Visual Exploration of Literature Using Connected Papers: A Practical Approach by Prashanta Kumar Behera, Sanmati Jinendran Jain, Ashok Kumar

“…As explained in the paper, the researcher of other domains may adopt the process to understand the literature mapping phenomena for their own discipline.   …”
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“Working in the content factory”: musicians’ social media use and mental health as seen through the lens of a transdiagnostic cognitive behavioural conceptualisation by George Musgrave, Daniel Carney, Emma Silver, Marc S. Tibber

“…Further, social media has become central to working musicians’ lives, and there is a growing concern that social media may be linked to the increasing prevalence of mental health difficulties within the general population. …”
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Noise Robustness of Quantum Relaxation for Combinatorial Optimization by Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto

“…Reducing the number of qubits will alleviate physical noise (typically, decoherence), and as a result, the quality of the binary solution of QRAO may be robust against noise, which is, however, unknown. …”
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Clothes consumption and disposal practices: a look at the profile of Brazilian apparel consumers by Rimena Canuto Oliveira, Irenilza de Alencar Nääs, Solimar Garcia

“…The consumer's profile may help the fashion industry redirect investments in sustainability. …”
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Extracting toponyms from OpenStreetMap and other gazetteers: comparing representational accuracy in multilingual contexts by Francesco-Alessio Ursini, Giuseppe Samo

“…The paper proposes that OpenStreetMap may be as reliable as authoritative sources; however, one must apply cross-source comparison during data analysis, to confirm OpenStreetMap-based data. …”
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Music is an Architecture Revived: a Gothic Cathedral as a Model for a Perfect Musical Composition as Seen by Vincent D’Indy by Elena V. Rovenko

“… Vincent d’Indy developed his own understanding of the ideal algorithm of constructing musical forms. In support of his concept, he took a general artistic perspective. …”
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Radiation hematologic toxicity prediction in rectal cancer: a comparative radiomics-based study on CT image and dose map by Yingpeng Liu, Liping Guo, Yi Wang, Qingtao Xu, Jingfeng Zhang, Xianyun Meng

“…Background and objectivesAcute radiation hematologic toxicity may disturb the radiotherapy plan and thus decrease the treatment outcome. …”
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A novel seismic inversion method based on multiple attributes and machine learning for hydrocarbon reservoir prediction in Bohai Bay Basin, Eastern China by Zongbin Liu, Jianmin Zhu, Bo Tian, Rui Zhang, Yongheng Fu, Yuan Liu, Lixin Wang

“…Compared to traditional seismic inversion methods, our method requires less data. This approach may find a wider application, especially at offshore oilfields with few wells data and low quality seismic data.…”
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The Parabolic Variational Inequalities for Variably Saturated Water Flow in Heterogeneous Fracture Networks by Zuyang Ye, Qinghui Jiang, Chi Yao, Yanzhang Liu, Aiping Cheng, Shibing Huang, Yaning Liu

“…While the matrix permeability is small enough to be ignored during the partially saturated flow process, water seepage in heterogeneous fracture systems may occur in a non-volume-average manner as distinguished from a macroscale continuum model. …”
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Virtual measurement system for UHF-transistor amplifiers by Alexander D. Tupitsyn

“…Therefore when possible, its may be replaced by virtual measurement systems (VMS), which allow one to perform measurements based on physical parameters of testing device.Aim. …”
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A Case Study on Integrating an AI System into the Fuel Blending Process in a Chemical Refinery by Abdul Gani Abdul Jameel

“…However, most LP models normally fail to capture the complex nonlinear interaction of blend components with fuel properties, leading to off-specification products that may necessitate re-blending. This work discusses a case study of a hybrid artificial intelligence (AI)-based method for gasoline blending based on a genetic algorithm (GA) combined with an artificial neural network (ANN). …”
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Implicit Is Not Enough: Explicitly Enforcing Anatomical Priors inside Landmark Localization Models by Simon Johannes Joham, Arnela Hadzic, Martin Urschler

“…Currently, Anatomical Landmark Localization (ALL) is mainly solved by deep-learning methods, which cannot guarantee robust ALL predictions; there may always be outlier predictions that are far from their ground truth locations due to out-of-distribution inputs. …”
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Effective practices in enhancing autonomous English language learning through YouTube by Ritueli Daeli, Santosa Santosa

“…The platform’s algorithm-driven design can also distract learners, reducing their focus and productivity. …”
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Optimized Electric Vehicles Wireless Charging: Applicative Models for Supporting Decision Makers by Cristian Giovanni Colombo, Ryosuke Ota, Michela Longo

“…With the large-scale deployment of electric vehicles for decarbonization policies, the number of charging stations to be deployed will increase and may not be sufficient for the service, causing network instability. …”
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Impacts of farming and herding activities on land use and land cover changes in the north eastern corridor of Ghana: A comprehensive analysis by Nanii Yenibehit, Abubakari Abdulai, Joseph Amikuzuno, James Kofi Blay

“…A supervised machine learning technique using the algorithm of the random forest classifier was employed for the preparation of the classification of thematic maps. …”
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Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

“…Abstract Label correlations, as important prior information, are essential to enhance the classification performance in Multi-Instance Multi-Label (MIML) algorithms, but existing models always leverage global label correlations which are less informative. …”
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Changes in the incidence and prevalence of systemic lupus erythematosus between 1990 and 2020: an observational study using the Clinical Practice Research Datalink (CPRD) by Sarah Skeoch, Ian N Bruce, John D Pauling, Neil McHugh, Jessica Ellis, Anita McGrogan, Rachel Charlton

“…A case ascertainment algorithm was developed in line with best practice recommendations for observational research. …”
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Prediction of river dissolved oxygen (DO) based on multi-source data and various machine learning coupling models. by Yubo Zhao, Mo Chen

“…Too low a concentration of dissolved oxygen (DO) in a river can disrupt the ecological balance, while too high a concentration may lead to eutrophication of the water body and threaten the health of the aquatic environment. …”
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Temporal multimorbidity patterns and cluster identification: a longitudinal analysis of administrative data by Jennifer K. Ferris, Brandon Wagar, Alex Choi, Jonathan Simkin, Hind Sbihi, Kari Harder, Kate Smolina

“…We applied a community detection algorithm to identify multimorbidity disease clusters. …”
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Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms by Jian Yang, Ruilin Xiong, Xinhao Xiang, Yuhui Shi

“…Particle Swarm Optimization (PSO) is an excellent population-based optimization algorithm. Meanwhile, because of its inspiration source and the velocity update feature, it is also widely used in the collaborative searching tasks for swarm robotics. …”
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