Evaluating the acceptance of CBDCs: experimental research with artificial intelligence (AI) generated synthetic response by Sergio Luis Náñez Alonso, Peterson K. Ozili, Beatriz María Sastre Hernández, Luís Miguel Pacheco

“…Generative AI, with its algorithmic fidelity, has great potential for predicting human behavior in economic contexts. …”
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Heterogeneous AI Music Generation Technology Integrating Fine-Grained Control by Hongtao Wang, Li Gong

“…As artificial intelligence algorithms continue to advance, researchers have increasingly harnessed their capabilities to generate music that resonates with human emotions, offering a novel means of alleviating the escalating pressures of contemporary life. …”
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Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction by Omar Abdullatif Jassim, Mohammed Jawad Abed, Zenah Hadi Saied Saied

“…Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. …”
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Plantention: A general-purpose, lightweight and attention-based model for multi-crop leaf disease classification by Brindha Subburaj, Rohan M, Samhruth Ananthanarayanan, Daehan Won

“…Most computerized methods involve some form of Deep Learning algorithms and models to automate the detection process. …”
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On the Prediction and Forecasting of PMs and Air Pollution: An Application of Deep Hybrid AI-Based Models by Youness El Mghouchi, Mihaela Tinca Udristioiu

“…The methodology consists of three main phases: (i) data preprocessing, including anomaly detection and missing value handling; (ii) exploratory analysis to identify trends and correlations between PM concentrations (PMs) and predictor variables; and (iii) model development using 23 machine learning and deep learning algorithms, enhanced by 50 feature selection techniques. …”
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A Hybrid Speech Enhancement Technique Based on Discrete Wavelet Transform and Spectral Subtraction by Yasir Iqbal, Tao Zhang, Teddy Surya Gunawan, Agus Pratondo, Xin Zhao, Yanzhang Geng, Mira Kartiwi, Nasir Saleem, Sami Bourouis

“…Speech quality and intelligibility are often severely degraded by background noise in communication systems such as hearing aid (HA) and speech recognition technologies, compromising their effective use. In low Signal-to-Noise Ratio (SNR) conditions, various approaches and algorithms are applied to improve speech quality and intelligibility. …”
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Prominent events in the development of a simultaneous multidiagnostic system with synthetic peptides by Oscar Noya, Henry Bermúdez, Diana Pachón, Belkisyolé Alarcón de Noya, Diana Ortiz-Princz, Flor Helene Pujol, Sandra Losada

“…The aim of our research was to produce synthetic peptides of the most important pathogens that can be used in a simultaneous multidiagnostic technique. Thus, we designed a low-cost method to detect antibodies, the multiple antigen blot assay (MABA), using synthetic peptides as the main source of antigens from endemic tropical diseases. …”
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Helicobacter pylori eradication treatment for gastric carcinoma prevention in asymptomatic or dyspeptic adults: systematic review and Bayesian meta-analysis of randomised controlle... by Teruhiko Terasawa, Isao Miyashiro, Katsuaki Kato, Takaki Yoshikawa, Reo Takaku, Hiroshi Nishida

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Hierarchical optimization control strategy of hybrid electric vehicle platoon under communication failure by Jingyao Wang, Zhen Zeng, Weihao Lei, Haoxu Ye, Weiheng Su, Xunrui Li, Jinghua Guo, Jin Jiang, Keqiang Li

“…To enhance energy planning efficiency, a PER-D2PG intelligent algorithm is introduced, integrating priority experience replay and dueling networks into DDPG. …”
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Fault Diagnosis of Lithium-Ion Batteries Based on the Historical Trajectory of Remaining Discharge Capacity by Jiuchun Jiang, Bingrui Qu, Shuaibang Liu, Huan Yan, Zhen Zhang, Chun Chang

“…This method can accurately identify the faulty single cell in a battery pack with low-capacity single cells and promptly detect any abnormalities in the single cell when a micro-short circuit fault occurs.…”
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Association of lipoprotein(a) and LPA gene with calcific aortic valve disease by Xinyi Yu, Zean Fu, Minghuan Yu, Yibo Shi

“…The Gene Set Variation Analysis (GSVA) algorithm was used to synthetically score each gene set and analyze differences in pathways in the LPA gene high- and low-expression groups. …”
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Jointly designed quasi-cyclic LDPC-coded cooperation with diversity combining at receiver by Muhammad Asif, Wuyang Zhou, Qingping Yu, Saifullah Adnan, Md Sadek Ali, Muhammad Shahid Iqbal

“…This correspondence proposes a jointly-designed quasi-cyclic (QC) low-density parity-check (LDPC)-coded multi-relay cooperation with a destination node realized by multiple receive antennas. …”
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Assessment of fluid retention in patients with paroxysmal and long-standing persistent types of atrial fibrillation by Alla A. Garganeeva, Venera V. Kirillova, Elena A. Kuzheleva, Roman E. Batalov, Andrey V. Smorgon, Svetlana D. Mayanskaya

“…The objective of our study was to determine the sensitivity of individual symptoms and signs of chronic heart failure (CHF) and echocardiographic criteria for detecting fluid retention in patients with atrial fibrillation and invasively measured elevated atrial pressure. …”
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Seroprevalence rates of transfusion-transmitted infections among blood donors in Jordan by Lina Souan, Faten Tout, Mahmoud Siag, Maher A. Sughayer

“…This study demonstrates the importance of screening for anti-HBc to improve blood and platelet safety and stresses the need to complement it with an algorithm that qualifies reentry of anti-HBc false-positive donors. …”
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Coordinates-based meta-analysis for vestibular migraine and the underlying mechanisms behind it by Xiaoping Fan, Liang Dong, Hui Li, Kuiyun Wang, Jiying Zhou

“…Heterogeneity across studies was low (I2 = 19.35%), and no publication bias was detected (Egger’s test: p = 0.826).ConclusionThis meta-analysis confirms reliable GM volume alterations in the posterior insula–operculum region of VM patients. …”
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Radar versus optical: The impact of cloud cover when mapping seasonal surface water for health applications in monsoon-affected India. by Gowri Uday, Bethan V Purse, Douglas I Kelley, Abi Vanak, Abhishek Samrat, Anusha Chaudhary, Mujeeb Rahman, France F Gerard

“…Backscatter thresholds were identified manually, and our Bayesian algorithm found these thresholds were very likely (>97%). …”
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Comparative assessment of line probe assays and targeted next-generation sequencing in drug-resistant tuberculosis diagnosisResearch in context by Giovanna Carpi, Marva Seifert, Andres De la Rossa, Swapna Uplekar, Camilla Rodrigues, Nestani Tukvadze, Shaheed V. Omar, Anita Suresh, Timothy C. Rodwell, Rebecca E. Colman

“…Interpretation: LPAs demonstrated lower sensitivity and more limited drug resistance detection compared to tNGS workflows, underscoring the advantages of tNGS for improving DR-TB diagnostic algorithms. …”
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Differentiating Pulmonary Nodule Malignancy Using Exhaled Volatile Organic Compounds: A Prospective Observational Study by Guangyu Lu, Zhixia Su, Xiaoping Yu, Yuhang He, Taining Sha, Kai Yan, Hong Guo, Yujian Tao, Liting Liao, Yanyan Zhang, Guotao Lu, Weijuan Gong

“…Results A total of 267 participants were enrolled, including 210 with low‐risk and 57 with moderate‐risk pulmonary nodules. …”
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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f... by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…Introduction Depression and anxiety are highly prevalent mental health conditions that significantly affect quality of life and cause societal burdens. However, their detection and diagnosis rates remain low owing to the limitations of the current screening methods. …”
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Development of an Internet of Things (IoT) embedded open-source gamma-ray detector using CMOS image sensor technology by D. L. Corzi, D. L. Corzi, J. Lipovetzky, J. Lipovetzky, J. Lipovetzky, M. Gómez Berisso, M. Gómez Berisso, M. Gómez Berisso

“…The detector uses simple, physics-based processing algorithms to allow for particle detection using CMOS image sensors on boards with limited processing capabilities. …”
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