bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inventory and supply chain management with auto‐delivery subscription
Authors: Chen Shi , Lei Junfei , Moinzadeh Kamran 
Published: September 2023

Auto‐delivery is a subscription model widely employed in supply chains, whereby a supplier delivers products to a buyer (or multiple buyers) according to the buyer's choice of a constant shipping quantity to be delivered at prescheduled dates. The buyer enjoys a discount for the auto‐delivery orders and other benefits, including free subscription and cancellation. Because these benefits seem to all accrue to the buyer at the supplier's expense, the rationale for the supplier's decision to offer auto‐delivery and its impact on the profitability of both parties is an intriguing concern. We first develop a model that consists of a supplier and a single buyer, whereby the supplier offers a discount for the auto‐delivery orders and the buyer chooses the auto‐delivery quantity with the flexibility of cancelling the subscription. We derive the two parties' operating characteristics of their inventory systems and examine their optimal decisions. Our analysis shows that buyers benefit from the auto‐delivery discount; the supplier benefits from the demand‐expansion effect and the inventory‐reduction effect, a potential discount on the cost of the auto‐delivery units; and the supply chain benefits from reducing the bullwhip effect. We also find that channel coordination requires the supplier to pass the inventory‐related savings to the buyer through the auto‐delivery discount, which depends on the ratio of the two parties' holding cost rates. Moreover, we examine a model extension whereby the supplier announces a discount that is available for multiple buyers, we show that the supplier's optimal auto‐delivery discount under exponential demand can be determined based on the aggregate‐level demand information from all buyers. Finally, we discuss another model extension whereby the lead time of the supplier's recurring orders for auto‐delivery is longer than that of the regular orders and present a full analysis of the case when the lead time differential is one time period.
Children's satisfaction with a comprehensive study program—Results from the LIFE Child cohort study
Authors: Bier Elisabeth , Vogel Mandy , Grafe Nico , Jurkutat Anne , Ludwig Juliane , Wagner Oleg , Meigen Christof , Kiess Wieland , Poulain Tanja 
Published: September 2023

AbstractBackgroundResearch participants' satisfaction is a topic of great interest, especially in the context of longitudinal studies. Evaluation also represents an important component of quality management in the health care system. Adult studies found that personal characteristics, e.g., age, sex, ethnicity, and SES, can influence satisfaction with health care or study participation. Studies on paediatric participants are sparse.ObjectivesTo examine how children rated the study day of a cohort study and how these ratings were associated with sociodemographic and socioeconomic characteristics and retention in the context of a large cohort study.MethodsAnalyses were performed on 4‐ to 17‐year‐old participants of the German longitudinal cohort study LIFE Child (n = 2033). To assess the associations between overall satisfaction (high versus low/middle) and age, sex, body‐mass index, socioecomonic status, and participation in a follow‐up visit, we applied logistic mixed‐effects models.ResultsParticipants' overall satisfaction with the LIFE Child study day was high (“very good”: 67.8%). Overall satisfaction was higher in 7–9 years olds (odds ratio [OR] 2.00, 95% confidence interval [CI 1.51, 2.66) and 10–12 years olds (OR 1.51, 95% CI 1.16, 1.98) than in 4–6 years olds and 13–17 years olds. Children with obesity were less likely to participate in a follow‐up visit (OR 0.56, 95% CI 0.39, 0.78). Children reporting high overall satisfaction at the first study visit completed a follow‐up visit more frequently (OR 1.32, 95% CI 1.05,1.67).ConclusionsA high level of satisfaction increased participants' attendance at a follow‐up visit. Our results might be helpful for adapting the study program to the participants' needs in order to maximise retention and minimise attrition rates.
Metabolite profiling and screening of callus browning‐related genes in lotus (Nelumbo nucifera)
Authors: Deng Xianbao , Huang Jinghao , Zhang Minghua , Wei Xue , Song Heyun , Wang Yuxin , Xin Jia , Sun Heng , Liu Juan , Yang Dong , Li Jing , Yang Mei 
Published: September 2023

AbstractCallus browning is a major drawback to lotus callus proliferation and regeneration. However, the underlying mechanism of its formation remains largely unknown. Herein, we aimed to explore the metabolic and molecular basis of lotus callus browning by combining histological staining, high‐throughput metabolomics, and transcriptomic assays for lotus callus at three browning stages. Histological stained brown callus cross sections displayed severe cell death symptoms, accompanied by an obvious accumulation of polyphenols and lignified materials. Widely targeted metabolomics revealed extensively decreased accumulation of most detected flavonoids and benzylisoquinoline alkaloids (BIAs), as well as a few phenolic acids, amino acids and their derivatives in callus with browning symptoms. Conversely, the contents of most detected tannins were significantly increased. Subsequent comparative transcriptomics identified a set of differentially expressed genes (DEGs) associated with the biosynthesis and regulation of flavonoids and BIAs in lotus. Notably, callus browning was coupled with significantly up‐regulated expression of two polyphenol oxidase (PPO) and 17 peroxidase (POD) encoding genes, while the expression of ethylene associated genes remained at marginal levels. These results suggest that lotus callus browning is primarily controlled at the level of metabolism, wherein the oxidation of flavonoids and BIAs is crucially decisive.
The effect of likelihood and impact information on public response to severe weather warnings
Authors: Taylor Andrea , Summers Barbara , Domingos Samuel , Garrett Natalie , Yeomans Sophie 
Published: September 2023

AbstractMeteorological services are increasingly moving away from issuing weather warnings based on the exceedance of meteorological thresholds (e.g., windspeed), toward risk‐based (or “impact‐based”) approaches. The UK Met Office's National Severe Weather Warning Service has been a pioneer of this approach, issuing yellow, amber, and red warnings based on an integrated evaluation of information about the likelihood of occurrence and potential impact severity. However, although this approach is inherently probabilistic, probabilistic information does not currently accompany public weather warning communications. In this study, we explored whether providing information about the likelihood and impact severity of forecast weather affected subjective judgments of likelihood, severity, concern, trust in forecast, and intention to take protective action. In a mixed‐factorial online experiment, 550 UK residents from 2 regions with different weather profiles were randomly assigned to 1 of 3 Warning Format conditions (Color‐only, Text, Risk Matrix) and presented with 3 warnings: high‐probability/moderate‐impact (amber HPMI); low‐probability/high‐impact (amber); high‐probability/high‐impact (red). Amongst those presented with information about probability and impact severity, red high‐likelihood/high‐impact warnings elicited the strongest ratings on all dependent variables, followed by amber HPMI warnings. Amber low‐likelihood/high‐impact warnings elicited the lowest perceived likelihood, severity, concern, trust, and intention to take protective responses. Taken together, this indicates that UK residents are sensitive to probabilistic information for amber warnings, and that communicating that severe events are unlikely to occur reduces perceived risk, trust in the warning, and behavioral intention, even though potential impacts could be severe. We discuss the practical implications of this for weather warning communication.
Effectiveness of a native vein arteriovenous fistula tracking system
Authors: Meng Lingyan , Ng Jun Jie , Choong Andrew Mark Tze Liang , Dharmaraj Rajesh Babu , Menon Raj , Wong Julian Chi Leung , Ching Susan , Wong Yen Feng , Kong Jaqueline , Ho Pei 
Published: September 2023

AbstractObjectiveThis study aims to evaluate the effectiveness of a tracking program on the functional maturation rate of arteriovenous fistula (AVF).MethodsTwo major clinical outcomes (commencement of cannulation and functional maturation) of created AVFs were compared between two cohorts. (i) Cohort 1: historical cohort; (ii) Cohort 2: AVFs created after implementation of the tracking project. Multivariable Cox regression models were used to assess the association between cohort allocation and the two major clinical outcomes.ResultsData of 114 and 141 patients were analyzed respectively from Cohorts 1 (historical data) and 2 (with AVF tracking). After adjustment of covariates in the multivariable analysis, the AVFs created in Cohort 2 were more likely to be cannulated earlier (adjusted HR: 2.82; 95% CI: 1.97–4.05; p < 0.001), compared to those in Cohort 1. Similarly, the AVFs of Cohort 2 patients had significantly higher probability of functional maturation (adjusted HR: 1.81; 95% CI: 1.31–2.48; p < 0.001) than fistulas in Cohort 1. Cannulation was commenced for half of the AVFs by 4.1 months post‐creation in the historical cohort (Cohort 1), whereas in the post‐tracking cohort, 50% of the AVFs were cannulated by 2.3 months after creation (p < 0.001). It took 5.5 and 4.3 months for 50% of the AVFs created in Cohort 1 and Cohort 2 patients to achieve catheter‐free functional maturation, respectively (p = 0.06).ConclusionAn AVF tracking program with maturation target for the access surgeons, together with a standardized tracking, feedback, and clinical strategy adjustment system is able to improve the AVF functional maturation rate.
First report of an outbreak of “Q” fever IN an abattoir from Argentina
Authors: Cardillo Natalia Marina , Bastos Reginaldo , García Araceli , Pérez Rosendo , García Ezequiel , Lloveras Susana , Suarez Carlos 
Published: September 2023

AbstractIn late October 2021, one of the veterinarians and the occupational physician of a bovine and swine abattoir from Entre Ríos Province, Argentina were alerted about workers with atypical pneumonia symptoms, raising suspicious of a possible Q fever outbreak. An outbreak epidemiological investigation was carried out. Analysis was based on the description of the study population, according to gender, age, symptoms, and position within the abattoir, as well as on outbreak epidemic curve and its probable origin. Cases of Q fever in the workers were confirmed by serology. Measurements of the association between the evaluated variables and the risk of exposure were investigated and calculated as attack rates. The outbreak occurred between October and November 2021, symptomatically affecting 11 workers, out of a total exposed population of 49 individuals. The index case was a 33‐year‐old male who started with symptoms on 27 October 2021, and the outbreak extended for at least 17 days. Workers in the clean zone of the slaughter floor had a 4.68 times higher risk of contracting Q fever than people located in other areas. Importantly, two pregnant cows were slaughtered a few days before the outbreak began, which could have been the origin of the outbreak. The present study demonstrates the urgent need to consider Q fever when diagnosing abortive diseases of ruminants in Argentina, as well as in zoonotic disease epidemiological surveillance to inform all actors of the health system.
Pregnant nurses’ experiences of working shifts: a qualitative systematic review
Authors: Ooshige Narumi , Matsunaka Eriko , Ueki Shingo , Takuma Sayuka 
Published: September 2023

Objective:
The objective of this systematic review was to synthesize the experiences of nurses who work shifts during pregnancy.

Introduction:
Pregnancy is a process of rapid physical change that requires adaptation both mentally and physically. Many women continue to work during pregnancy, including in the nursing profession, but there are various risks associated with working while pregnant.

Inclusion criteria:
This review included studies that focused on the experiences of pregnant registered nurses, regardless of their level of qualification, working shifts in any workplace, including hospitals, nursing home facilities, or clinics, in any country. Nurses not involved in direct care (eg, advanced practice nurses, administrators, educators) were excluded.

Methods:
The review followed the JBI methodology for qualitative systematic reviews. Published and gray literature were searched for via CINAHL (EBSCOhost), MEDLINE (EBSCOhost), PsycINFO (EBSCOhost), and Igaku Chuo Zasshi (Japan Medical Abstracts Society). No language restrictions were imposed, and the date limit was set for 2013 to 2021. Two independent reviewers performed data collection, extraction, critical appraisal, and analysis. Unequivocal and credible findings were used to develop categories, which were then synthesized to provide a set of comprehensive findings that were graded according to ConQual.

Results:
Five qualitative studies were included (2 from the USA, 2 from Japan, and 1 from Korea), from which 23 findings with narrative illustrations were extracted. Of these findings, 22 were assessed as unequivocal and 1 as credible. The studies were low to moderate quality based on the JBI critical appraisal checklist for qualitative research. All studies used qualitative methodologies, including phenomenology, qualitative description, and the grounded theory approach. Results were integrated into 8 categories and 3 synthesized findings. The first synthesized finding was that nurses struggle with the physical burden of pregnancy and work environments that threaten continued pregnancy. The second was that nurses achieve work–pregnancy compatibility by disclosing their pregnancy and obtaining support. The third was that development as a nurse results from continuing to work during pregnancy.

Conclusions:
Pregnant nurses face a harsh work environment; the support they receive after disclosing their pregnancy allows them to balance work and pregnancy; and they feel that they grow as professionals by continuing to work even if they are pregnant. More research is needed to inform support systems for pregnant nurses.

Review registration:
PROSPERO CRD42022309674

Supplemental digital content:
A Japanese-language version of the abstract of this review is available: http://links.lww.com/SRX/A31
Opportunities and Challenges for Co-Firing Ammonia in Coal-Fired Boilers
Authors: Rosinski Stan , Coleman Kent 
Published: September 2023

Abstract
Ammonia is being evaluated worldwide as an alternative energy carrier for hydrogen in future low-carbon energy scenarios. Ammonia is presently the second most produced chemical in the world. This global experience with ammonia has resulted in development of mature technologies for its production, handling, transport, and storage. The global supply chain already exists, and distribution infrastructure is well established locally in many countries. Additionally, safety regulations concerning the handling, transport, and storage of ammonia are well established. Ammonia could form the basis of an integrated energy storage and distribution decarbonization solution for multiple industries beyond its historic use in the production of fertilizers and other chemicals.
EPRI is evaluating the opportunities for coal/ammonia co-firing to understand the potential benefits in avoiding premature shutdown of valuable coal power generation assets and the technical challenges that may occur regarding degradation of boiler components (e.g., waterwalls, headers, piping) due to the changing combustion profile from ammonia co-firing. This paper summarizes ongoing research in ammonia co-firing with coal and discusses future applications.
Trigeneration System Replacement for a University Central Plant Boiler Facility
Authors: Mitri Frederick B. , Mukai Emily , Ponce Genesis , Anderson Kevin R. 
Published: September 2023

Abstract
This paper explores a replacement option for the heating boilers at the California State Polytechnic University, Pomona. The retrofit proposed uses solar thermal energy, thermal energy storage, and a combined cooling, heating, and power (CCHP) cycle with a focus on efficiency and reduced carbon emissions. The primary source of high-grade input heat energy for the Rankine cycle is a Concentrated Solar Power (CSP) farm. During times of high heating demand, steam is bled off to drive a lithium bromide (LiBr/H2O) cycle to produce auxiliary on-demand part load cooling and heating, with Coefficient of Performance (COP) values of COP = 1.5 (heating), and COP = 0.75 (cooling). The facility will produce up to 1.565 MW of electricity, 813.54 tons (2862 kW) of heating, and 220 tons (774 kW) of cooling. This system will utilize an 11-acre CSP facility to be located on the site of the former dorm units at the university. The CSP has a capacity factor of 34% and produces 4.260 MW of thermal energy which will be used to drive the reheat Rankine cycle. Equipment selection and specification using Commercial-off-the-shelf (COTS) components are cited herein. Economic analysis shows the Levelized Cost of Energy (LCOE) to be 8.10 ¢/kWh for the proposed trigeneration powerplant.
Investigation of Melting of PCM Dispersed With Nanoparticles in a Square Enclosure Integrated With Fins Subjected to a Uniform Magnetic Field: A Numerical Study
Authors: Sharma Akhalesh , Saxena Vivek , Joshi Jaykumar , Sahu Santosh K. 
Published: September 2023

Abstract
In this study, we examine the melting behavior of paraffin wax mixed with Cu0 nanoparticles within a square cavity that incorporates a triangular double fin. The investigation focuses on different nanoparticle concentrations (1% and 2%) and considers the melting process under constrained conditions. Two different arrangements of double fin are analyzed based on melting performance keeping the total area of fin constant. Arrangement with lower fin having longer length and shorter base has better melting performance. Melting performance increases with the addition of nanoparticles. The addition of 1% nanoparticles results in a notable enhancement in the melt rate. However, when the volume fraction of nanoparticles is further increased to 2%, the increase in the melt fraction becomes negligible in comparison to the 1% nanoparticle concentration. This is due to the increase in effective viscosity which negatively impacts the occurrence of natural convection, resulting in a less notable increase in the melt rate. Compared to single nanoparticles hybrid nanoparticles (Al2O3+CuO) perform better in terms of melting. Impact of uniform magnetic field on the melting of NePCM is examined by introducing the Lorentz force term into the momentum equation. Magnetic field is found to decrease the phenomenon of natural convection and, hence melting rate. However, the influence of magnetic field is found to be insignificant in the initial phases of the melting process. due to weak natural convection. The present work could be used for the optimization of LHTES unit integrated with fins and subjected to magnetic field in industries.
A Holistic Design Approach for a Micro Wind Turbine Powertrain
Authors: Claudio-Rodriguez Idalina L. , Santiago-Vargas Alex D. , Espinoza Albert A. , Aponte-Roa Diego A. 
Published: September 2023

Abstract
This paper proposes a holistic design methodology for a Micro Wind Turbine (MWT) powertrain. The design process integrates the design of an Axial-Flux Permanent Magnet (AFPM) Generator into the aerodynamic design methodology based on Blade Element Momentum (BEM) Theory. This approach shares aerodynamic blade inputs as parameters for the electromagnetic generator design. Tackling this as an integrated multidisciplinary design problem allows early identification of the limitations of the electrical and mechanical design domains. Early identification allows a more effective tuning and refinement of the design parameters. QBlade was used to simulate the performance of the blade design. A MATLAB script simulates the AFPM generator geometry on FEMM to determine the peak magnetic flux at the stator. The power curve simulation in MATLAB used the design parameters and a Thevenin equivalent circuit model to estimate the design performance.
A case study following the proposed methodology for a 20cm rotor MWT is presented to benchmark the model accuracy. Preliminary results show that the AFPM model matched the generator’s simulated power curve with 85% accuracy. The micro wind turbine prototype reached 10.5 W of nominal power at a wind speed of 15 m/s during testing at the 2022 Collegiate Wind Competition wind tunnel.
Experimental Analysis of an Elastohydrodynamic Seal for Supercritical Carbon Dioxide Turbomachinery
Authors: Henry Jonah , Xu Hanping , Hassan Mohammad Fuad , Cesmeci Sevki , Islam Mohammad Towhidul , Liu Shuangbiao , Tang Jing 
Published: September 2023

Abstract
To unlock the potential of sCO2 power cycles, technology readiness must be demonstrated on the scale of 10–600 MWe and at the sCO2 temperatures and pressures of 350–700 °C and 20–35 MPa for nuclear industries. The lack of suitable shaft seals in sCO2 operating conditions is one of the main challenges at the component level. So far, conventional seals all suffer from the incapability of handling sCO2 pressure and temperature in one way or another. To this end, we propose an elastohydrodynamic (EHD) high-pressure, high-temperature, and scalable shaft seal for sCO2 cycles. The unique mechanism of such an EHD seal provides a self-regulated constriction effect to restrict the flow without substantial material contact, thereby minimizing leakage and wear. In this study, we conducted an experimental study to prove the EHD seal concept on a 2″ static shaft. The shaft was made from stainless steel, whereas the test seal was made from PEEK. The experiments were performed for 12.7 μm initial clearance, and the operating pressure was increased up to 5 MPa. It was observed that the EHD seal throttled the leakage rate successfully. The leakage rate increased to a maximum of 2 g/s at around 4MPa before it started to decay to 1.75 g/s at the maximum operating pressure of 5 MPa. This unique behavior of the EHD seal could become advantageous for sCO2 turbomachinery, where lower leakage rates are required at high pressure and temperature values.
Evaluating Critical Weather Parameters Using Machine Learning Models
Authors: Najian Maede , Goudarzi Navid 
Published: September 2023

Abstract
Wind speed and temperature forecasting accurately for an urban area are two critical elements to mitigate cost and energy in engineering calculations. Recently, researchers have employed a combination of mesoscale Weather Research and Forecasting (WRF) and microscale models of Computational Fluid Dynamics (CFD) to simulate wind flow in urban areas. Employing machine learning algorithms is also introduced as another promising alternative/complementary tool. In this work, a WRF model is developed to calculate wind speed at 10m above the ground in two different residential regions with different upwind roughness in Singapore. The results are validated by the literature. Using the validated model, Recurrent Neural Network (RNN) models are developed to compare with numerical weather models and evaluate their performance in prediction. Prediction results’ accuracy is evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE), and obtained errors below 0.19 and 5%, respectively. The models can provide high-resolution data as boundary conditions for CFD modeling at the local/building scale, which leads to understanding the more realistic behavior of the flow field in a built environment. In addition, they support an extended range of urban microclimate analysis, renewable energy integration practices, and smart city planning efforts.