Design of Experiment as a powerful tool when applying Finite Element Method: a case study on prediction of hot rolling process parameters by Giancarlo Giuseppe Bordonaro, Riccardo Leardi, Luca Diviani, Filippo Berto

“…Nonlinear 3D FE models of the hot rolling process are developed for a large set of complex cross-section shapes and validated against experimental evidences provided by real plant products at each stage of the deformation sequence. Based on the accuracy of the validated FE models, DOE is applied to investigate the flat rolling process under a series of many parameters and scenarios. …”
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Design of Network Service Transmission with LDPC Coding in Space Laser Communication by ZHANG Xiaole, TAN Xiaochuan, LI Zhe

“…Setting an appropriate operational cycle at the transmitting end to process Ethernet frames, through operations such as framing, packet assembly, and filling with random sequences, enables Ethernet traffic of different frame lengths and rates to adaptively match the information segment length of the LDPC encoding module, thereby fully utilizing the efficiency of LDPC encoding. …”
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Contribution of OqxAB Efflux Pump in Selection of Fluoroquinolone-Resistant Klebsiella pneumoniae by Orsolya Szabo, Bela Kocsis, Nikolett Szabo, Katalin Kristof, Dora Szabo

“…Mutation in gyrA and parC genes was analyzed in each strain and multilocus sequence typing (MLST) was performed. Ciprofloxacin exposure selected resistant strain from K. pneumoniae SE191; by contrast, K. pneumoniae SE23 was not adjustable to the increasing ciprofloxacin concentrations. …”
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The helper strategy in vector-transmission of plant viruses by Di Mattia, Jérémy, Zeddam, Jean-Louis, Uzest, Marilyne, Blanc, Stéphane

“…In addition, while it had consistently been shown that the sequential acquisition of HC and virus particles could only work when HC was acquired first, a recent report shows that the reverse acquisition sequence can work in some case, again questioning the bridge hypothesis as a universal mode of action. …”
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The problem of conservation of gene pools of domesticated animals by Yu. A. Stolpovskiy, I. A. Zakharov-Gezekhus

“…Using ISSR-fingerprinting (Inter Simple Sequence Repeats) some data were obtained, allowing us to determine the coefficient of genetic originality, to analyze population structure, to uncover similarities and differences, to identify and evaluate consolidation, breed purity and genealogical relationships of gene pools in a number of species (inbreeding). …”
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Molecular detection of Escherichia coli from ovine aborted fetuses in Mosul city, Iraq by Aamer Y. Al-Chalaby, Omer K. Alhankawe, Balsam Y. Rasheed

“…The amplified 23SrRNA gene was sequenced and analyzed. The isolation results showed that Escherichia coli was detected in 10% of the specimens. …”
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Transformer-based malware detection using process resource utilization metrics by Dimosthenis Natsos, Andreas L. Symeonidis

“…This study is the first to explore the application of Transformers for malware detection using process resource-utilization metrics, encoding input data as sequences of processes, with each process represented by its resource-utilization metrics (e.g., CPU, memory, and disk usage). …”
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A novel signal detection algorithm of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time for underwater acoustic networks based on the improved minimum me... by Gaoli Zhao, Jianping Wang, Junping Song, Wei Chen

“…Second, we order the detection sequence based on the permutation matrix. Third, we detail the implementation of interference cancelation and slice processing. …”
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A novel conceptual model for Dansgaard–Oeschger event dynamics based on ice-core data by J. O. Melcher, S. Halkjær, P. Ditlevsen, P. L. Langen, G. Vettoretti, S. O. Rasmussen

“…This allows our model to achieve unprecedented precision in capturing a realistic sequence of DO events with timing characteristics matching those of the observational record. …”
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A Dynamic Interval Auto-Scaling Optimization Method Based on Informer Time Series Prediction by Yu Ding, Chenhao Li, Zhengong Cai, Xinghao Wang, Bowei Yang

“…In the experiments conducted on the official World Cup forum load and Alibaba cluster CPU load, the Informer time series prediction algorithm demonstrated better long-sequence time series prediction capabilities compared to algorithms such as LSTM and RNN. …”
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PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…We present a deep neural network architecture based on a combination of bidirectional recurrent neural networks and convolutional layers that can analyze long-range interactions within protein sequences and predict protein RSA using ESM-2 encoding. …”
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Informative EST-SSR markers for genotyping and intraspecific differentiation of Brassica oleracea var. capitata L. by M. N. Shapturenko, T. V. Pechkovskaya, S. I. Vakula, A. V. Jakimovich, Yu. M. Zabara, L. V. Khotyleva

“…Among microsatellites, EST-SSR are most interesting, because they are directly linked to the expressed sequences and for that reason are widely used for analysis of genetic diversity and population structure. …”
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Noncanonical IFN Signaling, Steroids, and STATs: A Probable Role of V-ATPase by Howard M. Johnson, Ezra Noon-Song, Chulbul M. Ahmed

“…Related to this, IFNγ-activated STAT1 binds to the IFNγ-activated sequence (GAS) element, but so do other STATs that are not involved in IFNγ signaling. …”
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Planning of construction supply system in constrained conditions using the dynamic programming method by Ya. D. Ageeva, Yu. A. Chirkunov, A. A. Lapidus

“…Dynamic programming allows you to consider an optimization problem as a sequence of subproblems that can be solved separately and then combined into an overall solution. …”
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The effect of stroboscopic vision training on the performance of elite curling athletes by Tianhe Li, Xiaoyao Wang, Zhiqiang Wu, Yapu Liang

“…The training regimen consisted of a ‘ladder’ drill targeting the house (effective zones 4–10), with the sequence of training increasing and then decreasing in complexity. …”
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Isolation, characterization and control of Botrytis spp. pathogenic on strawberry in Iran by Fatemeh Maghsoodi, Parissa Taheri, Saeed Tarighi

“…Following purification of the fungi, of the 54 isolates, 53 isolates were identified as B. cinerea and 1 isolate belonged to B. pelargonii based on morphological and molecular (ITS and RPB2 sequences) identification. The EO obtained from F. gummosa at 125, 250, 500, 750 and 1000 μg mL−1 concentrations showed significant antifungal effect on mycelial growth of B. cinerea and B. pelargonii in a dose dependent manner. …”
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Exceptional Enlargement of the Mitochondrial Genome Results from Distinct Causes in Different Rain Frogs (Anura: Brevicipitidae: Breviceps) by Keitaro Hemmi, Ryosuke Kakehashi, Chiaki Kambayashi, Louis Du Preez, Leslie Minter, Nobuaki Furuno, Atsushi Kurabayashi

“…To investigate the evolutionary lineage, timing, and process of mt genome enlargement, we sequenced the complete mtDNAs of two congeneric rain frogs, B. mossambicus and B. poweri. …”
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Community Health Insurance Schemes and Access to Quality Health Services in Rural Areas: A Case of Kasaana Sub-County, Sheema District, Uganda by Ronald, Nuwagaba

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Community Health Insurance Schemes and Access to Quality Health Services in Rural Areas: A Case of Kasaana Sub-County, Sheema District, Uganda by Nuwagaba, Ronald, Moses, Agaba

“…Pearson Correlation Coefficient was also used first to examine associations between variables, presented in a correlation matrix style. Finally, a sequence of Multiple Regression Analyses was employed to test the hypothesis and to identify the nature and extent of relationship. …”
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Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution by Samuel, Kakuba, Alwin, Poulose

“…Recurrent neural networks (RNN) like long short-term memory (LSTM), gated recurrent units (GRU) and their variants that operate sequentially are often used to learn time series sequences of the signal, analyze long-term dependencies and the contexts of the utterances in the speech signal. …”
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