bluuebunny/crossref_metadata_2025_split huggingface dataset:
In‐site synthesis of TiO2 in (HEMA‐AA)‐co‐PDMS hydrogel: UV resistance, optical transparency, and hydrophilicity
Authors: Ji Lijun , Ji Yunkang , Li Huiting , Nong Lijuan , Qin Xiang 
Published: October 2024

AbstractA (HEMA‐AA)‐co‐PDMS hydrogel doped with TiO2 nanoparticles was prepared by an in‐situ synthesis method. The relationships between the composition and structure and performance of the hydrogel were characterized by SEM, TEM, TGA, FTIR, AFM, XPS, UV–vis, a universal testing machine, and contact angle. The in‐situ synthesized TiO2 nanoparticles in the hydrogel improved the hydrophilicity and the absorption of UV and blue light significantly. UV‐C and UV‐B in the range of 100–280 nm and 280–315 nm, respectively, were absorbed completely. Absorption of UV‐A light in the range of 315–400 nm was enhanced from 18% to 45% while the absorption of blue light in the range of 400–500 nm was enhanced from 10% to 30%. Visible light transmittance in the range of 500–800 nm was maintained around 90%. The contact angle of the (HEMA‐AA)‐co‐PDMS hydrogel decreased from 79.5° to 41.5°, and the high elongation at break was retained. The oxygen permeability coefficient of the (HEMA‐AA)‐co‐PDMS hydrogel was 12.12 × 10−11 (cm2/s) [mLO2/(mL × mmHg)]. This TiO2 nanoparticle‐doped (HEMA‐AA)‐co‐PDMS hydrogel showed great potential for producing contact lens with UV and blue light protection.
Multi‐Annual Year‐on‐Year: Minimising the Uncertainty in Photovoltaic System Performance Loss Rates
Authors: Quest Hugo , Ballif Christophe , Virtuani Alessandro 
Published: October 2024

ABSTRACTThe performance loss rate (PLR) is a key parameter in the assessment of photovoltaic (PV) systems' long‐term performance and reliability. Despite the lack of industry‐wide consensus and standardised methods for extracting PLR values from field data, the year‐on‐year (YoY) method is often considered the most robust regression analysis. However, achieving reproducible results with minimal uncertainty remains a challenge. This work proposes the multi‐annual YoY (multi‐YoY) approach, which reduces the statistical uncertainty of the metric through increased usage of available data. The concept is straightforward: Instead of comparing data points only to the following year, the multi‐YoY method compares them to all subsequent years, increasing the number of available comparisons. The methodology is validated using synthetic data and tested on high‐quality datasets made available by IEA PVPS Task 13. The multi‐YoY method improves both accuracy and precision, with only 1% deviation from the set PLR value in a synthetic dataset and a tenfold decrease in confidence interval (CI) compared to the standard YoY. Moreover, comparisons with the IEA benchmark PLR values show good agreement with their ensemble method, with minimised uncertainty. The impact of noise, dataset length missing data and non‐linear trends are tested, showing improved accuracy and robustness for the multi‐YoY approach. For non‐linearity, automatic segmentation is recommended to capture the evolving PLR.
Tuning Supercapacitive Behavior of Eri Silk (Philosamiaricini)‐Polyanilne Nanocomposite for Electrodes Applications
Authors: Begum Jurima , Chutia Sudipta , Phukan Kandarpa 
Published: October 2024

ABSTRACTHerein, the synthesis of Polyaniline‐Eri nanosilk fibroin (PANI/ENSF) composite supercapacitor electrode material by utilizing Eri silk (Philosamiaricini) as a raw material and polyaniline (PANI) with H2SO4 as doping acid and (NH4)2S2O8 as an oxidant, via a simple in situ oxidative polymerization technique, with good performance characteristics is reported. The chemical composition of the composites have been studied by using XRD, FT‐IR, UV–vis spectroscopy, Raman spectroscopy, and morphology is studied by SEM. BET analysis reveals that the surface area of composite is 712.10 m2g−1, and BJH analysis shows that the pore size is mainly concentrated between 1.5 and 15.7 nm. The composite shows electrical conductivity of 17.33 × 10−2 Scm−1 (Keithley Model 2000). The electrochemical performances are evaluated by using CV, GCD, and EIS measurements. The three‐electrode system composite shows specific capacitance of about 310.12 Fg−1 at 0.1 Ag−1, which is the highest value being reported, compared to already available polyaniline‐silk composites. Further the studies have been extended to assemble a symmetrical two‐electrode supercapacitor device which also exhibits a high value of specific capacitance of 35 Fg−1 at 5 Ag−1 and 96.12% capacity retention over 5000 cycles. For the first time, this study reports using a Polyaniline‐Eri nanosilk composite to design an efficient supercapacitor electrode.
Development of Green Energetic Oxidizers for Solid Propellant Applications: Present Status
Authors: Arun Kumar Macharla , Purayil Dhanya Bhandara , Venugopal Sarika , Vargeese Anuj A , Krishnamurthy V. N. 
Published: October 2024

AbstractThe quest for new high‐energy materials (HEMs) with superior performance properties compared to conventional HEMs has opened up a new area of research and has resulted in the synthesis of many novel molecules. The challenge is to balance superior performance with stability while adopting an environmentally benign approach during synthesis, use, and disposal. This multipoint challenge has united theoretical, experimental, and applied researchers toward achieving this goal. Oxidizers are HEMs that possess stoichiometric excess of oxygen, which is used to oxidize the binder‐fuel and solid fuel additives in solid propellants. Ammonium perchlorate (AP), a commonly used oxidizer in solid propellants, needs replacement due to environmental and performance concerns. The demand for new “green energetic oxidizers” has led to the synthesis of dinitramide and trinitromethane salts, polynitroazoles, and strained‐ring compounds. Some of these compounds can be effectively used as energetic fillers to improve the overall performance of the solid propellants. This review assesses AP and ammonium nitrate in propellant applications and the performance challenges associated with the use of ammonium dinitramide (ADN), hydrazinium nitroformate, trinitroazetidine, and hexanitrohexaazaisowurtzitane (CL‐20) in propellant formulations. The synthetic feasibility of these new oxidizers, their decomposition behaviour, performance, compatibility in propellant formulations, and ways to overcome these difficulties are discussed. Evaluation of the theoretical performance of these molecules indicated that the ADN − Glycidyl azide polymer is a promising combination. However, ADN is highly hygroscopic, and an anti‐hygroscopic strategy needs to be developed. Finally, this review examines the possible identification of practical oxidizers for application purposes.
Mechanistic insights into uptake, transfer and exchange of metal ions by the three‐metal clusters of a metalloprotein
Authors: Liu Pengfei , Baumann Christian , Streuli David , Zerbe Oliver 
Published: October 2024

AbstractMetallothioneins (MTs) are small proteins that coordinate d‐block metal ions in sulfur‐metal clusters to control metal ion concentrations within the cell. Here we study metal cluster formation in the MT of the periwinkle Littorina littorea (LlMT) by nuclear magnetic resonance (NMR). We demonstrate that the three Cd2+ ions in each domain are taken up highly cooperatively, that is, in an all‐or‐none fashion, with a four‐ to six‐fold higher affinity for the C‐terminal domain. During the transfer of metal ions from Cd2+‐loaded MT to apo MT, Cd2+ is most efficiently transferred from the metalated protein to the apo C‐terminal domain. This behavior might be connected to unique structural motifs in the C‐terminal domain, such as two double‐CXC motifs and an increased proportion of positively charged residues. In Cd2+/Zn2+ metal exchange experiments, the N‐terminal domain displayed the most efficient inter‐molecular metal exchange. Amide hydrogen exchange reveals fewer protected amides for the N‐terminal domain, suggesting the structure might more easily “open up” to facilitate metal exchange. Experiments with a physical separation of donor and acceptor species demonstrate that metal exchange and transfer require protein–protein contacts. These findings provide insights into the mechanism of metal uptake and metal transfer, which are important processes during metal detoxification in snail MTs.
Low SMARCD3 expression is associated with poor prognosis in patients with prostate cancer
Authors: Ertl Iris E. , Lemberger Ursula , Rajwa Pawel , Petrov Patrik , Mayer Stefan T. , Timelthaler Gerald , Englinger Bernhard , Brettner Robert , Garstka Nathalie , Compérat Eva , Kenner Lukas , Shariat Shahrokh F. 
Published: October 2024

AbstractBackgroundsSWI/SNF complexes represent a family of multi‐subunit chromatin remodelers that are affected by alterations in >20% of human tumors. While mutations of SWI/SNF genes are relatively uncommon in prostate cancer (PCa), the literature suggests that deregulation of various subunits plays a role in prostate tumorigenesis. To assess SWI/SNF functions in a clinical context, we studied the mutually exclusive, paralogue accessory subunits SMARCD1, SMARCD2, and SMARCD3 that are included in every known complex and are sought to confer specificity.MethodsPerforming immunohistochemistry (IHC), the protein levels of the SMARCD family members were measured using a tissue microarray (TMA) comprising malignant samples and matching healthy tissue of non‐metastatic PCa patients (n = 168). Moreover, IHC was performed in castration‐resistant tumors (n = 9) and lymph node metastases (n = 22). To assess their potential role as molecular biomarkers, SMARCD1 and SMARCD3 protein levels were correlated with clinical parameters such as T stage, Gleason score, biochemical recurrence, and progression‐free survival.ResultsSMARCD1 protein levels in non‐metastatic primary tumors, lymph node metastases, and castration‐resistant samples were significantly higher than in benign tissues. Likewise, SMARCD3 protein expression was elevated in tumor tissue and especially lymph node metastases compared to benign samples. While SMARCD1 levels in primary tumors did not exhibit significant associations with any of the tested clinical parameters, SMARCD3 exhibited an inverse correlation with pre‐operative PSA levels. Moreover, low SMARCD3 expression was associated with progression to metastasis.ConclusionsIn congruence with previous literature, our results implicate that both SMARCD1 and SMARCD3 may exhibit relevant functions in the context of prostate tumorigenesis. Moreover, our approach suggests a potential role of SMARCD3 as a novel prognostic marker in clinically non‐metastatic PCa.
Mobility against all odds: the experiences of Chinese international students in Portugal amid the COVID‐19 pandemic
Authors: França Thais , Nada Cosmin , Van Mol Christof 
Published: October 2024

AbstractThe COVID‐19 pandemic significantly affected international student mobility. Chinese international students had to deal not only with challenges such as border closures and lockdowns but also with discrimination and stigmatisation. In this paper, we examine the decisions of Chinese students to engage in international mobility and their experiences in Portugal during the pandemic, relying on 23 in‐depth interviews with Chinese international students living in Portugal during the first year of the COVID‐19 pandemic (2020–2021). Our findings indicate that, although these students were concerned about the COVID‐19 pandemic and its risks, they tended to prioritise their academic endeavours, while their mobility plans did not appear to have been significantly affected by the pandemic. These findings provide new insights into how international students structure their mobility plans and make sense of their experiences of studying abroad during “unsettling events”.
Establishing a physiologically based pharmacokinetic framework for aldehyde oxidase and dual aldehyde oxidase‐CYP substrates
Authors: Izat Nihan , Bolleddula Jayaprakasam , Carione Pasquale , Huertas Valentin Leticia , Jones Robert S. , Kulkarni Priyanka , Moss Darren , Peterkin Vincent C. , Tian Dan‐Dan , Treyer Andrea , Venkatakrishnan Karthik , Zientek Michael A. , Barber Jill , Houston J. Brian , Galetin Aleksandra , Scotcher Daniel 
Published: October 2024

AbstractAldehyde oxidase (AO) contributes to the clearance of many approved and investigational small molecule drugs, which are often dual substrates of AO and drug‐metabolizing enzymes such as cytochrome P450s (CYPs). As such, the lack of established framework for quantitative translation of the clinical pharmacologic correlates of AO‐mediated clearance represents an unmet need. This study aimed to evaluate the utility of physiologically based pharmacokinetic (PBPK) modeling in the development of AO and dual AO‐CYP substrates. PBPK models were developed for capmatinib, idelalisib, lenvatinib, zaleplon, ziprasidone, and zoniporide, incorporating in vitro functional data from human liver subcellular fractions and human hepatocytes. Prediction of metabolic elimination with/without the additional empirical scaling factors (ESFs) was assessed. Clinical pharmacokinetics, human mass balance, and drug–drug interaction (DDI) studies with CYP3A4 modulators, where available, were used to refine/verify the models. Due to the lack of clinically significant AO‐DDIs with known AO inhibitors, the fraction metabolized by AO (fmAO) was verified indirectly. Clearance predictions were improved by using ESFs (GMFE ≤1.4‐fold versus up to fivefold with physiologically‐based scaling only). Observed fmi from mass balance studies were crucial for model verification/refinement, as illustrated by capmatinib, where the fmAO (40%) was otherwise underpredicted up to fourfold. Subsequently, independent DDI studies with ketoconazole, itraconazole, rifampicin, and carbamazepine verified the fmCYP3A4, with predicted ratios of the area under the concentration–time curve (AUCR) within 1.5‐fold of the observations. In conclusion, this study provides a novel PBPK‐based framework for predicting AO‐mediated pharmacokinetics and quantitative assessment of clinical DDI risks for dual AO‐CYP substrates within a totality‐of‐evidence approach.
Robust Control for Underwater Cooperative Localization Systems With Unknown Noise and Multiple Nodes
Authors: Luo Qinghua , Guo Qicheng , Yan Xiaozhen , Lin Jiaqi 
Published: October 2024

ABSTRACTThe cooperative localization technology of multi‐AUV has been a research hotspot in the area of underwater localization in recent years. Aiming at the situation that the localization accuracy is reduced and diverging due to uncertain information such as outliers and unknown time‐varying noise in the measurement information in the dynamic topology environment, a new measurement filtering module is designed by using factor graphs. First, the K‐means algorithm is introduced based on the cooperative localization algorithm based on factor graphs in the dynamic environment, and an outlier filtering module is designed to filter measurement outliers. After outlier correction, the EM algorithm is introduced to resolve the issue of unknown measurement noise variance caused by unknown time‐varying noise and design an adaptive filtering module. Finally, to address the issue of degraded real‐time performance due to a large number of system communication nodes and diverse quality, the paper introduces the CRLB algorithm, distance evaluation factor, and measurement smoothing factor to design a node optimization module. Finally, these modules are integrated into the cooperative localization system through factor graphs. Through experimental analysis, the proposed algorithm effectively reduces outliers and unknown time‐varying noise in measurement information, as well as the impact of a large number of system nodes on localization accuracy and real‐time performance. In addition, the proposed algorithm also shows strong robustness in the face of extreme underwater environments.
On an Empirical Likelihood Based Solution to the Approximate Bayesian Computation Problem
Authors: Chaudhuri Sanjay , Ghosh Subhroshekhar , Pham Kim Cuc 
Published: October 2024

ABSTRACTApproximate Bayesian computation (ABC) methods are applicable to statistical models specified by generative processes with analytically intractable likelihoods. These methods try to approximate the posterior density of a model parameter by comparing the observed data with additional process‐generated simulated data sets. For computational benefit, only the values of certain well‐chosen summary statistics are usually compared, instead of the whole data set. Most ABC procedures are computationally expensive, justified only heuristically, and have poor asymptotic properties. In this article, we introduce a new empirical likelihood‐based approach to the ABC paradigm called ABCel. The proposed procedure is computationally tractable and approximates the target log posterior of the parameter as a sum of two functions of the data—namely, the mean of the optimal log‐empirical likelihood weights and the estimated differential entropy of the summary functions. We rigorously justify the procedure via direct and reverse information projections onto appropriate classes of probability densities. Past applications of empirical likelihood in ABC demanded constraints based on analytically tractable estimating functions that involve both the data and the parameter; although by the nature of the ABC problem such functions may not be available in general. In contrast, we use constraints that are functions of the summary statistics only. Equally importantly, we show that our construction directly connects to the reverse information projection and estimate the relevant differential entropy by a k‐NN estimator. We show that ABCel is posterior consistent and has highly favorable asymptotic properties. Its construction justifies the use of simple summary statistics like moments, quantiles, and so forth, which in practice produce accurate approximation of the posterior density. We illustrate the performance of the proposed procedure in a range of applications.
What keeps the market ticking? The role of third‐party audiences and cognitive embeddedness in shaping competitive dynamics in luxury watchmaking
Authors: Claes Kim , Godart Frédéric 
Published: October 2024

AbstractResearch SummaryCompetitive dynamics between firms and buyers are shaped by mutually understood conceptual systems that enable market interactions. Third‐party audiences, such as the media, play a crucial role in shaping market structure and evolution by facilitating the development of these conceptual systems. Although they do not directly engage in contractual bargaining, third‐party audiences stabilize perceptions and facilitate market interactions by cognitively embedding competitive dynamics. Our study examines the coreness of firms within the semantic network of firm names as relayed by the media. We find that higher coreness positively impacts auction prices. This effect is moderated by firm visibility and the tone of media coverage. Our model is tested using a unique dataset from the luxury watchmaking industry.Managerial SummaryWe demonstrate that a firm's performance is shaped not only by how prominently or positively it is featured in the media, but also by the relational context in which it is mentioned. Firms that are frequently mentioned alongside other key industry players are perceived to be the core of the industry, leading to higher auction prices for their products. The effect is strengthened when a firm enjoys frequent and positive media coverage. For managers, our findings underscore the importance of understanding how and why the media associates their brand with others, as this can enhance its value in secondary markets, and thus potentially boost value capture in primary markets. Our analysis explores the luxury watchmaking industry, a setting that is rarely studied.
Macroscopic Monograin Nano‐Gyroid Thin Films in 4‐inch Scale Through Shear‐Rolling and Subsequent Solvent Annealing
Authors: Nam Woo Hyun , Hur Jung , Cho Junghyun , Ryu Du Yeol , Ahn Hyungju , Son Jeong Gon 
Published: October 2024

AbstractThe gyroid structure from self‐assembly is highly attractive for optical applications such as photonic crystals and metamaterials. However, due to the direction‐dependent nature of these applications, achieving a monograin‐level structure over a large area has remained challenging. In this study, the fabrication of unidirectionally oriented anisotropic nanocylinders of polystyrene‐block‐polydimethylsiloxane (PS‐b‐PDMS) is reported block copolymer thin films up to a 4‐inch scale via a shear‐rolling process, followed by solvent annealing to induce phase transition to nearly monograin gyroid structures. Grazing‐incidence small‐angle X‐ray scattering (GISAXS) analysis and cross‐sectional scanning electron microscope (SEM) images in the direction parallel to the shear‐rolling direction reveal the preferential orientation with the (111) plane onto the YZ axis of the film, while only the (110) plane on the YZ axis of the film is observed in the perpendicular direction, with grain sizes approaching single‐grain levels. For metamaterial applications, the PDMS domain is selectively removed, and gold is electroplated to produce monograin gold gyroid films.
Tailoring Interlayer Microenvironment of 2D Layered Double Hydroxides for CO2 Reduction with Enhanced C2+ Production
Authors: Wu Tong , Wu Zihao , Shi Ziqian , Zhang Lihua , Zhan Yinbo , Dong Yilin , Zhou Bowei , Wei Fei , Zhang Dongliang , Gao Yukun , Yin Penggang , Zhao Yixin , Qi Limin , Long Xia 
Published: October 2024

AbstractBoth the physicochemical properties of catalytic material and the structure of loaded catalyst layer (CL) on gas diffusion electrode (GDE) are of crucial importance in determining the conversion efficiency and product selectivity of carbon dioxide reduction reaction (CO2RR). However, the highly reducing reaction condition of CO2RR will lead to the uncontrollable structural and compositional changes of catalysts, making it difficult to tailor surface properties and microstructure of the real active species for favored products. Herein, the interlayer microenvironment of copper‐based layered double hydroxides (LDHs) is rationally tuned by a facile ink solvent engineering, which affects both the surface characters and microstructure of CL on GDE, leading to distinct catalytic activity and product selectivity. According to series of in situ and ex situ techniques, the appropriate surface wettability and thickness of porous CL are found to play critical roles in controlling the local CO2 concentration and water dissociation steps that are key for hydrogenation during CO2RR, leading to a high Faradaic efficiency of 75.3% for C2+ products and a partial current density of 275 mA cm−2 at −0.8 V versus RHE. This work provides insights into rational design of efficient electrocatalysts toward CO2RR for multi‐carbon generation.