The Establishment of Ramadan Principality by Fatma Akkuş Yiğit

“…Ramadan Principality is a Turkish state which was established in Cukurova, having Adana as center, in 14th century. …”
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Principal approaches and achievements in studying race composition of wheat stem rust by A. S. Rsaliyev, Sh. S. Rsaliyev

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The leadership and supervisory practices of principals in public secondary schools of the State of Amhara, Ethiopia, as perceived by teachers by Melaku Mengistu Gebremeskel, Demeke Wolie Ambaye

“… This study aimed at examining the leadership and supervisory practices of secondary school principals in the State of Amhara in view of teachers. …”
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The leadership and supervisory practices of principals in public secondary schools of the State of Amhara, Ethiopia, as perceived by teachers by Melaku Mengistu Gebremeskel, Demeke Wolie Ambaye

“… This study aimed at examining the leadership and supervisory practices of secondary school principals in the State of Amhara in view of teachers. …”
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The Principality of Serbia's policy towards the Albanians in the 1860s: An analysis of political dynamics during a decade of change by Leovac Danko Lj., Ilić Žarko D.

“…Garašanin's vision emphasized cooperation with neighboring Balkan nations, recognizing that Serbia could not achieve its goals against Ottoman rule on its own. …”
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Analysis of the principal's position in the implementation of quality management in education by Maju Siregar

“…The role of transformational principal leadership in developing educational quality principals can motivate teachers, students, and other stakeholders to work together to achieve quality improvement if they are able to articulate a strong vision, foster innovation in learning, and create an inclusive and collaborative school culture. …”
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The Principal Leadership in Developing Inclusive Education for Diverse Students by Shinta Setia, Pwee Leng, Yurillah Endah Mauliate, Dian Ekowati, Dwi Ratmawati

“…Data were collected from the principal, 2 counseling teachers, 2 special education teachers, and head of educational in the district. …”
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Bankline extraction in remote sensing images using principal curves by Yun GUO, Yi-huai WANG, Chun-ping LIU, Sheng-rong GONG, Yi JI

“…Firstly, the principal curve of the river centerline was learned. …”
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The analysis of the notions of Russian school principals about digital transformation by A. A. Deryabin, I. E. Boytsov, A. A. Popov, P. D. Rabinovich, K. E. Zavedensky, I. S. Tsarkov

“…It is concluded that the respondents’ replies reflect the institutional position of school principals in the current educational system: a head of a government-funded school positions herself/himself as an administrative executor and a representative of the founder, rather than a leader of the teaching team. …”
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Exploring Assistant Principals' Views on Parental Involvement in Bahraini Primary Education by Osama Al-Mahdi

“…Through a qualitative approach and interpretive case-study design, this study aims to achieve better understanding of school assistant principals' experiences and their role in facilitating parental involvement in children's schooling through exploring potential benefits, challenges, and issues concerning home–school relations. …”
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Landslide model tests with a miniature 2D principal stress sensor by Kun Fang, Yulei Fu, Huiming Tang, Tangzhe Gao, Pengju An, Qiong Wu

“…The results demonstrate that the sensor exhibits commendable performance and achieves a desirable level of accuracy, with a principal stress angle error of ±5° in the verification tests. …”
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Transformative Leadership of School Principals in Improving the Quality of Education from an Islamic Perspective by Muhammad Ridho Fatkhul Humam, Mulya Putra, Mahbub Humaidi Aziz, Bima Fandi Asy’arie

“…Then, the principal also increases learning innovation and includes space for participation in decision-making. …”
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Principal-shared instructional leadership in differentiated instruction classrooms: its effect on pedagogical practices by Pipit Pudji Astutik, Punaji Setyosari, Anang Santoso, Syamsul Hadi, Shirly Rizki Kusumaningrum

“…As an implication, accomplishing the quality of pedagogical practices will be able to achieve students’ learning performances.…”
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Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis by Hongdi Zhou, Lin Zhu, Xixing Li

“…The experimental results demonstrated that the feasibility and effectiveness of the proposed fault diagnosis model based on a sparse principal subspace discriminant analysis algorithm can achieve higher recognition accuracy than fisher discriminant analysis and its extensions, and it is relatively insensitive to the impact of noise and outliers owing to the sparse property.…”
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Critical raw material-free multi-principal alloy design for a net-zero future by Swati Singh, Mingwen Bai, Allan Matthews, Saurav Goel, Shrikrishna N. Joshi

“…In this pioneering work, we unveil an inventive approach to inversely predict novel multicomponent alloy compositions, meticulously crafted to eliminate CRMs while achieving hardness levels comparable to those of CRM-containing multi-principal element alloys (MPEAs). …”
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Research on Rehabilitation Training Based on Principal Component Analysis of Three Dimensional Motion Data of Taijiquan by Xiang LI, Jian WANG, Tianjiao LI, Xiangbin WANG

“…Objective:In order to improve the effectiveness of rehabilitation training, using the principal component analysis method to study movement characteristics of TAI CHI action.Methods:The subjects played Taijiquan "YUNSHOU" action of YANG style, meanwhile, the three dimensional motion capture system (Motion Analysis) were used for data acquisition, collected motion data of elbow, shoulder, head and body cadres, and then analyzed the data by principal component analysis method.Results:The obtained data were statistically analyzed, which showed that the selected joints motion data were correlated (<italic>P</italic>&lt;0.01), head rotation angle and torso rotation angle existed significant correlation (correlation coefficient is 0.993, <italic>P</italic>&lt;0.01), head rotation angle and shoulder flexion angle were correlated (<italic>P</italic>&lt;0.01), shoulder flexion angle and elbow flexion angle were correlated (<italic>P</italic>&lt;0.01); principal component analysis results showed that when the trunk rotation angle was taken as variables, elbow flexion angle, shoulder flexion angle, head rotation angle were considered as independent variables, all the joints were involved in completing the hand movements (<italic>P</italic>&lt;0.01).Conclusion:Taijiquan "YUNSHOU" movements can be divided into two main components, the main motion components can be decomposed in the rehabilitation training were conducted, and then whole motion integration training were conducted, it will speed up motor learning process during rehabilitation period, improve coordination of action, thus achieving the purpose of fast and efficient recovery.…”
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The relationship between principals’ pedagogical leadership practices and teachers’ job performance: the role of sociodemographic characteristics by Kelemu Zelalem Berhanu

“…Abstract Background Concerns about leadership style and job achievement are global priorities. Most previous investigations have concentrated on one or two of the variables rather than on the sociodemographic characteristics. …”
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PRINCIPAL COMPONENT ANALYSIS OFGENERATIONAL PREFERENCES REGARDING OVER-THE-TOP SERVICES – A HUNGARIAN CASE STUDY by Tamás Vinkóczi, Lili Anna Majczán, Petra Miklós, Judit Petra Koltai

“…A Likert-scale questionnaire survey was considered the most appropriate method to achieve this objective. In order to test the hypothesis on the relationship between generations and video streaming usage a principal component analyses by generation was applied. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…In the scenario with 10% missing data, NIPALS-PCA achieved the lowest MAPE (15.4%), followed by EM-PCA (17.0%), while IM recorded a MAPE of 24.7%. …”
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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

“…This paper proposes a novel approach for robust anomaly detection by integrating tensor robust principal component analysis (TRPCA) with autoencoding adversarial networks (AEAN). …”
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