bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geomorphological evolution of small watershed on the Loess Plateau based on slope shape spectra
Authors: Jiang Hongtao , Chen Nan , Wang Chen , Li Sijia , Ou Mengyao 
Published: October 2024

Abstract

The Loess Plateau, the world's largest loess deposit, is characterized by distinctive landforms and severe soil erosion. Limited long-term observational data has hindered a comprehensive understanding of watershed evolution in this region. This study uses laboratory-based artificial rainfall simulations to investigate the long-term geomorphological evolution of watersheds on the Loess Plateau.Digital elevation models and terrain analysis techniques were employed to analyze geomorphological processes. Through correlation analysis and Sheffield entropy calculations, an optimal combination of terrain factors—including slope, aspect, plan curvature, profile curvature, and elevation—was identified to accurately describe slope characteristics. Multi-resolution image segmentation, Moran's I, and weighted variance were used to optimize segmentation parameters, achieving precise slope unit segmentation. Based on these parameters, we classified slope shapes, constructed slope shape spectra, and analyzed their changes over time. Results indicate that as the watershed evolves, the entropy of slope spectra increases while skewness and kurtosis decrease, indicating greater geomorphological complexity and diversity. The watershed's evolution progresses through three stages: slope shape development, slope shape growth, and slope shape maturity, each marked by distinct geomorphological features. By analyzing landscape indices at both class and landscape levels, we observed significant variation during the early development stage, followed by stabilization during the maturation phase. These findings demonstrate that slope shape spectra effectively capture the dynamic evolution of slopes in the Loess Plateau, offering new insights for understanding its geomorphological evolution and providing a novel method for quantitative geomorphology.
China vs. USA: Unpacking Their Central Roles in the Global Production Network
Authors: Guan Jun , Liu Yue , Xing Lizhi , Hou Tingyu , Qiao Xiaoyong 
Published: October 2024

Abstract

The United States, as the world's largest consumer market, is through the "Climate Act", "De-Risking", and other means, and continues to promote friend-shoring, near-shoring, and industrial chain relocation plan to China's import and export trade recovery a layer of haze. From 2020 onwards, China will gradually decline from the United States' largest trading partner to the third largest trading partner, surpassed by Mexico and Canada, and the gap in market share is increasing. In conclusion, Sino-US trade friction has profoundly changed the structure of the international division of labor and the structure of traded commodities, and how to measure the impact on the global economic system as well as the industrial status of the two countries from the perspective of complexity science has become an important issue worthy of research. This paper utilizes the Multi-Region Input-Output (MRIO) Data compiled by the Asian Development Bank (ADB) to construct the Global Production Network (GPN) aimed at restoring the transfer process of intermediate products in the Global Value Chain (GVC), and designs a dynamic network characteristic indicator based on the biased random walk process, and uses it to measure the industrial impact and demand dependence of the industrial sector on a global scale. The study shows that Sino-US trade friction can ostensibly protect the United States trade, but it actually hinders the process of globalization, and can only win a certain competitive advantage for it in the short term; in the long run, this unilateral protection behavior is not only detrimental to the integration of the global economy, but will also exacerbate the trade deficit, intensify trade friction, and weaken its own economic strength. Finally, based on the principles of "mutual respect, peaceful coexistence, and win-win cooperation", this paper puts forward policy recommendations for expanding and deepening economic and trade cooperation between the two countries.
NONO directs PKM2-mediated H3T11ph to promote triple-negative breast cancer metastasis by activating SERPINE1 expression
Authors: Li Qixiang , Ci Hongfei , Zhao Pengpeng , Yang Dongjun , Zou Yi , Chen Panhai , Wu Dongliang , Shangguan Wenbing , Li Wenyang , Meng Xingjun , Xing Mengying , Chen Yuzhong , Zhang Ming , Chen Bing , Kong Lingdong , Zen Ke , Huang David C.S. , Jiang Zhiwei , Zhao Quan 
Published: October 2024

Abstract

Background
Emerging evidence has revealed that PKM2 has oncogenic functions independent of its canonical pyruvate kinase activity, serving as a protein kinase that regulates gene expression. However, the mechanism by which PKM2, as a histone kinase, regulates the transcription of genes involved in triple-negative breast cancer (TNBC) metastasis remains poorly understood.
Methods
We integrated cellular analysis, including cell viability, proliferation, colony formation, and migration assays; biochemical assays, including protein interaction studies and ChIP; clinical sample analysis; RNA-Seq and CUT&Tag data; and xenograft or mammary-specific gene knockout mouse models, to investigate the epigenetic modulation of TNBC metastasis via NONO-dependent interactions with nuclear PKM2.
Results
We report that the transcription factor NONO directly interacts with nuclear PKM2 and directs PKM2-mediated phosphorylation of histone H3 at threonine 11 (H3T11ph) to promote TNBC metastasis. We show that H3T11ph cooperates with TIP60-mediated acetylation of histone H3 at lysine 27 (H3K27ac) to activate SERPINE1 expression and to increase the proliferative, migratory, and invasive abilities of TNBC cells in a NONO-dependent manner. Conditional mammary loss of NONO or PKM2 markedly suppressed SERPINE1 expression and attenuated the malignant progression of spontaneous mammary tumors in mice. Importantly, elevated expression of NONO or PKM2 in TNBC patients is positively correlated with SERPINE1 expression, enhanced invasiveness, and poor clinical outcomes.
Conclusion
These findings revealed that the NONO-dependent interaction with nuclear PKM2 is key for the epigenetic modulation of TNBC metastasis, suggesting a novel intervention strategy for treating TNBC.
The Role of AI in Shaping Future Tourism and Hospitality Trends
Authors: Nguyen Quoc-Loc , Tran Phi-Phung 
Published: October 2024

Abstract

Integrating artificial intelligence (AI) and other advanced technologies is transforming the Tourism and Hospitality industry, reshaping operations and elevating service standards. This study offers a comprehensive bibliometric analysis of AI’s impact on the sector, providing valuable insights into key research trends, influential authors, and significant contributions from academia and industry. Using data from the Web of Science, the study examines the evolution of AI-related research from 1990 to 2023, highlighting its role in enhancing customer satisfaction, operational efficiency, and innovation. The findings reveal the industry's growing reliance on AI to address challenges such as those posed by the COVID-19 pandemic and advance smart tourism and sustainable development. This research not only maps the current landscape of AI in hospitality and tourism but also identifies future directions for technology-driven growth and innovation. By bridging the gap between academic research and industry practice, this study offers a valuable resource for scholars and practitioners aiming to harness the potential of AI to drive competitive advantage and sustainable progress in the field.
Evaluation of PAMAM dendrimers-stabilized gold nanoparticles: two-stage procedure synthesis and toxicity assessment in MCF-7 breast cancer cells
Authors: Kołodziejczyk Agnieszka Maria , Grala Magdalena , Komorowski Piotr 
Published: October 2024

Abstract

Gold nanoparticles stabilized with polyamidoamine dendrimers are one of the potential candidates for use as a contrast agent in computed tomography. This work demonstrates a rapid, two-step synthesis of such complexes, which are size-stable for up to 18 months. The first step of the synthesis involves a short 3-min sonication of gold (III) chloride hydrate with polyamidoamine dendrimers of 4th generation, while the second step uses microwaves to reduce gold (III) chloride hydrate with sodium citrate. Physicochemical characterization of the gold nanoparticle-polyamidoamine dendrimers complexes was performed using ultraviolet-visible spectroscopy, dynamic light scattering technique, infrared spectroscopy, atomic force microscopy and transmission electron microscopy. The toxicity of synthesized gold nanoparticles stabilized with polyamidoamine dendrimers on MCF-7 cell line has been studied using tetrazolium salt reduction test. The produced gold nanoparticles were administered to the MCF-7 cell culture line in two configurations: immediately after synthesis and after 18 months from synthesis. The cytotoxicity results were supplemented with studies of the influence of commercially available gold nanoparticles stabilized only with sodium citrate.
Integrating Molecular and Phenotypic Approaches to Assess Genetic Diversity in Heliconia Genotypes
Authors: AY Jagtap , PR Jadhav , SA Safeena , AU Solanke , MC Pagariya , KV Prasad , PG Kawar 
Published: October 2024

Abstract

The genus Heliconia exhibits remarkable diversity, particularly in the morphological traits of its plants. Notable variations in the color and size of inflorescence bracts, along with differences in flower type and size, are key markers for distinguishing species and genotypes. This extensive morphological diversity, observed at both interspecies and intraspecific levels, prompted the present study, which aims to assess genetic variability among 28 Heliconiagenotypes using molecular markers. We employed Sequence-Related Amplified Polymorphism (SRAP) and Inter-Simple Sequence Repeat (ISSR) markers to analyze genetic diversity. The Jaccard similarity coefficient indicated considerable genetic variation among the genotypes, with pairwise values ranging from 0.302 to 0.943, leading to the clustering of the genotypes into two major groups at a similarity coefficient of 0.59. Furthermore, multifactorial analysis (MFA) was conducted on agro-morphological traits, revealing leaf morphology and plant height as the most significant contributors to phenotypic variation. Hierarchical cluster analysis based on phenotypic data also divided the genotypes into two main clusters, corresponding to the groupings identified by molecular data. These findings highlight the value of integrating molecular and phenotypic analyses to comprehensively evaluate genetic diversity and characterize Heliconia populations. This approach not only aids in the conservation and management of Heliconia genetic resources but also supports future breeding programs aimed at developing improved cultivars with desirable ornamental and commercial traits.
Investigation of antimicrobial susceptibility and resistance gene prevalence in Capnocytophaga spp. isolated from dogs and cats and characterization of novel class A β-lactamase CST-1
Authors: Umeda Kaoru , Suzuki Michio , Imaoka Koichi 
Published: October 2024

Abstract

Purpose Capnocytophaga spp., common inhabitants of the animal oral cavity, are zoonotic pathogens transmitted to humans through dog/cat bites and cat scratches. Appropriate antimicrobial therapy is essential for treat this zoonotic disease because of the rapid deterioration at disease onset; however, antimicrobial resistance of animal bite-associated Capnocytophaga spp. has not been fully investigated. We sought to understand the antimicrobial susceptibility and prevalence of resistance genes among Capnocytophaga sp. isolates obtained from dogs and cats.Method Minimum inhibitory concentrations (MICs) of nine antibiotics for 57 C. canimorsus, C. cynodegmi, C. canis, C. felis, C. stomatis, and C. catalasegens isolates were assayed by E-test. Resistance genes were detected by polymerase chain reaction, nucleotide sequencing, and whole-genome sequencing.Results The MICs of penicillin, ceftriaxone, cefepime, clindamycin, minocycline, nalidixic acid, and ciprofloxacin were high for some isolates. The MICs of imipenem and amoxicillin/clavulanic acid were low for all isolates. Known resistance genes blacfxA2, blaOXA−347, emrF, and tetQ were detected using polymerase chain reaction. Mutation in the quinolone resistance-determining region of gyrA was also detected. Cst-1, a previously unreported gene, was identified using whole-genome analysis of two C. stomatis isolates. CST-1 was proposed as a class A, subclass A2, β-lactamase based on amino acid sequence and phylogenetic relationship. In recombination experiments, CST-1 inactivated penicillin and first- and second-generation cephems; however, sulbactam inhibited it.Conclusion Known and novel resistance genes are prevalent among Capnocytophaga spp. in animal oral cavities. The findings have significant clinical implications, especially in antimicrobial treatment.
Maximizing Oil Recovery and Economic Returns through Strategic Well Spacing in the Mishrif Formation, Southern Iraq
Authors: Khashman Mohammed A. , Shirazi Hamed , AL-Dujaili Ahmed N. , Sulaiman Nada M. 
Published: October 2024

Abstract

The Mishrif Formation in Southern Iraq is a major carbonate reservoir with significant hydrocarbon potential. However, its complex geology presents challenges for efficient oil recovery. This study investigates the optimization of oil recovery and economic outcomes by integrating dynamic modeling and well-spacing strategies in the Mishrif Formation. Dynamic reservoir modeling provides a detailed simulation of reservoir behavior, enabling precise decision-making regarding Well placement and production strategies. Optimized Well spacing maximizes reservoir drainage while minimizing interference, enhancing overall recovery rates. Using a selected oil field in Southern Iraq as a case study, this research demonstrates the application of these advanced techniques. The results indicate that integrating dynamic modeling with optimized Well spacing significantly improves oil recovery and economic performance. Key findings include increased hydrocarbon production, reduced operational costs, and improved financial returns. This study contributes to the broader understanding of enhanced oil recovery (EOR) in carbonate reservoirs, offering valuable insights for future EOR projects in similar geological settings. The implications of this research are substantial for the oil industry, particularly in regions with complex reservoirs like the Mishrif Formation. The findings suggest that adopting these advanced techniques can lead to more efficient and economically viable oil recovery operations. Future research should focus on refining these methods and exploring their applicability in other challenging reservoir environments.
Integrating ecological niche modeling and land use analysis for targeted conservation of Elaeocarpus prunifolius in India
Authors: Iralu Viheno Iralu , Adhikari Dibyendu , Upadhaya Krishna , Choudhury Hiranjit 
Published: October 2024

Abstract

Mismatch between broad spatial scales at which niche models operate vis-à-vis the finer localized scales required for conservation actions often hinder the effective translation of model outputs into actionable strategies. This study addresses this issue by integrating ecological niche modelling (ENM) with land use and land cover (LULC) analysis to improve the conservation status of a threatened tree species Elaeocarpus prunifolius in Northeast India. Using the Maximum Entropy (Maxent) model, we predicted the potential distribution of E. prunifolius using MODIS-based Enhanced Vegetation Index (EVI) and ASTER-based elevation data. The predicted distribution, covering 8.97% (~ 201,321 ha) of Meghalaya's total geographical area, was further refined through the overlay of LULC maps, identifying ~ 17,033 ha as highly suitable habitat. Field validation of the predicted distribution maps led to the discovery of new populations, confirming the model accuracy. This integrated approach demonstrates the effectiveness of combining ENM with LULC analysis for the precise identification of conservation sites, thereby improving the potential for successful conservation and reintroduction efforts for E. prunifolius. The study highlights the critical role of integrating predictive models with ground validation in developing informed and effective conservation strategies.
Correlation Between Residual Stress and Acoustic Emission Signals in the Turning Operation of Hardened Aisi 4340 Steel
Authors: Silva Anderson Edson da , Barbosa Jorge Wanderson , de Melo Ismael Nogueira Rabelo , Pottie André Leon Ferreira , Souza Mariana de Paula , Maia Luís Henrique Andrade 
Published: October 2024

Abstract

Residual stress is a critical factor that influences the lifespan of mechanical components subjected to fatigue. Compressive stress tends to extend the life of a component, whereas tensile stress can shorten it. Acoustic emission (AE) signals have been linked to phenomena occurring during manufacturing processes; however, only a few studies have been conduct to correlate AE signals with the surface integrity of machined parts. In this study, an approach for correlating residual stress with AE signals is introduced. AISI 4340 steel specimens are machined by using ceramic tools, with varied cutting speeds, feed rates, and depths of cut, and AE signals are recorded during the process. The signals are processed and analyzed by using the spectral entropy technique, also known as Shannon entropy or information entropy. The results reveal that the appropriate application of frequency filters uncovers regions of strong correlation between the spectral entropy of the AE signals and the residual stress. The observed correlation can contribute to the optimization and control of machining processes and help to achieve the desired residual stress levels.
Prevalence and Risk Factors of Depression in Rural Chinese Hemodialysis Patients During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study
Authors: Liu Zhaoqi , Lin Juhua , Chen Zhiqiang , Li Rugang , Tang Junping , Liu Quan , Ning Lin , He Min 
Published: October 2024

Abstract

Purpose
This study aimed to assess the prevalence and risk factors of depression among maintenance hemodialysis (MHD) patients in rural China during the COVID-19 pandemic.
Methods
A cross-sectional survey was conducted in 14 hemodialysis centers in northern Guangdong Province from April to October 2021. Depression was evaluated using the Self-Rating Depression Scale. Multivariate logistic regression analysis was employed to identify associated factors.
Results
Of the 450 MHD patients enrolled, 160 (35.6%) met the criteria for depression, with 91.8% cases being of mild severity. After adjusting for demographic, dialysis-related, laboratory, pandemic-associated lifestyle changes, and psychological variables, discomfort during dialysis [Odds ratio (OR) 1.654, 95% Confidence Interval (CI) 1.105–2.474] and infection worry (OR 1.719, 95% CI 1.121–2.636) were significantly associated with an increased risk of depression. In contrast, college education was linked to a lower risk (OR 0.456, 95% CI 0.245–0.846).
Conclusion
During the COVID-19 pandemic in rural China, mild depression were common among MHD patients. Mandatory behavioral interventions did not contribute to depression, while discomfort during dialysis and infection worry emerged as risk factors, and college education was associated with a lower risk.
Do social and psychological resources mitigate the effects of self-perceived negative and positive ageism on older adults' quality of life?
Authors: Kalaitzaki Argyroula , Vozikaki Maria , Werner Perla 
Published: October 2024

Abstract

The present study examined the association of self-perceived negative and positive ageism (PNA/PPA) by older adults in Greece on their quality of life (QoL) and the moderating effects of psychological capital (i.e., self-efficacy, optimism, hope, and resilience) and social support. This web-based cross-sectional study recruited 351 participants from the community through a convenience sampling method. Their mean age was 72.5 years (SD = 9.1), with the majority being women (62.7%), and married (45.3%). Participants completed online self-reported questionnaires on quality of life (The Μental Health Quality of Life; MHQoL), perceived ageism (Perceived Ageism Questionnaire; PAQ-8), social support (the Lubben Social Network Scale-6; LSNS-6), psychological resources (the Compound PsyCap Scale-12; CPC-12R), and socio-demographic characteristics. The results showed that PNA was more strongly correlated with QoL than PPA. QoL was predicted by PNA (negatively) and PPA (positively), as well as by social and psychological resources (positively). Psychological resources moderated the effects of both PNA and PPA on QoL, while social support moderated only the effects of PPA on QoL. Higher PNA was associated with lower QoL only for participants with low levels of psychological resources. In contrast, higher PPA was associated with higher QoL for those with low levels of psychological resources and high levels of social support. The study findings contribute to the literature on self-perceived negative and positive ageism and lay the groundwork for social policy guidelines aimed at developing interventions to enhance psychosocial resources, thereby improving the QoL for older adults.
Phytochemical and Antimicrobial Activity of African Star Apple [Chrysophllum albidum]
Authors: Ogbu Joy Chinyere , Etuk-Udo Godwin , Ugoh S.C. , Odunsanya O. O. , Amos Jimba Rai 
Published: October 2024

Abstract

The quantitative phytochemical analysis of Chrysophyllum albidum cotyledon crude extract indicated that it was rich in phenolics, oxalates, saponins, flavonoids, terpenoids, Phylates and tannins. The result of analysis indicates that ascorbic acid content was high compared to Niacin, riboflavin and thiamine.
The result of the antimicrobial analysis indicates that Escherichia coli was significantly susceptible to all the extracts compared to other bacteria studied.
Highly Charged Cellulose Nanocrystals via Electrochemical Oxidation
Authors: Yousefi Neptun , Hannonen Jenna , Fliri Lukas , Peljo Pekka , Kontturi Eero 
Published: October 2024

Abstract

Due to their exceptional properties, cellulose nanocrystals (CNCs) have been proposed for various applications in sustainable materials science. However, state-of-the-art production methods suffer from low yields and rely on hazardous and environmentally harmful chemicals, representing a bottleneck for more widespread utilization of CNCs. In this study, we present a novel two-step approach that combines previously established HCl gas hydrolysis with electrochemical TEMPO oxidation. This unique method allows the collection of easily dispersible CNCs with high carboxylate contents in excellent overall yields of 71%. The electromediated oxidation was conducted in aqueous conditions without the usually required co-catalysts, simplifying the purification of the materials. Moreover, the proposed process is designed for facile recycling of the used reagents in both steps. To evaluate the sustainability and scalability, the environmental impact factor was calculated, and a cost analysis was conducted.