Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study by Hannington Ssemmanda, Tonny Stone Luggya, Clare Lubulwa, Zeridah Muyinda, Pascal Kwitonda, Humphrey Wanzira, Joseph Ejoku

“…MEWS was a good predictor of mortality (predictive value = 0.6739). Conclusion. Trauma (31%) caused most ICU admissions, having an abnormal admission chest X-rays positively associated with mortality and a high MEWS was also a good predictor of mortality.…”
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Effect of Zr on inclusions and microstructure of non-quenched and tempered steel F38MnVS by Yucheng Wang, Yang Li, Zhouhua Jiang, Meng Sun, Shuai Ma, Yunqie Mao, Yanshuo Ma, Tianci Li, Dengyunfei Nie, Rui Yang

“…By evaluating the mismatch degree, the mismatch degree between ZrO2 and α-Fe is predicted to be 6.9%, so it can be utilized as an effective heterogeneous nucleation core to induce α-Fe nucleation. …”
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Interaction Between Malat1 and miR-499-5p Regulates Meis1 Expression and Function with a Net Impact on Cell Proliferation by Salma A. Fahim, Manon Ragheb, Ibrahim Hassan Fayed, Aya Osama, Ahmed Karam, Sameh Magdeldin, Rana Metwale, Mohamed Dief Allah Abdalmoneam Elsayed, Ahmed Abdellatif, Hesham A. Sadek, Shereen Ahmed El Sobky, Nada El-Ekiaby, Injie Omar Fawzy, Ahmed Ihab Abdelaziz

“…In this study, we used in silico analysis to predict that miR-499-5p targets Meis1 and that Malat1 sponges miR-499-5p. …”
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Correlation of Oncotype DX Recurrence Score with Histomorphology and Immunohistochemistry in over 500 Patients by Matthew G. Hanna, Ira J. Bleiweiss, Anupma Nayak, Shabnam Jaffer

“…The RR is divided into low (0–17), intermediate (18–30), and high (31) to predict chemotherapy benefit. Our goal was to determine the association between histomorphology, immunohistochemistry, and RR. …”
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Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva, Vyacheslav L. Goiko, Vitaliy V. Kashpur

“…Additionally, the machine learning pipeline incorporated stacking to combine predictions from multiple models, enhancing robustness and classification performance. …”
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Evaluating Mechanical Properties of Few Layers MoS2 Nanosheets-Polymer Composites by Muhammad Bilal Khan, Rahim Jan, Amir Habib, Ahmad Nawaz Khan

“…The composites formation is confirmed using X-ray diffraction (XRD) and scanning electron microscopy (SEM). Theoretical predicted results (Halpin-Tsai model) are well below the experimental findings, especially at lower concentrations. …”
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Does the seed fall far from the tree? Weak fine-scale genetic structure in a continuous Scots pine population by Niskanen, Alina K., Kujala, Sonja T., Kärkkäinen, Katri, Savolainen, Outi, Pyhäjärvi, Tanja

“…Detailed empirical estimates of dispersal are necessary both in studying post-glacial recolonization and predicting the response of forest trees to climate change.…”
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Novel numerical and artificial neural computing with experimental validation towards unsteady micropolar nanofluid flow across a Riga plate by Muhammad Bilal, F. Maiz, Muhammad Farooq, Hijaz Ahmad, Mohammad Khalid Nasrat, Hassan Ali Ghazwani

“…The UMNF flow model is validated, tested, and trained with an average numerical error of 10−9, ensuring high accuracy in energy, velocity, microorganism motility, and concentration predictions.…”
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Nonlinear responses of ecosystem carbon fluxes to precipitation change in a semiarid grassland by Hua Chai, Hua Chai, Jianying Ma, Jinwei Zhang, Junqin Li, Bo Meng, Chengliang Wang, Duofeng Pan, Jie Li, Wei Sun, Xuhui Zhou

“…Considering this nonlinear response, it is crucial to improve dynamic models of the C cycle and predict ecosystem responses to precipitation variability.…”
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Theoretical Insight into the Spectral Characteristics of Fe(II)-Based Complexes for Dye-Sensitized Solar Cells—Part I: Polypyridyl Ancillary Ligands by Xiaoqing Lu, Shuxian Wei, Chi-Man Lawrence Wu, Ning Ding, Shaoren Li, Lianming Zhao, Wenyue Guo

“…Molecular geometries, electronic structures, and optical absorption spectra are predicted in both the gas phase and methyl cyanide (MeCN) solution. …”
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Self-Reported Executive Functioning in Everyday Life in Parkinson’s Disease after Three Months of Subthalamic Deep Brain Stimulation by Uyen Ha Gia Pham, Stein Andersson, Mathias Toft, Are Hugo Pripp, Ane Eidahl Konglund, Espen Dietrichs, Ulrik Fredrik Malt, Inger Marie Skogseid, Ira Ronit Hebolt Haraldsen, Anne-Kristin Solbakk

“…Only preoperative depressed mood had predictive value to the improvement of executive function and appears to prevent potentially favorable outcomes from STN-DBS on some aspects of executive function. …”
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Integrated Recycling and The Impact of Plastic Waste from Industry and Agriculture on The Environment by Anar Zhumadilova, Saule Zhigitova, Maira Turalina, Kuralay Aitekova

“…The purpose of this study is to analyse various scenarios for predicting the impact of plastic waste from industry and agriculture on the environment in the period from 2019 to 2030. …”
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Chromosome-scale genome assembly of three-spotted seahorse (Hippocampus trimaculatus) with a unique karyotype by Ning Li, Xinhui Zhang, Xin Liu, Xueqiang Lin, Cancan Hu, Jieming Chen, Shengchao Wang, Dong Zhang, Shuguang Wei, Qiong Shi

“…Moreover, a total of 18,712 protein-coding genes were annotated, of which 96.36% could be predicted with functions. Based on construction of a phylogenetic tree, we estimated that Hippocampus and Syngnathoides diverged approximately 50.1 million years ago (Mya). …”
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A −11.6-dBm OMA Sensitivity 0.55-pJ/bit 40-Gb/s Optical Receiver Designed Using a 2-Port-Parameter-Based Design Methodology by Yongxin Li, Tianyu Wang, Mostafa Gamal Ahmed, Ruhao Xia, Kyu-Sang Park, Mahmoud A. Khalil, Sashank Krishnamurthy, Zhe Xuan, Ganesh Balamurugan, Pavan Kumar Hanumolu

“…The simulated TIA performance closely matches the results predicted by the design methodology, validating its accuracy and effectiveness. …”
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Hydrologic responses of watershed assessment to land cover and climate change using soil and water assessment tool model by R.C.C. Puno, G.R. Puno, B.A.M. Talisay

“…Predicting the impact of land cover and climate change on hydrologic responses using modeling tools are essential in understanding the movement and pattern of hydrologic processes within the watershed. …”
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Methodology for assessing the agroecological adaptability of genotypes under global climate warming by A. I. Kincharov, E. A. Demina, M. N. Kincharova, T. Yu. Taranova, O. S. Mullayanova, K. Yu. Chekmasova

“…The relevance of the research is due to the fact that, despite the breeding achievements in releasing cultivars with high potential yield and resistance to the most common stressors in the regions, it is almost impossible to foresee and accurately predict the reaction of cultivars under production conditions. …”
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A thermodynamic description of metastable c-TiAlZrN coatings with triple spinodally decomposed domains by Zhou J., Zhang L., Chen L., Du Y., Liu Z.K.

“…Based on the present thermodynamic description, different phase diagrams and thermodynamic properties can be easily predicted. It is anticipated that the present thermodynamic description of the metastable c-TiAlZrN coatings can serve as the important input for the later quantitative description of the microstructure evolution during service life.…”
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Investigating the Allelopathic and Bioherbicidal Potential of <i>Solidago altissima</i> with a Focus on Chemical Signaling in <i>Trifolium repens</i> by Ho-Jun Gam, Arjun Adhikari, Yosep Kang, Md. Injamum-Ul-Hoque, Shifa Shaffique, Ji-In Woo, Jin Ryeol Jeon, Byeong-Kwan An, Min Young Back, Ki-Yong Kim, Sang-Mo Kang, In-Jung Lee

“…Gas chromatography-mass spectrometry analysis of <i>S. altissima</i> root extract identified a high concentration of methyl kolavenate, a clerodane diterpene predicted to act as a phytotoxic agent. These findings highlight the potential of <i>S. altissima</i> for the development of crop-protective agents while emphasizing its potential risks in agriculture.…”
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Global Sensitivity Analysis and Uncertainty Quantification for Background Solar Wind Using the Alfvén Wave Solar Atmosphere Model by Aniket Jivani, Nishtha Sachdeva, Zhenguang Huang, Yang Chen, Bart van derHolst, Ward Manchester, Daniel Iong, Hongfan Chen, Shasha Zou, Xun Huan, Gabor Toth

“…However, reliable long‐term predictions of CME events require uncertainty quantification (UQ) and data assimilation. …”
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Assessment of Nutritional Status, Digestion and Absorption, and Quality of Life in Patients with Locally Advanced Pancreatic Cancer by J. E. Witvliet-van Nierop, C. M. Lochtenberg-Potjes, N. J. Wierdsma, H. J. Scheffer, G. Kazemier, K. Ottens-Oussoren, M. R. Meijerink, M. A. E. de van der Schueren

“…Measured REE was 33% higher (P=0.002) than predicted REE. TEE was significantly higher than daily energy intake (P=0.047). …”
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