The powerless bosses: the working day experience of bicycle messengers and its impact on their identities and wellbeing by Iben Østin Hjelle, Helle Nordrum, Julian-Werner Wentzeck, Ali Teymoori

“…Results We discerned five themes related to the dynamics of autonomy versus algorithmic control, the reduction of workers’ identity to the courier role, lack of collegial bonding among bicycle messengers, physical demands and risks of the job, and the transitory nature of courier work. …”
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An Application of Site Selection for Solid Waste Management System Using Neutrosophic Set by A.Savitha Mary, D. Sarukasan, C. Kayelvizhi, L. Jethruth Emelda Mary, F. Josephine Daisy, K. Pitchaimani

“…To improve the efficiency and accuracy of waste management site selection, novel computational algorithms have been developed using a proposed distance formula. …”
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Fairness in focus: quantitative insights into bias within machine learning risk evaluations and established credit models by Jacob Ford

“…Abstract As the adoption of machine learning algorithms expands across industries, the focus on how these tools can perpetuate existing biases have gained attention. …”
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Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. by Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E Urai, C Daniel Salzman, International Brain Laboratory, John P Cunningham, Liam Paninski

“…Here we introduce a new video analysis tool that combines the output of supervised pose estimation algorithms (e.g. DeepLabCut) with unsupervised dimensionality reduction methods to produce interpretable, low-dimensional representations of behavioral videos that extract more information than pose estimates alone. …”
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Accuracy measurement of automatic remeshing tools by Mattia Sullini

“…While in the applications for which remeshing algorithms have historically been developed, the problem can be addressed without affecting the mesh polycount, for the authoring of 3D assets intended for Real-Time Rendering applications, maintaining a low polycount is mandatory. …”
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Designing a Thermoacoustic Cooler for Energy Applications: Experimental Insights by Leszek Remiorz, Krzysztof Grzywnowicz, Eryk Remiorz, Wojciech Uchman

“…Accurate and informative measurements during operation are crucial for developing effective control algorithms and optimizing performance under specific conditions. …”
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Optimal design of solar cells grid electrodes based on quadratic curves by Yongjiang Liu, Kai Li, Bo Zhou, Xiangquan Li, Peizheng Li

“…This paper presents an optimization methodology employing width-varying quadratic curves to parameterize grid electrode profiles, coupled with a comprehensive power loss model. A genetic algorithm (GA) is implemented to minimize total power loss, systematically optimizing grid designs for solar cells with 156 × 156 mm², 182 × 182 mm², and 210 × 210 mm². …”
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An Observational Study on Flask Web Framework Questions on Stack Overflow (SO) by Luluh Albesher, Reem Alfayez

“…Afterward, we utilized the Latent Dirichlet Allocation (LDA) algorithm to identify Flask-related topics that are discussed within the set of the identified questions. …”
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Development and Implementation of a Machine Learning‐Based Flood Forecasting System in Kasese District, Uganda by Edward Miiro, Ismael Kato, Zuhra Nantege, Samuel Ssendi, Khasim Bassajjalaba

“…Two machine learning algorithms, including linear regression and K‐nearest neighbours (KNN) were used to learn from collected hydrological data and make necessary predictions. …”
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Comparing the effect of pre-anesthesia clonidine and tranexamic acid on intraoperative bleeding volume in rhinoplasty: a machine learning approach by Zahra Asghari Varzaneh, Akram Hemmatipour, Hadi Kazemi-Arpanahi

“…The findings were then compared to determine the most effective medication and the best predictive model. The results revealed that the Linear and Ridge regression algorithms outperformed all other models based on three evaluation metrics: mean absolute error (MAE), mean square error (MSE), and R-squared. …”
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Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor by Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long, Xiaojin Huang

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Progress in the Application of Chemometrics in the Field of Food Flavor by ZHANG Qian, HAN Haoying, MENG Fanyu, WANG Yadong, WANG Bei, JIANG Tao

“…Therefore, it is crucial to use new chemometrics methods, such as artificial intelligence algorithms, correctly and reasonably to obtain effective information in this field. …”
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Modified generative adversarial network and Pseudo- Zernike matrix features extraction for human-computer interactive gesture recognition by Jing Yu, Lu Zhao

“…In order to improve the current situation that the existing gesture recognition algorithms need a lot of training data, this paper proposes a modified generative adversarial network (GAN) and Pseudo-Zernike matrix features extraction method to solve the problems of low recognition accuracy and complex recognition process. …”
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Method of calculation of thermal loss energy in double and triple glass packaging by A.S. Kudussov, I.A. Kudussova, O.B. Seldyugaev, M.A. Burkov, A.S. Abdurakhimova

“… The paper presents a method of calculating the heat energy loss from the room through double and triple glazing. In this article algorithms of calculation of losses of energy through the processes of conduction, convection and radiation heat transfer. …”
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A Beam Search Framework for Quantum Circuit Mapping by Cheng Qiu, Pengcheng Zhu, Lihua Wei

“…The optimization problem of quantum circuit mapping has NP-hard computational complexity, and existing heuristic mapping algorithms still have significant potential for optimization in terms of the number of quantum gates generated. …”
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Pipkin type III fractures: a narrative review of literature and comparative opinion on ORIF vs. arthroplasty by Sujan Shakya, Qing Zhang, Yi Wen, Xinag Wen, Long Cheng

“…The treatment modality with open reduction and internal fixation (ORIF) or total hip arthroplasty (THA) varies according to the severity of the fracture, patient age, time to surgery, and intraoperative findings. …”
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FROM SEEING TO BELIEVING: A 43-YEAR LONG JOURNEY IN IMMUNOSTAINING

“…The application of MILAN and the complexity of data obtained (~100 markers, millions of single cells) landed us in the rarefied world of dimensionality reduction algorithms, where math rules and statistical significance replaces “representative images”. …”
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Automated reinforcement learning for sequential ordering problem using hyperparameter optimization and metalearning by André Luiz Carvalho Ottoni

“…The results show that the application of metalearning generates a reduction in computational cost in hyperparameter optimization. …”
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A Rapid Design Method for Centrifugal Pump Impellers Based on Machine Learning by Y. Chen, W. Li, Y. Luo, L. Ji, S. Li, Y. Long

“…The proposed model uses neural networks to predict empirical coefficients, determine key dimensions such as the impeller’s inlet diameter, outlet diameter, outlet width, and axial distance. …”
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AI-Guided Delineation of Gross Tumor Volume for Body Tumors: A Systematic Review by Lea Marie Pehrson, Jens Petersen, Nathalie Sarup Panduro, Carsten Ammitzbøl Lauridsen, Jonathan Frederik Carlsen, Sune Darkner, Michael Bachmann Nielsen, Silvia Ingala

“…The algorithms with the highest DSC deployed an encoder–decoder architecture. …”
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