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Found 6515 publications
Development and validation of an LNA-based multiplex RT-qPCR assay for differentiating Betaarterivirus europensis (PRRSV-1), Betaarterivirus americense (PRRSV-2), and the highly pathogenic L8 lineage of PRRSV-2
Publication Name: Veterinary Journal
Publication Date: 2026-08-01
Volume: 318
Issue: Unknown
Page Range: Unknown
Description:
Porcine reproductive and respiratory syndrome virus (PRRSV) is a highly variable arterivirus that causes major economic losses in swine production and requires reliable molecular diagnostics for surveillance and eradication programs. We developed and validated a one-step multiplex RT-qPCR assay for the simultaneous detection and differentiation of Betaarterivirus europensis (PRRSV-1), Betaarterivirus americense (PRRSV-2), and the highly pathogenic L8 lineage of PRRSV-2, together with an RNA internal control in a single reaction. Short LNA-modified probes were designed to target conserved yet discriminatory sequence motifs, improving specificity and supporting multiplex detection. Analytical performance was evaluated using spiked swine serum, naturally positive samples, and independent laboratory testing against a commercial comparator. The assay showed excellent linearity across all channels (R2 = 0.99) and low detection limits of 13–26 copies per reaction at 95% detection probability. Robustness testing, including 2 h bench exposure and a 3°C thermocycler shift, produced negligible Cq changes, while a 1,000-fold competitor challenge indicated minimal cross-reactivity. Intra- and inter-assay variability were low, qualitative agreement with the comparator was 100%, and reagents remained stable for 30 weeks and after up to 10 freeze–thaw cycles. This LNA-based multiplex RT-qPCR assay provides a sensitive, specific, and operationally convenient tool for PRRSV surveillance and control programs.
Open Access: Yes
Beyond attention spans: Cognitive lock-in and awe experiences in short-video advertising among informavores
Publication Name: Acta Psychologica
Publication Date: 2026-08-01
Volume: 268
Issue: Unknown
Page Range: Unknown
Description:
Short videos are reshaping the digital landscape and opening a new frontier in digital marketing. By fostering binge-watching tendencies, cognitive lock-in, and stronger influence over consumer attention and choice, short videos create conditions for sustained engagement. Drawing on Media Systems Dependency Theory (MSDT), this study introduces a new zone phase construct and advances an integrative conceptual model that explains how the psychological mechanisms operating among short video users generate immersive experiences. Using a mixed-methods design that combined inductive exploration with deductive testing, we developed and empirically validated the model through statistical analysis. The study clarifies the drivers of habitual short video use and offers creative, actionable insights for practice. Overall, the findings yield clear implications for digital marketing strategy and make a compelling case for the strategic deployment of short videos to enhance commercial viability.
Open Access: Yes
Optimal techno-economic framework for the design and control of off-grid solar-battery EV charging stations in Benban-Egypt
Publication Name: Journal of Energy Storage
Publication Date: 2026-07-30
Volume: 167
Issue: Unknown
Page Range: Unknown
Description:
This study presents a full design and validation method for an independent PV-battery-based Electric Vehicle (EV) charging station in Benban, Aswan. Using HOMER Pro, the system's techno-economic sizing is done. MATLAB/Simulink simulations are used to check its dynamic operation and MPPT performance. A realistic EV profile is considered (600 kWh per day, with a peak demand of 48.9 kW). Simulink uses population-based algorithms like Gazella Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), and Particle Swarm Optimization (PSO) to improve dual PI controllers. The study looks at how well the system works for both the economy and the environment. The best setup has an Levelized Cost of Energy (LCOE) of $0.111/kWh, a Net Present Cost (NPC) of $430,468, and saves about 212 tons of CO₂ per year, with an unmet load of less than 2%. The results of the simulation show that the DC bus voltage is stable, the MPPT tracking is efficient, and the battery can be charged and discharged reliably even when the sun is not shining. In general, the results show that the proposed off-grid EV charging system is both technically sound and economically competitive for areas with high solar potential.
Open Access: Yes
Memory-sampled data controller for exponential synchronization of Markovian jump neural networks with mixed delays and partially unknown transition probabilities
Publication Name: Physica A Statistical Mechanics and Its Applications
Publication Date: 2026-07-15
Volume: 694
Issue: Unknown
Page Range: Unknown
Description:
The current study investigates the exponential synchronization (ES) problem for a class of Markovian jump neural networks (MJNNs), which are susceptible to distributive and additive time-varying delays and are managed by a memory-sampled data controller (MSDC). The transition probabilities in question are thought to be partially unknown. The information of time delay and sampling instants is captured by enhanced Lyapunov-Krasovskii functionals (LKFs). A novel modified integral inequality is utilized, which provides a potent framework for studying dynamical systems, and also made a foundation of this study. Adequate requirements for the ES of proposed system are obtained in the form of linear matrix inequalities (LMIs) by incorporating these integral inequalities. Under these circumstances, the hybrid closed-loop system's mean square input-to-state stability (ISS) is ensured. Lastly, the accuracy of the proposed ISS synchronization mechanism is verified and illustrated with numerical examples.
Open Access: Yes
Zeolite-AMF application enhances wheat productivity, cadmium immobilization, and saline soil health under Cd-contaminated wastewater irrigation
Publication Name: Ecotoxicology and Environmental Safety
Publication Date: 2026-07-15
Volume: 320
Issue: Unknown
Page Range: 120395
Description:
Salinity and heavy metal contamination represent major limitations to sustainable crop production in arid and semi-arid areas, particularly where irrigation relies on low-quality or industrial wastewater. Herein, we evaluated the potential of zeolite and arbuscular mycorrhizal fungi (AMF) to mitigate salinity stress and cadmium (Cd) toxicity in wheat grown under saline soil conditions irrigated with Cd-contaminated wastewater. A split-split plot experiment was conducted with two field capacity (FC) levels (50 and 75%), two AMF treatments (with and without inoculation), and three zeolite application rates (0, 1.2, and 2.4 t ha-1). The integrated application of zeolite and AMF under higher soil moisture significantly improved soil physicochemical properties by reducing pH, electrical conductivity (EC), and exchangeable sodium, while enhancing microbial biomass, enzymatic activities, soil organic matter, and cation exchange capacity. Soil structural quality was noticeably improved, as evidenced by reduced bulk density and augmented porosity and saturated hydraulic conductivity. Notably, zeolite and AMF substantially reduced Cd residues in soil post-harvest and wheat tissues as well, resulting in a pronounced decrease in grain Cd residues. These soil-level improvements were reflected in enhanced plant physiological performance, including improved Na+/K+ homeostasis, water relations, photosynthetic capacity, and redox homeostasis. Consequently, grain yield and yield components were significantly increased under the combined treatment. Collectively, these findings demonstrate that zeolite-AMF integration under optimized soil moisture establishes an effective, eco-friendly strategy for remediation of saline and Cd-contaminated soils while maintaining crop productivity.
Open Access: Yes
Environmental and thermo-economic assessment of industrial heat recovery retrofits with integrated waste heat and multiple utility systems
Publication Name: Journal of Cleaner Production
Publication Date: 2026-07-08
Volume: 571
Issue: Unknown
Page Range: Unknown
Description:
Retrofitting industrial heat recovery systems is a key pathway toward low-carbon and resource-efficient manufacturing. Integrating waste heat recovery (WR) with multiple utility (MU) networks can significantly improve energy efficiency, but also creates strong coupling between process heat recovery, waste heat utilisation, and utility allocation. However, existing approaches often address these elements separately or sequentially, limiting the ability to identify optimal system-level retrofit solutions. This study aims to develop a system-level optimisation framework to resolve trade-offs between waste heat recovery and multiple utility integration in industrial retrofit. The framework allows for (i) modifying existing exchangers, (ii) installing new process-to-process units to enhance heat recovery, (iii) integrating waste heat recovery systems for generating high-pressure steam, low-pressure steam, and hot water, and (iv) incorporating optimal utilisation of multiple utilities. The framework is validated through two large-scale industrial case studies. In Case 1, WR and MU integration reduce utility cost to 9.8E+06 $/y (64.6% below the original design) and GHG emissions from 1.7E+08 to 1.2E+08 kg/y CO2 (30.3% reduction), with hot water generation contributing 82.7% of savings. In Case 2, the same strategy achieves a 45.6% GHG reduction relative to the baseline and lowers operation costs by 28.9%. This work provides a practical, system-level retrofit framework to support sustainable production and low-carbon transition in industrial processes.
Open Access: Yes
Assessing the influence of financial repression on Bangladesh's financial development
Publication Name: Multidisciplinary Science Journal
Publication Date: 2026-07-08
Volume: 8
Issue: 3
Page Range: Unknown
Description:
We investigate how financial repression affects financial development of Bangladesh over the period 1980-2022. Employing VECM, we find that repression policies negatively affect financial development, meaning that controlling the financial sector counteracts financial progress. Following the results, we recommend some policies. To accelerate financial progress, policymakers need to rethink on these restrictive policy instruments. For emerging nations like Bangladesh, this paper offers the first empirical data on the connection between financial repression and financial development.
Open Access: Yes
Shear debonding at concrete repair interfaces: An integrated experimental and numerical study
Publication Name: Case Studies in Construction Materials
Publication Date: 2026-07-01
Volume: 24
Issue: Unknown
Page Range: Unknown
Description:
Durable repair of concrete structures relies critically on the shear bond between new and existing concrete, yet reliable prediction of this bond remains challenging due to highly localized interfacial damage mechanisms. Conventional numerical interaction strategies, such as tie constraints, are unable to capture progressive debonding, often leading to unconservative estimates of load transfer and structural capacity. This study presents a three-dimensional Finite Element approach that explicitly represents the repair interface through thin sacrificial layers governed by Concrete Damaged Plasticity and element deletion. The approach is validated against a dedicated shear push-out experimental campaign in which the cement content of the repair layer was systematically varied from 300 to 550 kg/m³ while all other parameters are held constant. The numerical model accurately reproduces the experimentally observed zipper-type interfacial debonding and captures both the onset and propagation of localized shear damage, with satisfactory quantitative agreement. Building on this validation, continuous calibration curves are derived with high statistical correlation (R2 ≈ 0.95) and low predictive error (NRMSE < 9%), directly relating repair cement content to shear bond strength and interface compressive strength. Specifically, the framework captures the nonlinear increase in shear bond strength from 0.21 to 1.85 MPa. The proposed method provides a physically grounded and design-oriented bridge between mix proportioning and structural simulation, enabling consistent definition of interface parameters without iterative numerical tuning.
Open Access: Yes
Modeling the drivers of climate impact in food systems: an interpretive structural modeling approach based on life cycle assessment
Publication Name: Clean Technologies and Environmental Policy
Publication Date: 2026-07-01
Volume: 28
Issue: 7
Page Range: Unknown
Description:
The agri-food systems have been found to be major contributors to the greenhouse gases emission in the world because of the overlapping interactions in the production, processing, and supply chain processes. Despite being an extremely effective instrument of attracting environmental hotspots, the life cycle assessment (LCA) is often incapable of capturing interdependencies between other important drivers. This study addresses this gap by integrating LCA-based insights with interpretive structural modeling (ISM) and MICMAC analysis to examine the structural relationships among climate impact drivers in food systems. The sample size has been established as 18 drivers based on the comprehensive review of literature and validated by the experts of the domain. A hierarchical model was developed with the help of ISM, and MICMAC analysis was also developed in which the variables were clustered in terms of their power of driving and dependence. The results show that the system is very interdependent and has a clear top-driven structure that has carbon and water footprint capability, resource use efficiency, and technological performance as the major driving forces. The policy support and complexity of the supply chains are the dependent variables, and the land use change and energy consumption are the variables that mediate the system dynamics. The findings also indicate that to effectively reduce climate and provide practical recommendations to the policymakers and industry players, systems-based approach is necessary to focus on high-impaction points of interventions.
Open Access: Yes
