Hemorrhagic syndrome at liver cirrhosis by I. A. Kurkina, O. S. Volkova, M. V. Mayevskaya, V. T. Ivashkin

“…The relation to prescription of components of blood is cautious now, there are no definite indications to their application and criteria of efficacy.Conclusion. The problem of prediction of hemorrhagic complications in patients with LC by modern laboratory tests remains open. …”
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Prediksi Rating Film IMDb Menggunakan Decision Tree by Rifqy Rosdiyah Ilmi, Fachrul Kurniawan, Sri Harini

“…Prediction of movie ratings values can be modeled through machine learning using the decision tree model. …”
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Tropical cyclone intensity estimation based on YOLO-NAS using satellite images in real time by Priyanka Nandal, Prerna Mann, Navdeep Bohra, Ghadah Aldehim, Asma Abbas Hassan Elnour, Randa Allafi

“…Satellite images serve a crucial role in weather prediction, particularly in assessing the strength of tropical storms such as cyclones. …”
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The large-scale whole-genome sequencing era expedited medical discovery and clinical translation by Qingxin Yang, Shuhan Duan, Yuguo Huang, Chao Liu, Mengge Wang, Guanglin He

“…Coupled with the widespread adoption of electronic health records, wearable devices, and AI, the translation of these findings into clinical practice has been established for disease prediction, surveillance, and treatment across the lifespan. …”
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TRANSITION IN THE FRETTING PHENOMENON by Stefan GHIMISI

“…Obviously the partial slip transition develops the highest stress levels which can induce fatigue crack nucleation depending on the fatigue properties of the two contacting first bodies. Therefore prediction of the frontier between partial slip and gross slip is required. …”
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INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS by COSMIN - CONSTANTIN GRIGORAȘ, ȘTEFAN COȘA, VALENTIN ZICHIL

“… In order to predict defects, improve performance, and streamline operations, machine learning techniques are becoming ever more indispensable in manufacturing processes, mainly in sheet metal forming. …”
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Effects of manual osteopathic interventions on psychometric and psychophysiological indicators of anxiety, depression and stress in adults: a systematic review and meta-analysis of... by Darren J Edwards, Jerry Draper-Rodi, Danny Miller, Josh Hope-Bell, Andrew MacMillan, Tom C Gordon

“…Random-effects models accounted for heterogeneity, and prediction intervals were calculated to assess uncertainty in effect estimates.Results 20 RCTs were included. …”
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The Influence of Political Connections on the Cost of Capital and the Performance of Companies Listed on B3 by Jaison Caetano da Silva, Wlamir Gonçalves Xavier, Cinara Gambirage, Silvio Parodi Oliveira Camilo

“…Our findings do not corroborate the theoretical and intuitive prediction that “crony capitalism” reduces the cost of capital and improves the performance of companies, since we did not obtain empirical evidence that allows affirming that the effect of donations on the cost of capital and the performance of connected companies is different from zero.…”
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The Use of Big Data to Improve Human Health: How Experience From other Industries Will Shape the Future by Timothy E Hewett, Greg Olsen, Mark Atkinson

“…This commentary discusses what those differences are (Project vs Product Focus, Independent vs Integrated Efforts, Causality vs Prediction Driven, Statistical vs Machine Learning Centricity) why they exist, and the future convergence that we believe is on the horizon. …”
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The Impact of p53 and Ki67 Expression in Endometrial Cancer and its Effect on Survival by Zekiye Sahin, Burak Bayraktar, Tugba Karadeniz, Muzaffer Sanci

“…CONCLUSION: p53 and Ki67 can be new markers for the prediction of prognosis and duration in endometrial cancer. …”
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Prediksi Mahasiswa Drop-Out Di Universitas XYZ by Tubagus Ahmad Marzuqi, Evelline Kristiani, Marcel

“…The results indicate that the predictive model using the Random Forest algorithm achieved an accuracy of 99.67%. …”
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Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis by Zikun Huang, Qing Luo, Cuifen Xiong, Haiyan Zhu, Chao Yu, Jianqing Xu, Yiping Peng, Junming Li, Aiping Le

“…The test cohort exhibited a sensitivity of 75.8% and a specificity of 91.2%. Within the prediction group, the sensitivity and specificity were 73.1% and 92.5%, respectively. …”
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A physically-based formulation for texture evolution during dynamic recrystallization. A case study of ice by Chauve, Thomas, Montagnat, Maurine, Dansereau, Véronique, Saramito, Pierre, Fourteau, Kévin, Tommasi, Andréa

“…However, this prediction remains a challenge.We propose a new formulation for modeling texture evolution due to dynamic recrystallization on the basis of observations of the evolution of the microstructure and texture of ice deforming by dislocation creep and dynamic recrystallization. …”
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Bioinformatics insights into mitochondrial and immune gene regulation in Alzheimer's disease by Tian Meng, Yazhou Zhang, Yuan Ye, Hui Li, Yongsheng He

“…Subsequently, we further analyzed the signaling pathways and potential biological mechanisms of the biomarkers through gene set enrichment analysis, prediction of transcription factors (TFs), miRNAs, and drug prediction. …”
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Insolvency in Brazilian Football Clubs: Proposition of Models Based on Neural Networks by Fábio Minatto, José Alonso Borba

“…Existing models seek to predict insolvency for organizations in different sectors, but only recently have they been developed for European clubs. …”
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Advances in the Application of New Ultrasound Technology for the Diagnosis and Treatment of Lymphoma by Bao Rui, Chen Lu, Luo Yukun, Zhang Mingbo

“…In addition, we review the biological basis of US prediction of lymphoma and provide an outlook for future research directions.…”
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On nonparametric conditional quantile estimation for non-stationary spatial processes by Kanga, Serge Hippolyte Arnaud, Hili, Ouagnina, Dabo-Niang, Sophie

“…A kernel conditional quantile estimate of a real-valued non-stationary spatial process is proposed for a prediction goal at a non-observed location of the underlying process. …”
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How to Avoid Common Problems with Leaf Wetness Sensor Installation and Maintenance by Thiago Borba Onofre, Clyde W. Fraisse, Natalia A. Peres, Janise McNair

“… Leaf wetness duration is an essential input in disease prediction models and decision support systems in Florida and elsewhere. …”
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Dual-channel attribute graph clustering beyond the homogeneity assumption by AN Junxiu, LIU Yuan, YANG Linwang

“…A mixture of Gaussian models was used to predict the homogeneity of node connections and two views of homogeneous and heterogeneous were built, based on this prediction to capture low-frequency and high-frequency information in the graph from different perspectives. …”
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How to Avoid Common Problems with Leaf Wetness Sensor Installation and Maintenance by Thiago Borba Onofre, Clyde W. Fraisse, Natalia A. Peres, Janise McNair

“… Leaf wetness duration is an essential input in disease prediction models and decision support systems in Florida and elsewhere. …”
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