Recognition of Targets in SAR Images Based on a WVV Feature Using a Subset of Scattering Centers.

This paper proposes a robust method for feature-based matching with potential for application to synthetic aperture radar (SAR) automatic target recognition (ATR). The scarcity of measured SAR data available for training classification algorithms leads to the replacement of such data with synthetic data. As attributed scattering centers (ASCs) extracted from the SAR image reflect the electromagnetic phenomenon of the SAR target, this is effective for classifying targets when purely synthetic SAR images are used as the template. In the classification stage, following preparation of the extracted template ASC dataset, some of the template ASCs were subsampled by the amplitude and the neighbor matching algorithm to focus on the related points of the test ASCs. Then, the subset of ASCs were reconstructed to the world view vector feature set, considering the point similarity and structure similarity simultaneously. Finally, the matching scores between the two sets were calculated using weighted bipartite graph matching and then combined with several weights for overall similarity. Experiments on synthetic and measured paired labeled experiment datasets, which are publicly available, were conducted to verify the effectiveness and robustness of the proposed method. The proposed method can be used in practical SAR ATR systems trained using simulated images.

Unique clade of alphaproteobacterial endosymbionts induces complete cytoplasmic incompatibility in the coconut beetle.

Maternally inherited bacterial endosymbionts in arthropods manipulate host reproduction to increase the fitness of infected females. Cytoplasmic incompatibility (CI) is one such manipulation, in which uninfected females produce few or no offspring when they mate with infected males. To date, two bacterial endosymbionts, Wolbachia and Cardinium, have been reported as CI inducers. Only Wolbachia induces complete CI, which causes 100% offspring mortality in incompatible crosses. Here we report a third CI inducer that belongs to a unique clade of Alphaproteobacteria detected within the coconut beetle, Brontispa longissima This beetle comprises two cryptic species, the Asian clade and the Pacific clade, which show incompatibility in hybrid crosses. Different bacterial endosymbionts, a unique clade of Alphaproteobacteria in the Pacific clade and Wolbachia in the Asian clade, induced bidirectional CI between hosts. The former induced complete CI (100% mortality), whereas the latter induced partial CI (70% mortality). Illumina MiSeq sequencing and denaturing gradient gel electrophoresis patterns showed that the predominant bacterium detected in the Pacific clade of B. longissima was this unique clade of Alphaproteobacteria alone, indicating that this endosymbiont was responsible for the complete CI. Sex distortion did not occur in any of the tested crosses. The 1,160 bp of 16S rRNA gene sequence obtained for this endosymbiont had only 89.3% identity with that of Wolbachia, indicating that it can be recognized as a distinct species. We discuss the potential use of this bacterium as a biological control agent.

Treg induction by a rationally selected mixture of Clostridia strains from the human microbiota.

Manipulation of the gut microbiota holds great promise for the treatment of inflammatory and allergic diseases. Although numerous probiotic microorganisms have been identified, there remains a compelling need to discover organisms that elicit more robust therapeutic responses, are compatible with the host, and can affect a specific arm of the host immune system in a well-controlled, physiological manner. Here we use a rational approach to isolate CD4(+)FOXP3(+) regulatory T (Treg)-cell-inducing bacterial strains from the human indigenous microbiota. Starting with a healthy human faecal sample, a sequence of selection steps was applied to obtain mice colonized with human microbiota enriched in Treg-cell-inducing species. From these mice, we isolated and selected 17 strains of bacteria on the basis of their high potency in enhancing Treg cell abundance and inducing important anti-inflammatory molecules--including interleukin-10 (IL-) and inducible T-cell co-stimulator (ICOS)--in Treg cells upon inoculation into germ-free mice. Genome sequencing revealed that the 17 strains fall within clusters IV, XIVa and XVIII of Clostridia, which lack prominent toxins and virulence factors. The 17 strains act as a community to provide bacterial antigens and a TGF-ß-rich environment to help expansion and differentiation of Treg cells. Oral administration of the combination of 17 strains to adult mice attenuated disease in models of colitis and allergic diarrhoea. Use of the isolated strains may allow for tailored therapeutic manipulation of human immune disorders.

Nonvolatile Memory (NVM) Operation of Tunnel Field-Effect Transistor (TFET) Using Ferroelectric HfO2 Sidewall.

In this paper, we propose a new type of nonvolatile memory (NVM) device based on a tunnel field-effect transistor (TFETs) with Ferroelectric HfO2 sidewall. By simply utilizing the ferroelectricity of orthorhombic HfO2 and conventional sidewall spacer technique, TFET can operate as a NVM device. The polarized charges in the ferroelectric HfO2 spacer induced by program/erase pulse modulate the tunneling barrier between the source and channel; thus, change the threshold voltage (Vt) of TFET. The proposed NVM TFET has lower subthreshold swing (SS) and higher on/off ratio than conventional NVM TFETs while maintaining equivalent program/erase efficiency. Further-more, we also investigate the optimal HfO2 sidewall formation conditions to achieve higher NVM performances.

Transient Analysis of Tunnel Field-Effect Transistor with Raised Drain.

This paper investigates the electrical performance of a proposed tunnel field-effect transistor (TFET) via transient analysis. The proposed TFET has three features: a SiGe channel, a fin structure, and an elevated drain. As the SiGe channel and fin structure make a small tunnel resistance, the ONstate current can be increased. In addition, an elevated drain can suppress an ambipolar current (IAMB). The transient characteristics should be confirmed in terms of inverter switching for the high applicability of the proposed device to the logical circuit. The analysis is verified through technology computer-aided design (TCAD) simulations calibrated with rigorously fabricated devices. Based on the simulation results, we conclude that the proposed TFET shows better ON/OFF transient characteristics when compared to conventional TFETs and the small gate-to-drain capacitance (CGD) can improve the transient characteristics in TFET.

Tunnel Field Effect Transistor with Ferroelectric Gate Insulator.

Ferroelectric tunnel field effect transistor (Fe-TFET) having improved DC performance in comparison to the conventional TFET (c-TFET) is proposed and investigated through the technology computer-aided design (TCAD) simulation. By inserting ferroelectric material into the gate insulator of TFET, enhanced on-current (Ion) is obtained. It is attributed to the polarization characteristic of the ferroelectric materials which brings the capacitance boosting effect. Through the TCAD simulation, the characteristics of the ferroelectric material for the optimal performance conditions are also studied.

Compact Potential Model for Si1-xGex/Si Heterojunction Double-Gate Tunnel Field-Effect Transistors (TFETs).

In this manuscript, the compact potential model for double-gate (DG) Si1-xGex/Si heterojunction tunnel field-effect transistors (TFETs) is proposed by adopting several strategies to the previous model. Compared with the control model, the enhanced model can describe the effects of additional parameters such as electron permittivity and Si1-xGex affinity, doping dependent bandgap narrowing, temperature, built-in potential change due to degenerately doping condition and energy band off-sets. The model accuracy is examined by benchmarking against to the technology computeraided design (TCAD) device simulations in terms of electrostatic potential profiles, band diagrams and minimum tunneling barrier width (Wt, min). As a result, the enhanced model accurately describes Wt, min in various gate voltages with different Ge mole fractions and gate oxide thicknesses. The DG heterojunction TFETs are regarded as one of the most promising successors to metal-oxide-semiconductor FETs (MOSFETs) as ultra-low-power logic devices, due to their high compatibility with complementary MOS (CMOS)-based integrated circuits (ICs) in terms of structures, materials and fabrication processes. The proposed enhanced model is expected to contribute for examining the TFETs circuit operation as well as understanding device physics, in depth, to extend Moore's Law.

A 1T Dynamic Random Access Memory Cell Based on Gated Thyristor with Surrounding Gate Structure for High Scalability.

In this study, we investigate a one-transistor (1T) dynamic random access memory (DRAM) cell based on a gated-thyristor device utilizing voltage-driven bistability to enable high-speed operations. The structural feature of the surrounding gate using a sidewall provides high scalability with regard to constructing an array architecture of the proposed devices. In addition, the operation mechanism, I-V characteristics, DRAM operations, and bias dependence are analyzed using a commercial device simulator. Unlike conventional 1T DRAM cells utilizing the floating body effect, excess carriers which are required to be stored to make two different states are not generated but injected from the n+ cathode region, giving the device high-speed operation capabilities. The findings here indicate that the proposed DRAM cell offers distinct advantages in terms of scalability and high-speed operations.

Volatile and Nonvolatile Characteristics of Asymmetric Dual-Gate Thyristor RAM with Vertical Structure.

In this paper, the volatile and nonvolatile characteristics of asymmetric dual-gate thyristor random access memory (TRAM) are investigated using the technology of a computer-aided design (TCAD) simulation. Owing to the use of two independent gates having different gate dielectric layers, volatile and nonvolatile memory functions can be realized in a single device. The first gate with a silicon oxide layer controls the one-transistor dynamic random access memory (1T-DRAM) characteristics of the device. From the simulation results, a rapid write speed (<8 ns) and a large on-off current ratio (>107) can be achieved. The second gate, whose dielectric material is composed of oxide/nitride/oxide (O/N/O) layers, is used to implement the nonvolatile property by trapping charges in the nitride layer. In addition, this offers an advantage when processing the 3D-stack memory application, as the device has a vertical channel structure with polycrystalline silicon.

Floating body effect in indium-gallium-zinc-oxide (IGZO) thin-film transistor (TFT).

In this paper, the floating body effect (FBE) in indium-gallium-zinc-oxide (IGZO) thin-film transistor (TFT) and the mechanism of device failure caused by that are reported for the first time. If the toggle AC pulses are applied to the gate and drain simultaneously for the switching operation, the drain current of IGZO TFT increases dramatically and cannot show the on/off switching characteristics. This phenomenon was not reported before, and our study reveals that the main cause is the formation of a conductive path between the source and drain: short failure. It is attributed in part to the donor creation at the drain region during the high voltage (Vhigh) condition and in part to the donor creation at the source region during the falling edge and low voltage (Vlow) conditions. Donor creation is attributed to the peroxide formation in the IGZO layer induced by the electrons under the high lateral field. Because the donor creation features positive charges, it lowers the threshold voltage of IGZO TFT. In detail, during the Vhigh condition, the donor creation is generated by accumulated electrons with a high lateral field at the drain region. On the other hand, the floating electrons remaining at the short falling edge (i.e., FBE of the IGZO TFT) are affected by the high lateral field at the source region during the Vlow condition. As a result, the donor creation is generated at the source region. Therefore, the short failure occurs because the donor creations are generated and expanded to channel from the drain and source region as the AC stress accumulates. In summary, the FBE in IGZO TFT is reported, and its effect on the electrical characteristics of IGZO TFT (i.e., the short failure) is rigorously analyzed for the first time.

Development of a chub mackerel with less-aggressive fry stage by genome editing of arginine vasotocin receptor V1a2.

Genome editing is a technology that can remarkably accelerate crop and animal breeding via artificial induction of desired traits with high accuracy. This study aimed to develop a chub mackerel variety with reduced aggression using an experimental system that enables efficient egg collection and genome editing. Sexual maturation and control of spawning season and time were technologically facilitated by controlling the photoperiod and water temperature of the rearing tank. In addition, appropriate low-temperature treatment conditions for delaying cleavage, shape of the glass capillary, and injection site were examined in detail in order to develop an efficient and robust microinjection system for the study. An arginine vasotocin receptor V1a2 (V1a2) knockout (KO) strain of chub mackerel was developed in order to reduce the frequency of cannibalistic behavior at the fry stage. Video data analysis using bioimage informatics quantified the frequency of aggressive behavior, indicating a significant 46% reduction (P = 0.0229) in the frequency of cannibalistic behavior than in wild type. Furthermore, in the V1a2 KO strain, the frequency of collisions with the wall and oxygen consumption also decreased. Overall, the manageable and calm phenotype reported here can potentially contribute to the development of a stable and sustainable marine product.

Advenella faeciporci sp. nov., a nitrite-denitrifying bacterium isolated from nitrifying-denitrifying activated sludge collected from a laboratory-scale bioreactor treating piggery wastewater.

Strain M-07(T) was isolated from nitrifying-denitrifying activated sludge treating piggery wastewater. Phylogenetic analysis based on 16S rRNA gene sequences demonstrated that strain M-07(T) belonged to the genus Advenella. 16S rRNA gene sequence similarity between M-07(T) and Advenella incenata CCUG 45225(T), Advenella mimigardefordensis DPN7(T) and Advenella kashmirensis WT001(T) was 96.5, 97.3 and 96.9%, respectively. The DNA G+C content of strain M-07(T) was 49.5 mol%, which was approximately 5 mol% lower than the range for the genus Advenella (53.5-58.0 mol%). The predominant cellular fatty acids of strain M-07(T) were C(16:0), summed feature 3 (comprising C(16:1)ω7c and/or iso-C(15:0) 2-OH), C(17:0) cyclo and summed feature 2 (comprising one or more of C(14:0) 3-OH, iso-C(16:1) I, an unidentified fatty acid with an equivalent chain-length of 10.928 and C(12:0) alde). The isoprenoid quinone was Q-8. On the basis of phenotypic characteristics, phylogenetic analysis and DNA-DNA relatedness, strain M-07(T) should be classified as a novel species of the genus Advenella, for which the name Advenella faeciporci sp. nov. is proposed. The type strain is M-07(T) ( = JCM 17746(T)  = KCTC 23732(T)).

Space geodesy: subsidence and flooding in New Orleans.

It has long been recognized that New Orleans is subsiding and is therefore susceptible to catastrophic flooding. Here we present a new subsidence map for the city, generated from space-based synthetic-aperture radar measurements, which reveals that parts of New Orleans underwent rapid subsidence in the three years before Hurricane Katrina struck in August 2005. One such area is next to the Mississippi River-Gulf Outlet (MRGO) canal, where levees failed during the peak storm surge: the map indicates that this weakness could be explained by subsidence of a metre or more since their construction.

Survival of the aerobic denitrifier Pseudomonas stutzeri strain TR2 during co-culture with activated sludge under denitrifying conditions.

The aerobic denitrifier Pseudomonas stutzeri TR2 (strain TR2) has the potential to reduce nitrous oxide emissions during the wastewater treatment process. In this application, it is important to find the best competitive survival conditions for strain TR2 in complex ecosystems. To that end, we examined co-cultures of strain TR2 with activated sludge via five passage cultures in a medium derived from treated piggery wastewater that contained a high concentration of ammonium. The results are as follows: (i) The medium supported the proliferation of strain TR2 (P. stutzeri strains) under denitrifying conditions. (ii) Nitrite was a better denitrification substrate than nitrate for TR2 survival. (iii) Strain TR2 also demonstrated strong survival even under aerobic conditions. This suggests that strain TR2 is effectively augmented to the wastewater treatment process, aiding in ammonium-nitrogen removal and reducing nitrous oxide production with a partial nitrification technique in which nitrite accumulates.

Functional analysis and subcellular location of two flavohemoglobins from Aspergillus oryzae.

Multiple flavohemoglobin (FHb) homolog genes are found in the genomes of eukaryotic microorganisms, but their functions remain unknown. In this study, two distinct types of FHbs (predictive cytosolic FHb1 and predictive mitochondrial FHb2) from the fungus Aspergillus oryzae were investigated to elucidate the physiological roles of these FHbs. The fhb1 gene responded to external nitric oxide (NO) stress at the transcriptional level, whereas the fhb2 gene did not. Disrupting fhb1 increased cell hypersensitivity to NO stress, whereas deficiency of the fhb2 gene had no effect on phenotype compared to the wild-type strain. By fusing GFP protein to FHbs, we determined that FHb1 and FHb2 are located in the cytosol and mitochondria, respectively. In the wild-type strain, the transcriptional level of the fhb2 gene was too low to be detected, but its expression was detectable in the NirK (mitochondrial copper-containing dissimilatory nitrite reductase) overexpression strain (AoHnirK), which showed a significantly higher denitrification capability than that shown by the wild-type strain. The induction of the fhb2 gene in the AoHnirK strain may be due to the abundance of NO produced by overexpressed NirK in the mitochondria. These results suggest that FHb1 and FHb2 may play a role in protecting cells from external and internal NO stress, respectively.

Demystifying uncertainty in PM10 susceptibility mapping using variable drop-off in extreme-gradient boosting (XGB) and random forest (RF) algorithms.

This study investigates uncertainty in machine learning that can occur when there is significant variance in the prediction importance level of the independent variables, especially when the ROC fails to reflect the unbalanced effect of prediction variables. A variable drop-off loop function, based on the concept of early termination for reduction of model capacity, regularization, and generalization control, was tested. A susceptibility index for airborne particulate matter of less than 10 µm diameter (PM10) was modeled using monthly maximum values and spectral bands and indices from Landsat 8 imagery, and Open Street Maps were used to prepare a range of independent variables. Probability and classification index maps were prepared using extreme-gradient boosting (XGBOOST) and random forest (RF) algorithms. These were assessed against utility criteria such as a confusion matrix of overall accuracy, quantity of variables, processing delay, degree of overfitting, importance distribution, and area under the receiver operating characteristic curve (ROC).

Spatial identification and temporal prediction of air pollution sources using conditional bivariate probability function and time series signature.

Accurate identification of distant, large, and frequent sources of emission in cities is a complex procedure due to the presence of large-sized pollutants and the existence of many land use types. This study aims to simplify and optimize the visualization mechanism of long time-series of air pollution data, particularly for urban areas, which is naturally correlated in time and spatially complicated to analyze. Also, we elaborate different sources of pollution that were hitherto undetectable using ordinary plot models by leveraging recent advances in ensemble statistical approaches. The high performing conditional bivariate probability function (CBPF) and time-series signature were integrated within the R programming environment to facilitate the study's analysis. Hourly air pollution data for the period between 2007 to 2016 is collected using four air quality stations, (ca0016, ca0058, ca0054, and ca0025), situated in highly urbanized locations that are characterized by complex land use and high pollution emitting activities. A conditional bivariate probability function (CBPF) was used to analyze the data, utilizing pollutant concentration values such as Sulfur dioxide (SO2), Nitrogen oxides (NO2), Carbon monoxide (CO) and Particulate Matter (PM10) as a third variable plotted on the radial axis, with wind direction and wind speed variables. Generalized linear model (GLM) and sensitivity analysis are applied to verify and visualize the relationship between Air Pollution Index (API) of PM10 and other significant pollutants of GML outputs based on quantile values. To address potential future challenges, we forecast 3 months PM10 values using a Time Series Signature statistical algorithm with time functions and validated the outcome in the 4 stations. Analysis of results reveals that sources emitting PM10 have similar activities producing other pollutants (SO2, CO, and NO2). Therefore, these pollutants can be detected by cross selection between the pollution sources in the affected city. The directional results of CBPF plot indicate that ca0058 and ca0054 enable easier detection of pollutants' sources in comparison to ca0016 and ca0025 due to being located on the edge of industrial areas. This study's CBPF technique and time series signature analysis' outcomes are promising, successfully elaborating different sources of pollution that were hitherto undetectable using ordinary plot models and thus contribute to existing air quality assessment and enhancement mechanisms.

Aspergillus oryzae flavohemoglobins promote oxidative damage by hydrogen peroxide.

Apart from their well-established role in nitric oxide detoxification, flavohemoglobins (FHbs) are also believed to be involved in protection against oxidative stress in some yeast and bacteria. However, different studies have reported contradictory results in this regard. Here, we investigate the relationship between two FHbs in Aspergillus oryzae (cytosolic FHb1 and mitochondrial FHb2) and oxidative stress. The strains deficient in the two FHbs exhibited higher resistance to hydrogen peroxide than the wild-type. In addition, the FHb2 overexpression strain showed hypersensitivity to hydrogen peroxide. Flavin reductase accompanied by the ferric reductase activities of the two FHbs were observed in correspondence with this expression. The reductase activities of the FHbs were attributed to their C-terminal flavin reductase domains. The reduced intracellular free iron can subsequently promote oxidative damage by accelerating the Fenton reaction in the cytosol and mitochondria (corresponding to the subcellular localizations of the two FHbs). This study is the first to show that fungal FHbs have a deleterious effect on oxidative protection, and suggests that the accelerated Fenton reaction induced by FHbs might be responsible for this effect.

Potential of aerobic denitrification by Pseudomonas stutzeri TR2 to reduce nitrous oxide emissions from wastewater treatment plants.

In contrast to most denitrifiers studied so far, Pseudomonas stutzeri TR2 produces low levels of nitrous oxide (N(2)O) even under aerobic conditions. We compared the denitrification activity of strain TR2 with those of various denitrifiers in an artificial medium that was derived from piggery wastewater. Strain TR2 exhibited strong denitrification activity and produced little N(2)O under all conditions tested. Its growth rate under denitrifying conditions was near comparable to that under aerobic conditions, showing a sharp contrast to the lower growth rates of other denitrifiers under denitrifying conditions. Strain TR2 was tolerant to toxic nitrite, even utilizing it as a good denitrification substrate. When both nitrite and N(2)O were present, strain TR2 reduced N(2)O in preference to nitrite as the denitrification substrate. This bacterial strain was readily able to adapt to denitrifying conditions by expressing the denitrification genes for cytochrome cd(1) nitrite reductase (NiR) (nirS) and nitrous oxide reductase (NoS) (nosZ). Interestingly, nosZ was constitutively expressed even under nondenitrifying, aerobic conditions, consistent with our finding that strain TR2 preferred N(2)O to nitrite. These properties of strain TR2 concerning denitrification are in sharp contrast to those of well-characterized denitrifiers. These results demonstrate that some bacterial species, such as strain TR2, have adopted a strategy for survival by preferring denitrification to oxygen respiration. The bacterium was also shown to contain the potential to reduce N(2)O emissions when applied to sewage disposal fields.