Classification of lung cancer severity using gene expression data based on deep learning by Ali Bou Nassif, Nour Ayman Abujabal, Aya Alchikh Omar

“…Evaluating and validating the performance of the proposed model required addressing some common challenges in gene datasets, such as class imbalance and overfitting, due to the low number of samples and the high number of features. These issues were mitigated by deeply analyzing the gene dataset and lung cancer stages from a medical perspective, along with extensive research and experiments. …”
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Multi-modal imaging of the cementitious carbonation front: Evidence for pore refinement by Sudharsan Rathnakumar, Nishant Garg

“…Thirdly, and finally, the carbonated region of hydrated cement samples seems to have undergone measurable pore refinement. …”
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Cyberattack on the NHLS Network: Highlighting the crucial role of laboratory medicine by Tahir S. Pillay

“…This incident severely disrupted the processing and release of patient samples, underscoring the critical yet often underappreciated contributions of laboratory medicine. …”
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Generative AI chatbot for teachers’ data-informed decision-making: Effects and insights by Jiwon Lee and Jeongmin Lee

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Electrode Materials for Capacitive Deionization Technology: Performance Analysis and Application Prospects of Hollow Structure Electrodes and MXene by Wang Xihan

“…Traditional electrode materials have issues like poor ion selectivity, desalination capacity, and stability that need to be improved. …”
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Accounting procedures of expenditure records of startup companies by О.S. Hrytsak

“…The main issues of accounting of innovation activities are the lack of a unified system of documentation and accounts for the accounting reflection of startup company’s expenditures. …”
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Accelerating fragment-based drug discovery using grand canonical nonequilibrium candidate Monte Carlo by William G. Poole, Marley L. Samways, Davide Branduardi, Richard D. Taylor, Marcel L. Verdonk, Jonathan W. Essex

“…In this context, molecular dynamics-based simulations are increasingly popular, but often limited by sampling issues. Here, we develop grand canonical nonequilibrium candidate Monte Carlo (GCNCMC) to overcome these limitations. …”
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Part-Based Visual Tracking via Online Weighted P-N Learning by Heng Fan, Jinhai Xiang, Jun Xu, Honghong Liao

“…An online weighted P-N learning method is implemented via considering the weight of samples during classification, which improves the performance of classifier. …”
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Theragnostic Imaging Using Radiolabeled Antibodies and Tyrosine Kinase Inhibitors by Mitsuyoshi Yoshimoto, Hiroaki Kurihara, Hirofumi Fujii

“…In this review, we introduce new radiolabeled TKIs, antibodies, and their clinical application in molecular targeted therapy and discuss the issues of these imaging probes.…”
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Genotoxic assessment of a Cannabis sativa L. extract by Mark J. Tallon, Robert B. Child, Jason L. Blum

“…A number of regulatory agencies have highlighted these issues and requested additional genotoxicity data to help ensure the safe use of CBD.Objective To provide insights into the genotoxicity of a CBD isolate and its lipid carrier.Materials and methods We have conducted an in vitro mammalian cell micronucleus (OECD 487) and a bacterial reverse mutagenicity assay (Ames test) (OECD 471) in a CBD isolate (97% > CBD) with its carrier.Results The samples tested were non-mutagenic, as determined in the Ames test. …”
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Ultrawideband Impulse Radar Through-the-Wall Imaging with Compressive Sensing by Wenji Zhang, Moeness G. Amin, Fauzia Ahmad, Ahmad Hoorfar, Graeme E. Smith

“…Compressive Sensing (CS) provides a new perspective for addressing radar applications requiring large amount of measurements and long data acquisition time; both issues are inherent in through-the-wall radar imaging (TWRI). …”
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INSTRUCTION OF VOCABULARY AT THE HIGHER SECONDARY LEVEL IN BANGLADESH: INTEGRATION OF COMMUNICATIVE LANGUAGE TEACHING (CLT) WITH VOCABULARY TASKS by Sharmin Rahman Bipasha

“…The research included surveys from 100 students, interviews with 10 instructors, and classroom observations to gather data. The cluster random sampling approach was used to select samples for this research, focusing on a group of current (Higher Secondary Certificate) HSC-level students and instructors. …”
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Automatic Condition Monitoring of Industrial Rolling-Element Bearings Using Motor’s Vibration and Current Analysis by Zhenyu Yang

“…The temporal feature indicated a feasibility to detect generalized roughness fault. The practical issues, such as deviations of predicted characteristic frequencies, sideband effects, time-average of spectra, and selection of fault index and thresholds, are also discussed. …”
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Development and quality evaluation of a fermented dessert made from donkey milk fortified with oat flour, wheat germ oil, and pomegranate extract by Claudia Antonino, Graziana Difonzo, Giuseppe Natrella, Giacomo Squeo, Michele Faccia

“…The dairy sector is constantly innovating in response to the critical issues connected to sustainability and healthiness and to the increasing consumer demand for products with nutritional benefits. …”
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Conservación de Agentes Patógenos y Epífitos Presentes en los Cultivos de Tomate, Sandía y Banano y sus Beneficios para la Investigación by L. Espinoza

“…To fulfill the objectives of this project, the samples that present symptoms of diseasesshould be collected from field, then samples were analyzed and different microorganism were isolate and identified.Fungus belonging to Fusarium, Botrytis, Alternaria and Mycosphaerella genres were identifying. …”
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Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification by Muhammad Ahmad, Francesco Mauro, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo

“…A diversity-promoting sampling strategy ensures broad spectral coverage among selected samples, preventing overfitting to specific classes. …”
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Sonochemical Effects on Wheat Starch by Sergey A. Bredikhin, Alexander N. Martekha, Vasily V. Toroptsev, Yuliya E. Kaverina, Igor A. Korotkiy

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HFDF-EffNetV2: A Lightweight, Noise-Robust Model for Fault Diagnosis in Rolling Bearings by Donglei Zhang, Jiafang Pan, Tianping Huang, Junlin Niu, Faguo Huang

“…Additionally, the model performed well with small samples, yielding accuracies of 98.69% and 97.51%. …”
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Mechanical characteristics of CSA-treated sand reinforced with fiber under freeze-thaw cycles by Ayesha Rauf, Sung-Woo Moon, Chang-Keun Lim, Alfrendo Satyanaga, Jong Kim

“…Earth structures like roads and railways in cold regions face recurring freeze-thaw (F-T) cycles, leading to issues often overlooked by design guidelines that focus primarily on strength, neglecting long-term stability and durability. …”
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Comparison of conventional semi automated methods with advanced and semi-automated laboratory techniques: New era in clinical diagnostics by Nandini Takkalaki, Pooja M. Maidargi, Meenal Agarwal, Ravindra D. Totad

“…Material and Methods: 50 volunteers are selected, and blood samples are collected and processed on advanced auto and semi-auto analysers for biochemistry and hematology and 25 samples for microbiology parameters. …”
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