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Abstract Oligodendrocyte precursor cells (OPCs) generate oligodendrocytes, contributing to myelination and myelin repair. OPCs contact axons and respond to neuronal activity, but how the information relayed by the neuronal activity translates into OPC Ca2+ signals, which in turn influence their fate, remains unknown. We generated transgenic mice for concomitant monitoring of OPCs Ca2+ signals and cell fate using 2-photon microscopy in the somatosensory cortex of awake-behaving mice. Ca2+ signals in OPCs mainly occur within processes and confine to Ca2+ microdomains. A subpopulation of OPCs enhances Ca2+ transients while mice engaged in exploratory locomotion. We found that OPCs responsive to locomotion preferentially differentiate into oligodendrocytes, and locomotion-non-responsive OPCs divide. Norepinephrine mediates locomotion-evoked Ca2+ increases in OPCs by activating α1 adrenergic receptors, and chemogenetic activation of OPCs or noradrenergic neurons promotes OPC differentiation. Hence, we uncovered that for fate decisions OPCs integrate Ca2+ signals, and norepinephrine is a potent regulator of OPC fate.

Background Low birth weight (LBW) is important risk factor for childhood morbidity and mortality thus an important public health concern. Aim To identify the maternal determinants associated with LBW of babies Setting M.G.M Medical college & L.S.K Hospital Kishanganj ,Bihar. Design Hospital based cross sectional study Study period January 2014 to March 2014 Methodology Institution based descriptive cross sectional study from February 2014 to April • All postnatal women (190) with singleton apparently healthy babies during the study period were selected for study. Birth weight of babies was recorded, mothers were interviewed and antenatal cards were reviewed. Result 34% of newborns were found to be low birth weight in our study. Statistically significant association was found between Low birth weight of babies and mother’s age, religion, literacy of mother, consumption of IFA tablets and regular ANC checkup during pregnancy. Conclusion The study suggests various maternal factors influence the birth weight of newborn babies and by improving antenatal care services both in coverage and quality we can reduce infant mortality in country.

Summary: In the past few years, restricted wireless sensor networks (WSNs) enabled the Internet of Things (IoT) have attracted significant attention and expansion to enhance service delivery and resource efficiency. Dissemination is a service offered by WSN that uses radio transmission and over‐the‐air programming for updating the deployed sensor nodes through online. The centralized data dissemination methods are replaced by the distributed approaches because they affect the drawbacks of a single point of failure, no scalability, and insecurity. Therefore, an Energy Efficient Protocol for Data Dissemination in Wireless Sensor network‐enabled IoT using Domain‐Adaptive Message Passing Graph Neural Network (EEP‐WSN‐IoT‐DMPGNN) is proposed in this paper. The nodes are formed as clusters utilizing the Deep Fuzzy Curriculum Clustering (DFCC) technique that rewards nodes belonging to a given cluster. By using the Crayfish Optimization Algorithm (COA), the Cluster Head (CH) selection optimally chose the ideal CH and satisfies the multiple objective functions, such as energy, delay, traffic density, and distance. Afterward, domain‐adaptive Message Passing Graph Neural Network (DMPGNN) based routing protocol is developed, the input given to the routing protocol includes a sink, action history, future node, and maximum‐distance node, which attains enhanced data transfer in the chosen path. The proposed technique attains a lower no. of dead nodes, lower energy consumption, and higher Network Lifetime while analyzed with existing techniques, such as routing technique depending on deep learning for effectual data transmission in 5G WSN communication (DL‐RPDT‐WSN), Reinforcement‐Learning base energy effectual optimized routing protocol in WSN (RL‐EERP‐WSN), and Energy‐efficient intellectual routing method for IoT‐enabled WSN (EIR‐IoT‐WSN), respectively. [ABSTRACT FROM AUTHOR]

This study investigates Joule (resistive) heating as a potential method to electrify the heating process in steam‐methane reforming. The significance and relevance of this research are driven by three factors: (1) increasing global demand for hydrogen as feedstock for chemical manufacturing and refining; (2) expanding hydrogen as a carbon‐free energy carrier; and (3) decarbonizing the production sector of the hydrogen value chain. FeCrAl metal wire coils coated uniformly with Ni/ZrO2 catalyst were used in the Joule heating experiments. The resistive power was supplied in the range 50–90 W by varying voltage across the wire. Results show a notable, sharp increase in methane conversion at a power exceeding 60 W (750 °C estimated wire temperature). The results are compared with those for a conventionally‐heated coated wire as well as Joule‐heated uncoated ZrO2‐only wires to elucidate the roles of Ni and ZrO2 and differences in the heating methods. For a range of power the methane conversion obtained with the Joule‐heated Ni/ZrO2‐coated wire is higher than the conventionally‐heated Ni/ZrO2‐coated wire. The results demonstrate that Joule heating of a catalyst‐coated wire is effective for steam‐methane reforming under the experimental conditions examined in our study. Underlying causes for the interesting conversion features are discussed. [ABSTRACT FROM AUTHOR]