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The intricacy of real-world challenges in project-based geoscience learning is complex to assess with a STEM approach; hence, research into an effective model is necessary to address current issues in education. Understanding the role of STEM in resolving challenging real-world issues requires integrating STEM literacy that is appropriate for geoscience education. This study examines the effectiveness of the Project-Based Geoscience Learning (PJBGL) model in enhancing STEM literacy. By integrating project-based learning with geoscience, the aim is to create an interactive and immersive learning environment. The study seeks to contribute to knowledge about the effectiveness of this model compared to the conventional model. The aim was to evaluate the PJBGL model's impact on students' literacy, particularly in the geosciences. The study utilized a pretest-posttest control group design with 33 students, 19 in the experimental group and 14 in the control group, collecting STEM literacy data using a test instrument and analyzing the data with the Mann-Whitney test. Effect Size calculation using Cohen's d and increased STEM literacy was tested with the N-Gain formula. The research results show that the PJBGL model is more effective in increasing STEM literacy in geoscience learning than the conventional learning model. This finding holds implications for educators and curriculum developers seeking innovative strategies to cultivate students' STEM literacy

In today's fast-paced ICT-driven world, understanding the factors influencing the effectiveness of online teaching and learning is paramount, especially during the Movement Control Order (MCO) when physical educational activities are restricted. Assessing the efficacy of undergraduate students under these circumstances can be particularly challenging, and the resulting conclusions may vary depending on the context. Consequently, this study is driven by three primary objectives. Firstly, this study seeks to employ factor analysis as a robust method for validating the selected online teaching and learning instruments. Secondly, it endeavors to categorize the survey instruments into distinct core variables using Principal Axis Factor analysis. Additionally, the study aims to harness multiple regression analysis to uncover the factors influencing the efficiency of online teaching and learning. To achieve these objectives, an online questionnaire was administered to 107 students enrolled in a university in Malaysia. The collected data were analyzed using Statistical Package for the Social Sciences (SPSS). The results of the multiple regression analysis revealed that lecturer roles and student attitudes have significant positive relationships with the success of online teaching and learning. In contrast, flexibility exhibited a significant but inverse association. Despite the global transition into the endemic phase of COVID-19, this study aspires to furnish valuable insights for lecturers, students, and university administrators regarding the ongoing practices of online teaching and learning. Ultimately, these insights can empower policymakers to formulate optimal strategies thereby benefiting all stakeholders involved. In conclusion, this study acknowledges its limitations and offers recommendations for further research.

Background and Aim: Avian influenza is a global threat to avian species, particularly in developing countries. Recombinant vaccines, including virus-like particles (VLPs), are promising strategies for preventing the spread of the disease. VLPs produced through the self-assembly of viral structural proteins without genomic material mimic native virions and are promising platforms for new vaccines. VLPs have been shown to elicit protective antibodies and are effective and safe vaccines against influenza. This study aimed to optimize the protocol for the production and characterization of H9N2 VLPs and their evaluation as a vaccine in broiler birds. Materials and Methods: Low-pathogenic influenza virus (LPAI) H9N2 was isolated and characterized through whole-genome sequencing, and a VLP-based vaccine for LPAI H9N2 was prepared using a baculovirus expression system. Codon-optimized hemagglutinin (HA), neuraminidase (NA), and M1 were successfully cloned in pFastbac1 and expressed in SF9 cells. Proteins were characterized using sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE), western blotting, and electron microscopy after purification. Semi-purified proteins were tested as a vaccine in broiler chickens challenged with LPAI H9N2. Results: Recombinant Bacmid DNA from positive clones was extracted and confirmed using a polymerase chain reaction. The transfection showed cytopathic effects, and the proteins were confirmed through western blotting and SDS-PAGE, which showed the sizes of HA = 62–64 KD, NA = 52 KD, and M1 = 25 KD. The shape and morphology were confirmed through transmission electron microscopy which revealed 100–150 nm size particles. As a result, the semi-purified VLPs (HA assay: 256) were tested as a vaccine for specific-pathogen free broiler birds; administered through subcutaneous and intranasal routes. The birds were challenged on the 28th day after vaccination with the H9N2 strain, and the birds showed significant cross-reactivity with the H9N2 strain. Conclusion: The semi-purified VLP-based vaccine induced a significant immune response in vivo. This vaccine formulation has the potential to control avian influenza outbreaks in Pakistan’s poultry industry.

Phytogenic feed additives (PFA) have been studied in many poultry researches primarily as growth promoters due to the growing interest in using natural products in farming. However, few researchers opted to study Piper betle and Alpinia galanga as growth promoters in broilers despite these plants' abundance of beneficial phytoconstituents. Thus, this narrative review aims to provide insights to the readers on the characteristics and properties of Piper betle and Alpinia galanga to be used as growth promoters. This article also reviewed previous research on supplementing Piper betle and Alpinia galanga in broiler in-vivo studies. Issues and knowledge addressed in this review article help poultry researchers and industry to explore the potential of Piper betle and Alpinia galanga to improve the performance of poultry flocks in the future.

Abstract Addressing the challenge of automatically segmenting anatomical structures from brain images has been a long-standing problem, attributed to subject- and image-based variations and constraints in available data annotations. The Segment Anything Model (SAM), developed by Meta, is a foundational model trained to provide zero-shot segmentation outputs with or without interactive user inputs, demonstrating notable performance on various objects and image domains without explicit prior training. This study evaluated SAM’s performance in brain tumor segmentation using two publicly available Magnetic Resonance Imaging (MRI) datasets. The study analyzed SAM’s standalone segmentation as well as its performance when provided user interaction through point prompts and bounding box inputs. SAM exhibited versatility across configurations and datasets, with the bounding box consistently outperforming others in achieving superior localized precision, with average Dice scores of 0.68 for TCGA and 0.56 for BRATS, along with average IoU values of 0.89 and 0.65, respectively, especially for tumors with low-to-medium curvature. Inconsistencies were observed, particularly in relation to variations in tumor size, shape, and textural features. The conclusion drawn from the study is that while SAM can automate medical image segmentation, further training and careful implementation are necessary for diagnostic purposes, especially with challenging cases such as MRI scans of brain tumors.

Marginal land has low nutrient content (nitrogen, phosphorus, potassium). Addressing nutrient deficiencies on marginal land requires a strategic approach. Biological fertilizers like Arbuscular Mycorrhizal Fungi (AMF) and plant growth-promoting rhizobacteria (PGPR) enhance nutrient availability through symbiotic interactions. In addition, organic fertilizers such as compost could provide organic matter and improve soil structure to increase plant growth and productivity. Combining these three fertilizers with the addition of low doses of NPK fertilizer can increase the growth and productivity of maize crops on sub-marginal land. This study aims to determine the effect of AMF, consortium of PGPR, and a low dose of NPK on the growth and productivity of maize and soil nutrients on sub-marginal land by measuring plant growth up to 8 WAP (week after planting) (parameters: plant height, stem diameter, number of leaves, leaf area, chlorophyll content, stomatal density) and productivity (parameters: cob length, cob weight with husk, fresh weight, dry weight) and levels of N, P, and K elements at 8 WAP in the soil after planting. All treatments showed an increase in the level of N and K elements, while the P element showed a decrease compared to the control (soil without treatment). Moreover, each parameter did not show a significant difference, but the P2 (Compost + PGPR consortium + AMF + 50% of NPK) treatment showed the best growth and productivity. Overall, the data showed the utilization of PGPR and AMF combination was able to reduce the usage of chemical fertilizer by 50%.

Introduction: Usage of mobile applications can be the game changer in managing diabetes patients and reducing the percentage of uncontrolled diabetes cases in Malaysia. This study aimed to measure the effectiveness of the locally developed diabetes mobile applications in improving knowledge, compliance and control of Type 2 Diabetes Mellitus patients. Methods: In the first phase, content of the mobile application was developed using Nominal Group Technique discussion by 11 experts. The produced prototype, My Diabetes Apps© undergone the second phase of pilot study for validation, SKAMA evaluation form. Final third phase interventional study was conducted in two districts in the state of Kedah (Kuala Muda as the control group, Kota Setar as the intervention group), involving eight health clinics. 82 respondents were selected using multi-stage random sampling technique among uncontrolled Diabetes Mellitus patients over four months. Results: Thirteen key contents recommended by the expert panels as mandatorily important for diabetic patients. The mean(±sd) usability score of My Diabetes Apps was 86 (±10.90), indicating the usability of the mobile application. The intervention study found there was significant difference in the mean knowledge score between the control group and the intervention group [F(1.79)=42.27; p

Abstract Background In Malaysia, despite a decline in cases, malaria remains a major public health concern, especially among the vulnerable indigenous people (i.e. Orang Asli) in remote areas. Effective preventive and control measures require an evidence-based understanding of their knowledge, attitudes, and practices (KAP) regarding malaria. This study aimed to evaluate the KAP regarding malaria in an indigenous settlement in Peninsular Malaysia. Methods A household-based cross-sectional study was conducted in March 2024 in six Semai sub-ethnic indigenous villages in Pos Lenjang, Kuala Lipis, Pahang. A structured questionnaire was administered to randomly selected individuals (≥ 12 years old) to collect data on sociodemographic characteristics and KAP. Data were analysed using descriptive statistics and predictors of KAP were determined using logistic regression. A p-value less than 0.05 was considered statistically significant. Results A total of 267 individuals from 160 households were interviewed. Nearly half had good knowledge (49.4%) and positive attitudes (54.3%) towards malaria, with high practice scores for prevention and control (83.1%). Multivariate logistic regression analysis showed higher odds of good knowledge in those aged 40–59 years (adjusted odd ratio [aOR] = 6.90, p = 0.034), with primary (aOR = 2.67, p = 0.015) or secondary education (aOR = 2.75, p = 0.019), and with previous malaria history (aOR = 5.14, p

The endorsement of rights and freedoms in the constitution does not in any way mean that they are unleashed without restrictions, as the purpose of setting these restrictions is to create a kind of balance between the rights of citizens on the one hand and the rights of public authorities on the other hand, however these restrictions may be multiple, including What is constitutional, including what is legislative, and for the sake of real protection of rights and freedoms from restriction, especially legislative restriction. According to the laws and regulations issued by the authorities, as monitoring the constitutional judiciary is one of the most important components of building a democratic state, and therefore the constitutional judiciary oversight of the actions issued by the public authorities, especially the legislative authority, is necessary.

Fuel, a petroleum derivative, contributes to soil pollution because of its hydrocarbons, which are difficult to decompose. Bioremediation can assist by introducing microbes that are capable of degrading hydrocarbons and enhancing this process by adding nutrients. This study validated previous research by adding the most optimum nutrients, bacteria with the right ratio, and pre-treatment of soil washing on the degradation value of hydrocarbons in crude oil-contaminated soil. Pre-treatment involved washing the soil with surfactant tween-80, determining the type of mixed bacterial culture variables, adding varying concentrations of inoculum and inorganic nutrients, and determining the optimal total petroleum hydrocarbon (TPH) reduction. The study found that the provision of nutrients, bacteria, and pre-treatment in soil washing had no significant effect on the original soil TPH.

Approximately 45% of the human genome is comprised of transposable elements (TEs), also known as mobile genetic elements. However, their biological function remains largely unknown. Among them, retrotransposons are particularly abundant, and some of the copies are still capable of mobilization within the genome through RNA intermediates. This review focuses on the life cycle of human retrotransposons and summarizes their regulatory mechanisms and impacts on cellular processes. Retrotransposons are generally epigenetically silenced in somatic cells, but are transcriptionally reactivated under certain conditions, such as tumorigenesis, development, stress, and ageing, potentially leading to genetic instability. We explored the dual nature of retrotransposons as genomic parasites and regulatory elements, focusing on their roles in genetic diversity and innate immunity. Furthermore, we discuss how host factors regulate retrotransposon RNA and cDNA intermediates through their binding, modification, and degradation. The interplay between retrotransposons and the host machinery provides insight into the complex regulation of retrotransposons and the potential for retrotransposon dysregulation to cause aberrant responses leading to inflammation and autoimmune diseases.