Improving Government's Approach to Community Transformation through Agriculture-Driven Initiatives: A Case Study of NAADS in Uganda 2001 - 2025 by Mpirirwe, Jedras, Mucunguzi, Abel, Nabimanya, Boaz

“…Agriculture remains a cornerstone for economic growth and community transformation, particularly in developing countries like Uganda. This study explores how the government can improve its approach to community transformation through agriculture-driven initiatives, using the National Agricultural Advisory Services (NAADS) as a case study. …”
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Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence by Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

“…Traditional machine learning models require extensive feature engineering, which is time-consuming and less effective in handling complex data like skin lesions. This study proposes a deep learning-based network-level fusion architecture that integrates multiple deep models to enhance the classification and localization of skin lesions in dermoscopic images. …”
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Advancements, challenges, and future prospects in clinical hyperpolarized magnetic resonance imaging: A comprehensive review by Ching-Yi Hsieh, Ying-Chieh Lai, Kuan-Ying Lu, Gigin Lin

“…Current challenges, such as limited imaging windows, complex pre-scan protocols, and data processing difficulties, are addressed through innovative solutions like advanced pulse sequences, bolus tracking, and kinetic modeling. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…By leveraging machine learning algorithms, AI systems can process and analyze large volumes of medical data, including patient records, laboratory results, medical images, and genomic data. …”
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Sport-specific variability in the energy cost of constant speed running: Implications for metabolic power estimations. by Jan Venzke, Robin Schäfer, Petra Platen

“…Athletes performed a treadmill protocol to exhaustion while O2-uptake, CO2-output, respiratory exchange ratio and ventilation were measured breath-by-breath. Data processing verified steady-state conditions. …”
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Facebook Sentiment Analysis on Healthcare of Timor-Leste: Analysing public perception through social media by Cristovao De Alexandria Barros, Marcelo Amaral Mali, Evalisa Adão Mendonça, Osmenia de jesus Neto

“… This study investigates public sentiment toward healthcare in Timor-Leste using Facebook comments from four pages: the Ministry of Health, Guido Valadares National Hospital, ANTIL, and Jornal Independente. Data from November 2023 to November 2024 were analyzed using Natural Language Processing (NLP) techniques, including Python’s VADER sentiment analyzer. …”
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Harnessing Digital Health Technologies to Combat Climate Change‐Related Health Impacts by Yuhang Li, Ge Wu, Puxi Gong, Chang Liu, Lizhong Liang, Mengchun Gong, Zhirong Zeng

“…Notably, with advanced technologies such as Generative medical AI (GMAI) presenting environmental concerns like substantial energy consumption during data processing and the generation of electronic waste, it is essential to underscore the significance of their responsible development and implementation of these technologies. …”
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Analysis of the coxal fluid of O. brasiliensis tick species by analytic techniques by Cibele Bugno Zamboni, Dalton Nogueira da Silva Giovanni, Simone Michaela Simons

“…These complementary techniques allowed the identification and quantification of key elements such as sodium (Na), chlorine (Cl), potassium (K), and zinc (Zn), along with others like sulfur (S), phosphorus (P), and iron (Fe). The study demonstrated the consistency between the two analytical methods and revealed significant data about the tick's physiological adaptations related to fluid excretion and blood meal processing. …”
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ANATOMICAL VARIANTS OF PYRIFORM APERTURES AND NASAL BONES IN PATIENTS WITH NORMAL CONFIGURATION AND DIFFERENT AESTHETIC DEFORMITIES OF EXTERNAL NOSE USING MULTISLICE COMPUTED TOMOG... by D. A. Lezhnev, D. V. Davydov, M. O. Dutova, V. V. Petrovskaya

“…We performed a retrospective analysis of multi-slice computed tomography (MSCT) data of 2737 patients with the image processing (multiplanar and 3D-volume rendering). …”
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Multispectral Image Compression Based on DSC Combined with CCSDS-IDC by Jin Li, Fei Xing, Ting Sun, Zheng You

“…Remote sensing multispectral image compression encoder requires low complexity, high robust, and high performance because it usually works on the satellite where the resources, such as power, memory, and processing capacity, are limited. For multispectral images, the compression algorithms based on 3D transform (like 3D DWT, 3D DCT) are too complex to be implemented in space mission. …”
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Theoretical studies of modulation instability, Fermi–Pasta–Ulam recurrence and pattern formation in an ultra-silicon-rich-nitride Bragg grating by Chowdury Amdad, Eggleton Benjamin J., Tan Dawn T.H.

“…By analyzing the full dispersion profile, we identify pump wavelengths that generate new frequencies and show that the grating also can produce a comb-like discrete spectrum. Furthermore, we reveal that even with high loss, parametric amplification at the grating output is possible, highlighting its potential as a nonlinear platform for frequency comb generation, wavelength-multiplexed data transmission, and high-precision pulse processing.…”
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Combining fiber Bragg grating sensors and artificial intelligence in medicine by Martina Pulcinelli, Ilaria Condò, Vincenzo Lavorgna, Carlo Massaroni, Emiliano Schena, Daniela Lo Presti

“…These systems harness the potential of FBGs and the advanced data processing capabilities of AI to improve diagnostics and therapeutic procedures. …”
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ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation by Vahid Khalkhali, Sayed Mehedi Azim, Iman Dehzangi

“…On the other hand, hand-crafted features extracted to represent different aspects of the input data and traditional machine learning models are generally more understandable. …”
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Extracting Realistic Pedestrian, Cycling, and Driving Street Networks from OpenStreetMap by J. P. Duque, M. A. Brovelli

“…To address this, we propose a methodology which employs a set of filters and post-processing algorithms in a selective removal process to mitigate such inconsistencies and generate networks that are realistic and usable for various applications like routing and analysis. …”
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Inferring TLB Configuration with Performance Tools by Cristian Agredo, Tor J. Langehaug, Scott R. Graham

“…While cache side-channel analysis has received significant attention, other Central Processing Units (CPUs) components like the Translation Lookaside Buffer (TLB) can also be exploited to leak sensitive information. …”
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Wearable devices for patient monitoring in the intensive care unit by Alessandra Angelucci, Massimiliano Greco, Maurizio Cecconi, Andrea Aliverti

“…Despite the potential of WDs, challenges such as measurement accuracy, explainability of data processing algorithms, and actual integration into the clinical decision-making process persist. …”
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Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians by Riccardo Rende, Luciano Loris Viteritti, Federico Becca, Antonello Scardicchio, Alessandro Laio, Giuseppe Carleo

“…Abstract Foundation models are highly versatile neural-network architectures capable of processing different data types, such as text and images, and generalizing across various tasks like classification and generation. …”
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Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism by Yuefeng Chen, Weihua Liu, Qing Yang, Huabin Chen, Qi Jiang

“…The model performs well in computational efficiency, data processing and complexity balance, making it suitable for industrial field deployment.…”
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Load Balancing of Cloud Computing Service Model Empowered with Fuzzy Logic by Syed Atir Raza Shirazi, Abdul Hannan Khan, Shahid Rasool, Aqsa Anwar, Muhammad Ammar

“…A cloud comprises multiple elements like a consumer's data center and servers. It provides high availability, efficiency, scalability, mobility, fault tolerance, decreased overhead of users, reduced expenses of ownership, on-demand services, etc. …”
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Wrist Information Detection Sensor Based on Pinhole Imaging by Hongmin Qi, Jun Xiong, Meichen Cao, Weien Lai, Yaohui Hu

“…This sensor utilizes the principle of pinhole imaging, employing an image sensor to capture motion and physiological signals at the wrist. Through the processing and analysis of image data, it can achieve the recognition of hand movements and the measurement of human physiological parameters. …”
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