Preoperative CT-based radiomics nomogram for progression-free survival prediction in pediatric posterior mediastinal malignancies by Shucheng Bi, Chenghao Chen, Jie Yu, Ting Yang, Jihang Sun, Zunying Hu, Qi Zeng, Yun Peng

“…Radiomics signature was derived using logistic regression algorithm, and we developed a nomogram by integrating the clinical model and the radiomics signature. …”
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Integrative multiomics analysis reveals the subtypes and key mechanisms of platinum resistance in gastric cancer: identification of KLF9 as a promising therapeutic target by Pengcheng Zhang, Lexin Wang, Haonan Lin, Yihui Han, Jingfang Zhou, Hang Song, Peng Wang, Huanhuan Tan, Yajuan Fu

“…Combining platinum drugs with other therapeutic strategies may improve treatment efficacy; however, the mechanisms underlying platinum resistance in GC remain unclear. …”
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Using Calibration Transfer Strategy to Update Hyperspectral Model for Quantitating Soluble Solid Content of Blueberry Across Different Batches by Biao Chen, Xuhuang Huang, Shenwen Tan, Guangjun Qiu, Huaiyin Lin, Xuejun Yue, Junzhi Chen, Wenshan Zhong, Xuantian Li, Le Zhang

“…Different sample batches and differences in hyperspectral image acquisition environments may lead to a significant decline in the performance of hyperspectral detection models. …”
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Identification and Evaluation of Lipocalin-2 in Sepsis-Associated Encephalopathy via Machine Learning Approaches by Hu J, Chen Z, Wang J, Xu A, Sun J, Xiao W, Yang M

“…On the basis of various machine learning algorithms, we discovered that Lipocalin-2 (LCN2) may be the key gene involved in neutrophil-induced SAE. …”
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An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance by Abhijeet Das

“…With a sensitivity of 99.87%, a specificity of 74.56%, and an accuracy of 90.50%, the RF algorithm performs better than any other classifier. …”
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Simulated meteorological impacts of offshore wind turbines and sensitivity to the amount of added turbulence kinetic energy by D. Quint, D. Quint, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, N. Bodini, D. Rosencrans

“…Because the wake behavior may be a function of boundary layer stability, in this paper, we also present a machine learning algorithm to quantify the area and distance of the wake generated by the wind plant. …”
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iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking. by Xuan Xiao, Jian-Liang Min, Pu Wang, Kuo-Chen Chou

“…It is anticipated that iGPCR-Drug may become a useful high throughput tool for both basic research and drug development, and that the approach presented here can also be extended to study other drug - target interaction networks.…”
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Frontier machine learning techniques for melanoma skin cancer identification and categorization: An in-Depth review by Viomesh Singh, Kavita A. Sultanpure, Harshwardhan Patil

“…Failure to diagnose it at its incipient stages may lead to metastasis, significantly elevating mortality rates. …”
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Some Improvements on Good Lattice Point Sets by Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang

“…This paper confirms that linear-level permutation may lead to greater mixture discrepancy. Nevertheless, GGLP sets can still enhance the space-filling property of GLP sets under various criteria. …”
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Acute severe ulcerative colitis: using JAK-STAT inhibitors for improved clinical outcomes by Shruthi Karthikeyan, Chetan Ambastha, Kian Keyashian

“…The life-threatening nature of this condition requires clinicians to make prompt diagnoses and take rapid action, either directing patients towards surgical interventions or medical management. Failure to treat ASUC may lead to toxic dilation of the colon, hemorrhage, or sepsis. …”
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Formal Verification of Three-Valued Digital Waveforms by Nina Yu. Kutsak, Vladislav V. Podymov

“…The three-valuededness means that at any given time, besides basic logical values 0 and 1, a signal may have a special undefined value: one of the values 0 and 1, but which one of them is either not known, or not important. …”
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Diagnostic Utility of Broad Range Bacterial 16S rRNA Gene PCR with Degradation of Human and Free Bacterial DNA in Bloodstream Infection Is More Sensitive Than an In-House Developed... by Petra Rogina, Miha Skvarc, David Stubljar, Romina Kofol, Achim Kaasch

“…In vitro spiking experiments suggested equal sensitivity of SepsiTest and IHP. A diagnostic algorithm using CD64 index as a decision maker to perform SepsiTest shows improved detection of pathogens in patients with suspected blood stream infection and may enable earlier targeted antibiotic therapy.…”
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Mapping the Impact of Spontaneous Streetscape Features on Social Sensing in the Old City of Quanzhou, China: Based on Multisource Data and Machine Learning by Keran Li, Yan Lin

“…This paper combined the mobile collection of street view images (SVIs) and a machine learning algorithm to calculate eight types of spontaneous streetscape elements and integrated two online platforms (Dianping and Sina Weibo) to map the distribution of economic vitality and social media perception, respectively. …”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…Conclusion The application of the new diagnostic framework based on AI algorithms increased the accuracy of the diagnosis compared with the traditional approach. …”
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P85 | ALTERATION OF SUBMUCOSAL AND MYENTERIC GANGLIA IN SEVERE GUT DYSMOTILITY: A QUANTITATIVE MORPHOMETRIC ANALYSIS

“…The aim of this study is therefore to assess whether the number of ganglia in the submucosal and myenteric plexuses may serve as practical and discriminative indices for distinguishing patients from controls and supporting the diagnosis. …”
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Self-Driving Car Navigation With Single-Beam LiDAR and Neural Networks Using JavaScript by Trung Thi Hoa Trang Nguyen, Thanh Toan Dao, Thanh Binh Ngo, Vu Anh Phi

“…Furthermore, we introduce an enhanced collision detection algorithm that improves upon traditional methods by providing more precise identification of line segment intersections. …”
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Modeling study of uniaxial compressive strength prediction from similar analog drilling test signals by Heqing LIU, Jiankang LIU, Jian HAO, Lijin ZHAO, Jianquan TANG

“…The UCS prediction method proposed in this paper may provide a new idea for the intelligent identification of rock mechanical properties.…”
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Aviation industry technological sovereignty optimization problem formulation by I. Y. Bodrova, A. V. Gostev, G. D. Fainburg

“…This publication is the main one for the further development of an algorithm that will allow solving priority tasks of continued airworthiness of both the fleet in operation and newly developed aircraft.…”
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THE OBJECTIFICATION OF THE PRINCIPLE OF FAIRNESS IN TAX LAW OF RUSSIA IN THE ASPECT OF ANALYSIS OF RECENT LEGISLATIVE DEVELOPMENTS by M. Koilova

“…The author notes some problematic aspects that may arise in the process of their implementation and proposed measures to overcome them. …”
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Cardiosurgical endovascular intervention during pregnancy by S. O. Siromakha, Yu. V. Davydova, A. Yu. Limanska, B. V. Cherpak, V. V. Lazoryshynets

“…Materials and methods. The algorithm of medical support was presented, including the cases of cardiosurgical interventions performance , for pregnant women with critically severe pathology of the heart, which was based on actual recommendations and own experience. …”
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