Miracle-dz/UniFAR-FTUs huggingface dataset:
Complex Architectural Control of Ice-Templated Collagen Scaffolds Using a Predictive Model.

The architectural and physiomechanical properties of regenerative scaffolds have been shown to improve engineered tissue function at both a cellular and tissue level. The fabrication of regenerative three-dimensional scaffolds that precisely replicate the complex hierarchical structure of native tissue, however, remains a challenge. The aim of this work is therefore two-fold: i) demonstrate an innovative multidirectional freeze-casting system to afford precise architectural control of ice-templated collagen scaffolds; and ii) present a predictive simulation as an experimental design tool for bespoke scaffold architecture. We used embedded heat sources within the freeze-casting mold to manipulate the local thermal environment during solidification of ice-templated collagen scaffolds. The resultant scaffolds comprised complex and spatially varied lamellar orientations that correlated with the imposed thermal environment and could be readily controlled by varying the geometry and power of the heat sources. The complex macro-architecture did not interrupt the hierarchical features characteristic of ice-templated scaffolds, but pore orientation had a significant impact on the stiffness of resultant structures under compression. Furthermore, our finite element model (FEM) accurately predicted the thermal environment and illustrated the freezing front topography within the mold during solidification. The lamellar orientation of freeze-cast scaffolds was also predicted using thermal gradient vector direction immediately prior to phase change. In combination our FEM and bespoke freeze-casting system present an exciting opportunity for tailored architectural design of ice-templated regenerative scaffolds that mimic the complex hierarchical environment of the native extracellular matrix. STATEMENT OF SIGNIFICANCE: Biomimetic scaffold structure improves engineered tissue function, but the fabrication of three-dimensional scaffolds that precisely replicate the complex hierarchical structure of native tissue remains a challenge. Here, we leverage the robust relationship between thermal gradients and lamellar orientation of ice-templated collagen scaffolds to develop a multidirectional freeze-casting system with precise control of the thermal environment and consequently the complex lamellar structure of resultant scaffolds. Demonstrating the diversity of our approach, we identify heat source geometry and power as control parameters for complex lamellar orientations. We simultaneously present a finite element model (FEM) that describes the three-dimensional thermal environment during solidification and accurately predicts lamellar structure of resultant scaffolds. The model serves as a design tool for bespoke regenerative scaffolds.
A Phenomenological Investigation into Cyberbullying as Experienced by People Identifying as Transgender or Gender Diverse

Cyberbullying can present a serious risk for adolescents and young adults, with severe effects on victims including adverse mental health outcomes and increased risk of suicide. Transgender and gender diverse (TGD) individuals are significantly more likely to experience cyberbullying. However, little is presently known about the lived cyberbullying experiences of TGD adults despite the prevalence of cyberbullying experienced by the TGD community. TGD participants (n = 66, M = 24 years) were recruited through snowball sampling and completed an online questionnaire as part of a larger study, which included qualitative questions regarding cyberbullying. Participants reported that cyberbullying was experienced predominantly on social media sites and was largely anonymous. The content was often physically and sexually threatening and heavily transphobic. Additionally, some cyberbullying experienced by TGD individuals was perpetrated by other TGD individuals and focused on the identity policing and gatekeeping of TGD spaces. Participants reported cyberbullying evoked negative emotions, and they often responded by either arguing with or blocking the perpetrators, thereby demonstrating resilience. Some participants sought social support in response to cyberbullying, which acted as a protective factor. Findings reveal specific harms associated with cyberbullying as experienced by TGD individuals and highlight the need for further research and targeted support.
Immediate Hypersensitivity Reactions Induced by COVID-19 Vaccines: Current Trends, Potential Mechanisms and Prevention Strategies

As the world deals with the COVID-19 pandemic, vaccination remains vital to successfully end this crisis. However, COVID-19-vaccine-induced immediate hypersensitivity reactions presenting with potentially life-threatening systemic anaphylactic reactions are one of the reasons for vaccine hesitancy. Recent studies have suggested that different mechanisms, including IgE-mediated and non-IgE-mediated mast cell activation, may be involved in immediate hypersensitivity. The main culprits triggering hypersensitivity reactions have been suggested to be the excipients of vaccines, including polyethylene glycol and polysorbate 80. Patients with a history of allergic reactions to drugs, foods, or other vaccines may have an increased risk of hypersensitivity reactions to COVID-19 vaccines. Various strategies have been suggested to prevent hypersensitivity reactions, including performing skin tests or in vitro tests before vaccination, administering different vaccines for the primary and following boosters, changing the fractionated doses, or pretreating the anti-IgE antibody. This review discusses the current trends, potential mechanisms, and prevention strategies for COVID-19-vaccine-induced immediate hypersensitivity reactions.
On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty

In educational large-scale assessment studies such as PISA, item response theory (IRT) models are used to summarize students’ performance on cognitive test items across countries. In this article, the impact of the choice of the IRT model on the distribution parameters of countries (i.e., mean, standard deviation, percentiles) is investigated. Eleven different IRT models are compared using information criteria. Moreover, model uncertainty is quantified by estimating model error, which can be compared with the sampling error associated with the sampling of students. The PISA 2009 dataset for the cognitive domains mathematics, reading, and science is used as an example of the choice of the IRT model. It turned out that the three-parameter logistic IRT model with residual heterogeneity and a three-parameter IRT model with a quadratic effect of the ability θ provided the best model fit. Furthermore, model uncertainty was relatively small compared to sampling error regarding country means in most cases but was substantial for country standard deviations and percentiles. Consequently, it can be argued that model error should be included in the statistical inference of educational large-scale assessment studies.
Digital Language Learning (DLL): Insights from Behavior, Cognition, and the Brain

How can we leverage digital technologies to enhance language learning and bilingual representation? In this digital era, our theories and practices for the learning and teaching of second languages (L2) have lagged behind the pace of scientific advances and technological innovations. Here we outline the approach of digital language learning (DLL) for L2 acquisition and representation, and provide a theoretical synthesis and analytical framework regarding DLL ’ s current and future promises. Theoretically, DLL provides a forum for understanding differences between child language and adult L2 learning, and the effects of learning context and learner characteristics. Practically, findings from learner behaviors, cognitive and affective processing, and brain correlates can inform DLL-based language pedagogies. Because of its highly interdisciplinary nature, DLL can serve as an approach to integrate cognitive, social, affective, and neural dimensions of L2 learning with new and emerging technologies including VR, AI, and big data analytics.
Tyrosine-kinase inhibitors to treat radioiodine-refracted, metastatic, or recurred and progressive differentiated thyroid carcinoma

Differentiated thyroid carcinoma (DTC) is generally indolent in nature and, even though it metastasizes to distant organs, the prognosis is normally excellent. In contrast, the overall survival (OS) of patients with radioactive iodine (RAI)-refractory and progressive metastases is dire, because no effective therapies have been available to control the metastatic lesions. However, recently, administration of tyrosine-kinase inhibitors (TKIs) has become a new line of therapy for RAI-refractory and progressive metastases. Previous studies have reported significant improvement regarding the progression-free survival rates of patients with metastatic lesions. However, TKIs cause various severe adverse events (AEs) that damage patients’ quality of life and can even be life-threatening. Additionally, metastatic lesions may progress significantly after stopping TKI therapy. Therefore, it is difficult to determine who is a candidate for TKI therapy, as well as how and when physicians start and stop the therapy. The present review, created by Committee of pharmacological therapy for thyroid cancer of the Japanese Society of Thyroid Surgery (JSTS) and the Japan Association of Endocrine Surgeons (JAES) describes how to appropriately use TKIs by describing what we do and do not know about treatment using TKIs.
Iron (Fe) speciation in size-fractionated aerosol particles in the Pacific Ocean: The role of organic complexation of Fe with humic-like substances in controlling Fe solubility

Abstract. Atmospheric deposition is one of the main sources of dissolved iron (Fe) in the ocean surfaces. Atmospheric processes are recognized as controlling fractional Fe solubility (Fesol%) in marine aerosol particles. However, the impact of these processes on Fesol% remains unclear. One of the reasons for this is the lack of field observations focusing on the relationship between Fesol% and Fe species in marine aerosol particles. In particular, the effects of organic ligands on Fesol% have not been thoroughly investigated in observational studies. In this study, Fe species in size-fractionated aerosol particles in the Pacific Ocean were determined using X-ray absorption fine structure (XAFS) spectroscopy. The internal mixing states of Fe and organic carbon were investigated using scanning transmission X-ray microscopy (STXM). The effects of atmospheric processes on Fesol% in marine aerosol particles were investigated based on the speciation results. Iron in size-fractionated aerosol particles was mainly derived from mineral dust, regardless of aerosol diameter, because the enrichment factor of Fe was almost 1 in both coarse (PM>1.3) and fine aerosol particles (PM1.3). Approximately 80 % of the total Fe (insoluble + labile Fe) was present in PM>1.3, whereas labile Fe was mainly present in PM1.3. The Fesol% in PM>1.3 was not significantly increased (2.56±2.53 %, 0.00 %–8.50 %, n=20) by the atmospheric processes because mineral dust was not acidified beyond the buffer capacity of calcite. In contrast, mineral dust in PM1.3 was acidified beyond the buffer capacity of calcite. As a result, Fesol% in PM1.3 (0.202 %–64.7 %, n=10) was an order of magnitude higher than that in PM>1.3. The PM1.3 contained ferric organic complexes with humic-like substances (Fe(III)-HULIS, but not Fe-oxalate complexes), and the abundance correlated with Fesol%. Iron(III)-HULIS was formed during transport in the Pacific Ocean because Fe(III)-HULIS was not found in aerosol particles in Beijing and Japan. The pH estimations of mineral dust in PM1.3 established that Fe was solubilized by proton-promoted dissolution under highly acidic conditions (pH < 3.0), whereas Fe(III)-HULIS was stabilized under moderately acidic conditions (pH 3.0–6.0). Since the observed labile Fe concentration could not be reproduced by proton-promoted dissolution under moderately acidic conditions, the pH of mineral dust increased after proton-promoted dissolution. The cloud process in the marine atmosphere increases the mineral dust pH because the dust particles are covered with organic carbon and Na. The precipitation of ferrihydrite was suppressed by Fe(III)-HULIS owing to its high water solubility. Thus, the organic complexation of Fe with HULIS plays a significant role in the stabilization of Fe that was initially solubilized by proton-promoted dissolution.
Learning by Doing: Fostering Tourism Students' Soft Skills Through Interdisciplinarity and Collaboration

Having a strong affinity and interdependence with a wide range of sectors and industries, tourism is, by nature, an interdisciplinary field. However, despite this realization, there are still different barriers to the development of interdisciplinary research and active collaborative projects within Tourism Higher Education. In addition to these barriers, there is also a disarticulation between tourism curricula and what practitioners perceive as being key skills within the industry. Hence, as the context in which the tourist activity takes place becomes more competitive, resulting in a pressing need for skilled and multifaceted professionals, educational institutions and tourism educators are increasingly being challenged to overcome these barriers and come up with creative projects that can help bridge the gap between academia and the labour market. Aiming to describe an interdisciplinary project focusing on soft skills within different tourism subsectors, this paper will draw on a literature review, project outputs and two questionnaires, as to describe its implementation and overall results. Mostly based on students' perceptions and determining whether they are aligned with the industry's current demands and expectations, in addition to a general description, it will crosscut different perspectives, analysing the importance attributed to soft skills by students and prospective employers. Deriving from this analysis and the project's scope, the authors will also put forward a reflection regarding the impact of the project on not only student's perceptions regarding soft skills, but also on the affordances of the project to develop transversal competences, making a case for other innovative initiatives. As a result, the final section of the paper will include references to lessons learnt and future research directions.
NBER WORKING PAPER SERIES ARE THE EFFECTS OF ADOPTION AND TERMINATION OF SHELTER-IN-PLACE ORDERS SYMMETRIC? EVIDENCE FROM A NATURAL EXPERIMENT

Policymakers have explicitly linked sustained reductions in COVID-19 case growth to reopening policies, including the lifting of shelter-in-place orders (SIPOs). This “hardwired” policy endogeneity creates challenges in isolating the causal effect of lifting a statewide SIPO on COVID-19. To overcome simultaneity bias, we exploit a unique natural experiment generated by the Wisconsin Supreme Court when it abolished Wisconsin’s “Safer at Home” order on separation-of-powers grounds. We capitalize on this sudden, dramatic, and largely unanticipated termination of a statewide SIPO to estimate its effect on social distancing and COVID-19 case growth. First, using anonymized smartphone data from SafeGraph Inc. and a synthetic control design, we find that SIPO termination had little impact on social distancing. Then, using data on COVID-19 case and mortality rates, we find no evidence that the Wisconsin Supreme Court decision impacted COVID-19 growth up to a month following the repeal. We conclude that the impacts of SIPOs are likely not symmetric across enactment and lifting of orders, and this asymmetry sheds new light on the potential mechanisms underlying the effectiveness of these orders. Dhaval M. Dave Bentley University Department of Economics 175 Forest Street, AAC 195 Waltham, MA 02452-4705 and IZA and also NBER ddave@bentley.edu Andrew I. Friedson Department of Economics University of Colorado Denver Lawrence Street Center 460T Campus Box 181 P.O. Box 173364 Denver, CO 80217-3364 andrew.friedson@ucdenver.edu Kyutaro Matsuzawa Center for Health Economics and Policy Studies San Diego State University San Diego, CA qmatsuzawa@gmail.com Drew McNichols San Diego State University Center for Health Economics & Policy Studies 5500 Campanile Drive San Diego, CA 92182 dmcnichols@ucsd.edu Joseph J. Sabia San Diego State University Department of Economics Center for Health Economics & Policy Studies 5500 Campanile Drive San Diego, CA 92182 and IZA & ESSPRI jsabia@sdsu.edu
Impact of Energy Innovation on Greenhouse Gas Emissions: Moderation of Regional Integration and Social Inequality in Asian Economies

In order to reduce greenhouse gas (GHG) emissions and to achieve the Sustainable Development Goals (SDGs), Asian countries are trying to realize the potential of energy innovation. However, several structural issues might deter the expected impact of energy innovation on GHG emissions. Given the ecologically unsustainable economic growth trajectory of Asian countries, achieving the full potential of energy innovation is necessary, and therefore an efficient development and diffusion of these solutions requires a policy reorientation. Given the present situation of Asian countries in attaining SDG objectives, there is a void in the academic literature in terms of a policy framework, and there lies the contribution of the present study. This study aims to shed light on how regional integration and social inequality can moderate the desired environmental impact of energy innovation. Based on the outcomes of the study conducted on 24 Asian countries over the period 1990–2019, this study has recommended a multipronged SDG-oriented policy framework. This policy framework is developed by considering the internal and external structural issues with Asian countries, and, using a phase-wise policy implementation approach, a way to address the objectives of SDGs 7, 9, and 13 is discussed.
Centrifugal And Axial Flow Pumps Theory Design And Application

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Derandomization from time-space tradeoffs

A recurring challenge in the theory of pseudorandomness and circuit complexity is the explicit construction of "incompressible strings," i.e. finite objects which lack a specific type of structure or simplicity. In most cases, there is an associated NP search problem which we call the "compression problem," where we are given a candidate object and must either find a compressed/structured representation of it or determine that none exist. For a particular notion of compressibility, a natural question is whether an efficient algorithm for the compression problem would aide us in the construction of incompressible objects. Consider the following two instances of this question: 1. Does an efficient algorithm for circuit minimization imply efficient constructions of hard truth tables? 2. Does an efficient algorithm for factoring integers imply efficient constructions of large prime numbers? In this work, we connect these kinds of questions to the long-standing challenge of proving time-space tradeoffs for Turing machines, and proving stronger separations between the RAM and 1-tape computation models. In particular, one of our main theorems shows that modest time-space tradeoffs for deterministic exponential time, or separations between basic Turing machine memory models, would imply a positive answer to both (1) and (2). These results apply to the derandomization of a wider class of explicit construction problems, where we have some efficient compression scheme that encodes n-bit strings using < n bits, and we aim to construct an n-bit string which cannot be recovered from its encoding.
The effects of tacrolimus and mycophenolate mofetil on regression of encapsulating peritoneal sclerosis in a rat model

Objective: Encapsulating peritoneal sclerosis (EPS) is a rare, but potentially fatal complication of peritoneal dialysis. Currently, treatment of peritoneal fibrosis is not fully possible yet. In this study, we aimed to demonstrate the effects of tacrolimus therapy on peritoneal fibrosis and inflammation when administered alone or with mycophenolate mofetil (MMF) in the EPS model induced in rats. Methods: Thirty six Wistar albino rats were separated into six equal groups. Group I was the control group. Group II-VI were administered intraperitoneal chlorhexidine (CH) for induced EPS model in rats. Group II, IV, V, VI were administered isotonic liquid, tacrolimus, tacrolimus and concurrently with CH, tacrolimus and MMF together, respectively. Group III was not administered any drug. All peritoneal samples were stained with matrix metalloproteinase-2 (MMP-2) antibody. Thickness of peritoneal fibrosis, subserosal large collagen fibers, subserosal fibroblast proliferation and subserosal fibrotic matrix deposition were evaluated. Results: Comparing the experimentally induced EPS groups, the best histopathological results and the largest staining with MMP-2 were achieved in Group VI. Furthermore, in all treatment groups (IV, V, VI) more staining with MMP-2 was detected compared to non-treatment groups (I, II, III) but no statistically significant differences were found among all groups. A statistically significant remission was observed in all histopathological parameters, primarily peritoneal thickness in rats that were administered MMF with tacrolimus, compared to rats which were administered tacrolimus only. Conclusion: Concurrent use of tacrolimus and MMF in the treatment of EPS may be a promising approach.
Framing in Decision Making Investment at Indonesia Stock Exchange

: Investment decision making is rational because investors want the prospect of return with risk preferences through initial confidence determination by framing. The purpose of this study is to obtain empirical evidence of investor's mental accounting behavior in investment decisions with the use of framing in the Indonesia Stock Exchange (IDX). The research design is descriptive qualitative research. The information given is the investor who invests in the Indonesia Stock Exchange. The unit of analysis is individual investors and as members of the Indonesian Securities Investor Society (MISI). The units are analyzedindividual investors. Analyze data using content analysis. The results show investor behavior in investment allocation chooses neutral risk preference for utility maximization if described with a negative frame.Conversely, investor behavior will be different if done with a positive frame.This study provides new theoretical evidence into the behavior of investor decision making with a positive frame in Indonesia. The findings of this research will be useful for public go companies in providing publication and dissemination of information with good news signals in the Indonesian capital market.