bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experiences of breastfeeding among mothers of preterm infants during their infants’ hospital stays: a qualitative systematic review protocol
Authors: Srichalerm Tippawan , Kamkhoad Donruedee , Phonyiam Ratchanok 
Published: September 2024

Objective:
The objective of this review is to synthesize the existing qualitative evidence on the breastfeeding experiences of mothers with hospitalized preterm infants.

Introduction:
Breastfeeding is crucial for the well-being and development of preterm infants born before 37 weeks’ gestation. Mothers of preterm infants often face challenges that make breastfeeding particularly complex. Understanding their breastfeeding experience is important for health care professionals as it enables them to provide appropriate support and assistance. The qualitative evidence synthesis regarding the breastfeeding experiences of mothers with preterm infants in hospital settings is a valuable area of research that has not been documented.

Inclusion criteria:
This review will consider all qualitative studies that explore the experiences of mothers with preterm infants with breastfeeding and mother’s own milk management for their hospitalized infants. All mothers of preterm infants who provide their own milk to their infants will be considered, regardless of their health and social status.

Methods:
This review will follow the JBI approach for qualitative systematic review. The search strategy aims to find both published and unpublished studies with no date limit. A search of PubMed, CINAHL (EBSCOhost), and Embase (EBSCOhost) will be undertaken to identify articles on the topic. Studies published in English will be considered for inclusion in this review. Two independent reviewers will evaluate the methodological validity of the selected papers before incorporating them into the review. Data synthesis will be conducted using the meta-aggregation approach, and synthesized findings will be assessed using the ConQual approach.

Review registration:
PROSPERO CRD42024501454
Research for the Enhanced Oil Recovery Mechanism of Heavy Oil After Composite Huff and Puff Assisted by Edge-Bottom Water Displacement
Authors: Tao Lei , Wu Mengjun , Zhang Na , Shi Wenyang , Cao Lili , Song Yong , Bai Jiajia , Xu Zhengxiao , Zhu Qingjie 
Published: September 2024

Abstract
In the late stage of exploiting heavy oil reservoirs with edge-bottom water, we are faced with problems such as high crude oil viscosity, channeling of bottom water, and rapid rise in water cut. To clarify the synergistic effect of N2, CO2, N2 foam, and viscosity reducer in water control and oil increase, and solve the problem of edge-bottom water rushing into production wells, one-dimensional sand-pack huff and puff experiments were carried out. First, the N2 foam huff and puff experiment evaluated the effect of N2 foam on controlling bottom water. Then the viscosity reducer-assisted CO2 huff and puff experiment analyzed the synergistic viscosity reduction ability between the two to mobilize the remaining heavy oil. Next, the N2 foam–viscosity reducer–CO2 huff and puff experiment clarified the synergistic effect between the three. Finally, the N2 foam–viscosity reducer–CO2–N2 huff and puff experiment solved the problem of insufficient reservoir energy based on synergistic precipitation and oil increase. Experimental results show that N2 foam–viscosity reducer–CO2–N2 huff and puff is the optimal water control and oil increase solution. This solution can significantly reduce water production and increase oil production. In the one-dimensional sand-pack experiment, this technical solution reduced the water content by 68% and increased the recovery rate by 16.09%. The research results provide a reference for the development of exploitation technology schemes for similar edge-bottom water heavy oil reservoirs after entering high water cut.
Material Homogenization of Human Femur Bone Material Using a New Weighted Approach
Authors: Kabir Mobashar , Pervez Tasneem , Al-Jahwari Farooq K. S. , Al-Kharusi Moosa S. M. 
Published: September 2024

Abstract
The design of efficient and safe biocompatible artificial implants for bone replacement and reconstructions requires a thorough understanding of natural bone material. A new homogenization approach is therefore used to predict effective material properties of the human femur bone. The bone structure is idealized as a functionally graded (FG) composite made of different quantities of a collagen protein matrix reinforced by hydroxyapatite mineral acting as the filler. Two distinct composite models were investigated, one where the mineral reinforcements were assumed to be randomly dispersed inclusions in a matrix of collagen, and a second model wherein the minerals were assumed to be unidirectional fibers. Predicted results for longitudinal and transverse elastic modulus from the models compare very well with range of values from published experimental data. It is also compared to those predicted using classical homogenization models. These material properties are then used to obtain the structural response of a bone plate section under transverse load.
Control of Combustion Phasing Using Accelerometer-Based Non-Intrusive Sensing
Authors: Govind Raju Sathya Aswath , Reisetter Mitchell , Miganakallu Niranjan , Stafford Jacob , Sun Zongxuan , Rothamer David , Kim Kenneth , Kweon Chol-Bum Mike 
Published: September 2024

Abstract
Measuring the combustion phasing of an engine using in-cylinder pressure sensors is well established. However, pressure sensors need to be directly exposed to the in-cylinder environment, requiring changes to the cylinder head. Several methods have been proposed for sensing combustion phasing non-intrusively by mounting an accelerometer on the engine block. This paper presents real-time control of combustion phasing in a compression-ignition engine using non-intrusive accelerometer-based sensing during a dynamic fuel switch. A systematic data-driven control framework capable of handling fuel switching in real-time is used. The control is designed based on the pressure data, and the real-time implementation is performed using the accelerometer signal. Results from combustion phasing tracking experiments performed on a compression-ignition engine are presented.
Machine Learning Algorithm for Predicting Heat Transfer Coefficient and Pressure Drop in Dimpled Ducts
Authors: Shaeri Mohammad Reza , Randriambololona Andoniaina M. , Adhikari Daksh 
Published: September 2024

Abstract
Recent advances in machine learning (ML) techniques have led to a shift in strategy for predicting the hydrothermal performance of thermal management solutions. This study presents the ML-based prediction of hydrothermal performances of water-cooled dimpled ducts using an artificial neural network (ANN). The significance of the present study is to develop the ANN model using a limited number of performance data without any existing relations/correlations between input variables and outputs. Thermal and hydrodynamic performances of the ducts are represented by heat transfer coefficient and pressure drop, respectively. The input dataset for training the ANN model was prepared through a computational fluid dynamics (CFD) approach. The accuracy of the ANN model was demonstrated as such it predicted heat transfer coefficients and pressure drops of new dimpled ducts within ±17% and ±19% of true values, respectively. The present study provides a practical insight to predict the hydrothermal performance of a thermal management solution subject to limited available datapoints, and without detailed knowledge about the complex thermo-fluid physics behind the operation of the cooling system.
Digital Twin Development of a R134a Plate-Tube Evaporator
Authors: Ispir Ali Can , Speetjens Michel 
Published: September 2024

Abstract
This work proposes a machine-learning framework for developing digital twins of evaporators, crucial components within heat pumps, by training nonlinear regression models with high-fidelity unsteady CFD data. This is applied to a plate-tube type heat evaporator within a single-stage heat pump utilizing R134a refrigerant to recover heat from waste water. The independent variables are chosen as the refrigerant and water inlet velocity and temperature values, and the R134a evaporation pressure under transient conditions. We identify the dynamic heat transfer process in the evaporator with three objective functions i.e., dependent variables: heat transfer coefficients on both the water and refrigerant sides, and dryness fraction at the outlet of the refrigerant flow domain. The Latin hypercube data-sampling method is employed to generate a data space along the selected independent variables. Reynolds-averaged Navier-Stokes filtered flow equations, coupled with the Volume of Fluid method for modeling phase change in the 3D heat exchanger domain, are solved for each scenario in the data space to generate the training data. Gaussian process regression, trained using 80% of the generated data and validated by the remaining set, is utilized to identify surrogate models for the objective functions at each time interval during operation.
Review of Thermal Cooling of EV Batteries With Heat Pipes
Authors: Dunn Anthony , Shafahi Maryam 
Published: September 2024

Abstract
With the recent explosion of the global electric vehicle (EV) market comes the need for improved battery technology, and specifically battery cooling system performance. Heat pipes play an important role in the thermal management of electric vehicle (EV) batteries, ensuring efficient and reliable cooling to maintain optimal operating temperatures. The primary function of heat pipes in EV battery cooling is to dissipate excess heat generated during the charging and discharging processes. As the battery operates, it experiences fluctuations in temperature, and excessive heat can degrade battery performance and lifespan. Heat pipes can help regulate these temperatures by absorbing and transporting heat away from critical components. By using heat pipes, EV manufacturers can enhance the overall thermal performance of the battery, contributing to increased energy efficiency, extended battery life, improved operating performance and improved safety. In this paper, the application of heat pipe technology to meet the cooling challenges of modern EV battery packs is studied. Heat pipe size, shape, and configuration in EV battery applications is presented. Working fluid choices are highlighted. Configurations of Battery Thermal Management Systems (BTMSs) using heat pipes are presented. The use of nanofluid particles in the working fluid to enhance the heat pipe efficiency is presented.
Pressure Controlled Heat Pipe Based Heat Exchanger for Dynamic Process Heat Extraction Control for Nuclear Power Plants
Authors: Hota Sai Kiran , Lutz Andrew , Rokkam Srujan , Tarau Calin 
Published: September 2024

Abstract
Nuclear power plants (NPP) are clean energy sources typically designed for baseload power operations but usually incapable of dynamic operations. One method to improve the NPP flexibility is dynamically extracting process heat. Conventional heat exchangers for heat extraction may be less suitable due to potential for tritium migration into the process stream. This study discusses a novel heat exchanger (HX) based on Pressure Controlled Heat Pipe (PCHPs) that ensures faster responses to varying heat load and mitigates challenges typical to conventional heat exchangers. Thermosiphons were used here as a PCHP. To demonstrate this technology, a prototype PCHP-HX was fabricated with stainless steel 304. The main stream heat from the NPP and the process heat were divided into two shells and connected by a bundle of PCHP tubes. The dynamic response to heat load switching was achieved by introducing Non-Condensable Gas (NCG) into the thermosiphons. Within the given operating conditions, the PCHP-HX demonstrated up to 6.5 kW of heat transfer. When NCG was added, system shutdown, was achieved within 7 minutes. When NCG was evacuated, complete system start-up was achieved within 4 minutes with 100% heat delivery.
Numerical Study on Effect of Aspect Ratio in Natural Convection With Nanofluids in Vertical Channels Asymmetrically Heated
Authors: Buonomo Bernardo , Manca Oronzio , Nardini Sergio , Sarli Gianluca 
Published: September 2024

Abstract
A numerical investigation on two-dimensional steady-state natural convection in a vertical channel asymmetrically heated at uniform heat flux with water and alumina (Al2O3) nanofluids is performed to evaluate the effect of the aspect ratio on thermal and fluid dynamic behaviors. The interest in this problem is related to several technological applications such as nuclear systems, bio-nanofluids and solar systems. Nanoparticles have a diameter of 30 nm and four different values of volumetric concentration (0%, 2%, 4% and 6%). The computational domain is made up of the principal channel and two lateral extended reservoirs at the open sections, which simulate the external ambient. The channel is bounded by two vertical parallel plates, one of them heated with a constant heat flux. The two-dimensional governing equations are numerically solved with finite volume method by means of the ANSYS-Fluent code. Three different values of the aspect ratio of the channel (5, 10 and 20) are considered. Different values of wall heat flux are considered to cover a range of Rayleigh numbers between 7.0 and 106. Results are presented in terms of velocity, temperature, pressure and stream function. Finally, correlations for the prediction of the average Nusselt number along the heated plate are presented.
Metagenomic and genomic sequences from a nitrate-reducing benzene-degrading enrichment culture
Authors: Xiao Johnny Z. , Nesbø Camilla L. , Molenda Olivia , Toth Courtney R. A. , Edwards Elizabeth A. 
Published: September 2024

ABSTRACT

Metagenome-assembled genomes (MAGs) were recovered from metagenomic assemblies from a nitrate-reducing benzene-degrading enrichment culture. Ten MAGs of high quality or functional interest to benzene degradation are reported, seven of which are single contig genomes.
Characterization of larval gut microbiota of two endoparasitoid wasps associated with their common host,
Plutella xylostella
(Linnaeus) (Lepidoptera: Plutellidae)
Authors: Hu Na-na , Wang Zi-qi , Zhang Si-jie , Wang Zhi-zhi , Chen Xue-xin 
Published: September 2024

ABSTRACT

Insect gut microbes play important roles in digestion, metabolism, development, and environmental adaptation. Parasitoid wasps are one of the most important biological control agents in pest control, while the gut microbial species compositions and the associated functions have been poorly investigated. Two endoparasitoid wasps,
Cotesia vestalis
and
Diadromus collaris
, parasitize the larval stage and pupal stage of the diamondback moth,
Plutella xylostella
, respectively. Using whole-genome shotgun metagenomic sequencing, we characterized the gut microbial composition, diversity, and potential functional roles associated with the two parasitoid wasp larvae. The results reveal that Proteobacteria and Firmicutes are the dominant phyla in the gut of
C. vestalis
and
D. collaris
larvae, with
Rhizobium
and
Enterococcus
being the dominant genera. The putative microbial functions associated with the two parasitoid wasps might play a virtual role in assisting in consuming the host’s nutritional composition. The enriched CAZymes family genes are primarily involved in the degradation and synthesis of chitin. Despite the richness of microbial species and communities, the microbes species and the microbial community structure exhibit significant similarity between the two parasitoid wasps and between the parasitoid wasp and the host
P. xylostella
. Notably, the prevalence of the genus
Enterococcus
shared among them suggests a possible link of gut microbes between the host and their associated parasitoids. Our study offers insights into the gut microbe-based interactions between the host and parasitoid wasps for the first time, potentially paving the way for the development of an ecologically friendly biocontrol strategy against the pest
P. xylostella
.

IMPORTANCE

Endoparasitoid wasps spend the majority of their lifespan within their host and heavily rely on the host’s nutrition for survival. There is limited understanding regarding the composition and physiological impacts of gut microbial communities in parasitoid wasps, particularly during the larval stage, which is directly linked to the host. Based on a thorough characterization of the gut microbe and comprehensive comparative analysis, we found the microbial species of the larval parasitoid wasp
Cotesia vestalis
and the pupal parasitoid wasp
Diadromus collaris
were similar, sharing 159 genera and 277 species, as were the microbial community structure. Certain of the dominant microbial strains of the two parasitoid wasps were similar to that of their host
Plutella xylostella
larvae, revealing host insect may affect the microbial community of the parasitoid wasps. The putative microbial functions associated with the parasitoid wasp larvae play an important role in dietary consumption.
The aqueous humour dynamics in primary angle closure disease: a computational study
Authors: Fu Lin , Liu Xinyi , Zhang Longqian , Lou Jiangtao , Zheng Xiaobo , Wang Xiaojue , Lin Haishuang , Guo Liang , Wang Kezhao , Wang Yan , Kan Min , Liang Yuanbo 
Published: September 2024

PurposeTo create a computational fluid dynamics (CFD) model of ocular anterior segment for primary angle closure diseases (PACD) and assess the aqueous humour (AH) dynamics in different angle closure ranges (ACRs).MethodsThe ocular anterior segment geometry was obtained from an optical coherence tomography image by SOLIDWORKS. Three different angle opening distance at 750 µm from the scleral spur (AOD750) values were established to mimic three widths of anterior chamber angle. The AH dynamics were modelled using the Navier-Stokes equation. The 3D CFD model of the ocular anterior segment was created in COMSOL Multiphysics. The major outcome was the maximum flow velocity (MFV) and pressure in the ocular anterior segment. An in vitro simulation model was used to validate the computational results of the pressure and ACRs.ResultsThe MFV and pressure both showed a non-linear association with ACR in the CFD models of PACD. The MFV and pressure started to elevate when ACR was larger than 180°, and increased dramatically when the ACR was larger than 270°. The in vitro experiment of the pressure changes was consistent with the CFD model. No significant differences of the MFV and pressure among the three AOD750 models.ConclusionsThe association among the ACR, MFV and pressure is an ascending curve in PACD, and ACR of 180° and 270° are two critical turning points. Our results are consistent with clinical phenomenon and may be used to provide better guidances for the clinical management of PACD in different stages.
Enhanced enrichment of rare earth elements during pedogenesis under subtropical climate
Authors: Wu Jian , Gong Zheng , Jin Qian , Zhang Maochao , Huang Chengmin 
Published: September 2024

Rare earth elements (REEs) are crucial strategic resources, and weathering-crust rare earth deposits are one of the primary sources. To systematically understand the geochemical behaviour (e.g. enrichment and leaching) of REEs in soils (or weathering crusts) formed from diverse parent rocks under varying climatic conditions, 171 soil profiles (weathering crusts) developed from three main types of parent rocks (granite, basalt and carbonate rock) worldwide were studied. Granite shows the highest concentration of REEs at 264 [interquartile range (IQR): 278] ppm with 171 (IQR: 151) ppm and 11.9 (IQR: 36.4) ppm in basalt and carbonate rock, respectively (median test:
p
< 0.05). The median REE values within the soil profiles were significantly different (median test:
p
< 0.05), with the concentration of 318 (IQR: 441) ppm, 267 (IQR: 217) ppm and 207 (IQR: 417) ppm in soils derived from granite, carbonate rock and basalt, respectively. Principal component analysis and linear mixed-effects models revealed that soils developed from granite and basalt inherit the mineral characteristics of their parent rocks, with REE concentrations primarily influenced by the REE content of the parent rock and climate. In contrast, the REE concentrations in soils developed from carbonate rocks are predominantly controlled by climate. Linear mixed-effects models and correlation analysis indicate that the enrichment of REEs (
Q
REE
) shows a trend of initially increasing and then decreasing with rising temperature and precipitation, due to variations in the host clay minerals. The greatest enrichment occurs in the subtropical region (mean annual temperature = 15–23°C; mean annual precipitation = 1000–2000 mm); weathering-crust type REE deposits are primarily found in the subtropics.
ToMoBrush: Exploring Dental Health Sensing Using a Sonic Toothbrush
Authors: Yuan Kuang , Ibrahim Mohamed , Song Yiwen , Deng Guoxiang , Nerone Robert A. , Vijayan Suvendra , Gadre Akshay , Kumar Swarun 
Published: September 2024

Early detection of dental disease is crucial to prevent adverse outcomes. Today, dental X-rays are currently the most accurate gold standard for dental disease detection. Unfortunately, regular X-ray exam is still a privilege for billions of people around the world. In this paper, we ask: "Can we develop a low-cost sensing system that enables dental self-examination in the comfort of one's home?"
This paper presents ToMoBrush, a dental health sensing system that explores using off-the-shelf sonic toothbrushes for dental condition detection. Our solution leverages the fact that a sonic toothbrush produces rich acoustic signals when in contact with teeth, which contain important information about each tooth's status. ToMoBrush extracts tooth resonance signatures from the acoustic signals to characterize the dental condition of each tooth. We further develop a data-driven signal processing pipeline to detect and discriminate different dental conditions. We evaluate ToMoBrush on 19 participants and dental-standard models for detecting common dental problems including caries, calculus, and food impaction, achieving a detection ROC-AUC of 0.90, 0.83, and 0.88 respectively. Interviews with dental experts further validate ToMoBrush's potential in enhancing at-home dental healthcare.