bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ethanol dehydration performance of three types of commercial‐grade zeolite permselective membranes
Authors: Vane Leland , Alvarez Franklin , Namboodiri Vasudevan , Abar Michael 
Published: May 2022

AbstractBACKGROUNDMany organic solvents form difficult‐to‐separate mixtures with water and have an affinity for water, making drying a potential reuse prerequisite. Pervaporation (PV) and vapor permeation (VP) membrane technologies hold promise for energy‐efficient solvent drying. Several water‐selective membrane materials are commercially available, but performance data is limited, particularly for two recently commercialized membrane materials: chabazite (CHA) and T‐type zeolites. In this work, commercial‐grade samples of CHA and T‐type membranes, along with a NaA zeolite membrane, were evaluated for the removal of water from ethanol.RESULTSThe CHA sample had the highest initial PV water permeance (6820 GPU) and water permselectivity (3430) with 5 wt% water in ethanol at 50 °C. Initial NaA membrane performance was slightly lower (6060 GPU and 3260), while the T‐type membrane had the lowest initial permeance and selectivity (4260 GPU and 1090). Performance declined over time, most notably for the NaA membrane, for which water permeance fell over 50% through 39 days of testing. The T‐type membrane exhibited the steadiest PV water permeance, but the most variable ethanol permeance.CONCLUSIONThe PV performance of the three membranes largely overlapped the predicted range for T‐type membranes. That performance generally exceeds the anticipated ethanol drying performance of non‐zeolitic PV membranes but is less than that predicted for NaA and CHA membranes. The present CHA membrane results, along with other recent reports, refine earlier predictions of the ethanol dehydration performance of that type of zeolite. The changing performance with time should be understood to properly design a solvent dehydration system. © 2022 Society of Chemical Industry (SCI). This article has been contributed to by US Government employees and their work is in the public domain in the USA.
The impact of obesity‐related neuroinflammation on postpartum depression: A narrative review
Authors: da Cruz Kenia Lourdes de Oliveira , Salla Daniele Hendler , de Oliveira Mariana Pacheco , da Silva Larissa Espindola , Dela Vedova Larissa Marques , Mendes Talita Farias , Bressan Catarina Barbosa Chaves , Costa Ana Beatriz , da Silva Mariella Reinol , Réus Gislaine Zilli , de Mello Aline Haas , Rezin Gislaine Tezza 
Published: May 2022

AbstractObesity is currently one of the most serious health problems, affecting 13% of the world's adult population. Obesity is characterized by persistent low‐grade chronic inflammation that assumes systemic proportions and triggers several associated metabolic diseases. Furthermore, obesity has been associated with an increased occurrence of central disorders such as impaired cognitive function, reward system dysfunction, and depression. In summary, there is a quantitative reduction in the release of neurotransmitters in depression. Postsynaptic cells capture lower concentrations of neurotransmitters, which leads to a functional reduction in the central nervous system (CNS). Globally, approximately 15–65% of women experience depressive symptoms during pregnancy, depending on their location. Depressive symptoms persist in some women, leading to postpartum depression (PPD). Thus, obesity may be considered a risk factor for PPD development. This study aimed to synthesize studies on the impact of obesity‐related neuroinflammation and PPD. We conducted a narrative review of the relevant literature. The search was performed in electronic databases, specifically PubMed, selecting articles in English published from 2014 to 2021 using the narrative review methodology.
Epithelial to mesenchymal transition influences fibroblast phenotype in colorectal cancer by altering miR‐200 levels in extracellular vesicles
Authors: Bhome Rahul , Emaduddin Muhammad , James Victoria , House Louise M. , Thirdborough Stephen M. , Mellone Massimiliano , Tulkens Joeri , Primrose John N. , Thomas Gareth J. , De Wever Olivier , Mirnezami Alex H. , Sayan A. Emre 
Published: May 2022

AbstractColorectal cancer (CRC) with a mesenchymal gene expression signature has the greatest propensity for distant metastasis and is characterised by the accumulation of cancer‐associated fibroblasts in the stroma. We investigated whether the epithelial to mesenchymal transition status of CRC cells influences fibroblast phenotype, with a focus on the transfer of extracellular vesicles (EVs), as a controlled means of cell–cell communication. Epithelial CRC EVs suppressed TGF‐β‐driven myofibroblast differentiation, whereas mesenchymal CRC EVs did not. This was driven by miR‐200 (miR‐200a/b/c, ‐141), which was enriched in epithelial CRC EVs and transferred to recipient fibroblasts. Ectopic miR‐200 expression or ZEB1 knockdown, in fibroblasts, similarly suppressed myofibroblast differentiation. Supporting these findings, there was a strong negative correlation between miR‐200 and myofibroblastic markers in a cohort of CRC patients in the TCGA dataset. This was replicated in mice, by co‐injecting epithelial or mesenchymal CRC cells with fibroblasts and analysing stromal markers of myofibroblastic phenotype. Fibroblasts from epithelial tumours contained more miR‐200 and expressed less ACTA2 and FN1 than those from mesenchymal tumours. As such, these data provide a new mechanism for the development of fibroblast heterogeneity in CRC, through EV‐mediated transfer of miRNAs, and provide an explanation as to why CRC tumours with greater metastatic potential are CAF rich.
Suppression of TGF‐β/Smad2 signaling by GW788388 enhances DENV‐2 clearance in macrophages
Authors: Teixeira Gabrielly Sbano , Andrade Audrien Alves , Torres Lauana Ribas , Couto‐Lima Dinair , Moreira Otacilio C. , Abreu Rayane , Waghabi Mariana Caldas , de Souza Elen Mello 
Published: May 2022

AbstractDengue fever, caused by the dengue virus (DENV‐1, −2, −3, and −4), affects millions of people in the tropical and subtropical regions worldwide. Severe dengue is correlated with high viraemia and cytokine storm, such as high levels of transforming growth factor‐β1 (TGF‐β1) in the patient's serum. Here, the TGF‐β1 signaling was investigated in the context of in vitro viral clearance. Macrophages were infected with DENV‐2 at MOI 5 and treated with the TGF‐β receptor 1 and 2 inhibitor, GW788388. TGF‐β1 expression, signal transduction and viral load were evaluated 48 h after DENV‐2 infection by enzyme‐linked immunoassay, immunofluorescence, and RT‐qPCR assays. Total TGF‐β1 level was reduced in 15% after DENV‐2 infection, but the secretion of its biologically active form increased threefold during infection, which was followed by the phosphorylation of Smad2 protein. Phosphorylation of Smad2 was reduced by treatment with GW788388 and it was correlated with reduced cytokine production. Importantly, treatment led to a dose‐dependent reduction in viral load, ranging from 6.6 × 105 RNA copies/ml in untreated cultures to 2.3 × 103 RNA copies/ml in cultures treated with 2 ng/ml of GW788388. The anti‐TGF‐β1 antibody treatment also induced a significant reduction in viral load to 1.6 × 103 RNA copies/ml. On the other hand, the addition of recombinant TGF‐β1 in infected cultures promoted an increase in viral load to 7.0 × 106 RNA copies/ml. These results support that TGF‐β1 plays a significant role in DENV‐2 replication into macrophages and suggest that targeting TGF‐β1 may represent an alternative therapeutic strategy to be explored in dengue infection.
Performance assessment of Coupled Model Intercomparison Project Phase 5 models in tropical South America using TOPSIS‐based method
Authors: da Silva Maria Leidinice , de Oliveira Cristiano Prestrelo , de Araújo João Medeiros , Silva Cláudio Moisés Santos e 
Published: May 2022

AbstractThe use if the general circulation model (GCM) as a boundary condition for the dynamic regionalization process, without robust technical criteria, is one of the problems responsible for increasing the uncertainties of simulations and projections of climate scenarios, mainly affecting the observed trends and consequently the representation of future trends. Based on this premise, the present study evaluated the historical ability of 30 models that make up phase 5 of the Coupled Model Intercomparison Project using the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method. The meteorological variables used in this assessment were precipitation and near‐surface air temperature from 1975 to 2005 in the southern sectors of the Amazon Basin (SAMZ), Eastern Northeast Brazil (ENEB), and the intersection area between these regions, called MATOPIBA, was used to select the best GCM. The annual cycle, Taylor diagram and TOPSIS method were used as metrics of similarity between the models and the reference dataset. In general, the models simulated the temperature more accurately than the precipitation, with lower dispersions. According to the TOPSIS, over SAMZ, the HadGEM2‐ES (MIROC5) model was ranked with greater (less) ability to represent precipitation. In turn, for temperature the ensmean_cmip5 (IPSL‐CM5A‐MR) was the best (worst). Over ENEB, the model that showed the greatest (lowest) ability to simulate precipitation was CSIRO‐ACESS1.0 (HadGEM2‐AO). For temperature, the NorESM‐ME model (INMCM4) was ranked first (last). Over MATOPIBA, the CSIRO‐ACESS1.0 (NorESM‐ME) model was selected as having the best performance and the MPI‐ESM‐LR (MPI‐ESM‐LR) as the worst performance when representing precipitation (temperature). The similarities and discrepancies in the capacity of the GCM presented in the different metrics covered in this study can assist in the selection of more appropriate climate models in other regions for future studies of climate change.
In‐situ sorbent formation for the extraction of pesticides from honey
Authors: Nemati Mahboob , Altunay Nail , Tuzen Mustafa , Farajzadeh Mir Ali , Afshar Mogaddam Mohammad Reza 
Published: May 2022

An organic polymer was re‐precipitated in solution to use as an adsorbent in dispersive solid‐phase extraction of some pesticides from honey samples prior to their determination by high‐performance liquid chromatography‐tandem mass spectrometry. In this approach, different deep eutectic solvents were prepared using lysine and their ability in elution of the analytes from the adsorbent surface was tested. A diluted honey solution was transferred into a glass test tube and then a solution of polystyrene dissolved in dimethylformamide was injected into the solution. By doing this, polystyrene is re‐precipitated in the solution and dispersed in whole parts of it as many tiny particles. Then the mixture was centrifuged and the adsorbed analytes on the particles were eluted using a proper hydrophilic deep eutectic solvent. The central composite design approach was used for the optimization of effective parameters. The limits of detection and quantification were in the ranges of 0.06–0.20 and 0.22–0.69 ng/g, respectively. The calibration curves obtained by matrix‐matched standard solutions were linear in the range of 0.69–500 ng/g with a coefficient of determinations ≥0.9962. The method provided high extraction recoveries (70–99%) and enrichment factors (140–198), and an acceptable precision (relative standard deviations ≤7.1%).
Does corporate governance moderate the relationship between intellectual capital and firm's performance?
Authors: Van Loan Thi Hong , Vo Duc Hong , Hoang Hien Thi Thu , Tran Ngoc Phu 
Published: May 2022

AbstractPrevious studies examined the relationship between intellectual capital and a firm's performance. However, the moderating role of corporate governance—a fundamental factor leading to improved firm performance and increased intellectual capital accumulation—has largely been ignored, particularly in an emerging market such as Vietnam. As such, this study examines the moderating role of corporate governance on the intellectual capital–performance nexus in Vietnam. This study uses a sample of 45 listed firms in Vietnam from 2011 to 2018. The generalized method of moments (GMM) technique is utilized in this paper to enhance the robustness of the findings. The modified value‐added intellectual coefficient (MVAIC) model is used to measure intellectual capital. A firm's performance is proxied by both returns on assets and equity. Our results indicate that intellectual capital components such as capital employed efficiency, human capital efficiency and structural capital efficiency provide a significant and positive effect on a firm's performance. In addition, the results reveal that the inclusion of corporate governance as a moderating factor affects the relationship between intellectual capital and a firm's performance in Vietnam. Findings from this paper provide a valuable framework and implications for executives and policymakers in creating and managing intellectual capital within the Vietnamese context. Besides, improving corporate governance is critical to improving intellectual capital accumulation. To the authors' best knowledge, our literature review indicates that this is the first empirical study that examines the relationship between intellectual capital and a firm's performance using corporate governance as a moderating factor in Vietnam.
Management and outcome of parotid mucoepidermoid carcinoma by histological grade: A 21‐year review
Authors: Taniuchi Masataka , Kawata Ryo , Terada Tetsuya , Higashino Masaaki , Nishimura Hiromi , Kurisu Yoshitaka , Kuwabara Hiroko , Hirose Yoshinobu 
Published: May 2022

AbstractObjectiveMucoepidermoid carcinoma (MEC) is the most common malignancy of the parotid gland, but the outcome depends on the histological grade. Therefore, the aim of this study was to evaluate MEC on the basis of histological grade.Study DesignRetrospective analysis.MethodsWe performed a retrospective analysis of data from patients whose initial treatment for MEC of the parotid gland was performed at our department between 1999 and 2021. We examined the association between the Armed Forces Institute of Pathology (AFIP) grade and outcome.ResultsThe AFIP grades were as follows: low, 26 cases; intermediate, 9 cases; and high, 31 cases. About 50% of cases were correctly diagnosed as malignant, and both grade and histology were accurately determined by fine‐needle aspiration cytology in 20% of cases. The 5‐year disease‐free survival rate was 95.5% and 53.8% in the low‐/intermediate‐ and high‐grade cases, respectively. In the high‐grade group, cases with recurrence were found to have a higher rate of lymph nodes metastasis than cases without recurrence. Furthermore, in this high‐grade group, total sacrifice of the facial nerve did not reduce local recurrence. However, radical resection in the cases without tumor invasion to the nerve has decreased the local recurrence rate. The CRTC1‐MAML2 fusion gene was expressed in 42.3% of low‐/intermediate‐ and 14.3% of high‐grade cases.ConclusionsThe survival rate in MEC was quite different between the low‐/intermediate‐ and high‐grade cases. However, the rate of correct assessment of the grade by fine‐needle aspiration cytology was poor. In high‐grade cases, total sacrifice of the facial nerve may improve the rate of local recurrence in cases without invasion of the main trunk of the nerve. Expression of the CRTC1‐MAML2 fusion gene could be helpful in not only the assessment of grade but the prediction of recurrence.Level of Evidence4
A framework for understanding, designing, developing and evaluating learning health systems
Authors: Foley Tom , Vale Luke 
Published: May 2022

AbstractIntroductionA Learning Health System is not a technical project. It is the evolution of an existing health system into one capable of learning from every patient. This paper outlines a recently published framework intended to aid the understanding, design, development and evaluation of Learning Health Systems.MethodsThis work extended an existing repository of Learning Health System evidence, adding five more workshops. The total was subjected to thematic analysis, yielding a framework of elements important to understanding, designing, developing and evaluating Learning Health Systems. Purposeful literature reviews were conducted on each element. The findings were revised following a review by a group of international experts.ResultsThe resulting framework was arranged around four questions:

What is our rationale for developing a Learning Health System?
There can be many reasons for developing a Learning Health System. Understanding these will guide its development.

What sources of complexity exist at the system and the intervention level?
An understanding of complexity is central to making Learning Health Systems work. The non‐adoption, abandonment, scale‐up, spread and sustainability framework was utilised to help understand and manage it.

What strategic approaches to change do we need to consider?
A range of strategic issues must be addressed to enable successful change in a Learning Health System. These include, strategy, organisational structure, culture, workforce, implementation science, behaviour change, co‐design and evaluation.

What technical building blocks will we need?
A Learning Health System must capture data from practice, turn it into knowledge and apply it back into practice. There are many methods to achieve this and a range of platforms to help.

DiscussionThe results form a framework for understanding, designing, developing and evaluating Learning Health Systems at any scale.ConclusionIt is hoped that this framework will evolve with use and feedback.
Use of preprocurement biopsy in donation after circulatory death liver transplantation
Authors: Bolognese Alexandra C. , Foley David P. , Sparks Carrie J. , Schneider Adam K. , D'Alessandro Anthony M. , Neidlinger Nikole A. 
Published: May 2022

Abstract
We perform routine preprocurement image‐guided percutaneous liver biopsies on potential donation after circulatory death (DCD) liver donors. The purpose of this study was to examine the impact of preprocurement liver biopsy on the use of livers from DCD donors. We retrospectively reviewed demographics, liver histology, and disposition of DCD liver donors within a single organ procurement organization (OPO) who underwent preprocurement liver biopsy from January 2000 through December 2019. A total of 212 potential donors underwent prerecovery biopsy. No donors were lost as a result of complications of biopsy. Of these, 183 (86.3%) had acceptable biopsies: 146 (79.8%) were successfully transplanted and 37 (20.2%) were deemed not suitable for transplant. In contrast, of 120 DCD livers recovered with the intent to transplant that were not biopsied prior to recovery, 59 (49.2%) were successfully transplanted, and 61 (50.8%) were deemed not suitable for transplant. A total of 14 donors were ruled out for transplant based on prerecovery histology. Successfully transplanted livers that underwent preprocurement biopsy were more likely to come from donors aged older than 50 years or with body mass index more than 30 kg/m2 compared with successfully transplanted livers without a prerecovery biopsy. Biopsy excluded 6.6% of DCD donor livers for transplant prior to recovery and facilitated the successful recovery and transplant of two‐thirds of potential DCD donor livers. Livers intended for transplant at the time of recovery that did not undergo preprocurement biopsy were more likely to not be recovered or to be discarded. Preprocurement biopsy provides additional histologic information prior to deploying resources and helps to identify usable livers that might otherwise be declined for transplant. Consideration of liver biopsy in this group benefits OPOs and transplant centers by maximizing organ use and optimizing resource deployment.
3D‐Printed Electroactive Hydrogel Architectures with Sub‐100 µm Resolution Promote Myoblast Viability
Authors: Keate Rebecca L. , Tropp Joshua , Collins Caralyn P. , Ware Henry Oliver T. , Petty Anthony J. , Ameer Guillermo A. , Sun Cheng , Rivnay Jonathan 
Published: May 2022

Abstract3D‐printed hydrogel scaffolds functionalized with conductive polymers have demonstrated significant potential in regenerative applications for their structural tunability, physiochemical compatibility, and electroactivity. Controllably generating conductive hydrogels with fine features, however, has proven challenging. Here, micro‐continuous liquid interface production (μCLIP) method is utilized to 3D print poly(2‐hydroxyethyl methacrylate) (pHEMA) hydrogels. With a unique in‐situ polymerization approach, a sulfonated monomer is first incorporated into the hydrogel matrix and subsequently polymerized into a conjugated polyelectrolyte, poly(4‐(2,3‐dihydro‐thieno[3,4‐b][1,4]dioxin‐2‐ylmethoxy)‐butane‐1 sulfonic acid sodium salt (PEDOT‐S). Rod structures are fabricated at different crosslinking levels to investigate PEDOT‐S incorporation and its effect on bulk hydrogel electronic and mechanical properties. After demonstrating that PEDOT‐S does not significantly compromise the structures of the bulk material, pHEMA scaffolds are fabricated via μCLIP with features smaller than 100 µm. Scaffold characterization confirms PEDOT‐S incorporation bolstered conductivity while lowering overall modulus. Finally, C2C12 myoblasts are seeded on PEDOT‐pHEMA structures to verify cytocompatibility and the potential of this material in future regenerative applications. PEDOT‐pHEMA scaffolds promote increased cell viability relative to their non‐conductive counterparts and differentially influence cell organization. Taken together, this study presents a promising new approach for fabricating complex conductive hydrogel structures for regenerative applications.
Serum Inflammatory Markers and Progression of Nonmotor Symptoms in Early Parkinson's Disease
Authors: Kim Ryul , Kim Han‐Joon , Shin Jung Hwan , Lee Chan Young , Jeon Seung Ho , Jeon Beomseok 
Published: May 2022

ABSTRACTBackgroundThe influence of peripheral inflammation on nonmotor symptoms (NMSs) in Parkinson's disease (PD) remains unclear.ObjectiveThe aim of this study was to explore whether serum inflammatory marker profiles are associated with the progression of NMSs in early PD.MethodsWe included 45 patients with early PD and 20 healthy control subjects. Six inflammatory markers, including interleukin (IL)‐1β, IL‐2, IL‐6, IL‐10, tumor necrosis factor‐α, and high‐sensitivity C‐reactive protein, were measured. NMSs were assessed using the Non‐Motor Symptoms Scale, Montreal Cognitive Assessment, and Composite Autonomic Symptom Score‐31 at baseline and after 3 years.ResultsPrincipal component (PC) analysis showed that only PC3 scores, mainly loaded by IL‐2 and IL‐6, were significantly elevated in the PD group compared with the control group. Higher PC3 scores in the PD group were associated with faster progression of Non‐Motor Symptoms Scale total and mood/apathy domain scores. There were no significant associations of PC scores with Montreal Cognitive Assessment and Composite Autonomic Symptom Score‐31 score changes.ConclusionsPeripheral inflammation may be related to the evolution of NMSs, particularly mood symptoms, in the early stages of PD. © 2022 International Parkinson and Movement Disorder Society.