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Performance Analysis of Radiation Detection Devices in Elevated Natural Radiation Zones: A Case Study of Mamuju Regency, West Sulawesi Indonesia

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Journal of engineering and Technological Sciences 2025年第1期57卷 105-117页

作者： Abdullah, Adi Rahmansyah Amir Permana, Sidik Srigutomo, Wahyu Maulana, Alan Seno, Haryo Purnama, Dikdik Sidik Rasito Humolungo, Ismail Zulfahmi Doctoral Program in Nuclear Engineering Department Institut Teknologi Bandung Jalan Ganesha No. 10 Bandung40132 Indonesia Physics Department Bandung Institute of Technology Jalan Ganesha No. 10 Bandung40132 Indonesia Indonesia’s National Research and Inovation Agency Jalan Tamansari No. 71 Bandung40132 Indonesia

Three radiation detection tools were employed to assess natural radiation levels in Mamuju Regency, West Sulawesi, Indonesia. These tools comprised the NaI(Tl) Scintillator, the Geiger Muller Counter (GMC), and the Electronic Personal Dosimeter (EPD). The NaI(Tl) Scintillator and GMC measured ambient dose equivalent (H*(10)), while the EPD exclusively gauged personal dose equivalent (Hp(10)). A total of 75 measuring points were designated for assessment. Results from H*(10) measurements indicated that the GMC recorded an average H*(10) 41% higher than that of the NaI(Tl) Scintillator, with specific rates of 0.769 µSv/h and 0.457 µSv/h, respectively. Both instruments exhibited proficiency in detecting elevated levels of radiation. Discrepancies in the outcomes were attributed to differences in detector type and efficiency. The GMC, equipped with an energy-compensated detector, demonstrated enhanced efficiency compared to the NaI(Tl) Scintillator, particularly when subjected to high energy flux radiation. Anomalies emerged in the Hp(10) measurements, which surpassed the H*(10) measurements. This difference is due to the EPD's use of a conventional GM detector, which is capable of detecting gamma, beta, and X-ray radiation. © 2025 Published by IRCS-ITB.

关键词： Scintillation counters

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A Neuroelectronic Interface with Microstructured Substrates for Spiral Ganglion Neurons Cultured In Vitro: Proof of Concept

Biosensors

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Biosensors 2025年第4期15卷 224-224页

作者： Delipetar, Boris Žarković Krolo, Jelena Bedalov, Ana Kovačić, Damir Department of Physics Faculty of Science University of Split Ruđera Boškovića 33 Split21000 Croatia University of Split Ruđera Boškovića 31 Split21000 Croatia The Doctoral Program in Mechanical Engineering Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture University of Split Ruđera Boškovića 32 Split21000 Croatia The Doctoral Program in Biophysics Faculty of Science University of Split Ruđera Boškovića 33 Split21000 Croatia Bedalov d.o.o for Research Development and Consulting Ulica T. Antunovića 17 Kaštel Sućurac21212 Croatia

In this study, we present a proof-of-concept neuroelectronic interface (NEI) for extracellular stimulation and recording of neurophysiological activity in spiral ganglion neurons (SGNs) cultured in vitro on three-dimensional, micro-patterned substrates with customized microtopographies, integrated within a 196-channel microelectrode array (MEA). This approach enables mechanotaxis-driven neuronal contact guidance, promoting SGN growth and development, which is highly sensitive to artificial in vitro environments. The microtopography geometry was optimized based on our previous studies to enhance SGN alignment and neuron-electrode interactions. The NEI was validated using SGNs dissociated from rat pups in the prehearing period and cultured for seven days in vitro (DIV). We observed viable and proliferative cellular cultures with robust neurophysiological responses in the form of local field potentials (LFPs) resembling action potentials (APs), elicited both spontaneously and through electrical stimulation. These findings provide deeper insights into SGN behavior and neuron-microenvironment interactions, laying the groundwork for further advancements in neuroelectronic systems. © 2025 by the authors.

关键词： Neurons

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Spatio-temporal characterisation of the Beekeeper Formation of Australia: facies development, mixing of carbonate and siliciclastic materials, and influencing factors

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Petroleum Research 2025年

作者： Adhari, Muhammad Ridha Marwan Husin, Husni Ismail, Nazli Ghani, Azman A. Doctoral Program School of Engineering Post Graduate School Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Geological Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Geophysical Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Chemical Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Physics Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Geology Universiti Malaya Kuala Lumpur50603 Malaysia

The Beekeeper Formation, a mixed carbonate-siliciclastic reservoir, has long been known as a proven gas reservoir in the northern Perth Basin, Australia. However, its characteristics, and spatio-temporal distribution are still not well understood. There are two main objectives of this study: (1) to identify the main cutting facies groups/subgroups, and electrofacies of the Beekeeper Formation;and (2) to understand spatio-temporal characteristics, and development of the Beekeeper Formation. Integrated multi analyses have been conducted to achieve these objectives including cutting, wireline logging, and XRF analyses. Fifteen types of cutting components, and nine electrofacies were identified forming the Beekeeper Formation. The Beekeeper Formation consists of nine facies sub-groups, and these are classified into carbonate-dominated facies group, siliciclastic-dominated facies group, and mixed carbonate-siliciclastic facies group. Furthermore, this formation can vertically be divided into three parts on the basis of the main facies groups: the lower, middle, and upper parts. The lower and upper parts consist predominantly of siliciclastic materials, while the middle part is dominated by carbonate materials. In the north of the study area, the Beekeeper Formation consists predominantly of siliciclastic materials with minor carbonate materials, whereas in the central to south it consists mainly of carbonate material with minor-moderate siliciclastic materials. Various processes have influenced the evolution of the Beekeeper Formation including influx of siliciclastic components, mixing of carbonate and siliciclastic materials, suitable environment for the growth of carbonate biotas, sea level fluctuation, and tectonic activities. It is expected that findings from this study will provide new insights into characteristics of mixed carbonate-siliciclastic reservoirs in general, and will have regional and global applicability. © 2025 The Authors

关键词： Sea level

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DFT Study of H2 Adsorption and Dissociation on Supported PdZn Clusters

DFT Study of H2 Adsorption and Dissociation on Supported PdZ...

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2024 International Conference on physics and Technology of Advanced Materials, ICPTAM 2024

作者： Wirmas, Marleni Mahyuddin, Muhammad Haris Agusta, Mohammad Kemal Dipojono, Hermawan Kresno Doctoral Program of Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Quantum and Nano Technology Research Group Faculty of Industrial Technology Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Research Center for Nanoscience and Nanotechnology Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia

The adsorption and dissociation of hydrogen molecules are essential for various hydrogenation reactions and utilization in hydrogen storage. Herein, by utilizing Density Functional Theory (DFT), we introduce Zn atoms to a Pd subnanometer cluster to investigate H2 dissociation. Two cluster models with ZrO2 support are considered, namely Pd4Zn/ZrO2 and Pd3Zn2/ZrO2. We find that H2 molecule strongly adsorbed on the Pd clusters, where Pd3Zn/ZrO2 gives slightly lower adsorption energy. Both configurations were found to facilitate the H2 dissociation into two H atoms thermodynamically, which takes place on top of Pd atoms with activation barriers of 0.63 and 0.67 eV on the Pd4Zn/ZrO2 and Pd3Zn2/ZrO2., respectively. Overall, this study provides new insights into the effect of cluster forms of Pd-based catalyst on the reaction mechanism of H2 dissociation. © 2025 Institute of physics Publishing. All rights reserved.

关键词： Hydrogenolysis

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Enhancing Diagnostic Accuracy for Knee Osteoarthritis Using a Deep Learning Approach

Enhancing Diagnostic Accuracy for Knee Osteoarthritis Using ...

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International Symposium on Applied Science 2024, ISAS 2024

作者： Raza, Aquib Ching, Congo Tak Shing Liu, Peng-Ta Phan, Thien-Luan Tran, Ngoc-Luan Nguyen, Ha Anh T. Rameez, Mohammad Li, Hung-Chung Linh, Dao Nguyen Phuong Van Hieu, Nguyen Tran, Trung Nghia National Taiwan University Taipei City10673 Taiwan Research Center for Information Technology Academia Sinica Taipei City11529 Taiwan Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung402 Taiwan Department of Electrical Engineering National Chi Nan University Nantou County Taiwan Advanced Plant and Food Crop Biotechnology Center National Chung Hsing University Taichung402 Taiwan International Doctoral Program in Agriculture National Chung Hsing University Taichung402 Taiwan Fall Prevention Center Department of Physical Medicine & Rehabilitation Changhua Christian Hospital Changhua500 Taiwan Department of Physics and Electronic Engineering University of Science Vietnam National University - Ho Chi Minh City Ho Chi Minh City70000 Viet Nam Department of Computer Science University of York York HeslingtonYO10 5DD United Kingdom Undergraduate Program of Intellectual Creativity Engineering National Chung Hsing University Taichung402 Taiwan Ho Chi Minh City72409 Viet Nam HCMUT Vietnam National University Ho Chi Minh City Thu Duc Ho Chi Minh City71308 Viet Nam

This research introduces a deep learning framework that combines convolutional neural networks with autoencoders to improve the diagnostic accuracy of knee osteoarthritis. The study utilized a publicly available dataset from the Mendeley Data repository, where knee joint images were preprocessed using Contrast Limited Adaptive Histogram Equalization to enhance contrast and ensure consistent image sizing. Initially, an autoencoder was employed in an unsupervised manner to learn compressed representations of the data. These representations were then used to train a CNN to classify knee images into 'healthy' and 'osteoarthritic' categories. The model was trained using an 80:20 split for training and testing data, incorporating early stopping and data augmentation techniques to prevent overfitting and enhance generalization. Performance metrics such as accuracy, precision, recall, and the area under the Receiver Operating Characteristic curve (ROCAUC) were used to evaluate the model, resulting in a high test accuracy of 98.95%. The high precision and recall rates further confirmed the model's robustness in diagnosing KOA. To enhance interpretability, Gradient-weighted Class Activation Mapping (Grad-CAM) was applied to identify critical regions in the images that influenced the model's decisions. Additionally, t-Distributed Stochastic Neighbor Embedding (t-SNE) was used to visualize the high-dimensional encoded features in a two-dimensional space, providing deeper insights into how the model differentiates between classes. The promising results of this deep learning approach suggest its potential for broader applications in medical imaging diagnostics. By providing healthcare professionals with a tool that enhances diagnostic accuracy and operational efficiency, this framework lays the foundation for developing scalable, AI-driven diagnostic systems for various complex medical conditions. © 2025 Institute of physics Publishing. All rights reserved.

关键词： Joints (anatomy)

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Speeding Up Quantum Measurement Using Space-Time Trade-Off

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Physical Review Letters 2025年第8期134卷 080801-080801页

作者： Christopher Corlett Ieva Čepaitė Andrew J. Daley Cica Gustiani Gerard Pelegrí Jonathan D. Pritchard Noah Linden Paul Skrzypczyk Quantum Engineering Centre for Doctoral Training University of Bristol Tyndall Avenue Bristol BS8 1FD United Kingdom H.H. Wills Physics Laboratory University of Bristol Tyndall Avenue Bristol BS8 1TL United Kingdom Department of Physics and SUPA University of Strathclyde Glasgow G4 0NQ United Kingdom Clarendon Laboratory University of Oxford Parks Road Oxford OX1 3PU United Kingdom LIP6 CNRS Sorbonne Université 4 Place Jussieu 75005 Paris France School of Mathematics University of Bristol Fry Building Woodland Road Bristol BS8 1UG United Kingdom CIFAR Azrieli Global Scholars Program CIFAR Toronto Canada

We present a scheme for speeding up quantum measurement. The scheme builds on previous protocols that entangle the system to be measured with ancillary systems. In the idealized situation of perfect entangling operations and no decoherence, it gives an exact space-time trade-off meaning the readout speed increases linearly with the number of ancilla. We verify this scheme is robust against experimental imperfections through numerical modeling of gate noise and readout errors, and under certain circumstances our scheme can even lead to better than linear improvement in the speed of measurement with the number of systems measured. This hardware-agnostic approach is broadly applicable to a range of quantum technology platforms and offers a route to accelerate midcircuit measurement as required for effective quantum error correction.

关键词： Quantum entanglement

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MAXIMAL ERROR EVALUATION TYPED STABLE MODEL-REFERENCE ADAPTIVE-CONTROL FOR PERIODICALLY LINEAR TIME-VARYING SYSTEMS

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INTERNATIONAL CONF ON SYSTEMS engineering

作者： ITAMIYA, K SHIN, S ANDO, K Doctoral Program in Engineering University of Tsukuba Japan Department of Mathematical Engineering and Information Physics University of Tokyo Japan Institute of Information Sciences and Electronics University of Tsukuba Japan

ISBN: (纸本)0780307348

This paper presents a model reference adaptive control system (MRACS) which does not depend on the degree of the plant when the plant is the continuous-time periodically linear time-varying system. A priori information is only the relative degree and the time-varying period. The controller has adjustable scalar functions. The optimal functions of these are directly estimated synchronizing with the time-varying period of the plant by adaptive laws. The main contribution of this paper is that the computational burden of the adaptive law for the direct function estimation is reduced. It is accomplished with the maximum normalized error evaluation typed adaptive law. The design method and the global stability analysis of the proposed system axe shown. © 1992 IEEE.

关键词： Model reference adaptive control

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The effect of Zn2+ ion substitution on nanoparticles of ZnxMn(1-X) Fe2O4 (X = 0.2, 0.4, 0.6, 0.8) towards signal surface plasmon resonance (SPR)

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Materials Research Innovations 2023年第6期27卷 420-428页

作者： Almi Putra, Rachmad Andi Fadlly, Teuku Asmara, Vina Monica, Desy Sartika Hijrahnisa Novia, Wina Yakob, Muhammad Indrayana, Ipt Geubrina Raszky, Rachmita Mujahid Hamdan, Abd Arfi, Febrina Rahwanto, Adi Jalil, Zulkarnain Physics Study Program Faculty of Engineering Universitas Samudra Langsa Indonesia Doctoral Study Program School of Engineering Universitas Syiah Kuala Banda Aceh Indonesia Department of Physics Education Faculty of Teaching and Education Universitas Samudra Langsa Indonesia Physics Study Program Faculty of Natural Science and Engineering Technology Universitas Udayana Denpasar Indonesia Department of Environmental Engineering Faculty of Science and Technology UIN Ar-Raniry Banda Aceh Indonesia Department of Chemistry Faculty of Science and Technology UIN Ar-Raniry Banda Aceh Indonesia Department of Physics Faculty of Mathematics and Natural Sciences Syiah Kuala University Banda Aceh Indonesia

This study examined the effect of Zn2+ ion substitution on ZnxMn(1-x) Fe2O4 nanoparticles (x = 0.2, 0.4, 0.6, 0.8) towards signal Surface Plasmon Resonance (SPR). The co-precipitation method synthesised the nanoparticles at a temperature of 90°C. The X-Ray Diffraction (XRD) results showed a polycrystalline structure with a crystallite size varied from 19.05 nm to 19.77 nm. In addition, as the Zn element increased in the ZnxMn(1-x)Fe2O4 nanoparticles, the degree of crystallinity increased by 21.72%, respectively. The optical properties of the nanoparticles ZnxMn(1-x) Fe2O4 indicate absorbance at wavelengths of 330.36–331.74 nm. The absorbance level increased as the Zn element decreased, resulting a direct optical gap of 3.47 eV and an indirect optical gap of 3.23 eV. The Attenuated Total Reflection (ATR) curve in the SPR biosensor indicated a shift in the reflective angle of the Prism/Au/Air configuration, which is 47.78° on Prisma/Au/nanoparticle of Zn0.8Mn0.2Fe2O4/air by 50.75°, and the prism/Au/nanoparticle of Zn0.2Mn0.8Fe2 O4/air by 51.04°. The substitution of Zn ions in the compound Zn x Mn(1-x)Fe2O4 affects the resulting ATR curve. The shift in the SPR angle is caused by changes in the refractive index in each layer which is influenced by the concentration of each material which has an impact on the absorbance ability and photon reflectance. This research has the potential to continue with the testing of dielectric and magnetic properties, as well as special testing for biological analytes compatible with ZnxMn(1-x)Fe2O4 nanoparticles. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Surface plasmon resonance

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Quantitative EEG Analysis Based on PSD and eLORETA-Source Localization Approach in Spatial Auditory Process 8

Quantitative EEG Analysis Based on PSD and eLORETA-Source Lo...

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8th International Conference on Instrumentation, Control, and Automation, ICA 2023

作者： Masitoh, Masitoh Suprijanto, Suprijanto Joko Sarwono, R.S. Institut Teknologi Bandung Doctoral Program of Engineering Physics Bandung Indonesia Institut Teknologi Bandung Instrumentation and Control Research Group Bandung Indonesia Institut Teknologi Bandung Engineering Physics Research Group Bandung Indonesia

ISBN: (纸本)9798350301274

The advancement of spatial audio technology has been driven by the human capacity for spatial auditory, enabling immersive auditory experiences that replicate real-life sound environments. Understanding how the brain encodes spatial auditory processes has emerged as a growing area of research. Electroencephalography (EEG), a non-invasive modality with high temporal resolution, offers an ideal means to study brain responses to moving sound stimuli. This study aims to compare quantitative EEG methods derived from direct EEG recordings, focusing on EEG temporal features such as Power Spectral Density (PSD), as well as EEG source localization using eLORETA. Two types of audio stimuli, stereo audio and spatial audio, delivered through headsets attached directly to both ears, were investigated. When exposed to the spatial audio stimulus, there was a notable increase in the mean PSD within the Theta, Alpha, and Beta frequency bands in the auditory cortex (channel T3, T4, T5, and T6). The most significant increase was observed in the Beta frequency band of 145.601 μV2/Hz in T4, indicating heightened focus experienced by the subjects compared to the stereo audio stimulus. Furthermore, EEG source localization using eLORETA revealed distinct activation in the frontal area during the second experiment involving the spatial audio stimulus. Specifically, there was a significant increase (p>0.05) in current density within the frontal regions of the brain, including Brodmann Area (BA) 6 and 9, which are associated with selective attention and spatial orientation. These findings highlight the practicality of the employed methods and their potential to shed light on brain activity during spatial auditory processes. © 2023 IEEE.

关键词： Electroencephalography

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Optimizing Indoor Vertical Farming with DDPG Reinforcement Learning: Enhancing Control of Nutrient Levels, Climate Conditions, and Plant Health 5

Optimizing Indoor Vertical Farming with DDPG Reinforcement L...

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5th IEEE International Conference on Technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Albert Panggabean, Good Fried Romadhon, Rahmat Lubis, Ramot Joelianto, Endra Institut Teknologi Bandung Doctoral Program in Engineering Physics Bandung Indonesia Institut Teknologi Del Faculty of Informatics and Electrical Engineering Toba Indonesia Institut Teknologi Bandung Engineering Physics Study Program Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Bandung Indonesia

ISBN: (纸本)9798350364743

In indoor vertical farming systems, managing dynamic and complex environments poses significant challenges. Traditional control strategies often fall short in adapting to rapid changes in critical parameters such as nutrient levels, climate conditions, and plant health indicators. To address these challenges, this paper presents a novel approach for optimizing indoor vertical farming using Deep Deterministic Policy Gradient (DDPG), a reinforcement learning algorithm well-suited for environments with continuous action spaces. Our study focused on the control and monitoring of key parameters, including nutrient levels (pH and EC), climate conditions (temperature, humidity, light, and CO2 levels), and plant health indicators (biomass accumulation and leaf size structure). By defining a comprehensive state and action space, we simulated an indoor farming environment and trained the DDPG model to maximize crop yield and health. © 2024 IEEE.

关键词： DDPG indoor vertical farming precision agriculture reinforcement learning smart farming

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