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Abstract This paper presents the design and analysis of a high-performance microstrip patch antenna operating at 28 GHz, along with a multiple-input multiple-output configuration optimized for beyond 5G and IoT applications. The proposed MPA incorporates a rectangular patch with two symmetrical L-shaped slots and a central rectangular slot, enhancing impedance matching and radiation characteristics. Fabricated using Rogers RT5880 substrate with a dielectric constant (ε ᵣε r ) of 2.2 and a loss tangent of 0.0009, the antenna achieves a return loss of − 33.04 dB, ensuring minimal signal reflection and efficient power transfer. The simulated gain reaches 10.11 dBi, and the voltage standing wave ratio (VSWR) is measured at 1.04, indicating excellent performance. To further enhance system efficiency, a MIMO configuration is implemented, improving parameters such as return loss, isolation, and diversity gain. The MIMO system achieves gains of 10.2, 9.91, 10.2, and 9.84 dBi for individual elements, with a diversity gain of 10 dB, ensuring robust signal performance and increased data throughput. The design was fabricated and experimentally validated using a vector network analyzer, demonstrating strong agreement between simulations and measurements. These results confirm the antenna’s suitability for high-speed wireless communication in next-generation IoT networks.

The present study aims to examine and compare, in both mobile phone addicts (MPAs) and possible-MPAs, (1) the direct effect of mobile phone addiction (MPA) levels on adolescent depressive symptoms, and (2) the indirect effect of MPA levels on depressive symptoms as mediated by parent-adolescent relationships. We recruited 1766 Chinese adolescents (53.2% male; Mage= 13.30, SD = 2.00, range from 10 to 18 years) from Shenzhen Shuijing Primary School, Shenzhen Longcheng Middle School, and High School of Shenzhen Overseas Chinese Town in China. The participants completed a questionnaire survey that measured MPA levels, parent-adolescent relationships, and depressive symptoms. The results showed that (1) The direct effect of MPA on adolescent depressive symptoms was stronger than that of possible MPA; (2) the indirect effect of MPA on depressive symptoms through parent-adolescent relationships was stronger than that of possible MPA. This study expanded the interdependent relationship between Internet addiction and depression by illustrating the mediating mechanism of parent-adolescent relationships in the link between different levels of MPA and adolescent depressive symptoms, having made an important contribution to the development of family-based prevention and intervention strategies for adolescent depressive symptoms.

Antenna studies on various wireless communication systems have been carried out by many academics. In this research, the omnidirectional microstrip patch antenna (MPA) is proposed, manufactured, and tested. The operating bandwidth of the antenna is quite suitable for the different applications. The proposed antenna fabricated on the flame retardant (FR-4) substrate with a volume of 75.85 × 57.23 × 1.59 mm 3 . Computer simulation technology (CST) studio used to design and simulate. Experimental results show that the return loss (RL), bandwidth (BW), voltage standing wave ratio (VSWR) and input impedance ( Z in ) are -25.26 dB, 61 MHz, 1.12 and 54.46 Ω, respectively. The antenna operates at 2.42 GHz (from 2.39 to 2.45 GHz), which has good performance in the Wi-Fi, Bluetooth, and ZigBee communications.

Thermal stress is now considered the major recent cause of coral reef degradation; yet few studies have been conducted describing those effects on Southwestern Atlantic (SWA) reefs. The SWA represents a coral endemism hotspot with low-functional redundancy and therefore high extinction risk. Recent research has suggested a “thermal refuge” potential for SWA; however, evidence could suggest a different trend. We report herein an unprecedented coral mortality on the largest coastal Brazilian Marine Protected Area (MPA) following the worst thermal stress event since 1985. Degree Heating Week (DHW) values over 4.0 were observed for 107 days, averaging 8.70 for the period, with a maximum of 12.1. Average live coral cover was reduced by 18.1% while average turf algae cover increase by 19.3%. Mortality was highest for three coral species, with a mean mortality of 50.8% per transect for Millepora braziliensis , 32.6% for Mussismilia harttii and 16.6% for Millepora alcicornis . Our unique data for SWA indicates that the populations of two Brazilian endemic species ( Millepora braziliensis and Mussismilia harttii ) are under severe threat from global warming and that overall coral cover has been dramatically reduced. Hence, the idea of a possible “thermal” refugia within the SWA must be taken with caution for this coral endemism hotspot.

Marine protected areas (MPAs) are globally important environmental management tools that provide protection from the effects of human exploitation and activities, supporting the conservation of marine biological diversity, habitats, ecosystems and the processes they host, as well as resources in a broad sense. Consequently, they are also expected to manage and enhance marine ecosystem services and material, non-material, consumptive and non-consumptive goods, and benefits for humans. There is however certain confusion on what constitutes an ecosystem service, and it is not always easy to distinguish between them and societal benefits. The main nuance is that an ecosystem service is the aptitude an ecosystem has or develops naturally or as consequence of a management action, and that manifests through its own properties (productivity, diversity, stability, quality of its key parameters, etc.), while a societal benefit is the economic or other profitability (emotional, educational, scientific, etc.) that humans obtain from said service or quality. In this work, 268 publications, together with our own experiences in the different investigations carried out in the MPAs that are part of the BiodivERsA3-2015-21 RESERVEBENEFIT European project, have been selected, reviewed and discussed to analyze the knowledge status of the expected ecosystem services of MPAs and the societal benefits derived from them, sometimes providing information on their evidence, when they exist. We define and classify the effects of protection, ecosystem services and societal benefits and elaborate a conceptual model of the cause-effect relationships between them.

[This corrects the article DOI: 10.3389/fcimb.2025.1689743.].

Globally, marine protected area (MPA) objectives have increasingly shifted from a primary focus on maintaining ecosystems through prohibiting extractive activities, to more equitable approaches that address the needs of both people and nature. This has led to MPAs with a diverse array of fisheries restrictions and recent debate on the type of restrictions that contribute to achieving biodiversity goals. Here we use a global dataset of 172 MPAs (representing 31 nations) alongside nine detailed case study MPAs (from Australia, Belize, Cambodia, Federated States of Micronesia, Fiji, Indonesia, Madagascar, Solomon Islands, and United States of America), including partially protected areas that allow regulated fishing, to illustrate the many diverse pathways that some MPAs have adopted to protect biodiversity and safeguard the rights and well-being of resource-dependent coastal communities. We group MPAs based on their restrictions and explore four key insights emerging from these groupings using our nine case studies: (i) MPAs use highly diverse approaches to regulate fisheries; (ii) partially protected areas can address gaps in regional fisheries management; (iii) devolving resource management rights to communities influences the chosen fisheries restrictions; and (iv) state-governed MPAs can use highly tailored fisheries restrictions to increase equity in access. We find that partially protected MPAs can offer effective and equitable pathways for biodiversity conservation if tailored to local context. Rather than focusing primarily on fully protected areas for achieving new global MPA targets, we recommend countries use a blend of locally-appropriate protection levels – from fully protected areas to partially protected MPAs to achieve positive biodiversity outcomes.

This research suggests a robust integration of artificial neural networks (ANN) for predicting swell pressure and the unconfined compression strength of expansive soils ( P s UCS -ES). Four novel ANN-based models, namely ANN-PSO (i.e., particle swarm optimization), ANN-GWO (i.e., grey wolf optimization), ANN-SMA (i.e., slime mould algorithm) alongside ANN-MPA (i.e., marine predators’ algorithm) were deployed to assess the P s UCS -ES. The models were trained using the nine most influential parameters affecting P s UCS -ES, collected from a broader range of 145 published papers. The observed results were compared with the predictions made by the ANN-based metaheuristics models. The efficacy of all these formulated models was evaluated by utilizing mean absolute error (MAE), Nash–Sutcliffe (NS) efficiency, performance index ρ , regression coefficient ( R 2 ), root mean square error (RMSE), ratio of RMSE to standard deviation of actual observations (RSR), variance account for (VAF), Willmott’s index of agreement (WI), and weighted mean absolute percentage error (WMAPE). All the developed models for P s -ES had an R significantly > 0.8 for the overall dataset. However, ANN-MPA excelled in yielding high R values for training dataset ( TrD ), testing dataset ( TsD ), and validation dataset ( VdD ). This model also exhibited the lowest MAE of 5.63%, 5.68%, and 5.48% for TrD , TsD , and VdD , respectively. The results of the UCS model’s performance revealed that R exceeded 0.9 in the TrD . However, R decreased for TsD and VdD . Also, the ANN-MPA model yielded higher R values (0.89, 0.93, and 0.94) and comparatively low MAE values (5.11%, 5.67, and 3.61%) in the case of PSO, GWO, and SMA, respectively. The UCS models witnessed an overfitting problem because the aforementioned R values of the metaheuristics were 0.62, 0.56, and 0.58 ( TsD ), respectively. On the contrary, no significant observation was recorded in the VdD of UCS models. All the ANN-base models were also tested using the a-20 index. For all the formulated models, maximum points were recorded to lie within ± 20% error. The results of sensitivity as well as monotonicity analyses depicted trending results that corroborate the existing literature. Therefore, it can be inferred that the recently built swarm-based ANN models, particularly ANN-MPA, can solve the complexities of tuning the hyperparameters of the ANN-predicted P s UCS -ES that can be replicated in practical scenarios of geoenvironmental engineering.

The international community set a global conservation target to protect at least 30% of the ocean by 2030 (“30 × 30”) to reverse biodiversity loss, including through marine protected areas (MPAs). However, varied MPAs result in significantly different conservation outcomes, making MPA coverage alone an inadequate metric. We used The MPA Guide framework to assess the the world's largest 100 MPAs by area, representing nearly 90% of reported global MPA coverage and 7.3% of the global ocean area, and analyzed the distribution of MPA quality across political and ecological regions. A quarter of the assessed MPA coverage is not implemented, and one‐third is incompatible with the conservation of nature. Two factors contribute to this outcome: (1) many reported MPAs lack regulations or management, and (2) some MPAs allow high‐impact activities. Fully and highly protected MPAs account for one‐third of the assessed area but are unevenly distributed across ecoregions in part because some nations have designated large, highly protected MPAs in their overseas or remote territories. Indicators of MPA quality, not only coverage, are needed to ensure a global network of MPAs that covers at least 30% of the ocean and effectively safeguards representative marine ecosystems from destructive human activities.

The current pandemic of the new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or COVID-19, has received wide attention by scholars and researchers. The vast increase in infected people is a significant challenge for each country and the international community in general. The prediction and forecasting of the number of infected people (so-called confirmed cases) is a critical issue that helps in understanding the fast spread of COVID-19. Therefore, in this article, we present an improved version of the ANFIS (adaptive neuro-fuzzy inference system) model to forecast the number of infected people in four countries, Italy, Iran, Korea, and the USA. The improved version of ANFIS is based on a new nature-inspired optimizer, called the marine predators algorithm (MPA). The MPA is utilized to optimize the ANFIS parameters, enhancing its forecasting performance. Official datasets of the four countries are used to evaluate the proposed MPA-ANFIS. Moreover, we compare MPA-ANFIS to several previous methods to evaluate its forecasting performance. Overall, the outcomes show that MPA-ANFIS outperforms all compared methods in almost all performance measures, such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Squared Relative Error (RMSRE), and Coefficient of Determination( R 2 ). For instance, according to the results of the testing set, the R 2 of the proposed model is 96.48%, 98.59%, 98.74%, and 95.95% for Korea, Italy, Iran, and the USA, respectively. More so, the MAE is 60.31, 3951.94, 217.27, and 12,979, for Korea, Italy, Iran, and the USA, respectively.