Evaluating causes and gestures: source-related and crossmodal features in the perception of environmental sounds by Sven-Amin Lembke

“…Participants evaluated 28 environmental sounds in three variants (original, isolated gesture, hybrid) and had to identify the sound gesture among four visualized options while also inferring the underlying environmental source or cause through verbal description and rating their confidence in identifying the source/cause. …”
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Spatiotemporal Expression and Molecular Characterization of miR-344b and miR-344c in the Developing Mouse Brain by Jia-Wen Leong, Syahril Abdullah, King-Hwa Ling, Pike-See Cheah

“…The expression of two novel miRNAs, namely, miR-344b and miR-344c, was characterized during mouse brain developmental stages in this study. In situ hybridization analysis showed that miR-344b and miR-344c were expressed in the germinal layer during embryonic brain developmental stages. …”
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Cloud/VPN-Based Remote Control of a Modular Production System Assisted by a Mobile Cyber–Physical Robotic System—Digital Twin Approach by Georgian Simion, Adrian Filipescu, Dan Ionescu, Adriana Filipescu

“…The overall system follows a DT approach that enables task planning through augmented reality (AR) and uses virtual reality (VR) for visualization through Synchronized Hybrid Petri Net (SHPN) simulation. Timed Petri Nets (TPNs) are used to control the processes within the MPS’s workstations. …”
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Evaluation of the carrot gene pool for yield and quality indicators at Volgograd Experiment Station of VIR by V. E. Pryanishnikova, T. V. Khmelinskaya

“…The content of chemical compounds in roots was highly variable, depending on the cultivar (hybrid) and, in particular, on the growing conditions. …”
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Polymorphism of RAPD and ISSR markers in grain amaranth species by S. V. Lymanska, L. A. Miroshnichenko, T. I. Goptsiy, O. S. Korneeva

“…A high level of alterability and the formation of a huge number of spontaneous hybrids in natural populations of amaranth significantly complicate the identification of individual genotypes and entire taxonomic units of Amaranthus L. …”
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Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach by Midhun P. Mathew, Sudheep Elayidom, V. P. Jagathy Raj, K. M. Abubeker

“…To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG19) architecture features with the transformer encoder blocks. …”
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The use of wheatgrass (<i>Thinopyrum intermedium</i>) in breeding by I. V. Pototskaya, V. P. Shamanin, A. N. Aydarov, A. I. Morgounov

“…Wheatgrass (Th. intermedium) has been traditionally used in wheat breeding for obtaining wheat-wheatgrass hybrids and varieties with introgressions of new genes for economically valuable traits. …”
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From Integer Programming to Machine Learning: A Technical Review on Solving University Timetabling Problems by Xin Gu, Muralee Krish, Shaleeza Sohail, Sweta Thakur, Fariza Sabrina, Zongwen Fan

“…We explored the uses of machine learning algorithms and the hybrid solutions of combining the integer programming and machine learning algorithms in higher education timetabling solutions. …”
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<i>Macrostomum lignano</i> as a model to study the genetics and genomics of parasitic flatworms by K. V. Ustyantsev, V. Yu. Vavilova, A. G. Blinov, E. V. Berezikov

“…M. lignano has a number of convenient biological and experimental properties, such as fast reproduction, easy and non-expensive laboratory culturing, optical body transparency, obligatory sexual reproduction, annotated genome and transcriptome assemblies, and the availability of modern molecular methods, including transgenesis, gene knockdown by RNA interference, and in situ hybridization. All this makes M. lignano amenable to the most modern approaches of forward and reverse genetics, such as transposon insertional mutagenesis and methods of targeted genome editing by the CRISPR/Cas9 system. …”
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Resistance of synthetic hexaploid wheat to the leaf rust pathogen by A. G. Khakimova, E. I. Gultyaeva, O. P. Mitrofanova

“…One of the promising sources for enrichment of the common wheat (Triticum aestivum L.) gene pool with new alleles is synthetic hexaploid wheat (SHW), or allopolyploids from crossing tetraploid wheats (2n = 4x = 28, BBAA) with accessions of Aegilops tauschii Coss. (2n = 2x = 14, DD), and subsequent doubling of the chromosome number in the hybrids. Objectives of the study were to evaluate the SHW accessions from the VIR collection for resistance to Puccinia triticina Erikss. populations collected in Russia; genotype the accessions; and summarize information from the published sources concerning the resistance of the studied accessions to other harmful diseases and pests.Materials and methods. …”
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A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

“…The network adopts a CNN-Transformer hybrid architecture for collaborative feature extraction and integrates our proposed Coordinate-Aware Pyramid Feature Aggregation module (CAPP). …”
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Unlocking the potential of micro-hydropower in water distribution networks: a comprehensive systematic review for Malaysia’s sustainable energy future by Muhammad Fazrulilahi Abdul Rahman, Norashikin Ahmad Kamal, Jazuri Abdullah, Emanuele Quaranta, Sangmin Shin

“…Malaysia can lead Southeast Asia's sustainable energy initiatives by advancing micro-hydropower, hybrid energy systems, and community engagement. The evaluation aims to guide future research and policy initiatives to expedite the country's energy transformation through the integration of micro-hydropower in water distribution networks.…”
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Enhanced optical properties of chitosan polymer doped with orange peel dye investigated via UV–Vis and FTIR analysis by Dyari M. Mamand, Dana S. Muhammad, Shujahadeen B. Aziz, Peshawa O. Hama, Bandar A. Al-Asbahi, Abdullah A. A. Ahmed, Jamal Hassan

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Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization by Yong Wang, Yingying Yuan, Kevin Assogba, Ke Gong, Haizhong Wang, Maozeng Xu, Yinhai Wang

“…Thus, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm are hybridized to propose GA-PSO heuristics. GA-PSO is employed to provide good solutions to customer clustering units’ reallocation problem. …”
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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…Although Orca Predation Algorithm demonstrates greater performance, it necessitates extended computing time, which future research could mitigate by exploring parallelization or hybrid methodologies. This paper shows that Orca Predation Algorithm is a reliable tool for optimizing Economic Dispatch problems. …”
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QTL‐Based Evidence of Population Genetic Divergence in Male Territorial Aggressiveness of the Japanese Freshwater Threespine Stickleback by Haruka Yamazaki, Seiichi Mori, Osamu Kishida, Atsushi J. Nagano, Tomoyuki Kokita

“…Finally, we performed quantitative trait loci (QTL) analysis using an F2 hybrid cross between the two populations to identify the causal genomic regions contributing to the divergence in male territorial aggressiveness. …”
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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

“…Subsequently, the dataset was partitioned for individual plant disease detection, applying nine different CNN models (custom CNN, VGG16, VGG19, InceptionV3, MobileNet, DenseNet121, Xception, and two hybrid models) to each plant type. The highest accuracy rates for disease detection were: 100 ​% for potato (custom CNN), 98 ​% for tomato (InceptionV3, custom CNN, VGG16), 100 ​% for pepper bell (MobileNet, custom CNN), 100 ​% for apple (MobileNet, Xception), 98 ​% for corn (custom CNN), 99 ​% for grape (custom CNN, VGG19, DenseNet121), 100 ​% for peach (VGG16, custom CNN), and 98 ​% for rice (DenseNet121). …”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…In this research, an approach based on an improved fuzzy factor fuzzy local information C means (IFF-FLICM) segmentation and hybrid modified harmony search and sine cosine algorithm (MHS-SCA) optimized extreme learning machine (ELM) is proposed for brain tumor detection and classification. …”
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Optimal Dimensional Synthesis of Ackermann Steering Mechanisms for Three-Axle, Six-Wheeled Vehicles by Yaw-Hong Kang, Da-Chen Pang, Yi-Ching Zeng

“…The employed optimization methods include Particle Swarm Optimization (PSO), Hybrid Particle Swarm Optimization (HPSO), Differential Evolution with golden ratio (DE-gr), and Linearly Ensemble of Parameters and Mutation Strategies in Differential Evolution (L-EPSDE). …”
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A Comprehensive Review on Bio-Based Polybenzoxazines Emphasizing Their Antimicrobial Property by Shakila Parveen Asrafali, Thirukumaran Periyasamy, Jaewoong Lee

“…Notable bio-based benzoxazines include derivatives synthesized from renewable resources like curcumin, vanillin, and eugenol, which exhibit substantial antimicrobial activity and environmental friendliness. Hybrid PBzs, combining natural polymers like chitosan or cellulose, have shown improved antimicrobial properties and mechanical performance. …”
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