Physical and Socioeconomic Driving Forces of Land-Use and Land-Cover Changes: A Case Study of Wuhan City, China by Xiangmei Li, Ying Wang, Jiangfeng Li, Bin Lei

“…Population, tertiary industry proportion, and gross output value of agriculture were the most significant factors for three major types of LULC. …”
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Remanufacturing Mode Selection regarding Technology Development by Yaping Li, Zongxian Wang, Junhai Ma

“…The two mechanisms are comparatively analyzed under static equilibrium and complex dynamics from three aspects: (1) the output of new and remanufactured products, (2) the profits of the OEM and the IR, and (3) TEI (total environmental impact) under technology licensing mechanism and joint R&D mechanism, respectively. …”
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INVARIAN AUTOMATIC CONTROL SYSTEM, USING THE INTERMEDIATE-FREQUENCY SIGNALS OF HEAT POWER PARAMETERS by G. T. Kulakov, A. N. Kukhorenko, I. M. Golinko

“…Compensation of disturbance influence on regulated value is achieving by introduction of additional signal on input of correction regulator from output of compensation device, measuring the external disturbance by consumption of over-heated steam.Modeling results of transient processes of cascade system of automatic control (CSAC), on the base of which were realized the unity of these methods, demonstrated the fact that, in processing of external disturbance by consumption of steam, the reduction of maximal dynamic regulation error is six times and cutting of regulation time by 30 % in comparison with CSAC without compensation device of external disturbance. …”
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EFFICIENCY ANALYSIS OF THE INSURANCE SECTOR IN BOSNIA AND HERZEGOVINA by Mirza Šikalo, Almira Arnaut-Berilo

“…Efficiency measurement was performed using the nonparametric Data Envelopment Analysis (DEA) technique as the most commonly used tool for efficiency analysis in finance. We used one output and two input variables according to the input-oriented approach assuming a variable return to scale (VRS). …”
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Economy-wide energy efficiency using a comprehensive decomposition method by D. Setyawan

“…The manufacturing sector and commercial sector played a key role in the regions economic structures that accounted for around 60% to 80% of the total economic output from 1971 to 2016. The contribution of the manufacturing sector increased quite significantly, from 8% in 1971 to a peak of around 31% in 2001, before it fell to 28% in 2016. …”
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Nursing management of a patient with Pneumocystis carinii pneumonia after combined liver and kidney transplantation (1例肝肾联合移植术后并发卡氏肺孢子菌肺炎患者的护理体会)... by JU Xingxing (居星星), YU Rui (于瑞)

“…Key issues of nursing included medication care, intake/output management, targeted treatment support, prevention of infection, psychological care, and so on, aiming to improve the prognosis of disease by early diagnosis, timely intervention and whole-process treatment. …”
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Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features by Jiang Yuan, Qing Wang, Qinzheng Yang, Yongqiang Fan, Weining Jiao

“…Using these three parameters as input variables and JRC error as the output variable, five machine learning algorithms—Support Vector Regression, Gaussian Process Regression, Multilayer Perceptron, XGBoost, and CatBoost—were employed to predict JRC errors across different shooting distances. …”
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Data Fusion Based Hybrid Approach for the Estimation of Urban Arterial Travel Time by S. P. Anusha, R. A. Anand, L. Vanajakshi

“…Three approaches are presented and compared in this study: (1) a combination of input-output analysis for mid-blocks and Highway Capacity Manual (HCM) based delay calculation at signals named as base method, (2) data fusion approach which employs Kalman filtering technique (nonhybrid method), and (3) a hybrid data fusion HCM (hybrid DF-HCM) method. …”
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Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

“…We used a previously published deep-learning-based atrophy progression prediction algorithm to predict the 2-year atrophy progression, including the topographic likelihood of future retinal pigment epithelial and outer retinal atrophy (RORA), according to the baseline OCT input. The algorithm output was a step-less individualized topographic modeling of the RORA growth, allowing for illustrating the progression line corresponding to an 80% growth compared to the natural course of 100% growth. …”
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The Town and the City in Charles Williams's Fiction by Maurice Levy

“…Romans difficiles, dont l'économie tourne autour de la duelle problématique de la Ville et de la Cité, l'une occultant l'autre pour mieux l'appeler, la faire exister comme entité virtuelle, et la convoquer comme illustration de thèses que l'auteur développe dans de nombreux articles et qui relèvent d'une orientation lointainement théologique. …”
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A Bayesian network model integrating data and expert insights for fishing ship risk assessment by Sang-A Park, Deuk-Jin Park, Jeong-Bin Yim, Hyung-ju Kim

“…The FABN was comprehensively modeled based on the scenario, with marine accidents being modeled based on causal variables each marine accident. Changes in the output value of the FABN were verified via a sensitivity analysis, and the independence and statistical significance of the model were confirmed using a statistical analysis of the collected data. …”
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A Facile Synthesis of Highly Nitrogen-Doped Carbon Dots for Imaging and Detection in Biological Samples by Qianchun Zhang, Siqi Xie, Yanqun Yang, Yun Wu, Xingyi Wang, Jincheng Wu, Li Zhang, Junyu Chen, Yuan Wang

“…A facile, green, and high-output hydrothermal synthesis was proposed for the fabrication of highly fluorescent nitrogen-doped carbon quantum dots (N-doped CDs). …”
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Flow shop manufacturing layout as low carbon approach for application in bonding wire drawing industry by Rajandran Vinod, Prakash Joshua, Kamaruddin Shahrul

“…This model enhanced the output and average flow time by 2.7% and 27.7%, respectively, in tandem with low-carbon requisites while retaining machine utilization performance equivalent to the conventional system.…”
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The Estimation of German Football League (Bundesliga) Team Ranking via Artificial Neural Network Model by Faruk Kılıç, Hasan Aka, Serkan İbiş, Zait Burak Aktuğ

“…Total 12 input values (scored and conceded goals) and 1 output (league ranking) value was obtained. 4 different models were determined. 3 seasons league rankings were estimated by training the first 2 season data. …”
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Evaluation and prediction of coal seam mining mode: Coefficient of Variation-TOPSIS and CNN-NGO methods by Haixiong Li, Fei Wang

“…Specifically, in the practical application case of the WJZ 15206 working face, the model successfully predicted the high mining height as the most likely mining method, with a prediction index of 2.4265, close to the normalized output value of 2 for large mining height. This study not only provides scientific methods and tools for the evaluation and prediction of coal seam mining mode but also contributes to the intelligent development of the coal mining industry.…”
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La trace du sportif en montagne : proposition méthodologique pour l’analyse spatiale de données GPS produites par des traileurs by Camille Savre, Marie Eveillard-Buchoux

“…La méthodologie propose de réaliser une catégorisation des parcours autour des critères de dénivelé et de distance. Il s’agit ensuite d’observer la traduction spatiale de cette catégorisation pour apporter un éclairage sur le comportement du sportif dans son espace de pratique. …”
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Rotating Flows Driven by Axisymmetric Blades in a Cylinder by Jae Won Kim

“…The numerical results for the fluid flows and pressure distribution, for both an odd and an even number of the blades are procured. The present output offers an optimal number of the blades for rotating machinery such as agitator. …”
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Optimization of Mix Proportions for Novel Dry Stack Interlocking Concrete Blocks Using ANN by Krishna Prakash A, Jane Helena H, Paul Oluwaseun Awoyera

“…The selected model is subjected to several trials in terms of mean square error, containing 4 input, 2 sets of 10 hidden layers, and one output components. In this study, a total of 2600 blocks of different mixes were tested as per IS 2185-1 (2005) to assess 3, 7, 14, 21, and 28 days’ strength. …”
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New Auxiliary Vector Synthesis for Expanding Linear Modulation Range With the Ability to Eliminate CMV Spikes in the SVM Three-Phase Inverters by Jin Huang, Kaicheng Li

“…Some strategies are used to reduce the high output common-mode voltage (CMV) in three-phase inverters with the space-vector modulation (SVM). …”
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Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

“…The impact analysis on the factors such as input length, neuron number, artificial neural network (ANN) optimizer, and output scope, are taken. To highlight the trimaran high-frequency load fluctuation and improve the prediction accuracy, the LSTM neural network combines with different signal decomposition algorithms, such as Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition (EEMD), Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), and Variational Mode Decomposition (VMD). …”
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