bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneous Dual‐Gene Test of Methicillin‐Resistant Staphylococcus Aureus using an Argonaute‐Centered Portable and Visual Biosensor
Authors: Kou Jun , Li Yaru , Zhao Zhiying , Qiao Jiali , Zhang Qiang , Han Xiao , Cheng Xinkuan , Man Shuli , Ma Long 
Published: March 2024

AbstractThe development of novel method for drug‐resistant bacteria detection is imperative. A simultaneous dual‐gene Test of methicillin‐resistant Staphylococcus aureus (MRSA) is developed using an Argonaute‐centered portable biosensor (STAR). This is the first report concerning Argonaute‐based pathogenic bacteria detection. Simply, the species‐specific mecA and nuc gene are isothermally amplified using loop‐mediated isothermal amplification (LAMP) technique, followed by Argonaute‐based detection enabled by its programmable, guided, sequence‐specific recognition and cleavage. With the strategy, the targeted nucleic acid signals gene are dexterously converted into fluorescent signals. STAR is capable of detecting the nuc gene and mecA gene simultaneously in a single reaction. The limit of detection is 10 CFU/mL with a dynamic range from 10 to 107 CFU/mL. The sample‐to‐result time is <65 min. This method is successfully adapted to detect clinical samples, contaminated foods, and MRSA‐infected animals. This work broadens the reach of Argonaute‐based biosensing and presents a novel bacterial point‐of‐need (PON) detection platform.
Climate change and broiler production
Authors: Oke Oyegunle Emmanuel , Akosile Oluwaseun Ayomide , Uyanga Victoria Anthony , Oke Folasade Olukemi , Oni Aderanti Ifeoluwa , Tona Kokou , Onagbesan Okanlawon Mohammed 
Published: March 2024

AbstractClimate change has emerged as a significant occurrence that adversely affects broiler production, especially in tropical climates. Broiler chickens, bred for rapid growth and high meat production, rely heavily on optimal environmental conditions to achieve their genetic potential. However, climate change disrupts these conditions and poses numerous challenges for broiler production. One of the primary impacts of climate change on broiler production is the decreased ability of birds to attain their genetic potential for faster growth. Broilers are bred to possess specific genetic traits that enable them to grow rapidly and efficiently convert feed into meat. However, in tropical climates affected by climate change, the consequent rise in daily temperatures, increased humidity and altered precipitation patterns create an unfavourable environment for broilers. These conditions impede their growth and development, preventing them from reaching their maximum genetic influence, which is crucial for achieving desirable production outcomes. Furthermore, climate change exacerbates the existing challenges faced by broiler production systems. Higher feed costs impact the industry's economic viability and limit the availability of quality nutrition for the birds, further hampering their growth potential. In addition to feed scarcity, climate change also predisposes broiler chickens to thermal stress. This review collates existing information on climate change and its impact on broiler production, including nutrition, immune function, health and disease susceptibility. It also summarizes the challenges of broiler production under hot and humid climate conditions with different approaches to ameliorating the effects of harsh climatic conditions in poultry.
The Regular Polyhedra: Drawing and Computing in Euclid’s day
Authors: Duvernoy Sylvie 
Published: March 2024

AbstractCan we compute what we cannot draw? How must we draw to produce measurable representations, or visual ones? This research inquires into the relationship between mathematics and figurative representation, and more precisely between drawing and computation. The scientific imagery studied here is the representation of the five platonic solids, discussing various representation techniques from classical antiquity to modern times, and their efficacy to help calculate sizes and proportional ratios. Scholars in history of architectural drawing have too often limited their observations to the very few preserved plans and front views dating back to classical antiquity, without enlarging their investigation to other scientific fields that also rely on drawing as a research tool and communication device. Among these other fields stands the mathematical research, especially solid geometry which deals with objects and entities that have shapes that needs to be somehow drawn in 3D to be studied.
Artistic and Structural Connections Between Architecture and Music – a Comparative Case Study of the Forbidden City and Palace Memories
Authors: Dong Jun , Yin Hang , Yu Rongrong 
Published: March 2024

AbstractArchitecture and music have a potential to trigger similar psychological effects in people due to commonalities in artistic and structural properties. Current studies exploring the relationship between architecture and music have often focused on analyzing how music can inspire architectural design, but there have been a lack of studies exploring artistic and structural commonalities between architecture and music in such a context. Therefore, this study adopts semiotics and analogy as an interdisciplinary approach aiming to comprehensively investigate connections and commonalities between architecture and music, particularly in terms of design forms and organization patterns. Using the architecture of the Forbidden City, and the musical piece Palace Memories, as selected cases for this study, this research demonstrates how both of the cases’ artistic forms can be translated into structural similarities in terms of both architecture and music. The results of this study reveal significant commonalities in forms and patterns across the fields of architecture and music for the selected cases. This study provides new perspectives for better understanding potential connections between the two fields, and how each may shed new light and provide surprising insights on the other.
Boundary value problems associated with Hamiltonian systems coupled with positively-(p, q)-homogeneous systems
Authors: Fonda Alessandro , Ullah Wahid 
Published: March 2024

AbstractWe study the multiplicity of solutions for a two-point boundary value problem of Neumann type associated with a Hamiltonian system which couples a system with periodic Hamiltonian in the space variable with a second one with positively-(p, q)-homogeneous Hamiltonian. The periodic problem is also treated.
Cast immobilization duration for distal radius fractures, a systematic review
Authors: de Bruijn Marcel A. N. , van Ginkel Laura A. , Boersma Emily Z. , van Silfhout Lysanne , Tromp Tjarda N. , van de Krol Erik , Edwards Michael J. R. , Stirler Vincent M. A. , Hermans Erik 
Published: March 2024

Abstract
Purpose
The optimal duration of immobilization for the conservative treatment of non- or minimally displaced and displaced distal radius fractures remains under debate. This research aims to review studies of these treatments to add evidence regarding the optimal immobilization period.

Methods
A comprehensive database search was conducted. Studies investigating and comparing short (< 3 weeks) versus long (> 3 weeks) immobilizations for the conservative treatment of distal radius fractures were included. The studies were evaluated for radiological and functional outcomes, including pain, grip strength, and range of motion. Two reviewers independently reviewed all studies and performed the data extraction.

Results
The initial database search identified 11.981 studies, of which 16 (involving 1.118 patients) were ultimately included. Patient-reported outcome measurements, grip strength, range of motion, and radiological outcomes were often better after shorter immobilization treatments. Radiological outcomes were better with longer immobilization in two studies and shorter immobilization in one study. Fourteen studies concluded that early mobilization is preferred, while the remaining two studies observed better outcomes with longer immobilization. The data were unsuitable for meta-analysis due to their heterogeneous nature.

Conclusion
Shorter immobilization for conservatively treated distal radius fractures often yield equal or better outcomes than longer immobilizations. The immobilization for non- or minimally displaced distal radius fractures could therefore be shortened to 3 weeks or less. Displaced and reduced distal radius fractures cannot be immobilized shorter than 4 weeks due to the risk of complications. Future research with homogeneous groups could elucidate the optimal duration of immobilization.
Fertility and heavy metal pollution in silage maize soil irrigated with different levels of recycled wastewater under conventional and no-tillage practices
Authors: Yerli Caner , Sahin Ustun , Oztas Taskin , Ors Selda 
Published: March 2024

Abstract
Irrigation with recycled domestic wastewater has been known to obtain positive effects on improving soil fertility, but it may also become a risk factor in case of causing an increase in soil salinity and/or heavy metal concentration of soil. No-tillage can retain soil moisture, helping to reduce irrigation water necessity, and thus lower amounts of heavy metals and salts are added to soil under wastewater irrigation conditions. The objective of this study was to analyze the effects of wastewater irrigation at different levels of on silage maize cultivation under conventional tillage and no-tillage conditions by comparing to full irrigation with fresh water. The two-year experiment was planned according to the split-plots design in the random blocks with three replications. The results indicated that full irrigation with wastewater increased soil salinity, organic matter content, total nitrogen, plant available phosphous, exchangeable cations, exchangeable sodium percentage and soil essential and non-essential heavy metal contents, but decreased soil pH and lime content. Increasing rates in organic matter content, total nitrogen, plant available phosphorus and exchangeable potassium were higher, but in electrical conductivity, and heavy metal accumulation were lower in soil under no-tillage as compared to conventional tillage. Contamination and enrichment factors and geographic accumulation index showed that non-essential heavy metal contamination due to cadmium and nickel, increased in full irrigation with wastewater. Irrigation with wastewater also increased heavy metal accumulation in silage maize. No-tillage can be a recommendable water management practice considering that the risks of soil salinity and heavy metal accumulation can be reduced and that soil fertility can be increased. Also, in reducing the risk of accumulation of cadmium and nickel in soil, 33% deficit irrigation with wastewater can make no-tillage more available.
Psychometric properties of the World Health Organization WHOQOL-AGE Scale in Singapore
Authors: Lee Rachael Zhi Yi , Yang Winson Fu Zun , Mahendran Rathi , Suárez Lidia 
Published: March 2024

AbstractWHOQOL-AGE is a promising quality of life (QOL) tool that has not been fully validated in Asia. The present study aimed to verify its factor structure and psychometric properties among community-dwelling older adults in Singapore. This study was cross-sectional and used data (N = 593) from the Community Health and Intergenerational study that interviewed older adults between 2018 and 2021. Confirmatory factor analysis (CFA) was used to examine the factor structure of the WHOQOL-AGE, and Cronbach’s alpha coefficients were employed to examine internal consistency. Spearman’s rho correlations coefficients between WHOQOL-AGE and other related scales (Satisfaction with Life and the Friendship) examined convergent validity. A Pearson’s correlation coefficient between WHOQOL-AGE and compassion scale examined discriminant validity. An independent t test was used to demonstrate known-groups validity, examining differences in QOL scores between individuals with and without chronic medical conditions. Findings supported a bifactor model with more satisfactory goodness-of-fit indices than the original two-factor model and the two-correlated factor model. WHOQOL-AGE showed adequate internal consistency (Cronbach’s alpha coefficients > .70). Good convergent validity was demonstrated by moderate-to-large correlations between WHOQOL-AGE and satisfaction with life (rs = .54) as well as social connectedness (rs = .33). Discriminant validity was shown by low correlations between WHOQOL-AGE and compassion (r = .19). Findings also indicated good known-groups validity (p < 0.01). The WHOQOL-AGE showed promising psychometric properties using an Asian convenience sample and can be useful in large-scale studies or busy clinical settings.
Comparison by thermal analysis of Joule-cured versus oven-cured composites
Authors: Vázquez Laura S. , López-Beceiro Jorge , Díaz-Díaz Ana-María , Álvarez-García Ana , Pereira Mercedes , Artiaga Ramón 
Published: March 2024

AbstractThe current technology for curing high-performance composites, such as those used in industries like such as aeronautics and the automotive industry, is based on the use of autoclaves, where the material is cured by external heating, in large ovens. This type of curing requires enormous amounts of energy, of which only a small part is invested in the actual curing of the material, and the rest is mainly used for heating and maintaining the temperature of the autoclave. An alternative method that entails a lower energy cost compared to the traditional methodology is curing through the Joule effect, in which an electric current is passed through the material, so that it acquires temperature from the inside due to the passage of current through the carbon fibres, triggering and accelerating the curing process of the composite. While Joule curing may provide a much more efficient and faster curing, a control technology is needed to ensure that temperatures all throughout the composite match the temperature programme. In this work, a procedure has been developed to control the Joule effect curing of carbon fibre/epoxy composites in order to compare, by means of differential scanning calorimetry (DSC) and dynamic mechanical analysis (DMA), the curing obtained by this method with that obtained by the traditional oven curing method.
A Novel Distributed Process Monitoring Framework of VAE-Enhanced with Deep Neural Network
Authors: Yin Ming , Tian Jiayi , Wang Yibo , Jiang Jijiao 
Published: March 2024

AbstractIntelligent manufacturing process needs to adopt distributed monitoring scenario due to its massive, high-dimensional and complex data. Distributed process monitoring has been introduced into global monitoring and local monitoring to analyze the characteristic relationship between process data. However, the existing framework methods ignore or suppress the fault information and thus cannot effectively identify the local faults and the time sequence characteristics between units in the batch production system. This paper proposes a novel distributed process monitoring framework based on Girvan-Newman algorithm modular subunit partitioning and probabilistic learning model with deep neural networks. First, Girvan-Newman algorithm is used to divide the complex manufacturing system modularized to reduce the latitude of data processing. Second, variational autoencoder (VAE) is adopted to ensure the stability of local analysis, and long short-term memory is adopted to improve the VAE model to detect global multi-time scale anomalies. Finally, distributed process fault detection is carried out for each subunit in a separate and integrated manner, and the performance of the framework in distributed process monitoring is analyzed through two fault detection indicators T2 and SPE statistics. A case study of the Tennessee Eastman Process is used to demonstrate the performance and applicability of the proposed framework. Results show that the proposed VAE enhancement framework based on the DNN could accurately identify faults in distributed process monitoring and locate the specific sub-units where the fault occurs. Compared with VAE-DNN method and traditional process monitoring methods, the framework proposed in this paper has higher fault detection rate and lower false alarm rate, and the detection rate of some faults can reach 100%.
Robustness analysis of exponential stability of fuzzy inertial neural networks through the estimation of upper limits of perturbations
Authors: Fang Wenxiang , Xie Tao 
Published: March 2024

AbstractThis paper characterizes the robustness of exponential stability of fuzzy inertial neural network which contains time delays or stochastic disturbance through the estimation of upper limits of perturbations. By utilizing Gronwall-Bellman lemma, stochastic analysis, Cauchy inequality, the mean value theorem of integrals, as well as the properties of integrations, the limits of both time delays and stochastic disturbances are derived in this paper which can make the disturbed system keep exponential stability. The constraints between the two types of disturbances are provided in this paper. Examples are offered to validate our results.
Influence of Additional Strut Elements in 3D Re-Entrant Auxetic Unit Cells on the Damage and Energy Absorption Properties
Authors: Kaya A. C. , Korucu A. , Boğoçlu M. 
Published: March 2024

Abstract
Background
Geometric parameter optimization, novel design, and mechanism modeling of auxetic materials have been widely studied. However, manipulating the topology of the 3d printed auxetic unit cells and its influence on the damage have yet to be explored.

Objective
This study aims to characterize the energy absorption properties and damage mechanisms of the modified auxetic unit cells.

Methods
In the current study, bending-dominated re-entrant auxetic unit cells (Cell0), torsion-dominated auxetic unit cells with cross elements (CellX), buckling-dominated auxetic unit cells with vertical elements (CellB), and bending-dominated auxetic unit cells with panels (CellW) have been fabricated by FDM (Fused deposition modeling). Uniaxial compression testing of the PLA (Polylactic acid) unit cells has been carried out, and a camera has observed their deformation behavior. SR- µCT (Synchrotron radiation microtomography) and an SEM (Secondary electron microscope) accomplished further damage analysis of the struts.

Results
Adding additional struts hinders the lateral shrinking of the re-entrant auxetics, and re-entrant auxetic unit cells with cross elements have shown higher energy absorption capacity and efficiency than others. The struts’ damage has been governed by building direction, printed material, and strut dimensions. Intra-layer and interlayer fracture of the layers and rupture in the circumferential direction of the PLA struts have been observed in the SR- µCT slices.

Conclusions
By additional struts, it is possible to fabricate complex auxetic structures with enhanced energy absorption properties, but their inherent characteristics dominate the damage of the struts in the auxetic unit cells.

Graphical Abstract
Modulation of neural gene networks by estradiol in old rhesus macaque females
Authors: Cervera-Juanes Rita , Zimmerman Kip D. , Wilhelm Larry , Zhu Dongqin , Bodie Jessica , Kohama Steven G. , Urbanski Henryk F. 
Published: March 2024

AbstractThe postmenopausal decrease in circulating estradiol (E2) levels has been shown to contribute to several adverse physiological and psychiatric effects. To elucidate the molecular effects of E2 on the brain, we examined differential gene expression and DNA methylation (DNAm) patterns in the nonhuman primate brain following ovariectomy (Ov) and subsequent subcutaneous bioidentical E2 chronic treatment. We identified several dysregulated molecular networks, including MAPK signaling and dopaminergic synapse response, that are associated with ovariectomy and shared across two different brain areas, the occipital cortex (OC) and prefrontal cortex (PFC). The finding that hypomethylation (p = 1.6 × 10−51) and upregulation (p = 3.8 × 10−3) of UBE2M across both brain regions provide strong evidence for molecular differences in the brain induced by E2 depletion. Additionally, differential expression (p = 1.9 × 10−4; interaction p = 3.5 × 10−2) of LTBR in the PFC provides further support for the role E2 plays in the brain, by demonstrating that the regulation of some genes that are altered by ovariectomy may also be modulated by Ov followed by hormone replacement therapy (HRT). These results present real opportunities to understand the specific biological mechanisms that are altered with depleted E2. Given E2’s potential role in cognitive decline and neuroinflammation, our findings could lead to the discovery of novel therapeutics to slow cognitive decline. Together, this work represents a major step toward understanding molecular changes in the brain that are caused by ovariectomy and how E2 treatment may revert or protect against the negative neuro-related consequences caused by a depletion in estrogen as women approach menopause.
Metal Objects Were Much Desired: A Sixteenth-Century Shipwreck Cargo off the Coast of Esposende (Portugal) and the Importance of Studying Ship Cargos
Authors: Casimiro Tânia Manuel , Dostal Christopher , Castro Filipe , Almeida Ana , Magalhães Ivone , Teixeira Elsa , Frias-Bulhosa Elisa 
Published: March 2024

AbstractDuring winter storms in 2014 and 2017, strong waves exposed hundreds of timbers and artefacts at the Belinho beach, in the North of Portugal. These ship remains were later discovered to belong to a 16th-century shipwreck, probably originating from Northern Europe. This paper aims to discuss the importance of cargo analysis through the study of the material culture associated with that site, consisting mainly of hundreds of pewter, brass, lead, iron, and stone artefacts. Most of these objects seem to have belonged to the ship’s cargo and are tied to a European trade system reflecting economic, cultural, and symbolic behaviours.
A lightweight xAI approach to cervical cancer classification
Authors: Civit-Masot Javier , Luna-Perejon Francisco , Muñoz-Saavedra Luis , Domínguez-Morales Manuel , Civit Anton 
Published: March 2024

Abstract
Cervical cancer is caused in the vast majority of cases by the human papilloma virus (HPV) through sexual contact and requires a specific molecular-based analysis to be detected. As an HPV vaccine is available, the incidence of cervical cancer is up to ten times higher in areas without adequate healthcare resources. In recent years, liquid cytology has been used to overcome these shortcomings and perform mass screening. In addition, classifiers based on convolutional neural networks can be developed to help pathologists diagnose the disease. However, these systems always require the final verification of a pathologist to make a final diagnosis. For this reason, explainable AI techniques are required to highlight the most significant data to the healthcare professional, as it can be used to determine the confidence in the results and the areas of the image used for classification (allowing the professional to point out the areas he/she thinks are most important and cross-check them against those detected by the system in order to create incremental learning systems). In this work, a 4-phase optimization process is used to obtain a custom deep-learning classifier for distinguishing between 4 severity classes of cervical cancer with liquid-cytology images. The final classifier obtains an accuracy over 97% for 4 classes and 100% for 2 classes with execution times under 1 s (including the final report generation). Compared to previous works, the proposed classifier obtains better accuracy results with a lower computational cost.

Graphical abstract