Harnessing laboratory data for poliovirus eradication: contributions of the Africa regional polio laboratory data management team, 2022 – 2024 by Brook Tesfaye, Reggis Katsande, Doungmo Wakem Yannick Arthur, Julius E Chia, Chefor Ymele Demeveng Derrick, Ikeonu Obianuju Caroline, Kabore Sakma, Mahmud Zubairu, Busisiwe Ngobe, Abdulahi Walla Hamisu, Ticha Johnson Muluh, Kebba Touray, Modjirom Ndoutabe, Jamal A Ahmed, Anfumbom Kfutwah

“…Conclusion: The contributions provided by the RPLDMT has played a key role in boosting the polio eradication efforts with a focus on enhancing human resource skills embracing new technologies and implementing real-time performance monitoring tools to improve data quality and strengthen data-driven decision-making processes essential for speeding up the progress towards eradicating polio in the region.…”
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Exploring the role of ferroptosis in pemphigus: identification of diagnostic markers and regulatory mechanisms by Jing Mao, Jianping Lan, Zheyu Zhuang, Ying Chen, Ying Chen, Yushan Ou, Xinhong Su, Xueting Zeng, Fuchen Huang, Zequn Tong, Xiaoqing Lv, Xiaoqing Lv, Xiaoqing Lv, Hui Ke, Zhenlan Wu, Ying Zou, Bo Cheng, Bo Cheng, Bo Cheng, Chao Ji, Chao Ji, Chao Ji, Ting Gong

“…Machine learning algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) were used to select key ferroptosis-related genes. …”
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Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis by T. Touil, F. Huot, S. Claveau, A. Bunel, D. Warner, D.E. Santschi, R. Gervais, É.R. Paquet

“…In parallel, 2,634 individual milk samples were collected in the morning and afternoon and analyzed to obtain FTIR spectra. After the cleaning process, 1,744 samples remained, evenly divided into 872 morning (a.m.) and 872 afternoon (p.m.) samples. …”
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Conversion of motorcycles to electric vehicles towards sustainable mobility by A.D. Santoso, H. Daulay, A. Priyanti, M. Silalahi, U.K. Yaumidin, N. Irawati, H. Sumartono, P. Astuti, A.R. Farandy, A. Parikesit, M.F. Manti, E. Indriasari, W. Joelijani, S. Wahyuni

“…Achieving sustainability requires focused enhancements in various key areas: setting up waste conversion facilities in the environmental aspect, educating employees on environmental conservation and boosting business incentives in the social aspect, ensuring a stable supply of raw materials and maximizing market penetration in the economic aspect, and improving experience management and skill acquisition in the technological aspect. …”
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Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data by Li-Rong Yang, Mei Yang, Liu-Lin Chen, Yong-Lin Shen, Yuan He, Zong-Ting Meng, Wan-Qi Wang, Feng Li, Zhi-Jin Liu, Lin-Hui Li, Yu-Feng Wang, Xin-Lei Luo

“…Following this screening process, five machine learning algorithms were employed to develop predictive models based on the selected variables. …”
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Deep Learning Approaches for Automated Prediction of Treatment Response in Non-Small-Cell Lung Cancer Patients Based on CT and PET Imaging by Randy Guzmán Gómez, Guadalupe Lopez Lopez, Victor M. Alvarado, Froylan Lopez Lopez, Eréndira Esqueda Cisneros, Hazel López Moreno

“…In medical practice, radiological imaging technologies systematically boost progress in the clinical monitoring of cancer through the information that can be analyzed in these images. …”
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A Systematic Review of Mechanical Pretreatment Techniques of Wood Biomass for Bioenergy by Giorgia Di Domenico, Elisa Cioccolo, Leonardo Bianchini, Rachele Venanzi, Andrea Colantoni, Rodolfo Picchio, Luca Cozzolino, Valerio Di Stefano

“…Energy consumption remains a major hurdle for the overall sustainability of biomass conversion processes. This research provides a comprehensive review of current mechanical techniques, detailing their operational settings and performance metrics while also offering suggestions for optimizing biomass conversion processes. …”
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Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions by R Suganya, P Balaramesh, S Kannadhasan, V Chandrasekhar, S R Arun Raj, R Dhilipkumar

“…Chivalry: Signal Processing for WMSNs Humanoid vertical lace up boot where the lacing up shoes are made of suede or synthetic leather. …”
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Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD by Xiaoyu Liu, Jiangfeng Song, Hai Tao, Peng Wang, Haihua Mo, Wenjie Du

“…Historical load data are processed via CEEMDAN, K-means clustering, and VMD for significant regularity and uncertainty feature extraction. …”
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Value chain analysis of wheat in the case of North Shewa Zone, Amhara region, Ethiopia by Mekonnen Aklilu Tesfaye, Yitea Seneshaw Getahun, Biruk Kemaw Shenkute, Sisay Assefa Wondimagegn, Eden Dereje Mamo

“…Therefore, to strengthen the WVC and boost productivity in the study area, regulations pertaining to the adequate or efficient delivery of agricultural inputs, the construction of infrastructure, the opening of agro-processing companies, and the application of appropriate pricing methods by the relevant bodies are crucial.…”
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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

“…The model comprises three main modules: a TransforRS-Mamba module that integrates the sequence processing capabilities of the Mamba model with the attention mechanism of the Transformer to effectively merge spatial and spectral features; an improved spatial proximity-aware attention mechanism (SPPAM) that utilizes a spatial constraint matrix to greatly enhance the recognition of complex object relationships; and an optimized spatial proximity-constrained gated fusion module (SPCGF) that integrates spatial proximity constraints with residual connections to boost the recognition accuracy of key object features. …”
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Design and Implementation of a Low-Pressure Briquetting Machine for the Use of <i>Pinus</i> spp. Wood Residues: An Approach to Appropriate Rural Technology by Mario Morales-Máximo, Víctor Manuel Ruíz-García, José Guadalupe Rutiaga-Quiñones, Luis Bernado López-Sosa

“…The results indicate that local small-scale briquette production in the Pichátaro community has the potential to boost a local economy based on the manufacturing and marketing of densified solid biofuels. …”
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A novel approach for the effective prediction of cardiovascular disease using applied artificial intelligence techniques by Azka Mir, Attique Ur Rehman, Tahir Muhammad Ali, Sabeen Javaid, Maram Fahaad Almufareh, Mamoona Humayun, Momina Shaheen

“…The three‐step approach includes pre‐processing of the dataset, applying feature selection method on pre‐processed dataset and then applying classification methods for prediction of results. …”
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Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction by Rosanna Turrisi, Sarthak Pati, Giovanni Pioggia, Gennaro Tartarisco

“…The Deep Approach integrates these steps by fine-tuning the pre-trained models for AD diagnosis.In scenario (A), TL significantly boosts the Baseline’s accuracy from 63% to 99%. In scenario (B), Radiomic features better represents 3D MRI than TL-features in the General Approach. …”
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GANs for data augmentation with stacked CNN models and XAI for interpretable maize yield prediction by Ishaan Seshukumar Pothapragada, Sujatha R

“…The methodology integrates frontier methods to improve both accuracy and explainability through a structured five-stage process. For augmenting data to address the issue of data-scarcity, generative adversarial networks (GANs) with a 200-dimension latent space were used to synthetically generate 20,000 samples, which greatly boosted the dataset. …”
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Facilitators and barriers of fruit and vegetable consumption among Ugandans living with diabetes: a qualitative study by Aliza Hannah Stark, Norah Babirye, Tonny Kiyimba

“…Interventions should address personal obstacles, boost self-efficacy and change the food environment to promote healthy diets among Ugandan individuals living with diabetes.…”
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Effective multimodal hate speech detection on Facebook hate memes dataset using incremental PCA, SMOTE, and adversarial learning by Emmanuel Ludivin Tchuindjang Tchokote, Elie Fute Tagne

“…To effectively address class imbalance and improve classification accuracy, our hybrid model combines ResNet for image processing with RoBERTa for text analysis, leveraging Synthetic Minority Over-sampling Technique (SMOTE) and Incremental Principal Component Analysis (PCA) combined with adversarial machine learning techniques. …”
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Enhancing the Performance of YOLOv9t Through a Knowledge Distillation Approach for Real-Time Detection of Bloomed Damask Roses in the Field by Farhad Fatehi, Hossein Bagherpour, Jafar Amiri Parian

“…Harvesting Damask roses by hand is especially challenging because of the thorns on their stems, which not only complicate the process but also pose a risk of injury to workers. …”
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Diagnosing Gingiva Disease Using Artificial Intelligence Techniques by Rana Khalid Sabri, Lujain Younis Abdulkadir, AbdulSattar Mohammed Khidhir, Hiba Abdulkareem Saleh

“…This boosts the accuracy to 96%. Surpassing other models in precision and recall metrics. …”
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Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression by Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy

“…Abstract Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to develop learning models in processing and analyzing brain data. However, these models often cannot provide early detection of affected brain regions. …”
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