Spacecraft Intelligent Fault Diagnosis under Variable Working Conditions via Wasserstein Distance-Based Deep Adversarial Transfer Learning by Gang Xiang, Kun Tian

“…Moreover, an improved one-dimensional convolutional neural network- (CNN-) based feature extractor which utilizes exponential linear units (ELU) as activation functions and wide kernels is designed to automatically extract the latent features of raw time-series input data. …”
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Assessment of Power Transformer Technical State Using Explainable Artificial Intelligence by Khalyasmaa A.I., Matrenin P.V., Eroshenko S.A.

“…The functioning of deeply integrated technological systems in the power industry depends on the quality of power supply systems. …”
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Channel concavity controls planform complexity of branching drainage networks by L. Goren, E. Shelef

“…<p>The planform geometry of branching drainage networks controls the topography of landscapes and their geomorphic, hydrologic, and ecologic functionality. The complexity of networks' geometry shows significant variability, from simple, straight channels that flow along the regional topographic gradient to intricate, tortuous flow patterns. …”
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Structural optimization, compressive strength analysis, and application exploration of triply periodic minimal surfaces (TPMS) in interior design by Yu Huang, LeiLei Zhai

“…Abstract In modern interior design, the selection of materials and structural optimization are critical to achieving both functionality and aesthetic appeal. Triply periodic minimal surfaces (TPMS), with their outstanding mechanical properties and lightweight characteristics, have increasingly attracted the attention of designers. …”
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Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining by Ping Jiang, Junzi Zhang, Jiejie Chen

“…By combining L1 loss, perceptual loss, and multi-scale loss functions, Enhanced DeRainNet adopts an encoder decoder architecture to balance pixel level accuracy and perceptual quality of images. …”
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Expression of inhibitory receptors on CD4+ and CD8+ T cells from healthy Colombian donors by Adriana Cuéllar, Paola Lasso

“…T cell activation involves positive cellular signals that promote effector functions and negative signals that contribute to the regulationof these responses. …”
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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…Existing research primarily prioritizes physical safety and functional infrastructure, while often neglecting the psychosocial dimensions of urban spaces, such as how sensory stimuli, spatial aesthetics, and perceived safety collectively influence residents’ daily emotional states. …”
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Plant and soil nutrient stoichiometry along primary ecological successions: Is there any link? by Francesca Di Palo, Dario A Fornara

“…Instead changes in plant nutrient stoichiometry were "driven" by plant-functional-group identity. Not only N:P ratios differed between legumes, grasses and forbs but each of these plant functional groups maintained N:P ratios relatively constant across pioneer, middle and advanced successional stages. …”
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Machine learning-based MRI radiomics predict IL18 expression and overall survival of low-grade glioma patients by Zhe Zhang, Yao Xiao, Jun Liu, Feng Xiao, Jie Zeng, Hong Zhu, Wei Tu, Hua Guo

“…Abstract Interleukin-18 has broad immune regulatory functions. Genomic data and enhanced Magnetic Resonance Imaging data related to LGG patients were downloaded from The Cancer Genome Atlas and Cancer Imaging Archive, and the constructed model was externally validated using hospital MRI enhanced images and clinical pathological features. …”
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Vertical Stratification of Butterfly Assemblages Persists in Highly Disturbed Forest Fragments of the Brazilian Atlantic Forest by Denise B. Silva, André V. L. Freitas, Oscar F. Junior, Jessie P. Santos

“…We demonstrated that vertical stratification is maintained even in disturbed forests; however, this does not necessarily provide support for a good quality and functioning ecosystem in these habitats. The butterfly assemblages recorded here are a subset of the species pool that inhabits conserved remnants. …”
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Design and Application of an Energy Management System Based on Artificial Intelligence Technology by Hongye Lin, Xuanying Bai, Chun Li, Shenghan Xu, Haibin Xu, Zne-Jung Lee, Yun Lin, Qunshan Zhou, Jingxun Cai

“…The system adopts sensor technology and data acquisition equipment to monitor various types of energy consumption in buildings in real time, efficiently process and predict these data through machine learning algorithms, and finally visualize the results. The system is functionally complete, completing the process from data collection to visualization, the cloud platform’s construction, and finally a full energy management platform. …”
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Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows by Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li

“…The AD‐based framework not only includes forword modeling and associated gradient computations for wave equations in various types of media from isotropic acoustic to vertically or horizontally transverse isotropic elastic, but also incorporates a suite of objective functions, regularization techniques, and optimization algorithms. …”
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Transcriptome analysis of skeletal muscles revealed the effect of exercise on the molecular mechanisms regulating muscle growth and metabolism in patients with heart failure by O. A. Ivanova, E. V. Ignatieva, T. A. Lelyavina, V. L. Galenko, M. Yu. Komarova, M. A. Bortsova, M. Yu. Sitnikova, A. A. Kostareva, A. A. Sergushichev, R. I. Dmitrieva

“…We have shown that personalized exercise program in patients with HF stimulates the activation of molecular pathways regulating the differentiation and functioning of skeletal muscles: commitment of muscle progenitor cells; mechanisms regulating the calcium release and sensitivity of myofibrillar contraction, electrical excitability of the muscle membrane, synaptic vesicle proton gradient creation, maintenance of electrochemical gradients of Na+ /K+ . …”
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Effectiveness of dual-task computerized cognitive training in the prevention of postoperative cognitive dysfunction in coronary bypass surgery by O. A. Trubnikova, I. V. Tarasova, I. N. Kukhareva, T. B. Temnikova, A. S. Sosnina, I. D. Syrova, D. S. Kupriyanova, O. I. Barbarash

“…The best results of cognitive functioning were achieved in neurodynamics and short-term memory. …”
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Anomaly detection of adversarial cyber attacks on electric vehicle charging stations by Sagar Babu Mitikiri, Vedantham Lakshmi Srinivas, Mayukha Pal

“…Intruders pose potential risks to the security, reliability, and functionality of the EVCI, by spoofing the data through these charging ports leading to anomalies in the data. …”
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Adjoint-Assisted Shape Optimization of Microlenses for CMOS Image Sensors by Rishad Arfin, Jens Niegemann, Dylan McGuire, Mohamed H. Bakr

“…The functionality and robustness of the optimization framework are thoroughly evaluated. …”
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Upgoing and Downgoing Wavefield Separation in Vertical Seismic Profiling Guided by Signal Knowledge Representation by Cai Lu, Liyuan Qu, Jijun Liu, Jianbo Gao

“…Its distinct branches extracted up/down wave information, while the KRs, transformed into loss functions, enabled knowledge-driven unsupervised VSP wave separation. …”
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Experimental and numerical evaluation of heat and mass transfer of a compressed raw earth block wall by Sara Chehade, Nicolas Dujardin, David Giovannacci, Abderrahim Boudenne

“…The wall also functioned as a moisture barrier, with internal moisture levels not stabilizing after 20 days at 80 % relative humidity. …”
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Self‐Learning e‐Skin Respirometer for Pulmonary Disease Detection by Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau

“…To empower the eSR with early diagnosis functionality, self‐learning capability is further added by integrating the respirometer with the machine learning algorithms. …”
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A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems by Yuanyu Ge, Jun Xie, Jiaqi Chang, Shuo Feng

“…Then, the scheduling problem is developed into a Markov decision process (MDP), in which the state, action, and reward functions of the WSHBCS are designed accordingly. Finally, a multi-policy twin delayed deep deterministic policy gradient (MPTD3) method is put forth to achieve intelligent decisions in continuous action spaces. …”
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