パキスタン国力ラコルム・ヒマラヤ山脈インダス川上流城における河川流量と流出時期に及ぼす気候変動の影響

京都大学新制・課程博士博士(工学)甲第23429号工博第4884号新制||工||1763(附属図書館)京都大学大学院工学研究科社会基盤工学専攻(主査)教授 田中 茂信, 准教授 田中 賢治, 准教授 佐山 敬洋学位規則第4条第1項該当Doctor of Philosophy (Engineering)Kyoto UniversityDFA

Analysing the Impact of Macroeconomics Variables on Poverty in Pakistan: A Fresh Insight using ARDL to Cointegration Analysis

The aim for this examines is to describe the effect of macro-economic aspects affecting reduction in poverty. This analyses approximately the concept that how can get rid of poverty by working on macroeconomic variables. The Data is taken from WDI for the duration of 1998 to 2022 of Pakistan. An econometric model ARDL is used to analyse short- and long-term results. Research has proven that poverty may be reduced with the aid of the selected macroeconomic variables. Furthermore, in line with the study's findings, the Education has great impact on economic by reducing poverty. Economy stability growth plays a vital role in eliminating poverty. Inflation presents insignificant impact in short & long duration as it increases poverty so inflation must be in control. This research reveals that all the determinants of the model are statistically great. Gross capital formation is negatively related to poverty and helps in lowering it while the opposite three determinants are positively associated. This study has a novel contribution to literature in the domain Economy growth and poverty knowledge. It is unique in a way to integrate the knowledge in academics and awareness about poverty elimination in Pakistan among students & scholar. Moreover, the observation recommends that the government overview its guidelines & possibility by lessen poverty using education, to control inflation and enhance GDP to boost economic growth

Effect of Partial Replacement of Cement with Rice Husk Ash on Concrete Properties

This research work is related to the study of effects on properties of concrete having rice husk ash as cementitious supplementary materials. Total four mixes of concrete were done with varying percentages of rice husk as 6%, 12% and 18%. The tensile, flexural and compressive strengths that contain rice husk ash were determined by testing cubes, cylinders and beams. There was a replacement of 6%, 12% and 18% of rice husk ash in all mixes except the control mix. The concrete's flexural strength with rice husk ash increases at the beginning and at the later age (i.e., 28 days) similar to control mix; however, variation in compressive and splitting tensile strength is negligible. The optimum results are achieved with 6% replacement of cement with rice husk ash. Therefore, it was inferred that rice husk ash could be used as partial replacement of cement in concrete to produce economic concrete

Automatic Grading of Palsy Using Asymmetrical Facial Features: A Study Complemented by New Solutions

Facial palsy caused by nerve damage results in loss of facial symmetry and expression. A reliable palsy grading system for large-scale applications is still missing in the literature. Although numerous approaches have been reported on facial palsy quantification and grading, most employ hand-crafted features on relatively smaller datasets which limit the classification accuracy due to non-optimal face representation. In contrast, convolutional neural networks (CNNs) automatically learn the discriminative features facilitating the accurate classification of underlying tasks. In this paper, we propose to apply a typical deep network on a large dataset to extract palsy-specific features from face images. To prevent the inherent limitation of overfitting frequently occurring in CNNs, a generative adversial network (GAN) is applied to augment the training dataset. The deeply learned features are then used to classify the palsy disease into five benchmarked grades. The experimental results show that the proposed approach offers superior palsy grading performance compared to some existing methods. Such an approach is useful for palsy grading at large scale, such as primary health care