bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of a plant-based diet on oxidative stress biomarkers in male footballers
Authors: Zare Mahsa , Shoaei Niloofar , Karimian Jahangir , Nouri Mehran , Zare Sahar , Leilami Kimia , Shateri Zainab , Sarbakhsh Parvin , Eftekhari Mohammad Hasan , Pourghassem Gargari Bahram 
Published: February 2024

AbstractProper nutrition plays a vital role in modulating oxidative status. There is an increasing popularity of plant-based dietary patterns among athletes. Therefore, the present study aimed to determine the plant-based diet index (PDI) score among male footballers and their non-athlete controls, as well as its relationship with oxidative biomarkers by evaluating the urinary excretion of F2alpha-isoprostane (F2a-IP) and 8-hydroxy-2′-deoxyguanosine (8-OHdG). A group of footballers (n = 45) and a healthy non-athlete group (n = 45) were selected. The two groups were matched based on body mass index (BMI) and age. The mean (standard deviation (SD)) age of the subjects was 22.88 (2.41) years, and their BMI was 22.08 (1.35) kg/m2. Anthropometric indices were evaluated, and fasting morning urine samples were analyzed to measure oxidative biomarkers. The PDI, unhealthy plant-based diet index (uPDI), and healthy plant-based diet index (hPDI) were calculated using valid food frequency questionnaire data. Generalized estimating equation models were used for all analyses. Compared to the non-athlete group, the PDI score was significantly greater in the footballer group (β = 9.8; P < 0.001), while the differences between the two groups in uPDI and hPDI scores were not significant. Overall, footballers consumed more plant-based foods. By examining the relationship between dietary indices and oxidative biomarkers, only a negative association was observed between PDI score and F2a-IP level (β = −1.25; P = 0.03). Based on the results, footballers were more adherent to a plant-based diet than non-athletes. In addition, it seems that following plant-based diets (the higher PDI) may exert beneficial effects on lowering F2a-IP levels due to improving the body's antioxidant status.
Correlational analysis of occupational accidents and the safety policies in the Chinese coal mining industry from 2008 to 2021
Authors: Zhu Anyu , Wang Qifei , Liu Haolin , Zhu Hongqing , Lei Yun 
Published: February 2024

AbstractThis study investigates the correlation between previous coal mine safety policies and accidents in China. Data on coal mine accidents and government regulatory information from 2008 to 2021 are collected. The characteristics of coal mine accidents are analyzed, and safety policy indexes are identified. An ordinary least squares (OLS) regression model is established to quantitatively analyze the correlation between accidents and safety policy. The study finds that safety policies have some impact on accident occurrence in coal mines. Although there has been a decrease in accidents and deaths over time, higher mortality rates are observed during periods of increased production intensity and on weekends. Gas accidents are the most common, followed by roof and flood accidents. The study concludes that national safety policies with wider coverage and a stronger system are effective in preventing accidents, but caution should be exercised to avoid reduced vigilance with decreasing death rates.
Cardiac autonomic profile, perceived stress and environmental comfort in healthy employees during remote and in-office work
Authors: Perego Francesca , De Maria Beatrice , Parati Monica , Cassetti Giuseppina , Gorini Alessandra , Bari Vlasta , Gelpi Francesca , Porta Alberto , Dalla Vecchia Laura Adelaide 
Published: February 2024

AbstractRemote work (REMOTE) causes an overlap between working and domestic demands. The study of the cardiac autonomic profile (CAP) by means of heart rate variability (HRV) provides information about the impact of REMOTE on workers’ health. The primary aim was to determine whether CAP, self-perceived stress, environmental and workstation comfort are modified during REMOTE. The secondary aim was to explore how these indices are influenced by individual and environmental work-related factors. Fifty healthy office employees alternating REMOTE and in-office (OFFICE) working were enrolled, rated self-perceived stress, environmental and workstation comfort using a visual analogue scale and performed a 24-h electrocardiogram during REMOTE and OFFICE. Stress was lower (5.6 ± 2.2 vs. 6.4 ± 1.8), environmental comfort higher (7.7 ± 1.9 vs. 7.0 ± 1.5), and the workstation comfort poorer (6.2 ± 1.8 vs. 7.5 ± 1.2) during REMOTE. CAP was similar during REMOTE and OFFICE. CAP was influenced by some work-related factors, including the presence of offspring, absence of a dedicated workspace during REMOTE and number of working hours. All these variables determined a decreased vagal modulation. The working setting seems to impact the levels of perceived stress and comfort, but not the CAP. However, individual and environmental work-related factors reduce cardiac vagal modulation during REMOTE, potentially increasing the risk of developing cardiovascular diseases.
Effects of γ-polyglutamic acid on grassland sandy soil properties and plant functional traits exposed to drought stress
Authors: Skalski Tomasz , Zając Ewelina , Jędrszczyk Elżbieta , Papaj Katarzyna , Kohyt Joanna , Góra Artur , Kasprzycka Anna , Shytum Divine , Skowera Barbara , Ziernicka-Wojtaszek Agnieszka 
Published: February 2024

AbstractThe current study provides field experimental data that support the use of γ-polyglutamic acid (γ-PGA) in drought stress and proposes its application in grassland management. We hypothesized that water treatment combined with PGA application to sandy soil would reduce drought stress in grasslands more effectively than watering alone. A randomized block design was used, with three replicate watering blocks (no watering, weekly watering, and monthly watering) and PGA treatments at four different concentrations (0%, 0.3%, 1%, and 2% PGA). The results showed that PGA acts as a biostimulant, alleviating the effects of stress in plants by: (1) increasing the availability of ions, especially K+, Zn2+, Mn2+, Fe2+/3+, Ca2+, and Mg2+, as well as N-NH4+, and N-NO3−, (2) elongating plant roots, (3) increasing the aboveground biomass, (4) improving the resprouting capacity of the dominant grass Nardus stricta, and (5) improving the regeneration of dicotyledons. In the case of meadows on sandy soils, the use of low PGA concentrations (0.3% or 1%) was the most beneficial for the availability of macro- and microelements and improving the functional traits of plants. Irrigation had a greater effect than using PGA only for the dicotyledon to monocotyledon ratio.
Mapping of soil suitability for medicinal plants using machine learning methods
Authors: Roopashree S. , Anitha J. , Challa Suryateja , Mahesh T. R. , Venkatesan Vinoth Kumar , Guluwadi Suresh 
Published: February 2024

AbstractInadequate conservation of medicinal plants can affect their productivity. Traditional assessments and strategies are often time-consuming and linked with errors. Utilizing herbs has been an integral part of the traditional system of medicine for centuries. However, its sustainability and conservation are critical due to climate change, over-harvesting and habitat loss. The study reveals how machine learning algorithms, geographic information systems (GIS) being a powerful tool for mapping and spatial analysis, and soil information can contribute to a swift decision-making approach for actual forethought and intensify the productivity of vulnerable curative plants of specific regions to promote drug discovery. The data analysis based on machine learning and data mining techniques over the soil, medicinal plants and GIS information can predict quick and effective results on a map to nurture the growth of the herbs. The work incorporates the construction of a novel dataset by using the quantum geographic information system tool and recommends the vulnerable herbs by implementing different supervised algorithms such as extra tree classifier (EXTC), random forest, bagging classifier, extreme gradient boosting and k nearest neighbor. Two unique approaches suggested for the user by using EXTC, firstly, for a given subregion type, its suitable soil classes and secondly, for soil type from the user, its respective subregion labels are revealed, finally, potential medicinal herbs and their conservation status are visualised using the choropleth map for classified soil/subregion. The research concludes on EXTC as it showcases outstanding performance for both soil and subregion classifications compared to other models, with an accuracy rate of 99.01% and 98.76%, respectively. The approach focuses on serving as a comprehensive and swift reference for the general public, bioscience researchers, and conservationists interested in conserving medicinal herbs based on soil availability or specific regions through maps.
A spectroscopic test suggests that fragment ion structure annotations in MS/MS libraries are frequently incorrect
Authors: van Tetering Lara , Spies Sylvia , Wildeman Quirine D. K. , Houthuijs Kas J. , van Outersterp Rianne E. , Martens Jonathan , Wevers Ron A. , Wishart David S. , Berden Giel , Oomens Jos 
Published: February 2024

AbstractModern untargeted mass spectrometry (MS) analyses quickly detect and resolve thousands of molecular compounds. Although features are readily annotated with a molecular formula in high-resolution small-molecule MS applications, the large majority of them remains unidentified in terms of their full molecular structure. Collision-induced dissociation tandem mass spectrometry (CID-MS2) provides a diagnostic molecular fingerprint to resolve the molecular structure through a library search. However, for de novo identifications, one must often rely on in silico generated MS2 spectra as reference. The ability of different in silico algorithms to correctly predict MS2 spectra and thus to retrieve correct molecular structures is a topic of lively debate, for instance in the CASMI contest. Underlying the predicted MS2 spectra are the in silico generated product ion structures, which are normally not used in de novo identification, but which can serve to critically assess the fragmentation algorithms. Here we evaluate in silico generated MSn product ion structures by comparison with structures established experimentally by infrared ion spectroscopy (IRIS). For a set of three dozen product ion structures from five precursor molecules, we find that virtually all fragment ion structure annotations in three major in silico MS2 libraries (HMDB, METLIN, mzCloud) are incorrect and caution the reader against their use for structure annotation of MS/MS ions.
Revealing the significance of IL-2 and IL-5 in SARS-CoV-2-specific T-cell responses in kidney transplant recipients
Authors: den Hartog Yvette , Malahe S. Reshwan K. , Rietdijk Wim J. R. , Dieterich Marjolein , Gommers Lennert , van Baarle Debbie , Diavatopoulos Dimitri A. , Messchendorp A. Lianne , van der Molen Renate G. , Remmerswaal Ester B. M. , Bemelman Frederike J. , Kho Marcia M. L. , GeurtsvanKessel Corine H. , Koopmans Marion P. G. , Gansevoort Ron T. , Hilbrands Luuk B. , Sanders Jan-Stephan , Reinders Marlies E. J. , Baan Carla C. , de Vries Rory D. ,   on behalf of RECOVAC Consortium, Abrahams Alferso C. , Baas Marije C. , Bouwmans Pim , Hemmelder Marc H. , ten Dam Marc A. G. J. , Frölke Sophie C. , Standaar Dorien , van der Heiden Marieke , Imhof Celine , Vart Priya , Adema Yvonne M. R. , Boer-Verschragen Marieken J. , Mattheussens Wouter B. , Philipsen Ria , van Mourik Djenolan , Rots Nynke , den Hartog Gerco , van Binnendijk Rob 
Published: February 2024

AbstractKidney transplant recipients (KTRs) are at an increased risk of severe COVID-19 due to compromised immune responses. Although vaccination is critical in preventing severe disease, KTRs have attenuated vaccination-induced immune responses due to underlying kidney disease and immunosuppressive therapies. In this study, the effect of different COVID-19 booster strategies on SARS-CoV-2-specific T-cell responses was assessed in KTRs who showed a poor serological response after the first two mRNA-based primary vaccination doses. In these KTRs, a third vaccination dose led to an increase in antibody levels in the majority of patients. Production of IL-2 and IL-5 by SARS-CoV-2 specific T cells positively correlated with antibody levels, with stronger correlations compared to IFN-γ production, the ‘traditional’ cytokine to measure T-cell responses. Our study underscores the significance a balanced T-cell cytokine response to achieve robust antibody responses in KTRs. Furthermore, we show that multiple cytokines to assess T-cell responses should be explored to identify individuals in need of tailored vaccination strategies.
The development of early human lymphatic vessels as characterized by lymphatic endothelial markers
Authors: Yamaguchi Shoichiro , Minamide Natsuki , Imai Hiroshi , Ikeda Tomoaki , Watanabe Masatoshi , Imanaka-Yoshida Kyoko , Maruyama Kazuaki 
Published: February 2024

AbstractLymphatic vessel development studies in mice and zebrafish models have demonstrated that lymphatic endothelial cells (LECs) predominantly differentiate from venous endothelial cells via the expression of the transcription factor Prox1. However, LECs can also be generated from undifferentiated mesoderm, suggesting potential diversity in their precursor cell origins depending on the organ or anatomical location. Despite these advances, recapitulating human lymphatic malformations in animal models has been difficult, and considering lymphatic vasculature function varies widely between species, analysis of development directly in humans is needed. Here, we examined early lymphatic development in humans by analyzing the histology of 31 embryos and three 9-week-old fetuses. We found that human embryonic cardinal veins, which converged to form initial lymph sacs, produce Prox1-expressing LECs. Furthermore, we describe the lymphatic vessel development in various organs and observe organ-specific differences. These characterizations of the early development of human lymphatic vessels should help to better understand the evolution and phylogenetic relationships of lymphatic systems, and their roles in human disease.
Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis
Authors: Liu Wanshan , Ma Jinglan , Zhang Juxiang , Cao Jing , Hu Xiaoxiao , Huang Yida , Wang Ruimin , Wu Jiao , Di Wen , Qian Kun , Yin Xia 
Published: February 2024

AbstractEndometrial cancer (EC) stands as the most prevalent gynecological tumor in women worldwide. Notably, differentiation diagnosis of abnormity detected by ultrasound findings (e.g., thickened endometrium or mass in the uterine cavity) is essential and remains challenging in clinical practice. Herein, we identified a metabolic biomarker panel for differentiation diagnosis of EC using machine learning of high-performance serum metabolic fingerprints (SMFs) and validated the biological function. We first recorded the high-performance SMFs of 191 EC and 204 Non-EC subjects via particle-enhanced laser desorption/ionization mass spectrometry (PELDI-MS). Then, we achieved an area-under-the-curve (AUC) of 0.957–0.968 for EC diagnosis through machine learning of high-performance SMFs, outperforming the clinical biomarker of cancer antigen 125 (CA-125, AUC of 0.610–0.684, p < 0.05). Finally, we identified a metabolic biomarker panel of glutamine, glucose, and cholesterol linoleate with an AUC of 0.901–0.902 and validated the biological function in vitro. Therefore, our work would facilitate the development of novel diagnostic biomarkers for EC in clinics.
Deciphering the bridge oxygen vacancy-induced cascading charge effect for electrochemical ammonia synthesis
Authors: Biswas Ashmita , Barman Narad , Nambron Avinash , Thapa Ranjit , Sudarshan Kathi , Dey Ramendra Sundar 
Published: February 2024

Annealing-assisted vacancy engineering in SnO2 produces bridge oxygen vacancies where Sn atoms (A, B) adjacent to the vacancy undergo end-on followed by side-on N2 adsorption owing to charge contortion and kinetically facilitate the NRR process.
Evaluating Real-World Benefits of Hearing Aids With Deep Neural Network–Based Noise Reduction: An Ecological Momentary Assessment Study
Authors: Christensen Jeppe Høy , Whiston Helen , Lough Melanie , Gil-Carvajal Juan Camilo , Rumley Johanne , Saunders Gabrielle H. 
Published: February 2024

Purpose:
Noise reduction technologies in hearing aids provide benefits under controlled conditions. However, differences in their real-life effectiveness are not established. We propose that a deep neural network (DNN)–based noise reduction system trained on naturalistic sound environments will provide different real-life benefits compared to traditional systems.

Method:
Real-life listening experiences collected with Ecological Momentary Assessments (EMAs) of participants who used two premium models of hearing aid are compared. One hearing aid model (HA1) used traditional noise reduction; the other hearing aid model (HA2) used DNN-based noise reduction. Participants reported listening experiences several times a day while ambient SPL, SNR, and hearing aid volume adjustments were recorded. Forty experienced hearing aid users completed a total of 3,614 EMAs and recorded 6,812 hr of sound data across two 14-day wear periods.

Results:
Linear mixed-effects analysis document that participants' assessments of ambient noisiness were positively associated with SPL and negatively associated with SNR but are not otherwise affected by hearing aid model. Likewise, mean satisfaction with the two models did not differ. However, individual satisfaction ratings for HA1 were dependent on ambient SNR, which was not the case for HA2.

Conclusions:
Hearing aids with DNN-based noise reduction resulted in consistent sound satisfaction regardless of the level of background noise compared to hearing aids implementing noise reduction based on traditional statistical models. While the two hearing aid models also differed on other parameters (e.g., shape), these differences are unlikely to explain the difference in how background noise impacts sound satisfaction with the aids.

Supplemental Material:

https://doi.org/10.23641/asha.25114526
Auditory Category Learning in Children With Dyslexia
Authors: Roark Casey L. , Thakkar Vishal , Chandrasekaran Bharath , Centanni Tracy M. 
Published: February 2024

Purpose:
Developmental dyslexia is proposed to involve selective procedural memory deficits with intact declarative memory. Recent research in the domain of category learning has demonstrated that adults with dyslexia have selective deficits in Information–Integration (II) category learning that is proposed to rely on procedural learning mechanisms and unaffected Rule-Based (RB) category learning that is proposed to rely on declarative, hypothesis testing mechanisms. Importantly, learning mechanisms also change across development, with distinct developmental trajectories in both procedural and declarative learning mechanisms. It is unclear how dyslexia in childhood should influence auditory category learning, a critical skill for speech perception and reading development.

Method:

We examined auditory category learning performance and strategies in 7- to 12-year-old children with dyslexia (
n
= 25; nine females, 16 males) and typically developing controls (
n
= 25; 13 females, 12 males). Participants learned nonspeech auditory categories of spectrotemporal ripples that could be optimally learned with either RB selective attention to the temporal modulation dimension or procedural integration of information across spectral and temporal dimensions. We statistically compared performance using mixed-model analyses of variance and identified strategies using decision-bound computational models.

Results:
We found that children with dyslexia have an apparent selective RB category learning deficit, rather than a selective II learning deficit observed in prior work in adults with dyslexia.

Conclusion:
These results suggest that the important skill of auditory category learning is impacted in children with dyslexia and throughout development, individuals with dyslexia may develop compensatory strategies that preserve declarative learning while developing difficulties in procedural learning.

Supplemental Material:

https://doi.org/10.23641/asha.25148519
English Prosodic Focus Marking by Cantonese Trilingual Children With and Without Autism Spectrum Disorder
Authors: Wang Bruce Xiao , Chen Si , Zhou Fang , Liu Jiang , Xiao Cheng , Chan Angel , Tang Tempo 
Published: February 2024

Purpose:
The current study investigated English prosodic focus marking by autistic and typically developing (TD) Cantonese trilingual children, and examined the potential differences in this regard compared to native English-speaking children.

Method:

Forty-eight participants were recruited with 16 speakers for each of the three groups (Cantonese-speaking autistic [CASD], Cantonese-speaking TD [CTD], and English-speaking TD [ETD] children), and prompt questions were designed to elicit desired focus type (i.e., broad, narrow, and contrastive focus). Mean duration, mean fundamental frequency (
F
0),
F
0 range, mean intensity, and
F
0 curves were used as the acoustic correlates for linear mixed-effects model fitting and functional data analyses in relation to groups and focus conditions (i.e., broad, narrow, and contrastive pre-, on-, and post-focus).

Results:

The CTD group had post-focus compression (PFC) patterns via reducing mean duration, narrowing
F
0 range, and lowering mean
F
0,
F
0 curve, and mean intensity for words under both narrow and contrastive post-focus conditions, while the CASD group only had shortened mean duration and lowered
F
0 curves. However, neither the CTD group nor CASD group showed much of on-focus expansion (OFE) patterns. The ETD group marked OFE by increasing mean duration, mean
F
0, mean intensity, and higher
F
0 curve for words under on-focus conditions.

Conclusions:

The CTD group utilized more acoustic cues than the CASD group when it comes to PFC. The ETD group differed from the CASD and CTD groups in the use of OFE. Furthermore, both the CASD and CTD groups showed positive first language transfer in the use of duration and intensity and, potentially, successful acquisition in the use of
F
0 for prosodic focus marking. Meanwhile, the differences in the use of OFE between the Cantonese-speaking and English-speaking groups, not PFC, might indicate that Cantonese-speaking children acquire PFC prior to OFE.
A leader‐follower communication protocol for motion planning in partially known environments under temporal logic specifications
Authors: Yan Xiaohong , Liu Yingying , Chen Renwen , Duan Wei 
Published: February 2024

AbstractThis paper considers the problem of communication protocols between leaders and its followers for motion planning in an initially partially known environment. In this setting, the leader observes the environment information to satisfy its own local objective and and the follower completes its own local objective by estimating the states of the leader and communicating with the leader to update its knowledge about the environment when it is necessary, where the local objectives can be expressed in temporal logic. A verifier construction is built first to contain all possible communication protocols between the leaders and the followers. Then, a two‐step synthesis procedure is proposed to capture all feasible communication protocol that satisfy the local objectives for the leader and follower, respectively. In the first step, a sub‐verifier is synthesized to satisfy the objective of the follower. In the second step, based on the obtained sub‐verifier, an iterative algorithm is proposed to extract communication protocols such that the objectives of the leader and follower are satisfied, respectively. A running example is provided to illustrate the proposed procedures.