Adopting Best Practices from Team Science in a Healthcare Improvement Research Network: The Impact on Dissemination and Implementation by Frank Puga, Kathleen R. Stevens, Darpan I. Patel

“…Results from this study revealed an effective integration of the team science principles which facilitated the rapid collection of a large dataset. Implications of this study support a collaborative model for improvement research and stress a need for future research and funding to further evaluate the impact on dissemination and implementation.…”
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Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network. by Shota Homma, Daisuke Murakami, Shinya Hosokawa, Koji Kanefuji

“…We observed that the proposed joint models improved the fit compared to conventional models estimated from a single dataset. This finding suggests that integrating data from multiple species or data types based on a network helps to address the lack of observations. …”
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Evaluating neurofilament light chain serum levels as a diagnostic marker for Lyme neuroborreliosis by Cédric Hirzel, Annina Grütter, Denis Grandgirard, Robert Hoepner, Franziska Suter-Riniker, Stephen L. Leib

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A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function by Yangchao He, Jiong Li, Lei Shao, Chijun Zhou, Xiangwei Bu

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Interpretable Machine Learning Techniques for an Advanced Crop Recommendation Model by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…We conducted our empirical investigation using a comprehensive dataset that includes various agricultural parameters, historical crop yields, and environmental conditions to evaluate the model’s performance. …”
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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting by Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei

“…In addition, different methods are compared on the same time-granularity dataset, leaving the adaptability and robustness of these methods undervalidated. …”
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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

“…It is proposed to use deep convolutional neural network models pre-trained on the ImageNet dataset as U-Net encoders. Among such models, VGG16, VGG19, Mobilenetv2, Inception, Efficientnetb7, InceptionResnetV2, DenseNet201, DenseNet121 were used. …”
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Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review by Aan Chu, David Squirrell, Andelka M. Phillips, Ehsan Vaghefi

“…A manual search through the reference lists of relevant review articles found from the database search was conducted, yielding no additional records. A validation dataset of the trained deep learning algorithms was used for creating a set of optimal properties for an ideal diabetic retinopathy classification algorithm. …”
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QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE by Ibrahim Tijjani Ibrahim, Adamu Uzairu, Balarabe Sagagi

“… In order to develop quantitative structure-activity relationship (QSAR), for predicting antiulcer activity of hydroxamic acid analogues use as dataset and their antiulcer activity were obtained from the literature. …”
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Random Whole Body Vibration over 5 Weeks Leads to Effects Similar to Placebo: A Controlled Study in Parkinson’s Disease by Heiko Gaßner, Annette Janzen, Ansgar Schwirtz, Petra Jansen

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Predictive modeling of ALS progression: an XGBoost approach using clinical features by Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman

“…Abstract This research presents a predictive model aimed at estimating the progression of Amyotrophic Lateral Sclerosis (ALS) based on clinical features collected from a dataset of 50 patients. Important features included evaluations of speech, mobility, and respiratory function. …”
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Associations between Extracellular Matrix Protein 1 Gene Polymorphism and Progression of Liver Disease by Xiuting He, Ting Liu, Rui Zhang, Xu Li

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Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model by Soran Badawi

“…The approach involves generating synthetic training data by translating Kurdish headlines into a target language in this context English language and back-translating them to the Kurdish language, resulting in an augmented dataset. The proposed BiLSTM model is trained on the augmented data and compared with baseline models SVM (Support-Vector-Machines) and Naïve Bayes an trained on the original data. …”
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Analysis of Changes in Intercity Highway Traffic Travel Patterns under the Impact of COVID-19 by Mingchen Gu, Shuo Sun, Feng Jian, Xiaohan Liu

“…Empirical studies are conducted using cellular network-based datasets associated with two groups of city pairs in China heavily affected by COVID-19. …”
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Effects of adaptive harvesting on fishing down processes and resilience changes in predator-prey and tritrophic systems by Tromeur, Eric, Loeuille, Nicolas

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Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function by Mohammad Reza Alikhani, Ramtin Moeini

“…For this purpose, in this research, artificial intelligence and data mining methods, including genetic programming (GP), gene expression programming (GEP), artificial neural network (ANN), and discrete wavelet transform function, are used to predict the daily drinking water consumption values of WDN. For this purpose, a dataset of temperature, precipitation, humidity, and daily water value of Najaf-Abad city in Iran is used during year 2014 to 2019. …”
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Multilevel Attention and Multiscale Feature Fusion Network for Author Classification of Chinese Ink-Wash Paintings by Wei Jiang, Xianglian Meng, Ji Xi

“…To verify the effectiveness of the model, extensive experimental results on the Chinese ink-wash painting dataset created in this work show that the classification performance of the model is better than other mainstream research methods.…”
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Pavement Manager at Risk in Construction of Hot Mix Asphalt by Hesham Ali, Mohamadtaqi Baqersad

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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

“…Fast deliveries' role in providing a competitive advantage and boosting customer loyalty highlights the importance of this study.Methodology: The research employs a dataset of 43,739 delivery records with 15 features. …”
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A New Multiple-Distribution GAN Model to Solve Complexity in End-to-End Chromosome Karyotyping by Yirui Wu, Xiao Tan, Tong Lu

“…Through experiments in self-collected datasets, the proposed method achieves high accuracy in tasks of chromosome detection, segmentation, and classification. …”
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