Effects of Catastrophic Insect Outbreaks on the Harvesting Solutions of Dahurian Larch Plantations by Qi Jin, Lauri Valsta, Kari Heliövaara, Jing Li, Youqing Luo, Juan Shi

“…The effects of catastrophic pest outbreaks caused by the Siberian moth (Dendrolimus sibiricus) on the economic harvesting plan are compared through both deterministic and stochastic cases. …”
Get full text

A high-quality chromosome-level genome assembly of the mulberry looper, Phthonandria atrilineata by De-Long Guan, Ying-can Qin, Ya-Zhen Chen, Shi-Hao Zhang, Ji-ping Liu, Hui-Yu Yi, Xiao-Dong Li

“…Abstract The mulberry looper (Phthonandria atrilineata), a geometrid moth, plays a pivotal role in the destruction of mulberry trees (Morus spp.). …”
Get full text

Common insect pests in homes and cultural heritage sites by Bouthaina Hasnaoui, Fabien Fohrer, Philippe Parola, Jean-Michel Berenger

“…Beetles, termites, booklice, moths, and cockroaches are just some of the main insect pests that are frequently found in historic buildings and homes. …”
Get full text

Natural history of the hyperdominant tree, Pentaclethra macroloba (Willd.) Kuntze, in the Amazon River estuary by A. R. Dantas, C. C. Vasconcelos, M. C. Guedes, A. C. Lira-Guedes, M. T. F. Piedade

“…The seed predation rate was 5%, mainly caused by Carmenta surinamensis moth larva. The flood gradient established different phenological responses in the species, directing trees to have a better reproductive performance. …”
Get full text

Insect Pests and Diseases in Stored Sorghum (Sorghum bicolor L.) and Maize (Zea mays L.) in West Hararghe, Ethiopia by Gelana Keno Beyene, Amin Mohammed Yones, Ahmed Beyan Heji, Mukaddes Kayim

“…The results revealed that maize and sorghum grains stored in sacks, ground pits, markets, and hanging (maize cob) storage containers were infested with insect species: maize weevil (S. zeamais), Angoumois grain moth (S. cerealella), rice weevil (S. oryzae), Red flour beetle (T. castaneum), confused flour beetle (T. confusum), and Lesser grain borer (R. dominica). …”
Get full text

Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks by GuoChun Wang, Wenyong Gui, Guoxi Liang, Xuehua Zhao, Mingjing Wang, Majdi Mafarja, Hamza Turabieh, Junyi Xin, Huiling Chen, Xinsheng Ma

“…To solve these shortcomings, an elite strategy and spiral motion from moth flame optimization are utilized to enhance the original algorithm’s efficiency, called MEWOA. …”
Get full text

IoT-Based Pest Detection in Agriculture Using Raspberry Pi and YOLOv10m for Precision Farming by Zarboubi Mohamed, Bellout Abdelaaziz, Chabaa Samira, Dliou Azzedine, Zeroual Abdelouhab

“…Results underscore the YOLOv10m model’s impressive 89% confidence level in detecting Codling Moths. The Ubidots platform enhances overall system performance, enabling farmers to monitor pest activity and intervene promptly. …”
Get full text

Genome assembly of the grassland caterpillar Gynaephora qinghaiensis by Youpeng Lai, Shan Xiao, Minggang Qin, Xinhai Ye, Fang Wang, Qi Fang

“…Phylogenomic analysis indicated that G. qinghaiensis and the rusty tussock moth Orgyia antiqua diverged approximately 18.3 million years ago. …”
Get full text

Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…The meta-heuristic algorithms employed for fine-tuning the ANN's weight and bias parameters include the Genetic Algorithm (GA), Multi-Verse Optimizer (MVO), Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Advanced Grey Wolf Optimizer (AGWO), Biogeography-Based Optimization (BBO), and Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO). …”
Get full text

Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops by Marcos Miñarro, Daniel García

“…For that, we carried out acoustic monitoring of bats and sampled pest moth abundance across a wider range of apple orchards covering different landscape contexts and local management conditions. …”
Get full text

Comparative Morphology and Ultrastructure of Antennal Sensilla in <em>Dendrolimus superans</em> (Lepidoptera: Lasiocampidae) and <em>Lymantria dispar</em> (Lepidoptera: Lymantriida... by Qi Wang, Longzheng Wang, Qing Wang, Shanchun Yan

“…Potential functionalities of these sensilla were discussed with reference to moth feeding habits, and their morphology, distribution, and ultrastructures on both species.…”
Get full text

Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…The study compared the performance of five optimization algorithms: Grey Wolf Optimizer (GWO), Artificial Hummingbird Algorithm (AHA), Tunicate Swarm Algorithm (TSA), War Strategy Algorithm (WSA), and Moth flam optimizer (MFO). The results demonstrate the superior performance of the AHA algorithm, which has the lowest RMSE value (0.0582) in the SDM and DDM cases, while WSA has the lowest RMSE value (0.0488) in the TDM instance. …”
Get full text

Agroforestry systems favor bat conservation but only when old and grazed by Manon Edo, Martin H. Entling, Felix Herzog, Kira Noe, João HN Palma, Ayla Seithe, Will Simonson, Jo Smith, Anja Weiler, Verena Rösch

“…In this study, bat activity was recorded with autonomous sound recorders (AudioMoth) in sixty-five agroforestry and reference sites across western Europe. …”
Get full text

APPLE BREEDING PROGRAMS AND METHODS: THEIR DEVELOPMENT AND IMPROVEMENT by E. N. Sedov

“…It is necessary to create cultivars immune and highly resistant to powdery mildew, European red mite, apple moth, and other pests. We need apple cultivars with multiple resistance to pests and diseases.Apple breeding on a polyploidy level at the Institute of Fruit Crop Breeding proved to be quite promising. …”
Get full text

Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…The proposed method has been validated based on a numerical continuous rigid frame bridge and an experimental steel truss bridge. Compared to the moth-flame optimization (MFO) algorithm and traditional regularization methods, for both noise-free and noise polluted data, the iteration curves illustrate that the proposed method can achieve convergence within about 200 iterations, while the MFO algorithm is always trapped into local optima; meanwhile, the traditional regularization method needs more iterations or even cannot meet the preset tolerance. …”
Get full text

Characterization of a Novel Male Pheromone Compound in <i>Leucoptera sinuella</i> (Lepidoptera: Lyonetiidae) and Its Role in Courtship Behavior by Laura Sánchez-Aros, Abel F. O. Queiroz, Jorge Guajardo, Wilson Barros-Parada, Glenn P. Svensson, Jan Bergmann

“…The poplar moth, <i>Leucoptera sinuella</i> (Lepidoptera: Lyonetiidae), is widely distributed across Europe, Asia, and parts of Africa. …”
Get full text

Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…These include the Angle of Attack Optimization (AOA), Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Moth Flame Optimization (MFO), and Multi-Verse Optimizer (MVO). …”
Get full text

Polymorphous Adenocarcinoma: A Rare Case Report with Unique Radiographic Appearance on CBCT by Jagadish Chandra, Junaid Ahmed, K. M. Veena, M. Vijayakumar, Nandita Shenoy, Nanditha Sujir

“…The CBCT scan revealed evidence of moth-eaten appearance of maxilla with destruction of medial and lateral walls and floor of maxillary sinus. …”
Get full text

Two novel entomopathogenic fungal species of Lecanicillium isolated from soil in China by Tongyi Liu, Wei Chen, Yanhong Tang, Fen Liu, Liyan Yao, Qiongbo Hu, Ke Zhang, Qunfang Weng

“…Bioassays conducted on the greater wax moth, Galleria mellonella and crucifer aphid, Lipaphis erysimi showed that both fungal strains exhibit virulence. …”
Get full text

Enhanced prediction of energy dissipation rate in hydrofoil-crested stepped spillways using novel advanced hybrid machine learning models by Ehsan Afaridegan, Nosratollah Amanian

“…This study investigates the prediction of EDR using advanced hybrid Machine Learning (ML) models, including the Tabular Neural Network with Moth Flame Optimization (TabNet-MFO), Long Short-Term Memory with Ant Lion Optimizer (LSTM-ALO), Extreme Learning Machine with Jaya and Firefly Optimization (ELM-JFO), and Support Vector Regression with Improved Whale Optimization (SVR-IWOA). …”
Get full text