bluuebunny/crossref_metadata_2025 huggingface dataset:
Predictors and Impact of Cardiogenic Shock in Oldest-Old ST-Elevation Myocardial Infarction Patients
Authors: Donazzan Luca , Ruzzarin Alessandro , Muraglia Simone , Fabris Enrico , Verdoia Monica , Zilio Filippo , Caretta Giorgio , Pezzato Andrea , Campo Gianluca , Unterhuber Matthias
Published: January 2025

Background: Cardiogenic shock (CS) is the most frequent cause of in-hospital mortality after ST-elevation myocardial infarction (STEMI). Data about CS in very elderly (age ≥ 85 years) STEMI patients are scarce. We sought to assess the prognostic factors and the short- and mid-term impact of CS in this population. Methods: Consecutive very elderly STEMI patients undergoing invasive treatment were included in a retrospective multicenter registry. Results: Among 608 patients, 72 (11.8%) fulfilled experienced CS. Peripheral artery disease (PAD) (OR: 2.25, 95% CI: 1.29–3.92, p < 0.01) and cardiac arrest at presentation (OR: 4.36, 95% CI: 2.32–8.21, p < 0.01) were the major independent predictors of CS. Age (HR: 1.07, 95% CI: 1.03–1.11, p < 0.001), PAD (HR: 1.29, 95% CI: 1.01–1.66, p = 0.045), previous MI (HR: 2.16, 95% CI: 1.32–3.55, p = 0.002), and cardiac arrest at presentation (HR: 1.59, 95% CI: 1.29–1.96, p < 0.001) were the major independent predictors of death. CS was associated with a higher risk of mortality at 30 days (adjusted HR: 4.21, 95% CI: 2.19 to 7.78, p < 0.01) mostly driven by higher intraprocedural and in-hospital mortality. Among patients who survived the acute phase and hospitalization, CS at presentation was not associated with a higher mortality risk during the remaining follow-up period (log-rank p = 0.78). Conclusions: At short-term follow-up, very elderly STEMI patients presenting with CS had a higher risk of mortality when compared to non-CS patients. Interestingly, CS patients surviving the acute phase showed a similar survival rate to non-CS patients after discharge.
ApWD40a, a Member of the WD40-Repeat Protein Family, Is Crucial for Fungal Development, Toxin Synthesis, and Pathogenicity in the Ginseng Alternaria Leaf Blight Fungus Alternaria panax
Authors: Lan Jinling , Mei Shengjie , Du Yingxue , Chi Meili , Yang Jiayi , Guo Shuliu , Chu Mingliang , He Ronglin , Gao Jie
Published: January 2025

Alternaria panax, the primary pathogen that causes ginseng Alternaria leaf blight disease, can lead to a 20–30% reduction in ginseng yield. WD40 repeat-containing proteins are evolutionarily conserved proteins with diverse functions between different organisms. In this study, we characterized the roles of a WD40 repeat-containing protein in A. panax. The deletion of ApWD40a impaired the mycelial growth, reduced the sporulation, and significantly decreased the efficiency in utilizing various carbon sources. The ΔApwd40a mutant showed increased sensitivity to osmotic stress and metal ion stress induced by sorbitol, NaCl, and KCl, but decreased the sensitivity to a cell wall stress factor (SDS) and oxidative stress factors (paraquat and H2O2). Pathogenicity assays performed on detached ginseng leaves and roots revealed that the disruption of ApWD40a significantly decreased the fungal virulence through attenuating melanin and mycotoxin production by A. panax. A comparative transcriptome analysis revealed that ApWD40a was involved in many metabolic and biosynthetic processes, including amino acid metabolism, carbon metabolism, sulfate metabolic pathways, and secondary metabolite pathways. In particular, a significantly upregulated gene that encoded a sulfate permease 2 protein in ΔApwd40a, named ApSulP2, was deleted in the wild-type strain of A. panax. The deletion of ApSulP2 resulted in reduced biomass under sulfate-free conditions, demonstrating that the sulfate transport was impaired. Taken together, our findings highlight that ApWD40a played crucial roles in different biological processes and the pathogenicity of A. panax through modulating the expressions of genes involved in various primary and secondary metabolic processes.
Research on the Urban Village Renewal Mechanism Based on Rent Gap Theory: A Case Study in Xi’an, China
Authors: Xiao Jiaxi , Dong Fan
Published: January 2025

Urban renewal is a critical approach to address issues such as the scarcity of urban spatial resources and infrastructure aging in the later stages of urbanization. Urban village renewal is one of the typical practices of urban renewal. Based on China’s unique dual urban–rural land system and urbanization process, this study localizes the rent gap theory. It applies the modified rent gap theory to conduct a case study on Wangjiapeng Village in Xi’an using the process-tracing method. It explores the internal mechanisms of urban village renewal and the key factors influencing the progress of renewal projects. The findings reveal that the size of the rent gap directly determines the attractiveness and timing of urban village renewal. However, issues such as interest conflicts, administrative redundancy, and government supervision during the renewal process significantly increase transaction costs, raising the rent gap threshold and thereby affecting the progress and outcomes of the renewal. This paper proposes a rent gap theory that is more suited to China’s context and further expands its applicability through case study research. The practical experience of Wangjiapeng Village provides important policy implications for other major cities in China and cities currently in the late stages of urbanization.
Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards
Authors: Takáts Tünde , Pásztor László , Árvai Mátyás , Albert Gáspár , Mészáros János
Published: January 2025

Empirically based approaches, like the Universal Soil Loss Equation (USLE), are appropriate for estimating mass movement attributed to rill erosion. USLE and its associates become widespread even in spatially extended studies in spite of its original plot-level concept, as well as with certain constraints on the supply of suitable input spatial data. At the same time, there is a continuously expanding opportunity and offer for the application of remote sensing (RS) imagery together with machine learning (ML) techniques to model and monitor various environmental processes utilizing their versatile benefits. The present study focused on the applicability of data-driven geospatial models for predicting soil erosion in three vineyards in the Upper Pannon Wine Region, Central Europe, considering the seasonal variation in influencing factors. Soil loss was formerly modeled by USLE, thus providing non-observation-based reference datasets for the calibration of parcel-specific prediction models using various ML methods (Random Forest, eXtreme Gradient Boosting, Regularized Support Vector Machine with Linear Kernel), which is a well-established approach in digital soil mapping (DSM). Predictions used spatially exhaustive, auxiliary, and environmental covariables. RS data were represented by multi-temporal Sentinel-2 satellite imagery data, which were supplemented by (i) topographic covariates derived from a UAV-based digital surface model and (ii) digital primary soil property maps. In addition to spatially quantifying soil erosion, the feasibility of transferring the inferred models between nearby vineyards was tested with ambiguous outcomes. Our results indicate that ML models can feasibly replace the empirical USLE model for erosion prediction. However, further research is needed to assess model transferability even to nearby parcels.
The Five-Year Outcomes of Breast Cancer Surgical Management at the Colentina Surgical Clinic, Bucharest, Romania: A Descriptive Retrospective Analysis Between 2019 and 2023
Authors: Botezatu Cristian , Costea Daniel-Ovidiu , Nichilò Martina , Lazar Angela Madalina , Andraș Dan , Radu Mircea-Ion , Mastalier Bogdan
Published: January 2025

Background: Breast cancer still represents the most commonly diagnosed cancer among women, accounting for 12.5% of all new annual cancer cases worldwide. In Romania in 2020, breast cancer was the most common, with a share of new cases of 26.9%, far behind the rates of colon cancer (11.8%) and cervix cancer (7.5%). The aim of this study is to reveal five years of experience in treating breast cancer at the Surgical Clinic of the Colentina Hospital in Bucharest, Romania. Methods: Retrospective analysis, including 68 patients admitted to our clinic between January 2019 and December 2023 undergoing modified radical mastectomy, sectorectomy, or subcutaneous mastectomy. Results: Madden-modified radical mastectomy with total excision of the axillary lymph nodes accounted for 77.94% of surgeries, with a complication rate of 13.2%, represented by lymphedema of the ipsilateral arm and prepectoral seroma. Conclusions: Continuous innovation regarding early diagnosis and treatment methods in our surgical clinic will, hopefully, contribute to improving the outcomes of our patients.
Effect of Tool Shoulder Profile on Grain and Texture Development in the Weld Interface Zone of Friction-Stir-Welded Dissimilar AA2024/AA7075 Joints
Authors: Li Qi , Zhang Chenghang , Sun Jianhong , Shou Haoge
Published: January 2025

Friction-stir-welded dissimilar AA2024/AA7075 joints have an apparent influence on grain and texture development at the weld interface due to differences in physical and chemical properties between the two aluminum alloys. In this work, the effect of tool shoulder profile on grain structure and texture evolution in the center interface zone (CIZ) and bottom interface zone (BIZ) of dissimilar AA2024/AA7075 joints were quantitatively studied by electron back-scattering diffraction (EBSD). The results indicate that abundant fine and coarse equiaxial grains are produced in the CIZ and BIZ of the joints produced with a concentric circle shoulder (CCS) and three-helix shoulder (THS), and the average grain size of the BIZ is lower than that of the CIZ for the same CCS or THS joint. A higher degree of recrystallization occurs in the CIZ of the joint with a CCS than that of the joint with a THS, while a similar degree of recrystallization is presented in the BIZ of the two joints. For the distribution of local misorientation angle between the two sides of the interface in the same CCS or THS joint, the CIZ manifests relatively uniform behavior, while the BIZ presents the characteristics of uneven distribution. Tool shoulder profile has a significant impact on the texture components at the weld interface, which results in different types of shear textures generated in the CIZ and BIZ of the two joints. It is beneficial to make out the microstructural evolution mechanism at the weld interface in dissimilar FSW joints for engineering applications in this study.
Ply Optimization of Composite Laminates for Processing-Induced Deformation and Buckling Eigenvalues Based on Improved Genetic Algorithm
Authors: Liu Qingchuan , Wang Xiaodong , Guan Zhidong , Li Zengshan , Yang Lingxiao
Published: January 2025

The structure of thermoset composite laminated plates is made by stacking layers of plies with different fiber orientations. Similarly, the stiffened panel structure is assembled from components with varying ply configurations, resulting in thermal residual stresses and processing-induced deformations (PIDs) during manufacturing. To mitigate the residual stresses caused by the geometric features of corner structures and the mismatch between the stiffener-skin ply orientations, which lead to PIDs in composite-stiffened panels, this study proposes a multi-objective stacking optimization strategy based on an improved adaptive genetic algorithm (IAGA). The viscoelastic constitutive model was employed to describe the modulus variation during the curing process to ensure computational accuracy. In this study, the IAGA was proposed to optimize the ply-stacking sequence of L-shaped stiffeners in composite laminated structures. The results demonstrate a reduction in the spring-in angle to 0.12°, a 50% improvement compared to symmetric balanced stacking designs, while the buckling eigenvalues were improved by 20%. Additionally, the IAGA outperformed the traditional non-dominated sorting genetic algorithm (NSGA), achieving a threefold increase in the Pareto solution diversity under identical constraints and reducing the convergence time by 70%. These findings validate the effectiveness of asymmetric ply design and provide a robust framework for enhancing the structural performance and manufacturability of composite laminates.
Study on Synergistically Improving Corrosion Resistance of Microarc Oxidation Coating on Magnesium Alloy by Loading of Sodium Tungstate and Silane Treatment
Authors: Wang Ziyi , An Lingyun , Chang Chenggong , Meng Leichao , Lei Donghao , Peng Jianhong , Wang Zhanying
Published: January 2025

Sodium tungstate (Na2WO4) was filled into the micropores and onto the surface of a magnesium alloy microarc oxidation (MAO) coating by means of vacuum impregnation. Subsequently, the coating was sealed through silane treatment to synergistically boost its corrosion resistance. The phase composition of the coating was inspected using XRD. FTIR was utilized to analyze the functional groups in the coating. XPS was employed to study the chemical composition and valence state of the coating. The surface and cross-sectional morphology of the coating, along with its elemental composition and distribution, were investigated by SEM and EDS. Meanwhile, the thickness of the coating was analyzed using Image J software. Electrochemical impedance spectroscopy (EIS) was employed to determine the corrosion resistance of the coating. The results show that compared with an MAO coating, M-0.125W composite coating (only filled with sodium tungstate on the surface of the MAO coating), and M-SG composite coating (only receiving silanization treatment applied to the surface of the MAO coating), the corrosion resistance of the M-nW-SG composite coating (loaded with sodium tungstate on the surface of the MAO coating and then treated with silane) is significantly improved. This is mainly attributed to the fact that sodium tungstate can be combined with Mg2+ to form insoluble magnesium tungstate protective film, which blocks corrosion media. At the same time, silanization treatment further seals the MAO coating and increases the compactness of the coating. In addition, with the increase in the impregnation concentration of sodium tungstate, the content of sodium tungstate in the M-nW-SG composite coating improves, and the sealing effect of silanization treatment is better. When the impregnation concentration of sodium tungstate is 0.1 mol/L or above, the MAO coating with sodium tungstate can be completely sealed. When the impregnation concentration of sodium tungstate is 0.125 mol/L, M-0.125W-SG composite coating has the best corrosion resistance, and its impedance modulus value can be maintained at 8.06 × 106 Ω·cm2 after soaking in 3.5 wt.% NaCl solution for 144 h, which is about three orders of magnitude higher than those of MAO coating and M-0.125W and M-SG composite coatings.
Another View on Soft Expert Set and Its Application in Multi-Criteria Decision-Making
Authors: Khan Abid , Abidin Muhammad Zainul , Sarwar Muhammad Amad
Published: January 2025

The soft expert set (SES) is a useful mathematical tool for addressing uncertainty, with significant applications in decision-making. This study identifies some inconsistencies in the original SES framework. The study demonstrates that the majority of SES operations are in conflict with the foundational definition of an SES. Consequently, the definition of an SES is revised to not only resolve the existing complications but also enhance its applicability in real-world problems. In addition, a novel multi-criteria decision-making (MCDM) approach is proposed based on the revised SES framework, along with its concrete algorithm. The proposed algorithm is applied to a supply chain problem, and its results are compared with two existing SES-based decision-making approaches. The results reveal that the proposed algorithm offers a more precise ranking of decision alternatives and has greater applicability as compared to the other two methods. The findings of this study advance the theoretical understanding of the SES and provide a more robust tool for decision-makers in MCDM environments.
An Evolutionary Learning Whale Optimization Algorithm for Disassembly and Assembly Hybrid Line Balancing Problems
Authors: Cui Xinshuo , Meng Qingbo , Wang Jiacun , Guo Xiwang , Liu Peisheng , Qi Liang , Qin Shujin , Ji Yingjun , Hu Bin
Published: January 2025

In order to protect the environment, an increasing number of people are paying attention to the recycling and remanufacturing of EOL (End-of-Life) products. Furthermore, many companies aim to establish their own closed-loop supply chains, encouraging the integration of disassembly and assembly lines into a unified closed-loop production system. In this work, a hybrid production line that combines disassembly and assembly processes, incorporating human–machine collaboration, is designed based on the traditional disassembly line. A mathematical model is proposed to address the human–machine collaboration disassembly and assembly hybrid line balancing problem in this layout. To solve the model, an evolutionary learning-based whale optimization algorithm is developed. The experimental results show that the proposed algorithm is significantly faster than CPLEX, particularly for large-scale disassembly instances. Moreover, it outperforms CPLEX and other swarm intelligence algorithms in solving large-scale optimization problems while maintaining high solution quality.
The Neutrophil to Lymphocyte Ratio and Other Full Blood Count Indices in Retinal Diseases: A Systematic Review of the Literature
Authors: Kazantzis Dimitrios , Machairoudia Genovefa , Theodossiadis Panagiotis , Chatziralli Irini
Published: January 2025

Background and Objectives: The neutrophil to lymphocyte ratio (NLR) and other full blood count indices have been used as a marker of inflammation in a variety of diseases. The aim of the current review is to summarize the existing knowledge on the use of these indices in retinal diseases. Materials and Methods: A systematic review of the literature was conducted to find eligible articles. The PUBMED and Scopus databases were systematically searched for relevant studies examining full blood count indices in retinal diseases. Results: The NLR was elevated in a number of vitreoretinal conditions, such as wet age-related macular degeneration (AMD), diabetic retinopathy and retinal vein occlusion, compared to controls. Full blood count indices could be useful in predicting the response to anti-VEG treatment in patients with wet AMD or diabetic macular edema (DME). Conclusions: The NLR and other indices can be used as diagnostic markers in retinal diseases and as prognostic factors of the response to treatment. The small sample size and short follow-up of the included studies and the variation in the measurement and cutoffs used for the NLR are limitations of its use in retinal conditions. Future studies need to further validate these findings and try to establish a link between these ratios and retinal phenotypes.
Health Risk Factors, Prevention, and Inequalities
Authors: Ferrara Pietro
Published: January 2025

The powerful quote from Martin Luther King Jr [...]
Aquatic Invertebrate Antimicrobial Peptides in the Fight Against Aquaculture Pathogens
Authors: Rodrigues Tomás , Guardiola Francisco Antonio , Almeida Daniela , Antunes Agostinho
Published: January 2025

The intensification of aquaculture has escalated disease outbreaks and overuse of antibiotics, driving the global antimicrobial resistance (AMR) crisis. Antimicrobial peptides (AMPs) provide a promising alternative due to their rapid, broad-spectrum activity, low AMR risk, and additional bioactivities, including immunomodulatory, anticancer, and antifouling properties. AMPs derived from aquatic invertebrates, particularly marine-derived, are well-suited for aquaculture, offering enhanced stability in high-salinity environments. This study compiles and analyzes data from AMP databases and over 200 scientific sources, identifying approximately 350 AMPs derived from aquatic invertebrates, mostly cationic and α-helical, across 65 protein families. While in vitro assays highlight their potential, limited in vivo studies hinder practical application. These AMPs could serve as feed additives, therapeutic agents, or in genetic engineering approaches like CRISPR/Cas9-mediated transgenesis to enhance resilience of farmed species. Despite challenges such as stability, ecological impacts, and regulatory hurdles, advancements in peptidomimetics and genetic engineering hold significant promise. Future research should emphasize refining AMP enhancement techniques, expanding their diversity and bioactivity profiles, and prioritizing comprehensive in vivo evaluations. Harnessing the potential of AMPs represents a significant step forward on the path to aquaculture sustainability, reducing antibiotic dependency, and combating AMR, ultimately safeguarding public health and ecosystem resilience.
Skin Microbiota: Mediator of Interactions Between Metabolic Disorders and Cutaneous Health and Disease
Authors: Kreouzi Magdalini , Theodorakis Nikolaos , Nikolaou Maria , Feretzakis Georgios , Anastasiou Athanasios , Kalodanis Konstantinos , Sakagianni Aikaterini
Published: January 2025

Metabolic disorders, including type 2 diabetes mellitus (T2DM), obesity, and metabolic syndrome, are systemic conditions that profoundly impact the skin microbiota, a dynamic community of bacteria, fungi, viruses, and mites essential for cutaneous health. Dysbiosis caused by metabolic dysfunction contributes to skin barrier disruption, immune dysregulation, and increased susceptibility to inflammatory skin diseases, including psoriasis, atopic dermatitis, and acne. For instance, hyperglycemia in T2DM leads to the formation of advanced glycation end products (AGEs), which bind to the receptor for AGEs (RAGE) on keratinocytes and immune cells, promoting oxidative stress and inflammation while facilitating Staphylococcus aureus colonization in atopic dermatitis. Similarly, obesity-induced dysregulation of sebaceous lipid composition increases saturated fatty acids, favoring pathogenic strains of Cutibacterium acnes, which produce inflammatory metabolites that exacerbate acne. Advances in metabolomics and microbiome sequencing have unveiled critical biomarkers, such as short-chain fatty acids and microbial signatures, predictive of therapeutic outcomes. For example, elevated butyrate levels in psoriasis have been associated with reduced Th17-mediated inflammation, while the presence of specific Lactobacillus strains has shown potential to modulate immune tolerance in atopic dermatitis. Furthermore, machine learning models are increasingly used to integrate multi-omics data, enabling personalized interventions. Emerging therapies, such as probiotics and postbiotics, aim to restore microbial diversity, while phage therapy selectively targets pathogenic bacteria like Staphylococcus aureus without disrupting beneficial flora. Clinical trials have demonstrated significant reductions in inflammatory lesions and improved quality-of-life metrics in patients receiving these microbiota-targeted treatments. This review synthesizes current evidence on the bidirectional interplay between metabolic disorders and skin microbiota, highlighting therapeutic implications and future directions. By addressing systemic metabolic dysfunction and microbiota-mediated pathways, precision strategies are paving the way for improved patient outcomes in dermatologic care.
Isolation and Characterization of Colistin-Resistant Enterobacteriaceae from Foods in Two Italian Regions in the South of Italy
Authors: Fraccalvieri Rosa , Bianco Angelica , Difato Laura Maria , Capozzi Loredana , Del Sambro Laura , Castellana Stefano , Donatiello Adelia , Serrecchia Luigina , Pace Lorenzo , Farina Donatella , Galante Domenico , Caruso Marta , Tempesta Maria , Parisi Antonio
Published: January 2025

The emergence of colistin-resistant Enterobacteriaceae in food products is a growing concern due to the potential transfer of resistance to human pathogens. This study aimed to assess the prevalence of colistin-resistant Enterobacteriaceae in raw and ready-to-eat food samples collected from two regions of Italy (Apulia and Basilicata) and to evaluate their resistance phenotypes and genetic characteristics. A total of 1000 food samples were screened, with a prevalence of 4.4% of colistin-resistant Enterobacteriaceae. The majority of the isolates belonged to Enterobacter spp. (60%), followed by Moellerella wisconsensis, Atlantibacter hermannii, Klebsiella pneumoniae, and Escherichia coli, among others. Genomic sequencing and antimicrobial susceptibility testing revealed high levels of resistance to β-lactams, with most isolates exhibiting multidrug resistance (MDR). Notably, seven isolates harbored mcr genes (mcr-1, mcr-9, and mcr-10). Additionally, in four of them were predicted the IncHI2 plasmids, known to facilitate the spread of colistin resistance. Furthermore, 56 antimicrobial resistance genes were identified, suggesting the genetic mechanisms underlying resistance to several antibiotic classes. Virulence gene analysis showed that E. coli and other isolates carried genes linked to pathogenicity, increasing the potential risk to public health. This study emphasizes the role of food as a potential reservoir for colistin-resistant bacteria and the importance of monitoring the spread of AMR genes in foodborne pathogens.
Coal-Hosted Al-Ga-Li-REE Deposits in China: A Review
Authors: Zhang Yanbo , Liu Xiangyang , Zhao Wei
Published: January 2025

Investigation of the critical metal elements in coal and coal-bearing strata has become one of the hottest research topics in coal geology and coal industry. Coal-hosted Ga-Al-Li-REE deposits have been discovered in the Jungar and Daqingshan Coalfields of Inner Mongolia, China. Gallium, Al, and Li in the Jungar coals have been successfully extracted and utilized. This paper reviews the discovery history of coal-hosted Ga-Al-Li-REE deposits, including contents, modes of occurrence, and enrichment origin of critical metals in each coal mine, including Heidaigou, Harewusu, and Guanbanwusu Mines in the Jungar Coalfield and the Adaohai Coal Mine in the Daqingshan Coalfield, as well as the recently reported Lao Sangou Mine. Gallium and Al in the coals investigated mainly occur in kaolinite, boehmite, diaspore, and gorceixite; REEs are mainly hosted by gorceixite and kaolinite; and Li is mainly hosted by cholorite. Gallium, Al, and REEs are mainly derived from the sediment-source region, i.e., weathered bauxite in the Benxi Formation. In addition, REE enrichment is also attributed to the intra-seam parting leaching by groundwater. Lithium enrichment in the coals is of hydrothermal fluid input. The content of Al2O3 and Ga in coal combustions (e.g., fly ash) is higher than 50% and ~100 µg/g, respectively; concentrations of Li in these coals also reach the cut-off grade for industrial recovery (for example, Li concentration in the Haerwusu coals is ~116 µg/g). Investigations of the content, distribution, and mineralization of critical elements in coal not only provide important references for the potential discovery of similar deposits but also offer significant coal geochemical and coal mineralogical evidence for revealing the geological genesis of coal seams, coal seam correlation, the formation and post-depositional modification of coal basins, regional geological evolution, and geological events. Meanwhile, such investigation also has an important practical significance for the economic circular development of the coal industry, environmental protection during coal utilization, and the security of critical metal resources.
Sedimentary Characteristics of Shallow Water Delta: A Case Study from the Paleogene Funing Formation in the Haian Sag of the Subei Basin, China
Authors: Ma Zhao , Dong Guiyu , Wang Tianwei , Qiu Yongfeng , Bi Tianzhuo , Yang Ziyi
Published: January 2025

Haian Depression is one of the key areas for oil and gas resource replacement in Jiangsu Oilfield. Since the 13th cycle of the Five Year Plan, with the continuous improvement in the exploration level of the Taizhou Formation (K2t), the difficulty of tapping potential has gradually increased. It is urgent to change our thinking and expand new exploration layers. From the perspective of oil and gas display frequency in different layers of the Haian Depression, except for K2t, the oil and gas systems with the Fusan Member (E1f3) as the main reservoir have good oil and gas display frequency, demonstrating great exploration potential. This study of sedimentary characteristics is the basis of analyzing the sedimentary environment and lithofacies paleogeographic conditions and is of great significance for determining the distribution range of subtle oil and gas reservoirs. Based on this understanding, this study was specially established to systematically analyze the logging curves of forty-three wells in the research area, combined with core observations of eighteen coring wells and the analysis of eight seismic profiles. The results show that the low slope, warm and humid climate, sufficient provenance, and frequent lake level rise and fall cycles during the deposition period of the E1f3 member of the Haian Sag provide a favorable depositional background for the development of shallow water delta in the study area. There are many gullies in the research area, mainly consisting of U-shaped gullies and W-shaped gullies. Slope breaks are mainly affected by structural factors leading to fractures, and the types are mostly fault terrbreakslope breaks. In the study area, the shallow water delta deposits during the deposition period of the four key sand groups in the Fu3 Formation are dominated by the shallow water delta front and shallow water prodelta. The shallow water delta plain subfacies are not significantly developed because of erosion. The sand bodies are mainly distributed in the Sunjiawa Subdepression, and the Fuan Subdepression in the north of the depression, and the sand bodies in the plane show the filling characteristics of the strip. Based on the above research, a sedimentary model of shallow water delta during the E1f3 section of the Haian Depression was established, providing a geological basis for the design of exploration and development plans for hidden oil and gas reservoirs in the next step.
Investigation of Interfacial Characteristics as a Key Aspect of the Justification of the Reagent Regime for Coal Flotation
Authors: Aleksandrova Tatyana N. , Kuznetsov Valentin V. , Prokhorova Evgeniya O.
Published: January 2025

This work presents a comprehensive approach for the justification of the reagent regime of coal flotation by investigating the interfacial characteristics of flotation phases with various techniques. For the energy characterization of the surface processes in flotation systems, a method of establishing the components of the specific surface Gibbs energy on the basis of a numerical estimation of surface free energy change during the adsorption of flotation reagents using the Owens–Wendt–Rabel–Kaelble technique was proposed. Using the developed approach, the features of the kinetics of n-hexane sorption on the surface of coal samples were established. The substantiation of differences in the potential mechanisms of the fixation of strictly apolar and aromatic reagents is based on the results of the quantum–chemical modeling of the states of the coal–adsorbate system using the software packages Avogadro and Orca. The simulation shows the possibility of aliphatic and aromatic reagents’ synergetic effects on coal surface hydrophobization. Based on the results of quantum–chemical modeling, it was found that for the physical adsorption of an oxyethylated nonyl-phenol molecule on a molecular fragment of the coal surface, according to the Weiser model, the decrease in the energy of the system was 0.05562 eV, which indicates the high thermodynamic probability of the physical sorption of this compound. The parameters of the Langmuir monomolecular model for the sorption of oxyethylated nonyl-phenol on the surface of the studied coal samples were established. The criterion characterizing the interphase phenomena in the flotation system based on the results of potentiometric studies of the interfacial characteristics, Ef, was proposed. It was found that for the studied values of the flow rate of oxyethylated nonyl-phenol, the highest value of Ef was achieved when the value of the sorption of the reagent equaled 63.99% of the limiting sorption capacity. The performance of the proposed reagents for coal flotation was confirmed by flotation tests.
New Oxygenated Methoxy-p-Cymene Derivatives from Leopard’s Bane (Doronicum columnae Ten., Asteraceae) Essential Oil: Synthesis Facilitating the Identification of Isomeric Minor Constituents in Complex Matrices
Authors: Dimitrijević Milan Ž. , Mladenović Marko Z. , Nešić Milica D. , Dekić Milan S. , Raičević Vidak N. , Radulović Niko S.
Published: January 2025

Species of the genus Doronicum are known for their pharmacological properties and essential oils, the chemical composition of which remains inadequately studied. In this work, GC-MS analysis, synthesis, and spectral techniques (UV, IR, MS, and NMR) were employed to identify 83 constituents in the essential oil from D. columnae roots, which accounted for 98.1% of the total GC-peak area. The major components were thymyl isobutyrate (32.8%) and thymyl 2-methylbutyrate (22.8%), while the minor constituents were methoxy-p-cymene derivatives. Six new natural products were identified through synthesis, GC co-injection experiments and spectral characterization, including esters (isobutyrate, 2-methylbutyrate, and/or isovalerate) of 2-methoxycuminol, 6-methoxythymol, and 6-hydroxythymyl methyl ether, as well as methyl 3-methoxycuminate. Their identification was made possible by synthesis efforts, as isolating pure compounds was impracticable because of their low abundance and the overall structural similarity within the highly complex mixture that was the essential oil.
Quantitative Structure–Activity Relationship (QSAR) Modeling of Chiral CCR2 Antagonists with a Multidimensional Space of Novel Chirality Descriptors
Authors: Natarajan Ramanathan , Natarajan Ganapathy S. , Basak Subhash C.
Published: January 2025

The development of chirality descriptors for quantitative chirality structure–activity relationship (QCSAR) modeling has always attracted attention, owing to the importance of chiral molecules in pharmaceutical, agriculture, food, and fragrance industries, and environmental toxicology. The utility of a multidimensional space of novel relative chirality indices (RCIs) in the QCSAR modeling of twenty CCR2 antagonists is reported upon in this paper. The numerical characterization of chirality by the RCI approach gives a large pool of chirality descriptors with different degrees of mutual correlation (the correlation coefficient among the computed descriptors varied from 0.02 to 0.99). In the present study, the final data set contains 198 chirality descriptors for each of the twenty CCR2 antagonist molecules, providing a multidimensional space for modeling. The data reduction using principal component analysis resulted in the extraction of eight principal components (PCs). The linear regression using the principal component scores (PCSs) resulted in a three-predictor prediction model with good statistics: R2 = 0.823; Adj R2 = 0.790. The regression models were rebuilt using the chirality descriptors (RCIs) that are most correlated with each of the scores (PCSs) of the three principal components. The R2 value for the regression models with three RCIs as the predictors is 0.742 and the five-fold cross validation, Rcv2, is 0.839. The new chirality descriptors, namely, the RCIs calculated using a different weighting scheme, provide a multidimensional space of chirality descriptors for a set of chiral molecules, and such a multidimensional chirality space is a powerful tool to build quantitative chiral structure–activity relationship (QCSAR) models.
Investigation on the Hydrate Blockage Avoidance Performance of Two Anti-Agglomerants and Their Mixture with PVP
Authors: Wang Sunan , Chen Litao , Guo Lei , Luo Jiansheng , Ren Liangliang , Xiang Xiong , Geng Tie , Yu Changhong , Meng Zilong
Published: January 2025

The hydrate blockage avoidance performance of two anti-agglomerants (coconut amidopropyl dimethylamine, propylene bis (octadecylamidopropyl dimethylammonium chloride)) and their mixtures with polyvinylpyrrolidone (PVP) was tested in a high-pressure rocking cell apparatus. The effect of gas–liquid ratio, water content and PVP concentration were analyzed. A method for evaluating the kinetic inhibiting and anti-agglomerating performance of hydrate inhibitors was established. It was found that coconut amidopropyl dimethylamine had good anti-agglomerating performance at a low gas–liquid ratio (0.5) and various water content levels (20~80%), while propylene bis (octadecylamidopropyl dimethylammonium chloride) had a good anti-agglomerating performance only at a low gas–liquid ratio (0.5) and high water content (80%), and the hydrate volume fraction was up to 23.27% for good anti-agglomeration. When PVP was mixed with the above two anti-agglomerants, it was found that coconut amidopropyl dimethylamine could significantly reduce the kinetic inhibition performance of PVP, while propylene bis (octadecylamidopropyl dimethylammonium chloride) had no significant effect on the kinetic inhibition performance of PVP. The maximum subcooling was 4.4 °C. PVP had no significant effect on the anti-agglomerating performance of the two anti-agglomerants, and the maximum hydrate volume fraction was 18.87% when the agglomeration was well inhibited.
Examining Sociocultural Influences on Breastfeeding Attitudes Among Syrian and Hungarian Female Students
Authors: Al Kamsheh Manar , Bornemissza Krisztina Antónia , Zimonyi-Bakó Alexandra , Feith Helga Judit
Published: January 2025

Background: Breastfeeding in Syria is a common practice supported by social norms, family traditions, and cultural values. In Hungary, recent statistics show that exclusive breastfeeding is significantly lower than the recommendation of the World Health Organization. Understanding the perspectives of educated young ladies is crucial for discovering the difficulties of breastfeeding practices within Syrian–Hungarian societies. This study explores the sociocultural factors and their impact on breastfeeding behaviours among female students in Syria and Hungary. Methods: A comprehensive, multi-section questionnaire was administered to 317 students from Damascus University and 303 students from Hungarian universities, designed to assess breastfeeding behaviours evaluated through The Breastfeeding Behaviour Questionnaire (BBQ). Results: The results in both societies showed remarkable awareness and understanding among participants regarding breastfeeding. Traditions and culture affect Syrian society more than Hungarian society; the two societies have restricted responses toward breastfeeding in public and different reactions to breastfeeding in front of males or females. Most students disagree with preferring formula feeding to breastfeeding when it is related to the family or the husband’s desire only. At the same time, agreement with choosing the bottle when the mother returns to work instead of exclusively breastfeeding is valued differently in the two societies. Conclusions: This study elucidates the essential the sociocultural factors influencing breastfeeding attitudes among Syrian and Hungarian female students, highlighting the need for culturally suitable strategies to improve breastfeeding practices in both countries.
Relation Between Humor Styles and Psychopathological Symptoms in Healthcare Professionals: A Cross-Sectional Study
Authors: Leñero-Cirujano Miriam , González-Ordi Héctor , Torres-González Juan Ignacio , Gómez-Higuera Jacinto , Piñar-Rodríguez Sergi , López-Bermejo Minaya Elena , Alcalá-Albert Gregorio Jesús , Carmona-Pestaña Álvaro , Moro-Tejedor María Nieves
Published: January 2025

Background/Objectives: Being a healthcare professional often involves exposure to complex situations that can contribute to the development of psychological problems. Evidence suggests that both mental and physical health are crucial for the well-being of these professionals, which in turn influences the quality of care they provide to patients. The main aim of this study was to examine the association between adaptive and maladaptive forms of humor and psychopathological disorders among healthcare workers. Methods: A cross-sectional and descriptive correlational design was employed. The participants consisted of 250 healthcare professionals at a general hospital. Humor styles and the presence of psychological and psychosomatic symptoms were assessed. Data were collected using the Humor Styles Questionnaire (HSQ), the Short Checklist of Symptoms (LSB-50), and sociodemographic information. Spearman correlation analysis and linear regression analysis were conducted. Results: Healthcare professionals were more inclined to use affiliative and self-enhancing humor styles compared to self-defeating and aggressive humor. Affiliative and self-enhancing humor styles were negatively correlated with psychological symptoms, whereas aggressive humor and, to a lesser extent, self-defeating humor styles showed a significantly positive correlation with most psychological symptoms. Regression analysis revealed that positive humor styles negatively predicted all severity indices of the LSB-50. In contrast, negative humor styles, particularly self-defeating humor, positively predicted the severity indices. Being female, working night shifts, and having temporary contracts were positive predictors of most global indices of the LSB-50. Conclusions: This study highlights the importance of considering different types of humor as a potential strategy for improving the mental health of healthcare professionals, as well as the influence of other independent variables related to their personal and work environment. Positive humor styles, specifically affiliative and self-enhancing humor, are associated with a lower prevalence of psychological symptoms among healthcare professionals. Negative humor styles are correlated with a higher prevalence of these symptoms.
Development of Novel Fluticasone/Salmeterol/Tiotropium-Loaded Dry Powder Inhaler and Bioequivalence Assessment to Commercial Products in Rats
Authors: Cho Hyukjun , Lee Hyunji , Hwang Duhyeong
Published: January 2025

Background/Objectives: Inhaler devices have been developed for the effective delivery of inhaled medications used in the treatment of pulmonary diseases. However, differing operating procedures across the devices can lead to user errors and reduce treatment efficacy, especially when patients use multiple devices simultaneously. To address this, we developed a novel dry powder inhaler (DPI), combining fluticasone propionate (FP), salmeterol xinafoate (SX), and tiotropium bromide (TB) into a single device designed for bioequivalent delivery compared to existing commercial products in an animal model. Methods: The micronized FP/SX/TB-loaded capsule was prepared by sieving, blending, and filling capsules. Capsule suitability of the drugs was investigated from the comparison of the stability of drugs within various capsule formulations to that of commercial products. The particle size of the drugs was adjusted using spiral air jet milling, and the ratio of lactose hydrate carriers was optimized by comparing the aerodynamic particle size distribution (APSD) with that of commercial products. To investigate the bioequivalence of micronized FP/SX/TB-loaded DPI to commercial products, the dissolution profile of FP/SX/TB particles and pharmacokinetics in rats were evaluated and compared to commercial products. Results: Capsules with hydroxypropyl methylcellulose (HPMC) without a gelling agent showed superior stability of the drugs compared to commercial products. The deposition pattern was influenced by the particle size of the drugs, and fine particle mass exhibited a significant correlation with the amount of fine carrier. Micronized FP/SX/TB-loaded DPI gave a similar APSD and dissolution profile compared to the commercial products and showed dose uniformity by the DPI device. Furthermore, micronized FP/SX/TB-loaded DPI exhibited bioequivalence to commercial products, as evidenced by no significant differences in pharmacokinetic parameters following intratracheal administration in rats. Conclusions: A novel triple-combination DPI containing FP/SX/TB was successfully developed, demonstrating comparable pharmacological performance to commercial products. Optimized FP/SX/TB-loaded DPI with HPMC capsule achieved bioequivalence in rat studies, suggesting its potential for improved patient compliance and therapeutic outcomes. This novel single-device DPI offers a promising alternative for triple therapy in pulmonary diseases.
Block-Based Mode Decomposition in Few-Mode Fibers
Authors: Wang Chenyu , Zhang Jianyong , Yan Baorui , Mi Shuchao , Fan Guofang , Wang Muguang , Zhang Peiying
Published: January 2025

A block-based mode decomposition (BMD) algorithm is proposed in this paper, which reduces computational complexity and enhances noise resistance. The BMD uses randomly selected sample blocks of the beam images to restore mode coefficients instead of all pixels in the beam images. It allows for blocks of any shape, such as triangles. In noise-free simulations, compared to the spatially degenerated mode decomposition (SPMD) algorithm, the BMD algorithm requires only 1% of the multiplication operations, thereby significantly increasing the computational efficiency while maintaining a high mode decomposition accuracy. In simulations with noise, increasing the signal-to-noise ratio (SNR) reduces decomposition errors across all configurations. The amplitude error of BMD can outperform SPMD by 15 dB. The experimental results show that BMD has a better performance than SPMD.
Deposition Characteristics of Air-Assisted Sprayer Based on Canopy Volume and Leaf Area of Orchard Trees
Authors: Gu Chenchen , Sun Jiahui , Li Si , Yang Shuo , Zou Wei , Zhai Changyuan
Published: January 2025

Precision pesticide application mainly relies on canopy volume, resulting in varied application effectiveness across different density areas of orchard trees. This study examined pesticide application effectiveness based on the spray wind, canopy volume, and leaf area within the canopy, providing variable bases for precise regulation of spray wind and pesticide dosage. The study addresses the knowledge gap by utilizing laser detection and ranging (LiDAR) to measure the thickness and leaf area of orchard tree canopies. The spray experiments were conducted on canopies of different regions, using an air-assisted sprayer with varying fan speeds of 1381 r/min, 1502 r/min, and 1676 r/min. The deposition effects were analyzed using water-sensitive papers. The inlet air speed within the canopy did not increase proportionally when the spray fan speed increased, and it showed a significant variation in locations with sparse foliage. Furthermore, droplets exhibited abnormal median volume diameters of the canopy regions with lower wind loss rates and smaller leaf areas. The influences were in the order of canopy thickness, leaf area, and inlet air speed on the cumulative deposition of droplets on both sides of the water-sensitive papers, as well as the ratio of deposition between the two sides, from big to small, are inlet air speed, leaf area, and canopy thickness. The study provides a scientific foundation for air control in precision pesticide application in apple orchards and contributes to the rapid development of precision spraying technologies.