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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits

Diabetic ketoacidosis and hyperglycemic hyperosmolar state are associated with higher in-hospital mortality and morbidity in diabetes patients hospitalized with ST-elevation myocardial infarction, but not within 30 days of readmission

Background While the cardiovascular risk of hyperglycemia has been thoroughly elucidated in patients with type 2 diabetes (T2DM) hospitalized for myocardial infarction, the evidence surrounding acute severe hyperglycemia is less well-established. Our study aimed to explore the impact of diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS), both severe hyperglycemic conditions, on cardiovascular outcomes in patients with T2D admitted for ST-elevation myocardial infarction (STEMI). Methods We used the National Readmission Database (2016–2019) to extract patients with T2DM and STEMI at baseline. Subsequently, we selected cases of DKA and HHS. The primary endpoint was in-hospital mortality. Secondary endpoints included in-hospital acute renal failure, cardiogenic shock, and 30-day readmission and mortality. Results The presence of DKA increased the adjusted odds of mortality and cardiogenic shock by almost 2-fold (adjusted Odds Ratios aOR = 2.30 [1.70–3.12], 2.055 [1.602–2.637], respectively) and renal failure by nearly 5-fold (aOR = 5.175 [4.090–6.546]). HHS was also associated with higher odds of mortality, acute renal failure, and cardiogenic shock. In 30 days, DKA and HHS increased the risk of readmission (aOR = 1.815 [1.449–2.75], 1.751 [1.376–2.228], respectively). There were no differences in the rates of cardiovascular disease, mortality, or other cardiovascular events between DKA and HHS patients. Within 30 days of readmission, DKA and HHS were associated with higher odds of readmission but not mortality. Cardiovascular disease was the most common etiology of readmission in all patients. The incidence of non-STEMI was the highest in DKA patients, and the incidence of STEMI was the highest in the HHS group. Conclusion The presence of diabetic ketoacidosis or hyperglycemic hyperosmolar state is associated with higher odds of mortality, renal failure, cardiogenic shock, and 30-day readmission in STEMI patients with type 2 diabetes, highlighting the need for enhanced clinical management and monitoring of patients experiencing acute hyperglycemia.

Community perceptions and determinants of obstetric fistula across gender lines

Volcanically forced Madden–Julian oscillation triggers the immediate onset of El Niño

An interpretative phenomenological study about maternal perceptions of cesarean birth

Aim To explore the perceptions of Jordanian primipara and para 1 women regarding Cesarean section delivery and provide insights for clinical practice, policy development, and future research to optimize maternity care practices and outcomes in Jordan and similar contexts. Background Global Cesarean section (CS) rates have risen steadily over recent decades. Jordan has witnessed a significant increase in CS rates. This trend has sparked interest in understanding the underlying factors behind this phenomenon and the perceptions surrounding CS delivery. Understanding these factors is essential for informing healthcare practices and promoting optimal maternal and neonatal health outcomes. Methods Forty-one primipara and para 1 women were interviewed within seven focus groups. The analysis was conducted using interpretative phenomenological analysis with the assistance of the NVivo 12 software program. Results Three main themes were identified: The Foundation of Women’s Knowledge and Cognitive Structures; The Influential Parties in Shaping Women’s Perceptions; and Transforming Perception into Action. Discussion To offer empathetic, comprehensive, and patient-centered care, healthcare professionals should discuss delivery options with pregnant mothers and factor in maternal preferences and perceptions. This study underscores the importance of supportive dialogue and informed decision-making in maternity care, advocating for a more individualized approach to childbirth.

Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators

A visual cortical-lateral posterior thalamic nucleus circuit regulates depressive-like behaviors in male mice

Online selfie behavior and consideration of cosmetic surgery in teenage girls: The mediating roles of appearance comparisons and body dissatisfaction

Although cosmetic surgery can repair functional impairments caused by deformities, improve appearance, and enhance self-esteem, it also carries certain risks, complications, and even death. To reduce the risks to life and property caused by repetitive or inappropriate procedures, it is important to identify the prerequisites that lead individuals to pursue cosmetic surgery. Some studies have shown a significant association between selfies and cosmetic surgery consideration, with prior research focusing on offline selfie behaviors rather than the relationship between online selfies (including posting and viewing selfies) and consideration of cosmetic surgery. From the perspective of online selfie behaviors, this study explores the relationship between online selfie behaviors and consideration of cosmetic surgery, as well as its internal mechanisms. The study included 762 teenage girls with an average age of 16.85 years who completed the Online Selfie Behavior, Appearance Comparison, Body Dissatisfaction, and Consideration of Cosmetic Surgery scales. Structural equation modeling (SEM) was used to examine the direct and indirect relationships between posting or viewing selfies and willingness to undergo cosmetic surgery. The results of the current study indicate that viewing selfies on social media, rather than posting them, is a key factor affecting consideration of cosmetic surgery, and this influence occurs directly or indirectly through appearance comparison and body dissatisfaction. This suggests that in the current era of frequent social media activities, a more relaxed social and cultural environment and diverse aesthetic standards are necessary. Parents and educational psychologists should focus on guiding girls to develop positive body image, carefully considering the impact of selfie images on body dissatisfaction in teenage girls on social media, and the resulting demand for beauty products and cosmetic surgery.

Quadrupolar excitons in MoSe2 bilayers

Abstract The quest for platforms to generate and control exotic excitonic states has greatly benefited from the advent of transition metal dichalcogenide (TMD) monolayers and their heterostructures. Among the unconventional excitonic states, quadrupolar excitons—a superposition of two dipolar excitons with anti-aligned dipole moments—are of great interest for applications in quantum simulations and for the investigation of many-body physics. Here, we unambiguously demonstrate the emergence of quadrupolar excitons in natural MoSe2 homobilayers, whose energy shifts quadratically in electric field. In contrast to trilayer systems, MoSe2 homobilayers have many advantages, which include a larger coupling between dipolar excitons. Our experimental observations are complemented by many-particle theory calculations offering microscopic insights in the formation of quadrupolar excitons. Our results suggest TMD homobilayers as ideal platform for the engineering of excitonic states and their interaction with light and thus candidate for carrying out on-chip quantum simulations.

Pulsed vector atomic magnetometer using an alternating fast-rotating field

Abstract We introduce a vector atomic magnetometer that employs a fast-rotating magnetic field applied to a pulsed 87Rb scalar atomic magnetometer. This approach enables simultaneous measurements of the total magnetic field and its two polar angles relative to the rotation plane. Operating in gradiometer mode, the magnetometer achieves a total field gradient sensitivity of 35 $${{{\rm{fT}}}}/\sqrt{{{{\rm{Hz}}}}}$$ fT / Hz (0.7 parts per billion) and angular resolutions of 6 $${{{\rm{nrad}}}}/\sqrt{{{{\rm{Hz}}}}}$$ nrad / Hz at a 50 μT Earth field strength. The noise spectra remain flat down to 1 Hz and 0.1 Hz, respectively. Here we show that this method overcomes several metrological challenges commonly faced by vector magnetometers and gradiometers. We propose a unique peak-altering modulation technique to mitigate systematic effects, including a newly identified dynamic heading error. Additionally, we establish the fundamental sensitivity limits of the sensor, demonstrating that its vector sensitivity approaches scalar sensitivity while preserving the inherent accuracy and calibration benefits of scalar sensors. This high-dynamic-range, ultrahigh-resolution magnetometer offers exceptional versatility for diverse applications.

UV-induced reorganization of 3D genome mediates DNA damage response

PIN2-mediated self-organizing transient auxin flow contributes to auxin maxima at the tip of Arabidopsis cotyledons

Flat-band enhanced antiferromagnetic fluctuations and superconductivity in pressurized CsCr3Sb5

Electrical mutual switching in a noncollinear-antiferromagnetic–ferromagnetic heterostructure

Coalescence of carbon nanotubes while preserving the chiral angles

Abstract Atomically precise coalescence of graphitic nanocarbon molecules is one of the most challenging reactions in sp 2 carbon chemistry. Here, we demonstrate that two carbon nanotubes with the same chiral indices (n, m) are efficiently coalesced into a single (2n, 2 m) nanotube with preserved chiral angles via heat treatment at less than 1000 °C. The (2n, 2 m) nanotubes constitute up to ≈ 20%–40% of the final sample in the most efficient case. Additional optical absorption peaks of the (2n, 2 m) nanotubes emerge, indicating that the reaction occurs over the entire sample. The reaction efficiency strongly depends on the chiral angle, implying that C–C bond cleavage and recombination occurs sequentially. Furthermore, the reaction occurs efficiently even at 600 °C in an atmosphere containing trace amounts of oxygen. These findings offer routes for the structure-selective synthesis of large-diameter nanotubes and modification of the properties of nanotube assemblies via postprocessing.

Marine species and assemblage change foreshadowed by their thermal bias over Early Jurassic warming

Abstract A mismatch of species’ thermal preferences to their environment may indicate how they will respond to future climate change. Averaging this mismatch across species may forewarn that some assemblages will undergo greater reorganization, extirpation, and possibly extinction, than others. Here, we examine how regional warming determines species occupancy and assemblage composition of marine bivalves, brachiopods, and gastropods over one-million-year time steps during the Early Jurassic. Thermal bias, the difference between modelled regional temperatures and species’ long-term thermal optima, predicts a gradient of species occupancy response to warming. Species that become extirpated or extinct tend to have cooler temperature preferences than immigrating species, while regionally persisting species fell midway. Larger regional changes in summer seawater temperatures (up to +10 °C) strengthen the relationship between species thermal bias and the response gradient, which is also stronger for brachiopods than for bivalves, while the relationship collapses during severe seawater deoxygenation. At +3 °C regional seawater warming, around 5 % of pre-existing benthic species in a regional assemblage are extirpated, and immigrating species comprise around one-fourth of the new assemblage. Our results validate thermal bias as an indicator of immigration, persistence, extirpation, and extinction of marine benthic species and assemblages under modern-like magnitudes of climate change.

Guest-induced structural transformation of single-crystal 3D covalent organic framework at room and high temperatures

A biallelically active embryonic enhancer dictates GNAS imprinting through allele-specific conformations

An oligodendrocyte silencer element underlies the pathogenic impact of lamin B1 structural variants

Deep empirical neural network for optical phase retrieval over a scattering medium

Abstract Supervised learning, a popular tool in modern science and technology, thrives on huge amounts of labeled data. Physics-enhanced deep neural networks offer an effective solution to alleviate the data burden by incorporating an analytical model that interprets the underlying physical processes. However, it completely fails in tackling systems without analytical solution, where wave scattering systems with multiple input multiple output are typical examples. Herein, we propose a concept of deep empirical neural network (DENN) that is a hybridization of a deep neural network and an empirical model, which enables seeing through an opaque scattering medium in an untrained manner. The DENN does not rely on labeled data, all while delivering as high as 58% improvement in fidelity compared with the supervised learning using 30000 data pairs for achieving the same goal of optical phase retrieval. The DENN might shed new light on the applications of deep learning in physics, information science, biology, chemistry and beyond.