bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulators of health and lifespan extension in genetically diverse mice on dietary restriction
Authors: Churchill Gary , Francesco Andrea Di , Deighan Andrew , Litichevskiy Lev , Chen Zhenghao , Luciano Alison , Robinson Laura , Garland Gaven , Donato Hannah , Schott Will , Wright Kevin , Raj Anil , Prateek G.V. , Mullis Martin , Hill Warren , Zeidel Mark , Peters Luanne , Harding Fiona , Botstein David , Korstanje Ron , Thaiss Christoph , Freund Adam 
Published: January 2024

Abstract

Caloric restriction (CR) delays aging and extends healthy lifespan in multiple species. Alternative forms of dietary restriction (DR) such as intermittent fasting (IF) have drawn significant interest as a more sustainable regimen, but the landscape of longevity-promoting dietary interventions remains largely unexplored. Identifying the most robust, efficacious, and experimentally tractable modes of DR is key to better understanding and implementing effective longevity interventions for human healthspan. To that end, we have performed an extensive assessment of DR interventions, investigating the effects of graded levels of CR (20% and 40%) and IF (1 day and 2 days of fasting per week) on the health and survival of 960 genetically diverse female mice. All interventions extended lifespan, although only CR significantly reduced the mortality doubling time. Notably, IF did not extend lifespan in mice with high pre-intervention bodyweight. We carried out extensive phenotyping to determine the health effects of long-term DR and to better understand the mechanisms driving within-diet heterogeneity in lifespan. The top within-diet predictor of lifespan was the ability of mice to maintain bodyweight through periods of handling, an indicator of stress resilience. Additional predictors of long lifespan include specific changes in immune cells, red blood cell distribution width (RDW), and retention of adiposity in late life. We found that lifespan is heritable (h2 = 0.24), and that genetic background has a larger influence on lifespan than dietary interventions. We identified a significant association for lifespan and RDW on chromosome 18 that explained 4.3% of the diet-adjusted variation in lifespan. Diet-induced changes on metabolic traits, although beneficial, were relatively poor predictors of lifespan, arguing against the long-standing notion that DR works by counteracting the negative effects of obesity. These findings indicate that improving health and extending lifespan are not synonymous and that metabolic parameters may be inappropriate endpoints for evaluating aging interventions in preclinical models and clinical trials.
Metabolic Reprogramming of the Neovascular Niche Promotes Regenerative Angiogenesis in Proliferative Retinopathy
Authors: Joyal Jean-Sebastien , Cagnone Gael , Pundir Sheetal , Kim Jin Sung , Rivera Jose , Agnihotri Tapan , Harvey Noemie-Rose , Heckel Emilie , Betus Charlotte , Chen Mei , Situ Anu , Gaub Perrine , Kim Nicholas , Das Ashim , Leclerc Severine , Wünnemann Florian , Andelfinger Gregor , Crespo-Garcia Sergio , Dubrac Alexandre , Rezende Flavio , Clish Clary , Maranda Bruno , Smith Lois , Sapieha Przemyslaw 
Published: January 2024

Abstract
Healthy blood vessels supply neurons to preserve metabolic function. In blinding proliferative retinopathies (PRs), pathological neovascular tufts often emerge in lieu of needed physiological revascularization of the ischemic neuroretina. Here we show that metabolic shifts in the neurovascular niche define angiogenic fate. Fatty acid oxidation (FAO) metabolites accumulated in human and murine retinopathy samples. Neovascular tufts with a distinct single-cell transcriptional signature highly expressed FAO enzymes. The deletion of Sirt3, an FAO regulator, shifted the neurovascular niche metabolism from FAO to glycolysis and suppressed tuft formation. This metabolic transition increased Vegf expression in astrocytes and reprogrammed pathological EC to a physiological phenotype, hastening vascular regeneration of the ischemic retina. Hence, strategies to change the metabolic environment of vessels could promote a regenerative phenotype in vascular diseases.
Design of a Novel Intelligent Cooperative Type-2 Fuzzy Logic Controller and Fractional-Order Synergetic Approach for Wind Energy Systems Based MPPT Methodology
Authors: babes badreddine , Annane Mohamed El Moustapha , Ounissi Amor , Abdessemed Rachid , babes badreddine 
Published: January 2024

Abstract

This article discusses the analysis, design and reel-time implementation of an intelligent cooperative control technique to enhance the maximum power point tracking (MPPT) of wind power generators with isolated loads. The proposed intelligent cooperative MPPT algorithm was created based on an interval type-2 fuzzy logic system (IT2-FLS) MPP estimator, which can handle control rule uncertainties under significant dynamic environmental changes. The suggested fractional nonlinear synergetic controller (FNSC) comprises the mechanical velocity regulator that enforces the wind generator to produce the greatest amount of energy by acting on the DC/DC step-up converter duty ratio. The intelligent cooperative MPPT controller is tested in an experiment using a permanent magnet synchronous generator (PMSG)-based wind turbine (WT) structure to ensure that it can operate the wind generator at their maximum peak powers regardless of weather conditions. According to the experimental findings, the suggested intelligent cooperative MPPT controller provides quick, precise, and efficient tracking speed, high levels of operational stability, high MPPT efficiency, and robust performance against uncertainties arising from disturbance to inputs of the wind energy system. A comparison with IT1-FLS-based MPPT technique is also discussed to highlight the performances of our intelligent cooperative MPPT method.
Research on the Disturbance Suppression Property of Multi-Predecessor Following Vehicular Platoon
Authors: Yang Xiujian , Wang Shenyi , Zhang Shengbin , Wu Xiangji 
Published: January 2024

Abstract

To utilize the V2V technology in vehicular platoon, in this paper we focus on the V2V based multi-predecessor following (MPF) vehicular platoon to investigate the disturbance suppressing property to external disturbance and the movement of the leader vehicle. The anti-disturbance property for both the homogeneous and heterogeneous MPF platoons are investigated based on the method of sensitivity analysis of error propagation to disturbance. The effects of the platoon parameters including the control gains and the weight of communicated acceleration from the preceding vehicles have been analyzed. The results indicate that increasing the spacing error control gain ke and speed error control gain kev for following the immediately predecessor can generally benefit for reducing the sensitivity of error propagation to external disturbances. However, the effect of control gain ke, kev on the sensitivity of error propagation to the movement of the leader vehicle is not obvious. The greater the weight for the communicated acceleration from the vehicles ahead near the current vehicle is, the smaller the sensitivity of error propagation to external disturbance shall be. However, there is no consistent impact of the weight on the sensitivity to the movement of the leader vehicle. Increasing of the acceleration control gain kea generally reduces the anti-disturbance capability for the homogeneous vehicular platoon, but nonlinear variation trend is found for the heterogeneous platoons.
Accurate Crop Spraying with RTK and Machine Learning on an Autonomous Field Robot
Authors: Wijesundara W. M. T. D. , Wanigathunga T. D. , Waas M. N. C. , Hithanadura R. T. , Munasinghe S. R. 
Published: January 2024

Abstract
The agriculture sector requires a lot of labor and resources. Hence, the farmers are constantly being pressed for technology and automation to be cost-effective. In this context, autonomous robots can play a very important role in carrying out agricultural tasks such as spraying, sowing, inspection, and even harvesting. This paper presents one such autonomous robot that is able to identify plants and spray agrochemicals precisely. The robot uses machine vision technologies to find plants and RTK-GPS technology to navigate the robot along a predetermined path. The experiments were conducted in a field of potted plants in which successful results have been obtained.
What frog gill resorption brings: loss of function, cell death, and metabolic reorganization
Authors: Chang Liming , Zhu Wei , Jiang Jianping 
Published: January 2024

Abstract
Background
Anuran metamorphosis, driven by thyroid hormone-mediated processes, orchestrates intricate morphological and functional transformations for the transition from aquatic tadpoles to terrestrial life, providing a valuable model for studying organ functionalization, remodeling, and regression. Larva-specific organ regression is one of the most striking phenomena observed during anuran metamorphic climax. While previous studies extensively analyzed tail regression mechanisms, the molecular processes governing gill resorption remain elusive.
Results
We employ Microhyla fissipes as a mode, utilizing a comprehensive approach involving histological analysis, transmission electron microscopy, and transcriptomics to unravel the gill development and resorption. The pro-metamorphic stages reveal highly developed gill structures, emphasizing their crucial role as the primary respiratory organ for tadpoles. Transcriptomic analysis highlights the upregulation of genes associated with enhanced respiratory efficiency, such as hemoglobin and mucins. However, as metamorphosis progresses, gill filaments undergo shrinkage, blood vessel density decreases, and structural changes signify a decline in respiratory function. The molecular mechanisms driving gill resorption involve the thyroid hormone pathway, particularly the upregulation of thyroid hormone receptor β, genes associated with the tumor necrosis factor pathway and matrix metalloproteinases. Two distinct pathways orchestrate gill resorption, involving apoptosis directly induced by thyroid hormone and cell death through extracellular matrix degradation. In addition, metabolic reorganization during metamorphosis is a complex process, with tadpoles adapting their feeding behavior and mobilizing energy storage organs. The gills, previously overlooked, are unveiled as potential energy storage organs undergoing metabolic reorganization. Transcriptomic analysis reveals dynamic changes in metabolism-related genes, indicating decreased protein synthesis and energy production and enhanced substrate transport and metabolism during metamorphic climax.
Conclusion
This study sheds light on the structural, molecular, and metabolic dynamics during gill development and resorption in M. fissipes. The findings deepen our understanding of the intricate mechanisms governing organ regression and underscore the pivotal role of gill in facilitating the transition from aquatic to terrestrial habitats.
Seed germination and phytotoxicity evaluation of Vigna radiata and Allium cepa via triple-doped green hematite nanoparticles and their photocatalytic effect
Authors: Kumar Pankaj , Thakur Naveen 
Published: January 2024

Abstract
Triple transition (Ni, Cu, and Zn) doped hematite nanoparticles (α-Fe2O3 NPs) have made significant advances in biological, environmental, as well as other interdisciplinary fields of study, due to their stability and relative lack of toxicity. The α-Fe2O3 NPs has been made simple, effective, and ecologically benign by utilizing the reducing and capping capability of Azadirachta indica aqueous leaf extract. Synthesized material has been studied by XRD, UV-visible, Raman, FTIR, VSM, SEM, and TEM techniques. Doped α-Fe2O3 NPs possessed a rhombohedral phase and corundum structure that was exceptionally pure and well crystalline. The synthesized α-Fe2O3 NPs had a size of 22.83 nm and were irregular-spheroidal in shape, according to SEM and TEM examination. Synthesized NPs show ferromagnetic characteristics, according to VSM research. The photocatalytic activity of doped α-Fe2O3 NPs was evaluated by methyl orange (MO) (95%), methylene blue (MB) (97%), congo red (CR) (92%), and eosin yellowish (EY) (90%) efficiently dyes degradation, when exposed to visible light for 90–100 minutes. As a result, the NPs are suited for applications where reusability is a crucial essential feature due to the modest drop in the photocatalytic activity after four cycles. This current study examines the effects of α-Fe2O3 NPs on the seed germination of Vigna radiata (mung bean) and phytotoxicity study biomass accumulation Allium cepa (onion) through a series of germination assays. For this reason, it is crucial to manage the materials size, morphology, and magnetic properties in order to produce well-tailored photocatalysts.
Land-Use and Habitat Quality Prediction in the Fen River Basin Based on PLUS and InVEST Models
Authors: Hou Yanjun , Wu Juemei 
Published: January 2024

Abstract
Assessment and prediction analyses of the ecological environmental quality of river basins are pivotal to realize ecological protection and high-quality coordinated development. The PLUS and InVEST models were used to analyze the spatiotemporal evolution characteristics of land-use in the Fen River Basin and simulate the spatial pattern of land-use under natural development (ND), ecological protection (EC), and economic development (ED) scenarios in 2030, as well as evaluate habitat quality (HQ) and its spatiotemporal variation characteristics from 2000 to 2030. From 2000 to 2020, the Fen River Basin consisted primarily of cultivated land, followed by forests, and then unused land. Habitat quality in the Fen River Basin showed a downward trend from 2000 to 2020. Between 2010 and 2020, the rate of decline decreased, and by 2030, the HQ in the EC scenario exhibited improvement compared to 2020. However, there was a reduction in HQ in the ND and ED scenarios and there were obvious heterogeneity in spatial distribution, showing the characteristics of "low middle and high edge.” The cultivated land was converted into forests, construction land, and grasslands, and the conversion of construction land and forests to cultivated land dominated the changes in HQ in the Fen River Basin.
Structural Equation Modelling to Assess the Influencing Factors of Newly Employed Nurses’ Adaptation in Malaysia
Authors: Baharum Hafidza , Ismail Aniza , Awang Zainudin , McKenna Lisa , Ibrahim Roszita , Mohamed Zainah , Hassan Nor Haty , Haniff Abdul 
Published: January 2024

Abstract

Objective The transition phase is a common custom experienced by graduate nurses, who are required to adapt quickly to their new workplace as it is a prerequisite for a successful transition. However, workplace adaptation is very challenging and may affect nurses’ future career prospects if not managed properly. Therefore, this study aimed to identify the factors that facilitate newly employed nurses’ adaptation and integration at Ministry of Health (MOH)-run state hospitals in Malaysia. The study framework was derived and adapted from the Roy adaptation model (RAM) and organisational socialisation theories.
Design This quantitative study was conducted from May 2021 to December 2021.
Setting The sample population was newly employed nurses working at state hospitals with 1–2 years of service experience.
Participants A total of 496 newly hired nurses from MOH state hospitals participated in this study. The data was analysed using covariance-based structural equation modelling and IBM SPSS Amos 24.
Results The participants perceived that workplace organisation (OC), academic institution contribution (AIC), and new nurse’s personality traits (PT) contributed approximately 36% to newly employed nurses’ adaptation (NENA). PT partially mediated the relationship between OC and NENA and between AIC and NENA.
Conclusions The findings could be useful to nursing authorities. Additionally, it is also recommended that a nurse’s personality be developed, emphasised, and enhanced through continuous programmes or training to ensure that they can easily adapt to their new working environment. Moreover, academic institutions and work organisations should be encouraged to collaborate to develop improvement cycles that facilitate newly employed nurses’ prompt and efficient adaptation at MOH hospitals during transition.
Investigation on the molecular mechanism of SPA interference with osteogenic differentiation of bone marrow mesenchymal stem cells
Authors: Wen Hong-jie , Zhu Shou-yan , Yang Hua-gang , Guo Feng-yong 
Published: January 2024

Abstract
The binding of Staphylococcus aureus protein A (SPA) to osteoblasts induces apoptosis and inhibits bone formation. Bone marrow derived mesenchymal stem cells (BMSC) has the ability to differentiate into bone, fat and cartilage. Hence, it was vital to analyze the molecular mechanism of SPA affecting osteogenic differentiation. We introduced transcript sequence data to screen out differentially expressed genes (DEGs) related to SPA interfered BMSC. Protein-protein interaction (PPI) network of DEGs was established to screen biomarkers associated with BMSC with SPA interference. ROC curve was plotted to evaluate the ability of biomarkers to distinguish between two groups of samples. We finally performed GSEA and regulatory analysis based on biomarkers. We identified 321 DEGs. Subsequently, 6 biomarkers (Cenpf, Kntc1, Nek2, Asf1b, Troap and Kif14) were identified via hubba algorithm in PPI. ROC analysis showed that six biomarkers could clearly distinguish normal differentiated and SPA interfered BMSC. Moreover, we found that these biomarkers was mainly enriched in the ‘Pyrimidine metabolism’ pathway. We also constructed ‘71 circRNAs-14 miRNAs-5 mRNAs’ and ‘10 lncRNAs-5 miRNAs-2 mRNAs’ networks. Kntc1 and Asf1b genes were associated with rno-miR-3571. Nek2 and Asf1b genes were associated with rno-miR-497-5p. Finally, we found significant lower expression of six biomarkers in SPA interfered group compared to the normal group by RT-qPCR. Overall, we obtained 6 biomarkers (Cenpf, Kntc1, Nek2, Asf1b, Troap and Kif14) related to SPA interfered BMSC, which laid a theoretical foundation for exploring the key factors of SPA affecting osteogenic differentiation.
Mitigating Occupational Mental Health-Related Factors to Prevent Manufacturing Industry Accidents
Authors: Charles John Thomas , Jannet Sabitha , J Clement Sudhahar 
Published: January 2024

Abstract

Preventing manufacturing industry accidents associated with mental health in the workplace is a formidable challenge. It is essential to grasp how these factors interact with mental health issues and how they lead to accidents, as this knowledge is critical for the formulation of effective preventive strategies. Therefore, extensive research and data collection are indispensable to precisely identify the specific mental health concerns impacting manufacturing employees and their role in accident occurrences. Collecting a data by the interview schedules with the safety professionals, inspectors and auditors from the manufacturing industries which the data were collected and separated. Once these factors are recognized, customized interventions can be put into action to mitigate their influence. Establishing an environment that fosters mental health awareness and support serves as a foundational pillar in the endeavor to counteract mental health-related factors in the manufacturing sector. Overcoming the existing stigma associated with mental health matters and promoting open communication among employees constitutes a significant hurdle. Employers must proactively strive to create a workplace culture where employees feel at ease discussing their mental health without apprehension of negative consequences. Achieving this objective involves implementing training programs, raising awareness, and garnering steadfast support from organizational leaders. When employees acknowledge that their well-being is given top priority, they are more inclined to seek help for mental health issues, thereby contributing to the prevention of accidents in the workplace. This paraphrase underscores the urgent need to address mental health-related factors to avert manufacturing industry accidents and elucidates the multifaceted approach required for success.
Medical records condensation: a roadmap towards healthcare data democratisation
Authors: Thakur Anshul , Wang Yujiang , Dong Mingzhi , Ma Pingchuan , Petridis Stavros , Shang Li , Zhu Tingting , Clifton David 
Published: January 2024

Abstract
The prevalence of artificial intelligence (AI) has envisioned an era of healthcare democratisation that promises every stakeholder a new and better way of life. However, the advancement of clinical AI research is significantly hurdled by the dearth of data democratisation in healthcare. To truly democratise data for AI studies, challenges are two-fold: 1. the sensitive information in clinical data should be anonymised appropriately, and 2. AI-oriented clinical knowledge should flow freely across organisations. This paper considers a recent deep-learning advent, dataset condensation (DC), as a stone that kills two birds in democratising healthcare data. The condensed data after DC, which can be viewed as statistical metadata, abstracts original clinical records and irreversibly conceals sensitive information at individual levels; nevertheless, it still preserves adequate knowledge for learning deep neural networks (DNNs). More favourably, the compressed volumes and the accelerated model learnings of condensed data portray a more efficient clinical knowledge sharing and flowing system, as necessitated by data democratisation. We underline DC's prospects for democratising clinical data, specifically electrical healthcare records (EHRs), for AI research through experimental results and analysis across three healthcare datasets of varying data types.
Biological characterization and complete genome analysis of the newly isolated Serratia liquefaciens phage vB_SlqS_ZDD2
Authors: Zhao Qian , Han Linzi , Chu Chen , Wang Lili , Zhuang Likun , Yuan Rongtao 
Published: January 2024

Abstract

A novel lytic phage named vB_SlqS_ZDD2 infecting Serratia liquefaciens was isolated from hospital sewage. BLASTn analysis showed that the genome sequence of phage vB_SlqS_ZDD2 shared 0% query coverage with other phages in the NCBI database. Phenotype and phylogeny analysis indicated that this phage might be a new member of the order Caudoviricetes. Genome sequence displayed that phage vB_SlqS_ZDD2 has a 49,178 bp dsDNA with 55% GC content and has 74 open reading frames. Besides, the phage exhibited strong lytic activity and a wide range of pH (3-12) and temperature tolerance (80℃, 80 min).