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Articles 16981 - 17010 of 713685
Full-Text Articles in Entire DC Network
Penerapan Scaffolding Pada Zone Of Proximal Development Dalam Pembelajaran Sejarah Kelas X Ips, Ika Wara Yuni Antisna, Joko Sayono
Penerapan Scaffolding Pada Zone Of Proximal Development Dalam Pembelajaran Sejarah Kelas X Ips, Ika Wara Yuni Antisna, Joko Sayono
Journal of Innovation and Teacher Professionalism
Effective teaching is an ideal form of instruction that optimizes students’ abilities. Various instructional strategies can be applied to achieve optimal learning outcomes, one of which is scaffolding. This study aimed to analyze the implementation of scaffolding within the Zone of Proximal Development (ZPD) in history instruction for Grade X Social Sciences 3 at SMA Laboratorium UM and to evaluate its impact on students’ understanding and learning independence. The study used a qualitative descriptive approach. Data were obtained through observation, interviews, and document analysis. The findings showed that scaffolding was highly important in history learning because students still required teacher …
Forecasting Inland Waterway Container On Barge Volume: A Machine Learning Approach Using Economic Features, Fan Bu, Heather Nachtmann
Forecasting Inland Waterway Container On Barge Volume: A Machine Learning Approach Using Economic Features, Fan Bu, Heather Nachtmann
Industrial Engineering Faculty Publications and Presentations
This study presents a machine learning approach to predict Container-on-Barge (COB) volume in Inland Waterway Transportation (IWT) systems, focusing exclusively on using economic features as predictors. Five machine learning models were trained using European economic features to forecast COB volume, while historical COB volume was used solely for validation and hyperparameter tuning. Among these models, the convolutional neural network combined with long short-term memory (CNN-LSTM) exhibited superior performance, achieving a mean absolute percentage error (MAPE) of 1.08% when forecasting eight consecutive quarters of COB volume in Europe. The results demonstrate the feasibility of accurately forecasting COB volume using economic features. …
A Bidirectional Lstm Deep Neural Network Model With Ssa Based Optimizer To Detect Human-Written And Ai-Generated Content In Arabic Language, Nesreen M. Alharbi
A Bidirectional Lstm Deep Neural Network Model With Ssa Based Optimizer To Detect Human-Written And Ai-Generated Content In Arabic Language, Nesreen M. Alharbi
Journal of King Abdulaziz University: Computing and Information Technology Sciences
Advancements in AI technologies like ChatGPT are very much equipped and capable of writing articles within a short span of time. Use of artificial intelligence in education needs to be well organized and needs to go beyond technical accuracy, this opens a door to various unethical applications across multiple domains. Students rely on these AI tools, instead of coming up with their own idea and leads to reduce the student’s capacity to analyze information and to form a judgment. In other sectors like medical as well as in the field of scientific research there is an increase in use of …
Deep Learning Approaches For License Plate Detection In Saudi Arabia, Reemah M. Alhebshi, Abeer Almakky, Lujain Waleed Aljahdali, Raghad Bakr Hawsawi
Deep Learning Approaches For License Plate Detection In Saudi Arabia, Reemah M. Alhebshi, Abeer Almakky, Lujain Waleed Aljahdali, Raghad Bakr Hawsawi
Journal of King Abdulaziz University: Computing and Information Technology Sciences
The most important and challenging tasks in an intelligent traffic monitoring system are vehicle detection and classification. Conventional approaches are significantly computationally intensive and create limitations when the data-collecting modality alters. This study evaluates the effectiveness of deep learning models in extracting and classifying key vehicle attributes, such as license plates, models, and colors, through four AI-driven components for vehicle analysis. The YOLOv8m model was used for detecting the vehicle license plate and character recognition, achieving accuracy ranging from 95.10% to 99.24%. For vehicle model recognition, the Xception model also showed high performance with a precision of 96.79%. The EfficientNetB3 …
Vision-Based Triage Model For Fall Detection, Reem Alshalawi, Jamilah Alharbi, Mohammed Qadrouh
Vision-Based Triage Model For Fall Detection, Reem Alshalawi, Jamilah Alharbi, Mohammed Qadrouh
Journal of King Abdulaziz University: Computing and Information Technology Sciences
Artificial Intelligent (AI)has different methods to utilize technology in various scenarios. AI also has major impacts and values over emergency services. It can take actions and provide the ability to handle and support emergency cases that take place within a proper time to reduce the effect on the human lives. The paper addresses an AI model that forecasts and estimates syncope scenarios and incidents that may occur ahead of time or on the fly which results in immediate interventions and support to those cases to reduce complication. In this study, we have built a model using TensorFlow (TF) and Posenet …
Strategi Pembelajaran Berbasis Proyek: Upaya Meningkatkan Keaktifan Dan Hasil Belajar Di Sekolah Dasar, Hermawan Septa Millenia Nugraha, Rustanto Rahardi, Suwanto Suwanto
Strategi Pembelajaran Berbasis Proyek: Upaya Meningkatkan Keaktifan Dan Hasil Belajar Di Sekolah Dasar, Hermawan Septa Millenia Nugraha, Rustanto Rahardi, Suwanto Suwanto
Journal of Innovation and Teacher Professionalism
This study aimed to improve student learning outcomes and active participation at SDN Bareng 1, Malang Regency. It employed classroom action research conducted in three cycles. The participants included all students and teachers involved in the lessons, as well as the principal, who provided input through interviews. Guided teaching practice was carried out by student teachers with Grade III-A students. The findings showed that student engagement increased and contributed to improved learning outcomes from Cycle I to Cycle II. This improvement resulted from the implementation of Project-Based Learning (PBL), in which students completed worksheets and planned and carried out project …
(R2151) Error Estimates Of Barycentric Lagrange Interpolation, Alvira Yawar, Swarnima Bahadur
(R2151) Error Estimates Of Barycentric Lagrange Interpolation, Alvira Yawar, Swarnima Bahadur
Applications and Applied Mathematics: An International Journal (AAM)
Barycentric interpolation, which comes from Lagrange interpolation, is a useful method in numerical analysis. In this research paper, we explain how the barycentric interpolation formula is derived and discuss its features. We compare its stability and performance with the traditional Lagrange formula. First, we show how to get the barycentric formula from the Lagrange polynomial and present it as a rational function. We also provide an estimate of the error. Then, we use numerical examples to show that the barycentric formula is more stable and works better, especially when the degree of interpolation is high. Our results show that the …
Analysis Of Students' Problem-Solving Skills In Work And Energy Based On Gender, Miftahuljannah Muslimin
Analysis Of Students' Problem-Solving Skills In Work And Energy Based On Gender, Miftahuljannah Muslimin
Jurnal Pendidikan Sains
This study analyzes students’ problem-solving skills on Work and Energy using a quantitative descriptive design, profiling performance across five indicators without causal claims. Participants were 85 students from SMA Negeri 1 Barru, South Sulawesi (30 males, 55 females) who answered five essay items scored on useful description, physics approach, specific application, mathematical procedure, and logical progression. Overall means were 57.73 (females) and 60.73 (males); an independent t-test showed p = .333 > .05 with Cohen’s d = 0.22 (small), indicating no meaningful overall difference. By indicator, ANOVA showed no gender differences (α > .05) except for logical progression (p = .029). …
Control Strategies For 6-Dof Quadcopter Uavs: Cascade Pid Stabilization In White Noise Conditions, An Vo Van, Hung Ha Duy
Control Strategies For 6-Dof Quadcopter Uavs: Cascade Pid Stabilization In White Noise Conditions, An Vo Van, Hung Ha Duy
Makara Journal of Technology
In this study, a cascade PID control structure is proposed and implemented for a 6-degree-of-freedom (6-DOF) unmanned aerial vehicle (UAV) to enhance stability and trajectory tracking capabilities under both noise and non-noise conditions. The controller was designed based on the Tyreus–Luyben tuning method and was evaluated using quantitative metrics, including rise time, settling time, overshoot, and steady-state error. Simulation results on MATLAB/Simulink show that the controller achieves high performance in angular channels (ϕ, θ, ψ) and altitude (z) with a short rise time (< 2s), slight overshoot (< 1%), and nearly eliminated steady-state error. However, the horizontal position channels (x, y) have a longer settling time (~110s) and are sensitive to white noise. Quantitative comparisons with other control methods show that the cascade PID outperforms the standard PID in terms of accuracy and stability, achieving a performance comparable to LQR under noise-free conditions, but is less robust in the presence of noise than advanced methods like SMC and MPC. These results confirm the feasibility of cascade PID in UAV applications and indicate potential future improvements by integrating nonlinear, adaptive, or intelligent control strategies.
Quantum Readiness In Cybersecurity Education: A Framework For Preparing The Next Generation In The Post-Quantum Era, George Antoniou
Quantum Readiness In Cybersecurity Education: A Framework For Preparing The Next Generation In The Post-Quantum Era, George Antoniou
Faculty and Staff Publications & Presentations
This framework addresses the critical gap between post-quantum standards and workforce readiness. Shor's algorithm demonstrates that sufficiently powerful quantum computers can break the cryptographic foundations of internet security. While the cryptography research community has developed quantum-resistant algorithms, educational institutions have not prepared students to implement these solutions. Recent surveys show fewer than half of organizations have begun planning for post-quantum cryptography (PQC) transitions (Entrust Cybersecurity Institute, 2024; U.S. Government Accountability Office, 2023; (ISC)², 2024). The NICE Framework (Newhouse, Keith, Scribner, & Witte, 2017) outlines the knowledge and skills that cybersecurity professionals should possess. The framework omits post-quantum cryptography entirely. Organizations …
Pemanfaatan Nearpod Sebagai Media Pembelajaran Matematika Berbasis Gamifikasi Pada Materi Segitiga Dan Segi Empat Kelas Viii Smp, Intan Faraminda Putri, Erry Hidayanto, Sri Indayani
Pemanfaatan Nearpod Sebagai Media Pembelajaran Matematika Berbasis Gamifikasi Pada Materi Segitiga Dan Segi Empat Kelas Viii Smp, Intan Faraminda Putri, Erry Hidayanto, Sri Indayani
Journal of Innovation and Teacher Professionalism
Low student motivation is a major challenge in education today, particularly in mathematics. One solution is to use gamification-based instructional media such as Nearpod. The application offers interactive features, including quizzes, polls, simulations, and dynamic presentations, which can create an enjoyable and engaging learning environment. This study employed a qualitative approach to explore the benefits of using Nearpod in mathematics instruction. The participants were 32 students in Grade VIII-H at SMPN 18 Malang. Data were collected through open-ended surveys and observations of student activities during lessons. The findings showed that Nearpod improved students’ understanding of triangles and quadrilaterals, created a …
Implementasi Etnomatematika Melalui Makanan Tradisional Berbasis Pendekatan Culturally Responsive Teaching Materi Balok Dan Kubus, Salwa Sausanti, Ade Eka Anggraini, Hikmatus Saadah
Implementasi Etnomatematika Melalui Makanan Tradisional Berbasis Pendekatan Culturally Responsive Teaching Materi Balok Dan Kubus, Salwa Sausanti, Ade Eka Anggraini, Hikmatus Saadah
Journal of Innovation and Teacher Professionalism
This study aimed to describe the implementation of ethnomathematics through traditional foods in mathematics learning for fourth-grade elementary school students. A qualitative descriptive approach was used. Data were collected through observation, interviews, and documentation during mathematics lessons at SDN Ciptomulyo 1 Malang. The study found that mathematics instruction in Grade IV had not yet connected mathematical concepts with students’ everyday cultural experiences. Culture-based mathematics learning can create enjoyable and meaningful learning experiences. The implementation of ethnomathematics through traditional foods contributed to: (1) increasing students’ enthusiasm for learning and strengthening their critical thinking about rectangular prisms and cubes; (2) supporting conceptual …
Peningkatan Partisipasi Aktif Dalam Pembelajaran Melalui Metode Problem Solving Dan Penerapan Gaya Belajar Secara Visual Pada Siswa Kelas 11 Pekerjaan Sosial, Zulfa Kholila, Zulkarnain Zulkarnain, Anita Sylvi Yuspitarini
Peningkatan Partisipasi Aktif Dalam Pembelajaran Melalui Metode Problem Solving Dan Penerapan Gaya Belajar Secara Visual Pada Siswa Kelas 11 Pekerjaan Sosial, Zulfa Kholila, Zulkarnain Zulkarnain, Anita Sylvi Yuspitarini
Journal of Innovation and Teacher Professionalism
This article describes efforts to increase students’ active participation in the learning process among Grade XI Social Work students at SMKN 2 Malang during the 2023/2024 academic year. Active participation was promoted through the problem-solving method and the use of visual learning strategies during classroom instruction. The study employed classroom action research. The participants were 32 Grade XI Social Work students at SMKN 2 Malang, while the research focus was their active participation during lessons. Data were collected through observation, interviews, and documentation, then analyzed descriptively and presented in tables. The findings showed an increase in active participation from Cycle …
Penerapan Media Card Education Output Untuk Meningkatkan Keterlibatan Aktif Siswa Smp Pada Materi Mengapresiasi Kebudayaan Lokal, Thania Carolline, Abd. Mu'id Aris Shofa
Penerapan Media Card Education Output Untuk Meningkatkan Keterlibatan Aktif Siswa Smp Pada Materi Mengapresiasi Kebudayaan Lokal, Thania Carolline, Abd. Mu'id Aris Shofa
Journal of Innovation and Teacher Professionalism
This study aimed to explore the use of various instructional media to support effective classroom learning. A qualitative descriptive case-study approach was employed. The participants were 30 Grade X students at SMP Muhammadiyah 01 Malang. Data were collected through classroom observations, interviews with teachers and students, and analysis of learning documents. Data were analyzed using the Miles and Huberman interactive model, which includes data reduction, data display, and conclusion drawing. The findings showed that the use of varied instructional media, including social media and digital technology, increased student engagement and enriched their learning experiences. Traditional instructional media also continued to …
Penggunaan Aplikasi Quizizz Paper Mode Sebagai Media Dalam Evaluasi Pembelajaran Matematika, Dera Karisma Ningsih, Mifdal Zusron Alfaqi, Siti Sadiqyah
Penggunaan Aplikasi Quizizz Paper Mode Sebagai Media Dalam Evaluasi Pembelajaran Matematika, Dera Karisma Ningsih, Mifdal Zusron Alfaqi, Siti Sadiqyah
Journal of Innovation and Teacher Professionalism
This study aimed to analyze the use of Quizizz Paper Mode as an evaluation medium in mathematics learning. A quantitative descriptive method was used with 28 students as participants. The research instruments included evaluation questions, questionnaires, and structured interviews. The findings showed that Quizizz Paper Mode was effective for evaluating mathematics learning, with an average student score of 78.5 and most scores above 70. Students’ perceptions were highly positive: 80% considered the method easy to use, 85% stated that the questions were clear, and 70% felt more motivated. Teachers also supported its use, noting that Quizizz Paper Mode simplified test …
Benefits And Challenges Of Documentary Video For Social Learning: A Systematic Review, Andhika Yudha Pratama, Evania Yafie, Daya Negri Wijaya, Heni Masruroh
Benefits And Challenges Of Documentary Video For Social Learning: A Systematic Review, Andhika Yudha Pratama, Evania Yafie, Daya Negri Wijaya, Heni Masruroh
Journal of Innovation and Teacher Professionalism
Social learning refers to the process of observation through which individuals acquire and refine behaviors. It plays a crucial role in helping individuals differentiate between appropriate and inappropriate actions. Documentary videos can enhance this learning process by providing observational opportunities through the figures depicted in the videos. This article reviews studies on the advantages and challenges of using documentary videos in social learning. A systematic literature review method was employed, incorporating 23 studies—18 focusing on the benefits and 5 addressing the challenges of documentary videos. The studies were collected from Google Scholar, Taylor & Francis, Elsevier, Wiley, and SAGE Journals. …
Patterns Of Rifampicin And Isoniazid Resistance In Pulmonary Rr/Mdr-Tb With Or Without T2dm, May Ira Sopha, Laksmi Wulandari, Musofa Rusli, Dominicus Husada, Susantina Prodjosoewojo
Patterns Of Rifampicin And Isoniazid Resistance In Pulmonary Rr/Mdr-Tb With Or Without T2dm, May Ira Sopha, Laksmi Wulandari, Musofa Rusli, Dominicus Husada, Susantina Prodjosoewojo
Folia Medica Indonesiana
Tuberculosis (TB) causes approximately[-12pc]AU: Please provide ORCID ID for all authors. 1.6 million deaths each year. The incidence of drug-resistant TB has continued to rise, primarily due to multidrug-resistant tuberculosis (MDR-TB). Drug-resistant TB remains a primary concern in various parts of the world, especially in Eastern Europe, Russia, Asia, and sub-Saharan Africa. This study aimed to analyze the correlation between first-line anti-tuberculosis drug resistance and the presence or absence of T2DM comorbidity in patients with pulmonary RR/MDR TB. This research employed a cross-sectional design, which used secondary data from 2023, obtained from medical records, the Tuberculosis Information System (SITB), and …
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 32 – Corra 2 Dump Site Evaluation Summary Report (Dated October 24, 2025), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Quality Evaluation Of Ecological Experience Resources And Optimization Of Resource Management Policies In National Parks: Taking The Laohegou Area Of Giant Panda National Park As An Example, Baorong Huang
Double Helix Methodology
National parks are the core carriers for implementing the concept of “ecological protection first, public welfare for all”. This study used the fuzzy comprehensive evaluation method to evaluate the ecological experience resource quality of the Laohegou area in Giant Panda National Park of China. Based on the standardized psychological assessment scale and the Kessler Psychological Distress Scale, we have established an evaluation model for the psychological health benefits, quantifying the psychological health benefits of tourists in the ecological experience of national parks. At the same time, the relationship between the demographic characteristics, ecological experience characteristics, psychological health level, and psychological …
Toward An Orderly And Efficient Post-Disaster Humanitarian Material Donation System: A Case Study Of The ‘9·5’ Luding Earthquake, An Chen
Double Helix Methodology
Purpose – This study aims to assess the orderliness of the humanitarian material donation system (HMDS) following the 2022 “9·5” Luding Earthquake in China, providing insights into improving disaster relief efficiency and promoting postdisaster recovery. Design/methodology/approach – The orderliness of the HMDS is evaluated across three dimensions: donation input, donation output and donation environment. Correlation entropy and running entropy models are used to assess the system’s dynamics and to compare the performance of four donor types: government, enterprises, organizations and individuals. Findings – The early emergency phase (the first 12 days after the earthquake) is characterized by disorder and repeated …
The Concept, Dimensions, And Measurement Of Innovative Competitive Behavior Of Chinese Scientific And Technological Personnel, Rui Li
Double Helix Methodology
Introduction: While competitive behavior in innovation activities is increasingly prevalent in practice and actively promoted by policymakers, it remains an under explored area in academic research. To bridge this gap, we introduce the concept of “innovative competitive behavior,” providing a conceptual definition and clarifying its theoretical boundaries, rooted in social comparison theory from psychology. Methods: A mixed-methods approach was employed to systematically examine this construct. First, a qualitative study guided by grounded theory was conducted to explore the core dimensions of the construct. Subsequently, a quantitative phase involved the development and validation of a psychological scale through questionnaire surveys and …
Numerical Modeling And Experimental Validation Of A High-Temperature Latent Heat Thermal Energy Storage System Using Metallic Phase Change Materials For Concentrated Solar Power Applications, Fouad Hashim Sharhan
Numerical Modeling And Experimental Validation Of A High-Temperature Latent Heat Thermal Energy Storage System Using Metallic Phase Change Materials For Concentrated Solar Power Applications, Fouad Hashim Sharhan
Al-Esraa University College Journal for Engineering Sciences
To ensure reliable performance for the power-block of CSP plants, high power density and near-isothermal discharge must be achieved. A robust means of achieving this is through thermal energy storage (TES). High temperature latent heat storage (LHS) with phase change materials (PCMs) can serve these purposes, however the conventional salts used in PCMs typically suffer from low thermal conductivity that limits power density and increases energy storage charging/discharging times. This manuscript investigates ways to address these limitations using high temperature metallic phase change materials (MPCMs) while also developing a validated numerical framework to aid in their design. To this end, …
Thermal Performance Evaluation Of Solar Cooling Systems For Educational Facilities In Baghdad, Yasser Alawi Mohammed Attia Al-Jubouri
Thermal Performance Evaluation Of Solar Cooling Systems For Educational Facilities In Baghdad, Yasser Alawi Mohammed Attia Al-Jubouri
Al-Esraa University College Journal for Engineering Sciences
Schools in Baghdad also suffer from poor thermal comfort, which is a common problem in high-temperature and low-humidity arid climates such as that of the city, where using cooling devices leads to a large energy demand and overloads on the national power grid. Such study offers a thorough assessment of the thermal performance of solar-based cooling systems in an efficient manner to be suitable for educational buildings in Baghdad. The analysis is centred on a solar thermal cooling system with absorption as the heat interaction medium, and an experimental characterisation and mathematical simulation itself are performed. A pilot installation, consisting …
Construction And Data-Driven Analysis Of A Stochastic, Individual-Based Opioid Epidemiology Network Model, Leigh Bennett Pearcy, Owen Queen, Vincent Jodoin, Suzanne Lenhart, Christopher Strickland
Construction And Data-Driven Analysis Of A Stochastic, Individual-Based Opioid Epidemiology Network Model, Leigh Bennett Pearcy, Owen Queen, Vincent Jodoin, Suzanne Lenhart, Christopher Strickland
Mathematical Modelling and Numerical Simulation with Applications
While substance use epidemiology has been an active area of mathematical research in recent years, the social and mental processes that are involved in the development of substance use disorders have presented challenges to advancing the epidemiological theory and how they differ from the contraction of pathogenic disease. Such distinction is especially pertinent in the context of the current United States opioid epidemic and its intersection with the recent COVID-19 pandemic, as both prescription drugs and social influence play major roles in the development of opioid use disorder. In this paper, we construct a stochastic network model capturing how individual …
Optimal Control Of Stochastic Systems: A Numerical Study Of The Stochastic Linear Quadratic Regulator Framework, Gülşen Orucova Büyüköz, Yaprak Güldoğan Dericioğlu, Tuğçem Partal
Optimal Control Of Stochastic Systems: A Numerical Study Of The Stochastic Linear Quadratic Regulator Framework, Gülşen Orucova Büyüköz, Yaprak Güldoğan Dericioğlu, Tuğçem Partal
Mathematical Modelling and Numerical Simulation with Applications
Optimal control of stochastic linear systems is fundamental in control theory, with applications in robotics, finance, and engineering. The Stochastic Linear Quadratic Regulator (SLQR) derives optimal feedback laws via the Riccati equation but requires numerical discretization of the resulting stochastic dynamics. Despite extensive studies on numerical methods for stochastic differential equations, their performance within the SLQR framework remains insufficiently explored. This study compares two predictor–corrector schemes of different orders: the Order 1.0 Predictor-Corrector (PC) method and the Order 2.0 Weak PC method. A one-dimensional linear quadratic problem with a closed-form solution enables precise error evaluation against the analytical trajectory. Convergence …
Analysis And Numerical Investigation Of A Breast Cancer Treatment Model Incorporating Ketogenic Diet And Immune Boosters Via Optimal Control Theory, Kunnisai Muniroh, Ummu Habibah, Wuryansari Muharini Kusumawinahyu, Nur’Izzati Hamdan
Analysis And Numerical Investigation Of A Breast Cancer Treatment Model Incorporating Ketogenic Diet And Immune Boosters Via Optimal Control Theory, Kunnisai Muniroh, Ummu Habibah, Wuryansari Muharini Kusumawinahyu, Nur’Izzati Hamdan
Mathematical Modelling and Numerical Simulation with Applications
This paper develops a mathematical model to investigate breast cancer dynamics by incorporating tumor–immune interactions, ketogenic diet effects, and medical treatment. The model is formulated as a system of nonlinear ordinary differential equations and analyzed within an optimal control framework. Time-dependent control variables are introduced to represent treatment strategies aimed at minimizing tumor progression while reducing therapeutic costs. The model’s well-posedness is established through positivity and boundedness analysis. The necessary conditions for optimality are derived using Pontryagin’s Minimum Principle, resulting in a coupled system of state and adjoint equations. Numerical solutions are obtained using the fourth-order Runge–Kutta method combined with …
Information Processing In Quantum Thermodynamic Systems, Shou-I Tang
Information Processing In Quantum Thermodynamic Systems, Shou-I Tang
Graduate Masters Theses
This thesis extends the classical autonomous Hamiltonian framework of information thermodynamics to the quantum regime. In this formulation, a composite system consisting of a principal system, a heat bath, a memory, and a work source is described by fully quantum, time-independent Hamiltonian dynamics. By introducing the quantum speed limit (QSL) for the system and memory subsystems, referred to as the Quantum Thermodynamic Speed Limit (QTSL), I establish a connection between the QTSL and Landauer’s principle. This relationship reveals the fundamental constraints on quantum information processing in terms of dynamics and energy costs during the evolution. Furthermore, I present an interpretation …
Empowering Youth In A Changing Climate: Design, Implementation, And Evaluation Of A Salt Marsh Summer Science Program, Dan Levesque
Empowering Youth In A Changing Climate: Design, Implementation, And Evaluation Of A Salt Marsh Summer Science Program, Dan Levesque
Graduate Masters Theses
Climate change presents not only environmental challenges but also emotional challenges for today’s youth. This thesis documents the design, implementation, and evaluation of a field-based summer science program aimed at empowering adolescents with coastal salt marsh ecology while addressing climate change emotions and science identity development. The program, based in a Massachusetts salt marsh, was adapted from existing public environmental curricula and guided by place- and experience-based learning principles. Over Spring and Summer 2025, 13 students (ages 13-18) participated in extra-curricular field trips, hands-on research activities, and reflective discussions about the environment and the emotions it brings forth. Pre- and …
Efficient Task Allocation Technique For Robots In Smart Warehouse Using Center Of Items (Coi) Methodology, Ahmed Yahya, Mohamed S. Saraya, Ahmed I. Saleh
Efficient Task Allocation Technique For Robots In Smart Warehouse Using Center Of Items (Coi) Methodology, Ahmed Yahya, Mohamed S. Saraya, Ahmed I. Saleh
Mansoura Engineering Journal
Nowadays, online shopping is very important in Daily life. in 2020 During the quarantine during the spread of COVID-19, online orders increased dramatically, as a result of the great progress in fifth-generation technologies and using the Internet of Things (IoT) and industrial Internet of Things (IIoT), industry 4.0 and 5.0, fog computing, cloud computing, robots systems, and drones systems. Smart warehouses picking system becomes a Basic need and can be implemented to improve efficiency in logistics. Smart warehouses are growing more dependent on robot systems to make the process of meeting these requests more flexible and effective. Therefore, the allocation …
Aerodynamics And Heat Transfer In Polymer Blown Film Processing: Experimental And Numerical Investigation, Mohammad Luqman Zulbakri, Nur Atiqah Mat. Rautin, Raa Khimi Shuib, Ku Marsilla Ku Ishak, Auratus Zuratul Ain Abdul Hamid, Mohamad Danial Shafiq, Mohamad Yusof Idroas, Muhammad Khalil Abdullah
Aerodynamics And Heat Transfer In Polymer Blown Film Processing: Experimental And Numerical Investigation, Mohammad Luqman Zulbakri, Nur Atiqah Mat. Rautin, Raa Khimi Shuib, Ku Marsilla Ku Ishak, Auratus Zuratul Ain Abdul Hamid, Mohamad Danial Shafiq, Mohamad Yusof Idroas, Muhammad Khalil Abdullah
Makara Journal of Technology
The effects of airflow dynamics, heat transfer, and mechanical properties on the HDPE blown film extrusion process were examined using a single-lip air ring with a fixed compressed-air valve opening angle of 10°. Reynolds numbers ranging from 9175 to 25911 were analyzed to understand their impact on cooling efficiency, bubble morphology, and film properties. Numerical simulations employing the Standard k−ω turbulence model in ANSYS FLUENT v2023, with mesh refinement achieving y+ ≈ 1, captured detailed flow and heat transfer behavior. Results showed that higher Reynolds numbers significantly enhanced the heat transfer coefficient, with values increasing from 1096 W/m²·K at Reynold …