Publications by authors named "Jang Yoon"

Background: Prior prospective studies have demonstrated the efficacy of poly(adenosine diphosphate-ribose) polymerase inhibitors (PARPis) in various cancers with mutations in the breast cancer gene (), such as ovarian and breast cancers. However, PARPi have also been associated with an increased incidence of therapy-related myeloid neoplasms (t-MNs). This study aimed to investigate the incidence of t-MNs following PARPi therapy in patients with ovarian or primary peritoneal cancer in Korea and to identify related risk factors.

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Background/objectives: Late-onset hypogonadism (LOH), characterized by declining testosterone levels with age, negatively affects the health of men, causing physical, psychological, and sexual dysfunction. Conventional testosterone replacement therapies have side effects, which has led to interest in natural alternatives. We investigated the effects of a standardized fermented extract (FME) on oxidative stress-induced damage in TM3 Leydig and TM4 Sertoli cells.

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Understanding gene function is important for crop improvement and breeding efforts, especially in a genetically complex polyploid plant species such as the octoploid strawberry. -mediated transient assays are a widely used tool for investigating gene functions and offer a reliable alternative to stable transformation. However, variability in tissue-specific responses and inconsistent applicability of -mediated transient assay across diverse plant species can be challenging.

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Objective: The aim of this study was to describe the effect of opioid prescribing guideline implementation for elective spine surgery cases on prescribing and consumption behaviors in a multisite academic hospital system. The effectiveness of an automated text messaging system as a tool to monitor postoperative opioid use and pain outcomes and inform guideline development and deployment is also evaluated.

Methods: The authors conducted a prospective study of postoperative opioid use behaviors and patient-reported outcomes for 2101 elective spine surgery cases between December 2018 and March 2022, prior to and following the implementation of opioid-prescribing guidelines in February 2021 at three urban hospital sites within a large academic health system.

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Objective: Surgical correction of adult spinal deformity (ASD) is associated with a high rate of hardware complication that can be challenging to predict. Hardware integrity and alignment after surgery are typically followed with standing radiography, where pedicle screw loosening may be incidentally identified but the clinical significance of which is often unclear. This study aimed to identify the incidence and implications of pedicle screw loosening at the upper instrumented vertebra (UIV) after surgical correction of ASD.

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Article Synopsis
  • - Aluminum scandium nitride (AlScN) shows great potential for future ferroelectric memories due to its high remanent charge density, but it requires thinner films to reduce the high coercive field for lower operating voltages.
  • - Thinner films encounter issues with significant leakage currents, which complicate their compatibility with existing CMOS fabrication methods.
  • - This study introduces a HfN bottom electrode that minimizes lattice mismatch and reduces leakage currents, allowing for a CMOS-compatible HfN/ASN/TiN structure that showcases ferroelectric properties even at thicknesses of 3 nm and decreases the coercive voltage to 4.35 V.
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Nerve agents are toxic organophosphorus chemicals and acetylcholinesterase inhibitors that have been used in terrorist acts. Because they exhibit fatal toxic effects in small amounts, technology is required to detect and identify them early. Research for nerve agent detection using structural simulants of real agents may not function properly for real agents depending on the selectivity of the sensor.

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The development of adjacent segment disease or the progression of spondylosis following the surgical treatment of spinal stenosis and spondylolisthesis is well documented and can lead to subsequent functional decline after a successful index surgery. The early detection of negative inflection points during patients' functional recovery can improve timely intervention. In this study, we developed machine learning (ML) models to predict the occurrence of post-operative decline in patient mobility.

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Purpose: This study aimed to investigate the relationship of preoperative hemoglobin levels as an independent prognostic factor for hospital and intensive care unit (ICU) length of stay (LOS) in patients undergoing surgery for adult spinal deformity (ASD), with the intent of determining whether there exists a correlation and enhancing patient preoperative optimization protocols.

Methods: The authors reviewed consecutive patients who underwent elective thoracolumbosacral posterior spinal fusion (PSF) involving six or more vertebrae for ASD from January 1, 2013, to December 13, 2021, with a minimum follow-up period of two years. This study primarily investigated the association of preoperative hemoglobin levels with hospital and ICU LOS.

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Article Synopsis
  • - The study focuses on improving the extraction of surgical data from electronic health records (EHRs) using a new Natural Language Processing (NLP) algorithm that integrates a Large Language Model (LLM), specifically GPT4-Turbo, to automate the process.
  • - The algorithm operates in two stages: first, a rule-based NLP framework identifies and classifies relevant text segments, which are then verified by the LLM for accuracy on surgical details like type of surgery and complications.
  • - Results showed that the NLP+LLM approach significantly improved accuracy, efficiency, and cost-effectiveness compared to traditional manual methods, indicating its potential for broader use in healthcare settings.
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In-sensor computing has gained attention as a solution to overcome the von Neumann computing bottlenecks inherent in conventional sensory systems. This attention is due to the ability of sensor elements to directly extract meaningful information from external signals, thereby simplifying complex data. The advantage of in-sensor computing can be maximized with the sampling principle of a restricted Boltzmann machine (RBM) to extract significant features.

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This study uncovers the molecular processes governing the adaptive evolution of multidrug-resistant (MDR) pathogens without antibiotic pressure. Genomic analysis of MDR Acinetobacter baumannii cells cultured for 8000 generations under starvation conditions (EAB1) or nutrient-rich conditions (EAB2) revealed significant genomic changes, primarily by insertion sequence (IS)-mediated insertions and deletions. Only two Acinetobacter-specific prophage-related deletions and translocations were observed in the EAB1 strain.

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This study explores the stochastic and binary switching behaviors of a Ta/HfO/RuO memristor to implement a combined data mining approach for outlier detection and data clustering algorithms in a multi-functional memristive crossbar array. The memristor switches stochastically with high state dispersion in the stochastic mode and deterministically between two states with low dispersion in the binary mode, while they can be controlled by varying operating voltages. The stochastic mode facilitates the parallel generation of random hyperplanes in a tree structure, used to compress spatial information of the dataset in the Euclidian space into binary format, still retaining sufficient spatial features.

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Precise event detection within time-series data is increasingly critical, particularly in noisy environments. Reservoir computing, a robust computing method widely utilized with memristive devices, is efficient in processing temporal signals. However, it typically lacks intrinsic thresholding mechanisms essential for precise event detection.

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Background: The plant hormone auxin plays a crucial role in regulating important functions in strawberry fruit development. Although a few studies have described the complex auxin biosynthetic and signaling pathway in wild diploid strawberry (Fragaria vesca), the molecular mechanisms underlying auxin biosynthesis and crosstalk in octoploid strawberry fruit development are not fully characterized. To address this knowledge gap, comprehensive transcriptomic analyses were conducted at different stages of fruit development and compared between the achene and receptacle to identify developmentally regulated auxin biosynthetic genes and transcription factors during the fruit ripening process.

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In this study, we aimed to demonstrate the feasibility and safety of navigating the ureters, middle sacral artery (MSA), and superior hypogastric nerve (SHN) using indocyanine green (ICG) and near-infrared fluorescence (NIRF) imaging during robot-assisted sacrocolpopexy (RSCP). Overall, 15 patients who underwent RSCP for apical vaginal prolapse were retrospectively enrolled. All patients underwent cystoscopic intraureteric instillation of 5 cc ICG (2.

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Due to its area and energy efficiency, a memristive crossbar array (CBA) has been extensively studied for various combinatorial optimization applications, from network problems to circuit design. However, conventional approaches include heavily burdening software fine-tuning for the annealing process. Instead, this study introduces the "in-materia annealing" method, where the inter-layer interference of vertically stacked memristive CBA is utilized as an annealing method.

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Empathy, crucial for social interaction, is impaired across various neuropsychiatric conditions. However, the genetic and neural underpinnings of empathy variability remain elusive. By combining forward genetic mapping with transcriptome analysis, we discover that aryl hydrocarbon receptor nuclear translocator 2 (ARNT2) is a key driver modulating observational fear, a basic form of affective empathy.

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The isolation of a natural product conventionally precedes its chemical synthesis. Often, the isolation and structure determination of a natural product present in minute quantities in its natural source pose formidable challenges, akin to finding "a needle in a haystack." On the other hand, leveraging plausible biosynthetic insights and biomimetic synthetic expertise would allow for the prior synthesis of presumed natural products, followed by their verification in natural sources.

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Article Synopsis
  • The work introduces a thin-film transistor (TFT) using tin monoxide (SnO) for neuromorphic computing, showcasing its ability to create a physical reservoir.
  • The SnO TFT exhibits memory fading and nonlinearity, crucial for advanced computing, and its three-terminal design allows for more complex reservoir states compared to traditional two-terminal devices.
  • This SnO TFT reservoir demonstrates outstanding performance in key tests, achieving high accuracy in handwritten digit recognition and time-series predictions, while also enabling high integration due to a low fabrication temperature.
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Introduction: Chronic kidney disease (CKD) has an increasing global prevalence and has previously been associated with increased complications and morbidity after spine surgery. Understanding the isolated effect of CKD on short-term patient outcomes is critical for optimizing perioperative risk management and healthcare utilization.

Objective: The aim of this study is to utilize coarsened exact matching (CEM) to analyze the isolated effect of CKD on short-term patient outcomes in single-level posterior lumbar fusion surgery.

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Article Synopsis
  • Modern graph datasets often suffer from complexity and uncertainties that traditional graph models can’t effectively handle.
  • This study presents a new model called C-PGM, which uses innovative memristor technology to provide fast and reliable probabilistic graph processing.
  • C-PGM has shown promising results in accurately estimating probabilities and performing the PageRank algorithm, while also reducing computational costs compared to standard methods.
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Rising cancer survival rates have led to an increased risk of multiple primary cancers (MPCs). Data on MPCs in South Korea are limited. This study aimed to address incidence and clinical characteristics of MPCs in a single cancer center in Korea during a 20-year period.

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