Building a Business and Strategic Intelligence Policy as a Strategy for Promoting Congolese Business Progress and Healthy Economic Development in Eastern DRC

The aim of this study was to verify the existence of business and strategic intelligence policies at the level of Congolese companies and at the state level, likely to foster progress and healthy development in the east of the DRC. The study was based on a mixed perspective consisting of objective analysis of quantitative data and interpretative analysis of qualitative data. The results showed that business and strategic intelligence policies have not been established at either company or state level, as this is an area of activity that is not known to the players in companies and public departments, and there are no units or offices in their organizational structures responsible for managing strategic information for competitiveness on the international market. In addition, there is a real need to establish strategic information management units within companies, upstream, and to set up a national strategic information management department or agency to help local companies compete in the marketplace, downstream. This reflects the importance and timeliness of building business and strategic intelligence policies to ensure economic progress and development in the eastern DRC. Business and strategic intelligence provides companies with an appropriate tool for researching, collecting, processing and disseminating information useful for decision-making among stakeholders, in order to cope with a crisis or competitive situation. The study suggests a number of key recommendations based on its findings. To the government, it is recommended to establish the national policy of business and strategic intelligence by setting up a national agency of strategic intelligence in favor of local companies;and to companies to establish business intelligence units in their organizational structures in favor of stakeholders to foster advantageous decision-making in the competitive market and achieve progress. Finally, the study suggests that studies be carried out to fully understand the opportunities and impact of business and strategic intelligence in African countries, particularly in the DRC.

Hesitant Fuzzy-Sets Based Decision-Making Model for Security Risk Assessment

Security is an important component in the process of developing healthcare web applications.We need to ensure security maintenance;therefore the analysis of healthcare web application’s security risk is of utmost importance.Properties must be considered to minimise the security risk.Additionally,security risk management activities are revised,prepared,implemented,tracked,and regularly set up efficiently to design the security of healthcare web applications.Managing the security risk of a healthcare web application must be considered as the key component.Security is,in specific,seen as an add-on during the development process of healthcare web applications,but not as the key problem.Researchers must ensure that security is taken into account right from the earlier developmental stages of the healthcare web application.In this row,the authors of this study have used the hesitant fuzzy-based AHP-TOPSIS technique to estimate the risks of various healthcare web applications for improving security-durability.This approach would help to design and incorporate security features in healthcare web applications that would be able to battle threats on their own,and not depend solely on the external security of healthcare web applications.Furthermore,in terms of healthcare web application’s security-durability,the security risk variable is measured,and vice versa.Hence,the findings of our study will also be useful in improving the durability of several web applications in healthcare.

Productivity Growth, Technological Progress, and Efficiency Change in Vietnamese Manufacturing Industries: A Stochastic Frontier Approach

This study applies a stochastic frontier production approach to decompose the sources of total productivity (TFP) growth into technical progress and changes in technical efficiency of 8057 firms in Vietnamese manufacturing industries during 2003-2007. Using both total manufacturing industry and sub-manufacturing industrial regressions, the analysis focuses on the trend of technological progress (TP) and technical efficiency change (TEC), and the role of productivity change in economic growth. According to the estimated results, the annual technical progress for the manufacturing industry and sub-manufacturing industries are calculated directly from the estimated parameters of the translog stochastic frontier production function by taking a partial derivative of output with respect to time t. The average technical changes in manufacturing industry and sub-manufacturing industries are positive, with an average technical change about 5.2%, 5.8%, 5.4%, 11.8%, 4.6%, 4.1%, 7.3%, 4.8%, 4.8% and 4.8% for total sample, food products & beverages, textile & wearing apparel, footwear, paper & products, industrial chemicals, rubber & plastic products, non- metallic mineral, basic & fabricated metal and other sub-industries, respectively. Total TFP in the manufacturing sector has grown at the annual rate of 0.052, although the rate of growth decreased continuously during the sample period. For the sub-industry estimates during the sample period, TFP grew fastest in the footwear sub-industry, with annual average growth rate of 11.8%, followed by the rubber & plastic products with a rate of 7.3%, and the food products & beverages with a rate of 5.8% per annum.

Stable isotope labeling-mass spectrometry as a new approach to determine remyelination

Remyelination and need to access it:A range of diseases such as Guillain-Barre syndrome,Pelizaeus Merzbacher disease,relapsing-remitting and secondary progressive multiple sclerosis is associated with various degrees of nerve demyelination.These diseases present with various degrees of demyelination and differentclinical manifestations.

基于多尺度Scale-Unet的单样本图像翻译

随着生成对抗网络(GAN)的发展,基于单样本的无监督图像到图像翻译(UI2I)取得了重大进展。然而,以前方法无法捕获图像中的复杂纹理并保留原始内容信息。为解决这个问题,提出了一种基于尺度可变U-Net结构(Scale—Unet)的新型单样本图像翻译结构SUGAN。所提出的SUGAN使用Scale—Unet作为生成器,利用多尺度结构和渐进方法不断改进网络结构,以从粗到细地学习图像特征。同时,提出了尺度像素损失scale-pixel来更好地约束保留原始内容信息,防止信息丢失。实验表明,与SinGAN、TuiGAN、TSIT、StyTR2等公共数据集Summer■Winter、Horse■Zebra上的方法相比,该方法生成图像的SIFID值平均降低了30%。所提方法可更好地保留图像内容信息,同时生成详细逼真的高质量图像。

扩大翼点入路逐步控制性减压手术治疗重型颅脑损伤的效果分析

目的:分析扩大翼点入路逐步控制性减压手术治疗重型颅脑损伤的效果。方法:选取2021年1月—2023年1月钦州市第二人民医院神经外科收治的重型颅脑损伤患者86例作为研究对象,随机分为对照组和观察组,各43例。对照组采用大骨瓣减压术联合传统快速减压术治疗,观察组采用扩大翼点入路逐步控制性减压术治疗。比较两组颅内压、美国国立卫生研究院脑卒中量表(NIHSS)评分、格拉斯哥昏迷指数(GCS)评分及预后情况。结果:开颅前,两组颅内压水平比较,差异无统计学意义(P>0.05);术后24、72 h,两组颅内压水平降低,观察组低于对照组,差异有统计学意义(P<0.05)。术前,两组NIHSS、GCS评分比较,差异无统计学意义(P>0.05);术后72 h,两组NIHSS评分降低,观察组低于对照组,两组GCS评分升高,观察组高于对照组,差异有统计学意义(P<0.05)。观察组预后良好率高于对照组,差异有统计学意义(P=0.030)。结论:扩大翼点入路逐步控制性减压手术治疗重型颅脑损伤的效果显著,可降低颅内压水平,改善患者神经功能、昏迷程度及预后。

糖尿病视网膜病变的临床特点及治疗进展研究

糖尿病性视网膜病变是一种较为常见的糖尿病微血管并发症之一。其病程复杂、治疗难度大,糖尿病性视网膜病变是现阶段较为严重的致盲性眼病,严重影响了患者的视力功能和生活质量。随着医学技术的不断进步,治疗手段也在不断创新发展。本文阐述了糖尿病视网膜病变的概念、病因和发病机制,并对糖尿病视网膜病变的治疗方法进行梳理,深入探讨其在临床实践中的应用和前景,旨在提升治疗效果、降低治疗风险,最大限度地提高患者生活质量。

脊髓型颈椎病颈前入路术后轴性症状治疗进展

脊髓型颈椎病是脊柱外科较为常见的颈椎退行性疾患,多数患者临床症状严重,保守治疗效果不满意。目前主要以手术治疗为主,部分患者由于脊髓神经长期受压等原因,术后仍存在颈肩部酸胀疼痛、麻木、胸腹部紧束感等症状,影响正常工作及生活。中医学采用多种疗法治疗术后脊髓神经功能恢复近年取得满意效果,或联用西药效果显著。文章就脊髓型颈椎病前路术后脊髓神经功能康复的中西医治疗研究进行综述。

各民族交往交流交融的研究进展与未来进路——基于CNKI期刊论文(2011—2022)的分析

促进各民族交往交流交融是民族工作的重要内容。运用citespace计量分析软件对中国知网(CNKI)收录的424篇“各民族交往交流交融”相关研究的期刊论文进行量化分析,可以发现学界关于各民族交往交流交融研究的期刊论文呈现整体持续上升趋势,但科研学者和研究机构合作度低,研究规模小;热点问题主要集中为探讨民族交往、交流、交融形成民族团结、亲如一家的和谐民族关系,推动构建稳定繁荣、和谐共享的中华民族共同体,为中华民族伟大复兴汇聚智慧和力量等方面。未来研究进路趋向于多学科多机构合作研究、强化“走廊型”新型场域中各民族交往交流交融研究以及注重民族地区民族互嵌式社会结构和社区环境建设与各民族交往交流交融关系研究等三个方面。

腔镜甲状腺手术的沿革、现状与展望

近年来,甲状腺疾病发病率呈逐年飙升趋势,且年轻化趋向显著,手术是治疗甲状腺疾病的有效方法,传统开放手术(OT)颈部瘢痕明显,严重影响患者美观和生活质量。随着腔镜技术的发展和患者对美容需求的增加,腔镜甲状腺手术发展迅速,并衍生出多种入路和方式。各种入路均有其优缺点和适应症,文章就腔镜甲状腺手术各种主流入路的演变,优缺点及发展趋势进行综述。

生态文明视域下贯彻大食物观的法治保障

大食物观是生态文明思想的延续,其在宏观层面反映了对人与自然和谐共生的价值追求,在中观层面契合了绿水青山就是金山银山的绿色发展理念,在微观层面依赖于山水林田湖草沙生命共同体。贯彻大食物观与生态文明建设密不可分,当前作为大食物观外部支撑的农业生态现状不容乐观,农业生态法治保护面临困境。对此,应以严密法治观搭建起四梁八柱,改善农业生态,保障大食物观的贯彻落实。

A stochastic approach for integrating market and technical uncertainties in economic evaluations of petroleum development

The paper presents a stochastic and economic analysis for petroleum development under uncertain market and technical environments. Mean-reversion with jumps for price forecasting is used to consider market uncertainty, while various scenarios for the reservoir properties and cost are employed to consider technical uncertainty. Monte Carlo simulation is carried out to obtain the feasible range of net present values and internal rates of return. The influence of stochastic parameters is examined through correlation coefficients. The stochastic approach yields more reliable evaluation and effectively investigates the characteristics of development. The integration of uncertainties and contractual terms results in an irregular tendency in the future cash flow and reveals that a larger reserve does not guarantee a greater profit. The reserve and the well rate affect the economic values whereas the parameters for price prediction don＇t. The research confirms the necessity of qualifying uncertainties for realistic decision-making at the initial stage of development.

Dynamic probability evaluation of safety levels of earth-rockfill dams using Bayesian approach

In order to accurately predict and control the aging process of dams, new information should be collected continuously to renew the quantitative evaluation of dam safety levels. Owing to the complex structural characteristics of dams, it is quite difficult to predict the time-varying factors affecting their safety levels. It is not feasible to employ dynamic reliability indices to evaluate the actual safety levels of dams. Based on the relevant regulations for dam safety classification in China, a dynamic probability description of dam safety levels was developed. Using the Bayesian approach and effective information mining, as well as real-time information, this study achieved more rational evaluation and prediction of dam safety levels. With the Bayesian expression of discrete stochastic variables, the a priori probabilities of the dam safety levels determined by experts were combined wfth the likelihood probability of the real-time check information, and the probability information for the evaluation of dam safety levels was renewed. The probability index was then applied to dam rehabilitation decision-making. This method helps reduce the difficulty and uncertainty of the evaluation of dam safety levels and complies with the current safe decision-making regulations for dams in China. It also enhances the application of current risk analysis methods for dam safety levels.

Technological progress and prospects of reservoir stimulation

Through reviewing the development history of reservoir hydraulic fracturing technology, this paper demonstrated the latest research progress at home and abroad and summarized six technical gaps between China and the world, that is fracture propagation mechanism, fracturing software development, fracturing vehicle equipment, downhole tools temperature and pressure resistance, proppant replacement and big data information database. The technical difficulties include lack of geological-engineering deep integration, unclear factors on horizontal well multi-fracture propagation, difficulty in reducing construction costs, environment protection pressure, lack of new experimental and field test equipment, immature techniques for fracturing fluid, and low efficacy of factorized fracturing equipment. We proposed six suggestions on China’s future reservoir hydraulic fracturing technology:(1) strengthen the mechanism study of unconventional reservoir hydraulic fracturing;(2) accelerate the development of geological-engineering integration software;(3) promote the upgrading of EOR fracturing techniques;(4) carry out low-cost multi-functional fracturing fluid formula experiment;(5) complete high-efficiency fracturing equipment;(6) build big database, informational and remote decision-making system of hydraulic fracturing.

面向非独立同分布数据的联邦学习研究进展

在联邦学习中,因数据只需要在终端设备上进行训练而不需要上传到服务器端,从而有效的保证了数据的隐私性和安全性.目前关于联邦学习各方面的研究虽然取得了很大的进展,但是联邦学习中的非独立同分布数据问题仍然是一个难以攻克的难题.本文对联邦学习中非独立同分布数据方面的研究进行了大量的调研,发现现有的研究主要涉及以下几个方面:性能优化、算法优化、模型优化、通信成本、隐私保护和个性化联邦学习等.为了归纳整理联邦学习中关于非独立同分布数据的相关研究,本文从以上各个方面详细介绍了现阶段联邦学习中有关非独立同分布数据的研究方案;最后分析了联邦学习中非独立同分布数据未来的研究方向,为今后联邦学习的研究指明方向.

油气藏三维地质建模研究进展

本文首先简要介绍了油气藏三维地质建模方法,其次重点阐述了国内外地质建模技术的发展,最后分析了油气藏三维地质建模存在的问题,主要从建模研究的对象以及建模方法的选择等方面进行说明,并探讨了油气藏三维地质建模的发展方向。

基于多尺度方法的复合材料加筋板极限强度分析

[目的]复合材料内部结构形式多样,深入分析组分材料的损伤机理可为复合材料加筋板的极限强度研究提供基础。[方法]首先,采用多尺度方法,对船用玻璃纤维增强塑料(GFRP)复合材料加筋板进行微观、细观和宏观的力学分析,建立短切毡(CSM)、机织粗纱(WR)材料的微观和细观代表性体积单元(RVE)模型;然后,通过微观和细观RVE模型均匀化,获得宏观等效刚度,并采用ABAQUS软件的子程序VUMAT编写复合材料渐进损伤演化模型,分别得到微观和细观模型的损伤演化机理及宏观单层板等效强度。[结果]结果显示,采用多尺度方法可以很好地评估得到复合材料的宏观力学性能;复合材料加筋板的宏观极限强度主要由纤维束的失效决定。[结论]经多尺度分析得到的宏观材料参数可以用于该材料铺层加筋板的极限强度计算,复合材料的细观力学参数化研究可为材料加工工艺影响研究提供分析手段。

腹腔镜IPOM七步法修补术在创伤性腹壁疝中的应用

目的探讨腹腔镜内网片(intraperitoneal onlay mesh,IPOM)七步法修补术在创伤性腹壁疝(traumatic abdominal wall hernias,TAWH)中的应用价值。方法回顾性分析2018年1月—2022年10月中山大学附属第六医院胃肠、疝和腹壁外科收治的12例TAWH患者的临床资料和手术录像,其中男性9例,女性3例;年龄44~66岁,平均56.5岁;体质量指数(body mass index,BMI)平均(25.1±3.2)kg/m^(2),最大缺损长轴57~150mm,平均105.5mm,短轴45~105mm,平均68.5mm。致伤原因:道路交通伤10例,机器挤压伤2例。评价腹腔镜IPOM七步法(即腹腔内松解腹壁粘连后,关闭筋膜缺损并置入补片加强腹壁)修补TAWH的可行性,观察术后复发情况,并结合手术录像分析TAWH的特点、术中和术后并发症、术后恢复情况等。结果12例患者均顺利完成腹腔镜IPOM七步法修补术。术前行肉毒素腹横肌注射及渐进性气腹,未发现明显合并疾病。术中无结肠及小肠损伤病例,术后无肠瘘病例。术后恢复排气时间1~5d,平均2.3d,未出现手术部位感染。患者均在门诊进行体格检查,随访3~60个月,平均35.3个月,无复发病例。结论腹腔镜IPOM七步法修补术治疗TAWH是安全可行的。

中国式现代化的历史脉络与推进路径研究

中国式现代化是党的二十大科学阐发的重大标志性概念范畴与话语创新范式,是贯穿党的二十大报告的文脉肌理、主题主线与核心话语,是具有深邃历史逻辑、深刻思想内涵、鲜明实践表达的话语范式建构与思想理论体系。从革命时期“两个转变”与“实现社会主义工业化”思想的提出,到“四个现代化”目标与“三步走”战略的确立,再到新时代“两步走”战略安排与中国式现代化的成功创造,中国式现代化的演化跃迁呈现清晰的历史脉络。其理论体系蕴含包括“本质论”“特征论”“战略论”“系统论”“方法论”“关键论”在内的话语建构。新时代新征程继续推进中国式现代化跃迁升华,应坚持两个“行”的科学理论指导,保持三个“务必”的精神状态,掌握“六个坚持”的科学思想方法,聚焦“九大任务”的战略要求,发挥“第二个答案”的巨大引领作用。

腔镜在甲状腺外科中的应用进展

传统甲状腺切除术会于颈部留疤,这会对患者造成社会压力和心理负担,严重影响其生活质量。随着医学的进步、科技的创新以及患者美观需求的增强,甲状腺手术经历传统开放的甲状腺切除术-电视辅助甲状腺切除术-腔镜甲状腺切除术-机器人甲状腺切除术,以获得更好的美容效果。本文主要结合国内、外相关文献就腔镜在甲状腺切除术中的临床进展进行综述,为当前腔镜在甲状腺外科中的应用提供一定参考。