Progress of Theoretical Physics最新文献

Objective: The goal of this to demonstrate the impact of heavy and chronic cannabis use on brain potential functional control, reorganization, and plasticity in the cortical area.

Methods: 23 cannabis users were convened in 3 groups of users. The first group included 11 volunteers with an average of 15 joins/day; the second group included 6 volunteers with an average of 1.5 joins/day; the third group included 6 volunteers with an average of 2.8 joins/week. Besides, 6 healthy volunteers in the control group, All healthy and cannabis users underwent identical brain BOLD-fMRI assessments of their motor function. Besides, neuropsychological and full biological assessments were achieved.

Results: BOLD-fMRI maps of motor areas were obtained, including quantitative evaluation of the activations in the motor area. A statistical analysis of various groups was achieved.

Conclusion: Groups of chronic cannabis addiction of varying level of use were setup. Namely heavy, moderate and low users groups; doses have been shown to have systematically equivalent effects on the control of brain motor function. Indeed, the BOLD-fMRI shows a remarkable sensitivity to brain plasticity and reorganization of the functional motor control of the studied cortical area, and such variation was not shown. Specific elucidation of the effect of cannabis effect in this unique function should clarify further protective pharmacological effects. This might illuminate the use of neuronal resources to prepare processes for pharmacological use and pharmaceutical forms. This suggests exploring any potential cannabis pharmaceutical form in diseases involving motor impairments.

Single-cell CRISPR screens (perturb-seq) link genetic perturbations to phenotypic changes in individual cells. The most fundamental task in perturb-seq analysis is to test for association between a perturbation and a count outcome, such as gene expression. We conduct the first-ever comprehensive benchmarking study of association testing methods for low multiplicity-of-infection (MOI) perturb-seq data, finding that existing methods produce excess false positives. We conduct an extensive empirical investigation of the data, identifying three core analysis challenges: sparsity, confounding, and model misspecification. Finally, we develop an association testing method - SCEPTRE low-MOI - that resolves these analysis challenges and demonstrates improved calibration and power.

The aim of the study was to investigate the relations between anatomical structures that are susceptible to inadvertent injuries during the surgery using preoperative computed tomography (CT) scans. 153 CT scans were reviewed and the distance from the lamina papyracea (LP) to the midline and the distance of the anterior ethmoidal artery (AEA) to the skull base were measured bilaterally. Also, the depth of olfactory fossa was measured and categorized using the Keros classification. The measurements were analyzed to determine whether LP-to-midline distance was correlated with the distance between the AEA and the skull base and Keros classification. Additionally, correlation of Keros classification with the distance from the AEA to the skull base was investigated. In a total of 306 measurements, 26 (%8.49) were classified as Keros type I, 200 (65.35%) as Keros type II and 80 (25.14%) as Keros type III. Statistically, LP-to-midline distances on the right and left sides were significantly associated with the distance from the AEA to the skull base on the same side (R:p < 0.001, L:p = 0.01) and the Keros classification on the same side (R:p < 0.001, L:p = 0.004). Also, a significant association was found between the Keros classification and the distance from the AEA to the skull base (R:p < 0.001, L:p = 0.02). The locations of anatomical structures are defined in relation to each other during the development of maxillofacial bones. CT scans should be examined and anatomical structures and relations among them reviewed very carefully before ESS. Otherwise, some accidental injuries may arise during the surgery while trying to avoid complications.

Supplementary information: The online version contains supplementary material available at 10.1007/s12070-023-03931-x.

Chemical coagulants like alum, ferric salts, and polyacrylamide derivatives are helpful in water treatment. However, the long-term detrimental effects of chemical coagulants on humans and the environment require alternative research for natural coagulants. This study used novel leguminous (green beans (GB), pigeon pea (PP)), fruit seeds (Tamarind indica (TI), and date palm (DS)) as coagulants to remove turbidity. The seeds were powdered, and the crude active coagulants were extracted with distilled water and a 1 M NaCl solution. The result showed that PP's distilled water extract had the highest turbidity removal of 81.12%, while DS had the least performance of 62.54%. The NaCl extract of PP had the highest removal (94.62%), followed by TI (76.08%). This study found the optimum doses for GB, TI, PP, and DS to be 50, 40, 10, and 70 mL/L, with their optimum pH at 3, 1, 3, and 1, respectively. The FTIR spectra confirmed the existence of -OH, -NH, COOH, C = O, C-C, and C-H peaks, indicating the presence of protein-specific functional groups supporting their potential use as coagulants. Therefore, PP would have been used based on turbidity performance; however, due to their nutritional value, TI and DS are suitable seeds for the coagulation-flocculation treatment of turbid water because they are waste materials.

More than 600 species of conifers (phylum Pinophyta) serve as the backbone of the Earth's terrestrial plant community and play key roles in global carbon and water cycles. Although coniferous forests account for a large fraction of global wood production, their productivity relies largely on the use of genetically improved seeds. However, acquisition of such seeds requires recurrent selection and testing of genetically superior parent trees, eventually followed by the establishment of a seed orchard to produce the improved seeds. The breeding cycle for obtaining the next generation of genetically improved seeds can be significantly lengthened when a target species has a long juvenile period. Therefore, development of methods for diminishing the juvenile phase is a cost-effective strategy for shortening breeding cycle in conifers. The molecular regulatory programs associated with the reproductive transition and annual reproductive cycle of conifers are modulated by environmental cues and endogenous developmental signals. Mounting evidence indicates that an increase in global average temperature seriously threatens plant productivity, but how conifers respond to the ever-changing natural environment has yet to be fully characterized. With the breakthrough of assembling and annotating the giant genome of conifers, identification of key components in the regulatory cascades that control the vegetative to reproductive transition is imminent. However, comparison of the signaling pathways that control the reproductive transition in conifers and the floral transition in Arabidopsis has revealed many differences. Therefore, a more complete understanding of the underlying regulatory mechanisms that control the conifer reproductive transition is of paramount importance. Here, we review our current understanding of the molecular basis for reproductive regulation, highlight recent discoveries, and review new approaches for molecular research on conifers.