Racial and Ethnic Differences in Long-Term Outcomes among Individuals with Opioid Use Disorder at Opioid Treatment Programs.

Objectives: Racial and ethnic differences in long-term outcomes associated with medications for opioid use disorder (MOUD) are poorly understood.

Methods: The present analyses were based on 751 participants with opioid use disorder (OUD) who were initially recruited from opioid treatment programs located in California, Connecticut, Oregon, Pennsylvania, and Washington and participated in a randomized controlled trial and at least one follow-up interview. 9.

Genetic polymorphism in β-site amyloid precursor protein-cleaving enzyme 1 affects the structure of medial temporal lobe and cognition in Alzheimer's disease: an exploratory study.

The β-site amyloid precursor protein-cleaving enzyme 1 (BACE1) gene polymorphism (rs638405) has been widely reported to be associated with Alzheimer's disease (AD) risk. However, studies on the relationship between BACE1 gene polymorphism (rs638405), brain volume, and cognition in AD patients remain scarce. To investigate the effect of genetic polymorphism in BACE1 on gray matter volume (GMV) and cognition in AD, this study recruited 111 cognitively unimpaired (CU) controls and 144 AD patients.

Soil application of dazomet combined with 1,3-dichloropropene against soilborne pests for tomato production.

There is a growing problem in China, whereby tomato replant disease is being affected by Fusarium spp., Meloidogyne spp., and Phytophthora spp.

High Incidence of syphilis seroconversion among people living with HIV in Hainan, south China.

Globally, people living with HIV (PLHIV) are at a high risk of syphilis transmission, and Hainan Province has one of the highest syphilis rates in China. However, there is no targeted syphilis screening for HIV patients in Hainan, highlighting the need for data to guide public health interventions. This study aims to assess the incidence of seropositive syphilis and its associated factors among PLHIV.

Enhancing antibody levels and T cell activity of quadrivalent influenza vaccine by combining it with CpG HP021.

Influenza virus infections are a serious danger to people's health worldwide as they are responsible for seasonal flu outbreaks. There is an urgent need to improve the effectiveness and durability longevity of the immune response to influenza vaccines. We synthesized the CpG HP021 and examined the impact of it on the immune response to an influenza vaccine.

Predictive nomogram of ultrasound indicators for the termination outcome of caesarean scar pregnancy.

To develop and validate a nomogram for predicting the risk of adverse events (intraoperative massive haemorrhage or retained products of conception) associated with the termination of Caesarean scar pregnancy (CSP). Data were retrospectively collected from patients diagnosed with CSP who underwent Dilation and Curettage (D&C) at two hospitals. This data was divided into internal and external cohorts for analysis.

Pan-cancer association of a mitochondrial function score with genomic alterations and clinical outcome.

Mitochondria are pivotal in cellular energy metabolism and have garnered significant attention for their roles in cancer progression and therapy resistance. Despite this, the functional diversity of mitochondria across various cancer types remains inadequately characterized. This study seeks to fill this knowledge gap by introducing and validating MitoScore-a novel metric designed to quantitatively assess mitochondrial function across a wide array of cancers.

The comparison of the risk of neurological deterioration and clinical outcomes in different atherosclerotic stroke patterns.

This study aims to compare the incidences of neurological deterioration (ND) and poor outcome (a modified Ranking scale > 2 points at discharge) among patients with different atherosclerotic stroke patterns. A total of 688 participants were categorized into 4 groups according to atherosclerotic stroke pattern: multiple small infarcts (MSI), single subcortical infarction (SSI), borderzone infarct (BZI) and large infarct groups. Among the 4 groups, MSI group had the lowest incidences of ND and poor outcome (13.

Developmental validation of a novel all-in one assay of X chromosomal multi-insertion/deletion loci for forensic genetics.

Multi-insertion/deletion polymorphisms (Multi-InDels), as the novel genetic markers, show great potential in forensic research. Whereas, forensic researchers mainly focus on the multi-InDels on the autosomes, which can provide relatively limited information in some complex paternity cases. In this study, a novel X chromosomal multi-InDel multiplex amplification system was designed, containing 22 multi-InDels and one STR locus on the X chromosome.

Research on water immersion damage characteristics and equivalent width of coal pillar.

Affected by weakening effect of water in the goaf, the bearing capacity of coal pillar reduced, and coal pillar rock burst is prone to occur, which is a serious threat to mine safety in production. In order to study the equivalent width and stability of coal pillar in water-rich coal seam, taking the section coal pillar of a working face as the research object, combined with laboratory test, theoretical analysis, simulation and engineering practice, the stress, elastic core area width, damage degree and energy accumulation of 36 m water-immersed coal pillar and 26 m, 28 m, 30 m, 32 m, 36 m unimmersed coal pillars are analyzed. The research results show that: (1) The reasonable width of coal pillar under flooded and unflooded conditions is 36.

Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization.

The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.

Development and external validation of an early prediction model to identify irresponsive patients and prognosis of UDCA treatment in primary biliary cholangitis.

Ursodeoxycholic acid (UDCA) is the first-line treatment for primary biliary cholangitis (PBC), but 20-40% of patients do not respond well to UDCA. We aimed to develop and validate a prognostic model for the early prediction of patients who nonresponse to UDCA. This retrospective analysis was conducted among patients with primary biliary cholangitis(N = 257) to develop a predictive model for early-stage nonresponse to ursodeoxycholic acid (UDCA) therapy.

Synergizing quantum techniques with machine learning for advancing drug discovery challenge.

The Quantum Computing for Drug Discovery Challenge, held at the 42nd International Conference on Computer-Aided Design (ICCAD) in 2023, was a multi-month, research-intensive competition. Over 70 teams from more than 65 organizations from 12 different countries registered, focusing on the use of quantum computing for drug discovery. The challenge centered on designing algorithms to accurately estimate the ground state energy of molecules, specifically OH+, using quantum computing techniques.

Intervention effect of regulating GABA-A receptor activity on the formation of experimental abdominal aortic aneurysm in rats.

Abdominal aortic aneurysm is a potentially fatal vascular inflammatory disease characterized by infiltration of various inflammatory cells.The GABA-A receptor is expressed in many inflammatory cells such as macrophages and T cells and has anti-inflammatory and antioxidant effects. Therefore, the GABA-A receptor may become a potential therapeutic target for abdominal aortic aneurysms.

A skipping spectrum sensing scheme based on deep reinforcement learning for transform domain communication systems.

Spectrum sensing is a key technology and prerequisite for Transform Domain Communication Systems (TDCS). The traditional approach typically involves selecting a working sub-band and maintaining it without further changes, with spectrum sensing being conducted periodically. However, this approach presents two main issues: on the one hand, if the selected working band has few idle channels, TDCS devices are unable to flexibly switch sub-bands, leading to reduced performance; on the other hand, periodic sensing consumes time and energy, limiting TDCS's transmission efficiency.

An efficient method for identifying surface damage in hydraulic concrete buildings.

Traditional hydraulic structures rely on manual visual inspection for apparent integrity, which is not only time-consuming and labour-intensive but also inefficient. The efficacy of deep learning models is frequently constrained by the size of available data, resulting in limited scalability and flexibility. Furthermore, the paucity of data diversity leads to a singular function of the model that cannot provide comprehensive decision support for improving maintenance measures.

An improved practical Byzantine fault tolerance algorithm for aggregating node preferences.

Consensus algorithms play a critical role in maintaining the consistency of blockchain data, directly affecting the system's security and stability, and are used to determine the binary consensus of whether proposals are correct. With the development of blockchain-related technologies, social choice issues such as Bitcoin scaling and main chain forks, as well as the proliferation of decentralized autonomous organization (DAO) applications based on blockchain technology, require consensus algorithms to reach consensus on a specific proposal among multiple proposals based on node preferences, thereby addressing the multi-value consensus problem. However, existing consensus algorithms, including Practical Byzantine Fault Tolerance (PBFT), do not support nodes expressing preferences.

Integrative analysis of ASXL family genes reveals ASXL2 as an immunoregulatory molecule in head and neck squamous cell carcinoma.

Despite the progress in conventional treatments for head and neck squamous cell carcinoma (HNSCC), the 5-year survival rate remains below 70%. Enhancing immunotherapy outcomes through personalized treatment strategies, particularly by identifying immune-related biomarkers, is critical. The ASXL family are associated with malignancies, but their relationship with HNSCC has not been elucidated.

An interpretable fault diagnosis method for aeroengine bearings based on belief rule based with a dynamic power set.

Accurately identifying bearing faults in aeroengines is crucial for maintaining their lifespan and cost. However, most current models are black-box models, such as deep learning models such as deep neural networks. The decision-making process of these models is more complex and lacks interpretability, which results in insufficient credibility of the results.

Hybrids of copper cysteamine nanosheets and silver nanocluster ensure superior bactericidal capability via enhanced photodynamic effect.

Over the past decades, bacterial infections resulting from the misuse of antibiotics have garnered significant attention. Among the alternative antibacterial strategies, photodynamic therapy (PDT) has emerged as a promising non-antibiotic approach. However, persistent bacterial biofilms, particularly those composed of gram-negative bacteria with their protective outer membranes, have exhibited remarkable resilience to PDT.

Mechanical prediction method of strata movement and surface subsidence in backfill-strip mining.

Underground coal excavation has caused a series of geological disasters and environmental problems, especially coal mining subsidence. Backfill-strip mining, which combines the advantages of strip mining and backfill mining, can reduce subsidence and improve the recovery rate of coal. Therefore, predicting the impact of backfill-strip mining on the surface environment and strata structure is essential for the better development of backfill-strip mining technology.

The mediating effects of death reflection on death literacy and death anxiety among Chinese nurses: a cross-sectional study.

The purpose of this study was to investigate the mediating effect of death reflection on death literacy and death anxiety in clinical nurses. A sample of 2,882 nurses in China were selected by convenience sampling. A socio-demographic questionnaire, a death literacy scale, a death reflection scale, and a death anxiety scale were used to investigate.

Altered neurovascular coupling and structure-function coupling in Moyamoya disease affect postoperative collateral formation.

Chronic ischemia in moyamoya disease (MMD) impaired white matter microstructure and neural functional network. However, the coupling between cerebral blood flow (CBF) and functional connectivity and the association between structural and functional network are largely unknown. 38 MMD patients and 20 sex/age-matched healthy controls (HC) were included for T1-weighted imaging, arterial spin labeling imaging, resting-state functional MRI and diffusion tensor imaging.

Single-cell transcriptome analysis of stem cells from human exfoliated deciduous teeth investigating functional heterogeneity in immunomodulation.

Mesenchymal stem cells (MSCs) have been widely used in the treatment of various inflammatory diseases. The inadequate understanding of MSCs and their heterogeneity can impact the immune environment, which may be the cause of the good outcomes of MSCs-based therapy that cannot always be achieved. Recently, stem cells from human exfoliated deciduous teeth (SHED) showed great potential in inflammatory and autoimmune diseases due to their immature properties compared with MSCs.

Correlation of the weight-adjusted waist circumference index with Klotho in the United States: differences by sex.

The relationship between the weight-adjusted waist circumference index (WWI) and the senescence-inhibitory protein Klotho remains unknown. Therefore, this study aimed to investigate the relationship between WWI and soluble Klotho (s-Klotho). This study analyzed 9,928 participants based on the 2007-2016 National Health and Nutrition Examination Survey (NHANES).