PRICE GENERATING PROCESS AND VOLATILITY IN NIGERIAN AGRICULTURAL COMMODITIES MARKET by Osaihiomwan Ojogho, Robert Awotu Egware

“…The results of the inferential statistics showed that authoregressive moving average (ARMA) model is the most selected Nigeria agricultural commodity price generating model for the time periods, that a unit increase in the past price state of cereals, dairy, sugar, meat and aggregate food would increase the future price of sugar, meat and aggregate food by N0.14, N0.28 and N0.15 respectively but decrease future price of cereals and dairy by about N1.00 and N0.21 respectively, and that the one-step ahead predicted value for the first out-ofsample period for cereals, meat, dairy and sugar price were 6317.86, 10.24 and 2.06 respectively. …”
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Influence of the shape and size of the ground targets on the accuracy of photogrammetric processing by Amr Elsheshtawy, Larisa A. Gavrilova, Anatoly N. Limonov, Mohamed Elshewy

“…Control points are used for absolute orientation of the generated models in the most projects of photogrammetric processing of aerial photos and images obtained from UAVs. …”
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The state of additive manufacturing in dental research – A systematic scoping review of 2012–2022 by H. Kursat Celik, Simay Koc, Alper Kustarci, Nuri Caglayan, Allan E.W. Rennie

“…Conclusion: The final review result clearly stated an expectation for the future that the research in dentistry would concentrate on AM technologies in order to increase the new product and process development in dental materials, tools, implants and new generation modelling strategy related to AM. The results of this work can be used as indicators of trends related to AM research in dentistry and/or as prospects for future publication expectations in this field.…”
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Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network by Ilias Papastratis, Kosmas Dimitropoulos, Petros Daras

“…Moreover, the ability of deep generative models to effectively model data distribution has not been investigated yet in the field of sign language recognition. …”
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Vision-Language Model for Generating Textual Descriptions From Clinical Images: Model Development and Validation Study by Jia Ji, Yongshuai Hou, Xinyu Chen, Youcheng Pan, Yang Xiang

“…MethodsIn our research, we introduced a radiology report generation model named ClinicalBLIP, building upon the foundational InstructBLIP model and refining it using clinical image-to-text data sets. …”
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Theory of spike-train power spectra for multidimensional integrate-and-fire neurons by Sebastian Vellmer, Benjamin Lindner

“…Multidimensional stochastic integrate-and-fire (IF) models are a standard spike-generator model in studies of firing variability, neural information transmission, and neural network dynamics. …”
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Neutrino mass generation and singly charged leptonic exotics in WW events by Hui Luo, Ming-xing Luo, Kai Wang, Tao Xu, Guohuai Zhu

“…We investigate a TeV neutrino mass generation model that predicts singly charged leptonic exotics. …”
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Taxas de geração de viagens em condomínios residenciais de Niterói – estudo de caso by Elisabeth Poubel Grieco, Licinio da Silva Portugal

“…The procedure was applied in eleven condominiums, and, with these data, the rates and trip generation models have been developed, using linear regression. …”
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Sizing of Hybrid Power Systems for Off-Grid Applications Using Airborne Wind Energy by Sweder Reuchlin, Rishikesh Joshi, Roland Schmehl

“…The solar PV modules, battery systems and diesel generator models were based on the specifications from publicly available off-the-shelf solutions. …”
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Electrical conductivity method for predicting yields of two yam (Dioscorea alata) cultivars in a coarse textured soil by Mutair A. Akanji, Suarau O. Oshunsanya, Abdulrasoul Alomran

“…A Multiple linear regression model showed the interactive effect of soil physical and chemical properties as it affected the yields. The generated models showed that soil properties needed for growth and yields of D1 and D2 are different. …”
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Loss-of-function CFTR p.G970D missense mutation might cause congenital bilateral absence of the vas deferens and be associated with impaired spermatogenesis by Jian-Wen Hou, Xiao-Liang Li, Li Wang, Cong-Ling Dai, Na Li, Xiao-Hui Jiang, Yue-Qiu Tan, Er-Po Tian, Qin-Tong Li, Wen-Ming Xu

“…Subsequent retrospective analysis of 122 Chinese patients with CBAVD showed that the mutation is a common pathogenic mutation (4.1%, 5/122), excluding polymorphic sites. Furthermore, we generated model cell lines derived from mouse testes harboring the homozygous Cftr p.G965D mutation equivalent to the CFTR variant in patients. …”
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Optimum Sizing Algorithm for An Off Grid Plant Considering Renewable Potentials and Load Profile by Nabiha Brahmi, Sana Charfi, Maher Chaabene

“…Obtained results are entered as inputs to established generators models in order to estimate the renewable generations. …”
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Renewable Energy Generation Scenarios Using 3D Urban Modeling Tools—Methodology for Heat Pump and Co-Generation Systems with Case Study Application ^† by Verena Weiler, Jonas Stave, Ursula Eicker

“…Two types of supply systems, namely a central heat pump (HP) system and a large co-generation (combined heat and power-CHP) system (both with a central storage and district distribution system), are modeled to supply the heat demand of the area under investigation. Both energy generation models are applied to a case study town of 1610 buildings. …”
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Landfast ice thickness in the Canadian Arctic Archipelago from observations and models by S. E. L. Howell, F. Laliberté, R. Kwok, C. Derksen, J. King

“…Comparison with multi-model simulations from Coupled Model Intercomparison project phase 5 (CMIP5), Ocean Reanalysis Intercomparison (ORA-IP) and Pan-Arctic Ice-Ocean Modeling and Assimilation System (PIOMAS) show that although a subset of current generation models have a "reasonable" climatological representation of landfast ice thickness and distribution within the CAA, trends are unrealistic and far exceed observations by up to 2 orders of magnitude. …”
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Ignition of Small Molecule Inhibitors in Friedreich's Ataxia with Explainable Artificial Intelligence by Kevser Kübra Kirboğa, Ecir Uğur Küçüksille, Utku Kose

“…The Random Forest (RF) technique was used to generate models (train R2 score, 0.701 and 0.892; test R2 score 0.572 and 0.460, for Fe and HDAC, respectively). …”
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Nomogram establishment for short-term survival prediction in ICU patients with aplastic anemia based on the MIMIC-IV database by Yan Tu, Jingcheng Zhang, Mingzhe Zhao, Fang He

“…A nomogram model was built based on independent prognostic factors and risk scores for factors were generated. Model performance was tested using C-index, receiver operating characteristic (ROC) curve, calibration curve, decision curve analysis (DCA) and Kaplan-Meier curve.Results A total of 1,963 AA patients were included. …”
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Development of a Non-Contact Sensor System for Converting 2D Images into 3D Body Data: A Deep Learning Approach to Monitor Obesity and Body Shape in Individuals in Their 20s and 30... by Ji-Yong Lee, Kihyeon Kwon, Changgyun Kim, Sekyoung Youm

“…The model was verified through the difference between 3D data derived from the 2D image and those derived using an actual body scanner. Unlike the 3D generation models that could not be used to derive the body values in this study, the proposed model was successfully used to derive various body values, indicating that this model can be implemented to identify various body types and monitor obesity in the future.…”
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Re_Trans: Combined Retrieval and Transformer Model for Source Code Summarization by Chunyan Zhang, Qinglei Zhou, Meng Qiao, Ke Tang, Lianqiu Xu, Fudong Liu

“…If the discriminator outputs onr, we take S_RM as the result; otherwise, we utilize the generate model, transformer, to generate the given code’ SCS. …”
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New knowledge of prophylaxis and treatment about cancer-associated thrombosis by DING Yongjie, ZHANG Liu, LI Qingyun

“…The Khorana risk score (KRS) is the first model to assess CAT risk and has been validated in several studies. The new generation models are based on the improvement of KRS, but they have not yet undergone large-scale external verification, such as the Vienna CAT model, PROTECHT model, and CONKO model. …”
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The ICON-1.2 hydrostatic atmospheric dynamical core on triangular grids – Part 1: Formulation and performance of the baseline version by H. Wan, M. A. Giorgetta, G. Zängl, M. Restelli, D. Majewski, L. Bonaventura, K. Fröhlich, D. Reinert, P. Rípodas, L. Kornblueh, J. Förstner

“…As part of a broader effort to develop next-generation models for numerical weather prediction and climate applications, a hydrostatic atmospheric dynamical core is developed as an intermediate step to evaluate a finite-difference discretization of the primitive equations on spherical icosahedral grids. …”
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