Evolution of United States Technology Alliance Strategy and Reshaping of International Strategic Landscape

Building a technology alliance is the main strategy for the United States to maintain its scientific and technological hegemony under its technopolitical strategic framework.After Joe Biden took office,the United States implemented“small yard with high fences”strategy for scientific and technological competition,as the first step toward building a technology alliance.The main goal is to restrict the flow of strategic emerging technologies and factors of innovation to rival countries.

Cu-based materials for electrocatalytic CO_(2) to alcohols:Reaction mechanism,catalyst categories,and regulation strategies

Electrocatalytic CO_(2) reduction reaction(CO_(2)RR)technology,which enables carbon capture storage and resource utilization by reducing CO_(2) to valuable chemicals or fuels,has become a global research hotspot in recent decades.Among the many products of CO_(2)RR(carbon monoxide,acids,aldehydes and alcohols,olefins,etc.),alcohols(methanol,ethanol,propanol,etc.)have a higher market value and energy density,but it is also more difficult to produce.Copper is known to be effective in catalyzing CO_(2) to high valueadded alcohols,but with poor selectivity.The progress of Cu-based catalysts for the selective generation of alcohols,including copper oxides,bimetals,single atoms and composites is reviewed.Meanwhile,to improve Cu-based catalyst activity and modulate product selectivity,the modulation strategies are straighten out,including morphological regulation,crystalline surface,oxidation state,as well as elemental doping and defect engineering.Based on the research progress of electrocatalytic CO_(2) reduction for alcohol production on Cu-based materials,the reaction pathways and the key intermediates of the electrocatalytic CO_(2)RR to methanol,ethanol and propanol are summarized.Finally,the problems of traditional electrocatalytic CO_(2)RR are introduced,and the future applications of machine learning and theoretical calculations are prospected.An in-depth discussion and a comprehensive review of the reaction mechanism,catalyst types and regulation strategies were carried out with a view to promoting the development of electrocatalytic CO_(2)RR to alcohols.

A“Going Concern”and the Need to Fully Integrate Economics in the Business School Curriculum

In response to the recommendation by the American Assembly of Collegiate Schools of Business(AACSB,2002),which urged business schools to embark on interdisciplinary programs to facilitate boundary-spanning teaching and learning,many colleges have conducted one form of curriculum integration or the other.Many of these team-taught course integrations,however,concentrate on core business courses without reaching out to related courses in other disciplines.Moreover,due to some factors,the informational contents of management disclosures in annual reports and audit unqualified opinions may not align with the future viability of an enterprise.Using a“going concern concept”,this paper demonstrates how the addition of economics in business school curriculum integration could produce well-rounded business graduates.Economics concepts could unambiguously support the tests that cast doubts on firms’ability to continue operations.

Reinforcement Learning Based Quantization Strategy Optimal Assignment Algorithm for Mixed Precision

The quantization algorithm compresses the original network by reducing the numerical bit width of the model,which improves the computation speed. Because different layers have different redundancy and sensitivity to databit width. Reducing the data bit width will result in a loss of accuracy. Therefore, it is difficult to determinethe optimal bit width for different parts of the network with guaranteed accuracy. Mixed precision quantizationcan effectively reduce the amount of computation while keeping the model accuracy basically unchanged. In thispaper, a hardware-aware mixed precision quantization strategy optimal assignment algorithm adapted to low bitwidth is proposed, and reinforcement learning is used to automatically predict the mixed precision that meets theconstraints of hardware resources. In the state-space design, the standard deviation of weights is used to measurethe distribution difference of data, the execution speed feedback of simulated neural network accelerator inferenceis used as the environment to limit the action space of the agent, and the accuracy of the quantization model afterretraining is used as the reward function to guide the agent to carry out deep reinforcement learning training. Theexperimental results show that the proposed method obtains a suitable model layer-by-layer quantization strategyunder the condition that the computational resources are satisfied, and themodel accuracy is effectively improved.The proposed method has strong intelligence and certain universality and has strong application potential in thefield of mixed precision quantization and embedded neural network model deployment.

Interplay of Development and Governance in China's Modernization Strategy

High-quality development requires both development-oriented and government-oriented reforms.SINCE 1978,China's policy of reform and opening-up has been pivotal in propelling the nation toward big achievements.Its distinct and unique path of development has been a success due to a system and mechanisms that have been continually fine-tuned and strengthened through ongoing reforms.

Dynamic Pricing Strategies Using Artificial Intelligence Algorithm

Pricing strategies can have a huge impact on a company’s success. This paper focuses on the advantages and disadvantages of using artificial intelligence in dynamic pricing strategies. A good understanding of the possible benefits and challenges will help companies to understand the impact of their chosen pricing strategies. AI-driven Dynamic pricing has great opportunities to increase a firm’s profits. Firms can benefit from personalized pricing based on personal behavior and characteristics, as well as cost reduction by increasing efficiency and reducing the need to use manual work and automation. However, AI-driven dynamic rewarding can have a negative impact on customers’ perception of trust, fairness and transparency. Since price discrimination is used, ethical issues such as privacy and equity may arise. Understanding the businesses and customers that determine pricing strategy is so important that one cannot exist without the other. It will provide a comprehensive overview of the main advantages and disadvantages of AI-assisted dynamic pricing strategy. The main objective of this research is to uncover the most notable advantages and disadvantages of implementing AI-enabled dynamic pricing strategies. Future research can extend the understanding of algorithmic pricing through case studies. In this way, new, practical implications can be developed in the future. It is important to investigate how issues related to customers’ trust and feelings of unfairness can be mitigated, for example by price framing.

Zero-determinant strategies in iterated multi-strategy games

Self-serving,rational agents sometimes cooperate to their mutual benefit.The two-player iterated prisoner′s dilemma game is a model for including the emergence of cooperation.It is generally believed that there is no simple ultimatum strategy which a player can control the return of the other participants.The zero-determinant strategy in the iterated prisoner′s dilemma dramatically expands our understanding of the classic game by uncovering strategies that provide a unilateral advantage to sentient players pitted against unwitting opponents.However,strategies in the prisoner′s dilemma game are only two strategies.Are there these results for general multi-strategy games?To address this question,the paper develops a theory for zero-determinant strategies for multi-strategy games,with any number of strategies.The analytical results exhibit a similar yet different scenario to the case of two-strategy games.The results are also applied to the Snowdrift game,the Hawk-Dove game and the Chicken game.

Neoadjuvant treatment of rectal cancer: Where we are and where we are going

Locally advanced rectal cancer requires a multidisciplinary approach based on total neoadjuvant treatment with radiotherapy(RT)and chemotherapy(ChT),followed by deferred surgery.Currently,alternatives to the standard total neoadjuvant therapy(TNT)are being explored,such as new ChT regimens or the introduction of immunotherapy.With standard TNT,up to a third of patients may achieve a complete pathological response(CPR),potentially avoiding surgery.However,as of now,we lack predictive markers of response that would allow us to define criteria for a conservative organ strategy.The presence of muta-tions,genes,or new imaging tests is helping to define these criteria.An example of this is the diffusion coefficient in the diffusion-weighted sequence of magnetic resonance imaging and the integration of this imaging technique into RT treatment.This allows for the monitoring of the evolution of this coefficient over successive RT sessions,helping to determine which patients will achieve CPR or those who may require intensification of neoadjuvant therapy.

Strategies for Video Producers to Tell Their Good Stories Under the 5W Model of Communication

In recent years,with the rise of video media such as YouTube and Tik Tok,the short video creation industry has emerged.How to spread China's excellent culture and how to“tell a good Chinese story”have become a hot concern.Using the 5W Model of Communication as a framework for analysis,this paper selects Chinese short videos with high popularity on YouTube as the object of the study.Studies found that the success of these videos was associated with five factors in the process of communication,which are communication main forces,communication content,communication channels,communication audience,and audience effects.Through theoretical and data analysis,the study concluded five strategies in video production to help promote Intercultural communication.

Impact of Sedation Protocols on Elderly Patients Undergoing Mechanical Ventilation and Off-Line Weaning

The proportion of elderly patients in intensive care is increasing, and a significant proportion of them require mechanical ventilation. How to implement safe and effective mechanical ventilation for elderly patients, and when appropriate off-line is an important issue in the field of critical care medicine. Appropriate sedation can improve patient outcomes, but excessive sedation may lead to prolonged mechanical ventilation and increase the risk of complications. Elderly patients should be closely monitored and evaluated on an individual basis while offline, and the sedation regimen should be dynamically adjusted. This requires the healthcare team to consider the patient’s sedation needs, disease status, and pharmacodynamics and pharmacokinetics of the drug to arrive at the best strategy. Although the current research has provided valuable insights and strategies for sedation and off-line management, there are still many problems to be further explored and solved.

Exploring Pedagogical Ideologies and Strategies for College English Writing Instruction from a Generative Artificial Intelligence Perspective

This study,drawing on the commonalities between generative artificial intelligence and foreign language writing instruction,outlines the core ideology of digital humanities-based college English writing instruction,including auxiliary use of generative artificial intelligence tools,primary focus on humanistic education,and the re-production of knowledge,aiming to foster students’critical thinking,collaborative skills,and creativity.Building on this foundation,the study delves into generative artificial intelligence tools applicable to different stages of process-genre writing and their strategic applications.The use of generative artificial intelligence tools is beneficial for students to present,discuss,and share writing content,encouraging them to enhance their writing,collaboration,critical thinking,and creative abilities through deep interaction with model essays and creative discourses.

On the Strategic Paths of the Going Global Strategy of Chinese Literature

The going global strategy of Chinese literature is a vital part of the going global strategy of Chinese culture. In recent years,the Chinese government has launched and strongly supported a series of activities and projects to promote this strategy,but little effect has been produced. Starting from analyzing the predicament and reasons of the current strategy,the essay suggests four strategic paths: enhancing the overall strength of the country to promote the international influence of Chinese culture,strengthening cultural awareness and cultural introspection,integrating the nationality and cosmopolitan of literature and establishing a market-oriented literary translation mechanism.

基于Go/No-Go范式的多任务操作实验评估军校学员的反应抑制能力

目的探索军校学员在多任务操作情境中的反应抑制能力特点。方法选择127名军校学员作为被试,采用Go/No-Go范式进行测试,通过重复测量方差分析和分布检验等方法探索模拟驾驶任务的干扰对被试Go/No-Go测试表现的影响。结果对127名被试的测试结果显示,在击中率和虚报率上存在干扰任务和Go试次比例的交互作用,即在没有干扰任务时60%试次比例与40%试次比例条件下被试的击中率和虚报率差异无统计学意义(均P>0.05),而在有干扰任务时60%试次比例条件下被试的击中率和虚报率大于40%试次比例条件(均P<0.01)。在击中率、虚报率和辨别力指标d’上干扰任务的主效应显著(均P<0.01),即干扰任务降低了被试的击中率和辨别力、增大了虚报率。不同被试在有无干扰任务时辨别力的变化不同,根据无干扰任务与有干扰任务时辨别力指标d’的差值的平均数加减1个标准差,可将被试分为易受干扰组23人(18.11%)、不易受干扰组20人(15.75%)和中间组84人(66.14%)。结论干扰任务增加了军校学员在多任务操作时的心理负荷,降低了其反应抑制能力,且军校学员的反应抑制能力存在个体差异。

GO/NiMoO_(4)纳米复合材料的制备以及电化学性能

通过水热法制备了NiMoO_(4)纳米棒前驱体,再通过煅烧的方式制备出超长NiMoO_(4)纳米棒(10μm)。采用超声法将NiMoO_(4)纳米棒均匀附着在氧化石墨烯表面,制备GO/NiMoO_(4)复合材料,借助X射线衍射仪(XRD)研究材料的晶格结构,利用扫描电子显微镜(SEM)及透射电子显微镜(TEM)研究材料的表面形貌和元素组成。在3 mol/L的KOH电解液中,采用三电极体系对GO/NiMoO_(4)纳米复合材料进行循环伏安、恒电流充放电、交流阻抗和循环充放电测试,分析电极的电化学性能。实验结果表明,根据恒电流充放电曲线计算出的比容量,GO/NiMoO_(4)电极在1 A/g时显示出高达721 F/g的高比容量,远高于原始NiMoO_(4)电极405 F/g的比容量;根据循环伏安曲线计算的比容量,与原始的NiMoO_(4)电极相比,GO/NiMoO_(4)电极表现出显著增强的比电容,比电容可高达1 334 F/g、1 171 F/g、896 F/g、750 F/g、646 F/g和567 F/g(5 mV/s、10 mV/s、20 mV/s、30 mV/s、40 mV/s和50 mV/s下),在电流密度为20 A/g时,循环10 000次,GO/NiMoO_(4)的容量保持率达到87.3%,远远高于NiMoO_(4)的66.9%。通过这种简单的方法制备GO/NiMoO_(4)纳米复合材料为未来高性能超级电容器电极材料的选择提供了很有前途的方向,卓越的性能对其未来实际应用有一定的帮助作用。

GO掺杂对TA1钛合金等离子体电解氧化涂层硬度和耐磨性能的影响

本研究在掺杂氧化石墨烯(简称“CO”)的硅酸盐电解液中对TA1钛合金进行等离子体电解氧化处理,旨在获得较高硬度的等离子体电解氧化陶瓷涂层(PEO)。通过表征涂层的物相组成、表面与截面形貌、粗糙度、显微硬度、摩擦因数以及结合力等参数,分析了CO浓度对涂层性能的影响。研究结果表明,CO参与涂层的形成过程,能够有效地减小微孔和裂纹尺寸,表面粗糙度降低。涂层厚度虽然略有降低,但致密性显著增加。与未掺杂GO的PEO涂层相比,当GO掺杂量为0.6g·L^(-1)时掺杂GO的PEO涂层显微硬度提升18.54%,摩擦系数降低84%,临界载荷强度提高32.59%。

静电组装低感度CL-20@GO核壳复合材料的制备及性能研究

为降低六硝基六氮杂异伍兹烷(CL-20)的机械感度,提高其综合性能,以3-氨丙基三乙氧基硅烷(APS)为改性剂对CL-20改性,以氧化石墨烯(GO)为包覆材料,利用静电自组装方法对改性CL-20炸药进行表面包覆,制备得到CL-20@GO核壳复合材料;采用水接触角测试、扫描电子显微镜(SEM)和X射线光电子能谱(XPS)等对样品进行形貌表征;利用差示扫描量热仪(DSC)测试其热性能,并测试了其机械感度。结果表明,经质量分数5%的APS溶液改性的CL-20成功引入氨基基团,亲水性效果最佳;GO层包覆改性CL-20完整,致密性强;与原料CL-20相比,CL-20@GO核壳复合材料的活化能提高了63.0kJ/mol,撞击感度(H 50)由13.0cm提升至23.5cm,摩擦感度由100%降至24%,表明采用静电自组装的GO涂层可以明显降低CL-20的感度。

TEOS-GO掺杂的银基离子聚合物金属复合材料的制备及其致动性能

离子聚合物金属复合材料(IPMC)是一种新型的电驱动软材料,具有质量轻、驱动电压低的优点,但也存在输出力较小、驱动时间短的缺点,限制了其应用前景。提出了一种在基膜内掺杂硅酸乙酯-氧化石墨烯(TEOS-GO)以提高保水性和驱动能力的银基IPMC,通过对纯Nafion IPMC与TEOS-GO/Nafion IPMC致动器的含水量、尖端位移、输出力和稳定性等参数的测试,证实优化后IPMC的驱动性能有明显的提升。实验结果表明,掺杂质量分数1.5%TEOS-GO的IPMC在3 V直流电压下,尖端位移达到16.579 mm,相当于纯Nafion IPMC的3.37倍;输出力最高达到0.439 gf(1 gf=9.8 mN),是纯Nafion IPMC的5倍。这种改进方式弥补了IPMC用于致动器的缺点,为今后的发展开拓了前景。

Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning

BACKGROUND Intensive care unit-acquired weakness(ICU-AW)is a common complication that significantly impacts the patient's recovery process,even leading to adverse outcomes.Currently,there is a lack of effective preventive measures.AIM To identify significant risk factors for ICU-AW through iterative machine learning techniques and offer recommendations for its prevention and treatment.METHODS Patients were categorized into ICU-AW and non-ICU-AW groups on the 14th day post-ICU admission.Relevant data from the initial 14 d of ICU stay,such as age,comorbidities,sedative dosage,vasopressor dosage,duration of mechanical ventilation,length of ICU stay,and rehabilitation therapy,were gathered.The relationships between these variables and ICU-AW were examined.Utilizing iterative machine learning techniques,a multilayer perceptron neural network model was developed,and its predictive performance for ICU-AW was assessed using the receiver operating characteristic curve.RESULTS Within the ICU-AW group,age,duration of mechanical ventilation,lorazepam dosage,adrenaline dosage,and length of ICU stay were significantly higher than in the non-ICU-AW group.Additionally,sepsis,multiple organ dysfunction syndrome,hypoalbuminemia,acute heart failure,respiratory failure,acute kidney injury,anemia,stress-related gastrointestinal bleeding,shock,hypertension,coronary artery disease,malignant tumors,and rehabilitation therapy ratios were significantly higher in the ICU-AW group,demonstrating statistical significance.The most influential factors contributing to ICU-AW were identified as the length of ICU stay(100.0%)and the duration of mechanical ventilation(54.9%).The neural network model predicted ICU-AW with an area under the curve of 0.941,sensitivity of 92.2%,and specificity of 82.7%.CONCLUSION The main factors influencing ICU-AW are the length of ICU stay and the duration of mechanical ventilation.A primary preventive strategy,when feasible,involves minimizing both ICU stay and mechanical ventilation duration.

Engineering Strategies for Suppressing the Shuttle Effect in Lithium–Sulfur Batteries

Lithium–sulfur(Li–S)batteries are supposed to be one of the most potential next-generation batteries owing to their high theoretical capacity and low cost.Nevertheless,the shuttle effect of firm multi-step two-electron reaction between sulfur and lithium in liquid electrolyte makes the capacity much smaller than the theoretical value.Many methods were proposed for inhibiting the shuttle effect of polysulfide,improving corresponding redox kinetics and enhancing the integral performance of Li–S batteries.Here,we will comprehensively and systematically summarize the strategies for inhibiting the shuttle effect from all components of Li–S batteries.First,the electrochemical principles/mechanism and origin of the shuttle effect are described in detail.Moreover,the efficient strategies,including boosting the sulfur conversion rate of sulfur,confining sulfur or lithium polysulfides(LPS)within cathode host,confining LPS in the shield layer,and preventing LPS from contacting the anode,will be discussed to suppress the shuttle effect.Then,recent advances in inhibition of shuttle effect in cathode,electrolyte,separator,and anode with the aforementioned strategies have been summarized to direct the further design of efficient materials for Li–S batteries.Finally,we present prospects for inhibition of the LPS shuttle and potential development directions in Li–S batteries.

How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? d A catchment-scale case study from China

The aim of this study is to investigate the impacts of the sampling strategy of landslide and non-landslide on the performance of landslide susceptibility assessment(LSA).The study area is the Feiyun catchment in Wenzhou City,Southeast China.Two types of landslides samples,combined with seven non-landslide sampling strategies,resulted in a total of 14 scenarios.The corresponding landslide susceptibility map(LSM)for each scenario was generated using the random forest model.The receiver operating characteristic(ROC)curve and statistical indicators were calculated and used to assess the impact of the dataset sampling strategy.The results showed that higher accuracies were achieved when using the landslide core as positive samples,combined with non-landslide sampling from the very low zone or buffer zone.The results reveal the influence of landslide and non-landslide sampling strategies on the accuracy of LSA,which provides a reference for subsequent researchers aiming to obtain a more reasonable LSM.