Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of inflammasome activation in development and exacerbation of asthma

Human airways contact with pathogen-associated molecular patterns and danger-associated molecular patterns present in many environments. Asthmatic's airways may be more susceptible to these patterns and lead to inflammasome activation; however, the participation of inflammasome in the development and exacerbation of asthma is not fully understood and remains controversial. Asthma is a heterogeneous group composed of different airway inflammation patterns with different underlying immune mechanisms. One mechanism is neutrophilic airway inflammation based on the axis of inflammasome activation, interleukin (IL) 1β/IL-18 production, T helper 17 activation, IL-8/IL-6 overproduction, and neutrophilic inflammation. The role of inflammasome activation has been highlighted in experimental asthma models and some evidence of inflammasome activation has been recently demonstrated in human neutrophilic asthmatic airways. In addition to caspase-1 activation, proteinase 3 and other protease from activated neutrophils directly cleave pro-IL-1β and pro-IL-18 to IL-1β and IL-18, which contribute to the phenotype of subsequent adaptive immune responses without inflammasome activation. Data suggests that neutrophilics in asthmatic airways may have an additional effect in initiating inflammasome activation and amplifying immune responses. Among the mediators from neutrophils, S100A9 seems to be one candidate mediator to explain the action of neutrophils in amplifying the airway inflammation in concert with inflammasome.
Lending Competition, Relationship Banking, and Credit Availability for Entrepreneurs

Existing theories consistently predict that relationship banking enhances credit availability for new firms. To put more concretely, these theories predict that soft information acquisition about borrowers' creditworthiness and the resulting incumbent lender's profit-improving and relation-specific consulting ability yield a monopolistic rent for the incumbent lender, and that this expected rent encourages a bank to lend to younger firms to pre-empt an exclusive relationship ahead of rival banks. The present study tries to provide evidence for this hypothesis using a dataset collected from the 2003 Survey of the Financial Environment of Enterprises in Japan. Our statistical analysis shows that the time interval from start-up to the first loan approval for a firm is shorter if a bank intends to undertake relationship banking, even after controlling fund-demand and creditworthiness factors of each firm. This result provides evidence to support the above hypothesis. Our logit analysis shows that the probability for banks to undertake relationship banking is decreasing or hump-shaped against the number of competing banks. Thus, the increase in the number of competing banks is more likely to discourage these banks from providing relationship banking, and this in turn diminishes credit availability for new firms. Besides such an effect arising from relationship banking, the data shows evidence suggesting the statistical significance of another mechanism generating a negative correlation between the number of competing banks and credit availability for new firms, which may be explained by the theory of winner's curse. As a whole, credit availability for new firms was higher in more concentrated local credit markets in the last fifteen years in Japan.
High-Precision D-Band FMCW-Radar Sensor Based on a Wideband SiGe-Transceiver MMIC

In this paper, a miniaturized D-band frequency-modulated continuous-wave (FMCW) radar sensor with 48-GHz bandwidth (32.8%, 122-170 GHz) and a high measurement rate of > 1 kHz for multi-target vibration measurements is presented. The sensor is based on a SiGe transceiver monolithic microwave integrated circuit manufactured via Infineon's B7HF200 bipolar production technology with an fT of 170 GHz and fmax of 250 GHz. Gilbert cell, push-pull, and varactor-based doubler concepts on manufactured chips are compared, and the most promising signal source is embedded into a transceiver chip, which forms the main component of the presented radar sensor. The maximum output power of the system is ≈ -10 dBm and a phase noise of ≈ -80 dBc/Hz is achieved. Measurements are provided to demonstrate the sensor characteristics and show the promising results of FMCW radar in highest precision distance and multi-target vibration measurement applications. Due to the covered wide bandwidth, a range resolution of 5.88 mm is achieved ( -6-dB width, Tukey window). The sensor's distance measurement repeatability is 290 nm (65 nm with 10 × averaging and 0.5-m target distance), and the distance measurement accuracy is m for a target in 65-cm distance moving 1 cm. Additionally, vibration measurement results and range-Doppler plots for advanced multi-target applications are presented.
How dual-faceted disgust relates to state mental contamination in religious individuals

ABSTRACT Many faith traditions emphasise purity expectations and rituals, highlighting the possibility that mental contamination (i.e., feelings of dirtiness and urges to neutralise dirtiness that occur without direct contact with a contaminant) may be relevant to religious individuals. The current study examined disgust sensitivity (negative appraisal of disgust) as a moderator in the relationship between disgust propensity (tendency to experience disgust) and state mental contamination among religious undergraduate students (N = 146). Following a thought-induction task, state mental contamination was assessed by feelings of dirtiness, indications of body parts feeling contaminated, and urges to neutralise the feelings of dirtiness. Disgust sensitivity moderated the relationship between disgust propensity and each of the three facets of mental contamination when controlling for covariates. The interaction indicated that disgust propensity was related to each facet of mental contamination only when coupled with greater disgust sensitivity. Clinical implications are discussed.
A user-specific machine learning approach for improving touch accuracy on mobile devices

We present a flexible Machine Learning approach for learning user-specific touch input models to increase touch accuracy on mobile devices. The model is based on flexible, non-parametric Gaussian Process regression and is learned using recorded touch inputs. We demonstrate that significant touch accuracy improvements can be obtained when either raw sensor data is used as an input or when the device's reported touch location is used as an input, with the latter marginally outperforming the former. We show that learned offset functions are highly nonlinear and user-specific and that user-specific models outperform models trained on data pooled from several users. Crucially, significant performance improvements can be obtained with a small (≈200) number of training examples, easily obtained for a particular user through a calibration game or from keyboard entry data.
CCAAT/Enhancer-Binding Protein Phosphorylation Biases Cortical Precursors to Generate Neurons Rather Than Astrocytes In Vivo

The intracellular mechanisms that bias mammalian neural precursors to generate neurons versus glial cells are not well understood. We demonstrated previously that the growth factor-regulated mitogen-activated protein kinase kinase (MEK) and its downstream target, the CCAAT/enhancer-binding protein (C/EBP) family of transcription factors, are essential for neurogenesis in cultured cortical precursor cells (Ménard et al., 2002). Here, we examined a role for this pathway during cortical cell fate determination in vivo using in utero electroporation of the embryonic cortex. These studies demonstrate that inhibition of the activity of either MEK or the C/EBPs inhibits the genesis of neurons in vivo. Moreover, the MEK pathway mediates phosphorylation of C/EBPβ in cortical precursors, and expression of a C/EBPβ construct in which the MEK pathway phosphorylation sites are mutated inhibits neurogenesis. Conversely, expression of a C/EBPβ construct, in which the same sites are mutated to glutamate and therefore are “constitutively” phosphorylated, enhances neurogenesis in the early embryonic cortex. A subpopulation of precursors in which C/EBP activity is inhibited are maintained as cycling precursors in the ventricular/subventricular zone of the cortex until early in postnatal life, when they have an enhanced propensity to generate astrocytes, presumably in response to gliogenic signals in the neonatal environment. Thus, activation of an MEK-C/EBP pathway in cortical precursors in vivo biases them to become neurons and against becoming astrocytes, thereby acting as a growth factor-regulated switch.
Exploring the Value of Service-learning on Pre-service Teachers

Service-learning as a transformative pedagogy within university education is becoming increasingly popular in Australia. Advocates of service-learning indicate that the practice of combining community based voluntary work with theoretical in-class academic knowledge leads to a greater awareness about diversity and difference in students. While such claims are enticing, particularly in pre-service teacher education where there is a need for teachers to understand and embrace diversity, it is important to determine the veracity of such claims. The current study used a repeated measures design to explore whether engaging in service-learning as part of an inclusive education unit resulted in changes in pre-service teachers’ willingness to support diverse students and their sense of confidence and preparedness when teaching such students. Results revealed that fourth year pre-service teachers self-reported significantly higher levels of willingness to include diversity, confidence to support diversity, and preparedness to teach diverse students after service-learning than before. These results indicate that undertaking a service learning experience as part of an inclusive education unit in a teacher education degree may result in positive changes in students that support an inclusive approach to education.
Aerosol Effects on Cumulus Congestus Population over the Tropical Pacific: A Cloud-Resolving Modeling Study

This study examines the significance of aerosol serving as cloud condensation nuclei (CCN) in modulating strengths of tropical maritime convection. Through a Tropical Ocean Global Atmosphere Couple OceanAtmosphere Response Experiment (TOGA COARE) case study using a cloud-resolving model (the Goddard Cumulus Ensemble Model with a horizontal mesh interval of 750 m) anda d etailedspectral bin microphysical scheme, it is foundthat low aerosol concentration acts to reduce convection strengths. Over the tropical western Pacific where low-level water vapor is abundant and a ubiquitous weak stable level exists near 0° C, the low backgroundmaritime aerosol concentration is conducive for forming cumulus congestus. Sensitivity tests show that the main mechanism of convection damping in a clean maritime environment is through reduced condensational growth, although the freezing of supercooled water, cloudtop evaporation, andrain evaporation also contribute to the simulatedeffects. Consid ering the importance of congestus in tropical dynamics and the MaddenJulian oscillation (MJO) lifecycle, we further propose a hypothesis that aerosolcloudprecipitation interactions in an ultraclean marine environment may serve as a damping mechanism for tropical convection.
Effects of protease and non-starch polysaccharide enzyme on performance, digestive function, activity and gene expression of endogenous enzyme of broilers

Three hundred one-day-old male broiler chickens (Ross-308) were fed corn-soybean basal diets containing non-starch polysaccharide (NSP) enzyme and different levels of acid protease from 1 to 42 days of age to investigate the effects of exogenous enzymes on growth performance, digestive function, activity of endogenous digestive enzymes in the pancreas and mRNA expression of pancreatic digestive enzymes. For days 1-42, compared to the control chickens, average daily feed intake (ADFI) and average daily gain (ADG) were significantly enhanced by the addition of NSP enzyme in combination with protease supplementation at 40 or 80 mg/kg (p<0.05). Feed-to-gain ratio (FGR) was significantly improved by supplementation with NSP enzymes or NSP enzyme combined with 40 or 80 mg/kg protease compared to the control diet (p<0.05). Apparent digestibility of crude protein (ADCP) was significantly enhanced by the addition of NSP enzyme or NSP enzyme combined with 40 or 80 mg/kg protease (p<0.05). Cholecystokinin (CCK) level in serum was reduced by 31.39% with NSP enzyme combined with protease supplementation at 160 mg/kg (p<0.05), but the CCK level in serum was increased by 26.51% with NSP enzyme supplementation alone. After 21 days, supplementation with NSP enzyme and NSP enzyme combined with 40 or 80 mg/kg protease increased the activity of pancreatic trypsin by 74.13%, 70.66% and 42.59% (p<0.05), respectively. After 42 days, supplementation with NSP enzyme and NSP enzyme combined with 40 mg/kg protease increased the activity of pancreatic trypsin by 32.45% and 27.41%, respectively (p<0.05). However, supplementation with NSP enzyme and 80 or 160 mg/kg protease decreased the activity of pancreatic trypsin by 10.75% and 25.88%, respectively (p<0.05). The activities of pancreatic lipase and amylase were significantly higher in treated animals than they were in the control group (p<0.05). Supplementation with NSP enzyme, NSP enzyme combined with 40 or 80 mg/kg protease increased pancreatic trypsin mRNA levels by 40%, 44% and 28%, respectively. Supplementation with NSP enzyme and 160 mg/kg protease decreased pancreatic trypsin mRNA levels by 13%. Pancreatic lipase and amylase mRNA expression were significantly elevated in treated animals compared to the control group (p<0.05). These results suggest that the amount of NSP enzyme and acid protease in the diet significantly affects digestive function, endogenous digestive-enzyme activity and mRNA expression in broilers.
Suitable Reference Genes for Accurate Gene Expression Analysis in Parsley (Petroselinum crispum) for Abiotic Stresses and Hormone Stimuli

Parsley, one of the most important vegetables in the Apiaceae family, is widely used in the food, medicinal, and cosmetic industries. Recent studies on parsley mainly focus on its chemical composition, and further research involving the analysis of the plant's gene functions and expressions is required. qPCR is a powerful method for detecting very low quantities of target transcript levels and is widely used to study gene expression. To ensure the accuracy of results, a suitable reference gene is necessary for expression normalization. In this study, four software, namely geNorm, NormFinder, BestKeeper, and RefFinder were used to evaluate the expression stabilities of eight candidate reference genes of parsley (GAPDH, ACTIN, eIF-4α, SAND, UBC, TIP41, EF-1α, and TUB) under various conditions, including abiotic stresses (heat, cold, salt, and drought) and hormone stimuli treatments (GA, SA, MeJA, and ABA). Results showed that EF-1α and TUB were the most stable genes for abiotic stresses, whereas EF-1α, GAPDH, and TUB were the top three choices for hormone stimuli treatments. Moreover, EF-1α and TUB were the most stable reference genes among all tested samples, and UBC was the least stable one. Expression analysis of PcDREB1 and PcDREB2 further verified that the selected stable reference genes were suitable for gene expression normalization. This study can guide the selection of suitable reference genes in gene expression in parsley.
RF fingerprint extraction from the energy envelope of an instantaneous transient signal

RF fingerprinting is a technique, where a transmitter is identified from its electromagnetic emission. Most existing RF fingerprinting techniques require high sampling rates. This paper introduces a novel technique, which is effective at low sampling rates. This make RF fingerprinting more practical for resource constrained devices such as mobile transceivers. The technique is demonstrated with Bluetooth transceivers. A data acquisition system is designed to capture the Bluetooth signals in the 2.4GHz ISM band. A Spectrogram utilizing the Short Time Fourier Transform is used to obtain the energy envelope of the instantaneous transient signal and unique features are extracted from the envelope. The technique adopted for identification of the Bluetooth transmitters has shown promising results as compared to the reported techniques in the literature and have accurately classified the Bluetooth transmitters at low sampling rates.
Large-Scale Vector Data Visualization using High Performance Computing

In computational flow visualization, integration based geometric flow visualization is often used to explore the flow field structure. A typical time-varying dataset from a Computational Fluid Dynamics (CFD) simulation can easily require hundreds of gigabytes to even terabytes of storage space, which creates challenges for the consequent data-analysis tasks. This paper presents new techniques for visualization of extremely large time-varying vector data using high performance computing. The high level require-ments that guided the formulation of the new techniques are (a) support for large dataset sizes, (b) support for temporal coherence of the vector data, (c) support for distributed memory high performance computing and (d) optimum utilization of the computing nodes with multi-cores (multi-core processors). The challenge is to design and implement techniques that meet these complex requirements and bal-ance the conflicts between them. The fundamental innova-tion in this work is developing efficient distributed visualiza-tion for large time-varying vector data. The maximum performance was reached through the parallelization of mul-tiple processes on the multiple cores of each computing node. Accuracy of the proposed techniques was confirmed compared to the benchmark results. In addition, the pro-posed techniques exhibited acceptable scalability for differ-ent data sizes with better scalability for the larger ones. Finally, the utilization of the computing nodes was satisfactory for the considered test cases.
Simulation of Soft X-Ray Emission Lines from the Missing Baryons

We study the soft X-ray emission (0.1-1 keV) from the warm-hot intergalactic medium (WHIM) in a hydrodynamic simulation of a cold dark matter universe. Our main goal is to investigate how such emission can be explored with a combination of imaging and spectroscopy and to motivate future X-ray missions. We first present high-resolution images of the X-ray emission in several energy bands in which emission from different ion species dominates. We pick three different areas to study the high-resolution spectra of X-rays from the WHIM: (1) a galaxy group, (2) a filament, and (3) an underluminous region. By taking into account the background X-ray emission from AGNs and foreground emission from the Galaxy, we compute composite X-ray spectra of the selected regions. We briefly investigate angular clustering of the soft X-ray emission, finding a strong signal. Most interestingly, the combination of high spectral resolution and angular information allows us to map the emission from the WHIM in three dimensions. We cross-correlate the positions of galaxies in the simulation with this redshift map of emission and detect the presence of six different ion species (Ne IX, Fe XVII, O VII, O VIII, N VII, and C VI) in the large-scale structure traced by the galaxies. Finally, we show how such emission can be detected and studied with future X-ray satellites, with particular attention to a proposed mission, the Missing Baryon Explorer (MBE). We present simulated observations of the WHIM gas with MBE.
Bayesian Optimal Control of Smoothly Parameterized Systems

We study Bayesian optimal control of a general class of smoothly parameterized Markov decision problems (MDPs). We propose a lazy version of the so-called posterior sampling method, a method that goes back to Thompson and Strens, more recently studied by Osband, Russo and van Roy. While Osband et al. derived a bound on the (Bayesian) regret of this method for undiscounted total cost episodic, finite state and action problems, we consider the continuing, average cost setting with no cardinality restrictions on the state or action spaces. While in the episodic setting, it is natural to switch to a new policy at the episode-ends, in the continuing average cost framework we must introduce switching points explicitly and in a principled fashion, or the regret could grow linearly. Our lazy method introduces these switching points based on monitoring the uncertainty left about the unknown parameter. To develop a suitable and easy-to-compute uncertainty measure, we introduce a new "average local smoothness" condition, which is shown to be satisfied in common examples. Under this, and some additional mild conditions, we derive rate-optimal bounds on the regret of our algorithm. Our general approach allows us to use a single algorithm and a single analysis for a wide range of problems, such as finite MDPs or linear quadratic regulation, both being instances of smoothly parameterized MDPs. The effectiveness of our method is illustrated by means of a simulated example.
Hamiltonian Symmetries and Reduction in Generalized Geometry

A closed 3-form H ∈ Ω0(M) defines an extension of Γ(TM) by Ω0(M). This fact leads to the definition of the group of H-twisted Hamiltonian symmetries Ham(M, J;H) as well as Hamiltonian action of Lie group and moment map in the category of (twisted) generalized complex manifold. The Hamiltonian reduction in the category of generalized complex geometry is then constructed. The definitions and constructions are natural extensions of the corresponding ones in the symplectic geometry. We describe cutting in generalized complex geometry to show that it’s a general phenomenon in generalized geometry that topology change is often accompanied by twisting (class) change.
Foreign Accent and Toddlers’ Word Learning: The Effect of Phonological Contrast

ABSTRACT Prior work demonstrated that toddlers can learn words from a speaker with a foreign accent and generalize that learning to the native accent when the accented variation does not cross phoneme boundaries. The current study explores the situation in which a vowel in the foreign accent is produced such that it could be confused with a different intended vowel in the native accent. Children were taught two new word-object pairings by a foreign-accented speaker; when vowels were produced similarly across accents, toddlers aged 32 months successfully accommodated a change in accent between training and test; when a novel word contained a vowel that was more affected by accent, toddlers did not later recognize the words in their native accent. This suggests that toddlers may face added difficulty when learning words from speakers of different accents when there is the potential for phonetic confusion across vowels.