Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions by Tehseen Mazhar, Sunawar khan, Tariq Shahzad, Muhammad Amir khan, Mamoon M. Saeed, Joseph Bamidele Awotunde, Habib Hamam

“…Generative AI systems like ChatGPT have transformed healthcare by personalizing therapy, diagnostics, and predictive analytics. …”
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Enhanced analysis of tabular data through Multi-representation DeepInsight by Alok Sharma, Yosvany López, Shangru Jia, Artem Lysenko, Keith A. Boroevich, Tatsuhiko Tsunoda

“…We demonstrate the effectiveness of MRep-DeepInsight on single-cell datasets, Alzheimer's data, and artificial data, showcasing an improved accuracy over the original DeepInsight approach and machine learning methods like random forest, XGBoost, LightGBM, FT-Transformer and L2-regularized logistic regression. …”
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Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review by Abdulmalik Fareeq Saber, Sirwan Khalid Ahmed, Safin Hussein, Karzan Qurbani

“…This paper explores the multifaceted role of psychiatric nurses in addressing the psychological aspects of oral cancer, highlighting the transformative potential of AI in enhancing diagnostics, patient monitoring, treatment planning, and psychosocial support. …”
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Insulin-Like Growth Factor and Epidermal Growth Factor Signaling in Breast Cancer Cell Growth: Focus on Endocrine Resistant Disease by Kallirroi Voudouri, Aikaterini Berdiaki, Maria Tzardi, George N. Tzanakakis, Dragana Nikitovic

“…It is well established that the endogenous synthesis of insulin-like growth factor (IGF) and epidermal growth factor (EGF) polypeptide growth factors are closely correlated to malignant transformation and all the steps of the breast cancer metastatic cascade. …”
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Japanese Short Answer Grading for Japanese Language Learners Using the Contextual Representation of BERT by Dyah Lalita Luhurkinanti, Prima Dewi Purnamasari, Takashi Tsunakawa, Anak Agung Putri Ratna

“…Bidirectional encoder representations from transformer (BERT), which has shown potential for natural language processing (NLP) tasks, is implemented to grade answers without fine-tuning due to the small amount of data. …”
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PCL/PHBV Microparticles as Innovative Carriers for Oral Controlled Release of Manidipine Dihydrochloride by Fernanda Malaquias Barboza, Willian Moreira Machado, Luiz Renato Olchanheski Junior, Josiane Padilha de Paula, Sônia Faria Zawadzki, Daniel Fernandes, Paulo Vitor Farago

“…According to Fourier-transform infrared spectroscopy, initial components were not chemically modified during microencapsulation. …”
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Small signal stability in low-renewable power systems: A 138 kV Santo Domingo case study by Ángel José Sánchez-Sánchez, Miguel Aybar-Mejía, Víctor Ernesto Peralta-Maxwell, Ángel Dagoberto Germán-Encarnación, Eduardo De León-Concepción, Deyslen Mariano-Hernández

“…Advanced mathematical techniques address these issues, such as the Fourier transform and the Prony method. In this study, a method was developed using MATLAB, and flow runs were performed in Digsilent software to analyze the oscillations of small signals in a 138 kV substation with low penetration of renewable energy. …”
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Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching by Yuchuan Du, Zihang Weng, Chenglong Liu, Difei Wu

“…A scale-invariant feature transform is introduced for feature matching based on the extracted key regions using spectral saliency mapping and bounding boxes. …”
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Multiscale X-ray scattering elucidates activation and deactivation of oxide-derived copper electrocatalysts for CO2 reduction by J. de Ruiter, V. R. M. Benning, S. Yang, B. J. den Hartigh, H. Wang, P. T. Prins, J. M. Dorresteijn, J. C. L. Janssens, G. Manna, A. V. Petukhov, B. M. Weckhuysen, F. T. Rabouw, W. van der Stam

“…Using well-defined Cu2O octahedra and cubes, in situ X-ray scattering experiments track morphological changes at small scattering angles and phase transformations at wide angles, with millisecond to second time resolution and ensemble-scale statistics. …”
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Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing by Peishan Dai, Hanwei Sheng, Jianmei Zhang, Ling Li, Jing Wu, Min Fan

“…First, the original retinal fundus image was processed by the normalized convolution algorithm with a domain transform to obtain an image with the basic information of the background. …”
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Polyurethane-modified asphalt mechanism by Pengzhen Lu, Changjun He, Jiahao Wang, Ying Wu, Jiarui Ding

“…The feasibility of using polyurethane as a modifier and its effects on matrix asphalt were analyzed using scanning electron microscopy, Fourier transform infrared spectroscopy, and atomic force microscopy. …”
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Minimal operational theories: classical theories with quantum features by Davide Rolino, Marco Erba, Alessandro Tosini, Paolo Perinotti

“…Specifically, the allowed instruments are limited to those derived from compositions of preparations, measurements, swap transformations, and conditional operations. We demonstrate that minimal theories with conditioning and a spanning set of non-separable states satisfy two quantum no-go theorems: no-information without disturbance and no-broadcasting. …”
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Numerical and Experimental Stability Investigation of a Flexible Rotor on Two Different Tilting Pad Bearing Configurations by Weimin Wang, Qihang Li, Feng He, Paul Allaire

“…The traditional multiple input multiple output (MIMO) frequency response function (FRF) is transformed into a directional frequency response function (dFRF). …”
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Microwave and Steam Processing: A Novel Approach to Modifying the Characteristics of Reconstituted Whole Wheat Flour and Dough by Xuhua Liu, Qiangqiang Sun, Rong Yan, Yaqing Wang, Junying Wang, Liping Yang, Ligong Zhai

“…Upon modification treatment, the spiral β-turn structure was transformed into an irregular curled and β-sheet structure, and the β-sheet ratio increased significantly (<i>p</i> < 0.05). …”
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Experimental studies on mix design and properties of ceramic-glass geopolymer mortars using response surface methodology by Meysam Pourabbas Bilondi, Vahideh Ghaffarian, Mahdi Amiri Daluee, Reyhaneh Pakizehrooh, Saeed Hosseini Tazik, Alireza Behzadian, Mojtaba Zaresefat

“…Microstructural and molecular changes were investigated using scanning electron microscopy and fourier transform infrared spectroscopy. According to response surface methodology results, the maximum compressive strengths of 22.79 MPa at three days and 25 MPa at 28 days were achieved using a mix containing 85.8% CWP, a 1.02 sodium hydroxide (NH): sodium silicate (NS) ratio, a 0.647 S: B ratio, and a 12-h oven curing time. …”
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Experimental Study on Stress Evolution and Microseismic Signals under Vibration Conditions of Coal during Excavation and Subsequent Waiting Time by Qifei Wang, Chengwu Li, Pingyang Lyu, Yuechao Zhao, Dihao Ai, Beijing Xie

“…During the excavation and subsequent waiting time, the stress in coal is redistributed, and the concentrated stress is gradually transferred to the deeper section of the coal seam. The Hilbert–Huang transform (HHT) is used to effectively denoise the collected signals. …”
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Preparation of Restricted Access Media-Molecularly Imprinted Polymers for the Detection of Chloramphenicol in Bovine Serum by Shanwen Zhao, Chanling Wei, Zhian Sun, Huachun Liu, Yanqiang Zhou, Xiaoxiao Wang, Jianmin Li, Bolin Gong

“…The CAP-RAM-MIPs were successfully characterized by Fourier-transform infrared spectroscopy, scanning electron microscopy, and thermogravimetric analysis. …”
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Green Chemistry Within the Circular Bioeconomy to Harness Chestnut Burr Extract’s Synergistic Antimicrobial Activity Against <i>Helicobacter pylori</i> by Maria Lucia Schiavone, Roberta Barletta, Alfonso Trezza, Michela Geminiani, Lia Millucci, Natale Figura, Annalisa Santucci

“…The findings underscore the transformative potential of green chemistry in developing effective, eco-conscious antimicrobial therapies that align with global sustainability goals.…”
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Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network by Leixia Tian, Qi Wang, Zhiheng Zhou, Xiya Liu, Ming Zhang, Guiying Yan

“…In this paper, we built a Metapath-based Aggregated Embedding Model on Single Drug–Side Effect Heterogeneous Information Network (MAEM-SSHIN), which extracts feature from a heterogeneous information network of single drug side effects, and a Graph Convolutional Network on Combinatorial drugs and Side effect Heterogeneous Information Network (GCN-CSHIN), which transforms the complex task of predicting multiple side effects between drug pairs into the more manageable prediction of relationships between combinatorial drugs and individual side effects. …”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…Abstract In this article, a new two-parameter distribution is constructed using the inverse transformation technique on the power XLindley distribution. …”
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