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Artículos de revistas sobre el tema "Models and model making, 1952"

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Publicado: 26 de julio de 2024

Última modificación: 31 de julio de 2025

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1

DÜPPE, TILL. "ARROW AND DEBREU DE-HOMOGENIZED." Journal of the History of Economic Thought 34, no. 4 (2012): 491–514. http://dx.doi.org/10.1017/s1053837212000491.

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To this day, the so-called Arrow–Debreu model represents a trademark of rigorous economic research—be it as a benchmark for extending the model, for weakening its assumptions, for structuring data sets, or for providing alternative models. But who should earn the credit? Arrow or Debreu? This essay presents “the making of” Arrow’s and Debreu’s joint article of 1954 as documented in their extensive letter exchange between their first contact in February 1952 and submission in May 1953. I show, pivotally, that Arrow and Debreu did not share the same interest in their work, that they played diffe

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2

Ankeny, Rachel A., Sabina Leonelli, Nicole C. Nelson, and Edmund Ramsden. "Making Organisms Model Human Behavior: Situated Models in North-American Alcohol Research, since 1950." Science in Context 27, no. 3 (2014): 485–509. http://dx.doi.org/10.1017/s0269889714000155.

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ArgumentWe examine the criteria used to validate the use of nonhuman organisms in North-American alcohol addiction research from the 1950s to the present day. We argue that this field, where the similarities between behaviors in humans and non-humans are particularly difficult to assess, has addressed questions of model validity by transforming the situatedness of non-human organisms into an experimental tool. We demonstrate that model validity does not hinge on the standardization of one type of organism in isolation, as often the case with genetic model organisms. Rather, organisms are viewe

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3

Heiderman, Ryan R., and Mark J. Kimsey. "A species-specific, site-sensitive maximum stand density index model for Pacific Northwest conifer forests." Canadian Journal of Forest Research 51, no. 8 (2021): 1166–77. http://dx.doi.org/10.1139/cjfr-2020-0426.

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Maximum stand density index (SDIMAX) models were developed for important Pacific Northwest conifers of western Oregon and Washington, USA, based on site and species influences and interactions. Inventory and monitoring data from numerous federal, state, and private forest management groups were obtained throughout the region to ensure a wide coverage of site characteristics. These observations include information on tree size, number, and species composition. The effects and influence on the self-thinning frontier of plot-specific factors such as climate, topography, soils, and geology, as wel

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4

Ramadhan, Ali J., Tufleuddin Biswas, Soumik Ray, et al. "Modeling and Forecasting of Coconut Area, Production, and Productivity Using a Time Series Model." BIO Web of Conferences 97 (2024): 00113. http://dx.doi.org/10.1051/bioconf/20249700113.

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The study aimed to compare ARIMA and Holt's models for predicting coconut metrics in Kerala. The coconut data series was collected from the period 1957 to 2019. Of this, 80% of the data (from 1957 to 2007) is treated as training data, and the rest (20% from 2008 to 2019) is treated as testing data. Ideal models were selected based on lower AIC and BIC values. Their accuracy was evaluated through error estimation on testing data, revealing Holt's exponential, linear, and ARIMA (0,1,0) models as the bestfit choices for predicting coconut area, production, and productivity respectively. After usi

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5

Nisha Bhagirath, Swami, Vaibhav Bhatnagar, and Linesh Raja. "A comparative analysis of optimized CNN models using bio-inspired algorithms." Journal of Information and Optimization Sciences 46, no. 2 (2025): 531–40. https://doi.org/10.47974/jios-1957.

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Nitrogen is a macronutrient that is responsible for crop development. Accurate nitrogen prediction improves crop productivity. This study aims to enhance nitrogen prediction in wheat crops using convolutional neural networks (CNN) with bio-inspired algorithms. CNN, which is widely used for image classification, relies on carefully chosen parameters such as the number of layers, learning rate and kernel sizes to perform effectively. These parameters were optimized using five bio-inspired algorithms. Optimization algorithms aid in selecting the parameters of CNNs to make them more accurate and e

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6

Juanita M. Costillas and Lorelie P. Duarte. "MODELLING PREDICTORS OF ENGLISH PROFICIENCY VIA REASONING ATTRIBUTES AMONG COLLEGE FRESHMEN." Journal of Educational and Human Resource Development (JEHRD) 2 (December 10, 2014): 133–40. http://dx.doi.org/10.61569/av09wv04.

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This study determined the model that most likely predicts English Proficiency among freshmen. Through secondary data analysis with 277 out of 554 freshmen who were randomly selected, majority were found to be on the below average level, both verbal and non-verbal reasoning attributes. Linear Regression and General Linear Models show the independent variables that most likely predict English Proficiency are verbal comprehension, verbal reasoning, figural reasoning, sex and course enrolled specifically engineering courses. Thus, this study supports James (1950), Freud (1953) and Donges (2001) wh

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7

Cooke, William N., Aneil K. Mishra, Gretchen M. Spreitzer, and Mary Tschirhart. "The Determinants of NLRB Decision-Making Revisited." ILR Review 48, no. 2 (1995): 237–57. http://dx.doi.org/10.1177/001979399504800203.

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The authors develop a model of NLRB decision-making that, unlike the models employed in previous studies, distinguishes between decision-making in more important, complex cases and less important, simpler cases. Using a representative sample of Board decisions over 1957–86, they find that in deciding the minority (20%) of disputes that were particularly important or complex, Board members were influenced by their personal preferences and those of Presidents who appointed them—a finding consistent with the results of previous studies. In the remaining cases (about 80%), however, Board members w

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8

McCarty, Nolan M., and Keith T. Poole. "An Empirical Spatial Model of Congressional Campaigns." Political Analysis 7 (1998): 1–30. http://dx.doi.org/10.1093/pan/7.1.1.

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Testing and estimating formal models of political behavior has not advanced as far as theoretical applications. One of the major literatures in formal theory is the spatial model of electoral competition which has its origins in the work of Black (1948) and Downs (1957). These models are used to make predictions about the policy positions candidates take in order to win elections. A lack of data on these candidate positions, especially challengers who never serve in Congress, has made direct testing of these models on congressional elections difficult.Recently, researchers have begun to incorp

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9

COLLANTES, FERNANDO. "Dairy Products and Shifts in Western Models of Food Consumption since 1950: A Spanish Perspective." Rural History 26, no. 2 (2015): 249–68. http://dx.doi.org/10.1017/s0956793315000060.

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Abstract:Through a case study of dairy products in Spain, this article discusses the evolution of what economist Louis Malassis called ‘food consumption models’ in the West from the Second World War. Two distinct consumption models are identified: a first model based on the massification of milk consumption, and a second model featuring decreasing dairy consumption, an increasing role for second-degree processed products and the emergence of new consumer segmentations. Rather than a sudden shift from the first to the second model, there was a punctuated sequence comprising an intermediate tran

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10

Schembs, Katharina. "Staging Work in the Corporatist State. Visual Propaganda in Fascist Italy and Peronist Argentina (1922-1955)." Anuario de Historia de América Latina 58 (December 28, 2021): 270–314. http://dx.doi.org/10.15460/jbla.58.162.

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Starting in 1922, Benito Mussolini (1922-1943) reformed Italian labour relations by adopting corporatism. As such, he served as a model for many other heads of state in search of ways out of economic crisis. When the corporatist model spread throughout Latin America in the 1930s and 1940s, the Argentine president Juan Domingo Perón (1946-1955) drew significantly on the Italian precedent. Adhering to an aestheticised concept of politics and making use of modern mass media, both regimes advertised corporatism in their respective visual propaganda, in which the worker came to play a prominent rol

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11

Bhanu, Prakash Lohani Arvind Dagur Dhirendra Kumar Shukla. "Synergistic ensemble classification framework: utilizing a soft voting algorithm for enhanced prediction and diagnosis of diabetes mellitus." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1945–53. https://doi.org/10.11591/ijeecs.v37.i3.pp1945-1953.

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Diabetes, a serious condition characterized by elevated blood glucose levels, can be effectively identified, and predicted early using machine learning (ML) algorithms. The research provides a comprehensive assessment of three ensemble ML models-stacking, soft voting, and hard voting-focused on enhancing diabetes diagnosis among Pima Indian women dataset taken from the National Institute of Diabetes and Digestive and Kidney Diseases, this study focuses on Pima Indian women aged 21 and older, with the dataset comprising critical diagnostic measurements. Two ensemble models were developed and ev

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12

Bhusal, Chhabi Lal. "Models and Algorithms of Abstract Flows in Evacuation Planning." Prāgyik Prabāha 11, no. 1 (2023): 1–10. http://dx.doi.org/10.3126/pp.v11i1.55501.

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Flows over time generalize classical network flows by introducing a notion of time. Each arc is equipped with a transit time that specifies how long flow takes to traverse it, while flow rates may vary over time within the given edge capacities. Ford and Fulkerson’s original 1956 max flow/min cut paper formulated max flow in terms of flows on paths. In 1974, Hoffman pointed out that Ford and Fulkerson’s original proof was quite abstract, and applied to a wide range of max flow-like problems. In this abstract model we have capacitated elements and linearly ordered subsets of elements called pat

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13

Li Jie. "Predicting Monthly Runoff: A BO-CNN-LSTM Approach for Enhanced Water Resource Management." International Water and Irrigation 43, no. 2 (2024): 34–46. http://dx.doi.org/10.52783/iwi.v43i2.68.

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Monthly runoff prediction is critical for sustainable water resource management, flood control, and drought preparedness. Accurate forecasts assist decision-making and management of water resources, which are critical for human and environmental demands. Previous prediction algorithms frequently lack accuracy due to human-defined hyperparameters. Autonomous hyperparameter tuning is required for improved predictions. Objectives: To improve the accuracy of monthly runoff predictions, this research proposes a BO-CNN-LSTM model that integrates Bayesian optimization (BO) with a convolutional neural

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14

Lohani, Bhanu Prakash, Arvind Dagur, and Dhirendra Kumar Shukla. "Synergistic ensemble classification framework: utilizing a soft voting algorithm for enhanced prediction and diagnosis of diabetes mellitus." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1945. https://doi.org/10.11591/ijeecs.v37.i3.pp1945-1953.

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<p>Diabetes, a serious condition characterized by elevated blood glucose levels, can be effectively identified, and predicted early using machine learning (ML) algorithms. The research provides a comprehensive assessment of three ensemble ML models-stacking, soft voting, and hard voting-focused on enhancing diabetes diagnosis among Pima Indian women dataset taken from the National Institute of Diabetes and Digestive and Kidney Diseases, this study focuses on Pima Indian women aged 21 and older, with the dataset comprising critical diagnostic measurements. Two ensemble models were develop

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15

Firmansyah, Boy, and Nuraini Purwandari. "Utilization of Big Data Technology in the Analysis of Academic Data for Students of the Faculty of Computer Science IBI Kosgoro 1957 for Decision Making." International Journal of Advanced Technology and Social Sciences 2, no. 2 (2024): 207–26. http://dx.doi.org/10.59890/ijatss.v2i2.1325.

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This research discusses the use of Big Data technology in analyzing student academic data at the Ibi Kosgoro 1957 Faculty of Computer Science with the main aim of optimizing the decision-making process. The main focus of the article is to create a predictive model that can predict student academic success based on extensive data analysis. The research steps involve collecting and processing academic data, including grades, number of courses taken, and other variables that may influence student performance. The collected data is then used to train predictive models using machine learning techni

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16

Shafiei Shiva, Javad, and David G. Chandler. "Projection of Future Heat Waves in the United States. Part I: Selecting a Climate Model Subset." Atmosphere 11, no. 6 (2020): 587. http://dx.doi.org/10.3390/atmos11060587.

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The widespread increase in global temperature is driving more frequent and more severe local heatwaves within the contiguous United States (CONUS). General circulation models (GCMs) show increasing, but spatially uneven trends in heatwave properties. However, the wide range of model outputs raises the question of the suitability of this method for indicating the future impacts of heatwaves on human health and well-being. This work examines the fitness of 32 models from CMIP5 and their ensemble median to predict a set of heatwave descriptors across the CONUS, by analyzing their capabilities in

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17

Sevgin, Fatih. "Machine Learning-Based Temperature Forecasting for Sustainable Climate Change Adaptation and Mitigation." Sustainability 17, no. 5 (2025): 1812. https://doi.org/10.3390/su17051812.

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In this study, temperature estimation was achieved by utilizing artificial neural network (ANN) and machine learning models (linear model, support vector machine, K-nearest neighbor, random forest) to assist with sustainable environmental planning and climate change adaptation solutions. The research compared monthly humidity, wind speed, precipitation, and temperature data of the Istanbul province from 1950 to 2023. Estimates with 96% accuracy were achieved with the ANN model, and amongst the machine learning models, the random forest (RF) model demonstrated the highest performance. Generaliz

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18

Wang, Muyin, James E. Overland, Vladimir Kattsov, John E. Walsh, Xiangdong Zhang, and Tatyana Pavlova. "Intrinsic versus Forced Variation in Coupled Climate Model Simulations over the Arctic during the Twentieth Century*." Journal of Climate 20, no. 6 (2007): 1093–107. http://dx.doi.org/10.1175/jcli4043.1.

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Abstract There were two major multiyear, Arctic-wide (60°–90°N) warm anomalies (&gt;0.7°C) in land surface air temperature (LSAT) during the twentieth century, between 1920 and 1950 and again at the end of the century after 1979. Reproducing this decadal and longer variability in coupled general circulation models (GCMs) is a critical test for understanding processes in the Arctic climate system and increasing the confidence in the Intergovernmental Panel on Climate Change (IPCC) model projections. This study evaluated 63 realizations generated by 20 coupled GCMs made available for the IPC

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19

Amalia, Andika Elok, and Cindy Rahayu. "Comparison of Machine Learning Classification Models in Predicting The Titanic Survival Rate." International Journal of Computer Science and Humanitarian AI 2, no. 1 (2025): xx. https://doi.org/10.21512/ijcshai.v2i1.12163.

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The tragic sinking of the Titanic in 1912 has been a subject of great interest, particularly in analyzing the factors that influenced passenger survival rates. This study applies machine learning techniques to predict the survival of Titanic passengers based on various attributes. The dataset used includes demographic details and passenger-specific features such as age, gender, ticket class, number of siblings/spouses, number of parents/children traveling, ticket fare, and departure location. An exploratory data analysis is conducted to understand patterns within the dataset, followed by data

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20

Rupp, T. Scott, Xi Chen, Mark Olson, and A. David McGuire. "Sensitivity of Simulated Boreal Fire Dynamics to Uncertainties in Climate Drivers." Earth Interactions 11, no. 3 (2007): 1–21. http://dx.doi.org/10.1175/ei189.1.

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Abstract Projected climatic warming has direct implications for future disturbance regimes, particularly fire-dominated ecosystems at high latitudes, where climate warming is expected to be most dramatic. It is important to ascertain the potential range of climate change impacts on terrestrial ecosystems, which is relevant to making projections of the response of the Earth system and to decisions by policymakers and land managers. Computer simulation models that explicitly model climate–fire relationships represent an important research tool for understanding and projecting future relationship

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21

Al-Otaibi, Shaha, Amjad Rehman, Muhammad Mujahid, Sarah Alotaibi, and Tanzila Saba. "Efficient-gastro: optimized EfficientNet model for the detection of gastrointestinal disorders using transfer learning and wireless capsule endoscopy images." PeerJ Computer Science 10 (March 11, 2024): e1902. http://dx.doi.org/10.7717/peerj-cs.1902.

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Gastrointestinal diseases cause around two million deaths globally. Wireless capsule endoscopy is a recent advancement in medical imaging, but manual diagnosis is challenging due to the large number of images generated. This has led to research into computer-assisted methodologies for diagnosing these images. Endoscopy produces thousands of frames for each patient, making manual examination difficult, laborious, and error-prone. An automated approach is essential to speed up the diagnosis process, reduce costs, and potentially save lives. This study proposes transfer learning-based efficient d

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Rojas, Aldo Solano. "Raza, funcionalismo y educación." Latin American and Latinx Visual Culture 6, no. 4 (2024): 4–27. http://dx.doi.org/10.1525/lavc.2024.6.4.4.

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In 1935, Antonio Ruiz painted El maquetista (The Model Maker), a rare depiction of a brown-skinned person as a producer of the most avant-garde architecture of the time. As a portrait of a model maker, a profession seldom portrayed in art history, this painting also offers testimony of Ruiz’s role as a teacher in the Escuela Superior de Ingeniería y Arquitectura (ESIA), where he was head of the model-making workshop since the school was founded in 1932. The current article highlights the importance of the ESIA in professionalizing the lower and racialized classes of postrevolutionary Mexico, a

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23

Massironi, Carlo. "Philip Fisher’s sense of numbers." Qualitative Research in Financial Markets 6, no. 3 (2014): 302–31. http://dx.doi.org/10.1108/qrfm-01-2013-0004.

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Purpose – This paper aims to propose an account of the use of numbers and mathematical formulae and, more generally, of the quantitative aspects in the qualitative equity valuation model of the American investor Philip A. Fisher who is considered to be one of the fathers of the qualitative equity valuation models. Design/methodology/approach – A Conceptual analysis was conducted (Glasersfeld, 1992) of the four volumes published by Fisher between 1954 and 1980 (1958, 1960, 1975, 1980) in relation to his equity valuation process. On the basis of this analysis, a modelization of this author’s per

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Pearson, Alastair William. "‘Heaping Offa upon Pelion, and Olympus upon Offa’: An assessment of the role of model making in the development of relief portrayal from 1780 to 1900." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-292-2019.

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<p><strong>Abstract.</strong> By 1800, national surveys had become a priority for regimes around Europe, keen to centralise government and secure territories during a period of significant political upheaval. Military requirements were paramount but the representation of relief remained woefully inadequate. Commanders, not content with simple rough impressions of relief, demanded effective representations from which absolute altitudes and gradients could be derived. However, innovative methods of relief depiction were unlikely to be spearheaded by new national mapping institu

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Urban, Timothy L. "Home advantage in elimination games and the NBA play-in tournament." International Sports Studies 45, no. 1 (2023): 42–58. http://dx.doi.org/10.30819/iss.45-1.05.

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Some of the most exciting contests in US professional basketball are the win-or-gohome, game seven’s in the playoffs. The National Basketball Association has instituted a play-in tournament for the 2021 and 2022 playoffs consisting solely of one-game series, which has sparked considerable controversy among the league’s executives and players. To understand the effect of the play-in tournament on playoff participation, we developed a model to determine the home-court advantage in elimination games. Various solution techniques—including the log-binomial and robust Poisson regression models—are u

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Denroche, Charles. "The Three Grammars and the sign." Review of Cognitive Linguistics 19, no. 1 (2021): 206–31. http://dx.doi.org/10.1075/rcl.00081.den.

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Abstract This article presents an original three-component model of the linguistic sign. It shares with the established triadic models of Peirce (1955 [1897]) and Ogden and Richards (1923/1949) in identifying thought, word and thing as essential components; but differs in being linear, with thought and thing at opposite poles. It is argued that this arrangement reflects the way the components of the sign relate to reality and thereby serves well as an explanatory tool for linguistic research. The model is further modified at each of the ontological realms using concepts from cognitive linguist

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27

Nakaegawa, Tosiyuki. "High-Performance Computing in Meteorology under a Context of an Era of Graphical Processing Units." Computers 11, no. 7 (2022): 114. http://dx.doi.org/10.3390/computers11070114.

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This short review shows how innovative processing units—including graphical processing units (GPUs)—are used in high-performance computing (HPC) in meteorology, introduces current scientific studies relevant to HPC, and discusses the latest topics in meteorology accelerated by HPC computers. The current status surrounding HPC is distinctly complicated in both hardware and software terms, and flows similar to fast cascades. It is difficult to understand and follow the status for beginners; they need to overcome the obstacle of catching up on the information on HPC and connecting it to their stu

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Raval, Amit D., Jordi Casanellas, Orsolya Lunacsek, Niculae Constantinovici, and Per Sandstrom. "Prediction model for real-world survival in men with castration-resistant prostate cancer and bone metastases in the United States: A real-world database study." JCO Oncology Practice 19, no. 11_suppl (2023): 507. http://dx.doi.org/10.1200/op.2023.19.11_suppl.507.

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507 Background: Bone metastases (bm) are common in men with castration-resistant prostate cancer (CRPC) and are associated with poor prognosis. Therefore, identifying prognostic factors for survival is key to aid decision-making. While several models exist for predicting survival in men with mCRPC, most were derived using randomized controlled trial (RCT) data, which may have limited application to real-world (RW) populations and utilized traditional linear methods. We aimed to develop and validate a prediction model of real-world survival (rwOS) in men with bmCRPC using a national RW electron

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Bott, Simon R. J., Mark Emberton, and Matthew R. Sydes. "Prostate Cancer Staging Tables—A Predictive Model for the UK." British Journal of Medical and Surgical Urology 1, no. 3 (2008): 107–19. http://dx.doi.org/10.1016/j.bjmsu.2008.08.002.

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Introduction: The use of accurate risk stratification is a prerequisite to informed decision-making when considering potentially curative treatments for prostate cancer. Most models are derived from cases managed in the United States. The validity of these methods may be compromised when used on a population other than that used for generating the predicted outcomes. We present predictive tables derived from the observed outcomes of men treated by radical prostatectomy in the United Kingdom. Methods: Using logistic regression a pilot study identified the best predictors of pathological stage f

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Shen, Ciyue, Collin Schlager, Deepta Rajan, et al. "Abstract 1922: Application of an interpretable graph neural network to predict gene expression signatures associated with tertiary lymphoid structures in histopathological images." Cancer Research 82, no. 12_Supplement (2022): 1922. http://dx.doi.org/10.1158/1538-7445.am2022-1922.

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Abstract Background: Tertiary lymphoid structures (TLS) are vascularized lymphocyte aggregates in the tumor microenvironment (TME) that correlate with better patient outcomes. Previous studies identified a 12 chemokine gene expression signature associated with disease progression and the type and degree of TLS. These signatures could provide insight important for clinical decision making during pathologic evaluation, but predicting gene expression from whole slide images (WSI) may be impeded by low prediction accuracy and lack of interpretability. Here we report an artificial intelligence (AI)

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31

Caplin, Andrew, and John Leahy. "Economic Theory and the World of Practice: A Celebration of the (S, s) Model." Journal of Economic Perspectives 24, no. 1 (2010): 183–202. http://dx.doi.org/10.1257/jep.24.1.183.

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It was the question of how best to balance the costs of ordering and of running out of stock against the costs of holding excess inventory that inspired Kenneth Arrow, Theodore Harris, and Jacob Marschak to introduce the (S, s) model in 1951. In this celebratory article, we show how this model not only answered important practical questions, but also opened the door to a quite startling range of important and challenging follow-up questions, many of great practical importance and analytic depth. The (S, s) model has become one of the touchstone models of economics, opening new vistas of applie

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32

Cunha, Maria, Diogo Reis, and Margarida Marquesa. "Unveiling the Secrets of the Titanic through Logistic Regression." Economic journal Odessa polytechnic university 1, no. 27 (2024): 54–66. https://doi.org/10.5281/zenodo.11081309.

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Since the dawn of April 15, 1912, the world has witnessed the construction of larger ships, some already dismantled or resting at the bottom of the oceans, while others remain in circulation. However, none has achieved the same level of fame and significance in naval, literary, and cinematic history as the Royal Mail Ship Titanic. From 1912 to the present day, the Titanic has captured the imagination, fueling dreams and nightmares alike. The Titanic's story is widely known, and its data has been utilized in numerous studies, comprising records of various variables and natures, with generalizab

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Schwarz, Andrew, Z. Q. Richard Chen, Alejandro Perez, and Minxue He. "Evaluation and Adjustment of Historical Hydroclimate Data: Improving the Representation of Current Hydroclimatic Conditions in Key California Watersheds." Hydrology 12, no. 2 (2025): 22. https://doi.org/10.3390/hydrology12020022.

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The assumption of stationarity in historical hydroclimatic data, fundamental to traditional water resource planning models, is increasingly challenged by the impacts of climate change. This discrepancy can lead to inaccurate model outputs and misinformed management decisions. This study addresses this challenge by developing a novel monthly data adjustment approach, the Runoff Curve Year–Type–Monthly (RC-YTM) method. The application of this method is exemplified at five key California watersheds. The RC-YTM method accounts for the increasing variability and shifts in seasonal runoff timing obs

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Aslan, Antonio, José-Luis Díez, Alejandro José Laguna Sanz, and Jorge Bondia. "On the Use of Population Data for Training Seasonal Local Models-Based Glucose Predictors: An In Silico Study." Applied Sciences 13, no. 9 (2023): 5348. http://dx.doi.org/10.3390/app13095348.

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Most advanced technologies for the treatment of type 1 diabetes, such as sensor-pump integrated systems or the artificial pancreas, require accurate glucose predictions on a given future time-horizon as a basis for decision-making support systems. Seasonal stochastic models are data-driven algebraic models that use recent history data and periodic trends to accurately estimate time series data, such as glucose concentration in diabetes. These models have been proven to be a good option to provide accurate blood glucose predictions under free-living conditions. These models can cope with patien

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OBIOHA, Emmanuel Obinali, and Solomon Olanrewaju AKINBOYE. "Empirical Model For Measuring The Impact of Corporate Social Responsibility on Financial Performance of South African Mining Companies." International Journal of Environmental, Sustainability, and Social Science 5, no. 6 (2024): 1522–55. https://doi.org/10.38142/ijesss.v5i6.1244.

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Since 1950, corporate social responsibility has been receiving scholarly and managerial importance yet its implementation and evaluation remains untapped. The non-existence of a robust tool for measuring the impact of corporate social responsibility on financial performance of South African mining companies via social and environmental dimensions has continued to be a serious concern in literature and in practice. Thus, the focus is to develop this model by collecting a quantitative data through a census of 45 mining companies listed at Johannesburg Stock Exchange (JSE), located in Gauteng and

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Mitton, Simon A. "The Big Bang versus the Steady State: Gamow, Hoyle and Ryle, rivals in cosmology." Journal of Physics: Conference Series 2877, no. 1 (2024): 012010. http://dx.doi.org/10.1088/1742-6596/2877/1/012010.

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Abstract This account of the controversy concerning the Big Bang and Steady State theories contrasts the different approaches to science of George Gamow, Fred Hoyle and Martin Ryle. Einstein’s general relativity offered theoretical physicists an indispensable tool kit for making mathematical models of the Universe. Georges Lemaître made an astonishing impact in 1927 with his proposal that the expanding Universe started from a decaying super-radioactive primeval atom. Gamow refined Lemaître’s model by proposing that primordial nucleosynthesis in the early expanding Universe had formed the chemi

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37

McCannon, Desdemona. "Pattern and pedagogy in print: Art and Craft Education in the mid twentieth-century classroom." Journal of Illustration 6, no. 2 (2019): 241–63. http://dx.doi.org/10.1386/jill_00013_1.

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Abstract In this article I compare a set of early and mid-twentieth-century print publications supportive of the 'new' art teaching in schools. The educator Marion Richardson's reflections on her use of pattern in the classroom in Art and the Child (1948) is considered alongside publications by artist-teachers such as Robin Tanner's Children's Work in Block Printing (1936) and Gwen White's A World of Pattern (1957). The monthly publication Art and Craft Education first published in 1936 was a magazine for teachers of art which showcased the work being done in schools around Britain that were i

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38

Yuan, Yawen, Zhihong Li, Ke Wang, et al. "Pharmacokinetics of Novel Furoxan/Coumarin Hybrids in Rats Using LC-MS/MS Method and Physiologically Based Pharmacokinetic Model." Molecules 28, no. 2 (2023): 837. http://dx.doi.org/10.3390/molecules28020837.

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Novel furoxan/coumarin hybrids were synthesized, and pharmacologic studies showed that the compounds displayed potent antiproliferation activities via downregulating both the phosphatidylinositide 3-kinase (PI3K) pathway and the mitogen-activated protein kinase (MAPK) pathway. To investigate the preclinical pharmacokinetic (PK) properties of three candidate compounds (CY-14S-4A83, CY-16S-4A43, and CY-16S-4A93), liquid chromatography, in tandem with the mass spectrometry LC-MS/MS method, was developed and validated for the simultaneous determination of these compounds. The absorption, distribut

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39

Ghiggi, Gionata, Vincent Humphrey, Sonia I. Seneviratne, and Lukas Gudmundsson. "GRUN: an observation-based global gridded runoff dataset from 1902 to 2014." Earth System Science Data 11, no. 4 (2019): 1655–74. http://dx.doi.org/10.5194/essd-11-1655-2019.

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Abstract. Freshwater resources are of high societal relevance, and understanding their past variability is vital to water management in the context of ongoing climate change. This study introduces a global gridded monthly reconstruction of runoff covering the period from 1902 to 2014. In situ streamflow observations are used to train a machine learning algorithm that predicts monthly runoff rates based on antecedent precipitation and temperature from an atmospheric reanalysis. The accuracy of this reconstruction is assessed with cross-validation and compared with an independent set of discharg

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40

Durand, Yves, Martin Laternser, Gérald Giraud, Pierre Etchevers, Bernard Lesaffre, and Laurent Mérindol. "Reanalysis of 44 Yr of Climate in the French Alps (1958–2002): Methodology, Model Validation, Climatology, and Trends for Air Temperature and Precipitation." Journal of Applied Meteorology and Climatology 48, no. 3 (2009): 429–49. http://dx.doi.org/10.1175/2008jamc1808.1.

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Abstract Since the early 1990s, Météo-France has used an automatic system combining three numerical models to simulate meteorological parameters, snow cover stratification, and avalanche risk at various altitudes, aspects, and slopes for a number of mountainous regions in France. Given the lack of sufficient directly observed long-term snow data, this “SAFRAN”–Crocus–“MEPRA” (SCM) model chain, usually applied to operational avalanche forecasting, has been used to carry out and validate retrospective snow and weather climate analyses for the 1958–2002 period. The SAFRAN 2-m air temperature and

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41

ÇELİKTOPUZ, Eser. "Forecasting some climate parameters of Türkiye using the SSP3-7.0 scenario for the years 2040–2059." International Journal of Agriculture, Environment and Food Sciences 8, no. 1 (2024): 62–71. http://dx.doi.org/10.31015/jaefs.2024.1.7.

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This study employs the Coupled Model Inter-comparison Projects (CMIPs) and the Sixth phase of CMIPs (CMIP6) to unravel the multifaceted impacts of global climate change on climate of Türkiye. The CMIP6 data, fundamental to the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports, forms the basis for projecting future climate scenarios, specifically under the medium-high reference scenario SSP3-7. Utilizing a suite of global climate models, including the innovative Multi-Model Ensemble (MME) approach, this study combines predictions to enhance the precision climate projections of

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42

Atanane, Othmane, Asmaa Mourhir, Nabil Benamar, and Marco Zennaro. "Smart Buildings: Water Leakage Detection Using TinyML." Sensors 23, no. 22 (2023): 9210. http://dx.doi.org/10.3390/s23229210.

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The escalating global water usage and the increasing strain on major cities due to water shortages highlights the critical need for efficient water management practices. In water-stressed regions worldwide, significant water wastage is primarily attributed to leakages, inefficient use, and aging infrastructure. Undetected water leakages in buildings’ pipelines contribute to the water waste problem. To address this issue, an effective water leak detection method is required. In this paper, we explore the application of edge computing in smart buildings to enhance water management. By integratin

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43

Linke, Olivia, Johannes Quaas, Finja Baumer, et al. "Constraints on simulated past Arctic amplification and lapse rate feedback from observations." Atmospheric Chemistry and Physics 23, no. 17 (2023): 9963–92. http://dx.doi.org/10.5194/acp-23-9963-2023.

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Abstract. The Arctic has warmed more rapidly than the global mean during the past few decades. The lapse rate feedback (LRF) has been identified as being a large contributor to the Arctic amplification (AA) of climate change. This particular feedback arises from the vertically non-uniform warming of the troposphere, which in the Arctic emerges as strong near-surface and muted free-tropospheric warming. Stable stratification and meridional energy transport are two characteristic processes that are evoked as causes for this vertical warming structure. Our aim is to constrain these governing proc

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44

Jervis, Emma. "Why Rape Law Revisions should be Consistent with Anderson’s Negotiation Model." St Andrews Law Journal 3, no. 1 (2023): 59–68. http://dx.doi.org/10.15664/stalj.v3i1.2648.

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In this essay I argue that the current law structure unobjectionably fails to protect women against cases of rape and needs reform. I further maintain that Anderson’s suggestion of ‘negotiation consent’ is the most appropriate line of reform, and I will defend her proposal in the face of potential objections. The current rape law in the UK was implemented in 2003, which revised previous laws firstly defined in the Sexual Offenses Act of 1953. Despite the ostensibly ‘objective’ nature of this law, which will be further examined in this essay, many feminist philosophers have noted the biases wit

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Chaigneau, Alisée A., Guillaume Reffray, Aurore Voldoire, and Angélique Melet. "IBI-CCS: a regional high-resolution model to simulate sea level in western Europe." Geoscientific Model Development 15, no. 5 (2022): 2035–62. http://dx.doi.org/10.5194/gmd-15-2035-2022.

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Abstract. Projections of coastal sea level (SL) changes are of great interest for coastal risk assessment and decision making. SL projections are typically produced using global climate models (GCMs), which cannot fully resolve SL changes at the coast due to their coarse resolution and lack of representation of some relevant processes (tides, atmospheric surface pressure forcing, waves). To overcome these limitations and refine projections at regional scales, GCMs can be dynamically downscaled through the implementation of a high-resolution regional climate model (RCM). In this study, we devel

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46

Trinh, Mi Kieu, Matthew T. Wayland, and Sudhakaran Prabakaran. "Behavioural analysis of single-cell aneural ciliate, Stentor roeseli, using machine learning approaches." Journal of The Royal Society Interface 16, no. 161 (2019): 20190410. http://dx.doi.org/10.1098/rsif.2019.0410.

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There is still a significant gap between our understanding of neural circuits and the behaviours they compute—i.e. the computations performed by these neural networks (Carandini 2012 Nat. Neurosci. 15 , 507–509. ( doi:10.1038/nn.3043 )). Cellular decision-making processes, learning, behaviour and memory formation—all that have been only associated with animals with neural systems—have also been observed in many unicellular aneural organisms, namely Physarum , Paramecium and Stentor (Tang & Marshall2018 Curr. Biol. 28 , R1180–R1184. ( doi:10.1016/j.cub.2018.09.015 )). As these are fully fun

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47

Сазонова and Svetlana Sazonova. "QUANTITATIVE DETERMINATION OF PARAMETERS OF MATHEMATICAL MODELS OF FLOW DISTRIBUTION IN THE SECURITY SYSTEMS OF FUNCTIONING OF HEAT-SUPPLY." Modeling of systems and processes 8, no. 4 (2016): 53–57. http://dx.doi.org/10.12737/19525.

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The evaluation considered the problem of static estimation parameters of the regime. Considered the task used in the numerical implementation of mathematical models for load flow and state estimation of static heating systems. The practical application is possible with the complex task of monitoring the technical condition of systems to provide information to aid decision making in the event of accidents and safety in the operation.

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48

Kindyuk, Boris, Mykhailo Kelman, Vasyl Patlachuk, and Olexander Patlachuk. "History and Socio-Political Conditions of Preparation of the Polish Constitutions from 1919 to 1997." Universum Historiae et Archeologiae 2, no. 2 (2020): 176. http://dx.doi.org/10.15421/26190212.

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The purpose of article deals with the study of history of preparation and the reasons for the adoption of the Polish Constitutions in the period from 1919 to 1997 years. Research methods: dialectical, chronological, comparative, system-structural. Main results. The article shows that the history of the preparation of the Polish Constitutions in the period from 1919 to 1997 years occurred under the conditions of constant changes of socio-political factors, which was reflected in the state system, political, economic and social relations, rights and freedoms of the population. It is proved that

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49

Hazim K Khalaf and Laith A Mahgoob. "Study the effect of notches on bending fatigue strength of 2024 aluminum sheets." Global Journal of Engineering and Technology Advances 14, no. 1 (2023): 014–32. http://dx.doi.org/10.30574/gjeta.2023.14.1.0217.

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In the present study, the effect of holes on the curvature fatigue strength of 2024 aluminum sheets. Has been studied by taking a model of this type and cutting it into models with the dimensions required for testing and by using a central hole as the main variable by making a central whole (CH) with a diameter of (1mm). The device used in this research is a Reversed bending machine of type HI-TECH from a British origin, all tests were done at a constant stress ratio (R = -1), a rotational speed of 6000 rpm and a frequency (100 Hz). The study was practically and theoretically (using the ANSYS1

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50

Hazim, K. Khalaf, and A. Mahgoob Laith. "Study the effect of notches on bending fatigue strength of 2024 aluminum sheets." Global Journal of Engineering and Technology Advances 14, no. 1 (2023): 014–32. https://doi.org/10.5281/zenodo.7683483.

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In the present study, the effect of holes on the curvature fatigue strength of 2024 aluminum sheets. Has been studied by taking a model of this type and cutting it into models with the dimensions required for testing and by using a central hole as the main variable by making a central whole (CH) with a diameter of (1mm). The device used in this research is a Reversed bending machine of type HI-TECH from a British origin, all tests were done at a constant stress ratio (R = -1), a rotational speed of 6000 rpm and a frequency (100 Hz). The study was practically and theoretically (using the ANSYS1

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