Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling of a Cascaded Mid-Infrared Fiber Laser at 2.78 μm and 3.44 μm Dual-Wavelength Pumped at 0.98 μm and 1.15 μm

A novel 0.98 μm and 1.15 μm dual-wavelength pumping scheme for cascaded mid-infrared Er-doped ZBLAN fiber laser at 3.44 μm and 2.78 μm is proposed and analyzed by a detailed theoretical model. In our pumping scheme, the <sup>4</sup>I<sub>13/2</sub> level (the lower level of 2.78 μm laser), which is taken as a virtual ground state, is first populated by 976 nm pump and 2.78 μm transition. The 1150 nm virtual ground state absorption (VGSA), corresponding to <sup>4</sup>I<sub>13/2</sub>→<sup>4</sup>F<sub>9/2</sub> transition, excites the Er ions accumulated in <sup>4</sup>I<sub>13/2</sub> level to <sup>4</sup>F<sub>9/2</sub> level (the upper level of 3.44 μm laser), emptying the <sup>4</sup>I<sub>13/2</sub> level as well as providing positive gain for 3.44 μm laser. Followed by the 3.44 μm laser transition, the Er ions would rapidly decay to <sup>4</sup>I<sub>11/2</sub> level (the upper level of 2.78 μm laser) via nonradiative transition, realizing the re-population of <sup>4</sup>I<sub>11/2</sub> level and enhancing the 2.78 μm laser gain. Hence, a cycling of Er ions between <sup>4</sup>I<sub>13/2</sub> level and <sup>4</sup>F<sub>9/2</sub> level, which includes both 2.78 μm and 3.44 μm laser transitions, is realized via the <sup>4</sup>I<sub>13/2</sub>→<sup>4</sup>F<sub>9/2</sub> VGSA. An interesting point in our proposed pumping scheme is that both the 2.78 μm and 3.44 μm laser power are dominantly contributed by the VGSA pump, while the main role of 976 nm pump is to provide initial population to sustain the ions cycling. By optimizing the wavelength of VGSA pump, dual-wavelength pump power ratio and laser cavity parameters, the overall optical efficiency of the two laser output power with respect to pump power could be improved to over 55%. This work provides a new insight on the cascaded mid-infrared fiber laser and also a promising pumping scheme for efficient 2.78 μm and 3.44 μm laser generation simultaneously from single Er-doped ZBLAN fiber.
Stability of weakly dissipative Reissner–Mindlin–Timoshenko plates: A sharp result

In the present article, we show that there exists a critical number that stabilizes the Reissner–Mindlin–Timoshenko system with frictional dissipation acting on rotation angles. We identify two speed characteristics v 1 2:=K/ρ1 and v 2 2:=D/ρ2, and we show that the system is exponentially stable if and only if \begin{equation*} v_{1}^{2}=v_{2}^{2}. \end{equation*} For v 1 2 ≠ v 2 2, we prove that the system is polynomially stable and determine an optimal estimate for the decay. To confirm our analytical results, we compute the numerical solutions by means of several numerical experiments by using a finite difference method.
Exploring the nexus of social support, work–life balance and life satisfaction in hybrid work scenario in learning organizations

Purpose The purpose of this paper is to examine the nexus of social support (SS), work–life balance (WLB) and satisfaction with life (SWL) in hybrid work (HW) scenario in learning organizations. Design/methodology/approach The data were collected via questionnaire method from 531 employees working in learning organizations (IT/ITES sector) in India. The hypotheses were tested using hierarchical regression. Findings The findings of the study showed that HW was positively related to SS dimensions, WLB and SWL. Further, the study established the mediating role of SS between HW and WLB as well as WLB as a mediator between HW-SWL relationships. Research limitations/implications This study has certain limitations owing to the cross-sectional nature of the data and the specific sector under study. The findings have significant implications for policy making to determine the conditions under which both employees and organizations can benefit from HW. Further, the study has implications for uncertain and volatile environments as had been created by COVID-19 pandemic, where HW arrangements may not be a choice but become necessity. Originality/value This study contributes to the conservation of resources theory. It identifies the importance of true autonomy and flexibility for employees.
Enzymatic Analysis and Characterization of Bromelain from Two Varieties of Pineapple (Ananas comosus) Fruit and Stem Extracts

This study was designed to examine the presence of enzymatic activity of fruit and stem bromelain extracted from two varieties of pineapple (Ananas comosus): Morris and Sarawak. The bromelain crude extract obtained from fruits and stems were tested for their protein content via Bradford’s assay, and both crude extract from Morris variety showed the highest value. Further analysis was done to investigate the proteolytic activity of the crude fruit and stem bromelain, resulting in Morris variety having the highest activity for fruit bromelain, while Sarawak variety having the highest activity for stem bromelain. The Gelatin Digestion Unit (GDU) analysis performed revealed both fruit and stem bromelain from Morris variety exhibited the highest activity. Furthermore, the temperature optimization showed that both fruit bromelain of Morris and Sarawak varieties were optimum at 35 ℃, while stem bromelain from both pineapple varieties were optimum at 45 ℃. Meanwhile, the optimum value of the pH for Sarawak variety extract of fruit and stem bromelain were found at pH 5.6, while Morris variety were optimum at pH 6.6. These results indicated both varieties of pineapple extracts of fruits and stems were having bromelain enzyme that can be further developed for application at industrial level.
User Satisfaction Levels about m-Health Application for Growth Monitoring and Children's Development in Yogyakarta, Indonesia

Background: The level of user satisfaction with the m-health application has a significant impact on its long-term viability. Aims: This study aims to determine user satisfaction levels about m-health applications for growth monitoring and children's development in Yogyakarta, Indonesia. Methods: This was a cross-sectional study conducted from May to November 2022 in Yogyakarta, Indonesia. The satisfaction survey was conducted on 100 respondents in Yogyakarta, Indonesia using the RASCH method with a mean rating of 1 2 3 4, from very disagree until very agree. Results: This finding showed that using RASCH method with 14 criteria the mean rate of user satisfaction is 3.5±1.5. The lowest rating is about the app's usage time suits me (3.1±1.4) and the highest rating is about the ease of use and I have many information about children health care (3.5±1.2 and 3.5±1.5 respectively). Conclusion: Based on user satisfaction evaluation tests, overall are good, for ease of use, helpfull time friendly, comfort, and providing information swiftly and properly. Futher this application needs policies to support children's health programs extensively.
Revisiting temperature sensitivity: how does Antarctic precipitation change with temperature?

Abstract. With progressing global warming, snowfall in Antarctica is expected to increase, which could counteract or even temporarily overcompensate increased ice-sheet mass losses caused by increased ice discharge and melting. For sea-level projections it is therefore vital to understand the processes determining snowfall changes in Antarctica. Here we revisit the relationship between Antarctic temperature changes and precipitation changes, identifying and explaining regional differences and deviations from the theoretical approach based on the Clausius–Clapeyron relationship. Analysing the latest estimates from global (CMIP6, Coupled Model Intercomparison Project Phase 6) and regional (RACMO2.3) model projections, we find an average increase of 5.5 % in annual precipitation over Antarctica per degree of warming, with a minimum sensitivity of 2 % K−1 near Siple Coast and a maximum sensitivity of > 10 % K−1 at the East Antarctic plateau region. This large range can be explained by the prevailing climatic conditions, with local temperatures determining the Clausius–Clapeyron sensitivity that is counteracted in some regions by the prevalence of the coastal wind regime. We compare different approaches of deriving the sensitivity factor, which in some cases can lead to sensitivity changes of up to 7 percentage points for the same model. Importantly, local sensitivity factors are found to be strongly dependent on the warming level, suggesting that some ice-sheet models which base their precipitation estimates on parameterisations derived from these sensitivity factors might overestimate warming-induced snowfall changes, particularly in high-emission scenarios. This would have consequences for Antarctic sea-level projections for this century and beyond.
An improved RANSAC algorithm for line matching on multispectral images

This paper proposes a method for removing mismatched lines on multispectral images. The inaccurate detection of ending points brings a great challenge for matching lines since corresponding lines may not be integrally extracted. Due to the inaccurate detection of ending points, lines are usually mismatched with the line description. To eliminate the mismatched lines, we employ a modified RANSAC (Random Sample Consensus) consisting of two steps: (1) pick three line matches randomly and determine their intersections, which are used to calculate a transformation; (2) the best transformation is obtained by sorting the matching score of line matches and then the inliers are declared as the correct matches. Experimental results show that the proposed method can effectively remove incorrect matches on multispectral images.
Women mayors in the Slovak Republic in the last two decades: The municipalities size category perspective

Women mayors in the Slovak Republic in the last two decades: The municipalities size category perspective This paper presents the numeric representation of women mayors in 2,926 Slovak mu- nicipalities in the period 2002 – 2022, covering six election periods concerning the municipalitiesʼ size. The accelerating increase of women mayors is unveiled, but the municipalitiesʼ size matters. The paper examines the development of the share of wo - men mayors among municipal mayors in the Slovakia and focuses on the hypo - thesis, that there are fewer women mayors in larger municipalities. The woman mayor variable is examined regarding selected socio - economic, demographic, political, and geo- graphic variables employing logistic analysis. Results of the logit and probit models support the research hypothesis of the decrease in the number of women mayors with an increase in the municipalitiesʼ size. The negative relationship between the size category of the municipality and women mayors is caused by the higher share of women mayors in small municipalities, while with an increase in the size category of the municipality, women mayors became rare. It supports the expectation, that men still pre- dominate in the leadership of large municipalities.
Large Sample Covariance Matrices of Concentrated Vectors

The present work provides an original framework for random matrix analysis based on revisiting the concentration of measure theory for random vectors. By providing various notions of vector concentration (linear, $q$-exponential, quasiconvex), a set of elementary tools is laid out that allow for the immediate extension of classical results from random matrix theory involving random concentrated vectors in place of vectors with independent entries. These findings are exemplified here in the context of sample covariance matrices but find a large range of applications in statistical learning and beyond, starting with the capacity to analyze the performance of artificial neural networks and random feature maps.
COVID-Inconfidentes - SARS-CoV-2 seroprevalence in two Brazilian urban areas in the fourth quarter 2020: study protocol and initial results

Objective: To describe study protocol and initial results of research project COVID-Inconfidentes. Method: This paper described the methodological procedures adopted and the prevalence of the SARS-CoV-2 infection in the population. A household survey was conducted between October and December 2020, in two historic cities of Brazil's mining region. Anti-SARS-CoV-2 antibody was detected using the Wondfo® rapid test. The face-to-face interview consisted of administration of a questionnaire containing registration data, sociodemographic and economic variables, living habits, general health condition, mental health, sleep habits, and eating and nutrition. Results: We evaluated 1,762 residents, of which 764 (43.4 %) were in Mariana and 998 (56.6 %) in Ouro Preto. For both cities, 51.9 % of the interviewees were female, with a predominance of the age range 35 to 59 years old (47.2 %). The prevalence of the SARS-CoV-2 infection was 5.5 % in both cities, 6.2 % in Ouro Preto, and 4.7 % in Mariana (p-value > 0.05). Conclusion: The study was effective to estimate the seroprevalence of infection by the virus and its findings will enable further analyses of the health conditions of the population related to social isolation and the risk of infection with SARS-CoV-2.
Model Specification Searches in Structural Equation Modeling with R

This article introduces and demonstrates the application of an R statistical programming environment code for conducting structural equation modeling (SEM) specification searches. The implementation and flexibility of the provided code is demonstrated using the Tabu search procedure, although the underlying code can also be directly modified to implement other search procedures like Ant Colony Optimization, Genetic Algorithms, Ruin-and-Recreate, or Simulated Annealing. The application is illustrated using data with a known common factor structure. The results demonstrate the capabilities of the program for conducting specification searches in SEM. The programming codes are provided as open-source R functions.
Spatial aspects of evacuation: a closer look at user interaction during route choice

ABSTRACT Emergencies such as evacuation from buildings are becoming the subject of research for both psychology and spatial sciences. This paper reports on one aspect of a larger project that dealt with the study of the influence of spatial parameters of buildings on decision-making during evacuation (other research objectives describe Snopková et al., 2023). In this research project, 208 participants received 20 stimuli in the form of an interactive virtual tour in which they could view the intersection (by moving the mouse). Within 8 s, they had to select one corridor that seemed safer to use in case of evacuation. In this paper, we focused on the analysis of the collected interaction data (mouse rotation) and their relationship to the laterality of the participants and the final choice of the evacuation corridor. Statistical analysis using correlation coefficients and the Welch t-test revealed no relationship between the side the participants initially turned and laterality or the final selected corridor. However, participants who chose the right corridor spent significantly more time turned to the right side and vice versa. To sum up, the presented findings support the ongoing research and discussion on human behaviour during the evacuation from a building.
Hydrogeologic Constraints for Drinking Water Security in Southwest Coastal Bangladesh: Implications for Sustainable Development Goal 6.1

Transitioning from the Millennium Development Goals (MDG) to the Sustainable Development Goals (SDG) is a big challenge, particularly for SDG 6.1, as the effective delivery of drinking water services drops due to more stringent indicators, especially for water quality constraints. Salinity in groundwater has received less attention compared to arsenic and E. Coli in the MDG era, while its presence and widespread variability has considerable implications in larger coastal areas for achieving SDG 6.1 targets. This article analyzes drinking water security in southwest coastal Bangladesh, through an in-depth field investigation. It reveals that the exponential growth of groundwater-based technologies, such as tube wells, does not necessarily indicate the actual safe drinking water coverage in coastal areas, due to complex hydrogeology with the high spatial variability of groundwater salinity risks. The spatial variability of hydrogeologic constraints and groundwater salinity risks also reinforces concerns of access, reliability, and affordability with different water supply technologies. National estimates can be misleading as the presence of salinity substantially lowers the effective drinking water coverage. Infrastructural investments for drinking water supply need to consider a sound knowledge of hydrogeologic heterogeneity, and the monitoring of water quality, if the SDG 6.1 targets are to be met.
Carcinogenic and non-carcinogenic risk assessment of consuming metal-laden wild mushrooms in Nigeria: Analyses from field based and systematic review studies

This study investigated the potential health risk associated with the consumption of metal-laden mushrooms in Nigeria. Concentrations of Pb, Cd, Cr, Cu, Ni, Zn and Al in wild mushrooms collected from the Nigerian environment were measured using atomic absorption spectrometer. Also, systematic analysis of articles on metal accumulation in mushrooms from Nigeria were obtained from scientific databases. Using hazard model indices, the metal concentration in mushrooms were evaluated for their potential carcinogenic and non-carcinogenic health risk when consumed by adults and children. Zn and Cd, respectively, had the highest and lowest mean concentrations (mg kg-1) in the analysed mushrooms from the field study, while Fe and Co, respectively, had the highest and lowest mean concentrations (mg kg-1) in the systematically reviewed articles. In the field study, the percentage distribution of THQ of the heavy metals greater than 1 was 0% and 42.85% for adults and children respectively. While for the systematic study, 30% and 50% of the heavy metals for adults and children respectively exceeded the limit of 1. The hazard indices obtained from both the systematic and field studies for both age groups were all >1, indicating significant health risk. The findings from both the systematic and field studies revealed that consuming metal-laden mushrooms by adults and children increases the carcinogenic risk to Cd, Cr, and Ni since they exceeded the acceptable limit of 1E-04 stated by USEPA guideline. Based on the findings from the systematic and field studies, it suggests that consuming mushrooms collected from metal polluted substrates increases carcinogenic and non-carcinogenic health risk among Nigerians.
Prospects of additional contribution at optical-NIR band of EBL in the light of VHE spectra

The extragalactic background light (EBL) that spans the ultraviolet-infrared (UV-IR) band originates from direct and dust-reprocessed starlight integrated over the history of the Universe. EBL measurements are very challenging due to foreground emission like the zodiacal light and interplanetary dust emission. Indeed, some optical/NIR (near infrared) direct measurements overpredict EBL models based on galaxy counts. On the other hand, there is some debate on possible additional components of the optical-NIR photon density, e.g. population-III stars, axion-photon decay, direct collapse of black holes, intrahalo light, etc. Owing to the absorption of very high energy (VHE) gamma-rays by interaction with EBL photons, we study the prospects of accommodating an additional population of EBL sources in the optical-NIR band on top of the standard galaxy-count–based component. To this aim we use 105 VHE spectra of 37 blazars with known redshifts, 0.03 < z < 0.94. We correct the observed spectra for absorption by our model EBL. By requiring the intrinsic spectra to be non-concave and with a VHE spectral index >1.5, we estimate, at different wavelengths, upper limits to the additional low-energy photon fields that would contribute to the absorption of gamma-rays. Considering these limits, we suggest that there is room for photons from Pop III stars and axion-like particle annihilation. However, these additional hypothetical photon fields are bound to fall significantly below direct published EBL measurements by several instruments, and therefore, our limits are either in tension or even inconsistent with such measurements.
An improved sheath impedance model for the Van Allen Probes EFW instrument: Effects of the spin axis antenna

A technique to quantitatively determine the sheath impedance of the Van Allen Probes Electric Field and Waves (EFW) instrument is presented. This is achieved, for whistler mode waves, through a comparison between the total electric field wave power spectra calculated from magnetic field observations and cold plasma theory and the total electric field wave power measured by the EFW spherical double probes instrument. In a previous study, a simple density‐dependent sheath impedance model was developed in order to account for the differences between the observed and calculated wave electric field. The current study builds on this previous work by investigating the remaining discrepancies, identifying their cause, and developing an improved sheath impedance correction. Analysis reveals that anomalous gains are caused by the spin axis antennas measuring too much electric field at specific densities and frequencies. This is accounted for in an improved sheath impedance model by introducing a density‐dependent function describing the relative effective length of the probe separation, Leff, in addition to the sheath capacitance and resistance values previously calculated. Leff values vary between between 0.5 and 1.2, with values >1 accounting for the anomalous gains and values <1 accounting for the shorting effect at low densities. Applying this improved sheath impedance model results in a significant increase in the agreement level between observed and calculated electric field power spectra and wave powers over the previous model.
Deep learning for denoising

Compared with traditional seismic noise attenuation algorithms that depend on signal models and their corresponding prior assumptions, removing noise with a deep neural network is trained based on a large training set in which the inputs are the raw data sets and the corresponding outputs are the desired clean data. After the completion of training, the deep-learning (DL) method achieves adaptive denoising with no requirements of (1) accurate modelings of the signal and noise or (2) optimal parameters tuning. We call this intelligent denoising. We have used a convolutional neural network (CNN) as the basic tool for DL. In random and linear noise attenuation, the training set is generated with artificially added noise. In the multiple attenuation step, the training set is generated with the acoustic wave equation. The stochastic gradient descent is used to solve the optimal parameters for the CNN. The runtime of DL on a graphics processing unit for denoising has the same order as the [Formula: see text]-[Formula: see text] deconvolution method. Synthetic and field results indicate the potential applications of DL in automatic attenuation of random noise (with unknown variance), linear noise, and multiples.
THE QUALITY OF LIFE OF PATIENTS WITH FREQUENTLY RECURRING URTICARIA AND THE EFFECT OF DIFFERENT TREATMENT METHODS

the negative effect of the dis - ease on quality of life also considerably reduced. However, at the end of the observation, the severity of urticaria and all domains of the negative impact of the disease on the quality of life remained pronounced in patients of this group. Treatment with omalizumab at a dosage of 150 mg once every 21 days in this patient category can be considered an effective therapy method that eliminates the symptoms of urticaria and significantly improves the quality of life.