bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic diversity evaluation of Luculia yunnanensis, a vulnerable species endemic to Yunnan, Southwestern China based on morphological traits and EST-SSR markers
Authors: Zhang Yao , Wan Youming , Qu Suping , Mu Zhengchun , Li Yuying , Li Zhenghong
Published: August 2024

Luculia yunnanensis is a vulnerable species endemic to Yunnan Province, Southwestern China, which has high ornamental value. Its wild population has not been fully protected and utilized for a long time, which is not conducive to the long-term stable development of this species. Genetic diversity assessment is the basis and prerequisite for the conservation of rare species. In this study, 21 phenotypic traits and 17 highly polymorphic EST-SSR markers were used to analyze the genetic diversity and genetic structure of 164 individuals from six L. yunnanensis populations. The coefficient of variation of 21 phenotypic traits ranged from 11.76% to 52.58% (mean=21.72%), and the coefficient of variation of 18 traits was less than 30%. The average values of Ne, I, Ho and He were 1.710, 0.619, 0.384, and 0.352, respectively. The genetic diversity of LLO (Ho = 0.476 and He = 0.426) and LCM (Ho = 0.424 and He = 0.381) populations in Lushui County was highest. The GDX populations (Ho = 0.335 and He = 0.269) isolated by Gaoligong Mountain had the lowest genetic diversity. The AMOVA results showed that 13.04% of the genetic variation was among populations and 86.96% was within populations. The average phenotypic differentiation coefficient of phenotypic traits among populations was 18.69%. The results of phenotypic and genetic variation analysis were consistent, indicating that the most of variation exists within population. Genetic structure, UPGMA clustering and PCA analysis results showed that the populations of L. yunnanensis had obvious geographical divisions, and the populations distributed in the southern region and distributed in the northern region of the Nujiang River clustered into one group respectively. Combining the results of phenotypic and molecular markers, we recommend that give priority to the protection of LLO, LCM and GDX population, in order to ensure the sustainable utilization of L. yunnanensis germplasm resources.
The influence of parents on children’s consciousness of gender equality: a multi-group structural equation modeling approach
Authors: Li Yifei , Zhang Jie , Li Juan , Chen Yiping , Zhang Jingping , Zuo Man
Published: August 2024

Objective

This study aimed to understand the consciousness of gender equality among school-aged children in China and its influencing factors using structural equation modeling to explore the pathways, intensity and group differences among these factors.

Methods

A cross-sectional survey was conducted using stratified random whole-group sampling of primary school students in grades 1–6 and their parents who met the inclusion and exclusion criteria. In this study, 1,312 valid questionnaires were collected from a total of 1,500 school-aged children in Hunan Province, China (effective response rate of 87.5%). Statistical analysis was conducted using SPSS 26.0 and AMOS 24.0 software. Statistical inference consisted of t-tests, analysis of variance, the LSD test, Pearson correlation analysis, multiple stepwise linear regression analysis and structural equation modeling.

Results

School-aged children had the lowest consciousness of gender equality in the area of occupation and relatively higher consciousness in the areas of family and school. Children’s age, gender, gender role, parent–child relationship, teacher-student relationship and parents’ gender equality consciousness had predictive effects on children’s consciousness of gender equality. The structural equation model constructed in this study is applicable to school-aged children of different genders. There was a significant difference in the structural equation modeling for children in different study period groups.

Conclusion

In the education process, parents and teachers should attempt to improve their own consciousness of gender equality, integrate the concept of androgynous education, enhance close relationships with children, and adopt appropriate education methods according to the characteristics of different groups of children.
Augmented reality books: in-depth insights into children’s reading engagement
Authors: Alhamad Kawla , Manches Andrew , McGeown Sarah
Published: August 2024

Children’s reading engagement is associated with the quality of their reading experiences and outcomes; however, research to date has only examined children’s reading engagement within the context of traditional print books or digital texts. Augmented Reality represents a hybrid reading experience, where traditional paper books are augmented with digital features (e.g., animations, sounds, comprehension questions). This is the first study to examine children’s perspectives and experiences of AR books, within the context of reading engagement. In total, 38 demographically diverse children (aged 8–10, 21 male, 17 English as an Additional Language, 14 ethnicities, nine with teacher-reported reading difficulties) from the UK participated. After reading an AR book, children participated in interviews about their reading engagement. Deductive (themes) and inductive (subthemes) approaches to thematic analysis were used, examining children’s AR reading experiences within the context of their behavioral, cognitive, affective and social engagement. The majority of children found AR books easy to use, and provided examples of how AR books supported their behavioral engagement (e.g., desire to read more/extend reading practices), altered their cognitive engagement (e.g., reading strategies, visual representation/use of imagination, comprehension monitoring), influenced their affective engagement: (e.g., diverse positive feelings), and social engagement (e.g., prompted interaction and discussion), providing examples suggesting similarities and differences with traditional print books. This paper provides novel in-depth insights into children’s perspectives and experiences of AR books, and provides a foundation for researchers, educators, and AR book designers interested in better supporting children’s reading experiences and outcomes with AR books.
Effects of neuroticism on pre-exam irritable bowel syndrome in female middle school students: mediating role of intolerance of uncertainty and moderating role of exercise duration
Authors: Wu Hou , Liu Qiqin , Liu Jianping , Liu Mingfan
Published: August 2024

Background

China, which is deeply influenced by Confucianism, places special emphasis on students’ test scores. Previous studies have shown that neuroticism is associated with irritable bowel syndrome (IBS) in adolescents. However, the mechanisms underlying this association before exams in female secondary school students are unknown. The present study sought to ascertain whether IU mediates the association between neuroticism and pre-exam IBS, and to determine whether exercise duration moderates the relationship between neuroticism and pre-exam IBS.

Methods

The sample consisted of 685 Chinese female middle school students (Mage = 14.81, SD = 1.55, range = 11-18) who completed paper questionnaires, including the neuroticism subscale of the Chinese Neuroticism Extraversion Openness Five-Factor Inventory, the IBS Symptom Severity Scale, a simplified version of the Intolerance of Uncertainty Scale, and a movement time questionnaire. Independent samples t-test was used to compare differences between groups and Pearson correlation coefficient was used to investigate the bivariate correlation. The SPSS PROCESS 4.1 plug-in was then used to examine the mediating role of IU as well as the moderating role of movement time between neuroticism and pre-exam IBS.

Results

Neuroticism and IU were significantly correlated with pre-exam IBS (r = 0.39, 0.30, respectively; all p < 0.01), and neuroticism was significantly correlated with IU (r = 0.46, p < 0.01). Neuroticism had a direct predictive effect on pre-exam IBS in Chinese female middle school students (β = 0.32, p < 0.001), and IU also had a positive effect on pre-exam IBS (β = 0.15, p < 0.001). The mediating effect value of IU on the total effect was 18.09%. The relationship between neuroticism and pre-exam IBS was moderated by movement time (β = -0.23, p < 0.05).

Conclusion

IU plays a mediating role between neuroticism and pre-exam IBS, and exercise time plays a moderating role between neuroticism and pre-exam IBS. These findings provide an evidence for neuroticism intervention, IU management, and pre-exam IBS improvement in female middle school students.
Continuities and discontinuities in pharmaceutical treatment and medication use among older chronically ill patients of Turkish descent in Germany: a qualitative structuring content analysis
Authors: Tezcan-Güntekin Hürrem , Bird Rona , Aslan Sema , Kul Yagmur , Azman Özge , Aykaç Volkan , Klammt Beate , Aslan Meryem , Özer-Erdoğdu Ilknur
Published: August 2024

Background

Polypharmacy occurs frequently among older adults and is associated with an increased risk of falls and medication-related adverse events. In particular, people with a history of migration may receive inappropriate medication due to language barriers or discrimination in healthcare. This study aims to assess the continuities, discontinuities and barriers to drug therapy in older migrants of Turkish descent in Berlin, Germany.

Methods

Eleven problem-centered qualitative interviews with chronically ill older persons of Turkish descent and family caregivers were conducted and analyzed qualitatively by means of structuring content analysis.

Results

The chronically ill participants of Turkish descent predominantly take more than 5 types of medication per day and aim to take them regularly. Discontinuities emerge when medication is forgotten or intentionally omitted due to side effects. Frequent changes in medication and physicians' lack of time are relevant barriers to drug treatment plans. To avoid language barriers and disinterest on the part of professionals, respondents prefer Turkish-speaking physicians.
Relevant factors affecting nurse staffing: a qualitative study from the perspective of nursing managers
Authors: Li Gege , Wang Waner , Pu Jiangfeng , Xie Zhanghao , Xu Yixuan , Shen Tiemei , Huang Huigen
Published: August 2024

Objective

To understand the current situation of nursing manpower allocation, explore the factors affecting nurse staffing, improve nurse staffing level, and provide reference for better formulation of nursing human resources staffing standards.

Methods

A descriptive research method was used to conduct semi-structured interviews with 14 nursing managers. The data were analyzed and refined by content analysis. The sample size was subject to content saturation.

Results

Nine themes and twenty sub-themes of influencing factors for nursing staffing were identified across four levels: hospital level, department level, patient level, and nurse level.

Conclusion

Hospital and department managers need to comprehensively consider the factors of affecting nurse staffing. Adopting multidimensional optimization measures, improving relevant systems, optimizing nurse structure, and establishing flexible and mobile nurse database to cope with public emergencies, so as to effectively improve nurse staffing and nursing service quality.
Investigating bacterial diversity involved in the production of vegetable-based ethnic fermented food of North Bengal and their metabolic pathways with reverse ecology approach
Authors: Ghatani Kriti , Sha Shankar Prasad , Thapa Subarna , Sarkar Indrani , Sen Gargi , Sen Arnab
Published: August 2024

Endemic fermented vegetables play a crucial role in local cuisine and culture, with traditionally fermented raw green vegetables such as gundruk being a popular practice in North Bengal and Sikkim, India. However, there is a gap in the microbial profiling of these vegetables. This study aimed to explore the diversity of dominant bacterial populations in fermented leafy vegetables using both culture-dependent and culture-independent methods. In addition to isolating bacteria using conventional methods, we conducted phenotypic and biochemical characterization, community DNA isolation, and amplicon sequencing. We also introduced a new approach in bioinformatics analysis: reverse ecology, which analyzes complementation and competition among participant microbes. In conventional culture-dependent techniques, LAB genera such as Lactobacillus, Enterococcus, Leuconostoc, and Pediococcus have been identified as predominant consortia, whereas metagenomic analysis revealed that the microbiome of fermented dried leafy vegetables was mainly composed of Firmicutes, Proteobacteria, Actinobacteria, Bacteroides, and Planctomycetes at the phylum level. Within the Lactobacillaceae family, predominant types included Lactobacillus, Lactococcus, Pediococcus, Leuconostoc, Enterococcus, Vagococcus, Weissella, and Carnobacterium. The microbial metabolism revealed key pathways, such as carbon metabolism, glycolysis, gluconeogenesis, and glyoxylate. Aromatic amino acid degradation, fatty acid metabolism, amino sugar metabolism, nucleotide sugar metabolism, and biosynthesis of nucleotide sugar pathways were also active. The competition index among microbes and human metabolic data was low (0.32–0.44), indicating minimal competition for nutrition. Complementation indices between bacteria and humans were high (0.76–0.88), suggesting a beneficial impact of gundruk microbial populations on human health.
Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting
Authors: Matkerim Bazargul , Mukhanbet Aksultan , Kassymbek Nurislam , Daribayev Beimbet , Mustafin Maksat , Imankulov Timur
Published: August 2024

The accurate forecasting of oil recovery factors is crucial for the effective management and optimization of oil production processes. This study explores the application of machine learning methods, specifically focusing on parallel algorithms, to enhance traditional reservoir simulation frameworks using black oil models. This research involves four main steps: collecting a synthetic dataset, preprocessing it, modeling and predicting the oil recovery factors with various machine learning techniques, and evaluating the model’s performance. The analysis was carried out on a synthetic dataset containing parameters such as porosity, pressure, and the viscosity of oil and gas. By utilizing parallel computing, particularly GPUs, this study demonstrates significant improvements in processing efficiency and prediction accuracy. While maintaining the value of the R2 metric in the range of 0.97, using data parallelism sped up the learning process by, at best, 10.54 times. Neural network training was accelerated almost 8 times when running on a GPU. These findings underscore the potential of parallel machine learning algorithms to revolutionize the decision-making processes in reservoir management, offering faster and more precise predictive tools. This work not only contributes to computational sciences and reservoir engineering but also opens new avenues for the integration of advanced machine learning and parallel computing methods in optimizing oil recovery.
Optimisation Design of Thermal Test System for Metal Fibre Surface Combustion Structure
Authors: Qi Bin , A Rong , Yang Dongsheng , Wang Ri , Dong Sujun , Zhou Yinjia
Published: August 2024

The metal fibre surface combustion structure has the characteristics of strong thermal matching ability, short response time, and strong shape adaptability. It has more advantages in the thermal test of complex hypersonic vehicle surface inlet, leading edge, etc. In this paper, a method of aerodynamic thermal simulation test based on metal fibre surface combustion is proposed. The aim of the study was to create a uniform target heat flow on the inner wall surface of a cylindrical specimen by matching the gas jet flow rate and the geometry of the combustion surface. The research adopted the optimisation design method based on the surrogate model to establish the numerical calculation model of a metal fibre combustion jet heating cylinder specimen. One hundred sample points were obtained through Latin hypercube sampling, and a database of design parameters and heat flux was established through numerical simulation. The kriging surrogate model and the non-dominated sequencing genetic optimisation algorithm with elite strategy were adopted. A bi-objective optimisation design was carried out with the optimisation objective of the coincidence between the predicted and the target heat flux on the inner wall of the specimen. The results showed that the average relative errors of heat flow density on the specimen surface were 8.8% and 6% through the leave-one-out cross-validation strategy and the validation of six test sample points, respectively. The relative error values in most regions were within 5%, which indicates that the established kriging surrogate model has high prediction accuracy. Under the optimal solution conditions, the numerical calculation results of the heat flow on the inner wall of the specimen were in good agreement with the target heat flow values, with an average relative error of less than 5% and a maximum value of less than 8%. These results show that the optimisation design method based on the kriging surrogate model can effectively match the thermal test parameters of metal fibre combustion structures.
Implementation of Large Language Models and Agricultural Knowledge Graphs for Efficient Plant Disease Detection
Authors: Zhao Xinyan , Chen Baiyan , Ji Mengxue , Wang Xinyue , Yan Yuhan , Zhang Jinming , Liu Shiyingjie , Ye Muyang , Lv Chunli
Published: August 2024

This study addresses the challenges of elaeagnus angustifolia disease detection in smart agriculture by developing a detection system that integrates advanced deep learning technologies, including Large Language Models (LLMs), Agricultural Knowledge Graphs (KGs), Graph Neural Networks (GNNs), representation learning, and neural-symbolic reasoning techniques. The system significantly enhances the accuracy and efficiency of disease detection through an innovative graph attention mechanism and optimized loss functions. Experimental results demonstrate that this system significantly outperforms traditional methods across key metrics such as precision, recall, and accuracy, with the graph attention mechanism excelling in all aspects, particularly achieving a precision of 0.94, a recall of 0.92, and an accuracy of 0.93. Furthermore, comparative experiments with various loss functions further validate the effectiveness of the graph attention loss mechanism in enhancing model performance. This research not only advances the application of deep learning in agricultural disease detection theoretically but also provides robust technological tools for disease management and decision support in actual agricultural production, showcasing broad application prospects and profound practical value.
Typology of Production Units for Improving Banana Agronomic Management in Ecuador
Authors: Quiloango-Chimarro Carlos Alberto , Gioia Henrique Raymundo , de Oliveira Costa Jéfferson
Published: August 2024

Ecuador is one of the world’s leading banana exporters; however, low productivity resulting from inadequate agronomic management requires an analysis of banana production units. This study aimed to define the types of banana production units based on the different agronomic management practices adopted by producers in two Ecuadorian provinces. Data from the National Institute of Statistics and Censuses (INEC) for 2021 were used, with a sample of 319 production units. Principal component and cluster analyses were applied to identify the different types of production units, resulting in four types: high technology conventional (Cluster 1), balanced conventional (Cluster 2), intensive conventional (Cluster 3), and agroecological (Cluster 4). It is important to highlight that 58% of the production units are intensive conventional and use an average of 3.5 management practices, with 98% using fertilizers, 100% using fungicides and pesticides, and 45% using improved genotypes. In contrast, agroecological production is still incipient in Ecuador (4.7%). Regression analysis showed that waste is important in high-yield production units in the three clusters. In addition, Cluster 2 relied on regional factors, family labor, and irrigation efficiency, while in intensive conventional farms (Cluster 3), banana yield was related to fungicide application. Therefore, public policies should be customized according to cluster-specific characteristics to optimize agronomic management practices and facilitate their transfer among groups.
Fungicide Protection as an Agrotechnical Treatment Reducing Nitrogen Gap in Winter Wheat—A Case Study
Authors: Andrzejewska Agnieszka , Szczepaniak Witold , Szymański Tomasz
Published: August 2024

Protection of high-yielding winter wheat (WW) with fungicides increases the productivity of nitrogen (N) present in the soil–crop system during the growing season. As a consequence of the action of fungicides, the nitrogen gap (NG) reduces. This hypothesis was verified on the basis of data from a field experiment conducted with WW during three growing seasons (2013/2014; 2014/2015, 2015/2016) in Poland. The field experiment included two crop protection systems (CP): (i) CP-0—without fungicides and CP-F—with fungicides and (ii) six N doses increased gradually by 40 kg N ha−1 from 0 to 240 kg N ha−1. The grain yield (GY) of WW treated with fungicides was significantly higher than that of the unprotected. The difference in yields between both CP systems was 17.3% on a plot fertilized with 200 kg N ha−1 (9.13 vs. 11.2 t ha−1). The fungicide yield gap increased progressively with Nf doses from 0.76 t ha−1 in the Nf control plot to 2.17 t ha−1 in the fertilized with 200 kg ha−1. The use of fungicides increased the amount of N in grain (Ngr) from 15 kg N ha−1 in the control N plot to 51 kg N ha−1 in the plot with 200 kg N ha−1. The main source of additional N in grain (Ngr) was inorganic N released from the soil (Ng89) during the WW growing season. The maximum Ng89 values were 64.4 and 83.0 kg N ha−1. These values corresponded to Nf doses of 94.4 and 80.8 kg N ha−1. The Ng89 of 70.1 kg N ha−1 conditioned 100-percentage Nf recovery. As a consequence, the prediction reliability of GY and Ngr was highest when Ng89 was used as a predictor. The net increase in the absolute NG size in response to increasing N input was significantly slower and therefore smaller in fungicide-protected than in unprotected WW. It can be concluded that the use of fungicides due to the increase in inorganic N productivity in the soil–crop system reduces the potential threat of N dispersion into the environment. In the light of the results obtained, it should be concluded that the fungicidal protection of crop plants should be treated as a factor significantly reducing the nitrogen gap and, thus, the yield gap.
The Effect of the Foliar Application of Biostimulants in a Strawberry Field Plantation on the Yield and Quality of Fruit, and on the Content of Health-Beneficial Substances
Authors: Zydlik Piotr , Zydlik Zofia , Kafkas Nesibe Ebru
Published: August 2024

In modern horticulture, biostimulants can be an effective alternative to traditional, industrial means of production. The aim of the study was to assess the effect of three biostimulants (Calgreen, Erathis, Greit VG) containing selected macronutrients (N, Ca), organic matter, and amino acids on the yield and quality of strawberries and their content of health-beneficial substances. In the comparative variant, the plants were treated with mineral fertilisers applied into the soil. In 2021, an experiment was conducted on a two-year-old strawberry plantation of the ‘Rumba’ cultivar located on a horticultural farm in northwestern Poland. The following parameters were assessed: the yield, weight, and firmness of fruits as well as their content of soluble substances, sugars, organic acids, phenolic compounds, and anthocyanins. The use of biostimulants caused a decrease in soil acidity and salinity. In comparison with the soil fertilisation variant, the number of flowers and fruits on the plants increased by 50% to over 100%, which translated into a significant increase in the yield. The fruits from the plants treated with the biostimulants several times were of better quality. Their average weight, firmness, and the content of soluble substances (also after being stored for several days) increased significantly. However, the total content of sugars and ascorbic and malic acids, as well as the content of phenolic compounds and anthocyanins, did not change.
Hand Musculature of the Rhesus Monkey (Macaca mulatta): An Anatomical Study
Authors: Casteleyn Christophe , Vissers Marinus Cornelis , Bakker Jaco
Published: August 2024

The rhesus monkey (Macaca mulatta) is one of the most frequently used primate species in biomedical research. As a common animal model used to study human disease, the validation of the obtained research data depends on a solid understanding of rhesus monkey anatomy. Unfortunately, the number of anatomical studies on the rhesus monkey is low. Moreover, the available anatomical books and atlases are outdated. For example, no color photographs—only line drawings—are presented. Luckily, renewed interest in rhesus monkey anatomy has been observed. The present study builds upon a recently published manuscript on the topographical anatomy of the thoracic limb of the rhesus monkey. More specifically, the musculature of the rhesus monkey hand is described using full-color anatomical photographs taken during dissections of the hands of three rhesus monkeys. The structures that are visible in the different layers, from the superficial to the deepest layer, are described using veterinary anatomical nomenclature. As expected, the anatomy of the rhesus monkey hand largely parallels human anatomy, which supports the value of the rhesus monkey as animal model. However, some remarkable differences have been identified as well. The present publication could therefore be useful when modeling the human hand (e.g., surgical protocols) using the rhesus monkey.
Alterations in the Intestinal Microbiome and Metabolic Profile of British Shorthair Kittens Fed with Milk Replacer
Authors: Wang Cheng , Zhu Qi , Li Yinan , Guo Jiaxing , Li Lian
Published: August 2024

With the rising popularity of pet cats as companion animals, the survival of newborn kittens is often threatened by factors such as inadequate nursing, maternal behavior and blood incompatibility. These challenges require the use of milk replacers for nurturing. To investigate the effects that feeding kittens with an experimental milk replacer (EMR) have on growth and development, intestinal microbiota, immune response and nutrient metabolism, 12 British shorthair kittens were randomly divided into two groups after nursing for the first week of life. Kittens were fed queen’s milk or EMR, whereby kittens fed queen’s milk served as the control (CON) group. The findings revealed that the CON group exhibited superoxide dismutase (SOD) activity and total antioxidant capacity (T-AOC) (p < 0.01) on day 7. However, the EMR group had better growth performance during the later stage of the experiment (p < 0.05); the immunocompetence and antioxidant capacity of the EMR group were not significantly different from those of the CON group in the middle and late stages of the experiment, and the mean values of all the indexes were slightly better than those of the control group. Sequencing of the 16S rRNA gene in microbiota demonstrated that EMR increased the colonization of bacterial genera, including Lachnospiraceae, Enterococcus, Rothia and Ligilactobacillus. Compared to the CON group, acetate acid (p < 0.05), propionate acid (p < 0.01) and total SCFAs (p < 0.01) in the EMR group were significantly increased. Moreover, the intake of the EMR resulted in the production of distinct metabolites implicated in the metabolism of lipids and amino acids, among other nutrients, thus invigorating the associated metabolic pathways. These results elucidate the impact of administering a milk replacer on gastrointestinal health and nutrient assimilation in kittens. The study provides insights into the use of milk powder alternatives and sets the stage for future research on the formulation and effectiveness of kitten milk replacers.
Practical Application of Aztreonam-Avibactam as a Treatment Strategy for Ambler Class B Metallo-β-Lactamase Producing Enterobacteriaceae
Authors: Wong Darren W.
Published: August 2024

Carbapenem-resistant Enterobacteriaceae infections are a considerable challenge for clinicians. In recent years, novel antibiotic options have resulted in a tremendous advance in medical therapy; however, current treatment options are primarily effective for resistance derived from serine-based carbapenemases. The Ambler class B metallo-β-lactamases (MBLs) remain a critical challenge with decidedly fewer effective options. One intriguing option for these MBL pathogens is the combination of ceftazidime-avibactam with aztreonam. While clinical experience with this regimen is limited, in vitro studies are promising, and limited case reports describe success with this regimen; however, significant challenges preclude widespread adoption of this novel treatment regimen. A systemic literature review was performed to offer recommendations based on current evidence for a practical strategy on how to best integrate the use of aztreonam with avibactam combination therapy.
Mechanism of Mitochondrial Kinetic Imbalance and Nrf2 Signaling Pathway-Mediated Oxidative Stress in Nickel and/or Chromium-Induced Kidney Injury in Mice
Authors: Du Jun , Li Zhengqing , Cao Xianhong , Qi Qiurong , Wang Luqi , Liu Ping , Chen Yifei , Hu Guoliang , Guo Xiaoquan , Gao Xiaona
Published: August 2024

Nickel and chromium are both common heavy metals that pose serious environmental and health hazards. However, the exact mechanism by which nickel and/or chromium cause renal injury is unclear. Therefore, we explored the molecular mechanisms of renal injury caused by nickel and/or chromium poisoning from the perspective of mitochondrial dynamics and the Nrf2 antioxidant pathway. In this study, eighty 6-week-old C57BL/6J mice were randomly divided into four groups: control (Con, untreated), nickel (Ni, 110 mg/L Ni2+), chromium (Cr, 50 mg/L Cr6+), and combined nickel–chromium (Ni + Cr, 110 mg/L Ni2+, 50 mg/L Cr6+). The results showed that chronic nickel and/or chromium exposure inhibited body weight gain and impaired kidney function and structure in mice. Chronic nickel and/or chromium exposure led to the disruption of mitochondrial dynamics and thus induced oxidative stress. On the other hand, the Nrf2 antioxidant pathway may play an important regulatory role in mitigating oxidative stress-induced oxidative damage in kidney. The present study partially elucidated the molecular mechanism of renal injury induced by nickel and/or chromium exposure in mice and the regulatory role of the Nrf2 pathway in inducing oxidative injury from the perspective of mitochondrial dynamics. This provides a theoretical basis for the development of prevention and control strategies, and environmental protection measures.
Protective Effects of 7S,15R-Dihydroxy-16S,17S-Epoxy-Docosapentaenoic Acid (diHEP-DPA) against Blue Light-Induced Retinal Damages in A2E-Laden ARPE-19 Cells
Authors: Song Seung-Yub , Park Dae-Hun , Lee Sung-Ho , Lim Han-Kyu , Park Jin-Woo , Seo Jeong-Woo , Cho Seung-Sik
Published: August 2024

The purpose of this study was to investigate the protective effects of 7S,15R-dihydroxy-16S,17S-epoxy-docosapentaenoic acid (diHEP-DPA) in retinal pigment epithelial (RPE) cell damage. ARPE-19 cells, a human RPE cell line, were cultured with diHEP-DPA and Bis-retinoid N-retinyl-N-retinylidene ethanolamine (A2E), followed by exposure to BL. Cell viability and cell death rates were determined. Western blotting was performed to determine changes in apoptotic factors, mitogen-activated protein kinase (MAPK) family proteins, inflammatory proteins, and oxidative and carbonyl stresses. The levels of pro-inflammatory cytokines in the culture medium supernatants were also measured. Exposure to A2E and BL increased the ARPE-19 cell death rate, which was alleviated by diHEP-DPA in a concentration-dependent manner. A2E and BL treatments induced apoptosis in ARPE-19 cells, which was also alleviated by diHEP-DPA. Analysis of the relationship with MAPK proteins revealed that the expression of p-JNK and p-P38 increased after A2E and BL treatments and decreased with exposure to diHEP-DPA in a concentration-dependent manner. DiHEP-DPA also affected the inflammatory response by suppressing the expression of inflammatory proteins and the production of pro-inflammatory cytokines. Furthermore, it was shown that diHEP-DPA regulated the proteins related to oxidative and carbonyl stresses. Taken together, our results provide evidence that diHEP-DPA can inhibit cell damage caused by A2E and BL exposure at the cellular level by controlling various pathways involved in apoptosis and inflammatory responses.
Resveratrol Mitigates Cognitive Impairments and Cholinergic Cell Loss in the Medial Septum in a Mouse Model of Gradual Cerebral Hypoperfusion
Authors: Fagerli Eric , Jackson Charles W. , Escobar Iris , Ferrier Fernando J. , Perez Lao Efrain J. , Saul Isabel , Gomez Jorge , Dave Kunjan R. , Bracko Oliver , Perez-Pinzon Miguel A.
Published: August 2024

Vascular cognitive impairment and dementia (VCID) is the second leading cause of dementia. There is currently no effective treatment for VCID. Resveratrol (RSV) is considered an antioxidant; however, our group has observed pleiotropic effects in stroke paradigms, suggesting more effects may contribute to mechanistic changes beyond antioxidative properties. The main goal of this study was to investigate if administering RSV twice a week could alleviate cognitive declines following the induction of a VCID model. Additionally, our aim was to further describe whether this treatment regimen could decrease cell death in brain areas vulnerable to changes in cerebral blood flow, such as the hippocampus and medial septum. We hypothesized RSV treatments in a mouse model of gradual cerebral hypoperfusion protect against cognitive impairment. We utilized gradual bilateral common carotid artery stenosis (GBCCAS) via the surgical implantation of ameroid constrictor devices. RSV treatment was administered on the day of implantation and twice a week thereafter. Cerebral perfusion was measured by laser speckle contrast imaging, and cognitive functions, including the recognition memory, the spatial working memory, and associative learning, were assessed by novel object recognition (NOR), Y-maze testing, and contextual fear conditioning (CFC), respectively. RSV treatment did not alleviate cerebral perfusion deficits but mitigated cognitive deficits in CFC and NOR after GBCCAS. Despite these deficits, no hippocampal pathology was observed; however, cholinergic cell loss in the medial septum was significantly increased after GBCCAS. This cholinergic cell loss was mitigated by RSV. This study describes a novel mechanism by which chronic RSV treatments protect against a VCID-induced cognitive decline through the preservation of cholinergic cell viability to improve memory performance.
Improving Highway Emergency Repair Safety: Design and Evaluation of Interactive Roadblocks Based on Eye Tracking
Authors: Zhu Xiaohan , Zhao Xuandong , Yang Jianming , Du Xiaofei , Sun Bowen
Published: August 2024

As the number of traffic accident casualties continues to rise globally, this study aims to enhance traffic safety during highway emergency repairs. Based on the fundamentals of human vision, this study designed a novel interactive barricade design, R-barricade, which aims to improve the visibility and warning effect of the barricade, as well as to enhance the interaction with the operator in order to reduce the risk of accidents. We established a comprehensive visual criteria framework, combined with eye-tracking technology, to systematically evaluate the R-barricade. The evaluation results show that the design effectively improves the driver’s attention to the barricade and effectively extends the gaze time, significantly improves the reaction time, and effectively improves the safety of the barricade. This study provides new perspectives for evaluating and improving traffic safety measures during highway emergency repairs and contributes scientific support to the advancement of interactive transport systems and road safety management.
Perceptions and Practices of Accredited Tennis Coaches When Teaching Foundational Grip Development
Authors: Busuttil Nicholas A. , Roberts Alexandra H. , Dunn Marcus , Hyunh Minh , Middleton Kane J.
Published: August 2024

This study aimed to understand how tennis coaches perceive and approach the development of grip positions, a foundational skill in tennis. Professionally accredited coaches, classed as less (n = 140) or more (n = 86) experienced, participated in an online survey where they provided their perspectives on the importance of developing grip positions and their opinions on using physically constraining tools for coaching. Irrespective of coach experience level, the findings revealed that technique development and grip position training were ranked as the two most important components in foundational tennis skill development. The Semi-western grip for forehand (less: 68%; more: 65%), a combination of Continental and Eastern grips for double-handed backhand (less: 59%; more: 48.8%), and the Continental grip for serves (both: 94%) were identified as the most commonly taught positions for different shots. Perceived barriers to developing grip positions were out of habit (less: 62%; more: 56%), discomfort (less: 58%; more: 50%), and lack of confidence (less: 44%; more: 21%). Notably, 65% of coaches expressed an openness to incorporating physically constraining tools to enhance grip-specific skill development. Overall, this study serves as a foundational resource, guiding coaches in optimising their strategies for foundational tennis development, prompting further research in this area.
A Review of the Development and Future Challenges of Case-Based Reasoning
Authors: Yan Aijun , Cheng Zijun
Published: August 2024

Case-based reasoning (CBR), which is based on the cognitive assumption that similar problems have similar solutions, is an important problem-solving and learning method in the field of artificial intelligence (AI). In this article, the development of CBR is reviewed, and the major challenges of CBR are summarized. The paper is organized into four parts. First, the basic framework and concepts of CBR are introduced. Then, the developed technology and innovative work that were designed to solve problems by CBR are summarized. Then, the application fields of CBR are summarized. Finally, according to the idea of deep learning and interpretable AI, the main challenges for the future development of CBR are proposed.
Parametric Investigation of Die-Sinking EDM of Ti6Al4V Using the Hybrid Taguchi-RAMS-RATMI Method
Authors: Samantra Chitrasen , Barua Abhishek , Pradhan Swastik , Kumari Kanchan , Pallavi Pooja
Published: August 2024

Ti6Al4V is a widely used alloy due to its excellent mechanical qualities and resistance to corrosion, which make it fit for automotive, aerospace, defense, and biomedical sectors. Due to its high strength and limited heat conductivity, it is difficult to machine. Both the workpiece’s and the electrode’s conductivity are important factors that impact the electro-discharge machining (EDM) process. In this case, the machining efficiency is also influenced by the electrode selection. As a result, choosing the right electrode and machining parameters is essential to improving EDM performance on the Ti6Al4V alloy. Research on EDM for Ti6Al4V is limited, with little focus on electrode material selection and shape. The impact of EDM settings on MRR, TWR, and surface roughness is complex, and a comprehensive optimization strategy is needed. Copper electrodes are widely used, but further investigation is needed on EDM’s effects on Ti6Al4V’s surface properties and surface integrity. Addressing these research gaps will improve the understanding and application of EDM for Ti6Al4V, focusing on parameter optimization, surface integrity, and thermal and mechanical effects. By employing copper tools to optimize four crucial EDM process parameters—peak current, duty cycle, discharge current, and pulse-on time—this research aims to increase surface integrity and machining performance. A comprehensive Taguchi experimental design is used to systematically alter the EDM settings. By optimizing parameters using tolerance intervals and response modelling, the recently developed RAMS-RATMI approach improves the dependability of the EDM process and increases machining efficiency. With the optimized EDM settings, there were notable gains in depth of cut enhancement, surface roughness minimization, tool wear rate (TWR) reduction, and material removal rate (MRR). The results of the surface integrity examination showed fewer heat-affected zones, fewer microcracks, and a thinner recast layer. Analysis of variance was used to verify the impact and resilience of the optimized parameters. Superior machining performance, higher surface quality, and increased operational dependability were attained with the Ti6Al4V-optimized EDM process, providing industry practitioners with insightful information and useful recommendations.
Combined Approaches for the Remediation of Cadmium- and Arsenic-Contaminated Soil: Phytoremediation and Stabilization Strategies
Authors: Cao Jian , Tan Yiping , Zhang Chenxu
Published: August 2024

The prolonged duration of phytoremediation poses a risk of heavy metal dispersal to the surrounding environment. This study investigated a combined remediation approach for cadmium (Cd)- and arsenic (As)-contaminated soil by integrating phytoremediation with stabilization techniques. Bidens pilosa was utilized as the phytoremediator, and steel slag, pyrolusite, and FeSO4 were employed as stabilizing agents in the pot experiments. Key metrics such as soil moisture content, root length, plant height, and heavy metal concentrations in Bidens pilosa were measured to evaluate the remediation efficacy. Additionally, the bioavailability, leaching toxicity, and chemical forms of Cd and As, along with other soil properties, were analyzed. The results indicated that the optimal restoration effect was achieved by combining steel slag, pyrolusite, and FeSO4 with stabilizers in a ratio of 2:1:10. Additionally, the optimal dosage of these materials was found to be 9% by weight. Mechanistic studies, including heavy metal speciation analysis, X-ray photoelectron spectroscopy (XPS), and microbial community diversity analysis, revealed that the stabilization effects were primarily due to the interactions of anionic and cationic ions, chelation by organic acids secreted by plant roots, and enhanced microbial activity. A cost–benefit analysis demonstrated the technical, economic, and commercial viability of the combined remediation approach.
Establishing the Locomotor Performance Profile of Elite Ladies Gaelic Football across Position and Quarters
Authors: Malone Shane , McGuinness Aideen , Duggan John David , Talty Paul Francis , O’Connor Cliodhna , Collins Kieran
Published: August 2024

The aim of the current investigation was to examine the locomotor performance profile of elite ladies Gaelic football (LGF) players in relation to playing position and quarters of play. Thirty (n = 30) elite LGF players (age: 24 ± 4 years, height: 169 ± 5 cm, body mass: 61 ± 4 kg) were monitored using 10 Hz GPS technology (Playertek; Catapult Sports; Australia) resulting in 145 individual samples collected over 18 competitive matches across the 2021 and 2022 LGF seasons. Locomotor performance was determined across the following variables: total distance covered (TD, m), relative distance (m·min−1), high-speed running (HSR, ≥ 4.4 m·s−1), very high-speed running (VHSR, ≥ 5.5 m·s−1), relative HSR (RHSR; m·min−1), peak velocity (m·s−1), percentage peak velocity (%PeakV), accelerations (n; ≥ 3 m·s−2), and decelerations (n; ≤ −3 m·s−2). Data were classified based on playing position and quarter of play. The greatest TD was covered by half-backs, midfielders, and half-forwards, with these positions covering significantly greater distances than full-backs (p < 0.05). Similarly, half-backs, midfielders, and half-forwards covered the greatest high-speed distance (HSR). When running performance was analysed across quarters, a significant position by quarter interaction was observed for all running performance variables, except peak velocity and percentage peak velocity. A consistent trend for reduced locomotor performance was evident in the second and fourth quarters across all positional lines. The current data provide coaches with the position-specific locomotor requirements of LGF match-play, which can inform the design of training content for LGF players, along with match-day strategies. Given the reduction in locomotor performance observed across the match, performance staff may consider the use of nutritional interventions, rewarm-up strategies, or specific substitution policies to mitigate the decrement in locomotor performance observed across match-play.
Assimilating Satellite-Derived Snow Cover and Albedo Data to Improve 3-D Weather and Photochemical Models
Authors: Jones Colleen , Tran Huy , Tran Trang , Lyman Seth
Published: August 2024

During wintertime temperature inversion episodes, ozone in the Uinta Basin sometimes exceeds the standard of 70 ppb set by the US Environmental Protection Agency. Since ozone formation depends on sunlight, and less sunlight is available during winter, wintertime ozone can only form if snow cover and albedo are high. Researchers have encountered difficulties replicating high albedo values in 3-D weather and photochemical transport model simulations for winter episodes. In this study, a process to assimilate MODIS satellite data into WRF and CAMx models was developed, streamlined, and tested to demonstrate the impacts of data assimilation on the models’ performance. Improvements to the WRF simulation of surface albedo and snow cover were substantial. However, the impact of MODIS data assimilation on WRF performance for other meteorological quantities was minimal, and it had little impact on ozone concentrations in the CAMx photochemical transport model. The contrast between the data assimilation and reference cases was greater for a period with no new snow since albedo appears to decrease too rapidly in default WRF and CAMx configurations. Overall, the improvement from MODIS data assimilation had an observed enhancement in the spatial distribution and temporal evolution of surface characteristics on meteorological quantities and ozone production.