Assumption College

A green chemistry approach for the preparation of copper nanoparticles (CuNPs) using leaf extract of Hyptis capitata has been discussed. The presence of polyphenolic compounds and flavonoids in this plant was already confirmed and communicated by former researchers in their phytochemical studies. These biomolecules are efficient reducing and capping agents. After the successful synthesis, the CuNPs were characterized by UV-visible spectroscopy, FT-IR, XRD, HR-TEM, EDX, DLS, Zeta potential analyzer, and TGA techniques. The optical and morphological properties of CuNPs were elucidated using these characterization analyses. The average crystal size was found to be 12 nm. The characteristic SPR peak of CuNPs was obtained at 222.5 nm in the UV-visible absorption spectrum. CuNPs capped with HC leaf extract have the potential for catalytic transformation of pollutants methyl orange dye and 4-nitro phenol in aqueous system. Phytochemically stabilized CuNPs can inhibit the growth of gram-positive and gram-negative bacteria.

Identifying component skills necessary for the emergence of intraverbal tacts, or verbal responses under control of both a verbal and nonverbal antecedent stimulus, is important because the occasion for this skill often occurs in a child's everyday life. Previous research has begun to identify a sequence of component skills that may lead to the emergence of multiply controlled intraverbals. However, it remains unclear which component skills are necessary versus sufficient. The purpose of this study was to evaluate the effects of teaching a subset of component skills, element tact and intraverbal categorization, to identify the skills sufficient for emergence of intraverbal tacts. A multiple-probe design was used to assess intraverbal-tact emergence for five participants diagnosed with autism spectrum disorder during pre-and post-element-tact and intraverbal-categorization teaching sessions. Emergence of intraverbal tacts was also assessed during recombinative-generalization probes. Results indicated that intraverbal tacts emerged for all participants following acquisition of element tacts and intraverbal categorizations. As no other component skills were taught, these data suggest that these component skills may be sufficient for intraverbal tact emergence. Implications for identifying necessary component skills and directions for future research are discussed.

For the last century, gasoline has been the primary fuel source for internal combustion engines in many countries around the world. More recently, the petroleum derived fuel has increasingly been mixed with combustible oxygenates, commonly ethanol. In some countries ethanol has even become the primary or exclusive component of vehicle fuel. This switch has been done for economic and environmental reasons but can decrease engine fuel economy. The experiment detailed here allows students to use bomb calorimetry to create a calibration curve between internal energy of combustion and ethanol content of various fuel blends. The calibration curve can then be used to estimate the ethanol content of commercial gasoline samples. The resulting data and analysis from this experiment gives students the opportunity to explore and discuss what the effects of adding an oxygenate to gasoline are. These effects are considered from the position of changes in internal energy of combustion and how that can be understood in the context of the operating principles of an internal combustion engine.

Abstract Green synthesis of metallic nanoparticles (MNPs) using plant resources offers a sustainable and biocompatible alternative to conventional methods. In this study, silver (AgNPs) and gold nanoparticles (AuNPs) were synthesized using aqueous seed‐kernel extract of Thespesia populnea (TPK), which acted as both reducing and stabilizing agents. The nanoparticles were characterized by UV–vis, FTIR, XRD, HRTEM, and SAED, confirming their crystalline nature. TEM revealed predominantly spherical particles with mean sizes of 11.2 ± 7.5 nm (AgNP‐TPK) and 5.2 ± 1.5 nm (AuNP‐TPK). DLS and zeta potential analyses showed stable colloids with Z‐average sizes of 23.2 ± 4.2 nm (AgNP‐TPK) and 12.4 ± 1.5 nm (AuNP‐TPK) and high negative surface charges (–34.7 and –29.8 mV, respectively). Functionally, AuNP‐TPK exhibited outstanding catalytic activity for the reduction of methyl orange and 4‐nitrophenol, following pseudo‐first‐order kinetics, while AgNP‐TPK showed strong antibacterial activity against Escherichia coli , Klebsiella pneumoniae , Pseudomonas aeruginosa , and Staphylococcus aureus . These results highlight the novelty of using TPK extract to produce highly stable, dual‐functional nanoparticles, demonstrating their promise for sustainable applications in catalysis, antimicrobial treatments, and environmental remediation.

The detection and localization of image forgery are crucial tasks in maintaining the integrity and authenticity of digital images, particularly in an era where image manipulation has become increasingly accessible and sophisticated. This work introduces a selective recompression-based approach for forgery localisation, designed to address the challenges associated with non-JPEG images. The method leverages the principle of differential degradation, whereby a suspect image is deliberately recompressed at the same quality factor as one of its constituent regions. By aligning the recompression quality in this manner, inconsistencies between authentic and tampered regions become more pronounced, thus enabling more accurate localization of forged areas. Unlike conventional forgery detection methods that often rely on JPEG-specific artifacts for JPEG images, the proposed technique extends its applicability to non-JPEG images, broadening the scope of forensic analysis. Experimental evaluation on the CASIA 2 dataset demonstrates the effectiveness of the approach, achieving an F1 score of 0.618 for nonJPEG images. These results highlight the potential of selective recompression as a robust and generalizable strategy for image forgery localization in non-JPEG images, providing a valuable complement to existing methods in digital image forensics.

This study aimed to investigate the correlation between school principals’ instructional leadership behavior and job satisfaction of teachersin the Bunawan District, Bunawan, Agusan del Sur. The research employed a quantitative descriptive survey-correlational design, utilizing a survey questionnaire as the primary data-gathering tool. The participants were 177 permanent teachers randomly selected. The results showed that the school principals’ instructional leadership behavior strongly agreed with the descriptive equivalent of always observed. Further, the level of teachers’ job satisfaction was evaluated as agree, which means that the teachers are satisfied with their job. The result also revealed no significant relationship between the school principals' instructional leadership behavior and teachers' job satisfaction. From the study results, it was recommended that the school principals create an empowering environment by providing relevant professional development and recognizing teacher excellence. The teachers can prioritize their professional growth through development opportunities, collaboration, and open communication with the school principal. And also, the Department of Education can invest in comprehensive training programs for principals, promote collaboration, and empower schools to make context-specific decisions. Further research is encouraged to investigate the impact of instructional leadership practices and develop practical tools to improve leadership.

This study investigated the extent to which classroom environment and learning styles predict student engagement among education students at Davao de Oro State College. Using a quantitative-correlational research design, data were gathered through standardized survey instruments that measured indicators of classroom environment, preferred learning styles, and levels of student engagement. Results revealed that both classroom environment and learning styles were perceived at a high level, as was student engagement. Correlational analysis showed significant positive relationships between the variables, with classroom environment showing a stronger influence on engagement. Regression analysis confirmed that both classroom environment and learning styles significantly predict student engagement. These findings highlight the importance of fostering supportive, inclusive classrooms and employing differentiated instructional strategies to enhance learners’ participation, motivation, and academic involvement. The study underscores the need for student-centered practices in teacher education programs to ensure future educators can effectively engage diverse learners.

This study investigated the relationship between teaching practices and parental support and their combined influence on students’ interest in learning mathematics. Conducted among first-year college students enrolled in "Mathematics in the Modern World" at Monkayo College of Arts, Sciences, and Technology (MonCAST), the research employs a quantitative, non-experimental design using validated survey instruments. Results reveal that effective teaching practices, particularly those emphasizing facilitation and student autonomy, and strong parental involvement significantly enhance students’ emotional engagement, perceived value, and understanding of mathematics. The findings underscore the importance of collaborative efforts between educators and parents in fostering mathematical interest and academic success. Recommendations include teacher training programs focusing on adaptive instructional strategies and community initiatives promoting parental involvement in education.