This survey presents a comprehensive review of adversarial reinforcement learning (ARL) techniques for intrusion detection in Internet of Things (IoT) environments....
This study presents a novel wind barrier based on the Tesla valve concept, developed to improve the aerodynamic safety of high-speed trains exposed to extreme crosswind...
This picture compares the performance of proline dehydrogenase gene-modified wheat with wild-type under drought stress. Under normal conditions, both grow similarly....
Gratitude, Growth, and Global Engagement The Canadian Journal of Urology (CJU) is pleased to share its 2025 annual highlights. Over the past year, the journal has maintained steady growth,...
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...
Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis...
Internet of Things (IoTs) devices are bringing about a revolutionary change our society by enabling connectivity regardless of time and location. However,...
Ultra-high-strength aluminum alloy profile is an ideal choice for aerospace structural materials due to its excellent specific strength and corrosion...
Adversarial Reinforcement Learning (ARL) models for intelligent devices and Network Intrusion Detection Systems (NIDS) improve system resilience against...
Predicting the precise impacts of climate change on extreme winds remains challenging, yet strong storms are widely expected to occur more frequently...
For hypersonic air-breathing vehicles, the V-shaped leading edges (VSLEs) of supersonic combustion ramjet (scramjet) inlets experience complex shock interactions...
Background: Mental health concerns among doctoral students have become increasingly prominent, with consistently low levels of well-being making this...
Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research...
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...
In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon...
Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient...
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...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
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,...
Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis...
Internet of Things (IoTs) devices are bringing about a revolutionary change our society by enabling connectivity regardless of time and location. However,...
Ultra-high-strength aluminum alloy profile is an ideal choice for aerospace structural materials due to its excellent specific strength and corrosion...
Adversarial Reinforcement Learning (ARL) models for intelligent devices and Network Intrusion Detection Systems (NIDS) improve system resilience against...
Predicting the precise impacts of climate change on extreme winds remains challenging, yet strong storms are widely expected to occur more frequently...
For hypersonic air-breathing vehicles, the V-shaped leading edges (VSLEs) of supersonic combustion ramjet (scramjet) inlets experience complex shock interactions...
Background: Mental health concerns among doctoral students have become increasingly prominent, with consistently low levels of well-being making this...
Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research...
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...
In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon...
Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient...
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...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
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,...
As education continues to evolve alongside artificial intelligence, there is growing interest in how large language models (LLMs) can support more personalized and intelligent learning experiences. This study focuses on building a domain-specific question answering (QA) system tailored to computer science education, with a particular emphasis on Java programming. While transformer-based models such as BERT, RoBERTa, and DistilBERT have demonstrated strong performance on general-purpose datasets like SQuAD, they often struggle with technical educational content where…
Math-inspired metaheuristic algorithms stand out with their simple algorithm structures and the inclusion of fewer control parameters. In this study, the recently proposed math-inspired Quadratic Interpolation Optimization (QIO) algorithm was improved as a clustering-based algorithm and then applied to retinal vessel segmentation. Afterwards, its performance was compared with the math-inspired Sine Cosine Algorithm (SCA) and Arithmetic Optimization Algorithm (AOA), which have been frequently applied to engineering problems. First, the performance of the QIO algorithm was…
This paper presents a comprehensive investigation into the development and evaluation of Convolutional Neural Network (CNN) models for limited-vocabulary spoken word classification, a fundamental component of many voice-controlled systems. Two distinct CNN architectures are examined: a timeseries 1D CNN that operates directly on the temporal waveform samples of the audio signal, and a 2D CNN that leverages the richer time–frequency representation provided by spectrograms. The study systematically analyzes the influence of key architectural and training…
Background: The expression of the interleukin-6 (IL-6) gene promoter and its variations in postmenopausal women of Javanese ethnicity remains unexplored. This study aimed to examine IL-6 promoter polymorphisms at positions -174G/C, -572G/C, -597A/G, and -634C/G and their associations to osteoporosis status in Javanese postmenopausal women. Methods: A cross-sectional study was conducted at an elderly integrated service post in Sidoarjo, Indonesia. Among 699 screened individuals, 66 postmenopausal women fulfilled the inclusion and exclusion criteria. Bone mineral…
Background: Interferon-stimulated gene 15 (ISG15) is a small ubiquitin-like protein that can be conjugated to its target proteins through an enzymatic cascade known as ISGylation, thereby altering their function. Elevated levels of free ISG15 (non-conjugated) and ISGylation are observed in several cancer types, including medulloblastoma (MB) a malignant pediatric cerebellar tumor categorized into four molecular subgroups: Wingless, Sonic Hedgehog, Subgroup 3 (G3), and Subgroup 4 (G4). However, ISG15 gene expression in MB remains unexplored. In…
Background: Psoriasis is a challenging immune-mediated dermatological disorder with an urgent need for effective clinical therapeutics, while astilbin has shown considerable efficacy in suppressing psoriasis progression, its underlying mechanisms are not fully clarified. This study aimed to systematically investigate the anti-psoriatic effects of astilbin and to elucidate its potential mechanisms of action. Methods: A psoriasis-like mouse model was established via cold water swimming, dietary restriction, and topical application of 5% propranolol emulsion, followed by daily…
Background: Glioblastoma is a lethal primary brain tumor that is therapeutically challenging due to its rapid progression. Interferon-gamma (IFN-γ) signaling is altered in glioblastoma. Moreover, proteolytic enzymes, known as proteases, have been linked to the invasive growth of cancerous cells. In this study, we aimed to identify a glioblastoma-associated protease group and to determine its potential connection with IFN-γ signaling. Methods: Using cancer expression databases, we analyzed the differential expression of 35 proteases in glioblastoma…
Immunotherapy has demonstrated limited efficacy in immunologically “cold” breast cancers characterized by absent T-cell infiltration and inadequate interferon signaling. The purpose of this work is to propose and articulate a mechanistic and therapeutic framework in which mitochondrial stress is deliberately harnessed to convert immunologically “cold” breast tumors into “hot,” T cell–inflamed, immunotherapy-responsive lesions. This review synthesizes emerging evidence positioning mitochondrial stress as a strategic lever to transform these immune-excluded tumors into inflamed, therapy-responsive lesions. We…
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…
Guest Editors: Fátima Martel Deadline: 30 November 2026
Guest Editors: Emilio Cervantes Deadline: 31 October 2026
Guest Editors: Maria Letizia Motti; Immacolata Belviso Deadline: 31 October 2026
Guest Editors: Batyrkhan Omarov; Daniyar Sultan; Bakhytzhan Kulambayev Deadline: 30 October 2026
Guest Editors: Daniel-Ioan Curiac; Dan Pescaru Deadline: 15 October 2026
Guest Editors: Barmak Honarvar Shakibaei Asli Deadline: 01 October 2026
Guest Editors: Antonella Petrillo; Fabio De Felice Deadline: 30 September 2026
Guest Editors: Sergio Cassese; Giuseppe Gallo Deadline: 30 September 2026
Guest Editors: Mohammad Shokouhifar; Frank Werner Deadline: 31 August 2026
Guest Editors: Dulf Eva-H.; Kovacs Levente; Denes-Fazakas Lehel; Pintea Paul-Andrei Deadline: 31 August 2026
Guest Editors: Hoon Ko; Marek R. Ogiela Deadline: 31 July 2026
Guest Editors: Jevier Bermejo Higuera; Juan Ramón Bermejo Higuera Deadline: 31 July 2026
Guest Editors: Shyi-Chyi Cheng; Naomi A. Ubina Deadline: 31 July 2026
Guest Editors: Wenfeng Zheng; Lirong Yin; Shan Liu Deadline: 30 June 2026
Guest Editors: Consolato M. Sergi Deadline: 30 June 2026
Guest Editors: Snježana Kaštelan; Ivica Lukšić; Jelena Juri Mandić; Matija... Deadline: 30 June 2026






