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Article ; Online: Reply to letter to the editor re: D.N. Liu, C.P. Li, H.W. Li, et al. volume-based 18F-FDG PET/CT predicts prognosis and outcome of active surveillance for intra-abdominal desmoid tumor, abdominal radiology, 2024.

Liu, Dao-Ning / Hao, Chun-Yi

2024

Language	English
Publishing date	2024-05-15
Publishing country	United States
Document type	Letter
ZDB-ID	2839786-1
ISSN	2366-0058 ; 2366-004X
ISSN (online)	2366-0058
ISSN	2366-004X
DOI	10.1007/s00261-024-04354-0
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Article ; Online: Neoadjuvant therapy for sarcomatoid carcinoma of the pancreas: a case report and review of the literature.

Qiu, Hui / Hao, Chun-Yi

Journal of medical case reports

2023 Volume 17, Issue 1, Page(s) 293

Abstract: Background: Sarcomatoid carcinoma of the pancreas (SCP) is a rare type of malignant pancreatic neoplasm, and its prognosis is even worse than that of conventional pancreatic ductal adenocarcinoma (PDAC). Currently, there is no standard regimen for ... ...

Abstract	Background: Sarcomatoid carcinoma of the pancreas (SCP) is a rare type of malignant pancreatic neoplasm, and its prognosis is even worse than that of conventional pancreatic ductal adenocarcinoma (PDAC). Currently, there is no standard regimen for treating SCP, and the impact of systemic therapy on the survival of patients with SCP has not been well defined. Case presentation: Herein, we report a 38-year-old Asian man diagnosed of local unresectable SCP with supraclavicular lymph node metastasis, radical excision after camrelizumab and anlotinib therapy, which resulted in a remarkable reduction in the size of primary tumor and complete remission of the metastatic lymph node. Conclusions: This is the first report of the use of immunotherapy and anti-angiogenesis therapy in a patient with SCP, which provides optimistic data to support the synergistic effect.
MeSH term(s)	Male ; Humans ; Adult ; Neoadjuvant Therapy ; Pancreas ; Carcinoma ; Pancreatic Neoplasms/drug therapy ; Adenocarcinoma ; Pancreatic Neoplasms
Language	English
Publishing date	2023-07-13
Publishing country	England
Document type	Review ; Case Reports ; Journal Article
ZDB-ID	2269805-X
ISSN	1752-1947 ; 1752-1947
ISSN (online)	1752-1947
ISSN	1752-1947
DOI	10.1186/s13256-023-04006-9
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Article ; Online: Instability of membranes containing ionizable cationic lipids: Effects of the repulsive range of headgroups and tail structures.

Huang, Hao-Chun / Lin, Chih-Jung / Sheng, Yu-Jane / Tsao, Heng-Kwong

Colloids and surfaces. B, Biointerfaces

2024 Volume 236, Page(s) 113807

Abstract: The stability of membranes formed by ionizable cationic lipids, which constitute the primary components in lipid nanoparticles capable of endosomal escape, is explored using coarse-grained dissipative particle dynamics. Three types of ionizable model ... ...

Abstract	The stability of membranes formed by ionizable cationic lipids, which constitute the primary components in lipid nanoparticles capable of endosomal escape, is explored using coarse-grained dissipative particle dynamics. Three types of ionizable model lipids with different tail structures are considered. Endosome acidification causes the ionization of lipids, leading to an increased repulsive range between their headgroups. When electrostatic repulsion is modeled as a conservative force with a long-range cutoff distance (r
MeSH term(s)	Cations/chemistry ; Chemical Phenomena ; Nanoparticles/chemistry ; Lipids/chemistry ; Lipid Bilayers/chemistry
Chemical Substances	Cations ; Lipids ; Lipid Bilayers
Language	English
Publishing date	2024-02-20
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1500523-9
ISSN	1873-4367 ; 0927-7765
ISSN (online)	1873-4367
ISSN	0927-7765
DOI	10.1016/j.colsurfb.2024.113807
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Article ; Online: Forecasting of Typhoon-Induced Wind-Wave by Using Convolutional Deep Learning on Fused Data of Remote Sensing and Ground Measurements.

Wei, Chih-Chiang / Chang, Hao-Chun

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 15

Abstract: Taiwan is an island, and its economic activities are primarily dependent on maritime transport and international trade. However, Taiwan is also located in the region of typhoon development in the Northwestern Pacific Basin. Thus, it frequently receives ... ...

Abstract	Taiwan is an island, and its economic activities are primarily dependent on maritime transport and international trade. However, Taiwan is also located in the region of typhoon development in the Northwestern Pacific Basin. Thus, it frequently receives strong winds and large waves brought by typhoons, which pose a considerable threat to port operations. To determine the real-time status of winds and waves brought by typhoons near the coasts of major ports in Taiwan, this study developed models for predicting the wind speed and wave height near the coasts of ports during typhoon periods. The forecasting horizons range from 1 to 6 h. In this study, the gated recurrent unit (GRU) neural networks and convolutional neural networks (CNNs) were combined and adopted to formulate the typhoon-induced wind and wave height prediction models. This work designed two wind speed prediction models (WIND-1 and WIND-2) and four wave height prediction models (WAVE-1 to WAVE-4), which are based on the WIND-1 and WIND-2 model outcomes. The Longdong and Liuqiu Buoys were the experiment locations. The observatory data from the ground stations and buoys, as well as radar reflectivity images, were adopted. The results indicated that, first, WIND-2 has a superior wind speed prediction performance to WIND-1, where WIND-2 can be used to identify the temporal and spatial changes in wind speeds using ground station data and reflectivity images. Second, WAVE-4 has the optimal wave height prediction performance, followed by WAVE-3, WAVE-2, and WAVE-1. The results of WAVE-4 revealed using the designed models with in-situ and reflectivity data directly yielded optimal predictions of the wind-based wave heights. Overall, the results indicated that the presented combination models were able to extract the spatial image features using multiple convolutional and pooling layers and provide useful information from time-series data using the GRU memory cell units. Overall, the presented models could exhibit promising results.
MeSH term(s)	Commerce ; Cyclonic Storms ; Deep Learning ; Internationality ; Remote Sensing Technology
Language	English
Publishing date	2021-08-02
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21155234
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Article: Nectar Guide Patterns on Developmentally Homologous Regions of the Subtribe Ligeriinae (Gesneriaceae).

Hsu, Hao-Chun / Kuo, Yan-Fu

Frontiers in plant science

2021 Volume 12, Page(s) 650836

Abstract: Homology is a crucial concept that should be considered while conducting a comparative analysis between organisms. In particular, in the subtribe Ligeriinae, the nectar guide pattern is associated with high diversity in petal shapes and sizes. This ... ...

Abstract	Homology is a crucial concept that should be considered while conducting a comparative analysis between organisms. In particular, in the subtribe Ligeriinae, the nectar guide pattern is associated with high diversity in petal shapes and sizes. This largely limits researchers to exclusively examining the interspecific variation in nectar guide patterns on the developmentally homologous region. Thus, to solve this problem, we proposed an approach for defining a homologous region of interest (ROI) that aligns the petal image between specimens based on petal contours and vasculatures. We identified petal contours and vasculatures from the fresh petal image and its histological image through image processing. The homologous ROI was subsequently obtained by applying geometric transformation to the contour and vasculature. The qualification and quantification of nectar guide patterns were subsequently performed based on the homologous ROI. Four patterning modes, namely vascular, random, distal, and proximal, were defined for the qualitative analysis of nectar guide patterns. In the quantitative analysis, principal component (PC) analysis was applied to homologous ROIs, and the PC score of each specimen served as the trait values of nectar guide patterns. The results of the two analyses coincided, and both showed significant associations between nectar guide patterns and pollination types. The proximal mode (corresponding to PC1) and distal mode (corresponding to PC2) together showed the strongest association with pollination types. Species exhibiting the hummingbird and bee pollination types tended to recruit the distal and proximal modes, respectively. Our study conducted a comparative analysis of nectar guide patterns on the developmentally homologous region and provided a comprehensive view of the variation in the nectar guide patterns of Ligeriinae.
Language	English
Publishing date	2021-04-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2711035-7
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2021.650836
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Article ; Online: Cervical Tuberculosis Combined With Papillary Thyroid Carcinoma With Lateral Neck Metastasis.

Lin, Hui-Yu / Hu, Hao-Chun

Ear, nose, & throat journal

2021 Volume 102, Issue 4, Page(s) NP192–NP194

Abstract: Extrapulmonary tuberculosis in the head and neck region accounts for 10% of all tuberculosis cases. Cervical lymph nodes are the most common sites of head and neck tuberculosis and often mimics neck metastasis leading to overstaging and overtreatment. ... ...

Abstract	Extrapulmonary tuberculosis in the head and neck region accounts for 10% of all tuberculosis cases. Cervical lymph nodes are the most common sites of head and neck tuberculosis and often mimics neck metastasis leading to overstaging and overtreatment. Fine needle aspiration has proven effective in diagnosing cervical tuberculosis. If a diagnosis of tuberculosis is confirmed, then the first-line treatment is oral antituberculosis medication.
MeSH term(s)	Humans ; Thyroid Cancer, Papillary/pathology ; Thyroid Neoplasms/pathology ; Carcinoma, Papillary/complications ; Carcinoma, Papillary/pathology ; Lymphatic Metastasis/pathology ; Neck/pathology ; Lymph Nodes/pathology ; Tuberculosis/pathology ; Neck Dissection
Language	English
Publishing date	2021-03-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	750153-5
ISSN	1942-7522 ; 0145-5613
ISSN (online)	1942-7522
ISSN	0145-5613
DOI	10.1177/01455613211000598
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Zs.B 107: Show issues

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Article ; Online: [Corrigendum] Long non‑coding RNA LINC00238 suppresses the malignant phenotype of liver cancer by sponging miR‑522.

Qian, Hong-Gang / Wu, Qiong / Wu, Jian-Hui / Tian, Xiu-Yun / Xu, Wei / Hao, Chun-Yi

Molecular medicine reports

2024 Volume 29, Issue 4

Abstract: Subsequently to the publication of the above article, an interested reader drew to the authors' attention that two pairs of data panels featured in Figs. 2E and 6D, portraying the results from cell invasion and migration assay experiments, appeared to ... ...

Abstract	Subsequently to the publication of the above article, an interested reader drew to the authors' attention that two pairs of data panels featured in Figs. 2E and 6D, portraying the results from cell invasion and migration assay experiments, appeared to contain overlapping sections, such that data which were intended to show the results from differently performed experiments had apparently been derived from a smaller number of original sources. The authors were able to re‑examine their original data (which was also presented to the Editorial Office), and realized that errors has been made in the compilation of Fig. 2. The proposed revised version of Fig. 2, now showing the results from the 'field 1' view of the data, is shown on the next page. Note that these errors did not significantly affect either the results or the conclusions reported in this paper,.All the authors agree to the publication of this Corrigendum, and are grateful to the Editor of
Language	English
Publishing date	2024-03-01
Publishing country	Greece
Document type	Published Erratum
ZDB-ID	2469505-1
ISSN	1791-3004 ; 1791-2997
ISSN (online)	1791-3004
ISSN	1791-2997
DOI	10.3892/mmr.2024.13189
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Article ; Online: The impact of smoking on periodontitis patients' GCF/serum cytokine profile both before and after periodontal therapy: a meta-analysis.

Hao, Chun-Ping / Cao, Nan-Jue / Zhu, Yu-He / Wang, Wei

BMC oral health

2023 Volume 23, Issue 1, Page(s) 60

Abstract: Background: Smoking is an established modifying factor for the host immune response of periodontitis patients. However, its exact influence remains unclear. We aimed to compare the cytokine profile of periodontitis patients with and without smoking ... ...

Abstract	Background: Smoking is an established modifying factor for the host immune response of periodontitis patients. However, its exact influence remains unclear. We aimed to compare the cytokine profile of periodontitis patients with and without smoking habits both before and after periodontal therapy to preliminarily explore its influence on the host immune response to periodontitis. Methods: The protocol of the present meta-analysis was registered in the International Prospective Register of Systematic Reviews (PROSPERO) under the code CRD42021255656. Meta-analysis was performed for each cytokine if at least three studies were included. We synthesized the evidence to compare the cytokine profile of periodontitis with and without smoking both in gingival cervical fluid (GCF) and serum to explore the impact of smoking on periodontitis both locally and systemically. Moreover, we also compared the cytokine profile of the two groups of patients after periodontal therapy to explore the effect of smoking on the outcome of periodontal therapy. Results: Fifteen studies were included in this meta-analysis. We found that there was no significant difference between the two groups of patients in the baseline cytokine profile. However, after periodontal therapy, smoking periodontitis patients showed significantly higher IL-1β levels in their GCF than nonsmoking patients. Discussion: There was no significant difference between smoking and nonsmoking periodontitis patients in the baseline cytokine profile. However, after periodontal therapy, smoking periodontitis patients showed significantly higher IL-1β levels in their GCF than nonsmoking patients, which indicates that smoking may impair the response of periodontitis to periodontal treatment.
MeSH term(s)	Humans ; Smoking/adverse effects ; Gingival Crevicular Fluid ; Systematic Reviews as Topic ; Periodontitis/therapy ; Cytokines
Chemical Substances	Cytokines
Language	English
Publishing date	2023-02-01
Publishing country	England
Document type	Meta-Analysis ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2091511-1
ISSN	1472-6831 ; 1472-6831
ISSN (online)	1472-6831
ISSN	1472-6831
DOI	10.1186/s12903-023-02768-8
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Article: The deep learning algorithm estimates chest radiograph-based sex and age as independent risk factors for future cardiovascular outcomes.

Liao, Hao-Chun / Lin, Chin / Wang, Chih-Hung / Fang, Wen-Hui

Digital health

2023 Volume 9, Page(s) 20552076231191055

Abstract: Objectives: Chest X-rays (CXRs) convey much illegible physiological information that deep learning model (DLM) has been reported interpreting successfully. Since the electrocardiogram age established by DLM was revealed as a heart biological marker, we ... ...

Abstract	Objectives: Chest X-rays (CXRs) convey much illegible physiological information that deep learning model (DLM) has been reported interpreting successfully. Since the electrocardiogram age established by DLM was revealed as a heart biological marker, we hypothesize that CXR age has similar potential to describe the heart and lung states. Therefore, we developed a DLM to predict sex and age through CXR and analyzed its relation with future cardiovascular diseases (CVD). Methods: A total of 90,396 CXRs aged 20 to 90 were collected and separated into a development set with 53,102 CXRs and demographic information pairs, a tuning set with 7073 pairs, an internal validation set with 17,364 pairs, and an external validation set with 12,857 pairs. The study trained DLM with development set for estimating age and sex and compared them to actual information. Results: The mean absolute errors of predicted age were 4.803 and 4.313 years in the internal and external validation sets, respectively. The area under the curve of sex analysis was 0.9993 and 0.9988 in the internal and external validation sets, respectively. Patients whose CXR age was 5 years older than chronologic age lead to higher risk of all-cause mortality (hazard ratio (HR): 2.42, 95% confidence interval (CI): 2.00-2.92), cardiovascular (CV)-cause mortality (HR: 7.57, 95% CI: 4.55-12.60), new-onset heart failure (HR: 2.07, 95% CI: 1.56-2.76), new-onset chronic kidney disease (HR: 1.73, 95% CI: 1.46-2.05), new-onset acute myocardial infarction (HR: 1.80, 95% CI: 1.12-2.92), new-onset stroke (HR: 1.45, 95% CI: 1.10-1.90), new-onset coronary artery disease (HR: 1.26, 95% CI: 1.04-1.52), and new-onset atrial fibrillation (HR: 1.43, 95% CI: 1.01-2.02). Conclusions: Using DLM to predict CXR age provided additional information for future CVDs. Older CXR age is an accessible risk classification tool for clinician use.
Language	English
Publishing date	2023-07-28
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2819396-9
ISSN	2055-2076
ISSN	2055-2076
DOI	10.1177/20552076231191055
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Article ; Online: A new approach to constructing confidence intervals for population means based on small samples.

Hao-Chun Lu / Yan Xu / Tom Lu / Chun-Jung Huang

PLoS ONE, Vol 17, Iss 8, p e

2022 Volume 0271163

Abstract: This paper presents a new approach to constructing the confidence interval for the mean value of a population when the distribution is unknown and the sample size is small, called the Percentile Data Construction Method (PDCM). A simulation was conducted ...

Abstract	This paper presents a new approach to constructing the confidence interval for the mean value of a population when the distribution is unknown and the sample size is small, called the Percentile Data Construction Method (PDCM). A simulation was conducted to compare the performance of the PDCM confidence interval with those generated by the Percentile Bootstrap (PB) and Normal Theory (NT) methods. Both the convergence probability and average interval width criterion are considered when seeking to find the best interval. The results show that the PDCM outperforms both the PB and NT methods when the sample size is less than 30 or a large population variance exists.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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