Hybrid computational model depicts the contribution of non-significant lobes of human brain during the perception of emotional stimuli

Emotions are synchronizing responses of human brain while executing cognitive tasks. Earlier studies had revealed strong correlation between specific lobes of the brain to different types of emotional valence. In the current study, a comprehensive three-dimensional mapping of human brain for executing emotion specific tasks had been formulated. A hybrid computational machine learning model customized from Custom Weight Allocation Model (CWAM) and defined as Custom Rank Allocation Model (CRAM). This regression-based hybrid computational model computes the allocated tasks to different lobes of the brain during their respective executive stage. Event Related Potentials (ERP) were obtained with significant effect at P1, P2, P3, N170, N2, and N4. These ERPs were configured at Pz, Cz, F3, and T8 regions of the brain with maximal responses; while regions like Cz, C4 and F4 were also found to make effective contributions to elevate the responses of the brain, and thus these regions were configured as augmented source regions of the brain. In another circumstance of frequent -deviant - equal (FDE) presentation of the emotional stimuli, it was observed that the brain channels C3, C4, P3, P4, O1, O2, and Oz were contributing their emotional quotient to the overall response of the brain regions; whereas, the interaction effect was found presentable at O2, Oz, P3, P4, T8 and C3 regions of brain. The proposed computational model had identified the potential neural pathways during the execution of emotional task.

Temporal dynamics of carbon sequestration in coastal North Atlantic fjord system as seen through dissolved organic matter characterisation

Fjord systems in higher latitudes are unique coastal water ecosystems that facilitate the study of dissolved organic matter (DOM) dynamics from surface to deeper waters. The current work was undertaken in the Trondheim fjord characterized by North Atlantic waters, and compared DOM fractions from three depths - surface (3 m), intermediate (225 m) and deep (440 m) in four seasons, from late spring to winter in 2017. The high-resolution mass spectrometry data showed that DOM composition varies significantly in different seasons rather than in different depths in the fjord systems. The bacterial community composition was comparable except at spring surface and summer intermediate depths. Bacterial production was minimal below the euphotic layer, even with sufficient availability of inorganic nutrients. The bacterial production rate in the surface waters was about 7 times and over 50 times higher than that of the aphotic zone in the winter and the summer seasons, respectively. The surface heterotrophic microbial communities might have rapidly consumed the available labile DOM, with the production of more refractory DOM limiting bacterial production in aphotic layers. The greater number of CRAM-like formulas determined in the surface waters compared to other depths supports our hypothesis. The refractory DOM sequestered in the water column may either be exported into sediments attached to particulate matter and marine gels, or may escape into the atmosphere as carbon dioxide/monoxide during the photochemical oxidation pathways, suggesting that it is involved in climate change scenarios.

High expression of CRAM correlates with poor prognosis in patients with cervical carcinoma

AIMS

Atypical chemokine receptors (ACRs) have been reported to scavenge or alter the localization of their chemokine ligands. However, CRAM, a newly identified ACR member, is lack of ligand scavenging properties. The present study was to investigate the clinical significance of CRAM in cervical carcinoma.

METHODS

The expression of CRAM in primary cervical cancer and paired normal tissues from adjacent regions was examined using Real time PCR. Moreover, CRAM protein expression was analyzed in 272 cervical specimens including 50 normal cervical tissues, 40 cases of carcinoma in situ of cervix (CIS), and 182 cases of cervical cancer by immunohistochemistry.

RESULTS

Real time PCR showed that the expression level of CRAM was markedly higher in cervical cancer than that in normal cervical tissues. The expression rate of CRAM in normal cervical tissues, CIS, and cervical cancer increased gradually (p < 0.01). In addition, the expression level of CCL19 was positively associated with that of CRAM (p < 0.05). Moreover, high expression level of CRAM was correlated with lymph node metastasis and histological subtype. In multivariate Cox regression analysis, high expression level of CRAM was a negative indicator for both overall (p = 0.028) and recurrence-free survival (p = 0.010).

CONCLUSION

The present study suggested that CRAM could be a clinical prognostic marker for patients with cervical cancer and might be a potential therapeutic target for cervical cancer. Our data extended previous research on the predictive value of ACRs.