Miracle-dz/UniFAR-FTUs huggingface dataset:
Models of infrared emission from dusty and diffuse H II regions

Models for the infrared emission from amorphous core-mantle dust within diffuse (n/sub e/< or =10/sup 3/ cm/sup -3/) H II regions with neutral shells that are optically thin in the infrared have been calculated. The icy mantles sublimate only within a fractional radius of 0.2--0.5, affecting the overall gas-to-dust ratio only slightly. A region with variable grain composition may have a much smaller infrared luminosity than a similar region with uniform grain properties. Calculations of the total infrared luminosity, the relative contribution by L.cap alpha. photons, the infrared spectral distribution, and the size of the dust-depleted regions are presented as functions of the ultraviolet optical depths in the ionized and neutral regions and for stellar temperatures of 35,000 and 48,000 K. Comparison with observations indicate that at least 20% of the Lyman-continuum photons are absorbed by the dust, and that the dust optical depth in the Lyman continuum is likely to be of the order of unity. For core-mantle grains most of the infrared energy is emitted between 30 and 70 . mu.m, relatively independent of whether the dust is within or outside the H II region. Amorphous silicate particles tend to emit more energy below 30 . mu.m, but also emitmore » efficiently at far-infrared wavelengths. In order to illustrate the model calculations, we present infrared spectra for the Orion A region and compare them with observed fluxed, accounting for beam-width effects. A reasonable agreement is obtained with most of the near- to middle-infrared observations if the total ultraviolet optical depth is about unity and about equally divided between the ionized region and an outside neutral shell. Intensity profiles for Orion A are presented for wavelengths in the ragne 20--1000 . mu.m, and show a strong increase in width beyond 20 . mu.m. « less
A Bayesian Approach to Occupancy Mapping With Uncertain Inputs

The proposed approach uses an occupancy mapping method that employs Gaussian processes (GPs) to describe and exploit spatial dependencies inherently introduced by structure in real-world environments. Traditional occupancy grids [1] decomposes the high dimensional mapping problem into many single dimensional, independent, binary classification tasks. This independence assumption ignores the fact that in the real-world, cells of occupancy are not distributed at random over the environment, rather there exists a spatial correlation between cells due to the physical structure of objects and environment.Rather than discretising the world into a grid, GPs describe the properties associated with a map, such as occupancy, in the form of a continuous non-parametric function.
Hypothetical Protein VDAG_07742 Is Required for Verticillium dahliae Pathogenicity in Potato

Verticillium dahliae is a soil-borne pathogenic fungus that causes Verticillium wilt in host plants, a particularly serious problem in potato cultivation. Several pathogenicity-related proteins play important roles in the host infection process, hence, identifying such proteins, especially those with unknown functions, will surely aid in understanding the mechanism responsible for the pathogenesis of the fungus. Here, tandem mass tag (TMT) was used to quantitatively analyze the differentially expressed proteins in V. dahliae during the infection of the susceptible potato cultivar “Favorita”. Potato seedlings were infected with V. dahliae and incubated for 36 h, after which 181 proteins were found to be significantly upregulated. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses showed that most of these proteins were involved in early growth and cell wall degradation. The hypothetical, secretory protein with an unknown function, VDAG_07742, was significantly upregulated during infection. The functional analysis with knockout and complementation mutants revealed that the associated gene was not involved in mycelial growth, conidial production, or germination; however, the penetration ability and pathogenicity of VDAG_07742 deletion mutants were significantly reduced. Therefore, our results strongly indicate that VDAG_07742 is essential in the early stage of potato infection by V. dahliae.
The Effect of Decreased Ca++/Mg++ ATPase Activity on Lactobacillus delbrueckii subsp. bulgaricus sp1.1 Survival during Spray Drying

Compared with the commonly used technique of freeze-drying, spray drying has lower energy costs. However, spray drying also has a fatal disadvantage: a lower survival rate. In this study, the survival of bacteria in a spray-drying tower decreased as the water content was reduced. The water content of 21.10% was the critical point for spray drying Lactobacillus delbrueckii subsp. bulgaricus (L. bulgaricus) sp1.1 based on sampling in the tower. Based on the relationship between the moisture content of spray drying and the survival rate, the water content of 21.10% was also the critical point for the change in the survival rate during spray drying. Proteomic analysis was used to investigate the reasons for L. bulgaricus sp1.1 inactivation during and after spray drying. Gene Ontology (GO) enrichment revealed that differentially expressed proteins were mainly associated with the cell membrane and transport. In particular, proteins related to metal ion transport included those involved in the transport of potassium, calcium and magnesium ions. The protein–protein interaction (PPI) network revealed that Ca++/Mg++ adenosine triphosphatase (ATPase) may be a key protein. Ca++/Mg++ ATPase activity decreased substantially during spray drying (p < 0.05). Supplementation with Ca++ and Mg++ significantly increased the expression of ATPase-related genes and enzyme activity (p < 0.05). The Ca++/Mg++ ATPase activity of L. bulgaricus sp1.1 was enhanced by increasing the intracellular Ca++ or Mg++ concentration, thus increasing the survival of spray-dried LAB. Bacterial survival rates were increased to 43.06% with the addition of Ca++ and to 42.64% with the addition of Mg++, respectively. Ca++/Mg++ ATPase may be the key to the damage observed in spray-dried bacteria. Furthermore, the addition of Ca++ or Mg++ also reduced bacterial injury during spray drying by enhancing the activity of Ca++/Mg++ ATPase.
Internal Tide Generation in the Deep Ocean

AbstractInternal tides are internal gravity waves generated in stratified waters by the interaction of barotropic tidal currents with variable bottom topography. They play a role in dissipating tidal energy and lead to mixing in the deep ocean. Key dimensionless parameters governing their generation include the tidal excursion compared with the scale of the topography, the bottom slope compared with the angle at which rays of internal waves of tidal frequency propagate, and the height of the topography compared with the depth of the ocean. Recent theoretical developments for parts of this parameter space particularly relevant to the deep ocean show that most of the energy flux is associated with low modes that propagate away from the generation region. For isolated features this energy flux is not strongly dependent on the bottom slope. Intense beams of internal tidal energy are expected near “critical slopes," bottom slopes equal to the ray slope, and lead to local mixing.
Whole-Genome Duplication and Genome Instability in Cancer Cells: Double the Trouble

Whole-genome duplication (WGD) is one of the most common genomic abnormalities in cancers. WGD can provide a source of redundant genes to buffer the deleterious effect of somatic alterations and facilitate clonal evolution in cancer cells. The extra DNA and centrosome burden after WGD is associated with an elevation of genome instability. Causes of genome instability are multifaceted and occur throughout the cell cycle. Among these are DNA damage caused by the abortive mitosis that initially triggers tetraploidization, replication stress and DNA damage associated with an enlarged genome, and chromosomal instability during the subsequent mitosis in the presence of extra centrosomes and altered spindle morphology. Here, we chronicle the events after WGD, from tetraploidization instigated by abortive mitosis including mitotic slippage and cytokinesis failure to the replication of the tetraploid genome, and finally, to the mitosis in the presence of supernumerary centrosomes. A recurring theme is the ability of some cancer cells to overcome the obstacles in place for preventing WGD. The underlying mechanisms range from the attenuation of the p53-dependent G1 checkpoint to enabling pseudobipolar spindle formation via the clustering of supernumerary centrosomes. These survival tactics and the resulting genome instability confer a subset of polyploid cancer cells proliferative advantage over their diploid counterparts and the development of therapeutic resistance.
Neighborhoods and adolescent polysubstance use in Jamaica

Background The purpose of this study was to identify latent classes of polysubstance use among adolescents in Jamaica and the role of neighborhood factors in the association with polysubstance use class membership. Methods This secondary analysis utilized a national cross-sectional household drug use survey conducted across 357 households in Jamaica (April 2016–July 2016) among a total of 4,625 individuals. A total of 750 adolescents (11–17 years) were included in this analysis. Latent class analysis (LCA) was conducted to identify polysubstance use patterns as well as latent neighborhood constructs. Neighborhood factors included social disorganization, concentrated disadvantage, community resources, community violence, and police station concentration. Multinomial regression analysis was implemented to evaluate the association between polysubstance use class membership and latent classes of neighborhood factors. Result The prevalence of lifetime polysubstance use was 27.56%. Four classes of polysubstance use were identified by comparing a series of five class models. The Bootstrap Likelihood Ratio Test (BLRT) indicated a good fit for the four-class model (<0.001). The prevalence of alcohol latent classes was: (1) heavy alcohol users and experimental smokers (Class I) (15.20%), (2) most hazardous polysubstance users (Class II) (5.33%), (3) heavy smokers and moderate alcohol users (Class III) (7.07%), and (4) experimental alcohol users (Class IV) (72.44%). Three classes of neighborhoods were identified by comparing a series of four-class models. The prevalence of the neighborhood classes was: (1) low social disorganization and disadvantage (Class I) (58.93%), (2) high social disorganization and moderate disadvantage (Class II) (10.93%), and (3) high social disorganization related to perceived drug use and disadvantage (Class III) (30.13%). The BLRT indicated a good fit for the three-class model (p = < 0.004). Multinomial regression analysis indicated that adolescents living in neighborhoods with high disorder and moderate disadvantage (Class II) were 2.43 times (odds ratio (OR)) = 2.43, confidence interval (CI)) = 1.30–4.56) more likely to be heavy alcohol users and experimental smokers (Class I) compared to experimental alcohol users, adjusting for sex, age, ethnicity, religion, and income. Class II of neighborhood classes presented with the highest levels of community violence (100%), perceived disorder crime (64.6%), police station concentration (6.7%), and community resources (low resources is 87.6%), while the concentrated disadvantage was moderate (14.8%). Conclusions Alcohol polysubstance use latent classes were identified among youth in this context. Neighborhoods with high disorder and moderate disadvantage (Class II) were associated with a higher likelihood of polysubstance use. The role of neighborhood conditions in shaping adolescent polysubstance use should be considered in policy, prevention, and treatment interventions.
On the Consistency of Preference Learning

In this paper, we give a novel theoretical analysis which explains why a setwise loss function exhibits a better performance of a pairwise loss function based on an utility function. We introduce a model of preference and ranking problems based on the concept of partial order relation and we provide three different approaches for carrying out this model. For understanding what is the approach with smaller generalization error, we evaluate the Bayes risk of realizing the preference and ranking model by each one of the three approaches. We will understand that the direct approach exhibits better performance than the utility function approach and than a model based on a function that works directly on pairs. Finally, we show how the ranking and preference generalization error depends on the size of set of alternatives.
Local and Systemic Effects of Porphyromonas gingivalis Infection

Porphyromonas gingivalis, a gram-negative anaerobe, is a leading etiological agent in periodontitis. This infectious pathogen can induce a dysbiotic, proinflammatory state within the oral cavity by disrupting commensal interactions between the host and oral microbiota. It is advantageous for P. gingivalis to avoid complete host immunosuppression, as inflammation-induced tissue damage provides essential nutrients necessary for robust bacterial proliferation. In this context, P. gingivalis can gain access to the systemic circulation, where it can promote a prothrombotic state. P. gingivalis expresses a number of virulence factors, which aid this pathogen toward infection of a variety of host cells, evasion of detection by the host immune system, subversion of the host immune responses, and activation of several humoral and cellular hemostatic factors.
Impact of Foreign Direct Investment on Green Innovation: Evidence from China's Provincial Panel Data

The last couple of decades have witnessed growing interest in the academic literature in the conciliation of finance and sustainable development. Foreign direct investment (FDI) faces increasing pressure from both host and home country towards adoptinsg sustainable approaches. Such solutions can be green innovation (GI) for climate change, environmental risks, green processes and products that allow tracking the carbon footprint, as well as many other green technologies. Based on the macro-level data of 31 provinces in China from 2003 to 2020, this paper employed policy environment (PE) and marketization level (ML) as moderating variables to further investigate the impact of FDI on GI. Our results show the following: (1) FDI has a significant positive and dynamic evolution feature of diminishing marginal efficiency on GI. (2) The heterogeneity analysis of regional regression shows that FDI significantly increases GI in the eastern and western regions. In contrast, FDI in the central region inhibits GI but not significantly. (3) Both PE and ML can positively moderate the impact of FDI on GI. Furthermore, our empirical results of the robustness test of 2SLS and GMM are highly consistent with the main test. The conclusions of this paper provide policy implications for local governments to fully and effectively utilize foreign capital for green innovation activities.
Towards a Material-by-Design Approach to Electrospun Scaffolds for Tissue Engineering Based on Statistical Design of Experiments (DOE)

Electrospinning bears great potential for the manufacturing of scaffolds for tissue engineering, consisting of a porous mesh of ultrafine fibers that effectively mimic the extracellular matrix (ECM) and aid in directing stem cell fate. However, for engineering purposes, there is a need to develop material-by-design approaches based on predictive models. In this methodological study, a rational methodology based on statistical design of experiments (DOE) is discussed in detail, yielding heuristic models that capture the linkage between process parameters (Xs) of the electrospinning and scaffold properties (Ys). Five scaffolds made of polycaprolactone are produced according to a 22-factorial combinatorial scheme where two Xs, i.e., flow rate and applied voltage, are varied between two given levels plus a center point. The scaffolds were characterized to measure a set of properties (Ys), i.e., fiber diameter distribution, porosity, wettability, Young’s modulus, and cell adhesion on murine myoblast C1C12 cells. Simple engineering DOE models were obtained for all Ys. Each Y, for example, the biological response, can be used as a driver for the design process, using the process-property model of interest for accurate interpolation within the design domain, enabling a material-by-design strategy and speeding up the product development cycle. The implications are also illustrated in the context of the design of multilayer scaffolds with microstructural gradients and controlled properties of each layer. The possibility of obtaining statistical models correlating between diverse output properties of the scaffolds is highlighted. Noteworthy, the featured DOE approach can be potentially merged with artificial intelligence tools to manage complexity and it is applicable to several fields including 3D printing.
Is set modeling of white noise a good tool for robust H/sub 2/ analysis?

A new deterministic characterization of the H/sub 2/ norm has recently been proposed, using a new norm (/spl par/./spl par/w/sub /spl eta//), based on (approximate) set membership modeling of white noise. The main result of Paganini (1995, 1996) shows that under mild conditions, for a fixed system the gap between the H/sub 2/ and W/sub /spl eta// norms can be made arbitrarily small. Motivated by these results it has been argued that the /spl par/. /spl par/w/sub /spl eta// norm provides a useful tool for analyzing robust H/sub 2/ controllers, specially since in this context LMI based necessary and sufficient conditions for robust performance are available. However, we show with an example involving a very simple plant that the worst case /spl par/. /spl par/w/sub /spl eta///sup m/ norm can be conservative by at least a factor of /spl radic/m (where m denotes the dimension of the exogenous signal) for the original robust H/sub 2/ problem. Thus, at this point the problem of finding non-conservative bounds on the worst H/sub 2/ norm under LTI or slowly-varying LTV perturbations still remains open.
Advances in Babesia Vaccine Development: An Overview

Babesiosis is a tick-borne zoonotic disease, which is caused by various species of intracellular Babesia parasite. It is a problem not only for the livestock industry but also for global health. Significant global economic losses, in particular in cattle production, have been observed. Since the current preventive measures against babesiosis are insufficient, there is increasing pressure to develop a vaccine. In this review, we survey the achievements and recent advances in the creation of antibabesiosis vaccine. The scope of this review includes the development of a vaccine against B. microti, B. bovis, B. bigemina, B. orientalis and B. divergens. Here, we present different strategies in their progress and evaluation. Scientists worldwide are still trying to find new targets for a vaccine that would not only reduce symptoms among animals but also prevent the further spread of the disease. Molecular candidates for the production of a vaccine against various Babesia spp. are presented. Our study also describes the current prospects of vaccine evolution for successful Babesia parasites elimination.
Fundamental plasma emission involving ion sound waves

The theory for fundamental plasma emission by the three-wave processes L ± S→T (where L, S and T denote Langmuir, ion sound and transverse waves, respectively) is developed. Kinematic constraints on the characteristics and growth lengths of waves participating in the wave processes are identified. In addition the rates, path-integrated wave temperatures, and limits on the brightness temperature of the radiation are derived.
Online learning adoption during COVID 19 pandemic – the experiences of the undergraduate students in North Macedonia

Since spring 2020 when pandemic suddenly threatened the world in unexpected way, a dramatic shift in how people live, work, and learn/study is evident. Global pandemic restriction strategies like stay-at-home orders, social distancing and long periods of lockdowns have disrupted the traditional campus-based model of education i.e. the traditional in-classroom teaching, and have forced fast adoption of online learning systems as remote/distance learning. For most counties/universities worldwide, online learning was one of the efforts to minimize the spread of Covid-19 and convenient opportunity of continuing the educational process in those circumstances. This was the case in the country as well. In this sense, the goal of this paper is to analyze the adoption of online learning among university students in the country. The basis for the research model is the original Technology Acceptance Model (TAM). This fundamental model examines the crucial predictors/factors of technology adoption including the following constructs: perceived ease of use, perceived usefulness, attitude towards using, behavioral intention and actual use. In order to get insightsregarding the online learning adoption among university students in the country, a survey was conducted among more than 150 undergraduates during April and May 2022, while online learning was still undergoing. The results of this study capture valuable insights regarding the adoption of online learning and can be used as solid base for higher education institutions in the country to shape their online education offerings in order to remain competitive in a post-pandemic future. This research provides relevant practical implications by elaborating that the analyzed factors are critical towards online learning attitude in our country. [ FROM AUTHOR]
The local dynamics of streamlines in turbulence

Based on a coordinate transformation, similiar to the one used in the flamelet approach in non-premixed combustion, we introduce a coordinate locally tangent to streamlines and transform the Navier-Stokes equations to an equation for the variation of the absolute value of the velocity ui. Different from previous approaches, the unsteady term splits into two terms, one of which contains all information about the time- and space-dependence of the streamline coordinate. Based on the DNS of homogeneous isotropic decaying turbulence at a Taylor based Reynolds number of Reλ = 71 we first discuss the temporal variation of the streamline coordinate field, reflecting non-local fast and slow changes of the latter. Then, based on the transformed equation we discuss the balance of the different terms along streamlines and discern terms of different orders of magnitude.