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Conserved signaling pathways underlying heterotopic ossification

Chen Kan, Lijun Chen, Yangyang Hu, Na Ding, Haimei Lu, Yuyun Li, John A. Kessler, Lixin Kan
2018 Bone  
Chen et al. recently described design of peptide aptamers to disrupt this Yap-Smad interaction thereby providing a new potential therapeutic approach to HO [20] .  ... 
doi:10.1016/j.bone.2017.04.014 pmid:28455214 pmcid:PMC5801212 fatcat:fszzsc6fj5erpeulh65z46artu

The burning questions of heterotopic ossification

Chen Kan, Lixin Kan
2015 Annals of Translational Medicine  
doi:10.3978/j.issn.2305-5839.2015.01.09 pmid:25738134 pmcid:PMC4322170 fatcat:m2kvxxm64ffxrp74l4tlgjz5iy

Teachers' Perceptions of Teaching Sustainable Artificial Intelligence: A Design Frame Perspective

Xiao-Fan Lin, Lu Chen, Kan Kan Chan, Shiqing Peng, Xifan Chen, Siqi Xie, Jiachun Liu, Qintai Hu
2022 Sustainability  
Teaching artificial intelligence (AI) is an emerging challenge in global school education. There are considerable barriers to overcome, including the existing practices of technology education and teachers' knowledge of AI. Research evidence shows that studying teachers' experiences can be beneficial in informing how appropriate design in teaching sustainable AI should evolve. Design frames characterize teachers' design reasoning and can substantially influence their AI lesson design
more » ... ons. This study examined 18 experienced teachers' perceptions of teaching AI and identified effective designs to support AI instruction. Data collection methods involved semi-structured interviews, action study, classroom observation, and post-lesson discussions with the purpose of analyzing the teachers' perceptions of teaching AI. Grounded theory was employed to detail how teachers understand the pedagogical challenges of teaching AI and the emerging pedagogical solutions from their perspectives. Results reveal that effective AI instructional design should encompass five important components: (1) obstacles to and facilitators of participation in teaching AI, (2) interactive design thinking processes, (3) teachers' knowledge of teaching AI, (4) orienteering AI knowledge for social good, and (5) the holistic understanding of teaching AI. The implications for future teacher AI professional development activities are proposed.
doi:10.3390/su14137811 fatcat:lozlfeczcbhnjli7dfm3pte4f4

Long Term Surgical Outcome and Prognostic Factors of Atypical and Malignant Meningiomas

Yu-Chi Wang, Chi-Cheng Chuang, Kuo-Chen Wei, Cheng-Nen Chang, Shih-Tseng Lee, Chieh-Tsai Wu, Yung-Hsin Hsu, Tzu-Kan Lin, Peng-Wei Hsu, Yin-Cheng Huang, Chen-Kan Tseng, Chun-Chieh Wang (+2 others)
2016 Scientific Reports  
Atypical and malignant meningiomas are rare. Our aim was to examine the treatment outcomes following surgical resection, and analyze associations between clinical characteristics and overall survival (OS) or relapse free survival (RFS). 102 patients with atypical or malignant meningiomas underwent microsurgical resection between June 2001 and November 2009 were analyzed retrospectively. We compared demographics, clinical characteristics, treatment, and complications. The five-year and ten-year
more » ... verall survival rates were 93.5% and 83.4%, respectively. Three factors significantly reduced OS: Malignant meningiomas (p < 0.001), which also decreased RFS (p < 0.001); female patients ( p = 0.049), and patients with Karnofsky Performance Status (KPS) < 70 at diagnosis (p = 0.009). Fifty two patients (51%) experienced tumor relapse. Total resection of tumors significantly impacted RFS (p = 0.013). Tumors located at parasagittal and posterior fossa area lead to higher relapse rate (p = 0.004). Subtotal resection without adjuvant radiotherapy lead to the worst local control of tumor (p = 0.030). An MIB-1 index <8% improved OS and RFS (p = 0.003). Total resection of atypical and malignant meningiomas provided better outcome and local control. Adjuvant radiation therapy is indicated for patients with malignant meningiomas, with incompletely excised tumors; or with tumors in the parasagittal or posterior fossa area. The MIB-1 index of the tumor is an independent prognostic factor of clinical outcome. Meningiomas, one of the most common intracranial tumors, accounts for 13% to 26% of brain tumors and have an annual incidence of 6 per 100,000 people 1 . In 2000 and 2007, World Health Organization(WHO) graded meningiomas with histological standards. The standards are based on both of subjective and objective (mitotic index) criteria 2 : around 90% are benign (WHO grade I), 5-7% are atypical (WHO grade II), and only 1-3% are considered anaplastic or malignant (WHO grade III) 3 . This recent adoption of modern grading criteria and the rarity of the malignant subtype have limited the amount of available data on the clinical behavior, outcomes, and optimal treatment of meningiomas 4 . Benign meningiomas contribute to relatively good prognosis, but atypical and malignant meningiomas show rapid progression and more invasion. Five-year progression-free survival and overall survival of approximately 50% and 60%, respectively was shown 1,4-6 . Gross total resection (GTR) is the optimal surgical principle for benign meningiomas, but the standard of care for atypical and malignant meningiomas has yet to be established 7,8 . The two high grade histopathology tumor types are more brain invasive, and radical surgical strategies can lead to high morbidity and poor overall outcome 9 . Previous literature shows that age less than 40 years, cranial base meningiomas, and male sex are associated with recurrence in benign meningiomas that have been subtotally excised, but such data are not available for atypical and anaplastic meningiomas 1,10 . Both benign and malignant meningiomas have an equal propensity to bleed, whereas malignant tumors are not necessarily more vascular than benign tumors 1 . Pre-operative embolization of meningiomas helps reduce intra-operative tumor bleeding, which may decrease surgical time and make surgical resection easier 11 . The
doi:10.1038/srep35743 pmid:27760993 pmcid:PMC5071760 fatcat:h4j5tklohrefxcqzupob5ryzie

Learning Word Embeddings from Intrinsic and Extrinsic Views [article]

Jifan Chen, Kan Chen, Xipeng Qiu, Qi Zhang, Xuanjing Huang, Zheng Zhang
2016 arXiv   pre-print
., 2013) , discourse relation detection (Chen et al., 2016) and so on.  ... 
arXiv:1608.05852v1 fatcat:7ttexqon75gr5a4b3ogflwdbh4

Microenvironmental factors that regulate mesenchymal stem cells: lessons learned from the study of heterotopic ossification

Chen Kan, Lijun Chen, Yangyang Hu, Haimei Lu, Yuyun Li, John A Kessler, Lixin Kan
2017 Histology and Histopathology  
this suggests that estrogen may have a significant influence on osteogenic differentiation of MSC in osteoporotic women (Chen et al., 2013) .  ...  Author Manuscript Author Manuscript Author Manuscript Author Manuscript Kan et al. Page 16 Table 2 Summary of the effects of various trophic factors on MSCs. Recruit MSCs?  ...  Lau and Wang, 2011; Chen et al., 2016a,b; Hosogane et al., 2010 TNF-α: Tumor Necrosis Factor-α; LPS: Lipopolysaccharide; IFN-γ: Intereron-γ; SDF-l: Stromal Cells Derived Factors-1.  ... 
doi:10.14670/hh-11-890 pmid:28328009 pmcid:PMC5809774 fatcat:bfewv2bkdndyxic3j6a2x7coru

AMC: Attention guided Multi-modal Correlation Learning for Image Search [article]

Kan Chen, Trung Bui, Fang Chen, Zhaowen Wang, Ram Nevatia
2017 arXiv   pre-print
[38] and Chen et al. [1] apply attention networks that focus on useful regions in visual question answering (VQA) task. Xiong et al.  ... 
arXiv:1704.00763v1 fatcat:uvlsm4nh6ne3hdzhulcsgwrrfm

A calibration-free method for biosensing in cell manufacturing [article]

Jialei Chen, Zhaonan Liu, Kan Wang, Chen Jiang, Chuck Zhang, Ben Wang
2020 arXiv   pre-print
., 2018; Chen et al., 2019) . Assume for now δ i (x, η) = δ i (η), which suggests that the mean relationship µ i (·) extracts all the dependency of x on y (further discussion in Section 3.4).  ...  In this case, physics-informed deep learning frameworks in the literature (Raissi et al., 2017; Chen et al., 2020) appear to be suitable for recovering critical quality attributes in cell manufacturing  ... 
arXiv:2007.14391v1 fatcat:oozrskbfang6vonjbk5pqazhqe

Increased cancer mortality in Taiwanese inter-island migrants

Meng-Kan Chen, Hsiu-Hsi Chen
2013 Geospatial Health  
China (Chen, 2011) .  ...  ., 2010) , within Indonesia (Lu, 2008) and within Beijing (Chen, 2011) .  ... 
doi:10.4081/gh.2013.84 pmid:23733288 fatcat:rd6fpcajijhf5g5ghrtsleyscu

Probabilistic Autoreductions [chapter]

Liyu Zhang, Chen Yuan, Haibin Kan
2016 Lecture Notes in Computer Science  
We consider autoreducibility of complete sets for the two common types of probabilistic polynomial-time reductions: RP reductions containing one-sided errors on positive input instances only, and BPP reductions containing two-sided errors. Specifically, we focus on the probabilistic counterparts of the deterministic many-one and truthtable autoreductions. We prove that non-trivial complete sets of NP are autoreducible for the RP many-one reduction. This extends the result by Glaßer et al.
more » ... that complete sets of NP are autoreducible for the deterministic many-one reduction. We also prove that complete sets of classes in the truth-table Polynomial Hierarchy, which is the polynomial hierarchy defined using the truth-table reduction instead of the general Turing reduction, are autoreducible with respect to the BPP truth-table reductions. This generalizes the result by Buhrman et. al. (2000) that truth-table-complete sets for NP are probabilistically truth-table autoreducible to multiple classes of higher complexity although for a weaker reduction.
doi:10.1007/978-3-662-49192-8_34 fatcat:mtudxhfu35hnlmuya5g2o562mm

CALML6 Controls TAK1 Ubiquitination and Confers Protection against Acute Inflammation

Chunjie Sheng, Ziyang Wang, Chen Yao, Hui-Ming Chen, Guangyan Kan, Dan Wang, Hongyuan Chen, Shuai Chen
2020 Journal of Immunology  
Proper regulation of innate immune response is important for individual health. The NF-κB signaling pathway plays crucial roles in innate immunity and inflammation, and its aberrant activation is implicated in diverse diseases and disorders. In this study, we report that calmodulin-like 6 (CALML6), a member of the EF-hand protein family, is a negative regulator of the NF-κB signaling pathway. CALML6 attenuated TNF-stimulated phosphorylation of proteins downstream of TGF-β-activated kinase 1
more » ... 1) and inhibited TAK1-induced NF-κB activation. Further studies showed that CALML6 interacted with TAK1 and recruited the deubiquitylating enzyme cylindromatosis to repress the K63-linked polyubiquitination of TAK1. CALML6 transgenic mice had higher tolerances to lethal LPS treatment in vivo. These findings suggest that CALML6 is a negative regulator of the NF-κB signaling pathway, which is important for maintaining the balance of the innate immune response.
doi:10.4049/jimmunol.1901042 pmid:32303555 fatcat:3yhiww234bgf3jq65yq4es7bvm

Intelligent Electromagnetic Sensors for Non-Invasive Trojan Detection

Ethan Chen, John Kan, Bo-Yuan Yang, Jimmy Zhu, Vanessa Chen
2021 Sensors  
Rapid growth of sensors and the Internet of Things is transforming society, the economy and the quality of life. Many devices at the extreme edge collect and transmit sensitive information wirelessly for remote computing. The device behavior can be monitored through side-channel emissions, including power consumption and electromagnetic (EM) emissions. This study presents a holistic self-testing approach incorporating nanoscale EM sensing devices and an energy-efficient learning module to
more » ... security threats and malicious attacks directly at the front-end sensors. The built-in threat detection approach using the intelligent EM sensors distributed on the power lines is developed to detect abnormal data activities without degrading the performance while achieving good energy efficiency. The minimal usage of energy and space can allow the energy-constrained wireless devices to have an on-chip detection system to predict malicious attacks rapidly in the front line.
doi:10.3390/s21248288 pmid:34960382 pmcid:PMC8708266 fatcat:2kp2lrthebhv5ixzabfbhnpxca

Manipulating Smith-Purcell Emission with Babinet Metasurfaces

Zuojia Wang, Kan Yao, Min Chen, Hongsheng Chen, Yongmin Liu
2016 Physical Review Letters  
Swift electrons moving closely parallel to a periodic grating produce far-field radiation of light, which is known as the Smith-Purcell effect. In this letter, we demonstrate that designer Babinet metasurfaces composed of C-aperture resonators offer a powerful control over the polarization state of the Smith-Purcell emission, which can hardly be achieved via traditional gratings. By coupling the intrinsically non-radiative energy bound at the source current sheet to the out-of-plane electric
more » ... ole and in-plane magnetic dipole of the C-aperture resonator, we are able to excite cross-polarized light thanks to the bianisotropic nature of the metasurface. The polarization direction of the emitted light is aligned with the orientation of the C-aperture resonator. Furthermore, the efficiency of the Smith-Purcell emission from Babinet metasurfaces is efficiently increased by 84%, in comparison with the case of conventional gratings. These findings not only open up a new way to manipulate the electron-beam-induced emission in the near-field region, but also promise compact, tunable and efficient light sources and particle detectors.
doi:10.1103/physrevlett.117.157401 pmid:27768326 fatcat:e6umw7c7qbh6lcvaa5f6hnfctu


Jing Kan, Zhen Ge, Tanveer S. Rab, Shao-Liang Chen
2016 JACC: Cardiovascular Interventions  
doi:10.1016/j.jcin.2016.08.007 pmid:27712744 fatcat:4uabkl7rw5f7vj7b2fh6greobq

Weakly Supervised Object Detection with Segmentation Collaboration [article]

Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen
2019 arXiv   pre-print
Weakly supervised object detection aims at learning precise object detectors, given image category labels. In recent prevailing works, this problem is generally formulated as a multiple instance learning module guided by an image classification loss. The object bounding box is assumed to be the one contributing most to the classification among all proposals. However, the region contributing most is also likely to be a crucial part or the supporting context of an object. To obtain a more
more » ... detector, in this work we propose a novel end-to-end weakly supervised detection approach, where a newly introduced generative adversarial segmentation module interacts with the conventional detection module in a collaborative loop. The collaboration mechanism takes full advantages of the complementary interpretations of the weakly supervised localization task, namely detection and segmentation tasks, forming a more comprehensive solution. Consequently, our method obtains more precise object bounding boxes, rather than parts or irrelevant surroundings. Expectedly, the proposed method achieves an accuracy of 51.0% on the PASCAL VOC 2007 dataset, outperforming the state-of-the-arts and demonstrating its superiority for weakly supervised object detection.
arXiv:1904.00551v1 fatcat:57bs5vuwbbgojfisjlx7ija3ze
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