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Quantitative EEG features for the prediction of short-term neuromotor development outcome in premature neonates
Post-Synthetic Transformation of High Entropy Alloy Nanoparticles into High-Entropy Intermetallics for Selective Acetylene Semi-Hydrogenation Catalysis
Novel melasma therapy using combined low fluence and microsecond pulse Q switched 1064 nm neodymium doped yttrium aluminium garnet laser
Vulnerability of female dentists to workplace violence
Abstract Workplace violence is a significant public health issue, particularly affecting female healthcare professionals. This cross-sectional study aimed to assess the vulnerability of female dentists in São Paulo, Brazil, to workplace violence. A sample of 165 female dentists participated by responding to a structured digital questionnaire. The findings revealed that approximately 55% of the respondents had experienced some form of violence, with verbal and psychological abuse being the most common. Intimidation and stalking by patients or their companions were significant predictors of such incidents, increasing the likelihood of exposure by 16-fold (p < 0.001) and 3-fold (p = 0.001), respectively. Dentists in public healthcare services and those assisted by clinical staff were more frequently exposed to workplace violence. Among the respondents, 28% sought help, with psychological treatment being the most utilized form of support (p < 0.001), especially among less experienced professionals (p = 0.034). Although certain environmental and professional variables, such as working alone or during night shifts, did not reach statistical significance, they remained important factors for risk assessment. The results highlight the intimate nature of dental practice as a potential vulnerability factor, particularly due to the prolonged close contact with patients and their companions. This study underscores the importance of implementing preventive and protective strategies, including digital monitoring tools and institutional support, and advocates for accessible mental health resources to help mitigate the impact of workplace violence on female dentists.
A Chemoproteomic Approach for System-Wide and Site-Specific Uncovering of Functional Protein N-Glycosylation
Efficient secretion of a plastic degrading enzyme from the green algae Chlamydomonas reinhardtii
Abstract Plastic pollution has become a global crisis, with microplastics contaminating every environment on the planet, including our food, water, and even our bodies. In response, there is a growing interest in developing plastics that biodegrade naturally, thus avoiding the creation of persistent microplastics. As a mechanism to increase the rate of polyester plastic degradation, we examined the potential of using the green microalga Chlamydomonas reinhardtii for the expression and secretion of PHL7, an enzyme that breaks down post-consumer polyethylene terephthalate (PET) plastics. We engineered C. reinhardtii to secrete active PHL7 enzyme and selected strains showing robust expression, by using agar plates containing a polyester polyurethane (PU) dispersion as an efficient screening tool. This method demonstrated the enzyme’s efficacy in degrading ester bond-containing plastics, such as PET and bio-based polyurethanes, and highlights the potential for microalgae to be implemented in environmental biotechnology. The effectiveness of algal-expressed PHL7 in degrading plastics was shown by incubating PET with the supernatant from engineered strains, resulting in substantial plastic degradation, confirmed by mass spectrometry analysis of terephthalic acid formation from PET. Our findings demonstrate the feasibility of polyester plastic recycling using microalgae to produce plastic-degrading enzymes. This eco-friendly approach can support global efforts toward eliminating plastic in our environment, and aligns with the pursuit of low-carbon materials, as these engineered algae can also produce plastic monomer precursors. Finally, this data demonstrates C. reinhardtii capabilities for recombinant enzyme production and secretion, offering a “green” alternative to traditional industrial enzyme production methods.
Coprecipitated Enzyme-Encapsulated Covalent Organic Frameworks for Biocatalysis
Predicting the prognosis of breast cancer patients by using pan-immune-inflammation value: a systematic review and meta-analysis
Macroscopic Homochiral Twist Enables Continuous In Situ Rotational Movement in Photomechanical Assemblies
Obstructive sleep apnea is ralated to metabolic dysfunction associated steatotic liver disease in type 2 diabetes mellitus
Imaging and Tailoring Chemical Evolution Kinetics of (0001) Facet on Single β-Co(OH)<sub>2</sub> Nanoplates for the Electrocatalytic Oxygen Evolution Reaction
Impact of Egyptian and Saudi Ziziphus spina-christi L. (Sidr) pulp incorporation on the nutritional, functional, and sensory properties of protein bars
Nature of the Active Sites and Reaction Mechanism during Methanol Steam Reforming over Cu/ZnO: An Isotopic Modulated Excitation Diffuse Reflectance Infrared Fourier Transform Spectroscopy Study
Radiation exposure reduction in peripheral interventions using digital variance angiography versus conventional angiography
Abstract Digital variance angiography (DVA) exhibits promising prospects with respect to radiation exposure in digital subtraction angiography (DSA). This study aimed to determine the reduction of radiation dose in endovascular peripheral interventions (EPI) using DVA. The DVA imaging tool v6.0 (Kinepict Medical Imaging Tool, version 6.0.4, Kinepict Health Ltd., Budapest, Hungary) was utilized for patients undergoing EPI using digital angiography. EPI normal dose (EPI-ND) protocols were adapted from 1.20 to 0.81 µGy/frame to EPI low dose (EPI-LD) protocols using DVA-LD acquisitions with 0.36 µGy/frame and occasionally 0.24 µGy/frame based on specific examination requirements. The dose area product (DAP) was evaluated and contrast-to-noise ratio (CNR) was measured for each DSA acquisition. Evaluation included 370 EPI-ND and 62 EPI-LD using DVA-LD of three lower extremity regions (mean age: 73 ± 11 years, 67% male). LD protocols decreased median DAP of ND protocols significantly by 62.0% in pelvic, 53.8% in femoral and popliteal, and 59.4% in cruro-pedal regions, respectively (p < .005). DVA-LD increased median CNR significantly compared to DSA-LD (p < .001), and was equal to DSA-ND (p > .15). Image quality was enhanced by CNRDVA−LD/CNRDSA−ND ratio of 1.9 in pelvic, 2.4 in femoral and popliteal and in cruro-pedal regions. DVA reveals significant radiation dose reduction in lower extremity EPIs and enhances image contrast while decreasing noise.
Nitrogen-Rich Porous-Conjugated Framework for Efficient Capture and Electroreduction of Simulated Flue Gas in Acidic Electrolyte
Determining the origin of genome aberrations improves the positive predictive value of NIPT for 22q11.2 deletion syndrome
Self-Protection Mechanism and Mass Transport Governing O<sub>2</sub> Tolerance in an Iron Porphyrin Homogeneous Catalyst for CO<sub>2</sub> Electroreduction
Life history traits explain the intra-seasonal abundance pattern of rare land snail species Vertigo moulinsiana: bridging the theory-application gap
Abstract Vertigo moulinsiana , a rare and vulnerable land snail species, faces increasing threats from climate change, particularly due to the loss of snow cover and its associated thermal buffering effects. In this study, we develop a population dynamics model to explore how life history traits, including overwintering strategies and seasonal reproduction, shape the intra-seasonal abundance patterns of V. moulinsiana . Using empirical data and simulated snow cover disappearance scenarios, we demonstrate the critical role of snow as an insulating layer that maintains stable subnivium (a microhabitat located at the interface between the snowpack and the ground) conditions. Without this layer, populations experience significant declines due to increased exposure to freezing temperatures and heightened mortality during snowless winters. Our findings highlight the vulnerability of V. moulinsiana to extreme winter conditions and emphasize the importance of integrating life history traits into ecological models. These insights provide a practical framework for conservation by identifying critical periods of vulnerability and habitat features (e.g., subnivium-like refugia) that can buffer populations against climate extremes and should be prioritized in management planning. The model is parameterized and validated using empirical data previously collected by the authors, offering a novel synthesis of life history and physiological traits in a predictive population framework.