bluuebunny/crossref_metadata_2025_split huggingface dataset:
Daily Electronic Media Use and Sleep in Late Life
Authors: Leger Kate A , Kim Yijung K , Zhang Shiyang , Gao Sibo , Fingerman Karen L 
Published: June 2024

Abstract

Objectives
Daily electronic media use, including television viewing and computer use, is common in older adulthood. Yet, increased electronic media usage may disrupt nightly sleep, leading to sleeping fewer hours and more sleep disruptions. The current study examined these relationships in older adulthood, as well as the potential buffering effect of having a regular sleep schedule.

Methods
Older adults (N = 273) from the Daily Experiences and Well-Being Study (DEWS) completed 5–6 days of data collection where they answered questions at the beginning of the day about the previous night’s sleep as well as questions throughout the day about daily electronic media use. They also wore Actical accelerometers to capture sleep regularity.

Results
Older adults reported sleeping fewer hours and having more sleep disturbances on days when they reported more instances of computer use. Sleep regularity moderated the daily association between TV viewing and sleep disturbances such that daily TV viewing was associated with more sleep complaints only for older adults who had less regular sleep patterns. However, sleep regularity no longer moderated this association when accounting for napping behavior.

Discussion
These findings provide evidence that older adults sleep worse after days when they engage in more electronic media use. The association with TV viewing with sleep disturbances on any given day is somewhat mitigated by engaging in regular sleep patterns. Researchers discuss the importance of assessing electronic media use and sleep in daily life as the role of sleep regularity may be a modifiable protective factor.
Resiliency and Barriers to Successful Aging Among Middle-Aged Mexican Immigrants Residing in a Rural Agricultural Community
Authors: Ambriz Elizabeth , Rojas Nadia , Okoye Obiora C , Calderon Norma M , Calderon Lucia , Kogut Katherine , Deardorff Julianna , Torres Jacqueline M 
Published: June 2024

Abstract

Objectives
The Latino population is one of the largest, most diverse, and fastest-growing demographic groups in the United States. Although Latinos enjoy longer life spans and reduced mortality risk relative to non-Hispanic Whites, they have higher rates of chronic health conditions such as diabetes and dementia and live more of their older years with poor health and disability. Such inequities point to the need for this research focused on examining resiliency strategies and barriers to successful aging among various U.S. Latino subgroups.

Methods
This qualitative study used thematic content analysis to examine resiliency strategies and barriers to successful aging among Mexican immigrant women (n = 40) residing in an underserved agricultural community and entering mid-life (mean = 49 years old).

Results
With regards to barriers to successful aging, 3 themes emerged: (1) stressful lifestyle in the United States compared to the participants’ home countries; (2) stress from expectations at home; and (3) stress due to work and the various components around work. The following 4 resiliency strategies emerged: (1) family as a motivation for moving forward in life and focusing on the success of children; (2) having a positive mindset; (3) praying to God for strength to overcome obstacles; and (4) self-care.

Discussion
Despite experiencing barriers to successful aging, participants practice various resiliency strategies to age successfully. Because many of the barriers identified are related to poverty-related stressors, systemic solutions addressing the social determinants of health are needed.
The medical competence of health care providers in sub-Saharan Africa: Evidence from 16 127 providers across 11 countries
Authors: Daniels Benjamin , Yi Chang Andres , Gatti Roberta , Das Jishnu 
Published: June 2024

Abstract
Despite a consensus that quality of care is critically deficient in low-income countries, few nationally representative studies provide comparable measures of quality of care across countries. To address this gap, we used nationally representative data from in-person administrations of clinical vignettes to measure the competence of 16 127 health care providers across 11 sub-Saharan African countries. Rather than large variations across countries, we found that 81% of the variation in competence is within countries and the characteristics of health care providers do not explain most of this variation. Professional qualifications—including cadre and education—are only weakly associated with competence: across our sample, one-third of nurses are more competent than the average doctor in the same country and one-quarter of doctors are less competent than the average nurse. Finally, while younger cohorts do tend to be more competent, perhaps reflecting improvements in medical education, it would take 25 decades of turnover to improve care by 10 percentage points, on average, if we were to rely on such improvements alone. These patterns necessitate a fundamentally different approach to health care human resource management, calling into question typical staffing policies based on qualifications and seniority rather than directly measured quality.
MiR319a-mediated salt stress response in poplar
Authors: Cheng Yanxia , Wang Qiao , Yang Linxi , Li Quanzi , Yan Xiaojing 
Published: June 2024

Abstract
Maintenance of intracellular ion balance, especially Na+ and K+, plays an important role in plant responses to salt stress. Vessels in xylem are responsible for long-distance ion transport in vascular plants. Knowledge on the salt stress response in woody plants in limited. In this study, we identified miR319a as an important regulator in respond to salt stress in poplar. miR319a overexpression transgenic poplar showed a salt-tolerant phenotype, and cytological observation showed reduced cambium cell layers, wider xylem, increased number and lumen area of vessels and fibers, and thinner cell wall thickness in the transgenics. The miR319a-MIMIC plants, meanwhile, had opposite phenotypes, with narrower xylem, reduced number and lumen area of vessels and fibers cells, and increased wall thickness. In addition, overexpression of miR319a driven by the vessel-specific promoter significantly improved the salt tolerance compared with the fiber-specific promoter. The expression levels of PagHKT1;2 and PagSKOR1-b, which encoded high-affinity K+ and Na+ transporters for Na+ efflux and K+ influx, respectively, were positively correlated with the vessel number and lumen area. These results suggest that miR319 not only promotes ion transport rates by increasing vessel number and lumen area and reducing cell wall thickness, but also regulates the concentrations of Na+ and K+ in the xylem by up-regulating PagHKT1;2 and PagSKOR1-b. We demonstrate that miR319 may coordinate the response of poplar to salt stress through both mechanisms, enriching our understanding of the synergistic effects of the secondary xylem structure and long-distance ion transport balance in the salt tolerance of poplar.
Impact of smoking on resected lung cancer depends on epidermal growth factor receptor mutation
Authors: Sekihara Keigo , Kawase Akikazu , Matsubayashi Yuta , Tajiri Tomoya , Shibata Motohisa , Hayakawa Takamitsu , Shiiya Norihiko , Funai Kazuhito 
Published: June 2024

Abstract

OBJECTIVES
Smokers comprise the majority of surgical patients with primary lung cancer. Epidermal growth factor receptor (EGFR) mutation-negative status impacts the treatment of recurrence. However, the prognostic impact of cigarette smoking stratified by EGFR mutation status has not been reported. Therefore, we assessed its impact on patients with resected lung cancer.

METHODS
We retrospectively analysed 362 consecutive patients who underwent complete resection for stage 1 primary lung cancer at our institution between 2012 and 2021. The EGFR mutation status was evaluated using the real-time polymerase chain reaction. We compared the overall survival (OS) and disease-free survival (DFS) between patients with and without a history of smoking.

RESULTS
The EGFR mutation-negative group included 194 patients, of whom 160 (83%) had a history of smoking. Male sex (P &lt; 0.01), forced expiratory volume in 1 s (P &lt; 0.01) and adenocarcinoma (P &lt; 0.01) showed significant differences between the groups. In the EGFR mutation-positive group, the 5-year OS and DFS were similar regardless of smoking status (OS: 86% vs 75%; DFS: 73% vs 73%). In the EGFR mutation-negative group, the 5-year OS and DFS were significantly poorer in the smoking group (OS: 87% vs 65%, P = 0.05; DFS: 84% vs 54%, P = 0.01). Deaths from other diseases were relatively high (n = 19, 53%).

CONCLUSIONS
Cigarette smoking may be associated with a poor prognosis in EGFR mutation-negative lung cancer but had no impact on the prognosis of the EGFR mutation-positive group. This finding underscores the potential influence of smoking on the treatment of lung cancer recurrence but also highlights its significance in contributing to death from other diseases.
DRL-based resource optimization in 5G low carbon Power Internet of Things
Authors: Guo Min , Liu Zehui , Ma Dongjuan , Jing Weizhe , Gao Wei , Li Dongbin , Liu Xiaojie , Zhang Xueqin 
Published: June 2024

Abstract
With 5G-powered Power Internet of Things growing rapidly, power terminal devices struggle with energy limitations in processing computation-intensive tasks, increasing carbon emissions. Task offloading faces spectrum constraints. To address this problem, a nonorthogonal multiple access-based edge computing model is proposed to reduce energy consumption and carbon footprint, in which some terminals act as cluster heads, optimizing energy usage by relaying tasks to base station. To achieve low-carbon development, we propose a joint offloading strategy, channel selection, and power control method to minimize energy consumption and latency. Experimental results show that our proposed method reduces computation and transmission burdens, proving cost superiority.
Embedded feature selection for neural networks via learnable drop layer
Authors: JimÉnez-Navarro M J , MartÍnez-Ballesteros M , Brito I S , MartÍnez-Álvarez F , Asencio-CortÉs G 
Published: June 2024

Abstract
Feature selection is a widely studied technique whose goal is to reduce the dimensionality of the problem by removing irrelevant features. It has multiple benefits, such as improved efficacy, efficiency and interpretability of almost any type of machine learning model. Feature selection techniques may be divided into three main categories, depending on the process used to remove the features known as Filter, Wrapper and Embedded. Embedded methods are usually the preferred feature selection method that efficiently obtains a selection of the most relevant features of the model. However, not all models support an embedded feature selection that forces the use of a different method, reducing the efficiency and reliability of the selection. Neural networks are an example of a model that does not support embedded feature selection. As neural networks have shown to provide remarkable results in multiple scenarios such as classification and regression, sometimes in an ensemble with a model that includes an embedded feature selection, we attempt to embed a feature selection process with a general-purpose methodology. In this work, we propose a novel general-purpose layer for neural networks that removes the influence of irrelevant features. The Feature-Aware Drop Layer is included at the top of the neural network and trained during the backpropagation process without any additional parameters. Our methodology is tested with 17 datasets for classification and regression tasks, including data from different fields such as Health, Economic and Environment, among others. The results show remarkable improvements compared to three different feature selection approaches, with reliable, efficient and effective results.
Green ripe fruit in tomato: unraveling the genetic tapestry from cultivated to wild varieties
Authors: Kumar Pankaj , Irfan Mohammad 
Published: June 2024

This article comments on:
Cui L, Zheng F, Li C, Li G, Ye J, Zhang Y, Wang T, Hong Z, Ye Z, Zhang J. 2024. Defective mutations in STAY-GREEN 1, PHYTOENE SYNTHASE 1, and MYB12 genes lead to formation of green ripe fruit in tomato. Journal of Experimental Botany 75, 3322–3336.
Metalloid transporters in plants: bridging the gap in molecular structure and physiological exaptation
Authors: Sharma Yogesh , Hemmings Andrew M , Deshmukh Rupesh , Pareek Ashwani 
Published: June 2024

Abstract
The rhizosphere contains both essential nutrients and potentially harmful substances for plant growth. Plants, as sessile organisms, must efficiently absorb the necessary nutrients while actively avoiding the uptake of toxic compounds. Metalloids, elements that exhibit properties of both metals and non-metals, can have different effects on plant growth, from being essential and beneficial to being toxic. This toxicity arises due to either the dosage of exposure or the specific elemental type. To utilize or detoxify these elements, plants have developed various transporters regulating their uptake and distribution in plants. Genomic sequence analysis suggests that such transporter families exist throughout the plant kingdom, from chlorophytes to higher plants. These transporters form defined families with related transport preferences. The isoforms within these families have evolved with specialized functions regulated by defined selectivity. Hence, understanding the chemistry of transporters to atomic detail is important to achieve the desired genetic modifications for crop improvement. We outline various adaptations in plant transport systems to deal with metalloids, including their uptake, distribution, detoxification, and homeostasis in plant tissues. Structural parallels are drawn to other nutrient transporter systems to support emerging themes of functional diversity of active sites of transporters, elucidating plant adaptations to utilize and extrude metalloid concentrations. Considering the observed physiological importance of metalloids, this review highlights the shared and disparate features in metalloid transport systems and their corresponding nutrient transporters.
SPIRou spectropolarimetry of the T Tauri star TW Hydrae: magnetic fields, accretion, and planets
Authors: Donati J -F , Cristofari P I , Lehmann L T , Moutou C , Alencar S H P , Bouvier J , Arnold L , Delfosse X , Artigau E , Cook N , Kóspál Á , Ménard F , Baruteau C , Takami M , Cabrit S , Hébrard G , Doyon R ,   SPIRou Science Team
Published: June 2024

ABSTRACT
In this paper, we report near-infrared observations of the classical T Tauri star TW Hya with the SPIRou high-resolution spectropolarimeter and velocimeter at the 3.6-m Canada–France–Hawaii Telescope in 2019, 2020, 2021, and 2022. By applying Least-Squares Deconvolution (LSD) to our circularly polarized spectra, we derived longitudinal fields that vary from year to year from –200 to +100 G, and exhibit low-level modulation on the 3.6 d rotation period of TW Hya, despite the star being viewed almost pole-on. We then used Zeeman–Doppler Imaging to invert our sets of unpolarized and circularly polarized LSD profiles into brightness and magnetic maps of TW Hya in all four seasons, and obtain that the large-scale field of this T Tauri star mainly consists of a 1.0–1.2 kG dipole tilted at about 20° to the rotation axis, whereas the small-scale field reaches strengths of up to 3–4 kG. We find that the large-scale field is strong enough to allow TW Hya to accrete material from the disc on the polar regions at the stellar surface in a more or less geometrically stable accretion pattern, but not to succeed in spinning down the star. We also report the discovery of a radial velocity signal of semi-amplitude $11.1^{+3.3}_{-2.6}$ m s−1 (detected at 4.3σ) at a period of 8.3 d in the spectrum of TW Hya, whose origin may be attributed to either a non-axisymmetric density structure in the inner accretion disc, or to a $0.55^{+0.17}_{-0.13}$MꝜ candidate close-in planet (if orbiting in the disc plane), at an orbital distance of 0.075 ± 0.001 au.
Hard X-rays and QPO in Swift J1727.8−1613: the rise and plateau of the 2023 outburst
Authors: Mereminskiy I , Lutovinov A , Molkov S , Krivonos R , Semena A , Sazonov S , Tkachenko A , Sunyaev R 
Published: June 2024

ABSTRACT
We report on the detection of type-C quasi-periodic oscillations during the initial stages of the outburst of Swift J1727.8–1613 in 2023. Using data of the INTEGRAL observatory along with the data of the Mikhail PavlinskyART-XC telescope on board Spektr-RG and X-ray Telescope (XRT) of the Neil Gehrels Swift observatory the fast growth of the quasi-periodic oscillations (QPO) frequency was traced. We present a hard X-ray light curve that covers the initial stages of the 2023 outburst – the fast rise and plateau – and demonstrate that the QPO frequency was stable during the plateau. The switching from type-C to type-B QPO was detected with the beginning of the source flaring activity. We have constructed a broad-band spectrum of Swift J1727.8−1613 and found an additional hard cutoff power-law spectral component extending at least up to 250 keV. Finally, we have obtained an upper limit on the hard X-ray flux at the beginning of the optical outburst and estimated the delay of the hard X-ray outburst with respect to the optical one.
Advanced diffusion imaging reveals microstructural characteristics of primary CNS lymphoma, allowing differentiation from glioblastoma
Authors: Würtemberger Urs , Diebold Martin , Rau Alexander , Akgün Veysel , Becker Lucas , Beck Jürgen , Reinacher Peter C , Taschner Christian A , Reisert Marco , Fehrenbacher Luca , Erny Daniel , Scherer Florian , Hohenhaus Marc , Urbach Horst , Demerath Theo 
Published: June 2024

Abstract

Background
Primary CNS lymphoma (PCNSL) and glioblastoma (GBM) both represent frequent intracranial malignancies with differing clinical management. However, distinguishing PCNSL from GBM with conventional MRI can be challenging when atypical imaging features are present. We employed advanced dMRI for noninvasive characterization of the microstructure of PCNSL and differentiation from GBM as the most frequent primary brain malignancy.

Methods
Multiple dMRI metrics including Diffusion Tensor Imaging, Neurite Orientation Dispersion and Density Imaging, and Diffusion Microstructure Imaging were extracted from the contrast-enhancing tumor component in 10 PCNSL and 10 age-matched GBM on 3T MRI. Imaging findings were correlated with cell density and axonal markers obtained from histopathology.

Results
We found significantly increased intra-axonal volume fractions (V-intra and intracellular volume fraction) and microFA in PCNSL compared to GBM (all P &lt; .001). In contrast, mean diffusivity (MD), axial diffusivity (aD), and microADC (all P &lt; .001), and also free water fractions (V-CSF and V-ISO) were significantly lower in PCNSL (all P &lt; .01). Receiver-operating characteristic analysis revealed high predictive values regarding the presence of a PCNSL for MD, aD, microADC, V-intra, ICVF, microFA, V-CSF, and V-ISO (area under the curve [AUC] in all &gt;0.840, highest for MD and ICVF with an AUC of 0.960). Comparative histopathology between PCNSL and GBM revealed a significantly increased cell density in PCNSL and the presence of axonal remnants in a higher proportion of samples.

Conclusions
Advanced diffusion imaging enables the characterization of the microstructure of PCNSL and reliably distinguishes PCNSL from GBM. Both imaging and histopathology revealed a relatively increased cell density and a preserved axonal microstructure in PCNSL.
Behavioral Activation mHealth Application for Smoking Cessation: A Randomized Controlled Pilot Trial
Authors: Heffner Jaimee L , Serfozo Edit , Baker Kelsey , Gasser Melissa , Watson Noreen , Daughters Stacey B , Becoňa Elisardo , McClure Jennifer B 
Published: June 2024

Abstract

Introduction
Behavioral activation (BA) is an effective intervention for both depression and substance use disorders. Combining BA with a standard smoking cessation intervention may improve quit rates by addressing depressive symptoms, a key barrier to quitting. This study preliminarily evaluated the acceptability and efficacy of the BA-based Actify! mobile health application (mHealth app) for smoking cessation.

Aims and Methods
We conducted a pilot randomized controlled trial (n = 242) comparing Actify! with the National Cancer Institute’s (NCI) app for smoking cessation (QuitGuide) on acceptability (user satisfaction, app openings), smoking abstinence, and mechanisms of change (BA and depressive symptoms) at 8 weeks and 6 months postrandomization. Participants were US adults recruited online who smoked daily.

Results
Treatment satisfaction was uniformly higher in the Actify! arm. Number of app openings was similar across arms (M = 34.3 openings over 8 weeks in both arms). Self-reported 30-day point prevalence abstinence (PPA) at 8 weeks was 12.6% for Actify! versus 7.3% for QuitGuide. Differences in 30-day PPA continued through 6 months (18.5% for Actify! vs. 12.2% for QuitGuide). Changes between baseline and 8 weeks in depressive symptoms and BA favored Actify!. Planned subgroup analyses suggested greater benefit of Actify! among participants with pretreatment mild-to-moderate depression symptom severity compared to those with no depression symptoms.

Conclusions
Actify! showed considerable promise as a novel mHealth treatment, as evidenced by its high usage and higher user satisfaction and quit rates than QuitGuide at both short- and long-term follow-up. The next step is to evaluate Actify! in a fully powered efficacy trial.

Implications
Study findings demonstrate the promise of a BA-based mobile health app (Actify!) for smoking cessation as a population-level intervention that can effectively address depressive symptoms as a risk factor for worse smoking treatment outcomes. The Actify! app is the first standalone BA-based app to demonstrate potential for improved acceptability and efficacy relative to a standard care comparison app, with user satisfaction and smoking quit rates descriptively exceeding those of the NCI’s QuitGuide app.