Advancements in Cancer Treatment: Harnessing the Synergistic Potential of Graphene-Based Nanomaterials in Combination Therapy.

Combination therapy, which involves using multiple therapeutic modalities simultaneously or sequentially, has become a cornerstone of modern cancer treatment. Graphene-based nanomaterials (GBNs) have emerged as versatile platforms for drug delivery, gene therapy, and photothermal therapy. These materials enable a synergistic approach, improving the efficacy of treatments while reducing side effects.

From Self-Assembly to Drug Delivery: Understanding and Exploring Protein Fibrils.

It is crucial to comprehend protein misfolding and aggregation in the domains of biomedicine, pharmaceuticals, and proteins. Amyloid fibrils are formed when proteins misfold and assemble, resulting in the debilitating illness known as "amyloidosis". This work investigates lysozyme fibrillation with pluronics (F68 and F127).

Two-Dimensional Materials for Brain-Inspired Computing Hardware.

Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware is leading to unsustainable energy consumption. Neuromorphic hardware based on electronic devices mimicking biological systems is emerging as a low-energy alternative, although further progress requires materials that can mimic biological function while maintaining scalability and speed.

The nanoscale organization of the Nipah virus fusion protein informs new membrane fusion mechanisms.

Paramyxovirus membrane fusion requires an attachment protein for receptor binding and a fusion protein for membrane fusion triggering. Nipah virus (NiV) attachment protein (G) binds to ephrinB2 or -B3 receptors, and fusion protein (F) mediates membrane fusion. NiV-F is a class I fusion protein and is activated by endosomal cleavage.

Path integral Monte Carlo in a discrete variable representation with Gibbs sampling: Dipolar planar rotor chain.

In this work, we propose a path integral Monte Carlo approach based on discretized continuous degrees of freedom and rejection-free Gibbs sampling. The ground state properties of a chain of planar rotors with dipole-dipole interactions are used to illustrate the approach. Energetic and structural properties are computed and compared to exact diagonalization and numerical matrix multiplication for N ≤ 3 to assess the systematic Trotter factorization error convergence.

Spatial Organization of Macrophages in CTL Rich Hepatocellular Carcinoma Influences CTL Antitumor Activity.

Despite the pivotal role of cytotoxic T lymphocytes (CTLs) in anti-tumor immunity, a substantial proportion of CTL-rich hepatocellular carcinoma (HCC) patients experience early relapse or immunotherapy resistance. However, spatial immune variations impacting the heterogeneous clinical outcomes of CTL-rich HCCs remain poorly understood. Here, we compared the single-cell and spatial landscapes of 20 CTL-rich HCCs with distinct prognoses using multiplexed in situ staining and validated the prognostic value of myeloid spatial patterns in a cohort of 386 patients.

Scrolled Poly(L-lactic acid) Single Crystals via Chain End-Induced Symmetry-Breaking.

Single crystals that do not obey translational symmetry have been reported in various material systems. In polymers, twisted crystals are typically formed in banded spherulites, while a class of non-flat polymer single crystals (PSCs) has been observed. Herein, we report the formation of scrolled single crystals of biodegradable polymer poly(L-lactic acid) (PLLA).

Scalable mechanochemical synthesis of biotin[6]uril.

Biotin[6]uril, a chiral, water-soluble and anion binding macrocycle, is formed via dynamic covalent chemistry. In this study, we present a scalable and high-yielding synthesis of biotin[6]uril via a mechanochemical solid-state approach. The optimized protocol involves mechanical grinding of solid D-biotin with paraformaldehyde in the presence of 0.

Transcriptomic Profiles in Nasal Epithelium and Asthma Endotypes in Youth.

Importance: T helper 2 (T2) cells and T helper 17 (T17) cells are CD4+ T cell subtypes involved in asthma. Characterizing asthma endotypes based on these cell types in diverse groups is important for developing effective therapies for youths with asthma.

Objective: To identify asthma endotypes in school-aged youths aged 6 to 20 years by examining the distribution and characteristics of transcriptomic profiles in nasal epithelium.

Neuropsychiatric Outcomes in Children and Adolescents with Perinatally Acquired HIV: A Systematic Review and Meta Analysis.

Objective: The objective of this study is to define the neuropsychiatric challenges including developmental delay, cognitive impairment and psychiatric illness faced by children with perinatally acquired HIV.

Data Sources: Nine databases were searched on 30/05/2023: MEDLINE, Embase, and PsycINFO (all via Ovid SP); CINAHL and Child Development and Adolescent Studies (via EBSCO); the Web of Science Core Collection; Scopus; ProQuest Dissertations and Theses Global; and WHO Global Index Medicus. No limits were applied.

Risk of adverse birth outcomes and birth defects among women living with HIV on antiretroviral therapy and HIV-negative women in Uganda, 2015-2021.

Introduction: We assessed the risk of adverse pregnancy and birth outcomes and birth defects among women living with HIV (WLHIV) on antiretroviral therapy (ART) and HIV-negative women.

Methods: We analyzed data on live births, stillbirths, and spontaneous abortions during 2015-2021 from a hospital-based birth defects surveillance system in Kampala, Uganda. ART regimens were recorded from hospital records and maternal self-reports.

A modified adaptive Kalman filter algorithm for the distributed underwater multi-target passive tracking system.

A modified adaptive Kalman filter (AKF) algorithm is proposed to make underwater multi-target tracking with uncertain measurement noise reliable. By utilizing the proposed AKF algorithm with three core points, including an adaptive fading factor, measurement noise covariance adjustment, and an adaptive weighting factor, the unknown measurement noise and state vector can be estimated with good accuracy and robustness. The practical trial data verify this algorithm, and it has proven superior to all traditional algorithms in this Letter based on the results that it reduces the estimated position RMSEs by at least 10.

Left Ventrolateral Prefrontal Cortical Activity During Reward Expectancy and Mania Risk.

Importance: Mania/hypomania is the pathognomonic feature of bipolar disorder (BD). As BD is often misdiagnosed as major depressive disorder (MDD), replicable neural markers of mania/hypomania risk are needed for earlier BD diagnosis and pathophysiological treatment development.

Objective: To replicate the previously reported positive association between left ventrolateral prefrontal cortex (vlPFC) activity during reward expectancy (RE) and mania/hypomania risk, to explore the effect of MDD history on this association, and to compare RE-related left vlPFC activity in individuals with and at risk of BD.

Atomistic Structure Investigation of Eu-Doped ZnO Nanosponges.

Zinc oxide (ZnO) is a semiconductor with a wide range of applications, and often the properties are modified by metal-ion doping. The distribution of dopant atoms within the ZnO crystal strongly affects the optical and magnetic properties, making it crucial to comprehend the structure down to the atomic level. Our study reveals the dopant structure and its contents in Eu-doped ZnO nanosponges with up to 20% Eu-O clusters.