bluuebunny/crossref_metadata_2025_split huggingface dataset:
M‐quantile regression shrinkage and selection via the Lasso and Elastic Net to assess the effect of meteorology and traffic on air quality
Authors: Ranalli M. Giovanna , Salvati Nicola , Petrella Lea , Pantalone Francesco 
Published: September 2023

AbstractIn this work, we intersect data on size‐selected particulate matter (PM) with vehicular traffic counts and a comprehensive set of meteorological covariates to study the effect of traffic on air quality. To this end, we develop an M‐quantile regression model with Lasso and Elastic Net penalizations. This allows (i) to identify the best proxy for vehicular traffic via model selection, (ii) to investigate the relationship between fine PM concentration and the covariates at different M‐quantiles of the conditional response distribution, and (iii) to be robust to the presence of outliers. Heterogeneity in the data is accounted by fitting a B‐spline on the effect of the day of the year. Analytic and bootstrap‐based variance estimates of the regression coefficients are provided, together with a numerical evaluation of the proposed estimation procedure. Empirical results show that atmospheric stability is responsible for the most significant effect on fine PM concentration: this effect changes at different levels of the conditional response distribution and is relatively weaker on the tails. On the other hand, model selection allows to identify the best proxy for vehicular traffic whose effect remains essentially the same at different levels of the conditional response distribution.
Luminescent lanthanide mixed N‐phthaloylglycinate and terephthalate coordination polymers: Structural and optical properties
Authors: Arruda Joaldo G. , Faustino Wagner M. , Pesci Rafaela B. P. , Miranda Victor M. , Deflon Victor M. , Brito Hermi F. , Costa Israel F. , Terraschke Huayna , Teotonio Ercules E. S. 
Published: September 2023

AbstractA new class of lanthanide mixed‐carboxylate ligands compounds with formula {[Ln2(phthgly)4(bdc)(H2O)6]·(H2O)4}∞, labelled as Ln3+: Eu (1) and Gd (2) coordination polymers (CP) were synthesized under mild reaction conditions between lanthanide nitrate salts and a solution of N‐phthaloylglycine (phthgly) and terephthalic (bdc) ligands. The (1) and (2) coordination polymers were formed by symmetric binuclear units, in which phthgly and bdc carboxylate ligands are coordinated to the lanthanide ions by different coordination modes. Surprisingly, all organic ligands participate in hydrogen bonding interactions, forming an extremally rigid crystalline structure. The red narrow emission bands from the 5D0→7FJ transitions of the Eu3+ ion show a high colour purity. The intramolecular energy transfer process from L→Eu3+ ion has been discussed. The experimental intensity parameters (Ω2,4) reflect lower angular distortion and polarizability of the chemical environment around the metal ion compared with other Eu3+ compounds reported in the literature. This novel class of coordination polymer offers a more attractive platform for developing luminescent functional materials for different applications.
Luminescence features of Ho3+, Er3+ and Tm3+ ions in red lead added non‐conventional antimony oxide glass system
Authors: Rao Yeti Dana , Sekhar Ayyagari Venkata , Kumar Vandana Ravi , Kumar Valluri Ravi , Venkatramaiah Nutalapati , Purnachand Nalluri , Gandhi Yerramreddy , Veeraiah Nalluri 
Published: September 2023

AbstractIn this study, a glass system based on heavy metal oxides, namely Pb3O4–Sb2O3–SiO2, was prepared with Ho2O3, Er2O3, and Tm2O3 as dopants. The prepared glass were characterized using X‐ray diffraction (XRD) and infrared (IR) studies. The luminescence efficiencies of the three rare earth ions viz., Ho3+, Er3+, and Tm3+ in the glass system were investigated, specifically focusing on green (Ho3+, Er3+), blue (Tm3+), and near‐infrared (NIR) emissions. The optical absorption (OA) and photoluminescence (PL) spectra of RE mixed glass displayed strong bands in the visible and NIR regions, which were analyzed using the Judd–Ofelt (J–O) theory. The J–O coefficients (Ωλ) were found to be in the order of Ω2 > Ω4 > Ω6 for all the three glass. Notably, the Tm3+‐doped glass exhibited the lowest Ω2 value, which was attributed to a larger degree of disorder in the glass network due to lower fractions of Sb5+ and Pb4+ ions that take part in the glass network forming. This conclusion was arrived based on the IR studies. Furthermore, the quantitative analysis of PL spectra and decay curves indicated that SbHo and SbEr glass were suitable for efficient green emission, while SbTm glass is a promising choice for blue laser emission.
Accelerated and intensified manufacturing of an adenovirus‐vectored vaccine to enable rapid outbreak response
Authors: Joe Carina C. D. , Segireddy Rameswara R. , Oliveira Cathy , Berg Adam , Li Yuanyuan , Doultsinos Dimitrios , Scholze Steffi , Ahmad Asma , Nestola Piergiuseppe , Niemann Julia , Douglas Alexander D. 
Published: September 2023

AbstractThe Coalition for Epidemic Preparedness Innovations' “100‐day moonshot” aspires to launch a new vaccine within 100 days of pathogen identification, followed by large‐scale vaccine availability within the “second hundred days.” Here, we describe work to optimize adenoviral vector manufacturing for rapid response, by minimizing time to clinical trial and first large‐scale supply, and maximizing output from the available manufacturing footprint. We describe a rapid virus seed expansion workflow that allows vaccine release to clinical trials within 60 days of antigen sequence identification, followed by vaccine release from globally distributed sites within a further 40 days. We also describe a perfusion‐based upstream production process, designed to maximize output while retaining simplicity and suitability for existing manufacturing facilities. This improves upstream volumetric productivity of ChAdOx1 nCoV‐19 by approximately fourfold and remains compatible with the existing downstream process, yielding drug substance sufficient for 10,000 doses from each liter of bioreactor capacity. This accelerated manufacturing process, along with other advantages such as thermal stability, supports the ongoing value of adenovirus‐vectored vaccines as a rapidly adaptable and deployable platform for emergency response.
Multi‐lipase gene knockdown in Chinese hamster ovary cells using artificial microRNAs to reduce host cell protein mediated polysorbate degradation
Authors: Weiß Linus , Schmieder‐Todtenhaupt Valerie , Haemmerling Frank , Lakatos Daniel , Schulz Patrick , Fischer Simon 
Published: September 2023

AbstractA large number of companies observe polysorbate (PS) degradation and associated (sub‐)visible particle formation in biological drug formulations, which compromise the stability of the drug product, ultimately posing a risk toward delivering innovative medicines to patients. The main culprits of PS degradation are hydrolytic host cell proteins (HCPs) originating from the production cell lines, which are mostly Chinese hamster ovary (CHO) cell derived. Here, a small portion of particularly difficult‐to‐remove HCPs—mainly lipases—cause hydrolytic cleavage of PS resulting in the accumulation of free fatty acid aggregates/particles. One possible mitigation strategy is the removal of such critical HCPs in the production cell line. Multigene regulation can be achieved via microRNAs (miRNAs) thereby serving as a smart tool to reduce the expression of different target genes using a single miRNA. To enable a tailored gene regulation of multiple specific target lipases self‐designed and non‐naturally occurring artificial miRNAs (amiRNA) can be designed. Based on micro‐conserved regions in the mRNA sequence of two sets of target HCPs, we provide a proof‐of‐concept for a simultaneous multi‐lipase knockdown in CHO cells using single amiRNAs. By this, we were not only able to reduce PS degradation but laid the foundation to expand this tool to other areas of cell line phenotype engineering.
Connecting green HRM practices to pro‐environmental behavior through green human capital in the hospitality sector
Authors: Ogiemwonyi Osarodion , Alam Mohammad Nurul , Alotaibi Hammad S. 
Published: September 2023

AbstractThe increasing focus on environmental sustainability has opened up a new area of research that explores the role of green “human resource management (HRM)” practices. Scholars in this field are investigating how these practices can support efforts toward achieving environmental sustainability. Although there is growing interest in studying green HRM practices, there have only been a few studies that have looked into how these practices affect the abilities, experience, expertise, intelligence, knowledge, skills, and training of employees in relation to pro‐environmental behavior (PEB). This is important as PEB can help to reduce negative environmental activities and promote green sustainability in the hospitality sector. To bridge this empirical gap, the investigation of the effects of green HRM practices on PEB was carried out, with a particular emphasis on the mediating function of green human capital (GHC). A research study was conducted on 269 stable participants in the Nigerian hospitality sector using the “partial least squares [PLS]” approach. The study successfully shows that green HRM practices, such as green hiring, green training and development, green discipline management, and environmental performance, can directly predict GHC. The analysis was based on both PLS and social cognitive theory (SCT). According to the study, green HRM practices are connected to PEB through GHC, except for green compensation. The study indicates that PEB can be predicted by environmental performance and GHC. This study has significant theoretical implications for green HRM practices and provides valuable insights to hospitality managers. Moreover, it offers suggestions for potential areas of future research.
Physical activity and cancer risk: a dose‐response analysis for the Global Burden of Disease Study 2019
Authors: Diao Xiayao , Ling Yudong , Zeng Yi , Wu Yueqian , Guo Chao , Jin Yukai , Chen Xiaojiang , Feng Shoucheng , Guo Jianrong , Ding Chao , Diao Feiyu , Du Zhicheng , Li Shanqing , Qiu Haibo 
Published: September 2023

AbstractObjectiveAdopting a healthy lifestyle, including regular physical activity, is widely believed to decrease cancer risk. This study aimed to quantitatively establish the dose‐response relationships between total physical activity and the risk of breast, colon, lung, gastric, and liver cancers.MethodsA systematic review and dose‐response analysis were conducted using PubMed and Embase from January 1, 1980 to March 20, 2023. Prospective cohort studies that examined the association between physical activity and the risks of any of the 5 outcomes were included. The search was confined to publications in the English language with a specific focus on human studies. Physical activity is standardized by using the data from US National Health and Nutrition Examination Surveys (NHANES) and the Global Burden of Disease 2019 database.ResultsA total of 98 studies, involving a combined population of 16,418,361 individuals, were included in the analysis. Among the included studies, 57 focused on breast cancer, 17 on lung cancer, 23 on colon cancer, 5 on gastric cancer, and 7 on liver cancer. Overall, elevated levels of physical activity exhibited an inverse correlation with the risk of cancer. The dose‐response curve for lung cancer exhibited a non‐linear pattern, with the greatest benefit risk reduction observed at 13,200 MET‐minutes/week of physical activity, resulting in a 14.7% reduction in risk (relative risk 0.853, uncertainty interval 0.798 to 0.912) compared to the inactive population. In contrast, the dose‐response curves for colon, gastric, breast, and liver cancers showed linear associations, indicating that heightened levels of total physical activity were consistently associated with reduced cancer risks. However, the increase in physical activity yielded a smaller risk reduction for colon and gastric cancers compared to breast and liver cancers. Compared to individuals with insufficient activity (total activity level < 600 MET‐minutes/week), individuals with high levels of activity (≥ 8,000 MET‐minutes/week) experienced a 10.3% (0.897, 0.860 to 0.934) risk reduction for breast cancer; 5.9% (0.941, 0.884 to 1.001) for lung cancer; 7.1% (0.929, 0.909 to 0.949) for colon cancer; 5.1% (0.949, 0.908 to 0.992) for gastric cancer; 17.1% (0.829, 0.760 to 0.903) for liver cancer.ConclusionsThis study demonstrated a significant inverse relationship between total physical activity and the risk of breast, gastric, liver, colon, and lung cancers.
Association of ctDNA detection and recurrence assessment in patients with neoadjuvant treatment
Authors: Zhou Jiaxin , Mo Haocong , Hu Dahai , Zhao Xiaoxu , Zhou Hong , Pan Jinghua 
Published: September 2023

AbstractBackgroundThe utilization of neoadjuvant therapy is progressively expanding in various clinical settings. However, the absence of a clinically validated biomarker to evaluate the treatment response remains a significant challenge in the field. Circulating tumor DNA (ctDNA) detection, a novel and emerging monitoring approach in the field of oncology, holds promise as a potential prognostic biomarker for patients with cancer. This meta‐analysis investigated the clinical significance of ctDNA detection as a predictive tool for cancer recurrence in patients receiving neoadjuvant treatment.MethodsA comprehensive systematic literature search was conducted using public databases to identify relevant studies that investigated the association between ctDNA detection and cancer recurrence in patients receiving neoadjuvant treatment. Hazard ratios (HRs) and their corresponding 95% confidence intervals (95% CI) were calculated to assess the relationship between cancer recurrence and relevant factors. Cancer recurrence was considered the primary outcome.ResultsA total of 23 studies encompassing 1590 patients across eight different cancer types were included in the final analysis. Positive ctDNA detection was significantly associated with higher cancer recurrence, especially at post‐neoadjuvant treatment and post‐surgery time points. The risk values for the different cancer categories and geographic areas also differed significantly.ConclusionOur comprehensive meta‐analysis revealed a significant positive correlation between ctDNA detection and a higher risk of cancer recurrence in patients receiving neoadjuvant treatment. In addition, the risk of recurrence was influenced by variations in cancer type, timing of detection, and geographic region. These findings highlight the promising clinical applicability of ctDNA as a prognostic marker and monitoring approach for patients with cancer. However, the precise mechanism is unknown and more evidence is needed for further research.
TRAF6 promotes chemoresistance to paclitaxel of triple negative breast cancer via regulating PKM2‐mediated glycolysis
Authors: Xu Han , Li Longzhi , Dong Bing , Lu Ji , Zhou Kun , Yin Xiaoxing , Sun Huizhen 
Published: September 2023

AbstractAmple evidence reveals that glycolysis is crucial to tumor progression; however, the underlying mechanism of its drug resistance is still worth being further explored. TRAF6, an E3 ubiquitin ligase, is well recognized to overexpress in various types of cancer, which predicts a poor prognosis. In our study, we discovered that TRAF6 was expressed more significantly in the case of triple‐negative breast cancer (TNBC) than in other of breast cancers, promoting chemoresistance to paclitaxel; that inhibited TRAF6 expression in the chemoresistant TNBC (TNBC‐CR) cells enhanced the sensitivity by decreasing glucose uptake and lactate production; that TRAF6 regulated glycolysis and facilitated chemoresistance via binding directly to PKM2; and that overexpressing PKM2 in the TNBC‐CR cells with TRAF6 knocked down regained significantly TRAF6‐dependent drug resistance and glycolysis. Additionally, we verified that TRAF6 could facilitate PKM2‐mediated glycolysis and chemoresistance in animal models and clinical tumor tissues. Thus, we identified the novel function of TRAF6 to promote glycolysis and drug resistance in TNBC with the regulation of PKM2, which could provide a potential molecular target for TNBC treatment.
RCC1 functions as a tumor facilitator in clear cell renal cell carcinoma by dysregulating cell cycle, apoptosis, and EZH2 stability
Authors: Wu Yunfei , Xu Zhijie , Chen Xiaoyi , Fu Guanghou , Tian Junjie , Jin Baiye 
Published: September 2023

AbstractBackgroundRCC1 functions as a pivotal guanine nucleotide exchange factor and was reported to be involved in mitosis, the assembly of the nuclear envelope, nucleocytoplasmic transport in cell physiological processes. Recent studies reported that RCC1 could regulate immunological pathways and promote the growth of some malignant solid tumors. However, the prognostic value and exact function of RCC1 remain unknown in patients with clear cell renal cell carcinoma (cRCC).MethodsThe UALCAN and KM plotter portals were used to analyze the expression profile and related tumor prognosis of RCC1 in ccRCC using data from TCGA. The expression profile of RCC1 was also confirmed in clinical samples using qRT‐PCR, western blotting, and immunohistochemistry. The role of RCC1 on ccRCC cells in vitro was confirmed by a series of functional assays. Animal experiments were performed to verify the suppressive effect of RCC1 knockdown on tumor growth in vivo. The correlation of RCC1 expression with that of EZH2 was explored in clinical samples using IHC. The interaction between RCC1 and EZH2 was further verified using a CO‐IP assay and a protein stability assay.ResultsRCC1 was upregulated in ccRCC tissues compared with normal tissues in TCGA dataset and paired clinical samples. RCC1 promoted ccRCC progression by accelerating the cell cycle and suppressing apoptosis. In addition, RCC1 could bind EZH2 and regulate its expression at the posttranscriptional level. RCC1 and EZH2 expression showed a strong correlation in clinical samples. Further investigation proved that RCC1 regulated EZH2 protein stability through the ubiquitin–proteasome pathway.ConclusionsRCC1 could be a potential therapeutic target in ccRCC. The RCC1/EZH2 axis takes part in the development of ccRCC.
Vigna unguiculata L. Walp. Leaves as a Source of Phytochemicals of Dietary Interest: Optimization of Ultrasound‐Assisted Extraction and Assessment of Traditional Consumer Habits
Authors: Pioltelli E. , Sartirana C. , Copetta A. , Brioschi M. , Labra M. , Guzzetti L. 
Published: September 2023

AbstractVigna unguiculata L. Walp. is an African crop spread worldwide mainly for pulses production. Despite being a neglected and under‐utilized food, cowpea leaves are a rich source of phytochemicals and micronutrients. The aim of the work is to characterize the phytochemical composition of cowpea leaves by an optimized ultrasound‐assisted extraction (USAE) and to compare raw and boiled leaves. A three‐level factorial design (Box‐Behnken) was employed for the optimization of the USAE considering three different parameters (% ethanol, drug‐to‐solvent ratio, and number of cycles). The optimized extracts were characterized by LC/MS/MS. Finally, leaves were boiled at 100 °C for 30 min to simulate traditional cooking procedures and compared to raw leaves. The best extraction condition was EtOH/H2O 1 : 2 v/v, drug to solvent ratio 1 : 47 w/v, and 3 extraction cycles. The phytochemicals identified mainly belong to the family of phenolic acids, flavonoids, terpenoids, and alkaloids. Boiled leaves revealed a significant loss of most phytochemicals and a net decrease of their antioxidant activity compared to the raw ones. The results highlight the potential nutraceutical value of cowpea leaves whilst the impoverishment triggered by traditional consumer habits pushes the need to evaluate alternative cooking procedures helpful in the maintenance of their phytochemical properties.
CO2 Electroreduction to C2+ Products over Cu‐Pb Heterojunction Catalyst
Authors: Han Shitao , Xia Wei , Jia Shuaiqiang , Yao Ting , Jiao Jiapeng , Wang Min , Dong Xue , Yang Jiahao , Zhou Dawei , He Mingyuan , Wu Haihong , Han Buxing 
Published: September 2023

AbstractThe electrochemical CO2 reduction reaction (CO2RR) presents a promising approach for producing valuable chemicals and fuels, offering a dual benefit in terms of environmental preservation and the efficient utilization of carbon resources. In this work, we proposed a stepwise electrodeposition method to prepare Cu−Pb bimetallic heterojunction catalyst on polyaniline‐modified carbon paper (PANI‐CuPb‐x), where x is the electrodeposition times(min). Among the studied catalysts, the electrode electrodeposited for 2 min (PANI‐CuPb‐2) exhibited a remarkable performance during the electrocatalysis CO2 to multicarbon (C2+) products process, achieving a Faraday efficiency (FE) of 81.46 % and a partial current density of 15.41 mA cm−2 at −1.2 V (vs. RHE) in an H‐type cell. The detailed study demonstrated that introducing Pb could effectively improve the formation of COOH*inhibit hydrogen evolution reaction (HER). Furthermore, the heterojunction structure in the catalysts facilitated C−C coupling of the generated C1 intermediate species, which enhanced the CO2 to C2+ reaction.
Digitalization of bridge inventory via automated analysis of point clouds for generation of BIM models
Authors: Hajdin Rade , Richter Rico , Rakic Lazar , Diederich Holger , Hildebrand Justus , Schulz Sebastian , Döllner Jürgen , Bednorz Jennifer 
Published: September 2023

AbstractBuilding Information Modelling (BIM) is becoming increasingly prevalent in infrastructure asset management, as it facilitates current management practices. This includes the construction of BIM models for roads, rails, bridges, tunnels etc. Bridges are particularly challenging to digitalize due to their complex geometry. The manual construction of bridge BIM models based on 2D plans is hardly feasible due to the related workload. Given the recent advancements in the field of 3D surveying and artificial intelligence, new possibilities emerge for an automated generation of as‐is bridge BIM models.This paper presents a novel, modular framework for the automatic processing of point clouds into as‐is BIM models, based on a fusion of artificial intelligence and heuristic algorithms. Representative bridge element datasets were provided to train neural network. Trained neural network can identify elements of a bridge, which are further processed using geometric algorithms into surface and solid bridge elements. This result can be additionally enriched with semantic information from existing databases. The final BIM models are exported in the standardized vendor‐free Industry Foundation Classes (IFC) format.
Buckling Strength of Cold‐Formed Stiffened Thin‐Walled Steel Box Bridge Piers under Cyclic Loading
Authors: Mamaghani Iraj H.P. , Mwaura Njiru 
Published: September 2023

AbstractThis paper presents numerical simulations on the behavior of thin‐walled steel tubular bridge piers of box sections under cyclic lateral loading in the presence of constant axial compression loads, using three‐dimensional finite element analysis adopted in commercial computer software ABAQUS. The analysis and experimental results are compared to show how the adopted material models, such as elastic perfectly plastic (EPP), kinematic hardening (KH), and isotropic hardening (ISO) material models are effective and reliable for capacity prediction and cyclic behavior evaluation. The effects of cyclic lateral loading on the hysteresis behavior of the thin‐walled steel tubular bridge piers of box sections have been evaluated by analyzing the hysteresis curve, envelope curve, stiffness, and strength degradation characteristics, considering the interaction of local buckling and flexural buckling. In contrast to the ISO and EPP material models, the analysis results compare reasonably well with test results using the KH material model.