Miracle-dz/UniFAR-FTUs huggingface dataset:
Construction and Validation of a Risk Warning Model of Depression in Patients with Pulmonary Nodule

Background. To establish a depression risk warning model for patients with pulmonary nodules and to provide a theoretical basis for medical staff to identify high-risk patients early and quickly and take timely intervention measures. Methods. A total of 535 hospitalized patients with pulmonary nodules were selected, and the relevant data were analyzed by single-factor analysis. Binary logistic regression analysis was used to determine the independent risk factors for depression in patients with pulmonary nodules and to establish a risk warning model. The Hosmer−Lemeshow test and receiver operating characteristic (ROC) curve were used to evaluate the goodness of fit and prediction effect of the model, and the cross-validation method was used to verify the efficacy of the model. Results. The prevalence of depression in patients with pulmonary nodules was 47.29%. Univariate analysis showed that CRP, albumin, creatinine, phosphorus, calcium, triglyceride, cholesterol, low-density lipoprotein, high-density lipoprotein, β2-microglobulin, objective support, social support, and education level were related to depression in patients with pulmonary nodules P < 0.05 . Binary logistic regression analysis showed that serum CRP, calcium, social support, and education level were independent risk factors for depression in patients with pulmonary nodules. The area under the ROC curve/sensitivity/specificity of serum CRP, calcium, social support, and education level was 0.78/86.88%/80.65%, 0.79/84.40%/75.59%, 0.83/89.91%/80.22%, and 0.81/85.96%/79.19%, and the accuracy of cross-checked risk warning model was 84.97%. In the Hosmer−Lemeshow test, P = 0.926, area under the ROC curve was 0.98, sensitivity was 98.17%, and specificity was 93.55%. The accuracy of the cross-checked risk warning model was 84.97%, indicating that the prediction effect of the model was good. Conclusions. Serum CRP, calcium, social support, and education level are the independent risk factors of depression in patients with pulmonary nodules, and the risk warning model based on them has a good early warning effect on depression in patients with pulmonary nodules. The risk warning model established in this study has a good predictive effect on depression in patients with pulmonary nodules.
Study of the Effect of Cutting Frozen Soils on the Supports of Above-Ground Trunk Pipelines

The transportation of oil and gas in Russia’s northern and Arctic regions has seen significant growth in recent years. However, the presence of permafrost in these areas can cause malfunctions in the main pipelines due to soil frost heaving. The operational pipelines also often suffer from various defects in their body and surface. To mitigate these issues, above-ground trunkline supports are utilized to protect the pipelines from cryogenic processes. Nevertheless, these supports are subjected to ground loads caused by cryogenic frost heaving, which poses a threat to the pipeline’s integrity and the environment. In response to these challenges, this study presents a design for pipeline support to maintain the pipeline’s stability in the face of soil displacement caused by unequal frost-heaving forces. A numerical model was created to evaluate the fracture of frozen rock and the resulting stresses in the soil and support structure. The input data for the model includes coefficients that describe the soil’s state during the cryogenic process and the proposed support’s parameters. The experimental results showed the proposed design to be effective in protecting the pipeline from soil frost heaving. The paper also provides the results of numerical and experimental studies on soil fracture stresses depending on the rock type and temperature. This design promises to increase both the safety of above-ground trunk pipelines and their technological efficiency.
Image Edge Detection Using Nonsubsampled Contourlet Transform

An algorithm for image edge detection based on nonsubsampled contourlet transform (NSCT) is proposed. NSCT is multiresolutional, localized, multidirectional and anisotropic，so it can more effectively capture high dimensional singularity. Firstly, the coefficients at different scales and in different directions are obtained by image decomposition using the NSCT, then with these coefficients thresholds are adaptively set and the generalized nonlinear gain function is used to enhance the edge features with low contrast while protecting the strong contrast features from over enhancing in the NSCT domain. The experiment results show that the algorithm achieve a good effect than other algorithms.
Investigation of the effect of spatial dispersion in a metal shell of a non-spherical magnetoplasmonic nanoparticle

Based on the method of discrete sources, the effect of spatial dispersion in the metal shell of a magnetoplasmonic nanoparticle on the absorption of electromagnetic energy is studied. Hybrid particle is composed of a magnetic core Fe3O4 or Fe2O3 and a golden shell. The influence of the elongation of spheroidal particles on the level of energy absorption is considered. It is shown that taking into account the spatial dispersion in the shell leads to a decrease in the absorption cross section to 30% and is accompanied by a shift of the plasmon resonance to the short-wavelength region down to 25 nm. It is found that averaging the absorption cross section over the directions of propagation of external excitation and polarizations entails a threefold decrease in the level of absorbed energy. Keywords: discrete source method, plasmon resonance, spatial dispersion, generalized nonlocal response theory.
Structural Characterization of Hypoxia Inducible Factor α—Prolyl Hydroxylase Domain 2 Interaction through MD Simulations

The Prolyl Hydroxylases (PHDs) are an enzymatic family that regulates cell oxygen-sensing. PHDs hydroxylate hypoxia-inducible transcription factors α (HIFs-α) driving their proteasomal degradation. Hypoxia inhibits PHDs activity, inducing HIFs-α stabilization and cell adaptation to hypoxia. As a hallmark of cancer, hypoxia promotes neo-angiogenesis and cell proliferation. PHD isoforms are thought to have a variable impact on tumor progression. All isoforms hydroxylate HIF-α (HIF-1,2,3α) with different affinities. However, what determines these differences and how they pair with tumor growth is poorly understood. Here, molecular dynamics simulations were used to characterize the PHD2 binding properties in complexes with HIF-1α and HIF-2α. In parallel, conservation analysis and binding free energy calculations were performed to better understand PHD2 substrate affinity. Our data suggest a direct association between the PHD2 C-terminus and HIF-2α that is not observed in the PHD2/HIF-1α complex. Furthermore, our results indicate that phosphorylation of a PHD2 residue, Thr405, causes a variation in binding energy, despite the fact that this PTM has only a limited structural impact on PHD2/HIFs-α complexes. Collectively, our findings suggest that the PHD2 C-terminus may act as a molecular regulator of PHD’s activity.
Spatial Statistical Data Fusion for Remote Sensing Applications

Aerosols are tiny solid or liquid particles suspended in the atmosphere; examples of aerosols include windblown dust, sea salts, volcanic ash, smoke from wildfires, and pollution from factories. The global distribution of aerosols is a topic of great interest in climate studies since aerosols can either cool or warm the atmosphere depending on their location, type, and interaction with clouds. Aerosol concentrations are important input components of global climate models, and it is crucial to accurately estimate aerosol concentrations from remote sensing instruments so as to minimize errors “downstream” in climate models. Currently, space-based observations of aerosols are available from two remote sensing instruments on board NASA's Terra spacecraft: the Multiangle Imaging SpectroRadiometer (MISR), and the MODerate-resolution Imaging Spectrometer (MODIS). These two instruments have complementary coverage, spatial support, and retrieval characteristics, making it advantageous to combine information from both sources to make optimal inferences about global aerosol distributions. In this article, we predict the true aerosol process from two noisy and possibly biased datasets, and we also estimate the uncertainties of these estimates. Our data-fusion methodology scales linearly and bears some resemblance to Fixed Rank Kriging (FRK), a variant of kriging that is designed for spatial interpolation of a single, massive dataset. Our spatial statistical approach does not require assumptions of stationarity or isotropy and, crucially, allows for change of spatial support. We compare our methodology to FRK and Bayesian melding, and we show that ours has superior prediction standard errors compared to FRK and much faster computational speed compared to Bayesian melding.
PC2: A prognostic cloud fraction and condensation scheme. I: Scheme description

A prognostic cloud fraction and prognostic condensate scheme has been developed for the Met Office Unified Model. This is designed to replace the scheme currently used in weather forecast and climate simulations, in which cloud fraction and liquid water content are calculated diagnostically. Such a scheme overprescribes links between cloud fraction, condensate and water vapour contents. By contrast, our new prognostic cloud fraction and prognostic condensate scheme (PC2) calculates increments to prognostic variables of liquid, ice and total cloud fractions, water vapour and liquid condensate as a result of each physical process represented in the model. (Ice condensate is already represented prognostically.) This paper provides a summary of the PC2 scheme, describes how it is implemented, and discusses its relationship with other existing cloud schemes. Key aspects of the PC2 formulation are: the consistent derivation of prognostic terms, the reversible nature of the scheme under idealised forcing scenarios, the well‐behaved performance in the limit of very low and very high cloud fraction, the inclusion of ice microphysical processes, and the improved representation of cloud erosion processes. A companion paper presents the results from the scheme. © Crown Copyright 2008. Reproduced with the permission of Her Majesty's Stationery Office. Published by John Wiley & Sons, Ltd.
THE H-I DISTRIBUTION IN AN EXTREMELY FAINT DWARF IRREGULAR GALAXY M81-DWA

We have used the Westerbork synthesis radio telescope to investigate the distribution of neutral hydrogen in an extremely faint, dwarf, irregular galaxy, M81 dwA, which was discovered by Lo and Sargent in a search for intergalactic H I clouds. M81 dwA has an absolute magnitude M/sub p/ roughly-equal-11.0 and an H I mass of 1.1 +- 0.1 x 10/sup 7/ M/sub sun/. The optical object has size 30'' x 60'', corresponding to 0.5 x 1.0 kpc/sup 2/ at the distance to the M81 group. Its heliocentric radial velocity is v = 113 +- 2 km s/sup -1/, consistent with group membership. M81 dwA lies 29' from Holmberg II; the difference in redshift between the two objects makes it unlikely that M81 dwA is a dynamical satellite of Holmberg II.
Investigating the non-work antecedents of workplace deviance

Abstract Deviance in the workplace, which has a huge destructive and harmful impact on the organization, is of key concern to academicians and practitioners. Existing literature focuses on the work-related antecedents of workplace deviance. However, the non-work-related antecedents have received little attention. Hence, the present research attempts to understand, the non-work antecedents that aggravate deviant behavior among employees at a workplace. The Gioia qualitative research approach was used to understand, examine, analyze, and interpret the views of respondents. A semi-structured interviewing technique was adopted. The respondents were encouraged to share their own experiences, thoughts, and understanding regarding the phenomenon. A sample of 25 experienced respondents from public and private organisations in Pakistan were interviewed. The results indicate that commuting factors (road hindrances, conflict behaviors, traffic discipline, and over-speeding), social factors (family-work conflict, and disturbed social relations), and an individual’s lifestyle (attitude, physical inactivity, and sleep deprivation) are the contributing factors pertaining to the non-work antecedents of workplace deviance. The current study contributes to the literature by focusing on the non-work antecedents of workplace deviance.
On the definition of Burnett transport coefficients of the dense multi-element charged matter

To determine the Burnett transport coefficients of non-ideal multi-element charged matter the representations of conservation equations of matter as generalized Langevin equations are used. Mori's algorithm is revised to derive the equation of motion of a dynamical value operator of a system in the form of the generalized nonlinear Langevin equation. After transformation, using necessary variational derivatives, these equations are compared with the Burnett hydrodynamical conservation equations. In consequence, the response function expressions of transport coefficients corresponding to second-order derivatives of thermal disturbances are found in the long-wavelength and low-frequency limits. To establish a link between the results of the executed investigations and hydrodynamical problems the properties of the high derivative coefficients matrix of the set of conservation equations in the linearized Burnett approximation are discussed.
A marginal structural model for estimation of the effect of HIV positivity awareness on risky sexual behavior

In this paper, a Marginal Structural Model (MSM) with inverse probability of treatment weights was used to estimate the causal effect of HIV positivity awareness on condom use and multiple sexual partners using data from the Malawi Longitudinal Study of Families and Health (MLSFH). Cumulative awareness of HIV positivity was measured as the number of times an individual was aware of their positive HIV status. Awareness of HIV positivity was associated with increased condom use (OR=2.22, 95%: (1.79, 2.75)). Only among women was it associated with multiple sexual partners (OR=1.76, 95%: (1.36, 2.28)). The use of MSM (over standard regression models for repeated measures) should be encouraged as it is more suited for assessing the cumulative treatment effects while controlling for time-varying confounders in longitudinal studies. There is a need to up-scale interventions that promote HIV testing, awareness of HIV status, and prevention of HIV transmission.
Prevalence and Genotype of Trichomonas vaginalis among Men in Xinxiang City, Henan Province, China

Trichomonas vaginalis (T. vaginalis) could cause trichomoniasis through sexual transmission, which was globally distributed. In this study, the prevalence and phylogenetic analyses of T. vaginalis among men in Xinxiang were conducted. From October 2018 to December 2019, a total of 634 male clinical samples were collected, including 254 samples of semen, 43 samples of prostate fluid, and 337 samples of urine. These samples were examined by nested PCR and a total of 32 (5.05%) T. vaginalis-positive samples were detected. Among these samples, the positive rates of T. vaginalis in semen, prostate fluid, and urine were 7.87% (20/254), 4.65% (2/43), and 2.97% (10/337), respectively. Three actin genes were successfully isolated and sequenced from the 32 positive DNA samples, and the analysis of the sequence and phylogenetic tree showed that the three actin gene sequences exhibited 99.7%–100% homology to the published actin gene sequence (EU076580) in NCBI, and the T. vaginalis strains in the three positive samples were identified as genotype E. Our results demonstrate a notable genotype of T. vaginalis in the male population and provide insight into the performance of these genetic markers in the molecular epidemiology of trichomoniasis. However, further studies are needed to research the association between the genotype and the pathogenicity of T. vaginalis.
The Effect of Schleichera oleosa L. on HbA1c Levels in Alloxan-Induced Rats

Diabetes mellitus is a chronic disease that occurs due to the failure of the pancreas to produce sufficient insulin, or the body cannot use the insulin it makes effectively. The HbA1c (glycated hemoglobin) levels show an alteration in blood glucose levels in people with diabetes. As a traditional medicine, the kesambi plant (Schleichera oleosa L.) can improve diabetic people's health due to its secondary compounds, such as alkaloids, flavonoids, tannins, steroids, and phenolic compounds, besides several empirically proven as antiulcer, anticancer, and antimicrobial effects. The study aimed to determine the effect of the ethanol extract of Kesambi leaves on HbA1c levels in alloxan-induced rats. This research used a posttest-only design method, using 18 rats divided into six groups of mice and induced by alloxan 150 mg/kg in intraperitoneal with the division of groups: group I without treatment; group II alloxan + Na CMC; group III alloxan + glibenclamide; groups IV, V, and VI, given alloxan + kesambi leaf extract 200, 400, and 600 mg/kg BW, respectively. All treatments were given orally for 23 days. HbA1c values were measured on day 24 using the Afinion HbA1c. The data obtained were analyzed using the method of comparing the measurement results of each group against the control group. The results showed that the 200, 400, and 600 mg extracts affected HbA1c levels with successive values of 5.47%, 5.37%, and 5.47% compared to the control group, namely 5.10%. This study concluded that giving kesambi leaf ethanol extract can affect HbA1c levels.
FINTECH PAYMENT ADOPTION AMONG MICRO-ENTERPRISES: THE ROLE OF PERCEIVED RISK AND TRUST

The current adoption of fintech payment technology by MSMEs is motivated by the trend of using digital money. This study presents an investigation the factors that influence the intention to use fintech payments (e-money, e-wallet and Electronic Data Capture) in micro-enterprises. Furthermore, this study will explore more specifically the role and perceived trust and risk in fintech payment adoption. This study uses a quantitative method by distributing surveys to 136 Micro, Small and Medium Enterprises using convenience sampling technique. The results indicated that perceived usefulness, risk and trust are the important drivers of the adoption fintech payment among the micro-enterprises. The results of this study reveal interesting findings, risk perception has a significant positive effect on intentions to use fintech payments.
Design and Experimental Investigation of a Gas-to-Gas Counter-Flow Micro Heat Exchanger

In this work, a double-layered microchannel heat exchanger is designed for investigation on gas-to-gas heat transfer. The micro-device contains 133 parallel microchannels machined into a polished polyether ether ketone plate for both the hot side and cold side. The microchannels are 200 μm high, 200 μm wide, and 39.8 mm long. The design of the micro-device allows tests with partition foils in different materials and of flexible thickness. A test rig is developed with the integration of customized pressure and temperature sensors for in situ measurements. Experimental tests on the counter-flow micro heat exchanger have been carried out for five different partition foils and various mass flow rates. The experimental results, in terms of pressure drop, heat transfer coefficients, and heat exchanger effectiveness are discussed and compared with the predictions of the classic theory for conventionally sized heat exchangers.
Physical analysis and modelization of phenomena in electromagnetic levitation in conical inductor

Levitation melting offers many advantages in metallurgy compared with classical techniques ; the main advantages are cleanness and superheating. Today levitation melting is not a widespread technique because of bad understanding of the physical mechanisms involved. The aim of this paper is to analyse the interaction between the equilibrium shape of the melt and the magnetic field distribution. The configuration is supposed to be axisymmetric and the frequency to be high enough to ensure an electromagnetic skin depth smaller than the size of the levitated sample. In this case the problem to be solved is only concerned with magnetostatics: internal fluid motion does not influence the free surface shape and can be ignored.
The χ‐consensus problem of high‐order multi‐agent systems with fixed and switching topologies

In this paper, the χ‐consensus problems for multiple high‐order dynamical agents within fixed and switching topologies are investigated. A linear protocol is established to globally asymptotically solve χ‐consensus problem for such systems. Moreover, the decision value may be determined by the feedback gains and the initial states of agents. Based on spectral analysis of system's coefficient matrix some conditions are presented for solving the consensus problem with fixed topologies. In the switching topologies case solving the consensus problem is proved by the asymptotical stability analysis regarding to the origin of its disagreement dynamics through Lyapunov approach. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
3GPP-Compatible Channel Generation Framework for FR2-2 Indoor Short-Range Communication

This study proposes a 3GPP-compatible channel generation framework for ultra-wideband and indoor short-range communication realized by the fifth-generation (5G) new radio operating in the frequency range (FR) of 52.6–71.0 GHz. The addition of this band, coined “FR2–2,” to the 5G specification allows foreseeing the use cases of shorter-range communications with ultra-wide bandwidth. However, the current focus of the 3GPP channel model on longer-range communication hinders link-level simulations of this use case. To fill this void, we develop a channel generation framework compatible with the 3GPP channel model and applicable to the FR2-2 indoor short-range use case based on real channel measurements. We highlight that even with appropriate parameters for this use case, the 3GPP channel model does not necessarily reproduce similar characteristics of the measured channel impulse response (CIR) owing to the lack of uniformity of cluster angle of arrival (AoA) and power dispersion in intra-cluster subpaths. Based on this finding, an amendment is proposed, where cluster AoA is uniformly distributed, and the intra-cluster power dispersion term is introduced. We demonstrate the feasibility of the proposed framework for reproducing the real CIR characteristic by showcasing an agreement of root-mean-square delay and angular spreads with the measured CIR.
Epitaxial Growth of GaN on (1 0 0) β-Ga2O3 Substrates by Metalorganic Vapor Phase Epitaxy

Epitaxial growth of nitride compounds by the metalorganic vapor phase epitaxy (MOVPE) technique is demonstrated for the first time on β-Ga2O3 single crystal substrates, which are near-UV transparent and n-type conductive. High-quality (0 0 0 1) GaN epi-layer with a narrow bandedge luminescence was obtained using a low temperature conductive buffer layer. InGaN multi-quantum well (MQW) structure was also successfully grown. The first blue light-emitting diode (LED) on β-Ga2O3 with vertical current injection is demonstrated.