Congenital Oral Squamous Cell Carcinoma in a Suckling Piglet by Jasmine Hattab, Abigail Rose Trachtman, Pietro Giorgio Tiscar, Marco Di Domenico, Jessica Maria Abbate, Antonio Ieni, Giuseppe Marruchella

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Correction: Di Paola et al. Environmental Risk Assessment of Oxaliplatin Exposure on Early Life Stages of Zebrafish (<i>Danio rerio</i>). <i>Toxics</i> 2022, <i>10</i>, 81 by Davide Di Paola, Fabiano Capparucci, Jessica Maria Abbate, Marika Cordaro, Rosalia Crupi, Rosalba Siracusa, Ramona D’Amico, Roberta Fusco, Tiziana Genovese, Daniela Impellizzeri, Salvatore Cuzzocrea, Nunziacarla Spanò, Enrico Gugliandolo, Alessio Filippo Peritore

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MKER: multi-modal knowledge extraction and reasoning for future event prediction by Chenghang Lai, Shoumeng Qiu

“…Abstract Humans can predict what will happen shortly, which is essential for survival, but machines cannot. …”
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The Rearing of Clown Loach (Chromobotia macracanthus) Larvae by Using Enriched Live Foods by . Chumaidi, . Nurhidayat, A. Priyadi

“…The experiment was done indoor by using plastic jars filled 5 L water and aerated continuously.  Twenty clown loach larvae of four days old, 5.58 ± 0.12   mm in average length,  were stocked in plastic jars and  were reared for 28 days. …”
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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification by Adeetya Patel, Camille Besombes, Theerthika Dillibabu, Mridul Sharma, Faleh Tamimi, Maxime Ducret, Peter Chauvin, Sreenath Madathil

“…The proposed models also exhibited greater robustness against dataset bias, as shown in ablation studies.…”
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Information-Enhanced Graph Neural Network for Transcending Homophily Barriers by Xiao Liu, Lijun Zhang, Hui Guan

“…While Message Passing Neural Networks (MPNNs) have shown remarkable success in node classification tasks, their performance often deteriorates within specific homophily ranges, which we term the gray area. In this work, we identify and theoretically demonstrate the challenges faced by MPNNs in this gray area, highlighting the limitations of existing approaches in addressing it. …”
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Trypsin-instructed bioactive peptide nanodrugs with cascading transformations to improve chemotherapy against colon cancer by Can Wu, Xiao Wei Zhang, Manman Wang, Jinpan Sun, Jianfei Chen, Yanbin Guan, Xin Pang

“…By the synergism of Pept NFs and Dox, caspase-3 can be further activated, and cause greater damage to nuclear, thereby leading to tumor ablation. As the first example of employing trypsin-mediated nanodrugs with cascading transformations to promote chemotherapeutic activity, this work promises a strategy for novel therapies for efficiently combating colon cancer. …”
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STIDNet: Spatiotemporally Integrated Detection Network for Infrared Dim and Small Targets by Liuwei Zhang, Zhitao Zhou, Yuyang Xi, Fanjiao Tan, Qingyu Hou

“…A mapping from the features to the target probability likelihood map is constructed in a spatiotemporal feature fusion module (STFFM) by performing 3D convolutional fusion on the spatially localized saliency and time-domain motion features. Finally, several ablation and comparison experiments indicate the excellent performance of the proposed network. …”
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Attention activation network for bearing fault diagnosis under various noise environments by Yu Zhang, Lianlei Lin, Junkai Wang, Wei Zhang, Sheng Gao, Zongwei Zhang

“…Our comparative and ablation experiments demonstrate that the model’s components, including the multi-location and multi-scale vibration extraction module, soft threshold noise filtering module, multi-scale self-activation mechanism, and layer attention mechanism, are highly effective in filtering noise from various locations and extracting multi-dimensional features. …”
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Harnessing Biochar for Sustainable Horticulture: Strategies to Cope with Abiotic Stress by Matteo Lentini, Michele Ciriello, Youssef Rouphael, Emanuela Campana, Francesco Primo Vaccari, Stefania De Pascale

“…Biochar, an important by-product of the waste biomass pyrolysis process, shows great potential to reduce the environmental impact of and address the serious problems related to climate change as well as to define an efficient circular economy model. …”
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Peptides: Emerging Candidates for the Prevention and Treatment of Skin Senescence: A Review by Andrada Pintea, Andrei Manea, Cezara Pintea, Robert-Alexandru Vlad, Magdalena Bîrsan, Paula Antonoaea, Emöke Margit Rédai, Adriana Ciurba

“…Physical techniques include thermal ablation (radiofrequency and laser), electrical methods (electroporation, iontophoresis), mechanical approach (microneedles), and ultrasounds. …”
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Comprehensive analysis of naturally occurring radionuclides in well water: Isotopic ratios, mitigation, and dose assessment by Francisco Piñero-García, Rimon Thomas, Eva Forssell-Aronsson, Mats Isaksson

“…On the other hand, the filtration and aeration purification treatment could help to remediate the radiological impact. …”
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CXCR6 Expression Is Important for Retention and Circulation of ILC Precursors by Sylvestre Chea, Cécilie Possot, Thibaut Perchet, Maxime Petit, Ana Cumano, Rachel Golub

“…Innate lymphoid cells are present at mucosal sites and represent the first immune barrier against infections, but what contributes to their circulation and homing is still unclear. …”
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Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting by Zhuofu Deng, Binbin Wang, Heng Guo, Chengwei Chai, Yanze Wang, Zhiliang Zhu

“…At last, forecasts of multiple quantiles are directly generated in one shot. With ablation experiments, the proposed model achieved the best results in the AQS, AACE, and inversion error, and especially the average of the AACE is grown by 34.71%, 75.22%, and 32.44% compared with QGBRT, QCNN, and QLSTM, respectively, indicating that our method has excellent reliability and robustness rather than the state-of-the-art models obviously. …”
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Impacts of Groundwater Recharge from Rubber Dams on the Hydrogeological Environment in Luoyang Basin, China by Shaogang Dong, Baiwei Liu, Huamin Liu, Shidong Wang, Lixin Wang

“…In the rubber dam’s impact area, the groundwater total hardness (TH) has declined since 2000, ultimately dropping to 100–300 mg/L in 2012. pH levels have shown no obvious changes. …”
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Loss of Lkb1 cooperates with BrafV600E and ultraviolet radiation, increasing melanoma multiplicity and neural‐like dedifferentiation by Kimberley McGrail, Elena González‐Sánchez, Paula Granado‐Martínez, Roberto Orsenigo, Yuxin Ding, Berta Ferrer, Javier Hernández‐Losa, Iván Ortega, Juan Martín‐Caballero, Eva Muñoz‐Couselo, Vicente García‐Patos, Juan A. Recio

“…Here, we report that, in a mouse model, concomitant neonatal BrafV600E activation and Lkb1 tumor suppressor ablation in melanocytes led to full melanoma development. …”
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Multi-sequence magnetic resonance imaging radiomics combined with imaging features predicts the difficulty of HIFU treatment of uterine fibroids by Li Shen, Xiao Huang, Yuyao Liu, Shanwei Bai, Fang Wang, Quan Yang

“…Abstract To establish a multivariate linear regression model for predicting the difficulty of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids based on multi-sequence magnetic resonance imaging radiomics features. …”
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EEG-DGRN: dynamic graph representation network for subject-independent ERP detection by Jiabin Zhu, Xuanyu Jin, Yuhang Ming, Wanzeng Kong

“…It achieves a remarkable mean balanced classification accuracy of 87.05%, outperforming all other methods compared in this study.Conclusion Such performance demonstrates its ability to extract subject-invariant EEG features and generalize effectively to unseen subjects. Lastly, ablation studies confirm the effectiveness of each module in EEG-DGRN, highlighting their contributions to the overall performance.…”
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Utilizing hydrophobic sand to construct an air permeable aquiclude to enhance rice yields by Jing Wu, Xiaoyan Ma, Yuming Su, Shengyi Qin, Francesco Pilla

“…Abstract The Chinese government attaches great importance to the ecological restoration of abandoned open-pit mines, increasing the area of cultivated land, and ensuring food security. …”
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D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory by Linliang Zhang, Shuyun Xu, Shuo Li, Lihu Pan, Su Gong

“…The model is tested against 10 algorithms using the PeMSD7(M) and PeMSD7(L) datasets, improving MAE, RMSE, and ACC by an average of 1.38% and 13.89%, 1% and 1.24%, and 5.92% and 1%, respectively. Ablation experiments, parameter impact analysis, and visual analysis all demonstrate the superiority of our decompositional approach in handling the dual characteristics of traffic data.…”
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