Dziecięce konstrukcje świata w rozmowach z dorosłymi by Agnieszka Nowak-Łojewska

“…The text was produced as a result of series of meetings with schoolchildren of 1–3 classes and the struggle to find answers to their questions of social, existential, ethical and moral nature. …”
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Comparative study of long short-term memory (LSTM), bidirectional LSTM, and traditional machine learning approaches for energy consumption prediction by Hamed Alizadegan, Behzad Rashidi Malki, Arian Radmehr, Hossein Karimi, Mohsen Asghari Ilani

“…This study focuses on leveraging time series analysis to improve forecasting accuracy, crucial for various application domains where real-world time series data often exhibit complex, non-linear patterns. …”
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Urban Traffic Flow Forecasting Based on Graph Structure Learning by Guangyu Huo, Yong Zhang, Yimei Lv, Hao Ren, Baocai Yin

“…., the spatial relationships between roads), which hinders their effectiveness and application in the real world. We propose a novel framework for urban traffic flow forecasting, which simultaneously infers and utilizes the relationship between time series. …”
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LONG-TERM FORECASTING OF THE SPA AND WELLNESS SUBSECTOR OF THE BULGARIAN TOURISM INDUSTRY by PRESLAV DIMITROV

“…In the past twelve years Bulgaria has managed to capitalize on the good results achieved in certain subsectors of its tourism industry, such as the spa and wellness industry. …”
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Volatility Similarity and Spillover Effects in G20 Stock Market Comovements: An ICA-Based ARMA-APARCH-M Approach by Shanglei Chai, Zhen Zhang, Mo Du, Lei Jiang

“…Financial internationalization leads to similar fluctuations and spillover effects in financial markets around the world, resulting in cross-border financial risks. …”
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Midline Cervical Cleft: Review of an Uncommon Entity by Liana Puscas

“…This is one of the largest series of new patients with midline cervical cleft presented in the world literature. …”
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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

“…The findings reveal that deep learning models, particularly PatchTSMixer, outperform traditional machine learning methods in terms of prediction accuracy, demonstrating their superior capability in capturing complex temporal dependencies in electricity consumption data. These results highlight the potential of deep learning models for enhancing predictive accuracy in time-series forecasting, providing valuable insights for future research and practical applications in energy management.…”
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A population-based study on the burden of hospitalized pediatric pneumococcal disease in Taiwan before and after the introduction of 13-valent pneumococcal conjugate vaccine into t... by Ting-An Yen, Jhong-Lin Wu, Chi-Chuan Wang, Ling-Ya Huang, See-Hwee Yeo, Dony Patel, Cindy Thiow Koon Lim, Hung-Wei Lin, Eriko Yamada, Isaya Sukarom

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Diffusion Partition Consensus: Diffusion-Aided Time-of-Flight Estimates, Anomaly Detection, and Localization for Ultrasonic Nondestructive Evaluation Data by Nick Torenvliet, John S. Zelek

“…Testing and evaluation are performed on a series of progressively information rich synthetic datasets, and on real-world ultrasonic NDE datasets taken from a Canada Deuterium Uranium nuclear reactor pressure tube and calibration fixture. …”
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Anthropometric Evaluation of pupils from APAE Araras-SP having Down Syndrome by Carolina Barbosa Ribeiro, Mércia Tancredo Toledo

“…The results obtained in this study showed that the lecture series intensified weight loss and reduction in the body mass index of students.…”
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MYSTICAL ASPECT OF EDITH STEIN'S ANTHROPOLOGY: FROM PHENOMENOLOGY TO THOMISM by J. A. Shabanova

“…Stein reproaches transcendentalism in loss of the world and she ignores the changes in Husserl's world outlook, his transcendental turn and genealogy of the trustworthy acquaintance with the world. …”
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Zmiany w prawie europejskim implikujące zmiany w sposobie wytwarzania, składzie chemicznym i dystrybucji paliw by Arkadiusz Kamiński

“…The results of the assessment of the implementation of the mentioned regulations in Poland are presented as well.…”
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Evolution of Political Risk Concept: Classical and Contemporary Interpretations by D. A. Nechkin

“…It was preconditioned by an increasing uncertainty in many segments of world politics after a series of powerful ‘strategic shocks’ (‘Arab Awakening’, ‘Ukrainian crisis’, Brexit etc.) which brought about substantial and often completely unforeseen, direct and indirect consequences for the international business activities all over the world. …”
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Evolution of copro-tests in active detection of colorectal cancer by V. I. Chissov, N. S. Sergeyeva, Ye. V. Zenkina, N. V. Marshrutina

“…The high morbidity and a mortality in the world from CRC makes active detection of this disease very important, thus the first stage of investigation supposes application of non-invasive laboratory methods. …”
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BRS-Based Robust Secure Localization Algorithm for Wireless Sensor Networks by Ning Yu, Lirui Zhang, Yongji Ren

“…Simulation results demonstrate that the proposed algorithm is robust and effective.…”
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Managing Thrips and Tomato Spotted Wilt in Pepper by Joe Funderburk, Steve Olson, Julianne Stavisky, Yolanda Avila

“…Severe epidemics occur annually on food, fiber, and ornamental crops in temperate, subtropical and tropical regions of the world. This document is ENY-658, one of a series of the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Managing Thrips and Tomato Spotted Wilt in Pepper by Joe Funderburk, Steve Olson, Julianne Stavisky, Yolanda Avila

“…Severe epidemics occur annually on food, fiber, and ornamental crops in temperate, subtropical and tropical regions of the world. This document is ENY-658, one of a series of the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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A Topological Approach to Enhancing Consistency in Machine Learning via Recurrent Neural Networks by Muhammed Adil Yatkin, Mihkel Kõrgesaar, Ümit Işlak

“…Furthermore, we have verified our results with real-world datasets to ensure practical applicability and robustness. …”
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Do Macroeconomic Factors Significantly Affect Economic Growth? Evidence from Ghana by Evans Yeboah, Dastan Bamwesigye

“…The study analyzed time series data from the World Bank (1991 to 2021) using econometrics methods; the Johansen cointegration, Ordinary least squares (OLS), and the distributed lagged model. …”
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Estimating the distribution of parameters in differential equations with repeated cross-sectional data. by Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang

“…Differential equations are pivotal in modeling and understanding the dynamics of various systems, as they offer insights into their future states through parameter estimation fitted to time series data. In fields such as economy, politics, and biology, the observation data points in the time series are often independently obtained (i.e., Repeated Cross-Sectional (RCS) data). …”
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