Learning temporal regularized spatial-aware deep correlation filter tracking via adaptive channel selection.

In recent years, deep correlation filters have demonstrated outstanding performance in robust object tracking. Nevertheless, the correlation filters encounter challenges in managing huge occlusion, target deviation, and background clutter due to the lack of effective utilization of previous target information. To overcome these issues, we propose a novel temporal regularized spatial-aware deep correlation filter tracking via adaptive channel selection.

Epidemiological surveillance and phylogenetic diversity of Orthohantavirus hantanense using high-fidelity nanopore sequencing, Republic of Korea.

Background: Orthohantavirus hantanense (HTNV) poses a substantial global public health threat due to its role in causing hemorrhagic fever with renal syndrome (HFRS). HTNV outbreaks are particularly prevalent in the Gyeonggi and Gangwon Provinces of the Republic of Korea (ROK). This study aimed to evaluate the application of advanced nanopore sequencing and bioinformatics to generate complete genome sequences of HTNV, with the objective of accurately identifying infection sources and analyzing their genetic diversity.

Genetic burden of lupus increases the risk of transition from normal to preclinical autoimmune conditions via antinuclear antibody development.

Objectives: This study aimed to investigate the association between the genetic burden of systemic lupus erythematosus (SLE) and the loss of tolerance to self-nuclear antigens in the preclinical stage.

Methods: We analysed genetic data from 349 Korean individuals who tested positive for autoantibodies in the preclinical stage, along with 33,596 healthy controls and 2057 patients with SLE. Genome-wide and pathway-specific polygenic risk scores (PRSs) of SLE were calculated based on 180 known non-human leukocyte antigen (non-HLA) SLE loci, HLA-DRB1 classical alleles, and predefined immune-related pathways to subsequently correlate with clinical phenotypes, particularly the presence of antinuclear antibodies (ANAs) at various titre thresholds.

Exploring potential multiple molecular biomarkers that predict treatment response in patients with lupus nephritis.

Limited knowledge exists regarding biomarkers that predict treatment response in Lupus nephritis (LN). We aimed to identify potential molecular biomarkers to predict treatment response in patients with LN. We enrolled 66 patients with active LN who underwent renal biopsy upon enrollment.

Safety and impact of the Mediterranean diet in patients with chronic kidney disease: a pilot randomized crossover trial.

Introduction: Emerging evidence highlights the potential advantages of the Mediterranean diet (MD) in preserving kidney function and slowing chronic kidney disease (CKD) progression. However, interventional studies on the MD are scarce in East Asian populations.

Methods: This randomized crossover trial aimed to assess the safety and short-term impact of the Mediterranean Proper Optimal Balance (MEDi-POB) diet in Korean patients with stage 3-4 CKD.

Correction: Associations of upper respiratory mucosa microbiota with Rheumatoid arthritis, autoantibodies, and disease activity.

[This corrects the article DOI: 10.1371/journal.pone.

Impact of Blood Pressure on Allograft Function and Survival in Kidney Transplant Recipients.

The optimal target blood pressure for kidney transplant (KT) patients remains unclear. We included 808 KT patients from the KNOW-KT as a discovery set, and 1,294 KT patients from the KOTRY as a validation set. The main exposures were baseline systolic blood pressure (SBP) at 1 year after KT and time-varying SBP.

Associations of upper respiratory mucosa microbiota with Rheumatoid arthritis, autoantibodies, and disease activity.

The lung is recognized as a site for initiating the formation of self-antigen and autoimmune responses in rheumatoid arthritis (RA). We aimed to investigate the association of upper respiratory microbiota with RA, autoantibody production, and disease activity. Forty-six patients with RA and 17 controls were examined.

Successful Transcatheter Arterial Embolization of Abdominal Wall Hematoma from the Left Deep Circumflex Iliac Artery after Abdominal Paracentesis in a Patient with Liver Cirrhosis: Case Report and Literature Review.

The occurrence of an abdominal wall hematoma caused by abdominal paracentesis in patients with liver cirrhosis is rare. This paper presents a case of an abdominal wall hematoma caused by abdominal paracentesis in a 67-year-old woman with liver cirrhosis with a review of the relevant literature. Two days prior, the patient underwent abdominal paracentesis for symptom relief for refractory ascites at a local clinic.

Glomerulonephritis following COVID-19 infection or vaccination: a multicenter study in South Korea.

Background: Despite the widespread impact of the severe acute respiratory syndrome coronavirus 2 (coronavirus disease 2019, COVID-19) and vaccination in South Korea, our understanding of kidney diseases following these events remains limited. We aimed to address this gap by investigating the characteristics of glomerular diseases following the COVID-19 infection and vaccination in South Korea.

Methods: Data from multiple centers were used to identify de novo glomerulonephritis (GN) cases with suspected onset following COVID-19 infection or vaccination.

Association of HLA-DRB1 locus with treatment response to abatacept or TNF inhibitors in patients with seropositive rheumatoid arthritis.

The strongest genetic risk factor for rheumatoid arthritis (RA) has been known as HLA-DRB1 based on amino acid positions 11, 71, and 74. This study analyzed the association between specific HLA-DRB1 locus and treatment response to abatacept or TNF inhibitors (TNFi) in patients with seropositive RA. A total of 374 Korean RA patients were treated with abatacept (n = 110) or TNFi (n = 264).

Plasma Levels of Polyunsaturated Fatty Acids and Adverse Kidney Outcomes.

Rationale & Objective: Many studies have reported polyunsaturated fatty acids (PUFA) as significant predictors of cardiovascular disease, but little is known about the relationship between PUFA levels and chronic kidney disease (CKD). This study explored this relationship among individuals with and without CKD.

Study Design: Prospective observational cohort study.

Donor fat-to-muscle ratio and kidney transplant outcomes: A proposition of metabolic memory.

Aims: The impact of donor abdominal fat-to-muscle ratio (FMR) on kidney transplant (KT) outcomes was assessed. Given the transient nature of the donor's metabolic environment in transplant recipients, this study investigated the capacity of body composition to induce metabolic memory effects.

Materials And Methods: KT patients (n = 895) who received allografts from living donors (2003-2013) were included.

Prognostic Factors for Predicting Post-COVID-19 Condition in Patients With COVID-19 in an Outpatient Setting.

Background: Although data on post-coronavirus disease 2019 (COVID-19) conditions are extensive, the prognostic factors affecting symptom duration in non-hospitalized patients with COVID-19 are currently not well known. We aimed to investigate the various prognostic factors affecting symptom duration among outpatients with COVID-19.

Methods: Data were analyzed from 257 patients who were diagnosed with mild COVID-19 and visited the 'post-COVID-19 outpatient clinic' between April and December 2022 after a mandatory isolation period.

Findings from the KNOW-CKD Study indicate that higher systolic blood pressure time in target range is associated with a lower risk of chronic kidney disease progression.

Time-in-target range (TTR) of systolic blood pressure (SBP) is determined by the proportion of time during which SBP remains within a defined optimal range. TTR has emerged as a useful metric for assessing SBP control over time. However, it is uncertain if SBP-TTR can predict the progression of chronic kidney disease (CKD).

An improved model predictive control of back-to-back three-level NPC converters with virtual space vectors for high power PMSG-based wind energy conversion systems.

In this study, an improved virtual space vector (VSV)-based two-stage model predictive control (MPC) scheme is presented for neutral point clamped (NPC) converters in high power-rated permanent magnet synchronous generator (PMSG)-based wind energy conversion system applications. The presented MPC scheme utilizes the VSVs and involves two-stage prediction for effectively reducing computation complexity. In stage-I prediction, a virtual space vector is identified based on the optimum cost function.

Role of School Quality and Neighborhood Disadvantage in Educational Attainment: Do They Vary by Race?

Schools and neighborhoods are adolescents' primary environments, and each has a significant influence on their academic success. The majority of studies on educational attainment have examined the impact of a single context-either the school or the neighborhood-suggesting mixed findings on school and neighborhood effects as well as potential disparities across racial groups. To address this gap, the present study examined the roles of school quality and neighborhood disadvantage on educational attainment for White and Black adolescents.

Proteinuria, measured or estimated albuminuria for risk prediction in patients with chronic kidney disease?

Background: Although albuminuria is the gold standard for defining chronic kidney disease (CKD), total proteinuria has also been widely used in real-world clinical practice. Moreover, the superiority of the prognostic performance of albuminuria over proteinuria in patients with CKD remains inconclusive. Therefore, we aimed to compare the predictive performances of albuminuria and proteinuria in these patients.

Learning dynamic spatial-temporal regularized correlation filter tracking with response deviation suppression via multi-feature fusion.

Visual object tracking (VOT) for intelligent video surveillance has attracted great attention in the current research community, thanks to advances in computer vision and camera technology. Meanwhile, discriminative correlation filter (DCF) trackers garnered significant interest owing to their high accuracy and low computing cost. Many researchers have introduced spatial and temporal regularization into the DCF framework to achieve a more robust appearance model and further improve tracking performance.

Stabilization analysis of fractional-order nonlinear permanent magnet synchronous motor model via interval type-2 fuzzy memory-based fault-tolerant control scheme.

The main objective of this study is to improve the convergence rate performance and analyze the stability properties of the FOPMSM model considering the load-torque external disturbances and actuator faults. Due to the complex nonlinearity, the presented FONPMSM model in the d-q frame is approximated by an IT-2 T-S fuzzy modeling technique. Besides, the fuzzy memory-based FTC is designed to eliminate the typical characteristics of chaotic behaviors and stabilize the proposed nonlinear model even if load torque disturbances, actuator faults in the controller, and time delays occur.

Decentralized Sampled-Data Control for Stochastic Disturbance in Interconnected Power Systems With PMSG-Based Wind Turbines.

The presented work is concerned with the stability performance of frequency response for interconnected power systems (IPSs) with permanent magnet synchronous generator (PMSG)-based wind turbines (WTs) via a decentralized control scheme against external and stochastic disturbances. To do this, initially, the state-space model is derived when a PMSG is penetration into IPSs. Differing from existing works, IPSs with PMSG-based WTs, including the stochastic disturbance, are modeled as a stochastic state-space model.

Transcriptomic network analysis reveals key drivers of response to anti-TNF biologics in patients with rheumatoid arthritis.

Objective: Anti-TNF biologics have been widely used to ameliorate disease activity in patients with RA. However, a large fraction of patients show a poor response to these agents. Moreover, no clinically applicable predictive biomarkers have been established.

Predictive Factors for Renal Response in Lupus Nephritis: A Single-center Prospective Cohort Study.

Objective: To identify the predictive factors for renal response in patients with lupus nephritis (LN).

Methods: Patients and data were extracted from a prospective systemic lupus erythematosus cohort in Korea, in which clinical data were collected at 0, 3, 6, and 12 months after induction therapy. Treatment response of LN were evaluated as a complete response (CR), partial response (PR), or non-response (NR) at 3, 6, and 12 months, respectively.

Use of Disease-modifying Antirheumatic Drugs After Cancer Diagnosis in Rheumatoid Arthritis Patients.

Objective: There is no recommendation for the use of disease-modifying antirheumatic drugs (DMARDs) in patients with rheumatoid arthritis (RA) who developed cancer. We examined changes in the DMARDs prescription patterns associated with cancer diagnosis in RA patients.

Methods: We reviewed the medical records of 2,161 RA patients who visited rheumatology clinic between January 2008 and February 2017 and found 40 patients who developed cancer during RA treatment.