Information Logistics Solutions in Healthcare: From Data to Demand Fulfilling Information by Sven Meister, Wolfgang Deiters, Sven Schafer, Valentin Stahlmann

“…Data has to be transformed into demand fulfilling information to cope with one of the biggest problems in information science: data and information overload. …”
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ANALYSIS OF THE EFFECTIVENESS OF DEMAND DATA PATTERNS AND LOTTING TECHNIQUES BASED ON EXPERIMENTAL DESIGN by Evan Nugraha, Rini Mulyani Sari

“…Other lot sizing techniques include the Wagner-Whitin algorithm, Silver-Meal algorithm, Least Unit Cost, Least Total Cost, Part Period Balancing, Period Order Quantity, and Lot for Lot. Simulation data was collected from a real company, including ordering and holding costs, and demand data was generated with four different demand patterns: increasing, decreasing, random, and stationary. …”
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Opening Letter of RILEM TC SDM: The current situation of data and metadata management in construction materials research - Emerging demands and viable solutions by Tanja Manninger, Fabien Georget, Ravi Patel, Tulio Honorio, Gilberto Cidreira Keserle, Roman Wan-Wendner, Sandra Barbosa Nunes

“… To meet growing demands of stakeholders of the construction materials research field, new practices and methods must be established in handling metadata and raw data. …”
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The dynamics of life insurance demand in Bangladesh: An empirical analysis of socio-economic influences by Shaikh Masrick Hasan, Sonia Munmun, Priya Saha

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Data Analysis and Prediction for Emergency Supplies Demand Through Improved Dynamics Model: A Reflection on the Post Epidemic Era by Weiqing Zhuang, Qiong Wu, Morgan C. Wang

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Monthly Load Forecasting in a Region Experiencing Demand Growth: A Case Study of Texas by Jeong-Hee Hong, Geun-Cheol Lee

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Consumption Monitoring System for Demand Base Energy Supply Innovation - Prototyping EMAK (Energy Management Data Center) at ZalaZONE by Attila Balogh, Virag Meszaros

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Recalculation of the budgetary impact of risperidone use for Autism Spectrum Disorder: a case study using measured demand data, Brazil, 2017-2019 by Luis Phillipe Nagem Lopes, Augusto César Sousa Raimundo, Alexander Itria, Rosângela Caetano, Luciane Cruz Lopes

“…Methods This is a case study with a document-based approach, which compared the estimates of the budgetary impact analyses presented in the recommendation reports of the National Commission for the Incorporation of Technologies (CONITEC) for the use of risperidone for ASD with amounts recalculated from measured demand data. The recalculation for children (0-17 years) and adults (≥18 years) was made using data from the Open Health Intelligence Room platform on the dispensing of risperidone in the SUS, considering a three-year time period (2017-2019). …”
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Contextualising the job demands–resources model: a cross-sectional study of the psychosocial work environment across different healthcare professions by Britta Elsert Gynning, Elin Karlsson, Kevin Teoh, Per Gustavsson, Filip Christiansen, Emma Brulin

“…Physicians faced the highest level of Quantitative Demands (mean (x̄) 3.15; 95% CI 3.11–3.19), while registered nurses reported the most Emotional Demands (x̄ 3.37; 95% CI 3.32–3.41). …”
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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

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Time series transformer for tourism demand forecasting by Siyuan Yi, Xing Chen, Chuanming Tang

“…This study proposes a time series Transformer (Tsformer) with Encoder-Decoder architecture for tourism demand forecasting. The Tsformer encodes long-term dependencies with the encoder, merges the calendar of data points in the forecast horizon, and captures short-term dependencies with the decoder. …”
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Influence of seasonality on excursion demand: statistical approach by Liudmyla Hutsal, Valentyna Stoliar

“…Based on the data, a regression and correlation analysis was performed to identify the key factors that affect fluctuations in the demand for excursions in different seasons of the year. …”
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Electric Vehicle Energy Management Under Unknown Disturbances from Undefined Power Demand: Online Co-State Estimation via Reinforcement Learning by C. Treesatayapun, A. J. Munoz-Vazquez, S. K. Korkua, B. Srikarun, C. Pochaiya

“…This paper presents a data-driven energy management scheme for fuel cell and battery electric vehicles, formulated as a constrained optimal control problem. …”
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Long-term experimental climate data for the energy and thermal comfort evaluation in built environment by Helena López-Moreno, María Nuria Sánchez-Egido, Ana Amelia Navarro-Fernández, Luis F. Zarzalejo-Tirado, Emanuela Giancola, María José Jímenez-Taboada, Silvia Soutullo-Castro

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Stakeholder Analysis of Livestock Beef Demand in Samarinda City by Khoirul Muzaqi, Henny Nuraini, Lucia Cyrilla Eko Nugrohowati Supriyadi Dekrityana, Bramada Winiar Putra

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Supply and Demand Balance of Ecosystem Services in the Ulanbuh Desert by Weijia Cao, Xinyu Wang, Qingkang Yang, Huan Liu, Guoxiu Jia, Huamin Liu, Lixin Wang, Xuefeng Zhang, Lu Wen

“…Univariate linear regression analysis and panel data analysis (PDA) were used to examine trends in desert ES supply–demand ratio (ESDR) and its determinants. …”
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The Development of Credit Channels in the transition to the Digital Economy: Demand Modelling by O.  V.   Lunyakov, N.  A.  Lunyakova

“…Due to the lack of relevant statistical data as to the volume of lending by the digital channels, the authors modelled changes in the market share of the traditional lending channel based on hypothetical data (characteristics of credit). …”
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Macro-Level Energy Demand Model for Cellular Telecommunication Networks by Mochamad Mardi Marta Dinata, Yohei Yamaguchi, Hideaki Uchida, Yoshiyuki Shimoda, Agus Subekti

“…Results revealed the spatiotemporal characteristics of energy demand, with a total electricity demand of 5.37 TWh/year or 613.5 MW on average, equivalent to ~2% of the total Indonesian electricity demand in 2022. …”
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ECONOMIC AND INSTITUTIONAL DETERMINANTS OF INTERNATIONAL TOURISM DEMAND IN THE ECOWAS REGION by Sodiq Olaiwola Jimoh, Nusirat Ojuolape Gold

“…The study employs a static panel regression model using annual data between the years 2000 and 2015 across all countries in the West African region. …”
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PENERAPAN FUZZY INFERENCE SYSTEM TIPE MAMDANI UNTUK MENENTUKAN JUMLAH PRODUKSI ROTI BERDASARKAN DATA JUMLAH PERMINTAAN DAN PERSEDIAAN (STUDI KASUS PABRIK CINDERELA BREAD HOUSE DI K... by Elisabeth Rossemary Yunita Sahulata, H. J. Wattimanela, M. S. Noya Van Delsen

“…The application of Mamdani type Fuzzy logic in determining the amount of bread production based on the amount of supply and demand data can assist companies in making decisions with an accuracy value of 90.26633% and an error value of 9.77367%.…”
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