New insight into enhanced permanganate oxidation by lignocellulose-derived biochar: The overlooked role of persistent free radicals.

Permanganate (Mn(VII)) is a traditional reagent used for water purification, but it is mild to deal with refractory organic contaminants of emerging concern. There is great interest in combination with effective and low-cost biochar to improve reaction kinetics of Mn(VII). Until recently, it still unclear how biomass composition and carbon structure of biochar influence the Mn(VII) oxidation performance.

Additional analyses of stem catarrhine and hominoid dental morphology support Kapi ramnagarensis as a stem hylobatid.

Fossil gibbons are exceedingly rare, with much of the hylobatid fossil record and, consequently, hylobatid evolutionary history remaining unknown. Kapi ramnagarensis was described as a stem hylobatid on the basis of an isolated lower right M from ∼13.0-12.

Prognostic significance of serum complement activation, neutrophil extracellular traps and extracellular DNA in newly diagnosed epithelial ovarian cancer.

Purpose: We observed that the tumor microenvironment (TME) in metastatic epithelial ovarian cancer (EOC) and in other solid tumors can reprogram normal neutrophils to acquire a complement-dependent suppressor phenotype characterized by inhibition of stimulated T cell activation. This study aims to evaluate whether serum markers of neutrophil activation and complement at diagnosis of EOC would be associated with clinical outcomes.

Experimental Design: We conducted a two-center prospective study of patients with newly diagnosed EOC (N = 188).

Incorporating immune checkpoint inhibitors in epithelial ovarian cancer.

Objective: Therapeutic interventions for epithelial ovarian cancer (EOC) have increased greatly over the last decade but improvements outside of biomarker selected therapies have been limited. There remains a pressing need for more effective treatment options that can prolong survival and enhance the quality of life of patients with EOC. In contrast to the significant benefits of immunotherapy with immune checkpoint inhibitors (CPI) seen in many solid tumors, initial experience in EOC suggests limited efficacy of CPIs monotherapy.

Preeclampsia and eclampsia: Enhanced detection and treatment for morbidity reduction.

Preeclampsia is a life-threatening complication that develops in 2-8% of pregnancies. It is characterized by elevated blood pressure after 20 weeks of gestation and may progress to multiorgan dysfunction, leading to severe maternal and fetal morbidity and mortality. The only definitive treatment is delivery, and efforts are focused on early risk prediction, surveillance, and severity mitigation.

Postpartum hemorrhage assessment and targeted treatment.

Postpartum hemorrhage (PPH) is the leading cause of maternal mortality worldwide, and mitigating it is a global health priority. In this review, we discuss the measurement, assessment, and treatment of PPH. We review different methods of quantifying blood loss, including gravimetry, calibrated drapes and canisters, and colorimetric techniques.

Uterotonics update.

Uterotonics are the mainstay of management for postpartum haemorrhage and an understanding of their use is essential for the obstetric anaesthetist. First-line uterotonics comprise oxytocin and carbetocin, which act on the oxytocin receptor, and recent research has shown that lower doses of first-line uterotonics can be used to adequate effect. The oxytocin receptor is known to undergo desensitisation with exposure to the agonist over time and with increasing concentrations.

Epidemiology, trends, and disparities in maternal mortality: A framework for obstetric anesthesiologists.

Since 2015, reductions in maternal mortality have stalled globally. In some parts of the world, severe maternal morbidity and mortality have increased, and most cases are thought to be from preventable causes. This is further exacerbated by significant racial, ethnic, and geographic disparities in maternal health outcomes, particularly among countries with diverse populations.

Neurodevelopmental outcomes in children exposed in utero to dolutegravir- or efavirenz-based ART.

Objective: To examine the impact of in utero exposure to dolutegravir (DTG)- or efavirenz (EFV)-based antiretroviral treatment (ART) on child neurodevelopmental (ND) outcomes.

Design: Prospective cohort design, enrolling 3 cohorts of 2-year-olds: children HIV-negative born to mothers with HIV (CHEU) receiving either DTG-based or EFV-based 3-drug ART during pregnancy, and children born to mothers without HIV (CHUU).

Methods: Primary child ND outcomes were assessed using the Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III) and compared between cohorts using generalized estimating equation models adjusted for confounders.

Estimation of Central Aortic Pressure Waveforms by Combination of a Meta-Learning Neural Network and a Physics-Driven Method.

The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the accuracy and practicality of current estimation methods need to be improved. Our study combines a meta-learning neural network and a physics-driven method to accurately estimate CAPW based on personalized physiological indicators.

Deciphering the Radial Ligand Effect of Biomimetic Amino Acid toward Stable Alkaline Oxygen Evolution.

Mismatched electron and proton transport rates impede the manifestation of effective performance of the electrocatalytic oxygen evolution reaction (OER), thereby limiting its industrial applications. Inspired by the natural protein cluster in PS-II, different organic-inorganic hybrid electrocatalysts were synthesized via a hydrothermal method. -Toluidine (PT), benzoic acid (BA), and -aminobenzoic acid (PABA) were successfully intercalated into NiFe-LDH.

Electrolyte chemistry towards ultra-high voltage (4.7 V) and ultra-wide temperature (-30 to 70 °C) LiCoO2 batteries.

LiCoO2 batteries for 3C electronics demand high charging voltage and wide operating temperature range, which are virtually impossible for existing electrolytes due to aggravated interfacial parasitic reactions and sluggish kinetics. Herein, we report an electrolyte design strategy based on a partially fluorinated ester solvent (i.e.

High prevalence of reverse transcriptase inhibitors associated resistance mutations among people living with HIV on dolutegravir-based antiretroviral therapy in Francistown, Botswana.

Objectives: We assessed HIV-1 drug resistance profiles among people living with HIV (PLWH) with detectable viral load (VL) and on dolutegravir-based antiretroviral therapy (ART) in Botswana.

Methods: The study utilised available 100 residual HIV-1 VL samples from unique PLWH in Francistown who had viraemia at-least 6 months after initiating ART in Botswana's national ART program from November 2023 to January 2024. Viraemia was categorized as low-level viraemia (LLV) (VL: 200-999 copies/mL) or virologic failure (VF) (VL ≥1000 copies/mL).

Building a teaching method for "clinical molecular biology testing technology" guided by the cultivation of thinking skills.

The knowledge of "clinical molecular biology testing technology" is complex, conceptual expressions are abstract and difficult to understand, and the student's interest in learning is low. This study aimed to evaluate the effectiveness of a cyclic teaching method based on case analysis combined with an exploratory teaching method using mind mapping as an assignment. Students from the 2019 cohort of medical laboratory technology at Hunan University of Chinese Medicine served as the control group and received conventional lecture-based teaching methods.

STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model.

Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.

Impartial Intergenerational Beneficence: The Psychology of Feeling (Equal) Intergenerational Concern for All Future Generations.

Across a series of eight high-powered studies ( = 6,866), we develop a method for assessing impartial intergenerational beneficence, defined as intergenerational concern for all possible future generations. Across our studies, roughly 20% of participants displayed impartial intergenerational beneficence. Participants with impartial intergenerational beneficence expressed greater perceptions that future threats can be resolved, support for policies seeking to protect future generations of people, and a profound sense of responsibility for the long-term survival and prosperity of humanity.

Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.

Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).

Characterization of 3,3'-iminodipropionitrile (IDPN) damaged utricle transcriptome in the adult mouse utricle.

Utricle is an important vestibular sensory organ for maintaining balance. 3,3'-iminodipropionitrile (IDPN), a prototype nitrile toxin, has been reported to be neurotoxic and vestibulotoxic, and can be used to establish an damage model of vestibular dysfunction. However, the mechanism of utricular HCs damage caused by IDPN is unclear.

Insulator-donor electron wavefunction coupling in pseudo-bilayer organic solar cells achieving a certificated efficiency of 19.18.

The incorporation of polymeric insulators has led to notable achievements in the field of organic semiconductors. By altering the blending concentration, polymeric insulators exhibit extensive capabilities in regulating molecular configuration, film crystallinity, and mitigation of defect states. However, current research suggests that the improvement in such physical properties is primarily attributed to the enhancement of thin film morphology, an outcome that seems to be an inevitable consequence of incorporating insulators.

Extremely low lattice thermal conductivity in light-element solid materials.

Lattice thermal conductivity ( ) is of great importance in basic sciences and in energy conversion applications. However, low- crystalline materials have only been obtained from heavy elements, which typically exhibit poor stability and possible toxicity. Thus, low- materials composed of light elements should be explored.

Unlocking new possibilities in ionic thermoelectric materials: a machine learning perspective.

The high thermopower of ionic thermoelectric (-TE) materials holds promise for miniaturized waste-heat recovery devices and thermal sensors. However, progress is hampered by laborious trial-and-error experimentations, which lack theoretical underpinning. Herein, by introducing the simplified molecular-input line-entry system, we have addressed the challenge posed by the inconsistency of -TE material types, and present a machine learning model that evaluates the Seebeck coefficient with an of 0.

A butterfly-shaped acceptor with rigid skeleton and unique assembly enables both efficient organic photovoltaics and high-speed organic photodetectors.

It remains challenging to design efficient bifunctional semiconductor materials in organic photovoltaic and photodetector devices. Here, we report a butterfly-shaped molecule, named WD-6, which exhibits low energy disorder and small reorganization energy due to its enhanced molecular rigidity and unique assembly with strong intermolecular interaction. The binary photovoltaic device based on PM6:WD-6 achieved an efficiency of 18.