What is inclusive publishing and how do editorial considerations in inclusive journals differ from those in selective journals? And how does diversity support inclusive publishing? Join me in exploring this important topic, which plays a vital role in advancing scientific progress.

The coronavirus disease 2019 (COVID-19) pandemic has presented humanity with enormous challenges in terms of both medically managing the acute waves of infection and dealing with the sociopolitical consequences of the important measures taken to combat the viral threat. The division of societies into opposing factions—those who support the measures and those who doubt the viral causality of the observed disease progression—has had a profound impact on our social and political systems. Furthermore, the prevalence of postviral syndrome (long COVID-19) and postvaccination syndrome is increasing. Numerous viral mechanisms that have facilitated the exponential spread of infection are known from the study of other viral pathogens. For example, the cleavage of the spike glycoprotein (SGP) into S1 and S2 by transmembrane serine protease 2 (TMPSSR2) markedly increases the affinity of the virus for the angiotensin-converting enzyme 2 (ACE2) receptor, thereby significantly increasing infectivity. Similarly, the potential blockade of α7n-acetylcholine receptors (α7nARs) can significantly impair the body's primary anti-inflammatory mechanism, the cholinergic anti-inflammatory pathway. The various mechanistic pathways of SARS-CoV-2 infection, such as SGP cleavage to accelerate viral entry and nonintrinsic high-affinity binding to acetylcholine receptors, are likely common to other viruses. Given the inevitability of the next viral pandemic, in addition to the continued advancement of antiviral vaccines, it is imperative to incorporate strategies to prevent future viral threats that target these mechanisms. This narrative review aims to search the literature for antiviral strategies that, in addition to the development of specific vaccines, may help to contain the rapid spread of infection chains. The proposed measures, such as the use of transmembrane serine protease 2 (TMPSSR2) inhibitors, antiviral mouthwashes or high-affinity cholinergic ligands, have the potential not only to counteract the development of viral resistance to vaccines, but also to prevent and treat post-acute infection syndromes in the event of future viral pandemics. Graphical Abstract

Objective This study systematically reviews the integration of artificial intelligence (AI) with investment funds in the asset management industry and emphasizes its transformative impact. Aiming to bridge knowledge gaps, this study explores AI's position within the industry, analyzes its variety, and assesses the transformational implications of existing practices. Methodology Adhering to systematic review methodology, a comprehensive search was conducted across the Web of Science and Scopus databases, identifying 27 high-quality studies published from 2020 to 2024. The study was then analyzed thematically. Findings The first theme of the review classifies AI applications into front-end and back-end roles, illustrating the transition from traditional processes. On the front-end, AI assists simple activities by analyzing an investor's profile to determine a suitable fund, similar to a human financial consultant. The back-end sees AI performing autonomous trading and managing pooled fund investments, resembling a human fund manager. As a secondary theme, this review analyse AI deployment include using robo-advisors and chatbots for front-end tasks, screening analysis, predictive analytics, automated algorithmic trading, and automated trading technical analysis for back-end tasks. This study also includes a deductive discussion on the implications and transofrmation of AI deployment. Contribution/implications This review serves as an analytical framework to highlight AI in investment funds in asset management and serves as a springboard for future research and industrial applications.

Novel agents for chronic lymphocytic leukemia (CLL) target specific pathways and mechanisms to overcome drug resistance and improve treatment outcomes. Here’s how they work:

This study investigates the determinants of ecological sustainability across G7 nations by analyzing the factors influencing the load capacity factor (LCF)

Aggressive behaviours towards other dogs is a common behavioural issue in pet dogs and frequently occurs during on-lead walks. These behaviour are of signi

Drought poses significant challenges to agricultural systems, particularly in arid and semi-arid regions, emphasizing the need to understand resilience strategies and their determinants to inform climate policies. This study assessed farmers' resilience to climatic drought using a relational framework connecting farmers’ perceptions and adaptation strategies, aiming to support climate-resilient pistachio orchards (POs) in Rafsanjan, Iran. The research was conducted in three stages: (i) Regional Drought Assessment—drought status was evaluated using indices and individual farmer characteristics; (ii) Perception Analysis—farmers’ awareness of drought and environmental impacts was examined; and (iii) Adaptation Strategy Identification—binary logit regression identified farmers’ adaptation strategies. Data were collected through structured questionnaires from 130 pistachio growers and regional climate datasets. Findings indicated declining regional drought indices (0.4 to − 1.11), reflecting increasing severity. Farmers reported major socio-economic impacts, including social conflict, migration, and poverty, as well as environmental effects such as groundwater depletion and poor water quality. Adaptation varied by age and experience, with key strategies including adoption of advanced irrigation technologies, off-farm employment, and securing land and water resources outside the region. These strategies enhanced resilience and reduced vulnerability to drought. To ensure the sustainability of pistachio orchards, the study highlights the importance of strengthening farmers’ capabilities and adaptive capacity. These insights serve as a foundation for developing targeted policies and advancing transformative climate governance for agricultural sustainability in drought-prone areas.

Background and aims The COVID-19 pandemic significantly impacted high-performance athletes (HPAs) by affecting their training and participation in competitions due to cancellations. The aim of this study is to analyze HPAs’ physical activity, sedentary behavior, and mental health during and after the COVID-19 lockdown while considering sex and type of sport. Materials and methods A repeated-measures observational study with a census sampling approach (N = 556) HPAs from a public university in Mexico. Informed consent was obtained, and a survey was administered in person and online. Physical activity and sedentary behavior were measured using the International Physical Activity Questionnaire (IPAQ), and mental health was assessed using the Profile of Mood States (POMS). Percentages, means, standard deviations, Student’s t-test, and Kruskal–Wallis tests were analyzed. Results Participants were an average age of 19.5 years; 50.2% were male, 55.9% practiced ball sports, 28.5% engaged in athletic sports, and 15.6% participated in combat sports. During confinement, 63.1% reported a high level of physical activity, which increased to 89.4% after confinement (X2 = 20.37, p < 0.0001). Moreover, 86% exhibited sedentary behavior during confinement, which decreased to 57.9% afterward (p < 0.00001). No significant differences were found considering sex or type of sport. Regarding mental health, significant improvements were observed in all dimensions by sex and type of sport (p < 0.05), except for the vigor dimension. Conclusions The lockdown impacted HPAs’ physical activity levels and mental health. After confinement, athletes increased their levels of vigorous physical activity and reduced sedentary behavior, reflecting adaptation to the new circumstances. Mental health indicators improved post-lockdown, although differences by sex and type of sport persisted in certain aspects.

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The wireless sensor network (WSN) is considered as a network, encompassing small-embedded devices named sensors that are wirelessly connected to one another for data forwarding within the network. These sensor nodes (SNs) follow an ad-hoc configuration and are connected with the Base Station (BS) through the internet for data sharing. When more amounts of data are shared from several SNs, traffic arises within the network, and controlling and balancing the traffic loads (TLs) are significant. The TLs are the amount of data shared by the network in a given time. Balancing these loads will extend the network’s lifetime and reduce the energy consumption (EC) rate of SNs. Thus, the Load Balancing (LB) within the network is very efficient for the network’s energy optimization (EO). However, this EO is the major challenging part of WSN. Several existing research concentrated and worked on energy-efficient LB optimization to prolong the lifetime of the WSN. Therefore, this review collectively presents a detailed survey of the linear programming (LP)-based optimization models and alternative optimization models for energy-efficient LB in WSN. LP is a technique used to maximize or minimize the linear function, which is subjected to linear constraints. The LP methods are utilized for modeling the features, deploying, and locating the sensors in WSN. The analysis proved the efficacy of the developed model based on its fault tolerance rate, latency, topological changes, and EC rates. Thus, this survey briefly explained the pros and cons of the developed load-balancing schemes for EO in WSN.

The latest advancements and near-future trends in automotive battery packs, underlying regulatory compliance, and performance requirements are presented in this paper. In response to these specifications, high-level solutions that converge towards a standard architecture for passenger cars are provided. Transitioning to high-voltage systems (400 V–800 V), which support charging power levels above 350kW, reduces the required current. This, in turn, lowers the weight and volume of cell/module connectors and high-voltage cables in the drivetrain. Additionally, optimization strategies are crucial for enabling fast charging in all conditions, especially in cold climates, while ensuring safe operation, preventing thermal runaway, and reducing charging times to under 20 minutes. Also, advances in energy density (up to 300 Wh/kg) and battery capacities make advancements in enhancing the electric vehicle’s range beyond 1000 km per charge. Key factors such as electrical performance, safety, mechanical integrity, reliability, endurance, environmental conditions, and diagnostics are examined. This study explores the next generation of cost-effective and high-performance battery systems and discovers near-future battery technologies, including sodium-ion chemistry and rare-earth-free alternatives, as well as battery applications in aviation.

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