bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Algebraic Matrix Method Used to Generate Linear Equation for Surface Roughness and Material Removal Rate during Wet/Dry Turning Operation on MMCs Al6061-T6/SiC
Authors: Dhabale Rahul B , Kurkute Vijay K , Unde Sanket S. , Dhabale Vrushali R , Mate Umesh G. , Shaikh Sarfaraj 
Published: October 2023

Abstract
Stir casting process is well known for reinforcement of ceramic particle in aluminium. Due to improved properties of Al6061-T6/SiC particulate metal matrix composites have attracted by industry as well as received wider attention of material expertise. The purpose of this study is to evaluate the turning process parameters through algebraic matrix which is unique approach. Also studied effects of spindle speed, feed, SiC silicon carbide-3% and 6%, depth of cut and nose radius on modifier element for instance surface roughness Ra and material removal rate MRR in both dry and wet condition. In addition to optimize the turning process parameters are on Al6061-T6/SiC 3% and 6% with a coated tungsten tool. The experimental runs are designed using the taguchi based multiple factorial design DOE and their outcomes are analyzed using Analysis of Variance ANOVA. Mathematical models are established using algebraic matrix to represent the relationship among turning process parameters as independent variables, surface roughness and material removal rate as dependent variables. For every experimental run, a same cutting insert was used to encourage accurate reporting of the surface roughness and material removal rate. The statistical variations revealed that the main effect of spindle speed, feed, SiC silicon carbide-3% and 6%, depth of cut and nose radius are influenced the surface roughness and material removal rate. Moreover, Built-up-edge BUE formation was observed at every combinations of machining parameters such as spindle speed, feed, SiC silicon carbide-3% and 6%, depth of cut and nose radius which affected the surface quality negatively. The proximity of predicted results and experimental results provide proof that the algebraic matrix – DOE method has successfully established the predictive models. It is strongly suggested SiC silicon carbide 3% and 6% are successfully reinforced in Al6061 as well as optimize turning process parameters in wet condition than dry condition. Mathematical models for surface roughness and material removal rate are found to be statistically significant in wet condition.
An intrinsic causality principle in histories-based quantum theory: a proposal
Authors: Dowker Fay , Sorkin Rafael D 
Published: October 2023

Abstract
Relativistic causality (RC) is the principle that no cause can act outside its future light cone, but any attempt to formulate this principle more precisely will depend on the foundational framework that one adopts for quantum theory. Adopting a histories-based (or ‘path integral’) framework, we relate RC to a condition we term ‘Persistence of Zero’ (PoZ), according to which an event E of measure zero remains forbidden if one forms its conjunction with any other event associated to a spacetime region that is later than or spacelike to that of E. We also relate PoZ to the Bell inequalities by showing that, in combination with a second, more technical condition it leads to the quantal counterpart of Fine’s patching theorem in much the same way as Bell’s condition of local causality leads to Fine’s original theorem. We then argue that RC per se has very little to say on the matter of which correlations can occur in nature and which cannot. From the point of view we arrive at, histories-based quantum theories are nonlocal in spacetime, and fully in compliance with RC.
Effect of cooling roofs on gust wind speed over an urban agglomeration in Southern China
Authors: Wang Xueyuan , Liu Gang , Liu Hongnian , Tang Xiaodong , Lyu Mengyao , Meng Handong 
Published: October 2023

Abstract
Urbanization has promoted economic growth but it can increase gust wind speed, which may lead to serious damage to infrastructures. This study uses the Weather Research and Forecasting model and a gust parametrization scheme to evaluate the mitigation impact of white roofs and green roofs on wind gust over the Pearl River Delta, an urban agglomeration in Southern China in June, July, and August of 2014. The results show that both white and green roofs decrease the gust wind speed by decreasing the mean wind speed, suppressing the turbulent motion and weakening the convection. The impacts of white roofs are stronger than those of green roofs. The daily mean reductions of gust wind speed are approximately 1.2–1.3 m s−1 (12%–16%) and 0.4–0.6 m s−1 (6%–10%) by white and green roofs, respectively. In general, the contribution of turbulence (60%–85%) to the gust wind speed is the largest, and the contribution of mean wind speed is approximately 10%–30%, however, the effect of deep convection is not obvious (0%–15%) on the decrease of gust wind speed. The effect of cooling roofs on reducing the gust wind speed is stronger during daytime than during nighttime, and the effect is more significant in city areas that have higher building densities. Based on the findings, this study is potentially beneficial for policy-makings in developing urban disaster mitigation methods.
The emergence of quantum energy science
Authors: Metzler Florian , Sandoval Jorge I , Galvanetto Nicola 
Published: October 2023

Abstract
Quantum engineering seeks to create novel technologies based on the exploitation of distinctly nonclassical behaviors such as quantum coherence. The vast majority of currently pursued applications fall into the domain of quantum information science, with quantum computing as the most visible subdomain. However, other applications of quantum engineering are fast emerging. Here, we review the deployment of quantum engineering principles in the fields of solar energy, batteries, and nuclear energy. We identify commonalities across quantum engineering approaches in those apparently disparate fields and draw direct parallels to quantum information science. We find that a shared knowledge base is forming, which de facto corresponds to a new domain that we refer to as ‘quantum energy science’. Quantum energy science bears the promise of substantial performance improvements across energy technologies such as organic solar cells, batteries, and nuclear fusion. The recognition of this emerging domain may be of great relevance to actors concerned with energy innovation. It may also benefit active researchers in this domain by increasing visibility and motivating the deployment of resources and institutional support.
A filter-based feature selection approach in multilabel classification
Authors: Shaikh Rafia , Rafi Muhammad , Mahoto Naeem Ahmed , Sulaiman Adel , Shaikh Asadullah 
Published: October 2023

Abstract
Multi-label classification is a fast-growing field of machine learning. Recent developments have shown several applications, including social media, healthcare, bio-molecular analysis, scene, and music classification associated with the multilabel classification. In classification problems, multiple labels (multilabel or more than one class label) are assigned to an unseen record instead of a single-label class assignment. Feature selection is a preprocessing phase used to identify the most relevant features that could improve the accuracy of the multilabel classifiers. The focus of this study is the feature selection method in multilabel classification. The study used a feature selection filter method involving the Fisher score, analysis of variance test, mutual information, Chi-Square, and ensembles of these statistical methods. An extensive range of machine learning algorithms is applied in the modelling phase of a multilabel classification model that includes binary relevance, classifier chain, label powerset, binary relevance KNN, multi-label twin support vector machine, multi-label KNN. Besides, label space partitioning and majority voting of ensemble methods are used and Random Forest is the base learner. The experiments are carried out over five different multilabel benchmarking datasets. The evaluation of the classification model is measured using accuracy, precision, recall, F1 score, and hamming loss. The study demonstrated that the filter methods (i.e. mutual information) having top weighted

80
%

to

20
%

features provided significant outcomes.
Geographical quantification of the seasonality of transmission of COVID-19 in human populations as a function of the variability of temperatures
Authors: Magers Bailey , Usmani Moiz , Wu Chang-Yu , Jutla Antarpreet 
Published: October 2023

Abstract
The occurrence of cases of COVID-19 suggests that it will likely become seasonally endemic in human populations. We seek to provide a quantification of the seasonality of the occurrence and severity of COVID-19 cases in human populations. Using global data, we show that the spatiotemporal distribution of COVID-19 cases is a function of distinct seasons and climates. We investigated this at the county and the country scale using a comparison of seasonal means, correlation analyses using ambient air temperatures and dew point temperatures, and multiple linear regression techniques. We found that most locations had the highest incidence of COVID-19 during winter compared to other seasons. Regions closer to the equator had a higher incidence of COVID-19 during the summer than regions further from the equator. Regions close to the equator, where mean annual temperatures have less variance compared to those further from the equator, had smaller differences between seasonal COVID-19 incidence. Correlation and regression analyses showed that ambient air and dew point temperatures were significantly associated with COVID-19 incidence. Our results suggest that temperature and the environment are influential factors to understand the transmission of COVID-19 within the human population. This research provides empirical evidence that temperature changes are a strong indicator of seasonal COVID-19 outbreaks, and as such it will aid in planning for future outbreaks and for mitigating their impacts.
Small RNA profiling reveals that an ovule-specific microRNA, cja-miR5179, targets a B-class MADS-box gene in Camellia japonica
Authors: Ma Xianjin , Nie Ziyan , Huang Hu , Yan Chao , Li Sijia , Hu Zhikang , Wang Yupeng , Yin Hengfu 
Published: October 2023

Abstract

Background and Aims
The functional specialization of microRNA and its target genes is often an important factor in the establishment of spatiotemporal patterns of gene expression that are essential to plant development and growth. In different plant lineages, understanding the functional conservation and divergence of microRNAs remains to be explored.

Methods
To identify small regulatory RNAs underlying floral patterning, we performed a tissue-specific profiling of small RNAs in various floral organs from single and double flower varieties (flowers characterized by multiple layers of petals) in Camellia japonica. We identified cja-miR5179, which belongs to a deeply conserved microRNA family that is conserved between angiosperms and basal plants but frequently lost in eudicots. We characterized the molecular function of cja-miR5179 and its target – a B-function MADS-box gene – through gene expression analysis and transient expression assays.

Key Results
We showed that cja-miR5179 is exclusively expressed in ovule tissues at the early stage of floral development. We found that cja-miR5179 targets the coding sequences of a DEFICIENS-like B-class gene (CjDEF) mRNA, which is located in the K motif of the MADS-box domain; and the target sites of miR5179/MADS-box were consistent in Camellia and orchids. Furthermore, through a petal transient-expression assay, we showed that the BASIC PENTACYSTEINE proteins bind to the GA-rich motifs in the cja-miR5179 promoter region and suppresses its expression.

Conclusions
We propose that the regulation between miR5179 and a B-class MADS-box gene in C. japonica has a deep evolutionary origin before the separation of monocots and dicots. During floral development of C. japonica, cja-miR5179 is specifically expressed in the ovule, which may be required for the inhibition of CjDEF function. This work highlights the evolutionary conservation as well as functional divergence of small RNAs in floral development.
Transcriptome analysis of anuran breeding glands reveals a surprisingly high expression and diversity of NNMT-like genes
Authors: Schulte Lisa M , Twomey Evan , Jendras Julia , Cruz-Elizalde Raciel , Bossuyt Franky 
Published: October 2023

Abstract
In many amphibians, males have sexually dimorphic breeding glands, which can produce proteinaceous or volatile pheromones, used for intraspecific communication. In this study we analyse two types of glands in the Mexican treefrog Ptychohyla macrotympanum (Hylidae)—large ventrolateral glands and small nuptial pads on their fingers—using histology, whole-transcriptome sequencing, and phylogenetic analyses. We found strong differences in glandular tissue composition and gene expression patterns between the two breeding gland types. In both glands we only found low expression of protein pheromone candidates. Instead, in the ventrolateral glands, gene expression was strikingly dominated by nicotinamide N-methyltransferase (NNMT)-like genes. The diversity of these genes was remarkably high, with at least 68 distinct NNMT-like genes. Our comparative phylogenetic analysis of the diversity of NNMT-like genes across vertebrates indicates that the extreme diversity of this gene is largely a frog-specific phenomenon and can be traced to large numbers of relatively recent gene duplications occurring independently in many lineages. The strong dominance and astonishing diversity of NNMT-like genes found in anurans in general, and in their sexually dimorphic breeding glands specifically, suggests an important function of NNMT-like proteins for anuran reproduction, possibly being related to volatile pheromone production.
Similarity Regression Of Functions In Different Compiled Forms With Neural Attentions On Dual Control-Flow Graphs
Authors: Zhang Yun , Liu Yuling , Cheng Ge , Wang Jie 
Published: October 2023

Abstract
Detecting if two functions in different compiled forms are similar has a wide range of applications in software security. We present a method that leverages both semantic and structural features of functions, learned by a neural-net model on the underlying control-flow graphs (CFGs). In particular, we devise a neural function-similarity regressor (NFSR) with attentions on dual CFGs. We train and evaluate NFSR on a dataset consisting of nearly 4 million functions from over 14 900 binary files. Experiments show that NFSR is superior to the SOTA models of SAFE, Gemini and GMN, especially for binary functions with large CFGs. An ablation study shows that attention on dual CFGs plays a significant role in detecting function similarities.
Quality control to improve LDL-cholesterol management in patients with acute coronary syndromes based on the ACS EuroPath IV project
Authors: Schiele François , Catapano Alberico L , De Caterina Raffaele , Laufs Ulrich , Jukema J Wouter , Zaman Azfar , Sionis Alessandro 
Published: October 2023

Abstract

Aims
We performed quality control of lipid-lowering therapy (LLT) in patients with acute coronary syndrome (ACS), with a view to proposing corrective actions.

Methods and results
Using a Define Measure Analysis Improve Control (DMAIC) approach applied to data from the ACS EuroPath IV survey, we measured attainment of two quality indicators (QIs) related to lipid-lowering treatment: (i) prescription of high-intensity statins (or equipotent treatment) before discharge, and (ii) proportion with LDL-cholesterol &lt;55 mg/dL (1.4 mmol/L) during follow-up. A total of 530 European cardiologists responded and provided data for up to 5 patients from their centre, for acute and follow-up phases. Corrective measures are proposed to increase the rate of attainment of both QIs. Attainment of the first QI was measured in 929 acute-phase patients, 99% had LLT prescribed at discharge and 75% of patients fulfilled the first QI. Attainment of the second QI was assessed in 1721 patients with follow-up. The second QI was reached in 31% of patients. The DMAIC approach yielded 10 potential changes in prescription, 3 for the first and 7 for the second QI. The overall strategy is ‘Fire to Target’, i.e. early intensification of the LLT using statins, ezetimibe, bempedoic acid, and proprotein convertase subtilisin/kexin type-9 inhibitors, and is presented as an algorithm for routine application.

Conclusion
Quality control for LLT, based on the ACS EuroPath IV survey, detected 10 potential changes in prescription that could enhance attainment of 2 QIs. Whether the Fire to Target strategy will be adopted and effective needs to be assessed in further steps of the EuroPath Quality programme.
Analysis and evaluation of patient-specific three-dimensional printing in complex septal myectomy
Authors: Lu Tao , Meng Yanhai , Yang Qiulan , Zhu Changsheng , Wu Zining , Lu Zhengyang , Gao Yiming , Wang Shuiyun 
Published: October 2023

Abstract

OBJECTIVES
This study aimed to assess the effectiveness of three-dimensional printing (3DP) in patients with complex hypertrophic cardiomyopathy requiring combined transaortic and transapical septal myectomy.

METHODS
We created 3DP models for 7 patients undergoing this surgery approach between June and October 2022 using silicone-like resin and conducted mock operations. The models were compared with echocardiography to identify abnormal muscle bundles and heart structures. These patients were then compared with a 1:2 matched group without 3DP, considering age, sex and additional operations.

RESULTS
The models mostly presenting with midventricular obstruction showed high consistency with original computed tomography data (r = 0.978, P &lt; 0.001). 3DP identified more abnormal muscle bundles than echocardiography, primarily between the interventricular septum and apex. Excised specimens in mock operations mirrored those in actual myectomies. While cardiopulmonary bypass time was not significantly different, a near-20-min decrease was observed in the 3DP group (135.5 ± 31.1 vs 154.4 ± 36.6 min, P = 0.054).

CONCLUSIONS
While no significant differences in surgical outcomes were observed, 3DP appeared to enhance the visualization and understanding of spatial structures (average Likert scale score 4.0), potentially contributing to surgical proficiency (overall rating score 3.9). The use of 3DP may offer additional value in the preparation and execution of operations for complex hypertrophic cardiomyopathy cases.
miR-26a/30d/152 are reliable reference genes for miRNA quantification in skin wound age estimation
Authors: Suo Longlong , Cheng Jian , Yuan Haomiao , Jiang Zhenfei , Tash Dilichati , Wang Linlin , Cheng Hao , Zhang Zhongduo , Zhang Fuyuan , Zhang Miao , Cao Zhipeng , Zhao Rui , Guan Dawei 
Published: October 2023

Abstract

MicroRNAs (miRNAs) are a class of small non-coding RNAs that exert their biological functions as negative regulators of gene expression. They are involved in the skin wound healing process with a dynamic expression pattern and can therefore potentially serve as biomarkers for skin wound age estimation. However, no reports have described any miRNAs as suitable reference genes (RGs) for miRNA quantification in wounded skin or samples with post-mortem changes. Here, we aimed to identify specific miRNAs as RGs for miRNA quantification to support further studies of skin wound age estimation. Overall, nine miRNAs stably expressed in mouse skin at certain posttraumatic intervals (PTIs) were preselected by next-generation sequencing as candidate RGs. These nine miRNAs and the commonly used reference genes (comRGs: U6, GAPDH, ACTB, 18S, 5S, LC-Ogdh) were quantitatively examined using quantitative real-time reverse-transcription polymerase chain reaction at different PTIs during skin wound healing in mice. The stabilities of these genes were evaluated using four independent algorithms: GeNorm, NormFinder, BestKeeper, and comparative Delta Ct. Stability was further evaluated in mice with different post-mortem intervals (PMIs). Overall, mmu-miR-26a-5p, mmu-miR-30d-5p, and mmu-miR-152-3p were identified as the most stable genes at both different PTIs and PMIs. These three miRNA RGs were additionally validated and compared with the comRGs in human samples. After assessing using one, two, or three miRNAs in combination for stability at different PTIs, PMIs, or in human samples, the set of miR-26a/30d/152 was approved as the best normalizer. In conclusion, our data suggest that the combination of miR-26a/30d/152 is recommended as the normalization strategy for miRNA qRT-PCR quantification in skin wound age estimation.

Key points
Exploring the limits of spatiotemporal and design-based index standardization under reduced survey coverage
Authors: Yalcin Semra , Anderson Sean C , Regular Paul M , English Philina A 
Published: October 2023

Abstract
Indices of abundance derived from fisheries-independent surveys play a crucial role in sustainable fisheries management. While design-based methods provide unbiased indices in theory, logistical constraints may introduce biases in practice. Spatiotemporal models offer potential for mitigating such bias, but their limitations remain poorly understood. In this study, we compare the performance of model-based and design-based indices using 200 simulated populations representing two virtual species. We simulate stratified-random surveys under various scenarios, including constant effort and coverage, reduced set density, and reduced spatial coverage (e.g. closed areas). We consider three closed-area scenarios: no population recovery, population recovery, and population recovery with spillover. With consistent survey coverage, correctly specified spatiotemporal models demonstrated comparable bias, accuracy, and confidence interval coverage to design-based methods. Spatiotemporal models incorporating appropriate covariates and observation families could mitigate the impact of reduced spatial coverage. However, poorly specified models were sometimes outperformed by design-based methods. Our results, therefore, highlight the potential for spatiotemporal models to mitigate the effects of survey effort reduction on population assessment and the provision of scientific advice. However, they also present a cautionary tale about the critical importance of model evaluation and comparison.
Application of the topological sensitivity method to the detection of breast cancer
Authors: Kahlaoui Hamza , Mansouri Sabeur , BenSalah Mohamed 
Published: October 2023

Abstract
This paper is concerned with an approach based on the topological sensitivity notion to solve a geometric inverse problem for a linear wave equation. The considered inverse problem is motivated by elastography. More precisely, the modelli ng of our application system has been aimed toward the detection of a breast tumour, in particular, and to enable the calculation of the tumour size, location and type. We start our analysis by rephrasing the considered inverse problem as an optimization one minimizing an energy cost functional. We establish an estimation describing the asymptotic behaviour of the wave equation solution with respect to the presence of a small tumour in the breast, which plays an important role in the derivation of a topological asymptotic formula for the considered cost function. Based on the derived theoretical results, we have developed a numerical algorithm for solving our inverse problem, which requires only one iteration. Some numerical experiments are presented to point out the efficiency and accuracy of the proposed approach.