The role of bromeliad structural complexity on the presence, spatial distribution and predator avoidance in Tityus neglectus (Scorpiones: Buthidae).

The spatial arrangement of organisms is significantly influenced by the structure of vegetation. Bromeliads, characterized by a remarkable architectural design featuring rosette-like leaf arrangements for rainwater storage, act as habitats for various organisms. These organisms use bromeliads for shelter, foraging, reproduction and the supply of nutrients and moisture. This study investigated how specific aspects of bromeliad structure, such as the number, width and length of leaves, impact the behaviour and distribution patterns of the bromelicolous scorpion Tityus neglectus. In the examination of 110 sampled bromeliads, 33 scorpions were recorded, resulting in an occupancy rate of 30%. The likelihood of scorpion occurrence was associated with the plant's structure. The length and coefficient of variation in the width of leaves appeared as the main predictors, positively influencing scorpion presence while the number of leaves exhibited a negative relation with scorpion occurrence. The distribution of scorpions was uniform across the spatial design of bromeliads. Furthermore, T. neglectus demonstrated the ability to utilize water accumulated in the bromeliad to evade potential predators, submerging itself for, on mean, almost 8 min. We concluded that bromeliad structure is essential in shaping the distribution patterns and anti-predatory behaviour of T. neglectus.

The ticking clock in the dark: Review of biological rhythms in cave invertebrates.

Circadian clocks, internal mechanisms that generate 24-hour rhythms, play a crucial role in coordinating biological events with day-night cycles. In light-deprived environments such as caves, species, particularly isolated obligatory troglobites, may exhibit evolutionary adaptations in biological rhythms due to light exposure. To explore rhythm expression in these settings, we conducted a comprehensive literature review on invertebrate chronobiology in global subterranean ecosystems, analyzing 44 selected studies out of over 480 identified as of September 2023. These studies revealed significant taxonomic diversity, primarily among terrestrial species like Coleoptera, with research concentrated in the United States, Italy, France, Australia, and Brazil, and a notable gap in African records. Troglobite species displayed a higher incidence of aperiodic behavior, while troglophiles showed a robust association with rhythm expression. Locomotor activity was the most studied aspect (>60%). However, approximately 4% of studies lacked information on periodicity or rhythm asynchrony, and limited research under constant light conditions hindered definitive conclusions. This review underscores the need to expand chronobiological research globally, encompassing diverse geographical regions and taxa, to deepen our understanding of biological rhythms in subterranean species. Such insights are crucial for preserving the resilience of subsurface ecosystems facing threats like climate change and habitat loss.

Nigrostriatal Inflammation Is Associated with Nonmotor Symptoms in an Experimental Model of Prodromal Parkinson's Disease.

Recent evidence has supported a pathogenic role for neuroinflammation in Parkinson's disease (PD). Inflammatory response has been associated with symptoms and subtypes of PD. However, it is unclear whether immune changes are involved in the initial pathogenesis of PD, leading to the non-motor symptoms (NMS) observed in its prodromal stage. The current study aimed to characterize the behavioral and cognitive changes in a toxin-induced model of prodromal PD-like syndrome. We also sought to investigate the role of neuroinflammation in prodromal PD-related NMS. Male mice were subjected to bilateral intranasal infusion with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) or saline (control group), followed by comprehensive behavioral, pathological and neurochemical analysis. Intranasal MPTP infusion was able to cause the loss of dopaminergic neurons in the substantia nigra (SN). In parallel, it induced impairment in olfactory discrimination and social memory consolidation, compulsive and anxiety-like behaviors, but did not influence motor performance. Iba-1 and GFAP expressions were increased in the SN, suggesting an activated state of microglia and astrocytes. Consistent with this, MPTP mice had increased levels of IL-10 and IL-17A, and decreased levels of BDNF and TrkA mRNA in the SN. The striatum showed increased IL-17A, BDNF, and NFG levels compared to control mice. In conclusion, neuroinflammation may play an important role in the early stage of experimental PD-like syndrome, leading to cognitive and behavioral changes. Our results also indicate that intranasal administration of MPTP may represent a valuable mouse model for prodromal PD.

Resonant Tip-Enhanced Raman Spectroscopy of a Single-Molecule Kondo System.

Tip-enhanced Raman spectroscopy (TERS) under ultrahigh vacuum and cryogenic conditions enables exploration of the relations between the adsorption geometry, electronic state, and vibrational fingerprints of individual molecules. TERS capability of reflecting spin states in open-shell molecular configurations is yet unexplored. Here, we use the tip of a scanning probe microscope to lift a perylene-3,4,9,10-tetracarboxylic dianhydride (PTCDA) molecule from a metal surface to bring it into an open-shell spin one-half anionic state. We reveal a correlation between the appearance of a Kondo resonance in differential conductance spectroscopy and concurrent characteristic changes captured by the TERS measurements. Through a detailed investigation of various adsorbed and tip-contacted PTCDA scenarios, we infer that the Raman scattering on suspended PTCDA is resonant with a higher excited state. Theoretical simulation of the vibrational spectra enables a precise assignment of the individual TERS peaks to high-symmetry Ag modes, including the fingerprints of the observed spin state. These findings highlight the potential of TERS in capturing complex interactions between charge, spin, and photophysical properties in nanoscale molecular systems and suggest a pathway for designing single-molecule spin-optical devices.

Effects of high-intensity interval training on depressive and anxiety symptoms in healthy individuals: A systematic review and meta-analysis of randomized clinical trials.

Although evidence regarding the effects of high-intensity interval training (HIIT) on mental health has increased in recent years, there is still no consensus regarding the effects of HIIT on the symptoms of depression and anxiety in a healthy population. Therefore, this systematic review aimed to investigate the effects of HIIT on depressive and/or anxiety symptoms in healthy individuals. The following four databases were searched: PubMed, Scopus, Embase, and PsycINFO. Only randomized clinical trials (RCTs) were included. We performed a random-effects meta-analysis based on standardized mean difference (SMD). The risk of bias was assessed using the RoB 2.0 tool, and the certainty of the evidence was evaluated based on recommendations GRADE. Eight RCTs evaluating 471 participants (81% female) were considered eligible for inclusion. The results of the meta-analysis showed that HIIT-based interventions had no significant effect on reducing anxiety (SMD = -0.17; 95% CI: -0.53, 0.19; p = 0.27) and depressive symptoms (SMD = -0.38; 95% CI: -1.06, 0.30; p = 0.17) compared with the passive control group. In conclusion, HIIT does not improve symptoms of depression and anxiety in healthy individuals. This finding is based on evidence of very low certainty. Therefore, the evidence is still not consistent enough to support HIIT as a viable strategy to reduce both outcomes because of the limited number of included studies and the overall quality of evidence.

Current On-Skin Flexible Sensors, Materials, Manufacturing Approaches, and Study Trends for Health Monitoring: A Review.

Due to an ever-increasing amount of the population focusing more on their personal health, thanks to rising living standards, there is a pressing need to improve personal healthcare devices. These devices presently require laborious, time-consuming, and convoluted procedures that heavily rely on cumbersome equipment, causing discomfort and pain for the patients during invasive methods such as sample-gathering, blood sampling, and other traditional benchtop techniques. The solution lies in the development of new flexible sensors with temperature, humidity, strain, pressure, and sweat detection and monitoring capabilities, mimicking some of the sensory capabilities of the skin. In this review, a comprehensive presentation of the themes regarding flexible sensors, chosen materials, manufacturing processes, and trends was made. It was concluded that carbon-based composite materials, along with graphene and its derivates, have garnered significant interest due to their electromechanical stability, extraordinary electrical conductivity, high specific surface area, variety, and relatively low cost.

Extending beyond individual caves: a graph theory approach broadening conservation priorities in Amazon iron ore caves.

The Amazon is renowned worldwide for its biological significance, but it also harbors substantial mineral reserves. Among these, the ferruginous geosystems of the region are critical for iron ore extraction, accounting for 10% of Brazil's export revenue. Additionally, this region holds a significant speleological heritage with more than 1,000 caves. However, cave conservation efforts are often in conflict with land use, necessitating mediation through environmental regulations. While conservation decisions typically consider only the caves' characteristics, such an approach fails to account for the interactions among cave communities and their surrounding landscape. This poses a challenge to reserve design for cave conservation purposes. To address this issue, we assessed the predictors that influence the similarity among cave communities, suggesting the use of this parameter as a proxy for subterranean connectivity. Applying graph theory, we proposed a tool to aid in the selection of priority caves for conservation purposes. Our study involved the sampling of invertebrates in 69 iron ore caves and analyzing 28 environmental variables related to these subterranean habitats and adjacent landscape. Our analysis revealed that landscape and habitat characteristics are more important than geographical distance in determining patterns of similarity among caves. Our graph approach highlighted densely interconnected clusters based on similarity. However, specific caves stood out for harboring exclusive fauna and/or exhibiting habitat specificity, making them unique in the study area. Thus, we recommend prioritizing cave clusters for conservation, assembling both singular caves and others that influence them. It is crucial to note that protocols for the protection of subterranean biodiversity must consider measures that encompass both the caves and the surrounding landscape. Our methodology provides insights into the connectivity among caves, identifies existing groups, highlights singular (or unique) cavities that require preservation, and recognizes those influencing these unique habitats. This methodological advancement is crucial for the development of better conservation policies for the speleological heritage in areas under constant economic pressure.

HLAEquity: Examining biases in pan-allele peptide-HLA binding predictors.

Peptide-HLA (pHLA) binding prediction is essential in screening peptide candidates for personalized peptide vaccines. Machine learning (ML) pHLA binding prediction tools are trained on vast amounts of data and are effective in screening peptide candidates. Most ML models report the ability to generalize to HLA alleles unseen during training ("pan-allele" models). However, the use of datasets with imbalanced allele content raises concerns about biased model performance. First, we examine the data bias of two ML-based pan-allele pHLA binding predictors. We find that the pHLA datasets overrepresent alleles from geographic populations of high-income countries. Second, we show that the identified data bias is perpetuated within ML models, leading to algorithmic bias and subpar performance for alleles expressed in low-income geographic populations. We draw attention to the potential therapeutic consequences of this bias, and we challenge the use of the term "pan-allele" to describe models trained with currently available public datasets.

Single-Molecule Time-Resolved Spectroscopy in a Tunable STM Nanocavity.

Spontaneous fluorescence rates of single-molecule emitters are typically on the order of nanoseconds. However, coupling them with plasmonic nanostructures can substantially increase their fluorescence yields. The confinement between a tip and sample in a scanning tunneling microscope creates a tunable nanocavity, an ideal platform for exploring the yields and excitation decay rates of single-molecule emitters, depending on their coupling strength to the nanocavity. With such a setup, we determine the excitation lifetimes from the direct time-resolved measurements of phthalocyanine fluorescence decays, decoupled from the metal substrates by ultrathin NaCl layers. We find that when the tip is approached to single molecules, their lifetimes are reduced to the picosecond range due to the effect of coupling with the tip-sample nanocavity. On the other hand, ensembles of the adsorbed molecules measured without the nanocavity manifest nanosecond-range lifetimes. This approach overcomes the drawbacks associated with the estimation of lifetimes for single molecules from their respective emission line widths.

A new cave-dwelling species of Charinus (Amblypygi: Charinidae) from northern Brazil.

We present the description and illustration of a new species within the genus Charinus Simon, 1892, discovered in a cave located in the state of Tocantins, situated in the northern region of Brazil. Charinus tocantinensis sp. nov., can be distinguished from its congeners by the following combination of distinctive characters: pedipalp femur with four dorsal spines and four ventral spines; well-developed median eyes and median ocular tubercle; female gonopods sucker-like, slightly longer than wide, opening rounded and margins with fold with each a small posterior slit; cheliceral claw with ten denticles. In addition to the species description, we have included a key for identifying Charinus species in Brazil, along with a distribution map that highlights the known species in the country. This newly described species marks the first formal documentation of a Charinus species within the state of Tocantins. With the addition of this species, the global tally of recognized Charinus species now stands at 98, and Brazil, in particular, is home to a total of 44 formally described species within this genus.

Synopsis of the Ptiloneuropsis Roesler, 1940 (Psocodea: Psocoptera: Ptiloneuridae), with a new cave-dwelling species from Brazil.

A new cave-dwelling species of Ptiloneuropsis from southeastern Brazil, is here described based on both sexes, illustrated and named as: Ptiloneuropsis krenaki sp. nov. This new species differs from Ptiloneuropsis immaculata Roesler, 1940 and Ptiloneuropsis diamantina Silva-Neto, Garca Aldrete & Rafael, 2018 in details of the hypandrium and phallosome. In addition to the third new species of the Ptiloneuropsis, descriptions of variation in the fore and hindwings veins are also given. The diagnosis of Ptiloneuropsis is updated, and P. immaculata is redescribed. Furthermore, the first identification key for Ptiloneuropsis species, based on males, is presented.

Groundwater is a hidden global keystone ecosystem.

Groundwater is a vital ecosystem of the global water cycle, hosting unique biodiversity and providing essential services to societies. Despite being the largest unfrozen freshwater resource, in a period of depletion by extraction and pollution, groundwater environments have been repeatedly overlooked in global biodiversity conservation agendas. Disregarding the importance of groundwater as an ecosystem ignores its critical role in preserving surface biomes. To foster timely global conservation of groundwater, we propose elevating the concept of keystone species into the realm of ecosystems, claiming groundwater as a keystone ecosystem that influences the integrity of many dependent ecosystems. Our global analysis shows that over half of land surface areas (52.6%) has a medium-to-high interaction with groundwater, reaching up to 74.9% when deserts and high mountains are excluded. We postulate that the intrinsic transboundary features of groundwater are critical for shifting perspectives towards more holistic approaches in aquatic ecology and beyond. Furthermore, we propose eight key themes to develop a science-policy integrated groundwater conservation agenda. Given ecosystems above and below the ground intersect at many levels, considering groundwater as an essential component of planetary health is pivotal to reduce biodiversity loss and buffer against climate change.

Hurdles in translating science from lab to market in delivery systems for Cosmetics: An industrial perspective.

In recent decades, a sweeping technological wave has reshaped the global economic landscape. Fueled by the unceasing forces of digital innovation and venture capital investment, this transformative machine has left a significant mark across numerous economic sectors. More recently, the emergence of 'deep tech' start-ups, focusing on areas such as artificial intelligence, nanotechnology, and biotechnology, has infused a fresh wave of innovation into various sectors, including the pharmaceutical and cosmetic industry. This review explores the significance of innovation within the cosmetics sector, with a particular emphasis on delivery systems. It assesses the crucial process of bridging the gap between research and the market, particularly in the translation of nanotechnology into tangible real-world applications. With the rise of nanotechnology-based beauty ingredients, we can anticipate groundbreaking advancements that promise to surpass consumer expectations, ushering in a new era of unparalleled innovation in beauty products.

Ketamine and Dexmedetomidine Combination for the Management of the Pediatric Difficult Airway.

The pediatric difficult airway is a challenge for the anesthesiologist. In this article, we describe a case where ketamine and dexmedetomidine were used to approach a difficult airway in a five-month-old patient with a palatal teratoma. These two drugs have complementary effects, because of which they can be used to maintain ventilation without compromising airway reflexes and are suitable for the management of pediatric difficult airways.

Unexpected Presentation of Tracheoesophageal Fistula During Intubation in a Pediatric Patient.

Tracheoesophageal fistula (TEF) is an abnormal connection between the trachea and esophagus. This report presents a rare case of a pediatric patient who developed a TEF due to battery ingestion, which was diagnosed during intubation and resulted in cardiac arrest. A 4-year-old child with a two-year history of battery ingestion presented with severe dehydration, weight loss, and recurrent respiratory tract infections. Chest X-ray revealed a radiopaque foreign body in the esophagus. During general anesthesia for central venous line insertion and after endotracheal intubation, some difficulties in ventilation occurred, characterized by the inability to reach tidal volume, absence of capnography, and stomach distention which led to hypoxia and ultimately to cardiac arrest. Prompt resuscitation (CPR) was initiated, and selective right bronchial intubation during CPR improved the patient's condition. Subsequent bronchofibroscopy performed in the ICU confirmed the TEF, which was surgically corrected during the hospital stay. TEF poses challenges in anesthesia and airway management, particularly when positive pressure ventilation is used. In this case, the TEF was diagnosed during intubation, highlighting the critical role of clinical expertise and prompt intervention in managing this unexpected pediatric critical event.

Weight-drop model as a valuable tool to study potential neurobiological processes underlying behavioral and cognitive changes secondary to mild traumatic brain injury.

The pathophysiology of post-traumatic brain injury (TBI) behavioral and cognitive changes is not fully understood, especially in its mild presentation. We designed a weight drop TBI model in mice to investigate the role of neuroinflammation in behavioral and cognitive sequelae following mild TBI. C57BL/6 mice displayed depressive-like behavior at 72 h after mild TBI compared with controls, as indicated by a decrease in the latency to first immobility and climbing time in the forced swim test. Additionally, anxiety-like behavior and hippocampal-associated spatial learning and memory impairment were found in the elevated plus maze and in the Barnes maze, respectively. Levels of a set of inflammatory mediators and neurotrophic factors were analyzed at 6 h, 24 h, 72 h, and 30 days after injury in ipsilateral and contralateral hemispheres of the prefrontal cortex and hippocampus. Principal components analysis revealed two principal components (PC), which represented 59.1% of data variability. PC1 (cytokines and chemokines) expression varied between both hemispheres, while PC2 (neurotrophic factors) expression varied only across the investigated brain areas. Our model reproduces mild TBI-associated clinical signs and pathological features and might be a valuable tool to broaden the knowledge regarding mild TBI pathophysiology as well as to test potential therapeutic targets.

Prevalence of and Factors Associated With High Blood Pressure at 15 Years of Age: A Birth Cohort Study.

BACKGROUND: Arterial hypertension is the greatest cause of morbidity and mortality worldwide. Our aim was to investigate the prevalence of and factors associated with high blood pressure (HBP) among adolescents. METHODS AND RESULTS: The Pelotas 2004 Birth Cohort included 4231 newborns from hospital births in Pelotas, Brazil. A digital automatic OMRON sphygmomanometer (model HEM 742) was used to measure blood pressure on 3 occasions (at 6, 11, and 15 years of age). Those with blood pressure ≥95th percentile for age, height, and sex on each of the 3 occasions were considered as presenting HBP. Independent variables included family (income and history of arterial hypertension), maternal (schooling, age, pregestational body mass index, and smoking during pregnancy), and adolescent characteristics at birth (sex, skin color, gestational age, intrauterine growth, and systolic and diastolic genetic factors), and at 15 years (sleep, physical activity, sodium intake, screen time, work, body mass index, fat mass index, fat-free mass index, growth pattern, and puberty status). The prevalence of HBP (95% CI) was calculated. Crude and adjusted odds ratios (ORs) stratified by sex were obtained by logistic regression. A total of 1417 adolescents with complete information on blood pressure on the 3 occasions were analyzed. The prevalence of HBP was 3.2% (95% CI, 1.9%-4.5%) in female adolescents and 4.3% (95% CI, 2.8%-5.8%) in male adolescents. Female adolescents with a family history of arterial hypertension had a 3 times higher chance of HBP than their counterparts (OR, 3.1 [95% CI, 1.26-7.54]). In male adolescents, excessive maternal pregestational weight was associated with a 2.3-fold increase in the chance of HBP. In both sexes, excessive adolescent weight was associated with HBP (ORs, 3.5 and 5.0, for female and male adolescents, respectively). A higher fat mass index and fat-free mass index in female (ORs, 1.4 and 1.2, respectively) and male adolescents (ORs, 2.5 and 3.0, respectively) increased the chance of HBP. Among male adolescents, the chance of HBP was higher among those with rapid weight gain between 48 months and 6 years and between 6 and 11 years and rapid height gain between 6 and 11 years. CONCLUSIONS: Higher fat mass in both sexes and rapid weight gain in male adolescents are risk factors for HBP in adolescents aged 15 years, potentially amenable to prevention.

Correction: Academic global surgical competencies: A modified Delphi consensus study.

[This corrects the article DOI: 10.1371/journal.pgph.0002102.].

How natural and anthropogenic factors should drive microplastic behavior and fate: The scenario of Brazilian urban freshwater.

Brazil maintains its position at the top of the global ranking of plastic producers, yet recycling efforts have been incipient. Recent data reveals an annual production of approximately 14 million tons of plastic waste, not accounting for the surge in the usage of plastic masks and related materials due to the COVID-19 pandemic. However, what remains largely unreported is that over half of post-consumer plastic packaging in Brazil is managed without any monitoring, and it remains unclear how this will contribute to the occurrence of plastic waste and microplastics in Brazilian freshwaters. This scenario requires the consideration of several other crucial factors. Studies have been carried out mainly in marine and estuarine waters, while data on freshwaters are lacking. Brazil has continental dimensions and the highest water availability on the planet, yet the demand for water is greatest in regions with medium to low supply. Many densely populated Brazilian urban areas face chronic flood problems, possess inadequate levels of wastewater treatment, and display inadequate solid waste management practices. Consequently, urban freshwater with tropical characteristics in Brazil presents an intriguing scenario and is complementary to the most commonly studied marine environments. In this study, we explore the nuances of pollution in Brazilian urban freshwater and discuss how various parameters, such as organic matter, suspended solids, temperature, and pH, among others, influence the behavior of microplastics and their interactions with organic and inorganic contaminants. Furthermore, we address how microplastic conditions, such as biofouling, the type of plastic, or degradation level, may impact their behavior. By analyzing how these conditions change, we propose priority themes for investigating the occurrence of microplastics in Brazilian urban freshwater systems under different degrees of human impact. Ultimately, this study aims to establish a network dedicated to standardized monitoring of microplastic pollution in Brazilian urban freshwaters.