bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks
Authors: Lemmon Joshua , Guo Lin Lawrence , Steinberg Ethan , Morse Keith E , Fleming Scott Lanyon , Aftandilian Catherine , Pfohl Stephen R , Posada Jose D , Shah Nigam , Fries Jason , Sung Lillian 
Published: August 2023

Abstract

Objective
Development of electronic health records (EHR)-based machine learning models for pediatric inpatients is challenged by limited training data. Self-supervised learning using adult data may be a promising approach to creating robust pediatric prediction models. The primary objective was to determine whether a self-supervised model trained in adult inpatients was noninferior to logistic regression models trained in pediatric inpatients, for pediatric inpatient clinical prediction tasks.

Materials and Methods
This retrospective cohort study used EHR data and included patients with at least one admission to an inpatient unit. One admission per patient was randomly selected. Adult inpatients were 18 years or older while pediatric inpatients were more than 28 days and less than 18 years. Admissions were temporally split into training (January 1, 2008 to December 31, 2019), validation (January 1, 2020 to December 31, 2020), and test (January 1, 2021 to August 1, 2022) sets. Primary comparison was a self-supervised model trained in adult inpatients versus count-based logistic regression models trained in pediatric inpatients. Primary outcome was mean area-under-the-receiver-operating-characteristic-curve (AUROC) for 11 distinct clinical outcomes. Models were evaluated in pediatric inpatients.

Results
When evaluated in pediatric inpatients, mean AUROC of self-supervised model trained in adult inpatients (0.902) was noninferior to count-based logistic regression models trained in pediatric inpatients (0.868) (mean difference = 0.034, 95% CI=0.014-0.057; P &lt; .001 for noninferiority and P = .006 for superiority).

Conclusions
Self-supervised learning in adult inpatients was noninferior to logistic regression models trained in pediatric inpatients. This finding suggests transferability of self-supervised models trained in adult patients to pediatric patients, without requiring costly model retraining.
The FoxO1-ATGL axis alters milk lipolysis homeostasis through PI3K/AKT signaling pathway in dairy goat mammary epithelial cells
Authors: He Qiuya , Gao Liangjiahui , Zhang Fuhong , Yao Weiwei , Wu Jiao , Song Ning , Luo Jun , Zhang Yong 
Published: August 2023

Abstract
Goat milk is enriched in fatty acids which are beneficial to human health. Previous research has revealed that 98% of milk fat is composed of triglycerides. However, the mechanisms regulating milk fat composition remain unclear. Forkhead box protein O1 (FoxO1) is a crucial regulatory factor involved in lipid metabolism across various cell types. Chromatin immunoprecipitation sequencing (ChIP)—seq data) and RNA sequencing (RNA-seq) data revealed that have indicated a close association between FoxO1 was closely related to lipid metabolism during lactation in dairy goats. The objective of this study was to investigate the mechanisms by which FoxO1 regulates lipid metabolism in goat mammary epithelial cells (GMECs). FoxO1 knockdown significantly downregulated the expression of adipose triglyceride lipase (ATGL) and suppressed the activity of the ATGL promoter. Consistently, the number of lipid droplets decreased significantly in FoxO1-overexpressing cells and increased in ATGL-knockdown cells. To further verify the effect of FoxO1 on ATGL promoter activity, cells were transfected with four promoter fragments of different lengths. We found that the core region of the ATGL promoter was located between −882 bp and −524 bp, encompassing two FoxO1 binding sites (FKH1 and FKH2). Mutations in the FoxO1 binding sites significantly downregulated ATGL promoter activity in GMECs. Luciferase reporter assays demonstrated that FoxO1 overexpression markedly enhanced ATGL promoter activity. Furthermore, site-directed mutation confirmed that FKH1 and FKH2 sites were simultaneously mutated significantly attenuated the stimulatory effect of FoxO1 on ATGL promoter activities simultaneous mutation of FKH1 and FKH2 sites significantly attenuated the stimulatory effect of FoxO1 on ATGL promoter activity. ChIP assays showed that FoxO1 directly binds to the FKH2 element located in the ATGL promoter in vivo. Finally, immunofluorescence staining revealed that insulin promotes the translocation of FoxO1 from the nucleus to the cytoplasm, thereby attenuating the FoxO1-induced activation of the ATGL promoter. Collectively, these findings uncover a novel pathway where by FoxO1 may regulate lipid metabolism in GMECs specifically by modulating the transcriptional activity of ATGL.
Towards adherence monitoring using breath or oral fluid as a matrix in a methadone maintenance treatment program for patients with a chronic heroin use disorder: Issues and interpretation of the results
Authors: de Jong Lutea A A , Kloost Tim , Olyslager Erik J H , Böttcher Michael , Wieferink Jan A , Vossenberg Peter , Belgers Maarten , Beurmanjer Harmen , de Haan Hein A 
Published: August 2023

Abstract
Urine has been the preferred matrix for monitoring heroin and methadone adherence due to its large detection window. Drawbacks such as privacy concerns and adulteration however require other matrices. The study aims to determine if oral fluid and exhaled breath are suitable alternatives for heroin and methadone monitoring and to assess the detection time in exhaled breath. Forty-three participants, all on methadone and heroin-assisted treatment, were studied. Participants were monitored after the first and right before the second dosage of heroin. At both time points, oral fluid and exhaled breath samples were collected with urine at the second time point. All samples were screened for opiates, methadone and other drugs using immunoassay and LC–MS-MS. At the second time point, 98% of oral fluid samples and all exhaled breath samples tested positive for 6-monoacetylmorphine (6-MAM). Regarding morphine detection, the findings were reversed (100% in oral fluid, 98% in exhaled breath). Methadone-related results were 100% positive across all matrices, as expected. Notable is the detection of the heroin marker acetylcodeine in oral fluid and exhaled breath samples, which resulted in relatively low negative predictive value (average 54.6%). Oral fluid and exhaled breath are suitable alternatives for heroin and methadone maintenance monitoring. Clinicians should consider ease of collection, adulteration risk, costs, turn-around time and the substance of interest while choosing a matrix. In addition, even in cases when medicinal heroin is used, medical professionals should be aware of the presence of acetylcodeine in these alternate matrices.
From the Silo to the Landscape: The Role of Law in Landscape-scale Restoration of Coastal and Marine Ecosystems
Authors: Bell-James Justine 
Published: August 2023

Abstract
Internationally, we are in the midst of a shift from an environmental legal regime focussed solely on protection to one encompassing restoration. In the coastal wetland context, this move is especially needed due to the significant legacy of past losses. This article welcomes this shift, but advocates for a legal framework that embeds landscape-scale restoration from the outset, moving us from a siloed focus on single ecosystem services and projects. This argument is made by reference to learnings from the high level of fragmentation in the environmental protection space and by reference to the literature on ecological restoration and nature-based solutions. It will also use a recent example from Australia—the Blue Carbon methodology—to illustrate that momentum towards coastal restoration in legal frameworks is occurring, leaving us with a time-limited opportunity to ensure that this landscape-scale focus is embedded into restoration law before a siloed focus becomes entrenched.
‘Enjoying Time Alone’: Exploring Solitude as a Positive Space for Refugee Wellbeing
Authors: Kale Amber 
Published: August 2023

Abstract
In this article, I draw upon a participatory research project to explore how solitude enhanced a sense of place-attachment and wellbeing for former refugees in Aotearoa New Zealand. Solitude is overlooked in refugee resettlement research, which instead prioritizes theories of social participation and integration. However, positive experiences of aloneness enabled participants to freely regulate their emotions, express their identities, restructure their surroundings, and build meaningful place-attachments. Such emotionally transformative experiences are central to feeling well in new places, and I therefore argue that solitude requires researchers and policymakers’ attention as part of a more balanced resettlement approach; where the stressful work of social participation and integration are tempered with the necessary time and space for individuals to rest, reflect, and rejuvenate. In particular, resettling refugees could benefit from more research on the intersectional nuances of solitude and enhanced access to local knowledge, space, and resources to pursue meaningful solitary activities.
Atypical fundal perforation: a case report
Authors: Davoudi Sadaf , De Decker Marjolein , Willemsen Paul 
Published: August 2023

Abstract
Gastric perforations typically occur in the distal stomach, along the greater curvature or the antrum. The vast majority of upper gastrointestinal (GI) perforations are caused by peptic ulcer disease. We present a case of an atypical location of gastric perforation. A 31-year-old patient was experiencing nausea and severe abdominal pain. Explorative laparoscopy revealed a large fundal perforation. The patient underwent an abdominoplasty 5 days before with revisional surgery for hemorrhage. He had recently lost 42 kg after endoscopic sleeve gastroplasty (ESG) 8 months before. ESG is a minimally invasive alternative for bariatric surgery. Since its implementation, several studies have been published indicating the procedure as safe. However, some major adverse events, such as upper GI-bleeding, peri-gastric leak, and pneumoperitoneum, have been described. The atypical location of the perforation might be explained by a combination of events such as surgical stress, revisional surgery, major weight loss, and the history of ESG.
Retrospective comparison of false-positive result frequencies of 3 syphilis serology screening tests in pregnant and nonpregnant patients at an academic medical center in Appalachia
Authors: Yang Jianbo , Tacker Danyel H , Wen Sijin , LaSala P Rocco 
Published: August 2023

Abstract

Objective
This study retrospectively compared false-positive result frequencies of 3 syphilis serology screening tests and assessed whether false positivity was associated with pregnancy and age.

Methods
Results for 3 screening tests were retrieved from the laboratory database, including rapid plasma reagin (RPR) assay between October 2016 and September 2019, BioPlex 2200 Syphilis Total immunoassay between May 2020 and January 2022, and Alinity i Syphilis TP assay between February 2022 and April 2023. The false-positive result frequencies were calculated based on testing algorithm criteria.

Results
False-positive result frequency for BioPlex was 0.61% (90/14,707), significantly higher than 0.29% (50/17,447) for RPR and 0.38% (55/14,631) for Alinity (both P &lt; .01). Patients with false-positive results were significantly older than patients with nonreactive results for RPR (median age: 36 vs 28, P &lt; .001), but not for BioPlex or Alinity. For all 3 tests, the positive predictive values in pregnant women were lower than those in nonpregnant women or men. However, pregnant women did not exhibit a higher false-positive result frequency.

Conclusion
Although false-positive result frequencies were low overall for all 3 syphilis serology tests, there is a significant difference between different tests. Pregnancy was not associated with more false-positive results for all 3 tests.
Using Focused Ion Beam Time-of-Flight Secondary Ion Mass Spectrometry to Depth Profile Nanoparticles in Polymer Nanocomposites
Authors: Zhang Aria C , Maguire Shawn M , Ford Jamie T , Composto Russell J 
Published: August 2023

Abstract
Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is a versatile surface-sensitive technique for characterizing both hard and soft matter. Its chemical and molecular specificity, high spatial resolution, and superior sensitivity make it an ideal method for depth profiling polymeric systems, including those comprised of both inorganic and organic constituents (i.e., polymer nanocomposites, PNCs). To best utilize ToF-SIMS for characterizing PNCs, experimental conditions must be optimized to minimize challenges such as the matrix effect and charge accumulation. Toward that end, we have successfully used ToF-SIMS with a Xe+ focused ion beam to depth profile silica nanoparticles grafted with poly(methyl methacrylate) (PMMA-NP) in a poly(styrene-ran-acrylonitrile) matrix film by selecting conditions that address charge compensation and the primary incident beam angles. By tracking the sputtered Si+ species and fitting the resultant concentration profile, the diffusion coefficient of PMMA-NP was determined to be D = 2.4 × 10−14 cm2/s. This value of D lies between that measured using Rutherford backscattering spectrometry (6.4 × 10−14 cm2/s) and the value predicted by the Stokes–Einstein model (2.5 × 10−15 cm2/s). With carefully tuned experimental parameters, ToF-SIMS holds great potential for quantitatively characterizing the nanoparticles at the surfaces and interfaces within PNC materials as well as soft matter in general.
A Machine Learning Framework for Quantifying Chemical Segregation and Microstructural Features in Atom Probe Tomography Data
Authors: Saxena Alaukik , Polin Nikita , Kusampudi Navyanth , Katnagallu Shyam , Molina-Luna Leopoldo , Gutfleisch Oliver , Berkels Benjamin , Gault Baptiste , Neugebauer Jörg , Freysoldt Christoph 
Published: August 2023

Abstract
Atom probe tomography (APT) is ideally suited to characterize and understand the interplay of segregation and microstructure in modern multi-component materials. Yet, the quantitative analysis typically relies on human expertise to define regions of interest. We introduce a computationally efficient, multi-stage machine learning strategy to identify compositionally distinct domains in a semi-automated way, and subsequently quantify their geometric and compositional characteristics. In our algorithmic pipeline, we first coarse-grain the APT data into voxels, collect the composition statistics, and decompose it via clustering in composition space. The composition classification then enables the real-space segmentation via a density-based clustering algorithm, thus revealing the microstructure at voxel resolution. Our approach is demonstrated for a Sm–(Co,Fe)–Zr–Cu alloy. The alloy exhibits two precipitate phases with a plate-like, but intertwined morphology. The primary segmentation is further refined to disentangle these geometrically complex precipitates into individual plate-like parts by an unsupervised approach based on principle component analysis, or a U-Net-based semantic segmentation trained on the former. Following the composition and geometric analysis, detailed composition distribution and segregation effects relative to the predominant plate-like geometry can be readily mapped from the point cloud, without resorting to the voxel compositions.
Structural Identification and Observation of Dose Rate–Dependent Beam-Induced Structural Changes of Micro- and Nanoplastic Particles by Pair Distribution Function Analysis in the Transmission Electron Microscope (ePDF)
Authors: Rohner Christian , Pratsch Christoph , Schlögl Robert , Lunkenbein Thomas 
Published: August 2023

Abstract
Micro- and nanoplastics (MNPs) are considered a possible threat to microorganisms in the aquatic environment. Here, we show that total scattering intensity analysis of electron diffraction (ED) data measured by transmission electron microscopy, which yields the electron pair distribution function (ePDF), is a feasible method for the characterization and identification of MNPs down to 100 nm. To demonstrate the applicability, cryo ball–milled powders of the most common polymers [i.e., polyethylene , polypropylene, polyethylene terephthalate, and polyamide] and nano-sized polystyrene and silica spheres were used as model systems. The comparison of the experimentally determined reduced pair density functions (RDFs) with model RDFs derived from crystallographic data of the respective polymers allows the distinction of the different types of polymers. Furthermore, carbon-based polymers are highly beam-sensitive materials. The degradation of the samples under the electron beam was analyzed by conducting time-resolved ED measurements. Changes in the material can be visualized by the RDF analysis of the time-series of ED patterns, and information about the materials in question can be gained by this beam damage analysis. Prospectively, ePDF analytics will help to understand and study more precisely the input of MNPs into the environment.
Cellular Evidence for Telocytes Mediating Electroacupuncture to Ameliorate Obesity in Mice
Authors: Mei Lu , Zhu Qianmei , Bai Xuebing , Zhang Yingxin , Huang Haixiang , Yang Min , Shi Yonghong , Liang Chunhua , Zhang Zhenwei , Chen Qiusheng 
Published: August 2023

Abstract
Electroacupuncture has been generally applied to target obesity, the principle of which is based on the meridian in traditional Chinese medicine. Although Telocytes (TCs) have been reported as the potential essence of meridians, their specific role in the electroacupuncture treatment of obesity remains unclear. Thus, we investigated the cellular evidence for TC-mediated electroacupuncture to alleviate obesity. Mice were divided into three groups as follows: electroacupuncture group (EA), control group (CG), and normal group (NG). The present study showed that the weight of perirenal white adipose tissue (rWAT), the serum level of total cholesterol, and the low-density lipoprotein cholesterol were all significantly decreased after electroacupuncture. Ultrastructurally, the prolongations (telopodes, Tps) of TCs were in direct contact with adipocytes, and lipid droplets were distributed on the surface of Tps. The proportions of double-positive fluorescent areas of TCs (CD34 and PDGFRα) were significantly elevated with concomitant elongated Tps in EA mice, as compared to those in CG mice. The expression of Cx43 and CD63 (gap junction and exosome markers) was significantly enhanced. These characteristics facilitated the transmission of electroacupuncture stimulation from skin to rWAT. We conclude that electroacupuncture relieved obesity by activating TCs morphologically, upregulating the gap junctions between TCs, and increasing the exosomes around TCs.
Authentication and Quality Control of the Brazilian Traditional Herb “Espinheira-Santa” (Monteverdia ilicifolia) by Morpho-Anatomy and Microscopy
Authors: Antunes Kevin A , Monteiro Luciane M , Almeida Valter P , Monchak Irailson T , Perera Wilmer H , Heiden Gustavo , Guarino Ernestino S G , Santos Vera L P , Farago Paulo V , Raman Vijayasankar , Khan Ikhlas A , Manfron Jane 
Published: August 2023

Abstract
The leaves of Monteverdia ilicifolia (syn. Maytenus ilicifolia), commonly called espinheira-santa, are widely used in South American traditional medicines to treat gastritis and ulcers. Several products labeled as espinheira-santa are sold as dietary supplements in retail stores and via e-commerce. Many different species with similar leaf morphology are often mistaken for Monteverdia ilicifolia and used as espinheira-santa, including Monteverdia aquifolia (Celastraceae), Citronella gongonha (Cardiopteridaceae), Jodina rhombifolia (Santalaceae), Sorocea bonplandii (Moraceae), and Zollernia ilicifolia (Fabaceae). This study aimed to characterize M. ilicifolia and distinguish it from adulterants using morphological and microscopic techniques. In addition, foreign matter and powder characteristics of botanical materials sold as “espinheira-santa” were analyzed. The morphoanatomical studies of the leaves and stems of M. ilicifolia and its five adulterant species have revealed noteworthy features that can help species identification and quality control of commercial espinheira-santa. This study showed that many commercial espinheira-santa materials were adulterated and of inferior quality.
What can be learnt from a highly informative X-ray occultation event in NGC 6814? A marvellous absorber
Authors: Kang Jia-Lai , Wang Jun-Xian , Fu Shu-Qi 
Published: August 2023

ABSTRACT
A unique X-ray occultation event in NGC 6814 during an XMM–Newton observation in 2016 has been reported, providing useful information of the absorber and the corona. We revisit the event with the aid of the hardness ratio (HR)–count rate (CR) plot and comparison with two other absorption-free XMM exposures in 2009 and 2021. NGC 6814 exhibits a clear ‘softer-when-brighter’ variation pattern during the exposures, but the 2016 exposure significantly deviates from the other two in the HR–CR plot. While spectral fitting does yield transient Compton-thin absorption corresponding to the eclipse event in 2016, rather than easing the tension between exposures in the HR–CR plot, correcting the transient Compton-thin absorption results in new and severe deviation within the 2016 exposure. We show that the eclipsing absorber shall be clumpy (instead of a single Compton-thin cloud), with an inner denser region composed of both Compton-thin and Compton-thick clouds responsible for the previously identified occultation event, and an outer sparser region with Compton-thin clouds which eclipses the whole 2016 exposure. With this model, all the tension in the HR–CR plots could be naturally erased, with the observed spectral variability during the 2016 exposure dominated by the variation of absorption. Furthermore, the two warm absorbers (with different ionization and column densities but similar outflowing velocities) detected in the 2016 exposure shall also associate with the transient absorber, likely due to ablated or tidal stretched/disrupted fragments. This work highlights the unique usefulness of the HR–CR plot while analysing rare occultation events.
EDGE: the shape of dark matter haloes in the faintest galaxies
Authors: Orkney Matthew D A , Taylor Ethan , Read Justin I , Rey Martin P , Pontzen A , Agertz Oscar , Kim Stacy Y , Delorme Maxime 
Published: August 2023

ABSTRACT
Collisionless dark matter only (DMO) structure formation simulations predict that dark matter (DM) haloes are prolate in their centres and triaxial towards their outskirts. The addition of gas condensation transforms the central DM shape to be rounder and more oblate. It is not clear, however, whether such shape transformations occur in ‘ultra-faint’ dwarfs, which have extremely low baryon fractions. We present the first study of the shape and velocity anisotropy of ultra-faint dwarf galaxies that have gas mass fractions of fgas(r &lt; Rhalf) &lt; 0.06. These dwarfs are drawn from the Engineering Dwarfs at Galaxy formation’s Edge (EDGE) project, using high-resolution simulations that allow us to resolve DM halo shapes within the half-light radius (∼100 pc). We show that gas-poor ultra-faints (M200c ≤ 1.5 × 109 M⊙; fgas &lt; 10−5) retain their pristine prolate DM halo shape even when gas, star formation, and feedback are included. This could provide a new and robust test of DM models. By contrast, gas-rich ultra-faints (M200c &gt; 3 × 109 M⊙; fgas &gt; 10−4) become rounder and more oblate within ∼10 half-light radii. Finally, we find that most of our simulated dwarfs have significant radial velocity anisotropy that rises to $\tilde{\beta } \gt 0.5$ at R ≳ 3Rhalf. The one exception is a dwarf that forms a rotating gas/stellar disc because of a planar, major merger. Such strong anisotropy should be taken into account when building mass models of gas-poor ultra-faints.