This picture compares the performance of proline dehydrogenase gene-modified wheat with wild-type under drought stress. Under normal conditions, both grow similarly....
This systematic review synthesizes evidence on the determinants and interventions affecting doctoral students’ mental health and well-being. Analysing 56 empirical...
The image illustrates the workflow of artificial intelligence–empowered inverse design for composite materials. At the center of the figure, an AI model integrates...
Bangkok, Thailand | January 26–28, 2026 — Tech Science Press is pleased to share that John Chen, Director of Development, represented the company at the Charleston Asia Conference, where...
2026 10th International Conference on Civil Construction and Structural Engineering (I3CSE 2026)May 29–31, 2026 | Guangzhou, China Structural Durability & Health Monitoring (SDHM) is...
Inverse design of advanced materials represents a pivotal challenge in materials science. Leveraging the latent space of Variational Autoencoders (VAEs)...
Predicting the behavior of renewable energy systems requires models capable of generating accurate forecasts from limited historical data, a challenge...
Neutrophil extracellular trap (NET) formation or NETosis is a specialized innate immune process in which neutrophils release chromatin fibers decorated...
Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs: the integrated stress...
Objectives: Immunotherapy based on immune checkpoint blockade (ICB) has become a key treatment for melanoma. However, the increasing number of cases of...
Background: Photodynamic therapy (PDT) may eradicate residual malignant cells following sarcoma resection, through reactive oxygen species (ROS) mediated...
As containerized environments become increasingly prevalent in cloud-native infrastructures, the need for effective monitoring and detection of malicious...
Federated Learning (FL) has become a leading decentralized solution that enables multiple clients to train a model in a collaborative environment without...
Background: Adolescents increasingly engage with social media for connection, self-expression, and identity exploration. This growing digital engagement...
Grape (Vitis vinifera L.) cultivation has progressed from early domestication and clonal propagation to modern, data-driven breeding that is reshaping...
Circadian biorhythms are fundamental in plant adaptability and development. To reveal the effect of organic and inorganic forms of Se, foliar treatments...
Background: While the treatment of metastatic renal cell carcinoma (mRCC) is evolving due to immune checkpoint inhibitors (ICIs), optimal strategies for...
The fabrication of highly flame-retardant polyamide 6 (PA6) composites is of great significance for expanding their practical applications. Herein, a...
With the global diabetes epidemic, diabetic foot ulcers (DFUs) have become a major health burden, affecting approximately 18 million people worldwide...
Neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis...
Precast concrete structures have gained popularity due to their advantages. However, the seismic performance of their connection joints remains an area...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
The mobile internet has revolutionized our daily lives, providing continuous connectivity, communication, and access to a wide range of services and applications...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
Inverse design of advanced materials represents a pivotal challenge in materials science. Leveraging the latent space of Variational Autoencoders (VAEs)...
Predicting the behavior of renewable energy systems requires models capable of generating accurate forecasts from limited historical data, a challenge...
Neutrophil extracellular trap (NET) formation or NETosis is a specialized innate immune process in which neutrophils release chromatin fibers decorated...
Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs: the integrated stress...
Objectives: Immunotherapy based on immune checkpoint blockade (ICB) has become a key treatment for melanoma. However, the increasing number of cases of...
Background: Photodynamic therapy (PDT) may eradicate residual malignant cells following sarcoma resection, through reactive oxygen species (ROS) mediated...
As containerized environments become increasingly prevalent in cloud-native infrastructures, the need for effective monitoring and detection of malicious...
Federated Learning (FL) has become a leading decentralized solution that enables multiple clients to train a model in a collaborative environment without...
Background: Adolescents increasingly engage with social media for connection, self-expression, and identity exploration. This growing digital engagement...
Grape (Vitis vinifera L.) cultivation has progressed from early domestication and clonal propagation to modern, data-driven breeding that is reshaping...
Circadian biorhythms are fundamental in plant adaptability and development. To reveal the effect of organic and inorganic forms of Se, foliar treatments...
Background: While the treatment of metastatic renal cell carcinoma (mRCC) is evolving due to immune checkpoint inhibitors (ICIs), optimal strategies for...
The fabrication of highly flame-retardant polyamide 6 (PA6) composites is of great significance for expanding their practical applications. Herein, a...
With the global diabetes epidemic, diabetic foot ulcers (DFUs) have become a major health burden, affecting approximately 18 million people worldwide...
Neurodegenerative diseases (NDs) such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis...
Precast concrete structures have gained popularity due to their advantages. However, the seismic performance of their connection joints remains an area...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
The mobile internet has revolutionized our daily lives, providing continuous connectivity, communication, and access to a wide range of services and applications...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
Background: There has been an increasing number of studies documenting the application of the right axillary thoracotomy (RAT) approach for the repair of congenital heart diseases. However, no research has reported the RAT approach in repairing the anomalous aortic origin of a coronary artery (AAOCA). This study aims to investigate the feasibility and safety of the RAT approach for repairing AAOCA in children. Methods: We performed a retrospective study at the Children’s Hospital of Chongqing Medical…
Objective: The objective of this study was to understand intraoperative risk factors for post-Norwood extracorporeal membrane oxygenation (ECMO) in patients with hypoplastic left heart syndrome (HLHS). Methods: We conducted a retrospective, single-institution review of all patients with HLHS who underwent a Norwood procedure (nadir cardiopulmonary bypass temperature ≤ 22°C) over a 12-year period with quantitative and qualitative analysis. Results: Of 102 Norwood patients, 14 (13.7%) required ECMO. ECMO patients had longer median cardiopulmonary bypass (CPB) times (276…
Background: Four-dimensional (4D) ultrasound is increasingly being used for prenatal diagnosis of congenital heart disease (CHD). We aimed to perform a systematic review and meta-analysis to evaluate its diagnostic accuracy for fetal CHD. Methods: This systematic review was conducted in accordance with the PRISMA-DTA guidelines. We systematically searched eight databases for studies published up to July 22, 2025. Data were extracted to calculate diagnostic accuracy metrics, study quality was assessed using QUADAS-2, and a bivariate random-effects…
Background: We evaluated surgical outcomes of biventricular repair for atrioventricular septal defect (AVSD) with tetralogy of Fallot (TOF) or double-outlet right ventricle (DORV). Methods: This retrospective pilot study included 12 patients who underwent biventricular repair of AVSD with TOF (n = 6) or DORV (n = 6) between 2004 and 2023. Right ventricular outflow tract (RVOT) reconstruction was performed using transannular patch (TAP, n = 4) or pulmonary valve preservation (PVP, n = 8). Clinical outcomes, including…
Background: In the 1990s, there were few multicenter research collaborations and pediatric cardiovascular clinical trials. The National Heart, Lung, and Blood Institute at the National Institutes of Health established the Pediatric Heart Network (PHN) in 2001 to stimulate multi-center collaboration and clinical studies in children and adults with congenital heart disease (CHD) and pediatric acquired heart disease. Methods: The PHN developed a flexible infrastructure for multi-center collaborative clinical research in children and adults with CHD and…
Uhl’s anomaly is an exceedingly rare (fewer than 1 in 1,000,000 live births) and often fatal congenital heart disease characterized by the near-complete absence of the right ventricular (RV) myocardium. Although typically considered sporadic, we report a familial case suggesting an inherited etiology. A 12-year-old boy presented with exertional chest pain and a decade-long history of an abnormal cardiac silhouette. Comprehensive imaging revealed apical RV wall thinning, aneurysmal bulging with trabeculations, and severely impaired RV…
Background: An increasing number of patients with Fontan circulation are reaching adulthood; however, long-term outcomes remain limited by Fontan failure, which is characterized by elevated central venous pressure (CVP) and reduced cardiac output. Red blood cell distribution width (RDW), a readily available hematological parameter, is a known prognostic marker of heart failure. However, its relationship with invasive hemodynamics in adolescent and adult Fontan patients has not been fully examined. Objectives: To clarify the association between RDW…
Background: We aimed to explore the value of echocardiography plus cardiopulmonary exercise testing (CPET) for predicting the functional status and adverse outcomes of adult patients with congenital heart disease (CHD), and to develop a multivariate prediction model. Methods: Subjects (135 in total) in this single-center prospective cohort study were enrolled from adult patients suffering from CHD treated in this hospital during January 2021 and August 2023. Standardized echocardiography and CPET were conducted on all subjects at…
Obstructed infradiaphragmatic total anomalous pulmonary venous return (TAPVR) in premature infants presents significant management challenges due to the high surgical risk in low-birth-weight, preterm neonates. We present strategies for managing this condition in a 10-day old 1.3 kg ex-32-week premature infant including late umbilical venous access, use of wire-snare rail for stable stent deployment, and monitoring for progressive multi-level obstruction. Long-term follow-up demonstrated spontaneous stent fracture and occlusion. This approach successfully bridged to definitive repair
Atherosclerotic cardiovascular disease remains the leading cause of global mortality, with low-density lipoprotein cholesterol established as a primary causal risk factor. Despite widespread implementation of statin therapy, substantial interindividual variability in treatment response persists, necessitating precision medicine approaches to optimize therapeutic outcomes. This comprehensive narrative review synthesizes current understanding of pharmacogenomic determinants influencing lipid-lowering therapy efficacy, examines mechanisms underlying residual cardiovascular risk, and evaluates emerging therapeutic modalities targeting previously unexploited pathways in lipid metabolism. Genetic…
Background: During the surgical repair of complex congenital heart disease (CCHD), a subset of patients is unable to tolerate abrupt postoperative hemodynamic shifts, which can lead to significant complications. To mitigate this risk, certain abnormal venous channels are deliberately left open at the conclusion of surgery to provide a decompressive route, thereby reducing the likelihood of pulmonary hypertensive crises. Nevertheless, the continued patency of these vessels may induce chronic hemodynamic disturbances, often requiring subsequent treatment. This…
Background: Coronary artery disease (CAD) is a major global health concern requiring efficient and accurate diagnostic methods. Manual interpretation of coronary computed tomography angiography (CTA) images is time-consuming and prone to interobserver variability, underscoring the need for automated segmentation and stenosis detection tools. Methods: This study presents a hybrid multi-scale 3D segmentation framework utilizing both 3D U-Net and Enhanced 3D U-Net architectures, designed to balance computational efficiency and anatomical precision. Processed CTA images from the ImageCAS…
Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features. This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers: Basic, Conversion & Stability (efficiency and volatility across actions), and Advanced Interactions & Activity (cross-behavior synergies and intensity). Using real Taobao (Alibaba’s primary e-commerce platform) logs (57,976 records for 10,203 users; 25 November–03 December 2017), we conducted a hierarchical, layer-wise evaluation that holds data splits…
Lithium manganese silicate (Li-Mn-Si-O) cathodes are key components of lithium-ion batteries, and their physical and mechanical properties are strongly influenced by their underlying crystal structures. In this study, a range of machine learning (ML) algorithms were developed and compared to predict the crystal systems of Li-Mn-Si-O cathode materials using density functional theory (DFT) data obtained from the Materials Project database. The dataset comprised 211 compositions characterized by key descriptors, including formation energy, energy above the…
The glass transition temperature (Tg) of styrene-butadiene rubber (SBR) is a key parameter determining its low-temperature flexibility and processing performance. Accurate prediction of Tg is crucial for material design and application optimisation. Addressing the limitations of traditional experimental measurements and theoretical models in terms of efficiency, cost, and accuracy, this study proposes a machine learning prediction framework that integrates multi-model ensemble and Bayesian optimization by constructing a multi-component feature dataset and algorithm optimization strategy. Based on…
This work addresses optimality aspects related to composite laminates having layers with different orientations. Regression Neural Networks can model the mechanical behavior of these laminates, specifically the stress-strain relationship. If this model has strong generalization ability, it can be coupled with a metaheuristic algorithm–the PSO algorithm used in this article–to address an optimization problem (OP) related to the orientations of composite laminates. To solve OPs, this paper proposes an optimization framework (OFW) that connects the…
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