bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physicochemical and sensory characterisation of ‘Molido’ fresh cheese from cows fed sorghum silage in small-scale dairy systems in the highlands of central Mexico
Authors: Ortega-González Carla Ivonne , Espinoza-Ortega Angélica , Sánchez-Vega Laura Patricia , Sainz-Ramírez Aurora , López-González Felipe , Arriaga-Jordan Carlos M. 
Published: October 2023

Abstract

The diet of milking cows influences dairy products through the physicochemical and sensory characteristics of the milk produced. Sorghum silage has been proposed as an alternative forage for small-scale dairy systems in the highlands in the face of changing rain patterns and dry spells. Sorghum forage has tannins and other metabolites that could affect cheese composition and sensory characteristics for consumers. Fresh ‘Molido’ cheese made cows fed a diet with a forage base of 80% sorghum silage – 20% maize silage on a DM basis (treatment SgSLG) compared to the conventional forage base of 100% maize silage (treatment MzSLG). Chemical composition was analysed by analysis of variance on a completely randomised design, and a sensory assessment by a 1 to 5 point hedonic scale analysed by the Kruskal-Wallis non parametric test, and overall preference analysed by a Xi-square test. There were significant differences between cheeses (P < 0.05) for fat, protein and ash contents. In the sensory assessment, significant differences (P < 05) were for flavour, texture in mouth, and aroma persistence with higher score for MzSLG cheese. However, in overall preference, SgSLG cheese was significantly preferred (P < 0.05) over MzSLG cheese. The overall preference for cheese made from milk of cows fed a forage base of sorghum silage, represents an alternative to small-scale dairy farmers whose milk is for artisan ‘Molido’ fresh cheese production.
A Digital Twin Approach to Support a Multi-task Industrial Robot Operation using Design of Experiments
Authors: Guerra-Zubiaga David Apolinar , Santos Matheus Cardoso dos , Voicu Razvan Cristian , Richards Gershom , Gosnell Sean , Barbosa Gustavo Franco 
Published: October 2023

Abstract
The manufacturing industry recognizes drilling operations as a significant portion of production, often accounting for a substantial part of overall costs. In the transformative wave of Industry 4.0, new technologies have emerged, presenting remarkable opportunities to enhance machining processes. Thus,this study integrates digital twins (DT) technology to refine drilling operations. Within this framework, a robot actively executed drilling tasks, with the DT closely monitoring and regulating the drilling speed. This research further established a connectivity bridge that facilitates synchronizing the virtual system with the operational process. The article presents a Design of Experiments (DOE) in a virtual simulation space to analyze the impact of various parameters. This approach aimed to pinpoint the robot joints wielding the most significant influence on the comprehensive drilling operations sequence. The findings underscored that the J4 joint of the FANUC robot model M-16iB/20 stood out as a critical contributor to the process, influencing it by an impressive margin of 16%. This research demonstrates a promising avenue for harnessing digital twin technology to streamline and optimize manufacturing production, setting a precedent for future explorations in the field.
Combination of echocardiographic views better diagnoses and differentiates fetal right aortic arch and double aortic arch: experience from multi-center study
Authors: Yang Lijuan , Liu Yong , Lu Yu , Huang Fan , Xu Yan , Ru Tong , Yang Lan , Ren Min 
Published: October 2023

Abstract
Purpose
Patients with fetal right aortic arch (RAA) and double aortic arch (DAA) have different clinical outcomes, while fetal screening by traditional echocardiography provides limited information. This study aimed to discover and evaluate a novel combination of different echocardiography views in the diagnosis and differentiation of RAA and DAA.
Methods
From January 2014 to December 2022, the cases diagnosed as RAA or DAA by initial ultrasound screening from two hospitals were divided into the RAA group and DAA group. All the pregnant women were routinely offered karyotyping if confirmed diagnosis. Three-vessel-trachea (3VT) and descending aortic arch (DAO) coronal views were combined for further diagnosis, and the reasons for misdiagnosis were analyzed and summarized.
Results
A total of 332 cases were diagnosed with RAA or DAA by initial ultrasound, including RAA group 244 cases and DAA group 88 cases. In the RAA group, the mirror RAA (MRAA) could not be completely diagnosed by 3VT view alone, with the accuracy and sensitivity of 88.9% and 72.6%, respectively. In the DAA group, 36 cases were misdiagnosed only by 3VT view alone, with the accuracy and specificity of 88.9% and 86.8%, respectively. However, the accuracy for MRAA or DAA could reach to 100% when combining with 3VT and DAO coronal views. The abnormal detection rate of karyotyping was 10.5% (20/190), excluding the cases who refused the karyotyping.
Conclusion
Combining 3VT and DAO coronal view could effectively distinguish RAA variants from DAA. The karyotyping should be recommended for the patients with RAA or DAA, and the accurate prenatal diagnosis was highly valuable to provide appropriate perinatal counseling and prognostic evaluation.
Quantifying the Impact of Resource Redundancy on Smart City System Dependability: A Model-Driven Approach
Authors: Silva Francisco Airton , Fé Iure , Silva Francisco , Nguyen Tuan Anh 
Published: October 2023

Abstract
Effective quality management plays a pivotal role in ensuring the smooth operation of smart city systems, which have significant implications for safety, accessibility, affordability, and maintainability. Dependability of autonomous systems is of utmost importance, as achieving satisfactory levels of availability and reliability poses considerable challenges. Smart cities are characterized by interconnected sub-architectures, encompassing vehicle monitoring, sidewalk monitoring, and building monitoring, all of which need to function efficiently. Analytical models such as Petri nets, Markov chains, and fault trees are well-suited for evaluating complex scenarios in the context of smart cities. This paper presents analytical models that utilize fault tree and Markov chain techniques to assess the availability and reliability of smart city monitoring systems. The model is divided into shared and non-shared components, with non-shared components being specific to certain contextual applications, while shared components, such as data processing and electrical power, are essential for all smart city monitoring and management systems. The study underscores the ease with which the fault tree model can enhance availability by modifying failure requirements and resources. Case studies provide concrete examples of how availability improved from 95.3% to 99.8% by varying a configuration known as "KooN" in multiple components. This paper takes a comprehensive approach to evaluating the dependability of smart city architectures and contributes advancements, such as hierarchical modeling, sequential sensitivity analysis, and the "KooN" analytic method. These contributions expand the existing knowledge and methodologies in smart city dependability analysis. Moreover, this work aims to serve as a practical tool to assist smart city managers in optimizing their proposals. All modeling aspects and parameters are detailed thoroughly to enable effective implementation of the proposed approach by anyone using it.
Evaluation Of Salivary Stress Markers And Inflammatory Cytokine Levels In Peri- implantitis Patients
Authors: SOYSAL Fatma , UNSAL Berrin , ISLER Sila Cagri , AKCA Gulcin , BAKIRARAR Batuhan , OZCAN Mustafa 
Published: October 2023

Abstract

Background and Objective:
Psychological stress has been identified in some observational studies as a potential factor that may modify and affect periodontal diseases, but there are no similar data for peri-implantitis. The aim of this study was to determine the relationship between interleukin (IL)-1β, IL-6, IL-10, interferon (IFN)α inflammatory cytokines and the psychological stress-related markers, glucocorticoid receptor-α (GRα), and salivary α-amylase (sAA) gene expression levels in saliva samples obtained from healthy implants and peri-implantitis patients.
Material and Methods
The study included a total of 50 systemically healthy subjects. Peri-implant clinical parameters were recorded and psychological stress level was evaluated with the hospital anxiety and depression scale (HAD) and state-trait anxiety inventory (STAI) questionnaire forms. Following the evaluations, the patients were divided into 4 groups according their stress and clinical status (Ia, Ib, IIa, IIb). IL-1β, IL-6, IL-10, IFNα, GRα, sAA gene expression levels in the saliva samples were quantified by quantitative polymerase chain reaction (qPCR).
Results
In the group of peri-implantitis who had a high score in stress level assessment scales, significantly higher IL-1β, IL-6, sAA expression levels were observed (p < 0.001). The IL-10 gene expression levels were lower in the groups with a high score in the stress level assessment scales (p < 0.001). GRα gene was expressed at lower levels in the group of peri-implantitis who had a high score in stress level assessment scales but the difference was not statistically significant (p = 0.065).
Conclusion
The study findings suggest that psychological stress may increase the inflammation associated with peri-implantitis by affecting cytokine expression levels.
Clinical relevance:
To prevent peri-implantitis or reduce its prevalence, it could be beneficial to evaluate stress levels and identify individuals experiencing stress.
Impact of PGRs and Biofertilizers on shoot development in Mulberry (Morus alba L.) cuttings under Shade Net conditions
Authors: Kumar Pankaj , Singh Vikram , Johar Vishal , Kotiyal Amit 
Published: October 2023

Abstract
The aim of the study is to determine the effect of PGRs, and biofertilizers on the shoot growth performance of mulberry cuttings under shade net house conditions. The experiment was to check the effect of auxins, cytokinin, and biofertilizers on the shoot parameters of the cuttings. Auxins were applied in the form of IBA (Indole-3-butyric acid) and NAA (Naphthalene acetic acid), cytokinin in the form of Kinetin, while biofertilizers in the form of Mycorrhiza and PSB (Phosphorus Solubilizing Bacteria). The control treatment was given with distilled water. Based on the experimental variant, the treatment was given by the quick dip method of the PGRs application during planting. The result showed that the combination of IBA + NAA (1000ppm + 1000ppm) was the most effective treatment on the early sprouting (4.33 DAP), the higher number of leaves per cuttings (21.67), the diameter of the shoot (3.74mm), length of the shoot (31.67cm) and leaves (13.58cm), leaf area (41.35cm2), fresh (53.73g) and dry (12.16g) weight, and shooting percentage (86.66%), while the maximum Survival percentage (93.33%) under the IBA (1000ppm) and high mortality rate were observed under control followed by IBA + Kinetin (1000ppm + 200ppm) treatment. Additionally, regarded with Biofertilizers, the highest shoot growth was observed under the Mycorrhiza (@500g/L) followed by PSB (@500g/L) of the most parameter as compared with control. Thus, the proportional combination of Auxins and the application of biofertilizers stimulates and might be a greater source for the vegetative growth of the mulberry cuttings.
Genetic architecture of routinely acquired blood tests in a UK cohort of South Asian ancestry reveals ancestry-specific causal variants
Authors: Jacobs Benjamin , Stow Daniel , Hodgson Sam , Zöllner Julia , Samuel Miriam , Kanoni Stavroula , Bidi Saeed , Team Genes and Health Research , Langenberg Claudia , Dobson Ruth , Finer Sarah , Morton Caroline , Siddiqui Moneeza , Martin Hilary , Pietzner Maik , Mathur Rohini , Heel David van 
Published: October 2023

Abstract

Understanding the genetic basis of blood tests routinely acquired in clinical care can provide insights into several aspects of human physiology and disease. Previous efforts have almost exclusively focussed on individuals of European descent, severely limiting generalizability to ancestrally-diverse populations. Here we describe the largest genome-wide association study of quantitative traits in a cohort of South Asian ancestry. We tested the association of >7 million autosomal, common (minor allele frequency [MAF] > 1%) Single Nucleotide Polymorphisms (SNPs) genotyped using the Illumina Global Screening Array version 3 and imputed from the TOPMED-r2 panel. We defined 39 quantitative blood test traits from Electronic Healthcare Records (EHRs) – both primary care and hospital records - of ~40,000 British Bangladeshi and British Pakistani adults. We discover eight novel locus-trait associations which were specific to Genes & Health, including CUX2 (serum vitamin D), BRD3OS (glycated haemoglobin) and STMN2 (lymphocyte count). By performing multi-ancestry meta-analysis and fine mapping using data from UK Biobank, we demonstrate ancestry-specific causal variants within the PIEZO1 and HBB loci which were associated with alterations in red cell traits and glycated haemoglobin. The South Asian ancestry-specific causal signal for glycated haemoglobin, rs563555492(MAF 3.2% in 1,000 Genomes South Asian ancestry samples), is a missense variant in PIEZO1 which is monomorphic in other ancestries, and illustrates how ancestry-specific genetic variants may be of relevance for the design of clinical reference ranges. Our results shed light on the genetic basis of clinically-relevant quantitative traits in an under-represented population, and emphasise the importance of ancestral diversity in genetic studies.
Fluorine contamination, mobility, and risks in soils at a phosphate-gypsum waste landfill: A new analytical method and comparison with previous methods
Authors: Oh Seok-Young , Kim Hyeongseok , Yoon Hye-On 
Published: October 2023

Abstract

This study used a new X-ray fluorescence (XRF)-based analytical method with better precision and sensitivity to evaluate the fluorine concentrations in soil. It was hypothesized that the XRF method with a pellet-synthesizing procedure may effectively analyze the fluorine concentrations in soil with ease and reliability. The total fluorine concentrations determined using XRF were compared with those determined using three different types of analytical protocols—incineration/distillation, alkaline fusion, and aqua regia extraction procedures. Among the three procedures, the incineration/distillation procedure did not show reliable precision and reproducibility. In contrast, the total fluorine concentrations determined using the XRF analysis were linearly correlated with those determined using the alkaline fusion and aqua regia extraction procedures. Based on the results of the Korean waste leaching procedure (KWLP) and toxicity characteristics leaching procedure (TCLP), the leachability of fluorine from soil and waste was not directly related to total fluorine concentrations in soil. Risk assessment also revealed that the fluorine-rich soils did not show non-carcinogenic toxic effects, despite exceeding the regulation level (800 mg/kg) in South Korea for total fluorine concentrations in soil. Our results suggest that XRF analysis in combination with the newly developed pretreatment method may be a promising alternative procedure for easily and rapidly determining the total fluorine concentration in soil. However, further efforts are needed to evaluate fluorine leachability and its associated risks in fluorine-contaminated soils.
Complex regulatory role(s) of Atf1 and Pcr1 under nitrosative stress in Schizosaccharomyces pombe
Authors: Dey Chirandeep , Samaddar Shuddhasattwa , Ghosh Sanjay 
Published: October 2023

Abstract
Excess nitric oxide (NO) and reactive nitrogen species produce nitrosative stress in cells. Schizosaccharomyces pombe cells showed intra S-phase check point activation under nitrosative stress. In this study we investigated the role of bZIP transcription factors Atf1 and Pcr1 under nitrosative stress in S. pombe. Δatf1 and Δpcr1 strain of S. pombe showed differential growth sensitivity towards NO donor. Δatf1 strain of S. pombe showed growth acceleration whereas Δpcr1 showed growth retardation in response to NO donor. Mitotic index and flow cytometry data also showed faster mitotic entry and absence of intra S-phase checkpoint activation in Δatf1 strain of S. pombe compared to Δpcr1 strains in response to NO donor. Interestingly, phospho mutant of Atf1 also showed similar effects like the wild type indicating phosphorylation of Atf1 was not essential for inducing nitrosative stress response in S. pombe. Our previous experimental evidences established the fact that Wee1 phosphorylates Cdc2 Tyr15 which leads to replication slowdown in the fission yeast under nitrosative stress. Cdc13 is a B-type cyclin and it forms a complex with Cdc2, and this complex formation is essential for activating Cdc2. To check whether Pcr1 and Cdc13 are involved or not in Δatf1 strain of S. pombe for activating Cdc2 under nitrosative stress, we checked the transcripts of both. Both Pcr1 and Cdc13 expression were significantly increased in S. pombe upon nitrosative stress in the absence of Atf1. From our study it is evident that Atf1 and Pcr1 play complex regulatory role in S. pombe under nitrosative stress.
Invasion Note Predatory preferences of a non-indigenous crab do not depend on prey invasion status
Authors: Theurich Nora , Briski Elizabeta , Cuthbert Ross N. 
Published: October 2023

Abstract
Predatory non-indigenous species (NIS) have profound impacts on global ecosystems, potentially leading to native prey extinction and reshaping community dynamics. Among mechanisms potentially mediating predator impacts and prey invasion success are predator preferences between native vs. non-indigenous prey, a topic still underexplored. Using functional response and prey preference experiments, this study focused on the predation by the non-indigenous Japanese brush-clawed shore crab, Hemigrapsus takanoi, between the native gammarid Gammarus duebeni and the analogous non-indigenous Gammarus tigrinus. Although H. takanoi showed subtle differences in its functional response type between the two prey species, its preferences across their environmental frequencies were not strongly influenced by prey invasion status. This lack of clear preference indicates that intraguild interactions between the two gammarids might play a more significant role in ecosystem dynamics than predation by H. takanoi. Such findings highlight the need for a comprehensive understanding of interactions in ecosystems with multiple NIS, offering fresh insights into complex feeding interactions within marine environments.
The use of a low-cost, small-aperture array as an auxiliary tool to improve infrasound monitoring in the Azores region
Authors: Jesus Maria do Céu , Belli Giacomo , Gheri Duccio , Matos Sandro , Wallenstein Nicolau , Marchetti Emanuele 
Published: October 2023

Abstract
The 2022’s seismo-volcanic crisis on São Jorge Island of the Azores archipelago, has provided an opportunity to deploy a portable infrasound array (SJ1), in a collaborative work between the Research Institute for Volcanology and Risk Assessment (IVAR), of the University of the Azores (UAc), and the University of Florence (UniFI). This 4-element array became operational on 2nd April 2022. Despite being deployed in a first stage to monitor the activities related to the volcanic unrest on São Jorge Island, SJ1 integrated an infrasound monitoring network in the region in association with the IMS infrasound station IS42, located on Graciosa Island at ~ 40 km distance. This work emphasises the importance of low-cost portable infrasound arrays in improving the coverage of infrasound observations for local and regional monitoring purposes in the area of the Azores. In this regard, two events recorded by both arrays are briefly exemplified herein: a low-magnitude earthquake on São Jorge Island and a fireball which crossed the North Atlantic Ocean.
Analysis of cone-beam CT measurements of three-dimensional gingival morphology in the aesthetic zone of maxillary anterior teeth
Authors: Hua Liu , Yating Fu , adayi aidina , Xiao Ma 
Published: October 2023

Abstract
OBJECTIVE: By utilizing a combination of cone beam computed tomography(CBCT) and other methods, our objective is to examine the three-dimensional structure of the labial gingiva of maxillary anterior teeth, enabling us to develop an indirect means of evaluating gingival morphology.
METHODS: 35 healthy participants received a combination of gingival barrier resin and iodohexol on the labial aspect of their maxillary anterior teeth. CBCT scans were taken using positioning wires. Gingival tissue height(SGT), gingival thickness(GT), keratinised gingival width(KGW), and differences between gingival phenotypes were analyzed statistically.
RESULT：The research discovered that mesial incisors are situated further away from the labial central SGT than cuspids. The maxillary anterior area showed the thickest GT in mesial incisors and the thinnest in cuspids. Males exhibited thicker GT in incisors, while KGW was more extensive in incisors than in cusps. A correlation analysis unveiled positive correlations between GT-KGW, GT-SGT, and KGW-SGT. Variation was also observed in KGW and SGT between thick and thin gingival types.
CONCLUSION: Significant discrepancies were identified in the SGT, GT, and KGW values within the anterior maxillary region amongst distinct gingival phenotypes, indicating the possibility of designing individualized treatment regimens based on those phenotypes.
Clinical Relevance:This study showcases the clinical implementation of CBCT and a combination approach to evaluating gingival morphology, revealing the prospect of developing bespoke treatment plans tailored to an individual's gingival biotype.
Securing the Cloud: An In-depth Exploration of Conceptual Models, Emerging Trends, and Forward-looking Insights
Authors: Mupila Francis k. , Gupta Himanshu , Bhardwaj Akashdeep 
Published: October 2023

Abstract

The ascendancy of cloud computing, while praising scalability and flexibility, simultaneously unveils a convoluted security panorama. This review talks about the complicated ideas behind security models in cloud environments. It combines information from several studies to show how cloud security has changed, where it is now, and what the future holds. It details the change from traditional security models to more abstract, data-centric, and user-access control models, showing how people are trying to balance new technologies and cyber threats. Case studies like the Capital One Data Breach add to the discussion by showing how things work in the real world. The discussion then moves on to a summary of the findings that show how important it is to have dynamic, proactive, and multifaceted security approaches. Challenges spanning technical, organisational, and regulatory domains are elucidated, spotlighting gaps and beckoning deeper exploration into emerging technologies' implications and ethical considerations in cloud security. The paper culminates with strategic recommendations for varied stakeholders and signals towards unexplored avenues in cloud security research, particularly intertwining the potential and ethical dimensions of technologies like Quantum Computing and Blockchain. This review seeks to act as a lighthouse, guiding organisations, researchers, and policymakers through the murky waters of cloud security and offering a structured pathway towards a secure, resilient, and ethically sound cloud future.