Enacting Media. An Embodied Account of Enculturation Between Neuromediality and New Cognitive Media Theory by Joerg Fingerhut

“…Within an artifactual habit, we then become attuned to a specific media work (e.g., a TV series, a picture, a text, or even a city) that engages us. …”
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« Brouillard sanglant » sur Sunnydale ! by Isabelle-Rachel Casta

“…The "Urtext" of BtVS was a completely failed film, which became "cult" by the contrast between its bitter failure and the dazzling success of the series, a series which itself will be the object of a spin-off between the main work and a poor imitator, Angel, centered on the character of the romantic vampire with whom the slayer is infatuated. …”
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Relationship between dementia and depression: a case series by A. Izquierdo De La Puente, P. del Sol Calderón, R. Fernández Fernádez, A. Rodríguez Rodriguez, M. Vizcaíno Da Silva, M. Martín García, O. Médez Gonzalez

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Enhanced impulsivity, poorer planning and rigid patterns when drawing in substance use disorder: a preliminary study by Giulia Orlandi, Javier Comes Fayos, Concepción Blasco Ros, Ángel Romero Martínez, Luis Moya Albiol

“…Second, we explored the differences between groups in drawing variables by means of the diagnostic drawing series, a validated drawing paradigm. Finally, we examined the relationship between the neuropsychological markers and the drawing variables. …”
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An analytical methodology of rock burst with fully mechanized top-coal caving mining in steeply inclined thick coal seam by Pengfei Shan, Zhongming Yan, Xingping Lai, Huicong Xu, Qinxin Hu, Zhongan Guo

“…The method first calculates the b value from microseismic monitoring data and constructs a time series dataset, and uses the dynamic time warping algorithm (DTW) to reconstruct the established b value time series. A bidirectional short-term and short-term memory network (BiLSTM) loaded with differential evolution algorithm and attention mechanism was used for training, and a prediction model for the dangerous period of rock burst based on differential algorithm optimization was constructed. …”
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Trends in indices of daily precipitation extremes in Catalonia (NE Spain), 1951–2003 by M. Turco, M. C. Llasat

“…The trend analysis has been implemented using a Circular Block Bootstrap procedure applicable to non-normal distributions and autocorrelated series. A running trend analysis has been applied to analyze the trend persistence. …”
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Clinical variations of polypoidal choroidal vasculopathy: A cohort study from Japan and the USA by Hisashi Fukuyama, Ghazi BouGhanem, John Moir, Dimitra Skondra, Fumi Gomi, Amani A. Fawzi

“…This cohort study was a retrospective, multicenter, consecutive case series. A total of 126 patients with treatment-naïve PCV—46 in Chicago and 80 in Nishinomiya—were identified. …”
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Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors by Hossein Shafizadeh-Moghadam, Morteza Khazaei, Seyed Kazem Alavipanah, Qihao Weng

“…Using Landsat-8 time series, a 30-m resolution LULC map was produced for the Tigris-Euphrates basin. …”
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Effects of Fertilization Regimes on Pathum Thani 1 Rice Grown on Sapphaya Soil Series by Auraiwan Isuwan

“…This study aimed to determine an optimized fertilizer rate to maximize grain yields, economic returns over fertilizer cost and agronomic fertilizer nutrient-use efficiency (ANUE) of Pathum Thani 1 rice grown on Sapphaya soil series. A completely randomized design with 5 replications was used. …”
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Modelling catchment hydrology within a GIS based SVAT-model framework by R. Ludwig, R. Ludwig, W. Mauser, W. Mauser

“…The hourly actual evapotranspiration rate is calculated for a 14-year time series. A rainfall-runoff model, based on an enhanced distributed TOPMODEL structure, is linked to the SVAT-model in order to provide a hydrological model covering the water-cycle at the basin scale in a 30m-resolution. …”
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GARCH based artificial neural networks in forecasting conditional variance of stock returns by Josip Arnerić, Tea Poklepović, Zdravka Aljinović

“…Based on the fact that volatility is time varying in high frequency data and that periods of high volatility tend to cluster, the most popular models in modelling volatility are GARCH type models because they can account excess kurtosis and asymmetric effects of financial time series. A standard GARCH(1,1) model usually indicates high persistence in the conditional variance, which may originate from structural changes. …”
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ARTIFICIAL INTELLIGENCE SYSTEMS IN THE FINANCIAL MARKET PREDICTIONS: LITERATURE REVIEW by Николай Ярославович Кушнир, Катерина Токарева

“…As the scientific literature superficially describes the numerous artificial intelligence algorithms to be used in forecasting financial time series, a detailed analysis of the relevant scientific literature was conducted in scientometric databases Scopus, Science Direct, Google Scholar, IEEExplore, and Springer. …”
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Natural Transform along with HPM Technique for Solving Fractional ADE by N. Pareek, A. Gupta, G. Agarwal, D. L. Suthar

“…Here, in order to get the FADE solved in the form of convergent infinite series, a novel method NHPM (natural homotopy perturbation method) is applied which couples Natural transform along with the homotopy perturbation method. …”
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Analysis of Land Use/Land Cover Changes 2005–2020 Jagorawi Highway Corridor by Tiara Pratiwi Kusumah Wardani, Lilik Budi Prasetyo, Yudi Setiawan

“…Visual analysis method was used to identify and classify the eight land use types per each period of Landsat image series. A simple overlay method was applied to determine the effect of the factors of distance from JT Jagorawi, from arterial collector roads, from GT Jagorawi, and from the government center; and population density. …”
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Coaching tools for high-performance driving by Meyer, James Isaac, 1977-

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Spatio-temporal data fusion in cerebral angiography by Copeland, Andrew David, 1978-

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Fibre dimension and chemical constituens of rubber tree (Hevea brasiliensis) RRIM 2000 clone series by A. Saffian, Harmaen, Md Tahir, Paridah, Harun, Jalaluddin, Rani, Md. Ali, Ismail, Ismanizam, Lim, Victor K. Sim

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Strength behaviour of silica aerogel/thermoset polymer with reinforced fibre-metal laminate composites for aero-engine firewall by Mohammed, I., Abu Talib, A. R.

Study of regional monthly precipitation based on CEEMD-BILSTM coupled model by Xianqi Zhang, Jingwen Shi, Guoyu Zhu, Yimeng Xiao, Haiyang Chen

“…CEEMD based on complementary ensemble empirical mode decomposition can effectively reduce the reconstruction error of time series, and bidirectional long short-term memory (BILSTM) model can effectively learn long-term dependencies in time series. A CEEMD-BILSTM (complementary integrated empirical mode decomposition-bidirectional long short-term memory) coupled model is constructed to predict the monthly precipitation in Zhengzhou, and the performances of the LSTM model, EEMD-LSTM model and EEMD-BILSTM model are compared. …”
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Genetic diversity of the Aporrectodea caliginosa complex in Russia by S. V. Shekhovtsov, E. V. Golovanova, N. E. Bazarova, Yu. N. Belova, D. I. Berman, E. A. Derzhinsky, M. P. Shashkov, S. E. Peltek

“…On the whole, both genetic diversity and abundance was shown to decrease in the following series: A. c. caliginosa lineage 2 – A. c. caliginosa lineage 3 – A. c. trapezoides and A. longa.…”
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