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Articles 4501 - 4530 of 714647
Full-Text Articles in Entire DC Network
Tinf-Consensus For Multi-Annotator Learning: Separating Neutral Responses From Polarized Disagreement, Mukhtar Ahmad
Tinf-Consensus For Multi-Annotator Learning: Separating Neutral Responses From Polarized Disagreement, Mukhtar Ahmad
Neutrosophic Sets and Systems
No abstract provided.
N-Evichain: A Neutrosophic Twofold Evidence-Chain Reasoning System For Legal Fact Support Assessment Under Uncertainty, Shimaa Abdelghany Attalla, Nada Hesham, Abduallah Gamal
N-Evichain: A Neutrosophic Twofold Evidence-Chain Reasoning System For Legal Fact Support Assessment Under Uncertainty, Shimaa Abdelghany Attalla, Nada Hesham, Abduallah Gamal
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Approaches In Deep Learning For Ambiguous Medical Image Analysis: A Systematic Review Toward Wound Assessment, Zakaria Ahmed, Reda Ahmed
Neutrosophic Approaches In Deep Learning For Ambiguous Medical Image Analysis: A Systematic Review Toward Wound Assessment, Zakaria Ahmed, Reda Ahmed
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Sets And Systems, Vol. 100, 2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets And Systems, Vol. 100, 2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets and Systems
No abstract provided.
2026 June 25 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
2026 June 25 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Weekly Drought Summaries
No abstract provided.
Determination Of Latitude And Longitude Using Solar Radiation Simulation, Atif Idrees, Naeem Sadiq, Syed A. Hassan
Determination Of Latitude And Longitude Using Solar Radiation Simulation, Atif Idrees, Naeem Sadiq, Syed A. Hassan
Makara Journal of Science
Solar radiation is an important energy source needed by the Earth and its inhabitants. Solar radiation is divided into three components: direct beam solar radiation (BSR), diffuse solar radiation (DSR), and global solar radiation (GSR). The solar flux received at different locations on Earth depends on geographic coordinates, particularly latitude and longitude, as well as the reference meridian used for solar time calculations. In this study, we developed a solar radiation simulator in a spreadsheet incorporating spin buttons. The simulator can simulate all three types of solar radiation. The spin buttons control and vary the values of latitude and longitude …
Exploration And Practice Of Talent Cultivation System For System Modeling And Simulation, Shaoping Wang, Chao Zhang, Ni Li, Yong Cui, Yongjia Zhao, Quan Quan
Exploration And Practice Of Talent Cultivation System For System Modeling And Simulation, Shaoping Wang, Chao Zhang, Ni Li, Yong Cui, Yongjia Zhao, Quan Quan
Journal of System Simulation
Focusing on the cultivation of innovative talents in modeling and simulation of aerospace and safety-critical control systems and facing the problems and challenges in the education and teaching of talent cultivation for system modeling and simulation, this paper inherited the "red ambition, soaring far" spirit of simulation researchers in Beihang University, constructed an integrated bachelor, master, and doctoral course system empowered by the latest key technologies, designed open and collaborative aerospace teaching cases, independently developed a control system simulation teaching platform based on Chinese simulation software MWORKS, and constructed a hardware-in-the-loop simulation experimental verification system for C919 aircraft, to …
Exploration Of Talent Cultivation System And Practical Model For Simulation And Optimization Of Intelligent Manufacturing System, Xinyu Li, Zheng Duan, Liang Gao, Chunjiang Zhang, Peigen Li
Exploration Of Talent Cultivation System And Practical Model For Simulation And Optimization Of Intelligent Manufacturing System, Xinyu Li, Zheng Duan, Liang Gao, Chunjiang Zhang, Peigen Li
Journal of System Simulation
To address problems such as the insufficient integration of science and education in the talent cultivation system for traditional manufacturing system simulation and optimization, the insufficient integration of industry and education in cultivation goals and approaches, and the lack of full-chain industrial-level practical cultivation means, a "1223" reform scheme for innovative talent cultivation in the intelligent manufacturing system was formed. Research and practice were carried out focusing on the talent cultivation system, cultivation approaches, and practical cultivation resources for the simulation and optimization of the intelligent manufacturing system. Significant outcomes were achieved in aspects of innovative talent cultivation, faculty and …
Exploration Of Online-Offline Integrated Practical Teaching Path Driven By Digital-Intelligent Simulation, Zhen Zuo, Dong Zhang, Zhi Wang, Zhongxin Li
Exploration Of Online-Offline Integrated Practical Teaching Path Driven By Digital-Intelligent Simulation, Zhen Zuo, Dong Zhang, Zhi Wang, Zhongxin Li
Journal of System Simulation
To address the disconnection between theory and practice, industry and education, and scientific research and teaching in traditional practical teaching, this paper utilized digital-intelligent simulation to empower practical teaching, promoted the collaborative linkage between national-level science and education platforms and high-quality industrial research and development platforms, and constructed a vehicle-oriented "CAE simulation, autonomous driving simulation, and performance testing simulation" practical system. Guided by the constructivist learning theory, this paper innovated the practical model by integrating online and offline approaches, built a competency-oriented practical education ecosystem through competition-education integration, and formed a new "competency-led, industry-oriented, and project-driven" paradigm of …
Iterative Evolution And Innovation Of Simulation-Based Experimental Teaching In Software Engineering, Jun Guo, Yixian Liu, Lianbo Ma, Jian Liu, Chunyan Xu
Iterative Evolution And Innovation Of Simulation-Based Experimental Teaching In Software Engineering, Jun Guo, Yixian Liu, Lianbo Ma, Jian Liu, Chunyan Xu
Journal of System Simulation
In view of the structural disconnection between talent training and industry needs caused by the limitations of traditional computer experiment teaching in scenario authenticity, technological frontier, interdisciplinary integration, and student subjectivity, this paper proposed and practiced a new simulation-based experimental teaching system deeply integrating Chinese educational wisdom. Taking "incremental progress and learning by guided inquiry" as the core philosophy, through a four-in-one paradigm transformation of "task modularization, scenario virtualization, technological frontier, and integration deepening", this paper promoted the teaching to shift from closed skill verification to open engineering innovation and constructed a complete implementation path including "closed-loop iterative teaching process" …
Four-Dimensional Gradient Integration: Reform And Practice On Modeling And Simulation Courses For Management Disciplines, Bin Wu, Huagang Tong, Zhiyong Cui, Feiyi Yan
Four-Dimensional Gradient Integration: Reform And Practice On Modeling And Simulation Courses For Management Disciplines, Bin Wu, Huagang Tong, Zhiyong Cui, Feiyi Yan
Journal of System Simulation
In the process of course implementation, local universities generally face problems such as students' weak mathematical and physical foundations, disconnection between teaching content and technological frontiers, single teaching method, and fragmented cultivation of practical capability. Based on long-term teaching reform practice, a four-dimensional gradient integration teaching model of "value guidance, knowledge restructuring, scenario innovation, and capability progression" was proposed, and its theoretical logic, implementation path, and practical effect were systematically elaborated. This model can effectively stimulate students' intrinsic motivation for learning, promote the digital and intelligent updating of teaching content, expand the teaching scenario of industry-education integration, and realize …
Improved Nsga-Ii For Dual-Resource Flexible Job Shop Scheduling Considering Worker Load, Guohui Zhang, Yuan Ren, Changjun Wu, Xiaofei Kou
Improved Nsga-Ii For Dual-Resource Flexible Job Shop Scheduling Considering Worker Load, Guohui Zhang, Yuan Ren, Changjun Wu, Xiaofei Kou
Journal of System Simulation
For the dual-resource-constrained flexible job shop scheduling problem considering worker load, an evolutionary algorithm integrating reinforcement learning was proposed. A three-stage encoding conforming to the problem characteristics was designed, and three initialization methods were combined to improve the population quality; a left-insertion decoding method based on worker load was designed to ensure that the completion time of the operation is less than the maximum processable time of the worker on the current day; two neighborhood structures based on the critical path were constructed to enhance the local exploration ability of the population; reinforcement learning was integrated to enable the …
Parameter Identification Of Permanent Magnet Synchronous Motors Based On Igwo-Aekf, Lei Yao, Zijian Zheng, Tianhao Li, Yulun Chi
Parameter Identification Of Permanent Magnet Synchronous Motors Based On Igwo-Aekf, Lei Yao, Zijian Zheng, Tianhao Li, Yulun Chi
Journal of System Simulation
The accuracy of the traditional EKF in parameter identification of the PMSM tends to be degraded under load changes or abrupt changes in internal parameters of the motor. This paper proposes an IGWO adaptive interconnected Kalman filter observer, which constructs an adaptive mechanism that combines the innovation and residuals to achieve dynamic adjustment of the process noise matrix and system noise matrix, thereby avoiding the problem of reduced parameter identification accuracy due to reliance on fixed covariance matrices under operating condition changes. A multi-parameter interconnected coupling compensation identification model for PMSM is built to mitigate the effects of measurement noise …
Research On Control Strategy For Shortest Time Occupancy Of Auv Based On Improved Td3, Wenzhe Ren, Min Li, Xiangguang Zeng, Tao Zhang, Dijie Xie, Bei Peng
Research On Control Strategy For Shortest Time Occupancy Of Auv Based On Improved Td3, Wenzhe Ren, Min Li, Xiangguang Zeng, Tao Zhang, Dijie Xie, Bei Peng
Journal of System Simulation
Existing occupancy models fail to fully consider the interference of underwater time-varying ocean currents and task time constraints, and AUVs lacks real-time motion control. To address these issues, a shortest time occupancy method based on quantile regression and distributed TD3 was proposed. The Bayesian inference method was used to identify hydrodynamic parameters, and the kinematic and dynamic models of AUVs were established; the shortest time occupancy equation was constructed, and the occupancy target point and occupancy time were solved; a first-order Gauss-Markov process was introduced to simulate the time-varying ocean current environment, and the training of control strategy for AUV …
Impact Angle-Constrained Dive Maneuver Guidance Method For Hypersonic Vehicles, He Wang, Gang Lei, Shaopeng Li
Impact Angle-Constrained Dive Maneuver Guidance Method For Hypersonic Vehicles, He Wang, Gang Lei, Shaopeng Li
Journal of System Simulation
To address the impact angle control and maneuvering flight problem of hypersonic vehicles in the dive phase, this paper proposed a tracking guidance method integrating optimal Bézier curves and super-twisting sliding mode control. A three-dimensional Bézier curve trajectory satisfying the impact angle constraint was designed, and the maneuvering flight in dive phase was achieved by adding dynamic control points; to optimize impact velocity, a rapid calculation method for the impact velocity of the vehicle flying along the curve was derived, and the optimal reference trajectory was obtained by optimizing the control point parameters through sequential quadratic programming; to ensure …
Application Of Improved Multi-Objective Differential Algorithm In Robotic Arm Multi-Objective Trajectory Planning, Manqiang Liu, Ziqiang Shang
Application Of Improved Multi-Objective Differential Algorithm In Robotic Arm Multi-Objective Trajectory Planning, Manqiang Liu, Ziqiang Shang
Journal of System Simulation
It is difficult for single-objective trajectory planning methods to meet the requirements of precision, diversity and complexity of robotic arms. A trajectory planning model based on an improved multi-objective differential evolution algorithm (guided multi-objective differential evolution, GMODE) algorithm is proposed. Cubic polynomial interpolation and B-spline curves are employed to construct multi-objective functions, while GMODE is adopted to overcome the limitations of traditional algorithms, such as insufficient population diversity, the tendency to fall into local optima, and slow convergence. A grouping strategy, parameter generation mechanism, and elite mutation based on fuzzy Cmeans clustering are introduced to optimize B-spline control nodes. …
Robot Friction Force Compensation Algorithm Integrating Temperature And Speed Factors, Jinwang Lü, Ankai Ying, Ming Li, Tao Song, Jie Zhang, Fanghui Qiu, Changcheng Shi, Guokun Zuo, Jialin Xu
Robot Friction Force Compensation Algorithm Integrating Temperature And Speed Factors, Jinwang Lü, Ankai Ying, Ming Li, Tao Song, Jie Zhang, Fanghui Qiu, Changcheng Shi, Guokun Zuo, Jialin Xu
Journal of System Simulation
Insufficient friction force compensation accuracy degrades motion smoothness, stability, and assistive compliance of elbow joint rehabilitation robots. To address this issue, an improved Stribeck friction force model integrating temperature and speed factors was proposed. The model employed an exponentially decaying friction factor to describe the characteristic that the increase rate of friction force slowed down with the rise of the robot's operating speed and designed a viscous function considering temperature effects to suppress friction force fluctuations caused by temperature changes. Experimental results indicate that the model achieves stable friction force compensation under different operating states of the robot and has …
Current Status And Prospects Of Complex Scene Reconstruction Based On Gaussian Splatting, Hong'an Li, Jiale Yang, Qingfang Liu, Yu Shi
Current Status And Prospects Of Complex Scene Reconstruction Based On Gaussian Splatting, Hong'an Li, Jiale Yang, Qingfang Liu, Yu Shi
Journal of System Simulation
Three-dimensional Gaussian splatting (3DGS) provides an alternative approach for novel view synthesis from the perspective of explicit representation. By reconstructing scenes using 3D Gaussian primitives and replacing traditional ray integration with a point-based rasterization process, it not only improves training and rendering efficiency but also offers new insights for complex scene reconstruction. This paper divided 3DGS-based complex scene reconstruction methods into three major categories and elaborated on them around large-scale scenes, sparse views, and dynamic scenes. It reviewed the current development status of this field and pointed out possible future research directions.
Pattern Identification And Mechanism Analysis Of Nonlinear Oscillations In Grid-Connected Direct-Drive Wind Turbines, Libin Wen, Shaopu Tang, Xianfa Hu, Jinji Xi, Tongtong Zhang, Hong Hu, Weijie Zhang
Pattern Identification And Mechanism Analysis Of Nonlinear Oscillations In Grid-Connected Direct-Drive Wind Turbines, Libin Wen, Shaopu Tang, Xianfa Hu, Jinji Xi, Tongtong Zhang, Hong Hu, Weijie Zhang
Journal of System Simulation
Taking a grid-connected direct-drive wind turbine system as an example, a comprehensive model is developed that incorporates nonlinear elements such as prime mover control, machine-side and grid-side converter control, multiple limiters, and control switching. A nonlinear oscillation pattern identification method based on density clustering and manual identification is proposed. The results show that the proposed method can efficiently identify various typical patterns, including quasi-constant amplitude oscillations, period-doubling oscillations, and chaotic oscillations. Oscillations dominated by nonlinear factors such as control switching, limiter collision, and limiter saturation are essentially caused by the transition of the associated components from passive responses to …
Experimental And Simulation Study On Energy Release Of Extended Sources Influenced By Atmospheric Pressure Variation, Kai Guo, Feiyu Zhao, Hao Zhang, Liang Wang, Kai Zhang
Experimental And Simulation Study On Energy Release Of Extended Sources Influenced By Atmospheric Pressure Variation, Kai Guo, Feiyu Zhao, Hao Zhang, Liang Wang, Kai Zhang
Journal of System Simulation
To investigate the energy release characteristics of extended sources in low-pressure environments, a combined experiment and simulation approach was adopted. Four typical altitudecorresponding pressures were selected as experimental conditions. An infrared thermal imager was employed to monitor parameters such as combustion temperature, radiance, and combustion area during the combustion process of the extended source. When the pressure decreases from 101 kPa to 30 kPa, the ignition time of the extended source doubles; the total energy release attenuates by 44.78%, and the combustion area reduces by 45.95%, but the fluctuations of peak temperature and average temperature are less than 3%, …
Object Detection Networks And Their Interpretability In Rain, Fog, And Snow Scenarios, Yanji Jiang, Jiayu Cui, Hao Dong, Daqian Liu, Bowen Fei, Miao Yu, Jinshan Huang
Object Detection Networks And Their Interpretability In Rain, Fog, And Snow Scenarios, Yanji Jiang, Jiayu Cui, Hao Dong, Daqian Liu, Bowen Fei, Miao Yu, Jinshan Huang
Journal of System Simulation
To address the severe degradation of object detection performance under extreme weather conditions, a detection framework based on the Kolmogorov-Arnold theorem, termed KADet, is proposed. A dynamic Kolmogorov-Arnold Transformer is designed, which leverages learnable nonlinear activation functions to enhance the modeling capability for complex distortions introduced by weather degradation. A Kolmogorov-Arnold spatial-channel network is developed by integrating KAT convolution with spatial-channel convolution to strengthen feature learning of relationships between targets and backgrounds in degraded scenes. An improved loss function is introduced to guide the optimization of the activation functions, and interpretability is analyzed through visualization of their curves. …
Feedback Literacy In Colombian High School Students: A Phenomenological Approach, Maria Eugenia Cárdenas, Marcela Valencia Serrano
Feedback Literacy In Colombian High School Students: A Phenomenological Approach, Maria Eugenia Cárdenas, Marcela Valencia Serrano
The Qualitative Report
This study aimed to understand 11th-grade students' experiences with feedback during the first thematic unit of the mathematics class. It was based on the theoretical model of feedback literacy and used a transcendental-phenomenological design to fulfill its purpose. The participants were seven students from a private school in Cali, Colombia. These students were in the first unit of the mathematics class and interviewed in depth. The data analysis had several phases: epoche, horizontalization and units of meaning, textural and structural description, and composite description. We found that students' relation to feedback was characterized by a predominantly passive-receptive role …
Frequency And Radiative Analysis Of Random Yagi-Uhf/Vhf Phased Array, Luis M. Bres, Luis A. Hernandez, Teviet Creighton
Frequency And Radiative Analysis Of Random Yagi-Uhf/Vhf Phased Array, Luis M. Bres, Luis A. Hernandez, Teviet Creighton
Physics & Astronomy Faculty Publications
This study investigates a phased array ground station capable of tracking multiple sources, multi-beamforming, electronic steering, easy scaling, and low cost. The project will develop a 20-pair dual-polarized Yagi-UHF/VHF phased array, comparing the parameters of random and uniform layouts. This study will be divided into two domains: frequency, and radiative domain. The frequency domain will explore the reception and transmission spectra analysis under several scenarios for our antennas. The radiative domain will explore the following: general side lobe analysis across both elevation and azimuth, antenna element sweep analysis, electronic beam steering analysis, electro-mechanical beam steering analysis, array density analysis, and …
Phenomenological Dynamical Mean-Field Theory Of Temperature-Dependent Optical Conductivity And Metal-Insulator Transition In La0.7ca0.3mno3, Listiana Satiawati, Adam Badra Cahaya, Eddwi Hesky Hasdeo, Muhammad Aziz Majidi, Anto Sulaksono, Andrivo Rusydi
Phenomenological Dynamical Mean-Field Theory Of Temperature-Dependent Optical Conductivity And Metal-Insulator Transition In La0.7ca0.3mno3, Listiana Satiawati, Adam Badra Cahaya, Eddwi Hesky Hasdeo, Muhammad Aziz Majidi, Anto Sulaksono, Andrivo Rusydi
Makara Journal of Science
As an extension of our previous theoretical study, we perform temperature-dependent optical conductivity calculations on La0.7Ca0.3MnO3 over a wide photon-energy range up to ∼22 eV, aiming to capture the metal–insulator transition while preserving the general temperature-dependent profile at higher photon energies. The system is modeled with simple Mn–O coordination via the tight-binding method, where some hopping integrals are considered functions of magnetization. Upon incorporating the static Jahn–Teller effect with Coulomb–Hubbard and magnetic exchange interactions, with the exception of a quantitative difference in the calculated of K versus the experimental value (260 K) and discrepancies in …
Lafe0.925ti0.075o3 Perovskite Coated With Ethyl Cellulose: A High-Stability, Low-Hysteresis Platform For Advanced Humidity Sensing, Akhmad Futukhillah Fataba Alaih, Djoko Triyono, Rifqi Almusawi Rafsanjani
Lafe0.925ti0.075o3 Perovskite Coated With Ethyl Cellulose: A High-Stability, Low-Hysteresis Platform For Advanced Humidity Sensing, Akhmad Futukhillah Fataba Alaih, Djoko Triyono, Rifqi Almusawi Rafsanjani
Makara Journal of Science
Humidity sensors are pivotal in numerous sectors, such as environmental monitoring, industrial automation, and health-care. This study presents the fabrication and detailed evaluation of an advanced humidity sensor using ethyl cellulose (EC)-coated LaFe0.925Ti0.075O3 (LFTO) perovskite nanoparticles synthesized via the sol-gel method. The LFTO nanopar-ticles exhibited a mesoporous structure with an enhanced surface area, which significantly improved their moisture adsorption capabilities. The innovative application of EC coating addresses critical substrate adhesion issues, enhancing mechanical stability without compromising sensor sensitivity. Comprehensive performance evaluations revealed minimal hysteresis (
Microplastic Analysis In Fish Larvae (Family: Gonostomatidae And Myctophidae) From The Banggai Sea, Indonesia, Noer Kholis, Luqman Ilyas Ardito, Luqmanul Hakim, Augy Syahailatua, Agus Saleh Atmadipoera, Rina Zuraida, Tuan Nurul Sabiqah Tuan Anuar, Mufti Petala Patria
Microplastic Analysis In Fish Larvae (Family: Gonostomatidae And Myctophidae) From The Banggai Sea, Indonesia, Noer Kholis, Luqman Ilyas Ardito, Luqmanul Hakim, Augy Syahailatua, Agus Saleh Atmadipoera, Rina Zuraida, Tuan Nurul Sabiqah Tuan Anuar, Mufti Petala Patria
Makara Journal of Science
Microplastic pollution is recognized as a threat to marine ecosystems, yet its impacts on early life stages of mesopelagic fishes remain poorly understood. This study investigated the occurrence and characteristics of microplastic ingestion in fish larvae of the families Myctophidae and Gonostomatidae from the Banggai Sea, Indonesia. Morphometric measurements and microplastic content were analyzed in 40 larvae (20 per family). Gonostomatidae larvae, despite being smaller in total length, exhibited significantly larger mouth widths and ingested more microplastic particles (mean = 3.90 ± 0.72 particles) than Myctophidae (mean = 3.40 ± 0.38 particles). Correlation analysis showed no significant relationships between morphometric …
In Silico And Toxicological Evaluation Of Crescentia Cujete Aqueous Extract: Potential Anticancer Activity Against Breast Cancer, Rahma Diyan Martha, Fatimah Fatimah, Syahputra Wibowo, Bantari Wisynu Kusuma Wardhani, Josephine Elizabeth Siregar, Elisabeth Farah Novita Coutrier, Alfia Fitrianita, Andri Pramesyanti Pramono, Ita Margaretha Nainggolan, Yudhi Nugraha, Danar Danar, Naufal Abiyyu, Lalu Unsunnidhal, Aswin Rafif Khairullah, Arif Nur Muhammad Ansori, Hesty Parbuntari, Wimbuh Tri Widodo
In Silico And Toxicological Evaluation Of Crescentia Cujete Aqueous Extract: Potential Anticancer Activity Against Breast Cancer, Rahma Diyan Martha, Fatimah Fatimah, Syahputra Wibowo, Bantari Wisynu Kusuma Wardhani, Josephine Elizabeth Siregar, Elisabeth Farah Novita Coutrier, Alfia Fitrianita, Andri Pramesyanti Pramono, Ita Margaretha Nainggolan, Yudhi Nugraha, Danar Danar, Naufal Abiyyu, Lalu Unsunnidhal, Aswin Rafif Khairullah, Arif Nur Muhammad Ansori, Hesty Parbuntari, Wimbuh Tri Widodo
Makara Journal of Science
Majapahit plant (Crescentia cujete), commonly found in Indonesia, has not been extensively explored for its medicinal properties. Given that many cancer treatments are derived from plants, this study aimed to examine the effects of plants on cancer chemical composition of the C. cujete fruit pulp extract, identify its primary compounds, and assess its potential as an antioxidant, anticancer agent, particularly for breast cancer. An insilico approach was used to evaluate the toxicity and interactions, of the compounds with cancer biomarker proteins, in addition to an in vivo Brine Shrimp Lethality Test (BSLT) for BSLT, toxicity screening using six …
Screening For The Suitable Signal Peptide For Secreted Nattokinase Expression In E. Coli Using An In Silico Approach: Precursor Vs. Mature Forms, Dewi Purwani Caya Ningsih, Kartika Sari Dewi, I Wayan Martadi Santika, Ade Andriani, Joko Pebrianto Trinugroho, Muhammad Yusuf
Screening For The Suitable Signal Peptide For Secreted Nattokinase Expression In E. Coli Using An In Silico Approach: Precursor Vs. Mature Forms, Dewi Purwani Caya Ningsih, Kartika Sari Dewi, I Wayan Martadi Santika, Ade Andriani, Joko Pebrianto Trinugroho, Muhammad Yusuf
Makara Journal of Science
Nattokinase (NK), an enzyme with thrombolytic activity, has been widely used in treating cardiovascular disease. The expression of NK in the E. coli cell host is favored due to its several benefits, though it often results in inclusion bodies. Appropriate signal peptides can be attached to the N-terminus of a protein to initiate a secretory expression system, thus preventing the nascent protein from aggregating in the cytoplasm. This study aimed to identify suitable signal peptides for the secretory expression of active NK in E. coli and to investigate the impact of pre-protein in NK secretion using an in silico approach. …
Geothermal Energy In Utah: A Safe Technology With Limited Environmental Impacts, Joseph Harding, Kendall Becker, Logan Mitchell, Jennifer Bodine, Scott Hotaling
Geothermal Energy In Utah: A Safe Technology With Limited Environmental Impacts, Joseph Harding, Kendall Becker, Logan Mitchell, Jennifer Bodine, Scott Hotaling
All Current Publications
Geothermal energy has the potential to transform Utah’s electricity landscape, driving a future with improved air quality, lower carbon emissions, and fewer environmental impacts. In this fact sheet, we provide an overview of geothermal energy and its potential environmental implications in Utah. We highlight that recent geothermal projects in Utah do not use fresh water and that new well designs are expected to reduce the consumption of salty, brackish water. If these efforts are successful, geothermal energy would have lower water consumption, reduced seismic risk, and a similarly low land-use footprint compared to fossil fuel sources of electricity.
Contextualized Classroom Management For Local Philippine Higher Education: A Faculty-Driven Framework, Jestoni Pueblos Babia
Contextualized Classroom Management For Local Philippine Higher Education: A Faculty-Driven Framework, Jestoni Pueblos Babia
Irish Journal of Academic Practice
Higher education classroom management is now recognized as an essential policy and pedagogical issue, especially in the Philippines, where local universities serve the diverse needs of Generation Z students. Participatory Action Research with 50 faculty members from a local university supports this study in developing a faculty-driven classroom management framework. Guided by Bandura's social learning theory, this framework emphasizes student involvement, restorative discipline, inclusion, digital integration, teacher leadership and institutional support. It draws on learning theory, Vygotsky's sociocultural theory, Deci and Ryan's self-determination theory, and Bronfenbrenner's ecological systems theory, among others. Results indicate that systems combining faculty creativity with consistent …