bluuebunny/crossref_metadata_2025 huggingface dataset:
Characteristic of clinical trials related to traumatic brain injury registered on ClinicalTrials.gov over the past two decades (2004–2023)
Authors: Guo Ruili , Yang Qingya , Zhou Xuan , Li Shining , Liu Yao
Published: September 2024

Objective

The aim of this report is to provide a comprehensive overview of clinical trials and protocols related to traumatic brain injury over the past two decades.

Methods

We collected information on clinical trials related to traumatic brain injury (TBI) from the ClinicalTrials.gov database, identified key categorical variables, and assessed their characteristics.

Results

A total of 367 TBI-related trials were identified for analysis. All identified trials were interventional clinical trials. Most trials were small-scale, with 75.2% enrolling 1–100 participants, and only about 20% were funded by industry or the National Institutes of Health (NIH). In most trials, participants were gender-neutral (96.5%), and the primary age group was adults and older adults (56.9%). Of all identified TBI trials, 78.2% were randomized, and 69.4% were blinded. Additionally, the primary purpose of 297 trials (80.9%) was treatment, with drug therapy as the most common intervention. A total of 153 trials (41.7%) were completed; however, only 58 trials submitted results to the registry. Furthermore, 81 trials (22.1%) were discontinued early, primarily due to recruitment problems. Clinical trials started between 2004 and 2013 reported a higher proportion of results compared with those started between 2014 and 2023 (35.1% vs. 11.1%, p < 0.001). In addition, between 2014 and 2023, there was an increase in trials for diagnostic purposes (2.4% vs. 6.5%, p < 0.001).

Conclusion

Based on the data collected from the ClinicalTrials.gov, our study reveals that most clinical trials related to TBI focus on drug-related treatments, underreporting remains a significant concern, and greater emphasis should be placed on improving the publication and dissemination of clinical trial results.
Network pharmacology and molecular docking approach to elucidate the mechanisms of safflower, phellodendron, scutellaria baicalensis, coptis, and gardenia in hand–foot syndrome
Authors: Li Pengxing , Chen Lizhu , Liu Jianhui
Published: September 2024

Background

Safflower, phellodendron, scutellaria baicalensis, coptis, and gardenia (SPSCG) are medicinal plants with a wide range of anti-inflammatory and antioxidant effects. However, the related mechanism of SPSCG against hand-foot syndrome (HFS) has yet to be revealed.

Objective

To investigate the mechanisms of SPSCG in the treatment of HFS using the Network Pharmacology.

Methods

Active ingredients and targets of SPSCG for HFS were screened by the Chinese Medicine Systems Pharmacology (TCMSP) and Swiss Target Prediction databases. Potential therapeutic targets were collected from the GeneCards and OMIM databases. Subsequently, protein–protein interactions (PPI), Gene Ontology (GO) annotations, and pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to investigate the potential mechanism of the SPSCG in HFS. Then, molecular docking and molecular dynamics simulations were performed to predict the binding interactions between the active compound and the core target. Finally, vitro experiments were used to verify the repair effect of key ingredients of SPSCG on cell damage caused by 5-Fluorouracil.

Results

Quercetin, kaempferol, β-sitosterol, and stigmasterol were identified as the major active components of SPSCG. GO analysis showed a total of 1,127 biological processes, 42 terms cellular components, and 57 molecular functions. KEGG analysis showed that the MAPK, TNF, and IL-17 signaling pathways were significantly enriched. The PPI analysis discovered that EGFR, CASP3, AKT1, CCND1, and CTNNB1 shared the highest centrality among all target genes. The experimental results confirmed that these SPSCG active ingredients could treat HFS by reducing inflammation reaction and promoting cell damage repair.

Conclusion

SPSCG may alleviate HFS by exerting antioxidative effects and suppressing inflammatory responses.
Effect of Lactiplantibacillus plantarum cell-free culture on bacterial pathogens isolated from cystic fibrosis patients: in vitro and in vivo studies
Authors: Abán Carla Luciana , Orosco Silvia , Argañaraz Aybar Julio Nicolás , Albarracín Leonardo , Venecia Analía , Perret Liliana , Ortiz Mayor Sonia , Nishiyama Keita , Valdéz Juan Carlos , Kitazawa Haruki , Villena Julio , Gobbato Nadia
Published: September 2024

This study aimed to investigate the effects of the cell-free supernatant of Lactiplantibacillus plantarum ATCC® 10241TM on the biofilm-forming capacity of Pseudomonas aeruginosa strains isolated from cystic fibrosis (CF) patients. In addition, the study evaluated the in vivo potential of the cell-free supernatant to modulate inflammation and reduce lung damage in mice infected with P. aeruginosa strains or co-challenged with P. aeruginosa and the Streptococcus milleri group (SMG). The results showed that CF-derived P. aeruginosa strains can infect the respiratory tract of adult mice, inducing local inflammation and lung damage. The severity of these infections was exacerbated when P. aeruginosa was co-administered with SMG. Notably, nebulization with the cell-free supernatant of L. plantarum produced beneficial effects, reducing respiratory infection severity and inflammatory responses induced by P. aeruginosa, both alone or in combination with SMG. Reduced bacterial loads and lung damage were observed in supernatant-treated mice compared to controls. Although further mechanistic studies are necessary, the results show that the cell-free supernatant of L. plantarum ATCC® 10241TM is an interesting adjuvant alternative to treat P. aeruginosa respiratory infections and superinfections in CF patients.
Development of a visual detection method of porcine deltacoronavirus using loop-mediated isothermal amplification
Authors: Li Renfeng , Cao Wenyan , Yuan Jiakang , Li Linyue , Zhou Yanlin , Wang Fangyu , Wang Ziliang , Tian Xiangqin
Published: September 2024

The emergence of porcine deltacoronavirus (PDCoV) presents a significant threat to both human and animal health due to its ability to cause highly contagious enteric diseases. This underscores the crucial need for timely and accurate diagnosis to facilitate effective epidemiological investigation and clinical management. This research aimed to establish a visual detection method based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) for PDCoV testing. In this study, six pairs of primers were designed according to the conserved sequences of PDCoV ORF1a/b genes. The primer sets and parameters that affect LAMP reaction were optimized. The visual RT-LAMP method was developed by incorporating methyl red into the optimized reaction system, it exclusively detected PDCoV without cross-reactivity with other viruses and the detection limits for PDCoV could reach 10 copies/μL. In comparison with RT-PCR for testing 132 clinical samples, the relative specificity and sensitivity of the visual RT-LAMP were found to be 99.2 and 100%, respectively, with a concordance rate of 99.2% and a kappa value of 0.959, indicating that the visual RT-LAMP is a reliable method for the application of PDCoV detection in clinical samples.
Circadian gene signatures in the progression of obesity based on machine learning and Mendelian randomization analysis
Authors: Cheng Zhi’ang , Liu Binghong , Liu Xiaoyong
Published: September 2024

Objective

Obesity, a global health concern, is associated with a spectrum of chronic diseases and cancers. Our research sheds light on the regulatory role of circadian genes in obesity progression, providing insight into the immune landscape of obese patients, and introducing new avenues for therapeutic interventions.

Methods

Expression files of multiple datasets were retrieved from the GEO database. By 80 machine-learning algorithm combinations and Mendelian randomization analysis, we discovered the key circadian genes contributing to and protecting against obesity. Subsequently, an immune infiltration analysis was conducted to examine the alterations in immune cell types and their abundance in the body and to investigate the relationships between circadian genes and immune cells. Furthermore, we delved into the molecular mechanisms of key genes implicated in obesity.

Results

Our study identified three key circadian genes (BHLHE40, PPP1CB, and CSNK1E) associated with obesity. BHLHE40 was found to promote obesity through various pathways, while PPP1CB and CSNK1E counteracted lipid metabolism disorders, and modulated cytokines, immune receptors, T cells, and monocytes.

Conclusion

In conclusion, the key circadian genes (BHLHE40, CSNK1E, and PPP1CB) may serve as novel biomarkers for understanding obesity pathogenesis and have significant correlations with infiltrating immune cells, thus providing potential new targets for obese prevention and treatment.
Complete response to disitamab vedotin in HER2-low metastatic endometrial carcinoma: a case report and review of the literature
Authors: Feng Hu , Bi Shasha , Sun Shanshan , Yang Hongbo , Zhou Haoxing , Mao Jingjing , Li Na , Yang Fujun
Published: September 2024

Endometrial cancer (EC) is one of the most common gynecologic malignancies with increasing morbidity. The prognosis for patients diagnosed with early-stage EC remains favorable; however, for patients with recurrent or metastatic EC, the prognosis is poor and treatment options, until recently, are limited. Antibody drug conjugates (ADCs) represent innovative strategies in cancer treatment; however, there are less investigations regarding their efficacy in EC. This report describes an EC case with low human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) expression score (IHC 2+) that experienced recurrent metastasis in the abdominal and peritoneal following post-surgical chemotherapy and radiotherapy. Subsequently, the commencement of HER2-targeted ADC, disitamab vedotin (RC48; 2.5 mg/kg), administered intravenously every two weeks, was initiated. The tumor lesions shrunk markedly after three cycles of treatment and disappeared by the completion of ten cycles of therapy. The patient is still in remission at present. The current findings imply the potential efficacy of HER2-targeted ADCs for patients with HER2-low metastatic EC.
Survival outcomes in patients with de novo metastatic Merkel cell carcinoma according to site of metastases
Authors: Khaddour Karam , Liu Mofei , Kim Emily Y. , Bahar Furkan , Lôbo Matheus M. , Giobbie-Hurder Anita , Silk Ann W. , Thakuria Manisha
Published: September 2024

Introduction

Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine malignancy of the skin with a predilection for metastases. This study investigates the clinical outcomes in patients presenting with de novo Stage IV MCC according to the metastatic site(s) at presentation.

Materials and methods

Patients who presented with one or more sites of distant metastatic MCC at initial diagnosis between 2009 and 2023 were identified. The presence or absence of one or more metastases in each organ was categorized for each patient at the time of diagnosis. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. Competing risk analysis was used to estimate the cumulative occurrence risk of MCC-specific death. Fisher’s exact test was used for response rate analysis. Results were considered statically significant if p < 0.05.

Results

Thirty-four patients presented with de novo distant metastatic MCC. There was no association between the number of metastatic sites at diagnosis and OS (p= 0.58), PFS (p=0.79), or response rates (p=0.53). However, the presence of bone metastases was associated with significantly shorter OS (8.2 versus 25.2 months, HR: 2.4, 95% CI 1.01-5.7, p= 0.04). MCC-specific death in patients with lymph node metastases was significantly lower than in patients without (HR: 0.28, 95% CI: 0.09-0.87, p= 0.013). The presence of bone metastases tended to associate with an increased risk of MCC-specific death, although not statistically significant. The location of metastases was not associated with the response rate to first-line treatment. There was no significant association between site of metastases and PFS.

Conclusion

In this cohort of patients with de novo metastatic MCC, the presence of bone metastases, but not the number of organs involved, was associated with significantly worse OS. The presence of lymph node metastases was associated with lower MCC-specific death. Further research is warranted in larger cohorts to investigate the impact of the location of metastases on clinical outcomes.
Clinical efficacy of Fufang Yinhua Jiedu (FFYH) granules in mild COVID-19 and its anti-SARS-CoV-2 mechanism by blocking autophagy through inhibiting the AKT/mTOR signaling pathway
Authors: Wang Wenlei , Zheng Zhihui , Qi Xiaoyuan , Wei Hailin , Mao Xuhua , Su Qin , Chen Xiang , Feng Yan , Qiao Guohong , Ma Tieliang , Tang Zhian , Zhou Guangming , Zhuang Jinqiang , Zhang Pinghu
Published: September 2024

Background

Fufang Yinhua Jiedu (FFYH) granules are recommended for treating coronavirus pneumonia (COVID-19) in China. However, its anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) activity and clinical efficacy against COVID-19 remain to be confirmed.

Aims

Our study aimed to investigate the anti-SARS-CoV-2 effect and potential mechanism of FFYH.

Materials and Methods

The activity of FFYH against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was evaluated via cell pathogenic effects, immunoblotting, immunofluorescence staining, and qRT-PCR. The potential mechanism of FFYH against SARS-CoV-2 was investigated by immunoblotting. One head-to-head randomized controlled trial was designed to evaluate the clinical efficacy of FFYH in mild COVID-19. Two hundred patients were randomly recruited to receive either FFYH or LHQW (Lianhua Qingwen) granules.

Results

The in vitro results indicated that FFYH effectively inhibited SARS-CoV-2 replication by suppressing CPE and decreasing viral RNA and protein expression. A time-of-drug-addition assay confirmed that FFYH mainly targeted the binding and replication stages of the SARS-CoV-2 life cycle. Mechanistic studies revealed that blocking SARS-CoV-2-triggered autophagy may be the primary mechanism by which FFYH protects against SARS-CoV-2 infection by regulating the phosphatidylinositol 3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) signaling pathway. Clinical results confirmed that FFYH effectively shortened the recovery time of clinical symptoms and viral nucleic acid negativity, improved abnormal hematology parameters, and controlled excessive cytokine responses in mild COVID-19 patients. Subgroup analysis revealed that FFYH improved the recovery time of clinical symptoms, improved hematological parameters, and controlled excessive cytokine storms to a greater extent in the mild COVID-19 male subgroup, abnormal hematology subgroup, and 32–42-year-old subgroup than in the corresponding LHQW subgroup (P < 0.05). No patients progressed to severe or critical cases.

Conclusion

Our results indicate that FFYH not only has good anti-viral activity against SARS-CoV-2 but also has significant efficacy against COVID-19, indicating that FFYH may be a novel complementary option for treating COVID-19.
Stability optimization of energetic particle driven modes in nuclear fusion devices: the FAR3d gyro-fluid code
Authors: Varela J. , Spong D. , Garcia L. , Ghai Y. , Ortiz J. ,   FAR3d project collaborators
Published: September 2024

The development of reduced models provide efficient methods that can be used to perform short term experimental data analysis or narrow down the parametric range of more sophisticated numerical approaches. Reduced models are derived by simplifying the physics description with the goal of retaining only the essential ingredients required to reproduce the phenomena under study. This is the role of the gyro-fluid code FAR3d, dedicated to analyze the linear and nonlinear stability of Alfvén Eigenmodes (AE), Energetic Particle Modes (EPM) and magnetic-hydrodynamic modes as pressure gradient driven mode (PGDM) and current driven modes (CDM) in nuclear fusion devices. Such analysis is valuable for improving the plasma heating efficiency and confinement; this can enhance the overall device performance. The present review is dedicated to a description of the most important contributions of the FAR3d code in the field of energetic particles (EP) and AE/EPM stability. FAR3d is used to model and characterize the AE/EPM activity measured in fusion devices as LHD, JET, DIII-D, EAST, TJ-II and Heliotron J. In addition, the computational efficiency of FAR3d facilitates performing massive parametric studies leading to the identification of optimization trends with respect to the AE/EPM stability. This can aid in identifying operational regimes where AE/EPM activity is avoided or minimized. This technique is applied to the analysis of optimized configurations with respect to the thermal plasma parameters, magnetic field configuration, external actuators and the effect of multiple EP populations. In addition, the AE/EPM saturation phase is analyzed, taking into account both steady-state phases and bursting activity observed in LHD and DIII-D devices. The nonlinear calculations provide: the induced EP transport, the generation of zonal structures as well as the energy transfer towards the thermal plasma and between different toroidal/helical families. Finally, FAR3d is used to forecast the AE/EPM stability in operational scenarios of future devices as ITER, CFETR, JT60SA and CFQS as well as possible approaches to optimization with respect to variations in the most important plasma parameters.
Muscle-fiber specific genetic manipulation of Drosophila sallimus severely impacts neuromuscular development, morphology, and physiology
Authors: Michael Andrew H. , Hana Tadros A. , Mousa Veronika G. , Ormerod Kiel G.
Published: September 2024

The ability of skeletal muscles to contract is derived from the unique genes and proteins expressed within muscles, most notably myofilaments and elastic proteins. Here we investigated the role of the sallimus (sls) gene, which encodes a structural homologue of titin, in regulating development, structure, and function of Drosophila melanogaster. Knockdown of sls using RNA interference (RNAi) in all body-wall muscle fibers resulted in embryonic lethality. A screen for muscle-specific drivers revealed a Gal4 line that expresses in a single larval body wall muscle in each abdominal hemisegment. Disrupting sls expression in single muscle fibers did not impact egg or larval viability nor gross larval morphology but did significantly alter the morphology of individual muscle fibers. Ultrastructural analysis of individual muscles revealed significant changes in organization. Surprisingly, muscle-cell specific disruption of sls also severely impacted neuromuscular junction (NMJ) formation. The extent of motor-neuron (MN) innervation along disrupted muscles was significantly reduced along with the number of glutamatergic boutons, in MN-Is and MN-Ib. Electrophysiological recordings revealed a 40% reduction in excitatory junctional potentials correlating with the extent of motor neuron loss. Analysis of active zone (AZ) composition revealed changes in presynaptic scaffolding protein (brp) abundance, but no changes in postsynaptic glutamate receptors. Ultrastructural changes in muscle and NMJ development at these single muscle fibers were sufficient to lead to observable changes in neuromuscular transduction and ultimately, locomotory behavior. Collectively, the data demonstrate that sls mediates critical aspects of muscle and NMJ development and function, illuminating greater roles for sls/titin.
Identifying precondition configurations of mathematics anxiety among middle school students in China: using NCA and QCA approaches
Authors: Zhang Kai , Zhou Jinhua
Published: September 2024

Introduction

Addressing mathematics anxiety is important to ensure that students achieve good academic performance and maintain their mental health during the critical middle school period. However, previous studies have focused on the separate effects of the preconditions for mathematics anxiety, ignoring the interaction of factors. Therefore, this study aims to identify the determinants of mathematics anxiety from the perspective of complex systems via necessary condition analysis (NCA) and qualitative comparative analysis (QCA). To the best of our knowledge, this is the first study to identify configurations of preconditions of mathematics anxiety among middle school students.

Methods

A total of 183 middle school students aged 16 to 19 years (Mage = 17.47, SD = 0.89) in China participated in this cross-sectional study. The outcome variable of the study is mathematics anxiety, and the condition variables include mathematics grade, parental support, learning motivation, learning planning, and learning interest.

Results

The necessity condition analysis shows that not all the condition variables constitute the necessity condition of mathematics anxiety alone. Four paths for the influence of multiple condition variables on mathematics anxiety are identified via the configuration analysis. Notably, even students with high mathematics scores and learning interest still experience mathematics anxiety due to a lack of practical parental support and learning motivation. High levels of parental support can exacerbate the mathematics anxiety of students under two conditions: 1) a lack of learning motivation and learning plans, and 2) interest in learning but low mathematics scores and unclear learning plans.

Discussion

This study highlights the need to consider the comprehensive impact of mathematics anxiety, and the findings will help educators and researchers identify the different characteristics of mathematics anxiety in student populations.
Social media addiction and personality dimensions among Tunisian medical students
Authors: Guermazi Fatma , Abid Wissal , Baati Imen , Cherif Farah , Mziou Emna , Mnif Dorra , Feki Ines , Masmoudi Rim , Masmoudi Jawaher
Published: September 2024

Purpose

Social media (SM) has become a common activity for today’s young people. It is sometimes overused and potentially results in SM addiction. This study aims to assess SM addiction and its associated factors in medical students and to examine its relationship with dimensions of personality global self-esteem, and social self-esteem.

Materials and methods

We carried out a cross-sectional study among a sample of medical students in the region of Sfax in Tunisia. Social Media Addiction Scale-Student Form (SMAS-SF), Big Five Inventory, Rosenberg Self-Esteem Scale, and Social Self-Esteem Inventory were used to collect data.

Results

Overall, 116 medical students were included in the survey. The median age of the participants was 26 years, and 91 students (78.4%) were female. Almost half of them (55.20%) were enrolled in the third cycle. The most widely used SM was Facebook (98.3%). Students with the highest SMAS-SF scores had a significantly younger age of first use (p=0.011, r=-0.235), spent more time on their favorite SM (p=0.005, r=0.260), and performed more activities on SM, namely: making comments (p=0.005), browsing SM profiles (p=0.018), and posting videos (p=0.007) or pictures (p=0.002). The need to establish an identity was significantly associated with higher SMAS-SF scores (p=0.011). We also found that neuroticism and a low level of conscientiousness were linked to high SMAS-SF scores (p=0.006, r=0.252 and p=0.050, r=-0.183, respectively). Moreover, high SMAS-SF scores were significantly related to lower global and social self-esteem scores (p=0.015, r=-0.226 and p=0.032, r=-0.199, respectively).

Conclusion

Our results highlight the critical need to take into consideration the evaluation and intervention of self-esteem and personality dimensional issues to target interventions for SM addiction among medical students.
Revisiting the hospital-issued gown in hospitalizations from a locus of control and patient-centered care perspectives: a call for design thinking
Authors: Gabay Gillie , Ornoy Hana
Published: September 2024

Introduction

Patient-centered care (PCC) is the preferred health policy approach that emphasizes responding to individual patient preferences, wishes, and needs. PCC requires active patient engagement. While there has been extensive research on physicians' robes, there is limited research on hospital-issued patient gowns during hospitalizations. How does the gown affect the cognitive–emotional experience of hospitalized patients? How is the gown associated with PCC?

Methods

The sample of this cross-sectional study consisted of 965 patients who were hospitalized at least once during the past year in a tertiary hospital. Measures were previously published.

Results

The gown was strongly associated with lack of control and increased distress, and was negatively associated with patient proactiveness, engagement, and taking responsibility for self-management of chronic illness. Compared to male patients, female patients wearing the gown had stronger negative emotions and cognitively strong associations with the external locus of control, which inhibited engagement.

Discussion

The hospital gown is an unacknowledged barrier to achieving PCC, inhibits patient engagement, and reflects the paradoxes of inadvertently excluding patients' needs from hospital practice. The hospital gown must be modified to protect the patient's voice and enhance engagement. Policymakers are called to apply design thinking to facilitate patient participation in decision-making to accord hospital clothing to PCC and improve healthcare delivery.
Generation Rx: evaluation of medication misuse prevention education for older adults
Authors: Emptage Ruth E. , Lovatt Brittany S. , Sloan Cynthia D. , Li Junan , Downing Molly N. , Summers Katherine E.
Published: September 2024

Objective

Increased medication misuse over the last two decades has prompted extensive discussion about the lack of evidence-based and evidence-informed prevention education programs targeting the topic. As older adults are high utilizers of medications, this is an important population to reach with such educational programming. This study was designed to assess the change in knowledge and behavioral intentions of older adult participants after attending an educational session focused on safe medication use utilizing the Generation Rx Older Adult Toolkit (GROAT) resources.

Methods

The Generation Rx team at The Ohio State University College of Pharmacy (OSU COP) partnered with The Ohio State University Extension offices (OSU Extension) across the state of Ohio to provide GROAT educational programming in their communities. OSU Extension Educators were trained via the standardized virtual training program, Generation Rx Ambassadors. Program participants were surveyed immediately before and after the educational events. Pre- and post-survey data was then analyzed to assess knowledge gain and behavioral intentions about safe medication practices, as well as program perception and program satisfaction.

Results

Programming occurred between May 2022 and September 2022. In total, OSU Extension Educators collectively engaged 843 individuals in a prevention education program utilizing the GROAT materials. After excluding participants under 50 years of age, there were 297 pre surveys and 245 post surveys included in the data analysis. Knowledge gains from pre- to post-survey showed a significant increase in correct responses in seven of the eight questions asked regarding safe medication practices. All five questions evaluating behavioral intentions demonstrated positive results after the programming (p < 0.001). Participants’ perceptions and program satisfaction were also favorable.

Conclusion

This study found through pre- and post-survey results that the Generation Rx Older Adult Toolkit programming delivered by Generation Rx trained OSU Extension Educators significantly increased older adult participants’ knowledge and favorably impacted behavioral intentions around safe medication use practices.
Development and validation of the Upstream Social Interaction Risk Scale (U-SIRS-13): a scale to assess threats to social connectedness among older adults
Authors: Smith Matthew Lee , Barrett Matthew E.
Published: September 2024

Background

Social interactions are essential to social connectedness among older adults. While many scales have been developed to measure various aspects of social connectedness, most are narrow in scope, which may not be optimally encompassing, practical, or relevant for use with older adults across clinical and community settings. Efforts are needed to create more sensitive scales that can identify “upstream risk,” which may facilitate timey referral and/or intervention.

Objective

The purposes of this study were to: (1) develop and validate a brief scale to measure threats to social connectedness among older adults in the context of their social interactions; and (2) offer practical scoring and implementation recommendations for utilization in research and practice contexts.

Methods

A sequential process was used to develop the initial instrument used in this study, which was then methodologically reduced to create a brief 13-item scale. Relevant, existing scales and measures were identified and compiled, which were then critically assessed by a combination of research and practice experts to optimize the pool of relevant items that assess threats to social connectedness while reducing potential redundancies. Then, a national sample of 4,082 older adults ages 60 years and older completed a web-based questionnaire containing the initial 36 items about social connection. Several data analysis methods were applied to assess the underlying dimensionality of the data and construct measures of different factors related to risk, including item response theory (IRT) modeling, clustering techniques, and structural equation modeling (SEM).

Results

IRT modeling reduced the initial 36 items to create the 13-item Upstream Social Interaction Risk Scale (U-SIRS-13) with strong model fit. The dimensionality assessment using different clustering algorithms supported a 2-factor solution to classify risk. The SEM predicting highest risk items fit exceptionally well (RMSEA = 0.048; CFI = 0.954). For the 13-item scale, theta scores generated from IRT were strongly correlated with the summed count of items binarily identifying risk (r = 0.896, p < 0.001), thus supporting the use of practical scoring techniques for research and practice (Cronbach’s alpha = 0.80).

Conclusion

The U-SIRS-13 is a multidimensional scale with strong face, content, and construct validity. Findings support its practical utility to identify threats to social connectedness among older adults posed by limited physical opportunities for social interactions and lacking emotional fulfillment from social interactions.
STEM-It-Yourself: Increasing Participation of Girls and Minorities in STEM
Authors: Grady Siobahn Day , Tucker Natalie , Lawson Christopher
Published: September 2024

Have you ever wondered why, when browsing the internet looking for scientists, technologists, engineers, or mathematicians, most of the results show men? Or have you ever wondered if there was someone out there who might look like you doing work in science, technology, engineering, and mathematics (STEM)? Our research aimed to better understand why STEM fields are not diverse in gender or race, and to empower the next generation of STEM leaders through a project called STEM-It-Yourself (SIY). Through SIY, we introduced middle school girls to women in STEM who are representative of the girls’ races. By hearing about the STEM journeys of the presenters, who were women, and Black, Indigenous, and people of Color (BIPOC), the girls participating in SIY could cultivate STEM identities, which could motivate them to stay in STEM and help diversify the STEM workforce.
Multi-scale processes of the Kelvin-Helmholtz instability at Earth’s magnetopause
Authors: Rice Rachel C. , Blasl K. A. , Nykyri Katariina , Kavosi Shiva , Sorathia Kareem A. , Liou Yu-Lun
Published: September 2024

The Kelvin-Helmholtz Instability (KHI) is a large scale convective instability which occurs anywhere the velocity shear between two fluids is large, such as Earth’s magnetopause where the fast flowing magnetosheath abuts the relatively stagnant outer magnetosphere. The KHI was initially believed to contribute only to energy and momentum transfer from the solar wind to the magnetosphere, but was eventually shown to support mass transport and plasma heating. Recent advancements in in-situ observational capabilities and high scale computer modeling have once again shifted our understanding of the KHI from a large scale process, to an active environment which connects the global and kinetic scales through a variety of multi-scale processes and phenomena. In this mini-review, we provide an update on the latest findings in Kelvin-Helmholtz (KH) related processes at kinetic scales and the effects of the global environment on KH development.
Case Report: Differences in self-selected pacing in 20, 40, and 60 ironman-distance triathlons: a case study
Authors: Knechtle Beat , Cuk Ivan , Andrade Marilia Santos , Nikolaidis Pantelis T. , Weiss Katja , Forte Pedro , Thuany Mabliny
Published: September 2024

Background

Triathletes are pushing their limits in multi-stage Ironman-distance triathlons. In the present case study, we investigated the pacing during 20, 40, and 60 Ironman-distance triathlons in 20, 40, and 60 days, respectively, of one professional IRONMAN® triathlete.

Case study

Event 1 (20 Ironman-distance triathlons in 20 days), Event 2 (40 Ironman-distance triathlons in 40 days), and Event 3 (60 Ironman-distance triathlons in 60 days) were analyzed by discipline (swimming, cycling, running, and overall event time), by Deca intervals (10 days of consecutive Ironman-distance triathlons) and additional data (sleep duration, body mass, heart rate in cycling and running). To test differences between Events and Deca intervals within the same discipline, T-tests (2 groups) or one-way ANOVAs (3 or more groups) were used.

Results

Swimming splits were fastest in Event 1, (ii) cycling and running splits were fastest in both Event 2 and 3, (iii) overall speed was fastest in Event 3, (iv) sleep duration increased during Event 2 but decreased in Event 3, (v) body mass decreased in Event 2, but increased in Event 3 and (vi) heart rate during cycling was similar in both Event 2 and 3. In contrast, heart rate during running was greater in Event 3.

Conclusion

In a professional IRONMAN® triathlete finishing 20, 40, and 60 Ironman-distance triathlons in 20, 40, and 60 days, respectively, split performances and both anthropometrical and physiological changes such as body mass and heart rate differed depending upon the duration of the events.
An Improved Air Health Index Based on Short-Term Cardiovascular Effects in Tianjin, China
Authors: Zhang Mengnan , Bai Yu , Hu Junyi , Ni Yang , Zeng Qiang
Published: September 2024

Objectives

To construct an improved air health index (AHI) based on cardiovascular years of life lost (YLL) in Tianjin and assess its utility.

Methods

We derived the exposure-response coefficients from time-series models and calculated the excess YLL (EYLL) for simultaneous exposure to air pollution and non-optimum temperature. The AHI was developed using the EYLL at the WHO 2021 Air Quality Guideline annual mean values and optimum temperature as a reference. We assessed the validity of AHI by comparing the correlations and model fit between the AHI, air quality health index (AQHI), and air quality index (AQI) with cause-specific YLLs.

Results

Each inter quartile range (IQR) increase in AHI was associated with 256.31 (95%CI: 183.05, 329.57), 150.34 (95%CI: 108.23, 192.46), 90.41 (95%CI: 64.80, 116.02) and 60.80 (95%CI:33.41, 88.18) person-year increments for non-accidental, cardiovascular, ischaemic, and cerebrovascular YLL, respectively. The AHI, in contrast to the AQHI and AQI, showed the strongest correlations with the risks of cause-specific YLLs, both in the total population and subpopulations.

Conclusion

The AHI based on cardiovascular YLL has a greater predictive ability for health risks.
Advanced Design and Implementation of a Biomimetic Humanoid Robotic Head Based on Vietnamese Anthropometry
Authors: Minh Trieu Nguyen , Thinh Nguyen Truong
Published: September 2024

In today’s society, robots are increasingly being developed and playing an important role in many fields of industry. Combined with advances in artificial intelligence, sensors, and design principles, these robots are becoming smarter, more flexible, and especially capable of interacting more naturally with humans. In that context, a comprehensive humanoid robot with human-like actions and emotions has been designed to move flexibly like a human, performing movements to simulate the movements of the human neck and head so that the robot can interact with the surrounding environment. The mechanical design of the emotional humanoid robot head focuses on the natural and flexible movement of human electric motors, including flexible suitable connections, precise motors, and feedback signals. The feedback control parts, such as the neck, eyes, eyebrows, and mouth, are especially combined with artificial skin to create a human-like appearance. This study aims to contribute to the field of biomimetic humanoid robotics by developing a comprehensive design for a humanoid robot head with human-like actions and emotions, as well as evaluating the effectiveness of the motor and feedback control system in simulating human behavior and emotional expression, thereby enhancing natural interaction between robots and humans. Experimental results from the survey showed that the behavioral simulation rate reached 94.72%, and the emotional expression rate was 91.50%.
Characterization of Wing Kinematics by Decoupling Joint Movement in the Pigeon
Authors: Shen Yishi , Zhang Shi , Huang Weimin , Shang Chengrui , Sun Tao , Shi Qing
Published: September 2024

Birds have remarkable flight capabilities due to their adaptive wing morphology. However, studying live birds is time-consuming and laborious, and obtaining information about the complete wingbeat cycle is difficult. To address this issue and provide a complete dataset, we recorded comprehensive motion capture wing trajectory data from five free-flying pigeons (Columba livia). Five key motion parameters are used to quantitatively characterize wing kinematics: flapping, sweeping, twisting, folding and bending. In addition, the forelimb skeleton is mapped using an open-chain three-bar mechanism model. By systematically evaluating the relationship of joint degrees of freedom (DOFs), we configured the model as a 3-DOF shoulder, 1-DOF elbow and 2-DOF wrist. Based on the correlation analysis between wingbeat kinematics and joint movement, we found that the strongly correlated shoulder and wrist roll within the stroke plane cause wing flap and bending. There is also a strong correlation between shoulder, elbow and wrist yaw out of the stroke plane, which causes wing sweep and fold. By simplifying the wing morphing, we developed three flapping wing robots, each with different DOFs inside and outside the stroke plane. This study provides insight into the design of flapping wing robots capable of mimicking the 3D wing motion of pigeons.
Exergy Flow as a Unifying Physical Quantity in Applying Dissipative Lagrangian Fluid Mechanics to Integrated Energy Systems
Authors: Xu Ke , Qi Yan , Sun Changlong , Ai Dengxin , Wang Jiaojiao , He Wenxue , Yang Fan , Ren Hechen
Published: September 2024

Highly integrated energy systems are on the rise due to increasing global demand. To capture the underlying physics of such interdisciplinary systems, we need a modern framework that unifies all forms of energy. Here, we apply modified Lagrangian mechanics to the description of multi-energy systems. Based on the minimum entropy production principle, we revisit fluid mechanics in the presence of both mechanical and thermal dissipations and propose using exergy flow as the unifying Lagrangian across different forms of energy. We illustrate our theoretical framework by modeling a one-dimensional system with coupled electricity and heat. We map the exergy loss rate in real space and obtain the total exergy changes. Under steady-state conditions, our theory agrees with the traditional formula but incorporates more physical considerations such as viscous dissipation. The integral form of our theory also allows us to go beyond steady-state calculations and visualize the local, time-dependent exergy flow density everywhere in the system. Expandable to a wide range of applications, our theoretical framework provides the basis for developing versatile models in integrated energy systems.
Coal Ash Triggers an Elevated Temperature Landfill Development: Lessons from the Bristol Virginia Solid Waste Landfill Neighboring Community
Authors: Patton Witt Reagan , Guzman Marcelo I.
Published: September 2024

Landfills for disposing of solid waste are designed, located, managed, and monitored facilities expected to comply with government regulations to prevent contamination of the surrounding environment. After the average life expectancy of a typical landfill (30 to 50 years), a large investment in the construction, operation, final closure, and 30-year monitoring of a new site is needed. In this case study, we provide a holistic explanation of the unexpected development of elevated temperature landfills (ETLFs), such as that in the city of Bristol (United States) on the border of the states of Virginia and Tennessee, including the initial role played by coal ash. Despite the increasing frequency of ETLF occurrence, there is limited knowledge available about their associated environmental problems. The study uses mixed (qualitative, quantitative, and mapping) methods to analyze (1) the levels of odoriferous reduced sulfur compounds, ammonia, and volatile organic compounds (VOCs) emitted, (2) the ratio of methane to carbon dioxide concentrations in five locations, which dropped from unity (normal landfill) to 0.565, (3) the location of gas well heads with gradients of elevated temperatures, and (4) the correlation of the filling rate (upward of ~12 m y−1) with depth for registered events depositing coal ash waste. The work identifies spatial patterns that support the conclusion that coal ash served as the initiator for an ETLF creation. The case of the city of Bristol constitutes an example of ETLFs with elevated temperatures above the regulatory United States Environmental Protection Agency (EPA) upper threshold (65 °C), having alongside low methane emissions, large production of leachate, land subsidence, and a large production of organic compounds. Such landfills suffer abnormal chemical reactions within the waste mass that reduce the life expectancy of the site. Residents in such communities suffer intolerable odors from fugitive emissions and poor air quality becomes prominent, affecting the well-being and economy of surrounding populations. Conclusive information available indicates that the Bristol landfill has been producing large amounts of leachate and hazardous gases under the high pressures and temperatures developed within the landfill. A lesson learned, which should be used to prevent this problem in the future, is that the early addition of coal ash into the landfill would have catalyzed the process of ETLF creation. The work considers the public health risks and socioeconomic problems of residents exposed to emissions from an ETLF and discusses the efforts needed to prevent further incidents in other locations.
Lactic Acid Bacterial Fermentation of Esterified Agave Fructans in Simulated Physicochemical Colon Conditions for Local Delivery of Encapsulated Drugs
Authors: Miramontes-Corona Carmen , Cetina-Corona Abraham , Macías-Rodríguez María Esther , Escalante Alfredo , Corona-González Rosa Isela , Toriz Guillermo
Published: September 2024

Understanding drug release in the colon is fundamental to developing efficient treatments for colon-related diseases, while unraveling the relationship between the colonic microbiota and excipients is crucial to unveiling the effect of biomaterials on the release of drugs. In this contribution, the bio-release of ibuprofen (encapsulated in acetylated and palmitoylated agave fructans) was evaluated by fermentation with lactic acid bacteria in simulated physicochemical (pH and temperature) colon conditions. It was observed that the size of the acyl chain (1 in acetyl and 15 in palmitoyl) was critical both in the growth of the microorganisms and in the release of the drug. For example, both the bacterial growth and the release of ibuprofen were more favored with acetylated fructan microspheres. Among the microorganisms evaluated, Bifidobacterium adolescentis and Lactobacillus brevis showed great potential as probiotics useful to release drugs from modified fructans. The production of short-chain fatty acids (lactic, acetic, and propionic acids) in the course of fermentations was also determined, since such molecules have a positive effect both on colon-related diseases and on the regulation of the intestinal microbiota. It was found that a higher concentration of acetate is related to a lower growth of bacteria and less release of ibuprofen.
Harnessing Packed-Bed Bioreactors’ Potential in Solid-State Fermentation: The Case of Beauveria bassiana Conidia Production
Authors: Sala Arnau , Artola Adriana , Barrena Raquel , Sánchez Antoni
Published: September 2024

The packed-bed bioreactor is among the most promising reactor configurations for solid-state fermentation. However, the bed thickness poses several limitations involving mass and energy transfer, heat generation, and the homogeneity of the material, hampering its development at the industrial scale. Fungi are among the most promising microorganisms used in this configuration; however, only polypropylene bags and trays are used at the industrial scale. In this work, Beauveria bassiana is used to demonstrate the potential of solid-state fermentation for conidia production. A scale-up from 0.5 L to 22 L is presented, starting with substrate selection, optimization via design of experiments and 22 L batches. The optimized parameters were 70% moisture, 6.5 × 106 conidia mL−1 inoculum concentration, 20 mL min−1 airflow, 25 °C; temperature, and 40 C/N ratio. After optimization, beer draff was chosen as the preferred substrate for scale-up. Air-filled porosity was found to be the key parameter in fungal solid-state fermentation scale-up, establishing values of around 80% as necessary for fungal conidia production when working in a 22 L packed-bed bioreactor. When compared with the tray bioreactor, the packed bed obtained higher conidia production due to its better use of the total reactor volume. Our study harnesses the potential of the packed-bed bioreactor and serves as a base for further scale-up to industrial scale.