FusionScan: accurate prediction of fusion genes from RNA-Seq data by Pora Kim, Ye Eun Jang, Sanghyuk Lee

“…Simulation test also demonstrated that FusionScan recovered most of true positives without producing an overwhelming number of false-positives regardless of sequencing depth and read length. The computation time was comparable to other leading tools. …”
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Nuclear Data Uncertainty Quantification and Propagation for Safety Analysis of Lead-Cooled Fast Reactors by Ishita Trivedi, Jason Hou, Giacomo Grasso, Kostadin Ivanov, Fausto Franceschini

“…The impact of nuclear data uncertainties based on ENDF/B-VII.0 covariances is quantified on lattice level using the generalized perturbation theory implemented with the Monte Carlo code Serpent and the deterministic code PERSENT of the Argonne Reactor Computational (ARC) suite. The quantities of interest are the main eigenvalue and selected reactivity coefficients such as Doppler, radial expansion, and fuel/clad/coolant density coefficients. …”
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A system approach to the modeling of fungal infections of the wheat leaf by S. V. Nikolaev, U. S. Zubairova, E. S. Skolotneva, E. A. Orlova, D. A. Afonnikov

“…Mathematical models allow computational experiments to make predictions about the risk dynamics of infections in different scenarios of global weather changes. …”
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Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma. by Linshan Zhou, Mu Yang, Jiadi Luo, Hongjing Zang, Songqing Fan, Yuting Zhan

“…<h4>Conclusion</h4>Computational pathology emerges as a transformative tool capable of substantially reducing the burden on pathologists while concurrently enhancing and diagnostic sensitivity and specificity. …”
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On the transitory performance of mixed convective heat and mass transfer around spherical region in the presence of fluctuating streams by Hossam A. Nabwey, Sahar Anwar, Muhammad Ashraf, A.M. Rashad

“…Then these are transformed into more manageable forms via appropriate primitive variable formulation. To obtain the computational solution, the transformed equations are discretized by employing the FDM (Finite Difference Method). …”
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Effective field theory approach to lepton number violating decays K±→ π∓l±l±: short-distance contribution by Yi Liao, Xiao-Dong Ma, Hao-Lin Wang

“…We make a complete analysis on the basis of all dim-9 operators that violate lepton number by two units, and compute their one-loop QCD renormalization effects. …”
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Age-Adjusted D-Dimer in Ruling Out Acute Aortic Syndrome by Dayeon Lee, Yong Won Kim, Tae Youn Kim, Sanghun Lee, Han Ho Do, Jun Seok Seo, Jeong Hun Lee

“…Consecutive adult patients who visited an emergency room between January 2015 and September 2020 and who underwent a D-dimer test and computed tomography angiography for suspected AAS were enrolled. …”
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Irisin reshapes bone metabolic homeostasis to delay age-related osteoporosis by regulating the multipotent differentiation of BMSCs via Wnt pathway by Shangman Xing, Yifan Ma, Bing Song, Bing Song, Min Bai, Kexin Wang, Wenjing Song, Tingting Cao, Chao Guo, Yanying Zhang, Zhandong Wang, Yongfeng Wang, Yongfeng Wang

“…The macroscopic and microscopic changes of bone tissue in aging mice were examined using Micro-computed tomography (Micro-CT) and morphological staining.ResultsIt was noted that irisin affected the multilineage differentiation of BMSCs in a manner dependent on the dosage. …”
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Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

“…Subsequently, eight gray-level co-occurrence matrices (GLCM) were constructed for each lesion, and 13 Haralick textural features were calculated for each GLCM. Additionally, we computed the differences in feature values at different spatial shifts and the differences in feature values between the inner and outer areas of the lesion. …”
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Cognitive Deficit-Related Interhemispheric Asynchrony within the Medial Hub of the Default Mode Network Aids in Classifying the Hyperthyroid Patients by Mengmeng Zhi, Zhenghua Hou, Yuqun Zhang, Yingying Yue, Ling Li, Yonggui Yuan

“…Thirty-three hyperthyroid patients and thirty-three matched healthy controls (HCs) were recruited, and they received resting-state functional magnetic resonance imaging (fMRI) scans and neuropsychological evaluation. The VMHC value was computed to reveal the functional coordination between homotopic regions in both groups. …”
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YOLOv8n-CA: Improved YOLOv8n Model for Tomato Fruit Recognition at Different Stages of Ripeness by Xin Gao, Jieyuan Ding, Ruihong Zhang, Xiaobo Xi

“…Experimental results showed that the YOLOv8n-CA model had a parameter count of only 2.45 × 10⁶, computational complexity of 6.9 GFLOPs, and a weight file size of just 4.90 MB. …”
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Dietary carotenoid intakes and biological aging among US adults, NHANES 1999–2018 by Xiang Qi, Xuanyang Wang, Licheng Cheng, Yue Li, Keke Dang, Shuo Yang, Yina Wang, Runyi Zhou, Can Zhang, Ying Li

“…Multiple linear regression, weighted quantile sum (WQS) regression and quantile g-computation (QG-comp) were used to explore the associations of single carotenoid and mixed carotenoids with biological aging. …”
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Gastroduodenal Obstruction Secondary to Pica-associated Bezoar: A Case Report by Mariam Attia, Ashley A. Lavoie-Forrest, Phoebe Langius, Leon Melnitsky, Sandra Lopez, Eric Boccio

“…The abdominal exam revealed mild distention and generalized tenderness with no evidence of rebound or guarding. Computed tomography of the abdomen and pelvis with IV and oral contrast demonstrated gastric distention and a fecalized distal duodenum with wall thickening concerning for a duodenal obstruction. …”
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The electroweak effective field theory from on-shell amplitudes by Gauthier Durieux, Teppei Kitahara, Yael Shadmi, Yaniv Weiss

“…This establishes the correspondence with the usual Lagrangian approach and paves the way for SMEFT computations in the on-shell formalism.…”
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CONCEPTS OF IMPROVING CURRENT PROTECTION OF POWER-GRID LINES by F. A. Romaniuk, M. A. Shevaldin

“…The authors offer a variant for solving the problem with computation of the second-stage time delays in those instances where several feeders diverge from the bus bars of the substation located in the end of the protected line.Improving current protections for the 6–35 kV transmission lines with one-end power supply against interphase short-circuits can be based on the collective application of the following principles: accounting for the type and location of the short-circuit which provides for the high-performance cutoff zone instantaneous expansion and its independence on the mode of failure and the grid operation mode. …”
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Application of Path Analysis in identification of dominant effective meteorological parameters on ET0 in West Azarbaijan by Yagob Dinpashoh, Masoumeh Foroughi

“…Reference evapotranspiration (ET0) is a climatic parameter and can be computed from weather data. It is one of the most important hydrological parameters for calculating crop water demand, scheduling irrigation systems, preparing input data to hydrological water-balance models, regional water resources assessment, and planning and management for a region and/or a basin. …”
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Dynamic high resolution US as primary tool in comparison to MRI in evaluation of TMJ disk anterior displacement by Ahmed Y. Ashour, Abdalwhab M.A. Zwiri, Ahmed H. Ali, Ahmed M. Mostafa, Bahaa-Eldin A. Moustafa, Husseini F. EL boraey, Alshimaa Y. Ashour, Elsayed M. Abd El-Hamid

“…Several imaging modalities as Magnetic resonance imaging (MRI), computed tomography (CT), and traditional radiography were used to diagnose TMD. …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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An In silico Approach towards Finding the Cancer-Causing Mutations in Human MET Gene by Fayeza Sadia Laskar, Md. Nazmul Islam Bappy, Md. Sowrov Hossain, Zenifer Alam, Dilruba Afrin, Sudeb Saha, Kazi Md. Ali Zinnah

“…These nsSNPs were first identified utilizing computational tools like SIFT, PROVEAN, PANTHER-PSEP, PolyPhen-2, I-Mutant 2.0, and MUpro. …”
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Pavement Management Utilizing Mobile Crowd Sensing by Boquan Tian, Yongbo Yuan, Hengyu Zhou, Zhen Yang

“…Benefiting from the development of mobile communication, mobile computing, and mobile sensing techniques, the intelligence of mobile crowd sensing (MCS), which mainly relies on ubiquitous mobile smart devices in people’s daily lives, has overcome the above drawbacks to a large extent as one new effective and simple measure for pavement management. …”
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