Diagnostic Accuracy of Serological Tests for Infections in Children with Pneumonia, Based on Symptom Onset.

Background: is a major cause of community-acquired pneumonia (CAP) in children, with a rising incidence of macrolide resistance. Early diagnosis is crucial for reducing the disease burden; however, current diagnostic tools have limitations. We evaluated the diagnostic accuracy of serological assays and their performance based on symptom onset in children with CAP.

Injury risk and epidemiology of pickleball players in South Korea: a cross-sectional study.

Background: Pickleball is rapidly growing in popularity, yet limited research exists regarding injury epidemiology and associated risk factors, particularly in South Korea. This study aimed to investigate the prevalence, characteristics, and predictors of injuries among recreational pickleball players.

Methods: A cross-sectional survey was conducted during the 1st HEAD Korea Open Pickleball Championship in 2024, with 232 participants (mean age 50.

Frequency Switching Neuristor for Realizing Intrinsic Plasticity and Enabling Robust Neuromorphic Computing.

The human brain's efficiency and adaptability in processing information is largely attributed to spatiotemporal spiking activities and intrinsic plasticity-the ability of neurons to autonomously modulate their excitability. Mott memristors, with their threshold switching characteristics, have been effectively utilized as artificial neurons, or neuristors, to generate spiking activities. However, the implementation of intrinsic plasticity and its significance in neuromorphic computing has yet to be systematically explored.

A novel early imaging biomarker for glymphatic function: Cerebral cortical arterial pulsatility index from 2-Minute phase-contrast MRI.

Background: Arterial pulsatility is one of the driving forces of glymphatic flow.

Objectives: To evaluate the feasibility of the pulsatility index (PI) of cortical arteries in the centrum semiovale (PI) as a novel non-invasive imaging biomarker for Alzheimer's disease (AD) in the context of glymphatic function.

Design: Retrospective cross-sectional study.

Oral and Gut Dysbiosis in Migraine: Oral Microbial Signatures as Biomarkers of Migraine.

Background And Objectives: Emerging evidence suggests that oral health conditions may exacerbate migraine, and saliva is a potential source of biomarkers for migraine. The 3-way interaction of the oral-gut-brain axis has been implicated in several neurologic disorders, but has rarely been studied in migraine. This study examined the oral and gut microbiomes simultaneously and identified several key oral microbes that may influence migraine.

Clinical impairments associated with ankle disability in patients with acute lateral ankle sprain.

Background: Acute lateral ankle sprains (ALAS) are common musculoskeletal injuries among physically active individuals. While various impairments occur following ALAS, limited information is available on the factors contributing to ankle disability. This study aimed to investigate the association between the clinical impairments and ankle disability in patients with ALAS.

Corticospinal and Spinal-reflex Excitability during Unipedal Stance following Acute Lateral Ankle Sprain.

Background: Acute lateral ankle sprains (ALAS) are linked to altered spinal-reflexive excitability that may predicate sensorimotor dysfunction. However, sensorimotor control is influenced by spinal and supraspinal mechanisms, necessitating examination of each following ALAS. We aimed to investigate the effects of ALAS on neural excitability during unipedal stance, relating these neural adaptations to clinical outcomes.

Impact of Age at Narcolepsy Onset on Sleep-Onset REM Periods in the Multiple Sleep Latency Test.

This study aimed to investigate the effect of age at symptom onset on rapid eye movement (REM) sleep latency and sleep-onset REM period (SOREMP) distribution in multiple sleep latency tests (MSLTs) in patients with narcolepsy. : This was a retrospective multicenter chart review of 135 newly diagnosed drug-naïve patients with narcolepsy who underwent MSLT and fulfilled the diagnostic criteria for narcolepsy. The age at onset was defined as the first occurrence of excessive daytime sleepiness or cataplexy.

Assessment of Interdental Space and Satisfaction Change in Interdental Toothbrush Size Application and Usage According to Interdental Gap Measurement.

Purpose: To investigate the impact of interdental toothbrush size on subjective satisfaction among users.

Materials And Methods: A survey was conducted among interdental toothbrush users visiting a dental clinic in Busan, South Korea. Participants were asked about their interdental toothbrush usage and satisfaction levels.

Factors associated with diagnostic delay in narcolepsy: Real-world data from a Korean multicenter study.

Background And Objective: Narcolepsy is a rare chronic neurological disorder characterized by a pentad of symptoms: excessive daytime sleepiness, cataplexy, hypnagogic hallucination, sleep paralysis, and disturbed nighttime sleep. Narcolepsy begins in children and adolescents, yet most patients experience a diagnostic delay. We investigated this diagnostic delay and the factors contributing to it in Korean narcolepsy patients.

Patch-type wearable electrocardiography and impedance pneumography for sleep staging: A multi-modal deep learning approach.

Sleep staging is critical for investigating sleep quality and detecting disorders. Polysomnography (PSG) remains the gold standard, but is costly and impractical for routine monitoring. This study evaluates the feasibility of a patch-type wearable device using single-lead electrocardiography (ECG) and impedance pneumography (IPG) for multi-stage sleep classification.

Gene Affects Hippocampal Sclerosis in Mesial Temporal Lobe Epilepsy.

: Hippocampal sclerosis (HS) is a hallmark of mesial temporal lobe epilepsy (MTLE). However, genetic studies on MTLE patients with HS (MTLE-HS) remain limited, especially in East Asian populations. This study aimed to identify genetic variants associated with MTLE-HS and elucidate their biological relevance through integrative genomic and transcriptomic analyses.

Gold nanoparticle-facilitated assembly via supernatant transfer as a colorimetric SELEX and sensing platform for cortisol.

Accurate and selective detection of cortisol, a key biomarker for stress and metabolic health, is essential for diagnostics and healthcare. Single-stranded DNA (ssDNA) aptamers hold great promise for small molecule detection, yet conventional systematic evolution of ligands by exponential enrichment (SELEX) methods are often hindered by invisible screening and restricted conjugation capabilities. Here, we report a rapid and straightforward approach for cortisol aptamer discovery and determination using gold nanoparticle-facilitated assembly via supernatant transfer (GNP-FAST) coupled with GNP-SELEX.

Multimodal deep learning model for prediction of prognosis in central nervous system inflammation.

Inflammatory diseases of the CNS impose a substantial disease burden, necessitating prompt and appropriate prognosis prediction. We developed a multimodal deep learning model integrating clinical features and brain MRI data to enhance early prognosis prediction of CNS inflammation. This retrospective study used thin-cut T1-weighted brain MRI scans and the clinical variables of patients with CNS inflammation who were admitted to a tertiary referral hospital between January 2010 and December 2023.

Intraoperative Language Area Mapping: Cortico-Cortical Evoked Potential.

Since the cortico-cortical evoked potential (CCEP) was first introduced in 2004, CCEP monitoring has been utilized in various types of brain surgery to achieve maximal safe resection (MSR). MSR is the primary goal in improving the prognosis of glioma; however, this is particularly challenging when the tumor is located around eloquent areas. Since the complexity of the language network system makes it more difficult to achieve MSR, language area mapping is essential when tumors are located around these areas.

Understanding silver structural rearrangement on zeolite Y for methyl iodide capture in nuclear safety system.

To enhance nuclear power safety, the adsorptive passive capture of emitted radioactive organic iodine under harsh conditions is essential. Silver states and CHI reactive adsorption on silver zeolite Y were studied under simulated accident conditions (10 ppm CHI at 7 bar, 0-80 % RH, and 150 °C). The roles of Ag⁺ ions, silver clusters, and external silver aggregates in silver zeolite Y during CHI capture were analyzed.

Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis.

Edge computing devices, which generate, collect, process, and analyze data near the source, enhance the data processing efficiency and improve the responsiveness in real-time applications or unstable network environments. To be utilized in wearable and skin-attached electronics, these edge devices must be compact, energy efficient for use in low-power environments, and fabricable on soft substrates. Here, we propose a flexible memristive dot product engine (f-MDPE) designed for edge use and demonstrate its feasibility in a real-time electrocardiogram (ECG) monitoring system.

The First Complete Chloroplast Genome of Spider Flower ( Providing a Genetic Resource for Understanding Cleomaceae Evolution.

In the present study, the sequencing and analysis of the complete chloroplast genome of and its comparison with related species in the Cleomaceae family were carried out. The genome spans 157,714 base pairs (bp) and follows the typical chloroplast structure, consisting of a large single-copy (LSC) region (87,506 bp), a small single-copy (SSC) region (18,598 bp), and two inverted repeats (IRs) (25,805 bp each). We identified a total of 129 genes, including 84 protein-coding genes, 8 ribosomal RNA (rRNA) genes, and 37 transfer RNA (tRNA) genes.

Enantioselective Se lattices for stable chiroptoelectronic processing media.

Chiroptoelectronic devices are crucial for applications in quantum computing, spin optical communications, and magnetic recording. However, the limited efficiency and low stability of conventional circularly polarized light (CPL)-sensing materials have restricted their broader use. Here, we introduce atomic chiral Se nanorod (NRs) films as broadband CPL detectors, leveraging the intrinsic chirality and stability of Se nanocrystals.

Identification and evaluation of low-pH-tolerant Cheongcheong/Nagdong-double haploid rice lines via QTL analysis.

Low soil pH (acidic soil) is one of the most severe environmental constraints that severely inhibits crop production. Here, we screened 134 lines of the Cheongcheong/Nagdong Double Haploid (CNDH) rice population under low pH conditions to uncover candidate QTLs and identify low pH-resistant lines. A total of 17 QTLs against shoot length, root length and standard evaluation score in response to low pH were identified on 8 chromosomes (1, 2, 6, 7, 8, 9, 10, and 12).

Carbide-Induced Thermal Shock Synthesis of High-Entropy Alloy Nanoparticles Anchored on WO Nanofibers for High-Performance Gas Sensors.

The synthesis of high-entropy alloy nanoparticles (HEA NPs) on oxide supports with a uniform and homogeneous distribution has been a significant challenge in traditional carbothermal shock (CTS) methods. In this study, we introduce a carbide-induced thermal shock (CITS) process for synthesizing HEA NPs anchored on tungsten trioxide (WO) nanofibers. Utilizing one-dimensional (1D) tungsten carbide (WC) nanofibers (NFs) as scaffolds, we facilitated their oxidation to WO while preserving structural integrity.

Unraveling the Complexities of Flowering in Ornamental Plants: The Interplay of Genetics, Hormonal Networks, and Microbiome.

In ornamental plants, one of the most complex life processes, i.e., flowering, is regulated by interaction between the microbiota, hormones, and genes.

A Neuransistor with Excitatory and Inhibitory Neuronal Behaviors for Liquid State Machine.

A liquid state machine (LSM) is a spiking neural network model inspired by biological neural network dynamics designed to process time-varying inputs. In the LSM, maintaining a proper excitatory/inhibitory (E/I) balance among neurons is essential for ensuring network stability and generating rich temporal dynamics for accurate data processing. In this study, a "neuransistor" is proposed that implements the E/I neurons in a single device, allowing for the hardware implementation of the LSM.