Utilizing artificial intelligence to solving time – cost – quality trade-off problem by Pham Vu Hong Son, Luu Ngoc Quynh Khoi

“…Abstract This study presents the Slime Mold Algorithm (SMA) to solve the time—cost—quality trade-off problem in a construction project. …”
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Visualization of c-di-GMP in multicellular Dictyostelium stages by Hayato Ide, Yukihisa Hayashida, Yusuke V. Morimoto, Yusuke V. Morimoto

“…The bacterial signaling molecule cyclic diguanosine monophosphate (c-di-GMP) is only synthesized and utilized by the cellular slime mold Dictyostelium discoideum among eukaryotes. …”
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Cells at the center of dictyostelium aggregates become spores. by Huang, H, Takagawa, D, Weeks, G, Pears, C

“…The cellular slime mold <em>Dictyostelium discoideum</em> undergoes a developmental life cycle on starvation to generate a fruiting body consisting of a mass of spores supported on a stalk of dead, vacuolated cells. …”

ATP levels influence cell movement during the mound phase in Dictyostelium discoideum as revealed by ATP visualization and simulation by Haruka Hiraoka, Jiewen Wang, Tadashi Nakano, Yasuhiro Hirano, Shinichi Yamazaki, Yasushi Hiraoka, Tokuko Haraguchi

“…Cell migration plays an important role in multicellular organism development. The cellular slime mold Dictyostelium discoideum is a useful model organism for the study of cell migration during development. …”
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A new interpretation of the Keller-Segel model based on multiphase modelling. by Byrne, H, Owen, MR

“…After specialising our model to describe slime mold we then show how the functional form of the chemical potential that drives cell locomotion influences the ability of the system to generate spatial patterns. …”

Derivatives of Differentiation-Inducing Factor 1 Differentially Control Chemotaxis and Stalk Cell Differentiation in <i>Dictyostelium discoideum</i> by Hidekazu Kuwayama, Haruhisa Kikuchi, Yuzuru Kubohara

“…Differentiation-inducing factors 1 and 2 (DIF-1 and DIF-2) are small lipophilic signal molecules that induce stalk cell differentiation but differentially modulate chemotaxis toward cAMP in the cellular slime mold <i>Dictyostelium discoideum</i>; DIF-1 suppresses chemotactic cell movement in shallow cAMP gradients, whereas DIF-2 promotes it. …”
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Multiple inter-kingdom horizontal gene transfers in the evolution of the phosphoenolpyruvate carboxylase gene family. by Yingmei Peng, Jing Cai, Wen Wang, Bing Su

“…Our result showed that both PTPC and BTPC are derived from an ancestral lineage of gamma-proteobacteriapepcases, possibly via an ancient inter-kingdom horizontal gene transfer (HGT) from bacteria to the eukaryotic common ancestor of plants, protists and cellular slime mold. Our phylogenetic analysis also found 48other pepcase genes originated from inter-kingdom HGTs. …”
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Flow-driven instabilities during pattern formation of Dictyostelium discoideum by A Gholami, O Steinbock, V Zykov, E Bodenschatz

“…The slime mold Dictyostelium discoideum is a well known model system for the study of biological pattern formation. …”
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Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm by Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ripon K. Chakrabortty

“…In the second experiment, LSO is used for solving four CEC competitions in single objective optimization benchmarks (CEC2014, CEC2017, CEC2020, and CEC2022), and its results are compared with eleven well-established and recently-published optimizers, named grey wolf optimizer (GWO), whale optimization algorithm (WOA), and salp swarm algorithm (SSA), evolutionary algorithms like differential evolution (DE), and recently-published optimizers including gradient-based optimizer (GBO), artificial gorilla troops optimizer (GTO), Runge–Kutta method (RUN) beyond the metaphor, African vultures optimization algorithm (AVOA), equilibrium optimizer (EO), grey wolf optimizer (GWO), Reptile Search Algorithm (RSA), and slime mold algorithm (SMA). In addition, several engineering design problems are solved, and the results are compared with many algorithms from the literature. …”
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Adaptive biological networks by Fricker, M, Boddy, L, Nakagaki, T, Bebber, D

“…Mycelial fungi and acellular slime molds grow as self-organized networks that explore new territory to search for resources, whilst maintaining an effective internal transport system in the face of continuous attack or random damage. …”

A Novel -Inspired Routing Protocol for Wireless Sensor Networks by Mingchuan Zhang, Changqiao Xu, Jianfeng Guan, Ruijuan Zheng, Qingtao Wu, Hongke Zhang

“…Inspired by the large and single-celled amoeboid organism, slime mold Physarum polycephalum , this paper presents a novel Physarum -inspired routing protocol (P-iRP) for WSNs to address the above issue. …”
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Optimal ElGamal Encryption with Hybrid Deep-Learning-Based Classification on Secure Internet of Things Environment by Chinnappa Annamalai, Chellavelu Vijayakumaran, Vijayakumar Ponnusamy, Hyunsung Kim

“…This study designs a slime mold optimization with ElGamal Encryption with a Hybrid Deep-Learning-Based Classification (SMOEGE-HDL) model in an IoT environment. …”
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BU-DLNet: Breast Ultrasonography-Based Cancer Detection Using Deep-Learning Network Selection and Feature Optimization by Amad Zafar, Jawad Tanveer, Muhammad Umair Ali, Seung Won Lee

“…Ten wrapper-based optimization algorithms, including the marine predator algorithm, generalized normal distribution optimization, slime mold algorithm, equilibrium optimizer (EO), manta-ray foraging optimization, atom search optimization, Harris hawks optimization, Henry gas solubility optimization, path finder algorithm, and poor and rich optimization, were employed to compute the optimal subset of deep features using a support vector machine classifier. …”
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Discovery of the first unconventional myosin: Acanthamoeba myosin-I by Thomas D. Pollard, Thomas D. Pollard, Edward D. Korn

“…Having characterized actin from Acanthamoeba castellanii (Weihing and Korn, Biochemistry, 1971, 10, 590–600) and knowing that myosin had been isolated from the slime mold Physarum (Hatano and Tazawa, Biochim. Biophys. …”
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Research on SPAD Estimation Model for Spring Wheat Booting Stage Based on Hyperspectral Analysis by Hongwei Cui, Haolei Zhang, Hao Ma, Jiangtao Ji

“…Then, the least-squares support vector machine (LSSSVM) and the least-squares support vector machine (SMA-LSSSVM) optimized on the slime mold algorithm were applied to construct the estimation models of SPAD, and the model accuracy was assessed to screen the optimal estimation models. …”
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Modeling and Optimization of Triple Diode Model of Dye-Sensitized Solar Panel Using Heterogeneous Marine Predators Algorithm by Alaa A. Zaky, Hesham Alhumade, Dalia Yousri, Ahmed Fathy, Hegazy Rezk, Lida Givalou, Polycarpos Falaras

“…To prove the superiority of the H-MPA, the obtained results are compared with the slime mold algorithm (SMA), Transient search optimizer (TSO), Manta-Ray Foraging Optimization algorithm (MRFO), Forensic-Based Investigation (FBI), Equilibrium optimizer (EO), and Artificial ecosystem-based optimizer. …”
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Fractional order controller design via gazelle optimizer for efficient speed regulation of micromotors by Davut Izci, Serdar Ekinci

“…Outperformance is observed when compared to alternative algorithms employing different controllers, such as an advanced hybrid stochastic fractal search-based FOPID controller, a grey wolf optimizer-based FOPID controller, a slime mold algorithm-based PID controller, an enhanced arithmetic Harris hawks optimization-based PID controller, and a hybrid atom search optimization and simulated annealing-based PID controller. …”
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Self-Organized Aggregation Behavior Based on Virtual Expectation of Individuals with Wave-Based Communication by Phan Gia Luan, Nguyen Truong Thinh

“…However, due to the limitations of local communication and mobility, robots are restricted in their ability to perceive global information, particularly regarding cluster size. Inspired by the slime mold aggregation process, a wave-based communication mechanism is implemented to help robots estimate a cluster size. …”
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Biochemical and biophysical analyses of hypoxia sensing prolyl hydroxylases from Dictyostelium discoideum and Toxoplasma gondii by Liu, T, Abboud, MI, Chowdhury, R, Tumber, A, Hardy, AP, Lippl, K, Lohans, CT, Pires, E, Wickens, J, McDonough, MA, West, CM, Schofield, CJ

“…To gain insight into the factors underlying different PHD substrates and properties, we carried out biochemical and biophysical studies on PHD homologues from the cellular slime mold, Dictyostelium discoideum, and the protozoan parasite, Toxoplasma gondii, both lacking HIF. …”

Studies towards the synthesis of 4-hydroxybenzyl 3-acyltetramic acid / Norhanim Mohalid by Mohalid, Norhanim

“…In this project, a derivative of fuligorubin, namely 4- hydroxybenzylated 3-acyl tetramic acid from slime mold Leocarpus fragilis was chosen as the synthetic target not only due to its biological properties, but mainly due to the challenging structure of the hydroxybenzylated tetramic acid moiety. …”
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