Cbp1, a fungal virulence factor under positive selection, forms an effector complex that drives macrophage lysis. by Dinara Azimova, Nadia Herrera, Lucian Duvenage, Mark Voorhies, Rosa A Rodriguez, Bevin C English, Jennifer C Hoving, Oren Rosenberg, Anita Sil

“…Taken together, these data imply that Cbp1 is a fungal virulence factor under positive selection that localizes to the cytosol to trigger host cell lysis.…”
Get full text

Yield and Quality of New Strawberry Advanced Breeding Selections and Commercial Cultivars, Grown Under Warm-Temperate Climatic Conditions by Gessica Altieri, Daniele Curcio, Alessandra Lepore, Elèna Grobler, Angela Maffia, Nicola Gargano, Antonio Tedesco, Maria Luisa Graziano, Pierluigi Mazzei, Franco Capocasa, Bruno Mezzetti, Giuseppe Celano

“…Results showed that Dina, AN15,07,53, and AN16,53,54 had higher levels of soluble sugars, organic acids, and anthocyanins than the other cultivars evaluated. In addition, AN16,53,54 showed anticipated peak production and plant yield similar to that of commercial cultivars. …”
Get full text

Computed Tomography Imaging Guided Microenvironment‐Responsive Ir@WO3−x Dual‐Catalytic Nanoreactor for Selective Radiosensitization by Jiayu Song, Yue Feng, Jiazhuo Yan, Ying Wang, Weixiao Yan, Nan Yang, Tusheng Wu, Sijia Liu, Yuan Wang, Nannan Zheng, Liangcan He, Yunyan Zhang

Get full text

Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring by S. Azadnejad, A. Kandiri, A. Hrysiewicz, F. O’Loughlin, E.P. Holohan, S. Dev, S. Donohue

“…Compared to standard amplitude difference dispersion (ADD) analysis, the MLP model increases the number of coherent pixels over buildings, linear infrastructure, and non-urban classes by 40 %, 68 %, and 45 %, respectively. In addition, the MLP model approach produces fewer unreliable (non-coherent) pixels; over non-urban regions, 70 % to 80 % of pixels selected by the ADD analysis have low temporal coherence (<0.8), compared to only 10 % to 12 % selected by the MLP model.…”
Get full text

Proximate Composition, Minerals and Amino Acids Profiles of Selected Wild Edible Russula Species from Côte d’Ivoire by Kouassi Kouamé Appolinaire, Konan Kouassi Hubert, Kouadio Jean Parfait Eugène, Due Edmond Ahipo, Kouamé Patrice Lucien

“…In this study, the proximate composition, mineral element and amino acid profile of three selected wild edible Russula species from Center of Côte d’Ivoire including Russula delica, Russula lepida and Russula mustelina were investigated. …”
Get full text

Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability by Zeeshan Ahmed, Kashif Munir, Muhammad Usama Tanveer, Syed Rizwan Hassan, Ateeq Ur Rehman, Habib Hamam

Get full text

The Magellanic Woodpecker’s role in its assemblage: a case study of cavity provisioning and habitat selection in the world’s southernmost forests by Amy L. Wynia, Ricardo Rozzi, Jaime E. Jiménez

“…Magellanic Woodpeckers selected taller and larger-diameter Nothofagus trees to excavate their cavities, which were placed higher off the ground and had wider cavity entrances compared to those used by SCUs. …”
Get full text

L-Methioninase as a Selective Anticancer Agent: Dose-Dependent Cytotoxicity and Metastasis Suppression in Methionine-Dependent Tumor Cells by Abbas Abed Noor Al-Owaidi, Mohammed Abdullah Jebor

“…Additionally, L-Met reduced matrix metalloproteinase activities in both cancer cell lines, a critical factor in metastasis. …”
Get full text

MIL-53(Al)-derived bimetallic Pd–Co catalysts for the selective hydrogenation of 1,3-butadiene at low temperature by Lili Liu, Miaoliang Zang, Lei Li, Yunkai Zhang, Leyuan Wang, Xiaojing Zhou, Chunling Xin, Xishi Tai

“…In addition, the PdCo/MIL-53(Al)-A700 catalyst maintained its catalytic activity and total butene selectivity after three regenerations in a flow of N2 at 200 °C. …”
Get full text

Optimizing Site Selection for Construction: Integrating GIS Modeling, Geophysical, Geotechnical, and Geomorphological Data Using the Analytic Hierarchy Process by Doaa Wahba, Awad A. Omran, Ashraf Adly, Ahmed Gad, Hasan Arman, Heba El-Bagoury

Get full text

Selectivity of water-based extracts of Serjania spp. on Tetrastichus howardi (Hymenoptera: Eulophidae), an endoparasitoid of Plutella xylostella (Lepidoptera: Plutellidae) by E. C. Faca, E. A. Ferreira, H. C. Pereira, A. Rodrigues, R. M. Da Silva, C. A. G. Fioratti, F. F. Pereira, R. Mussury

“…In the second bioassay, the ASPECLE (Evaluation of Pesticide Selectivity under Extended Laboratory Conditions) system, adapted from the International Organization for Biological Control (IOBC) standard model, was used. …”
Get full text

Leveraging federated learning for DoS attack detection in IoT networks based on ensemble feature selection and deep learning models by Tasneem Qasem Al-Ghadi, Selvakumar Manickam, I. Dewa Made Widia, Eka Ratri Noor Wulandari, Shankar Karuppayah

“…Additionally, a wrapper-based Recursive Feature Elimination (RFE) method is used to refine feature selection by removing redundant and irrelevant features. …”
Get full text

Organizacijska kultura v izbrani pravni osebi javnega sektorja [Organisational Culture in Selected Legal Entity in Public Sector] by Sonja Belac, Katarina Košmrlj, Mirko Markič

“…Data and information were collected using the OCAI questionnaire – Organizational Culture Assessment Instrument developed by Cameron and Quinn in addition of two questions referring to the resistance to change. …”
Get full text

Viscoelastic to elastic transformation of soft polymer properties for accelerated materials selection based on tissue dynamics in tissue engineering applications by Kamil Elkhoury, Guan-Lin Chen, Erfan Noorbakhsh Noshahri, Julio Zuazola, Nikhil Gupta, Sanjairaj Vijayavenkataraman

Get full text

Enhancing the selectivity and conditional sensitivity of an antimicrobial peptide through cleavage simulations and homoarginine incorporation to combat drug-resistant bacteria by Keyi Yao, Jiachen Liu, Ruize Sun, Yun Wang, Yangyang Jiang, Tao Wang, Xiaoling Chen, Chengbang Ma, Tianbao Chen, Chris Shaw, Mei Zhou, Lei Wang

“…Mechanism studies revealed that the peptide exerts its bactericidal effects by disrupting the bacterial membrane. Additionally, it demonstrated strong therapeutic efficacy in treating Galleria mellonella models infected with drug-resistant Escherichia coli. …”
Get full text

Real time intravascular ultrasound evaluation and stent selection for cerebral venous sinus stenosis associated with idiopathic intracranial hypertension by Gang Luo, Raynald, Xu Tong, Yinuo Huang, Zifei Han, Dapeng Sun, Bo Wang, Baixue Jia, Zhenbo Shi, Feng Gao, Ning Ma, Zhongrong Miao, Dapeng Mo

“…Additionally, repeated digital subtraction angiography (DSA) or Magnetic resonance venography (MRV) / CT venography（CTV） was performed to evaluate the stent patency at 6 months to 1 year post-procedure. …”
Get full text

THE COMPARISON OF DIVERSITY OF GRASS SPECIES AND ITS PHYSIOLOGICAL PERFORMANCE ON SELECTED SLOPE AND FLAT AREAS IN UiTM KUALA PILAH by Nurul Nasriah Mohd Sazli, Lili Syahani Rusli, Nor’aishah Abu Shah

“…The study investigates the morphology and physiological performance of different grass species in direct sunlight on selected slope and flat areas. Additionally, it compares the biodiversity of grass species between these two areas, providing insights into their adaptation and ecological roles. …”
Get full text

Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model by Maryam Izadi, Ali Ashtab, Akbar Zavari Rezaei

“…These models exhibited the best performance and were selected as the optimal models.…”
Get full text

Suppression potential of selected vermicomposts against root-knot nematode (Meloidogyne incognita) under in vitro, pot, and field conditions by Zerihun Getachew Gebrehana, Zerihun Getachew Gebrehana, Mesfin T. Gebremikael, Mesfin T. Gebremikael, Sheleme Beyene, Wim M. L. Wesemael, Wim M. L. Wesemael, Stefaan De Neve

“…This highlights the long-term benefits of vermicompost application for nematode management and soil health. In addition, vermicompost amendments improved soil chemical properties. …”
Get full text

A Dual-Variable Selection Framework for Enhancing Forest Aboveground Biomass Estimation via Multi-Source Remote Sensing by Dapeng Chen, Hongbin Luo, Zhi Liu, Jie Pan, Yong Wu, Er Wang, Chi Lu, Lei Wang, Weibin Wang, Guanglong Ou

“…To this end, this study employed six types of remote sensing data—Landsat 8 OLI, Sentinel-2A, GEDI, ICESat-2, ALOS-2, and SAOCOM. A dual-variable selection strategy based on SHapley Additive exPlanations (SHAP) was developed, and a genetic algorithm (GA) was used to optimize the parameters of five machine learning models—elastic net (EN), least absolute shrinkage and selection operator (Lasso), support vector regression (SVR), Random Forest (RF), and Categorical Boosting (CatBoost)—to estimate the AGB of <i>Pinus kesiya</i> var. …”
Get full text