The Intersection between Immune System and Idiopathic Pulmonary Fibrosis—A Concise Review

Idiopathic pulmonary fibrosis (IPF) is marked by progressive alveolar destruction, impaired tissue regeneration, and relentless fibrogenesis, culminating in respiratory failure and death. A diverse array of resident and non-resident cells within the lung contribute to disease pathogenesis. Notably, immune cells, both resident and recruited, respond to cues from sites of lung injury by undergoing phenotypic transitions and producing a wide range of mediators that influence, initiate, or dictate the function, or dysfunction, of key effector cells in IPF pathology, such as alveolar epithelial cells, lung fibroblasts, and capillary endothelial cells. The role of the immune system in IPF has undergone an interesting evolution, oscillating from initial enthusiasm to skepticism, and now to a renewed focus. This shift reflects both the past failures of immune-targeting therapies for IPF and the unprecedented insights into immune cell heterogeneity provided by emerging technologies. In this article, we review the historical evolution of perspectives on the immune system’s role in IPF pathogenesis and examine the lessons learned from previous therapeutic failures targeting immune responses. We discuss the major immune cell types implicated in IPF progression, highlighting their phenotypic transitions and mechanisms of action. Finally, we identify key knowledge gaps and propose future directions for research on the immune system in IPF.

Are Memory Updating Tasks Valid Working Memory Measures? A Meta-Analysis

The memory updating (MU) process is a core component of working memory (WM). To systematically examine the validity of two commonly used MU tasks as WM measures, the present meta-analysis (76 studies, total N = 16,184) synthesized results on the correlation between the two MU tasks and two criterion tasks (working memory capacity (WMC) and fluid intelligence (Gf)). Results indicated a moderate correlation between running memory (RM) and WMC (r = 0.42, 95% CI = [0.37, 0.48]), a weak correlation between n-back and WMC (r = 0.23, 95% CI = [0.19, 0.28]), and moderate correlations between both RM (r = 0.40, 95% CI = [0.35, 0.46]) and n-back (r = 0.34, 95% CI = [0.32, 0.37]) and Gf. Subgroup analyses showed that memory load moderated the correlation between RM and WMC, and stimulus-onset asynchrony moderated the correlation between n-back and both WMC and Gf. The recollection and recognition nature of RM and n-back contributed to their different correlation with WMC, and the involvement of controlled attention in both tasks accounted for their association with Gf. The present meta-analysis indicated that RM is a more valid WM measure in behavioral studies on individual differences.

The Reconfiguration of Social Bonds in the Digital Age: Virtual Connections vs. Face-to-Face Relationships

The article examines how smartphones and social media are transforming human interactions, challenging traditional concepts of friendship, intimacy, and belonging. Phenomena such as “phubbing” and constant connectivity are explored, highlighting the negative impacts of hyperconnectivity on the quality of face-to-face interactions and emotional well-being. While these technologies expand the reach of connections, they often lead to more superficial relationships, altering family, educational, and professional dynamics. Anthropological analysis is emphasized as essential for understanding these changes, revealing how digital practices vary across different cultural and social contexts. Ethnographic studies and innovative methodologies are suggested to investigate how digital technologies reshape identities, communities, and social hierarchies. The importance of an interdisciplinary approach, combining anthropology, psychology, and data science, is underscored to address the emerging challenges of the digital era and foster more authentic and healthy human relationships.

Unemployment, Inequality, and Occupational Stress: Mental Health Outcomes in Brazil (2012–2022)

This study examines the relationship between occupational stress-related leaves, classified under International Classification of Diseases code F43, and socioeconomic factors such as unemployment, income inequality, and worker income in Brazil from 2012 to 2022. Work-related stress disorders, especially those involving severe stress reactions and adjustment disorders, are big problems for occupational health. Bad working conditions and differences in income can make these problems worse. This research utilized secondary data from official Brazilian databases to perform time-series analyses and structural equation modeling. Results revealed a decline in stress-related leaves during the COVID-19 pandemic, likely influenced by remote work adoption and reduced exposure to workplace hazards. Structural modeling identified key relationships: unemployment rates and occupational risk exposure were positively associated with stress-related leaves, while higher income levels were protective. Unexpectedly, income inequality influenced aggression-related leaves but had no significant direct impact on stress-related leaves. These findings underscore the multifaceted impact of socioeconomic and workplace factors on occupational health, highlighting the need for policies addressing mental health at work and fostering equitable labor conditions. The study also identifies limitations, including potential underreporting and the exclusion of demographic nuances. Future research should adopt a multidisciplinary approach and consider disaggregated data to enhance understanding and intervention strategies.

The Emerging “AI Artists”: Breaking the Metacrisis and the Fear of Losing Human Creativity

The emergence of artificial intelligence (AI) in the creative arts has ignited a global discourse on the intersection of technology, human creativity, and artistic expression. This paper examines the rise of “AI artists” within the broader context of neuropsychology, the metacrisis, and theories of art and creativity. Drawing on Ian McGilchrist’s hemispheric theory, it explores how AI, often associated with left-hemisphere analytical dominance, can paradoxically contribute to right-hemisphere creative processes. The study evaluates the role of AI in expanding artistic boundaries, democratizing creative expression, and redefining authorship, while addressing concerns about originality, cultural significance, and the potential devaluation of human-made art. Through an anthropological and philosophical lens, the paper argues that AI does not replace human creativity but rather augments it, offering novel tools for artistic exploration. By integrating insights from cognitive science, aesthetics, and digital humanities, this article positions AI as a collaborator in artistic evolution rather than a competitor. Ultimately, there is an assertion that the human capacity for meaning-making and emotional resonance remains irreplaceable, ensuring that human creativity persists and thrives alongside AI-generated art.

Comparative Study of Elastomer Nanocomposites Respectively Containing SWCNTs and MWCNTs

Carbon nanotubes (CNTs) are essential for providing polymers with mechanical reinforcement and multifunctional properties. This study investigated two groups of nitrile butadiene rubber (NBR) nanocomposites containing single-walled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs), respectively. SWCNTs were purified to remove appro-ximately 20 wt.% of impurities, and both CNTs were modified with polyethylene glycol tert-octylphenyl ether (Triton X-100) before emulsion compounding and 2-roll milling with NBR. MWCNTs were found to disperse in the elastomer matrix relatively uniformly, while SWCNTs formed aggregates. Consequently, NBR/MWCNT nanocomposites exhibited superior mechanical properties, e.g. a tensile strength of 10.8 MPa at 4.02 vol.% MWCNTs, compared to 5.6 MPa for NBR/SWCNT nanocomposites. Additionally, NBR/MWCNT nanocomposites exhibited more remarkable electrical conductivity and swelling resistance to toluene. The diameter of elastomer macromolecules (0.2–0.5 nm) is close to that of SWCNTs (1–2 nm), and their single graphene wall with a hollow structure makes SWCNTs almost as flexible as elastomer macromolecules. This similarity suggests that SWCNTs should be treated as a special type of polymer. SWCNTs cannot disperse as uniformly as MWCNTs in the elastomer matrix, likely due to their smaller size and lower sensitivity to mechanical shearing during the emulsion compounding and 2-roll milling process.

Ancient Genes and Minority Languages in Italy. Book Review: Gli Italiani che non conosciamo. Lingue, DNA e percorsi delle comunità storiche minoritarie, eds. by G. Destro Bisol et al., Istituto Italiano di Antropologia—Edicions de l’Alguer: Roma, Italy; Alghero (Sassari), Italy, 2023; ISBN: 9788899504717

High-Temperature Catalytic Platform Powered by Thermophilic Microorganisms and Thermozymes

Thermophilic microorganisms, capable of thriving under high temperatures, are emerging as key platforms for next-generation industrial biotechnology (NGIB), driving innovations in lignin biorefining, bioplastics synthesis, biodiesel production, and environmental remediation. Enzymes derived from thermophilic microorganisms, thermozymes, exhibit remarkable stability and efficiency under extreme conditions, making them highly suitable for diverse industrial applications. This review highlights recent advances in leveraging thermophilic microorganisms and thermozymes for high-temperature catalysis, focusing on their economic and environmental benefits. It also emphasizes progress in high-throughput screening and artificial intelligence (AI), which have revolutionized the bioprospecting, engineering, and application potential of thermozymes. Challenges and potential solutions for industrial implementation of high-temperature catalytic platforms are also discussed, highlighting their transformative impact on sustainable biotechnology.

Motion Control of Floating Wind-Wave Energy Platforms

Mitigating wave-induced motions in floating multi-body systems is a critical challenge in ocean engineering. For single floating structures, such as floating platforms or vessels, applying active control requires considerable energy. It is also a common solution to add auxiliary structures and a power take-off (PTO) device, thereby forming a multi-body system that utilises passive control. However, the effectiveness of this method is limited due to varying phase differences between control forces and motions, which change across different wave frequencies. The present work proposes a novel semi-active structural control method, which can effectively provide optimised control force to the main body within a multi-body system. The key point of this method is tuning the phases between the forces and motions of floating bodies. Proper tuning can neutralise the main floating body’s wave-induced motion by utilising the wave-induced motion of the auxiliary structure. The controller is developed under an optimal declutching control framework, adjusting the damping coefficients of the PTO system to provide discrete resistance to the target body. A floating semi-submersible (SS) platform equipped with a heave ring as an auxiliary structure is selected and analysed as the case study. The results demonstrate the method’s efficacy in reducing motion for floating wind turbine (FWT) platforms and its applicability to various types of multiple floating bodies. Interestingly, our optimal declutching control can “kill two birds with one stone”. It can simultaneously enhance motion reduction and increase power capture. In the current study, the proposed controller achieved a maximum motion reduction of 30% for the platform.

Functionalization of 3D-Printed Plastics for the Photocatalytic Removal of Organic Pollutants in Air

The study explored the use of 3D-printed plastics as catalyst supports for gas-phase photocatalytic applications. Specifically, it compared three commonly used plastic materials: PLA, ABS, and PETG. The process involved 3D modeling, additive manufacturing through 3D printing, and functionalization via dip-coating with titanium dioxide (TiO₂). The study evaluated the loading capacity of the materials, the adhesion of the films, and the optical properties of the photocatalytic plates. Finally, the three plastic samples were tested as support materials in a laboratory-scale flat-plate reactor for the photocatalytic oxidation of dichloromethane in air. Loading capacities of around 3 mg/cm² for TiO₂ were achieved, along with radiation absorption capacities close to 65%. A correlation between loading and absorption fraction was identified, leading to the proposal of a simple saturation model; in turn, it allowed the predictive model of pollutant conversion as a function of the absorbed fraction of radiation. By analyzing both qualitative and quantitative properties and results, in order to determine the most suitable plastic material to be used in a photocatalytic wall reactor, PLA emerged as the best choice among the materials tested. These results show promise for the effective utilization of these plastics in the design of air decontamination devices.