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.

Re-evaluating the role of pelvic radiation in the age of modern precision medicine and systemic therapy

The efficacy of pelvic radiation in the management of locally advanced stage rectal cancer has come under scrutiny in the context of modern precision medicine and systemic therapy as evidenced by recent clinical trials such as FOWARC(J Clin Oncol 2019;37:3223-3233),NCT04165772(N Engl J Med 2022;386:2363-2376),and PROSPECT(N Engl J Med 2023;389:322-334).In this review,we comprehensively assess these pivotal trials and offer additional insights into the evolving role of pelvic radiation in contemporary oncology.

Precise Rehabilitation Strategies for Functional Impairment in Children with Cerebral Palsy

This paper explores the effect of precise rehabilitation strategies under the international classification of functioning,disability and health for children and youth(ICF-CY)on the motor function of children with cerebral palsy.Under the framework of ICF-CY,the observation team is designed and evaluated from physical functions,activities and participation,environmental factors,and devel-ops individualized rehabilitation strategies that are tailored to individual character-istics.The control group was assessed by traditional methods and treatment plans and measures were formulated and guided.The course of treatment was 12 months.The scores of GMFM-88,Peabody Motor Development Scale-2con-cluding fine motor quotient(PDMS-FM),WeeFIM and the ability of daily living(ADL)scale(Barthel index,BI)score were compared before and after treatment.The research shows that precise rehabilitation strategy mode for children with cer-ebral palsy under the ICF-CY framework can effectively improve the motor func-tion and the ability of daily living(ADL)in children with cerebral palsy.Rehabilitation evaluation and treatment mode of children with cerebral palsy under ICF-CY framework can effectively improve the gross motor function of children with cerebral palsy.Individualized evaluation and analysis and guidance of comprehensive rehabilitation treatment have certain advantages.The overall treatment effect is better than that of traditional rehabilitation evaluation.

Advanced Strategies to Improve Performances of Molybdenum-Based Gas Sensors

Molybdenum-based materials have been intensively investigated for high-performance gas sensor applications.Particularly,molybdenum oxides and dichalcogenides nanostructures have been widely examined due to their tunable structural and physicochemical properties that meet sensor requirements.These materials have good durability,are naturally abundant,low cost,and have facile preparation,allowing scalable fabrication to fulfill the growing demand of susceptible sensor devices.Significant advances have been made in recent decades to design and fabricate various molybdenum oxides-and dichalcogenides-based sensing materials,though it is still challenging to achieve high performances.Therefore,many experimental and theoretical investigations have been devoted to exploring suitable approaches which can significantly enhance their gas sensing properties.This review comprehensively examines recent advanced strategies to improve the nanostructured molybdenum-based material performance for detecting harmful pollutants,dangerous gases,or even exhaled breath monitoring.The summary and future challenges to advance their gas sensing performances will also be presented.

Problems and Strategies in Applications of Advanced Process Control in China

Advanced Process Control （APC） is necessary for oil refining and chemical process in China, but some problems have emerged in the application of APC techniques in this field. This paper discusses the conditions of APC application concerning process design, distributed control system （DCS） choice and regular control. It analyzes the problems and strategies in APC application. Some suggestions are proposed for the enterprise to benefit from APC application.

Advanced glycation end products:Key mediator and therapeutic target of cardiovascular complications in diabetes

The incidence of type 2 diabetes mellitus is growing in epidemic proportions and has become one of the most critical public health concerns.Cardiovascular complications associated with diabetes are the leading cause of morbidity and mortality.The cardiovascular diseases that accompany diabetes include angina,myocardial infarction,stroke,peripheral artery disease,and congestive heart failure.Among the various risk factors generated secondary to hyperglycemic situations,advanced glycation end products(AGEs)are one of the important targets for future diagnosis and prevention of diabetes.In the last decade,AGEs have drawn a lot of attention due to their involvement in diabetic pathophysiology.AGEs can be derived exogenously and endogenously through various pathways.These are a nonhomogeneous,chemically diverse group of compounds formed nonenzymatically by condensation between carbonyl groups of reducing sugars and free amino groups of protein,lipids,and nucleic acid.AGEs mediate their pathological effects at the cellular and extracellular levels by multiple pathways.At the cellular level,they activate signaling cascades via the receptor for AGEs and initiate a complex series of intracellular signaling resulting in reactive oxygen species generation,inflammation,cellular proliferation,and fibrosis that may possibly exacerbate the damaging effects on cardiac functions in diabetics.AGEs also cause covalent modifications and cross-linking of serum and extracellular matrix proteins;altering their structure,stability,and functions.Early diagnosis of diabetes may prevent its progression to complications and decrease its associated comorbidities.In the present review,we recapitulate the role of AGEs as a crucial mediator of hyperglycemia-mediated detrimental effects in diabetes-associated complications.Furthermore,this review presents an overview of future perspectives for new therapeutic interventions to ameliorate cardiovascular complications in diabetes.

Precision Analysis of Three Dimension Free Curves Nanofabrication

Three dimension free curves find wide applications in engineering. There is no problem to express them exactly mathematically, but th e reportage has not been done on the investigation of precision analysis of thre e-dimension free curves nanofabrication. Nanofabrication Precision includes the geometrical precision and the precision of driving system (below simply cal led the system precision). This paper submits the precision analysis method of c urve normal vector to analyze geometrical precision. Take an aspherical surf ace for example, it can be fitted and constructed by tensor product parameter cu rves, such as linear drawing curves, straight veins curves, rotating curves, swe eping curves, DUCT curves and Geomap curves. Then the curves of the aspherical s urface is iterated and modified to select the best fitted curves of the aspheric al surface. Finally, the geometrical precision of perfect approximate aspherical surface fitting has been sought. This kind of geometrical fitting construction is very important. Another is the system precision, which contains axial position precision, line p recision, and twisting and swinging precision, etc. The paper adopts the theory of precision optimum match (Prof. Wang Er-qi first put forward in 19 83) to allocate precision optimumly. The minimum cost is used as an objective fu nction, and weight method matches the precision. To obtain the optimum match combination of the minimum cost design parameters and every composing element t olerance, the precision is iterated and sought optimumly to design the system op timumly. The theoretical analysis shows that it’s feasible to control three dim ension free curves nanofabrication within nanometer scale precision.

Atomically precise metal nanoclusters for(photo)electroreduction of CO_(2): Recent advances, challenges and opportunities

To alleviate the global warming by removing excess CO_(2) and converting them into value-added chemicals,(photo)electrochemical reduction has been recognized as a promising strategy.As the CO_(2) reduction reaction(CO_(2) RR) is involved with multiple electrons and multiple products,plus the complexity of the surface chemical environment of the catalyst,it is extremely challenging to establish the structure/function relationship.Atomically precise metal nanoclusters(NCs),with crystallographically resolved structure,molecule-like characters and strong quantum confinement effects,have been emerging as a new type of catalyst for CO_(2) RR,and more importantly,they can provide an ideal platform to unravel the comprehensive mechanistic insights and establish the structure/function relationship eventually.In this review,the recent advances regarding employing molecular metal NCs with well-defined structure including Au NCs,Au-based alloy NCs,Ag NCs,Cu NCs for CO_(2) RR and relevant mechanistic studies are discussed,and the opportunities and challenges are proposed at the end for paving the development of CO_(2) RR by using atomically precise metal NCs.

“To measure is to know”: how advances in image analysis are supporting neural repair strategies

Neuronal regeneration in the peripheral nervous system arises via a synergistic interplay of neurotrophic factors,integrins,cytoskeletal proteins,mechanical cues,cytokines,stem cells,glial cells and astrocytes.

Analyzing the role of extracellular matrix during nervous system development to advance new regenerative strategies

Regeneration in the central nervous system （CNS） is limited, and CNS damage often leads to cognitive impairment or permanent functional motor and sensory loss. Impaired regenerative capacity is multifactorial and includes inflammation, loss of the blood-brain barrier, and alteration in the extracellular matrix （ECM）. One of the main problems is the formation of a glial scar and the production of inhibitory ECM, such as proteoglycans, that generates a physical and mechanical barrier, impeding axonal regrowth （Figure 1A）.

The Effect of “Metacognitive Strategy” on the Use of “Advance Organizer”

"Advance organizer"is a practical teaching strategy proposed by American modern educational psychologist Ausubel in 1960.This research considers learners'use of metacognitive strategy in the teaching activities of"advance organizer",trying to explore the effects of metacognitive strategy in the"advance organizer"teaching practices and testing whether"advance organizer"can effectively help students understand and retain reading materials.Further researches should be focused on how to conduct learners'"metacognitive strategy"training and employ learners'metacognitive strategies into"advance organizer"teaching activities.

Analysis on the Strategy of Precise Poverty Alleviation under the Background of Rural Revitalization Strategy

The report of the 19 th National Congress of the Communist Party of China put forward the implementation of the strategy of rural revitalization,clearly pointed out that it is necessary to persist in the development of rural agriculture,and put forward the general requirements.

Maximizing Oil Palm Yield: Innovative Replanting Strategies for Sustainable Productivity

This paper examines the significance of innovative replanting strategies in maximizing oil palm yield while ensuring sustainable productivity.Through a comprehensive review of literature and analysis of current practices,the major findings of this research highlighted the importance of advanced breeding and clonal selection in developing high-yielding and disease-resistant oil palm varieties.Precision agriculture technologies,including IoT devices,drones,and sensors,were identified as critical tools for data-driven decision making,optimizing resource efficiency,and reducing environmental impact.Sustainable land use planning and agroforestry integration emerged as key strategies to balance productivity with environmental conservation.The broader impacts of this work extend to other agricultural sectors and land use planning,offering valuable insights for policymakers and stakeholders to promote responsible and resilient agricultural practices.By embracing innovative replanting strategies,the oil palm industry can contribute to a more sustainable and prosperous future,balancing economic growth with environmental stewardship.Continued research and collaboration are essential to achieve these goals and foster a harmonious coexistence between productivity and sustainability,integrating precision agriculture technologies for resource optimization and reduced environmental impact,promoting sustainable land use planning and agroforestry integration to enhance biodiversity and ecosystem services.Strengthening collaborations between governments,industry players,and research institutions for innovation and knowledge exchange is essential.

A Study on Translation Strategies Used in Metaphor Boxes in Macmillan English-Chinese Dictionary for Advanced Learners

Macmillan English Dictionary for Advanced Learners(MEDAL) applied conceptual metaphor theory to practical lexicogra-phy systematically for the first time, namely, setting Metaphor Box. In the wake of MEDAL, Macmillan English-Chinese Dictionary for Advanced Learners was published based on the English blueprint. Due to different experience and thinking ways between Chi-nese and English, it is not easy for users to understand and translate the metaphors boxes without the help of proper translationstrategies. As an authoritative bilingual version for learners, it provided a template of understanding and translating metaphors.Thus, studying its strategies used in translating the metaphors boxes will be helpful for learners to understand and translate meta-phors in language learning. On the basis of strategies suggested by other researchers and case analysis, three main strategies usedin translating the Metaphor Boxes in the dictionary will be proposed.

无模型控制技术在丁二烯装置应用研究

对丁二烯控制技术的难点进行了剖析,重点阐述了无模型控制技术的基本原理、特性、功能、控制方法以及实现过程等,无模型控制技术通过对复杂控制系统进行闭环稳定安全控制,大大提高了生产设备的自动控制效率,改善了丁二烯产品品质,降低了生产技术人员的劳动强度,降低了因人为因素而产生的不安定影响,从而增加了生产设备运行的平稳性。无模型控制系国内丁二烯装置首次应用精准优化控制,可以实现脱重塔单元整体的闭环稳定控制,在无模型控制基础上实现黑屏操作的自控投用率为100%实现精准控制,增加丁二烯的产量,提高了产品质量;投用无模型控制后正常工况下控制回路波动范围上下限可减少30%左右,实现控制回路参数更加稳定,装置运行更加平稳,提高装置的安全性和装置的寿命,延长装置的运行周期。

新发展格局下中国自贸试验区建设的现实约束、演进逻辑与政策取向

在构建新发展格局背景下,我国自贸试验区建设面临泛安全化倾向挤压开放合作空间、国际经贸规则重构抬高开放标准和要求、深层次体制机制障碍亟待突破等现实约束,需要处理好供需动态平衡、内外开放平衡、区域发展平衡,遵循由“效率优先兼顾安全”转向“效率与安全并重”、由“商品和要素流动型开放”转向“制度型开放”、由“产业演化路径依赖”转向“产业链协同创新”的演进逻辑。实施自贸试验区提升战略,要着力提升自贸试验区的平台能级,强化质量与安全导向,聚焦打造多点多极的双循环节点枢纽、提升国际经贸规则制定话语权、扩大产业高质量发展的示范带动效应“三向发力”。实施自贸试验区提升战略的政策取向为:坚持高水平对内对外开放,有效应对“脱钩断链”;对接高标准国际经贸规则,推进高水平制度型开放;破解深层次体制机制障碍,塑造高质量发展新优势。

基于预见性策略的精准护理用于口腔颌面肿瘤皮瓣修复术后的临床观察

目的 探讨基于预见性策略的精准护理用于口腔颌面肿瘤皮瓣修复术后的临床效果。方法 本研究选取2021年6月至2023年6月于新乡市中心医院收治的口腔颌面肿瘤皮瓣修复术后患者81例,所有患者均接受基于预见性策略的精准护理,对患者护理前后康复情况进行比较分析。结果 患者术后3 d的疼痛、皮瓣颜色、温度及毛细血管充盈度评分较术后6 h显著降低,差异有统计学意义(P<0.05)。本组患者中发生轻微感染2例,皮肤感觉异常1例,血管危象1例患者,并发症发生率为4.94%(4/81)。护理后患者生活质量评分较护理前高,差异有统计学意义(P<0.05),护理满意度为96.30%。结论口腔颌面肿瘤皮瓣修复术后应用基于预见性策略的精准护理可改善皮瓣状态,减少并发症,患者生活质量及护理满意度高。

一流本科课程《高级英语》课程思政教学探究

《高级英语》课程是英语专业高年级学生的一门主干课,在课程思政教育教学理念指导下,对省级一流本科课程《高级英语》课程思政教学理据进行思考,对思政元素提取进行案例分析,对创新教学策略进行梳理与探究。通过对《高级英语》课程思政的多维分析,以期凸显省一流本科课程中的课程思政这一关键要素,实现该课程在知识传授、价值引领与能力培养方面的协调统一,促进英语专业学生的全面发展。

数字化环境下高职学生数字素养评价策略创新研究

在信息技术飞速发展的背景下,我国正快速迈向数字化时代。如何培养学生的数字素养已成为教育工作者,尤其是高职教育工作者面临的主要挑战之一。基于此情况,本文将从数字化环境出发,对高职学生数字素养评价策略进行探索,并给出具体的创新策略,希望能够为广大教育工作者提供有价值的参考意见。