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17th IEEE International Conference on Nano/Molecular Medicine and engineering, NANOMED 2024

作者： Abuwatfa, Waad H. Anjum, Shabana Pitt, William Husseini, Ghaleb A. American University of Sharjah Material Science and Engineering PhD Program College of Arts and Sciences Sharjah United Arab Emirates American University of Sharjah Department of Chemical and Biological Engineering Sharjah United Arab Emirates Brigham Young University Department of Chemical Engineering ProvoUT84604 United States

ISBN: (纸本)9798331516994

Functionalizing chemotherapeutics-loaded liposomes with monoclonal antibodies can enhance their specificity and minimize side effects. Targeting the human epidermal growth factor receptor 2 (HER2), overexpressed in HER2-positive breast cancer, is achievable by coating liposomes with an anti-HER2 monoclonal antibody. This study focused on synthesizing doxorubicin (DOX)-loaded immunoliposomes functionalized with anti-HER2 (HER-lip). The release of the drug from these immunoliposomes was triggered by high-frequency ultrasound (HFUS) and microbubbles, which acted as exogenous cavitation-enhancing agents. The platform was evaluated for size, lipid content, protein concentration, stability, and controlled release profiles. In vitro assessments were also performed, including the MTT assay for cell viability and flow cytometry to evaluate drug uptake. This innovative drug delivery system shows potential for combined therapeutic and diagnostic applications, improving personalized cancer care and treatment. © 2024 IEEE.

关键词： Monoclonal antibodies

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RFI measurements at Bosscha observatory to prepare a new VGOS station

RFI measurements at Bosscha observatory to prepare a new VGO...

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2023 International Symposium From the Universe Back to Earth: Developing Astronomy to Meet Today's Natural Challenges

作者： Ramadhan, S. Hidayat, T. Suryana, J. Romadhoni, A. Kurniasari, M. Bosscha Observatory Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Indonesia Astronomy Study Program Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Indonesia Laboratory of Radio and Microwave Telecommunication School of Electronics and Informatics Engineering Institut Teknologi Bandung Indonesia

A new VGOS (VLBI Global Observing System) radio telescope will be constructed at Bosscha Observatory Lembang, West Java, in cooperation between Shanghai Astronomical Observatory (SHAO) and Institut Teknologi Bandung. One of the preparation steps is to conduct RFI (Radio Frequency Interference) measurements to obtain the RFI environment from the vicinity of the observatory. In this work, we report preliminary measurements of the RFIs that were done for several days in August and September 2023. Instruments used includes: A-INFOTM LB-20180 horn antenna, Wright TechnologiesTM low noise amplifier, and AaroniaTM Spectran V5 80200 OEM spectrum analyzer. The frequency range of 2.0 - 18.0 GHz is targeted referring to VGOS frequencies. Measurements in one day are carried out for about 24 hours in eight cardinal directions and two polarizations. The results and analysis are presented in spectral power flux density plots. © Published under licence by IOP Publishing Ltd.

关键词： Observatories

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Optimal Resource Allocation for NOMA Wireless Networks

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Computers, Materials & Continua 2023年第2期74卷 3249-3261页

作者： Fahad R.Albogamy M.A.Aiyashi Fazirul Hisyam Hashim Imran Khan Bong Jun Choi Turabah University College Computer Sciences ProgramTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Jazan UniversityJazanP.O.Box 218Saudi Arabia Department of Computer and Communication Systems Engineering Faculty of EngineeringUniversiti Putra Malaysia(UPM)43400SerdangMalaysia Department of Electrical Engineering University of Engineering and Technology PeshawarP.O.Box 814Pakistan School of Computer Science and Engineering Soongsil UniversitySeoulKorea

The non-orthogonal multiple access(NOMA)method is a novel multiple access technique that aims to increase spectral efficiency(SE)and accommodate enormous user ***-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information,and multi-user detection algorithms,such as successive interference cancellation(SIC),are performed at the receiving end to demodulate the necessary user *** its basic signal waveform,like LTE baseline,could be based on orthogonal frequency division multiple access(OFDMA)or discrete Fourier transform(DFT)-spread OFDM,NOMA superimposes numerous users in the power *** contrast to the orthogonal transmission method,the nonorthogonal method can achieve higher spectrum ***,it will increase the complexity of its *** power allocation techniques will have a direct impact on the system’s *** a result,in order to boost the system capacity,an efficient power allocation mechanism must be *** research developed an efficient technique based on conjugate gradient to solve the problem of downlink power *** major goal is to maximize the users’maximum weighted sum *** suggested algorithm’s most notable feature is that it converges to the global optimal *** compared to existing methods,simulation results reveal that the suggested technique has a better power allocation capability.

关键词： Non-orthogonalmultiple access wireless networks power domain 5G networks

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Observation of dark edge states in parity-time-symmetric quantum dynamics

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National Science Review 2023年第8期10卷 156-165页

作者： Peng Xue Xingze Qiu Kunkun Wang Barry C. Sanders Wei Yi Beijing Computational Science Research Center Key Laboratory of Quantum Information University of Science and Technology of China Chinese Academy of Sciences Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Chinese Academy of Sciences School of Physics and Optoelectronic Engineering Anhui University Shanghai Branch National Laboratory for Physical Sciences at MicroscaleUniversity of Science and Technology of China Institute for Quantum Science and Technology University of Calgary Program in Quantum Information Science Canadian Institute for Advanced Research

Topological edge states arise in non-Hermitian parity-time(PT)-symmetric systems, and manifest themselves as bright or dark edge states, depending on the imaginary components of their eigenenergies. As the spatial probabilities of dark edge states are suppressed during the non-unitary dynamics, it is a challenge to observe them experimentally. Here we report the experimental detection of dark edge states in photonic quantum walks with spontaneously broken PT symmetry, thus providing a complete description of the topological phenomena therein. We experimentally confirm that the global Berry phase in PT-symmetric quantum-walk dynamics unambiguously defines topological invariants of the system in both the PT-symmetry-unbroken and-broken regimes. Our results establish a unified framework for characterizing topology in PT-symmetric quantum-walk dynamics, and provide a useful method to observe topological phenomena in PT-symmetric non-Hermitian systems in general.

关键词： parity-time symmetry photonic quantum walks dark edge states topological invariants

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Effect of Ultrasound and Mixing of Folate and Trastuzumab Liposomes on DOX Release and Cellular Uptake 17

Effect of Ultrasound and Mixing of Folate and Trastuzumab Li...

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17th IEEE International Conference on Nano/Molecular Medicine and engineering, NANOMED 2024

作者： Alsawaftah, Nour M. Pitt, Willian G. Husseini, Ghaleb A. American University of Sharjah Materials Science and Engineering Program College of Arts and Sciences PO Box 26666 Sharjah United Arab Emirates Brigham Young University Chemical Engineering Department ProvoUT United States American University of Sharjah College of Engineering Chemical and Biological Engineering Department PO Box 26666 Sharjah United Arab Emirates

ISBN: (纸本)9798331516994

This study explores the potential of physically mixing individually targeted Doxorubicin (DOX)-loaded liposomes functionalized with folic acid (FA) and trastuzumab (TRA), combined with ultrasound (US) triggering, to enhance targeted breast cancer therapy. This research focused on synthesizing, characterizing, and evaluating DOX release, cellular uptake, and cytotoxicity of FA-PEG and TRA-PEG-modified liposomes mixed at different volume fractions. Low-frequency ultrasound (LFUS) and high-frequency ultrasound (HFUS) were employed to trigger DOX release. The study demonstrated that the sonicated-physically-mixed liposomes showed superior release performance (specifically the M75 group) and increased cellular uptake (specifically the M25 group) compared to individually targeted liposomes, highlighting their combined potential in breast cancer treatment. © 2024 IEEE.

关键词： Breast cancer Folic acid Liposomes Trastuzumab Ultrasound

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Degradation of Tattoo Inks by Cold Atmospheric Plasma Treatment: A Proof-of-Concept Study

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Plasma Medicine 2022年第3期12卷 1-21页

作者： Çukur, Elif Ercan, Utku Kürşat Department of Biomedical Engineering School of Engineering and Architecture İzmir Katip Çelebi University Çiğli İzmir35620 Turkey Isparta University of Applied Sciences Uluborlu Vocational School Biomedical Device Technologies Program Isparta32200 Turkey

Tattoos have been a part of the culture and a way of expression for a remarkable portion of society throughout history. However, different dissatisfactions related to tattoos lead people to tattoo removal procedures that can be carried out in various ways. Among them, laser tattoo removal is the most common technique. However, laser tattoo removal could have downsides;thus, novel technologies that either support or replace conventional methods are needed. In the present study, the degradation of red, yellow, green, blue, black and white tattoo inks by plasma treatment was evaluated for possible future use of cold plasma in tattoo removal. Tattoo inks were treated with DBD air plasma in the aqueous form and in the agarose gel. Furthermore, also tattoo pigments were exposed to plasma-treated water. The KI-starch reagent was used to correlate the oxidative strength of plasma-treated water with the degradation of tattoo inks. Degradation of tattoo inks was determined by reflectance measurements and was measured as color change with respect to plasma treatment time. Color changes of tattoo inks were represented using the CIELAB color system and CIE xyY color space. Our results suggest that air DBD plasma treatment and plasma-treated water are capable of degrading tattoo inks. The color change of tattoo inks due to degradation by plasma was clearly distinguishable by the naked eye, and the maximum value corresponding to color change was measured for red tattoo ink. © 2022 by Begell House, Inc.

关键词： Color

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Improvıng Maternal Health Servıces in Remote Rural Areas: Through the Use of Geographıc Informatıon System Technology 8th

Improvıng Maternal Health Servıces in Remote Rural Areas: ...

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8th International Congress on Information and Communication Technology, ICICT 2023

作者： Dewi, Arlina Supriyatiningsih Sundari, Sri Nursetiawan Master of Hospital Administration Faculty of Post Graduate Program Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia Obstetrics and Gynecology Faculty of Medicine and Health Sciences Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia School of Medicine Faculty of Medicine and Health Sciences Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia Civil Engineering Faculty of Engineering Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia

ISBN: (纸本)9789819932351

Indonesia’s high Maternal Mortality Rate (MMR) and İnfant Mortality Rate (IMR) are major health concerns. In Indonesia’s 2020, MMR was 199/100,000 live births, exceeding the 2015–2030 global target of 70/100,000. Geographic Information Systems (GISs) maternal and infant health are useful in mapping and evaluating pregnant women’s locations to determine health facility access. This study aimed to describe the use of GIS to map pregnant women, risky pregnant women, and the distance to the nearest health facility in a remote rural Indonesian area. The study used descriptive quantitative surveying. This study focused on rural pregnant women in Bulukumba, South Sulawesi. The sampling method used the total population. This study uses ArcGIS to find coordinates points using latitude and longitude points. Descriptive analysis to be used maps pregnant women’s risk of accessing health facilities. Results this research, using GIS to map pregnant women, especially high-risk ones, to shelters and health facilities found 47.7% have a risk of pregnancy, 34.9% get to the hospital in 50–60 min, and 1.1% above 60 min. GIS mapping in rural pregnant women can monitor high-risk pregnancies, but it must be enhanced continuously. GIS in health, especially for mothers and children, can help the government present health equality policies by estimating distance and time to access health facilities, especially in specific geographic locations, with decreased MMR and improving maternal and child health. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Rural areas

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Machine Learning-Based Classification of Mental Health State Using the DASS-21 Profile 16

Machine Learning-Based Classification of Mental Health State...

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16th Biomedical engineering International Conference, BMEiCON 2024

作者： Duangchaemkarn, Khanita Khammarew, Patiphan Aramvith, Supavadee School of Pharmaceutical Sciences University of Phayao Department of Pharmacy Practice Phayao56000 Thailand School of Pharmaceutical Sciences University of Phayao Pharmacy Research Extern Under the Doctor of Pharmacy Program Phayao56000 Thailand Chulalongkorn University Multimedia Data Analytic and Processing Research Unit Department of Electrical Engineering Faculty of Engineering Bangkok10330 Thailand

ISBN: (纸本)9798331505431

This study aimed to determine the most effective machine learning model for classifying emotional states of depression, anxiety, and stress based on the DASS-21 profile. Six machine learning models were developed and tested using 2,602 records from the University of Phayao Counselling Center, collected between 23 July and 16 August 2020. The results demonstrate that the deep learning model provided the highest accuracy and precision, exceeding 90% for all three emotional categories, with an AUC greater than 99%. These findings introduce an innovative approach for classifying emotional states of depression, anxiety, and stress using the DASS-21 profile as a benchmark. Incorporating additional features into the model could further enhance its utility in clinical decision-making, improving the accuracy of mental health screening and diagnosis. © 2024 IEEE.

关键词： Adversarial machine learning

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Child-Centered, Interdisciplinary Bioengineering Summer Research Experience 46

Child-Centered, Interdisciplinary Bioengineering Summer Rese...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Rodriguez, Ayshka Lundy, Mary Depto-Hoffman, Debra Aceros, Juan University of North Florida School of Engineering JacksonvilleFL32224 United States University of North Florida Physical Therapy Program Department of Clinical and Applied Movement Sciences JacksonvilleFL32224 United States

ISBN: (纸本)9798350371499

This study investigates the impact of a summer biomedical engineering research training program on undergraduate students, high school students, and ESE (Exceptional Student Education) teachers from local schools. The views of participants toward social responsibility and their affinity to work together in interprofessional groups were measured using the Public Service Motivation Scale (PSM) and the Interprofessional Socialization and Valuing Scale (ISVS) over four years. The study reports statistically significant changes in the compassion scale, or 'dedication to societal well-being,' and a positive effect on the comfort scale, or 'ability to engage in teamwork.' © 2024 IEEE.

关键词： Students

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Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

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Computers, Materials & Continua 2024年第3期78卷 4379-4397页

作者： Qazi Mazhar ul Haq Fahim Arif Khursheed Aurangzeb Noor ul Ain Javed Ali Khan Saddaf Rubab Muhammad Shahid Anwar Department of Computer Science and Engineering and International Bachelor’s Program in Informatics Yuan Ze UniversityZhongliTaoyuan320315Taiwan Department of Computer Science National University of PakistanRawalpindiPunjab46000Pakistan Department of Computer Software Engineering MCSNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer Science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Department of AI and Software Gachon UniversitySeongnam-SI13120South Korea

Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

关键词： Natural language processing software bug prediction transfer learning ensemble learning feature selection

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