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Compared to extremely high efficiencies achieved by their normal mesoscopic counterparts, significant improvement in those of inverted mesoporous perovskite solar cells (PSCs) has yet to be made. The incorporation of plasmonic nanostructures into mesoporous films has been reported to improve their optoelectronic properties through plasmon resonance effects. Herein, gold nanoparticles coated with a thin layer of a semiconductor (NiOx) are introduced into a mesoporous NiOx layer. Using illumination-dependent characterization, we identify a plasmon-assisted metal-to-semiconductor charge transfer (PACT) mechanism. The hole injection from the Au core into the NiOx shell is not only achieved in the dark due to the ohmic contact nature at the Au@NiOx heterostructure, but also facilitated under illumination due to the plasmon-induced interfacial processes. The charge transfer is observed to substantially downshift the valence band edge and enhance the photoconductivity, as well as favor trap filling of the mesoporous NiOx film, which can lower the effective energy barrier and facilitate hole extraction in PSCs. Consequently, embedding Au@NiOx into the mesoporous layer elevates all of the device parameters simultaneously, with a power conversion efficiency of 20.6% in inverted mesostructured PSCs. These results advance our physical understanding of metal–semiconductor heterostructures and offer additional strategies for manipulating the carrier dynamics of PSCs.

Intracellular phosphorus (P) accumulation can improve microalgal growth and lipid synthesis. However, large excess of P causes cell poisoning. This study utilized a P-fed-batch strategy to investigate its potential to improve the utilization of the excessive P, while avoiding toxic side effects. This strategy contributed to a more complete utilization of the intracellularly stored P, which enhanced the microalgae biomass by 10-15% by upregulating the brassinosteroid growth hormone gene at a P-fed-batch frequency of 2-8. Furthermore, the lipid content increased by 4-16% via upregulation of lipid synthesis-related genes. As a result, the P-fed-batch strategy significantly increased the lipid production by 13-19%. The content of saturated fatty acid increased by ~ 100%, implying improved combustibility and oxidative stability. This is the first study of this P-fed-batch strategy and provides a new concept for the complete utilization of excessive P.

Introgressing one-eighth of synthetic hexaploid wheat genome through a double top-cross plus a two-phase selection is an effective strategy to develop high-yielding wheat varieties. The continued expansion of the world population and the likely onset of climate change combine to form a major crop breeding challenge. Genetic advances in most crop species to date have largely relied on recombination and reassortment within a relatively narrow gene pool. Here, we demonstrate an efficient wheat breeding strategy for improving yield potentials by introgression of multiple genomic regions of de novo synthesized wheat. The method relies on an initial double top-cross (DTC), in which one parent is synthetic hexaploid wheat (SHW), followed by a two-phase selection procedure. A genotypic analysis of three varieties (Shumai 580, Shumai 969 and Shumai 830) released from this program showed that each harbors a unique set of genomic regions inherited from the SHW parent. The first two varieties were generated from very small populations, whereas the third used a more conventional scale of selection since one of bread wheat parents was a pre-breeding material. The three varieties had remarkably enhanced yield potential compared to those developed by conventional breeding. A widely accepted consensus among crop breeders holds that introducing unadapted germplasm, such as landraces, as parents into a breeding program is a risky proposition, since the size of the breeding population required to overcome linkage drag becomes too daunting. However, the success of the proposed DTC strategy has demonstrated that novel variation harbored by SHWs can be accessed in a straightforward, effective manner. The strategy is in principle generalizable to any allopolyploid crop species where the identity of the progenitor species is known.

A high phosphorus concentration is widely accepted as favorable for enhancing both microalgae growth and lipid accumulation; however, excessively high P could be counter-productive. In this study, we investigated the effects of increasing P levels (5.4, 25, 45, 150, and 250 mg-P L−1) on the heterotrophic cultivation of Chlorella regularis. Microalgae growth was inhibited and cells were severely damaged in response to highly excessive P levels (≥150 mg-P L−1). In particular, 250 mg-P L−1 resulted in a ∼40% decrease in cell density and a ∼70% loss of cell viability. Microalgae damage induced by excessive phosphorus included enlarged cell size, deformation of cell walls, and disorganization of organelles. These negative effects were associated with the over-accumulation of polyphosphates within cells, which may further cause binding of P to intracellular components. Although P is an essential nutrient, excessive P lowers cell growth and viability.

To investigate the role of granular activated carbon (GAC) on nitrogen removal performance of elemental sulfur-based constructed wetlands (S0-based CWs), three systems were constructed according to the different configurations in the functional layer, namely S-CW (S0 added in the functional layer), CSC-CW (GAC, S0 and GAC placed in layers in the functional layer) and SC-CW (S0 and GAC mixed evenly in the functional layer). In CSC-CW and SC-CW, the volumetric ratio of S0:GAC was 9:1. Three CWs were operated under four different hydraulic retention times (HRTs) ranged from 48 h to 6 h. Over the experiment, total inorganic nitrogen (TIN) removal rates of the three CWs were 3.1 – 23.6 g m−2 d−1, 3.5 – 24.1 g m−2 d−1 and 3.4 – 11.5 g m−2 d−1, respectively; CSC-CW remained high TIN removal efficiency (from 74.7 ± 20.2 % to 93.4 ± 1.9 %) while SC-CW had significant lower values when HRT = 6 h (29.8 ± 30.1 %). Mass balance and high-throughput sequencing analysis revealed that mixotrophic denitrification at the sulfur layer and simultaneous nitrification-denitrification (SND) at the rhizosphere played the major role in N removal from CSC-CW (> 95 %). GAC addition facilitated the growth of Iris pseudacorus with the final fresh weight increased from 33.9 gFW ind−1 to 82.3 gFW ind−1 in CSC-CW and 82.7 gFW ind−1 in SC-CW. This study optimizes the practical application of S0-based CWs amended with GAC for N removal from carbon-limited wastewater.

This study aims to explore the application of sulfur-based constructed wetlands (CWs) for effective nitrogen (N) removal from wastewater. Two solid sulfur sources namely elemental sulfur (S0) and pyrite (FeS2) were used as substrates in two CWs, i.e. S-CW and P-CW, respectively. The CWs were vegetated with a common wetland plant Iris pseudacorus, and were operated to investigate the effects of hydraulic retention time (HRT) and temperature on N removal. The use of S0 resulted in the highest denitrification rate (19.0 ± 7.5 g m−2 d−1), whereas up to 20 times slower total inorganic nitrogen (TIN) removal was observed with FeS2. Different sulfur sources had negligible effects on the growth of I. pseudacorus, but the element contents (e.g., N, S, and P) within the plant tissues were different. Iris roots in S-CW had higher S content compared with those in P-CW, which resulted in the difference in shoots colors. The characteristics of rhizospheric microbial communities were closely related to the sulfur and nitrogen sources. Briefly, denitrifying and sulfur-oxidizing genera (e.g., Denitratisoma, Sulfurimonas, Thiobacillus) were dominating in the S-CW, suggesting the occurrence of both autotrophic and heterotrophic denitrification processes in the wetland. On the other hand, nitrifying bacteria were more abundant (e.g. Nitrospira, Piscinibacter) in the P-CW. S0 layer and rhizosphere accounted for 99.3% of nitrogen removal and the former part most likely played important roles with a decrease in HRT. Low temperature strongly affected the rate and efficiency of denitrification but recovered to 49.2 ± 25.8% when added with 30 mg L−1 sodium acetate. This study broadens the applications of sulfur-based CWs and provides a promising management strategy for denitrification at low temperatures.

Cultivating microalgae using wastewater is an economical strategy to produce biofuel; however, microbial contamination has to be controlled strictly. Microalgae lipid accumulation can be triggered by environmental pressures, and here, we studied whether microbial contamination is the pressure for microalgae. We hypothesized this pressure was forced via cell-to-cell communication with quorum sensing molecules (QSMs). In this work, we verified the impacts of QSMs produced by activated sludge (wastewater-born microbial consortiums) on both lipid content and biomass production of the microalgae Chlorophyta sp., since in combination, they determined lipid productivity. With QSMs stress, the lipid content of Chlorophyta sp. increased by ∼84%, while biomass production decreased only slightly. Consistently, enzymes on the fatty acid synthesis pathways were generally up-regulated, while they were slightly down-regulated for DNA replication. In summary, the total lipid production improved by 86%. These results revealed the positive effects of microbial contamination on microalgae biofuel production.

Wheat is a major staple food crop worldwide, due to its total yield and unique processing quality. Its grain yield and quality are threatened by Fusarium head blight (FHB), which is mainly caused by Fusarium graminearum. Salicylic acid (SA) has a strong and toxic effect on F. graminearum and is a hopeful target for sustainable control of FHB. F. graminearum is capable of efficientdealing with SA stress. However, the underlying mechanisms remain unclear. Here, we characterized FgMFS1 (FGSG_03725), a major facilitator superfamily (MFS) transporter gene in F. graminearum. FgMFS1 was highly expressed during infection and was upregulated by SA. The predicted three-dimensional structure of the FgMFS1 protein was consistent with the schematic for the antiporter. The subcellular localization experiment indicated that FgMFS1 was usually expressed in the vacuole of hyphae, but was alternatively distributed in the cell membrane under SA treatment, indicating an element of F. graminearum in response to SA. ΔFgMFS1 (loss of function mutant of FgMFS1) showed enhanced sensitivity to SA, less pathogenicity towards wheat, and reduced DON production under SA stress. Re-introduction of a functional FgMFS1 gene into ∆FgMFS1 recovered the mutant phenotypes. Wheat spikes inoculated with ΔFgMFS1 accumulated more SA when compared to those inoculated with the wild-type strain. Ecotopic expression of FgMFS1 in yeast enhanced its tolerance to SA as expected, further demonstrating that FgMFS1 functions as an SA exporter. In conclusion, FgMFS1 encodes an SA exporter in F. graminearum, which is critical for its response to wheat endogenous SA and pathogenicity towards wheat.

A major challenge for devising an electrochemically active biofilm (EAB)-based biosensor for real-time water quality early-warning is the formation of EAB that requires several days to weeks. Besides the onerous and time-consuming preparation process, the naturally formed EABs are intensively concerned as they can hardly deliver repeatable electrical signals even at identical experimental conditions. To address these concerns, this study employed sodium alginate as immobilization agent to encapsulate Shewanella oneidensis MR-1 and prepared EAB for devising a biosensor in a short period of less than 1 h. The artificial EAB were found capable of delivering highly consistent electrical signals with each other when fed with the same samples. Morphology and bioelectrochemical properties of the artificial EAB were investigated to provide interpretations for these findings. Different concentrations of bacteria and alginate in forming the EAB were investigated for their effects on the biosensor's sensitivity. Results suggested that lower concentration of bacteria would be beneficial until it increased to 0.06 (OD660). Concentration of sodium alginate affected the sensitivity as well and 1% was found an optimum amount to serve in the formation of EAB. A long-term operation of the biosensor with artificial EAB for 110 h was performed. Clear warning signals for incoming toxicants were observed over random signal fluctuations. All results suggested that the artificial EAB electrode would support a rapid devised and highly sensitivity biosensor.

Bacteria and microalgae often coexist during the recycling of microalgal bioresources in wastewater treatment processes. Although the bacteria may compete with the microalgae for nutrients, they could also facilitate microalgal harvesting by forming algal-bacterial aggregates. However, very little is known about interspecies interactions between bacteria and microalgae. In this study, we investigated the responses of a model microalga, Chlorophyta sp., to the typical quorum sensing (QS) molecules N-acylhomoserine lactones (AHLs) extracted from activated sludge bacteria. Chlorophyta sp. self-aggregated in 200 μm bioflocs by secreting 460-1000 kDa aromatic proteins upon interacting with AHLs, and the settling efficiency of Chlorophyta sp. reached as high as 41%. However, Chlorophyta sp. cells were essentially in a free suspension in the absence of AHLs. Fluorescence intensity of the aromatic proteins had significant (P0.05) relationship with the Chlorophyta sp. settleability, and showed a positive correlation, indicating that aromatic proteins helped aggregate microalga. Transcriptome results further revealed up-regulation of synthesis pathways for aromatic proteins from tyrosine and phenylalanine that was assisted by anthranilate accumulation. To the best of our knowledge, this is the first study to confirm that eukaryotic microorganisms can sense and respond to prokaryotic QS molecules.

Background Phosphorus (P) is an essential element of microalgae, which is either required for anabolism or for energy metabolism. When employing a nitrogen limitation strategy to trigger microalgal intracellular lipid accumulation, P supplementation was always simultaneously applied to compensate for the accompanied growth inhibition. Results This study identified that P exerts hormesis effects on microalgae. Slight excess of P (≤ 45 mg L−1) under nitrogen limitation condition stimulated the cell growth of Chlorella regularis and achieved a 10.2% biomass production increase. This also improved mitochondrial activity by 25.0% compared to control (P = 5.4 mg L−1). The lipid productivity reached 354.38 mg (L d)−1, which increased by 39.3% compared to control. Such an improvement was caused by the intracellularly stored polyphosphate energy pool. However, large excess of P (250 mg L−1) inhibited the cell growth by 38.8% and mitochondrial activity decreased by 71.3%. C. regularis cells showed obvious poisoning status, such as enlarged size, plasmolysis, deformation of cell walls, and disorganization of organelles. This is probably because the over-accumulated P protonated the amide-N and disrupted membrane permeability. Conclusions These results provide new insight into the roles of P in microalgae lipid production: P does not always play a positive role under nitrogen limitation conditions. Electronic supplementary material The online version of this article (10.1186/s13068-019-1458-z) contains supplementary material, which is available to authorized users.

Common wheat landrace Kaixian-luohanmai carries a gene(s) that promotes homoeologous chromosome pairing. A major QTL responsible for this effect was mapped to chromosome arm 3AL. Polyhaploid hybrids of a Chinese common wheat landrace Kaixian-luohanmai (KL) and related species show increased levels of chromosome pairing. Over 90% of that pairing is between homoeologous arms of wheat chromosomes, with a very strong preference for pairing between homoeologs from genomes A and D. Wheat–rye pairing was also observed at low frequency. Two mapping populations were created from the hybrids of KL with two wheat genotypes top crossed to rye. Mean chiasmata numbers per plant were used as phenotypic data. Wheat 660 K and 15 K SNP arrays, DArT markers and SSR markers were used for genotyping of the top-cross ABDR hybrids. One major QTL, named QPh.sicau-3A, for increased homoeologous pairing was detected on chromosome arm 3AL, and it was responsible for ca. 16% of the total variation. This QTL was located in the interval 696–725 Mb in the Chinese Spring reference genome. SNP markers closely linked with QPh.sicau-3A were converted to KASP markers and validated for marker-assisted selection.

Additional file 1: Fig. S1. The COD and DIN consumptions during C. regularis growth with different P concentrations. Error bars represent standard deviation values, which were obtained based on triplicate measurements.

Annotations play an important role in making objects understood by machines in building semantic web and providing samples for machine learning. They also help learners acquire information on the annotated targets. In order to achieve good annotation qualities, we design a crowdsourcing tool to help collect and store different types of annotation including handwriting, drawing and any other files made by different users. In our design we realize a four-layer mechanism that records raw data of users' annotating behaviors. Our system helps describe objects in the background images. The relative information including annotation and resources will be delivered according to the annotations made by other users. We also implement our system on Android based tablets and use the system in an educational setting. Our application performs as a crowdsourcing homework revising tool for users to revise the homework and take notes.

Cell-to-cell communication regulates microalgae production via signaling molecules (SMs), but few microalgal SM species are known. Here, we document two new microalgae SMs, benzoic acid (BA) and salicylic acid (SA). Initially, crude SMs were extracted from a microalgae culture in which microalgae grew on heterotrophic-enriched phosphorus nutrition. The extracted SMs enhanced Chlorella growth by ∼72%, promoted nutrient uptake, and up-regulated the mitogen-activated protein-kinase signaling cascade. Fourier transform infrared and nuclear magnetic resonance analyses identified the putative SMs was aromatic carboxylic acids. BA and SA were identified using high-resolution mass spectrometry. BA and SA addition increased cell growth by ∼75% and ∼25%; and improved ATP production by ∼35% and ∼20%. Transcriptomic analysis showed that BA and SA were biosynthesized via CoA-dependent, non-oxidative pathway. The SMs upregulated TCA-cycle enzymes, which promoted carbon assimilation and activated DNA-replicating enzyme, so that accelerated cell division. This study identified two new SMs for microalgae cell communication and provides means to identify other SMs.

Cyanobacterial biomass is a promising natural resource for power generation, through the reactions bio-catalyzed by electrochemically active bacteria (EAB). However, the major limitation is the involvement of Microcystin-LR (MC-LR) in inhibiting EAB activation. In this work, toxic M. aeruginosa biomass was employed as analyte of a microbial fuel cell (MFC), and sodium acetate was applied as easy-to-biodegrade co-substrate to alleviate the MC-LR stress on EAB survival. The running stability was continuously enhanced with the increment of co-substrate concentration. The sufficient co-substrate supply (6.0 mM) eliminated the negative effects of MC-LR on the cyanobacteria biomass fed-MFC performance; it contributed 12.7% extension on the electric cyclic terms and caused the productions of the power density which was comparable and even 3.8% higher than its corresponding control (MFC treated with acetate alone). The co-substrate addition also increased coulombic efficiency by 60.1%, microcystin-LR removal efficiency increased by 64.7%, and diversified the microbial community with more species able to biodegrade the MC-LR, bio-transforming the metabolites and EAB. Microcystin-degrading bacteria, such as Sphingopyxis sp., Burkholderia-Paraburkholderia, and Bacillus sp., were remarkably increased, and EAB, including Shewanella sp., Desulfovibrio desulfuricans, Aeromonas hydrophila, were also much more enriched in co-substrate use protocol. Therefore, this study verified a co-substrate strategy for simultaneously eliminating MC-LR toxin and enhancing bioelectricity generation from cyanobacterial biomass via an MFC.

Sulfur autotrophic denitrification utilizes elemental sulfur as the electron donor for nitrate removal from aquatic environments. Organic carbon could stimulate the conversion of sulfur and facilitates the S0-based denitrification process in the mix-trophic. In this study, the co-cultured system of sulfur reducer (Geobacter sulfurreducens) and Thiobacillus denitrificans was used to investigate that how organic carbon could boost the S0-based denitrification. The results showed that the rate of S0-based denitrification was improved with C/N ratio of 0.13 and this improvement continued even after the acetate was exhausted. Sulfur probe test and Raman analysis suggested that reduced sulfur species (Sx2−) were formed with the addition of organic carbon. The Sx2− could recombine with element sulfur and the bioavailability of S0 would be improved, as a result, the rate of S0-based denitrification increased as well. Nitrate reduction rate could further increase with the C/N ratio of 0.88, but it would decrease significantly when the C/N ratio increased to 1.50 as the high concentration of generated S2−. Our results provided explanations that why organic carbon addition would improve the bioavailability of S0 which could further promote the S0-dominant denitrification process.

Learning should be a process of concentration. Now, the tablet operating system, which is full of irrelevant software, greatly interferes with the concentration of students’ learning. To address this problem, we designed a dedicated Android desktop launcher to mask interference from irrelevant software. At the same time, considering that students are learning video or reading e-books, they may need to wake up the note taking application at any time to take notes. This paper focuses on how to improve the ease of use of the homework management system. By studying the process of Android’s Home key, we design home key event monitoring module and system status management module to achieve the goal of waking up the note-taking app by pressing one keystroke.

Handwriting is the most basic and natural behaviors in the teaching activities or homework. At present, various mobile or media system and devices are applied in the elementary education stage,but the input mode based on traditional keyboard has many obstacles which is not suitable for primary and middle school’s students and teachers in or after class. Although there are lots of handwriting recognition software or solutions provided written services, they are always depending on recognition technologies or methods. These approaches were not the direct and natural way because of the complexity of Chinese characters and manual assistance, for example, selecting a item from numbers of alternatives in the input method. In this paper, a novel approach of constructing Chinese handwriting mobile system and data service oriented elementary education based on Android platform is proposed. A series of non- recognition document format processing and human-machine interaction methods supporting Chinese handwriting are implemented by means of the view layers structure, gesture classification and recognition, buffer mechanism for screen loading handwriting characters, log-structured storage and data synchronization. Students and Teachers can use the system in any education scenarios or activities by writing, editing, storing and sharing handwriting characters or other multimedia as writing as the real paper even simulating Chinese writing brush. Results show that system can be applied to teaching activities to archive handwriting easily and conveniently.

How to monitor students' learning in daily learning behavior and guide teachers to teach more rationally are very important problems. While the digital teaching resources are popular, we can not ignore the information of traditional paper media. We design a homework processing system to solve the problems. First of all, we begin the operation from the acquisition side, by photo taking and image preprocessing, we make the homework picture with semantic meanings. Then we construct an answer reference system, which shows the answers of different kinds of incorrectbess as samples for teachers to refer to when correcting. Semantic pictures are dispatched to teachers handheld devices for intelligent and precise correct activities. We divide correct process into determining the degree of error and giving comments to evaluate and inspire students. Finally, we design a web page for homework data management and correction statistics to help teachers understand the homework completion status of students. The design of homework correction scheme is easy to deploy and can be used in most teaching environments.

Respiration rate is considered among the most useful biomedical signals to be observed for it has the potential of reflecting the bare biological status of human body, and by which clinic may detect and analyze symptoms in obstructive pulmonary disease. Measuring the breathing with contact methods seems to be unfriendly to patients and not as accurate as expected. There have been many techniques based on non-contact methods for respiration detecting published. Referring to those related experiment, this paper is devoted to applications of these methods using Microsoft Kinect depth sensor for non-contact monitoring of respiration. A special attention is paid to visualization of results and motion mapping over the selected chest area. The proposed methodology applies digital signal processing methods and functional transforms for acquired data filtering, frequency spectrum analysis, and feature distinction. The frequency and fluctuations of the diagram drawn from the change of abdomen areas depth data acquired by Kinect match with that of realistic breathing process, verifying the correspondence between breathing and abdomen movement and the validity of this experiment. The noninvasive and easy method for a depth-sensor to detect breathing frequency promises the possibility to analyze breathing for diagnostic and monitoring purposes at hospital, physicians office, or even home environments.

Keyboard, mouse as fundamental input devices of computer systems, have changed traditional input behavior of human beings & writing experiences. However, handwriting, painting are still indispensable communication styles. In recent years, touch screen has become a prevailing human computer interface on many kinds of digital devices, which makes it possible for people using a pen to take notes as writing on paper. Moreover, for maintaining primitive input habits, body language is also needed to be translated by machines. With the development of embedded sensors of smart devices and artificial intelligence technologies, many new approaches have been used to recognize human actions. In this paper, we propose a system called Airpen system, which bridges two input modes: writing and in-air gesturing controlling of human body language through a pen-shape controller. Airpen system projects touch screen writing trajectories to a projection screen and uses in-air gestures to make control operations of non-touch screens. In this paper, we firstly design an input mode switching metrics using acceleration status, then implement in-air gesturing recognition using support vector machine(SVM) with accelerometer data. Finally, we validate that our input mode switching metrics can hardly be perceived by users and in-air gesture recognition can achieve high accuracy.

With the development of new technologies for data mining and analyzing, many industries are using big data technologies to conduct development of the industry. In education, online resources serve big data analyzing. However, in an offline situation, homework is a key factor that reflecting education qualities. Under K-12 education circumstance, students subimit their handwritten homework through paper. In this manner, the value of homework can be easily ignored due to lacking of methods and tools for recording. Inspired by using high speed scanner to input examination paper into computers, we design a high-speed photographic apparatus based homework record system. In this system we propose a scenario-driven homework submission scheme, which provides high speed homework collection service. For each homework we design a corresponding description file including page information and question information for further data analysis. By using the system, a student can record one piece of homework into a digital image within two seconds. The system meets the demands of daily use.