Microbiological and Clinicoepidemiological Profile of a Series of Patients with Infective Endocarditis at a Center in Eastern Nepal by Sohani Bajracharya, Basudha Khanal, Shraddha Siwakoti, Rupa Rajbhandari Singh, Sanjib Kumar Sharma

“…The microbiological and clinicoepidemiological profile of infective endocarditis (IE) has undergone significant change over time. The pattern of IE studied at local level provides broader vision in understanding the current scenario of this disease. …”
Get full text

StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

“…Overall, the results show that structural data alone are sufficient for binding affinity predictions and can address pattern recognition challenges introduced by sequence and interaction features. …”
Get full text

Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…Soil thickness is a basic feature of the earth’s land surface. Accurately representing the spatial distribution of soil thickness is important for various models of earth surface processes. …”
Get full text

Hip Involvement in Pediatric Scurvy: Early Magnetic Imaging Signs by Lisa Gamalero, Anna Perrone, Chiara Macucci, Alessandra Meneghel, Marta Balzarin, Sandra Trapani, Giuseppe Indolfi, Giorgia Martini, Teresa Giani

“…In all patients, pelvic MRI showed a bilateral, patchy, abnormal, water-like signal intensity pattern in the sacroiliac area. Sacroiliitis was detected in three children and hip effusion in another child. …”
Get full text

Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

“…Performance of the proposed model was evaluated across three octaves to amplify the maximum possible patterns and features of the base image. The resulting dream-like images contain shapes that reflect elements from the ImageNet dataset on which the above pre-trained models were trained. …”
Get full text

THE USE OF THE ELEMENTS OF MORPHOECOLOGICAL ADAPTATIONS OF ORGANISMS TO THE ENVIRONMENT UNDER PALEOGEOGRAPHIC RECONSTRUCTIONS OF BIOTAS OF TETIYSKY DESERT-STEPPE REGION (BUILDING S... by G. M. Abdurakhmanov, I. V. Shokhin, A. A. Teymurov, A. G. Abdurakhmanov, A. A. Gadzhiev, M. G. Daudova, M. Z. Magomedova, Yu. Yu. Ivanushenko

“…The structure of the feet of Tenebrionidae is closely related to their living conditions and patterns of behavior. Convergence in the structure of the feet of phylogenetically distant species is the result of a match in their evolutionary development of the living conditions and behavioral characteristics. …”
Get full text

Characterizing a complex buildup in the Pearl River Mouth Basin of the northern South China Sea: an interplay of carbonates and igneous rocks by Beichen Chen, Leyi Xu, Baojun Liu, Lili Zhang, Dong Xiao, Ya Gao, Ya Gao, Feng Wu, Xueqi Yang, Yaming Zou, Yongkun Ma, Yinglin Zhang

“…By analyzing the lithofacies of the carbonates and igneous rocks, the morphological features and spatial distribution patterns corresponding to these sedimentary and volcanic facies were identified. …”
Get full text

تطبیق نماذج ونظریات سلوکیات البحث عن المعلومات فى الأطروحات الجامعیة العربیة فى مجالات استخدام المعلومات والافادة منها : دراسة تحلیلیة... by د. هانم عبد الرحیم ابراهیم

“…This study has two parts, the first one is an overview of the information seeking behavior: theories and models, including its’ definition, types, and development. It also compares between them to indicate their various features. …”
Get full text

Handwritten Geez Digit Recognition Using Deep Learning by Mukerem Ali Nur, Mesfin Abebe, Rajesh Sharma Rajendran

“…Convolutional neural network (CNN) is preferable for pattern recognition like in handwritten document recognition by extracting a feature from different styles of writing. …”
Get full text

Testicular Adrenal Rest Tumors: Sonographic and Magnetic Resonance Imaging Characteristics of Its Different Stages by Mohamed Sherif El-Sharkawy

Get full text

Improving the Accuracy of Batik Classification using Deep Convolutional Auto Encoder by Muhammad Faqih Dzulqarnain, Abdul Fadlil, Imam Riadi

“…By forcing the autoencoder to learn a lower-dimensional latent representation that captures the most salient features of the batik patterns. The performance of this enhanced model was compared against a standard convolutional neural network (CNN) without the autoencoder. …”
Get full text

Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method by Zilong Zhao, Zihan Kan, Mei-Po Kwan, Luliang Tang

“…Revealing spatial clustering patterns among urban geographic units is crucial for synergistic regional development and integrated urban management. …”
Get full text

Comparative analysis of amino acid sequence level in plant GATA transcription factors by Mangi Kim

“…Abstract Transcription factors (TFs) are essential regulators of gene expression, influencing numerous biological processes such as development, growth, and cellular responses in plants. …”
Get full text

Uncovering the functional aspect of translator style: corpus stylistic insights by Kan Wu

“…This involves an examination of how the translators render thematic words and handle the resulting lexico-semantic patterns. The findings reveal notable disparities in the translators’ functional styles, which are influenced by multiple translatorial and extra-translatorial factors, including the translators’ backgrounds, motivations, preferences, interpretation, patronage, and technological development. …”
Get full text

Generation and recognition of eye movement samples based on generative artificial intelligence by TAN Xueqing, SONG Jun, ZHANG Manman, ZANG Chuanli

“…Interpreting generative datasets based on grey relational analysis and confusion matrix.ResultsThe results showed that： （1）the eye movement datasets generated by VAE for 4， 5， and 6 years old children had higher accuracy than the MINIST dataset（mixed National Institute of Standards and Technology）， and were consistent with the MLP analysis results， with accuracy， diversity， and certain interpretability； （2）The results of generative eye movement data and confusion matrix indicated that in unfocused structure， children’s understanding level improved at the ages of 4~5 and 5~6， while the eye movement characteristics of object-focus structure and subject-focus structure changed less at the ages of 4~5 and more at the ages of 5~6， indicating that children’s understanding of focus structure was a critical period at the age of 5， which was in line with the development law of children’s understanding of focus structure.ConclusionsThe artificial intelligence coupling analysis proposed in this article could identify the development patterns of eye movement features and generate reliable new samples， providing new ideas for the combination of generative artificial intelligence and eye movement technology.…”
Get full text

The influence of heterogeneity of lacustrine shale facies on rock mechanical properties and brittleness: a case study of Jurassic lacustrine shale reservoirs in Northeast Sichuan B... by Haibo Zhao, Haibo Zhao, Shujun Yin, Shujun Yin, Xuefeng Yang, Xuefeng Yang, Weilin Yan, Weilin Yan, Guangwu Bi, Guangwu Bi, Jianliang Zhang, Jianliang Zhang, Zimeng Xing

“…Through a correlation analysis of normalized rock parameters and the brittleness index derived from stress-strain curves with the fracture breakdown pressure and extension pressure observed in field fracturing, a comprehensive evaluation index has been established using the analytic hierarchy process to reflect the brittleness of deep lacustrine shale.DiscussionThis index serves effectively in characterizing the brittleness features of deep lacustrine shale, and evaluations suggest that the Liang upper section has a relatively high brittleness index and good compressibility, marking it as a key target layer for future shale gas development.…”
Get full text

A Polysorbate-Based Lipid Nanoparticle Vaccine Formulation Induces In Vivo Immune Response Against SARS-CoV-2 by Aishwarya Saraswat, Alireza Nomani, Lin-Kin Yong, Jimmy Chun-Tien Kuo, Heather Brown, Muralikrishna Narayanareddygari, Avery Peace, Rizan Fazily, Timothy Blake, Christopher D. Petro, Bindhu Rayaprolu, Johanna Hansen, Amardeep Singh Bhalla, Mohammed Shameem

“…We hypothesized that substituting conventional linear PEG-lipids with PS-80, a widely used, biocompatible injectable surfactant featuring a branched PEG-like structure, may change the LNPs biodistribution pattern and enhance long-term stability. …”
Get full text

Exploring the association between gender equality in the family and fertility intentions: an explanation of the findings in low-fertility countries by Victor Leocádio, Ana Paula Verona, Simone Wajnman

Get full text

Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review by Kuo-Ching Ying, Pourya Pourhejazy, Zhi-Rong Lin

“…The Main Path Analysis (MPA) and Cluster Analysis (CA) methods are employed to identify patterns of knowledge development and the most significant advancements in the field. …”
Get full text

Spatial heterogeneity of cultural ecosystem services in grand canal rural heritage sites: A community gradient framework using participatory mapping by Xin Jiang, Xi Chen, Qinghai Zhang, Yutao Li, Mingrui Wang, Yongjun Li, Xing Xiong, Xiaoning Wu, Xin Li, Yujia Zhong, Yong Lu

Get full text