Local-time Dependence of Chemical Species in the Venusian Mesosphere

Observed chemical species in the Venusian mesosphere show local-time variabilities. SO2 at the cloud top exhibits two local maxima over local time, H2O at the cloud top is uniformly distributed, and CO in the upper atmosphere shows a statistical difference between the two terminators. In this study, we investigated these local-time variabilities using a three-dimensional (3D) general circulation model (GCM) in combination with a two-dimensional (2D) chemical transport model (CTM). Our simulation results agree with the observed local-time patterns of SO2, H2O, and CO. The two-maximum pattern of SO2 at the cloud top is caused by the superposition of the semidiurnal thermal tide and the retrograde superrotating zonal (RSZ) flow. SO2 above 85 km shows a large day–night difference resulting from both photochemistry and the subsolar-to-antisolar (SS-AS) circulation. The transition from the RSZ flows to SS-AS circulation can explain the CO difference between two terminators and the displacement of the CO local-time maximum with respect to the antisolar point. H2O is long-lived and exhibits very uniform distribution over space. We also present the local-time variations of HCl, ClO, OCS, and SO simulated by our model and compare to the sparse observations of these species. This study highlights the importance of multidimensional CTMs for understanding the interaction between chemistry and dynamics in the Venusian mesosphere.

Algorithmic music generation by harmony recombination with genetic algorithm

Algorithmic music composition has recently become an area of prestigious research in projects such as Google’s Magenta, Aiva, and Sony’s CSL Lab aiming to increase the composers’ tools for creativity. There are advances in systems for music feature extraction and generation of harmonies with short-time and long-time patterns of music style, genre, and motif. However, there are still challenges in the creation of poly-instrumental and polyphonic music, pieces become repetitive and sometimes these systems copy the original files. The main contribution of this paper is related to the improvement of generating new non-plagiary harmonic developments constructed from the symbolic abstraction from MIDI music non-labeled data with controlled selection of rhythmic features based on evolutionary techniques. Particularly, a novel approach for generating new music compositions by replacing existing harmony descriptors in a MIDI file with new harmonic features from another MIDI file selected by a genetic algorithm. This allows combining newly created harmony with a rhythm of another composition guaranteeing the adjustment of a new music piece to a distinctive genre with regularity and consistency. The performance of the proposed approach has been assessed using artificial intelligent computational tests, which assure goodness of the extracted features and shows its quality and competitiveness.

Fracture Patterns in Type 1 and Type 2 Diabetes Mellitus: A Narrative Review of Recent Literature

Purpose of Review In this narrative review, we have summarized the literature on fracture risk in T1DM and T2DM with a special focus on fracture site, time patterns, glucose-lowering drugs, and micro- and macrovascular complications. Recent Findings T1DM and T2DM were associated with an overall increased fracture risk, with preferent locations at the hip, vertebrae, humerus, and ankle in T1DM and at the hip, vertebrae, and likely humerus, distal forearm, and foot in T2DM. Fracture risk was higher with longer diabetes duration and the presence of micro- and macrovascular complications. In T2DM, fracture risk was higher with use of insulin, sulfonylurea, and thiazolidinediones and lower with metformin use. Summary The increased fracture risk in T1DM and T2DM concerns specific fracture sites, and is higher in subjects with longer diabetes duration, vascular complications, and in T2DM with the use of specific glucose-lowering medication.

An Integrative Multi-Omics Analysis Based On Liquid-liquid Phase Separation Delineates Distinct Subtypes of Lower-Grade Glioma and Identifies a Prognostic Signature

Background: Emerging evidences have indicated that the aberrant liquid-liquid phase separation (LLPS) leads to the dysfunction of biomolecular condensates, thereby contributing to the tumorigenesis and progression. Nevertheless, it remains unclear whether or how the LLPS of specific molecules affects the prognosis and tumor immune microenvironment (TIME) of patients with lower-grade glioma (LGG).Methods: We integrated the transcriptome information of 3585 LLPS-related genes to comprehensively evaluate the LLPS patterns of 423 patients with LGG in The Cancer Genome Atlas (TCGA) cohort. Then, we systematically demonstrated the differences among four LLPS subtypes based on multi-omics analyses. In addition, we constructed the LLPS-related prognostic risk score (LPRS) for individualized integrative assessment. Results: Based on the expression profiles of 85 scaffolds, 355 regulators, and 3145 clients in LGG, we identified four LLPS subtypes, namely LS1, LS2, LS3 and LS4. We confirmed that there were significant differences in prognosis, clinicopathological features, cancer hallmarks, genomic alterations, TIME patterns and immunotherapeutic responses among four LLPS subtypes. In addition, a prognostic signature called LPRS was constructed for individualized integrative assessment. LPRS exhibited a robust predictive capacity for prognosis of LGG patients in multiple cohorts. Moreover, LPRS was found to be correlated with clinicopathological features, cancer hallmarks, genomic alterations and TIME patterns of LGG patients. The predictive power of LPRS in response to immune checkpoint inhibitor (ICI) therapy was also prominent.Conclusions: This study provided a novel classification of LGG patients based on LLPS. The constructed LPRS might facilitate individualized prognosis prediction and better immunotherapy options for LGG patients.

Minimal mindreaders let spinning dogs lie: New evidence for the dual-process account of human mindreading

<p>Five experiments investigated evidence for a dual-process account of mindreading (Apperly, 2010). This account is motivated by two puzzles: First, why is it that three-year-olds fail standard false-belief tests when looking patterns infer that infants are sensitive to others’ false beliefs? Secondly, why is adult mindreading sometimes slow and effortful, and at other times fast and effortless? The seemingly contradictory observations may be explained by drawing upon two relatively distinct mindreading abilities: ‘Efficient’ processing supports precocious infant performances in non-verbal tasks and fast-paced social interaction in adults, while the later developing ‘flexible’ processing permits full blown understanding of beliefs and facilitates correct verbal responding in standard false-belief tests. Evidence for this theory can be sought by exploiting the idea that there are ‘signature limits’ to the type of information that can be efficiently processed. One conjecture is that representations underpinning efficient belief-tracking relate agents to objects, leading to the prediction that efficient processing cannot handle false-beliefs involving identity. Experiments 1 and 2 used a novel action-prediction paradigm to determine if adults’ reaction-time patterns differed between two false-belief tasks, one involving a standard change-of-location scenario, and one which also incorporated an identity component. The findings revealed equivalent flexible processing across both tasks. However, there were distinct reaction-time profiles between the tasks such that efficient belief-tracking was only observed in the change-of-location task. The absence of efficient processing in the task incorporating an identity component supports the conjecture that efficient belief-tracking is limited to relational, rather than propositional attitudes. A second conjecture is that representations underpinning efficient belief-tracking either do not specify agents’ locations or do not specify objects’ orientations. This leads to the prediction that efficient belief-tracking alone will not yield expectations about agents’ perspectives. In a novel object-detection paradigm, Experiments 3 to 5 tested the extent to which adults efficiently tracked the belief of a passive bystander in two closely-matched but conceptually distinct tasks. In a task involving homogenous objects, reaction times were involuntarily influenced by the presence of the bystander. By contrast, in a second task in which the object could be differently perceived depending on where the agent was located in relation to that object, the presence of the agent did not influence adults’ response times, supporting the second conjecture.</p>

Minimal mindreaders let spinning dogs lie: New evidence for the dual-process account of human mindreading

<p>Five experiments investigated evidence for a dual-process account of mindreading (Apperly, 2010). This account is motivated by two puzzles: First, why is it that three-year-olds fail standard false-belief tests when looking patterns infer that infants are sensitive to others’ false beliefs? Secondly, why is adult mindreading sometimes slow and effortful, and at other times fast and effortless? The seemingly contradictory observations may be explained by drawing upon two relatively distinct mindreading abilities: ‘Efficient’ processing supports precocious infant performances in non-verbal tasks and fast-paced social interaction in adults, while the later developing ‘flexible’ processing permits full blown understanding of beliefs and facilitates correct verbal responding in standard false-belief tests. Evidence for this theory can be sought by exploiting the idea that there are ‘signature limits’ to the type of information that can be efficiently processed. One conjecture is that representations underpinning efficient belief-tracking relate agents to objects, leading to the prediction that efficient processing cannot handle false-beliefs involving identity. Experiments 1 and 2 used a novel action-prediction paradigm to determine if adults’ reaction-time patterns differed between two false-belief tasks, one involving a standard change-of-location scenario, and one which also incorporated an identity component. The findings revealed equivalent flexible processing across both tasks. However, there were distinct reaction-time profiles between the tasks such that efficient belief-tracking was only observed in the change-of-location task. The absence of efficient processing in the task incorporating an identity component supports the conjecture that efficient belief-tracking is limited to relational, rather than propositional attitudes. A second conjecture is that representations underpinning efficient belief-tracking either do not specify agents’ locations or do not specify objects’ orientations. This leads to the prediction that efficient belief-tracking alone will not yield expectations about agents’ perspectives. In a novel object-detection paradigm, Experiments 3 to 5 tested the extent to which adults efficiently tracked the belief of a passive bystander in two closely-matched but conceptually distinct tasks. In a task involving homogenous objects, reaction times were involuntarily influenced by the presence of the bystander. By contrast, in a second task in which the object could be differently perceived depending on where the agent was located in relation to that object, the presence of the agent did not influence adults’ response times, supporting the second conjecture.</p>

An Integrative Multi-Omics Analysis Based on Liquid-Liquid Phase Separation Delineates Distinct Subtypes of Lower-Grade Glioma and Identifies a Prognostic Signature

Background: Emerging evidences have indicated that the aberrant liquid-liquid phase separation (LLPS) leads to the dysfunction of biomolecular condensates, thereby contributing to the tumorigenesis and progression. Nevertheless, it remains unclear whether or how the LLPS of specific molecules affects the prognosis and tumor immune microenvironment (TIME) of patients with lower-grade glioma (LGG).Methods: We integrated the transcriptome information of 3585 LLPS-related genes to comprehensively evaluate the LLPS patterns of 423 patients with LGG in The Cancer Genome Atlas (TCGA) cohort. Then, we systematically demonstrated the differences among four LLPS subtypes based on multi-omics analyses. In addition, we constructed the LLPS-related prognostic risk score (LPRS) for individualized integrative assessment. Results: Based on the expression profiles of 85 scaffolds, 355 regulators, and 3145 clients in LGG, we identified four LLPS subtypes, namely LS1, LS2, LS3 and LS4. We confirmed that there were significant differences in prognosis, clinicopathological features, cancer hallmarks, genomic alterations, TIME patterns and immunotherapeutic responses among four LLPS subtypes. In addition, a prognostic signature called LPRS was constructed for individualized integrative assessment. LPRS exhibited a robust predictive capacity for prognosis of LGG patients in multiple cohorts. Moreover, LPRS was found to be correlated with clinicopathological features, cancer hallmarks, genomic alterations and TIME patterns of LGG patients. The predictive power of LPRS in response to immune checkpoint inhibitor (ICI) therapy was also prominent.Conclusions: This study provided a novel classification of LGG patients based on LLPS. The constructed LPRS might facilitate individualized prognosis prediction and better immunotherapy options for LGG patients.

The Social Demography of Covid-19 Delta

Publically available information concerning the scanning, testing, vaccination, covid-catching are examined both to describe the over-time patterns but also to indicate possibly causal linkages to underlying social patterns.

An Integrative Multi-omics Analysis based on Liquid-liquid Phase Separation Delineates Distinct Subtypes of Lower-grade Glioma and Identifies a Prognostic Signature

Background: Emerging evidences have indicated that the aberrant liquid-liquid phase separation (LLPS) leads to the dysfunction of biomolecular condensates, thereby contributing to the tumorigenesis and progression. Nevertheless, it remains unclear whether or how the LLPS of specific molecules affects the prognosis and tumor immune microenvironment (TIME) of patients with lower-grade glioma (LGG).Methods: We integrated the transcriptome information of 3585 LLPS-related genes to comprehensively evaluate the LLPS patterns of 423 patients with LGG in The Cancer Genome Atlas (TCGA) cohort. Then, we systematically demonstrated the differences among four LLPS subtypes based on multi-omics analyses. In addition, we constructed the LLPS-related prognostic risk score (LPRS) for individualized integrative assessment. Results: Based on the expression profiles of 85 scaffolds, 355 regulators, and 3145 clients in LGG, we identified four LLPS subtypes, namely LS1, LS2, LS3 and LS4. We confirmed that there were significant differences in prognosis, clinicopathological features, cancer hallmarks, genomic alterations, TIME patterns and immunotherapeutic responses among four LLPS subtypes. In addition, a prognostic signature called LPRS was constructed for individualized integrative assessment. LPRS exhibited a robust predictive capacity for prognosis of LGG patients in multiple cohorts. Moreover, LPRS was found to be correlated with clinicopathological features, cancer hallmarks, genomic alterations and TIME patterns of LGG patients. The predictive power of LPRS in response to immune checkpoint inhibitor (ICI) therapy was also prominent.Conclusions: This study provided a novel classification of LGG patients based on LLPS. The constructed LPRS might facilitate individualized prognosis prediction and better immunotherapy options for LGG patients.