bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of melter cold‐cap topology from plenum temperatures with computational fluid dynamics and machine learning
Authors: Abboud Alexander W. , Guillen Donna P. , Christensen Bailey A. 
Published: June 2022

AbstractA computational fluid dynamics (CFD) model of a pilot‐scale waste‐glass melter was used to generate input data for several different machine‐learning models to predict the cold‐cap coverage from plenum temperatures. This methodology could serve as useful to provide nonvisual feedback for operational control. The machine‐learning models tested include an artificial neural network (ANN), a convolutional neural network (CNN), a random forest (RF) algorithm, and a support vector machine (SVM) method. CFD simulations with randomized cold‐cap coverage were run to generate plenum‐temperature distributions. The topology of the cold cap was predicted with each method using an input layer of selected temperature locations. The ANN was used to predict the cold‐cap coverage percentage with an accuracy of 1.2%. The accuracy of the various machine‐learning algorithms was dependent on the filter resolution employed. When using a low resolution (16‐cm filter), the CNN and ANN methods produced the best accuracy, with errors of 6.98% and 6.58%, respectively. At finer levels of resolution (4‐cm filter), the RF method produced the best accuracy, with an error of 8.12%. The ANN and SVM methods required less computational time to train than either the CNN or RF methods.
Dehydrogenation Based Asymmetric Epoxidation of Arylalkanes to Chiral Epoxides
Authors: Su Yiting , Yu Feng , Liu Guixia , Huang Zheng 
Published: June 2022

Comprehensive SummaryWe report herein a formal asymmetric epoxidation of arylalkanes enabled by a one‐pot dual‐catalysts system comprising a pincer Ir catalyst for alkane dehydrogenation‐alkene isomerization (AD‐ISO) and a chiral ketone catalyst for asymmetric alkene epoxidation. This protocol provides a catalytic method for the synthesis of aryl epoxides in useful yields with high regio‐ and stereoselectivity directly from readily available alkyl arenes. Stereospecific derivatizations of the epoxidation product allow access to various enantioenriched compounds.
Images in transformation: The color and its change in a group of Portuguese paintings from the second half of the 16th century
Authors: Pinheiro de Melo Helena , Cruz António João , Sanyova Jana , Valadas Sara , Cardoso Ana Margarida , Candeias António 
Published: June 2022

AbstractFour panel paintings depicting episodes related to the birth of Christ and attributed to the Portuguese mannerist painter Francisco João (doc. 1558–1585) were found to exhibit a muted palette that had no correspondence with the traditionally vivid colors used in the sixteenth century to represent joyful biblical events. Complementing previous research on the disruption and loss of the red glazes in these paintings, the investigation focused on the analysis of materials, painting technique and degradation issues that further affected the original paintings, changing the viewer's perception and understanding of these artworks. The investigation combined the visual examination of the painting surface with microscopic and spectroscopic analysis of the binder and pigments. A conventional palette made of lead white, lead‐tin yellow, ochres, vermilion, verdigris, smalt, azurite, carbon black and a red lake made of brazilwood and cochineal was identified. The pigments were bound in an oil‐based medium. Chemical and physical alterations detected in paints rich in smalt and verdigris were found to be responsible for color changes affecting significant areas of the compositions. The presence of moisture and the reaction between pigment and binder leading, among other products, to soap and oxalate formation, played a central role in the long‐term behavior of the paint film. Understanding the main degradation processes involved and their consequences is crucial when interpreting an artists' color palette and designing the best approach to preserve these paintings.
Adaptive neuro fuzzy inference system with elephant herding optimization based energy management scheme
Authors: Roy Kallol , Kamal Krishna Mandal , Atis Chandra Mandal 
Published: June 2022

AbstractIt's not uncommon for renewable energy sources to be regarded a good investment because of the current state of the global economy. It may be difficult to locate such resources if microgrid technologies do not meet the requirements. An elephant herding optimization (EHO) was offered as a solution to the challenges of heuristic methods. Adaptive neuro‐fuzzy inference system is used to train the EHO in this technique. The primary contribution of this essay is to optimize battery use in order to maximize battery consumption. The goal of this project is to lower operating expenses while also improving the accuracy of forecasts. Given a number of programming uncertainties depending on parameters. The proposed method is tested in MATLAB/Simulink, and the results are compared to the theoretical results. In order to ensure compatibility and competency, the new method is compared to the present cuttlefish algorithm and the whale optimization algorithm.
Hospital presenting suicidal ideation: A systematic review
Authors: Fawcett Emma , O'Reilly Gary 
Published: June 2022

AbstractBackgroundResearch indicates that the emergency department is the primary setting for people to present with suicidal ideation. Attempting to provide interventions for this population depends greatly on understanding their needs and life circumstances at the time of presentation to services, therefore enabling more appropriate treatment pathways and services to be provided.AimThis review aims to collate, evaluate and synthesize the empirical research focused on the population of people presenting to hospital settings with suicidal ideation.MethodA systematic literature search was performed. Articles that met a specified set of inclusion criteria including participants being over 18, not being admitted to hospital and presenting to an emergency department setting underwent a quality assessment and data analysis. The quality assessment used was the EPHPP Quality Assessment Tool for Quantitative Studies (Thomas et al., 2004).ResultsTwenty‐seven articles were included in the review. Studies were quantitative and of reasonable methodological quality (Thomas et al., 2004). The literature was characterized by demographic information, mental health factors associated with the presentation to hospital and treatment pathways or outcomes reported. The reviewed research showed that people presenting to emergency departments with suicidal ideation were varying in age, gender, ethnic background and socio‐economic status (SES). Large proportions of studies reported psychosocial factors alongside interpersonal struggles as the main presenting reason. The review highlights large variability across these factors. Mental health diagnosis was common, previous suicide attempt was a risk factor, and treatment pathways were unclear. The review identifies the outstanding gaps and weaknesses in this literature as well as areas in need of future research.ConclusionsIn conclusion, the review highlights the prevalence of people reporting interpersonal factors as the reason for suicidal ideation and not mental health disorders or diagnosis. Despite this, no mention of trauma or life stories was made in any study assessing this population. Despite a large variation across studies making synthesis difficult, data proves clinically relevant and informative for future practice and guidance on areas needing further research.
Predicting Material Properties by Deep Graph Networks
Authors: Jiang Hantong , Lin Xuanjie , Wang Liquan , Ren Yongsheng , Zhan Shu , Ma Wenhui 
Published: June 2022

AbstractNodes and edges constitute crystal structures, so crystal structures are easy to express as graphs. Using graph networks to predict material properties has been a prevailing view in the past years. Neural networks are used to fit the density functional theory (DFT) calculation results to predict the properties of various materials. Based on this train of thought, the authors develop graph neural network models for predicting material properties with crystal structure data, and the model gets competitive results with Material Project datasets. It is demonstrated that the authors’ model outperforms other ML methods. Like MEGNet, this model makes input data three parts: nodes, edges, and global. Using Graph Attention Network (GAT) can aggregate node data with edge information and get attention to important areas in graphs. Integrating three features retains structural information and is more suitable for mapping the original distribution of crystal structures.
Financial performance under board gender diversity: The mediating effect of corporate social practices
Authors: Boukattaya Sonia , Ftiti Zied , Ben Arfa Nouha , Omri Abdelwahed 
Published: June 2022

AbstractThis paper aims to examine whether the corporate social practices (CSP) affect the board gender diversity–financial performance relationship. Taking a sample of French firms listed in the SBF 120 index during 2005–2019 period, we used the mediation effect steps analysis to test the mediation effect of corporate social responsibility (CSR) versus corporate social irresponsibility (CSI) on the relationship between board gender diversity and the firm's performance. First, our findings show that board gender diversity has a stronger impact on CSI than CSR. Second, we confirm that CSP exert an asymmetric effect on financial performance in favour of CSI. Finally, we show that CSI plays a mediating role between board gender diversity and financial performance.
Mass versus personalized medicine againstCOVID‐19 in the “system sciences” era
Authors: Teodori Laura , Osimani Barbara , Isidoro Ciro , Ramakrishna Seeram 
Published: June 2022

AbstractThe importance of personalized/precision medicine for targeted therapies and improved outcomes both in terms of efficacy and safety in health care is by now grounded. We here discuss the current landscape of personalized medicine approaches against SARS‐CoV‐2. A schematic of the approach is illustrated in the figure in the text.
Development of a 27‐color panel for the detection of measurable residual disease in patients diagnosed with acute myeloid leukemia
Authors: Soh Kah Teong , Conway Alexis , Liu Xiaojun , Wallace Paul K. 
Published: June 2022

AbstractAcute myeloid leukemia (AML) measurable residual disease (MRD) evaluated by multiparametric flow cytometry (MFC) is a surrogate for progression‐free and overall survival in clinical trials and patient management. Due to the limited number of detection channels available in conventional flow cytometers, panels used for assessing AML MRD are typically split into multiple tubes. This cripples the simultaneous and correlated assessment of all myeloblast measurements. In response, we prototyped a single‐tube 27‐color MFC assay for the evaluation of AML MRD, incorporating all recommended markers. Marrow aspirates from 22 patients were processed for analysis using full spectrum flow cytometry (FSFC). The signal resolution of each marker was compared between samples stained with single antibody vs. the fully stained panel. The analytical accuracy for quantifying hematopoietic cells between our established 8‐color assay and the new 27‐color method were compared. Variations within an operator and between separate operators were assessed to evaluate the assays reproducibility. The limited of blank (LOB), limit of detection (LOD), and lower limit of quantification (LLOQ) of the 27‐color method were empirically determined using limiting dilution experiments. The stability of antibody cocktails over a period of 120 h was also studied using cryopreserved marrow cells. The stain indices for all antibodies were lower in the fully stained panel compared to cells stained with one antibody but clear separations between negative and positive signals were achieved for all antibodies. Our results demonstrated a high concordance between the established 8‐color method and the new 27‐color assay for enumerating myeloblasts and MRD interpretation within and between operators. The data further showed that the single‐tube 27‐color assay easily achieved the minimum required detection sensitivity of 0.1%. When antibodies were combined, however, expression intensity of some antigens deteriorated significantly when stored. Our single‐tube 27‐color panel is a suitable, high sensitivity flow cytometric approach that can be used for AML MRD testing, which improves the correlation of aberrant antigens and detection of asynchronous differentiation patterns. Based on the stability study, we recommend the full panel be made prior to staining.
Implement high‐impact practices to increase student engagement, success
Authors: Sutton Halley 
Published: June 2022

WASHINGTON, D.C. — At a virtual session at the annual conference for the Association of American Colleges and Universities, Tracie Clifford, an Instructor and Master Faculty of high‐impact practices at Chattanooga State Community College, shared how her institution has implemented HIPs and overhauled course design to better meet the needs of student success.
Bilateral follicular variant of papillary thyroid cancer with different RAS mutations detected with next‐generation sequencing: Report of an unusual case and literature review
Authors: Marín Fernando , del Nuevo Esther , Belinchón Alberta , Acevedo Agustín 
Published: June 2022

AbstractMultifocality in papillary thyroid carcinoma (PTC) is a common finding, but the clonal relationship between individual tumors remains uncertain. While multiple synchronous tumor foci of PTC may develop through permeation of intraglandular lymph vessels of a single malignant clone, they can also arise from independent progenitor clones sustained by different genetic events. We report the case of a 37‐year‐old man who underwent total thyroidectomy after fine‐needle aspiration of two bilateral thyroid nodules that yielded cytological findings consistent with atypia of undetermined significance/follicular lesion of undetermined significance. By next‐generation sequencing of a large panel of thyroid carcinoma related genes, we found that the larger tumor harbored a mutation of the NRAS gene, while the contralateral tumor harbored a different mutation in the HRAS gene. Final pathology of the surgical specimen showed two encapsulated follicular variant papillary thyroid carcinomas of 16 and 6 mm in the right and the left lobes, respectively. To the best of our knowledge, this is the fourth case of multifocal PTC showing different HRAS and NRAS mutations, and highlights that mutational heterogeneity is also present in non‐BRAF, non‐RET genes, supporting the hypothesis that independent progenitor clones may explain multifocality in papillary thyroid carcinoma.
Cervical esophageal adenocarcinoma of intestinal type in ectopic gastric mucosa
Authors: Ikeda Ryosuke , Hirasawa Kingo , Ozeki Yuichiro , Sawada Atsushi , Nishio Masafumi , Fukuchi Takehide , Sato Chiko , Maeda Shin 
Published: June 2022

AbstractA 45‐year‐old man underwent esophagogastroduodenoscopy because of symptoms of laryngopharyngeal discomfort. We found a protruded reddish lesion adjacent to the ectopic gastric mucosa (EGM) in the cervical esophagus, and a biopsy revealed that it was a tubular adenocarcinoma. We diagnosed the patient with intramucosal cancer and performed endoscopic submucosal dissection. Esophageal endoscopic submucosal dissection was performed under general anesthesia using a conventional procedure. The resected tumor measured 23 × 14 mm and was adjacent to the EGM. Histologically, the tumor cells showed moderately well‐differentiated adenocarcinoma confined to the muscularis mucosa with no lymphovascular infiltration. Immunohistochemically, the tumor cells were positive for intestinal markers, namely MUC2 and CD10, and negative for gastric markers, namely MUC5AC and MUC6. The patient had no post‐endoscopy submucosal dissection stenosis and remained disease‐free without local recurrence. EGM of the cervical esophagus develops from the columnar epithelium during embryonic development. There are few reports on endoscopic submucosal dissection for mucosal cancer. Of these, immunostaining was performed in three cases. All were positive for MUC5AC and MUC6 and negative for MUC2 and CD10. Usually, EGM shows gastric type epithelium, but occasional cases with intestinal metaplasia, which show positivity for MUC2 and CD10, have been reported. Therefore, we consider this to be an extremely rare case of esophageal adenocarcinoma arising from intestinal metaplasia within the EGM.
Characterization of 17 unknown ketamine manufacturing by‐product impurities by UHPLC‐QTOF‐MS
Authors: Liu Cui‐Mei , Hua Zhen‐Dong , Jia Wei , Liu Pei‐Pei , Xu Yu 
Published: June 2022

AbstractThis study initially reported the selection and characterization of 17 unknown impurities attributed to the manufacture process of ketamine. A total of 150 seized ketamine samples were investigated through ultra‐high‐performance liquid chromatography‐quadrupole‐time of flight (UHPLC‐Q‐TOF). Seventeen characteristic impurities were selected in accordance with four criteria: The compound was detected in over 10% of all 150 seized ketamine samples, the compound had at least one nitrogen, the unsaturation of the compound was more than 5, and the compound was stable in the dilution solvent solution for 48 h. The accurate masses of the protonated molecules and product ions of the target impurities were obtained based on the full scan mode and the product ion mode of Q‐TOF, respectively. Lastly, the possible structures of the above impurities were tentatively elucidated in accordance with the synthetic route of ketamine, protonated molecules, and MS2 product ions. All 17 impurities had the same skeleton of deschloroketamine (DCK), but were substituted with additional chlorine, hydroxyl, methyl, cyclohexane, and o‐chlorophenyl cyclopentyl ketone substituents. Under the electrospray ionization (ESI), the above impurities showed similar characteristic fragment ions through the dissociation of the CH3NH2, C2H6NH, H2O, CO, C2H4O, C4H6, and C2H2 moieties. The above impurities have been routinely used for the profiling analysis of seized ketamine samples in the National Narcotics Laboratory of China and employed to establish the tactical intelligence for law enforcement agencies.
A new framework to understand the drivers of policy mixes in multilevel contexts: The case of urban air pollution
Authors: Eckersley Peter , Harrison Oliver , Poberezhskaya Marianna 
Published: June 2022

AbstractThe literature on policy mixes tends to focus on the instruments that different jurisdictions adopt to tackle public problems, and how policies may complement or conflict with each other. Fewer studies examine the factors that influence instrument choice, particularly within multilevel contexts, despite a recognition that policy mixes to tackle similar issues vary substantially across and within countries. We present a new framework to help understand and predict policy choice in subnational governance, arguing that the level of local support for action influences the type of policy a city adopts, whereas top‐down drivers shape the breadth of instruments it deploys. Drawing on in‐depth stakeholder interviews and documentary analysis, we apply this framework to explain why two contrasting English cities selected their own distinctive policy mixes to combat air pollution. We suggest that where top‐down drivers for action are strong but bottom‐up support is muted, as was the case in Nottingham, municipal governments are likely to adopt a broad range of largely (re)distributive, informational and administrative instruments to tackle policy problems. Where local support is strong, as in Westminster, city authorities prefer to introduce regulations, because restrictions entail fewer political costs in these contexts and are more likely to be effective.
Transglutaminase 2 affinity and enzyme‐substrate intermediate stability as determining factors for T‐cell responses to gluten peptides in celiac disease
Authors: Amundsen Sunniva F. , Stamnaes Jorunn , du Pré Marie Fleur , Sollid Ludvig M. 
Published: June 2022

AbstractThe adaptive immune response of celiac disease (CeD) involves presentation of gluten peptides to CD4+ T cells by transglutaminase 2 (TG2) specific B cells. This B‐cell/T‐cell crosstalk is facilitated by involvement of TG2:gluten peptide complexes that act principally in the form of enzyme‐substrate intermediates. Here, we have addressed how gluten peptide affinity and complex stability in the presence of secondary substrates affect the uptake of TG2:gluten peptide complexes by TG2‐specific B cells and the activation of gluten‐specific T cells. We studied affinity of various gluten peptides for TG2 by biochemical assay, and monitored uptake of gluten peptides by TG2‐specific B cells by flow cytometry. Crosstalk between TG2‐specific B cells and gluten‐specific T cells was assayed with transfectants expressing antigen receptors derived from CeD patients. We found that gluten peptides with high TG2 affinity showed better uptake by TG2‐specific B cells. Uptake by B cells, and subsequent activation of T cells, was negatively affected by polyamines acting as secondary TG2 substrates. These results show that affinity between gluten peptide and TG2 governs the selection of T‐cell epitopes via enhanced uptake of TG2:gluten complexes by TG2‐specific B cells, and that exogenous polyamines can influence the CeD immune responses by disrupting TG2:gluten complexes.
Secure forensic data transmission system in cloud database using fuzzy based butterfly optimization and modifiedECC
Authors: Raji L. , Ramya S. Thanga 
Published: June 2022

AbstractData forensic is the investigation of digital data which illustrates how it is created and utilized. It is composed of detection, preservation, retrieval, and analyzing digital information. These data are stored in different domains. When storing the data in a cloud database it is ineluctable to circumvent the data leakage. Several deep learning approaches were conducted to resist data leakage. However, optimized security was not obtained. To address the aforementioned issues we have proposed a novel modified elliptic curve cryptography based secure forensic data transmission system (MESFDT) in the cloud database. The conventional ECC selects the keys used for the encryption and decryption process randomly. This might cause the generation of countless keys and can be easily hacked by a malicious user. Therefore we adopted fuzzy based butterfly optimization algorithm (FBOA) for the generation of keys. Thus the ECC is modified to form modified elliptic curve cryptography (MECC). The proposed method is comprised of a MECC integration unit, wireless transceiver, USB interface, MECC unit, smart card reader. This helps to transfer the forensic data from the user to the cloud database securely and also circumvent the duplication of data. The experimental study depicts that the proposed method increases the security of forensic data and mitigates the encryption and decryption time more gently than the other existing approaches.