The Impact of Transformational Leadership on Commitment to Change Among Jordanian Government Accountant Toward IPSAS Implementation

IPSAS was accepted by Jordan’s government in accordance with worldwide trends.The Jordanian Ministry of Finance launched cash-basis IPSAS in 2015 and planned to implement accrual accounting by January 1,2021.However,the commitment to change remains uneven,hindering the full shift.Moving from old accounting processes to new ones is tough.Even then,it hasn’t been implemented,creating a gap due to the difficulty in committing to new accounting standards throughout implementation due to obstacles.Thus,knowing government accountants’issues is essential to applying IPSAS in government accounting.This study examines how transformational leadership affects government accountants’commitment to IPSAS adoption in Jordan’s public sector.This study used a quantitative approach to survey Jordanian Ministry of Finance accountants.The 384-person study had a 78%response rate.Additionally,PLS-SEM was used to confirm variable relationships.Transformational leadership positively predicted IPSAS implementation,according to the study.

基于稀疏注意力卷积ViT模型的锌浮选工况识别

准确识别锌浮选工况并用于指导锌浮选操作,可以提高浮选效率、优化选矿过程.目前浮选现场主要通过人工肉眼观察泡沫并依据经验判断工况,这种方法主观性强,难以客观准确地评价锌浮选工况.针对该问题,本文通过研究锌浮选泡沫视觉特征和浮选工况的密切联系,提出基于稀疏注意力卷积ViT模型的锌浮选工况识别方法.首先,所提模型融合了卷积神经网络(Convolutional neural networks,CNN)和视觉Transformer(Vision transformer,ViT)的结构和优点,同时感知泡沫局部空间信息和全局信息,完备表征泡沫图像.其次,模型引入稀疏的多头注意力机制,每个注意力头以不同的稀疏程度处理特征,从不同尺度下感知全局信息,同时引入注意力门控单元优化特征传递,最终实现锌浮选工况识别.实验结果表明,本文所提工况识别方法在锌浮选泡沫图像数据集上的准确率达到88.62%,解决了传统CNN和ViT模型不能充分利用泡沫图像全局信息,且无法自适应捕捉泡沫图像重要特征的问题,为浮选流程优化提供有力支持.

ViTAU:基于Vision transformer和面部动作单元的面瘫识别与分析

面部神经麻痹(Facial nerve paralysis,FNP),通常称为贝尔氏麻痹或面瘫,对患者的日常生活和心理健康产生显著影响,面瘫的及时识别和诊断对于患者的早期治疗和康复至关重要.随着深度学习和计算机视觉技术的快速发展,面瘫的自动识别变得可行,为诊断提供了一种更准确和客观的方式.目前的研究主要集中关注面部的整体变化,而忽略了面部细节的重要性.面部不同部位对识别结果的影响力并不相同,这些研究尚未对面部各个区域进行细致区分和分析.本项研究引入结合Vision transformer(ViT)模型和动作单元(Action unit,AU)区域检测网络的创新性方法用于面瘫的自动识别及区域分析.ViT模型通过自注意力机制精准识别是否面瘫,同时,基于AU的策略从StyleGAN2模型提取的特征图中,利用金字塔卷积神经网络分析受影响区域.这一综合方法在YouTube Facial Palsy(YFP)和经过扩展的Cohn Kanade(CK+)数据集上的实验中分别达到99.4%的面瘫识别准确率和81.36%的面瘫区域识别准确率.通过与最新方法的对比,实验结果展示了所提的自动面瘫识别方法的有效性.

基于贝叶斯图注意力Transformer的航空发动机剩余使用寿命概率预测

航空发动机作为飞机的心脏,其健康状态对飞机的安全飞行至关重要.深度学习强大的数据挖掘能力,为通过海量历史数据预测航空发动机的剩余使用寿命提供了新方法.然而,传统基于深度学习的方法大都关注于挖掘数据在时间上的关联,而忽略了多个传感器监测数据之间复杂的非欧氏空间关系.此外,少有研究考虑数据或者预测过程本身具有的不确定性,缺乏对预测结果可靠性的评估.为解决上述问题,本文提出了一种基于贝叶斯网络和图注意力Transformer的航空发动机剩余使用寿命概率预测方法.将图注意力机制融入Transformer的时间多头注意力模块,结合图注意力网络在空间特征提取上的优势和Transformer模型在时间特征提取的优势,实现数据特征时空关系的联合提取.同时,利用改进的贝叶斯网络度量预测不确定性,在得到剩余使用寿命预测点值的同时给出相应的置信区间.最后,通过在公开航空发动机数据集上的实验,证明了所提模型的有效性和先进性.

The potential mechanism and clinical application value of remote ischemic conditioning in stroke

Some studies have confirmed the neuroprotective effect of remote ischemic conditioning against stroke. Although numerous animal researches have shown that the neuroprotective effect of remote ischemic conditioning may be related to neuroinflammation, cellular immunity, apoptosis, and autophagy, the exact underlying molecular mechanisms are unclear. This review summarizes the current status of different types of remote ischemic conditioning methods in animal and clinical studies and analyzes their commonalities and differences in neuroprotective mechanisms and signaling pathways. Remote ischemic conditioning has emerged as a potential therapeutic approach for improving stroke-induced brain injury owing to its simplicity, non-invasiveness, safety, and patient tolerability. Different forms of remote ischemic conditioning exhibit distinct intervention patterns, timing, and application range. Mechanistically, remote ischemic conditioning can exert neuroprotective effects by activating the Notch1/phosphatidylinositol 3-kinase/Akt signaling pathway, improving cerebral perfusion, suppressing neuroinflammation, inhibiting cell apoptosis, activating autophagy, and promoting neural regeneration. While remote ischemic conditioning has shown potential in improving stroke outcomes, its full clinical translation has not yet been achieved.

基于智能优化深度网络的档案数据分析方法

为提高档案管理的效率和准确性,提出了一种基于智能优化深度网络的档案数据分析方法。该方法结合了Transformer网络的特征提取能力和灰狼优化算法(Grey Wolf Optimizer,GWO)的参数优化能力,显著提高了档案管理的效率和准确性。将提出的方法运用到档案数据的多分类任务中,实验结果表明,通过GWO算法优化后的Transformer-GWO模型在与xgboost分类模型结合时取得了最佳性能,其宏观精确度、宏观召回率和宏观F1分数分别达到0.893、0.878以及0.885,提出的方法有效提升了档案管理的智能化水平。

教育数字化转型进程中城乡教师协作教学的影响因素研究

明确哪些因素在教育数字化转型中支持了城乡教师之间的协作教学,研究活动采用田野工作观察、访谈与问卷调查相结合的方法,基于“四平衡”监控和学习型组织理论构建“三层级七要素模型”,并运用结构方程模型分析了问卷数据.研究发现:教师数字胜任力是核心影响要素,学校组织支持通过教师数字胜任力的中介作用间接影响协作教学;数字教学资源对协作教学有显著影响.针对这些发现,建议进一步落实组织支持,强化数字化领导场景,有效推进数字能力建设,确保数字化技术的优势能够转化为实际教学胜势;应促进数字教学资源创新应用,增强教育数字化转型的实效性和适应性.

具有次线性中立项的二阶微分方程的振动性

为进一步发展和完善微分方程的振动理论,研究一类具有次线性中立项的二阶非线性微分方程的振动性,利用Riccati变换、不等式技巧和分析性质,获得该类方程振动的充分条件.

Multi-Stage-Based Siamese Neural Network for Seal Image Recognition

Seal authentication is an important task for verifying the authenticity of stamped seals used in various domains to protect legal documents from tampering and counterfeiting.Stamped seal inspection is commonly audited manually to ensure document authenticity.However,manual assessment of seal images is tedious and laborintensive due to human errors,inconsistent placement,and completeness of the seal.Traditional image recognition systems are inadequate enough to identify seal types accurately,necessitating a neural network-based method for seal image recognition.However,neural network-based classification algorithms,such as Residual Networks(ResNet)andVisualGeometryGroup with 16 layers(VGG16)yield suboptimal recognition rates on stamp datasets.Additionally,the fixed training data categories make handling new categories to be a challenging task.This paper proposes amulti-stage seal recognition algorithmbased on Siamese network to overcome these limitations.Firstly,the seal image is pre-processed by applying an image rotation correction module based on Histogram of Oriented Gradients(HOG).Secondly,the similarity between input seal image pairs is measured by utilizing a similarity comparison module based on the Siamese network.Finally,we compare the results with the pre-stored standard seal template images in the database to obtain the seal type.To evaluate the performance of the proposed method,we further create a new seal image dataset that contains two subsets with 210,000 valid labeled pairs in total.The proposed work has a practical significance in industries where automatic seal authentication is essential as in legal,financial,and governmental sectors,where automatic seal recognition can enhance document security and streamline validation processes.Furthermore,the experimental results show that the proposed multi-stage method for seal image recognition outperforms state-of-the-art methods on the two established datasets.

术后腹腔粘连形成机制及间充质干细胞外泌体的治疗前景

背景:术后腹腔粘连的形成是一个复杂的过程,预防术后粘连是临床上亟待解决的问题。目的:旨在从细胞及分子水平分析粘连的发生机制,为间充质干细胞外泌体预防和治疗粘连提供理论依据。方法:以“腹腔粘连,盆腔粘连,术后粘连,上皮间充质转化,间充质干细胞,干细胞外泌体,间充质干细胞外泌体”为中文检索词,以“Abdominal adhesion,pelvic adhesion,postoperative adhesion,epithelial mesenchymal transformation,mesenchymal stem cell,stem cell exosomes,mesenchymal stem cell exosomes”为英文检索词,检索PubMed、中国知网和中国生物医学文献数据库,筛选各数据库建库至2023年8月发表的术后腹腔粘连及间充质干细胞外泌体干预研究的相关文章,并进行系统的整理分析,最终纳入54篇文献进行综述。结果与结论:(1)任何腹膜炎症、机械损伤、组织缺血和异物植入等病理因素均可引起腹膜表面的损伤,引起术后腹腔粘连;腹腔粘连的形成过程包括腹膜间皮细胞修复、炎性反应、纤溶系统及凝血途径等过程的相互作用,涉及多种细胞因子及信号通路,包括Wnt/β-catenin通路能诱导纤维化和血管生成,并与转化生长因子β/Smads信号通路相互协同,能刺激成纤维细胞增殖,引起腹膜纤维化;同时,核转录因子kB信号通路上调细胞炎症因子的表达,促进成纤维细胞增生,组织纤维化的过程中发挥关键作用。(2)干细胞的旁分泌功能是目前以再生医学为基础的分子干预腹腔粘连的重要方向,可以参与作用于腹腔粘连中的多种复杂细胞因子及信号通路。(3)相对于传统治疗腹腔粘连的方法,间充质干细胞外泌体具有生物活性、使用安全、无需特殊培养和扩增、更低的免疫原性及较长的稳定性等优势,能通过多种途径引导一种正常的修复和愈合。(4)间充质干细胞外泌体在以往研究中均被证明可以参与调节粘连形成的上述各过程,在临床研究中显示出潜在的应用前景,但需要进一步临床研究以探索适当的间充质干细胞外泌体治疗方案,来解决临床转化的问题。

Transforming growth factor-beta 1 enhances discharge activity of cortical neurons

Transforming growth factor-beta 1(TGF-β1)has been extensively studied for its pleiotropic effects on central nervous system diseases.The neuroprotective or neurotoxic effects of TGF-β1 in specific brain areas may depend on the pathological process and cell types involved.Voltage-gated sodium channels(VGSCs)are essential ion channels for the generation of action potentials in neurons,and are involved in various neuroexcitation-related diseases.However,the effects of TGF-β1 on the functional properties of VGSCs and firing properties in cortical neurons remain unclear.In this study,we investigated the effects of TGF-β1 on VGSC function and firing properties in primary cortical neurons from mice.We found that TGF-β1 increased VGSC current density in a dose-and time-dependent manner,which was attributable to the upregulation of Nav1.3 expression.Increased VGSC current density and Nav1.3 expression were significantly abolished by preincubation with inhibitors of mitogen-activated protein kinase kinase(PD98059),p38 mitogen-activated protein kinase(SB203580),and Jun NH2-terminal kinase 1/2 inhibitor(SP600125).Interestingly,TGF-β1 significantly increased the firing threshold of action potentials but did not change their firing rate in cortical neurons.These findings suggest that TGF-β1 can increase Nav1.3 expression through activation of the ERK1/2-JNK-MAPK pathway,which leads to a decrease in the firing threshold of action potentials in cortical neurons under pathological conditions.Thus,this contributes to the occurrence and progression of neuroexcitatory-related diseases of the central nervous system.

基于双流特征融合的肺结节图像分割网络

为了提高对肺结节的准确分割,文中提出一种CSF-UNet的双骨干网络特征提取方法。使用两种不同侧重的骨干网络并行提取图像特征,通过利用ConvNeXt网络提取局部特征,并结合Swin Transformer网络提取全局特征来提升模型的特征提取能力。提出了一种自适应大核融合模块,有效地融合两种不同规格的特征,通过串联两个大核卷积获得更大的感受野和动态选择机制来突出重要的空间区域。在SPPF中融合了ECA通道注意力和密集链接,提出了ESPP模块以进一步挖掘双骨干网络提取的高级语义信息,使网络更加关注重要的特征通道。在LIDC数据集上的实验结果表明,提出的模型在3个指标上优于基本UNet模型以及最近几年其他研究团队提出的针对该数据集的分割网络。最终,CSF-UNet模型实现了78.1%的IoU、87.71%的DSC、87.19%的敏感度和88.23%的精确度。这些结果表明,该模型在肺结节分割方面表现出良好的性能,对医生进行早期肺结节诊断具有重要的临床意义和应4用价值。

基于特征间几何约束的指针仪表读数识别方法

在指针式仪表示值监控系统中,倾斜拍摄仪表图像时会导致识别结果出现偏差,为此提出一种基于仪表特征间几何约束的识别方法。首先利用一幅平铺于仪表上表面的平面标定板图像实现相机参数标定,生成仪表在标定平面上的虚拟图像;然后利用表壳上表面、刻度平面、指针平面与虚拟像平面间的平行关系,确定表壳圆的圆心、仪表刻度圆心、指针转轴中心特征间的透视投影约束关系,利用图像的极坐标变换和离散傅里叶变换提取仪表刻度圆心的最优位置及起始刻度线的角度,利用Hough变换的投票原理估计指针的转动角度;最后利用角度法实现仪表读数的解算。以某型号指针式温度计为测试对象进行实验验证,识别结果的平均误差为0.23℃,最大误差为0.7℃,本文方法能够准确识别仪表读数且识别精度优于人工读数。

Subretinal fibrosis secondary to neovascular age-related macular degeneration:mechanisms and potential therapeutic targets

Subretinal fibrosis is the end-stage sequelae of neovascular age-related macular degeneration.It causes local damage to photoreceptors,retinal pigment epithelium,and choroidal vessels,which leads to permanent central vision loss of patients with neovascular age-related macular degeneration.The pathogenesis of subretinal fibrosis is complex,and the underlying mechanisms are largely unknown.Therefore,there are no effective treatment options.A thorough understanding of the pathogenesis of subretinal fibrosis and its related mechanisms is important to elucidate its complications and explore potential treatments.The current article reviews several aspects of subretinal fibrosis,including the current understanding on the relationship between neovascular age-related macular degeneration and subretinal fibrosis;multimodal imaging techniques for subretinal fibrosis;animal models for studying subretinal fibrosis;cellular and non-cellular constituents of subretinal fibrosis;pathophysiological mechanisms involved in subretinal fibrosis,such as aging,infiltration of macrophages,different sources of mesenchymal transition to myofibroblast,and activation of complement system and immune cells;and several key molecules and signaling pathways participating in the pathogenesis of subretinal fibrosis,such as vascular endothelial growth factor,connective tissue growth factor,fibroblast growth factor 2,platelet-derived growth factor and platelet-derived growth factor receptor-β,transforming growth factor-βsignaling pathway,Wnt signaling pathway,and the axis of heat shock protein 70-Toll-like receptors 2/4-interleukin-10.This review will improve the understanding of the pathogenesis of subretinal fibrosis,allow the discovery of molecular targets,and explore potential treatments for the management of subretinal fibrosis.

AAV-mediated expression of p65shRNA and bone morphogenetic protein 4 synergistically enhances chondrocyte regeneration

BACKGROUND:Adeno-associated virus(AAV)gene therapy has been proven to be reliable and safe for the treatment of osteoarthritis in recent years.However,given the complexity of osteoarthritis pathogenesis,single gene manipulation for the treatment of osteoarthritis may not produce satisfactory results.Previous studies have shown that nuclear factorκB could promote the inflammatory pathway in osteoarthritic chondrocytes,and bone morphogenetic protein 4(BMP4)could promote cartilage regeneration.OBJECTIVE:To test whether combined application of AAV-p65shRNA and AAV-BMP4 will yield the synergistic effect on chondrocytes regeneration and osteoarthritis treatment.METHODS:Viral particles containing AAV-p65-shRNA and AAV-BMP4 were prepared.Their efficacy in inhibiting inflammation in chondrocytes and promoting chondrogenesis was assessed in vitro and in vivo by transfecting AAV-p65-shRNA or AAV-BMP4 into cells.The experiments were divided into five groups:PBS group;osteoarthritis group;AAV-BMP4 group;AAV-p65shRNA group;and BMP4-p65shRNA 1:1 group.Samples were collected at 4,12,and 24 weeks postoperatively.Tissue staining,including safranin O and Alcian blue,was applied after collecting articular tissue.Then,the optimal ratio between the two types of transfected viral particles was further investigated to improve the chondrogenic potential of mixed cells in vivo.RESULTS AND CONCLUSION:The combined application of AAV-p65shRNA and AAV-BMP4 together showed a synergistic effect on cartilage regeneration and osteoarthritis treatment.Mixed cells transfected with AAV-p65shRNA and AAV-BMP4 at a 1:1 ratio produced the most extracellular matrix synthesis(P<0.05).In vivo results also revealed that the combination of the two viruses had the highest regenerative potential for osteoarthritic cartilage(P<0.05).In the present study,we also discovered that the combined therapy had the maximum effect when the two viruses were administered in equal proportions.Decreasing either p65shRNA or BMP4 transfected cells resulted in less collagen II synthesis.This implies that inhibiting inflammation by p65shRNA and promoting regeneration by BMP4 are equally important for osteoarthritis treatment.These findings provide a new strategy for the treatment of early osteoarthritis by simultaneously inhibiting cartilage inflammation and promoting cartilage repair.

Stage IV malignant transformation of mature cystic teratoma palliatively treated with concurrent chemoradiotherapy:A case report

BACKGROUND Malignant transformation(MT)of mature cystic teratoma(MCT)has a poor prognosis,especially in advanced cases.Concurrent chemoradiotherapy(CCRT)has an inhibitory effect on MT.CASE SUMMARY Herein,we present a case in which CCRT had a reduction effect preoperatively.A 73-year-old woman with pyelonephritis was referred to our hospital.Computed tomography revealed right hydronephrosis and a 6-cm pelvic mass.Endoscopic ultrasound-guided fine-needle biopsy(EUS-FNB)revealed squamous cell carci-noma.The patient was diagnosed with MT of MCT.Due to her poor general con-dition and renal malfunction,we selected CCRT,expecting fewer adverse effects.After CCRT,her performance status improved,and the tumor size was reduced;surgery was performed.Five months postoperatively,the patient developed dis-semination and lymph node metastases.Palliative chemotherapy was ineffective.She died 18 months after treatment initiation.CONCLUSION EUS-FNB was useful in the diagnosis of MT of MCT;CCRT suppressed the disea-se and improved quality of life.

基于中间态的网络安全机器翻译模型

针对网络安全领域的中译英机器翻译存在大量专业术语,数据规模小以及不同语言的句法结构存在差异等问题,提出了一种基于中间态的网络安全机器翻译模型。通过研究中英句法结构上的差异,制定将中文转换为中间态的规则。结合BERT与SpaCy生成包含语义嵌入的中间态词向量,利用BERT捕捉句子的上下文语义信息,通过SpaCy解析依存关系,将两者整合为高维特征向量。实验结果表明,所提出的翻译模型在低资源网络安全双语数据集BLEU值达到了28.2,提升了1.0个BLEU值,WMT18公开中英双语数据集BLEU值达到了21.1,提升了0.9个BLEU值。可见通过中间态以及捕捉上下文语义信息和句法结构信息,模型能够更准确地处理专业术语、复杂句法等问题。

Comparing Three of the Leadership Theories: Leader-Member Exchange Theory,transformational Leadership and Team Leadership

Leadership is a complex process.It is one of the most researched areas around the world.It has gained importance in every walk of life from politics to business and from education to social organizations.According to the study of"Leadership in Adult Education Venues",here has a much more clear recognition of leadership:leadership is a process whereby an individual influences a group of individuals to achieve a common goal.There are many approaches of leadership throughout the study of this class,the three theories of leadership I choose to describe in this paper are:Leader-Member Exchange(LMX)Theory,Transformational Leadership,and Team Leadership.

数字化转型、新质生产力与企业创新绩效

在大数据与互联网时代,企业数字化转型是企业发展的必然趋势,转型过程也将对企业创新绩效产生影响。利用2015—2021年中国上市公司企业微观数据,实证分析发现:企业数字化转型将显著提升企业创新绩效水平,并通过企业科技研发投入和企业创新专利产出来体现。采用一系列稳健性检验和内生性方法分析后,模型结论依旧成立。异质性分析发现,国有企业、非重污染企业以及处在东南部区域企业数字化转型对企业创新绩效的影响效应更强。机制分析发现,企业数字化转型可通过提升企业新质生产力来提高企业的创新绩效水平。最后,从企业本身、监管机构以及政府三个角度对数字化转型和企业创新发展提出展望。

基于阳化气阴成形理论探讨恶性肿瘤的发病机制

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