Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Gaussian Processes for Calibration of Computer Models

Bayesian calibration of black-box computer models oﬀers an estab-lished framework for quantiﬁcation of uncertainty of model parameters and predictions. Traditional Bayesian calibration involves the emulation of the computer model and an additive model discrepancy term using Gaussian processes; inference is then carried out using Markov chain Monte Carlo. This calibration approach is limited by the poor scalability of Gaussian processes and by the need to specify a sensible covariance function to deal with the complexity of the computer model and the discrepancy. In this work, we propose a novel calibration framework, where these challenges are addressed by means of compositions of Gaussian processes into Deep Gaussian processes and scalable variational inference techniques. Thanks to this formulation, it is possible to obtain a ﬂexible calibration approach, which is easy to implement in development environments featuring automatic dif-ferentiation and exploiting GPU-type hardware. We show how our proposal yields a powerful alternative to the state-of-the-art by means of experimental validations on various calibration problems. We conclude the paper by showing how we can carry out adaptive experimental design, and by discussing the identiﬁability properties of the proposed calibration model.
Electropolymerised pH Insensitive Salicylic Acid Reference Systems: Utilization in a Novel pH Sensor for Food and Environmental Monitoring

This work summarizes the electrochemical response of a salicylic acid-based carbon electrode for use as a novel solid-state reference electrode in a redox-based pH sensor. This novel reference produces a pH insensitive response over a range of pH 3–10 in solutions with low buffer concentrations, different compositions, conductivities, and ionic strengths is produced. The pH of the local environment is shown to be determined by the chemistry and the electrochemical response of the redox active species on the surface of the electrode; the local pH can be controlled by the electropolymerized salicylic acid moieties due to the acid concentration on the surface, avoiding any perturbation in environmental pH and leading to a stable novel reference system. Sensitivities of −7.1 mV/pH unit, −2.4 mV/pH unit, −0.2 mV/pH unit, and 2.5 mV/pH units were obtained for different food medias, hydroponic solution, seawater, and cell-culture media, respectively, confirming its ability to control the local pH of the electrode. This reference system is paired with a new pH sensing element based on electropolymerized flavanone to provide a calibration free, pH sensitive sensor to effectively and accurately measure the pH of various media with high viscosity, low conductivity, low/high buffer concentration or cell-culture environment, presenting a maximum error of +/−0.03 pH units.
Privacy Regulation and Barriers to Public Health

The COVID-19 pandemic has killed millions and gravely disrupted the world’s economy. A safe and effective vaccine was developed remarkably swiftly, but as of yet, uptake of the vaccine has been slow. This paper explores one potential explanation of delayed adoption of the vaccine, which is data privacy concerns. We explore two contrasting regulations that vary across U.S. states that have the potential to affect the perceived privacy risk associated with receiving a COVID-19 vaccine. The first regulation—an “identification requirement”—increases privacy concerns by requiring individuals to verify residency with government approved documentation. The second regulation—“anonymity protection”—reduces privacy concerns by allowing individuals to remove personally identifying information from state-operated immunization registry systems. We investigate the effects of these privacy-reducing and privacy-protecting regulations on U.S. state-level COVID-19 vaccination rates. Using a panel data set, we find that identification requirements decrease vaccine demand but that this negative effect is offset when individuals are able to remove information from an immunization registry. Our results remain consistent when controlling for CDC-defined barriers to vaccination, levels of misinformation, vaccine incentives, and states’ phased distribution of vaccine supply. These findings yield significant theoretical and practical contributions for privacy policy and public health. This paper was accepted by David Simchi-Levi, information systems. Supplemental Material: Data and the e-companion are available at https://doi.org/10.1287/mnsc.2022. 4580 .
Insights from a Box–Behnken Optimization Study of Microemulsions with Salicylic Acid for Acne Therapy

The present study brings to attention a method to develop salicylic acid-based oil in water (O/W) microemulsions using a tensioactive system based on Tween 80, lecithin, and propylene glycol (PG), enriched with a vegetable oat oil phase and hyaluronic acid. The systems were physically characterized and the Quality by design approach was applied to optimize the attributes of microemulsions using Box–Behnken modeling, combined with response surface methodology. For this purpose, a 33 fractional factorial design was selected. The effect of independent variables namely X1: Tween 80/PG (%), X2: Lecithin (%), X3: Oil phase (%) was analyzed considering their impact upon the internal structure and evaluated parameters chosen as dependent factors: viscosity, mean droplet size, and work of adhesion. A high viscosity, a low droplet size, an adequate wettability—with a reduced mechanical work—and clarity were considered as desirable for the optimal systems. It was found that the optimal microemulsion which complied with the established conditions was based on: Tween 80/PG 40%, lecithin 0.3%, oat oil 2%, salicylic acid 0.5%, hyaluronic acid 1%, and water 56.2%. The response surface methodology was considered an appropriate tool to explain the impact of formulation factors on the physical properties of microemulsions, offering a complex pattern in the assessment of stability and quality attributes for the optimized formulation.
A Simple Out-of-Sample Test of Predictability against the Random Walk Benchmark

We show that a straightforward modification of a trading-based test for predictability displays interesting advantages over the Excess Profitability (EP) test proposed by Anatolyev and Gerco when testing the Driftless Random Walk Hypothesis. Our statistic is called the Straightforward Excess Profitability (SEP) test, and it avoids the calculation of a term that under the null of no predictability should be zero but in practice may be sizable. In addition, our test does not require the strong assumption of independence used to derive the EP test. We claim that dependence is the rule and not the exception. We show via Monte Carlo simulations that the SEP test outperforms the EP test in terms of size and power. Finally, we illustrate the use of our test in an empirical application within the context of the commodity-currencies literature.
Platinum-binding peptides: understanding of selective binding and multifunctionality

Platinum-binding (Pt-binding) peptides have been used for fabrication of complex platinum nanomaterials such as catalysts, metallopharmaceuticals, and electrodes. In this review, we present an understanding of the mechanisms behind Pt-binding peptides and their applications as multifunctional biomaterials. We discuss how the surface recognition, roles of individual amino acids, and arrangement of amino acid sequences interplay. Our summary on the current state of understanding of Pt-binding peptides highlights opportunities for interdisciplinary research which will expand the applicability of these multifunctional peptides.
Experiences of Persons Living Schizophrenia in Ghana

Living with a chronic condition such as schizophrenia comes with significant challenges. Yet, there is little data on the experiences of people living with schizophrenia in Ghana. This study explored the experiences of persons living with schizophrenia in the Cape Coast Metropolis of Ghana. The study adopted a descriptive phenomenological approach using purposive sampling technique to select nine (9) persons living with schizophrenia for the study. Data was collected using face-to-face in-depth interviews. Interviews were taped, transcribed verbatim, and analysed following Colaizzi’s (1978) descriptive phenomenological data analysis approach. The study revealed that people with schizophrenia maintained their Activities of Daily Living such as washing, sweeping, maintenance of personal and environmental hygiene, so long as they were in their lucid interval. Study participants valued supportive relationship with family members, mental health practitioners, religious institutions and the social networks. Participants reported stigma and lack of job opportunities as some of the major challenges they faced. Non adherence to medication and stigmatization were perceived as common cause of relapse by participants.
Teaching C++ programming using automated unit testing and test‐driven development—Design and efficacy study

The best practices of agile software development have had a significant positive impact on the quality of software and time‐to‐delivery. As a result, many leading software companies employ some form of agile software development practices. Some of the most important best practices of agile software development, which have received significant attention in recent years, are automated unit testing (AUT) and test‐driven development (TDD). Both of these practices work in conjunction to provide numerous benefits. AUT leads to reduced time to test, discover bugs, fix bugs, and implement new features; wider and measurable test coverage; reproducibility, reusability, consistency, and reliability of tests; improved accuracy, regression testing, parallel testing, faster feedback cycle, reduced cost, and higher team morale. The benefits of TDD include flexible and adaptive program design, cleaner interfaces, higher code quality, maintainability, extensibility, reliability, detailed evolving specification, reduced time on bug fixes and feature implementation, reliable refactoring, and code changes, reduced cost, reduced development time, and increased programmer productivity. Unfortunately, students in introductory programming courses are generally not introduced to AUT and TDD. This leads to the development of bad programming habits and practices which become harder to change later on. By introducing the students earlier to these industry‐standard best practices, not only the motivation and interest of students in this area can be increased but also their academic success and job marketability can be enhanced. This paper presents the detailed design and efficacy study of an introductory C++ programming course designed using the principles of AUT and TDD. The paper presents the pedagogical techniques employed to build industry‐proven agile software development practices in the students. As part of the paper, all the course material including the source code for the labs and the automated unit tests are being made available to encourage people to incorporate these best practices into their curricula.
The Effectiveness of Group Acceptance and Commitment Therapy and Cognitive Therapy on Alexithymia and Marital Boredom, Case study: Women Affected by Marital Infidelity in Mashhad, Iran

Introduction: The aim of current paper was to compare the effectiveness of acceptance and commitment group therapy (ACT) and group cognitive therapy (GCT) on Alexithymia and marital boredom (MB) among women affected by marital infidelity in Mashhad. Method: This clinical trial was a double- blind study with a pretest-posttest design in which two intervention groups and one control group were investigated. The study performed on women who realized their spouse infidelity and referred to Azad University Counseling Center in Mashhad in 2018. The sample consisted of 30 women who were selected by purposive sampling and were randomly assigned to two intervention groups and a control group (n=10 per group). The intervention groups were put under ACT training (twelve 90-minute sessions) and GCT training (twelve 90-minute sessions), but the control group did not receive any intervention. Data was obtained by the Toronto Alexithymia Scale-20 and Pines Marital Boredom Scale and was analyzed by multivariate analysis of covariance with SPSS (version 22) software. Results: The results showed a significant reduction in the mean score of MB in the ACT group, also there was a significant reduction in the mean score of Alexithymia in the GCT group (P <0.05). So comparing both therapies, ACT was more influential on reducing marital boredom whereas GCT was more effective on reducing alexithymia. Conclusion: Although both intervention methods were effective on Alexithymia and Marital Boredom in women affected by marital infidelity, it was demonstrated that ACT and GCT have more effect on Marital Boredom and Alexithymia, respectively.
Barriers to Career Advancement in the Hotel Industry in Timor-Leste: Study of Gender Stereotyping, Old Boys’ Network and Gender Differences

The hotel industry in Timor-Leste is female-dominated. However, women are under-represented in managerial and senior executive positions. This study examines the relative importance of gender stereotyping and old boys’ network variables as barriers that impact women’s and men’s career advancement in the hotel industry in Dili, Timor-Leste. A survey questionnaire was distributed at 20 hotels in Dili, Timor-Leste, and 16 hotels granted approval, represented by 385 individuals (226 women and 159 men). These data were analyzed using structural equation modeling. The results from this study indicated that gender stereotyping had a significant influence as a barrier to career advancement. Old boy’s network had no significant barrier to the career advancement for both in women versus men comparison. Furthermore, the male group scores higher than the female group in the variables of stereotyping in gender differences analysis as the higher scores represent the biases against women. This study is the first study to examine barriers for individuals’ career advancement in the hotel industry of Dili, Timor-Leste. This study suggests theoretical and practical implications on barriers for men’s and women’s career advancement and mitigates gender inequality in the organization.
Does litigation risk increase audit effort?

ABSTRACT We examine audit firms’ responses to increased legal liability. Using audit-effort data in China, we find audit firms increase audit effort when they are forced to switch from limited liability corporations (LLCs) to limited liability partnerships (LLPs). Audit fees also increase after the switch from LLCs to LLPs. Furthermore, we show the increase in audit effort is greater for clients that are in financial distress and for clients that report higher discretionary accruals. Overall, our study suggests audit firms respond to increased legal liability by increasing their audit effort, and the increase in audit effort is more pronounced for risky clients.
Instability of an autochemotactic active suspension

Abstract This study examines the effects of an evolving attractant field, due to the phenomenon of autochemotaxis, on the stability of a dilute suspension of active swimmers in a channel. Motile swimmers typically exhibit an orientation bias that is dependent upon the local gradient in the attractant field. By modelling the autochemotactic behaviour of the swimmers through a non-dimensional number $Da$ that characterizes the rate of attractant secretion, we are able to show that the active stress-driven instability predicted by Kasyap & Koch (Phys. Rev. Lett., vol. 108, issue 3, 2012, p. 038101) for a suspension of pushers is stabilized with increasing $Da$. We also show that the autochemotactic behaviour results in an active stress-driven flow instability for a suspension of pullers. Furthermore, we show analytically and numerically that in the absence of convective transport of the attractant, pushers and pullers undergo a simultaneous switch of stabilities at a critical $Da$.
Coping with the Impact of Systemic Racism, Inequity, School and Community Violence Among High School Students Who are Suspended or Expelled

Suspension and expulsion, or disciplinary exclusion, are applied when students are perceived as engaging in unsafe behaviours, for example: being disruptive or aggressive, possessing, using or trafficking a weapon, engaging in physical or sexual assault, committing robbery, threatening, possessing alcohol or drugs, swearing at authority or bullying (Gill, 2017; Government of Ontario, 2009; NSW Department of Education and Communities, 2011). Despite the violence and adversity inherent in these situations, very little attention has been paid to experiences of violence, trauma or adversity in the lives of students who are disciplinarily excluded (Crosby et al., 2018; Mallett, 2017;
Evaluation and design aspects of magnetic gears and magnetically geared electrical machines

Evaluation and Design Aspects of Magnetic Gears and Magnetically Geared Electrical Machines S. Gerber Department of Electrical and Electronic Engineering Faculty of Engineering Stellenbosch University Private Bag X1, 7602 Matieland, South Africa. Dissertation: PhD (Electrical Engineering) December 2015 In the past decade, magnetic gears and magnetically geared electrical machines have emerged as electromechanical devices with exceptionally high torque densities. Their distinct advantages such as low maintenance requirements and overload protection make these devices attractive for many applications. Although significant amount of research has been carried out in this fast-moving field, there are still many design related aspects that have not been thoroughly investigated. This study is concerned with the design optimization and performance evaluation of these devices. An efficient design optimization methodology, specifically aimed at magnetically geared machines (MGMs), is proposed. This design approach allows the components of these integrated machines to be appropriately matched. Challenges associated with the accurate modeling of these special machines, such as the prediction of the impact of end-effects and the high computational cost of simulating movement, are investigated. The proposed design methodology is successfully applied to the design of two different MGMs, of which one features a novel rotor structure. Prototypes based on the designs have been constructed and experimentally evaluated. There is generally a good correlation between the predicted and measured performance results. A method of analyzing the operating points of these machines is also presented. In addition to the two MGMs, a vernier machine, which is based on similar operating principles, is designed, constructed and experimentally evaluated. A detailed comparison of these machines with a more conventional direct-drive permanent magnet machine is conducted in order to assess their respective advantages and disadvantages. The comparison considers small machines with an active stack length of 50mm and an outer diameter of 140mm. In this fixed-volume comparison, it is found that the MGMs are superior in terms of their torque capability and efficiency. The vernier machine also has a good efficiency and produces the highest torque per volume of magnet material. Based on the merits of MGMs that are demonstrated in this study, further development of these machines is warranted. iii Stellenbosch University https://scholar.sun.ac.za
Type I IFN promotes pathogenic inflammatory monocyte maturation during H5N1 infection

Ly6Chi inflammatory monocytes show high IFN responses, and contribute to both protective and pathogenic functions following influenza virus infection. In order to understand the significance of IFN responses in this subset, we examined monocytes during infection with a lethal H5N1 virus that induces high levels of IFN and a low-pathogenicity H1N1 virus that induces low levels of IFN. We show that H5N1 infection results in early recruitment of high numbers of Ly6Chi monocytes and induction of chemokines and Ifnb1. Using unbiased transcriptomic and proteomic approaches, we also find that monocytes are significantly enriched during H5N1 infection and are associated with chemokine and IFN signatures in mice, and with severity of symptoms after influenza virus infection in humans. Recruited Ly6Chi monocytes subsequently become infected in the lung, produce IFN-β, and mature into FasL+ monocyte-derived cells (FasL+MCs) expressing dendritic cell markers. Both Ccr2-/- and Faslgld mice are protected from lethal infection, indicating that monocytes contribute to pathogenesis. Global loss of type I and type III IFN signaling in Stat2-/- mice results in loss of monocyte recruitment, likely reflecting a requirement for IFN-dependent chemokine induction. Here we show that IFN is not directly required for monocyte recruitment on an IFN-sufficient background, but is required for maturation to FasL+MCs. Loss of IFN signaling skews to a Ly6Clo phenotype associated with tissue repair, suggesting that IFN signaling in monocytes is a critical determinant of influenza virus pathogenesis.
Biorational Management of Stem borer, Chilo partellus in Maize

Field experiments were conducted to evaluate the bioefficay of botanical pesticides, entomogenous microbes, insect growth regulators and natural insecticides in the management of stem borer, Chilo partellus in maize. Foliar application of spinosad (0.002%) and emamectin benzoate (0.002%) significantly reduced damage of C. partellus and the bioefficacy of these natural pesticides were found to be on par with that of monocrotophos @ 0.05%. The marginal increase in maize grain yield was in the order of 38.66 and 31.93 per cent, respectively for the treatments spinosad (0.002%) and emamectin benzoate (0.002%) over untreated check.
OverFlap PCR – a reliable approach for generation of plasmid DNA libraries containing random sequences without template bias

Over the decades the improvement of naturally occurring proteins and creation of novel ones has been the primary goal for many practical biotechnology researchers and it is widely recognized that randomization of protein sequences coupled to various effect screening methodologies is one of the most powerful techniques for fast, efficient and purposeful approach for acquisition of desired improvements. Over the years considerable advancements have been made in this field, however development of PCR based or template guided methodologies has been hampered by the resulting template sequence bias. In this article we present novel whole plasmid amplification based approach, which we named OverFlap PCR, for randomization of virtually any region of the plasmid DNA, without introduction of mentioned bias.