Miracle-dz/UniFAR-FTUs huggingface dataset:
COVID-19 pandemic stress and resilience in female college students: a multigroup comparative study of in-person versus online enrolments

ABSTRACT Objective College students, especially females, reported worsened mental health during the COVID-19 pandemic. This multigroup comparative study aimed to explore stress and resilience of female college students between in-person and online enrolments, as well as with and without mental health diagnoses, at early and later stages of the pandemic. Method Participants were 32 female undergraduate students (Mage = 23.75, SD = 6.13) from three classes – Spring 2020 in-person, Spring 2020 exclusively online, and Spring 2021 exclusively online enrolments – in a midwestern regional university in the U.S. They completed two surveys, four weeks apart between Times 1 and 2, quantitatively and qualitatively assessing perceived stressors, stress levels, and resilience. Frequency analyses, Wilcoxon signed-rank tests, and Mann-Whitney U tests were conducted by class. Results Overall, the most reported stressors in Time 1/Time2 were school (25.83%/26.36%), family (16.67%/18.33%), and lifestyle (16.67%/15.00%). On average, students with mental health diagnoses perceived more stressors, especially at the onset of the pandemic, than those without. Findings were presented and interpreted using cross-case analysis, suggesting that the pandemic stress and resilience depended upon students’ enrolment format and associated stressors. Conclusions This study offered practical implications for addressing student stressors during a crisis, across in-person and online enrolments, through targeted interventions. Key Points What is already known about this topic: College students increasingly reported elevated stress and mental health issues during the pandemic, negatively impacting females more than males. The transition from in-person to online education at the onset of the pandemic added stress to students’ lives. People with mental health diagnoses tend to have negative appraisals and lower levels of resilience to regulate stress than those without diagnoses. What this paper adds: This study implemented a case study approach to take a deeper look at female college students’ pandemic stressors and resilience to inform personalized interventions. Female students who enrolled exclusively online before the pandemic reported fewer school stressors but more family stressors during the pandemic than those who enrolled in person. Findings across all three classes suggest that the female students with mental health diagnoses perceived more stressors and higher stress levels than those without diagnoses across pandemic stages.
An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia

Current technological advances are paving the way for technologies based on deep learning to be utilized in the majority of life fields. The effectiveness of these technologies has led them to be utilized in the medical field to classify and detect different diseases. Recently, the pandemic of coronavirus disease (COVID-19) has imposed considerable press on the health infrastructures all over the world. The reliable and early diagnosis of COVID-19-infected patients is crucial to limit and prevent its outbreak. COVID-19 diagnosis is feasible by utilizing reverse transcript-polymerase chain reaction testing; however, diagnosis utilizing chest x-ray radiography is deemed safe, reliable, and precise in various cases.
A Services Classification Method Based on Heterogeneous Information Networks and Generative Adversarial Networks

With the rapid development of service computing and software technologies, it is necessary to correctly and efficiently classify web services to promote their discovery and application. The existing service classification methods based on heterogeneous information networks (HIN) achieve better classification performance. However, such methods use negative sampling to randomly select nodes and do not learn the underlying distribution to obtain a robust representation of the nodes. This paper proposes a web services classification method based on HIN and generative adversarial networks (GAN) named SC-GAN. The authors first construct a HIN using the structural relationships between web services and their attribute information. After obtaining the feature embedding of the services based on meta-path random walks, a relationship-aware GAN model is input for adversarial training to obtain high-quality negative samples for optimizing the embedding. Experimental results on real datasets show that SC-GAN improves classification accuracy significantly over state-of-the-art methods.
Study of the Subpixel Interpolation of Image Spots with Matrix Detectors

The position of spot object image may be determined by matrix detectors directly. However, the accuracy is restricted by the detector resolution. Using interpolation technique it is possible to determine the image spots position with subpixel accuracy. Several interpolation algorithms are introduced in the paper. Their performance is investigated. Above analyses are well verified by the experiments.
Two-Subpopulation Particle Swarm Optimization Based on Pheromone Diffusion

The particle swarm optimization (PSO) algorithm is a new population based search strat-egy, which has exhibited good performance on well-known numerical test problems. However, conventional algorithm of particle swarm optimization (PSO) is often trapped in local optima in global optimization of multimodal high-dimensional function. Analysis of the main causes of the premature convergence, proposes an improved two-subpopulation PSO algorithm, based on the mechanism of pheromone diffusion and diversity feedback. The population is divided into main subpopulation particle swarm and assistant subpopulation particle swarm, whose search direction is inversed completely. A pheromone diffusion function, which can control the degree of convergence of particles move to the best position, is designed by both taking into account these particles distribution and their fitness value. Adjusting inertial weight and numbers of sub-populations adaptively with diversity feedback greatly contribute to breaking away from local optima. Experiments on optimization of high-dimension benchmark functions show that, comparing with some other PSO variants, the improved algorithm can find better optima with converges faster, and prevent more effectively the premature convergence.
Structure and Spesific Absorption Rate Identification of Mn0.25Fe2.75O4/NiCo2O4 Magnetic Nanocomposites

Magnetic nanoparticles are a potential material that can be used in a few fields of nanotechnology such as absorbent, catalyst, energy, storage, biomedical, and cancer treatment. Every nanoparticle has different properties, so they will appear unique when two magnetic materials were composited into one unit. Mn0.25Fe2. 75O4/NiCo2O4 nanocomposites were successfully synthesized by using simple coprecipitation and sonication methods. To determine the nanostructure and Specificesific Absorption Rate (SAR) value of sample, Mn0.25Fe2. 75O4/NiCo2O4 nanocomposites were successfully characterized by using XRD, SEM, and Magneto-thermal instrument, respectively. Based on the data analysis, the XRD profile of Mn0.25Fe2. 75O4/NiCo2O4 combining from two phase of Mn0.25Fe2. 75O4 and NiCo2O4. By using the Debye Scherer equation, the particle size of Mn0.25Fe2. 75O4/NiCo2O4 nanocomposites is about 10.64 nm and presentage of crystallinity is 67.66%. SEM characterization shows that there is agglomeration in the nanocomposites due to the large surface energy between the particles. Properties of superparamagnetic was observed by using VSM, saturation magnetization 17.79 emu/gr and coercivity about 0,15 T. Furthermore, SAR value of Mn0.25Fe2. 75O4/NiCo2O4 nanocomposite revealed the optimum value with 0.343 Watt every gram.
THREE-DIMENSIONAL MOTION OF DWARF STARS AND RR LYRAE VARIABLES.

A collection of 220 high-velocity dwarfs, 532 low-velocity dwarfs, and 114 RR Lyrae variables is given in tables with calculations of kinematical quantities in a three-dimensional model of galactic space. A metal indicator, Delta-S, for RR Lyrae variables is transformed into the ultraviolet excess, delta (0.6), which is utilized for a statistical study of kinematics under the same metallicity classification. It is found that the primordial Galaxy contracted by a factor of at least 20 in the radial direction as compared to at least 50 in the Z direction.
Cultivation, nutritional value, bioactive compounds of morels, and their health benefits: A systematic review

Morels are valuable mushrooms being used as foods and medical substances for a long history. The commonly cultivated morel species include M. eximia, M. importuna, and M. sextelata in China, M. conica and M. esculenta in the US. Morels' nutritional profile mainly consists of carbohydrates, proteins, fatty acids, vitamins, minerals, and organic acids, which are also responsible for its complex sensory attributes and health benefits. The bioactive compounds in morels including polysaccharides, phenolics, tocopherols, and ergosterols contribute to the anti-oxidative abilities, anti-inflammation, immunoprotection, gut health preservation, and anti-cancer abilities. This review depicted on the cultivation of morels, major bioactive compounds of different morel species both from fruit bodies and mycelia, and their health benefits to provide a comprehensive understanding of morels and support the future research and applications of morels as high-value functional food sources.
Satisfaction with Work–Life Balance during the COVID-19 Pandemic for Full-Time Workers Forced to Work from Home

The global pandemic caused by Coronavirus disease of 2019 (COVID-19) severely disrupted people’s professional and personal lives making many employees required to work from home. Our study examines family-supportive supervisory behaviors (FSSB) impact on in-role behaviors through satisfaction with work–life balance and psychological availability at work to gain insight into the effects of the pandemic on work and home domains. Based on three waves of data and a sample of 179 full-time employees (32+ hours per week) forced to work 100% at home because of the pandemic, the findings suggest satisfaction with work–life balance and psychological availability at work serially mediated the relationship between FSSBs and in-role behaviors. Also, satisfaction with work–life balance mediated the relationship between FSSB and psychological availability at work, and psychological availability at work mediated the relationship between satisfaction with work–life balance and in-role behaviors. Practical and theoretical implications, along with future research, are discussed.
Intra-Organizational Communication in Public Agencies: The Effects of Contracting Out Core Services

This article develops and tests a set of hypotheses examining how contracting out of public services affects intra-organizational communication in public agencies (i.e., the principal organization). We draw from two competing perspectives: contracting scholarship argues that outsourcing reduces an organization's structural complexity and enhances intra-organizational communication, while organizational communication studies suggest that outsourcing might lead to fragmented communication pathways and a loss of information. In order to reconcile these perspectives, we examine how different characteristics of an organization's contracting network affect both the internal gathering and dissemination of information. Using survey and contractual relationship data from approximately 200 US transit agencies, we find that contracting out a large portion of services improves intra-organizational communication but this positive effect decreases as the number of contractors grows. Long and stable relationships with contractors negatively affect intra-organizational communication, especially when occurring with private—as compared to public—contractors. Our results suggest the need to further investigate intra-organizational communication in contracting networks and better understand how it may affect organizational performance and contract management.
A Combination of Platelet-Rich Fibrin and Collagen Membranes for Sinus Membrane Repair: A Case Report (Repair of Sinus Membrane Perforation)

Maxillary sinus lift surgery is applied to compensate for the reduced vertical height in the posterior maxilla to facilitate placing a dental implant of a suitable length. Pathological conditions may be accidentally discovered, which necessitate careful assessment and management to prevent the infection of the maxillofacial complex and eventually bone grafting and dental implant failure. This case report describes an approach for the management of Schneiderian membrane perforation associated with the removal of an antral pseudocyst for successful dental implant therapy. A 70-year-old healthy Caucasian male presented for implant therapy to replace a non-restorable maxillary molar. Initial examination revealed the need for a sinus lift procedure to prepare the site for implant placement. A 3D CBCT evaluation before surgery revealed an incidental finding of a pathological lesion at the surgical site. The histological analysis of a biopsy specimen retrieved during implant site preparation showed findings consistent with antral pseudocyst. The resulting perforation of the sinus membrane was treated, and an adequate period of healing was given. A thickened sinus membrane was detected upon surgical exposure for implant placement. The novel technique illustrated could result in a fibrotic repaired sinus membrane and help shorten the time required for dental implant treatment.
Constant hydraulic supply and ABA dynamics facilitate the trade-offs in water and carbon

Carbon-water trade-offs in plants are adjusted through stomatal regulation. Stomatal opening enables carbon uptake and plant growth, whereas plants circumvent drought by closing stomata. The specific effects of leaf position and age on stomatal behavior remain largely unknown, especially under edaphic and atmospheric drought. Here, we compared stomatal conductance (gs ) across the canopy of tomato during soil drying. We measured gas exchange, foliage ABA level and soil-plant hydraulics under increasing vapor pressure deficit (VPD). Our results indicate a strong effect of canopy position on stomatal behavior, especially under hydrated soil conditions and relatively low VPD. In wet soil (soil water potential > -50 kPa), upper canopy leaves had the highest gs (0.727 ± 0.154 mol m-2 s-1) and assimilation rate (A; 23.4 ± 3.9 µmol m-2 s-1) compared to the leaves at a medium height of the canopy (gs : 0.159 ± 0.060 mol m2 s-1; A: 15.9 ± 3.8 µmol m-2 s-1). Under increasing VPD (from 1.8 to 2.6 kPa), gs , A and transpiration were initially impacted by leaf position rather than leaf age. However, under high VPD (2.6 kPa), age effect outweighed position effect. The soil-leaf hydraulic conductance was similar in all leaves. Foliage ABA levels increased with rising VPD in mature leaves at medium height (217.56 ± 85 ng g-1 FW) compared to upper canopy leaves (85.36 ± 34 ng g-1 FW). Under soil drought (< -50 kPa), stomata closed in all leaves resulting in no differences in gs across the canopy. We conclude that constant hydraulic supply and ABA dynamics facilitate preferential stomatal behavior and carbon-water trade-offs across the canopy. These findings are fundamental in understanding variations within the canopy, which helps in engineering future crops, especially in the face of climate change.
EQUIVALENT VISCOUS DAMPING EQUATIONS FOR DIRECT DISPLACEMENT BASED DESIGN

Estimation of equivalent viscous damping is an important step in the methodology of the direct displacement based design. Errors in the estimation of this parameter may lead to consequent errors in the ductility demand of the designed elements. Equivalent viscous damping estimated by Jacobsen's approach for steady-state harmonic response are compared with effective damping factors obtained from an iterative procedure using time — history analyses of single-degree-of-freedom systems. In order to separate the effects of elastic-viscous and hysteretic damping the designs and analyses were carried without elastic viscous damping. Six hysteretic models representing a wide range of hysteretic energy absorption characteristics and six artificial records were used in the analysis. It is found that in general Jacobsen's approach overestimates the values for equivalent viscous damping. Based on the analytical results, modified design equations for equivalent viscous damping are proposed.
Model-based multiresolution motion estimation in noisy images

Abstract It is argued that accurate optical flow can only be determined if problems such as local motion ambiguity, motion segmentation, and occlusion detection are simultaneously addressed. To meet this requirement, a new multiresolution region-growing algorithm is proposed. This algorithm consists of a region-growing process which is able to segment the flow field in an image into homogeneous regions which are consistent with a linear affine flow model. To ensure stability and robustness in the presence of noise, this region-growing process is implemented within the hierarchical framework of a spatial lowpass pyramid. The results of applying this algorithm to both natural and synthetic image sequences are presented.
Deprivation analysis based on Bayesian latent class models

This article seeks to measure deprivation among Portuguese households, taking into account four well-being dimensions – housing, durable goods, economic strain and social relationships – with survey data from the European Community Household Panel. We propose a multi-stage approach to a cross-sectional analysis, side-stepping the sparse nature of the contingency tables caused by the large number of variables considered and bringing together partial and overall analyses of deprivation that are based on Bayesian latent class models via Markov Chain Monte Carlo methods. The outcomes demonstrate that there was a substantial improvement on household overall well-being between 1995 and 2001. The dimensions that most contributed to the risk of household deprivation were found to be economic strain and social relationships.
Physical property response of peri-well sediments during cementing of gas hydrate-bearing sediments in conventional oil-gas wells in the South China Sea

In order to investigate the effect of cement slurry penetration during cementing in gas hydrate-bearing sediments. In this study, gas hydrate bearing sediments in Shenhu Area of the South China Sea is taken as the research object, numerical simulation software TOUGH+HYDRATE is used to realistically reproduce the process of cement slurry exothermic and penetration by “continuous segmental simulation. ” The physical properties response of sediments near the well wall during cementing under different cementing process parameters and sediment geological parameters are well studied. Results show that the hydration exothermic rate of cement slurry has significant influence on the decomposition degree of hydrate in the penetration area, when it is higher than 0.21 J·(g·s)−1, the hydrate in the penetration range is completely decomposed. The cementing pressure difference affects the cement slurry penetration depth, the extent of sediment pressurization and heat-up, which in turn affects the range of the decomposition zones. In addition, it is helpful to increase pore pressure and hydrate phase equilibrium, but it should be strictly controlled within the window of sediment fracture pressure. Extending the holding time of cementing pressure difference expands the heat-up and decomposition zones, but also delays the onset of hydrate decomposition. Higher saturation prevents the penetration of cement slurry and weakens the diffusion of pore pressure, which causes the shrinkage of the heat-up and decomposition zones, and makes higher pressure in the decomposition zone. The hydrate phase equilibrium environment directly determines the resistance of hydrate sediments to perturbation, with insignificant changes in physical properties in stable sediments. The permeability affects the transport efficiency of pore fluid and expands the heat-up zone and decomposition zone, but also weakens the pore pressure peak of sediment, the increase of permeability from 1 to 100 mD expands the decomposition zone from 1 to 10 cm. The porosity has a less significant effects on the extent of sediment physical properties. This study is a valuable guide and reference for hydrate sediment cementing operations.
A Basis for Multidimensional Item Response Theory

Independent clusters, as treated in classical linear factor analysis, provide a desirable basis for multidimensional item response models, yielding interpretable and useful results. The independentclusters basis serves to determine dimensionality, while establishing a pattern for the item parameter matrix that provides identifiability conditions and facilitates interpretation of the traits. It also provides a natural extension of known results on convergent/discriminant “construct” validity to binary items, allowing the quantification of the validity of test and subtest scores. The independent-clusters basis simplifies item/test response and information hypersurfaces, which cannot otherwise be easily studied except in the trivial case of two dimensions, and provides estimates of latent traits with uncorrelated measurement errors. In addition, the affine transformation needed for the informative analysis of the causes of differential item functioning is simplified using the independent-clusters basis. These classically based procedures are already well-established in the context of the linear commonfactor model and, accordingly, they set a standard against which more recently developed procedures for the same purposes need to be judged.
Spectrum Efficient Resource Allocation of NOMA Downlink System With MMSE Receiver

Non-orthogonal multiple access (NOMA) with the effective successive interference cancellation (SIC) is proved as a promising solution to improve the spectrum efficiency (SE). However, since the effective SIC usually requires complex algorithm and leads to higher processing delay, it may not be accepted by the B5G wireless communication due to the limited hardware resource of the mobile terminal and strict real-time request of service. Therefore, whether the NOMA with simple receiver could keep performance advantage directly relate to the promotion and application of NOMA in future. In this paper, we mainly investigate the SE performance of the NOMA downlink system with Minimum Mean Squared Error (MMSE) receiver (MMSE-NOMA) under the imperfect SIC (ipSIC) and CSI (ipCSI) assumption. Based on the analysis of residual interference caused by the ipSIC and ipCSI, the alterative first-order approximation iteration (A-FOAI) algorithm is proposed to optimal the SE performance of MMSE-NOMA. To make the research more objective and comprehensive, we evaluate the SE performance of NOMA with perfect SIC (pSIC) and CSI (pCSI) by adopting the first-order approximation iteration (FOAI) algorithm firstly. Numerical results show that the performance advantage of NOMA heavily depends on the differential degree among various channel gains. Especially, under the ipSIC and ipCSI conditions, the SE of MMSE-NOMA may even be lower than that of the traditional orthogonal multiple access (OMA) system with MMSE receiver when the differential degree among various channel gains is relatively insignificant. This conclusion can help us correctly adopt MMSE receiver to avoid high hardware resource consumption and processing delay in the future NOMA system.