The use of serious games for psychological education and training: a systematic review by Antonio Pio Facchino, Daniela Marchetti, Marco Colasanti, Lilybeth Fontanesi, Maria Cristina Verrocchio

Subjects: “…serious game…”
Get full text

Gait kinematics at trot before and after repeated ridden exercise tests in young Friesian stallions during a fatiguing 10-week training program by Esther W. Siegers, Jeanne I. M. Parmentier, Jeanne I. M. Parmentier, Marianne M. Sloet van Oldruitenborgh-Oosterbaan, Carolien C. B. M. Munsters, Filipe M. Serra Bragança

Subjects: Get full text

Experimental dynamos: from models to applications to the geodynamo by Pétrélis, François

Subjects: Get full text

L’agrobiodiversité du dattier (Phoenix dactylifera L.) dans l’oasis de Siwa (Égypte) by Vincent Battesti

Subjects: Get full text

Distribución lumínica en diferentes combinaciones portainjerto/variedad en manzana CV. Mondial Gala y su efecto sobre la calidad de la fruta y parámetros vegetativos by M. D. Raffo, R. Rodríguez, A. Rodríguez

Subjects: Get full text

Comparison of Spatiotemporal Gait Variables Between Healthy Individuals and Patients with Heel Spur During Walking by Mohamad amin Shahbazi, Ali Jalalvand

Subjects: “…spatiotemporal gait parameters…”
Get full text

Wildlife of Florida Factsheet: Northern Bobwhite Quail by Tyler Buckley, Raoul K. Boughton

Subjects: Get full text

Fluid dynamics of planetary differentiation by Deguen, Renaud, Huguet, Ludovic, Landeau, Maylis, Lherm, Victor, Maller, Augustin, Wacheul, Jean-Baptiste

Subjects: “…Early earth…”
Get full text

THE USE OF ARTIFICIAL INTELLIGENCE IN FINANCIAL ADVISORY by David Michelini

Subjects:

Klasifikasi Intensi dengan Metode Ling Short-Term Memory pada Chatbot Bahasa Indonesia by Faiz Aulia Al Farisi, Rizal Setya Perdana, Putra Pandu Adikara

Subjects: Get full text

Laboratory Measurement of CH317OH Transitions in the Frequency Range from 216 to 264 GHz for Astronomical Application by Akemi Tamanai, Takahiro Oyama, Yoshimasa Watanabe, Takeshi Sakai, Riouhei Nakatani, Shaoshan Zeng, Isabelle Kleiner, Nami Sakai

Subjects: Get full text

The Role of Faith Bases Organizations in Enhancement of the Social Welfare Among the Rural Poor Households in Nyamweru sub-county, Kabale district; A case Study of Caritas Kabale diocese. by Hategekimana, Donisian

Subjects: “…Faith, Organizations, Enhancement, Social, Welfare,Poor Household.…”
Get full text

Organizational Internal Factors and Sustainable Performance: A Serial Mediation Model by Faisal Ejaz, Sidra Abid, Aemin Nasir, Jorge Alberto Esponda-Pérez, Sarmad Ejaz, Md Billal Hossain

Subjects: “…big data analytics capability…”
Get full text

Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error by Maaike Walraad, Jonas Klingwort, Joep Burger

Subjects: “…weigh-in-motion sensor data…”
Get full text

Measuring market efficiency using factor models - An empirical study on the Ho Chi Minh Stock Exchange by Phạm Hoàng Thạch

Subjects: “…danh mục mô phỏng rủi ro…”
Get full text

Real-World Treatment Patterns, Survival, and Costs for Ovarian Cancer in Canada: A Retrospective Cohort Study Using Provincial Administrative Data by Manjusha Hurry, Shazia Hassan, Soo Jin Seung, Ryan N. Walton, Ashlie Elnoursi, Jacob D. McGee

Get full text

Association of per- and polyfluoroalkyl substances with gout risk: a cross-sectional analysis of NHANES 2007–2018 data emphasizing mixture effects by Haixin Feng, Siran Li, Shiqing Huang, Linxi He, Ruihao Huang, Renhuizi Wei, Xin Peng, Haiyi Yan, Chongxiang Xiong, Bingsong Zhang

“…ObjectiveThis study examined associations between serum concentrations of per- and polyfluoroalkyl substances (PFASs) and gout risk in the U.S. adult population using the National Health and Nutrition Examination Survey (NHANES) 2007–2018 data. And assessing the potential intermediary effect of uric acid.MethodsThe study included 8,494 participants, with 385 having gout. …”
Get full text

Klasifikasi Tingkat Stress dari Data Berbentuk Teks dengan Menggunakan Algoritma Support Vector Machine (SVM) dan Random Forest by Naufal Fathirachman Mahing, Alifi Lazuardi Gunawan, Ahmad Foresta Azhar Zen, Fitra Abdurrachman Bachtiar, Satrio Agung Wicaksono

“…The total data used is 8439 data. Model training for both Support Vector Machine and Random Forest uses 6751 data. …”
Get full text