Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…With their ability to find solutions among complex relationships of variables, machine learning (ML) techniques are becoming more applicable to various fields, including health risk prediction. …”
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Law enforcement in context of transformation of the labor sphere and modernization of the theory of labor relations by S. Yu. Chucha

“…After that, a new form of labor organization can be subject to various sets of other industry norms and institutions, the use of which ensures the protection of the employee and an increase in production efficiency. The necessity of changing the presumption of proving the existence of labor relations to proving civil relations is substantiated.Conclusions. …”
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Marker-assisted selection in the development of advanced apple-tree forms and donors combining scab resistance with increased fruit storability by I. I. Suprun, E. A. Egorov, A. I. Nasonov, E. V. Lobodina, S. V. Tokmakov, I. V. Stepanov

“…Cultivation of scab-resistant apple cultivars with better fruit storability increases the economic efficiency and environmental friendliness of horticulture. …”
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Leveraging artificial intelligence for photo identification to aid CITES enforcement in combating illegal trade of the endangered humphead wrasse (Cheilinus undulatus) by C. Y. Hau, W. K. Ngan, Y. Sadovy de Mitcheson, Y. Sadovy de Mitcheson, Y. Sadovy de Mitcheson

“…To address this, a photo identification system utilizing the unique complex facial patterns of humphead wrasse was established enabling enforcement officers to detect possible laundering by monitoring individual fish at retail outlets.Methods and resultsDeep learning models were developed for facial pattern extraction and comparison to enhance efficiency and accuracy. …”
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Recent advances in the biosynthesis and production optimization of gentamicin: A critical review by Feng Xu, Kaihao Hu, Ali Mohsin, Jie Wu, Lihuan Su, Yuan Wang, Rong Ben, Hao Gao, Xiwei Tian, Ju Chu

“…Gentamicin, an aminoglycoside antibiotic, is generated by a few species within the genus Micromonospora and has garnered significant attention due to its broad-spectrum efficacy in combating numerous infectious diseases. Comprising a complex array of closely related aminoglycoside compounds, the gentamicin B and C complexes emerge as particularly pertinent in clinical contexts. …”
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Multi-Objective Optimization of Manufacturing Process Using Artificial Neural Networks by Katarína Marcineková, Andrea Janáková Sujová

“…This multi-objective optimizing solution facilitates enhanced process efficiency. By integrating Systems Theory, Complexity Theory, and adaptive management, this research advances sustainable process improvements by minimizing resource use, reducing waste, and enhancing overall system efficiency.…”
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Identifying and Preserving Parathyroid Glands During Thyroid Surgery Using Indocyanine Green and a Review of the Literature by Maziar Motiee‐Langroudi, Athena Farahzadi, Mohammad Shirkhoda, Habibollah Mahmoodzadeh, Ramesh Omranipour, Amirmohsen Jalaeefar, Iraj Harirchi

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Artificial Intelligence in Video Games: Towards a Unified Framework by Firas Safadi, Raphael Fonteneau, Damien Ernst

“…With modern video games frequently featuring sophisticated and realistic environments, the need for smart and comprehensive agents that understand the various aspects of complex environments is pressing. Since video game AI is often specifically designed for each game, video game AI tools currently focus on allowing video game developers to quickly and efficiently create specific AI. …”
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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine by Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu

“…There are several elements that contribute to the complexity of the task, making it more challenging to detect human activities, i.e., (i) poor lightning conditions; (ii) different viewing angles; (iii) intricate clothing styles; (iv) diverse activities with similar gestures; and (v) limited availability of large datasets. …”
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ALK Family Inhibitor A83-01 Promotes the Proliferation of Mouse Male Germline Stem Cells (mGSCs) Under Serum- and Feeder-Free Conditions by Meng YU, Long WANG, Yue HU, Zhi-min LIAN, Jin-lian HUA

“…After continuous culturing, the proliferation efficiency of undifferentiated mGSCs and differentiation capacity of mGSC were examined as well. …”
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Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments. by Jingshu Wang, Qingyuan Zhao, Jack Bowden, Gibran Hemani, George Davey Smith, Dylan S Small, Nancy R Zhang

“…By using GWAS summary statistics, GRAPPLE can efficiently use both strong and weak genetic instruments, detect the existence of multiple pleiotropic pathways, determine the causal direction and perform multivariable MR to adjust for confounding risk factors. …”
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Quantifying Evapotranspiration and Environmental Factors in the Abandoned Saline Farmland Using Landsat Archives by Liya Zhao, Jingwei Wu, Qi Yang, Hang Zhao, Jun Mao, Ziyang Yu, Yanqi Liu, Anne Gobin

“…This study investigates the complex interaction of biophysical and meteorological factors that drive evapotranspiration (ET) in saline environments. …”
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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

“…AI techniques can process large datasets with high accuracy, significantly improving the speed and precision of AD detection. However, despite these advancements, issues such as limited accuracy, computational complexity, and the risk of overfitting still pose challenges in the field of AD classification. …”
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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…It integrates ZDM strategies with Industry 4.0 technologies, including the Internet of Things (IoT) and machine learning, to enhance manufacturing efficiency and precision. It goes beyond the conventional approaches including process oriented, product oriented, and emerging human oriented ZDM, and identifies the effective dynamic factors on product quality. …”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…The proposed model utilizes a hybrid framework that combines standard and dilated convolutional networks, advanced attention mechanisms, and temporal sequence learning to address the complexities of ECG data. A parallel architecture integrates a MobileViT block for efficient spatial feature extraction and an Efficient Channel Attention (ECA) module to refine feature representations. …”
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Genome-wide association analysis of grain iron and zinc in rice grown under agroclimatic sites with contrasting soil iron status by Sonu, Amit Kumar, Vikram Jeet Singh, Prolay Kumar Bhowmick, Shekharappa Nandakumar, Sunaina Yadav, Subbaiyan Gopala Krishnan, Ranjith Kumar Ellur, Haritha Bollinedi, Ashok Kumar Singh, Kunnummal Kurungara Vinod

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Canopy Chlorophyll Content Inversion of Mountainous Heterogeneous Grasslands Based on the Synergy of Ground Hyperspectral and Sentinel-2 Data: A New Vegetation Index Approach by Yi Zheng, Yao Wang, Tayir Aziz, Ali Mamtimin, Yang Li, Yan Liu

“…The results indicated the following: (1) DRECAVI demonstrated the highest accuracy in CCC retrieval for mountainous vegetation (R² = 0.74, RMSE = 16.79, MAE = 12.50) compared to other VIs and hybrid methods, effectively mitigating saturation effects in high biomass areas and capturing a weak bimodal distribution pattern of CCC in the montane meadow. (2) The blue band B1 enhances atmospheric correction robustness by suppressing aerosol scattering, and the red-edge band B7 overcomes the sensitivity limitations of conventional red-edge indices (such as NDVI705, CIred-edge, and NDRE), demonstrating the potential application of the synergy mechanism between the blue band and the red-edge band. (3) Although the S2BP achieved high accuracy (R² = 0.73, RMSE = 19.83, MAE = 14.71) without saturation effects and detected a bimodal distribution of CCC in the montane meadow of the study area, its algorithmic complexity hindered large-scale operational applications. …”
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Study of local inflammatory response in different clinical forms of chronic polypous rhinosinusitis by E. A. Varyushina, E. V. Bezrukova, E. V. Vorobeychikov, E. V. Kravchenko, J. V. Sukhareva, M. A. Aflitonov, A. S. Simbirtsev

“…The results obtained are essential to understanding the mechanisms of pathogenesis in various subgroups of CRSwNP, assessing severity of the disease and efficiency of the treatment applied.…”
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Implementasi Keamanan Ruangan Berbasis IoT dengan Sensor PIR, Telegram, dan Peringatan Suara by Adi Wibowo Adi, Fandi Kurniawan

“…The system also effectively sends real-time notifications to the Telegram app and provides efficient sound alerts. Thus, this system significantly enhances home security with minimal cost and complexity, offering convenience and quick response to users. …”
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A hybrid model for refining gross primary productivity estimation by integrating multiple environmental factors by Zhilong Li, Ziti Jiao, Zheyou Tan, Chenxia Wang, Jing Guo, Sizhe Chen, Ge Gao, Fangwen Yang, Xin Dong

“…Environmental factors lead mainly to the uncertainty of gross primary productivity estimation in most light use efficiency (LUE, ε) models since the simple physical formulas are inadequate to fully express the overall constraint of diverse environmental factors on the maximum ε (εmax). …”
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