Saturday, September 24, 2022

十月份演講


    羅立 (Li Lo),國立臺灣大學地質科學系

 10/08
    JupyterHub 迷你工作坊:開放科學的雲端基地
    鄭懷傑 (Whyjay Zheng)Postdoc, Department of Statistics, University of California Berkeley

 10/15
   用神經影像預測經聚焦超音波底視丘切開術治療的帕金森氏病患之術後效果
     林素堇 (Sue-Jin Lin), Postdoctoral Researcher, Montreal Neurological Institute, McGill University

 10/22
    尋找拓樸超導體:量子電腦的新材料
     許宜婷 (Yi-Ting Hsu),Assistant professor, University of Notre Dame

 10/29
    可解釋機器學習:理論與應用
     莊喻能 (Yu-Neng Chuang), Ph.D. Student, Rice University

可解釋機器學習:理論與應用


Speaker:
莊喻能 (Yu-Neng Chuang), Ph.D. Student, Rice University

Time:
10/29/2022 06:00 PM PDT
10/29/2022 07:00 PM MDT
10/29/2022 08:00 PM CDT
10/29/2022 09:00 PM EDT
10/30/2022 01:00 AM GMT
10/30/2022 02:00 AM CET
10/30/2022 09:00 AM Taiwan


研究領域 (Field):
Computer Science
研究子領域 (Sub-field):
TrustworthyAI, Recommender Systems
其他關鍵字 (Supplementary keywords):
interpretable machine learning; explainable artificial intelligence

Abstract:
Despite the remarkable achievement of machine learning in various fields, such as music recommendations of Spotify and neural language translation of Google, designing responsible and accountable ML systems remains a significant problem because of the practical requirements of the stakeholders and the regulations in different domains. Interpretable machine learning hereby provides the transparency of the particular decisions made by machine learning systems. The interpretable machine learning tackles the critical problem that humans cannot understand the behaviors of complex machine learning models and how these models arrive at a particular decision. From this perspective, this talk will mainly focus on introducing interpretable machine learning from both theoretical aspects and its applications.

尋找拓樸超導體:量子電腦的新材料

Title:
尋找拓樸超導體:量子電腦的新材料

Speaker:
許宜婷 (Yi-Ting Hsu), Assistant professor,, University of Notre Dame

Time:
10/22/2022 06:00 PM PDT
10/22/2022 07:00 PM MDT
10/22/2022 08:00 PM CDT
10/22/2022 09:00 PM EDT
10/23/2022 02:00 AM BST
10/23/2022 03:00 AM CEST
10/23/2022 09:00 AM Taiwan


研究領域 (Field):
physics
研究子領域 (Sub-field):
condensed matter theory
其他關鍵字 (Supplementary keywords):
Condensed matter theory, topological superconductors, material searches, material design, quantum computation

Abstract:
超導體是一種有趣的量子材料,在低溫下可以無耗損地傳遞電流。也因為如此,超導體在應用端的潛力備受重視,在過去數十年來一直都是凝態物理研究的主流之一。在各種不同類型的超導體中,「拓樸超導體」 (topological superconductors) 近年來在學界及業界都引起廣泛且深入的研究。這是因為在低維度之下,這種超導體的邊緣存在著一種零維且零能量的「Majorana粒子」。特別的是當兩顆「Majorana粒子」互換位置時,整個量子態能夠留存互換過程歷史的信息,這種粒子也因此被認為能夠作為量子計算中的最小單位。然而,拓樸超導體最先是由理論預測的量子態,真正在實驗中被驗證擁有Majorana粒子的超導材料少之又少,且正確性眾說紛紜。在這個演講中,我會解釋如何結合數學原則及實際的材料理論來預測及設計擁有Majorana粒子的超導材料。

用神經影像預測經聚焦超音波底視丘切開術治療的帕金森氏病患之術後效果


Speaker:
林素堇 (Sue-Jin Lin), Postdoctoral Researcher, Montreal Neurological Institute, McGill University

Time:
10/15/2022 12:00 PM PDT
10/15/2022 01:00 PM MDT
10/15/2022 02:00 PM CDT
10/15/2022 03:00 PM EDT
10/15/2022 08:00 PM BST
10/15/2022 09:00 PM CEST
10/16/2022 03:00 AM Taiwan

研究領域 (Field):
Neuroscience
研究子領域 (Sub-field):
Neurology
其他關鍵字 (Supplementary keywords):
Neuroimaging, Precision Medicine, Clinical Cognitive Neuroscience

Abstract:
Subthalamotomy using transcranial magnetic resonance-guided focused ultrasound (tcMRgFUS) is a novel and promising treatment for Parkinson’s Disease (PD). In this study, we investigate if baseline brain imaging features can be early predictors of tcMRgFUS-subthalamotomy efficacy, as well as which are post-treatment brain changes associated with the clinical outcomes. Towards this aim, functional and structural neuroimaging and extensive clinical data from thirty-five PD patients enrolled in a double-blind tcMRgFUS-subthalamotomy clinical trial were analysanalyzeded.
      Multivariate cross-correlation analysis revealed that the baseline multi-modal imaging data significantly explain (P<0.005, FWE-corrected) the inter-individual variability in response to treatment. Most predictive features at baseline included neural fluctuations in distributed cortical regions and structural integrity in the putamen and parietal regions. Additionally, a similar multivariate analysis showed that the population variance in clinical improvements is significantly explained (P<0.001, FWE-corrected) by a distributed network of concurrent functional and structural brain changes in frontotemporal, parietal, occipital, and cerebellar regions, as opposed to local changes in very specific brain regions. Overall, our findings reveal specific quantitative brain signatures highly predictive of tcMRgFUS-subthalamotomy responsiveness in PD. The unanticipated weight of a cortical-subcortical-cerebellar subnetwork in defining clinical outcomes extends the current biological understanding of the mechanisms associated with clinical benefits.

JupyterHub 迷你工作坊:開放科學的雲端基地


Speaker:
鄭懷傑 (Whyjay Zheng),Postdoc, Department of Statistics,, University of California Berkeley

Time:
10/08/2022 06:00 PM PDT
10/08/2022 07:00 PM MDT
10/08/2022 08:00 PM CDT
10/08/2022 09:00 PM EDT
10/09/2022 02:00 AM BST
10/09/2022 03:00 AM CEST
10/09/2022 09:00 AM Taiwan


研究領域 (Field):
Earth science, data science
研究子領域 (Sub-field):
cryosphere science, remote sensing, geophysics, planetary science
其他關鍵字 (Supplementary keywords):
Jupyter, open science, science communication, research, education

Abstract:
科研活動因雲端技術的發展而有了新的實踐方式,全面性的開放科學也成為可能。本次的 Tyra 演講我將以迷你工作坊的形式討論如何以建基在雲端的工具 JupyterHub 實踐不同規模(個人、團隊、社群)與不同目的(研究、教育)的開放科學。 參加本演講不需任何背景知識以及程式設計的技巧,不過如果要在演講時同步存取 JupyterHub 資源,必須要先準備 Google 或是 Microsoft 的帳戶以進行第三方登入 (OAuth)。

西北太平洋海冰變化歷史重建與可能的控制因素

Title:
西北太平洋海冰變化歷史重建與可能的控制因素

Speaker:
羅立 (Li Lo),國立臺灣大學地質科學系

Time:
10/01/2022 08:00 PM PDT
10/01/2022 09:00 PM MDT
10/01/2022 10:00 PM CDT
10/01/2022 11:00 PM EDT
10/02/2022 04:00 AM BST
10/02/2022 05:00 AM CEST
10/02/2022 11:00 AM Taiwan


研究領域 (Field):
Paleoceanography
研究子領域 (Sub-field):
Paleoclimatology
其他關鍵字 (Supplementary keywords):
Marine Geology, Geochemistry, Micropaleontology

Abstract:
海冰的變化藉由大眾媒體的傳送成為環境變遷議題的主要視覺影像之一,但由於高緯度直接觀測不易,人類直到1980年代之後才有機會全天候的觀測海冰的變化,對於海冰作為氣候與生態系統的一部分,我們仍有許多未知之處。本次將分享我們在西北太平洋鄂霍次克海地區重建之過去13萬年來的海冰紀錄,我們發現太陽日照量與溫室氣體作為兩個主要控制的因子,主導了此區域的海冰變化歷史,希望透過古氣候古海洋學的手法,重建過去的歷史,讓我們更多理解地球氣候系統的機制以面對更具挑戰性的未來。

Thursday, September 8, 2022

九月份演講

   顏子昀Zih-Yun Yan, Ph.D. student, New York University


日常生活作息對風險偏好之影響

Speaker:
顏子昀Zih-Yun Yan, Ph.D. student, New York University

Time:
 09/17/2022 05:00 PM PDT
 09/17/2022 06:00 PM MDT
 09/17/2022 07:00 PM CDT
 09/17/2022 08:00 PM EDT
 09/18/2022 01:00 AM BST
 09/18/2022 02:00 AM CEST
 09/18/2022 08:00 AM Taiwan

Field:
psychology
Sub-field:
neuroeconomics

Abstract:
Environmental states affect our day-to-day emotions and decisions, including our choices under risk and uncertainty. Past studies have found that an unexpected positive outcome, such as a sunny day after a streak of cloudy days, can increase gambling behaviors. To extend these findings with the broader environmental events to more personal daily life activities at a shorter time scale, we performed longitudinal examinations of the correlation between various daily activities and the change of mood and decision of risk within the individual. Our aim is to identify how engagement in different activities could predict the temporal change in mood and risk preferences. In the talk, I will present data showing how the amount of a particular activity spent last week correlates with the risk attitude-related variables. Among all activities data we had gathered, our finding suggests that subjects have less negative emotion and become more risk-tolerant with more sleep time.