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Abstract A BP neural network incorporated regression forecast technique based upon fragment swarm optimization (PSO) is proposed to design the state of crucial components of wind turbine so regarding realize mistake identification and detection. Firstly, specification recognition is carried out on the collection and tracking information of the system, and parameters connected to fault detection are extracted. Then, the residual optimization issue is made use of to establish the forecast model of nonlinear state evaluation and semantic network combination, and the gearbox temperature level or generator bearing are input as criteria right into the semantic network combination model and single model specifically, and the precision of the design is mirrored by the examination index. Lastly, BP design and PSO-BP combined forecast model are developed respectively by using the actual operation data of wind ranch SCADA, and the mistake state is evaluated according to whether the anticipated residual exceeds the set threshold, so regarding keep an eye on the temperature level of wind turbine transmission and generator bearing. By contrasting the data videotaped prior to and after the failing and making the information prediction analysis, the speculative results show that the forecast model established in this paper is viable for the device element fault detection.

Abstract Hydrogen production from the decomposition of ammonia is considered an effective approach for addressing challenges associated with hydrogen storage and transportation. However, their relatively high energy consumption and low efficiency hinder practical multi‐scenario applications. In this study, Y2O3‐stabilized catalysts with Co‐loaded onto porous nitrogen‐doped carbon (Y2O3–Co/NC) are synthesized by pyrolysis of Y(NO3)3‐modified ZIF‐67 under an inert atmosphere, followed by annealing in a reducing environment. The introduction of Y2O3 enhanced the recombination and desorption of N atoms and facilitated the gradual dehydrogenation of NHx on the catalyst surface, resulting in improved catalytic activity for the thermal decomposition of ammonia. Benefitting from the electron‐donating properties of Y2O3 and N‐doped carbon, the optimized catalyst achieved a remarkable NH3 conversion efficiency of 92.3% at a high gas hourly space velocity of 20 000 cm3·gcat−1·h−1 with an encouraging H2 production rate of 20.6 mmol·gcat−1·min−1 at 550 °C. Moreover, the synthesized catalyst undergoes a fast‐dynamic reconstruction process, resulting in exceptionally stable catalytic activity during the thermal decomposition of ammonia, rendering it a promising candidate for carbon‐free energy thermocatalytic conversion technology.

The stability of metal nanoclusters (NCs) on graphene supports is crucial for their applications in catalysis. Here, we report on the preparation of a composite material comprising Au NCs on graphene support with multi-curvature defects through the vapor deposition of porous Au and in situ heating, followed by a preliminary exploration of its structural stability. Transmission electron microscopy revealed dense encapsulation of Au NCs within the spatial folds of the graphene support, with their structure and position remaining stable over 1 min at 800 °C, indicating exceptional structural stability. X-ray photoelectron spectroscopy (XPS) characterization and density-functional theory (DFT) calculations demonstrate that this stabilizing effect is attributed to the unique electronic properties of the graphene surface, particularly its spatial curvature and topology with defects. Graphene surfaces with multi-curvature defects exhibit a stronger anchoring effect toward Au NCs compared to planar graphene. This work provides a theoretical basis for advancing the design and optimization of graphene-supported metal cluster catalysts.

Integration of distributed energy storage (DES) is beneficial for mitigating voltage fluctuations in highly distributed generator (DG)-penetrated active distribution networks (ADNs). Based on an accurate physical model of ADN, conventional model-based methods can realize optimal control of DES. However, absence of network parameters and complex operational states of ADN poses challenges to model-based methods. This paper proposes a data-driven predictive voltage control method for DES. First, considering time-series constraints, a data-driven predictive control model is formulated for DES by using measurement data. Then, a data-driven coordination method is proposed for DES and DGs in each area. Through boundary information interaction, voltage mitigation effects can be improved by inter-area coordination control. Finally, control performance is tested on a modified IEEE 33-node test case. Case studies demonstrate that by fully utilizing multi-source data, the proposed predictive control method can effectively regulate DES and DGs to mitigate voltage violations.

An adjustable gate driver is proposed based on the optimization of switching transient performances. The turn-on process is optimized through an adjustable charging current, while the turn-off process is optimized through an adjustable segmented drive current. The proposed gate drive circuit has the advantage of reducing switching loss, delay, and total switching time, while maintaining the switching stress and EMI noise level during both turn-on and turn-off transients. The proposed driver can be integrated into gate driver ICs, and the switching performance can be externally adjusted to match the power device for different applications. By combining the above techniques, an adjustable gate driver IC has been developed using the $0.25~\mu $ m BCD process. The simulated and experimental results validate the proposed technique. Compared to the conventional gate driver, the overshoot voltage has been reduced from 15.4% to 8.3%, and the overshoot current has decreased from 20.5% to 10.2% under a 10A load condition.

In the realm of computer vision and animation, the generation of human motion from textual descriptions represents a frontier of significant challenge and potential. This paper introduces MLUG, a groundbreaking framework poised to transform motion synthesis by harnessing the power of vision–language pre-training techniques. MLUG addresses the nuanced challenge of creating semantically rich, physically plausible, and emotionally expressive human motions through a novel integration of a unimodal encoder with motion–text contrastive loss, a motion-grounded text encoder, a motion-grounded motion decoder, and a motion length predictor. These components work in concert to align textual descriptions with dynamic motion sequences, offering an innovative solution to the limitations of existing models in open-vocabulary motion generation and emotional expressiveness. Through extensive evaluations, MLUG demonstrates unparalleled effectiveness in generating realistic and diverse motions from a broad spectrum of textual inputs, setting a new benchmark in the field.

Abstract Industrial production of single-chirality carbon nanotubes is critical for their applications in high-speed and low-power nanoelectronic devices, but both their growth and separation have been major challenges. Here, we report a method for industrial separation of single-chirality carbon nanotubes from a variety of raw materials with gel chromatography by increasing the concentration of carbon nanotube solution. The high-concentration individualized carbon nanotube solution is prepared by ultrasonic dispersion followed by centrifugation and ultrasonic redispersion. With this technique, the concentration of the as-prepared individualized carbon nanotubes is increased from about 0.19 mg/mL to approximately 1 mg/mL, and the separation yield of multiple single-chirality species is increased by approximately six times to the milligram scale in one separation run with gel chromatography. When the dispersion technique is applied to an inexpensive hybrid of graphene and carbon nanotubes with a wide diameter range of 0.8–2.0 nm, and the separation yield of single-chirality species is increased by more than an order of magnitude to the sub-milligram scale. Moreover, with present separation technique, the environmental impact and cost of producing single-chirality species are greatly reduced. We anticipate that this method promotes industrial production and practical applications of single-chirality carbon nanotubes in carbon-based integration circuits.

The relay protection device is the core equipment that ensures the safe and stable operation of a power grid. With the open access of a large number of distributed generation, DC transmission and electric vehicles, a new deep low-carbon power system dominated by power electronic devices has gradually been formed. It is difficult for the traditional control and protection architecture, methods, and technology to meet the business characteristics and functional requirements of a diversified interaction, agile response, safety, and credibility of the power grid in the future. This paper presents a chip-based relay protection technology based on system-on-chip (SoC), which is described from four aspects, namely, the architectural design of the relay protection SoC, software and hardware cooperative relay protection based on the SoC IP core, experimental verification, and engineering application. The results show that the relay protection SoC proposed in this paper has significantly improved the performance of high-speed data acquisition and interaction through hardware algorithm engine acceleration and software and hardware collaborative computing, which is helpful to realize the local equipment operation and the integration of primary and secondary equipment, shorten the protection action time, and improve the speed, reliability, and stability of relay protection devices.

Abstract Background Founder parents play extremely important roles in wheat breeding. Studies into the genetic basis of founder parents and the transmission rules of favorable alleles are of great significance in improving agronomically important traits in wheat. Results Here, a total of 366 founder parents, widely grown cultivars, and derivatives of four representative founder parents were genotyped based on efficient kompetitive allele-specific PCR (KASP) markers in 87 agronomically important genes controlling yield, quality, adaptability, and stress resistance. Genetic composition analysis of founder parents and widely grown cultivars showed a consistently high frequency of favorable alleles for yield-related genes. This analysis further showed that other alleles favorable for resistance, strong gluten, dwarf size, and early heading date were also subject to selective pressure over time. By comparing the transmission of alleles from four representative founder parents to their derivatives during different breeding periods, it was found that the genetic composition of the representative founder parents was optimized as breeding progressed over time, with the number and types of favorable alleles carried gradually increasing and becoming enriched. There are still a large number of favorable alleles in wheat founder parents that have not been fully utilized in breeding selection. Eighty-seven agronomically important genes were used to construct an enrichment map that shows favorable alleles of four founder parents, providing an important theoretical foundation for future identification of candidate wheat founder parents. Conclusions These results reveal the genetic basis of founder parents and allele transmission for 87 agronomically important genes and shed light on breeding strategies for the next generation of elite founder parents in wheat.

The volatile and intermittent nature of distributed generators (DGs) in active distribution networks (ADNs) increases the uncertainty of operating states. The introduction of distribution phasor measurement units (D-PMUs) enhances the monitoring level. The trade-offs of computational performance and robustness of state estimation in monitoring the network states are of great significance for ADNs with D-PMUs and DGs. This paper proposes a second-order cone programming (SOCP) based robust state estimation (RSE) method considering multi-source measurements. Firstly, a linearized state estimation model related to the SOCP state variables is formulated. The phase angle measurements of D-PMUs are converted to equivalent power measurements. Then, a revised SOCP-based RSE method with the weighted least absolute value estimator is proposed to enhance the convergence and bad data identification. Multi-time slots of D-PMU measurements are utilized to improve the estimation accuracy of RSE. Finally, the effectiveness of the proposed method is illustrated in the modified IEEE 33-node and IEEE 123-node systems.

Objectives The prognosis of invasive micropapillary carcinoma (IMPC) of the breast is determined by many clinicopathological factors. This study aims to identify prognostic factors and develop reliable nomogram to predict the overall survival (OS) in patients with IMPC.Design Log-rank test and Cox proportional hazards analysis were used to identify variables and construct a nomogram based on the training cohort. C-index and calibration curves were performed to evaluate the performance of the model in the training cohort and validation cohorts.Setting We collected the patient data from the Surveillance, Epidemiology and End Results (SEER) database. This database holds data related to the cancer incidence from 18 population-based cancer registries in the USA.Participants The SEER database was used to screen 754 eligible patients as the study cohort. The whole cohort was randomly divided into a training cohort (n=377) and a validation cohort (n=377).Results Age at diagnosis, hormone receptors, number of positive regional lymph nodes and clinical stage were independent prognostic factors for patients with IMPC. The calibration curves presented excellent consistency between the actual and nomogram-predict survival probabilities in the training and validation cohorts. The C-index values of the nomogram were 0.794 and 0.774 for OS in the training and validation cohorts, respectively.Conclusions The novel nomogram provides new insights of the risk of each prognostic factor and can assist doctors in predicting the 1-year, 3-year and 5-year OS in patients with IMPC.

In Longyan City, Fujian Province, a hub for premium tobacco in China, our study explored the connection between soil properties and heavy metal levels in tobacco leaves, focusing on chromium (Cr), lead (Pb), and zinc (Zn). We observed that the soil’s average concentrations for Cr, Pb, and Zn were 0.165, 9.53, and 5.17 mg kg ^−1 , respectively. In stark contrast, tobacco leaves presented elevated mean concentrations of these metals, measuring 0.936, 2.19, and 102 mg/kg for Cr, Pb, and Zn, respectively. This disparity was further highlighted by the soil’s exceedance rates for Pb and Zn at 2.93% and 0.472%, and the significantly higher enrichment coefficients in tobacco, 23.1 for Pb and 19.7 for Zn, compared to Cr, suggesting a substantial health risk. Our study identified critical soil parameters, including pH, organic matter, and levels of available potassium and phosphorus, as influential factors determining heavy metal content in tobacco. Utilizing these findings, we formulated predictive regression models for estimating Cr, Pb, and Zn concentrations in tobacco leaves. The regression models for estimating the concentrations of chromium, lead, and zinc in tobacco leaves are as detailed below: Y _Cr = 0.889 + 0.001 * X _K + 0.001 * X _N − 0.005 * X _OM + 0.101 * X _Cr (R ^2 = 0.852), Y _Pb = 2.608–0.069 * X _pH − 0.001 * X _N + 0.008 * X _Zn + 0.01 * X _Pb (R ^2 = 0.738) and Y _Zn = 101.892–0.141 * X _P + 0.32 * X _OM − 0.123 * X _Pb + 0.614 * X _Zn (R ^2 = 0.801), respectively. These offering essential tools for assessing and controlling heavy metal risks in tobacco cultivation within the region.

Under the development trend of AC/DC hybrid power grids, converter transformers are indispensable as AC/DC conversion equipment, whose safety and stability are particularly important. There have been many serious accidents where the zero-mode inrush current(abbreviated as ZMIC) of high-impedance transformers caused the zero-sequence backup protection of the transformer and even the upper-level line to malfunction. As a type of high-impedance transformer, the converter transformer may cause the existing zero-sequence protection(abbreviated as ZSP) to malfunction due to the ZMIC generated during no-load operation. However, its winding connection form and no-load operation method are different from ordinary high-impedance transformers. There may be sympathetic interaction between multiple transformers. So, it is necessary to analyze the ZMIC separately.Through the existing ZMIC equivalent circuit of converter transformer, the amplitude relationship and attenuation characteristics of four bipolar converter transformer ZMIC are clear, which lay the foundation of the following protection scheme.The fact that ZMIC may cause the zero-sequence overcurrent protection to malfunction is found through PSCAD (Power Systems Computer-Aided Design) simulation. An inrush current identification scheme based on the station area information of the relationship between zero-mode inrush fundamental wave and harmonic amplitude is proposed. Considering the system resistance, closing angle, CT saturation, and fault conditions, the effectiveness of the proposed scheme and its superiority compared with the existing inrush current identification methods are verified.

Abstract The three-dimensional target position is vital to automatic driving, which can efficiently detect the geometrical shape of obstacles and achieve automatic environment recognition for both indoor and outdoor scenarios. In this paper, we propose an RFID 3D localization prototype based on the polarization phase model. To eliminate the impacts of tag angle, we leverage the polarization effect to obtain polarized phases. After that, we use polarized phase decomposition to get pure phases, i.e., the phase corresponding to the line of sight path. Hence, we can calculate the raw phases using the HMFCW algorithm. Finally, we can estimate the target’s 3D position according to unwrapped phase information. In this way, we implement a low-cost, high-precision, easy-for-deployment 3D position solution using commercial UHF RFID hardware. The experiments show that the method can obtain effective positioning results in various environments and achieve positioning accuracy with an average error of about 9 cm.

Longyan City in Fujian Province is one of China’s top-quality tobacco-producing areas and plays an essential role in local economic development. To determine the correlation between heavy metal content in tobacco leaves and soil factors, soil physical and chemical properties and heavy metal contents of lead, cadmium, and copper in tobacco leaves were measured and analyzed by the correlation regression method. The content of lead, cadmium, and copper in soil was determined using hydrochloric acid extraction-AAS and graphite furnace atomic absorption spectrometry. Inductively coupled plasma-mass spectrometry was used to determine heavy metal in tobacco leaf. The findings revealed that the average concentrations of lead, cadmium, and copper in the soil were 12.1, 0.092, and 3.88 mg/kg, respectively. In contrast, the average levels of lead, cadmium, and copper in tobacco leaves were 2.33, 4.89, and 4.35 mg/kg, respectively. The cadmium enrichment coefficient of 54.3 was higher than lead and copper, indicating a greater health risk. Soil pH value was negatively correlated with lead content in tobacco leaf, while potassium and phosphorus nutrient levels were negatively correlated with copper content. In contrast, a positive correlation was established between the presence of organic matter with cadmium content in tobacco leaves. The prediction models of lead, cadmium, and copper in tobacco leaves can be expressed by the regression equation corresponding to each heavy metal as follows: YPb=2.33−0.005∗ XK+0.007∗XN −0.271∗XpH+0.065∗XPb (R2 = 0.787), YCd=1.55+0.012∗XOM−0.014∗XCu+34.6∗XCd (R2 = 0.891), and YCu=4.64−0.029∗XP−0.007∗XK+0.245∗XCu (R2 = 0.724), respectively. The prediction models above provide an effective predictive tool for assessing heavy metal risk in tobacco leaves using soil properties in the study area.

Contemporary endodontic microsurgery has emerged as a significant treatment modality in the retention of teeth with persistent apical periodontitis. This article proposes the concept of the full-cycle clinical management of endodontic microsurgery based on the condition of the patient and tooth, attempting to develop a comprehensive strategy for the examination, treatment and follow-up to save natural teeth. Full-cycle clinical management included preoperative consideration of the general condition and surgical site and selection of cases for endodontic microsurgery; intraoperative application of techniques such as lasers, "bone window" technique and targeted endodontic microsurgery to make the surgical approaches more varied and the operation minimally invasive; postoperative outcome assessment according to the history, clinical and radiographic examination; and analysis of the short- and long-term outcomes.

Abstract Background Medication-overuse headache (MOH) is a relatively frequently occurring secondary headache caused by overuse of analgesics and/or acute migraine medications. It is believed that MOH is associated with dependence behaviors and substance addiction, in which the salience network (SN) and the habenula may play an important role. This study aims to investigate the resting-state (RS) functional connectivity between the habenula and the SN in patients with MOH complicating chronic migraine (CM) compared with those with episodic migraine (EM) and healthy controls (HC). Methods RS-fMRI and 3-dimensional T1-weighted images of 17 patients with MOH + CM, 18 patients with EM and 30 matched healthy HC were obtained. The RS-fMRI data were analyzed using the independent component analysis (ICA) method to investigate the group differences of functional connectivity between the habenula and the SN in three groups. Correlation analysis was performed thereafter with all clinical variables by Pearson correlation. Results Increased functional connectivity between bilateral habenula and SN was detected in patients with MOH + CM compared with patients with EM and HC respectively. Correlation analysis showed significant correlation between medication overuse duration and habenula-SN connectivity in MOH + CM patients. Conclusions The current study supported MOH to be lying within a spectrum of dependence and addiction disorder. The enhanced functional connectivity of the habenula with SN may correlate to the development or chronification of MOH. Furthermore, the habenula may be an indicator or treatment target for MOH for its integrative role involved in multiple aspects of MOH.

This article proposes a network security protection scheme for power system embedded devices based on chip-level trusted computing, gives the overall architecture of power equipment chip-level trusted computing, introduces the principle of trust chain transfer within power terminals, and proposes the method of using the on-chip SRAM inside the main control chip of power system embedded devices as the PUF to construct the trusted root. Furthermore, we propose a complete trust transfer mechanism from booting trust to the loading that trust on operating system and application, and give the corresponding program design framework and program logic. The chip-level trusted computing program designed in this article was applied in a distribution automation DTU device equipped with the FUXI chip that is developed by the China Southern Power Grid and the Sylix OS operating system. Finally, we carry out the security protection test. The validity of the designed program is verified by running malicious programs to attack the power equipment. The results show that the designed program can effectively detect and intercept illegal programs, and provide an effective solution for the security protection of power equipment in the open network environment.

Supply chain management aims to achieve both efficiency and low cost. Backscatter technology provides a low-energy consumption approach for critical links in the supply chain, such as warehouse management and cargo identification. Traditional backscatter systems achieve tag data transmission through dedicated hardware or controlled transmission sources. An additional access point (AP) can be used to ensure that the original data are always known in tag data decoding. These requirements increase the deployment costs and are not suitable for large-scale applications. To address these challenges, we introduce CRCScatter, a backscatter system based on a cyclic redundancy check (CRC) reverse algorithm, with an uncontrolled source and a single-AP receiver. The CRCScatter decoder at the receiver uses the constraints within 802.11b WiFi packets to recover the original packet and decode tag data from the backscatter packet. Our Matlab simulation results show that CRCScatter is effective in the low signal-to-noise ratio (SNR) regime, and its average decoding time is independent of the length of tag data. By appending redundant bits in tag data, the decoding accuracy of CRCScatter can be improved. In summary, CRCScatter presents a backscatter communication mode based on ambient WiFi signals with fewer hardware requirements and low deployment costs. Furthermore, the decoding idea of calculating unknown data based on the packet constraints has the potential to expand to different types of excitation packages.

Common wheat (Triticum aestivum L.) is one of the most important crops because it provides about 20% of the total calories for humans. T. aestivum is an excellent modern species for studying concerted evolution of sub-genomes in polyploid species, because of its large chromosome size and three well-known genome donors. Establishment of common wheat genome reference sequence and development of high-density SNP chips provide an excellent foundation to answer questions of wheat evolution and breeding at the genomic level. By genotyping more than 600 accessions of common wheat and their diploid and tetraploid ancestors using a Wheat660K SNP array, we found dramatic genome changes due to tetraploidization and hexaploidization, in contrast to weaker influences of domestication and breeding on them. Further, since common wheat was introduced in China in 1500 BCE, Chinese landraces formed two subgroups (T. aestivum-L1 and T. aestivum-L2) with considerably diverse geographic distributions and agronomic traits. T. aestivum-L2, mainly distributed in central and east China is found to have more but smaller oval grains with early maturity characteristics. We found that variation and selection in intergenic regions of the A and B sub-genomes dominated this differentiation, in which chromosomes 7A and 3B took the leading roles due to the existence of putative genes related to defense responses and environmental adaption in the highly differentiated regions. Large haplotype blocks were detected on 3B (232.6–398.3 Mb) and 7A (211.7–272.9 Mb) in the landraces, forming two distinct haplotypes, respectively. We discovered that artificial crosses in breeding promoted recombination in the whole genome, however, this recombination and differentiation was highly asymmetric among the three sub-genomes in homoeologous regions. In addition, we found that the wide use of European and northern American cultivars in breeding at early era, led dramatic changes in Chinese wheat genome, whereas, the recent breeding functioned to optimize it. This study will provide the insight for reconsideration of wheat evolution and breeding, and a new strategy for parent selection in breeding.

Rye (Secale cereale L.) has been widely used to improve wheat (Triticum aestivum L.) cultivars. Oligo probes combined with non-denaturing fluorescence in situ hybridization (ND-FISH) technology provide a convenient and efficient way to identify individual rye chromosomes. However, suitable ND-FISH-positive oligo probes for recognizing specific segments of rye chromosomes are lacking. Five new ND-FISH-positive oligo probes: Oligo-5BL.46, Oligo-5A8080, Oligo-5A8080.1, Oligo-1AL.73, and Oligo-0R3, combined with two previously reported oligo probes, Oligo-44 and Oligo-45, were used in this study. Probes Oligo-5BL.46, Oligo-5A8080 and Oligo-44 produced signals only in intercalary regions of arms 1RS, 5RS, and 5RL, respectively. Probe Oligo-5A8080.1 combined with probe Oligo-45 distinguished the intercalary regions of arms 1RS, 5RS, and 6RS simultaneously. Oligo-5A8080 and Oligo-5A8080.1 revealed variation in the distribution of 5S rDNA sequences and polymorphism among 5R chromosomes. Probe Oligo-1AL.73 produced signals only on chromosomes 4R and 7R and contributed to the construction of an improved FISH map of chromosome 4RKu and to the confirmation of 4RLKu breakpoints in wheat-rye 4RLKu translocation chromosomes. Oligo-0R3 produced signals in the telomeric and subtelomeric regions of 14 rye chromosomes. These oligo probes also revealed five new tandem repeats in rye. Using the oligo probes reported in this study, the short arms of 1R, 5R, and 6R and the long arms of 4R and 7R can be easily discriminated when these chromosomes are broken. Keywords: Wheat, Rye, ND-FISH, Oligo probe, Tandem repeats

Nanocatalysts and single‐atom catalysts are generally considered as two categories with distinct performances. Here, in situ TEM study of catalytic methane pyrolysis over nanoporous Au reveals a highly dynamic process where co‐catalysis exists among various catalyst forms.

Large scale production of thermally stable single-atom catalysts (SACs) remains challenging. Here, the authors report scalable synthesis of Ru SACs by heating physical mixture of commercial RuO2 and Fe-containing support, which is significantly promoted by strong metal-support interaction.

The threshold voltage distribution technique is an effective way to reduce the static power consumption of integrated circuits. Several gate-level-based distribution algorithms have been proposed, but the optimization effect and run time still need further optimization when applied to very large-scale integration (VLSI) designs. This paper presents a triple-threshold path-based static power optimization methodology (TPSPOM) for low-power system-on-chip. This method obtains the path weights and cell weights from paths’ timing constraints and cells’ delay-to-power ratios, then uses them as indexes to distribute each cell to low-threshold voltage (LVT), standard-threshold voltage (SVT), or high-threshold voltage (HVT). The experimental results based on a 28 nm circuit containing 385,781 cells show that the TPSPOM method reduces static power consumption by 15.16% more than the critical-path aware power consumption optimization methodology (CAPCOM). At the same time, run time is reduced by 96.85%.

Arginine-rich Tandem Zinc Finger (RR-TZF) proteins make up a plant-specific superfamily that participates in plant development, while their roles in cotton fiber development remain to be explored. In this study, we identified an RR-TZF protein-coding gene, GhTZF2, containing two CCCH domains (C-X7-C-X5-C-X3-H-X16-C-X5-C-X4-C-X3-H) and one RR domain at the N-terminus of the two CCCH domains, by comparing the differences of chromatin H3K4me3 modifications between wild-type upland cotton (WT) and the fuzzless-lintless mutant (fl) ovules. GhTZF2 was highly expressed in ovule cells near anthesis, and multiple experiments revealed that GhTZF2 could interact directly with GhMORF8. Homozygotic GhTZF2-knockout cotton lines produced significantly shorter fibers with thinner cell walls. Additionally, comparative transcriptome analysis confirmed that many differentially expressed transcripts contain adenine- and uridine-rich (AU-rich) elements (AREs) in their 3’ untranslated regions (UTR). Together, this study indicated that GhTZF2 may regulate cotton fiber cell development through interacting with GhMORF8, or may be involved in mRNA turnover.

Accurately evaluating the fault type and location is important for ensuring the reliability of the power distribution network. A mushrooming number of distributed generations (DGs) connected to the distribution system brings challenges to traditional fault classification and location methods. Novel AI-based methods are mostly based on wide area measurement with the assistance of intelligent devices, whose economic cost is somewhat high. This paper develops a super-resolution (SR) and graph neural network (GNN) based method for fault classification and location in the power distribution network. It can accurately evaluate the fault type and location only by obtaining the measurements of some key buses in the distribution network, which reduces the construction cost of the distribution system. The IEEE 37 Bus system is used for testing the proposed method and verifying its effectiveness. In addition, further experiments show that the proposed method has a certain anti-noise capability and is robust to fault resistance change, distribution network reconfiguration, and distributed power access.

The genomic context of the mcr-1 gene in Escherichia coli from animal feces has been widely reported. However, less is known about the mcr-1-carrying plasmid characteristics and other functional regions of Escherichia coli isolates from animal organs with lesions. The present study investigated the antimicrobial resistance, population structure, and genetic features of mcr-1-positive Escherichia coli strains isolated from animal organs with lesions. The antimicrobial susceptibility testing indicated that 24 mcr-1-positive Escherichia coli isolates were resistant to at least three or all antimicrobial categories. MLST analysis suggested that the dominant clone complexes (CC) were mainly CC156, CC448, and CC10. In addition, ST10596, a newly discovered sequence type in swine, failed to be classified. Meanwhile, the mcr-1 gene located on the different plasmids was successfully transferred to the recipients, and whole-genome sequencing indicated the mcr-1 gene was embedded in mcr-1-pap2 cassette but not flanked by ISApl1. The mcr-1 gene is located on the chromosome and embedded in Tn6330. Furthermore, NDM-5 was found on the IncX3-type plasmid of J-8. The virB6 and traI gene of type IV secretion system (T4SS) were truncated by IS2 and IS100 and located on the IncX4- and the IncHI2/HI2A/N-type plasmids, respectively. The multidrug-resistant (MDR) region of IncHI2/HI2A/N-type plasmids contained two class 1 integrons (In0, In640) and four composite transposons (Tn4352, Tn6010, cn_4692_IS26, cn_6354_IS26). Overall, 24 mcr-1-positive Escherichia coli isolates in our study showed MDR, or even extensively drug resistant (XDR), and exhibited population diversity. The T4SS gene truncation by the insertion sequence may affect the efficiency of plasmid conjugative transfer. Furthermore, the class 1 integrons and composite transposons in the MDR region of IncHI2/HI2A/n-type plasmid contributed to the multireplicon plasmid formation, the acquisition, and transfer of antimicrobial resistance genes (ARGs).

While dry reforming of methane, the reaction of CH4 and CO2 to create CO and H2, is a promising reaction for industry, coke buildup often deactivates catalysts and limits commercialization. Here, authors report single-atom nickel on Ce-doped hydroxyapatite as a coke-resistant catalyst.

Abstract Background Tuberculosis (TB) patient management (TPM) is crucial to improve patient compliance to treatment. The coverage of TPM delivered by TB dispensaries or Centers for Disease Control and Prevention (CDC) was not high under the previous CDC model of TB control in China. In the integrated TB control model in China, TB patient management (TPM) was mainly delivered by lay health workers (LHWs) in primary health care (PHC) sectors. This study aims to investigate TPM delivery in resource-limited western China and to identify factors affecting TPM delivery by LHWs under the integrated TB control model. Methods A stratified random sampling was used to select study sites. Pulmonary TB (PTB) patients ≥15 years old from selected counties/districts in Guizhou Province were surveyed from August 2015 to May 2016. Structured questionnaires were used to collect data. A χ 2 test and logistic regression were used to identify factors associated with self-administered treatment (non-TPM). Results In total, 638 PTB patients were included in the final analysis. Close to 30% of patients were ethnic minorities. More than 30% of patients were from counties with high TB burden, and 24.9% of patients had poor compliance to treatment. Only 37.1% of patients received TPM delivered by LHWs under the integrated TB control model throughout the treatment period. The main reasons for unwillingness to manage reported by patients included social stigma and no perceived need. Being ethnic minorities (OR = 3.35) was a main factor associated with lower likelihood of receiving TPM, while living in areas with middle or high TB burden may increase the likelihood of receiving TPM (OR = 0.17 and 0.25, respectively). Among current management approaches, more than 85% of patients chose phone reminder as their preferred TPM by LHWs. Conclusions TPM under the integrated model in West China is still low and need further improvement, and the impeding factors of TPM need to be addressed. Strengthening patient-centered and community-based TPM and developing more feasible approaches of TPM delivery should be explored in future research in this region.

With the gradual maturity of laser technology，it has become widely considered a new method for disease treatment. Nd： YAG laser and Er： YAG laser are two representative solid⁃state lasers. These lasers are easy to use，com⁃ fortable and safe，and thus，they have recently become a research hotspot in dental treatment. Nd： YAG laser and Er： YAG laser have been used for the treatment of dentin hypersensitivity and dental caries，root canal therapy，pulp pres⁃ ervation and apical surgery. They are effective adjuvant methods for the treatment of dental pulp diseases and provide new avenues for clinical treatment. In this paper，the application of Nd： YAG laser and Er： YAG laser in the treatment of dental pulp disease is described to provide a reference for clinical treatment options.

We present here for the first time the electrochemical behavior of germanium anodes in potassium-ion batteries (KIBs). Nanoporous germanium (np-Ge) samples were fabricated by the chemical-dealloying method using Al as the sacrificial metal. Galvanostatic tests identified the reversible potassiation of the np-Ge anodes and the optimal sample with tuned porosities and ligaments demonstrated stable capacities of ~120 mAh g−1 over 400 cycles. Further analysis of the np-Ge electrode revealed amorphous KGe alloys were formed upon discharge. This study suggest germanium can be a potential anode in KIBs, but the structural tailoring is critical to overcome the kinetics problems of the large K-ions. Keywords: Potassium-ion batteries, Chemical dealloying, Nanoporous materials, Germanium anodes

Developing stable single-atom catalysts (SACs) with a high metal loading remains a challenge due to the difficulty of creating high densities of defects on support materials. Here the authors prepare Pt SACs with high Pt loadings by virtue of strong covalent metal-support interaction, rather than support defects.

Elevators have become a kind of indispensable facility for everyday life, which bring people both convenience and safety hazards. Specifically in the household environment, an elevator’s lifespan is expected to be more than 20 years. An appropriate and regularly maintained counterweight is conducive to extending elevator life. This paper proposes a passenger counting approach in the elevator for regular counterweight adjustment based on commodity WiFi called ECC. Since the running time of the elevator between two adjacent floors is short, the major challenge of ECC is how to count passengers from the limited captured data. This paper first theoretically analyzes the relationship between the number of passengers and the variation of channel state information (CSI). Then ECC constructs a multi-dimensional feature by extracting the average of amplitude (AOA), time-varying spectrum (TVS), and percentage of non-zero elements (PEM) features from the limited data. Finally, the random forest (RF) classifier is used for passenger counting and the local optimization problem is solved by expanding the feature dataset through data segmentation. ECC is implemented by using off-the-shelf IEEE 802.11n devices, and its performance is evaluated via extensive experiments in typical real-world scenes. The estimated precision of ECC can reach more than 95%, and more than 97% of estimation errors are less than 2 persons, which demonstrates the superior effectiveness and generalizability of ECC.

The Aktyuz Terrane in Kyrgyz North Tianshan is of particular interest due to the occurrence of high and ultrahigh pressure (HP–UHP) rocks and it containing the third largest gold deposit in Kyrgyz North Tianshan, i.e., Taldybulak Levoberezhny (abbreviated to Taldybulak Lev.). To constrain the ages of the host Kemin Complex and its auriferous monzogranite porphyry, detailed zircon U–Pb dating [by laser ablation inductively coupled plasma-mass spectrometry (LA-ICPMS) and secondary ion mass spectroscopy (SIMS)] and Lu–Hf isotopic analyses were carried out. The intensively altered auriferous monzogranite porphyry yielded two weighted mean ages of 444 ± 3 Ma (n = 14, mean squared weighted deviation (MSWD) = 0.49, by LA-ICPMS) and 440 ± 5 Ma (n = 8, MSWD = 0.82, by SIMS) that are indistinguishable within error ranges. Such ages are consistent with a previously reported sulfide Re–Os isochron age of 434 ± 18 Ma, supporting a Silurian porphyry gold mineralization. The granitic gneiss yielded a protolith age of 773 ± 7 Ma (n = 7, MSWD = 0.04) and two metamorphic ages of 514 ± 4 Ma (n = 8, MSWD = 0.09) and 483 ± 3 Ma (n = 11, MSWD = 0.04). Detrital zircons from one fuchsite schist sample yielded highly variable ages from 729 ± 13 Ma to 2,463 ± 30 Ma, with 12 data points weighted at 740 ± 5 Ma (MSWD = 0.95). The metamorphic overgrowth yielded a weighted mean age of 460 ± 4 Ma (n = 4, MSWD = 0.15). Detrital zircons in the migmatitic amphibolite are aged from 788 ± 7 Ma to 3,447 ± 32 Ma, with two major concentrations at 941 ± 7 Ma (n = 13, MSWD = 0.95) and 794 ± 5 Ma (n = 8, MSWD = 0.19). The metamorphic overgrowth yielded an average age of 555 ± 4 Ma (n = 8, MSWD = 0.65). The detrital and xenocryst zircons, and evolved εHf(t) values (−20.9 to −7.8) and old two-stage Hf model ages (1,367–3,159 Ma), revealed the presence of a Precambrian basement that may be dated back to the Archean Eon. The two metamorphic ages may correlate with oceanic subduction and continental collision, respectively.

Candida parapsilosis complex is one of the most common non-albicans Candida species that cause candidemia, especially invasive candidiasis. The purpose of this study was to evaluate the antifungal susceptibilities of both colonized and invasive clinical C. parapsilosis complex isolates to 10 drugs: amphotericin (AMB), anidulafungin (AFG), caspofungin (CAS), micafungin (MFG), fluconazole (FLZ), voriconazole (VRZ), itraconazole (ITZ), posaconazole (POZ), 5-flucytosine (FCY), and isaconazole (ISA). In total, 884 C. parapsilosis species complex isolates were gathered between January 2005 and December 2020. C. parapsilosis, Candida metapsilosis, and Candida orthopsilosis accounted for 86.3, 8.1, and 5.5% of the cryptic species, respectively. The resistance/non-wild-type rate of bloodstream C. parapsilosis to the drugs was 3.5%, of C. metapsilosis to AFG and CAS was 7.7%, and of C. orthopsilosis to FLZ and VRZ was 15% and to CAS, MFG, and POZ was 5%. The geometric mean (GM) minimum inhibitory concentrations (MICs) of non-bloodstream C. parapsilosis for CAS (0.555 mg/L), MFG (0.853 mg/L), FLZ (0.816 mg/L), VRZ (0.017 mg/L), ITZ (0.076 mg/L), and POZ (0.042 mg/L) were significantly higher than those of bloodstream C. parapsilosis, for which the GM MICs were 0.464, 0.745, 0.704, 0.015, 0.061, and 0.033 mg/L, respectively (P < 0.05). The MIC distribution of the bloodstream C. parapsilosis strains collected from 2019 to 2020 for VRZ, POZ, and ITZ were 0.018, 0.040, and 0.073 mg/L, significantly higher than those from 2005 to 2018, which were 0.013, 0.028, and 0.052 mg/L (P < 0.05). Additionally, MIC distributions of C. parapsilosis with FLZ and the distributions of C. orthopsilosis with ITZ and POZ might be higher than those in Clinical and Laboratory Standards Institute studies. Furthermore, a total of 143 C. parapsilosis complex isolates showed great susceptibility to ISA. Overall, antifungal treatment of the non-bloodstream C. parapsilosis complex isolates should be managed and improved. The clinicians are suggested to pay more attention on azoles usage for the C. parapsilosis complex isolates. In addition, establishing the epidemiological cutoff values (ECVs) for azoles used in Eastern China may offer better guidance for clinical treatments. Although ISA acts on the same target as other azoles, it may be used as an alternative therapy for cases caused by FLZ- or VRZ-resistant C. parapsilosis complex strains.

The inadequacy of worldwide fossil fuel resources, combined with increasing energy demands, encourages global attention to either using alternative energy resources or improving the recovery factor and produce larger quantities from present reservoirs. Among all enhanced oil recovery (EOR) methods, surfactant injection is a well-known technique that reduces the interfacial tension (IFT) between oil and water and increases oil production. Despite numerous advantages of using surfactants, there are also a few obstacles like environmental impacts, high cost, effect on humans and other organisms due to toxicological potential, and availability from nonrenewable resources. Biosurfactants are microbial surface-active agents that decrease the surface tension (ST) of a liquid phase and the IFT of two diverse phases. They are biotechnological products of high value owing to their widespread applications, low toxicity, relatively easy preparation, and specific performance, applied in different industries like organic chemicals and fertilizers, agrochemicals, metallurgy and mining, cosmetics, foods, medical and pharmaceuticals, beverages, environmental management, and petroleum and petrochemical applications in emulsifying and demulsifying wetting agents, detergent spreading and foaming agents, and functional food ingredients. Biosurfactants are synthesized by microbes; therefore, various genetic diversities of microorganisms provide the considerable capability to produce new types of biosurfactants, which can develop EOR technology. Biosurfactants are classified into ex situ and in situ MEOR processes. The genera Pseudomonas, Bacillus, Sphingomonas, and Actinobacteria are the foremost biosurfactant-producing bacteria. This paper reviews relevant reports and results from various presented papers by researchers and companies on applications of microorganisms and biosurfactant technology with specific emphasis on EOR and MEOR processes, based on recently published articles since 2010 until now.

Transposons (TEs) are known to change the gene expression and function, and subsequently cause plant speciation and evolution. Nevertheless, efficient and new approaches are required to investigate the role of TEs in the plant genome structural variations. Here, we reported the method named matrix-TE to investigate the differentiation of intact and truncated LTR/TEs comprehensively in Indica and Japonica rice throughout whole genomes with a special eye on centromeric regions. Six LTR/TE super-families were identified in both Indica and Japonica rice genomes, and the TE ORF references were extracted by phylogenetic analysis. Indica rice specific TE peak P-Gypsy and Japonica rice specific TE peak P-Copia were observed, and were further analyzed by Gaussian probability density function (GPDF) fit. The individual TE peak P-Gypsy was observed in centromeric regions of the Indica genome. By the matrix-TE method, the divergence of Indica and Japonica genomes, especially their centromeric regions, mainly resulted from the Ty3/Gypsy insertion events at 0.77 Mya. Our data indicate that the optimized matrix-TE approach may be used to specifically analyze the TE content, family evolution, and time of the TE insertions.

Legacy protection schemes face new challenges as Inverter Interfaced Distribution Generation (IIDG) significantly changes the transient fault response of the distribution grid. The performance of the protection near the IIDG side is adversely affected by Low Voltage Ride Through (LVRT) and the negative sequence current suppression control characteristics of the IIDG. The operational characteristics of the protection are very different from those of the legacy protection schemes used in the distribution grid. Traditional overcurrent protection schemes cannot meet the requirements of selectivity and sensitivity. This paper analyses the influence of the IIDG on the protection schemes used in the distribution grid. Based on the positive sequence voltage polarization impedance criterion this study proposes a polarizing impedance criterion based on the fault component of positive sequence voltage, which can adaptively follow the fault resistance variation to satisfy the requirements of grid operation. The simulation results show that: (a) the proposed criterion is immune to the adverse effects of the transient characteristics of the IIDG; and, (b) it can adaptively follow the change of fault resistance making it suitable for application in short distribution lines. Using specialized System-on-Chip technology, a new distance protection device has been developed and tested on an industrial site. Simulation results and field tests showed that the new distance protection meets the requirements of the distribution grid with IIDGs.

This paper aimed to develop a high-performance liquid chromatography (HPLC) method that can simultaneously detect ten biogenic amines (BAs) in commercially available soybean paste and to determine the contents of BAs in these products. Heptylamine (Hep) was used as the internal standard reagent and benzoyl chloride as the sample derivatization reagent; Inertsil ODS-3 chromatographic column was set as the stationary phase while the acetonitrile and 5 mmol/L ammonium acetate solution as the mobile phases; the samples were treated with gradient elution and detected at 254 nm (UV). Perchloric acid solution (0.4 mol/L) was employed as the sample extraction solvent to determine the contents of ten BAs in soybean paste products. All BAs were separated within 20 min. The methodological validation suggested good linearity, whereas the linear correlation coefficient of all standards was greater than 0.99 with the linear range of 0.1–80 μg/g, detection limits of 0.01–0.03 μg/g, and quantitation limits of 0.03–0.10 μg/g. For 17 commercially available soybean paste products involved in our study, different samples were distinguished from each other not only by the dramatic differences in the contents of BAs but also by the variance in BA types. Of these BAs, tyramine (Tyr) and agmatine (Agm) were found to be the highest contents in soybean paste products; the contents of histamine (His), 2-phenylethylamine (Phe), serotonin (Ser), spermidine (Spd), and putrescine (Put) were lower, followed by cadaverine (Cad), tryptamine (Try), and spermine (Spm). This method proved to be highly sensitive and effective in determining the contents of BAs in soybean paste products; there was a dramatic difference in the contents of ten BAs among different soybean paste products.

Cracked tooth is a common type of tooth fracture with diverse symptoms, different treatment principles and unpredictable prognosis. The available remedies for immediate, intermediate and definitive managements include occlusal adjustment, orthodontic band, bonded composite resin, onlay, full crown and so on. For teeth with localized crack and vital pulp, bonded composite resin and onlay with cuspal coverage are also protective remedies besides tradi⁃ tional full ⁃crown restoration. Once pulpal infection occurs, root canal therapy and full ⁃crown restoration is indicated. Clinical determination should be made with comprehensive consideration of the location and depth of the crack, risk of extension and pulpal condition. This review will focus on the traits and prognosis of various therapy options, so as to pro⁃ vide evidence⁃based treatment planning of cracked tooth.