bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeted xCT‐mediated Ferroptosis and Protumoral Polarization of Macrophages Is Effective against HCC and Enhances the Efficacy of the Anti‐PD‐1/L1 Response
Authors: Tang Bufu , Zhu Jinyu , Wang Yajie , Chen Weiqian , Fang Shiji , Mao Weiyang , Xu Ziwei , Yang Yang , Weng Qiaoyou , Zhao Zhongwei , Chen Minjiang , Ji Jiansong 
Published: November 2022

AbstractTumor‐associated macrophages (TAMs) play an essential role in tumor progression, metastasis, and antitumor immunity. Ferroptosis has attracted extensive attention for its lethal effect on tumor cells, but the role of ferroptosis in TAMs and its impact on tumor progression have not been clearly defined. Using transgenic mouse models, this study determines that xCT‐specific knockout in macrophages is sufficient to limit tumorigenicity and metastasis in the mouse HCC models, achieved by reducing TAM recruitment and infiltration, inhibiting M2‐type polarization, and activating and enhancing ferroptosis activity within TAMs. The SOCS3‐STAT6‐PPAR‐γ signaling may be a crucial pathway in macrophage phenotypic shifting, and activation of intracellular ferroptosis is associated with GPX4/RRM2 signaling regulation. Furthermore, that xCT‐mediated macrophage ferroptosis significantly increases PD‐L1 expression in macrophages and improves the antitumor efficacy of anti‐PD‐L1 therapy is unveiled. The constructed Man@pSiNPs‐erastin specifically targets macrophage ferroptosis and protumoral polarization and combining this treatment with anti‐PD‐L1 exerts substantial antitumor efficacy. xCT expression in tumor tissues, especially in CD68+ macrophages, can serve as a reliable factor to predict the prognosis of HCC patients. These findings provide further insight into targeting ferroptosis activation in TAMs and regulating TAM infiltration and functional expression to achieve precise tumor prevention and improve therapeutic efficacy.
A Green Route to Benzyl Phenyl Sulfide from Thioanisole and Benzyl Alcohol over Dual Functional Ionic Liquids
Authors: Wu Fengtian , Wang Yuepeng , Qian Yong , Xie Zong‐Bo , Ke Zhengang , Zhao Yanfei , Liu Zhimin 
Published: November 2022

AbstractBenzyl phenyl sulfide is a kind of important chemicals with wide usage, which is mainly prepared through a nucleophilic reaction of thiophenol with benzyl chlorides or benzyl alcohols, suffering from inherent drawbacks, such as low efficiency, requirements for equivalent acid or base catalysts and formation of harmful byproducts and waste. Herein, we report a green route to access various benzyl phenyl sulfide derivatives in good to excellent yields under mild conditions via the reaction of thioanisoles with benzyl alcohols over ionic liquid 1‐propylsulfonate‐3‐methylimidazolium trifluoromethanesulfonate ([SO3HPrMIm][OTf]). Mechanism investigation indicates that the synergic effect of cation and anion of [SO3HPrMIm][OTf] activates thioanisoles and benzyl alcohols via hydrogen bonding, thus catalyzes the dehydration of benzyl alcohol to dibenzyl ether and the subsequent metathesis reaction between dibenzyl ether and benzyl phenyl sulfide, finally generating benzyl phenyl sulfide derivatives. This is a simple, highly efficient, and green approach to produce benzyl phenyl sulfide derivatives, which has promising application potentials.
Ag‐induced Phase Transition of Bi2O3 Nanofibers for Enhanced Energy Conversion Efficiency towards Formate in CO2 Electroreduction
Authors: Wang Xin , He Wenhui , Shi Jialin , Junqueira João R. C. , Zhang Jian , Dieckhöfer Stefan , Seisel Sabine , Das Debanjan , Schuhmann Wolfgang 
Published: November 2022

AbstractBi‐based electrocatalysts have been widely investigated in the CO2 reduction reaction (CO2RR) for the formation of formate. However, it remains a challenge to achieve high Faradaic efficiency (FE) and industrial current densities at low overpotentials for obtaining both high formate productivity and energy efficiency (EE). Herein, we report an Ag−Bi2O3 hybrid nanofiber (Ag−Bi2O3) for highly efficient electrochemical reduction of CO2 to formate. Ag−Bi2O3 exhibits a formate FE of >90% for current densities from −10 to −250 mA ⋅ cm−2 and attains a yield rate of 11.7 mmol ⋅ s−1 ⋅ m−2 at −250 mA ⋅ cm−2. Moreover, Ag−Bi2O3 increased the EE (52.7%) by nearly 10% compared to a Bi2O3 only counterpart. Structural characterization and in‐situ Raman results suggest that the presence of Ag induced the conversion of Bi2O3 from a monoclinic phase (α‐Bi2O3) to a metastable tetragonal phase (β‐Bi2O3) and accelerated the formation of active metallic Bi at low overpotentials (at > −0.3 V), which together contributes to the highly efficient formate formation.
Texts, Practice and Practitioners: Computational Cultures at Work in Early Modern South India**
Authors: Senthil Babu D. 
Published: November 2022

AbstractThis essay will discuss the hegemonic role that texts have come to play in the historiography of subcontinental mathematical traditions. It will argue that texts need to be studied as records of practices of people's working lives, grounded in social hierarchies. We will take particular mathematical texts to show how different occupational registers have come to shape practices that defy the binaries of concrete and abstract, high and low mathematics or the pure and applied conundrum. Measuring, counting and accounting practices as part of the routine work of practitioners performing their caste occupations then provide us with a spectrum of the computational activities that controlled and regulated the lives of people in the past. In the process the act of computing itself gained certain political values such as cunning and manipulation, identified with professions of village accountant and merchant, for example. Drawn from my earlier work on these records, I discuss the occupational role of the accountant as a political functionary who assessed and authenticated the measurements of land and produce in the village, making values of the labor performed by others, and creating avenues for his own proficiency as a mathematical practitioner.
Advances in biomimetic collagen mineralisation and future approaches to bone tissue engineering
Authors: Doyle Michael Eugene , Dalgarno Kenny , Masoero Enrico , Ferreira Ana Marina 
Published: November 2022

AbstractWith an ageing world population and ~20% of adults in Europe being affected by bone diseases, there is an urgent need to develop advanced regenerative approaches and biomaterials capable to facilitate tissue regeneration while providing an adequate microenvironment for cells to thrive. As the main components of bone are collagen and apatite mineral, scientists in the tissue engineering field have attempted in combining these materials by using different biomimetic approaches to favour bone repair. Still, an ideal bone analogue capable of mimicking the distinct properties (i.e., mechanical properties, degradation rate, porosity, etc.) of cancellous bone is to be developed. This review seeks to sum up the current understanding of bone tissue mineralisation and structure while providing a critical outlook on the existing biomimetic strategies of mineralising collagen for bone tissue engineering applications, highlighting where gaps in knowledge exist.
Conceptualising active management of paradoxical tensions in corporate sustainability: A systematic literature review
Authors: Alosi Alice , Annunziata Eleonora , Rizzi Francesco , Frey Marco 
Published: November 2022

AbstractDespite the growing literature on paradox theory in corporate sustainability (CS), there is a lack of systematic analyses of both the antecedents and the maintenance of the active strategy for managing paradoxical tensions. This systematic literature review examines the individual, organisational and inter‐organisational antecedents, hereinafter roots of paradoxes (RPs), behind the active strategies aimed at managing paradoxical tensions in CS. The paper also analyses the active and defensive strategies used to manage paradoxical tensions at the organisational level, considering the role of both organisational strategic levels (corporate, business, tactical and operational) and inter‐organisational relationships. This review provides an integrative framework of the individual, organisational and inter‐organisational RPs and practices favouring the adoption of active strategies for managing paradoxical tensions. The analysis of the dynamics of transition from active to defensive strategies also highlights that the long‐term implementation of the active strategy requires its stratification within the organisational strategic levels. This study contributes to the literature on paradox theory in CS by understanding the mechanisms that sustain active management. Managerial implications are also illustrated.
Macromolecular nanoparticles to attenuate both reactive oxygen species and inflammatory damage for treating Alzheimer's disease
Authors: Zhang Bosong , Zhao Yufang , Guo Kai , Tian Hui , Wang Cao , Wang Ruiqi , Chen Yue , Chen Xiongbiao , Zheng Hongxia , Gao Bingxin , Shen Jieyi , Tian Weiming 
Published: November 2022

AbstractPrevention and early intervention are the current focus of treatment for Alzheimer's disease (AD). An increase in reactive oxygen species (ROS) is a feature of the early stages of AD, thus suggesting that the removal of excess ROS can be a viable method of improving AD. Natural polyphenols are able to scavenge ROS and thus promising for treating AD. However, some issues need to be addressed. Among them, important are that most polyphenols are hydrophobic, have low bioavailability in the body, are easily degraded, and that single polyphenols have insufficient antioxidant capacity. In this study, we employed two polyphenols, resveratrol (RES) and oligomeric proanthocyanidin (OPC), and creatively grafted them with hyaluronic acid (HA) to form nanoparticles to address the aforementioned issues. Meanwhile, we strategically grafted the nanoparticles with the B6 peptide, enabling the nanoparticles to cross the blood–brain barrier (BBB) and enter the brain for AD treatment. Our results illustrate that B6‐RES‐OPC‐HA nanoparticles can significantly scavenge ROS, reduce brain inflammation, and improve learning and memory ability in AD mice. B6‐RES‐OPC‐HA nanoparticles have the potential to prevent and alleviate early AD.
Adverse childhood experiences: Pathways to internalising and externalising problems in young adulthood
Authors: Gomis‐Pomares Aitana , Villanueva Lidón 
Published: November 2022

AbstractAlthough adverse childhood experiences have been closely linked to a variety of adjustment difficulties in adulthood, less is known about which specific adverse experience or combinations of experiences are differentially predictive of internalising and externalising problems. This would undoubtedly enhance early adverse childhood experiences prevention and intervention programmes. Therefore, this research aims to explore the impact of adverse childhood experiences (abuse and neglect) on deviant behaviour, as well as depressive, anxious and stress symptoms in a community sample of Spanish young adults aged 18–20 years old (N = 270). All participants were recruited using convenience and snowball sampling methods as part of the International Study SOCIALDEVIANCE1820. All answered self‐report questionnaires about sociodemographic issues, adverse childhood experiences as well as current deviant behaviour and current internalising symptoms. Regression and fuzzy‐set qualitative comparative analysis showed that experiencing either physical abuse or a combination of emotional abuse and emotional neglect may lead to externalising problems in men. Internalising problems, however, were linked to the cumulative effect of multiple adverse experiences and were more frequent in women. These pathways to both externalising and internalising problems suggest a differential impact of adverse experiences.
School‐based interventions to reduce teacher violence against children: a systematic review
Authors: Baumgarten Ella , Simmonds Mark , Mason‐Jones Amanda J. 
Published: November 2022

AbstractWhilst teacher violence against children at school is a significant global issue, it remains a form of child abuse that is rarely explored. The aim of this study was to systematically review the global literature on the effectiveness of school‐based interventions to reduce teacher violence against children. MEDLINE, Embase, ASSIA, CINAHL Complete, ERIC and clinical trials.gov databases were searched from inception to 21 April 2022. Four cluster randomised controlled trials were retrieved from Uganda, Tanzania and Jamaica. The number of schools per study (cluster size) varied from 8 to 42 schools with between 55 and 591 teachers and 220–4789 students. The average student age was between 7 and 15 years old and, on average, the teachers were between 30 and 42 years old. The interventions aimed to reduce teacher violence against children and incorporated teacher training workshops that targeted teacher–student relationships by promoting positive discipline techniques and nurturing learning environments. The use of teacher violence was significantly reduced among intervention groups. This suggests that these interventions may effectively decrease teacher violence against children and therefore should be advocated more widely.
Effect of an mHealth intervention on physical activity outcomes among young adult cancer survivors: The IMPACT randomized controlled trial
Authors: Valle Carmina G. , Diamond Molly A. , Heiling Hillary M. , Deal Allison M. , Hales Derek P. , Nezami Brooke T. , Pinto Bernardine M. , LaRose Jessica Gokee , Rini Christine M. , Tate Deborah F. 
Published: November 2022

AbstractBackgroundPhysical inactivity is common in young adult cancer survivors (YACS), but evidence regarding effects of physical activity (PA) interventions among YACS is limited. The IMproving Physical Activity after Cancer Treatment (IMPACT) trial evaluated a theory‐based mobile PA intervention on total PA minutes/week (primary) and secondary outcomes (moderate‐to‐vigorous PA [MVPA], light PA, steps, sedentary behaviors) at 6 months in YACS.MethodsYACS (N = 280) were randomized to an intervention group or self‐help group. All participants received digital tools (activity tracker, smart scale, access to arm‐specific Facebook group) and an individual video chat session. Intervention participants also received a 6‐month program with behavioral lessons, adaptive goal‐setting, tailored feedback, tailored text messages, and Facebook prompts. PA was assessed via accelerometry and questionnaires at baseline and 6 months. Generalized estimating equation analyses tested between‐group differences in changes over time.ResultsOf 280 YACS, 251 (90%) completed the 6‐month accelerometry measures. Accelerometer‐measured total PA minutes/week changed from 1974.26 at baseline to 2024.34 at 6 months in the intervention (mean change, 55.14 [95% CI, −40.91 to 151.19]) and from 1814.93 to 1877.68 in the self‐help group (40.94 [95% CI, −62.14 to 144.02]; between‐group p = .84). Increases in MVPA were +24.67 minutes/week (95% CI, 14.77–34.57) in the intervention versus +11.41 minutes/week in the self‐help (95% CI, 1.44–21.38; between‐group p = .07).ConclusionAlthough the intervention did not result in significant differences in total PA, the increase in MVPA relative to the self‐help group might be associated with important health benefits. Future research should examine moderators to identify for whom, and under what conditions, the intervention might be effective.ClinicalTrials.gov Identifier: NCT03569605.Plain Language Summary

Physical inactivity is common in young adult cancer survivors. However, few interventions have focused on helping young adult cancer survivors to get more physical activity.

The IMproving Physical Activity after Cancer Treatment trial compared a mobile health physical activity intervention with a self‐help group on total amount of physical activity at 6 months in a nationwide sample of young adult cancer survivors.

Intervention participants did not improve their total amount of physical activity, but they did increase their moderate‐to‐vigorous intensity physical activity by twice as much as the self‐help participants. This increase in activity may be associated with health benefits.
Near duplicate detection of images with area and proposed pixel‐based feature extraction
Authors: Governor Kalaiarasi , Ramanujam Padmavathy , Mana Suja Cherukullapurath , Perumal Geetha 
Published: November 2022

SummaryEfficient and accurate near‐duplicate recognition is the trendy research area. Identification of invalid near‐duplicate images offers a wide range of applications, including digital picture forensics, web‐scale retrieval, and, social media analysis. This article intends to introduce a novel near duplicate detection model of images that consists of two stages such as (i) feature extraction and (ii) similarity computation. Originally, the image database is subjected to extracting the features, in which the area‐based features and pixel‐based features are extracted. Here, the area‐based feature extraction includes the contrast context histogram (CCH‐descriptors) and improved weighted bag of visual word (w‐BovW) features; the pixel‐based feature extraction includes the texture features like the proposed local vector pattern. Once the query image is given as the input, it is subjected to the feature extraction stage. Then, the feature vector database and the extracted features of query images are evaluated under similarity computation via improved Jaccard similarity evaluation. Thus, the near duplicate detection of the image is obtained in an effective manner.
Epigenetic modulation enhances immunotherapy for pancreatic ductal adenocarcinoma
Authors: Li Yan , Hong Young K , Wang Xingtong , Pandit Harshul , Zheng Qianqian , Yu Youxi , Shi Xiaoju , Chen Yujia , Tan Min , Pulliam Zachary , Bhutiani Neal , Lin Andrew , Badach Jeremy , Zhang Ping , Martin Robert CG 
Published: November 2022

AbstractObjectivesPancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with a poor prognosis. PDAC has poor response to immunotherapy because of its unique tumour microenvironment (TME). In an attempt to stimulate immunologically silent pancreatic cancer, we investigated the role of epigenetic therapy in modulating the TME to improve immunogenicity.MethodsIn vitro human PDAC cell lines MiaPaca2 and S2‐013 were treated with 5μm 3‐Deazaneplanocin A (DZNep, an EZH2 inhibitor) and 5 μm 5‐Azacytidine (5‐AZA, a DNMT1 inhibitor). In vivo orthotopic murine tumour models using both murine PAN02 cells and KPC cells inoculated in immunocompetent C56/BL7 mice were treated with anti‐PD‐L1 combined with DZNep and 5‐AZA. Short hairpin knockdown (KD) of EZH2 and DNMT1 in PAN02 cells for the orthotopic murine tumour model was established to validate the drug treatment (DZNep and 5‐AZA). qRT‐PCR and microarray assays were performed for the evaluation of Th1‐attracting chemokines and cancer‐associated antigen induction.ResultsDrug treatments induced significant upregulation of gene expressions of Th1‐attracting chemokines, CXCL9 and CXCL10, and the cancer–testis antigens, NY‐ESO‐1, LAGE and SSX‐4 (P < 0.05). In orthotopic tumour models, inoculation of PAN02 cells or KPC cells demonstrated significant tumour regression with corresponding increased apoptosis and infiltration of cytotoxic T lymphocytes in the combination treatment group. In the orthotopic Pan02‐KD model, the anti‐PD‐L1 treatment also caused significant tumour regression.ConclusionWe demonstrate that immunotherapy for PDAC can be potentiated with epigenetic therapy by increasing cancer‐associated antigen expression and increased T‐cell trafficking across the immunosuppressive tumour microenvironment via upregulation of the repressed chemokines and increased apoptosis with subsequent tumour regression.
A transformer‐based end‐to‐end data‐driven model for multisensor time series monitoring of machine tool condition
Authors: Joanes Agung' Oroko , James Kimotho , Samuel Kabini , Evan Murimi 
Published: November 2022

AbstractOnline determination of a cutter's health status is crucial for the attainment of condition‐based automated tool change in computer numerically controlled (CNC) machining. Due to the impracticalities associated with direct condition measurements, data‐based modeling of monitoring signals provides a viable practical route. However, the highly noisy and redundant nature of the associated data impacts negatively on model's accuracy and typically calls for additional initial preprocessing before modeling. Additionally, the long sequential data entails widely varying condition distributions exhibited by different cutters, even from the same batch on similar machining parameters, posing a challenge to model generalization. An end‐to‐end model has thus been developed to work directly on unprocessed data to establish global sensitive features from varying distributions for online tool wear estimation in CNC machining. The model utilizes three main functional blocks. First, a data denoising and feature selection block automatically processes raw multisensor data directly, dispensing with scaling or preprocessing of inputs as conventionally done. Each sensor channel's independence is preserved at initial processing ensuring complementary information from different sensors is utilized while simultaneously minimizing existing redundancies. The weighted denoised data is then processed through a transformer encoder block for determination of global dependencies in the time‐series sequence, regardless of the time‐step position. The learned features are then fed to an upper supervised learning block for association with the monitored wear condition. The developed model works directly on raw noisy data irrespective of scaling differences, saving on preprocessing computational cost. The global associations extracted on long sequences by the transformer‐encoder allow for model generalization to varying wear distributions. The parallel processing structure of all channels ensures complementary information is utilized minimizing unforeseen model bias. The model's performance as evaluated on experimental milling data and further comparison with other reported models on same dataset shows attainment of comparable state‐of‐art results.