Evaluation of Preemergence Herbicide Programs for Control of Protoporphyrinogen Oxidase-Resistant Amaranthus palmeri in Soybean by Michael M. Houston, L. Tom Barber, Jason K. Norsworthy, Trent L. Roberts

“…Treatments that consisted of PPO- or acetolactate synthase- (ALS-) inhibiting herbicides such as flumioxazin (72 g ai ha−1) or sulfentrazone + cloransulam (195 g ha−1 + 25 g ha−1) controlled Palmer amaranth <60%. …”
Get full text

Macroporous scaffolds based on biomass polymers and their applications in wound healing by Daqian Gao, William D. Shipman, Yaping Sun, Joshua Zev Glahn, Leleda Beraki, Henry C. Hsia

Get full text

Family participatory clown therapy in venipuncture in hospitalized children: A non-randomized controlled trial. by Tianyu Chen, Qiying Chen, Zhenhua Lin, Jingfang Ye

“…We assessed children's pain (FLACC and W-B FPS), anxiety (VAS-A), medical fear (CFS), crying incidence, compliance, parental anxiety (S-AI), and parental satisfaction.<h4>Results</h4>At venipuncture, the FLACC score was lower in the experimental group (4.46±2.053) compared to the control group (5.96±2.441), the W-B FPS score was also lower in the experimental group (4.96±2.392) than in the control group (6.35±2.266), with a statistically significant difference (P<0.05).The children in the experimental group had lower levels of anxiety, medical fear, crying, and parental anxiety than the control group. …”
Get full text

Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…VQA systems represent a crucial step towards the development of advanced AI systems that bridge the gap between computer vision and human language understanding, fostering a deeper and more integrated interaction with the real world. …”
Get full text

The interdisciplinarity of the publications of the Medical University of Silesia in Katowice based on the analysis of the co-occurrence of issues specific to medicine and computer... by Ewelina Paluch, Marcela Mikulska

“…The study showed the importance of computer Science issues in the medical publications and highligted the growing importance of AI in the field of medicine. …”
Get full text

T-LLaMA: a Tibetan large language model based on LLaMA2 by Hui Lv, Chi Pu, La Duo, Yan Li, Qingguo Zhou, Jun Shen

“…Furthermore, we augmented the vocabulary of LLaMA2 from META AI by expanding the Tibetan vocabulary using SentencePiece. …”
Get full text

A Patient with Uncontrollable Belching: What to Do? by I. V. Maev, Yu. A. Kucheryaviy, E. V. Barkalova, M. A. Ovsepyan

Get full text

A Review on Machine Learning Application in Biodiesel Production Studies by Yuanzhi Xing, Zile Zheng, Yike Sun, Masoome Agha Alikhani

“…Biodiesel production is an intricate process that requires identifying unknown nonlinear relationships between the system input and output data; therefore, accurate and swift modeling instruments like machine learning (ML) or artificial intelligence (AI) are necessary to design, handle, control, optimize, and monitor the system. …”
Get full text

A study on the assessment of learner ability based on the combination of auto-encoder and quadratic k-means clustering algorithm by Junfeng Man, Rongke Zeng, Xiangyang He, Hua Jiang

“…At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students’ ability become the trend of intelligent education in the future. …”
Get full text

Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

“…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
Get full text

Transarterial Chemoembolization of Metastatic Liver Lesions in Patients with Colorectal Cancer by O. Yu. Stukalova, G. P. Gens, Z. Kh. Shugushev, V. V. Maslov, A. G. Chepurnoy

Get full text

Comparison Of Knowledge and Attitude Towards Chat GPT In First and Final-Year Dental Students by Sadia Naureen, Huma Ghazanfar Kiani, Nadia Naureen, Mahnoor Shafique

“…Conclusion: These results highlight that there is a strong need to improve knowledge and a positive attitude towards the use of AI tools like Chat-GPT in dental students. Keywords: Artificial Intelligence, Chat-GPT, Dental education, Dental students, Knowledge, Attitude. …”
Get full text

FedCLCC: A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing by Kangning Yin, Xinhui Ji, Yan Wang, Zhiguo Wang

Get full text

Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding by Jong-Hyeok Lee, Kyung-Soon Jang, Byung-Gyu Kim, Seyoon Jeong, Jin Soo Choi

“…Experimental results show that the encoding complexity can be reduced by up to 12.35% on average in the AI-Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared with HEVC test model (HM) 12.0-RExt4.0 reference software.…”
Get full text

Adaptive Spatial Lattice Manufacturing (ASLM): A novel approach to efficient lattice structure production by Justin Dirrenberger, Pierre Lapouge, Rachel Azulay, Peter Evers, Tom Vroemen

“…Adaptive Spatial Lattice Manufacturing (ASLM) represents a groundbreaking method for fabricating lattice structures by leveraging AI-driven robotic laser welding. Unlike traditional additive manufacturing techniques, ASLM corresponds to a direct assembly of solid rods, by welding, offering remarkable benefits in energy efficiency, dimensional accuracy, and scalability. …”
Get full text

Macro world in nano hands: Nano revolutions in medicine and food processing with the aid of nanosensors by Gayatri Kotekar, Sucheta Gaikwad, Anukriti Nigam

Get full text

Development of a Comprehensive Comparison Software for Automated Decision-Making in Impulse Testing of Power Transformers, Including a Review of Practices from Analog to Digital by Welson Bassi

“…The developed methodology and implemented metrics can form the basis for future machine learning or artificial intelligence (AI) applications. While digital tools offer significant advantages in impulse testing, improve reliability, reduce subjectivity, and provide robust decision-making metrics, their test approval remains based on visual comparisons due to consolidated engineering practices. …”
Get full text

Future of Bangladeshi garments sizing system: Review by Haque Nizam Eanamul

“…The study highlights recent advancements in 3D body scanning and AI-driven predictive sizing models, which can offer precise measurements and accommodate diverse body types. …”
Get full text

Image dataset: UAV images and ground data of one ‘Bingo’ mandarin and two ‘Valencia’ orange rootstock trials conducted in FloridaAg Data CommonsAg Data Commons by Randall P. Niedz, Kim D. Bowman

“…The combination of ground validated measures and aerial images make this data set useful for building AI-based aerial image data collection applications. …”
Get full text

Bilateral Reference for High-Resolution Dichotomous Image Segmentation by Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe

Get full text