Electric-controlled pressure relief valve for enhanced safety in liquid-cooled lithium-ion battery packs

The liquid-cooled battery energy sto rage system(LCBESS) has gained significant attention due to its superior thermal management capacity.However,liquid-cooled battery pack(LCBP) usually has a high sealing level above IP65,which can trap flammable and explosive gases from battery thermal runaway and cause explosions.This poses serious safety risks and challenges for LCBESS.In this study,we tested overcharged battery inside a commercial LCBP and found that the conventionally mechanical pressure relief valve(PRV) on the LCBP had a delayed response and low-pressure relief efficiency.A realistic 20-foot model of an energy storage cabin was constructed using the Flacs finite element simulation software.Comparative studies were conducted to evaluate the pressure relief efficiency and the influence on neighboring battery packs in case of internal explosions,considering different sizes and installation positions of the PRV.Here,a newly developed electric-controlled PRV integrated with battery fault detection is introduced,capable of starting within 50 ms of the battery safety valve opening.Furthermore,the PRV was integrated with the battery management system and changed the battery charging and discharging strategy after the PRV was opened.Experimental tests confirmed the efficacy of this method in preventing explosions.This paper addresses the safety concerns associated with LCBPs and proposes an effective solution for explosion relief.

基于Relief-F算法的心血管介入患者术后死亡风险预测

针对心血管介入患者全周期病理数据普遍存在缺失、不连续、非结构化等问题,建立了心血管介入专病数据库,并采用基于Relief-F算法的预测方法,对心血管介入患者术后死亡风险进行预测。首先参照HL7、CDISC等国际心血管疾病统一标准对各数据源进行标准化处理,建立研究数据集,并对数据进行清洗和预处理;其次采用Relief-F算法对特征进行选择,最终保留30个特征变量;再次选择逻辑回归、支持向量机、随机森林等3种机器学习方法进行建模分析,并采用10折交叉验证方法对分类器进行训练;最后引入准确率等模型评价指标来评估各算法在数据集上的分类预测效果。实验结果表明:随机森林的分类效果在该研究数据集上的表现最佳,准确率达到81.97%,精确率为86.90%,召回率为82.14%,F1值为0.8441。该研究提出的方法能够客观反映患者术后死亡风险,为心血管介入患者术后死亡风险预测提供了一种有效的解决方案。

Palliative care with adequate pain relief challenges the need for euthanasia legislation

Background:In today’s society the ongoing discussion about euthanasia triggers emotionally charged debates surrounding the delicate balance between valuing life and respecting an individual’s autonomy.With the persistence of this debate,there has been the emergence of the concept of the so-called alternative:palliative care.Positioned as a substitute for euthanasia,palliative care aims to alleviate suffering in terminally ill patients without engaging in the ethical dilemmas associated with euthanasia.Methods:This paper explores the facets of palliative care highlighting its core objectives such as providing adequate pain relief as a compassionate alternative to euthanasia.Results:By examining palliative care as a comprehensive approach to end of life support,this study challenges the perceived necessity of euthanasia and advocates,for compassionate and dignified end of life experiences.Conclusion:In conclusion,palliative care emerges as a viable and ethically sound alternative to euthanasia,emphasizing the importance of compassionate end-of-life care and pain management.

Application of STEEP and Interpretive Structural Modeling in the Design Imagery of Taiwan Public Ceramic Relief Murals

Ceramic relief mural is a contemporary landscape art that is carefully designed based on human nature,culture,and architectural wall space,combined with social customs,visual sensibility,and art.It may also become the main axis of ceramic art in the future.Taiwan public ceramic relief murals(PCRM)are most distinctive with the PCRM pioneered by Pan-Hsiung Chu of Meinong Kiln in 1987.In addition to breaking through the limitations of traditional public ceramic murals,Chu leveraged local culture and sensibility.The theme of art gives PCRM its unique style and innovative value throughout the Taiwan region.This study mainly analyzes and understands the design image of public ceramic murals,taking Taiwan PCRM’s design and creation as the scope,and applies STEEP analysis,that is,the social,technological,economic,ecological,and political-legal environments are analyzed as core factors;eight main important factors in the artistic design image of ceramic murals are evaluated.Then,interpretive structural modeling(ISM)is used to establish five levels,analyze the four main problems in the main core factor area and the four main target results in the affected factor area;and analyze the problem points and target points as well as their causal relationships.It is expected to sort out the relationship between these factors,obtain the hierarchical relationship of each factor,and provide a reference basis and research methods.

Investigating the Physiological Mechanisms between Resistance Training and Pain Relief in the Cancer Population: A Literature Review

This literature review examines the mechanisms of how exercise, specifically in the form of resistance training, may lead to pain relief in the cancer population. Primary data from three different cancer populations: breast, prostate, and lung, will be examined. A number of experimental studies have been conducted to confirm the effectiveness of resistance training on pain relief as well as the biochemical pathways that relate to this process. In this review, we will examine 5 randomized controlled trials. For the purposes of this review, pain is defined as physical suffering or discomfort associated with illness. Pain is the body’s natural signal, bringing attention to damage that has been sustained by tissues. However, chronic pain is common in the cancer population, and often serves no good purpose but instead will negatively impact both physical and mental health. The three types of pain: nociceptive, neuropathic, and inflammatory pathways have been investigated, and the knowledge of pain mechanisms allows for the understanding of how it is associated with pain. The purpose of this exploratory literature review is to give insight on how to maximize pain-relieving effects of resistance training. Research has indicated that resistance training modulates pain pathways by upregulating the release of pain-relieving substances including beta-endorphins, anti-inflammatory cytokines, and endocannabinoids. Understanding of the benefits of resistance training may be useful in relieving cancer pain, and reproducing effects of pain-relieving strategies while minimizing the symptoms related to cancer and its treatment.

基于Relief算法的智能车辆牌照模糊识别方法

由于当前已有方法未能对车牌照进行降维处理,导致车牌照识别结果不准确,为此,提出一种基于Relief算法的智能车辆牌照模糊识别方法。采用Relief算法计算不同车牌图像特征的权重系数,对特征集进行降维处理。通过序列视频图像对智能车牌进行增强处理,利用全卷积网络对车牌照显著区域进行检测,粗略提取图像中的显著区域,使用滑动窗方法对候选区域车牌进行精准检测,定位车牌准确位置,加入字符的上下文信息,对字符进行精确检测和识别,最终实现智能车辆牌照模糊识别。仿真实验结果表明,所提方法可获取高精度的车牌照识别结果。

半监督Relief-F特征选择算法

数据规模的不断增加,使得为数据库中全部样本做标记变得尤为困难,数据集也因此呈现出了明显的弱标记性.为此,针对大规模少数标记数据集的特征选择问题,基于经典的Relief-F算法,通过综合考虑有标记样本与无标记样本对数据样本近邻的影响,重新定义样本近邻的搜索策略,提出了一种面向符号数据的半监督特征选择算法.为进一步分析新算法的有效性,仿真实验中选取了5组UCI数据集,并引入机器学习中3个常用分类器对新算法和对比算法的特征选择结果的分类性能作了分析和比较,实验结果很好地验证了本文中提出的新算法的有效性和可行性.

Effect of Dynamic Pressure Feedback Orifice on Stability of Cartridge-Type Hydraulic Pilot-Operated Relief Valve

Current research on pilot-operated relief valve stability is primarily conducted from the perspective of system dynamics or stability criteria,and most of the existing conclusions focus on the spool shape,damping hole size,and pulsation frequency of the pump.However,the essential factors pertaining to the unstable vibration of relief valves remain ambiguous.In this study,the dynamic behavior of a pilot-operated relief valve is investigated using the frequency-domain method.The result suggests that the dynamic pressure feedback orifice is vital to the dynamic characteristics of the valve.A large orifice has a low flow resistance.In this case,the fluid in the main spring chamber flows freely,which is not conducive to the stability of the relief valve.However,a small orifice may create significant flow resistance,thus restricting fluid flow.In this case,the oil inside the main valve spring chamber is equivalent to a high-stiffness liquid spring.The main mass-spring vibration system has a natural frequency that differs significantly from the operating frequency of the relief valve,which is conducive to the stability of the relief valve.Good agreement is obtained between the theoretical analysis and experiments.The results indicate that designing a dynamic pressure feedback orifice of an appropriate size is beneficial to improving the stability of hydraulic pilot-operated relief valves.In addition,the dynamic pressure feedback orifice reduces the response speed of the relief valve.This study comprehensively considers the stability,rapidity,and immunity of relief valves and expands current investigations into the dynamic characteristics of relief valves from the perspective of classical control theory,thus revealing the importance of different parameters.

基于Relief-PGS优化算法的数据分类

【目的】在选取图像特征对图像进行分类时,选取的特征属性是否冗余会影响到图像分类的正确率。为提高分类的准确率,使用Relief-PGS优化算法对特征子集和支持向量机参数同步进行优化。【方法】首先使用Relief算法对特征数据集进行筛选,其次将筛选出的特征子集数目和支持向量机参数一起编码到粒子群-遗传算法中进行同步优化,最后对处理后的数据集进行分类,能有效提高分类的准确率。【结果】选取UCI数据库中的5种数据集进行分类,与传统的SVM算法、PGS算法和Relief-SVM算法相比,Relief-PGS优化算法对图像分类的准确率分别提高了22.53%、6.05%和11.16%。【结论】研究结果表明,Relief-PGS算法在去掉不重要特征的同时,对支持向量机参数进行优化,能有效提高分类的准确率。

New Challenges For International Disaster Relief

The Türkiye-Syria earthquake is pushing global search and rescue capacity to the limit On February 6,a powerful earthquake and a series of strong aftershocks struck southern Türkiye near the Syrian border.International assistance has since poured into the disaster-hit areas.According to Turkish Foreign Minister Mevlut Cavusoglu,as of February 18,102 countries had offered humanitarian aid and rescue teams from 88 countries participated in search and rescue operations in Türkiye.

Multi-Symptom Relief for Cough & Cold: Benefits of Adding Vicks VapoRub to the Treatment Regimen

Background: The common cold is inarguably a multi-symptom syndrome. Thus, patients commonly use several medicinal products simultaneously to treat a range of co-existing clinical manifestations. Topical ointments with medicated vapours are a popular and effective treatment for the relief of various respiratory tract symptoms. Vicks VapoRub (VVR), a paraffin-based therapeutic ointment containing levomenthol, eucalyptus oil, turpentine oil and camphor, is frequently combined with other cough and cold treatments. However, little is known about which medications are commonly taken together and how patients experience the combined efficacy. Methods: A 20-question online survey to assess habits and beliefs amongst cold sufferers was conducted using the Toluna Start platform. A total of 1513 adults that had suffered from a cold or mild COVID-19 infection in the preceding 12 months were recruited from five European countries. Results: Most cold sufferers combined VVR with other cold medicines, such as paracetamol (75.9%), multi-symptom relief (MSR) products (64.0%) or nasal decongestants (57.0%) to treat their symptoms. VVR was mainly used topically, at night, and on days 3 - 4 of the disease. The addition of VVR to the treatment regimen was perceived as highly effective at relieving multiple cold symptoms. Furthermore, improved sleep and a free breathing sensation were attributed to VVR when used in combination with other cold remedies. Statements on VVR regarding effectiveness, sleep, sleep + effectiveness, speed of action and user satisfaction were agreed upon by a total of 74.8% to 88.3% of panellists. Conclusion: Our survey confirms that in Europe, VVR is commonly used as part of a regimen to manage cold symptoms, and contributes to better overall perceived relief as part of a multi-facetted treatment approach. Prospective clinical data are needed to further confirm these results.

Rapturous Relief

China has cancelled Rwanda’s $7.1-million loan used for building a road Residents in the Masaka and Kabuga suburbs of Rwanda’s capital Kigali were happy to learn that the Chinese government has decided to cancel the debt used for the construction of a road in their locality.

电力系统暂态电压稳定评估的混合智能特征双重筛选方法

含高比例新能源与直流接入的电力系统暂态电压稳定特征呈高维冗余性,影响基于数据驱动评估模型的效率和性能。为此,在构建一组适应含高比例新能源和直流接入场景的完备特征集合基础上,提出一种基于改进Relief算法和改进群智能优化算法双重筛选的混合智能特征选择方法,以降低原始特征维度,提高模型稳定评估的效率和准确率。首先,通过时序分层处理对原始Relief算法进行时序改进,并利用该改进算法进行特征的有效性度量,以消除分类低效特征,得到降维后的初筛特征子集;随后,融合特征有效性度量值对群智能优化算法进行搜索性能增强。再以此增强算法为寻优策略,并以时序分类模型卷积门控循环单元(convolution gated recurrent unit,ConvGRU)为分类器,构成基于群智能优化算法的封装式特征选择方案,进一步实现特征子集寻优。最后,通过算例对比分析,该方法下高维特征维度能压缩80%以上,且所选特征子集能有效提高评估模型的准确率,验证该方法对于高维时序特征筛选处理的有效性及必要性。

基于环境因子优化TSES法选择负样本及其在滑坡易发性评价中的应用

滑坡易发性评价是滑坡灾害防治的重要手段之一,而不合理的滑坡负样本会影响滑坡易发性评价,从而影响到滑坡灾害的防治,因此提供一种合理的负样本选取方法变得尤为关键。以西藏米林市的古滑坡为例,选择高程、坡度、坡向、坡位、距道路距离、距断层距离、距水系距离、地形起伏度、地层岩性、土地利用类型10类环境因子,使用Relief算法计算环境因子的贡献值并依据贡献值优化选择环境因子;基于环境因子优化的目标空间外向化采样法(target space exteriorization sampling,简称TSES)选择负样本,作为性能优异的随机森林模型的输入变量;之后结合优化的环境因子和正或负样本预测米林市的滑坡易发性,并用混淆矩阵和ROC曲线评价构建模型的性能。为检验环境因子优化的TSES法的有效性和先进性,采用耦合信息量法和TSES法选择滑坡负样本并构建随机森林模型,与环境因子优化的TSES法构建的随机森林模型进行对比研究。结果表明,环境因子优化的TSES法构建的随机森林模型的评价效果较好,其ACC为93.7%、AUC为0.987,均高于耦合信息量、TSES法构成的模型。环境因子优化的TSES法能够提高模型的精度,解决多因子作为约束条件取样中因子选取的问题,为滑坡易发性评价采集负样本提供了新的思路。

中青年缓解期精神分裂症患者社会疏离体验的质性研究

背景精神分裂症患者在整个生存期常感知到的较为严重的社会歧视,出现自我疏离或者社会性疏离。目前针对中青年缓解期精神分裂症患者社会疏离方面的研究较少。目的描述中青年缓解期精神分裂症患者社会疏离的体验,旨在为缓解该人群社会疏离体验制订支持干预方案提供一定的借鉴和参考。方法采用目的抽样法选取18~59岁,曾在新乡医学院第二附属医院住院且出院后愿意继续接受随访的中青年缓解期精神分裂症患者为研究对象,于2022年5—12月通过对受访者进行面对面半结构式深入访谈,并以内容分析法归纳和提炼主题。结果共纳入18名中青年缓解期精神分裂症患者。通过对访谈资料进行分析,共提炼出3个主题和8个亚主题:中青年缓解期精神分裂症患者社会疏离的表现(包括2个亚主题:负性情感体验、期待与行为之间的退缩);中青年缓解期精神分裂症患者社会疏离的主观原因(包括2个亚主题:自我疏离、自我歧视)、中青年缓解期精神分裂症患者社会疏离的客观原因(包括4个亚主题:社会歧视和被动疏离、药物不良反应的影响、精神疾病引起的生活和照护负担加重、缺乏社会支持)。结论中青年缓解期精神分裂症患者由于生理健康受损、心理状况不良、社会支持不足等存在社会疏离,医护人员应加强对该人群的症状管理和心理疏导,政府及社会各界应积极引导对精神疾病的正向认知并给予一定的社会支持;同时强化家庭内部支持,以帮助其重返和适应社会。

基于Relief-WGS优化算法的图像分类方法

针对图像特征选择问题,特征属性过多不但会造成维数灾难,而且会影响分类的正确率。在采用支持向量机分类时,特征维数较高,会造成分类准确率较低,运算速度较慢等问题。为了解决此问题,提出Relief算法、鲸鱼算法、遗传算法和支持向量机相结合的ReliefWGS优化算法,实现图像特征选择和分类。

法律调整视角下产教融合制度的执法与救济

产教融合作为一种具体的社会关系,是促进产业部门与教育部门深度对接和合作过程中,以提高技术技能人才质量为目的,形成的政府、行业、企业、学校之间的权利义务关系,客观上能为法律所调整。产教融合作为一种教育法律关系,教育行为(育人行为)作为产教融合关系的客体符合教育法律关系客体的特殊性本质特征,产教融合关系的复杂性符合教育法律关系的综合性特征,产教融合关系内容的权利义务集中体现产教融合教育关系的法律化,产教融合是反映职业教育规律的社会关系。为克服教育执法弱化的软肋,产教融合执法需实现主体专门化、程序固定化、结果公开化和监督主体多元化。要解决职业教育法律“软化”问题,其路径在于建立申诉制度以保障企业和学校的申诉权,以及明晰法律救济的具体程序,以保障学校和企业等主体的权益。

新时代高校绿色教育的实践困囿与纾解路径——基于山西省高校的调查

新时代高校开展绿色教育是深入学习贯彻习近平生态文明思想的具体举措,是促进大学生德智体美劳全面发展的重要抓手,也是推进人类命运共同体建设的生动实践。对山西省本科院校师生的一项调查显示,当前高校的绿色教育在理论认知、活动设置、实践成效等方面取得了一定成绩,但在课程体系建设、师资队伍建设、保障机制建设等方面存在明显不足,需要强化系统思维,进一步完善绿色教育体系;增强师资建设,进一步凝聚育人合力;注重育人实效,进一步夯实保障机制。

泄压孔对聚能传爆管的影响

以炸药在点燃瞬间的压力均衡为前提条件,计算聚能传爆管点火后只产生燃烧反应的最小泄压孔面积,以此为基础,对含不同尺寸泄压结构的聚能传爆管在慢速烤燃和快速烤燃环境下的响应特性进行分析,在建立三维轴对称烤燃计算模型的基础上,采用Fluent对不同大小泄压孔的慢速烤燃响应特性进行数值模拟。为研究含泄压孔聚能传爆管对起爆威力性能的影响,对3种不同大小泄压孔的聚能传爆管进行了起爆实验。结果表明,该型聚能传爆管的泄压孔设计单孔直径7 mm为最优,研究结果对水雷不敏感引信的结构设计有一定的指导意义。

晒旗河磷矿掘进巷道工作面钻孔卸压参数优化

岩爆是困扰晒旗河磷矿安全开采的主要技术难题,该矿钻孔卸压参数与围岩应力分布不匹配,卸压效果有待提高。以该矿+80 m工作面为研究对象,采用数值模拟对掘进巷道工作面不同钻孔卸压参数下巷道围岩的应力和弹性能变化情况进行分析,探寻最优的卸压钻孔参数方案。引入谷-陶岩爆判据,计算最大主应力和单轴抗压强度的比值,评价卸压钻孔参数优化前后的岩爆等级,验证钻孔卸压效果。研究结果表明:随着钻孔深度的增加,巷道围岩应力先减小后增大,当钻孔深度为10 m时,围岩应力和弹性能最小;在保持钻孔数量不变的情况下,钻孔间距过小,钻孔周围形成的卸压区域重叠,整体卸压范围受限,钻孔间距过大,每个钻孔间形成的卸压区域无法起到协同卸压作用。卸压钻孔参数优化后最大主应力下降了14 MPa,岩爆风险等级由中等岩爆降为无岩爆。研究结果可为鄂西地区类似矿山卸压钻孔参数的选用提供参考。