Progression to AIDS in South Africa is associated with both reverting and compensatory viral mutations. by Kuan-Hsiang Gary Huang, Dominique Goedhals, Jonathan M Carlson, Mark A Brockman, Swati Mishra, Zabrina L Brumme, Stephen Hickling, Christopher S W Tang, Toshiyuki Miura, Chris Seebregts, David Heckerman, Thumbi Ndung'u, Bruce Walker, Paul Klenerman, Dewald Steyn, Philip Goulder, Rodney Phillips, Bloemfontein-Oxford Collaborative Group, Cloete van Vuuren, John Frater

“…Mutations at HIV Gag T186S and T242N reduced VRC, however, in advanced disease only the T242N mutants demonstrated increasing VRC, and were associated with compensatory mutations (p = 0.013). These data provide novel insights into the mechanisms of HIV disease progression in South Africa. …”
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A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification by Walaa Ghamrawi, Nathan Curtis, Jialang Xu, Matt Boal, Evangelos Mazomenos, Eddie Edwards, Danail Stoyanov, Nader Francis

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Assessment of students, knowledge regarding AIDS in Medical Technical Institute in Erbil City by Nazar Ali Sheren, Radhwan Hussein Ibrahim, Kareem F.Aziz Al-Barzingy

“…An interview technique method was used for data collection. Results: The study indicated that there was deficient knowledge among study sample about AIDS regardless of different variables such as (age, gender, residency, social factors and economic status. …”
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PyEMILI: A New Generation Computer-aided Spectral Line Identifier by Zhijun Tu, Xuan Fang, Robert Williams, Jifeng Liu

“…In our new code PyEMILI, the major shortcomings in EMILI’s line-identification technique have been amended. Moreover, the atomic transition database utilized by PyEMILI was adopted from Atomic Line List v3.00b4 but greatly supplemented with theoretical transition data from the literature. …”
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Acoustic Localisation as a Tool to Aid Monitoring of Golden Jackals (Canis aureus) by Bethany R. Smith, Elisabeth Bru, Mihaela Faur, Arik Kershenbaum

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CyclicAugment: Optimized Medical Image Analysis via Adaptive Augmentation Intensity by Min-Jun Kim, Jung-Woo Chae, Hyun-Chong Cho

“…Although conventional data-augmentation techniques can help mitigate these limitations, excessive augmentation may distort critical diagnostic information, leading to suboptimal performance. …”
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The integration of compressive sensing and clustering for date gathering in unmanned aircraft system–aided networks by Xiangmao Chang, Quan Wang, Zhiguo Qu, Yanchao Zhao

“…In traditional sensor networks, compressive sensing and clustering are two key energy-efficient techniques for data gathering. However, how to integrate two techniques into the data gathering for unmanned aircraft system–aided wireless sensor networks effectively is still an open problem. …”
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Enhancing Corn Image Resolution Captured by Unmanned Aerial Vehicles With the Aid of Deep Learning by Emilia Alves Nogueira, Bruno Moraes Rocha, Gabriel da Silva Vieira, Afonso Ueslei da Fonseca, Juliana Paula Felix, Antonio Oliveira-Jr, Fabrizzio Soares

“…These techniques can aid in the early detection of pests, diseases, and nutritional deficiencies, facilitating faster and more effective interventions in corn crops. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…By employing a spectrum of techniques, from classic machine learning (ML), often valued for its interpretability and efficiency with structured data, to deep learning (DL), which excels at extracting intricate features directly from image and video data, the field now achieves more accurate, automated, and high-throughput evaluations. …”
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Playback‐Aided Surveys and Acoustic Monitoring in the Detection of the Endangered Forest Owlet Athene blewitti by Amrutha Rajan, Aditi Neema, Pranav G. Trivedi, Sejal Worah, Meera M. R., Shomita Mukherjee, V. V. Robin

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Business partnership, women empowerment and support to women living with HIV/AIDS in Kabale, Uganda. by Mwosi, Fabian, Eton, Marus, Aluonzi, Burani, Olupot, Simon Peter, Alia, Richard

“…Research Methodology: This study adopted systematic sampling techniques for data collection from 123 women living with HIV/AIDS from a designated health center in Kabale Municipality. …”
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GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication by Vendi Ardianto Nugroho, Byung Moo Lee

“…These outcomes stem from a proposed data splitting method ensuring balanced label distribution, paired with a GPS preprocessing technique that extracts key positional features, and a DL architecture that maps sequential position data to beam index predictions. …”
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A HOMER-Aided Study for PV System Design and Cost Analysis for a College Campus in Baghdad by Luqman Q. Ibrahim, Ahmed J. Abid, Adel A. Obed, Ameer L. Saleh, Reheel J. Hassoon

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Simulation of three dimensional diffraction patterns as aid of structural analysis for complex epitaxial films by Yajun Tao, Erhao Peng, Qingyu He, Xinyan Chen, Jiangxiao Li, Yuting Wang, Yongqi Dong, Zhe Sun, Zhenlin Luo

“…In this work, we proposed a strategy that utilizes simulated 3D-RSM diffraction patterns as aid of data analysis. With this approach, the one-to-one correspondence between diffraction spots and domain variants, as well as the quantitative lattice constants and crystal system have been identified in sequence for two typical cases, either epitaxial PbTiO3/SmScO3(001) film or (CoCrFeMnNi)3O4 alloy film epitaxially grown on LaAlO3(001) substrate. …”
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Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review by Jia-Mei Chen, Yan Li, Jun Xu, Lei Gong, Lin-Wei Wang, Wen-Lou Liu, Juan Liu

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Hybrid AE and Bi-LSTM-Aided Sparse Multipath Channel Estimation in OFDM Systems by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…OFDM is a powerful modulation technique that efficiently transmits high-speed digital data over frequency-selective fading channels. …”
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Reducing pilot overhead with distributed neural networks in RIS-aided downlink channel estimation by Zaid Albataineh

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User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network by Huaiwen He, Chenghao Zhou, Feng Huang, Hong Shen, Yihong Yang, Shangsong Liang, Xinyuan Jin

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Deep Federated Learning Based Convergence Analysis in Relaying-Aided MEC-IoT Networks by Jun Liu, Tao Cui, Lin Zhang, Yuwei Zhang, Jing Wang, Chao Li, Kai Chen, Huang Huang, Xuan Zhou, Wei Zhou, Sun Li, Suili Feng, Dongqing Xie, Yun Li, Haige Xiang, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, Wen Zhou, Fusheng Zhu, Liming Chen, Dan Deng, Zhao Wang, Yajuan Tang

“…In a relaying-aided MEC-IoT system, it is of vital importance to deeply investigate the system signal-to-noise ratio (SNR) at the receiver side, as it mainly determines the system performance metrics, such as capacity (or achievable data rate), outage probability, and bit-error-rate (BER). …”
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HIV and AIDS prevention behavior among housewives in South Purwokerto sub-district, Indonesia by Colti Sistiarani, Dian Anandari, Elviera Gamelia

“…Material and methods In this quantitative cross-sectional study, health belief model (HBM) was employed to determine individual acceptance in conducting HIV and AIDS prevention behavior. A total of a 100 housewives from South Purwokerto sub-district were included using proportional random sampling technique. …”
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