Approach For Protection Research Articles

Improving the scour-resistance performance of for offshore wind turbines: Experimental and computational fluid dynamics studies on macro and micro characteristics

To enhance the resistance to local scour around offshore wind turbine monopiles, 15 mixtures were designed based on Response Surface Methodology (RSM). Cement content, sodium silicate content, and rubber powder content were selected as independent variables. After determining their flowability, the compressive strength and shear strength were measured after curing in pure water and artificial seawater for 3 days, 7 days, 14 days, and 28 days. Experimental results indicate significant improvement in the mechanical properties of the modified soil, including increased Unconfined Compressive Strength (UCS), internal friction angle, and cohesion. The optimal mix ratio is identified as CSR40–10–15, consisting of 40 % cement, 10 % sodium silicate, and 15 % rubber powder. The strength variation mechanism is elucidated from both macroscopic and microscopic perspectives. Finally, numerical simulations using Computational Fluid Dynamics (CFD) software validate the scour resistance performance based on the optimal mix ratio of flowable solidified soil, offering a new approach for local scour protection around offshore wind turbine monopile.

Screening a neurotransmitter-receptor-related inhibitor library identifies clomipramine HCl as a potential antiviral compound against Japanese encephalitis virus

BackgroundJapanese encephalitis virus (JEV) is a leading cause of viral encephalitis worldwide. JEV exhibits significant neuroinvasiveness and neurotoxicity, resulting in considerable damage to the nervous system. Japanese encephalitis is associated with high morbidity and mortality rate, seriously harming both human health and livestock production. The current lack of specific antiviral drugs means that the development of new therapeutic agents for JEV has become urgent. MethodsAnti-JEV drugs were screened from 111 inhibitors of neurotransmitter receptor-related molecules by high content technology. The antiviral effects of clomipramine HCl were evaluated through plaque assay, real-time quantitative PCR, immunofluorescence assay and western blotting assay. Bioinformatic tools were utilized to cluster the altered signaling pathway members after clomipramine HCl treatment. Finally, the anti-JEV mechanism was deeply resolved in vivo via such molecular biology and virological detection techniques. ResultsIn this study, we screened nine compounds with significant anti-JEV activity, of which clomipramine HCl demonstrated the most potent antiviral effect and exhibited dose-dependent activity. Mechanistically, clomipramine HCl may activate endoplasmic reticulum stress and modulate the unfolded protein response, thus inhibiting the assembly stage of JEV infection. ConclusionThis study highlights the importance of clomipramine HCl as a promising approach for JEV infection protection, which may lead to new host-directed antiviral approaches to such mosquito-borne viruses.

Local perturbation of critical subgraph based social network structural privacy protection

In social networks, the direct exposure of structural data containing numerous authentic relationships significantly risks user privacy leakage. Thus, safeguarding the privacy of such data has emerged as a pressing concern. Existing methodologies commonly employ global perturbation, randomly altering the network structure and resulting in diminished data availability upon publication. Notably, these methods often overlook the privacy implications associated with critical nodes and diverse structural features within subgraphs, thereby exacerbating the risk of privacy breaches. In response to these challenges, we present a novel privacy protection approach, termed CGLP, tailored for social network structures and centered on the concept of local perturbation of critical subgraphs. Specifically, CGLP meticulously identifies critical nodes, factoring in local structural complexity and positional features, and subsequently identifies subcritical nodes exhibiting structural similarity through graph embedding and clustering. The method further constructs critical node subgraph and core critical node subgraphs. Crucially, diverse local perturbation methods are strategically designed for subgraphs with varying structural features, mitigating the potential issues of under-protection and over-protection. Evaluation results on real datasets demonstrate that CGLP effectively balances the availability and privacy of the published network structure, concurrently addressing the privacy concerns associated with critical nodes.

Mangiferin alleviates cisplatin-induced ototoxicity in sensorineural hearing loss

Mangiferin(MGF) exhibits crucial biological roles, including antioxidant and anti-inflammatory functions. However, how to clearly elucidate the functioning mechanism of MGF for inhibiting cisplatin-induced hearing loss requires in-depth investigation. In this work, we aimed at gaining insight into how MGF functions as the protective agent against cisplatin-triggered ototoxicity using various assays. The variation for reactive oxygen species (ROS) concentrations was determined with MitoSOX-Red and 2′,7′-Dichlorodihydrofluorescein diacetate staining (DCFH-DA). The protective function and corresponding mechanism of MGF in hair cell survival in the House Ear Institute-Organ of Corti (HEI-OC1) cell line were assessed using RNA sequencing (RNA-Seq). Our findings demonstrated that MGF significantly alleviated cisplatin-induced injury to hair cells in vitro, encompassing cell lines and cochlear explants, as well as in vivo models, including C57BL/6 J mice and zebrafish larvae. Mechanistic studies revealed that MGF reversed the increased accumulation of ROS and inhibited cell apoptosis through mitochondrial-mediated intrinsic pathway. Moreover, real-time quantitative polymerase chain reaction (RT-qPCR) and western blotting data indicated MGF protected against cisplatin-mediated ototoxicity via the mitogen-activated protein kinase pathway (MAPK). These findings demonstrated MGF has significant potential promise in combating cisplatin-induced ototoxicity, offering a foundation for expanded investigation into therapeutic approaches for auditory protection.

Reliability-Aware Resource Allocation for SFC: A Column Generation-Based Link Protection Approach

Reliability-Aware Resource Allocation for SFC: A Column Generation-Based Link Protection Approach

Rational design and computational evaluation of a multi-epitope vaccine for monkeypox virus: Insights into binding stability and immunological memory

Multi-epitope vaccines strategically tackle rapidly mutating viruses by targeting diverse epitopes from different proteins, providing a comprehensive and adaptable immune protection approach for enhanced coverage against various viral variants. This research employs a comprehensive approach that includes the mapping of immune cells activating epitopes derived from the six structural glycoproteins (A29L, A30L, A35R, L1R, M1R, and E8L) of Monkeypox virus (Mpox). A total of 7 T-cells-specific epitopes, 13 B-cells-specific epitopes, and 5 IFN-γ activating epitopes were forecasted within these glycoproteins. The selection process focused on epitopes indicating high immunogenicity and favorable binding affinity with multiple MHC alleles. Following this, a vaccine has been formulated by incorporating the chosen epitopes, alongside adjuvants (PADRE peptide) and various linkers (EAAAK, GPGPG, and AAY). The physicochemical properties and 3D structure of the multi-epitope hybrid vaccine were analysed for characterization. MD simulations were employed to predict the binding stability between the vaccine and various pathogen recognition receptors such as TLRs (TLR1, TLR2, TLR4, and TLR6), as well as both class I and II MHC, achieved through hydrogen bonding and hydrophobic interactions. Through in silico cloning and immune simulation, it was observed that the multi-epitopes vaccine induced a robust memory immune response upon booster doses, forecasting protective immunity upon viral challenge. This protective immunity was characterized by the production of IgM + IgG antibodies, along with release of inflammatory cytokines like IFN-γ, and IL12, and the activation of various immune cells. This study offers valuable insights into the potential of a multi-epitope vaccine targeting the Mpox virus.

Synergistic effect in ZIF-67/MoS2 entrenched MWCNT photo (electro) catalyst for degradation of tetracycline and alternative to Pt counter electrode in dye-sensitized solar cells

Photocatalytic water purification is an effective environmental protection approach for removing hazardous chemicals in water, besides solar energy conversion is a trustworthy and sustainable choice for the future due to rising energy demands. The present research focus is on synthesis of Metal-Organic Framework (MOF) based composite, Zeolitic Imidazolate Framework-67/Molybdenum Disulfide (ZIF-67/MoS2) entrenched Multi-Walled Carbon Nanotubes (MWCNT) as a catalyst for photodegradation of tetracycline (TC), as well as substitute for Pt counter electrode in Dye-Sensitized Solar Cell (DSSC). The crystalline structure, optical response, shape, porosity, quantum states, and chemical configuration were determined using X-ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Ultraviolet-Visible Diffuse Reflectance Spectroscopy (UV-DRS), Photoluminescence spectroscopy (PL), Transmission Electron Microscopy (TEM), Brunauer-Emmett-Teller (BET), and X-ray Photoelectron Spectroscopy (XPS), respectively. The degradation efficiency of ZIF-67/MoS2/MWCNT catalyst under effect of operational parameters namely, photocatalyst dosage, solution pH, coexisting ions, TC concentrations and irradiation time were studied consecutively. ZIF-67/MoS2/MWCNT composite achieved 96.1 % degradation efficiency of TC under white light irradiation. Interestingly, when utilized as a counter electrode in DSSCs, this composite-based electrode delivered the highest Power Conversion Efficiency (PCE) of 3.86 % with a short-circuit current density (JSC) of 7.54 mA cm−2 and open-circuit voltage (VOC) of 0.79 V. The observed enhancement is attributed to lesser peak-to-peak separation (EPP), lower electron lifetime, lower charge transfer resistance (RCT) and higher exchange current density (J0). Based on these findings, ZIF-67 inclusion in MoS2/MWCNT composite is not only an effective catalyst for water treatment but also a good catalyst for I3− reduction in DSSCs.

Gender Equality in Vietnam Labour Law: A Critique Toward Sustainable Development

Labor law is traditionally viewed as a crucial mechanism for advancing gender equality in the workplace by providing a framework to eliminate sex-based discrimination and enhance women’s participation in the workforce. As nations strive to achieve the UN’s Sustainable Development Goals (SDGs), the significance of such laws is amplified, with gender equality not only a key indicator but also an enabler for other SDGs. This study demonstrates that, despite recent reforms in Vietnam's labour law reducing barriers to female employment, pervasive gender inequality persists, fuelled by enduring employment stereotypes that often depict women as victims. To develop a sustainable workforce, Vietnam's labor laws and policies should implement strategies to dismantle these stereotypes. This research suggests transitioning from the traditional approach of female protection to involving men in domestic roles. A strategy targeting men is expected to promote gender equality in the Vietnamese workforce by altering employer perceptions of female employees' maternal roles. From the perspective of masculinity theory, the potential of paternity bonuses is significant; they can enhance women’s career opportunities by alleviating domestic burdens and broadening acceptable roles for men.

Development of an RNA Nanostructure for Effective Botrytis cinerea Control through Spray-Induced Gene Silencing without an Extra Nanocarrier.

Spray-induced gene silencing represents an eco-friendly approach for crop protection through the use of double-stranded RNA (dsRNA) to activate the RNA interference (RNAi) pathway, thereby silencing crucial genes in pathogens. The major challenges associated with dsRNA are its limited stability and poor cellular uptake, necessitating repeated applications for effective crop protection. In this study, RNA nanoparticles (NPs) were proposed as effectors in plants and pathogens by inducing the RNAi pathway and silencing gene expression. RNA structural motifs, such as hairpin-loop, kissing-loop, and tetra-U motifs, were used to link multiple siRNAs into a long, single-stranded RNA (lssRNA). The lssRNA, synthesized in Escherichia coli, self-assembled into stable RNA nanostructures via local base pairing. Comparative analyses between dsRNA and RNA NPs revealed that the latter displayed superior efficacy in inhibiting spore germination and mycelial growth of Botrytis cinerea. Moreover, RNA NPs had a more robust protective effect on plants against B. cinerea than did dsRNA. In addition, RNA squares are processed into expected siRNA in plants, thereby inhibiting the expression of the target gene. These findings suggest the potential of RNA NPs for use in plant disease control by providing a more efficient and specific alternative to dsRNA without requiring nanocarriers.

Synthesis of Chitosan Derivatives with Protecting and Deprotecting (With Amino Group Protection) Approach for Versatile Class of Antimicrobial Agents and Adsorbents

Chitosan and modified chitosan have been proved for numerous biological and water treatment applications including as strong antimicrobial agents. In this work the main target of functionalization of chitosan with amine group protection.

SoK: Can Trajectory Generation Combine Privacy and Utility?

While location trajectories represent a valuable data source for analyses and location-based services, they can reveal sensitive information, such as political and religious preferences. Differentially private publication mechanisms have been proposed to allow for analyses under rigorous privacy guarantees. However, the traditional protection schemes suffer from a limiting privacy-utility trade-off and are vulnerable to correlation and reconstruction attacks. Synthetic trajectory data generation and release represent a promising alternative to protection algorithms. While initial proposals achieve remarkable utility, they fail to provide rigorous privacy guarantees. This paper proposes a framework for designing a privacy-preserving trajectory publication approach by defining five design goals, particularly stressing the importance of choosing an appropriate Unit of Privacy. Based on this framework, we briefly discuss the existing trajectory protection approaches, emphasising their shortcomings. This work focuses on the systematisation of the state-of-the-art generative models for trajectories in the context of the proposed framework. We find that no existing solution satisfies all requirements. Thus, we perform an experimental study evaluating the applicability of six sequential generative models to the trajectory domain. Finally, we conclude that a generative trajectory model providing semantic guarantees remains an open research question and propose concrete next steps for future research.

Microgrid protection using FACTS controller and machine learning

This research presents a method of machine learning approach for microgrid protection using FACTS Controllers. A Microgrid connected to the Distributed Generators connected with different types of load is very prone to faults. This work uses wavelet transform to predict the failure signals, which is then fed into a machine learning model for real-time identification. These current signals from both ends of the transmission lines are analyzed using wavelet-based multi-resolution analysis, and then compare the results to preset thresholds to generate fault indices. This approach offers a power quality enhanced microgrid protection solution with lower losses and increased dependability.

Assessment of Innovative Technologies for Hazardous Waste Treatment and Remediation Review: A Sustainable Approach for Environmental Protection

<p>The management of hazardous waste is a critical environmental challenge that requires innovative and sustainable solutions to mitigate adverse impacts on ecosystems and human health. This research project aims to assess and evaluate cutting-edge technologies for the treatment and remediation of hazardous waste, focusing on their sustainability and effectiveness in environmental protection. The study will investigate various innovative methods such as advanced oxidation processes, bioremediation techniques, nanotechnology applications, and green chemistry strategies. These technologies offer promising opportunities to address hazardous waste contamination while minimizing resource consumption and environmental footprints. The research will include a comprehensive review of existing literature, case studies, and technical reports to gather insights into the performance, cost-effectiveness, and environmental benefits of these innovative technologies. Special emphasis will be placed on evaluating their applicability across different types of hazardous waste, ranging from industrial chemicals and pollutants to electronic waste and persistent organic pollutants. Furthermore, the study will analyze regulatory frameworks, policy implications, and socio-economic factors influencing the adoption and implementation of these technologies in diverse industrial sectors and geographical regions. Through rigorous assessment and analysis, this research aims to provide valuable insights and recommendations for stakeholders, policymakers, and environmental practitioners involved in hazardous waste management. The findings will contribute to advancing sustainable approaches for addressing hazardous waste challenges, promoting environmental protection, and fostering a circular economy mindset in waste management practices.</p>

Towards sustainable crop protection in agriculture: A framework for research and policy

CONTEXTEuropean countries have set ambitious targets to reduce the risks of pesticide use. Achieving these targets will require a large proportion of farmers to adopt sustainable crop protection practices. However, how to enable this transition and what are the best policies to support farmers remain open questions. OBJECTIVEHere, we provide a coherent review of existing evidence and new insights into farmer decision-making and policy analysis in the context of the transition to more sustainable crop protection. We synthesise and extend the empirical evidence and the conceptual and methodological foundations to examine farmers' decisions to adopt sustainable crop protection and to assess the potential of different policy measures to support this transition. Our analysis focuses on European agriculture. METHODSWe provide a framework and synthesise evidence by reviewing the literature and combining agronomic and economic perspectives. We focus on three issues: i) indicators for empirical analyses of adoption of sustainable crop protection practices; ii) behavioural perspectives on farmer adoption; iii) insights into methodological approaches for assessing adoption of sustainable crop protection practices and related policies. RESULTS AND CONCLUSIONWe have identified four main findings and implications. First, sustainable crop protection practices consist of combinations and bundles of individual measures that are not currently regularly considered in policy instruments and policy analysis. Second, definitions of adoption should move from simple adoption metrics to impacts, for example on pesticide risk reduction. Third, behavioural factors are highly relevant to farmers' adoption decisions, but are currently under-researched and under-represented in the field of sustainable crop protection practices. Fourth, the tools currently used for policy analysis do not allow these key aspects to be represented. We draw policy conclusions. SIGNIFICANCEOur analyses help guide policy decisions to achieve pesticide use and risk reduction objectives, and have implications for pesticide policy in Europe and beyond. We identify gaps in current conceptual and methodological approaches, promising avenues for future research, and ways to make results more coherent and comparable. Our analysis thus provides new insights and templates to guide future research and policy analysis on the adoption of sustainable crop protection approaches.

Enhancing the Efficiency of Resilient Multipath-Routed Elastic Optical Networks: A Novel Approach for Coexisting Protected and Unprotected Services with Idle Slot Reuse.

In this paper, we investigate a scenario in which protected and unprotected services coexist in an elastic optical network under dynamic traffic. In the investigated scenario, unprotected services can reuse the reserved idle bandwidth to provide protection to the protected services. Under this scenario, we propose a new heuristic algorithm that enables such reuse as well as define and introduce a new assignment problem in elastic optical networks, named a Transmission Spectrum Assignment (T-SA) problem. In this paper, we consider a scenario in which services may be routed using the multipath routing approach. Additionally, protection using bandwidth squeezing is also considered. We assess our proposal through simulations on three different network topologies and compare our proposal against the classical protection approach, in which bandwidth reuse is not allowed. For the simulated range of network loads, the maximum (minimum) blocking probability reduction obtained by our proposal is approximately 48% (10%) in the European topology, 46% (7%) in the NSFNET topology, and 32% (6%) in the German topology.

Achieving local differential location privacy protection in 3D space via Hilbert encoding and optimized random response

The widespread use of spatial location-based services not only provides considerable convenience, but also exposes the downsides of location privacy leakage. Most of the existing user-side location privacy protection techniques are limited to planar locations. However, the extensive use of aircraft, sensor equipment and acquisition devices with positioning functions promotes the urgency of protecting the privacy of 3D spatial locations. Therefore, this study suggests a local differential privacy protection approach for 3D spatial locations. A 3D spatial decomposition and Hilbert encoding method are designed to reduce the 3D location data into one-dimensional encoding. The optimized random response mechanism was utilized to perturb the dimensional-reduced location encoding, which not only achieves user-side location privacy protection but also improves the accuracy of aggregated data on the server-side. Experiments on the real spatial location datasets show that the suggested method can reduce spatial location service quality loss, maintain the availability of perturbed spatial location and improve the operation efficiency of the spatial location perturbation algorithm.

PalmSecMatch: A data-centric template protection method for palmprint recognition

While existing palmprint recognition researches aim to improve accuracy in various situations, they often overlook the security implications. This paper delves into template protection in palmprint recognition. The existing template protection methods usually cannot strike a well balance between security, accuracy and usability, which reduces the applicability of the algorithms. In this work, a data-centric approach for palmprint template protection is proposed, called PalmSecMatch. Our solution extracts the key from plaintext data. It extremely reduces the dependency on third-party or independent key generation algorithms. The backbone of PalmSecMatch consists of key data extraction and encryption, order shuffling of the raw vectors, hashing code generation, shuffling basis and hashing code fading. PalmSecMatch subtly exploits the fact that biometric data are random variables and benefits from its data-centric nature. PalmSecMatch allows the same plaintext features to be encrypted into highly different ciphertexts, which greatly ensures security. At the same time, the application of data fading strategy makes it extremely difficult for an attacker to distinguish the user data from the auxiliary data. The security analysis shows that PalmSecMatch satisfies the requirements of ISO/IEC 24745. Adequate experiments on two public palmprint databases validate the effectiveness of the proposed method.

Radon Exhalation Rate: A Metrological Approach for Radiation Protection.

Radon, a radioactive inert gas that comes from the decay of naturally occurring radioactive species, poses a substantial health risk due to its involvement in lung cancer carcinogenesis. This work proposes a metrological approach for determining radon exhalation rates from diverse building materials. This methodology employs an electrostatic collection chamber for alpha spectrometry of radon isotopic decay products. Experimental evaluations were conducted particularly focusing on volcanic gray tuff from Sant'Agata de' Goti (Campania region, Italy), a material commonly utilized in construction, to assess radon exhalation rates. The study aligns with Legislative Decree 101/2020, a transposition of European Directive 59/2013/Euratom, highlighting the need to identify materials with a high risk of radon exhalation. Moreover, this work supports the goals of the Italian National Radon Action Plan related to the aforementioned decree, aiming to develop methodologies for estimating radon exhalation rates from building materials and improving radioprotection practices.

Ideas in transition? Policymakers’ ideas of the social dimension of the green transition

Climate change and its associated mitigation policies have an impact on people’s livelihoods. Therefore, how best to react to such impacts is currently a prominent topic in academic and policymaking debates. The article contributes to this new and rapidly developing academic discourse by identifying different understandings of the social dimension within current paradigms of the green transition and analysing policymakers’ understandings of this dimension in Germany and the European Union. The integration of the social dimension ultimately depends on underlying understandings of redistribution and the state-society relationship. The market-liberal Green Economy approach is dominant in the discourse; its narrow social dimension is mostly seeking to increase the acceptance of climate policy through earmarking revenues of carbon trading. Green Keynesian arguments, which examine structural policies and allow for more integrated approaches of social protection are fighting to be heard. Ideas from the Degrowth sphere gain only fragmented access to the policy debates, as they are often framed as unrealistic and politically unfeasible. An interest-based understanding of the welfare state would be suited to mediate interests within the transformation process and socially legitimise climate policy, but current Green Economy discourses primarily aim for social policy to fulfil an appeasing role.

China’s privacy protection strategy and its geopolitical implications

How has China’s privacy protection strategy been developed, with its broad scope and stringent requirements for data localization and cross-border data flows? What are the broader geopolitical implications of its divergence from Western models of data privacy? This paper argues that China's privacy protection strategy, characterized by its comprehensive regulatory framework and government access to data, is redefining the contours of global data governance and creating new geopolitical fault lines. Drawing on official documents, laws, regulations, and a case study, this paper highlights the evolution of the regulatory framework in response to emerging challenges posed by technological innovations and the wider geopolitical environment. This paper contributes to the broader discussion regarding the implications of China's privacy protection approach, highlighting potential normative clashes with countries that favor a more open digital economy. China's efforts in developing its own privacy protection strategy have also resulted in the formulation of global standards for data privacy.