Level Of Protection Research Articles

Safety, Immunogenicity and Protective Activity of a Modified Trivalent Live Attenuated Influenza Vaccine for Combined Protection Against Seasonal Influenza and COVID-19 in Golden Syrian Hamsters

Background/Objectives: Influenza viruses and SARS-CoV-2 are currently cocirculating with similar seasonality, and both pathogens are characterized by a high mutational rate which results in reduced vaccine effectiveness and thus requires regular updating of vaccine compositions. Vaccine formulations combining seasonal influenza and SARS-CoV-2 strains can be considered promising and cost-effective tools for protection against both infections. Methods: We used a licensed seasonal trivalent live attenuated influenza vaccine (3×LAIV) as a basis for the development of a modified 3×LAIV/CoV-2 vaccine, where H1N1 and H3N2 LAIV strains encoded an immunogenic cassette enriched with conserved T-cell epitopes of SARS-CoV-2, whereas a B/Victoria lineage LAIV strain was unmodified. The trivalent LAIV/CoV-2 composition was compared to the classical 3×LAIV in the golden Syrian hamster model. Animals were intranasally immunized with the mixtures of the vaccine viruses, twice, with a 3-week interval. Immunogenicity was assessed on day 42 of the study, and the protective effect was established by infecting vaccinated hamsters with either influenza H1N1, H3N2 or B viruses or with SARS-CoV-2 strains of the Wuhan, Delta and Omicron lineages. Results: Both the classical 3×LAIV and 3×LAIV/CoV-2 vaccine compositions induced similar levels of serum antibodies specific to all three influenza strains, which resulted in comparable levels of protection against challenge from either influenza strain. Protection against SARS-CoV-2 challenge was more pronounced in the 3×LAIV/CoV-2-immunized hamsters compared to the classical 3×LAIV group. These data were accompanied by the higher magnitude of virus-specific cellular responses detected by ELISPOT in the modified trivalent LAIV group. Conclusions: The modified trivalent live attenuated influenza vaccine encoding the T-cell epitopes of SARS-CoV-2 can be considered a promising tool for combined protection against seasonal influenza and COVID-19.

Anti-SARS-CoV-2 serology based on ancestral RBD antigens does not correlate with the presence of neutralizing antibodies against Omicron variants.

Anti-SARS-CoV-2 serology was developed in 2020 in response to the COVID-19 pandemic to diagnose SARS-CoV-2 infection and monitor an individual's immunity following natural infection or vaccination. Given the relationship between neutralizing antibody titers and protection against severe infection, many studies have evaluated the correlation between serology tests and neutralization assays in the pre-Omicron era. An important potential clinical use of serology, which explores binding antibodies, is estimating an individual's level of protection against new infection, particularly in immunosuppressed individuals and those at risk of severe COVID. However, in the Omicron era, as new viruses evade the immunity induced by previous infections and vaccination, the correlation between binding antibody levels determined by serological assays developed from ancestral antigens and neutralizing antibody titers against new viruses should be re-examined in order to determine whether these assays should be optimized by adapting antigens to the circulating SARS-CoV-2 strains.

Spatio-temporal patterns of fish acoustic communities in Western Mediterranean coralligenous reefs: optimizing monitoring through recording duration

In this study, we explored the fish acoustic community at two coralligenous sites in Sardinia (Tavolara and Santa Teresa, western Mediterranean Sea) during the summer 2023. Our goal was to understand spatial and temporal patterns of fish acoustic activity on different temporal scales to offer insights for optimizing acoustic monitoring of this crucial ecosystem. We identified seventeen distinct sound types, revealing a diverse acoustic community. Tavolara had higher acoustic richness and abundance compared to Santa Teresa, which may be attributed to site-specific factors such as habitat structure, species composition, or levels of protection. Temporal analysis revealed clear diel patterns, with certain sounds associated with nocturnal or diurnal periods, reflecting the daily rhythms of different species. The study also examined how recording duration influenced acoustic richness, finding that longer recordings (15 minutes per hour and 15 minutes per hour at night) provided a more comprehensive detection of acoustic activity. Additionally, the number of recording days required to detect species richness varied depending on the site. While extended recordings improve the likelihood of detecting rare or sporadic sounds, they also present challenges in data management and equipment maintenance. The study underscores the importance of carefully planning sampling strategies to optimize acoustic monitoring and ensure effective and sustainable ecological research in coralligenous ecosystems.

Dual-Frequency Multi-Constellation Global Navigation Satellite System/Inertial Measurements Unit Tight Hybridization for Urban Air Mobility Applications

A global navigation satellite system (GNSS) for remotely piloted aircraft systems (RPASs) positioning is essential, thanks to the worldwide availability and continuity of this technology in the provision of positioning services. This makes the GNSS technology a critical element as malfunctions impacting on the determination of the position, velocity and timing (PVT) solution could determine safety issues. Such an aspect is particularly challenging in urban air mobility (UAM) scenarios, where low satellite visibility, multipath, radio frequency interference and cyber threats can dangerously affect the PVT solution. So, to meet integrity requirements, GNSS receiver measurements are augmented/fused with other aircraft sensors that can supply position and/or velocity information on the aircraft without relying on any other satellite and/or ground infrastructures. In this framework, in this paper, the algorithms of a hybrid navigation unit (HNU) for UAM applications are detailed, implementing a tightly coupled sensor fusion between a dual-frequency multi-constellation GNSS receiver, an inertial measurements unit and the barometric altitude from an air data computer. The implemented navigation algorithm is integrated with autonomous fault detection and exclusion of GPS/Galileo/BeiDou satellites and the estimation of navigation solution integrity/accuracy (i.e., protection level and figures of merit). In-flight tests were performed to validate the HNU functionalities demonstrating its effectiveness in UAM scenarios even in the presence of cyber threats. In detail, the navigation solution, compared with a real-time kinematic GPS receiver used as the reference centimetre-level position sensor, demonstrated good accuracy, with position errors below 15 m horizontally and 10 m vertically under nominal conditions (i.e., urban scenarios characterized by satellite low visibility and multipath). It continued to provide a valid navigation solution even in the presence of off-nominal events, such as spoofing attacks. The cyber threats were correctly detected and excluded by the system through the indication of the valid/not valid satellite measurements. However, the results indicate a need for fine-tuning the EKF to improve the estimation of figures of merit and protection levels associated to the navigation solution during the cyber-attacks. In contrast, solution accuracy and integrity indicators are well estimated in nominal conditions.

Machine Learning-Based Environment-Aware GNSS Integrity Monitoring for Urban Air Mobility

The increasing deployment of unmanned aerial vehicles (UAVs) in urban air mobility (UAM) necessitates robust Global Navigation Satellite System (GNSS) integrity monitoring that can adapt to the complexities of urban environments. The traditional integrity monitoring approaches struggle with the unique challenges posed by urban settings, such as frequent signal blockages, multipath reflections, and Non-Line-of-Sight (NLoS) receptions. This study introduces a novel machine learning-based GNSS integrity monitoring framework that incorporates environment recognition to create environment-specific error models. Using a comprehensive Hardware-in-the-Loop (HIL) simulation setup, extensive data were generated for suburban, urban, and urban canyon environments to train and validate the models. The proposed Natural Gradient Boosting Protection Level (NGB-PL) method, leveraging the uncertainty prediction capabilities of the NGB algorithm, demonstrated superior performance in estimating protection levels compared to the classical methods. The results indicated that environment-specific models significantly enhanced both accuracy and system availability, particularly in challenging urban scenarios. The integration of environment recognition into the integrity monitoring framework allows the dynamic adaptation to varying environmental conditions, thus substantially improving the reliability and safety of UAV operations in urban air mobility applications. This research offers a novel protection level (PL) estimation method and a framework tailored to GNSS integrity monitoring for UAM, which enhances the availability with narrower PL bound gaps without yielding higher integrity risks.

Co-expression gene module analysis in response to attenuated cercaria vaccine reveals a critical role for NK cells in protection against Schistosoma mansoni.

Despite decades of research, an effective schistosomiasis vaccine remains elusive. The radiation-attenuated (RA) cercarial vaccine remains the best model for eliciting high levels of protection. We have recently explored this model in mice to identify potentially protective pathways by examining gene expression patterns in peripheral blood mononuclear cells (PBMC). Herein, we reanalyzed the transcriptomic data from PBMC obtained from vaccinated and infected C57BL/6 mice in three timepoints (Days 7 and 17 after infection or vaccination and Day 7 post-challenge). In addition, we generated new data on PBMC collected 35days after infection. Deconvolution analysis was performed to estimate immune cell composition by CIBERSORTx. Gene co-expression networks and over-representation analysis (ORA) were performed using the CEMiTool package. Protein-protein interaction networks were constructed using STRING, and the hub proteins for each module were identified using Cytoscape. Co-expression network analysis identified a module (M2) associated with the infection process, grouping genes related to a Th2 immune response, and a second module (M6) associated with the vaccination process, displaying pathways related to a Th1 response, CD8 + T cells and NK cells. Within each module, five hub proteins were identified based on protein-protein interaction networks. The M2 infection module revealed Chil3, Il4, Cx3cr1, Emr1 and Ccl2 as hubs, while module M6, associated with vaccination, disclosed Prf1, Klrc1, IFN-γ, Ncr1 and Tbx21 as hub proteins. Our data point to the potentiald role of NK cells that may contribute to the RA vaccine response through the production of IFN-γ orchestrated by the T-bet transcription factor (Tbx21).

The impact of digitalization on the development of e-commerce and its legal regulation

This scientific article is devoted to the analysis of key aspects that arise in connection with the digitalization of the economy and the growth of electronic commerce. The impact of technology on business models, legal regulation of electronic transactions, protection of consumer rights and cyber security issues are investigated. The article emphasizes that digitization opens new opportunities for business, in particular through the implementation of digital platforms, omnichannel strategies and process automation. Digital platforms such as Amazon and Alibaba are becoming important tools for business globalization as they facilitate access to international markets, reduce the need for physical infrastructure, and enable the integration of business processes. The legal regulation of electronic transactions and contracts has been studied. It is noted that the development of e-commerce requires legal certainty, regarding electronic signatures, electronic documents and digital identifiers. There are differences in approaches to these issues in different countries, which creates challenges for cross-border trade. In Ukraine, this issue is regulated by the Law «On electronic identification and electronic trust services», which meets EU standards, particularly the eIDAS Regulation. Challenges related to the protection of consumer rights in the digital economy are analyzed. Consumers face new risks such as privacy breaches and fraud in the online environment. International standards, such as GDPR, ensure a high level of personal data protection, while Ukrainian legislation needs further harmonization with international norms to increase the level of consumer rights protection. The policy of cyber security in the field of implementation of legal relations in electronic commerce was studied. Data protection, cybercrime prevention and information security are becoming key challenges for national governments and international organizations. It is important to implement international standards, such as PCI DSS, which guarantee the security of payment card data during their processing and storage. The fact that digitalization, on the one hand, requires adaptation of legal regulation to new conditions, but on the other hand, creates new opportunities for improving legal mechanisms, is summarized. Studying these aspects allows for a deeper understanding of how to adapt legal systems to further the development of e-commerce and ensure a balance between innovation and the protection of the rights of participants in the digital economy.

Peran Kewarganegaraan dalam Hukum Humaniter Internasional : Perlindungan terhadap Kombatan dan Non-Kombatan

The regulation of protection during armed conflicts is greatly aided by the distinction between the rights and protections granted to combatants and non-combatants under International Humanitarian Law (IHL). Nonetheless, there hasn't been much discussion in the literature about how nationality affects how these legal safeguards are applied. This study attempts to investigate how fighters' and non-combatants' rights and safeguards under IHL are impacted by nationality. The results show that nationality can have a substantial impact on the legal status and level of protection that individuals receive, regardless of whether they are combatants or not. This research examines obstacles to the application of legal safeguards and illustrates how nationality influences their implementation using case studies of the crises in Syria and Ukraine. The study suggests that within IHL, precise standards on nationality be developed.

Remote employment in the era of modern changes: current legal analysis

The article explores the urgent aspects of remote employment as one of the forms of non-standard employment in contemporary conditions. At first glance, this type of employment offers more flexibility and independence, but in reality, it is associated with numerous challenges and issues. One of the most important aspects is the need for more detailed regulation and governance of remote employment. Adherence to universally recognized labor rights is essential, as the lack of physical contact can lead to various violations in the labor sphere. The current state of legislation has been analyzed and key aspects of problems that need to be resolved to ensure an adequate level of legal protection for employees have been identified. The article particularly expresses the opinion that the existing regulatory legal acts governing the order of remote employment are outdated. Current statistical data and sociological research emphasizing the importance of developing the legislative framework in this area are taken into account. This indicates the necessity for updating these regulations in line with modern realities and challenges posed by contemporary labor relations. Attention is drawn to the rapid development of the digital economy, which underscores the importance of developing relevant legislation. This will not only ensure the dynamic development of labor relations but also contribute to the preservation of employees’ health and safety. Clear regulation of these issues will improve the quality of life for workers and address challenges associated with remote employment. The active participation of Ukrainian companies that implement advanced management practices and experiment with remote employment as one of the alternative forms of employment was also noted. Additionally, the article examines the advantages and disadvantages of remote employment for both employees and employers, considering their views and interests. In general, the article aims to emphasize the importance of legal regulation of remote employment and its impact on the development of modern labor relations. The authors highlight the need to improve legislation in light of current trends and challenges, which will contribute to the stability and development of the labor market amid ongoing technological transformations.

Is digital technology innovation a panacea for carbon reduction?

This paper analyses the impact of digital technological innovation on the carbon emission intensity of enterprises and conducts an empirical test based on the data of listed enterprises in China from 2009 to 2021. The study finds that (1) digital technological innovation can significantly reduce carbon emission intensity. (2) Enterprises’ digital attention and investment can significantly increase their operating income but not reduce carbon emissions. Digital technology patents can significantly reduce carbon emissions in the short term. In the long run, even new digital technologies will have a carbon rebound effect once they are deployed on a large scale. Therefore, digital technology innovation is still challenging in the long run to realize the synergy effect of “increasing production and reducing carbon.” (3) Mechanism tests show that digital technology innovation can reduce carbon intensity by improving operational efficiency, promoting cleaner production, and improving human capital. (4) If the government pays moderate attention to digital development, digital technological innovation by enterprises can significantly reduce carbon intensity. Meanwhile, this effect is more significant in regions with higher levels of intellectual property protection. Digital technology innovation can significantly reduce carbon intensity for mature, high-tech, and technology-intensive enterprises.

GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies.

Despite significant progress in vaccine research, the level of protection provided by vaccination can vary significantly across individuals. As a result, understanding immunologic variation across individuals in response to vaccination is important for developing next-generation efficacious vaccines. Accurate outcome prediction and identification of predictive biomarkers would represent a significant step towards this goal. Moreover, in early phase vaccine clinical trials, small datasets are prevalent, raising the need and challenge of building a robust and explainable prediction model that can reveal heterogeneity in small datasets. We propose a new model named Generative Mixture of Logistic Regression (GeM-LR), which combines characteristics of both a generative and a discriminative model. In addition, we propose a set of model selection strategies to enhance the robustness and interpretability of the model. GeM-LR extends a linear classifier to a non-linear classifier without losing interpretability and empowers the notion of predictive clustering for characterizing data heterogeneity in connection with the outcome variable. We demonstrate the strengths and utility of GeM-LR by applying it to data from several studies. GeM-LR achieves better prediction results than other popular methods while providing interpretations at different levels.

Combination application of Pickering emulsion and BLS protein nanoparticles enhances vaccine efficacy

The deficiency of recombinant protein immune response could be compensated for by using nanoparticle platforms or adding immune enhancers, however existing vaccines or adjuvants struggle to elicit durable cellular immune responses. In this work, a protein nanoscaffold, lumazine synthase isolated from Brucella (BLS) was optimally designed that could facilitate cellular uptake of displayed antigens and the maturation of bone marrow-derived dendritic cells (BMDCs), and enhancing humoral immune responses. To enhance cellular immune response, chitosan hydrochloride-stabilized Pickering emulsion (CHSPE) was evaluated as an adjuvant for the BLS nanoscaffold-based vaccine. CHSPE could enhance the recruitment and activation of DCs at the injection site and the uptake of antigen and activation of DCs in the draining lymph nodes (dLNs), compared with commercial adjuvant ISA 206. In addition, CHSPE induced antigen-specific antibody levels comparable to those of ISA 206 and increased the ratio of central memory T cells (TCM) and effector memory T cells (TEM), and promoted the secretion of Th1-type cytokines. Moreover, CHSPE-formulated vaccine provided a similar level of protection to the live attenuated vaccine and was superior to that of ISA 206. Taken together, the combination of the BLS nanoscaffold and CHSPE provides a feasible strategy for recombinant protein subunit vaccine development.

From pandemic protection to fuel production: Conversion of waste personal protective equipment-kits to high-quality hydro-processed fuels

The advent of COVID-19 has heightened apprehensions within the plastic waste management sector, particularly due to the increased adoption of single-use personal protective equipment (PPE)-kits at the domestic level and hospitals for protection against contagious diseases. This study addresses the issue by focusing on the hydro-processing of pyrolytic oil derived from thermally catalysed cracking of sterilized waste PPE kits. Employing an indigenously prepared FCC-supported Ni catalyst, the investigation delves into the effects of hydrogenation process parameters-temperature, catalyst composition, and catalyst loadings—maintaining a constant pressure of 70 bar H2 on fuel quality. Experimental results indicate that oil upgraded at a higher temperature of 240 °C with a 10% Ni/FCC catalyst at a 20 wt% loading demonstrates a remarkable selectivity of 76.51 wt% compounds in the C5-12 range, signifying a substantial gasoline fraction. The hydrogenated oil exhibits 57.05 wt% paraffinic content and a desirable 24.5 wt% yield of aromatics. GC-MS analysis reveals the presence of 25 wt% C5-7 iso-alkanes, 9.33 wt% toluene, and 12.35 wt% benzene, closely resembling the composition of commercial gasoline. Moreover, the physicochemical properties of the hydrogenated oil meet specifications for commercial gasoline suitable for automobile applications, making it a viable substitute or complement for blending with commercial gasoline.

Equal compensations under actuarially fair contributions in endowment contingency funds

This paper considers risk-sharing schemes, aiming to demonstrate that it is possible to enforce equal compensations by charging actuarially fair contributions. Specifically, consider a group of individuals exposed to the occurrence of a predefined event with adverse financial consequences such as death, survival or being diagnosed with a critical illness for instance. All members of the group agree to contribute in advance a fixed amount to a pool constituted over a reference period with the understanding that the sum of the contributions is shared in arrear among those participants having experienced the predefined event. This allocation is either uniform among claiming participants, each one receiving an equal share of total contributions, or participants are offered the choice to select a desired protection level. In the latter case, participants are free to subscribe one or several units of protection from the fund, and the total amount collected in advance is shared in arrear, equally among all units held by those participants who experienced the predefined event. Endowment contingency funds aim to provide participants with a cheap and effective protection compared to commercial insurance. The reason is that the proposed system is fully funded so that there is no risk borne by the organizer. The benefits in case the event occurs are therefore random but the volatility of the terminal payouts turns out to be limited when the number of participants gets large enough. Under independence, insurance at fair price is recovered at the limit, within infinitely large pools. As an application, the paper considers mutual aid funds and survivor funds. A comparison with takaful insurance is performed.

Operator exposure and cabin protection in plant protection product application

AbstractTightly sealed driver's cabs can effectively protect the user from exposure when applying crop protection products. Therefore, under certain conditions, users in such cabins can avoid wearing personal protective equipment for skin and eyes. The protective effect depends on the technical design and handling of the different cabin types and can be divided into categories with different levels of protection. Since the level of protection of the different types of cabins and the associated possibility of not wearing personal protective equipment has not been sufficiently scientifically verified in the past, the present study was carried out to close this gap. Field and laboratory test methods were developed and used to assess exposure levels. External contamination of the cabin was measured using various dosimeters. Exposure inside the cabins was measured on coveralls and gloves to measure dermal exposure and with aerosol sampling pumps to determine inhalation exposure. Tests were conducted on tractors with different cab categories using an air-assisted orchard sprayer as a worst-case scenario for exposure to spray drift. Additionally, an alternative laboratory test method was developed and conducted to evaluate filter efficiency under controlled conditions and compare it with the field tests. The results showed that exposure inside closed cabins was generally low and was not notably correlated with the cabin category. All types of cabins tested were found to provide significant protection from dermal and inhalation exposure.

Characterizing Event-Driven PrEP Use and Investigating its Association with Experiences of PrEP-Related Barriers Among a US National Sample of PrEP Users.

After a decade of implementation in the US, PrEP uptake remains underutilized by communities that would greatly benefit from it. Event-Driven (ED) PrEP is a potential avenue to increase uptake, however very little is known about its use in the US. We analyzed data derived from Together 5000, an internet-based U.S. national cohort of Sexual and Gender Minority (SGM) individuals aged 16-49years and at risk for HIV. First, we looked at predictors of ED PrEP use using a framework based on current US-based PrEP implementation-related variables. Then, we explored whether experiencing certain types of barriers were associated with choice of ED PrEP over daily PrEP using logistic regression analysis. Our findings showed that variables related to education and sexual behaviors were associated with ED PrEP choice, while experiencing barriers to daily PrEP had no effect. We found a gradient effect with education, where individuals who reported having some college had 3 times the odds of taking ED PrEP, those reporting a bachelor's degree had 3.25 times the odds, and those with graduate school education had 7.56 times the odds of choosing ED PrEP compared to those with a high school diploma or less. Individuals who reported having 2 or more hours of lead time for sex had 3.35 times the odds of using ED PrEP (aOR = 3.35, 95% CI 2.23-5.47). Participants who reported having an STI within the last 6months had 60% lower odds of using ED PrEP (aOR = 0.4, 95% CI 0.2-0.72). The use of ED PrEP is a promising pathway for expanding PrEP due to its success and protection levels. Our studies indicated that educational background and behavior influence PrEP choice. Ensuring PrEP candidates and users have access to information about new PrEP types may increase uptake and support implementation efforts.

Designing economic-statistical Hotelling’s T 2 control charts for monitoring linear profiles under uncertainty of parameters

This paper proposes a robust economic-statistical design for Hotelling’s T 2 control chart to monitor linear profiles, accounting for uncertain parameters. Unlike previous studies assuming fixed inputs, this work applies an uncertainty interval approach to address parameter uncertainty when investigating the T 2 chart design. In this way the challenge of parameter uncertainty's adverse impact on the effectiveness of quality control models in practice is addressed. The key contribution of this study is formulating a T 2 control chart that maintains accuracy despite uncertainty. Results demonstrate the value of increased costs to mitigate uncertainty risks. The proposed approach also facilitates selecting appropriate protection levels against uncertainty. The paper examines practical challenges and applications of implementing the T 2 chart under real-world conditions affected by uncertainty. Overall, the proposed robust T 2 control chart design incorporates parameter ranges for monitoring linear profiles, contrasting with previous models assuming fixed parameters.

Internet Use Maintains Cognitive Function among middle- and old-aged Chinese: A Five-year Longitudinal Study.

Cognitive decline poses one of the greatest global challenges for health and social care, particularly in China, where the burden on the elderly population is most pronounced. Despite the rapid expansion of internet access, there is still limited understanding of the long-term cognitive impacts of internet usage among middle-aged and elderly individuals. This study aims to explore the association between internet usage and age-related cognitive decline among middle- and old-aged Chinese. To gain a more comprehensive understanding of the effects of internet usage, we also focused on assessing the impact of both the frequency of internet use and the types of internet devices on cognition. Moreover, we assessed the mediating role of internet usage on cognitive function for characteristics significantly linked to cognition in stratified analysis. We analyzed data based on 12,770 dementia-free participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study. We employed a fixed-effects model to assess the relationship between internet usage and cognitive decline, and further validated it using multiple linear regression, generalized estimating equations (GEE), propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and overlap weighting (OW). We further examined the varying effects of internet device type and frequency on cognitive function using fixed-effects models and Spearman's rank correlation. The Karlson-Holm-Breen (KHB) method was used to estimate the mediating role of internet usage in the urban-rural cognitive gap. Participants using the internet (n=1,005) were younger, more likely to be male, more educated, married, retired, living in an urban area, and had higher cognitive assessment scores compared with non-users (n=11,765). After adjusting for demographic and health-related risk factors, there was a positive correlation between internet use and cognitive function (β=0.551, 95% CI 0.391 to 0.710). Over the follow-up period, persistent internet users had a markedly lower 5-year incidence of neurodegenerative diseases at 2.2% (15/671) compared with non-users at 5.3% (379/7,099; P<.001). The negative impact of aging (> 50) on cognitive function was consistently less pronounced among internet users compared to non-users. Furthermore, increased frequency of internet usage was associated with greater cognitive benefits for middle-aged and elderly individuals (rs = 0.378, P<.001). Among digital devices used for internet access, cellphones (β=0.398, 95% CI 0.283 to 0.495) seem to have a higher level of cognitive protection compared to computers (β=0.147, 95% CI 0.091 to 0.204). The urban-rural disparity in cognitive function was partially attributed to the disparity in internet use (34.2% of the total effects, P<0.001). This study reveals that the use of internet by individuals aged 45 years and older is associated with a reduced risk of cognitive decline. Internet usagehas the potential to be a viable, cost-effective, non-pharmacological intervention forcognitive decline among middle-aged and elderly individuals.

Spatial heterogeneity analysis on distribution patterns and underlying determinants of historical rural settlements: a case study in Taihang Baxing

As vital carriers of cultural heritage, rural areas are facing the threats of degradation and urbanization during rapid urbanization processes. In recent years, China has formulated and implemented a series of national policies, regulations, and heritage protection lists to safeguard and perpetuate the traditional patterns and historical features of rural heritage. However, these rural heritage listings exhibit significant macro-level distributional imbalances and generally lack consideration of regional characteristics. This study uses the Taihang Baxing (THBX) in China as a case study, initially employing historical local documents and maps as base data. It utilizes the stability in the evolution of Chinese characters to compare historical and contemporary village names, filtering out existing historical rural settlements (HRS) to construct a dataset. Further, a multi-scale geographically weighted regression (MGWR) model is applied to analysis the impacts of natural, economic, and social factors on the concentration of HRS (CHRS). The study reveals that the CHRS in the region is markedly characterized by clustering, with evident spatial heterogeneity in the impacts of various factors. Slope (SLP), total annual precipitation (TP), and potential crop yield (PCY) significantly influence the CHRS globally, while elevation (ELV), distance to ancient path (DAP) and surface runoff (DSR), gross domestic product (GDP), and road density (RD) have significant local impacts. This research offers a methodological framework for HRS data compilation and provides theoretical and methodological references for national and local levels of rural heritage protection, optimization of rural spatial patterns, prediction of rural evolution pathways, and implementation of China’s rural revitalization strategy.

Euro NCAP Safety Tests: Trials Road Cars go through before they Receive a Star Rating

Road safety is an issue of major importance in European Union policies, with the main objectives of reducing/eliminating road accidents, reducing/eliminating road casualties and fatalities, and increasing the level of safety and comfort for all road users. The scientific paper presents a concrete research carried out by the authors in order to implement some technical concepts, so that those interested in this field can become acquainted with a certain way of presenting the problems of the safety tests carried out by the European organization for road safety assessment Euro NCAP, established in 1996, based in Louvain, Belgium, the first results of the tests carried out on road vehicles were published in February 1997. In this way, readers can learn about how European organizations interpret the number of stars in road vehicle safety tests, the scales of results for awarding safety stars, the evidence of Euro Ncap tests and levels of protection for adult and child road users, the protection of vulnerable road users (motorcyclists, cyclists, pedestrians) and the conditions for testing the effectiveness of safety systems fitted by manufacturers on road vehicles. It is then presented, the Euro NCAP assisted driving of road vehicles, quadricycle ratings of road vehicles, Euro NCAP tests for trucks and a case study on Euro NCAP tests for the Romanian off-road car, Dacia Duster 3rd generation. The conclusions of the scientific research are presented at the end of the paper.