Digital Commons Network^™

Artificial Intelligence In Cardiology: An Australian Perspective, Biyanka Jaltotage, Abdul R. Ihdayhid, Nick S. R. Lan, Faraz Pathan, Sanjay Patel, Clare Arnott, Gemma Figtree, Leonard Kritharides, Syed M. S. Islam, Clara K. Chow, James M. Rankin, Stephen J. Nicholls, Girish Dwivedi

Research outputs 2022 to 2026

Significant advances have been made in artificial intelligence technology in recent years. Many health care applications have been investigated to assist clinicians and the technology is close to being integrated into routine clinical practice. The high prevalence of cardiac disease in Australia places overwhelming demands on the existing health care system, challenging its capacity to provide quality patient care. Artificial intelligence has emerged as a promising solution. This discussion paper provides an Australian perspective on the current state of artificial intelligence in cardiology, including the benefits and challenges of implementation. This paper highlights some current artificial intelligence applications in cardiology, …

Challenges In Optimization For The Performance On Sustainability Dimensions In Reverse Logistics Social Responsibility, Sumarsono Sudarto, Katsuhiko Takahashi, Mochammad Dewo

Makara Journal of Technology

Reverse logistics social responsibility is preferred as the most acceptable solution for addressing the challenges in stakeholders’ debate regarding social responsibility in supply chains because it involves as many actors as possible in the supply chain to perform social responsibility to achieve sustainability. This paper explores the challenges in achieving optimal policies in sustainability dimensions for collection and recycling facilities in reverse logistics. Sustainability dimensions include economic, environmental, and social aspects. The reverse logistics is modeled on System Dynamics, and a simplified statistical analysis using a contour chart is employed in numerical experiments. Results show a narrow area of optimal …

A Student Induction Program’S Impact On Young “Techies’” Purpose In Life And Its Effects On Their Well-Being: A Case Study Of Telangana, India, Ankit Shah

Dissertations

India's higher education system aims to develop well-rounded individuals with intellectual curiosity, a spirit of service, and a strong ethical foundation. However, the current state of technical higher education in India is criticized for mono-disciplinarity and rigid boundaries that do not provide an appropriate context for developing socially conscious individuals who make productive contributions to society. To address this growing concern, the Department of Higher Education in India introduced the Student Induction Program (SIP). The primary objective of the SIP is to foster purpose, which is not only meaningful to the students themselves but also to their nation; as such, …

Local Labor Markets Exposure To Artificial Intelligence, Greg Call

Dissertations

As more evidence builds that artificial intelligence (AI) is a new general-purpose technology driving a fourth industrial revolution, scholars have begun to consider its potential impact on labor markets. The current debate among researchers is centered on whether AI will ultimately produce net new job gains or losses and what type of workers will benefit or be displaced. While no consensus has developed yet within the literature on AI’s predicted net employment impact, a majority of studies are forecasting that a skill-biased technological change will occur.

This exploratory study contributes to the current literature by operationalizing Webb’s objective patent-based AI …

Equity In The Math Classroom How Math Teachers Can Achieve Equity Despite District’S Budget, Tony Edward Kohanek

School of Education and Leadership Student Capstone Projects

American pedagogical theorist and teacher educator, Gloria Ladson-Billings, has done the research and shown how impactful the achievement gap is as it is “one of the most pressing education-policy challenges that the states are facing” (Ladson-Billings, 2006). What makes this issue such a problem is that students don’t even need to be in school for it to appear as noted by Andy Porter of Penn State’s GSE (Graduate School of Education). He states that by the time children reach the age of three or four, there’s already a one standard deviation achievement gap between white children and POC, people of …

An Animated Introduction To Digital Logic Design, John D. Carpinelli

Open and Affordable Textbooks

There is a newer edition of this textbook available here.

This book is designed for use in an introductory course on digital logic design, typically offered in computer engineering, electrical engineering, computer science, and other related programs. Such a course is usually offered at the sophomore level. This book makes extensive use of animation to illustrate the flow of data within a digital system and to step through some of the procedures used to design and optimize digital circuits.

All of the animations for this book can be found here: https://digitalcommons.njit.edu/dld-animations/

The Effects Of Boric Acid On The Water Solubility Of Glass Ionomer Cements, Banu Cukurluoz Bayındır, İrem Bağ

Journal of Dentistry Indonesia

Changing the water solubility property of glass ionomer cement (GIC), which is frequently used in pediatric dentistry, is the starting point of this study. Objective: To evaluate the effects of boric acid on the water solubility (WS) of GIC. Methods: The samples were prepared as n=12 in each of four groups: GIC-Conventional glass ionomer cement; BGIC with 1:3 boric acid added to conventional GIC powder; RMGIC-resin-modified glass ionomer cement; BRMGIC with 1:3 boric acid added to RMGIC powder. Weight changes were compared 1, 3 and 24 h after keeping in distilled water. One sample in each group was …

Can I Live: Examining The Self-Worth Of Black Men Enrollment In Community College, Lavon Williams

Journal of Research Initiatives

T

This study aimed to describe Black men’s self-worth and lived experience in community college. According to research, community colleges are the first option for many Black men. Through qualitative research methods, this study examines the believed self-worth of Black men enrolled in community college and matches its findings to Jay Z’s (1998) classic song Can I Live. Findings from this study identify the internal fight Black men have pursuing an education as a means to achieve upward mobility. Lastly, this study provides insight to aid policymakers, higher education practitioners, and Black families to understand better how to address Black …

Pan-Cancer Analysis Of Post-Translational Modifications Reveals Shared Patterns Of Protein Regulation, Yifat Geffen, Shankara Anand, Yo Akiyama, Tomer M Yaron, Yizhe Song, Jared L Johnson, Akshay Govindan, Özgün Babur, Yize Li, Emily Huntsman, Liang-Bo Wang, Chet Birger, David I Heiman, Qing Zhang, Mendy Miller, Yosef E Maruvka, Nicholas J Haradhvala, Anna Calinawan, Saveliy Belkin, Alexander Kerelsky, Karl R Clauser, Karsten Krug, Shankha Satpathy, Samuel H Payne, D R Mani, Michael A Gillette, Saravana M Dhanasekaran, Mathangi Thiagarajan, Mehdi Mesri, Henry Rodriguez, Ana I Robles, Steven A Carr, Alexander J Lazar, François Aguet, Lewis C Cantley, Li Ding, Gad Getz, Clinical Proteomic Tumor Analysis Consortium

Faculty, Staff and Student Publications

Post-translational modifications (PTMs) play key roles in regulating cell signaling and physiology in both normal and cancer cells. Advances in mass spectrometry enable high-throughput, accurate, and sensitive measurement of PTM levels to better understand their role, prevalence, and crosstalk. Here, we analyze the largest collection of proteogenomics data from 1,110 patients with PTM profiles across 11 cancer types (10 from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium [CPTAC]). Our study reveals pan-cancer patterns of changes in protein acetylation and phosphorylation involved in hallmark cancer processes. These patterns revealed subsets of tumors, from different cancer types, including those with …

Women, Children, And Tobacco, Desti Yuwastina

JURNAL KOMUNIKASI INDONESIA

Tobacco has been a well-known commodity in Indonesia, especially since kretek has attracted immense attention to be sold internationally. Both tobacco farms and tobacco industry have also been subjected to the undesirable circumstances of tobacco within the range of national and international frameworks. This research aspires to uncover the health perspective of tobacco smoking activities by underpinning the questionable way of nurturing children in the surroundings of tobacco as a way of protection towards the future of the tobacco industry. In order to unravel the novelty of the research on the subordinate roles of women and children, an enormous proportion …

Government Domination On Television Digital Migration Regulation In Indonesia, Feni Fasta, Ade Armando, Pinckey Triputra

JURNAL KOMUNIKASI INDONESIA

This study aims to analyze the migration from analog television to digital television in Indonesia, which has been going on for more than a decade. One of them is the issue of multiplexing management rules. This multiplexing should be used for the benefit of the public because it uses public frequency. Researchers assume that there is government domination in determining policies that accommodate the interests of investors with significant capital and ignore the public interest, including the interests of small investors in the broadcasting industry. This study analyzes various regulations related to digital migration using critical policy analysis methods. The …

Wearable Biosensor With Molecularly Imprinted Conductive Polymer Structure To Detect Lentivirus In Aerosol, Jaskirat Singh Batra, Ting-Yen Chi, Mo-Fan Huang, Dandan Zhu, Zheyuan Chen, Dung-Fang Lee, Jun Kameoka

Faculty, Staff and Student Publications

The coronavirus disease (COVID-19) pandemic has increased pressure to develop low-cost, compact, user-friendly, and ubiquitous virus sensors for monitoring infection outbreaks in communities and preventing economic damage resulting from city lockdowns. As proof of concept, we developed a wearable paper-based virus sensor based on a molecular imprinting technique, using a conductive polyaniline (PANI) polymer to detect the lentivirus as a test sample. This sensor detected the lentivirus with a 4181 TU/mL detection limit in liquid and 0.33% to 2.90% detection efficiency in aerosols at distances ranging from 30 cm to 60 cm. For fabrication, a mixture of a PANI monomer …

Cooling Infrastructure, Cooling Security, And A Warming World, David A. Dana

NULR Online

No abstract provided.

Climate Change And The Law Of National Security Adaptation, Mark Nevitt

NULR Online

No abstract provided.

Validation Of A Biomechanical Injury And Disease Assessment Platform Applying An Inertial-Based Biosensor And Axis Vector Computation, Wangdo Kim, Emir A. Vela, Sean S. Kohles, Victor Huayamave

Publications

Inertial kinetics and kinematics have substantial influences on human biomechanical function. A new algorithm for Inertial Measurement Unit (IMU)-based motion tracking is presented in this work. The primary aims of this paper are to combine recent developments in improved biosensor technology with mainstream motion-tracking hardware to measure the overall performance of human movement based on joint axis-angle representations of limb rotation. This work describes an alternative approach to representing three-dimensional rotations using a normalized vector around which an identified joint angle defines the overall rotation, rather than a traditional Euler angle approach. Furthermore, IMUs allow for the direct measurement of …

Maternal Factors Influencing Postpartum Depression In Indonesia, Nurhalina Sari, Nova Muhani, Friska Novira Maya Dewi

Kesmas

The estimated prevalence of postpartum depression differs in developed and developing countries. Due to the increasing number of cases in developing countries like Indonesia, postpartum depression has become a serious issue. This study aimed to identify factors influencing postpartum depression in Bandar Lampung, Indonesia, in 2023 using the Edinburgh Postnatal Depression Scale instrument. This study employed a cross-sectional design with a sample size of 251 respondents, selected based on inclusion and exclusion criteria using a purposive sampling technique. The multiple logistic regression results indicated that women with abortion records had a three times higher risk (95% CI = 1.394–7.648; p-value …

Obtaining Sweet Molasses By The Method Of Hydromechanical And Enzymatic Processing Of Grain, Sadritdin Maxamatdinovich Turabdjanov, Kamoliddin Ahmadjonovich Mahmudov, Bexzod Alisherovich Kasimov, Kasun Dissanayake Kumara

Chemical Technology, Control and Management

Methods of hydrolysis of grains to starch under the influence of hydrodynamic and enzymatic processes are logically based. Polysaccharides derived from starchy grains are known and popular in the food industry for their thickening and stabilizing properties. To date, studies that allow for a deeper understanding of the mechanism of interaction of polysaccharide-containing products with their main components, the effect on the set of rheological, organoleptic, physico-chemical properties of food products that determine their functions are relevant.

Electromagnetic Current Transducer For Control Of Reactive Power Consumption Of An Asynchronous Motor From A Single-Phase Supply Of Renewable Energy Source, Llhomjon Xakimovich Siddikov, Saidikrom Saidmurodovich A'Zamov, Dilyorbek Doniyorbek O'G'Li Karimjonov

Chemical Technology, Control and Management

In the world, the demand for electricity and its quality is increasing, in order to further increase the share of renewable energy sources, the reactive power that generates the magnetic field and current in asynchronous motors, which consumes more than 60% of the electricity generated from them and provided by them The research of electromagnetic current transformers, which allows controlling the consumption, evaluating the asymmetry and nonsinusoidal indicators of reactive power and energy, remotely sensing and measuring these quantities with appropriate devices, and converting them into a standard signal, is considered an urgent issue . The research results of the …

Mathematical Model Of An Industrial Robot Built On The Basis Of Linear Motion Mechatron Modules, Matyokubov Nurbek Rustamovich, Rakhimov Temurbek Omonboyevich

Chemical Technology, Control and Management

The use of Industry 4.0 technologies in modern production serves to increase production efficiency. Robots and robotic complexes with innovative intelligent control are widely used in industrial production. However, studying their mechanical part, linear motion mechatronic modules and control system is a complex object. The variety and complexity of control methods and operating modes negatively affects the operator's working time and production productivity. In such cases, it is necessary to improve control methods and develop technologies used in industry, including robots and robotic manipulators, which allow to perform short movements with high accuracy and speed. In the article, the mathematical …

The Morphology Analysis Of Soil In Remote Sensing Image Processing, Mirzayan Mirzaaxmedovich Kamilov, Mirzaakbar Xakkulmirzayevich Hudayberdiev, Bobomurod Mamitjonovich Tojiboev

Chemical Technology, Control and Management

This article analyzed various techniques used in satellite image processing to analyze soil morphology. Analysis of soil morphology using satellite imagery plays a crucial role in soil science research, Land Management, and environmental monitoring. It provides an economical and efficient means of studying large-scale soil variability, providing information on land sustainable use, resource management and soil conservation decisions.

Solid Lipid Nanoparticles (Sln): Formulation And Fabrication, Gabriella F. Punu, Yahdiana Harahap, Qonita Kurnia Anjani, Pietradewi Hartrianti, Ryan F. Donnelly, Delly Ramadon

Pharmaceutical Sciences and Research

Solid lipid nanoparticles (SLN) have emerged as a novel drug delivery system and have been utilized for delivering various kinds of drugs since the 1990s. These particles may consist of multiple solid lipids, including glycerides, waxes, and fatty acids, and can be stabilized by a wide range of surfactants. SLN have garnered significant attention from researchers due to its innovative and versatile nature. Moreover, such delivery system has numerous advantages over traditional colloidal carriers, such as liposomes, polymeric nanoparticles, and emulsions. Several research groups have been developing SLN formulations and fabrication techniques based on their intended purpose, and this research …

Mastering Consumer Conversion: Unveiling The Management Of E-Commerce Purchase Intentions, Anusuyah Subbarao, Nasreen Khan, Nirmaladevi A/P Suppiah

International Journal of Management, Finance and Accounting

The global market structure has undergone significant transformations due to the widespread integration of information technology. As a result, electronic commerce has emerged, propelled by technological advancements, and has established itself as a fundamental pillar of the digital economy. This research paper aims to provide a thorough analysis and evaluation of various scholarly works and studies concerning digital shopping and explore the factors that impact consumers' purchasing behaviour on e-commerce sites. The quantitative method was used to analyse the connection between price consciousness, trustworthiness, business competency with customer buying inclination, perceived convenience and effectiveness. The findings reveal that trustworthiness and …

Wearable Biosensor With Molecularly Imprinted Conductive Polymer Structure To Detect Lentivirus In Aerosol, Jaskirat Singh Batra, Ting-Yen Chi, Mo-Fan Huang, Dandan Zhu, Zheyuan Chen, Dung-Fang Lee, Jun Kameoka

Faculty, Staff and Student Publications

The coronavirus disease (COVID-19) pandemic has increased pressure to develop low-cost, compact, user-friendly, and ubiquitous virus sensors for monitoring infection outbreaks in communities and preventing economic damage resulting from city lockdowns. As proof of concept, we developed a wearable paper-based virus sensor based on a molecular imprinting technique, using a conductive polyaniline (PANI) polymer to detect the lentivirus as a test sample. This sensor detected the lentivirus with a 4181 TU/mL detection limit in liquid and 0.33% to 2.90% detection efficiency in aerosols at distances ranging from 30 cm to 60 cm. For fabrication, a mixture of a PANI monomer …

Results Of The Study Of The Pumpkin Drying Process, Jasur Esirgapovich Safarov, Shahnoza Abduvakhitovna Sultanova, Andrey Svyatoslavovich Ponasenko, Gani Toshkhujaevich Dadaev

Chemical Technology, Control and Management

The article presents the results of the study of the pumpkin drying process, comparisons with different drying models are carried out. A mathematical model for numerical analysis has been developed. Pumpkin drying rates are calculated and various drying models are investigated. 5 different drying models were used to verify the accuracy of experimental data and search for the most suitable model. The experimental data obtained for the drying air temperature of 45 °C, 55 °C and 65 °C were applied to various drying models.

Use Of Neural Networks In Intelligent Measurement Tools, N.R Yusupbekov, Y.Sh. Avazov, Umidjon Ruziev Phd

Chemical Technology, Control and Management

The paper presents algorithms for processing the measurement signal with the possibilities of adaptation, learning and decision making. A comparative analysis of the methods of intellectual processing of measurement data is carried out. A model of a measuring instrument for determining the structure of a neural network has been developed. The problem of error reduction due to measurement noise filtering with the use of neural networks is considered. The structure of the neural network has been developed for intelligent processing of the measurement signal and ensuring the implementation of the functions of reconfiguration, calibration, self-diagnosis and self-control. A neural network …

Methods For Control Of The Technical And Operational Parameters Of Vehicles, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev

Chemical Technology, Control and Management

The necessity of automating the control and evaluation of the technical and operational indicators of motor vehicles (ATS) is substantiated. A classification of the main technical and operational indicators of vehicles has been carried out. Motor vehicles can be classified according to dimensions, weight, carrying capacity, cross-country ability, speed, maneuverability and other indicators. A brief review and analysis of well-known technical means of foreign firms, designed to automate the control and evaluation of the technical and operational indicators of vehicles and agricultural machinery, has been carried out. It is noted that more than 90% of the considered devices and means …

Application Of Evolutionary Algorithms For Optimization Of Operation Modes Of Regional Electric Power Systems, Isamiddin Khakimovich Siddikov, Oksana Vitalevna Porubay

Chemical Technology, Control and Management

The paper presents the possibilities of using evolutionary algorithms to solve the problem of optimizing the operation modes of electric power facilities in the presence of constraints in the form of inequalities and equalities. The limits of constraints have a variable character, depending on the generated and consumed energy. Existing methods used for the optimization of modes are based on general principles and approaches to optimization, which usually adapt to the specifics of the problem. In electric power facilities, optimization problems have some peculiarities, among which is the presence of multiple constraints applied to both independent and dependent variables. Many …

Systematic Analysis Of Methods Of Control Of Dynamic Objects In Conditions Of Non-Measurable Disturbances, Mamirov Farkhodovich Uktam, Buronov Mamurjon Ugli Bunyod

Chemical Technology, Control and Management

The article presents a systematic analysis of control methods of dynamic objects under non-measurable disturbances. It is important to study all the factors affecting the control object in order to increase the efficiency of the control system. Due to the immeasurable nature of disturbances affecting control objects, it is shown that they cause negative effects and increase the complexity of control systems in this case. In the control of dynamic objects of this type, the possibilities of control by indirect measurement of disturbances or by estimation of object position and disturbances have been explored. The use cases, shortcomings and achievements …

Development Of The Computer Model Of The Waste Water Treatment Process Using Ion-Exchange Resins In The Matlab Program, Jaloliddin Abdurazzakovich Eshbobaev, Bakhodir Tajiddinovich Khamidov, Adham Tilovovich Norkobilov, Orifjon Sharipovich Kodirov

Chemical Technology, Control and Management

In this work, a mathematical model of industrial wastewater treatment technology was formed. First, wastewater treatment technologies were analyzed and the technology of ion-exchange resin treatment was selected. A water purification device using ion-exchange resins was made, and tested on the Kungrad soda plant and the results were obtained. According to these results, it was determined that the cleaning coefficient of the device is up to 98-99%. In this article, a mathematical model of a wastewater treatment device using ion-exchange resins was developed using the stoichiometric matrix method. After the mathematical model of the process was found, a graph of …

Algorithms For Synthesis Of Adaptive Control Systems Based On The Neural Network Approach, Jasur Sevinov, Oxunjon Boborayimov, Sh.M. Abdishukurov

Chemical Technology, Control and Management

Here are algorithms for the synthesis of adaptive control systems based on the neural network approach presented. The issues of choice of architectures of neural networks that produce parametric identification of the object regulation. Adaptative neural networks that reproduce the optimal parameters of implemented controllers, methods of forming training samples for their training are considered. The other question of using the theory of artificial neural networks for approximating the functional of the controller's tuning parameters are determined. Structures of synthesized neural networks of parametric identification of objects with self-alignment in an open loop ACS are proposed. Algorithms made it possible …