Evaluation of the practical application of the category-imbalanced myeloid cell classification model. by Zhigang Hu, Aoru Ge, Xinzheng Wang, Cuisi Ou, Shen Wang, Junwen Wang

“…To address this issue, this study analyzed five different Loss functions and seven different attention mechanisms. When the classification models is chosen, Swin Transformer V2 was found to perform the best. …”
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LoRa Resource Allocation Algorithm for Higher Data Rates by Hossein Keshmiri, Gazi M. E. Rahman, Khan A. Wahid

“…Experimental results show that our proposed algorithm reduces <i>T_tx</i> by 42.36% and 19.98% for SF combinations of seven and eight, and eight and nine, respectively. …”
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Meta-synthesis of drivers of the circular business model by Atieh Khodaei, Mahdi Hosseinpour, Mohammad javad Jamshidi, Yoosof Mohamadifar

“…Circular business models are networked in nature and therefore require different actors in the value network to work together towards common goals. …”
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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…This study conducts a comparative performance analysis of the machine learning models for compressive strength prediction of FAGP using comprehensive dataset of 563 samples from 55 literature studies. Seven models such as multiple linear regression (MLR), artificial neural networks (ANNs), support vector machines (SVMs), K-nearest neighbor (KNNs), decision trees (DT), and ensemble methods combining DT with boosting and bootstrapping were employed. …”
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Application of three-dimensional printing in the planning and execution of aortic aneurysm repair by Harshank Patel, Paul Choi, Jennifer C. Ku, Rosemary Vergara, Rafael Malgor, Dhiren Patel, Yong Li

“…This review examines the application of 3D printing and AI in complex aortic aneurysm repair, highlighting current clinical trends.MethodsAn exhaustive literature review was performed using keywords such as “3D printing,” “Artificial intelligence,” “Thoracoabdominal aneurysm,” “Abdominal aortic aneurysm,” “Aortic arch aneurysm,” “Endovascular repair,” and “Open repair” in PubMed and Google Scholar indexes up to June 2022.ResultsThis analysis included seven studies: four focused on 3D-printed phantoms for endovascular repair of various aortic pathologies (aortic arch, thoracoabdominal aorta, juxtarenal and pararenal aorta), one on open thoracoabdominal aneurysm repair using 3D-printed models for graft construction, and two on the use of convolutional neural networks, an AI-based technology, for the pre-processing of aortic computed tomography angiography images.ConclusionThe application of 3D printing and AI-based image pre-processing in the planning of complex aortic aneurysms offers several benefits, including enhanced patient and trainee education, more accurate fenestration placement, reduced surgical time and complications, and decreased surgeon stress.…”
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Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments by Muhayy Ud Din, Ahsan Baidar Bakht, Waseem Akram, Yihao Dong, Lakmal Seneviratne, Irfan Hussain

“…We benchmarked the performance of seven distinct trackers, developed using advanced deep learning techniques such as Siamese Networks and Transformers, by evaluating them on both simulated and real-world maritime datasets. …”
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Comprehensive analysis of the succinylome in Vero cells infected with peste des petits ruminants virus Nigeria 75/1 vaccine strain by Xuelian Meng, Xueliang Zhu, Xiangwei Wang, Rui Zhang, Zhidong Zhang, Yuefeng Sun

“…Protein-protein interaction networks of the identified proteins provided further evidence that various ATP synthase subunits and carbon metabolism were modulated by succinylation, while the overlapped proteins between succinylation and acetylation are involved in glyoxylate and dicarboxylate metabolism. …”
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Entrepreneurship in Medical Education: Evaluation of the Entrepreneurship in Healthcare Seminar Series by Amanda Mac, Hayley McKee, Michael Balas, Aazad Abbas, Aida Ahrari, Pawandeep Sandhu, Dante Morra, Sarah McClennan, Alison Freeland

“…Methods: EHSS consisted of seven sessions per academic year, each led by a physician-entrepreneur. …”
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An Automatic Approach for the Identification of Offensive Language in Perso-Arabic Urdu Language: Dataset Creation and Evaluation by Salah Ud Din, Shah Khusro, Farman Ali Khan, Munir Ahmad, Oualid Ali, Taher M. Ghazal

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The relationship between the genetic status of the Vrn-1 locus and the size of the root system in bread wheat (Triticum aestivum L.) by O. G. Smirnova, T. A. Pshenichnikova

“…The aim of this work was to determine whether the allelic composition of the genes at the Vrn-1 locus affects the root size in seven spring cultivars and in two lines of bread wheat differing in flowering time under conditions of normal watering and drought. …”
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Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses by Ying Xiong, Linpeng Yao, Jinglai Lin, Jiaxi Yao, Qi Bai, Yuan Huang, Xue Zhang, Risheng Huang, Run Wang, Kang Wang, Yu Qi, Pingyi Zhu, Haoran Wang, Li Liu, Jianjun Zhou, Jianming Guo, Feng Chen, Chenchen Dai, Shuo Wang

“…Two multi-phase convolutional neural networks are developed to predict the malignancy and aggressiveness of renal masses. …”
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Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis by Fang-Chen Gong, Ran Ji, Yu-Ming Wang, Zhi-Tao Yang, Ying Chen, En-Qiang Mao, Er-Zhen Chen

“…Protein-protein interaction networks were derived using the STRING database and visualized using Cytoscape software. …”
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Validation of a Questionnaire Assessing Pregnant Women’s Perspectives on Addressing the Psychological Challenges of Childbirth by Mihaela Corina Radu, Mihai Sebastian Armean, Razvan Daniel Chivu, Justin Aurelian, Melania Elena Pop-Tudose, Loredana Sabina Cornelia Manolescu

“…The questionnaire was distributed online via Google Forms, using social networks like Facebook and Instagram to ensure rapid and broad accessibility. …”
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Weaving oral health provider perspectives to guide future dental therapy advocacy and implementation efforts by Amanda J. Llaneza, Amanda J. Llaneza, Kara A. Stone, Julie Seward

“…Education, advocacy, and networking were identified as the main objectives for attending the conference.DiscussionThe conference platform encouraged dissenting viewpoints to contribute to academic and policy debates to ultimately provide broader access to oral healthcare through a comprehensive team approach. …”
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Descripción de la estructura familiar de una muestra de pacientes con hemofilia. Comparación Argentina-México / Description of a Sample of Hemophilia Patients’ Family Structures: A... by Maricela Osorio-Guzmán, Silvina Graña

“…Abstract: Chronic diseases such as hemophilia go beyond the containment of institutional health care systems and involve not only a patient’s personal daily life but also their social networks. This situation deteriorates when the affected patient is a child. …”
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Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways by Xiaobao Dong, Huanhuan Liu, Ting Tong, Liuxing Wu, Jianhua Wang, Tianyi You, Yongjian Wei, Xianfu Yi, Hongxi Yang, Jie Hu, Haitao Wang, Xiaoyan Wang, Mulin Jun Li

“…Utilizing protein–protein interaction networks, CHANCE harmonizes multilevel mutation annotations and integrates pharmacological information across different drugs into a single model. …”
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RSK1 is an exploitable dependency in myeloproliferative neoplasms and secondary acute myeloid leukemia by Tim Kong, Angelo B. A. Laranjeira, Christopher T. Letson, LaYow Yu, Shuyang Lin, Jared S. Fowles, Daniel A. C. Fisher, Sherwin Ng, Wei Yang, Fan He, Minyoung Youn, Kailen Mark, Ana San Jose, Jingxian Liu, Alexander B. Kim, Maggie J. Cox, Mary C. Fulbright, Aarthi Jayanthan, Gerrit Los, Stacey L. Rentschler, Li Ding, Kathleen M. Sakamoto, Sandra E. Dunn, Grant A. Challen, Stephen T. Oh

“…Supported by mass cytometry (CyTOF) profiling, we reveal aberrant networks of PI3K/AKT/mTOR signalling and NFκB-mediated hyper-inflammation. …”
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Abundant geographical divergence of Clostridioides difficile infection in China: a prospective multicenter cross-sectional study by Lulu Bai, Telong Xu, Wenzhu Zhang, Yajun Jiang, Wenpeng Gu, Wei Zhao, Yang Luan, Yanfeng Xiong, Nianli Zou, Yalin Zhang, Ming Luo, Jinxing Lu, Bike Zhang, Yuan Wu

“…In this study, 1528 patients with diarrhea were recruited from seven geographically representative regions of China between July 2021 and July 2022. …”
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Un service de table en bronze et argent soigneusement rangé dans une cave à Reims/Durocortorum by Michaël Brunet, Fabienne Médard, Magalie Cavé, Stéphane Sindonino

“…The metal wares set includes seven vessels, as well as three cochlearia and a ligula. …”
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Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

“…This information can identify areas with high fishing density, warranting protection of their main fishing grounds against other users (i.e. ocean grabbing), while also signalling potential stock depletion requiring management interventions and preserving the ecosystems from which these fisheries depend on.In this study, we propose a series of steps to enhance the performance of Machine Learning algorithms in estimating fishing effort. We assessed seven supervised ML algorithms, including Logistic Regression, Ridge Classifier, Random Forest Classifier, K-Neighbours, Gradient Boosting Classifier, LinearSVC, Recurrent Neural Networks and XGBoost, using four case studies, from bivalve dredge and octopus pots and traps fisheries.First, in a preliminary statistical analysis between common error measures derived from the confusion matrix was decided to use accuracy, precision, and sensitivity as evaluation criteria. …”
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