The subventricular zone neurogenic niche provides adult born functional neurons to repair cortical brain injuries in response to diterpenoid therapy by Ricardo Pardillo-Díaz, Patricia Pérez-García, María Ortego-Domínguez, Ricardo Gómez-Oliva, Nora Martínez-Gómez, Samuel Domínguez-García, Francisco García-Cózar, Juan Pedro Muñoz-Miranda, Rosario Hernández-Galán, Livia Carrascal, Carmen Castro, Pedro Nunez-Abades

“…These neurons develop features representative of neurons belonging the cortical layer in which they are situated. …”
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Current concepts on etiology of the pathogenetic mechanisms related to chronic endometritis by D. E. Galkina, T. A. Makarenko

“…The wide range of pathogenetic features of developing chronic inflammation in the endometrium highlighted here may be promising not only for identification of diagnostic markers, but also forimproving endometrialregenerative ability,whichwill increase odds for successfully executed reproductive function in infertile women.…”
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Deep Learning-Assisted Discovery of Analogy-Inspired Designs within Peter Collins' Analogical Architectural Design Classification Framework by Hüseyin Özdemir

“…Despite the complexity of architectural images indicated by the 86% accuracy rate on test data, the study emphasizes the model's capacity to achieve accuracy above 95% when confronted with distinct architectural features. In this case, the model allows designers to discover which analogical classification the architectural work to be tested is designed according to, allowing them to develop creative solutions to new design problems. …”
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Lactylation-related risk model for prognostication and therapeutic responsiveness in uterine corpus endometrial carcinoma by Yupeng Yin, Min Luo

“…Methods We analyzed transcriptomic data from The Cancer Genome Atlas (TCGA) for UCEC patients and identified two distinct lactylation-related patterns using consensus clustering. A risk model developed using Cox and Lasso regression has been studied for its ability to predict prognosis, immune cell infiltration, and treatment response. …”
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Differentiation of AFP-negative hepatocellular carcinoma from other intrahepatic malignant lesions by a noninvasive predictive model based on Sonazoid contrast-enhanced ultrasound by Qian Zhang, Zhilong Liu, Ruining Wang, Lele Song, Wenwen Fan, Ping Liang, Liping Liu

“…We calculated the optimal threshold, sensitivity, specificity, positive and negative predictive value, and accuracy of the prediction model.ResultsLASSO and multivariate logistic regression analyses indicated that tumor number, necrosis in tumor, arterial phase enhancement pattern, arterial phase perfusion velocity, and Kupffer phase degree of washout were the significant predictors to differentiate AFPN-HCC from OM. …”
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Engagement of CD300c by a Novel Monoclonal Antibody Ameliorates Behavioral Deficits in a 5xFAD Mouse Model of Alzheimer’s Disease by Suin Lee, Chang Ki Lim, Jongyeob Kim, Joon Kim, Hee Kyung Jin, Jae-sung Bae, Jae-Won Jeon

“…Moreover, the CB201-differentiated macrophages expressed cytokines and chemokines in a pattern that alleviates AD symptoms. In a 5xFAD mouse model, CB201 treatment improved memory and behavior in both the early and late stages of AD and reduced cerebral Aβ plaque load. …”
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Comprehensive fragmentation of cell-free repetitive DNA for enhanced cancer detection in plasma by Mingguang Zhang, Shuohui Dong, Wei Rao, Shiwen Mei, Gang Hu, Ling Liu, Zhen Wang, Jianqiang Tang

“…A machine learning-based multimodal model was developed using these features.ResultsThe multimodal model achieved high prediction performance for early tumor detection, even at ultra-low sequencing depths (0.1×, AUC = 0.9824). …”
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Pertussis clinical profile shift, severity, prediction in a tertiary hospital: A comparative study before, during, and after COVID-19 in Southern China by Shufeng Tian, Yulan Chen, Qiru Su, Biao Sun, Zengrui Lin, Yuchun Long, Hongmei Wang, Cuijuan Liao, Ying Zhang, Jinjun Zheng, Lvjun Chen, Song Guan, Sen Wang, Xinlei Xu, Jingwen Ai, Wenhong Zhang, Jikui Deng

“…Analysis included changes in demographic and clinical features, indicators of severe cases, and resistance patterns over the study period. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study used pen tablet and fNIRs device to compare writing dynamics and brain activity between ADHD with coexisting ASD and typically developing (TD) children during handwriting patterns. …”
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Dynamics of HLB Transmission: Integrating Saturated Removal and Vector Bias in Spatial/Non-Spatial Models by Yang Liu, Yirong Gao, Fumin Zhang, Shujing Gao

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Integrative Analysis of Neutrophil-Associated Genes Reveals Prognostic Significance and Immune Microenvironment Modulation in Cervical Cancer by Ting Hu, Haijing Wu, Xinghan Cheng, Haoyue Gao, Min Yang

“…High expression of SEMA6B was associated with poorer prognostic features and immune evasion. <b>Conclusions:</b> We developed a NAGS signature that may inform prognosis and immune microenvironment status in cervical cancer. …”
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Enfortumab vedotin induced interstitial lung disease: A first case report with pathological evidence from transbronchial lung cryobiopsy by Shota Kaburaki, Toru Tanaka, Koichiro Kamio, Yosuke Tanaka, Kazuo Kasahara, Yasuhiro Terasaki, Masahiro Seike

“…While initially considered rare, EV-induced interstitial lung disease (ILD) is increasingly recognized, yet its pathological features remain poorly characterized. We report a case of a 60-year-old man with metastatic urothelial carcinoma who developed fever, fatigue, and cough after two cycles of EV therapy. …”
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Navigating the Dynamics: Modeling of Wave Propagation at Taiping Bay Port for Enhanced Design and Management by Dachuan He, Xi Zhang, Yakun Liu, Zhi Chen, Xiangjun Nie, Ke Wang

“…Our findings elucidate the intricate wave patterns and transformations within the harbor, highlighting the significant impact of the deep navigation channel on wave attenuation. …”
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Image-Text Joint Learning for Social Images with Spatial Relation Model by Jiangfan Feng, Xuejun Fu, Yao Zhou, Yuling Zhu, Xiaobo Luo

“…Existing approaches generally rely on recognizing object instances individually with geo-tags, visual patterns, etc. However, the social image represents a web of interconnected relations; these relations between entities carry semantic meaning and help a viewer differentiate between instances of a substance. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…Droplet formation dynamics within a co-flow microfluidic device were simulated using the Lattice Boltzmann method, generating a comprehensive dataset of 658 cases across both dripping and jetting regimes. We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. …”
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Scenarios of change in Iranian family lifestyle with emphasis on mapping new communication technologies from the perspective of experts by Bahareh Nasiri

“…From the experts' point of view, 4 scenarios: eclectic media family, stable media family, unstable media family and chaotic media family were developed and the main features of each scenario were presented.…”
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Analysis of biofilm assembly by large area automated AFM by Ruben Millan-Solsona, Spenser R. Brown, Lance Zhang, Sita Sirisha Madugula, HuanHuan Zhao, Blythe Dumerer, Amber N. Bible, Nickolay V. Lavrik, Rama K. Vasudevan, Arpan Biswas, Jennifer L. Morrell-Falvey, Scott Retterer, Martí Checa, Liam Collins

“…Our findings reveal a preferred cellular orientation among surface-attached cells, forming a distinctive honeycomb pattern. Detailed mapping of flagella interactions suggests that flagellar coordination plays a role in biofilm assembly beyond initial attachment. …”
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Microecological aspects of relationship between skin microbiota and psoriasis by Arsenyeva A.A., Lyamin A.V., Migacheva N.B., Orlov E.V., Alekseev D.V.

“…In particular, various patterns of deviations in the composition of microbiological communities are considered, such as an increase in the ratio of individual pathogens (Staphylococcus aureus and Streptococcus pyogenes) and a decrease in the number of microorganisms that limit the growth of pathogenic flora (Staphylococcus epidermidis and Cutibacterium acnes). …”
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Detection and Monitoring of Floating Plastic Debris on Inland Waters From Sentinel-2 Time Series by Daniele Cerra, Stefan Auer, Adrian Baissero, Felix Bachofer

“…First, the detection of plastic candidates is conducted with a rule-based approach relying on variations in signal intensity, temporal patterns, spectral features, and information fusion. …”
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Automated building typology clustering and identification using a variational autoencoder on digital land cadastres by Jaime de-Miguel-Rodriguez, M.V. Requena-Garcia-Cruz, E. Romero-Sánchez, A. Morales-Esteban

“…Unlike traditional shape clustering approaches, that depend on predefined rules or manual labelling, the method employs unsupervised learning to identify building typologies, based solely on geometric features, derived from roof-print shapes. Leveraging a large-scale dataset of over 100,000 buildings from the Seville, Spain cadastre, the VAE has been trained with augmented data to generate a latent space that captures dominant morphological patterns. …”
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