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The Establishment of Ramadan Principality
Published 2013-12-01“…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
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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
Published 2023-01-01“… 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
Published 2023-01-01“… 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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Analysis of the principal's position in the implementation of quality management in education
Published 2024-05-01“…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 analysis of the notions of Russian school principals about digital transformation
Published 2021-12-01“…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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Principal-shared instructional leadership in differentiated instruction classrooms: its effect on pedagogical practices
Published 2024-08-01“…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
Published 2022-01-01“…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
Published 2025-01-01“…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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The relationship between principals’ pedagogical leadership practices and teachers’ job performance: the role of sociodemographic characteristics
Published 2025-01-01“…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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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks
Published 2025-01-01“…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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Trend Analysis and Comprehensive Evaluation of Green Production Principal Component of Thermal Power Unit Based on ANP-MEEM Model
Published 2019-01-01“…This paper takes the green development of electric power as the research direction, the thermal power unit is the green source control point of electricity, and the green production of the thermal power unit is the research target; based on the actual research data and the actual data, the comprehensive evaluation of the green production of a thermal power generating unit in a city is carried out by means of ANP, matter-element extension model, and principal component analysis. This paper not only reflects the quantification of green benefits in each year, but also achieves the comparison of green achievements and the analysis of increasing losses in the data years. …”
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Integrating principal component analysis, fuzzy inference systems, and advanced neural networks for enhanced estuarine water quality assessment
Published 2025-02-01“…New hydrological insights for the region: The hybrid LSTM-CNN model demonstrated superior predictive performance, achieving RMSE values lower than 10 % and R² values exceeding 0.90 across various predictive tasks, indicating high accuracy in forecasting water quality parameters. …”
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Nuclear Magnetic Resonance Fingerprinting and Principal Component Analysis Strategies Lead to Anti-Tuberculosis Natural Product Discovery from Actinomycetes
Published 2025-01-01“…Additionally, elaiophylin and polycyclic tetramate macrolactams (PTMs) displayed significant bactericidal effects, with elaiophylin achieving complete BCG inhibition at 72 h and PTMs marking their first reported anti-TB activity. …”
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Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT
Published 2025-01-01“…The proposed method can be tuned through threshold and quantization percentages and the number of principal components to achieve compression rates of up to 31:1 with reconstruction residues energy of less than <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>4</mn><mo>%</mo></mrow></semantics></math></inline-formula> in the frequency ranges of 0–20 Hz, 15–65 Hz, and 60–105 Hz.…”
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Antecedents and consequences of professional competence of school administrators with emphasis on environmental sustainability and sustainable development
Published 2024-09-01“…In order to validate the professional competence of school principals as an effective and key driver of sustainable development, the proposed conceptual model was investigated through structural equation modelling, and the partial least squares method was used to estimate the model. …”
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data
Published 2023-03-01“…We applied many classifiers like (Support vector machines, k-nearest neighbors, Decision tree, and Naive Bayes ) to the data of the anthropometric survey of US Army personnel (ANSUR 2) to classify the data and test the relevance of features by predicting a specific feature in USA Army personnel results showing that (k-nearest neighbors) achieved high accuracy (83%) in prediction, then reducing the dimensions by several techniques like (Highly Correlated Filter, Recursive Feature Elimination, and principal components Analysis) results showing that (Recursive Feature Elimination) have the best accuracy by (66%), From these results, it is clear that the efficiency of dimension reduction techniques varies according to the nature of the data. …”
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Public Administration Digitalization and Government Effectiveness in EU Countries
Published 2023-05-01“…A K-means clustering with four clusters reveals that the most significant and noteworthy increase in digitalization and government effectiveness in the EU is achieved by the Nordic countries, which exhibit high levels of digitalization and government efficiency. …”
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BASELINE PLASMA CHOLINESTERASE ACTIVITIES IN ARGENTINE SADDLE HORSES FROM SABANA DE BOGOTÁ
Published 2012-01-01Get full text
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