Digital Commons Network^™

Secrets Of Successful Women Inventors: How They Swam With The Sharks And Hundreds Of Other Ways To Commercialize Your Own Inventions. Edith G. Tolchin, Square One Publishers, 2024., Suzanne Reinman

Journal of the Patent and Trademark Resource Center Association

No abstract provided.

Assessing The Effects Of Repetitive Mild Traumatic Brain Injury On Risk/Reward Decision Making And Catecholamine Associated Proteins, Christopher Knapp

Theses and Dissertations

Mild traumatic brain injury (mTBI) disrupts cognitive processes that influence risk taking behavior; however, the effects of repetitive mild injury (rmTBI) or whether these outcomes are sex specific are unknown. Risk/reward decision making is mediated by the prefrontal cortex (PFC), which is densely innervated by catecholaminergic fibers. Aberrant PFC catecholamine activity has been documented following TBI and may underlie TBI-induced risky behavior. Here, we exposed rats to sham (no injury), single, or three closed-head controlled cortical impact (CH-CCI) injuries to characterize the effects of rmTBI on 1) risk/reward decision making behavior using a probabilistic discounting task (PDT) and 2) levels …

Just-In-Time Learning Energy Consumption Predictive Modeling Method In Multi-Condition Production Process, Sheng Wei, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the problem that the global energy consumption prediction model is only suitable for part of the prediction sample and the model is computationally intensive, the idea of just-in-time learning is introduced, and the local weighted partial least squares method combined with the energy consumption model is used to establish a temporary local energy consumption prediction model. The inertia weights of the particle swarm algorithm are improved, considering the effects of particle fitness, number of iterations and population size on the convergence speed and convergence accuracy of the particle swarm algorithm, a nonlinear change adaptive inertia weight strategy …

Completion Time Simulation Prediction Method For Aircraft Assembly Process With Batch And Sortie, Changjian Jiang, Hu Fan, Tao Luo, Wen Yuan, Zehao He

Journal of System Simulation

Abstract: Aiming at the product differentiation analysis limitation of traditional discrete event simulation method, a simulation prediction method for aircraft assembly process with batch and sortie is proposed. Around the aircraft sortie number, the formal definition of various basic elements and interactions in the assembly process with batch and sortie is studied, and the construction of station and whole line simulation model is carried out. The simulation promotion framework and execution mechanism supporting the product differentiation analysis are studied. Based on the simulation results, a method for predicting the completion time of sorties based on interval estimation method is proposed. …

Adaptive Pid Control Algorithm Based On Ppo, Zhiyong Zhou, Fei Mo, Kai Zhao, Yunbo Hao, Yufeng Qian

Journal of System Simulation

Abstract: A six-axis robotic arm is built and simulated in a complex control environment with disturbances by using MATLAB physics engine and Python, which provides a trial-and-error environment for the robotic arm training that could not be provided in reality. Proximal policy optimization(PPO) algorithm in reinforcement learning is proposed to improve the traditional PID control algorithm. By introducing the multi-agent idea and on the basis of the different effects of the three parameters of PID on control system and the characteristics of the six-axis robotic arm, the three parameters are separately trained as different intelligent individuals to achieve a new …

Fusing Rotation Angle Coding In Spherical Space For Human Action Recognition, Benyue Su, Bangguo Zhu, Mengjuan Guo, Min Sheng

Journal of System Simulation

Abstract: The existing human action recognition methods focus more on the translation information such as the coordinates and displacements of skeleton structure, and pay less attention to the motion trend of skeleton structure and the rotation information representing the motion direction of joints and bones. A spatio-temporal convolutional neural network method combining the rotation angle coding in spherical space is introduced. The angle information with scale invariance is obtained by mapping the human action in three-dimensional spherical space, and the dynamic angular velocity information is extracted as the angle code to represent the rotation information of joints and bones in …

Design Of Real-Time Simulation & Test Software Based On Windows/Rtx, Yongbo Li, Runmei Tian, Hui Zhang, Shanpeng Guo, Qi Li

Journal of System Simulation

Abstract: Aiming at the limited real-time performance of traditional test software and the low generality of traditional simulation interface software, a real-time simulation software based on Windows/RTX is designed to meet the requirements of unit testing and control system simulation verification of semiphysical simulation software. Through modular design, GUI layer human-computer interface and RTX layer real-time operation program are developed. To ensure the real-time, the lock-free cyclic buffer plus dual-threading technology is used to solve the timeout problem of serial data transmission and reception when the simulation step size is 1 ms under RTX environment. A timeout detection algorithm is …

Cooperative Ant Colony Algorithm Combining Evaluation Reward And Punishment Mechanism And Neighborhood Dynamic Degradation, Yujie Wang, Xiaoming You, Sheng Liu

Journal of System Simulation

Abstract: To address the slow convergence and the tendency to fall into local optimality in solving TSP, a cooperative ant colony algorithm combining evaluation reward and punishment mechanism and neighborhood dynamic degradation (ENCACO) is proposed. The paths are classified into active and abandon paths according to the path evaluation value, and with the path evaluation value as the weight, the different pheromone reward and punishment strategies are adopted for the two types of paths to accelerate the convergence speed of the algorithm. Through the neighborhood dynamic degradation strategy, and the neighborhood radius is used to divide the set of cities …

Construction Of A Virtual Interactive System For Orchards Based On Digital Twin, Hongjun Wang, Junqiang Lin, Xiangjun Zou, Po Zhang, Mingxuan Zhou, Weirui Zou, Yunchao Tang, Lufeng Luo

Journal of System Simulation

Abstract: Aiming at the low visibility, poor real-time, weak adaptability and single interaction mode in orchard planting management system, a six-dimensional model of orchard digital twin system for planting management process is proposed. The system model construction theory and technology system is discussed from four aspects, entity modeling of management elements, dynamic modeling of management process, simulation modeling of management system and optimization modeling of management strategy. Based on the six-dimensional model, supported by the theory and technology system, the virtual interactive system architecture of the orchard based on the digital twin is designed, and the key technologies of the …

Internet Distribution Consent Agreement To Digitize Print Theses And Dissertations, Digital Initiatives

Libraries' Documents

No abstract provided.

Black Men Who Participate In An Urban Community College Men Of Color Initiative: A Phenomenological Study, Steven Hardy

Theses and Dissertations

This phenomenological study explored the perceptions and experiences of Black men who participated in the MOCI. The study uncovered insights into what aspects of the program were effective and where improvements could be made according to the student participants. Employing a phenomenological design, the research identified commonalities among the participants' experiences (Creswell & Creswell, 2018; Moustakas, 1994; Rubin & Rubin, 2012). The structure of understanding surrounding participants in the MOCI program was meticulously facilitated using phenomenology (Creswell & Creswell, 2018). The interviews were not just semi-structured but also empathetic, with prepared open-ended questions followed by probing inquiries, all aimed at …

Study Of Modified Salinomycin Analogs On Inhibition Of Triple Negative Breast Cancer Metastasis And Invasion, Farnaz Malekmarzban

Theses and Dissertations

Triple negative breast cancer (TNBC) is a more aggressive type of breast cancer which contains faster growth, higher metastasis rate and worse prognosis. The main challenge toward treatment of this type of cancer is being heterogeneous. Recently, Salinomycin (SAL) has been considered as a potential agent for triple negative breast cancer treatment. However, chemical modification of SAL is needed to improve SAL selectivity to cations and decrease its cytotoxicity. The purpose of this study was to evaluate the effect of chemically modified analogs of SAL on the viability, metastasis, Wnt pathway as well as angiogenesis of Triple negative breast cancer …

Updated Catalog Of Kepler Planet Candidates: Focus On Accuracy And Orbital Periods, Jack J. Lissauer, Jason F. Rowe, Daniel Jontof-Hutter, Daniel C. Fabrycky, Eric B. Ford, Darin Ragozzine, Jason H. Steffen, Kadri M. Nizam

Pacific Faculty Work

We present a new catalog of Kepler planet candidates that prioritizes accuracy of planetary dispositions and properties over uniformity. This catalog contains 4376 transiting planet candidates, including 1791 residing within 709 multiplanet systems, and provides the best parameters available for a large sample of Kepler planet candidates. We also provide a second set of stellar and planetary properties for transiting candidates that are uniformly derived for use in occurrence rate studies. Estimates of orbital periods have been improved, but as in previous catalogs, our tabulated values for period uncertainties do not fully account for transit timing variations (TTVs). We show …

Development Of Jetty Structure Design Procedures At The Schematic Design Stage With The Implementation Of Computational Design And Building Information Modelling To Improve Design Time Performance, Aidil Fitriansyah, Yusuf Latief

CSID Journal of Infrastructure Development

The construction sector faces persistent productivity challenges, significantly hindering the efficiency of design workflows. Computational Design (CD) and Building Information Modeling (BIM) offer potential solutions. CD enables the exploration of parametric design alternatives, while BIM enhances collaboration, visualization, and decision-making through comprehensive 3D models. This study aimed to investigate the processes and activities involved in the structural design of jetties during the schematic design phase using CD and BIM and to assess the impact of these activities on design time performance. A comprehensive analysis of secondary data was carried out, interviews were conducted with design experts, and quantitative analysis using …

Advancing Construction Practices: Innovations, Efficiency, And Safety In The Digital Era, Mohammed Ali Berawi, Perdana Miraj, Mustika Sari

CSID Journal of Infrastructure Development

In the ever-changing landscape of the construction industry, digital tools and procedures are a cornerstone of architectural and engineering practices. Building Information Modeling (BIM) and other computational design methodologies transform how projects are imagined, planned, and executed. These tools improve design precision while allowing real-time collaboration across different teams. As a result, adopting digital approaches is no longer an option but rather a requirement for remaining competitive in the construction industry. These innovative approaches provide an in-depth understanding of project complexities, drive design optimization, and contribute to resource management efficiency.

Construction efficiency has also improved due to lean manufacturing processes …

The Role Of Stakeholder Involvement In Enhancing Safe Drinking Water Infrastructure: An Interpretative Structural Modeling Approach, Awlya Rahmanea, Ayomi Dita Rarasati

CSID Journal of Infrastructure Development

One of the primary goals listed in the Sustainable Development Goals (SDGs) is to “Achieve universal and equitable access to safe and affordable drinking water for all,” as stated in SDG 6.1. To obtain this goal, the Government of Indonesia has developed the 2020-2024 National Medium-Term Development Plan (RPJMN), which has set specific targets including achieving 100% access to decent drinking water, 15% access to safe drinking water, and establishing 10 million house connections. The Ministry of National Development Planning has established a goal of achieving 45% access to safe drinking water by 2030 as part of the SDGs. However, …

The Most Influential Factors On The Risk Cost Estimation Process Of Implementing Bim 5d In Quantity Take-Off For Green Retrofitting Of High-Rise Buildings, Febrianti Silviana Dewi, Yusuf Latief, Bernadette Detty Kussumardianadewi

CSID Journal of Infrastructure Development

Green retrofitting aims to guide buildings toward sustainable practices, reducing carbon emissions associated with building operations and construction. This study explores the application of Building Information Modeling (BIM) 5D Quantity Take-Off (QTO) to existing high-rise buildings, focusing on components that enhance the performance of environmentally friendly structures and project management. This research identifies the factors influencing the cost estimation process and examines the risks across various phases, activities, outputs, and utilization of BIM 5D in cost estimation. The study highlights the most influential factors in implementing green retrofitting for high-rise buildings using structured interviews, questionnaires, and expert validation. The analysis …

Strategies For Resilient Build Back In The Post-Flood Era: An Ahp-Dematel Technique, Muhammad Tahir, Mohd Fadzil Bin Mohd Idris

CSID Journal of Infrastructure Development

Pakistan suffered from devastating floods in 2022, causing extensive infrastructural, economic, social, and other damages. Effective risk management was notably absent in the country. Therefore, this paper identifies critical factors influencing the build-back-better (BBB) framework and resilience building. The evaluation of various strategies for risk reduction in infrastructure during floods, ensuring its resilience, is also addressed. This study employs Multi-Criteria Decision Making (MCDM) techniques, specifically the Analytic Hierarchy Process (AHP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL), to assess critical factors in BBB in the context of devastating floods. The AHP analysis effectively ranked the identified factors based on …

Retracted: Empowerment Of Increasing Economic Resilience Post Covid-19 Janjang Wulung Village Community Through Creative Economic Village Planning, Alvian Wardhana, Muhammad Ramayuda, Faza Farhan Muhammad, Acyuta Putri Nariswari, Salsa Dwi Cahya, Garin Ardi Wicaksono, Dani Rizky Dianafi, Muhammad Ivan

CSID Journal of Infrastructure Development

This article has been retracted at the request of the authors.

Reason:

1. Conflict of interest for using an open database under the assignment of “Studio Desa” on the odd semester 2020/2021 at Perencanaan Wilayah dan Kota, Universitas Brawijaya

2. The plaintiff's consideration comes from another researcher under the assignment of “Studio Desa” related to the reconstruction of Journal results and development

3. Avoid bigger conflicts, especially those related to all parties, including authors, Plaintiff parties, institutions, and all parties involved

The Publisher

Comparison Of The Accuracy Of Contour Data In Photogrammetric And Terrestrial Surveys, Hendra Saputra, Roma Rizki, Marhadi Sastra

CSID Journal of Infrastructure Development

Understanding and accurately representing the Earth's surface is crucial in various scientific and practical fields. Over the past decades, measurement technology has seen remarkable advancements, offering an array of methods for recording and analyzing Earth's surface with increasing precision and efficiency. Two primary approaches have risen to the forefront of this field: the Digital Terrain Model (DTM) and terrestrial measurements using a Total Station. Although both technologies offer unique advantages and constraints, a comprehensive direct comparison between these two methods often remains an underexplored area. The Digital Elevation Model (DEM) represents the height of the ground surface resulting from acquisition …

Frank Nellom V. Commissioner Of Social Security

2024 Decisions

USDC for the Eastern District of Pennsylvania

Anthropogenic Events And Responses To Environmental Stress Are Shaping The Genomes Of Ethiopian Indigenous Goats., Shumuye Belay, Gurja Belay, Helen Nigussie, Abulgasim M Ahbara, Abdulfatai Tijjani, Tadelle Dessie, Getinet M Tarekegn, Han Jian-Lin, Siobhan Mor, Helina S Woldekiros, Keith Dobney, Ophelie Lebrasseur, Olivier Hanotte, Joram M Mwacharo

Faculty Research 2024

Anthropological and biophysical processes have shaped livestock genomes over Millenia and can explain their current geographic distribution and genetic divergence. We analyzed 57 Ethiopian indigenous domestic goat genomes alongside 67 equivalents of east, west, and north‑west African, European, South Asian, Middle East, and wild Bezoar goats. Cluster, ADMIXTURE (K = 4) and phylogenetic analysis revealed four genetic groups comprising African, European, South Asian, and wild Bezoar goats. The Middle Eastern goats had an admixed genome of these four genetic groups. At K = 5, the West African Dwarf and Moroccan goats were separated from East African goats demonstrating a likely …

Front Matter, Naya Sucha-Xaya

Journal of Letters

No abstract provided.

Simulation Of Robotic Peg-In-Hole Assembly Strategy Based On Drl, Zilu Zhu, Yongkui Liu, Lin Zhang, Lihui Wang, Tingyu Lin

Journal of System Simulation

Abstract: Aiming at the existing peg-in-hole assembly method problems of dependence on accurate contact state models, difficulties in data acquisition, low sampling efficiency, and poor security, a simulation research method for robot peg-in-hole assembly strategy based on DRL is proposed. A simulation environment of robot peg-in-hole assembly based on ROS-Gazebo is built, and a method of gravity compensation for force/torque sensor based on a least square method is proposed. The reinforcement learning paradigm is employed to model the robot peg-in-hole assembly, and a method based on soft actor-critic(SAC) algorithm is proposed. The communication mechanism between the simulation environment and the …

Blue Notes, June 28, 2024 (Issue 2024-08), Illinois State University, Department Of Chemistry

Blue Notes

Newsletter of the Illinois State University Department of Chemistry

Laurel Gardens Llc V. Timothy Mckenna

2024 Decisions

USDC for the Eastern District of Pennsylvania

Rene Bautista-Rosales V. Attorney General United States Of America

2024 Decisions

Agency

In Re: Judeau Brown, Jr.

2024 Decisions

USDC for the District of Delaware

Terry Dor V. Td Bank

2024 Decisions

USDC for the District of New Jersey

Neural Circuits Expressing The Serotonin 2c Receptor Regulate Memory In Mice And Humans, Hesong Liu, Yang He, Hailan Liu, Bas Brouwers, Na Yin, Katherine Lawler, Julia M. Keogh, Elana Henning, Dong Kee Lee, Meng Yu, Longlong Tu, Nan Zhang, Kristine M. Conde, Junying Han, Zili Yan, Nikolas A. Scarcelli, Lan Liao, Jianming Xu, Qingchun Tong, Hui Zheng, Zheng Sun, Yongjie Yang, Chunmei Wang, Yanlin He, I. Sadaf Farooqi, Yong Xu

Division of Basic Science Faculty Publications

Declined memory is a hallmark of Alzheimer’s disease (AD). Experiments in rodents and human postmortem studies suggest that serotonin (5-hydroxytryptamine, 5-HT) plays a role in memory, but the underlying mechanisms are unknown. Here, we investigate the role of 5-HT 2C receptor (5-HT2CR) in regulating memory. Transgenic mice expressing a humanized HTR2C mutation exhibit impaired plasticity of hippocampal ventral CA1 (vCA1) neurons and reduced memory. Further, 5-HT neurons project to and synapse onto vCA1 neurons. Disruption of 5-HT synthesis in vCA1-projecting neurons or deletion of 5-HT2CRs in the vCA1 impairs neural plasticity and memory. We show that a selective 5-HT2CR agonist, …