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Background-Although PBL is effective in biology learning, this approach often triggers cognitive overload when the complexity of the material and instructional demands exceed students' working memory capacity, while ther...

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ABSTRACT Microbiology, the study of microorganisms, is of critical importance to a variety of fields, including medicine, nursing, genetics, and immunology, as well as to students training to enter those fields. By defin...

Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread ...

Abstract Integrating environmental science with STEM education can strengthen scientific literacy and technological fluency. This review synthesizes literature on phytoremediation-based instruction and proposes an interd...

Genetics, the study of heredity and genetic variation, is vital to biology education. Genome sequencing (GS), which decodes an organism’s entire DNA, represents a major advance in the field yet remains difficult for st...

ABSTRACT Proper maintenance of the cold chain is essential to ensure both food quality and safety. This laboratory activity was designed to help undergraduate students understand the microbiological implications of cold ...

BackgroundYoung women with localized breast cancer represent a clinically distinct population with heterogeneous outcomes, yet age-specific prognostic models remain limited. Conventional risk stratification tools derived...

In this paper, we propose a new visual tracking method in light of salience information and deep learning. Salience detection is used to exploit features with salient information of the image. Complicated representations...

Abstract Seed selection constitutes the initial and one of the most critical steps in agricultural productivity. The identification of high-quality seeds is a labor-intensive and costly process that requires considerable...

Abstract Background Accurate and timely estimation of nitrogen nutrition index (NNI) is critical for assessing crop nitrogen (N) status and implementing precision N management. While machine learning (ML) techniques comb...

ObjectiveCongenital Hypogonadotropic Hypogonadism (CHH) is a rare disease with an extremely low incidence, and the outcomes of fertility induction therapy in CHH patients exhibit significant interindividual heterogeneity...

Abstract Background N6-methyladenosine ( $$m^{6}A$$ ) plays a crucial role in enriching RNA functional and genetic information. While deep learning has advanced $$m^{6}A$$ site identification, current state-of-the-art me...

Abstract Cell–cell communication regulates complex biological processes in multicellular systems. Existing scRNA-seq-based methods typically aggregate gene expression by clusters, overlooking within-cluster heterogenei...

Goal: Analysis of the glottal area during vocal fold vibration has gained increasing attention. However, traditional analysis requires manual, frame-by-frame glottal area annotation to compute the glottal area waveform, ...

This study examined teachers’ pedagogical strategies for adapting non-indigenous and indigenous species in teaching the classification of living things in Biology. The research was guided by connectivism learning theor...

Abstract Atomic force microscopy (AFM) is a widely used tool for nanoscale characterization across materials science, energy research, and biology. However, its adoption in high-throughput materials discovery and statist...

In this study, the authors show that treatment with acetyl-carnitine can ameliorate learning and memory defects and hyperactivity in a mouse model of the cognitive disorder, Arboleda–Tham syndrome. Pathogenic variants ...

The current study uses machine learning and explainable AI to predict Bedaquiline (BDQ) resistance in Mycobacterium tuberculosis clinical isolates and also predicts 15 new BDQ-resistant genes from whole-genome sequencing...

Abstract Durum wheat breeding increasingly requires tools that can anticipate how genotypes respond to the shifting mix of heat and drought typical of Mediterranean drylands. In this study, we explored whether a multimod...

Abstract Background Terpenes and phenolic compounds are multifunctional plant metabolites that contribute to defense, signaling, and ecological interactions, while supporting industrial applications. Here, we implemented...

Goal: To enable comfortable and non-invasive heart rhythm monitoring, this work aims to reconstruct electrocardiogram (ECG) signals from photoplethysmogram (PPG) signals, eliminating the need for multiple electrode attac...

Background and purposeThe aging brain is particularly sensitive to alterations in selenium status. Selenium deficiency has been associated with impaired neural function, cognitive decline, and increased vulnerability to ...

The war launched by Russia has created new challenges for universities, including massive student migration abroad and massive displacement of students within Ukraine from the frontline areas. Many students lost access t...