bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating the internal erosion behavior and microscopic mechanisms of chemically stabilized soil: an experimental study
Authors: Zhang Buping , Zhu Xinghua , Tao Xuewen , Wang Mengkui , Asghar Aamir , Mi Guoliang
Published: August 2024

Introduction

Internal erosion triggered by water pipeline leaks seriously threatens the stability of the urban ground. Hangzhou, a city in Zhejiang Province, China, is facing critical challenges due to urban ground collapse (UGC) caused by internal erosion. However, there is a lack of research on the prevention of UGC by improving the internal erodibility of underground soil. Addressing this issue is of utmost importance to ensure the city’s stability and safety. This paper proposes to improve the internal erodibility of typical sandy silt soils with chemical stabilisers.

Methods

The effects of three chemical stabilisers, lignosulphonate (LS), lime (LI), and lignin fibre (LF), on the critical shear stress (τc) and erosion coefficient (kd) of sandy silt soils were investigated, which from Hangzhou, Zhejiang, China, by the hole erosion test (HET) at different mixing amounts and at different conservation times.

Results

The findings indicate that LF mainly improves the erosion resistance of sandy silt by increasing τc, and the maximum increase is 2.38 times; LI mainly improves the erosion resistance by decreasing kd, and the maximum decrease is 2.18 times. After adding LS, τc and kd did not change significantly. The scanning electron microscope (SEM) test revealed that the inclusion of LF led to the formation of larger agglomerates in the sandy silt soil. The microstructure of sandy silt soil remained dispersed even after adding LS. Various chemical stabilisers used to improve sandy silt soils exhibited distinct erosion mechanisms. Sandy silt soils improved with LF exfoliated into agglomerates, displaying high resistance to erosion. On the other hand, the sandy silt treated with LF still lacks a protective layer and shows minimal improvements in its ability to withstand erosion. In contrast, the LS-amended sandy silt remains stripped with individual soil particles with insignificant changes in erosion resistance.

Discussion

This study can provide a conceptual framework for choosing foundation treatment techniques in future urban development projects.
Inflammatory factors and risk of lung adenocarcinoma: a Mendelian randomization study mediated by blood metabolites
Authors: Ding Zheng , Chen Juan , Li Bohan , Ji Xinyu
Published: August 2024

Background

Lung adenocarcinoma (LUAD) is the most common type of lung cancer, and its pathogenesis remains not fully elucidated. Inflammation and metabolic dysregulation are considered to play crucial roles in LUAD development, but their causal relationships and specific mechanisms remain unclear.

Methods

This study employed a two-sample Mendelian randomization (MR) approach to systematically evaluate the causal associations between 91 circulating inflammatory factors, 1,400 serum metabolites, and LUAD. We utilized LUAD genome-wide association studies (GWAS) data from the FinnGen biobank and GWAS data of metabolites and inflammatory factors from the GWAS catalog to conduct two-sample MR analyses. For the identified key metabolites, we further used mediator MR to investigate their mediating effects in the influence of IL-17A on LUAD and explored potential mechanisms through protein-protein interaction and functional enrichment analyses.

Results

The MR analyses revealed that IL-17A (OR 0.78, 95%CI 0.62-0.99) was negatively associated with LUAD, while 71 metabolites were significantly associated with LUAD. Among them, ferulic acid 4-sulfate may play a crucial mediating role in the suppression of LUAD by IL-17A (OR 0.87, 95%CI 0.78-0.97). IL-17A may exert its anti-LUAD effects through extensive interactions with genes related to ferulic acid 4-sulfate metabolism (such as SULT1A1, CYP1A1, etc.), inhibiting oxidative stress and inflammatory responses, as well as downstream tumor-related pathways of ferulic acid 4-sulfate (such as MAPK, NF-κB, etc.).

Conclusion

This study discovered causal associations between IL-17A, multiple serum metabolites, and LUAD occurrence, revealing the key role of inflammatory and metabolic dysregulation in LUAD pathogenesis. Our findings provide new evidence-based medical support for specific inflammatory factors and metabolites as early predictive and risk assessment biomarkers for LUAD, offering important clues for subsequent mechanistic studies and precision medicine applications.
Carbon dioxide electrochemical reduction by copper nanoparticles/ionic liquid-based catalytic inks
Authors: Gazzano Valeria , Mardones-Herrera Elías , Sáez-Pizarro Natalia , Armijo Francisco , Martinez-Rojas Francisco , Ruiz-León Domingo , Honores Jessica , Isaacs Mauricio
Published: August 2024

The development of copper nanoparticle (CuNP)-based catalysts for the electrochemical reduction of carbon dioxide (ECO2-R) offers a promising approach to enhance its transformation into other industrially significant compounds. This study reports ECO2-R at −1.3 V vs RHE using CuNPs and catalytic inks composed of CuNPs and ionic liquids (ILs), observing significant differences in the selectivity of each catalyst. Specifically, CuNPs alone show a preference for producing ethylene and aqueous products, such as formic acid, ethanol, and formaldehyde. In contrast, the addition of ILs to the catalytic system redirects selectivity toward gaseous products, with methane being the main product. These findings highlight the potential to optimize catalyst composition to tailor the selectivity of CO2 conversion processes. ILs modify the catalytic environment and influence reaction pathways, enabling the selection of specific products.
Different polarization and functionality of CD4+ T helper subsets in people with post-COVID condition
Authors: Sánchez-Menéndez Clara , de la Calle-Jiménez Olivia , Mateos Elena , Vigón Lorena , Fuertes Daniel , Murciano Antón María Aranzazu , San José Esther , García-Gutiérrez Valentín , Cervero Miguel , Torres Montserrat , Coiras Mayte
Published: August 2024

Introduction

After mild COVID-19 that does not require hospitalization, some individuals develop persistent symptoms that may worsen over time, producing a multisystemic condition termed Post-COVID condition (PCC). Among other disorders, PCC is characterized by persistent changes in the immune system that may not be solved several months after COVID-19 diagnosis.

Methods

People with PCC were recruited to determine the distribution and functionality of CD4+ T helper (Th) subsets in comparison with individuals with mild, severe, and critical presentations of acute COVID-19 to evaluate their contribution as risk or protective factors for PCC.

Results

People with PCC showed low levels of Th1 cells, similar to individuals with severe and critical COVID-19, although these cells presented a higher capacity to express IFNγ in response to stimulation. Th2/Th1 correlation was negative in individuals with acute forms of COVID-19, but there was no significant Th2/Th1 correlation in people with PCC. Th2 cells from people with PCC presented high capacity to express IL-4 and IL-13, which are related to low ventilation and death associated with COVID-19. Levels of proinflammatory Th9 and Th17 subsets were significantly higher in people with PCC in comparison with acute COVID-19, being Th1/Th9 correlation negative in these individuals, which probably contributed to a more pro-inflammatory than antiviral scenario. Th17 cells from approximately 50% of individuals with PCC had no capacity to express IL-17A and IL-22, similar to individuals with critical COVID-19, which would prevent clearing extracellular pathogens. Th2/Th17 correlation was positive in people with PCC, which in the absence of negative Th1/Th2 correlation could also contribute to the proinflammatory state. Finally, Th22 cells from most individuals with PCC had no capacity to express IL-13 or IL-22, which could increase tendency to reinfections due to impaired epithelial regeneration.

Discussion

People with PCC showed skewed polarization of CD4+ Th subsets with altered functionality that was more similar to individuals with severe and critical presentations of acute COVID-19 than to people who fully recovered from mild disease. New strategies aimed at reprogramming the immune response and redirecting CD4+ Th cell polarization may be necessary to reduce the proinflammatory environment characteristic of PCC.
Enrichment of novel CD3+F4/80+ cells in brown adipose tissue following adrenergic stimulation
Authors: Chae Hee-Don , Levi Jelena
Published: August 2024

Macrophages play a multifaceted role in maintaining tissue homeostasis, fighting infections, and regulating cold-induced thermogenesis. The brown adipose tissue (BAT) is crucial for maintaining body temperature during cold exposure. Cold stress triggers the sympathetic nervous system to release norepinephrine (NE), which activates BAT via β3-adrenergic receptors, initiating lipolysis and glycolysis. BAT-infiltrating macrophages can either hinder or enhance thermogenesis by controlling the interplay between BAT cells and sympathetic nerves. In this study we report on a unique population of CD3+F4/80+ dual lineage co-expressing (DE) cells within the interscapular BAT (iBAT), that increased following chronic adrenergic stimulation. In forward scatter/side scatter plots, they formed a cluster distinct from lymphocytes, appearing larger and more complex. These CD3+F4/80+ DE cells demonstrated the lack of T cell markers CD62L and TCRβ and expressed higher levels of Ly6C, F4/80, and CD11b markers compared to T cells and CD3- macrophages. Furthermore, analysis revealed two subpopulations within the CD3+F4/80+ DE population based on MHCII expression, with the proportion of MHCII-low subset increasing with adrenergic stimulation. This novel DE population within iBAT, unequivocally identified by the its unique surface marker profile, warrants further investigation into the intricate mechanisms governing adaptive thermogenesis regulation.
An assessment of gynecological manifestations in women with female genital schistosomiasis with reference to Schistosoma biomarkers, sexually transmitted infections and bacterial vaginosis
Authors: Randrianasolo Bodo Sahondra , Jøker Karoline , Arenholt Louise Thomsen Schmidt , Rabozakandraina Tiana Onintsoa Oliva , Ramarokoto Charles Emile , Brønnum Dorthe , Jensen Martin , Christensen Søren Lundbye , Jensen Jørgen Skov , Corstjens Paul , van Dam Govert J. , Kobayashi Noriko , Hamano Shinjiro , Leutscher Peter Derek Christian
Published: August 2024

Background

Although a variety of different gynecological manifestations have been reported in women with female genital schistosomiasis (FGS), causality remains to be established. This study aimed to evaluate the gynecological manifestations in women with FGS in accordance with the status of Schistosoma biomarkers, sexually transmitted infections (STIs), and bacterial vaginosis (BV).

Methods

The study was conducted in an endemic Schistosoma haematobium (Sh) area in northern Madagascar in conjunction with a randomized controlled trial investigating the effects and safety of a praziquantel repeated-dosing regimen for women with FGS-associated cervical lesions. Urogenital complaints, pelvic exam abnormalities, and cervical lesion types were assessed in relation to cervicovaginal Schistosoma DNA, circulating anodic antigen (CAA) in serum, and urinary Sh egg count, in addition to STIs and BV.

Results

Among the included 116 women with a median of 26 years (range 15 to 35), the distribution of Schistosoma DNA and CAA outcomes, specified as either positive (+) or negative (-), were as follows: +/+ (18.1%), +/- (0%), -/+ (58.6%), and -/- (23.3%). Of the three Schistosoma biomarkers, only Schistosoma DNA and the urogenital complaint of blood in the urine were significantly associated. None of the biomarkers were significantly associated with pelvic exam abnormalities or cervical lesions. Sixty women (52.6%) were diagnosed with STIs and/or BV. A positive status was not significantly associated with any of the gynecological manifestations, except BV and homogeneous yellow sandy patches.

Conclusion

It remains uncertain whether biomarkers such as cervicovaginal Schistosoma DNA, serum CAA, and Schistosoma eggs in urine adequately cover the full spectrum of gynecological manifestations reported in women with FGS, including urogenital complaints, pelvic exam abnormalities, and cervical lesions. Moreover, it seems difficult to determine the origin of the different manifestations due to the common co-existence of STIs and/or BV as potential confounders.
The effect of laparoscopic and abdominal surgery on the treatment of ectopic pregnancy: a systematic review and meta-analysis
Authors: Zhai Lin , Chen Yinping , Zhang Shengzhi
Published: August 2024

Objective

This study aimed to compare the efficacy of laparoscopic surgery (LS) and abdominal surgery (AS) in ectopic pregnancy surgery.

Methods

A computer-based search was conducted in several databases such as CNKI, Wanfang data, VIP data, Chinese Biomedical Literature Database (CBM disc), PubMed, Cochrane Library, Embase, and others to gather domestic and foreign literature on treating ectopic pregnancy. This search was carried out from the inception of each database to July 2022. The literature review was performed using Endnote X9 software, and the data were analyzed using STATA 15.1 software for the meta-analysis.

Results

Eight articles that met the inclusion criteria were included in the study. The meta-analysis showed that the laparoscopic group had shorter operation time than AS group [SMD = −1.28, 95%CI (−2.02, 0.54), p = 0.001], had less intraoperative bleeding [SMD = −3.06, 95%CI (−3.82, −2.31), p < 0.01], shorter postoperative anus exhaust time [SMD = −2.60, 95%CI (−3.26, −1.93), p < 0.01], and shorter hospital stay [SMD = −1.74, 95%CI (−2.09, −1.39), p < 0.01] with few complications [RR = 0.22, 95%CI (0.08, 0.55), p = 0.001].

Conclusion

LS has more evident advantages in the treatment of patients with ectopic pregnancy. However, due to the lack of English literature that meets the inclusion criteria, further studies are needed to determine if LS has the same efficacy for European and American populations.
Antimicrobial resistance patterns in Streptococcus dysgalactiae in a One Health perspective
Authors: Glambek Marte , Skrede Steinar , Sivertsen Audun , Kittang Bård Reiakvam , Kaci Alba , Jonassen Christine Monceyron , Jørgensen Hannah Joan ,   Norwegian Study Group on Streptococcus dysgalactiae, Oppegaard Oddvar
Published: August 2024

Background

Streptococcus dysgalactiae (SD) is an important pathogen in humans as well as in a broad range of animal species. Escalating rates of antibiotic resistance in SD has been reported in both human and veterinary clinical practice, but the dissemination of resistance determinants has so far never been examined in a One Health Perspective. We wanted to explore the occurrence of zoonotic transmission of SD and the potential for exchange of resistance traits between SD from different host populations.

Methods

We compared whole genome sequences and phenotypical antimicrobial susceptibility of 407 SD isolates, comprising all isolates obtained from human bloodstream infections in 2018 (n = 274) and available isolates associated with animal infections from the years 2018 and 2019 (n = 133) in Norway.

Results

Antimicrobial resistance genes were detected in 70 (26%), 9 (25%) and 2 (2%) of the isolates derived from humans, companion animals and livestock, respectively. Notably, distinct host associated genotypic resistomes were observed. The erm(A) gene was the dominant cause of erythromycin resistance in human associated isolates, whereas only erm(B) and lsa(C) were identified in SD isolates from animals. Moreover, the tetracycline resistance gene tet(O) was located on different mobile genetic elements in SD from humans and animals. Evidence of niche specialization was also evident in the phylogenetic analysis, as the isolates could be almost perfectly delineated in accordance with host species. Nevertheless, near identical mobile genetic elements were observed in four isolates from different host species including one human, implying potential transmission of antibiotic resistance between different environments.

Conclusion

We found a phylogenetic delineation of SD strains in line with host adapted populations and niche specialization. Direct transmission of strains or genetic elements carrying resistance genes between SD from different ecological niches appears to be rare in our geographical region.
Bridging minds and machines in Industry 5.0: neurobiological approach
Authors: Rueda-Castro Valentina , Azofeifa Jose Daniel , Chacon Julian , Caratozzolo Patricia
Published: August 2024

Introduction

In transitioning from Industry 4.0 to the forthcoming Industry 5.0, this research explores the fusion of the humanistic view and technological developments to redefine Continuing Engineering Education (CEE). Industry 5.0 introduces concepts like biomanufacturing and human-centricity, embodying the integration of sustainability and resiliency principles in CEE, thereby shaping the upskilling and reskilling initiatives for the future workforce. The interaction of sophisticated concepts such as Human-Machine Interface and Brain-Computer Interface (BCI) forms a conceptual bridge toward the approaching Fifth Industrial Revolution, allowing one to understand human beings and the impact of their biological development across diverse and changing workplace settings.

Methods

Our research is based on recent studies into Knowledge, Skills, and Abilities taxonomies, linking these elements with dynamic labor market profiles. This work intends to integrate a biometric perspective to conceptualize and describe how cognitive abilities could be represented by linking a Neuropsychological test and a biometric assessment. We administered the brief Neuropsychological Battery in Spanish (Neuropsi Breve). At the same time, 15 engineering students used the Emotiv insight device that allowed the EEG recollection to measure performance metrics such as attention, stress, engagement, and excitement.

Results

The findings of this research illustrate a methodology that allowed the first approach to the cognitive abilities of engineering students to be from neurobiological and behavioral perspectives. Additionally, two profiles were extracted from the results. The first illustrates the Neuropsi test areas, its most common mistakes, and its performance ratings regarding the students' sample. The second profile shows the interaction between the EEG and Neuropsi test, showing engineering students' cognitive and emotional states based on biometric levels.

Discussions

The study demonstrates the potential of integrating neurobiological assessment into engineering education, highlighting a significant advancement in addressing the skills requirements of Industry 5.0. The results suggest that obtaining a comprehensive understanding of students' cognitive abilities is possible, and educational interventions can be adapted by combining neuropsychological approaches with EEG data collection. In the future, it is essential to refine these evaluation methods further and explore their applicability in different engineering disciplines. Additionally, it is necessary to investigate the long-term impact of these methods on workforce preparation and performance.
Resting-state electroencephalogram in drug-free subjects with at-risk mental states who later developed psychosis: a low-resolution electromagnetic tomography analysis
Authors: Higuchi Yuko , Odagiri Shizuka , Tateno Takahiro , Suzuki Michio , Takahashi Tsutomu
Published: August 2024

Background and objectives

Several studies have reported on the resting-state electroencephalogram (EEG) power in patients with schizophrenia, with a decrease in α (especially α2) and an increase in δ and β1 power compared with healthy control; however, reports on at-risk mental states (ARMS) are few. In this study, we measured the resting-state EEG power in ARMS, and investigated its features and the relationship between the power of the frequency bands and their diagnostic outcomes.

Methods

Patients with ARMS who were not on any psychotropic medication and met the Comprehensive Assessment of At-Risk Mental State criteria were included. Patients who developed psychotic disorders were labeled as the ARMS-P group, while patients with ARMS who were followed up prospectively for more than 2 years and did not develop psychotic disorders were classified as the ARMS-NP group. EEGs were measured in the resting state, and frequencies were analyzed using standardized low-resolution brain electromagnetic tomography (sLORETA). Seven bands (δ, θ, α1, α2, β1–3) underwent analysis. The sLORETA values (current source density [CSD]) were compared between the ARMS-P and ARMS-NP groups. Clinical symptoms were assessed at the time of EEG measurements using the Positive and Negative Syndrome Scale (PANSS).

Results

Of the 39 patients included (25 males, 14 females, 18.8 ± 4.5 years old), eight developed psychotic disorders (ARMS-P). The ARMS-P group exhibited significantly higher CSD in the β1 power within areas of the left middle frontal gyrus (MFG) compared with the ARMS-NP group (best match: X = −35, Y = 25, Z = 50 [MNI coordinates], Area 8, CSD = 2.33, p < 0.05). There was a significant positive correlation between the β1/α ratio of the CSD at left MFG and the Somatic concern score measured by the PANSS.

Discussion

Increased β1 power was observed in the resting EEG before the onset of psychosis and correlated with a symptom. This suggests that resting EEG power may be a useful marker for predicting future conversion to psychosis and clinical symptoms in patients with ARMS.
Relationship of vegetarianism with body weight loss and ASCVD
Authors: Xu Yani , Yang Xuening , Yao Lina , Liu Yanping , Hao Panpan
Published: August 2024

Introduction

The association between a plant-based diet and weight loss and atherosclerotic cardiovascular disease (ASCVD) has not been fully elucidated. We performed a pooled analysis and Mendelian randomization (MR) analysis to investigate this question.

Methods

We searched for randomized controlled trials on the effects of a plant-based diet on weight loss compared with a non-plant-based diet. In addition, a two-sample MR study was conducted. IVs were obtained from the genome-wide association studies (GWAS) on the exposures, and we obtained summary statistics on the outcomes. The inverse-variance weighted (IVW) method was used as the main analysis and other MR methods were performed as supplementary analyses.

Results

Individuals on the plant-based diet lost more weight than the non-plant-based diet group (WMD −0.96 kg; 95% CI: −1.32 to −0.60). Population conditions and energy restriction were identified as the study-level factors that influenced the pooling results in the subgroup analyses. Increased consumption of raw vegetables was significantly associated with lower BMI (IVW, β −0.35, 95% CI: −0.62 to −0.08, p = 0.012) and lower risk of obesity (IVW, OR 0.11, 95% CI: 0.01 to 0.99, p = 0.048), coronary heart disease (IVW, OR 0.44, 95% CI: 0.21 to 0.92, p = 0.029) and myocardial infarction (IVW, OR 0.39,95% CI: 0.15 to 0.98, p = 0.045) and a higher HDL-C (IVW, β 0.47, 95% CI: 0.24 to 0.70, p = 4×10−5).

Discussion

The present findings suggest that raw vegetable intake is beneficial for weight loss and prevention of ASCVD.
Evolution of dirofilariasis diagnostic techniques from traditional morphological analysis to molecular-based techniques: a comprehensive review
Authors: Aththanayaka A.M.M.T.B. , Dayananda B.S.W.M.T.B. , Ranasinghe H.A.K. , Amarasinghe L.D.
Published: August 2024

Dirofilariasis, caused by the nematode Dirofilaria spp., poses significant challenges in diagnosis due to its diverse clinical manifestations and complex life cycle. This comprehensive literature review focuses on the evolution of diagnostic methodologies, spanning from traditional morphological analyses to modern emerging techniques in the context of dirofilariasis diagnosis. The review traces the historical progression of diagnostic modalities, encompassing traditional approaches such as microscopic examination, serological tests (including ELISA and IFA), radiographic imaging, ultrasonography, and necropsy, which laid the foundation for subsequent advancements. The integration of molecular diagnostics marks a significant turning point in dirofilariasis diagnosis with the adoption of polymerase chain reaction (PCR) assays and real-time PCR (qPCR) facilitating enhanced sensitivity and specificity. Furthermore, recent strides in next-generation sequencing (NGS) technologies, including whole–genome sequencing (WGS), targeted sequencing (TS), metagenomic sequencing (MS), and RNA sequencing (transcriptome sequencing), have revolutionized the landscape of dirofilariasis diagnostics. Emerging techniques such as loop-mediated isothermal amplification (LAMP), digital PCR (dPCR), and digital microfluidics are also explored for their potential to augment diagnostic accuracy. The review addresses challenges associated with standardizing molecular protocols, tackling false positives/negatives, and discusses the advantages and limitations of each technique. By providing a comprehensive overview of dirofilariasis diagnostic strategies, from traditional to cutting-edge methods, this review aims to enhance understanding of the disease’s diagnostic landscape. The insights gained have implications for improved disease management and guide future research endeavors toward refining diagnostic protocols and advancing therapeutic interventions.
Multi-omics profiling reveals peripheral blood biomarkers of multiple sclerosis: implications for diagnosis and stratification
Authors: Zhou Qinming , Xie Zuoquan , He Lu , Sun Guangqiang , Meng Huanyu , Luo Zhiyu , Feng Yuan , Chu Xingkun , Li Liang , Zhang Jing , Hao Yong , Geng Meiyu , Zhang Xiang , Chen Sheng
Published: August 2024

Background

Multiple sclerosis (MS), a chronic autoimmune disorder marked by demyelination in the central nervous system, is exceptionally uncommon in China, and remains poorly understood in terms of its peripheral blood manifestations.

Methods

We conducted a cohort study comprising 39 MS patients and 40 normal controls (NC). High-dimensional mass cytometry, protein arrays, and targeted metabolomics were utilized to profile immune subsets, proteins, and metabolites in blood. Differences in multi-omics signatures were scrutinized across varying MS subtypes.

Results

Immune profiling demonstrated an elevation in various B cell subsets and monocytes, alongside a reduction in dendritic cells among MS patients. Proteomic data revealed a downregulation in neurotrophic and tissue repair proteins. Metabolomic assessment showed a noted decrease in anti-inflammatory molecules and sphingolipids. Integrated analysis identified distinct molecular patterns distinguishing MS from controls. Additionally, multi-omics differences among different MS subtypes were uncovered. Notably, hippuric acid levels was consistently lower in MS subgroups with greater disease severity.

Conclusion

This study represents the pioneering exploration of multi-omics in Chinese MS patients, presenting a comprehensive view of the peripheral blood changes in MS. Our study underscores the robust capability of multi-omics assessments in identifying peripheral blood biomarkers that delineate the varied clinical presentation, and facilitates future development of biomarkers and targeted therapeutic interventions in MS.
Observation of critical scaling in spin glasses below Tc using thermoremanent magnetization
Authors: Kenning G. G. , Brandt M. , Brake R. , Hepler M. , Tennant D.
Published: August 2024

Time-dependent thermoremanent magnetization (TRM) studies have been instrumental in probing energy dynamics within the spin glass phase. In this paper, we review the evolution of the TRM experiment over the last half century and discuss some aspects related to how it has been used in the understanding of spin glasses. We also report on recent experiments using high-resolution DC SQUID magnetometry to probe the TRM at temperatures less than but near to the transition temperature Tc. These experiments have been performed as a function of waiting time, temperature, and five different magnetic fields. We find that as the transition temperature is approached from below, the characteristic time scale of TRM is suppressed up to several orders of magnitude in time. In the highest-temperature region, we find that the waiting time effect subsides, and a waiting time-independent crossover line is reached. We also find that increasing the magnetic field further suppresses the crossover line. Using a first-principles energy argument across the crossover line, we derive an equation that is an excellent fit to the crossover lines for all magnetic fields probed. The data show strong evidence for critical slowing down and an H = 0 Oe phase transition.
Research of real-time corn yield monitoring system with DNN-based prediction model
Authors: Yin Chaojie , Zhang Qi , Mao Xu , Chen Du , Huang Shengcao , Li Yutong
Published: August 2024

The real-time monitoring of corn yield by a combine harvester is a critical data source for constructing the yield histogram, which significantly benefits precision management and decision-making in modern precision agriculture. While widely used, the current photoelectric sensor-based yield monitoring method has limitations. It detects the corn height on each scraper and calculates the yield through a geometric formula. However, it neglects the noticeable difference in the corn stacking patterns affected by factors such as feeding volume, terrain, and driving speed. This oversight often results in low accuracy and poor stability in the prediction of corn yield, highlighting the need for a more advanced approach. To resolve this, we employ EDEM discrete element simulation to demonstrate the large difference of corn stacking patterns on the scraper of the elevator corresponding to feeding volume. Then, we develop a real-time monitoring system on our self-developed double elevator testing rig for carrying out a composite dataset for training three machine learning algorithm-based models, namely Deep Neural Networks (DNN), Gradient Boosting Machine (GBM), and Random Forest (RF). Importantly, these models have undergone rigorous validation under various feeding volumes, ensuring their robustness and reliability. The auxiliary elevator speed is meticulously set at 150r/min, 225r/min, and 450r/min, providing a comprehensive performance assessment. The results denote that the DNN model performs best and is stable, with a coefficient of determination (R2) of 0.998, root mean square error (RMSE) of 0.526, and mean absolute error (MAE) of 0.425. The paper also performs field experiments to test the proposed three prediction models and the system. The results also denote the DNN-based prediction model’s best performance for the lowest relative error of 2.29% and the highest average accuracy of 97.85%. Consequently, the proposed real-time corn yield monitoring system achieves high accuracy and reliability for the combine harvester applications.
Factual belief polarization between Democrats and Republicans: source or epiphenomenon of ideological and affective polarization?
Authors: Rekker Roderik
Published: August 2024

Democrats and Republicans have polarized in their attitudes (i.e., ideological polarization) and their feelings toward each other (i.e., affective polarization). Simultaneously, both groups also seem to diverge in their factual beliefs about reality. This preregistered survey experiment among 2,253 American citizens examined how this factual belief polarization may or may not fuel ideological and affective polarization around four key issues: income differences, immigration, climate change, and defense spending. On all issues except immigration, Democrats and Republicans were equally or more divided in their factual beliefs about the present than in their ideals for the future. Corrective information decreased partisan polarization over some ideals, but not directional policy attitudes. Priming respondents' factual beliefs conversely increased polarization around defense spending, but not other issues. Much remains unclear about the complex relation between factual beliefs and polarization, but measuring ideals and priming beliefs could be promising avenues for future research.
Blended learning in physical education: application and motivation
Authors: Hrušová Dagmar , Chaloupský David , Chaloupská Pavlína , Hruša Petr
Published: August 2024

Background

The aim of the research was to evaluate outdoor aerobic sport activities (OASA) in the physical education (PE) of university students using wearables and their potential to personalize the learning process and enhance motivation.

Methods

In total, 368 university students participated. The OASA structure and the key points of application in PE were described. Descriptive statistics of the training units (n = 3,680) were processed. The students recorded their training data in the Strava app (10 sessions per semester), and the data were shared in the online sport community created on the Strava platform. Motivation was evaluated using a questionnaire. The focus was both on intrinsic motivation and extrinsic “ICT” motivation, based on Strava app features and tools.

Results

The most preferred outdoor aerobic sport activities were running (58%), cycling (13%), and walking (16%). The results provided insight into motivation and performance analysis. Students’ motivation to participate in OASA was mainly in health concerns, such as staying in shape (94%), staying healthy (90%), and psychological concerns, such as having fun (88%), improving state of mind (88%), or relieving stress (83%). In achievement concerns, the motivation was a personal challenge (72%), while competing with others was ranked lowest (32%). The Strava app was a motivating tool for students to record, monitor, and analyze their individual activities and feel “connectedness” to the online sport community. 70% of students were motivated by the non-competitive character of PE, which gave them a personalized opportunity to train without being compared to others.

Discussion

The OASA management, with the use of blended learning methods and the Strava app, uses a motivational approach to create, support, and maintain students’ healthy habits of physical activity through PE lessons. The need for students to be motivated to exercise can be confirmed in the analysis of the statistical descriptive parameters of running, cycling, and walking. There was a tendency for students to complete only the minimum required distance/time (not more). On the other hand, students enjoyed the training, and 99% of students confirmed that they would enroll again. That fact underlined the importance of motivating students with an effective learning strategy and giving support and guidance.
Exploring factors affecting psychological resilience of farmers living in drought-affected regions in Iran: a qualitative study
Authors: Tahernejad Azadeh , Sohrabizadeh Sanaz , Mashhadi Ali
Published: August 2024

Introduction

Drought, a prevalent consequence of climate change, significantly impacts mental health among farmers. Enhancing psychological resilience is crucial to mitigating these effects. This study aims to explore the concept and factors affecting the psychological resilience of farmers living in drought-affected regions in Iran.

Method

This study utilized a conventional qualitative content analysis method. Twenty-six participants, divided into two groups of experts and farmers, were selected through purposive sampling. Data collection was conducted via in-depth semi-structured interviews. The study adhered to the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist and was carried out between June 2023 and February 2024.

Results

The factors affecting the psychological resilience of farmers living in drought-affected regions were categorized into two main categories with nine subcategories. The first category, environmental factors, included economic factors, socio-cultural factors, drought adaptation methods, government policies, and infrastructural factors. The second category, intra-individual factors, comprised personal characteristics, health factors, psychological factors, and perception and knowledge.

Conclusion

The study revealed that both environmental and intra-individual factors influence the psychological resilience of farmers during droughts. It is recommended to implement intervention strategies, such as providing training and education on drought adaptation methods and managing agricultural and healthcare expenses. Further research is needed to expand this concept to various disasters and occupational groups in future studies.
Can cultural capital, cognitive ability, and economic capacity help rural older adults bridge the digital divide? Evidence from an empirical study
Authors: Cui Yupeng , He Youshi , Xu Xinglong , Zhou Lulin , Nutakor Jonathan Aseye
Published: August 2024

Background

The digital divide is the difference between individuals who use the Internet and those who do not. Under the triple social environment of urban–rural dichotomy, population aging, and the digital era in China, the existence of digital divide among rural older adults has seriously affected their access to health information through the Internet, so it is urgent to bridge the digital divide problem they face.

Methods

Based on Maslow’s Hierarchy of Needs Theory and Stress Coping Theory, the impact of cultural capital on the digital divide among rural older adults was systematically analyzed using hierarchical regression and Chained Mediation Effect Tests using data from the Chinese Family Panel Studies (CFPS).

Results

Cultural capital has a significant positive effect on the digital divide among rural older adults (β = 0.178, p < 0.01). Cognitive ability and economic capacity both play independent intermediary effects between cultural capital and digital divide among rural older adults, and the intermediary chain formed by the two plays a chain intermediary effect. The increase in the cultural capital of rural older adults has led to an increase in their cognitive ability and economic capacity, which ultimately has a favorable effect on the bridging of the digital divide. Heterogeneity results suggest that cultural capital is more effective in bridging the digital divide among male rural older adults aged 60–69.

Conclusion

Cultural capital is able to bridge the digital divide faced by rural older adults and is age and gender heterogeneous. At the same time, improved cognitive ability and economic capacity can also help rural older adults bridge the digital divide. Therefore, it is proposed that we increase the construction of public cultural service infrastructure in rural areas, liaise with community neighborhood committees and village committees to do a good job of publicity, improve training measures for key groups, and maintain the enthusiasm of rural older adults for learning, so as to provide references for the rural older adults in China and developing countries in general to bridge the digital divide.
Discovering a model Pacific oyster for sustainable aquaculture production and sales optimisation in southern Australia
Authors: Chuku Ernest Obeng , Rust Steven Allen , Smith Gregory George , Mazumder Debashish , Trotter Andrew James
Published: August 2024

The Pacific oyster is prominent in global food security and the blue economy. As an unfed aquaculture species, the oyster offers substantial potential to contribute to United Nations Sustainable Development Goals related to hunger, health, and employment. By capitalising on its biophysical attributes, the industry can enhance production efficiency and economic sustainability. This study advances critical insights into commercially important biophysical traits of the Pacific oyster across its supply chains in southern Australia (South Australia and Tasmania). Applying quantitative analysis to qualitative data using proportional odds logit modelling, reflexive thematic analysis (with theme salience), Fleiss’ Kappa analyses, and a novel Industry-Acclaimed Trait Importance (IATI) Index, we identify non-specific survival, uniform growth, and shell integrity (hard, dense, and less chalky) as primary determinants of production success. The meat quality, shell appearance, and size consistency are also of prime importance for marketability. Notably, we discover the shell, which is not eaten and often overlooked in the oyster production economy, as a critical factor impacting 78% of identified biophysical traits, revealing a potential avenue for production and sales optimisation. By delineating the characteristics of a model oyster, we provide a blueprint for selective breeding and farm management practices to enhance product quality and foster sustainable Pacific oyster aquaculture.
Optimization of Pyroshock Test Conditions for Aerospace Components to Enhance Repeatability by Genetic Algorithms
Authors: Bae Wonki , Park Junhong
Published: August 2024

Electronic components assembled in satellites should be able to withstand the vibration, noise, and impact loads generated by space vehicles during launch. To simulate the impact loading in a laboratory environment, a pyroshock test simulates an impact load resulting from explosions during the stage and pairing separation of launch vehicles, which imposes significant stress on the components, potentially leading to failures and damage. To ensure component reliability before the flight model (FM) stage, where components are mounted on the actual launch vehicle and sent into orbit, a pyroshock test is conducted during the qualification model (QM) stage using identical parts and specifications. This process involves measurements of the acceleration induced by pyroshock to calculate the shock response spectrum (SRS) and evaluate the components’ reliability against the required SRS to confirm their ability to endure the shock and operate normally in post-tests. The aerospace developer determines the SRS requirements based on the space launch vehicle and the installation location of the electronic components. Configuring a suitable pyroshock test to meet these requirements typically involves extensive trial and error. This study aims to minimize such trial and error by examination of SRS changes through a numerical approach by table structural vibration analysis. The structure is subjected to in-plane impacts using a steel ball via a pendulum method. Various SRS profiles are calculated by test factors such as the weight of the steel ball, the pendulum angle, and the installation position of the test specimen. Furthermore, a genetic algorithm is utilized to derive the optimal test conditions that satisfy the required SRS. An automated pyroshock test system is developed to enhance repeatability and reduce human errors.
Seismic Performance Prediction of RC, BRB and SDOF Structures Using Deep Learning and the Intensity Measure INp
Authors: Payán-Serrano Omar , Bojórquez Edén , Carrillo Julián , Bojórquez Juan , Leyva Herian , Rodríguez-Castellanos Ali , Carvajal Joel , Torres José
Published: August 2024

The motivation for using artificial neural networks in this study stems from their computational efficiency and ability to model complex, high-level abstractions. Deep learning models were utilized to predict the structural responses of reinforced concrete (RC) buildings subjected to earthquakes. For this aim, the dataset for training and evaluation was derived from complex computational dynamic analyses, which involved scaling real ground motion records at different intensity levels (spectral acceleration Sa(T1) and the recently proposed INp). The results, specifically the maximum interstory drifts, were characterized for the output neurons in terms of their corresponding statistical parameters: mean, median, and standard deviation; while two input variables (fundamental period and earthquake intensity) were used in the neural networks to represent buildings and seismic risk. To validate deep learning as a robust tool for seismic predesign and rapid estimation, a prediction model was developed to assess the seismic performance of a complex RC building with buckling restrained braces (RC-BRBs). Additionally, other deep learning models were explored to predict ductility and hysteretic energy in nonlinear single degree of freedom (SDOF) systems. The findings demonstrated that increasing the number of hidden layers generally reduces prediction error, although an excessive number can lead to overfitting.
Numerical Evaluation of Aerosol Propagation in Wind Instruments Using Computational Fluid Dynamics
Authors: Soubrié Tristan , Néchab Julien , Viala Romain , Creton Milena , Jousserand Michael
Published: August 2024

This paper examines aerosol propagation in wind instruments through numerical analysis, focusing on particle trajectories within five types of wind instruments: saxophone, clarinet, flute, oboe, and trumpet. Using a computational fluid dynamics approach, it is found that larger particles are deposited within the instruments, while smaller micron-sized particles predominantly exit through the bell. The impact of the instrument’s geometry on aerosol dynamics is quantified; cylindrical instruments (clarinet, flute) show an increased rate of small droplet deposition or escape through tone holes compared to conical instruments (saxophone, oboe). Instruments with steep turnings, such as the trumpet, exhibited significant particle deposition. The study suggests that deposited particles are likely to move towards re-emission points, driven by gravity and airflow, especially in straight-shaped instruments. Integrating computational fluid dynamics (CFD) as a complementary approach to traditional experimental methods provides insights into aerosol transmission mechanisms in musical settings. This methodology not only aids in understanding aerosol behavior but also supports the development of safer musical and educational environments, contributing to the field.
Validity and Reliability of a Questionnaire on Attitudes, Knowledge, and Perceptions of Pharmacy Students Regarding the Training Received on Antibiotics and Antimicrobial Resistance during Their University Studies
Authors: Otero-Batán Patricia , Lens-Perol Guillermo , Vázquez-Cancela Olalla , Salgado-Barreira Angel , Vazquez-Lago Juan Manuel
Published: August 2024

Background: Antimicrobial resistance is a major public health issue today. Therefore, it is essential to focus on the education of pharmacists as future dispensers. The objective of this study was to validate a questionnaire that assesses the knowledge, attitudes, and perceptions of pharmacy students regarding the education received during their university degree on the use and dispensation of antibiotics, as well as bacterial resistance. Methods: An online questionnaire was developed and distributed via RedCap v.13.7.1 to pharmacy students at the University of Santiago de Compostela using the WhatsApp social network. The questionnaire consisted of 28 items evaluating 5 dimensions: “quality of care”, “communication skills”, “antibiotic resistance”, “teaching methodology”, and “education on antibiotics at the faculty”. The questionnaire validation was conducted in 2 steps: Step 1 involved content and appearance validation, and Step 2 involved reliability analysis. Results: A total of 61 completed questionnaires were received. The mean age was 21.82 ± 3.81 years, with 20 males (32.8%) and 41 females (67.2%). Content validation was performed through a nominal group of 5 experts, and appearance validation was conducted by a focus group of 6 university pharmacy students. The questionnaire demonstrated a Cronbach’s alpha value of 0.80 and adequate item discrimination capability. Confirmatory factor analysis was performed to assess construct validity, confirming the 5 predefined dimensions. Conclusions: A questionnaire has been developed and validated with high reliability and validity. Its use will help identify areas for improvement in the university education of pharmacy students, ultimately contributing to better use and dispensation of antibiotics and thereby improving antimicrobial resistance.