RESEARCH ON RADIAL ACCURACY IN METAL SHEET SINGLE POINT INCREMENTAL FORMING PROCESS by FAN Yuan, LI Yan, YANG MingShun, YAO ZiMeng, BAI Lang

“…The reasons which affect the radial accuracy in metal sheet single point incremental forming process were analyzed,the finite element model of single point incremental forming was established by the finite element analysis software ABAQUS and the 1060 Aluminum was selected as material of sheet,the impact of process parameters such as tool diameter,layer step,feeding speed,sheet thickness,forming angle on deviation were analyzed respectively. …”
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Do submesoscale frontal processes ventilate the oxygen minimum zone off Peru? by S. Thomsen, T. Kanzow, F. Colas, V. Echevin, G. Krahmann, A. Engel

“…In a regional submesoscale‐permitting model we study the pathways of newly upwelled water. …”
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Study on Heat and Mass Transfer of Vacuum Freeze-drying Process for Blood Vessels by Gui Chao, Tao Leren, Zhang Yaqi

“…For the sublimation drying process, the quasi-steady heat transfer model combined with the change in the dehydration rate could be used to calculate the change law of sublimation temperature, sublimation interface displacement, and heat transfer on each surface. …”
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Entropy optimized radiative boundary layer flow and heat-mass transfer of Ag− water based nanofluid with Binary chemical reaction over a wedge by Samia Nasr, Sohail Rehman, Naeem Ullah, Taoufik Saidani, Iskandar Shernazarov

“…The study of boundary layer flow (BLF) with heat-mass transfer of binary chemical processes and nanofluids (NF) over a wedge is essential for improving heat transfer and reaction kinetics in applications including processing of material technologies, chemical reactors, and energy-efficient cooling mechanisms. …”
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Experimental investigation on failure processes and characteristics of landslide dams with different inflow conditions by Zhaozhao Liu, Qun Chen, Chen Wang, Cheng Zhou, Xing Li, Chen Chen

“…The tested results showed that the failure process of landslide dam undergoing coupled erosion with seepage and overtopping included piping, slope erosion, settlement, breach evolution, large-scale scouring and formation of armor layer. …”
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Application of Large-Scale Rotating Platforms in the Study of Complex Oceanic Dynamic Processes by Xiaojie Lu, Guoqing Han, Yifan Lin, Qian Cao, Zhiwei You, Jingyuan Xue, Xinyuan Zhang, Changming Dong

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On the processes determining the slope of cloud water adjustments in weakly and non-precipitating stratocumulus by F. Hoffmann, Y.-S. Chen, Y.-S. Chen, G. Feingold

“…In this study, we utilize a simple entrainment parameterization used in mixed-layer models to determine entrainment-mediated cloud water adjustments in weakly and non-precipitating stratocumulus. …”
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Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification by Modigari Narendra, T. S. Harshini, L. Jani Anbarasi

“…This study aims to develop a skin disease classification system using a multimodal approach, integrating ensemble methodology using DenseNet169 – Resnet50 ensemble Transfer learning models, and Natural Language Processing (NLP) within a Telegram chatbot interface. …”
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ResnetCPS for Power Equipment and Defect Detection by Xingyu Yan, Lixin Jia, Xiao Liao, Wei Cui, Shuangsi Xue, Dapeng Yan, Hui Cao

“…The Cross-Layer Parameter Sharing framework not only reduces the overall number of model parameters but also decreases training time. …”
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Progression in Time of Dentate Gyrus Granule Cell Layer Widening due to Excitotoxicity Occurs along In Vivo LTP Reinstatement and Contextual Fear Memory Recovery by Karina Hernández Mercado, Araceli Martínez Moreno, Luis Francisco Rodríguez Durán, Martha L. Escobar, Angélica Zepeda

“…An abnormal DG granule cell layer (GCL) widening due to granule cell dispersion has been reported under hyperexcitation conditions in animal models as well as in patients with mesial temporal lobe epilepsy, but also in patients with no apparent relation to epilepsy. …”
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Swift prediction of personalized head and chest organ doses from CT examinations via neural networks with optimized quantity of hidden layers and radiomics features by Wencheng Shao, Xin Lin, Ying Huang, Liangyong Qu, Weihai Zhuo, Haikuan Liu

“…Fully-connected neural networks (FCNN) were trained with radiomics features to predict organ doses. The FCNN model was optimized by adjusting the number of input radiomics features and FCNN layers. …”
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Detection of Atrial Fibrillation in Holter ECG Recordings by ECHOView Images: A Deep Transfer Learning Study by Vessela Krasteva, Todor Stoyanov, Stefan Naydenov, Ramun Schmid, Irena Jekova

“…The top-ranked DNNs evaluated on 11,400 test samples from independent records are the retrained EfficientNetV2B1 (96.3% accuracy with minimal inter-patient (1%) and inter-lead (0.3%) drops), and fine-tuned EfficientNetV2B1 and DenseNet-121, -169, -201 (97.2–97.6% accuracy with inter-patient (1.4–1.6%) and inter-lead (0.5–1.2%) drops). These models can process shorter ECG episodes with a tolerable accuracy drop of up to 0.6% for 20 s and 4–15% for 10 s. …”
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Resilience Analysis of Coupling Combat Network: Considering Multiple Destruction-Recovery Processes by Yuheng Dang, Huixiong Wang, Zimeng Yin, Xing Pan

“…As such, this paper proposes an analysis framework of resilience based on the CCN modeling. Then, considering multiple and continuous strikes from enemies, a resilience modeling and assessment method is developed based on trend analysis for multiple destruction-recovery processes (DRPs). …”
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Highly efficient and rapid removal of Congo red dye from textile wastewater using facile synthesized Mg/Ni/Al layered double hydroxide by Eslam A. Mohamed, Hend M. Ahmed, Amal A. Altalhi, Hamdan A. S. Al-Shamiri, Nabel A. Negm

“…The efficiency of the uptake process was increased from 84 to 97% after the thermal treatment process, and the adsorption process tracked the Freundlich adsorption isotherm and pseudo-second-order kinetic model. …”
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Refined equations and buckling modes under four-point bending loading of the sandwich test specimen with composite facing layers and a transversely flexible core by V.N. Paimushin, M.V. Makarov

“…A refined geometrically nonlinear theory of sandwich plates and shells with a flexible soft core and composite facing layers having low shear and compressive stiffness was introduced. …”
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r-process Nucleosynthesis and Radioactively Powered Transients from Magnetar Giant Flares by Anirudh Patel, Brian D. Metzger, Jared A. Goldberg, Jakub Cehula, Todd A. Thompson, Mathieu Renzo

“…We confirm using nuclear reaction network calculations that these ejecta synthesize moderate yields of third-peak r -process nuclei and more substantial yields of lighter r -nuclei, while leaving a sizable abundance of free neutrons in the outermost fastest expanding ejecta layers. …”
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Research on Seamless Fabric Defect Detection Based on Improved YOLOv8n by Qin Sun, Bernd Noche, Zongyi Xie, Bingqiang Huang

“…In addition, adding a small object detection layer particularly improves the detection accuracy of the model for small-sized defects, making it no longer limited to traditional models when dealing with high-density fabrics or small defects. …”
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Gag-Pol processing during HIV-1 virion maturation: a systems biology approach. by Balázs Könnyű, S Kashif Sadiq, Tamás Turányi, Rita Hírmondó, Barbara Müller, Hans-Georg Kräusslich, Peter V Coveney, Viktor Müller

“…The process has several layers of complexity (multiple cleavage sites and substrates; multiple enzyme forms; PR auto-processing), which calls for a systems level approach to identify key vulnerabilities and optimal treatment strategies. …”
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Multi‐Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation by Samad Azimi Abriz, Mansoor Fateh, Fatemeh Jafarinejad, Vahid Abolghasemi

“…This approach enhances model training and prevents overfitting. For vanishing gradients, a deep neural network is introduced with optimized weight updates in initial layers, enabling the use of more and deeper layers. …”
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Exploring relative instances of exposure in equilibrium of migration processes based on population characteristics by László Pitlik, Péter Kollár, Zsolt Fülöp, Imre Madarász

“…The modeling philosophy should try to ensure a kind of regional multi-layered equilibrium (sustainability, cf. …”
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