bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of the hard‐soft acid–base principle in plasma‐in‐liquid processing
Authors: Kanno Moriyuki , Ito Tsuyohito , Terashima Kazuo 
Published: December 2023

AbstractPlasma, owing to its reactivity and nonequilibrium properties, is a unique field commonly used in material processing. In recent years, plasma processing with a liquid phase has attracted considerable attention owing to its important advantages, such as high electron density and the availability of a wide variety of reactions in solutions. However, plasma‐in‐liquid material synthesis is occasionally difficult to control and guidelines are lacking. In this study, we investigated whether the hard‐soft acid–base (HSAB) principle, which is often applied in material synthesis, is applicable to the plasma‐in‐liquid process and demonstrated that organic solvent‐derived substances produced by plasma‐in‐liquid processing reacted with solutes according to the HSAB principle. These results suggest that the HSAB principle may apply to plasma‐in‐liquid processing.
Evaluation ofAlphaFoldantibody–antigen modeling with implications for improving predictive accuracy
Authors: Yin Rui , Pierce Brian G. 
Published: December 2023

AbstractHigh resolution antibody–antigen structures provide critical insights into immune recognition and can inform therapeutic design. The challenges of experimental structural determination and the diversity of the immune repertoire underscore the necessity of accurate computational tools for modeling antibody–antigen complexes. Initial benchmarking showed that despite overall success in modeling protein–protein complexes, AlphaFold and AlphaFold‐Multimer have limited success in modeling antibody–antigen interactions. In this study, we performed a thorough analysis of AlphaFold's antibody–antigen modeling performance on 427 nonredundant antibody–antigen complex structures, identifying useful confidence metrics for predicting model quality, and features of complexes associated with improved modeling success. Notably, we found that the latest version of AlphaFold improves near‐native modeling success to over 30%, versus approximately 20% for a previous version, while increased AlphaFold sampling gives approximately 50% success. With this improved success, AlphaFold can generate accurate antibody–antigen models in many cases, while additional training or other optimization may further improve performance.
Risk assessment of LNG bunkering vessel operation based on formal safety assessment method
Authors: Wang Yunlong , Cha Zhiqiang , Liang Guopeng , Zhang Xin , Li Kai , Guan Guan 
Published: December 2023

AbstractWith the increase of Liquefied Natural Gas (LNG) fuel‐powered vessels, LNG bunkering vessels have become an important development direction of LNG bunkering technology for its advantages. However, the LNG bunkering vessel operation risk assessment is relatively few. Formal Safety Assessment (FSA) is a novel structured and systematic risk analysis method for Marine engineering, through the data analysis based on probability theory, people can foresee the risk before the accident and take measures to reduce the risk and avoid heavy loss. In this paper, the LNG bunkering vessel operation process is divided into four subprocesses: the loading process, the navigation process, the bunkering process, and the anchoring process. The FSA method is used to identify and evaluate the risks in each process, judge the negligible risk, reasonable and feasible low risk, unacceptable risk, and put forward corresponding safe measures to provide safety guarantees for the operation of LNG bunkering vessels. Through the standardized assessment steps of FSA, a risk model for the LNG bunkering vessel operation process is established, and reasonable suggestions and measures that can effectively control the risk of the LNG bunkering vessel operation process are proposed, the research results of this paper can provide important technical guidance and reference value for the safe operation of LNG bunkering vessel.
A ScWIP5 gene confers fall armyworm resistance by reducing digestive enzyme activities in sugarcane
Authors: Wang Ya‐ru , Yao Yang , Chen Yao‐hui , Huang Cheng , Guo Yan‐fang , Fang Yong , Gao San‐ji , Hou You‐ming , Wang Jin‐da 
Published: December 2023

AbstractBACKGROUNDThe fall armyworm, Spodoptera frugiperda, is one of the most dangerous pests to various crops. As the most crucial sugar crop, sugarcane is also constantly threatened by these pests. Plant wound‐induced proteinase inhibitors (WIP) are natural defense proteins that play important roles in the defense system against insect attack. Breeding for resistance would be the best way to improve the variety characteristics and productivity of sugarcane. Screening and verification for potential plant endogenous insect‐resistant genes would greatly improve the insect‐resistant breeding progress of sugarcane.RESULTSA sugarcane WIP5 gene (ScWIP5) was up‐regulated 536 times after insect feeding treatment on previous published transcriptome databases. ScWIP5 was then cloned and its potential role in sugarcane resistance to fall armyworm evaluated by construction of transgenic Nicotiana benthamiana. The toxicity of ScWIP5 transgenic N. benthamiana to fall armyworm showed lower weight gain and higher mortality compared to wild‐type N. benthamiana feeding group. Furthermore, the concentration of JA and NbAOC, NbAOS, and NbLOX from the Jasmin acid biosynthesis pathway was significantly induced in ScWIP5 transgenic N. benthamiana compared to the control. In addition, digestive enzyme actives from the insect gut were also evaluated, and trypsin and cathepsin were significantly lower in insects fed with ScWIP5 transgenic N. benthamiana.CONCLUSIONThese results indicate that ScWIP5 might enhance insect resistance by increasing JA signal transduction processes and reducing insect digestive enzyme activities, thus impacting insect growth and development. © 2023 Society of Chemical Industry.
Benefits of Open Quantum Systems for Quantum Machine Learning
Authors: Olivera‐Atencio María Laura , Lamata Lucas , Casado‐Pascual Jesús 
Published: December 2023

AbstractQuantum machine learning (QML) is a discipline that holds the promise of revolutionizing data processing and problem‐solving. However, dissipation and noise arising from the coupling with the environment are commonly perceived as major obstacles to its practical exploitation, as they impact the coherence and performance of the utilized quantum devices. Significant efforts have been dedicated to mitigating and controlling their negative effects on these devices. This perspective takes a different approach, aiming to harness the potential of noise and dissipation instead of combating them. Surprisingly, it is shown that these seemingly detrimental factors can provide substantial advantages in the operation of QML algorithms under certain circumstances. Exploring and understanding the implications of adapting QML algorithms to open quantum systems opens up pathways for devising strategies that effectively leverage noise and dissipation. The recent works analyzed in this perspective represent only initial steps toward uncovering other potential hidden benefits that dissipation and noise may offer. As exploration in this field continues, significant discoveries are anticipated that could reshape the future of quantum computing.
Influence of the Electrocatalytic Anode Nature on Dye Destruction
Authors: Dimoglo Anatoli , Utlu Birkan , Öztürk Dilara , Gökmen‐Erdogan Kubra 
Published: December 2023

AbstractIn order to extract a highly concentrated dye from textile industry wastewater, an electrocatalytic oxidation method based on Ru/Ir/Ti, RuO2/IrO2/TiO2 electrodes and high‐density graphite was used. Optimization of the oxidation process was controlled by varying such parameters as current density, pH, concentration of supporting electrolyte (NaCl), wastewater treatment time. The maximum dye removal from wastewater is achieved at pH 7.1, current density 70 mA cm−2, NaCl concentration 3 g/L, and treatment time 15 minutes. Among the investigated electrodes, the Ru/Ir/Ti anode and titanium‐based oxides of these metals proved to be the most effective. The percentage of color removal for all anodes increases with increasing current density and duration of solution treatment. For a graphite electrode, at a current density of 70 mA cm−2 and a treatment time of 10 minutes, a maximum dye removal of 90 % is achieved. The percentage of color removal for Ru/Ir/Ti and RuO2/IrO2/TiO2 electrodes is higher than for graphite and amounted to 98 % and 92 %, respectively. The results of the electronic structure of the dye made it possible to shed light on the nature of the electronic spectra and the possible mechanism of the electrocatalytic act. Consideration of the dependence of color removal, COD and TOC on such parameters as current density, water treatment time in the reactor showed that the efficiency of the wastewater treatment process increases in the series: graphite<RuO2/IrO2/TiO2<Ru/Ir/Ti. The role of various factors of RedOx processes that affect the degree of dye degradation, as well as chloride ions on the formation of active particles with high chemical energy at the moment of their formation, is discussed.
Graphene‐Based Enzymatic and Non‐Enzymatic Electrochemical Glucose Sensors: Review of Current Research and Advances in Nanotechnology
Authors: Qurat‐ul‐Ain  , Mahmood Khan RanaRashad , Pervaiz Muhammad , Saeed Zohaib , Majid Abdul , Liaqat Maira 
Published: December 2023

AbstractThe determination of the body's glucose level is a difficult job that has served as the foundation for substantial research efforts in biosensing applications. Recent advances in material engineering and synthesis methodologies have had a significant influence on the development of enzymatic and non‐enzymatic sensors for glucose detection that may be used in managing diabetes, food technology, and clinical, and bio‐processing applications. The intricate fabrication, detecting principles and phenomena involved, material alterations, and design to improve sensor performance. There is a great need for high‐efficiency, low‐cost blood glucose sensors that may be used on industrial and domestic scales. This review is primarily intended to shed light on the current state of knowledge about the use of graphene. The performance of non‐enzymatic glucose sensors is comprehensively compared with that of enzymatic electrochemical sensors based on graphene. This study will go over the research efforts that have been conducted to build biosensors employing nanostructures such as carbon nanotubes, graphene, metal nanoparticles, metal oxides, and metal sulfides. The manufacturing of the very sensitive enzyme‐free glucose biosensor will be thoroughly discussed. A thorough examination of the use of graphene as a co‐catalyst to improve the sensitivity of electrochemical sensors for glucose detection is also provided.
Comment on “An Injectable Hydrogel to Modulate T Cells for Cancer Immunotherapy”
Authors: Lin Liangbin , Zhang Sunfu , Yang Wenyong 
Published: December 2023

AbstractRecent clinical successes of immune checkpoint blockade (ICB) therapies represents a milestone as a novel anti‐tumor strategy beyond surgery, radiotherapy, chemotherapy, and targeted therapy in cancer therapy. T cells, especially CD8+ T cells, play crucial roles in anti‐tumor immune responses. However, most T cells in the tumor microenvironment express high inhibitory receptors, such as PD‐1, TIM‐3, and LAG‐3, and decreased T cell response in response to stimuli. Applying ICB therapies, such as anti‐PD‐1, promotes T cell activation and increases cytotoxic T lymphocyte (CTL) response, leading to the enhanced anti‐tumor immune response in patients with malignancy. Therefore, studies aimed to define novel targets that can restrain T cell terminal exhaustion are urgently required to provide new strategies for patients resistant to immunotherapy. The previously published study by Zhang et al. (An Injectable Hydrogel to Modulate T Cells for Cancer Immunotherapy, https://doi.org/10.1002/smll.202202663) introduces a new type of injectable hydrogel that can regulate the function of T cells, thereby improving their effectiveness in cancer immunotherapy. However, it remains to be discussed for its conclusion, as the flow cell assay of this article may not be proper.
Nano‐Si for On‐Demand H2 Production: Optimization of Yield and Real‐Time Visualization of Si─H2O Reaction Using Liquid‐Phase Transmission Electron Microscopy
Authors: Mitra Arijit , Kuo Hsueh‐Yuan , Huang Jun‐Han , Rachel Gunalan , Chu Wen‐Huei , Chiu Wei‐Cheng , Kuo Jenn‐Kun , Liu Chuan‐Pu 
Published: December 2023

AbstractHydrogen (H2), the most abundant element in the universe, has the potential to address the challenges of energy security and climate change. However, due to the lack of a safe and efficient method for storing and delivering hydrogen, its practical application is still in its infancy stages. To overcome this challenge, a promising solution is demonstrated in the form of on‐demand production of H2 using nano‐Silicon (Si) powders. The method offers instantaneous production of H2, yielding a volume of 1.3 L per gram of Si at room temperature. Moreover, the H2 production yield and the rate can be effectively controlled by adjusting the reaction pH value and temperatures. Additionally, liquid‐phase transmission electron microscopy (LPTEM) is utilized in situ to demonstrate the entire reaction in real‐time, wherein H2 bubble formation is observed and illustrated the gradual conversion of crystalline Si particles into amorphous oxides. Moreover, it is confirmed that the purity of the generated gas is 99.5% using gas chromatography mass spectrometry (GC‐MS). These findings suggest a viable option for instant H2 production in portable fuel cells using Si cartridges or pellets.
Triboelectrification and Unique Frictional Characteristics of Germanium‐Based Nanofilms
Authors: Xu Chaochen , Egberts Philip 
Published: December 2023

AbstractIn this study, germanium arsenide (GeAs) is investigated as a promising nanomaterial for application in triboelectric nanogenerators and green energy harvesting. The mechanical and electrical properties of mechanically exfoliated GeAs on silica substrates are evaluated through friction force microscopy and Kelvin probe force microscopy, respectively. First, it is observed that the surface potential/work function of GeAs varied with thickness. Second, thickness‐dependent friction on GeAs films is found. However, the variation of friction with GeAs thickness followed an inverse trend typically observed for most other 2D material systems: larger friction is measured on thicker GeAs films. The higher friction is attributed to the higher surface potential of thicker GeAs, resulting from the accumulation of electrons on the GeAs surface that also resulted in higher adhesion between GeAs surface and the tip. Finally, history‐dependent friction is observed and resulted from a continual increase in the friction force as the surface is scanned and originated from the triboelectrification of the surface. The dynamic triboelectrification behavior of thick GeAs during the scanning process is further verified and visualized by a serial experiment, where the GeAs is tribo‐electrified through scanning and gradually de‐electrified/discharged upon ceasing the scan.
Doing Reflexive Migration Research in Cultural Institutions: Some Thoughts on Critical Knowledge Production
Authors: Gram Rikke , Bädeker Lars , Schmiz Antonie 
Published: December 2023

AbstractThis contribution focuses on the possibilities and restrictions of studying change in cultural institutions from the perspective of migration research. To elaborate on the main argument of the chapter – that knowledge production is relational and situated – we draw on the reflexive turn in migration studies. This helps us to examine major societal institutions and the changes they are undergoing and thus to broaden the scope beyond the migrant subject. Furthermore, it enables us to develop a relational perspective on our positionality as researchers – of (not) becoming part of these researched institutions – and to focus on power relations within the institutions. By drawing on two cases in the German cities of Osnabrück and Dresden, we contrast a research setting that was easily accessible, flexible and open for change with one in which access meant overcoming a number of hurdles and being on the lower end of a hierarchical organisation that was partly resistant to a reflective researcher. From our ethnographic fieldwork in both case studies, we draw several conclusions. First, the initial contact with the institutions is very important; second, the local embeddedness and networks of the institution are of importance; and, third, the positionality of the researcher plays a major role in the outcome of the study. In so doing, the article argues for the embedding of reflexivity in the role of entanglement and positionality when generating knowledge on change and migration in cultural institutions.
Informationen zu Gesundheitsförderung und Prävention auf den Webseiten baden-württembergischer Gesundheitsämter – eine erste Annäherung
Authors: Mangold Jasmin , Hesmert Daniela , Siegel Achim , Klein Anika J. , Häske David , Wössner Sofie , Rieger Monika A. , Joos Stefanie , Mahler Cornelia 
Published: December 2023

ZusammenfassungHintergrundGesundheitsförderung und Prävention zählen zu den Kernaufgaben des Öffentlichen Gesundheitsdienstes. Von zentraler Bedeutung für ihre Wirksamkeit ist u. a. die Gesundheitskommunikation. Da sich das Internet zu einer wichtigen Quelle für Gesundheitsinformationen entwickelt hat und die Gesundheitsämter immer mehr im Interesse der Öffentlichkeit stehen, rücken auch ihre Webseiten mehr in den Fokus. Vor diesem Hintergrund wurde der Frage nachgegangen, wie Gesundheitsämter die Thematik der Gesundheitsförderung und Prävention nicht übertragbarer Erkrankungen (GuPnüE) über ihre Webseiten darstellen.MethodenDie Webseiten der 38 baden-württembergischen Gesundheitsämter wurden von Juni bis Oktober 2022 mittels qualitativer Inhaltsanalyse untersucht. Die Darstellung der Thematik der GuPnüE über die Webseiten sowie präsentierte Maßnahmen der GuPnüE wurden erfasst. Es wurden die adressierte Zielgruppe, das Thema und die Interventionsform für jede Maßnahme erhoben.ErgebnisseAuf allen Internetauftritten (n = 38) wurde die Thematik der GuPnüE aufgegriffen, die Darstellungsform war heterogen. Insgesamt wurden 243 GuPnüE-Maßnahmen über die 38 Internetauftritte identifiziert. Es zeigte sich ein breites Spektrum der in den dargestellten Maßnahmen bearbeiteten Themen, der adressierten Zielgruppen und genutzten Interventionsformen.DiskussionDie Studie zeigt eine umfangreiche jedoch heterogene Darstellung der GuPnüE auf den Internetauftritten der Gesundheitsämter. Dabei bewegen diese sich im Spannungsfeld zwischen Anforderungen von Öffentlichkeitsarbeit und Gesundheitsinformation. Die Nutzung von Synergieeffekten durch die gemeinsame Bewerbung von überregional relevanten Materialien und Maßnahmen könnte Vorteile für die Gesundheitsämter mit sich bringen.
Availability of medical care and social support from the perspective of women with breast cancer during the COVID-19 pandemic
Authors: Szymanowicz Paulina Aleksander , Janus Edyta 
Published: December 2023

Abstract
Aim
This article describes the situation of women with breast cancer during the pandemic. The study assessed the accessibility of oncological care, experienced stress, and use of social support.

Subject and methods
The study involved 158 women with breast cancer who lived in Poland. Purposive sampling was used. The research method was a diagnostic poll, and the research tool was a survey questionnaire designed by the authors of this study.

Results
The results showed that the pandemic was an additional aggravating factor for the participants, was associated with difficulties accessing medical care, and generated anxiety related to potential hospitalization and the resulting limited contact with loved ones. All participants were concerned that they might be unable to continue treatment. Family situation did not affect the level of stress, but was associated with seeking social support. Participants living alone sought support outside their families more often. The use of psychological care differed depending on place of residence: participants living in large cities used it more often than participants living in medium-sized and small cities and villages.

Conclusion
Breast cancer is a highly aggravating factor that was further exacerbated during the COVID-19 pandemic.
Investigating the usability of a new framework for creating, working and teaching artificial neural networks using augmented reality (AR) and virtual reality (VR) tools
Authors: Kiraly Roland , Kiraly Sandor , Palotai Martin 
Published: December 2023

AbstractDeep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all computer science courses. Our objectives in this project were to create a framework for creating and training neural networks for solving different problems real-life problems and for research and education, as well as to investigate the usability of our framework. To provide an easy to use framework, this research recruited five instructors who have taught ANNs at two universities. We asked thirty-one students who have previously studied neural networks to fill out an online survey about what were "the major difficulties in learning NNs" and the "key requirements in a Visual Learning Tool including the most desired features of a visualization tool for explaining NNs" they would have used during the course. We also conducted an observational study to investigate how our students would use this system to learn about ANNs. The visual presentation of ANNs created in our framework can be represented in an Augmented Reality (AR) and Virtual Reality (VR) environment thus allowing us to use a virtual space to display and manage networks. An evaluation of the effect of the AR/VR experience through a formative test and survey showed that the majority of students had a positive response to the engaging and interactive features of our framework (RKNet).
A systematic review and meta-analysis of procedural justice and legitimacy in policing: the effect of social identity and social contexts
Authors: Chan Angus , Bradford Ben , Stott Clifford 
Published: December 2023

AbstractObjectivesTo systematically review the effect of social identity and social contexts on the association between procedural justice and legitimacy in policing.MethodsA meta-analysis synthesising data from 123 studies (N = 200,966) addressing the relationship between procedural justice and legitimacy in policing. Random effects univariate and two-stage structural equation modelling meta-analyses were performed.ResultsBoth procedural justice and social identity are found to be significantly correlated with police legitimacy. Moreover, social identity significantly mediates, but does not moderate, the association between procedural justice and legitimacy. People of younger age and from more developed countries tend to correlate procedural justice stronger with police legitimacy.ConclusionThis study demonstrates that social identity is an important antecedent of legitimacy and a critical factor in the dynamics of procedural fairness in policing. It also shows that the extent to which procedural justice and legitimacy are correlated varies across social groups and contexts. The theoretical implications of our findings are discussed.