Selective CO₂ capture in metal-organic frameworks with azine-functionalized pores generated by mechanosynthesis

Two new three-dimensional porous Zn(II)-based metal-organic frameworks, containing azine-functionalized pores, have been readily and quickly isolated via mechanosynthesis, by using a nonlinear dicarboxylate and linear N-donor ligands. The use of nonfunctionalized and methyl-functionalized N-donor ligands has led to the formation of frameworks with different topologies and metal-ligand connectivities and therefore different pore sizes and accessible volumes. Despite this, both metal-organic frameworks (MOFs) possess comparable BET surface areas and CO₂ uptakes at 273 and 298 K at 1 bar. The network with narrow and interconnected pores in three dimensions shows greater affinity for CO compared to the network with one-dimensional and relatively large pores-attributable to the more effective interactions with the azine groups

Imidazol-1-ylethylindazole Voltage-Gated Sodium Channel Ligands Are Neuroprotective during Optic Neuritis in a Mouse Model of Multiple Sclerosis

[Image: see text] A series of imidazol-1-ylethylindazole sodium channel ligands were developed and optimized for sodium channel inhibition and in vitro neuroprotective activity. The molecules exhibited displacement of a radiolabeled sodium channel ligand and selectivity for blockade of the inactivated state of cloned neuronal Na(v) channels. Metabolically stable analogue 6 was able to protect retinal ganglion cells during optic neuritis in a mouse model of multiple sclerosis

The eukaryotic CO2-concentrating organelle is liquid-like and exhibits dynamic reorganization

Approximately 30%–40% of global CO 2 fixation occurs inside a non-membrane-bound organelle called the pyrenoid, which is found within the chloroplasts of most eukaryotic algae. The pyrenoid matrix is densely packed with the CO 2-fixing enzyme Rubisco and is thought to be a crystalline or amorphous solid. Here, we show that the pyrenoid matrix of the unicellular alga Chlamydomonas reinhardtii is not crystalline but behaves as a liquid that dissolves and condenses during cell division. Furthermore, we show that new pyrenoids are formed both by fission and de novo assembly. Our modeling predicts the existence of a “magic number” effect associated with special, highly stable heterocomplexes that influences phase separation in liquid-like organelles. This view of the pyrenoid matrix as a phase-separated compartment provides a paradigm for understanding its structure, biogenesis, and regulation. More broadly, our findings expand our understanding of the principles that govern the architecture and inheritance of liquid-like organelles

The effect of exercise therapy on cognitive functions in multiple sclerosis patients: A pilot study

BACKGROUND: The positive impacts of exercise therapy on patients' cognitive problems still remain unknown. This study was a pilot intervention to examine the effects of combined exercise on the cognitive problems of patients with multiple sclerosis (MS) in Iranian MS Society over 2012 to 2013. METHODS: This quasi-experimental research was carried out in the form of a pretest/posttest study. Forty two patients with MS were selected from those visiting the rehabilitation center of Iranian MS Society, using non-probability convenience sampling. The Expanded Disability Status Scale (EDSS) of each patient was recorded before the intervention and Brief Repeatable Battery of Neuropsychological (BRB-N) test was administered before and after the intervention. The data were analyzed using the analytical tests such as Wilcoxon test. RESULTS: Of 21 participants, 17 subjects (82%, n=14) female with mean (±SD) age of 37 (±9.98) years and mean (±SD) EDSS of 2.35 (±0.90) completed all stages of the study. Changes in long-term storage and permanent long-term retrieval of information after the intervention were statistically significant (p<0.001). In addition, the change in the average of total delay after the intervention was also significant by 1.11 (p<0.001). CONCLUSION: Our study confirmed the possibility of change in the cognitive abilities of MS patients through physical interventions. This finding emphasizes the necessity of more clinical examinations and increases the hopes for new rehabilitation methods for the disorder

Liver Kupffer cells control the magnitude of the inflammatory response in the injured brain and spinal cord.

The CNS inflammatory response is regulated by hepatic chemokine synthesis, which promotes leukocytosis and facilitates leukocyte recruitment to the site of injury. To understand the role of the individual cell populations in the liver during the hepatic response to acute brain injury, we selectively depleted Kupffer cells (KC), using clodronate-filled liposomes, and assessed the inflammatory response following a microinjection of IL-1beta into the rat brain or after a compression injury in the spinal cord. We show by immunohistochemistry that KC depletion reduces neutrophil infiltration into the IL-1beta-injected brain by 70% and by 50% into the contusion-injured spinal cord. qRT-PCR analysis of hepatic chemokine mRNA expression showed that chemokine expression in the liver after brain injury is not restricted to a single cell population. In non-depleted rats, CXCL-10, IL-1beta, CCL-2, and MIP-1alpha mRNAs were increased up to sixfold more than in KC depleted rats. However, CXCL-1 and MIP-1beta were not significantly affected by KC depletion. The reduction in chemokine mRNA expression by the liver was not associated with decreased neutrophil mobilisation as might have been expected. These findings suggest that in response to CNS injury, KC mediated mechanisms are responsible for increasing neutrophil entry to the site of CNS injury, but that neutrophil mobilisation is dependent on other non-KC mediated events. However, the suppression of KC activity may prevent secondary damage after acute brain injury

Electric device recognition and recommendation in real-time based on complex event processing for smart homes

In the past 10 years, the question of the care and well-being of the elderly became a priority for modern societies. The number of people over the age of 65 is increasing, while at the same time, resources such as caregivers and funds remain stable. It is in this context that several researchers proposed solutions based on Ambient Intelligence in order to provide targeted assistance according to the needs of the elderly. In this paper, we show to it is possible to recognize electrical appliances in use, based on readings from a unique sensor installed at the main electrical panel of a home. Moreover, when the system observes an unknown appliance being turned on, it can recommend a possible appliance based on the characteristics of its power consumption. An experimental evaluation of the system on real appliances shows a recognition and recommendation rate close to 100%