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Articles 120001 - 120030 of 1113977
Full-Text Articles in Entire DC Network
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
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
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
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
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
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
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
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
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 …
Results Of The Study Of The Pumpkin Drying Process, Jasur Esirgapovich Safarov, Shahnoza Abduvakhitovna Sultanova, Andrey Svyatoslavovich Ponasenko, Gani Toshkhujaevich Dadaev
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
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
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
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
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
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
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 …
Computer Training Systems For Training Engineering Personnel For Control Industrial Enterprises, Yusuf Shodiyevich Avazov, Kamola Rustamovna Abdullaeva
Computer Training Systems For Training Engineering Personnel For Control Industrial Enterprises, Yusuf Shodiyevich Avazov, Kamola Rustamovna Abdullaeva
Chemical Technology, Control and Management
A principle has been proposed for constructing computer simulators for improving the qualifications of process control operators at industrial enterprises and for training students of higher educational institutions. The capabilities of a computer simulator that can be used as a digital assistant are revealed. Their architecture for building digital simulators is proposed. From the architecture it is clear that the computer simulator consists of two systems. The training process management system and the server of the computerized simulator are combined into a digital simulator. Simulators in this category provide student operators with the opportunity to develop skills in self-control of …
Climate Change And The Law Of National Security Adaptation, Mark Nevitt
Climate Change And The Law Of National Security Adaptation, Mark Nevitt
NULR Online
No abstract provided.
Nanodiscs: A Novel Approach To The Study Of The Methionine Abc Transporter System, Michael T. Winslow
Nanodiscs: A Novel Approach To The Study Of The Methionine Abc Transporter System, Michael T. Winslow
Master's Theses
Membrane transporter proteins play the vital role of moving compounds in and out of the cell and are essential for all living organisms. ATP Binding Cassette (ABC) family transporters function both as importers and exporters in prokaryotes. MetNI is an E. coli Type I ABC transporter responsible for the uptake of methionine into the cytosol from the cell periplasmic space through the cell membrane to maintain intracellular methionine pools. ABC transporters, like other membrane proteins, are most often mechanistically and structurally studied in vitro, solubilized by detergents. However, detergent micelles may affect the conformational changes of membrane proteins relative to …
Engaging Patients In Opioid Use Disorder Treatment: A Mixed Methods Study Investigating Primary Care Team Perspectives On Approaches, Barriers, And Facilitators, Elizabeth J. Austin, Ulrich Koch, Monica S. Ruiz, Anna D. Ratzliff, Emily C. Williams, Yavar Moghimi
Engaging Patients In Opioid Use Disorder Treatment: A Mixed Methods Study Investigating Primary Care Team Perspectives On Approaches, Barriers, And Facilitators, Elizabeth J. Austin, Ulrich Koch, Monica S. Ruiz, Anna D. Ratzliff, Emily C. Williams, Yavar Moghimi
Doctor of Philosophy in Translational Health Sciences Dissertations
Background: Harms from opioid use disorder (OUD) cause significant morbidity and mortality, responsible for over 107,000 overdose-related deaths in 2022 and igniting an urgency to expand access to OUD-related care to new settings such as primary care. A critical element of successful OUD care is engaging patients throughout the OUD care continuum and ongoing retention, yet OUD care engagement rates in outpatient settings are hugely variable, ranging from 4%-70% for initial (14-30 day) treatment engagement, and markedly diminishing over time. The barriers that patients cite to engagement point to the need to deliver more patient-centered OUD care, yet little …
Gold Nanoparticle-Based Strategies Against Sars-Cov-2: A Review, Yousef Rasmi, Kevser K. Kırboğa, Johra Khan, Ena Gupta, Fadia Mostafa, Murali M. Yallapu, Fernanda Pilaquinga
Gold Nanoparticle-Based Strategies Against Sars-Cov-2: A Review, Yousef Rasmi, Kevser K. Kırboğa, Johra Khan, Ena Gupta, Fadia Mostafa, Murali M. Yallapu, Fernanda Pilaquinga
School of Medicine Publications
The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 has been an immense threat to global public health and has also had a negative socioeconomic impact worldwide. However, although the pandemic is now under control, it has demonstrated that society is unprepared to use analysis methods that are applicable to various types of viruses nor apply new therapies to prevent infections, considering the extensive time needed for vaccine development. The use of nanomaterial-based diagnostics and therapeutics can provide essential strategies for both virus detection and treatment. Gold nanoparticles (AuNPs) are the nanomaterials most commonly used to enhance virus …
Workload And Stress Level In Non-Covid-19 Zoning Nurses At National Central Public Hospital Jakarta, Zakiyah Zakiyah, Ulfah Nuraini Karim, Aliana Dewi, Siti Nuraini, Aan Sutandi, Rony Darmawansyah Alnur
Workload And Stress Level In Non-Covid-19 Zoning Nurses At National Central Public Hospital Jakarta, Zakiyah Zakiyah, Ulfah Nuraini Karim, Aliana Dewi, Siti Nuraini, Aan Sutandi, Rony Darmawansyah Alnur
Kesmas
The COVID-19 pandemic has increased the workload for nurses directly handling COVID-19 patients and those working in non-COVID-19 zones. As the number of COVID-19 cases rises, nurses face psychological problems, including stress. This study aimed to determine the relationship between workload and stress levels in a non-COVID-19 zoning ward using a cross-sectional approach and Spearman’s correlation test conducted on 94 nurses at one hospital in Jakarta, Indonesia, selected through simple random sampling. The workload questionnaire with 15 items and the DASS 42 questionnaire were used to measure stress levels. The results indicated that most nurses (73.4%) experienced a heavy workload. …
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, Jun Kameoka
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, 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 …
Pan-Cancer Analysis Of Post-Translational Modifications Reveals Shared Patterns Of Protein Regulation, Yifat Geffen, Shankara Anand, Yo Akiyama, Tomer M Yaron, Yizhe Song, Akshay Govindan, 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
Pan-Cancer Analysis Of Post-Translational Modifications Reveals Shared Patterns Of Protein Regulation, Yifat Geffen, Shankara Anand, Yo Akiyama, Tomer M Yaron, Yizhe Song, Akshay Govindan, 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 …
Wearable Biosensor With Molecularly Imprinted Conductive Polymer Structure To Detect Lentivirus In Aerosol, Zheyuan Chen
Wearable Biosensor With Molecularly Imprinted Conductive Polymer Structure To Detect Lentivirus In Aerosol, Zheyuan Chen
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 …
A Membrane-Associated Mhc-I Inhibitory Axis For Cancer Immune Evasion, Xufeng Chen, Qiao Lu, Hua Zhou, Jia Liu, Bettina Nadorp, Audrey Lasry, Zhengxi Sun, Baoling Lai, Gergely Rona, Jiangyan Zhang, Michael Cammer, Kun Wang, Wafa Al-Santli, Zoe Ciantra, Qianjin Guo, Jia You, Debrup Sengupta, Ahmad Boukhris, Hongbing Zhang, Cheng Liu, Peter Cresswell, Patricia L M Dahia, Michele Pagano, Iannis Aifantis, Jun Wang
A Membrane-Associated Mhc-I Inhibitory Axis For Cancer Immune Evasion, Xufeng Chen, Qiao Lu, Hua Zhou, Jia Liu, Bettina Nadorp, Audrey Lasry, Zhengxi Sun, Baoling Lai, Gergely Rona, Jiangyan Zhang, Michael Cammer, Kun Wang, Wafa Al-Santli, Zoe Ciantra, Qianjin Guo, Jia You, Debrup Sengupta, Ahmad Boukhris, Hongbing Zhang, Cheng Liu, Peter Cresswell, Patricia L M Dahia, Michele Pagano, Iannis Aifantis, Jun Wang
Faculty, Staff and Student Publications
Immune-checkpoint blockade has revolutionized cancer treatment, but some cancers such as acute myeloid leukemia (AML) do not respond or develop resistance. A potential mode of resistance is immune evasion of T-cell immunity involving aberrant MHC-I antigen presentation (AP). To map such mechanisms of resistance, we identified key MHC-I regulators using specific peptide-MHC-I-guided CRISPR/Cas9 screens in AML. The top-ranked negative regulators were surface protein Sushi Domain Containing 6 (SUSD6), Transmembrane Protein 127 (TMEM127), and the E3 ubiquitin ligase WWP2. SUSD6 is abundantly expressed in AML and multiple solid cancers, and its ablation enhanced MHC-I AP and reduced tumor growth in CD8+ …
Government Domination On Television Digital Migration Regulation In Indonesia, Feni Fasta, Ade Armando, Pinckey Triputra
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 …
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
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, …
Cooling Infrastructure, Cooling Security, And A Warming World, David A. Dana
Cooling Infrastructure, Cooling Security, And A Warming World, David A. Dana
NULR Online
No abstract provided.
Ergosterol Distribution Controls Surface Structure Formation And Fungal Pathogenicity, Hau Lam Choy, Elizabeth A. Gaylord, Tamara L. Doering
Ergosterol Distribution Controls Surface Structure Formation And Fungal Pathogenicity, Hau Lam Choy, Elizabeth A. Gaylord, Tamara L. Doering
2020-Current year OA Pubs
Ergosterol, the major sterol in fungal membranes, is critical for defining membrane fluidity and regulating cellular processes. Although ergosterol synthesis has been well defined in model yeast, little is known about sterol organization in the context of fungal pathogenesis. We identified a retrograde sterol transporter, Ysp2, in the opportunistic fungal pathogen
Loss Of Stearoyl-Coa Desaturase 2 Disrupts Inflammatory Response In Macrophages, Joseph B. Lin, Amy Mora, Tzu Jui Wang, Andrea Santeford, Darksha Usmani, Marianne M. Ligon, Indira U. Mysorekar, Rajendra S. Apte
Loss Of Stearoyl-Coa Desaturase 2 Disrupts Inflammatory Response In Macrophages, Joseph B. Lin, Amy Mora, Tzu Jui Wang, Andrea Santeford, Darksha Usmani, Marianne M. Ligon, Indira U. Mysorekar, Rajendra S. Apte
2020-Current year OA Pubs
Macrophages are innate immune cells that patrol tissues and are the first responders to detect infection. They orchestrate the host immune response in eliminating invading pathogens and the subsequent transition from inflammation to tissue repair. Macrophage dysfunction contributes to age-related pathologies, including low-grade inflammation in advanced age that is termed "inflammaging." Our laboratory has previously identified that macrophage expression of a fatty acid desaturase, stearoyl-CoA desaturase 2 (SCD2), declines with age. Herein, we delineate the precise cellular effects of SCD2 deficiency in murine macrophages. We found that deletion of