Immunization decision-making in the Republic of Korea: The structure and functioning of the Korea Advisory Committee on Immunization Practices

AbstractThe Korea Advisory Committee on Immunization Practices (KACIP), established by law in the early 1990s, makes recommendations on a range of issues related to the National Immunization Program. The Committee consists of 15 members and always includes the two government officials who belong to the Korea Centers for Disease Control and Prevention and the Korea Food and Drug Administration. Other members usually come from affiliated organizations and serve for 2-year terms. The KACIP depends on special-topics sub-committees or temporary advisory committees to gather and analyze data and to make recommendations which are normally reached by consensus and implemented by public sector health providers and private providers

FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network

Brain-computer interface (BCI) technology facilitates communication between the human brain and computers, primarily utilizing electroencephalography (EEG) signals to discern human intentions. Although EEG-based BCI systems have been developed for paralysis individuals, ongoing studies explore systems for speech imagery and motor imagery (MI). This study introduces FingerNet, a specialized network for fine MI classification, departing from conventional gross MI studies. The proposed FingerNet could extract spatial and temporal features from EEG signals, improving classification accuracy within the same hand. The experimental results demonstrated that performance showed significantly higher accuracy in classifying five finger-tapping tasks, encompassing thumb, index, middle, ring, and little finger movements. FingerNet demonstrated dominant performance compared to the conventional baseline models, EEGNet and DeepConvNet. The average accuracy for FingerNet was 0.3049, whereas EEGNet and DeepConvNet exhibited lower accuracies of 0.2196 and 0.2533, respectively. Statistical validation also demonstrates the predominance of FingerNet over baseline networks. For biased predictions, particularly for thumb and index classes, we led to the implementation of weighted cross-entropy and also adapted the weighted cross-entropy, a method conventionally employed to mitigate class imbalance. The proposed FingerNet involves optimizing network structure, improving performance, and exploring applications beyond fine MI. Moreover, the weighted Cross Entropy approach employed to address such biased predictions appears to have broader applicability and relevance across various domains involving multi-class classification tasks. We believe that effective execution of motor imagery can be achieved not only for fine MI, but also for local muscle MIComment: 12 pages,5 figures, and 2 table

Robust Parameter Estimation for Rational Ordinary Differential Equations

We present a new approach for estimating parameters in rational ODE models from given (measured) time series data. In typical existing approaches, an initial guess for the parameter values is made from a given search interval. Then, in a loop, the corresponding outputs are computed by solving the ODE numerically, followed by computing the error from the given time series data. If the error is small, the loop terminates and the parameter values are returned. Otherwise, heuristics/theories are used to possibly improve the guess and continue the loop. These approaches tend to be non-robust in the sense that their accuracy depend on the search interval and the true parameter values; furthermore, they cannot handle the case where the parameters are locally identifiable. In this paper, we propose a new approach, which does not suffer from the above non-robustness. In particular, it does not require making good initial guesses for the parameter values or specifying search intervals. Instead, it uses differential algebra, interpolation of the data using rational functions, and multivariate polynomial system solving. We also compare the performance of the resulting software with several other estimation software packages.Comment: Updates regarding robustnes

Esophageal Thermal Injury by Hot Adlay Tea

Reversible thermal injury to the esophagus as the result of drinking hot liquids has been reported to generate alternating white and red linear mucosal bands, somewhat reminiscent of a candy cane. This phenomenon is associated with chest pain, dysphagia, odynophagia, and epigastric pain

Two pediatric cases with hematuria, normal renal function and positive antineutrophil cytoplasmic antibodies

Antineutrophil cytoplasmic antibody (ANCA)-associated glomerulonephritis requires prompt diagnosis and treatment, since renal function at the time of diagnosis is significantly associated with renal outcomes. Here, we report two pediatric patients with ANCA-positive glomerulonephritis initially presenting with hematuria, mild proteinuria, and normal renal function. The first patient with a high myeloperoxidase-ANCA titer (>134 IU/mL) was diagnosed with rapidly progressive glomerulonephritis based on renal biopsy and treated with immunosuppressive therapy after 10 months of follow-up. The second patient with a low myeloperoxidase-ANCA titer (11 IU/mL) maintained normal kidney function without medication. Two cases showed different clinical course according to ANCA titer

Geriatric Nutritional Risk Index as a prognostic marker in patients with extensive-stage disease small cell lung cancer: Results from a randomized controlled trial

Background Clinical impact of the Geriatric Nutritional Risk Index (GNRI) in patients with extensive-stage disease small cell lung cancer (ED-SCLC) have not previously been reported. Methods This study analyzed 352 patients enrolled in a previous randomized phase III trial comparing the efficacy of irinotecan plus cisplatin with that of etoposide plus cisplatin as the first-line therapy for ED-SCLC. GNRI values were calculated using serum albumin levels and actual and ideal bodyweights. Patients with a GNRI > 98, 92-98, and <92 were grouped into no, low, and moderate/major risk groups, respectively. Results The objective response rates were 63.2%, 52.6%, and 49.2% in the no, low, and moderate/major risk groups, respectively (P = 0.024). The median progression-free survival (PFS) was shorter in patients with a lower GNRI than in those with a higher GNRI (no vs. low vs. moderate/major risk group; 6.5 vs. 5.8 vs. 5.9 months, respectively; P = 0.028). There were significant differences in median overall survival (OS) according to GNRI (no vs. low vs. moderate/major risk group; 13.2 vs. 10.3 vs. 8.4 months, respectively; P < 0.001). Multivariate analysis revealed that being in the moderate/major risk group was an independent poor prognostic factor for PFS (hazard ratio [HR]: 1.300, 95% confidence interval [CI]: 1.012-1.670; P = 0.040) and OS (HR: 1.539; 95% CI: 1.069-2.216; P = 0.020). Conclusions This prospective study shows that a low GNRI value was associated with a poor prognosis, and it supports the relationship between systemic inflammation, nutritional status, and clinical outcomes in patients with ED-SCLC.Key points Significant findings of the study The lower GNRI group had a low response rate to chemotherapy for ED-SCLC. The HRs for PFS and OS were 1.300 and 1.539 in the patients with GNRI < 92. What this study adds Low GNRI is associated with poor prognosis in ED-SCLC.