Hybridized Local and Charge-Transfer Excited-State Fluorophores through the Regulation of the Donor-Acceptor Torsional Angle for Highly Efficient Organic Light-Emitting Diodes

Hybridized local and charge-transfer(HLCT)excitedstate fluorophores,which enable full exciton utilization through a reverse intersystem crossing fromhigh-lying triplet states to singlet state,have attracted increasing attention toward organic light-emitting diodes(OLEDs)application.Herein,we report three D-π-A-π-D-type isomers o-2CzBT,m-2CzBT,and p-2CzBT by adjusting the donor(D)units from ortho-,meta-,to para-substituted positions with the acceptor(A)core unit,respectively.The HLCT properties of the three compounds are evidently confirmed by theoretical calculations,solvatochromic behaviors,and transient decay lifetimes analyses.As the substituted position changes from the ortho-,meta-,and para-positions,the reduced steric hindrance brings about decreased torsional angle between D and A moieties,resulting in increased oscillator strength.Accordingly,the parasubstituted p-2CzBT is endowed with a more locally excited component that accounts for faster radiative decay,leading to a higher fluorescent efficiency than that of o-2CzBT and m-2CzBT.As expected,p-2CzBT enables its nondoped and doped OLEDs with higher external quantum efficiencies(EQEs)of 12.3% and 15.0%,respectively,which are among the state-ofthe-art efficiencies of HLCT-based OLEDs.Moreover,o-2CzBT and m-2CzBT are also utilized as host materials for high-performance OLEDs,thus extending the application of HLCT materials.

A new nano approach to prevent tumor growth in the local treatment of glioblastoma: Temozolomide and rutin-loaded hybrid layered composite nanofiber

Total resection of glioblastoma(GB)tumors is nearly impossible,and systemic administration of temozolomide(TMZ)is often inadequate.This study presents a hybrid layered composite nanofiber network(LHN)designed for localized treatment in GB tumor bed.The LHN,consisting of polyvinyl alcohol and core-shell polylactic acid layers,was loaded with TMZ and rutin.In vitro analysis revealed that LHN^(TMZ) and LHNrutin decelerated epithelial-mesenchymal transition and growth of stem-like cells,while the combination,LHN^(TMZ)+rutin,significantly reduced sphere size compared to untreated and LHNTMZ-treated cells(P<0.0001).In an orthotopic C6-induced GB rat model,LHNTMZ+rutin therapy demonstrated a more pronounced tumor-reducing effect than LHNTMZ alone.Tumor volume,assessed by magnetic resonance imaging,was significantly reduced in LHN^(TMZ)+rutin-treated rats compared to untreated controls.Structural changes in tumor mitochondria,reduced membrane potential,and decreased PARP expression indicated the activation of apoptotic pathways in tumor cells,which was further confirmed by a reduction in PHH3,indicating decreased mitotic activity of tumor cells.Additionally,the local application of LHNs in the GB model mitigated aggressive tumor features without causing local tissue inflammation or adverse systemic effects.This was evidenced by a decrease in the angiogenesismarker CD31,the absence of inflammation or necrosis in H&E staining of the cerebellum,increased production of IFN-γ,decreased levels of interleukin-4 in splenic T cells,and lower serum AST levels.Our findings collectively indicate that LHN^(TMZ)+rutin is a promising biocompatible model for the local treatment of GB.

Heterosis in locally adapted sorghum genotypes and potential of hybrids for increased productivity in contrasting environments in Ethiopia

Increased productivity in sorghum has been achieved in the developed world using hybrids.Despite their yield advantage,introduced hybrids have not been adopted in Ethiopia due to the lack of adaptive traits,their short plant stature and small grain size.This study was conducted to investigate hybrid performance and the magnitude of heterosis of locally adapted genotypes in addition to introduced hybrids in three contrasting environments in Ethiopia.In total,139 hybrids,derived from introduced seed parents crossed with locally adapted genotypes and introduced R lines,were evaluated.Overall,the hybrids matured earlier than the adapted parents,but had higher grain yield,plant height,grain number and grain weight in all environments.The lowland adapted hybrids displayed a mean better parent heterosis(BPH) of19%,equating to 1160 kg ha-1and a 29% mean increase in grain yield,in addition to increased plant height and grain weight,in comparison to the hybrids derived from the introduced R lines.The mean BPH for grain yield for the highland adapted hybrids was 16% in the highland and 52%in the intermediate environment equating to 698 kg ha-1and 2031 kg ha-1,respectively,in addition to increased grain weight.The magnitude of heterosis observed for each hybrid group was related to the genetic distance between the parental lines.The majority of hybrids also showed superiority over the standard check varieties.In general,hybrids from locally adapted genotypes were superior in grain yield,plant height and grain weight compared to the high parents and introduced hybrids indicating the potential for hybrids to increase productivity while addressing farmers' required traits.

Robust TDOA/FDOA estimation from emitter signals for hybrid localization using UAVs

This paper considers the time difference of arrival(TDOA)and frequency difference of arrival(FDOA)estimation problem for joint localization using unmanned aerial vehicles(UAVs),involving range migration(RM)and Doppler ambiguity within observation interval.A robust estimation method based on interpolation and resampling is proposed.Specifically,the interpolation artificially increases the pulse repetition frequency(PRF).After that,the resampling eliminates the coupling between range frequency and slow time.Finally,a coherent integration step based on inverse discrete Fourier transform(IDFT)is used to achieve parameter estimation and suppress the grating lobes caused by interpolation.The proposed method could be efficiently implemented by fast Fourier transform(FFT),inverse FFT(IFFT)and non-uniform FFT(NUFFT)without parameter searching procedures.Numerical experiments indicate that the proposed method has nearly optimal anti-noise performance but much lower computational complexity than the maximum likelihood estimator,which makes it more competitive in practical applications.

Bi-level hybrid local search approach for three-dimensional loading problem with balancing constraints

This paper presents a bi-level hybrid local search(BHLS)algorithm for the three-dimensional loading problem with balancing constraints(3DLP-B),where several rectangular boxes with even densities but different sizes are loaded into a single cubic bin to meet the requirements of the space or capacity utilization and the balance of the center of gravity.The proposed algorithm hybridizes a novel framed-layout procedure in which the concept of the core block and its generation strategy are introduced.Once the block-loading sequence has been determined,we can load one block at a time by the designed construction heuristic.Then,the double-search is introduced;its external search procedure generates a list of compact packing patterns while its internal search procedure is used to search the core-block frames and their best distribution locations.The approach is extensively tested on weakly to strongly heterogeneous benchmark data.The results show that it has better performance in improving space utilization rate and balanced condition of the placement than existed techniques:the overall averages from 79.85%to 86.45%were obtained for the balanced cases and relatively high space-usage rate of 89.44%was achieved for the unbalanced ones.

Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province, Vietnam

The groundwater potential map is an important tool for a sustainable water management and land use planning,particularly for agricultural countries like Vietnam.In this article,we proposed new machine learning ensemble techniques namely AdaBoost ensemble(ABLWL),Bagging ensemble(BLWL),Multi Boost ensemble(MBLWL),Rotation Forest ensemble(RFLWL)with Locally Weighted Learning(LWL)algorithm as a base classifier to build the groundwater potential map of Gia Lai province in Vietnam.For this study,eleven conditioning factors(aspect,altitude,curvature,slope,Stream Transport Index(STI),Topographic Wetness Index(TWI),soil,geology,river density,rainfall,land-use)and 134 wells yield data was used to create training(70%)and testing(30%)datasets for the development and validation of the models.Several statistical indices were used namely Positive Predictive Value(PPV),Negative Predictive Value(NPV),Sensitivity(SST),Specificity(SPF),Accuracy(ACC),Kappa,and Receiver Operating Characteristics(ROC)curve to validate and compare performance of models.Results show that performance of all the models is good to very good(AUC:0.75 to 0.829)but the ABLWL model with AUC=0.89 is the best.All the models applied in this study can support decision-makers to streamline the management of the groundwater and to develop economy not only of specific territories but also in other regions across the world with minor changes of the input parameters.

Localization and the Chinese Overseas： Acculturation, Assimilation, Hybridization, Creolization, and Identification

Based on materials on the localized Chinese overseas, including the Melaka Babas, who are mostly Malay-speaking Chinese, this article reflects on the use of such terms as acculturation and assimilation, as well as hybridization and creolization, in relation to highly localized Chinese. All these concepts are seen as different ways of describing cultural formation in transcultural context. In particular, the relevance of using creolization to refer to the kind of creative process of cultural formation beyond its original usage in the Caribbean is discussed. This results in the identification of fragmented creolization as in the case of the Caribbean and a rooted creolization as in the case of the Babas. The author shall first discuss the issues of assimilation and integration, followed by hybridization and creolization. This is followed by the discussion on localization of Chinese overseas and identity. The concluding section provides some remarks on the concepts reviewed, and three main categories of acculturated Chinese are identified, namely, Chinese who are linguistically assimilated but still observe major Chinese traditions, Chinese who are so acculturated to the mainstream society that they hardly practice Chinese traditions, and Chinese who are both highly localized and highly mixed “racially”.

Local Search Algorithm with Hybrid Neighborhood and Its Application to Job Shop Scheduling Problem

A new local search method with hybrid neighborhood for Job shop scheduling problem is developed. The proposed hybrid neighborhood is not only efficient in local search, but also can help overcome entrapments while search procedure get trapped at local optima and carry the search to areas of the feasible set with better prospect. New strategies used for breaking out of entrapments are presented and they are helpful for the procedure to improve local optima. A performance comparison of the proposed method with some best-performing algorithms on all 10-job, 10-machine benchmark problems and the other two problems generated by Fisher and Thompson (ie., FT6 and FT20)is made. The experiment results show the better optimal performance of the proposed algorithm.

Research of Rhine Goose and Heilongjiang Local Goose Hybrid Result

[Objective]The aim is to improve the local goose in Heilongjiang Province（ Zi goose,Huo goose,Heilongjiang white sticky goose） growth rate and production performance,increase the goose economic benefits and change the resource advantage of local into commercial and economic advantages. [Methods]Rhine goose of large size,fast growth,high wool and cashmere was introduced on hybrid improvement. [Results] Improved goose 60 days of age weight was 3. 240 kg,1. 40 kg higher than that of local goose weight; Improved adult male goose weight were 4. 661 kg,female goose 4. 150 kg,0. 50 kg or 0. 80 kg higher than the local goose weight respectively; Improved goose fleece production was 110. 03 g,fleece rate 29. 17%,33. 15 g higher than the local goose prolific wool,fleece rate increased by 12. 71%. [Conclusion] Effect of using Rhine goose to improve Heilongjiang local goose obvious and economic benefit is improved.

Q-Learning-Assisted Meta-Heuristics for Scheduling Distributed Hybrid Flow Shop Problems

The flow shop scheduling problem is important for the manufacturing industry.Effective flow shop scheduling can bring great benefits to the industry.However,there are few types of research on Distributed Hybrid Flow Shop Problems(DHFSP)by learning assisted meta-heuristics.This work addresses a DHFSP with minimizing the maximum completion time(Makespan).First,a mathematical model is developed for the concerned DHFSP.Second,four Q-learning-assisted meta-heuristics,e.g.,genetic algorithm(GA),artificial bee colony algorithm(ABC),particle swarm optimization(PSO),and differential evolution(DE),are proposed.According to the nature of DHFSP,six local search operations are designed for finding high-quality solutions in local space.Instead of randomselection,Q-learning assists meta-heuristics in choosing the appropriate local search operations during iterations.Finally,based on 60 cases,comprehensive numerical experiments are conducted to assess the effectiveness of the proposed algorithms.The experimental results and discussions prove that using Q-learning to select appropriate local search operations is more effective than the random strategy.To verify the competitiveness of the Q-learning assistedmeta-heuristics,they are compared with the improved iterated greedy algorithm(IIG),which is also for solving DHFSP.The Friedman test is executed on the results by five algorithms.It is concluded that the performance of four Q-learning-assisted meta-heuristics are better than IIG,and the Q-learning-assisted PSO shows the best competitiveness.

GRAPES Hybrid-3DVar对台风苏迪罗的数值试验

为了把反映天气形势变化的背景误差协方差引入到变分分析系统中来提高分析质量,本文在GRAPES区域三维变分框架的基础上通过扩展控制变量方法实现动态与静态背景误差协方差耦合,建立混合三维变分分析系统(GRAPES Hybrid-3DVar)。通过控制变量扰动产生的集合样本进行单点观测分析试验验证Hybrid-3DVar及其局地化方案的合理性,并针对台风苏迪罗进行实际观测资料同化和数值预报试验,结果表明:用集合样本描述的背景误差协方差是随着天气流型变化的,动力场和质量场的离散度在台风中心处最大,因而混合同化的分析增量包含更多细微结构和中小尺度信息;其分析和24 h内预报要素质量优于3DVar,24 h内降水强度和落区预报也更准确,混合同化分析改善了3DVar分析的降水空报问题;同时混合同化分析的24 h内台风路径预报也最接近实况,台风强度预报在48 h之内都比3DVar更接近观测。

Differential evolution algorithm for hybrid flow-shop scheduling problems

Aiming at the hybrid flow-shop （HFS） scheduling that is a complex NP-hard combinatorial problem with wide engineering background, an effective algorithm based on differential evolution （DE） is proposed. By using a special encoding scheme and combining DE based evolutionary search and local search, the exploration and exploitation abilities are enhanced and well balanced for solving the HFS problems. Simulation results based on some typical problems and comparisons with some existing genetic algorithms demonstrate the proposed algorithm is effective, efficient and robust for solving the HFS problems.

Application of hybrid operating rooms for treating spinal dural arteriovenous fistula

BACKGROUND A hybrid operating room(hybrid-OR)is a surgical space that combines a conventional operating room with advanced medical imaging devices.AIM To explore and summarize the technical features and effectiveness of the application of a hybrid-OR in dealing with spinal dural arteriovenous fistulas(SDAVFs).METHODS Eleven patients with SDAVFs were treated with the use of a hybrid-OR at the Department of Neurosurgery of our hospital between January 2015 and December 2018.The dual-marker localization technique was used in the hybrid-OR to locate the SDAVFs and skin incision,and the interoperative digital subtraction angiography(DSA)technique was used before and after microsurgical ligation of the fistulae in the hybrid-OR to verify the accuracy of obliteration.The patients were followed for an average of 2 years after the operation,and the preoperative American Spinal Cord Injury Association(ASIA)score and postoperative ASIA score at 6 mo after the operation were compared.RESULTS The location and skin incision of the SDAVFs were accurately obtained by using the dual-marker localization technique in the hybrid-OR in all patients,and there were no cases that required expansion of the range of the bone window in order to expose the lesions.Intraoperative error obliteration occurred and was identified in two patients by using the intraoperative DSA technique;therefore,the findings provided by the intraoperative DSA system significantly changed the surgical procedure in these two patients.With the assistance of the hybrid-OR,the feeding artery was correctly ligated in all cases,and the intraoperative error obliteration rate decreased from 18.2%(2/11)to 0%.All 11 patients were followed for an average of 2 years.The ASIA score at 6 mo after the operation was significantly improved compared with the preoperative ASIA score,and there were no patients with late recurrence during the follow-up.CONCLUSION Compared with intra-arterial embolization for the treatment of SDAVFs,hybrid-ORs can solve the problem of a higher incidence of initial failure and late recurrence.Compared with direct occlusion of SDAVFs in microsurgery,hybrid-ORs can take advantage of the intraoperative DSA system for locating the shunt and verifying the obliteration of fistulae in order to reduce the error obliteration rate.At this point,our experience suggests that the safety and ease of use make hybrid-ORs combined with microsurgery and intraoperative DSA systems an attractive modality for dealing with SDAVFs.

A nuclear localized protein ZCCHC9 is expressed in cerebral cortex and suppresses the MAPK signal pathway

The CCHC-type zinc finger motif has numerous biological activities （such as DNA binding and RNA binding） and can also mediate protein-protein interaction. This article gives a primary report about the human ZCCHC9 gene. Protein ZCCHC9 contains four CCHC motifs and is highly conserved in humans, mice, and rats. The whole eDNA sequence of the ZCCHC9 gene has been amplified by PCR and a number of plasmids have been constructed for further study. The results show that ZCCHC9 is localized in the nucleus, and especially concentrated in the nueleolus. It is highly expressed in the brain and testicles of the mouse. This has been confirmed by real-time reverse transcription polymerase chain reaction （RT-PCR）. In situ hybridization of the mouse brain indicates that ZCCHC9 is mainly expressed in the cerebral cortex. Reporter gene assay shows that ZCCHC9 suppresses the transcription activities of NF-kappa B and SRE, and may play roles in the Mitogen-Aetivated Protein Kinase （MAPK） signaling transduetion pathway.

The Dynamics of Changes in Starch and Lipid Droplets and Sub-Cellular Localization of β-Amylase During the Growth of Lily Bulbs

The ultra-structure of mother and outer daughter scales of Lilium Oriental hybrid Sorbonne were studied using transmission electron microscope to examine the sub-cellular localization of starch and lipid droplets during growth and development from shoot emergence to senescence.The contents of starch granules and lipid droplets in the cell of the mother scales decreased significantly from shoot emergence to anthesis,indicating that these scales served as a source for growth and development.After flowering,the number of starch granules and lipid droplets increased dramatically,and finally the cells were filled with the above molecules indicating that the bulb becomes a major sink during bulb enlargement.Ultrastructure observation also showed that symplastic pathway is the main pathway in cells in the exchange and transportation of material during bulb development.The activity of β-amylase,one of the key enzymes catalyzing starch breakdown,showed a similar trend.The enzyme sub-cellular localization via immune-gold electron-microscopy showed that βamylase was predominantly located together with starch granules,while the gold particles were scarcely found in other sub-cellular compartments.The result suggested that this enzyme is compartmented together with its functional substrate supporting its function in catalyzing starch breakdown in living plant cells.

Chromosomal localization of 5S rDNA in Chinese shrimp (Fenneropenaeus chinensis):a chromosome-specific marker for chromosome identification

Chinese shrimp （Fenneropenaeus chinensis） is an economically important aquaculture species in China. However, cytogenetic and genomic data is limited in the organism partly because the chromosomes are difficult to isolate and analyze. In this study, fluorescence in-situ hybridization （FISH） was used to identify the chromosomes of F. chinensis. The 5S ribosomal RNA gene （rDNA） of F. chinensis was isolated, cloned and then used as a hybridization probe. The results show that the 5S rDNA was located on one pair of homologous chromosomes in F chinensis. In addition, triploid shrimp were used to evaluate the feasibility of chromosome identification using FISH and to validate the method. It was confirmed that 5S rDNA can be used as a chromosome-specific probe for chromosome identification in E chinensis. The successful application ofFISH in E chinensis shows that chromosome-specific probes can be developed and this finding will facilitate further research on the chromosomes ofpenaeid shrimps.

Decentralized PD Control for Non-uniform Motion of a Hamiltonian Hybrid System

In this paper, a decentralized proportional-derivative （PD） controller design for non-uniform motion of a Hamiltonian hybrid system is considered. A Hamiltonian hybrid system with the capability of producing a non-uniform motion is developed. The structural properties of the system are investigated by means of the theory of Hamiltonian systems. A relationship between the parameters of the system and the parameters of the proposed decentralized PD controller is shown to ensure local stability and tracking performance. Simulation results are included to show the obtained non-uniform motion.

Solving Travelling Salesman Problem with an Improved Hybrid Genetic Algorithm

We present an improved hybrid genetic algorithm to solve the two-dimensional Eucli-dean traveling salesman problem (TSP), in which the crossover operator is enhanced with a local search. The proposed algorithm is expected to obtain higher quality solutions within a reasonable computational time for TSP by perfectly integrating GA and the local search. The elitist choice strategy, the local search crossover operator and the double-bridge random mutation are highlighted, to enhance the convergence and the possibility of escaping from the local optima. The experimental results illustrate that the novel hybrid genetic algorithm outperforms other genetic algorithms by providing higher accuracy and satisfactory efficiency in real optimization processing.

Sensing Matrix Optimization for Multi-Target Localization Using Compressed Sensing in Wireless Sensor Network

In the multi-target localization based on Compressed Sensing(CS),the sensing matrix's characteristic is significant to the localization accuracy.To improve the CS-based localization approach's performance,we propose a sensing matrix optimization method in this paper,which considers the optimization under the guidance of the t%-averaged mutual coherence.First,we study sensing matrix optimization and model it as a constrained combinatorial optimization problem.Second,the t%-averaged mutual coherence is adopted as the optimality index to evaluate the quality of different sensing matrixes,where the threshold t is derived through the K-means clustering.With the settled optimality index,a hybrid metaheuristic algorithm named Genetic Algorithm-Tabu Local Search(GA-TLS)is proposed to address the combinatorial optimization problem to obtain the final optimized sensing matrix.Extensive simulation results reveal that the CS localization approaches using different recovery algorithms benefit from the proposed sensing matrix optimization method,with much less localization error compared to the traditional sensing matrix optimization methods.

In Situ Formed Tribofilms as Efficient Organic/Inorganic Hybrid Interlayers for Stabilizing Lithium Metal Anodes

The practical application of Li metal anodes(LMAs)is limited by uncontrolled dendrite growth and side reactions.Herein,we propose a new friction-induced strategy to produce high-performance thin Li anode(Li@CFO).By virtue of the in situ friction reaction between fluoropolymer grease and Li strips during rolling,a robust organic/inorganic hybrid interlayer(lithiophilic LiF/LiC_(6)framework hybridized-CF_(2)-O-CF_(2)-chains)was formed atop Li metal.The derived interface contributes to reversible Li plating/stripping behaviors by mitigating side reactions and decreasing the solvation degree at the interface.The Li@CFO||Li@CFO symmetrical cell exhibits a remarkable lifespan for 5,600 h(1.0 mA cm^(-2)and 1.0 mAh cm^(-2))and 1,350 cycles even at a harsh condition(18.0 mA cm^(-2)and 3.0 mAh cm^(-2)).When paired with high-loading LiFePO4 cathodes,the full cell lasts over 450 cycles at 1C with a high-capacity retention of 99.9%.This work provides a new friction-induced strategy for producing high-performance thin LMAs.