The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion by Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai

“…Various feature fusion methods (concatenate fusion, scaled fusion, adaptive gated fusion) are employed to construct multi-level feature representations. …”
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Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

“…These technologies facilitate personalized and adaptive learning, making pronunciation and fluency improvement more efficient. Traditional methods lack real-time speech assessment and individualized feedback, limiting learners' progress. …”
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Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification by Chao Wang, Yuting Xia, Lunlong Xia, Qingyong Wang, Lichuan Gu

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The theme-centred interview and the map of meanings: A phenomenological approach to the analysis of experience by Maria Armezzani, Luca Zamengo

“…This approach includes a graphical output, the map of meanings, which extend the analysis by providing a visual representation of the structures of meanings in relation to the theme.…”
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Evaluating the impact of acupuncture on perennial allergic rhinitis: A randomized placebo acupuncture control trial protocol by Chunxue Meng, Qianxi Na, Jing Zhang, Zijie Cai, Fei Wang, Qian Zhang, Shengfu Zhang, Hailong Zhao, Xuhong Tang, Ziye Chen, Qian Zhang, Bin Guo

“…Acupuncture might serve as a therapeutic modality for allergic rhinitis, however, the empirical support for its clinical effectiveness is currently restricted.The objective of this research is to examine the therapeutic outcomes and tolerability of acupuncture treatment in the context of standard care for allergic rhinitis. Methods and analysis: A sum of 264 individuals with AR will be assigned at random to either the acupuncture (A) cohort or the placebo acupuncture (PA) cohort in an equal split of 1:1. …”
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Critical size defect in a rat calvaria model using trephination: An animal model for investigating potential bone regenerative scaffolds by Jeffrey Huang, Jithendra Ratnayake, George J. Dias

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The Multifunctional Catalytic Hemoglobin from <i>Amphitrite ornata</i>: Protocols on Isolation, Taxonomic Identification, Protein Extraction, Purification, and Characterization by Anna L. Husted, Victoria R. Sutton, Lauren A. Presnar, R. Kevin Blackburn, Joseph L. Staton, Stephen A. Borgianini, Edward L. D’Antonio

“…In order to discover more infaunal DHP-bearing candidates, we have devised a facilitated method for an accurate taxonomic identification that places visual and molecular taxonomic approaches in parallel. …”
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Effects of mosquito-proofing storm drains on adult and larval mosquito abundance: Protocol of the IDAlErt storm drAin randomiSed controlled trial (IDEAS) by Marina Treskova, Tomás Montalvo, Joacim Rocklöv, Charles Hatfield, Frederic Bartumeus, Shouro Dasgupta, João Encarnação, Rachel Lowe, Jan C. Semenza, Pascale Stiles, Jordi Noya, Andrea Valsecchi, Till Bärnighausen, John R.B. Palmer, Aditi Bunker

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Recovering the polyhedral geometry of fragmentsThe manuscript contains the link to the data by János Török, Gábor Domokos

“…Beyond identifying the ideal polyhedral approximation for fragments, our method is also capable of tracing backward the shape evolution of rounded pebbles to their origins.…”
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Imaging Flow Cytometry in HIV Infection Research: Advantages and Opportunities by Kirill. A. Elfimov, Dmitriy. A. Baboshko, Natalya. M. Gashnikova

“…Many of these methods rely on fluorescent dyes to help visualize specific parts of the virus or infected cells. …”
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Development and testing of a device to detect trigger points, and local twitch responses in dry needling intervention by Manoj Kumar Sharma, Sarika Chaudhary, Hardika Sood

“…Not all LTRs are perceptible through visual observation or tactile sensation during the intervention. …”
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Best practices for physiological data collection in youth with autism and co-occurring mental health diagnoses: Implications for human-animal intervention research by Cory M. Smith, Katharine Weimann, Madison Widick, Tamara Merritt, Hannah Christensen, Matthew Siegel, Zhaoxing Pan, Robin L. Gabriels

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SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci by Santiago Hernández, Vivian Zhong, Jennifer A. N. Brophy

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VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

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Multimodal measurement of music engagement in a natural setting for infants, young children and parents by Yukari Tanaka, Françoise Diaz-Rojas, Masako Myowa

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FastColitisDetector-XAI: An efficient AI model utilizing sparse Autoencoder with explainable AI for ulcerative colitis diagnosis by Sumedh Vithalrao Dhole, Sangeeta R. Chougule

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Design and methodological process for assessing quasi-experiments in virtual reality environments for deepfake recognition in the artificial intelligence era by Alberto Sanchez-Acedo, Alejandro Carbonell-Alcocer, Manuel Gertrudix

“…The experiment is conducted in a virtual environment in which participants are immersed in an interact with the environment in which they visualize newspaper front pages that include contextual elements. …”
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Optical coherence tomography for early detection of crop infection by Ghada Salem Sasi, Stephen J. Matcher, Adrien Alexis Paul Chauvet

“…Conventional diagnostic methods are however often destructive, slow, or requiring visible symptoms which appear late in the infection process. …”
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RP-DETR: end-to-end rice pests detection using a transformer by Jinsheng Wang, Tao Wang, Qin Xu, Lu Gao, Guosong Gu, Liangquan Jia, Chong Yao

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An efficient and comprehensive field protocol for assessing fuel characteristics for fire behaviour modelling in Australian open forests by Jennifer J. Hollis, Miguel G. Cruz, W. Lachlan McCaw, James S. Gould, Stephanie A. Samson

“…Current fuel inventory approaches used in Australia largely rely on visual assessment methods that are subjective and lack the consistency and accuracy required for fire management applications.We describe a protocol to quantify characteristics for various fuel strata considered in Australian fire modelling applications, namely: litter and suspended dead fuels; downed wood debris; live understorey; bark; and overstorey canopy. …”
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