bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging Design Thinking Methodologies to Overcome Innovation Challenges in Multidisciplinary Research and Practice: A Case Study Approach
Authors: Syafrony Andre
Published: July 2024

Innovation is a critical driver of progress, but multidisciplinary research and practice present unique challenges to innovation due to the diverse perspectives, priorities, and knowledge involved. Design thinking has emerged as a promising approach to overcome these challenges, providing a structured and collaborative framework that fosters creativity and iteration. However, little research has been conducted on the effectiveness of design thinking in multidisciplinary research and practice. The objectives of this study are to (1) assess the effectiveness of design thinking methodologies in fostering successful innovation in multidisciplinary research and practice, (2) identify the key factors that contribute to or hinder the successful application of design thinking in multidisciplinary contexts, and (3) develop a set of best practices for leveraging design thinking in multidisciplinary research and practice. This study will use a case study approach to investigate the application of design thinking in multidisciplinary research and practice. The case studies will be selected based on their level of multidisciplinary, complexity, and innovation challenges. Data will be collected through semi-structured interviews, observation, and document analysis. The data will be analyzed using thematic analysis and triangulation of data sources to ensure validity and reliability. This study is expected to contribute to the understanding of how design thinking methodologies can be leveraged to overcome innovation challenges in multidisciplinary research and practice. The study is also expected to provide insights into the factors that contribute to or hinder the successful application of design thinking in multidisciplinary contexts. Finally, the study will develop a set of best practices for leveraging design thinking in multidisciplinary research and practice that can guide future research and practice in this area. This study is significant because it addresses a critical gap in the literature on the application of design thinking in multidisciplinary research and practice. The study is also significant because it provides practical insights into how design thinking can be leveraged to overcome innovation challenges in multidisciplinary contexts, thereby promoting progress and the advancement of human well-being.
DANSK: Domain Generalization of Danish Named Entity Recognition
Authors: Enevoldsen Kenneth , Jessen Emil Trenckner , Baglini Rebekah
Published: July 2024

Named entity recognition is an important application within Danish NLP, essential within both industry and research. However, Danish NER is inhibited by a lack coverage across domains and entity types. As a consequence, no current models are capable of fine-grained named entity recognition, nor have they been evaluated for potential generalizability issues across datasets and domains. To alleviate these limitations, this paper introduces: 1) DANSK: a named entity dataset providing for high-granularity tagging as well as within-domain evaluation of models across a diverse set of domains; 2) and three generalizable models with fine-grained annotation available in DaCy 2.6.0; and 3) an evaluation of current state-of-the-art models’ ability to generalize across domains. The evaluation of existing and new models revealed notable performance discrepancies across domains, which should be addressed within the field. Shortcomings of the annotation quality of the dataset and its impact on model training and evaluation are also discussed. Despite these limitations, we advocate for the use of the new dataset DANSK alongside further work ongeneralizability within Danish NER.
Simulation study on the thermal effect of continuous laser heating quartz materials
Authors: Li Wei , Wu Jichuan , Li Yanglong , Wu Lingyuan , Fu Bo
Published: July 2024

The continuous development and application of laser technology, and the increasing energy and power of laser output have promoted the development of various types of laser optical systems. The optical components based on quartz materials are key components of high-power laser systems, and their quality directly affects the load capacity of the system. Due to the photothermal effect when the laser interacts with the quartz material and generates extremely high temperatures in a short period of time, it is impossible to experimentally solve the phenomena and physical mechanisms under extreme conditions. Therefore, it is very important to select a suitable method to investigate the thermal effect of intense laser interaction with quartz materials and explain the related physical mechanism. In this study, a three-dimensional quarter-symmetric laser heating quartz material geometry model by using nonlinear transient finite element method was established, and its transient temperature field distribution of the quartz material after being heated by a 1,064 nm continuous laser was investigated. In addition, the influence of different laser parameters (laser spot radius, heat flux and irradiation time), material parameters (material thickness, material absorption rate of laser) on the thermal effect of heating quartz material were also studied. When the laser heat flux is 20 W/cm2, the diameter of the laser spot is 10 cm, the irradiation time is 600 s and the thickness is 4 cm, the temperature after laser heating can reach 940.18°C, which is far lower than the melting point. In addition, the temperature maximum probes were set at the overall model, spot edge and rear surface respectively, and their temperature rise curves with time were obtained. It is also found that there is a significant hysteresis period for the rear surface temperature change of the quartz material compared with the overall temperature change due to heat conduction. Finally, the method proposed can also be applied to the laser heating of other non-transparent materials.
Short versions of the Basque MacArthur-Bates Communicative Development Inventories (children aged 8–50 months)
Authors: Ezeizabarrena Maria-José , Garcia Fernandez Iñaki , Murciano Aroa
Published: July 2024

This study provides a brief review of the adaptation of the short MacArthur-Bates Communicative Development Inventories (CDI) instruments into Basque. The study aims to provide the scientific community with several standardized instruments designed to measure the vocabulary size of young children (aged 8–50 months) who are learning Basque, a language spoken in Spain and France. Data from over 2,400 children, obtained using the Basque adaptations of the short CDI parental questionnaires, the BCDI-1s(hort), BCDI-2s, and BCDI-3, revealed the capacity of these instruments to identify the effect of age on the language development of preschool-age children exposed to this language, as has been attested in other (minority and non-minority) languages. The study also examined the effect size of age, sex, and language input. The results showed that sex had a null or very small effect on both lexical development and the rest of the scales, whereas the effect of language input increased as children grew older and was even stronger than the effect of age from 30 months onwards. These findings provide solid ground for discussing the relevance of various factors that affect young children's language acquisition.
Immersive learning platforms: analyzing virtual reality contribution to competence development in higher education—a systematic literature review
Authors: Cabrera-Duffaut Augusto , Pinto-Llorente Ana María , Iglesias-Rodríguez Ana
Published: July 2024

Background

This study evaluates the effectiveness and pedagogical integration of Virtual Reality (VR), exploring its application in various educational contexts. In this systematic literature review, the role of virtual reality in enhancing competency development within higher education is examined.

Methods

The search was conducted in two databases (Scopus and Web of Science) following the PRISMA method guidelines. Inclusion criteria were limited to studies that used virtual reality as a tool within the classroom, analyzing the competencies developed through its application.

Results

Out of the 1,671 articles retrieved, 61 full texts were selected for review, resulting in 27 academic articles published in the last five years. The findings highlight the capacity of virtual reality to foster interpersonal skills while simultaneously addressing the challenges of its integration.

Discussion

The adoption of Virtual Reality (VR) in higher education is notable for its immersive learning experiences. Despite VR’s significant contribution to education, its widespread integration faces challenges, including the high costs of VR technology and the lack of specialized educational software, which limits its accessibility across various academic disciplines.

Conclusion

The advent of global technological advancements has unveiled numerous opportunities within the educational sector, with VR emerging as a transformative technology that offers immersive learning experiences, propelling educational methodologies beyond traditional boundaries. Through this SLR, it becomes evident that the application of VR in education transcends mere knowledge transfer, facilitating the development of critical competencies.

Systematic review registration

http://bit.ly/3SyKPhv.
Efficiency improvement of wastewater treatment plants under the background of “double carbon”: a case study in Jiujiang city, China
Authors: Tao Rufa , Huang Yuling , Hui Erqing , Luo Huihuang , Wang Dianchang , Lv Pingyu
Published: July 2024

Wastewater treatment plants (WWTPs) play a crucial role in modern urban water environmental protection. However, they face challenges related to high operational costs and carbon emissions. This study focused on addressing these issues through an analysis of four urban WWTPs in Jiujiang city, China. The study involved comparing the size and processes of the plants, evaluating influent and effluent water quality, assessing energy consumption and chemical usage, and calculating both direct and indirect carbon emissions. The results demonstrated that the high operational costs and increased carbon emissions in these WWTPs were primarily attributed to low hydraulic loadings, low influent concentration, and high energy and chemical consumption. In response, three targeted scenarios were proposed to enhance the efficiency of the WWTPs and reduce carbon emissions. These scenarios involved adjusting the amount of wastewater imported into the WWTPs to meet the designed capacity, optimizing operating costs, or combining both approaches. Among the scenarios, Scenario 3 emerged as the most effective in terms of improving efficiency and reducing carbon emissions. The operational costs for WWTPs could be reduced in the range of 0.42–1.04 RMB/m3, representing a reduction rate of 35%–57%. Additionally, carbon emissions could be lowered from 15.02 to 598.85 gCO2e/m3, corresponding to a reduction of 2.91%–41.38%. Although Scenario 2 exhibited a lower carbon emission reduction of 14.8–316.33 gCO2e/m3, it was identified as the most feasible and easily implementable high-efficiency solution at present, with a reduction in operational costs ranging from 0.43 to 1.31 RMB/m3. To achieve zero energy consumption and zero carbon emissions in wastewater treatment in the future, it is recommended to undertake additional measures, such as enhancing dosing system accuracy, implementing tail gas collection, adopting photovoltaic power generation, implementing carbon sequestration techniques, and exploring wastewater heat source recycling. These findings provide valuable insights for optimizing the operational efficiency of urban WWTPs, reducing carbon emissions, and promoting sustainable wastewater treatment practices in Jiujiang city, China.
Seasonal sonic patterns reveal phenological phases (sonophases) associated with climate change in subarctic Alaska
Authors: Mullet Timothy C. , Farina Almo , Morton John M. , Wilhelm Sara R.
Published: July 2024

Given that ecosystems are composed of sounds created by geophysical events (e.g., wind, rain), animal behaviors (e.g., dawn songbird chorus), and human activities (e.g., tourism) that depend on seasonal climate conditions, the phenological patterns of a soundscape could be coupled with long-term weather station data as a complimentary ecological indicator of climate change. We tested whether the seasonality of the soundscape coincided with common weather variables used to monitor climate. We recorded ambient sounds hourly for five minutes (01 January–30 June) over three years (2019–2021) near a weather station in a subarctic ecosystem in south-central Alaska. We quantified sonic information using the Acoustic Complexity Index (ACItf), coupled with weather data, and used machine learning (TreeNet) to identify sonic-climate relationships. We grouped ACItf according to time periods of prominent seasonal events (e.g., days with temperatures >0°C, no snow cover, green up, dawn biophony, and road-based tourism) and identified distinct sonic phenophases (sonophases) for groups with non-overlapping 95% confidence intervals. In general, sonic activity increased dramatically as winter transitioned to spring and summer. We identified two winter sonophases, a spring sonophase, and a summer sonophase, each coinciding with hours of daylight, temperature, precipitation, snow cover, and the prevalence of animal and human activities. We discuss how sonophases and weather data combined serve as a multi-dimensional, systems-based approach to understanding the ecological effects of climate change in subarctic environments.
Co-Ability and embodied data: blurring the lines between human and nonhuman entities in an interconnected world
Authors: Dezso Renata
Published: July 2024

This article explores the dynamic interplay between human and non-human entities, focusing on how embodied data representation is distributed. It examines how predictive coding, which utilizes preconceived knowledge, interacts with tangible experiences to shape our understanding of the world. Emphasizing this, I propose the concept of co-Ability as a deep underlying explanatory framework for understanding adaptive behaviors within a networked world. A non-verbal dialog between humans and a data-saturated environment is analyzed through an action-oriented perspective and the predictive coding framework in cognition, utilizing digital craft and rapid prototyping. This transformative approach augments human interaction with digital landscapes through tangible prototypes, bridging physical experience with abstract information, and identifying potential ways to conceptualize data materially. The article discusses the various aspects of connectivity among network agents and the evolving nature of these connections as they adapt to real-world conditions and dynamic shifts in data, highlighting that information exchange in an interconnected network is more than bilateral; it generates ripple effects that extend beyond immediate connections. These reciprocal exchanges simultaneously alter both the digital and analog domains, with data constantly bifurcating into multiple pathways and outcomes. A significant challenge addressed in this article is the question of how to frame information materially, inviting further exploration.
Deciphering the immune-metabolic nexus in sepsis: a single-cell sequencing analysis of neutrophil heterogeneity and risk stratification
Authors: Jin Shaoxiong , Zhang Huazhi , Lin Qingjiang , Yang Jinfeng , Zeng Rongyao , Xu Zebo , Sun Wendong
Published: July 2024

Background

Metabolic dysregulation following sepsis can significantly compromise patient prognosis by altering immune-inflammatory responses. Despite its clinical relevance, the exact mechanisms of this perturbation are not yet fully understood.

Methods

Single-cell RNA sequencing (scRNA-seq) was utilized to map the immune cell landscape and its association with metabolic pathways during sepsis. This study employed cell-cell interaction and phenotype profiling from scRNA-seq data, along with pseudotime trajectory analysis, to investigate neutrophil differentiation and heterogeneity. By integrating scRNA-seq with Weighted Gene Co-expression Network Analysis (WGCNA) and machine learning techniques, key genes were identified. These genes were used to develop and validate a risk score model and nomogram, with their efficacy confirmed through Receiver Operating Characteristic (ROC) curve analysis. The model’s practicality was further reinforced through enrichment and immune characteristic studies based on the risk score and in vivo validation of a critical gene associated with sepsis.

Results

The complex immune landscape and neutrophil roles in metabolic disturbances during sepsis were elucidated by our in-depth scRNA-seq analysis. Pronounced neutrophil interactions with diverse cell types were revealed in the analysis of intercellular communication, highlighting pathways that differentiate between proximal and core regions within atherosclerotic plaques. Insight into the evolution of neutrophil subpopulations and their differentiation within the plaque milieu was provided by pseudotime trajectory mappings. Diagnostic markers were identified with the assistance of machine learning, resulting in the discovery of PIM1, HIST1H1C, and IGSF6. The identification of these markers culminated in the development of the risk score model, which demonstrated remarkable precision in sepsis prognosis. The model’s capability to categorize patient profiles based on immune characteristics was confirmed, particularly in identifying individuals at high risk with suppressed immune cell activity and inflammatory responses. The role of PIM1 in modulating the immune-inflammatory response during sepsis was further confirmed through experimental validation, suggesting its potential as a therapeutic target.

Conclusion

The understanding of sepsis immunopathology is improved by this research, and new avenues are opened for novel prognostic and therapeutic approaches.
Multiple cerebral infarctions after intravenous immunoglobulin for Guillain–Barré syndrome: two case reports and review of the literature
Authors: Wang Weisen , Feng Chunhua , Liu Yanqun , Tao Yi , Bi Xiaoying , Hou Xiaojun
Published: July 2024

Background

Guillain–Barré syndrome (GBS) is a polyradiculoneuropathy mediated by the immune system and is the primary reason for acute flaccid paralysis. Intravenous immunoglobulin (IVIg) is a recognized immunotherapeutic drug that can accelerate recovery from GBS. Limited literature exists concerning cerebral infarction complications with IVIg following its use in the treatment of GBS.

Case presentation

A patient was diagnosed with the acute inflammatory demyelinating polyradiculoneuropathy subtype of GBS, while another patient was diagnosed with the acute bulbar palsy variant of GBS 2 years prior and experienced a relapse of GBS. Both patients received immunoglobulin therapy, during which multiple acute cerebral infarctions were detected using magnetic resonance imaging. Both patients had a history of coronary artery atherosclerotic heart disease and vertebral artery stenosis, and D-dimer and fibrinogen degradation products were significantly elevated after immunoglobulin therapy.

Conclusions

The risk of cerebral infarction associated with IVIg is generally low in patients with different GBS variants. Nevertheless, the occurrence of cerebral infarction associated with IVIg might not be insignificant in older patients with vascular risk factors and should be carefully monitored.
Signals from intestinal microbiota mediate the crosstalk between the lung-gut axis in an influenza infection mouse model
Authors: Zhang Yijia , Wan Youdi , Xin Xin , Qiao Yixuan , Qiao Wenna , Ping Jihui , Su Juan
Published: July 2024

Introduction

Introduction: The influenza virus primarily targets the respiratory tract, yet both the respiratory and intestinal systems suffer damage during infection. The connection between lung and intestinal damage remains unclear.

Methods

Our experiment employs 16S rRNA technology and Liquid Chromatography-Mass Spectrometry (LC-MS) to detect the impact of influenza virus infection on the fecal content and metabolites in mice. Additionally, it investigates the effect of influenza virus infection on intestinal damage and its underlying mechanisms through HE staining, Western blot, Q-PCR, and flow cytometry.

Results

Our study found that influenza virus infection caused significant damage to both the lungs and intestines, with the virus detected exclusively in the lungs. Antibiotic treatment worsened the severity of lung and intestinal damage. Moreover, mRNA levels of Toll-like receptor 7 (TLR7) and Interferon-b (IFN-b) significantly increased in the lungs post-infection. Analysis of intestinal microbiota revealed notable shifts in composition after influenza infection, including increased Enterobacteriaceae and decreased Lactobacillaceae. Conversely, antibiotic treatment reduced microbial diversity, notably affecting Firmicutes, Proteobacteria, and Bacteroidetes. Metabolomics showed altered amino acid metabolism pathways due to influenza infection and antibiotics. Abnormal expression of indoleamine 2,3-dioxygenase 1 (IDO1) in the colon disrupted the balance between helper T17 cells (Th17) and regulatory T cells (Treg cells) in the intestine. Mice infected with the influenza virus and supplemented with tryptophan and Lactobacillus showed reduced lung and intestinal damage, decreased Enterobacteriaceae levels in the intestine, and decreased IDO1 activity.

Discussion

Overall, influenza infection caused damage to lung and intestinal tissues, disrupted intestinal microbiota and metabolites, and affected Th17/Treg balance. Antibiotic treatment exacerbated these effects. Supplementation with tryptophan and Lactobacillus improved lung and intestinal health, highlighting a new understanding of the lung-intestine connection in influenza-induced intestinal disease.
Groundwater level fluctuation caused by tide and groundwater pumping in coastal multi-layer aquifer system
Authors: Guo Qiaona , Liu Jinhui , Zhu Xufen , Dai Yunfeng
Published: July 2024

This paper considered the groundwater head fluctuation induced by tide and pumping in the coastal multi-layered aquifer system. The multi-layered aquifer system comprises an unconfined aquifer, an upper confined aquifer, and a lower confined aquifer. An aquiclude exists between each two aquifers. All the layers terminate at the coastline. The new analytical solutions describing groundwater head variation in the coastal multi-confined aquifer system are derived. Superposition principle and image methods are used for the derivation of the analytical solutions. Analytical solutions of different situations of without considering pumping, of without considering tidal effect, and of N-layered confined aquifers are also derived. The impacts of the parameters of the initial phase shift of tide, pumping rate, position of the pumping well, storage coefficient, and transmissivity on the groundwater head fluctuation are discussed. The analytical solutions are applied with application examples in fitting field observations and parameter estimations. The estimated values of the hydraulic conductivities in the upper and lower confined aquifers are within the range of the values obtained from the field experiments. The fitted results of the analytical solutions capture the main characteristics of groundwater head fluctuation affected by the tide and groundwater pumping. The study of groundwater head fluctuation in the coastal zone is helpful to understand the mechanism of seawater intrusion under the influence of tide and groundwater pumping.
Effects of dietary Silphium perfoliatum L. on the growth performance, immunity, intestinal health, and resistance against Nocardia seriolae of largemouth bass (Micropterus salmoides)
Authors: Tang Hao , Luo Sheng , Chen Jifeng , Zhou Qianjin , Yang Guanjun , Lu Jianfei , Chen Jiong
Published: July 2024

The present study was conducted to evaluate the effect of dietary Silphium perfoliatum L. on growth performance, immunity, intestinal health, and resistance against Nocardia seriolae of largemouth bass. Four dietary concentrations of S. perfoliatum L. were prepared: 0% (SPL0), 1% (SPL1), 2.5% (SPL2.5), and 5% (SPL5). After 60 d feeding, a challenge test was conducted by injecting N. seriolae intraperitoneally. The results showed that supplementing the diets with S. perfoliatum L. could promote the weight gain rate, specific growth rate, and feed intake. Meantime, S. perfoliatum L. could also enhance the activity of immune-related enzymes and improve the expression of immune-related genes in the liver. Compared to the control group, S. perfoliatum L. improved intestinal morphology and reduced the abundance of harmful bacteria in intestinal microbiota. Importantly, supplementing the diets with S. perfoliatum L. protected largemouth bass from N. seriolae infection, resulting in a relative percent survival (RPS) of 24% (SPL1), 31.99% (SPL2.5), and 43.99% (SPL5). In conclusion, the present study showed that S. perfoliatum L. could boost growth performance, enhance immunity, promote intestinal health, and improve the ability of largemouth bass against N. seriolae infection.
Evaluating the efficacy of microbial antagonists in inducing resistance, promoting growth, and providing biological control against powdery mildew in wheat
Authors: Choudaker Kariyappa R. , Singh Vaibhav Kumar , Kashyap Abhijeet Shankar , Patel Aakash V. , Sameriya Koshal K. , Yadav Dhananjay , Manzar Nazia , Kamil Deeba , Prasad Lakshman , Saharan M. S.
Published: July 2024

This study evaluates the biocontrol efficacy of three bacterial strains (Pseudomonas fluorescens DTPF-3, Bacillus amyloliquefaciens DTBA-11, and Bacillus subtilis DTBS-5) and two fungal strains (Trichoderma harzianum Pusa-5SD and Aspergillus niger An-27) antagonists, along with their combinations at varying doses (5.0, 7.5, and 10.0 g/kg of seeds), against wheat powdery mildew. The most effective dose (10 g/kg seeds) was further analyzed for its impact on induced resistance and plant growth promotion under greenhouse conditions. The study measured defense enzyme activities, biochemical changes, and post-infection plant growth metrics. All tested microbial antagonists at 10 g/kg significantly reduced PM severity, with B. subtilis strain DTBS-5 outperforming others in reducing PM severity and achieving the highest biocontrol efficacy. It was followed by B. amyloliquefaciens strain DTBA-11 and P. fluorescens strain DTPF-3, with the fungal antagonists showing no significant effect. Wheat crops treated with B. subtilis strain DTBS-5 exhibited substantial increases in defense-related enzyme activities and biochemicals, suggesting an induced resistance mechanism. The study found a 45% increase in peroxidase (POD) activity, a 50% increase in catalase (CAT) activity, a 30% increase in phenolic content, and a 25% increase in soluble protein content in the wheat plants treated with microbial antagonists. The study highlights the effectiveness of microbial antagonists, particularly B. subtilis strain DTBS-5, in managing wheat PM through biocontrol, induced resistance, and enhanced plant growth, offering a sustainable alternative to chemical treatments.
Radioactivity as a driver of bacterial community composition in naturally radioactive mineral springs in the French Massif Central
Authors: Holub Guillaume , Sergeant Claire , Bailly Céline , Beauger Aude , Breton Vincent , Chardon Patrick , Montavon Gilles , Vesvres Marie-Hélène , Mallet Clarisse
Published: July 2024

Some natural environments on Earth are characterised by high levels of radiation, including naturally radioelement enriched mineral springs in the French Massif Central. Therefore, naturally radioactive mineral springs are interesting ecosystems for understanding how bacterial populations in these springs have adapted to high levels of natural and chronic radioactivity over the very long term. The aim of this study was to analyse the bacterial communities of sediments from five naturally radioactive mineral springs in the French Massif Central, sampled in autumn 2019 and spring 2020, and to observe whether radionuclides, compared to other physicochemical parameters, are drivers of the bacterial community structuring in these extreme environments. Physicochemical measurements showed that two springs, Dourioux and Montagne had high radioelement concentrations/activities (uranium, thorium and radon). Analysis of the structure of the bacterial communities, by next generation sequencing based on 16S rRNA gene sequencing, showed that the presence of radionuclides in Dourioux and Montagne, did not lead to a reduction in bacterial diversity and richness compared to the other springs. However, Dourioux and Montagne were characterised by specific bacterial populations, whose presence correlates with the radioelement concentrations/activities measured in these springs. This suggests that radioelements could partly explain the structuring of bacterial communities in these springs. In addition, several of these operational taxonomic units (OTUs) specific to Dourioux and Montagne, mainly affiliated to Proteobacteria, Firmicutes, Acidobacteria, Actinobacteria, and Bacteroidetes, could be involved in the biogeochemistry of radionuclides through different mechanisms (biosorption, biomineralisation, bioaccumulation, and bioreduction), which would allow the development of other bacterial species sensitive to these metals/radioelements. In particular, the co-occurrence of sulphate and/or iron-reducing bacteria, capable of bioreducing uranium, with fermentative bacteria, releasing sources of organic carbons, reflects associations of bacteria with complementary functions that allow them to grow in this peculiar environment and maintain a high diversity in these extreme environments. This study has provided a better understanding of the structuring of bacterial communities exposed to ionising radiation for thousands of years in naturally radioactive environments.
Oligodendrocyte precursor cell-derived exosomes combined with cell therapy promote clinical recovery by immunomodulation and gliosis attenuation
Authors: Santos Sarah Ingrid Pinto , Ortiz-Peñuela Santiago José , de Paula Filho Alessandro , Tomiyama Ana Laura Midori Rossi , Coser Lilian de Oliveira , da Silveira Juliano Coelho , Martins Daniele dos Santos , Ciena Adriano Polican , de Oliveira Alexandre Leite Rodrigues , Ambrósio Carlos Eduardo
Published: July 2024

Multiple sclerosis is a chronic inflammatory disease of the central nervous system characterized by autoimmune destruction of the myelin sheath, leading to irreversible and progressive functional deficits in patients. Pre-clinical studies involving the use of neural stem cells (NSCs) have already demonstrated their potential in neuronal regeneration and remyelination. However, the exclusive application of cell therapy has not proved sufficient to achieve satisfactory therapeutic levels. Recognizing these limitations, there is a need to combine cell therapy with other adjuvant protocols. In this context, extracellular vesicles (EVs) can contribute to intercellular communication, stimulating the production of proteins and lipids associated with remyelination and providing trophic support to axons. This study aimed to evaluate the therapeutic efficacy of the combination of NSCs and EVs derived from oligodendrocyte precursor cells (OPCs) in an animal model of multiple sclerosis. OPCs were differentiated from NSCs and had their identity confirmed by gene expression analysis and immunocytochemistry. Exosomes were isolated by differential ultracentrifugation and characterized by Western, transmission electron microscopy and nanoparticle tracking analysis. Experimental therapy of C57BL/6 mice induced with experimental autoimmune encephalomyelitis (EAE) were grouped in control, treated with NSCs, treated with OPC-derived EVs and treated with a combination of both. The treatments were evaluated clinically using scores and body weight, microscopically using immunohistochemistry and immunological profile by flow cytometry. The animals showed significant clinical improvement and weight gain with the treatments. However, only the treatments involving EVs led to immune modulation, changing the profile from Th1 to Th2 lymphocytes. Fifteen days after treatment revealed a reduction in reactive microgliosis and astrogliosis in the groups treated with EVs. However, there was no reduction in demyelination. The results indicate the potential therapeutic use of OPC-derived EVs to attenuate inflammation and promote recovery in EAE, especially when combined with cell therapy.
Happiness, positive emotions, and subjective well-being in dementia
Authors: Miklitz Carolin , Fliessbach Klaus , McCormick Cornelia
Published: July 2024

Research on non-cognitive features of dementia traditionally focusses on neuropsychiatric symptoms and challenging behavior and thus on negative aspects of the disease. Despite the clinical observation that many patients frequently report subjective well-being and often express positive emotions there is only little research on the definition, measurement and determinants of subjective well-being and happiness in people living with dementia. Furthermore, the few studies there are, examined happiness using retrospective questionnaires and the accounts of relatives or caregivers. However, in dementia, the experiencing self becomes more significant since past and future thinking are fading into the background. Here, we review the relative scarce literature in this field, discuss different psychological constructs and their applicability for dementia research, and suggest methods for measuring the addressed constructs in people with dementia. In particular, we propose methodology to study happiness and positive emotions in the experienced moment of the participants using ecological momentary assessments (EMA). We believe that adequate measures of momentary subjective well-being might become an important outcome parameter in clinical dementia trials beyond the currently used quality of life measures.
Predictive value of preoperative ultrasonographic measurement of gastric morphology for the occurrence of postoperative nausea and vomiting among patients undergoing gynecological laparoscopic surgery
Authors: Qiu Weiji , Yin Jun , Liang Huazheng , Shi Qiqing , Liu Chang , Zhang Lina , Bai Gang , Chen Guozhong , Xiong Lize
Published: July 2024

Background

Pre-operative prediction of postoperative nausea and vomiting (PONV) is primarily based on the patient’s medical history. The predictive value of gastric morphological parameters observed on ultrasonography has not been comprehensively assessed.

Methods

A prospective observational study was conducted to evaluate the pre-operative ultrasonographic measurement of gastric morphology for predicting PONV. The gastric antrum of the participants was assessed using ultrasound before anesthesia, and the occurrence of PONV in the first 6 hours and during the 6–24 hours after surgery was reported. The main indicators included the thickness of the muscularis propria (TMP) and the cross-sectional area of the inner side of the muscularis propria (CSA-ISMP). These were recorded and analyzed. Logistic regression analysis was applied to identify factors for PONV.

Results

A total of 72 patients scheduled for elective gynecological laparoscopic surgery were investigated in the study. The pre-operative CSA-ISMP of patients with PONV in the first 6 hours was significantly greater than that of those without PONV (2.765 ± 0.865 cm² vs 2.349 ± 0.881 cm², P=0.0308), with an area under the curve of 0.648 (95% CI, 0.518 to 0.778, P=0.031). Conversely, the pre-operative TMP of patients with PONV during the 6–24 hours was significantly smaller than that of those without PONV (1.530 ± 0.473 mm vs 2.038 ± 0.707 mm, P=0.0021), with an area under the curve of 0.722 (95% CI, 0.602 to 0.842, P=0.003). Logistic regression analysis confirmed that CSA-ISMP was an independent risk factor for PONV in the first 6 hours (OR=2.986, P=0.038), and TMP was an independent protective factor for PONV during the 6–24 hours after surgery (OR=0.115, P=0.006).

Conclusion

Patients with a larger pre-operative CSA-ISMP or a thinner TMP are prone to develop PONV in the first 6 hours or during the 6–24 hours after surgery, respectively.

China clinical trial registration center

http://www.chictr.org.cn (ChiCTR2100055068).
Co-producing research study recruitment strategies with and for children and young people for paediatric chronic pain studies
Authors: Ghio Daniela , Lunt Laura E. , Bridges Angharad , Gahr Lydia , Hood Anna M.
Published: July 2024

Introduction

Children and young people experiencing chronic pain are at greater risk of inequitable and poor-quality pain management, which has implications for future management of pain in adulthood. Most chronic pain research is conducted with adults who are more likely to be middle-class, white and monocultured. Inclusive and diverse recruitment practices in paediatric pain research can be an area in which we can address this imbalance of representation. The aim of this current work was to explore these practices and to co-produce recommendations regarding recruitment strategies for paediatric pain research.

Methods

The research team worked with Your Rheum, a United Kingdom young person's advisory group (ages 11–24 years) and diagnosed with rheumatic condition(s), the opportunity to input into rheumatology research. At a virtual Your Rheum meeting, eight young people (female = 7, male = 1, age range 12–24) took part in group discussions, sharing their experiences of taking part in research and their decision process. Online tools, including Mentimeter and Miro, were used to aid conversations and share ideas.

Results

Most young people had experience of taking part in research as a study participant (n = 5). Recommendations synthesised included increased awareness of research in general. The young people discussed being open to hearing about research opportunities; they reflected that they are rarely exposed to these invitations or hear about current research. The clinic environment was highlighted as a “good and trustworthy” recruitment area – being approached by a member of the research team was considered ideal, even if it was someone they had not met previously. Many young people recalled little discussions of research at their clinical appointments. Deciding to participate in research included the following considerations: benefit/impact; connecting with others; research topic; which is then balanced against convenience, and reimbursement. The young people felt that taking part in research was empowering and helped them take ownership of their pain management.

Conclusion

It is essential to understand the perspectives of potential study participants, to plan successful recruitment strategies. Ensuring we consider these factors when designing our studies and recruitment strategies is beneficial to all involved. Co-produced recruitment strategies would aid inclusive (and increased) research participation.
Intra-articular corticosteroid utilization and characterizations of use in juvenile idiopathic arthritis within the PR-COIN registry
Authors: Balay-Dustrude Erin , Weiss Jennifer E. , Goh Y. Ingrid , Rubin Nathan , Bullock Danielle R.
Published: July 2024

Objective

Intra-articular corticosteroid injections (IACI) have been shown to be effective at improving arthritis across juvenile idiopathic arthritis (JIA) categories. The American College of Rheumatology (ACR) recommends IACI use as primary and adjunctive therapy for JIA patients. However, there remains minimal data describing actual IACI use in North America. The objective of this study was to describe and to evaluate IACI use in JIA, utilizing the Pediatric Rheumatology Care and Outcomes Improvement Network (PR-COIN) registry.

Methods

Study participants from 13 sites were enrolled in the PR-COIN registry from 2011 to 2015. Demographic and clinical variables were summarized and Chi-squared and t-tests were used to evaluate differences between participants who did or did not receive IACI. Multiple logistic regression models were used to evaluate characteristics associated with IACI treatment.

Results

Our study included 3,241 participants, the majority of whom were white (85%), female (71%) and had oligoarticular JIA (39%). IACI was administered at least once in 23% of participants, the majority of whom had oligoarticular disease (52.5%), but overall use in oligoarticular participants was low at 30.8%. IACI use varied significantly between treatment centers and use was associated with oligoarticular disease, ANA positivity, and use of other systemic medications.

Conclusion

This study demonstrates that participants with JIA enrolled in the PR-COIN registry between 2011 and 2015 with persistent oligoarticular disease, ANA positivity, and use of other systemic medications were more likely to receive IACI. However, IACI use was lower than expected for oligoarticular participants.
Role and regulators of N6-methyladenosine (m6A) RNA methylation in inflammatory subtypes of asthma: a comprehensive review
Authors: Gao Ge , Hao Yu Qiu , Wang Chen , Gao Peng
Published: July 2024

Asthma is a common chronic inflammatory disease of the lungs and airway, yet its inflammatory subtypes and potential pathogenesis have not been completely elucidated and require further study. With advances in epigenetic development, methylation has emerged as a new direction for identifying and decoding the occurrence and subtype manifestations of asthma. N6-methyladenosine (m6A), an RNA methylation modification occurring in the N6-position of adenosine, is a prevalent epigenetic modification observed in eukaryotes. It exerts significant control over mRNA metabolism by regulating alternative splicing, stability, export, and translation. The dynamic process of m6A methylation plays a crucial role in the pathogenesis of asthma and is tightly regulated by three types of regulators: writers, readers, and erasers. This article provides a comprehensive review of the association between m6A regulators and the pathogenesis of inflammatory subtypes of asthma, such as involvement of inflammatory cells and related inflammatory response. Furthermore, the findings presented herein provide new insights and a solid foundation for further research on m6A mRNA methylation as biomarkers for the diagnosis and development of personalized treatment for different subtypes of asthma, particularly neutrophilic asthma and eosinophilic asthma.
Residual stress determination in a C-C composite consisting of a carbonized elastomer matrix filled with graphite, carbon black and short carbon fibers
Authors: Statnik Eugene S. , Ignatyev Semen D. , Salimon Alexey I. , Stepashkin Andrey A. , Korsunsky Alexander M.
Published: July 2024

In this study, composites obtained through low-temperature carbonization of elastomeric matrix highly filled with graphite, carbon black and short carbon fibers were studied for the purpose of determining residual stresses at different scales using a combination of several complementary methods. The state-of-the-art techniques included X-ray stress analysis using the sin2⁡ψ method, the micro-ring-core technique via Focused Ion Beam milling and Digital Image Correlation (FIB-DIC), the contour method, the strain gauge method, and the hole drilling technique with digital laser speckle pattern interferometry (DLSPI). It was found that the contour method could not be used implemented for residual stress evaluation due to the low electrical conductivity of composite. Moreover, the DLSPI hole drilling method did not reveal any fringes indicating significant residual stress level exceeding a few MPa. The strain gauge method also revealed a narrow residual stress distribution with an average value of approximately zero. In contrast, the X-ray sin2⁡ψ method as well as FIB-DIC technique both returned values of about 150–250 MPa. A hierarchical model of the composite is proposed based on the Davidenkov Type I–II–III stress classification that provides an explanation of these observations.
The effects of ACSM-based exercise on breast cancer-related lymphoedema: a systematic review and meta-analysis
Authors: Luan Biqing , Li Zhiqiang , Yang Qizhi , Xu Zhihui , Chen Yaqin , Wang Meiting , Chen Wenlin , Ge Fei
Published: July 2024

Background

Breast cancer-related lymphedema (BCRL) frequently occurs after axillary lymph node dissection and remains incurable even with lymphaticovenular anastomosis. Exercise interventions have emerged as a potential non-pharmacological management approach. However, standardized exercise recommendations tailored to BCRL patients are lacking.

Purpose

This study evaluated the impact of high and low compliance exercise interventions, aligned with ACSM recommendations, on quality of life (QOL), shoulder range of motion (ROM), and arm volume in BCRL patients. It further aimed to determine the optimal exercise dosage, assessed via the FITT (frequency, intensity, time, type) principle, that maximizes health benefits for BCRL patients.

Methods

Adhering to the PRISMA guidelines for systematic reviews and meta-analyses, we conducted a comprehensive literature search in various databases, including PubMed, Embase, Cochrane Library, and Web of Science, encompassing the period from the inception of these databases to December 2023. We extracted data on exercise form, frequency, intensity, duration, repetitions, and sets from the identified studies. Subsequently, a meta-analysis and review were conducted. The exercise interventions were evaluated based on ACSM recommendations and categorized as either high or low compliance with ACSM standards. Fixed or random effects models were employed to compare outcomes across study subgroups with comparable results. Additionally, funnel plot analyses, sensitivity analyses, and Egger’s and Begg’s tests were conducted to evaluate the potential for bias.

Results

15 studies encompassing 863 patients with BCRL were analyzed. Eleven studies exhibited high ACSM compliance, while four demonstrated low ACSM compliance. Regarding QOL, the overall standard mean difference (SMD) was 0.13 (95% CI: −1.07, 1.33). Specifically, the SMD for the high-adherence subgroup was 0.91 (95% CI: 0.33, 1.49; p = 0.002). For ROM, the overall SMD was 1.21 (95% CI: −0.19, 2.61). For arm volume, the overall SMD was −0.06 (95% CI: −0.22, 0.10). QOL results differed significantly in the high-adherence subgroup, whereas no significant effect on ROM or arm volume was observed.

Conclusion

The study revealed significant QOL improvements in patients with high ACSM compliance, contrasted with those with low compliance. Conversely, no notable changes in ROM or arm volume were observed. Notably, the high adherence group tended to show better ROM during exercise and stable arm volume. Future research is needed to validate these findings.
The impact of retrotransposons on castor bean genomes
Authors: Kong Lin , Zhang Tingting , Ma Lei
Published: July 2024

Castor bean (Ricinus communis L.) is an important oil crop. However, the influence of transposable elements (TEs) on the dynamics of castor bean evolution awaits further investigation. This study explored the role of transposable elements in the genomes of wild castor bean accessions from Ethiopia (Rc039) and Kenya (WT05) as well as in the cultivated variety (Hale). The distribution and composition of repeat sequences in these three lineages exhibited relative consistency, collectively accounting for an average of 36.7% of the genomic sequences. Most TE families displayed consistent lengths and compositions across these lineages. The dynamics of TEs significantly differed from those of genes, showing a lower correlation between the two. Additionally, the distribution of TEs on chromosomes showed an inverse trend compared to genes. Furthermore, Hale may have originated from the ancestor of Rc039. The divergent evolutionary paths of TEs compared to genes indicate the crucial role of TEs in shaping castor bean genetics and evolution, providing insights into the fields of castor bean and plant genomics research.