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276 articles for “Express.js”
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An AAV Vector for Inducible Gene Expression Preferentially in Muscles
Abstract: Adeno associated viral (AAV) vectors has been used widely in gene therapy and efforts have been made to improve their utility by adding genetic elements that would enable targeting transgene expression to particular cells or tissues of interest and permitting on/off regulation of expression. In this study, we designed a recombinant AAV9 variant PHP.eB vector with muscle creatine kinase (Mck)-derived enhancers, a synthetic muscle-expression promoter, in combination with a third-generation …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 46–61 Read article
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Gene Expression Profiling in Autism Spectrum Disorder: A Microarray Analysis Using Gse42133
Abstract: Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental disorder characterized by difficulties in social interaction, communication impairments, and restricted or repetitive patterns of behavior. Despite its increasing prevalence, the underlying molecular mechanisms remain poorly understood. Advances in transcriptomics offer opportunities to investigate the gene expression changes that may contribute to ASD pathophysiology. In this study, the microarray dataset GSE42133 was analyzed, which comprises gene expression profiles from peripheral blood samples …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 37–48 Read article
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Exploring the Impact of Artistic Expression on Children's Emotional Well-being: A Review
Abstract: Aim: The purpose of the review was to focus on how art therapy could improve children's mental health, particularly for those who are dealing with psychological or emotional difficulties. Children can communicate feelings and experiences that they might find difficult to express verbally via art therapy, a type of therapy that makes use of artistic expression. The review explores developmental ideas, including Malaguzzi's Reggio Emilia method, which encourages self-expression via …
Published in International Journal of Children · Vol. 2, Issue 1, 2025 · pp. 27–31 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Light-Dark Cycle Disruption in Hypothalamus Tissue of Mus Musculus Causes Change in the Expression of Gm45928 Gene
Abstract: The majority of organisms on earth display consistent 24-hour rhythms in their physiology and behavior due to circadian biology. Light and dark cycles play a key role in setting our internal body clock, which controls things like our sleep patterns, hormone levels, body temperature, and metabolism. The disruption of the light-dark cycle has significant effects on the molecular and behavioral rhythms of the circadian clock of hypothalamus. Gm45928 is a …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 32–46 Read article
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Computer, Animation and Aesthetic Expressions
Abstract: The integration of computers, animation, and aesthetic expressions has revolutionized creative industries, enabling the development of highly immersive and visually engaging content. This interdisciplinary field combines computer science, digital animation techniques, and the principles of visual aesthetics to craft experiences that resonate with audiences on both intellectual and emotional levels. Through advanced algorithms, artificial intelligence, and innovative rendering techniques, modern animation blends technical precision with artistic design to create dynamic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 01–06 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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Impact of AI Tools on the Development of Expressive Language Skills of Children with Intellectual Disability at the Primary Level
Abstract: Expressive language skills are important for everyone for an independent life. Human interaction is being forced to be replaced by technology. The impact of language skills of children is limited due to attention towards technology and artificial intelligence (AI) tools. This study aims to connect the AI tools like ChatGPT and Google AI Studio to develop the expressive language skills of children with mild to moderate intellectual disability. A quasi-experimental …
Published in International Journal of Children · Vol. 3, Issue 1, 2026 · pp. 8–16 Read article
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Impact of a Structured Educational Program on Awareness of the Janani Shishu Suraksha Yojana (JSSY) Among Expectant Mothers in a Designated Primary Health Center in Bengaluru
Abstract: The Janani Shishu Suraksha Karyakram (JSSK) was launched to offer comprehensive support services including cost-free delivery, transportation, medications, diagnostic services, blood, and nutrition to expectant mothers and ill infants up to a year old at public healthcare facilities. This research utilized a quantitative methodology, adopting a pre-experimental design with a single group evaluated before and after the intervention. Information was gathered using a systematically designed questionnaire. RESEARCH DESIGN: This study …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 45–50 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Diet-Gene Interactions in Farm Animals: Molecular Dynamics, Gene Expressions, Signalling Pathways and Precision Nutrition for Sustainable Productivity
Abstract: Diet-gene interactions represent a central mechanism through which nutrition influences growth, health, and productivity in farm animals. Recent advances in molecular biology and genetics have revealed that nutrients act not only as metabolic substrates but also as signalling molecules capable of modulating gene expression, cellular pathways, and epigenetic regulation. This review synthesizes current knowledge on the molecular dynamics of nutrient utilization in farm animals, with emphasis on nutrigenomic responses, nutrient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Differential Gene Expression Analysis of Human Atrial Fibroblasts Reveals Dysregulation of RNA Metabolism and Translational Machinery in Atrial Fibrillation
Abstract: Atrial fibrillation (AF) is a complex cardiac arrhythmia characterized by extensive structural remodeling and the activation of atrial fibroblasts, which drive the progression of fibrosis. To identify the underlying transcriptomic alterations, we analyzed six human atrial fibroblast RNA-Seq datasets (three control and three AF) retrieved from the Sequence Read Archive. After performing rigorous quality control and adapter trimming, we aligned the reads to the GRCh38 human reference genome using a …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 15–25 Read article
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Application of pET28a Vector for the Over Expression of Recombinant Human Tim23 Protein in E. coli and its Validation by Immunoblotting
Abstract: This study aimed to produce recombinant human Tim23 protein by molecular cloning, expression, and purification. Amplification of human TIM23 was carried out by polymerase chain reaction (PCR) and cloned into DH5α cells. The pET28a-human TIM23 was transformed into BL21DE3 and expressed the gene by IPTG induction. Recombinant pure human Tim23 antigen was prepared, and injected into rabbits and polyclonal antibodies were raised, which was confirmed by western blotting. The transformed …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 32–44 Read article
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Long Non-Coding RNAs: Key Regulators of Gene Expression in Development and Disease
Abstract: Long non-coding RNAs (lncRNAs) are RNA molecules that do not make proteins but are essential for controlling how genes are turned on or off in the body. These molecules help with various biological functions, such as guiding cell growth, shaping development, and influencing the progression of diseases. Recent advancements in genomics and transcriptomics have revealed the vast and complex roles of lncRNAs, with an increasing recognition of their involvement in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 11–15 Read article
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Expression Profiling of Immunomodulatory Genes in Canine Adipose Tissue–Derived Mesenchymal Stem Cells
Abstract: Adipose tissue–derived mesenchymal stem cells (AT-MSC) represent a heterogeneous population of self-renewing, multipotent progenitor cells residing in the stromal compartment of adipose tissue. Canine adipose tissue-derived mesenchymal stem cells have attracted significant interest in regenerative medicine due to their therapeutic potential in naturally occurring canine diseases and their translational relevance to human medicine. In the present study, canine adipose tissue–derived MSCs (cAT-MSCs) were isolated and differentiated into osteogenic, chondrogenic and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 Read article
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AI Chatbot for Expressing Visual Content
Abstract: Recently, the artificial intelligence (AI) chatbot for expressing visual content has shown remarkable multi-modal capabilities. It can recognize funny features in photos and create webpages straight from handwritten text. These characteristics are uncommon in earlier vision language models. We think the use of a more sophisticated large language model (LLM) is the main factor behind vision verbalizer's superior multi-modal generating capabilities. We introduce vision verbalizer, which employs a single projection …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 11–19 Read article
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Barriers to Student Expression on Mental Health
Abstract: It focuses on the challenges faced by students in openly expressing their opinions and emotions regarding mental health, which is an essential yet often sensitive topic. The research, conducted upon 52 students with an age range of 18 to 26, highlights the perceptions students have about mental health and the difficulties they face in seeking help. Even though 78.4% of the respondents emphasized the need for increased mental health awareness, …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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Cloud Driven Smart Car Parking System
Abstract: Effective infrastructure management has been forced to evolve as a result of urbanisation, particularly in the transportation sector. Among the various challenges faced by urban mobility, effective parking management is a crucial concern. The "Cloud Driven Smart Car Parking System" a state-of-the-art innovation that combines cloud-integrated technologies to revolutionise urban parking, is introduced in this research. The essay discusses the serious drawbacks of traditional parking management systems and highlights the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 1, 2024 · pp. 30–37 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Construction and Development of pSB111 Bar Plasmid Vector for Activation Tagging
Abstract: To get desired traits and to know the precise expression patterns of genes in the plant, Agrobacterium tumefaciens has been widely employed in the generation of transgenic plants using plasmid vectors. Many methods are come forward to establish the gene expression of unknown genes but in these techniques gene alteration isthe main drawback orsometimesit islethal to organisms also, to overcome these problems activator tag method developed to know the specific …
Published in Research & Reviews : Journal of Botany Read article