bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impacts on Regional Development and “Resource Curse” by Energy Substitution Policy: Verification from China
Authors: Xu Xiaoliang , Huang Rong , Cai Han
Published: September 2024

With the increasing “resource curse” phenomena relating to energy resources in China, research concerning energy substitution policies has become more meaningful. In this paper, a dynamic CGE model was built to evaluate the impacts of energy substitution policies on regional growth and the “resource curse”. The results show the following: (1) Compared to other regions, an energy substitution policy exerts a more considerable influence on economic growth in regions with high “resource curse”. (2) The changes in carbon emissions in regions with no or low “resource curse” are modest. The primary factor contributing to the rapid decline might be energy structure adjustments. As the intensity of substitution varies, the regional disparities in marginal emission reduction costs are expected to increase. (3) Energy substitution policies reduce the severity of high “resource curse” regions. As the intensity of energy substitution increases, the extent of “resource curse” regions decreases accordingly. Some suggestions are given as follows: (1) Further promote energy substitution and speed up the transformation of energy production and consumption modes in China. (2) Accelerate the energy transformation in “resource curse” regions to promote regional sustainable development. (3) Improve energy substitution policies in transportation, industry and other fields.
Intelligent Integration of Renewable Energy Resources Review: Generation and Grid Level Opportunities and Challenges
Authors: Ghafoor Aras , Aldahmashi Jamal , Apsley Judith , Djurović Siniša , Ma Xiandong , Benbouzid Mohamed
Published: September 2024

This paper reviews renewable energy integration with the electrical power grid through the use of advanced solutions at the device and system level, using smart operation with better utilisation of design margins and power flow optimisation with machine learning. This paper first highlights the significance of credible temperature measurements for devices with advanced power flow management, particularly the use of advanced fibre optic sensing technology. The potential to expand renewable energy generation capacity, particularly of existing wind farms, by exploiting thermal design margins is then explored. Dynamic and adaptive optimal power flow models are subsequently reviewed for optimisation of resource utilisation and minimisation of operational risks. This paper suggests that system-level automation of these processes could improve power capacity exploitation and network stability economically and environmentally. Further research is needed to achieve these goals.
Long-Term Monitoring and Analysis of Key Driving Factors in Environmental Quality: A Case Study of Fujian Province
Authors: Kong Weiwei , Chang Weipeng , Xie Mingjiang , Li Yi , Wan Tianyong , Nie Xiaoli , Mo Dengkui
Published: September 2024

Ecological environment quality reflects the overall condition and health of the environment. Analyzing the spatiotemporal dynamics and driving factors of ecological environment quality across large regions is crucial for environmental protection and policy-making. This study utilized the Google Earth Engine (GEE) platform to efficiently process large-scale remote sensing data and construct a multi-scale Remote Sensing Ecological Index (RSEI) based on Landsat and Sentinel data. This approach overcomes the limitations of traditional single-scale analyses, enabling a comprehensive assessment of ecological environment quality changes across provincial, municipal, and county levels in Fujian Province. Through the Mann–Kendall mutation test and Sen + Mann–Kendall trend analysis, the study identified significant change points in the RSEI for Fujian Province and revealed the temporal dynamics of ecological quality from 1987 to 2023. Additionally, Moran’s I statistic and Geodetector were employed to explore the spatial correlation and driving factors of ecological quality, with a particular focus on the complex interactions between natural factors. The results indicated that: (1) the integration of Landsat and Sentinel data significantly improved the accuracy of RSEI construction; (2) the RSEI showed a consistent upward trend across different scales, validating the effectiveness of the multi-scale analysis approach; (3) the ecological environment quality in Fujian Province experienced significant changes over the past 37 years, showing a trend of initial decline followed by recovery; (4) Moran’s I analysis demonstrated strong spatial clustering of ecological environment quality in Fujian Province, closely linked to human activities; and (5) the interaction between topography and natural factors had a significant impact on the spatial patterns of RSEI, especially in areas with complex terrain. This study not only provides new insights into the dynamic changes in ecological environment quality in Fujian Province over the past 37 years, but also offers a scientific basis for future environmental restoration and management strategies in coastal areas. By leveraging the efficient data processing capabilities of the GEE platform and constructing multi-scale RSEIs, this study significantly enhances the precision and depth of ecological quality assessment, providing robust technical support for long-term monitoring and policy-making in complex ecosystems.
Afforestation Promotes Soil Organic Carbon and Soil Microbial Residual Carbon Accrual in a Seasonally Flooded Marshland
Authors: Tang Jie , Liu En , Li Yongjin , Tang Yuxi , Tian Ye , Du Shuhui , Li Haoyang , Wan Long , Zhang Qian
Published: September 2024

This study aimed to delve deeper into the alterations in the microbial residual carbon (MRC) accumulation in the Yangtze River’s wetland ecosystems as a consequence of afforestation and to evaluate their impact on soil organic carbon (SOC). The hypothesis posited that afforestation could foster soil aggregation by augmenting arbuscular mycorrhizal fungi (AMF) hyphae and glomalin-related soil protein (GRSP) in deep soil, thereby suppressing the proliferation of genes pivotal to microbial residue decomposition and enhancing MRC accumulation. We collected soil samples at 0–20, 20–40, 40–60, 60–80 and 80–100 cm respectively. Metagenomic sequencing, the quantification of soil amino sugars and MRC, soil aggregate distribution profiling and the measurement of AMF mycelium length density alongside GRSP levels were analyzed. Our findings showed that afforestation notably elevated the concentration of soil amino sugars and the levels of total and fungal MRC, with increases ranging from 53%–80% and 82%–135%, respectively, across the five soil depths examined, in stark contrast to the eroded, non-afforested control. The role of MRC in the SOC was observed to escalate with increasing soil depth, with afforestation markedly amplifying this contribution within the 40–60 cm, 60–80 cm and 80–100 cm soil layers. The study concludes that the SOC content in the deeper soil horizons post-afforestation witnessed a significant rise, paralleled by a substantial increase in both total and fungal MRC, which exhibited a robust positive correlation with the SOC levels. This underscores the pivotal role that amino sugar accumulation from microbial residues plays in the retention of SOC in the deeper soil layers of afforested regions, challenging the conventional wisdom that plant residues are recalcitrant to decomposition within forested SOC matrices.
Investigation of the Relationship between Topographic and Forest Stand Characteristics Using Aerial Laser Scanning and Field Survey Data
Authors: Szász Botond , Heil Bálint , Kovács Gábor , Heilig Dávid , Veperdi Gábor , Mészáros Diána , Illés Gábor , Czimber Kornél
Published: September 2024

The article thoroughly investigates the relationships between terrain features and tree measurements derived from aerial laser scanning (ALS) data and field surveys in a 1067-hectare forested area. A digital elevation model (DEM) was generated from ALS data, which was then used to derive additional layers such as slope, aspect, topographic position index (TPI), and landforms. The authors developed a mathematical procedure to determine the radii for the topographic position index. The canopy height model was created, and individual trees were segmented using a novel voxel aggregation method, allowing for the calculation of tree height and crown size. Accuracy assessments were conducted between ALS-derived data and field-collected data. Terrain variability within each forest unit was evaluated using characteristics such as standard deviation, entropy, and frequency. The relationships between tree height and the derived topographic features within forest subcompartments, as well as the correlation between the height yield map for the entire area and the TPI layer, were analysed. The authors found strong correlation between the topographic position index and tree heights in both cases. The presented remote-sensing-based methodology and the results can be effectively used in digital forest site mapping, complemented by field sampling and laboratory soil analyses, and, as final goal, in carbon stock assessment.
Effect of Exposure to 2D Video of Forest Environment with Natural Forest Sound on Psychological Well-Being of Healthy Young Adults
Authors: Janeczko Emilia , Woźnicka Małgorzata , Kędziora Wojciech , Janeczko Krzysztof , Śmietańska Katarzyna , Podziewski Piotr , Górski Jarosław
Published: September 2024

Background and Objectives: In recent years, there has been a significant increase in interest in the health benefits of contact with nature. The theoretical and practical aspects of this issue are constantly being investigated. It is worth noting, however, that there is a large group of people for whom the only available form of contact with nature can only be through images (the view outside the window, photos and films about nature), recorded sounds of nature or descriptions of nature. Research indicating how much exposure to nature in the dimension of virtual reality achieves improvements in well-being, mood and vitality is therefore urgently needed. Material and Methods: The main goal of the experiment was to examine whether watching a 20-min 2D video of forest environment or reading a textbook on forest knowledge for 20 min would bring any psychological benefits. The order of both exposures was intentionally changed (reversed) for every second participant in this study to reduce the order effect. A group of 16 volunteers, students of Warsaw University of Life Sciences, took part in the experiment. The psychological tests before and after each of the two parts of the experiment (viewing a picture with sound and reading a book) were established using five questionnaires: Profile of Mood State (POMS); Positive and Negative Affect Scale (PANAS); Restorative Outcome Scale (ROS); Subjective Vitality Scale (SVS) and State-Trait Anxiety Inventory (STAI). Results: As a result of the analyses, a 20-min viewing of a 2D video of a forest with natural sounds of nature was shown to have a positive effect on the psychological relaxation of the subjects in the form of an increase in restorativeness and vitality in the participants of the experiment, as well as a greater decrease in negative feelings, tension and anger than when reading a forest-themed book. Watching a video of a landscape can reduce tension and anger levels significantly, which can be an important guideline in relation to the interior design of public spaces and the protection of employees from the adverse effects of psychosocial working conditions, as well as the desire to stabilize anger and maintain emotional stability in everyday life.
Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing
Authors: Silva Sérgio N. , Goldbarg Mateus A. S. de S. , Silva Lucileide M. D. da , Fernandes Marcelo A. C.
Published: September 2024

This paper presents a fuzzy logic-based approach for replica scaling in a Kubernetes environment, focusing on integrating Edge Computing. The proposed FHS (Fuzzy-based Horizontal Scaling) system was compared to the standard Kubernetes scaling mechanism, HPA (Horizontal Pod Autoscaler). The comparison considered resource consumption, the number of replicas used, and adherence to latency Service-Level Agreements (SLAs). The experiments were conducted in an environment simulating Edge Computing infrastructure, with virtual machines used to represent edge nodes and traffic generated via JMeter. The results demonstrate that FHS achieves a reduction in CPU consumption, uses fewer replicas under the same stress conditions, and exhibits more distributed SLA latency violation rates compared to HPA. These results indicate that FHS offers a more efficient and customizable solution for replica scaling in Kubernetes within Edge Computing environments, contributing to both operational efficiency and service quality.
Dietary Supplementation with Nano-Curcumin Improves the Meat Quality and Nutrition Value of Largemouth Bass (Micropterus salmoides) Fed with a High-Carbohydrate Diet
Authors: Wang Yamin , Chen Jing , Zhang Kaipeng , Bao Xiaoxue , Xie Shan , Lin Zhenye , Chen Xiaotong , Yu Yingying
Published: September 2024

This study investigated the effects of curcumin nanoparticles on the flesh quality of largemouth bass on a high-carbohydrate diet. A total of 180 fish (11.01 ± 0.02 g) were fed three semi-purified diets: the Control group (LC) were supplemented with standard carbohydrate (10%), the experimental group (HC) were supplemented with 15% carbohydrate, and the experimental group were supplemented with 0.2% nano-curcumin added to 15% carbohydrate (HCN) for 6 weeks. Results showed that a* value, taurine, valine, isoleucine, histidine, cystine, fatty acids (C17:0 and C20:2n6), MDA (malondialdehyde) content, and SOD (Superoxide dismutase) activity were significantly elevated (p < 0.05) in HC. Muscle fibers showed significant increases in horizontal diameter, longitudinal diameter, and cross-sectional area (p < 0.05), as well as up-regulated expression levels of the MRFS (myogenic regulatory factor) family gene and MSTN (myostatin) (p < 0.05), and a significant decrease in C16:1n7 in HC (p < 0.05). Importantly, the HCN group enhanced the muscle quality of largemouth bass by elevating the L* value, valine, isoleucine, arginine and cystine, C20:2n6, decreasing (p < 0.05) refrigeration loss, chewability, firmness and hardness, then MDA content and SOD activity, and downregulating (p < 0.05) MSTN and MRFS family gene expression levels to improve largemouth bass muscle quality.
Turbulent Micropolar Open-Channel Flow
Authors: Sofiadis George , Liakopoulos Antonios , Palasis Apostolos , Sofos Filippos
Published: September 2024

The present paper focuses on the investigation of the turbulent characteristics of an open-channel flow by employing the micropolar model. The underlying model has already been proven to correctly describe the secondary phase of turbulent wall-bounded flows. The open-channel case comprises an ideal candidate to further test the micropolar model as many environmental flows carry a secondary phase, the behavior of which is of great interest for applications such as sedimentation transport and debris flow. Direct Numerical Simulations (DNSs) have been carried out on an open channel for Reb = 11,200 based on mean crossectional velocity, channel height, and the fluid kinematic viscosity. The simulated results are compared against previous experimental as well as Langrangian DNS data of similar flows, with excellent agreement. The micropolar model is capable of describing the same problem but in an Eulerian frame, thus significantly simplifying the computational cost and complexity.
Bioactive Polysaccharides from Gracilaria lemaneiformis: Preparation, Structures, and Therapeutic Insights
Authors: Wang Min , Zhu Zhen , Wu Xiaocheng , Cheong Kitleong , Li Xiaohua , Yu Wanli , Yao Yinlin , Wu Jiang , Cao Zhanhui
Published: September 2024

Gracilaria lamaneiformis, a red seaweed, is an abundant source of bioactive polysaccharides with significant health-promoting properties. Nevertheless, the broad application of G. lamaneiformis in the nutraceutical and pharmaceutical sectors remains constrained due to the absence of comprehensive data. This review provides a detailed examination of the preparation methods, structural characteristics, and biological activities of G. lamaneiformis polysaccharides (GLPs). We explore both conventional and advanced extraction techniques, highlighting the efficiency and yield improvements achieved through methods such as microwave-, ultrasonic-, and enzyme-assisted extraction. The structural elucidation of GLPs using modern analytical techniques, including high-performance liquid chromatography, gas chromatography, and nuclear magnetic resonance spectroscopy, is discussed, providing comprehensive insights into their molecular composition and configuration. Furthermore, we critically evaluate the diverse biological activities of GLPs, including their antioxidant, anti-inflammatory, antitumor, and gut microbiota modulation properties. This review underscores the therapeutic potential of GLPs and suggests future research directions to fully harness their health benefits.
Transcriptomic Analyses to Unravel Cronobacter sakazakii Resistance Pathways
Authors: Liu Shiyu , Song Danliangmin , Liu Biqi , Dong Kai , Jiang Yujun , Man Chaoxin , Yang Xinyan , Zhao Feng
Published: September 2024

The proliferation of antibiotic usage has precipitated the emergence of drug-resistant variants of bacteria, thereby augmenting their capacity to withstand pharmaceutical interventions. Among these variants, Cronobacter sakazakii (C. sakazakii), prevalent in powdered infant formula (PIF), poses a grave threat to the well-being of infants. Presently, global contamination by C. sakazakii is being observed. Consequently, research endeavors have been initiated to explore the strain’s drug resistance capabilities, alterations in virulence levels, and resistance mechanisms. The primary objective of this study is to investigate the resistance mechanisms and virulence levels of C. sakazakii induced by five distinct antibiotics, while concurrently conducting transcriptomic analyses. Compared to the susceptible strains prior to induction, the drug-resistant strains exhibited differential gene expression, resulting in modifications in the activity of relevant enzymes and biofilm secretion. Transcriptomic studies have shown that the expression of glutathione S-transferase and other genes were significantly upregulated after induction, leading to a notable enhancement in biofilm formation ability, alongside the existence of antibiotic resistance mechanisms associated with efflux pumps, cationic antimicrobial peptides, and biofilm formation pathways. These alterations significantly influence the strain’s resistance profile.
Mushroom By-Products as a Source of Growth Stimulation and Biochemical Composition Added-Value of Pleurotus ostreatus, Cyclocybe cylindracea, and Lentinula edodes
Authors: Carminati Gaia , Di Foggia Michele , Garagozzo Luca , Di Francesco Alessandra
Published: September 2024

Spent mushroom substrates (SMSs) and mushroom basal bodies (MBBs) are significant by-products because of their nutrient content even after harvesting. This study aimed to evaluate the effect of these two by-products, derived from Agaricus bisporus (Ab) and Cyclocybe cylindracea (Cc) cultivation, as potential growth and biochemical composition add-value enhancers of edible mushroom mycelia such as Pleurotus ostreatus, C. cylindracea, and Lentinula edodes. Fungal growth substrates enriched with SMS and MBB extracts significantly affected the growth of mushroom mycelia. In particular, on P. ostreatus, the MBBs Ab and Cc extracts determined an increase in mycelial weight by 89.5%. Also, by-products influenced mushrooms’ mycelial texture, which appeared more floccose and abundant in growth. FT-IR analysis showed that L. edodes mycelium, grown on MBB substrates, showed the highest increase in bands associated with proteins and chitin. Results demonstrated that mushroom by-products enhance mycelial growth and confer an enrichment of compounds that could increase mycelial resistance to pathogens and make a nutraceutical improvement.
Qualitative and Quantitative Analyses of Sialyl O-Glycans in Milk-Derived Sialylglycopeptide Concentrate
Authors: Higuchi Junichi , Kurogochi Masaki , Yamaguchi Toshiyuki , Fujio Noriki , Mitsuduka Sho , Ishida Yuko , Fukudome Hirofumi , Nonoyama Noriko , Gota Masayuki , Mizuno Mamoru , Sakai Fumihiko
Published: September 2024

Sialyl glycans have several biological functions. We have previously reported on the preparation and bifidogenic activity of milk-derived sialylglycopeptide (MSGP) concentrate containing sialyl O-glycans. The current study qualitatively and quantitatively analyzed the sialyl O-glycans present in the MSGP concentrate. Notably, our quantitative analysis indicated that a majority of O-glycopeptides in the MSGP concentrate were derived from glycomacropeptides. The concentrate was found to contain mainly three types of sialyl core 1 O-glycans, with the disialyl core 1 O-glycan being the most abundant. We successfully quantified three types of sialyl core 1 O-glycans using a meticulous method that used homogeneous O-glycopeptides as calibration standards. Our results provide valuable insights into assessment strategies for the quality control of O-glycans in dietary products and underscore the potential applications of MSGP concentrate in the food industry and other industries.
Investigation of the Lipid-Lowering Activity and Mechanism of Three Extracts from Astragalus membranaceus, Hippophae rhamnoides L., and Taraxacum mongolicum Hand. Mazz Based on Network Pharmacology and In Vitro and In Vivo Experiments
Authors: Yang Xue , Jia Mingjie , Luo Jiayuan , An Yuning , Chen Zefu , Bao Yihong
Published: September 2024

Hyperlipidemia is a metabolic disorder characterized by abnormal lipid metabolism, resulting in lipid accumulation in the plasma. According to reports, medicinal and edible plants can reduce the risk of metabolic diseases such as hyperlipidemia. This study investigates the effects and mechanisms of Astragalus membranaceus extract (AME), Hippophae rhamnoides L. extract (HRE), and Taraxacum mongolicum Hand. Mazz extract (TME) on hyperlipidemia. Active compounds and potential gene targets of AME, HRE, and TME were screened using LC-MS and TCMSP databases, and hyperlipidemia targets were detected from the OMIM and DisGeNet databases. A drug-target pathway disease network was constructed through protein interactions, GO enrichment, and KEGG pathway analysis. Finally, the lipid-lowering effects of three extracts were validated through in vitro HepG2 cell and in vivo animal experiments. The results show that LC-MS and network pharmacology methodologies identified 41 compounds and 140 targets. KEGG analysis indicated that the PI3K-Akt and MAPK signaling pathways significantly treat hyperlipidemia with AHT. In vitro experiments have shown that AHT is composed of a ratio of AME:HRE:TME = 3:1:2. HepG2 cell and animal experiments revealed that AHT exhibits strong lipid-lowering and antioxidant properties, significantly regulating the levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), superoxide dismutase (SOD), and total antioxidant capacity (T-AOC). It is worth noting that AHT can effectively downregulate the protein expression levels of p-AKT/AKT and p-PI3K/PI3K and upregulate the protein expression levels of p-AMPK/AMPK and SIRT1, verifying the results predicted by network pharmacology. This study presents a novel approach to utilizing these natural plant extracts as safe and effective treatments for hyperlipidemia.
Inverse Scattering Integrability and Fractional Soliton Solutions of a Variable-Coefficient Fractional-Order KdV-Type Equation
Authors: Zhang Sheng , Li Hongwei , Xu Bo
Published: September 2024

In the field of nonlinear mathematical physics, Ablowitz et al.’s algorithm has recently made significant progress in the inverse scattering transform (IST) of fractional-order nonlinear evolution equations (fNLEEs). However, the solved fNLEEs are all constant-coefficient models. In this study, we establish a fractional-order KdV (fKdV)-type equation with variable coefficients and show that the IST is capable of solving the variable-coefficient fKdV (vcfKdV)-type equation. Firstly, according to Ablowitz et al.’s fractional-order algorithm and the anomalous dispersion relation, we derive the vcfKdV-type equation contained in a new class of integrable fNLEEs, which can be used to describe the dispersion transport in fractal media. Secondly, we reconstruct the potential function based on the time-dependent scattering data, and rewrite the explicit form of the vcfKdV-type equation using the completeness of eigenfunctions. Thirdly, under the assumption of reflectionless potential, we obtain an explicit expression for the fractional n-soliton solution of the vcfKdV-type equation. Finally, as specific examples, we study the spatial structures of the obtained fractional one- and two-soliton solutions. We find that the fractional soliton solutions and their linear, X-shaped, parabolic, sine/cosine, and semi-sine/semi-cosine trajectories formed on the coordinate plane have power–law dependence on discrete spectral parameters and are also affected by variable coefficients, which may have research value for the related hyperdispersion transport in fractional-order nonlinear media.
pH-Sensitive Fluorescent Probe in Nanogel Particles as Theragnostic Agent for Imaging and Elimination of Latent Bacterial Cells Residing Inside Macrophages
Authors: Zlotnikov Igor D. , Ezhov Alexander A. , Belogurova Natalya G. , Kudryashova Elena V.
Published: September 2024

Rhodamine 6G (R6G) and 4-nitro-2,1,3-benzoxadiazole (NBD) linked through a spacer molecule spermidine (spd), R6G-spd-NBD, produces a fluorescent probe with pH-sensitive FRET (Förster (fluorescence) resonance energy transfer) effect that can be useful in a variety of diagnostic applications. Specifically, cancer cells can be spotted due to a local decrease in pH (Warburg effect). In this research, we applied this approach to intracellular infectious diseases—namely, leishmaniasis, brucellosis, and tuberculosis, difficult to treat because of their localization inside macrophages. R6G-spd-NBD offers an opportunity to detect such bacteria and potentially deliver therapeutic targets to treat them. The nanogel formulation of the R6G-spd-NBD probe (nanoparticles based on chitosan or heparin grafted with lipoic acid residues, Chit-LA and Hep-LA) was obtained to improve the pH sensitivity in the desired pH range (5.5–7.5), providing selective visualization and targeting of bacterial cells, thereby enhancing the capabilities of CLSM (confocal laser scanning microscopy) imaging. According to AFM (atomic force microscopy) data, nanogel particles containing R6G-spd-NBD of compact structure and spherical shape are formed, with a diameter of 70–100 nm. The nanogel formulation of the R6G-spd-NBD further improves absorption and penetration into bacteria, including those located inside macrophages. Due to the negative charge of the bacteria surface, the absorption of positively charged R6G-spd-NBD, and even more so in the chitosan derivatives’ nanogel particles, is pronounced. Additionally, with a pH-sensitive R6G-spd-NBD fluorescent probe, the macrophages’ lysosomes can be easily distinguished due to their acidic pH environment. CLSM was used to visualize samples of macrophage cells containing absorbed bacteria. The created nanoparticles showed a significant selectivity to model E. coli vs. Lactobacillus bacterial cells, and the R6G-spd-NBD agent, being a mild bactericide, cleared over 50% E.coli in conditions where Lactobacillus remained almost unaffected. Taken together, our data indicate that R6G-spd-NBD, as well as similar compounds, can have value not only for diagnostic, but also for theranostic applications.
Brown Adipose Stem Cell-Loaded Resilin Elastic Hydrogel Rebuilds Cardiac Function after Myocardial Infarction via Collagen I/III Reorganisation
Authors: Zhao Le , Liu Huaying , Gao Rui , Zhang Kaihui , Gong Yuxuan , Cui Yaya , Ke Shen , Wang Jing , Wang Haibin
Published: September 2024

Irreversible fibrosis following myocardial infarction (MI) stiffens the infarcted myocardium, which remains challenging to restore. This study aimed to investigate whether the injectable RLP12 hydrogel, derived from recombinant resilin protein, could serve as a vehicle for stem cells to enhance the function of the infarcted myocardium. The RLP12 hydrogel was prepared and injected into the myocardium of rats with MI, and brown adipose-derived mesenchymal stem cells (BADSCs) were loaded. The survival and differentiation of BADSCs in vivo were investigated using immunofluorescence one week and four weeks after treatment, respectively. The heart function, MI area, collagen deposition, and microvessel density were further assessed four weeks after treatment through echocardiography, histology, immunohistochemistry, and immunofluorescence. The RLP12 hydrogel was prepared with a shear modulus of 10–15 kPa. Four weeks after transplantation, the RLP12 hydrogel significantly improved cardiac function by increasing microvessel density and reducing infarct area size and collagen deposition in MI rats. Furthermore, the distribution ratio of collagen III to I increased in both the centre and edge areas of the MI, indicating the improved compliance of the infarct heart. Moreover, the RLP12 hydrogel also promoted the survival and differentiation of BADSCs into cardiac troponin T- and α-smooth muscle-positive cells. The RLP12 hydrogel can be utilised as an injectable vehicle of BADSCs for treating MI and regulating collagen I and III expression profiles to improve the mechanical microenvironment of the infarct site, thereby restoring heart function. The study provides novel insights into the mechanical interactions between the hydrogel and the infarct microenvironment.
Fine-Scale Haplotype Mapping Reveals an Association of the FTO Gene with Osteoporosis and Fracture Risk in Postmenopausal Women
Authors: Greere Daniela , Haydar Sara , Grigorescu Florin , Manda Dana , Voicu Gabriela , Lautier Corinne , Poiana Catalina
Published: September 2024

Introduction. The Fat Mass and Obesity-Associated (FTO) gene encodes a demethylase, which modulates RNA N6-methyladenosine (m6A) and plays a regulatory role in adipocyte differentiation and the pathogenesis of human obesity. Methods. To understand the potential role of FTO in osteoporosis (OP), we investigated five single nucleotide variations (SNVs) in intron 1 (rs8057044, rs8050136, rs9939609, rs62033406, and rs9930506) of the FTO gene, and a missense SNV i.e., rs3736228 (A1330V), located in exon 18 of the LRP5 gene, in a cohort of postmenopausal women (n = 188) from Central Europe. Genotyping was performed with an allele discrimination assay, while haplotypes were reconstructed in the population by PHASE 2.1. Results. The rs9930506 was strongly associated with OP (p < 0.0035), which was supported by Bonferroni correction (p < 0.0175), and all SNVs located in the FTO gene were more strongly associated with severe OP with fragility fractures. Among seventeen haplotypes detected for the FTO gene, two haplotypes (H1 and H9) were frequent (frequency > 10%) and distributed in three main haplotypes pairs (H1/H1, H1/H9 and H9/H9, respectively). The pathogenic pair H1/H9 was associated with a leaner phenotype, increased fracture risk, and a lower bone mineral density (BMD), and carried the heterozygous GA of rs9930506, while the protective pair H9/H9 was associated with an increased obesity risk and carried AA alleles of rs9939609. Conclusions. Concordant associations with OP, an increased fracture risk, and a lower BMD at all skeletal sites indicate that the FTO gene is a promising candidate for OP, explaining the complex relationship with obesity and offering new perspectives for the study of the epigenetic regulation of bone metabolism.
Uncovering a Genetic Diagnosis in a Pediatric Patient by Whole Exome Sequencing: A Modeling Investigation in Wiedemann–Steiner Syndrome
Authors: di Bari Ighli , Ceccarini Caterina , Curcetti Maria , Cesarano Carla , Croce Anna-Irma , Adipietro Iolanda , Gallicchio Maria Grazia , Palladino Grazia Pia , Patrizio Maria Pia , Frisoli Benedetta , Santacroce Rosa , D’Apolito Maria , D’Andrea Giovanna , Castriota Ombretta Michela , Pierri Ciro Leonardo , Margaglione Maurizio
Published: September 2024

Background: Wiedemann–Steiner syndrome (WSS), a rare autosomal-dominant disorder caused by haploinsufficiency of the KMT2A gene product, is part of a group of disorders called chromatinopathies. Chromatinopathies are neurodevelopmental disorders caused by mutations affecting the proteins responsible for chromatin remodeling and transcriptional regulation. The resulting gene expression dysregulation mediates the onset of a series of clinical features such as developmental delay, intellectual disability, facial dysmorphism, and behavioral disorders. Aim of the Study: The aim of this study was to investigate a 10-year-old girl who presented with clinical features suggestive of WSS. Methods: Clinical and genetic investigations were performed. Whole exome sequencing (WES) was used for genetic testing, performed using Illumina technology. The bidirectional capillary Sanger resequencing technique was used in accordance with standard methodology to validate a mutation discovered by WES in all family members who were available. Utilizing computational protein modeling for structural and functional studies as well as in silico pathogenicity prediction models, the effect of the mutation was examined. Results: WES identified a de novo heterozygous missense variant in the KMT2A gene KMT2A(NM_001197104.2): c.3451C>G, p.(Arg1151Gly), absent in the gnomAD database. The variant was classified as Likely Pathogenetic (LP) according to the ACMG criteria and was predicted to affect the CXXC-type zinc finger domain functionality of the protein. Modeling of the resulting protein structure suggested that this variant changes the protein flexibility due to a variation in the Gibbs free energy and in the vibrational entropy energy difference between the wild-type and mutated domain, resulting in an alteration of the DNA binding affinity. Conclusions: A novel and de novo mutation discovered by the NGS approach, enhancing the mutation spectrum in the KMT2A gene, was characterized and associated with WSS. This novel KMT2A gene variant is suggested to modify the CXXC-type zinc finger domain functionality by affecting protein flexibility and DNA binding.
Virtual Mineralogical Museums and Mineral Websites as Learning Agents: Analysis of How Minerals Are Represented
Authors: Calvo Guiomar , Lucha Pedro
Published: September 2024

Virtual mineralogical museums can help visitors construct and enhance their personal scientific mineral models through the information they incorporate. For this to be possible, they must contain a series of key aspects related to minerals’ properties (chemical and physical), use and origin, and the relationships between them. In this study, 38 sites are analyzed, their main characteristics identified, and their educational value assessed, to verify whether all the key aspects considered for the construction of an appropriate and complete mineral model are present. Photographs and mineral files predominate over 3D models and 3D tours. In many of the sites aimed at university students or geoscience experts, there are abundant data about mineral properties, but not in those aimed at a broad public audience. Data about the uses and relationship between uses, extraction, and mineral properties are seldom included. Even if connectivity is very high in all the sites, there are no elements that can be used to test if there has been a knowledge gain after visiting them. The results show that there is still a lot of information missing for this type of resources to be truly helpful for the general population and, specifically, for educational uses.
Geological and Structural Framework, Inventory, and Quantitative Assessment of Geodiversity: The Case Study of the Lake Faro and Lake Ganzirri Global Geosites (Italy)
Authors: Somma Roberta , Spoto Sebastiano Ettore , Giacobbe Salvatore
Published: September 2024

The geoconservation policies assumed by the Sicilian Region (Italy) induced to classify as geosites all the geodiversity preserved in the Sicilian natural reserves. In particular, two of these geosites present in the oriented natural reserve of the coastal lagoon of Cape Peloro (Messina, NE Sicily, Italy), denoted “Morpho–tectonic system of Cape Peloro–Lake Faro” and “Morpho–tectonic system of Cape Peloro–Lake Ganzirri”, were considered Global areal geosites on the base of their tectonic origin. Lacking an official scientific report of these sites, the present research was aimed to investigate the lagoon, in order to provide the (i) geological and structural framework, (ii) inventory, and (iii) quantitative assessment of geodiversity. The study geosites resulted to be originated during the post–Wurmian sea–level rise and the strong extensional tectonics affecting the Calabria–Peloritani Arc still active. Indeed, the lagoon depression hosting the Lakes Faro and Ganzirri, developed on low-relief coasts because of different systems of capable faults, NW–SE oriented in the Lake Faro and ENE–WSW oriented in the Lake Ganzirri. The quantitative assessment of geodiversity indicated high scores for the scientific value and the potential educational and touristic uses. On the basis of these results, it was possible to confirm the attribution of Lake Faro’s and Lake Ganzirri’s geodiversity to Global areal geosites, being the study morpho-structures key localities, providing indicators of representativeness, geological diversity, and rarity that ought to be protected as clear and unequivocal examples of the Earth’s geological history and evolution of the Quaternary tectonic coastal lagoons. Actual criticisms that could irreversibly affect the environmental equilibria have been evidenced. Possible actions for the redevelopment of the oriented natural reserve of the coastal lagoon of Cape Peloro and the extension of the geosites were also described.
Enablers of and Barriers to Perinatal Mental Healthcare Access and Healthcare Provision for Refugee and Asylum-Seeking Women in the WHO European Region: A Scoping Review
Authors: Markey Kathleen , Moloney Mairead , O’Donnell Catherine A. , Noonan Maria , O’Donnell Claire , Tuohy Teresa , MacFarlane Anne , Huschke Susann , Mohamed Ahmed Hassan , Doody Owen
Published: September 2024

Perinatal mental health is a growing public health concern. Refugee and asylum-seeking women are particularly susceptible to experiencing perinatal mental illness and may encounter a range of challenges in accessing healthcare. This scoping review sought to identify the enablers of and barriers to healthcare access and healthcare provision for refugee and asylum-seeking women experiencing perinatal mental illness in the WHO European Region. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews was applied. Nine databases and six grey literature sources were initially searched in April 2022, and an updated search was completed in July 2023. The search identified 16,130 records, and after the removal of duplicates and the screening process, 18 sources of evidence were included in this review. A data extraction table was used to extract significant information from each individual source of evidence, which was then mapped to the seven dimensions of the candidacy framework. Empirical (n = 14; 77.8%) and non-empirical (n = 4; 22.2%) sources of evidence were included. The literature originated from seven countries within the WHO European Region, including the United Kingdom (n = 9; 50%), Germany (n = 3; 16.7%), Denmark (n = 2; 11.2%), Norway (n = 1; 5.6%), Greece (n = 1; 5.6%), Sweden (n = 1; 5.6%), and Switzerland (n = 1; 5.6%). The results indicate that, although enablers and barriers were apparent throughout the seven dimensions of candidacy, barriers and impeding factors were more frequently reported. There was also a notable overall lack of reported enablers at the system level. Unaddressed language barriers and lack of attention to the diversity in culturally informed perceptions of perinatal mental illness were the main barriers at the individual level (micro-level) to identifying candidacy, navigating healthcare systems, and asserting the need for care. The lack of culturally appropriate alignment of healthcare services was the key organizational (meso-level) barrier identified. The wider structural and political contexts (macro-level factors), such as lack of funding for consultation time, focus on Western diagnostic and management criteria, and lack of services that adequately respond to the needs of refugee and asylum-seeking women, negatively influenced the operating conditions and wider production of candidacy. It can be concluded that there are multilevel and interconnected complexities influencing access to and provision of perinatal mental healthcare for refugee and asylum-seeking women.
Psychometric Properties of the Turkish Version of the Rating Scale of Pain Expression during Childbirth Scale (ESVADOPA-TR)
Authors: Avcıbay-Vurgeç Burcu , Navarro-Prado Silvia , Gökyıldız-Sürücü Sule , Dursun Muhsin , Sánchez-Ojeda María Angustias
Published: September 2024

Background: Evaluation of a specific and dynamic pain, such as labor pain, with a situation-specific measurement tool will increase the quality of care given during childbirth. The Rating Scale of Pain Expression during Childbirth (ESVADOPA) is a situation-specific measurement tool for labor pain. The aim was to examine the psychometric properties of a Turkish version of the ESVADOPA scale. Methods: This study utilized a methodological design. Participants were 158 pregnant women at term and in spontaneous labor. Two measurements were performed during the passive and active phases of labor. To avoid bias between the raters, all the evaluations were performed by a single midwife. Validity analyses of the scale were performed using exploratory factor analysis and confirmatory factor analysis. Results: The scale was composed of a one-factor structure that had an eigenvalue of over 1 and explained 71.79% of the variance. Cronbach’s alpha internal consistency coefficient of the scale is 0.92. An analysis of the factor structure showed that the item factor loads ranged between 0.729 and 0.897. In the confirmatory factor analysis, the results showed that the data had a good fit with the model. Conclusions: The Turkish version of the ESVADOPA was found to have high reliability and validity for determining the expression of pain during childbirth.
Development and Validation of the “Program to Promote Positive Nursing Practice Environments”: Modified Delphi Study
Authors: Pereira Soraia , Fassarella Cintia , Ribeiro Olga
Published: September 2024

Positive nursing practice environments benefit clients, professionals, and institutions, specifically for professionals, by improving professional visibility, recognition, retention intentions, well-being, commitment, job satisfaction, and reducing stress and burnout. Clients experience better quality care, safety, satisfaction, engagement, and fewer care omissions. Institutions favored reduced absenteeism and turnover, improved efficiency, lower costs, and better health outcomes. This study aimed to document the development of the “Program to Promote Positive Nursing Practice Environments” and analyze expert perceptions to reach a consensus. Using a two-round modified online Delphi technique with 22 experts, we examined perspectives on the program’s goals, duration, organization, and content. Initial feedback showed agreement on the program’s duration but mixed opinions on the number and length of sessions due to concerns about participant workload and fatigue. Adjustments led to a strong consensus and positive feedback on the program’s coverage of essential nursing practice environment constructs. The program includes sessions on client, professional, and institutional dynamics, focusing on key attributes and outcomes for fostering positive nursing environments. By equipping nurses with knowledge and skills, the program aims to enhance work environments effectively. These findings provide a substantial advancement in the field, offering a robust framework for future initiatives.
Enhancing Emergency Department Management: A Data-Driven Approach to Detect and Predict Surge Persistence
Authors: Lim Kang Heng , Nguyen Francis Ngoc Hoang Long , Cheong Ronald Wen Li , Tan Xaver Ghim Yong , Pasupathy Yogeswary , Toh Ser Chye , Ong Marcus Eng Hock , Lam Sean Shao Wei
Published: September 2024

The prediction of patient attendance in emergency departments (ED) is crucial for effective healthcare planning and resource allocation. This paper proposes an early warning system that can detect emerging trends in ED attendance, offering timely alerts for proactive operational planning. Over 13 years of historical ED attendance data (from January 2010 till December 2022) with 1,700,887 data points were used to develop and validate: (1) a Seasonal Autoregressive Integrated Moving Average with eXogenous factors (SARIMAX) forecasting model; (2) an Exponentially Weighted Moving Average (EWMA) surge prediction model, and (3) a trend persistence prediction model. Drift detection was achieved with the EWMA control chart, and the slopes of a kernel-regressed ED attendance curve were used to train various machine learning (ML) models to predict trend persistence. The EWMA control chart effectively detected significant COVID-19 events in Singapore. The surge prediction model generated preemptive signals on changes in the trends of ED attendance over the COVID-19 pandemic period from January 2020 until December 2022. The persistence of novel trends was further estimated using the trend persistence model, with a mean absolute error of 7.54 (95% CI: 6.77–8.79) days. This study advanced emergency healthcare management by introducing a proactive surge detection framework, which is vital for bolstering the preparedness and agility of emergency departments amid unforeseen health crises.
Internet-Based Prevention of Re-Victimization for Youth with Care Experience (EMPOWER-YOUTH): Results of a Randomized Controlled Trial
Authors: Wagner Birgit , Emmerich Olivia Lucia Marie , van Noort Betteke Maria
Published: September 2024

Traumatic experiences and maltreatment are highly prevalent among adolescents in foster or institutional care and have severe long-term effects on mental health. Childhood maltreatment increases the risk of revictimization. This study aimed to evaluate the efficacy of the internet-based prevention program EMPOWER YOUTH in reducing victimization experiences among youth with care experience. A total of 163 youth, that is, adolescents in foster or institutional care, adopted adolescents, or young care leavers aged 14 to 21 years (Mage = 17.68 years; SD = 2.11) were randomized to the six-module guided program or a wait-list control group. The primary endpoint was the decrease in victimization experiences at an 18-week follow-up. Secondary endpoints included risk perception, aggressive tendencies, empathy, prosocial behavior, depressiveness, post-traumatic stress symptoms, and loneliness. About half of the youth exhibited increased psychopathology. No significant interaction between time-point and group was found for victimization measures, though both groups saw a significant reduction over time (p = 0.012, ηp2 = 0.06; p = 0.017, ηp2 = 0.06). The intervention group showed a significant increase in perception of thrill-seeking and rebellious risks (p = 0.036, ηp2 = 0.04; p = 0.026, ηp2 = 0.05). While EMPOWER YOUTH effectively increased risk perception of thrill-seeking and rebellious behaviors, it should be considered an add-on to more intensive interventions for common mental health disorders in this vulnerable group, rather than a stand-alone online program.