Analysis of Viability of Core Inflation Components Based on Excluded Items in Uganda. by Munyambonera, Ezra, Mukiza, Chris Ndatira, Niyimpa, Ediga Mfite

“…However, the recompiled core index was more precise than the existing core index because the standard error was reduced by 7 percent. In light of the findings, this study recommends a periodical review of the core inflation components based on both volatility and persistence in order to improve estimates.…”
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Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Key metrics included accuracy, Mean Absolute Error (MAE) tolerance, and training loss. An attention heatmap was generated to visualize feature importance. …”
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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

“…<p>Landslide thickness is a key variable in various types of landslide susceptibility models. …”
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Demanda de importaciones en la región Pacífico colombiana: una perspectiva de largo plazo by Andrés Mauricio Gómez-Sánchez, Fabián Enrique Salazar-Villano

“…Para encontrar dichos determinantes y evaluar su comportamiento, se construye y se estima un modelo de demanda de importaciones que incluye un análisis de cointegración y un método de corrección de errores, el cual determina a nivel práctico cuáles son las variables económicas que deben tenerse en cuenta para estimular las importaciones en el Pacífico colombiano. …”
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Estimation of the Visibility in Seoul, South Korea, Based on Particulate Matter and Weather Data, Using Machine-learning Algorithm by Bu-Yo Kim, Joo Wan Cha, Ki-Ho Chang, Chulkyu Lee

“…Through learning and validation of each ML algorithm, the extreme gradient boosting (XGB) algorithm was found to be most suitable for visibility estimations (bias = 0 km, root mean square error (RMSE) = 0.08 km, and r = 1 for training data set). …”
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SCOLIOSIS ASSESSMENT VIA TELEHEALTH USING PHOTOGRAMMETRY: DEVELOPMENT AND ACCURACY by ISIS JULIENE RODRIGUES LEITE NAVARRO, ERIC PARENT, JEFFERSON FAGUNDES LOSS, CLÁUDIA TARRAGÔ CANDOTTI

“…ABSTRACT The aim of this study was to present the development and assessment of the measurement accuracy of variables obtained with the Digital Imaged-based Postural Assessment (DIPA©) Capture app and Analysis software as part of a telehealth assessment protocol for idiopathic scoliosis. …”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

“…Feature importance analysis identifies the key clinical variables hemoglobin and blood urea, and key comorbidities hypertension and diabetes mellitus, in agreement with previous studies. …”
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Landing Technique and Ankle-dorsiflexion Range of Motion are not Associated with the History of Lower Limb Injuries among Youth Basketball Athletes by Luiz Augusto Borges Gomes, Ronaldo Alves da Cunha, Alexandre Dias Lopes, Fábio Andrelino de Souza, Felipe Cruvinel Costa, Carlos Vicente Andreoli

“…Binary logistic regression was utilized to examine the association of the investigated variables with the presence of history of lower limb injuries among the athletes…”
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The Effect of Hospital Boarding on Emergency Medicine Residency Productivity by Peter Moffett, Al Best, Nathan Lewis, Stephen Miller, Grace Hickam, Hannah Kissel-Smith, Laura Barrera, Scott Huang, Joel Moll

“…Introduction: Emergency department boarding has escalated to a crisis, impacting patient care, hospital finances, and physician burnout, and contributing to error. No prior studies have examined the effects of boarding hours on resident productivity. …”
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Antecedents of Traveller Identification and Satisfaction As a Consequence of Traveller Decisions by Muhammad Aqsa, Aetken Ibrahim, Suparman Parintak, Anne Attas

“…The sample consisted of 100 respondents, with using the margin of error (MOE) formula. The data that has been collected will be subjected to verification and descriptive analysis with statistical tool SmartPLS. …”
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Estimación de la radiación solar global en la provincia de Córdoba, Argentina, y su empleo en un modelo de rendimiento potencial de papa by A. De La Casa, G. Ovando, A. Rodríguez

“…Las expresiones que utilizan la heliofanía (A-P) o la nubosidad (B) como variables independientes producen individualmente mejores estimaciones de la radiación solar que las basadas en la amplitud térmica o su combinación con la precipitación. …”
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Generación de residuos sólidos urbanos municipales y su relación con un indicador de ingreso municipal en México (años 2010 y 2015) by Sergio Gabriel Ceballos Pérez, Ramiro Flores-Xolocotzi

“…[Metodología]: Para ello se empleó como variable independiente el ingreso per cápita anual municipal en dólares expresados como paridades de poder de compra. …”
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¿Qué es lo primero: el crecimiento del PIB o la inversión? El caso de una economía pequeña y abierta by Gabriela Mordecki, Lucía Ramírez

“…El impacto de la inversión en el crecimiento y el empleo han sido estudiadas en profundidad, con resultados empíricos que apoyan que la inversión precede el crecimiento, como la causalidad inversa.Métodos: A través de un modelo de vectores con corrección de error (VECM por sus siglas en inglés) se analiza el PIB sin actividad primaria, la inversión y el empleo urbano en Uruguay.Resultados: Con base en este modelo, observamos que hay una relación positiva entre el PIB y las otras dos variables, y que en ella el PIB precede tanto a los trabajadores urbanos como a la inversión.Conclusiones: La relación entre el empleo y la inversión no es tan clara y, en algunos casos, parece ser negativa, lo que podría estar mostrando un fenómeno de inversión ahorradora de trabajo, o inversión en sectores menos intensivos en mano de obra. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…A total population of 342 people was used at a confidence level of 95% or an error of 0.05 and the sample size was 184 respondents who involved the staff and members taken from the six SACCOs registered in Kiruhura district, Uganda as of January 2023. …”
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The Effect of Board Risk Management on Financial Performance of Selected Saccos in Kiruhura District, Uganda. by Kyabarong, Benon, Agaba, Moses, Munyabonera, Francisis, Byamukama, Eliab Mpora, Kikawa, Cliff, Ahabwe, Oliver

“…A total population of 342 persons was used at a confidence level of 95% or an error of 0.05. Two stages separated the data that was collected for analysis. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…A total population of 342 people was used at a confidence level of 95% or an error of 0.05 and the sample size was 184 respondents who involved the staff and members taken from the six SACCOs registered in Kiruhura district, Uganda as of January 2023. …”
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Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

“…While habitat composition and planting strategies offer substantial localized benefits, their variability necessitates tailored interventions informed by specific ecological and social contexts. …”
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Time series forecasting of Valley fever infection in Maricopa County, AZ using LSTMResearch in context by Xueting Jin, Fangwu Wei, Srinivasa Srivatsav Kandala, Tejas Umesh, Kayleigh Steele, John N. Galgiani, Manfred D. Laubichler

“…Besides weather and climate variables, we examined the impact of people's lifestyle change during COVID-19. …”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…Among the 4 models, model IBE exhibited the best performance, achieving the coefficient of determination of 0.72, with mean absolute error, mean absolute percentage error, and root-mean-square error values of 0.33, 15.9%, and 0.43, respectively, in the test set. …”
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Model Evaluasi Usability Menggunakan Confirmatory Factor Analysis pada KRS Online by Endah Ratna Arumi, Pristi Sukmasetya, Agus Setiawan

“…Results of usability measurement found that the highest value on the variable "Memory" with an average value of 4.19, and the lowest value on "Error" with an average value of 2.9 within 5 scale. …”
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