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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Improving Electrical Stimulation Effectiveness and Versatility for Non-Invasive Transdermal Monitoring Applications via an Innovative Mixed-Signal Electronic Interface by Alessandro Zompanti, Davide Ciarrocchi, Simone Grasso, Riccardo Olivieri, Giuseppe Ferri, Marco Santonico, Giorgio Pennazza

“…Electrical stimulation can be used in several applications such as fatigue reduction, muscle rehabilitation, neurorehabilitation, neuro-prosthesis and pain relief. …”
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A Hybrid ARIMA-LSTM-XGBoost Model with Linear Regression Stacking for Transformer Oil Temperature Prediction by Xuemin Huang, Xiaoliang Zhuang, Fangyuan Tian, Zheng Niu, Yujie Chen, Qian Zhou, Chao Yuan

“…Experimental results demonstrate the hybrid model’s superiority: In 5000-data-point prediction, it achieves an MSE = 0.9908 and MAPE = 1.9824%, outperforming standalone XGBoost (MSE = 3.2001) by 69.03% in error reduction and ARIMA-LSTM (MSE = 1.1268) by 12.08%, while surpassing naïve methods 1–2 (MSE = 1.7370–1.6716) by 42.94–40.74%. …”
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Generative Adversarial Networks for Climate-Sensitive Urban Morphology: An Integration of Pix2Pix and the Cycle Generative Adversarial Network by Mo Wang, Ziheng Xiong, Jiayu Zhao, Shiqi Zhou, Yuankai Wang, Rana Muhammad Adnan Ikram, Lie Wang, Soon Keat Tan

“…Additionally, CycleGAN-enhanced outputs exhibited a 35% reduction in relative error compared to Pix2Pix-generated images, significantly improving edge preservation and urban feature accuracy. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Llama3 achieved a 20% to 40% reduction in model calls for regression tasks, whereas ChatGPT-3.5 reduced model calls by 60% for both regression and classification tasks, all while preserving accuracy and error rates. …”
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Customizing Computerized Adaptive Test Stopping Rules for Clinical Settings Using the Negative Affect Subdomain of the NIH Toolbox Emotion Battery: Simulation Study by Saki Amagai, Aaron J Kaat, Rina S Fox, Emily H Ho, Sarah Pila, Michael A Kallen, Benjamin D Schalet, Cindy J Nowinski, Richard C Gershon

“…We then contrasted the original rules with fixed-length CATs (4‐12 items), a reduction of the maximum number of items to 8, and other modifications in post hoc analyses. …”
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Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm by Mohit Sharma, Ayush Dogra, Bhawna Goyal, Anita Gupta, Manob Jyoti Saikia

“…Residual noise in the low-rank matrix is then further suppressed through a coefficient-wise linear minimum mean square error LMMSE estimator in the PCA transform domain. …”
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Research on the Transformer Failure Diagnosis Method Based on Fluorescence Spectroscopy Analysis and SBOA Optimized BPNN by Xueqing Chen, Dacheng Li, Anjing Wang

“…Then, the dimensionality reduction techniques of principal component analysis (PCA), kernel principal component analysis (KPCA), and multi-dimensional scale (MDS) are used for further processing. …”
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Experiment and Finite Element Research on Mechanical Performance of Thin-Walled Steel–Wood Composite Columns Under Eccentric Compression by Yangfa Zhu, Jianhua Shao, Anxiang Feng, Xianglan Li, Zhanguang Wang, Hongxuan Xu, Jiajun Gao, Boshi Ma

“…Through a meticulous comparison between the test and finite element analysis results, the error was ascertained to be in the range of 4.9–11.1%. …”
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Experimental modal identification of a pedestrian bridge through drive-by monitoring integrated with shared-mobility vehicles by Kun Feng, David Hester, Su Taylor, Connor O'Higgins, Alan Ferguson, Zuo Zhu, Guang Zou, Myra Lydon, Juliana Early

“…The research presented in this paper explores the feasibility of combining two routes: (1) fleet emissions reduction and (2) transport resilience enhancement, through drive-by monitoring integrated with shared mobility, including electric mobility scooter and bicycle. …”
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A mathematical phase field model predicts superparamagnetic nanoparticle accelerated fusion of HeLa spheroids for field guided biofabrication by Cristian F. Rodríguez, Valentina Quezada, Paula Guzmán-Sastoque, Juan Camilo Orozco, Luis H. Reyes, Johann F. Osma, Carolina Muñoz-Camargo, Juan C. Cruz

“…Increased system complexity introduced slightly higher error variability, but the model maintained robust predictive capabilities. …”
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High Water Level Forecast Under the Effect of the Northeast Monsoon During Spring Tides by Yat-Chun Wong, Hiu-Fai Law, Ching-Chi Lam, Pak-Wai Chan

“…Hindcast using ECMWF forecasts as input reveals that the reduction of mean absolute error (MAE) by adding the anomaly forecast to the existing predicted astronomical tide was as high as 30% in February on average over the whole range of water levels, as well as that compared against the Delft3D forecast in a strong northeast monsoon case. …”
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Effect of statins on venous thromboembolic events: a meta-analysis of published and unpublished evidence from randomised controlled trials. by Kazem Rahimi, Neeraj Bhala, Pieter Kamphuisen, Jonathan Emberson, Sara Biere-Rafi, Vera Krane, Michele Robertson, John Wikstrand, John McMurray

“…However, a more moderate reduction in risk up to about one-fifth cannot be ruled out.…”
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Preliminary insights into the effects of spinal manipulation therapy of different force magnitudes on blood biomarkers of oxidative stress and pro-resolution of inflammation mediat... by Felipe C. K. Duarte, Martha Funabashi, David Starmer, Wania A. Partata

“…However, 800 N appeared to transitorily increase these pro-oxidant parameters with a further transitory reduction in plasma total antioxidant capacity and resolvin D1 mediator. …”
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TREATMENT OF SPASTICITY AND DEGENERATIVE-DYSTROPHIC CHANGES IN MUSCLES IN CHILDREN WITH CEREBRAL PALSY by О. Данилов, О. Шульга

“…Quantitative data were statistically processed using the mean ± standard error (M±m), and statistical significance was determined using Student’s t-test. …”
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Risk coupling analysis of underground gas storage leakage accidents based on dynamic Bayesian network and N-K model by Yao Hu, Zhilong Ding, Liguang Qiao, Feng Gu, Mengqi Yang

“…Additionally, the validation of the proposed model is proven utilizing a three-axiom-based technique.ResultsBy integrating the N-K model’s mutual information metric with DBN’s temporal modeling, the approach achieves a mean absolute error (MAE) of 0.032 in predicting coupling probabilities and enables risk reduction of up to 17.4% through targeted interventions, enhancing the accuracy and actionable insights for UGS safety management. …”
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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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A novel multi-task learning model based on Transformer-LSTM for wind power forecasting by Rongquan Zhang, Siqi Bu, Yuxia Zheng, Gangqiang Li, Xiupeng Wan, Qiangqiang Zeng, Min Zhou

“…Compared to 23 state-of-the-art deterministic models, the proposed model reduces the mean absolute error by a minimum of 0.3174 and a maximum of 9.190, with an average reduction of 2.278. …”
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Lower-Complexity Multi-Layered Security Partitioning Algorithm Based on Chaos Mapping-DWT Transform for WA/SNs by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Ahmed A. F. Youssef, Ali M. El-Rifaie

“…The resource limitations of Low-Power Wireless Networks (LP-WNs), such as Wireless Sensor Networks (WSNs), Wireless Actuator/Sensor Networks (WA/SNs), and Internet of Things (IoT) outdoor applications, restrict the utilization of the error-performance-enhancing techniques and the use of the powerful and robust security tools. …”
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A Novel Approach to Generate Large-Scale InSAR-Derived Velocity Fields: Enhanced Mosaicking of Overlapping InSAR Data by Xupeng Liu, Guangyu Xu, Yaning Yi, Tengxu Zhang, Yuanping Xia

“…In addition, a significant improvement of 30% in RMSE reduction was achieved for some tracks.…”
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