Elucidating the molecular basis of salt tolerance in potatoes through miRNA expression and phenotypic analysis by Caicai Lin, Shuangshuang Zheng, Kui Liu, Ru Yu, Peiyan Guan, Baigeng Hu, Lingling Jiang, Mengyu Su, Guodong Hu, Qingshuai Chen, Xia Zhang

“…Transcriptome analysis of the highly tolerant variety Z1076-1 identified 68 differentially expressed miRNAs (DE miRNAs). qRT-PCR validation for eight randomly selected DE miRNAs confirmed consistent expression trends with transcriptome data. Predicted target genes of these miRNAs are involved in calcium channel signaling, osmotic regulation, plant hormone signaling, and reactive oxygen species clearance. …”
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Climate Warming Controls Vegetation Growth with Increasing Importance of Permafrost Degradation in the Northern Hemisphere During 1982–2022 by Yadong Liu, Xiaodong Wu, Tonghua Wu, Guojie Hu, Defu Zou, Yongping Qiao, Xianhua Wei, Xiaoying Fan, Xuchun Yan

“…However, the quantitative analysis of climate and permafrost remains largely unknown, hindering our ability to predict future vegetation changes in permafrost regions. …”
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Dynamics of blackleg epizootic process in the Republic of Kazakhstan by A. Abutalip, B. D. Aitzhanov, A. K. Mussayeva, V. Yu. Sushchikh, N. N. Yegorova, Ye. K. Ospanov, M. A. Berdikulov, K. A. Kalkabayev, N. Matikhan

“…The research results will help to improve the system of blackleg surveillance, to predict the disease spread in animals and can be used to develop anti-epizootic measures.…”
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The mediating effect of self-efficacy and physical activity with the moderating effect of social support on the relationship between negative body image and depression among Chines... by Ye Yuan, Yanling Tu, Yuqi Su, Lei Jin, Yu Tian, Xuesong Chang, Ke Yang, Haiyun Xu, Junyi Zheng, Daili Wu

“…Additionally, social support moderates the effects of self-efficacy by predicting the pathway through which physical activity effects depression. …”
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An innovative and efficient implementation of matrix-free Newton krylov method for neutronics/thermal-hydraulics coupling simulation by Peijun Li, Chen Hao, Ning Xu, Yanling Zhu, Yizhen Wang, Zhigang Zhang

“…High-fidelity neutronics/thermal-hydraulics (N/TH) analysis can simulate and predict nuclear reactor core phenomena realistically, providing advanced and reliable technical means during the design and safety analysis of nuclear reactor. …”
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Design and optimization of liquid helium-free cooling systems for magnetic resonance imaging device using multi-physical modeling by Changhao Luo, Guanhua Liu, Yi Deng, Zhiqiang Long, Meng Lin

“…A three-dimensional multi-physical model was developed to predict cool-down times for various tube materials and refrigerants, and to evaluate system performance. …”
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Understanding Hip Contact Stress Based on Types of Physical Activity: A Systematic Review by Arief Indra Perdana Prasetya, Muhammad Imam Ammarullah, Tri Indah Winarni, Adriyan Pramono, Jamari Jamari, Tunku Kamarul, Ardiyansyah Syahrom

“…Although several risk factors have been identified for OA, a holistic approach to predicting contributed factors toward increased hip contact stresses have not been explored. …”
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CFD modelling and simulation of anaerobic digestion reactors for energy generation from organic wastes: A comprehensive review by Muhammad Usman Farid, Indiana A. Olbert, Andreas Bück, Abdul Ghafoor, Guangxue Wu

“…Computational fluid dynamics (CFD) is an applied mathematical tool which helps to understand and predict the fluid dynamics, heat flow as well as species transport in different domains. …”
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A Nonsynonymous Single-nucleotide Polymorphism in SLC24A5 Regulates Feather Pigment Deposition in Chinese Yellow Quail by Xiaohui Zhang, Fanghu Wu, Yanxia Qi, Yuanyuan Shang, Lingyun Fan, Yifei Wang

“…The mutant residue was predicted to be located inside the eighth transmembrane helix of the SLC24A5 protein, which is primarily responsible for recognizing Na+/Ca2+ ions. …”
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Airway β-Defensin-1 Protein Is Elevated in COPD and Severe Asthma by Katherine J. Baines, Thomas K. Wright, Jodie L. Simpson, Vanessa M. McDonald, Lisa G. Wood, Kristy S. Parsons, Peter A. Wark, Peter G. Gibson

“…Inflammatory phenotype had no effect on β-defensin-1 levels in asthma or COPD. β-defensin-1 protein was significantly higher in severe asthma compared to controlled and uncontrolled asthma. β-defensin-1 protein could predict the presence of COPD from both healthy controls and asthma patients. …”
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Empowering Security Operation Center With Artificial Intelligence and Machine Learning—A Systematic Literature Review by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…However, advanced technologies, such as artificial intelligence (AI) and machine learning (ML), have the potential to revolutionize SOCs by enhancing threat identification and response capabilities, as well as predicting and preempting risks. To address these challenges and highlight the full potential of SOC, this study provides a detailed overview through a comprehensive literature review that identifies gaps in existing research and examines the latest technologies used in the SOC environment to help address different operational and technical challenges and bring out their capabilities. …”
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Post-burns persistent inflammation leads to kidney PANoptosis with Caspases pathway activation by Guang Yang, Minghui Wang, Mulan Qahar, Jinqing He, Zhiwei Lai, Sanmu Li, Dehua He, Xuefei Yan, Zuying Xiong, Zibo Xiong, Thu H. Le

“…These findings have significant implications for predicting the prognosis of kidney function in burn patients and offer a potential therapeutic approach.…”
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Endothelial Dysfunction Correlates with Liver Fibrosis in Chronic HCV Infection by Michele Barone, Maria Teresa Viggiani, Annabianca Amoruso, Serafina Schiraldi, Annapaola Zito, Fiorella Devito, Francesca Cortese, Michele Gesualdo, Natale Brunetti, Alfredo Di Leo, Pietro Scicchitano, Marco Matteo Ciccone

“…A fibroscan value >11.5 KPa had a positive predictive power equal to 79% for endothelial dysfunction. …”
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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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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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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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