Xavier School

This study explores the associations between social media usage and the college major selection process among U.S. undergraduate students (N=255). The findings highlight that significant demographic disparities exist in how students perceive and use social media for major exploration, while accessible salary data serves as a powerful intervention for influencing actual choices. Descriptive and t-test analyses reveal that YouTube, Instagram, and X (formerly Twitter) are perceived as significantly less important to women than to men, with women also reporting fewer weekly usage hours for YouTube and X. While Black students reported higher usage across all platforms than White students, the difference was statistically significant only for X. The study identifies salary information as a more direct lever for influencing major considerations than social media. After reviewing actual median salary data, 33% of participants changed their top major selection. A probit model confirmed that the perceived importance of salary data significantly predicts the likelihood of a student switching majors post-intervention. Linear regression modeling further revealed that while White women selected majors with an average median salary of $66 747, men and Asian students selected majors with median salaries $3868 and $5971 higher, respectively. These results suggest that while social media engagement varies by race and gender, timely access to accurate economic data remains a critical factor in academic decision-making.

The article discusses the features of using hardware and software complexes for measuring the transverse roughness of road surfaces, which play an important role in ensuring the safety and durability of road infrastructure. Methods for measuring road surface rutting are analyzed, each of which has its own advantages and disadvantages, as well as specialized rutting measurement devices. The advantages of using mobile laser systems are outlined. These systems are becoming increasingly popular due to their ability to work with moving platforms, which allows for obtaining detailed information about the condition of road surfaces and road transport infrastructure objects in real time. A description is provided of the transverse roughness measurement system installed on mobile complex, which allows high-precision measurements of rutting to be taken without interfering with moving traffic, with a coverage width of at least 3.6 m and an accuracy of 1 mm. The Profiler specialized software is described, which processes and analyzes the received data, creates cross-sectional profiles, and determines such indicators as the average value, maximum and minimum height of irregularities, and also generates reports for further analysis.

Abstract Disclosure: W. Gallardo: Ipsen, Merck, Novartis Pharmaceuticals, Pfizer, Inc., Recordati Rare Diseases. C. De Block: A Menarini Diagnostics, Abbott Laboratories, AstraZeneca, Boehringer Ingelheim, Eli Lilly & Company, Insulet Corporation, Medtronic, Novo Nordisk, Roche Pharmaceuticals, Indigo Diabetes. Z. Hussein: Abbott Laboratories, Boehringer Ingelheim, Novartis Pharmaceuticals, Novo Nordisk, Zuellig Pharma Therapeutics. E. Grineva: Ipsen, Pfizer, Inc., Recordati Rare Diseases, Merck. N. Kapoor: None. J.M. Escalante Pulido: None. G. Rollin: Abbott Laboratories, AstraZeneca, Bayer, Inc., Merck Serono, Novo Nordisk. R. Baggenstoss: None. A. Piacentini: Recordati. A. Mueller: Recordati Rare Diseases. M. Gadelha: Crinetics Pharmaceuticals, Ipsen, Novo Nordisk, Recordati Rare Diseases. Introduction: The long-term safety of pasireotide (a second-generation, multireceptor-targeted somatostatin receptor ligand) in patients (pts) with Cushing’s disease (CD), acromegaly and other rare endocrine disorders was assessed in an open-label, multicenter, Phase IV rollover study (B2412; NCT01794793). Final data are reported for CD pts who received pasireotide for ≤10 years during the rollover. Methods: Pts who were judged by the investigator to be benefiting from pasireotide at parent study end were eligible to enter the rollover and initially remained on the same pasireotide dose. Data are reported for CD pts from 4 parent studies who received pasireotide long-acting release (LAR; n=33) or subcutaneous (sc; n=29) and ≥1 dose during the rollover (except for 1 pt who only received pasireotide sc in the parent study). The primary objective of the rollover was to evaluate long-term pasireotide safety, assessed by frequency of adverse events (AEs)/serious AEs (SAEs). Data are reported from start to end of the rollover, unless otherwise stated. Results: Overall, 62 CD pts from 15 countries entered the rollover to receive pasireotide LAR or sc; 66.1% (n=41) completed treatment and 33.9% (n=21) discontinued, most commonly because of unsatisfactory therapeutic effect (12.9%, n=8). Median (min-max) duration of exposure and average dose from parent study baseline to rollover end was 7.4 years (2.7-9.9) and 32.6 mg/month (6-49) for pasireotide LAR and 5.8 years (0.6-15.8) and 469.3 µg/day (0-1661) for pasireotide sc. AEs, regardless of study drug relationship (pasireotide LAR and sc), were reported in 77.4% (n=48) of pts, most commonly (≥10% of pts) nasopharyngitis (24.2%, n=15), pharyngitis, diarrhea (each 14.5%, n=9), hypoglycemia, urinary tract infection and back pain (each 12.9%, n=8). Hyperglycemia and diabetes mellitus (DM) were reported in 2 and 4 pts, respectively. 62.9% (n=39) of pts required additional therapy to manage AEs, most commonly for nasopharyngitis (16.1%, n=10). 1 and 4 pts required additional therapy to manage hyperglycemia and DM, respectively. 9.7% (n=6) of pts required dose interruption/adjustment to manage AEs, most commonly for endocrine disorders (Cushing’s syndrome and hyperadrenocorticism, each 1.6%, n=1). In total, 4 pts (6.5%) discontinued treatment because of AEs (COVID-19, hyperglycemia, increased glycated hemoglobin, muscular weakness; each n=1). SAEs were reported in 33.9% (n=21) of patients, most commonly cholelithiasis (4.8%, n=3). 4 patients died during the rollover (colon cancer, COVID-19, pneumonia, septic shock; each n=1). No new safety signals were identified. Conclusion: Pasireotide is a well-tolerated long-term treatment option for CD pts, with pts having received treatment for ≤16 years from parent study entry. Few pts discontinued because of AEs, including hyperglycemia, and hyperglycemia was infrequent during the study. Presentation: Sunday, July 13, 2025

The rapid spread of fake news across digital platforms has raised significant concerns regarding misinformation and its societal impact. Traditional fake news detection models rely on deep learning (DL) or ensemble-based approaches but often lack robustness and interpretability. This paper proposes a novel Dual-Stage Attention with Bi-LSTM and Adaptive XGBoost (DAE-BiLSTM-XGB) model for enhanced fake news classification. The first attention stage refines text embeddings by emphasizing contextually significant words, while the second attention stage in the Bi-LSTM module captures long-term dependencies in sequential data. Features extracted through Bi-LSTM are further optimized using an Adaptive XGBoost classifier, improving the system's generalization capacity. Experiments conducted using standard datasets illustrate that DAE-BiLSTM-XGB outperforms existing models in terms of accuracy, F1-score, and robustness against adversarial perturbations. This hybrid approach presents a scalable and explainable solution for real-time misinformation detection in social media and news platforms.

This study presents, for the first time, a direct comparison of different slope stabilization techniques within the same project, offering critical insights into their performance, sustainability, and cost-effectiveness. The investigation evaluates three distinct approaches: (1) conventional soil nailing with shotcrete surfacing, a widely adopted and proven method for slope reinforcement; (2) an innovative eco-friendly alternative combining soil nailing with Vetiver grass (Chrysopogon zizanioides), which enhances slope stability through bioengineering while promoting environmental sustainability; and (3) unprotected cut slopes, which typically fail within the first rainy season, underscoring the necessity of effective stabilization measures. While traditional soil nailing provides reliable mechanical reinforcement, the proposed hybrid system that integrates soil nails with Vetiver grass offers a more sustainable, cost-efficient, and ecologically beneficial solution. The deep-rooting properties of Vetiver grass improve soil cohesion and reduce surface erosion, complementing the structural support of soil nails. In contrast, unprotected slopes exhibit rapid deterioration, emphasizing the critical need for engineered slope protection in erosion-prone environments. This study aims to assess the comparative effectiveness, long-term durability, and environmental impact of these methods, providing valuable guidance for slope stabilization in geotechnical and ecological engineering applications.

This study examined the motivational needs, instructional competence, and problem-solving skills of teachers in relation to performance in Cluster IV of the Fourth Congressional District of Negros Occidental, covering the municipalities of Pulupandan, Valladolid, San Enrique, and Pontevedra for the School Year 2023–2024. The study utilized standardized questionnaires: Santillan (2002) for motivational needs and Moreno, Silveira, and Belandro (2015) for instructional competence, which were adapted and modified. A research-made instrument was developed to assess problem-solving skills. Out of 359 teachers, 189 participated in the study. Findings showed that teachers demonstrated very high levels of motivational needs and instructional competence, and high levels of problem-solving skills. Their overall performance was rated as very satisfactory. Analysis revealed no significant differences in motivational needs, instructional competence, and problem-solving skills when grouped according to profile variables such as age, gender, and civil status. However, teacher performance significantly differed when grouped by length of service and highest educational attainment. Moreover, there were no significant relationships found between the teachers’ motivational needs, instructional competence, and problem-solving skills in relation to their performance. These findings suggest that while teachers demonstrate strong professional attributes, these alone do not significantly predict their overall performance, indicating the need to explore other contributing factors that influence teacher effectiveness.

This study examines the alignment of the Grade 11 Statistics and Probability Curriculum Guide with the domains of 21st-century skills using a qualitative content analysis approach. Guided by Tyler’s Model of Curriculum Development and in reference to the Partnership for 21st Century Learning (P21) framework, the analysis focused on examining how skills like critical thinking, teamwork, digital literacy, and life skills are reflected in the curriculum. A coding matrix was employed to classify each learning competency according to its level of alignment— whether clearly (explicit), indirectly (implicit), or not at all—with three core skill domains: Learning and Innovation Skills; Information, Media, and Technology Skills; and Life and Career Skills. Using a qualitative content analysis approach, this study examined the publicly available Curriculum Guide for Grade 11 Statistics and Probability issued by the Philippine Department of Education. The results show that all learning competencies (100%) demonstrated alignment with at least one domain of 21st-century skills, with critical thinking and data literacy being the most emphasized. Specifically, 67.3% of competencies were explicitly aligned, and 32.7% were implicitly aligned. Learning and Innovation Skills appeared in 100% of competencies, while Information, Media, and Technology Skills were present in only 14.5%. Life and Career Skills were not explicitly reflected in any of the competencies. However, there is limited focus on technology-related competencies, and Life and Career Skills are not clearly addressed, revealing an uneven distribution of skill domains within the curriculum. While the document reflects strong support for cognitive development, it falls short in preparing learners for digitally driven environments and real-world career contexts. In light of these findings, the study recommends enhancing the curriculum by explicitly integrating underrepresented 21st-century skills, providing targeted teacher training, and institutionalizing regular curriculum reviews to better equip senior high school students for academic, professional, and societal demands.

Traditional multi-UAV reconnaissance methods usually involve task assignment and route planning for each target point. However, considering that the photoelectric payloads carried by UAVs have the ability to conduct reconnaissance in a certain range at a specific point, a new multi-UAVs mission planning method is proposed in this study. Combined with the reconnaissance radius of the photoelectric load, this method improves the search efficiency and guarantees good coverage by optimizing the algorithm. In particular, the least covered circle algorithm is proposed to determine the optimal arrival point coordinates of the photoelectric load, and a multi-traveling salesman problem (TSP) model is constructed. Then, grey Wolf intelligent algorithm is used to solve the obtained model, and the optimal order of photoelectric load arrival point is determined. In order to evaluate the actual effect of the algorithm, three mathematical simulation calculations are carried out, and the number of iterations is set to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{5 0 0}$</tex> times. The results show that the total path lengths of the three calculations are 5964.83, 6187.85 and 6194.33 respectively, and the algorithm converges after 112, 206 and 159 iterations, respectively. Based on the traditional target point algorithm, the total path length of the three simulation results is 6688.91, 6778.51, 6829.82, and the number of convergence iterations is 389,255, and 365, respectively. Compared with the traditional method based on target point, the efficiency and superiority of the new method in multi-UAV mission planning are verified.

Classroom Escape”, an activity that was part of the “Hour of Code” project, was conducted with 268 upper-grade students from four elementary schools during an IT class. The topic of the activity was marine flora and fauna, but the teaching itself belonged to the domain of Computational Thinking and Programming. Through four tasks, student teams, using a project-based approach and collaboration, had to uncover questions, answer them, and progress to the next level. Artificial intelligence was used in the “Teachable Machine” application on a connected computer. The activity utilised the Scratch Lab application, a Caesar cipher cylinder, Morse code, the ASCII table and computers with Internet access. Relatively complex content was taught using innovative methods-namely, a projectbased, multidisciplinary approach-making the lessons engaging, interesting, and appealing. Students are eager to learn through a project-based approach and gamification, even though they often rely on trial and error and sometimes struggle to find the solution. Educational games like “Classroom Escape” demonstrate an effective way to enhance the teaching and learning of programming concepts. A game-based approach can help engage students, improve their problem-solving skills, and develop their computational thinking abilities.

Cash flow management is essential for sustaining operations and enabling growth, but microenterprises often struggle due to irregular income, limited resources, and high interest rates. These challenges can lead to cash shortages, operational instability, and increased risk of business failure, making effective financial strategies vital for their survival. The study examines the cash flow management of micro-enterprises in San Francisco, Agusan del Sur, and its impact on financial performance. Cash Flow Management Practices are measured using cash flow management techniques, financial literacy, access to financial services, record-keeping practices, cash flow sources and uses, and external economic factors. Financial Performance is evaluated by examining profitability, sustainability, and stability. Challenges encountered by micro-enterprises in implementing cash flow management practices and the enterprises’ coping mechanisms are also examined. The study employed a descriptive-correlational approach and surveyed 289 micro-enterprises respondents among the five (5) Poblacion Barangay of the Municipality. The findings revealed that the micro-enterprises in the locality moderately practiced the techniques of cash flow management having an overall mean of 3.24 which prompted the profitability, sustainability, and stability performance of micro-enterprises into oftentimes with a mean of 3.24. This shows a statistically significant relationship between cash flow management practices and the extent of financial performance with a p-value of 0.000. The study also revealed that micro-enterprises experience moderate challenges in employing cash flow management practices with an overall mean of 3.19 with coping mechanisms oftentimes practiced. Lastly, there is a highly significant difference in the challenges encountered by micro-enterprises when grouped according to the barangay. These findings highlight the importance of cash flow management practices in attaining profitability, sustainability, and stability. They also show the need for a comprehensive program catered to the needs of micro-enterprises to address the gap in cash flow challenges.