Reviewerly/exHarmony huggingface dataset:
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

Authors:
raw_author_name: Yun Peng
raw_affiliation_string: The Chinese University of Hong Kong, Shatin, Hong Kong
raw_author_name: Shuzheng Gao
raw_affiliation_string: The Chinese University of Hong Kong, Shatin, Hong Kong
raw_author_name: Cuiyun Gao
raw_affiliation_string: Harbin Institute of Technology, Shenzhen, China
raw_author_name: Yintong Huo
raw_affiliation_string: The Chinese University of Hong Kong, Shatin, Hong Kong
raw_author_name: Michael Lyu
raw_affiliation_string: The Chinese University of Hong Kong, Shatin, Hong Kong

Abstract: As a dynamic programming language, Python has become increasingly popular in recent years. Although the dynamic type system of Python facilitates the developers in writing Python programs, it also brings type errors at run-time which are prevalent yet not easy to fix. There exist rule-based approaches for automatically repairing Python type errors. The approaches can generate accurate patches for the type errors covered by manually defined templates, but they require domain experts to design patch synthesis rules and suffer from low template coverage of real-world type errors. Learning-based approaches alleviate the manual efforts in designing patch synthesis rules and have become prevalent due to the recent advances in deep learning. Among the learning-based approaches, the prompt-based approach which leverages the knowledge base of code pre-trained models via pre-defined prompts, obtains state-of-the-art performance in general program repair tasks. However, such prompts are manually defined and do not involve any specific clues for repairing Python type errors, resulting in limited effectiveness. How to automatically improve prompts with the domain knowledge for type error repair is challenging yet under-explored.
Application of a novel metaheuristic algorithm inspired by stadium spectators in global optimization problems

Authors:
raw_author_name: Mehrdad Nemati
raw_affiliation_string: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
raw_author_name: Yousef Zandi
raw_affiliation_string: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Abstract: Abstract This paper presents a novel metaheuristic algorithm inspired by the actions of stadium spectators affecting behavior of players during a match which will be called stadium spectators optimizer (SSO) algorithm. The mathematical model of the SSO algorithm is presented and the performance and efficiency of the presented method is tested on some of the well-known mathematical test functions and also CEC-BC-2017 functions. The SSO algorithm is a parameter-free optimization method since it doesn't require any additional parameter setup at any point throughout the optimization process. It seems urgently necessary to design a novel metaheuristic algorithm that is parameter-free and capable of solving any optimization problem without taking into account extra parameters, as the majority of metaheuristic algorithms rely on the configuration of extra parameters to solve different problems efficiently. A positive point for the SSO algorithm can be seen in the results of the suggested technique, which indicate a partial improvement in performance. The results are compared with those of golf optimization algorithm (GOA), Tiki taka optimization algorithm (TTA), Harris Hawks optimization algorithm (HHO), the arithmetic optimization algorithm (AOA), CMA-ES and EBOwithCMAR algorithms. The statistical tests are carried out for the obtained results and the tests reveal the capability of the presented method in solving different optimization problems with different dimensions. SSO algorithm performs comparably and robustly with the state-of-the-art optimization techniques in 14 of the mathematical test functions. For CEC-BC-2017 functions with ten dimensions, EBOwithCMAR performs better than the proposed method. However, for most functions of CEC-BC-2017 with ten dimensions, the SSO algorithm ranks second after EBOwithCMAR, which is an advantage of the SSO since the proposed method performs better than the well-known CMA-ES optimization algorithm. The overall performance of the SSO algorithm in CEC-BC-2017 functions with 10 dimensions was acceptable, in dimension of 30, 50 and 100, the performance of the proposed method in some functions decreased.
Promoting collaborative learning in architectural engineering design through multi-user augmented reality

Authors:
raw_author_name: Shichao Liu
raw_affiliation_string: Worcester Polytechnic Institute.
raw_author_name: Yichen Li
raw_affiliation_string: Worcester Polytechnic Institute.

Abstract: As a highly interdisciplinary industry, architecture, engineering, and construction (AEC) require effective and seamless collaboration to deliver projects timely and with high quality.To better prepare students with the demanding cooperative skill, collaborative learning has always been an integral part of the education of undergraduate students.Augmented reality (AR) technology has matured rapidly in recent years and has been widely used in various fields such as medical, manufacturing, entertainment, and education.The seamless combination of the real world and virtual environment is one of the most important characteristics of AR technology [1].In this study, we utilized this characteristic to develop a multi-user design application in Microsoft HoloLens.The AR application enables students to participate in the collaborative architectural design by manipulating architectural objects in virtual environment as well as directly communicating with teammates in physical environment.The objective of the research is to enhance collaborative learning in architectural engineering design through multi-user AR.In order to test the feasibility of integrating the AR application into the traditional collaborative design process, we deployed an AR module based on the AR application into two architectural design studio courses including 19 participants as a preliminary case study.This paper reports the effectiveness of the AR module on students' active participation and engagement in collaboration, skills and knowledge gains, and the comfort level of collaborative design in AR.In addition, students' communication behaviors during collaborative design have been assessed by analyzing recorded videos of users' view in AR.
Lessons learned: faculty watch parties are a powerful approach to foster diversity and inclusivity discussions

Authors:
raw_author_name: Malini Natarajarathinam
raw_affiliation_string: A&M University in the Multidisciplinary Engineering Department focusing on Engineering Education research.; Institute of Engineering Education & Innovation and Professor of Computer Science & Engineering. Hammond; Texas A&M University.
raw_author_name: Samantha Ray
raw_affiliation_string: A&M University in the Multidisciplinary Engineering Department focusing on Engineering Education research.; Institute of Engineering Education & Innovation and Professor of Computer Science & Engineering. Hammond; Texas A&M University.
raw_author_name: Larry Powell
raw_affiliation_string: A&M University in the Multidisciplinary Engineering Department focusing on Engineering Education research.; Institute of Engineering Education & Innovation and Professor of Computer Science & Engineering. Hammond; Texas A&M University.
raw_author_name: Tracy Hammond
raw_affiliation_string: A&M University in the Multidisciplinary Engineering Department focusing on Engineering Education research.; Institute of Engineering Education & Innovation and Professor of Computer Science & Engineering. Hammond; Texas A&M University.
raw_author_name: Shawna Thomas
raw_affiliation_string: A&M University in the Multidisciplinary Engineering Department focusing on Engineering Education research.; Institute of Engineering Education & Innovation and Professor of Computer Science & Engineering. Hammond; Texas A&M University.
raw_author_name: John Moore
raw_affiliation_string: A&M University in the Multidisciplinary Engineering Department focusing on Engineering Education research.; Institute of Engineering Education & Innovation and Professor of Computer Science & Engineering. Hammond; Texas A&M University.

Abstract: Her research focuses on human-centered AI, developing systems that understand human behavior.She has worked on projects in human activity recognition to recognize activities of daily living (ADLs), intelligent tutoring systems to teach perspective sketching, and cognition-aware computing to measure people's mental workload on spatial visualization tasks.
Digital transformation in engineering education: a gap between teaching and management

Authors:
raw_author_name: Maria Truyol
raw_affiliation_string: Universidad Andres Bello; Universidade de Sao Paulo, Brazil.

Abstract: Techonology and System profesional, with extensive
Supplementary Figure S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

Authors:
raw_author_name: Tuong L. Nguyen
raw_author_name: Daniel F. Schmidt
raw_author_name: Enes Makalic
raw_author_name: Osamah M. Al-Qershi
raw_author_name: Jennifer Stone
raw_author_name: Melissa C. Southey
raw_author_name: John L. Hopper
raw_author_name: Shuai Li

Abstract: &lt;p&gt;Supplementary Figure S1 shows that the best-fit piecewise linear model was found when the turning point was selected at the age of 46; the AIC was 2.00-8.81 units smaller than the AICs of the models when the turning point was selected at other ages. It also shows that the best-fit piecewise linear model was found when the turning point was selected at the age of 65; the AIC was 1.55-5.58 units smaller than the AICs of the models when the turning point was selected at other ages.&lt;/p&gt;
Supplementary Methods S1 from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

Authors:
raw_author_name: Tuong L. Nguyen
raw_author_name: Daniel F. Schmidt
raw_author_name: Enes Makalic
raw_author_name: Osamah M. Al-Qershi
raw_author_name: Jennifer Stone
raw_author_name: Melissa C. Southey
raw_author_name: John L. Hopper
raw_author_name: Shuai Li

Abstract: &lt;p&gt;Supplementary Methods S1 describes the five models that were used for fitting the age-related trend of total variance and familial correlations in Cirrus&lt;/p&gt;
Data from Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures

Authors:
raw_author_name: Tuong L. Nguyen
raw_author_name: Daniel F. Schmidt
raw_author_name: Enes Makalic
raw_author_name: Osamah M. Al-Qershi
raw_author_name: Jennifer Stone
raw_author_name: Melissa C. Southey
raw_author_name: John L. Hopper
raw_author_name: Shuai Li

Abstract: &lt;div&gt;AbstractBackground:&lt;p&gt;Cirrus is an automated risk predictor for breast cancer that comprises texture-based mammographic features and is mostly independent of mammographic density. We investigated genetic and environmental variance of variation in Cirrus.&lt;/p&gt;Methods:&lt;p&gt;We measured Cirrus for 3,195 breast cancer–free participants, including 527 pairs of monozygotic (MZ) twins, 271 pairs of dizygotic (DZ) twins, and 1,599 siblings of twins. Multivariate normal models were used to estimate the variance and familial correlations of age-adjusted Cirrus as a function of age. The classic twin model was expanded to allow the shared environment effects to differ by zygosity. The SNP-based heritability was estimated for a subset of 2,356 participants.&lt;/p&gt;Results:&lt;p&gt;There was no evidence that the variance or familial correlations depended on age. The familial correlations were 0.52 (SE, 0.03) for MZ pairs and 0.16(SE, 0.03) for DZ and non-twin sister pairs combined. Shared environmental factors specific to MZ pairs accounted for 20% of the variance. Additive genetic factors accounted for 32% (SE = 5%) of the variance, consistent with the SNP-based heritability of 36% (SE = 16%).&lt;/p&gt;Conclusion:&lt;p&gt;Cirrus is substantially familial due to genetic factors and an influence of shared environmental factors that was evident for MZ twin pairs only. The latter could be due to nongenetic factors operating in utero or in early life that are shared by MZ twins.&lt;/p&gt;Impact:&lt;p&gt;Early-life factors, shared more by MZ pairs than DZ/non-twin sister pairs, could play a role in the variation in Cirrus, consistent with early life being recognized as a critical window of vulnerability to breast carcinogens.&lt;/p&gt;&lt;/div&gt;
Predicting Student Retention via Expectancy Value Theory Using Data Gathered before the Semester Begins

Authors:
raw_author_name: Pamela Thomas
raw_affiliation_string: Department of Engineering Fundamentals at the University of Louisville's Speed School of Engineering. She studies engineering; Piemonte Dourado, University of Louisville; University of Louisville.
raw_author_name: Campbell Bego
raw_affiliation_string: Department of Engineering Fundamentals at the University of Louisville's Speed School of Engineering. She studies engineering; Piemonte Dourado, University of Louisville; University of Louisville.
raw_author_name: Arinan Dourado
raw_affiliation_string: Department of Engineering Fundamentals at the University of Louisville's Speed School of Engineering. She studies engineering; Piemonte Dourado, University of Louisville; University of Louisville.

Abstract: Prior to joining UofL, he worked as a Lecturer in his home country (Brazil) for three years, teaching and mentoring low-income, first-generation STEM students from rural communities.Additionally, Dr. Dourado worked as an instructor at the University of Central Florida for two years, primarily serving Hispanic first-generation
Board 166: Experiences from ImageSTEAM Workshop for the Middle School (Work In Progress)

Authors:
raw_author_name: John Mativo
raw_affiliation_string: Aeronautics & Astronautics from Purdue University, West Lafayette in 1989. In 2004,; University of Georgia
raw_author_name: Ramana Pidaparti
raw_affiliation_string: Aeronautics & Astronautics from Purdue University, West Lafayette in 1989. In 2004,; University of Georgia

Abstract: The rise of computing and artificial intelligence (AI) will transform our society and it is clear that students will be forced to engage with AI in their careers.Currently, the United States lacks adequate infrastructure or capacity to support the teaching of AI in the K-12 curriculum.To address these challenges, we introduce the use of visual media as a key bridge technology to engage students in grades 6-8 with AI topics, through a recent NSF funded ITEST program, labeled ImageSTEAM.Specifically, we focus on the idea of a computational camera, which rethinks the sensing interface between the physical world and intelligent machines and enables students to ponder how sensors and perception fundamentally will augment science and technology in the future.Two workshops have been conducted, the first in summer 2021, and the second in summer 2022.The first workshop was delivered virtually due to the persistent COVID-19 environment at the time.The second workshop had one week conducted in-person and the second week was conducted virtually.Teachers and students participated in the workshops and their experiences will be shared and discussed at the conference.In addition, teacher use of the skills and knowledge learned from the workshops will be shared.
Optimization of Multi-target Continuous Dynamic Trajectory for Unmanned Aerial Vehicles

Authors:
raw_author_name: Ze Yu
raw_affiliation_string: Harbin Institute of Technology, Harbin 150001, China
raw_author_name: Naiming Qi
raw_affiliation_string: Harbin Institute of Technology, Harbin 150001, China
raw_author_name: Zheng Li
raw_affiliation_string: Harbin Institute of Technology, Harbin 150001, China
raw_author_name: Yuxuan Yao
raw_affiliation_string: Harbin Institute of Technology, Harbin 150001, China
raw_author_name: Jianfeng Wang
raw_affiliation_string: AVIC Aerodynamics Research Institute, Harbin 150060, China
raw_author_name: Mingying Huo
raw_affiliation_string: Harbin Institute of Technology, Harbin 150001, China

Abstract: In the problem of trajectory optimization for unmanned aerial vehicles (UAVs) passing through multiple target points, continuous velocity and acceleration in the process of optimization are essential for maintaining a feasible trajectory. This paper proposes a multi-segment holistic Bezier shaping method (MHBSM) for dynamic trajectory optimization. The MHBSM not only achieves holistic optimization of UAVs passing through a multi-target trajectory but also ensures high-order continuity at the junctions of trajectory segments. Unlike methods that generate non-dynamic trajectories by connecting arcs and straight lines (such as Dubins curves) without considering speed changes, MHBSM optimizes the trajectory while taking into account the dynamics of UAVs. The method optimizes the differential flat output space of a fixed-wing UAV dynamic model and transforms the dynamic optimization problem into a three-dimensional position optimization problem. The problem is then further transformed into an optimization of control points using the Bezier curve. The resulting trajectory satisfies the dynamic constraints. In comparison to the Gaussian pseudospectral method (GPM), MHBSM achieves similar optimization results with only a 2.58% difference, while requiring approximately 1.36% of the computational time on average. The MHBSM demonstrates excellent convergence performance while satisfying the constraints of continuous acceleration and obstacle avoidance.
Protecting quantum correlations of negative quantum states using weak measurement under non-Markovian noise

Authors:
raw_author_name: Jai Lalita
raw_affiliation_string: Indian Institute of Technology, Jodhpur-342030, India
raw_author_name: Subhashish Banerjee
raw_affiliation_string: Indian Institute of Technology, Jodhpur-342030, India

Abstract: Abstract The weak measurement (WM) and quantum measurement reversal (QMR) are crucial in protecting the collapse of quantum states. The idea of WM and QMR has recently been used to protect and enhance quantum correlations and universal quantum teleportation (UQT) protocols. Here, we study the quantum correlations, maximal fidelity, and fidelity deviation of the two-qubit negative quantum states developed using discrete Wigner functions with(without) WM and QMR. To take into account the effect of a noisy environment, we evolve the states via non-Markovian amplitude damping and random telegraph noise quantum channels. To benchmark the performance of negative quantum states, we calculate their success probability. We compare our results with the two-qubit maximally entangled Bell state. Interestingly, we observe that some negative quantum states perform better with WM and QMR than the Bell state for different cases under evolution via noisy quantum channels.
Entanglement-based quantum digital signatures over deployed campus network

Authors:
raw_author_name: Joseph Chapman
raw_author_name: Muneer Alshowkan
raw_author_name: Bing Qi
raw_author_name: Nicholas Peters

Abstract: The quantum digital signature protocol offers a replacement for most aspects of public-key digital signatures ubiquitous in today's digital world. A major advantage of a quantum-digital-signatures protocol is that it can have information-theoretic security, whereas public-key cryptography cannot. Here we demonstrate and characterize hardware to implement entanglement-based quantum digital signatures over our campus network. Over 25 hours, we collect measurements on our campus network, where we measure sufficiently low quantum bit error rates (<5% in most cases) which in principle enable quantum digital signatures at over 50 km as shown through rigorous simulation accompanied by a noise model developed specifically for our implementation. These results show quantum digital signatures can be successfully employed over deployed fiber. Moreover, our reported method provides great flexibility in the number of users, but with reduced entanglement rate per user. Finally, while the current implementation of our entanglement-based approach has a low signature rate, feasible upgrades would significantly increase the signature rate.
Managing and Billing Software for Hypermarket

Authors:
raw_author_name: Baggyalakshmi N.
raw_author_name: Revathi R.

Abstract: It previews the whole system design while in the free demo session and clear your queries by experiencing Optech’s digital dashboard. In the navigation system, we optimize the UI to be straightforward and comprehend for all sets of people so the employees grasp this entire operation. The Optech software has been developed with VB.net and MY SQL Server. The system is efficient in generating reports, which will help in the maintenance of the hypermarket easily. This Optech software can store a lot of records in the database. It’s a user-friendly software, which can be used for service, sales and report. It has an unlimited storage and application can be used in both online and offline. Reports for billing can be generated by data wise or pricewise.
Emerging Innovations and Global Challenges on Curriculum Design: Case Study of Teaching Security in Embedded System Design

Authors:
raw_author_name: Asad Salem

Abstract: Abstract Emerging innovations and global challenges are not only overwhelming human health and the environment but also complicating the training of the next generations of the workforce that will shape the future of the global economy. In particular, a topic of immediate concern is the security of embedded systems. Embedded systems are ubiquitous and are found in medical devices, nuclear plants, and chemical processing systems to name a few applications. The ever-increasing complexity of modern embedded systems has raised the potential for security breaches that may compromise the integrity and functions of these products. Although embedded systems design has been a core curriculum in most electrical and computer engineering programs, incorporating security-training skills at the undergraduate level remains challenging. Despite the enormity of security challenges, they are often ignored during the initial design and development period of an embedded system, thus leaving many devices vulnerable. We postulate that this design shortcoming is perhaps due, in part, to the teaching inadequacy of embedded security in early engineering education. In this paper we propose a framework to design an undergraduate curriculum that will incorporate security concepts in embedded systems courses. The curriculum will create new learning materials and teaching strategies that will focus on security concepts in early phases of embedded systems design. Because it is almost impossible to add security to an existing embedded system, the significance of this paper is to enforce life-learning awareness of security concerns in embedded systems design in early training of undergraduate students. The undergraduate curriculum will integrate security concerns, challenges, and concepts in all aspects of embedded systems design. We propose new learning materials and teaching strategies that will focus on securing the hardware and software programming of the central processing unit and its peripherals at the low-level layer allowing the upper-level layer to implement security standards with a greater efficiency. We will also provide advanced concepts that mitigate security breaches either by low-level encryption solutions or dead-end program destruction. The long-term goal of this paper is to promote security awareness in embedded systems at the undergraduate level.