Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Solution and Computation of Models with Occasionally Binding Constraints

Structural estimation of macroeconomic models and new HANK-type models with extremely high dimensionality require fast and robust methods to efficiently deal with occasionally binding constraints (OBCs). This paper proposes a novel algorithm that solves for the perfect foresight path of piecewise-linear dynamic models. In terms of computation speed, the method outperforms its competitors by more than three orders of magnitude. I develop a closed-form solution for the full trajectory given the expected duration of the constraint. This allows to quickly iterate and validate guesses on the expected duration until a perfect-foresight equilibrium is found. A toolbox, featuring an efficient implementation, a model parser and various econometric tools, is provided in the Python programming language. Benchmarking results show that for medium-scale models with an occasionally binding interest rate lower bound, more than 150,000 periods can be simulated per second. Even simulating large HANK-type models with almost 1000 endogenous variables requires only 0.2 milliseconds per period.
Teaching English to Linguistically Diverse Students from Migration Backgrounds: From Deficit Perspectives to Pockets of Possibility

This article reports on an interview study with six secondary school LX English teachers working in a part of Austria where there is an above-average number of residents–and thus also students–who are multilingual and come from migration backgrounds. It attempts to extend research on deficit perspectives of multilingual learners from migration backgrounds to the area of LX English learning and to provide insights into a language learning context that is underrepresented in international applied linguistics research, which has tended to focus on elite language learning. The article explores teachers’ perceptions of teaching English in this context. We hypothesized that teachers would hold negative beliefs about their students’ multilingual backgrounds and practices. The typological analysis of teachers’ interview data revealed that teachers did hold some dominant deficit perspectives about their students’ multilingualism and language learning; however, it also suggests that teachers are taking on the rudiments of a translanguaging stance that values multilingual practice. The article thus closes by considering how possibility perspectives can be harnessed and extended to foster students’ multilingual and multicultural development, with particular regard to LX English language learning.
Bibliometric Analysis of Solar Desalination Systems Powered by Solar Energy and CFD Modelled

Solar desalination is a sustainable approach to producing fresh water from saline water. Researchers have tried modifications to solar desalination systems to enhance the distillate output. This survey aims to recognize the characteristics of research work for investigating solar desalination systems. The essential terms to be focused on are computational fluid dynamics (CFD) and solar radiation consideration for the investigation. The data for this bibliometric study was taken from Scopus, with 1932 publications. The characteristics of the research work were analyzed by identifying the research publications, research subject areas, journals, most contributed countries, and data from the authors. The research trend was investigated utilizing yearly research growth, geographical contributions, source quality of publications, and participation of various institutions. VOSviewer software was used for network analysis of essential keywords used in relevant research works and to understand collaborations between the authors and co-authors. About 76% of the total publications belong to the document type articles. It illuminates research tendencies related to the topic under consideration. Results show that desalination research work concerned with CFD or solar radiation was mainly investigated in Engineering and Environmental Science, with their share of more than 50% of the total publications. Further study of relevant research works was assessed using network analysis that helped to link different keywords and authors’ collaborations. This survey helps to spot the increasing research trends and the necessity of further research.
Boron Neutron Capture Therapy (BNCT) Mediated by Maleimide-Functionalized Closo-Dodecaborate Albumin Conjugates (MID:BSA) for Oral Cancer: Biodistribution Studies and In Vivo BNCT in the Hamster Cheek Pouch Oral Cancer Model

Background: BNCT (Boron Neutron Capture Therapy) is a tumor-selective particle radiotherapy that combines preferential boron accumulation in tumors and neutron irradiation. Although p-boronophenylalanine (BPA) has been clinically used, new boron compounds are needed for the advancement of BNCT. Based on previous studies in colon tumor-bearing mice, in this study, we evaluated MID:BSA (maleimide-functionalized closo-dodecaborate conjugated to bovine serum albumin) biodistribution and MID:BSA/BNCT therapeutic effect on tumors and associated radiotoxicity in the hamster cheek pouch oral cancer model. Methods: Biodistribution studies were performed at 30 mg B/kg and 15 mg B/kg (12 h and 19 h post-administration). MID:BSA/BNCT (15 mg B/kg, 19 h) was performed at three different absorbed doses to precancerous tissue. Results: MID:BSA 30 mg B/kg protocol induced high BSA toxicity. MID:BSA 15 mg B/kg injected at a slow rate was well-tolerated and reached therapeutically useful boron concentration values in the tumor and tumor/normal tissue ratios. The 19 h protocol exhibited significantly lower boron concentration values in blood. MID:BSA/BNCT exhibited a significant tumor response vs. the control group with no significant radiotoxicity. Conclusions: MID:BSA/BNCT would be therapeutically useful to treat oral cancer. BSA toxicity is a consideration when injecting a compound conjugated to BSA and depends on the animal model studied.
Regular Exercise with Suicide Ideation, Suicide Plan and Suicide Attempt in University Students: Data from the Health Minds Survey 2018–2019

Background: Participating in exercise has been frequently recognized as a protective factor of suicide-related outcome (e.g., suicidal ideation) in children and adolescents, albeit with less of a focus on university/college students (especially using nationally representative sample). This study aimed to explore the associations between regular exercise with suicide ideation, plan, and suicide attempts using the data from Health Minds Survey (2018–2019 round). Methods: Using the cross-sectional data from a nationally representative sample (n = 62,026; mean age = 23.1 years) with self-reported information on exercise and the three suicide-related measures, binary logistic regression was used to estimate the associations of exercise with suicide ideation, plans, and attempts, respectively, while controlling for age, gender, being an international student or not, and race/ethnicity. Results: Compared with university students reporting five or more hours for exercise a week, those reporting less were more likely to report yes in terms of suicide ideation and a similar association was also observed in exercise and suicide plan. However, exercise was not significantly associated with suicide attempts. Conclusion: Spending more time exercising may be a protective factor against suicide ideation and plan for university students. Owing to the cross-sectional design nature, our research findings should be further investigated for confirmation or negation.
Compiling Open Datasets to Improve Urban Building Energy Models with Occupancy and Layout Data

Urban building energy modelling (UBEM) has great potential for assessing the energy performance of the existing building stock and exploring various actions targeting energy efficiency. However, the precision and completeness of UBEM models can be challenged due to the lack of available and reliable datasets related to building occupant and layout information. This study presents an approach that aims to augment UBEM with open-data sources. Data collected from open data sources are integrated into UBEM in three steps. Step (1) involves the generation of occupant profiles from census data collected from governmental institutions. Step (2) relates to the automated generation of building plan layouts by extracting data on building area and number of rooms from an online real-estate website. Results of Steps (1) and (2) are incorporated into Step (3) to generate residential units with layouts and corresponding occupant profiles. Finally, we make a comparative analysis between data-augmented and standard UBEM based on building energy use and occupant thermal comfort. The initial results point to the importance of detailed, precise energy models for reliable performance analysis of buildings at the urban scale.
Relationship between Edinburg Postnatal Depression Scale (EPDS) Scores in the Early Postpartum Period and Related Stress Coping Characteristics

Despite postpartum depression being a common mental health problem, there is no screening method for it. The only risk assessment used is the Edinburgh Postnatal Depression Scale (EPDS). We investigated the relationship between Brief Scale for Coping Profile (BSCP) subscales performed during pregnancy and EPDS scores. We recruited 353 women with normal pregnancies (160 primiparas, and 193 multiparas) and performed BSCP at 26 weeks of gestation. The EPDS was first performed within one week after delivery (T1), and then after one month (T2). Spearman’s correlation coefficients were calculated for the BSCP and EPDS for the whole and primi/multipara groups. Multiple regression analysis was performed with the EPDS T2 scores as the dependent variable. The EPDS scores were higher in the primipara group compared to the multipara (p < 0.001), and the EPDS T1 scores were higher than the overall T2 score (p < 0.001). In the multiple regression analysis, EPDS T1 and the “seeking help for solution” subscale were selected as significant explanatory variables when analyzed in the whole group; EPDS T1 and “active solution” for the primiparas; and EPDS T1, “changing mood”, and “seeking help for solution” for the multiparas. The BSCP can be used as a screening tool for postpartum depression during pregnancy.
Oxygen Saturation in Primary Teeth of Individuals With Sickle Cell Disease and Sickle Cell Trait

Purpose To determine oxygen saturation in the pulp of primary teeth in children with sickle cell disease (SCD) and sickle cell trait (SCT) for establishing the usefulness of pulse oximetry in screening and monitoring of SCD or therapy. Materials and Methods A cross-sectional study among 30–60 months children with sickle cell disease (SCD) and sickle cell trait (SCT) compared with healthy children (HbAA). A pulse oximeter (BCI 3301) recorded oxygen saturation on six anterior primary maxillary teeth and on index fingers. Data were analyzed using SPSS version 20.0. Mean oxygen saturation for teeth and fingers was calculated. Comparison of Mean across groups was done using post hoc analysis in one-way ANOVA (Bonferroni test). Pearson correlation coefficient was calculated for mean oxygen saturation on fingers and teeth. Level of significance was set at 0.05. Results Altogether 360, 102, and 96 teeth were examined from children with SCD, SCT, and HbAA respectively. 53% of participants were girls. The mean age of participants was 46.3 months ± 9.4 SD. Low mean oxygen saturation (77.5%) was recorded from teeth of children with SCD relative to those with SCT and HbAA (>86%; P = 0.00). There was no statistically significant difference in oxygen saturation on teeth between children with SCT and HbAA. The mean oxygen saturation on fingers was found to be above 97.2% regardless of sickle cell status. There was no correlation between oxygen saturation on teeth and fingers. Conclusion Pulse oximeter detected a lower oxygen saturation in dental pulp of primary teeth of participants with SCD (HbSS) relative to those with SCT (HbAS) and HbAA. Oxygen saturation on fingers remained unaffected regardless of sickle cell disease status. Although more studies are needed, our study shows that when other conditions affecting peripheral tissue oxygen delivery are ruled out, the low pulse oximetry in primary teeth may be indicative of SCD. The oximeter may also be useful in monitoring response to SCD therapy targeted at improving oxygen carrying capacity and delivery.
Personality Psychopathology and the Role of Self-Compassion

Previous research has examined the relationship between particular personality disorders (PDs) and self-compassion. However, the field has developed new methods for assessing and diagnosing personality psychopathology, and previous work has not extended to the Alternative Model for Personality Disorders (AMPD) of the DSM-5. The current study aimed to examine associations between self-compassion and personality psychopathology using an evidence-based assessment and diagnosis approach. The study used Neff’s Self-Compassion Scale (SCS) in addition to Criterion A (elements of personality functioning) and Criterion B (pathological traits) of the AMPD in order to observe associations between PDs and self-compassion. The results indicated that there were strong associations between identity and self-compassion, as well as that self-compassion and its components were moderately negatively associated with the majority of the AMPD personality traits. The findings can help to establish working treatment methods for individuals with PDs as well as provide support for the evidence-based hybrid dimensional-categorical model of personality assessment.
Effects of Metal and Fluoride Powders Deposition on Hot-Cracking Susceptibility of 316L Stainless Steel in TIG Welding

This study aims to investigate the effects on the hot cracking susceptibility of fluoride powders such as CaF2, NaF, LiF, and metal powders such as Mn, Ti, Nb and mixed Ti-Nb deposited on the 316L stainless steel during the TIG (Tungsten Inert Gas) welding process. A self-restraint hot cracking bench test using specimens of trapezoidal shape and 3 mm of thickness was selected. The obtained results of the weldability with the different powders were compared with those obtained with the conventional TIG parent-metal weld. The susceptibility to hot cracking was evaluated by the length of the crack and by the critical width at the end of the crack propagation. The formed cracks were first revealed by the liquid penetrant test, and then the surfaces of cracks were observed and analyzed by SEM-EDS-XRD tools. Among the powders tested, single Nb powder and the mixed flux of 80% Nb + 20% Ti exhibited the lowest crack length. The crack propagation ended at 22 mm of length and 30.8 mm of width. The analyses of the fracture surfaces of cracks revealed the presence of Niobium carbide (Nb2C), titanium, chromium, niobium oxide (TiO0.6Cr0.2Nb0.0202) complex compounds and cementite (Fe3C) at the interdendritic zones.
Neutrophil Extracellular Traps Promote NLRP3 Inflammasome Activation and Glomerular Endothelial Dysfunction in Diabetic Kidney Disease

Diabetes mellitus is a metabolic disease largely due to lifestyle and nutritional imbalance, resulting in insulin resistance, hyperglycemia and vascular complications. Diabetic kidney disease (DKD) is a major cause of end-stage renal failure contributing to morbidity and mortality worldwide. Therapeutic options to prevent or reverse DKD progression are limited. Endothelial and glomerular filtration barrier (GFB) dysfunction and sterile inflammation are associated with DKD. Neutrophil extracellular traps (NETs), originally identified as an innate immune mechanism to combat infection, have been implicated in sterile inflammatory responses in non-communicable diseases. However, the contribution of NETs in DKD remains unknown. Here, we show that biomarkers of NETs are increased in diabetic mice and diabetic patients and that these changes correlate with DKD severity. Mechanistically, NETs promote NLRP3 inflammasome activation and glomerular endothelial dysfunction under high glucose stress in vitro and in vivo. Inhibition of NETs (PAD4 inhibitor) ameliorate endothelial dysfunction and renal injury in DKD. Taken together, NET-induced sterile inflammation promotes diabetes-associated endothelial dysfunction, identifying a new pathomechanism contributing to DKD. Inhibition of NETs may be a promising therapeutic strategy in DKD.
A Novel Fault Diagnosis Method for Denoising Autoencoder Assisted by Digital Twin

Digital twin (DT) is an important method to realize intelligent manufacturing. Traditional data-based fault diagnosis methods such as fractional-order fault feature extraction methods require sufficient data to train a diagnosis model, which is unrealistic in a dynamically changing production process. The ultrahigh-fidelity DT model can generate fault state data similar to the actual system, providing a new paradigm for fault diagnosis. This paper proposes a novel digital twin-assisted fault diagnosis method for denoising autoencoder. First, in order to solve the problem of limited or unavailable fault state data for machines in dynamically variable production scenarios, a DT model of the machine is established. The model can simulate a dynamically changing production process, thereby generating data for different failure states. Second, a novel denoising autoencoder (NDAE) with Mish as the activation function is proposed and trained using the source domain data generated by DT. Finally, in order to verify the effectiveness and feasibility of the proposed method, the method is applied to a fault diagnosis example of a triplex pump, and the results show that the method can realize intelligent fault diagnosis when the fault state data are limited or unavailable.
Putting implementation into context: Exploring the influence of physical, social, and task contexts on the implementation of health promotion programs

The aim of this paper is to empirically examine the influence of organizational context on the implementation effectiveness of human resource management (HRM) practices with the aim of maintaining the health and well-being of employees, known as health promotion programs (HPPs). HPPs are a strategic function in HRM and play a crucial role in creating and maintaining human capital. Effective implementation is typically viewed as a critical prerequisite for the success of HPPs. By exploring the influence of organizational context on the implementation of HPPs, this paper offers a fresh approach to understanding HRM implementation in a relatively neglected area of research. To uncover contextual influences a multiple-case study in four German organizations operating in the chemical industry was conducted. Data was collected using a multi-method design consisting of an analysis of documents and 28 semi-structured interviews. The study is among the first to apply the categorical model of context by Johns to the investigation of the implementation of health promotion programs. The results contribute to a more nuanced view of HRM implementation by highlighting the interrelationships between contextual factors stemming from the physical, social, and task context and implementation fidelity. By providing initial empirical evidence of the mechanisms underlying this relationship, this study sheds light on the complexity and breadth of contextual influences during the implementation of HPPs and offers several theoretical and practical implications.
The Influence of Location along the Pseudostem on Enset Fiber Physio-Mechanical Properties: Application of Weibull Distribution Statistics

Enset bundle fibers were divided lengthwise into four sections from bottom to top and the sections’ physio-mechanical parameters were studied and compared. The four equal fiber sections from the bottom were 0–375 mm (EV-I), 375–750 mm (EV-II), 750 mm–1125 mm (EV-III), and 1125–1500 mm (EV-IV). The mass distribution, cross-sectional area, linear density, and diameter all decreased along the fiber sections from bottom to top. The CIE Lab-color values of each fiber section were also examined, and the L* value for EV-II fiber section was higher. In terms of mechanical properties, the Enset bundle fiber’s tensile strength and work of rupture were analyzed, and both increased by 25% from the lower fiber section to the second fiber section (EV-1 to EV-II) along the length before decreasing significantly at the top sections. The investigation indicated that a higher Weibull modulus and tensile strength characteristics for EV-II were recorded while a low Weibull modulus and low strength characteristics of the Enset bundle fiber section EV-IV were observed. The investigation of Weibull distribution variability in the EV-IV fiber location was also confirmed using one-way ANOVA. Overall, the present study investigates the impact of fiber position along the plant stem on the mechanical and physical properties of Enset bundle fibers which can be used as an input for the optimization of unidirectional composites.
Is Hospital Service Quality Relevant During COVID-19 Pandemic?

The study captures hospital service quality expectations during the COVID-19 crisis and compares the same before the onset of COVID-19. The study also highlights which dimensions of service quality attenuate during a medical crisis. The authors used a service quality measurement instrument based on SERVQUAL to capture service quality expectation from patients between June 2019 and May 2020. A sample of 700 was obtained (pre COVID-19 sample size 350 and during COVID-19 sample size 350). The data was analysed using partial least squares, structural equation modelling (PLS-SEM) and ANOVA. Service quality and its dimensions of assurance, empathy, reliability, responsiveness and tangibility remain relevant during COVID-19 pandemic, however, there is a drop in service quality expectation in India in all the five dimensions of service quality. Service quality expectations in tangibility dropped by 11.59%, reliability dropped by 8.82%, responsiveness dropped by 11.56%, assurance dropped by 9.82% and empathy dropped by 12.29%. From a practical standpoint, the study also identifies service quality dimensions that hospitals need to focus on during a crisis. In India, hospitals handling COVID-19 patients need to pay special heed to reliability and responsiveness to improve their service quality and better manage care during the pandemic situation.