Cómo Iniciar el Proceso de Mercadeo en la Empresa by Gerardo Lee Rojas

“…Sin un plan de mercadeo, la posibilidad decometer errores es altísima. En muchos casos, la desesperaciónque causa el avance de la competencia y lareducción del nivel de ventas, provocan que la empresase desenfoque, cometiendo el error de operar en camposque no estaban contemplados en su estrategia comercialbásica, y, por tanto, en los que no tiene suficiente habilidadcompetitiva. …”
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

“…The results from the validation comparison show that the elevation accuracy of IC2-GDEM is evidently superior to that of the ASTER GDEM product: (1) the RMSE reduction ratio of the corrected GDEM elevation is between 16 % and 82 %, and the average reduction ratio is about 47 %; and (2) from the analysis of the different topographies and land covers, this error reduction is effective even in areas with high topographic relief (<span class="inline-formula">&gt;15<i>°</i></span>) and high vegetation cover (<span class="inline-formula">&gt;60 %</span>). …”
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Bonding behavior of lap-spliced reinforcing bars embedded in ultra-high-performance concrete with steel fibers by Krairerk Aiamsri, Teerasak Yaowarat, Suksun Horpibulsuk, Apichat Suddeepong, Apinun Buritatum, Kanchana Hiranwatthana, Kirati Nitichote

“…This method achieves an error margin below ±16.5%, providing an accurate approach for practitioners. …”
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Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa by Boris Ouattara, Michael Thiel, Barbara Sponholz, Heiko Paeth, Marta Yebra, Florent Mouillot, Patrick Kacic, Kwame Hackman

“…Based on a stratified random sampling, the validation results demonstrate varying levels of accuracy for the VIIRS-BA product across different confidence levels. The commission error (CE) ranges from 7.8% to 23.4%, while the omission error (OE) falls between 29.4% and 58.8%. …”
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Nonlinear Model Predictive Yaw Moment Control Through Electric Axle and Friction Brake Torque Distribution by Carmine Caponio, Gaetano Tavolo, Davide Tavernini, Ahu Ece Hartavi Karci, Javad Ahmadi, Basilio Lenzo, Giulio Reina, Giacomo Mantriota, Pietro Perlo, Aldo Sorniotti

“…With respect to benchmarking rule-based controllers, the results show that the NMPCs bring significant reductions of the yaw rate errors and friction brake power losses, while increasing the exit speed in acceleration-during-cornering conditions.…”
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Aerosol single-scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations by Y. Dong, J. Li, J. Li, Z. Zhang, C. Zhang, Q. Li

“…The merged datasets show substantial improvements against the original products, with the correlation coefficient increased by up to 100 <span class="inline-formula">%</span> and the mean absolute bias (MAB) and root mean square error (RMSE) reduced by more than 30 <span class="inline-formula">%</span> compared with the AERONET results. …”
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The Impact of Managerial Overconfidence on Expenses Classification Shifting: The Moderating Role of Comparability of Financial Statements by Farshid Riahi Dorcheh, Iraj Torabi

“…The research model is estimated through panel data by controlling the effects of industry and year by ordinary least squares method with robust standard error.   Finding The findings of the first hypothesis show that managers' overconfidence leads to an increase in expense classification shifting and a piecemeal decrease in classification shifting over time. …”
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Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001–2019 by Houbing Chen, Yaoliang Chen, Lamin R. Mansaray, Longwei Li, Shusen Wang

“…New hydrological insights for the region: The improved MOD16 algorithm showed better performance with the average Root Mean Square Error decreasing by 0.12 mm/day compared with the original MOD16 ET. …”
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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego A. Medina-Herrera, Jorge A. Mejía-Luquez, Remberto R. Martínez, William O. Burgos-Paz, Lorena A. Aguayo-Ulloa

“…This study investigates the in-field dynamics of Mombasa grass (<i>Megathyrsus maximus</i>) forage biomass production and quality using optical techniques such as visible imaging and near-infrared (VIS-NIR) hyperspectral proximal sensing combined with machine learning models enhanced by covariance-based error reduction strategies. Data collection was conducted using a cellphone camera and a handheld VIS-NIR spectrometer. …”
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Design and testing of a lotus root harvester with a collection device by Xiaofeng Zhou, Lizi Liu, Yunfu Luo, Hui Wang

“…Using coupled computational fluid dynamics–discrete element method (CFD–EDEM) simulations, hydraulic parameters were optimized (nozzle diameter: 12.01 mm; flushing angle: 46.59°; clearance: 50.25 mm), achieving a simulated soil fragmentation rate of 29.02 % (simulation error: 0.8 %). Bench tests confirmed a fragmentation rate of 28.90 % (deviation: 0.41 % from simulation) and demonstrated a 60 % reduction in labor intensity. …”
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Evaluating the accuracy of models using routinely collected herd data for prediction of on-farm lameness prevalence by Conor Barry, Esben Østergaard Eriksen, Kristian Ellingsen-Dalskau, Christoph Winckler, Nicholas J. Bell, Camilla Kielland

“…The accuracy of both models was assessed in terms of their concordance r and prediction errors. A higher CHI score was indicative, as hypothesized, of a lower lameness prevalence and vice versa. …”
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Analisis Sistim Manajemen Dokumentasi Keperawatan pada Poliklinik Gigi Rumah Sakit di Bukittinggi by Dewi Rosmalia, Rizanda Machmud, Haryadi Mangkuto

“…<br />Kata kunci: dokumentasi, poliklinik gigi, manajemen<br /><br />Abstract <br />Nursing documentation is written proof of service to patients by nursing staff that aims to avoid errors, and incompleteness of information overlapping in nursing so good and dynamic coordination between nursing staff and improve the efficiency, effectiveness and ensure the quality of nursing care. …”
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Analysis of Learning Obstacles for Junior High School Students in Understanding SPLDV Concepts by Firda Luthfiatika Jannah, Neneng Aminah, Surya Amami Pramuditya, Cita Dwi Rosita, M. Subali Noto

“…Data analysis in this research includes data reduction, data presentation, and concluding. The research results show that students still face several difficulties in understanding SPLDV material. …”
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Women’s reports of violence before and during COVID-19 in Curitiba-PR, Brazil: an analysis of forensic reports by Ádelin Olívia Lopes Joly, Elisa Cristina Zvir, Emanuélle Branco Moreira, Rhafaela Ribeiro Silva, Isabela Cristina Santos Freire de Paula, Thaís Aparecida Xavier, Sérgio Aparecido Ignácio, Marilisa Carneiro Leão Gabardo, Luciana Reis Azevedo Alanis, Samuel Jorge Moysés, Renata Iani Werneck, Juliana Schaia Rocha Orsi

“…For significant associations, pairwise comparisons of proportions were made using the Z-test, with Bonferroni correction applied to control for Type I errors. Variables with p-values ≤ 0.05 were considered significant. …”
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VMMCD: VMamba-Based Multi-Scale Feature Guiding Fusion Network for Remote Sensing Change Detection by Zhong Chen, Hanruo Chen, Junsong Leng, Xiaolei Zhang, Qi Gao, Weiyu Dong

“…The redundancy within the models and detection errors, particularly missed detections, generally affect accuracy and merit further research. …”
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Implementing FFE-MLSD With Improved BER and Reduced Complexity for Long-Reach PAM4 Wireline Receivers by Hanseok Kim, Sihyun Lee, Piljun Jeong, Jaeha Kim, Woo-Seok Choi

“…This paper proposes a PAM4 receiver DSP architecture based on Feed-Forward Equalizer (FFE) and Maximum Likelihood Sequence Detector (MLSD), targeting improved bit-error-rate (BER) performance and reduced hardware complexity. …”
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Voice Spoofing Detection Through Residual Network, Max Feature Map, and Depthwise Separable Convolution by Il-Youp Kwak, Sungsu Kwag, Junhee Lee, Youngbae Jeon, Jeonghwan Hwang, Hyo-Jung Choi, Jong-Hoon Yang, So-Yul Han, Jun Ho Huh, Choong-Hoon Lee, Ji Won Yoon

“…Our single model achieved a replay attack detection equal error rate (EER) of 0.30&#x0025; on the evaluation set using an optimized constant Q transform (CQT) feature, outperforming the top ensemble system in the competition, which scored an EER of 0.39&#x0025;. …”
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Inverse estimation of the release rate of the heated pollutant source with strong convection and its application to the exhaust system design by Lei Cao, Yi Wang, Yanqiu Huang, Shengnan Guo, Junwei Guo, Yingke Zheng

“…It is also concluded that the strong convection and the measurement error both have the negative impact on the accuracy of the IESR. …”
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Deep learning-based thermal modeling of slipping velocity in oblique magnetohydrodynamic non-Newtonian nanofluid flows by Nek Muhammad Katbar, Hina Zahir, Kamel Guedri, Basim M. Makhdoum, Siti Suzilliana Putri Mohamed Isa, Syed M. Hussain, Abbas Khan

“…Statistical comparisons confirm the accuracy of ANN with a mean square error below 10^-5. The results reveal that an increase in the homogeneous reaction parameter enhances nanoparticle dispersion, thereby increasing the nanofluid temperature by approximately 18.6 % for the shear-thinning case and 22.3 % for the shear-thickening case. …”
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Experimental study on rock fracture toughness under temperature and confining pressure coupling condition by Bo Cai, Nailing Xiu, Dongxu Li, Haifeng Fu, Xiaodong Dai, Dawei Deng, Hexiang Zhao, Xueyuan Han, Songyang Yuan, Liangang Deng

“…A damage mechanics-based constitutive model was developed to quantify these dual effects, demonstrating strong agreement with experimental data (mean absolute error &lt;5%). This model addresses the critical gap in fracture toughness characterization under deep reservoir conditions, enabling enhanced accuracy in hydraulic fracture propagation simulations for ultra-deep carbonate reservoir stimulation.…”
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