45 research outputs found
CNN-Siamese λ€νΈμν¬λ₯Ό νμ©ν λ¬Έμ μν λ°μ μ μ¬μ± νμ§
νμλ
Όλ¬Έ(μμ¬) -- μμΈλνκ΅λνμ : 곡과λν μ°μ
곡νκ³Ό, 2022. 8. μ‘°μ±μ€.Recently, as the number of registered trademarks has rapidly increased, research to determine trademark similarity based on machine learning has been actively con- ducted. Similarity of trademarks is judged based on shapes, meaning, and pronun- ciation. In the case of pronunciation, there is a limit in judging similarity because the standards for similarity are ambiguous and spellings do not correspond to pro- nunciation in many cases. On the other hand, the performance of converting text into speech has been remarkably improved due to the recent development of speech synthesis technology. In this paper, we propose a deep learning framework that au- tomatically determines the pronunciation similarity of trademarks using speech data converted using speech synthesis technology. First, after synthesizing the trademark text into speech, it is converted into a log Mel spectrogram, and feature learning is performed through a convolutional neural network with a triplet loss. To compare the proposed method with previous studies, the trademark text dataset provided by AIhub was used, and our proposed method showed superior performance than the previous studies.μ΅κ·Ό λ±λ‘λλ μνμ μκ° λΉ λ₯΄κ² μ¦κ°ν¨μ λ°λΌ κΈ°κ³νμ΅μ κΈ°λ°μΌλ‘ μν μ μ¬μ±μ νλ¨νλ €λ μ°κ΅¬κ° νλ°ν μ§νλμ΄ μλ€. μνμ μ μ¬μ±μ λν, κ΄λ
, λ°μμ κΈ°μ€μΌ λ‘ νλ¨λλλ°, λ°μμ κ²½μ° μ μ¬ν¨μ κΈ°μ€μ΄ λͺ¨νΈνλ©° μ² μκ° λ°μμ λμλμ§ μλ κ²½μ°κ° λ§κΈ° λλ¬Έμ μ μ¬μ±μ νλ¨νλλ° νκ³κ° μ‘΄μ¬νλ€. ννΈ, μ΅κ·Ό μμ± ν©μ± κΈ°μ μ λ°λ¬λ‘ μΈν΄ ν
μ€νΈλ₯Ό μμ±μΌλ‘ λ³ννλ μ±λ₯μ΄ λμ λκ² ν₯μνμλ€. λ³Έ λ
Όλ¬Έμ μ μ±ν©μ±κΈ°μ μ νμ©νμ¬ μνμ λ°μ μ μ¬μ±μ μλμΌλ‘ νλ¨νλ λ₯λ¬λ νλ μμν¬λ₯Ό μ μνλ€. λ¨Όμ , μν ν
μ€νΈλ₯Ό μμ±μΌλ‘ ν©μ±ν λ€, log Mel Spectrogram μΌλ‘ λ³ν νκ³ ν©μ±κ³± μ κ²½λ§κ³Ό μΌμ€ν μμ€μ ν΅ν΄ feature νμ΅μ μ§ννλ€. μ μνλ λ°©λ²κ³Ό μ ν μ°κ΅¬λ₯Ό λΉκ΅νκΈ° μν΄ AIhub μμ μ 곡νλ μν ν
μ€νΈ λ°μ΄ν°μ
μ νμ©νμκ³ , μ μνλ λ°©μμ΄ μ ν μ°κ΅¬λ₯Ό μμλ κ²μ νμΈνμλ€.Chapter 1 Introduction 1
Chapter 2 Related Work 5
Chapter 3 Proposed Method 8
3.1 Model Architecture 8
3.2 EvaluationMetric 12
Chapter 4 Datasets 14
4.1 Traindataset 14
4.2 Testdataset 15
4.3 Speechdataset 15
4.4 Preprocessing 15
Chapter 5 Experimental Results 18
5.1 Experiment1: Compare different input type 18
5.2 Experiment 2: Compare signal processing methods 19
5.3 Experiment3:Comparebackbonenetworks 20
5.4 Experiment4:Comparebaselinemodels 21
Chapter 6 Conclusion 23
Bibliography 25
κ΅λ¬Έμ΄λ‘ 28
κ°μ¬μ κΈ 29μ
Genomic and transcriptomic profiling reveal molecular characteristics of parathyroid carcinoma
Genomic and transcriptomic profiling has enhanced the diagnostic and treatment options for many cancers. However, the molecular characteristics of parathyroid cancer remain largely unexplored, thereby limiting the development of new therapeutic interventions. Herein, we conducted genomic and transcriptomic sequencing of 50 parathyroid tissues (12 carcinomas, 28 adenomas, and 10 normal tissues) to investigate the intrinsic and comparative molecular features of parathyroid carcinoma. We confirmed multiple two-hit mutation patterns in cell division cycle 73 (CDC73) that converged to biallelic inactivation, calling into question the presence of a second hit in other genes. In addition, allele-specific repression of CDC73 in copies with germline-truncating variants suggested selective pressure prior to tumorigenesis. Transcriptomic analysis identified upregulation of the expression of E2F targets, KRAS and TNF-alpha signaling, and epithelial-mesenchymal transition pathways in carcinomas compared to adenomas and normal tissues. A molecular classification model based on carcinoma-specific genes clearly separated carcinomas from adenomas and normal tissues, the clinical utility of which was demonstrated in two patients with uncertain malignant potential. A deeper analysis of gene expression and functional prediction suggested that Wilms tumor 1 (WT1) is a potential biomarker for CDC73-mutant parathyroid carcinoma, which was further validated through immunohistochemistry. Overall, our study revealed the genomic and transcriptomic profiles of parathyroid carcinoma and may help direct future precision diagnostic and therapeutic improvements.ope
TERT Promoter and BRAF V600E Mutations in Papillary Thyroid Cancer: A Single-Institution Experience in Korea
Telomerase reverse transcriptase (TERT) promoter mutation has been investigated for its clinical and prognostic significance in aggressive papillary thyroid cancer (PTC). In this study, we aimed to assess the prevalence, clinicopathologic features, and treatment outcomes of TERT mutation-positive PTCs along with the common BRAF V600E mutation. We performed mutational analyses for BRAF and the TERT promoter in thyroid cancer patients who had undergone surgery at our institution since 2019. We reviewed and analyzed 7797 patients with PTC in this study. The prevalence of BRAF V600E and TERT promoter mutations was 84.0% and 1.1%, respectively. Multifocal gene mutations in bilateral PTCs were identified. TERT promoter mutations were associated with older age, larger tumor size, tumor multifocality, tumor variants, advanced stages, more adjuvant radioactive iodine treatment (RAI), higher stimulated serum thyroglobulin level before RAI, and more uptakes in the regions outside the surgical field on a post-RAI whole-body scan. The coexistence of BRAF V600E and TERT promoter mutations exacerbated all clinicopathologic characteristics. The frequency of TERT promoter mutations was the lowest in this study, compared to previous studies. TERT promoter mutations consistently correlated with aggressive PTCs, and the synergistic effect of both mutations was evident. Specific clinical settings in our institution and in Korea may have led to these distinctive results. Prospective multicenter studies with longer follow-up periods are required to establish valuable oncologic outcomes.ope
μ₯골 μ΄μμ μ΄μ©ν μμ§ μ΄λΆ μ±νμ νμ μ₯κΈ°κ° κ²°κ³Ό
Dept. of Dentistry/λ°μ¬[νκΈ]
μ°κ΅¬λͺ©μ : λ³Έ μ°κ΅¬λ μ₯골μ΄μμ μ΄μ©ν μμ§ μ¦κ° μ΄λΆμ±νμ μ μ₯κΈ°κ°μ κ²°κ³Όλ₯Ό νμΈνκΈ° μνμ¬ μ΄λΆμ μ΄μλ 골νΈμ μμ μ±κ³Ό λλΆμ΄ κ²½μ‘°μ§κ³Ό μ°μ‘°μ§μ μμ ν λ³νλ₯Ό μ‘°μ¬νμλ€.μ°κ΅¬λ°©λ²: λ³Έ μ°κ΅¬λ μ₯골μ΄μμ μ΄μ©ν μμ§ μ¦κ° μ΄λΆμ±νμ μ μνλ°μ 23λͺ
μ νμμ λν΄ μμμ λ°©μ¬μ νμ κ²μ¬λ₯Ό μννμλ€. μμ ν κ²½μ‘°μ§κ³Ό μ°μ‘°μ§μ λ³νλ₯Ό λΉκ΅νκΈ° μνμ¬ μμ μ κ³Ό μμ ν 1κ°μ, μμ ν 3κ°μ, μμ ν 6κ°μ, κ·Έλ¦¬κ³ μμ ν 1λ
μ λ°©μ¬μ μ¬μ§μ μ±λνμ¬ λλΆκ³μΈ‘λΆμμ μ€μνμλ€. μμ μ±κ³Ό 골νΈμ μΉμ , μ΄μλ 골νΈμ μν λΆμμ©μ λ°©μ¬μ μ¬μ§κ³Ό μμμ κ²μ¬λ₯Ό ν΅νμ¬ νκ°λμλ€.μ°κ΅¬κ²°κ³Ό: μμ μ κ³Ό μμ ν 6κ°μμ κ³μΈ‘λΆμμ λΉκ΅ν κ²°κ³Ό menton λΆμμμ κ²½μ‘°μ§μ μμ§μ μ¦κ°λμ νκ· 4.2 mm μ΄μμΌλ©° κ°μ λΆμμ μ°μ‘°μ§μ μ¦κ°λμ 4.0 mm μ΄μλ€. κ²½μ‘°μ§κ³Ό μ°μ‘°μ§μ μμ§μ μκ΄κ΄κ³λ 1: 0.94 μ λμ μμΈ‘κ°λ₯μ±μ 보μλ€. μ΄λΆμ 골νΈμ μμ ν μμ μ±μ 보μμΌλ©° μμ ν 1κ°μμμ 1λ
κΉμ§ μ°μ‘°μ§μ μ μν λ³νλ₯Ό 보μ΄μ§ μμλ€. μμμ λ°©μ¬μ νμ κ²μ¬μμ μ΄μλ μ₯골 골νΈμ μ μμ μΈ κ³¨μ±κ²°ν©μ 보μμΌλ©° μΌλ°μ μΌλ‘ μμ λ κ²°κ³Όλ₯Ό λνλλ€.κ²°λ‘ : μ₯골μ΄μμ μ΄μ©ν μμ§ μ¦κ° μ΄λΆμ±νμ μ κ²½μ‘°μ§κ³Ό μ°μ‘°μ§μ λ³νκ° μμΈ‘ κ°λ₯ν μμ μ μΈ μ μμ΄λ©° μμ ν μ΄λΆμ μ°μ‘°μ§μ λͺ¨μμ μ μ§ν μ μλ λ°©λ²μ΄λ€.
[μλ¬Έ]Objective. In order to clarify the clinical utility of the vertical height augmentation (VHA) genioplasty using autogenous iliac bone graft (IBG), this study examined the postsurgical changes in hard and soft tissues of the chin and the stability of the grafted bone.Study design. Twenty-three patients who had undergone VHA genioplasty using autogenous IBG were evaluated radiographically and clinically. A comparison study of the changes in hard to soft tissues after surgery in all 23 patients was performed with preoperative, 1-month, 3-months, 6-months, and/or 1-year postoperative lateral cephalograms by tracing. Stability, bone healing, and complication of the grafted bone was evaluated by follow-up roentgenograms and clinical observation.Results. Between the preoperative and 6-month postoperative tracings, an average vertical augmentation of the osseous segment was 4.2 mm at menton and that of the soft tissue menton was 4.0 mm. There was a high predictability of 1: 0.94 between the amounts of hard versus soft tissue changes with surgery in the vertical plane. The position of the genial bone segment was stable immediately after surgery and soft tissue was not changed significantly from 1 month to 1 year after operation. Clinical and radiological follow-up results of the iliac bone graft showed normal bony union and were generally stable.Conclusions. VHA genioplasty using IBG is a reliable method for predicting hard and soft tissue changes and for maintaining postoperative soft tissue of the chin after surgery.ope
Expression of UTX Indicates Poor Prognosis in Patients With Luminal Breast Cancer and is Associated With MMP-11 Expression
Ubiquitously transcribed tetratricopeptide repeat, X chromosome (UTX) is involved in the epigenetic regulation. A previous mouse xenograft study revealed that UTX knockdown is associated with downregulated expression of matrix metalloproteinase-11 (MMP-11). The authors investigated 224 cases of breast cancer from Kangbuk Samsung Medical Center between 2000 and 2005. Nuclear UTX and cytoplasmic MMP-11 expressions were assessed using immunohistochemistry of tumor tissue microarray specimens. The relationships between the expression of UTX, MMP-11, and patients' outcomes were analyzed. UTX expression was significantly associated with high histologic grade, lymphatic invasion, vascular invasion, and tumoral expression of MMP-11. Survival analysis revealed that patients with UTX expression had a poorer overall survival rate (P=0.010) as well as diminished disease-free survival rate (P=0.001). The prognostic power of UTX expression was significant in patients with luminal-type breast cancer (P=0.027, overall survival;P=0.008, disease-free survival). Validation of UTX can provide further prognostic information beyond traditional indicators and represents a potential therapeutic target for breast cancer.restrictio
Correlation between wave loss patterns of spinal cord evoked potentials and locomotive outcome in the rat spinal cord injury
νμλ
Όλ¬Έ(λ°μ¬) --μμΈλνκ΅ λνμ :μνκ³Ό μ κ²½μΈκ³Όνμ 곡,2008.2.Docto
νλ ¨λ°©λ²μ λ°λ₯Έ λ¨μλν λꡬμ μλ€μ κ·Όλ ₯ λ° κ·Όνμ ν₯μ λΉκ΅
νμλ
Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :체μ‘κ΅μ‘κ³Ό,2001.Maste
νΈλ λλ° μ΄λμ΄ ν°μ₯μ μμλ 골격근μμ Heat Shock Protein 70κ³Ό Inducible Nitric Oxide Synthaseμ λ°νμ λ―ΈμΉλ μν₯
Thesis(doctor`s)--μμΈλνκ΅ λνμ :체μ‘κ΅μ‘κ³Ό,2007.Docto
곡격μ νΉμ±μ κ°μ§ κ°μΈν¬μμμμ κ²°ν©μ‘°μ§ μ±μ₯ μΈμ, μνΌλ§ νμ, μ¬μ μμΈν¬ νμ±ν
Dept. of Medicine/μμ¬Tumor behavior is affected by not only malignant tumor cells themselves, but also by stromal cells in the tumor microenvironment, including cancer-associated fibroblasts (CAFs). Hepatocellular carcinoma (HCC) with βstemnessβ reportedly exhibits fibrous stroma and aggressive behavior suggestive of tumor-stroma interaction. However, the activation mechanism thereof remains unclear.
In the present study, the expressions of connective tissue growth factor (CTGF), epithelial membrane antigen (EMA), fibroblast activation protein (FAP), and keratin 19 (K19) were studied in specimens taken from 314 cases of HCC (cohort 1), 42 cases of HCC with fibrous stroma (cohort 2), and 36 cases of chronic hepatitis/cirrhosis by immunohistochemistry. Clinicopathological parameters in the HCC specimens were analyzed according to the expression status of CTGF, EMA, and FAP, respectively. The topographic expression patterns thereof were further assessed in the HCC specimens with fibrous
stroma of cohort 2.
CTGF and EMA expressions were detected in 15.3% (48/314) and 17.2% (54/314) of the HCCs of cohort 1, respectively. The expressions of CTGF and EMA were well correlated with each other (P = 0.001), and were significantly higher in HCCs with fibrous stroma, compared to those without (P = 0.028 and P = 0.003, respectively). K19 expression rate was significantly higher in HCCs with CTGF expression (17/48, P = 0.018). In HCCs with fibrous stroma, the expressions of CTGF, EMA, and FAP were noted in 40.5% (17/42), 40.5% (17/42), and 66.7% (28/42), respectively, and EMA expression was positively correlated with expressions of CTGF, K19, and FAP (P = 0.046, P = 0.026, and P = 0.020, respectively). EMA expression was found at the periphery of tumor nests in contact with fibrous stroma in 3 of 6 cases that exhibited large tumor nests, whereas it was rather diffuse in all 11 HCCs with small nests or that showed a trabecular pattern. CTGF expression rate was higher in large HCCs (β₯ 5 cm), and FAP expression rate was higher in HCCs with vascular invasion (P = 0.030). Analysis of disease-free survival indicated CTGF expression as a worse prognostic factor in both cohort 1 (P = 0.005) and cohort 2 (P = 0.023), and EMA as a worse prognostic factor in HCCs with fibrous stroma (P = 0.048).
Thus, we discerned that the expressions of CTGF, EMA, and FAP are important to the activation of CAFs and gain of βstemnessβ in HCC, giving rise to aggressive behavior. Frequent coexpression of EMA and FAP and their
topographic expression patterns suggest possible cross-talk between epithelial cells and stromal cells in the tumor microenvironment.ope
μκ°μ μ½ μ‘°κ±΄μ κ°μ§ ROOM νμμ λͺ¨λΈμ μ±λ₯ κ°μ μ μν μ°λ λ κΈ°λ° λ³ν μνꡬ쑰μ μ€κ³
νμλ
Όλ¬Έ(μμ¬)--μμΈλνκ΅ λνμ :μ 기곡νλΆ,2000.Maste