Idea: From Realism to Idealism by Piotr Jaroszyński

“…Passing over early-modern and modern “isms” and various meanings of the term “idea,” deep in the past we discover the Proto-Indo-European “id” as the root involving the act of seeing and the object that is seen. …”
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Destructive Knowledge: Strategies for Learning to Un-Do by Marcelo López-Dinardi

“… Architects are moved by a genealogical inertia that drives them towards doing. …”
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De Tunis à Kairouan de Guy de Maupassant. Voyage au bout des origines by Dorra Barhoumi

“…In this travel story, Maupassant escapes and wanders to forget. But also to try to "root out" by exploring an unknown land and origins virgin of all sense of artifice, absurdity, ferocity peculiar to the European world and to the French society. …”
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Research on Stability of the High-order System Based on the Routh Criterion and Dominant Pole Method by Lin Xianxin, Su Qian, Ye Chengbao, Li Guojin, Liang Lin

“…The force model of the omnidirectional robot moving on the slope is constructed, the system function of the model is calculated, and the influence on the system due to load, slope <italic>θ</italic>, inertia and other disturbances is analyzed. …”
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Redefining the subcultural: the sub and the cultural by Erik Hannerz

“…An increased focus on the prefix sub and its relation to the root cultural allows for a discussion of how the subcultural is symbolically extended and more so, how this involves both conflict and alternative interpretations. …”
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Une « flamandisation » de Bruxelles ? by Alice Romainville

“…The « flemishisation myth » takes root in this increased visibility, but equally in French speakers’ reaction to this visibility. …”
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INTERPRETING THE RELIGIOUS MOTIVE OF THE HARROWING OF HELL IN W. LANGLAND’S “PIERS PLOWMAN” by Kseniia O. Vielchieva

“…The dream form enables the poet to introduce different allegorical figures and characters, move freely from one time and space dimension to another. …”
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Influence of Migratory Strategy, Group Size, and Environmental Conditions on the Movements of Caribou in Eastern Alaska by Kyle Joly

“…Variability in the type of movements is rooted in their purpose, environmental factors, demographics, and individual physiological condition. …”
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Study on Water Erosion in Deep Peak Shaving of Steam Turbine by Yunfeng LIU, Yufeng LI, Jian WANG, Yiliang MA, Chun GUAN

“…In order to improve the life of the unit, and study the water erosion of the last stage moving blade caused by the deep peak shaving of steam turbine, this paper established a method to measure the water erosion of blade based on relative volumetric flow. …”
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Time Series Modelling of the Caspian Kutum (Rutilus frisii) Catch Using SARIMA Model by Fateh Moezzi, Hadi Poorbagher, Soheil Eagderi, Jahangir Feghhi

“…Time series modeling was conducted usingthe seasonal autoregressive integrated moving average (SARIMA) model based on seasonal 3-month intervals. …”
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Energy Prediction Method for Metro HVAC Systems based on the ARMA Model by Huang Ronggeng, Long Jing, Pan Zhigang, Chen Huanxin, Liu Jiangyan, Liu Jiahui, Li Zhengfei

“…This paper proposes an energy consumption-prediction method for metro heating, ventilation and air-conditioning (HVAC) systems based on an auto-regressive moving average (ARMA) model using a time-series data analysis. …”
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Reflecting on the Impact of Growth Mindset Teaching on Reducing Disruptive Behaviors in a 5th Grade Classroom by Lily Skots

“…Traditional disciplinary approaches often overlook the root causes of disruptive behaviors and boredom, potentially hindering individual student progress and causing disruptions throughout the entire classroom. …”
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Time series analysis of construction accidents in Saudi Arabia with consideration of COVID19 lockdown effects by Badr T. Alsulami

“…SARIMA (1,1,1) (1,1,1,12) achieved the best performance, with a Mean Absolute Error of 74.75 and Root Mean Squared Error of 103.77, effectively capturing both seasonal cycles and trend behavior. …”
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Money laundering rate modelling by J. M. Beketnova, E. S. Anisimov

“…In the last published work, a forecast was formed based on the seasonal integrated autoregression – moving average (SARIMA) model for 11 months of 2022 from February to December. …”
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From One Cause to Webs of Causality by Derek Cabrera, Laura Cabrera

“…Yet in both public discourse and policy design, one-cause and root-cause thinking continue to dominate. This paper introduces Webs of Causality (WoC) and Connect-the-Dots (CtD) thinking as cognitively grounded, empirically supported frameworks for understanding and addressing wicked problems. …”
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Indonesian Government Revenue Prediction Using Long Short-Term Memory by Mahmud, Windu Gata, Hafifah Bella Novitasari, Sigit Kurniawan, Dedi Dwi Saputra

“…Experiments show that the LSTM model, using two hidden layers and the right hyperparameters, can produce a Mean Absolute Percentage Error (MAPE) of 11.14% and a Root Mean Square Error (RMSE) of 15.43%. These results are better than those obtained using conventional modeling techniques such as Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA). …”
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Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce by Alp Ecevit, İrem Öztürk, Mustafa Dağ, Tuncay Özcan

“…The performance of the proposed models is compared with the seasonal autoregressive integrated moving average (SARIMA) using real-life data from an e-commerce site. …”
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Reducing waste in the convection industry by lean six sigma and DMAIC implementation approach by Faishal Muhammad, Krisna Ratih Dewita, Maharani Khoirunnisa

“…The workstation space was moved to the same building to eliminate transportation waste. …”
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Comparison of Forecasting Performance of ARIMA LSTM and HYBRID Models for The Sales Volume Budget of a Manufacturing Enterprise by Ayşe Soy Temür, Şule Yıldız

“…For estimating time-series of sales as a linear model ARIMA (Auto-Regressive Integrated Moving Average), as nonlinear model LSTM (Long ShortTerm Memory) and a HYBRID (LSTM and ARIMA) model built to improve system performance compared to a single model was used. …”
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