Vascular Tissue Analysis as a Decisive Tool for Tropical Hardwood Identification: The Case Study of Ekop Species in Cameroon by Pierre Paul Mbarga, Armand William Mala, Marie Marguerite Mbolo

“…Indeed, several species exploited under the trade name Ekop because of their grain, color, and wooden decoration patterns do not belong to the same taxonomic class. …”
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High-Frequency Power Reflects Dual Intentions of Time and Movement for Active Brain–Computer Interface by Jiayuan Meng, Xiaoyu Li, Simiao Li, Xinan Fan, Minpeng Xu, Dong Ming

“…Consequently, compared to the BT sessions, AT sessions led to substantially smaller absolute deviation time behaviourally, along with larger high-frequency event-related desynchronization (ERD) in frontal-motor areas, and significantly improved decoding accuracy of time. Moreover, AT sessions achieved enhanced motor-related contralateral dominance of event-related potentials (ERP) and ERDs than the BT, which illustrated a synergistic relationship between the two intentions. …”
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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

“…Additionally, the Detailed-Macro Feature Fusion (DMFF) module enables multi-scale feature integration by combining detailed and coarse-grained features, mitigating the significant feature loss encountered during the encoding and decoding stages, and further improving segmentation precision. …”
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Improving diagnostic precision in thyroid nodule segmentation from ultrasound images with a self-attention mechanism-based Swin U-Net model by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

“…The model integrates residual and multiscale convolutional structures in the encoder path, with long skip connections feeding into an attention module to improve edge preservation and feature extraction. The decoder path employs these refined features to achieve precise segmentation. …”
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Expansion of phase uniqueness of projection methods when illuminated by sinusoidal pictures with different periods by V. I. Guzhov, I. O. Marchenko, G. A. Pozdnyakov, E. E. Serebryakova

“…As a result of the decoding of the intensity patterns recorded, a field of phase quantities is obtained with a period determined by the magnitude of the period of the projected sinusoidal pattern. …”
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Potential impact of different LED light spectra on callus induction, regeneration and plantlet growth of two cultivars of Caladium bicolor by Maryam Dehestani-Ardakani, Mohsen Karimi Dorche, Maryam Rahmati

“…Purpose: Caladium bicolor is highly valued as both a landscape and indoor plant, primarily for its decorative appeal stemming from its diverse leaf shapes and vibrant, multicolored foliage. …”
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Encoding of cerebellar dentate neuron activity during visual attention in rhesus macaques by Nico A Flierman, Sue Ann Koay, Willem S van Hoogstraten, Tom JH Ruigrok, Pieter Roelfsema, Aleksandra Badura, Chris I De Zeeuw

“…To better understand the heterogeneous relationship between task structure, behavioral performance, and neural dynamics, we constructed a behavioral, an encoding, and a decoding model. Both NHPs showed different behavioral strategies, which influenced the performance. …”
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“I Desire to Have an HIV‐Free Baby”: Pregnant and Breastfeeding Mothers’ Perceptions of Viral Load Testing and Suppression in HIV Care in Southwestern Uganda. by Kabami, Jane, Akatukwasa, Cecilia, Kabageni, Stella, Nangendo, Joanita, Byamukama, Ambrose, Atwiine, Fredrick, Mftumukiza, Valence, Tamu, Munezero John Bosco, Arinaitwe, Elizabeth, Mutabazi, Andrew, Ssebutinde, Peter, Musoke, Phillipa, Kamya, Moses R., Katahoire, Anne R.

“…Interviews were audio-recorded, transcribed, and coded in Dedoose software for analysis. Results A total of 32 Women living with HIV were enrolled in this qualitative study. …”
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Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution by Shizhao Li, Zhichao Yan, Boxiang Ma, Shaoru Guo, Hongxia Song

“…To address these challenges, we propose an innovative encoding-decoding structure, incorporating voxel sparse convolution (SpConv) and attention-based feature fusion (VSCAFF) to enhance semantic segmentation of the point clouds of high-resolution tomato seedling images. …”
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Competitive Multipolarity in the Middle East and the Transformation of Turkey’s Regional Policies in the 2000s and 2010s by P. V. Shlykov

“…The paper aims to decode the logic in the revisions of Turkey’s regional policies during the 2000s and 2010s in respect to a wider context of the large-scale transformations in the Middle East and North Africa region. …”
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Myoelectric pattern recognition with virtual reality and serious gaming improves upper limb function in chronic stroke: a single case experimental design study by Maria Munoz-Novoa, Morten B. Kristoffersen, Katharina S. Sunnerhagen, Autumn Naber, Max Ortiz-Catalan, Margit Alt Murphy

“…Abstract Background Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. …”
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Time to breastfeeding cessation and its predictors among mothers of index children aged 2–3 years in Bedele Town, Southwest Ethiopia: a community-based retrospective follow-up stud... by Gebiso Roba Debele, Fedasa Tesfa, Dereje Tsegaye

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Identifying MTHFD1 and LGALS4 as Potential Therapeutic Targets in Prostate Cancer Through Multi-Omics Mendelian Randomization Analysis by Huan Han, Hanwen Su, Zhihua Lv, Chengliang Zhu, Jingtao Huang

“…<b>Methods:</b> We integrated eQTL data from the eQTLGen Consortium and pQTL data from UK Biobank Proteome Plasma Proteins (UKB-PPP) and deCODE health datasets. MR analyses (SMR, heterogeneity in dependent instruments (HEIDI), IVW, Wald ratio, weighted median, and MR-Egger) were used to screen candidate genes associated with prostate adenocarcinoma (PRAD) risk. …”
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Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness by Chloé Gomez, Lynn Uhrig, Vincent Frouin, Edouard Duchesnay, Béchir Jarraya, Antoine Grigis

“…Abstract Decoding states of consciousness from brain activity is a central challenge in neuroscience. …”
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Validación del inventario de capacidades emocionales en adolescentes (ICEA) by Zoe Bello Dávila, Alina Alfonso León, Jenfifer Medina García

“…<br /><strong>Métodos:</strong> la investigación se realizó en dos etapas; en la primera participaron 419 adolescentes y nueve expertos que valoraron la validez de contenido y constructo del instrumento. En la segunda etapa con una muestra de 291 adolescentes se realizó la validación de criterio concurrente del inventario con las medidas de Bienestar Psicológico (BIEPS-J), con el Inventario de Ansiedad Rasgo-Estado (IDARE-N) y el Inventario de Depresión Rasgo-Estado (IDERE-N).…”
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Les redevances coutumières chez les Agni-Djuablin à l’époque précoloniale by Kouablan KOFFI

“…L’usage de la critique historique à toutes ces sources a permis de déceler, l’existence de redevances coutumières dans tous les domaines de la vie sociale. …”
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Fal – Fortune Telling from Chalil Juzefovich’s Tefsir (19th Century) by Galina Miškinienė

“…However, with each newly discovered and decoded text, we reveal a layer of Lithuanian Tatar manuscripts. …”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

“…These problems include deducing the unknown properties of biological structures or tissues from the observed imaging data, presenting a unique challenge in decoding intricate biological phenomena. Regarding disease detection, this technique has played a critical role in optimizing diagnostic efficiency by extracting meaningful insights from different imaging modalities like molecular imaging, MRI, and CT scans. …”
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Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model by Afaf Saad, Noha Ghatwary, Safa M. Gasser, Mohamed S. ElMahallawy

“…The extracted features are then merged with those generated by the generator to improve overall performance. Moreover, the decoder’s performance is enhanced by providing the related features from the classified labels by incorporating the adaptive instance normalization technique. …”
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Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

“…Our hybrid model utilizes an LSTM model as an encoder and decoder inside an autoencoder network. Additionally, we investigate FXVIX indices through subperiod analysis to examine how the proposed model’s forecasting performance is influenced by data distributions and outliers. …”
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