An algorithm for automatic fitting and formula assignment in atmospheric mass spectra by V. Mickwitz, O. Peräkylä, F. Graeffe, D. Worsnop, D. Worsnop, M. Ehn

“…We hope this can save valuable time of researchers for data interpretation rather than data processing and curation.…”
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Application-Wise Review of Machine Learning-Based Predictive Maintenance: Trends, Challenges, and Future Directions by Christos Tsallis, Panagiotis Papageorgas, Dimitrios Piromalis, Radu Adrian Munteanu

“…Frequently used open datasets include the commercial modular aero-propulsion system simulation (CMAPSS), the malfunctioning industrial machine investigation and inspection (MIMII), and the semiconductor manufacturing process (SECOM) datasets, though data heterogeneity and imbalance remain major barriers. …”
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Immature Dentate Gyrus: An Endophenotype of Neuropsychiatric Disorders by Hideo Hagihara, Keizo Takao, Noah M. Walton, Mitsuyuki Matsumoto, Tsuyoshi Miyakawa

“…This review summarizes recent data describing this phenotype and discusses the data’s potential implication in elucidating the pathophysiology of neuropsychiatric disorders.…”
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Enhancing competitiveness in India’s electric vehicle industry: impact of advanced manufacturing technologies and workforce development by Silambarasan Rajendran, Chander Prakash, Mustafa Shakir, Mamdooh Alwetaishi, Ratchagaraja Dhairiyasamy, Parvathy Rajendran, It Ee Lee

“…Quantitative data on production efficiency, quality control, and workforce skills were analyzed using ANOVA and regression, while qualitative insights provided contextual understanding. …”
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Work from home can be distracting: Exploring the moderation role of transformational leadership on teleworking and cyber-slacking by Mahadih Kyambade, Afulah Namatovu, Abdul Male Ssentumbwe, Monica Tushabe

“…Data were analyzed using Process Macro version 3.2 to ascertain the moderation role of transformational leadership on the association between teleworking and cyber-slacking. …”
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Post-apartheid complexities of Xitsonga and mathematics teaching in rural foundation phase classrooms: A case of number patterns by Hlamulo Wiseman Mbhiza, Ayanda Zondo, Sibongile Mlangeni, Vuyelwa Brenda Mpitso

“…Within an interpretive paradigm, the data collection process for this qualitative study involved three main components: unstructured non-participatory classroom observations, semi-structured interviews, and video-stimulated recall interviews. …”
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Leadership Development through the 'My Decisions' Program: A Cross-Sectional Study in the Kurdistan Region by Vanya Ibrahim Jwamer, Zana Ahmad Qasab, Jaafar Omer Ahmed

“…Leadership is a changing process of affecting and directing individuals or group of people to reach common goals. …”
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Investigating the relationship between reading skills of students with autism spectrum disorder and solving mathematical word problems by Maryam Shahmohammadi, Elahe Aminifar, Maryam Mavisat

“…Conclusions: Furthermore, enhancing each of these competencies is likely to concurrently bolster the verbal problem-solving capabilities of students with autism spectrum disorder.…”
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Surrogate-assisted optimization of roll-to-roll slot die coating by Christopher Passmore, Kai E. Wu, Jonathan R. Howse, George Panoutsos, Stephen J. Ebbens

“…Abstract Roll-to-roll slot die coating is a key wet processing technique, where achieving a specific thickness with minimal variability is crucial. …”
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Exploring Neural Signaling Patterns and Their Physiological Origins in Fibromyalgia by Means of Functional MRI Guided by a Review of the Literature by Mara Will, Patrick W. Stroman

“…The second component of this study involved a voxel-by-voxel analysis of BOLD responses in all regions of the brain. The fMRI data were obtained from a previous study of participants with and without fibromyalgia during fMRI runs involving either a noxious heat pain stimulus or no stimulus. …”
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Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…This study found that using a more extended training sequence for channel estimation can result in a 27% improvement in spectral performance, based on a 95% likely percentage. …”
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Caractéristiques rythmiques du chant de l'indri et nouvelles perspectives pour une évaluation comparative du rythme chez les primates non humains by Marco Gamba, Valeria Torti, Chiara De Gregorio, Teresa Raimondi, Longondraza Miaretsoa, Filippo Carugati, Walter Cristiano, Rose M. Randrianarison, Giovanna Bonadonna, Anna Zanoli, Olivier Friard, Daria Valente, Andrea Ravignani, Cristina Giacoma

“…In this regard, thanks to the simplicity of data processing and interpretation, our study relied on an accessible analytical approach that could open up new branches of the investigation into primate communication, leading the way to reconstruct a phylogeny of rhythm abilities across the entire order.…”
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Machine learning-based prediction of distant metastasis risk in invasive ductal carcinoma of the breast. by Jingru Dong, Ruijiao Lei, Feiyang Ma, Lu Yu, Lanlan Wang, Shangzhi Xu, Yunhua Hu, Jialin Sun, Wenwen Zhang, Haixia Wang, Li Zhang

“…We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …”
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Experimental Visualization and Modeling of the Transport Behaviors of Monofilament Microplastic Fibers Through an Idealized Porous Media by Tyler T. Fouty, Nicholas B. Engdahl

“…Monofilament line with 0.3 mm diameter was passed through a bench‐scale, pseudo‐2d flow cell to capture trajectories of MPFs of three different lengths and trajectories of passive micro‐bead tracers were also captured. Video processing and automated image analysis converted the video of the experiments into a database of trajectories, allowing comparison of the experimental data to various numerical models. …”
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Integrative in Silico modeling for mTOR inhibition: From ridge classifiers to descriptor-free deep neural networks by Seyed Alireza Khanghahi, Hadi Kamkar, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Parviz Abdolmaleki

“…The GRU-QSAR and LSTM-QSAR models, which utilized tokenized SMILES, achieved accuracies of 0.9002 and 0.9021, F1-scores of 0.8595 and 0.8603, and AUCs of 0.9270 and 0.9529, respectively, leveraging their ability to process sequential data.…”
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Structural, Optical, and Dielectric Properties of A[(Mg0.32Co0.02) Nb0.66]O3 Semiconductor, Where (a = Ba, Sr or Ca) by R. Kumar, M.S. Desai, C.J. Panchal, P.K. Mehta, B. Bishnoi

“…The activation energy of the non-Debye type process evaluated both from the electric modulus and the conductivity data are nearly identical suggesting similarity in the hopping mechanism. …”
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3Mont: A multi-omics integrative tool for breast cancer subtype stratification. by Miray Unlu Yazici, J S Marron, Burcu Bakir-Gungor, Fei Zou, Malik Yousef

“…Notably, among different BRCA molecular sub-types, Hormone Receptor negative (HR-) BRCA cases, especially Basal-like BRCA sub-types, lack estrogen and progesterone hormone receptors and they exhibit a higher tumor growth rate compared to HR+ cases. …”
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IoT-based bed and ventilator management system during the COVID-19 pandemic by Vivek Kumar Prasad, Debabrata Dansana, S. Gopal Krishna Patro, Ayodeji Olalekan Salau, Divyang Yadav, Brojo Kishore Mishra

“…Since IoT devices are used in various medical fields like real-time tracking, patient data management, and healthcare management. …”
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Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

“…Abstract In order to provide the facilities to design the supercritical fluid (SCF) processes for micro or nanosizing of solid solute compounds such as drugs, it is essential to obtain their solubility in green solvents like pressurized CO2. …”
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Weather extremes and their impact on crop transportation networks: Evidence from U.S. Midwestern elevators. by Theodoros Skevas, Wyatt Thompson, Benjamin Brown, Delmy Salin, Jesse Gastelle, Edgar Marcillo-Yepez

“…Using a three-step process, it calculates least cost transportation routes to a port, adjusts for weather disruptions, and integrates disaster, transportation cost, and control variables into a fixed effects, panel data model that explains variation in basis spread. …”
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