Miracle-dz/UniFAR-FTUs huggingface dataset:
RELIABILITY IMPROVEMENT OF CAR SLIDING DOOR USING AXIOMATIC APPROACH

In this paper, we discuss the potential utilization of the Axiomatic Design methods in order to enhance the development of Failure Modes and Effects Analysis. At first the Axiomatic Design allows to describe the optimisation of decomposition physical-functional of the project. Due to this operation and to the esteemed RPN (RPNe) it is possible to enlighten the most critical components, so to establish a priority order for intervening on components. To use the FMEA it is important to have a very good knowledge of these components to make a new decomposition until reaching the functional requirements (FRs) and design parameters (DPs) leaves. At this state we must apply FMEA, calculating the true RPN. This approach has been validated by its application to the sliding door of Fiat Auto vehicle.
The Detection and Verification of Two Heterogeneous Subgroups and a Risk Model Based on Ferroptosis-Related Genes in Hepatocellular Carcinoma

# Background. Because of the heterogeneity of hepatocellular carcinoma (HCC) and the complex nature of the tumor microenvironment (TME), the long-term efficacy of therapy continues to be a clinical challenge. It is necessary to classify and refine the appropriate treatment intervention decision-making in this kind of tumor. Methods. We used “ConsensusClusterPlus” to establish a stable molecular classification based on the ferroptosis-related genes (FRGs) expression obtained from FerrDb. The clinical features, immune infiltration, DNA damage, and genomic changes of different subclasses were evaluated. The least absolute shrinkage and selection operator regression (LASSO) method and univariate Cox regression were utilized to construct the ferroptosis-related prognosis risk score (FPRS) model, and the association between the FPRS model and HCC molecular characteristics, immune features, and immunotherapy was studied. Results. We identified two ferroptosis subclasses, C1 with poor prognosis and a higher proportion of patients in the middle and late stages infected with HBV and HCV, having higher DNA damage including aneuploidy, HRD, fraction altered, and the number of segments, and higher probability of gene mutation and copy number mutation. FPRS model was constructed on the basis of differentially expressed genes (DEGs) between C1 and C2, which showed a higher area under the curve (AUC) in predicting overall survival rate in the training set and independent verification cohort and could reflect the clinical characteristics and response to immunotherapy of different patients, being an independent prognostic factor of HCC. Conclusion. Here, we revealed two novel molecular subgroups based on FRGs and develop an FPRS model consisting of six genes that can help predict prognosis and select patients suitable for immunotherapy.
The VIP/VPAC1R Pathway Regulates Energy and Glucose Homeostasis by Modulating GLP-1, Glucagon, Leptin and PYY Levels in Mice

Simple Summary The current study is the first complete characterization of the phenotypic, metabolic, calorimetric, and homeostatic effects of VPAC1R in a null murine model. To evaluate the role of VPAC1R on body phenotype, feeding behavior, glucose/energy homeostasis, metabolic rate and plasma hormones, a long-term study was conducted in VPAC1R−/− and WT mice. The outcome data document that VPAC1R−/− mice have altered metabolism and insulin intolerance, with significant increase of feeding bouts, reduction of total energy expenditure and respiratory gases during both the dark and light cycle, together with elevated fasting levels of GLP-1 and PYY, and higher postprandial levels of GLP-1, glucagon leptin and PYY. These findings suggests that VPAC1R controls glucose homeostasis and energy balance by regulating plasma metabolic hormones. Abstract Vasoactive Intestinal Peptide binds with high affinity to VPAC1R and VPAC2R, thus regulating key physiologic functions. Previously, we documented in VIP−/− mice a leaner body phenotype and altered metabolic hormones. Past reports described in VPAC2−/− mice impaired circadian rhythm, reduced food intake, and altered metabolism. To better define the effects of VPAC1R on body phenotype, energy/glucose homeostasis, and metabolism, we conducted a 12-week study in a VPAC1R null model. Our results reveal that VPAC1−/− mice experienced significant metabolic alterations during the dark cycle with greater numbers of feeding bouts (p = 0.009), lower Total Energy Expenditure (p = 0.025), VO2 (p = 0.029), and VCO2 (p = 0.016); as well as during the light cycle with lower Total Energy Expenditure (p = 0.04), VO2 (p = 0.044), and VCO2 (p = 0.029). Furthermore, VPAC1−/− mice had significantly higher levels of GLP-1 and PYY during fasting, and higher levels of GLP-1, glucagon leptin and PYY during postprandial conditions. In addition, VPAC1−/− mice had lower levels of glucose at 60′ and 120′, as assessed by insulin tolerance test. In conclusion, this study supports a key role for VPAC1R in the regulation of body glucose/energy homeostasis and metabolism.
Do manufacturing firms need informality in ERP post-implementation? A study of Chinese manufacturing sites

Purpose - Enterprise resource planning (ERP) systems are limited due to their operation around a fixed design production process and a fixed lead time to production plan and purchasing plan. The purpose of this paper is to define the concept of informality and to describe the notion of a system combining informality and ERP systems, based on empirical research from four manufacturing case studies. Design/methodology/approach - The case studies present a range of applications of ERP and are analysed in terms of the three characteristics of informality, namely, organisation structure, communication method and leadership approach. Findings - The findings suggest that systems consisting of informality in combination with ERP systems can elicit knowledge fromfrontlineworkers leading to timely improvements in the system. This is achieved by allowing users to modify work procedures or production orders, and to support collaborative working among all employees. However it was found that informality is not required for manufacturers with a relatively stable environment who can deal with uncertainty with a proactive strategy. Research limitations/implications - This study was carried out in China, with four companies as unit of analysis. Future work can help to extend this study across countries. Originality/value - The use of Four dimensions of informality that relate to manufacturers implementing ERP are defined as "technology in practice", "user flexibility", "trusted human networks" and "positive reaction to uncertainty". This is a new construct not applied before to ERP implementations.
COVID-19 Safety Measures in the Food Service Sector: Consumers’ Attitudes and Transparency Perceptions at Three Different Stages of the Pandemic

The food service sector was among the hardest hit by the COVID-19 pandemic. This study aims to examine consumers’ attitudes towards and transparency perceptions of COVID-19-related safety measures and to identify determinants of consumers’ intentions and behaviour regarding visiting restaurants and bars once reopened. By also surveying food service businesses, this study allows for comparison between both target groups. A total of 1697 consumers and 780 businesses participated in this study, conducted in Belgium both during and in between waves of infections. The findings demonstrate that consumers evaluated safety measures as important when revisiting restaurants and bars, against business owners’ expectations. Both consumers’ revisit intentions and behaviours are influenced by the perceived importance of hygiene measures (negatively) and past visit frequency (positively). This study highlights the importance of good compliance with safety measures as a strategy to attract customers during the reopening period. Further, our findings emphasize the importance of transparent communication by food service businesses and the government.
Using machine learning techniques to study economic trends in various U.S. industries in the post-epidemic era

The aim of the project is to predict and analyse broad trends across the US economy using stock data from mainstream companies in six industries on Forbes 2000 and data from COVID-19. A time series analysis approach was used to predict the daily increases in each company's share price. The following five supervised learning techniques (logistic regression, random forest, decision tree, neural network and XGBoost) were used. As the accuracy of the results predicted by the different models for each company varies considerably, only the results predicted by the most accurate model for each company have been selected for analysed. The results show that the Electronic Pleased Technology Industry and the Social Entertainment Internet Industry remain break-even for COVID-19; the E-Commerce Industry shows a significant increase; The Financial Services Industry shows a significant drop in share price, while the Insurance Industry and Pharmaceutical Industry show a small drop in share price.
Measures of Volatility, Crises, Sentiment and the Role of U.S. ‘Fear’ Index (VIX) on Herding in BRICS (2007–2021)

We look into determinants (volatility, crises, sentiment and the U.S. ‘fear’ index) of herding using BRICS as our sample. Investors herd selectively to crises and herding is a short-lived phenomenon. Herding was highest during the global financial crisis (only China was affected). There was no herding during the European debt crisis and COVID. With regard to the relationship between volatility and CSAD (cross sectional absolute deviation)/herding, a lower CSAD (movement in a specific direction) brings about less volatility. However, a high volatility amplifies herding (reduces CSAD), especially in China. Russia and South Africa are unresponsive to volatility levels (low/high) and herding. We also observe volatility heterogeneity. Different volatility measures have different effects on different markets. There is limited evidence to suggest that sentiment (based on principal component) Granger causes herding/CSAD. Herding is a period and market variant and unrelated to crises. The U.S. ‘fear’ index has a short-lived, limited effect on CSAD/herding (during COVID only) for all countries except China. In addition, Granger causality analysis indicates a two-way relationship between the U.S. ‘fear’ index and CSAD/herding, unrelated to crises.
Performance of Tunnel Ventilation for Freestall Dairy Facilities as Compared to Natural Ventilation with Supplemental Cooling Fans

Three pairs of naturally ventilated and tunnel-ventilated dairy barns were monitored during the summer of 2000 to compare the thermal environments developed by the two warm-season ventilation systems. Supplemental cooling fans were used within each of the naturally ventilated barns to direct airflow onto the cows. Ambient air temperatures during midsummer were cooler than normal in both New York and Ohio, but both states had near-normal cooling seasons. Both ventilation systems performed well during these temperate summer conditions with indoor thermal conditions closely tracking those outdoors. Tunnel ventilation provided only a slight advantage during the heat of the day in terms of moderating dry-bulb air temperature and THI. Each of the tunnel-ventilated barns provided a slightly cooler interior environment than its naturally ventilated counterpart when outdoor conditions were potentially stressful (THI greater than 70). The average advantages in terms of reduced differentials between indoor and outdoor environments were -0.4 C and -0.3 for air temperature and THI, respectively, for the tunnel-ventilated barns. Average air speeds within the cow spaces of the barn pairs were equal – no difference existed for the two summertime ventilation systems. Considerable spatial variation in air speed existed with both systems - at least a spread of 1 m/s in all barns. There was also no difference in temporal variation of airspeed in the cow spaces of the barns – both ventilation systems produced fluctuating airspeeds at cow level in one or more barn quadrants. Therefore, microclimate control should be an area of emphasis with both ventilation systems. Risk management approaches should be used to evaluate these systems on a regional basis using historical weather data. Improved designs are needed for tunnel ventilation to enable systems to maintain desired air velocities throughout the cow space and to better accommodate large barns.
Footwear fit perception with or without attention

Purpose: The overarching aim of this study was to evaluate the role of attention in basketball footwear fit perception. Experimental protocol: Twenty-nine university basketball players rated footwear fit of correctly fitted basketball shoes and of shoes half a US size smaller and half a US size bigger following three fit perception protocols of increasing complexity (Step-In; Basic Course; Basketball Specific Course). The fit perception protocols were completed both with and without concurrent performance of an attentionally demanding secondary task. Footwear fit was rated by response to both a four-variable scale and a two-variable scale. The experiment protocol was repeated on a second day to test for inter-day reliability. Results: The player's sensitivity to differences in shoe size was similar following each fit perception protocol and substantial and almost perfect inter-day reliability was demonstrated (ICC > 0.6). The imposition of a secondary task had no detrimental effect on players' capacity to differentiate shoe size (P > 0.05). Reducing the number of fit judgements resulted in superior shoe size differentiation (P < 0.05). Conclusion: The findings imply that the availability of attention would be similar across fit perception protocols of different complexity. Moreover, asking players to consider fewer aspects of forefoot shoe fit may result in better and more reliable judgements of shoe fit.
Seasonal variation in the response to a toxin‐producing cyanobacteria in
 Daphnia

Organisms commonly encounter environments that negatively impact their fitness, and many environmental stressors recur on a seasonal basis. Representative examples are temperate eutrophic lakes and ponds that experience seasonal algal blooms dominated by toxic cyanobacteria (O'Neil et al., 2012; Paerl & Huisman, 2008). Zooplankton that feed on phytoplankton, such as the nonselective grazer Daphnia, come into direct contact with cyanobacteria during algal blooms, which typically occur in midto late summer (Hansson et al., 2007; Sivonen et al., 1990; Sommer et al., 1986). Cyanobacteria are known to affect Daphnia negatively in several different ways, including through their low nutritional Received: 19 November 2020 | Revised: 24 November 2021 | Accepted: 29 November 2021 DOI: 10.1111/fwb.13899
Episodic Learning in Nonparametric Few-shot Classiﬁcation: A Case Study

In this section we demonstrate that the total number of training pairs that the NCA loss can exploit within a batch is always strictly superior or equal to the one exploited by the episodic batch strategy used by Prototypical Networks (PNs) and Matching Networks (MNs). To ensure we have a “valid” episodic batch with a nonzero number of both positive and negative distance pairs, we assume that n,m ≥ 1, and w ≥ 2. Below, we show that the number of positives for the NCA, i.e. ( m+n 2 ) w, is always greater or equal than the one for PNs and MNs, which is mnw: ( m+ n 2 ) w = (m+ n)! 2! (m+ n− 2)! w
Pengaruh Model Pembelajaran Teaching Game for Understanding Terhadap Hasil Belajar Pendidikan Jasmani

menyesuaikan praktik pengajaran dengan mengembangkan mentalitas dan pengetahuan bersamaan dengan pelaksanaan pendekatan reflektif. Untuk mengetahui kemapuan berpikir reflektif yang dimiliki siswa maka dapat dikembangkan dengan mengacu pada interaksi sosial. Penelitian ini menerapkan model Teaching Game for Understanding (TGfU) dalam meningkatkan hasil belajar pendidikan jasmani, adapun tujuan dari penelitian ini adalah untuk mengetahui pengaruh model pembelajaran TGfU terhadap peningkatan hasil belajar siswa. Penelitian ini menggunakan metode eksperimen dengan desain penelitian one grup pretest posttest desaign. Hasil penghitungan menunjukkan nilai signifikansi 0,003, hal ini menujukan bahwa nilai signifikansi < 0,005 dengan demikian Ho ditolak. Rekomedasi penelitian ini adalah bahwa dalam meningkatkan hasil belajar Pendidikan Jasmani disarankan menggunakan model pembelajaran TGfU.
Is Emergency Surgery an Indicator of Good Functional Outcomes in Neck of Femur Fractures Among Adults: A Prospective Clinical Study

Background Because of their high frequency and severity, femoral neck fractures are a major public health concern. There is a scarcity of recorded literature that relates the timing of surgery, the effect of displacement, and the tamponade effect of the neck of the femur fracture (FNF) issues such as non-union and avascular necrosis of the femoral head after surgery. This study aimed to assess the association between the timing of the surgery and its functional outcome and surgical complications. Methodology This observational study was done among patients diagnosed with an FNF who were admitted in a tertiary care center for a period of three years. The study included 36 participants who were selected using the universal sampling technique. Regarding the timing of the surgery, the study participants were divided into two groups, namely, patients who were operated on before 24 hours and those who were operated on after 24 hours. Results The mean age of the study participants was 36.19 years, and about 75% were males. About 25% of the participants had a complication. There was a statistically significant association between functional assessment at 24 months and surgery done before 24 hours and non-displaced fracture. Moreover, there was a statistically significant association between the timing of surgery before 24 hours and fewer complications. Conclusions In young adults, the timing of the surgery (before 24 hours) had good functional outcomes after 24 months than the late timing of the surgery (after 24 hours). Whereas there was no statistically significant difference for functional outcomes at the one-month follow-up with the timing of the surgery. Males had a high probability of getting an FNF. The prevalence of complications was low in individuals operated on before 24 hours.
2-Fluorofucose Attenuates Hydrogen Peroxide-Induced Oxidative Stress in HepG2 Cells via Nrf2/keap1 and NF-κB Signaling Pathways

Fucosylation is one of the most important glycan terminal modifications that affects multiple biological activities of proteins. 2-Fluorofucose (2FF), its specific inhibitor, has recently been reported to reveal numerous biological effects by blocking fucosylation both in vitro and in vivo. The current study aimed to evaluate the effect of 2FF on hydrogen peroxide (H2O2)-induced oxidative damage in vitro. In our study, treatment with H2O2 increased the level of fucosylation, and 2FF improved the cell viability in H2O2-treated HepG2 cells. Our study also showed that 2FF significantly decreased the overproduction of reactive oxygen species (ROS) induced by H2O2 and the activities of catalase, glutathione and Mn-superoxide dismutase were remarkably increased by 2FF pretreatment. Furthermore, 2FF attenuated H2O2-induced early mitochondria dysfunction. The second part of the study revealed that 2FF enhanced antioxidant capacity by affecting Nrf2/keap1 and NF-κB signaling pathways in HepG2 cells. Being pretreated with 2FF significantly increased the nuclear translocation of Nrf2 and simultaneously promoted the expression of downstream proteins, such as HO-1 and NQO1. Moreover, 2FF remarkably suppressed the expression of inflammation-associated proteins. Taken together, these data suggest that 2FF might have a potential therapeutic effect for oxidative stress.
Smart operators: How augmented and virtual technologies are affecting the worker's performance in manufacturing contexts

Purpose: The correct interaction between the workforce and augmented, virtual, and mixed reality technologies represents a crucial aspect of the success of the smart factory. This interaction is, indeed, affected by the variability of human behavior and its reliability, which can strongly influence the quality, safety, and productivity standards. For this reason, this paper aims to provide a clear and complete analysis of the impacts of these technologies on the performance of operators.Design/methodology/approach: A Systematic Literature Review (SLR) was conducted to identify peer-reviewed papers that focused on the implementation of augmented and virtual technologies in manufacturing systems and their effects on human performance.Findings: In total, 61 papers were selected and thoroughly analyzed. The findings of this study reveal that Augmented, Virtual and Mixed Reality can be applied for several applications in manufacturing systems with different types of devices, that involve various advantages and disadvantages. The worker’s performance that are influencing by the use of these technologies are above all time to complete a task, error rate and mental and physical workload. Originality/value: Over the years Augmented, Virtual and Mixed Reality technologies in manufacturing systems have been investigated by researchers. Several studies mostly focused on technological issues, have been conducted. The role of the operator, whose tasks may be influenced positively or negatively by the use of new devices, has been hardly ever analyzed and a deep analysis of human performance affected by these technologies is missing. This study represents a preliminary analysis to fill this gap. The results obtained from the SLR allowed us to develop a conceptual framework that investigates the current state-of-the-art knowledge about the topic and highlights gaps in the current research.
Markov-Based Reliability Assessment for Hydraulic Design of Concrete Stormwater Pipes

AbstractThis study aims to assess the reliability of hydraulic performance of concrete pipes at the design stage. The reliability assessment is on the basis of the use of Markov chain theory for modeling pipe deterioration during service life and coefficient of variation (COV) for representing uncertainty in design, installation, and operational parameters. The results of a case study in this study show that increasing pipe diameter from 600 mm (as per current design) to 750 mm (as per reliability assessment) can significantly reduce the risk of hydraulic failure during service life and delay inspection and hydraulic rehabilitation by 10 years.
A comparison of default prediction models trained on different datasets: model-based clustering

This paper compares the models trained on the different mortgage markets of different states in the USA. We use the measured performance (AUC) to generate a similarity matrix and then generate clusters. We regard AUC as a similarity between two models and use t-SNE method combined with k-means to construct clusters and visualize them. There are two main findings. One is that the model of MA (Massachusetts) is relatively similar to the model of CA (California) not NY (New York) although MA is next to NY and far from CA. The other is that the crisis in 2008 makes the differences between the model of OK (Oklahoma) and the model of TX (Texas) more obvious.