A Multitask CNN for Near-Infrared Probe: Enhanced Real-Time Breast Cancer Imaging by Maryam Momtahen, Farid Golnaraghi

“…This multitasking approach leverages the robust feature extraction capabilities of CNNs to perform complex tasks simultaneously, thereby improving the model’s efficiency and accuracy. …”
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Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma by Elizabeth G. Fernandez, Wilson X. Mai, Kai Song, Nicholas A. Bayley, Jiyoon Kim, Henan Zhu, Marissa Pioso, Pauline Young, Cassidy L. Andrasz, Dimitri Cadet, Linda M. Liau, Gang Li, William H. Yong, Fausto J. Rodriguez, Scott J. Dixon, Andrew J. Souers, Jingyi Jessica Li, Thomas G. Graeber, Timothy F. Cloughesy, David A. Nathanson

“…We perform combined molecular and functional characterization, via BH3 profiling of the intrinsic apoptotic machinery, in glioma patient samples and derivative models. …”
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Numerical simulation and design recommendations for prestressed steel stayed columns subjected to static and dynamic effects by Aya AboElnaga, Mohamed Mortagi, Mohamed E. El Madawy, M. Naguib, A. H. A. Abdelrahman

“…Unlike prior work that primarily focused on static response or simplified configurations, this research offers a comprehensive investigation encompassing modal analysis and time-history response under seismic excitation, providing valuable insights into the dynamic performance of PSC systems. Advanced finite element (FE) models are developed in ABAQUS using fully automated scripting that defines node coordinates and element connectivity for main columns, cross-arms, and cable stays. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…Different machine learning and deep learning-based architectures and optimized models yielded superior performance, with Dice scores up to 0.91 and validation accuracy of 98%. …”
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Applying Wearable Sensors and Machine Learning to the Diagnostic Challenge of Distinguishing Parkinson’s Disease from Other Forms of Parkinsonism by Rana M. Khalil, Lisa M. Shulman, Ann L. Gruber-Baldini, Stephen G. Reich, Joseph M. Savitt, Jeffrey M. Hausdorff, Rainer von Coelln, Michael P. Cummings

“…We also suggested potential steps to address the dataset challenges which limited the models’ performance. <b>Results:</b> Feature importance analysis revealed the Timed Up and Go (TUG) task as the most informative for classification. …”
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Contribution analysis of neutral current for the substations invaded by stray current from multiple metro lines by Ye Cao, Song Xiao, Jingdong Yan, Chenyang Liu, Tiangeng Li, Xiao Liu, Guangning Wu, Yujun Guo, Jiefu Hou, Yongdong He, Xueqin Zhang, Nibishaka Erneste, Jan K. Sykulski

“…However, along with long-term service, the insulation performance between steel track and concrete sleeper deteriorates gradually, possibly causing traction current leaking from rail to ground, forming as ‘stray current’. …”
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Elevating E-Service Standards in Bangladesh: Merging FAHP and TOPSIS for Strategic Online Business Solutions by Farzana Tasnim, Tanjim Mahmud, Shefayatuj Johara Chowdhury, Tasnia Fahrin Choity, Aisha Ahmed, Mohammad Saeed Hasan Chowdhury, Mohammad Shahadat Hossain, Karl Andersson

“…To ensure a data-driven analysis, the Random Forest algorithm is utilized for feature importance extraction, followed by pairwise comparisons through fuzzy triangular matrices. …”
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Social Advertising in Aspect of Addressee-Addresser Relations by F. E. Abdullayeva, V. A. Kameneva

“…In the article, by the material of Chinese social advertising texts, the addressees with direct verbal, visual and verbal-visual reference are modeled. The socio-anthropocentric parameters of the addressee of Chinese social advertising texts are established. …”
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Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging by Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani

“…To attain this, the MAIR-IBWODL method utilizes the SE-DenseNet method for learning complex feature patterns from RS images. Furthermore, the MAIR-IBWODL method employs the IBWO method for the hyperparameter range of the SE-DenseNet model. …”
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A qualitative and quantitative approach to the drivers of economic growth in the EU by Sinoi Elena-Alexandra

“…First, we use a qualitative approach to emphasise the connections between GDP per capita and various determinants of economic growth by performing a social network analysis (SNA). The results reveal that the three most important features of each network are a high GDP per capita, governance quality, and human capital endowment (low scenario, respectively). …”
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Role of strike-slips and graben-rifts in controlling oil and gas reservoirs in deep horizons of the Russko-Chaselsky Ridge (West Siberian Province) by D. D. Sekerina, M. M. Saitgaleev, N. P. Senchina, V. V. Glazunov, D. F. Kalinin, M. P. Kozlov, E. I. Ismagilova

“…Based on these materials, cross-sections and maps were drawn showing the structural features of the sedimentary cover and consolidated basement, and an analysis of the nature of the Earth crust disturbance within the shearing zone was performed. …”
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Comparison of RNN and LSTM Classifiers for Sentiment Analysis of Airline Tweets by Rogaia Yousif Ahmed, Noon Fahmi Yuosif, Sarmed Awad Ahmed, Al-Baraa Ali Mohammed

“…The objective was to utilize these deep learning models to identify sentiment trends within text data and compare their performance in terms of computation time. …”
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Identification of key proteins and pathways in myocardial infarction using machine learning approaches by Chang Liu, Xing Zhang, Qian Xie, Binbin Fang, Fen Liu, Junyi Luo, Gulandanmu Aihemaiti, Wei Ji, Yining Yang, Xiaomei Li

“…Clustering and co-expression analysis were performed using K-Medoids and weighted gene co-expression network analysis (WGCNA). …”
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Associations of weekly working hours with neck and lower back work-related musculoskeletal disorders among bus drivers in Shenzhen by Yuxi WANG, Dafeng LIN, Shengli CHEN, Huan GUO, Naixing ZHANG, Shaofan WENG

“…Demographic characteristics, lifestyles, and work-related features of the bus drivers were collected through a questionnaire survey. …”
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Machine Learning-Driven Transcriptome Analysis of Keratoconus for Predictive Biomarker Identification by Shao-Hsuan Chang, Lung-Kun Yeh, Kuo-Hsuan Hung, Yen-Jung Chiu, Chia-Hsun Hsieh, Chung-Pei Ma

“…Machine learning algorithms were then used to analyze the gene sets, with SHapley Additive exPlanations (SHAP) applied to assess the contribution of key feature genes in the model’s predictions. Selected feature genes were further analyzed through Gene Ontology (GO) enrichment to explore their roles in biological processes and cellular functions. …”
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Description of the combined evidence-based, theory-based and person-based approaches used to develop a behavioural intervention package to support non-allergist healthcare workers... by Sarah Tonkin-Crine, Neil Powell, Jonathan Sandoe, Bridie Kent, Mathew Upton

“…Key intervention design objectives and the key features of the implementation intervention required to achieve each objective were then developed and captured as guiding principles. …”
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Plant selection for semi-arid urban landscapes with an emphasis on climate change (case study: Tehran) by Malek Rabiei Sadeghabadi, Omid Nouri, Reza Deihimfard

“…Scoring the plant species was performed from 0 to 3 with the values of 0.5, 1.5, and 2.5 being used for the intermediate state. …”
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Research Status and Direction of Chronic Obstructive Pulmonary Disease Complicated with Coronary Heart Disease: A Bibliometric Analysis from 2005 to 2024 by Bian H, Zhu S, Xing W, Qi L, Xue J, Peng X, Jin Z, Zhao H

“…To improve the early detection rate of COPD complicated with CHD, the main development direction in the future is to extract computed tomography (CT) features using imaging omics and establish an early prediction model. …”
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Estimation of Subtropical Forest Aboveground Biomass Using Active and Passive Sentinel Data with Canopy Height by Yi Wu, Yu Chen, Chunhong Tian, Ting Yun, Mingyang Li

“…The results indicate the following: (1) The incorporation of multi-source remote sensing data significantly improves the accuracy of AGB estimation, among which the RF model performs the best (R² = 0.69, RMSE = 24.26 t·ha⁻¹) compared with the single-source model. (2) The canopy height model (CHM) obtained from InSAR-LiDAR effectively alleviates the signal saturation effect of optical and SAR data in high-biomass areas (>200 t·ha⁻¹). …”
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DeepBiteNet: A Lightweight Ensemble Framework for Multiclass Bug Bite Classification Using Image-Based Deep Learning by Doston Khasanov, Halimjon Khujamatov, Muksimova Shakhnoza, Mirjamol Abdullaev, Temur Toshtemirov, Shahzoda Anarova, Cheolwon Lee, Heung-Seok Jeon

“…Our technique balances heterogeneous feature representation with suppression of individual model biases. …”
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