Background: Undergoing ultrasound scanning (USS) during the first trimester of pregnancy is highly imperative for expecting mothers, as it supports the early detection of any malformations, identifying the fetal numbe...Background: Undergoing ultrasound scanning (USS) during the first trimester of pregnancy is highly imperative for expecting mothers, as it supports the early detection of any malformations, identifying the fetal number, fetal growth, fetal sex, and calculation of delivery. Previous studies have shown that undergoing such prenatal screening procedures could reduce the antenatal anxiety levels of expectant mothers. The present study aimed to explore the impact of first-trimester ultrasound scanning towards the antenatal anxiety and identify the predictors of antenatal anxiety among expectant mothers in the first trimester. Methods: A repeated measure design study was conducted in Maternity Clinics of University Hospital KDU, Ninewells Care Hospital and Navy General Hospital over 4 months with one hundred and fifteen (n = 115) expectant mothers. Participants completed a general information sheet first and State Trait Anxiety Inventory (STAI) (Spielberger et al., 1970) was administered before and after undergoing the USS. Results: Mean age of the participants was 28.84 ± 3.68. The Wilcoxon Signed Rank test showed that there is a significant reduction of participants’ antenatal anxiety levels following the USS z = −5.658, p Conclusions: Findings suggest that undergoing the first trimester USS significantly reduces the antenatal state anxiety and partner’s support is an important factor in reducing the antenatal anxiety experienced by expectant mothers in the first trimester. Future studies can focus on how USS can contribute to alleviating antenatal anxiety in second and third trimesters.展开更多
We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other ...We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other countries will require the rapid construction of communities capable of supporting them, their families, businesses and farms. However, different political-economic conditions are found across the areas which can serve as locations for these Climate Change Haven Communities. We develop funding and construction strategies for the United States (free-market capitalism), France and Spain (European Union supported economies), and Taiwan region (state-directed economy). The proposals for the Taiwan region should also be applicable to the rest of China.展开更多
This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions...This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions between “change” and “stasis”. Using a corpus-based approach, the analysis covers the semantic and syntactic features of “V + Dào” constructions and their event integration patterns. The findings highlight the distribution of agency, animacy, and support relations in state change events, emphasizing the complex interaction of internal and external event integrations and their correlation with the conceptual primitives of change and transition. This study offers insights into the lexicalization and grammaticalization processes of the “V + Dào” construction, and potentially the broader verb-complement constructions in Mandarin.展开更多
This study examined gender differences in modal choice among residents of coastal communities of Yenagoa metropolis in Bayelsa State, Nigeria. The Four-Step model of transportation planning and modal choice provided t...This study examined gender differences in modal choice among residents of coastal communities of Yenagoa metropolis in Bayelsa State, Nigeria. The Four-Step model of transportation planning and modal choice provided the theoretical basis for this study. A survey research design involving a stratified sampling technique was adopted. The descriptives on transport modes, amount and time spent revealed that 10 (76.9%) males and 3 (23.1%) females preferred bicycle as means of transportation, 7 (58.3%) males and 5 (41.7%) females preferred motorcycle, while a significant proportion 90 (53.9%) males and 77 (46.1%) females preferred tricycle, 80 (63.0%) males and 47 (37.0%) females preferred cars/taxis, and 12 (46.2%) males and 14 (53.8%) females preferred mass transit bus. However, 14 (46.7%) males and 16 (53.3%) females in marshy terrain and coastal locations preferred canoes and boats. The result of the logistic regression model revealed that gender modal preference is more likely to be influenced by mode of transportation with a beta weight of 1.140, safety considerations 1.139, ownership of transport 1.135 and distance to place of work 1.073. Hence, this study recommends that a combination of these factors should be incorporated into transport planning to achieve effective transport planning and sustainable development in the Yenagoa metropolis.展开更多
随着新能源机车向高效率、智能化方向发展,精准监测动力电池的充放电状态(state of charge,SOC)和健康状态(state of health,SOH)对于保障机车运行安全尤为关键。针对传统独立估计方法在复杂工况下适应性差、难以捕捉时变耦合特性的问题...随着新能源机车向高效率、智能化方向发展,精准监测动力电池的充放电状态(state of charge,SOC)和健康状态(state of health,SOH)对于保障机车运行安全尤为关键。针对传统独立估计方法在复杂工况下适应性差、难以捕捉时变耦合特性的问题,提出一种基于自适应加权多通道长短期记忆网络(long short-term memory,LSTM)与Transformer融合的联合网络架构(MLTA-Net)。该方法构建了涵盖多层次特征的电池健康因子集合,引入等压升时间、最大容量增量电压等关键动态特征,从电化学机理层面强化了老化趋势的表征能力。MLTA-Net模型采用多通道并行架构,分离处理不同类型的电池数据特征,通过LSTM编码器捕获短期时序依赖关系,利用Transformer多头自注意力机制解析全局工况特征,并通过自适应加权融合层进行特征融合,实现电池状态高精度优化估计。实验方法基于磷酸铁锂电池循环老化数据集,在不同老化阶段下对SOH进行估计。研究结果表明,所提方法对电池最大容量衰减均方根误差稳定在0.06%以内,在预测误差、稳定性方面均优于传统方法。在脉冲工况和深度充放电条件下对电池SOC-SOH进行联合估计,预测精度相比单独估计有显著提升,尤其在SOC发生突变的关键时刻误差降低了84.2%,在电池老化阶段展现出更强的鲁棒性和泛化能力。本研究为复杂工况下的SOC-SOH联合估计提供了高效、精准的解决方案,为智能电池管理系统的优化提供了理论参考和技术支持。展开更多
文摘Background: Undergoing ultrasound scanning (USS) during the first trimester of pregnancy is highly imperative for expecting mothers, as it supports the early detection of any malformations, identifying the fetal number, fetal growth, fetal sex, and calculation of delivery. Previous studies have shown that undergoing such prenatal screening procedures could reduce the antenatal anxiety levels of expectant mothers. The present study aimed to explore the impact of first-trimester ultrasound scanning towards the antenatal anxiety and identify the predictors of antenatal anxiety among expectant mothers in the first trimester. Methods: A repeated measure design study was conducted in Maternity Clinics of University Hospital KDU, Ninewells Care Hospital and Navy General Hospital over 4 months with one hundred and fifteen (n = 115) expectant mothers. Participants completed a general information sheet first and State Trait Anxiety Inventory (STAI) (Spielberger et al., 1970) was administered before and after undergoing the USS. Results: Mean age of the participants was 28.84 ± 3.68. The Wilcoxon Signed Rank test showed that there is a significant reduction of participants’ antenatal anxiety levels following the USS z = −5.658, p Conclusions: Findings suggest that undergoing the first trimester USS significantly reduces the antenatal state anxiety and partner’s support is an important factor in reducing the antenatal anxiety experienced by expectant mothers in the first trimester. Future studies can focus on how USS can contribute to alleviating antenatal anxiety in second and third trimesters.
文摘We examine possible funding sources for constructing Climate Change Haven Communities on a global basis. Areas of the planet that have the potential to house persons migrating to “safe havens” in their own or other countries will require the rapid construction of communities capable of supporting them, their families, businesses and farms. However, different political-economic conditions are found across the areas which can serve as locations for these Climate Change Haven Communities. We develop funding and construction strategies for the United States (free-market capitalism), France and Spain (European Union supported economies), and Taiwan region (state-directed economy). The proposals for the Taiwan region should also be applicable to the rest of China.
文摘This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions between “change” and “stasis”. Using a corpus-based approach, the analysis covers the semantic and syntactic features of “V + Dào” constructions and their event integration patterns. The findings highlight the distribution of agency, animacy, and support relations in state change events, emphasizing the complex interaction of internal and external event integrations and their correlation with the conceptual primitives of change and transition. This study offers insights into the lexicalization and grammaticalization processes of the “V + Dào” construction, and potentially the broader verb-complement constructions in Mandarin.
文摘This study examined gender differences in modal choice among residents of coastal communities of Yenagoa metropolis in Bayelsa State, Nigeria. The Four-Step model of transportation planning and modal choice provided the theoretical basis for this study. A survey research design involving a stratified sampling technique was adopted. The descriptives on transport modes, amount and time spent revealed that 10 (76.9%) males and 3 (23.1%) females preferred bicycle as means of transportation, 7 (58.3%) males and 5 (41.7%) females preferred motorcycle, while a significant proportion 90 (53.9%) males and 77 (46.1%) females preferred tricycle, 80 (63.0%) males and 47 (37.0%) females preferred cars/taxis, and 12 (46.2%) males and 14 (53.8%) females preferred mass transit bus. However, 14 (46.7%) males and 16 (53.3%) females in marshy terrain and coastal locations preferred canoes and boats. The result of the logistic regression model revealed that gender modal preference is more likely to be influenced by mode of transportation with a beta weight of 1.140, safety considerations 1.139, ownership of transport 1.135 and distance to place of work 1.073. Hence, this study recommends that a combination of these factors should be incorporated into transport planning to achieve effective transport planning and sustainable development in the Yenagoa metropolis.
文摘随着新能源机车向高效率、智能化方向发展,精准监测动力电池的充放电状态(state of charge,SOC)和健康状态(state of health,SOH)对于保障机车运行安全尤为关键。针对传统独立估计方法在复杂工况下适应性差、难以捕捉时变耦合特性的问题,提出一种基于自适应加权多通道长短期记忆网络(long short-term memory,LSTM)与Transformer融合的联合网络架构(MLTA-Net)。该方法构建了涵盖多层次特征的电池健康因子集合,引入等压升时间、最大容量增量电压等关键动态特征,从电化学机理层面强化了老化趋势的表征能力。MLTA-Net模型采用多通道并行架构,分离处理不同类型的电池数据特征,通过LSTM编码器捕获短期时序依赖关系,利用Transformer多头自注意力机制解析全局工况特征,并通过自适应加权融合层进行特征融合,实现电池状态高精度优化估计。实验方法基于磷酸铁锂电池循环老化数据集,在不同老化阶段下对SOH进行估计。研究结果表明,所提方法对电池最大容量衰减均方根误差稳定在0.06%以内,在预测误差、稳定性方面均优于传统方法。在脉冲工况和深度充放电条件下对电池SOC-SOH进行联合估计,预测精度相比单独估计有显著提升,尤其在SOC发生突变的关键时刻误差降低了84.2%,在电池老化阶段展现出更强的鲁棒性和泛化能力。本研究为复杂工况下的SOC-SOH联合估计提供了高效、精准的解决方案,为智能电池管理系统的优化提供了理论参考和技术支持。
