Phylogenetic Analysis of the North American Beetle Genus Trichiotinus (Coleoptera: Scarabaeidae: Trichiinae) by T. Keith Philips, Mark Callahan, Jesús Orozco, Naomi Rowland

“…Data from nineteen morphological traits and CO1 and 28S gene sequences were used to construct phylogenies using both parsimony and Bayesian algorithms. All results show that Trichiotinus is monophyletic. …”
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Molecular logic gates based on programmable self-assembly of DNA origami triangles for the detection of nucleic acid molecules by Si Sun, Jin-Da Wen, Qian-Ru Xiao, Xiao-Li Qiang, Xiao-Long Shi

“…By coupling the programmability of DNA nanostructures with molecular recognition logic, the platform constructs autonomous systems capable of interpreting biological signals via predefined algorithms. The modular architecture supports the scalability of multi-layered logic circuits, while atomic force microscopy (AFM) provides nanoscale-resolution validation of assemblies. …”
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Multi-label classification for image tamper detection based on Swin-T segmentation network in the spatial domain by Li Li, Kejia Zhang, Jianfeng Lu, Shanqing Zhang

“…The experimental findings demonstrate that the proposed model enhances the IoU index by 13% compared to the leading algorithms. Additionally, it can accurately detect multiple tampering types from a single image.…”
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TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

“…By combining symbolic algorithms with graph-based models, this hybrid approach offers a more interpretable, efficient, and high-performing solution for complex NLP tasks.…”
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Ultrafast neuromorphic computing driven by polariton nonlinearities by Yusong Gan, Ying Shi, Sanjib Ghosh, Haiyun Liu, Huawen Xu, Qihua Xiong

“…Abstract Neuromorphic computing offers a promising approach to artificial intelligence by mimicking biological neural networks to perform complex tasks efficiently. While software-based simulations have demonstrated the potential of neuromorphic architectures, a physical platform is crucial to fully realize its computational advantages. …”
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Detecting Covid-19 Fake News on Twitter/X in French: Deceptive Writing Strategies by Ming Ming Chiu, Alex Morakhovski, Zhan Wang, Jeong-Nam Kim

“…These results extend deceptive writing theory and inform fake news detection algorithms and media literacy instruction.…”
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Benchmarking Big Data Systems: Performance and Decision-Making Implications in Emerging Technologies by Leonidas Theodorakopoulos, Aristeidis Karras, Alexandra Theodoropoulou, Georgios Kampiotis

“…GraphX’s strength was in processing batch in-memory workloads typical of blockchain and machine learning model optimization, while Flink excelled in processing stream data, which is timely and important to the IoT world. …”
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A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture by Bing Shi, Zelin Gao, Tianheng Pu, Jianming Jiang, Yueping Sun

“…Abstract Sensor nodes in a wireless sensor network are influenced by the surrounding environment while monitoring data, which can lead to faults and data biases, resulting in erroneous decisions and losses. …”
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Development of a composite index for the assessment of food systems in the Philippines by Maria Julia Golloso-Gubat, Angelina Felix, Nancy A. Tandang, Cecilia Cristina S. Acuin, Prudenciano U. Gordoncillo

“…Initially, a set of indicators were generated by Delphi approach, and relevant local data were used to develop algorithms to quantitatively operationalize the indicators which were subsequently grouped into domains by Principal Component Analysis (PCA). …”
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Artificial intelligence in the food industry: innovations and applications by Hang Yang, Wenxuan Jiao, Lingyun Zouyi, Hongli Diao, Shibin Xia

“…This review aims to elucidate these challenges while highlighting the transformative potential of AI in the food industry. …”
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SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis by Geetika Munjal, Paarth Bhardwaj, Vaibhav Bhargava, Shivendra Singh, Nimish Nagpal

“…Abstract Background Skin cancer poses a significant global health threat, with early detection being essential for successful treatment. While deep learning algorithms have greatly enhanced the categorization of skin lesions, the black‐box nature of many models limits interpretability, posing challenges for dermatologists. …”
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Predictive analytics in customer behavior: Anticipating trends and preferences by Hamed GhorbanTanhaei, Payam Boozary, Sogand Sheykhan, Maryam Rabiee, Farzam Rahmani, Iman Hosseini

“…The results emphasize RT and LR's good performance, while the values of 0.620, 1, 0.766, and 0.878 for the precision, recall, F1-score, and ROC-AUC score outperform the rest. …”
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A multi-scale multi-channel CNN introducing a channel-spatial attention mechanism hyperspectral remote sensing image classification method by Ru Zhao, Chaozhu Zhang, Dan Xue

“…The CSAM-MMC model in this paper further improves 0.13%, 0.35%, and 0.71% relative to the MMC-CNN model, which provides higher overall accuracies relative to other state-of-the-art algorithms.…”
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Designing a sustainable and resilient agri-food closed-loop supply chain network for porcine products by Álvaro Ronaldo Elizalde Camacho, Fatemeh Gholian-Jouybari, Behzad Mosallanezhad, Neale R. Smith, Mostafa Hajiaghaei-Keshteli

“…The sustainability of agri-food supply chains is imperative for addressing global food security while mitigating environmental and socio-economic challenges. …”
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Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning by Yingbin Wang, Yulong Huang, Xiaobao Liu, Chishan Kang, Wenjie Wu

“…These algorithms achieved over 90% accuracy in distinguishing between EPH-injected and non-injected SD rats, with area under the ROC curve (AUC) values ranging from 0.9821 to 0.9911. …”
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Video-based operational modal analysis of slender mechanical structures with neutral axis estimation via barycenter calculation by Touzet Jimmy, Alata Olivier, Bonnardot Frédéric, Chesné Simon, André Hugo

“…The high-contrast environment facilitated image processing, while Laser Doppler Vibrometry (LDV) measurements served as a reference for validating the results. …”
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Learning the Value of Place: Machine Learning Models for Real Estate Appraisal in Istanbul’s Diverse Urban Landscape by Ahmet Hilmi Erciyes, Toygun Atasoy, Abdurrahman Tursun, Sibel Canaz Sevgen

“…The results show that RF yielded the best performance in Beşiktaş, while XGBoost performed best in Üsküdar. ANN also produced competitive results, although slightly less accurate than those of XGBoost and RF. …”
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An Effective Ensemble Approach for Preventing and Detecting Phishing Attacks in Textual Form by Zaher Salah, Hamza Abu Owida, Esraa Abu Elsoud, Esraa Alhenawi, Suhaila Abuowaida, Nawaf Alshdaifat

“…We provide two approaches for the planned task; The first technique employs ensemble learning soft voting, while the second employs weighted ensemble learning. …”
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Energy-Efficient model for integrated berth allocation and quay crane management by Saeedeh Khalilpoor, Mehdi A. Kamran, Reza Babazadeh, Reza Kia

“…Several numerical experiments in different dimensions are defined and implemented with both algorithms. The results analysis gives an overall perspective, while both algorithms show their value and strong points and weaknesses in meeting demanding requirements of modern container terminal logistics. …”
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A Complete Solution for Ultra-Wideband Based Real-Time Positioning by Vlad Ratiu, Ovidiu Ratiu, Olivier Raphael Smeyers, Vasile Teodor Dadarlat, Stefan Vos, Ana Rednic

“…This system demonstrates improvements in the state of the art by addressing the above limitations through the use of a hybrid Machine Learning solution combined with algorithmic fine tuning in order to reduce computational power while achieving the desired positioning accuracy. …”
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