bluuebunny/crossref_metadata_2025_split huggingface dataset:
Harnessing green purchase intention of generation Z consumers through green marketing strategies
Authors: Aldaihani Faraj Mazyed Faraj , Islam Md Asadul , Saatchi Seyed Ghasem , Haque Md Anamul 
Published: August 2024

AbstractDrawing on value‐belief‐norm theory and the theory of planned behavior, this study examines the gap between the application of green marketing strategies and their effectiveness in harnessing green purchase intentions through green attitudes and the use of generative artificial intelligence (AI) by Generation Z consumers. This study explores a mediated moderating model using partial least squares structural equation modeling with data collected from 357 randomly selected Generation Z consumers. The results reveal that among three green marketing strategies—green advertising, green labeling, and green packaging—only green packaging has a direct and positive influence on purchase intention, while the others do not. Moreover, green attitude has been found to be a positive and significant mediator in the relationship between green marketing strategies and purchase intention. This suggests that green marketing strategies cannot directly spark green purchase intentions; instead, the effectiveness of these depends on intervening variables like green attitude. Furthermore, the study also shows that the use of generative AI by young consumers enhances the positive role of green attitude toward purchase intention. Based on the findings, implications for theory and practice are provided, followed by arguments on research limitations and directions for future studies.
Fc receptor‐like A promotes malignant behavior in renal cell carcinoma and correlates with tumor immune infiltration
Authors: Liu Jun‐peng , Jiang Yi‐fan , Liu Jin‐wen , Tian Chong‐jiang , Lin Yu‐zhao , Yang Yun‐zhi , Zhang Ze‐ke , Fang Yi‐liang , Huang Bin , Lin Hao 
Published: August 2024

AbstractBackgroundOur study aims to investigate the mechanisms through which Fc receptor‐like A (FCRLA) promotes renal cell carcinoma (RCC) and to examine its significance in relation to tumor immune infiltration.Materials and MethodsThe correlation between FCRLA and data clinically related to RCC was explored using The Cancer Genome Atlas (TCGA), then validated using Gene Expression Omnibus (GEO) gene chip data. Enrichment and protein–protein interaction (PPI) network analyses were performed for FCRLA and its co‐expressed genes. FCRLA was knocked down in RCC cell lines to evaluate its impact on biological behavior. Then the potential downstream regulators of FCRLA were determined by western blotting, and rescue experiments were performed for verification. The relevance between FCRLA and various immune cells was analyzed through GSEA, TIMER, and GEPIA tools. TIDE and ESTIMATE algorithms were used to predict the effect of FCRLA in immunotherapy.ResultsFc receptor‐like A was associated with clinical and T stages and could predict the M stage (AUC = 0.692) and 1–3‐ and 5‐year survival rates (AUC = 0.823, 0.834, and 0.862) of RCC patients. Higher expression of FCLRA predicted an unfavorable overall survival (OS) in TCGA‐RCC and GSE167573 datasets (p = 0.03, p = 0.04). FCRLA promoted the malignant biological behavior of RCC cells through the pERK1/2/‐MMP2 pathway and was associated with tumor immune microenvironment in RCC.ConclusionFc receptor‐like A is positively correlated with poor outcomes in RCC patients and plays an oncogenic role in RCC through the pERK1/2‐MMP2 pathway. Patients with RCC might benefit from immunotherapy targeting FCRLA.
RBBP4: A novel diagnostic and prognostic biomarker for non‐small‐cell lung cancer correlated with autophagic cell death
Authors: Zhan Yajing , Zhang Zhiqian , Yin Ankang , Su Xiyang , Tang Nan , Chen Yi , Zhang Zebin , Chen Wei , Wang Juan , Wang Wei 
Published: August 2024

AbstractBackgroundNon‐small‐cell lung cancer (NSCLC) often presents at later stages, typically associated with poor prognosis. Autophagy genes play a role in the progression of tumors. This study investigated the clinical relevance, prognostic value, and biological significance of RBBP4 in NSCLC.MethodsWe assessed RBBP4 expression using the GSE30219 and TCGA NSCLC datasets and NSCLC cells, exploring its links with clinical outcomes, tumor immunity, and autophagy genes through bioinformatics analysis after transcriptome sequencing of RBBP4‐knockdown and control PC9 cells. We identified differentially expressed genes (DEGs) and conducted Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway enrichment, and protein–protein interaction network analyses. The significance of autophagy‐related DEGs was evaluated for diagnosis and prognosis using the GSE30219 dataset. Experiments both in vivo and in vitro explored the biological mechanisms behind RBBP4‐mediated autophagic cell death in NSCLC.ResultsRBBP4 overexpression in NSCLC correlates with a poorer prognosis. Eighteen types of immune cell were significantly enriched in cultures that had low RBBP4 expression compared high expression. DEGs associated with RBBP4 are enriched in autophagy pathways. Transcriptomic profiling of the PC9 cell line identified autophagy‐related DEGs associated with RBBP4 that exhibited differential expression in NSCLC, suggesting prognostic applications. In vitro experiments demonstrated that RBBP4 knockdown induced autophagy and apoptosis in PC9 cells, promoting cell death, which was inhibited by 3‐MA. In vivo, targeted siRNA against RBBP4 significantly reduced tumor development in PC9 cell‐injected nude mice, elevating autophagy‐related protein levels and inducing apoptosis and necrosis in tumor tissues.ConclusionIn NSCLC, RBBP4 upregulation correlates with poor prognosis and altered immunity. Its knockdown induces autophagic cell death in NSCLC cells. These results indicate RBBP4 as a potential NSCLC diagnostic marker and its autophagy modulation as a prospective therapeutic target.
Novel cable‐like tin@carbon whiskers derived from the Ti2SnC MAX phase for ultra‐wideband electromagnetic wave absorption
Authors: Hu Feiyue , Ding Pei , Wu Fushuo , Zhang Peigen , Zheng Wei , Sun Wenwen , Zhang Rui , Cai Longzhu , Fan Bingbing , Sun ZhengMing 
Published: August 2024

AbstractOne‐dimensional (1D) metals are well known for their exceptional conductivity and their ease of formation of interconnected networks that facilitate electron migration, making them promising candidates for electromagnetic (EM) attenuation. However, the impedance mismatch from high conductivity and their singular mode of energy loss hinder effective EM wave dissipation. Construction of cable structures not only optimizes impedance matching but also introduces a multitude of heterojunctions, increasing attenuation modes and potentially enhancing EM wave absorption (EMA) performance. Herein, we showcase the scalable synthesis of tin (Sn) whiskers from a Ti2SnC MAX phase precursor, followed by creation of a 1D tin@carbon (Sn@C) cable structure through polymerization of PDA on their surface and annealing in argon. The EMA capabilities of Sn@C significantly surpass those of uncoated Sn whiskers, with an effective absorption bandwidth reaching 7.4 GHz. Remarkably, its maximum radar cross section reduction value of 27.85 dB m2 indicates its exceptional stealth capabilities. The enhanced EMA performance is first attributed to optimized impedance matching, and furthermore, the Sn@C cable structures have rich SnO2/C and Sn/SnO2 heterointerfaces and the associated defects, which increase interfacial and defect‐induced polarization losses, as visually demonstrated by off‐axis electron holography. The development of the Sn@C cable structure represents a notable advancement in broadening the scope of materials with potential applications in stealth technology, and this study also contributes to the understanding of how heterojunctions can improve EMA performance.
Structure‐Activity Relationship of Fluorinated Benzenesulfonamides as Inhibitors of Amyloid‐β Aggregation
Authors: Žvirblis Mantas , Sakalauskas Andrius , Ali Janvand Saeid Hadi , Dudutienė Virginija , Žiaunys Mantas , Sniečkutė Rūta , Otzen Daniel E. , Smirnovas Vytautas , Matulis Daumantas 
Published: August 2024

AbstractAmyloid‐beta aggregation is considered one of the factors influencing the onset of the Alzheimer's disease. Early prevention of such aggregation should alleviate disease condition by applying small molecule compounds that shift the aggregation equilibrium toward the soluble form of the peptide or slow down the process. We have discovered that fluorinated benzenesulfonamides of particular structure slowed the amyloid‐beta peptide aggregation process by more than three‐fold. We synthesized a series of ortho‐para and meta‐para double‐substituted fluorinated benzenesulfonamides that inhibited the aggregation process to a variable extent yielding a detailed picture of the structure‐activity relationship. Analysis of compound chemical structure effect on aggregation in artificial cerebrospinal fluid showed the necessity to arrange the benzenesulfonamide, hydrophobic substituent, and benzoic acid in a particular way. The amyloid beta peptide aggregate fibril structures varied in cross‐sectional height depending on the applied inhibitor indicating the formation of a complex with the compound. Application of selected inhibitors increased the survivability of cells affected by the amyloid beta peptide. Such compounds may be developed as drugs against Alzheimer's disease.
EU Regulatory Compliance of Renewable Fuels from Steel Mill Gases and Exhaust Gases
Authors: Tenhumberg Nils 
Published: August 2024

AbstractThe production of renewable and sustainable fuels must comply with the EU regulatory framework (Renewable Energy Directive (EU) 2023/2413, Commission Delegated Regulations (EU) 2023/1184, and (EU) 2023/1185) for the use of renewable energy in the transport sector. The utilization of steel mill gases (SMGs) and alternative CO2 sources (waste incineration plants (WIPs), lime industry) to produce renewable fuels of non‐biological origin (RFNBOs) and recycled carbon fuels (RCFs) are attractive options as a high share of RFNBOs can be achieved with a significant reduction in greenhouse gas (GHG) emissions compared to fossil fuel use.
RuO2/Cysteine Nanocomposites for High‐Performance Supercapacitors
Authors: Zhang Rui , Guo Yan , Zhu Xiaoyu , Dou Maoyan , Tao Tao , He Hui , Gong Ziqin 
Published: August 2024

AbstractRuO2/Cysteine (RuO2/Cys) nanocomposites were synthesized using a facile high‐temperature hydrothermal method, with improved specific capacitance and good electrochemical durability. The advantage of using cysteine is that its molecule is rich in ligands such as carboxyl, sulfhydryl, and amino groups, which can be easily bound to hydrated RuO2, thus facilitating its effective dispersion. Analyses of its morphology, structure, and chemical composition showed that the incorporation of L‐cysteine greatly inhibited the agglomeration of RuO2 and improved its dispersion, and the scale of RuO2 was reduced from the original micrometer scale to the nanometer scale. Such structures facilitated proton transfer and electron transfer, so RuO2/Cys nanocomposites showed significantly improved specific capacitance, up to 1221.7 F g−1, and the energy density was up to 108.6 Wh kg−1 with a power density of 400.2 W kg−1 at 1 A g−1 in a 0.5 M H2SO4 electrolyte. The combination of L‐cysteine with RuO2 also effectively prevented the deformation of RuO2 in the redox process, and the capacitance retention rate was increased to 87.7% compared to 48.8% of pristine RuO2 after 10,000 charging‐discharging cycles. High capacitance performance and improved cyclic stability enable RuO2/Cys nanocomposite to be a favorable electrode material for wide applications in energy storage.
Population Pharmacokinetics of Naloxegol in Pediatric Subjects Receiving Opioids
Authors: Hruska Matthew W. , Mascelli Mary Ann , Liao Sam , Liao Lori , Davies Patrick , Kong Jennifer , Marsteller Douglas A. 
Published: August 2024

AbstractThe pharmacokinetics (PK) of naloxegol were characterized in pediatric subjects, aged 6 months or older to less than 18 years who either have or are at risk of developing opioid‐induced constipation following single dose administration. Subjects grouped as aged 12 years or older to less than 18 years, 6 months or older to less than 12 years, and 6 months or older to less than 6 years, received a single oral dose of naloxegol at doses that were estimated to achieve plasma exposures comparable to adult 12.5‐ or 25‐mg doses. Intensive and sparse plasma naloxegol samples were collected to assess naloxegol concentrations. Data were combined with previously collected adult PK data and used to estimate PK parameters using population PK analyses. Naloxegol PK was described using a 2‐compartment model with Weibull‐type absorption. Neither age nor body weight was identified as a significant covariate indicating similar PK properties in adult and pediatric subjects. PK estimates in the youngest age group were approximately 80% less than those in adults (12.5‐mg equivalent dose). Exposures in the other pediatric groups were similar to those in adult equivalent doses. The PK of naloxegol were characterized as linear over the dose range, with no clinically significant covariates and comparable PK characteristics in adults and pediatric subjects aged 6 months or older.
Runtime performance of a GAMESS quantum chemistry application offloaded to GPUs
Authors: Sosonkina Masha , Mateescu Gabriel , Xu Peng , Sattasathuchana Tosaporn , Pham Buu , Gordon Mark S. , Leang Sarom S. 
Published: August 2024

SummaryComputational chemistry is at the forefront of solving urgent societal problems, such as polymer upcycling and carbon capture. The complexity of modeling these processes at appropriate length and time scales is mainly manifested in the number and types of chemical species involved in the reactions and may require models of several thousand atoms and large basis sets to accurately capture the chemical complexity and heterogeneity in the physical and chemical processes. The quantum chemistry package General Atomic and Molecular Electronic Structure System (GAMESS) has a wide array of methods that can efficiently and accurately treat complex chemical systems. In this work, we have used the GAMESS Effective Fragment Molecule Orbital (EFMO) method for electronic structure calculation of a challenging mesoporous silica nanoparticle (MSN) model surrounded by about 4700 water molecules to investigate the strong scaling and GPU offloading on hybrid CPU‐GPU nodes. Experiments were performed on the Perlmutter platform at the National Energy Research Scientific Computing Center. Good strong scaling and load balancing have been observed on up to 88 hybrid nodes for different settings of the execution parameters for the calculation considered here. When GPUs are oversubscribed by offloading work from multiple CPU processes, using the NVIDIA multi‐process service (MPS) has consistently reduced time to solution and energy consumed. Additionally, for some configuration parameter settings, oversubscription with MPS improved performance by up to 5.8% over the case without oversubscription.
Production of Jet Fuel Range Aromatics by Alkylation of Benzene with Olefins over Bifunctional Ga/ZSM‐5 Catalyst
Authors: Wu Yushan , Guo Shuai , Wang Jida , Xu Junchen , Ding Mingyue 
Published: August 2024

AbstractAromatic components of C8−C15 are playing indispensable roles in multi‐functional properties of jet fuel. Here, we reported the controllable alkylation of benzene with mixed olefins of ethylene and propylene toward C8−C15 aromatic hydrocarbons for jet fuels over the bifunctional Ga/ZSM‐5 catalyst. The resultant 2Ga/ZSM‐5 exhibited a superior selectivity of 86.4 % (yield of 55.5 %) to C8−C15 range aromatics, at benzene conversion of 40.3 %, ethylene and propylene conversion of 99.5 % and 99.2 %, respectively. The incorporation of Ga species could effectively weaken the strong acid sites of ZSM‐5 and endow 2Ga/ZSM‐5 catalyst with appropriate acidity, therefore facilitating the benzene alkylation process and suppressing the undesired hydrogen transfer or aromatization side reactions as well, thus improving the yield of desired C8−C15aromatics for jet fuels. This work provided insight into the development of promising bifunctional catalyst for the oriented transformation of biomass‐derived chemicals to aviation fuels.
Blood Parameters in Children and Adolescents With Underweight and Atypical Anorexia Nervosa
Authors: Flamarique I. , Pineda M. , Tasa‐Vinyals E. , Borràs R. , Susana Andrés‐Perpiñá , Moreno E. , Martínez E. , Hilker I. , Plana M. T. , Mora M. , Castro‐Fornieles J. 
Published: August 2024

ABSTRACTObjectiveThis study aimed to identify biochemical, hematological, and endocrinological abnormalities in a sample of children and adolescents with underweight AN and atypical AN and to compare these results between the two groups.MethodBased on the 5th BMI‐percentile admission, adolescents with underweight AN (n = 520) and atypical AN (n = 255) were included and medical records were reviewed.ResultsLow prealbumin (35%) and neutropenia (39%), and several abnormalities in endocrinological parameters (50%) were the most common alterations found in the whole sample. Compared to the atypical AN group, the underweight AN group had significantly higher frequencies of elevated cholesterol (OR = 2.50; p < 0.001) and alanine aminotransferase (OR = 0.22; p = 0.005) and of reduced insulin‐like growth (IGF) factor‐1 (OR = 0.29; p < 0.001), T3 (OR = 0.46; p < 0.001), luteinizing hormone (OR = 0.24; p < 0.001), follicle stimulating hormone (OR = 0.58; p = 0.004), and 17b‐estradiol (OR = 0.39; p < 0.001). However, other blood parameters showed similar alterations in both groups.DiscussionBoth groups showed abnormalities in the same blood parameters, but some abnormal parameters were more common in the underweight AN group. These results suggest that atypical AN and underweight AN could present similar risks of certain medical complications.
Influence of conspecifics and road noise on the properties of the advertisement call of Phyllodytes luteolus (Anura, Hylidae)
Authors: Marques de Abreu Leonardo , Guerra Vinicius , Solé Mirco 
Published: August 2024

AbstractAcoustic communication in animals can be affected by multiple biotic (intra and interspecific) and abiotic (e.g., wind and rain) natural noises. In addition, human beings produce additional novel sources of noise, which can reduce or inhibit the reception of acoustic signals by conspecifics, leading to behavioral changes. In this study, we investigated whether sound of conspecifics and road noise additively affect the acoustic parameters of the advertisement call of males of a Yellow Heart‐tongued Frog (Phyllodytes luteolus). We hypothesized that males that vocalize in choruses (males calling nearby) and in areas close to highways (anthropic noise) will increase their temporal and spectral acoustic parameters, respectively, to avoid acoustic signal masking. We recorded the vocalizations of 38 males in environments close (N = 18) to and distant (N = 20) from highways in different social contexts (many or few individuals calling nearby). Contrary to our expectation, the results indicated that males calling in areas close to highways had lower dominant frequency calls than those from natural areas (far from highways), and that the density of males in the chorus had no influence on the acoustic parameters. Furthermore, we found a positive relationship between body size and intensity, indicating that larger individuals can emit calls that can reach greater distances. The advertisement call of Phyllodytes luteolus has a high dominant frequency, with little overlap with the frequency of anthropic noises (roads), which may explain its presence and reproductive success of this species in bromeliads from urbanized areas.
Spatiotemporal and weather effects on the reproductive success of piping plovers on Prince Edward Island, Canada
Authors: Guild Ryan , Wang Xiuquan , Hirtle Sarah , Mader Shannon 
Published: August 2024

AbstractPiping plovers (Charadrius melodus sp.) rank among North America's most endangered shorebird species, facing compounding environmental challenges that reduce habitat availability and suppress recruitment and survival rates. Despite these challenges, research on the direct effects of climate variability and extremes on their breeding ecology remains limited. Here, we employ a spatiotemporal modelling approach to investigate how location, nest timing and weather conditions influence reproductive success rates in a small breeding population of C. m. melodus in Prince Edward Island (PEI), Canada from 2011 to 2023. Analysis of 40 years of monitoring records from a subset of nesting sites revealed that flooding and predation have been persistent sources of reproductive failures in this population, with unexplained losses increasing in recent years. Contrary to our hypotheses, our modelled results did not support a negative impact of extreme high temperatures and strong precipitation events on reproductive outcomes. Instead, we identified a positive effect of TMAX and no effect of strong precipitation, perhaps due to limited exposure to extreme high temperatures (>32°C) and context‐specific risks associated with precipitation‐induced flooding. However, trends in regional climate change are likely to increase exposure to—and the influence of—such factors in the near future. Our models also identified spatiotemporal variability in apparent hatch success over the study period, as well as worse hatch outcomes across popular beachgoing regions and for delayed nesting attempts. While our results offer preliminary insights into factors affecting breeding success in this population, further research will be imperative to enhance understanding of constraints on recruitment. To this end, we encourage the collection and analysis of additional time‐series data of prey populations, human activities, fine‐scale weather data and predator/flood risks associated with each nest on PEI.
Phenotypic covariation predicts diversification in an adaptive radiation of pupfishes
Authors: Dunker Julia C. , St. John Michelle E. , Martin Christopher H. 
Published: August 2024

AbstractPhenotypic covariation among suites of traits may constrain or promote diversification both within and between species, yet few studies have empirically tested this relationship. In this study, we investigate whether phenotypic covariation of craniofacial traits is associated with diversification in an adaptive radiation of pupfishes found only on San Salvador Island, Bahamas (SSI). The radiation includes generalist, durophagous, and lepidophagous species. We compared phenotypic variation and covariation (i.e., the P matrix) between (1) allopatric populations of generalist pupfish from neighboring islands and estuaries in the Caribbean, (2) SSI pupfish allopatric lake populations with only generalist pupfish, and (3) SSI lake populations containing the full radiation in sympatry. Additionally, we examine patterns observed in the P matrices of two independent lab‐reared F2 hybrid crosses of the two most morphologically distinct members of the radiation to make inferences about the underlying mechanisms contributing to the variation in craniofacial traits in SSI pupfishes. We found that the P matrix of SSI allopatric generalist populations exhibited higher levels of mean trait correlation, constraints, and integration with simultaneously lower levels of flexibility compared to allopatric generalist populations on other Caribbean islands and sympatric populations of all three species on SSI. We also document that while many craniofacial traits appear to result from additive genetic effects, variation in key traits such as head depth, maxilla length, and lower jaw length may be produced via non‐additive genetic mechanisms. Ultimately, this study suggests that differences in phenotypic covariation significantly contribute to producing and maintaining organismal diversity.