HIV Vaccine: Recent Advances, Current Roadblocks, and Future Directions by Muni Rubens, Venkataraghavan Ramamoorthy, Anshul Saxena, Nancy Shehadeh, Sandeep Appunni

“…Studies have shown that a number of host and viral factors affect these processes. Similarly, eliciting specific CD8 T cells immune responses through DNA vaccines hold future promises. …”
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A method for pre-determining edges in 3D point clouds using contour detectors in images by D. G. Filipov, S. L. Katsarska-Filipova, P. L. Raeva

“…For this purpose, based on the photogrammetrically captured images and predefined and automated processing, masks are created that isolate only the contours and edges. …”
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Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators by Xuelei Li, Zhichao Wang, Yi Pan, Jintao Meng, Shengzhong Feng, Yanjie Wei

“…Besides, SWsnn relies on parallel Compute Processing Elements (CPEs) rather than serial Manage Processing Element (MPE) to control the communicating buffers, using Register-Level Communication (RLC) and Direct Memory Access (DMA). …”
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Acute myeloid leukemia-derived extracellular vesicles induced DNA methylation changes responsible for inflammatory program in normal hematopoietic stem progenitor cells by Daniela Lamorte, Giovanni Calice, Stefania Trino, Michele Santodirocco, Antonella Caivano, Luciana De Luca, Ilaria Laurenzana

“…This communication can be mediated by Extracellular Vesicles (EVs), small vectors carrying a range of tumor molecular information. …”
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A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes by Pradeep Kumar Yadalam, Amit Rajabhau Pawar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…The proposed DualFit model architecture consists of two main branches: a Text Processing Branch for converting textual data into dense vectors and a Feature Processing Branch for analyzing numerical and categorical data. …”
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The Impact of COVID-19 on RNA Therapeutics: A Surge in Lipid Nanoparticles and Alternative Delivery Systems by Nargish Parvin, Tapas K. Mandal, Sang-Woo Joo

“…Additionally, we examine the pandemic’s influence on regulatory processes, including the fast-tracked approvals for RNA therapies, and the surge in research funding that has spurred further innovation in the field. …”
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Assessment of the institutional trust level of students in modern Russian society in the context of global cultural and digital transformations by M. A. Tanina, V. V. Bondarenko, V. A. Yudina, O. A. Zyablikova

“…At the same time, youth is part of the Russian society with which the strategic prospects for progress of the country and vectors of socio-economic transformations are connected. …”
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FPGA Programming Challenges When Estimating Power Spectral Density and Autocorrelation in Coherent Doppler Lidar Systems for Wind Sensing by Sameh Abdelazim, David Santoro, Fred Moshary

“…The second algorithm computes the autocorrelation of the received signals and accumulates the results over the same number of pulses. Both signal pre-processing algorithms are initially developed as logic designs and compiled using the Xilinx System Generator toolset to produce a hardware VLSI image. …”
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Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter by Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Mohammed M. Alhaider

“…To reduce computational complexity, the FS-MPC selectively employs 30 out of 64 switching vectors, ensuring faster processing without sacrificing performance. …”
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SUPERMAGOv2: Protein Function Prediction via Transformer Embeddings and Bitscore-Weighted Features by Gabriel Bianchin de Oliveira, Helio Pedrini, Zanoni Dias

“…Our machine learning-based model (SUPERMAGOv2) utilizes transformer-based backbones to extract features from multiple layers, which are then processed by six multilayer perceptrons that incorporate a novel bitscore-weighted input derived from DIAMOND alignments, and by an image classification model that converts the extracted feature vectors into images. …”
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Os Perímetros Irrigados do Baixo Jagurige no estado do Ceará [Brasil]: uma experiência referencial de projeto territorial sustentável by André Munhoz de Argollo Ferrão, Luci Mehry Martins Braga, Carlos Eduardo Pozzer

“…As with the implementation processes of the Lower Jaguaribe Irrigated Perimeters (state of Ceará, in Northeastern Brazil), where references and conceptual strategies of urban thought can be recognized. …”
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Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…As a result, the total number of alignment vectors is reduced in proportion to the ratio of subsets sizes and the computational complexity of the dynamic range transformation is reduced.Conclusion. …”
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Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…In this work, we balance the spectral efficiency and the required power, which will reduce the signalling overheads and processing in high-density radio access networks. More specifically, a linear channel estimation (based on the MMSE technique) is employed to design the Conjugate Beamforming vectors. …”
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A Combined Approach to Safety and Security of IoT by Applying Fault Tree Analysis and Attack Trees with Minimal Cut Sets by Mohammad Rezaul Karim, Sohag Kabir, Ci Lei, Raluca Lefticaru, Mohammad Abdul Baset

“…FTA systematically identifies root causes of system failures, while AT models attack vectors and their probabilities. By deriving MCS—minimal combinations of safety faults and security breaches—the approach reveals critical scenarios where failures and attacks interact, enabling prioritized mitigation. …”
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DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments by Ke Xiong, Zhonghao Wu,  Xuzhong Jia

“…The system architecture incorporates specialized components for real-time data collection, processing, and analysis, achieving a detection accuracy of 96.8% with an average response latency of 7.3ms. …”
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Short Text Semantic Similarity Measurement Approach Based on Semantic Network by Naamah Hussien Hameed, Adel M. Alimi, Ahmed T. Sadiq

“… Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is produced daily. …”
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Enhancing Cyber Security: Comparing the Accuracy of the Bert Model with Other Common Deep Learning Models in Identifying Email Spam by Tao Xu

“…In this study, deep learning (DL) and natural language processing (NLP) methods were employed to develop a spam detection model. …”
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Zero-Shot Learning for Accurate Project Duration Prediction in Crowdsourcing Software Development by Tahir Rashid, Inam Illahi, Qasim Umer, Muhammad Arfan Jaffar, Waheed Yousuf Ramay, Hanadi Hakami

“…Utilizing historical data from TopCoder, the proposed method extracts pertinent project attributes and preprocesses textual data through Natural Language Processing (NLP). Bidirectional Encoder Representations from Transformers (BERT) are employed to convert textual information into vectors, which are then analyzed using various machine learning algorithms. …”
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Rheological properties of superparamagnetic iron oxide nanoparticles by Javanbakht T., Laurent S., Stanicki D., Salzmann I.

“…These results suggest that these nanoparticles are promising candidates with appropriate properties for fluid processing applications and drug vectors in biomedical applications.…”
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EmoNet: Deep Attentional Recurrent CNN for X (Formerly Twitter) Emotion Classification by Md. Shakil Hossain, Md. Mithun Hossain, Md. Shakhawat Hossain, M. F. Mridha, Mejdl Safran, Sultan Alfarhood

“…EmoNet utilizes an AttentionEmbedder module to generate query, key, and value vectors, which are then processed through an attention layer to compute weighted representations. …”
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