Assessing Air-Pocket Pressure Peaks During Water Filling Operations Using Dimensionless Equations by Vicente S. Fuertes-Miquel, Oscar E. Coronado-Hernández, Francisco J. Sánchez-Romero, Manuel Saba, Modesto Pérez-Sánchez

“…A practical application involving a water pipeline with an irregular profile demonstrates the model’s effectiveness, showing strong agreement between calculated and chart-predicted (proposed methodology) values. This research provides water utilities with the ability to select the appropriate pipe’s resistance class required for water distribution systems by calculating the pressure peak value that may occur during filling procedures.…”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”
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From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring by Guerbaoui Mohammed, El Faiz Samira, Ed-Dahhak Abdelali, Lachhab Abdeslam, Benhala Bachir, Bakziz Zakaria, Ichou Ismail, Selmani Abdelouahed

“…Future enhancements could include the integration of additional sensors and the application of machine learning algorithms for predictive analytics. Overall, the project demonstrates the potential of IoT and data analytics in addressing real-world challenges related to environmental monitoring.…”
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Response of Sorghum to Cold Stress at Early Developmental Stage by Amandin Rutayisire, Geoffrey Lubadde, Alice Mukayiranga, Richard Edema

“…Correlation between controlled environment experiments and field trial results was mostly significant, suggesting that the growth chambers can be used to predict and identify cold-tolerant genotypes. Results showed that emergence and vigor are the best surrogate traits for selecting cold-tolerant genotypes. …”
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Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning by Jingteng Li, Kimberley R. Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam Barnaghi, Neil Sebire

“…Future work will focus on utilising the temporal information within EHR and extending EHR embedding algorithms to develop personalised patient journey predictions.…”
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HIV Progression Perturbs the Balance of the Cell-Mediated and Anti-Inflammatory Adaptive and Innate Mycobacterial Immune Response by Andrew R. DiNardo, Anna M. Mandalakas, Gugu Maphalala, Godwin Mtetwa, Temhlanga Mndzebele, Piluca Ustero, Makhosazana Hlatshwayo, Emily M. Mace, Jordan S. Orange, George Makedonas

“…Since T-lymphocyte production of interferon-gamma (IFN-γ) in response to Mycobacterium tuberculosis (Mtb) antigens fails to differentiate disease from latent infection, we applied a comprehensive profiling methodology to define immune biomarkers that reliably predict a patient’s TB risk. Methods. We established a cohort of HIV-infected adults with TB disease from Swaziland. …”
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The impact of metabolic syndrome on hepatocellular carcinoma: a mendelian randomization study by Chendong Yuan, Xufeng Shu, Xiaoqiang Wang, Wenzheng Chen, Xin Li, Wenguang Pei, Xujie Su, Zhenzhen Hu, Zhigang Jie

“…After adjusting for the genetic predictive effects of all exposures, waist circumference was found to be a key factor significantly influencing the relationship between metabolic syndrome and hepatocellular carcinoma. …”
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The occurrence of wheat crown rot correlates with the microbial community and function in rhizosphere soil by Yajiao Wang, Jian Feng, Jianhai Gao, Sen Han, Qiusheng Li, Lingxiao Kong, Yuxing Wu

“…Additionally, functional predictions showed that microbial communities adapted to WCR by enhancing signaling pathways and reducing their anabolic activity. …”
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Chromosome-Level Genome Assembly and Annotation of the Highly Heterozygous <i>Phallus echinovolvatus</i> Provide New Insights into Its Genetics by Mengya An, Ruoxi Liang, Yanliu Chen, Jinhua Zhang, Xiuqing Wang, Xing Li, Guohua Qu, Junfeng Liang

“…The Monop had a size of 36.54 Mb, with 10,251 predicted protein-coding genes and including 433 carbohydrate-active enzyme genes, 385 cytochrome P450 enzyme genes, and 42 gene clusters related to secondary metabolite synthesis. …”
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Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway by Mengdi Wen, Liangliang Zhang, Huawei Wan, Peirong Shi, Longhui Lu, Zixin Zhao, Zhiru Zhang, Jinhui Wu

“…Landscape ecological risk assessment, as an important means to predict and measure the adverse effects of human activities on the ecological environment, is being paid more and more attention. …”
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Investigation of the Ultrasonic Treatment-Assisted Soaking Process of Different Red Kidney Beans and Compositional Analysis of the Soaking Water by NIR Spectroscopy by Matyas Lukacs, Tamás Somogyi, Barasa Mercy Mukite, Flóra Vitális, Zoltan Kovacs, Ágnes Rédey, Tamás Stefaniga, Tamás Zsom, Gabriella Kiskó, Viktória Zsom-Muha

“…NIRs, in combination with chemometric tools, are an effective tool for predicting the characteristics of bean-soaking water. …”
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Expanding diversity in developmental profiles of very-low-birth-weight infants during 6 years after birth by Kyoko Watanabe, Reina Ogata, Kenta Kajiwara, Hirosuke Inoue, Yoshihiro Sakemi, Masako Ichiyama, Toru Sawano, Kazuaki Yasuoka, Takahide Watabe, Hiroaki Kurata, Toshinori Nakashima, Yuri Sonoda, Pin Fee Chong, Satoshi Akamine, Masayuki Ochiai, Takuro Ohno, Hironori Yamashita, Yasunari Sakai, Shouichi Ohga

“…Clustering analyses indicated that DQ values at age 3 years predicted better the prognosis of VLBWIs with DQ ≥ 85 at age 6 years than their growth profiles. …”
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Effect of Rising Temperature on Lyme Disease: Ixodes scapularis Population Dynamics and Borrelia burgdorferi Transmission and Prevalence by Dorothy Wallace, Vardayani Ratti, Anita Kodali, Jonathan M. Winter, Matthew P. Ayres, Jonathan W. Chipman, Carissa F. Aoki, Erich C. Osterberg, Clara Silvanic, Trevor F. Partridge, Mariana J. Webb

“…The model is used to predict the response of Lyme disease risk to a mean annual temperature increase, based on current temperature cycles in Hanover, NH. …”
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Toward the calibration of 2D thermomechanical simulations of magma poor passive continental margins: method, validation and case example by Perron, Paul, Le Pourhiet, Laetitia, Jourdon, Anthony, Cornu, Tristan, Gout, Claude

“…By calibrating against a 2D cross-section extracted from the final state of a 3D model, we show that the approach predicts thermal history and deformation paths beyond calibration points. …”
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Growth, Development, and Water Consumption of Irrigated Bean Crop Related to Growing Degree-Days on Different Soil Tillage Systems in Southeast Brazil by Gerson Araujo de Medeiros, Luiz Antonio Daniel, Felipe Hashimoto Fengler

“…Degree-days may be an alternative for predicting the influence of temperature on physiological aspects of plants in a changing climate. …”
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Environmental DNA (eDNA) as a tool to detect Arctic grayling and their habitat preferences in the Northwest Territories, Canada by Heather D. Veilleux, Melissa D. Misutka, Morag D. McPherson, Peter A. Cott, Greg G. Goss, Mark Poesch, Chris N. Glover

“…Riffles and water temperature were identified as being predictive of Arctic grayling eDNA abundance; however, no significant relationship between eDNA abundance and biomass proxies (fish abundance and fork length metrics) could be established. …”
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Determinants Affecting Family Commitment and Capability in Preventing Stunting in Children Under Two Years by Taufiqurrahman Taufiqurrahman, Nur Hatijah, Ani Intiyati

“…Approximately 89.89% of a family’s ability to monitor child growth and development could be predicted by the study model. However, resource factors and fundamental family values were not significant. …”
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Preoperative Nutritional Therapy Reduces the Risk of Anastomotic Leakage in Patients with Crohn’s Disease Requiring Resections by Zhen Guo, Dong Guo, Jianfeng Gong, Weiming Zhu, Lugen Zuo, Jing Sun, Ning Li, Jieshou Li

“…The rate of anastomotic leakage and temporary diverting stoma was compared between patients who received preoperative nutritional therapy and those on a normal diet before surgery. Possible predictive factors for anastomotic leakage were also analyzed. …”
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Clinical Value of 99Tcm-MDP SPECT Bone Scintigraphy in the Diagnosis of Unilateral Condylar Hyperplasia by Bing Wen, Ying Shen, Chang-Yin Wang

“…Values for the sensitivity (95%), specificity (61%), positive (84.4%) and negative (84.6%) predictive values, and accuracy (84.5%) for 99Tcm-MDP SPECT in the diagnosis of UCH were calculated. …”
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Risk factors and clinical outcomes of cytomegalovirus infection following haploidentical hematopoietic stem cell transplantation in patients with aplastic anemia: a single-center r... by Jia Feng, Jia Feng, Xinhe Zhang, Xinhe Zhang, Zhengwei Tan, Zhengwei Tan, Yuechao Zhao, Huijin Hu, Junfa Chen, Liqiang Wu, Qinghong Yu, Dijiong Wu, Baodong Ye, Wenbin Liu

“…For this subset of the population, exploring the risk factors for CMV infection remains significant in predicting its occurrence.MethodsTherefore, a retrospective analysis was conducted on 88 haploidentical hematopoietic stem cell transplant recipients over 4 years.ResultsOur study results indicate that chronic graft-versus-host disease (cGVHD) is an independent risk factor for CMV infection following haploidentical hematopoietic stem cell transplantation (Haplo-HSCT). …”
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