Miracle-dz/UniFAR-FTUs huggingface dataset:
Stability of general two-dimensional recursive digital filters

Two-dimensional recursive filters are defined from a different point of view. A general stability preserving mapping theorem is presented which allows most recursive filters of a particular type to be mapped into any other type of recursive filter. In particular, any type of filter can be mapped into a first-quadrant filter. This mapping is used to prove a number of general stability theorems. Among these is a theorem which relates the stability of any digital filter to its two-dimensional phase function. Furthermore, other stability theorems which are valid for any type of recursive filter are presented. Finally, a number of practical stability tests are developed including one which requires the testing of only several one-dimensional polynomial root distributions with respect to the unit circle.
Wideband frequency metrology using high temperature superconducting Josephson junctions

We have studied the responses of high temperature superconducting (HTS) Josephson junctions to monochromatic and polychromatic electromagnetic irradiations from 50 GHz to 4.25 THz. The highest operating frequency and the maximum value of normalized response are shown to be proportional to the I/sub C/R/sub N/ product of the junction, where I/sub C/ and R/sub N/ are the critical current and normal resistance of the junction, respectively. Using a junction with I/sub C/R/sub N/ of 330 /spl mu/V, direct detections of monochromatic irradiations from 76 GHz to 3.1 THz have been obtained, indicating that fast detectors can be realized to cover around 50 : 1 frequency band by operating only one junction at one temperature. Also reported are the superposition of polychromatic signals, as well as some possible applications of the system.
On the Stability of a Compressible Axial Flow with an Axial Magnetic Field

We consider the stability problem of inviscid compressible axial flows with axial magnetic fields following the work of Dandapat and Gupta (Quarterly of Applied Mathematics, 1975). A numerical study of the stability of some basic flows has been carried out and it is found that an increase in the magnetic field strength has a stabilizing effect on subsonic flows and a destabilizing effect on supersonic flows. An analytical study of the stability problem has also been done in the present paper, but this analytical study is restricted by the approximation and , where is the Mach number and is the imaginary part of the complex phase velocity . A semicircular region depending on the magnetic field parameter and the Mach number is found for subsonic disturbances and as a consequence it is found that sufficiently strong magnetic field stabilizes all subsonic disturbances. Under a weak magnetic field, it is shown that short subsonic disturbances are stable.
A cloud scheme for data assimilation: Description and initial tests

A new cloud scheme has been developed specifically for the purposes of variational data assimilation, a task complicated by the inherent nonlinearity of many cloud processes. The aim was to retain the most important features of the ECMWF nonlinear cloud scheme, while removing much of the complexity and as many of the discrete transitions as possible. The scheme thus retains a simplified link to convective detrainment, and uses a similar formulation for the production of precipitation. A flexible statistical cloud scheme approach is used, where the diagnosis of stratiform cloud fraction and condensate amount depend on assumptions concerning subgrid‐scale fluctuations. A novel aspect of the new scheme is the treatment of precipitation evaporation that specifically takes this subgrid distribution of humidity variability into account.
Associations between eHealth literacy, mental health-seeking attitude, and mental wellbeing among young electronic media users in China during the COVID-19 pandemic

Objective This study aimed to examine the associations among mental health related eHealth literacy (eHL), mental health-seeking attitude, and wellbeing among Chinese young electronic media users during the COVID-19 pandemic. Methods A web-based cross-sectional survey was conducted in Guangzhou, China. The modified eHealth literacy Scale, Mental Help-Seeking Attitudes Scale, and Short Warwick-Edinburgh Mental Wellbeing Scale were used. Structural equation modeling (SEM) examined the associations between them and was adjusted by several controlled variables. Results Totally, 1,008 participants completed the questionnaire and provided valid responses. The eHL showed a statistically significant and direct effect on mental wellbeing in this sample. The higher the level of eHL, the better wellbeing of the participants. The mental health-seeking attitude is also positively correlated with mental wellbeing, indicating that the more positive attitude toward seeking mental health services, the better the wellbeing participants reported. The higher level of eHL is significantly associated with a more positive attitude toward seeking mental health services. Conclusion Training to improve eHL may optimize young electronic media users' mental health outcomes. Development and use of a mental health specific eHL instrument in future studies should be encouraged.
Tryptophan metabolism as bridge between gut microbiota and brain in chronic social defeat stress-induced depression mice

Backgrounds Gut microbiota plays a critical role in the onset and development of depression, but the underlying molecular mechanisms are unclear. This study was conducted to explore the relationships between gut microbiota and host’s metabolism in depression. Methods Chronic social defeat stress (CSDS) model of depression was established using C57BL/6 male mice. Fecal samples were collected from CSDS group and control group to measure gut microbiota and microbial metabolites. Meanwhile, tryptophan metabolism-related metabolites in hippocampus were also analyzed. Results CSDS successfully induced depressive-like behaviors in CSDS group. The 24 differential bacterial taxa between the two groups were identified, and 14 (60.87%) differential bacterial taxa belonged to phylum Firmicutes. Functional analysis showed that tryptophan metabolism was significantly affected in CSDS mice. Meanwhile, 120 differential microbial metabolites were identified, and two key tryptophan metabolism-related metabolites (tryptophan and 5-hydroxytryptophan (5-HTP)) were significantly decreased in feces of CSDS mice. The correlation analysis found the significant relationships between tryptophan and differential bacterial taxa under Firmicutes, especially genus Lactobacillus (r=0.801, p=0.0002). In addition, the significantly decreased 5-hydroxytryptamine (5-HT) in hippocampus of depressed mice was also observed. Conclusions Our results showed that tryptophan metabolism might have an important role in the crosstalk between gut microbioa and brain in depression, and phylum Firmicutes, especially genus Lactobacillus, might be involved in the onset of depression through regulating tryptophan metabolism.
Transmission properties of a two-dimensional photonic crystal slab with an excitonic resonance

The transmission properties of a 2-D photonic crystal slab with an exciton resonance are investigated experimentally and theoretically. Good agreement between experiment and scattering matrix based theory is obtained. The photonic crystal slab is composed of a square lattice of etched square holes in a quartz substrate, filled by an inorganic-organic semiconductor and covered by a polystyrene guiding film. We demonstrate that the transmissivity of the structure shows pronounced dips, which originate from the excitation of quasi-guided modes in the photonic crystal slab. The measured and calculated angular dependence of the energy of these dips and their optical activity allow us to identify the physical properties of the quasi-guided modes, such as their symmetry and distribution of electromagnetic field.
Deep evidential learning in diffusion convolutional recurrent neural network

Graph neural networks (GNNs) is applied successfully in many graph tasks, but there still exists a limitation that many of GNNs model do not consider uncertainty quantification of its output predictions. For uncertainty quantification, there are mainly two types of methods which are frequentist and Bayesian. But both methods need to sampling to gradually approximate the real distribution, in contrast, evidential deep learning formulates learning as an evidence acquisition process, which could get uncertainty quantification by placing evidential priors over the original Gaussian likelihood function and training the NN to infer the hyperparameters of the evidential distribution without sampling. So evidential deep learning (EDL) has its own advantage in measuring uncertainty. We apply it with diffusion convolutional recurrent neural network (DCRNN), and do the experiment in spatiotemporal forecasting task in a real-world traffic dataset. And we choose mean interval scores (MIS), a good metric for uncertainty quantification. We summarized the advantages of each method.
The identity of Stenorhabdium temporale Werner, 1909 (Serpentes: Colubroidea)

Re-examination of the type material of Ligonirostra Stuhlmanni Pfeffer, 1893 (original spelling, now Prosymna stuhlmanni) and comparison with the sole type specimen of its synonym Stenorhabdium temporale Werner, 1909 revealed a number of significant morphological differences between these taxa. Detailed analyses of pholidosis and osteology of comparative material show that S. temporale is in fact a subjective junior synonym of Pseudorabdion longiceps (Cantor, 1847). A lectotype and a paralectotype of Ligonirostra stuhlmanni are designated and described.
Evaluation of Online Critical Care Fellowship Programs

Background The objective of this study was to assess the accessibility and content of the critical care fellowship websites provided on the Electronic Residency Application Services (ERAS) website. Methods Using the online information provided by ERAS, we compiled a list of Accreditation Council for Graduate Medical Education (ACGME)-accredited critical care fellowship programs. Each of the links provided by ERAS was evaluated by a standard search on Google as follows: the program name + “critical care fellowship”. After assembling the working links, those websites were subsequently evaluated based on the program description, application process, and educational content. Results We reviewed 59 critical care fellowship programs that were obtained from ERAS. Of the 59 programs, one retracted its participation and was not included in the study, and six other programs were excluded due to repeated links on ERAS, nonworking links, and websites without any content. We analyzed the data collected from the remaining 52 programs. Our data shows a general lack of information being provided to prospective critical care candidates. Conclusions ERAS is a major source of information for prospective fellows looking for critical care fellowships in the current match. Unfortunately, the majority of the programs evaluated lack substantial information for prospective candidates. Despite many websites containing adequate information regarding program descriptions, there was a lack of information regarding the application process and educational activities.
The Role Of Management Ownership In Moderating The Effect Of Liquidity On Firm Value

This study aims to analyze the role of management ownership in moderating the effect of liquidity on firm value in Manufacturing Companies on the Indonesia Stock Exchange for the 2017 – 2021 period. Using purposive sampling, 135 companies were selected as research samples. The data was processed by multiple regression analysis using help of the IBM SPSS Statistic 26 application. The results showed that liquidity had no significant positive effect on firm value. The results of testing the moderating variable indicate that management ownership does not moderate the effect of liquidity on firm value. The managerial implication is the existence of managerial policies that can be carried out by management in an effort to increase the value of the company. The level of liquidity ratio needs to be maintained in a safe position to ensure the company's ability to meet short-term obligations, but does not cause large amounts of idle funds.
FIRST-BREAK INTERPRETATION USING GENERALIZED LINEAR INVERSION

ABSTKACI . The comput”Go” ofdetailed near-surface informj,,cu,a,ed by ray-tracing. Two advantages of the GLI algorithm “vu previous appmache\ arc what the full redundancy of observed breaks reduces the sensitivity ofthe s”luti”n LO pickingerrors. and lhat Ihe final answer is constrained t” be re”wnably chxe to the input geological model. The paper is divided in10 four pwts. In Ihe first part. we describe the procedure concep\u+ I” the second. we look m”w closely al the theory ofthe algorithm. I” the third. model rewlfs are show” which demonstrate the convergence of rhe method through rewul iterations. Finally. Ihe fourth par! of thepaperrhowithe peti”rma”ceofthe merhodon sever,, 1-4 data euam,3e\. The presence of shallow, low-velocity weathering anomalies can cause serious problems in the processing of seismic data. This paper is concerned with compensating for these effects by estimating a set of static corrections using refracted xrivals. Two of the major effects that result from such nearsurfxe conditions are the deteriot-ation ofthe stack due to misalignment within the CDP, and distortion in the structural times of deep retlectors. Both these effects result from time delays introduced by geological layers of varying velocity and thickness. If this time delay pattern is Fourier-analyred, it may be shown that components whose wavelength is shorter than the cable are
Evaluation of Spatio-Temporal Changes in Water Quality in the Middle Section of Shatt Al-Arab River, Southern Iraq

The Shatt al-Arab river is the main water source in the Basrah province, subjected to significant environmental and hydrological changes that have led to the complete degradation of its ecosystem, particularly the middle sec - tion. Nineteen water quality variables were selected to assess spatio-temporal changes in the middle section. Eight variables were chosen with the most significant impact on the Shatt al-Arab River water quality in calculating the water quality index (WQI). These variables were measured every month from December 2020 to November 2021 at five observation stations (Abu-Flous, Mhela, Baradeyea and Maqal) located on the main river and one on the Karmat Ali canal, which connects the Shatt al-Arab River with east Hammar marsh. The study was divided into two seasons of the year, the wet season (December 2020 – May 2021) and the dry season (July 2021 – November 2021), in the calculation of the WQI and its annual calculation. The results of the current study show deterioration in the values of most water quality variables, particularly those related to dissolved salts and organic and bacterial pollution. Water quality was also classified as poor on the WQI scale at all stations for the duration of the study. The results of the WQI indicated the deterioration in the quality of the water middle section, particularly during dry season. The degradation of the waters of the middle section of the Shatt al-Arab River is due to two main factors: increase salinity and organic pollution. In general, the Shatt al-Arab River and the middle section in particular, need comprehensive management, including a clear and expeditious plan to identify and address the degradation of the river’s environment, which has a great importance to all residents of the Basrah province.
Developing Public Health Promotion Strategies for Social Networking Sites: Perspectives of Young Immigrant Women in Norway

Background: Social networking sites (SNS) have emerged as digital settings for youth participation and health promotion. Understanding the complex dynamic of analog/digital participation has become crucial for settings-based health promotion strategies that aim to enable people to increase control over their health and environments. Previous research demonstrates that SNS influence young people’s health in complex ways, but less is known about how processes related to intersectionality are reflected in digital settings. This study asked the following question: how do young women with immigrant backgrounds experience and navigate SNS and how can this inform settings-based health promotion strategies? Methods: The study included three focus groups with 15 women aged 16–26 years and used thematic content analysis. Findings and conclusion: Young women with immigrant backgrounds reported that transnational networks provided a sense of belonging. However, their presence on SNS strengthened negative social control and had consequences for endeavors to connect with local peers in both digital and analog settings. Both challenges and resources were amplified. The participants reported that sharing strategies to navigate complex networks was useful; they emphasized the importance of anonymous chats, they shared health-related information with extended networks with lower e-literacy, and they saw opportunities for the cocreation of health promotion strategies.
On the relationship between the social brain, social connectedness, and wellbeing

The emergence of social neuroscience in the past two decades has offered a useful neurocognitive framework for understanding human social behavior. Of importance, social neuroscience research aimed to provide mechanistic explanations for the established link between wellbeing and social behavioral phenomena–particularly those reflective of social connectedness. Here, we provide an overview of the relevant literature focusing on recent work using functional magnetic resonance imaging (fMRI). In general, fMRI research demonstrated that aspects of social connectedness that are known to either positively (e.g., social acceptance) or negatively (e.g., social isolation) impact wellbeing also modulated the activity of subcortical reward system accordingly. Similar modulatory influence was found for the activity of other brain regions such as the medial prefrontal cortex, which are typically regarded as components of the “social brain” that support a wide range of functions related to social cognition and behavior. Elucidating such individual differences in brain activity may shed light onto the neural underpinnings of the link between social connectedness and wellbeing.
New exploration of creativity: Cross-validation analysis of the factors influencing multiteam digital creativity in the transition phase

Multiteam digital creativity (MTDC) is a new domain of creativity study that fits the new developments of the digital era, thus scholars have called for exploring MTDC in the fine-graining phase. This paper responds to this call, and adopts two studies and cross-validation analysis to explore the theoretical framework of the impact factors of MTDC in the transition phase. Study 1 adopts the qualitative analysis method of rooted theory to explore a more comprehensive impact factor and to maximize the new theory’s saturation. Study 2 adopts the CL-WG DEMATEL method, one analysis method of group decision-making and optimized concept lattice, which could cross-validation analyze the results of Study 1 and further determine the importance of the factors. The results of the studies indicate that the influencing factors of MTDC are multilevel, and the factors such as the organizational digital climate, team psychological empowerment, individual digital cognition and emotion, and leadership competence have greater impacts on MTDC. This indicates that the transition phase has a unique internal mechanism. This paper constructs a theoretical framework of factors influencing MTDC in the transition phase and provides new theoretical and practical references for how organizations could fully stimulate MTDC in the digital era. In addition, the cross-validated analytical method further enriches the study tools in the domain of organizational behavior.
Childhood adverse events and BDNF promoter methylation in later-life

Studies have shown that the effects of early-life stress and trauma can be enduring, with long-term negative effects on health. Epigenetics, including DNA methylation, have been implicated as a potential mechanism for these effects. Brain-derived neurotropic factor (BDNF) is a neurotransmitter involved in learning and memory, and altered BDNF promoter methylation measured in peripheral tissue has been found with early-life stress. However, whether such methylation differences remain stable into later life, is unknown. This study aimed to investigate the association between childhood adversity and BDNF promoter methylation in adults aged 65 years and over. Data came from a large study of older community-dwelling individuals in France (ESPRIT). Information on three major childhood adverse events, namely abuse/maltreatment, war/natural disaster, and financial difficulties/poverty, was obtained by retrospective reporting from participants of ESPRIT study. BDNF promoter I and IV methylation was assessed in blood and buccal tissue. Linear regression analysis was performed, adjusting for age, sex, education, depression, and morbidity. Among 927 participants, there was no strong evidence that childhood abuse/maltreatment or financial difficulties/poverty were associated with BDNF methylation in older individuals. For war/natural disaster, differential methylation at four of twenty-nine CpG sites was observed, however, these would not have remained significant after correction for multiple testing. Together, these findings do not support a long-term association between adverse childhood events and BDNF methylation in older age, but further large prospective studies are needed, which do not target specific genes, but consider DNA methylation across the genome.
Theoretical investigation of the interaction of ultra-high intensity laser pulses with near critical density plasmas

A theoretical model of energy transfer from laser to particles in the ultra-high intensity regime of laser plasma interaction is proposed, assuming that most of the laser energy will be transferred to hot electrons. Varying the target density and thickness, the optimal parameters for the maximum conversion efficiency of the laser energy to particles are studied. Through 2D particle-in-cell simulations, the model is validated for a near-critical density plasma between 0.5−20nc (where nc=1.1⋅1021 cm−3 is the critical density for a laser wavelength of λ=1 μ m) irradiated by a laser pulse of intensity in the range 1020–1023 W cm−2 and the pulse duration in the range 6.5–100 fs. As an application to this model, laser ion acceleration is studied for a laser intensity of 1022 W cm−2 and a pulse duration of 20 fs. Based on the literature and new findings from our model, the optimum thickness for ion acceleration and the maximum ion energies for an expansion like mechanism are predicted. These results can be used for applications requiring high energy ions and for preparations of experiments at the Apollon and ELI laser facilities.
The University of Michigan Radio Astronomy Data Base. I. Structure Function Analysis and the Relation between BL Lacertae Objects and Quasi-stellar Objects

A structure function analysis on a well-observed group of variable extragalactic sources, monitored in total and polarized flux in the centimeter waveband since 1965, has been performed. Total flux structure functions of BL Lac objects and QSOs exhibit very similar power-law slopes, suggesting that the same processes are responsible for the variability in both types of source. In view of the recent success of the shocked-jet model for radio source variability, it is argued that the current work provides circumstantial evidence for the ubiquity of such shocked flows