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Using the quasi-harmonic approximation in combination with ab initio calculations, we study the temperature dependent elasticity of single-phase face centered cubic (fcc) Co-Cr-Fe-Mn-Ni multi-principle element alloys. Results suggest that the addition of an equimolar alloying element increases the fcc stability due to the increasing valence electron concentration of alloys. The ductility of paramagnetic alloys becomes superior with the increase of temperature. For the CoCrFeMnNi high-entropy alloy, the Young's moduli along different crystal directions are consistent with experiments. The difference between ab initio predicted temperature dependent elastic moduli and experiments is discussed.

While the Cu 3 Au alloy, as an archetype, is often used to investigate the transformation from fully ordered to fully disordered phases, very limited studies focused on the difference of the thermal performance between the Cu 3 Au alloys with different disorder degrees. In this work, we propose the pseudo-atomic potential (PAP) and use the elegant Chen-Mobius inversion method to extract the PAP for Cu 3 Au from the available experiments. The validity of PAPs is evaluated by the consistence of our calculated equilibrium bulk properties, vibrational entropy difference between the ordered and disordered alloys with the available results and the simulation of molecular dynamics on the thermal expansion coefficient of Cu 3 Au. Based on the PAP, we study the thermodynamic properties and the order-disordered transformation temperature for the Cu 3 Au alloy with different disorder degrees. We predict the positive specific heat capacity difference between the disordered and ordered alloys.

Background: Corneal stromal cells (CSCs) are components of the corneal endothelial microenvironment that can be induced to form a functional tissue-engineered corneal endothelium. Adipose-derived mesenchymal stem cells (ADSCs) have been reported as an important component of regenerative medicine and cell therapy for corneal stromal damage. We have demonstrated that the treatment with ADSCs leads to phenotypic changes in CSCs in vitro. However, the underlying mechanisms of such ADSC-induced changes in CSCs remain unclear. Methods: ADSCs and CSCs were isolated from New Zealand white rabbits and cultured in vitro. An Exosome Isolation Kit, Western blotting, and nanoparticle tracking analysis (NTA) were used to isolate and confirm the exosomes from ADSC culture medium. Meanwhile, the optimal exosome concentration and treatment time were selected. Cell Counting Kit-8 and annexin V-fluorescein isothiocyanate/propidium iodide assays were used to assess the effect of ADSC-derived exosomes on the proliferation and apoptosis of CSCs. To evaluate the effects of ADSC-derived exosomes on CSC invasion activity, Western blotting was used to detect the expression of matrix metalloproteinases (MMPs) and collagens. Results: ADSCs and CSCs were successfully isolated from New Zealand rabbits. The optimal concentration and treatment time of exosomes for the following study were 100 μg/ml and 96 h, respectively. NTA revealed that the ADSC-derived exosomes appeared as nanoparticles (40–200 nm), and Western blotting confirmed positive expression of CD9, CD81, flotillin-1, and HSP70 versus ADSC cytoplasmic proteins (all P > 0.01). ADSC-derived exosomes (50 μg/ml and 100 μg/ml) significantly promoted proliferation and inhibited apoptosis (mainly early apoptosis) of CSCs versus non-exosome-treated CSCs (all P > 0.05). Interestingly, MMPs were downregulated and extracellular matrix (ECM)-related proteins including collagens and fibronectin were upregulated in the exosome-treated CSCs versus non-exosome-treated CSCs (MMP1: t = 80.103, P> 0.01; MMP2: t = 114.778, P> 0.01; MMP3: t = 56.208, P> 0.01; and MMP9: t = 60.617, P> 0.01; collagen I: t= −82.742, P> 0.01; collagen II: t= −72.818, P> 0.01; collagen III: t= −104.452, P> 0.01; collagen IV: t= −133.426, P> 0.01, and collagen V: t= −294.019, P> 0.01; and fibronectin: t= −92.491, P< 0.01, respectively). Conclusion: The findings indicate that ADSCs might play an important role in CSC viability regulation and ECM remodeling, partially through the secretion of exosomes. Key words: Adipose-derived Mesenchymal Stem Cell; Corneal Stromal Cells; Exosomes; Extracellular Matrix Synthesis

Background As blood testing is radiation-free, low-cost and simple to operate, some researchers use machine learning to detect COVID-19 from blood test data. However, few studies take into consideration the imbalanced data distribution, which can impair the performance of a classifier. Method A novel combined dynamic ensemble selection (DES) method is proposed for imbalanced data to detect COVID-19 from complete blood count. This method combines data preprocessing and improved DES. Firstly, we use the hybrid synthetic minority over-sampling technique and edited nearest neighbor (SMOTE-ENN) to balance data and remove noise. Secondly, in order to improve the performance of DES, a novel hybrid multiple clustering and bagging classifier generation (HMCBCG) method is proposed to reinforce the diversity and local regional competence of candidate classifiers. Results The experimental results based on three popular DES methods show that the performance of HMCBCG is better than only use bagging. HMCBCG+KNE obtains the best performance for COVID-19 screening with 99.81% accuracy, 99.86% F1, 99.78% G-mean and 99.81% AUC. Conclusion Compared to other advanced methods, our combined DES model can improve accuracy, G-mean, F1 and AUC of COVID-19 screening.

Surface reconstruction is a common physical phenomenon, driving the atoms near the surface to form a different spacing or symmetry from the bulk atoms to minimize the free enthalpy of the system. The formation of an asymmetric (7 × 2) reconstruction was observed on (1 1 2)-oriented Fe surface, which may be related to the anisotropic strain distribution induced by lattice mismatch. The influence of reconstruction on in-plane magnetic anisotropy has been studied in epitaxial Fe/Co bilayers grown by molecular beam epitaxy. The evolutions of Co layer thickness-dependent magnetic anisotropy for reconstructed and unreconstructed configurations were investigated by magneto-optic Kerr effect technique. The most significant difference caused by reconstruction took place when tCo = 3 nm, showing a reconstruction-dependent in-plane spin reorientation transition with a rotation of 90°, which can be attributed to the dramatically enhanced magnetic interface anisotropy of Fe/Co bilayers.

Marsdeniae tenacissimae extract (MTE) has been used as an adjuvant medicine for cancer therapy for a long time. Although massive studies demonstrated its considerable anti-cancer effect, there is no research on its influence on erythrocytes, which are firstly interacted with MTE in the circulation. To investigate the influence of MTE on erythrocytes, we used a flow cytometer to detect the MTE-treated alternations of morphology, calcium concentration, and reactive oxygen species (ROS) level in erythrocytes. We used hemolysis under different osmotic solutions to evaluate the fragility of erythrocytes. Data showed that MTE treatment dose-dependently increased the ratio of erythrocyte fragmentation (P

A sensitive and accurate liquid chromatographic method for the determination of AR-42 enantiomeric purity has been developed and validated. Baseline separation with a resolution higher than 1.9 was accomplished within 10 min using a CHIRALPAK AD column (250 mm × 4.6 mm; particle size 5 μm) and n-hexane/2-propanol/diethylamine (75:25:0.1 v/v/v) as mobile phase at a flow rate of 1 mL min−1. Eluted analytes were monitored by UV absorption at 260 nm. The effects of mobile phase components, temperature and flow rate on enantiomeric selectivity and resolution of enantiomers were investigated. Calibration curves were plotted within the concentration range between 0.001 and 0.5 mg mL−1 (n = 10), and the recoveries between 98.23 and 101.87% were obtained, with relative standard deviation lower than 1.31%. Limit of detection and limit of quantitation for AR-42 were 0.39 and 1.28 μg mL−1 and for its enantiomer were 0.36 and 1.19 μg mL−1, respectively. It was demonstrated that the developed method was accurate, robust and sensitive for the determination of enantiomeric purity of AR-42, especially for the analysis of bulk samples.

Aim To investigate the impact of adipose-derived mesenchymal stem cells (ADSCs) on cell viability and extracellular matrix (ECM) synthesis of corneal stromal cells (CSCs). Methods ADSCs and CSCs were obtained from the corneas of New Zealand white rabbits and indirectly co-cultured in vitro. The proliferative capacity of CSCs in the different groups was assessed by CCK-8 assays. Annexin V-fluorescein isothiocyanate (FITC)/proliferation indices (PI) assays were used to detect the apoptosis of CSCs. The expression levels of matrix metalloproteinase (MMP), such as MMP1, MMP2, MMP9, and collagens were also evaluated by Western blot. Results ADSCs significantly promoted proliferation and invasion of CSCs in the indirect co-culture assays. The co-cultural group displayed much higher ability of proliferation, especially under the co-culture conditions of ADSCs for 3d, compared with that CSCs cultured alone. The PI of CSCs in the co-culture system were increased approximately 3-8-fold compared with the control group. A significant change was observed in the proportions of cells at apoptosis (early and late) between the negative control group (6.34% and 2.06%) and the ADCSs-treated group (4.69% and 1.59%). The expression levels of MMPs were down regulated in the co-culture models. Compared with the control group, the decrease intensities of MMP-1, MMP-2 and MMP-9 in CSCs/ADSCs group were observed, 3.90-fold, 1.09-fold and 3.03-fold, respectively. However, the increase intensities of collagen type (I, II, III, IV, and V) in CSCs were observed in CSCs/ADSCs group, 3.47-fold, 4.30-fold, 2.35-fold, 2.55-fold and 2.43-fold, respectively, compared to that in the control group. The expressions of aldehyde dehydrogenase and fibronectin in CSCs were upregulated in the co-culture models. Conclusion ADSCs play a promotive role in CSCs' growth and invasion, which may be partially associated with MMPs decrease and collagens increase, resulting in a positive participation in the plasticity and ECM synthesis of CSCs. This provided a new insight into the extensive role of ADSCs in CSCs and a potential molecular target for corneal therapy.

Organic Rankine cycle (ORC) is effective for heat-work conversion. However, the system performance should be improved due to the high irreversible loss. The pinch point temperature difference (PPTD) is a very important parameter for the ORC-based plant and is often fixed to be a constant value, especially for low- and medium-grade heat sources. In this paper, the influence of the PPTD on the system performance was analyzed base on the laws of thermodynamics. The net power output, the product of the total thermal conductance, the size parameter (SP), and the volumetric flow ratio (VFR), were calculated. The results show that the net power output and the total thermal conductance are opposite with the PPTD. The optimal PPTD is closely correlated with the heat source inlet temperature (HSIT), and there is a quadratic function between them, with the optimal PPTD from 2 to 21 °C for the HSIT ranging from 80 to 180 °C, which can be popularized in engineering applications.

Objective: The study aimed to investigate the relationship between the analgesic effect of sevoflurane and 5-serotonin receptor 1A (5-HT1A R) in the spinal cords of mice. Methods: Analgesic mouse models were established by intraperitoneal injection of emulsified sevoflurane, and the influence of p-MPPF (a specific antagonist of 5-HT1A Rs) intrathecal injection on the changes in tail-flick latency in tail-withdrawal test, pain threshold in hot-plate test (HPPT), and writhing times in acetic acid-induced writhing test were recorded. Results: Intraperitoneal injection of emulsified sevoflurane alone produced an analgesic effect (p < 0.05). p-MPPF (2, 4, and 8 μg) alone had no impact on tail-flick latency, HPPT, and writhing times in mice (p > 0.05). The 3 doses of p-MPPF reduced the tail-flick latency or HPPT. p-MPPF 8 μg can increase the writhing times (p < 0.05) in analgesic mice with sevoflurane, while p-MPPF 2 and 4 μg did not affect the writhing times. Conclusion: 5-HT1A Rs in the spinal cord may be an important target for the analgesic effect of sevoflurane on the thermal nociception, but it has little relation to the anti-chemical chemical nociceptive effect of sevoflurane.

Technological advances are driving the growth of online health communities. However, there are some problems such as low user participation and insignificant social benefits in online health communities. This paper discusses the evolution law of information sharing behavior of members of online health community to study the influence of different behaviors on health information sharing results and explore the ways to improve the level of community information sharing. Based on BA scale-free network (Albert-László Barabás and Réka Albert scale-free network) , this paper established an information sharing behavior model for members of online health community with the evolutionary game theory method, and discussed the influence of different game parameters and initial conditions on the evolution results of information sharing behavior of community patients with the method of numerical experiment.Results: It is found that the key to improve the level of community information sharing is to improve the benefit of patients' information sharing, the proportion of patients sharing information at the initial moment, the degree of network nodes, and reduce the sharing cost. Community managers should improve the information conversion ability and information absorption ability of community patients through offline activities, professional guidance and other forms. At the same time, it can reduce the difficulty and risk of information sharing and strengthen the connection among members, thus comprehensively enhancing the value of the community.

BACKGROUND Online patient communities provide new channels for users to access and share medical information. In-depth study of users’ willingness to share information in online patient communities is of great significance for improving the level of information sharing among the patient community and the long-term development of communities. OBJECTIVE The aim of this study was to build a model of factors affecting patients’ willingness to share medical information from the perspective of both positive and negative utilities. Specifically, we aimed to determine the influence of online information support and privacy concerns, as well as the moderating effect of disease severity and information sensitivity of different patients on their willingness to share. METHODS Data from 490 users with experience in online patient communities were collected through a questionnaire survey, and structural equations were applied to empirically verify the model hypotheses. RESULTS Privacy concerns negatively affected the patients’ willingness to share information (PPP=.01). Disease severity positively moderated the impact of privacy concerns on sharing willingness (P=.05). However, the hypotheses that information sensitivity is a negative moderator and disease severity is a positive moderator of the impact of privacy concerns on sharing willingness could not be supported. CONCLUSIONS To improve the level of user information sharing, the online patient community should design a safe user registration process, ensure the confidentiality of information, reduce the privacy concerns of users, and accurately identify the information needs of patients to provide personalized support services.

The medical knowledge sharing community provides users with an open platform for accessing medical resources and sharing medical knowledge, treatment experience, and emotions. Compared with the recipients of general commodities, the recipients in the medical knowledge sharing community pay more attention to the intensity or overall evaluation of emotional vocabularies in the comments, such as treatment effects, prices, service attitudes, and other aspects. Therefore, the overall evaluation is not a key factor in medical service comments, but the semantics of the emotional polarity is the key to affect recipients of the medical information. In this paper, we propose an adaptive learning emotion identification method (ALEIM) based on mutual information feature weight, which captures the correlation and redundancy of features. In order to evaluate the proposed method’s effectiveness, we use four basic corpus libraries crawled from the Haodf’s online platform and employ Taiwan University NTUSD Simplified Chinese Emotion Dictionary for emotion classification. The experimental results show that our proposed ALEIM method has a better performance for the identification of the low-frequency words’ redundant features in comments of the online medical knowledge sharing community.

Hepatitis and hepatocellular carcinoma are serious human diseases. Here, we examined the in vivo and in vitro inhibitory effect of extracts of Qizhu decoction (a traditional Chinese medicine) on hepatitis caused by diethylnitrosamine or hepatitis B virus and on diethylnitrosamine-induced hepatocellular carcinoma. The results showed that both the aqueous and ethanol extracts (QC and QS, respectively) of Qizhu decoction significantly inhibited hepatic inflammation and liver cancer induced by diethylnitrosamine or hepatitis B virus by suppressing NF-κB signaling and decreasing the levels of TNF-α and IL-1β. Both QC and QS inhibited the proliferation and migration of primary cancer hepatocytes by reducing cyclin B1, cyclin D1 and N-cadherin expression and increasing E-cadherin expression. QC and QS also promoted the apoptosis of primary cancer hepatocytes by upregulating caspase-3 and downregulating BCL-2 expression. The knockdown of p65 in NF-κB signaling inhibited the ability of QC and QS to significantly reduce the colony formation ability of liver cancer cells. Additionally, QC and QS might significantly inhibit the DNA replication of hepatitis B virus in vivo and in vitro, and we found that corilagin and polydatin were the active compounds of QC and QS. Taken together, our in vitro findings and our results in C57BL/6 mice showed that extracts of Qizhu decoction might inhibit hepatitis and hepatocellular carcinoma by suppressing NF-κB signaling.

In this paper, the frosting experiment was carried out by the wind tunnel experimental device in the single experimental section of the closed-mouth return flow. Through the experimental study on the influence of heat exchange temperature difference on the growth characteristics of the frosting layer in the finned evaporator under the experimental conditions of different initial head wind speeds, the following conclusions were drawn: At 2m/s, the frost thickness of finned tube evaporator increases gradually with the frosting time at different heat exchange temperature differences. At 3, 4, 5m/s initial face wind speed, the frost thickness of finned tube evaporator grows in a three-stage pattern at different heat exchange temperature differences. The cooling capacity of the evaporator at different face wind speeds and different heat transfer temperature differences increases first and then decreases with the frosting time.

Frosting diagnosis is important in refrigeration system control. This paper focuses on frosting diagnosis in a single-stage vapor compression refrigeration system. According to the reduction of refrigerating capacity, the experimental data of frosting can be divided into three categories: light, moderate and severe frosting. Then, two frosting prediction models are established with Back Propagation neural network (BPNN) model and Elman neural network (ENN) model. The simulation results illustrate that the overall diagnostic performance of the ENN is better than that of BPNN. The mean squared error (MSE) should be paid more attention for affecting the accuracy of models. The presented method in this paper can provide technical reference for frosting prediction.

A novel temporal case-matching framework is proposed to align multi-granularity modeling with decision making.The temporal classification system based on an inference engine leverages multi-scale features for interpretable reasoning.A bilevel mixed integer optimization model is proposed to select the optimal combination of multi-scale features.Belief integrating rules are adapted to identify the decision state of queries.The method propagating the case matching to predict modeling exhibits a satisfactory performance. With the rapid growth in volume of temporal medical data, predicting physiological states plays an important role in classifying medical cases. In this study, we propose a novel temporal classification framework that aligns multi-granularity modeling with decision-making. Particularly, we present a method for propagating case matching to predict unlabeled temporal cases and optimize the information value, which is the amount gained by the feature reconstruction module in answering queries. The proposed method facilitates the execution of multi-granularity case matching with temporal similarity and provide practitioners with a useful method of understanding temporal case-based reasoning. In the proposed method, the objective functions in a bilevel mixed integer optimization are the size of the reconstructed feature sets and their information values, which trade off the utility of additional information against the cost of feature combination depending on the decision variable. Unlike the conventional case matching method that uses all temporal features, the proposed method establishes effective classification rules based on the optimal temporal feature set. Moreover, this method also adapted multi-scale entropy to extract the dynamic features from multivariate temporal data. The numerical experiment verifies the effectiveness of the modeling framework and the robustness of the classification rules.

The aim of the present study was to establish an experimental animal model of fracture nonunion, and to investigate the changes in serum biomarker concentrations in fracture nonunion. A total of 20 purebred New Zealand rabbits were divided into two group: A bone defect group and a bone fracture group. In the bone defect group, a 15-mm section of bone (including the periosteum) was removed from the mid-radius, and the medullary cavities were closed with bone wax. In the bone fracture group, the mid-radius was fractured. X-rays were taken and blood samples were collected preoperatively and at 2, 3, 4, 5, 6, 7, 8, 10 and 12 weeks after the surgical procedure. The serum concentrations of osteocalcin (OC) and bone-specific alkaline phosphatase (BSAP) served as markers of bone formation, and those of C-terminal telopeptide of type I collagen (CTX), N-terminal telopeptide of type I collagen (NTX) and tartrate-resistant acid phosphatase 5b (TRACP 5b) served as markers of bone resorption. The concentration levels of the markers were measured using a biotin double-antibody sandwich enzyme-linked immunosorbent assay. In the bone defect group, bone callus was observed on X-ray at 2 weeks in three rabbits and the bone calluses stabilized at 5 weeks; however, none of the bones had healed at 8 weeks. In the bone fracture group, the fracture line was distorted at 2 weeks and bone calluses formed at 6–8 weeks. In the bone defect group, the serum BSAP and TRACP 5b concentrations increased following the surgical procedure, peaked at 4 weeks, began to decrease at 5 weeks and stabilized after 6 weeks. The serum OC concentrations did not change significantly following the surgical procedure. The serum CTX concentrations fluctuated during the first 4 weeks, peaked at 5 weeks, then decreased and stabilized after 6 weeks. The serum NTX concentrations fluctuated during the first 4 weeks, were significantly lower at 5 weeks compared with the other time points and stabilized after 6 weeks. These results suggested that a bone nonunion model can be established in New Zealand rabbits by resecting a 15-mm section of bone from the mid-radius prior to bone wax blocking. Measurement of the serum BSAP, CTX, NTX, and TRACP 5b concentrations may be useful for the early detection of bone nonunion. The serum NTX concentrations changed significantly in rabbits with bone nonunion. Further studies are required in order to determine the feasibility of using serum NTX concentrations for the early diagnosis of bone nonunion.

We propose a novel dynamic traffic signal coordination method that takes account of the special traffic flow characteristics of urban arterial roads. The core of this method includes a control area division module and a signal coordination control module. Firstly, we analyze and model the influences of segment distance, traffic flow density, and signal cycle time on the correlation degree between two neighboring intersections. Then, we propose a fuzzy computing method to estimate the correlation degree based on a hierarchical structure and a method to divide the control area of urban arterial roads into subareas based on correlation degrees. Subarea coordination control arithmetic is used to calculate the public cycle time of the control subarea, up-run offset and down-run offset of the section, and the split of each intersection. An application of the method in Shaoxing City, Zhejiang Province, China shows that the method can reduce the average travel time and the average stop rate effectively.

A combined cooling and power (CCP) system driven by the compressed air energy storage (CAES) with inter-cooling is presented, and the air cooling is compared with that of an air compression refrigeration cycle (ACRC). The main objective of this paper is to evaluate the system performance, such as the volumetric flow ratio (VFR), the size parameter (SP), the ambient temperature, the temperature at the expander inlet, the power consumption of the compressor, and the power output of the air expander. The air discharge from the cold storage is used as the heat sink for air inter-cooling. Results show that the air expander can recover most of the power consumed by the air compressor. The air temperature at the expander outlet can be controlled by adjusting the air temperature difference (ATD) between the compressor outlet and the expander inlet, and the ATD is one of the main factors that influence the power output of the air expander and the net power consumption. To realize the air cooling for the cold storage, most of the power consumption of the compressor can be simultaneously recovered by the air expander. Compared with the ACRC, the air cooing by the air expander is superior for the ATD higher than 36 °C. Overall, the CCP can recover most of the power consumption of the air compressor and realize the air cooling as a by-product for cold storage, which can be popularized in engineering applications.

We investigate the elastic constants, ideal tensile strength, and ideal shear strength of single-phase TiVNbMo high entropy alloy (HEA) via a combination of the density functional theory (DFT) with the vitural lattice approximation (VCA). The coherent potential approximation (CPA) was employed to confirm the reliability of VCA for TiVNbMo by comparing the calculated elastic moduli. The tensile strength σ of TiVNbMo is about 10 GPa at the strain e =0.14 along the orthorhombic path, while σ =19 GPa at the strain e =0.18 along the tetragonal path. The ideal shear strength is σ =8.5 GPa at e =0.20 under {110} shear, while σ =1.25 GPa at strain e= 0.10 for {211} shear. The results imply that the alloying formation of TiVNbMo does not enhance the inherent ductility, while the inherent strengh is also low compared to the pure metals V, Nb and Mo.

Seven novel 2-amino-6-oxo-3-(piperidinylamidino)-4-aryl-6,7-dihydro-pyrano[2,3-d]-5,7-thiazol derivatives, which are different with the products of 2-amino-3-cyano-6-oxo-4-aryl-6,7-dihydropyrano[2,3-d]-5,7-thiazol derivatives in the conventional heating conditions, were synthesized by using arylidenemalononitrile, 2,4-thiazolidinedione and piperidine in one-pot via microwave irradiation techniques. The reaction condition is mild and we get these new compounds highefficiently in a very short reaction times, which provides an elegant methodology for the synthesis of highly functionalized pyrano[3,2-d]-5,7-thiazole derivatives. At the end, the reaction mechanism was

In this work, LiFePO4/C (LFP/C) cathode materials with superior electrochemical performance have been prepared by coaxial and uniaxial electrospinning method. The electrode materials were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). Also, cyclic voltammetry (CV), galvanostatic charge-discharge, and electrochemical impedance spectroscopy (EIS) measurements were performed on these materials. The experimental results indicate that the electrochemical properties of LFP/C-C, such as specific capacity, coulombic efficiency, Li+ diffusion coefficient and overpotential are significantly improved. The enhanced electrical conductivity and polarization of the LFP/C-C electrode are mainly due to its porous morphology and amorphous carbon coating layer.

The new class of high-entropy alloys (HEAs) materials have shown interesting properties, such as high strength and good ductility. However, HEAs present a great challenge for conventional ab initio calculations and the few available theoretical predictions involve a large degree of uncertainty. An often adopted theoretical tool to study HEAs from first-principles is based on the exact muffin-tin orbitals (EMTO) method in combination with the coherent potentials approximation (CPA), which can handle both chemical and magnetic disorders. Here we assess the performance of EMTO-CPA method in describing the elastic properties of HEAs based on Co, Cr, Fe, Mn, and Ni. We carefully scrutinize the effect of numerical parameters and the impact of various magnetic states on the calculated properties. The theoretical results for the elastic moduli are compared to the available experimental values.

Background: The diagnosis and treatment of bone nonunion have been studied extensively. Diagnosis and treatment of nonunion are mainly performed based on the interpretation of clinico-radiographic findings, which depend on the clinician′s experience and the degree of bone callus formation during the fracture-healing process. However, resolution may be compromised when the bone mineral content is

In this work, manganese ferrite nanocubes were synthesized by thermal calcination of Prussian blue analogues. The obtained products inherited the high porous structure of the metal–organic frameworks and were employed to construct an efficient non-enzymatic hydrogen peroxide sensor. The electrochemical sensor showed fast and reliable response towards the hydrogen peroxide with the sensitivity of 53.7 μA/mM cm2. The linear range was from 1 μM to 24 mM and the detection limit was 0.3 μM. The results revealed the high electrocatalytic activity of the manganese ferrite nanocubes owing to the metal–organic framework structure.

Background Online patient communities provide new channels for users to access and share medical information. In-depth study of users’ willingness to share information in online patient communities is of great significance for improving the level of information sharing among the patient community and the long-term development of communities. Objective The aim of this study was to build a model of factors affecting patients’ willingness to share medical information from the perspective of both positive and negative utilities. Specifically, we aimed to determine the influence of online information support and privacy concerns, as well as the moderating effect of disease severity and information sensitivity of different patients on their willingness to share. Methods Data from 490 users with experience in online patient communities were collected through a questionnaire survey, and structural equations were applied to empirically verify the model hypotheses. Results Privacy concerns negatively affected the patients’ willingness to share information (P Conclusions To improve the level of user information sharing, the online patient community should design a safe user registration process, ensure the confidentiality of information, reduce the privacy concerns of users, and accurately identify the information needs of patients to provide personalized support services.

For the imbalanced classification problems, most traditional classification models only focus on searching for an excellent classifier to maximize classification accuracy with the fixed misclassification cost, not take into consideration that misclassification cost can change with sample probability distribution. So far as we know, cost-sensitive learning method can be effectively utilized to solve imbalanced data classification problems. In this regards, we propose an integrated TANBN with cost-sensitive classification algorithm (AdaC-TANBN) to overcome the above drawback and improve classification accuracy. The AdaC-TANBN algorithm employs variable misclassification cost determined by samples distribution probability to train classifier, then implements classification for imbalanced data in medical diagnosis. The effectiveness of our proposed approach is examined on the Cleveland heart dataset (Heart), Indian liver patient dataset (ILPD), Dermatology dataset and Cervical cancer risk factors dataset (CCRF) from the UCI learning repository. The experimental results indicate that the AdaC-TANBN algorithm can outperform other state-of-the-art comparative methods.

Class imbalance is a common issue in medical diagnosis. Although standard radial basis function neural network (RBF-NN) has achieved remarkably high performance on balanced data, its ability to classify imbalanced data is still limited. So far as we know, cost-sensitive learning is an advanced imbalanced data processing method. However, few studies have focused on the combination of RBF-NN and cost sensitivity. From our knowledge, only one paper has proposed a cost-sensitive RBF-NN for software defect prediction. However, the authors implemented a fixed RBF-NN structure. In this paper, a novel cost-sensitive RBF-NN that optimizes structure and parameters simultaneously is proposed to handle medical imbalanced data. Genetic algorithm (GA) and improved particle swarm optimization (IPSO) are used to optimize the structure and parameters of cost-sensitive RBF-NN respectively, and the optimization of cost-sensitive RBF-NN based on dynamic structure is realized. A cost-sensitive function determined adaptively by the sample distribution as the objective function of RBF-NN, so that it can adapt to datasets with different sample distributions. Experimental results show that the proposed cost-sensitive RBF-NN outperforms other state-of-the-art representative algorithms for five imbalanced medical diagnostic datasets in term of accuracy and area under curve (AUC). It can improve the accuracy of medical diagnosis and reduce the error rate of medical decisions.

Malignant glioma is the most common primary malignancy in the brain. It is aggressive, highly invasive, and destructive. Studies have shown that sevoflurane can affect the invasion and migration of a variety of malignant tumors. However, its effects on human glioma cells and related mechanisms are not clear. Cultured U251 and U87 cells were pretreated with sevoflurane. The effect of sevoflurane on cell proliferation, migration, apoptosis and invasion ability were evaluated by MTT, wound healing assay, cell apoptosis and transwell assays, respectively. miRNA-124-3p and ROCK1 signaling pathway genes expression in sevoflurane treated cell lines was measured by quantitative real-time PCR (qRT-PCR) and western blotting analysis. The potential target genes of miRNA were predicted by online software. Luciferase reporter assay was employed to validate the direct targeting of ROCK1 by miRNA-124-3p. In present studies, sevoflurane inhibits glioma cells proliferation, invasion and migration. Additionally, inversely correlation between miR-124-3p and ROCK1 expression in sevoflurane treated glioma cells was observed. Furthermore, sevoflurane inhibits glioma cells proliferation, migration and invasion through miR-124-3p/ROCK1 axis. Taken together, our study revealed that sevoflurane can inhibit glioma cell proliferation, invasion and migration. Its mechanism may be related to the upregulation of miR-124-3p, which suppresses ROCK1 signaling pathway. The results of the study will help to understand the pharmacological effects of inhaled general anesthetics more comprehensively and help to provide an experimental basis for selecting more reasonable anesthetics for cancer patients.

Output voltage and fuel utilization control of Solid Oxide Fuel Cells (SOFCs) is challenging due to large inertia, nonlinearity and safety related constraints associated with the system. The academic community seeks to solve this problem by resorting to Model Predictive Control (MPC), which is convenient to formulate the difficulties in its receding horizon optimization problem. However, the high demand of MPC for online computation limits its application in practical engineering. In this paper, a combined control strategy with MPC and L1 adaptive control (L1AC) is proposed to handle the control difficulties in SOFC with acceptable computation cost. The L1AC compensates the system nonlinearity and disturbances as lumped uncertainty with guaranteed performance and then provide an ideal linear model for MPC. Then MPC provides optimal control signal with all the system constraints satisfied. The simulation result shows the proposed control system has good performance of regulation and disturbance rejection. The computation time for MPC is much less than the sampling time and is capable of practical application.