bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Organic Vegetable Mixed Juice on Blood Circulation and Intestine Flora: Randomized, Double-Blinded, Placebo-Controlled Clinical Trial
Authors: Lee Yun-Ha , Lee Jae-Ho , Jeon Soo-Min , Park Il-Kyu , Jang Hyun-Bin , Kim Soo-A , Park Soo-Dong , Shim Jae-Jung , Hong Seong-Soo , Lee Jae-Hwan
Published: September 2024

Epidemiological evidence suggests that fruit and vegetable intake significantly positively affects cardiovascular health. Since vegetable juice is more accessible than raw vegetables, it attracts attention as a health functional food for circulatory diseases. Therefore, this study measured blood lipids, antioxidants, blood circulation indicators, and changes in the microbiome to confirm the effect of organic vegetable mixed juice (OVJ) on improving blood circulation. This 4-week, randomized, double-blinded, placebo-controlled study involved adult men and women with borderline total cholesterol (TC) and low-density lipoprotein (LDL) levels. As a result, blood lipid profile indicators, such as TC, triglycerides, LDL cholesterol, and apolipoprotein B, decreased (p < 0.05) in the OVJ group compared with those in the placebo group. Additionally, the antioxidant biomarker superoxide dismutase increased (p < 0.05). In contrast, systolic and diastolic blood viscosities, as blood circulation-related biomarkers, decreased (p < 0.05) in the OVJ group compared with those in the placebo group. After the intervention, a fecal microbiome analysis confirmed differences due to changes in the intestinal microbiome composition between the OVJ and placebo groups. In conclusion, our research results confirmed that consuming OVJ improves blood circulation by affecting the blood lipid profile, antioxidant enzymes, and microbiome changes.
Effect of a Novel Ergonomic Sheath on Dental Device-Related Muscle Work, Fatigue and Comfort—A Pilot Clinical Study
Authors: Dang Steven , Wink Cherie , Yang Susan Meishan , Lin Kairong , Takesh Thair , Habib Ali A. , Wilder-Smith Petra
Published: September 2024

Background: Dental instrumentation with hand-held devices is associated with discomfort, fatigue and musculoskeletal diseases or repetitive stress injuries. The goal of this in vivo study was to determine the effect of an ergonomic handle sheath on muscle work, comfort and fatigue associated with (a) piezoelectric scaling by hygienists with and without musculoskeletal disorders (MSDs), and (b) dental cavity preparation by healthy dentists using a dental micromotor. Materials and Methods: Two groups of ten hygienists each tested the piezoelectric scaler. Hygienists in Group 1 had no MSDs, while those in Group 2 had been diagnosed with MSDs. Additionally, ten dentists with no MSDs used a dental micromotor to prepare four standardized cavities. Time-based work in four muscles, comfort and fatigue were recorded in the presence and absence of an add-on soft, insulating handle sheath. Data were analyzed using a repeated measures analysis of variance model with Tukey’s post-hoc test. Results: Comfort, fatigue and muscle work were significantly better for both devices when the sheath was used. While hygienists with MSDs used more muscle work to complete the set scaling task, and the sheath-related reduction in work was somewhat greater, these MSD-related differences did not quite reach significance. Conclusions: The results of this pilot study show that the ergonomic performance of an ultrasonic scaler and a dental micromotor may be improved by the use of an ergonomic handle sheath.
The Analysis of Trigger Factors of the Environmental Entrepreneurship Process in Saudi Arabia: An Innovative Approach
Authors: Ragmoun Wided
Published: September 2024

Environmental entrepreneurship is considered a critical avenue for sustainable development. Despite increasing studies on its benefits and impacts, we lack insights about its corresponding process. There is an increasing need for policymakers to know how to develop this process and what is required for its definition. This research aims to build an innovative theoretical model to explore the trigger factors for the environmental entrepreneurship process in Saudi Arabia, which is the ultimate focus point of this research. To achieve this objective, a deep literature review and a survey of expert entrepreneurs’ opinions were performed. Experts and professionals in entrepreneurship validated the opportunity of readiness factors identified. Data were gathered using a combined approach based on closed-ended questionnaires and arranged interviews according to a schedule. Employing the mixed influence matrix of cross-impact multiplications applied to classification (MICMAC) and the Interpretive Structural Modeling (ISM) approach, the research identifies a hierarchical model of these factors, addressing why and how they interact according to a specific order and priorities. The investigation reveals 15 factors that are structured into three main levels of influence: (1) factors driving the adoption of environmental entrepreneurship orientation, (2) factors related to environmental entrepreneurship intention, and (3) factors for materializing environmental entrepreneurship behavior. The findings emphasize the complementarity between environmental entrepreneurship intention and orientation as a key factor in generating entrepreneurial behavior. This research pioneers the empirical exploration of environmental entrepreneurship as a process. It contributes significantly to theoretical and practical domains by offering a pragmatic framework and better understanding for policymakers and stakeholders to focus on key factors that facilitate this process. This paper is innovative because it uses the integrative ISM–MICMAC approach, supported by a primary and brief bibliometric analysis of entrepreneurship.
Empowering Diverse Learners: Integrating Writing-to-Learn Strategies in a Middle School Science Classroom in the U.S.
Authors: Kim So Lim , Kim Deoksoon
Published: September 2024

Science education has shifted towards emphasizing science literacy rather than simply memorizing facts. Studies have shown that incorporating writing in science education engages students in higher-order thinking, fosters critical reasoning skills, and deepens subject matter comprehension. However, writing can be particularly challenging for CLD (culturally and linguistically diverse) students due to content-specific vocabulary and distinctive grammatical patterns. This case study explores six CLD students’ experiences with writing in a seventh-grade science classroom in the northeastern United States that used invention-based learning (IBL). By incorporating hands-on invention processes, IBL facilitates problem-solving and student-centered learning. The study shows how a writing-to-learn approach in science education can simultaneously support CLD students in developing a scientific understanding of abstract concepts and address the need for science literacy skills. The implications of this study suggest that teachers should integrate writing-to-learn strategies into their science instruction to promote deeper understanding and improve science literacy. By supporting students through productive struggles with writing and providing opportunities to practice scientific language, teachers can help students develop critical thinking skills and better comprehension of scientific concepts. In addition, by connecting hands-on experiences with writing tasks, educators can make science more accessible and engaging for students, particularly those from diverse linguistic and cultural backgrounds.
Enhancing Root Water Uptake and Mitigating Salinity through Ecological Water Conveyance: A Study of Tamarix ramosissima Ledeb. Using Hydrus-1D Modeling
Authors: Jiang Lei , Guo Shuai , He Liang , Zhang Shengshuai , Sun Ziyong , Wang Lei
Published: September 2024

In an arid climate with minimal rainfall, plant growth is constrained by water scarcity and soil salinity. Ecological Water Conveyance (EWC) can mitigate degradation risks faced by riparian plant communities in these regions. However, its effects on long-term dynamics of root zone soil water content, salt levels, and root water uptake remain unclear. This study examined how groundwater affects salt and water dynamics, in addition to root water uptake, under different scenarios involving Tamarix ramosissima Ledeb. The research was conducted in the lower reaches of the Tarim River in northwestern China. The Hydrus-1D model was used, following the EWC strategy. The results show that the distribution of T. ramosissima roots was significantly influenced by soil water and salt distributions, with 56.8% of roots concentrated in the 60–100 cm soil layer. Under water stress conditions, root water uptake reached 91.0% of the potential maximum when considering water stress alone, and 41.0% when accounting for both water and salt stresses. Root water uptake was highly sensitive to changes in Depth-to-Water Table (DWT), notably decreasing with lower or higher DWT at 40% of the reference level. EWC effectively enhances root water uptake by using water to leach salts from the root zone soil, with optimal results observed at 500–600 mm. This study advocates for sustainable EWC practices to support vegetation and combat desertification in the lower reaches of arid inland rivers.
Temporal Shifts in Flower-Visiting Butterfly Communities and Their Floral Resources along a Vegetation Type Altered by Anthropogenic Factors
Authors: López-Vázquez Karla , Lara Carlos , Corcuera Pablo , Castillo-Guevara Citlalli
Published: September 2024

Habitat disturbance driven by human activities poses a major threat to biodiversity and can disrupt ecological interactions. Butterfly–plant mutualisms represent an ideal model system to study such anthropogenic impacts, as butterflies exhibit intimate dependencies on larval host plants and adult nectar sources, rendering them highly sensitive to habitat changes affecting the availability of these floral resources. This study examined flower-visiting butterfly communities and their associations with flowering plants in a landscape altered by anthropogenic factors in central Mexico. The study area encompassed a mosaic of vegetation types, including native juniper forests, agricultural lands, and introduced eucalyptus plantations, representing different degrees of human-induced habitat modification. Monthly surveys were conducted over a single year, covering both rainy and dry seasons, to analyze butterfly and plant diversity, community composition, and interactions. Results showed the highest diversity in juniper forests, followed by eucalyptus and agricultural sites. Seasonal turnover was the primary driver of community changes, with habitat-based segregation persisting within seasons. Butterfly diversity strongly correlated with flower abundance, while plant richness played a secondary role. SIMPER and indicator species analyses identified key taxa contributing to compositional dissimilarities among habitats and associated with specific vegetation types and seasons. Our research provides insights into temporal dynamics structuring butterfly–plant interactions across this forest disturbance spectrum, highlighting how habitat changes and seasonality shape these mutualistic communities in changing landscapes.
Wood-Based Bioenergy in North America: An Overview of Current Knowledge
Authors: Acharya Bharat Sharma , Saud Pradip , Sharma Sadikshya , Perez-Verdin Gustavo , Grebner Donald L. , Joshi Omkar
Published: September 2024

Policy priorities for wood-based bioenergy in North America have undergone fluctuations over time, influenced significantly by the dynamic interplay of sociopolitical factors. Recent years, however, have seen a renewed public interest in wood-based bioenergy in the United States, Canada, and Mexico. This resurgence is driven by fluctuating energy prices and growing concerns about climate change. This review provides an overview of current energy production and consumption scenarios, and highlights critical issues related to the sustainability of bioenergy feedstocks and their economic potential across the three North American countries. Different cross-cutting issues related to public health, climate change, and social acceptance of wood-based bioenergy are thoroughly examined. Within this context, several challenges have been identified, including uncertainties in climate projections, inadequate tree inventories beyond forestlands, deforestation concerns, technological shifts in wood processing, fluctuations in bioenergy demand, and the imperative need for access to reliable markets. Addressing these challenges requires increased research and investment in wood-based energy to enhance energy security, reduce greenhouse gas emissions, and improve economic and social viability in bioenergy production. This proactive approach is vital for fostering a sustainable and resilient wood-based bioenergy sector in North America.
Parameterization before Meta-Analysis: Cross-Modal Embedding Clustering for Forest Ecology Question-Answering
Authors: Tao Rui , Zhu Meng , Cao Haiyan , Ren Hong-E
Published: September 2024

In the field of forestry ecology, image data capture factual information, while literature is rich with expert knowledge. The corpus within the literature can provide expert-level annotations for images, and the visual information within images naturally serves as a clustering center for the textual corpus. However, both image data and literature represent large and rapidly growing, unstructured datasets of heterogeneous modalities. To address this challenge, we propose cross-modal embedding clustering, a method that parameterizes these datasets using a deep learning model with relatively few annotated samples. This approach offers a means to retrieve relevant factual information and expert knowledge from the database of images and literature through a question-answering mechanism. Specifically, we align images and literature across modalities using a pair of encoders, followed by cross-modal information fusion, and feed these data into an autoregressive generative language model for question-answering with user feedback. Experiments demonstrate that this cross-modal clustering method enhances the performance of image recognition, cross-modal retrieval, and cross-modal question-answering models. Our method achieves superior performance on standardized tasks in public datasets for image recognition, cross-modal retrieval, and cross-modal question-answering, notably achieving a 21.94% improvement in performance on the cross-modal question-answering task of the ScienceQA dataset, thereby validating the efficacy of our approach. Essentially, our method targets cross-modal information fusion, combining perspectives from multiple tasks and utilizing cross-modal representation clustering of images and text. This approach effectively addresses the interdisciplinary complexity of forestry ecology literature and the parameterization of unstructured heterogeneous data encapsulating species diversity in conservation images. Building on this foundation, intelligent methods are employed to leverage large-scale data, providing an intelligent research assistant tool for conducting forestry ecological studies on larger temporal and spatial scales.
Study on Explosion Mechanism of Dimethyl Ether/H2-Blended Gas Based on Chemical Kinetics Method
Authors: Zhou Yong , Kong Yang , Zhang Qi , Huang Qi , Wei Zhikai , Lu Huaheng
Published: September 2024

In order to reveal the deflagration mechanism of DME/H2-blended gasses, the micro-mechanism was studied based on the constructed UC San Diego 2016 pyrolysis oxidation mechanism model. The results show that adiabatic flame temperature and laminar flame speed increase with the increase in the equivalence ratio (Φ); they first increase and then decrease with the increase in the hydrogen (H2)-blended ratio (λ), and with the increase in λ, the Φ corresponding to the peak laminar flame speed of the blended gas increases. The addition of H2 increases the consumption of O2, and H2 reacts with CO to form H2O and CO2, promoting complete combustion. When Φ = 1.0–1.2, the equilibrium mole fraction of H and OH-activated radicals reach the maximum, and with the addition of H2, the concentration of activating radicals gradually increases, while the number of promoted elementary reactions increases by two, and the number of inhibited elementary reactions does not increase. Meanwhile, the addition of H2 increases the reaction rate of most reactions on the main chemical reaction path CH3OCH3→CH3OCH2→CH2O→HCO→CO→CO2 of DME and increases the risk of the deflagration of DME/H2-blended gas.
Real-Time Fire Classification Models Based on Deep Learning for Building an Intelligent Multi-Sensor System
Authors: Kim Youngchan , Heo Yoseob , Jin Byoungsam , Bae Youngchul
Published: September 2024

Fire detection systems are critical for mitigating the damage caused by fires, which can result in significant annual property losses and fatalities. This paper presents a deep learning-based fire classification model for an intelligent multi-sensor system aimed at early and reliable fire detection. The model processes data from multiple sensors that detect various parameters, such as temperature, humidity, and gas concentrations. Several deep learning architectures were evaluated, including LSTM, GRU, Bi-LSTM, LSTM-FCN, InceptionTime, and Transformer. The models were trained on data collected from controlled fire scenarios and validated for classification accuracy, loss, and real-time performance. The results indicated that the LSTM-based models (particularly Bi-LSTM and LSTM) could achieve high classification accuracy and low false alarm rates, demonstrating their effectiveness for real-time fire detection. The findings highlight the potential of advanced deep-learning models to enhance the reliability of sensor-based fire detection systems.
Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection
Authors: Akhmedov Farkhod , Nasimov Rashid , Abdusalomov Akmalbek
Published: September 2024

Ship fire detection presents significant challenges in computer vision-based approaches due to factors such as the considerable distances from which ships must be detected and the unique conditions of the maritime environment. The presence of water vapor and high humidity further complicates the detection and classification tasks for deep learning models, as these factors can obscure visual clarity and introduce noise into the data. In this research, we explain the development of a custom ship fire dataset, a YOLO (You Only Look Once)-v10 model with a fine-tuning combination of dehazing algorithms. Our approach integrates the power of deep learning with sophisticated image processing to deliver comprehensive solutions for ship fire detection. The results demonstrate the efficacy of using YOLO-v10 in conjunction with a dehazing algorithm, highlighting significant improvements in detection accuracy and reliability. Experimental results show that the YOLO-v10-based developed ship fire detection model outperforms several YOLO and other detection models in precision (97.7%), recall (98%), and mAP@0.50 score (89.7%) achievements. However, the model reached a relatively lower score in terms of F1 score in comparison with YOLO-v8 and ship-fire-net model performances. In addition, the dehazing approach significantly improves the model’s detection performance in a haze environment.
Optimization of High-Pressure Processing for Microbial Inactivation in Pigmented Rice Grass Juice and Quality Impact Assessment during Refrigerated Storage
Authors: Dao Uyen Ha , Lamphun Jitlada Na , Tongdonyod Sitthidat , Taya Sirinya , Phongthai Suphat , Klangpetch Wannaporn
Published: September 2024

Pigmented rice grass juice (RGJ) is a good source of bioactive compounds, but fresh juice has a relatively short shelf life of only 7 days at 4 °C. The objectives of this study were to determine the optimal growth stage of pigmented rice grass, investigate the optimal condition of high-pressure processing (HPP) for bacterial inactivation in inoculated RGJ using response surface methodology (RSM), and evaluate quality changes in uninoculated HPP-treated juice during storage at 4 °C compared with heat-treated (85 °C/10 min) and untreated samples. Results revealed that the optimal growth stage of rice grass was 9 days with the highest total anthocyanin content of 158.92 mg/L. The optimal condition of HPP was determined to be 612 MPa, 11 min, and 36 °C, and inactivated Escherichia coli K12 and Listeria innocua with 6.43 and 5.02 log reductions, respectively, meeting FDA regulations. The lethality of bacteria after HPP treatment can be explained by damage to the cell membrane and the leakage of intracellular constituents such as protein and nucleic acid. During 12 weeks of storage at 4 °C, total plate counts and yeast and mold counts in uninoculated HPP-treated juice were not detected. Moreover, HPP did not significantly change phytochemical properties (p < 0.05), caused a minor impact on physicochemical properties of RGJ, and maintained the durability of juice samples during storage. Analysis of the phytochemical profile revealed that HPP treatment could preserve most of the phenolic compounds in RGJ and especially increase the contents of protocatechuic acid, 4-hydroxybenzoic acid, syringic acid, transcinnamic acid, isorhamnetin-3-o-glucoside, quercetin, and cyanidin-3-glucoside (p < 0.05). Overall, HPP is a potential pasteurization technique for microbial inactivation and nutritional preservation for rice grass juice.
A Novel Approach Based on Real-Time PCR with High-Resolution Melting Analysis for the Simultaneous Identification of Staphylococcus aureus and Staphylococcus argenteus
Authors: Chieffi Daniele , Bongiorno Dafne , Licitra Anna , Campanile Floriana , Fusco Vincenzina
Published: September 2024

Staphylococcus (S.) aureus is a pathogenic bacterium able to cause several diseases in humans and animals as well as foodborne intoxications. S. argenteus, being phenotypically and genotypically related to S. aureus, is part of the so-called S. aureus complex and recently recognized as an emerging pathogen able to cause, like S. aureus, several diseases both in humans and animals, and foodborne poisoning outbreaks. However, it has been reported that the widely used conventional PCR of Brakstad et al. [Journal of Clinical Microbiology, 30(7), 1654–1660, (1992)] targeting the thermostable nuclease gene may provide false-positive S. aureus, as it is able to amplify also S. argenteus. Here, we developed a novel two-step approach that, following the PCR of Brakstad et al. (1992), discriminates S. aureus from S. argenteus by a real-time PCR with high-resolution melting analysis (rt-PCR-HRM). In particular, targeting a polymorphic 137 bp region of the sodA gene, our developed rt-PCR-HRM method clearly discriminated S. aureus from S. argenteus, showing a remarkable difference in their amplification product melting temperatures (approximately 1.3 °C) as well as distinct melting curve shapes. The good sensitivity, reproducibility, user friendliness, and cost effectiveness of the developed method are advantageous attributes that will allow not only its easy employment to correctly identify misidentified isolates present in various collections of S. aureus, but also expand the still lacking knowledge on the prevalence and distribution of S. argenteus.
Exploring Dietary Interventions in Autism Spectrum Disorder
Authors: Pérez-Cabral Ingrid Daniela , Bernal-Mercado Ariadna Thalía , Islas-Rubio Alma Rosa , Suárez-Jiménez Guadalupe Miroslava , Robles-García Miguel Ángel , Puebla-Duarte Andrés Leobardo , Del-Toro-Sánchez Carmen Lizette
Published: September 2024

Autism spectrum disorder (ASD) involves social communication difficulties and repetitive behaviors, and it has a growing prevalence worldwide. Symptoms include cognitive impairments, gastrointestinal (GI) issues, feeding difficulties, and psychological problems. A significant concern in ASD is food selectivity, leading to nutrient deficiencies. Common GI issues in ASD, such as constipation and irritable bowel syndrome, stem from abnormal gut flora and immune system dysregulation. Sensory sensitivities and behavioral challenges exacerbate these problems, correlating with neurological symptom severity. Children with ASD also exhibit higher oxidative stress due to low antioxidant levels like glutathione. Therapeutic diets, including ketogenic, high-antioxidant, gluten-free and casein-free, and probiotic-rich diets, show potential in managing ASD symptoms like behavior, communication, GI issues, and oxidative stress, though the evidence is limited. Various studies have focused on different populations, but there is increasing concern about the impact among children. This review aims to highlight the food preferences of the ASD population, analyze the effect of the physicochemical and nutritional properties of foods on the selectivity in its consumption, GI problems, and antioxidant deficiencies in individuals with ASD, and evaluate the effectiveness of therapeutic diets, including diets rich in antioxidants, gluten-free and casein-free, ketogenic and essential fatty acids, and probiotic-rich diets in managing these challenges.
The Herbal Blend of Sphaeranthus indicus and Garcinia mangostana Reduces Adiposity in High-Fat Diet Obese Mice
Authors: Kang Sumin , Kim Hayoon , Bang Chaeyoung , Park Jung Hyeon , Go Gwang-woong
Published: September 2024

Obesity is swiftly becoming a global epidemic, leading to numerous metabolic disorders and substantial socio-economic burdens. Investigating natural bioactive compounds is crucial to support the use of traditional anti-obesity medications while mitigating the adverse effects. This study posited that a combination of Sphaeranthus indicus and Garcinia mangostana (Meratrim) could prevent fat accumulation in obese mice. We used 4-week-old C57BL/6NTac mice, dividing them into six groups: (1) normal diet (ND); (2) high-fat diet (HFD, 45% kcal from fat); (3–5) Meratrim150, Meratrim300, and Meratrim450 (HFD with 150, 300, and 450 mg/kg bw of Meratrim); and (6) Metformin (HFD with 150 mg/kg bw of metformin). Meratrim was administered orally each day for 20 weeks. The group receiving 450 mg/kg of Meratrim showed a significant reduction in body weight and fat mass without changes in food consumption. The Meratrim450 group had markedly lower triglyceride levels in both serum and liver. Importantly, Meratrim-supplemented mice improved lipid homeostasis by inhibiting hepatic de novo lipogenesis and activating energy catabolic pathways such as non-shivering thermogenesis in brown adipose tissue. Our results suggest that the herbal mixture of Sphaeranthus indicus and Garcinia mangostana (Meratrim) is a promising natural anti-obesity agent, owing to its efficacy in reducing body fat and enhancing lipid homeostasis.
Menin in Cancer
Authors: Majer Ariana D. , Hua Xianxin , Katona Bryson W.
Published: September 2024

The protein menin is encoded by the MEN1 gene and primarily serves as a nuclear scaffold protein, regulating gene expression through its interaction with and regulation of chromatin modifiers and transcription factors. While the scope of menin’s functions continues to expand, one area of growing investigation is the role of menin in cancer. Menin is increasingly recognized for its dual function as either a tumor suppressor or a tumor promoter in a highly tumor-dependent and context-specific manner. While menin serves as a suppressor of neuroendocrine tumor growth, as seen in the cancer risk syndrome multiple endocrine neoplasia type 1 (MEN1) syndrome caused by pathogenic germline variants in MEN1, recent data demonstrate that menin also suppresses cholangiocarcinoma, pancreatic ductal adenocarcinoma, gastric adenocarcinoma, lung adenocarcinoma, and melanoma. On the other hand, menin can also serve as a tumor promoter in leukemia, colorectal cancer, ovarian and endometrial cancers, Ewing sarcoma, and gliomas. Moreover, menin can either suppress or promote tumorigenesis in the breast and prostate depending on hormone receptor status and may also have mixed roles in hepatocellular carcinoma. Here, we review the rapidly expanding literature on the role and function of menin across a broad array of different cancer types, outlining tumor-specific differences in menin’s function and mechanism of action, as well as identifying its therapeutic potential and highlighting areas for future investigation.
Silicon Modifies Photosynthesis Efficiency and hsp Gene Expression in European Beech (Fagus sylvatica) Seedlings Exposed to Drought Stress
Authors: Nowakowska Justyna , Dang Monika , Kiełtyk Piotr , Niemczyk Marzena , Malewski Tadeusz , Szulc Wiesław , Rutkowska Beata , Borowik Piotr , Oszako Tomasz
Published: September 2024

Background: Climate change is leading to severe and long-term droughts in European forest ecosystems. can have profound effects on various physiological processes, including photosynthesis, gene expression patterns, and nutrient uptake at the developmental stage of young trees. Objectives: Our study aimed to test the hypothesis that the application of silica (SiO2) influences photosynthetic efficiency and gene expression in 1- to 2-year-old Fagus sylvatica (L.) seedlings. Additionally, we aimed to assess whether silicon application positively influences the structural properties of leaves and roots. To determine whether the plant physiological responses are genotype-specific, seedlings of four geographically different provenances were subjected to a one-year evaluation under greenhouse conditions. Methods: We used the Kruskal–Wallis test followed by Wilcoxon’s test to evaluate the differences in silicon content and ANOVA followed by Tukey’s test to evaluate the physiological responses of seedlings depending on treatment and provenance. Results: Our results showed a significantly higher Si content in the roots compared with the leaves, regardless of provenance and treatment. The most significant differences in photosynthetic performance were found in trees exposed to Si treatment, but the physiological responses were generally nuanced and provenance-dependent. Expression of hsp70 and hsp90 was also increased in leaf tissues of all provenances. These results provide practical insights that Si can improve the overall health and resilience of beech seedlings in nursery and forest ecosystems, with possible differences in the beneficial role of silicon application arising from the large differences in wild populations of forest tree species.
A Review of Research on the Stability of Fine-Grained Sediments in Debris Flows
Authors: Wang Qinjun , Yang Jingyi , Xu Wentao , Yuan Boqi , He Chaokang
Published: September 2024

Fine-grained sediments in debris flows refer to Quaternary sediments with grain sizes smaller than 2 mm. Their stability is closely related to the initial water threshold that triggers the debris flows and thus controls the density, scale, and damage of the debris flows. Based on this, they play a key “probe” role in early warnings of debris flows. Studies on fine-grained sediment stability are related to the accuracy and efficiency of early warnings of debris flows and thus play an important role in ensuring the safety of people and property. There have been some studies on fine-grained sediment stability in debris flows, but no one has carried out a systematic analysis and summary of this field. Therefore, in response to the urgent need for high-precision early warnings of debris flows, firstly, we review the current research on the aspects of fine-grained sediment stability, initiation, triggering, physical properties, hyperspectral remote sensing, and early warning systems; secondly, we summarize the main problems related to high-precision early warnings of debris flow hazards; and finally, we outline the future directions of research on fine-grained sediment stability in debris flows.
Regional Variations in Physical Fitness in Children and Adolescents in Shaanxi Province
Authors: Li Yanbing , Zhang Longhai , Yang Shutong , Zhang Ling , Yan Jiaming , Chen Weixin , Zeng Haiqi , Sun Yuliang , Zhu Wenfei
Published: September 2024

Objectives: This study aims to examine the geographical variation in physical fitness levels among Chinese children and adolescents in Shaanxi province. Methods: A total of 19,175 children from Shaanxi province with physical fitness data in 2019, participated in the study. Physical fitness was assessed using body mass index, force vital capacity, 50 m sprint, sit and reach, 1 min rope skipping, sit-ups, 50 m × 8 round-trip running, standing long jump, pull-ups, 800 m, and 1000 m running, and their standardized scores were aggregated to form a summary score. The total score is used to classify the physical fitness levels into four grades (excellence to failure). Results: The Guanzhong (GZ) region scored the highest, while Northern Shaanxi (NS) scored the lowest. The excellence rate for physical fitness was highest in GZ and lowest in NS, while the failure rate was highest in NS and lowest in GZ. Notably, children and adolescents in NS demonstrated the best endurance levels despite their overall lower fitness scores. The comprehensive physical fitness among Chinese children and adolescents in Shaanxi province showed significant regional disparities. GZ region exhibited the highest physical fitness levels, while Northern Shaanxi had the lowest. Conclusions: Region-specific interventions and targeted health policies are essential to address these disparities and improve the overall physical health status of children and adolescents in Shaanxi province.
Assessing Patient Satisfaction and the Need for Collaborative Treatment with Korean and Western Medicine
Authors: Park Soyong , Lee Yoonju , Kim Linae , Acharya Shiva Raj , Kim NamKwen
Published: September 2024

Background: The collaborative treatment of Korean medicine (KM) and Western medicine (WM) in Korea has gained prominence since its initiation. However, comprehensive evaluations of patient satisfaction and care effectiveness remain limited. Thus, this study aimed to evaluate patient satisfaction and the need for collaborative KM-WM treatment in the fourth phase of the national pilot project. Methods: A multicenter survey was conducted among 321 patients from 15 institutions participating in the fourth phase of the collaborative KM-WM pilot project, spanning from 1 August 2023 to 31 October 2023. Patient satisfaction and needs were assessed using a validated, semi-structured questionnaire with a 5-point Likert scale. Descriptive statistics and hierarchical multiple regression were used in the analysis. Results: The overall satisfaction with collaborative KM-WM treatment was notably high (91.25%). Among the participants, 91.58% indicated the necessity of the collaborative KM-WM pilot project, whereas 90.66% pointed out the need to incorporate inpatient services into collaborative care. Expansion of the pilot project to additional institutions and primary healthcare settings was substantially demanded (85.36% and 80.06%, respectively). Treatment effects (β, 0.344; 95% CI: 0.237–0.451), appropriate treatment time (β, 0.140; 95% CI: 0.051–0.229), medical procedural efficiency (β, 0.227; 95% CI: 0.126–0.328), and promotional activities (β, 0.175; 95% CI: 0.101–0.250) significantly contributed to overall patient satisfaction (each, p < 0.05). Conclusions: The fourth phase of the KM-WM project reflects high patient satisfaction and a substantial need for collaborative treatment. Further research should include longitudinal studies and employ mixed-methods approaches to better understand, evaluate, and improve collaborative KM-WM treatment.
Clinical Outcomes and Cost Implications of a Community Psychosocial Rehabilitation Service for Severe and Persistent Mental Illness in Nova Scotia, Canada
Authors: Awara Mahmoud A. , Green Joshua T.
Published: September 2024

Introduction: Individuals with severe and persistent mental illness (SPMI) present distinct challenges in mental healthcare due to the chronic and complex nature of their conditions. This study was conducted to assess the clinical efficacy and potential cost-effectiveness of a multidisciplinary community-based psychosocial rehabilitation team serving individuals with SPMI in Nova Scotia, Canada. Method: This study was conducted to evaluate the effects of a community-based psychosocial rehabilitation program on individuals with severe and persistent mental illness (SPMI) in Nova Scotia, Canada. This research focused on clinical outcomes and potential cost savings following a one-year intervention, offering critical insights into the benefits of community-based care for this population. A cohort of 137 clients accepted into the community rehabilitation service (Connections Dartmouth) between September 2016 and September 2020 was analyzed. Each participant received one year of community rehabilitation intervention. Using data from the Canadian Medical Service Insurance (MSI) billing system, this research compared the use of inpatient services and Emergency Department visits in the year prior to and the year following the intervention. The findings provide valuable evidence on the role of community rehabilitation in reducing healthcare utilization for individuals with SPMI. Results: The results demonstrated a statistically significant reduction in mean admission rates and length of inpatient admissions in the year following rehabilitation compared to the pre-rehabilitation year. A substantial percentage of patients experienced no inpatient admissions (88% vs. 60%) or Emergency Department visits (82% vs. 67%) in the post-rehabilitation year, compared to the pre-rehabilitation year. There was a significant reduction in inpatient days by 90%, translating into substantial cost savings. The findings highlight the potential economic benefits of community rehabilitation for people with SPMI. Conclusions: This uncontrolled study suggests that community rehabilitation is associated with positive clinical outcomes for individuals with SPMI in terms of reduced inpatient service use and associated costs. Further research, including controlled studies and cost-effectiveness studies, into the community psychosocial rehabilitation services in the Canadian setting is needed.
Deciphering the Effects of Different Calcium Sources on the Plant Growth, Yield, Quality, and Postharvest Quality Parameters of ‘Tomato’
Authors: Haider Sakeena Tul-Ain , Anjum Muhammad Akbar , Shah Muhammad Nadeem , Hassan Adeeb Ul , Parveen Maqsooda , Danish Subhan , Alharbi Sulaiman Ali , Alfarraj Saleh
Published: September 2024

Tomatoes are one of the most important vegetables in every home, especially in South Asian countries, used as a vegetable, ketchup, and condiment in many kitchen recipes. It is a good source of calcium, potassium, folate, vitamin A, vitamin K, and lycopene, which are beneficial for the human body and protect it against different diseases. Nutrient management is a key factor for the best quality production of tomato fruit. The present study was conducted to compare the efficiency of different calcium salts (calcium sulphate, calcium carbonate, calcium nitrate, and calcium chloride) in improving the growth, yield, and other quality-related parameters of tomatoes. A single field experiment was conducted and laid out according to the Randomized Complete Block Design (RCBD) with a single factor in the field and a Complete Randomized Design (CRD)) for postharvest fruit storage. The results obtained from this experiment suggest that plants treated with 2% calcium chloride solution exhibited the greatest plant height (85.27 cm), number of leaves (221), yield per plant (2.3 kg), ascorbate peroxidase (290.75 m mol s−1 kg−1), superoxide dismutase (7.13 m mol s−1 kg−1), catalase (18.74 m mol s−1 kg−1), total phenolics (2.44 mg g−1), and β carotene (0.48 µg g−1). During postharvest storage, the maximum shelf life (18 days), minimum disease incidence (4.78%), weight loss (6.61%), and ethylene production (119.6 µL C2H4 kg−1h−1) rate were also observed in calcium-treated fruits.
Lifestyle and Cardiometabolic Risk Factors Associated with Impoverishment Due to Out-of-Pocket Health Expenditure in São Paulo City, Brazil
Authors: Trindade Lucas Akio Iza , Pereira Jaqueline Lopes , Leite Jean Michel Rocha Sampaio , Rogero Marcelo Macedo , Fisberg Regina Mara , Sarti Flavia Mori
Published: September 2024

The rise in obesity and related chronic noncommunicable diseases (NCDs) during recent decades in Brazil has been associated with increases in the financial burden and risk of impoverishment due to out-of-pocket (OOP) health expenditure. Thus, this study investigated trends and predictors associated with impoverishment due to health expenditure, in the population of São Paulo city, Brazil, between 2003 and 2015. Household data from the São Paulo Health Survey (n = 5475) were used to estimate impoverishment linked to OOP health expenses, using the three thresholds of International Poverty Lines (IPLs) defined by the World Bank at 1.90, 3.20, and 5.50 dollars per capita per day purchasing power parity (PPP) in 2011. The results indicated a high incidence of impoverishment due to OOP disbursements for health care throughout the period, predominantly concentrated among low-income individuals. Lifestyle choices referring to leisure-time physical activity (OR = 0.766 at $3.20 IPL, and OR = 0.789 at $5.50 IPL) were linked to reduction in the risk for impoverishment due to OOP health expenditures whilst there were increases in the probability of impoverishment due to cardiometabolic risk factors referring to obesity (OR = 1.588 at $3.20 IPL, and OR = 1.633 at $5.50 IPL), and diagnosis of cardiovascular diseases (OR = 2.268 at $1.90 IPL, OR = 1.967 at $3.20 IPL, and OR = 1.936 at $5.50 IPL). Diagnosis of type 2 diabetes mellitus was associated with an increase in the probability of impoverishment at only the $1.90 IPL (OR = 2.506), whilst coefficients for high blood pressure presented lack of significance in the models. Health policies should focus on interventions for prevention of obesity to ensure the financial protection of the population in São Paulo city, Brazil, especially targeting modifiable lifestyle choices like promotion of physical activity and reduction of tobacco use.
Human Rights and Inclusion of Vulnerable Groups in Health and Well-Being Policy Documents Relevant to Children and Young People in Ireland
Authors: Lambert Megan , McVeigh Joanne
Published: September 2024

Children and young people constitute a structurally vulnerable group who often experience specific barriers when trying to exercise their rights, including the right to health. The aim of this study was to examine core concepts of human rights and inclusion of vulnerable groups in a sample of national health and well-being policy documents relevant to children and young people in Ireland. Using EquiFrame, a validated policy content analysis tool, 3 policy documents were analysed in relation to their commitment to 21 core concepts of human rights and inclusion of 13 vulnerable groups. The Overall Summary Ranking of each policy varied: ‘Better Outcomes, Brighter Futures’–Moderate, ‘Sláintecare’–Moderate, and the ‘Wellbeing Policy Statement’–Low. Across all three documents, Core Concept Coverage was high while Core Concept Quality was low. The findings demonstrate that these documents cover a wide range of human rights but fail to provide specific policy actions to address human rights or an intention to monitor human rights.
Intention to Use Primary Healthcare Services among South–South Migrants
Authors: Cruz-Riveros Consuelo , Urzúa Alfonso , Lagos Carolina , Parada Evelyn
Published: September 2024

(1) Background: To evaluate a model based on the right-to-health approach, considering the impact of associated factors on the future utilization of primary healthcare services among international migrants in Chile. (2) Methods: A cross-sectional design was employed to survey 499 South American migrants residing in Chile. Ad-hoc questionnaires were used to assess their experiences related to the right to health, perceived discrimination, income, education, length of residence, age, marital status, gender, migration status, among others. Correlation analyses were conducted, followed by path analysis with significant variables to assess the fit of two models. (3) Results: Ten variables were identified as significant for path analysis. Among the two evaluated models, the final model identified six variables with significant direct and indirect effects. Among them, the availability, accessibility, acceptability, and quality of healthcare services were positively associated with the future intention to use them. Additionally, perceived racial and ethnic discrimination also had a positive effect on the intention to use healthcare services, suggesting a possible adaptive response to adversity, exhibiting acceptable goodness-of-fit indices (χ2 =241,492; p < 0.001; CFI = 0.913; TLI = 0.82; RMSEA = 0.062; SRMR = 0.05). (4) Conclusions: While the initial model provides valuable insights, it is essential to broaden the analysis to include other factors influencing the specific context of international migrants.
Enhancing Lung Recellularization with Mesenchymal Stem Cells via Photobiomodulation Therapy: Insights into Cytokine Modulation and Sterilization
Authors: Guimarães Leticia L. , Brito Auriléia A. , Cereta Andressa D. , Oliveira Ana Paula L. , Afonso João Pedro R. , Mello Diego A. C. P. G. , Oliveira-Silva Iransé , Silva Carlos H. M. , Oliveira Rodrigo F. , Oliveira Deise A. A. P. , Vieira Rodolfo de Paula , Santos Dante Brasil , Insalaco Giuseppe , Oliveira Luís V. F. , da Palma Renata Kelly
Published: September 2024

Several lung diseases can cause structural damage, making lung transplantation the only therapeutic option for advanced disease stages. However, the transplantation success rate remains limited. Lung bioengineering using the natural extracellular matrix (ECM) of decellularized lungs is a potential alternative. The use of undifferentiated cells to seed the ECM is practical; however, sterilizing the organ for recellularization is challenging. Photobiomodulation therapy (PBMT) may offer a solution, in which the wavelength is crucial for tissue penetration. This study aimed to explore the potential of optimizing lung recellularization with mesenchymal stem cells using PBMT (660 nm) after sterilization with PBMT (880 nm). The lungs from C57BL/6 mice were decellularized using 1% SDS and sterilized using PBMT (880 nm, 100 mW, 30 s). Recellularization was performed in two groups: (1) recellularized lung and (2) recellularized lung + 660 nm PBMT (660 nm, 100 mW, 30 s). Both were seeded with mesenchymal stem cells from human tooth pulp (DPSc) and incubated for 24 h at 37 °C and 5% CO2 in bioreactor-like conditions with continuous positive airway pressure (CPAP) at 20 cmH2O and 90% O2. The culture medium was analyzed after 24 h. H&E, immunostaining, SEM, and ELISA assays were performed. Viable biological scaffolds were produced, which were free of cell DNA and preserved the glycosaminoglycans; collagens I, III, and IV; fibronectin; laminin; elastin; and the lung structure (SEM). The IL-6 and IL-8 levels were stable during the 24 h culture, but the IFN-γ levels showed significant differences in the recellularized lung and recellularized lung + 660 nm PBMT groups. Greater immunological modulation was observed in the recellularized groups regarding pro-inflammatory cytokines (IL-6, IFN-γ, and IL-8). These findings suggest that PBMT plays a role in cytokine regulation and antimicrobial activity, thus offering promise for enhanced therapeutic strategies in lung bioengineering.