Neural Networks Method in modeling of the financial company’s performance by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…It is important that the model included the factors of both direct and indirect actions with a range of quantitative parameters: conditional-ideal, real, the worst. …”
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PENGARUH PERAN KEPEMIMPINAN, KOMUNIKASI DAN LINGKUNGAN KERJA TERHADAP KINERJA PEGAWAI PADA UPTD PUSKESMAS KECAMATAN KLARI KABUPATEN KARAWANG by Eneng Sukmayanti

“…The research is done by using quantitative method with descriptive and verification method, that is collecting, presenting, analyzing and doing hypothesis testing, and making conclusion and suggestion. …”
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A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment by Kamalini Devi, Chundi Chenna Reddy, Kandakatla Rahul, Jnana Ranjan Khuntia, Bhabani Shankar Das

“…In the present study, Musi River in the Osmansagar basin is taken in to consideration to evaluate the flood risk, which is located at Hyderabad. The input data collected for the study encompasses Hydrological and Meteorological datasets from Gandipet Guage station in Hyderabad, raster grid data for Osmansagar basin along with several indicators data influencing flood vulnerability. …”
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Influence Analysis of Phase Angle of Double Cross Universal Joint Steering Transmission Shaft by Li Ning, Li Yourong, Zhou Sizhu, Zeng Yunyun

“…The influence of phase angle on rotating speed ratio are quantitatively analyzed,the results show that the input shaft and output shaft can realize constant speed drive while two transmission angle are equal and the phase angle is equal to the transmission plane angle,and the double cross universal joint transmission shaft can’t realize the constant speed drive while two transmission angle are not equal.However,the speed difference of input shaft and output shaft is the smallest while the phase angle is equal to the transmission plane angle. …”
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Innovation diffusion process of higher education informatization based on Lotka-Volterra model. by Junjuan Liu, Peiling Yan

“…A research has constructed an framework that includes system input, processing, upgrading, and output: in the system input stage, discourse analysis methods are used to reveal the antecedents of educational informatization innovation; During the system processing phase, analyze the interaction between these antecedents to clarify the mechanism of innovation implementation; During the system upgrade phase, the Lotka Volterra model is integrated to quantitatively analyze the dynamic characteristics of innovation diffusion; In the system output stage, evaluate the specific impact of innovation diffusion on teaching content, teaching forms, and other aspects based on the analysis results. …”
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METHODOLOGICAL BACKGROUND TO EFFICIENT ENGINEERING SYSTEM DESIGN OF SURFACE PLASTIC DEFORMATIONS BY FREE-MOVING INDENTERS by Valery Alexandrovich Lebedev, Roman Alexeyevich Mishchenko

“…It permits, firstly, to identify the functional relation between the elements, and secondly, to characterize them either quantitatively (describing through the equation connecting both the input and output parameters) or qualitatively. …”
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Using natural experiments to evaluate population health interventions: a framework for producers and users of evidence by Peter Craig, Mhairi Campbell, Manuela Deidda, Ruth Dundas, Judith Green, Srinivasa Vittal Katikireddi, Jim Lewsey, David Ogilvie, Frank de Vocht, Martin White

“…Involvement of relevant stakeholders maximises the likelihood of findings being understood, taken up and used for decision-making. Quantitative methods The quantitative methods used will be defined by the research question being investigated and the design features of the evaluation, with a complex systems perspective likely to require a combination of qualitative methods alongside the quantitative methods. …”
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Multi optimization of laser drilling of GFRP composites via TOPSIS approach by Ahmed Bahei El-Deen Mahrous, R. A. Elsad, Marwa El-Mahalawy

“…Based on closeness coefficient (Si*) of TOPSIS, the optimum levels of parameters were identified and analysis of variance (ANOVA) was used to quantitatively assess the influence of the input parameters on the output responses. …”
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FATIGUE RELIABILITY ANALYSIS OF TOWER CRANE UNDER DYNAMIC LOADS BASE ON STOCHASTIC FINITE ELEMENT METHOD by GUO MangMang, YANG Jing, WANG YuJia, WEI JiangYu

“…Due to the distribution of all input parameters influence the reliability of the tower crane were considered, and all possible conditions in the work of the tower crane were simulated, the results are more consistent with the actual than existing methods, which can provide reference for the evaluation of fatigue reliability of tower crane.…”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…Additionally, the Bayesian regularization backpropagation (trainbr) algorithm is used to optimize the input–output relationship accuracy. The suitability of present modeling strategy for LG beams in LTB is quantitatively discussed based on error and performance trends.…”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…This dynamic gets more complex when a variety of quantitative and qualitative data from diverse types and from several markets are added to the model. …”
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Development and description of a theory-driven, evidence-based, complex intervention to improve adherence to treatment for tuberculosis in the UK: the IMPACT study by Annie S. K. Jones, Rob Horne, Jacqui White, Trish Costello, Marcia Darvell, Aaron S. Karat, Karina Kielmann, Helen R. Stagg, Adam T. Hill, Heinke Kunst, Colin N. J. Campbell, Marc C. I. Lipman

“…It also provides a full description of the resulting intervention.Methods We synthesised findings from our formative research (qualitative and quantitative scoping reviews and patient and carer interviews) and supplemented these with clinic observations, a literature review, and healthcare provider interviews. …”
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Development of a decision‐support framework to support professionals and promote comfort among older hospital inpatients living with dementia by Nathan Davies, Emily West, Ellen M. Smith, Victoria Vickerstaff, Jill Manthorpe, Malvi Shah, Greta Rait, Jane Wilcock, Jane Ward, Elizabeth L. Sampson

“…Patient and Public Contribution We worked closely with people living with dementia and family carers throughout this study, including the development of the study protocol with input on study development and design, through to inclusion in stakeholder workshops and codesign of the decision support framework.…”
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A high-resolution remote sensing land use/land cover classification method based on multi-level features adaptation of segment anything model by Hui Yang, Zhipeng Jiang, Yaobo Zhang, Yanlan Wu, Heng Luo, Peng Zhang, Biao Wang

“…Specifically, the domain distribution shift adaptation (DDSA) level is designed to adjust the input image modality for SAM and initially extract features and overcome the domain distribution shift between remote sensing images and the natural images used by the SAM. …”
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Trade-offs and synergies in river-coastal restoration for the Ebro case (Spanish Mediterranean) by Agustín Sánchez-Arcilla, Luis Garrote, Vicente Gracia, Iván Cáceres, Xavier Sánchez-Artús, Nuno Caiola, Antoni Espanya, Manuel Espino, Miguel Ángel García, José María Grassa, Carles Ibáñez, David López, Marc Mestres, José Manuel de la Peña, Ernest Bladé, Umberto Pernice, Laura Puértolas, David Santillan, Shiri Zemah-Shamir, Ana Iglesias

“…Evolving erosion and flooding risks (problem symptoms) consider the decrease in sediment input to the delta and the increase in mean sea level (problem origin). …”
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From words to action: the development of the Neglected Tropical Disease Inclusion Score Card (NISC) by Robin van Wijk, Surya J. M. Baudoin, Bernice Ejiogu, Upasana Regmi, Mathias Duck, Ibrahim Rabiu, Constanze Vettel, Heleen Broekkamp, Roos Geutjes, Ruth M. H. Peters, Ida J. Korfage

“…Methods This research used an iterative, mixed-methods approach involving stakeholder input, semi-structured interviews, and surveys across two phases. …”
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What does the impurity variability at the microscale represent in ice cores? Insights from a conceptual approach by P. Larkman, R. H. Rhodes, N. Stoll, C. Barbante, C. Barbante, P. Bohleber, P. Bohleber

“…Input data were collected from four ice core samples from Greenland and Antarctica. …”
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Radio Propagation Models Based on Machine Learning Using Geometric Parameters for a Mixed City-River Path by Allan Dos S. Braga, Hugo A. O. Da Cruz, Leslye E. C. Eras, Jasmine P. L. Araujo, Miercio C. A. Neto, Diego K. N. Silva, Gervasio P. S. Cavalcante

“…For its development, measurements were carried out in Amazon Region, Belém city, in the 521 MHz band. The input parameters for an ANN and NFS are the distance between transmitter and receiver, the distance only over the river, the height of the ground, the radius of the first Fresnel ellipsoid, and the electric field of free space. …”
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PENGARUH PERAN KEPEMIMPINAN, KOMUNIKASI DAN LINGKUNGAN KERJA TERHADAP KINERJA PEGAWAI PADA UPTD PUSKESMAS KECAMATAN KLARI KABUPATEN KARAWANG by Eneng Sukmayanti

“…The research is done by using quantitative method with descriptive and verification method, that is collecting, presenting, analyzing and doing hypothesis testing, and making conclusion and suggestion. …”
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CC-Former: Urban Flood Mapping from InSAR Coherence with Vision Transformer: Libya and Storm Daniel as Test Case by T. Saleh, T. Saleh, T. Saleh, S. Holail, M. Al-Saad, F. Xu, M. Zahran, G.-S. Xia, G.-S. Xia

“…Specifically, CC-Former utilizes two Siamese weight-sharing encoders to extract multi-scale features from input InSAR coherence images and employs a decoder to generate final predictions. …”
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