bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proteomics analysis of nitrogen stress on the influence of carbon and nitrogen metabolism of flue-cured tobacco
Authors: Zhang Xinwang , Huang Yin , Chen Dong , Xu Tianju , Pan Shouhui , Zhang Jinling , Pan Yuqi 
Published: September 2024

Abstract

Nitrogen stress is the main abiotic stress factor affecting the carbon and nitrogen balance of flue-cured tobacco. Tandem mass tag (TMT) proteomics was used to compare the differently expressed proteins (DEPs) of flue-cured tobacco under high- (HN) and low- (LN) nitrogen stress, and Gene Ontology (GO) function annotation, Kyoto Encyclopedia for Genes and Genomes (KEGG) analysis, and protein-protein interaction (PPI) analysis were conducted. The results showed that the difference between LN and HN stress was mainly reflected in the formation pathways of carbon and nitrogen metabolism. In nitrogen metabolism, the activities of enzymes related to nitrogen absorption and transport are downregulated under LN conditions and nitrogen metabolism is inhibited. During amino acid metabolism, the expression of tyrosine aminotransferase is upregulated to promote the formation of amino acids to compensate for the lack of nitrogen. HN promotes porphyrin and chlorophyll metabolism, amino acid metabolism, alkaloid synthesis, and other nitrogen metabolism processes. LN inhibited glycolysis, the tricarboxylic acid (TCA) cycle, and the pentose phosphate pathway, while HN promoted the synthesis of starch, sucrose, fructose, and mannose. At the same time, it promotes the pentose phosphate pathway in sugar metabolism, inhibits the TCA cycle, and imbalances carbon and nitrogen metabolism. Both HN and LN can promote the biosynthesis of isoquinoline alkaloids and tobadane, piperidine, and pyridine alkaloids. Under LN conditions, it is achieved through the upregulation of tyrosine aminotransferase in amino acid metabolism, whereas under HN conditions, it is achieved through the upregulation of amine oxidase.The study can provide theoretical reference for carbon and nitrogen balance of flue-cured tobacco.
The double-edged sword effect of workaholic leadership on teachers' innovative behavior from cognitive appraisal theory of stress perspective
Authors: Yuangen Bao 
Published: September 2024

Abstract

Although research on workaholic leaders is accumulating, there is no consensus in the literature regarding its effectiveness and our understanding of how it affects employee innovative behavior remains limited. Therefore, based on cognitive appraisal theory of stress, we investigate how and when workaholic leaders either facilitate or hinder teachers' innovative behavior. A multi-wave survey with 566 leader-teacher dyads from primary and junior schools in China found that workaholic leaders initially raise awareness of performance stress among teachers. Overall, workaholic leaders have a dual impact on teachers' innovation: they promote it through challenging appraisal of performance stress but inhibit it through hindrance appraisal. Role breadth self-efficacy significantly moderates this influence mechanism. For teachers with high role breadth self-efficacy, workaholic leaders positively affect their innovative behavior mainly through challenging appraisal of performance stress; for those with low role breadth self-efficacy, workaholic leaders negatively impact their innovative behavior primarily through hindrance appraisal of stress. In conclusion, this study provides an initial exploration into the ambivalent effects of workaholic leadership on employee innovative behavior and offers practical insights for harnessing the positive effects while mitigating the negative effects associated with such leadership behaviors.
Virome compositions indicate that viral spillover is a dead-end between the western honey bee and the common eastern bumblebee
Authors: Schroeder Declan , Mckeown Dean , Hesketh-Best Poppy , Evans Elaine , Helgen Jessica , Warner Jenny , Zimmern Rishia , Masterman Rebecca , Berrington Adrienne , Nemecek Morgan , Costello Clara , Bernstein Elise , Mendel Bridget , Spivak Marla 
Published: September 2024

Abstract

The potential of viral spillover from the western honey bee (Apis mellifera) to other insects is well established. New variants should inevitably emerge following a host expansion, yet to our knowledge no study has shown this within this system. To investigate the outcome of viral spillover, we sequenced the meta-transcriptomes of sympatric A. mellifera (n = 389) and common eastern bumblebee Bombus impatiens (n = 117) over three years. Distinct viromes occurred within each bee species throughout the study duration, with honey bee viruses forming a minor fraction of the bumblebee virome. Viruses shared by both bees shared over 98 % nucleotide identity, and no bumblebee-specific strains of honey bee viruses occurred, as expected if spillover led to a true host expansion involving bumblebee-bumblebee transmission. We conclude that the honey bee viruses, namely deformed wing virus, black queen cell virus, and sacbrood virus, were present in the bumblebees due to environmental exposure or dead-end spillover, and not spillover host expansion.
A hand-washing community-based educational intervention to reduce abscess incidence among people who inject drugs: a cluster randomised controlled clinical trial protocol (the HAWA study protocol)
Authors: Balhan Liam , Aubert Marion , Lacoux Cynthia , Grau Nina , Levy Joachim , Stefanowski Marie-Lou , Perreaut Lola , Sagaon-Teyssier Luis , Deuffic-Burban Sylvie , Cousien Anthony , Michels David , Costa Marie , Roux Perrine 
Published: September 2024

Abstract

Background: Besides the high prevalence of HIV and HCV infections, people who inject drugs (PWID) have a cumulative risk of acquiring skin and soft tissue infections (SSTI) from, among other things, social precariousness, homelessness/unstable housing, and unhygienic injecting practices. We propose to evaluate whether a two-component educational hand hygiene intervention which combines training in hand-washing with the supply of a single-use alcohol-based hand rub, called MONO-RUB, is effective in reducing injection-related abscesses in the PWID population. Specifically, we shall implement a nationwide, two-arm, multi-centre, cluster randomised controlled trial to evaluate the effectiveness and cost-effectiveness of this intervention in PWID.
Methods: HAWA is a community-based participatory research study to be conducted in 22 harm reduction centres (HR) in France; the latter will be randomised into two clusters: centres providing standard HR services and the intervention (i.e., intervention group) and those providing standard HR services only (i.e., control group). After randomization, each cluster will include 220 PWID, with an inclusion period of 12 months and an individual follow-up period of 6 months. For each participant, we will collect data at M0, M3 and M6 from photos of injection sites on the participant’s body, a face-to-face injection-related SSTI questionnaire, and a CATI questionnaire. The primary outcome is the reduction in abscess prevalence between M0 and M6, which will be compared between the control and intervention arms, and measured from observed (photographs) and self-declared (SSTI questionnaire) data. We will also assess the cost-effectiveness of the intervention.
Discussion: The HAWA trial will be the first cluster randomized controlled trial to improve hand hygiene among PWID with a view to reducing SSTI. If effective and cost-effective, the intervention combined with the distribution of MONO-RUBs (or a similar cleaning product) may prove to be an important HR tool, helping to reduce the enormous burden of infection-related deaths and diseases in PWID.
Polymorphic insertions of DcSto miniature inverted-repeat transposable elements reveal trajectories of carrot improvement
Authors: Hadagali Santosh , Stelmach-Wityk Katarzyna , Macko-Podgórni Alicja , Cholin Sarvamangala , Grzebelus Dariusz 
Published: September 2024

Abstract

Miniature inverted-repeat transposable elements (MITEs) are a potent source of polymorphisms in plant genomes. A genotyping system, named DcS-ILP, based on polymorphic insertions of Stowaway MITEs (DcStos) localized in introns and identified in the reference genome DH1 has been developed for carrot. Here, we report an extension of the DcS-ILP genotyping system by incorporation of non-reference insertions identified in resequenced genomes representing the eastern gene pool. We genotyped 52 carrot accessions representing the eastern and western carrot gene pools with 92 markers developed previously (western DcS-ILP panel) together with 84 newly developed markers (eastern DcS-ILP panel). Overall, the DcS-ILP markers revealed a highly structured genetic diversity separating the eastern and the western carrot accessions at K = 2 and differentiating Indian breeding lines from the eastern accessions at K = 3. The eastern DcS-ILP panel proved to be more robust with respect to the eastern carrot gene pool while it provided little information on the western accessions, as many of the DcSto insertions present in the eastern gene pool were absent in the western gene pool. As the western carrot accessions represent improved cultivars, DcSto insertional polymorphisms allowed detection of a selection-driven bottleneck at the improvement stage. Selection in the course of the improvement stage generally operated on standing variation, as the subset of DcSto insertions present in the western carrot likely originated from transposition events preceding the separation of both gene pools. However, occasional frequency shifts in the opposite direction were also revealed, possibly indicating selection for favorable variants associated with DcSto insertions.
Retrospective analysis of severe fever with thrombocytopenia syndrome and construction of a nomogram prediction model for mortality risk factors
Authors: Chen Gang , Du Yuchen , Liang Yaowen , Chen Apeng , Wei Jie , Wu Jinhuan , Ma Xiuchang , Qian Wenxian , Xie Shuqin , Yan Yi , Hu Zheng , Zheng Yishan , Tian Man , Yi Changhua 
Published: September 2024

Abstract

Objective: To investigate high mortality risk factors in severe fever with thrombocytopenia syndrome (STFS) and to create a nomogram model for personalized prediction.
Methods: 523 SFTS patients admitted to the Second Hospital of Nanjing, Nanjing University of Chinese Medicine, between January 2020 and December 2023 were retrospectively analyzed. 75 cases were classified in the death group (D group) and 448 cases in the survival group (S group). A predictive nomogram model was developed base on the independent risk factors that were stepwise screened through univariate analysis, least absolute shrinkage and selection operator (LASSO), and multivariate logistic regression analysis.
Results: Based on stepwise variable screening by univariate analysis, LASSO, and multivariate logistic regression. Age(OR=1.06; 95%CI, 1.03–1.10; P＜0.001), hemorrhagic symptoms (OR=3.39; 95%CI; 1.31–8.78; P=0.012), neurologic symptoms (OR=4.89; 95%CI, 2.72–8.77; P＜0.001), platelet (OR=0.99; 95%CI, 0.98-0.99; P=0 .045), PT (OR=1.32; 95%CI;1.11-1.56; P=0.001), APTT (OR=1.02; 95%CI, 1.01–1.03; P=0.007) and viral load ≥107copies/ml(OR=2.66; 95%CI; 1.36 – 5.20; P =0.004) were independent mortality risk factors in patients with SFTS. The area under the curve (AUC) showed excellent predictive power (AUC = 0.87, 95% CI 0.832-0.909). Calibration curves showed the accuracy of the nomograms assessed. Decision curve analysis (DCA) results showed a greater net benefit when the threshold probability of patient death was between 0.02 and 0.75.
Conclusions: A nomogram model consisting of seven risk factors was successfully constructed, which can be used to predict STFS mortality risk factors early.
Machine Learning Models and Innovative Feature Design for the Classification of Lung Cancer
Authors: Balamurugan Srimahalakshmi , Pari Tamilarasan , K Thyagarajan , P Karthikeyan , M Shivashiga A , S Selin Frajja , A Atthi Sushrutha 
Published: September 2024

Abstract

Lung cancer accounts for the majority of cancer-related deaths worldwide because of its high incidence and usually delayed diagnosis. It affects public health significantly and results in noteworthy rates of morbidity and mortality. A patients quality of life and chance of survival depend on prompt diagnosis and effective care. Currently computer vision and image processing methods are very beneficial for classifying lung cancer. By combining machine learning and manually created features the model presented in this paper effectively classifies lung cancer from CT scan images. The model begins by applying Gaussian filtering (GF) to preprocess and improve the quality of the input images. After that an image slice segmentation technique is used to accurately identify the diseased areas of the images. The Oriented Rapid and Rotated Abstraction (ORB) and Gray Level Co-occurrence Matrix (GLCM) methods are used to extract features. Finally using a Random Forest (RF) classifier the right classifiers for experimental lung cancer images are found. The efficacy and efficiency of the proposed method are evaluated against other current methods using a dataset of CT images of lung cancer. The recommended model showed excellent accuracy and efficiency scoring a 95. twenty-three percent. The experimental results which show the models superiority in a number of performance metrics illustrate its potential for practical application in lung cancer diagnosis and treatment planning.
Classification of faults in friction stir processed composites using a machine learning and ensemble learning approach
Authors: Saxena Pragya , Bongale Arun , Kumar Satish , Kodbal Rajesh 
Published: September 2024

Abstract

Aluminium alloy based surface composites with hard reinforcement particles have wide scope in aerospace and automobile manufacturing industries. In this paper, the aluminium composites, manufactured by friction stir processing (FSP) with varying parameters are investigated for the faults occurred during fabrication process. It explores a machine-learning approach to detect defects of surface hybrid composites with an Al6061 alloy matrix, reinforced with copper and graphene nano-powders, using friction stir processing and a tungsten carbide tool on a milling machine. Multi-sensor time series data (vibration, force, and current) collected during fabrication, is preprocessed and labelled with normal and defective categories (e.g., pin break, brazing break, rough surface, no composite) using visual inspection. The important time domain and frequency domain features are extracted using different libraries in python. Thenafter, various types of feature selection techniques, viz filter, wrapper and embedded methods are implemented to select most relevant features. The selected subset of features from all selection methods used, are applied to different machine learning and ensemble learning classifiers and their performances are evaluated. The optimal combinations of the type of feature selection method and classifier used, are obtained for efficient classification of surface defects in composited formed by FSP. The real time monitoring and defect detection system can be developed in future for the composites developed by FSP using the developed models.
Zinc Finger Protein ZFP82 regulates p53 protein stability through histone deacetylase 3 and enhances neo-adjuvant chemotherapy in esophageal cancer
Authors: ye lin , Peng Weiyan , Wang Hongpeng , Sun Xuejuan , Zhang Lingxiang , Xu Zhong 
Published: September 2024

Abstract

We previous revealed Zinc-Finger Protein 82 (ZFP82) was highly methylated in multiple cancers, including esophageal cancer. Here we show that ZFP82 is highly methylated in patients who experienced non-responders in Neoadjuvant chemotherapy compared to those who are pathological complete response by Infinium Methylation EPIC Bead Chip. The inhibition of p53 activity by histone deacetylase 3 (HDAC3) has been reported, but the precise molecular mechanism is unknown. We verified here that ZFP82 bound to HDAC3 promoter and mediated its interaction with p53, which induced HDAC3 cleavage and ubiquitin-dependent proteasomal degradation. Ectopic ZFP82 induced p53 stabilization and HDAC3 cleavage, indicating an essential role of ZFP82 in p53 activation. Restoration of ZFP82 restored the chemo-sensitivity in esophageal cancer cell both expressing wild type p53 and mutant p53, significantly inhibited in vivo tumorigenicity of esophageal cells and correlated with better prognosis in patients. Our results define a mechanism for p53 stabilization via ZFP82-dependent HDAC3 decay under genotoxic stress conditions and validated a candidate bio-marker of early prediction of patients responds to esophageal cancer Neoadjuvant chemotherapy.
Research on the change of rice components under the condition of reduced fertilization based on Raman spectroscopy analysis
Authors: LI CHANGMING , TAN YONG , LIU CHUNYU , GAO XUN , LV ZHONG 
Published: September 2024

Abstract

The substitution of microbial fertilizer for chemical fertilizer can not only improve soil fertility but also effectively enhance rice quality. To investigate the effect of different amounts of combined application of chemical fertilizer and microbial fertilizer on the amylose content of rice, this study adopts theoretical calculations to compare the preprocessed Raman spectroscopy information of rice with reduced fertilization and establishes a recognition model for the amylose content of rice, which is used to detect the amylose content in rice. Based on the amylose spectral values measured by Raman spectroscopy and the known starch structure and functional groups, the Raman peaks are mainly distributed in the range of 400cm-1 to 1400cm-1. The Raman characteristic peaks at 483cm-1, 869cm-1, 933cm-1, 1082cm-1, 1126cm-1, 1335cm-1, 1385cm-1, and 1455cm-1 exhibit strong vibration modes, which are consistent with its main nutrient component of amylose. By comparing the measured amylose content in the regions treated with microbial fertilizer combined with different amounts of reduced fertilization and the spectral intensity values of amylose measured by Raman spectroscopy, the results show that the treatment of combining conventional amounts of microbial fertilizer with different amounts of reduced chemical fertilizer exhibits a decreasing trend in the amylose content of rice.
Prevalence, and Associated Factors of Cephalopelvic Disproportion Among Pregnant Women Attending Delivery Services at Wachemo University, Nigist Elleni Mohammed Memorial Referral Hospital, Southern Ethiopia
Authors: Borsamo Asfaw , Ermias Desalegn , Asmare Yared , Kifile Kibru 
Published: September 2024

Abstract

Introduction:
Cephalopelvic disproportion (CPD) is a condition in which the baby's head is too large or the mother's pelvis is too small, making it difficult for the baby to pass through the birth canal during labor even if the uterine contraction is strong enough. This can lead to prolonged or obstructed labor, which poses serious risks to both the mother and the baby. The magnitude and risk factors contributing to cephalopelvic disproportion in Ethiopia are poorly understood.
Objectives
To assess the prevalence and associated factors of cephalopelvic disproportion among pregnant women attending delivery service at Wachemo University Nigist Elleni Mohammed Memorial Referral Hospital, Southern Ethiopia.
Methods
An institutional-based quantitative cross-sectional study design was implemented on 384 randomly selected pregnant women attending delivery service at Wachemo University Nigist Elleni Mohammed Memorial Referral Hospital from September-December 2023. The primary data were collected by using structured questionnaires and checklists. The history taking, anthropometric measurements, physical examination, and CPD diagnosis were performed by the gynecologist and obstetricians. The data were collected by the four BSc midwives under strict supervision. After being carefully checked for the completeness, accuracy, and validity of each questionnaire, the data were entered into Epi-data and then exported to SPSS version 25 for analysis. Descriptive statistics, bivariate and multivariable logistic regression analyses were performed.
Results
The prevalence of cephalopelvic disproportion was 13.8%. The decrease in one centimeter of the maternal height triples the chance of developing the CPD [AOR = 3 (95% CI: 1.76–5.24)]. A unit increment in fetal head circumference doubles the likelihood of the developing the CPD [AOR = 2 (95% CI: 1.47–4.95)]. One gram increment in fetal weight increases the chance of developing CPD by 3.5 folds [AOR = 3.8 (95% CI: 1.12–5.88)]. Maternal diabetes mellitus [AOR = 2.8 (95% CI: 1.17–5.32)] was another significantly contributing factor to CPD.
Conclusion
The prevalence of cephalopelvic disproportion was high. The significantly contributing factors for CPD were short maternal height, large fetal birth weight, wider fetal head circumference, and maternal diabetes mellitus. Adequate younghood nutrition, proper dietary intake during pregnancy, complete antenatal service, and controlling blood glucose level were recommended.
The Coordinated Development and Evolutionary Characteristics of "Port-Industry-City" System in Fangchenggang City of Western China
Authors: Ma Chunxiao , Mo Liulin , Wang Shifu 
Published: September 2024

Abstract

Fangchenggang is a key port city in less developed western region of China, which is of typical characteristics and significant practical implications in its "Port-Industry-City" integrated development. The "Port-Industry-City" coordination model is utilized to evaluate the status and level of interactive development, employing dynamic development metrics and the scissors difference method to elucidate the evolutionary characteristics of integrated systems, thereby identifying the drivers and barriers to coordinated growth. Key findings reveal: (1) A consistent rise in the "Port-Industry-City" coordination index, with interaction levels progressing from moderate to high;(2) The complex systems have undergone different evolutionary stages, with "Industry-City" have an initial rise followed by a decline, "Port-City" and "Port-Industry" experiencing a cycle of synergy, low-level symbiosis, and back to synergy; (3) The year 2015 marked the lowest point of evolutionary speed in the "Port-Industry-City" system, with the city and port being lagging factors from 2011–2015, the port from 2016–2019, and subsequently the industry in 2019–2020; (4) The scissors difference shows an unstable "double W" pattern of alternating declines and rises, indicating fluctuating development patterns and highlighting the need for strategic actions in port expansion, refining the urban functional system, promoting the integration of port and urban industrial and value chains.