bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microwave Investigation of DMSO‐Doped PEDOT:PSS Patch Resonators Under Varying Relative Humidity
Authors: Dordanihaghighi Marzieh , Arjmand Mohammad , Zarifi Mohammad H. 
Published: August 2024

AbstractPoly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) is a conductive polymer widely used in various microwave sensing components. Enhancing the efficiency of PEDOT:PSS‐based microwave structures relies on improving the polymer's conductivity, achievable by adding secondary solvents such as dimethyl sulfoxide (DMSO), which significantly boosts the electrical conductivity. However, the performance of DMSO‐doped PEDOT:PSS films in microwave regime requires investigations. Herein, patch resonators are fabricated using solution processing of aqueous dispersion of PEDOT:PSS doped with varying concentrations of DMSO from 0 to 8 wt.% to investigate their microwave behavior within the frequency range of 4.5–6.5 GHz. The PEDOT:PSS patch structures are implemented on a glass substrate and their resonant characteristics, including resonant frequency and amplitude, are studied in response to varying relative humidity (RH) levels ranging from 0% to 70%. The significant variations in the microwave responses are observed at the resonant amplitude, confirming the main impact of humidity on the conductivity of the films. According to the measured results, the 2 wt.% doped patch shows greater sensitivity to the changes to the RH in contrast to the 8 wt.% doped patches, where the response shows less sensitivity to the humidity variation. The results indicate that a lower percentage of DMSO enhances sensitivity to the humidity at the cost of increased electromagnetic loss in the resonant patch structures for humidity sensing applications.
Pulsed‐Laser Deposition of Ge‐Doped BiTe Nanofilms and Their Application in Room‐Temperature Long‐Wave Infrared Photodetection
Authors: Wang Wan , Wang Ximiao , Yao Jiandong , Chen Huanjun , Yang Guowei 
Published: August 2024

AbstractLong‐wave infrared photodetectors play an indispensable role in a variety of fields such as science, technology, engineering, and medicine. However, to date, most conventional long‐wave infrared photodetectors need to be operated under low temperature to meet the performance requirements. This can lead to a series of problems such as large device volume and high operating cost. Therefore, it is urgent to explore novel long‐wave photosensitive materials. In recent years, the development of nanotechnology has opened a new door for long‐wave infrared photodetection. Herein, pulsed‐laser deposition is successfully applied to the preparation of Ge‐doped BiTe (GBT) thin films. Importantly, the corresponding GBT photodetector exhibits excellent long‐wave infrared photosensitivity. Specifically, upon 10.5 µm illumination, the responsivity, external quantum efficiency, and detectivity reach 1.41 mA W−1, 0.017%, and 1.96 × 106 Jones, respectively. Moreover, a fast response rate with the rise/decay time down to 42.5/41.1 µs is realized. On this basis, the GBT photodetector is used as the receiving unit for optical signals to achieve proof‐of‐concept long‐wave optical information transmission application. On the whole, this study provides a new material platform for long‐wave optoelectronic sensing.
Tailoring Co‐Free LiNi0.5Mn1.5O4 Material for High‐Voltage Lithium‐Ion Batteries: Particle Design & Grain Boundary Engineering
Authors: Nisar Umair , Reichel Benedikt , Mundszinger Manuel , Wohlfahrt‐Mehrens Margret , Hölzle Markus , Axmann Peter 
Published: August 2024

AbstractCobalt‐free LiNi0.5Mn1.5O4 (LNMO) is a promising cathode material for high‐energy and power‐density lithium‐ion batteries (LIBs). However, its commercial adoption is hindered by rapid capacity degradation due to the unstable LNMO/electrolyte interface caused by LNMO's high operating voltage. Structural degradation from Jahn–Teller distortion and metal‐ion dissolution also contributes to poor cycling stability. Additionally, producing industrial‐grade LNMO with high tap density, low surface area and reduced metal‐ion dissolution is challenging. This study addresses these challenges through a rational material design approach, synthesizing LNMO with large spherical secondary particles (>14.0 µm) and high tap density (>2.0 g cm−3). The primary particles (1.5–6.0 µm) exhibit a truncated‐octahedral shaped morphology that predominantly exposes (111) surface facets, with fewer (100) surfaces, stabilizing the LNMO/electrolyte interface, reducing metal dissolution, and enhancing lithium‐ion kinetics. Silicon infusion into grain boundaries further improves structural integrity by forming a silicon‐rich phase. The tailored LNMO demonstrates exceptional rate capability, cycling stability, and improved interfacial kinetics, significantly advancing the potential for cobalt‐free LNMO in high‐voltage LIBs. This work highlights the importance of tailored cathode material design for achieving the performance and stability required for emerging high‐voltage LIBs applications.
Tailoring the Electrode‐Electrolyte Interface for Reliable Operation of All‐Climate 4.8 V Li||NCM811 Batteries
Authors: Yang Wujie , Zhang Zhenjie , Sun Xinyi , Liu Yiwen , Sheng Chuanchao , Chen Aoyuan , He Ping , Zhou Haoshen 
Published: August 2024

AbstractCombining high‐voltage nickel‐rich cathodes with lithium metal anodes is among the most promising approaches for achieving high‐energy‐density lithium batteries. However, most current electrolytes fail to simultaneously satisfy the compatibility requirements for the lithium metal anode and the tolerance for the ultra‐high voltage NCM811 cathode. Here, we have designed an ultra‐oxidation‐resistant electrolyte by meticulously adjusting the composition of fluorinated carbonates. Our study reveals that a solid‐electrolyte interphase (SEI) rich in LiF and Li2O is constructed on the lithium anode through the synergistic decomposition of the fluorinated solvents and PF6− anion, facilitating smooth lithium metal deposition. The superior oxidation resistance of our electrolyte enables the Li||NCM811 cell to deliver a capacity retention of 80 % after 300 cycles at an ultrahigh cut–off voltage of 4.8 V. Additionally, a pioneering 4.8 V‐class lithium metal pouch cell with an energy density of 462.2 Wh kg−1 stably cycles for 110 cycles under harsh conditions of high cathode loading (30 mg cm−2), low N/P ratio (1.18), and lean electrolytes (2.3 g Ah−1).
Preparation of thermally conductive polyimide/aluminum oxide/boehmite composite separators for enhancing lithium‐ion battery safety and performance
Authors: Haolin Dong , Cui Weiwei , Yunlong Huang , Xin Chen , Yubo Ding 
Published: August 2024

AbstractThis study endeavors to enhance the safety of lithium‐ion batteries (LIBs) by synthesizing a polyamide acid (PAA)/Al2O3 composite spinning solution using 4,4′‐diaminodiphenyl ether (ODA) and pyromellitic anhydride (PMDA) as monomers, and nano‐Al2O3 as a thermal conductivity filler. Subsequently, the PAA/Al2O3 fiber membrane is fabricated via electrostatic spinning, followed by gradient heating imidization to produce a polyimide (PI)/Al2O3 composite membrane. This membrane is then dipped into a boron nitride (BM) slurry to ultimately yield an organic–inorganic PI/Al2O3/BM composite separator with superior flame‐retardant and thermal conductivity properties. The thermal stability, flame retardancy, electrolyte wettability, mechanical integrity, and cycle rate performance of the composite membranes are rigorously evaluated. The results demonstrate that the PI/5% Al2O3/BM composite membrane exhibits the most favorable overall performance, with no shrinkage observed at 200°C and no significant changes after sustained ignition for 10 s. The incorporation of the thermal conductivity Al2O3 filler significantly enhances the heat transfer properties of the composite separator. The room temperature ionic conductivity reaches 2.786 mS cm−1 after electrolyte absorption, and the initial discharge capacity of the assembled battery is 156.28 mAhg−1. Following 100 charge/discharge cycles at 0.2C, the capacity retention rate is 97.7%, and at a discharge rate of 5C, the capacity retention rate is 74.9%.
Synergistically enhanced dielectric properties and thermal conductivity in percolating flaky copper/poly(vinylidene fluoride) nanocomposites via engineering magnesium oxide as a buffer interlayer
Authors: Chen Xiaolong , Zhou Wenying , Meng Xingxing , Lv Yajuan , Kong Fanrong , Lin Na , Zheng Jian , Han Caian 
Published: August 2024

AbstractHigh dielectric constant (ε), thermal conductivity (TC), and breakdown strength (Eb) along with low loss flexible polymeric nanocomposites display multifunctional applications. In this work, to synergistically bolster the TC and Eb while restraining dielectric loss and leakage current in the percolating flaky copper (f‐Cu)/poly(vinylidene fluoride) (PVDF), presenting a giant ε, the core@shell structured f‐Cu@MgO (magnesium oxide) nanosheets were first created via a chemical precipitation method, then incorporated into host PVDF to explore the MgO shell’ impact on the TC and dielectric properties of the resulting nanocomposites. The introduced MgO interlayer strengthens the interfacial interactions and significantly mitigates the interfacial mismatch in both ε and conductivity between the f‐Cu and PVDF, resulting in elevated TC and Eb of the f‐Cu@MgO/PVDF in comparison to pristine f‐Cu/PVDF. Furthermore, the insulating MgO interlayer introduces deep traps and inhibits the long‐distance migration of electrons, leading to remarkably suppressed dielectric loss. More importantly, the TC and dielectric properties of nanocomposites can be optimized by tuning the MgO thickness. The fitting results via the Havriliak‐Negami equation theoretically support the MgO shell's suppression effect on charge migration and reveal the underlying polarization mechanism in the nanocomposites. The developed nanocomposites with currently high ε, Eb and TC but low loss, present promising applications in electrical power systems.
Toward durable polylactic acid/poly(methyl methacrylate) polyblend fibers with high performance
Authors: Zhang Huixian , Sun Tonghui , Xiao Min , Bai Hongwei 
Published: August 2024

AbstractPolylactic acid/poly(methyl methacrylate) (PLA/PMMA) composite fibers with high performance were fabricated using melt spinning technique. The crystallization, lamellae orientation and physical properties of composite fibers were investigated systematically. The addition of PMMA (0–20 wt%) has improved the hydrolysis resistance of composite fibers by preventing water molecules from penetrating and diffusing through the fibers, but the strength and heat resistance were reduced at the same time. The stereocomplex crystallites (SC) formed before spinning by introducing poly(D‐lactide) (PDLA) (3 wt%) in poly(L‐lactide) (PLLA) matrix and acted as nucleating agents to enhanced the crystallization and lamellae orientation of PLLA matrix, which improved the physical properties of PLA composite fibers resultful. The tensile strength of PLA fibers with 3 wt% PDLA and 5 wt% PMMA was increased 31% as well as the boiling water shrinkage and the hydrolysis rate were decreased 30% and 33% in relation to PLLA fibers. Finally, the hydrolysis resistance was further enhanced on the basis of realizing high strength and heat resistance, which is of great significance for preparing durable PLA fiber materials and expanding their application.
A New Mixture Model With Cure Rate Applied to Breast Cancer Data
Authors: Gallardo Diego I. , Brandão Márcia , Leão Jeremias , Bourguignon Marcelo , Calsavara Vinicius 
Published: August 2024

ABSTRACTWe introduce a new modelling for long‐term survival models, assuming that the number of competing causes follows a mixture of Poisson and the Birnbaum‐Saunders distribution. In this context, we present some statistical properties of our model and demonstrate that the promotion time model emerges as a limiting case. We delve into detailed discussions of specific models within this class. Notably, we examine the expected number of competing causes, which depends on covariates. This allows for direct modeling of the cure rate as a function of covariates. We present an Expectation‐Maximization (EM) algorithm for parameter estimation, to discuss the estimation via maximum likelihood (ML) and provide insights into parameter inference for this model. Additionally, we outline sufficient conditions for ensuring the consistency and asymptotic normal distribution of ML estimators. To evaluate the performance of our estimation method, we conduct a Monte Carlo simulation to provide asymptotic properties and a power study of LR test by contrasting our methodology against the promotion time model. To demonstrate the practical applicability of our model, we apply it to a real medical dataset from a population‐based study of incidence of breast cancer in São Paulo, Brazil. Our results illustrate that the proposed model can outperform traditional approaches in terms of model fitting, highlighting its potential utility in real‐world scenarios.
Exploring a facile preparation method for Co‐Ni/MoS2‐derived nanohybrid from wheat straw extract and its physicochemical properties
Authors: Himanshu Magan , Singh Anjali , Verma Bhawna , Pandey Saurabh Kumar , Syed Asad , Elgorban Abdallah M. , Wong Ling Shing , Mohammad Akbar , Srivastava Neha 
Published: August 2024

AbstractThis study presents a novel approach for the fabrication of a Co,Ni/MoS2‐derived nanohybrid material using wheat straw extract. The facile synthesis method involves a sol–gel process, followed by calcination, showcasing the potential of agricultural waste as a sustainable reducing and chelating reagent. The as‐prepared nanohybrid has been characterized using different techniques to analyse its physicochemical properties. X‐ray diffraction analysis confirmed the successful synthesis of the nanohybrid material, identifying the presence of NiMoO4, CoSO4 and Mo17O47 as its components. Fourier‐transform infrared spectroscopy differentiated the functional groups present in the wheat straw biomass and those in the nanohybrid material, highlighting the formation of metal–oxide and sulphide bonds. Scanning electron microscopy revealed a heterogeneous morphology with agglomerated structures and a grain size of around 70 nm in the nanohybrid. Energy‐dispersive X‐ray spectroscopy analysis shows the composition of elements with weight percentages of (Mo) 9.17%, (S) 6.21%, (Co) 12.48%, (Ni) 12.18% and (O) 50.46% contributing to its composition. Electrochemical analysis performed through cyclic voltammetry showcased the exceptional performance of the nanohybrid material as compared with MoS2, suggesting its possible applications for designing biosensors and related technologies. Thus, the research study presented herein underscores the efficient utilization of natural resources for the development of functional nanomaterials with promising applications in various fields. This study paves a way for manufacturing innovation along with advancement of novel synthesis method for sustainable nanomaterial for future technological developments.
Fostering firm value: Unpacking the effect of circular economy disclosure via social media
Authors: Petruzzella Felice , Giakoumelou Anastasia , L'Abate Vitiana , Raimo Nicola , Vitolla Filippo 
Published: August 2024

AbstractGrowing environmental concerns and the need to address global challenges such as climate change and resource exploitation have highlighted the relevance of the circular economy (CE) and the importance for companies to communicate circular practices externally. While academic literature has examined the dissemination of CE information, the effects of CE disclosure (CED) remain underexplored. This study aims to fill this gap by exploring, through signaling theory, the influence of CED via social media on firm value. The econometric analysis, based on 366 observations (an unbalanced panel of 133 internationally listed companies for the period 2019–2021), demonstrates that CED via Twitter serves as a powerful market signal, positively influencing investor perception and increasing firm value. This study enlarges the literature relating to the association between non‐financial disclosure and firm value, and the effects of CED. Furthermore, it extends the debate on the use of social media as disclosure tools and broadens the scope of signaling theory.
Dual Aliovalent Dopants Cu, Mn Engineered Eco‐Friendly QDs for Ultra‐Stable Anti‐Counterfeiting
Authors: Kokilavani S. , Selopal Gurpreet Singh , Jin Lei , Kumar Pawan , Barba David , Rosei Federico 
Published: August 2024

AbstractDoping in semiconductor quantum dots (QDs) using optically active dopants tailors their optical, electronic, and magnetic properties beyond what is achieved by controlling size, shape, and composition. Herein, we synergistically modulated the optical properties of eco‐friendly ZnInSe2/ZnSe core/shell QDs by incorporating Cu‐doping and Mn‐alloying into their core and shell to investigate their use in anti‐counterfeiting and information encryption. The engineered “Cu:ZnInSe2/Mn:ZnSe” core/shell QDs exhibit an intense bright orange photoluminescence (PL) emission centered at 606 nm, with better color purity than the undoped and individually doped core/shell QDs. The average PL lifetime is significantly extended to 201 ns, making it relevant for complex encryption and anti‐counterfeiting. PL studies reveal that in Cu:ZnInSe2/Mn:ZnSe, the photophysical emission arises from the Cu state via radiative transition from the Mn 4T1 state. Integration of Cu:ZnInSe2/Mn:ZnSe core/shell QDs into poly(methyl methacrylate) (PMMA) serves as versatile smart concealed luminescent inks for both writing and printing patterns. The features of these printed patterns using Cu:ZnInSe2/Mn:ZnSe core/shell QDs persisted after 10 weeks of water‐soaking and retained 70 % of PL emission intensity at 170 °C, demonstrating excellent thermal stability. This work provides an efficient approach to enhance both the emission and the stability of eco‐friendly QDs via dopant engineering for fluorescence anti‐counterfeiting applications.
Carbon Dots as Bioactive Antifungal Nanomaterials
Authors: Sturabotti Elisa , Camilli Alessandro , Leonelli Francesca , Vetica Fabrizio 
Published: August 2024

AbstractNowadays, the widespread diffusion of infections caused by opportunistic fungi represents a demanding threat for global health security. This phenomenon has also worsened by the emergence of contagious events in hospitalisation environments and by the fact that many fungi have developed harsh and serious resistance mechanisms to the traditional antimycotic drugs. Hence, the design of novel antifungal agents is a key factor to counteract mycotic infections and resistance. Within this context, nanomaterials are gaining increasing attention thanks to their biocidal character. Among these, carbon dots (CDs) represent a class of zero‐dimensional, photoluminescent and quasi‐spherical nanoparticles which, for their great and tuneable features, have found applications in catalysis, sensing and biomedicine. Nevertheless, only a few works define and recapitulate their antifungal properties. Therefore, we aim to give an overview about the recent advances in the synthesis of CDs active against infective fungi. We described the general features of CDs and fungal cells, by highlighting some of the most common antimycotic mechanisms. Then, we evaluated the effects of CDs, antimicrobial drugs‐loaded CDs and CDs‐incorporated packaging systems on different fungi and analysed the use of CDs as fluorescent nano‐trackers for bioimaging, showing, to all effects, their promising application as antifungal agents.
Social isolation, depression, and anxiety among young adult cancer survivors: The mediating role of social connectedness
Authors: Li Xiaoyin , Hathaway Cassandra A. , Small Brent J. , Tometich Danielle B. , Gudenkauf Lisa M. , Hoogland Aasha I. , Fox Rina S. , Victorson David E. , Salsman John M. , Gonzalez Brian D. , Jim Heather S. L. , Siegel Erin M. , Tworoger Shelley S. , Oswald Laura B. 
Published: August 2024

AbstractBackgroundSocial isolation and social connectedness are health determinants and aspects of social well‐being with strong associations with psychological distress. This study evaluated relationships among social isolation, social connectedness, and psychological distress (i.e., depression, anxiety) over 1 year in young adult (YA) cancer survivors 18–39 years old.MethodsParticipants were YAs in a large cohort study that completed questionnaires every 2 months for 1 year. Social isolation, aspects of social connectedness (i.e., companionship, emotional support, instrumental support, and informational support), depression, and anxiety were assessed with Patient‐Reported Outcomes Measurement Information System short form measures. Mixed‐effect models were used to evaluate changes over time. Confirmatory factor analysis and multilevel structural equation modeling were used to define social connectedness as a latent construct and determine whether relationships between social isolation and psychological distress were mediated by social connectedness.ResultsParticipants (N = 304) were mean (M) = 33.5 years old (SD = 4.7) and M = 4.5 years (SD = 3.5) post‐initial cancer diagnosis. Most participants were female (67.4%) and non‐Hispanic White (68.4%). Average scores for social well‐being and psychological distress were within normative ranges and did not change (p values >.05). However, large proportions of participants reported at least mild social isolation (27%–30%), depressive symptoms (36%–37%), and symptoms of anxiety (49%–51%) at each time point. Across participants, more social isolation was related to less social connectedness (p values <.001), more depressive symptoms (p < .001), and more symptoms of anxiety (p < .001). Social connectedness mediated the relationship between social isolation and depression (p = .004), but not anxiety (p > .05).ConclusionsSocial isolation and connectedness could be intervention targets for reducing depression among YA cancer survivors.
Ab‐HIDS: An anomaly‐based host intrusion detection system using frequency of N‐gram system call features and ensemble learning for containerized environment
Authors: Joraviya Nidhi , Gohil Bhavesh N. , Rao Udai Pratap 
Published: August 2024

SummaryCloud's operating‐system‐level virtualization has introduced a new phase of lightweight virtualization through containers. The architecture of cloud‐native and microservices‐based application development strongly advocates for the use of containers due to their swift and convenient deployment capabilities. However, the security of applications within containers is important, as malicious or vulnerable content could jeopardize the container and the host system. This vulnerability also extends to neighboring containers and may compromise data integrity and confidentiality. The article focuses on developing an intrusion detection system tailored to containerized cloud environments by identifying system call analysis techniques and also proposes an anomaly‐based host intrusion detection system (Ab‐HIDS). This system employs the frequency of N‐grams system calls as distinctive features. To enhance performance, two ensemble learning models, namely voting‐based ensemble learning and XGBoost ensemble learning, are employed for training and testing the data. The proposed system is evaluated using the Leipzig Intrusion Detection Data Set (LID‐DS), demonstrating substantial performance compared to existing state‐of‐the‐art methods. Ab‐HIDS is validated for class imbalance using the imbalance ratio and synthetic minority over‐sampling technique methods. Our system achieved significant improvements in detection accuracy with 4% increase for the voting‐based ensemble model and 6% increase for the XGBoost ensemble model. Additionally, we observed reductions in the false positive rate by 0.9% and 0.8% for these models, respectively, compared to existing state‐of‐the‐art methods. These results illustrate the potential of our proposed approach in improving security measures within containerized environments.