Adipositas & körperliche Aktivität by Furrer R, Handschin C

“…In this review, we summarize the regulation and function of these transcriptional regulators with a particular focus on exercise and inflammation in skeletal muscle.KEY WORDS: Skeletal Muscle, Exercise, Metabolism, Inflammation, PGC-1…”
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The link between optic neuritis and multiple sclerosis. Literature review by A. Kubiliūtė, R. Liutkevičienė

“…Patients who experience these conditions are usually young adults, therefore early diagnosis and control of the disease may benefit in preserving their neurological function and quality of life. The first attack of multiple sclerosis often presents as optic neuritis which is important to distinguish based on appropriate clinical signs and evaluation of diagnostic features. …”
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Power-Independent Microwave Photonic Instantaneous Frequency Measurement System by Ruiqiong Wang, Yongjun Li

“…The proposed system implements frequency measurement through the construction of an amplitude comparison function (ACF) curve, achieved by introducing a frequency-dependent time delay via an optical tunable delay line (OTDL) for the signal under test (SUT). …”
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PROTACs targeting epigenetic proteins by Chao Zhang, Yuna He, Xiuyun Sun, Wenyi Wei, Yanlong Liu, Yu Rao

“…The field of epigenetics pertains to alterations in gene function that are inherited without changes in the DNA sequence, including histone modifications, post-translational modifications of amino acids, and covalent modifications of DNA bases. …”
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Neuroinflammation and energy metabolism: a dual perspective on ischemic stroke by Wen Lei, Hao Zhuang, Weiyi Huang, Jun Sun

“…Studies indicate that dysregulation of energy metabolism significantly impairs neural cell function and interacts with neuroinflammation, exacerbating ischemic brain injury. …”
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Noninvasive Brain Stimulation for Motor Recovery after Stroke: Mechanisms and Future Views by Naoyuki Takeuchi, Shin-Ichi Izumi

“…Many reports have shown that NIBS application improves motor function in stroke patients by using their physiological peculiarity. …”
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Protein-DNA interaction in tight-binding paradigm by Hamze Mousavi, Ronak Emami

“…Abstract The interaction between protein and DNA across three distinct conformations of protein chains is examined in the framework of band structures and density of states analysis, utilizing a tight-binding Hamiltonian model in conjunction with Green’s function technique. At a constant temperature and with a predetermined number of sub-sites on the DNA strand, the spectral diagrams reveal a flat energy dispersion curve for both the protein molecules and the DNA strand independently, demonstrating characteristics akin to those of semiconductors. …”
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Mamba with split-based pyramidal convolution and Kolmogorov-Arnold network-channel-spatial attention for electroencephalogram classification by Zhe Li, Zhe Li

“…Incorporating KANs into the attention module of the proposed KSA-Mamba-PySPConv model better approximates the sample function while obtaining local network features. …”
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Protein C inhibitor (PCI) binds to phosphatidylserine exposing cells with implications in the phagocytosis of apoptotic cells and activated platelets. by Daniela Rieger, Alice Assinger, Katrin Einfinger, Barbora Sokolikova, Margarethe Geiger

“…The results of this study suggest a role of PCI not only for the function and/or maturation of macrophages, but also as a negative regulator of apoptotic cell and activated platelets removal.…”
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Assembly mechanism of fingolimod in lipid raft nanostructure domain by Wu Huan

“…Fingolimod (FTY720) is an immunomodulatory drug used to treat multiple sclerosis (MS), belonging to S1P receptor modulators. It regulates the function of immune cells by acting on the Sphingosine-1-phosphate receptor (S1P receptor), thereby achieving the effect of inhibiting immune system overactivity and slowing down the course of multiple sclerosis. …”
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Targeted drug screening for autism based on Cav1.2 calcium ion channel. by Chao Liu

“…We employed computational methods to virtually screen a large database of compounds for their potential to modulate Cav1.2 channel function. Molecular docking simulations were used to identify potential Cav1.2 inhibitors, followed by pharmacokinetic modeling to assess drug-like properties. …”
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Beyond the Neuron: The Integrated Role of Glia in Psychiatric Disorders by André Demambre Bacchi

“…The therapeutic implications range from anti-inflammatory agents to investigational compounds that aim to stabilize glial function or promote remyelination. However, challenges due to interindividual variability, insufficient biomarkers, and the multifactorial nature of psychiatric illnesses remain. …”
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A review on anti-cancer properties of quercetin in gastric cancer by Xiaoxia Xie, Yan Wei

“…Additionally, quercetin inhibits GC angiogenesis by downregulating vascular endothelial growth factor A (VEGF-A) and its receptor VEGFR-2 expression, and demonstrates anti-metastatic effects by modulating urokinase-type plasminogen activator (uPA) and its receptor (uPAR) function. …”
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Loss of Notch dimerization perturbs intestinal homeostasis by a mechanism involving HDAC activity. by Quanhui Dai, Kristina Preusse, Danni Yu, Rhett A Kovall, Konrad Thorner, Xinhua Lin, Raphael Kopan

“…TurboID followed by quantitative nano-spray MS/MS mass-spectrometry analyses in a human colon carcinoma cell line expressing either NOTCH2DD or NOTCH2 revealed an unbalanced interactome, with reduced interaction of NOTCH2DD with the transcription machinery but relatively preserved interaction with the HDAC2 interactome suggesting modulation via cooperativity. To ask if HDAC2 activity contributes to Notch loss-of-function phenotypes, we used the HDAC2 inhibitor Valproic acid (VPA) and discovered it could prevent the intestinal consequences of NDD and gamma secretase inhibitors (DBZ or DAPT) treatment in mice and spheroids, suggesting synergy between HDAC activity and pro-differentiation program in intestinal stem cells.…”
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Lactate metabolism and lactylation in kidney diseases: insights into mechanisms and therapeutic opportunities by Yuhua Cheng, Linjuan Guo

“…Novel post-translational modifications, such as lactylation, are critical in kidney disease pathophysiology by modulating gene transcription, protein function, and cellular metabolism. …”
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Humanities Education for Engineering Students: Enhancing Soft Skills Development by Fouzia Munir

“…Soft skills enable engineers to function effectively in teams and to design solutions considering the human perspective. …”
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Effects of oxidized phospholipids on gene expression in RAW 264.7 macrophages: a microarray study. by Daniel Koller, Hubert Hackl, Juliane Gertrude Bogner-Strauß, Albin Hermetter

“…POVPC seems to affect cell physiology to a great extent on the protein level, whereas PGPC gives rise to both the modulation of protein function and regulation on the transcriptional level.…”
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Berberine as a Bioactive Alkaloid: Multi-Omics Perspectives on Its Role in Obesity Management by Bartłomiej Zieniuk, Magdalena Pawełkowicz

“…Metabolomic profiling reveals critical shifts in bile acid metabolism, short-chain fatty acid production, and mitochondrial function. Recent studies also highlight berberine’s anti-inflammatory effects and regulatory influence on glucose homeostasis. …”
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Probiotics in Disease Management for Sustainable Poultry Production by Gelana Urgesa Ayana, Robert Kamutambuko

“…This review provides a comprehensive analysis of the scientific rationale behind probiotic interventions in poultry, highlighting their ability to modulate the gut microbiota, enhance immune function, and mitigate pathogen proliferation and the mechanisms by which probiotics influence poultry health. …”
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Fusion of Focal Loss’s cyber threat intelligence entity extraction by Yuanbo GUO, Yongfei LI, Qingli CHEN, Chen FANG, Yangyang HU

“…Cyber threat intelligence contains a wealth of knowledge of threat behavior.Timely analysis and process of threat intelligence can promote the transformation of defense from passive to active.Nowadays, most threat intelligence that exists in the form of natural language texts contains a large amount of unstructured data, which needs to be converted into structured data for subsequent processing using entity extraction methods.However, since threat intelligence contains numerous terminology such as vulnerability names, malware and APT organizations, and the distribution of entities are extremely unbalanced, the performance of extraction methods in general field are severely limited when applied to threat intelligence.Therefore, an entity extraction model integrated with Focal Loss was proposed, which improved the cross-entropy loss function and balanced sample distribution by introducing balance factor and modulation coefficient.In addition, for the problem that threat intelligence had a complex structure and a wide range of sources, and contained a large number of professional words, token and character features were added to the model, which effectively improved OOV (out of vocabulary) problem in threat intelligence.Experiment results show that compared with existing mainstream model BiLSTM and BiLSTM-CRF, the F1 scores of the proposed model is increased by 7.07% and 4.79% respectively, which verifies the effectiveness of introducing Focal Loss and character features.…”
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