, giving a three-dimensional supromolecular network.
Impact of exercise-based cardiac rehabilitation on long-term clinical outcomes in patients with left main coronary artery stenosis

Background Cardiac rehabilitation may reduce cardiovascular mortality and morbidity rates in patients with coronary artery disease. The specific relationship between cardiac rehabilitation participation and left main coronary artery stenosis is unknown. Design Prospective registry analysis. Methods Data from a registry of 3120 patients with left main coronary artery stenosis, collected between 1995 and 2010, were analyzed. A total of 596 patients (19.6%) had participated in a cardiac rehabilitation program. Results The crude seven-year mortality, cardiovascular mortality, target-vessel revascularization and myocardial infarction rates were significantly lower in the cardiac rehabilitation than in the non-rehabilitation group, and the incidence of stroke tended to be lower in the cardiac rehabilitation group. Multivariate analysis showed that cardiac rehabilitation was associated with significantly lower risks of mortality (hazard ratio (HR), 0.70; 95% confidence interval (CI), 0.49–1.00; p = 0.05) and cardiovascular mortality (HR, 0.69; 95% CI, 0.48–0.97; p = 0.03). However, the adjusted HR of myocardial infarction, target-vessel revascularization and stroke did not differ significantly. Propensity score-matched analysis of 507 pairs showed that cardiac rehabilitation was associated with significant decreases in mortality (HR, 0.62; 95% CI, 0.43–0.89; p = 0.009) and cardiovascular mortality (HR, 0.54; 95% CI, 0.36–0.80; p = 0.002) but had no beneficial effects on myocardial infarction, target-vessel revascularization or stroke. Conclusions Exercise-based cardiac rehabilitation participation was associated with significant decreases in mortality. Our findings show that cardiac rehabilitation programs should be implemented in standard management for patients with left main coronary artery stenosis.
A Novel Pregabalin Functionalized Salicylaldehyde Derivative Afforded Prospective Pain, Inflammation, and Pyrexia Alleviating Propensities

A novel pregabalin derivative named as pregsal ((S,E)‐3‐(((2‐hydroxybenzylidene)amino)methyl)‐5‐methylhexanoic acid) was synthesized by a simple imination reaction between pregabalin and salicylaldehyde and was evaluated in the in vivo testing paradigms. The compound was characterized by UV, IR, 1H, 13C NMR, HR ESI‐MS, and elemental analysis. It was screened (30, 50, 75, and 100 mg/kg) for antinociceptive, anti‐inflammatory, and antipyretic activities in relation to pregabalin. The synthesized compound significantly attenuated the tonic acetic acid‐induced nociceptive pain (30 mg/kg (P < 0.05), 50 mg/kg (P < 0.01), 75 and 100 mg/kg (P < 0.001)), and thermal‐induced hyperalgesia (P < 0.001). These activities were succinctly antagonized (P < 0.05, P < 0.01, P < 0.001) by naloxone and pentylenetetrazole, implicating the involvement of opioidergic and GABAergic mechanisms. The compound also inhibited the temporal inflammatory response and alleviated the yeast‐induced pyrexia (P < 0.05, P < 0.01, and P < 0.001). These findings suggest that the synthesized compound possessed prospective pain, inflammation, and pyrexia relieving propensities and therefore may serve as a potential drug candidate for the therapeutic management of chronic pain conditions.
The Affect of Socio Demographic Factors on Exclusive Breastfeeding and Duration of Breastfeeding in Timor Leste

Although the proportion of ever breastfeeding is high (96.8%) in Timor Leste, the proportion of exclusive breastfeeding (7.02%, for children <=6 month) and the mean duration of breastfeeding (9.87 month, for children aged <=2 years) is quite low. Based on 2003 DHS data on Timor Leste, this paper study the factors that might act as possible determinants of exclusive breastfeeding and duration of breastfeeding among the mothers of Timor Leste. The result shows younger mothers (aged<=30) are less like to exclusively breastfeed their infant. Exposure to education (OR=0.738), residing in urban area (OR=0.676), higher socio economic status (OR=0.902 [Middle class], OR=0.433[Richest]) seemed to have negative impact on the exclusive breastfeeding practice. The relative hazard of termination of breastfeeding was found to be higher for women with urban residency (RH= 1.133), higher socio economic status (RH=1.009 [Middle class], RH=1.075 [Richest]), place of delivery other than home, and age more than 30.
Breaking news: How push notifications alter the fourth estate

In the face of media mistrust and increasing scrutiny over fake news, the fourth estate traditional power-check functions, as well as its esteem, are in jeopardy. Changes in news reporting and dissemination, including social media and new technologies have greatly reshaped the information environments of an informed electorate within American democracy. While much scholarly progress has been made in studying the socio-political impact of social media, similar critical attention has not been given to some of the technological changes in news dissemination. Research has begun to analyze attitudinal changes, as well as documented general information-saturation culture and online civility. It is not clear if these are related within the context of breaking news, raising distinct research questions, including: How have objectivity and sentiment changed in media representations over time? How have push notifications, as an increasingly popular and exemplar technological change in news dissemination, influenced these representations? This paper addresses these questions by exploring a case comparison between representations of two historically parallel breaking news stories, U.S. President Nixon firing special prosecutor Archibald Cox in 1973 and President Trump firing FBI Director James Comey in 2017, through computational textual analysis. While headlines and push notifications vary significantly by news providers, push notifications are similar across platforms in distinguishing characteristics such as emotionally loaded and subjective language. Both of these are defining elements of fake and deceptive news and may potentially account for some media distrust recently.
Knowledge sharing and social capital in globally distributed execution

Purpose The purpose of this study is to assess whether social capital explains level and quality of knowledge sharing in globally distributed execution. More specifically, the study examined how knowledge sharing in combined European–Asian teams of a globally operating engineering and construction company was affected by these teams’ social capital. Design/methodology/approach Social capital was approached via constructs covering its structural, relational and cognitive dimensions. Data for 325 employees were collected via an online questionnaire and analysed using multiple regression models. Findings The analyses confirm that components of social capital offer powerful explanations of both the level and the quality of knowledge sharing. The study also found many differences in how social capital affects the level versus the quality of knowledge sharing and also in how it works in the European versus the Asian situations. No social capital factor appeared to significantly predict both level and quality knowledge sharing in the European and Asian situations alike. Originality/value This study is novel in empirically establishing how knowledge sharing in globally distributed execution is affected by teams’ social capital as an integrative construct bringing together individual and group characteristics.
Quantitative 1H‐magnetic resonance spectroscopy of human brain: Influence of composition and parameterization of the basis set in linear combination model‐fitting

Localized short‐echo‐time 1H‐MR spectra of human brain contain contributions of many low‐molecular‐weight metabolites and baseline contributions of macromolecules. Two approaches to model such spectra are compared and the data acquisition sequence, optimized for reproducibility, is presented. Modeling relies on prior knowledge constraints and linear combination of metabolite spectra. Investigated was what can be gained by basis parameterization, i.e., description of basis spectra as sums of parametric lineshapes. Effects of basis composition and addition of experimentally measured macromolecular baselines were investigated also. Both fitting methods yielded quantitatively similar values, model deviations, error estimates, and reproducibility in the evaluation of 64 spectra of human gray and white matter from 40 subjects. Major advantages of parameterized basis functions are the possibilities to evaluate fitting parameters separately, to treat subgroup spectra as independent moieties, and to incorporate deviations from straightforward metabolite models. It was found that most of the 22 basis metabolites used may provide meaningful data when comparing patient cohorts. In individual spectra, sums of closely related metabolites are often more meaningful. Inclusion of a macromolecular basis component leads to relatively small, but significantly different tissue content for most metabolites. It provides a means to quantitate baseline contributions that may contain crucial clinical information. Magn Reson Med 48:440–453, 2002. © 2002 Wiley‐Liss, Inc.
A robust cognitive approach to traffic scene analysis

A model based approach to monocular image sequence analysis of road traffic scenes is presented. Within this framework a vision system for applications like autonomous driving and collision avoidance was developed. The approach takes part in problems of selective and active vision. The fully automatic system MOSAIK recognizes and describes all visual vehicles on or near the road. It solves the problem to compute a robust scene description under egomotion nearly in realtime on a standard monoprocessor workstation. MOSAIK has been tested by using typical German 'Autobahn' and road scenes. This paper describes the vision approach and the interaction of vehicle recognition and tracking and the influence of attention control. <<ETX>>
Aristotle on the Logos of the Craftsman

Aristotle thinks that an account, a logos , of some sort is characteristic of craft, technē . Some scholars think that the logos element of technē is tagged onto experience as a theoretical element not directly engaged in successful production: I argue instead that the logos grounds the productive ability of craft, and also that is practically orientated in a way that distinguishes it from the logos of theoretical science. Understanding the logos of craft thus helps us explain how the craftsman differs both from the merely experienced practitioner and from the theoretical scientist.
Switching strategy for sensor fault tolerant vector control of doubly fed induction machines

In this paper we propose a multisensor switching strategy for fault tolerant control of rotor wound induction motors operating as stand alone generators. The proposed strategy combines three current sensors and associated observers that estimate the stator flux. The estimates provided by the observers are compared at each sampling time by a switching mechanism, which selects the sensors-observer pair with the smallest error between the estimated flux magnitude and a desired flux reference. The estimates provided by the selected pair are used to implement a vector control law. The switching selection is such that measurements from faulty current sensors are automatically avoided by the switching mechanism, thus maintaining good performance levels even in the presence of a faulty sensor. Simulation results under realistic conditions illustrate the effectiveness of the scheme.
Regulation of pineal serotonin N-acetyltransferase activity.

Regulation of pineal serotonin N-acetyltransferase activity David C. Klein,* Nicolas L. Schaad,* M. A. A. Namboordiri,§ Li Yut and Joan L. Weller* 'Section on Neuroendocrinology, Laboratory of Developmental Neurobiology, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, U.S.A; $Department of Biology, Georgetown University, Washington, D.C., U.S.A. and tlnstitute for Molecular Virology, University of St. Louis, St.Louis, MO 63 100, U.S.A.
A Collimation Scheme for Ions Changing Charge State in the Leir Ring

Avalanche-like pressure rise and an associated decrease of the beam life-time, caused by (i) beam loss due to charge exchange interactions with rest gas molecules, (ii) electron capture from the electron beam of the electron cooler and (iii) ion impact induced outgassing, is a potential limitation for heavy ion accelerators. The vacuum system of the LEIR ring has to be upgraded to reach the dynamical vacuum pressure in the low 10− 12 Torr range necessary to reach design performance. A collimation system to intercept lost ions by absorber blocks made of low beam-induced out-gassing material will be installed. This paper reviews the collimation scheme and simulations of beam loss patterns around the ring.
Probing the Near-Field Inductive Coupling in Broadside Coupled Terahertz Metamaterials

We discuss near-field coupling between the pair of split ring resonators (SRRs) in broadside coupled terahertz (THz) metamaterials and examine resonance split and tuning of resonances in such metamaterials system. The metamolecule design is comprised of two orthogonally twisted broadside coupled SRRs separated by a thin microscale polyimide layer. We analyze the interaction between the metalayers numerically and analytically by displacing the top resonator w.r. t. the bottom resonator both in the horizontal and vertical directions. The THz transmission through proposed configuration results in the split of fundamental resonances due to the resonance mode hybridization effect. In the case of successive horizontal displacements between the resonators, we observe a complete shift from the coupled to uncoupled state, however, in vertical displacements, we notice the transition from coupled to uncoupled state at much larger displacement. We employed a semianalytical transmission line model to understand and describe the coupling aspect between the bilayer resonators and found that it corroborates the numerical findings. The ability to tune resonance behavior that we have examined through this work, could be significant in the development of frequency tunable THz devices and build other promising applications such as THz modulators and antennas in the near future.
Bayesian models of syntactic category acquisition

Discovering a word’s part of speech is an essential step in acquiring the grammar of a language. In this thesis we examine a variety of computational Bayesian models that use linguistic input available to children, in the form of transcribed child directed speech, to learn part of speech categories. Part of speech categories are characterised by contextual (distributional/syntactic) and word-internal (morphological) similarity. In this thesis, we assume language learners will be aware of these types of cues, and investigate exactly how they can make use of them. Firstly, we enrich the context of a standard model (the Bayesian Hidden Markov Model) by adding sentence type to the wider distributional context. We show that children are exposed to a much more diverse set of sentence types than evident in standard corpora used for NLP tasks, and previous work suggests that they are aware of the differences between sentence type as signalled by prosody and pragmatics. Sentence type affects local context distributions, and as such can be informative when relying on local context for categorisation. Adding sentence types to the model improves performance, depending on how it is integrated into our models. We discuss how to incorporate novel features into the model structure we use in a flexible manner, and present a second model type that learns to use sentence type as a distinguishing cue only when it is informative. Secondly, we add a model of morphological segmentation to the part of speech categorisation model, in order to model joint learning of syntactic categories and morphology. These two tasks are closely linked: categorising words into syntactic categories is aided by morphological information, and finding morphological patterns in words is aided by knowing the syntactic categories of those words. In our joint model, we find improved performance vis-a-vis single-task baselines, but the nature of the improvement depends on the morphological typology of the language being modelled. This is the first token-based joint model of unsupervised morphology and part of speech category learning of which we are aware.
Does your workstation computation belong on a vector supercomputer?

Since a vector supercomputer costs about 300 times as much as a workstation, you might expect it to run your program about 300 times faster. This naive expectation can be more accurately phrased as a question: Will the performance of my application increase when run on a vector supercomputer? In this article, we adopt the Socratic method, posing five additional questions to help you answer the original question for yourself. If you answer «no» to more than one of our questions, it is probably not worthwhile for you to attempt porting your code to a vector supercomputer. We devote one section of this article to each of our five questions: 1. Would you pay 10 times as much to solve your problem 30 times faster?
On Human-Robot Co-Manipulation for Handling Tasks: Modeling and Control Strategy

In this paper, we address the co-manipulation problem for the handling tasks through a viewpoint that we do not think sufficiently explored, even it employs classical tools of robotics. Usually, this problem is tackled through the control objective based on impedance control. We consider that this force is the only exchanged physical signal, showing the robot how to move according to the willingness of the human operator. Indeed, this force gives the desired direction of displacement at every moment, a displacement that should remain under the operator's authority. Moreover, for safety purposes, the velocity of displacement should be imposed to avoid hazardous behavior. As a result, dealing with co-manipulation consists in realizing two functions in order to perform a controlled power amplification. The first is the online trajectory generation of an appropriate trajectory. The other lies in the design of a control structure allowing a good trajectory tracking. The overall strategy is illustrated with the co-manipulation problem of a robot that handles a pendulous load.
Use of alternative therapists among people in care for HIV in the United States.

OBJECTIVES This study examined the influence of sociodemographic, clinical, and attitudinal variables on the use of alternative therapists by people in care for HIV. METHODS Bivariate and multivariate analyses of baseline data from the nationally representative HIV Cost and Services Utilization Study were conducted. RESULTS Overall, 15.4% had used an alternative therapist, and among users, 53.9% had fewer than 5 visits in the past 6 months. Use was higher for people who were gay/lesbian, had incomes above 40,000 dollars, lived in the Northeast and West, were depressed, and wanted more information about and more decisionmaking involvement in their care. Among users, number of visits was associated with age, education, sexual orientation, insurance status, and CD4 count. CONCLUSIONS Among people receiving medical care for HIV, use of complementary care provided by alternative therapists is associated with several sociodemographic, clinical, and attitudinal variables. Evaluation of the coordination of provider-based alternative and standard medical care is needed.
Human T-cell leukemia virus type 1 Tax releases cell cycle arrest induced by p16INK4a

The human T-cell leukemia virus type 1 (HTLV-1) Tax oncoprotein causes cellular transformation by deregulating important cellular processes such as DNA repair, transcription, signal transduction, proliferation, and growth. Although it is clear that normal cell cycle control is deregulated during HTLV-1-induced cellular transformation, the effects of Tax on cell cycle control are not well understood. Flow cytometric analyses of human T cells indicate that cell cycle arrest in late G1, at or before the G1/S restriction point, by p16INK4a is relieved by Tax. Furthermore, Tax-dependent stimulation of 5-bromo-2'-deoxyuridine incorporation and transcriptional activation is inhibited by p16INK4a. This result suggests that p16INK4a is able to block Tax-dependent stimulation of DNA synthesis and cell cycle progression into S phase. In vitro binding assays with recombinant glutathione S-transferase fusion proteins and [35S]methionine-labeled proteins indicate that Tax binds specifically with p16INK4a but not with either p21cip1 or p27kip1. Furthermore, sequential immunoprecipitation assays with specific antisera and [35S]methionine-labeled cell lysates subsequent to coexpression with Tax and p16INK4a indicate that the two proteins form complexes in vivo. Immunocomplex kinase assays with cyclin-dependent kinase 4 antiserum indicate that Tax blocks the inhibition of cdk4 kinase activity by p16INK4a. This study identifies p16INK4a as a novel cellular target for Tax and suggests that the inactivation of p16INK4a function is a mechanism of cell cycle deregulation by Tax.
Comment on "Large Volcanic Aerosol Load in the Stratosphere Linked to Asian Monsoon Transport"

Bourassa et al. (Reports, 6 July 2012, p. 78) have suggested that deep convection associated with the Asian monsoon played a critical role in transporting sulfur dioxide associated with the Nabro volcanic eruption (13 June 2011) from the upper troposphere (9 to 14 kilometers) into the lower stratosphere. An analysis of the CALIPSO lidar data indicates, however, that the main part of the Nabro volcanic plume was injected directly into the lower stratosphere during the initial eruption well before reaching the Asian monsoon deep convective region.
Hyperinvariant subspaces for some operators on locally convex spaces

Some results concerning hyperinvariant subspaces of some operators on locally convex spaces are considered. Denseness of a class of operators which have a hyperinvari- ant subspace in the algebra of locally bounded operators is proved. 1. Introduction. Let X be a locally convex space over the complex field C. Each system of seminorms P inducing its topology will be called a calibration. We denote by (X) the collection of all calibrations on X and by Λ(X) all continuous seminorms with respect to the given topology. Let us denote by (X) the set of all linear continuous operators on X and by (X) the set of compact operators on X, i.e., T ∈ (X) if there exists a neighborhood U such that T( U)is a relatively compact set. We shall denote by im(T ) the range of T and by ker T the null space of T. For a given P ∈ (X), let P ={ pα : α ∈ ∆}, where ∆ is some index set. Choose any α ∈ ∆ and let Xα := X/ker(pα) denote the quotient space which is a normed space with respect to the normxα� α = pα(x) where xα = x + ker(pα). The completeness of Xα we denote by ˜ Xα. It is well known