2 × 2 MIMO dual-wideband ground radiation antenna with a T-shaped isolator for Wi-Fi 6/6E/7 applications.

In this paper, a miniaturized 2 × 2 MIMO dual-wideband ground radiation antenna targeting Wi-Fi 6/6E/7 standards using 2.4 GHz, 5 GHz, and 6 GHz frequency bands with sufficient antenna performance was designed. The proposed antenna system contains four identical 4 mm × 6 mm antennas of the internal loop type and two identical 6 mm × 6 mm isolators containing lumped LC elements.

Model-free current control solution employing intelligent control for enhanced motor drive performance.

The study presents an intelligent, model-free current control strategy that eliminates the need for explicit plant models while efficiently reducing the effect of plant parameter perturbation. By employing a data-driven approach with fewer input features, the proposed scheme reduces the computational burden during training while maintaining high control performance. Unlike conventional model predictive current control (MPCC), which is computationally expensive because of solving optimization problems at each sample time, and requires precise plant models, the proposed method enhances system performance by addressing plant model discrepancies through data-driven techniques.

Machine learning for early detection and severity classification in people with Parkinson's disease.

Early detection of Parkinson's disease (PD) and accurate assessment of disease progression are critical for optimizing treatment and rehabilitation. However, there is no consensus on how to effectively detect early-stage PD and classify motor symptom severity using gait analysis. This study evaluated the accuracy of machine learning models in classifying early and moderate-stages of PD based on spatiotemporal gait features at different walking speeds.

Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma.

Next Generation Sequencing-based subtyping and interim- and end of treatment positron emission tomography (i/eot-PET) monitoring have high potential for upfront and on-treatment risk assessment of diffuse large B-cell lymphoma patients. We performed Dana Farber Cancer Institute (DFCI) and LymphGen genetic subtyping for the HOVON84 (n = 208, EudraCT-2006-005174-42) and PETAL (n = 204, EudraCT-2006-001641-33) trials retrospectively combined with DFCI genetic data (n = 304). For all R-CHOP treated patients (n = 592), C5/MCD- and C2/A53-subtypes show significantly worse outcome independent of the international prognostic index.

Crystal structure of Au-pseudocarbyne(C).

Carbyne-related materials permit exploring the potentially extraordinary properties of this long-sought but still elusive carbon allotrope. However, accurate understanding of these materials is challenging. Here we report the crystal structure of a Au-pseudocarbyne, a representative of a possible new family of materials consisting of sp-hybridized carbon chains and stabilizing metal atoms.

Magnetic field control over the axial character of Higgs modes in charge-density wave compounds.

Understanding how symmetry-breaking processes generate order out of disorder is among the most fundamental problems of nature. The scalar Higgs mode - a massive (quasi-) particle - is a key ingredient in these processes and emerges with the spontaneous breaking of a continuous symmetry. Its related exotic and elusive axial counterpart, a Boson with vector character, can be stabilized through the simultaneous breaking of multiple continuous symmetries.

Multi-modal conditional diffusion model using signed distance functions for metal-organic frameworks generation.

The design of porous materials with user-desired properties has been a great interest for the last few decades. However, the flexibility of target properties has been highly limited, and targeting multiple properties of diverse modalities simultaneously has been scarcely explored. Furthermore, although deep generative models have opened a new paradigm in materials generation, their incorporation into porous materials such as metal-organic frameworks (MOFs) has not been satisfactory due to their structural complexity.

Modulating synaptic plasticity with metal-organic framework for information-filterable artificial retina.

Neuroprosthetics equipped with artificial synapses hold promise to address some most intricate medical problems, such as human sensory disorders. Yet, it is necessitated and of paramount importance for neuroprosthetics to be able to differentiate significant and insignificant signals. Here, we present an information-filterable artificial retina system that integrates artificial synapses with a signal-integration device for signal perception and processing with attention.

Multiphase superconductivity in PdBi.

Unconventional superconductivity, where electron pairing does not involve electron-phonon interactions, is often attributed to magnetic correlations in a material. Well known examples include high-T cuprates and uranium-based heavy fermion superconductors. Less explored are unconventional superconductors with strong spin-orbit coupling, where interactions between spin-polarised electrons and external magnetic field can result in multiple superconducting phases and field-induced transitions between them, a rare phenomenon in the superconducting state.

Substantially Improving CO Permeability and CO/CH Selectivity of Matrimid Using Functionalized-TiCT.

Mixed-matrix membranes (MMMs) with favorable interfacial interactions between dispersed and continuous phases offer a promising approach to overcome the traditional trade-off between permeability and selectivity in membrane-based gas separation. In this study, we developed free-standing MMMs by embedding pristine and surface-modified TiCT MXenes into Matrimid 5218 polymer for efficient CO/CH separation. Two-dimensional TiCT with adjustable surface terminations provided control over these critical interfacial interactions.

Reconfigurable Sequential-Logic-in-Memory Implementation Utilizing Ferroelectric Field-Effect Transistors.

In modern digital systems, sequential logic circuits store and process information over time, whereas combinational logic circuits process only the current inputs. Conventional sequential systems, however, are complex and energy-inefficient due to the separation of volatile and nonvolatile memory components. This study proposes a compact, nonvolatile, and reconfigurable van der Waals (vdW) ferroelectric field-effect transistor (FeFET)-based sequential logic-in-memory (S-LiM) unit that performs sequential logic operations in two nonvolatile states.

Consumer perceptions of 'traditional doenjang' using a free word association test.

Background: Doenjang (fermented soybean paste) is a traditional Korean ingredient that has long been part of Korean cuisine. Commercial, mass-produced doenjang products are prevalent in the Korean market, and consumer demand for traditionally produced doenjang is steadily decreasing. An understanding of consumers' perceptions of traditional doenjang can serve as a foundation for sales and marketing strategies that are informed by consumer insights.

Longitudinal Trajectory of Dopamine and Serotonin Transporters in Parkinson Disease.

Parkinson disease (PD) is a multisystem disorder marked by progressive dopaminergic neuronal degeneration in the substantia nigra, as well as nondopaminergic systems. Our aim was to investigate longitudinal changes in -(3-[F]fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)nortropane (F-FP-CIT) binding at the putamen, substantia nigra, and raphe nuclei in PD. This retrospective cohort study enrolled 127 patients with PD, who underwent F-FP-CIT PET scans twice or more, and 71 age- and sex-matched healthy controls.

Large-Area Transfer of Nanometer-Thin C Films.

Fullerenes, with well-defined molecular structures and high scalability, hold promise as fundamental building blocks for creating a variety of carbon materials. The fabrication and transfer of large-area films with precisely controlled thicknesses and morphologies on desired surfaces are crucial for designing and developing fullerene-based materials and devices. In this work, we present strategies for solid-state transferring C molecular nanometer-thin films, with dimensions of centimeters in lateral size and thicknesses controlled in the range of 1-20 nm, onto various substrates.

Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data.

Objective: Trauma resuscitation is the initial evaluation and management of injured patients in the emergency department. This time-critical process requires the simultaneous pursuit of multiple resuscitation goals. Recognizing whether the required goal is being pursued can reduce errors in goal-related task performance and improve patient outcomes.

Circulatory age-associated B cells: Their distinct transcriptomic characteristics and clinical significance in drug-naïve patients with rheumatoid arthritis.

Age-associated B cells (ABCs) have been implicated in the pathogenesis of autoimmune diseases. However, the global gene expression and clinical significance of circulatory ABCs in rheumatoid arthritis (RA) remain poorly understood. Here, single-cell RNA sequencing identified nine B cell subsets in peripheral blood of RA patients, including ABCs.

Performance of new race-free eGFR equations for predicting complications in chronic kidney disease: From the KNOW-CKD study.

Background The National Kidney Foundation (NKF) and the American Society of Nephrology (ASN) developed new race-free eGFR equations and recommended using these new equations in 2021. However, clinical implication of these new equations is not determined in Korean adults. Thus, this study aimed to evaluate performances of these new race-free eGFR equations in predicting complications in Korean chronic kidney disease (CKD) patients.

A closer look at housing market actors' dynamics in responses to sea level rise in Miami-Dade, Florida.

Sea level rise (SLR) dynamics pose significant challenges to coastal residential markets, including the likelihood of property valuation disruptions and the relocation of coastal populations from areas of high risk to safer inland locales. Understanding its impact on the residential markets of coastal cities is essential for developing adaptation and mitigation strategies. Existing studies primarily focus on property prices to observe risk factors, which limits the ability to capture the diverse behaviors and responses of market participants, including sellers, buyers, and lenders, to climate change impacts.

Electrokinetic Enhancement of Membrane Techniques for Efficient Nanoparticle Separation and Preconcentration.

Efficient separation and preconcentration of nanoparticles are crucial in a wide range of biomedical applications, particularly as target substances continue to diminish in size. In this study, we introduce an electric field-assisted membrane system that synergistically combines oversized-pore membranes with an electrokinetic particle retention mechanism. Utilizing Ti/Au-coated poly(tetrafluoroethylene) (PTFE) membranes, our approach generates electrokinetic forces to effectively separate and retain charged nanoparticles even smaller than the pores, achieving a separation efficiency over 99% and a preconcentration factor of 1.

Interrogation of Enantioselectivity in the Photomediated Ring Contractions of Saturated Heterocycles.

We recently reported a chiral phosphoric acid (CPA) catalyzed enantioselective photomediated ring contraction of piperidines and other saturated heterocycles. By extruding a single heteroatom from a ring, this transformation builds desirable C(sp)-C(sp) bonds in the ring contracted products; however, the origins of enantioselectivity remain poorly understood. In this work, enantioselectivity of the ring contraction has been explored across an expanded structurally diverse substrate scope, revealing a wide range of enantioselectivities (0-99%) using two distinct CPA catalysts.

Prescribing Trends of Antidiabetes Medications Near End-of-Life Among Adults With Type 2 Diabetes: A Cohort Study.

Objective: To assess prescribing trends of antidiabetes medications in the last year of life among older adults with type 2 diabetes (T2D) and explore whether frailty is associated with differential prescribing.

Research Design And Methods: In this observational cohort study of Medicare beneficiaries aged ≥67 years (2015-2019) with T2D, we assessed temporal trends in prescribing an antidiabetes medication, stratified by frailty. The main outcome included antidiabetes medication fills within 1 year of death.

Collaborative activities in a biological dosimetry network for radiation emergencies in South Korea.

Purpose: Biological dosimetry is an essential analytic method to estimate the absorbed radiation dose in the human body by measuring changes in biomolecules after radiation exposure. Joint response in a network to mass-casualty radiation incidents is one way to overcome the limitations of biological dosimetry, sharing the workload among laboratories. This study aimed to investigate the current performance, collaborative activities and technical advances of the Korea biodosimetry network (K-BioDos), and suggest the future directions toward successful joint response.

Impact of posterior septectomy on olfaction in endoscopic endonasal transsphenoidal surgery.

Background: Endoscopic endonasal transsphenoidal surgery is widely used to resect pituitary adenomas, yet its impact on olfactory function after resection of the posterosuperior nasal septum remains a concern. To optimize surgical techniques to preserve olfactory function, it is essential to understand the relationship between the extent of septal resection and olfactory outcomes.

Methods: This retrospective study analyzed 295 patients who underwent pituitary adenoma surgery.