bluuebunny/crossref_metadata_2025 huggingface dataset:
Giant mass-transport deposits in the southern Scotia Sea (Antarctica)
Authors: Somoza Luis , Medialdea Teresa , González Francisco J.
Published: March 2018

On the basis of 2D multichannel and very-high-resolution seismic data and swath bathymetry, we report a sequence of giant mass-transport deposits (MTDs) in the Scan Basin (southern Scotia Sea, Antarctica). MTDs with a maximum thickness of
c.
300 m extend up to 50 km from the Discovery and Bruce banks towards the Scan Basin. The headwall area consists of multiple U-shaped scars intercalated between volcanic edifices, up to 250 m high and 7 km wide, extending
c.
14 km downslope from 1750 to 2900 m water depth. Seismic sections show that these giant MTDs are triggered by the intersection between diagenetic fronts related to silica transformation and vertical fluid-flow pipes linked to magmatic sills emplaced within the sedimentary sequence of the Scan Basin. This work supports that the diagenetic alteration of siliceous sediments is a possible cause of slope instability along world continental margins where bottom-simulating reflectors related to silica diagenesis are present at a regional scale.
Quantitative characterization of subaqueous landslides in Lake Zurich (Switzerland) based on a high-resolution bathymetric dataset
Authors: Strupler M. , Anselmetti F. S. , Hilbe M. , Strasser M.
Published: March 2018

New high-resolution surveying techniques allow subaqueous geomorphology to be investigated in great detail. Such analyses are important as the morphologies are often indicative of past processes, including mass movements. For peri-alpine Lake Zurich, many mass-wasting events have occurred in the past millennia. While the ages of these events are known from past studies on the respective deposits in the lake basin, the surface expressions and distribution of the respective features on the slopes have not been extensively described. Here we quantitatively characterize the morphologic features on the entire lake floor. A total of 50 subaqueous landslides are morphologically identified in a high-resolution digital bathymetric model (DBM), mapped and characterized using a geographic information system (GIS). Many slides show relatively small erosion areas (<0.05 km
2
) and are located in shallow water (<10 m water depth). The roughness of the individual landslide-translation areas is quantified using the standard deviation of a measure called bathymetric position index (BPI) and related to the slides ages. The DBM allows the detection of traces of mass-movements dating back to
c.
5000 cal years BP. Our results demonstrate that morphometric analyses on a high-resolution DBM can contribute to a better understanding of sublacustrine mass movements.
Combining
in situ
monitoring using seabed instruments and numerical modelling to assess the transient stability of underwater slopes
Authors: Urlaub Morelia , Villinger Heinrich
Published: March 2018

The stability of submarine slopes is often characterized using campaign-based geophysical and geotechnical measurements in combination with numerical modelling. However, such one-off measurements do not reflect transient changes in slope stability.
In situ
monitoring of physical parameters critical for slope stability over periods of months to years can provide crucial information on slope stability and can also be used in an early-warning system for submarine landslides and the possibly resulting tsunamis. We review existing techniques that are capable of monitoring seafloor deformation over long periods of time. Based on numerical models we can identify the magnitude of parameters related to landslide-induced seafloor deformation. Simulations of three different failure scenarios up to the point of failure show that the development of the stress state of a slope and hence stability over time can be captured by measurements of tilt, pressure and strain at the seafloor. We also find that different failure mechanisms induce different deformation signals at the seafloor, in particular tilt. Hence, with a site- and target-specific survey design (or a large pool of instruments), seafloor deformation measurements in combination with numerical modelling can be used to determine the temporal evolution of slope stability as well as to identify underlying failure mechanisms.
Tsunami modelling of the 7250 cal years BP Betsiamites submarine landslide
Authors: Turmel Dominique , Locat Jacques , Leblanc Jonathan , Cauchon-Voyer Geneviève
Published: March 2018

On the north shore of the St Lawrence Estuary (Québec, Canada), near the Betsiamites river delta, a large sub-aerial submarine landslide complex was mapped using multi-beam bathymetry and light detection and ranging (LiDAR) data. Previous analysis of this landslide complex revealed that, since 7250 cal years BP, at least four different landsliding events occurred to form the present morphology, in which over 2 km
3
of material have been mobilized. The 7.25 cal ka BP landslide is of particular interest here: this landslide is entirely submarine and mobilized about 1.3 km
3
of material, deposited over an area of 54 km
2
, which make this landslide the largest identified on the St Lawrence estuary seafloor. This landslide showed a runout distance of about 15 km. Landslide-generated tsunamis may be triggered by such a landslide, where a large volume of material is mobilized in a short time. Kinematic analysis of this landslide was previously performed, and here we use these analyses in order to perform tsunami wave generation and propagation modelling. It is shown in this analysis that, even if the mobilized volume is very high and there is a long runout, the tsunami generated is small with tsunami wave amplitudes of <1.5 m, except in the vicinity of the landslide. The highest tide elevation in this part of the St Lawrence Estuary is about 5.5 m, so the impact of such a tsunami wave may be limited.
Texture and Geometry Scattering Representation-Based Facial Expression Recognition in 2D+3D Videos
Authors: Yao Yongqiang , Huang Di , Yang Xudong , Wang Yunhong , Chen Liming
Published: March 2018

Facial Expression Recognition (FER) is one of the most important topics in the domain of computer vision and pattern recognition, and it has attracted increasing attention for its scientific challenges and application potentials. In this article, we propose a novel and effective approach to FER using multi-model two-dimensional (2D) and 3D videos, which encodes both static and dynamic clues by scattering convolution network. First, a shape-based detection method is introduced to locate the start and the end of an expression in videos; segment its onset, apex, and offset states; and sample the important frames for emotion analysis. Second, the frames in Apex of 2D videos are represented by scattering, conveying static texture details. Those of 3D videos are processed in a similar way, but to highlight static shape details, several geometric maps in terms of multiple order differential quantities, i.e., Normal Maps and Shape Index Maps, are generated as the input of scattering, instead of original smooth facial surfaces. Third, the average of neighboring samples centred at each key texture frame or shape map in Onset is computed, and the scattering features extracted from all the average samples of 2D and 3D videos are then concatenated to capture dynamic texture and shape cues, respectively. Finally, Multiple Kernel Learning is adopted to combine the features in the 2D and 3D modalities and compute similarities to predict the expression label. Thanks to the scattering descriptor, the proposed approach not only encodes distinct local texture and shape variations of different expressions as by several milestone operators, such as SIFT, HOG, and so on, but also captures subtle information hidden in high frequencies in both channels, which is quite crucial to better distinguish expressions that are easily confused. The validation is conducted on the BU-4DFE and BP-4D databa ses, and the accuracies reached are very competitive, indicating its competency for this issue.
Acting Together
Authors: Jiang Yuanyuan , O'neal Elizabeth E. , Yon Junghum Paul , Franzen Luke , Rahimian Pooya , Plumert Jodie M. , Kearney Joseph K.
Published: March 2018

We investigated how two people jointly coordinate their decisions and actions in a co-occupied, large-screen virtual environment. The task for participants was to physically cross a virtual road with continuous traffic without getting hit by a car. Participants performed this task either alone or with another person (see Figure 1). Two separate streams of non-stereo images were generated based on the dynamic locations of the two viewers’ eye-points. Stereo shutter glasses were programmed to display a single image stream to each viewer so that they saw perspectively correct non-stereo images for their eyepoint. We found that participant pairs often crossed the same gap together and closely synchronized their movements when crossing. Pairs also chose larger gaps than individuals, presumably to accommodate the extra time needed to cross through gaps together. These results demonstrate how two people interact and coordinate their behaviors in performing whole-body, joint motions in a co-occupied virtual environment. This study also provides a foundation for future studies examining joint actions in shared VEs where participants are represented by graphic avatars.
Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition
Authors: Zhang Feifei , Mao Qirong , Shen Xiangjun , Zhan Yongzhao , Dong Ming
Published: March 2018

Feature learning has enjoyed much attention and achieved good performance in recent studies of image processing. Unlike the required training conditions often assumed there, far less labeled data is available for training emotion classification systems. In addition, current feature learning is typically performed on an entire face image without considering the dependency between features. These approaches ignore the fact that faces are structured and the neighboring features are dependent. Thus, the learned features lack the power to describe visually coherent facial images. Our method is therefore designed with the goal of simplifying the problem domain by removing expression-irrelevant factors from the input images, with a key region-based mechanism, which is an effort to reduce the amount of data required to effectively train the feature-learning methods. Meanwhile, we can construct geometric constraints between the key regions and its detected positions. To this end, we introduce a Spatially Coherent featurelearning method for Pose-invariant Facial Expression Recognition (SC-PFER). In our model, we first perform face frontalization through a 3D pose-normalization technique, which could normalize poses while preserving the identity information through synthesizing frontal faces for facial images with arbitrary views. Subsequently, we select a sequence of key regions around 51 key points in the synthetic frontal face images for efficient unsupervised feature learning. Finally, we introduce a linkage structure over the learning-based features and the corresponding geometry information of each key region to encode the dependencies of the regions. Our method, on the whole, does not require training multiple models for each specific pose and avoids separating training and parameter tuning for each pose. The proposed framework has been evaluated on two benchmark databases, BU-3DFE and SFEW, for pose-invariant Facial Expression Recognition (FER). The experimental results demonstrate that our algorithm outperforms current state-of-the-art FER methods. Specifically, our model achieves an improvement of 1.72% and 1.11% FER accuracy, on average, on BU-3DFE and SFEW, respectively.
Representation, Analysis, and Recognition of 3D Humans
Authors: Berretti Stefano , Daoudi Mohamed , Turaga Pavan , Basu Anup
Published: March 2018

Computer Vision and Multimedia solutions are now offering an increasing number of applications ready for use by end users in everyday life. Many of these applications are centered for detection, representation, and analysis of face and body. Methods based on 2D images and videos are the most widespread, but there is a recent trend that successfully extends the study to 3D human data as acquired by a new generation of 3D acquisition devices. Based on these premises, in this survey, we provide an overview on the newly designed techniques that exploit 3D human data and also prospect the most promising current and future research directions. In particular, we first propose a taxonomy of the representation methods, distinguishing between spatial and temporal modeling of the data. Then, we focus on the analysis and recognition of 3D humans from 3D static and dynamic data, considering many applications for body and face.
Review of State-Space Models for Fisheries Science
Authors: Aeberhard William H. , Mills Flemming Joanna , Nielsen Anders
Published: March 2018

Fisheries science is concerned with the management and understanding of the raising and harvesting of fish. Fish stocks are assessed using biological and fisheries data with the goal of estimating either their total population or biomass. Stock assessment models also make it possible to predict how stocks will respond to varying levels of fishing pressure in the future. Such tools are essential with overfishing now reducing stocks and employment worldwide, with in turn many serious social, economic, and environmental implications. Increasingly, a state-space framework is being used in place of deterministic and standard parametric stock assessment models. These efforts have not only had considerable impact on fisheries management but have also advanced the supporting statistical theory and inference tools as well as the required software. An application of such techniques to the North Sea cod stock highlights what should be considered best practices for science-based fisheries management.
Methods for Inference from Respondent-Driven Sampling Data
Authors: Gile Krista J. , Beaudry Isabelle S. , Handcock Mark S. , Ott Miles Q.
Published: March 2018

Respondent-driven sampling is a commonly used method for sampling from hard-to-reach human populations connected by an underlying social network of relations. Beginning with a convenience sample, participants pass coupons to invite their contacts to join the sample. Although the method is often effective at attaining large and varied samples, its reliance on convenience samples, social network contacts, and participant decisions makes it subject to a large number of statistical concerns. This article reviews inferential methods available for data collected by respondent-driven sampling.
Telomeric noncoding RNA promotes mouse embryonic stem cell self-renewal through inhibition of TCF3 activity
Authors: Xu Xiaojuan , Guo Mengmeng , Zhang Na , Ye Shoudong
Published: March 2018

Although long noncoding RNAs (lncRNAs) are emerging as new modulators in the fate decision of pluripotent stem cells, the functions of specific lncRNAs remain unclear. Here, we found that telomeric RNA (TERRA or TelRNA), one type of lncRNAs, is highly expressed in mouse embryonic stem cells (mESCs) but declines significantly upon differentiation. TERRA is induced by the Wnt/β-catenin signaling pathway and can reproduce its self-renewal-promoting effect when overexpressed. Further studies revealed that T cell factor 3 ( TCF3) is a potential downstream target of TERRA and mediates the effect of TERRA in mESC maintenance. TERRA inhibits TCF3 transcription, while enforced TCF3 expression abrogates the undifferentiated state of mESCs supported by TERRA. Accordingly, the transcripts of the pluripotency genes Esrrb, Tfcp2l1, and Klf2, repressed by TCF3 in mESCs, are increased in TERRA-overexpressing cells. Our study therefore highlights the important role of TERRA in mESC maintenance and also uncovers a mechanism by which TERRA promotes self-renewal. These data will expand our understanding of the pluripotent regulatory network of ESCs.
Sex differences in mitochondrial respiratory function in human skeletal muscle
Authors: Miotto Paula M. , McGlory Chris , Holloway Tanya M. , Phillips Stuart M. , Holloway Graham P.
Published: March 2018

Mitochondrial bioenergetic contributions to sex differences in human skeletal muscle metabolism remain poorly defined. The primary aim of this study was to determine whether mitochondrial respiratory kinetics differed between healthy young men and women in permeabilized skeletal muscle fibers. While men and women displayed similar ( P > 0.05) maximal respiration rates and abundance of mitochondrial/adenosine diphosphate (ADP) transport proteins, women had lower ( P < 0.05) mitochondrial ADP sensitivity (+30% apparent Km) and absolute respiration rates at a physiologically relevant ADP concentration (100 μM). Moreover, although men and women exhibited similar carnitine palmitoyl transferase-I protein content- and palmitoyl-CoA-supported respiration, women displayed greater sensitivity to malonyl-CoA-mediated respiratory inhibition. These data establish baseline sex differences in mitochondrial bioenergetics and provide the foundation for studying mitochondrial function within the context of metabolic perturbations and diseases that affect men and women differently.
Chronic hypertension in pregnancy: impact of ethnicity and superimposed preeclampsia on placental, endothelial, and renal biomarkers
Authors: Webster Louise M. , Gill Carolyn , Seed Paul T. , Bramham Kate , Wiesender Cornelia , Nelson-Piercy Catherine , Myers Jenny E. , Chappell Lucy C.
Published: March 2018

Black ethnicity is associated with worse pregnancy outcomes in women with chronic hypertension. Preexisting endothelial and renal dysfunction and poor placentation may contribute, but pathophysiological mechanisms underpinning increased risk are poorly understood. This cohort study aimed to investigate the relationship between ethnicity, superimposed preeclampsia, and longitudinal changes in markers of endothelial, renal, and placental dysfunction in women with chronic hypertension. Plasma concentrations of placental growth factor (PlGF), syndecan-1, renin, and aldosterone and urinary angiotensinogen-to-creatinine ratio (AGTCR), protein-to-creatinine ratio (PCR), and albumin-to-creatinine ratio (ACR) were quantified during pregnancy and postpartum in women with chronic hypertension. Comparisons of longitudinal biomarker concentrations were made using log-transformation and random effects logistic regression allowing for gestation. Of 117 women, superimposed preeclampsia was diagnosed in 21% ( n = 25), with 24% ( n = 6) having an additional diagnosis of diabetes. The cohort included 63 (54%) women who self-identified as being of black ethnicity. PlGF concentrations were 67% lower [95% confidence interval (CI) −79 to −48%] and AGTCR, PCR, and ACR were higher over gestation, in women with subsequent superimposed preeclampsia (compared with those without superimposed preeclampsia). PlGF <100 pg/ml at 20–23.9 wk of gestation predicted subsequent birth weight <3rd percentile with 88% sensitivity (95% CI 47–100%) and 83% specificity (95% CI 70–92%). Black women had 43% lower renin (95% CI −58 to −23%) and 41% lower aldosterone (95%CI −45 to −15%) concentrations over gestation. Changes in placental (PlGF) and renal (AGTCR/PCR/ACR) biomarkers predated adverse pregnancy outcome. Ethnic variation in the renin-angiotensin-aldosterone system exists in women with chronic hypertension in pregnancy and may be important in treatment selection.
Sodium nitrate supplementation alters mitochondrial H2O2 emission but does not improve mitochondrial oxidative metabolism in the heart of healthy rats
Authors: Monaco Cynthia M. F. , Miotto Paula M. , Huber Jason S. , van Loon Luc J. C. , Simpson Jeremy A. , Holloway Graham P.
Published: March 2018

Supplementation with dietary inorganic nitrate ([Formula: see text]) is increasingly recognized to confer cardioprotective effects in both healthy and clinical populations. While the mechanism(s) remains ambiguous, in skeletal muscle oral consumption of NaNO3 has been shown to improve mitochondrial efficiency. Whether NaNO3 has similar effects on mitochondria within the heart is unknown. Therefore, we comprehensively investigated the effect of NaNO3 supplementation on in vivo left ventricular (LV) function and mitochondrial bioenergetics. Healthy male Sprague-Dawley rats were supplemented with NaNO3 (1 g/l) in their drinking water for 7 days. Echocardiography and invasive hemodynamics were used to assess LV morphology and function. Blood pressure (BP) was measured by tail-cuff and invasive hemodynamics. Mitochondrial bioenergetics were measured in LV isolated mitochondria and permeabilized muscle fibers by high-resolution respirometry and fluorometry. Nitrate decreased ( P < 0.05) BP, LV end-diastolic pressure, and maximal LV pressure. Rates of LV relaxation (when normalized to mean arterial pressure) tended ( P = 0.13) to be higher with nitrate supplementation. However, nitrate did not alter LV mitochondrial respiration, coupling efficiency, or oxygen affinity in isolated mitochondria or permeabilized muscle fibers. In contrast, nitrate increased ( P < 0.05) the propensity for mitochondrial H2O2 emission in the absence of changes in cellular redox state and decreased the sensitivity of mitochondria to ADP (apparent Km). These results add to the therapeutic potential of nitrate supplementation in cardiovascular diseases and suggest that nitrate may confer these beneficial effects via mitochondrial redox signaling.
Triptolide delays disease progression in an adult rat model of polycystic kidney disease through the JAK2-STAT3 pathway
Authors: Jing Ying , Wu Ming , Zhang Di , Chen Dongping , Yang Ming , Mei Shuqin , He Liangliang , Gu Junhui , Qi Na , Fu Lili , Li Lin , Mei Changlin
Published: March 2018

The aim of our current study was to investigate the long-term effect and the mechanism of triptolide in an adult nonorthologous rat model of polycystic kidney disease (PKD). Male wild-type (+/+) and Cy/+ cystic Han:SPRD rats were treated with vehicle or triptolide from 4 to 16 wk of age. Rats were killed at 16 wk of age for blood, urine, and organ collection. Human-derived WT9–12 PKD cells were treated with triptolide with or without IL-6 pretreatment. Cell proliferation, apoptosis, and cytotoxicity were determined. Western blotting and immunohistochemistry analysis were performed to evaluate the activation of IL-6-JAK2-STAT3 pathway. Renal function was protected by 12 wk of triptolide treatment in cystic Han:SPRD rats as shown by reduced blood urea nitrogen, serum creatinine, and proteinuria levels. Cyst and kidney growth were also retarded by triptolide treatment in Cy/+ rats. We further found that the proliferation index was reduced by triptolide in cystic rats, which was correlated with the reduced expression of IL-6/IL-6 receptor, decreased phosphorylation of JAK2-STAT3, and increased expression of suppressor of cytokine signaling 3 (SOCS3). The inhibitory effect of triptolide was further studied in WT9–12 cells. Triptolide inhibited cell proliferation and the activation of JAK2-STAT3 pathway in PKD cells, but it increased the expression of SOCS3. Pretreatment with IL-6 attenuated the inhibitory effect of triptolide on STAT3 phosphorylation. Our study revealed a long-term beneficial effect of triptolide in PKD that was probably through inhibition of the JAK2-STAT3 pathway.
Endothelial progenitor cells accelerate endothelial regeneration in an in vitro model of Shigatoxin-2a-induced injury via soluble growth factors
Authors: Patry Christian , Betzen Christian , Fathalizadeh Farnoosh , Fichtner Alexander , Westhoff Jens H. , Fleming Thomas , Eckstein Volker , Bruckner Tom , Bielaszewska Martina , Karch Helge , Hoffmann Georg F. , Tönshoff Burkhard , Rafat Neysan
Published: March 2018

Endothelial injury with consecutive microangiopathy and endothelial dysfunction plays a central role in the pathogenesis of the postenteropathic hemolytic uremic syndrome (D + HUS). To identify new treatment strategies, we examined the regenerative potential of endothelial progenitor cells (EPCs) in an in vitro model of Shiga toxin (Stx) 2a-induced glomerular endothelial injury present in D + HUS and the mechanisms of EPC-triggered endothelial regeneration. We simulated the proinflammatory milieu present in D + HUS by priming human renal glomerular endothelial cells (HRGECs) with tumor necrosis factor-α before stimulation with Stx2a. This measure led to a time- and concentration-dependent decrease of HRGEC viability of human renal glomerular endothelial cells as detected by a colorimetric assay. Coincubation with EPCs (104–105cells/ml) under dynamic flow conditions led to a significant improvement of cell viability in comparison to untreated monolayers (0.45 ± 0.06 vs. 0.16 ± 0.04, P = 0.003). A comparable regenerative effect of EPCs was observed in a coculture model using cell culture inserts (0.41 ± 0.05 vs. 0.16 ± 0.04, P = 0.003) associated with increased concentrations of vascular endothelial growth factor, insulin-like growth factor I, fibroblast growth factor-2, and hepatocyte growth factor in the supernatant. Treatment of Stx2a-injured monolayers with a combination of these growth factors imitated this effect. EPCs did not show distinct sings of migration and angiogenic tube formation in functional assays. These data demonstrate that EPCs significantly improve endothelial viability after Stx2a-induced injury in vitro and that this effect is associated with the release of growth factors by EPCs.
Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy
Authors: Park Seong-Cheol , Chung Chun Kee
Published: March 2018

The objective of this study was to introduce a new machine learning guided by outcome of resective epilepsy surgery defined as the presence/absence of seizures to improve data mining for interictal pathological activities in neocortical epilepsy. Electrocorticographies for 39 patients with medically intractable neocortical epilepsy were analyzed. We separately analyzed 38 frequencies from 0.9 to 800 Hz including both high-frequency activities and low-frequency activities to select bands related to seizure outcome. An automatic detector using amplitude-duration-number thresholds was used. Interictal electrocorticography data sets of 8 min for each patient were selected. In the first training data set of 20 patients, the automatic detector was optimized to best differentiate the seizure-free group from not-seizure-free-group based on ranks of resection percentages of activities detected using a genetic algorithm. The optimization was validated in a different data set of 19 patients. There were 16 (41%) seizure-free patients. The mean follow-up duration was 21 ± 11 mo (range, 13–44 mo). After validation, frequencies significantly related to seizure outcome were 5.8, 8.4–25, 30, 36, 52, and 75 among low-frequency activities and 108 and 800 Hz among high-frequency activities. Resection for 5.8, 8.4–25, 108, and 800 Hz activities consistently improved seizure outcome. Resection effects of 17–36, 52, and 75 Hz activities on seizure outcome were variable according to thresholds. We developed and validated an automated detector for monitoring interictal pathological and inhibitory/physiological activities in neocortical epilepsy using a data-driven approach through outcome-guided machine learning.

NEW & NOTEWORTHY Outcome-guided machine learning based on seizure outcome was used to improve detections for interictal electrocorticographic low- and high-frequency activities. This method resulted in better separation of seizure outcome groups than others reported in the literature. The automatic detector can be trained without human intervention and no prior information. It is based only on objective seizure outcome data without relying on an expert’s manual annotations. Using the method, we could find and characterize pathological and inhibitory activities.
Systemic inflammation inhibits serotonin receptor 2-induced phrenic motor facilitation upstream from BDNF/TrkB signaling
Authors: Agosto-Marlin Ibis M. , Nichols Nicole L. , Mitchell Gordon S.
Published: March 2018

Although systemic inflammation induced by even a low dose of lipopolysaccharide (LPS, 100 μg/kg) impairs respiratory motor plasticity, little is known concerning cellular mechanisms giving rise to this inhibition. Phrenic motor facilitation (pMF) is a form of respiratory motor plasticity elicited by pharmacological agents applied to the cervical spinal cord, or by acute intermittent hypoxia (AIH; 3, 5-min hypoxic episodes); when elicited by AIH, pMF is known as phrenic long-term facilitation (pLTF). AIH consisting of moderate hypoxic episodes (mAIH, arterial Po2 = 35–55 mmHg) elicits pLTF via the Q pathway to pMF, a mechanism that requires spinal serotonin (5HT2) receptor activation and new brain-derived neurotrophic factor (BDNF) protein synthesis. Although mild systemic inflammation attenuates mAIH-induced pLTF via spinal p38 MAP kinase activation, little is known concerning how p38 MAP kinase activity inhibits the Q pathway. Here, we confirmed that 24 h after a low LPS dose (100 μg/kg ip), mAIH-induced pLTF is greatly attenuated. Similarly, pMF elicited by intrathecal cervical injections of 5HT2A(DOI; 100 μM; 3 × 6 μl) or 5HT2Breceptor agonists (BW723C86; 100 μM; 3 × 6 μl) is blocked 24 h post-LPS. When pMF was elicited by intrathecal BDNF (100 ng, 12 μl), pMF was actually enhanced 24 h post-LPS. Thus 5HT2A/2Breceptor-induced pMF is impaired downstream from 5HT2receptor activation, but upstream from BDNF/TrkB signaling. Mechanisms whereby LPS augments BDNF-induced pMF are not yet known.

NEW & NOTEWORTHY These experiments give novel insights concerning mechanisms whereby systemic inflammation undermines serotonin-dependent, spinal respiratory motor plasticity, yet enhances brain-derived neurotrophic factor (BDNF)/TrkB signaling in phrenic motor neurons. These insights may guide development of new strategies to elicit functional recovery of breathing capacity in patients with respiratory impairment by reducing (or bypassing) the impact of systemic inflammation characteristic of clinical disorders that compromise breathing.
Meridian interference reveals neural locus of motion-induced position shifts
Authors: Liu Sirui , Tse Peter U. , Cavanagh Patrick
Published: March 2018

When a Gabor patch moves along a path in one direction while its internal texture drifts orthogonally to this path, it can appear to deviate from its physical path by 45° or more. This double-drift illusion is different from other motion-induced position shift effects in several ways: it has an integration period of over a second; the illusory displacement that accumulates over a second or more is orthogonal to rather than along the motion path; the perceptual deviations are much larger; and they have little or no effect on eye movements to the target. In this study we investigated the underlying neural mechanisms of the motion integration and position processing for this double-drift stimulus by testing possible anatomical constraints on its magnitude. We found that the illusion was reduced at the vertical and horizontal meridians when the perceptual path would cross or be driven toward the meridian, but not at other locations or other motion directions. The disruption of the accumulation of the position error at both the horizontal and vertical meridians suggests a central role of quadrantic areas in the generation of this type of motion-induced position shift.

NEW & NOTEWORTHY The remarkably strong double-drift illusion is disrupted at both the vertical and horizontal meridians. We propose that this finding is the behavioral consequence of the anatomical gaps at both meridians, suggesting that neural areas with quadrantic representations (e.g., V2, V3) are the initial locus of this motion-induced position shift. This result rules out V1 as the source of the illusion because it has an anatomical break only at the vertical meridian.
The Biology of Regeneration Failure and Success After Spinal Cord Injury
Authors: Tran Amanda Phuong , Warren Philippa Mary , Silver Jerry
Published: March 2018

Since no approved therapies to restore mobility and sensation following spinal cord injury (SCI) currently exist, a better understanding of the cellular and molecular mechanisms following SCI that compromise regeneration or neuroplasticity is needed to develop new strategies to promote axonal regrowth and restore function. Physical trauma to the spinal cord results in vascular disruption that, in turn, causes blood-spinal cord barrier rupture leading to hemorrhage and ischemia, followed by rampant local cell death. As subsequent edema and inflammation occur, neuronal and glial necrosis and apoptosis spread well beyond the initial site of impact, ultimately resolving into a cavity surrounded by glial/fibrotic scarring. The glial scar, which stabilizes the spread of secondary injury, also acts as a chronic, physical, and chemo-entrapping barrier that prevents axonal regeneration. Understanding the formative events in glial scarring helps guide strategies towards the development of potential therapies to enhance axon regeneration and functional recovery at both acute and chronic stages following SCI. This review will also discuss the perineuronal net and how chondroitin sulfate proteoglycans (CSPGs) deposited in both the glial scar and net impede axonal outgrowth at the level of the growth cone. We will end the review with a summary of current CSPG-targeting strategies that help to foster axonal regeneration, neuroplasticity/sprouting, and functional recovery following SCI.
Maternal Body Mass Index and Anovaginal Distance in Active Phase of Term Labor
Authors: Hjertberg Linda , Uustal Eva , Pihl Sofia , Blomberg Marie
Published: March 2018

Introduction. To evaluate if there was a difference in the anovaginal distance (AVD) measured by transperineal ultrasound between obese and normal weight women. Material and Methods. A prospective observational study including 207 primiparous women at term in first stage of labor. Transperineal ultrasound with a vaginal probe was used to measure the AVD. Maternal, pregnancy, and delivery characteristics potentially associated with perineal thickness were extracted from woman’s medical records. The participants were divided into three BMI groups based on maternal weight in early pregnancy: normal weight (BMI < 25), overweight (BMI 25–29.9), and obesity (BMI ≥ 30). Obese and overweight women were compared with normal weight women regarding the AVD. Results. The mean AVD was 24.3, 24.9, and 27.0 mm in the normal weight, overweight, and obesity group, respectively. There were no group differences in background characteristics. The AVD was significantly longer in obese women compared with normal weight women (p=0.018). Conclusions. The observed longer AVD in obese women might be protective of the anal sphincter complex, explaining lower rates of anal sphincter injuries in this group. Further studies are indicated to evaluate whether the length of the AVD plays a role in the risk assessment of obstetric anal sphincter injury. The trial is registered in ClinicalTrials.gov and the trial registration ID is NCT03149965.
Analysis of Heuristic Uniform Theory of Diffraction Coefficients for Electromagnetic Scattering Prediction
Authors: Tami Diego , Rego Cássio G. , Guevara Dinael , Navarro Andrés , Moreira Fernando J. S. , Giménez Jordi , Triana Hernan G.
Published: March 2018

We discuss three sets of heuristic coefficients used in uniform theory of diffraction (UTD) to characterize the electromagnetic scattering in realistic urban scenarios and canonical examples of diffraction by lossy conducting wedges using the three sets of heuristic coefficients and the Malyuzhinets solution as reference model. We compare not only the results of the canonical models but also their implementation in real outdoor scenarios. To predict the coverage of mobile networks, we used propagation models for outdoor environments by using a 3D ray-tracing model based on a brute-force algorithm for ray launching and a propagation model based on image theory. To evaluate each set of coefficients, we analyzed the mean and standard deviation of the absolute error between estimates and measured data in Ottawa, Canada; Valencia, Spain; and Cali, Colombia. Finally, we discuss the path loss prediction for each set of heuristic UTD coefficients in outdoor environment, as well as the comparison with the canonical results.
Effective Evolutionary Multilabel Feature Selection under a Budget Constraint
Authors: Lee Jaesung , Seo Wangduk , Kim Dae-Won
Published: March 2018

Multilabel feature selection involves the selection of relevant features from multilabeled datasets, resulting in improved multilabel learning accuracy. Evolutionary search‐based multilabel feature selection methods have proved useful for identifying a compact feature subset by successfully improving the accuracy of multilabel classification. However, conventional methods frequently violate budget constraints or result in inefficient searches due to ineffective exploration of important features. In this paper, we present an effective evolutionary search‐based feature selection method for multilabel classification with a budget constraint. The proposed method employs a novel exploration operation to enhance the search capabilities of a traditional genetic search, resulting in improved multilabel classification. Empirical studies using 20 real‐world datasets demonstrate that the proposed method outperforms conventional multilabel feature selection methods.
Mast Cells and Nerve Signal Conduction in Acupuncture
Authors: Yin Na , Yang Hongwei , Yao Wei , Xia Ying , Ding Guanghong
Published: March 2018

Nerve and mast cells are densely distributed around acupoints in connective tissue. To explore the internal relations between them in acupuncture effect, we examined dorsal root potential (DRP) response to acupuncture at Zusanli (ST36) under sodium cromoglicate (DSCG, a mast cell stabilizer) intervention in anesthetized Sprague‐Dawley (SD) rats. We used single unit nerve recording techniques to collect nerve signals from DRP afferent nerves for a 45‐minute period that includes 4 stages, that is, base, drug absorption, acupuncture, and recovery stages. We analyzed the recorded signals from time‐domain and frequency‐domain perspectives. The results showed that once acupuncture needle was inserted, twisting needle excited more nerves discharges than those at base discharges in ACU (from 35.1 ± 7.2 to 47 ± 9.2 Hz, P = 0.004), and there existed the same trend in Saline + ACU group (from 23.8 ± 2.6 to 29.8 ± 4.2 Hz, P = 0.059). There was no change of nerve discharges under twisting needle with injection of DSCG (from 34.8 ± 5.3 to 34.7 ± 4.4 Hz, P = 0.480). We conclude that acupuncture manipulation promotes neural signal production and DSCG could partly inhibit nerve discharges.
Chromium‐Containing Traditional Chinese Medicine, Tianmai Xiaoke Tablet, for Newly Diagnosed Type 2 Diabetes Mellitus: A Meta‐Analysis and Systematic Review of Randomized Clinical Trials
Authors: Gu Yuming , Xu Xuemin , Wang Zhe , Xu Yunsheng , Liu Xiuzhi , Cao Lejun , Wang Xueyang , Li Zhengxin , Feng Bo
Published: March 2018

Objective. Chromium‐containing traditional Chinese medicine Tianmai Xiaoke tablet (TMXKT) is approved for treating newly diagnosed type 2 diabetes mellitus (T2DM) in China. This review aimed to compile the evidence from randomized clinical trials (RCTs) and quantify the effects of TMXKT on newly diagnosed T2DM. Methods. Seven online databases were investigated up to March 20, 2017. The meta‐analysis included RCTs investigating the treatment of newly diagnosed T2DM, in which TMXKT combined with conventional therapy was compared with placebo or conventional therapy. The risk of bias was evaluated using the Cochrane Collaboration tool. The estimated mean difference (MD) and the standardized mean difference were within 95% confidence intervals (CI) with respect to the interstudy heterogeneity. The outcomes were measured using fasting blood glucose (FBG), 2‐h postprandial blood glucose (2hPG), glycosylated hemoglobin A1c (HbA1c), and body mass index (BMI) levels. Results. TMXKT combined with conventional therapy lowered FBG level (MD = −0.68, 95% CI −0.90 to −0.45, P < 0.00001), 2hPG (MD = −1.33, 95% CI −1.86 to −0.79, P < 0.00001), HbA1c (MD = −0.46, 95% CI −0.57 to −0.36, P < 0.00001), and BMI (MD = −0.77, 95% CI −1.12 to −0.41, P < 0.00001). Conclusions. TMXKT combined with conventional therapy is beneficial for patients with newly diagnosed T2DM. However, the effectiveness and safety of TMXKT are uncertain because of the limited number of trials and low methodological quality. Therefore, practitioners should be cautious when applying TMXKT in daily practice. Also, well‐designed clinical trials are needed in the future.
A Longitudinal Study for the Empirical Validation of an Etiopathogenetic Model of Internet Addiction in Adolescence Based on Early Emotion Regulation
Authors: Cimino Silvia , Cerniglia Luca
Published: March 2018

Several etiopathogenetic models have been conceptualized for the onset of Internet Addiction (IA). However, no study had evaluated the possible predictive effect of early emotion regulation strategies on the development of IA in adolescence. In a sample of N=142 adolescents with Internet Addiction, this twelve-year longitudinal study aimed at verifying whether and how emotion regulation strategies (self-focused versus other-focused) at two years of age were predictive of school-age children’s internalizing/externalizing symptoms, which in turn fostered Internet Addiction (compulsive use of the Web versus distressed use) in adolescence. Our results confirmed our hypotheses demonstrating that early emotion regulation has an impact on the emotional-behavioral functioning in middle childhood (8 years of age), which in turn has an influence on the onset of IA in adolescence. Moreover, our results showed a strong, direct statistical link between the characteristics of emotion regulation strategies in infancy and IA in adolescence. These results indicate that a common root of unbalanced emotion regulation could lead to two different manifestations of Internet Addiction in youths and could be useful in the assessment and treatment of adolescents with IA.
3D Energy Absorption Diagram Construction of Paper Honeycomb Sandwich Panel
Authors: Wang Dongmei , Bai Ziyou , Liao Qianghua
Published: March 2018

Paper honeycomb sandwich panel is an environment‐sensitive material. Its cushioning property is closely related to its structural factors, the temperature and humidity, random shocks, and vibration events in the logistics environment. In order to visually characterize the cushioning property of paper honeycomb sandwich panel in different logistics conditions, the energy absorption equation of per unit volume of paper honeycomb sandwich panel was constructed by piecewise function. The three‐dimensional (3D) energy absorption diagram of paper honeycomb sandwich panel was constructed by connecting the inflexion of energy absorption curve. It takes into account the temperature, humidity, strain rate, and characteristics of the honeycomb structure. On the one hand, this diagram breaks through the limitation of the static compression curve of paper honeycomb sandwich panel, which depends on the test specimen and is applicable only to the standard condition. On the other hand, it breaks through the limitation of the conventional 2D energy absorption diagram which has less information. Elastic modulus was used to normalize the plateau stress and energy absorption per unit volume. This makes the 3D energy absorption diagram universal for different material sandwich panels. It provides a new theoretical basis for packaging optimized design.
Rethinking the Viability and Utility of Inhaled Insulin in Clinical Practice
Authors: Heinemann Lutz , Parkin Christopher G.
Published: March 2018

Despite considerable advances in pharmacotherapy and self-monitoring technologies in the last decades, a large percentage of adults with diabetes remain unsuccessful in achieving optimal glucose due to suboptimal medication adherence. Contributors to suboptimal adherence to insulin treatment include pain, inconvenience, and regimen complexity; however, a key driver is hypoglycemia. Improvements in the PK/PD characteristics of today’s SC insulins provide more physiologic coverage of basal and prandial insulin requirements than regular human insulin; however, they do not achieve the rapid on/rapid off characteristics of endogenously secreted insulin seen in healthy, nondiabetic individuals. Pulmonary administration of prandial insulin represents an attractive option that overcomes limitations of SC insulin by providing more a rapid onset of action and a faster return of action to baseline levels than SC administration of rapid-acting insulin analogs. This article reviews the unique PK/PD properties of a novel inhaled formulation that support its use in patient populations with T1D or T2D.
The Analysis of Stress Waves at a Junction of Beam and String
Authors: Chen Mu , Wang Ronghui , Ma Niujing , Zhang Zhuojie
Published: March 2018

In the bridge engineering, there are some problems about the dynamics that traditional theory cannot solve. So, the theory about stress waves is introduced to solve the related problems. This is a new attempt that the mechanic theory is applied to practical engineering. The stress wave at a junction of the structure composed of beams and strings is investigated in this paper. The structure is studied because the existence of a soft rope makes the transmission of the force in the bridge structure different from the traditional theory, and it is the basis for further research. The equilibrium equations of the displacement and the internal force are built based on the hypothesis. The fast Fourier transform (FFT) numerical algorithm is used to express an incident pulse of arbitrary shape. The analytical solutions are substantiated by comparing with the finite element programs. The conclusion that if the cross section of the string is relatively small, then the energy density of the structure is relatively large, which is disadvantageous to the structure, can be obtained from this paper.
Syzygium jambos Displayed Antibacterial and Antibiotic‐Modulating Activities against Resistant Phenotypes
Authors: Wamba Brice E. N. , Nayim Paul , Mbaveng Armelle T. , Voukeng Igor K. , Dzotam Joachim K. , Ngalani Ornella J. T. , Kuete Victor
Published: March 2018

The present study was designed to evaluate the antibacterial activities of methanol extracts of bark and leaves of Syzygium jambos, as well as their synergistic effects with selected antibiotics against drug‐resistant Gram‐positive and Gram‐negative bacteria. The crude extracts were subjected to qualitative phytochemical screening; broth microdilution method was used for antibacterial assays. Phytochemical studies indicate that leaves and bark extracts contained polyphenols, anthraquinones, tannins, and steroids. Extract of the leaves was active against all the 26 strains of Staphylococcus aureus and all the 21 strains of Gram‐negative bacteria tested, within the minimum inhibitory concentration (MIC) range of 32–512 μg/mL. The lowest MIC value of 32 μg/mL was obtained with extract of the leaves against Staphylococcus aureus MRSA9 strain. In Gram‐negative bacteria, the lowest MIC value of 64 μg/mL was also obtained against Enterobacter aerogenes EA294 and Klebsiella pneumoniae K24 strains. Against S. aureus strains, antibiotic‐modulating activity of extracts at MIC/2 towards more than 70% of the tested strains was obtained when leaves and bark extracts were tested in association with chloramphenicol (CHL). This was also the case when leaves extract was combined with CHL, kanamycin (KAN), tetracycline (TET), and erythromycin (ERY) and when bark extract was combined with ciprofloxacin (CIP), TET, and ERY against Gram‐negative bacteria. In conclusion, this study demonstrated that Syzygium jambos has antibacterial and antibiotic‐modulating activities.