bluuebunny/crossref_metadata_2025_split huggingface dataset:
How does digital transformation affect corporate social responsibility performance? From the dual perspective of internal drive and external governance
Authors: Sun Ziyuan , Wang Wenjiao , Wang Wei , Sun Xiao 
Published: September 2023

AbstractDigital transformation has become a wave sweeping across the globe, affecting all industries with unprecedented speed and breadth, and it is urgent to introduce digital transformation into the corporate social responsibility (CSR) field. This study aims to investigate the impact of digital transformation on CSR performance and its influencing mechanism. The findings are as follows: (1) digital transformation can improve CSR performance; (2) from the dual perspective of internal drive and external governance, we figure out that digital transformation improves CSR performance by improving green management innovation and analyst coverage; (3) further analysis shows that the impact of digital transformation on CSR performance differs under different resource endowments and institutional environments (i.e., formal and informal institutions). Specifically, this promoting effect is only reflected incorporates more resources (i.e., human resources, cultural resources, employment resources, and economic resources), with strong environmental enforcement or high media attention. In the context of digital transformation, this study enriches the mechanism of improving CSR performance and is of great practical significance for corporates, markets, governments and other stakeholders. Meanwhile, the findings of this study are of practical guidance for promoting corporates to fulfill their social responsibility and achieve sustainable development goals in the digital era.
Virtual inertia and droop parameters quantitative determination method for VSC‐HVDC in receiving‐end area power systems with online inertia estimation based
Authors: Liu Bo , Du Puliang 
Published: September 2023

SummaryVoltage source converter‐based high voltage direct current (VSC‐HVDC) transmissions are commonly employed to deliver as much inertial and primary frequency regulation (PFR) power as possible to a frequency‐disturbed system to ensure stable operation, which causes the unreasonable application of limited frequency regulation resources. Hence, this paper, based on online inertia estimation results, presents a novel method to determine the virtual inertia and droop parameters (MDVID) for VSC‐HVDC to weaken this deficiency. Firstly, the measured ambient active power and frequency variation data are applied as input and output of the auto‐regressive moving average with extra input (ARMAX) identification model, which is used to obtain the effective inertia of the studied system. Next, compared with the expected system dynamic frequency response characteristics under disturbance, the required and quantitative variation of the studied system inertia and droop parameters is acquired through the system frequency response (SFR) model. Then, the obtained variation of inertia and droop parameters is assigned to VSC‐HVDC based on the ratio of the rated capacity of the studied system to that of VSC‐HVDC. Finally, the simulation results confirmed the predominance of the proposed MDVID compared with other strategies in the event of a fault and step load variation.
A novel technique using stretching, repulsion, and chimp optimization algorithm to find global maximum power point considering complex partial shading conditions
Authors: Ashraf Hafiz Muhammad , Elahi Muqaddas , Kim Chul‐Hwan 
Published: September 2023

SummaryThe demand for green energy sources has led to the exploration of photovoltaic (PV) systems as a sustainable and cost‐effective solution. However, PV systems have an uncertain nature that makes the tracking of global maximum power point a challenge. To get the optimal benefits from the PV source, the extraction of power is required in a precise manner, especially in the case of irregular complex partial shading conditions (CPSCs). In the case of CPSCs, the global maximum point tracking (GMPP) is a bit difficult to manage by the conventional algorithms presented so far. As the power peaks increase with CPSCs, the conventional algorithms are usually stuck in the local maxima. To avoid sticking at all the local maxima points and to find GMPP with better efficiency, stretching is used here along with the repulsion technique. Stretching and repulsion techniques are merged with the chimp optimization algorithm (SRCA). The tuning parameters of SRCA are so effective that remove all local points and lead to finding the GMPP accurately. The proposed algorithm is applied to the PV array to extract optimal power off‐grid and on‐grid as well. The average tracking time and output power efficiency in the case of off‐grid is observed as 0.4 s and 99.87% while in the case of on‐grid as 0.09 s and 98.88%, respectively.
Rnd3 suppresses endothelial cell pyroptosis in atherosclerosis through regulation of ubiquitination of TRAF6
Authors: Zhang Yan , Zhu Zhengru , Cao Yang , Xiong Zhenyu , Duan Yu , Lin Jie , Zhang Xuebin , Jiang Mengyuan , Liu Yue , Man Wanrong , Jia Tengfei , Feng Jiaxu , Chen Yanyan , Li Congye , Guo Baolin , Sun Dongdong 
Published: September 2023

AbstractBackgroundAs the main pathological basis for various cardiovascular and cerebrovascular diseases, atherosclerosis has become one of the leading causes of death and disability worldwide. Emerging evidence has suggested that Rho GTPase Rnd3 plays an indisputable role in cardiovascular diseases, although its function in atherosclerosis remains unclear. Here, we found a significant correlation between Rnd3 and pyroptosis of aortic endothelial cells (ECs).MethodsApoeKO mice were utilized as a model for atherosclerosis. Endothelium‐specific transgenic mice were employed to disrupt the expression level of Rnd3 in vivo. Mechanistic investigation of the impact of Rnd3 on endothelial cell pyroptosis was carried out using liquid chromatography tandem mass spectrometry (LC‐MS/MS), co‐immunoprecipitation (Co‐IP) assays, and molecular docking.ResultsEvidence from gain‐of‐function and loss‐of‐function studies denoted a protective role for Rnd3 against ECs pyroptosis. Downregulation of Rnd3 sensitized ECs to pyroptosis under oxidized low density lipoprotein (oxLDL) challenge and exacerbated atherosclerosis, while overexpression of Rnd3 effectively prevented these effects. LC‐MS/MS, Co‐IP assay, and molecular docking revealed that Rnd3 negatively regulated pyroptosis signaling by direct interaction with the ring finger domain of tumor necrosis factor receptor‐associated factor 6 (TRAF6). This leads to the suppression of K63‐linked TRAF6 ubiquitination and the promotion of K48‐linked TRAF6 ubiquitination, inhibiting the activation of NF‐κB and promoting the degradation of TRAF6. Moreover, TRAF6 knockdown countered Rnd3 knockout‐evoked exacerbation of EC pyroptosis in vivo and vitro.ConclusionsThese findings establish a critical functional connection between Rnd3 and the TRAF6/NF‐κB/NLRP3 signaling pathway in ECs, indicating the essential role of Rnd3 in preventing pyroptosis of ECs.
IGF2BP3 mediates the mRNA degradation of NF1 to promote triple‐negative breast cancer progression via an m6A‐dependent manner
Authors: Zhang Xu , Shi Liang , Sun Han‐Dong , Wang Zi‐Wen , Xu Feng , Wei Ji‐Fu , Ding Qiang 
Published: September 2023

AbstractBackgroundN6‐methyladenosine (m6A) is an abundant reversible modification in eukaryotic mRNAs. Emerging evidences indicate that m6A modification plays a vital role in tumourigenesis. As a crucial reader of m6A, IGF2BP3 usually mediates the stabilisation of mRNAs via an m6A‐dependent manner. But the underlying mechanism of IGF2BP3 in the tumourigenesis of triple‐negative breast cancer (TNBC) is unclear.MethodsTCGA cohorts were analysed for IGF2BP3 expression and IGF2BP3 promoter methylation levels in different breast cancer subtypes. Colony formation, flow cytometry assays and subcutaneous xenograft were performed to identify the phenotype of IGF2BP3 in TNBC. RNA/RNA immunoprecipitation (RIP)/methylated RNA immunoprecipitation (MeRIP) sequencing and luciferase assays were used to certify the target of IGF2BP3 in TNBC cells.ResultsIGF2BP3 was highly expressed in TNBC cell lines and tissues. TET3‐mediated IGF2BP3 promoter hypomethylation led to the upregulation of IGF2BP3. Knocking down IGF2BP3 markedly reduced the proliferation of TNBC in vitro and in vivo. Intersection co‐assays revealed that IGF2BP3 decreased neurofibromin 1 (NF1) stabilisation via an m6A‐dependent manner. NF1 knockdown could rescue the phenotypes of IGF2BP3 knockdown cells partially.ConclusionTET3‐mediated IGF2BP3 accelerated the proliferation of TNBC by destabilising NF1 mRNA via an m6A‐dependent manner. This suggests that IGF2BP3 could be a potential therapeutic target for TNBC.
Cytomorphology of pulmonary low‐grade fetal adenocarcinoma in bronchial brushing specimen prepared by BD SurePath: A case report and literature review
Authors: Lee Wen‐Ying , Su Ying‐Chieh , Chuang Shi‐Sung 
Published: September 2023

AbstractLow‐grade fetal adenocarcinoma (LGFA) of the lung is a rare subtype of lung adenocarcinoma, resembling developing fetal lung in pseudoglandular stage. LGFA is very different to conventional adenocarcinoma. It is more likely to occur in young adults and has favorable prognosis. Reports on the cytology of LGFA are very rare; only 10 cases have been reported previously in the English literature. Our case report adds to the cytological features of this tumor sampled by bronchial brushing and is the first case prepared by the BD SurePath liquid‐based cytology. We present a case of 31‐year‐old male with endobronchial involvement of right bronchus. The cytological features of diagnostic clues for LGFA include three dimensional glandular arrangements of uniform, columnar cells with inconspicuous nucleoli. It is important to recognize this rare and favorable variant of lung adenocarcinoma. In this report, we present the cytological and pathological features of LGFA, along with a literature review.
Preliminary data that psychological treatment and baseline anxiety are associated with a decrease in postprandial fullness and early satiation for individuals with bulimia nervosa and related other specified feeding or eating disorder
Authors: Forney K. Jean , Burton Murray Helen , Himawan Lina , Juarascio Adrienne S. 
Published: September 2023

AbstractObjectiveGastrointestinal symptoms, particularly postprandial fullness, are frequently reported in eating disorders. Limited data exist evaluating how these symptoms change in response to outpatient psychological treatment. The current study sought to describe the course of postprandial fullness and early satiation across psychological treatment for adults with bulimia nervosa and related other specified feeding or eating disorders and to test if anxiety moderates treatment response.MethodsSecondary data analysis was conducted on questionnaire data provided by 30 individuals (80% white, M(SD)age = 31.43(13.44) years; 90% female) throughout treatment and six‐month follow‐up in a pilot trial comparing mindfulness and acceptance‐based treatment with cognitive‐behavioral therapy for bulimia nervosa. Participants completed items from the Rome IV Diagnostic Questionnaire for Adult Functional Gastrointestinal Disorders and the State Trait Anxiety Inventory.ResultsPostprandial fullness and early satiation both significantly decreased over time (ds = 1.23–1.54; p's < .001). Baseline trait anxiety moderated this outcome, such that greater decreases were observed for those with higher baseline anxiety (p = .02).DiscussionResults extend prior work in inpatient samples by providing preliminary data that postprandial fullness and early satiation decrease with outpatient psychological treatment for bulimia nervosa. Baseline anxiety moderated this effect for postprandial fullness. Future work should replicate findings in a larger sample and test anxiety as a mechanism underlying postprandial fullness in eating disorders.Public SignificanceThe current study found that common gastrointestinal symptoms (postprandial fullness and early satiation) decrease over the course of outpatient psychotherapy for adults with full and subthreshold bulimia nervosa. Postprandial fullness decreased more across time for those high in anxiety.
Microhabitat conditions drive uncertainty of risk and shape neophobic responses in Trinidadian guppies, Poecilia reticulata
Authors: Feyten Laurence E. A. , Ramnarine Indar W. , Brown Grant E. 
Published: September 2023

AbstractIn response to uncertain risks, prey may rely on neophobic phenotypes to reduce the costs associated with the lack of information regarding local conditions. Neophobia has been shown to be driven by information reliability, ambient risk and predator diversity, all of which shape uncertainty of risk. We similarly expect environmental conditions to shape uncertainty by interfering with information availability. In order to test how environmental variables might shape neophobic responses in Trinidadian guppies (Poecilia reticulata), we conducted an in situ field experiment of two high‐predation risk guppy populations designed to determine how the ‘average’ and ‘variance’ of several environmental factors might influence the neophobic response to novel predator models and/or novel foraging patches. Our results suggest neophobia is shaped by water velocity, microhabitat complexity, pool width and depth, as well as substrate diversity and heterogeneity. Moreover, we found differential effects of the ‘average’ and ‘variance’ environmental variables on food‐ and predator‐related neophobia. Our study highlights that assessment of neophobic drivers should consider predation risk, various microhabitat conditions and neophobia being tested. Neophobic phenotypes are expected to increase the probability of prey survival and reproductive success (i.e. fitness), and are therefore likely linked to population health and species survival. Understanding the drivers and consequences of uncertainty of risk is an increasingly pressing issue, as ecological uncertainty increases with the combined effects of climate change, anthropogenic disturbances and invasive species.
Progression of diabetic nephropathy and vitamin D serum levels: A pooled analysis of 7722 patients
Authors: Dean Yomna E. , Elawady Sameh Samir , Shi Wangpan , Salem Ahmed A. , Chotwatanapong Arinnan , Ashraf Haya , Reddi Tharun , Dundi Prashant Obed Reddy , Habash Waleed Yasser , Habash Mohamed Yasser , Ahmed Safaa , Samir Hana M. , Elsayed Ahmed , Arora Aryan , Arora Abhinav , Elsayed Abdelrahman , Mady Tamer , Tanas Yousef , Hazimeh Yusef , Alazmy Mohamed , Aiash Hani 
Published: September 2023

AbstractBackground and AimLow serum Vitamin D levels have been associated with diabetic nephropathy (DN). Our study aimed to analyse the serum levels of vitamin D in patients suffering from DN and the subsequent changes in serum vitamin D levels as the disease progresses.MethodsPubMed, Embase, SCOPUS and Web of Science were searched using keywords such as ‘25 hydroxyvitamin D’ and ‘diabetic nephropathy’. We included observational studies that reported the association between the serum 25 hydroxy vitamin D levels and diabetic nephropathy without restriction to age, gender, and location. R Version 4.1.2 was used to perform the meta‐analysis. The continuous outcomes were represented as mean difference (MD) and standard deviation (SD) and dichotomous outcomes as risk ratios (RR) with their 95% confidence interval (CI).ResultsTwenty‐three studies were included in our analysis with 7722 patients. Our analysis revealed that vitamin D was significantly lower in diabetic patients with nephropathy than those without nephropathy (MD: −4.32, 95% CI: 7.91–0.74, p‐value = .0228). On comparing diabetic patients suffering from normoalbuminuria, microalbuminuria, or macroalbuminuria, we found a significant difference in serum vitamin D levels across different groups. Normoalbuminuria versus microalbuminuria showed a MD of −1.69 (95% CI: −2.28 to −1.10, p‐value = .0002), while microalbuminuria versus macroalbuminuria showed a MD of (3.75, 95% CI: 1.43–6.06, p‐value = .0058), proving that serum vitamin D levels keep declining as the disease progresses. Notwithstanding, we detected an insignificant association between Grade 4 and Grade 5 DN (MD: 2.29, 95% CI: −2.69–7.28, p‐value = .1862).ConclusionSerum Vitamin D levels are lower among DN patients and keep declining as the disease progresses, suggesting its potential benefit as a prognostic marker. However, on reaching the macroalbuminuria stage (Grades 4 and 5), vitamin D is no longer a discriminating factor.
Does policy uncertainty affect non‐financial disclosure? Evidence from climate change‐related information
Authors: Assaf Cynthia , Benlemlih Mohammed , El Ouadghiri Imane , Peillex Jonathan 
Published: September 2023

AbstractWe examine the relationship between economic policy uncertainty and the release of climate change‐related information as a representation of non‐financial information. We argue that firms are likely to disclose their climate change‐related information to gain ethical legitimacy, especially during uncertain times. Using the policy uncertainty measure from Baker, Bloom, and Davis (2016) and an extensive dataset from the CSRwire platform, we provide strong evidence that policy uncertainty is positively associated with releasing climate change‐related news. Our findings are robust to alternative measures of policy uncertainty and when controlling for endogeneity. In a set of additional analyses, we show that the industries within which firms operate and their environmental performance are channels that explain the release of climate‐related information. Taken together, our results highlight the role that climate change‐related information may play in providing firms with ethical legitimacy and building trust among all stakeholders in times of political uncertainty.
An effective classification approach to categorize the breast cancer using modified support vector machine as a classifier
Authors: Muvva Vijaya Bhaskar Reddy , Dayanand Lal N. , Shah Syed Mehr Ali 
Published: September 2023

AbstractBreast cancer is a type of cancer which threatens the health of women and occupies first in female cancer mortality. In recent days, the machine learning techniques are widely utilized in various medical fields particularly in the application related to detection and classification. However, the accuracy obtained from the existing machine learning techniques was reliably low and results in poor classification. To overcome the issues in existing algorithms, this research introduced a Modified Support Vector Machine (MSVM) to classify the breast cancer as benign and malignant. The input data is obtained from Wisconsin Breast Cancer Dataset (WBCD) and the pre‐processing is performed to remove the inappropriate information from the raw data. Then, Principle Component Analysis (PCA) is used in the process of dimensionality reduction. The reduced dimensions are subjected into the stage of feature extraction using linear Discriminant analysis (LDA) and finally the classification is performed using the proposed MSVM. The experimental results show that the proposed approach achieved better classification accuracy of 99.34% which is comparatively higher than the existing Deer canid based Deep Convolutional Neural Network (DCNN), LDA‐SVM, Fuzzy rule based system and Intelligent Ensemble Classification method on the basis of Multi‐Layer Perceptron (IEC‐MLP) with classification accuracy of 98.12%, 97.65%, 97.22% and 98.74% respectively.
Meat and meat substitutes—A hedonic‐pricing model for the German market
Authors: Petersen Thies , Tatic Milan , Hartmann Monika , Hirsch Stefan 
Published: September 2023

AbstractIn this study, a hedonic pricing model with a stochastic frontier is applied to a sample of 183,717 observations of product sales of sausages in Germany to determine the valuation of attributes in the market. The average price of sausages is 1.14€/100 g, with meat substitutes valued at 1.53€/100 g and meat sausages at 1.01€/100 g. Our results show that credence attributes can induce a price premium, but that the effect strongly depends on the type of attribute. This may be important for deriving marketing strategies, as uniform measures may not be effective for both markets.
Wide‐field Mueller matrix polarimetry for spectral characterization of basic biological tissues: Muscle, fat, connective tissue, and skin
Authors: Pardo Iago , Bian Subiao , Gomis‐Brescó Jordi , Pascual Esther , Canillas Adolf , Bosch Salvador , Arteaga Oriol 
Published: September 2023

AbstractThis study investigates the polarimetric properties of skin, skeletal muscle, connective tissue, and fat using Mueller matrix imaging. It aims to compare the polarimetric characteristics of these tissues and explore how they evolve with wavelength. Additionally, the temporal evolution of certain tissues during meat aging is studied, providing insights into the dynamic behavior of polarimetric properties over time. The research employs back‐scattering configuration and the differential decomposition analysis method of Mueller matrix images. Both in‐vivo and ex‐vivo experiments were conducted using a consistent instrument setup to ensure reliable analysis. The results reveal wavelength‐dependent variations in tissue properties, including an increase in depolarization with wavelength. Significant differences in the polarimetric characteristics of meat tissues, particularly for skeletal muscle, are observed. Over a 24‐h period, intensity, diattenuation, and retardation experience alterations, being the decreased retardation in skeletal muscle and the increased retardation in fat the most notable ones.
Neuron‐derived extracellular vesicles contain synaptic proteins, promote spine formation, activate TrkB‐mediated signalling and preserve neuronal complexity
Authors: Solana‐Balaguer Julia , Campoy‐Campos Genís , Martín‐Flores Núria , Pérez‐Sisqués Leticia , Sitjà‐Roqueta Laia , Kucukerden Melike , Gámez‐Valero Ana , Coll‐Manzano Albert , Martí Eulàlia , Pérez‐Navarro Esther , Alberch Jordi , Soriano Jordi , Masana Mercè , Malagelada Cristina 
Published: September 2023

AbstractExtracellular vesicles (EVs) play an important role in intercellular communication as carriers of signalling molecules such as bioactive miRNAs, proteins and lipids. EVs are key players in the functioning of the central nervous system (CNS) by influencing synaptic events and modulating recipient neurons. However, the specific role of neuron‐to‐neuron communication via EVs is still not well understood. Here, we provide evidence that primary neurons uptake neuron‐derived EVs in the soma, dendrites, and even in the dendritic spines, and carry synaptic proteins. Neuron‐derived EVs increased spine density and promoted the phosphorylation of Akt and ribosomal protein S6 (RPS6), via TrkB‐signalling, without impairing the neuronal network activity. Strikingly, EVs exerted a trophic effect on challenged nutrient‐deprived neurons. Altogether, our results place EVs in the spotlight for synaptic plasticity modulation as well as a possible therapeutic tool to fight neurodegeneration.
On the number of star‐shaped classes in optimal colorings of Kneser graphs
Authors: Daneshpajouh Hamid Reza 
Published: September 2023

AbstractA family of sets is called star‐shaped if all the members of the family have a point in common. The main aim of this paper is to provide a negative answer to the following question raised by Aisenberg et al., for the case . Do there exist ‐colorings of the ‐Kneser graphs with more than many non‐star‐shaped color classes?