英国联合利华公司的兼并策略研究

当前,国内外市场正掀起公司整合、兼并的浪潮,针对英国联合利华公司的战略动机和兼并对公司的潜在影响。运用竞争态势分析（SWOT）方法．从六个方面分析了联合利华公司两个成功案例。结合管理模式和国家文化的差异。关注社会文化与“战略性文化适应”。对联合利华最近5年来的成长战略和Best Foods公司战略核心要素进行了分析。评价了联合利华的战略发展和将来的战略发展方向。指出联合利华品牌减少战略体现出核心竞争,加强个人护理产品的生产．保持持续发展和竞争优势．以期达到相当的经济规模．是值得借鉴的成功经验。     

基于电磁辐射峰谷比值法的煤与瓦斯突出预警

为了提高电磁辐射预警煤与瓦斯突出危险的准确性,减少误报现象,在分析大量电磁辐射现场数据基础上,基于电磁辐射预警煤与瓦斯突出危险原理,提出了电磁辐射峰谷比值法,利用正态分布统计特征计算每个班次的电磁辐射瞬时强度峰值均值和谷值均值,并将其比值作为煤与瓦斯突出危险性的预警值。最后,将该方法应用于义忠煤矿11112风巷掘进工作面,研究结果表明:与临界值系数和动态变化趋势系数法相比,峰谷比值法误报较低,预警准确性高,能够很大程度上减少误报对生产的影响。     

化工园区外围控制距离的确定及环境影响减缓措施

指出制定化工园区周边控制距离过程中需要考虑的重要因素,确定了化工园区外围控制距离中的严禁建设区域和缓冲区域的范围,为城市规划中化工园区外围地域的合理规划提出了依据。同时提出减缓化工园区对园区外影响的措施。     

碳源对微生物硝酸盐异化还原成铵过程的影响

微生物通过异化性硝酸盐还原成铵(DNRA)途径,硝态氮转化为仍可生物再利用的铵盐。以琥珀酸钠、柠檬酸钠、酒石酸钾钠为碳源,研究碳源的差异对有氧条件下微生物通过DNRA途径产铵的影响。结果显示,以琥珀酸钠和柠檬酸钠为碳源,初始浓度为20 mmol/L是较佳的实验条件,此时C/N约为1.5～2.0,NH4+-N质量浓度30.0～45.0 mg/L,最高产铵率分别为29.9%和27.0%;以酒石酸钾钠为碳源则在初始浓度为30 mmol/L,C/N约为2.0,NH4+-N质量浓度为40.0～45.0 mg/L时,最高产铵率为30.7%。反硝化和DNRA过程是同时存在的,培养液中NO3--N浓度的下降伴随着中间产物NO2--N的积累和NH4+-N浓度的升高。     

管制员安全能力模型研究

为准确评价管制员安全能力,基于能力的定义和管制员工作职责,界定管制员安全能力的内涵;依据该内涵及其工作特性,建立由身体素质、业务素质和意识3个结构维度组成的管制员安全能力模型。其中,身体素质包括生理状况和心理状况;业务素质包括教育状况、培训状况、技能状况和经验状况;意识包括安全意识和工作意识。在各项指标性质差异较大情况下,利用功效系数法实现评价指标的标准化以减小误差,客观反映指标情况,同时采用G1-法和熵值法集成的主客观综合赋权法确定指标的权重,在一定程度上弥补主客观单一赋权的不足,最后通过逼近理想解排序法(TOPSIS)评价管制员安全能力。结果表明,按照从大到小排序对管制员安全能力的影响因素依次为意识、身体素质和业务素质。就对所论能力的影响而言,心理状况强于生理状况;技能状况强教育、培训和经验状况;安全意识对意识的影响大于工作意识。     

无起爆药雷管内管装药密度对燃烧转爆轰的影响研究

起爆药雷管生产中产生大量有毒废水,且其运输、贮存存在安全隐患。为克服这些困难,笔者自行制备无起爆药雷管。采用圆筒式金属内管中装填超细PETN(季戊四醇四硝酸酯),作为起爆元件,代替起爆药部分,研究装药密度对内管燃烧转爆轰(DDT)的影响。研究结果表明,在内管壁厚1～2 mm,内径Φ4.0 mm,长25 mm,装压密度为0.8～1.14 g/cm3的范围内,内管能可靠实现燃烧转爆轰。     

基于尺寸效应的采空区危险度RS-TOPSIS法辨识

为准确预测地下采空区危险性,选用采空区结构的跨度、暴露面积、高度、埋深、矿柱尺寸布置等5个采空区危险度结构尺寸影响因素作为评价指标,建立采空区危险度粗糙集-逼近理想解排序法(RS-TOPSIS)综合评价体系。基于粗糙集理论(RS)中的粗糙依赖度,通过计算评价指标与评价等级间的粗糙依赖度得到指标权重。以40个采空区探测系统(CMS)实测采空区作为评价对象,根据单指标分类区间下限构造5个不同等级的典型采空区,结合逼近理想解的排序法(TOPSIS),实现采空区危险度5级贴近度的分类,并辨识实测采空区危险度。研究结果表明,用为采空区群矿山建立的采空区危险度基于结构尺寸效应的RS-TOPSIS法,能够实现危险度5级分类辨识,辨识结果与采空区危险度数值分析结果吻合度为92.5%。     

基于模糊数学的石油化工装置HAZOP风险分析技术研究

对传统的HAZOP分析中偏差原因发生可能性进行量化。对于有统计数据的,根据行业数据、公司经验及企业事故建立HAZOP风险分析统计数据库;对于没有统计数据的HAZOP分析偏差原因发生概率,通过专家主观评判,用模糊数理论将专家自然语言转换为模糊数,采用左右模糊排序法将模糊数转换为模糊失效概率值。研究了偏差后果严重程度的划分标准,并根据偏差原因概率和偏差后果严重程度确定风险等级,利用风险矩阵得出偏差风险的大小。从而把HAZOP分析方法从定性改进为半定量的分析方法。据此对石油化工装置进行了HAZOP风险分析。     

Autonomous emergency braking systems adapted to snowy road conditions improve drivers' perceived safety and trust

Objective: This study investigated drivers' evaluation of a conventional autonomous emergency braking (AEB) system on high and reduced tire–road friction and compared these results to those of an AEB system adaptive to the reduced tire–road friction by earlier braking. Current automated systems such as the AEB do not adapt the vehicle control strategy to the road friction; for example, on snowy roads. Because winter precipitation is associated with a 19% increase in traffic crashes and a 13% increase in injuries compared to dry conditions, the potential of conventional AEB to prevent collisions could be significantly improved by including friction in the control algorithm. Whereas adaption is not legally required for a conventional AEB system, higher automated functions will have to adapt to the current tire–road friction because human drivers will not be required to monitor the driving environment at all times. For automated driving functions to be used, high levels of perceived safety and trust of occupants have to be reached with new systems. The application case of an AEB is used to investigate drivers' evaluation depending on the road condition in order to gain knowledge for the design of future driving functions.

Methods: In a driving simulator, the conventional, nonadaptive AEB was evaluated on dry roads with high friction (μ = 1) and on snowy roads with reduced friction (μ = 0.3). In addition, an AEB system adapted to road friction was designed for this study and compared with the conventional AEB on snowy roads with reduced friction. Ninety-six drivers (48 males, 48 females) assigned to 5 age groups (20–29, 30–39, 40–49, 50–59, and 60–75 years) drove with AEB in the simulator. The drivers observed and evaluated the AEB's braking actions in response to an imminent rear-end collision at an intersection.

Results: The results show that drivers' safety and trust in the conventional AEB were significantly lower on snowy roads, and the nonadaptive autonomous braking strategy was considered less appropriate on snowy roads compared to dry roads. As expected, the adaptive AEB braking strategy was considered more appropriate for snowy roads than the nonadaptive strategy. In conditions of reduced friction, drivers' subjective safety and trust were significantly improved when driving with the adaptive AEB compared to the conventional AEB. Women felt less safe than men when AEB was braking. Differences between age groups were not of statistical significance.

Conclusions: Drivers notice the adaptation of the autonomous braking strategy on snowy roads with reduced friction. On snowy roads, they feel safer and trust the adaptive system more than the nonadaptive automation.     

Oil dependency,political institutions,and urban–rural disparities in access to electricity in Africa

In line with the resource curse literature, this paper examines the effect of oil dependency on the disparities in access to electricity between urban and rural areas in Africa, conditional on the quality of political institutions. Based on data from 36 African countries over the period 2000–2017, our investigation suggests that oil rents (% of GDP) increase urban–rural disparities in access to electricity. However, the quality of institutions shapes the effect of oil dependency on these disparities. Specifically, a 10% increase in the institutional quality score reduces the adverse effects of oil rent on electricity access disparity by around 19%, and the negative impact of oil dependency on urban–rural disparities is reversed when institutional quality reaches a score of 52% on a scale from 0 to 100. The robustness tests support these results and call for strengthening the quality of institutions to overcome the resource curse in Africa.