Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning.

The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have been made to enrich molecular representations by integrating data from diverse aspects. Nevertheless, current methodologies frequently compartmentalize geometric and semantic components, resulting in a fragmented approach that impairs the holistic integration of molecular attributes.

Forecast of total health expenditure on China's ageing population: a system dynamics model.

Background: China is currently at a turning point as its total population has started to decline, and therefore faces issues related to caring for an ageing population, which will require an increase in Total Health Expenditure (THE). Therefore, the ability to forecast China's future THE is essential.

Methods: We developed two THE System Dynamics (SD) models using Stella Architect 3.

Preventive maintenance in urban public transport: the role of engine oil analysis.

Engine oil is a valuable source of information on the technical condition of the drive unit. Under the influence of many factors, including operating conditions, time, high temperature, and various types of contamination, the oil gradually degrades, which can result in serious engine damage. The subject of the article focuses on an attempt to answer the questions of how engine failure affects the degradation of engine oil and whether we can use this knowledge to detect potential problems in public transport vehicles at an early stage.

Green credit policy and energy consumption intensity in China: Firm-level evidence and insights.

The transition to sustainable development has become a global priority, with energy transformation serving as a key component. In this context, green financial instruments play a crucial role in shaping corporate energy-saving behaviors and promoting sustainable development. This paper examines the impact and mechanism of China's first green credit policy (GCP) on energy consumption intensity (ECI) of manufacturing firms in China, using a difference-in-difference (DID) approach with micro-level data (2004-2009).

Fiscal decentralization, local government behavior and environmental pollution: Evidence from "Province-Managing-County" reform in China.

The impact of fiscal decentralization on environmental pollution is a widely debated topic that remains inconclusive. Central to this discussion is whether local governments pursue a "race to the top" or "race to the bottom" competitive strategy. The environmental federalism theory provides insight into this dynamic within federal system but falls short in explaining similar phenomenon in non-federal systems.

Love as a Commitment Device : Evidence from a Cross-Cultural Study across 90 Countries.

Given the ubiquitous nature of love, numerous theories have been proposed to explain its existence. One such theory refers to love as a commitment device, suggesting that romantic love evolved to foster commitment between partners and enhance their reproductive success. In the present study, we investigated this hypothesis using a large-scale sample of 86,310 individual responses collected across 90 countries.

Environmental regulation and corporate exports: Quasi-experimental evidence from China's environmental protection tax law.

How can we create a dual benefit scenario that improves both the ecological environment and export performance? This study aims to investigate whether the introduction of the Environmental Protection Tax Law (EPTL) has promoted the growth of corporate export. By treating the formal implementation of China's EPTL on January 1, 2018, as an exogenous economic event, this paper takes A-share listed companies in China from 2013 to 2022 as a sample and uses the Difference-in-Differences (DID) model to analyze the specific effects of the EPTL on corporate exports. The results indicate that the EPTL improves corporate exports significantly.

Clozapine-Associated Sialorrhea: A Literature Review.

Background: Clozapine has demonstrated efficacy in treating treatment-resistant schizophrenia; however, it has a wide range of side effects. Sialorrhea is a common side effect of clozapine that causes the patient to withdraw from social life. This review aims to evaluate and summarize the prevalence, mechanism, risk factors, and management of clozapine-associated sialorrhea.

The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model.

This paper introduces the generalized Hausman test as a novel method for detecting the non-normality of the latent variable distribution of the unidimensional latent trait model for binary data. The test utilizes the pairwise maximum likelihood estimator for the parameters of the latent trait model, which assumes normality of the latent variable, and the maximum likelihood estimator obtained under a semi-non-parametric framework, allowing for a more flexible distribution of the latent variable. The performance of the generalized Hausman test is evaluated through a simulation study and compared with other test statistics available in the literature for testing latent variable distribution fit and an overall goodness-of-fit test statistic.

From concept to impact: strategic guidelines for environmental behavior change interventions.

Interventions aiming at behavioral change are common tools for assessing and stimulating environmentally friendly lifestyles. To obtain representative and scalable results from the interventions, the experimental design of the interventions is crucial. Likewise, an operational plan is significant concerning the coherence and consistency of the interventions and the comparability of the results from different interventions.

Enhancing the European power system resilience with a recommendation system for voluntary demand response.

Climate change, geopolitical tensions, and decarbonization targets are bringing the resilience of the European electric power system to the forefront of discussion. Among various regulatory and technological solutions, voluntary demand response can help balance generation and demand during periods of energy scarcity or renewable energy generation surplus. This work presents an open data service called Interoperable Recommender that leverages publicly accessible data to calculate a country-specific operational balancing risk, providing actionable recommendations to empower citizens toward adaptive energy consumption, considering interconnections and local grid constraints.

Overview of recent developments in carbon-based nanocomposites for supercapacitor applications.

Energy storage devices are recognized as environmentally friendly technologies. Supercapacitors, known for their high cycle stability, have been proposed as potential alternatives to fossil fuels. Recent studies have focused on selecting suitable electrode materials to achieve energy storage systems with high stability, high specific capacity, and biocompatibility.

From risk to reward: Unveiling the multidimensional impact of financial risks on the performance of Ghanaian banks.

The Ghanaian banking sector, grappling with a spectrum of financial risks, presents a compelling case study for understanding the dynamics of risk and profitability in emerging markets. This study seeks to fortify the financial performance of Ghanaian banks through an innovative application of benchmark regression analysis, focusing on critical financial risk and performance metrics. Employing an explanatory research methodology, we harnessed a panel regression model to scrutinize secondary data extracted from the annual income statements of 23 banks, spanning nearly two decades from 2006 to 2023.

From tradition to smart: A comprehensive review of the evolution and prospects of land use planning tools.

Land use planning tools are essential for effective land management. However, existing research has not thoroughly explored the evolution and future potential of these tools. This study addresses this gap through comprehensive literature review and data collection, mapping the progression of land use planning tools from their inception to their future trajectories.

How does the development of the digital economy in RCEP member countries affect China's cross-border e-commerce exports?

As a significant new mode of trade export in the digital economy era, cross-border e-commerce injects new momentum into trade cooperation among the Regional Comprehensive Economic Partnership (RCEP) member countries. This paper utilizes multi-dimensional panel data constructed from World Bank databases and UNCTAD databases from 2012 to 2021 to analyze the impact mechanism of RCEP member countries' digital economy development on China's cross-border e-commerce export through direct and indirect channels and conducts empirical tests on it. The research results show that, in terms of direct impact, the development of the digital economy in RCEP member countries has promoted China's cross-border e-commerce export, and its impact is heterogeneous.

Thermodynamics of TlPrBr Compound and Re-examination of Phase Equilibria in the PrBr-TlBr System.

The PrBr-TlBr phase diagram was first established in the 1970s. Due to some inaccuracies, it was redetermined using differential scanning calorimetry. The results obtained differ significantly from those in the literature, which has been discussed in this paper.

Treatment Patterns and Attrition in Metastatic Renal Cell Carcinoma: Real-Life Experience from the Turkish Oncology Group Kidney Cancer Consortium (TKCC) Database.

Introduction: Despite the rapid evolution in management of metastatic renal cell carcinoma (mRCC) over the past decade, challenges remain in accessing new therapies in some parts of the world. Despite therapeutic advancements, attrition rates remain persistently high. This study aims to assess the treatment patterns and attrition rates of patients with mRCC in oncology clinics across Turkey.

Magnitude-space representations in the n-back task: Long-term representations of magnitudes alter the working memory performance.

Prior research has predominantly examined the role of working memory (WM) in tasks involving numerical information and spatial properties, such as memorizing number sequences and performing parity judgment and magnitude comparison. In contrast to focusing solely on the effect of WM on number judgment tasks, our study investigates how magnitude-space associations affect WM task performance, emphasizing long-term representations, specifically the concept of mental number line (MNL) compatibility (small items on the left, large items on the right) in long-term memory (LTM). Moving from the idea of representations within LTM contribute to the functioning of WM during task execution, we explore the effects of congruent, incongruent, and negative congruent numerical and non-numerical magnitude-space associations on magnitude-based 1-back (low WM load) and 2-back (high WM load) tasks.

Metal (M = Cr, Mo, W, Re) carbonyl complexes with porphyrin and carborane isocyanide ligands: light-induced oxidation and carbon oxide release for antitumor efficacy.

The tetrapyrrolic macrocycle as a scaffold for various chemical modifications provides broad opportunities for the preparation of complex multifunctional conjugates suitable for binary antitumor therapies. Typically, illumination with monochromatic light triggers the photochemical generation of reactive oxygen species (ROS) (photodynamic effect). However, more therapeutically valuable effects can be achieved upon photoactivation of tetrapyrrole derivatives.

Evaluation of the relationships between psychiatric comorbidity and seizure semiology in psychogenic non-epileptic seizure patients.

Psychogenic non-epileptic seizures (PNES) are episodic events that bear a resemblance to epileptic seizures (ES) in their outward manifestations, yet they lack pathological electroencephalographic (EEG) activity during the ictal phase. In the Diagnostic and Statistical Manual 5th Edition (DSM-5), PNES is designated as "Functional Neurological Symptom Disorder with seizures". Individuals diagnosed with PNES commonly present with concurrent psychiatric disorders, notably depression, panic disorder, and chronic anxiety.

Corporate digital transformation and carbon emission intensity: Empirical evidence from listed companies in China.

Digital transformation is crucial for sustainable development of enterprises and for addressing the conundrum of "efficiency and environment". Utilizing a dataset from A-share listed companies in China from 2007 to 2021, this paper investigates the direct impact, underlying mechanism and driving effect of enterprise digital transformation on carbon emission intensity. The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing.

Baseline concentrations and quantitative health risk assessment of polycyclic aromatic hydrocarbons (PAHs) in relation to particle grain size in street dust of Warsaw Poland.

Total concentrations, toxicity, and health risks of 16 polycyclic aromatic hydrocarbons (PAH) in street dust from Warsaw (Poland) in 6 granulometric fractions were investigated. Street dust was collected from 149 sampling points distributed among Area 1 (central districts, left bank of the Vistula River, mostly traffic-related pollution) and Area 2&3 (suburb area, mostly residential, right bank of the river). Street dust was investigated before ("all") and after separating into 5 size-dependent samples: (1-0.

The relationship between educational attainment, lifestyle, self-rated health, and depressive symptoms among Chinese adults: a longitudinal survey from 2012 to 2020.

Education holds significant implications for individual health. This work aims to examine the relationship between educational attainment, lifestyle, self-rated health, and depressive symptoms among Chinese adults. We used China Family Panel Studies data from 2012 to 2020.

Differential diagnosis of submucosal gastric tumors: gastric schwannomas misdiagnosed as GISTs.

Schwannomas commonly occur in the head and neck region but are rarely seen in the gastrointestinal tract; the stomach and small intestine are the most commonly involved sites. These tumors are usually misdiagnosed as gastrointestinal stromal tumors (GISTs) before histopathological confirmation due to radiological similarity. GI schwannomas show positivity for S100 protein and vimentin but are negative for CD 117 and CD 34, which helps in differentiating the tumor from GISTs.

Application of deep learning in wound size measurement using fingernail as the reference.

Objective: Most current wound size measurement devices or applications require manual wound tracing and reference markers. Chronic wound care usually relies on patients or caregivers who might have difficulties using these devices. Considering a more human-centered design, we propose an automatic wound size measurement system by combining three deep learning (DL) models and using fingernails as a reference.