A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…To provide an overview of published works in tourism, we used the systematic mapping study method. Articles were assessed based on various factors, including research topic, conceptual and theoretical descriptions, data sources, data types and sizes, data collection methods, data analysis techniques, and reporting and visualization methods. …”
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Map‐matching for cycling travel data in urban area by Ting Gao, Winnie Daamen, Panchamy Krishnakumari, Serge Hoogendoorn

“…The method is able to unveil variations in cyclist travel behavior, providing municipalities with insights to optimize cycling infrastructure and improve traffic management, such as by identifying high‐traffic areas for targeted infrastructure upgrades and optimizing traffic light settings based on cyclist waiting times.…”
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features by Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG

“…In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive fusion semantic segmentation network with three-layer structure was designed to learn the above three types of features from the source domain and target domain, respectively.Secondly, a self-supervised learning method jointing distribution confidence and semantic confidence was introduced into the single-level adversarial learning, so as to achieve the distribution alignment of more target domain pixels in the process of minimizing the distribution distance of the learnt features between domains.Finally, three adversarial branches and three adaptive sub-networks were jointly optimized by the multi-level adversarial learning method based on multi-modal features, which could effectively learn the invariant representation between domains for the features extracted from each sub-network.The experimental results show that compared with existing state-of-the-art methods, on the datasets of GTA5 to Cityscapes, SYNTHIA to Cityscapes, and SUN-RGBD to NYUD-v2 the proposed network achieves the best mean intersection over union of 62.2%, 66.9%, and 59.7%, respectively.…”
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The Ontology-Based Approach Supporting Holistic Energy-Tunnel Design considering Cost, Heat Flux, and System Feasibility by Kun Meng, Chunyi Cui, Cheng Zhang, Hailong Liu

“…However, the conventional methods for designing energy tunnels mostly rely on complex numerical models. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through a thorough analysis of relevant literature, we uncover the research trends and collaboration patterns in this field, which can provide valuable references and insights for further in-depth exploration in the same field.MethodsUsing the Web of Science (WOS) as the data source, this study explores academic development in a specific field from December 2013 to December 2023. …”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Based on the summary of the existing results, this paper proposes future development directions including real-time prediction and closed-loop optimization, multi-source data fusion, physical consistency modeling and interpretability enhancement, model migration, and online updating capability. …”
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Topology-Aware Multi-View Street Scene Image Matching for Cross-Daylight Conditions Integrating Geometric Constraints and Semantic Consistency by Haiqing He, Wenbo Xiong, Fuyang Zhou, Zile He, Tao Zhang, Zhiyuan Sheng

“…While deep learning-based image matching methods excel at extracting high-level semantic features from remote sensing data, their performance degrades significantly under cross-daylight conditions and wide-baseline geometric distortions, particularly in multi-source street-view scenarios. …”
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Rapid and greener vortex-assisted deep eutectic solvent-based dispersive liquid-liquid microextraction for spectroscopic determination of Hg in fuels by Mxolisi J. Kiwanuka, Philiswa N. Nomngongo, Nomvano Mketo

“…The optimized method was validated using NIST SRM 2778 with certified mercury concentration of 38.98 µg/kg ± 1.10 µg/kg. …”
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Analysis of the Structure of Nonlinear Distortions at Baseband Pulse Impacts Using Behavioral Nonlinear Models of Electrical Circuits by E. V. Semyonov

“…This, as a result, complicates the optimization of devices.Aim. To develop an approach capable of determining the contribution of various sources to the nonlinear distortion of baseband pulse signals.Materials and methods. …”
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Large-Space Laser Tracking Attitude Combination Measurement Using Backpropagation Algorithm Based on Neighborhood Search by Ziyue Zhao, Zhi Xiong, Zhengnan Guo, Hao Zhang, Xiangyu Li, Zhongsheng Zhai, Weihu Zhou

“…The absolute value of the system angle error can be less than 0.4° within 8 m and 0–50°, with an angle update rate of 100 Hz. The research method in this paper can be applied to the dynamic measurement of laser tracking attitude angles, which provides a new reference for the angle measurement method based on the fusion of multi-source information.…”
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Water Level Variation Monitoring in East Lake, Wuhan Based on Satellite Altimetry by LIU Huo-sheng, WANG Hai-hong, YU Qian-hui, LU Liang, QIN Peng-cheng, LIU Yi-bing

“…[Results] (1) Statistical analysis of pulse peakiness and waveform width from the lake surface altimetry echoes revealed that approximately 50% of East Lake’s waveforms exhibited specular reflections with distinct sharp peaks, while about 30% displayed complex shapes containing two or more peaks. (2) The results of accuracy validation using the on-site measured data of water levels showed that the 50% threshold retracking method achieved optimal performance, with a root mean square error (RMSE) of 0.108 m and a correlation coefficient of 0.87. (3) Based on the 50% threshold retracking method, and using Jason-3 data, the water level time series of East Lake from September 2017 to February 2022 was established. …”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Finally, the enhanced coati optimization algorithm (ECOA) method is implemented for the hyperparameter tuning of the KELM method, which results in a higher classification process. …”
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Optimasi Pretreatment melalui Metode Hydrothermal Pressure dan Pelarut Alkali pada Produksi Bioetanol dari Lemna minor by Abdur Rahman Arif, Andi Evi Erviani, Hasnah Natsir, Ilham Haidir, Maudy Audina Affandy

“…Kombinasi proses pretreatment memberikan hasil yang cukup baik terhadap proses degradasi lignin yang terkandung dalam sampel Lemna minor sehingga sangat efektif digunakan dalam proses pembuatan bioetanol dengan bahan dasar biomassa.   Optimization Pretreatment through Hidrothermal Preassure and Alkaline Solvent Methods in Bioethanol Production from Lemna minor. …”
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Spicy Food Ingredient from Red Habanero By-Product Obtained by Ultrasound-Assisted Extraction by António Toscano, Andreia F. R. Silva, Maria P. Ramos, Norton Komora, Filipa V. M. Silva, Patrícia Fradinho

“…These results demonstrated UAE as a sustainable method for producing high value spicy additives from chili pepper by-product, turning them into products with enhanced bioactivity, favoring a circular economy in the agri-food industry.…”
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Production and characterization of nervous necrosis virus vaccine antigens in wild type and CRISPR/Cas9 genome edited Nicotiana benthamiana and edible crop lettuce Lactuca sativa by Iva Andrasevic, Hang Su, Espen Rimstad, Jihong Liu Clarke

“…Plant platforms have several advantages and have been proposed as an alternative biomanufacturing method for vaccine antigens. In the present study, we report: (1) selection and design of recombinant plasmids encoding the capsid proteins (CPs) of two genotypes of NNV, red-spotted grouper nervous necrosis virus (RGNNV) and striped jack nervous necrosis virus (SJNNV); (2) design and optimization of plasmids for transient expression of NNV vaccine antigens in wild type Nicotiana benthamiana, CRISPR/Cas9 genome edited Nicotiana benthamiana and Lactuca sativa; (3) test of different Agrobacterium strains (LBA4404 and AGL1) for effective production of NNVCPs; (4) the expression patterns of NNVCPs over time post infiltration for different plants and cultivars; (5) successful production of NNV antigens in N. benthamiana lines and lettuce cultivars, indicating the potential of the plants as antigen producers in the development of a plant-based vaccine against VNN.…”
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Systemic approach in the development of functional foods for various noncommunicable diseases by I. M. Chernukha, M. A. Nikitina, M. A. Aslanova, A. T. Qusay

“…As a result, we receive a modified Muhammara recipe with optimized protein: fat ratio. Mathematical simulation was carried out using the R Studio software with open-source lpSolve and lpSolveAPI libraries.…”
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Enabling High-Level Worker-Centric Semantic Understanding of Onsite Images Using Visual Language Models with Attention Mechanism and Beam Search Strategy by Hui Deng, Kejie Fu, Binglin Yu, Huimin Li, Rui Duan, Yichuan Deng, Jia-rui Lin

“…Moreover, the absence of large-scale, high-quality open-source datasets remains a major obstacle, hindering further research progress and algorithmic optimization in this field. …”
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Model Retrieval Based on Simulated Annealing Algorithm by GAO Xueyao, TAN Tao, ZHANG Chunxiang

“…Based on this optimal matching sequence of faces, the similarity between source model and target one is calculated. …”
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Verification of the Dose Reduction Effect via Diluted Injection in Dual-Energy Computed Tomography Using a Human Blood Flow Phantom by Hironobu Tomita, Koichi Shibata

“…We sought to examine the possibility of reducing the contrast medium dosage in dual-energy imaging using a saline-mixed injection with a virtual monochromatic energy method of dual-source computed tomography (CT). Methods. …”
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Multi-Channel Optical Coherence Elastography Using Relative and Absolute Shear-Wave Time of Flight. by Eli Elyas, Alex Grimwood, Janine T Erler, Simon P Robinson, Thomas R Cox, Daniel Woods, Peter Clowes, Ramona De Luca, Franco Marinozzi, Jérémie Fromageau, Jeffrey C Bamber

“…A needle, embedded in the gel, was excited to vibrate along its long axis and the displacement as a function of time and distance from the needle associated with the resulting shear waves was detected using four M-mode images acquired simultaneously using a commercial four-channel swept-source OCT system. Shear-wave time of arrival (TOA) was detected by tracking the axial OCT-speckle motion using cross-correlation methods. …”
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