Miracle-dz/UniFAR-FTUs huggingface dataset:
Preparation, Characterization and Magneto-Optical Properties of Sm-Doped Y2O3 Polycrystalline Material

In this paper, physicochemical properties of pure Y2O3 and samarium (Sm)-doped Y2O3 transparent ceramics obtained via arc plasma melting are presented. Yttria powder with a selected molar fraction of Sm was first synthesized by a solid-state reaction method. High transparent yttria ceramics were obtained by arc plasma melting from both the pure and Sm oxide-doped powders. The morphological, chemical and physical properties were investigated by X-ray diffraction and scanning electron microscopy. The optical band gap was calculated from the absorption spectra so as to understand the electronic band structure of the studied materials. Samples indicate a series of luminescence bands in the visible region after excitation by laser light in the range from 210 to 250 nm. Magneto-optical measurements were carried out in the 300–800 nm range at room temperature. It can be seen that a maximum Verdet constant ca. 24.81 deg/T cm was observed for 405 nm and this value decreases with increasing wavelength. The potential usefulness of the polycrystalline material dedicated to optics devices is presented.
Salience in beta anomaly

ABSTRACT This article shows that the beta anomaly in the capital asset pricing model arises when investors’ attention is drawn to salient payoffs owing to limited attention. Controlling for the salience effect renders the alphas of beta-sorted portfolios and betting-against-beta insignificant. Empirically, we find that stocks’ market beta is strongly related to salience measure, indicating that salience-demand price pressure falls predominantly on high-beta stocks. Furthermore, the low-beta anomaly occurs mainly during periods when the correlation between stocks’ salience and beta is high, indicating that the disproportionate salience-demand price pressure on high-beta stocks is an important driver of the beta anomaly.
Integral equation method with parametrization of grating profile theory and experiments

Theories and their numerical implementations to rigorously solve Maxwell's equations are fundamental in diffractive optics. Various rigorous methods have been developed in the past which allow the analysis and synthesis of diffraction gratings. The basis of the great majority of rigorous methods is the Fourier series expansion of the permittivity function. Unfortunately the Fourier expansion can easily give poor results for the TM mode. By using an integral method with parametrization of the grating profile this problem can be overcome for surface modulated gratings. The theory and a comparison of theoretical and experimental results are presented.
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior

Hyperspectral image (HSI) denoising is a fundamental task in remote sensing image processing, which is helpful for HSI subsequent applications, such as unmixing and classification. Thanks to the powerful representation ability of untrained deep neural networks (DNNs), deep image prior (DIP)-based methods achieve tremendous successes in image processing (e.g., denoising and inpainting). However, DIP-based methods neglect the tensor low-rank prior of the underlying HSI, which will be beneficial to capture the global structure of the underlying HSI. To address this issue, we propose a novel model for HSI denoising, which can simultaneously take respective advantages of the tensor low-rank prior and the deep spatial–spectral prior. The tensor low-rank prior leads to a better global structure, and the deep spatial–spectral prior is complementary to preserve better local details. On the one hand, we adopt low-rank tensor ring (TR) decomposition to characterize the tensor low-rank prior and capture the global structure of the underlying HSI. On the other hand, we employ untrained DNNs to flexibly represent the deep spatial–spectral prior and capture the local details of the underlying HSI. To solve the proposed model, we develop an efficient alternating minimization algorithm. Experimental results on simulated and real data validate the advantages of the proposed model in HSI denoising. Compared with state-of-the-art HSI denoising methods, the proposed method preserves better local details and the global structure of the underlying HSI.
Reliability and Validity of Computerized Adventitious Respiratory Sounds in People with Bronchiectasis

Background: Computerized adventitious respiratory sounds (ARS), such as crackles and wheezes, have been poorly explored in bronchiectasis, especially their measurement properties. This study aimed to test the reliability and validity of ARS in bronchiectasis. Methods: Respiratory sounds were recorded twice at 4 chest locations on 2 assessment sessions (7 days apart) in people with bronchiectasis and daily sputum expectoration. The total number of crackles, number of wheezes and wheeze occupation rate (%) were the parameters extracted. Results: 28 participants (9 men; 62 ± 12 y) were included. Total number of crackles and wheezes showed moderate within-day (ICC 0.87, 95% CI 0.74–0.94; ICC 0.86, 95% CI 0.71–0.93) and between-day reliability (ICC 0.70, 95% CI 0.43–0.86; ICC 0.78, 95% CI 0.56–0.90) considering all chest locations and both respiratory phases; wheeze occupation rate showed moderate within-day reliability (ICC 0.86, 95% CI 0.71–0.93), but poor between-day reliability (ICC 0.71, 95% CI 0.33–0.87). Bland–Altman plots revealed no systematic bias, but wide limits of agreement, particularly in the between-days analysis. All ARS parameters correlated moderately with the amount of daily sputum expectoration (r > 0.4; p < 0.05). No other significant correlations were observed. Conclusion: ARS presented moderate reliability and were correlated with the daily sputum expectoration in bronchiectasis. The use of sequential measurements may be an option to achieve greater accuracy when ARS are used to monitor or assess the effects of physiotherapy interventions in this population.
Correlation for Heat Transfer in Nucleate Boiling on Horizontal Cylindrical Surface

This experimental investigation deals with nucleate boiling studies on horizontal cylindrical heating elements made out of copper in the medium of Forane around atmospheric conditions. The data could be successfully correlated with the system of criteria employed by the authors in their earlier study of nucleate boiling process on cylindrical heating elements. Inclusion of the data from the present experimental study on Forane and that of other investigators yielded a comprehensive correlation with an average deviation of 20% and standard deviation of 25% over a wide range of system pressures.
Zinc Phthalocyanine Sensing Mechanism Quantification for Potential Application in Chemical Warfare Agent Detectors

Rapid and accurate detection of lethal volatile compounds is an emerging requirement to ensure the security of the current and future society. Since the threats are becoming more complex, the assurance of future sensing devices’ performance can be obtained solely based on a thorough fundamental approach, by utilizing physics and chemistry together. In this work, we have applied thermal desorption spectroscopy (TDS) to study dimethyl methylophosphate (DMMP, sarin analogue) adsorption on zinc phthalocyanine (ZnPc), aiming to achieve the quantification of the sensing mechanism. Furthermore, we utilize a novel approach to TDS that involves quantum chemistry calculations for the determination of desorption activation energies. As a result, we have provided a comprehensive description of DMMP desorption processes from ZnPc, which is the basis for successful future applications of sarin ZnPc-based sensors. Finally, we have verified the sensing capability of the studied material at room temperature using impedance spectroscopy and took the final steps towards demonstrating ZnPc as a promising sarin sensor candidate.
A Comparison of a Spline Estimate to its Equivalent Kernel Estimate

It has been observed that to a smoothing spline operator there corresponds an equivalent kernel operator; these two operators have been compared in a variety of norms [Cox (1984), Silverman (1984)]. In this paper, we refine the existing bounds for the particular case of the spline estimator considered in Rice and Rosenblatt (1983) and its corresponding equivalent kernel estimator. We obtain detailed asymptotic expressions for the bias and covariance functions of the two estimates and provide rates of convergence. Direct comparison then shows that the two estimates are similar. They may differ somewhat in their higher order boundary behavior.
New Chelate Resins Prepared with Direct Red 23 for Cd2+, Ni2+, Cu2+ and Pb2+ Removal

In this paper, two chelate resins prepared by a simple procedure were used for the removal of Cd2+, Ni2+, Cu2+, and Pb2+ (M2+) from aqueous solutions. Amberlite IRA 402 strongly basic anion exchange resin in Cl− form (IRA 402 (Cl−) together with Amberlite XAD7HP acrylic ester co-polymer (XAD7HP) were functionalized with chelating agent Direct red 23 (DR 23). The chelate resins (IRA 402-DR 23 and XAD7HP-DR 23) were obtained in batch mode. The influence of interaction time, pH and the initial concentration of DR 23 solution was investigated using UV-Vis spectrometry. The time necessary to reach equilibrium was 90 min for both resins. A negligible effect of adsorption capacity (Qe) was obtained when the DR 23 solution was adjusted at a pH of 2 and 7.9. The Qe of the XAD7HP resin (27 mg DR 23/g) is greater than for IRA 402 (Cl−) (21 mg DR 23/g). The efficiency of chelating resins was checked via M2+ removal determined by the atomic adsorption spectrometry method (AAS). The M2+ removal by the IRA 402-DR 23 and XAD7HP-DR 23 showed that the latter is more efficient for this propose. As a consequence, for divalent ions, the chelated resins followed the selectivity sequence: Cd2+ > Cu2+ > Ni2+ > Pb2+. Additionally, Cd2+, Cu2+ and Ni2+ removal was fitted very well with the Freundlich model in terms of height correlation coefficient (R2), while Pb2+ was best fitted with Langmuir model for IRA 402-DR 23, the Cu2+ removal is described by the Langmuir model, and Cd2+, Ni2+ and Pb2+ removal was found to be in concordance with the Freundlich model for XAD7HP-DR 23. The M2+ elution from the chelate resins was carried out using 2 M HCl. The greater M2+ recovery from chelating resins mass confirmed their sustainability. The chelate resins used before and after M2+ removal by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) analysis were evaluated.
Tuberculosis in India: Overview, Challenges, and Way Forward in the Post-COVID-19 Era

Tuberculosis (TB) remains one of India’s most pressing and challenging problems. Globally, India remains the highest TB burden country, infecting people of all age groups, mainly affecting the younger population. The bacterium Mycobacterium tuberculosis is highly infectious and spreads through droplet infection. Millions of people die due to TB annually, and India alone accounts for a significant portion of these fatalities. TB is a major barrier to social and economic development, and each day hundreds of workdays are lost because of the illness. TB mortality over the years has reduced, and India currently has revised its mission under the new program, that is, National Tuberculosis Elimination Program (NTEP). The NTEP has a goal to end TB by 2025 under an ambitious “Detect-Treat-Prevent-Build” model. Tackling TB during the COVID-19 pandemic became more challenging, and the global community was compelled to rethink its operation and implementation. The present article recommends the feasibility and scope of telemedicine and the integration of social development approaches in policy planning to ensure social and health equity.
Benzaldehyde‐Promoted (Auto)Photocatalysis under Visible Light: Pitfalls and Opportunities in Photocatalytic H2O2 Production **

Selective photooxidation of aromatic alcohols to corresponding aldehydes is a widely used model reaction for evaluation of performance of heterogeneous photocatalysts. A top example is the photocatalytic production of hydrogen peroxide via reduction of dioxygen with concomitant photooxidation of benzyl alcohol to benzaldehyde. Herein we demonstrate the ability of benzaldehyde to promote the auto‐photocatalytic oxidation of benzyl alcohol and produce large quantities of H2O2 in solvent‐free (no water) or biphasic (with water) systems even under nominally visible (>420 nm cut‐off filter) light irradiation. These results shed critical light on the plethora of research reports on photocatalytic H2O2 production in which benzyl alcohol was employed as electron donor. Since the autocatalytic pathway based on the photocatalytic activity of benzaldehyde formed during photocatalysis under such conditions cannot be neglected, the interpretations of photocatalytic performance are likely contentious and distorted in such reports. The use of benzyl alcohol as a model electron donor in photocatalytic studies should be therefore definitely discouraged. On the other hand, as we found that benzaldehyde‐mediated photocatalysis of H2O2 production proceeds also using alternative electron donors (e. g., ethanol), our results highlight the possible prospects for a more general use of benzaldehyde and other aromatic aldehydes in visible light‐driven photocatalysis.
Effects of Atmospheric Cold Plasma Treatment on the Storage Quality and Chlorophyll Metabolism of Postharvest Tomato

Atmospheric cold plasma (ACP) is a potential green preservation technology, but its preservation mechanism is still unclear, and the effects of different plasma intensities on postharvest tomatoes are little studied. In this study, the effects of different ACP treatments (0 kV, 40 kV, 60 kV, and 80 kV) on the sensory quality, physiological indexes, key enzyme activities, and gene expression related to the chlorophyll metabolism of postharvest tomatoes were investigated during the storage time. The results showed that compared with the control group, the tomatoes in the plasma treatment group had a higher hardness and total soluble solid (TSS) and titratable acid (TA) contents, a lower respiratory intensity and weight loss rate, a higher brightness, and a lower red transformation rate, especially in the 60 kV treatment group. In addition, chlorophyll degradation, carotenoid accumulation, and chlorophyllase and pheophorbide a mono-oxygenase (PAO) enzyme activities in the postharvest tomatoes were inhibited in the 60 kV treatment group, and the expressions of three key genes related to chlorophyll metabolism, chlorophyll (CLH1), pheophytinase (PPH), and red chlorophyll catabolic reductase (RCCR) were down-regulated. The results of the correlation analysis also confirmed that the enzyme activity and gene expression of the chlorophyll metabolism were regulated by the ACP treatment, aiming to maintain the greenness of postharvest tomatoes.
Synthesized and inherited functions - a new computational model for syntax-directed semantics

In this paper we introduce a new formal model for the concept of syntax-directed semantics, called macro attributed tree transducer (for skort: mat tree transducer). This model is based on (noncircular) attributed tree transducers and on macro tree transducers. In the first type of transducer, semantic values are computed by means of meaning names called synthesized attributes, and by means of context names called inherited attributes. Both, synthesized and inherited attributes represent basic semantic values. In the second type of transducer, semantic values are computed by meaning names only which are called states. However, in order to have a means of handling context information, states represent functions over semantic values
The Effects of Correlated Errors on Generalizability and Dependability Coefficients

This study investigated the effects of correlated errors on the person x occasion design in which the confounding effect of equal time intervals results in correlated error terms in the linear model. Two specific error correlation structures were examined: the first-order stationary autoregressive (SARI), and the first-order nonstationary autoregressive (NARI) with increasing variance parameters. The effects of correlated errors on the existing generalizability and dependability coefficients were assessed by simulating data with known variances (six different combinations of person, occasion, and error variances), occasion sizes, person sizes, correlation parameters, and increasing variance parameters. Estimates derived from the simulated data were compared to their true values. The traditional estimates were acceptable when the error terms were not correlated and the error variances were
A Miniaturized and Automated eDNA Sampler: Application to a Marine Environment

Environmental DNA (eDNA) analysis offers a time-and cost-efficient method to perform temporal and spatial observations of aquatic environments, providing a wealth of biodiversity data. Unfortunately, most protocols require manual collection of eDNA samples using highly skilled individuals to capture, filter and store the samples before they can be sent to a lab for analysis. Automated samplers exist to reduce this front-end collection burden, but they tend to be bulky and costly. Here we describe an eDNA sampler designed to be user-friendly and to automate the entire sample collection process. We describe and characterize our eDNA sampler, which offers multi-sample capture, preservation, and self cleaning to reduce cross contamination. DNA sequencing was performed on samples collected using the eDNA sampler as well as a traditional niskin bottle-based protocol at six stations in Bedford Basin, Nova Scotia, Canada. The two approaches showed similar algal and bacterial taxonomic compositions, demonstrating the ability of the eDNA sampler to generate results comparable to those obtained through gold-standard protocols.
Mean spherical model for two-component plasmas

The mean spherical model is solved for two-component plasmas-fully ionised systems of two species of ions in a uniform neutralising background of electrons. The ion-ion potential is the sum of a bare Coulomb part and a hard-core part. The authors obtain the direct correlation functions Cij(r) as polynomials in r and give the general solution (ions with different hard cores) up to a set of algebraic equations in the polynomial coefficients: these equations are then solved explicitly for the case of equal hard cores. For the particular case of a hydrogen-helium mixture the excess energy, the excess energy of mixing and the excess energy in a 'one-fluid model' for the two-component plasma are given for several values of coupling parameter and helium concentration: the comparison with Monte Carlo and hypernetted chain equation results is quite satisfactory in spite of the equal radii approximation. Some structure factors are also plotted for an H+-He2+ mixture.
Observations of OH 4765-MHz maser emission from star-forming regions

We report observations of the 4765-MHz maser transition of OH (2Π1/2, J=1/2, F=10) towards 57 star-forming regions, taken with the 32-m Torun telescope. Nine maser sources were detected, of which two had not been reported previously. The newly discovered sources in W75N and Cep A and four previously known sources were monitored over periods ranging from a few weeks to six months. Significant variations of the maser intensity occurred on time-scales of one week to two months. The relationships between the flux density and the linewidth for the new sources, established during the rise and fall phases of bursts that lasted 6–8 weeks, are consistent with a model of saturated masers.
Metabolomic Analysis Reveals the Effect of Insecticide Chlorpyrifos on Rice Plant Metabolism

Pesticides as important agricultural inputs play a vital role in protecting crop plants from diseases and pests; however, the effect of pesticides on crop plant physiology and metabolism is still undefined. In this study, the effect of insecticide chlorpyrifos at three doses on rice plant physiology and metabolism was investigated. Our results revealed that chlorpyrifos cause oxidative stress in rice plants and even inhibit plant growth and the synthesis of protein and chlorophyll at high doses. The metabolomic results suggested that chlorpyrifos could affect the metabolic profiling of rice tissues and a total of 119 metabolites with significant changes were found, mainly including organic acids, amino acids, lipids, polyphenols, and flavonoids. Compared to the control, the content of glutamate family amino acids were significantly disturbed by chlorpyrifos, where defense-related proline and glutathione were significantly increased; however, glutamic acid, N-acetyl-glutamic acid and N-methyl-glutamic acid were significantly decreased. Many unsaturated fatty acids, such as linolenic acid and linoleic acid, and their derivatives lysophospholipids and phospholipids, were significantly accumulated in chlorpyrifos groups, which could act as osmolality substances to help rice cells relieve chlorpyrifos stress. Three organic acids, aminobenzoic acid, quinic acid, and phosphoenolpyruvic acid, involved in plant defenses, were significantly accumulated with the fold change ranging from 1.32 to 2.19. In addition, chlorpyrifos at middle- and high-doses caused the downregulation of most flavonoids. Our results not only revealed the effect of insecticide chlorpyrifos on rice metabolism, but also demonstrated the value of metabolomics in elucidating the mechanisms of plant responses to stresses.
Investigating the Coefficient of Performance of Hospitals in Meeting the Needs of Nurses

Background: Two of the most important problems of the nursing profession are the job uncertainty experienced by those working in the field and the profession’s status in society. The nurses’ needs have not been adequately addressed by policymakers of the health care system in Iran. Objectives: The present study, conducted in selected hospitals in Iran from March to August, aimed to evaluate the performance of hospitals in meeting the needs of nurses. Methods: The statistical population included 683 nurses from the selected hospitals. Data were collected using a researcher-made questionnaire containing four items with 40 criteria. Results: Hospitals meeting the needs of nurses were classified according to the importance coefficient and in order of importance as follows: job promotion (0.63), spiritual factors (0.62), material factors, (0.57), and job status (0.52). Conclusions: It was recommended that the corrective measures regarding job promotion, spiritual factors, material factors, and job status of the nurses should be designed and implemented by health system policymakers and hospitals’ managers.