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Journal articles on the topic 'User memory bank'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Arifin, Ajib Setyo, M. B. Fathinah Hanun, Eka Maulana, I. Wayan Mustika, and Fitri Yuli Zulkifli. "Design of a portable radio-frequency-identification reader capable to reading a user memory bank for smart-building energy management." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1538–49. https://doi.org/10.11591/ijeecs.v23.i3.pp1538-1549.

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Communication is an important factor in smart-building energy management (SBEM). Many communications technologies have been applied to SBEM, including radio-frequency identification (RFID). RFID has been used not only for identification but also for carrying information, which is stored in a user memory bank attached to the tag. To access the user memory bank, an RFID reader should comply with ISO 18000-6C standards. The greatest challenge of RFID-reader technology is its short communication range, which limits the sensing area. To overcome this problem, this paper proposes a portable RFID rea

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Li, Dongfang, Zetian Sun, Xinshuo Hu, Baotian Hu, and Min Zhang. "CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 23 (2025): 24413–21. https://doi.org/10.1609/aaai.v39i23.34619.

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Large Language Models (LLMs) need to adapt to the continuous changes in data, tasks, and user preferences. Due to their massive size and the high costs associated with training, LLMs are not suitable for frequent retraining. However, updates are necessary to keep them in sync with rapidly evolving human knowledge. To address these challenges, this paper proposes the Compression Memory Training (CMT) method, an efficient and effective online adaptation framework for LLMs that features robust knowledge retention capabilities. Inspired by human memory mechanisms, CMT compresses and extracts infor

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Arifin, Ajib Setyo, M. B. Fathinah Hanun, Eka Maulana, I. Wayan Mustika, and Fitri Yuli Zulkifli. "Design of a portable radio-frequency-identification reader capable to reading a user memory bank for smart-building energy management." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1538. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1538-1549.

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Communication is an important factor in smart-building energy management (SBEM). Many communications technologies have been applied to SBEM, including radio-frequency identification (RFID). RFID has been used not only for identification but also for carrying information, which is stored in a user memory bank attached to the tag. To access the user memory bank, an RFID reader should comply with ISO 18000-6C standards. The greatest challenge of RFID-reader technology is its short communication range, which limits the sensing area. To overcome this problem, this paper proposes a portable RFID rea

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Liu, Yuxin, Yuhan Zhang, Minxuan Hu, Yuming Tu, and Xinqi Dong. "User Behavior Analysis and Prediction Based on Differential Evolution Algorithm Optimized Transformer Combined with Bidirectional Long Short-Term Memory Neural Network." Applied and Computational Engineering 116, no. 1 (2024): 93–101. https://doi.org/10.54254/2755-2721/2025.20430.

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This paper discusses a method combining differential evolution algorithm and bidirectional long short-term memory neural network (BiLSTM) to optimize Transformer model, aiming to improve the accuracy of bank customer credit analysis and prediction. By optimizing the parameters of Transformer model through differential evolution algorithm and combining with the powerful time series analysis capability of BiLSTM, an efficient credit prediction model is constructed. In the process of model training, with the increase of the number of iterations, the correct rate of the model steadily improves and

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Liu, Yunjie, Mu Shengdong, Gu Jijian, and Nadia Nedjah. "Intelligent Prediction of Customer Churn with a Fused Attentional Deep Learning Model." Mathematics 10, no. 24 (2022): 4733. http://dx.doi.org/10.3390/math10244733.

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In recent years, churn rates in industries such as finance have increased, and the cost of acquiring new users is more than five times the cost of retaining existing users. To improve the intelligent prediction accuracy of customer churn rate, artificial intelligence is gradually used. In this paper, the bidirectional long short-term memory convolutional neural network (BiLSTM-CNN) model is integrated with recurrent neural networks (RNNs) and convolutional neural networks (CNNs) in parallel, which well solves the defective problem that RNNs and CNNs run separately, and it also solves the probl

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Md., Rezaul Islam, Shariful Islam Md., Shama Sharmin, Islam Chowdhury Aniruddha, and Masudul Hasan Lamyea Md. "Enhancing Bank Loan Approval Efficiency Using Machine Learning: An Ensemble Model Approach." Engineering and Technology Journal 9, no. 07 (2024): 4532–49. https://doi.org/10.5281/zenodo.12820040.

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Lending is a major source of income for banks, but identifying worthy borrowers who will consistently repay loans is a constant problem. From a pool of loan applicants, conventional selection procedures frequently fail to find the most qualified individuals. To make loan applications faster, we created a new system that uses machine learning to automatically find people who qualify for loans. This comprehensive analysis involves data preprocessing, effective data balancing using SMOTE, and the application of various machine learning models, including Decision Trees, Support Vector Machines, K-

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Luthfiansyah, Raihanda, and Budi Wasito. "Penerapan Teknik Deep Learning (Long Short Term Memory) dan Pendekatan Klasik (Regresi Linier) dalam Prediksi Pergerakan Saham BRI." Jurnal Informatika dan Bisnis 12, no. 2 (2023): 42–54. http://dx.doi.org/10.46806/jib.v12i2.1059.

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Perkembangan teknologi telah memengaruhi dunia investasi, termasuk investasi saham. Saham Bank Rakyat Indonesia (BRI) menjadi populer di pasar modal Indonesia karena kinerja keuangan yang baik. Namun, investor sering kesulitan dalam memilih saham yang tepat karena kurangnya informasi yang akurat dan efektif. Oleh karena itu, diperlukan analisis yang akurat dalam memilih saham yang tepat. Salah satu model prediksi adalah model algoritma LSTM yang memanfaatkan teknologi kecerdasan buatan (AI) dan machine learning. Penelitian ini bertujuan untuk membandingkan kinerja model algoritma LSTM dengan r

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Sumanta, Kabiraj, Gupta Anjli, and Subhashis Kumar Chandra Prof. "Operating System a Case Study." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 166–75. https://doi.org/10.31142/ijtsrd10780.

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An Operating System or OS is the most important software and program that can run all types of Computer, Mobile phone, Hand Held Device, etc. It helps to connect and interface computer hardware to program and application software and other common essential services. The OS is initially loaded on at boot time. Like a host, the OS acts for running and handling of application programs and operation of the hardware on the machine. The working principle of OS is first to configure then check ability to perform and then allow the program to run. Its main purpose is to handle the activities based on

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Distante, Cosimo, Laura Fineo, Luca Mainetti, Luigi Manco, Benito Taccardi, and Roberto Vergallo. "HF-SCA: Hands-Free Strong Customer Authentication Based on a Memory-Guided Attention Mechanisms." Journal of Risk and Financial Management 15, no. 8 (2022): 342. http://dx.doi.org/10.3390/jrfm15080342.

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Strong customer authentication (SCA) is a requirement of the European Union Revised Directive on Payment Services (PSD2) which ensures that electronic payments are performed with multifactor authentication. While increasing the security of electronic payments, the SCA impacted seriously on the shopping carts abandonment: an Italian bank computed that 22% of online purchases in the first semester of 2021 did not complete because of problems with the SCA. Luckily, the PSD2 allows the use of transaction risk analysis tool to exempt the SCA process. In this paper, we propose an unsupervised novel

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Van Vleet, Samuel, Rebekah Griffin, William Mallender, et al. "VESTA: A SMARTPHONE-BASED ASSESSMENT OF MODERN FINANCIAL CAPACITY FOR OLDER ADULTS." Innovation in Aging 7, Supplement_1 (2023): 680. http://dx.doi.org/10.1093/geroni/igad104.2210.

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Abstract Older adults are often targeted by financial scammers who exploit people unfamiliar with financial technologies and who may struggle to identifying fraudulent activity. Financial technologies have undergone significant changes in recent decades, yet financial capacity measures often do not reflect this shift. There is a clear need for innovating the measurement of financial capacity, particularly among older adults. VESTA (Virtual Economic Simulation and Trust Assessment) is a novel smartphone application that measures older adults’ susceptibility to different forms of financial explo

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Wang, Guo Cheng, Yan Peng Ma, Hai Tao Lu, Xuan Qi Chen, and Ping Li. "Clock Domains Cross FIFO Interface Design of Multichannel Continuous DDR2 Read and Write." Applied Mechanics and Materials 556-562 (May 2014): 1622–26. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1622.

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In this paper, a clock domains cross FIFO interface of multichannel continuous DDR2 read and write is designed. The interface provides continuous data stream from DDR2 to 12 different channels simultaneously. Four core issues are resolved: mismatch on bit width between DDR2 user interface and the channels, data stream conversion control from DDR2 to channels, clock domains difference between DDR2 and channels, Discontinuous process of DDR2 read and write. DDR2 storage spaces are partitioned for matching data width of the DDR2 user interface and the channels, and to achieve the maximum utilizat

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Almeida, Fernando Pedro Silva, Mauro Castelli, and Nadine Côrte-Real. "Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis." Emerging Science Journal 8, no. 6 (2024): 2120–43. https://doi.org/10.28991/esj-2024-08-06-01.

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Accurate cooling consumption forecasts are crucial for optimizing energy management, storage, and overall efficiency in interconnected HVAC systems. Weather conditions, building characteristics, and operational parameters significantly impact prediction accuracy. Since meteorological conditions highly influence cooling demand, leveraging external air data and user metrics offers a promising approach to estimate a building's hourly cooling energy usage. This study addresses the gap in existing research by comprehensively analyzing the performance of various machine learning algorithms, includin

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Cavers, Paul B. "Seed banks: Memory in soil." Canadian Journal of Soil Science 75, no. 1 (1995): 11–13. http://dx.doi.org/10.4141/cjss95-003.

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Approaches used to study seed banks and early publications on them are summarized. Current areas of interest are described, including the balance between herbicide-susceptible and herbicide-resistant seed populations, the effects of reduced tillage, the genetic structure of the seed bank, the role of desiccation, the impact of nutrients, oxygen and ortho-dihydroxyphenols, and methods of sampling seed banks and processing the data.

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Winarsih, Biyanti Dwi, Yayuk Fatmawati, and Sri Hartini. "Hubungan Status Gizi dan Status Hidrasi dengan Fungsi Memori Jangka Pendek Anak Usia Sekolah." Jurnal Litbang: Media Informasi Penelitian, Pengembangan dan IPTEK 17, no. 2 (2021): 115–30. http://dx.doi.org/10.33658/jl.v17i2.261.

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ENGLISHShort-term memory in school-age children is significant in the learning process and academic ability improvement. Adequate intake of nutrients and body fluids are needed to accelerate brain performance so that children have optimum memory function. A preliminary study on short term memory of students in SD N Gembong 2, Pati Regency showed that some students experienced a decrease in short-term memory. The objective of this study was to analyze the correlation between nutritional status and nutritional status with children's short-term memory. This study used a correlational design and i

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Pratiwi, Hesti Ratna, Ery Hermawati, and Umi Kalsum. "Pengaruh Kualitas Tidur terhadap Memori Jangka Pendek Mahasiswa Program Studi Kedokteran Universitas Tanjungpura." Cermin Dunia Kedokteran 49, no. 6 (2022): 305. http://dx.doi.org/10.55175/cdk.v49i6.1877.

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<p>Latar Belakang. Memori jangka pendek sebagai salah satu proses awal penerimaan informasi dianggap berperan penting dalam fungsi kognitif seseorang. Tujuan. Mengetahui pengaruh kualitas tidur terhadap memori jangka pendek mahasiswa Program Studi Kedokteran Universitas Tanjungpura. Metodologi. Penelitian dengan desain analitik menggunakan pendekatan potong lintang. Jumlah sampel 73 orang. Variabel bebas adalah kualitas tidur diukur dengan PSQI dan variabel terikat adalah memori jangka pendek diukur dengan Digit Span. Analisis statistik menggunakan Kolmogorov-Smirnov dan Mann-Whitney U T

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Pratiwi, Hesti Ratna, Ery Hermawati, and Umi Kalsum. "Pengaruh Kualitas Tidur terhadap Memori Jangka Pendek Mahasiswa Program Studi Kedokteran Universitas Tanjungpura." Cermin Dunia Kedokteran 49, no. 6 (2022): 305–9. http://dx.doi.org/10.55175/cdk.v49i6.237.

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Latar Belakang. Memori jangka pendek sebagai salah satu proses awal penerimaan informasi dianggap berperan penting dalam fungsi kognitif seseorang. Tujuan.Mengetahui pengaruh kualitas tidur terhadap memori jangka pendek mahasiswa Program Studi Kedokteran Universitas Tanjungpura. Metodologi. Penelitian dengan desain analitik menggunakan pendekatan potong lintang. Jumlah sampel 73 orang. Variabel bebas adalah kualitas tidur diukur dengan Pittsburgh sleep quality index (PSQI) dan variabel terikat adalah memori jangka pendek diukur dengan Digit Span. Analisis statistik menggunakan Kolmogorov-Smirn

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Merchant, Sana, Marvin S. Medow, Paul Visintainer, Courtney Terilli, and Julian M. Stewart. "Oscillatory lower body negative pressure impairs working memory task-related functional hyperemia in healthy volunteers." American Journal of Physiology-Heart and Circulatory Physiology 312, no. 4 (2017): H672—H680. http://dx.doi.org/10.1152/ajpheart.00438.2016.

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Neurovascular coupling (NVC) describes the link between an increase in task-related neural activity and increased cerebral blood flow denoted “functional hyperemia.” We previously showed induced cerebral blood flow oscillations suppressed functional hyperemia; conversely functional hyperemia also suppressed cerebral blood flow oscillations. We used lower body negative pressure (OLBNP) oscillations to force oscillations in middle cerebral artery cerebral blood flow velocity (CBFv). Here, we used N-back testing, an intellectual memory challenge as a neural activation task, to test the hypothesis

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Akbar, Muhammad Fachrian, Agustina Rahayu Magdaleni, Hary Nugroho, Endang Sawitri, and Arie Ibrahim. "Pengaruh Irama Sirkadian Terhadap Memori Jangka Pendek pada Mahasiswa Fakultas Kedokteran Universitas Mulawarman." Jurnal Sains dan Kesehatan 3, no. 5 (2021): 722–26. http://dx.doi.org/10.25026/jsk.v3i5.653.

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ABSTRACT Short-term memory is a form of cognitive function to store information in a short time, which is important to support daily work and learning activities. Circadian rhythm is a physical, mental, and behavioral changes that occurs in 24-hour daily cycle which is believed to be a factor that affecting short term memory , for example sleep-wake cycle. This study was aimed to determine the effect of routinity of aerobic on short-term memory in students at the Faculty of Medicine, University of Mulawarman. This analytic observational study with cross-sectional method used 94 male resp

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Elshafei, Ali, Daniela Romano, and Irene Samy. "The Effect of Directional Tactile Memory of the Back of the User on Reaction Time and Accuracy." Electronics 13, no. 13 (2024): 2482. http://dx.doi.org/10.3390/electronics13132482.

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Tactile memory is the cognitive process of storing and recalling information that has been perceived through the sense of touch. Directional tactile memory involves the encoding and retrieval of sensory data associated with a tactile experience, allowing individuals to remember and recognize directional information encoded through the sense of touch. A new method for providing directional tactile feedback, at the back of the user, has been developed to investigate the efficacy of directional tactile memory, its decay over time, and its impact during a concurrent cognitive task. Two experiments

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Nugraha, Daffa Satria, Ketut Tirtayasa, Indira Vidiari Juhanna, and Nila Wahyuni. "Hubungan kebugaran jasmani terhadap kemampuan memori jangka pendek pada mahasiswa program studi sarjana kedokteran fakultas kedokteran Universitas Udayana." Intisari Sains Medis 14, no. 1 (2023): 371–76. http://dx.doi.org/10.15562/ism.v14i1.1687.

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Background: Physical fitness is one aspect that needs to be fulfilled by humans in order to be able to carry out activities without feeling significant fatigue. Short-term memory is a memory storage system with limited capabilities. The educational process requires good memory skills so that a person can receive information that can then be processed according to the individual's needs. Increased physical fitness caused by aerobic exercise has been reported to be able to increase brain perfusion and plasticity in the hippocampal area which then improves memory abilities. This study aims to det

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Alaameri, Zahra Hasan Oleiwi, and Mustafa Abdulsahib Faihan. "Forecasting the Accounting Profits of the Banks Listed in Iraq Stock Exchange Using Artificial Neural Networks." Webology 19, no. 1 (2022): 2669–82. http://dx.doi.org/10.14704/web/v19i1/web19177.

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This paper demonstrates the feasibility of using deep learning approaches in time series forecasting of bank profits. Two types of neural networks were used, LSTM (Long-Short Term Memory) and NAR (Nonlinear Autoregressive) networks, for comparison. The data from 12 Iraqi banks, which are registered in the Iraq stock exchange, were involved in this study for sixteen years (2004-2019). RMSE and MAPE were used for comparing the performance of the two models (LSTM and NAR). Our results showed that the NAR is more accurate than LSTM for the prediction of profits. And that the use of the NAR network

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Kamalloo, Ehsan, and Mohammad Saniee Abadeh. "Credit Risk Prediction Using Fuzzy Immune Learning." Advances in Fuzzy Systems 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/651324.

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The use of credit has grown considerably in recent years. Banks and financial institutions confront credit risks to conduct their business. Good management of these risks is a key factor to increase profitability. Therefore, every bank needs to predict the credit risks of its customers. Credit risk prediction has been widely studied in the field of data mining as a classification problem. This paper proposes a new classifier using immune principles and fuzzy rules to predict quality factors of individuals in banks. The proposed model is combined with fuzzy pattern classification to extract acc

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Inguscio, Bianca Maria Serena, Giulia Cartocci, Nicolina Sciaraffa, et al. "Neurophysiological Verbal Working Memory Patterns in Children: Searching for a Benchmark of Modality Differences in Audio/Video Stimuli Processing." Computational Intelligence and Neuroscience 2021 (December 20, 2021): 1–17. http://dx.doi.org/10.1155/2021/4158580.

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Exploration of specific brain areas involved in verbal working memory (VWM) is a powerful but not widely used tool for the study of different sensory modalities, especially in children. In this study, for the first time, we used electroencephalography (EEG) to investigate neurophysiological similarities and differences in response to the same verbal stimuli, expressed in the auditory and visual modality during the n-back task with varying memory load in children. Since VWM plays an important role in learning ability, we wanted to investigate whether children elaborated the verbal input from au

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Prince, Priyanka, Claude Alain, Joseph Chen, Trung Le, Vincent Lin, and Andrew Dimitrijevic. "Effects of age on the neural correlates of auditory working memory in cochlear implant users." PLOS One 20, no. 6 (2025): e0325930. https://doi.org/10.1371/journal.pone.0325930.

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Following a conversation in a noisy environment is challenging, especially for individuals who received cochlear implants (CIs) to remediate severe-to-profound hearing loss. CI users likely work harder than their normal-hearing counterparts to understand speech in adverse listening conditions. Recruiting cognitive resources can be taxing and may interfere with attentional regulation and working memory processes. Few studies have, however, examined the impact of CIs on the neural correlates of attention and working memory. We used a high-density electroencephalogram to investigate behavioural a

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Nemanim, N., C. Hinkin, and E. Singer. "B-14 Differences in Performance of Memory Tasks in HIV + Cocaine and Methamphetamine Users." Archives of Clinical Neuropsychology 34, no. 6 (2019): 958. http://dx.doi.org/10.1093/arclin/acz034.97.

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Abstract Objective Approximately 1.2 million people in the U.S. are infected with HIV (HIV+), many of whom use stimulants. Recent meta-analytical work supports differing neurocognitive profiles associated with methamphetamine and cocaine use in seronegative individuals, especially in the domain of memory. Both substances are associated with deficits in verbal working memory, while only methamphetamine is associated with deficits in delayed contextual verbal memory and delayed visual memory. This study serves to replicate these findings amongst an HIV+ sample. Methods The performance of 88 HIV+

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Imad, Zyout, and Zyout Mo'ath. "Sentiment analysis of student feed back using attention-based RNN and transformer embedding." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 2173–84. https://doi.org/10.11591/ijai.v13.i2.pp2173-2184.

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Sentiment analysis systems aim to assess people’s opinions across various domains by collecting and categorizing feedback and reviews. In our study, researchers put forward a sentiment analysis system that leverages three distinct embedding techniques: automatic, global vectors (GloVe) for word representation, and bidirectional encoder representations from transformers (BERT). This system features an attention layer, with the best model chosen through rigorous comparisons. In developing the sentiment analysis model, we employeda hybrid dataset comprising students’ feedback and comm

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Liu, Li Xian, Shuangzhe Liu, and Milind Sathye. "Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research." Journal of Risk and Financial Management 14, no. 10 (2021): 474. http://dx.doi.org/10.3390/jrfm14100474.

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Risk management has been a topic of great interest to Michael McAleer. Even as recent as 2020, his paper on risk management for COVID-19 was published. In his memory, this article is focused on bankruptcy risk in financial firms. For financial institutions in particular, banks are considered special, given that they perform risk management functions that are unique. Risks in banking arise from both internal and external factors. The GFC underlined the need for comprehensive risk management, and researchers since then have been working towards fulfilling that need. Similarly, the central banks

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Braithwaite, R. Neil. "Sampling requirements for nonlinear basis waveforms used in digital predistortion and amplifier modeling." International Journal of Microwave and Wireless Technologies 5, no. 2 (2013): 103–13. http://dx.doi.org/10.1017/s1759078713000081.

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Power amplifier (PA) nonlinearities and the digital predistortion (DPD) required for linearization are modeled at baseband using the memoryless polynomial, memory polynomial, and pruned Volterra series. The sampling requirements for the nonlinear basis waveforms created from a band-limited signal are determined as a function of the polynomial order. A Gaussian approximation of the channel filtering is used to make the mathematical analysis tractable. For the memory polynomial and pruned Volterra series cases, the spacing between memory taps, referred to as the delay offset, is selected to trad

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Ionescu, Dawn F., Allison C. Nugent, David A. Luckenbaugh, et al. "Baseline working memory activation deficits in dimensional anxious depression as detected by magnetoencephalography." Acta Neuropsychiatrica 27, no. 3 (2015): 143–52. http://dx.doi.org/10.1017/neu.2014.46.

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ObjectiveAnxiety often co-occurs with major depressive disorder (MDD). This preliminary study sought to ascertain the extent to which anxious depression drives group neurobiological differences between patients with MDD and healthy volunteers (HVs).MethodsMagnetoencephalography beta-band frequency was used to compare differences in brain response during the N-back working memory task between 30 medication-free patients with treatment-resistant MDD (anxious depression=18; nonanxious depression=12) and 28 HVs.ResultsCompared to HVs, patients with anxious depression had significantly reduced desy

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Mushliha, Mushliha. "Implementasi CNN-BiLSTM untuk Prediksi Harga Saham Bank Syariah di Indonesia." Jambura Journal of Mathematics 6, no. 2 (2024): 195–203. http://dx.doi.org/10.37905/jjom.v6i2.26509.

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Stock price forecasting plays a crucial role in stock investment. Accuracy in predicting stock prices can provide significant financial benefits and help reduce investment risks. Stock price data are time series with high-frequency characteristics, non-linearity, and long memory, which makes stock price prediction a complex challenge. This research proposes a method for predicting the stock prices of Islamic banks in Indonesia using CNN-BiLSTM. This method aims to improve prediction accuracy by utilizing the feature extraction capabilities of CNN and the ability of BiLSTM to understand the tem

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Nawaz, Rab, Guilherme Wood, Humaira Nisar, and Vooi Voon Yap. "Exploring the Effects of EEG-Based Alpha Neurofeedback on Working Memory Capacity in Healthy Participants." Bioengineering 10, no. 2 (2023): 200. http://dx.doi.org/10.3390/bioengineering10020200.

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Neurofeedback, an operant conditioning neuromodulation technique, uses information from brain activities in real-time via brain–computer interface (BCI) technology. This technique has been utilized to enhance the cognitive abilities, including working memory performance, of human beings. The aims of this study are to investigate how alpha neurofeedback can improve working memory performance in healthy participants and to explore the underlying neural mechanisms in a working memory task before and after neurofeedback. Thirty-six participants divided into the NFT group and the control group part

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Zhang, Bo, and Nigel Robb. "Immersion Experiences in a Tablet-Based Markerless Augmented Reality Working Memory Game: Randomized Controlled Trial and User Experience Study." JMIR Serious Games 9, no. 4 (2021): e27036. http://dx.doi.org/10.2196/27036.

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Background In recent years, augmented reality (AR), especially markerless augmented reality (MAR), has been used more prevalently to create training games in an attempt to improve humans' cognitive functions. This has been driven by studies claiming that MAR provides users with more immersive experiences that are situated in the real world. Currently, no studies have scientifically investigated the immersion experience of users in a MAR cognitive training game. Moreover, there is an observed lack of instruments on measuring immersion in MAR cognitive training games. Objective This study, using

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Abdul-Wahab, Omar W. "ORGANIZATION OF MEMORY CHIPS IN MEMORY SYSTEMS THAT HAVE WORD SIZE WIDER THAN 8-BIT." Journal of Engineering 17, no. 06 (2011): 1417–25. http://dx.doi.org/10.31026/j.eng.2011.06.09.

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This paper presents a method to organize memory chips when they are used to build memory systems that have word size wider than 8-bit. Most memory chips have 8-bit word size. When the memory system has to be built from several memory chips of various sizes, this method gives all possible organizations of these chips in the memory system. This paper also suggests a precise definition of the term “memory bank” that is usually used in memory systems. Finally, an illustrative design problem was taken to illustrate the presented method practically

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Subandrio, Dhea Mariella, Nanda Alifia Kuswandari, Nanda Putri Rahayu, Natasya Hanum Salsabila, Salsabila Dihandrijayanti, and Laila Indra Lestari. "Pengaruh Mendengarkan Musik terhadap Memori pada Mahasiswa." Flourishing Journal 4, no. 10 (2024): 492–503. https://doi.org/10.17977/um070v4i102024p492-503.

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Memory is the process of storing, processing, remembering and retrieving information with a range of short-term to long-term memory. Everyone has various ways and styles of learning, one of the most common learning styles used by students is studying while listening to music. This study aims to determine the performance of memory in students of the State University of Malang in the activity of reading a text while listening to music from various genres, such as pop music and classical music. This study took 60 participants from the State University of Malang by setting exclusion criteria in th

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Giannoula, Christina, Ivan Fernandez, Juan Gómez-Luna, Nectarios Koziris, Georgios Goumas, and Onur Mutlu. "Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures." ACM SIGMETRICS Performance Evaluation Review 50, no. 1 (2022): 33–34. http://dx.doi.org/10.1145/3547353.3522661.

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Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures place simple cores close to DRAM banks. Recent research demonstrates that they can yield significant performance and energy improvements in parallel applications by alleviating data access costs. Real PIM systems can provide high levels of parallelism, large aggregate memory bandwidth and low memory access latency, thereby being a good fit to accelerate the Sparse Matrix Vector Multiplication (SpMV) kernel. SpMV has been

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Darrow, David P., Xiyuan Yan, Tariq Hattab, et al. "1007 Working Memory is Supported by Ramping Evidence Accumulation in the Dorsolateral Prefrontal Cortex." Neurosurgery 71, Supplement_1 (2025): 130. https://doi.org/10.1227/neu.0000000000003360_1007.

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INTRODUCTION: Working memory (WM) is a fundamental and ubiquitous cognitive process allowing for the temporary storage and manipulation of information necessary for complex cognitive tasks often localized to the dorsolateral prefrontal cortex (DLPFC) in animal studies and fMRI studies. Sequential sampling and evidence accumulation represent one theory of how the brain computes working memory but lacks rigorous empirical evidence in humans. METHODS: Ten phase-2 epilepsy participants with DLPFC intracranial coverage engaged in an N-back WM task over multiple sessions. Intracranial EEG was analyz

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Lee, Po-Lei, Wai-Keung Lee, Hsiao-Huang Chang, Hao-Teng Hsu, and Ting-Kuang Yeh. "Real-Time Cognitive Load Measurement in Classroom Environment using a Dry-Electrode EEG system." International Journal of Clinical Medicine and Bioengineering 1, no. 1 (2021): 46–52. http://dx.doi.org/10.35745/ijcmb2021v01.01.0006.

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Cognitive load (CL) theory suggests that instructional materials need to be designed for reducing unnecessary CL and has been regarded as one of the most influential theories in science education. How to measure individual CL is still under investigation. In this study, we developed an eight-channel dry-electrode electroencephalogram (EEG) system and proposed an algorithm to real-time measure the depth of working memory of the N-back task in a classroom environment. The ocular artifact was removed by using the recursive least-square (RLS) method. Time-frequency analysis was applied to extract

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Zhang, Da Wei, Jia Jia Zhang, Rui Wei, Jing Wen Xia, Dan Ni Jiao, and Yun Xiao Pan. "Laser-Induced Shape Memory Polymer Actuator Used in a Deployable Display." Applied Mechanics and Materials 333-335 (July 2013): 1926–29. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1926.

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Deployable flexible displays attract a great attention recently. The flexible display used on electronic equipment have been developed, which can deploy to reveal a much larger screen or rolled up. However, one of major problems is its actuation of deployment and fixture. In this paper, a deployable display actuated by the SMP actuator is proposed. The shape memory polymer (SMP) actuator, which is considered to be attached to the back side of a flexible display, is used to deploy and fix the flexible display. A new method of laser-induced actuation of SMP actuator is investigated. By this meth

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Sternberg, Robert L. "Multiple Fourier analysis for bang-bang controls with memory." European Journal of Applied Mathematics 3, no. 1 (1992): 75–92. http://dx.doi.org/10.1017/s0956792500000693.

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Bennett functions , (h, k), defined below and elsewhere, have been used extensively in Fourier analysing the output of certain devices such as rectifiers, limiters and other instantaneous modulators responding to a two-frequency input for which the output at time t depends only on the device input–output characteristic Y = Y(X) and the input at time t. Here, with the aid of a new set of modified Bennett functions , (h, k), these methods are extended to solve the same problems for non-instantaneous bang-bang controls with multivalued input–output characteristics Y = Y(X) and hence having memory

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Khotimah, Husnul, Asep Supena, and Nandang Hidayat. "Meningkatkan attensi belajar siswa kelas awal melalui media visual." Jurnal Pendidikan Anak 8, no. 1 (2019): 17–28. http://dx.doi.org/10.21831/jpa.v8i1.22657.

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Penelitian literatur ini bertujuan untuk mencari solusi terkait dengan upaya meningkatan perhatian siswa khususnya ditingkat awal yaitu kelas 1, 2 dan 3 terhadap tugas belajarnya selama proses pembelajaran berlangsung menggunakan media pembelajaran visual. Penelitian ini menggunakan metode tinjauan literatur integratif. Metode ini menggabungkan berbagai artikel berbasis empiris dan penelitian, buku, dan literatur lain yang dipublikasikan tentang penggunaan media visual dalam meningkatkan perhatian belajar siswa kelas awal tersebut. Penelitian literatur ini menyimpulkan: (1) Perhatian adalah pr

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Giannoula, Christina, Ivan Fernandez, Juan Gómez Luna, Nectarios Koziris, Georgios Goumas, and Onur Mutlu. "SparseP." Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, no. 1 (2022): 1–49. http://dx.doi.org/10.1145/3508041.

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Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures place simple cores close to DRAM banks. Recent research demonstrates that they can yield significant performance and energy improvements in parallel applications by alleviating data access costs. Real PIM systems can provide high levels of parallelism, large aggregate memory bandwidth and low memory access latency, thereby being a good fit to accelerate the Sparse Matrix Vector Multiplication (SpMV) kernel. SpMV has been

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T, Manindra, and Pradeep K. V. "DATA COMPRESSION TECHNIQUE FOR CLOUD STORAGE IN MULTI-USER ENVIRONMENTS." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (2017): 82. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19570.

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In many associations, the cloud storages contain a copy (duplicates) of information. For example, the same file would be spared in various locations by different users; too many documents that are not differentiable may in any case duplication a great part of the same data. This consumes lots of memory in cloud storage. Deduplication is a kind of technique used to eliminate duplicate entries on cloud storage. It helps us to remove the duplicate entries of these additional duplicates, by maintaining only one duplicate of the information and giving ownership rights to the alternate duplicates wi

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Шнюков, А. В., and Е. А. Шнюкова. "Financial and information security of computer and smartphone users." Экономика и предпринимательство, no. 1(138) (April 15, 2022): 1440–44. http://dx.doi.org/10.34925/eip.2022.138.1.288.

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Содержимое памяти компьютеров и смартфонов граждан представляет сегодня ценность для злоумышленников, которые совершают преступления. Это может привести к потере средств с банковских счетов и карт физического лица и его конфиденциальной информации. В статье рассматриваются способы минимизации финансовых и информационных рисков физического лица в сфере информационных технологий при потере, краже или поломке смартфона; при использовании бесконтактной оплаты с помощью смартфона; уязвимости домашнего компьютера и сетей WiFi. The contents of the memory of citizens' computers and smartphones are now

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Travada SP, Eko, and Darsanto. "SISTEM MONITORING MESIN MENGGUNAKAN MULTIPROSESOR SERI AVR DENGAN METODA POOLING." TEKNOKOM 2, no. 1 (2019): 41–46. http://dx.doi.org/10.31943/teknokom.v2i1.34.

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Pemilihan teknologi untuk mendeteksi mesin industri dengan nilai ekonomis rendah, mudah perawatantapi dengan presisi yang baik umumnya menjadi pilihan di dalam suatu industri agar biaya operasionaltidak terlalu tinggi. Teknologi yang bisa digunakan adalah mikrokontroller. Mikrokontroller adalahsuatu prosesor yang penggunaan bersifat khusus bukan untuk multi user seperti halnya mikroprosesordi suatu perangkat komputer. Mikrokontroler dengan kelebihannya yaitu memiliki nilai ekonomis tapitetap memiliki presisi yang baik memiliki keterbatasan di kecepatan dan kapasitas memory. Untuk itudibutuhkan

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Flint, Kate. "Photographic Memory." Articles, no. 53 (May 12, 2009): 0. http://dx.doi.org/10.7202/029898ar.

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Abstract In this essay, I discuss the relationship between photography, photographic technology, and memory in the final decades of the nineteenth century. I do so first in relation to the desire to possess actual material memories of the deceased, and then move to consider the way in which the photograph was often used as a metaphor for the processes of memory. I argue that apart from exceptional cases, this was, in fact, a false analogy. Taking Amy Levy’s 1888 novel The Romance of a Shop as a text through which to examine both death-bed photography and the workings of memory, I explore the i

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Assari, Shervin, Shanika Boyce, Mohsen Bazargan, and Cleopatra H. Caldwell. "Family Income Mediates the Effect of Parental Education on Adolescents’ Hippocampus Activation During an N-Back Memory Task." Brain Sciences 10, no. 8 (2020): 520. http://dx.doi.org/10.3390/brainsci10080520.

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Introduction: Hippocampus, a medial temporal lobe structure, has significant implications in memory formation and learning. Although hippocampus activity is believed to be affected by socioeconomic status (SES), limited knowledge exists on which SES indicators influence hippocampus function. Purpose: This study explored the separate and combined effects of three SES indicators, namely parental education, family income, and neighborhood income, on adolescents’ hippocampus activation during an N-Back memory task. As some of the effects of parental education may be through income, we also tested

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Bloomfield, Michael A. P., Sebastian F. Green, Chandni Hindocha, et al. "The effects of acute cannabidiol on cerebral blood flow and its relationship to memory: An arterial spin labelling magnetic resonance imaging study." Journal of Psychopharmacology 34, no. 9 (2020): 981–89. http://dx.doi.org/10.1177/0269881120936419.

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Background: Cannabidiol (CBD) is being investigated as a potential treatment for several medical indications, many of which are characterised by altered memory processing. However, the mechanisms underlying these effects are unclear. Aims: Our primary aim was to investigate how CBD influences cerebral blood flow (CBF) in regions involved in memory processing. Our secondary aim was to determine if the effects of CBD on CBF were associated with differences in working and episodic memory task performance. Methods: We used a randomised, crossover, double-blind design in which 15 healthy participan

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Marini, S., C. Ranalli, C. Di Gregorio, et al. "Borderline personality disorder and working memory: A systematic review." European Psychiatry 33, S1 (2016): S211—S212. http://dx.doi.org/10.1016/j.eurpsy.2016.01.509.

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Purpose of the studyThe purpose of this study was to investigate cognitive functioning in Borderline Personality Disorder subjects, with particular reference to the Working Memory functioning. The Working Memory seems to be relate to core features of the disturb. The final aim was to better understand the disorder and to implement a cognitive training to improve the deficits.MethodsA literature search was conducted in April 2015. Pubmed and Scopus databases were used to find studies to include in the systematic review. The keywords used for the literature search were: “borderline personality d

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Pang, Bo, Deming Zhai, Junjun Jiang, and Xianming Liu. "Fully Unsupervised Person Re-Identification via Selective Contrastive Learning." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 2 (2022): 1–15. http://dx.doi.org/10.1145/3485061.

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Person re-identification (ReID) aims at searching the same identity person among images captured by various cameras. Existing fully supervised person ReID methods usually suffer from poor generalization capability caused by domain gaps. Unsupervised person ReID has attracted a lot of attention recently, because it works without intensive manual annotation and thus shows great potential in adapting to new conditions. Representation learning plays a critical role in unsupervised person ReID. In this work, we propose a novel selective contrastive learning framework for fully unsupervised feature

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Rizqiana, Zulfanita Dien, Izzat Muhammad Akhsan, Intan Indrasara Priyanto, and Aninda Sabila Maharani. "Long Short Term Memory For Comparison Between Bank Syariah Indonesia And PT Bank Artos Indonesia Shares." JISA(Jurnal Informatika dan Sains) 7, no. 2 (2024): 226–32. https://doi.org/10.31326/jisa.v7i2.2131.

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The growth of the capital market in Indonesia has increased from year to year. Based on data from the Indonesia Central Securities Corporation (KSEI), there has been an increase in investor growth in the capital market by 2.34%, mutual funds by 2.44%, and shares by 1.34% until August 2024. The demographic of individual investors in the capital market is dominated by Generation Z who are younger than from 30 years as much as 55.07% in August 2024 (KSEI, 2024). Shares are a form of investment that has the potential for large profits but with small risks. One sector that Gen Z is interested in in

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