Effect of Drought Stress on Growth of Soybean under Seedling Stage by Sheshnath Mishra, Durgesh Patidar

“…Under0% water stress highest relative leaf water content was observed in genotype JS2034 (97.16%) followed by GW10 (93.47%) and GW159 (89.18%) whereas lowest was found in GW28 (20.96%) followed by GW100 (26.31%) and AGS25 (26.66%). On basis of mean data of root length, relative leaf water content, root shoot ratio by length and visual observation of plants, 11 genotypes were identified as drought tolerant and 19 genotypes were identified as medium tolerant. …”
Get full text

Patients' Receipt of Education in the Preoperative Period and Comparison with Patient Satisfaction by Sebiha Candaş, Tuğba Yeşilyurt

“…Method: The population of this descriptive, cross-sectional study consisted of patients hospitalized in surgical clinics in a private hospital and the sample consisted of 246 patients who met the inclusion criteria. Data were collected using a questionnaire developed by the researchers and the Visual Analog Patient Satisfaction Scale. …”
Get full text

Hydroxychloroquine Induced Retinopathy: A Case Series by Maryam Mobini, Ahmad Ahmadzadeh-Amiri, Soghra Khani

“…Based on the collected data, the characteristics of clinical and ophthalmologic changes were reported, and the data were analysed through Independent Sample t Test and χ2.…”
Get full text

An Ensemble of Vision-Language Transformer-Based Captioning Model With Rotatory Positional Embeddings by K. B. Sathyanarayana, Dinesh Naik

“…Traditional models, primarily employing an encoder-decoder framework with Convolutional Neural Networks (CNNs), often struggle to capture the complex spatial and sequential relationships inherent in visual data. This gap in performance underscores the necessity for more sophisticated solutions. …”
Get full text

Efficacy of endoscopic dacryocystorhinostomy combined with bicanalicular silicone tube intubation for the management of chronic dacryocystitis with small lacrimal sac by YU Bo, WU Wencan

“…The tube was removed 3 months after surgery. The basic data, surgical treatment, therapeutic effect (including anatomical and functional success rates) and complications of the included patients were recorded and analyzed through the follow-up data before and 9 months after surgery. …”
Get full text

Life stressors, hypertensive disorders of pregnancy, and gestational diabetes by race/ethnicity. by Forgive Avorgbedor, Thomas P McCoy, Amita Mittal, Lori Hubbard, Stephanie Pickett

“…<h4>Methods</h4>A secondary analysis of Centers for Disease Control and Prevention national Pregnancy Risk Assessment Monitoring System data from 2009 to 2020 was performed. SLEs, HTN before pregnancy, PIH, and GDM, were examined with data visualizations and multivariable weighted log-binomial modeling.…”
Get full text

Association of a mutation in the <i>RUNX1</i> gene with the outcome of the disease in acute myeloid leukemia (meta-analysis) by M. L. Nikonorova, L. K. Kats

“…The article summarizes the data of a systematic review of scientific publications on acute myeloid leukemia over the past 10 years.The objective was to conduct a meta-analysis of the data published in the open press to investigate the nature of the association of mutations in the RUNX1 gene with the outcome of acute myeloid leukemia.Methods and materials. …”
Get full text

Modified LSTM based skin lesion segmentation and classification using optimization concept by S. Gomathi, N. Arunachalam

“…Image analysis has greatly enhanced automatic diagnostic accuracy compared to unaided visual assessment. Machine learning has emerged as a critical technique for automated skin lesion classification; however, its scalability is often constrained by the availability of high-quality annotated data for training. …”
Get full text

Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…Future research directions include optimizing computational efficiency for deployment in edge computing and resource-constrained environments, as well as extending the framework to multimodal environmental data sources, such as hyperspectral imagery and sensor networks.…”
Get full text

Classification Model of Clock Drawing Test Based on Contrastive Learning Using Multi-Channel Features With Channel-Spatial Attention by Changsu Kang, Bohyun Wang, J. S. Lim

“…The features obtained from the multiple channels of the MCC-net were used to compute contrastive loss and learn representations of the data. Subsequently, a classifier was trained to learn the decision boundaries between the data. …”
Get full text

Advancements and limitations of LLMs in replicating human color-word associations by Makoto Fukushima, Shusuke Eshita, Hiroshige Fukuhara

“…Interestingly, color discrimination ability-estimated from our color-word association data showed high correlation with human color discrimination patterns, consistent with previous studies. …”
Get full text

Teaching Communication and Functional Life Skills in Children Diagnosed with Autism Spectrum Disorder by Juliana Ribeiro Rabelo Costa, Daniel Carvalho de Matos

“…The data were discussed in the sense that script fading, for some learners, may improve communication with sentences that impact the acquisition of related non-verbal behavioral chains. …”
Get full text

Large Eddy Simulation Research on the Evolution Mechanism of Aircraft Wake Influenced by Cubic Obstacle by Weijun Pan, Yuming Luo, Shuai Han, Hao Wang

“…In this article, in order to explore the influence of a single obstacle on the evolution of aircraft wake, firstly, we develop a computational fluid dynamics-based method of simulation of aircraft wake affected by cubic obstacle of different heights in order to obtain the wake intensity changes and position changes before and after being affected by the obstacle. Then, the result data are visualized and analyzed, and we obtain the results of velocity and Q criterion contours, circulation, and data related to wake vortex structure. …”
Get full text

Comparative analysis of bone metabolism and inflammatory markers in tibiofibular fractures following closed reduction and fixation: A retrospective study by Li Lingfeng

“…Methods: A retrospective analysis was conducted on the clinical data of 95 patients with tibiofibular fractures, categorised into the CRIF group (CRIFG) and the CREF group (CREFG). …”
Get full text

Clinical Characterization of Patients with Syncope of Unclear Cause Using Unsupervised Machine-Learning Tools: A Pilot Study by María-José Muñoz-Martínez, Manuel Casal-Guisande, María Torres-Durán, Bernardo Sopeña, Alberto Fernández-Villar

“…Patients were prospectively recruited from the cardiology, neurology, and emergency departments, and clustering was performed using the k-prototypes algorithm, which is suitable for mixed-type data. The number of clusters was determined through cost function analysis and silhouette index, and visual validation was performed using UMAP. …”
Get full text

Global research landscape on artificial intelligence in echocardiography from 1997 to 2024: Bibliometric analysis by Leichong Chen, Wenwen Chen, Ye Zhu, Zisang Zhang, Tingting Liu, Li Zhang

“…Methods The Web of Science Core Collection database was utilized to search articles in this area from 1997 to 2024. The filtered data were analyzed and visualized by VOSviewer and CiteSpace software. …”
Get full text

Hyperglycemia Induces Toll-Like Receptor-2 and -4 Expression and Activity in Human Microvascular Retinal Endothelial Cells: Implications for Diabetic Retinopathy by Uthra Rajamani, Ishwarlal Jialal

“…Diabetic retinopathy (DR) causes visual impairment in working age adults and hyperglycemia-mediated inflammation is central in DR. …”
Get full text

Product Innovation Design Method Based on BP Neural Network by Shihui Huang

“…With the emergence of new technologies such as artificial intelligence and big data, the automation and intelligence of advanced algorithms and innovative design methods for online product decision driven by multimodal multimedia data in e-commerce have become inevitable trends in the field of product design, and it is a big challenge to improve the innovative design ability of products by using information technology. …”
Get full text

Daily Functioning Problems in Children with Cerebral Palsy (CP) Aged 5 and More by Joanna Rosińczuk, Katarzyna Lach

“…The author’s self-designed questionnaire was used to collect data in the study. Results. Analysis of the collected data shows that: — according to surveyed parents the most common disorders characteristic for their children are: visual disturbance (75%), speech disorder (65%) and intellectual disability (65%), — one fourth of children with CP are non-ambulant, wheelchair provides independent mobility for the children or they require personal assistance from another person, — problems with balance in vertical position are the most problematic limitation in daily living for the group of surveyed children (68%). …”
Get full text

Interpretable Machine Learning Reveals the Crucial Role of Water Availability in Regulating Thermal Optimality of Terrestrial Ecosystems by Arman Ahmadi, Kanishka Mallick, Koong Yi, Dennis Baldocchi

“…This study employs process‐based interpretable machine learning to investigate the thermal optimality of terrestrial ecosystems multidimensionally and evaluate the role of water availability in regulating thermal behavior and productivity. Our innovative data‐driven approach transcends traditional photosynthesis‐temperature response curves, visualizing the controlling effects of water availability in a three‐dimensional temperature‐moisture‐productivity space. …”
Get full text