Biodecaffeination by Pseudomonas pseudoalcaligenes TPS8, an Isolated Strain from Tea Plantation Soil by morahem Ashengroph, Sajad Ababaf

“…Thirteen bacterial strains, isolated from tea plantation soils in the north region of Iran, were screened to show their abilities in using caffeine as the sole source of carbon and nitrogen. …”
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Professional Judgment and Skepticism Amidst the Interaction of Artificial Intelligence and Human Intelligence by Delia DELIU

“…The integration of AI in auditing promises enhanced efficiency, precision, and data processing capabilities beyond human limits. …”
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Effects of AR on Cognitive Processes: An Experimental Study on Object Manipulation, Eye-Tracking, and Behavior Observation in Design Education by Ju Yeon Kim, Jin Kyung Choi

“…The results indicate that, although both groups engaged similarly with AR content, the experimental group demonstrated more precise manipulation and a deeper understanding of spatial relationships, leading to more efficient task completion. These findings suggest that AR-based learning experiences should be tailored to learners’ spatial reasoning abilities to maximize educational benefits. …”
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The Possibilities of Legal Leveling of Political, Organizational and Managerial Risks of Using Artificial Intelligence by Alexander S. Kiselev

“…While a “strong AI” with cognitive abilities closely matching humans does not currently exist, recent trends suggest that society, governments, and even developers may not always foresee the negative consequences of emerging technologies. …”
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Measuring Distraction at the Levels of Tactical and Strategic Control: The Limits of Capacity-Based Measures for Revealing Unsafe Visual Sampling Models by Tuomo Kujala, Pertti Saariluoma

“…Visual sampling measures did indicate effects of text type on participants' tactical abilities. Differences in participants' visual sampling strategies leading to different levels of systematicity in visual behaviors can explain the variances in visual sampling efficiency. …”
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Research on the Design and Implementation Strategy of Personalized Art Education Experience Based on AICG by Wang Jiaqi

“…The study also analyzed how AICG generates personalized content based on students’ interests and abilities, assists students in artistic creation, and enhances learning outcomes through multi-sensory and immersive experience design. …”
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Exploring students’ experiences and perceptions of human-AI collaboration in digital content making by Yohan Hwang, Jang Ho Lee

“…This study compared the groups in terms of their creative problem-solving abilities and curiosity. The findings indicated that the PL group showed significantly enhanced creative problem-solving skills compared to the DL group. …”
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Enhancing Fabric Detection and Classification Using YOLOv5 Models by Makara Mao, Jun Ma, Ahyoung Lee, Min Hong

“…The YOLO series is widely recognized for its efficiency in the real-time detection of objects within images and videos. …”
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HYBRID COMMUNICATION NETWORK OF MOBILE ROBOT AND QUAD-COPTER by Moustafa M. Kurdi

“…Having the capacity to navigate accurately is one of the major abilities of a mobile robot to effectively execute a variety of jobs including manipulation, docking, and transportation. …”
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Analysis of Long-term Water Quality up to the Standard in Jinchuan River Basin Based on Hydrodynamic and Water Quality Model by CHEN Liming, YU Xin, JIN Zhe, CHEN Chen, CHEN Liangang, WANG Gaoxu

“…The water quality of the Jinchuan River Basin cannot reach the standard steadily all year round.Thus,after analyzing the pollution characteristics of the basin,this paper proposes three schemes for water quality that can reach the standard in the long term,considering the improvement in the treatment,water supplement,and sewage interception abilities in sewage treatment plans of this basin.Meanwhile,prediction and analysis are also conducted on the water quality improvement effects of each plan.The results are as follows.In current pollution source conditions,regarding the two schemes where sewage treatment efficiency is increased by 10% and the basin water supplement rises by 50% on this basis,the peak concentration of ammonia nitrogen decreases,whereas the concentration is still higher than the Class V water standard.In the third scheme where the inflow concentration can achieve the assessment objectives of a south sewage treatment plant,the pollution load of pollutants into the river is reduced by about 44.4%.Therefore,the ammonia nitrogen concentration in the river network is significantly decreased,and the ammonia nitrogen concentration in the Baotaqiao section of downstream is reduced to 1.85 mg/L.Its water quality can meet the long-term water quality up to the standard in the whole process.The results can provide an effective scientific basis for water pollution control and prevention in the Jinchuan River Basin.…”
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On the emergent capabilities of ChatGPT 4 to estimate personality traits by Marco Piastra, Patrizia Catellani

“…The results show that ChatGPT 4 has moderate but significant abilities to automatically infer personality traits from written text. …”
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Bacterial Spore Inactivation Technology in Solid Foods: A Review by Tian Maojin, Zhou Zheng, Hu Ying, Han Yanyan, Zhou Liang

“…In response to physiological stress, some bacterial strains have the ability to produce spores that are able to resist conventional food heating processes and even more extreme environmental factors. …”
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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

“…Artificial intelligence (AI) has emerged as a transformative field in computational research with diverse applications in medicine, particularly in the field of liver transplantation (LT) given its ability to analyze and build upon complex and multidimensional data. …”
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Nonlinear Local Deformations of Erythrocyte Membranes: Normal Erythrocytes (Part 1) by A. M. Chernysh, E. K. Kozlova, V. V. Moroz, V. A. Sergunova, O. E. Gudkova, A. P. Kozlov, E. A. Manchenko

“…The method of recording nonlinear deformations may be especially efficient in the reanimatology and rehabilitation practice.…”
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Prevention and Rehabilitation of the Athletic Hamstring Injury by Adriana Geraci, P.T., D.P.T., Delaney Mahon, P.T., D.P.T., Eric Hu, B.S., Jesus E. Cervantes, B.S., Shane J. Nho, M.D., M.S.

“…To improve an athlete’s ability to return to sport and minimize days off due to injury, a programmed rehabilitation program combining a range of training parameters that ensure the athlete can work near the limit of their capacity while concurrently allowing sufficient time for the injured tissue to heal is essential. …”
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Synthesis of Rhodamine TEMPO Conjugates via Isonitrile‐Based Multicomponent‐Reactions for Mitochondria‐Targeted ROS‐Detection in Cancer Cells by Haider N. Sultani, Ibrahim M. Morgan, Hidayat Hussain, Haleh H. Haeri, Dariush Hinderberger, Goran N. Kaluđerović, Bernhard Westermann

“…The use of the Ugi multicomponent reaction enables an efficient and versatile synthetic approach, offering significant advantages over previously reported methods for constructing ROS‐detecting probes. …”
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Anti-radar based on metasurface by Zongzheng Sun, Lei Zhang, Xiao Qing Chen, Hong Xu, Guoyao Xiao, Yi Ning Zheng, Yaojun Wu, Zhixing Liu, Haosheng Fu, Xiaoyang Zhou, Zhanye Chen, Hui Chen, Yinghui Quan, Tie Jun Cui

“…Abstract In advanced multi-static radar (MSR), multidimensional information from target echo signals is collected by different receivers to enable precise localization using various algorithms. Owing to its efficient target localization and tracking capability, MSR has found wide applications in sensing, military operations, aviation, and aerospace. …”
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Generation of Multiple‐Depth 3D Computer‐Generated Holograms from 2D‐Image‐Datasets Trained CNN by Xingpeng Yan, Jiaqi Li, Yanan Zhang, Hebin Chang, Hairong Hu, Tao Jing, Hanyu Li, Yang Zhang, Jinhong Xue, Xunbo Yu, Xiaoyu Jiang

“…However, the homogenization and difficulty of obtaining 3D high‐resolution datasets seriously limit the generalization ability of the model. A novel approach is proposed to train 3D encoding models based on convolutional neural networks (CNNs) using 2D image datasets. …”
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Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting by Junchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, Fazirulhisyam Hashim, Mohd Zainal Abidin Ab Kadir

“…Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. …”
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Numerical modeling of electromagnetic wave propagation in spatially-varying evaporation duct conditions via 3D parabolic equation method by Hanjie Ji, Hanjie Ji, Lixin Guo, Yan Zhang, Tianhang Nie, Yiwen Wei, Jinpeng Zhang, Qingliang Li, Xiangming Guo, Yusheng Zhang

“…An even-odd splitting Fourier transform algorithm enables efficient computational analysis of EM wave propagation across azimuthal planes. …”
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