Advanced strategies for 3D-printed neural scaffolds:materials,structure,and nerve remodeling

Nerve regeneration holds significant potential in the treatment of various skeletal and neurological disorders to restore lost sensory and motor functions.The potential of nerve regeneration in ameliorating neurological diseases and injuries is critical to human health.Three-dimensional(3D)printing offers versatility and precision in the fabrication of neural scaffolds.Complex neural structures such as neural tubes and scaffolds can be fabricated via 3Dprinting.This reviewcomprehensively analyzes the current state of 3D-printed neural scaffolds and explores strategies to enhance their design.It highlights therapeutic strategies and structural design involving neural materials and stem cells.First,nerve regeneration materials and their fabrication techniques are outlined.The applications of conductive materials in neural scaffolds are reviewed,and their potential to facilitate neural signal transmission and regeneration is highlighted.Second,the progress in 3D-printed neural scaffolds applied to the peripheral and central nerves is comprehensively evaluated,and their potential to restore neural function and promote the recovery of different nervous systems is emphasized.In addition,various applications of 3D-printed neural scaffolds in peripheral and neurological diseases,as well as the design strategies of multifunctional biomimetic scaffolds,are discussed.

Incorporation of Learning Strategies into Web-based Autonomous Listening

The thesis introduces a comparative study of students'autonomous listening practice in a web-based autonomous learning center and the traditional teacher-dominated listening practice in a traditional language lab.The purpose of the study is to find how students'listening strategies differ in these two approaches and thereby to find which one better facilitates students'listening proficiency.

English Listening Strategies by College Students in Web-based Self-access Environment

The findings of the present study affirm the value of strategy training.On the one hand,it shows strategy training is valid and feasible.On the other hand,it will benefit both language teachers and students in that it not only helps students become more successful to learn a foreign language but also provides teachers a meaningful way to focus their efforts.However,strategy training in this thesis is tentative,so the present study is subject to several limitations owing to the author’s lack of the experience.

Research on Application of Metacognitive Strategy in English Listening in the Web-based Self-access Learning Environment

Metacognitive strategies are regarded as advanced strategies in all the learning strategies.This study focuses on the application of metacognitive strategies in English listening in the web-based self-access learning environment(WSLE) and tries to provide some references for those students and teachers in the vocational colleges.

Strategy-based Listening Instruction: Possibilities and Impossibilities

Due to the covert nature of the listening process, English listening comprehension has become a demanding challenge for most EFL learners in China. Strategy-based listening instruction, with its more accurate insight into the listening process, could be one of the timely answers to the challenges facing Chinese EFL listeners. Starting with a comprehensive review of theories and studies on strategy-based listening instruction in recent Western academia, the current paper critically examined the possible advantages and the theoretical and practical limitations of strategy-based listening instruction.

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.

A salt, detergent, and solvent tolerant protease from <i>Bacillus</i>sp. B001: Low-cost, easy-purified, and enhanced production by raw material based culture strategy

To enhance the protease production and decrease cost, corn flour and soy peptone were screened as cheap raw materials for the production of extracellular proteases by Bacillus strains. Their compositions in the medium suitable for enzyme production of Bacillus sp. B001 were optimized using statistical experiment designs. Under the optimized conditions, the protease production of Bacillus sp. B001 was stable at the stationary stage and reached to 63,200 U/mL, approximately 1.84-fold increase compared with that using the original medium. These improvements could be attributed to the release of the catabolite repression by crude materials corn flour and soy peptone which contained low level of available nutrients. Additionally, a highly pure protease which displayed excellent stability and compatibility with high salinity, commercial laundry detergents, and organic solvents, was rapidly obtained by two-step procedure involving ammonium sulphate precipitation and anion exchange from the fermentation cultures of B001 in the optimized medium. When the culture method applied to other Bacillus strains, their protease yields were all remarkably increased approximately 2.9 to 8.5 folds. In conclusion, a low-cost, easy-purified, and effective producing strategy using the cheap raw materials was developed here, representing a potential application for protease production in various Industrial processes.

Analysis of the impact of large scale seismic retrofitting strategies through the application of a vulnerability-based approach on traditional masonry buildings

The buildings＇ capacity to maintain minimum structural safety levels during natural disasters, such as earthquakes, is recognisably one of the aspects that most influence urban resilience. Moreover, the public investment in risk mitigation strategies is fimdamental, not only to promote social and urban and resilience, but also to limit consequent material, human and environmental losses. Despite the growing awareness of this issue, there is still a vast number of traditional masonry buildings spread throughout many European old city centres that lacks of adequate seismic resistance, requiring therefore urgent retrofitting interventions in order to both reduce their seismic vulnerability and to cope with the increased seismic requirements of recent code standards. Thus, this paper aims at contributing to mitigate the social and economic impacts of earthquake damage scenarios through the development of vulnerability-based comparative analysis of some of the most popularretrofitting techniques applied after the 1998 Azores earthquake. The influence of each technique individually and globally studied resorting to a seismic vulnerability index methodology integrated into a GIS tool and damage and loss scenarios are constructed and critically discussed. Finally, the economic balance resulting from the implementation of that techniques are also examined.

Strategic Thinking for Sustainable Development of Mining-Based Cities in China

Cities based on mining are distinctive from other cities in China. Their heavy dependence on minerals, a relatively undiversified industrial structure, seriously damaged ecological environment and the rather low degree of openness have all reduced their competitiveness, and severely constrained and hindered their sustainable development. In this paper the authors will study mining-based cities from the perspective of sustainable development, first by having a critical review of their features, and then by researching into strategic options to support their sustainable development.

The Effectiveness of Strategies-based Instruction on Postgraduates' English Vocabulary Learning

This ten-week quasi-experimental study was undertaken to explore the effectiveness of strategies-based vocabulary instruction on English vocabulary learning of postgraduate learners.By the questionnaires and vocabulary tests administered before and after the instruction,the experimental group and the control group were compared to find out whether reading comprehension plus SBI method was more effective than reading only method in postgraduates' English vocabulary learning.

Climate Change Community-Based and Ecosystem-Based Adaptation Strategies in Selected Coastal Barangays in Masinloc, Zambales, Philippines

Climate change continues to intensify existing disaster risks and vulnerabilities in the Philippines. Thus, implementation of climate change adaptation strategies is vital to counter the effects of climate change. It is in this context that this study was undertaken to analyze the need or urgency to adopt community and ecosystem-based adaptation strategies among selected coastal barangays (villages) of Masinloc, Zambales, Philippines. Various methods of data collection were utilized such as secondary data collection, primary data collection through household survey, key informant interviews, and focus group. Results of the study indicate that in terms of community-based adaptation strategies, all of the seven barangays in Masinloc have moderate necessity. However, only Barangays Bani and Collat have high adaptation capacity in terms of infrastructure and disaster preparedness. The execution of several community-based adaptation strategies helps these barangays to respond immediately and appropriately to the moderate risk posed by floods and storm surges. On the other hand, in terms of ecosystem-based adaptation strategies, all of the seven barangays have moderate necessity which implies that they have moderate vulnerability and risk to flood and storm surge but have high adaptation capacity in terms of the conservation and protection of coastal resources (mangroves and sea grasses). The barangays implemented the necessary ecosystem-based adaptation mechanisms that they might need in the future. This only means that when they are faced with disaster, the local communities are prepared to respond appropriately and to cope up with the effects of extreme weather events which lead to floods and storm surge. Even though most of the ecosystem-based adaptation strategies are conducted by the seven barangays, there are several community-based adaptation strategies that are still lacking which will protect them from the effect of floods and storm surges. Hence, carrying out the missing adaptation strategies, both community-based and ecosystem-based, will help in improving the adaptive capacity of the affected barangays and will help them become more resilient to the amplified effects of climate change.

An Improved Binary Wolf Pack Algorithm Based on Adaptive Step Length and Improved Update Strategy for 0-1 Knapsack Problems

Binary wolf pack algorithm (BWPA) is a kind of intelligence algorithm which can solve combination optimization problems in discrete spaces.Based on BWPA, an improved binary wolf pack algorithm (AIBWPA) can be proposed by adopting adaptive step length and improved update strategy of wolf pack. AIBWPA is applied to 10 classic 0-1 knapsack problems and compared with BWPA, DPSO, which proves that AIBWPA has higher optimization accuracy and better computational robustness. AIBWPA makes the parameters simple, protects the population diversity and enhances the global convergence.

Language Learning Strategies in a Network-based Environment

With the swift development of network technology, research on how to integrate network technology into language learning has become a trend. This paper examines whether the application of language learning strategy(LLS) in the networkbased environment has incomparable superiority. Beginning with the literature review, it presents an analysis on similarities and differences between network-based language learning strategy(NBLLS) and non-NBLLS, and then expounds the characteristics,the influencing factors and teachers' role of NBLLS. Taking 25 participants in the group of non-NBLL and 34 in the NBLL group as the comparative survey study, the empirical result shows the new evidence that there is a little difference between the two groups in the use of LLS. The findings of this study have implications for the application of NBLLS.

Planning Strategies of Scenic-based Beautiful Countryside: A Case Study of Panxi Village, Wanli District, Nanchang

Scenic-based countryside planning model,one of the beautiful countryside construction models,has been just initiated without a sound rural planning theory system,thus it is not an effective instruction for the development of rural areas nearby the scenic areas.In view of this problem,this paper took Panxi Village in Wanli District of Nanchang City for example,analyzed its current situation comprehensively,figured out principal contradictions,set clear objectives,and proposed the corresponding planning strategies from 4 perspectives of rural functional orientation,industrial upgrading,exploration of characteristics,and village texture,to provide methods and ideas for the planning and development of such villages.

An Interactive Strategies-based Approach To Reading Teaching

An interactive strategies-based approach to reading teaching involves both bottom-up and top-down skills,which if developed conjointly,will not only improve students'reading comprehension and reading rate but also facilitate their ability of writing.

循证理念指导下护士-家长协同干预策略在唇腭裂术后护理中的应用

目的:观察循证理念指导下护士-家长协同干预策略在唇腭裂术后护理中的应用效果。方法:选取2021年6月-2022年12月笔者科室收治的90例拟行唇腭裂术患儿,采用随机数字表法分为观察组(n=45)和对照组(n=45)。对照组给予常规术后护理,观察组在对照组基础上引进循证理念指导的护士-家长协同干预策略,两组均持续干预3个月。观察两组患儿术后恢复情况、疼痛程度、应对方式、康复依从性及并发症发生情况。邀请家属对护理模式进行满意度评价。结果:干预后,观察组住院时间、伤口愈合时间均短于对照组,术后72 h、7 d的疼痛评分低于对照组(P<0.05);观察组消极应对因子评分低于对照组,积极应对因子评分高于对照组(P<0.05);观察组Frankl治疗依从性量表评分高于对照组(P<0.05);观察组术后总并发症发生率与对照组比较差异无统计学意义(P<0.05)。结论:循证理念指导下护士-家长协同干预策略的引进可有效提高唇腭裂患儿术后护理效果,改善患儿应对方式和康复依从性,促进患儿术后恢复,提升护理满意度。

基于EBWO-SVM的变压器故障诊断研究

针对SVM在变压器故障诊断中存在诊断精度不高和BWO算法存在易陷入局部最优的问题,提出一种基于EBWO-SVM的变压器故障诊断方法。首先通过引入准反向学习策略和旋风式觅食策略对BWO算法进行改进,然后将EBWO算法与粒子群优化算法、灰狼优化算法、鲸鱼优化算法、白鲸优化算法在6种测试函数上进行寻优测试,验证了EBWO算法的优越性。其次利用EBWO算法对SVM中的核函数参数g和C进行优化,从而提高SVM的分类能力。最后提出其他方法与EBWO-SVM模型进行对比。结果表示:所构建的EBWO-SVM变压器故障诊断模型与BWO-SVM、WOA-SVM、GWO-SVM、PSO-SVM相比,综合诊断精度分别提高了7.7%、9.7%、11.6%、15.4%,且稳定性更强,验证了EBWO-SVM模型的可行性与有效性。

连续双向拍卖中演化Risk-Based策略研究

Risk-Based策略是基于风险行为的代理策略。为了改善Risk-Based代理的行为,使交易价格迅速收敛于市场均衡价格,提高市场效率,提出利用粒子群优化算法演化Risk-Based策略参数。首先分析了影响Risk-Based代理行为的关键参数;之后提出了改进的粒子群优化算法演化Risk-Based策略关键参数的模型。最后,在基于市场控制的模拟系统中采用连续双向拍卖机制对演化Risk-Based策略进行了实验评价,结果表明演化后的Risk-Based策略比演化前的策略更为优秀。

A distributed routing algorithm based-on simplified topology in LEO satellite networks

In this paper, a distributed muting strategy based on simplified topology （DRBST） was proposed for LEO satellite networks. The topology of LEO satellite networks was simplified aiming at minimizing intersatellite links handover number. To optimize the route based on the simplified topology, we considered not only the transmission delay but also the queuing delay and the processing delay, which were analyzed using Markov chain and determined using a novel methodology. The DRBST algorithm was simulated in a LEO satellite networks model built using OPNET. The simulation results demonstrate that the low complexity DRBST algorithm can guarantee end-to-end delay bound. Moreover, the muting protocol cost is much less than traditional algorithms.