1,793 research outputs found
Muhammad Amin Khan Madrasa
No full text"To the south of the citadel is a square on which military reviews and executions took place: it is bordered by two madrasas, that of Muhammad Amin Khan (1851–5), the largest (72˙60 m) in Khiva, with cells arranged on two floors around a central court, and that of Muhammad Rahim Khan (1871). The 70 m minaret planned for the madrasa of Muhammad Amin Khan, the tallest in Central Asia, was left unfinished."exterior, decorative tile on courtyard facade, 199
Muhammad Amin Khan Madrasa
No full text"To the south of the citadel is a square on which military reviews and executions took place: it is bordered by two madrasas, that of Muhammad Amin Khan (1851–5), the largest (72˙60 m) in Khiva, with cells arranged on two floors around a central court, and that of Muhammad Rahim Khan (1871). The 70 m minaret planned for the madrasa of Muhammad Amin Khan, the tallest in Central Asia, was left unfinished."exterior, with statue of Al-Khwarizmi (founder of algebra) in front, 200
Khiva, Kalta Minar
No full textkreisförmiger Bau neben der Muhammad Amin-Khan-Madrasa, mit Glasurziegeldekor (Grundfarbe hellblau-türkis) in breiteren und schmaleren StreifenKalta Minar: "Kurzes Minarett", der Bau des ambitiösen Minaretts, das das höchste von Khiva werden sollte, mußte abgebrochen werdenPhotograph Collection of the Department of Art History (http://difab.univie.ac.at/
Gender Diversity, Innovation, and Economic Growth: A Multi-Country Analysis: Zafir Ullah Khan, Muhammad Zubair Khan, Amin Ullah Khan
No full textStudies show that gender diversity promotes creativity and innovative ideas. This paper highlights the link through which gender diversity affects the generation of innovative ideas. The paper modified the Jones (1995) R & D model by assuming that a team consisting of females would be able to generate more ideas and explicitly included gender diversity in the innovation function along with other factors. The paper used a robust check to identify the relevant estimation econometrics method and the results indicated that the Dynamic System Generalized Method of Moment (GMM) is suitable for estimating the impact of gender diversity on economic growth. To lend support to theoretical linkages, the paper employed the dynamic system Panel GMM to examine how gender diversity at the workforce impacts growth via its impact on the generation of innovative ideas using a sample of fifty-four countries for the period 1984-2017. The correlation analysis shows that gender diversity positively affects the economic growth performance of the panel countries. After considering the effect of gender diversity, the coefficient of patents granted improved, which confirms the hypothesis that gender diversity contributes to the growth process through its impact on the generation of innovative ideas. The results show that internet use, mobile usage, and trade liberalization work as channels of diffusion of innovation. The paper also finds gender diversity to be a proxy of informal institutions. Our findings suggest that gender diversity has a significantly positive impact on economic growth through the generation of novel ideas by a gender-diverse team at the workplace. The results have policy implications for policymakers and business managers
Kontribusi K.H. Muhammad Amin Azhari dalam Menyebarkan Agama Islam melalui Pendidikan di Madrasah Ibtidaiyah Najahiyah Palembang
No full textThis research was motivated by the author\u27s desire to know the contribution of K.H. Muhammad Amin Azhari in spreading Islam through education at Madrasah Ibtidaiyah Najahiyah. This research method is a qualitative research method. The type of research is descriptive qualitative with a historical approach. The data collection process is observation, interviews, documentation and literature study. The data analysis technique is using data reduction, data presentation, and conclusions (1) The history of the founding of the Najahiyah Ibtidaiyah Madrasah is that this madrasah was a madrasah endowed by the Palembang cleric, namely K.H. Muhammad Amin Azhari to spread Islam through education (2) Contribution of K.H. Muhammad Amin Azhari in spreading Islam through education, namely after he donated his land to build the Najahiyah madrasah, after the establishment of this madrasah, he participated in teaching religious sciences, such as Tauhid and Fiqh (3) The existence of the Najahiyah Madrasah had a positive impact on the people of Palembang, especially in the upper 3-4 regions in the socio-religious, socio-cultural and socio-economic fields, it is still around.Penelitian ini dilatarbelakangi oleh keinginan penulis untuk mengetahui Kontribusi K.H. Muhammad Amin Azhari dalam menyebarkan agama Islam melalui Pendidikan di Madrasah Ibtidaiyah Najahiyah. Metode penelitian ini adalah metode penelitian kualitatif. Jenis penelitiannya adalah deskritif kualitatif dengan pendekatan historis. Proses pengumpulan data ini adalah observasi, wawancara, dokumentasi, dan studi kepustakaan. Teknik analisis data yaitu menggunakan reduksi data, sajian data, dan kesimpulan (1) Sejarah berdirinya Madrasah Ibtidaiyah Najahiyah adalah madrasah ini merupakan madrasah yang diwakafkan oleh ulama Palembang yaitu K.H. Muhammad Amin Azhari untuk menyebarkan agama Islam melalui bidang pendidikan (2) Kontribusi K.H. Muhammad Amin Azhari dalam menyebarkan Islam melalui bidang pendidikan, yaitu setelah beliau mewakafkan tanahnya untuk membangun madrasah Najahiyah, setelah berdirinya madrasah ini, maka beliau ikutserta mengajarkan ilmu-ilmu agama, seperti Tauhid dan Fikih (3) Keberadaan Madrasah Najahiyah berdampak positif bagi masyarakat Palembang, khususnya wilayah 3-4 ulu dalam bidang sosial agama, sosial budaya dan sosial ekonomi masih sekitar
sj-xlsx-2-npx-10.1177_1934578X221120215 - Supplemental material for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of <i>Qi Wei Wan</i> Formula for Treating Non-Small Cell Lung Carcinoma
No full textSupplemental material, sj-xlsx-2-npx-10.1177_1934578X221120215 for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of Qi Wei Wan Formula for Treating Non-Small Cell Lung Carcinoma by Minghe Zhang, Ye Wang, Aftab Amin, Muhammad Ajmal Khan, Zhiling Yu and Chun Liang in Natural Product Communications</p
sj-xlsx-3-npx-10.1177_1934578X221120215 - Supplemental material for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of <i>Qi Wei Wan</i> Formula for Treating Non-Small Cell Lung Carcinoma
No full textSupplemental material, sj-xlsx-3-npx-10.1177_1934578X221120215 for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of Qi Wei Wan Formula for Treating Non-Small Cell Lung Carcinoma by Minghe Zhang, Ye Wang, Aftab Amin, Muhammad Ajmal Khan, Zhiling Yu and Chun Liang in Natural Product Communications</p
sj-xlsx-1-npx-10.1177_1934578X221120215 - Supplemental material for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of <i>Qi Wei Wan</i> Formula for Treating Non-Small Cell Lung Carcinoma
No full textSupplemental material, sj-xlsx-1-npx-10.1177_1934578X221120215 for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of Qi Wei Wan Formula for Treating Non-Small Cell Lung Carcinoma by Minghe Zhang, Ye Wang, Aftab Amin, Muhammad Ajmal Khan, Zhiling Yu and Chun Liang in Natural Product Communications</p
sj-docx-4-npx-10.1177_1934578X221120215 - Supplemental material for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of <i>Qi Wei Wan</i> Formula for Treating Non-Small Cell Lung Carcinoma
No full textSupplemental material, sj-docx-4-npx-10.1177_1934578X221120215 for Network Pharmacology Analysis of Bioactive Components and Mechanisms of Action of Qi Wei Wan Formula for Treating Non-Small Cell Lung Carcinoma by Minghe Zhang, Ye Wang, Aftab Amin, Muhammad Ajmal Khan, Zhiling Yu and Chun Liang in Natural Product Communications</p
Efficient Short-Term Electricity Load Forecasting for Effective Energy Management
No full textShort-term electrical energy load forecasting is one of the most significant problems associated with energy management for smart grids, which aims to optimize the operational strategies of buildings. Electricity forecasting models are considered a key aspect of the provision of better electricity management and reductions in energy consumption. This motivates the researchers to develop efficient electricity load forecasting (ELF) models, based on historical nonlinear and high volatile data, which require appropriate forecasting strategies. Therefore, in this article, we present an innovative two-phase framework for short-term ELF. The first phase is dedicated to data cleansing, in which pre-processing strategies are applied to raw data. In the second phase, a deep residual Convolutional Neural Network (CNN) is designed to extract the important features from the refined data. To the best of our knowledge, this is the first work to introduce a deep CNN architecture for the extraction of spatial features from electricity data. The output of the residual CNN network is forwarded to a stacked Long Short-Term Memory (LSTM) network to learn the temporal information of the electricity data. The proposed model is then evaluated using the Individual-Household-Electric-Power-Consumption (IHEPC) and Pennsylvania–New Jersey–Maryland (PJM) datasets. The results reveal a significant reduction in the error rate over the IHEPC dataset in terms of Mean-Absolute-Error (MAE) (15.65%), Mean-Square-Error (MSE) (8.77%), and Root-Mean-Square-Error (RMSE) (14.85%) and over the PJM dataset our method reduced RMSE up to 3.4% as compared to baseline models i.e., linear regression, LSTM, and Gated Recurrent Unit (GRU). Furthermore, we performed several experiments with CNN, LSTM, and GRU models and evaluated it with additional Coefficient of Variation of the RMSE (CV-RMSE) metrics, which proves the effectiveness of our model for short-term load forecasting
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