bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macrophage Migration Inhibitory Factor (MIF) suppresses mitophagy through disturbing the protein interaction of PINK1-Parkin in sepsis-associated acute kidney injury
Authors: Peng Zhiyong , Li Tianlong , Qu Jiachen , Hu Chang , Pang Jingjing , Qian Yaoyao , Li Yi-Ming 
Published: December 2023

Abstract

Renal tubular epithelial cells (RTECs) injury foreboded the occurrence and development of sepsis-associated acute kidney injury (SA-AKI). Recent studies of mitochondria have demonstrated that mitophagy was an indispensable physiological function of alleviating RTECs injury. Mitophagy was suppressed progressively by the inflammation response in SA-AKI. However, the mechanism of inflammation modulating mitophagy remains poor understood. We investigated the role of macrophage migration inhibitory factor (MIF, a pro-inflammation protein) in the PINK1-Parkin pathway of mitophagy through identifying the protein-protein interactions under the condition of inhibiting or over-expressing MIF. Unexpectedly, increasing MIF directly bound with PINK1 and disturbed the interaction of PINK1 and Parkin, which restrained the Parkin recruitment to mitochondria and the occurrence of mitophagy. Furthermore, this effect caused severe RTECs apoptosis, but which could be reversed by a MIF inhibitor ISO-1 or/and a new mitophagy activator T0467. These findings identified a critical renodamaged effect of MIF on disturbing the interaction of PINK1-Parkin and a therapeutic effect of ISO-1 and T0467 on protecting against SA-AKI. This study provided a novel insight of treating SA-AKI through targeting MIF and mitophagy.
Identification of stripe rust resistance gene YrBDT in Chinese landrace wheat Baidatou using BSE-seq and BSR-seq
Authors: Wu Jingchun , Cheng Yukun , Hao Weihao , Bai Bin , Fu Luping , Ren Yan , Hao Yuanfeng , Wang Fengju , Lin Ruiming , Si Hongqi , Ma Chuanxi , He Zhonghu , Xia Xianchun , Chen Jiansheng , Chen Can 
Published: December 2023

Abstract

Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is a devastating foliar disease of wheat. Chinese landrace wheat Baidatou has shown high resistance to a broad spectrum of Pst races at both the seedling and adult-plant stages for decades in the Longnan region of Gansu province, a hotspot for stripe rust epidemics. Here, we report fine mapping and candidate gene analysis of stripe rust resistance gene YrBDT in Baidatou. Analysis of F1, F2 plants and F2:3 lines indicated that resistance in Baidatou to Pst race CYR31 was conferred by a single dominant gene, temporarily designated YrBDT. Bulked segregant exome capture sequencing (BSE-seq) analysis revealed 61 high-confidence polymorphic SNPs concentrated in a 5.4 Mb interval at the distal of chromosome arm 6DS. Several SNPs and InDels were also identified by genome mining of DNA sampled from the parents and contrasting bulks. The YrBDT locus was finally mapped to a 943.6 kb (4,658,322–5,601,880 bp) genomic region spanned by markers STS2 and STS3 based on IWGSC RefSeq v2.1, including five putative disease resistance genes. There was high collinearity of the target interval among Chinese Spring RefSeq v2.1, Ae. tauschii AL8/78 and Fielder genomes. The expression level of TraesCS6D03G0027300 showed significant association with Pst infection, and a gene-specific marker CAPS3 developed from TraesCS6D03G0027300 co-segregated with YrBDT suggesting this gene as a candidate of YrBDT. The resistance gene and flanking markers can be used in marker-assisted selection for improvement of stripe rust resistance.
The feasibility of an online intergenerational co-parenting program for mother-father- grandmother triad on the intergenerational co-parenting relationship in the perinatal period: a pilot Randomized Controlled Trial
Authors: XIAO XIAO , LEUNG Doris Y.P. , NGAI Fei-wan , Zhu Shening , Chen Siqi 
Published: December 2023

Abstract

Aims To assess the effectiveness of an online intergenerational co-parenting program on intergenerational co-parenting families during the perinatal period.
Methods This was a pilot randomized controlled trial. A convenience sample of 60 intergenerational co-parenting family units, including 60 first-time parents and 60 grandmothers was recruited from the obstetric clinic in the study hospital. The recruited families were randomly assigned to the intervention (n=30) or control group (n=30). Participants in the intervention group received the online intergenerational co-parenting program in addition to usual care, including three weekly antenatal sessions and two weekly postnatal sessions.
Results The intervention did not find significant differences on the observed outcomes between the two groups. Some negative effects were found on mother reported intergenerational co-parenting relationship with their mother-in-law and their parenting satisfaction, but some positive effects were found on the depressive symptoms of mothers both at 6 weeks postpartum (Vargha and Delaney's A =0.65) and 3 months postpartum (Vargha and Delaney's A =0.56). It could protect the decline of mother-reported co-parenting relationships with their husband (Cohen’s d=0.12) and was also helpful to reduce mothers’ parenting stress (Cohen’s d=0.14). The intervention could also improve the parenting self-efficacy of mothers with a moderate effect size (Cohen’s d=0.36).
Conclusion The program found some negative effects on the intergenerational co-parenting relationship between mothers and grandmothers and mothers’ parenting satisfaction, the intervention may reduce the depressive symptoms, parenting stress of mothers, benefit their parenting self-efficacy and co-parenting relationship between couples.
A dynamic subset of network interactions underlies tuning to natural movements in marmoset sensorimotor cortex
Authors: Hatsopoulos Nicholas , Moore Dalton , MacLean Jason , Walker Jeffrey 
Published: December 2023

Abstract

Mechanisms of computation in sensorimotor cortex must be flexible and robust to support skilled motor behavior. Patterns of neuronal coactivity emerge as a result of computational processes. Pairwise spike-time statistical relationships, across the population, can be summarized as a functional network (FN) which retains single-unit properties. We record populations of single-unit neural activity in forelimb sensorimotor cortex during prey-capture and spontaneous behavior and use an encoding model incorporating kinematic trajectories and network features to predict single-unit activity during forelimb movements. The contribution of network features depends on structured connectivity within strongly connected functional groups. We identify a context-specific functional group that is highly tuned to kinematics and reorganizes its connectivity between spontaneous and prey-capture movements. In the remaining context-invariant group, interactions are comparatively stable across behaviors and units are less tuned to kinematics. This suggests different roles in producing natural forelimb movements and contextualizes single-unit tuning properties within population dynamics.
Association between watching eating broadcast “Mukbang and Cookbang” and body mass index status in South Korean adolescents
Authors: Park Sang-yeon , Eom Jeongha , Choi Sangyoun , Kim Jinhyun , Park Eun-Cheol 
Published: December 2023

Abstract
Background
It has been suggested that Mukbang and Cookbang, a type of eating broadcast originating from Korea and gaining popularity, may contribute to obesity. However, despite suggestions that Mukbang might contribute to obesity, studies investigating the impact of watching Mukbang on obesity is lacking. The goal of this study is to analyze the relationship between watching Mukbang and Cookbang and body mass index (BMI) status in Korean adolescents.
Methods
This study utilized data from the 2022 Korea Youth Risk Behavior Web-based Surveys. Participants reported the frequency of watching Mukbang and Cookbang per week over the previous 12 months. BMI was categorized into four subgroups based on percentiles: underweight (< 5th percentile), normal (5th − 85th percentiles), overweight (85th − 95th percentiles), and obese (> 95th percentile). This study used multinomial logistic regression for analysis.
Results
The likelihood of being obese was significantly higher in Mukbang-watching boys compared to those who never watched Mukbang and Cookbang (adjusted odds ratio [aOR]: 1.22, 95% confidence interval [CI]: 1.12–1.32). A dose-dependent association was found between the frequency of Mukbang and Cookbang watching and the likelihood of obesity among boys (p-for-trend < 0.0001). Subgroups that currently smoke, currently drink alcohol, frequently consume fast food, or drink sweetened beverages showed significantly higher odds of being obese in the “Ever” group than those in the “Never” group.
Conclusion
This study found a relationship between watching Mukbang and Cookbang and obesity in boys. Appropriate interventions should be considered for boys watching Mukbang and Cookbang.
A Real-Time PCB Defect Detection Model Based on Enhanced Semantic Information Fusion
Authors: Ji Tangyu , Zhao Qian , An Kang , Liu Dandan , Yu Wentao , Liang Shuang 
Published: December 2023

Abstract

Aiming at the problem of poor balance between real-time and performance of existing PCB board defect detection algorithms, this paper proposes a fast PCB board detection model based on enhanced semantic information fusion, i.e., the Ghost-YOLOv8 (G-YOLOv8) model. GhostConv is used for feature extraction in the backbone network part, which reduces the complexity of network operation; the SPPFCSPCS structure is proposed and applied to the deepest layer of the backbone network to strengthen the model’s fusion ability for deep multi-scale semantic information. In addition, after the feature fusion large-scale detection head, the low parameter number A 2 attention mechanism is added to improve the model’s attention to high-dimensional valid semantic information and optimize the detection results of the network; the Wise-IoU loss function is used for iteration in the training process to strengthen the model’s fitting ability. The experimental results show that the G-YOLOv8 model can detect up to 125FPS on the Peking University open-source PCB board defect detection dataset and Deep PCB dataset, which is an improvement of 1.5FPS compared to the pre-improvement period; and the mAP0.5 on the Deep PCB dataset improves by 0.8%. The performance and detection speed balance of the network has been improved.
Balancing the books of nature: Accounting for ecosystem condition following ecological restoration
Authors: Parkhurst Tina , Standish Rachel , Prober Suzanne , Kobryn Halina , Vardon Michael 
Published: December 2023

Abstract
Ecological restoration is critical for recovering biodiversity, functionality, and resilience of degraded ecosystems. Global restoration targets have been set to ensure that 30% of all degraded ecosystems are under effective restoration by 2030. Natural Capital Accounting (NCA) quantifies the biophysical and socioeconomic characteristics of ecosystems. As humanity faces pressing sustainability challenges and increasing environmental degradation, NCA can potentially assist public and private-sector decision-makers to catalogue effects of restoration interventions to drive investment, improvement to practice, and ultimately, to better protect the Earth's ecosystems. To test its suitability, we populated the leading global NCA framework with ecological data to quantify changes in ecosystem condition after restoration. We found that in principle, NCA is fit for purpose, however, requires methodological refinements and ecological expertise to capture restoration outcomes. These tweaks will facilitate adoption and standardisation of reporting as efforts ramp up to meet ambitious global restoration targets by 2030.
Malaysian Patient Perspectives on Clinical Trial Participation: Willingness, Knowledge, Perceptions, Confidence, and Religious Barriers
Authors: King Teck Long , Tan Shirin H , Tan Shirley SN , Lai Wei Hong , Bujang Mohamad Adam , Voon Pei Jye 
Published: December 2023

Abstract

Despite the expanding landscape of clinical trials, there is a lack of study concerning Malaysian patients’ participation and perspectives. This study addresses these gaps by assessing patients’ willingness, knowledge, perceptions, confidence, and religious barriers related to clinical trial participations in a clinical trial hospital in Malaysia. We conducted a cross-sectional survey at Sarawak General Hospital from March to September 2022, encompassing 763 cancer and non-cancer patients. We collected patients’ responses and calculated scores for domains such as willingness to participate (40.5/100), clinical trial knowledge (29.9/100), perceived benefits (66.5/100) and risks (72.4/100) of participations, confidence in clinical trial conducts (66.3/100), and religious barriers (49.8/100). Cancer patient demonstrated significantly greater willingness for trials involving new drugs (scores: 31.9/100 vs 27.4/100, p = 0.021) but slightly higher religious barriers compared to non-cancer cohort (scores: 51.4/100 vs 48.3/100, p = 0.006). Multivariable logistic regression identified female gender, unemployment, poor knowledge, low perceived benefits, high perceived risks, and low confidence as significant factors negatively associated with willingness to participate in clinical trials (p < 0.05). This study underscores the challenges in engaging Malaysian patients in clinical trials, emphasising the need for targeted strategies to raise awareness, effective communication on benefits and risks, and enhancing public confidence to promote clinical trial participation.
Comparison of quality of working life of nurses of Covid-19 and non-Covid-19 wards
Authors: Shamsi Afzal , ghaderi musab , Sadrmomtaz Fatemeh 
Published: December 2023

Abstract
Background
The aim of this study was to determine and compare the quality of work-life (QOWL) of nurses of Covid-19 and non-Covid-19 wards.
Methods
This cross-sectional study performed on 400nurses in 2022. The subjects were first selected by multi-stage random sampling method and within the clusters by a purposeful method including 2groups (Covid-19 wards, non-Covid-19 wards). Data were collected using the Walton Demographic and QOWL Questionnaire. Data-analysis was performed using SPSS-v23 software; descriptive and inferential statistical tests.
Results
The score of all subscales of QOWL in the group working in Covid-19 wards was lower than non-Covid-19 wards. The lowest scores of subscales in both groups were related to the dimension of "safe and healthy work environment" (p < 0.001).
Conclusions
The QOWL of Covid-19 wards nurses are lower than those of non-Covid-19 wards. Therefore, planning is needed to improve the QOWL of nurses, especially those working in Covid-19 wards.
A sex-structured mathematical model of mosquito infection with Microsporidia MB: model reduction and release strategies
Authors: Temfack Dhorasso , Tsanou Berge , Lubuma Jean , Diaby Mouhamadou 
Published: December 2023

Abstract
Malaria remains a significant public health burden in Sub-Saharan African countries, hindering their development. A promising strategy to combat this disease involves the use of the bacterium Microsporidia MB to reduce/replace disease-transmitting wild mosquito population. In this paper, we develop a dynamic model to analyze the transmission dynamics of Microsporidia MB within the wild mosquito population, considering both imperfect maternal and horizontal transmissions. We calculate the basic reproduction rate (R0 ) of the model to assess the invasive potential of Microsporidia MB-infected mosquito in the wild population. By establishing conditions for the local stability of equilibrium points based on the level of maternal transmission, we gain insights into the control of Microsporidia MB spread. Simplifying the model to a 2-dimensional system, we formulate and solve an optimal control problem that involves releasing infected mosquitoes to replace the wild population or achieve mosquito coexistence with sufficiently reduced wild mosquito population. Through theoretical analysis and numerical simulations, our findings contribute to the understanding and development of effective strategies for malaria control using Microsporidia MB.
Diet quality in young adulthood and sleep at midlife: a prospective analysis in the Bogalusa Heart Study
Authors: Potts Kaitlin S. , Gustat Jeanette , Wallace Maeve , Ley Sylvia , Qi Lu , Bazzano Lydia A. 
Published: December 2023

Abstract

Background
Diet and sleep are both established risk factors for cardiometabolic diseases. Prior evidence suggests a potential link between these behaviors, though evidence for how they associate with each is scarce. This study aimed to determine the association between diet quality in young adulthood and multiple sleep outcomes at midlife in the Bogalusa Heart Study (BHS).
Methods
This prospective study included 593 BHS subjects with dietary assessment at the 2001–2002 visit and sleep questionnaire responses from the 2013–2016 visit, after an average of 12.7 years (baseline mean age: 36 years, 36% male, 70%/30% White and Black persons). A culturally tailored, validated food frequency questionnaire assessed usual diet. Diet quality was measured with the Alternate Healthy Eating Index (AHEI) 2010, the Healthy Eating Index (HEI) 2015, and the alternate Mediterranean (aMed) dietary score. Robust Poisson regression with log-link function estimated risk ratios (RR) for insomnia symptoms, high sleep apnea score, and having a healthy sleep pattern by quintile and per standard deviation (SD) increase in dietary patterns. Models adjusted for potential confounders including multi-level socioeconomic factors, depression, and body mass index. Trends across quintiles and effect modification by sex, race, and education were tested.
Results
Higher diet quality in young adulthood, measured by both AHEI and HEI, was associated with lower risk of having insomnia symptoms at midlife. In the adjusted model, each SD-increase in AHEI (7.8 points; 7% of score range) conferred 15% lower risk of insomnia symptoms at follow-up (RR [95% confidence interval CI]: 0.85 [0.77, 0.93]), those in Q5 of AHEI had 0.54 times the risk as those in Q1 (95% CI: 0.39, 0.75), and there was a significant decreasing risk trend across quintiles (trend p = 0.001). There were no significant associations between young adult diet quality and having a high sleep apnea risk or a healthy sleep pattern at follow-up.
Conclusions
A healthy diet was associated with a lower risk of future insomnia symptoms. If replicated, these findings could have implications for chronic disease prevention strategies incorporating the lifestyle behaviors of sleep and diet.
Extended cluster-based network modeling for coherent structures in turbulent flows
Authors: Colanera Antonio , Reumschüssel Johann Moritz , Beuth Jan Paul , Chiatto Matteo , de Luca Luigi , Oberleithner Kilian 
Published: December 2023

Abstract

This study introduces the Extended Cluster-based Network Modeling (eCNM), a methodology to analyze complex fluid flows. The eCNM focuses on characterizing dynamics within specific subspaces or subsets of variables, providing valuable insights into complex flow phenomena. The effectiveness of the eCNM is demonstrated on a swirl flame in unforced conditions, characterized by a precessing vortex core (PVC), using synchronized data from PIV measurements, UV-images filtered around the OH* chemiluminescence wavelength, featuring the heat release rate distribution, and pressure signals from jet inlet probes.The analysis starts with choosing the distance metric for the coarse-graining process and the number of clusters of the model. This has been pursued by designing a filtered distance metric based on the filtered correlation matrix and minimizing the Bayesian information criterion (BIC) score, balancing the goodness of the fit of a model with its complexity. The standard cluster-based network model on the velocity fluctuations allowed for determining the characteristic frequency of the PVC. The construction of extended cluster centroids of the heat release rate reveals a rotating flame pattern, predominantly localized within regions influenced by PVC's vortices roll-up. Spatial subdomain analysis is carried out, demonstrating the benefits of focusing on specific regions of interest within the fluid system and providing significant computational savings. Furthermore, eCNM allows for the handling of different sampling frequencies among datasets. Leveraging high-resolution pressure measurements as a reference dataset and velocity components as undersampled data, extended cluster centroids for velocity are successfully estimated, even when the velocity sampling frequency is artificially reduced. This study showcases the adaptability and robustness of eCNM as a valuable tool for comprehending and analyzing coherent structures in complex fluid flows.
Structural insights into RNA cleavage by a novel family of bacterial RNases
Authors: Wu Ruoxi , Barnes Sarah A. , Dahlin Heather R. , Khamrui Susmita , Ingle Shakti , Xiang Yufei , Shi Yi , Bechhofer David H. , Lazarus Michael B. 
Published: December 2023

Abstract
Processing of RNA is a key regulatory mechanism for all living systems. We recently discovered a novel family of endoribonucleases that is conserved across all bacteria. Here, using crystallography, cryo-EM microscopy, biochemical, biophysical, and mass spectrometry techniques, we are able to shed light on a novel RNA cleavage mechanism in bacteria. We show that YicC, the prototypical member of this family, forms a hexameric channel that closes down on a 26-mer RNA substrate, and find that it cleaves across an RNA hairpin to generate several short fragments.
Quantum implementation of the guided image filtering algorithm
Authors: Mu Jiale , Li Xiao-Fei , Zhang Xiang-Hua , Wang Pinghe 
Published: December 2023

Abstract

Image filtering involves the application of window operations that perform valuable functions, such as noise removal, image enhancement, high dynamic range (HDR) compression, and so on. Guided image filtering is a new type of explicit image filter with multiple advantages. Here, we report a quantum implementation of guided image filtering algorithm, based on the novel enhanced quantum representation (NEQR) model, and the corresponding quantum circuit has been designed. We find the quality of filtering is consistent with that of the classical one and the time complexity is reduced exponentially from $O(2^{2q})$ to $O(q^2)$ due to the quantization.