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Multiparameter analysis of small non-flying mammals’ response to forest restoration post-bauxite mining in eastern Amazonia
Bauxite mining has been caused severe changes in the natural ecosystems of the Amazon, but the restoration of these areas is mandatory by federal law in Brazil. The recolonization of fauna is crucial to establishing the ecological functions of recovering forests, and the small nonflying mammals can stand out in this process. Assessing taxonomic and functional diversity parameters, we demonstrated that in the early stages of forest recovery post-bauxite mining, between 6 and 11 years, it is possible to restore approximately 45% of the richness of small non-flying mammal species from the original habitats, that in this case were altered Primary Forests. However, the species richness parameter alone does not reflect the recovery of taxonomic or functional diversity at this stage of forest succession. Although 34.8% of the species composition is shared between the Altered Primary Forest and Forest Areas in Restoration, the abundance distribution per species is less balanced in the latter habitat. The areas did not exhibit significant difference between the functional divergence and functional evenness of ecological functions performed by small nonflying mammals; however, they present differences in terms of the functional richness. We also observed that some functional traits of species, such as larger body mass, are more closely related to the structural characteristics of the Primary Forest, such as high basal area values, litter and percentage forest cover. In the forest recovery areas, we observed a predominance of terrestrial species and those with granivorous and insectivorous diets. Furthermore, our results highlight the importance of applying different taxonomic and functional diversity parameters to understand better the fauna recovery patterns in degraded areas undergoing restoration.
Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993–2019
High trade costs pose substantial barriers to the process of trade liberalization. This study aims to measure trade costs and explore the driving forces behind the growth of bilateral trade between Cambodia and its top 30 trading partners from 1993 to 2019. Using a micro-founded measure of trade costs derived from the gravity model, we find that Cambodia’s average trade costs decreased by 35.43 percent between 1993 and 2019. Fluctuations in average trade costs persisted until 2014, despite Cambodia’s accession to the World Trade Organization (WTO) in 2004. Since then, these costs have declined more rapidly. Cambodia’s bilateral trade costs are lower with its major trading partners in Southeast Asia and East Asia than with those in South Asia, Oceania, Europe, and North America. Cambodia’s average trade costs with developing and emerging economies are lower than those with developed economies. Between 2014 and 2019, Cambodia experienced a notable decline in average trade costs with trading partners along the Belt and Road Initiative (BRI) corridors by 34.78 percent, twice as fast as with non-BRI trading partners. Regarding the decomposition of trade growth, we find that the expansion of Cambodian trade over the period from 1993 to 2019 was driven by three factors: the rise in income (59.65 percent), the decline in trade costs (56.69 percent), and the decline in multilateral resistance (–16.34 percent). The findings of this study have significant implications for a better understanding of Cambodia’s development process toward global trade integration over the past two decades. Our results suggest that Cambodia can optimize its trade expansion potential by focusing on its relations with trading partners exhibiting high economic growth potential and those showing substantial reductions in trade costs.
Individual-specific strategies inform category learning
A remote monitoring approach for coastal engineering projects
Determining interaction directionality in complex biochemical networks from stationary measurements
Abstract Revealing interactions in complex systems from observed collective dynamics constitutes a fundamental inverse problem in science. Some methods may reveal undirected network topology, e.g., using node-node correlation. Yet, the direction of the interaction, thus a causal inference, remains to be determined - especially in steady-state observations. We introduce a method to infer the directionality within this network only from a “snapshot” of the abundances of the relevant molecules. We examine the validity of the approach for different properties of the system and the data recorded, such as the molecule’s level variability, the effect of sampling and measurement errors. Simulations suggest that the given approach successfully infer the reaction rates in various cases.
Jinbei oral liquid for idiopathic pulmonary fibrosis: a randomized placebo-controlled trial
Dynamic analysis and optimal control of a hybrid fractional monkeypox disease model in terms of external factors
Bidirectional histone monoaminylation dynamics regulate neural rhythmicity
Abstract Histone H3 monoaminylations at Gln5 represent an important family of epigenetic marks in brain that have critical roles in permissive gene expression1–3. We previously demonstrated that serotonylation4–10 and dopaminylation9,11–13 of Gln5 of histone H3 (H3Q5ser and H3Q5dop, respectively) are catalysed by transglutaminase 2 (TG2), and alter both local and global chromatin states. Here we found that TG2 additionally functions as an eraser and exchanger of H3 monoaminylations, including H3Q5 histaminylation (H3Q5his), which displays diurnally rhythmic expression in brain and contributes to circadian gene expression and behaviour. We found that H3Q5his, in contrast to H3Q5ser, inhibits the binding of WDR5, a core member of histone H3 Lys4 (H3K4) methyltransferase complexes, thereby antagonizing methyltransferase activities on H3K4. Taken together, these data elucidate a mechanism through which a single chromatin regulatory enzyme has the ability to sense chemical microenvironments to affect the epigenetic states of cells, the dynamics of which have critical roles in the regulation of neural rhythmicity.
Topographic and morphometric characterization of the humerii nutrient foramina and their implications for fracture repair and healing
Boosting the mechanical performance and fire resistivity of white ordinary portland cement pastes via biogenic mesoporous silica nanoparticles
Abstract This study investigates how biogenic mesoporous silica nanoparticles (MS-NPs) extracted from rice straw residues, a sustainable and economical bio-source, affect White Ordinary Portland Cement (WOPC) paste performance. A comprehensive investigation using varied fractions of 0.25, 0.50, 0.75, and 1.0% MS-NPs as an additive to WOPC was conducted to analyze the physicomechanical characteristics of WOPC-MS hardened composites, including compressive strength, fire resistance, and water demand. The beneficial impact of biogenic MS-NPS was verified by X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and differential thermo-gravimetric analysis (TGA/DTG) methods, revealing several hydration products such as calcium silicate hydrates (CSHs), calcium ferrosilicate hydrates (CFSHs), and calcium aluminosilicate hydrates (CASHs). These products enhance the overall physical and mechanical properties and the thermal stability of hardened WOPC-MS. The composite comprising WOPC-0.75 MS provides numerous advantages from both an economic and environmental perspective.
A foundation model of transcription across human cell types
Tick-borne encephalitis vaccine uptake, effectiveness, and impact in Sweden from 2018 to 2022
Altered olfactory responses in Fmr1 KO mice
Abstract Fragile X syndrome (FXS) is a neurodevelopmental disorder oftentimes associated with abnormal social behaviors and altered sensory responsiveness. It is hypothesized that the inappropriate filtering of sensory stimuli, including olfaction, can lead to aberrant social behavior in FXS. However, previous studies investigating olfaction in animal models of FXS have shown inconsistent results. Here, we found that Fmr1 knock-out (KO) mice, a mouse model of FXS, showed increased sniffing duration for non-social odors during their first exposure. Additionally, while wild-type (WT) males demonstrated differences in behavioral patterns between non-social odors while Fmr1 KO males did not show such distinction. We also showed that Fmr1 KO males spent significantly less time sniffing female urine odor compared to WT males. Moreover, we found an increased volume of the olfactory bulb in Fmr1 KO males. Overall, our findings suggest that the Fmr1 KO mice demonstrate atypical olfactory behaviors as well as structural changes in the olfactory bulb.
QbD-Driven preparation, characterization, and pharmacokinetic investigation of daidzein-l oaded nano-cargos of hydroxyapatite
Influence of surfactant type on the microstructure, mechanical and thermal properties of phenolic foams
Trends, global comparisons, and projections of early onset colorectal cancer burden in China based on GBD study 2021
Electrochemical insights into the direct dissolution of impure sphalerites and their partial oxidation in an acidic environment
Photon-counting-detector CT outperforms state-of-the-art cone-beam and energy-integrated-detector CT in delineation of dental root canals
Abstract This experimental phantom study investigates current standard of care protocols in cone beam computed tomography (CBCT), energy-integrating-detector (EID) CT, and photon-counting-detector (PCD) CT regarding their potential in delineation of dental root canals. Artificial accessory canals (diameters: 1000, 600, 400, 300 and 200 μm) were drilled into three bovine teeth mounted on a bovine rib as a jaw substitute. The phantom was scanned in two dental CBCTs, two EID-CTs and a PCD-CT using standard clinical protocols. Scans from a micro-CT served as reference standard. Spatial resolution was evaluated via line profiles through the canals, whereby visibility compared to surrounding noise and compared to the ground truth were assessed. PCD-CT was able to delineate all artificial canals down to 200 μm diameter. In CBCT and EID-CT canals could only be reliably detected down to 300 μm. Also, PCD-CT showed a considerably smaller width-divergence from the ground trough with 4.4% at 1000 μm and 35.1% at 300 μm compared to CBCT (13.5 and 72.9%) and EID-CT (10.1 and 115.7%). PCD-CT provided superior resolution, accurate size measurement, and enhanced detection of small dental root canals, thereby offering improvements in diagnostic capabilities compared to CBCT and EID-CT systems.
Long-term effects of SARS-CoV-2 infection and vaccination in a population-based pediatric cohort
Abstract During the omicron wave of the COVID-19 pandemic and with SARS-CoV-2 vaccines becoming available, seroprevalence rates rose in children and adolescents. This study investigated the impact of both SARS-CoV-2 infections and vaccinations on the incidence of acute and prolonged symptoms in real-world conditions during the transition from the pandemic to the endemic phase. Participants from a pediatric population based seroprevalence study (CorKID study) were followed up at least two and for almost four years by survey of health status features and symptoms suggestive of post-COVID syndrome (PCS). In a subgroup (n = 259) SARS-CoV-2 antibody serology was further investigated. 789 participants of the original CorKID study cohort (n = 2.121; 37.2%) were included. 67.9% reported at least one SARS-CoV2 infection. 46.6% had received one or more SARS-CoV-2 vaccinations. In the vast majority of serologically tested participants antibodies again SARS-CoV-2 spike (98.9%) or nucleocapsid (93.3%) antigen were detected following infection and/or vaccination. At least 30% experienced one unrecognized SARS-CoV-2 infection. The overall health status was comparable between children, irrespective of SARS-CoV-2 infections and similar to pre-pandemic assessment. However, a subset of young adolescents exhibited a decline in physical performance compared to pre-pandemic conditions. After infection, PCS-like symptoms persisted in 7% of the respondents for more than three months and up to four years. SARS-CoV-2 vaccinated participants (47%) reported 12% less acute flu-like infections other than SARS-CoV-2. Nearly all participants developed SARS-CoV-2 antibodies in this longitudinal study through either vaccination or infection during the Omicron wave. About 7% of participants suffered from PCS symptoms, predominately fatigue and exhaustion. Furthermore, participants who received vaccinations against SARS-CoV-2 reported a lower frequency of acute infections during follow-up.