bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design, Analysis and Optimization of Composite Propeller Shaft
Authors: Vinod T A , Katta Bharath , Giridhara G. 
Published: May 2024

Abstract
Most of the automobiles have Rear wheel drive and front engine installation consists of a transmission shaft. Substitution of conventional metallic (SM45C) Propeller Drive Shaft with the composite (CFRP) structure has many advantages. Composite materials have acquired prominence in the engineering industry due to their remarkable strength-to-weight ratio, corrosion resistance, and adaptability. This paper explores the multifaceted process of designing, analysing, and optimizing composite propeller shafts, with a primary focus on their application in marine and automotive industries, aiming to maximize performance while reducing weight. The design phase initiates by establishing precise requirements, encompassing torque loads, rotational speeds, environmental conditions, and safety factors. Material selection is a pivotal decision point, considering factors like fiber type, resin matrix, and layup orientation. Advanced Finite Element Analysis (FEA) technologies are used to simulate the mechanical behaviour of composite propeller shafts under a variety of operational scenarios, assisting in the identification of stress concentrations. Deformations, as well as key failure modes. The design process is iterative. The feedback from these simulations is used to improve the basic design. The analysis phase stress distribution, torsional vibrations, and dynamic behaviour of the composite propeller shaft. A comprehensive study of various layup configurations and boundary conditions is conducted to assess their impact on structural performance and reliability. Additionally, manufacturing considerations, encompassing fabrication techniques, quality control, and cost-effectiveness, are addressed to ensure practical feasibility. The goal of the optimization phase is to lower the weight of the composite propeller shaft while retaining structural integrity and operational reliability. The optimisation outcomes provide information on the best material mix, layup sequence, and geometric factors that achieve the best balance of weight reduction, greater performance and productivity. The findings from this study contribute substantially to the advancement of composite propeller shaft technology, offering engineers valuable insights into the intricacies of design, analysis, and optimization processes. By harnessing the ability of composite materials effectively, industries can realize significant benefits, including reduced fuel consumption, improved efficiency, and enhanced overall system performance, resulting in more sustainable and competitive products for the maritime and automotive sectors.
Green synthesis of silver nanoparticles using Ocimum tenuiflorum and Azadirachta indica leaf extract and their antibacterial activity
Authors: Prathibha B. S , Harshitha N , Neha D R , Pranathi C N , Kumar Disha V , Lakshmi G C 
Published: May 2024

Abstract
As green nanotechnology creates, researchers are growing increasingly interested in the ecologically benign creation of nanoparticles. Due to their unique biological uses and physiologically active plant metabolites that aid in green synthesis, biosynthesized nanoparticles are garnering interest. This work describes a simple method of synthesising silver nanoparticles using tulsi (Ocimum tenuiflorum) and neem (Azadirachta indica) leaf extracts. The plant extracts operate as reducing agents, with silver nitrate acting as a precursor. The formation of silver nanoparticles was confirmed by the colour changing from greenish brown to dark brown. The leaf broth caused the aqueous silver ions to reduce in size and form silver nanoparticles in a green way. The biosynthesized silver nanoparticles were characterised using XRD and a UV-Vis spectrophotometer. It has been discovered that tulsi and neem leaf extracts have the ability to convert silver ions into silver nanoparticles in less than ten minutes of reaction time. Additionally, the biosynthesised AgNPs’ antibacterial properties against both gram-positive and gram-negative bacterial strains were assessed. Therefore, this method may be applied to the rapid and safe biosynthesis of stable silver nanoparticles for the environment.
Effect of synchronized and unsynchronized boundary temperature modulation on the regulation of heat transfer in a ferrofluid with Fe3O4
nanoparticles
Authors: Chandrashekara N. P. , Rajashree S. 
Published: May 2024

Abstract
Linear and non-linear analysis was carried out for a temperature modulated Rayleigh-Bénard ferroconvection (RBF) problem using Lorenz and Ginzburg-Landau models. The parallel and horizontal plates of infinite extension enclosing the ferrofluid (with nanosized Fe3O4 - magnetite), is cooled from the top and heated from the bottom and is exposed to an exterior static magnetic field which manipulates the flow of a ferrofluid. The Lorenz model in its linear form manifests the stationary Rayleigh number expression, whereas the nonlinear form of the model leads to Ginzburg-Landau equation determining the amplitude, which aids to quantify the amount of heat transfer in ferrofluids with the effect of temperature modulation. The influence of various parameters like Lewis number, concentration Rayleigh number, ferromagnetic parameters on the onset of ferroconvection has been discussed in detail using marginal stability curves. On the other hand, the effect of different parameters like ferro-nanoparticle volume fraction, modulation frequency, phase angle, temperature modulation on heat transfer in ferrofluids has been analyzed and represented graphically.
Zero Poverty Society
Authors: Marchal Sarah , Marx Ive 
Published: May 2024

Abstract
This book is about preventing poverty. The notion that every person living amidst the relative affluence of the rich world has a right to a minimum income enabling social participation, be it frugally and soberly, holds as a fundamental matter of social justice to most people. But how can we make sure that every person has a decent minimum income allowing for a life in dignity in societies rich enough to afford such a right? How can we ensure that minimum income support is cost-effective and compatible with other goals such as promoting work effort, self-reliance, and upward mobility? How can political support for such schemes be fostered and made robust? This book assesses the current state of minimum income protection in the rich world, building on original empirical analysis and thorough literature reviews. What are best practices to learn from? It also engages with debates on topics as diverse as optimal targeting and means-testing, administrative complexity, non-take-up, behavioural economics, the political economy of minimum income protection, and basic income. Sarah Marchal and Ive Marx conclude that more adequate poverty prevention is possible, without the costs having to be prohibitive. However, they are sceptical about ‘silver-bullet’ solutions such as basic income. Adequate minimum income protection is not a matter of getting one scheme or policy right. It is a matter of getting multiple policy levers right, in the right configuration. Incremental, context-conscious expansion is the way forward if we really care about the most vulnerable.
Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes
Authors: Hu Kaixin , Meyer Fernando , Deng Zhi-Luo , Asgari Ehsaneddin , Kuo Tzu-Hao , Münch Philipp C , McHardy Alice C 
Published: May 2024

Abstract
The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been explored for this task, but systematic benchmarking is still needed. Here, we evaluated four state-of-the-art ML methods (Kover, PhenotypeSeeker, Seq2Geno2Pheno and Aytan-Aktug), an ML baseline and the rule-based ResFinder by training and testing each of them across 78 species–antibiotic datasets, using a rigorous benchmarking workflow that integrates three evaluation approaches, each paired with three distinct sample splitting methods. Our analysis revealed considerable variation in the performance across techniques and datasets. Whereas ML methods generally excelled for closely related strains, ResFinder excelled for handling divergent genomes. Overall, Kover most frequently ranked top among the ML approaches, followed by PhenotypeSeeker and Seq2Geno2Pheno. AMR phenotypes for antibiotic classes such as macrolides and sulfonamides were predicted with the highest accuracies. The quality of predictions varied substantially across species–antibiotic combinations, particularly for beta-lactams; across species, resistance phenotyping of the beta-lactams compound, aztreonam, amoxicillin/clavulanic acid, cefoxitin, ceftazidime and piperacillin/tazobactam, alongside tetracyclines demonstrated more variable performance than the other benchmarked antibiotics. By organism, Campylobacter jejuni and Enterococcus faecium phenotypes were more robustly predicted than those of Escherichia coli, Staphylococcus aureus, Salmonella enterica, Neisseria gonorrhoeae, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii, Streptococcus pneumoniae and Mycobacterium tuberculosis. In addition, our study provides software recommendations for each species–antibiotic combination. It furthermore highlights the need for optimization for robust clinical applications, particularly for strains that diverge substantially from those used for training.
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy
Authors: Guan Jiahui , Yao Lantian , Xie Peilin , Chung Chia-Ru , Huang Yixian , Chiang Ying-Chih , Lee Tzong-Yi 
Published: May 2024

Abstract
Antiviral peptides (AVPs) have shown potential in inhibiting viral attachment, preventing viral fusion with host cells and disrupting viral replication due to their unique action mechanisms. They have now become a broad-spectrum, promising antiviral therapy. However, identifying effective AVPs is traditionally slow and costly. This study proposed a new two-stage computational framework for AVP identification. The first stage identifies AVPs from a wide range of peptides, and the second stage recognizes AVPs targeting specific families or viruses. This method integrates contrastive learning and multi-feature fusion strategy, focusing on sequence information and peptide characteristics, significantly enhancing predictive ability and interpretability. The evaluation results of the model show excellent performance, with accuracy of 0.9240 and Matthews correlation coefficient (MCC) score of 0.8482 on the non-AVP independent dataset, and accuracy of 0.9934 and MCC score of 0.9869 on the non-AMP independent dataset. Furthermore, our model can predict antiviral activities of AVPs against six key viral families (Coronaviridae, Retroviridae, Herpesviridae, Paramyxoviridae, Orthomyxoviridae, Flaviviridae) and eight viruses (FIV, HCV, HIV, HPIV3, HSV1, INFVA, RSV, SARS-CoV). Finally, to facilitate user accessibility, we built a user-friendly web interface deployed at https://awi.cuhk.edu.cn/∼dbAMP/AVP/.
Structural and functional abnormalities of left-sided cardiac chambers in Barlow’s disease without significant mitral regurgitation
Authors: Meucci Maria Chiara , Mantegazza Valentina , Wu Hoi W , van Wijngaarden Aniek L , Garlaschè Anna , Tamborini Gloria , Pepi Mauro , Bax Jeroen J , Ajmone Marsan Nina 
Published: May 2024

Abstract

Aims
This study aims to explore the presence of left ventricular (LV) and left atrial (LA) morphological and functional abnormalities in patients with Barlow’s disease (BD) without significant mitral regurgitation (MR) and to investigate whether these abnormalities may predict MR progression.

Methods and results
Consecutive patients with BD were retrospectively identified from two tertiary centres; those with MR graded from trivial to mild-to-moderate were selected and matched with healthy controls in a 1:1 ratio. Conventional and speckle-tracking echocardiographic data were collected. The development of moderate-to-severe or greater MR was evaluated on follow-up echocardiograms. Patients with BD (n = 231) showed increased LV dimensions and indexed LV mass (LVMi) in comparison with controls (P &lt; 0.001); LV remodelling worsened with higher MR severity and was accompanied by an increased prevalence of eccentric LV hypertrophy (eLVH). Moreover, BD patients had larger LA volumes and more impaired LA reservoir strain vs. controls (P &lt; 0.001), while LV strain was similar between the two groups. Multivariable linear regression analyses in the overall population identified BD and MR grade as independent predictors of remodelling markers (LV dimensions, LVMi, and LA volume) and BD as independent correlate of LA strain. MR progression was observed in 51 BD subjects (out of 170 patients with available follow-up). On Cox regression analysis, age, eLVH, mild-to-moderate MR, and mitral annular disjunction (MAD) emerged as independent predictors of MR progression.

Conclusion
BD patients without significant MR show early LV and LA remodelling, together with reduced LA strain. MR progression was associated with eccentric LV remodelling, MAD, and MR severity.
Artificial intelligence coronary computed tomography, coronary computed tomography angiography using fractional flow reserve, and physician visual interpretation in the per-vessel prediction of abnormal invasive adenosine fractional flow reserve
Authors: Chiou Andrew , Hermel Melody , Sidhu Rajbir , Hu Eric , van Rosendael Alexander , Bagsic Samantha , Udoh Emem , Kosturakis Ricardo , Aziz Mohammad , Ruiz Christina Rodriguez , Newlander Shawn , Khadivi Bahram , Brown Jason Parker , Charlat Martin L , Teirstein Paul S , Stinis Curtiss T , Schatz Richard , Price Matthew J , Cavendish Jeffrey , Salerno Michael , Robinson Austin , Bhavnani Sanjeev , Gonzalez Jorge , Wesbey George E 
Published: May 2024

Abstract

Aims
A comparison of diagnostic performance comparing AI-QCTISCHEMIA, coronary computed tomography angiography using fractional flow reserve (CT-FFR), and physician visual interpretation on the prediction of invasive adenosine FFR have not been evaluated. Furthermore, the coronary plaque characteristics impacting these tests have not been assessed.

Methods and results
In a single centre, 43-month retrospective review of 442 patients referred for coronary computed tomography angiography and CT-FFR, 44 patients with CT-FFR had 54 vessels assessed using intracoronary adenosine FFR within 60 days. A comparison of the diagnostic performance among these three techniques for the prediction of FFR ≤ 0.80 was reported. The mean age of the study population was 65 years, 76.9% were male, and the median coronary artery calcium was 654. When analysing the per-vessel ischaemia prediction, AI-QCTISCHEMIA had greater specificity, positive predictive value (PPV), diagnostic accuracy, and area under the curve (AUC) vs. CT-FFR and physician visual interpretation CAD-RADS. The AUC for AI-QCTISCHEMIA was 0.91 vs. 0.76 for CT-FFR and 0.62 for CAD-RADS ≥ 3. Plaque characteristics that were different in false positive vs. true positive cases for AI-QCTISCHEMIA were max stenosis diameter % (54% vs. 67%, P &lt; 0.01); for CT-FFR were maximum stenosis diameter % (40% vs. 65%, P &lt; 0.001), total non-calcified plaque (9% vs. 13%, P &lt; 0.01); and for physician visual interpretation CAD-RADS ≥ 3 were total non-calcified plaque (8% vs. 12%, P &lt; 0.01), lumen volume (681 vs. 510 mm3, P = 0.02), maximum stenosis diameter % (40% vs. 62%, P &lt; 0.001), total plaque (19% vs. 33%, P = 0.002), and total calcified plaque (11% vs. 22%, P = 0.003).

Conclusion
Regarding per-vessel prediction of FFR ≤ 0.8, AI-QCTISCHEMIA revealed greater specificity, PPV, accuracy, and AUC vs. CT-FFR and physician visual interpretation CAD-RADS ≥ 3.
Prevalence and correlates of anxiety and depressive symptoms after spontaneous coronary artery dissection: a cross-sectional study
Authors: Murphy Barbara M , Le Grande Michael R , Rogerson Michelle C , Hesselson Stephanie , Iismaa Siiri E , Graham Robert M , Jackson Alun C 
Published: May 2024

Abstract

Aims
Spontaneous coronary artery dissection (SCAD) is recognized as a particularly stressful cause of heart attack. However, few studies have documented the prevalence of post-SCAD anxiety and depressive symptoms, or identified patients most at risk. This study documents the prevalence and correlates of post-SCAD anxiety and depressive symptoms.

Methods and results
Three hundred ten (95% women) SCAD survivors were recruited by the Victor Chang Cardiac Research Institute from a database of 433 SCAD survivors. Participants completed an online questionnaire to gather demographic, medical, and psychosocial information, including the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9). Bivariate and multivariate analyses were undertaken to identify the significant demographic, psychosocial, and medical correlates of post-SCAD anxiety and depressive symptoms. Time between SCAD and questionnaire completion varied from 2 months to 18 years (mean = 5.5 years; SD = 3.5 years). Rates of anxiety and depressive symptoms were 20.7% (GAD-7 ≥ 10) and 20.9% (PHQ-9 ≥ 10), respectively, and did not vary by time since event. In bivariate analyses, correlates (P &lt; 0.05) of anxiety and depressive symptoms were absence of a close confidante, financial strain, mental health diagnosis pre-SCAD, comorbid obesity, not being in paid employment (anxiety only), younger age (depression only), and not knowing another SCAD survivor (depression only). Variables retained in multivariate models were absence of a close confidante, financial strain, not being in paid employment, mental health diagnosis pre-SCAD (depression only), and younger age (depression only).

Conclusion
This study demonstrated that over one in four SCAD survivors experiences either anxiety or depressive symptoms after SCAD, and identified those who may need additional support in their psychological recovery.
Locally adaptive inversions in structured populations
Authors: Mackintosh Carl , Scott Michael F , Reuter Max , Pomiankowski Andrew 
Published: May 2024

Abstract
Inversions have been proposed to facilitate local adaptation, by linking together locally coadapted alleles at different loci. Prior work addressing this question theoretically has considered the spread of inversions in “continent-island” scenarios in which there is a unidirectional flow of maladapted migrants into the island population. In this setting, inversions capturing locally adaptive haplotypes are most likely to invade when selection is weak, because stronger local selection (i) more effectively purges maladaptive alleles and (ii) generates linkage disequilibrium between adaptive alleles, thus lessening the advantage of inversions. We show this finding only holds under limited conditions by studying the establishment of inversions in a more general two-deme model, which explicitly considers the dynamics of allele frequencies in both populations linked by bidirectional migration. In this model, the level of symmetry between demes can be varied from complete asymmetry (continent-island) to complete symmetry. For symmetric selection and migration, strong selection increases the allele frequency divergence between demes thereby increasing the frequency of maladaptive alleles in migrants, favoring inversions—the opposite of the pattern seen in the asymmetric continent-island scenario. We also account for the likelihood that a new inversion captures an adaptive haplotype in the first instance. When considering the combined process of capture and invasion in “continent island” and symmetric scenarios, relatively strong selection increases inversion establishment probability. Migration must also be low enough that the inversion is likely to capture an adaptive allele combination, but not so low as to eliminate the inversion’s advantage. Overall, our analysis suggests that inversions are likely to harbor larger effect alleles that experience relatively strong selection.
Patient experience and nurse staffing level in South Korea
Authors: Song Yeongchae , Do Young Kyung 
Published: May 2024

Abstract
Patient experience has recently become a key driver for hospital quality improvement in South Korea, marked by the introduction of the Patient Experience Assessment (PXA) within its National Health Insurance in 2017. While the PXA has garnered special attention from the media and hospitals, there has been a lack of focus on its structural determinants, hindering continuous and sustained improvement in patient experience. Given the relatively low number of practicing nurses per 1000 population in South Korea and the significant variation in nurse staffing levels across hospitals, the staffing level of nurses in hospitals could be a crucial structural determinant of patient experience. This study examines the association between patient experience and hospital nurse staffing levels in South Korea. We used individual- and hospital-level data from the 2019 PXA, encompassing 7250 patients from 42 tertiary hospitals and 16 235 patients from 109 non-tertiary general hospitals with 300 or more beds. The dependent variables were derived from the complete set of 21 proper questions on patient experience in the Nurse and other domains. The main explanatory variable was the hospital-level Nurse Staffing Grade (NSG), employed by the National Health Insurance to adjust reimbursement to hospitals. Multilevel ordered/binomial logistic or linear regression was conducted accounting for other hospital- and patient-level characteristics as well as acknowledging the nested nature of the data. A clear, positive association was observed between patient experience in the Nurse domain and NSG, even after accounting for other characteristics. For example, the predicted probability of reporting the top-box category of “Always” to the question “How often did nurses treat you with courtesy and respect?” was 70.3% among patients from non-tertiary general hospitals with the highest NSG, compared to 63.1% among patients from their peer hospitals with the lowest NSG. Patient experience measured in other domains that were likely to be affected by nurse staffing levels also showed similar associations, although generally weaker and less consistent than in the Nurse domain. Better patient experience was associated with higher hospital nurse staffing levels in South Korea. Alongside current initiatives focused on measuring and publicly reporting patient experience, strengthening nursing and other hospital workforce should also be included in policy efforts to improve patient experience.