Miracle-dz/UniFAR-FTUs huggingface dataset:
Quercetin Protects Ethanol-Induced Hepatocyte Pyroptosis via Scavenging Mitochondrial ROS and Promoting PGC-1α-Regulated Mitochondrial Homeostasis in L02 Cells

Alcoholic liver disease (ALD) is a multifaceted process that involves excessive lipid, reactive oxygen species (ROS) production, unbalanced mitochondrial homeostasis, and ultimate cell death. Quercetin is a dietary phytochemical presented in various fruits and vegetables, which has anti-inflammatory and antioxidant effects. According to recent advances in pharmanutritional management, the effects of quercetin on various mitochondrial processes have attracted attention. In the study, we explored whether quercetin could attenuate ethanol-induced hepatocyte pyroptosis by maintaining mitochondrial homeostasis and studied its hepatoprotective effect and the underlying mechanism. We chose L02 cells to establish an in vitro model with ethanol-induced hepatocyte pyroptosis. Then, the cells at approximately 80% confluence were treated with quercetin (80, 40, and 20 μM). The cell viability (CCK-8) was used to investigate the effect of quercetin on ethanol-induced L02 cell proliferation. Relative assay kits were used to measure oxidative stress index (OSI = TOS/TAS), lipid peroxidation (LPO) release, and mitochondrial membrane potential (δΨm). The morphology of mitochondria was characterized by transmission electron microscopy- (TEM-) based analysis. Mitochondrial dynamics (Mito Tracker Green), mitROS (MitoSOX Red Mitochondrial Superoxide) production, and nuclear DNA (nDNA) damage (γH2AX) markers were detected by immunofluorescence. The mRNA levels of mitochondrial function (including mitochondrial DNA (mtDNA) transcription genes TWNK, MTCO1, and MFND) and pyroptosis-related genes were detected by RT-qPCR, and the protein levels of NLRP3, ASC, caspase1, cleaved-caspase1, IL-18, IL-1β, and GSDMD-N were detected by western blot. The results showed that quercetin treatment downregulated redox status, lipid droplets, and LPO release, restored damaged mitochondrial membrane potential, and repaired mtDNA damage, PGC-1α nuclear transfer, and mitochondrial dynamics. The gene and protein expressions of NLRP3, ASC, cleaved-caspase1, IL-18, IL-1β, and GSDMD-N were decreased, which effectively inhibited cell pyroptosis. Therefore, the results indicated that quercetin protected ethanol-induced hepatocyte pyroptosis via scavenging mitROS and promoting PGC-1α-mediated mitochondrial homeostasis in L02 cells.
Losing Prospective Entitlement to Unemployment Benefits. Impact on Educational Attainment

IZA DP No. 15439 JULY 2022 Losing Prospective Entitlement to Unemployment Benefits. Impact on Educational Attainment Providing income support to unemployed education-leavers reduces the returns to investments in education because it makes the consequences of unemployment less severe. We evaluate a two-part policy reform in Belgium to study whether conditioning the prospective entitlement to unemployment benefits for education-leavers on age or schooling attainment can affect educational achievements. The results show that the prospect of financial loss in case of unemployment can significantly raise degree completion and reduce dropout in higher education, but not in high school. We argue that the higher prevalence of behavioral biases among lower educated and younger students could explain these contrasting findings. JEL Classification: H52, I21, I26, I28, J08, J18, J24, J65, J68
Work Motivation of Primary Health Workers in China: The Translation of a Measurement Scale and Its Correlation with Turnover Intention

Background High turnover intention, as a manifestation of low work motivation, is a crucial barrier to strengthening primary health systems worldwide, including in China. Targeting those being less motivated will be a realistic choice to retain primary health workers. This study translate, adapt, and validate the Work Motivation Scale for Health Workers (WMSHW) scale to directly measure and rate health workers’ motivation composition based on Self-Determination Theory, and assessed how health workers with different levels of motivation being associated with the turnover intention. Methods The process of translation and cross-cultural adaptation followed the recommendations of international guidelines. Participants include 1341 health workers within 75 primary health institutions from 6 provinces in China. The reliability and validity of the scale was analyzed. Cluster analysis in a person-centered approach and logistic regression analysis was used to understand how different combinations of motivations related to intention to leave. Results Confirmatory factor analysis indicated that the modified five-factor model had a better fit than the other models in accordance with the original English version. The factor loads were high and ranged from 0.70 to 0.9. Cronbach’s alpha coefficients for five dimensions of the Chinese WMSHW ranged from 0.81 to 0.94, indicating the scale’s high internal consistency. Four distinct clusters of work motivation were found in this study, representing low motivated, highly controlled, highly autonomous and highly motivated primary health workers. Compared with low motivation group, both controlled and autonomous motivation groups were more likely to have lower turnover intention. The negative relationship between motivation and intention to leave became stronger with the level of motivation increasing: highly controlled cluster (OR: 0.47; 95% CI: 0.35–0.63), highly autonomous (OR: 0.27; 95% CI: 0.18–0.41) and highly motivated (OR: 0.20; 95% CI: 0.15–0.27). Conclusion The Chinese version of WMSHW showed satisfactory reliability and validity and can be used as an instrument for measuring and rating the work motivation of Chinese health workers. The primary health workers were grouped into four motivation levels based on this scale. Both controlled and autonomous motivation could work in reduce the turnover intention, and the influence of autonomous motivation on retaining was stronger.
Charged System Search and Magnetic Charged System Search Algorithms for Construction Site Layout Planning Optimization

Construction site layout planning can be considered as an effort to place different temporary facilities in available site locations such that multiple objectives are satisfied as much as possible. With the extension of high-rise building construction and construction activities besides the lack of available spaces in construction sites, proper utilization of this resource has been highlighted because of its significant positive influences on direct cost, safety, and security of the site which consequently affects the total cost and schedule of the project. Thus the construction site layout planning is considered as one of the essential and important phases in construction projects. Site layout planning problem is an NP-Hard problem from the viewpoint of complexity. In this research, two prominent meta-heuristic algorithms, namely Charged System Search (CSS) and Magnetic Charged System Search (MCSS) are utilized to optimize the site layout planning problem. The obtained results of implementing these two algorithms for two different types of site space modeling are compared with the results of the Particle Swarm Optimization (PSO) algorithm and also those of the previous studies. The results illustrate the capability of the CSS and MCSS algorithms in solving the present problem.
Research on Numerical Calculation Method of Critical Load for Bolt Loosening under Transverse Loading

： In order to evaluate the anti-loosening ability of bolt and guide the selection of the bolt in use, a numerical formula of critical load for bolt loosening is obtained through the force analysis in different circumferential positions of thread. Inhibiting localized thread slip is the condition of avoiding loosening in the formula derivation. The critical loads of the M5 bolts under 2 000 N and 2 500 N preloads are tested by the transverse vibration device and calculated by the numerical formula, respectively. The results show that the critical loads obtained by test and calculation are 302.5 N and 280.3 N for the bolt with 2 000 N preload, 372.5 N and 350.4 N for the bolt with 2 500 N preload. The relative errors between the test and calculation results are 7.3% (2 000 N) and 5.9% (2 500 N) respectively, confirming the accuracy and reliability of the numerical formula. Then, the effect of the structure parameters of bolt on the critical load for bolt loosening is analyzed based on the numerical formula. The results show that increasing the clamping load, the thread friction coefficient, the bolt diameter, the thread angle, and decreasing the clamping length, the lead angle, can contribute to increasing this critical load, and improve the anti-loosening ability of bolt.
Galactic and extragalactic super-novae rates

Supernova explosions are rare events. Only 5 supernovae [Lupus (1006), Crab (1054), Tycho (1572), Kepler (1604) and Cas A (1658 ± 3)] are known with certainty to have occurred in the Galaxy during the last millenium. Other Galactic supernovae, no doubt, occurred during this period but escaped detection because of heavy obscuration.
Analysis of Key Fuel Properties Inside Combination Electronic unit Pump Fuel Pipeline

Abstract Because of high pressure fluctuations in Combination Electronic Unit Pump (CEUP) system during fuel injection cycles, physical properties of diesel fuel including density, acoustic wave speed and bulk modulus also vary. These physical properties of fuel have significant importance in predicting the fuel injection behavior and its optimization. A 1D viscous damped mathematical model of wave equation has been developed in MATLAB not only to simulate the pressure fluctuations in fuel pipeline at various operating conditions of diesel engine but also to determine and analyze the variations in these physical properties of diesel fuel.
Comparative Study between EKF, SVSF, Combined SVSF-EKF, and ASVSF Approaches based Scale Estimation of Monocular SLAM

: This paper presents a comparative study of scale recovering in monocular simultaneous localization and mapping (Mono-SLAM) by adopting and adapting four estimators into a multi-rate fusion mechanism and considering the scale as an element of the state vector. These estimators are: extended Kalman filter (EKF), smooth variable structure filter (SVSF), combined SVSF-EKF, and particularly adaptive smooth variable structure filter (ASVSF). The use of the ASVSF estimator represents the novelty of this paper because it provides a robust estimation of the trajectory scale as well as the covariance matrix at each iteration. This later represents the estimation incertitude. A second sensor is involved (inertial measurement unit (IMU)) as a reference to align the up to scale trajectory provided by the Mono-SLAM box. The designed system allows finding the scale factor with a rate not further than the IMU frequency and avoids complex synchronization. In order to outline the limitation of each estimator used for scale recovering, a deep analysis of the proposed approaches in terms of robustness, stability, accuracy, and real-time constraint was carried out.
Epidemiological aspects of the feet mycosis in a Chinese soccer team

Podal fungal infections can interfere in the sportive performance, since they provoke discomfort and pain in the athletes. The purpose of this study was to assess the prevalence of podal fungal infections in a professional soccer team, verifying the more frequent agents and the predisposing factors to that condition. The research had a transversal and descriptive outlining. The sampling was composed by twenty-two 23 to 36 years old male athletes from the professional Chinese soccer team on the occasion they participated in a game series in Curitiba (PR). All athletes were clinically assessed, and they were submitted to mycological examinations (direct and culture) of the skin and nail's squamas from their feet, as well as to a histopathologic study of the ungual fragment. The results found were: twelve cases (54.5%) did not present mycosis; 5 cases (22.72%) presented isolated onychomycosis, and 5 cases (22.72%) presented onychomycosis associated to tinea pedis, having as major isolated agent the Trichophyton rubrum. The predisposing agents pointed by athletes included: bath in a public place (85%), sports practice (76%), use of closed shoes (70%), contact with pets (63%), and irregular feet hygiene (50%). CONCLUSION: The frequency of the onychomycosis in Chinese athletes was higher than in the general population. The most frequent agent found it was the Trichophyton rubrum. The individual habits may contribute to the acquisition of these fungal infections added to the direct trauma provoked by the shoe and the ball, as well as to the physical contact during the trainings and games that may favor the cutaneous and ungual injuries.
Efficient secure state estimation against sparse integrity attack for regular linear system

We consider the problem of estimating the state of a time‐invariant linear Gaussian system in the presence of integrity attacks. The attacker can compromise p$$ p $$ out of m$$ m $$ sensors, the set of which is fixed over time and unknown to the system operator, and manipulate the measurements arbitrarily. Under the assumption that the system is regular and system matrix A$$ A $$ is non‐singular, we propose a secure estimation scheme that is resilient to p$$ p $$ ‐sparse attack as long as the system is 2p$$ 2p $$ ‐sparse detectable, which achieves the fundamental limit of secure dynamic estimation. In the absence of attack, the proposed estimation coincides with Kalman estimation with a certain probability that can be adjusted to trade‐off between performance with and without attack. Furthermore, the detectability condition checking in the designing phase and the estimation computing in the online operating phase are both computationally efficient. Two numerical examples including the IEEE 68 bus test system are provided to corroborate the results and illustrate the performance of the proposed estimator.
Effect of Teleworking on Working Conditions of Workers: A Post-COVID-19 Lockdown Evaluation

This study examines the effect of teleworking on working conditions of workers, a post-COVID-19 lockdown evaluation. The quantitative approach and descriptive cross-sectional research design were adopted. A sample of 265 participants from both public and private sectors were sampled for the study. Data was collected with a self-administered questionnaire and analyzed with partial least square structural equation modelling (PLS-SEM). The study found that teleworking/virtual working significantly affects participant’s working conditions during a pandemic. Furthermore, workplace safety and work schedules were also found to be significantly influenced by teleworking and eventually influencing the working conditions of teleworkers during a pandemic. The two most important predictors of decent working conditions for workers during the pandemic found by this study were teleworking and work schedules. Therefore, it was recommended that employers provide data and logistical support and training for workers to effectively use virtual/teleworking to enhance working conditions and eventually workers’ productivity during any pandemic.
Modeling and operation of the power-to-gas system for renewables integration: a review

Power-to-Gas (P2G) plays an important role in enhancing large-scale renewable energy integration in power systems. As an emerging inter-disciplinary subject, P2G technology requires knowledge in electrochemistry, electrical engineering, thermodynamic engineering, chemical engineering and system engineering. Aiming at P2G modeling and operational problems concerning the research field of power systems and the energy internet, this paper briefly reviews the main technologies and application potentials of the P2G system, and makes systematic summaries of major progresses related to P2G's integration into the power grid in a bottom-top manner, including the modeling of high/room-temperature electrolysis cells, steady-state/dynamic optimization control of the P2G system, P2G's integrated model and operational strategies at the grid level. In the final part of this paper, suggestions are put forward on future research directions of P2G systems from the aspects of modeling and operational optimization.
A novel model for simulating the racing effect in capillary-driven underfill process in flip chip

Underfill is typically applied in flip chips to increase the reliability of the electronic packagings. In this paper, the evolution of the melt-front shape of the capillary-driven underfill flow is studied through 3D numerical analysis. Two different models, the prevailing surface force model and the capillary model based on the wetted wall boundary condition, are introduced to test their applicability, where level set method is used to track the interface of the two phase flow. The comparison between the simulation results and experimental data indicates that, the surface force model produces better prediction on the melt-front shape, especially in the central area of the flip chip. Nevertheless, the two above models cannot simulate properly the racing effect phenomenon that appears during underfill encapsulation. A novel ‘dynamic pressure boundary condition’ method is proposed based on the validated surface force model. Utilizing this approach, the racing effect phenomenon is simulated with high precision. In addition, a linear relationship is derived from this model between the flow front location at the edge of the flip chip and the filling time. Using the proposed approach, the impact of the underfill-dispensing length on the melt-front shape is also studied.
Clinical, Hematological, Acute phase proteins and Radiographic changes in different respiratory affections in dogs and cats

Keywords Respiratory affections are important clinical problems recorded in dogs and cats affecting their health condition. This study was carried out on a total of 84 animals including 32 dogs and 52 cats of both sexes and different breeds suffering from different respiratory affections including pneumonia, aspiration pneumonia, Feline upper respiratory diseases(FURD) and Canine infectious respiratory disease(CIRD). Clinical, hematological, biochemical and radiographic changes during these affections were evaluated. In addition the most common incriminated bacteria was isolated and identified. The affected cases showed variable respiratory signs including dyspnea, nasal and ocular discharge, sneezing, cough, abnormal respiratory sound and abnormal lung sound. Hematological changes showed inflammatory leukogram represented by increasing in WBCs and neutrophil count Serum analysis showed marked increase in CRP, SAA and HP levels, with hyperproteinemia and hypoalbuminemia compared to reference value. The most common bacteria isolated from pneumonic cases were Klebsiella, E.coli, Staph. , Pseudomonas, Pasteurella, Proteus and Serratia. Radiographic examinations revealed abnormal radiographic patterns associated with the different affections. The present study concluded that clinical, hematological, biochemical combined with chest radiographic findings are essential for precise diagnosis of different respiratory affections in dogs and cats and the early diagnosis facilitate the prescription of relevant therapy and follow up procedures.
Perceived Safety and Separated Bike Lanes in the Midwest: Results from a Roadway Design Survey in Michigan

This article presents the results of an address-based sample survey (n = 351) conducted in the fall of 2016 for the Michigan Department of Transportation (MDOT) as part of an effort to provide guidance for building sidepaths. The survey investigated attitudes toward bicycling among drivers and bicyclists, bicycling habits, barriers to bicycling, and roadway design preferences regarding bicycle infrastructure in Michigan. In particular, this survey explored design preferences while bicycling with children, bicycling by oneself, and driving. Safety emerged as a key barrier to bicycling, as did distance, weather, and the difficulty of carrying things or traveling with others. Roadway design preferences were clearly weighted toward greater separation when sharing the roadway whether as a bicyclist or a driver, and this trend was most pronounced (p < 0.001) when considering bicycling with children. In all cases, ratings for one-way separated bike lanes were similar to those for sidepaths, suggesting that separated bike lanes could be a key part of addressing the safety and comfort concerns of more cautious riders. Preferences for separation were strongly associated with perceived safety as a barrier. These results were even stronger for non-transport-cyclists, although all groups, regardless of frequency or type of bicycling, preferred more separation. These results corroborate past research and add compelling evidence for separated facilities as a key part of expanding the potential for bicycling trips in general, and particularly with children. The survey findings will inform guidance about sidepath design for MDOT.
A comparative study to evaluate surface electromyographic correlations of mandibular implant-supported overdentures to conventional complete dentures in edentulous patients: An in vivo study

Aim: The aim of this study was to compare the function and coordination of masticatory muscles for patients with two implant-supported mandibular overdenture (ISOD) with that of conventional complete dentures (CCD) using surface electromyography (sEMG). The objectives were to assess the muscle activity (efficiency) and clinical outcome after the transition of CCD patients to ISOD. Setting and Design: This was a crossover study. Materials and Methods: This clinical trial was conducted in the department of prosthodontics. A total of 15 patients (nine males and six females) were assessed using sEMG. In each patient, a total of four surfaces were examined above the following muscles – right and left masseter and right and left temporalis muscles. The electromyography readings were recorded to assess muscle activity during Clenching, cotton roll clenching, and chewing. The readings were recorded first for CCD and then for ISOD (after installing attachments). Statistical Analysis Used: Data analysis was done using independent t-test and one-way ANOVA. Results: Mean muscular activity of masseter during clenching, cotton roll clenching, and chewing for patients with ISOD (44.3 ± 11.2 μV, 41.1 ± 13.4 μV, and 45.2 ± 17.5 μV) was higher than CCD (26.0 ± 11.3 μV, 22.6 ± 9.7 μV, and 24.2 ± 9.5 μV). The mean muscular activity of temporalis during clenching, cotton roll clenching, and chewing was also higher with ISOD (47.9 ± 11.2 μV, 45.6 ± 11.9 μV, and 51.0 ± 14.4 μV) than CCD (31.0 ± 12.2 μV, 29.7 ± 15.3 μV and 31.9 ± 14.2 μV). No statistically significant result was found between masseter and temporalis muscle activity on both sides (P < 0.05), indicating symmetrical activity on both the sides. Conclusion: Two-ISODs prove to be a better and efficient treatment modality in rehabilitating edentulous patients as it enhances retention and also increases masticatory muscle activity and chewing efficiency.
Lung Cancer Stage Prediction Using Multi-Omics Data

Lung cancer is one of the leading causes of cancer death. Patients with early-stage lung cancer can be treated by surgery, while patients in the middle and late stages need chemotherapy or radiotherapy. Therefore, accurate staging of lung cancer is crucial for doctors to formulate accurate treatment plans for patients. In this paper, the random forest algorithm is used as the lung cancer stage prediction model, and the accuracy of lung cancer stage prediction is discussed in the microbiome, transcriptome, microbe, and transcriptome fusion groups, and the accuracy of the model is measured by indicators such as ACC, recall, and precision. The results showed that the prediction accuracy of microbial combinatorial transcriptome fusion analysis was the highest, reaching 0.809. The study reveals the role of multimodal data and fusion algorithm in accurately diagnosing lung cancer stage, which could aid doctors in clinics.