bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Innovative Non-destructive Technology for Controlling the Storage Period of Chicken Eggs Using Egg Parameters
Authors: Narushin Valeriy G. , Romanov Michael N. , Salamon Attila , Kent John P. 
Published: December 2023

AbstractWe proposed here a non-destructive technology for pre-sorting eggs into subclasses characterized by a specifical acceptable shelf life and quality requirements. Egg characteristics were identified suiting a predictive model for controlling storage periods. Accordingly, the relationships of egg parameters were assessed, with weight loss (ΔW) during storage being the best indicator of changes in egg contents variables. Using changes in ΔW, we established three indicators with the maximum effect on fast egg drying and shrinkage. These included egg weight (W), egg volume-to-surface area ratio, and air cell diameter. The relationship formulae were derived to estimate the ΔW value accurately. This approach enables to judge regarding the potential of each particular egg subclass for its acceptable weight shrinkage and assign an optimal storage period for it. The proposed non-invasive analytical method can be implemented in industrial conditions for both table and hatching eggs with the available set of automated technological equipment.
Using Optic Nerve Sheath Diameter for Intracranial Pressure (ICP) Monitoring in Traumatic Brain Injury: A Scoping Review
Authors: Martínez-Palacios Karol , Vásquez-García Sebastián , Fariyike Olubunmi A. , Robba Chiara , Rubiano Andrés M. ,   the noninvasive ICP monitoring international consensus group, Taccone Fabio Silvio , Rasulo Frank , Badenes R Rafael , Menon David , Sarwal A Aarti , Cardim D Danilo , Czosnyka Marek , Hirzallah Mohammad , Geeraerts Thomas , Bouzat Pierre , Lochner Pier G. , Aries Marcel , Wong Yu Lin , Abulhassan Yasser , Sung Gene , Prabhakar Hemanshu , Shrestha Gentle , Bustamante Luis , Jibaja Manuel , Pinedo Juan , Sanchez Diana , Mendez Julio Mijangos , Vásquez Franly , Shukla Dhaval P. , Worku Getaw , Tirsit Abenezer , Indiradevi Bhagavatula , Shabani Hamisi , Adeleye Amos , Munusamy Thangaraj , Ain Amelia , Paiva Wellingson , Godoy Daniel , Brasil Sérgio , Robba Chiara , Rubiano Andrés , Vásquez-García Sebastián 
Published: December 2023

Abstract
Introduction
Neuromonitoring represents a cornerstone in the comprehensive management of patients with traumatic brain injury (TBI), allowing for early detection of complications such as increased intracranial pressure (ICP) [1]. This has led to a search for noninvasive modalities that are reliable and deployable at bedside. Among these, ultrasonographic optic nerve sheath diameter (ONSD) measurement is a strong contender, estimating ICP by quantifying the distension of the optic nerve at higher ICP values. Thus, this scoping review seeks to describe the existing evidence for the use of ONSD in estimating ICP in adult TBI patients as compared to gold-standard invasive methods.

Materials and Methods
This review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews, with a main search of PubMed and EMBASE. The search was limited to studies of adult patients with TBI published in any language between 2012 and 2022. Sixteen studies were included for analysis, with all studies conducted in high-income countries.

Results
All of the studies reviewed measured ONSD using the same probe frequency. In most studies, the marker position for ONSD measurement was initially 3 mm behind the globe, retina, or papilla. A few studies utilized additional parameters such as the ONSD/ETD (eyeball transverse diameter) ratio or ODE (optic disc elevation), which also exhibit high sensitivity and reliability.

Conclusion
Overall, ONSD exhibits great test accuracy and has a strong, almost linear correlation with invasive methods. Thus, ONSD should be considered one of the most effective noninvasive techniques for ICP estimation in TBI patients.
The effect of library preparation protocol on the efficiency of heteroplasmy detection in mitochondrial DNA using two massively parallel sequencing Illumina systems
Authors: Daca-Roszak Patrycja , Fiedorowicz Joanna , Jankowski Maciej , Ciesielka Marzanna , Teresiński Grzegorz , Lipska-Zietkiewicz Beata , Zietkiewicz Ewa , Grzybowski Tomasz , Skonieczna Katarzyna 
Published: December 2023

AbstractMassively parallel sequencing (MPS) technology has become the gold standard in mitochondrial DNA research due to its high sensitivity in detecting mtDNA heteroplasmy, a prognostic marker in various medical applications. Various MPS technologies and platforms used for mtDNA analysis exist. Obtaining reliable and sensitive results requires deep and uniform coverage of the entire mtDNA sequence, which is heavily influenced by the choice of library preparation method and sequencing platform. Here, we present a comparison of the sequencing coverage and the ability to heteroplasmy detection using two library preparation protocols (Nextera XT DNA Library Preparation Kit and Nextera DNA Flex Library Preparation Kit) and two different (MiSeq FGx and ISeq 100) Illumina MPS platforms. Our study indicates that the Nextera DNA Flex Library protocol provides a more balanced coverage along the mitogenome and a reliable heteroplasmy detection with both MiSeq and iSeq Illumina MPS systems.
Recent Advances and Future Perspectives in Mitigating Invasive Antifungal-Resistant Pathogen Aspergillus fumigatus in Africa
Authors: Achilonu Conrad Chibunna , Davies Adeyinka , Kanu Okezie O. , Noel Colin B. , Oladele Rita 
Published: December 2023

Abstract
Purpose of Review
Azole resistance in Aspergillus fumigatus is an emerging public health issue with global distribution and has been linked to use in agricultural and horticultural settings. In 2022, the World Health Organization (WHO) created a fungal pathogen priority list, and A. fumigatus was listed as a critical pathogen. Currently, Africa lacks effective surveillance systems for this emerging threat, mostly due to lack of capacity and diagnostics to determine azole resistance in routine clinical settings. This review aims to address and improve on the current diagnostic tools and future perspective strategies in tackling clinical and environmental antifungal-resistant (AFR) A. fumigatus in Africa. We emphasized on the importance of early diagnosis and misdiagnosis associated with aspergillosis caused by Aspergillus sp., cross talk between clinical and environmental, mode of action and resistance mechanism, collaborative one health approach, and future perspectives for AFR A. fumigatus management strategies.

Recent Findings
Early diagnosis and effective management of invasive aspergillosis are critical. On the continent, very few laboratories routinely conduct antifungal susceptibility testing on Aspergillus species. Where this occurs, it is culture-based in vitro antifungal susceptibility testing. Drug repurposing and the need for a non-culture-based molecular method (PCR) are critical.

Summary
Enhancing promising future perspectives of non-cultured approaches such as whole-genome sequencing, CRISPR/Cas9, and RNAi-mediated technologies to complement the culture-based approach as important strategies to mitigate and overcome emerging issues of AFR A. fumigatus in Africa.
4D printing of shape memory polymer with continuous carbon fiber
Authors: Kumar S. Siddharth , Akmal Jan S. , Salmi Mika 
Published: December 2023

AbstractShape memory polymer composites (SMPCs) have gained attention for their shape memory effects and wide-ranging applications. Understanding the bending shape recovery characteristics of 3D printed SMPCs is crucial for optimizing their performance. This study focuses on investigating the influence of different fiber orientations of continuous carbon fiber (CCF) in thermally stimulated SMPC. By controlling printing parameters and fiber orientation during the 3D printing process, we fabricate tailor-made rectangular composite test specimens. These specimens are subjected to controlled bending above the glass transition temperature of the polymer, inducing temporary deformation. The subsequent shape recovery process is carefully captured through high-speed video. Precise measurements of the bending curvature over time are obtained using the row-by-row image processing technique and analyzed. The shape recovery rate, shape recovery ratio, and shape fixity ratio of the test specimens were evaluated as a function of three CCF layout arrangements as well as fiber infill density embedded in Shape Memory Polymer (SMP) test specimens. The results revealed that the addition of CCF in the polymer matrix has a significant impact on shape memory behavior. Vertically aligned CCF in the SMP matrix improves the shape recovery ratio (92.97% compared to 78.77% of the pure SMP sample), while horizontal alignment of CCF ensures maximum shape fixity ratio (91.78% compared to 66.22% of the pure SMP sample). The cross-aligned CCF sample provides good recovery as well as fixity values. Further, it was observed that the horizontal alignment of CCF yields the fastest recovery performance. The outcome confirms that optimizing the fiber orientation enhances shape memory performance. Also, 40% of fiber infill density had greater shape fixity and overall recovery performance when compared to 30% and 50%. These findings have implications for tailored and high-performance SMPCs in biomedical devices, aerospace components, and robotics. Understanding temporal curvature behavior enables optimizing the design of materials with precise control over shape recovery. This research contributes to the design and optimization of SMPCs for diverse applications.
AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance
Authors: Forkan Abdur Rahim Mohammad , Kang Yong-Bin , Marti Felip , Banerjee Abhik , McCarthy Chris , Ghaderi Hadi , Costa Breno , Dawod Anas , Georgakopolous Dimitrios , Jayaraman Prem Prakash 
Published: December 2023

AbstractThe transformation of cities into smarter and more efficient environments relies on proactive and timely detection and maintenance of city-wide infrastructure, including roadside infrastructure such as road signs and the cleaning of illegally dumped rubbish. Currently, these maintenance tasks rely predominantly on citizen reports or on-site checks by council staff. However, this approach has been shown to be time-consuming and highly costly, resulting in significant delays that negatively impact communities. This paper presents AIoT-CitySense, an AI and IoT-driven city-scale sensing framework, developed and piloted in collaboration with a local government in Australia. AIoT-CitySense has been designed to address the unique requirements of roadside infrastructure maintenance within the local government municipality. A tailored solution of AIoT-CitySense has been deployed on existing waste service trucks that cover a road network of approximately 100 kms in the municipality. Our analysis shows that proactive detection for roadside infrastructure maintenance using our solution reached an impressive 85%, surpassing the timeframes associated with manual reporting processes. AIoT-CitySense can potentially transform various domains, such as efficient detection of potholes and precise line marking for pedestrians. This paper exemplifies the power of leveraging city-wide data using AI and IoT technologies to drive tangible changes and improve the quality of city life.
Assessment of Disparity in Accessing Railway Stations in Thailand: an Application Geographic Information System Network Analysis
Authors: Theerathitichaipa Kestsirin , Wisutwattanasak Panuwat , Se Chamroeun , Seefong Manlika , Jomnonkwao Sajjakaj , Champahom Thanapong , Ratanavaraha Vatanavongs , Kasemsri Rattanaporn 
Published: December 2023

AbstractEnsuring that people from all regions in a country can easily access railway stations is a crucial objective in the development of transportation and mobility systems and is essential for the convenient travel within the country. Furthermore, accurately assessing accessibility in disadvantaged areas is pivotal in designing and implementing development policies for equitable and sustainable transportation systems. Although various methods and tools are available for measuring accessibility, interpreting local-level data remains challenging. This study was conducted in Thailand, a country with severe accessibility disparities but undergoing considerable development. Therefore, the objective of this study was to evaluate accessibility disparities to analyze accessibility capabilities and inequality of railway stations. The objective of the study was to aid the development of inequality and railway services to cover all areas. The geographic information system methodology with network analysis tools was used to visualize and analyze spatial accessibility data and identify regional disparities. The results of this study indicate inequality in accessing railway services, which revealed that densely populated areas have superior access to railway stations compared with districts with a lower population density. Additionally, over 41% of the study area’s population resides more than half an hour away from access to a railway station. This study highlights regional inequality in accessing railway station services. Furthermore, strategies to alleviate this inequality are presented, and the findings will aid government agencies and railway planners in designing critical strategies or formulating policies for improving accessibility to rail transportation systems and reducing inequality in accessing railway services.
A cluster investigation of Candida auris among hospitalized incarcerated patients
Authors: McDougal April N. , DeMaet Mary Ann , Garcia Bobbiejean , York Teresa , Iverson Thomas , Ojo Olugbenga , Patel Janak 
Published: December 2023

Abstract

Objective:
Investigate and mitigate a cluster of Candida auris cases among incarcerated patients in a maximum-security prison hospital utilizing contact tracing, screening, whole genome sequencing, and environmental sampling and decontamination.

Design:
Outbreak investigation.

Setting:
Inpatient prison hospital affiliated with an academic tertiary referral center.

Patients:
Inmates of the Texas Department of Criminal Justice.

Methods:
Epidemiologic and environmental investigations were conducted including contact tracing, point prevalence surveys, and environmental sampling. Whole genome sequencing was performed on positive patient isolates.

Results:
Following a clinical case of C. auris fungemia, 344 patients underwent C. auris surveillance screening. Eight (2.3%) patients were identified with C. auris colonization. All patients were male. Our index patient was the only clinical case and death. Whole genome sequencing was performed on the nine patient isolates. All isolates were clade III (Africa) and clustered together with the largest SNP difference being 21. Environmental cultures from 7 of 61 rooms (11.5%) were positive following terminal disinfection with bleach. Sites nearest to the patient were most often positive including the hospital bed rails and bedside table. The transmission cluster was successfully mitigated within 60 days of identification.

Conclusions:
Implementation of an aggressive surveillance and decontamination program resulted in mitigation of a C. auris transmission cluster among our incarcerated patients. This investigation provides valuable insight into C. auris transmission in the incarcerated population, which is not considered a classic high-risk population as well as the challenges faced to stop transmission in a facility that requires the use of shared patient environments.
Building Castles in the Air? The EU Blocking Regulation and the Protection of the Interests of Private Parties
Authors: Szabados Tamás 
Published: December 2023

AbstractThe EU Blocking Regulation intends to exclude the effects of extraterritorial legislation by third countries and, in particular, those of US economic sanctions, to protect the interests of economic actors in the EU. The goals of the Regulation—effective enforcement of EU law and the protection of the interests of EU economic actors—give rise to an enforcement paradox: a lack of enforcement by the Commission and the state authorities. The Bank Melli case not only demonstrates a shift in the enforcement of the Blocking Regulation to private parties but also sheds light anew on the doubts about its ability to protect private interests.
Looking differently at locative events: the cognitive impact of linguistic preferences
Authors: Lesuisse Mégane , Lemmens Maarten 
Published: December 2023

Abstract
While the Talmian dichotomy between satellite-framed and verb-framed languages has been amply studied for motion events, it has been less discussed for locative events, even if Talmy considers these to be included in motion events. This paper discusses such locative events, starting from the significant cross-linguistic variation among Dutch, French, and English. Dutch habitually encodes location via cardinal posture verbs (CPVs; ‘SIT’, ‘LIE’, ‘STAND’) expressing the orientation of the Figure, French prefers orientation-neutral existence verbs like être ‘be’ and English – unlike for motion events – straddles the middle with a marked preference for be but the possibility to occasionally rely on CPVs. Through the analysis of recognition performances and gazing behaviours in a non-verbal recognition task, this study confirms a (subtle) cognitive impact of different linguistic preferences on the mental representation of locative events. More specifically, they confirm the continuum suggested by Lemmens (2005, Parcours linguistiques. Domaine anglais (pp. 223–244). Publications de l’Université St Etienne.) for the domain of location with French on the one extreme and Dutch on the other with English in-between, behaving like French in some contexts but like Dutch in others.
Longitudinal associations between early risk and adolescent delinquency: Mediators, moderators, and main effects
Authors: Fagan Jay , Cabrera Natasha , Kobulsky Julia 
Published: December 2023

AbstractAlthough multiple domains of risk are theorized to predict adolescent delinquency, father-specific risk in the context of other risks is under-researched. Using the low-income Future of Families and Child Wellbeing cohort (48% Black, 27% Hispanic, 21% White, 51% boy, N = 4,255), the current study addressed three research questions. (1) are father-, mother-, child-, and family-level cumulative risk during early childhood associated with adolescent delinquent behavior?, (2) does child self-control in middle childhood mediate the associations between fathers’ and mothers’ cumulative risk and adolescent delinquent behavior, and do quality of parent’s relationships with children and parental monitoring in middle childhood mediate the association between child cumulative risk and delinquent behavior?, (3) do parenting, quality of parent-child relationships in middle childhood, and child sex at birth moderate the associations among fathers’, mothers’, children’s, and family risk and adolescent delinquent behavior? Results indicated father, child, and mother risk at ages 3–5 were significantly and positively associated with youth-reported delinquent behavior. Higher levels of family risk were associated with less delinquency when 9-year-olds felt closer to fathers than when they felt less close. Children’s self-control at age 9 mediated the associations between father and child risk and delinquent behavior.
A Laboratory Model for Iron Snow in Planetary Cores
Authors: Huguet Ludovic , Le Bars Michael , Deguen Renaud 
Published: December 2023

AbstractSolidification of the cores of small planets and moons is thought to occur in the “iron snow” regime, in which iron crystals form near the core‐mantle boundary and fall until re‐melting at greater depth. The resulting buoyancy flux may sustain convection and dynamo action. This regime of crystallization is poorly understood. Here we present the first laboratory experiments designed to model iron snow. We find that solidification happens in a cyclic pattern, with intense solidification bursts separated by crystal‐free periods. This is explained by the necessity of reaching a finite amount of supercooling to re‐initiate crystallization once the crystals formed earlier have migrated away. When scaled to planetary cores, our results suggest that crystallization and the associated buoyancy flux would be strongly heterogeneous in time and space, which eventually impacts the time variability and geometry of the magnetic field.
Aspect Matters: Unraveling Microclimate Impacts on Mountain Greenness and Greening
Authors: Yin Gaofei , Xie Jiangliu , Ma Dujuan , Xie Qiaoyun , Verger Aleixandre , Descals Adrià , Filella Iolanda , Peñuelas Josep 
Published: December 2023

AbstractMountains are vital ecosystems, yet predicting plant growth there is complex due to diverse microclimates on slopes. Equatorial‐facing slopes (EFSs) are drier and warmer, and polar‐facing slopes (PFSs) are wetter and colder, than their regional macroclimates. Analyzing Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index from 2003 to 2021, we identified a clear geographic pattern of differences in greenness on the two opposite aspects: EFSs were greener than PFSs in cold areas and were browner in dry areas, mainly determined by the relative importance of limitations of temperature and water. PFSs had stronger greening trends than did EPSs, leading to a weakening difference in greenness between EPSs and PFSs in temperature‐limited areas, and an intensifying difference in water‐limited areas. This suggests the alleviation of temperature limitation and exacerbation of water limitation. Montane ecosystems constitute a “natural laboratory” for deepening our understanding of the temporal evolution of the climatic control of vegetation growth with a space‐for‐time substitution.
Improved Observations of Deep Earthquake Ruptures Using Machine Learning
Authors: Shi Qibin , Denolle Marine A. 
Published: December 2023

AbstractElevated seismic noise for moderate‐size earthquakes recorded at teleseismic distances has limited our ability to see their complexity. We develop a machine‐learning‐based algorithm to separate noise and earthquake signals that overlap in frequency. The multi‐task encoder‐decoder model is built around a kernel pre‐trained on local (e.g., short distances) earthquake data (Yin et al., 2022, https://doi.org/10.1093/gji/ggac290) and is modified by continued learning with high‐quality teleseismic data. We denoise teleseismic P waves of deep Mw5.0+ earthquakes and use the clean P waves to estimate source characteristics with reduced uncertainties of these understudied earthquakes. We find a scaling of moment and duration to be M0 ≃ τ4, and a resulting strong scaling of stress drop and radiated energy with magnitude ( and ). The median radiation efficiency is 5%, a low value compared to crustal earthquakes. Overall, we show that deep earthquakes have weak rupture directivity and few subevents, suggesting a simple model of a circular crack with radial rupture propagation is appropriate. When accounting for their respective scaling with earthquake size, we find no systematic depth variations of duration, stress drop, or radiated energy within the 100–700 km depth range. Our study supports the findings of Poli and Prieto (2016, https://doi.org/10.1002/2016jb013521) with a doubled amount of earthquakes investigated and with earthquakes of lower magnitudes.