Genome-wide identification of NHX gene family and effects of salicylic acid in regulating antioxidant activity as well as nutrients deposition under salt stress in three Brassica s... by Rana Muhammad Amir Gulzar, Raheel Munir, Zhang Ren Yi, Nazia Jan, Abdul Rauf, Zohaib Kaleem, Muhammad Haseeb Javaid, Mumtaz Ali Saand, Ali El-Keblawy, Mohamed S. Sheteiwy, Zaid Ulhassan

“…Results In this study, we identified the NHX gene family members of three Brassicaceae species including Brassica napus, Brassica rapa and Brassica oleracea and analyzed the expression patterns of NHX genes in response to salt stress and phytohormonal application (SA). Comprehensive computational analyses, encompassing domain and motif prediction, cellular localization, cis-regulatory elements (CREs), and post-translational modification (PTM) sites revealed distinct group-specific characteristics within the NHX gene family. …”
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CPFD Simulation of Operation Characteristics of a 10t/d Sludge and Biomass Co-incineration Fluidized Bed Reactor by REN Shaohui, YU Qiao, LIN Li, XIANG Jiatao, MA Lun, ZHANG Shihong

“…Reactor geometry adjustments induced <2% compositional changes, but opposing feed inlets revolutionized mixing dynamics: fuel dispersion uniformity eliminated localized rich zones, intensifying turbulence to boost CO₂ yield by 24% (15.74% vs. 12.66%), enhance CNO→NO conversion (NO↑14%; CNO↓32%), and homogenize temperatures—though a persistent flow dead zone in the upper-right corner induced a 1,217 K hotspot.ConclusionsThis study establishes definitive operational guidelines for sludge-biomass co-incineration FBRs: 1) Maintain primary air >805 Nm³/h to ensure turbulent fluidization while limiting secondary air to ≤30% total flow to balance burnout enhancement against CNO accumulation; 2) Restrict biomass particle size ≤3 cm (equivalent spherical diameter) and prioritize rice husk over wood for high-S/N sludge blends to minimize CNO/H₂S emissions; 3) Employ dolomite bed material (150-275μm) at 500 mm initial height and 800-850℃ for moderate SO₂ control while avoiding particle sizes >225μm that degrade fluidization; 4) Implement opposing feed inlets as a low-cost retrofit to intensify turbulence, elevating NO output by 14% and reducing CNO by 32%—though complementary design modifications (e.g., baffle installation, outlet repositioning) are recommended to eliminate identified thermal hotspots. …”
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The role of product art design based on a fuzzy decision support system in improving user interaction experience. by Yuqiao Liu, Shuai Zhang

“…This methodology aimed to improve the interaction rate of 97.4% with better impacts on product design and modification using likelihood variants. The user experience assessment is performed using the higher-order variants with a better user adaptability rate of 98.9%, maximizing the recommendations.…”
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Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

“…Beyond this proposed framework, the primary novelty in the field of modeling lies in the special modification of the TS fuzzy model transformation method that enables the selection of principal components within the fuzzy rules and facilitates the use of interpretable fuzzy sets, along with a pseudo-inverse-based model adaptation that mitigates the computational load as the number of users grows. …”
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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Further research may also explore adaptive extensions of the algorithm for real-time structural health monitoring. …”
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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…Despite advancements in non-invasive sensing, challenges remain in balancing fault detection accuracy, computational efficiency, and adaptability to real-world conditions. …”
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Exploring protein N-glycosylation in ammonia-oxidizing Nitrososphaerota archaea through glycoproteomic analysis by Satoshi Nakagawa, Hirokazu Yagi, Tomoki Suyama, Shigeru Shimamura, Saeko Yanaka, Maho Yagi-Utsumi, Shingo Kato, Moriya Ohkuma, Koichi Kato, Ken Takai

“…Despite similarities in their proteomes and energy metabolism, these two archaea exhibited significant differences in post-translational modification of proteins, revealing previously unrecognized diversity that may have implications for understanding their adaptive transitions to diverse environments.IMPORTANCEAutotrophic ammonia-oxidizing archaea of the phylum Nitrososphaerota, formerly known as Thaumarchaeota, are notoriously difficult to culture yet play important roles in the global nitrogen and carbon cycles. …”
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Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning by Rui Ponte Costa, Robert C Froemke, P Jesper Sjöström, Mark CW van Rossum

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Discovery and characterization of complete genomes of 38 head-tailed proviruses in four predominant phyla of archaea by Tianqi Xu, Yimin Ni, Hailing Li, Shuang Wu, Shuling Yan, Lanming Chen, Yongxin Yu, Yongjie Wang

“…Archaeal viruses exert a considerable influence on the structure and composition of archaeal communities and their associated ecological environments. …”
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Machine learning assisted CFD optimization of fuel-staging natural gas burners for enhanced combustion efficiency and reduced NOx emissions by Muhammad Mubashir, Dekui Shen, Habib Kraiem, Aymen Flah, Nahar F. Alshammari, Muhammad Mubashar Hanif

“…This study presents a computational and data-driven approach to the design and optimization of a natural gas burner employing a folded flame pattern with fuel staging. …”
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Recent progress in sustainable energy storage using activated carbon from biowaste for high-performance supercapacitors: a review by V.T. Jeielayaganga, R. Keerthiga, M. Venkatesh

“…Activated carbon remains popular due to its high surface area and low cost, but improvements in CNTs and graphene provide enhanced conductivity and structural adaptability, increasing energy and power density. It also examines the creation of carbon composites, which combine the benefits of carbon and other materials to improve supercapacitor qualities. …”
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A New CDM-Based Approach for the Nonlinear Numerical Structural Analysis of Flax Fiber Reinforced Plastic by Rostislav Svidler, Roman Rinberg, Sascha Mueller, Lothar Kroll

“…However, with appropriate modifications, classical laminate theory (CLT) can be adapted for nonlinear analysis. …”
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Research progress and prospect of underground utilization of coal-based solid waste functional materials by Jixiong ZHANG, Nan ZHOU, Hengfeng LIU, Yachen XIE, Zhihui SUN, Shenyang OUYANG

“…The research findings indicate that: through activation modification, fiber reinforcement, and gradation optimization, the mechanical properties and environmental adaptability of construction-type functional materials can be significantly enhanced; the thermal conductivity, specific heat capacity, and heat storage coefficient of heat extraction-type functional materials are 1.75, 2.12, and 1.72 times that of traditional materials, respectively, with the most significant influencing factor being the shaped phase-change materials; water purification-type functional materials effectively remove heavy metal ions from mine water through multiple reactions, including physical adsorption, ion exchange, surface complexation adsorption, and chemical precipitation; after electrical modification, energy storage-type functional materials can regulate their surface electronic structure and chemical properties, thereby improving the electrical conductivity, energy storage density, and cyclic stability of the materials; the internal mineralization and hydration products of negative carbon-type functional materials can strengthen their pore structure and further achieve long-term CO2 sequestration; load-bearing functional materials, as the fundamental materials for controlling the stability of rock layers and goaf areas, are often enhanced in terms of self-stability, mechanical properties, and conveying performance through particle size gradation, composite optimization, and mechanical activation. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

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Negative Selection Algorithm for Unsupervised Anomaly Detection by Michał Bereta

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Efficient super resolution-based detail injection network for multispectral pan-sharpening by Yaxu Wang, Xiaobo Luo, Hongwei Ye

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Two-Dimensional Materials for Biosensing: Emerging Bio-Converged Strategies for Wearable and Implantable Platforms by Ki Ha Min, Koung Hee Kim, Seung Pil Pack

“…This review highlights recent advances in functionalized and composite 2D materials for wearable and implantable biosensing applications. …”
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Considerations regarding some factors that influence the soil microbiome diversity in agroecosystems by Laurenția ARTIOMOV, Nina FRUNZE

“… At the system level, the microbiome plays an integral role in almost all soil processes, so that abundance, composition and microbial activity largely determine the sustainable productivity of agricultural land. …”
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An open source FEM code for solving coupled thermo-poroelastoplastic processes by Matthew L. McLean, D. Nicolas Espinoza

“…The code is freely available to the general community for use and modification. …”
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