A TOPSIS-Based Improved Weighting Approach With Evolutionary Computation by Mithat Zeydan, Murat Güngör, Burak Urazel

“…First, factor weights to be used in customer evaluation are found by solving a nonlinear optimization problem using the covariance matrix adaptation evolutionary strategy (CMAES) under fuzzy environment that takes a pairwise comparison matrix as input. …”
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Enhancing english oral translation through cross-modal learning and synchronous optimization. by Yan Wang

“…Subsequently, the text sequence derived from this process is amalgamated with the original speech features via Bidirectional Encoder Representations from Transformers (BERT). …”
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Chromosome-level genome assembly of Triplophysa scleroptera by Xiu Feng, Ren Zhu, Yintao Jia, Xiaoyun Sui, Xiaoling Wang, Yu Zhuo, Junle Li, Yifeng Chen

“…Here, by using PacBio HiFi sequencing and Hi-C assembly technology, we assembled a chromosome-level genome of T. scleroptera, with a total length of 660.22 Mb and 99.82% of the sequence anchored to 25 chromosomes. …”
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<italic>M</italic>-ary overmodulation based on cyclic shift symbols for pilot-free short packet communication scheme by XIU Menglei, DOU Gaoqi, WANG Hao

“…The scheme adopted cycle code shift keying (CCSK) to modulate pseudo noise (PN) sequences, and used <italic>M</italic>-ary overmodulation sequences to perform secondary modulation on multiple CCSK symbols. …”
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Meeting needs: value chain collaboration in stabilisation and reconstruction operations by Sebastiaan Rietjens, John Goedee, Stijn Van Sommeren, Joseph Soeters

“…From there on, different values and perspectives developed during the sequence of the various stages in the value chain that were not easily aligned. …”
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Antimicrobial Peptide Databases as the Guiding Resource in New Antimicrobial Agent Identification via Computational Methods by Bogdan Marczak, Aleksandra Bocian, Andrzej Łyskowski

“…The redundancy of the data was also evaluated. Collected information was used for an in silico evaluation of the selected species’ venom proteomes in order to identify putative antimicrobial peptide candidates. …”
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MaskDGNets: Masked-attention guided dynamic graph aggregation network for event extraction. by Guangwei Zhang, Fei Xie, Lei Yu

“…Finally, the proposed MaskDGNets framework is evaluated on two baseline datasets, DuEE and CCKS2020. …”
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Using Deep Learning to Improve Short-term Climate Prediction of Summer Precipitation in Southwestern China by Haoyuan ZHANG, Panjie QIAO, Wenqi LIU, Yongwen ZHANG

“…In recent years， Southwestern China， including Yunnan， Guizhou， Sichuan， and Chongqing， has been frequently hit by flood disasters caused by climate change， resulting in severe casualties and enormous property losses.The occurrence of these disasters is closely related to abnormal precipitation.Although traditional statistical methods and atmospheric models have achieved certain effectiveness in precipitation forecasting， effective approaches for dealing with the complex spatiotemporal characteristics of precipitation data are still lacking.With the development of machine learning technology， the convolutional long short-term memory network （ConvLSTM）， which integrates convolutional neural networks （CNN） and long short-term memory networks （LSTM）， has shown outstanding performance in addressing spatiotemporal sequence problems， particularly in the field of precipitation forecasting.In order to more accurately predict the summer precipitation in the southwestern region of China for the next year （short-term climate prediction of precipitation）， this study constructed a dataset by integrating global sea surface temperature and precipitation data in Southwestern China.The ConvLSTM was used for training and named SST-ConvLSTM.This model not only captures the spatiotemporal characteristics in real precipitation data but also learns some information from global sea surface temperature data， thereby enhancing the accuracy of short-term climate prediction of precipitation.The results show that compared to ConvLSTM that does not consider sea surface temperature and a traditional atmospheric model， SST-ConvLSTM model has significant advantages in short-term climate prediction of summer precipitation in Southwestern China.（1） Numerically， the predictions of the SST-ConvLSTM model are closest to the real precipitation data， with similar trend changes.In contrast， both ConvLSTM and the traditional atmospheric model show certain deviations in their predictions.（2） Spatially， the SST-ConvLSTM model also performs well.Its predictions are consistent with the spatial distribution of real precipitation data and accurately reflect the spatial distribution of precipitation.（3） In model evaluation， three evaluation metrics were used to assess the performance of the SST-ConvLSTM model.The results show that the SST-ConvLSTM model performs well in all evaluation metrics and achieves the best scores.These findings provide important references and insights for future research on precipitation prediction in Southwestern China.…”
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ClusterEmbed: Efficient Protein Structure Prediction with Clustering and Embeddings by Mu Bowei

“…We evaluated ClusterEmbed across five experiments, testing variables such as sequence set size, clustering sensitivity, and embedding model type against metrics including RMSD, TM-score, GDT-TS, and computational efficiency.…”
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Investigating difficult to detect pancreatic lesions: Characterization of benign pancreatic islet cell tumors using multiparametric pancreatic 3-T MRI. by Kwadwo Antwi, Patricia Wiesner, Elmar M Merkle, Christoph J Zech, Daniel T Boll, Damian Wild, Emanuel Christ, Tobias Heye

“…In-phase T1w detected the most PICT (67.3%). Depending on the sequence, PICTs were isointense and poorly visible in 29-68%. …”
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Reproductive problems in water buffalo cows associated with non-diagnosed genital lepto- spirosis. Preliminary results by Rosaura Pérez-Gil

“…., by using two pairs of primer for the markers, G1-G2 derived from a sequence from the genomic library of L. interrogans serovar icterohaemorragiae, strain RGA, which was described by Gravekamp et al. (1993) and Internal 1 and Internal 2 derived from the sequence of the gene encoding the LipL32 protein and specific to identify pathogenic Leptospira, described by Haake et al. (2000). …”
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Oil and gas accumulation characteristics of the third submember of the first member of Dainan Formation in deep layers of Gaoyou Sag, Subei Basin by LI Shuyu, FAN Lixin, XIA Lianjun, ZHANG Juan, HE Junqing, ZHANG Hao, LI Yuezhe

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Assessment of Inter-Reader Reliability of Fazekas Scoring on Magnetic Resonance Imaging of the Brain in Adult Patients with Sickle Cell Disease by Aoife M. Haughey, Roisin M. O’Cearbhaill, Stephanie Forté, Joanna D. Schaafsma, Kevin H. M. Kuo, Igor Gomes Padilha

“…<b>Conclusions</b>: We conclude on the basis of our study that there is good inter-reader reliability of Fazekas scoring on axial FLAIR MRI brain sequence in patients with sickle cell disease. The Fazekas is a promising measure that could easily be integrated in systematic evaluation of cerebrovascular lesions of adults with sickle cell disease.…”
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A novel signal peptide toolbox for optimized heterologous expression of yeast pheromones in Bacillus subtilis by Tomislav Vološen, Henri Max Deda, Anica Walther, Philipp F. Popp, Thorsten Mascher, Diana Wolf

“…We developed an integrative evaluation vector in which the promoter, SPs, and a coding sequence (CDS) of the POI are easily exchangeable. …”
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The Value of Individual Screen Response Time in Predicting Student Test Performance: Evidence from TIMSS 2019 Problem Solving and Inquiry Tasks by Bin Tan, Okan Bulut

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Localization and Content Validation of the Organizational Readiness of Implementing Evidence-based Practices Scale by CHEN Jiajia, CAI Yiyuan, YANG Wei, MAO Run, LINGHU Lang, XU Dong

“…After two rounds of the Delphi method to refine the construction of three dimensions and expressions of 11 items, the I-CVI were from 0.73 to 1.00, the Kappa value were from 0.70 to 1.00, and the S-CVI was over 0.92. All evaluation matrices of the hierarchical analysis method met the requirement of consistency ratio (CR < 0.1), and the weights of five dimensions were 0.2083, 0.2022, 0.1907, 0.2193, and 0.1795, in sequence. …”
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“In the days of my life.” Elite activity and interactions in the Maya lowlands from Classic to Early Postclassic times (the long ninth century, AD 760-920) by Marie Charlotte Arnauld, Chloé Andrieu, Mélanie Forné

“…Although hardly appropriate, the degree of chronological resolution reached by Maya Lowland archaeology allows us to tentatively evaluate the Terminal Classic sequence using the generational time span. …”
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Day–Night Energy-Constrained Path Planning for Stratospheric Airships: A Hybrid Level-Set Particle Swarm Optimization (LS-PSO) Framework in Dynamic Flows by Cheng Liu, Xiang Li, Jinggang Miao, Yu Feng, Chunjiang Bian

“…Firstly, it employs PSO to search iteratively for a propulsion velocity sequence in the velocity domain, with a multi-objective fitness function that integrates reachability, energy consumption and time cost to evaluate each velocity sequence. …”
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Improving Power Quality of a Hybrid Grid-Connected Photovoltaic–Wind Microgrid Using Shunt Active Power Filter and Distribution Static Synchronous Compensator by Ehsan Akbari, Abbas Zare Ghaleh Seyyedi

“…The SAPF relies on estimating the fundamental frequency positive-sequence component (FFPSC) of the load current by applying the second-order sequence filter (SOSF). …”
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Soil moisture obtained through remote sensing to assess drought events by Tiago de M. Inocêncio, Alfredo Ribeiro Neto, Alzira G. S. S. Souza

“…ABSTRACT The sequence of drought events in the Northeast of Brazil in recent decades raises attention to the importance of studying this phenomenon. …”
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