482 results on '"Yao, Wen"'
Search Results
2. Fecal Microbiota Transplantation Is Safe and Effective in Patients With Clostridioides difficile Infection and Cirrhosis
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Dana Alhaffar, Michael H. Woodworth, Matthew Bohm, Monika Fischer, Tanvi Dhere, Marwan Ghabril, Dina Kao, Lotem Nativ, Alexander Khoruts, Srishti Saha, Giovanni Cammarota, Sahil Khanna, Najwa El-Nachef, Sagi Sashidhar, Jenna Marcus, Colleen S. Kraft, Nirja Mehta, Byron P. Vaughn, Emmalee Phelps, Karen Wong, Nicholas Rogers, Gianluca Ianiro, Jessica R. Allegretti, Eric S. Orman, Huiping Xu, and Yao-Wen Cheng
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Liver Cirrhosis ,medicine.medical_specialty ,Cirrhosis ,genetic structures ,Colonoscopy ,Severity of Illness Index ,Article ,End Stage Liver Disease ,03 medical and health sciences ,Liver disease ,0302 clinical medicine ,Model for End-Stage Liver Disease ,Spontaneous bacterial peritonitis ,Clostridioides ,Recurrence ,Interquartile range ,Internal medicine ,Humans ,Medicine ,Adverse effect ,Retrospective Studies ,Hepatology ,medicine.diagnostic_test ,Clostridioides difficile ,business.industry ,Gastroenterology ,Retrospective cohort study ,Fecal Microbiota Transplantation ,medicine.disease ,Treatment Outcome ,030220 oncology & carcinogenesis ,Clostridium Infections ,030211 gastroenterology & hepatology ,business - Abstract
Clostridioides difficile infection (CDI) harms a large proportion of patients with cirrhosis. Fecal microbiota transplantation (FMT) is recommended for recurrent CDI, but its effects in patients with cirrhosis have not been established. We performed a multicenter observational study to evaluate the efficacy and safety of FMT for CDI in patients with cirrhosis.We performed a retrospective study of 63 adults with cirrhosis (median model for end-stage liver disease score, 14.5; 24 patients with decompensated cirrhosis) who underwent FMT for CDI from January 2012 through November 2018 at 8 academic centers in the United States, Canada, and Italy. We collected data on patient demographics and characteristics of cirrhosis, CDI, and FMT from medical records and compared differences among patients with different severities of cirrhosis, and FMT successes vs failures at the 8-week follow-up evaluation. We also obtained data on adverse events (AEs) and severe AEs within 12 weeks of FMT.Patients underwent FMT for recurrent CDI (55 of 63; 87.3%), severe CDI (6 of 63; 9.5%), or fulminant CDI (2 of 63; 3.2%) primarily via colonoscopy (59 of 63; 93.7%) as outpatients (47 of 63; 76.8%). FMT success was achieved for 54 patients (85.7%). Among FMT failures, a higher proportion used non-CDI antibiotics at the time of FMT (44.4% vs 5.6%; P.001), had Child-Pugh scores of B or C (100% vs 37.7%; P.001), used probiotics (77.8% vs 24.1%; P = .003), had pseudomembranes (22.2% vs 0; P = .018), and underwent FMT as inpatients (45.5% vs 19%; P = .039), compared with FMT successes. In multivariable analysis, use of non-CDI antibiotics at the time of FMT (odds ratio, 17.43; 95% CI, 2.00-152.03; P = .01) and use of probiotics (odds ratio, 11.9; 95% CI, 1.81-78.3; P = .01) were associated with a greater risk of FMT failure. FMT-related AEs occurred in 33.3% of patients (21 of 63)-most were self-limited abdominal cramps or diarrhea. There were only 5 severe AEs that possibly were related to FMT; none involved infection or death.In a retrospective study, we found FMT to be safe and effective for the treatment of CDI in patients with cirrhosis.
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- 2021
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3. PCAT6 may be a new prognostic biomarker in various cancers: a meta-analysis and bioinformatics analysis
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Qi Cui, Shi-fang Guo, Shiyi Gong, Yu-ping Yang, Song-bo Shi, Shaoming Song, Yao-wen Qian, Kehu Yang, Tingting Lu, and Qing-hao Cheng
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0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Review ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Genetics ,medicine ,Stage (cooking) ,RC254-282 ,QH573-671 ,business.industry ,Hazard ratio ,Cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Odds ratio ,Publication bias ,medicine.disease ,Prognosis ,Confidence interval ,lncRNA PCAT6 ,Meta-analysis ,030104 developmental biology ,Tumor progression ,030220 oncology & carcinogenesis ,business ,Cancers ,Cytology - Abstract
Background LncRNA prostate cancer-associated transcript 6 (PCAT6) has been reported to be dysregulated in several cancers and is associated with tumor progression. Here, we have performed a meta-analysis to assess the general prognostic role of PCAT6 in malignancies. Methods Four public databases (Embase, Pubmed, Web of Science, Cochrane Library) were used to identify eligible studies, then data was extracted and associations between prognostic indicators and clinical characteristics were combined to estimate hazard ratio (HR) or odds ratio (OR) with a 95% confidence interval (CI). Publication bias was measured using the Begg's test, and the stability of the combined results was measured using sensitivity analysis. Subsequently, results were validated using Gene Expression Profiling Interactive Analysis (GEPIA) and the National Genomics Data Center (NGDC). Results Ten studies were considered eligible for inclusion. In total, 937 patients and eight types of cancer were included. Our results revealed that overexpression of PCAT6 was significantly associated with a shorter OS (HR = 1.82; 95% CI, [1.40, 2.38]; P P P = 0.04), gender (OR = 1.84; 95% CI, [1.31, 2.59]; P = 0.0005), and whether the tumor was metastatic (OR = 5.02; 95% CI, [1.36, 18.57]; P = 0.02). However, PCAT6 overexpression was not correlated with patient age and tumor differentiation. PCAT6 expression was significantly up-regulated in four types of cancer, which was validated using the GEPIA cohort. Combining OS and disease-free survival (DFS) of these four types of cancer revealed a shorter OS and DFS in patients with PCAT6 overexpression. PCAT6 expression in various types of cancer was also validated in NGDC. A total of eight cancers were analyzed and PCAT6 was highly expressed in all eight cancers. Further functional predictions suggest that PCAT6 is correlated with tumor prognosis, and that PCAT6 may be useful as a new tumor-specific marker. Conclusions LncRNA PCAT6 is highly expressed in multiple cancer types and its upregulation was significantly associated with patient prognosis and poorer clinical features, thereby suggesting that PCAT6 may be a novel prognostic factor in multiple cancer types.
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- 2021
4. Deep Gluteal Syndrome: A Pain in the Buttock
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Paul D Tortland, Garry W K Ho, and Yao-Wen Eliot Hu
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medicine.medical_specialty ,Sports medicine ,medicine.medical_treatment ,Physical examination ,Diagnosis, Differential ,Sciatica ,03 medical and health sciences ,Rare Diseases ,0302 clinical medicine ,Deep gluteal syndrome ,medicine ,Humans ,Effective treatment ,Orthopedics and Sports Medicine ,030212 general & internal medicine ,Medical diagnosis ,Pelvic Bones ,Physical Examination ,Rehabilitation ,medicine.diagnostic_test ,business.industry ,Nerve Compression Syndromes ,Public Health, Environmental and Occupational Health ,Rare entity ,Buttock Pain ,Syndrome ,030229 sport sciences ,General Medicine ,Decompression, Surgical ,Piriformis Muscle Syndrome ,Biomechanical Phenomena ,body regions ,Physical therapy ,Buttocks ,business - Abstract
While buttock pain is a common complaint in sports medicine, deep gluteal syndrome (DGS) is a rare entity. DGS has been proposed as a unifying term referring to symptoms attributed to the various pain generators located in this region. While not all-inclusive, the diagnosis of DGS allows for focus on pathology of regionally associated muscles, tendons, and nerves in the clinical evaluation and management of posterior hip and buttock complaints. An understanding of the anatomic structures and their kinematic and topographic relationships in the deep gluteal space is pivotal in making accurate diagnoses and providing effective treatment. Because presenting clinical features may be unrevealing while imaging studies and diagnostic procedures lack supportive evidence, precise physical examination is essential in obtaining accurate diagnoses. Management of DGS involves focused rehabilitation with consideration of still clinically unproven adjunctive therapies, image-guided injections, and surgical intervention in refractory cases.
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- 2021
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5. Spectroscopic characterization of electronic structures of ultra-thin single crystal La0.7Sr0.3MnO3
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Chiu, Chun Chien, Chang, Yao Wen, Shao, Yu Cheng, Liu, Yu Chen, Lee, Jenn Min, Huang, Shih Wen, Yang, Wanli, Guo, Jinghua, de Groot, Frank M.F., Yang, Jan Chi, Chuang, Yi De, Sub Materials Chemistry and Catalysis, Materials Chemistry and Catalysis, Sub Materials Chemistry and Catalysis, and Materials Chemistry and Catalysis
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Materials science ,Science ,02 engineering and technology ,Substrate (electronics) ,010402 general chemistry ,01 natural sciences ,Article ,Taverne ,Wafer ,Thin film ,Spectroscopy ,Condensed-matter physics ,General ,X-ray absorption spectroscopy ,Multidisciplinary ,business.industry ,Scattering ,Physics ,Heterojunction ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Optoelectronics ,Medicine ,0210 nano-technology ,business ,Single crystal - Abstract
We have successfully fabricated high quality single crystalline La0.7Sr0.3MnO3 (LSMO) film in the freestanding form that can be transferred onto silicon wafer and copper mesh support. Using soft x-ray absorption (XAS) and resonant inelastic x-ray scattering (RIXS) spectroscopy in transmission and reflection geometries, we demonstrate that the x-ray emission from Mn 3s-2p core-to-core transition (3sPFY) seen in the RIXS maps can represent the bulk-like absorption signal with minimal self-absorption effect around the Mn L3-edge. Similar measurements were also performed on a reference LSMO film grown on the SrTiO3 substrate and the agreement between measurements substantiates the claim that the bulk electronic structures can be preserved even after the freestanding treatment process. The 3sPFY spectrum obtained from analyzing the RIXS maps offers a powerful way to probe the bulk electronic structures in thin films and heterostructures when recording the XAS spectra in the transmission mode is not available.
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- 2021
6. Clinical and molecular epidemiology of human listeriosis in Taiwan
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Yao-Wen Kuo, Chun-Hsing Liao, Po-Ren Hsueh, Mao-Song Tsai, Lee-Jene Teng, Yu Huan Tsai, Meng-Rui Lee, and Yu-Tsung Huang
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Adult ,Male ,0301 basic medicine ,Microbiology (medical) ,Sequence type ,medicine.medical_specialty ,Human listeriosis ,Cirrhosis ,030106 microbiology ,Taiwan ,Multilocus sequence typing ,Bacteremia ,medicine.disease_cause ,Serogroup ,Polymerase Chain Reaction ,lcsh:Infectious and parasitic diseases ,03 medical and health sciences ,30-day all-cause mortality ,0302 clinical medicine ,Spontaneous bacterial peritonitis ,Listeria monocytogenes ,Internal medicine ,medicine ,Humans ,Listeriosis ,lcsh:RC109-216 ,030212 general & internal medicine ,Aged ,Aged, 80 and over ,Molecular Epidemiology ,Respiratory distress ,Molecular epidemiology ,business.industry ,Incidence ,Hazard ratio ,General Medicine ,Middle Aged ,medicine.disease ,Infectious Diseases ,Female ,business - Abstract
Objective To determine serogroups, multilocus sequence typing (MLST) of Listeria monocytogenes isolates and analyze clinical characteristics of these clones focusing on non-perinatal cases. Methods From 2000 to 2015, we analyzed 123 human listeriosis cases at a medical center in northern Taiwan using PCR serogrouping, MLST, and clinical presentations. Results The annual incidence of listeriosis increased since 2005 with a peak in 2008 (0.2 per 1000 admission) and decreased thereafter. Of the 115 non-perinatal listeriosis cases, we found a male predominance (60%) with an average age of 63.9 years old (standard deviation: 15.3 years), and almost all patients had underlying conditions including malignancies (61.7%), steroid usage (39.1%), diabetes mellitus (31.3%), renal insufficiency (27.8%), and liver cirrhosis (17.4%). Clinical presentations included bacteremia (74.8%), neurolisteriosis (20.0%), and spontaneous bacterial peritonitis (5.2%). The most frequently identified serogroup-sequence types (ST) were IIB-ST87 (30.9%), followed by IIA-ST378 (16.3%) and IIA-ST155 (14.6%). The 30-day all-cause mortality of non-perinatal listeriosis was 25.2% and was associated with age (Hazard ratio: 1.04, 95% C.I. = 1.01–1.07, p = 0.021), steroid usage (Hazard ratio: 2.54, 95% C.I. = 1.06–6.11, p = 0.038) and respiratory distress at presentation (Hazard ratio: 2.59, 95% C.I. = 1.05–6.39, p = 0.038); while no association was found with serogroups (IIA, IIB, and IVB) or three major ST types by multivariable analysis. All 8 mothers of perinatal listeriosis patients survived and three neonates died (mortality, 37.5%), and IIB-ST87 was the major type (62.5%). Conclusion Predominant strains in Taiwan could cause significant morbidity and mortality. Further disease monitoring and source surveillance are warranted despite a declining trend of human listeriosis in Taiwan.
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- 2021
7. Low-temperature-processed metal oxide electron transport layers for efficient planar perovskite solar cells
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Zai-Fang Li, Yao-Wen Li, Jiaxing Song, and Xin-Xing Yin
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Electron transport layer ,Materials science ,Oxide ,02 engineering and technology ,010402 general chemistry ,01 natural sciences ,Metal ,chemistry.chemical_compound ,Planar ,Materials Chemistry ,Physical and Theoretical Chemistry ,Perovskite (structure) ,business.industry ,Photovoltaic system ,Energy conversion efficiency ,Metals and Alloys ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Electron transport chain ,0104 chemical sciences ,chemistry ,visual_art ,visual_art.visual_art_medium ,Optoelectronics ,0210 nano-technology ,business - Abstract
Abstract As a promising photovoltaic technology, perovskite solar cells (pero-SCs) have developed rapidly over the past few years and the highest power conversion efficiency is beyond 25%. Nowadays, the planar structure is universally popular in pero-SCs due to the simple processing technology and low-temperature preparation. Electron transport layer (ETL) is verified to play a vital role in the device performance of planar pero-SCs. Particularly, the metal oxide (MO) ETL with low-cost, superb versatility, and excellent optoelectronic properties has been widely studied. This review mainly focuses on recent developments in the use of low-temperature-processed MO ETLs for planar pero-SCs. The optical and electronic properties of widely used MO materials of TiO2, ZnO, and SnO2, as well as the optimizations of these MO ETLs are briefly introduced. The commonly used methods for depositing MO ETLs are also discussed. Then, the applications of different MO ETLs on pero-SCs are reviewed. Finally, the challenge and future research of MO-based ETLs toward practical application of efficient planar pero-SCs are proposed. Graphical abstract
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- 2021
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8. Therapeutic potential of Rho-associated kinase inhibitor Y27632 in corneal endothelial dysfunction: an in vitro and in vivo study
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Yao-Wen Song, Li Wang, Jun-Yu Chen, Xu Li, and Zhiqiang Pan
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rho kinase inhibitor ,Immunofluorescence ,corneal endothelial dysfunction ,chemistry.chemical_compound ,lcsh:Ophthalmology ,In vivo ,medicine ,Endothelial dysfunction ,medicine.diagnostic_test ,business.industry ,medicine.disease ,porcine corneal endothelial cells ,Molecular biology ,In vitro ,eye diseases ,Trypsinization ,Staining ,Y-27632 ,Ophthalmology ,cell proliferation ,chemistry ,Rho kinase inhibitor ,lcsh:RE1-994 ,sense organs ,y-27632 ,business - Abstract
AIM: To investigate the effects of a selective inhibitor of Rho-associated kinase (ROCK), Y-27632, on inbred Wuzhishan porcine corneal endothelial cells (PCECs) in vitro and in vivo studies. METHODS: Primary PCECs were trypsinized from Wuzhishan miniature porcine corneal tissues. The optimal concentration of Y-27632 on PCECs was determined through MTT and 5-ethynyl-2’-deoxyuridine (EdU)-labeling assays. Seven New Zealand rabbits were used as a corneal endothelial dysfunction model, and a PCECs suspension supplemented with Y-27632 was injected into the anterior chamber of the rabbits. The progression of rabbit corneal opacity and edema were observed by slit lamp examination. The rabbits were sacrificed, and rabbit globes were enucleated for trypan blue-alizarin red staining, hematoxylin-eosin staining, and immunofluorescence analysis. RESULTS: Administration of 100 μmol/L Y-27632 facilitated PCECs’ proliferation obviously. The rabbit corneas injected with PCECs suspension and 100 μmol/L Y-27632 were restored to transparency significantly after 14d. CONCLUSION: The 100 μmol/L Y-27632 treatment improves PCECs’ proliferation significantly. And our results suggest that Y-27632 and PCECs can be used to treat corneal endothelial dysfunction.
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- 2021
9. From Street Photos to Fashion Trends: Leveraging User-Provided Noisy Labels for Fashion Understanding
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Yao-Wen Hsu, Fu-Hsien Huang, and Hsin-Min Lu
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image clustering ,fashion dataset ,General Computer Science ,Computer science ,Feature vector ,02 engineering and technology ,Image (mathematics) ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Social media ,multi-label classification ,Focus (computing) ,Information retrieval ,Social network ,business.industry ,General Engineering ,Deep learning ,Clothing ,fashion trends ,Market research ,image recognition ,Task analysis ,020201 artificial intelligence & image processing ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,business ,lcsh:TK1-9971 - Abstract
There is increased interest in using street photos to understand fashion trends. Though street photos usually contain rich clothing information, there are several technical challenges to their analysis. First, street photos collected from social media sites often contain user-provided noisy labels, and training models using these labels may deteriorate prediction performance. Second, most existing methods predict multiple clothing attributes individually and do not consider the potential to share knowledge between related tasks. In addition to these technical challenges, most fashion image datasets created by previous studies focus on American and European fashion styles. To address these technical challenges and understand fashion trends in Asia, we created RichWear, a new street fashion dataset containing 322,198 images with various text labels for fashion analysis. This dataset, collected from an Asian social network site, focuses on street styles in Japan and other Asian areas. RichWear provides a subset of expert-verified labels in addition to user-provided noisy labels for model training and evaluation. We propose the Fashion Attributes Recognition Network (FARNet) based on the multi-task learning framework to improve fashion recognition. Instead of predicting each clothing attribute individually, FARNet predicts three types of attributes simultaneously, and, once trained, this network leverages the noisy labels and generates corrected labels based on the input images. Experimental results show that this approach significantly outperforms existing methods. Applying the trained model to the RichWear dataset, we report Asian fashion trends and street styles based on predicted labels and image clusters from latent feature vectors.
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- 2021
10. IT in Manufacturing and Logistics for SCM and OP in SMEs
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Wei Hung Mr and Yao-Wen Hsu Mr
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021103 operations research ,0502 economics and business ,05 social sciences ,0211 other engineering and technologies ,02 engineering and technology ,Business ,050203 business & management - Abstract
This analysis focusses on the effects of Information Technology (IT) and how it significantly affects the Supply Chain Management (SCM) in logistics and manufacturing-Small and Medium-Sized Enterprises (SMEs). Apart from that, our purpose is to evaluate how IT affects the Organizational Performance (OP) in the enterprises. Irrespective of the fact that IT cannot be applied in every enterprise, the findings in this research are based on the statistical analysis which shows that a wide-range of workforce in the modern age has adopted the initiative considering the complexities of SCM and mostly to maximize OP in the enterprises. This research was done based on the analysis of SMEs in logistics and manufacturing sector in India. The sample used to conduct this research makes it valid to draw assumptions that managers and CEOs are responsible for coordinating enterprise operations in SMEs. The evaluation in this research shows that the workforce is obliged to formulate strategies to allow employees to enhance their competency of IT. In that regard, the findings are essential for the enhancement of the decision-making process, SCM and OP.
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- 2020
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11. Fecal Microbiota Transplantation for Ulcerative Colitis. Are We Ready for Primetime?
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Monika Fischer and Yao-Wen Cheng
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0301 basic medicine ,medicine.medical_specialty ,Disease ,Severity of Illness Index ,Gastroenterology ,Inflammatory bowel disease ,law.invention ,03 medical and health sciences ,fluids and secretions ,0302 clinical medicine ,Randomized controlled trial ,law ,Internal medicine ,medicine ,Humans ,Microbiome ,Randomized Controlled Trials as Topic ,Crohn disease ,business.industry ,Fecal bacteriotherapy ,Fecal Microbiota Transplantation ,medicine.disease ,Ulcerative colitis ,Treatment Outcome ,030104 developmental biology ,Dysbiosis ,Colitis, Ulcerative ,030211 gastroenterology & hepatology ,business - Abstract
"Patients with inflammatory bowel disease, including ulcerative colitis (UC) and Crohn disease, have altered gut microbiomes. The success of fecal microbiota transplantation (FMT) in the treatment of Clostridioides difficile infection, a disease that is also marked by dysbiosis, has spurred research in applying FMT to UC. So far, 3 randomized controlled trials have demonstrated benefit in mild to moderate UC disease course after FMT. However, important questions regarding optimal stool preparation, route, and frequency of administration, as well as characteristics of the stool donor and recipient still remain."
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- 2020
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12. Worse Response to Ursodeoxycholic Acid in Primary Biliary Cholangitis Patients with Autoimmune Hepatitis Features
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Ping Ni, Zhichao Hu, Xiaoli Fan, Li Yang, Mao-yao Wen, Yi Shen, and Ruoting Men
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Adult ,Male ,Cholagogues and Choleretics ,medicine.medical_specialty ,Cirrhosis ,Autoimmune hepatitis ,digestive system ,Gastroenterology ,Immunoglobulin G ,Liver Function Tests ,Internal medicine ,medicine ,Humans ,medicine.diagnostic_test ,biology ,Liver Cirrhosis, Biliary ,business.industry ,Ursodeoxycholic Acid ,Albumin ,General Medicine ,Middle Aged ,medicine.disease ,digestive system diseases ,Ursodeoxycholic acid ,Hepatitis, Autoimmune ,Treatment Outcome ,Alanine transaminase ,Liver biopsy ,biology.protein ,Alkaline phosphatase ,Female ,Drug Monitoring ,business ,medicine.drug - Abstract
Background: There is limited evidence on the treatment response of primary biliary cholangitis (PBC) with autoimmune hepatitis (AIH) features but not meet the criteria of PBC-AIH syndromes. The aim of this study was to elucidate the clinical characteristics of PBC patients with features of AIH. Methods: We included patients with diagnostic criteria of PBC. All patients were treated with ursodeoxycholic acid (UDCA) and without immunosuppressive agents for >1 year. The biochemical response was evaluated at 1 year after the treatment of UDCA. Results: Among 432 patients with PBC, 166 (38.4%) patients did not achieve biochemical response within 1 year of UDCA treatment. Nonresponders had a lower albumin level and higher immunoglobulin G, alanine transaminase (ALT), alanine aminotransferase (AST), alkaline phosphatase, glutamyl transpeptidase and total bilirubin levels (p < 0.05). The response rates were significantly lower in patients with elevated level of IgG or ALT or AST. Moreover, the higher the IgG or AST level was, the lower the response rate was in patients with PBC, regardless of cirrhosis. For patients with cirrhosis, there was no differences among patients with different levels of ALT. Patients in the PBC with AIH features group had a significant lower response rate than patients in the PBC-only group. Among the 139 patients who underwent liver biopsy, 54 were nonresponsive to UDCA and 48 (88.9%) shown mild interface hepatitis. Conclusion: In conclusion, PBC patients with AIH features had a worse response to UDCA therapy.
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- 2020
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13. On Minimizing Analog Variation Errors to Resolve the Scalability Issue of ReRAM-Based Crossbar Accelerators
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Yuan-Hao Chang, Kang Yao-Wen, Ho Shu-Yin, Chun-Feng Wu, and Tei-Wei Kuo
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Emulation ,business.industry ,Computer science ,02 engineering and technology ,Chip ,Computer Graphics and Computer-Aided Design ,020202 computer hardware & architecture ,Resistive random-access memory ,Scalability ,0202 electrical engineering, electronic engineering, information engineering ,Overhead (computing) ,Electronic design automation ,Electrical and Electronic Engineering ,Crossbar switch ,business ,Throughput (business) ,Software ,Computer hardware - Abstract
Crossbar accelerators with a resistive random-access memory (ReRAM) are a promising solution for accelerating neural network applications. The advantages of achieving high computation throughput per watt make ReRAM-based crossbar accelerators become a potential solution for accelerating inference operations in the Internet of Things and edge devices. Due to the analog variation errors, the launched ReRAM-based crossbar accelerators can only perform well when each ReRAM cell is used to represent a limited number of data bits. To make such ReRAM-based crossbar accelerators applicable in wide application scenarios, several proposed researches target at binary neural networks and focus on the chip designs in relieving the implementation challenges on computation accuracy for realizing single-bit ReRAM-based crossbar accelerators. Even though several small-sized ReRAM-based crossbar accelerators are announced, the scalability issue hinders ReRAM-based crossbar accelerators from being scaled up. That is, when there are more and more wordline in an ReRAM-based crossbar accelerator, the analog variation error is amplified and thus seriously degrades the computation accuracy. In this work, we propose an adaptive data manipulation strategy to substantially reduce analog variation errors so as to fill up the gap on scaling up the ReRAM-based crossbar accelerators. In particular, a weight-rounding design is proposed to manipulate data to minimize overlapping variation so that the number of wordlines can be scaled up. In addition, an input subcycling design is proposed to further trade tolerable errors with neural networks’ execution time. Moreover, a bitline redundant design is proposed to trade acceptable space overhead for eliminating the analog variation errors. The emulation experiments show that the proposed adaptive data manipulation strategy can improve the accuracy in running MNIST and CIFAR-10 by $1.3\times $ and $2.6\times $ with nearly no management penalty and hardware cost. The experimental results also show the close-to-ideal-case accuracy by substantially reducing analog variation errors.
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- 2020
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14. A Fast Route Towards Freestanding Single-Crystalline Oxide Thin Films by Using YBa2Cu3O7-x as a Sacrificial Layer
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Yi Chou, Jhih Bang Yi, Ping Chun Wu, Yi-Chia Chou, Yu Chen Liu, Jan Chi Yang, and Yao Wen Chang
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Materials science ,Oxide ,Nanochemistry ,Pulsed laser deposition ,Nanotechnology ,02 engineering and technology ,010402 general chemistry ,Epitaxy ,01 natural sciences ,chemistry.chemical_compound ,Freestanding ,lcsh:TA401-492 ,General Materials Science ,Thin film ,Nano Express ,business.industry ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,YBa2Cu3O7-x sacrificial layer ,0104 chemical sciences ,Semiconductor ,chemistry ,Nanoelectronics ,lcsh:Materials of engineering and construction. Mechanics of materials ,0210 nano-technology ,business ,Layer (electronics) - Abstract
Researchers have long been seeking multifunctional materials that can be adopted for next-generation nanoelectronics, and which, hopefully, are compatible with current semiconductor processing for further integration. Along this vein, complex oxides have gained numerous attention due to their versatile functionalities. Despite the fact that unbounded potential of complex oxides has been examined over the past years, one of the major challenges lies in the direct integration of these functional oxides onto existing devices or targeted substrates that are inherently incompatible in terms of oxide growth. To fulfill this goal, freestanding processes have been proposed, in which wet etching of inserted sacrificial layers is regarded as one of the most efficient ways to obtain epitaxial high-quality thin films. In this study, we propose using an alternative oxide, YBa2Cu3O7 (YCBO), as a sacrificial layer, which can be easily dissolved in light hydrochloric acid in a more efficient way, while protecting selected complex oxides intact. The high epitaxial quality of the selected complex oxide before and after freestanding process using YBCO as a sacrificial layer is comprehensively studied via a combination of atomic force microscopy, X-ray diffraction, transmission electron microscopy, and electrical transports. This approach enables direct integration of complex oxides with arbitrary substrates and devices and is expected to offer a faster route towards the development of low-dimensional quantum materials.
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- 2020
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15. Fecal Microbiota Transplantation: Redefining Surgical Management of Refractory Clostridium difficile Infection
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Monika Fischer and Yao Wen Cheng
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medicine.medical_specialty ,Toxic megacolon ,genetic structures ,medicine.drug_class ,business.industry ,Fulminant ,medicine.medical_treatment ,Antibiotics ,Gastroenterology ,Salvage therapy ,030230 surgery ,Clostridium difficile ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Refractory ,Internal medicine ,medicine ,Surgery ,Colitis ,business ,Colectomy - Abstract
Fecal microbiota transplantation (FMT) is the process of transplanting stool from a healthy donor into the gut of a diseased individual for therapeutic purposes. It has a clearly defined role in the treatment of recurrent Clostridium difficile (reclassified as “Clostridioides difficile”) infection (CDI), with cure rates over 90% and decreased rates of subsequent recurrence compared with anti-CDI antibiotics. There is emerging evidence that FMT is also effective in the treatment of severe and fulminant CDI, with associated decreases in mortality and colectomy rates compared with standard antibiotic therapy. FMT shows promise as salvage therapy for critically-ill CDI patients refractory to maximum medical therapy and not deemed to be surgical candidates. FMT should be considered early in the course of severe CDI and should be delivered immediately in patients with signs of refractory CDI. Expansion of FMT's use along the spectrum of CDI severity has potential to decrease associated rates of mortality and colectomy.
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- 2020
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16. Clinical management of severe, fulminant, and refractoryClostridioides difficileinfection
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Monika Fischer and Yao-Wen Cheng
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0301 basic medicine ,Microbiology (medical) ,High rate ,medicine.medical_specialty ,genetic structures ,business.industry ,medicine.medical_treatment ,Fulminant ,030106 microbiology ,Salvage therapy ,Fecal bacteriotherapy ,Clostridium difficile ,Microbiology ,03 medical and health sciences ,0302 clinical medicine ,Infectious Diseases ,Refractory ,Virology ,medicine ,030212 general & internal medicine ,Intensive care medicine ,business ,Clostridioides ,Colectomy - Abstract
Introduction: Up to 15% of hospitalized patients with Clostridioides difficile infection (CDI) develop severe CDI (SCDI) or Fulminant CDI (FCDI). Due to high rates of mortality in medically-refractory CDI cases, 30% of patients with severe infection historically require surgical intervention. However, colectomy itself is an imperfect solution because it is difficult to predict who will fail medical therapy, patients with SCDI are more likely to have underlying medical conditions that make them poor surgical candidates, and post-surgical mortality still approaches 30-50%.Areas covered: This review will serve as a clinically-based review of severe and fulminant CDI management including discussion of models to predict severe infection, emerging treatments, novel targets for therapy, and innovations in surgical management.Expert opinion: Among the most promising studies to emerge in the last decade have involved fecal microbiota transplantation (FMT), which is already recommended by multiple society guidelines for recurrent CDI (RCDI). In the case of SCDI/FCDI, multiple studies have safely and successfully utilized FMT to produce rates of cure in the 70-90% range. Additionally, patients who have FCDI refractory to medical therapy and are poor candidates for colectomy may benefit from FMT as salvage therapy.
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- 2020
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17. Expression Changes, Prognostic Analysis and Risk Factors of miR-625-3p and miR-449a in Osteosarcoma Patients after Surgery
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Hui Zhang, Yao-Wen Qian, Yuxin Song, Fu-Qiang Zhang, Lin Liu, and Zhan Wang
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Oncology ,Mir 449a ,business.industry ,Cancer research ,Medicine ,Osteosarcoma ,business ,medicine.disease - Published
- 2020
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18. Safety and efficacy of vacuum bottle plus catheter for drainage of iatrogenic pneumothorax
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Huey-Dong Wu, Shih-Yu Chen, Chao-Chi Ho, Yao-Wen Kuo, and Hao-Chien Wang
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Pulmonary and Respiratory Medicine ,Adult ,medicine.medical_specialty ,Iatrogenic pneumothorax ,business.product_category ,Catheters ,Vacuum ,business.industry ,Iatrogenic Disease ,Pneumothorax ,Surgery ,Catheter ,Young Adult ,medicine ,Bottle ,Drainage ,Humans ,Prospective Studies ,business - Abstract
Background Iatrogenic pneumothorax is common after thoracic procedures. For patients with pneumothorax larger than 15%, simple aspiration is suggested. Although vacuum bottle plus non-tunneled catheter drainage has been performed in many institutions, its safety and efficacy remain to be assessed. Methods Through this prospective cohort study (NCT03724721), we evaluated the safety and efficacy of vacuum bottle plus non-tunneled catheter drainage. Patients older than 20 years old who developed post-procedural pneumothorax were enrolled. A non-tunneled catheter was placed at the intersection of the midclavicular line and the second intercostal space. A 3-way stopcock, a drainage set, and a digital pressure gauge were connected. The stopcock was manipulated to connect the pleural space to the pressure gauge for measurement of end-expiration intrapleural pressure or to the vacuum bottle for air drainage. The rate of successful drainage, the end-expiration intrapleural pressure before, during, and after the procedure and the duration of hospitalization were recorded. Results From August 2018 to February 2020, 21 patients underwent vacuum bottle plus catheter drainage (intervention group) and 31 patients received conservative treatment (control group). The end-expiration intrapleural pressure of all patients remained less than − 20 cmH2O during drainage. No procedure related complication was observed. Large pneumothorax (≥ 15%) was associated with higher risk of persistent air leak (Odds ratio 12, 95% CI 1.2–569.7). Vacuum bottle assisted air drainage yielded shorter event-free duration than that of conservative treatment (2 days vs 5 days [interquartile range 1–4 days vs 3–7 days], p p = .45). Conclusions Vacuum bottle plus catheter drainage of iatrogenic pneumothorax is a safe and efficient procedure. It may be considered as an alternative management of stable post-procedural pneumothorax with size larger than 15%. Trial registration The study protocol was approved by the Research Ethics Committee of National Taiwan University Hospital (No. 201805105DINA) on 6th August, 2018. The first participant was enrolled on 23rd August, 2018 after Research Ethics Committee approval. This clinical trial complete registration at U.S. National Library of Medicine clinicaltrials.gov with identifier NCT03724721 and URL: https://clinicaltrials.gov/ct2/show/NCT03724721 on 30th October, 2018.
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- 2022
19. Ultrasound-guided Hydrodissection and Myotomy in a Case of Soleus Canal Syndrome
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Matthew O'Reilly and Yao-Wen Eliot Hu
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Myotomy ,medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Public Health, Environmental and Occupational Health ,General Medicine ,Ultrasound guided ,Surgery ,medicine ,Humans ,Orthopedics and Sports Medicine ,Muscle, Skeletal ,business ,Ultrasonography, Interventional - Published
- 2021
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20. Computer-assisted cannulated screw internal fixation versus conventional cannulated screw internal fixation for femoral neck fractures: a systematic review and meta-analysis
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Kehu Yang, Tingting Lu, Qing-hao Cheng, Peng-Biao Li, Yao-wen Qian, Wen-Fei Di, and Shi-fang Guo
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medicine.medical_specialty ,Percutaneous ,medicine.medical_treatment ,Bone Screws ,Diseases of the musculoskeletal system ,Bone healing ,Cochrane Library ,Femoral Neck Fractures ,Fracture Fixation, Internal ,Femur Head Necrosis ,medicine ,Humans ,Internal fixation ,Orthopedics and Sports Medicine ,Femoral neck ,Fixation (histology) ,Orthopedic surgery ,Computers ,business.industry ,Surgery ,Treatment Outcome ,medicine.anatomical_structure ,RC925-935 ,Systematic Review ,business ,RD701-811 - Abstract
Objective To compare the effects between computer-assisted and traditional cannulated screw internal fixation on treating femoral neck fracture. Methods The search was conducted in Embase, Pubmed, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI) and Wanfang Database from the beginning to August 2020. RevMan5.4 software, which was provided by the International Cochrane Group, was used for the meta-analysis comparing the differences in operation time, intraoperative bleeding volume, fluoroscopy frequency, fracture healing time, total drilling times, Harris score, fracture healing rate, and femoral head necrosis rate between computer-assisted and traditional methods groups. Results A total of 1028 patients were included in 16 studies. Primary outcome indicators: Compared with the traditional method group, the computer-assisted group had less operative time (2RCTs, P P = 0.009; Overall, P P P P P = 0.11;7 non-RCTs, P = 0.09; Overall, P = 0.02) and higher Harris scores (1 RCT, P P = 0.0002; Overall, P P = 0.17). Secondary outcomes indicators: The computer-assisted group had a lower frequency of intraoperative fluoroscopy and total number of drills compared with the traditional method group, while there was no significant difference in fracture healing time. Conclusion Compared with the traditional hollow screw internal fixation on the treatment of femoral neck fracture, computer-assisted percutaneous cannulated screw fixation can shorten the operation time and improve the operation efficiency and reduce the X-ray injury of medical staff and help patients obtain a better prognosis. Therefore, computer-assisted percutaneous cannulated screw fixation is a better choice for the treatment of femoral neck fracture. Study registration PROSPERO registration number CRD42020214493.
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- 2021
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21. Creation of a ustekinumab external control arm for Crohn’s disease using electronic health records data: a pilot study
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Ngozi Erondu, Mark Curran, Colin Feuille, Olivia Roberson, Jonathan Y. Shih, Yao-Wen Cheng, Benjamin E. Rubin, Saquib Rahim, Christel Chehoud, Yongmei Shi, David Apfel, Nicholas Skomrock, Najat S. Khan, Uma Mahadevan, Atul J. Butte, Vivek A. Rudrapatna, Arman Mosenia, Natalie A. Terry, Benjamin D Martini, Christopher D. O'Brien, and Ramagopalan, Sreeram V
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medicine.medical_specialty ,General Science & Technology ,Pilot Projects ,Crohn Disease ,Clinical Research ,Ustekinumab ,Humans ,Electronic Health Records ,Medicine ,Prospective Studies ,Imputation (statistics) ,Prospective cohort study ,Retrospective Studies ,Crohn's disease ,Multidisciplinary ,business.industry ,Retrospective cohort study ,medicine.disease ,Missing data ,Good Health and Well Being ,Cohort ,Physical therapy ,Patient Safety ,Generic health relevance ,Digestive Diseases ,business ,medicine.drug ,Cohort study - Abstract
ObjectivesThe use of external control arms to study treatment effects is growing in interest among drug sponsors and regulators. However, experience with performing these kinds of studies for complex, immune-mediated diseases is limited. We sought to analyze a retrospective cohort of Crohn’s patients to predict the outcome of a prospective cohort.MethodsWe queried electronic health records databases and screened records at the University of California, San Francisco to identify patients meeting the eligibility criteria of TRIDENT, a concurrent trial involving ustekinumab as a reference arm. Timepoints were defined to balance the tradeoff between missing disease activity and bias. We compared two imputation models by their impacts on cohort membership and outcomes. We compared the results of ascertaining disease activity using structured data algorithms against manual review. We used these data to estimate ustekinumab’s real-world effectiveness.ResultsScreening identified 183 patients. 30% of the cohort had missing baseline data. Two imputation models were tested and had similar effects on cohort definition and outcomes. Algorithms for ascertaining non-symptom-based elements of disease activity were similar in accuracy to manual review. The final cohort consisted of 56 patients. 34% of the cohort was in steroid-free clinical remission by week 24.ConclusionsWe predict that a third of the ustekinumab-treated cohort in TRIDENT will be in steroid-free remission by week 24. However, our prediction is limited by substantial missing data. Efforts to improve real-world data capture and align trial design with clinical practice may enable more robust future studies and improve trial efficiency.STUDY HIGHLIGHTSWHAT IS KNOWNExternal control arm studies are receiving growing interest from drug sponsors and regulators as a potential source of real-world evidenceHowever, the feasibility and robustness of this approach is currently limitedUstekinumab is an FDA-approved treatment of moderately to severely active Crohn’s diseaseWHAT IS NEW HEREWe derived a retrospective cohort of patients designed to resemble the participants of TRIDENT, a concurrent phase 2b trial using ustekinumab as a reference armWe predict that about 34% of the ustekinumab-assigned participants in TRIDENT will be in steroid-free clinical remission by week 24.EHR structured data algorithms may be an accurate and less laborious alternative to manual abstraction of non-symptom-based components of the Crohn’s Disease Activity IndexReal-world practice differs from controlled studies in important ways, including the treatment goals and the timing of encountersThese differences can pose challenges to the feasibility of external control arm studies, and must be addressed to enable this novel study designThe methods, data, and code used in this pilot study are shared here for reproducibility and enhancement by others
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- 2021
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22. 845 A colony stimulating factor 1 receptor-blocking bifunctional protein simultaneously targets tumor-associated macrophages and exhausted T cells for the treatment of triple-negative breast cancer
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Hung-Kai Chen, Huey-Wen Hsiao, Pandelakis Koni, Chih-Lun Hsiao, Muh Hwa Yang, Yao-Wen Chang, Ju-Pei Chen, and Jing-Yi Huang
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Pharmacology ,Cancer Research ,Tumor microenvironment ,business.industry ,Immunology ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Monocyte proliferation ,medicine.disease ,Metastasis ,Colony stimulating factor 1 receptor ,Oncology ,Tumor progression ,Cancer research ,Molecular Medicine ,Immunology and Allergy ,Medicine ,Cytotoxic T cell ,business ,CD8 ,Triple-negative breast cancer ,RC254-282 - Abstract
BackgroundTumor-associated macrophages (TAMs) are a significantly-poor prognostic factor for patients with triple-negative breast cancer (TNBC). The tumor microenvironment of TNBC features highly-infiltrating TAMs that contribute to tumor progression and metastasis. Therefore, TAM-targeted immunotherapies are recognized as a potential approach for treating TNBC. However, depleting TAMs alone by use of monoclonal antibodies against colony-stimulating factor 1 receptor (CSF1R) was insufficient to cause substantial tumor control. Recent studies revealed that interleukin-10 (IL-10) can directly activate terminally-exhausted CD8+ T cells to boost anti-tumor activity. We set forth to investigate whether a combination of anti-CSF1R antibody with a half-life-extended IL-10-Fc fusion protein (IL-10-Fc) may enhance anti-tumor immunity, and whether synergistic effects could be achieved with bifunctional antibody forms.MethodsAntibodies and recombinant proteins were produced in-house. In vitro CSF1R activity was evaluated by Western blot analysis of CSF1-mediated CSF1R phosphorylation and monocyte proliferation assays. In vitro IL10 activity was evaluated by MC/9 cell proliferation and CD8 T cell activation assays. 4T1 mouse breast tumor studies were performed at the National Yang Ming Chiao Tung University (Taiwan). Other tumor model studies employed the services of Crownbio (China). Methods of RNAseq analysis of 4T1 tumor masses included Cibersort, gene set enrichment analysis (GSEA) and immune gene signature score analysis.ResultsCo-treatment with a recombinant human IL-10-Fc protein significantly improved the anti-tumor efficacy of anti-mouse CSF1R antibody in a mouse CT26 colon tumor model. It was then hypothesized that a better synergistic effect could be achieved by a bifunctional anti-mouse CSF1R-IL-10 fusion protein (anti-mCSF1R-IL-10), to allow targeted-delivery of IL-10 to CSF1R-positive-TAM-rich tumor microenvironments. Indeed, anti-mCSF1R-IL-10 showed greatly increased anti-tumor efficacy in both EMT-6 and 4T1 mouse models of breast cancer. Consistent with the in vivo efficacy, gene expression profiling revealed an enhanced intratumoral interferon-gamma signature by treatment with anti-mCSF1R-IL-10 as compared to either anti-mCSF1R or IL-10-Fc alone. An anti-human CSF1R-IL-10 (hCSF1R-IL-10) was also constructed using a newly-produced anti-human CSF1R antibody and tested in cell-based functional assays, demonstrating that anti-hCSF1R-IL-10 could both inhibit CSF1-dependent cell growth and activate tumor-infiltrating T cells isolated from tumor biopsies of triple-negative breast cancer patients. Further validation of this bifunctional form will be presented.ConclusionsOur findings provide a potential strategy for simultaneously targeting TAM and exhausted T cells to potentiate anti-tumor immunity for treatment of triple-negative breast cancer.Ethics ApprovalThe studies were approved by the institutional animal care and use committee of National Yang Ming Chiao Tung University; approval numbers 1081025 and 109060.
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- 2021
23. Design and implementation of a generic 5G user plane function development framework
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Chien Chen, Cheng-Ying Hsieh, Yao-Wen Chang, and Jyh-Cheng Chen
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Flexibility (engineering) ,business.industry ,Plane (geometry) ,Computer science ,media_common.quotation_subject ,Packet processing ,Personalization ,Development (topology) ,Transmission (telecommunications) ,business ,Function (engineering) ,5G ,Computer network ,media_common - Abstract
In 5G, the requirement of transmission latency is stricter than that in 4G. To enhance transmission efficiency, a user plane function (UPF) with a specific packet processing mechanism is necessary. However, UPF must communicate with the session management function (SMF), which will send the packet processing rules to UPF. Those rules will substantially occupy UPF storage. Moreover, customizing a UPF needs to reconstruct N3, N4, N6, and N9 interfaces, which takes much time for developers. To this end, we propose the user plane function development framework (UPFDF), which modularizes the functions in the UPF, supporting customization to connect different types of packet processing mechanisms. With UPFDF, we address the UPF capacity problem and improve the flexibility of the system.
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- 2021
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24. CPAP enhances and maintains chronic inflammation in hepatocytes to promote hepatocarcinogenesis
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Hung Wen Tsai, Yao-Wen Liu, Chia Jui Yen, Yih Jyh Lin, Liang Yi Hung, Ruo-Yu Chen, Ting-Fen Tasi, Ju Ming Wang, Yu-Chuan Huang, and Ming-Hao Lee
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Cancer Research ,Chemokine ,Carcinoma, Hepatocellular ,medicine.medical_treatment ,Transgene ,Immunology ,Inflammation ,medicine.disease_cause ,Article ,Proinflammatory cytokine ,Mice ,Cellular and Molecular Neuroscience ,Gene expression ,Animals ,Humans ,Medicine ,STAT3 ,QH573-671 ,biology ,business.industry ,Liver Neoplasms ,Cell Biology ,digestive system diseases ,respiratory tract diseases ,Cytokine ,Chronic Disease ,Hepatocytes ,biology.protein ,Cancer research ,Tumour immunology ,medicine.symptom ,Cytology ,business ,Carcinogenesis ,Microtubule-Associated Proteins ,Liver cancer - Abstract
Chronic and persistent inflammation is a well-known carcinogenesis promoter. Hepatocellular carcinoma (HCC) is one of the most common inflammation-associated cancers; most HCCs arise in the setting of chronic inflammation and hepatic injury. Both NF-κB and STAT3 are important regulators of inflammation. Centrosomal P4.1-associated protein (CPAP), a centrosomal protein that participates primarily in centrosome functions, is overexpressed in HCC and can increase TNF-α-mediated NF-κB activation and IL-6-induced STAT3 activation. A transgenic (Tg) mouse model with hepatocyte-specific CPAP expression was established to investigate the physiological role of CPAP in hepatocarcinogenesis. Obvious inflammatory cell accumulation and fatty change were observed in the livers of CPAP Tg mice. The alanine aminotransferase (ALT) level and the expression levels of inflammatory genes, such as IL-6, IL-1β and TNF-α, were higher in CPAP Tg mice than in wild type (WT) mice. High-dose/short-term treatment with diethylnitrosamine (DEN) increased the ALT level, proinflammatory gene expression levels, and STAT3 and NF-κB activation in CPAP Tg mice; low-dose/long-term DEN treatment induced more severe liver tumor formation in CPAP Tg mice than in WT mice. CPAP can increase the expression of chemokine (C-C motif) ligand 16 (CCL-16), an important chemotactic cytokine, in human hepatocytes. CCL-16 expression is positively correlated with CPAP and TNF-α mRNA expression in the peritumoral part of HCC. In summary, these results suggest that CPAP may promote hepatocarcinogenesis through enhancing the inflammation pathway via increasing the expression of CCL-16.
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- 2021
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25. Broadband Measurement of Dielectric Constant on FR-4 PCB by Using Discontinuous Microstrip Lines
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Chia-An Chen, Yao-Wen Hsu, Shi-Han Qiu, Hao-Hui Chen, and Shao-Jie Shen
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Materials science ,FR-4 ,business.industry ,Broadband ,Optoelectronics ,Dielectric ,business ,Microstrip - Published
- 2021
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26. The magnet system of the Space Plasma Environment Research Facility (SPERF): Parameter design and electromagnetic analysis
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Peng E, Fengyu Xu, Yongxing Xu, Bing Lin, Hao Huiping, Yao-wen Lu, Wenbin Ling, Xiangchun Bai, Qingmei Xiao, Chun-xi Chen, Weng Xudong, Chenggang Jin, Guang-liang Zhu, and Aohua Mao
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010302 applied physics ,Physics ,Dense plasma focus ,business.industry ,Magnetosphere ,Magnetic reconnection ,Parameter design ,01 natural sciences ,010305 fluids & plasmas ,Magnetic field ,Magnet ,Physics::Space Physics ,0103 physical sciences ,Magnetopause ,Astrophysical plasma ,Aerospace engineering ,business ,Instrumentation - Abstract
A magnet system is used in the SPERF to create the magnetic field configuration for simulating the space plasma environment. In this paper, the parameters of the system are designed to achieve the target fields needed by the scaling laws, and the electromagnetic analysis has been performed to validate the results. A procedure to obtain the parameters is proposed based on the investigation into the physical and technological constraints. The vacuum magnetic fields for studying the 3D magnetic reconnection at the magnetopause, Earth’s magnetosphere, and 3D magnetic reconnection driven by a plasma gun are computed. In addition, the engineering complexity is reviewed in brief. This research is crucial to the construction of the SPERF, and it is valuable to designing the magnets applied in other fields.
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- 2021
27. Gapless van der Waals Heterostructures for Infrared Optoelectronic Devices
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Sabir Hussain, Yao Wen, Yuyu Yao, Feng Wang, Jun He, Chao Jiang, Lei Yin, Marshet Getaye Sendeku, Qisheng Wang, Ruiqing Cheng, Yu Zhang, Zhenxing Wang, and Peng He
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Coupling ,Van der waals heterostructures ,Materials science ,business.industry ,Infrared ,General Engineering ,General Physics and Astronomy ,Heterojunction ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Condensed Matter::Materials Science ,symbols.namesake ,Gapless playback ,Physics::Atomic and Molecular Clusters ,symbols ,Optoelectronics ,General Materials Science ,van der Waals force ,0210 nano-technology ,business - Abstract
Mixed-dimensional van der Waals (vdW) heterostructures based on two-dimensional (2D) materials exhibit immense potential in infrared optoelectronic applications. However, the weak vdW coupling results in limiting performance of infrared optoelectronic device. Here, we exploit a gapless heterostructure that S dangling bonds of nonlayered PbS are connected to the bonding sites of MoS
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- 2019
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28. Treatment of Severe and Fulminnant Clostridioides difficile Infection
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Monika Fischer and Yao-Wen Cheng
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medicine.medical_specialty ,genetic structures ,medicine.diagnostic_test ,medicine.drug_class ,business.industry ,Fulminant ,medicine.medical_treatment ,Antibiotics ,Gastroenterology ,Colonoscopy ,medicine.disease ,Inflammatory bowel disease ,Comorbidity ,03 medical and health sciences ,Diarrhea ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Internal medicine ,medicine ,030211 gastroenterology & hepatology ,Fidaxomicin ,medicine.symptom ,business ,medicine.drug ,Colectomy - Abstract
Purpose of review This article will review current management strategies for severe and fulminant Clostridioides difficile infection (CDI). Recent findings Clostridioides difficile is the most common nosocomial cause of infectious diarrhea. With the rise of hypervirulent strains of CDI, almost 8% of patients hospitalized with CDI are afflicted with severe CDI (SCDI) or fulminant CDI (FCDI). A significant proportion of these patients do not respond to recommended anti-CDI antibiotic therapy such as oral vancomycin and fidaxomicin. Current recommendations suggest that patients with refractory CDI should proceed to colectomy or diverting loop ileostomy with colonic lavage. However, both of these surgical interventions result in high rates of post-surgical mortality approaching 30%. Fecal microbiota transplantation (FMT) is a promising therapy that is recommended in recurrent CDI. Recent studies have found that FMT can safely produce cure rates between 70 and 90% in patients with SCDI and FCDI, while significantly decreasing rates of CDI-related mortality and colectomy. A patient population likely to benefit the most from FMT is elderly patients due to their increased risk for CDI, treatment failure, and high comorbidity burden that may preclude surgical intervention. FMT should be considered in patients with SCDI or FCDI particularly when traditional anti-CDI antibiotics are ineffective.
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- 2019
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29. CPAP promotes angiogenesis and metastasis by enhancing STAT3 activity
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Yih Jyh Lin, Chieh Yu Weng, Yao Wen Liu, Ruo Yu Chen, Chien Hsien Lai, Liang Yi Hung, Chia Jui Yen, Chun Guo Guo, and Ju Ming Wang
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0301 basic medicine ,Angiogenesis ,Mice, SCID ,Metastasis ,0302 clinical medicine ,Cell Movement ,Mice, Inbred NOD ,Medicine ,Neoplasm Metastasis ,STAT3 ,Neovascularization, Pathologic ,biology ,Liver Neoplasms ,Cell migration ,Gene Expression Regulation, Neoplastic ,Hyaluronan Receptors ,030220 oncology & carcinogenesis ,Microtubule-Associated Proteins ,therapeutics ,circulatory and respiratory physiology ,Signal Transduction ,STAT3 Transcription Factor ,Carcinoma, Hepatocellular ,Angiogenesis Pathway ,Article ,src Homology Domains ,03 medical and health sciences ,In vivo ,Cell Line, Tumor ,Human Umbilical Vein Endothelial Cells ,Animals ,Humans ,Molecular Biology ,Cell Proliferation ,Interleukin-6 ,business.industry ,Interleukin-8 ,CD44 ,Cell Biology ,medicine.disease ,digestive system diseases ,nervous system diseases ,respiratory tract diseases ,030104 developmental biology ,biology.protein ,Cancer research ,business ,Tumour angiogenesis ,Ex vivo - Abstract
Centrosomal P4.1-associated protein (CPAP) is overexpressed in hepatocellular carcinoma (HCC) and positively correlated with recurrence and vascular invasion. Here, we found that CPAP plays an important role in HCC malignancies. Functional characterization indicated that CPAP overexpression increases tumor growth, angiogenesis, and metastasis ex vivo and in vivo. In addition, overexpressed CPAP contributes to sorafenib resistance. Mechanical investigation showed that the expression level of CPAP is positively correlated with activated STAT3 in HCC. CPAP acts as a transcriptional coactivator of STAT3 by directly binding with STAT3. Interrupting the interaction between CPAP and STAT3 attenuates STAT3-mediated tumor growth and angiogenesis. Overexpression of CPAP upregulates several STAT3 target genes such as IL-8 and CD44 that are involved in angiogenesis, and CPAP mRNA expression is positively correlated with the levels of both mRNAs in HCC. Knocked-down expression of CPAP impairs IL-6-mediated STAT3 activation, target gene expression, cell migration, and invasion abilities. IL-6/STAT3-mediated angiogenesis is significantly increased by CPAP overexpression and can be blocked by decreased expression of IL-8. Our findings not only shed light on the importance of CPAP in HCC malignancies, but also provide potential therapeutic strategies for inhibiting the angiogenesis pathway and treating metastatic HCC.
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- 2019
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30. Synthesis and Optoelectronic Applications of a Stable p-Type 2D Material: α-MnS
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Ruiqing Cheng, Jun He, Yuyu Yao, Jie Li, Junjun Wang, Yu Zhang, Yao Wen, Ningning Li, Wenhao Huang, Zhenxing Wang, and Marshet Getaye Sendeku
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Materials science ,business.industry ,General Engineering ,Wide-bandgap semiconductor ,General Physics and Astronomy ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Semiconductor ,Optoelectronics ,General Materials Science ,0210 nano-technology ,business - Abstract
α-MnS, as a nonlayered p-type material with a wide band gap of 2.7 eV, has been expected to supplement the scarcity of two-dimensional (2D) p-type semiconductors, which are desperately required for...
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- 2019
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31. Clinicopathologic Features and Treatment Characteristics of Congenital Corneal Opacity Infants and Children Aged 3 Years or Less: A Retrospective Single Institution Analysis
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Zhiqiang Pan, Yao-Wen Song, Qi Lin, Sen Miao, Yingnan Zhang, and Yang Liu
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Male ,0301 basic medicine ,China ,medicine.medical_specialty ,Eye Diseases ,genetic structures ,020205 medical informatics ,Ultrasound biomicroscopy ,Physical examination ,Comorbidity ,02 engineering and technology ,Congenital Abnormalities ,03 medical and health sciences ,Corneal Opacity ,Cataracts ,Anterior Eye Segment ,Risk Factors ,Ophthalmology ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Humans ,Medical history ,Eye Abnormalities ,Sclerocornea ,Pathological ,Retrospective Studies ,Original Paper ,medicine.diagnostic_test ,business.industry ,Infant ,Dystrophy ,General Medicine ,medicine.disease ,eye diseases ,Treatment Outcome ,Child, Preschool ,Tears ,Female ,sense organs ,030101 anatomy & morphology ,business - Abstract
Objective: In this retrospective single institution study, we investigated the clinicopathologic features and treatment characteristics of 90 patients with congenital corneal opacities (CCO) (117 eyes) who were 3 years and younger and treated at our hospital. Subject and Methods: We reviewed the clinical data of patients with CCO who presented for the first time for treatment at our hospital between January 1, 2017, and December 31, 2017. CCO were classified using the “STUMPED” (Sclerocornea, Tears in Descement’s membrane, Metabolic, Peters, Endothelial dystrophy and Dermoid) method and confirmed by pathological examination. Results: Seventy percent of the patients had unilateral CCO. Iridocorneal adhesions (61 eyes, 52.1%) and cataracts (22 eyes, 18.8%) were the 2 most common ocular abnormalities. Systemic abnormalities were present in 5 patients (5.6%), including growth retardation (4 patients) and congenital brain defects (1 patient). Eighty-five eyes (72.6%) underwent penetrating keratoplasty (PK), and lamellar keratoplasty (LK) was performed in 30 (25.6%) eyes. Forty-seven (95.9%) eyes with Peters anomaly and all 16 eyes with sclerocornea received PK, and all 24 eyes with dermoids were treated with LK. Conclusion: Our study demonstrates that CCO has varied manifestations in infants and young children in China. A thorough medical history, careful clinical examination, and the use of accessory examinations such as ultrasound biomicroscopy are critical for the accurate diagnosis and classification of CCO and to provide guidance on therapeutic choices.
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- 2019
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32. Sequential Treatment of Cell Cycle Regulator and Nanoradiosensitizer Achieves Enhanced Radiotherapeutic Outcome
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Hong-Yin Wang, Huan-Huan Ran, Ge Gao, Yan-Hong Li, Ningning Ma, Liu-Yuan Xia, Peidang Liu, Fu-Gen Wu, Yao-Wen Jiang, Xiaotong Cheng, and Xiaodong Zhang
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Oncology ,Cell cycle regulator ,medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Biochemistry (medical) ,Biomedical Engineering ,Cancer ,General Chemistry ,medicine.disease ,Sequential treatment ,Outcome (game theory) ,Biomaterials ,Radiation therapy ,Internal medicine ,medicine ,business - Abstract
Nanoradiosensitizers are promising agents for enhancing cancer radiotherapeutic efficiency. Although many attempts have been adopted to improve their radiation enhancement effect through regulation of their size, shape, and/or surface chemistry, few methods have achieved satisfactory radiotherapeutic outcomes. Herein, we propose a sequential drug treatment strategy through cell cycle regulation for achieving improved radiotherapeutic performance of the nanoradiosensitizers. Docetaxel (DTX), a clinically approved first-line drug in breast cancer treatment, is first used to affect the cell cycle distribution and arrest cells in the G2/M phase, which has been proven to be the most effective phase for endocytosis and the most radiosensitive phase for radiotherapy. The cells are then exposed to a commonly used nanoradiosensitizer, gold nanoparticles (GNPs), followed by X-ray irradiation. It is found that by arresting the cancer cells in G2/M phase via the DTX pretreatment, the cellular internalization of GNPs is significantly promoted, therefore enhancing the radiosensitivity of cancer cells. The sensitization enhancement ratio of this sequential DTX/GNP treatment reaches 1.91, which is significantly higher than that (1.29) of GNP treatment. Considering its low cost, simple design, and high feasibility, this sequential drug delivery strategy may hold great potential in radiotherapy.
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- 2019
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33. Sub-millimeter-Scale Growth of One-Unit-Cell-Thick Ferrimagnetic Cr2S3 Nanosheets
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Yu Zhang, Ruiqing Cheng, Chunchun Wu, Yao Wen, Ruixi Qiao, Zhenxing Wang, Yanrong Li, Junwei Chu, Peng He, Feng Wang, Jie Xiong, Lei Yin, and Jun He
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Materials science ,Spintronics ,business.industry ,Mechanical Engineering ,Bioengineering ,02 engineering and technology ,General Chemistry ,Coercivity ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Semiconductor ,Ferrimagnetism ,Magnet ,Monolayer ,Optoelectronics ,General Materials Science ,0210 nano-technology ,business ,Single crystal ,Néel temperature - Abstract
Two-dimensional (2D) magnetic materials provide an ideal platform for the application in spintronic devices due to their unique spin states in nanometer scale. However, recent research on the exfoliated monolayer magnetic materials suffers from the instability in ambient atmosphere, which needs extraordinary protection. Hence the controllable synthesis of 2D magnetic materials with good quality and stability should be addressed. Here we report for the first time the van der Waals (vdW) epitaxial growth of one-unit-cell-thick air-stable ferrimagnet Cr2S3 semiconductor via a facile chemical vapor deposition method. Single crystal Cr2S3 with the domain size reaching to 200 μm is achieved. Most importantly, we observe the as grown Cr2S3 with a Neel temperature (TN) of up to 120 K and a maximum saturation magnetic momentum of up to 65 μemu. As the temperature decreases, the samples show a transition from soft magnet to hard magnet with the highest coercivity of 1000 Oe. The one-unit-cell-thick Cr2S3 devices sh...
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- 2019
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34. Profit inefficiency decomposition in a serial-structure system with resource sharing
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Junfei Chu, Qingxian An, Yao Wen, and Xiaohong Chen
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Marketing ,021103 operations research ,Strategy and Management ,0211 other engineering and technologies ,02 engineering and technology ,Management Science and Operations Research ,Profit (economics) ,Management Information Systems ,Shared resource ,Microeconomics ,Structure system ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Business ,Allocative efficiency ,Inefficiency - Abstract
Previous studies have used overall profit inefficiency (OPI) to assess the overall profit improvement of firms and decomposed OPI into technical and allocative components to identify the sp...
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- 2019
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35. Reducing porcine corneal graft rejection, with an emphasis on porcine endogenous retrovirus transmission safety: a review
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Yao-Wen Song and Zhiqiang Pan
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porcine endothelial grafts ,medicine.medical_treatment ,Xenotransplantation ,Review Article ,Virus ,genetically modified pigs ,costimulatory blockade drugs ,lcsh:Ophthalmology ,In vivo ,medicine ,Corneal transplantation ,biology ,business.industry ,wild type pigs ,porcine endogenous retrovirus safety ,In vitro ,eye diseases ,Genetically modified organism ,Transplantation ,Ophthalmology ,corneal xenotransplantation ,lcsh:RE1-994 ,Immunology ,biology.protein ,sense organs ,Antibody ,business - Abstract
Donor cornea shortage is a primary hurdle in the development of corneal transplantation. Of all species, porcine corneas are the ideal transplantation material for humans. However, the xenoimmune rejection induced by porcine corneal xenotransplantation compromises surgical efficacy. Although the binding of IgM/IgG in human serum to a genetically modified porcine cornea is significantly weaker than that of the wild type (WT), genetically modified porcine corneas do not display a prolonged graft survival time in vivo. Conversely, costimulatory blockade drugs, such as anti-CD40 antibodies, can reduce the xenoimmune response and prolong graft survival time in animal experiments. Moreover, porcine endothelial grafts can survive for more than 6mo with only the subconjunctival injection of a steroid-based immunosuppressants regime; therefore, they show great value for treating corneal endothelial disease. In addition, zoonotic transmission is a primary concern of xenotransplantation. Porcine endogenous retrovirus (PERV) is the most significant virus assessed by ophthalmologists. PERV integrates into the porcine genome and infects human cells in vitro. Fortunately, no evidence from in vivo studies has yet shown that PERV can be transmitted to hosts.
- Published
- 2019
36. Dependence of Internal Quantum Efficiency of GaN-based Yellow LED with Si Substrate on Electron Blocking Layer with Variable Al Composition
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潘 拴 Pan Shuan, 全知觉 Quan Zhi-jue, 刘军林 Liu Jun-lin, 高江东 Gao Jiang-dong, 江风益 Jiang Feng-yi, 张建立 Zhang Jan-li, and 胡耀文 Hu Yao-wen
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Radiation ,Materials science ,Si substrate ,business.industry ,Optoelectronics ,Quantum efficiency ,Composition (combinatorics) ,Condensed Matter Physics ,business ,Electron blocking layer ,Electronic, Optical and Magnetic Materials - Published
- 2019
- Full Text
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37. All-dielectric metasurface with ultrahigh color filtering and polarization-independent/dependent characteristics
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Kunlin Chen, Yao Wen, Rongpeng Fang, and Yu-Sheng Lin
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Optics ,Materials science ,business.industry ,General Physics and Astronomy ,Dielectric ,business ,Polarization (waves) - Abstract
The all-dielectric metasurface-based color filter (CF) has attracted huge interest in many fields due to its excellent optical properties. We present four metasurface-based CFs with different shapes on quartz substrates to generate blue (B), green (G), and red (R) spectra with high color purity. CFs show the maximum reflection intensities of 99.6% (B), 99.7% (G), and 95.1% (R), and their spectra bandwidths are 14, 16, and 13 nm for RGB colors, respectively. These proposed metasurface-based CFs possess high color saturation and ultra-narrow bandwidths. In addition, CFs with different shapes show the tunability of color switching and polarization-dependent characteristics. These CF designs will potentially benefit reflective display technologies, and the ultrahigh color filtering characteristics of CF-1 and CF-2 are particularly useful for high-resolution color printing and micro-LED. Moreover, the polarization-dependent characteristics of CF-3 and CF-4 make it possible for them to be applied as polarization switches, tunable color switches, and so on.
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- 2022
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38. Terahertz metamaterial resonator with tunable Fano-resonance characteristic
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Kunlin Chen, Yu-Sheng Lin, and Yao Wen
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Fano-resonance ,Materials science ,Terahertz radiation ,General Physics and Astronomy ,Physics::Optics ,02 engineering and technology ,01 natural sciences ,Electromagnetic radiation ,Resonator ,Metamaterial ,0103 physical sciences ,010302 applied physics ,Microelectromechanical systems ,business.industry ,Fano resonance ,Switch ,021001 nanoscience & nanotechnology ,Terahertz resonator ,lcsh:QC1-999 ,MEMS ,Modulation ,Reflection (physics) ,Optoelectronics ,0210 nano-technology ,business ,lcsh:Physics - Abstract
We present two types of tunable terahertz metamaterial (TTM) resonator. They are denoted as TTM-1 and TTM-2 for TTM resonators composed of a moveable metal frame carrying with inner disc and inner ring on Si substrates, respectively. The electromagnetic responses of TTM resonators are caused by the inductance-capacitance coupling effect between the incident THz wave into TTM structure. There is a Fano-resonance with a reflection intensity of 99% excited by electromagnetic wave within TTM-1 at 2.62 THz. By actively moving the metal frame in a specific direction, it enables a modulation of resonant frequency. The tuning ranges of TTM-1 and TTM-2 are 0.19 THz and 0.79 THz, respectively. Furthermore, TTM devices have the ability of anti-inference by moving metal frame transversely. It means TTM devices exhibit stable characteristic used in dynamic motion. Such designs of TTM configurations provide a high-efficiency THz resonator in the THz-waves applications such as filtering, switching, polarizing, sensing, and imaging fields.
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- 2021
39. Comparison of Etest and broth microdilution for evaluating the susceptibility of Staphylococcus aureus and Streptococcus pneumoniae to ceftaroline and of carbapenem-resistant Enterobacterales and Pseudomonas aeruginosa to ceftazidime/avibactam
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Yao-Wen Kuo, Chun-Hsing Liao, Lee-Jene Teng, Po-Ren Hsueh, and Yu-Tsung Huang
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Microbiology (medical) ,Methicillin-Resistant Staphylococcus aureus ,Staphylococcus aureus ,Klebsiella pneumoniae ,Avibactam ,Immunology ,Ceftazidime ,Microbial Sensitivity Tests ,medicine.disease_cause ,Microbiology ,Carbapenem-resistant ,Agreement ,chemistry.chemical_compound ,Ceftazidime/avibactam ,Disk Diffusion Antimicrobial Tests ,Streptococcus pneumoniae ,polycyclic compounds ,Immunology and Allergy ,Medicine ,Etest ,biology ,business.industry ,Broth microdilution ,biochemical phenomena, metabolism, and nutrition ,bacterial infections and mycoses ,Antimicrobial ,biology.organism_classification ,QR1-502 ,Anti-Bacterial Agents ,Cephalosporins ,Ceftaroline ,chemistry ,Carbapenems ,Pseudomonas aeruginosa ,bacteria ,business ,Azabicyclo Compounds ,Sensititre broth microdilution method ,medicine.drug - Abstract
Objectives: Decreased susceptibility to ceftazidime/avibactam (CZA) and ceftaroline (CPT) has been reported during antimicrobial resistance surveillance and therapy. Conventional laboratories are unable to provide timely susceptibility testing for CZA and CPT because these antimicrobial agents are not incorporated in automated susceptibility testing systems. Methods: We evaluated Etest and the Sensititre broth microdilution (BMD) method for testing CZA against carbapenem-resistant Gram-negative bacilli and CPT against important Gram-positive cocci bloodstream isolates. Genotypes of carbapenemases in Enterobacterales were also determined using the Xpert® Carba-R assay. Results: Etest showed ≥90% agreement with Sensititre BMD for carbapenem-resistant Klebsiella pneumoniae (CRKP) (n = 187), carbapenem-resistant Escherichia coli (CREC) (n = 28) and Streptococcus pneumoniae (n = 35); however, the very major error rate exceeded 3%. Agreement between Etest and Sensititre BMD was
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- 2021
40. Tunable Perfect Meta‐Absorber with High‐Sensitive Polarization Characteristic
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Yu-Sheng Lin, Zhaokang Liang, and Yao Wen
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polarization-dependence/independence ,Materials science ,business.industry ,Metamaterial ,Physics::Optics ,General Medicine ,QC350-467 ,Optics. Light ,Polarization (waves) ,High sensitive ,high sensitivity ,metamaterial ,TA1501-1820 ,perfect absorption ,Optoelectronics ,Applied optics. Photonics ,business ,electric split-ring resonator - Abstract
A tunable perfect meta‐absorber (PMA) composed of an electric split‐ring resonator (eSRR) and a cross‐shaped nanostructure is proposed. Owing to the electromagnetic coupling effect generated between dipole and inductive–capacitive (LC) resonances, the PMA exhibits perfect absorption, tunable resonance, variable optical attenuation, and switchable polarization‐dependence/independence characteristics. Furthermore, the PMA is demonstrated to be feasible for sensing applications. The PMA exhibits high sensing performance with a sensitivity of 1200 nm/RIU. Such results indicate that the proposed PMA can be used in variable optical attenuators, polarization switches, tunable absorbers, and sensors applications.
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- 2021
41. Timing-Driven Placement for FPGAs with Heterogeneous Architectures and Clock Constraints
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Yao-Wen Chang, Zhifeng Lin, Yanyue Xie, Gang Qian, Jun Yu, Sifei Wang, and Jianli Chen
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Resource (project management) ,Computer science ,Fpga architecture ,business.industry ,Embedded system ,Hardware_INTEGRATEDCIRCUITS ,Hardware_ARITHMETICANDLOGICSTRUCTURES ,Timing closure ,Field-programmable gate array ,business - Abstract
Modern FPGAs often contain heterogeneous architectures and clocking resources which must be considered to achieve desired solutions. As the design complexity keeps growing, placement has become critical for FPGA timing closure. In this paper, we present an analytical placement algorithm for heterogeneous FPGAs to optimize its worst slack and clock constraints simultaneously. First, a heterogeneity-aware and memory-friendly delay model is developed to accurately and rapidly assess each connection delay. Then, a two-stage clock region refinement method is presented to effectively resolve the clock and resource violations. Finally, we develop a novel timing-based co-optimization method to generate optimized placement without any clocking violations. Compared with the state-of-the-art placer based on the advanced commercial tool Xilinx Vivado 2019.1 with the Xilinx 7 Series FPGA architecture, our algorithm achieves the best worst slack and routed wirelength while satisfying all clock constraints.
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- 2021
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42. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
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Klionsky, Daniel, Abdel-Aziz, Amal Kamal, Abdelfatah, Sara, Abdellatif, Mahmoud, Abdoli, Asghar, Abel, Steffen, Abeliovich, Hagai, Abildgaard, Marie, Abudu, Yakubu Princely, Acevedo-Arozena, Abraham, Adamopoulos, Iannis, Adeli, Khosrow, Adolph, Timon, Adornetto, Annagrazia, Aflaki, Elma, Agam, Galila, Agarwal, Anupam, Aggarwal, Bharat, Agnello, Maria, Agostinis, Patrizia, Agrewala, Javed, Agrotis, Alexander, Aguilar, Patricia, Ahmad, S Tariq, Ahmed, Zubair, Ahumada-Castro, Ulises, Aits, Sonja, Aizawa, Shu, Akkoc, Yunus, Akoumianaki, Tonia, Akpinar, Hafize Aysin, Al-Abd, Ahmed, Al-Akra, Lina, Al-Gharaibeh, Abeer, Alaoui-Jamali, Moulay, Alberti, Simon, Alcocer-Gómez, Elísabet, Alessandri, Cristiano, Ali, Muhammad, Alim Al-Bari, M Abdul, Aliwaini, Saeb, Alizadeh, Javad, Almacellas, Eugènia, Almasan, Alexandru, Alonso, Alicia, Alonso, Guillermo, Altan-Bonnet, Nihal, Altieri, Dario, Álvarez, Élida, Alves, Sara, Alves Da Costa, Cristine, Alzaharna, Mazen, Amadio, Marialaura, Amantini, Consuelo, Amaral, Cristina, Ambrosio, Susanna, Amer, Amal, Ammanathan, Veena, An, Zhenyi, Andersen, Stig, Andrabi, Shaida, Andrade-Silva, Magaiver, Andres, Allen, Angelini, Sabrina, Ann, David, Anozie, Uche, Ansari, Mohammad, Antas, Pedro, Antebi, Adam, Antón, Zuriñe, Anwar, Tahira, Apetoh, Lionel, Apostolova, Nadezda, Araki, Toshiyuki, Araki, Yasuhiro, Arasaki, Kohei, Araújo, Wagner, Araya, Jun, Arden, Catherine, Arévalo, Maria-Angeles, Arguelles, Sandro, Arias, Esperanza, Arikkath, Jyothi, Arimoto, Hirokazu, Ariosa, Aileen, Armstrong-James, Darius, Arnauné-Pelloquin, Laetitia, Aroca, Angeles, Arroyo, Daniela, Arsov, Ivica, Artero, Rubén, Asaro, Dalia Maria Lucia, Aschner, Michael, Ashrafizadeh, Milad, Ashur-Fabian, Osnat, Atanasov, Atanas, Au, Alicia, Auberger, Patrick, Auner, Holger, Aurelian, Laure, Autelli, Riccardo, Avagliano, Laura, Ávalos, Yenniffer, Aveic, Sanja, Aveleira, Célia Alexandra, Avin-Wittenberg, Tamar, Aydin, Yucel, Ayton, Scott, Ayyadevara, Srinivas, Azzopardi, Maria, Baba, Misuzu, Backer, Jonathan, Backues, Steven, Bae, Dong-Hun, Bae, Ok-Nam, Bae, Soo Han, Baehrecke, Eric, Baek, Ahruem, Baek, Seung-Hoon, Baek, Sung Hee, Bagetta, Giacinto, Bagniewska-Zadworna, Agnieszka, Bai, Hua, Bai, Jie, Bai, Xiyuan, Bai, Yidong, Bairagi, Nandadulal, Baksi, Shounak, Balbi, Teresa, Baldari, Cosima, Balduini, Walter, Ballabio, Andrea, Ballester, Maria, Balazadeh, Salma, Balzan, Rena, Bandopadhyay, Rina, Banerjee, Sreeparna, Banerjee, Sulagna, Bánréti, Ágnes, Bao, Yan, Baptista, Mauricio, Baracca, Alessandra, Barbati, Cristiana, Bargiela, Ariadna, Barilà, Daniela, Barlow, Peter, Barmada, Sami, Barreiro, Esther, Barreto, George, Bartek, Jiri, Bartel, Bonnie, Bartolome, Alberto, Barve, Gaurav, Basagoudanavar, Suresh, Bassham, Diane, Bast, Robert, Basu, Alakananda, Batoko, Henri, Batten, Isabella, Baulieu, Etienne, Baumgarner, Bradley, Bayry, Jagadeesh, Beale, Rupert, Beau, Isabelle, Beaumatin, Florian, Bechara, Luiz, Beck, George, Beers, Michael, Begun, Jakob, Behrends, Christian, Behrens, Georg, Bei, Roberto, Bejarano, Eloy, Bel, Shai, Behl, Christian, Belaid, Amine, Belgareh-Touzé, Naïma, Bellarosa, Cristina, Belleudi, Francesca, Belló Pérez, Melissa, Bello-Morales, Raquel, Beltran, Jackeline Soares de Oliveira, Beltran, Sebastián, Benbrook, Doris Mangiaracina, Bendorius, Mykolas, Benitez, Bruno, Benito-Cuesta, Irene, Bensalem, Julien, Berchtold, Martin, Berezowska, Sabina, Bergamaschi, Daniele, Bergami, Matteo, Bergmann, Andreas, Berliocchi, Laura, Berlioz-Torrent, Clarisse, Bernard, Amélie, Berthoux, Lionel, Besirli, Cagri, Besteiro, Sebastien, Betin, Virginie, Beyaert, Rudi, Bezbradica, Jelena, Bhaskar, Kiran, Bhatia-Kissova, Ingrid, Bhattacharya, Resham, Bhattacharya, Sujoy, Bhattacharyya, Shalmoli, Bhuiyan, Md Shenuarin, Bhutia, Sujit Kumar, Bi, Lanrong, Bi, Xiaolin, Biden, Trevor, Bijian, Krikor, Billes, Viktor, Binart, Nadine, Bincoletto, Claudia, Birgisdottir, Asa, Bjorkoy, Geir, Blanco, Gonzalo, Blas-Garcia, Ana, Blasiak, Janusz, Blomgran, Robert, Blomgren, Klas, Blum, Janice, Boada-Romero, Emilio, Boban, Mirta, Boesze-Battaglia, Kathleen, Boeuf, Philippe, Boland, Barry, Bomont, Pascale, Bonaldo, Paolo, Bonam, Srinivasa Reddy, Bonfili, Laura, Bonifacino, Juan, Boone, Brian, Bootman, Martin, Bordi, Matteo, Borner, Christoph, Bornhauser, Beat, Borthakur, Gautam, Bosch, Jürgen, Bose, Santanu, botana, luis, Botas, Juan, Boulanger, Chantal, Boulton, Michael, Bourdenx, Mathieu, Bourgeois, Benjamin, Bourke, Nollaig, Bousquet, Guilhem, Boya, Patricia, Bozhkov, Peter, Bozi, Luiz, Bozkurt, Tolga, Brackney, Doug, Brandts, Christian, Braun, Ralf, Braus, Gerhard, Bravo-Sagua, Roberto, Bravo-San Pedro, José, Brest, Patrick, Bringer, Marie-Agnès, Briones-Herrera, Alfredo, Broaddus, V Courtney, Brodersen, Peter, Brodsky, Jeffrey, Brody, Steven, Bronson, Paola, Bronstein, Jeff, Brown, Carolyn, Brown, Rhoderick, Brum, Patricia, Brumell, John, Brunetti-Pierri, Nicola, Bruno, Daniele, Bryson-Richardson, Robert, Bucci, Cecilia, Buchrieser, Carmen, Bueno, Marta, Buitrago-Molina, Laura Elisa, Buraschi, Simone, Buch, Shilpa, Buchan, J Ross, Buckingham, Erin, Budak, Hikmet, Budini, Mauricio, Bultynck, Geert, Burada, Florin, Burgoyne, Joseph, Burón, M Isabel, Bustos, Victor, Büttner, Sabrina, Butturini, Elena, Byrd, Aaron, Cabas, Isabel, Cabrera-Benitez, Sandra, Cadwell, Ken, Cai, Jingjing, Cai, Lu, Cai, Qian, Cairó, Montserrat, Calbet, Jose, Caldwell, Guy, Caldwell, Kim, Call, Jarrod, Calvani, Riccardo, Calvo, Ana, Calvo-Rubio Barrera, Miguel, Camara, Niels OS, Camonis, Jacques, Camougrand, Nadine, Campanella, Michelangelo, Campbell, Edward, Campbell-Valois, François-Xavier, Campello, Silvia, Campesi, Ilaria, Campos, Juliane, Camuzard, Olivier, Cancino, Jorge, Candido de Almeida, Danilo, Canesi, Laura, Caniggia, Isabella, Canonico, Barbara, Cantí, Carles, Cao, Bin, Caraglia, Michele, Caramés, Beatriz, Carchman, Evie, Cardenal-Muñoz, Elena, Cardenas, Cesar, Cardenas, Luis, Cardoso, Sandra, Carew, Jennifer, Carle, Georges, Carleton, Gillian, Carloni, Silvia, Carmona-Gutierrez, Didac, Carneiro, Leticia, Carnevali, Oliana, Carosi, Julian, Carra, Serena, Carrier, Alice, Carrier, Lucie, Carroll, Bernadette, Carter, A Brent, Carvalho, Andreia Neves, Casanova, Magali, Casas, Caty, Casas, Josefina, Cassioli, Chiara, Castillo, Eliseo, Castillo, Karen, Castillo-Lluva, Sonia, Castoldi, Francesca, Castori, Marco, Castro, Ariel, Castro-Caldas, Margarida, Castro-Hernandez, Javier, Castro-Obregon, Susana, Catz, Sergio, Cavadas, Claudia, Cavaliere, Federica, Cavallini, Gabriella, Cavinato, Maria, Cayuela, Maria, Cebollada Rica, Paula, Cecarini, Valentina, Cecconi, Francesco, Cechowska-Pasko, Marzanna, Cenci, Simone, Ceperuelo-Mallafré, Victòria, Cerqueira, João, Cerutti, Janete, Cervia, Davide, Cetintas, Vildan Bozok, Cetrullo, Silvia, Chae, Han-Jung, Chagin, Andrei, Chai, Chee-Yin, Chakrabarti, Gopal, Chakrabarti, Oishee, Chakraborty, Tapas, Chakraborty, Trinad, Chami, mounia, Chamilos, Georgios, Chan, David, Chan, Edmond, Chan, Edward, Chan, H.Y. Edwin, Chan, Helen, Chan, Hung, Chan, Matthew, Chan, Yau Sang, Chandra, Partha, Chang, Chih-Peng, Chang, Chunmei, Chang, Hao-Chun, Chang, Kai, Chao, Jie, Chapman, Tracey, Charlet-Berguerand, Nicolas, Chatterjee, Samrat, Chaube, Shail, Chaudhary, Anu, Chauhan, Santosh, Chaum, Edward, Checler, Frédéric, Cheetham, Michael, Chen, Chang-Shi, Chen, Guang-Chao, Chen, Jian-Fu, Chen, Liam, Chen, Leilei, Chen, Lin, Chen, Mingliang, Chen, Mu-Kuan, Chen, Ning, Chen, Quan, Chen, Ruey-Hwa, Chen, Shi, Chen, Wei, Chen, Weiqiang, Chen, Xin-Ming, Chen, Xiong-Wen, Chen, Xu, Chen, Yan, Chen, Ye-Guang, Chen, Yingyu, Chen, Yongqiang, Chen, Yu-Jen, Chen, Yue-Qin, Chen, Zhefan Stephen, Chen, Zhi, Chen, Zhi-Hua, Chen, Zhijian, Chen, Zhixiang, Cheng, Hanhua, Cheng, Jun, Cheng, Shi-Yuan, Cheng, Wei, Cheng, Xiaodong, Cheng, Xiu-Tang, Cheng, Yiyun, Cheng, Zhiyong, Chen, Zhong, Cheong, Heesun, Cheong, Jit Kong, Chernyak, Boris, Cherry, Sara, Cheung, Chi Fai Randy, Cheung, Chun Hei Antonio, Cheung, King-Ho, Chevet, Eric, Chi, Richard, Chiang, Alan Kwok Shing, Chiaradonna, Ferdinando, Chiarelli, Roberto, Chiariello, Mario, Chica, Nathalia, Chiocca, Susanna, Chiong, Mario, Chiou, Shih-Hwa, Chiramel, Abhilash, Chiurchiù, Valerio, Cho, Dong-Hyung, Choe, Seong-Kyu, Choi, Augustine, Choi, Mary, Choudhury, Kamalika Roy, Chow, Norman, Chu, Charleen, Chua, Jason, Chua, John Jia En, Chung, Hyewon, Chung, Kin Pan, Chung, Seockhoon, Chung, So-Hyang, Chung, Yuen-Li, Cianfanelli, Valentina, Ciechomska, Iwona, Cifuentes, Mariana, Cinque, Laura, Cirak, Sebahattin, Cirone, Mara, Clague, Michael, Clarke, Robert, Clementi, Emilio, Coccia, Eliana, Codogno, Patrice, Cohen, Ehud, Cohen, Mickael, Colasanti, Tania, Colasuonno, Fiorella, Colbert, Robert, Colell, Anna, Čolić, Miodrag, Coll, Nuria, Collins, Mark, Colombo, María, Colón-Ramos, Daniel, Combaret, Lydie, Comincini, Sergio, Cominetti, Márcia, Consiglio, Antonella, Conte, Andrea, Conti, Fabrizio, Contu, Viorica Raluca, Cookson, Mark, Coombs, Kevin, Coppens, Isabelle, Corasaniti, Maria Tiziana, Corkery, Dale, Cordes, Nils, Cortese, Katia, Costa, Maria do Carmo, Costantino, Sarah, Costelli, Paola, Coto-Montes, Ana, Crack, Peter, Crespo, Jose, Criollo, Alfredo, Crippa, Valeria, Cristofani, Riccardo, Csizmadia, Tamas, Cuadrado, Antonio, Cui, Bing, Cui, Jun, Cui, Yixian, Cui, Yong, Culetto, Emmanuel, Cumino, Andrea, Cybulsky, Andrey, Czaja, Mark, Czuczwar, Stanislaw, D'Adamo, Stefania, D'Amelio, Marcello, D'Arcangelo, Daniela, D'Lugos, Andrew, D'Orazi, Gabriella, da Silva, James, Dafsari, Hormos Salimi, Dagda, Ruben, Dagdas, Yasin, Daglia, Maria, Dai, Xiaoxia, Dai, Yun, Dai, Yuyuan, Dal Col, Jessica, Dalhaimer, Paul, Dalla Valle, Luisa, Dallenga, Tobias, Dalmasso, Guillaume, Damme, Markus, Dando, Ilaria, Dantuma, Nico, Darling, April, Das, Hiranmoy, Dasarathy, Srinivasan, Dasari, Santosh, Dash, Srikanta, Daumke, Oliver, Dauphinee, Adrian, Davies, Jeffrey, Dávila, Valeria, Davis, Roger, Davis, Tanja, Dayalan Naidu, Sharadha, De Amicis, Francesca, De Bosscher, Karolien, De Felice, Francesca, De Franceschi, Lucia, De Leonibus, Chiara, de Mattos Barbosa, Mayara, De Meyer, Guido, De Milito, Angelo, De Nunzio, Cosimo, De Palma, Clara, De Santi, Mauro, De Virgilio, Claudio, De Zio, Daniela, Debnath, Jayanta, DeBosch, Brian, Decuypere, Jean-Paul, Deehan, Mark, Deflorian, Gianluca, DeGregori, James, Dehay, Benjamin, Del Rio, Gabriel, Delaney, Joe, Delbridge, Lea, Delorme-Axford, Elizabeth, Delpino, M Victoria, Demarchi, Francesca, Dembitz, Vilma, Demers, Nicholas, Deng, Hongbin, Deng, Zhiqiang, Dengjel, Joern, Dent, Paul, Denton, Donna, DePamphilis, Melvin, Der, Channing, Deretic, Vojo, Descoteaux, Albert, Devis, Laura, Devkota, Sushil, Devuyst, Olivier, Dewson, Grant, Dharmasivam, Mahendiran, Dhiman, Rohan, di Bernardo, Diego, Di Cristina, Manlio, Di Domenico, Fabio, Di Fazio, Pietro, Di Fonzo, Alessio, Di Guardo, Giovanni, Di Guglielmo, Gianni, Di Leo, Luca, Di Malta, Chiara, Di Nardo, Alessia, Di Rienzo, Martina, Di Sano, Federica, Diallinas, George, Diao, Jiajie, Diaz-Araya, Guillermo, Díaz-Laviada, Inés, Dickinson, Jared, Diederich, Marc, Dieudé, Mélanie, Dikic, Ivan, Ding, Shiping, Ding, Wen-Xing, Dini, Luciana, Dinić, Jelena, Dinic, Miroslav, Dinkova-Kostova, Albena, Dionne, Marc, Distler, Jörg, Diwan, Abhinav, Dixon, Ian, Djavaheri-Mergny, Mojgan, Dobrinski, Ina, Dobrovinskaya, Oxana, Dobrowolski, Radek, Dobson, Renwick, Đokić, Jelena, Dokmeci Emre, Serap, Donadelli, Massimo, Dong, Bo, Dong, Xiaonan, Dong, Zhiwu, Dorn Ii, Gerald, Dotsch, Volker, Dou, Huan, Dou, Juan, Dowaidar, Moataz, Dridi, Sami, Drucker, Liat, Du, Ailian, Du, Caigan, Du, Guangwei, Du, Hai-Ning, Du, Li-Lin, du Toit, André, Duan, Shao-Bin, Duan, Xiaoqiong, Duarte, Sónia, Dubrovska, Anna, Dunlop, Elaine, Dupont, Nicolas, Durán, Raúl, Dwarakanath, Bilikere, Dyshlovoy, Sergey, Ebrahimi-Fakhari, Darius, Eckhart, Leopold, Edelstein, Charles, Efferth, Thomas, Eftekharpour, Eftekhar, Eichinger, Ludwig, Eid, Nabil, Eisenberg, Tobias, Eissa, N Tony, Eissa, Sanaa, Ejarque, Miriam, El Andaloussi, Abdeljabar, El-Hage, Nazira, El-Naggar, Shahenda, Eleuteri, Anna Maria, El-Shafey, Eman, Elgendy, Mohamed, Eliopoulos, Aristides, Elizalde, María, Elks, Philip, Elsasser, Hans-Peter, Elsherbiny, Eslam, Emerling, Brooke, Emre, N., Eng, Christina, Engedal, Nikolai, Engelbrecht, Anna-Mart, Engelsen, Agnete, Enserink, Jorrit, Escalante, Ricardo, Esclatine, Audrey, Escobar-Henriques, Mafalda, Eskelinen, Eeva-Liisa, Espert, Lucile, Eusebio, Makandjou-Ola, Fabrias, Gemma, Fabrizi, Cinzia, Facchiano, Antonio, Facchiano, Francesco, Fadeel, Bengt, Fader, Claudio, Faesen, Alex, Fairlie, W Douglas, Falcó, Alberto, Falkenburger, Bjorn, Fan, Daping, Fan, Jie, Fan, Yanbo, Fang, Evandro, Fang, Yanshan, Fang, Yognqi, Fanto, Manolis, Farfel-Becker, Tamar, Faure, Mathias, Fazeli, Gholamreza, Fedele, Anthony, Feldman, Arthur, Feng, Du, Feng, Jiachun, Feng, Lifeng, Feng, Yibin, Feng, Yuchen, Feng, Wei, Fenz Araujo, Thais, Ferguson, Thomas, Fernández, Álvaro, Fernandez-Checa, Jose, Fernández-Veledo, Sonia, Fernie, Alisdair, Ferrante, Anthony, Ferraresi, Alessandra, Ferrari, Merari, Ferreira, Julio, Ferro-Novick, Susan, Figueras, Antonio, Filadi, Riccardo, Filigheddu, Nicoletta, Filippi-Chiela, Eduardo, Filomeni, Giuseppe, Fimia, Gian Maria, Fineschi, Vittorio, Finetti, Francesca, Finkbeiner, Steven, Fisher, Edward, Fisher, Paul, Flamigni, Flavio, Fliesler, Steven, Flo, Trude, Florance, Ida, Florey, Oliver, Florio, Tullio, Fodor, Erika, Follo, Carlo, Fon, Edward, Forlino, Antonella, Fornai, Francesco, Fortini, Paola, Fracassi, Anna, Fraldi, Alessandro, Franco, Brunella, Franco, Rodrigo, Franconi, Flavia, Frankel, Lisa, Friedman, Scott, Fröhlich, Leopold, Frühbeck, Gema, Fuentes, Jose, Fujiki, Yukio, Fujita, Naonobu, Fujiwara, Yuuki, Fukuda, Mitsunori, Fulda, Simone, Furic, Luc, Furuya, Norihiko, Fusco, Carmela, Gack, Michaela, Gaffke, Lidia, Galadari, Sehamuddin, Galasso, Alessia, Galindo, Maria, Gallolu Kankanamalage, 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Sylvie, Giustiniani, Julien, Gluschko, Alexander, Goder, Veit, Goginashvili, Alexander, Golab, Jakub, Goldstone, David, Golebiewska, Anna, Gomes, Luciana, Gomez, Rodrigo, Gómez-Sánchez, Rubén, Gomez-Puerto, Maria Catalina, Gomez-Sintes, Raquel, Gong, Qingqiu, Goni, Felix, González-Gallego, Javier, Gonzalez-Hernandez, Tomas, Gonzalez-Polo, Rosa, Gonzalez-Reyes, Jose, González-Rodríguez, Patricia, Goping, Ing Swie, Gorbatyuk, Marina, Gorbunov, Nikolai, Görgülü, Kıvanç, Gorojod, Roxana, Gorski, Sharon, Goruppi, Sandro, Gotor, Cecilia, Gottlieb, Roberta, Gozes, Illana, Gozuacik, Devrim, Graef, Martin, Gräler, Markus, Granatiero, Veronica, Grasso, Daniel, Gray, Joshua, Green, Douglas, Greenhough, Alexander, Gregory, Stephen, Griffin, Edward, Grinstaff, Mark, Gros, Frederic, Grose, Charles, Gross, Angelina, Gruber, Florian, Grumati, Paolo, Grune, Tilman, Gu, Xueyan, Guan, Jun-Lin, Guardia, Carlos, Guda, Kishore, Guerra, Flora, Guerri, Consuelo, Guha, Prasun, Guillén, Carlos, Gujar, Shashi, 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Anna, Hernández, Agustín, Hernandez, Carlos, Hernandez-Diaz, Sergio, Hernandez-Gea, Virginia, Herpin, Amaury, Herreros, Judit, Hervás, Javier, Hesselson, Daniel, Hetz, Claudio, Heussler, Volker, Higuchi, Yujiro, Hilfiker, Sabine, Hill, Joseph, Hlavacek, William, Ho, Emmanuel, Ho, Idy, Ho, Philip Wing-Lok, Ho, Shu-Leong, Ho, Wan Yun, Hobbs, G Aaron, Hochstrasser, Mark, Hoet, Peter, Hofius, Daniel, Hofman, Paul, Höhn, Annika, Holmberg, Carina, Hombrebueno, Jose, Yi-Ren Hong, Chang-Won Hong, Hooper, Lora, Hoppe, Thorsten, Horos, Rastislav, Hoshida, Yujin, Hsin, I-Lun, Hsu, Hsin-Yun, Hu, Bing, Hu, Dong, Hu, Li-Fang, Hu, Ming Chang, Hu, Ronggui, Hu, Wei, Hu, Yu-Chen, Hu, Zhuo-Wei, Hua, Fang, Hua, Jinlian, Hua, Yingqi, Huan, Chongmin, Huang, Canhua, Huang, Chuanshu, Huang, Chuanxin, Huang, Chunling, Huang, Haishan, Huang, Kun, Huang, Michael, Huang, Rui, Huang, Shan, Huang, Tianzhi, Huang, Xing, Huang, Yuxiang Jack, Huber, Tobias, Hubert, Virginie, Hubner, Christian, Hughes, Stephanie, 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Zarrouk, Amira, Zeitlin, Scott, Zeng, Jialiu, Zeng, Ju-deng, Žerovnik, Eva, Zhan, Lixuan, Zhang, Bin, Zhang, Donna, Zhang, Hanlin, Zhang, Hong, Zhang, Honghe, Zhang, Huafeng, Zhang, Huaye, Zhang, Hui, Zhang, Hui-Ling, Zhang, Jianbin, Zhang, Jianhua, Zhang, Jing-Pu, Zhang, Kalin, Zhang, Leshuai, Zhang, Lin, Zhang, Lisheng, Zhang, Lu, Zhang, Luoying, Zhang, Menghuan, Zhang, Peng, Zhang, Sheng, Zhang, Wei, Zhang, Xiangnan, Zhang, Xiao-Wei, Zhang, Xiaolei, Zhang, Xiaoyan, Zhang, Xin, Zhang, Xinxin, Zhang, Xu Dong, Zhang, Yang, Zhang, Yanjin, Zhang, Yi, Zhang, Ying-Dong, Zhang, Yingmei, Zhang, Yuan-Yuan, Zhang, Yuchen, Zhang, Zhe, Zhang, Zhengguang, Zhang, Zhibing, Zhang, Zhihai, Zhang, Zhiyong, Zhang, Zili, Zhao, Haobin, Zhao, Lei, Zhao, Shuang, Zhao, Tongbiao, Zhao, Xiao-Fan, Zhao, Ying, Zhao, Yongchao, Zhao, Yongliang, Zhao, Yuting, Zheng, Guoping, Zheng, Kai, Zheng, Ling, Zheng, Shizhong, Zheng, Xi-Long, Zheng, Yi, Zheng, Zu-Guo, Zhivotovsky, Boris, Zhong, Qing, Zhou, Ao, Zhou, Ben, Zhou, Cefan, ZHOU, Gang, Zhou, Hao, Zhou, Hong, Zhou, Hongbo, Zhou, Jie, Zhou, Jing, Zhou, Jiyong, Zhou, Kailiang, Zhou, Rongjia, Zhou, Xu-jie, Zhou, Yanshuang, Zhou, Yinghong, Zhou, Yubin, Zhou, Zheng-Yu, Zhou, Zhou, Zhu, Binglin, Zhu, Changlian, Zhu, Guo-Qing, Zhu, Haining, Zhu, Hongxin, Zhu, Hua, Zhu, Wei-Guo, Zhu, Yanping, Zhu, Yushan, Zhuang, Haixia, Zhuang, Xiaohong, Zientara-Rytter, Katarzyna, Zimmermann, Christine, Ziviani, Elena, Zoladek, Teresa, Zong, Wei-Xing, Zorov, Dmitry, Zorzano, Antonio, Zou, Weiping, Zou, Zhen, Zou, Zhengzhi, Zuryn, Steven, Zwerschke, Werner, Brand-Saberi, Beate, Dong, X Charlie, Kenchappa, Chandra Shekar, Li, Zuguo, Lin, Yong, Oshima, Shigeru, Rong, Yueguang, Sluimer, Judith, Stallings, Christina, Tong, Chun-Kit, Ahmad, S. Tariq, Alim Al-Bari, M. Abdul, Bechara, Luiz R.G., Behrens, Georg M.N., Bhuiyan, Md. Shenuarin, Broaddus, V. Courtney, Buchan, J. Ross, Burón, M. Isabel, Carter, A. Brent, Chan, Matthew T.V., Choi, Augustine M.K., D’Adamo, Stefania, D’Amelio, Marcello, D’Arcangelo, Daniela, D’Lugos, Andrew, D’Orazi, Gabriella, De Meyer, Guido R.Y., Delpino, M. Victoria, Distler, Jörg H.W., Dixon, Ian M.C., Dobson, Renwick C.J., 2nd Dorn, Gerald, Eissa, N. Tony, Engelsen, Agnete S.T., Fairlie, W. Douglas, Ferreira, Julio C.B., H.B., Ranjitha, Hanson, Phyllis I., Hejtmancik, J. Fielding, Ho, Idy H.T., Hobbs, G. Aaron, Hoet, Peter H.M., Huang, Michael L.H., Iyer, Anand Krishnan V., Johnson, Gail V.W., Joosten, Leo A.B., Karim, Md. Razaul, Kaufmann, Stefan H.E., Ko, Ben C.B., Leck, Lionel Y.W., Lima, Thania R.R., Livingston, J. Andrew, Martin, Alexandre P.J., Montes, L. Ruth, Murphy, J. Patrick, Ng, Charlene C.W., Nicolao, M. Celeste, O’Donovan, Tracey, O’Leary, Seónadh, O’Rourke, Eyleen, O’Sullivan, Mary, O’Sullivan, Timothy, Omary, M. Bishr, Pereira, Gustavo J.S., Ratnayaka, J. Arjuna, Riazuddin, S. Amer, Rouschop, Kasper M.A., Sanderson, J. Thomas, Scaglione, K. Matthew, Schapira, Anthony H.V., Scovassi, A. Ivana, St. Clair, Daret, Sunahara, Karen K.S., Symons, J. David, Triola, Gemma, van Wijk, Sjoerd J.L., Vanrell, M. Cristina, Vasconcelos, M. Helena, Whitton, J. Lindsay, Williams, Robin S.B., Wong, W. Wei-Lynn, Wu, William K.K., Yakhine-Diop, Sokhna M.S., Yu, W. Haung, Zhang, Kalin Y.B., Dong, X. Charlie, Ain Shams University [ASU], Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University [JGU], Medical University Graz, Centre de Recherche des Cordeliers [CRC (UMR_S_1138 / U1138)], Institut Pasteur d'Iran, Leibniz Institute of Plant Biochemistry [IPB], The University of Texas M.D. Anderson Cancer Center [Houston], Institut de pharmacologie moléculaire et cellulaire [IPMC], Lipides - Nutrition - Cancer [Dijon - U1231] [LNC], Centre méditerranéen de médecine moléculaire [C3M], Institut de Biologie Valrose [IBV], Petites Molécules de neuroprotection, neurorégénération et remyélinisation, Signalisation Hormonale, Physiopathologie Endocrinienne et Métabolique, Institut Cochin [IC UM3 (UMR 8104 / U1016)], Institut NeuroMyoGène [INMG], Paris-Centre de Recherche Cardiovasculaire [PARCC (UMR_S 970/ U970)], Marqueurs cardiovasculaires en situation de stress [MASCOT (UMR_S_942 / U942)], Institut de Recherche sur le Cancer et le Vieillissement [IRCAN], Centre de Recherche en Cancérologie de Marseille [CRCM], Centre for Integrative Biology - CBI [Inserm U964 - CNRS UMR7104 - IGBMC], Oncogenesis, Stress, Signaling [OSS], Institut Necker Enfants-Malades [INEM - UM 111 (UMR 8253 / U1151)], Institut de Biologie Intégrative de la Cellule [I2BC], Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte [M2iSH], Centre de Recherches en Cancérologie de Toulouse [CRCT], Physiopathologie et traitement des maladies du foie, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL], Institut de Génétique et de Biologie Moléculaire et Cellulaire [IGBMC], Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] [BIO-PEROXIL], Centre de recherche sur l'Inflammation [CRI (UMR_S_1149 / ERL_8252 / U1149)], Unité de génétique et biologie des cancers [U830], Laboratoire d'Optique et Biosciences [LOB], Institut des Maladies Métaboliques et Casdiovasculaires [UPS/Inserm U1297 - I2MC], Différenciation et communication neuronale et neuroendocrine [DC2N], Institut de Recherche en Cancérologie de Montpellier [IRCM - U1194 Inserm - UM], Centre d'Immunologie de Marseille - Luminy [CIML], Physiopathologie et imagerie des troubles neurologiques [PhIND], Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée [LBFA], Imagine - Institut des maladies génétiques (IHU) [Imagine - U1163], Institut Mondor de Recherche Biomédicale [IMRB], Franco-czech Laboratory for clinical research on obesity, University of Michigan [Ann Arbor], University of Michigan System, Institut de pharmacologie moléculaire et cellulaire (IPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Biologie Valrose (IBV), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Sud - Paris 11 (UP11), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Nutrition, Métabolisme, Aquaculture (NuMéA), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut NeuroMyoGène (INMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de Recherche en Cancérologie de Marseille (CRCM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Centre for Integrative Biology - CBI (Inserm U964 - CNRS UMR7104 - IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institute of genetics and molecular and cellular biology-Centre National de la Recherche Scientifique (CNRS), Chemistry, Oncogenesis, Stress and Signaling (COSS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CRLCC Eugène Marquis (CRLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte (M2iSH), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre de Recherche en Nutrition Humaine d'Auvergne (CRNH d'Auvergne)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] (BIO-PEROXIL), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherche sur l'Inflammation (CRI (UMR_S_1149 / ERL_8252 / U1149)), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Optique et Biosciences (LOB), École polytechnique (X)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Différenciation et communication neuronale et neuroendocrine (DC2N), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Recherche en Cancérologie de Montpellier (IRCM - U1194 Inserm - UM), CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie et imagerie des troubles neurologiques (PhIND), Université de Caen Normandie (UNICAEN), Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée (LBFA), Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epithelial biology and disease - Liliane Bettencourt Chair of Developmental Biology (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Biomécanique cellulaire et respiratoire (BCR), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Charles University [Prague]-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was supported by the National Institute of General Medical Sciences [GM131919]., Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Marqueurs cardiovasculaires en situation de stress (MASCOT (UMR_S_942 / U942)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes (UN)-Institut National de la Recherche Agronomique (INRA), Département Plateforme (PF I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Gustave Roussy (IGR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Chinese Academy of Medical Sciences [Suzhou, Chine] (CAMS), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Department of Women's and Children's Health [Stockholm, Sweden], Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École polytechnique (X), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, FHU OncoAge - Pathologies liées à l’âge [CHU Nice] (OncoAge), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Institut de Pharmacologie Moléculaire et Cellulaire [UNIV Côte d'Azur] (UPMC), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Life Sciences Institute [Ann Arbor, MI, USA], University of Michigan System-University of Michigan System, European Institute of Oncology IRCCS [Milan, Italy] (EIO), Ain Shams University (ASU), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Réseau International des Instituts Pasteur (RIIP), Leibniz Institute of Plant Biochemistry (IPB), Hebrew University of Jerusalem, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Oncogenesis, Stress, Signaling (OSS), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Charles University [Prague] (CU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., Adamopoulos, I. E., Adeli, K., Adolph, T. E., Adornetto, A., Aflaki, E., Agam, G., Agarwal, A., Aggarwal, B. B., Agnello, M., Agostinis, P., Agrewala, J. N., Agrotis, A., Aguilar, P. V., Ahmad, S. T., Ahmed, Z. M., Ahumada-Castro, U., Aits, S., Aizawa, S., Akkoc, Y., Akoumianaki, T., Akpinar, H. A., Al-Abd, A. M., Al-Akra, L., Al-Gharaibeh, A., Alaoui-Jamali, M. A., Alberti, S., Alcocer-Gomez, E., Alessandri, C., Ali, M., Alim Al-Bari, M. A., Aliwaini, S., Alizadeh, J., Almacellas, E., Almasan, A., Alonso, A., Alonso, G. D., Altan-Bonnet, N., Altieri, D. C., Alvarez, E. M. C., Alves, S., Alves da Costa, C., Alzaharna, M. M., Amadio, M., Amantini, C., Amaral, C., Ambrosio, S., Amer, A. O., Ammanathan, V., An, Z., Andersen, S. U., Andrabi, S. A., Andrade-Silva, M., Andres, A. M., Angelini, S., Ann, D., Anozie, U. C., Ansari, M. Y., Antas, P., Antebi, A., Anton, Z., Anwar, T., Apetoh, L., Apostolova, N., Araki, T., Araki, Y., Arasaki, K., Araujo, W. L., Araya, J., Arden, C., Arevalo, M. -A., Arguelles, S., Arias, E., Arikkath, J., Arimoto, H., Ariosa, A. R., Armstrong-James, D., Arnaune-Pelloquin, L., Aroca, A., Arroyo, D. S., Arsov, I., Artero, R., Asaro, D. M. L., Aschner, M., Ashrafizadeh, M., Ashur-Fabian, O., Atanasov, A. G., Au, A. K., Auberger, P., Auner, H. W., Aurelian, L., Autelli, R., Avagliano, L., Avalos, Y., Aveic, S., Aveleira, C. A., Avin-Wittenberg, T., Aydin, Y., Ayton, S., Ayyadevara, S., Azzopardi, M., Baba, M., Backer, J. M., Backues, S. K., Bae, D. -H., Bae, O. -N., Bae, S. H., Baehrecke, E. H., Baek, A., Baek, S. -H., Baek, S. H., Bagetta, G., Bagniewska-Zadworna, A., Bai, H., Bai, J., Bai, X., Bai, Y., Bairagi, N., Baksi, S., Balbi, T., Baldari, C. T., Balduini, W., Ballabio, A., Ballester, M., Balazadeh, S., Balzan, R., Bandopadhyay, R., Banerjee, S., Banreti, A., Bao, Y., Baptista, M. S., Baracca, A., Barbati, C., Bargiela, A., Barila, D., Barlow, P. G., Barmada, S. J., Barreiro, E., Barreto, G. E., Bartek, J., Bartel, B., Bartolome, A., Barve, G. R., Basagoudanavar, S. H., Bassham, D. C., Bast, R. C., Basu, A., Batoko, H., Batten, I., Baulieu, E. E., Baumgarner, B. L., Bayry, J., Beale, R., Beau, I., Beaumatin, F., Bechara, L. R. G., Beck, G. R., Beers, M. F., Begun, J., Behrends, C., Behrens, G. M. N., Bei, R., Bejarano, E., Bel, S., Behl, C., Belaid, A., Belgareh-Touze, N., Bellarosa, C., Belleudi, F., Bello Perez, M., Bello-Morales, R., Beltran, J. S. D. O., Beltran, S., Benbrook, D. M., Bendorius, M., Benitez, B. A., Benito-Cuesta, I., Bensalem, J., Berchtold, M. W., Berezowska, S., Bergamaschi, D., Bergami, M., Bergmann, A., Berliocchi, L., Berlioz-Torrent, C., Bernard, A., Berthoux, L., Besirli, C. G., Besteiro, S., Betin, V. M., Beyaert, R., Bezbradica, J. S., Bhaskar, K., Bhatia-Kissova, I., Bhattacharya, R., Bhattacharya, S., Bhattacharyya, S., Bhuiyan, M. S., Bhutia, S. K., Bi, L., Bi, X., Biden, T. J., Bijian, K., Billes, V. A., Binart, N., Bincoletto, C., Birgisdottir, A. B., Bjorkoy, G., Blanco, G., Blas-Garcia, A., Blasiak, J., Blomgran, R., Blomgren, K., Blum, J. S., Boada-Romero, E., Boban, M., Boesze-Battaglia, K., Boeuf, P., Boland, B., Bomont, P., Bonaldo, P., Bonam, S. R., Bonfili, L., Bonifacino, J. S., Boone, B. A., Bootman, M. D., Bordi, M., Borner, C., Bornhauser, B. C., Borthakur, G., Bosch, J., Bose, S., Botana, L. M., Botas, J., Boulanger, C. M., Boulton, M. E., Bourdenx, M., Bourgeois, B., Bourke, N. M., Bousquet, G., Boya, P., Bozhkov, P. V., Bozi, L. H. M., Bozkurt, T. O., Brackney, D. E., Brandts, C. H., Braun, R. J., Braus, G. H., Bravo-Sagua, R., Bravo-San Pedro, J. M., Brest, P., Bringer, M. -A., Briones-Herrera, A., Broaddus, V. C., Brodersen, P., Brodsky, J. L., Brody, S. L., Bronson, P. G., Bronstein, J. M., Brown, C. N., Brown, R. E., Brum, P. C., Brumell, J. H., Brunetti-Pierri, N., Bruno, D., Bryson-Richardson, R. J., Bucci, C., Buchrieser, C., Bueno, M., Buitrago-Molina, L. E., Buraschi, S., Buch, S., Buchan, J. R., Buckingham, E. M., Budak, H., Budini, M., Bultynck, G., Burada, F., Burgoyne, J. R., Buron, M. I., Bustos, V., Buttner, S., Butturini, E., Byrd, A., Cabas, I., Cabrera-Benitez, S., Cadwell, K., Cai, J., Cai, L., Cai, Q., Cairo, M., Calbet, J. A., Caldwell, G. A., Caldwell, K. A., Call, J. A., Calvani, R., Calvo, A. C., Calvo-Rubio Barrera, M., Camara, N. O. S., Camonis, J. H., Camougrand, N., Campanella, M., Campbell, E. M., Campbell-Valois, F. -X., Campello, S., Campesi, I., Campos, J. C., Camuzard, O., Cancino, J., Candido de Almeida, D., Canesi, L., Caniggia, I., Canonico, B., Canti, C., Cao, B., Caraglia, M., Carames, B., Carchman, E. 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K., Chang, C. -P., Chang, C., Chang, H. -C., Chang, K., Chao, J., Chapman, T., Charlet-Berguerand, N., Chatterjee, S., Chaube, S. K., Chaudhary, A., Chauhan, S., Chaum, E., Checler, F., Cheetham, M. E., Chen, C. -S., Chen, G. -C., Chen, J. -F., Chen, L. L., Chen, L., Chen, M., Chen, M. -K., Chen, N., Chen, Q., Chen, R. -H., Chen, S., Chen, W., Chen, X. -M., Chen, X. -W., Chen, X., Chen, Y., Chen, Y. -G., Chen, Y. -J., Chen, Y. -Q., Chen, Z. S., Chen, Z., Chen, Z. -H., Chen, Z. J., Cheng, H., Cheng, J., Cheng, S. -Y., Cheng, W., Cheng, X., Cheng, X. -T., Cheng, Y., Cheng, Z., Cheong, H., Cheong, J. K., Chernyak, B. V., Cherry, S., Cheung, C. F. R., Cheung, C. H. A., Cheung, K. -H., Chevet, E., Chi, R. J., Chiang, A. K. S., Chiaradonna, F., Chiarelli, R., Chiariello, M., Chica, N., Chiocca, S., Chiong, M., Chiou, S. -H., Chiramel, A. I., Chiurchiu, V., Cho, D. -H., Choe, S. -K., Choi, A. M. K., Choi, M. E., Choudhury, K. R., Chow, N. S., Chu, C. T., Chua, J. P., Chua, J. J. E., Chung, H., Chung, K. P., Chung, S., Chung, S. -H., Chung, Y. -L., Cianfanelli, V., Ciechomska, I. A., Cifuentes, M., Cinque, L., Cirak, S., Cirone, M., Clague, M. J., Clarke, R., Clementi, E., Coccia, E. M., Codogno, P., Cohen, E., Cohen, M. M., Colasanti, T., Colasuonno, F., Colbert, R. A., Colell, A., Colic, M., Coll, N. S., Collins, M. O., Colombo, M. I., Colon-Ramos, D. A., Combaret, L., Comincini, S., Cominetti, M. R., Consiglio, A., Conte, A., Conti, F., Contu, V. R., Cookson, M. R., Coombs, K. M., Coppens, I., Corasaniti, M. T., Corkery, D. P., Cordes, N., Cortese, K., Costa, M. D. C., Costantino, S., Costelli, P., Coto-Montes, A., Crack, P. J., Crespo, J. L., Criollo, A., Crippa, V., Cristofani, R., Csizmadia, T., Cuadrado, A., Cui, B., Cui, J., Cui, Y., Culetto, E., Cumino, A. C., Cybulsky, A. V., Czaja, M. J., Czuczwar, S. J., D'Adamo, S., D'Amelio, M., D'Arcangelo, D., D'Lugos, A. C., D'Orazi, G., da Silva, J. A., Dafsari, H. S., Dagda, R. K., Dagdas, Y., Daglia, M., Dai, X., Dai, Y., Dal Col, J., Dalhaimer, P., Dalla Valle, L., Dallenga, T., Dalmasso, G., Damme, M., Dando, I., Dantuma, N. P., Darling, A. L., Das, H., Dasarathy, S., Dasari, S. K., Dash, S., Daumke, O., Dauphinee, A. N., Davies, J. S., Davila, V. A., Davis, R. J., Davis, T., Dayalan Naidu, S., De Amicis, F., De Bosscher, K., De Felice, F., De Franceschi, L., De Leonibus, C., de Mattos Barbosa, M. G., De Meyer, G. R. Y., De Milito, A., De Nunzio, C., De Palma, C., De Santi, M., De Virgilio, C., De Zio, D., Debnath, J., Debosch, B. J., Decuypere, J. -P., Deehan, M. A., Deflorian, G., Degregori, J., Dehay, B., Del Rio, G., Delaney, J. R., Delbridge, L. M. D., Delorme-Axford, E., Delpino, M. V., Demarchi, F., Dembitz, V., Demers, N. D., Deng, H., Deng, Z., Dengjel, J., Dent, P., Denton, D., Depamphilis, M. L., Der, C. J., Deretic, V., Descoteaux, A., Devis, L., Devkota, S., Devuyst, O., Dewson, G., Dharmasivam, M., Dhiman, R., di Bernardo, D., Di Cristina, M., Di Domenico, F., Di Fazio, P., Di Fonzo, A., Di Guardo, G., Di Guglielmo, G. M., Di Leo, L., Di Malta, C., Di Nardo, A., Di Rienzo, M., Di Sano, F., Diallinas, G., Diao, J., Diaz-Araya, G., Diaz-Laviada, I., Dickinson, J. M., Diederich, M., Dieude, M., Dikic, I., Ding, S., Ding, W. -X., Dini, L., Dinic, J., Dinic, M., Dinkova-Kostova, A. T., Dionne, M. S., Distler, J. H. W., Diwan, A., Dixon, I. M. C., Djavaheri-Mergny, M., Dobrinski, I., Dobrovinskaya, O., Dobrowolski, R., Dobson, R. C. J., Dokic, J., Dokmeci Emre, S., Donadelli, M., Dong, B., Dong, X., Dong, Z., Dorn II, G. W., Dotsch, V., Dou, H., Dou, J., Dowaidar, M., Dridi, S., Drucker, L., Du, A., Du, C., Du, G., Du, H. -N., Du, L. -L., du Toit, A., Duan, S. -B., Duan, X., Duarte, S. P., Dubrovska, A., Dunlop, E. A., Dupont, N., Duran, R. V., Dwarakanath, B. S., Dyshlovoy, S. A., Ebrahimi-Fakhari, D., Eckhart, L., Edelstein, C. L., Efferth, T., Eftekharpour, E., Eichinger, L., Eid, N., Eisenberg, T., Eissa, N. T., Eissa, S., Ejarque, M., El Andaloussi, A., El-Hage, N., El-Naggar, S., Eleuteri, A. M., El-Shafey, E. S., Elgendy, M., Eliopoulos, A. G., Elizalde, M. M., Elks, P. M., Elsasser, H. -P., Elsherbiny, E. S., Emerling, B. M., Emre, N. C. T., Eng, C. H., Engedal, N., Engelbrecht, A. -M., Engelsen, A. S. T., Enserink, J. M., Escalante, R., Esclatine, A., Escobar-Henriques, M., Eskelinen, E. -L., Espert, L., Eusebio, M. -O., Fabrias, G., Fabrizi, C., Facchiano, A., Facchiano, F., Fadeel, B., Fader, C., Faesen, A. C., Fairlie, W. D., Falco, A., Falkenburger, B. H., Fan, D., Fan, J., Fan, Y., Fang, E. F., Fang, Y., Fanto, M., Farfel-Becker, T., Faure, M., Fazeli, G., Fedele, A. O., Feldman, A. M., Feng, D., Feng, J., Feng, L., Feng, Y., Feng, W., Fenz Araujo, T., Ferguson, T. A., Fernandez, A. F., Fernandez-Checa, J. C., Fernandez-Veledo, S., Fernie, A. R., Ferrante, A. W., Ferraresi, A., Ferrari, M. F., Ferreira, J. C. B., Ferro-Novick, S., Figueras, A., Filadi, R., Filigheddu, N., Filippi-Chiela, E., Filomeni, G., Fimia, G. M., Fineschi, V., Finetti, F., Finkbeiner, S., Fisher, E. A., Fisher, P. B., Flamigni, F., Fliesler, S. J., Flo, T. H., Florance, I., Florey, O., Florio, T., Fodor, E., Follo, C., Fon, E. A., Forlino, A., Fornai, F., Fortini, P., Fracassi, A., Fraldi, A., Franco, B., Franco, R., Franconi, F., Frankel, L. B., Friedman, S. L., Frohlich, L. F., Fruhbeck, G., Fuentes, J. M., Fujiki, Y., Fujita, N., Fujiwara, Y., Fukuda, M., Fulda, S., Furic, L., Furuya, N., Fusco, C., Gack, M. U., Gaffke, L., Galadari, S., Galasso, A., Galindo, M. F., Gallolu Kankanamalage, S., Galluzzi, L., Galy, V., Gammoh, N., Gan, B., Ganley, I. G., Gao, F., Gao, H., Gao, M., Gao, P., Gao, S. -J., Gao, W., Gao, X., Garcera, A., Garcia, M. N., Garcia, V. E., Garcia-Del Portillo, F., Garcia-Escudero, V., Garcia-Garcia, A., Garcia-Macia, M., Garcia-Moreno, D., Garcia-Ruiz, C., Garcia-Sanz, P., Garg, A. D., Gargini, R., Garofalo, T., Garry, R. F., Gassen, N. C., Gatica, D., Ge, L., Ge, W., Geiss-Friedlander, R., Gelfi, C., Genschik, P., Gentle, I. E., Gerbino, V., Gerhardt, C., Germain, K., Germain, M., Gewirtz, D. A., Ghasemipour Afshar, E., Ghavami, S., Ghigo, A., Ghosh, M., Giamas, G., Giampietri, C., Giatromanolaki, A., Gibson, G. E., Gibson, S. B., Ginet, V., Giniger, E., Giorgi, C., Girao, H., Girardin, S. E., Giridharan, M., Giuliano, S., Giulivi, C., Giuriato, S., Giustiniani, J., Gluschko, A., Goder, V., Goginashvili, A., Golab, J., Goldstone, D. C., Golebiewska, A., Gomes, L. R., Gomez, R., Gomez-Sanchez, R., Gomez-Puerto, M. C., Gomez-Sintes, R., Gong, Q., Goni, F. M., Gonzalez-Gallego, J., Gonzalez-Hernandez, T., Gonzalez-Polo, R. A., Gonzalez-Reyes, J. A., Gonzalez-Rodriguez, P., Goping, I. S., Gorbatyuk, M. S., Gorbunov, N. V., Gorgulu, K., Gorojod, R. M., Gorski, S. M., Goruppi, S., Gotor, C., Gottlieb, R. A., Gozes, I., Gozuacik, D., Graef, M., Graler, M. H., Granatiero, V., Grasso, D., Gray, J. P., Green, D. R., Greenhough, A., Gregory, S. L., Griffin, E. F., Grinstaff, M. W., Gros, F., Grose, C., Gross, A. S., Gruber, F., Grumati, P., Grune, T., Gu, X., Guan, J. -L., Guardia, C. M., Guda, K., Guerra, F., Guerri, C., Guha, P., Guillen, C., Gujar, S., Gukovskaya, A., Gukovsky, I., Gunst, J., Gunther, A., Guntur, A. R., Guo, C., Guo, H., Guo, L. -W., Guo, M., Gupta, P., Gupta, S. K., Gupta, S., Gupta, V. B., Gupta, V., Gustafsson, A. B., Gutterman, D. D., H. B, R., Haapasalo, A., Haber, J. E., Hac, A., Hadano, S., Hafren, A. J., Haidar, M., Hall, B. S., Hallden, G., Hamacher-Brady, A., Hamann, A., Hamasaki, M., Han, W., Hansen, M., Hanson, P. I., Hao, Z., Harada, M., Harhaji-Trajkovic, L., Hariharan, N., Haroon, N., Harris, J., Hasegawa, T., Hasima Nagoor, N., Haspel, J. A., Haucke, V., Hawkins, W. D., Hay, B. A., Haynes, C. M., Hayrabedyan, S. B., Hays, T. S., He, C., He, Q., He, R. -R., He, Y. -W., He, Y. -Y., Heakal, Y., Heberle, A. M., Hejtmancik, J. F., Helgason, G. V., Henkel, V., Herb, M., Hergovich, A., Herman-Antosiewicz, A., Hernandez, A., Hernandez, C., Hernandez-Diaz, S., Hernandez-Gea, V., Herpin, A., Herreros, J., Hervas, J. H., Hesselson, D., Hetz, C., Heussler, V. T., Higuchi, Y., Hilfiker, S., Hill, J. A., Hlavacek, W. S., Ho, E. A., Ho, I. H. T., Ho, P. W. -L., Ho, S. -L., Ho, W. Y., Hobbs, G. A., Hochstrasser, M., Hoet, P. H. M., Hofius, D., Hofman, P., Hohn, A., Holmberg, C. I., Hombrebueno, J. R., Yi-Ren Hong, C. -W. H., Hooper, L. V., Hoppe, T., Horos, R., Hoshida, Y., Hsin, I. -L., Hsu, H. -Y., Hu, B., Hu, D., Hu, L. -F., Hu, M. C., Hu, R., Hu, W., Hu, Y. -C., Hu, Z. -W., Hua, F., Hua, J., Hua, Y., Huan, C., Huang, C., Huang, H., Huang, K., Huang, M. L. H., Huang, R., Huang, S., Huang, T., Huang, X., Huang, Y. J., Huber, T. B., Hubert, V., Hubner, C. A., Hughes, S. M., Hughes, W. E., Humbert, M., Hummer, G., Hurley, J. H., Hussain, S., Hussey, P. J., Hutabarat, M., Hwang, H. -Y., Hwang, S., Ieni, A., Ikeda, F., Imagawa, Y., Imai, Y., Imbriano, C., Imoto, M., Inman, D. M., Inoki, K., Iovanna, J., Iozzo, R. V., Ippolito, G., Irazoqui, J. E., Iribarren, P., Ishaq, M., Ishikawa, M., Ishimwe, N., Isidoro, C., Ismail, N., Issazadeh-Navikas, S., Itakura, E., Ito, D., Ivankovic, D., Ivanova, S., Iyer, A. K. V., Izquierdo, J. M., Izumi, M., Jaattela, M., Jabir, M. S., Jackson, W. T., Jacobo-Herrera, N., Jacomin, A. -C., Jacquin, E., Jadiya, P., Jaeschke, H., Jagannath, C., Jakobi, A. J., Jakobsson, J., Janji, B., Jansen-Durr, P., Jansson, P. J., Jantsch, J., Januszewski, S., Jassey, A., Jean, S., Jeltsch-David, H., Jendelova, P., Jenny, A., Jensen, T. E., Jessen, N., Jewell, J. 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B., Schramm, M., Schroder, B., Schuh, K., Schuller, C., Schulze, R. J., Schurmanns, L., Schwamborn, J. C., Schwarten, M., Scialo, F., Sciarretta, S., Scott, M. J., Scotto, K. W., Scovassi, A. I., Scrima, A., Scrivo, A., Sebastian, D., Sebti, S., Sedej, S., Segatori, L., Segev, N., Seglen, P. O., Seiliez, I., Seki, E., Selleck, S. B., Sellke, F. W., Selsby, J. T., Sendtner, M., Senturk, S., Seranova, E., Sergi, C., Serra-Moreno, R., Sesaki, H., Settembre, C., Setty, S. R. G., Sgarbi, G., Sha, O., Shacka, J. J., Shah, J. A., Shang, D., Shao, C., Shao, F., Sharbati, S., Sharkey, L. M., Sharma, D., Sharma, G., Sharma, K., Sharma, P., Sharma, S., Shen, H. -M., Shen, H., Shen, J., Shen, M., Shen, W., Shen, Z., Sheng, R., Sheng, Z., Sheng, Z. -H., Shi, J., Shi, X., Shi, Y. -H., Shiba-Fukushima, K., Shieh, J. -J., Shimada, Y., Shimizu, S., Shimozawa, M., Shintani, T., Shoemaker, C. J., Shojaei, S., Shoji, I., Shravage, B. V., Shridhar, V., Shu, C. -W., Shu, H. -B., Shui, K., Shukla, A. K., Shutt, T. E., Sica, V., Siddiqui, A., Sierra, A., Sierra-Torre, V., Signorelli, S., Sil, P., Silva, B. J. D. A., Silva, J. D., Silva-Pavez, E., Silvente-Poirot, S., Simmonds, R. E., Simon, A. K., Simon, H. -U., Simons, M., Singh, A., Singh, L. P., Singh, R., Singh, S. V., Singh, S. K., Singh, S. B., Singh, S., Singh, S. P., Sinha, D., Sinha, R. A., Sinha, S., Sirko, A., Sirohi, K., Sivridis, E. L., Skendros, P., Skirycz, A., Slaninova, I., Smaili, S. S., Smertenko, A., Smith, M. D., Soenen, S. J., Sohn, E. J., Sok, S. P. M., Solaini, G., Soldati, T., Soleimanpour, S. A., Soler, R. M., Solovchenko, A., Somarelli, J. A., Sonawane, A., Song, F., Song, H. K., Song, J. -X., Song, K., Song, Z., Soria, L. R., Sorice, M., Soukas, A. A., Soukup, S. -F., Sousa, D., Sousa, N., Spagnuolo, P. A., Spector, S. A., Srinivas Bharath, M. M., S, t. Clair D., Stagni, V., Staiano, L., Stalnecker, C. A., Stankov, M. V., Stathopulos, P. B., Stefan, K., Stefan, S. M., Stefanis, L., Steffan, J. S., Steinkasserer, A., Stenmark, H., Sterneckert, J., Stevens, C., Stoka, V., Storch, S., Stork, B., Strappazzon, F., Strohecker, A. M., Stupack, D. G., Su, H., Su, L. -Y., Su, L., Suarez-Fontes, A. M., Subauste, C. S., Subbian, S., Subirada, P. V., Sudhandiran, G., Sue, C. M., Sui, X., Summers, C., Sun, G., Sun, J., Sun, K., Sun, M. -X., Sun, Q., Sun, Y., Sun, Z., Sunahara, K. K. S., Sundberg, E., Susztak, K., Sutovsky, P., Suzuki, H., Sweeney, G., Symons, J. D., Sze, S. C. W., Szewczyk, N. J., Tabecka-Lonczynska, A., Tabolacci, C., Tacke, F., Taegtmeyer, H., Tafani, M., Tagaya, M., Tai, H., Tait, S. W. G., Takahashi, Y., Takats, S., Talwar, P., Tam, C., Tam, S. Y., Tampellini, D., Tamura, A., Tan, C. T., Tan, E. -K., Tan, Y. -Q., Tanaka, M., Tang, D., Tang, J., Tang, T. -S., Tanida, I., Tao, Z., Taouis, M., Tatenhorst, L., Tavernarakis, N., Taylor, A., Taylor, G. A., Taylor, J. M., Tchetina, E., Tee, A. R., Tegeder, I., Teis, D., Teixeira, N., Teixeira-Clerc, F., Tekirdag, K. A., Tencomnao, T., Tenreiro, S., Tepikin, A. V., Testillano, P. S., Tettamanti, G., Tharaux, P. -L., Thedieck, K., Thekkinghat, A. A., Thellung, S., Thinwa, J. W., Thirumalaikumar, V. P., Thomas, S. M., Thomes, P. G., Thorburn, A., Thukral, L., Thum, T., Thumm, M., Tian, L., Tichy, A., Till, A., Timmerman, V., Titorenko, V. I., Todi, S. V., Todorova, K., Toivonen, J. M., Tomaipitinca, L., Tomar, D., Tomas-Zapico, C., Tomic, S., Tong, B. C. -K., Tong, C., Tong, X., Tooze, S. A., Torgersen, M. L., Torii, S., Torres-Lopez, L., Torriglia, A., Towers, C. G., Towns, R., Toyokuni, S., Trajkovic, V., Tramontano, D., Tran, Q. -G., Travassos, L. H., Trelford, C. B., Tremel, S., Trougakos, I. P., Tsao, B. P., Tschan, M. P., Tse, H. -F., Tse, T. F., Tsugawa, H., Tsvetkov, A. S., Tumbarello, D. A., Tumtas, Y., Tunon, M. J., Turcotte, S., Turk, B., Turk, V., Turner, B. J., Tuxworth, R. I., Tyler, J. K., Tyutereva, E. V., Uchiyama, Y., Ugun-Klusek, A., Uhlig, H. H., Ulamek-Koziol, M., Ulasov, I. V., Umekawa, M., Ungermann, C., Unno, R., Urbe, S., Uribe-Carretero, E., Ustun, S., Uversky, V. N., Vaccari, T., Vaccaro, M. I., Vahsen, B. F., Vakifahmetoglu-Norberg, H., Valdor, R., Valente, M. J., Valko, A., Vallee, R. B., Valverde, A. M., Van den Berghe, G., van der Veen, S., Van Kaer, L., van Loosdregt, J., van Wijk, S. J. L., Vandenberghe, W., Vanhorebeek, I., Vannier-Santos, M. A., Vannini, N., Vanrell, M. C., Vantaggiato, C., Varano, G., Varela-Nieto, I., Varga, M., Vasconcelos, M. H., Vats, S., Vavvas, D. G., Vega-Naredo, I., Vega-Rubin-de-Celis, S., Velasco, G., Velazquez, A. P., Vellai, T., Vellenga, E., Velotti, F., Verdier, M., Verginis, P., Vergne, I., Verkade, P., Verma, M., Verstreken, P., Vervliet, T., Vervoorts, J., Vessoni, A. T., Victor, V. M., Vidal, M., Vidoni, C., Vieira, O. V., Vierstra, R. D., Vigano, S., Vihinen, H., Vijayan, V., Vila, M., Vilar, M., Villalba, J. M., Villalobo, A., Villarejo-Zori, B., Villarroya, F., Villarroya, J., Vincent, O., Vindis, C., Viret, C., Viscomi, M. T., Visnjic, D., Vitale, I., Vocadlo, D. J., Voitsekhovskaja, O. V., Volonte, C., Volta, M., Vomero, M., Von Haefen, C., Vooijs, M. A., Voos, W., Vucicevic, L., Wade-Martins, R., Waguri, S., Waite, K. A., Wakatsuki, S., Walker, D. W., Walker, M. J., Walker, S. A., Walter, J., Wandosell, F. G., Wang, B., Wang, C. -Y., Wang, C., Wang, D., Wang, F., Wang, G., Wang, H., Wang, H. -G., Wang, J., Wang, K., Wang, L., Wang, M. H., Wang, M., Wang, N., Wang, P., Wang, Q. J., Wang, Q., Wang, Q. K., Wang, Q. A., Wang, W. -T., Wang, W., Wang, X., Wang, Y., Wang, Y. -Y., Wang, Z., Warnes, G., Warnsmann, V., Watada, H., Watanabe, E., Watchon, M., Wawrzynska, A., Weaver, T. E., Wegrzyn, G., Wehman, A. M., Wei, H., Wei, L., Wei, T., Wei, Y., Weiergraber, O. H., Weihl, C. C., Weindl, G., Weiskirchen, R., Wells, A., Wen, R. H., Wen, X., Werner, A., Weykopf, B., Wheatley, S. P., Whitton, J. L., Whitworth, A. J., Wiktorska, K., Wildenberg, M. E., Wileman, T., Wilkinson, S., Willbold, D., Williams, B., Williams, R. S. B., Williams, R. L., Williamson, P. R., Wilson, R. A., Winner, B., Winsor, N. J., Witkin, S. S., Wodrich, H., Woehlbier, U., Wollert, T., Wong, E., Wong, J. H., Wong, R. W., Wong, V. K. W., Wong, W. W. -L., Wu, A. -G., Wu, C., Wu, J., Wu, K. K., Wu, M., Wu, S. -Y., Wu, S., Wu, W. K. K., Wu, X., Wu, Y. -W., Wu, Y., Xavier, R. J., Xia, H., Xia, L., Xia, Z., Xiang, G., Xiang, J., Xiang, M., Xiang, W., Xiao, B., Xiao, G., Xiao, H., Xiao, H. -T., Xiao, J., Xiao, L., Xiao, S., Xiao, Y., Xie, B., Xie, C. -M., Xie, M., Xie, Y., Xie, Z., Xilouri, M., Xu, C., Xu, E., Xu, H., Xu, J., Xu, L., Xu, W. W., Xu, X., Xue, Y., Yakhine-Diop, S. M. S., Yamaguchi, M., Yamaguchi, O., Yamamoto, A., Yamashina, S., Yan, S., Yan, S. -J., Yan, Z., Yanagi, Y., Yang, C., Yang, D. -S., Yang, H., Yang, H. -T., Yang, J. -M., Yang, J., Yang, L., Yang, M., Yang, P. -M., Yang, Q., Yang, S., Yang, S. -F., Yang, W., Yang, W. Y., Yang, X., Yang, Y., Yao, H., Yao, S., Yao, X., Yao, Y. -G., Yao, Y. -M., Yasui, T., Yazdankhah, M., Yen, P. M., Yi, C., Yin, X. -M., Yin, Y., Yin, Z., Ying, M., Ying, Z., Yip, C. K., Yiu, S. P. T., Yoo, Y. H., Yoshida, K., Yoshii, S. R., Yoshimori, T., Yousefi, B., Yu, B., Yu, H., Yu, J., Yu, L., Yu, M. -L., Yu, S. -W., Yu, V. C., Yu, W. H., Yu, Z., Yuan, J., Yuan, L. -Q., Yuan, S., Yuan, S. -S. F., Yuan, Y., Yuan, Z., Yue, J., Yue, Z., Yun, J., Yung, R. L., Zacks, D. N., Zaffagnini, G., Zambelli, V. O., Zanella, I., Zang, Q. S., Zanivan, S., Zappavigna, S., Zaragoza, P., Zarbalis, K. S., Zarebkohan, A., Zarrouk, A., Zeitlin, S. O., Zeng, J., Zeng, J. -D., Zerovnik, E., Zhan, L., Zhang, B., Zhang, D. D., Zhang, H., Zhang, H. -L., Zhang, J., Zhang, J. -P., Zhang, K. Y. B., Zhang, L. W., Zhang, L., Zhang, M., Zhang, P., Zhang, S., Zhang, W., Zhang, X., Zhang, X. -W., Zhang, X. D., Zhang, Y., Zhang, Y. -D., Zhang, Y. -Y., Zhang, Z., Zhao, H., Zhao, L., Zhao, S., Zhao, T., Zhao, X. -F., Zhao, Y., Zheng, G., Zheng, K., Zheng, L., Zheng, S., Zheng, X. -L., Zheng, Y., Zheng, Z. -G., Zhivotovsky, B., Zhong, Q., Zhou, A., Zhou, B., Zhou, C., Zhou, G., Zhou, H., Zhou, J., Zhou, K., Zhou, R., Zhou, X. -J., Zhou, Y., Zhou, Z. -Y., Zhou, Z., Zhu, B., Zhu, C., Zhu, G. -Q., Zhu, H., Zhu, W. -G., Zhu, Y., Zhuang, H., Zhuang, X., Zientara-Rytter, K., Zimmermann, C. M., Ziviani, E., Zoladek, T., Zong, W. -X., Zorov, D. B., Zorzano, A., Zou, W., Zou, Z., Zuryn, S., Zwerschke, W., Brand-Saberi, B., Dong, X. C., Kenchappa, C. S., Lin, Y., Oshima, S., Rong, Y., Sluimer, J. C., Stallings, C. L., Tong, C. -K., and Centre National de la Recherche Scientifique (CNRS)
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0301 basic medicine ,Programmed cell death ,Settore BIO/06 ,Autophagosome ,Autolysosome ,[SDV]Life Sciences [q-bio] ,lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4] ,Autophagy-Related Proteins ,Review ,Computational biology ,[SDV.BC]Life Sciences [q-bio]/Cellular Biology ,Biology ,Settore MED/04 ,03 medical and health sciences ,stress ,Chaperone-mediated autophagy ,ddc:570 ,Autophagy ,LC3 ,Animals ,Humans ,cancer ,Settore BIO/10 ,flux ,lysosome ,macroautophagy ,neurodegeneration ,phagophore ,vacuole ,Set (psychology) ,Molecular Biology ,030102 biochemistry & molecular biology ,business.industry ,Interpretation (philosophy) ,Autophagosomes ,Cell Biology ,Multicellular organism ,030104 developmental biology ,Knowledge base ,Biological Assay ,Lysosomes ,business ,Biomarkers ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
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- 2021
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43. Formation Conditions and Distribution of Pre-salt Carbonate Reservoirs in Amu Darya Basin
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Liang-jie Zhang, Zhen-hua Bai, Huai-long Chen, Hou-qin Zhu, Hong-jun Wang, and Guang-yao Wen
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business.industry ,Geochemistry ,Structural basin ,Petroleum reservoir ,Cretaceous ,chemistry.chemical_compound ,chemistry ,Source rock ,Natural gas ,Carbonate ,Carbonate rock ,business ,Paleogene ,Geology - Abstract
Amu Darya Basin is an important gas-rich basin in Central Asia. In recent years, some small-sized and sporadically-distributed oil reservoirs have been discovered in this basin during exploration of pre-salt gas. However, the oil reservoir-forming conditions, distribution and size of these oil reservoirs are not clear, which brings troubles to exploration and development. The tectonic evolution, geochemical analysis, oil-source rock correlation and the simulation & analysis of hydrocarbon generation from source rocks made for the framework cross-section in the Amu Darya Right Bank have revealed that: 1) There are three sets of source rocks, including the Lower-to-Middle Jurassic coal-bearing strata, Upper Jurassic marlstones and mudstones, and crude oil mainly comes from the Upper Jurassic mudstones; 2) The Lower-to-Middle Jurassic coal-bearing source rocks, which matured at the beginning of Early Cretaceous and entered the peak hydrocarbon generation stage at the beginning of Late Cretaceous, are now mainly in the stage of wet gas and dry gas; whilst the Middle-to-Upper Jurassic marlstones and mudstones, which matured at the end of Early Cretaceous and entered the peak hydrocarbon generation stage at the end of Late Cretaceous, are now mainly in the stage of oil generation window; 3) At the beginning of Late Cretaceous, hydrocarbon accumulations were formed in pre-salt reef and shoal traps and low-amplitude inherited uplifts, and pre-salt thrust structures of Paleogene age began to develop. The Lower-to-Middle Jurassic natural gas migrated to carbonate rocks on a large scale, and the natural gas expelled crude oil that accumulated earlier to form gas reservoirs. Gas-cap oil reservoirs were formed as some crude oil was not completely expelled; 4) The development of paleo-traps in the early period and the weak expulsion of natural gas in the late period are important conditions for the formation of oil reservoirs. The areas featured by a paleo-uplift setting in the early stage and now located in a sag zone are the plays for development of oil reservoirs, which are dominated by small-sized oil reservoirs and limited in overall size of resources.
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- 2021
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44. Direct synthesis of passband impedance matching with nonuniform transmission lines
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Yao-Wen Hsu and Kuester, E.F.
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Impedance (Electricity) -- Measurement ,Least squares -- Usage ,Microwave transmission lines -- Usage ,Business ,Computers ,Electronics ,Electronics and electrical industries - Published
- 2010
45. Rectal Cancer With Synchronous Tonsillar Metastasis: A Case Report and Literature Review
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Yen-Jung Huang, Shang-Heng Wu, Chih-Tien Chen, and Yao-Wen Hsieh
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Oncology ,medicine.medical_specialty ,Colorectal cancer ,Palatine Tonsil ,Tonsillar Neoplasms ,Adenocarcinoma ,Palatine tonsil ,Metastasis ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Rectal Adenocarcinoma ,Medicine ,Humans ,030223 otorhinolaryngology ,business.industry ,Rectal Neoplasms ,Cancer ,medicine.disease ,Respiratory Tract Neoplasms ,medicine.anatomical_structure ,Otorhinolaryngology ,Head and Neck Neoplasms ,030220 oncology & carcinogenesis ,Tonsil ,Synchronous metastasis ,business - Abstract
Colorectal cancer is the third most common cancer globally and nearly one fourth of distant metastases are found at the time of the primary diagnosis. Synchronous metastasis of colorectal cancer to the palatine tonsil is rare. To date, only 5 cases have been published in the English literature. In such cases, the prognosis is worse than in other common metastatic sites. Herein, we report a case of rectal adenocarcinoma who presented with a tonsillar mass initially.
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- 2020
46. Intelligent design automation for 2.5/3D heterogeneous SoC integration
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Chung-Ping Chen, Yao-Wen Chang, Iris Hui-Ru Jiang, and Jiun-Lang Huang
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Computer science ,business.industry ,Integration testing ,Embedded system ,Programmable logic controller ,Three-dimensional integrated circuit ,System on a chip ,Integrated circuit design ,Physical design ,business ,Automation ,Wafer-level packaging - Abstract
As the design complexity grows dramatically in modern circuit designs, 2.5D/3D chip/package/board integration has become a key to beat process limitation for optimizing system performance and power consumption. Among the explored technologies, the wafer-level integrated fan-out (InFO) package-on-package (PoP) has been adopted by major companies such as TSMC to achieve high-density, high-performance, low-cost packaging solutions. To achieve a high-quality 2.5D/3D heterogeneous integration system, we shall study the chip, package, and board codesign methodology with advanced packages and explore key techniques to handle the emerging challenges in physical design, timing, electrical effects, and testing.1
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- 2020
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47. Thermal Performance Analysis and Heat Transfer Enhancement Study in an Antminer Mining Machine
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Yao Wen Chang, Wen Xiao Chu, Chi-Chuan Wang, and Yi Yu Hu
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Fluid Flow and Transfer Processes ,Materials science ,business.industry ,020209 energy ,Heat transfer enhancement ,Airflow ,General Engineering ,Hot spot (veterinary medicine) ,02 engineering and technology ,Mechanics ,Computational fluid dynamics ,Heat sink ,Condensed Matter Physics ,020401 chemical engineering ,Thermal ,Heat transfer ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,0204 chemical engineering ,business - Abstract
In this paper, the thermal performance of an AntMiner mining machine containing 189 chips on three printed circuit board (PCBs) is experimentally studied. The numerical method is applied to analyze the local airflow and thermal distribution alongside the flow direction and shows a good agreement with the experimental results. Some hot-spot regions are identified where chips might suffer under high-temperature operating condition. Meanwhile, the highly compact arrangement may result in pronounced bypass and jeopardize the thermal performance of the mining machine rapidly; thereby, the airflow management strategy for such confined compartment is implemented. The result shows that the flowrate distribution can be notably improved. Although the total flowrate is slightly reduced by 4.4%, the maximum chip temperature on three PCBs can be reduced by 3.2 °C, 3.5 °C, and 3.0 °C, and the corresponding improvement on thermal performance reaches 13.3%, 15.6%, and 13.0%, respectively. Furthermore, the maximum temperature of the downstream chips will be reduced by 2.5 °C when incorporating the “partial bypass” design by the removal of 12 backside heat sinks. The corresponding heat transfer performance is improved by 8.9–13.9%.
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- 2020
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48. Phantom simulation of liver metastasis on a positron emission tomography with computed tomography scan after neoadjuvant chemoradiotherapy for distal esophageal cancer: a case report
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Yuan-Hong Lin, Shih-Chieh Hung, Yi-Ling Lai, Yao-Wen Hsieh, Sen-Ei Shai, and Hsiao-Wen Tang
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Male ,PET-CT scan ,medicine.medical_specialty ,Esophageal Neoplasms ,medicine.medical_treatment ,Esophageal cancer ,lcsh:Medicine ,Case Report ,Standardized uptake value ,030218 nuclear medicine & medical imaging ,Metastasis ,03 medical and health sciences ,Liver disease ,0302 clinical medicine ,Positron Emission Tomography Computed Tomography ,medicine ,Humans ,Radiation Injuries ,Liver metastasis ,Aged, 80 and over ,PET-CT ,medicine.diagnostic_test ,Phantoms, Imaging ,business.industry ,Liver Diseases ,lcsh:R ,Chemoradiotherapy, Adjuvant ,General Medicine ,medicine.disease ,Radiation therapy ,Positron emission tomography ,030220 oncology & carcinogenesis ,Liver biopsy ,Carcinoma, Squamous Cell ,Radiology ,business - Abstract
Background Neoadjuvant chemoradiotherapy is currently the gold standard treatment for esophageal cancer prior to surgery. This radiation therapy will sometimes lead to liver damage parallel to esophageal lesions, which mimics liver metastasis visualized by 18F-fluorodeoxyglucose positron emission tomography with computed tomography. In this report, we publish virtual radiation-induced liver damage images obtained during surgery, along with the coherent pathology, in order to confirm the false-positive result through an optimally decisive radiological examination. Case presentation We report a case of a Asian male patient with distal esophageal cancer who had undergone neoadjuvant chemoradiotherapy (5000 cGy). Subsequently, a new lesion was discovered during a positron emission tomography with computed tomography scan 6 weeks later, near the left caudate lobe of the liver during tumor restaging. To exclude the possibility of liver metastasis, serial imaging was conducted, which included liver sonography, computed tomography, and magnetic resonance imaging for a more intimate probe. The patient’s condition was verified as being liver inflammation change, as seen by the liver magnetic resonance imaging presentation. Thoracoscopic esophagectomy was performed with cervical esophagogastrostomy via the retrosternal route, along with a feeding jejunostomy. The procedure was performed smoothly, with an intraoperative liver biopsy also being conducted 2 weeks later, after positron emission tomography with computed tomography restaging. The pathology report revealed esophageal cancer in the form of poorly differentiated squamous cell carcinoma, pT3N1M0. The liver biopsy revealed obvious inflammation change after radiation therapy, which elucidated sinusoidal congestion with the attenuated hepatic cords and filled with erythrocytes. There was no evidence of liver metastasis. The patient recovered uneventfully and was discharged with his oral intake performing smoothly, and a stable condition was observed during 12 months of outpatient department follow-up. Conclusions New foci of increased 18F-fluorodeoxyglucose avidity are commonly seen in the caudate and left hepatic lobes of the liver during neoadjuvant chemoradiation for distal esophageal cancer, and these findings generally reflect radiation-induced liver disease rather than metastatic disease. Awareness of the pitfalls of a high 18F-fluorodeoxyglucose uptake in radiation-induced liver injury is crucial in order to avoid misinterpretation and overstaging. Except for the location of 18F-fluorodeoxyglucose uptake, the shape of the lesion, and an maximum standardized uptake value (> 10/h), a convincing liver magnetic resonance imaging scan or even a liver biopsy can provide accurate information for distinguishing radiotherapy-induced liver injury from liver metastasis.
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- 2020
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49. Study of the Walk-Out Effect of Junction Breakdown Instability of the High-Voltage Depletion-Mode N-Channel MOSFET for NAND Flash Peripheral Device and an Efficient Layout Solution
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Chieh Roger Lo, Teng-Hao Yeh, Wei-Chen Chen, Hang-Ting Lue, Keh-Chung Wang, Chih-Yuan Lu, Yao-Wen Chang, Yung-Hsiang Chen, and Chu-Yung Liu
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010302 applied physics ,Materials science ,business.industry ,020208 electrical & electronic engineering ,Transistor ,NAND gate ,High voltage ,02 engineering and technology ,01 natural sciences ,law.invention ,law ,0103 physical sciences ,MOSFET ,0202 electrical engineering, electronic engineering, information engineering ,Breakdown voltage ,Optoelectronics ,business ,NMOS logic ,Quantum tunnelling ,Voltage - Abstract
In this paper, we report the junction breakdown instability of a depletion-mode high-voltage NMOSFET (DN) used in the NAND Flash peripheral circuit. Such DN device needs to sustain the highest voltage (>30V) during NAND Flash programming [1]-[2]. We observed instability of the junction breakdown in the product chip. Electrical measurement shows that the first measured breakdown voltage (BV DSS ) from virgin state is usually lower than that after stress, which is called the "walk-out" effect [3]-[4]. The walk-out effect can be recovered by a high-temperature baking, indicating it’s not a permanent damage. TCAD simulation suggests that gate edge hole trapping by the band-to-band tunneling injection is the root cause of such walk-out effect [5]-[6]. The conventional layout structure of the DN has a large overlap of the buried-channel N-type doping with the light-doped drain (LDD), leading to the worse walk-out effect than normal HV NMOS. To suppress this effect, we propose an optimal layout design method of DN to avoid the overlap of N-type buried-channel doping with the LDD. Experimental results show very good improvements of BV DSS with acceptable transistor performances.
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- 2020
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50. Association of weaning preparedness with extubation outcome of mechanically ventilated patients in medical intensive care units: a retrospective analysis
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Yao-Wen Kuo, Huey-Dong Wu, Jih-Shuin Jerng, and Feng-Ching Lin
- Subjects
Weaning parameters ,medicine.medical_specialty ,Emergency and Critical Care ,Preparedness ,medicine.medical_treatment ,lcsh:Medicine ,Weaning ,Respiratory failure ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,0302 clinical medicine ,Mechanical ventilation ,Extubation ,Intensive care ,medicine ,Liberation from ventilator ,Prospective cohort study ,Respiratory Medicine ,business.industry ,General Neuroscience ,lcsh:R ,030208 emergency & critical care medicine ,General Medicine ,Endotracheal tube ,Checklist ,030228 respiratory system ,Emergency medicine ,General Agricultural and Biological Sciences ,Airway ,business - Abstract
Background Assessment of preparedness of weaning has been recommended before extubation for mechanically ventilated patients. We aimed to understand the association of a structured assessment of weaning preparedness with successful liberation. Methods We retrospectively investigated patients with acute respiratory failure who experienced an extubation trial at the medical intensive care units of a medical center and compared the demographic and clinical characteristics between those patients with successful and failed extubation. A composite score to assess the preparedness of weaning, the WEANSNOW score, was generated consisting of eight components, including Weaning parameters, Endotracheal tube, Arterial blood gas analysis, Nutrition, Secretions, Neuromuscular-affecting agents, Obstructive airway problems and Wakefulness. The prognostic ability of the WEANSNOW score for extubation was then analyzed. Results Of the 205 patients included, 138 (67.3%) patients had successful extubation. Compared with the failure group, the success group had a significantly shorter duration of MV before the weaning attempt (11.2 ± 11.6 vs. 31.7 ± 26.2 days, p < 0.001), more with congestive heart failure (42.0% vs. 25.4%, p = 0.020), and had different distribution of the types of acute respiratory failure (p = 0.037). The failure group also had a higher WEANSNOW score (1.22 ± 0.85 vs. 0.51 ± 0.71, p < 0.001) and worse Rapid Shallow Breathing Index (93.9 ± 63.8 vs. 56.3 ± 35.1, p < 0.001). Multivariate logistic regression analysis showed that a WEANSNOW Score = 1 or higher (OR = 2.880 (95% CI [1.291–6.426]), p = 0.010) and intubation duration >21 days (OR = 7.752 (95% CI [3.560–16.879]), p < 0.001) were independently associated with an increased probability of extubation failure. Conclusion Assessing the pre-extubation status of intubated patients in a checklist-based approach using the WEANSNOW score might provide valuable insights into extubation failure in patients in a medical ICU for acute respiratory failure. Further prospective studies are warranted to elucidate the practice of assessing weaning preparedness.
- Published
- 2020
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