Tracing the Earliest Stages of Star and Cluster Formation in 19 Nearby Galaxies with PHANGS-JWST and HST: Compact 3.3 μm Polycyclic Aromatic Hydrocarbon Emitters and Their Relation... by M. Jimena Rodríguez, Janice C. Lee, Remy Indebetouw, B. C. Whitmore, Daniel Maschmann, Thomas G. Williams, Rupali Chandar, A. T. Barnes, Oleg Y. Gnedin, Karin M. Sandstrom, Erik Rosolowsky, Adam K. Leroy, David A. Thilker, Hwihyun Kim, Jiayi Sun, Ralf S. Klessen, Brent Groves, Aida Wofford, Médéric Boquien, Daniel A. Dale, Leonardo Úbeda, Kirsten L. Larson, Kathryn Grasha, Kelsey E. Johnson, Rebecca C. Levy, Frank Bigiel, Hamid Hassani, Sumit K. Sarbadhicary

“…We establish a selection criteria based on a median color threshold of F300M − F335M = 0.67 at F335M = 20 and identify 1816 sources. …”
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Multiphysics Coupling Model of Rock Mass considering Damage and Disturbance and Its Application by Wei Wang, Zhouquan Luo, Yaguang Qin, Jun Xiang, Lei Wen, Shaowei Ma

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An improved statistical bias correction method for Global Climate Model (GCM) precipitation projection: A case study on the CMCC-CM2-SR5 model projection in China’s Huaihe River Ba... by Yuning Luo, Ke Zhang, Wen Wang, Xinyu Chen, Jin Feng, Haijun Wang, Wei Liu, Cheng Guo, Cuiying Chen, Xiaozhong Wang

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Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada by Xi Wang, Xiaomei Li, Jinming Sha, Hao Zhang, Eshetu Shifaw, Xulin Guo, Shuhui Lai, Jinliang Wang

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Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

“…Abstract Background Spodiopogon sagittifolius, a C4 plant closely related to cultivated crops, is an edible resource and a Class II nationally protected species in China. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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CFD investigation and ANN prediction of heat transfer coefficient for fully developed turbulent air flow around double V-baffle turbulators by Abdulaziz Alasiri, H.E. Fawaz

“…The process of training incorporates the analysis of the loss function on training and validation data for controlling the weights and biases using backpropagation while feed forward propagate the selected input parameters. …”
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A competing risk analysis of predictors of time to lost to follow-up among adults with TB/HIV coinfection in Bahir Dar by Robel Demelash, Getachew Hailu, Taye Abuhay, Zemenu Addis, Ayenew Tega, Degarege Nibret, Yitagesu Habtu

“…Overestimating effect sizes when considering mutually exclusive events, like LTFU from ART and anti-TB treatment, can occur if sources of error are not properly accounted for in competing events. …”
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A Systematic Review of risk factors for major adverse cardiovascular events in patients with coronary heart disease who underwent percutaneous coronary intervention by You Zhai, Hongcai Shang, Yan Li, Nan Zhang, Jisi Zhang, Shangwen Wu

“…ObjectiveThis study aims to systematically review the risk factors for major adverse cardiovascular events (MACE) in patients with coronary heart disease who have undergone percutaneous coronary intervention (PCI).DesignSystematic review and meta-analysis.Data sourcesThe Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Database, and VIP Database for Chinese Technical Periodicals (VIP) were screened until December 2024.Eligibility criteria for selecting studiesCase-control studies or cohort studies on the risk factors for MACE in patients with coronary heart disease who underwent PCI. …”
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A novel model-based meta-analysis to indirectly estimate the comparative efficacy of two medications: an example using DPP-4 inhibitors, sitagliptin and linagliptin, in treatment o... by Yan Gong, James Rogers, Christian Friedrich, Sanjay Patel, Alexander Staab, Jorge Luiz Gross, Daniel Polhamus, William Gillespie, Brigitta Ursula Monz, Silke Retlich

“…Comparison of two oral dipeptidyl peptidase (DPP)-4 inhibitors, sitagliptin and linagliptin, for type 2 diabetes mellitus (T2DM) treatment was used as an example.Design Systematic review with MBMA.Data sources MEDLINE, EMBASE, http://www.ClinicalTrials.gov, Cochrane review of DPP-4 inhibitors for T2DM, sitagliptin trials on Food and Drug Administration website to December 2011 and linagliptin data from the manufacturer.Eligibility criteria for selecting studies Double-blind, randomised controlled clinical trials, ≥12 weeks’ duration, that analysed sitagliptin or linagliptin efficacies as changes in glycated haemoglobin (HbA1c) levels, in adults with T2DM and HbA1c >7%, irrespective of background medication.Model development and application A Bayesian model was fitted (Markov Chain Monte Carlo method). …”
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Whole blood RNA-seq analysis reveals the immunomodulatory effects of a supplemental multi-strain direct-fed microbial in the diet of newly weaned beef steers1 by Adekunle Ajiboye, Samanthia Johnson, Modoluwamu Idowu, Yarahy Leal, Taylor Sidney, Godstime Taiwo, Ibukun M. Ogunade, Christopher Ashwell

“…On day 56, 10 mL of blood was collected from 10 randomly selected beef steers from each treatment group prior to morning feeding. …”
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Willingness to participate in COVID-19 vaccine trials; a survey among a population of healthcare workers in Uganda. by Jonathan Kitonsa, Onesmus Kamacooko, Ubaldo Mushabe Bahemuka, Freddie Kibengo, Ayoub Kakande, Anne Wajja, Vincent Basajja, Alfred Lumala, Edward Ssemwanga, Robert Asaba, Joseph Mugisha, Benjamin F Pierce, Robin Shattock, Pontiano Kaleebu, Eugene Ruzagira

“…Data were analysed descriptively and a binomial generalised linear model with a log link function used to investigate factors associated with unwillingness to participate.…”
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Persistence in the socio-economic development of the regions of the Siberian Federal District by Misak S. Arzumanyan

“…The term «persistence» originally has a biological and medical origin, as a property of microorganisms (bacteria, viruses) to survive and function in an aggressive environment (e.g., when exposed to antibiotics). …”
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The inconclusive superiority debate of allogeneic versus autologous MSCs in treating patients with HFrEF: a systematic review and meta-analysis of RCTs by Omar T. F. Ahmed, Ziyad Tarek Ahmed, Abdulrahman W. Dairi, Maha Saad Zain Al-Abeden, Mohammed H. Alkahlot, Rana H. Alkahlot, Ghazi I. Al Jowf, Lars M. T. Eijssen, Khawaja Husnain Haider

“…The data were then plotted for various outcomes, including death, hospitalization, major adverse cardiac events, pump function parameters, and 6-min walk distance. Results The safety of MSC-based treatment has been consistently demonstrated with MSCs from autologous (AutoMSCs) and allogeneic (AlloMSCs) sources. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…Additionally, three machine learning methods—Random Forest (RF), LASSO regression, and Support Vector Machine Recursive Feature Elimination (SVM-RFE)—were employed for feature selection and to evaluate the robustness and predictive power of the selected features, with diagnostic efficacy evaluated through Receiver Operating Characteristic (ROC) curves. …”
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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

“…Results show that the source-time function based on the fractional-order Gaussian function wavelet can better fit complex recording waveforms compared with the conventional Ricker wavelet-based source-time function, and the waveform misfit during the L-BFGS iteration decreased rapidly. …”
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Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

“…Persistent Mobile Organic Compounds (PMOCs) represent a critical threat to water resources due to their high solubility, resistance to degradation, and potential toxicity, posing risks to human health and ecosystems. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…The modification of the classical artificial potential field method using the Gaussian function to describe repulsive forces is an example of optimizing the method for systems with constrained resources. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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Construction of a Multi-level Blue-Green Infrastructure Network in a Riverside City: A Case Study of Shaoxing by Meizi Zhou, Yong He, Zhi Qiu

“…To address this gap, this study proposes a framework for constructing a multi-level BGI network. We selected Shaoxing City, a typical riverside city in the Yangtze River Delta region of China, as the study area and integrated water-related ecosystem services into the identification of ecological sources. …”
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