bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decentralized adaptive control of large‐scale time‐varying stochastic nonlinear systems with unknown covariance
Authors: Gu Jiabao , Wang Hui , Li Wuquan 
Published: June 2024

AbstractIn this paper, a novel decentralized adaptive state‐feedback design method is proposed for large‐scale stochastic nonlinear systems. Different from the existing results, we consider more practical and more general systems, that is, systems with both unknown covariance and time‐varying powers. When dealing with the unknown time‐varying covariance, we do not need to know its bound, but use the estimator to design an adaptive law function. Then, a new adaptive controller is constructed with the backstepping method to ensure that the closed‐loop system is globally stable in probability, and that the states are regulated to the origin almost surely. Finally, a simulation example is given to illustrate the effectiveness of the design scheme.
New results on exponential estimate for 2‐D positive systems with delays
Authors: Nguyen Tran Ngoc , Nam Phan Thanh , Trinh Hieu 
Published: June 2024

AbstractWe present a new method to the problem of finding ‐exponential state estimates for a class of 2‐D positive discrete‐time systems with bounded time‐delays. A less conservative sufficient condition for the ‐exponential stability is derived and tighter ‐exponential state estimates are provided. The effectiveness of the presented method is illustrated through two numerical examples.
Water stagnancy and wastewater input enhance primary productivity in an engineered river system
Authors: Sarkar Siddhartha , Kumar Sanjeev 
Published: June 2024

AbstractUnder warming conditions and with increasing human perturbations, rivers across the globe are facing drastic shifts in their hydrologic regime, resulting in fragmentation and disconnection from the catchment. Subsequently, a dependency on in situ primary productivity as the source of organic matter increases and warrants detailed investigation of the nature of primary production in urbanized river systems. In this study, primary productivity was estimated at multiple locations along the continuum of an engineered (Sabarmati) and a free flowing (Mahi) river systems in India using 13C tracer incubation method. Significantly enhanced primary productivity in the riverfront (engineered construction along the Sabarmati that holds water supplied by a canal) and polluted downstream of the Sabarmati compared to free flowing Mahi was observed. It was also observed that water stagnancy, temperature, and nutrient availability were the key factors regulating the rates of primary productivity in the urban river system. The study highlights the salient features of riverine primary productivity associated with engineered modifications, which needs to be considered for future river development projects.
Heterogeneity in organizational search behaviors: The case of corporate venture capital units
Authors: Shankar Raj Krishnan , Schückes Magnus , Gutmann Tobias 
Published: June 2024

AbstractResearch SummaryOur qualitative study of five corporate venture capital (CVC) units reveals that CVC is organized along one of two distinct pathways—order‐taker or free‐bird. Our two‐pathway model deconstructs the heterogeneity within CVC designs and provides detailed insights into the processual nature of CVC search mechanisms. We find evidence that the locus of problem formulation influences the chosen search behavior. While order‐takers respond to predefined corporate‐led problem formulation, free‐birds allow the venture market to guide search behavior. Differences in search processes can thus be attributed to the pursuit of distinct problem‐solution pairs. Implications for CVC and organizational search literature are discussed.Managerial SummaryOrganizations search for new knowledge and technologies using corporate venture capital (CVC) units. Despite growing evidence of heterogeneity in CVC designs, managers continue to have limited insights for designing and running such CVC units. In contrast to previous recommendations to use structural attributes and/or institutional logics to design and manage CVCs, we provide managers an organizational search lens which reveals significant variations in how corporations search for new ventures. We identified two extreme CVC designs driven by the locus of problem formulation (internal vs. external): order‐takers—who respond to a predefined and corporate‐led problem formulation approach, and free‐birds—who shape the problem formulation guided by venture market dynamics. We point to design differences across popular CVC subprocesses which can be handy for managers.
Investigating Hydrogen Bonding Interactions in Aniline‐Acetone Binary Mixture through Molecular Dynamics Simulations
Authors: Ajmal Rahman M. K. , Abdulkareem U. , Swathi P. V. , Madhurima V. 
Published: June 2024

AbstractBinary liquid systems serve as valuable prototypes for comprehending biologically and chemically relevant properties of hydrogen bonds, revealing both noteworthy patterns and anomalies in their behaviour. Aniline, acetone and their binary mixtures with other liquids are used in various industrial processes, drug design, and as cleaning agents. This study is a molecular dynamics exploration of aniline and acetone binary mixture, over a concentration range of 9 : 1–1 : 9 for each component. The investigation includes employing techniques such as radial distribution function (RDF), coordination number calculation, hydrogen bond statistics, and graph theoretical analysis (GTA) through the NetworkX module in python, cluster analysis, Voronoi entropy calculation, interaction energy calculation and FTIR spectroscopy for all concentrations studied. The results uncover a compelling trend: a decrease in the number of hydrogen bonds as the concentration of acetone increases. Additionally, increased acetone concentration correlates positively with the breakdown of larger and more complex hydrogen‐bonded structures, indicating the formation of small hydrogen‐bond structures.
Green Biosynthesis of TiO2Nanoparticles Using Aqueous Extract ofBrassica juncea(L.) Czern Seed: Characterization, Antimicrobial, Antioxidant and Anticancer Activities
Authors: Jeyaraj S. , Mary Saral A. 
Published: June 2024

AbstractPrimary objective of this research was to examine the biogenic production of TiO2NPs usingBrassica juncea (L.)Czern seed and investigate the prospective uses of thus synthesized nanoparticles in the area of biomedicine. The synthesized TiO2NPs were subjected to characterization using several analytical methods namely TEM, UV‐vis, XRD, FE‐SEM, FTIR and EDAX. The average particle size (TEM) is found to be 38 nm, exhibiting irregular shapes. The FT‐IR spectra indicated that the extract contains functional groups, such as polyphenolic, hydroxyl and carboxylic groups, which are likely responsible for formation of nanoparticles. The cytotoxicity studies of the synthesized TiO2NPs against breast cancer cells (MCF‐7) and lung cells (A549) are shown to be dosage dependent. The inhibitory doses (IC50) were determined to be 43.98 μg/mL and 74.50 μg/mL on MCF‐7 and A549 cells, respectively. Green synthesized TiO2NPs were assessed for antioxidant activity inhibition rate (DPPH 89.42 %). TiO2NPs exhibited a maximal zone of inhibition of Staphylococcus aureus 23±0.20 mm against and 20±0.30 against Klebsiella pneumoniae at a concentration of 100 μg/mL, indicating strong antibacterial activity. The findings suggestBrassica juncea (L.)Czern seed encapsulated TiO2NPs possesses excellent biological applications which can be explored for its application in pharmaceutical field.
Bioinspired Zwitterionic Nanowires with Simultaneous Biofouling Reduction and Release
Authors: Wang Jing , Macdonald Brian , Cho Tae H. , Repetto Taylor , Sun Kai , Tuteja Anish , Dasgupta Neil P. 
Published: June 2024

AbstractMarine biofouling is a complex and dynamic process that significantly increases the carbon emissions from the maritime industry by increasing drag losses. However, there are no existing non‐toxic marine paints that can achieve both effective fouling reduction and efficient fouling release. Inspired by antifouling strategies in nature, herein, a superoleophobic zwitterionic nanowire coating with a nanostructured hydration layer is introduced, which exhibits simultaneous fouling reduction and release performance. The zwitterionic nanowires demonstrate >25% improvement in fouling reduction compared to state‐of‐the‐art antifouling nanostructures, and four times higher fouling‐release compared to conventional zwitterionic coatings. Fouling release is successfully achieved under a wall shear force that is four orders of magnitude lower than regular water jet cleaning. The mechanism of this simultaneous fouling reduction and release behavior is explored, and it is found that a combination of 1) a mechanical biocidal effect from the nanowire geometry, and 2) low interfacial adhesion resulting from the nanostructured hydration layer, are the major contributing factors. These findings provide insights into the design of nanostructured coatings with simultaneous fouling reduction and release. The newly established synthesis procedure for the zwitterionic nanowires opens new pathways for implementation as antifouling coatings in the maritime industry and biomedical devices.
Strong Metal‐Support Interaction Modulation between Pt Nanoclusters and Mn3O4 Nanosheets through Oxygen Vacancy Control to Achieve High Activities for Acidic Hydrogen Evolution
Authors: Hu Dongxiong , Wang Yongjie , Chen Weiheng , Jiang Zhongqing , Deng Binglu , Jiang Zhong‐Jie 
Published: June 2024

AbstractThe optimization of metal‐support interactions is used to fabricate noble metal‐based nanoclusters with high activity for hydrogen evolution reaction (HER) in acid media. Specifically, the oxygen‐defective Mn3O4 nanosheets supported Pt nanoclusters of ≈1.71 nm in diameter (Pt/V·‐Mn3O4 NSs) are synthesized through the controlled solvothermal reaction. The Pt/V·‐Mn3O4 NSs show a superior activity and excellent stability for the HER in the acidic media. They only require an overpotential of 19 mV to drive −10 mA cm−2 and show negligible activity loss at −10 and −250 mA cm−2 for >200 and >60 h, respectively. Their Pt mass activity is 12.4 times higher than that of the Pt/C and even higher than those of many single‐atom based Pt catalysts. DFT calculations show that their high HER activity arises mainly from the strong metal‐support interaction between Pt and Mn3O4. It can facilitate the charge transfer from Mn3O4 to Pt, optimizing the H adsorption on the catalyst surface and promoting the evolution of H2 through the Volmer–Tafel mechanism. The oxygen vacancies in the V·‐Mn3O4 NSs are found to be inconducive to the high activity of the Pt/V·‐Mn3O4 NSs, highlighting the great importance to reduce the vacancy levels in V·‐Mn3O4 NSs.
Influence of end restraint strength on the structural fire behavior and deterioration mechanism of RC frame beams
Authors: Lu Limin , Zhao Zixian , Xu Weihao , Wang Shouxing , Li Kang , Yuan Guanglin , Shu Qianjin , Yuan Yong , Taerwe Luc 
Published: June 2024

AbstractThe end restraint strength of the reinforced concrete (RC) beams under the fire conditions may greatly influence the inner force redistribution and the structural behavior of the beams, even the stability of the whole structure. The structural fire behavior of two full‐scale frame beams with different end restraint strength under load were studied based on experiment and simulation. The temperature field, reinforcement strain, beam deflection, end axial displacement, and rotation angle of the structure during the whole heating and cooling process were measured. The influence of end restraint strength on the structural behavior was analyzed. The results show that the vertical displacement, axial force, end bending moment, and angular displacement first increase rapidly, then decrease gradually and become stable in the whole process; the lateral displacement increases first and then stabilizes; the change of axial and rotational deformations appeared to be non‐proportional with the corresponding restraining forces, reflecting that the axial and the rotational restraint strength at the ends of the beams decreased with the rise of temperature. The restraining strength of beams that submitted to fire globally decreased faster, and leading to a severe fire response and an earlier failure of the structure. The analysis results and the conclusions will supply scientific basis for the fire‐resistance design and safety evaluation on complex structures.
A multi-omics approach to elucidate okadaic acid-induced changes in human HepaRG hepatocarcinoma cells
Authors: Wuerger Leonie T. D. , Sprenger Heike , Krasikova Ksenia , Templin Markus , Stahl Aaron , Herfurth Uta M. , Sieg Holger , Braeuning Albert 
Published: June 2024

AbstractOkadaic acid (OA), a prevalent marine biotoxin found in shellfish, is known for causing acute gastrointestinal symptoms. Despite its potential to reach the bloodstream and the liver, the hepatic effects of OA are not well understood, highlighting a significant research gap. This study aims to comprehensively elucidate the impact of OA on the liver by examining the transcriptome, proteome, and phosphoproteome alterations in human HepaRG liver cells exposed to non-cytotoxic OA concentrations. We employed an integrative multi-omics approach, encompassing RNA sequencing, shotgun proteomics, phosphoproteomics, and targeted DigiWest analysis. This enabled a detailed exploration of gene and protein expression changes, alongside phosphorylation patterns under OA treatment. The study reveals concentration- and time-dependent deregulation in gene and protein expression, with a significant down-regulation of xenobiotic and lipid metabolism pathways. Up-regulated pathways include actin crosslink formation and a deregulation of apoptotic pathways. Notably, our results revealed that OA, as a potent phosphatase inhibitor, induces alterations in actin filament organization. Phosphoproteomics data highlighted the importance of phosphorylation in enzyme activity regulation, particularly affecting proteins involved in the regulation of the cytoskeleton. OA's inhibition of PP2A further leads to various downstream effects, including alterations in protein translation and energy metabolism. This research expands the understanding of OA's systemic impact, emphasizing its role in modulating the phosphorylation landscape, which influences crucial cellular processes. The results underscore OA's multifaceted effects on the liver, particularly through PP2A inhibition, impacting xenobiotic metabolism, cytoskeletal dynamics, and energy homeostasis. These insights enhance our comprehension of OA's biological significance and potential health risks.
Rocaglamide promotes infiltration and differentiation of T cells and coordinates with PD-1 inhibitor to overcome checkpoint resistance in multiple tumor models
Authors: Luo Jiaojiao , Ng Wanyi , Liu Yangli , Wang Lixin , Gong Chenyuan , Zhou Yufu , Fang Cheng , Zhu Shiguo , Yao Chao 
Published: June 2024

AbstractTumor-infiltrating lymphocyte (TIL) deficiency is the most conspicuous obstacle to limit the cancer immunotherapy. Immune checkpoint inhibitors (ICIs), such as anti-PD-1 antibody, have achieved great success in clinical practice. However, due to the limitation of response rates of ICIs, some patients fail to benefit from monotherapy. Thus, novel combination therapy that could improve the response rates emerges as new strategies for cancer treatment. Here, we reported that the natural product rocaglamide (RocA) increased tumor-infiltrating T cells and promoted Th17 differentiation of CD4+ TILs. Despite RocA monotherapy upregulated PD-1 expression of TILs, which was considered as the consequence of T cell activation, combining RocA with anti-PD-1 antibody significantly downregulated the expression of PD-1 and promoted proliferation of TILs. Taken together, these findings demonstrated that RocA could fuel the T cell anti-tumor immunity and revealed the remarkable potential of RocA as a therapeutic candidate when combining with the ICIs.
The biological roles of CD47 in ovarian cancer progression
Authors: Xing Linan , Wang Zhao , Feng Yue , Luo Haixia , Dai Guijiang , Sang Lin , Zhang Chunlong , Qian Jianhua 
Published: June 2024

AbstractOvarian cancer is one of the most lethal malignant tumors, characterized by high incidence and poor prognosis. Patients relapse occurred in 65–80% after initial treatment. To date, no effective treatment has been established for these patients. Recently, CD47 has been considered as a promising immunotherapy target. In this paper, we reviewed the biological roles of CD47 in ovarian cancer and summarized the related mechanisms. For most types of cancers, the CD47/Sirpα immune checkpoint has attracted the most attention in immunotherapy. Notably, CD47 monoclonal antibodies and related molecules are promising in the immunotherapy of ovarian cancer, and further research is needed. In the future, new immunotherapy regimens targeting CD47 can be applied to the clinical treatment of ovarian cancer patients.
Enhanced abscopal anti-tumor response via a triple combination of thermal ablation, IL-21, and PD-1 inhibition therapy
Authors: Wu Shaoxian , Jiang Hongwei , Fang Zhang , Wu You , Jiao Jing , Fang Weiwei , Wu Yue , Lang Yanyan , Chen Ning , Zhong Ziyang , Chen Lujun , Zheng Xiao , Lu Binfeng , Jiang Jingting 
Published: June 2024

AbstractDespite the success of immune checkpoint inhibitors (ICIs) in treating solid tumors, lots of patients remain unresponsive to this therapy. Microwave ablation (MWA) stimulates systemic adaptive immunity against tumor cells by releasing tumor antigens. Additionally, IL-21 has demonstrated importance in stimulating T-cell effector function. The combination of these three therapies—MWA, IL-21, and anti-PD-1 monoclonal antibodies (mAbs)—has yet to be explored in the context of cancer treatment.In this study, we explored the impact of thermal ablation on IL-21R expression in tumor-infiltrating lymphocytes (TILs). Subsequently, we assessed alterations in the tumor microenvironment (TME) and peripheral lymphoid organs. Additionally, we conducted a thorough examination of tumor-infiltrating CD45+ immune cells across various treatment groups using single-cell RNA sequencing (scRNA-seq). Moreover, we determined the potential anti-tumor effects of the triple combination involving MWA, IL-21, and anti-PD-1 mAbs.Our findings revealed that MWA upregulated the expression of IL-21R on various immune cells in the untreated tumors. The combination of MWA with IL-21 exhibited a robust abscopal anti-tumor effect, enhancing the effector function of CD8+ T cells and facilitating dendritic cells' maturation and antigen presentation in the untreated tumor. Notably, the observed abscopal anti-tumor effect resulting from the combination is contingent upon T-cell recirculation, indicating the reliance of systemic adaptive immunity for this treatment regimen. Additionally, the combination of MWA, IL-21, and PD-1 mAbs demonstrated profound abscopal anti-tumor efficacy. Our findings provide support for further clinical investigation into a triple combination therapy involving MWA, IL-21, and ICIs for the treatment of metastatic cancer.
Combined use of tyrosine kinase inhibitors with PD-(L)1 blockade increased the risk of thyroid dysfunction in PD-(L)1 blockade: a prospective study
Authors: Kobayashi Tomoko , Iwama Shintaro , Yamagami Ayana , Izuchi Tetsushi , Suzuki Koji , Otake Koki , Yasuda Yoshinori , Ando Masahiko , Onoue Takeshi , Miyata Takashi , Sugiyama Mariko , Hagiwara Daisuke , Suga Hidetaka , Banno Ryoichi , Hase Tetsunari , Nishio Naoki , Mori Shoichiro , Shimokata Tomoya , Sano Tomoyasu , Niimi Kaoru , Yoshikawa Nobuhisa , Akamatsu Shusuke , Ando Yuichi , Akiyama Masashi , Sone Michihiko , Ishii Makoto , Arima Hiroshi 
Published: June 2024

Abstract
Background
Anti-programmed cell death-1 (ligand-1) antibody [PD-(L)1-Ab] can cause destructive thyroiditis and/or hypothyroidism. In addition, tyrosine kinase inhibitors (TKIs) frequently induce hypothyroidism. The aim of this prospective study is to examine the incidence and clinical characteristics of thyroid dysfunction induced by combination therapy of a PD-(L)1-Ab and TKI [PD-(L)1-Ab/TKI].

Methods
A total of 757 patients treated with PD-(L)1-Ab or PD-(L)1-Ab/TKI were evaluated for anti-thyroid antibodies (ATAs) at baseline and for thyroid function for 48 weeks after treatment initiation and then observed until the last visit.

Results
The cumulative incidences of destructive thyroiditis [4/23 (17.4%) vs. 45/734 (6.1%) patients, p < 0.001], isolated hypothyroidism [10/23 (43.5%) vs. 29/734 (4.0%) patients, p < 0.001], and all thyroid dysfunction [14/23 (60.9%) vs. 74/734 (10.1%) patients, p < 0.001] were significantly higher in the PD-(L)1-Ab/TKI group than PD-(L)1-Ab group, respectively. All patients positive for ATAs at baseline developed thyroid dysfunction after PD-(L)1-Ab/TKI treatment, a significantly higher incidence than that in those negative for ATAs at baseline [4/4 (100%) vs. 10/19 (52.6%) patients, p = 0.026].

Conclusions
The addition of TKIs increased the risk of thyroid dysfunction induced by PD-(L)1-Ab, with the risk being higher in patients positive for baseline ATAs.
Deep learning-based image segmentation for instantaneous flame front extraction
Authors: Strässle Ruben M. , Faldella Filippo , Doll Ulrich 
Published: June 2024

AbstractThis paper delves into the methodology employed in examining lean premixed turbulent flame fronts extracted from Planar Laser Induced Fluorescence (PLIF) images at elevated pressures. In such flow regimes, the PLIF signal suffers from significant collisional quenching, typically resulting in image data with low signal-to-noise ratio (SNR). This poses severe difficulties for conventional flame front extraction algorithms based on intensity gradients and requires intense user intervention to yield acceptable results. In this work, we propose Convolutional Neural Network (CNN)-based Deep Learning (DL) models as an alternative to problem specific conventional methods. The pretrained DL models were fine-tuned, employing data augmentation, on a small annotated dataset including a variety of conditions between SNR $$\approx$$
≈
1.6 to 2.6 and subsequently evaluated. All DL models significantly outperformed the best-scoring conventional implementation both quantitatively and visually, while having similar inference times. IoU-scores and Recall values were found to be up to a factor $$\approx$$
≈
1.2 and $$\approx$$
≈
2.5 higher, respectively, with $$\approx$$
≈
1.15 times improved Precision. Small-scale structures were captured much better with fewer erroneous predictions, becoming particularly pronounced for the lower SNR data investigated. Moreover, by applying artificially modeled noise, it was shown that the range of image conditions in terms of SNR that can be reliably processed extends well beyond the images included in the training data, and satisfactory segmentation performances were found for SNR as low as $$\approx$$
≈
1.1. The presented DL-based flame front detection algorithm marks a methodology with significantly increased detection performance, while a similar computational effort for inference is achieved and the need for user-based parameter tuning is eliminated. It enables a very accurate extraction of instantaneous flame fronts in large image datasets where supervised processing is infeasible, unlocking unprecedented possibilities for the study of flame dynamics and instability mechanisms at industry-relevant conditions.