bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maternal mental health is associated with children's frequency of family meals at 12 and 24 months of age
Authors: Helle Christine , Hillesund Elisabet R. , Øverby Nina Cecilie 
Published: August 2023

AbstractDiet during the child's first years is important for growth and development. In toddlerhood, higher diet quality is reported among children eating meals together with family. Although previous literature has documented several associations between maternal mental health and early child feeding practices, less is known about the relationship between maternal mental health and child frequency of shared family meals. This study explores associations between maternal symptoms of anxiety and depression, measured by The Hopkins Symptoms Checklist (SCL‐8), and toddler participation in family meals. We used cross‐sectional data from the Norwegian study Early Food for Future Health, in which participants responded to questionnaires at child age 12 (n = 455) and 24 months (n = 295). Logistic regression was used to explore associations between maternal mental health and child having regular (≥5 per week) or irregular (<5 per week) family meals (breakfast and dinner), adjusting for relevant child and maternal confounding variables. Children of mothers with higher scores of anxiety and depression had higher odds of Irregular family meals at both timepoints; (OR: 2.067, p = 0.015) and (OR: 2.444, p = 0.023). This is one of few studies exploring associations between maternal mental health and child frequency of shared family meals in early childhood, a period where the foundation for life‐long health is shaped. Given the high prevalence of mental ailments and disorders, these findings are important and may inform future public health interventions. Further exploration of this relation is needed, including longitudinal research to test predictive associations and qualitative studies to increase insight and understanding.
Combination chelation therapy
Authors: Aydinok Yesim 
Published: August 2023

AbstractCombination chelation therapies are considered in transfusion‐dependent thalassemia patients for whom monotherapy regimens have failed to achieve iron balance or intensification of iron chelation therapy is required for the rapid reduction of excess iron to avoid permanent organ damage. Combination chelation may provide a more flexible approach for individualizing chelation therapy, thereby improving tolerability, adherence, and quality of life. In principle, iron chelators can be combined with an infinite number of dosing regimens; these involve simultaneous or sequential exposure to the chelators on the same day or alternating the drugs on different days. Clinical studies have established the safety and efficacy of chelation combinations. However, real‐life data with combination therapies indicate the significance of compliance for a meaningful reduction in iron overload compared to monotherapies.
Translation and analogical reasoning
Authors: Larsen Svend Erik 
Published: August 2023

AbstractThis article argues that the dissemination of literatures across historical and cultural divides follow partly random analogical pathways, not least pushed by translations. By contrast, within traditional comparative literature hierarchical centre/periphery models for literary transmissions were to a large extent based on the idea of a unilateral influence moving from dominant source cultures and their canonical writers and texts to other cultures. With the aim of revising this model I will as necessary suggest analogical reasoning, understood as a bi‐directional and non‐hierarchical approach to literary dissemination as it is embedded in translatory, aesthetic and performative practices across languages and cultures. My examples are two: an early nineteenth‐century direct Danish translation from 1805 of William Shakespeare's Hamlet; and an early twentieth‐century case of cross‐media use of an indirect German translation of Chinese poetry in Gustav Mahler's symphonic work Das Lied von der Erde (1908–1909).
Agency: Let's mind what's fundamental1
Authors: Wallace Robert H. 
Published: August 2023

AbstractThe standard event‐causal theory of action says that an intentional action is caused in the right way by the right mental states. This view requires reductionism about agency. The causal role of the agent must be nothing over and above the causal contribution of the relevant mental event‐causal processes. But commonsense finds this reductive solution to the “agent‐mind problem”, the problem of explaining the relationship between agents and the mind, incredible. Where did the agent go? This paper suggests that this challenge against event‐causal reductionism is importantly related to debates about fundamentality. It also suggests that extant event‐causal answers to the agent‐mind problem, ones that suggest that part of an agent's mind can stand proxy for the agent herself, fail against the challenge. It sketches an alternative reductive view that appeals to entity grounding. This view resolves the commonsense challenge and promises to be theoretically fruitful with respect to other longstanding problems with the event‐casual view. The paper concludes with a burden‐shifting argument against emergentist agent‐causal theories and non‐reductive event‐causal theories of agency.
Is sunscreen alone effective at preventing sunburn on a high‐solar beach vacation: A modeling study?
Authors: Diffey Brian L. , Schmalwieser Alois W. 
Published: August 2023

AbstractBeach holidays in areas of strong sunlight are popular and sunscreen is often the primary means of photoprotection favored by many people. The object of this study was to estimate how effective sunscreen is in preventing sunburn under high ultraviolet (UV) levels. We used a computational model to determine how the quantity, frequency, substantivity, and labeled SPF of applied sunscreens impact on the predicted erythemal response in unacclimatized skin over the course of a 7‐day holiday in a high‐solar environment. Our results indicated that sunscreen on its own may be insufficient to prevent sunburn in white skin on a sun‐seeking holiday that combines prolonged exposure with high UV levels. Nevertheless, sunscreens have a valuable role to play on a beach holiday especially if an SPF30 or higher is chosen, the product is applied liberally and uniformly, application is started early into the sun exposure period and repeated at 2‐hourly intervals throughout the day, and the product binds well to the skin. The main limitation of our investigation is that it is not an observational study but rather a computational model and while all models are wrong, some, including this one, are useful.
In silico prediction and analysis of transmembrane‐coiled‐coil resistance gene analogues in 27Brassicaceaespecies
Authors: Cantila Aldrin Y. , Thomas William J. W. , Bayer Philipp E. , Edwards David , Batley Jacqueline 
Published: August 2023

AbstractTheBrassicaceaefamily is composed of a broad range of species, including the economically important crops fromBrassica,Raphanus,CamelinaandSinapisgenera. The production ofBrassicaceaespecies, particularly the crop members, is threatened by major diseases. However, the impact of diseases can be minimized or even negated by improving disease resistance. Transmembrane‐coiled‐coil (TM‐CC) genes are a type of resistance gene analogue (RGA) that have been proven to play specific roles in resistance to several diseases. Here, TM‐CCs have been predicted in 27 genomes fromBrassicaceaegenera includingArabidopsis,Arabis,Barbarea,Boechera,Brassica,Camelina,Capsella,Cardamine,Eutrema,Leavenworthia,Lepidium,Raphanus,Sinapis,Sisymbrium,SchrenkiellaandThlaspi. The number of TM‐CCs varies throughout the studied genomes, as well as between genera, diploids and polyploids, andBrassicagenomes and subgenomes. In total, 6788 TM‐CCs were identified, with 708 of them predicted with signalling function, 172 colocalized with previously known disease resistance regions and 70 phylogenetically related to cloned resistance genes, indicating the possible functional involvement of TM‐CCs in resistance. This study provides a resource for the identification of functionalBrassicaceaeTM‐CCs along with their clustering and duplication patterns and provides a benchmark for further studies investigating TM‐CCs.
Traveling waves in a coarse‐grained model of volume‐filling cell invasion: Simulations and comparisons
Authors: Crossley Rebecca M. , Maini Philip K. , Lorenzi Tommaso , Baker Ruth E. 
Published: August 2023

AbstractMany reaction–diffusion models produce traveling wave solutions that can be interpreted as waves of invasion in biological scenarios such as wound healing or tumor growth. These partial differential equation models have since been adapted to describe the interactions between cells and extracellular matrix (ECM), using a variety of different underlying assumptions. In this work, we derive a system of reaction–diffusion equations, with cross‐species density‐dependent diffusion, by coarse‐graining an agent‐based, volume‐filling model of cell invasion into ECM. We study the resulting traveling wave solutions both numerically and analytically across various parameter regimes. Subsequently, we perform a systematic comparison between the behaviors observed in this model and those predicted by simpler models in the literature that do not take into account volume‐filling effects in the same way. Our study justifies the use of some of these simpler, more analytically tractable models in reproducing the qualitative properties of the solutions in some parameter regimes, but it also reveals some interesting properties arising from the introduction of cell and ECM volume‐filling effects, where standard model simplifications might not be appropriate.
Brief relationship support as a selective suicide prevention intervention: Piloting the Relationship Checkup in veteran couples with relationship and mental health concerns
Authors: Crasta Dev , Funderburk Jennifer S. , Gray Tatiana D. , Cordova James V. , Britton Peter C. 
Published: August 2023

AbstractIntroductionClose relationship problems play a key role in many contemporary theories of suicide. However, the potential of relationship support in suicide prevention is understudied. This study explores the feasibility, safety, acceptability, and promise of utilizing the 3‐session Relationship Checkup (RC) in veterans with mental health and romantic relationship concerns.MethodsWe conducted a single‐arm pilot of telehealth RC in veterans with a positive mental health screen and their romantic partners. Couples completed baseline and post‐treatment assessments of study outcomes.ResultsFeasibility analyses showed we were able to recruit an elevated‐risk sample (30% history of attempts or interrupted attempts), take them through the service (90% treatment completion), and had minimal harm events (no suicidal behavior, no physical harm in arguments). Multimethod acceptability analyses suggested high satisfaction with the program, though some desired more intensive services. Couples reported improvements in relationship functioning, emotional intimacy, thwarted belongingness, depression, and posttraumatic stress. Perceived burdensomeness only improved for identified patients and drinking did not change for either partner.ConclusionThe RC is a feasible, safe, and acceptable strategy for providing relationship support to couples at elevated risk. Although further randomized trials are needed, RC shows promise to reduce relationship‐level and individual‐level suicide risk factors.
Clinical and immune features of human parvovirus B19 infection in allogeneic stem cell transplantation recipients: A retrospective monocentric study
Authors: Sammut Rinzine , Feghoul Linda , Xhaard Alienor , Dhedin Nathalie , Robin Marie , Michonneau David , Loschi Michael , Legoff Jerome , de Peffault de Latour Regis , de Sicre de Fontbrune Flore 
Published: August 2023

AbstractBackgroundHuman parvovirus B19 (B19V) infection is associated with pure red cell aplasia (PRCA) in immunocompromised patients; however, the spectrum of manifestations associated with B19V in allogeneic hematopoietic stem cell transplantation recipients (alloHSCT) has rarely been reported.MethodsIn this study, we aimed to report clinical and immune features of B19V infection after alloHSCT. We retrospectively collected and analyzed clinical and microbiological data of all transplanted patients with B19V DNAmia or tissue infection detected by polymerase chain reaction (PCR) in our center from 2010 to 2021.ResultsWe report 35 cases of B19V infections in 33 patients. Median time from transplant to B19V first PCR positivity was 6.9 months (interquartile range (IQR) [1.6–18.9]). No preferential immune profile, type of transplantation or conditioning was identified. Hematological impairment was the most frequent sign, followed by rash and fever. Unconventional clinical forms were also detected, such as acute myelitis and myositis. For some cases, the direct relationship between symptoms and B19V infection was difficult to prove but was suggested by targeted tissue PCR positivity. When hematological impairment was not at the forefront, reticulocytopenia helped to diagnose B19V infections. Treatment was mainly based on high dose intravenous immunoglobulin.ConclusionAlthough hematological impairment was the most frequent sign, B19V can affect multiple targets and lead to atypical manifestations. Because of its heterogeneous clinical presentation, B19V infection is likely under‐diagnosed. Diagnosis of unusual B19V organ involvement needs combination of arguments which can include targeted tissue PCR.
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Antimicrobials in patients with hematologic malignancies and recipients of hematopoietic cell transplantation and other cellular therapies
Authors: Tverdek Frank , Escobar Zahra Kassamali , Liu Catherine , Jain Rupali , Lindsay Julian 
Published: August 2023

AbstractBackgroundAppropriate use of antimicrobials for hematologic malignancy, hematopoietic stem cell transplant recipients, and other cellular therapies is vital, with infection causing significant morbidity and mortality in this unique population of immunocompromised hosts. However, often in this population the choice and management of antimicrobial therapy is complex. When selecting an antimicrobial agent, key considerations include the need for dose adjustments due to renal or hepatic impairment, managing drug interactions, the potential for additive drug toxicity among those receiving polypharmacy and therapeutic drug monitoring. Other factors include leveraging pharmacodynamic principles to enable optimization of directed therapy against challenging pathogens, as well as judicious use of antimicrobials to limit drug resistance and adverse drug reactions.SummaryThis review summarizes the clinical considerations for commonly used antimicrobials in this setting, including antibacterial, antiviral, and antifungal agents.image
Does foreign direct investment benefit local firms? Evidence from a natural experiment study
Authors: Nguyen Cuong Viet , Tran Tuyen Quang , Vu Huong Van 
Published: August 2023

AbstractWe examine the spillover effect of foreign direct investment (FDI) on domestic firms in Vietnam. We use distance between each district center and the 17th parallel north latitude as an instrumental variable for FDI firm density at the district level. The rationale for this instrument is that districts which are closer to the 17th parallel north latitude, are more likely to suffer from unexploded ordnance (UXO) from the Indochina wars and therefore attract fewer FDI firms. We find that 1% increase in FDI firm density leads to 0.2% increase in revenue and profit per employee of domestic firms. The main mechanism for this positive effect does not take place through technology spillovers but through backward linkages where domestic firms in districts with a higher FDI firm density have more FDI customers. Our study also shows the long‐term effect of war on the efficacy of domestic firms. In particular, 1% increase in the proportion of UXO‐contaminated areas reduces revenue and profit per employee of domestic firms by 0.28% and 0.29%, respectively.
DETERIORATION KINETICS OF NEUTRALIZED RED FRUIT (Pandanus conoideus L.) OIL DURING STORAGE
Authors: Sarungallo Zita Letviany , Santoso Budi , Letsoin Yuyun Yuanita Digna , Epriliati Indah 
Published: August 2023

This study’s goal was to obtain a kinetics model of neutralized red fruit oil (NRFO) quality change during storage. The NRFO was stored in dark bottles at 60 °C, 75 °C and 90 °C for ± 15 days to evaluate the quality. The results showed that the quality of NRFO decreased along with the increase in temperature and storage time. This was indicated by increasing moisture content, Free Fatty Acid (FFA), peroxide number, as well as decreasing of the total carotenoids and total tocopherols. The FFA content and peroxide number of NRFO increase followed the kinetics zeroth order model, with activation energy (Ea) of 6372 cal/moloK and 9954 cal/moloK, respectively. Meanwhile, the decrease in carotenoid and tocopherol content followed the kinetics first order model, with Ea 9581 cal/moloK and 14242 cal/moloK, respectively. Estimation of shelf life of NRFO was based on peroxide number equation. The shelf life of NRFO is 398.5 days or 13.3 months if it is stored at 20 °; and the shelf life is 277.6 days or 9.3 months if it is stored 30 °C.
Helical Fins for Concentrated Solar Receivers: Design Optimization and Entropy Analysis
Authors: Pidaparthi Bharath , Missoum Samy , Xu Ben , Li Peiwen 
Published: August 2023

Abstract
Concentrated solar power (CSP) with thermal energy storage (TES) has the potential to achieve grid parity. This can be realized by operating CSP systems at temperatures above 700 °C with high-efficiency sCO2 power cycles. However, operating CSP systems at such temperatures poses several challenges, among which the design of solar receivers to accommodate increased thermal loads is critical. To this end, this work explores and optimizes various swirl-inducing internal fin designs for solar receiver tubes. These fin designs not only improve the thermal performance of receiver tubes but also levelize temperature unevenness caused by non-uniform thermal loading. In this work, the geometric parameters of the fin designs are optimized to maximize the Nusselt number with a constraint on the friction factor. This optimization, however, is computationally intensive, requiring hundreds of simulation calls to computational fluid dynamics (CFD) models. To circumvent this problem, surrogate models are used to approximate the simulation outputs needed during the optimization. In addition, this study also examines the fin designs from an entropy generation perspective. To this end, the entropy contributions from thermal and viscous effects are quantitatively compared while varying the operational Reynolds number.
Mathematical Modeling and Experimental Characterization of the Piezoelectric Servo Valve System
Authors: Zhang Yixin , Pan Wei , Chen Shujiang , Zhang Yongtao , Lu Changhou 
Published: August 2023

Abstract
The dynamic performance of the hydraulic system depends on the dynamic characteristics of the servo valve. In this article, the control characteristics of the piezoelectric servo valve are studied theoretically and experimentally. The mathematical model of the system is established by considering the influence of the piezoelectric servo valve, the influence of the pipeline, and the interaction between them. The frequency response characteristics of the system and the influence of the pipeline parameters on the control characteristics of the system are discussed. The simulation results are compared with the experimental results to verify the accuracy and efficiency of the piezoelectric servo valve dynamic model established in this article.
Energy Forecasting in Buildings Using Deep Neural Networks
Authors: Migliori Mariana , Najafi Hamidreza 
Published: August 2023

Abstract
The building sector is responsible for the largest portion of the total energy consumption in the United States. Conventional physics-based building energy models (BEMs) consider all of the building characteristics in order to accurately simulate their energy usage, requiring an extensive, complex, and costly process, particularly for existing buildings. In recent years, data-driven models have emerged as an additional path toward the prediction of energy consumption in buildings. The purpose of this work is to present a methodology for predicting the energy consumption of buildings using deep neural networks (NNs). Three machine learning algorithms, including a linear regression model, a multilayer perceptron NN, and a convolutional NN (CNN) model, are proposed to solve an energy consumption regression problem using outside dry-bulb temperature as the only input. To assess these methods, a building in Melbourne, FL, is considered and modeled in EnergyPlus. Ten years of data were used as inputs to the EnergyPlus model, and the energy consumption was calculated accordingly. The input to the machine learning algorithm (average daily dry-bulb temperature) and the output (daily total energy consumption) are used for training. Cross-validation was performed on the trained model using actual weather data measured onsite at the building location. The results showed that all three proposed machine learning algorithms were trained successfully and were able to solve the regression problem with high accuracy. However, the CNN model provided the best results when compared with the other two methods. This work also investigates different data filtering techniques that provide the best positive correlation between inputs and outputs for a similar type of problem. Results from this work aim to be used toward accurate energy forecasting that facilitates achieving higher energy efficiency in the building sector. The presented framework provides a readily simple model that allows accurate prediction of outputs when supplied with new inputs and can be used by a wide range of end users.
Harvesting Twitter Data for Studying Motor Behavior in Disabled Populations: An Introduction and Tutorial in Python
Authors: Fears Nicholas E. , Chatterjee Riya , Tamplain Priscila M. , Miller Haylie L. 
Published: August 2023

Social media platforms are rich and dynamic spaces where individuals communicate on a person-to-person level and to broader audiences. These platforms provide a wealth of publicly available data that can shed light on the lived experiences of people from numerous clinical populations. Twitter can be used to examine individual expressions and community discussions about specific characteristics (e.g., motor skills, burnout) associated with a diagnostic group. These data are useful for understanding the perspectives of a diverse, international group of self-advocates representing a wide range of clinical populations. Here, we provide a framework for how to harvest data from Twitter through their free, academic researcher application programming interface access using Python, a free, open-source programming language. We also provide a sample data set harvested using this framework and a set of analyses on these data specifically related to motor differences in neurodevelopmental conditions. This framework offers a cost-effective and flexible means of harvesting and analyzing Twitter data. Researchers should utilize these resources to advance our understanding of the lived experiences of clinical populations through social media platforms and to determine the critical questions that are of most importance to improving quality of life.