bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real‐Time Non‐Faradaic Potentiodynamic Impedance Sensing Using Screen‐Printed Carbon Electrodes
Authors: Fuhry Emil , Guglielmotti Victoria , Wachta Isabell , Pallarola Diego , Balasubramanian Kannan 
Published: June 2024

AbstractElectrochemical impedance spectroscopy (EIS) is a suitable analytical technique to detect interfacial phenomena and analyte binding at electrode surfaces. In contrast to metallic electrodes, carbon‐based electrodes are more suited due to the low cost and the availability of more versatile methods for chemical functionalization. For (bio) sensing, often the Faradaic version of EIS in a three‐electrode configuration is used, where a redox‐active species is used as a marker. In order to avoid interference due to the redox‐active marker with the interfacial interaction, we focus here on the use of non‐Faradaic EIS in the absence of any added markers. First, we utilize the sedimentation of silica beads as a model system, which reduces the complexity of the interaction simplifying the interpretation of the measured signals. Moreover, we introduce two improvements. First, impedance measurements are performed in a three‐electrode configuration with applied potential as an additional variable, which serves as a handle to optimize the sensitivity. Secondly, we present a time‐differential strategy to detect subtle changes and demonstrate that we can consistently follow the sedimentation of beads using the non‐Faradaic impedance as a function of the applied potential. Finally, we show a proof‐of‐principle demonstration for the biosensing of cell attachment on the electrodes in real‐time using the proposed technique.
A new 3D Zn(II)‐based coordination polymer with kgd topology as potent photocatalyst for antibiotic degradation
Authors: Bao Ling‐Ling , Tan Tian‐Tian , Li Yi‐Na , Muddassir Mohd , Zhong Wen , Srivastava Shreya , Trivedi Manoj , Kumar Abhinav , Jin Jun‐Cheng 
Published: June 2024

A new coordination polymer (CP) with composition [Zn3(bpyp)2(TCB)2(H2O)2]n (1) has been engendered by performing reaction of Zn(II) with 1,3,5‐tris‐(4‐carboxyphenyl)benzene (H3TCB) and 2,5‐bis(pyrid‐4‐yl)pyridine (bpyp) under solvothermal condition. The single crystal X‐ray diffraction analysis for 1 suggests kgd topological behavior having resemblance with a tessellation composed of diamond shapes arranged in a star pattern and represented by the Schläfli symbol {41}2{42·62·81}. This newly designed CP exhibits optical band gap of 2.92 eV and employed as photocatalyst for photodegradation of antibiotics, namely, nitrofurazone (NFZ), chloramphenicol (CAP), sulfasalazine (SLA), oxytetracycline (OXY), and furazolidone (FZD). Among these antibiotics, 1 displays best photocatalytic activity against the photodegradation of NFZ and under optimized conditions viz. photocatalyst dosage of 15 mg, and initial NFZ concentration of 40 ppm, the CP 1 displays best catalytic performance and photo‐decomposed 93.04% NFZ with pseudo first order rate constant k of 0.04502 min−1 in 1 h. The likely photocatalytic mechanism has been evaluated using theoretical calculations.
Preparation of palladium‐based catalysts and use for depolymerization of larch bark tannins
Authors: Liu Nianci , Li Te , Zhang Zhuorui , Su Ling , Jiang Guiquan 
Published: June 2024

AbstractIn this study, we synthesized eight palladium‐based catalysts using two carriers, ZrO2 and MCM‐41. These catalysts were used for the degradation of condensed tannins extracted from larch bark. The average polymerization degree and degradation rate of the products were used as indicators to evaluate the efficiency of degradation. The effects of different Pd:Cu loading ratios under the same carrier conditions and the effects of different carriers under the same Pd:Cu loading ratio were investigated. The results revealed that when the carrier was kept constant, the Pd:Cu ratio of 1:1 exhibited the highest efficiency in degrading condensed tannins. Moreover, when the Pd:Cu loading ratio was the same, the degradation efficiency was higher when ZrO2 was used as the carrier. Based on these findings, the catalyst (Pd1‐Cu1)5/ZrO2 (where “1” are the molar ratios of Pd to Cu added during the preparation of the catalyst and where ‘5’ is the mass percentage of Pd/Cu metal to total catalyst, i.e., 5 wt%), with ZrO2 as the carrier and a Pd:Cu ratio of 1:1, demonstrated the highest degradation efficiency, with a degradation rate of 73.89%. This catalyst successfully reduced the average polymerization degree of condensed tannins from 9.5 to 2.48.
Description of a new specimen of Haplocanthosaurus from the Dry Mesa Dinosaur Quarry
Authors: Boisvert Colin , Curtice Brian , Wedel Mathew , Wilhite Ray 
Published: June 2024

AbstractA new specimen of Haplocanthosaurus is described based on bones excavated from the Late Jurassic Dry Mesa Dinosaur Quarry near Delta, Colorado. The specimen consists of seven dorsal vertebrae and a right tibia and is identified as Haplocanthosaurus based on the dorsally angled transverse processes, tall neural arch peduncles, low parapophyses relative to the diapophyses in the posterior dorsal vertebrae, and the robustness of the tibia combined with a greatly expanded distal articular surface. The discovery adds to our understanding of the biostratigraphy of Haplocanthosaurus, showing this genus is definitively present in the Brushy Basin Member of the Morrison Formation, and making this individual the geologically youngest Haplocanthosaurus specimen on the Colorado Plateau. The identification of this genus adds to the known diversity of sauropods at Dry Mesa Dinosaur Quarry (DMDQ), which is at least six distinct genera, making DMDQ the most diverse single locality of sauropods in the Morrison Formation and the world.
Cutting‐edge HPLC and MCR techniques for synchronically quantifying anticholinergic drugs in the presence of C12 and C14 homologs: Robust application to green and white chemistry
Authors: Al‐Wasidi Asma S. , Ahmed Hoda A. , Alshammari Manal Falag Abtan , Nafee Sherif S. , Mohamed Mahmoud A. 
Published: June 2024

AbstractGreen and white chemistry are vital to revolutionizing the chemical industry through their unparalleled potential to enhance sustainability and efficiency. In this study, nine sustainability tools of both green and white metrics, including green analytical procedure index (GAPI), ComplexGAPI, analytical greenness, analytical greenness metric for sample preparation, Analytical Eco‐Scale (ESA), analytical method greenness score, high‐performance liquid chromatography‐ environmental assessment tool (HPLC‐EAT), analytical method volume intensity, and blue applicability grade index (BAGI), have been developed for appraising environmental friendliness for both innovative and straightforward mean centering of ratio spectra (MCR) and reversed‐phase high‐performance liquid chromatography (RP‐HPLC) strategies utilized for concurrent analysis and separation of cyclopentolate (CYC) and C12 and C14 homologs of benzalkonium chloride (BNZ) in pure and ophthalmic solution. The mobile phase, formed of buffer phosphate and acetonitrile (35:65, v/v), was adjusted to pH 6.3, and 215‐nm UV detection was used. The experimental flow rate was 2.0 mL min−1, and the analytical column was L11 Inertsil Ph‐3 (150 mm × 4.6 mm, 5 µm). All sequences were run at 25°C in the column oven. The MCR approach effectively resolved the drug's spectral overlapping. CYC and BNZ employed this approach at 227.5 and 220.4 nm, respectively. As part of the HPLC analysis, an isocratic method was employed with phosphate buffer and acetonitrile in the mobile phase at 35:65. A correlation coefficient greater than 0.999 was observed between the calibration curves for the HPLC and MCR methods in the ranges of 20–320 µg mL−1 and 5–30 µg mL−1 for all drugs. The technique yields excellent primary recovery rates, ranging from 97.2% to 100.5%. The recommended approach has been validated according to International Council for Harmonization guidelines.
A data‐driven predictive model for disinfectant residual in drinking water storage tanks
Authors: Kyritsakas Grigorios , Boxall Joby , Speight Vanessa 
Published: June 2024

AbstractA data‐driven approach is developed and proven for ranking the risk of low disinfection residual in water distribution storage tanks, 1 month ahead. The forecasting methodology uses water quality data collected from drinking water treatment plants, storage tank outlets, and rainfall data as inputs. This methodology was developed and tested with data from a water utility serving more than 5 million people. Results show high‐risk category prediction accuracy of 75%–80%. Using a final year of unseen validation data, more than 90% of the storage tanks ranked in the top 20 by the forecasting methodology experienced low disinfectant residual in the following month. Storage tanks are critical water distribution system infrastructure that are currently managed reactively. The adoption of such readily transferable machine learning approaches enables direct proactive management strategies and efficient interventions that can help ensure drinking water quality.
Beyond traditional supply chain management: Addressing sociopolitical challenges in increasingly turbulent global trade landscape
Authors: Narkhede Ganesh , Samuel Cherian , Mahajan Sonal , Verma Devika , Sakhare Nitin , Chaudhari Tansen 
Published: June 2024

AbstractAn increasing number of sociopolitical issues, including international wars, armed conflicts, decoupling of economic powers, deglobalization, nationalism, protectionism, sanctions, tariff wars, political tensions, and other sociopolitical forces affecting global supply chains (GSCs) and supply chain management (SCM) strategies. Amidst these sociopolitical factors, the global trade landscape is undergoing a seismic shift. This paper examines the complex web of these sociopolitical aspects, their impact on SCM strategies, and their implications for GSCs. The systematic literature review approach is used for this research, which entails the following steps: selecting and assessing pertinent sources, summarizing and synthesizing the literature, examining challenges and opportunities, articulating conclusions, and pinpointing prospective directions for future research. The findings of this study reveal that these sociopolitical factors have significant impacts on multiple facets of SCM, such as sourcing strategies, supplier relationships, risk management, and overall supply chain resilience. In addition, the study presents a roadmap for businesses to effectively navigate these difficulties, which involves diversifying supply chain networks, integrating corporate sustainability strategies, and implementing environmental, social, and governance factors into business operations. The originality of this research lies in its integrated and holistic approach to the integration of sociopolitical factors into SCM theory and practice.
How do companies adopt open innovation to enable circular economy? Insights from a qualitative meta‐analysis of case studies
Authors: Calabrese Armando , Costa Roberta , Haqbin Arash , Levialdi Ghiron Nathan , Tiburzi Luigi 
Published: June 2024

AbstractOpen innovation (OI) is a pivotal driver in fostering the practical implementation of circular economy (CE). Based on 42 case studies identified through a systematic search, the present study seeks to understand how OI strategies are currently integrated within companies' circular business models (CBMs). The content analysis of the cases, interpreted through a strategy matrix, emphasises a prevalent inclination among companies towards collaborative and network‐based OI strategies. These strategies exhibit high depth and breadth of knowledge search, indicating companies' tendency to engage with numerous knowledge sources in deep partnership. Moreover, the findings underscore that the companies tend to favour OI strategies rooted in the depth of knowledge search rather than breadth in developing CBMs. In addition to contributing to the existing CE knowledge, the findings of this study offer empirical insights for managers, practitioners and policymakers, aiming to effectively integrate OI strategies into CBMs.
Synergizing computer‐aided design, commercial software, and cutting‐edge technologies in an innovative nozzle test apparatus for an engineering laboratory course
Authors: Chen Mingtai 
Published: June 2024

AbstractThis study explores compressible flow, a field reliant on mathematical models for effective teaching. Using laboratory experiments as pedagogical tools, we introduce a compact nozzle test apparatus that integrates cutting‐edge technologies—additive manufacturing (AM), pressure‐sensitive paint, the Schlieren system, image processing, and computational fluid dynamics (CFD)—in a compressible flow laboratory course. Commercial software, including MATLAB, SOLIDWORKS, ANSYS Fluent, and LabVIEW, facilitates the incorporation of these technologies. The research outlines the course structure, objectives, and details of student projects. Through a comparative analysis of experimental results, analytical calculations, and CFD simulations, we showcase the successful integration of AM in pedagogical practices for compressible flow, addressing critical concerns like nozzle strength and surface roughness. Statistical data from student projects offer practical insights, ensuring accuracy in experimental applications. The laboratory's design and detailed lists of components and costs provide a meaningful comparison with a supersonic wind tunnel, considering manufacturing expenses, operational costs, spatial requirements, and noise levels. The assessment of lab report grades underscores the approach's efficacy in conveying compressible flow concepts successfully, facilitated by modern computers. In summary, our study presents a comprehensive, efficient, and technologically advanced approach to teaching compressible flow within a concise framework.
Child sexual exploitation and abuse disclosure and help‐seeking: A glimpse of global South data
Authors: Kavenagh Mark , Maternowska M. Catherine 
Published: June 2024

AbstractOver decades, research practitioners have highlighted how survivors of sexual abuse in childhood face strong forms of stigma including victim‐blaming, shame and social isolation. However, the data and evidence are disproportionately slanted towards the global North. Shifting the focus to the global South, this reflective piece draws on two substantial multicountry research projects to highlight the expectations and experiences of young survivors of child sexual exploitation and abuse (CSEA) in their quest for support. By applying a socio‐ecological analysis, it demonstrates how societal stigma—from both professionals and young people themselves—compounds the help‐seeking process. The findings support the well‐documented concept that disclosing sexual violence is an ongoing—not singular—process that depends on a series of interactions at the individual, interpersonal and institutional levels of the ecosystem. Building better trauma‐informed responses is likely to help; however, a focus only on services falls short, especially in countries where child protection systems struggle to thrive. A concurrent transformative shift in both social and gender norms across the ecosystem is essential to address the seemingly intractable challenges to child sexual exploitation and abuse prevention and response.
Real‐Time Metabolic Magnetic Resonance Spectroscopy of Pancreatic and Colon Cancer Tumor‐Xenografts with Parahydrogen Hyperpolarized 1‐13C Pyruvate‐d3
Authors: Fries Lisa M. , Hune Theresa L. K. , Sternkopf Sonja , Mamone Salvatore , Schneider Kim Lucia , Schulz‐Heddergott Ramona , Becker Dorothea , Glöggler Stefan 
Published: June 2024

AbstractParahydrogen‐induced polarization (PHIP) is an emerging technique to enhance the signal of stable isotope metabolic contrast agents for Magnetic Resonance (MR). The objective of this study is to continue establishing 1‐13C‐pyruvate‐d3, signal‐enhanced via PHIP, as a hyperpolarized contrast agent, obtained in seconds, to monitor metabolism in human cancer. Our focus was on human pancreatic and colon tumor xenografts. 1‐13C‐vinylpyruvate‐d6 was hydrogenated using parahydrogen. Thereafter, the polarization of the protons was transferred to 13C. Following a workup procedure, the free hyperpolarized 1‐13C‐pyruvate‐d3 was obtained in clean aqueous solution. After injection into animals bearing either pancreatic or colon cancer xenografts, slice‐selective MR spectra were acquired and analyzed to determine rate constants of metabolic conversion into lactate and alanine. 1‐13C‐pyruvate‐d3 proved to follow the increased metabolic rate to lactate and alanine in the tumor xenografts.
Dioxygen Activation by Gold(I)‐Distorted Porphyrin Dinuclear Complexes
Authors: Suzuki Wataru , Mizuhata Yoshiyuki , Tokitoh Norihiro , Teranishi Toshiharu 
Published: June 2024

AbstractInteractions between gold‐based materials and dioxygen (O2) have motivated researchers to understand reaction mechanisms for O2 activation by homo‐ and heterogeneous gold catalysts. In this work, gold(I) porphyrin dinuclear complexes were synthesized with a saddle‐distorted porphyrin ligand. The gold(I) porphyrin complexes showed unprecedented O2 activation in the presence of protic solvents to form gold(III) tetradentate porphyrin complexes. Mechanistic insights into the O2 activation by the gold(I) center were elucidated by spectroscopic measurements and theoretical calculations, revealing that dissociation of halides on the gold(I) center by alcohol solvents and hydrogen bonding of an N−H proton in the distorted porphyrin with dioxygen played important roles in establishing the unique reactivities of gold(I) complexes.
KMT2A and chronic inflammation as potential drivers of sporadic parathyroid adenoma
Authors: Xu Qin , La Ting , Ye Kaihong , Wang Li , Wang Shasha , Hu Yifeng , Teng Liu , Yan Lei , Li Jinming , Zhang Zhenhua , Shao Zehua , Zhang Yuan Yuan , Zhao Xiao Hong , Feng Yu Chen , Jin Lei , Baker Mark , Thorne Rick F. , Zhang Xu Dong , Shao Feng‐Min , Cao Huixia 
Published: June 2024

AbstractBackgroundSporadic parathyroid adenoma (PA) is the most common cause of hyperparathyroidism, yet the mechanisms involved in its pathogenesis remain incompletely understood.MethodsSurgically removed PA samples, along with normal parathyroid gland (PG) tissues that were incidentally dissected during total thyroidectomy, were analysed using single‐cell RNA‐sequencing with the 10× Genomics Chromium Droplet platform and Cell Ranger software. Gene set variation analysis was conducted to characterise hallmark pathway gene signatures, and single‐cell regulatory network inference and clustering were utilised to analyse transcription factor regulons. Immunohistochemistry and immunofluorescence were performed to validate cellular components of PA tissues. siRNA knockdown and gene overexpression, alongside quantitative polymerase chain reaction, Western blotting and cell proliferation assays, were conducted for functional investigations.ResultsThere was a pervasive increase in gene transcription in PA cells (PACs) compared with PG cells. This is associated with high expression of histone‐lysine N‐methyltransferase 2A (KMT2A). High KMT2A levels potentially contribute to promoting PAC proliferation through upregulation of the proto‐oncogene CCND2, which is mediated by the transcription factors signal transducer and activator of transcription 3 (STAT3) and GATA binding protein 3 (GATA3). PA tissues are heavily infiltrated with myeloid cells, while fibroblasts, endothelial cells and macrophages in PA tissues are commonly enriched with proinflammatory gene signatures relative to their counterparts in PG tissues.ConclusionsWe revealed the previously underappreciated involvement of the KMT2A‒STAT3/GATA3‒CCND2 axis and chronic inflammation in the pathogenesis of PA. These findings underscore the therapeutic promise of KMT2A inhibition and anti‐inflammatory strategies, highlighting the need for future investigations to translate these molecular insights into practical applications.Highlights
Single‐cell RNA‐sequencing reveals a transcriptome catalogue comparing sporadic parathyroid adenomas (PAs) with normal parathyroid glands.
PA cells show a pervasive increase in gene expression linked to KMT2A upregulation.
KMT2A‐mediated STAT3 and GATA3 upregulation is key to promoting PA cell proliferation via cyclin D2.
PAs exhibit a proinflammatory microenvironment, suggesting a potential role of chronic inflammation in PA pathogenesis.
Classical and quantum theory of fluctuations for many‐particle systems out of equilibrium
Authors: Schroedter E. , Bonitz M. 
Published: June 2024

AbstractCorrelated classical and quantum many‐particle systems out of equilibrium are of high interest in many fields, including dense plasmas, correlated solids, and ultracold atoms. Accurate theoretical description of these systems is challenging both, conceptionally and with respect to computational resources. While for classical systems, in principle, exact simulations are possible via molecular dynamics, this is not the case for quantum systems. Alternatively, one can use many‐particle approaches such as hydrodynamics, kinetic theory, or nonequilibrium Green functions (NEGF). However, NEGF exhibit a very unfavorable cubic scaling of the CPU time with the number of time steps. An alternative is the G1–G2 scheme [N. Schlünzen et al., Phys. Rev. Lett. 124, 076601 (2020)] which allows for NEGF simulations with time linear scaling, however, at the cost of large memory consumption. The reason is the need to store the two‐particle correlation function. This problem can be overcome for a number of approximations by reformulating the kinetic equations in terms of fluctuations – an approach that was developed, for classical systems, by Yu.L. Klimontovich [JETP 33, 982 (1957)]. Here, we present an overview of his ideas and extend them to quantum systems. In particular, we demonstrate that this quantum fluctuations approach can reproduce the nonequilibrium GW approximation [E. Schroedter et al., Cond. Matt. Phys. 25, 23401 (2022)] promising high accuracy at low computational cost which arises from an effective semiclassical stochastic sampling procedure. We also demonstrate how to extend the approach to the two‐time exchange‐correlation functions and the density response properties. [E. Schroedter et al., Phys. Rev. B 108, 205109 (2023)]. The results are equivalent to the Bethe–Salpeter equation for the two‐time exchange‐correlation function when the generalized Kadanoff‐Baym ansatz with Hartree‐Fock propagators is applied [E. Schroedter and M. Bonitz, phys. stat. sol. (b) 2024, 2300564].