A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing by Tae-yong Kim, Jieun Lee, Seokhyun Gong, Jaehoon Lim, Dowan Kim, Jongpil Jeong

“…The FS-GAN model leverages few-shot learning to enable accurate predictions with minimal data and uses the generative capabilities of AnoGAN to mitigate the scarcity of abnormal data by generating synthetic normal data. …”
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Development of a Novel Sensor System Based on Magnetic Microspheres to Detect Cardiac Troponin T by Junrong Zhang, Hongxiang Liu, Baofeng Xu, Sijun Huang, Rui Liu, Jinming Zhu, Yi Guo, Li Xu

“…Therefore, it is necessary to predict the possibility of AMI in the prophase. Prognostic detection of biomarkers that specifically reflect myocardial damage in a patient’s blood has become an essential mediating measure to prevent the serious occurrence of AMI. …”
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Modeling and simulations of hydrodynamic shocks in a plasma flowing across randomized ICF scale laser beams by Hüller, S., Ludwig, J. D. T., Rose, H. A., Bruulsema, C., Farmer, W., Michel, P., Milder, A. L., Swadling, G. F., Rozmus, W.

“…This scenario has been predicted theoretically and is confirmed here by our hydrodynamic simulations in two dimensions with speckled beams and in one dimension with a reduced model. …”
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Diagnosis of planktonic trophic network dynamics with sharp qualitative changes by Gaucherel, Cedric, Fayolle, Stolian, Savelli, Raphael, Philippine, Olivier, Pommereau, Franck, Dupuy, Christine

“…We hope this formal approach will open a new avenue in identifying and predicting trophic (and non-trophic) ecological networks. …”
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Regional Groundwater Quality Management through Hydrogeological Modeling in LCC, West Faisalabad, Pakistan by Aamir Shakoor, Zahid Mahmood Khan, Muhammad Arshad, Hafiz Umar Farid, Muhammad Sultan, Muhammad Azmat, Muhammad Adnan Shahid, Zafar Hussain

“…After the successful calibration and validation, two pumping scenarios were developed up to year 2030: Scenario I (increase in pumping rate according to the historical trend) and Scenario II (adjusted canal water supplies and groundwater patterns). The predicted results of Scenario I revealed that, up to year 2030, the area under good quality groundwater reduced significantly from 50.35 to 28.95%, while marginal and hazardous groundwater quality area increased from 49.65 to 71.06%. …”
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Vibration and Performance Analyses Using Individual Blade Pitch Controls for Lift-Offset Rotors by Jae-Sang Park, Do-Hyung Kim, Sanghyun Chae, Ye-Lin Lee, Jeong-In Go

“…As a lift-offset rotor for the present study, the rigid coaxial rotor of a XH-59A compound helicopter is considered and CAMRAD II is used to predict the hub vibration and rotor performance. Using the IBC with a single harmonic input at 200 knots, the vibration index of the XH-59A rotor is minimized by about 62% when the 3/rev actuation frequency is applied with the IBC amplitude of 1° and control phase angle of 270° (3P/1°/270°); however, the rotor effective lift-to-drag ratio decreases by 3.43%. …”
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Associations between cerebral blood flow and progression of white matter hyperintensities by Siriluk Thammasart, Danielle J. Harvey, Pauline Maillard, Charles DeCarli, Corinne A. Donnay, Gregory J. Wheeler, Audrey P. Fan, Audrey P. Fan

“…Longitudinally, WMHs that increased in size over a two-year period had lower baseline rCBF than those that remained stagnant, particularly in juxtaventricular and periventricular regions.DiscussionThis study not only highlights the predictive value of rCBF in WMH progression but also provides location-specific hemodynamic information about WMHs that can guide clinical management of WMH-related brain changes and their clinical manifestations.…”
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First-principles investigation of local atomic environment and its impact on properties in non-equiatomic CoCrFeNi high-entropy alloys by Qingxu Tian, Fuhui Chen, Peter K. Liaw, Yang Tong, Shuying Chen, Fanchao Meng

“…Employing first-principles calculations, the local atomic environment (LAE), including local lattice distortion (LLD), charge transfer effect (CTE), and short-range order (SRO), was investigated in 105 sets of non-equiatomic CoCrFeNi high-entropy alloys (HEAs). A predictive model for lattice constant vs. alloy composition was established. …”
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Time-Varying Compressive Strength Model of Aeolian Sand Concrete considering the Harmful Pore Ratio Variation and Heterogeneous Nucleation Effect by Yugen Li, Huimei Zhang, Xiaoyu Liu, Guangxiu Liu, Dawei Hu, Xiangzhen Meng

“…At last, a time-varying compressive strength model of ASC considering the harmful pore ratio variation and heterogeneous nucleation effect was established based on the discussion, published date, and American Concrete Institute (ACI) model, which agrees well with the experimental results and can easily predict the strength of concrete.…”
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AFD and chaotic map‐based integrated approach for ECG compression, steganography and encryption in E‐healthcare paradigm by Neetika Soni, Indu Saini, Butta Singh

“…The performance of the three processes is evaluated in terms of distortion (both statistical and clinical), compression [(compression ratio (CR) and quality score], steganography [embedding capacity (EC), bit error rate], and encryption (sensitivity, predictivity, correlation coefficient). By implementing on 48 records of Massachusetts Institute of Technology‐Beth Israel Hospital arrhythmia database and varying N from 15 to 120, the proposed work achieves average CR, EC, and percentage residual difference of 62.39–11.79, 7 × 10−3–6 × 10−2 and 3.77–0.32, respectively, with a highly linear relationship among them. …”
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Study on the impact parameters of convective heat transfer in industrial-scale Siemens reactor by Xingping Yuan, Dan Zhao, Yanqing Hou, Ni Yang, Wenhui Ma, Fengyang Chen, Gang Xie

“…Consequently, the established forced CHT model and correlation equation can effectively predict CHT in industrial-scale Siemens reactors. …”
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Non-invasive Evaluation of Electromechanical Transmission in Patients with Hypertensive Response to Exercise Stress Test by Ahmet Ferhat KAYA, Mehmet Hasan OZDIL, Cemalettin YILMAZ, Raif KILIC, Mehmet OZBEK, Hasan KAYA

“…Conclusions: Early detection of electromechanical delay non-invasively may be useful in this patient group in predicting the development of new AF risk.…”
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The Relationship between Health-Promoting Behaviors and Resilience in Patients with Chronic Kidney Disease by Li-Ching Ma, Hong-Jer Chang, Yueh-Min Liu, Hsiang-Li Hsieh, Lan Lo, Mei-Yu Lin, Kuo-Cheng Lu

“…Multiple regression analysis found that factors which could effectively predict resilience in patients at high-risk for CKD were gender, whether the patient had a job, nutrition, self-actualization, and stress level, accounting for 69.7% of the variance. …”
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OPN Polymorphism Is Related to the Chemotherapy Response and Prognosis in Advanced NSCLC by Yanzhang Hao, Jianwei Liu, Ping Wang, Feng Wang, Zeshun Yu, Mianli Li, Shaoshui Chen, Fangling Ning

“…OPN −443C>T gene polymorphism may be used as a molecular marker to predict the treatment response to chemotherapy in advanced NSCLC patients.…”
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Research on influential factors of crack propagation depth of unsaturated residual soils under short-term variations in external air pressure by Xu-tang Xu, Wen-bin Jian, Ye-qing Cai, Xiang-long Chen

“…The variation rule of the theoretical crack depth calculated in this research shows consistency with the previous equations, and the model predictions at Δua = 3kPa are proved to match well with the measured results of the practical engineering subjected to various climate environment factors.…”
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AURKB affects the proliferation of clear cell renal cell carcinoma by regulating fatty acid metabolism by Yang Yang, Dan Li, Zhigang Liu, Kai Zhou, Wenxing Li, Yanqi Yang, Ruifang Sun, Yulong Li

“…Results TIMER2.0 showed that AURKB was overexpressed in Kidney Renal Clear Cell Carcinoma (KIRC), the UALCAN database showed the survival rate of KIRC patients with different expression levels of AURKB and different gender indicated in the same gender, high AURKB expression predicts lower survival rate. Silencing of AURKB expression inhibits the proliferation of ccRCC cells. …”
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Significance of Preoperative Systemic Immune Score for Stage I Gastric Cancer Patients by Jun Lu, Long-long Cao, Ping Li, Jian-wei Xie, Jia-bin Wang, Jian-xian Lin, Qi-yue Chen, Mi Lin, Ru-hong Tu, Chang-ming Huang, Chao-hui Zheng

“…Systemic inflammation factors were used to develop a scoring system for predicting AC benefits. Results. With a median follow-up of 47 months (range 3–113 months), the 5-year overall survival (OS) rate was 90.5%. …”
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Mining versatile feruloyl esterases: phylogenetic classification, structural features, and deep learning model by Liang Guo, Yuxin Dong, Deyong Zhang, Xinrong Pan, Xinjie Jin, Xinyu Yan, Yin Lu

“…Finally, to expand the repertoire of versatile FEs, we employed deep learning models to predict potentially promiscuous enzymes and identified 38 and 75 potential versatile FEs from cluster 1 and cluster 3 with a probability score exceeding 90%. …”
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Integrated land use land cover-energy modeling framework for solar energy planning in the future expansion areas; the case of Luxor city Region, Egypt by Mohammed Hussien Yadem Lamien, Hooman Farzaneh

“…The model integrates Cellular Automata and Markov chain methods to predict future simulated land use land cover and expansion areas, considering the impact of both physical and neighborhood driving factors. …”
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Declines in anthropogenic mercury emissions in the Global North and China offset by the Global South by Xinran Qiu, Maodian Liu, Yuanzheng Zhang, Qianru Zhang, Huiming Lin, Xingrui Cai, Jin Li, Rong Dai, Shuxiu Zheng, Jinghang Wang, Yaqi Zhu, Huizhong Shen, Guofeng Shen, Xuejun Wang, Shu Tao

“…In 2021, Global South countries produced two-thirds of global emissions, despite comprising only one-fifth of the global economy. We predict that, although large uncertainties exist, continued emission growth in Global South countries under a business-as-usual scenario could increase 10%-50% global mercury emissions by 2030. …”
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