Virulence characteristics and antibiotic resistance analysis of Klebsiella pneumoniae isolated from pig farms in Xinjiang, China: revealing potential zoonotic risks by Sheng-Hui Wan, Nana Li, Pei Zheng, Yanfang Li, Yan Liang, Yonggang Qu

“…Ten isolates exhibited strong biofilm-forming ability, while 11 showed moderate biofilm production. …”
Get full text

Integrated network pharmacology, molecular docking and experimental validation to explore the mechanism of Dingji Fumai Decoction against LQTS by Xiaoyan Huang, Yanghong Jin, Jiangfang Lian

“…The herb-compound-target-disease (H-C-T-D) and PPI networks were built using STRING and analyzed with CytoNCA based on the data obtained earlier. …”
Get full text

Generating high-harmonic array beams by Andra Naresh Kumar Reddy, Helmut Zacharias, Hasan Yilmaz, Vyacheslav V. Kim, Victor Kӓrcher, Vijayakumar Anand, Rashid A. Ganeev

“…This 10th harmonic unveiled a spatial distribution, including a unique string structure that is a hallmark of array beams. …”
Get full text

Integrated transcriptomics and proteomics revealed that exogenous spermidine modulated signal transduction and carbohydrate metabolic pathways to enhance heat tolerance of lettuce by Yipei Duan, Wenjing Sun, Qian Wang, Lingling Cao, Huiyu Wang, Jinghong Hao, Yingyan Han, Chaojie Liu

“…Spermidine can improve the ability of lettuce to tolerate high temperatures, however, the molecular mechanism was poorly understood. …”
Get full text

Integrating QR Technology into Enterprise Systems: Accounting and Managerial Innovations in E-Document Flow

Get full text

The efficient prediction of inflammatory osteolysis caused by polylactic acid through network toxicology and molecular docking strategy by Zichen Cui, Tian He, Shuo Zhang

“…Moreover, the results of molecular docking confirmed that PLA displayed a strong binding ability with the core targets and formed stable binding. …”
Get full text

TCOF1 is Identified to be an Unfavorable Biomarker and is Associated with Molecular Classification in Endometrial Cancer by Caiqiu Xu, Qinghai Wang, Yilin Zhang, Qirun Guo, Huiping Jiang, Suiqun Guo

“…Linked Omics database, Web Gestalt gene enrichment, and string database were applied to analyze the possible biological functions of TCOF1 in EC. …”
Get full text

Comparing the Utility of Capture–Mark–Recapture, Telemetry, and Genetic Data in Assessing Population-Level Dispersal by Shashwat Sirsi, Brian J. Halstead, Michael L. Morrison, M. Clay Green, David Rodriguez, Michael R. J. Forstner

“…Here, we used a search string to retrieve dispersal studies for amphibians, reptiles, birds, and mammals. …”
Get full text

On the phenomenological implications of a Pati-Salam model spontaneously broken by Higgs fields in fundamental representations by George K. Leontaris, Ruiwen Ouyang, Ye-Ling Zhou

“…This makes the model more economical and easier to be constructed from string theory, particularly in several heterotic and F-theory models where Higgses in the adjoint representation are absent.…”
Get full text

Prevalence of Cytotoxin-producing Klebsiella oxytoca Isolated from Medical City Complex, Baghdad, Iraq by Haneen Mustaf, Rand Hafidh, Mohammed Alsodani

“…The isolates were identified by manual and biochemical tests. The string test was used to determine the hypermucoviscousity. …”
Get full text

Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis by R. Nandhini Abirami, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Usman Tariq, Chuan-Yu Chang

“…The deep generative adversarial network is unsupervised learning, but adding a certain number of labels in practical applications can improve its generating ability. However, it is challenging to acquire many data labels, but a small number of data labels can be acquired. …”
Get full text

AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks by Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang

“…This supports the method’s ability to capture biologically relevant information. …”
Get full text

Key wound healing genes as diagnostic biomarkers and therapeutic targets in uterine corpus endometrial carcinoma: an integrated in silico and in vitro study by Fuchuan Jiang, Sajjad Ahmad, Sadia kanwal, Yasir Hameed, Qian Tang

“…Overexpression studies in UCEC cell lines demonstrated that CD44 and MMP2 reduce proliferative ability while enhancing migration and wound healing. …”
Get full text

Identification of new genes regulating nodule development in Medicago truncatula: an in-silico approach by Mahboobeh Azarakhsh, Sara Eslami, Maryam Moghadas, Zahra Ataei

“…Among plants, legumes have the ability to fix nitrogen through symbiotic interaction with a specific group of bacteria called rhizobia. …”
Get full text

Talent Management Model in the Context of Coopetitive Interaction and the Knowledge Economy

Get full text

Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Following preprocessing and outlier removal, six features, namely, the flow rate (Q), weight on bit (WOB), standpipe pressure (SPP), depth, torque (T), and drill string rotation (DSR), were utilized as inputs for estimating the ROP. …”
Get full text

Network pharmacology combined with molecular docking and experimental validation of the mechanism of action of columbianetin acetate in the treatment of ovarian cancer by Mengling Hu, Luyao Wang, Feiyue Zhang, Yiluo Xie, Tingting Zhang, Hongli Liu, Zhenghong Li, Jing Zhang

“…OMIM, GeneCards and DisGeNET databases were applied to screen ovarian cancer-related targets. The STRING database to obtain protein-protein interaction (PPI) network. …”
Get full text

Network pharmacology and molecular analysis of mechanisms underlying the therapeutic effects of Rhubarb in treating atherosclerosis and abdominal aortic aneurysm by Huilin Xu, Jun Huang, Youjie Zeng, Xia Wang, Huilin Lian, Siyi Zhang, Ren Guo

“…Protein-protein interaction (PPI) networks for the core targets were constructed using the STRING database. GO and KEGG pathway enrichment analysis was performed using DAVID. …”
Get full text

Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Ensuring the overall efficiency of hydraulic fracturing treatment depends on the ability to forecast bottomhole pressure. It has a direct impact on fracture geometry, production efficiency, and cost control. …”
Get full text

Integrative in Silico modeling for mTOR inhibition: From ridge classifiers to descriptor-free deep neural networks by Seyed Alireza Khanghahi, Hadi Kamkar, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Parviz Abdolmaleki

“…The GRU-QSAR and LSTM-QSAR models, which utilized tokenized SMILES, achieved accuracies of 0.9002 and 0.9021, F1-scores of 0.8595 and 0.8603, and AUCs of 0.9270 and 0.9529, respectively, leveraging their ability to process sequential data.…”
Get full text