Miracle-dz/UniFAR-FTUs huggingface dataset:
Mild Therapeutic Hypothermia Protects from Acute and Chronic Renal Ischemia-Reperfusion Injury in Mice by Mitigated Mitochondrial Dysfunction and Modulation of Local and Systemic Inflammation

Renal ischemia-reperfusion (IR) injury can lead to acute kidney injury, increasing the risk of developing chronic kidney disease. We hypothesized that mild therapeutic hypothermia (mTH), 34 °C, applied during ischemia could protect the function and structure of kidneys against IR injuries in mice. In vivo bilateral renal IR led to an increase in plasma urea and acute tubular necrosis at 24 h prevented by mTH. One month after unilateral IR, kidney atrophy and fibrosis were reduced by mTH. Evaluation of mitochondrial function showed that mTH protected against IR-mediated mitochondrial dysfunction at 24 h, by preserving CRC and OX-PHOS. mTH completely abrogated the IR increase of plasmatic IL-6 and IL-10 at 24 h. Acute tissue inflammation was decreased by mTH (IL-6 and IL1-β) in as little as 2 h. Concomitantly, mTH increased TNF-α expression at 24 h. One month after IR, mTH increased TNF-α mRNA expression, and it decreased TGF-β mRNA expression. We showed that mTH alleviates renal dysfunction and damage through a preservation of mitochondrial function and a modulated systemic and local inflammatory response at the acute phase (2–24 h). The protective effect of mTH is maintained in the long term (1 month), as it diminished renal atrophy and fibrosis, and mitigated chronic renal inflammation.
Investigation of education value perception scale's psychometric properties according to CTT and IRT

The purpose of this study is to develop Education Value Perception Scale (EVPS) based on Bronfenbrenner's Ecological Theory and to investigate its psychometric properties according to Classical Test Theory (CTT) and Item Response Theory (IRT). The data were collected from 2872 secondary school students by stratified purposeful sampling method. Measurement invariance of EVPS was tested by multigroup confirmatory factor analysis based on gender, and scalar invariance was observed to have been provided. The estimations based on IRT were conducted based on Graded Response Model. While high positive correlations were found between the item discriminations estimated according to different test theories, high negative correlations were identified between item means. McDonald’s Omega was calculated to be . 79 according to CTT from reliability estimation methods, marginal reliability coefficient was determined to be . 77 according to IRT. In the test-retest applications performed at 20-day intervals, the stability coefficient was found to be.81.
Broadband MET Hydrophone

Summary An electrochemical hydrophone based on the principles of molecular electronic transfer (MET) was described. The work presents experimental results for the sensitivity, frequency response and intrinsic noise level. It has been demonstrated the experimental device has 0.8 mV/Pa sensitivity in the frequency band 0.02–200 Hz and low frequency self-noise close to Wenz model. Easy to fabricate, cheap and suitable for mass production the MET Hydrophone could be in demand in marine and tranzient zone seismic survey.
Improved patch-based NLM PolSAR speckle filter based on iteratively re-weighted least squares method

The non-local means filters are popular and effective in speckle filtering as well as preservation of subtle details but have certain limitations. The limitation of NLM filter is its biased estimation in case of excessive speckle noise. Also, the similarity measure which preserves polarimetric or scattering property of data is the matter of interest in recent works. In this paper, a speckle filtering technique is presented which apart from reducing speckle noise, preserves polarimetric property, fine structures of the polarimetric SAR data and leads to an unbiased estimation in excessive noise. The filtering method adjusts weights iteratively, such that norm of distances is minimized. The proposed method is validated over two real PolSAR datasets (captured over San Fransisco Bay, USA & Mumbai coastal area, India by RADARSAT-2) and a synthesized SAR image. The qualitative and quantitative performance analysis is presented for the proposed method in terms of visual appearance of span, RGB PolSAR images, ENL and B-index. The proposed method is also evaluated for PSNR and SSIM on synthesized SAR image. It is found that the proposed method performs better than NLM filter and can be considered as a good alternative to NLM filters.
Numerical analysis of seepage field of bucket foundations for offshore wind turbines

ABSTRACT As an alternative supporting structure for wind turbines, bucket foundations (BF) have been widely applied to offshore wind farm projects. Considering the importance of installation phase which is supposed to be stable in design, detailed analysis should be conducted for each new site. The penetration (installation) process is closely related to the seepage flow forming around the bucket foundation and the seepage problems of the composite bucket foundation with multiple subdivisions (CMBF) is seldomly studied including the seepage differences between BF and CMBF. In this paper, based on the three-dimensional heat conduction law, numerical simulations are conducted for BF and CMBF from the dimensional effect and various working conditions perspectives. The results indicate that the seepage distribution patterns are different for the multiple subdivisions; higher tilt angle and smaller length-diameter-ratio lead to bigger hydraulic gradient; and the diameter of mid-compartment has a slight impact on the BFs compared with the length-diameter-ratios.
Digital Management: Revalidation of E-Psychological Instrument for Flood Victims Version-II

Measuring the psychopathology symptoms among flood victims is an important step for intervention and treatment. However, there is a gap of a valid, reliable and an efficient instrument to measure flood victims' mental distress in Malaysia. This study aims to revalidate e-Psychological Instrument for Flood Victims Version II (e-PIFV-II) by using expert judgment method to prove content-related evidence. The e-PIFV-II is a digital self-report inventory that has 56 items with 4 dimension scales namely stress, anxiety, depression and trauma. Two studies have been done to revalidate the instrument. Results showed that there were very strong content coefficient validity for each subscale of the instrument. In study II the coefficient values for stress and trauma subscale of the e-PIFV-II were increased. The coefficient value of stress was 0.8-0.9, anxiety was 0.9, depression was 1.0, trauma was 0.9-1 and overall was 0.9. This study supports the theoretical framework and provides practical implication in the field of digital flood victims management, psychological testing and clinical psychology.
Failure mode and effects analysis by integrating Bayesian fuzzy assessment number and extended gray relational analysis‐technique for order preference by similarity to ideal solution method

Failure mode and effects analysis (FMEA) is a prospective risk assessment tool used to identify, assess, and eliminate potential failure modes (FMs) in various industries to improve security and reliability. However, the traditional FMEA method has been criticized for several shortcomings and even the improved FMEA methods based on predefined linguistic terms cannot meet the needs of FMEA team members' diversified opinion expressions. To solve these problems, a novel FMEA method is proposed by integrating Bayesian fuzzy assessment number (BFAN) and extended gray relational analysis‐technique for order preference by similarity to ideal solution (GRA‐TOPSIS) method. First, the BFANs are used to flexibly describe the risk evaluation results of the identified failure modes. Second, the Hausdorff distance between BFANs is calculated by using the probability density function (PDF). Finally, on the basis of the distance, the extended GRA‐TOPSIS method is applied to prioritize failure modes. A simulation study is presented to verify the effectiveness of the proposed approach in dealing with vague concepts and show its advantages over existing FMEA methods. Furthermore, a real case concerning the risk evaluation of aero‐engine turbine and compressor blades is provided to illustrate the practical application of the proposed method and particularly show the potential of using the BFANs in capturing FMEA team members' diverse opinions.
Religious Transitions, Sexual Minority Status, and Depressive Symptoms from Adolescence to Early Adulthood

Given that sexual minorities have been historically stigmatized within institutions of religion, they may be less likely to exhibit any health benefits from religious participation. In this article, we use data from Waves I and IV of the National Longitudinal Study of Adolescent to Adult Health to test whether the effects of religious affiliation (becoming affiliated with a religious group) and disaffiliation (no longer affiliating with a religious group) on depressive symptoms are moderated by sexual minority status from adolescence to early adulthood. In regression models adjusted for selection effects, we observed that, compared to respondents who were consistently unaffiliated, becoming affiliated was associated with more depressive symptoms from baseline to follow-up among lesbian, gay, and bisexual respondents, but not among heterosexual respondents. We conclude with the implications of our results as they relate to understanding the health impacts of marginalized groups in social institutions and the importance of selection effects.
Models for supplier selection and risk mitigation: a holistic approach

According to a study conducted by PwC and the Business Continuity Institute in 2013, 75% of companies experience at least one major supply chain disruption a year and majority of the disruptions were caused by supply-related problems. With an increasing emphasis on upstream risk, risk management in supplier selection has become a critical issue faced by companies. Although previous studies proposed different methods and tools for effective and efficient supplier selection, only few approaches have attempted to incorporate risk mitigation strategies in supplier selection decisions. Our study aims to fill this gap by considering a wide range of quantitative and qualitative risk factors in supplier selection and evaluates the efficacy of alternative risk mitigation strategies in this context. Moreover, we suggest that both upstream and downstream strategies should be utilised simultaneously rather than relying on a single type of strategy. We further suggest that it is critical to align upstream and downstream risk mitigation strategies to reduce risk. We employ multi-objective optimization-based simulation in developing a decision model and consider data from an automotive parts manufacturer to demonstrate the application of our approach.
Synthesis and Characterisation of Co-Fe-W-P Thin Films Electrodeposited Under Phosphorous Acid and Urea Electrolyte Solution

Cobalt, iron, and tungsten-primarily based (Co-Fe-W) thin films and their by-product thin films have vast applications in microelectronics and micro-electro-mechanical systems due to their superior smooth magnetic residences. With the blessings of simplicity, cost-effectiveness, and controllable patterning, electroplating approaches have been hired for CoFeW thin films fabrication. The electrodeposition of CoFeW and phosphorus-enabled CoFeW thin films were completed from the phosphorus solvent bath without components specifically urea. The results of bath, electrolyte attention, applied current density, and solution agitation on deposition charge has been studied. Thin films composition, morphology, crystallographic structure as well as magnetic moment, and coercivity have been characterized and as compared in opposition to the deposition conditions such as with and without components and deposition current densities. An accelerated awareness of the bath solution results in significantly quicker deposition and promotes clean thin films increase with confined cracking. As-deposited CoFeWP alloy films are observed to be ferromagnetic and nanocrystalline. In our observations, we located that electrolyte situations and carried out cutting-edge values affect the magnetism and susceptibility of thin films. Copper substrates had been used as templates for magnetic thin films. X-ray diffraction studies were conducted to research the structural traits of thin films. The crystal size and structure of the electrodeposited magnetic thin films fluctuate slightly primarily based on the composition ratio described inside the literature. As a result of assessment with thin films, their magnetic susceptibility shifted in the direction of the lower facet with increasing electrolyte concentration and current density value.
Colour Terms, Syntax and Bayes Modelling Acquisition and Evolution

This thesis investigates language acquisition and evolution, using the methodologies of Bayesian inference and expression-induction modelling, making specific reference to colour term typology, and syntactic acquisition. In order to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic colour term systems are produced by a process of cultural evolution under the influence of universal aspects of human neurophysiology, an expression-induction model was created. Ten artificial people were simulated, each of which was a computational agent. These people could learn colour term denotations by generalizing from examples using Bayesian inference, and the resulting denotations had the prototype properties characteristic of basic colour terms. Conversations between these people, in which they learned from one-another, were simulated over several generations, and the languages emerging at the end of each simulation were investigated. The proportion of colour terms of each type correlated closely with the equivalent frequencies found in the World Colour Survey, and most of the emergent languages could be placed on one of the evolutionary trajectories proposed by Kay and Maffi (1999). The simulation therefore demonstrates how typological patterns can emerge as a result of learning biases acting over a period of time. Further work applied the minimum description length form of Bayesian inference to modelling syntactic acquisition. The particular problem investigated was the acquisition of the dative alternation in English. This alternation presents a learnability paradox, because only some verbs alternate, but children typically do not receive reliable evidence indicating which verbs do not participate in the alternation (Pinker, 1989). The model presented in this thesis took note of the frequency with which each verb occurred in each subcategorization, and so was able to infer which subcategorizations were conspicuously absent, and so presumably ungrammatical. Crucially, it also incorporated a measure of grammar complexity, and a preference for simpler grammars, so that more general grammars would be learned unless there was sufficient evidence to support the incorporation of some restriction. The model was able to learn the correct subcategorizations for both alternating and non-alternating verbs, and could generalise to allow novel verbs to appear in both constructions. When less data was observed, it also overgeneralized the alternation, which is a behaviour characteristic of children when they are learning verb subcategorizations. These results demonstrate that the dative alternation is learnable, and therefore that universal grammar may not be necessary to account for syntactic acquisition. Overall, these results suggest that the forms of languages may be determined to a much greater extent by learning, and by cumulative historical changes, than would be expected if the universal grammar hypothesis were correct.
Inequalities for functionals generated by bipartite graphs

In the present work, we prove some inequalities for integrals of products of two-variable functions. The functions which form the product are identical but have different pairs of arguments. The diagram of the product is a graph whose edges correspond to the functions and vertices correspond to the variables. The obtained inequalities have applications in graph theory.
Influence of Lonicera japonica and Radix Puerariae Crude Extracts on the Fecal Microbiome and Nutrient Apparent Digestibility of Finishing Pigs

Simple Summary This study evaluated the effects of Lonicera japonica and Radix Puerariae crude extracts as feed additives on finishing pigs. The results indicated diets supplemented with L. japonica and Radix Puerariae crude extracts improved growth performance, abundance of beneficial bacteria in feces, and digestibility of crude protein and total phosphorus in finishing pigs. These results suggest that Lonicera japonica and Radix Puerariae crude extracts could be a good feed additives for finishing pigs feeding. Abstract This study aims to investigate the influence of adding Lonicera japonica (L. japonica) and Radix Puerariae crude extracts and their mixture to the diet of finishing pigs on their fecal microbes and nutrient apparent digestibility. A total of 72 healthy Duroc × Landrace × Yorkshire crossbred barrows without significant differences in body weight (93 ± 2 kg) were selected and randomly divided into four groups (18 in each group). Three replicate pens per group (six pigs per pen) were used, and two pigs were evaluated for each pen. The groups were fed the following diets: control group (CON), basic diet; chlorogenic acid group (CGA group), basic diet + 1 kg/ton L. japonica crude extract; Pueraria flavonoid group (PF group), basic diet + 1 kg/ton Radix Puerariae crude extract; and mix group (Mix group), basic diet + 0.5 kg/ton L. japonica crude extract + 0.5 kg/ton Radix Puerariae crude extract. The following results were obtained: (1) At the phylum level, Bacteroidetes, Firmicutes, Spirochaetes, Proteobacteria, Fibrobaeteres, and Kiritimatiellaeota were the main components of the fecal microbiota (top 5); the relative abundance of bacteria from phyla Firmicutes significantly increased in the Mix group than in the CON group (p < 0.05). At the genus level, Treponema_2, Rikenellaceae_RC9_gut_group, uncultured_bacterium_f_Lachnospiraceae, uncultured_bacterium_f_Prevotellaceae, and Prevotellaceae_NK3B31_group were the main components of the fecal microbiota (top 5); the relative abundance of bacteria from genus Lactobacillus significantly increased in the Mix group than in the CON group (p < 0.05). Chao1 and Ace counts were significantly higher in group CGA than in the CON group and group Mix (p < 0.05). The alpha and beta diversities and the relative abundance of fecal microbes were higher in all test groups than in the CON group. (2) The protein digestibility was significantly higher in the CGA and PF groups than in the CON group, and the TP digestibility was significantly higher in the CGA than in the CON and Mix groups (p < 0.05). In conclusion, Lonicera japonica and Radix Puerariae crude extract supplementation in the diet significantly changed fecal microbiota and improved the protein and TP digestibility of finishing pigs.
Uncertainty, Stock Prices, and Debt Structure: Evidence from the U.S.-China Trade War

Using the recent U.S.-China trade war as a laboratory, we show that policy uncertainty shocks have a significant impact on stock prices. This impact is less negative for firms that heavily rely on bank debt whereas non-bank debt does not have a mitigating effect. Moreover, the mitigating effect of bank debt is concentrated among zombie firms. A zombie firm that derives half of its capital from bank debt has no negative stock price reaction to increased uncertainty. These results are consistent with bank debt providing insurance for zombie firms in bad economic times. Our results are robust to controlling various ﬁrm-level characteristics that have been shown to aﬀect the responsiveness of stock prices to macroeconomic shocks, including Tobin’s Q, ﬁrm size, balance sheet liquidity, along with ﬁrm and industry-date ﬁxed eﬀects. We further show that our results are not driven by changes in ﬁrms’ debt structure in anticipation of a trade war, using the ﬁrm-level debt structure before Donald Trump’s presidency as an instrument. Additionally, our results remain consistent when we restrict our sample to ﬁrms with a zero revenue share from China, suggesting that the revenue exposure to China does not explain our results. Our ﬁndings also cannot be explained by the diﬀerential usage of bank debt and non-bank debt between the zombie and non-zombie ﬁrms because the two groups’ utilization of both types of debt turn out to be similar. Finally, we show that our results are robust after creating matched samples of zombie and non-zombie ﬁrms based on their ﬁrm-level characteristics.
The Modification of Offspring Stress-Related Behavior and the Expression of Drd1, Drd2, and Nr3c1 by a Western-Pattern Diet in Mus Musculus

The impact of early developmental experience on neurobiological pathways that may contribute to the association between diet and behavior have not yet been elucidated. The focus of the current study was to determine whether the impact of prenatal stress (PS) could be mitigated by a diet that stimulates the same neuroendocrine systems influenced by early stress, using a mouse model. Behavioral and genetic approaches were used to assess how a Western-pattern diet (WPD) interacts with PS and sex to impact the expression of anxiety-like behavior in an open-field arena, as well as the expression of the glucocorticoid receptor in the hippocampus, D1 dopamine receptors in the nucleus accumbens, and D2 dopamine receptors in the ventral tegmental area. Overall, the results demonstrated that a prenatal WPD mitigates the effects of maternal stress in dams and offspring. These results help to elucidate the relationship between pre- and post-natal nutrition, gene expression, and behaviors that lead to long-term health effects.
Emission of volatile organic compounds from heat-treated Scots pine wood as affected by wood drying method: Results obtained with olfactory machine and headspace gas chromatography-mass spectrometry

Abstract Due to the use of heat-treated wood products like ThermoWood®, even for indoor applications, the type and amount of volatile organic compounds (VOCs) emitted from the products are essential for indoor air quality and human health. The drying method of wood applied as the first step in the ThermoWood® production process may influence this property. In this study, the effects of radiofrequency/vacuum (RF/V) drying technology in comparison with conventional kiln drying at a mild and normal temperature on the emission of VOCs from Scots pine ThermoWood® were investigated using Headspace Gas Chromatography-Mass spectrometry (HS-GC-MS) and olfactory system (electronic nose). An olfactory machine consisting of 6 metal oxide semiconductors (MOS) sensors were used for this purpose. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were applied to classify and analyze the data of olfactory signals. Results showed that emission of VOCs was higher in the samples dried by RF/V technology and was mainly consisted of terpenes, aldehydes, and alcohols. Acids were identified as the main VOCs in the ThermoWood® produced from RF/V dried wood. The emission of some VOCs, such as terpenes, was reduced after thermal modification. Overall, it can be concluded that the type and the amount of VOCs of ThermoWood® are influenced by the drying method of wood applied before starting the thermal modification.