) = 2 − D(1) = 1.000102 D(2) = D(1) ∗ R(1) = 0.1111111102 R(2) = 2 − D(2) = 1.0000000102 D(2) = D(2) ∗ R(2) = 0.111111111112 Q = N ∗ R(0) ∗ R(1) ∗ R(2) = .10001010101012 Q = 0.5416510 0.4062510 /0.7510 = 0.541666610The Newton-Raphson method follows a similar process, except it approaches the inverse of thedenominator, and multiplies the inverse of the denominator with the numerator. The algorithm forthis method is xi+1 = x1 (2 − D ∗ xi ), where i is the number of iterations, and D is thedenominator. After multiple iterations, xi will approach the inverse of the denominator. Thesetwo algorithms are based on the same mathematical principle but have differentimplementations.2.5 Very High RadixAs you increase the radix of the SRT division
set of questions, which were unique to each course, asked about the student's agreeability to meetoutcomes defined in the course syllabus. The second and third sets of questions were based on a surveypreviously used in an EOP-based course[6]. After data collection, it was compiled and statisticallyanalyzed by converting the Likert-type rating scales to numerical values as shown below, where 1 and 5represent responses that strongly disagree (1) and strongly agree (5) with the presented sub-questions,respectively. Sustainability/EOP-related questions (Q. 2 and 3) related used in the survey are shown below:Table 2: Question 2 - This second part of the survey aims to assess how the course project helped you in learning andapplying course topics
larger, more genericcategories which are well-known to have different levels of engagement [18]. For example, toexplain electrical safety, an instructor may conduct a traditional lecture, do a role-playing activity,tell a story, or conduct a live demonstration. All of these activities fall into the lecture categorybecause the emphasis is on the instructor conveying information to passive listeners.Alternatively, we categorized Q&A sessions differently due to their interactive nature; studentsposed questions to the instructor, who then answered the question, which often led to newquestions and discussion.In Fall 2023, three observers used the protocol in both sections for ten different class sessions,representing the five different teamwork
2 3 4 5 6 Q Q Q Q Q Q
measure, including askingthe educators to consider what new knowledge of STEM broadly, and geospatial designspecifically they hope to see in their students. References1. Chen, CM., Wang, YH. (2015). Geospatial Education in High Schools: Curriculums, Methodologies, and Practices. In: Muñiz Solari, O., Demirci, A., Schee, J. (eds) Geospatial Technologies and Geography Education in a Changing World. Advances in Geographical and Environmental Sciences. Springer, Tokyo. https://doi.org/10.1007/978- 4-431-55519-3_62. Bodzin, A. M., & Fu, Q. (2014). The effectiveness of the geospatial curriculum approach on urban middle-level students’ climate change understandings. Journal of Science Education
student research and transfer partnerships. New Dir. Community Coll. 2012, 97–110 (2012).4Appendix 1 : Boot Camp Agenda Day 1: Bio-preservation Boot Camp Kickoff and Course Instruction8:00 AM Transportation pick-up8:30AM Breakfast UCR | Highlander Union Building 2699:00 AM Intro to Research: Being a Researcher - Dr. Chris Hogan10:00 AM Welcome to ATP-Bio and Center Overview – Dr. John Bischof10:30AM ATP-Bio Research Overviews Part I12:00 PM Lunch |1:15 PM Institutional Training Administrative Breakout:1:45 PM ATP-Bio Research Overviews Part II - Activity rotations2:45PM REU Alumni Panel Q&A - REU Alumni3:30PM
, and P. Dario, “On the development of a novel adaptive prosthetic hand with compliant joints: experimental platform and EMG control,” 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1271-1276, IEEE, 2005. 11. R. Fourie, and R. Stopforth, “The mechanical design of a biologically inspired prosthetic hand, the touch hand 3,” pp. 38-43, IEEE, 2017. 12. Q. Luo, M. Bai, S. Chen, K. Gao, L. Yin, and R. Du, “Enhancing force control of prosthetic controller for hand prosthesis by mimicking biological properties,” IEEE Journal of Translational Engineering in Health and Medicine, 2023. 13. E. C. Prinsen, M. J. Nederhand, J. Olsman, and J. S. Rietman, “Influence of a user
Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningAugust (2016) 785–79412. Wang C., Wu Q., Weimer M., Zhu E.. FLAML: A Fast and Lightweight AutoML Library. (2019). https://arxiv.org/abs/1911.0470613. Ke G., Meng K., Finley T., Wang T., Chen W., Ma W., Ye Q., Liu TY. LightGBM: a highly efficient gradient boosting decision tree. NIPS'17: Proceedings of the 31st International Conference on Neural Information Processing Systems. (2017) 3149–315714. Prokhorenkova L., Gusev G., Vorobev A., Dorogush AV, Gulin A. CatBoost: unbiased boosting with categorical features. NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems
” sessions.In that meeting, they also came up with plans (for communication, conflict management, etc.) forproject management and specify roles (rotational) for themselves.Analysis TechniqueA baseline data was collected at the beginning of the semester to assess students’ pastparticipation in teams and their perception of teamwork. After implementing the interventions, afinal data collection was done to measure student participation and their perception of teamwork.The effect of the interventions (Research Question #1) was measured using the improvement (ordeterioration, calculated by subtracting the baseline score from the final score) in studentparticipation and their perception of teamwork. Student teamwork was measured using the Team-Q survey [21
professional, academic or personal goals?We collected responses from students to the following questions for answering this question:Outcome Survey Question Response - YesIntent of Q: Are you going to apply what you - Yes I’d like to but I am notApplication learnt today elsewhere? confident how to - No 5-Point Likert Scale: ExtremelyConfidence in Q: How confident are you in being able under confident to ExtremelyApplication
learning technology into classrooms: The importance of teachers’ perceptions. Journal of Educational Technology & Society, 5(1), 67–74. https://www.jstor.org/stable/jeductechsoci.5.1.67Dominic, K., & Aik Ling, T. (2021). Singaporean Pre-service Teachers’ Perceptions Of STEM Epistemic Practices And Education. Journal of STEM Teacher Education. https://doi.org/10.30707/jste56.2.1649165366.257139Fantacone, D., Wang, Q., & Radloff, J. (2024). Science and Mathematics Teachers’ Views of the Characteristics of Effective Professional Development: A Q Methodological Study. Research Issues in Contemporary Education, 9(1), 77-113.Flanagan, C., Gallay, E., & Pykett, A. (2022). Urban youth and the
S - Incorrect sign on one or more components Resolve a vector F - Incorrect value of one or more components Add vectors N/A Q - Vector sketched in quadrant inconsistent with vector expression Sketch a vector A - Angle indicated on sketch inconsistent with calculated angleIn problem 2, students were asked to determine the moment of each force about a given point,then find the magnitude and
: Long Papers) (pp. 1667-1682).37. Recasens, M., Danescu-Niculescu-Mizil, C., Jurafsky, D. (2013). Linguistic Models for Analyzing and Detecting Biased Language. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 1650-1659).38. Alam, M., Iana, A., Grote, A., Ludwig, K., M¨ uller, P., Paulheim, H. (2022). Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection. In Companion Proceedings of the Web Conference 2022 (pp. 3197-3207).39. Lees, A., Tran, V. Q., Tay, Y., Sorensen, J., Gupta, J., Metzler, D., Vasserman, L. (2022). A new generation of perspective api: Efficient multilingual character-level
(2)The flow through the orifice may be described by the equation Q = Avc vvc (3) © American Society for Engineering Education, 2023 2023 ASEE Midwest Section ConferenceHowever, the area of the vena contracta is difficult to measure. Thus, the discharge coefficient, 𝐴𝐴CD = 𝐴𝐴𝑣𝑣𝑣𝑣 , is introduced so that Equation (3) may be rewritten as 𝑜𝑜 Q = CD A0 vvc (4) 𝜋𝜋𝑑𝑑𝑜𝑜2where A0 is the area of the orifice
Badaoui, “Application of cyclic spectral analysis to gear damage assessment,” in 2010 Prognostics and System Health Management Conference, PHM ’10, 2010. doi: 10.1109/PHM.2010.5413451.[16] Q. Hao and J. Ren, “Determination of the Mechanical Origination of Wheel-Rail Rolling Noise Based on Spectrum Analysis,” in Proceedings of 2022 6th Asian Conference on Artificial Intelligence Technology, ACAIT 2022, 2022. doi: 10.1109/ACAIT56212.2022.10137976.[17] A. Gani and M. J. E. Salami, “A LabVIEW based data acquisition system for vibration monitoring and analysis,” in 2002 Student Conference on Research and Development: Globalizing Research and Development in Electrical and Electronics Engineering
significant predictors is as follows:Motivation = 2.866 + 0.229(Enjoyment) - 0.101(Anxiety) - 0.153(Shame)Residuals were examined to assess the assumptions of the regression model. The scatter plot ofobserved vs. predicted values and the plot of residuals vs. predicted values indicated that theassumptions of linearity and homoscedasticity were reasonably met. The histogram and Q-Q plotof the residuals suggested that the residuals were approximately normally distributed, with someminor deviations at the tails. The Durbin-Watson statistic was 2.04, indicating no significantautocorrelation in the residuals. These checks support the appropriateness of the regression modelfor the data.From the figure 3, we can interpret that the Observed vs. Predicted
Maintaining Effective Research Teams. IEEEComputer Society.[7] Bernat, A., Teller, P.J., Gates, A., Delgado, N., & Della-Piana, C.K. (2000, July). Structuringthe student research experience. In Proceedings of the 5th Annual SIGCSE/SIGCUE ITiCSEConference on Innovation and Technology in Computer Science Education, pp. 17-20[8] Gates, A. Q., Hug, S., Thiry, H., Aló, R., Beheshti, M., Fernandez, J., & Adjouadi, M. (2011).The Computing Alliance of Hispanic-Serving Institutions. ACM Transactions on ComputingEducation, 11(3), 1–21. doi:10.1145/2037276.2037280[9] Villa, E. Q., Kephart, K., Gates, A. Q., Thiry, H., & Hug, S. (2013). Affinity Research Groupsin practice: Apprenticing students
University is retaining and graduating Blackengineers at higher rates National averages.So, what is it about our program that makes it so successful… 4 Five Pillars of BCoE Summer Bridge Bridge Bonding Academics Engineering at MSU Engineering Project Engineering Industry- Photo Scavenger Hunt - Math - Chemical Lab - Project Work - Game/Skate Nights - Chemistry - Civil Engineering Lab - Project Q&A - Ergon Trip-Physical Fitness Center - Computer
informed by the incorporation of practical scenarios,allowing students to apply theoretical concepts to real-world situations. This integration of theoryand practice is recognized as a key driver for effective engineering education [9]. The emphasison communication and weekly progress meetings aligns with research highlighting the positiveimpact of regular feedback on student performance and understanding [10]. Project 2 then expandson these foundations, incorporating advanced analysis tools, aligning with research suggesting thatexposure to diverse analytical techniques enhances problem-solving proficiency [11]–[13].The work of the "Electra-Q" group, investigating the influence of extreme temperatures, charging,and discharging rates on Li-ion
. Ge, Y. H., et al. (2018). Does gender discrimination exist in the employment of collegestudents? —Based on the method of virtual matching resumes. Quarterly Journal of Economics,(4), 30-39. Han, P., & Song, H. Q. (2023). Digital economy development, industrial structure upgrading,and employment quality. Business Research, (06), 30-39. Hu, S., Jiang, C., & Zhu, F. (2020). Career preparation and career choice of secondaryvocational students: The mediating role of learning motivation. China Vocational and TechnicalEducation, 20, 68-74. International Labour Organization. (1999). Decent work. Geneva, Switzerland: International Labour Organization. (Report of the Director-General, International Labour Conference, 87th session
| xi = 0, 1 ≤ i ≤ n} can be found, such that wi · xi ≤ S − W and xi ∈ {0, 1}. i=1Optimization AlgorithmIn this section, an optimization algorithm that makes use of 0−1 integer programming is describedto address the OTP problem. Consider that the catalog of the starting school contains p courses,denoted a1 , . . . , ap , and the catalog of the destination school contains q courses, denoted b1 , . . . , bq .Let cr[i] denote the credit hours associated with course i. To determine the set of courses that willbe included in the curriculum at the starting school, a p × 1 binary-valued assignment matrix isdefined as follows, 1; if course
velocity V2 do not have the same valuesince the inlet and outlet pipe diameters are different. If the bulk flow rate Q is known, thevelocities V1 and V2 are easily calculated from the continuity relation: πD12 πD22 (5) Q = V1 = V2 4 4The efficiency η is found to be a function of the flow rate and is therefore not just a constant for agiven pump. Efficiency is an important characteristic of a pump, since, as indicated in Figure 2,the difference 𝑃𝑃𝑖𝑖𝑖𝑖 − 𝑃𝑃𝑜𝑜𝑜𝑜𝑜𝑜 represents power that is lost.Fundamental variables appearing in pump characteristics curves
participant chose for their poem, and, therefore,some participants did not report their topic. Those responses are coded as undeclared. For theSpring 2023 semester, however, a separate question was included to ensure all participantsreported their topic in a clear manner (see Appendix B.2). Aside from undeclared, the codesfrom the analysis of deterministic inventory modeling in Poem 2 are preliminaries, ABCanalysis, EOQ modeling, and miscellaneous whereas the codes from the analysis of stochasticinventory modeling in Poem 3 are preliminaries, newsvendor, (q,r) policy, and miscellaneous.For participants who chose a topic that did not fall into one of the predetermined categories, theirresponse was tagged to miscellaneous. The miscellaneous reports
. 53.1.4 Challenge 4The challenge involves performing multiplication on two large numbers, p and q, and subsequentlyfinding the factors of the resultant number. To achieve this, participants are instructed to downloadand employ the yafu tool. The values of p and q are provided as hexadecimal representations. Thestudents were given extra commands such as “yafu.exe “p*q”” to be executed in the commandprompt to perform the multiplication. Afterward, the task entails factorizing the computed numberand identifying the P3 value as the answer. To factorize the number, the command “yafu.exe factor(number)” was used. An additional doc file was given to students for consultation. The decryptedflag was a location to a particular place.3.1.5 Challenge
, Association for Computational Linguistics, Nov. 2020.[14] J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. Chi, Q. Le, and D. Zhou, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,” Jan. 2023. arXiv:2201.11903 [cs].[15] K. Bhatia, A. Narayan, C. De Sa, and C. R´e, “TART: A plug-and-play Transformer module for task-agnostic reasoning,” June 2023. arXiv:2306.07536 [cs].[16] S. Huang, L. Dong, W. Wang, Y. Hao, S. Singhal, S. Ma, T. Lv, L. Cui, O. K. Mohammed, B. Patra, Q. Liu, K. Aggarwal, Z. Chi, J. Bjorck, V. Chaudhary, S. Som, X. Song, and F. Wei, “Language Is Not All You Need: Aligning Perception with Language Models,” Mar. 2023. arXiv:2302.14045 [cs].[17] J. Wei, M. Bosma, V. Y. Zhao, K. Guu, A
. 233–243, Oct. 2013, doi: 10.1016/j.compedu.2013.05.012.[6] Y. Chen, Y. Ma, X. Mao, and Q. Li, “Multi-Task Learning for Abstractive and Extractive Summarization,” Data Science and Engineering, vol. 4, no. 1, pp. 14–23, Mar. 2019, doi: 10.1007/s41019-019-0087-7.[7] A. Magooda, M. Elaraby, and D. Litman, “Exploring Multitask Learning for Low-Resource AbstractiveSummarization,” arXiv preprint arXiv:2109.08565, 2021.[8] J. P. Verma and A. Patel, “An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data,” International Journal of Computer Applications, vol. 143, pp. 51–55, 2016.[9] W. Luo and D. Litman, “Summarizing student responses to reflection prompts,” in Proceedings of
why they were made. • Considering Risks – For the vapor power cycle installation, discuss any risks or strengths for each of the following: o Public health, safety, and welfare o Global factors o Cultural factors o Social factors o Environmental factors o Economic factorsProject OverviewThe assignments of the project spanned across the latter half of the Fall 2023 semester. Theproject included multiple deliverables with submission deadlines spread across the two months.Whether the specific assignment was completed individually or as a group is indicated inparentheses. • Power Plant Visit (individual grade, class went together) • Power Plant Visit Q&A assignment
• Hash Functions • Symmetric and Asymmetric Key • Quantum-Safe Cryptography Quantum Information • Density Matrices • Bloch Sphere • Multiple Systems and Reduced StatesIBM • Build your Ciruits Weeks 3 , 5 Hands-on PracticesQuantum • Apply your Gates &6Composer https://quantum.ibm.com/composer • Analyze Q-SphereandSimulatorIBM Labs • Jupyter Lab Weeks 3 - 7 Hands-on Practices • Matplotlib
). 'Engineering designprocesses: A comparison of students and expert practitioners.' Journal of Engineering Education,86(2), 151158.[2] Strimel, G., Chen, H. L., & Shuman, L. J. (2016). "Problem Identification Skills: A CrucialElement in the Engineering Design Process." In Proceedings of the 2016 ASEE Annual Conference& Exposition.[3] Harari, R., Rosen, D., & Mehalik, M. M. (2017). "Assessment of Problem IdentificationSkills in First-Year Engineering Students." In Proceedings of the 2017 ASEE Annual Conference& Exposition.[4] Clark, Q. M., Capobianco, B. M., Esters, L. T. (2023). Identification of essential integratedSTEM curriculum implementation components. Journal of Agricultural Education, 64(3).https://doi.org/10.5032
: 𝑚(𝑢2 − 𝑢1 ) + 𝑊 ∆𝑡 = 𝐸𝑞𝑛 3 𝑄The mass can be directly found by the water volume. The specific internal energies can be foundfrom the steam tables. The work is found by, 2 𝑊 = ∫ 𝑝𝑑𝑉 = 𝑚𝑝(𝜗2 − 𝜗1 ) 𝐸𝑞𝑛 4 1The heat, Q, is found by measuring the interface temperature of the copper cup and the hot plateas well as the temperature of the bottom of the cup. The thickness of the bottom of the cup mustbe known to complete this calculation. Equation 5 gives this value