On the Translation of Hybridity in the Chinese Version of Saving Fish from Drowning in the Light of Bakhtin's Theory of Dialogue

In translation, hybridity often poses a big challenge to the translator, especially when the hybrid text is a novel. The au-thor of this paper hopes to contribute to the study of the translation of hybridity in English novels by drawing on Bakhtin's theory ofdialogue. By analyzing the translation of linguistic hybridity in Saving Fish from Drowning, the author of this paper finds that thetranslation by Caiju is not good enough and tries to provide a new direction by virtue of which translators can choose right transla-tion strategies.

Hybridity in Disgrace

John Maxwell Coetzee's masterpiece-Disgrace is the representative work about post colonialism. The novel describes a series of disgraceful events happened between the white and the black in the post apartheid South Africa. The famous literature theory- hybridity of Homi K. Bhabha is the very key theory to analyze the work. In post apartheid South Africa, hybridity is the only way for the white and the black to coexist.

“Hybridity”in Two English Versions of Tian-Jing-Sha-Qiusi

For Chinese poetry to be effectively translated into English,one should take many factors into account,such as the translation of images,the conveyance of the general mood,and cultural transmission.Therefore,poetry translation has long been regarded as a significant part of literature translation,which arouses much discussion on translation strategies and methodologies.As a representative of post-colonial theorists,Homi K.Bhabha proposes the notion of"Hybridity",which sheds lights on the strategies and processes of translation.From the perspective of Hybridity,this paper makes a tentative analysis of two English versions of the Chinese Qu poem Tian-Jing-Sha-Qiusi,emphasizing the hybrid of different cultures as an important approach to poetry translation.

Theatrical Hybridity, Thy Name Is Conflict： A Case Study on Holo Taiwan Residents Opera Troupe＇s Tai Tzu Fu Chou （The Prince＇s Vengeful Plan）

Holo Taiwan Residents Opera Troupe has produced a series of intercultural performances in Taiwan Residents Opera since the troupe adapted Nikolai Vasilievich Gogol＇s （1809-1852） The Government Inspector in 1996. In fact, there is a huge controversy over these intercultural performances which fuse western drama with traditional Taiwan Residents performing art because such a kind of theatrical hybridity lacks the spirit of the original and damages the aesthetics of native performing art practice. In 2002, Holo adapted William Shakespeare＇s Hamlet into a six-hour-long performance, Tai Tzu Fu Chou （The Prince＇s Vengeful Plan）, which the troupe tried to explore new source for traditional Taiwan Residents Opera and expected to bring something new to Taiwan Residents audience. However, The Prince＇s Vengeful Plan is considered ＂cultural collage＂ as well as an unsuccessful intercultural performance. Besides, The Prince＇s Vengeful Plan is accused to blaspheme Shakespeare because the performance merely maintains the frame of the original and distorts the spirit of the original. According to Rustom Bharucha, the most problematic aspect of intercultural performance is ＂de-historicizing tendency＂, and such a condition explains why Holo＇s The Prince＇s Vengeful Plan cannot transcend the original. In order to detect the problems of intercultural adaptation in Holo＇s The Prince Vengeful Plan, we cover the related issues in three aspects： （1） to discuss the development of Taiwan Residents Opera in Taiwan; （2） to explore the cultural conflicts when the text of the source culture is adapted into the performance of the target culture; and （3） to see how and why the spirit and aesthetics of Shakespeare＇s verses in Hamlet are distorted in Holo＇s theatrical adaptation. After that, we expect to conclude the impossibility of adapting Shakespeare＇s play into traditional Taiwan Residents Opera in the case of Holo＇s The Prince＇s Vengeful Plan.

Hybridity and Media Translation

In recent years,abundant words with Chinese characteristics in media translation show that on the one hand,the unique society,politics,economics and culture,and on the other hand,the important source of foreign words.According to post colonial cultural translation theory,through different hybridization tactics,they formed the third part,which is different from the source language and target language,and is the product of globalization.This notion of hybridity not only has great bearing on translators’selection of translating strategies,but also helps to change some of the accepted conception about translation,and thus enables us to have a better understanding of media translation.This promotes China’s discourse power in international society and the objectivity of reports of China,which constructs the third space in media translation between the West and China.

Hybridity of the Self Between Desh (Home) and Pardesh (Abroad)

This paper examines the formation of the self in the context of emigration and the Indian individual in the Anglo-American space, in the novels: Fasting, Feasting by Anita Desai, The Inheritance of Loss by Kiran Desai, and The Namesake by Jhumpa Lahiri. The analysis focuses on exploring the way in which the hyphenated self is constructed under the influences of dialogical negotiation of desh and pardesh in the context of racism, global-local (glocal) specificity, becoming authenic under the presure of home memory, diaspora ethnicity and mimicry. Is reterritorialization and acculturation successful for the hybrid self? The answers is to be found by the characters of the novels and shown in instances of self expression and integration. Arun, the Indian guy, from Anita Desai’s novel left India for studying in America. During the summer, he is accommodated to an American family. The clash between the two cultures, traditions, and customs is felt as a huge breakage, which leads to desintegration and alienation. Biju and Harish-Harry from Kiran Desai’s novel go to America for a better living, and they succeeed in finding a job at a bakery. The impact of racism is higher in the lower strata of the society, thus their chances to integration are lost;Biju decides to return home, while Harish-Harry ends in a hyphenated self and a dissatisfied living. In The Namesake, Ashoke and Ashima, the Indian emigrants husband and wife, experience a different reshaping of identity. Ashoke works as a university assistant, while Ashima is a housewife. For him, America is a space for affirmation and self-verification, while for his wife, the space becomes a ghetto where she feels lonely and marginalised. Therefore, in the formation of the self there are many coordinates which should be taken into consideration and above this, their impact over the immigrant is different from case to case depending on many factors.

Hybridity in Embedded Computing Systems

An embedded system is a system that computer is used as a componelit ina larger device. In this paper, we study hybridity in embedded systems andpresent an interval based temporal logic to express and reason about hybridproperties of such ldnd of systems.

颈椎前路Hybrid手术和颈椎后路单开门椎管扩大成形术治疗多节段脊髓型颈椎病临床疗效分析

目的:分析颈椎前路Hybrid手术和颈椎后路单开门椎管扩大成形术(EODL)治疗多节段脊髓型颈椎病的疗效,探讨多节段脊髓型颈椎病患者手术方式的选择。方法:对2017年7月—2020年7月在首都医科大学附属北京中医医院手术治疗的70例多节段脊髓型颈椎病患者进行回顾性分析,根据手术方式不同,分为前路组35例和后路组35例,前路组患者行Hybrid手术[颈椎前路椎间盘切除融合术(ACDF)联合人工颈椎间盘置换术(ACDR)],后路组患者行EODL。记录2组患者住院时间、手术时间、术中出血量和术后引流量,通过日本骨科协会(JOA)评分、JOA改善率、颈椎残障功能指数(NDI)、疼痛视觉模拟评分(VAS)和术后满意度评分进行疗效评价,统计2组患者术后并发症发生情况。结果:与后路组比较,前路组患者术中出血量、术后引流量、住院时间和手术时间均明显减少(P<0.01),术前各项评分差异无统计学意义(P>0.05)。末次随访时,与后路组比较,前路组患者JOA评分和JOA改善率明显升高(P<0.01),NDI评分和VAS评分明显降低(P<0.01)。与术前比较,末次随访时2组患者JOA评分明显升高(P<0.01),NDI和VAS评分均明显降低(P<0.01)。按术后满意度评分评价,2组患者术后满意度均较高。2组患者术后并发症发生率比较差异无统计学意义(P>0.05)。结论:颈椎前路Hybrid手术和EODL在治疗多节段脊髓型颈椎病方面均取得了较为满意的疗效。Hybrid手术具有出血量少和手术时间短等优点,临床上应根据患者实际情况选择最适宜的术式。

溅射技术与基体偏压对TiB_(x)涂层结构和力学性能的影响

目的改善TiB_(x)涂层的残余应力,提高其力学性能。方法采用不同的磁控溅射技术(dcMS、HiPMS、Hybrid)和基体偏压制备TiB_(x)涂层。通过电子探针显微分析仪(EPMA)测试TiB_(x)涂层的化学成分,采用扫描电子显微镜(SEM)和X射线衍射仪(XRD)表征涂层的表面形貌、组织结构特征、相组成和择优取向,通过sin^(2)ψ法、纳米压痕仪和洛氏压痕法分别测试TiB_(x)涂层的残余应力、纳米硬度和膜层/基体结合强度。结果溅射技术和基体偏压对TiB_(x)涂层的组织结构和力学性能都有着显著的影响。在基体旋转条件下,不同溅射技术和基体偏压制备的涂层均呈现出TiB_(2)-(001)择优取向。随基体偏压的升高,涂层的残余应力呈现出先增大、后减小的规律。偏压相同时,HiPIMS技术制备的TiB_(x)涂层具有最高的残余应力。随着基体偏压的增加,TiB_(x)涂层的纳米硬度和弹性模量不断增加,在偏压为–130 V时,Hybrid-TiB_(x)涂层具有最高的纳米硬度(40.1GPa)。偏压相同时,dcMS-TiB_(x)和Hybrid-TiB_(x)涂层表现出优异的膜层/基体结合强度(HF1-HF2级),而HiPIMS涂层表现出较差的膜层/基体结合强度(HF1-HF4级)。结论溅射技术和基体偏压对TiB_(x)涂层的微观组织结构和力学性能有着重要的影响,Hybrid模式结合了dcMS模式和HiPMS模式的优点,Hybrid-TiB_(x)涂层呈现出最优的综合力学性能(高的纳米硬度、沉积速率和膜层/基体结合强度)。

Hybrid model for BOF oxygen blowing time prediction based on oxygen balance mechanism and deep neural network

The amount of oxygen blown into the converter is one of the key parameters for the control of the converter blowing process,which directly affects the tap-to-tap time of converter. In this study, a hybrid model based on oxygen balance mechanism (OBM) and deep neural network (DNN) was established for predicting oxygen blowing time in converter. A three-step method was utilized in the hybrid model. First, the oxygen consumption volume was predicted by the OBM model and DNN model, respectively. Second, a more accurate oxygen consumption volume was obtained by integrating the OBM model and DNN model. Finally, the converter oxygen blowing time was calculated according to the oxygen consumption volume and the oxygen supply intensity of each heat. The proposed hybrid model was verified using the actual data collected from an integrated steel plant in China, and compared with multiple linear regression model, OBM model, and neural network model including extreme learning machine, back propagation neural network, and DNN. The test results indicate that the hybrid model with a network structure of 3 hidden layer layers, 32-16-8 neurons per hidden layer, and 0.1 learning rate has the best prediction accuracy and stronger generalization ability compared with other models. The predicted hit ratio of oxygen consumption volume within the error±300 m^(3)is 96.67%;determination coefficient (R^(2)) and root mean square error (RMSE) are0.6984 and 150.03 m^(3), respectively. The oxygen blow time prediction hit ratio within the error±0.6 min is 89.50%;R2and RMSE are0.9486 and 0.3592 min, respectively. As a result, the proposed model can effectively predict the oxygen consumption volume and oxygen blowing time in the converter.

Accelerating Oxygen Electrocatalysis Kinetics on Metal-Organic Frameworks via Bond Length Optimization

Metal-organic frameworks(MOFs)have been developed as an ideal platform for exploration of the relationship between intrinsic structure and catalytic activity,but the limited catalytic activity and stability has hampered their practical use in water splitting.Herein,we develop a bond length adjustment strategy for optimizing naphthalene-based MOFs that synthesized by acid etching Co-naphthalenedicarboxylic acid-based MOFs(donated as AE-CoNDA)to serve as efficient catalyst for water splitting.AE-CoNDA exhibits a low overpotential of 260 mV to reach 10 mA cm^(−2)and a small Tafel slope of 62 mV dec^(−1)with excellent stability over 100 h.After integrated AE-CoNDA onto BiVO_(4),photocurrent density of 4.3 mA cm^(−2)is achieved at 1.23 V.Experimental investigations demonstrate that the stretched Co-O bond length was found to optimize the orbitals hybridization of Co 3d and O 2p,which accounts for the fast kinetics and high activity.Theoretical calculations reveal that the stretched Co-O bond length strengthens the adsorption of oxygen-contained intermediates at the Co active sites for highly efficient water splitting.

Regulatable Orthotropic 3D Hybrid Continuous Carbon Networks for Efficient Bi-Directional Thermal Conduction

Vertically oriented carbon structures constructed from low-dimen-sional carbon materials are ideal frameworks for high-performance thermal inter-face materials(TIMs).However,improving the interfacial heat-transfer efficiency of vertically oriented carbon structures is a challenging task.Herein,an orthotropic three-dimensional(3D)hybrid carbon network(VSCG)is fabricated by depositing vertically aligned carbon nanotubes(VACNTs)on the surface of a horizontally oriented graphene film(HOGF).The interfacial interaction between the VACNTs and HOGF is then optimized through an annealing strategy.After regulating the orientation structure of the VACNTs and filling the VSCG with polydimethylsi-loxane(PDMS),VSCG/PDMS composites with excellent 3D thermal conductive properties are obtained.The highest in-plane and through-plane thermal conduc-tivities of the composites are 113.61 and 24.37 W m^(-1)K^(-1),respectively.The high contact area of HOGF and good compressibility of VACNTs imbue the VSCG/PDMS composite with low thermal resistance.In addition,the interfacial heat-transfer efficiency of VSCG/PDMS composite in the TIM performance was improved by 71.3%compared to that of a state-of-the-art thermal pad.This new structural design can potentially realize high-performance TIMs that meet the need for high thermal conductivity and low contact thermal resistance in interfacial heat-transfer processes.

MicroRNA-502-3p regulates GABAergic synapse function in hippocampal neurons

Gamma-aminobutyric acid(GABA)ergic neurons,the most abundant inhibitory neurons in the human brain,have been found to be reduced in many neurological disorders,including Alzheimer's disease and Alzheimer's disease-related dementia.Our previous study identified the upregulation of microRNA-502-3p(miR-502-3p)and downregulation of GABA type A receptor subunitα-1 in Alzheimer's disease synapses.This study investigated a new molecular relationship between miR-502-3p and GABAergic synapse function.In vitro studies were perfo rmed using the mouse hippocampal neuronal cell line HT22 and miR-502-3p agomiRs and antagomiRs.In silico analysis identified multiple binding sites of miR-502-3p at GABA type A receptor subunitα-1 mRNA.Luciferase assay confirmed that miR-502-3p targets the GABA type A receptor subunitα-1 gene and suppresses the luciferase activity.Furthermore,quantitative reve rse transcription-polymerase chain reaction,miRNA in situ hybridization,immunoblotting,and immunostaining analysis confirmed that overexpression of miR-502-3p reduced the GABA type A receptor subunitα-1 level,while suppression of miR-502-3p increased the level of GABA type A receptor subunitα-1 protein.Notably,as a result of the overexpression of miR-502-3p,cell viability was found to be reduced,and the population of necrotic cells was found to be increased.The whole cell patch-clamp analysis of human-GABA receptor A-α1/β3/γ2L human embryonic kidney(HEK)recombinant cell line also showed that overexpression of miR-502-3p reduced the GABA current and overall GABA function,suggesting a negative correlation between miR-502-3p levels and GABAergic synapse function.Additionally,the levels of proteins associated with Alzheimer s disease were high with miR-502-3p overexpression and reduced with miR-502-3p suppression.The present study provides insight into the molecular mechanism of regulation of GABAergic synapses by miR-502-3p.We propose that micro-RNA,in particular miR-502-3p,could be a potential therapeutic to rget to modulate GABAergic synapse function in neurological disorders,including Alzheimer's disease and Alzheimer's diseaserelated dementia.

Hybrid手术对Stanford B型主动脉夹层疗效的研究进展

主动脉夹层主要通过使用假体移植物的开胸手术修复来治疗。在过去的10年里,胸主动脉腔内修复术(TEVAR)已成为一种创伤更小、潜在更安全的治疗方法。然而,单一的微创腔内修复术在缺乏足够的锚定区的Stanford B型主动脉夹层(TBAD)患者上有其局限性。因此,结合了外科手术及胸主动脉腔内修复术的Hy‐brid手术(或称为杂交手术),通过外科手段重建左颈总动脉和左锁骨下动脉的弓上分流术,再结合微创腔内修复术,显著减少患者在外科手术中并发症的发生率,且提高了那些常规胸主动脉腔内修复术缺乏理想锚定区患者的生存率。

Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models

Accurate soil moisture(SM)prediction is critical for understanding hydrological processes.Physics-based(PB)models exhibit large uncertainties in SM predictions arising from uncertain parameterizations and insufficient representation of land-surface processes.In addition to PB models,deep learning(DL)models have been widely used in SM predictions recently.However,few pure DL models have notably high success rates due to lacking physical information.Thus,we developed hybrid models to effectively integrate the outputs of PB models into DL models to improve SM predictions.To this end,we first developed a hybrid model based on the attention mechanism to take advantage of PB models at each forecast time scale(attention model).We further built an ensemble model that combined the advantages of different hybrid schemes(ensemble model).We utilized SM forecasts from the Global Forecast System to enhance the convolutional long short-term memory(ConvLSTM)model for 1–16 days of SM predictions.The performances of the proposed hybrid models were investigated and compared with two existing hybrid models.The results showed that the attention model could leverage benefits of PB models and achieved the best predictability of drought events among the different hybrid models.Moreover,the ensemble model performed best among all hybrid models at all forecast time scales and different soil conditions.It is highlighted that the ensemble model outperformed the pure DL model over 79.5%of in situ stations for 16-day predictions.These findings suggest that our proposed hybrid models can adequately exploit the benefits of PB model outputs to aid DL models in making SM predictions.

Activation Redistribution Based Hybrid Asymmetric Quantization Method of Neural Networks

The demand for adopting neural networks in resource-constrained embedded devices is continuously increasing.Quantization is one of the most promising solutions to reduce computational cost and memory storage on embedded devices.In order to reduce the complexity and overhead of deploying neural networks on Integeronly hardware,most current quantization methods use a symmetric quantization mapping strategy to quantize a floating-point neural network into an integer network.However,although symmetric quantization has the advantage of easier implementation,it is sub-optimal for cases where the range could be skewed and not symmetric.This often comes at the cost of lower accuracy.This paper proposed an activation redistribution-based hybrid asymmetric quantizationmethod for neural networks.The proposedmethod takes data distribution into consideration and can resolve the contradiction between the quantization accuracy and the ease of implementation,balance the trade-off between clipping range and quantization resolution,and thus improve the accuracy of the quantized neural network.The experimental results indicate that the accuracy of the proposed method is 2.02%and 5.52%higher than the traditional symmetric quantization method for classification and detection tasks,respectively.The proposed method paves the way for computationally intensive neural network models to be deployed on devices with limited computing resources.Codes will be available on https://github.com/ycjcy/Hybrid-Asymmetric-Quantization.

Enhancing rock fragmentation prediction in mining operations:A hybrid GWO-RF model with SHAP interpretability

In the mining industry,precise forecasting of rock fragmentation is critical for optimising blasting processes.In this study,we address the challenge of enhancing rock fragmentation assessment by developing a novel hybrid predictive model named GWO-RF.This model combines the grey wolf optimization(GWO)algorithm with the random forest(RF)technique to predict the D_(80)value,a critical parameter in evaluating rock fragmentation quality.The study is conducted using a dataset from Sarcheshmeh Copper Mine,employing six different swarm sizes for the GWO-RF hybrid model construction.The GWO-RF model’s hyperparameters are systematically optimized within established bounds,and its performance is rigorously evaluated using multiple evaluation metrics.The results show that the GWO-RF hybrid model has higher predictive skills,exceeding traditional models in terms of accuracy.Furthermore,the interpretability of the GWO-RF model is enhanced through the utilization of SHapley Additive exPlanations(SHAP)values.The insights gained from this research contribute to optimizing blasting operations and rock fragmentation outcomes in the mining industry.

Dual-ion carrier storage through Mg^(2+) addition for high-energy and long-life zinc-ion hybrid capacitor

Cation additives can efficiently enhance the total electrochemical capabilities of zinc-ion hybrid capacitors (ZHCs).However their energy storage mechanisms in zinc-based systems are still under debate.Herein,we modulate the electrolyte and achieve dual-ion storage by adding magnesium ions.And we assemble several Zn//activated carbon devices with different electrolyte concentrations and investigate their electrochemical reaction dynamic behaviors.The zinc-ion capacitor with Mg^(2+)mixed solution delivers 82 mAh·g^(-1)capacity at 1 A·g^(-1) and maintains 91%of the original capacitance after 10000 cycling.It is superior to the other assembled zinc-ion devices in single-component electrolytes.The finding demonstrates that the double-ion storage mechanism enables the superior rate performance and long cycle lifetime of ZHCs.

Electrostatic Interaction-directed Construction of Hierarchical Nanostructured Carbon Composite with Dual Electrical Conductive Networks for Zinc-ion Hybrid Capacitors with Ultrastability

Metal-organic framework(MOF)-derived carbon composites have been considered as the promising materials for energy storage.However,the construction of MOF-based composites with highly controllable mode via the liquid-liquid synthesis method has a great challenge because of the simultaneous heterogeneous nucleation on substrates and the self-nucleation of individual MOF nanocrystals in the liquid phase.Herein,we report a bidirectional electrostatic generated self-assembly strategy to achieve the precisely controlled coatings of single-layer nanoscale MOFs on a range of substrates,including carbon nanotubes(CNTs),graphene oxide(GO),MXene,layered double hydroxides(LDHs),MOFs,and SiO_(2).The obtained MOF-based nanostructured carbon composite exhibits the hierarchical porosity(V_(meso)/V_(micro)∶2.4),ultrahigh N content of 12.4 at.%and"dual electrical conductive networks."The assembled aqueous zinc-ion hybrid capacitor(ZIC)with the prepared nanocarbon composite as a cathode shows a high specific capacitance of 236 F g^(-1)at 0.5 A g^(-1),great rate performance of 98 F g^(-1)at 100 A g^(-1),and especially,an ultralong cycling stability up to 230000 cycles with the capacitance retention of 90.1%.This work develops a repeatable and general method for the controlled construction of MOF coatings on various functional substrates and further fabricates carbon composites for ZICs with ultrastability.

p-d Orbital Hybridization Engineered Single-Atom Catalyst for Electrocatalytic Ammonia Synthesis

The rational design of metal single-atom catalysts(SACs)for electrochemical nitrogen reduction reaction(NRR)is challenging.Two-dimensional metal-organic frameworks(2DMOFs)is a unique class of promising SACs.Up to now,the roles of individual metals,coordination atoms,and their synergy effect on the electroanalytic performance remain unclear.Therefore,in this work,a series of 2DMOFs with different metals and coordinating atoms are systematically investigated as electrocatalysts for ammonia synthesis using density functional theory calculations.For a specific metal,a proper metal-intermediate atoms p-d orbital hybridization interaction strength is found to be a key indicator for their NRR catalytic activities.The hybridization interaction strength can be quantitatively described with the p-/d-band center energy difference(Δd-p),which is found to be a sufficient descriptor for both the p-d hybridization strength and the NRR performance.The maximum free energy change(ΔG_(max))andΔd-p have a volcanic relationship with OsC_(4)(Se)_(4)located at the apex of the volcanic curve,showing the best NRR performance.The asymmetrical coordination environment could regulate the band structure subtly in terms of band overlap and positions.This work may shed new light on the application of orbital engineering in electrocatalytic NRR activity and especially promotes the rational design for SACs.