bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Total Knee Arthroplasty with General Anesthesia on Brain Networks: Cognitive Efficiency and Ventricular Volume Predict Functional Connectivity Decline in Older Adults
Authors: Huang Haiqing , Tanner Jared , Parvataneni Hari , Rice Mark , Horgas Ann , Ding Mingzhou , Price Catherine
Published: February 2018

Using resting state functional magnetic resonance imaging (RS-fMRI), we explored: 1) pre- to post-operative changes in functional connectivity in default mode, salience, and central executive networks after total knee arthroplasty (TKA) with general anesthesia, and 2) the contribution of cognitive/brain reserve metrics these resting state functional declines. Individuals age 60 and older electing unilateral total knee arthroplasty (TKA; n = 48) and non-surgery peers with osteoarthritis ( n = 45) completed baseline cognitive testing and baseline and post-surgery (post-baseline, 48-h post-surgery) brain MRI. We acquired cognitive and brain estimates for premorbid (vocabulary, reading, education, intracranial volume) and current (working memory, processing speed, declarative memory, ventricular volume) reserve. Functional network analyses corrected for pain severity and pain medication. The surgery group declined in every functional network of interest ( p < 0.001). Relative to non-surgery peers, 23% of surgery participants declined in at least one network and 15% of the total TKA sample declined across all networks. Larger preoperative ventricular volume and lower scores on preoperative metrics of processing speed and working memory predicted default mode network connectivity decline. Premorbid cognitive and premorbid brain reserve did not predict decline. Within 48 hours after surgery, at least one fourth of the older adult sample showed significant functional network decline. Metrics of current brain status (ventricular volume), working memory, and processing speed predicted the severity of default mode network connectivity decline. These findings demonstrate the relevance of preoperative cognition and brain integrity on acute postoperative functional network change.
Cerebrospinal Fluid and Plasma Levels of Inflammation Differentially Relate to CNS Markers of Alzheimer’s Disease Pathology and Neuronal Damage
Authors: Bettcher Brianne M. , Johnson Sterling C. , Fitch Ryan , Casaletto Kaitlin B. , Heffernan Kate S. , Asthana Sanjay , Zetterberg Henrik , Blennow Kaj , Carlsson Cynthia M. , Neuhaus John , Bendlin Barbara B. , Kramer Joel H.
Published: February 2018

Inflammatory markers have been shown to predict neurocognitive outcomes in aging adults; however, the degree to which peripheral markers mirror the central nervous system remains unknown. We investigated the association between plasma and cerebrospinal fluid (CSF) markers of inflammation, and explored whether these markers independently predict CSF indicators of Alzheimer’s disease (AD) pathology or neuronal damage. Plasma and CSF samples were analyzed for inflammatory markers in a cohort of asymptomatic older adults ( n = 173). CSF samples were analyzed for markers of AD pathology (Aβ42, phosphorylated tau [p-tau], sAβPPβ) or neuronal damage (total tau; neurofilament light chain) ( n = 147). Separate linear models for each analyte were conducted with CSF and plasma levels entered simultaneously as predictors and markers of AD pathology or neuronal damage as outcome measures. Strong associations were noted between CSF and plasma MIP-1β levels, and modest associations were observed for remaining analytes. With respect to AD pathology, higher levels of plasma and CSF IL-8, CSF MIP-1β, and CSF IP-10 were associated with higher levels of p-tau. Higher levels of CSF IL-8 were associated with higher levels of CSF Aβ42. Higher CSF sAβPPβ levels were associated with higher plasma markers only (IL-8; MCP-1). In terms of neuronal injury, higher levels of plasma and CSF IL-8, CSF IP-10, and CSF MIP-1β were associated with higher levels of CSF total tau. Exploratory analyses indicated that CSF Aβ42 modifies the relationship between plasma inflammatory levels and CSF tau levels. Results suggest that both plasma and CSF inflammatory markers independently relay integral information about AD pathology and neuronal damage.
Memory Binding Test Predicts Incident Dementia: Results from the Einstein Aging Study
Authors: Mowrey Wenzhu B. , Lipton Richard B. , Katz Mindy J. , Ramratan Wendy S. , Loewenstein David A. , Zimmerman Molly E. , Buschke Herman
Published: February 2018

Background:

The Memory Binding Test (MBT) demonstrated good cross-sectional discriminative validity and predicted incident aMCI.

Objective:

To assess whether the MBT predicts incident dementia better than a conventional list learning test in a longitudinal community-based study.

Methods:

As a sub-study in the Einstein Aging Study, 309 participants age≥70 initially free of dementia were administered the MBT and followed annually for incident dementia for up to 13 years. Based on previous work, poor memory binding was defined using an optimal empirical cut-score of≤17 on the binding measure of the MBT, Total Items in the Paired condition (TIP). Cox proportional hazards models were used to assess predictive validity adjusting for covariates. We compared the predictive validity of MBT TIP to that of the free and cued selective reminding test free recall score (FCSRT-FR; cut-score:≤24) and the single list recall measure of the MBT, Cued Recalled from List 1 (CR-L1; cut-score:≤12).

Results:

Thirty-five of 309 participants developed incident dementia. When assessing each test alone, the hazard ratio (HR) for dementia was significant for MBT TIP (HR = 8.58, 95% CI: (3.58, 20.58), p < 0.0001), FCSRT-FR (HR = 4.19, 95% CI: (1.94, 9.04), p = 0.0003) and MBT CR-L1 (HR = 2.91, 95% CI: (1.37, 6.18), p = 0.006). MBT TIP remained a significant predictor of dementia ( p = 0.0002) when adjusting for FCSRT-FR or CR-L1.

Conclusions:

Older adults with poor memory binding as measured by the MBT TIP were at increased risk for incident dementia. This measure outperforms conventional episodic memory measures of free and cued recall, supporting the memory binding hypothesis.
Evolvability of Amyloidogenic Proteins in Human Brain
Authors: Hashimoto Makoto , Ho Gilbert , Sugama Shuei , Takamatsu Yoshiki , Shimizu Yuka , Takenouchi Takato , Waragai Masaaki , Masliah Eliezer
Published: February 2018

Currently, the physiological roles of amyloidogenic proteins (APs) in human brain, such as amyloid-β and α-synuclein, are elusive. Given that many APs arose by gene duplication and have been resistant against the pressures of natural selection, APs may be associated with some functions that are advantageous for survival of offspring. Nonetheless, evolvability is the sole physiological quality of APs that has been characterized in microorganisms such as yeast. Since yeast and human brain may share similar strategies in coping with diverse range of critical environmental stresses, the objective of this paper was to discuss the potential role of evolvability of APs in aging-associated neurodegenerative disorders, including Alzheimer’s disease and Parkinson’s disease. Given the heterogeneity of APs in terms of structure and cytotoxicity, it is argued that APs might be involved in preconditioning against diverse stresses in human brain. It is further speculated that these stress-related APs, most likely protofibrillar forms, might be transmitted to offspring via the germline, conferring preconditioning against forthcoming stresses. Thus, APs might represent a vehicle for the inheritance of the acquired characteristics against environmental stresses. Curiously, such a characteristic of APs is reminiscent of Charles Darwin’s ‘gemmules’, imagined molecules of heritability described in his pangenesis theory. We propose that evolvability might be a physiological function of APs during the reproductive stage and neurodegenerative diseases could be a by-product effect manifested later in aging. Collectively, our evolvability hypothesis may play a complementary role in the pathophysiology of APs with the conventional amyloid cascade hypothesis.
Early Tau Burden Correlates with Higher Rate of Atrophy in Transentorhinal Cortex
Authors: Xie Long , Das Sandhitsu R. , Wisse Laura E.M. , Ittyerah Ranjit , Yushkevich Paul A. , Wolk David A. ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: February 2018

Neurofibrillary tangle (NFT) pathology is linked to neurodegeneration in the medial temporal lobe (MTL). Using a tailored pipeline, we correlated atrophy rate, as measured from retrospective longitudinal MRI, with NFT burden, measured from 18F-AV-1451 PET, within MTL regions of earliest NFT pathology. In amyloid-β positive but not amyloid-β negative individuals, we found significant correlation between 18F-AV-1451 uptake and atrophy rate that was strongest in the transentorhinal cortex, the first region with NFT pathology. This supports the role of NFTs in driving neurodegeneration and the utility of 18F-AV-1451 PET and structural measurement of transentorhinal cortex in tracking early tau-mediated disease progression.
Towards Remote Estimation of Radiation Use Efficiency in Maize Using UAV-Based Low-Cost Camera Imagery
Authors: Tewes Andreas , Schellberg Jürgen
Published: February 2018

Radiation Use Efficiency (RUE) defines the productivity with which absorbed photosynthetically active radiation (APAR) is converted to plant biomass. Readily used in crop growth models to predict dry matter accumulation, RUE is commonly determined by elaborate static sensor measurements in the field. Different definitions are used, based on total absorbed PAR (RUEtotal) or PAR absorbed by the photosynthetically active leaf tissue only (RUEgreen). Previous studies have shown that the fraction of PAR absorbed (fAPAR), which supports the assessment of RUE, can be reliably estimated via remote sensing (RS), but unfortunately at spatial resolutions too coarse for experimental agriculture. UAV-based RS offers the possibility to cover plant reflectance at very high spatial and temporal resolution, possibly covering several experimental plots in little time. We investigated if (a) UAV-based low-cost camera imagery allowed estimating RUEs in different experimental plots where maize was cultivated in the growing season of 2016, (b) those values were different from the ones previously reported in literature and (c) there was a difference between RUEtotal and RUEgreen. We determined fractional cover and canopy reflectance based on the RS imagery. Our study found that RUEtotal ranges between 4.05 and 4.59, and RUEgreen between 4.11 and 4.65. These values are higher than those published in other research articles, but not outside the range of plausibility. The difference between RUEtotal and RUEgreen was minimal, possibly due to prolonged canopy greenness induced by the stay-green trait of the cultivar grown. The procedure presented here makes time-consuming APAR measurements for determining RUE especially in large experiments superfluous.
How to Design a Park and Its Surrounding Urban Morphology to Optimize the Spreading of Cool Air?
Authors: Bernard Jérémy , Rodler Auline , Morille Benjamin , Zhang Xueyao
Published: February 2018

Green areas induce smaller increases in the air temperature than built-up areas. They can offer a solution to mitigating the urban heat island impacts during heat waves, since the cool air generated by a park is diffused into its immediate surroundings through forced or natural convection. The purpose of this study is to characterize the effect of several variables (park size, morphology of surrounding urban area, and wind speed) on the spreading of cool air. A parametric study is performed to run computational fluid dynamics simulations. The air temperature entering the computational domain was set at 35 °C, and the 2-m high surface included within the 34 °C isotherm was defined as an indicator of cool air spreading. The effects of park shape and orientation were negligible in comparison with size effects. The number of buildings was better correlated with the cooled surface area than the typical urban parameters identified in the literature (i.e., building density, aspect ratio, or mean building height). Since the number of buildings is obviously related to the number of streets, this result suggests that the greater the number of streets around a park, the wider the area that cool air spreads.
Analysis, Synchronization and Circuit Design of a 4D Hyperchaotic Hyperjerk System
Authors: Daltzis Petros , Volos Christos , Nistazakis Hector , Tsigopoulos Andreas , Tombras George
Published: February 2018

In this work, a 4D hyperchaotic hyperjerk system, with better results for its Lyapunov exponents and Kaplan–Yorke dimension regarding other systems of this family, as well as its circuit implementation, is presented. Hyperchaotic hyperjerk systems depict complex dynamical behavior in a high-dimensional phase space with n ≥ 4, offering robustness against many types of attacks in private communications. For this reason, an adaptive controller in order to achieve global chaos synchronization of coupled 4D hyperchaotic hyperjerk systems with unknown parameters is designed. The adaptive results in this work are proved using Lyapunov stability theory and the effectiveness of the proposed synchronization scheme is confirmed through the simulation results.
Using the Maximum Entropy Principle to Combine Simulations and Solution Experiments
Authors: Cesari Andrea , Reißer Sabine , Bussi Giovanni
Published: February 2018

Molecular dynamics (MD) simulations allow the investigation of the structural dynamics of biomolecular systems with unrivaled time and space resolution. However, in order to compensate for the inaccuracies of the utilized empirical force fields, it is becoming common to integrate MD simulations with experimental data obtained from ensemble measurements. We review here the approaches that can be used to combine MD and experiment under the guidance of the maximum entropy principle. We mostly focus on methods based on Lagrangian multipliers, either implemented as reweighting of existing simulations or through an on-the-fly optimization. We discuss how errors in the experimental data can be modeled and accounted for. Finally, we use simple model systems to illustrate the typical difficulties arising when applying these methods.
Cosmetic Functional Ingredients from Botanical Sources for Anti-Pollution Skincare Products
Authors: Juliano Claudia , Magrini Giovanni
Published: February 2018

Air pollution is a rising problem in many metropolitan areas around the world. Airborne contaminants are predominantly derived from anthropogenic activities, and include carbon monoxide, sulfur dioxide, nitrogen oxides, volatile organic compounds, ozone and particulate matter (PM; a mixture of solid and liquid particles of variable size and composition, able to absorb and delivery a large number of pollutants). The exposure to these air pollutants is associated to detrimental effects on human skin, such as premature aging, pigment spot formation, skin rashes and eczema, and can worsen some skin conditions, such as atopic dermatitis. A cosmetic approach to this problem involves the topical application of skincare products containing functional ingredients able to counteract pollution-induced skin damage. Considering that the demand for natural actives is growing in all segments of global cosmetic market, the aim of this review is to describe some commercial cosmetic ingredients obtained from botanical sources able to reduce the impact of air pollutants on human skin with different mechanisms, providing a scientific rationale for their use.
On Reducing the Shaft Torque Ripple of Small-to-Medium-Scale Wind Energy Conversion Systems Using Multi-Pulse Autotransformer Rectifier
Authors: Chen Jie , Chen Jiawei
Published: February 2018

In a small-to-medium-scale wind energy conversion system (WECS), diode rectifiers rather than pulse-width modulated (PWM) rectifiers are widely adopted due to the features of high reliability and low cost. However, large current harmonics are induced in the generator phase current by commutations of diode rectifier, eventually causing large torque ripple on the drive-train of the WECS and making it more likely to be fatigue breakdown. In this paper, a 12-pulse autotransformer rectifier unit (ATRU) with reduced volume and weight is proposed for WECS application. By analyzing the characteristics of the input current and output voltage of the ATRU within the entire operation range of WECS, the method to properly design its parameters is proposed. A 1.2 kW direct-drive WECS demonstration platform using ATRU is built in the lab. A modified sensorless overall power control strategy is adopted to control the WECS. Experimental tests are carried out and the results not only validate the feasibility of implementing ATRU in WECS applications, but also prove its high torque ripple reduction ability.
Crystal Crosslinked Gels for the Deposition of Inorganic Salts with Polyhedral Shapes
Authors: Mochizuki Yumi , Oka Chihiro , Ishiwata Takumi , Kokado Kenta , Sada Kazuki
Published: February 2018

Biomineralization has been given a great deal of attention by materials chemists because of its low environmental load and sustainability. With the goal of synthesizing such processes, various methods have been developed, especially for inorganic salts of calcium. In this report, we focused on the deposition of inorganic salts, such as calcium carbonate and calcium phosphate using crystal crosslinked gels (CCG), which are prepared by crystal crosslinking of metal-organic frameworks (MOFs). Due to the crystalline nature of MOFs, CCGs intrinsically possess polyhedral shapes derived from the original MOF crystals. As the result of deposition, the obtained inorganic salts also exhibited a polyhedral shape derived from the CCG. The deposition mainly occurred near the surface of the CCG, and the amorphous nature of the deposited inorganic salts was also confirmed.
Inhibiting Skp2 E3 Ligase Suppresses Bleomycin-Induced Pulmonary Fibrosis
Authors: Mikamo Masashi , Kitagawa Kyoko , Sakai Satoshi , Uchida Chiharu , Ohhata Tatsuya , Nishimoto Koji , Niida Hiroyuki , Suzuki Sayuri , Nakayama Keiichi , Inui Naoki , Suda Takafumi , Kitagawa Masatoshi
Published: February 2018

Idiopathic pulmonary fibrosis (IPF) is a progressive disease with poor prognosis and no curative therapies. SCF-Skp2 E3 ligase is a target for cancer therapy, but there have been no reports about Skp2 as a target for IPF. Here we demonstrate that Skp2 is a promising therapeutic target for IPF. We examined whether disrupting Skp2 suppressed pulmonary fibrosis in a bleomycin (BLM)-induced mouse model and found that pulmonary fibrosis was significantly suppressed in Skp2-deficient mice compared with controls. The pulmonary accumulation of fibrotic markers such as collagen type 1 and fibronectin in BLM-infused mice was decreased in Skp2-deficient mice. Moreover, the number of bronchoalveolar lavage fluid cells accompanied with pulmonary fibrosis was significantly diminished. Levels of the Skp2 target p27 were significantly decreased by BLM-administration in wild-type mice, but recovered in Skp2−/− mice. In vimentin-positive mesenchymal fibroblasts, the decrease of p27-positive cells and increase of Ki67-positive cells by BLM-administration was suppressed by Skp2-deficency. As these results suggested that inhibiting Skp2 might be effective for BLM-induced pulmonary fibrosis, we next performed a treatment experiment using the Skp2 inhibitor SZL-P1-41. As expected, BLM-induced pulmonary fibrosis was significantly inhibited by SZL-P1-41. Moreover, p27 levels were increased by the SZL-P1-41 treatment, suggesting p27 may be an important Skp2 target for BLM-induced pulmonary fibrosis. Our study suggests that Skp2 is a potential molecular target for human pulmonary fibrosis including IPF.
Alterations of Subchondral Bone Progenitor Cells in Human Knee and Hip Osteoarthritis Lead to a Bone Sclerosis Phenotype
Authors: Bianco Daniel , Todorov Atanas , Čengić Tomislav , Pagenstert Geert , Schären Stefan , Netzer Cordula , Hügle Thomas , Geurts Jeroen
Published: February 2018

Subchondral bone tissue plays a key role in the initiation and progression of human and experimental osteoarthritis and has received considerable interest as a treatment target. Elevated bone turnover and remodeling leads to subchondral bone sclerosis that is characterized by an increase in bone material that is less mineralized. The aim of this study was to investigate whether perturbations in subchondral bone-resident progenitor cells might play a role in aberrant bone formation in osteoarthritis. Colony formation assays indicated similar clonogenicity of progenitor cells from non-sclerotic and sclerotic subchondral trabecular bone tissues of osteoarthritic knee and hip joints compared with controls from iliac crest bone. However, the osteogenic potential at the clonal level was approximately two-fold higher in osteoarthritis than controls. An osteogenic differentiation assay indicated an efficient induction of alkaline phosphatase activity but blunted in vitro matrix mineralization irrespective of the presence of sclerosis. Micro-computed tomography and histology demonstrated the formation of de novo calcified tissues by osteoblast-like cells in an ectopic implantation model. The expression of bone sialoprotein, a marker for osteoblast maturation and mineralization, was significantly less in sclerotic progenitor cells. Perturbation of resident progenitor cell function is associated with subchondral bone sclerosis and may be a treatment target for osteoarthritis.
CircSMARCA5 Inhibits Migration of Glioblastoma Multiforme Cells by Regulating a Molecular Axis Involving Splicing Factors SRSF1/SRSF3/PTB
Authors: Barbagallo Davide , Caponnetto Angela , Cirnigliaro Matilde , Brex Duilia , Barbagallo Cristina , D’Angeli Floriana , Morrone Antonio , Caltabiano Rosario , Barbagallo Giuseppe , Ragusa Marco , Di Pietro Cinzia , Hansen Thomas , Purrello Michele
Published: February 2018

Circular RNAs (circRNAs) have recently emerged as a new class of RNAs, highly enriched in the brain and very stable within cells, exosomes and body fluids. To analyze their involvement in glioblastoma multiforme (GBM) pathogenesis, we assayed the expression of twelve circRNAs, physiologically enriched in several regions of the brain, through real-time PCR in a cohort of fifty-six GBM patient biopsies and seven normal brain parenchymas. We focused on hsa_circ_0001445 (circSMARCA5): it was significantly downregulated in GBM biopsies as compared to normal brain tissues (p-value < 0.00001, student’s t-test), contrary to its linear isoform counterpart that did not show any differential expression (p-value = 0.694, student’s t-test). Analysis of a public dataset revealed a negative correlation between the expression of circSMARCA5 and glioma’s histological grade, suggesting its potential negative role in the progression to malignancy. Overexpressing circSMARCA5 in U87MG cells significantly decreased their migration, but not their proliferation rate. In silico scanning of circSMARCA5 sequence revealed an enrichment in binding motifs for several RNA binding proteins (RBPs), specifically involved in splicing. Among them, serine and arginine rich splicing factor 1 (SRSF1), a splicing factor known to be a positive controller of cell migration and known to be overexpressed in GBM, was predicted to bind circSMARCA5 by three different prediction tools. Direct interaction between circSMARCA5 and SRSF1 is supported by enhanced UV crosslinking and immunoprecipitation (eCLIP) data for SRSF1 in K562 cells from Encyclopedia of DNA Elements (ENCODE). Consistently, U87MG overexpressing circSMARCA5 showed an increased expression of serine and arginine rich splicing factor 3 (SRSF3) RNA isoform containing exon 4, normally skipped in a SRSF1-dependent manner, resulting in a non-productive non-sense mediated decay (NMD) substrate. Interestingly, SRSF3 is known to interplay with two other splicing factors, polypyrimidine tract binding protein 1 (PTBP1) and polypyrimidine tract binding protein 2 (PTBP2), that positively regulate glioma cells migration. Collectively, our data show circSMARCA5 as a promising druggable tumor suppressor in GBM and suggest that it may exert its function by tethering the RBP SRSF1.
Genome-Wide Analysis of the NF-YB Gene Family in Gossypium hirsutum L. and Characterization of the Role of GhDNF-YB22 in Embryogenesis
Authors: Chen Yanli , Yang Zhaoen , Xiao Yanqing , Wang Peng , Wang Ye , Ge Xiaoyang , Zhang Chaojun , Zhang Xianlong , Li Fuguang
Published: February 2018

Members of the NF-YB transcription factor gene family play important roles in diverse processes related to plant growth and development, such as seed development, drought tolerance, and flowering time. However, the function of NF-YB genes in cotton remains unclear. A total of 23, 24, and 50 NF-YB genes were identified in Gossypium arboreum (G. arboreum), Gossypium raimondii (G. raimondii), and G. hirsutum, respectively. A systematic phylogenetic analysis was carried out in G. arboretum, G. raimondii, G. hirsutum, Arabidopsis thaliana, cacao, rice and, sorghum, where the 150 NF-YB genes were divided into five groups (α–ε). Of these groups, α is the largest clade, and γ contains the LEC1 type NF-YB proteins. Syntenic analyses revealed that paralogues of NF-YB genes in G. hirsutum exhibited good collinearity. Owing to segmental duplication within the A sub-genome (At) and D sub-genome (Dt), there was an expanded set of NF-YB genes in G. hirsutum. Furthermore, we investigated the structures of exons, introns, and conserved motifs of NF-YB genes in upland cotton. Most of the NF-YB genes had only one exon, and the genes from the same clade exhibited a similar motif pattern. Expression data show that most NF-YB genes were expressed ubiquitously, and only a few genes were highly expressed in specific tissues, as confirmed by quantitative real-time PCR (qRT-PCR) analysis. The overexpression of GhDNF-YB22 gene, predominantly expressed in embryonic tissues, indicates that GhDNF-YB22 may affect embryogenesis in cotton. This study is the first comprehensive characterization of the GhNF-YB gene family in cotton, and showed that NF-YB genes could be divided into five clades. The duplication events that occurred over the course of evolution were the major impetus for NF-YB gene expansion in upland cotton. Collectively, this work provides insight into the evolution of NF-YB in cotton and further our knowledge of this commercially important species.
TS2uRF: A New Method for Sharpening Thermal Infrared Satellite Imagery
Authors: Lillo-Saavedra Mario , García-Pedrero Angel , Merino Gabriel , Gonzalo-Martín Consuelo
Published: February 2018

Thermal infrared (TIR) imagery is normally acquired at coarser pixel resolution than that of shortwave sensors on the same satellite platform. TIR resolution is often not suitable for monitoring crop conditions of fragmented farming lands, e.g., the accurate estimates of evapotranspiration (ET) based on surface energy balance from remote sensing for irrigation water management. Consequently, thermal sharpening techniques have been developed to sharpen TIR imagery to a shortwave band pixel resolution. However, most methods concentrate on the visual effects of the thermal sharpened images, and they treat the pixels as independent samples without considering their spatial context, which can give rise to adverse effects such as artifacts. In this work, a new thermal sharpening method called TS2uRF is proposed. The potential of superpixels (SP) combined with regression random forest (RRF) have been used to augment the spatial resolution of the Landsat 8 TIR (100 m) imagery to their visible (VIS) spatial resolution (30 m). The SP has allowed the contextual information on the land cover to be integrated, and RRF has allowed the relationship between five spectral indices and TIR data to be integrated into a single model. The TIR sharpened images obtained using the TS2uRF were compared with images obtained using the TsHARP, one of the most classic thermal sharpening techniques, evaluating the root-mean-square error (RMSE) and structural similarity index (SSIM) for measuring image quality. In all of the cases evaluated, the RMSE and SSIM of the images sharpened using the TS2uRF method outperform those obtained using TsHARP. In particular, the TS2uRF method has an average error of 1.14 °C (RMSE) lower than TsHARP, regarding SSIM, TS2uRF outperforms TsHARP on average by 0.218 . From the visual comparison, it has been shown that the TS2uRF methodology avoids the artifacts that appear in the enhanced images using the TsHARP method.
Knowledge Reasoning with Semantic Data for Real-Time Data Processing in Smart Factory
Authors: Wang Shiyong , Wan Jiafu , Li Di , Liu Chengliang
Published: February 2018

The application of high-bandwidth networks and cloud computing in manufacturing systems will be followed by mass data. Industrial data analysis plays important roles in condition monitoring, performance optimization, flexibility, and transparency of the manufacturing system. However, the currently existing architectures are mainly for offline data analysis, not suitable for real-time data processing. In this paper, we first define the smart factory as a cloud-assisted and self-organized manufacturing system in which physical entities such as machines, conveyors, and products organize production through intelligent negotiation and the cloud supervises this self-organized process for fault detection and troubleshooting based on data analysis. Then, we propose a scheme to integrate knowledge reasoning and semantic data where the reasoning engine processes the ontology model with real time semantic data coming from the production process. Based on these ideas, we build a benchmarking system for smart candy packing application that supports direct consumer customization and flexible hybrid production, and the data are collected and processed in real time for fault diagnosis and statistical analysis.
Comparison of Ultra-Rapid Orbit Prediction Strategies for GPS, GLONASS, Galileo and BeiDou
Authors: Geng Tao , Zhang Peng , Wang Wei , Xie Xin
Published: February 2018

Currently, ultra-rapid orbits play an important role in the high-speed development of global navigation satellite system (GNSS) real-time applications. This contribution focuses on the impact of the fitting arc length of observed orbits and solar radiation pressure (SRP) on the orbit prediction performance for GPS, GLONASS, Galileo and BeiDou. One full year’s precise ephemerides during 2015 were used as fitted observed orbits and then as references to be compared with predicted orbits, together with known earth rotation parameters. The full nine-parameter Empirical Center for Orbit Determination in Europe (CODE) Orbit Model (ECOM) and its reduced version were chosen in our study. The arc lengths of observed fitted orbits that showed the smallest weighted root mean squares (WRMSs) and medians of the orbit differences after a Helmert transformation fell between 40 and 45 h for GPS and GLONASS and between 42 and 48 h for Galileo, while the WRMS values and medians become flat after a 42 h arc length for BeiDou. The stability of the Helmert transformation and SRP parameters also confirmed the similar optimal arc lengths. The range around 42–45 h is suggested to be the optimal arc length interval of the fitted observed orbits for the multi-GNSS joint solution of ultra-rapid orbits.
UV Absorption Spectroscopy in Water-Filled Antiresonant Hollow Core Fibers for Pharmaceutical Detection
Authors: Nissen Mona , Doherty Brenda , Hamperl Jonas , Kobelke Jens , Weber Karina , Henkel Thomas , Schmidt Markus
Published: February 2018

Due to a worldwide increased use of pharmaceuticals and, in particular, antibiotics, a growing number of these substance residues now contaminate natural water resources and drinking supplies. This triggers a considerable demand for low-cost, high-sensitivity methods for monitoring water quality. Since many biological substances exhibit strong and characteristic absorption features at wavelengths shorter than 300 nm, UV spectroscopy presents a suitable approach for the quantitative identification of such water-contaminating species. However, current UV spectroscopic devices often show limited light-matter interaction lengths, demand sophisticated and bulky experimental infrastructure which is not compatible with microfluidics, and leave large fractions of the sample analyte unused. Here, we introduce the concept of UV spectroscopy in liquid-filled anti-resonant hollow core fibers, with large core diameters and lengths of approximately 1 m, as a means to overcome such limitations. This extended light-matter interaction length principally improves the concentration detection limit by two orders of magnitude while using almost the entire sample volume—that is three orders of magnitude smaller compared to cuvette based approaches. By integrating the fibers into an optofluidic chip environment and operating within the lowest experimentally feasible transmission band, concentrations of the application-relevant pharmaceutical substances, sulfamethoxazole (SMX) and sodium salicylate (SS), were detectable down to 0.1 µM (26 ppb) and 0.4 µM (64 ppb), respectively, with the potential to reach significantly lower detection limits for further device integration.
Dynamic Vertical Mapping with Crowdsourced Smartphone Sensor Data
Authors: Pipelidis Georgios , Moslehi Rad Omid , Iwaszczuk Dorota , Prehofer Christian , Hugentobler Urs
Published: February 2018

In this paper, we present our novel approach for the crowdsourced dynamic vertical mapping of buildings. For achieving this, we use the barometric sensor of smartphones to estimate altitude differences and the moment of the outdoor to indoor transition to extract reference pressure. We have identified the outdoor–indoor transition (OITransition) via the fusion of four different sensors. Our approach has been evaluated extensively over a period of 6 months in different humidity, temperature, and cloud-coverage situations, as well as over different hours of the day, and it is found that it can always predict the correct number of floors, while it can approximate the altitude with an average error of 0.5 m.
Voice-Controlled and Wireless Solid Set Canopy Delivery (VCW-SSCD) System for Mist-Cooling
Authors: Ampatzidis Yiannis , Kiner Josh , Abdolee Reza , Ferguson Louise
Published: February 2018

California growers in the San Joaquin Valley believe that climate change will affect the pistachio yield dramatically. As the central valley fog disappears, insufficient dormant chill accumulation results in poor flowering synchrony, flower quality, and fruit set in this dioecious species. We have developed a novel, user-friendly, and low-cost Voice-Controlled Wireless Solid Set Canopy Delivery (VCW-SSCD) system to increase bud chill accumulation with evaporative cooling on sunny (winter) days. This system includes: (i) an automated solid-state canopy delivery (SSCD) system; (ii) a wireless weather-, crop-related data acquisition system; (iii) a Voice-Controlled (VC) system using Amazon Alexa; (iv) a mobile application to visualize the collected data and wirelessly control the SSCD system; and (v) a smart control system. The proposed system was deployed and evaluated in a commercial pistachio orchard in Bakersfield, CA. The system worked well with no reported errors. Results demonstrated the system’s ability to cool bud temperatures in a low relative humidity climate. At an ambient temperature of 10–20 °C, bud temperatures were lowered 5–10 °C.
An Analysis of the Relationship between Land Use and Weekend Travel: Focusing on the Internal Capture of Trips
Authors: Gim Tae-Hyoung
Published: February 2018

Weekend travel has not been duly considered in academics and practice regarding its relationship with land use. A lack of consideration is notable in terms of how land use internalizes weekend travel. Thus, by separating the internal and external travel of the traffic analysis zone, this study analyzes the land use effect on weekend travel in comparison with that on weekday travel. Two structural equation models, each of which is specified for weekday and weekend travel, construct the same sample and their results become comparable. At the travel variable level, the models find consistent results: Stronger effects are made on internal travel than on external travel and particularly, on trip frequency than on travel time. This implies that compact land use causes a stronger addition of internal trips and a less strong reduction of external trips, that is, changes in destinations rather than in total travel time. At the factor level, unlike the weekday model in which the sociodemographic factor exerts a stronger effect, the weekend model presents that land use more strongly affects travel patterns. This magnitude difference is explained by the different flexibility of compulsory weekday travel and discretionary weekend travel in relation to the choice of trip destination and frequency.
The Biology of Monocytes and Dendritic Cells: Contribution to HIV Pathogenesis
Authors: Wacleche Vanessa , Tremblay Cécile , Routy Jean-Pierre , Ancuta Petronela
Published: February 2018

Myeloid cells such as monocytes, dendritic cells (DC) and macrophages (MΦ) are key components of the innate immune system contributing to the maintenance of tissue homeostasis and the development/resolution of immune responses to pathogens. Monocytes and DC, circulating in the blood or infiltrating various lymphoid and non-lymphoid tissues, are derived from distinct bone marrow precursors and are typically short lived. Conversely, recent studies revealed that subsets of tissue resident MΦ are long-lived as they originate from embryonic/fetal precursors that have the ability to self-renew during the life of an individual. Pathogens such as the human immunodeficiency virus type 1 (HIV-1) highjack the functions of myeloid cells for viral replication (e.g., MΦ) or distal dissemination and cell-to-cell transmission (e.g., DC). Although the long-term persistence of HIV reservoirs in CD4+ T-cells during viral suppressive antiretroviral therapy (ART) is well documented, the ability of myeloid cells to harbor replication competent viral reservoirs is still a matter of debate. This review summarizes the current knowledge on the biology of monocytes and DC during homeostasis and in the context of HIV-1 infection and highlights the importance of future studies on long-lived resident MΦ to HIV persistence in ART-treated patients.
Impact of RNA Degradation on Viral Diagnosis: An Understated but Essential Step for the Successful Establishment of a Diagnosis Network
Authors: Relova Damarys , Rios Liliam , Acevedo Ana , Coronado Liani , Perera Carmen , Pérez Lester
Published: February 2018

The current global conditions, which include intensive globalization, climate changes, and viral evolution among other factors, have led to an increased emergence of viruses and new viral diseases; RNA viruses are key drivers of this evolution. Laboratory networks that are linked to central reference laboratories are required to conduct both active and passive environmental surveillance of this complicated global viral environment. These tasks require a continuous exchange of strains or field samples between different diagnostic laboratories. The shipment of these samples on dry ice represents both a biological hazard and a general health risk. Moreover, the requirement to ship on dry ice could be hampered by high costs, particularly in underdeveloped countries or regions located far from each other. To solve these issues, the shipment of RNA isolated from viral suspensions or directly from field samples could be a useful way to share viral genetic material. However, extracted RNA stored in aqueous solutions, even at −70 °C, is highly prone to degradation. The current study evaluated different RNA storage conditions for safety and feasibility for future use in molecular diagnostics. The in vitro RNA-transcripts obtained from an inactivated highly pathogenic avian influenza (HPAI) H5N1 virus was used as a model. The role of secondary structures in the protection of the RNA was also explored. Of the conditions evaluated, the dry pellet matrix was best able to protect viral RNA under extreme storage conditions. This method is safe, cost-effective and assures the integrity of RNA samples for reliable molecular diagnosis. This study aligns with the globally significant “Global One Health” paradigm, especially with respect to the diagnosis of emerging diseases that require confirmation by reference laboratories.
Impacts of Climate Change and Land Subsidence on Inundation Risk
Authors: Chen Ching-Nuo , Tfwala Samkele
Published: February 2018

In this study, a physiographic drainage-inundation model was used to analyse the impacts of land subsidence and climate change on inundation disaster and risk in a land subsidence area. The results indicated that for land subsidence and land subsidence combined with climate change, inundation area, and volume increased under one- and two-day storms for 2-, 5-, 10-, 25-, 50-, 100-, and 200-year return periods. Moreover, locations that originally had high inundation depth showed even greater inundated areas and volumes in the presence of land subsidence. The inundation phenomenon under the combination of land subsidence and climate change proved to be severe, compared to that of land subsidence alone. Land subsidence increased not only inundation depth but also inundation duration. Given land subsidence and climate change, the average inundation duration for each return period increased. The average flooding duration for each return period post land subsidence was found to be 1.05–1.1 times greater than that preceding it. Under the combination of land subsidence and climate change, the average flooding duration for each return period post land subsidence was about 1.13–1.27 times greater than that before it. Furthermore, by assessing inundation risk with inundation depth index, inundation duration index, and damage index from different land uses, it was found that after land subsidence, inundation risk showed an increase, which was amplified in the presence of land subsidence combined with climate change.
Propofol Inhibits Lung Cancer A549 Cell Growth and Epithelial‐Mesenchymal Transition Process by Upregulation of MicroRNA-1284
Authors: Liu Wei-Zhen , Liu Nian
Published: February 2018

Propofol has been widely used in lung cancer resections. Some studies have demonstrated that the effects of propofol might be mediated by microRNAs (miRNAs). This study aimed to investigate the effects and mechanisms of propofol on lung cancer cells by regulation of miR-1284. A549 cells
were treated with different concentrations of propofol, while transfected with miR-1284 inhibitor, si-FOXM1, and their negative controls. Cell viability, migration, and invasion, and the expression of miR-1284, FOXM1, and epithelial‐mesenchymal transition (EMT) factors were detected
by CCK-8, Transwell, qRT-PCR, and Western blot assays, respectively. In addition, the regulatory and binding relationships among propofol, miR-1284, and FOXM1 were assessed, respectively. Results showed that propofol suppressed A549 cell viability, migration, and invasion, upregulated E-cadherin,
and downregulated N-cadherin, vimentin, and Snail expressions. Moreover, propofol significantly promoted the expression of miR-1284. miR-1284 suppression abolished propofol-induced decreases of cell viability, migration, and invasion, and increased FOXM1 expression and the luciferase activity
of FOXM1-wt. Further, miR-1284 negatively regulated FOXM1 expression. FOXM1 knockdown reduced cell viability, migration, and invasion by propofol treatment plus miR-1284 suppression. In conclusion, our study indicated that propofol could inhibit cell viability, migration, invasion, and the
EMT process in lung cancer cells by regulation of miR-1284.
Potentials of a biogenic residue-based production ofHermetia illucens as fish meal replacement in aquafeed forOncorhynchus mykiss in Germany
Authors: Rumpold B.A. , Speckmann H. , Schlüter O. , Kloas W. , Prochnow A.
Published: February 2018

Owing to an increasing world population and a rising demand in protein for food and feed, alternative protein sources are needed. In addition, existing food and protein supplies such as wild and farmed fish need to be secured. Insects and more specifically the black soldier fly (BSF;Hermetia illucens) larvae, are discussed as an alternative animal protein source and a potential fish meal (FM) replacer in aquaculture. They can be sustainably reared on biogenic residues. In a literature study, the technical potential of occurring biogenic residues in Germany for the production of BSF larvae is estimated and their suitability as a FM replacement in aquafeed for the production of rainbow trout is evaluated. According to literature, up to 50% of FM can be substituted by BSF larvae meal in the feed of rainbow trout. For the annual German rainbow trout production of 8,466 t, 2,699 t BSF larvae meal (40.7% protein d.m.) is required to replace 1,556 t FM (70.9% protein d.m.). The demand for biogenic residues to feed the BSF larvae amounts to 22,942 t (d.m.). A large amount of biogenic residues occurring in Germany, such as forestry residues, animal excrements, straw and the biogenic fraction of municipal waste, have too poor nutrient contents or are inapplicable due to legal restrictions as feed for farmed animals. However, an alternative utilisation of approximately 1.26 Mt (d.m.) of biogenic industrial residues by far exceeds the demand for BSF larvae feed. Further investigations are needed on the environmental impact and profitability of using biogenic residues for BSF larvae production and competing utilisation pathways as well as of using resulting BSF larvae meal as FM replacement in feed for rainbow trout.

Graphical abstract – Annual technical potential of a biogenic residue-based production of black soldier fly (BSF) larvae as aquafeed for farmed rainbow trout in Germany (M = million, based on dry weight unless indicated otherwise).
Multilayer Adsorption of Purple NR5 Industrial Dye by Aristeus antennautus Shell in Aqueous Solution
Authors: Benchekor Hassiba , Iddou Abdelkader , Hentit Hafida , Aziz Abdallah , Piccin Jeferson Steffanello
Published: February 2018

In this work, chitin-based material has been proposed for removing the purple NR5 dye in aqueous solution. The material chosen is from shrimp shell: Aristeus antennautus. This biomaterial is used as a raw form. The adsorption isotherms obtained showed a behavior of L3a indicating the passage of monolayer to multilayer adsorption. The results are well correlated with the BET model, (R²>0.99). And the maximum monolayer adsorption capacity was found to be 667.33 mg/g. The kinetic data were evaluated using pseudo first order, pseudo second order and the intraparticle diffusion models. The chemical nature of the biomaterial is confirmed by Fourier Transform infrared spectroscopy (FTIR).
Pelletizing of Bark Residue Resulting from Debarking of Softwood Trees
Authors: Andersone Anna , Arshanitsa Alexandr , Solodovniks Valentins , Kampars Valdis
Published: February 2018

Debarking is an essential part in the technology of round timber processing. The volume of bark going to waste annually is millions of cubic metres, therefore the use of bark as an underexploited renewable source is of increasing importance. Pelletization is one of the recognized methods for increasing the bulk and energy densities of plant biomass, and respectively improving its value as a fuel. Plant biomass pellets are the only solid fuel that have a global constantly growing market. In this work the bark obtained after softwood trees debarking for the pulp manufacture was studied in terms of fuel pellets production feasibility. The fuel characteristics, including elemental composition, ash content, calorific values and other parameters required for fuel pellets standards were determined. The laboratory flat die pellet mill KAHL 14-175 was applied for pelletizing study. The study showed that using floatation process for purification / fractionation of bark batch under study, 86% of bark residue become suitable for obtaining of fuel granules quality of which meet the demand of EN 14961-2B European standard for non-industrial and industrial fuel pellets.