Epithelial wound healing in Clytia hemisphaerica provides insights into extracellular ATP signaling mechanisms and P2XR evolution by Elizabeth E. L. Lee, Isabel O’Malley-Krohn, Eric Edsinger, Stephanie Wu, Jocelyn Malamy

“…Interestingly, simple organisms such as cellular slime mold appear exclusively on one branch, bilaterians are found exclusively on the other, and many non-bilaterian metazoans, including Clytia, have P2XR sequences from both branches. …”
Get full text

Multi Dimension-Based Optimal Allocation of Uncertain Renewable Distributed Generation Outputs with Seasonal Source-Load Power Uncertainties in Electrical Distribution Network Usin... by Nasreddine Belbachir, Mohamed Zellagui, Samir Settoul, Claude Ziad El-Bayeh, Ragab A. El-Sehiemy

“…The convergence characteristics and the results reveal that the marine predator algorithm was effectively the quickest and best technique to attain the best solutions after a small number of iterations compared to the rest of the utilized algorithms, including particle swarm optimization, the whale optimization algorithm, moth flame optimizer algorithms, and the slime mold algorithm. Meanwhile, as an example, the marine predator algorithm minimized the seasonal active losses down to 56.56% and 56.09% for both applied networks of IEEE 33 and 69-bus, respectively. …”
Get full text

Deciphering the cytochrome P450 genes in the microbiome of a chronically polluted soil with history of agricultural activities by Lateef Babatunde Salam, Oluwafemi Sunday Obayori, Mathew Olusoji Ilori, Olukayode Oladipo Amund

“…The eukaryote CYPome was represented by seven fungal CYPs (CYP505A3, CYP505B1, CYP51A, CYP51C, CYP55A1, CYP55A2, and CYP55A3) from Acremonium egyptiacum, Fusarium oxysporum, Aspergillus oryzae, Gibberella moniliformis, Aspergillus flavus, and Fusarium lichenicola, respectively, and CYP524A1 from the slime mold, Dictyostelium discoideum. The fungi CYPs were involved in biosynthesis of secondary metabolites, hydroxylation of fatty acids, and nitrate reduction and denitrification. …”
Get full text

Early tissue patterning recreated by mouse embryonic fibroblasts in a three-dimensional environment by Quintana, Lluis, Fernandez Muinos, Teresa, Genove, Elsa, Del Mar Olmos, Maria, Borros, Salvador, Semino, Carlos E.

“…Cellular self-organization studies have been mainly focused on models such as Volvox, the slime mold Dictyostelium discoideum, and animal (metazoan) embryos. …”
Get full text

A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms by Kaffayatullah Khan, Mudassir Iqbal, Rahul Biswas, Muhammad Nasir Amin, Sajid Ali, Jitendra Gudainiyan, Anas Abdulalim Alabdullah, Abdullah Mohammad Abu Arab

“…Five MOAs, namely the particle swarm optimization, the grey wolf optimizer, the equilibrium optimizer, the Harris hawks optimization and the slime mold algorithm, were used; five hybrid SVMs were constructed. …”
Get full text

<i>Dictyostelium</i> Differentiation-Inducing Factor-1 Promotes Glucose Uptake, at Least in Part, via an AMPK-Dependent Pathway in Mouse 3T3-L1 Cells by Yuzuru Kubohara, Yoshimi Homma, Hiroshi Shibata, Yoshiteru Oshima, Haruhisa Kikuchi

“…Differentiation-inducing factor-1 (DIF-1) is a chlorinated alkylphenone (a polyketide) found in the cellular slime mold <i>Dictyostelium discoideum</i>. DIF-1 and its derivative, DIF-1(3M) promote glucose consumption in vitro in mammalian cells and in vivo in diabetic rats; they are expected to be the leading antiobesity and antidiabetes compounds. …”
Get full text

Modified aquila optimizer for forecasting oil production by Mohammed A. A. Al-qaness, Ahmed A. Ewees, Hong Fan, Ayman Mutahar AlRassas, Mohamed Abd Elaziz

“…Moreover, the AOOBL-ANFIS model is compared to several modified ANFIS models include Particle Swarm Optimization (PSO)-ANFIS, Grey Wolf Optimizer (GWO)-ANFIS, Sine Cosine Algorithm (SCA)-ANFIS, Slime Mold Algorithm (SMA)-ANFIS, and Genetic Algorithm (GA)-ANFIS, respectively. …”
Get full text

Pharmacological Evidence That <i>Dictyostelium</i> Differentiation-Inducing Factor 1 Promotes Glucose Uptake Partly via an Increase in Intracellular cAMP Content in Mouse 3T3-L1 Ce... by Yuzuru Kubohara, Yuko Fukunaga, Haruhisa Kikuchi, Hidekazu Kuwayama

“…Differentiation-inducing factor 1 (DIF-1) isolated from the cellular slime mold <i>Dictyostelium discoideum</i> can inhibit mammalian calmodulin-dependent cAMP/cGMP phosphodiesterase (PDE1) in vitro. …”
Get full text

Task Scheduling Approach in Cloud Computing Environment Using Hybrid Differential Evolution by Mohamed Abdel-Basset, Reda Mohamed, Waleed Abd Elkhalik, Marwa Sharawi, Karam M. Sallam

“…In addition, HDE was compared to a variety of heuristic and metaheuristic algorithms, including the slime mold algorithm (SMA), equilibrium optimizer (EO), sine cosine algorithm (SCA), whale optimization algorithm (WOA), grey wolf optimizer (GWO), classical DE, first come first served (FCFS), round robin (RR) algorithm, and shortest job first (SJF) scheduler. …”
Get full text

The Applications of Metaheuristics for Human Activity Recognition and Fall Detection Using Wearable Sensors: A Comprehensive Analysis by Mohammed A. A. Al-qaness, Ahmed M. Helmi, Abdelghani Dahou, Mohamed Abd Elaziz

“…The applied MH were the Aquila optimizer (AO), arithmetic optimization algorithm (AOA), marine predators algorithm (MPA), artificial bee colony (ABC) algorithm, genetic algorithm (GA), slime mold algorithm (SMA), grey wolf optimizer (GWO), whale optimization algorithm (WOA), and particle swarm optimization algorithm (PSO). …”
Get full text

An Efficient Heap Based Optimizer Algorithm for Feature Selection by Mona A. S. Ali, Fathimathul Rajeena P. P., Diaa Salama Abd Elminaam

“…The new binary methods are compared to eight common optimization methods recently employed in this field, including Ant Lion Optimization (ALO), Archimedes Optimization Algorithm (AOA), Backtracking Search Algorithm (BSA), Crow Search Algorithm (CSA), Levy flight distribution (LFD), Particle Swarm Optimization (PSO), Slime Mold Algorithm (SMA), and Tree Seed Algorithm (TSA) in terms of fitness, accuracy, precision, sensitivity, F-score, the number of selected features, and statistical tests. …”
Get full text

Automated Threat Detection Using Flamingo Search Algorithm With Optimal Deep Learning on Cyber-Physical System Environment by Masoud Alajmi, Hanan Abdullah Mengash, Hamed Alqahtani, Sumayh S. Aljameel, Manar Ahmed Hamza, Ahmed S. Salama

“…In addition, the ATD-FSAODL technique makes use of a modified Elman Spike Neural Network (MESNN) model for threat recognition and classification. Finally, the slime mold algorithm (SMA) is used for the optimal selection of the parameters related to the MESNN approach to ensure that the threat detection rate is improved. …”
Get full text

Techno-Economic Strategy for the Load Dispatch and Power Flow in Power Grids Using Peafowl Optimization Algorithm by Mohammed Hamouda Ali, Ali M. El-Rifaie, Ahmed A. F. Youssef, Vladimir N. Tulsky, Mohamed A. Tolba

“…The use of these cases facilitates a fair and comprehensive evaluation of the superiority and effectiveness of POA in comparison with the coot optimization algorithm (COOT), golden jackal optimization algorithm (GJO), heap-based optimizer (HPO), leader slime mold algorithm (LSMA), reptile search algorithm (RSA), sand cat optimization algorithm (SCSO), and the skills optimization algorithm (SOA). …”
Get full text

Revolutionizing Vehicle Cruise Control: An Elite Opposition-Based Pattern Search Mechanism Augmented INFO Algorithm for Enhanced Controller Design by Serdar Ekinci, Davut Izci, Laith Abualigah, Abdelazim G. Hussien, Cuong-Le Thanh, Samir Khatir

“…The proposed method's exceptional ability is further confirmed by comparisons with the genetic algorithm, ant lion optimizer, atom search optimizer, arithmetic optimization algorithm, slime mold algorithm, Lévy flight distribution algorithm, manta ray foraging optimization, and hunger games search-based proportional–integral–derivative (PID), along with Harris hawks optimization-based PID and fractional order PID controllers. …”
Get full text

Signal processing and decision making in single cells by Mettetal, Jerome Thomas, II

Get full text

Protist Microorganisms (Microbiology) / by Abrams, Kelton, author 648857

“…Protists were traditionally subdivided into several groups based on similarities to the "higher" kingdoms: the one celled animal-like protozoa, the plant-like protophyta (mostly one-celled algae) , and the fungus - like slime molds and water molds . Because these groups often overlap , they have been replaced by phylogenetic - based classifications. …”
Get full text

Self-Upgraded Cat Mouse Optimizer With Machine Learning Driven Lung Cancer Classification on Computed Tomography Imaging by Mahmoud Ragab, Iyad Katib, Sanaa Abdullah Sharaf, Fatmah Yousef Assiri, Diaa Hamed, Abdullah Al-Malaise Al-Ghamdi

“…Besides, densely connected networks (DenseNet-201) model for feature extraction process with slime mold algorithm (SMA) as a hyperparameter optimizer. …”
Get full text

Gigapixel imaging with a novel multi-camera array microscope by Eric E Thomson, Mark Harfouche, Kanghyun Kim, Pavan C Konda, Catherine W Seitz, Colin Cooke, Shiqi Xu, Whitney S Jacobs, Robin Blazing, Yang Chen, Sunanda Sharma, Timothy W Dunn, Jaehee Park, Roarke W Horstmeyer, Eva A Naumann

“…This allows us to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales, including larval zebrafish, fruit flies, nematodes, carpenter ants, and slime mold. Further, the MCAM architecture allows stereoscopic tracking of the z-position of organisms using the overlapping field of view from adjacent cameras. …”
Get full text

Phylogenesis of the Functional 1-Aminocyclopropane-1-Carboxylate Oxidase of Fungi and Plants by Yanan Li, Man Qi, Qi Zhang, Zhixu Xu, Yan Zhang, Yuqian Gao, Yuancheng Qi, Liyou Qiu, Mingdao Wang

“…The putative functional bacterial ACO, functional fungi and slime mold ACOs were clustered in ancestral Type IV. …”
Get full text

Modelling Compression Strength of Waste PET and SCM Blended Cementitious Grout Using Hybrid of LSSVM Models by Kaffayatullah Khan, Jitendra Gudainiyan, Mudassir Iqbal, Arshad Jamal, Muhammad Nasir Amin, Ibrahim Mohammed, Majdi Adel Al-Faiad, Abdullah M. Abu-Arab

“…For this purpose, five hybrid least-square support vector machine (LSSVM) models were constructed using swarm intelligence algorithms, including particle swarm optimization, grey wolf optimizer, salp swarm algorithm, Harris hawks optimization, and slime mold algorithm. To construct and validate the developed hybrid models, a sum of 156 samples were generated in the lab with varying percentages of PET and SCM. …”
Get full text