bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multifunctional Additive for Long‐Cycling Lithium‐Sulfur Batteries Under Lean‐Ether‐Electrolyte Conditions
Authors: Yang Fengyi , Qi Xiaoqun , Jiang Ruining , Jin Xiaoyu , Li Yan , Zhou Fei , Ji Jie , Zhang Renyuan , Hu Pei , Qie Long 
Published: October 2024

AbstractThe failure of lithium‐sulfur (Li‐S) batteries operating under lean‐ether‐electrolyte conditions can be ascribed to the deterioration of electrolytes, the passivation of cathodes, and the degeneration of lithium anodes. Efforts to address these challenges by exploring alternative electrolytes beyond commonly used ether‐based systems often introduce new complications. In this study, the utilization of a multifunctional additive, 2‐Bromoacetamide (BA), for ether electrolytes is proposed to achieve stable Li‐S batteries under lean‐electrolyte conditions. These investigations reveal that the amide bond in BA forms hydrogen bonds with sulfur atoms, promoting the dissolution of lithium sulfides (Li2S) in ether electrolytes and mediating the conversion of lithium polysulfides. This enhanced solubility of Li2S facilitates 3D deposition (vertical to the substrate) rather than the typical 2D deposition (parallel to the substrate) of Li2S, and thus alleviates the passivation of cathodes. Furthermore, the incorporation of BA promotes uniform and dense lithium deposition. The use of the BA‐containing electrolyte enables stable cycling of a Li‐S pouch cell for 40 cycles, even under a low electrolyte‐to‐sulfur ratio of 4 µL mg−1. This multifunctional strategy offers an effective solution to extend the lifetime of Li‐S batteries under lean‐electrolyte conditions, thereby paving the way for practical applications of Li‐S battery technology.
Promoting Layered Oxide Cathodes Based on Structural Reconstruction for Sodium‐Ion Batteries: Reversible Phase Transition, Stable Interface Regulation, and Multifunctional Intergrowth Structure
Authors: Liu Xin‐Yu , Li Shi , Zhu Yan‐Fang , Zhang Xin‐Yu , Su Yu , Li Meng‐Ying , Li Hong‐Wei , Chen Bing‐Bing , Liu Yi‐Feng , Xiao Yao 
Published: October 2024

AbstractLayered transition‐metal oxides (NaxTMO2) are one of the most promising cathode materials for sodium‐ion batteries due to their high theoretical specific capacities, good conductivity, and environmental friendliness. However, several key scientific issues of NaxTMO2 cathode materials still persist in practical applications: i) complex phase transitions during the charge/discharge process owing to the slip of the transition‐metal layer; ii) the tendency for the interface to react with the electrolyte, resulting in structure degradation, and iii) reactions between active materials and H2O as well as CO2 on exposure to air in the environment to form alkaline substances on the surface. To understand electrochemical storage mechanisms and solve these problems, several modification strategies of NaxTMO2 have been reported recently, including bulk doping, concentration gradient structure design, interface regulation, and intergrowth structure construction. This review focuses on reversible phase transitions, stable interface regulation, and multifunctional intergrowth structure of the NaxTMO2 material from the inside to the outside. The future research directions for NaxTMO2 are also analyzed, providing guidance for the development of commercial layered oxides for next‐generation energy storage systems.
Mechanical Design Principles of Conductive Gels Applied for Flexible Electronics
Authors: Fang Yuanlai , Bai Zhongxiang , Xu Weiming , Xiong Xinhong , Wei Jingjiang , Hu Qin , Wang Haibo , Cui Jiaxi 
Published: October 2024

AbstractReaping the benefits of the burgeoning investigation of gels in recent decades, flexible electronics based on conductive gels have been extensively explored. Gels consisting of polymer networks and solvents provide ideal platforms for fabricating flexible electronics due to their soft mechanical nature, excellent biocompatibility, water‐like environment, and ease of processing. The majority of investigations of flexible electronics primarily focus on functionalities such as sensing capability, energy density, luminance, fluctuating frequency, and so on, whereas the distinguishing feature of flexible electronics lies in its inherent deformable mechanics in comparison to metal‐ or semiconductor‐based stiff electronics. However, the comprehensive design and investigation of the mechanical properties of deformable conductive gels have not received sufficient attention to improve the overall performance of flexible electronics. A comprehensive summary is provided, listing six crucial mechanical parameters—stretchability, modulus, strength, elasticity, hysteresis, and fatigue—which exert significant influence on the functionalities of flexible electronics. This review aims to direct researchers’ attention toward the mechanical design of deformable conductive gels and presents representative strategies for their mechanical modulation.
A Highly Sensitive, Conductive, and Flexible Hydrogel Sponge as a Discriminable Multimodal Sensor for Deep‐Learning‐Assisted Gesture Language Recognition
Authors: Fu Yu , Yang Chen , Zhang Boqiang , Wan Zhenshuai , Wang Shuangkun , Zhang Kun , Yang Liuhua , Wei Ronghan 
Published: October 2024

AbstractFlexible multimodal sensors have gained increasing popularity for applications in healthcare and extreme environment operations owing to their all‐around environmental perception and data acquisition capabilities. However, fabricating a magnetism‐mechanics‐humidity multimodal sensor that possesses high sensitivity without signal overlapping while in a facile methodology remains a great challenge. Herein, a highly sensitive, conductive, and flexible hydrogel sponge sensor with discriminable magnetism, mechanics, and humidity sensing capability is proposed, which shows stable pore size (19.30 µm) and satisfactory mechanical properties based on the synergistic hydrogen bonding among sodium alginate, poly(vinyl alcohol) and glycerol. The proposed sensors can not only display favorable humidity sensing ability with rapid response/recovery time (2.5/4 s) but also possess enhanced sensitivities (a gauge factor of 0.46 T−1 for magnetic field, −1.16 kPa−1 for pressure), superior stability and durability (over 8000 cycles). Benefiting from the separated capacitive and resistive response signals, the sensors can precisely distinguish the magnetic, mechanical, and humidity stimuli without cross‐talk. Further, the sensor arrays assisted by the deep learning algorithm are developed to realize gesture language recognition with a high accuracy of 99.17%. It can be believed that this high‐performance sensor will have good prospects in future soft electronics and human‐machine interaction systems.
Mechanically Stable PMMA‐Based Large‐Area Nano‐Channels with Sub‐10 nm Depth
Authors: Liu Min , Reimer Tobias , Wang Yongkang , Kläui Mathias , Xing Yaowen , Gui Xiahui , Cao Yijun , Berger Rüdiger , Wang Hai , Bonn Mischa 
Published: October 2024

AbstractArtificial sub‐microfluidic and nanofluidic devices allow for studying mass or ion transport effects under spatial confinement. It remains challenging to fabricate large‐scale, nanofluidic channels of well‐defined thickness for fundamental studies and practical applications, especially for extreme confinement conditions (e.g., with sub‐10 nm channel height). Here, a strategy is reported to fabricate large‐scale nano‐channels with the channel height down to 5.0 nm. The fabrication is enabled by developing ultra‐flat and ultra‐thin polymethylmethaacrylate (PMMA) layers as the spacer. The ease of scaling up the channel length to a millimeter in the lateral dimensions with high mechanical stability is demonstrated. Furthermore, experimental evidence is provided of the role of the mechanical coupling between the spacer and capping materials in determining the device's mechanical properties, and how controlling the channel width and the top graphite thickness can be employed to tailor the device's mechanical properties. Finally, employing near‐field IR experiments, the decay constant is established for the near‐field absorption intensity of PMMA molecules inside the channel by increasing the top layer thickness. This work develops a novel method for fabricating large‐area, mechanically stable nano‐channels for nanofluidic devices and lays the foundation for further in situ spectroscopic studies of electrochemistry within sub‐10 nm confinement.
Improving Cycling Stability of Ni‐Rich Cathode for Lithium‐Metal Batteries via Interphases Tunning
Authors: Kim Hun , Kim Jae‐Min , Park Geon‐Tae , Ahn Yeon‐Ji , Hwang Jang‐Yeon , Aurbach Doron , Sun Yang‐Kook 
Published: October 2024

AbstractCombining Li‐metal anodes (LMAs) with high‐voltage Ni‐rich layered‐oxide cathodes is a promising approach to realizing high‐energy‐density Li secondary batteries. However, these systems experience severe capacity decay due to structural degradation of high‐voltage cathodes and side reactions of electrolyte solutions with both electrodes. Herein, the use of multi‐functional additives in fluoroethylene carbonate‐based electrolyte solutions that enable the operation of successfully rechargeable high‐voltage (4.5 V) Li‐metal batteries (LMBs) with high areal capacity (>4 mAh cm−2) are reported. Customized electrolyte solutions are pivotal in passivating the electrodes, minimizing microcrack formation, and ensuring that current is uniformly distributed within cathode particles. The developed electrolyte solution protects the LMA by forming a very stable and effective solid–electrolyte interphase. Together with the Li[Ni0.78Co0.1Mn0.12]O2 cathode material, which is composed of radially aligned rod‐shaped primary particles, the developed high‐voltage LMB containing 20 mg cm−2 of cathode material delivers a high specific capacity of 230 mAh g−1 at 0.1 C and retains >86% of its initial capacity after 200 cycles at 0.5 C. This study highlights the significance of controlling the interfacial structure via electrolyte solution modification and the use of cathode materials with engineered morphologies that enhance mechanical stability.
More ESG Practices, Higher Financial Performance? The U‐Shaped Pattern in China's Agricultural and Food Firms
Authors: Zhang Yanyan , Xiong Tao 
Published: October 2024

ABSTRACTESG (environmental, social, and governance) practices, an internationally recognized concept of a firm's sustainability, can serve as a bridge to enhance effective communication between firms and various stakeholders. It is also a new tool for measuring firms' value. This study employs a balanced panel data set of 114 publicly traded agricultural and food firms in China from 2016 to 2022. It empirically investigates the relationship between ESG and financial performance based on shareholder primacy theory and stakeholder theory. Employing a two‐way fixed effects (FE) model, our findings reveal a U‐shaped nonlinear pattern in how ESG impacts financial performance. It differs from previous studies that found predominantly positive relationships: Specifically, the average ESG score for firms is 0.396, the median is 0.390, and the inflection point of the U‐shape occurs at 0.53. When firms' ESG investments are less than 0.53, the high initial ESG cost makes it difficult to transform ESG into financial improvement. However, once this threshold is surpassed, good ESG can convey an excellent reputation to the public and increase anti‐risk ability—which, in turn, significantly improves firms' financial performance and facilitates long‐term development. Also, our study demonstrates that firms' ownership and different positions in the supply chain differentially affect the relationship between ESG and financial performance. This paper also offers insights into promoting the sustainable development of Chinese agri‐food firms.
A Methodological Approach to Prioritize Digital Twin Development in Manufacturing
Authors: Blasco Román Sara , Böttjer Till 
Published: October 2024

ABSTRACTThe digital age has brought about a need for organizations to utilize Digital Twins to improve operational efficiency and decision‐making. However, it is difficult for companies to identify and prioritize Digital Twin initiatives that meet the needs of their stakeholders and align with the capabilities of the company and its strategic plans. This paper proposes a methodology for the systematic identification and prioritization of Digital Twin applications in complex industrial settings. The methodology begins by documenting business requirements, current processes, and challenges, and subsequently identifying areas with potential benefits from Digital Twins through the use of an opportunity scoring system. To refine the portfolio of Digital Twin applications to include only those that are impactful and viable, the feasibility of Digital Twin is quantified by evaluating technological (technical capacity and digital skills), organizational, and project risk factors. To validate the proposed methodology, a case study was conducted in collaboration with an industrial partner specializing in injection molding. This real‐world application demonstrates the effectiveness of our approach in identifying and prioritizing Digital Twin applications in a complex industrial context. This research contributes to the growing body of knowledge surrounding Digital Twins, providing organizations with a structured approach to leverage the potential of this transformative technology.
Model Averaging for Estimating Treatment Effects With Binary Responses
Authors: Cui Guangyuan , Li Na , Wan Alan T. K. , Zhang Xinyu 
Published: October 2024

ABSTRACTIn this article, we present a novel approach for estimating the conditional average treatment effect in models with binary responses. Our proposed method involves model averaging, and we establish a weight choice criterion based on jackknife model averaging. We analyze the theoretical properties of this approach, including its asymptotic optimality in achieving the lowest possible squared error and the convergence rate of the weights assigned to correctly specified models. Additionally, we introduce a new matching method that combines partition and nearest neighbor pairing, leveraging the strengths of both techniques. To evaluate the performance of our method, we conduct comparisons with existing approaches via a Monte Carlo study and a real data analysis. Overall, our results demonstrate the effectiveness and practicality of our proposed approach for estimating the conditional average treatment effect in binary response models.
The Risk of Exacerbation of Myasthenia Gravis After COVID‐19 Omicron Infection
Authors: Zhang Nana , Wang Ziya , Sun Dongren , Chen Hongxi , Zhou Hongyu 
Published: October 2024

ABSTRACTObjectiveThe aim of this study is to ascertain whether COVID‐19 Omicron infection is associated with exacerbations in these myasthenia gravis (MG) patients.ResultIn total, 289 MG patients (comprising 60% females, with an average age of 46 ± 15 years) were enrolled. A total of 80.9% of MG patients reported a COVID‐19 infection, with the majority experiencing a benign course (88%). MG patients who experienced COVID‐19 infection demonstrated a higher likelihood of MG exacerbation, compared to those without the infection (18.8% vs. 7.3%, p = 0.039). In the survival analysis, after adjusting for confounding factors, the hazard ratio (HR) for exacerbation post‐infection was found to be 3.38 (95% CI 1.20–9.53, p = 0.021). Compared to the exacerbation rates observed in JTA21, an increase was noted in DTM23 among COVID‐19‐infected MG patients (4.4% vs. 17.2%, p < 0.001).ConclusionThe COVID‐19 is the risk of MG exacerbation.
Facile minocycline deployment in gingiva using a dissolvable microneedle patch for the adjunctive treatment of periodontal disease
Authors: Li Huimin , Wen Xueyu , Gong Xinyi , Wu Yange , Zhao Puxuan , Zhang Yun , Sha Zhuomin , Chang Hao , Chen Xuepeng 
Published: October 2024

AbstractMinocycline is a commonly used drug for adjunctive therapy in periodontal disease. However, the current mainstream local medications primarily rely on intra‐pocket administration, which, while avoiding the side effects of traditional systemic drugs, presents challenges such as inconvenience, discomfort, and the need for professional assistance, thus affecting patient compliance. Herein, we introduce a minocycline‐loaded dissolvable microneedle (Mino‐DMN) patch that allows for local and efficient delivery of minocycline to gingiva for the treatment of periodontitis. A two‐step casting micro‐molding process involving vacuum drying and freeze drying is employed to concentrate minocycline in the microneedle part and limit its diffusion into the patch backing. The resulting Mino‐DMN patch features an array of minocycline‐enriched gelatin MNs with a porous HA patch backing. The microneedles can penetrate into gingiva with enough mechanical strength and quickly release minocycline into the gingival tissue, ensuring prolonged local residence of the drug and minimizing its loss to saliva. In vivo experiments show Mino‐DMN inhibits pro‐inflammatory factors, promotes anti‐inflammatory factors, and stimulates bone formation, surpassing topical application and comparable to the inconvenient and discomfort administration of Periocline®. This proposed Mino‐DMN offers a simple, efficient, user‐friendly strategy for the adjunctive treatment of periodontal disease.
The supervision of experienced secondary school‐based counsellors: A situational analysis constructivist grounded theory exploration of best practice
Authors: Harries Imogen 
Published: October 2024

AbstractIntroduction and AimsSecondary school‐based counselling (SSBC) is used widely throughout the United Kingdom (UK) as an early mental health intervention, and clinical supervision is necessary for its safe and effective practice. Currently, there does not exist a body of research to inform best practice in this area of supervision. The purpose of this study was to explore the supervisory requirements of the experienced secondary school‐based counsellor and what best practice looks like.MethodThis study used situational analysis constructivist grounded theory methodology to explore and develop a grounded theory of best practice in supervising the experienced secondary school counsellor in the UK. The descriptions of best practice were examined from the interviews of 17 experienced secondary school counsellors and/or supervisors.FindingsFrom the data emerged one core category (‘a good fit’) which encapsulated four theoretical categories (‘the supervisory relationship’, ‘understanding the working context’, ‘safeguarding’ and ‘the shared supervisory journey’). The study indicates that the supervisor needs an understanding of the unique context of the secondary school as a therapist's working environment in order to support the supervisee with often complex work. There needs to be an awareness of how elements from within the school and/or counselling agency can impact on the supervision regarding boundaries, trust and containment so they do not impact the supervision in a detrimental way.ConclusionsSupervisor and supervisee need a shared understanding of the nature of supervision within this context for it to be a ‘good fit’ for both. This has implications for supervision training and the externality of supervision within this context.
Endocapillary proliferative glomerulonephritis associated with Q fever endocarditis: A case report
Authors: Coorey Craig Peter , James William , Manickavasagam Venkat , Chen Jason , Baweja Sanjeev 
Published: October 2024

Key Clinical MessageAcute Coxiella burnetti (Q fever) infection is known to activate the autoimmune inflammatory response. We report a rare case of glomerulonephritis associated with the Coxiella infection. An elderly male first presented with recurrent fevers of unknown origin and was subsequently diagnosed with Q fever infection and treated with doxycycline. He represented 2 months later with an acute kidney injury and active urinary sediment. Renal biopsy demonstrated a mesangiopathic pattern with staining for both C1q and IgM, raising possibilities of infection‐related glomerulonephritis, C1q nephropathy and lupus nephritis. This case demonstrates glomerulonephritis as a complication of Q fever infection and the differential diagnosis and workup up that needs to be considered in cases of chronic Q fever.
Amoxicillin and lamotrigine‐induced DRESS syndrome: A case report
Authors: Demas Nicholas , Shaikh Mohammad Baseem 
Published: October 2024

Key Clinical MessageThis case demonstrated with importance of recognizing DRESS syndrome presenting without the typical eosinophilia due to possible cross‐reactivity between amoxicillin and the well‐documented inciting medication lamotrigine. Steroid tapering is an effective treatment, but medication avoidance should be stressed to avoid symptom recurrence.
Employing empirical models to analyze stability of yield and quality traits in chili peppers (Capsicum species)
Authors: Subhavyuktha S. , Usha Nandhini Devi H. , Kumar K. K. , Vethamoni P. Irene , Premalatha N. , Srividhya S. 
Published: October 2024

AbstractStability analysis plays a crucial role in plant breeding programs aimed at enhancing crop productivity and resilience. Chili yield stability studies based on the interaction of genotype × environment have been widely conducted, as stable yield is very substantial in the formation of sustainably high‐yielding chili varieties. Multi‐environmental trials, conducted across different seasons, locations, or both, are used to assess these G × E interactions through various statistical models. In this context, this review paper explores the understanding of stability analysis in chili breeding, the significance of genotype by environment interaction, and the methods employed in this domain, providing a comprehensive update on recent advancements in stability analysis specific to chili breeding. Furthermore, research studies conducted on stability analysis in chili breeding programs and software used to assess crop stability are featured, shedding light on the application, challenges, and future prospects in the field. The importance of stability analysis in developing stable genotypes and enhancing agricultural productivity amid evolving environmental conditions is herewith underscored. These insights are critical for breeding programs aiming to create robust genotypes capable of adapting to changing environmental conditions, ultimately contributing to more sustainable agricultural practices.