3,279 research outputs found

    CRIMES AND OFFENSES Controlled Substances: Provide Penalty for Trafficking in Methamphetamine, Increase Criminal Penalty for Drug Related Offenses Which Occur in Designated Areas, Criminalize the Use of Minors for any Drug Related Activity, Reimburse Political Candidates for the Cost of Required Drug Tests

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    These acts expand Georgia\u27s drug legislation. SB 593 criminalizes the use of a minor for any drug related activity. HB 1779 criminalizes the possession, distribution, or manufacturing of controlled substances within 1000 feet of certain designated areas, such as playgrounds and housing projects. SB 834 provides a penalty for trafficking in methamphetamine. HB 601 amends Code section 21-2-140 to provide reimbursement to candidates for state office for the cost of required drug tests

    CRIMES AND OFFENSES Controlled Substances: Provide Penalty for Trafficking in Methamphetamine, Increase Criminal Penalty for Drug Related Offenses Which Occur in Designated Areas, Criminalize the Use of Minors for any Drug Related Activity, Reimburse Political Candidates for the Cost of Required Drug Tests

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    These acts expand Georgia\u27s drug legislation. SB 593 criminalizes the use of a minor for any drug related activity. HB 1779 criminalizes the possession, distribution, or manufacturing of controlled substances within 1000 feet of certain designated areas, such as playgrounds and housing projects. SB 834 provides a penalty for trafficking in methamphetamine. HB 601 amends Code section 21-2-140 to provide reimbursement to candidates for state office for the cost of required drug tests

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    Abnormal connectivity between the default mode and the visual system underlies the manifestation of visual hallucinations in Parkinson’s disease:A task-based fMRI study

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    Background: The neural substrates of visual hallucinations remain an enigma, due primarily to the difficulties associated with directly interrogating the brain during hallucinatory episodes. Aims: To delineate the functional patterns of brain network activity and connectivity underlying visual hallucinations in Parkinson’s disease. Methods: In this study, we combined functional magnetic resonance imaging (MRI) with a behavioral task capable of eliciting visual misperceptions, a confirmed surrogate for visual hallucinations, in 35 patients with idiopathic Parkinson’s disease. We then applied an independent component analysis to extract time series information for large-scale neuronal networks that have been previously implicated in the pathophysiology of visual hallucinations. These data were subjected to a task-based functional connectivity analysis, thus providing the first objective description of the neural activity and connectivity during visual hallucinations in patients with Parkinson’s disease. Results: Correct performance of the task was associated with increased activity in primary visual regions; however, during visual misperceptions, this same visual network became actively coupled with the default mode network (DMN). Further, the frequency of misperception errors on the task was positively correlated with the strength of connectivity between these two systems, as well as with decreased activity in the dorsal attention network (DAN), and with impaired connectivity between the DAN and the DMNs, and ventral attention networks. Finally, each of the network abnormalities identified in our analysis were significantly correlated with two independent clinical measures of hallucination severity. Conclusions: Together, these results provide evidence that visual hallucinations are due to increased engagement of the DMN with the primary visual system, and emphasize the role of dysfunctional engagement of attentional networks in the pathophysiology of hallucinations

    The feasibility of artificial consciousness through the lens of neuroscience

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    Interactions with large language models have led to the suggestion that these models may be conscious. From the perspective of neuroscience, this position is difficult to defend. For one, the architecture of large language models is missing key features of the thalamocortical system that have been linked to conscious awareness in mammals. Secondly, the inputs to large language models lack the embodied, embedded information content characteristic of our sensory contact with the world around us. Finally, while the previous two arguments can be overcome in future AI systems, the third one might be harder to bridge in the near future. Namely, we argue that consciousness might depend on having 'skin in the game', in that the existence of the system depends on its actions, which is not true for present-day artificial intelligence

    Mineralogy and Geochemistry of the Asanje Iron Ore Deposit within the Mayamaya-Hombolo Belt, Dodoma Region, Central Tanzania

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    This paper presents the mineralogy and chemical composition including iron ore impurities to ascertain its suitability for industrial applications. The Asanje iron ore deposit is hosted in Precambrian volcano-sedimentary rocks in the Mayamaya-Hombolo Belt in Dodoma region, within the Lake Nyanza Superterrane. Iron ores are found in two parallel ridges trending NW-SE. Ridge I occurs as vein and banded hematite-type ore and Ridge II as massive-type ore. A total of 24 ore samples were analysed for major and trace elements by XRF and petrographic studies by optical microscopy and XRD. The XRD results revealed that hematite and goethite are the main components and quartz is the gangue mineral in the iron ores. The XRF data shows the Fe2O3t content ranges from 20.8 to 87.3 wt% with an average of 52.7 wt%. The average concentrations in wt% of impurities such as SiO2, Al2O3, P2O5 and S are 37.9, 0.9, 1.2, and 0.2, respectively. By comparison, Ridge II has greater iron content (30.5–87.3 = Avg. 64.66 wt% Fe2O3t) than Ridge I (20.8–78.22 = Avg. 48.68 wt% Fe2O3t). Based on the chemical composition, the quality of iron ore is categorised as low to medium grade, and can be used in metallurgical and cement industries. Keywords:    Mineralogy, Geochemistry, Asanje Iron ore deposit, Mayamaya-Hombolo Belt, Tanzani
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