Impact of policy adjustments on low carbon transition strategies in construction using evolutionary game theory.

The construction industry is generally characterized by high emissions, making its transition to low-carbon practices essential for achieving a low-carbon economy. However, due to information asymmetry, there remains a gap in research regarding the strategic interactions and reward/punishment mechanisms between governments and firms throughout this transition. This paper addresses this gap by investigating probabilistic and static reward and punishment evolutionary games.

Effect of azithromycin combined with fluticasone propionate aerosol inhalation on immune function in children with chronic cough caused by Mycoplasma pneumoniae infection.

Unlabelled: This research aimed to describe the effect of azithromycin combined with fluticasone propionate aerosol inhalation on immune function in children with chronic cough caused by Mycoplasma pneumoniae (MP) infection. This study was a retrospective analysis in which 110 children with chronic cough caused by MP infection were divided into two groups based on different treatment methods: 58 cases in the control group treated with azithromycin dry suspension and 52 cases in the intervention group treated with azithromycin dry suspension and fluticasone propionate inhalation aerosol. Lung function, inflammatory factors, immune indicators, laboratory-related indicators, adverse reactions, and therapeutic effects were compared between the two groups.

Construction of an evaluation indicator system for the integrated development of sports, culture and tourism based on tourist perceptions.

Through a literature review, expert interviews, questionnaires, and statistical methods, this study constructs an evaluation index system and calculates the score for the integrated development of sports, culture, and tourism at sports event venues, specifically the Hemei Rural Football Super League ("Village Super League") in Rongjiang, Guizhou. First, we reviewed and analyzed the relevant literature, which led to the formation of an initial index consisting of 18 items. The index was optimized after the analysis to include three main dimensions and 13 specific measurement items.

Characterization of insulin and bile acid complexes in liposome by different mass spectrometry techniques.

Insulin bound with ligand molecules can improve its bioavailability in oral formulations. In this work, the interactions between insulin and bile acids of taurocholic acid (TCA) and glycocholic acid (GCA) are characterized using different mass spectrometry (MS) methods. Electrospray (ESI)-MS analysis revealed that GCA and TCA could interact with insulin individually or together through non-covalent bonds, and the products included mGCA-insulin, nTCA-insulin, and mGCA-nTCA-insulin complexes.

A photodetector for red and green with balanced negative and positive photocurrent for imaging is realized.

A dual-polarity, photovoltaic photodetector for red-green dual-wavelength detection is demonstrated, operating in the self-powered mode. It is based on a core-shell n-InGaN nanowire/p-CuO heterostructure with inner upward energy band bending and near surface downward energy band bending. This produces negative photocurrent for red light illumination and positive photocurrent for green light illumination.

Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms.

Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.

Effect of magnetization on antibacterial, lipid-lowering and antioxidant activities of isoquinoline alkaloids.

The magnetization strategy of isoquinoline alkaloids has been successfully used in the extraction and isolation, but the effect of the magnetization on biological activities of those alkaloids still deserves further investigation. Therefore, the antibacterial, lipid-lowering and antioxidant activities of five isoquinoline alkaloids (berberine, tetrahydroberberine, palmatine, tetrahydropalmatine and tetrahydropapavine) before and after magnetization were compared in this study, and the results showed that the relevant activities were enhanced after magnetization. Additionally, among the five magnetic derivatives studied, berberine magnetic derivative ([Ber·H][FeCl]) had the best antibacterial effect on S.

Dynamic mechanism and evolutionary game analysis of sports industry service transformation.

Service transformation plays a pivotal role in achieving the sustainable development of the sports industry. This study originates from the interactive relationships among sports enterprises, consumers, and regulatory authorities, proposing a logical framework for the service transformation of the sports industry. Furthermore, a three-party evolutionary game model is constructed to explore the strategic evolution and stability conditions under both single-agent and multi-agent scenarios.

A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model.

Air conditioning systems are widely used to provide thermal comfort in hot and humid regions, but they also consume a large amount of energy. Therefore, accurate and reliable load demand forecasting is essential for energy management and optimization in air conditioning systems. Within the current paper, a novel model on the basis of machine learning has been presented for dynamic optimal load demand forecasting in air conditioning systems.

Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning.

Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitination plays a significant role in the pathogenesis of CD. This study aimed to explore the functional roles of ubiquitination-related genes in CD.

Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses.

Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable patient self-diagnosis and self-triage. IOMIDS included a text model and three multimodal models (text + slit-lamp, text + smartphone, text + slit-lamp + smartphone).

Effect of anthocyanin rich black sugarcane on milk production and antioxidant capacity in lactating dairy cows.

This study aimed to explore the effect of anthocyanin-rich black sugarcane on milk production, plasma antioxidant capacity, and the storage period DPPH scavenging capacity of milk in lactating dairy cows. Sixteen lactating dairy cows were stratified and randomly assigned into two balanced dietary groups, namely Anthocyanin-rich black sugarcane (AS), and Napier grass (NG). The AS group demonstrated a significant decrease (p < 0.

Association between sleep quality and serum biomarkers among long-term hot spring bathers: a cross-sectional study.

Previous studies investigating the influence of hot spring bathing on sleep quality have predominantly focused on the short-term effects through questionnaire surveys without blood collection for biochemical tests. Here, we undertook a comprehensive investigation of the long-term health effects of hot spring bathing among the residents of Hot Spring Village. A total of 140 participants were enrolled, and their demographic characteristics and the patterns of hot spring bathing were obtained via face-to-face interview, and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI).

MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.

Computational target identification plays a pivotal role in the drug development process. With the significant advancements of deep learning methods for protein structure prediction, the structural coverage of human proteome has increased substantially. This progress inspired the development of the first genome-wide small molecule targets scanning method.

Electrophysiological characterization of human KCNT1 channel modulators and the therapeutic potential of hydroquinine and tipepidine in KCNT1 mutation-associated epilepsy mouse model.

Patients suffering epilepsy caused by the gain-of-function mutants of the hKCNT1 potassium channels are drug refractory. In this study, we cloned a novel human KCNT1B channel isoform using the brain cDNA library and conducted patch-clamp and molecular docking analyses to characterize the pharmacological properties of the hKCNT1B channel using thirteen drugs. Among cinchona alkaloids, we found that hydroquinine exerted the strongest blocking effect on the hKCNT1B channel, especially the F313L mutant.

New advances in novel pharmacotherapeutic candidates for the treatment of metabolic dysfunction-associated steatohepatitis (MASH) between 2022 and 2024.

Metabolic dysfunction-associated steatotic liver disease (MASLD) covers a broad spectrum of profile from simple fatty liver, evolving to metabolic dysfunction-associated steatohepatitis (MASH), to hepatic fibrosis, further progressing to cirrhosis and hepatocellular carcinoma (HCC). MASLD has become a prevalent disease with 25% in average over the world. MASH is an active stage, and requires pharmacological intervention when there is necroptotic damage with fibrotic progression.

The Role of Pathogens in Plant Invasion: Accumulation of Local Pathogens Hypothesis.

In the past decades, dozens of invasion hypotheses have been proposed to elucidate the invasion mechanisms of exotic species. Among them, the accumulation of local pathogens hypothesis (ALPH) posits that invasive plants can accumulate local generalist pathogens that have more negative effect on native species than on themselves; as a result, invasive plants might gain competitive advantages that eventually lead to their invasion success. However, research on this topic is still quite insufficient.

Description of current status of implementation and management of cardiac arrest in China.

Variation in the incidence, survival rate and factors associated with survival after cardiac arrest in China is reported. Some studies have tried to fill the knowledge gap regarding the epidemiology of cardiac arrest in China but were unable to identify reasons for the reported differences. Therefore, the purpose of this study was to describe Chinese management of cardiac arrest, particularly from the perspective of compression, ventilation, monitoring, treatment, and extracorporeal cardiopulmonary resuscitation.

Optimized design and experimental analysis of the vertical mixing plow for enhancing planosol improvement machine.

Improved soil fertility to sustain crop productivity is important to enhance agroecosystem services. To address the low nutrient content, subsoil compaction, and poor root penetration in Planosol, a new machine was designed to improve these conditions. This machine integrates subsoil mixing and fertilizer application.

Lesion-based grading system using clinicopathological and MRI features for predicting positive surgical margins in prostate cancer.

Objectives: To develop and validate a lesion-based grading system using clinicopathological and MRI features for predicting positive surgical margin (PSM) following robotic-assisted laparoscopic prostatectomy (RALP) among prostate cancer (PCa) patients.

Methods: Consecutive MRI examinations of patients undergoing RALP for PCa were retrospectively collected from two medical institutions. Patients from center 1 undergoing RALP between January 2020 and December 2021 were included in the derivation cohort and those between January 2022 and December 2022 were allocated to the validation cohort.

Probabilistic stability assessment of slope considering soft soil and silty clay foundations.

Although deterministic analysis can provide initial insights into slope stability, there is no way to reflect the true distribution of soil properties within a slope. To further investigate the effects of the spatial variability of soil properties on the stability and failure mechanism of slope under different foundation types, this study develops a framework combining simple limit equilibrium method (LEM), Monte Carlo Simulation (MCS), and random field to incorporate these factors into slope probabilistic stability analysis. The slope models of two typical foundations (e.

ASIC1a mediated nucleus pulposus cells pyroptosis and glycolytic crosstalk as a molecular basis for intervertebral disc degeneration.

Background: One of the etiologic components of degenerative spinal illnesses is intervertebral disc degeneration (IVDD), and the accompanying lower back pain is progressively turning into a significant public health problem. Important pathologic characteristics of IVDD include inflammation and acidic microenvironment, albeit it is unclear how these factors contribute to the disease.

Purpose: To clarify the functions of inflammation and the acidic environment in IVDD, identify the critical connections facilitating glycolytic crosstalk and nucleus pulposus cells (NPCs) pyroptosis, and offer novel approaches to IVDD prevention and therapy.