Adaptive deep feature representation learning for cross-subject EEG decoding by Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang

“…We then utilize the instance-based discriminative feature learning (IDFL) regularization to make the learned feature representations more discriminative. Finally, the entropy minimization (EM) regularization is further integrated to adjust the classifier to pass through the low-density region between clusters. …”
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On the Adversarial Robustness of Decision Trees and a Symmetry Defense by Blerta Lindqvist

“…Against perfect-knowledge adversaries for the GBDT classifier of the F-MNIST dataset, we use the feature inversion and horizontal flip symmetries and exceed the accuracies of default and robust classifiers by up to 96% points. Finally, we show that the current definition of adversarial robustness based on the minimum perturbation values of misclassifying adversarial samples might be inadequate for two reasons. …”
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Conservation networks do not match the ecological requirements of amphibians by Matutini, Florence, Baudry, Jacques, Fortin, Marie-Josee, Pain, Guillaume, Pithon, Josephine

“…Then, to identify spatial continuity in suitable habitats at the regional scale, we defined species and multi-species core habitats to perform a connectivity analysis using Circuitscape theory. Finally, we compared different suitability maps with existing conservation networks to assess conservation coverage and efficiency. …”
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Utilizing sc-linker to integrate single-cell RNA sequencing and human genetics to identify cell types and driver genes associated with non-small cell lung cancer by Yangfan Zhou, Liang Zhao, Meimei Cai, Doudou Luo, Yizhen Pang, Jianhao Chen, Qicong Luo, Qin Lin

“…By integrating extensive single-cell data from NSCLC, we discerned heterogeneity among CAFs subgroups. Finally, using MAGMA, we identified RAB31 as a driver gene in disease-related fibroblasts. …”
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Design of an Integrated Model for Video Summarization Using Multimodal Fusion and YOLO for Crime Scene Analysis by Sai Babu Veesam, Aravapalli Rama Satish

“…Spatio-temporal action localization is achieved with the help of 3D Convolutional Neural Networks, along with Temporal Attention Networks that capture all weapon-related actions with the best set of critical frames. Finally, a feedback-driven reinforcement learning framework named RL-HITL allows continuous improvement based on human input, which enhances the adaptability of the system over temporal instance sets. …”
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The effects of oleuropein on lung and heart injury in cecal ligation and puncture - induced sepsis by Hüseyin Serkan Erol, Tuba Aydın, Serkan Yıldırım, İsmail Can, Mesut Bünyami Halıcı

“…After 24 hours, blood samples, lungs and hearts tissues were taken. The creatine kinase (CK) and lactate dehydrogenase (LDH) activities in serum, lipid peroxidation (LPO), glutathione (GSH), superoxide dismutase (SOD) and catalase (CAT) levels were all determined. …”
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Interactive Influence Analysis of Tunnel Lateral Clearance on Driving Behavior Using Expressway Field Data by Li Wan, Mo Zhou, Ge Liu, Chang-An Zhang, Ying Yan

“…Second, the interactive influence of the design speed, lateral clearance, operating speed, steering wheel angle, and other indicators were analyzed. Finally, paired t-test analysis and Wilcoxon and Friedman nonparametric tests were used to compare the differences in various indicators among different lateral clearance schemes. …”
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Scrapie-Responsive Gene 1 Promotes Chondrogenic Differentiation of Umbilical Cord Mesenchymal Stem Cells via Wnt5a by Yuchuan Zhou, Tian Zheng, Lin Li, Yangfang Guo, Jiayu Xiao, Jin Wang, Zhiqin Du, Hui Gao, Weiwei Tang, Liusan Yang, Haiyan Hu, Xiaodan Wang, Mingyao Meng, Zongliu Hou

“…The function of SCRG1 in chondrogenic potential was evaluated after gene knockdown or overexpression by lentiviral vectors. Finally, a rabbit cartilage defect model was established to evaluate the effect of SCRG1 on cartilage repair in vivo. …”
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Upper Leg Muscular Co-Contraction During Maximal-Speed Sprinting in Male Club Ice Hockey Athletes by Jason J. Williams, William C. Roshinski, Joseph C. Watso

“…Early swing phase duration was moderately inversely related to Hip CCI in the stance phase (ρ=-0.58, p < 0.01) and weakly related to Knee CCI in the swing phase (ρ = 0.44, p = 0.046). Finally, swing phase duration was moderately inversely related to Hip CCI in the stance phase (ρ=-0.50, p = 0.02). …”
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Carvacrol acetate activated Nrf2 modulates mitophagy for the treatment of neurocyte oxidative stress induced by chlorpyrifos by Hong-Ling Zhou, Bei-Bei Wang, Xu-Li Fan, Xiao-Min Zhang, Ying Song

“…These findings suggest that CAA modulates mitochondrial function and autophagy by regulating the Nrf2 signalling pathway to mitigate the toxic damage. Finally, the effect of the autophagy inhibitor, 3-MA, on PC12 cells suggests that CAA promotes mitophagy by participating in the Nrf2 pathway, thereby preventing CPF-induced oxidative stress damage.…”
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Antioxidant effect of Lactobacillus fermentum HFY02-fermented soy milk on D-galactose-induced aging mouse model by Tiantian Hu, Rui Chen, Yu Qian, Ke Ye, Xingyao Long, Kun-Young Park, Xin Zhao

“…In conclusion, soybean milk fermented by LF-HFY02 can increase the content of antioxidant factors and the activity of antioxidant enzymes by regulating gene and protein expression, and finally inhibit the process of tissue cell peroxidation, and improve the oxidative damage of mouse skin and liver. …”
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MicroRNAs Expression Profile in MN1-Altered Astroblastoma by Francesca Gianno, Evelina Miele, Claudia Sabato, Elisabetta Ferretti, Simone Minasi, Francesca Romana Buttarelli, Debora Salerno, Natalia Pediconi, Giuseppe Rubens Pascucci, Francesca Guerrieri, Andrea Ciolfi, Simone Pizzi, Maura Massimino, Veronica Biassoni, Elisabetta Schiavello, Marco Gessi, Sofia Asioli, Angela Mastronuzzi, Antonio d’Amati, Giuseppina Catanzaro, Elisabetta Viscardi, David Capper, Felice Giangaspero, Manila Antonelli

“…Subsequently, the methylation status of promoters of deregulated miRNAs was investigated through a methylation profiling microarray. Finally, bioinformatics analysis was conducted to explore the biological processes (BPs) and target genes of differentially expressed miRNAs. …”
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Effects of acteoside from Cistanche tubulosa on the plasma metabolome of cancer-related fatigue mice inoculated with colon cancer cells by Shilei Zhang, Fukai Gong, Jiali Liu, Shuping You, Tao Liu, Jianhua Yang, Junping Hu

“…Fatigue-associated behaviors, tumor inhibition rate, and skeletal muscle morphology assessed by hematoxylin-eosin (H&amp;E) staining and electron microscopy were evaluated. Finally, liquid chromatography-mass spectrometry (LC/MS) was employed to investigate alterations in the plasma metabolic profile of tumor-bearing mice with CRF in response to ACT treatment, and the affinity between metabolite-associated proteins and ACT was verified by Surface plasmon resonance (SPR) assay.ResultsOur study demonstrated the presence of CRF in the colon cancer mouse model, with the severity of fatigue increasing alongside tumor growth. …”
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Plasma Chemerin Levels Are Increased in ST Elevation Myocardial Infarction Patients with High Thrombus Burden by Ahmet Hakan Ateş, Uğur Arslan, Aytekin Aksakal, Ahmet Yanık, Metin Özdemir, Selim Kul

“…CRP levels and peak creatine kinase-MB (CK-MB) levels were higher, and left ventricular ejection fraction and post-PCI TIMI flow were lower in patients with high thrombus burden. …”
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Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map by Xiaojun Chen

“…The algorithm introduces “Synonyms Cilin” to calculate the correlation between the semantic items, vocabulary, and query vector in the user query record to obtain the similarity between users and finally gives a user similarity calculation that integrates user ratings and query vectors method. …”
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Experimental Study on Thermal Conductivity of Organic-Rich Soils under Thawed and Frozen States by Ruixia He, Ning Jia, Huijun Jin, Hongbo Wang, Xinyu Li

“…Results show that soil thermal conductivity declines slowly with the lowering temperatures from 10 to 0°C; however, it increases and finally stabilizes when temperature further lowers from 0 to -10°C. …”
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Early Warning Simulation of Urban Vulnerability in Coal-Resource-Based Cities Based on System Dynamics by Dongmei Feng, Liang Wang, Xiumei Duan

“…Influenced by the pandemic, Fushun City’s overall vulnerability has shown an upward trend since 2020 compared to the previous stage. Finally, specific policy suggestions are proposed for Fushun City to cope with vulnerability changes based on the analysis results, providing a theoretical basis for achieving sustainable development in such coal-resource-based cities.…”
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Resistance to viruses of potato: current status and prospects by S. S. Makarova, V. V. Makarov, M. E. Taliansky, N. O. Kalinina

“…However, these approaches have essential limitations because the acquired resistance is highly specific (against individual viruses only), is not durable, can be overcome by viruses and, finally due to regulatory bans on genetically modified organisms. …”
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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…We also used LIME and SHAP for model interpretability, offering insights into the decision-making process, and employed Grad-CAM and Grad-CAM++ to visually highlight key areas in leaf images. Finally, the best model was integrated into a web-based system for practical use by tomato cultivators. • XSE-TomatoNet is an enhanced version of EfficientNetB0 which incorporates Squeeze-and-Excitation (SE) blocks and multi-scale feature fusion. • XSE-TomatoNet outperformed MobileNet (87.44%) and VGG-19 (95.50%), in terms of accuracy, achieving 99.41%. • Integration of interpretation using LIME and SHAP models gives higher level understanding of the diseases and employment of Grad-CAM and Grad-CAM++ shows visual representation of the diseased leaves.…”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…The performance of most ML models was better than that of the linear models. Finally, as a research objective, we introduced the collocated black carbon mass concentration measurements into the ML models but found no significant improvement in the model performance.…”
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