bluuebunny/crossref_metadata_2025 huggingface dataset:
Diminished Adolescent Social Well-Being During the COVID-19 Pandemic
Authors: Furlong Michael J. , Chan Mei-ki , Dowdy Erin , Nylund-Gibson Karen
Published: March 2024

Managing the COVID-19 pandemic involved implementing public health policies that disrupted students’ lives, creating conditions that substantially influenced their mental health and well-being. Subsequently, research focused on the mental health sequelae of increased depression and anxiety, but the possible impacts on adolescents’ social well-being have been largely unexamined. Social well-being is essential to youth’s overall mental health and can be diminished even without symptoms of depression and anxiety. This report explored heterogeneities in changes in adolescents’ social well-being from pre-COVID-19 to post-restrictions using longitudinal data from adolescents attending middle and high schools in California (N = 1,299; 49.9% female). Data collection involved four observations. Participants completed a school-based mental health wellness survey annually from 2019 to 2022. A latent profile analysis identified five profiles demonstrating distinctive social well-being trajectories. Two ordered profiles included Stable-High (28%) and Stable-Low (26%) patterns. Three groups represented nonordered profiles labeled as Succumbing (20%), Languishing (14%), and Recovering (12%). Pervasive decreases in social well-being were observed, and a significant portion of the adolescents did not recover to their pre-COVID-19 level by 2022. Adolescents in the Stable-High and Recovering profiles showed better psychological well-being, optimism, and school connectedness and less distress than their counterparts in the other three profiles. Mental health professionals should be aware of the pandemic’s effects on adolescents’ social well-being. Lower levels of social well-being may be a risk factor for adolescents developing generally jaded attitudes about their social networks and diminishing their potential engagement with sources of social support.
The impact of different clinicopathologic factors and salvage therapies on cervical cancer patients with isolated para-aortic lymph node recurrence
Authors: Fang Chenyan , Zhu Yinfeng , Zhang Ping , Zhu Tao , Zhang Yingli
Published: March 2024

Background

Cervical cancer patients with isolated para-aortic lymph nodes (PALN) recurrence were mainly associated with treatment failure. For these patients, radiotherapy, chemotherapy, surgery ± adjuvant therapy or chemoradiotherapy may be advised, however, no specific therapy has been proposed yet. This study aimed to explore factors influencing the prognosis of cervical cancer cases with isolated PALN recurrence and to find out an effective salvage therapy.

Methods

Cervical cancer cases with isolated PALN recurrence who received therapies in Zhejiang Cancer Hospital between January 2013 and June 2021 were analyzed retrospectively.

Results

Carcinoembryonic antigen (CEA) level > 10 ng/mL and positron emission tomography/computed tomography (PET/CT) imaging method used to detect the recurrence were found to be associated with the local control rate. PALN (positive), squamous-cell carcinoma-antigen (SCC-Ag) level (> 10 ng/mL) upon initial diagnosis, and CEA level (> 10 ng/mL), number of metastatic lymph nodes (several) at recurrence were associated with worse survival. Compared with surgery ± adjuvant therapy, chemotherapy (CT) alone or sequential chemoradiotherapy (SCRT) was associated with worse PFS or OS. Concurrent chemoradiotherapy (CCRT) after PALN recurrence could reduce the risk of the second recurrence. 3-year OS of cases after surgery ± adjuvant therapy was the highest (65%), followed by CCRT (45.7%), SCRT (38.9%), radiotherapy (RT) (33.3%), and CT (20.6%).

Conclusion

In cervical cancer patients with isolated PALN recurrence, chemoradiotherapy or surgery ± adjuvant therapy may be preferred as the salvage treatment.
Dynamic monitoring of a masonry arch rail bridge using a distributed fiber optic sensing system
Authors: Cheng Liangliang , Cigada Alfredo , Zappa Emanuele , Gilbert Matthew , Lang Zi-Qiang
Published: March 2024

Masonry arch bridges are an integral part of the European transportation infrastructure. Regular inspections are critical to ensure the safe operation of these bridges and also to preserve historical heritage. Despite recent advancements in assessment techniques, monitoring masonry arch bridges remains a difficult and important research topic. This paper describes a proof-of-concept study carried out on a masonry arch rail bridge in Gavirate, Italy, to investigate the dynamic responses of the bridge to train-induced moving loads. The dynamic measurements are obtained by a distributed fiber optic sensing system that enables a novel inspection of the integrity of masonry arch bridges. The focus of this field study is to quantify the dynamic strain induced by train moving loads and reveal the masonry arch bridge’s dynamic behaviors through the use of an innovative distributed fiber optical sensing-based technique. The results may provide a useful guideline for the application of distributed fiber optical sensing to monitoring masonry arch bridges.
Design of Resilient Sensor Networks Balancing Resilience and Efficiency
Authors: Vecherin Sergey N. , Ratmanski Kiril D. , Hogewood Luke , Linkov Igor
Published: March 2024

In recent years, the notion of resilience has been developed and applied in many technical areas, becoming exceptionally pertinent to disaster risk science. During a disaster situation, accurate sensing information is the key to efficient recovery efforts. In general, resilience aims to minimize the impact of disruptions to systems through the fast recovery of critical functionality, but resilient design may require redundancy and could increase costs. In this article, we describe a method based on binary linear programming for sensor network design balancing efficiency with resilience. The application of the developed framework is demonstrated for the case of interior building surveillance utilizing infrared sensors in both two- and three-dimensional spaces. The method provides optimal sensor placement, taking into account critical functionality and a desired level of resilience and considering sensor type and availability. The problem formulation, resilience requirements, and application of the optimization algorithm are described in detail. Analysis of sensor locations with and without resilience requirements shows that resilient configuration requires redundancy in number of sensors and their intelligent placement. Both tasks are successfully solved by the described method, which can be applied to strengthen the resilience of sensor networks by design. The proposed methodology is suitable for large-scale optimization problems with many sensors and extensive coverage areas.
Combined effect mechanism of linear loading and disturbance with different amplitudes on sandstone
Authors: Yanhao Ning , Quanle Zou , Yansong Ning , Xiaoli Zhou , Bichuan Zhang
Published: March 2024

To comprehend the stress state and response characteristics of materials under complex conditions, researchers have decomposed stress states into fundamental paths and investigated diverse path combinations. To ensure comparability, four identical samples were carefully selected from a pool of 100 samples using ultrasonic tests based on the wave speed and waveform characteristics. These samples underwent specially designed stress paths to analyze the combined effects of linear loading and perturbation. Our result analysis centred on the perturbation amplitude and stress levels during composite action, revealing intricate relationships between the stress levels, strain, and nonlinear/linear energy evolution under complex stress paths. Simultaneously, 3D surface fractures were precisely reconstructed using the YOLOv5 and FAST feature point detection algorithms, elucidating the evolving patterns of the fractures. As a result of our study, the rotation trend of the main fracture was validated by integrating mechanics and P-wave reflection rules. Notably, our experimental results closely aligned with the theoretical predictions, showing the reliability of our study. These findings can significantly contribute to guiding safety protocols in the field of underground engineering.
Optimization of ultrasound-assisted extraction of Nigella sativa seed oil for enhancement of yield and antioxidant activity
Authors: Dar Ishfaq Hamid , Junaid Pir Mohammad , Ahmad Saghir , Shams Rafeeya , Dash Kshirod Kumar , Shaikh Ayaz Mukarram , Béla Kovács
Published: March 2024

The seeds of Nigella sativa have been shown to contain a number of constituents that have nutritional and therapeutic characteristics. The oil extracted from the seeds of Nigella sativa has been traditionally used in food systems with reference to its medicinal properties. The different bioactive compounds present in the Nigella sativa seed oil consist of polyphenols which offer a fair amount of antioxidant activity to the oil. Most of these bioactive compounds are generally heat sensitive and prone to oxidation. During the processing and storage, there is loss of antioxidant activity of the oil and the associated bioactivity. This occurs primarily due to the effects of temperature and other environmental factors during processing and storage. Under this background, this study was undertaken with the aim of extracting the Nigella sativa seed oil in order to ensure the improved retention of antioxidant and bioactive characteristics in the essential oil. The extraction of Nigella sativa seed oil was carried out using ultrasound-assisted extraction technique using hexane as solvent. The process was optimized using response surface methodology in order to enhance the yield and antioxidant activity of the extracted Nigella sativa seed oil. The effect of different processing parameters was evaluated on the yield and antioxidant activity. The process variables included the extraction temperature, extraction time and solvent concentration. It was observed that all the factors had significant effect on the yield and antioxidant activity of the extracted Nigella sativa oil. The optimized conditions for maximizing the yield and antioxidant activity obtained were a solvent concentration of 42.82 mL/5 g of sample, the extraction temperature of 69.09 °C and extraction time of 86.60 min, which were validated and found close to the experiment values. Under this set of conditions, the yield was maximized to 34.53% with enhanced antioxidant activity, having IC50 value of 203.56 µg/mL.
The Economics of Fund Management
Authors: Moisson Ed
Published: March 2024

Although the asset management industry has come under increasing scrutiny since the financial crisis it still remains poorly understood and investment scandals continue to headline in the financial press. Whereas most literature on the industry focuses on the technical end - how managers invest and what tips others can glean - this book explores the way these businesses operate as businesses and how they make their money.

The book explains how the industry is organized, how firms generate revenues through various types of fund, fees and charges and what cost pressures they face. It investigates the nature of their client relationships, the role played by star investors and the requirement for firms to integrate non-financial considerations into their investment process. The inherent tensions and potential conflicts of interest within asset managers that seek to keep both clients and shareholders happy is also examined. The book concludes by considering how the industry is evolving, the role of regulation and where it is struggling to change.

Suitable for students of business and finance, those working in allied areas of the finance sector, and for anyone with a general interest in how financial institutions and markets operate, the book offers readers a balanced and incisive guide to the economics of an industry that globally controls more than $100 trillion of financial assets and a critical appraisal of the sector's future.
Thomas of Eccleston's De adventu Fratrum Minorum in Angliam 'The Arrival of the Franciscans in England', 1224-c. 1257/8
Authors: Robson Michael J. P.
Published: March 2024

An indispensable guide to the earliest contemporary account of the Franciscan Order in England.
Call-Outs and Call-Ins
Authors: HERBISON KELLY , PODOSKY PAUL-MIKHAIL CATAPANG
Published: March 2024

The phenomena of call-outs and call-ins are fiercely debated. Are they mere instances of virtue signaling? Or can they actually perform social justice work? This paper gains purchase on these questions by focusing on how language users negotiate norms in speech. The authors contend that norm-enacting speech not only makes a norm salient in a context but also creates conversational conditions that motivate adherence to that norm. Recognizing this allows us to define call-outs and call-ins: the act of calling-out brings with it the presupposition that its target's behavior is norm-violating, whereas the act of calling-in simply presupposes its target's willingness to revise their belief. With these definitions at hand, we evaluate whether call-outs and call-ins are suitable tools for combating social injustice.
Evaluating guidelines as key components of conservation policies: a conceptual framework and a pilot application
Authors: Osorio Angela , Schmitt Laurent , Badariotti Dominique , Meinard Yves
Published: March 2024

Guidelines for managers of protected areas are an important component of conservation policies, on a par with large-scale frameworks and vehicles for conservation funding. In line with the recent literature proposing evaluations of conservation actions or political strategies to improve them, here we use an innovative, hybrid methodology, based both on an interpretative approach anchored in social sciences and a quantitative literature review, to identify available frameworks for evaluating conservation guidelines. The main result of this analysis is that the relevant literature in conservation is sparse and heterogeneous, but a relevant encompassing framework is provided by the literature in decision sciences based on the policy analytics framework. This evaluation framework consists of three criteria: scientific credibility, operationality and legitimacy. We then implement a pilot application by evaluating guidelines currently used in France to support all of the actors involved in protected areas management. The study concludes that these guidelines are plagued by significant weaknesses that could be overcome by implementing relevant participatory processes.
Fighting Decline: A Geopolitical History of European Public Health (1945–1960s)
Authors: Tortosa Paul-Arthur
Published: March 2024

This article proposes a global history of the development of European cooperation in the field of public health from 1945 to the 1960s. It examines the way in which the idea of the decline of Europe fuelled the development of regional cooperation in the public health field. The institutional form and central themes of this cooperation are results of an effort by Western European powers, especially France, to fight their own decline in the face of the threats of decolonisation and of the rise of the US and Soviet superpowers. Geopolitics as well as international institutional competition explains why the Council of Europe decided to focus on ‘lifestyle diseases’ at a time when the WHO was primarily conducting campaigns to eradicate infectious diseases in developing countries.
Performing AI
Authors: Cossette Marc-André , Salter Chris
Published: March 2024

“Performing AI” raises new questions about creative labor. Might the mathematical entities called neural networks that constitute much contemporary AI research be expressive and “perform,” thus leveling the playing field between human beings and nonhuman machines? What human societal models do neural networks enact? What bodily, mental, and affective work is required to integrate neural networks into the profoundly anthropocentric domain of the performing arts?
The Work of Art in the Age of Digital Commodification
Authors: Gill Sam , Dorsen Annie
Published: March 2024

Digitization is taking over every sphere of life—including the arts. Through the process of digital commodity fetishism, major technology companies threaten to efface the very qualities that make creative expression—particularly the performing arts—distinct and meaningful. To resist or even question these forces, we must excavate an invisible digital politics that can displace (and replace) traditional sources of authority in the performing arts. By examining the basic mechanisms of the “creator economy,” this politics can be found and confronted—in the arts and beyond.
Robust reference group normative data for neuropsychological tests accounting for primary language use in Asian American older adults
Authors: Kapoor Arunima , Ho Jean K. , Jang Jung Yun , Nation Daniel A.
Published: March 2024

Objective:

The present study aimed to develop neuropsychological norms for older Asian Americans with English as a primary or secondary language, using data from the National Alzheimer’s Coordinating Center (NACC).

Method:

A normative sample of Asian American participants was derived from the NACC database using robust criteria: participants were cognitively unimpaired at baseline (i.e., no MCI or dementia) and remained cognitively unimpaired at 1-year follow-up. Clinical and demographic characteristics were compared between Primary and Secondary English speakers using analyses of variance for continuous measures and chi-square tests for categorical variables. Linear regression models compared neuropsychological performance between the groups, adjusting for demographics (age, sex, and education). Regression models were developed for clinical application to compute demographically adjusted z-scores.

Results:

Secondary English speakers were younger than Primary English speakers (p < .001). There were significant differences between the groups on measures of mental status (Mini-Mental State Examination, p = .002), attention (Trail Making Test A, Digit Span Forward Total Score, p <.001), language (Boston Naming Test, Animal Fluency, Vegetable Fluency, p < .001), and executive function (Trail Making Test B, p = .02).

Conclusions:

Separate normative data are needed for Primary vs. Secondary English speakers from Asian American backgrounds. We provide normative data on older Asian Americans to enable clinicians to account for English use in the interpretation of neuropsychological assessment scores.
Kant’s Principia Diiudicationis and Executionis
Authors: Walsh John
Published: March 2024

A core feature of Kant’s Critical account of moral motivation is that pure reason can be practical by itself. I argue that Kant developed this view in the 1770s concerning the principium diiudicationis and principium executionis. These principles indicate the normative and performative aspects of moral motivation. I demonstrate that cognition of the normative principle effects the moral incentive. So, the hallmark of Kant’s Critical account of motivation was contained in his pre-Critical view. This interpretation resolves a controversy about Kant’s apparent eudaimonism in the first Critique and shows that he developed his account of moral autonomy in the 1770s.
The conceptual design of the high-efficiency 400 kW solid-state power station at 352 MHz for the European spallation source
Authors: Mohadeskasaei Seyed Alireza , Dancila Dragos
Published: March 2024

This paper introduces an innovative conceptual design of a 400 kW solid-state power amplifier (SSPA) station and presents preliminary measurements for the key components. Recent advancements and benefits of solid-state technology have made the prospect of replacing vacuum tubes increasingly appealing. Historically, a significant challenge was the limited output power capacity of individual solid-state transistors, necessitating the integration of numerous units to generate high-power microwave signals in the range of hundreds of kilowatts. However, modern transistors capable of producing over 2 kW of output power have emerged, facilitating this transition. Another weak point was low power efficiency in high-power operating mode. The advanced rugged technology (ART) of solid-state devices enables the utilization of these transistors in nonlinear and switching operating classes, thereby enabling the creation of high-efficiency high-power amplifiers. In this conceptual design, 264 SSPA modules based on ART, each with a power output of 1.6 kW, are combined. The measurements revealed a single SSPA capable of delivering up to 2 kW output power with a power efficiency of 73% at frequency of 352 MHz. Due to the minimal losses during module combination and working SSPA in Class-C operation mode, the power efficiency of the station is expected to closely mirror that of a single module.
The Role of the Intraspecific Variability of Hydraulic Traits for Modeling the Plant Water Use in Different European Forest Ecosystems
Authors: Jiménez‐Rodríguez C. D. , Sulis M. , Schymanski S.
Published: March 2024

The drought resilience of forest ecosystems is generally believed to depend on the dominant tree species' hydraulic traits. These traits define the maximum water transport capacity and the degree of vulnerability to hydraulic failure of a tree species. This work evaluates the effect of the intraspecific variability of hydraulic traits on the simulated tree water use in the Community Land Model (CLM, version 5.0). We selected two contrasting broadleaved tree species and performed a series of numerical experiments by modifying the parameters of the plant vulnerability curve and the maximum xylem hydraulic conductance accounting for the variability within each species. Our prescribed parameter sets represent vulnerable and resistant tree responses to the water deficit. At sites with an ample water supply, the resistant configuration simulates reduced water stress and increased transpiration compared to the vulnerable configuration. Meanwhile, the model results are counter‐intuitive at temporarily dry sites when water availability is the limiting factor. The numerical experiments demonstrate the emergent role of the maximum xylem conductance as a modulator of the plant water use strategy and the simulated transpiration within the model. Using the default value for maximum xylem conductance, the model tends to overestimate the early summer transpiration at drier sites, forcing the vegetation to experience unrealistic water stress later in the year. Our findings suggest that the parameterization of maximum xylem conductance is an important yet unresolved problem in the CLM and similar land surface models.
Machine Learning‐Based Wave Model With High Spatial Resolution in Chesapeake Bay
Authors: Shen Jian , Wang Zhengui , Du Jiabi , Zhang Yinglong J. , Qin Qubin
Published: March 2024

A high‐resolution wave model is crucial for accurate modeling of sediment and organic material transports, but its computational costs hinder direct coupling to an ecosystem model. We developed a machine learning model using long short‐term memory to simulate large‐scale, high‐resolution waves. Trained with numerical wave model (NWM) outputs and wind data from nine locations, our model successfully replicates NWM results for daily mean significant wave height and period in Chesapeake Bay with identical spatial resolution. Compared to the NWM, the data‐driven model has root‐mean‐square errors below 6 cm for daily mean significant wave height and 1 s for the wave period in the bay. It demonstrates excellent model skills and can accurately forecast daily mean significant wave height and period at NOAA wave stations comparable to NWMs. Using minimal wind data and having a short runtime, our data‐driven model shows promise as an alternative for wave forecasting and coupling with sediment and ecological models.
Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling
Authors: Zhou Wenbo , Zhang Liujing , Sheshukov Aleksey , Wang Jingfeng , Zhu Modi , Sargsyan Khachik , Xu Donghui , Liu Desheng , Zhang Tianqi , Mazepa Valeriy , Sokolov Alexandr , Valdayskikh Victor , Ivanov Valeriy
Published: March 2024

Ground heat flux (G0) is a key component of the land‐surface energy balance of high‐latitude regions. Despite its crucial role in controlling permafrost degradation due to global warming, G0 is sparsely measured and not well represented in the outputs of global scale model simulation. In this study, an analytical heat transfer model is tested to reconstruct G0 across seasons using soil temperature series from field measurements, Global Climate Model, and climate reanalysis outputs. The probability density functions of ground heat flux and of model parameters are inferred using available G0 data (measured or modeled) for snow‐free period as a reference. When observed G0 is not available, a numerical model is applied using estimates of surface heat flux (dependent on parameters) as the top boundary condition. These estimates (and thus the corresponding parameters) are verified by comparing the distributions of simulated and measured soil temperature at several depths. Aided by state‐of‐the‐art uncertainty quantification methods, the developed G0 reconstruction approach provides novel means for assessing the probabilistic structure of the ground heat flux for regional permafrost change studies.
In Situ Observations at the Air‐Sea Interface by Expendable Air‐Deployed Drifters Under Hurricane Michael (2018)
Authors: Schönau Martha C. , Paluszkiewicz Theresa , Centurioni Luca R. , Komaromi William A. , Jin Hao , Doyle James D.
Published: March 2024

An array of surface drifters deployed ahead of Hurricane Michael measured the surface temperature, pressure, directional wind and wave spectra, and surface currents one day before it made landfall as a Category 5 Hurricane. The drifters, 25–50 km apart, spanned two counter‐rotating ocean eddies as Hurricane Michael rapidly intensified. The drifters measured the shift of wave energy between frequency bands in each quadrant of the storm, the response of upper ocean currents, and the resulting cold wake following Michael's passage. Wave energy was greatest in the front quadrants and rapidly decreased in the left‐rear quadrant, where wind and wave energy were misaligned, and components of the wave field were aligned with currents. Hurricane Michael's wave field agreed with previous studies of nondirectional wave spectra across multiple tropical cyclones but had some unique characteristics. The analysis demonstrates how co‐located surface wind and wave observations can complement existing airborne and satellite observations.
Submesoscale Dynamics in the Bay of Bengal: Inversions and Instabilities
Authors: McKie Taylor , Lucas Andrew J. , MacKinnon Jennifer
Published: March 2024

High resolution shipboard observations reveal the complex processes controlling the evolution and subduction of a cold and salty, dense filament in the Bay of Bengal (BoB). The filament, likely formed through coastal upwelling, was advected offshore by the mesoscale velocity field, and was brought adjacent to a shallow, low salinity mixed layer by mesoscale strain. The front that formed on the Eastern edge of the dense filament was observed to undergo both restratification and steepening, creating barrier layers, in response to evolving mesoscale and submesoscale convergence and divergences. Measurements and analyses indicate that the development of both small‐scale instabilities such as symmetric instability (SI) and slightly larger scale ageostrophic secondary circulation (ASC), acted in concert to subduct and stir surface heat into the interior. These mechanisms also drive the generation of temperature inversions from O (1 km) lateral temperature variability at the surface, demonstrating the need for model parameterizations at such spatial scales. Our results highlight the importance of submesoscale dynamics in creating and warming barrier layers, facilitating vertical heat exchanges, and setting sea surface temperature in the Bay of Bengal, a critical input to coupled atmosphere/ocean models of the southwest monsoon. Such complex dynamics should be considered in regions where salinity governs stratification and compensated waters stir.
Modeling Natural Tritium in Precipitation and its Dependence on Decadal Solar Activity Variations Using the Atmospheric General Circulation Model MIROC5‐Iso
Authors: Cauquoin A. , Fourré É. , Landais A. , Okazaki A. , Yoshimura K.
Published: March 2024

Modeling tritium content in water presents a meaningful way to evaluate the representation of the water cycle in climate models as it traces fluxes within and between the reservoirs involved in the water cycle (stratosphere, troposphere, and ocean). In this study, we present the implementation of natural tritium in water in the atmospheric general circulation model (AGCM) MIROC5‐iso and its simulation for the period 1979–2018. Owing to recently published tritium production calculations, we were able to investigate, for the first time, the influence of natural tritium production related to the 11‐yr solar cycle on tritium in precipitation. MIROC5‐iso correctly simulates continental, latitudinal, and altitude effects on tritium in precipitation. The seasonal tritium content peaks, linked to stratosphere‐troposphere exchanges, are accurately simulated in terms of timing, even though MIROC5‐iso underestimates the amplitude of the changes. Decadal tritium concentration variations in precipitation owing to the 11‐yr solar cycle are well simulated in MIROC5‐iso, in agreement with the observations at Vostok in Antarctica for example, Finally, our simulations revealed that the internal climate variability plays an important role in tritium in polar precipitation. Owing to its influence on the south polar vortex, the Southern Annular Mode enhances the effect of the production component on tritium in East Antarctic precipitation. In Greenland, we found an east‐west contrast in the detection of the 11‐yr solar cycle in tritium in precipitation owing to the influence of the North Atlantic Oscillation on humidity conditions.
Long‐Emission‐Wavelength Humic‐Like Component (L‐HULIS) as a Secondary Source Tracer of Brown Carbon in the Atmosphere
Authors: Tang Jiao , Xu Buqing , Zhao Shizhen , Li Jun , Tian Lele , Geng Xiaofei , Jiang Hongxing , Mo Yangzhi , Zhong Guangcai , Jiang Bin , Chen Yingjun , Tang Jianhui , Zhang Gan
Published: March 2024

The optical properties of secondary brown carbon (BrC) aerosols are poorly understood, hampering quantitative assessments of their impact. We propose a new method for estimating secondary source of BrC using excitation‐emission matrix (EEM) fluorescence spectroscopy, combined with parallel factor analysis (PARAFAC) and partial least squares regression (PLSR). Experiments were conducted on a collection of PM2.5 samples from urban areas in five Chinese cities during winter and summer. The humic‐like component with long‐emission wavelengths (L‐HULIS) was identified as a secondary source tracer of BrC. This was confirmed by correlating PARAFAC components with secondary organic aerosol tracers and molecular oxidation indices obtained from Fourier transform ion cyclotron resonance mass spectrometry analysis. Using L‐HULIS as a secondary tracer of BrC, it was determined that the contribution of secondary sources to water‐soluble BrC (WS‐BrC) in source emission samples is significantly smaller than in PM2.5 from five Chinese cities, supporting our method. In the five cities, secondary source derived via L‐HULIS contributes a dominant potion (80% ± 3.5%) of WS‐BrC at 365 nm during the summer, which is approximately twice as high as during the winter (45% ± 4.9%). Radiocarbon isotope (14C) analysis provides additional constraints to the sources of L‐HULIS‐derived secondary WS‐BrC in urban PM2.5, suggesting that aged biomass burning is the dominant contributor to secondary WS‐BrC in winter, and biogenic emission is dominant during summer. This study is the first report on identification of secondary sources of BrC using the fluorescence technique. It demonstrates the potential of this method in characterizing non‐fossil source secondary BrC in the atmosphere.
Down-regulation of MKP-1 in hippocampus protects against stress-induced depression-like behaviors and neuroinflammation
Authors: Geng Mengjun , Shao Qiujing , Fu Jiacheng , Gu Jingyang , Feng Laipeng , Zhao Liqin , Liu Cong , Mu Junlin , Zhang Xiaoli , Zhao Mingjun , Guo Xinsheng , Song Cai , Li Yan , Wang Huiying , Wang Changhong
Published: March 2024

Chronic stress is the primary environmental risk factor for major depressive disorder (MDD), and there is compelling evidence that neuroinflammation is the major pathomechanism linking chronic stress to MDD. Mitogen-activated protein kinase (MAPK) phosphatase-1 (MKP-1) is a negative regulator of MAPK signaling pathways involved in cellular stress responses, survival, and neuroinflammation. We examined the possible contributions of MKP-1 to stress-induced MDD by comparing depression-like behaviors (anhedonia, motor retardation, behavioral despair), neuroinflammatory marker expression, and MAPK signaling pathways among rats exposed to chronic unpredictable mild stress (CUMS), overexpressing MKP-1 in the hippocampus, and CUMS-exposed rats underexpressing MKP-1 in the hippocampus. Rats exposed to CUMS exhibited MKP-1 overexpression, greater numbers of activated microglia, and enhanced expressions of neuroinflammatory markers (interleukin [IL]-6, [IL]-1β, tumor necrosis factor [TNF]-ɑ, and decreased phosphorylation levels of ERK and p38 in the hippocampus as well as anhedonia in the sucrose preference test, motor retardation in the open field, and greater immobility (despair) in the forced swimming tests. These signs of neuroinflammation and depression-like behaviors and phosphorylation levels of ERK and p38 were also observed in rats overexpressing MKP-1 without CUMS exposure, while CUMS-induced neuroinflammation, microglial activation, phosphorylation levels of ERK and p38, and depression-like behaviors were significantly reversed by MKP-1 knockdown. Moreover, MKP-1 knockdown promoted the activation of the MAPK isoform ERK, implying that the antidepressant-like effects of MKP-1 knockdown may be mediated by the ERK pathway disinhibition. These findings suggested that hippocampal MKP-1 is an essential regulator of stress-induced neuroinflammation and a promising target for antidepressant development.
Caspase-2 protects against ferroptotic cell death
Authors: Dawar Swati , Benitez Mariana C. , Lim Yoon , Dite Toby A. , Yousef Jumana M. , Thio Niko , Garciaz Sylvain , Jackson Thomas D. , Milne Julia V. , Dagley Laura F. , Phillips Wayne A. , Kumar Sharad , Clemons Nicholas J.
Published: March 2024

Caspase-2, one of the most evolutionarily conserved members of the caspase family, is an important regulator of the cellular response to oxidative stress. Given that ferroptosis is suppressed by antioxidant defense pathways, such as that involving selenoenzyme glutathione peroxidase 4 (GPX4), we hypothesized that caspase-2 may play a role in regulating ferroptosis. This study provides the first demonstration of an important and unprecedented function of caspase-2 in protecting cancer cells from undergoing ferroptotic cell death. Specifically, we show that depletion of caspase-2 leads to the downregulation of stress response genes including SESN2, HMOX1, SLC7A11, and sensitizes mutant-p53 cancer cells to cell death induced by various ferroptosis-inducing compounds. Importantly, the canonical catalytic activity of caspase-2 is not required for its role and suggests that caspase-2 regulates ferroptosis via non-proteolytic interaction with other proteins. Using an unbiased BioID proteomics screen, we identified novel caspase-2 interacting proteins (including heat shock proteins and co-chaperones) that regulate cellular responses to stress. Finally, we demonstrate that caspase-2 limits chaperone-mediated autophagic degradation of GPX4 to promote the survival of mutant-p53 cancer cells. In conclusion, we document a novel role for caspase-2 as a negative regulator of ferroptosis in cells with mutant p53. Our results provide evidence for a novel function of caspase-2 in cell death regulation and open potential new avenues to exploit ferroptosis in cancer therapy.
OTUD4 promotes the progression of glioblastoma by deubiquitinating CDK1 and activating MAPK signaling pathway
Authors: Ci Mingxin , Zhao Gaichao , Li Chongyang , Liu Ruochen , Hu Xiaosong , Pan Jun , Shen Yang , Zhang Guanghui , Li Yongsen , Zhang Li , Liang Ping , Cui Hongjuan
Published: March 2024

Glioblastoma, IDH-Wild type (GBM, CNS WHO Grade 4) is a highly heterogeneous and aggressive primary malignant brain tumor with high morbidity, high mortality, and poor patient prognosis. The global burden of GBM is increasing notably due to limited treatment options, drug delivery problems, and the lack of characteristic molecular targets. OTU deubiquitinase 4 (OTUD4) is a potential predictive factor for several cancers such as breast cancer, liver cancer, and lung cancer. However, its function in GBM remains unknown. In this study, we found that high expression of OTUD4 is positively associated with poor prognosis in GBM patients. Moreover, we provided in vitro and in vivo evidence that OTUD4 promotes the proliferation and invasion of GBM cells. Mechanism studies showed that, on the one hand, OTUD4 directly interacts with cyclin-dependent kinase 1 (CDK1) and stabilizes CDK1 by removing its K11, K29, and K33-linked polyubiquitination. On the other hand, OTUD4 binds to fibroblast growth factor receptor 1 (FGFR1) and reduces FGFR1’s K6 and K27-linked polyubiquitination, thereby indirectly stabilizing CDK1, ultimately influencing the activation of the downstream MAPK signaling pathway. Collectively, our results revealed that OTUD4 promotes GBM progression via OTUD4-CDK1-MAPK axis, and may be a prospective therapeutic target for GBM treatment.
Anharmonic strong-coupling effects at the origin of the charge density wave in CsV3Sb5
Authors: He Ge , Peis Leander , Cuddy Emma Frances , Zhao Zhen , Li Dong , Zhang Yuhang , Stumberger Romona , Moritz Brian , Yang Haitao , Gao Hongjun , Devereaux Thomas Peter , Hackl Rudi
Published: March 2024

The formation of charge density waves is a long-standing open problem, particularly in dimensions higher than one. Various observations in the vanadium antimonides discovered recently further underpin this notion. Here, we study the Kagome metal CsV3Sb5 using polarized inelastic light scattering and density functional theory calculations. We observe a significant gap anisotropy with $$2{\Delta }_{\max }/{k}_{{{{{{{{\rm{B}}}}}}}}}{T}_{{{{{{{{\rm{CDW}}}}}}}}}\, \approx \, 20$$
2

Δ

max

/

k

B

T

CDW

≈

20
, far beyond the prediction of mean-field theory. The analysis of the A1g and E2g phonons, including those emerging below TCDW, indicates strong phonon-phonon coupling, presumably mediated by a strong electron-phonon interaction. Similarly, the asymmetric Fano-type lineshape of the A1g amplitude mode suggests strong electron-phonon coupling below TCDW. The large electronic gap, the enhanced anharmonic phonon-phonon coupling, and the Fano shape of the amplitude mode combined are more supportive of a strong-coupling phonon-driven charge density wave transition than of a Fermi surface instability or an exotic mechanism in CsV3Sb5.
Magmatism controls global oceanic transform fault topography
Authors: Tian Xiaochuan , Behn Mark D. , Ito Garrett , Schierjott Jana C. , Kaus Boris J. P. , Popov Anton A.
Published: March 2024

Oceanic transform faults play an essential role in plate tectonics. Yet to date, there is no unifying explanation for the global trend in broad-scale transform fault topography, ranging from deep valleys to shallow topographic highs. Using three-dimensional numerical models, we find that spreading-rate dependent magmatism within the transform domain exerts a first-order control on the observed spectrum of transform fault depths. Low-rate magmatism results in deep transform valleys caused by transform-parallel tectonic stretching; intermediate-rate magmatism fully accommodates far-field stretching, but strike-slip motion induces across-transform tension, producing transform strength dependent shallow valleys; high-rate magmatism produces elevated transform zones due to local compression. Our models also address the observation that fracture zones are consistently shallower than their adjacent transform fault zones. These results suggest that plate motion change is not a necessary condition for reproducing oceanic transform topography and that oceanic transform faults are not simple conservative strike-slip plate boundaries.
Sequence-dependent material properties of biomolecular condensates and their relation to dilute phase conformations
Authors: Sundaravadivelu Devarajan Dinesh , Wang Jiahui , Szała-Mendyk Beata , Rekhi Shiv , Nikoubashman Arash , Kim Young C. , Mittal Jeetain
Published: March 2024

Material properties of phase-separated biomolecular condensates, enriched with disordered proteins, dictate many cellular functions. Contrary to the progress made in understanding the sequence-dependent phase separation of proteins, little is known about the sequence determinants of condensate material properties. Using the hydropathy scale and Martini models, we computationally decipher these relationships for charge-rich disordered protein condensates. Our computations yield dynamical, rheological, and interfacial properties of condensates that are quantitatively comparable with experimentally characterized condensates. Interestingly, we find that the material properties of model and natural proteins respond similarly to charge segregation, despite different sequence compositions. Molecular interactions within the condensates closely resemble those within the single-chain ensembles. Consequently, the material properties strongly correlate with molecular contact dynamics and single-chain structural properties. We demonstrate the potential to harness the sequence characteristics of disordered proteins for predicting and engineering the material properties of functional condensates, with insights from the dilute phase properties.
Distributed feature representations of natural stimuli across parallel retinal pathways
Authors: Hsiang Jen-Chun , Shen Ning , Soto Florentina , Kerschensteiner Daniel
Published: March 2024

How sensory systems extract salient features from natural environments and organize them across neural pathways is unclear. Combining single-cell and population two-photon calcium imaging in mice, we discover that retinal ON bipolar cells (second-order neurons of the visual system) are divided into two blocks of four types. The two blocks distribute temporal and spatial information encoding, respectively. ON bipolar cell axons co-stratify within each block, but separate laminarly between them (upper block: diverse temporal, uniform spatial tuning; lower block: diverse spatial, uniform temporal tuning). ON bipolar cells extract temporal and spatial features similarly from artificial and naturalistic stimuli. In addition, they differ in sensitivity to coherent motion in naturalistic movies. Motion information is distributed across ON bipolar cells in the upper and the lower blocks, multiplexed with temporal and spatial contrast, independent features of natural scenes. Comparing the responses of different boutons within the same arbor, we find that axons of all ON bipolar cell types function as computational units. Thus, our results provide insights into the visual feature extraction from naturalistic stimuli and reveal how structural and functional organization cooperate to generate parallel ON pathways for temporal and spatial information in the mammalian retina.
The corrosion behavior of low carbon steel (AISI 1010) influenced by grain size through microstructural mechanical
Authors: Alharbi Sayer Obaid , Ahmad Shakeel , Gul Taza , Ali Ishtiaq , Bariq Abdul
Published: March 2024

Low-carbon steel (AISI 1010) is the predominant material used in industrial food processing equipment. Such equipment is vulnerable to the corrosive environment produced by various production stages. Different processes, such as sulphonation and carbonation, are used in the processing of sugar in the sugar industry, creating a corrosive atmosphere. The corrosion behavior of low carbon steel (AISI 1010) is strongly influenced by grain size variations, which in turn affect the microstructural mechanical properties of the material. The mechanical behavior and performance of metallic materials, including their corrosion resistance, is determined by grain size which is an important parameter for this phenomena. The impact of low-carbon steel (AISI 1010) microstructure on corrosion behavior is discussed in this work. Heat treatment produces two different types of microstructure from the same material, which are then analyzed. Scanning Electron Microscopy (SEM) and Energy Dispersive Spectroscopy (EDS) have both been used to study characteristics including morphology and content. By supplying an appropriate corrosive medium, the corrosion performance of several microstructures of low-carbon steel (AISI 1010) was assessed, and corrosion rates were calculated using weight-loss and electrochemical techniques. Results show that the creation of a protective coating with a higher charge transfer resistance is caused by the adsorption process. The variety in phases and grain sizes may contribute to the corrosion stability of different microstructures, and as a result, the corrosion rate lowers as average grain sizes are reduced. Employing the galvanic effect, pearlite increases the rate of ferrite corrosion. The study's findings support the notion that quenching low-carbon steel (AISI 1010) results in a finer grain structure and greater corrosion resistance.
Tissue-specific variations of piperine in ten populations of Piper longum L.: bioactivities and toxicological profile
Authors: Biswas Protha , Pandey Devendra Kumar , Shekhawat Mahipal S. , Dey Abhijit , Malik Tabarak
Published: March 2024

P. longum L., one of the most significant species of the genus Piperaceae, is most frequently employed in Indian-Ayurvedic and other traditional medicinal-systems for treating a variety of illnesses. The alkaloid piperine, is the key phytoconstituent of the plant, primarily responsible for its’ pharmacological-impacts. The aim of the study is to analyse the intra-specific variation in piperine content among different chemotypes (PL1 to PL 30) and identify high piperine yielding chemotype (elite-chemotype) collected from 10 different geographical regions of West Bengal by validated HPTLC chromatography method. The study also focused on the pharmacological-screening to better understand the antioxidant activity of the methanol extracts of P. longum by DPPH and ABTS radical-scavenging activity and genotoxic activity by Allium cepa root tip assay. It was found that the P. longum fruit chemotypes contain high amount piperine (highest 16.362 mg/g in chemotype PL9) than the stem and leaf chemotypes. Both DPPH and ABTS antioxidant assays revealed that P. longum showed moderate radical-scavenging activity and the highest activity was found in PL9 (fruit) chemotype with IC50 values of 124.2 $$\pm 0.97$$

±
0.97

and 104 $$\pm 0.78$$

±
0.78

µg/ml respectively. The A. cepa root tip assay showed no such significant genotoxic-effect and change in mitotic-index. The quick, reproducible, and validated HPTLC approach offers a useful tool for determining quantitative variations of piperine among P. longum chemotypes from different geographical-regions and also according to the different tissues and choose elite genotypes with high piperine production for continued propagation and commercialization for the pharmaceutical sector. Additionally, the plant's in-vitro antioxidant property and lack of genotoxicity directly supports its’ widespread and long history of use as a medicinal and culinary plant.