A Novel Adaptive Cluster Based Routing Protocol for Energy-Harvesting Wireless Sensor Networks.

With the various applications of the Internet of Things, research into wireless sensor networks (WSNs) has become increasingly important. However, because of their limited energy, the communication abilities of the wireless nodes distributed in the WSN are limited. The main task of WSNs is to collect more data from targets in an energy-efficient way, because the battery replacement of large amounts of nodes is a labor-consuming work. Although the life of WSNs can be prolonged through energy-harvesting (EH) technology, it is necessary to design an energy-efficient routing protocol for the energy harvesting-based wireless sensor networks (EH-WSNs) as the nodes would be unavailable in the energy harvesting phase. A certain number of unavailable nodes would cause a coverage hole, thereby affecting the WSN's monitoring function of the target environment. In this paper, an adaptive hierarchical-clustering-based routing protocol for EH-WSNs (HCEH-UC) is proposed to achieve uninterrupted coverage of the target region through the distributed adjustment of the data transmission. Firstly, a hierarchical-clustering-based routing protocol is proposed to balance the energy consumption of nodes. Then, a distributed alternation of working modes is proposed to adaptively control the number of nodes in the energy-harvesting mode, which could lead to uninterrupted target coverage. The simulation experimental results verify that the proposed HCEH-UC protocol can prolong the maximal lifetime coverage of WSNs compared with the conventional routing protocol and achieve uninterrupted target coverage using energy-harvesting technology.

An Automatic Sleep Stage Classification Algorithm Using Improved Model Based Essence Features.

The automatic sleep stage classification technique can facilitate the diagnosis of sleep disorders and release the medical expert from labor-consumption work. In this paper, novel improved model based essence features (IMBEFs) were proposed combining locality energy (LE) and dual state space models (DSSMs) for automatic sleep stage detection on single-channel electroencephalograph (EEG) signals. Firstly, each EEG epoch is decomposed into low-level sub-bands (LSBs) and high-level sub-bands (HSBs) by wavelet packet decomposition (WPD), separately. Then, the DSSMs are estimated by the LSBs and the LE calculation is carried out on HSBs. Thirdly, the IMBEFs extracted from the DSSM and LE are fed into the appropriate classifier for sleep stage classification. The performance of the proposed method was evaluated on three public sleep databases. The experimental results show that under the Rechtschaffen's and Kale's (R&K) standard, the sleep stage classification accuracies of six classes on the Sleep EDF database and the Dreams Subjects database are 92.04% and 78.92%, respectively. Under the American Academy of Sleep Medicine (AASM) standard, the classification accuracies of five classes in the Dreams Subjects database and the ISRUC database reached 79.90% and 81.65%. The proposed method can be used for reliable sleep stage classification with high accuracy compared with state-of-the-art methods.

Congenital diaphragmatic hernia, kidney agenesis and cardiac defects associated with Slit3-deficiency in mice.

Slit3 along with Slit1 and Slit2 comprise the Slit family of proteins. The latter two proteins are known to be involved in axon guidance and cell migration during animal development. However, little is know about the functions of Slit3. We created a Slit3-deficient mouse model from an OmniBank ES cell line with a Slit3 allele trapped by insertional mutagenesis to analyze the in vivo functions of this protein. In this model, congenital diaphragmatic hernia is the most obvious phenotype. Herniation was found to be caused by a defective central tendon (CT) of the diaphragm that remained fused with the liver. Electron microscopic analyses of the defective CT revealed disorganized collagen fibrils that failed to form tight collagen bundles. The hearts of Slit3-deficient mice have an enlarged right ventricle. In addition, 20% of homozygous mice also showed a range of kidney defects that include unilateral or bilateral agenesis of the kidney and ureter, or varying degrees of renal hypoplasia. Thus, we concluded that Slit3 is involved in the development of multiple organ systems that include the diaphragm and the kidney. Slit3-deficient mice represent a genetic animal model for physiological and pathological studies of congenital diaphragmatic hernia.

Removal of polysialic acid from the SCN potentiates nonphotic circadian phase resetting.

The adult suprachiasmatic nucleus (SCN) expresses a polysialylated form of neural cell adhesion molecule (PSA-NCAM) that modulates cell interactions. Previous studies have shown that PSA is important for photic entrainment of the SCN circadian clock, suggesting that changes in cell-cell interactions may contribute to the phase-resetting capacity of this system. A possible role for PSA in nonphotic circadian phase resetting was evaluated using the enzyme endoneuraminidase (endo N) to selectively remove PSA from the SCN. Pretreatment of rat brain slices containing the SCN with endo N enhanced the daytime phase-advancing effects of the serotonin agonist, 8-hydroxy-2-dipropylaminotetralin [8-OH-DPAT] (41% greater than inactivated enzyme controls; P<.05). Similarly, removal of PSA from the Syrian hamster SCN in vivo potentiated the daytime phase-advancing effects of behavioral arousal (sleep deprivation) and of systemic application of 8-OH-DPAT (61% and 220% greater, respectively, than inactivated enzyme controls; both P<.05). While endo N perturbation of both photic and nonphotic phase resetting suggests that PSA plays a central role in clock regulation, it is striking that the effects on the two inputs are opposite in direction. This difference could reflect the antagonistic relationship between photic and nonphotic signaling pathways. It could also be explained by a permissive role of PSA common to both inputs, which in and of itself would not specify direction of response. Such a bidirectional control mechanism, based on PSA's attenuation of cell-cell interactions, is well documented in the developing nervous system, and may be retained in plastic regions of the adult brain.