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Creating an Inclusive, Vibrant Learning Environment within a Large, Software Engineering program - Experiential Learning Experiences Created for Students, Faculty, and Senior Design Coaches & Sponsors

Creating an Inclusive, Vibrant Learning Environment within a...

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CoNECD 2021

作者： Bailey, Margaret B. Sharma, Naveen Verschage, Lana Conlon, Timothy T. Department of Mechanical Engineering Kate Gleason College of Engineering Rochester Institute of Technology Department of Software Engineering Golisano College of Computing and Information Sciences Rochester Institute of Technology Xerox Corporation Women in Computing Program Golisano College of Computing and Information Sciences Rochester Institute of Technology

Creating an Inclusive, Vibrant Learning Environment within a Large, Software Engineering program - Experiential Learning Experiences Created for Students, Faculty, and Senior Design Coaches & Sponsors This presentation describes several initiatives currently underway within a large software engineering (SE) department at a private university within the northeast US to positively affect levels of inclusiveness within the department's learning environment. Information gathered from faculty, staff, student interviews and focus group discussions, as well as a department goal to improve female freshmen retention in the SE major motivated the SE department chair, departmental academic advisors and faculty, and the college's women in computing director to launch this set of aligned activities in collaboration with the NSF ADVANCE funded program (NSF #1209115) at the university level. The resulting activities ideally enhance diversity and inclusion for students from all underrepresented groups in the program with a focus on groups based on gender. Four experiential learning experiences have been created and concurrently implemented within the SE department to promote an inclusive academic environment. These include: (1) faculty targeted discussions and summer readings, (2) an interactive workshop designed for all first year SE students, (3) a workshop created for the coaches and sponsors, most of who are not regular RIT employees, who directly mentor student teams for the two‐semester senior project course, and (4) the development of a resource flowchart which supports students, faculty, and staff in maintaining an inclusive learning environment within the department. The approach used in creating each is adaptive and the four resulting products are multi‐faceted in regards to target audience, modality of learning experience, and composition of creation team. Furthermore, we will discuss key metrics aligned with the department's goal to measure impacts resulting from these

关键词： Students

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women and Technology: Reversing the Trends of Attrition and Obtaining a Balance

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women's Studies 2008年第3期37卷 173-175页

作者： Leroy, Gondy gondy.leroy@cgu.edu Tolle, Kristin M. Perkins, Linda Assistant Professor School of Information Systems and Technology Claremont Graduate University Claremont California USA Program Manager for Biomedical Computing External Research @ Microsoft Research Redmond Washington USA University Associate Professor and Director of Applied Women''s Studies Claremont Graduate University Claremont California USA

The article discusses various reports published within the issue including one by Louise Soe and Elaine K. Yakura on women's attrition from technical fields of work, and another by Indira Guzman and Jeffrey M. Sta... 详细信息

关键词： women in technology EQUALITY in the workplace

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Exploring Diversity in Engineering and Technology for Knowledge and Innovation 1

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丛书名： Advanced Structured Materials

1000年

作者： Azman Ismail Fatin Nur Zulkipli Ahmad Fitriadhy Sayyid Zainal Abidin Syed Ahmad Andreas Öchsner

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CIS controls the functional polarization of GM-CSF-derived macrophages

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Cellular & Molecular Immunology 2023年第1期20卷 65-79页

作者： Shengbo Zhang Jai Rautela Naiara G.Bediaga Tatiana B.Kolesnik Yue You Junli Nie Laura F.Dagley Justin Bedo Hanqing Wang Li Sun Robyn Sutherland Elliot Surgenor Nadia Iannarella Rhys Allan Fernando Souza-Fonseca-Guimaraes Yi Xie Qike Wang Yuxia Zhang Yuekang Xu Stephen L.Nutt Andrew M.Lew Nicholas D.Huntington Sandra E.Nicholson Michaël Chopin Yifan Zhan Walter and Eliza Hall Institute of Medical Research ParkvilleVICAustralia Department of Medical Biology University of MelbourneParkvilleVICAustralia Department of Biochemistry and Molecular Biology Biomedicine Discovery InstituteMonash UniversityClaytonVICAustralia oNKo-Innate Pty Ltd Moonee PondsVICAustralia Department of Computing and Information Systems University of MelbourneParkvilleVICAustralia Department of Respiratory Medicine Guangzhou Institute of PediatricsGuangzhou Women and Children’s Medical CentreState Key Laboratory of Respiratory DiseasesGuangzhou Medical UniversityGuangzhouGuangdongChina College of Biological Science Anhui Normal UniversityHefeiChina University of Queensland Diamantina Institute University of QueenslandTranslational Research InstituteBrisbaneQLDAustralia Program in Cardiovascular and Metabolic Disorders Duke-NUS Medical SchoolDukeSingapore Drug Discovery Shanghai Huaota BiopharmShanghaiChina

The cytokine granulocyte-macrophage-colony stimulating factor (GM-CSF) possesses the capacity to differentiate monocytes into macrophages (MØs) with opposing functions, namely, proinflammatory M1-like MØs and immunosuppressive M2-like MØs. Despite the importance of these opposing biological outcomes, the intrinsic mechanism that regulates the functional polarization of MØs under GM-CSF signaling remains elusive. Here, we showed that GM-CSF-induced MØ polarization resulted in the expression of cytokine-inducible SH2-containing protein (CIS) and that CIS deficiency skewed the differentiation of monocytes toward immunosuppressive M2-like MØs. CIS deficiency resulted in hyperactivation of the JAK-STAT5 signaling pathway, consequently promoting downregulation of the transcription factor Interferon Regulatory Factor 8 (IRF8). Loss- and gain-of-function approaches highlighted IRF8 as a critical regulator of the M1-like polarization program. In vivo, CIS deficiency induced the differentiation of M2-like macrophages, which promoted strong Th2 immune responses characterized by the development of severe experimental asthma. Collectively, our results reveal a CIS-modulated mechanism that clarifies the opposing actions of GM-CSF in MØ differentiation and uncovers the role of GM-CSF in controlling allergic inflammation.

关键词： CIS GM-CSF Macrophage M2 M1

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Real-time organ motion tracking and fast image registration system for MRI-guided surgery

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Systems and Computers in Japan 2006年第1期37卷 83-92页

作者： Tokuda, Junichi Hirano, Masaya Tsukamoto, Tetsuji Dohi, Takeyoshi Hata, Nobuhiko Graduate School of Information Science and Technology University of Tokyo Tokyo 113-8656 Japan GE Yokogawa Medical Systems Ltd. Hino 191-8503 Japan International Society for Computer-Aided Surgery Japan Society for Computer-Aided Surgery Japan Society for Magnetic Resonance in Medicine GE Yokogawa Medical Systems Ltd. Imaging Application Tech. Center MR Group R and D Laboratory Technology Center GE Yokogawa Medical Systems Ltd. Society for Magnetic Resonance in Medicine Graduate School of Information Science and Technology Society for Life Support Technology Japan Society for Organ Preservation Biology and Medicine Society for Precision Engineering Society for Medical Image Computing and Computer Assisted Intervention International Union for Physics and Engineering Sciences in Medicine JSMEBE Japan Society for Life Assistance Technology Brigham and Women's Hospital Harvard Medical School MR Therapy Program

The advantage of magnetic resonance imaging (MRI)-guided surgery, in which MR images taken during surgery are used to guide the surgery, has been recognized recently. However, there is a problem, due to long imaging time of MRI, that it is difficult to capture the respiratory organ motion. It is often a constraint that the patient must hold his or her breath, especially in the treatment of the abdominal region. Consequently, this paper proposes a method of eliminating this constraint in MRI-guided surgery by real-time monitoring of the movement of the organ involved in the surgery by means of the signal derived from MRI. Specifically, the navigator echo is extracted in imaging during surgery. The movement of the organ involved in surgery is detected on the basis of the change in the calculated projection profile, and the results are presented to the surgeon. In this study, the procedure is built into a 1.5-T clinical MRI system. The feasibility of the proposed system was examined under clinical conditions by evaluating its accuracy and delay in a phantom experiment, and also in an in vivo experiment on the liver of a volunteer. The results are reported in this paper. © 2005 Wiley Periodicals, Inc.

关键词： Motion estimation

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Decreased incidence followed by comeback of pediatric infections during the COVID‑19 pandemic in Japan

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World Journal of Pediatrics 2022年第8期18卷 564-567页

作者： Cyrus Ghaznavi Haruka Sakamoto Takayuki Kawashima Sayaka Horiuchi Masahiro Ishikane Sarah Krull Abe Daisuke Yoneoka Akifumi Eguchi Yuta Tanoue Masahiro Hashizume Shuhei Nomura Department of Health Policy and Management School of MedicineKeio University35 ShinanomachiShinjuku-kuTokyo 160-8582Japan Medical Education Program Washington University School of Medicine in St.LouisSaint LouisUSA Department of Global Health Policy Graduate School of MedicineThe University of TokyoTokyoJapan Tokyo Foundation for Policy Research TokyoJapan Department of Hygiene and Public Health Tokyo Women’s Medical UniversityTokyoJapan Department of Mathematical and Computing Science Tokyo Institute of TechnologyTokyoJapan Center for Birth Cohort Studies University of YamanashiYamanashiJapan Disease Control and Prevention Center National Center for Global Health and MedicineTokyoJapan Division of Prevention National Cancer Center Institute for Cancer ControlTokyoJapan Infectious Disease Surveillance Center National Institute of Infectious DiseasesTokyoJapan Department of Sustainable Health Science Center for Preventive Medical SciencesChiba UniversityChibaJapan Institute for Business and Finance Waseda UniversityTokyoJapan

During the coronavirus disease 2019(COVID-19)pandemic,the Japanese government implemented several infection control measures,such as states of emergency(SoE)and school closures,and encouraged universal masking and hand *** activity restrictions and improved hygiene were found to be associated with declines in the incidence of infuenza during the 2019–2020 winter season[1].Prior studies have found that the incidence of seven pediatric infections,such as pharyngoconjunctivitis and varicella,decreased during and after the school closures in Japan[2].As activity restrictions continue to be lifted,there is growing concern that pediatric infections may suddenly return given that the pool of susceptible children increased during the pandemic[3].In this study,we use national infectious disease sentinel data from January 2012 to October 2021 to assess changes in the reported number of pediatric infections in Japan during the COVID-19 *** hypothesize that the reporting of many infectious diseases decreased during the early stages of the pandemic but ultimately returned to normal when activity restrictions were lifted.

关键词： closure return suddenly

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IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data

IDEA: Integrating Divisive and Ensemble-Agglomerate hierarch...

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IEEE International Conference on Big Data

作者： Hongryul Ahn Inuk Jung Heejoon Chae Minsik Oh Inyoung Kim Sun Kim Division of Data Science DS&ML Center The University of Suwon Hwaseong Republic of Korea School of Computer Science and Engineering Kyungpook National University Daegu Republic of Korea Division of Computer Science Sookmyung Women's University Seoul Republic of Korea BK21 Four Intelligence Computing Seoul National University Seoul Republic of Korea Artificial Intelligence Institute Seoul National University Seoul Republic of Korea Interdisciplinary Program in Bioinformatics and Bioinformatics Institute Seoul National University Seoul Republic of Korea

ISBN: (纸本)9781665445993

Hierarchical clustering, a traditional clustering method, has been getting attention again. Among several reasons, a credit goes to a recent paper by Dasgupta in 2016 that proposed a cost function that quantitatively evaluates hierarchical clustering trees. An important question is how to combine this recent advance with existing successful clustering methods. In this paper, we propose a hierarchical clustering method to minimize the cost function of clustering tree by incorporating existing clustering techniques. First, we developed an ensemble tree-search method that finds an integrated tree with reduced cost by integrating multiple existing hierarchical clustering methods. Second, to operate on large and arbitrary shape data, we designed an efficient hierarchical clustering framework, called integrating divisive and ensemble-agglomerate (IDEA) by combining it with advanced clustering techniques such as nearest neighbor graph construction, divisive-agglomerate hybridization, and dynamic cut tree. The IDEA clustering method showed better performance in minimizing Dasgupta's cost and improving accuracy (adjusted rand index) over existing cost-minimization-based, and density-based hierarchical clustering methods in experiments using arbitrary shape datasets and complex biology-domain datasets.

关键词： Costs Shape Clustering methods Conferences Big Data Cost function Minimization

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Clarifying Assumptions about Artificial Intelligence before Revolutionising Patent Law

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GRUR International 2022年第4期71卷 295-321页

作者： Kim, Daria Alber, Maximilian Kwok, Man Wai Mitrovic, Jelena Ramirez-Atencia, Cristian Perez, Jesus Alberto Rodriguez Zille, Heiner Max Planck Institute for Innovation and Competition Munich Germany Charite Institute of Pathology Berlin Germany Chinese University of Hong Kong Department of Physics (Formerly) Hong Kong BMBF Program for Women in AI Faculty of Computer Science and Mathematics Chair of Data Science University of Passau Germany Department of Computer Systems Universidad Politecnica de Madrid Spain School of Computing Science College of Science and Engineering University of Glasgow United Kingdom Faculty of Computer Science Otto von Guericke University Magdeburg Germany

This paper examines several widespread assumptions about artificial intelligence, particularly machine learning, that are often taken as factual premises in discussions on the future of patent law in the wake of 'artificial ingenuity'. The objective is to draw a more realistic and nuanced picture of the human-computer interaction in solving technical problems than where 'intelligent' systems autonomously yield inventions. A detailed technical perspective is presented for each assumption, followed by a discussion of pertinent uncertainties for patent law. Overall, it is argued that implications of machine learning for the patent system in its core tenets appear far less revolutionary than is often posited. © 2022 Published by OUP and CH Beck on behalf of GRUR e.V.

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An Online Treatment Decision Aid for Men with Low-risk Prostate Cancer Eligible for Active Surveillance and Their Partners Increases the Uptake of Active Surveillance: The Navigate Randomised Controlled Trial

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European urology oncology 2025年

作者： Penelope Schofield Stephen Quinn Natalie Richards Alan White Fiona White Mark Frydenberg Suzanne Chambers Louisa G Gordon Robert Alexander 'Frank' Gardiner Declan G Murphy Matthew J Roberts John Yaxley Nathan Lawrentschuk Kevin Chu Jeremy Millar Jeremy Grummet Ilona Juraskova School of Computing Engineering and Mathematical Sciences La Trobe University Melbourne Victoria Australia Sir Peter MacCallum Department of Oncology The University of Melbourne Parkville Victoria Australia Department of Psychological Sciences Swinburne University of Technology Melbourne Victoria Australia. Electronic address: p.schofield@latrobe.edu.au. Department of Health Science and Biostatistics Swinburne University of Technology Melbourne Victoria Australia. Department of Health Sciences Research Peter MacCallum Cancer Centre Melbourne Victoria Australia. Department of Urology Cabrini Institute Cabrini Health Melbourne Victoria Australia Department of Surgery Monash University Melbourne Victoria Australia. Faculty of Health Sciences Australian Catholic University Brisbane Queensland Australia Health and Wellness Institute Edith Cowan University Perth Australia Menzies Health Institute Queensland Griffith University Southport Australia. Population Health Program Health Economics QIMR Berghofer Medical Research Institute Brisbane Queensland Australia School of Nursing Queensland University of Technology (QUT) Brisbane Queensland Australia School of Public Health The University of Queensland Brisbane Queensland Australia. The University of Queensland Brisbane Queensland Australia The University of Queensland Centre for Clinical Research Brisbane Queensland Australia The Royal Brisbane & Women's Hospital Herston Queensland Australia Edith Cowan University Perth Western Australia Griffith University Queensland Australia. Division of Cancer Surgery Peter MacCallum Cancer Centre Melbourne Victoria Australia. Department of Urology Royal Brisbane and Women's Hospital Herston Queensland Australia Department of Urology Redcliffe Hospital Redcliffe Queensland Australia. The University of Queensland Brisbane Queensland Australia. Department of Surgery The University of Melbourne Melbourne Victoria Australia Department of Urology The Ro

BACKGROUND AND OBJECTIVE:Evidence suggests that curative treatment for low-risk prostate cancer (LRPC) has no survival benefits over active surveillance (AS); thus, treatment choice becomes a value-sensitive decision. Decision aids (DAs) have the potential to facilitate this process, yet no DA has been tailored to the Australian health care system or population. This study aims to evaluate the impact of an online DA (Navigate) on the uptake of AS, quality of life, and decision-making in Australia. METHODS:This parallel-group, prospective, randomised controlled trial recruited men (from May 2017 to May 2021) from participating cancer centres, via self-referral, or via clinician referral. The inclusion criteria were the following: a recent LRPC diagnosis, no decision on treatment, and clinical suitability for AS. Partners could also enrol. Assessments were undertaken at baseline (before decision) and after baseline (1, 2, and 6 mo). Participants were randomised 1:1 to Navigate (online DA, intervention) or a national prostate cancer website (usual care), stratified by the site/recruitment method. Partners were allocated to the group matching their respective partners. The primary outcome was self-reported uptake of AS for first-line treatment at 1 mo. The secondary outcomes included decision-making preparedness; decisional conflict, regret, and satisfaction; illness communication; and prostate cancer-specific quality of life. Intention-to-treat analyses were conducted. KEY FINDINGS AND LIMITATIONS:Of the 619 patients referred, those eligible (n = 302) were randomised to either Navigate (n = 153) or usual care (n = 149), with no significant between-group differences at baseline. The proportion of men self-reporting AS versus another treatment was 90.6% (Navigate) versus 79.0% (usual care; p = 0.008). Navigate participants also reported greater decision-making preparedness (p < 0.001). Partners were allocated to Navigate (n = 70) or usual care (n = 49); no significant be

关键词： Active surveillance Decision support techniques Domestic partners Internet-based intervention Prostate cancer Randomised controlled trial

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Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer

arXiv

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arXiv 2024年

作者： Saukkoriipi, Mikko Sahlsten, Jaakko Jaskari, Joel Orsmaa, Lotta Kangas, Jari Rasouli, Nastaran Raisamo, Roope Hirvonen, Jussi Mehtonen, Helena Järnstedt, Jorma Mäkitie, Antti Naser, Mohamed Fuller, Clifton Kann, Benjamin Kaski, Kimmo Department of Computer Science Aalto University School of Science Espoo Finland Faculty of Information Technology and Communication Sciences Computing Sciences University of Tampere Tampere Finland Department of Radiology Tampere University Faculty of Medicine and Health Technology Tampere University Hospital Tampere Finland Department of Otorhinolaryngology-Head and Neck Surgery Research Program in Systems Oncology Faculty of Medicine University of Helsinki Helsinki University Hospital Helsinki Finland Department of Radiation Oncology The University of Texas MD Anderson Cancer Center HoustonTX United States Artificial Intelligence in Medicine Program Mass General Brigham Harvard Medical School BostonMA United States Department of Radiation Oncology Dana-Farber Cancer Institute Brigham and Women's Hospital Harvard Medical School BostonMA United States The Alan Turing Institute British Library 96 Euston Rd LondonNW1 2DB United Kingdom

The main treatment modality for oropharyngeal cancer (OPC) is radiotherapy, where accurate segmentation of the primary gross tumor volume (GTVp) is essential. However, accurate GTVp segmentation is challenging due to significant interobserver variability and the time-consuming nature of manual annotation, while fully automated methods can occasionally fail. An interactive deep learning (DL) model offers the advantage of automatic high-performance segmentation with the flexibility for user correction when necessary. In this study, we examine interactive DL for GTVp segmentation in OPC. We implement state-of-the-art algorithms and propose a novel two-stage Interactive Click Refinement (2S-ICR) framework. Using the 2021 HEad and neCK TumOR (HECKTOR) dataset for development and an external dataset from The University of Texas MD Anderson Cancer Center for evaluation, the 2S-ICR framework achieves a Dice similarity coefficient of 0.713 ± 0.152 without user interaction and 0.824 ± 0.099 after five interactions, outperforming existing methods in both cases. Copyright © 2024, The Authors. All rights reserved.

关键词： Deep learning

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