bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aqueous Zn−organic batteries: Electrochemistry and design strategies
Authors: Ji Weixiao , Du Dawei , Liang Jiachen , Li Gang , Feng Guanzheng , Yin Zilong , Zhou Jiyao , Zhao Jiapeng , Shen Yisan , Huang He , Pang Siping 
Published: October 2023

AbstractOrganic electroactive materials are increasingly recognized as promising cathode materials for aqueous zinc–ion batteries (AZIBs), owing to their structural diversity and renewable nature. Despite this, the electrochemistry of these organic cathodes in AZIBs is still less than optimal, particularly in aspects such as output voltage, cyclability, and rate performance. In this review, we provide an overview of the evolutionary history of organic cathodes in AZIBs and elucidate their charge‐storage mechanisms. We then delve into the strategies to overcome the prevailing challenges faced by aqueous Zn−organic batteries, including low achievable capacity and output voltage, poor cycling stability, and rate performance. Design strategies to enhance cell performance include tailoring molecular structure, engineering electrode microstructure, and modulation of electrolyte composition. Finally, we highlight that future research directions should cover performance evaluation under practical conditions and the recycling and reuse of organic electrode materials.
A novel method for continuous chromatographic separation of monoclonal antibody charge variants by combining displacement mode chromatography and step elution
Authors: Anupa Anupa , Bansode Vikrant , Kateja Nikhil , Rathore Anurag S. 
Published: October 2023

AbstractCharge heterogeneity of monoclonal antibodies is considered a critical quality attribute and hence needs to be monitored and controlled by the manufacturer. Typically, this is accomplished via separation of charge variants on cation exchange chromatography (CEX) using a pH or conductivity based linear gradient elution. Although an effective approach, this is challenging particularly during continuous processing as creation of linear gradient during continuous processing adds to process complexity and can lead to deviations in product quality upon slightest changes in gradient formation. Moreover, the long length of elution gradient along with the required peak fractionation makes process integration difficult. In this study, we propose a novel approach for separation of charge variants during continuous CEX chromatography by utilizing a combination of displacement mode chromatography and salt‐based step elution. It has been demonstrated that while the displacement mode of chromatography enables control of acidic variants ≤26% in the CEX eluate, salt‐based step gradient elution manages basic charge variant ≤25% in the CEX eluate. The proposed approach has been successfully demonstrated using feed materials with varying compositions. On comparing the designed strategy with 2‐column concurrent (CC) chromatography, the resin specific productivity increased by 95% and resin utilization increased by 183% with recovery of main species >99%. Further, in order to showcase the amenability of the designed CEX method in continuous operation, the method was examined in our in‐house continuous mAb platform.
Assessing code readability in Python programming courses using eye‐tracking
Authors: Segedinac Milan , Savić Goran , Zeljković Ivana , Slivka Jelena , Konjović Zora 
Published: October 2023

AbstractCode readability models are typically based on the code's structural and textual features, considering code readability as an objective category. However, readability is inherently subjective and dependent on the knowledge and experience of the reader analyzing the code. This paper assesses the readability of Python code statements commonly used in undergraduate programming courses. Our readability model is based on tracking the reader's eye movement during the while‐read phase. It uses machine learning (ML) techniques and relies on a novel set of features—observational features—that capture how the readers read the code. We experimented by tracking the eye movement of 90 undergraduate students while assessing the readability of 48 Python code snippets. We trained an ML model that predicts readability based on the collected observational data and the code snippet's structural and textual features. In our experiments, the XGBoost classifier trained using observational features exclusively achieved the best results (0.85 F‐measure). Using correlation analysis, we identified Python statements most affecting readability for undergraduate students and proposed implications for teaching Python programming. In line with findings for Java language, we found that constructs related to the code's size and complexity hurt the code's readability. Numerous comments also hindered readability, potentially due to their association with less readable code. Some Python‐specific statements (list comprehension, lambda function, and dictionary comprehension) harmed code readability, even though they were part of the curriculum. Tracking students' gaze indicated some additional factors, most notably nonlinearity introduced by if, for, while, try, and function call statements.
Bibliometric study: Trends in multicultural counselling competence research in Indonesia, 2013–2022, and its implications
Authors: Roziqi Masbahur 
Published: October 2023

AbstractObjectiveThis study aims to uncover the data on research trends in multicultural counselling competence in Indonesia from 2013 to 2022 and its implications for the future development of research in multicultural counselling competence.MethodThe method used in this study is bibliometric analysis, with data collection conducted through the Google Scholar database, which is a reputable search engine among Indonesian researchers.ResultThe results of this study identified a total of 13 articles published in seven journals and six proceedings. The journal “Komunika: Jurnal Dakwah dan Komunikasi” had the highest impact (H‐index) with a score of 24, while the author Riza Zahriyal Falah had the highest number of citations with a total of 42 citations. The dominant keywords in the research trends of multicultural counselling competence included multiculturalism, multicultural, guidance and counselling, and counselling. Each of these keywords appeared twice compared with 32 other keywords that only appeared once.ConclusionThe findings in the coword mapping can still be further developed for research advancement by exploring multicultural counselling competence through the exploration of various cultures in Indonesia. Additionally, the findings regarding co‐authorship can be developed for cross‐institutional collaborations within the country and international research collaborations.
Unravelling the Secrets of α‐Pyrones from Aspergillus Fungi: A Comprehensive Review of Their Natural Sources, Biosynthesis, and Biological Activities
Authors: Asmaey Mostafa A. 
Published: October 2023

AbstractAspergillus, one of the most product‐rich and genetically robust genera, contains a diverse range of species with potential economic and ecological implications. Chemically, Aspergillus is one of the essential sources of polyketides, alkaloids, diphenyl ethers, diketopiperazines, and other miscellaneous compounds, displaying a variety of pharmacological activities. The α‐pyrones are unsaturated six‐membered lactones. Although α‐pyrone has a small structure, it is responsible for the structural diversity of several natural and synthetic compounds and multiple biological activities. In this review, we have summarized approximately 178 α‐pyrone containing metabolites derivatives identified/reported from terrestrial, marine, endophytic, and filamentous Aspergillus species, including their sources, biological properties, and biosynthetic pathways until mid‐2023, for the first time. This review is the first to compile and analyze the available data on α‐pyrone metabolites from Aspergillus, which could facilitate further research and innovation in this field. Additionally, it offers a valuable source of scaffolds for future bioactive drug development, as some of these metabolites have shown potent antimicrobial, anti‐inflammatory, and anticancer effects. Therefore, this review has significant implications for the advancement of natural product chemistry, pharmacology, biotechnology, and medicine.
Breast cancer: A comparative review for breast cancer detection using machine learning techniques
Authors: Khan Mohd Jawed , Singh Arun Kumar , Sultana Razia , Singh Pankaj Pratap , Khan Asif , Saxena Sandeep 
Published: October 2023

AbstractBreast cancer is the most common cancer among women globally and presents a significant challenge due to its rising incidence and fatality rates. Factors such as cultural, socioeconomic, and educational barriers contribute to inadequate awareness and access to healthcare services, often leading to delayed diagnoses and poor patient outcomes. Furthermore, fostering a collaborative approach among healthcare providers, policymakers, and community leaders is crucial in addressing this critical women's health issue, reducing mortality rates, alleviating, and the overall burden of breast cancer. The main goal of this review is to explore various techniques of machine learning algorithms to examine high accuracy and early detection of breast cancer for the safe health of women.
The role of NFATc1 in the progression and metastasis of prostate cancer: A review on the molecular mechanisms and signaling pathways
Authors: Hasani Samaneh , Fathabadi Farshid , Saeidi Saman , Mohajernoei Pouya , Hesari Zahra 
Published: October 2023

AbstractA common type of cancer among men is the prostate cancer that kills many people every year. The multistage of this disease and the involvement of the vital organs of the body have reduced the life span and quality of life of the people involved and turned the treatment process into a complex one. NFATc1 biomarker contributes significantly in the diagnosis and treatment of this disease by increasing its expression in prostate cancer and helping the proliferation, differentiation, and invasion of cancer cells through different signaling pathways. NFATc1 is also able to target the metabolism of cancer cells by inserting specific oncogene molecules such as c‐myc that it causes cell growth and proliferation. Bone is a common tissue where prostate cancer cells metastasize. In this regard, the activity of NFATc1, through the regulation of different signaling cascades, including the RANKL/RANK signaling pathway, in turn, increases the activity of osteoclasts, and as a result, bone tissue is gradually ruined. Using Silibinin as a medicinal plant extract can inhibit the activity of osteoclasts related to prostate cancer by targeting NFATc. Undoubtedly, NFATc1 is one of the effective oncogenes related to prostate cancer, which has the potential to put this cancer on the path of progression and metastasis. In this review, we will highlight the role of NFATc1 in the progression and metastasis of prostate cancer. Furthermore, we will summarize signaling pathways and molecular mechanism, through which NFATc1 regulates the process of prostate cancer.
A critical review of undergraduate education and teaching in forensic psychiatry
Authors: Sharda Leila , Wright Karen 
Published: October 2023

AbstractBackgroundAlthough forensic psychiatry is recognised as a full medical speciality in the UK, training in it is not routinely offered to medical students. With growth both in forensic psychiatry and availability of medical school places, it is a good time to explore the nature and quality of experience already available.Aims1. To map the literature against the guideline for reporting evidence‐based practice educational interventions and teaching checklist. 2. To critically review research and scholarship. 3. To identify gaps in evidence‐based education for medical students in forensic psychiatry.MethodA systematic search of three bibliographic databases from inception to December 2021 was undertaken using keywords related to medical students and forensic psychiatry between December 2021 and March 2022. The search was supplemented by citation and hand searching.ResultsEight articles were identified. Collectively, they suggest that education and teaching were implemented at a local level and not linked to theories of learning. Exposure to forensic psychiatry stimulated positive attitudes, which amplified interest in psychiatry. There was insufficient evidence to determine optimal undergraduate education and teaching practice in forensic psychiatry.ConclusionsForensic psychiatry appears to have much to offer the medical undergraduate as part of core learning in psychiatry, including universal skills and knowledge such as ethical decision‐making and handling emotions. There appears to be considerable opportunity for education, teaching and research innovation in undergraduate education and teaching in forensic psychiatry. Interesting areas for development include simulated and coproduced education.
Funding adequacy and the community college
Authors: Romano Richard M. , Palmer James C. 
Published: October 2023

AbstractIt is generally accepted that the nation's community colleges are underfunded, especially given the job that society expects of them. Accordingly, practitioners and scholars have long argued for new revenue sources and funding models. This essay briefly explains one such alternative model, namely funding adequacy. This concept has a long history at the K‐12 level and holds potential for application in community colleges.
Strong Metal‐Support Interactions in ZrO2‐Supported IrOx Catalyst for Efficient Oxygen Evolution Reaction
Authors: Dhawan Himanshi , Tan Xuehai , Shen Jing , Woodford James , Secanell Marc , Semagina Natalia 
Published: October 2023

AbstractThe use of ZrO2 as a support material for IrOx‐based catalysts in oxygen evolution reaction (OER) electrocatalysis was studied using ex‐situ characterization and rotating disk electrode electrochemical testing of supported IrxZr(1‐x)O2 on ZrO2 of varying sizes. The catalyst exhibited high OER mass (specific) activity (712 A
) and intrinsic activity (4.8 mA
) at 1.6 VRHE, attributed to IrxZr(1‐x)O2 alloy formation, an interconnected network of Irx Zr(1‐x)O2 nanoparticles and the presence of Ir(III)/Ir(IV) species throughout the bulk. It also appears to be resistant to Ir dissolution; however, accumulation of O2 bubbles in the catalyst microstructure and minor phase transformation of Ir(III)/Ir(IV) species during OER cause deactivation. Temperature‐programmed desorption indicated a possible link between the observed high activity and higher amounts of adsorbed H2O and desorbed O2 species.
Toward a Traceless Tag for the Thiol‐Mediated Uptake of Proteins
Authors: Maynard John R. J. , Saidjalolov Saidbakhrom , Velluz Marie‐Claire , Vossio Stefania , Aumeier Charlotte , Moreau Dimitri , Sakai Naomi , Matile Stefan 
Published: October 2023

AbstractThe emergence of thiol‐mediated uptake (TMU) as a powerful strategy to penetrate cells calls for the development of practical small‐molecule TMU tools for traceless delivery. Toward this goal, esters are explored here as bioreversible linkers between dynamic covalent cascade exchangers accounting for TMU and the protein of interest (POI). The method relies on α‐aryl‐α‐diazoamides that react with carboxylic acids of the POI to form esters that can be enzymatically hydrolyzed inside cells to release the native POI. A two‐step protocol is established for bioreversible conjugation of TMU tags to the POI. Despite the small number of tags attached to POIs to prevent isoelectric precipitation, POIs with traceless TMU tags are shown to efficiently enter cells not only in 2D culture but also in 3D spheroids mimicking deep tissue, confirming a key advantage of TMU. Uptake inhibition by various thiol‐reactive agents confirms the participation of cell‐surface thiols in cell penetration, i. e., the occurrence of TMU.
9‐Azahomocubane
Authors: Fahrenhorst‐Jones Tyler , Marshall David L. , Burns Jed M. , Pierens Gregory K. , Van Meurs Derek P. , Kong Dehui , Bernhardt Paul V. , Blanksby Stephen J. , Savage G. Paul , Eaton Philip E. , Williams Craig M. 
Published: October 2023

AbstractHomocubane, a highly strained cage hydrocarbon, contains two very different positions for the introduction of a nitrogen atom into the skeleton, e. g., a position 1 exchange results in a tertiary amine whereas position 9 yields a secondary amine. Herein reported is the synthesis of 9‐azahomocubane along with associated structural characterization, physical property analysis and chemical reactivity. Not only is 9‐azahomocubane readily synthesized, and found to be stable as predicted, the basicity of the secondary amine was observed to be significantly lower than the structurally related azabicyclo[2.2.1]heptane, although similar to 1‐azahomocubane.
Vapor‐Induced Assembly of a Platinum(II) Complex Loaded on Layered Double Hydroxide Nanoparticles
Authors: Morimoto Tamami , Yoshida Masaki , Sato‐Tomita Ayana , Nozawa Shunsuke , Takayama Junichi , Hiura Satoshi , Murayama Akihiro , Kobayashi Atsushi , Kato Masako 
Published: October 2023

AbstractInvited for the cover of this issue is the group of Masaki Yoshida and Masako Kato at Hokkaido University/Kwansei Gakuin University. The image depicts the changes in the assembly of PtII complexes with humidity on layered double hydroxide (LDH) nanoparticles, resulting in a drastic emission color change from green to orange. Read the full text of the article at 10.1002/chem.202301993.
Joint alignment network preserving structural information for multimode process fault diagnosis
Authors: Tan Shuai , Xu Xiayi , Shi Hongbo , Song Bing 
Published: October 2023

AbstractProduction conditions are complex and varied for a number of reasons. Models for defect diagnosis may perform worse as a result of the distributional mismatch between test data and training data. In order to diagnose process faults, it is crucial to take into account the fact that data exhibits varied distribution characteristics under various conditions. In the case of multiple operating conditions, the cross‐domain problem caused by different data distributions can degrade the performance of deep learning‐based fault diagnosis models. To overcome this challenge, a joint alignment network preserving structural information (JANSI) method is proposed. To extract richer and fine‐grained domain‐invariant features, the structural information preservation is proposed, which combines domain labels, category labels, and data distribution structures. To increase intra‐class compactness and inter‐class separability, class centre alignment is proposed. The effectiveness of the method on the cross‐domain unsupervised fault diagnosis problem is verified through three case studies.
EasyScienceGateway: A new framework for providing reproducible user environments on science gateways
Authors: Michels Alexander , Padmanabhan Anand , Li Zhiyu , Wang Shaowen 
Published: October 2023

SummaryScience gateways have become a core part of the cyberinfrastructure ecosystem by increasing access to computational resources and providing community platforms for sharing and publishing education and research materials. While science gateways represent a promising solution for computational reproducibility, common methods for providing users with their user environments on gateways present challenges which are difficult to overcome. This article presents EasyScienceGateway: a new framework for providing user environments on science gateways to resolve these challenges, provides the technical details on implementing the framework on a science gateway based on Jupyter Notebook, and discusses our experience applying the framework to the CyberGIS‐Jupyter and CyberGIS‐Jupyter for Water gateways.
Measurement of Trogocytosis: Quantitative Analyses Validated with Rigorous Controls
Authors: Taylor Ronald P. , Lindorfer Margaret A. 
Published: October 2023

AbstractTrogocytosis is a process in which receptors on acceptor cells remove and internalize cognate ligands from donor cells. Trogocytosis has a profound and negative impact on mAb‐based cancer immunotherapy, as seen in the treatment of chronic lymphocytic leukemia (CLL) with CD20 mAbs, such as rituximab (RTX) and ofatumumab (OFA). Our clinical observations of RTX/OFA‐mediated loss of the CD20 target from circulating CLL cells have been replicated in our in vitro studies. Here we describe flow cytometry and fluorescence microscopy experiments, which demonstrate that acceptor cells, such as monocytes/macrophages that express FcγR, remove and internalize both antigen and donor cell‐bound cognate IgG mAbs for several different mAb‐donor cell pairs. Fluorescent mAbs and portions of the plasma cell membrane are transferred from donor cells to acceptor cells, which include the THP‐1 monocytic cell line as well as freshly isolated monocytes. We describe rigorous controls to validate the reactions and eliminate dissociation or internalization as alternative mechanisms. Trogocytosis is likely to contribute to neutropenia, thrombocytopenia, and liver damage associated with use of antibody‐drug conjugates. The methods we have described should allow for examination of strategies focused on blocking trogocytosis and its adverse effects. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Trogocytosis of mAb‐opsonized donor cells mediated by adherent THP‐1 cellsAlternate Protocol: Application of fluorescence microscopy to examine THP‐1 cell‐mediated trogocytosisSupport Protocol 1: Alexa labeling of mAbs and determination of F/P ratiosSupport Protocol 2: Standard washing procedureSupport Protocol 3: Labeling and opsonization of cellsBasic Protocol 2: Trogocytosis mediated by human monocytes as acceptor cellsSupport Protocol 4: Isolation of human monocytesBasic Protocol 3: Trogocytosis mediated by THP‐1 cells in solutionSupport Protocol 5: Retinoic acid treatment of THP‐1 cellsSupport Protocol 6: Culturing of SCC‐25, BT‐474, MOLT‐4 and THP‐1 cell lines
In Vitro Dental Plaque Culture Model for Biofilm Structural Analyses
Authors: Lemus Alex A. , Valm Alex M. 
Published: October 2023

AbstractExtensive research has focused on the compositional changes in dental plaque microbiome communities during the transition from health to disease, known as dysbiosis. However, alterations in the spatial composition of these communities throughout the progression from health to disease remain under‐explored. We describe an in vitro dental plaque model for culturing oral biofilms seeded with dental plaque from human volunteers. Our model recapitulates important features of the in vivo environment including shear force induced by salivary flow over teeth and the nutritional milieu experienced by microbes that inhabit the transitional zone between supragingival and subgingival aspects of the teeth. Importantly, our model is amenable to multiplex fluorescent labeling and multispectral imaging for testing specific hypotheses regarding systems‐level community structure and function. The model allows for precise manipulation of various environmental conditions, such as flow rate and nutrient availability to investigate their effects on biofilm development and spatial structure. Furthermore, this model can be used to test the effects of various therapeutic interventions, e.g., antimicrobial agents, on the biofilm composition and structure at the micron to millimeter scale, making it a valuable tool for studying the molecular and cellular basis of dental plaque‐mediated diseases and for benchmarking new therapeutic interventions. © 2023 Wiley Periodicals LLC.Basic Protocol 1: Dental plaque‐on‐a‐chip in vitro model culture systemSupport Protocol: Gingival margin (GM) medium preparationBasic Protocol 2: Microcosm labeling and multispectral image acquisition