Miracle-dz/UniFAR-FTUs huggingface dataset:
Angiotensin II receptor antagonist TCV-116 induces regression of hypertensive left ventricular hypertrophy in vivo and inhibits the intracellular signaling pathway of stretch-mediated cardiomyocyte hypertrophy in vitro.

BACKGROUND Previous studies have demonstrated that angiotensin II (Ang II) acts as a growth-promoting factor directly on cardiac myocytes and that angiotensin-converting enzyme inhibitor induces regression of hypertrophied hearts both in experimental animals and in humans. These results suggest that the renin-angiotensin system (RAS) is involved in the formation of left ventricular hypertrophy (LVH). To elucidate the role of RAS in the progression of cardiac hypertrophy, we evaluated the effect of an Ang II receptor antagonist on LVH in spontaneously hypertensive rats (SHRs) and investigated the molecular mechanisms by which antagonizing Ang II receptors reduces cell hypertrophy of myocytes using the in vitro model of mechanical stretch. METHODS AND RESULTS In the in vivo study, we treated SHRs with the nonpeptide Ang II receptor antagonist TCV-116 (0.1, 1, or 10 mg/kg per day) or hydralazine (10 mg/kg per day). Blood pressure was measured by the tail-cuff method, and wall thickness of left ventricle was serially monitored using M-mode echocardiography. Rats were killed at the age of 13, 17, 21, or 25 weeks, and left ventricular (LV) weight, transverse diameter of cardiomyocytes, relative amount of V3 myosin heavy chain (MHC), and degree of interstitial collagen accumulation were examined. Untreated SHRs progressively developed severe hypertension, but treatment with TCV-116 or hydralazine inhibited the increase in blood pressure. Treatment with TCV-116 reduced LV weight, LV wall thickness, transverse diameter of myocytes, relative amount of V3 MHC, and interstitial fibrosis, whereas treatment with hydralazine slightly prevented an increase in LV wall thickness but did not exert significant reduction in other parameters. In the in vitro study, neonatal rat cardiomyocytes were cultured on deformable silicone dishes and mechanically stretched with or without pretreatment of CV-11974 (an active metabolite of TCV-116), and [3H]phenylalanine incorporation, activity of mitogen-activated protein (MAP) kinase, and c-fos mRNA expression were analyzed. Pretreatment of cultured cardiomyocytes with 10(-7) mol/L CV-11974 inhibited an increase in [3H]phenylalanine incorporation, MAP kinase activity, and c-fos gene expression induced by stretch of cardiomyocytes. CONCLUSIONS The Ang II receptor antagonist TCV-116 induced regression of cardiac hypertrophy and had cardioprotective effects on hypertrophied myocardium in vivo, and antagonizing Ang II receptors inhibited intracellular signaling of stretch-mediated cardiomyocyte hypertrophy in vitro. These results suggest a crucial role of the cardiac RAS in the development of LVH produced by pressure overload.
Modeling Human Exposure Levels to Airborne Volatile Organic Compounds by the Hebei Spirit Oil Spill

Objectives The goal was to model and quantify the atmospheric concentrations of volatile organic compounds (VOCs) as the result of the Hebei Spirit oil spill, and to predict whether the exposure levels were abnormally high or not. Methods We developed a model for calculating the airborne concentration of VOCs that are produced in an oil spill accident. The model was applied to a practical situation, namely the Hebei Spirit oil spill. The accuracy of the model was verified by comparing the results with previous observation data. The concentrations were compared with the currently used air quality standards. Results Evaporation was found to be 10- to 1,000-fold higher than the emissions produced from a surrounding industrial complex. The modeled concentrations for benzene failed to meet current labor environmental standards, and the concentration of benzene, toluene, ortho- meta- para-xylene were higher than the values specified by air quality standards and guideline values on the ocean. The concentrations of total VOCs were much higher than indoor environmental criteria for the entire Taean area for a few days. Conclusions The extent of airborne exposure was clearly not the same as that for normal conditions.
Familiar strangers: Visualising potential metro encounters in Beijing

Why can cities in general be more productive and richer than villages? Some scholars believe that the main reason lies in economic agglomeration and spillover effects (e.g. Anas et al., 1998). But what exactly can trigger those effects? Glaeser (2012) regarded face-to-face interaction, along with other factors such as human capital, communication, built form, development density and professional network, as the premise and booster of the effects. Cities with tall buildings and high population/employer density may be a pain for those who prefer and enjoy a countryside lifestyle; however, such cities can better facilitate a variety of face-to-face interactions, with ‘familiar strangers’ as one of them. Familiar strangers are those urban residents or visitors who encounter one another at various locales in the city. Prior to the emergence of big data such as smartcard and cellular network data, it is mostly through discrete evidence, anecdotal personal experience and/or movie/novel episodes that we know the existence of the familiar-stranger phenomenon and perceive its magnitude. Nobody knows exactly where familiar strangers encounter the most, how many familiar strangers on average there are at a specific locale and which factors would affect the distribution and the number of familiar strangers at a locale. Using a week’s smartcard and cellular network data and the average number of points of interest (POIs) in a year of Beijing, the capital of China with a population over 20 million, we have created three visuals for us to fathom the distribution and the number of familiar strangers at different metro-served areas (MSAs) – metro stations and their respective surroundings – and two factors we speculated that influence the former: the active cellphone users, which represent the pool of people who can potentially encounter, and the POIs, which are opportunities/destinations that people would go for. Our smartcard and cellular network data are both for 10–14 August 2015. Based on these data, we derived on average 2,664,796 distinct smartcard holders (assuming each user has one distinct smartcard) and approximately 17 million distinct cellphone users (assuming each user has
On the relationship between perceived service quality, service loyalty and switching costs

In the services marketing literature it has been argued that the concept of service loyalty needs further conceptual and empirical investigation. In this paper a theoretical framework for service loyalty consisting of three dimensions: preference loyalty; price indifference loyalty; and dissatisfaction response is developed. We subsequently focus on the role of service quality and switching costs as antecedents to these types of service loyalty. The results of an empirical study of a large sample of customers from five different service industries provide support for service loyalty as a three‐dimensional construct. Moreover, we find that the influence of service quality on service loyalty varies significantly per industry and that, hence, findings from one industry cannot be generalised to other industries. Furthermore, we establish that in industries characterised by relatively low switching costs, customers will be less loyal as compared to service industries with relatively high switching costs.
Cultural Differences in Playing Repeated Ultimatum Game Online with Virtual Humans

Efficient interaction between computational agents and users in tasks such as negotiation and bargaining requires recognition and understanding of potential differences in human behavior. Cultural differences in humans bargaining behavior are the focus of this study. We investigate the dynamics of human game playing with a conversational computational agent (Virtual Human). We demonstrate that the cultural background influences their observed behavior in this task. We investigate whether the social values held by the participants from each culture can at least partially explain the observed differences in behavior. We show that it is possible to automatically identify players' cultures from their game behavior and to predict their upcoming decisions in different stages of a repeated game. We employ data collected from US and Indian participants playing repeated rounds of the Ultimatum Game online against a virtual human when low stakes are involved. Our results are comparable to the reported results of similar games played among people in laboratory conditions and with high stakes. The two cultures are different in terms of the statistics and the sequence of offers made in the game and their reported values. The findings of this study are valuable for development of culturally-sensitive computational agents for negotiation and bargaining.
Immunization strategy for epidemic spreading on multilayer networks

In many real-world complex systems, individuals have many kinds of interactions among them, suggesting that it is necessary to consider a layered-structure framework to model systems such as social interactions. This structure can be captured by multilayer networks and can have major effects on the spreading of process that occurs over them, such as epidemics. In this letter we study a targeted immunization strategy for epidemic spreading over a multilayer network. We apply the strategy in one of the layers and study its effect in all layers of the network disregarding degree-degree correlation among layers. We found that the targeted strategy is not as efficient as in isolated networks, due to the fact that in order to stop the spreading of the disease it is necessary to immunize more than 80% of the individuals. However, the size of the epidemic is drastically reduced in the layer where the immunization strategy is applied compared to the case with no mitigation strategy. Thus, the immunization strategy has a major effect on the layer were it is applied, but does not efficiently protect the individuals of other layers.
Object Representation in Inferior Temporal Cortex Is Organized Hierarchically in a Mosaic-Like Structure

There are two dominant models for the functional organization of brain regions underlying object recognition. One model postulates category-specific modules while the other proposes a distributed representation of objects with generic visual features. Functional imaging techniques relying on metabolic signals, such as fMRI and optical intrinsic signal imaging (OISI), have been used to support both models, but due to the indirect nature of the measurements in these techniques, the existing data for one model cannot be used to support the other model. Here, we used large-scale multielectrode recordings over a large surface of anterior inferior temporal (IT) cortex, and densely mapped stimulus-evoked neuronal responses. We found that IT cortex is subdivided into distinct domains characterized by similar patterns of responses to the objects in our stimulus set. Each domain spanned several millimeters on the cortex. Some of these domains represented faces (“face” domains) or monkey bodies (“monkey-body” domains). We also identified domains with low responsiveness to faces (“anti-face” domains). Meanwhile, the recording sites within domains that displayed category selectivity showed heterogeneous tuning profiles to different exemplars within each category. This local heterogeneity was consistent with the stimulus-evoked feature columns revealed by OISI. Taken together, our study revealed that regions with common functional properties (domains) consist of a finer functional structure (columns) in anterior IT cortex. The “domains” and previously proposed “patches” are rather like “mosaics” where a whole mosaic is characterized by overall similarity in stimulus responses and pieces of the mosaic correspond to feature columns.
Wording effects in moral judgments

As the study of moral judgments grows, it becomes imperative to compare results across studies in order to create unified theories within the field. These efforts are potentially undermined, however, by variations in wording used by different researchers. The current study sought to determine whether, when, and how variations in wording influence moral judgments. Online participants responded to 15 different moral vignettes (e.g., the trolley problem) using 1 of 4 adjectives: “wrong”, “inappropriate”, “forbidden”, or “blameworthy”. For half of the sample, these adjectives were preceded by the adverb “morally”. Results indicated that people were more apt to judge an act as wrong or inappropriate than forbidden or blameworthy, and that disgusting acts were rated as more acceptable when “morally” was included. Although some wording differences emerged, effects sizes were small and suggest that studies of moral judgment with different wordings can legitimately be compared.
A genetic similarity rule determines arthropod community structure

We define a genetic similarity rule that predicts how genetic variation in a dominant plant affects the structure of an arthropod community. This rule applies to hybridizing cottonwood species where plant genetic variation determines plant–animal interactions and structures a dependent community of leaf‐modifying arthropods. Because the associated arthropod community is expected to respond to important plant traits, we also tested whether plant chemical composition is one potential intermediate link between plant genes and arthropod community composition. Two lines of evidence support our genetic similarity rule. First, in a common garden experiment we found that trees with similar genetic compositions had similar chemical compositions and similar arthropod compositions. Second, in a wild population, we found a similar relationship between genetic similarity in cottonwoods and the dependent arthropod community. Field data demonstrate that the relationship between genes and arthropods was also significant when the hybrids were analysed alone, i.e. the pattern is not dependent upon the inclusion of both parental species. Because plant–animal interactions and natural hybridization are common to diverse plant taxa, we suggest that a genetic similarity rule is potentially applicable, and may be extended, to other systems and ecological processes. For example, plants with similar genetic compositions may exhibit similar litter decomposition rates. A corollary to this genetic similarity rule predicts that in systems with low plant genetic variability, the environment will be a stronger factor structuring the dependent community. Our findings argue that the genetic composition of a dominant plant can structure higher order ecological processes, thus placing community and ecosystem ecology within a genetic and evolutionary framework. A genetic similarity rule also has important conservation implications because the loss of genetic diversity in one species, especially dominant or keystone species that define many communities, may cascade to negatively affect the rest of the dependent community.
The Comparison of Fluid Dynamics Parameters in an Andersen Cascade Impactor Equipped With and Without a Preseparator

The fluid dynamic data in Andersen cascade impactor (ACI) are still lacking. Airflows and those affected parameters can be predicted in a preseparator and Andersen cascade impactor (ACI) by computational modeling. This study developed a validated computational fluid dynamic (CFD) model of an ACI and investigated the effects of the preseparator on the CFD parameters. Validation of the computational nozzle velocity for each of the stage 0 to stage 5 of the ACI stages was found to be within a 3.56% error. The flow field indicated that the preseparator accelerated the airflow velocity at the induction tube from 1.13 to 3.71 ± 0.09 m/s and 2.40 to 8.68 ± 0.16 m/s (at 28.3 and 60 L/min of flow rate, respectively). The preseparator produced a nozzle's wall shear stress ranged from 0.08 to 0.34 Pa on a collection plate, while the ex-preseparator spread wall shear from the plate's center was in a range of 0.11 to 0.37 Pa (at 28.3 L/min of flow rate). Moreover, the nozzle velocities increased along the distance from the middle of the collection plate to the periphery. The CFD explained the airflow of the preseparator equipped model by accelerating the airflow along the inlet port to maximize the trapping of desirable particles and the generation of a smooth wall shear stress at the collection plate to reduce the particle re-entrainment. While, the ex-preseparator generated an airflow that resulted in a higher wall shear stress occurring on the lower stages.
Tidal disruption of globular clusters in dwarf galaxies with triaxial dark matter haloes

We use N-body simulations to study the tidal evolution of globular clusters (GCs) in dwarf spheroidal (dSph) galaxies. Our models adopt a cosmologically motivated scenario in which the dSph is approximated by a static Navarro, Frenk & White halo with a triaxial shape. We apply our models to five GCs spanning three orders of magnitude in stellar density and two in mass, chosen to represent the properties exhibited by the five GCs of the Fornax dSph. We show that only the object representing Fornax's least dense GC (F1) can be fully disrupted by Fornax's internal tidal field - the four denser clusters survive even if their orbits decay to the centre of Fornax. For a large set of orbits and projection angles, we examine the spatial and velocity distribution of stellar debris deposited during the complete disruption of an F1-like GC. Our simulations show that such debris appears as shells, isolated clumps and elongated overdensities at low surface brightness (>26 mag arcsec ―2 ), reminiscent of substructure observed in several Milky Way dSphs. Such features arise from the triaxiality of the galaxy potential and do not dissolve in time. The kinematics of the debris depends strongly on the progenitor's orbit. Debris associated with box and resonant orbits does not display stream motions and may appear 'colder'/'hotter' than the dSph's field population if the viewing angle is perpendicular/parallel to the progenitor's orbital plane. In contrast, debris associated with loop orbits shows a rotational velocity that may be detectable out to a few kpc from the galaxy centre. Chemical tagging that can distinguish GC debris from field stars may reveal whether the merger of GCs contributed to the formation of multiple stellar components observed in dSphs.
Where are we?: evaluating the current rendering fidelity of mobile audio augmented reality systems

Mobile audio augmented reality systems (MAARS) simulate virtual audio sources in a physical space via headphones. While 20 years ago, these required expensive sensing and rendering equipment, the necessary technology has become widely available. Smartphones have become capable to run high-fidelity spatial audio rendering algorithms, and modern sensors can provide rich data to the rendering process. Combined, these constitute an inexpensive, powerful platform for audio augmented reality. We evaluated the practical limitations of currently available off-the-shelf hardware using a voice sample in a lab experiment. State of the art motion sensors provide multiple degrees of freedom, including pitch and roll angles instead of yaw only. Since our rendering algorithm is also capable of including this richer sensor data in terms of source elevation, we also measured its impact on sound localization. Results show that mobile audio augmented reality systems achieve the same horizontal resolution as stationary systems. We found that including pitch and roll angles did not significantly improve the users' localization performance.
Structural equation modeling

The chapters demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources. Examples from social work literature highlight best practices for the specification, estimation, interpretation, and modification of structural equation models. Oftentimes, confirmatory factor analysis and general structure modeling are the most flexible, powerful, and appropriate choices for social work data.
Temporal variability of climatic parameters of Yamuna River basin: spatial analysis of persistence, trend and periodicity.

Identification of the precise nature and attributes of the time series of climatological data is very important and is usually the first step for water resources planning and management. Such exercise is very important for hydro-climatic extremes. In many instances, a climatic time series is generally not statistically independent but is comprised of patterns of persistence, cycles, trends or some other non-random components. To see the importance of the subject, this paper de- scribes the statistical approach used to investigate the presence and extent of persistence, trend and periodicity in climatic time series. The methodology was applied to investigate the spatial distribution pattern of the indicative hydro-climatic variables over the Yamuna River basin of India. Hydro-climatic time series used in the analysis were annual rainfall; Monsoon and Non-monsoon rainfall; annual, Monsoon and Non-monsoon rainydays; onset of effective monsoon; and aridity index.
NAD(P)H-Hydrate Dehydratase- A Metabolic Repair Enzyme and Its Role in Bacillus subtilis Stress Adaptation

Background One of the strategies for survival stress conditions in bacteria is a regulatory adaptive system called general stress response (GSR), which is dependent on the SigB transcription factor in Bacillus sp. The GSR is one of the largest regulon in Bacillus sp. , including about 100 genes; however, most of the genes that show changes in expression during various stresses have not yet been characterized or assigned a biochemical function for the encoded proteins. Previously, we characterized the Bacillus subtilis168 osmosensitive mutant, defective in the yxkO gene (encoding a putative ribokinase), which was recently assigned in vitro as an ADP/ATP-dependent NAD(P)H-hydrate dehydratase and was demonstrated to belong to the SigB operon. Methods and Results We show the impact of YxkO on the activity of SigB-dependent Pctc promoter and adaptation to osmotic and ethanol stress and potassium limitation respectively. Using a 2DE approach, we compare the proteomes of WT and mutant strains grown under conditions of osmotic and ethanol stress. Both stresses led to changes in the protein level of enzymes that are involved in motility (flagellin), citrate cycle (isocitrate dehydrogenase, malate dehydrogenase), glycolysis (phosphoglycerate kinase), and decomposition of Amadori products (fructosamine-6-phosphate deglycase). Glutamine synthetase revealed a different pattern after osmotic stress. The patterns of enzymes for branched amino acid metabolism and cell wall synthesis (L-alanine dehydrogenase, aspartate-semialdehyde dehydrogenase, ketol-acid reductoisomerase) were altered after ethanol stress. Conclusion We performed the first characterization of a Bacillus subtilis168 knock-out mutant in the yxkO gene that encodes a metabolite repair enzyme. We show that such enzymes could play a significant role in the survival of stressed cells.