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A reflection on diversity and inclusivity efforts in a software engineering program 48

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A reflection on diversity and inclusivity efforts in a softw...

48th Frontiers in Education Conference, FIE 2018

作者： Janzen, David S. Bahrami, Sara Silva, Bruno C. Da Falessi, Davide Department of Computer Science and Software Engineering California Polytechnic State University 1 Grand Avenue San Luis ObispoCA93407 United States

ISBN: (纸本)9781538611739

This Innovative Practice Full Paper is an experience report that presents a collection of initiatives, circumstances, and teaching practices that coincide with improvements in gender diversity in the undergraduate software engineering program at california polytechnic state university at San Luis Obispo. The percent of females in the software engineering capstone increased from an average of 3.81% in the first five years of the program (2003-2007) to 18.82% in the most recent four years (2014-2017). Multiple initiatives were instituted beginning in 2009 to improve a gender imbalance, addressing recruitment and retention of women. One key initiative was the creation of a new introductory course with multiple themes (e.g. art, mobile, music, robotics) from which incoming students could choose. These courses were designed to include significant collaboration, rapid application development in interesting domains, and strategic selection of tools and languages that reduced the advantages of previous student programming experience. Additional initiatives included club activities, sending large numbers of female students to the Grace Hopper Celebration of Women in Computing Conference, K-12 outreach, and a vibrant and mature SE capstone experience. Also during this timeframe, course scheduling changes were imposed which naturally created informal cohorts of software engineering students earlier than in previous years. Student self-evaluations collected in the SE capstone were analyzed, comparing male and female responses, as well as teams with different gender mixes. This analysis indicates no significant difference between male and female enjoyment of the capstone projects overall, and no significant difference between team enjoyment regardless of the percentage of females on the team. © 2018 IEEE.

关键词： Students

Foundation models and intelligent decision-making: Progress, challenges, and perspectives

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The Innovation 2025年第6期6卷

作者： Jincai Huang Yongjun Xu Qi Wang Qi (Cheems) Wang Xingxing Liang Fei Wang Zhao Zhang Wei Wei Boxuan Zhang Libo Huang Jingru Chang Liantao Ma Ting Ma Yuxuan Liang Jie Zhang Jian Guo Xuhui Jiang Xinxin Fan Zhulin An Tingting Li Aiguo Fei Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China National Engineering Research Center for Software Engineering Peking University Beijing 100871 China College of Systems Engineering National University of Defense Technology Changsha 410073 China Department of Oral Implantology Peking University School and Hospital of Stomatology Beijing 100081 China Laboratory for Big Data and Decision National University of Defense Technology Changsha 410073 China School of Automation Beijing Institute of Technology Beijing 100081 China Huazhong University of Science and Technology Wuhan 430074 China University of Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of AI Safety Beijing 100190 China Department of Automation Tsinghua University Beijing 100084 China School of Information Science and Engineering Dalian Polytechnic University Dalian 116034 China The Hong Kong University of Science and Technology (Guangzhou) Guangzhou 511453 China College of Information and Electrical Engineering China Agricultural University Beijing 100083 China State Key Laboratory of Efficient Utilization of Agricultural Water Resources Beijing 100083 China IDEA Research International Digital Economy Academy Shenzhen 518057 China School of Computer Science National Pilot Software Engineering School Beijing University of Posts and Telecommunications Beijing 100876 China

Intelligent decision-making (IDM) is a cornerstone of artificial intelligence (AI) designed to automate or augment decision processes. Modern IDM paradigms integrate advanced frameworks to enable intelligent agents to make effective and adaptive choices and decompose complex tasks into manageable steps, such as AI agents and high-level reinforcement learning. Recent advances in multimodal foundation-based approaches unify diverse input modalities—such as vision, language, and sensory data—into a cohesive decision-making process. Foundation models (FMs) have become pivotal in science and industry, transforming decision-making and research capabilities. Their large-scale, multimodal data-processing abilities foster adaptability and interdisciplinary breakthroughs across fields such as healthcare, life sciences, and education. This survey examines IDM’s evolution, advanced paradigms with FMs and their transformative impact on decision-making across diverse scientific and industrial domains, highlighting the challenges and opportunities in building efficient, adaptive, and ethical decision systems.

关键词： artificial intelligence intelligent decision-making foundation models agent large language model

Nonreciprocal transport in a bilayer of MnBi2Te4 and Pt

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arXiv 2022年

作者： Ye, Chen Xie, Xiangnan Lv, Wenxing Huang, Ke Yang, Allen Jian Jiang, Sicong Liu, Xue Zhu, Dapeng Qiu, Xuepeng Tong, Mingyu Zhou, Tong Hsu, Chuang-Han Chang, Guoqing Lin, Hsin Li, Peisen Yang, Kesong Wang, Zhenyu Jiang, Tian Wang, Xiao Renshaw Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link 637371 Singapore State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China Physics Laboratory Industrial Training Center Shenzhen Polytechnic Guangdong Shenzhen518055 China Department of NanoEngineering Program of Chemical Engineering University of California La Jolla San DiegoCA92093-0448 United States Program of Materials Science and Engineering University of California La Jolla San DiegoCA92093-0418 United States Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Fert Beijing Institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and Engineering Beihang University Beijing100191 China Beihang-Goertek Joint Microelectronics Institute Qingdao Research Institute Beihang University Qingdao266000 China Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology School of Physics Science and Engineering Tongji University Shanghai200092 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China Insitute of Physics Academia Sinica Taipei115229 Taiwan College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China National Innovation Institute of Defense Technology Academy of Military Sciences PLA China Beijing100010 China Beijing Academy of Quantum Information Sciences Beijing100084 China Beijing Institute for Advanced Study National University of Defense Technology Changsha410073 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Ave 639798 Singapore

MnBi2Te4 (MBT) is the first intrinsic magnetic topological insulator with the interaction of spin-momentum locked surface electrons and intrinsic magnetism, and it exhibits novel magnetic and topological phenomena. Recent studies suggested that the interaction of electrons and magnetism can be affected by the Mn-doped Bi2Te3 phase at the surface due to inevitable structural defects. Here we report an observation of nonreciprocal transport, i.e. current-direction-dependent resistance, in a bilayer composed of antiferromagnetic MBT and nonmagnetic Pt. The emergence of the nonreciprocal response below the Néel temperature confirms a correlation between nonreciprocity and intrinsic magnetism in the surface state of MBT. The angular dependence of the nonreciprocal transport indicates that nonreciprocal response originates from the asymmetry scattering of electrons at the surface of MBT mediated by magnon. Our work provides an insight into nonreciprocity arising from the correlation between magnetism and Dirac surface electrons in intrinsic magnetic topological insulators. © 2022, CC BY.

关键词： Magnetism

Minimizing the maximum distance traveled to form patterns with systems of mobile robots

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arXiv 2020年

作者： Coleman, Jared Kranakis, Evangelos Morales-Ponce, Oscar Opatrny, Jaroslav Urrutia, Jorge Vogtenhuber, Birgit California State University Long Beach United States Carleton University School of Computer Science OttawaONK1S 5B6 Canada California State University Long Beach United States Concordia University Department Computer Science and Engineering MontréalQCH3G 1M8 Canada Instituto de Matematicas UNAM Mexico City Mexico Institute of Software Technology University of Technology Graz Austria

In the pattern formation problem, robots in a system must self-coordinate to form a given pattern, regardless of translation, rotation, uniform-scaling, and/or reflection. In other words, a valid final configuration of the system is a formation that is similar to the desired pattern. While there has been no shortage of research in the pattern formation problem under a variety of assumptions, models, and contexts, we consider the additional constraint that the maximum distance traveled among all robots in the system is minimum. Existing work in pattern formation and closely related problems are typically application-specific or not concerned with optimality (but rather feasibility). We show the necessary conditions any optimal solution must satisfy and present a solution for systems of three robots. Our work also led to an interesting result that has applications beyond pattern formation. Namely, a metric for comparing two triangles where a distance of 0 indicates the triangles are similar, and 1 indicates they are fully dissimilar. Copyright © 2020, The Authors. All rights reserved.

关键词： Robots

Photo tagging tool for rapid and detailed post-earthquake structural damage identification 11

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Photo tagging tool for rapid and detailed post-earthquake st...

11th National Conference on Earthquake engineering 2018: Integrating science, engineering, and Policy, NCEE 2018

作者： Behrouzi, A. Pantoja, M. Dept. of Architectural Engineering California Polytechnic State University San Luis ObispoCA93407 United States Dept. of Computer Science and Software Engineering California Polytechnic State University San Luis ObispoCA93407 United States

ISBN: (纸本)9781510873254

A significant task in earthquake reconnaissance is to conduct rapid and accurate assessments of damage to built infrastructure. This can be accomplished, in part, by analyzing the large volumes of high-resolution image data collected after a seismic event. However, detailed image tagging remains a task for trained human volunteers, which is both time-intensive and error prone. The authors developed a software tool to simplify and standardize the process of assigning damage and structure pairs to sub-regions of images. The goal of the tool is to facilitate the tagging of thousands of images from historic and recent earthquakes to train a deep learning (DL) algorithm to automatically identify damage observed in civil infrastructure. DL is a subset of machine learning that can be used for image classification problems. This process requires thousands of expertly tagged images for robust and automatic visual recognition capabilities. In detecting specific structural damage after an earthquake, images must have explicit tags for the building material, damage and location, as well as the impacted structural members. To obtain such a descriptive set of images, there is a need for a task-specific tool that facilitated tagging of the most common post-earthquake structural damage types. The resulting software solution consists of a simple user interface that displays the most frequently used damage and structural member tags as pre-loaded radio buttons and includes the flexibility for users to customize tags when necessary. The program generates marked-up images that show location-specific damage and structural member labels, as well as output files in the PASCAL Visual Object Classes (VOC) format that are compatible with TensorFlow and most DL frameworks, such that tagged images are ready to be used for training a DL algorithm. © 2018 11th National Conference on Earthquake engineering 2018, NCEE 2018: Integrating science, engineering, and Policy. All rights reserved.

关键词： Earthquakes

Guardians of the Mitochondria: Space Mitochondria 2.0 Systemic Analysis Reveals Bioenergetic Dysregulation Across Species

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SSRN

SSRN 2025年

作者： Guarnieri, Joseph W. Maghsoudi, Zeynab Kim, JangKeun Bya, Phi Widjaja, Gabrielle A. Barker, Richard Burke, Marissa Cen, Zimu Fazelinia, Hossein Tsoy, Sergey Tiersky, Rachel Peczak, Anna Kim, Jihan Kim, Ye-Ah Haltom, Jeffrey Almeida, Michael Garris, Alex Day, Sarah Sanchez-Hodge, Rebekah Zilberman, Aleeza H. Allen, Noah G. Kubik, Angela J. Blaber, Elizabeth A. Mathyk, Begum Harris, Frederick C. Singh, Kanhaiya Sen, Chandan K. Innes, Lucinda Ali, Nilufar Berliner, Aaron J. Kar, Upendra K. Overbey, Eliah Giunta, Simona Podrabsky, Jason E. Neal, Matthew D. Billiar, Timothy R. Headley, Colwyn Meydan, Cem Tasoula, Alexia Szewczyk, Nathaniel Ikeda, Yasutaka Gotoh-Katoh, Aina Schisler, Jonathan C. Kim, Man S. Schwartz, Robert E. Wallace, Douglas C. Mason, Christopher E. Nguyen, Tin Beheshti, Afshin Children’s Hospital of Philadelphia PhiladelphiaPA United States Computer Science and Engineering University of Nevada Reno RenoNV United States Department of Physiology and Biophysics and WorldQuant Initiative for Quantitative Prediction Weill Cornell Medicine New YorkNY United States Computer Science and Software Engineering University of Auburn AL United States Purdue University Department of Agricultural and Biological engineering IN United States Department of Neurosurgery Houston Methodist Research Institute HoustonTX United States Department of Medicine Division of Gastroenterology and Hepatology Weill Cornell Medicine New YorkNY United States Kyung Hee University Hospital at Gangdong Kyung Hee University Seoul Korea Republic of McAllister Heart Institute Department of Pharmacology The University of North Carolina at Chapel Hill Chapel HillNC United States Shirley Ann Jackson Ph.D. Center for Biotechnology and Interdisciplinary Studies Department of Biomedical Engineering Rensselaer Polytechnic Institute TroyNY United States Division of Reproductive Endocrinology and Infertility Department of Obstetrics and Gynecology University of South Florida Morsani College of Medicine TampaFL United States Center for Space Biomedicine McGowan Institute for Regenerative Medicine Department of Surgery University of Pittsburgh School of Medicine PittsburghPA United States Department of Biological Science Boise State University BoiseID United States Department of Radiation Oncology Weill Cornell Medicine New YorkNY United States BerkeleyCA United States University of Pittsburgh School of Medicine PittsburghPA United States The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine Weill Cornell Medicine New YorkNY United States BioAstra Inc New YorkNY United States Center for STEM University of Austin AustinTX78701 United States Laboratory of Genome Evolution Department of Biology and Biotechnology Charle

Spaceflight imposes unique stressors that disrupt mitochondrial function, vital for energy production and immune regulation. Our multi-omics analysis (proteomics, bisulfite sequencing, RNA-seq, and single-nuclei RNA/ATAC-seq) on astronauts, rodents, and model organisms (flies, worms, plants) revealed progressive impairment of mitochondrial oxidative phosphorylation (OXPHOS) during spaceflight, with delayed recovery post-return across species. In rodents, radiation ≥10.34 mGy activated persistent mitochondrial stress pathways across multiple organs except in the spleen, with older and male C57BL/6 mice most affected. Astronaut data from the NASA Twins Study, JAXA, and Inspiration4 missions showed prolonged mitochondrial dysfunction, with OXPHOS suppression and TCA cycle inhibition lasting up to 82 days. Bisulfite sequencing confirmed lasting epigenetic changes in OXPHOS genes. Lastly, Kaempferol, an antioxidant and mitochondrial activator, mitigated radiation-induced liver atrophy in mice and preserved liver function in human organoids. This cross-species study underscores the need for targeted therapies to protect mitochondrial biogenesis during long-duration space missions. © 2025, The Authors. All rights reserved.

关键词： Mammals

OER: Six Perspectives on Global Misconceptions and Challenges

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OER: Six Perspectives on Global Misconceptions and Challenge...

2019 IEEE International Conference on engineering, Technology and Education, TALE 2019

作者： Towey, Dave Reisman, Sorel Chan, Henry Demartini, Claudio Tovar, Edmundo Margaria, Tiziana University of Nottingham Ningbo China School of Computer Science Ningbo China California State University Fullerton Department of Information Systems and Decision Sciences Fullerton United States Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong Politecnico di Torino Control Computer Engineering Department Turin Italy Universidad Politécnica de Madrid School of Computer Engineers Madrid Spain University of Limerick Department of Computer Science and Information Systems Limerick Ireland

ISBN: (纸本)9781728126654

Open Educational Resources (OERs) are freely accessible materials for teaching, learning, and research that have been made available such that they can be freely used, modified, and shared. Prompted by the potential positive impact that OERs can have, a growing community of OER enthusiasts has been advocating for their adoption in higher education, and elsewhere. The growing demand for computer science education and training (especially in areas related to artificial intelligence, machine learning, and big data) has led to speculation as to how OERs may be best leveraged to support such teaching and learning. The recent occasion of an international OER workshop at the 2019 IEEE Conference on computers, software and Applications (COMPSAC) allowed for six OER enthusiasts, all with extensive OER experience, to reflect on the status of OER adoption and understanding. These reflections, addressing misconceptions and challenges, form the basis for this paper. © 2019 IEEE.

关键词： Application programs

Millimeter wave massive MIMO downlink per-group communications with hybrid linear precoding

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arXiv 2019年

作者： Ketseoglou, T. Valenti, M.C. Ayanoglu, E. Electrical and Computer Engineering Department California State Polytechnic University Pomona United States Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown United States Electrical Engineering and Computer Science Department University of California Irvine United States

We address the problem of analyzing and classifying in groups the downlink channel environment in a millimeter-wavelength cell, accounting for path loss, multipath fading, and User Equipment (UE) blocking, by employing a hybrid propagation and multipath fading model, thus using accurate inter-group interference modeling. The base station (BS) employs a large Uniform Planar Array (UPA) to facilitate massive Multiple-Input, Multiple-Output (MIMO) communications with high efficiency. UEs are equipped with a single antenna and are distributed uniformly within the cell. The key problem is analyzing and defining groups toward precoding. Because balanced throughput is desired between groups, Combined Frequency and Spatial Division and Multiplexing (CFSDM) is found to be necessary. We show that by employing three or four subcarrier frequencies, depending on the number of UEs in the cell and the cell range, the UEs can be efficiently separated into high throughput groups, with each group employing Virtual Channel Model Beams (VCMB) based inner precoding, followed by efficient MultiUser Multiple-Input Multiple-Output (MU-MIMO) outer precoders. For each group, we study three different sub-grouping methods offering different advantages. We show that the improvement offered by Zero-Forcing Per-Group Precoding (ZF-PGP) over Zero-Forcing Precoding (ZFP) is very high. In addition, for medium-correlation channels, it is shown that ZF-PGP performance is near to the ideal one offered by a Virtual Additional Antenna Concept PGP (VAAC-PGP). Finally, a new technique for power allocation among different Per-Group Precoding within Groups (PGP-WG) groups is proposed, called Optimized Per-Group Power Allocation (OPGPA), which allows for high power efficiency with equal throughput among all UEs. Copyright © 2019, The Authors. All rights reserved.

关键词： Cells

Using evolutionary algorithms to design antennas with greater sensitivity to ultra-high energy neutrinos

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arXiv 2021年

作者： Rolla, Julie Machtay, A. Patton, A. Banzhaf, W. Connolly, A. Debolt, R. Deer, L. Fahimi, E. Ferstle, E. Kuzma, P. Pfendner, C. Sipe, B. Staats, K. Wissel, S.A. Dept. of Physics Center for Cosmology and AstroParticle Physics The Ohio State University ColumbusOH43210 United States Jet Propulsion Laboratory NASA PasadenaCA91109 United States Dept. of Computer Science and Engineering Michigan State University East LansingMI48824 United States Dept. of Physics and Astronomy Denison University GranvilleOH43023 United States University of Arizona Biosphere 2 S Biosphere Rd OracleAZ85623 United States Physics Dept. California Polytechnic State University San Luis ObispoCA93407 United States Dept. of Physics Dept. of Astronomy and Astrophysics Pennsylvania State University State CollegePA16802 United States

The Genetically Evolved NEutrino Telescopes for Improved Sensitivity (GENETIS) project seeks to optimize detectors in physics for science outcomes in high-dimensional parameter spaces. In this project, we designed an antenna using a genetic algorithm with a science outcome directly as the sole figure of merit. This paper presents initial results on the improvement of an antenna design for in-ice neutrino detectors using the current Askaryan Radio Array (ARA) experiment as a baseline. By optimizing for the effective volume using the evolved antenna design in ARA, we improve upon ARA's simulated sensitivity to ultra-high energy neutrinos by 22%, despite using limited parameters in this initial investigation. Future improvements will continue to increase the computational efficiency of the genetic algorithm and the complexity and fitness of the antenna designs. This work lays the foundation for continued research and development of methods to increase the sensitivity of detectors in physics and other fields in parameter spaces of high dimensionality. Copyright © 2021, The Authors. All rights reserved.

关键词： Genetic algorithms