bluuebunny/crossref_metadata_2025_split huggingface dataset:
The bidirectional relationship between corporate social responsibility and financial reporting quality: Does gender diversity matter? Evidence from US companies
Authors: Toukabri Mohamed , Kateb Ines 
Published: November 2022

AbstractThe aim of the paper is twofold. Firstly, to analyze the bidirectional effects between Corporate Social Responsibility (CSR) and financial reporting quality proxied by earnings management (EM). Secondly, to investigate the moderating role of board gender diversity, the gender of CEO and CFO on these two phenomena. The study employs a Panel Data set of 390 listed US companies for the period 2011 to 2019 (3510 observations). To verify a two‐way relationship between CSR and EM, we estimate a system of simultaneous equations using the GMM estimator proposed by Arellano and Bond (1991). To analyze the moderating role of gender diversity, multiple regression analysis and several robustness tests such as Propensity Score Matching and DID are adopted. Empirical results confirm that US companies engaged in CSR activities are less motivated to practice EM and more likely to produce high financial reporting quality. The study confirms that Gender diversity increases board effectiveness by reducing the level of earnings management, ensuring high quality of financial reporting, and developing CSR activities. Findings are especially important for authorities who intend to impose regulatory quotas for female board membership. The policymakers should consider gender diversity in improving CSR practices for society.
A scheme for rapid evaluation of the intermolecular three‐body polarization effect in water clusters
Authors: Li Xiao‐Lei , Li Chao‐Ming , Zhu Jia‐Yi , Zhou Zhan , Hao Qiang , Wang Chang‐Sheng 
Published: November 2022

AbstractThe ability to accurately and rapidly evaluate the intermolecular many‐body polarization effect of the water system is very important for computer simulations of biomolecule in aqueous. In this paper, a scheme is proposed based on the polarizable dipole–dipole interaction model and used to rapidly estimate the intermolecular many‐body polarization effect in water clusters. We use a bond‐dipole‐based polarization function to evaluate the polarization energy. We regard two OH bonds of a water molecule as two bond‐dipoles and set the permanent OH bond‐dipole moment of a water molecule to be 1.51 Debye. We estimate the induced OH bond‐dipole moment via a simple formula in which only one correction factor is needed. This scheme is then applied to tens of water clusters to calculate the three‐ and four‐body interaction energies. The three‐body interaction energies of 93 water clusters produced by our scheme are compared with those produced by the counterpoise‐corrected CCSD(T)/aug‐cc‐pVDZ, MP2/aug‐cc‐pVDZ, M06‐2X/jul‐cc‐pVTZ methods, by the AMOEBApro13, iAMOEBA, AMOEBA+, AMOEBA+(CF) methods, and by the MB‐pol method. The four‐body interaction energies of 47 water clusters yielded by our scheme are compared with those yielded by the counterpoise‐corrected MP2/aug‐cc‐pVDZ and M06‐2X/ jul‐cc‐pVTZ methods, by the AMOEBApro13, AMOEBA+, AMOEBA+(CF) methods, and by the MB‐pol method. The comparison results show that the scheme proposed in this paper can reproduce the counterpoise‐corrected CCSD(T)/aug‐cc‐pVDZ three‐body interaction energies and reproduce the counterpoise‐corrected MP2/aug‐cc‐pVDZ four‐body interaction energies both accurately and efficiently. We anticipate the scheme proposed here can be useful for computer simulations of liquid water and aqueous solutions.
Role of endoplasmic reticulum stress and autophagy in the transition from acute kidney injury to chronic kidney disease
Authors: Habshi Tahib , Shelke Vishwadeep , Kale Ajinath , Anders Hans‐Joachim , Gaikwad Anil Bhanudas 
Published: November 2022

AbstractAcute kidney injury (AKI) and chronic kidney disease (CKD) are global health concerns with increasing rates in morbidity and mortality. Transition from AKI‐to‐CKD is common and requires awareness in the management of AKI survivors. AKI‐to‐CKD transition is a main risk factor for the development of cardiovascular disease and progression to end‐stage kidney disease. The mechanisms driving AKI‐to‐CKD transition are being explored to identify potential molecular and cellular targets for renoprotective drug interventions. Endoplasmic reticulum (ER) stress and autophagy are involved in the process of AKI‐to‐CKD transition. Excessive ER stress results in the persistent activation of unfolded protein response, which is an underneath cause of kidney cell death. Moreover, ER stress modulates autophagy and vice‐versa. Autophagy is a degradation defensive mechanism protecting cells from malfunction. However, the underlying pathological mechanism involved in this interplay in the context of AKI‐to‐CKD transition is still unclear. In this review, we discuss the crosstalk between ER stress and autophagy in AKI, AKI‐to‐CKD transition, and CKD progression. In addition, we explore possible therapeutic targets that can regulate ER stress and autophagy to prevent AKI‐to‐CKD transition to improve the long‐term prognosis of AKI survivors.
Rapid and efficient isolation platform for plasma extracellular vesicles: EV‐FISHER
Authors: Pan Wei‐Lun , Feng Jun‐Jie , Luo Ting‐Ting , Tan Yong , Situ Bo , Nieuwland Rienk , Guo Jing‐Yun , Liu Chun‐Chen , Zhang Han , Chen Jing , Zhang Wen‐Hua , Chen Jun , Chen Xian‐Hua , Chen Hong‐Yue , Zheng Lei , Chen Jin‐Xiang , Li Bo 
Published: November 2022

AbstractExtracellular vesicles (EVs) have found diverse applications in clinical theranostics. However, the current techniques to isolate plasma EVs suffer from burdensome procedures and limited yield. Herein, we report a rapid and efficient EV isolation platform, namely, EV‐FISHER, constructed from the metal‐organic framework featuring cleavable lipid probes (PO43−‐spacer‐DNA‐cholesterol, PSDC). The EV‐FISHER baits EVs from plasma by cholesterol and separates them with an ordinary centrifuge. The captured EVs could be released and collected upon subsequent cleavage of PSDC by deoxyribonuclease I. We conclude that EV‐FISHER dramatically outperforms the ultracentrifugation (UC) in terms of time (∼40 min vs. 240 min), isolation efficiency (74.2% vs. 18.1%), and isolation requirement (12,800 g vs. 135,000 g). In addition to the stable performance in plasma, EV‐FISHER also exhibited excellent compatibility with downstream single‐EV flow cytometry, enabling the identification of glypican‐1 (GPC‐1) EVs for early diagnosis, clinical stages differentiation, and therapeutic efficacy evaluation in breast cancer cohorts. This work portrays an efficient strategy to isolate EVs from complicated biological fluids with promising potential to facilitate EVs‐based theranostics.
Spatiotemporal trends in daily and subdaily rainfall extremes and return levels in Turkey
Authors: Albayrak Derya , Sen Omer Lutfi , Yucel Ismail 
Published: November 2022

AbstractIn this study, we present the long‐term daily and subdaily station data of annual extreme rainfall (1970–2015) and the trend analyses in rainfall regimes in Turkey. Trends in 5, 10, 15, and 30 min, 1, 2, 6, 12, and 24 hr of extreme rainfall in seven different rainfall regimes are estimated through nonparametric tests. The trends in return levels (2, 20, and 100 years) are defined by an appropriate three‐parameter generalized extreme value distribution and are evaluated in the climatological context of rainfall regimes. Overall, from 5‐min to 2‐hr durations, magnitudes of trends in extreme rainfall constantly increase in all rainfall regimes, which may be attributed to the intensified contribution of convective rainfall as a response to warming. Trend analysis of return levels reveals that, compared with 2‐year return levels, low‐probability high‐impact extreme rainfall events generally have the lowest estimated median trends until 30‐min to 2‐hr range. A shift in the magnitudes of trends occurs generally at 30‐min and 1‐hr durations; trends of rare intense events increase at the expense of less intense extreme rainfall. Thus, the intensification of 1–2‐hr extreme rainfall events can arise from both the increasing trends of more common events in shorter rainfall durations and from the increase in the trends of low‐probability high‐impact extreme rainfall events at this range. Moreover, explicitly in continental rainfall regimes, increases in the magnitudes of the trends in 30‐min to 2‐hr duration range are accompanied by various declines in 6–24‐hr duration range. Although coastal regimes generally have increasing trend values from 5‐min to 24‐hr durations, in northern and southern clusters, changes occur in the variability of extreme rainfall and the trend values of rarer (20‐ and 100‐year return periods) extreme rainfall exhibit increases in 6–12‐hr range.
Lipid extract from blue mussel (Mytilus edulis) improves glycemic traits in Chinese type 2 diabetic mellitus patients: a double‐blind randomized controlled trial
Authors: Kuang Xiaotong , Shao Xianfeng , Li Huiying , Jiang Dongmei , Gao Tianlin , Yang Jie , Li Kelei , Li Duo 
Published: November 2022

AbstractBackgroundStudies have shown that blue mussel lipid extract (BMLE) has strong anti‐inflammatory activity in both rheumatoid arthritis patients and animal arthritis models. Chronic inflammation was closely related to type 2 diabetes mellitus (T2DM). Though the beneficial effects cannot be completely attributed to n−3 polyunsaturated fatty acids, the aim of this study was to investigate whether BMLE can improve glycemic traits of T2DM patients.MethodIn a double‐blind randomized controlled trial, 133 Chinese T2DM participants were randomized to either fish oil (FO, n = 44), BMLE (n = 44), or corn oil (CO, n = 45) groups for 60 days. The participants were asked to take the corresponding oil capsules (two capsules per day, 0.8 g per capsule), which provided 1.6 g day−1 of FO (29.9% eicosapentaenoic acid + 20.4% docosahexaenoic acid), BMLE (20.7% eicosapentaenoic acid + 26.7% docosahexaenoic acid), or CO (53.5% linoleic acid).ResultsThe fasting serum concentration of insulin (P = 0.005) and the homeostasis model of insulin resistance (P = 0.026) were significantly decreased in the BMLE group, whereas no significant change was found in the FO or CO groups. There was no significant difference between groups on serum glycosylated hemoglobin. Tumor necrosis factor‐α was significantly decreased in the BMLE group (P = 0.003), but not in the FO or CO groups. A significant decrease of interleukin‐1β was observed in the BMLE and CO groups (P = 0.004 and P = 0.011 respectively), but not in the FO group. The total cholesterol was significantly decreased in the BMLE and CO groups (P < 0.001 and P < 0.001 respectively), but not in the FO group. Triacylglycerol was significantly decreased in the BMLE group (P = 0.007), but not in the FO or CO groups. High‐density lipoprotein cholesterol was significantly lower in the BMLE and CO groups than in the FO group (P = 0.003).ConclusionBlue mussel lipid supplements improved glycemic traits, inflammatory cytokines, and lipids profile in Chinese T2DM patients (Chinese Clinical Trial Registration number: ChiCTR1900025617). © 2022 Society of Chemical Industry.
Diabetes in intraductal papillary mucinous neoplasm of the pancreas and its association with malignancy
Authors: Zhou Hao , Chen Xin , Wang Cheng , Lin Tingting , Li Xiaoshuang , Cui Wenjing , Wang Jianhua , Wang Yu , Chen Xiao 
Published: November 2022

AbstractBackgroundIntraductal papillary mucinous neoplasms (IPMNs) have the potential to become malignant. Few studies have focused on the prevalence of the diabetes mellitus (DM) in IPMNs and its association with malignancy. We evaluated the association between DM and malignant IPMNs in this study.MethodsA total of 226 patients with pathologically confirmed IPMNs were included. Demographic data, serum biochemical data, and imaging findings were collected. The malignant IPMNs were defined as those with high‐grade dysplasia and associated invasive carcinoma. The association between DM and malignant IPMNs was studied using logistic regression analysis.ResultsThe prevalence of DM was 17.7% for all type IPMNs and 31.7% for malignant IPMNs. Compared to patients without DM, those with DM had a 3.6‐fold (odds ratio [OR]: 3.62; 95% confidence interval [CI]: 1.26–10.44) higher risk of invasive carcinoma and 2.5‐fold (OR: 2.48; 95% CI: 1.06–5.77) higher risk of malignant IPMNs. Similar results were observed in main pancreatic duct (MPD) involved IPMNs. New‐onset DM was associated with a 4.13‐fold (OR: 4.13, 95% CI: 1.27–13.36) higher risk of invasive carcinoma.ConclusionDM is associated with a higher risk of malignant IPMNs and invasive carcinoma, especially in patients with MPD‐involved IPMNs.
Effect of land use change on carbon stocks in an agricultural region of southern Benin
Authors: Houssoukpèvi Issiakou Alladé , le Maire Guerric , Aholoukpè Hervé Nonwègnon Sayimi , Fassinou Démayi Jorès Mauryo , Amadji Guillaume Lucien , Chapuis‐Lardy Lydie , Chevallier Tiphaine 
Published: November 2022

AbstractLand use change is one of the most important determinants of carbon storage and dynamics in ecosystems. Areas in the proximity of metropoles undergo land use changes but are poorly studied for their soil and biomass carbon budget, especially in Africa. Close to Benin's economic capital, the Lama Territory located on the Allada Plateau and is subject to high demographic and urbanization pressures. Carbon (C) stocks in the region are likely to be rapidly changing. This research assessed the land use changes and quantified the spatial distribution and variation of C stocks between 2000 and 2018 on the Ferralsols of the study area. Random forest models using spectral bands of LANDSAT images and some spectral indices as predictors were calibrated to classify the land use. C stocks of four C pools (aboveground, belowground biomass, litter, and soil) were mapped with InVEST (integrated valuation of ecosystem services and tradeoffs) model. Land use change occurred in 61% of the Ferralsol area between 2000 and 2018. The surface of forests and crop‐plantation associations decreased in benefit of tree plantations, adult palm groves, and built‐up areas. With the loss of forest surface and the increasing urbanization, C stocks of the region decreased by −218 Gg C with 4% uncertainty (−175 Gg C in soil pools, and − 125 Gg C in aboveground biomass with both 6% uncertainty) between 2000 and 2018. Results highlight: (i) the need for soil C stock accounting to avoid underestimation of C stocks evolution in a rural region; and (ii) the relevance of tree plantations and deforestation control to maintain the C stocks in tropical areas.
Effects of upwelling and runoff on water mass mixing and nutrient supply induced by typhoons: Insight from dual water isotopes tracing
Authors: Lao Qibin , Lu Xuan , Chen Fajin , Jin Guangzhe , Chen Chunqing , Zhou Xin , Zhu Qingmei 
Published: November 2022

AbstractThe issue of whether the increase in nutrients is supplied by increasing runoff or by enhancing upwelling in coastal marine ecosystems after a typhoon is considered controversial. This is because it is relatively difficult to quantify water mixing using traditional methods. Dual water isotopes in the northwestern South China Sea during Typhoon Wipha (July–August 2019) were investigated to address this issue. Weak mixing among different water masses was observed before the typhoon because of strong thermal stratification. After the typhoon, temperature and salinity dropped in the water column, particularly in the upper layer (<20 m), due to strengthened mixing. Mixing in the upper layer predominantly originated from coastal diluted water (36%) in the nearshore, whereas it changed to upwelling (51%) offshore. Upwelling was stronger on the right of the typhoon path (50%) than on the left (36%). Nutrients predominantly originated from the coastal diluted water input (50%) in the upper nearshore layer, while upwelling occurred (53%) offshore. The nutrient supply from upwelling on the right of the typhoon path (43%) was also more considerable than that on the left (25%). This study suggests that typhoon‐induced nutrient supply to the coastal upper water layers from the upwelling water (38%) was more substantial than that from the runoff input (30%), providing new insight into the biogeochemical and ecological responses of coastal marine systems to typhoons.
Silk Fibroin Combined with Electrospinning as a Promising Strategy for Tissue Regeneration
Authors: Chen Kai , Li Yonghui , Li Youbin , Pan Weisan , Tan Guoxin 
Published: November 2022

AbstractThe development of tissue engineering scaffolds is of great significance for the repair and regeneration of damaged tissues and organs. Silk fibroin (SF) is a natural protein polymer with good biocompatibility, biodegradability, excellent physical and mechanical properties and processability, making it an ideal universal tissue engineering scaffold material. Nanofibers prepared by electrospinning have attracted extensive attention in the field of tissue engineering due to their excellent mechanical properties, high specific surface area, and similar morphology as to extracellular matrix (ECM). The combination of silk fibroin and electrospinning is a promising strategy for the preparation of tissue engineering scaffolds. In this review, the research progress of electrospun silk fibroin nanofibers in the regeneration of skin, vascular, bone, neural, tendons, cardiac, periodontal, ocular and other tissues is discussed in detail.
Progress in Isocyanide‐Based Step‐Growth Polymerization
Authors: Li Mingzhao , Fu Xinyao , Wang Jia , Qin Anjun , Tang Ben Zhong 
Published: November 2022

AbstractIsocyanide is an important class of active synthon with a special electronic structure and abundant chemical properties, which can participate in various organic reactions and has a wide range of applications in the efficient synthesis of pharmaceutical molecules, heterocyclic compounds, and natural products, etc. With the development of chemical science, isocyanide‐based reactions have been gradually applied from the synthesis of low mass molecules to functional polymers. This review focuses on the recent progress in isocyanide‐based step‐growth polymerization, as well as the properties and applications of the resultant functional polymers. These polymerizations are divided into six main parts including Passerini polymerization, Ugi polymerization, multicomponent polymerization (MCP) of isocyanide and dialkylacetylenedicarboxylates (DAADs), MCP of isocyanide and green monomer, MCP of isocyanide and industrial waste, as well as the polymerization based on isocyanoacetate. The existing challenges and the promising opportunities are concisely discussed.
Synthesis and Characterization of a New Copolymer Consisting of Polyamide 1210 and Reactive Phosphorus−Nitrogen Flame‐Retardant
Authors: Qin Lizheng , Zhou Yang , Gong Shun , Zhao Shikun , Cao Zhiwen , Deng Jianping , Pan Kai 
Published: November 2022

AbstractThe thermal stability and reactivity of organophosphorus flame‐retardants play a critical role in synthesizing copolymerized flame‐retardant polyamides. Herein, this work successfully synthesizes a flame‐retardant CEPPA‐DDA salt (CDS) with both good thermal stability and high reactivity by reacting 2‐carboxyethyl phenyl phosphonic acid (CEPPA) with 1,12‐dodecanediamine (DDA). Flame‐retardant polyamide 1210 (FRPA) is further prepared by copolymerizing the CDS, DDA, and sebacic acid (SEA). The test results show that the introduction of CDS can significantly improve the flame‐retardant properties of FRPA. Specifically, the flame‐retardant polyamide 1210 (FRPA‐7) with 7 wt% CDS addition can reach V‐0 grade according to UL‐94 standard, accompanying limiting oxygen index value of 30.2% and tensile strength of 38.62 MPa. Compared with pure polyamide 1210, the peak heat release rate and total heat release rate of FRPA‐7 reduce by 24.11% and 9.40%, respectively. This study provides a simple strategy to prepare flame‐retardant polyamides with high flame retardancy and good mechanical properties, which are expected to show great potentials in future industrial applications.
Joint spectral quantification of MR spectroscopic imaging using linear tangent space alignment‐based manifold learning
Authors: Ma Chao , Han Paul Kyu , Zhuo Yue , Djebra Yanis , Marin Thibault , Fakhri Georges El 
Published: November 2022

PurposeTo develop a manifold learning‐based method that leverages the intrinsic low‐dimensional structure of MR Spectroscopic Imaging (MRSI) signals for joint spectral quantification.MethodsA linear tangent space alignment (LTSA) model was proposed to represent MRSI signals. In the proposed model, the signals of each metabolite were represented using a subspace model and the local coordinates of the subspaces were aligned to the global coordinates of the underlying low‐dimensional manifold via linear transform. With the basis functions of the subspaces predetermined via quantum mechanics simulations, the global coordinates and the matrices for the local‐to‐global coordinate alignment were estimated by fitting the proposed LTSA model to noisy MRSI data with a spatial smoothness constraint on the global coordinates and a sparsity constraint on the matrices.ResultsThe performance of the proposed method was validated using numerical simulation data and in vivo proton‐MRSI experimental data acquired on healthy volunteers at 3T. The results of the proposed method were compared with the QUEST method and the subspace‐based method. In all the compared cases, the proposed method achieved superior performance over the QUEST and the subspace‐based methods both qualitatively in terms of noise and artifacts in the estimated metabolite concentration maps, and quantitatively in terms of spectral quantification accuracy measured by normalized root mean square errors.ConclusionJoint spectral quantification using linear tangent space alignment‐based manifold learning improves the accuracy of MRSI spectral quantification.
Lung parenchyma transverse relaxation rates at 0.55 T
Authors: Li Bochao , Lee Nam G. , Cui Sophia X. , Nayak Krishna S. 
Published: November 2022

PurposeTo determine R2 and transverse relaxation rates in healthy lung parenchyma at 0.55 T. This is important in that it informs the design and optimization of new imaging methods for 0.55T lung MRI.MethodsExperiments were performed in 3 healthy adult volunteers on a prototype whole‐body 0.55T MRI, using a custom free‐breathing electrocardiogram‐triggered, single‐slice echo‐shifted multi‐echo spin echo (ES‐MCSE) pulse sequence with respiratory navigation. Transverse relaxation rates R2 and and off‐resonance ∆f were jointly estimated using nonlinear least‐squares estimation. These measurements were compared against R2 estimates from T2‐prepared balanced SSFP (T2‐Prep bSSFP) and estimates from multi‐echo gradient echo, which are used widely but prone to error due to different subvoxel weighting.ResultsThe mean R2 and values of lung parenchyma obtained from ES‐MCSE were 17.3 ± 0.7 Hz and 127.5 ± 16.4 Hz (T2 = 61.6 ± 1.7 ms; = 9.5 ms ± 1.6 ms), respectively. The off‐resonance estimates ranged from −60 to 30 Hz. The R2 from T2‐Prep bSSFP was 15.7 ± 1.7 Hz (T2 = 68.6 ± 8.6 ms) and from multi‐echo gradient echo was 131.2 ± 30.4 Hz ( = 8.0 ± 2.5 ms). Paired t‐test indicated that there is a significant difference between the proposed and reference methods (p < 0.05). The mean R2 estimate from T2‐Prep bSSFP was slightly smaller than that from ES‐MCSE, whereas the mean and estimates from ES‐MCSE and multi‐echo gradient echo were similar to each other across all subjects.ConclusionsJoint estimation of transverse relaxation rates and off‐resonance is feasible at 0.55 T with a free‐breathing electrocardiogram‐gated and navigator‐gated ES‐MCSE sequence. At 0.55 T, the mean R2 of 17.3 Hz is similar to the reported mean R2 of 16.7 Hz at 1.5 T, but the mean of 127.5 Hz is about 5–10 times smaller than that reported at 1.5 T.