The Effectiveness of Afatinib as First-Line Treatment in Vietnamese Patients With EGFR-Mutant Non-Small Cell Lung Cancer and Brain Metastases.

Introduction: The role of afatinib in the first-line treatment of EGFR-mutant advanced non-small cell lung cancer (NSCLC) patients has been proven through clinical trials and real-world studies. However, additional data on the effectiveness of afatinib in patients with brain metastases are lacking.

Methods: EGFR-mutant NSCLC patients with brain metastases were retrospectively reviewed across nine cancer centers in Vietnam from April 1, 2018 to June 1, 2022.

Changes in retail cigarette price after tax increase: Findings from the 2018-2020 ITC Vietnam surveys.

Introduction: No longitudinal study has investigated the impact of cigarette tax increases on retail prices in Vietnam. This study aims to describe changes in the purchase price of cigarettes following an excise tax increase from 70% to 75% in January 2019.

Methods: Data were collected from people who currently smoke cigarettes in the longitudinal ITC Vietnam surveys: 1870 participants in Wave 1 (pre-increase), 1564 in Wave 2 (post-increase), and 1308 in Wave 3 (post-increase).

Treatment of Vietnamese patients diagnosed with myelodysplastic neoplasms: Practical experience in a developing country.

Background: Treatment of patients diagnosed with myelodysplastic neoplasms (MDS) is difficult and the outcome is still limited, especially in developing countries. We conducted this study in order to share some experience in treating patients diagnosed with MDS in developing countries.

Methods: This was a retrospective study that included 32 patients with newly MDS.

Determinants of Environmental Pollution in China: Novel Findings from ARDL Method.

This study examines how EC, FF use, RC, POP growth, trade, GDP, and CO emissions are interrelated in China. It aims to clarify how these factors together impact environmental pollution and economic sustainability. The motivation stems from China's dual challenge of sustaining economic growth while mitigating environmental degradation, particularly CO emissions.

In Children, -Methyl-D-Aspartate Receptor Antibody Encephalitis Incidence Exceeds That of Japanese Encephalitis in Vietnam.

Background: The recognition of autoimmune causes of encephalitis has led to epidemiological shifts in the worldwide characteristics of encephalitis. -methyl-D-aspartate receptor (NMDAR) antibody encephalitis leads to well-established complex neuropsychiatric manifestations. In low- and middle-income countries, including Vietnam, its relative incidence, especially in children, is unknown and most neurologists currently consider infectious encephalitis prior to autoimmune etiologies.

Diagnostic Assessment of Nuclear Cataracts Using a Smartphone-Attachable Slit-Lamp Device: A Cross-Sectional Study in Vietnam.

Purpose The purpose of this study was to compare the accuracy and agreement in nuclear cataract opacity classification between the Smart Eye Camera (SEC) device, and the slit-lamp. Methods A cross-sectional study was conducted with a convenient sampling of 221 eyes from 139 patients with phakic eyes, visiting IVISION Eye Center, Ho Chi Minh City, Vietnam, from November 1, 2023, to April 30, 2024. Two grading systems, Lucio-Buratto (Buratto) and World Health Organization (WHO), were used to compare the effectiveness of the two devices, with statistical analysis using Spearman's correlation coefficient and Cohen's kappa to evaluate the agreement level.

EXPRESS: COGNITIVE AND AFFECTIVE PROCESSES IN CHILDREN'S THIRD-PARTY PUNISHMENT.

This study investigated how children's punishment affective states change over time, as well as when children begin to prioritise intentions over outcomes in their punishment decisions. Whereas most prior research sampled children from Anglo-America or Northwestern Europe, we tested 5- to 11-year-old children from Colombia and Spain (N = 123). We focused on punishment behaviour in response to ostensibly real moral transgressions, rather than punishment recommendations for hypothetical moral transgressions.

Low-inflammatory lipid nanoparticle-based mRNA vaccine elicits protective immunity against H5N1 influenza virus with reduced adverse reactions.

Messenger RNA vaccines based on lipid nanoparticles (mRNA-LNPs) are promising vaccine modalities. However, mRNA-LNP vaccines frequently cause adverse reactions such as swelling and fever in humans, partly due to the inflammatory nature of LNP. Modification of the ionizable lipids used in LNPs is one approach to avoid these adverse reactions.

Exactly solvable dual bus-route model.

In 1998, O'Loan et al. introduced a simplified bus-route model to illustrate bus dynamics. However, fluctuations in passenger numbers make it challenging to achieve an exact solution for the model's stationary state, as these fluctuations can impact bus behavior.

Physics of sliding on water explains morphological and behavioural allometry across a wide range of body sizes in water striders (Gerridae).

Laws of physics shape adaptations to locomotion, and semiaquatic habitats of water striders provide opportunities to explore adaptations to locomotion on water surface. The hydrodynamics of typical propelling with symmetrical strokes of midlegs is well understood, but the subsequent passive sliding on surface has not been explored. We hypothesized that morphological and behavioural adaptations to sliding vary by body size.

Detection of antibodies against H5 subtype highly pathogenic avian influenza viruses in multiple raccoons in Tokachi District, Hokkaido, Japan, from 2022 to 2023.

In recent years, infection cases of H5 subtype highly pathogenic avian influenza viruses (HPAIVs) in wild mammals have increased globally. To obtain recent epidemiological information regarding influenza A virus (IAV) infection in raccoons (Procyon lotor), the prevalence of anti-IAV antibodies in sera was analyzed among raccoons captured in Tokachi District, Hokkaido, Japan, from 2019 to 2023. Screening of serum samples using enzyme-linked immunosorbent assay and agar gel precipitation test detected anti-IAV antibodies in 5 of 114 (4.

FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning.

Federated learning (FL) enables a decentralized machine learning paradigm for multiple clients to collaboratively train a generalized global model without sharing their private data. Most existing works have focused on designing FL systems for unimodal data, limiting their potential to exploit valuable multimodal data for future personalized applications. Moreover, the majority of FL approaches still rely on labeled data at the client side, which is often constrained by the inability of users to self-annotate their data in real-world applications.

Does mandatory greenhouse gas emissions reporting program deter corporate greenwashing?

This study examines the impact of the mandatory greenhouse gas emissions reporting program (GHGRP) on corporate greenwashing behaviour. Utilising the GHGRP in the United States as a quasi-natural experiment, we perform a difference-in-difference analysis to a panel dataset of 2731 publicly listed US firms from 2007 to 2022. The data consist of annual observations of firm-level variables, including ESG performance and disclosure metrics, financial characteristics, and environmental innovation indicators.

The synergy of immersion and basic psychological needs satisfaction: Exploring gamification's impact on student engagement and learning outcomes.

The integration of gamification into educational institutions has recently attracted considerable interest, owing to the digital era and emerging learning contexts. This study examined how immersion, an essential feature of games, affects various dimensions of education, including satisfaction of basic psychological needs (BPNS), academic engagement, perceived learning effectiveness, and perceived academic performance. Based on Self-determination Theory and the Theory of Gamified Learning, this study investigated how immersion influences autonomy, competence, and relatedness among learners, which could directly affect their engagement and outcomes.

Navigating challenges in Vietnamese enterprises: An examination of the interplay between environmental regulations, organizational innovation, resilience, learning support, and performance.

This study examines the interplay between environmental regulations, organizational innovation, resilience, learning support, and performance in the Vietnamese business context. The paper explores the mutual interaction and influence among these variables. Additionally, it focuses on the indirect effects of organizational innovation and resilience, showing that organizational innovation mediates the relationship between environmental regulations and performance and resilience mediates the relationship between organizational learning support and performance.

Predictive factors for lack of neurological improvement in acute stroke patients without large vessel occlusion treated with low-dose thrombolysis and screened with 3T MRI.

Objective: The study evaluated the lack of neurological improvement and the factors influencing it in patients with acute ischemic stroke (AIS) without major arterial occlusion.

Patients And Methods: A cross-sectional study was conducted on patients diagnosed with acute ischemic stroke without significant occlusion of major arteries, with imaging evidence from 3-tesla magnetic resonance imaging (MRI) scans at the S.I.

Endovascular occlusion of vertebro-vertebral arteriovenous fistula using detachable balloons: A case report.

Vertebro-vertebral arteriovenous fistula (VV-AVF) is an uncommon vascular disorder characterized by an abnormal direct connection between the extracranial vertebral artery (VA), as well as the first and second branches of subclavian arteries, and the draining veins of the paravertebral venous plexus. Endovascular occlusion or surgical ligation of the high-flow arteriovenous fistula is the main goal of treatment for VV-AVF, but there are no guidelines for the best treatment to date. Endovascular treatment is the primary treatment procedure due to its safety, effectiveness, and simplicity.

Genetic surveillance shows spread of ACT resistance during period of malaria decline in Vietnam (2018-2020).

Introduction: Vietnam's goal to eliminate malaria by 2030 is challenged by the further spread of drug-resistant malaria to key antimalarials, particularly dihydroartemisinin-piperaquine (DHA-PPQ).

Methods: The custom targeted NGS amplicon sequencing assay, AmpliSeq Pf Vietnam v2, targeting drug resistance, population genetic- and other markers, was applied to detect genetic diversity and resistance profiles in samples from 8 provinces in Vietnam (n = 354), in a period of steep decline of incidence (2018-2020). Variants in 14 putative resistance genes, including and , were analyzed and within-country parasite diversity was evaluated.

Physiological and metabolic responses of to cadmium stress.

Unlabelled: is a significant medicinal plant indigenous to China and Vietnam. In China, is mainly grown naturally on limestone mountains or is cultivated artificially in arable land. Heavy metal contamination in agricultural soil, particularly cadmium (Cd), poses serious threats to soil health, as well as the growth and productivity of .

A study on tumor necrosis factor-α single nucleotide polymorphisms and psoriasis vulgaris in Vietnam.

This study aims to evaluate the association between tumor necrosis factor-a (TNF-α) single nucleotide polymorphisms and psoriasis vulgaris. This cross-sectional study involved 140 Vietnamese patients of Kinh ethnicity diagnosed with psoriasis vulgaris. The diagnosis of psoriasis vulgaris was based on clinical signs and symptoms.

Dataset of the relationship between authentic virtual reality experiences and tourists' visiting intentions.

After the pandemic, the demand for a rapid recovery of tourism has led to increased intense competition among destinations, posing a considerable challenge for tourism managers and destination marketers worldwide. This situation necessitates a constant seek for new, unique, and more attractive methods to promote tourism destinations. Virtual Reality (VR) emerges as a promising solution with the potential to significantly transform destination marketing activities.

Continuous Flow Photoelectrochemical Reactor with Gas Permeable Photocathode: Enhanced Photocurrent and Partial Current Density for CO Reduction.

Photoelectrochemical (PEC) CO reduction using a photocathode is an attractive method for making valuable chemical products due to its simplicity and lower overpotential requirements. However, previous PEC processes have often been diffusion-limited leading to low production rates of the CO reduction reaction, due to inefficient gas diffusion through the liquid electrolyte to the catalyst surface, particularly at high current densities. In this study, a gas-permeable photocathode in a continuous flow PEC reactor is incorporated, which facilitates the direct supply of CO gas to the photocathode-electrolyte interface, unlike dark reaction-based flow reactors.

Long-term follow-up after acute mercury poisoning-induced pneumonitis following cinnabar heating: A rare case report.

Rationale: Among 3 forms of mercury, elemental mercury vapor presents the highest threat due to its potential to cause acute pneumonitis. The management of acute mercury vapor poisoning remains unclear, particularly in acute lung injury. We present a case of mercury vapor poisoning resulting from the heating of cinnabar, successfully treated with high-dose corticosteroids and chelation therapy, and follow-up over 6 months.

Optimising Concrete Crack Detection: A Study of Transfer Learning with Application on Nvidia Jetson Nano.

The use of Artificial Intelligence (AI) to detect defects such as concrete cracks in civil and transport infrastructure has the potential to make inspections less expensive, quicker, safer and more objective by reducing the need for on-site human labour. One deployment scenario involves using a drone to carry an embedded device and camera, with the device making localised predictions at the edge about the existence of defects using a trained convolutional neural network (CNN) for image classification. In this paper, we trained six CNNs, namely Resnet18, Resnet50, GoogLeNet, MobileNetV2, MobileNetV3-Small and MobileNetV3-Large, using transfer learning technology to classify images of concrete structures as containing a crack or not.