Molecular rotor as a high-temperature Brownian motor by O. Ye. Tsomyk, T. Ye. Korochkova, V. M. Rozenbaum

“…Moreover, there exists a qualitative difference, in the low-frequency asymptotics of the rotor velocity, between harmonic and stepwise external field: the average velocity of rotation is proportional to the square of the field modulation frequency in the former case, and it is the linear function of the frequency in the later case.…”
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Mechanism of human α3β GlyR regulation by intracellular M3/M4 loop phosphorylation and 2,6-di-tert-butylphenol interaction by Xiaofen Liu, Malgorzata Krezel, Weiwei Wang

“…Combining cryo-Electron Microscopy (cryo-EM) structures and single molecule Förster resonance energy transfer (smFRET) experiments, we show compaction of M3/M4 loop towards the ion conduction pore upon phosphorylation and further by 2,6-DTBP binding, which in turn modulates function through changing pore conformations and local electrostatics. …”
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Phospholipase D6 activates Wnt/β-catenin signaling through mitochondrial metabolic reprogramming to promote tumorigenesis in colorectal cancer by Hyun Ji Lee, Seong Hun Lim, Hyesung Lee, Jung Min Han, Do Sik Min

“…Notably, Wnt signaling, energy metabolism and mitochondrial function show complex interactions in colorectal cancer (CRC) progression. …”
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Effect of Calcium on the Characteristics of Action Potential Under Different Electrical Stimuli by Xuan Qiao, Wei Yao

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Characterizing host-microbe interactions with bacterial effector proteins using proximity-dependent biotin identification (BioID) by Mădălina Mocăniță, Kailey Martz, Vanessa M. D’Costa

“…At a molecular level, this is often mediated by virulence factors that are secreted into host cells (herein referred to as effectors), which target host cellular pathways by initiating host-pathogen protein-protein interactions that alter cellular function in the host. By establishing this network of host-pathogen protein-protein interactions, pathogenic bacteria modulate and hijack host cell processes for the benefit of the pathogen, ultimately promoting survival, replication, and cell-to-cell spread within the host. …”
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Noninfectious retrovirus particles drive the APOBEC3/Rfv3 dependent neutralizing antibody response. by Diana S Smith, Kejun Guo, Bradley S Barrett, Karl J Heilman, Leonard H Evans, Kim J Hasenkrug, Warner C Greene, Mario L Santiago

“…The underlying mechanism does not involve a direct effect of Apobec3 on B cell function. Here we show that while Apobec3 decreased titers of infectious virus during acute FV infection, plasma viral RNA loads were maintained, indicating substantial release of noninfectious particles in vivo. …”
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Co-graft of allogeneic immune regulatory neural stem cells (NPC) and pancreatic islets mediates tolerance, while inducing NPC-derived tumors in mice. by Raffaella Melzi, Barbara Antonioli, Alessia Mercalli, Manuela Battaglia, Andrea Valle, Stefano Pluchino, Rossella Galli, Valeria Sordi, Emanuele Bosi, Gianvito Martino, Ezio Bonifacio, Claudio Doglioni, Lorenzo Piemonti

“…Unfortunately, stable graft function was accompanied by constant and reproducible development of NPC-derived cancer mainly sustained by insulin secretion.…”
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Plasma membrane profiling defines an expanded class of cell surface proteins selectively targeted for degradation by HCMV US2 in cooperation with UL141. by Jye-Lin Hsu, Dick J H van den Boomen, Peter Tomasec, Michael P Weekes, Robin Antrobus, Richard J Stanton, Eva Ruckova, Daniel Sugrue, Gavin S Wilkie, Andrew J Davison, Gavin W G Wilkinson, Paul J Lehner

“…Here we show that US2 function goes far beyond MHC-I degradation. A systematic proteomic study using Plasma Membrane Profiling revealed US2 was unique in downregulating additional cellular targets, including: five distinct integrin α-chains, CD112, the interleukin-12 receptor, PTPRJ and thrombomodulin. …”
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Deepfake detection method based on patch-wise lighting inconsistency by Wenxuan WU, Wenbo ZHOU, Weiming ZHANG, Nenghai YU

“…The rapid development and widespread dissemination of deepfake techniques has caused increased concern.The malicious application of deepfake techniques also poses a potential threat to the society.Therefore, how to detect deepfake content has become a popular research topic.Most of the previous deepfake detection algorithms focused on capturing subtle forgery traces at pixel level and have achieved some results.However, most of the deepfake algorithms ignore the lighting information before and after generation, resulting in some lighting inconsistency between the original face and the forged face, which provided the possibility of using lighting inconsistency to detect deepfake.A corresponding algorithm was designed from two perspectives: introducing lighting inconsistency information and designing a network structure module for a specific task.For the introduction of lighting task, a new network structure was derived by designing the corresponding channel fusion method to provide more lighting inconsistency information to the network feature extraction layer.In order to ensure the portability of the network structure, the process of feature channel fusion was placed before the network extraction information, so that the proposed method can be fully planted to common deepfake detection networks.For the design of the network structure, a deepfake detection method was proposed for lighting inconsistency based on patch-similarity from two perspectives: network structure and loss function design.For the network structure, based on the characteristic of inconsistency between the forged image tampering region and the background region, the extracted features were chunked in the network feature layer and the feature layer similarity matrix was obtained by comparing the patch-wise cosine similarity to make the network focus more on the lighting inconsistency.On this basis, based on the feature layer similarity matching scheme, an independent ground truth and loss function was designed for this task in a targeted manner by comparing the input image with the untampered image of this image for patch-wise authenticity.It is demonstrated experimentally that the accuracy of the proposed method is significantly improved for deepfake detection compared with the baseline method.…”
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Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model by Zehua Li, Yongjun Lin, Yihui Pan, Xu Ma, Xiaola Wu

“…The CIoU loss function was replaced by the EIoU loss function, enhancing the convergence speed of the model. …”
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Autophagy: a double-edged sword in ischemia–reperfusion injury by Lingxuan Tang, Wangzheqi Zhang, Yan Liao, Weijie Wang, Xiaoming Deng, Changli Wang, Wenwen Shi

“…By comprehending the dual mechanisms of autophagy and their implications for organ function, this study seeks to explore the potential for therapeutic interventions through the modulation of autophagy within clinical settings.…”
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Effect of lateralized epileptic discharges on the thought flow by Paulo Bueno de Mendonça, Lucy Campos Piccinin, Celso Medeiros Capucho, Carlos José Reis de Campos

“…CONCLUSIONS: We suggest a possible inhibitory inter-hemispheric function of the right hemisphere modulating verbal expression of the thought flow. …”
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A variational method to study the Zakharov equation by Arun Kumar

“…The solution of Zakharov equation gives a good description of both linear and nonlinear evolutions of instabilities generated in waves due to modulation. The spatially periodic trial function is chosen in the form of combination of Jacobian elliptic functions with the dependence of its parameters subject to optimization. …”
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Plasma Fatty Acid Profiling and Mathematical Estimation of the Omega-3 Index: Toward Diagnostic Tools in Atherosclerosis and Statin Therapy Monitoring by Nikolay Eroshchenko, Elena Danilova, Anastasiia Lomonosova, Alexey Antonik, Svetlana Lebedeva, Daria Gognieva, Dmitry Shchekochikhin, Tatiana Demura, Marina Krot, Nana Gogiberidze, Abram Syrkin, Philipp Kopylov

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YO-AFD: an improved YOLOv8-based deep learning approach for rapid and accurate apple flower detection by Dandan Wang, Dandan Wang, Huaibo Song, Huaibo Song, Huaibo Song, Bo Wang

“…Additionally, to balance attention between simple and challenging targets, a regression loss function based on Focaler Intersection over Union (FIoU) was used for loss function calculation. …”
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Extracellular Vesicles Derived From Lipopolysaccharide‐Challenged Gingival Fibroblast Reveal Distinct miRNA Expression Patterns Associated With Reduced Cancer Survival by Daniel Diehl, Charlotte Lauren Brauer, Hagen S. Bachmann, Daniel Pembaur, Patrick Philipp Weil, Anton Friedmann

“…However, LPS‐derived EVs exhibited a 2.6‐fold increase in miRNA content, with three significantly upregulated miRNAs: miR‐146a‐5p, miR‐486‐5p, and miR‐451a. Functional enrichment analysis revealed their involvement in inflammation, immune modulation, and cancer pathways. …”
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Reversing VTN deficiency inhibits the progression of pancreatic cancer and enhances sensitivity to anti-PD1 immunotherapy by Siqi Zhao, Zhaofeng Gao, Lingyu Hu, Yihan Li, Xiaoguang Wang, Xiaoping Li, Minjie Chen, Fei Chen, Zhengwei Song

“…In a mouse model, VTN overexpression inhibited tumor growth and synergized with anti-PD1 therapy to enhance antitumor efficacy, suggesting combinatorial therapeutic potential.ConclusionsThis study identifies VTN as a dual-functional regulator in pancreatic cancer, acting as both a suppressor of tumor progression and a modulator of immunotherapy response. …”
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Gentiopicroside improves DSS-induced ulcerative colitis and secondary liver injury in mice by enhancing the intestinal barrier and regulating the gut microbiome by Liu Cao, Mengyuan Niu, Xiaoqing Tang, Yiting Wang, Xianjing Hu, Weibo Dai

“…Moreover, GPS improved liver function and reduced hepatic inflammatory markers, indicating mitigation of SLI. …”
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Fault diagnosis method for rolling bearings based on CWT-IDenseNet by Guangfei JIA, Hanwen LIANG, Jinqiu YANG, Zhe WU, Yuxin HAN

“…Then, the DenseNet network was turned into IDenseNet, the ReLU activation function in the first convolutional block of DenseNet was replaced by the Swish activation function(which was smoother), and the style-based recalibration module (SRM) and the convolutional block attention module (CBAM) were introduced into the DenseNet network. …”
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LncRNA‐MEG3 Regulates Muscle Mass and Metabolic Homeostasis by Facilitating SUZ12 Liquid–Liquid Phase Separation by Yilong Yao, Chao Yan, Haibo Huang, Shilong Wang, Jiaying Li, Yun Chen, Xiaolu Qu, Qi Bao, Lingna Xu, Yuanyuan Zhang, Danyang Fan, Xia He, Yanwen Liu, Yongsheng Zhang, Yalan Yang, Zhonglin Tang

“…Abstract Skeletal muscle plays a crucial role in maintaining motor function and metabolic homeostasis, with its loss or atrophy leading to significant health consequences. …”
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