• Tuberculosis and Respiratory Diseases
• /
• v.87 no.4
• /
• pp.505-513
• /
• 2024

Background: Clinical data for bacterial coinfection of the lower respiratory tract in patients with nontuberculous mycobacterial pulmonary disease (NTM-PD) are scarce. This study aims to assess the prevalence of bacterial coinfection and clinical features in NTM-PD patients. Methods: This retrospective study screened 248 patients with NTM-PD who underwent bronchoscopy between July 2020 and July 2022, from whom newly diagnosed NTM-PD patients were analyzed. Bacterial culture using bronchial washing fluid was performed at the time of NTM-PD diagnosis. Results: In the 180 patients (median age 65 years; 68% female), Mycobacterium avium complex (86%) was the most frequent NTM isolated. Bacterial coinfections were detected in 80 (44%) patients. Among them, the most common bacterium was Klebsiella pneumoniae (n=25/80, 31.3%), followed by Pseudomonas aeruginosa (n=20/80, 25%) and Staphylococcus aureus (n=20/80, 25%). Compared with NTM-PD patients without bacterial coinfections, patients with bacterial coinfections showed more frequent extensive lung involvement (33% vs. 1%, p<0.001). Additionally, compared with NTM-PD patients without P. aeruginosa infection, those with P. aeruginosa infection were older (74 years vs. 64 years, p=0.001), had more frequent respiratory symptoms (cough/excessive mucus production 70% vs. 38%, p=0.008; dyspnea 30% vs. 13%, p=0.047), and had extensive lung involvement (60% vs. 9%, p<0.001). Conclusion: Less than half of patients with newly diagnosed NTM-PD had bacterial coinfections, linked to extensive lung involvement. Specifically, P. aeruginosa coinfection was significantly associated with older age, more frequent respiratory symptoms, and extensive lung involvement.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.48 no.2
• /
• pp.80-85
• /
• 2011

Alzheimer's disease and Parkinson's disease are the most common neurodegenerative disorders. In this paper, we proposed a feature extraction method for classification of AD and PD based on micro-Raman spectra from platelet. The first step of the preprocessing is a simple smoothing followed by background elimination to the original spectra to make it easy to measure the intensity of the peaks. The last step of the preprocessing was peak alignment with the reference peak. After the inspection of the preprocessed spectra, we found that proportion of two peak intensity at 743 and $757cm^{-1}$ and peak intensity at 1248 and $1448cm^{-1}$ are the most discriminative features. Then we apply mapstd method for normalization. The method returned data with means to 0 and deviation to 1. With these three features, the classification result involving 263 spectra showed about 95.8% true classification in case of MAP(maximum a posteriori probability).

• Journal of the Korean Magnetics Society
• /
• v.3 no.1
• /
• pp.48-55
• /
• 1993

We report the photoemission (PES) studies for the Co/Pd multilayter. The Co 3d PES spectrum of Co/Pd exhibits two interesting features, one near the Fermi energy, $E_{F}$, and another at ~2.5 eV below $E_{F}$. The Co 3d peak near $E_{F}$ of Co/Pd is much narrower than that of the bulk Co, consistent with the enhanced Co magnetic moment in Co/Pd compared to that in the bulk Co. The Co 3d feature at ~-2.5 eV resembles the Pd valence band structures, which suggests a substantial hybridization between the Co and Pd sublayers. The Co 3d PES spectrum of Co/Pd is compared with the existing band structures, obtained using the local spin density functional calculations. A reasonable agreement is found concerning the bandwidth of the occupied part of the Co 3d band, whereas a narrow Co 3d peak near $E_{F}$ seems not to be described by the band structure calculations.

• Journal of Electrical Engineering and Technology
• /
• v.9 no.4
• /
• pp.1375-1384
• /
• 2014

Flashover of power transmission line insulators is a major threat to the reliable operation of power system. This paper deals with the flashover prediction of polymeric insulators used in power transmission line applications using the novel condition monitoring technique developed by PD signal time-frequency map and neural network technique. Laboratory experiments on polymeric insulators were carried out as per IEC 60507 under AC voltage, at different humidity and contamination levels using NaCl as a contaminant. Partial discharge signals were acquired using advanced ultra wide band detection system. Salient features from the Time-Frequency map and PRPD pattern at different pollution levels were extracted. The flashover prediction of polymeric insulators was automated using artificial neural network (ANN) with back propagation algorithm (BPA). From the results, it can be speculated that PD signal feature extraction along with back propagation classification is a well suited technique to predict flashover of polymeric insulators.

• Nuclear Engineering and Technology
• /
• v.51 no.3
• /
• pp.647-653
• /
• 2019

A comprehensive study of photon interaction features has been made for some alloys containing Pd and Ag content to evaluate its possible use as alternative gamma radiations shielding material. The mass attenuation coefficient (${\mu}/{\rho}$) of the present alloys was measured at various photon energies between 81 keV - 1333 keV utilizing HPGe detector. The measured ${\mu}/{\rho}$ values were compared to those of theoretical and computational (MCNPX code) results. The results exhibited that the ${\mu}/{\rho}$ values of the studied alloys are in same line with results of WinXCOM software and MCNPX code results at all energies. Moreover, Pd75/Ag25 alloy sample has the maximum radiation protection efficiency (about 53% at 81 keV) and lowest half value layer, which shows that Pd75/Ag25 has superior gamma radiation shielding performance among the compared other alloys.

• The Journal of Korean Medicine
• /
• v.41 no.2
• /
• pp.23-33
• /
• 2020

Objectives: To investigate the prevalence of pain, clinical characteristics of pain, association between clinical features and pain of patients with Parkinson's Disease(PD). Methods: We undertook a retrospective review of the medical records of patients diagnosed with PD between 2012 and 2019 at Kyung Hee University Korean Medicine Hospital at Gangdong in South Korea. Results: A total of 172 PD patients met entry criteria and 147 out of 172 patients(85.5%) reported pain. In comparison with general population, PD patients has high prevalence of pain. Female PD patients more frequently reported pain than male (P=0.03). 102 out of 147patients(69.3) complained of musculoskeletal pain, and musculoskeletal pain show significant difference depending on the PD motor subtypes (P=0.039). Pain was mainly locatedin the leg (57.8%) in all PD motor subtypes. Tremor-dominant PD more frequently felt pain in upper limb than postural instability-gait difficulty dominant(PIGD) PD, but it was not statistically significant. Conclusions: These findings showed high prevalence of pain in PD patients, the correlation between female and pain, and the relationship between PD motor subtype and pain type. Our study can contribute to the clinical approach based on a more in-depth understanding of PD patients with pain.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.10
• /
• pp.2627-2642
• /
• 2023

Parkinson's disease (PD) is a typical, chronic neurodegenerative disease involving the concentration of dopamine, which can disrupt motor activity and cause different degrees of gait disturbance relevant to PD severity in patients. As current clinical PD diagnosis is a complex, time-consuming, and challenging task that relays on physicians' subjective evaluation of visual observations, gait disturbance has been extensively explored to make automatic detection of PD diagnosis and severity rating and provides auxiliary information for physicians' decisions using gait data from various acquisition devices. Among them, wearable sensors have the advantage of flexibility since they do not limit the wearers' activity sphere in this application scenario. In this paper, an attention-based temporal network (ATN) is designed for the time series structure of gait data (vertical ground reaction force signals) from foot sensor systems, to learn the discriminative differences related to PD severity levels hidden in sequential data. The structure of the proposed method is illuminated by Transformer Network for its success in excavating temporal information, containing three modules: a preprocessing module to map intra-moment features, a feature extractor computing complicated gait characteristic of the whole signal sequence in the temporal dimension, and a classifier for the final decision-making about PD severity assessment. The experiment is conducted on the public dataset PDgait of VGRF signals to verify the proposed model's validity and show promising classification performance compared with several existing methods.

• KSBB Journal
• /
• v.20 no.4
• /
• pp.323-327
• /
• 2005

RT-PCR is an useful method to investigate the expression of target gene as detection tools. Although RT-PCR is the powerful detection method for tissues, it was difficult to amplify the target gene product using the single cell. To clarify the expression level of the genes related to Parkinson's disease (PD), I performed the laser dissection of single cell from Substantia nigra. I examined the mRNA expression level in the dopaminergic neuron isolated from the PD patients by the single cell RT-PCR method. It is known that tyrosine hydroxylase (TH), DOPA decarboxylase (DDC) are involved in biosynthesis of the catecholamine such as dopamine. Little has been known about the gene expression features of these enzymes in single dopaminergic neuron. I could detect the specific gene products in single cell level. The different expression was observed in PD-related gene products from the single neuron of PD patients. Interestingly, TH gene expression was significantly decreased with comparing the ratio of decrease in other PD-related genes. Hence, I represented data that indicate the RT-PCR method described in this report is an effective method in detecting a specific single-cell mRNA level related with diseases.

• Journal of Breast Cancer
• /
• v.21 no.4
• /
• pp.406-414
• /
• 2018

Purpose: T-cell immunoglobulin and mucin domain-containing molecule 3 (TIM-3) is an emerging immune response molecule related to T-cell anergy. There has been tremendous interest in breast cancer targeting immune checkpoint molecules, especially in the triple-negative breast cancer (TNBC). This study was designed to investigate TIM-3 expression on tumor infiltrating lymphocytes (TILs), its relationships with clinicopathological parameters and expression of programmed death receptor 1 (PD-1)/programmed death receptor ligand 1 (PD-L1), and its prognostic role. Methods: Immunohistochemistry on tissue microarray blocks produced from 109 samples of invasive ductal carcinoma type TNBC was performed with antibodies toward TIM-3, PD-1, PD-L1 and breast cancer-related molecular markers. Associations between their expression and clinicopathological parameters as well as survival analyses were performed. Results: TIM-3 was expressed in TILs from all 109 TNBCs, consisting of 17 cases (<5%), 31 cases (6%-25%), 48 cases (26%-50%), and 13 cases (>51%). High TIM-3 was significantly correlated with younger patients (p=0.0101), high TILs (p=0.0029), high tumor stage (p=0.0018), high PD-1 (p=0.0001) and high PD-L1 (p=0.0019), and tended to be associated with higher histologic grade, absence of extensive in situ components and microcalcification. High TIM-3 expression was significantly associated with a combinational immunophenotype group of high PD-L1 and high PD-1 (p<0.0001). High TIM-3 demonstrated a significantly better disease-free survival (DFS) (p<0.0001) and longer overall survival (OS) (p=0.0001), together with high TILs and high PD-1. In univariate survival analysis, high TIM-3 showed reduced relapse risk (p<0.0001) and longer OS (p=0.0003), together with high PD-1 expression. In multivariate analysis, high TIM-3 was statistically significant in predicting prognosis, showing better DFS (hazard ratio [HR], 0.0994; 95% confidence interval [CI], 0.0296-0.3337; p=0.0002) and longer OS (HR, 0.1109; 95% CI, 0.0314-0.3912; p=0.0006). Conclusion: In this study, we demonstrate that TIM-3 expression is an independent positive prognostic factor in TNBC, despite its association with poor clinical and pathologic features.

• Phonetics and Speech Sciences
• /
• v.6 no.4
• /
• pp.79-90
• /
• 2014

An intonation curve stylization was used for an acoustical analysis of English speech. For the analysis, acoustical feature values were extracted from 1,848 utterances produced with normal and fast speech rate by 28 (12 women and 16 men) native speakers of English. Men are found to speak faster than women at normal speech rate but no difference is found between genders at fast speech rate. Analysis of pitch point features has it that fast speech has greater Pt (pitch point movement time), Pr (pitch point pitch range), and Pd (pitch point distance) but smaller Ps (pitch point slope) than normal speech. Men show greater Pt, Pr, and Pd than women. Analysis of sentence level features reveals that fast speech has smaller Sr (sentence level pitch range), Sd (sentence duration), and Max (maximum pitch) but greater Ss (sentence slope) than normal speech. Women show greater Sr, Ss, Sp (pitch difference between the first pitch point and the last), Sd, MaxNr (normalized Max), and MinNr (normalized Min) than men. As speech rate increases, women speak with greater Ss and Sr than men.