bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Feasibility Evaluation of a Family‐Centred Neonatal End‐of‐Life Care Protocol
Authors: Kim Eun Sook , Kim Sue , Kim Sanghee , Kim Sujeong , Ahn So Yoon , Lee Hyejung 
Published: September 2024

ABSTRACTAimTo develop a family‐centred end‐of‐life care protocol and evaluate its feasibility.DesignThe draft protocol was created by integrating literature review results and existing protocols and interviewing bereaved parents. A Delphi study and an experts' review were conducted to refine the draft, followed by feasibility testing with neonatal intensive care unit nurses.ResultsA 71‐item protocol based on an integrated end‐of‐life care model and the family‐centred care concept was developed, comprising three sections: principal guidelines, communication during end‐of‐life care and five substeps (4, 17 and 71 items, respectively) according to changes in an infant's condition. The feasibility was confirmed by an increase in competency and a positive attitude towards infant end‐of‐life care participants who completed the protocol education.ConclusionThe protocol was feasible and improved nurses' competency and attitude in providing end‐of‐life care for infants and parents requiring support due to the loss of their infants. It can positively impact the well‐being of parents who have experienced the loss of their infants in neonatal intensive care units and enhance family‐centred care within the units.Implications for the Profession and/or Patient CareApplication of the family‐cantered end‐of‐life care could support infants' dying process and improve bereaved parents' quality of life in neonatal intensive care units.ImpactThis study increased neonatal end‐of‐life nursing needs' awareness among nurses and parents during bereavement. It offered preliminary evidence regarding the feasibility of a neonatal end‐of‐life care protocol developed in this study.Reporting MethodAGREE Reporting Checklist 2016.Patient or Public ContributionWe interviewed bereaved parents to develop the draft protocol and involved neonatal care experts for the Delphi study and neonatal nurses (who would use the protocol) as feasibility test subjects.Trial RegistrationThis was a doctoral dissertation and did not require protocol registration as the feasibility test involved a single neonatal intensive care unit.
The role of task relevance in saccadic responses to facial expressions
Authors: Mirabella Giovanni , Grassi Michele , Bernardis Paolo 
Published: September 2024

AbstractRecent research on healthy individuals suggests that the valence of emotional stimuli influences behavioral reactions only when relevant to ongoing tasks, as they impact reaching arm movements and gait only when the emotional content cued the responses. However, it has been suggested that emotional expressions elicit automatic gaze shifting, indicating that oculomotor behavior might differ from that of the upper and lower limbs. To investigate, 40 participants underwent two Go/No‐go tasks, an emotion discrimination task (EDT) and a gender discrimination task (GDT). In the EDT, participants had to perform a saccade to a peripheral target upon the presentation of angry or happy faces and refrain from moving with neutral ones. In the GDT, the same images were shown, but participants responded based on the posers’ gender. Participants displayed two behavioral strategies: a single saccade to the target (92.7%) or two saccades (7.3%), with the first directed at a task‐salient feature, that is, the mouth in the EDT and the nose‐eyes regions in the GDT. In both cases, the valence of facial expression impacted the saccades only when relevant to the response. Such evidence indicates the same principles govern the interplay between emotional stimuli and motor reactions despite the effectors employed.
The limits of experience: Dogmatism and moral epistemology
Authors: Kriegel Uriah 
Published: September 2024

AbstractLet “phenomenal dogmatism” be the thesis that some experiences provide some beliefs with immediate prima facie justification, and do so purely in virtue of their phenomenal character. A basic question‐mark looms over phenomenal dogmatism: Why should the fact that a person is visited by some phenomenal feel suggest the likely truth of a belief? In this paper, I press this challenge, arguing that perceptually justified beliefs are justified not purely by perceptual experiences’ phenomenology, but also because we have justified second‐order background beliefs to the effect that the occurrence of certain perceptual experiences is indicative of the likely truth of certain corresponding beliefs. To bring this out, I contrast “perceptual dogmatism” with “moral dogmatism”: the thesis that some emotional experiences provide some moral beliefs with immediate prima facie justification, and do so purely in virtue of their phenomenal character. I argue that moral dogmatism is much less antecedently appealing, precisely because the counterpart second‐order beliefs here are much less plausible.
Building an evidence engine to promote more responsive government
Authors: Munteanu Ioana , Newcomer Kathryn E. , Best Clifton 
Published: September 2024

AbstractPublic agencies require timely and reliable evidence to adapt operations and strategies quickly to effectively tackle unanticipated challenges in service to the American people. Federal agencies are generally not well equipped to take full advantage of the resources they own to effectively align with evidence needs. Guidance has been issued to fill this gap, yet federal agencies have not fully adopted the use of evidence, especially performance data, in decision‐making. Moreover, both law and academia provide little guidance on how agencies can connect the demand and supply of knowledge. This paper discusses how the Federal Acquisition Service (FAS) of the General Services Administration (GSA) has developed and sustained a framework for collecting and transforming data into reliable evidence to inform decision‐making, that is, created an evidence engine. Federal agencies can learn from the FAS approach to improve their evidence‐building activities to achieve economies of scale, reduce costs, and increase evidence‐informed responsiveness to ever‐changing needs.
Public Healthcare Spending, Business Dynamism, and Wage Inequality: Evidence from Developed and Developing Economies
Authors: Chao Chi‐Chur , Trinh Cong Tam , Nguyen Xuan 
Published: September 2024

AbstractThis paper examines the effects of public healthcare spending on wage inequality and social welfare in an economy with rural and urban regions. The objectives are twofold. First, we introduce a simple theoretical framework that captures the link between public healthcare spending and firms' output choice and subsequent wage provisions. We demonstrate that in the short run, a rise in public healthcare services can increase urban output and lower urban unemployment and raise both skilled and unskilled wage rates. In the long run, firm entry produces a business‐dynamism effect that enhances the rate of return on capital, reduces the unskilled wage rate and intensifies wage inequality. Second, we empirically test our theoretical predictions using data from 112 economies in the period 2006–2018. We find evidence supporting our theoretical findings concerning the effects of public healthcare on wage outcomes, especially in the long run. Results are highly consistent across the two groups: advanced economies (mainly OECD/European economies), and emerging and developing economies based on alternative measures for wage inequality, including the GINI coefficient and top income share. The paper provides useful information for the public healthcare policy.
Multi‐Criteria Decision Analysis‐Based Solutions for the Installation of Photovoltaic (PV) Solar Power Plants in an Energy Deficit State of India: An Effort Toward SDG‐7 (Affordable and Sustainable Energy)
Authors: Ghosh Debanu , Sinha Suman , Singh Tarun Pratap , Gagnon Alexandre S. , Singh Dharmaveer 
Published: September 2024

ABSTRACTSustainable Development Goal‐7 (SDG‐7) of the United Nations promotes the use of renewable and affordable energy. Solar energy holds significant promise as an effective and affordable renewable source in tropical countries. GIS‐based Multi‐Criteria Decision Analysis (MCDA) approach has been applied to evaluate land suitability for installing ground‐mounted and grid‐connected solar photovoltaic power plants in Purulia district of West Bengal (India) to satisfy the growing demand of energy in an eco‐friendly manner. The study reveals that variation in Global Horizontal Irradiance (GHI) is the most relevant parameter for installing solar PV power plants in the district among the 13 physical parameters, followed by the aspect, slope, and proximity to the grid. The site‐suitable map created using the weights of these factors has revealed that about 33.4% of the district's total land area is ideal for installing solar PV power plants, with most of these areas being in the western and central regions.
ПРИМЕНЕНИЕ МЕТОДА БАРКОДИРОВАНИЯ ДНК ДЛЯ ИДЕНТИФИКАЦИИ И ТАКСОНОМИЧЕСКОГО АНАЛИЗА СЕМЕЙСТВА ЯСНОТКОВЫЕ (LAMIACEAE)
Authors: Ғұбайдуллин Н.Н. , Жұмабай Н.Б. , Манабаева Ш.А. 
Published: September 2024

Семейство Яснотковые, известное своими ароматическими растениями, насчитывает 237 родов и 7756 видов, из которых 1056 используются в медицине, что составляет 13,7%. Лаванда, мята, базилик и тимьян относятся к числу хорошо известных видов, имеющих значение в медицине и кулинарии. Маркеры, основанные на фенотипических признаках, зачастую не позволяют более подробно изучить видовые специфики растений, тогда как молекулярные методы позволяют более точно идентифицировать и классифицировать растения на уровне ДНК.
Баркодирование ДНК, основанное на стандартизированных последовательностях ДНК, является универсальным методом идентификации видов. В данном исследовании мы применили этот метод для анализа геномной ДНК 14 видов семейства Яснотковых, произрастающих на территории Карагандинской области. Геномная ДНК была экстрагирована из гербарных образцов с помощью стандартного метода. Частичная последовательность пластидного гена большой субъединицы гена рибулозо-бисфосфаткарбоксилазы (rbcL) была использована в качестве молекулярного маркера для ДНК идентификации видов Яснотковых. Геномный локус был амплифицирован праймером rbcL_F (5’- ATGTCACCAACAAACAGAGACTAAAGC-3) rbcL_R (5’-GTAAAATCAAGTCCACCRCG-3’). Полимеразная цепная реакция была проведена в объеме 20 микролитров, с 0,5 единиц DreamTaq-ДНК полимеразы и 50-100 нг ДНК. Секвенирование проводилось по методу Сэнгера с использованием набора для секвенирования BigDye™ Terminator. Идентификация проводилась с использованием BLAST, поиск проводился в глобальной базе данных NCBI. Анализ данных был проведен с помощью программного обеспечения MEGA11.
В результате 85,7% образцов было успешно амплифицировано. Средняя длина последовательностей составила 587 п.н., средняя длина выравнивания 573 п.н. Соотношение G:C 23:21%. Консервативные участки занимают 93,3% от общей длины выравнивания, остальные 6,7% приходится на долю вариабельных участков. Было обнаружено 16 однонуклеотидных полиморфизмов. Расчеты эволюционных расстояний проводились по моделям Джукса-Кантора, Кимуры и Тамура-Ней, и в среднем составили 0.0209, 0.021 и 0.021 соответственно. Самая минимальная дистанция наблюдалась между видами Thymus rasitatus и Thymus kirgisorum, а также между видами Nepeta heliotropifolia и Nepeta nuda. То есть данные виды абсолютно идентичны друг с другом в рамках полученных нуклеотидных последовательностей. Максимальная дистанция среди видов составила 0,0357.
Все полученные нуклеотидные последовательности были загружены в международную базу данных NCBI. Нуклеотидные последовательности rbcL пяти видов семейства Lamiaceae (Thymus rasitatus, Lycopus exaltatus, Thymus kirgisorum, Mentha micrantha и Nepeta heliotropifolia) были загружены в базу данных впервые.
Instabilities and Pattern Formation in Epidemic Spread Induced by Nonlinear Saturation Effects and Ornstein–Uhlenbeck Noise
Authors: Singh Aman Kumar , Buschmeyer Cole , Ramakrishnan Subramanian , Kumar Manish 
Published: September 2024

Abstract
We analytically study the emergence of instabilities and the consequent steady-state pattern formation in a stochastic partial differential equation (PDE) based, compartmental model of spatiotemporal epidemic spread. The model is characterized by: (1) strongly nonlinear forces representing the infection transmission mechanism and (2) random environmental forces represented by the Ornstein–Uhlenbeck (O–U) stochastic process which better approximates real-world uncertainties. Employing second-order perturbation analysis and computing the local Lyapunov exponent, we find the emergence of diffusion-induced instabilities and analyze the effects of O–U noise on these instabilities. We obtain a range of values of the diffusion coefficient and correlation time in parameter space that support the onset of instabilities. Notably, the stability and pattern formation results depend critically on the correlation time of the O–U stochastic process; specifically, we obtain lower values of steady-state infection density for higher correlation times. Also, for lower correlation times the results approach those obtained in the white noise case. The analytical results are valid for lower-order correlation times. In summary, the results provide insights into the onset of noise-induced, and Turing-type instabilities in a stochastic PDE epidemic model in the presence of strongly nonlinear deterministic infection forces and stochastic environmental forces represented by Ornstein–Uhlenbeck noise.
On Multi-Fidelity Impedance Tuning for Human–Robot Cooperative Manipulation
Authors: Lau Ethan , Srivastava Vaibhav , Bopardikar Shaunak D. 
Published: September 2024

Abstract
We examine how a human–robot interaction (HRI) system may be designed when input–output data from previous experiments are available. Our objective is to learn an optimal impedance in the assistance design for a cooperative manipulation task with a new operator. Due to the variability between individuals, the design parameters that best suit one operator of the robot may not be the best parameters for another one. However, by incorporating historical data using a linear autoregressive (AR-1) Gaussian process, the search for a new operator’s optimal parameters can be accelerated. We lay out a framework for optimizing the human–robot cooperative manipulation that only requires input–output data. We characterize the learning performance using a notion called regret, establish how the AR-1 model improves the bound on the regret, and numerically illustrate this improvement in the context of a human–robot cooperative manipulation task. Furthermore, we show how our approach’s input–output nature provides robustness against modeling error through an additional numerical study.
Nitrogen and Phosphorus Co-Doped Hard Carbon Materials as High-Performance Anode for Sodium Ion Batteries
Authors: Wang Jionghui , Cheng Hongkuan , Zhang Xi , Wang Bin 
Published: September 2024

Abstract
The negative electrode of sodium ion batteries (SIBs) has always faced severe challenges in the commercialization process. At present, the commercial negative electrode capacity of sodium ion batteries is only 300–350 mA h g−1, with 1000 cycles capacity retention rate of less than 80%, making it difficult to apply to high profit downstream industries such as new energy vehicles and 3C digital that require strict energy density and lifespan. To improve capacity, increase the first Coulomb efficiency, and enhance performance under high current density, we have prepared a nitrogen phosphorus codoped hard carbon material. Phosphorus groups are doped in the material to achieve sodium storage, at the same time, coating phenolic resin for material modification. At the same time, nitrogen and carbon nanotube (CNT) structures are added during the preparation process to make it have good conductivity. CMC binder and ether-based electrolyte are used to solve the problem of low first Coulomb efficiency by reducing excessive reaction between the negative electrode and the electrolyte. In actual testing, this material has a capacity of 365 mA h g−1 and a capacity retention rate of 112% under long cycles.
Joint Model Parameter Identification and Extended Kalman Filter Algorithm for the State of Charge Estimation of Lithium Iron Phosphate Battery
Authors: Liang Gaoju , Lin Shili , Hu Wentao , Zhang Xianyong , Yang JianMing 
Published: September 2024

Abstract
Accurately estimating the state of charge (SOC) of batteries is crucial for achieving the safety and efficient driving of electric vehicles. To address the negative impact of voltage platform flatness and accumulated errors in current sampling, the SOC estimation method jointing model parameter identification and extended Kalman filter (EKF) algorithm is proposed and verified through simulation in this article. First, the parameter identification method is obtained based on the second-order dual polarization model, and effective identification of the parameters under different SOC is achieved using experimental conditions of hybrid pulse power characteristic and constant current discharge. On this basis, a function model with SOC as the independent variable and model parameters as the dependent variable is established by jointing model parameter identification and EKF algorithm, and the iterative estimation of SOC is achieved through the 1stopt and cftool methods. Finally, the SOC estimation accuracy of the proposed method is validated under three operating conditions that adopt the latest standards and are closer to the actual driving environment. The simulation results show that the SOC estimation method jointing model parameter identification and EKF algorithm has higher accuracy and smaller fluctuations than the traditional ampere-time (AH) integration method, and the mean squared error (MSE) of estimation for the four test conditions are less than 0.29%, 0.72%, and 0.25%, respectively.
Thermal Conductivity of 3D-Printed Metal Using Extrusion-Based Metal Additive Manufacturing Process
Authors: Khanafer Khalil , Abbasspour Austin , Aboelkassem Yasser 
Published: September 2024

Abstract
In this study, the thermal conductivity of 3D-printed 316L stainless steel parts using the bound metal deposition (BMD) method, an extrusion-based 3D-printing technology, was examined experimentally and validated numerically using finite element analysis (FEA). Various critical printing parameters were examined, including infill density, skin overlap percentage, and print sequence to study their effect on the printed thermal conductivity. A heat conduction experiment was performed on the 3D-printed samples of 316L stainless steel followed by a FEA. The results from this investigation revealed that an increase in 3D-printing infill density correlated with a rise in effective thermal conductivity. Conversely, a substantial decrease in thermal conductivity was observed as porosity increased. For instance, at a porosity level of 16.5%, the thermal conductivity experienced a notable 33% reduction compared to the base material. The skin overlap percentage, which governs how much the outer shell of adjacent layers overlaps, was found to impact heat transfer across the overall part surface. A higher overlap percentage was associated with improved thermal conductivity, although it could affect the surface finish of the part. Furthermore, the study explored the print sequence, focusing on whether the outer wall or infill was printed first. Printing the outer wall first resulted in higher thermal conductivity values than that obtained from printing the infill first. Therefore, it is crucial to carefully consider these factors during the BMD 3D-printing process to achieve the desired thermal conductivity properties.
Experimental Investigation of the Thermal Performance of a Prototype Direct-Expansion Solar-Assisted Heat Pump System in a Cold Climate
Authors: Abbasi Bardia , Li Simon , Mwesigye Aggrey 
Published: September 2024

Abstract
Direct-expansion solar-assisted heat pumps (DX-SAHP) take advantage of solar energy to enhance the efficiency of conventional air-source heat pumps. However, their performance in very cold climates is not well understood. In this study, a prototype DX-SAHP is developed to experimentally characterize performance under realistic operating conditions. The system consists of a 2.3 m2 solar collector with a serpentine heat exchanger as an evaporator, a scroll compressor with a rated power input of 0.6 kW, an expansion valve, a coaxial coil heat exchanger as the condenser, and a 178 L water storage tank. A set of experiments was conducted under realistic outdoor air conditions to assess the system’s thermal performance. The system achieved an average coefficient of performance (COP) of 3.1 on a sunny day in winter to raise the water tank temperature from 16.1°C to 50.3°C in 4.5 hours. Conversely, the minimum average COP of 3.0 was recorded on an overcast summer day, raising the water temperature from 27.3°C to 49.5°C in 3.5 hours, while the system achieved its highest average COP of 3.44 on a sunny summer day. The highest instantaneous COP during the operation was 4.33, recorded in summer. However, the system was unable to operate continuously during overcast winter days, due to inadequate available thermal energy.
An Overview of Electric Vehicle Battery
Authors: McGlaughlin Aaron , Sun Timothy , Shafahi Maryam 
Published: September 2024

Abstract
The electric vehicle (EV) market has witnessed significant growth and transformation over the past few years, driven by increasing environmental concerns, government incentives, and advancements in EV technology. As the EV market continues to grow, so does the concern over the environmental impact of EV lithium-ion batteries (LIBs), especially their end-of-life (EOL) disposal. To reduce the environmental impact of EVs, the formation of a circular economy through reuse and recycling of EV LIBs has been suggested and researched. This work is a review on the status of EV batteries including the global market, proposed reuse, recycling process, and environmental issues linked with this extremely fast-growing industry.
High-Fidelity Thermomechanical Modeling of a Novel Indirectly Irradiated Reactor for Solar Thermochemical Fuel Production
Authors: Scott Peter , Patankar Aniket , Wu Ziyao , Haussmann Henrik , Ghoniem Ahmed 
Published: September 2024

Abstract
We have previously proposed the Reactor Train System (RTS) for efficient solar thermochemical hydrogen (STCH) production, which utilizes a counter-flow radiative heat exchange system with moving reactors. RTS reactors are heated with indirect infrared radiation, which is markedly different from current experimentally demonstrated solar receiver-reactors. In this work we present a design study of a prototype reactor, including a high-fidelity heat transfer model with component dimensions informed by mechanical stress modeling. This model was used to subject different variants of the reactor to a heating cycle, and reactor performance metrics such as hydrogen productivity and component temperatures were compared. We report that thermal performance improves when smaller structural components are used, and when active cooling losses are reduced. Our findings show that indirectly heated reactors have unique design considerations, and conventional concentrated solar receivers perform poorly even with a high-temperature window. Strategies for improving the performance of indirectly irradiated thermochemical reactors are identified.