Predicting Scientific Research Impacts in Biotechnology by Machine Learning Algorithms by Ghasem Azadi Ahmadabadi

“…purpose: Research impact is a key concern for stakeholders, as it reflects the beneficial and profitable applications of research across multiple dimensions, including society, economy, environment, culture, and health. This study aims to analyze the interrelationships among variables influencing scientific outputs and to identify the most effective machine learning algorithms for predicting their scientific, social, and economic impacts.Methodology: The current research is applied in purpose and descriptive in method, utilizing a scientometric approach. …”
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Perubahan Hematologi Ikan Mas Komet (Carassius auratus auratus) Akibat Infestasi Argulus japonicus Jantan Dan Argulus japonicus Betina <Br><I>[Hematologic Changes Comet Goldfish... by Kismiyati Kismiyati, Laksmi Sulmartiwi, Norma Isnawati

“…Ectoparasites are one cause of the declining value of the commodity selling ornamental fish in Indonesia. …”
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AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients by Jose Manuel Ruiz Giardin, Óscar Garnica, Nieves Mesa Plaza, Juan Víctor SanMartín López, Ana Farfán Sedano, Elena Madroñal Cerezo, Miguel Ángel Duarte Millán, Aida Izquierdo Martínez, Luis Rivas, Marta Rivilla, Alejandro Morales Ortega, Begoña Frutos Pérez, Cristina De Ancos Aracil, Ruth Calderón, Guillermo Soria Fernandez, Jorge Marrero Francés, David Bernal Bello, Jose Ángel Satué Bartolomé, María Toledano Macías, Sara Piedrabuena García, Marta Guerrero Santillán, Rafael Cristóbal, Belen Mora, Laura Velázquez Ríos, Vanesa García de Viedma, Paula Cuenca Ruiz, Ibone Ayala Larrañaga, Lorena Carpintero, Celia Lara, Alvaro Ricardo Llerena, Virginia García Bermúdez, Gema Delgado Cárdenas, Paloma Pardo Rovira, Elena Tejero Sánchez, Maria Jesús Domínguez García, Carolina Mariño, Cristina Bravo, Ana Ontañon, Mario García, Jose Ignacio Hidalgo Pérez, Santiago Prieto Menchero, Natalia González Pereira, Sonia Gonzalo Pascua, Jorge Tarancón Rey, Luis Antonio Lechuga Suárez

“…ResultsThe best mortality predictor achieved an area under the receiver operating characteristic curve (AUC) of 0.92, sensitivity of 0.89, specificity of 0.82, positive predictive value (PPV) of 0.35, and mean negative predictive value (NPV) of 0.98. …”
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The nexus between CO2 emissions, renewable energy consumption, foreign direct investment, and economic growth: evidence across different income groups of countries by Jean Vasile Andrei, Daniel Ștefan Armeanu, Ștefan Cristian Gherghina, Camelia Cătălina Joldeș

“…By categorizing countries based on income levels, the research analyzes the interactions among variables such as CO _2 emissions, foreign direct investments (FDI), labor force, industrial value-added, and gross capital formation. …”
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Accuracy of Predictive Equations for Metabolizable Energy Compared to Energy Content of Foods for Dogs and Cats Estimated by In Vivo Methods in Brazil by Pedro Henrique Marchi, Andressa Rodrigues Amaral, Leonardo de Andrade Príncipe, Larissa Wünsche Risolia, Mariana Fragoso Rentas, Ana Beatriz Fasolai, Rafael Vessecchi Amorim Zafalon, Gabriela Luiza Fagundes Finardi, Juliana Toloi Jeremias, Raquel Silveira Pedreira, Júlio Cesar de Carvalho Balieiro, Thiago Henrique Annibale Vendramini

“…In total, 451 pet food products in Brazil were evaluated. The ME values were determined via the bromatological values available on labels. …”
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Sustainability-driven application of waste steel and tyre rubber fibres as reinforcement in concrete: An optimization study using response surface methodology by M.A. Kareem, E.O. Ajadi, O.O. Fadipe, K. Ishola, O.A. Olawuyi, S.A. Ayanlere, O.J. Olatoyan, J.O. Adeosun, A.A. Adefajo, A.T. Oyewo, S.O.A. Olawale, W.A. Lamidi

“…The RSM was used to evaluate the interaction between the concrete variables and identify their optimum combination which gave the peak values of responses. …”
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Grupos de usuarias del mercado deportivo femenino (Groups of users in the women sports market) by Mónica Haro-González, Raquel Pérez-Ordas, Marta Leyton-Román, Alicia Caamaño-Guadix, Alberto Nuviala

“…Therefore, sports and fitness centres exclusive to women have appeared in the market. The aims of this study were to segment women who do physical-sports activities in sports centres, using different kinds of motivation (intrinsic, integrated, identified, introjected, external and lack of motivation) as a grouping variable, and to verify the differences among users who attend mixed centres and those who go to exclusive female centres. …”
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Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators. by Girmaw Abebe Tadesse, Laura Ferguson, Caleb Robinson, Shiphrah Kuria, Herbert Wanyonyi, Samuel Murage, Samuel Mburu, Rahul Dodhia, Juan M Lavista Ferres, Bistra Dilkina

“…Different metrics, mainly Area Under Receiver Operating Characteristic Curve (AUC), were used to evaluate the forecasting performance by comparing their forecast values to known values on a hold-out test set.<h4>Results</h4>We found that machine learning based models consistently outperform the Window Average baselines on forecasting sub-county malnutrition rates in Kenya. …”
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Intracycle Velocity Variation During a Single-Sculling 2000 m Rowing Competition by Joana Leão, Ricardo Cardoso, Jose Arturo Abraldes, Susana Soares, Beatriz B. Gomes, Ricardo J. Fernandes

“…Rowing is a cyclic sport that consists of repetitive biomechanical actions, with performance being influenced by the balance between propulsive and resistive forces. The current study aimed to assess the relationships between intracycle velocity variation (IVV) and key biomechanical and performance variables in male and female single scullers. …”
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Critical success factors of co-innovation platforms: a systematic literature review by Elif Ozturk, Hande Bahar Turker, V. Aslihan Nasir

“…To address this gap, this research aims to identify the critical success factors of co-innovation platforms and provide an extensive analysis of the variables that determine their effectiveness. …”
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Arterial hypertension and myocardial electric heterogeneity in patients with coronary heart disease by L. A. Leshchinsky, B. L. Multanovsky, A. G. Petrov, S. B. Ponomarev

“…Aim. To investigate dynamics of QT interval variability during physical stress (PS) test in coronary heart disease (CHD) patients with various stages of arterial hypertension (AH). …”
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Comparative Evaluation of Dexmedetomidine-Ketamine versus Ketamine-Propofol for Procedural Sedation during Dilatation and Curettage: A Prospective Randomized Double-Blind Study by Ankita Kaasat, Sakshi Thakore, Nirdesh Thakore, Mohan K. Nalliboyina, Suman Kaushik

“…Background and Aims: Dilatation and curettage (D and C) is commonly performed as a daycare procedure under procedural sedation. …”
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The Role of Accounting Learning in Forming Financial Attitudes and Its Contribution to the Level of Financial Management of Bidikmisi Students by Kuswanto Kuswanto, Neneng Anjarwati

“…The resulting path model is very suitable in explaining the effect of accounting learning variables on students' financial management through financial attitude variables based on GFI values> 0.95. …”
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Assessing Factors Influencing Drug Interactions: Insights from Healthcare Practitioners at a North Indian Tertiary Care Hospital by Himani Deswal, Sarita Goyal

“…The frequency of response was calculated in percentage for the categorical variables. The chi-square test was used to examine the association between variables. …”
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Dental Teaching Faculty Involvement in Research Activities by Dolar Doshi, Jagadeeswara Rao Sukhabogi, Jenisha Patel, D Satyanarayana, Parupalli Karunakar

“…The association of demographic variables and professionally related variables with the perception of R&D culture and participation in research activities was assessed using the Chi-square test. …”
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The Influence of Financial Knowledge, Financial Attitude, Financial Self-Efficacy, Financial Well-Being, and Impulsive Buying on Saving Behavior Among Working People in Kubu Raya R... by Lisa Amalia, Dedi Heriyanto, Heni Safitri

“…The coefficient of determination shows a value of 0.618, meaning that 61.8% indicates that saving behavior is influenced by financial knowledge, financial attitude, financial self-efficacy, and impulsive buying, while 38.2% is attributed to other variables not examined in this study. …”
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The Influence of Environmental Factors on the Diversity of Gastropods in Marsegu Island, Maluku by Wiwien Bula, Fredy Leiwakabessy, Dominggus Rumahlatu

“…The simultaneous effect of the independent variables toward the dependent variables can be explained by the magnitude of the determination coefficient (</span><em><span lang="EN-GB">R Square</span></em><span lang="EN-GB">) which was 0528 or 52.8%. …”
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Efecto del ecosistema de big data en la gestión del conocimiento y el diseño organizativo: caso de estudio exploratorio en el sector de los biocombustibles by Erik Daniel Maldonado Ascanio, Francisco Balbastre Benavent

“… This paper aims to investigate the factors that are crucial for organizations to acquire the necessary resources and capabilities to extract value from big data. …”
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Utilization of machine learning to predict antibiotic resistant event outcomes in acute myeloid leukemia patients undergoing induction chemotherapy by Stephanie McMahon, Samantha Franklin, Jessica Galloway-Peña

“…Additionally, sparse canonical correlation analysis assessed correlations between microbiome and resistome data, while Spearman correlation networks identified direct associations with AR event outcomes and secondary variables.ResultsAR-events were identified in 14 of the 95 included patients, with 8 developing AR infections and 9 identified as AR colonized. …”
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Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm by Puguh Hasta Gunawan, Irving Vitra Paputungan

“…For further development, it is recommended to include additional variables such as psychological factors, learning motivation, and socioeconomic conditions. …”
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