A pioneering longterm experiment on mesophotic macrofouling communities in the North Atlantic by João Canning-Clode, Francesca Gizzi, Andreia Braga-Henriques, Patrício Ramalhosa, Pedro Abreu, Soledad Álvarez, Manuel Biscoito, Pål Buhl-Mortensen, João Delgado, Diane Esson, Mafalda Freitas, Magno Freitas, Filipe Henriques, Joachim Jakobsen, Kirsten Jakobsen, Francis Kerckhof, Carsten Lüter, Carlos J. Moura, Marko Radeta, Rosana M. Rocha, Romana Santos, Pedro Sepúlveda, Rodrigo Silva, Teresa Silva, Javier Souto, Raül Triay-Portella, Peter Wirtz, Joana R. Xavier, Rolando Bastida-Zavala, Nikoleta Bellou, Sonia K. M. Gueroun, João G. Monteiro

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Multi-omics data reveal that SAA1 + fibroblasts exacerbate periodontitis by regulating macrophage inflammation and chemotaxis by Li Li, Yuting Yang, Fang Dai, Libin Deng, Meixiu Jiang, Chenjiang He, Ting Long, Kaiqiang Yang, Xinbo Yang, Li Song

“…Utilizing multiomics technologies to investigate the interaction networks of key cell clusters can systematically uncover regulatory mechanisms and identify critical therapeutic targets. …”
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Hierarchical Knowledge Transfer: Cross-Layer Distillation for Industrial Anomaly Detection by Junning Xu, Sanxin Jiang

“…First, HKT utilizes the deep knowledge of the highest feature layer in the teacher’s network to guide student learning at every level, thus enabling cross-layer interactions. …”
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InGSA: integrating generalized self-attention in CNN for Alzheimer's disease classification by Faisal Binzagr, Anas W. Abulfaraj

“…The proposed InGSA is based on the InceptionV3 model which is pre-trained, and it encompasses an additional generalized self-attention (GSA) block at top of the network. This GSA module is capable of capturing the interaction not only in terms of the spatial relations within the feature space but also over the channel dimension it is capable of picking up fine detailing of the AD information while suppressing the noise. …”
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A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms by Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang

“…This method is based on a triple attention mechanism designed to enhance the model’s ability to classify and recognize buoys of different colors in the channel while also making the feature extraction network more lightweight. …”
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Disability, rurality and spatial competence: on the importance of embodied knowledge and supportive contexts by Susanne Stenbacka

“… In this article, I investigate the interaction between the rural environment and disability to explore how place can be a resource in processes of participation and belonging. …”
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The problem of forming intercultural communicative competence in higher educational students by E. Klushina

“…Discusses five basic principles (active mood, networking, social interaction, reflection, responsibility) that interpret language as a social practice. …”
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High-entropy oxide for enhanced supercapacitors and precise electrochemical detection of dopamine at nanomolar levels by Elangovan Sivasurya, Francis Ashamary, Mari Elancheziyan, Jonnagaddala Harathi, M. Monika, Mani Arivazhagan, Narayanamoorthy Bhuvanendran, S. Philomina Mary, Raji Atchudan, Pramod K. Kalambate, Devaraj Manoj

“…In this regard, a class of six dissimilar elements (Co, Ni, Mn, Mo, V and Zn) with combination of non-noble and refractory elements has been formed a new type of (Co0.5Ni0.5Mn0.5Mo0.5V0.5Zn0.5)O based HEO. The multi-element interaction and carbonization network enhance ion conductivity, boosting specific capacitance to 698.4 F.g⁻¹ , far surpassing conventional metal oxides. …”
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Insights into the role of aromatic cationic surfactants in tailoring interfacial polymerization for high-performance reverse osmosis membranes by Jie Gao, Yongkai Xu, Nanxiang Wang, Dingxian Jia, Mingjie Wei, Shuang Hao, Yunxia Hu

“…Additionally, the strong π–π interaction between BEC and the PA network leads to a high embedding ratio of BEC within the membrane. …”
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ID071 Early stimulation strategies for children aged 0 to 3 years old with cerebral palsy: overview of systematic reviews by Aurélio Matos Andrade, Juliana da Motta Girardi, Rhaila Cortes Barbosa, Valdenize Tiziani, Flavia Tavares Silva Elias, Indyara de Araujo Morais, Priscilla Lemos Gomes

“…No interventions were identified in the school, community and social protection network. The interventions resulted in significant improvements in child development, body functions and structures, and functional abilities of activities and participation, such as locomotor movements, gait pattern, postural control, balance, muscle tone, joint mobility, visual and auditory functions, fine and gross motor skills, execution of activities of daily living, self-initiated movements, self-care, visual perception, interaction, face-to-face contact, vocalization and communication. …”
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The prevalence of victimization and the internet abuse in student population by Baltezarević Vesna, Baltezarević Radoslav, Baltezarević Borivoje

“…The use of modern information technology has contributed to the creation of new media and virtual tools that contribute to mass social interaction. The Internet has enabled networking communicator, associating in virtual communities and the creation of parallel communication space. …”
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Reflections of rural primary care physicians on the impact of the COVID-19 pandemic: a qualitative study by Mary F. Henningfield, Keelin McHugh, Sarina Schrager

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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

“…To address the insufficient cross-modal feature extraction capability, we enhance the student network’s image features using the teacher network’s point cloud spatial priors, thereby constructing a LiDAR-image cross-modal feature alignment mechanism. …”
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KnowVID-19: A Knowledge-Based System to Extract Targeted COVID-19 Information from Online Medical Repositories by Muzzamil Aziz, Ioana Popa, Amjad Zia, Andreas Fischer, Sabih Ahmed Khan, Amirreza Fazely Hamedani, Abdul R. Asif

“…In addition, KnowVID-19 leverages the NetworkX Python library to construct networks of the most relevant terms within publications. …”
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Water Properties of Soft Contact Lenses: A Comparative Near-Infrared Study of Two Hydrogel Materials by Jelena Munćan, Ivana Mileusnić, Jovana Šakota Rosić, Aleksandra Vasić-Milovanović, Lidija Matija

“…Our findings define in detail exact water species existing and interacting with the polymer network. The results show qualitative and quantitative possibilities of Aquaphotomics for better modelling and understanding water behaviour in hydrogel materials.…”
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The role of quantitative EEG biomarkers in Alzheimer’s disease and mild cognitive impairment: applications and insights by Yue Yuan, Yang Zhao

“…We highlight the application of qEEG biomarkers, including power spectrum analysis (oscillatory activity within frequency bands), functional connectivity (coherent neural couplings) and effective connectivity (directional neural interactions), microstates (brief, stable states of the brain network), and non-linear analyses (e.g., entropy and EEG network analysis). …”
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Educational Information System Optimization for Artificial Intelligence Teaching Strategies by Taotang Liu, Zhongxin Gao, Honghai Guan

“…In order to further enhance the local search ability of the algorithm, a multiclass interactive optimization algorithm is proposed in combination with the Euclidean distance-based clustering method, which changes the teaching mode from “one-person teaching” to “multiperson teaching.” …”
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Prediction of Temporal Liking from Temporal Dominance of Sensations by Using Reservoir Computing and Its Sensitivity Analysis by Hiroharu Natsume, Shogo Okamoto

“…For this purpose, we used a reservoir network, a type of recurrent neural network suitable for time–series data. …”
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Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

“…However, due to a lack of information interaction between entities, this stage struggles to excavate deeper semantic information. …”
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A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles by Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef

“…The proposed model-free torque vectoring algorithm performs based on the interaction of an agent with an environment to learn the optimal policy in a reward-driven manner and obtain the ability to dynamically adapt to varying conditions, such as different roads and vehicle speeds. …”
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