Networks of pre-diagnostic circulating RNA in testicular germ cell tumour by Joshua Burton, Trine B. Rounge, Trine B. Haugen, Marcin W. Wojewodzic

“…Central genes (hub genes) enriched functional pathways, and regulatory feature prediction were identified for all TGCT subtypes together and according to histology. …”
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Study on the Axial Compression Postbuckling Similitude Model of the Stiffened Cylindrical Shell with Dimple Imperfections by Jiawei Ding, Xinkui Xing, Wei Yu, Wanxu Zhu

“…The analysis results show that the complete similitude analysis of stiffened cylindrical shell axial-compression nonlinear buckling can be realized accurately; the partial similitude model for stiffened cylindrical shell axial-compression nonlinear buckling can better predict the buckling characteristics of its prototype structures, and the closer the Poisson’s ratio between the model and the prototype materials is, the more accurate the prediction results are. …”
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Advances in Immunotherapy for Melanoma: A Comprehensive Review by Carmen Rodríguez-Cerdeira, Miguel Carnero Gregorio, Adriana López-Barcenas, Elena Sánchez-Blanco, Beatriz Sánchez-Blanco, Gabriella Fabbrocini, Brunilda Bardhi, Ardiana Sinani, Roberto Arenas Guzman

“…In this comprehensive review, we describe recent advancements in the development of immunotherapies for melanoma, with a specific focus on the identification of neoantigens for the prediction of their elicited immune responses. This review is expected to provide important insights into the future of immunotherapy for melanoma.…”
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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…The methodology uses an ensemble of temporal dynamic models to provide uncertainty estimates in the prediction. This work focuses on the dimensionality reduction step of the ROPE development process and addresses three limitations of the proof‐of‐concept: (a) extending the altitude upper boundary from 450 km to nearly 1000 km, (b) employing deep learning for nonlinear dimensionality reduction over principal component analysis (PCA) for improved performance during storm periods, and (c) maintaining the spatial resolution of the physical TIE‐GCM model, without down‐sampling, to preserve the spatial scales and variations. …”
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Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition by El Ibrahimi Aissam, Elzaar Abdellah, El Akchioui Nabil, Benaya Nabil, El Allati Abderrahim

“…Existing literature often proposes complex architectures, which can hinder real-time prediction speed and accuracy. In this paper, we propose a novel Deep Learning architecture based on Convolutional Neural Networks (CNNs) for accurate classification of Arabic handwritten characters. …”
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Nutrition and Reproductive Health: Sperm versus Erythrocyte Lipidomic Profile and ω-3 Intake by Gabriela Ruth Mendeluk, Mariano Isaac Cohen, Carla Ferreri, Chryssostomos Chatgilialoglu

“…Fatty acid analyses of sperm and erythrocyte cell membrane phospholipids in idiopathic infertile patients evidenced that erythrocyte contents of EPA, DHA, omega-6–omega-3 ratio and arachidonic acid provide a mathematical correspondence for the prediction of EPA level in sperm cells. The erythrocyte lipidomic profile of patients was significantly altered, with signatures of typical Western pattern dietary habits and no fish intake. …”
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Product collaborative filtering based recommendation systems for large-scale E-commerce by Trang Trinh, Van-Ho Nguyen, Nghia Nguyen, Duy-Nghia Nguyen

“…Future work will focus on applying multi-model to enhance the accuracy of prediction and configuration to optimize the cost of cluster operations.…”
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Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network by Liping Fan, Pengju Yang

“…The mean absolute percentage error (MAPE) of the ICS-BP forecasting model was 1.13%, which was very close to an ideal prediction model, and was 52.3, 32.8, and 42.3% lower than that of conventional BP, cuckoo search improved BP, and particle swarm optimization improved BP, respectively, and the root mean square error (RMSE), mean absolute error (MAE), and mean square error (MSE) of ICS-BP were reduced by 75.6, 70.6, and 94.0%, respectively, compared to conventional BP. …”
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Research on a Rotating Machinery Fault Prognosis Method Using Three-Dimensional Spatial Representations by Xiaoni Dong, Xiaodong Zhang, Zaichao Ma, Guangrui Wen, Zhifen Zhang

“…The results from simulation and experimental analysis on a complex compressor show that the proposed method can present the real operational status and clearly reveal early faults, thus demonstrating great potential for condition-based maintenance prediction in industrial machinery.…”
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Methylene Blue-Aided In Vivo Staining of Central Airways during Flexible Bronchoscopy by Sabine Zirlik, Kai M. Hildner, Markus F. Neurath, Florian S. Fuchs

“…Previous small case series suggested that analysis of the bronchial mucosal surface using chromoendoscopy allows a prediction between neoplastic and nonneoplastic lesions. …”
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Modeling the effect of climate change to the potential invasion range of Piper aduncum Linnaeus by J.C. Paquit, R.I.P. Rama

“…Only 9% of the province is suitable for the species at present but is predicted to increase to 27% because of climate change. …”
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Islamic Stocks and Russia – Ukraine War: Evidence from the Jakarta Islamic Index by Erna Listyaningsih, Amirul Mukminin, Lenny Marzulina, Kasinyo Harto, Muhammad Rachmad, Muazza Muazza

“…These characteristics lead to the prediction that the JII be able to withstand this shock. …”
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Many faces of dominance: the manifestation of cohabiting companion dogs’ rank in competitive and non-competitive scenarios by Kata Vékony, Péter Pongrácz

“…The finer analysis of the results highlighted that in the case of a multi-question scoring system, some components might provide more effective prediction of the dogs’ rank-related behaviour in some situations, while other components are more relevant in others, with traits related to agonistic dominance having relevance across contexts.…”
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Drag Reduction and Performance Improvement of Hydraulic Torque Converters with Multiple Biological Characteristics by Liu Chunbao, Li Li, Lei Yulong, Liu Changsuo, Zhang Yubo

“…The biological characteristics consisted of fish-like blades in all four wheels, dolphin-like structure in the first turbine and the stator, and nonsmooth surfaces in the pump. The prediction performance of bionic YJSW335, obtained by computational fluid dynamics simulation, was improved compared with that of the original model, and then it could be proved that drag reduction had been achieved. …”
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Soil Carbon Characteristics of a Fluvisol Affected by Aggregates from Two Tillage and Crop Regimes by Emmanuel Onweremadu, Frank Akamigbo, Chigozie Asiabaka

“…Aggregate size distribution was significantly (P < 0.05) influenced by tillage and crop type at 0 – 10 cm depth and soil carbon varied significantly (P < 0.05) with aggregate–size forms, tillage technique and crop species. Prediction of carbon behaviour in floodplain soils should take into consideration variability in ped forms, tillage method and crop types. …”
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Investigation of a Coolant Mixing Phenomena within the Reactor Pressure Vessel of a VVER-1000 Reactor with Different Simulation Tools by V. Sánchez, W. Jaeger, M. Boettcher, B. Truong

“…The Institute of Neutron Physics and Reactor Technology (INR) is involved in the qualification of coupled codes for reactor safety evaluations, aiming to improve their prediction capability and acceptability. In the frame of the VVER-1000 Coolant Transient Benchmark Phase 1, RELAP5/PARCS has been extensively assessed. …”
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A Comparative CFD Study on Simulating Flameless Oxy-Fuel Combustion in a Pilot-Scale Furnace by Mersedeh Ghadamgahi, Patrik Ölund, Tomas Ekman, Nils Andersson, Pär Jönsson

“…The current study presents a method to model the flameless oxy-fuel system, with a comparative approach, as well as validation of the predictions. The validation has been done by comparing the predicted results with previously published experimental results from a 200 kW pilot furnace. …”
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Stress intensity factors for mixed-mode crack growth in imitation models under biaxial loading by R.R. Yarullin, V.N. Shlyannikov, I.S. Ishtyriakov, M.M. Yakovlev

“…The advantages of using the computational and experimental results of imitation model II for verification and development of modern crack growth rates and lifetime prediction models are stated.…”
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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

“…Var Loss tends to decrease the fluctuation of prediction confidences, making model more robust in practical use. …”
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Research on M-Paul Dynamic Constitutive Relation of Q235B Steel by Li Lin, Bo Huang, Xinke Xiao, Minyuan Huang, Zhiying Liu

“…Therefore, a temperature-softening parameter was added into the temperature term of the original Paul model, and the modified M-Paul constitutive model was developed. Then, numerical prediction results obtained from Q235B steel penetration experiments using J-C (Johnson–Cook) and M-Paul constitutive models were compared. …”
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