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Vitamin B12 as an epidrug for regulating peripheral blood biomarkers in long COVID-associated visuoconstructive deficit
A new concept and surgical approach for Chiari malformation type I based on the protection and strengthening of the myodural Bridge
IMU-Based quantitative assessment of stroke from gait
Deep-Red and Ultrafast Photocatalytic Proximity Labeling Empowered <i>In Situ</i> Dissection of Tumor-Immune Interactions in Primary Tissues
Comparing the efficacy and safety of cryoablation and microwave ablation in treating paravertebral metastases of rabbit VX2 tumor
Application of a 3D printed wig protection device after decompressive craniectomy
Neurons of the Central Nucleus of the Amygdala That Express Angiotensin Type 2 Receptors Couple Lowered Blood Pressure with Anxiolysis in Male Mice
Relief from psychological stress confers cardio-protection by altering brain activity and lowering blood pressure; however, the neuronal circuits orchestrating these effects are unknown. Here, we used male mice to discern neuronal circuits conferring stress relief and reduced blood pressure. We found that neurons residing in the central nucleus of the amygdala (CeA) expressing angiotensin type 2 receptors (AT 2 R), deemed CeA AT2R , innervate brain nuclei regulating stress responding. In vivo optogenetic excitation of CeA AT2R lowered blood pressure, and this effect was abrogated by systemic hexamethonium or antagonism of GABA receptors within the CeA. Intriguingly, in vivo optogenetic excitation of CeA AT2R was also potently anxiolytic. Delivery of an AT 2 R agonist into the CeA recapitulated the hypotensive and anxiolytic effects, but ablating AT 2 R(s) from the CeA was anxiogenic. The results suggest that the excitation of CeA AT2R couples lowered blood pressure with anxiolysis. The implication is that therapeutics targeting CeA AT2R may provide stress relief and protection against cardiovascular disease.
Predicting CaO activity in multiple slag system using improved whale optimization algorithm and categorical boosting
Abstract The activity of slag components is one of the primary factors influencing the thermodynamic properties of slag. In this study, a feasible model was established to predict the a(CaO) using improved whale optimization algorithm (IWOA) and Categorical Boosting (CatBoost). The effects of other variables on a(CaO) were listed in descending order of influence as follows: w(CaO), w(SiO2), temperature, w(MgO), and w(Al2O3). And the IWOA-CatBoost model achieved the highest R2 value of 0.9200, lowest RMSE of 0.0042, and lowest MAE of 0.0030 in predicting the a(CaO). The performance of the optimal IWOA-CatBoost model was evaluated and compared with that of known models. The results demonstrate that the IWOA-CatBoost model outperformed existing models and methods, such as the Factsage, ion and molecule coexistence theory, and genetic algorithm—backpropagation neural network. The accurate calculation of slag component activity is of great significance to the analysis of the thermodynamic properties of slag. Meanwhile, the approach and algorithm used to develop the a(CaO) prediction model can also be applied to predicting the activity of other slag components or other metallurgical applications (e.g., predicting molten steel temperature, steel composition, and alloy yield).
Advances in Organic Small Molecule-Based Fluorescent Probes for Precision Detection of Liver Diseases: A Perspective on Emerging Trends and Challenges
Dynamics of Pitch Perception in the Auditory Cortex
The ability to perceive pitch allows human listeners to experience music, recognize the identity and emotion conveyed by conversational partners, and make sense of their auditory environment. A pitch percept is formed by weighting different acoustic cues (e.g., signal fundamental frequency and interharmonic spacing) and contextual cues (expectation). How and when such cues are neurally encoded and integrated remains debated. In this study, 28 participants (16 female) listened to tone sequences with different acoustic cues (pure tones, complex missing fundamental tones, and tones with an ambiguous mixture), placed in predictable and less predictable sequences, while magnetoencephalography was recorded. Decoding analyses revealed that pitch was encoded in neural responses to all three tone types in the low-to-mid auditory cortex and sensorimotor cortex bilaterally, with right-hemisphere dominance. The pattern of activity generalized across cue types, offset in time: pitch was neurally encoded earlier for harmonic tones (∼85 ms) than pure tones (∼95 ms). For ambiguous tones, pitch emerged significantly earlier in predictable contexts than in unpredictable. The results suggest that a unified neural representation of pitch emerges by integrating independent pitch cues and that context alters the dynamics of pitch generation when acoustic cues are ambiguous.