Law enforcement in context of transformation of the labor sphere and modernization of the theory of labor relations by S. Yu. Chucha

“…It proves the need to release the employee from liability for offenses detected by artificial intelligence. It is proposed to continue research on the prospects for the formation of labor procedural law.…”
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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

“…They can also be used for breeding purposes as complex donors.…”
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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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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Remote sensing (RS) spectral time series provide a substantial source of information for the regular and cost-efficient monitoring of the Earth’s surface. Important monitoring tasks include land use and land cover classification, change detection, forest monitoring and crop type identification, among others. …”
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Utilizing process mining in quality management: A case study in radiation oncology. by Mohammad Bakhtiari

“…Radiation oncology is known for its complexity, inherent risks, and sheer volume of data. …”
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Hardware and Software Methods for Secure Obfuscation and Deobfuscation: An In-Depth Analysis by Khaled Saleh, Dirar Darweesh, Omar Darwish, Eman Hammad, Fathi Amsaad

“…While various techniques exist to enhance software and hardware security, including encryption, native code, and secure server-side execution, obfuscation emerges as a preeminent and cost-efficient solution to address these challenges. Obfuscation purposely converts software and hardware to improve complexity for probable adversaries, targeting obscure realization operations while preserving safety and functionality. …”
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A Multiagent Decision-Making Model for Martian Landing Site Selection by Rong Wang, Yongjiu Feng, Panli Tang, Pengshuo Li, Yiyan Dong, Yusheng Xu, Chao Wang, Sicong Liu, Yanmin Jin, Shijie Liu, Xiaohua Tong

“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
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Recycling of Lithium Iron Phosphate Batteries: From Fundamental Research to Industrialization by Yue Wang, Xiaohong Zheng, Dingshan Ruan, Shili Zheng, Hongbin Cao, Changdong Li, Zhi Sun

“…It concludes that direct regeneration has greater application potentials but remains at an initial research stage while indirect regeneration is suitable for situations with complex raw materials or high-value resource reserves. …”
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Fast Reflectance Spectral Profile Reconstruction Method for Full-waveform Hyperspectral LiDAR by Hui SHAO, Hulong ZHANG, Hui DAI, Yuwei CHEN, Long SUN, Heng XU, Xingyun LI

“…To obtain the target reflectance spectral profile, a common solution is to correct the echo intensity (standard reference correction method) using standard diffuse reflectance whiteboards. However, in complex detection environments, whiteboards are susceptible to contamination, and the transmitting intensity of the laser may fluctuate due to changes in the environment and equipment conditions, which may potentially impact the calculation accuracy. …”
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NEUROINFLAMMATION IN CRITICAL CARE: MECHANISMS AND PROTECTIVE ROLE OF HYPOTHERMIA by Evgeniy V. Grigoriev, Dmitriy L. Shukevich, Georgiy P. Plotnikov, Maria V. Khutornaya, Anna V. Tsepokina, Artem S. Radivilko

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A fair dividend approach for aggregating wearable sensor data to improve electronic health records. by Turki M Alanazi, Noha Alduaiji, Chahira Lhioui, Rim Hamdaoui, Somia Asklany, Monia Hamdi, Ali Elrashidi, Ghulam Abbas

“…The sequence determination uses balanced linear scheduling, optimizing the structure of sensing operations and increasing WS input availability when interruptions from multiple sensors, thereby boosting operating efficiency. The proposed approach outperforms baseline methods in access time, computational complexity, data utilization, processing time, aggregation ratio, and error rate by 10.18%, 5.19%, 10.57%, 8.48%, and 10.42%, respectively. …”
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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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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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Technology Integration to Support Nurses in an “Inpatient Room of the Future”: Qualitative Analysis by Elizabeth R Stevens, Veronica Alfaro Arias, Son Luu, Katharine Lawrence, Lisa Groom

“…Analysis identified four major themes considered central to designing a technology-integrated inpatient room that enhances nursing workflow and experience: (1) the need for seamless integration of technologies advocating for a unified system that minimizes fragmented technology use and enhances efficiency; (2) the potential for technology to reduce cognitive load, alleviate mental strain, and streamline complex workflows; (3) a focus on enhancing interpersonal communication with specific emphasis on tools that facilitate clear and efficient communication among clinicians and with patients; and (4) the importance of improved staff well-being with design considerations aimed at promoting both physical and mental health for health care workers in the inpatient setting. …”
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Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages by Naomi Hirota, Shinya Suzuki, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroaki Semba, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Takayuki Otsuka, Junji Yajima, Tokuhisa Uejima, Yuji Oikawa, Takeshi Yamashita

“…Conclusions As HCM progresses to dHCM, a shift in HPI from the ST‐T segment to the QRS complex provides clinically relevant insights. For HCM subtypes, the top 10 ECG parameters yield predictive performance similar to the full parameter set, supporting efficient approaches for AI‐based diagnostic models.…”
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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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A Novel TKEO With the Decision Tree–Based Method for Fault Analysis of the HVDC Transmission Link Fed by Offshore Wind and Solar Farms by Rajesh Babu Damala, Ramana Pilla, V. Manoj, S. Ramana Kumar Joga, Chidurala Saiprakash, Theophilus A. T. Kambo

“…Detecting and classifying various faults on high voltage DC transmission (HVDC) lines and pinpointing their locations are crucial tasks for the power system’s efficient operation. …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…This method utilizes DLA-60 (deep layer aggregation) as the core network to ensure detection accuracy and speed, and it integrates an efficient channel attention (ECA) mechanism to boost feature extraction capability. …”
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SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes by Rasha Alshawi, Md Meftahul Ferdaus, Md Tamjidul Hoque, Kendall Niles, Ken Pathak, Steve Sloan

“…This article introduces the semantic Haar-adaptive refined pyramid network (SHARP-Net), a novel architecture for semantic segmentation that delivers precise and efficient defect detection. SHARP-Net combines multiscale feature fusion, depthwise separable convolutions, and fine-tuned Haar-like features to enhance performance while reducing computational complexity. …”
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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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