A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

“…A sliding slice method is then employed to predict image targets, thereby reducing the miss rate of small targets.ResultsExperimental results demonstrate that the proposed model improves accuracy, recall, and mean average precision (mAP) by 9.5, 0.9, and 12.3 percentage points, respectively, compared to the original YOLOv5s model. …”
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A new strategy for pharmacodynamic substance screening and research on gut microbiota pathway mechanisms based on UPLC-Q-orbitrap-MS and 16S rRNA by Zhiying Yu, Tong Li, Jie Yang, Jianghua He, Weijiang Zhang, Siyuan Li, Yunpeng Qi, Yihui Yin, Ling Dong, Wenjuan Xu

“…The abundance of gut microbiota involved in the metabolism of the prototype components was influenced by the corresponding components. The function prediction results showed that PUE was the most comparable to GQD, with 24 consistent pathways. …”
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The influencing factors of the erythropoietin resistance index and its association with all-cause mortality in maintenance hemodialysis patients by Xinju Zhao, Liangying Gan, Fan Fan Hou, Xinling Liang, Xiaonong Chen, Yuqing Chen, Zhaohui Ni, Li Zuo

“…ERI was associated with increased all-cause mortality in MHD patients, indicating the possibility of death prediction by ERI. Patients with high ERI warrant more attention.…”
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Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients by Sarah A. Teele, MD, MSHPEd, Avihu Z. Gazit, MD, Craig Futterman, MD, William G. La Cava, PhD, David S. Cooper, MD, MPH, MBA, Steven M. Schwartz, MD, MS, Joshua W. Salvin, MD, MPH

“…Collected data included vital signs, ventilator data, laboratory data, and demographics. PREDICTION MODEL:. The ability of the IDo2 index to predict Svo2 below a preselected threshold (30%, 40%, or 50%) was evaluated for discriminatory power, range utilization, and robustness. …”
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Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis by Zhongli Wang, Zhongli Wang, Gaopei Zhu, Shixue Li, Shixue Li

“…Citation analysis highlighted two major breakthroughs: AlphaFold’s protein structure prediction (6,811 citations) and deep learning approaches to antibiotic discovery (4,784 citations). …”
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The significance of risk stratification through nomogram-based assessment in determining postmastectomy radiotherapy for patients diagnosed with pT1 − 2N1M0 breast cancer by Chao Wei, Jie Kong, Huina Han, Xue Wang, Zimeng Gao, Danyang Wang, Andu Zhang, Jun Zhang, Zhikun Liu

“…Abstract Objective To explore the high-risk factors affecting the prognosis of pT1 − 2N1M0 patients after mastectomy, establish a nomogram prediction model, and screen the radiotherapy benefit population. …”
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Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach by Dongmei Pei, Chengpu Zhang, Yu Quan, Qiyong Guo

“…With a strict data filtration, 10,436 records from the eligible participants were utilized to develop a prediction model using the J48 decision tree algorithm. …”
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Penerapan Decision Tree J48 dan Reptree dalam Menentukan Prediksi Produksi Minyak Kelapa Sawit menggunakan Metode Fuzzy Tsukamoto by Tundo Tundo, Shofwatul 'Uyun

“…From the data used the accuracy of the J48 decision tree is 95.2381%, while the REPTree accuracy is 90.4762%, but in this case the REPTree decision tree is more appropriate to be used in the prediction process of palm oil production, because it is tested with actual data in March 2019 uses REPTree obtained 16355835 liters, while using J48 obtained 11844763 liters, where the actual production data is 179,20000 liters. …”
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AMH Is a Good Predictor of Metabolic Risk in Women with PCOS: A Cross-Sectional Study by Miaoxian Ou, Pei Xu, Han Lin, Kaichi Ma, Mingxing Liu

“…The values of AMH that best predicted the risk of HOMA-IR were also analyzed by ROC curves. …”
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Metabolite profiling in assessing ulcerative colitis activity: A systematic review by Danyang Cui, Xu Han, Jiazhu Jin, Yanhong Wang, Zijia Chen, Yang Gong, Miao Jiang

“…This finding will identify small molecule biomarkers that may potentially replace colonoscopy in the assessment and prediction of UC disease activity in the future, which indicates a significant potential for biomarker development.…”
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Identification of a distinctive immunogenomic gene signature in stage-matched colorectal cancer by Pankaj Ahluwalia, Ashis K. Mondal, Ashutosh Vashisht, Harmanpreet Singh, Ahmet Alptekin, Kalyani Ballur, Nivin Omar, Meenakshi Ahluwalia, Kimya Jones, Amanda Barrett, Vamsi Kota, Ravindra Kolhe

“…The development of prognostic and predictive indicators, particularly in the context of personalized medicine, could significantly improve CRC patient management. …”
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FMT reduces systemic inflammatory response in severe acute pancreatitis by increasing the abundance of intestinal Bifidobacteria and fecal bacteria by Yanning Mao, Yandong Huang, Weiwei Zhang, Huiping Liang, Fengming Liu, Qi Luo, Chunqin Xu, Yi Qin, Jiawen Liu, Shaobo Tang, Huaying Liu, Xiaolong Ge

“…Composition and functional prediction analyses were conducted to explore the mechanisms underlying FMT in SAP. …”
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IMPACT OF ENERGY PRICES ON PRICES OF BASIC TOURISM SERVICES IN THE EURO AREA by Lachezar Borisov

“…The regression analysis revealed a causal relationship between the prices of hotels and restaurants and the dynamics of energy product prices, thereby enabling the prediction of the former based on the latter. The study reveals the existence of a specific functional relationship. …”
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Comparison of Mortality Risk Models in Patients with Postcardiac Arrest Cardiogenic Shock and Percutaneous Mechanical Circulatory Support by Georgios Chatzis, Birgit Markus, Styliani Syntila, Christian Waechter, Ulrich Luesebrink, Holger Ahrens, Dimitar Divchev, Bernhard Schieffer, Konstantinos Karatolios

“…Although scoring systems are widely used to predict outcomes in postcardiac arrest cardiogenic shock (CS) after out-of-hospital cardiac arrest (OHCA) complicating acute myocardial infarction (AMI), data concerning the accuracy of these scores to predict mortality of patients treated with Impella in this setting are lacking. …”
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The Increased Ratio of Blood CD56bright NK to CD56dim NK Is a Distinguishing Feature of Primary Sjögren’s Syndrome by Bingxia Ming, Tong Wu, Shaozhe Cai, Peng Hu, Jungen Tang, Fang Zheng, Cong Ye, Lingli Dong

“…The aim of this study was to characterize the subsets of circulating CD56+ NK cells in pSS patients and their potential value in the diagnosis and/or prediction of prognosis in patients with pSS. Methods. …”
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Dynamics of spatial phase coherence in a dissipative Bose–Hubbard atomic system by Vatré, Rémy, Bouganne, Raphaël, Bosch Aguilera, Manel, Ghermaoui, Alexis, Beugnon, Jérôme, Lopes, Raphael, Gerbier, Fabrice

“…The observed decay exponent $\alpha \approx 0.54(6) $ is in good agreement with the prediction $\alpha =1/2$ from a dissipative Bose–Hubbard model accounting for the fluorescence-induced decoherence. …”
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Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions by Fernanda Carla Ferreira de Pontes, Ingrid Pinheiro Machado, Maria Valnice de Souza Silveira, Antônio Lucas Aguiar Lobo, Felipe Sabadin, Roberto Fritsche-Neto, Júlio César DoVale

“…Recent studies show SNP-Array, GBS, and Mock yield similar results for population structure, heterotic groups definition, tester selection, and genomic hybrid prediction. However, no studies have examined the results generated by these different genotyping approaches for GWAS. …”
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Dataset and analysis of automated and manual methods to differentiate wide QRS complex tachycardiasDataverse by Sarah LoCoco, Anthony H. Kashou, Abhishek J. Deshmukh, Samuel J. Asirvatham, Christopher V. DeSimone, Krasimira M. Mikhova, Sandeep S. Sodhi, Phillip S. Cuculich, Rugheed Ghadban, Daniel H. Cooper, Thomas M. Maddox, Peter A. Noseworthy, Adam M. May

“…WCT Formula I, WCT Formula II, VT Prediction Model, Solo Model, and Paired Model). Two electrophysiologists independently applied the 3 manual WCT differentiation approaches to 213 ECGs. …”
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THE SOLANUM TUBEROSUM KNOWLEDGE BASE: THE SECTION ON MOLECULAR-GENETIC REGULATION OF METABOLIC PATHWAYS by T. V. Ivanisenko, O. V. Saik, P. S. Demenkov, V. K. Khlestkin, E. K. Khlestkina, N A. Kolchanov, V. А. Ivanisenko

“…Thus, the inclusion of information on well-studied model species during the extraction of information on the molecular-genetic regulation of metabolic processes is important. It allows prediction of orthologous genes in potato and their further identification and analysis based on homology. …”
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Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis by Tan Y, Qian B, Ma Q, Xiang K, Wang S

“…Based on these key genes, we carried out nomogram construction, enrichment and immune analyses, regulatory network mapping, drug prediction, and expression verification.Results: 27 DE-IFRGs were identified by intersecting 256 DEGs, 1793 immune-related genes, and 1019 inflammation-related genes. …”
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