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2,242 results on '"Rose, R"'

1. How the Russia–Ukraine Conflict Caused Trade Diversion?

Author

Rajayya, Ananthi, Kumar, G Anil, Rose, R Leema, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Hamdan, Allam, editor, and Braendle, Udo, editor

Published
2025
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4. Experimental analysis of variability in WS$_2$-based devices for hardware security

Author

Vatalaro, M., Neill, H., Gity, F., Magnone, P., Maccaronio, V., Márquez, C., Galdon, J. C., Gamiz, F., Crupi, F., Hurley, P., and De Rose, R.

Subjects
Computer Science - Emerging Technologies
Abstract

This work investigates the variability of tungsten disulfide (WS$_2$)-based devices by experimental characterization in view of possible application in the field of hardware security. To this aim, a preliminary analysis was performed by measurements across voltages and temperatures on a set of seven Si/SiO$_2$/WS$_2$ back-gated devices, also considering the effect of different stabilization conditions on their conductivity. Obtained results show appreciable variability in the conductivity, while also revealing similar dependence on bias and temperature across tested devices. Overall, our analysis demonstrates that WS$_2$-based devices can be potentially exploited to ensure adequate randomness and robustness against environmental variations and then used as building blocks for hardware security primitives.

Published
2023
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6. The relative contributions of TWIP and TRIP to strength in fine grained medium-Mn steels

Author

Kwok, T W J, Gong, P, Rose, R, and Dye, D

Subjects
Condensed Matter - Materials Science
Abstract

A medium Mn steel of composition Fe-4.8Mn-2.8Al-1.5Si-0.51C (wt.\%) was processed to obtain two different microstructures representing two different approaches in the hot rolling mill, resulting in equiaxed vs. a mixed equiaxed and lamellar microstructures. Both were found to exhibit a simultaneous TWIP$+$TRIP plasticity enhancing mechanism where deformation twins and $\alpha'$-martensite formed independently of twinning with strain. Interrupted tensile tests were conducted in order to investigate the differences in deformation structures between the two microstructures. A constitutive model was used to find that, surprisingly, twinning contributed relatively little to the strength of the alloy, chiefly due to the fine initial slip lengths that then gave rise to relatively little opportunity for work hardening by grain subdivision. Nevertheless, with lower high-cost alloying additions than equivalent Dual Phase steels (2-3 wt\% Mn) and greater ductility, medium-Mn TWIP$+$TRIP steels still represent an attractive area for future development., Comment: Edited after review, second round

Published
2022

10. Contextualized Question-Embedded Video-Based Teaching and Learning Tool: A Pathway in Improving Students’ Interest and Mathematical Critical Thinking Skills

Author

Jeerhic S. Malaluan and Rose R. Andrade

Subjects
contextualized, question-embedded, interest, critical thinking skills, Mathematics, QA1-939
Abstract

Filipino students exhibit lower levels of performance in mathematics and science competency compared to neighboring countries based on national and international surveys. The root cause of this issue is the decline in students’ interest in learning mathematics alongside their insufficient critical thinking skills. This has posed challenges among mathematics teachers to innovate ways on how to enhance students’ critical thinking skills and motivate students towards better performance in mathematics. The primary objective of the study was to determine the effectiveness of a contextualized question-embedded video-based teaching and learning tool on the interest and mathematical critical thinking skills of Grade 10 students. The study used a descriptive experimental research design with the REACT and Socratic methods to contextualize and embed questions in the video tool. A survey questionnaire was used to assess students’ interest before and after utilization, and a pretest and posttest assessment was conducted to evaluate students’ interpretation, analysis, evaluation, and inference skills. Based on the findings, using a contextualized question-embedded video-based teaching and learning tool is effective in increasing students’ interest and critical thinking skills. Moreover, there was a significant difference between students’ mathematical interest in terms of their attitude, initiatives, mathematics experience, and the utilization of contextualized question-embedded video-based teaching and learning tool. The pretest and posttest results of the experimental and control groups also showed significant differences in critical thinking skills. The study concludes that using contextualized question-embedded video-based as teaching and learning tools effectively improves students’ interest and critical thinking skills in Mathematics. Further larger-scale studies with different grade levels can validate the findings of the current study.

Published
2023
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13. ERCNN-DRM: an efficient regularized convolutional neural network with a dimensionality reduction module for the classification of brain tumour in magnetic resonance images

Author

Selvin Prem Kumar S, Agees Kumar C, and Jemila Rose R

Subjects
ERCNN, brain tumour, deep learning, classification, dimensionality reduction, MRI, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5
Abstract

ABSTRACTBrain tumour is a severe disease that may lead to death if unrecognized and untreated. Brain tumor identification and segmentation is a complex and task in medical image processing. For radiologists, diagnosing and classifying tumor from various images is a challenging process. When the data size is large, deep learning methods outperform conventional learning algorithms. Convolutional Neural Networks are found to be one of the popular deep learning architectures. We propose a deep network with an Efficient Regularized CNN with Dimensionality Reduction Module (ERCNN-DRM), which works with less training data and produces more precise classification with minimal processing time and regularisation. The images are pre-processed, segmented and then the dimension reduced features are extracted using the proposed algorithms and then the proposed regularized classification takes place. The experiment is conducted on TCIA dataset which contains a total of 696 MRI, 224 of which are benign and 472 of which are malignant. The proposed scheme produces accuracy rate of 96.7% and reduces the complexity by working on dimensional reduced data. Performance measures such as accuracy, recall, precision, F-measures are analysed and the system is found to be significant than other state-of-the art.

Published
2023
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14. Best live endoscopy practices: an ASGE white paper

Author

Khashab, Mouen A., Muthusamy, V. Raman, Akshintala, Venkata S., Kothari, Shivangi, Sethi, Amrita, Rastogi, Amit, Palmisano, Donald J., Jr., Zhang, Linda Yun, Hess, Mary-Rose R., Rashba, Kira, Gupta, Neil, Wani, Sachin, and Komanduri, Srinadh

Published
2023
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15. Abstract 14122: Evaluating Gender Diversity in Principal Investigators of Cardiac Electrophysiology Clinical Trials

Author

Sadri, Shirin, Soontornviwath, Grace A, Ku, Alice, Bernardez, Crystal O, Ali, Tawfique, Khosla, Ananya, Adhikari, Khusbu K, Duran, Angelina S, Igwe, Joseph-Kelvin, Clark, Kira, Cruz, Erin Rose R, Idris, Muhammed Y, Poullos, Peter, Periyakoil, VJ, Lin, Bryant, Palaniappan, Latha, Yong, Celina M, Onwuanyi, Anekwe, Echols, Melvin, Wang, Paul J, and Kapoor, Ridhima

Published
2023
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17. Mathematics Self-Efficacy and the Use of Virtual Math Manipulatives Among Pre-Service Teachers

Author

Rency A. Arida, Rose R. Andrade, and Rina A. Mabilangan

Subjects
behavioral intention, mathematics self-efficacy, virtual manipulatives, teaching and learning, Education (General), L7-991
Abstract

In response to the COVID-19 pandemic crisis, instructors’ pedagogy has been modified, and technology-based educational tools have been implemented. However, little is known about pre-service teachers’ self-efficacy in mathematics and their intentions in implementing such technology. Thus, the objective of this study is to test if perceived mathematics self-efficacy is significantly related to pre-service teachers’ behavioral intention to utilize virtual math manipulatives. The aim of the study was addressed through the use of a descriptive-correlational research design with sixty-nine (69) pre-service teachers. Students’ mathematics self-efficacy and behavioral intention to utilize virtual math manipulatives were assessed using researcher-made questionnaires. It was discovered that a significant association exists between the respondents’ content self-efficacy and their behavioral intention to utilize virtual math manipulatives as to attitude, subjective norms, and perceived behavioral control. A similar relationship exists between self-efficacy and behavioral intention to use virtual math manipulatives in terms of attitude and behavioral control. The results imply that applying virtual manipulatives is anchored on knowledge and confidence of process and purpose. Therefore, preparing pre-service teachers for the classroom through a variety of training and seminars will help them improve their mathematics self-efficacy while also increasing their intention to use virtual manipulatives.

Published
2022
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18. Problem-Based Learning Strategies and Critical Thinking Skills Among Pre-Service Teachers

Author

Patricia Nicole F. Benedicto and Rose R. Andrade

Subjects
problem-based learning strategy, authentic strategy, non-linear strategy, critical thinking skills, Mathematics, QA1-939
Abstract

Mathematical underachievement among students was not only a source of concern in the Philippines, but has now spread throughout the world. Low critical thinking skill among Filipino students is one of the causes contributing to the country’s poor performance in mathematics. Students’ lack of critical thinking abilities may be due to teachers’ knowledge and expertise. To explore the critical thinking skills of pre-service teachers through the use of problem-based learning strategies is the main objective of the study. Quasi-experimental with a counterbalanced design was employed, presenting two problem-based learning strategies namely authentic strategy and non-linear strategy to two groups of teacher candidates. The results showed that students’ critical thinking skills in evaluating arguments and drawing conclusions are lacking. There is also a substantial difference in critical thinking skills between students in groups 1 and 2, except for the capacity to recognize assumptions. The pre-service teachers’ critical thinking skills do not differ significantly by sequence. The study results indicated that the pre-service teachers’ critical thinking skills were still low, particularly in terms of evaluating arguments and drawing conclusions due to inadequate background knowledge and lack of in-depth understanding of the mathematics concepts. The results imply that schools focus more on building strategies to improve and develop students’ critical thinking skills in mathematics education. Moreover, the study suggests that further research develop successful techniques for planning effective initiatives to increase critical thinking teaching and learning in higher education and training programs that could help improve the students’ critical thinking skills.

Published
2022
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19. NUTRIFY: A Meal Planner App for Diabetics

Author

Ambat, Dr. Shaneth C., primary, Cale, Justine Rose R., additional, Castillo, Czarina G., additional, Leon, Oliber M. De, additional, Esguerra, Royce Christian N., additional, Pablo, May Florence D. San, additional, and Tejuco, Dr. Hadji J., additional

Published
2022
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21. Exploring Students’ Procedural Fluency and Written Adaptive Reasoning Skills In Solving Open-Ended Problems

Author

Stephanie Gayle B. Andal and Rose R. Andrade

Subjects
mathematical achievement, open-ended problems, procedural fluency, problem-solving, written adaptive reasoning, Mathematics, QA1-939
Abstract

Developing students’ mathematical skills requires both procedure and reasoning. However, the declination of possessing these skills is still evident today. Hence, this study aimed to describe the students’ procedural fluency in terms of accuracy, flexibility, and efficiency and written adaptive reasoning in terms of explanation and justification in solving open-ended problems. The study employed descriptive-correlational design through purposive sampling of thirty students from a National High School in Laguna, Philippines. The quantitative data revealed that in procedural fluency, students can quickly submit a complete solution leading to correct answer. However, they fail to provide two or more solutions in solving open-ended problems. The results also showed that students can clearly explain the problem but struggle to justify their solution. Moreover, procedural fluency is positively correlated to their adaptive reasoning. Consequently, students with an average level of mathematical achievement scored significantly higher than those at a low mathematical level in terms of flexibility. Pedagogical implications suggest that problem-solving activities for students should not solely focus on getting the correct procedures and answers. Further, it is recommended that teachers should expose students in open-ended problems and allow them to try and justify their own unique solutions irrespective of their mathematical achievement.

Published
2022
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22. Priority-Based Multi-Objective Routing in Underwater Sensor Networks Using Adaptive Honey Badger Algorithm.

Author

Rex, A. Arul and Rose, R. Jemila

Subjects
*WIRELESS sensor networks, *AUTONOMOUS underwater vehicles, *SENSOR networks, *K-means clustering, *DATA packeting
Abstract

Due to the increasing number of applications for various purposes, including commercial, scientific, environmental, and military ones, Underwater Wireless Sensor Networks (UWSNs) have recently attracted substantial attention from academia and enterprises in research and development. Monitoring pollutants, tactical surveillance, tsunami alerts, and offshore drilling are some important applications. Due to acoustic transmission disruptions brought on by extreme noise, extraordinarily lengthy propagation delays, a high bit error rate, a constrained bandwidth, and interference, efficient sensor communication in UWSNs is a difficult challenge. Therefore, designing efficient communication among sensors and sinks is one of the fundamental research themes in UWSNs. This paper proposes an energy-efficient optimal cluster head (CH)-based routing in UWSNs. The proposed methodology consists of three stages namely, cluster formation, CH selection, and priority-based routing. In this study, initially, the clusters are formed using a k-means clustering algorithm. Then, the CHs are selected using the Adaptive Honey Badger optimization (AHBO) algorithm, which is used to reduce energy consumption and delay. AHBO is a combination of a honey badger, Levy flight, and genetic algorithm operators. After the CH selection process, data packets are transferred toward the base station through autonomous underwater vehicles (AUVs). The efficiency of the proposed approach is analyzed based on different metrics and performance compared with the different methods. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Impact of Heavy Metal lead acetate on Hematology of Fresh Water Fish Oreochromis niloticus.

Author

Rose, R. Nisha and Lakshmanan, S.

Subjects
HEAVY metals, FRESHWATER fishes, NILE tilapia, LEAD & the environment, HEMATOLOGY
Abstract

The article focuses on the impact of lead acetate, a heavy metal pollutant, on the hematology of the freshwater fish Oreochromis niloticus following prolonged exposure to sub-lethal concentrations. It highlights changes in key hematological parameters such as red blood cells (RBC), white blood cells (WBC), hemoglobin (Hb), and packed cell volume (PCV), demonstrating a decrease in RBC, Hb, and PCV, while WBC counts increased significantly.

Published
2024
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29. A Metal-Phenolic Network-Enabled Nanoadjuvant to Modulate Immune Responses

Author

Wang, Z, Cortez-Jugo, C, Yang, Y, Chen, J, Wang, T, De Rose, R, Cui, J, Caruso, F, Wang, Z, Cortez-Jugo, C, Yang, Y, Chen, J, Wang, T, De Rose, R, Cui, J, and Caruso, F

Abstract

The presence of hierarchical suppressive pathways in the immune system combined with poor delivery efficiencies of adjuvants and antigens to antigen-presenting cells are major challenges in developing advanced vaccines. The present study reports a nanoadjuvant constructed using aluminosilicate nanoparticles (as particle templates), incorporating cytosine-phosphate-guanosine (CpG) oligonucleotides and small-interfering RNA (siRNA) to counteract immune suppression in antigen-presenting cells. Furthermore, the application of a metal-phenolic network (MPN) coating, which can endow the nanoparticles with protective and bioadhesive properties, is assessed with regard to the stability and immune function of the resulting nanoadjuvant in vitro and in vivo. Combining the adjuvanticity of aluminum and CpG with RNA interference and MPN coating results in a nanoadjuvant that exhibits greater accumulation in lymph nodes and elicits improved maturation of dendritic cells in comparison to a formulation without siRNA or MPN, and with no observable organ toxicity. The incorporation of a model antigen, ovalbumin, within the MPN coating demonstrates the capacity of MPNs to load functional biomolecules as well as the ability of the nanoadjuvant to trigger enhanced antigen-specific responses. The present template-assisted fabrication strategy for engineering nanoadjuvants holds promise in the design of delivery systems for disease prevention, as well as therapeutics.

Published
2024

30. Managing Modular Instruction and Students' Learning Outcomes

Author

Barrera, Janet D., Megallon, Sweety Rose R., Patadlas, Aiwedeh B., Barrera, Janet D., Megallon, Sweety Rose R., and Patadlas, Aiwedeh B.

Abstract

This study was conducted to determine the level of management of modular instruction in relation to the student’s learning outcomes.   The study was conducted among 31 teachers, 12 school heads, 55 parents, and 191 Grade 10 students in Paquito S. Yu Memorial National High School of Lower Timonan, Dulop National High School of Dulop, Dumingag National High School, all of Dumingag Zamboanga del Sur during the School Year 2021-2022. This study used the quantitative-correlational research design.  The descriptive statistics included the use of weighted average mean, standard deviation, frequency and percentage distribution; and inferential statistic were done using Kruskal-Wallis test, Spearman-rho correlation and t-test of r using SPSS and online data analysis calculators.  The findings revealed that the respondent schools are highly equipped with educational technology to support modular instruction, have modules downloadable through the DepEd websites.  The schools have sufficient financial support and material resources and it is properly utilized to sustain the massive reproduction of Self-Learning Modules (SLMs). Teachers were highly trained to manage modular instruction including the preparation of the contents, printing, distribution and assessment.  They were also provided with adequate trainings to enrich their content knowledge with integration of educational technology.  The contents of the self-learning modules were not only limited to the minimum essential learning competencies, rather it is enriched with in-depth discussions of concepts, visual illustrations, links for demonstrations and short videos.  Moreover, the study concluded that the four groups of participants have similar perceptions on the level of management of modular instruction.  Most of the student participants have satisfactorily achieved the minimum essential learning competencies in their English subject during the second quarter. The empirica

Published
2024

31. Implementation of Online-Based Learning on the Academic Progress of Grade 12 HUMSS Students at Bestlink College of the Philippines: Vol.3, No.1D

Author

Bumanglag, Keeshia C., Esguerra, Alexander Jr V., Fontamillas, Diana Rose R., Rivas, Leo C., Tongoy, Realyn D., Bumanglag, Keeshia C., Esguerra, Alexander Jr V., Fontamillas, Diana Rose R., Rivas, Leo C., and Tongoy, Realyn D.

Abstract

Many countries, including the Philippines, have changed from classroom settings to distance classes via online learning platforms because of the COVID-19 pandemic. This study aims to know the impact of online-based learning on students' academic progress. It also aims to understand and address the problems they face while pursuing their study. The pandemic has forced everyone to continue having a normal life while staying home. As such, people have adopted remote setups like home offices and online classrooms worldwide.    Researchers conducted a study to know the implementation of this new learning system on the academic progress of grade 12 HUMSS students. This study used descriptive research design to describe and determine the implementation of online-based learning on the academic progress of Grade 12 HUMSS students at Bestlink College of the Philippines. The convenience sampling method was used to select participants, and an online questionnaire was used as the research instrument for data collection.     The researchers found that most students encountered different problems and found it hard to cope with the online-based learning system, which can affect their academic progress. Undeniably, online-based learning has an impact on students. &nbsp

Published
2024

32. Acceptability of Cabbage Chips Among HE Senior High School Students in Bestlink College of the Philipines S.Y 2021-2022: Vol.3, No.1D

Author

Adorna, Arghin Joy G., Peralta, PLovely Mae P., Remecio, Jeany Rose R., Palagans, John Errols S., Bokingkito, Jade M., Adorna, Arghin Joy G., Peralta, PLovely Mae P., Remecio, Jeany Rose R., Palagans, John Errols S., and Bokingkito, Jade M.

Abstract

Cabbage is high in vitamin K, which can affect the ability of blood thinners like warfarin to prevent blood clots and vitamin A. It also provides fibre, folate, potassium, magnesium, and more doses. There are only 33 calories in a cup of cooked cabbage, which is low in fat, keeping you looking healthy, toned, blemish-free, and glowing. To make cabbage chips, tear leaves from the head of the cabbage into large pieces, toss with olive oil, season with salt, and arrange in a single layer on two wire racks set on rimmed baking sheets. Bake until leaves darken slightly and get crisp, removing them as they brown, 25 to 35 minutes. Purple cabbage, in particular, is a powerful brain food containing vitamin K and the antioxidant anthocyanin, which boosts mental function and concentration. Vitamin K, an often-forgotten vitamin, can also improve your defence against Alzheimer's and dementia. A study of food acceptability and the evaluation of its sensory measures is explained by the fact that foods are typically served in a situation, during a meal, and that the consumer typically brings to the dining situation a host of expectations based on previous experience, product and nutrition information, and packaging, all of which can influence food starting to love. Both male and female respondents have the same number, 25 or 25%, who came from the  students of Bestlink College of the Philippines.   Keywords: cabbage chips, cabbage

Published
2024

33. Effects of Parenting Styles Influencing Academic Performance among Third Year BTVTED Students in Bestlink College of the Philippines – Bulacan A.Y 2021-2022: Basis for Predicting Emerging Parenting Styles: Vol.3, No.1C

Author

Arguelles, Maria Angelica M., Balasoto, Jenny Rose R., Palaruan, Rachelle M., Vallecera, Roseann S., Arguelles, Maria Angelica M., Balasoto, Jenny Rose R., Palaruan, Rachelle M., and Vallecera, Roseann S.

Abstract

How does Student’s academic performance develop in the presence of their parents amid this COVID-19 pandemic? The new normal of education was implemented at all levels in Colleges and Universities. It becomes more challenging for every Student to achieve their educational goals at home and for their Parents to provide proper Parental guidance in the new normal set-up.    The COVID–19 Pandemic is today's most prominent issue that produced a new world of challenges. It truly affects the living conditions of our society, specifically the family. Many Parents are said to be incapable of teaching their kids complex lessons because most of them are not allowed to attend school. Most families don’t have an advanced gadget to experience distance learning more easily. Many students encountered problems, specifically in Parental involvement, home issues, time management and financial matters. The presence of Parents is really important in this time of pandemic to guide and influence their children to strive harder today. Time goes by. Parents and students may encounter some difficulties at home, like unstable financial sources. Once children grow up, the expenses also rise or increase. But how will they possess their knowledge and skills during this Pandemic?    Parents who were involved in their child’s education can witness their progress. They are always anxious about what is best to provide for their children. Good communication between parents and teachers also helps improve student’s performance. But then, parents may communicate with the teacher through text messaging or any other online platforms when face-to-face is not allowed by the level of the community is under quarantine. This study was conducted to enlighten everyone about the pandemic's effects and realize how hard it is to strive for Academic Performance at home with the help of the Parent-Student approach in the middle of this Pandemic. It is very hard to stand and fight alone. Parents s

Published
2024

34. Effects of the Learning Management System on the Mental Health of the Graduating BEED Learners at Bestlink College of the Philippines: Vol.3, No.1C

Author

Padura, Alexis A., Omega, Angel Rose R., Macapia, Anna Jhoy O., Toledo, Jansen V., Danao, Melody Z., Padura, Alexis A., Omega, Angel Rose R., Macapia, Anna Jhoy O., Toledo, Jansen V., and Danao, Melody Z.

Abstract

COVID-19 forced schools to suddenly turn to the new learning system to finish the school year. Unfortunately, this sudden change also changed students’ mental health, specifically those near completion of their college studies. Students have lost social outlets and the learning environment they were accustomed to. In this matter, there is no certainty of when the pandemic will end. In this study, the researchers were able to know the effects of the learning management system on the mental health of the graduating BEED learners at Bestlink College of the Philippines.    A descriptive research method was used in conducting this study. Thirty (30) graduating Bachelor of Elementary Education students responded to the survey questionnaires to determine the effects of the Learning Management System on their mental health. The sampling technique used was random sampling, with the data collected through qualitative analysis.

Published
2024

35. A Comparative Study Between PLDT and Globe at Home Telecommunication Services Based on Consumer Perception in North Caloocan City: Vol.3, No.1A

Author

Acuña, Gian Patrick V., Cambe, Jedah O., Donato, Andrea G., Salvacion, Ivy Rose R., Simacon, Renalyn P., Acuña, Gian Patrick V., Cambe, Jedah O., Donato, Andrea G., Salvacion, Ivy Rose R., and Simacon, Renalyn P.

Abstract

The fast-growing community of telecom service subscribers or users created a significant impact on the Philippine economy; therefore, there are a lot of internet service companies who came out in the industry and made great competition and of the big names of telecommunication business here in the Philippines is the PLDT and Globe at Home. This study used a quantitative research method of design. The study's respondents were (50) subscribers of both PLDT and Globe at Home telecommunication services in North Caloocan City. This study utilized a purposive quota technique. Most respondents of PLDT and Globe are mostly from Camarin and currently working, and wage earners are subscribed to UnliFiber 1699 for PLDT and GFlex799 for Globe at Home with (50) respondents. The subscribers of PLDT and Globe agreed that the application process was smooth, providing options for payment notifying clients of payment dues, and they agreed that the internet connection is affected by inclement weather. There is no significant difference between the (2)two telecommunication services regarding the application process, payment method, internet speed, and agreement terms. The subscribers of PLDT and Globe living in North Caloocan City want to improve their services to keep using them. The service must be improved so subscribers know about the network they subscribe to. They have excellent customer service and trained technicians to address customer complaints to keep their subscribers loyal. Based on the findings and conclusions, PLDT and Globe must use more reliable routers and durable fibre optics as cables, for they are the channel of excellent internet connection in their subscriber's homes. More local cell sites must be constructed to deliver high-speed connections to the growing populations. Upgrade network infrastructure to improve the organization's future growth plans and level of available bandwidth. If you consider different network options optimized for speed, it's time to deci

Published
2024

36. An Effective Technique to Detect WIFI Unauthorized Access using Deep Belief Network

Author

S, Rajakumar, P, William, A, Mabel Rose R., Rajaretnam, Subraja, A, Azhagu Jaisudhan Pazhani, A, Ahilan, S, Rajakumar, P, William, A, Mabel Rose R., Rajaretnam, Subraja, A, Azhagu Jaisudhan Pazhani, and A, Ahilan

Abstract

Network security has grown to be a major concern in recent years due to the popularity and development of Wi-Fi networks. However, the use of Wi-Fi networks is expanding quickly, and so is the number of attacks on Wi-Fi networks. In this paper, a novel WiFi Unauthorized Access Detection System (WUADS) technique has been proposed to detect unauthorized access in the WiFi network. Initially, the Wi-Fi frames are collected from the AWID dataset. The features of the Wi-Fi frame are extracted by using Principal Component Analysis (PCA). Finally, the Deep Belief Network (DBN) is employed for classification into authorized access and unauthorized access. The efficiency of the proposed WUADS technique was evaluated based on the parameters like accuracy, F1score, detection rate, precision, and recall. The performance analysis of the proposed WUADS technique achieves an overall accuracy range of 99.52%. The proposed WUADS method has a high success rate and the quickest attack detection time compared to deep learning techniques like CNN, RNN, and ANN. The proposed WUADS improves the overall accuracy better than 1.12%, 0.1%, and 14.22% comparative analysis of the SAE (Stacked AutoEncoder), WNIDS (wireless Network Intrusion Detection System), and 3D-ID (3 Dimensional-Identification) respectively.

Published
2024

37. Correction: Epidemiology and outcomes of early-onset AKI in COVID-19-related ARDS in comparison with non-COVID-19-related ARDS: insights from two prospective global cohort studies (Critical Care, (2023), 27, 1, (3), 10.1186/s13054-022-04294-5)

Author

McNicholas B. A., Mcnicholas, B, Rezoagli, E, Simpkin, A, Khanna, S, Suen, J, Yeung, P, Brodie, D, Bassi, G, Pham, T, Bellani, G, Fraser, J, Laffey, J, Al-Dabbous, T, Alfoudri, H, Shamsah, M, Alhadad, Q, Hanan, M, Elapavaluru, S, Berg, A, Horn, C, Abdelhalim, A, Amer, A, Elnaggar, C, Hassan, A, Abdelaziz, A, Abdelhalim, M, Orabi, Y, Alaraji, Z, Muhaisen, M, Almasri, L, Mustafa, D, Hamdan, S, Al-Saba'a, Y, Dalloul, Z, Alkahlout, M, Jaber, H, Aldabbourosama, O, Hussein, A, Emad, Z, Khaled, S, Mohamed, N, Hassanin, E, Hamdi, A, Ragab, A, Azizeldin, M, Mayasi, Y, Schroll, S, Meyer, D, Velazco, J, Ploskanych, L, Fikes, W, Bagewadi, R, Dao, M, White, H, Laviena, A, Ehlers, A, Shalabi-McGuire, M, Witt, T, Grazioli, L, Lorini, L, Grandin, E, Nunez, J, Reyes, T, O'Briain, D, Hunter, S, Ramanan, M, Affleck, J, Veerendra, H, Rai, S, Russell-Brown, J, Nourse, M, Joseph, M, Mitchell, B, Tenzer, M, Abe, R, Cho, H, Jeong, I, Rahman, N, Kakar, V, Sun, H, Hanley, A, Brozzi, N, Mehkri, O, Krishnan, S, Duggal, A, Houltham, S, Graf, J, Diaz, R, Orrego, R, Delgado, C, Gonzalez, J, Sanchez, M, Piagnerelli, M, Sarrazin, J, Zabert, G, Espinosa, L, Delgado, P, Delgado, V, Rincon, D, Yanten, A, Duque, M, Abouelmagd, K, Elhazmi, A, Al-Hudaib, A, Javidfar, J, Callahan, M, Dong, A, D'Orleans, C, Taufik, M, Wardoyo, E, Gunawan, M, Trisnaningrum, N, Irawany, V, Rayhan, M, Panigada, M, Pesenti, A, Zanella, A, Grasselli, G, Colombo, S, Martinet, C, Florio, G, Antonelli, M, Carelli, S, Grieco, D, Asaki, M, Hoshino, K, Salazar, L, Monsalve, M, Cosgrave, D, Atif, M, Qutishat, F, Laffey, C, Van Der Walt, M, Mccaffrey, J, Bone, A, Hakeem, Y, Winearls, J, Tallott, M, Thomson, D, Joubert, I, Arnold-Day, C, Piercy, J, van Zyl Smit, R, Miller, M, Seymour, L, van Heyningen, F, Teyangesikayi, G, Fredericks, D, Hssain, A, Aliudin, J, Alqahtani, A, Mohamed, K, Mohamed, A, Tan, D, Villanueva, J, Zaqout, A, Kurtzman, E, Ademi, A, Dobrita, A, El Aoudi, K, Segura, J, Giwangkancana, G, Ohshimo, S, Osatnik, J, Joosten, A, 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M., Altarakma H., Albannay H., Alsaleh M. K., Radwan M. S. A., Saadallah I. A., Tanaka H., Hashimoto S., Yamazaki M., Oh T. -H., Epler M., Forney C., Kruse L., Feister J., Williamson J., Grobengieser K., Gnall E., Golden S., Caroline M., Shapiro T., Karaj C., Thome L., Sher L., Vanderland M., Welch M., McDermott S., Brain M., Mineall S., Unwin M., Chen L., Trezise T., McKeon L., Kimura D., Brazzi L., Sales G., Montrucchio G., Ogston T., Nagpal D., Fischer K., Lorusso R., van Bussell B., De Piero M. E., Mariani S., Rangappa R., Shetty R. M., Rai P. S., Ganesan A., Esperatti M., Fuentes N. A., Gonzalez M. E., Carton E. G., Sen A., Palacios A., Rainey D., Samoukoviv G., Campisi J., Durham L., Neumann E., Seefeldt C., Falcucci O., Emmrich A., Guy J., Johns C., Potzner K., Zimmermann C., Espinal A., Buchtele N., Schwameis M., Korhnfehl A., Brock R., Staudinger T., Stecher S. -S., Barnikel M., Anton S., Pawlikowski A., Zaaqoq A., Galloway L. A., Merley C., Nichol A., Csete M., Quesada L., Saba I., Kasugai D., Hiraiwa H., Tanaka T., Marwali E., Purnama Y., Dewayanti S. R., Juzar D. A., Siagian D., Chen Y. -S., Ogino M., Nasa P., Matthew C., Majeed N. A., Ratsep I., Post A. -M., Sillaots P., Krund A., Lehiste M. -H., Lepik T., Manetta F., Mihelis E., Sarmiento I. C., Narasimhan M., Varrone M., Komats M., Garcia-Diaz J., Harmon C., Satyapriya S. V., Bhatt A., Mokadam N. A., Uribe A., Gonzalez A., Shi H., McKeown J., Pasek J., Fiorda J., Echeverria M., Moreno R., Zakhary B., Cavana M., Cucino A., Foti G., Giani M., Fumagalli B., Chiumello D., Castagna V., Dell'Amore A., Navalesi P., Shum H. -P., Vuysteke A., Usman A., Acker A., Smood B., Mergler B., Sertic F., Subramanian M., Sperry A., Rizer N., Burhan E., Rasmin M., Akmal E., Sitompul F., Lolong N., Naivedh B., Erickson S., Barrett P., Dean D., Daugherty J., Loforte A., Khan I., Quraishi M. A., DeSantis O., So D., Kandamby D., Mandei J. M., Natanael H., YudhaLantang E., Lantang A., Wijaya S. O., Jung A., Ng G., Ng W. Y., Ng P. Y., Fang S., Tabah A., Ratcliffe M., Duroux M., Alajeeli A., Tarhabat A., Adachi S., Nakao S., Blanco P., Prieto A., Sanchez J., Nicholson M., Butt W., Serratore A., Delzoppo C., Janin P., Yarad E., Totaro R., Coles J., Pujo B., Balk R., Vissing A., Kapania E., Hays J., Fox S., Yantosh G., Mishin P., Yuliarto S., Santoso K. H., Djajalaksana S., Fatoni A. Z., Fukuda M., Liu K., Pelosi P., Battaglini D., Jimenez J. F. M., Bastos D., Gaiao S., Rusmawatiningtyas D., Cho Y. -J., Lee S. H., Kawasaki T., Munshi L., Sakiyalak P., Nitayavardhana P., Elagili M. B., Salem T. A. A., Seitz T., Arora R., Kent D., Marino D., Parwar S., Cheng A., Miller J., Fujitani S., Shimizu N., Madhok J., Owyang C., Buscher H., Reynolds C., Maasikas O., AleksanBeljantsev, Mihnovits V., Akimoto T., Aizawa M., Horibe K., Onodera R., Hodgson C., Burrell A., Young M., George T., Shekar K., McGuinness N., Irvine L., Flynn B., Endo T., Sugiyama K., Shimizu K., Fan E., Exconde K., Ichiba S., Binnawara M., Lussier L., Lotz G., Malfertheiner M., Maier L., Dreier E., Kusumastuti N. P., McCloskey C., Dabaliz A. -A., Elshazly T. B., Smith J., Szuldrzynski K. S., Bielanski P., Wille K., Murthy S., Parhar K. K. S., Fiest K. M., Codan C., Shahid A., Fayed M., Evans T., Garcia R., Gutierrez A., Song T., Rose R., Bennett S., Richardson D., Peek G., Arora L., Rappapport K., Rudolph K., Sibenaller Z., Stout L., Walter A., Herr D., Vedadi N., Bartlett R., Thompson S., Hoffman J., Ying X., Williams B., Sanchez E., Akwani C., Kennedy R., Elhadi M., Griffee M., Mone M., Ciullo A., Kida Y., Roca R. F., Riera J. I., Contreras S., Alegre C., Kay C., Fischer I., Renner E., Taniguci H., Lee J., Plotkin D., Citarella B. W., Merson L., Hartley E., Lubis B., Ikeyama T., Alhamad A., Fathi M., Hadhoud M. M., Alhouri H., Mechi A., Alyasiri M. S., Elsaid M. Z. A., Shahla H., Bhaskar B., Jung J. -S., McGuinness S., Eastwood G., Marta S. R., Guarracino F., Gerle S., Coxon E., Claro B., Eleisawy M., Osama H., Loverde D., Patil N., Parrini V., McBride A., Negaard K., Ratsch A., Uribe J. D., Peris A., Sanders M., Emerson D., Kamal M., Faida H., Povoa P., Francis R., Cherif A., Joseph S., Di Nardo M., Heard M., Kyle K., Blackwell R. A., Ouyahia A., Biston P., Jeong H. W., Smith R., Prawira Y., Garcia A. H., Salterain N., Meyns B., Elnasser M., Moreno M., Walia R., Mehta A., Schweda A., Williams M., EmadAmkhatirah, Kim K. H., Assad A., Giraldo E., Karolak W., Balik M., Pocock E., Gajkowski E., Masafumi K., Barrett N., Takeyama Y., Park S., Amin F., Andriyani F. M., Sudakevych S., Schnur J., Vera M., Cornejo R., Schwarz P., Mardini A. C., de Paula T., Neto A. S., Villoldo A., Colafranceschi A. S., Iglesias A. U., Granjean J., Melro L. M. G., Romualdo G. F., Gaia D., Souza H., Galas F., Mendiluce R. M., Sosa A., Martinez I., Kurosawa H., Almoshantaf M. B., Salgado J., Hugi-Mayr B., Charbonneau E., Barzilai V. S., Monteiro V., de Souza R. R., Harper M., Siddig N., Suzuki H., Adams C., Brieva J., Khamees A., Graige F., Supriatna M., Nyale G., Eltatar F. S., Fatani J., Baeissa H., Masri A. A. L., Rabie A., Hui M. Y., Yamane M., Jung H., Margaret A. 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A., Merley C., Nichol A., Csete M., Quesada L., Saba I., Kasugai D., Hiraiwa H., Tanaka T., Marwali E., Purnama Y., Dewayanti S. R., Juzar D. A., Siagian D., Chen Y. -S., Ogino M., Nasa P., Matthew C., Majeed N. A., Ratsep I., Post A. -M., Sillaots P., Krund A., Lehiste M. -H., Lepik T., Manetta F., Mihelis E., Sarmiento I. C., Narasimhan M., Varrone M., Komats M., Garcia-Diaz J., Harmon C., Satyapriya S. V., Bhatt A., Mokadam N. A., Uribe A., Gonzalez A., Shi H., McKeown J., Pasek J., Fiorda J., Echeverria M., Moreno R., Zakhary B., Cavana M., Cucino A., Foti G., Giani M., Fumagalli B., Chiumello D., Castagna V., Dell'Amore A., Navalesi P., Shum H. -P., Vuysteke A., Usman A., Acker A., Smood B., Mergler B., Sertic F., Subramanian M., Sperry A., Rizer N., Burhan E., Rasmin M., Akmal E., Sitompul F., Lolong N., Naivedh B., Erickson S., Barrett P., Dean D., Daugherty J., Loforte A., Khan I., Quraishi M. A., DeSantis O., So D., Kandamby D., Mandei J. 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A., Seitz T., Arora R., Kent D., Marino D., Parwar S., Cheng A., Miller J., Fujitani S., Shimizu N., Madhok J., Owyang C., Buscher H., Reynolds C., Maasikas O., AleksanBeljantsev, Mihnovits V., Akimoto T., Aizawa M., Horibe K., Onodera R., Hodgson C., Burrell A., Young M., George T., Shekar K., McGuinness N., Irvine L., Flynn B., Endo T., Sugiyama K., Shimizu K., Fan E., Exconde K., Ichiba S., Binnawara M., Lussier L., Lotz G., Malfertheiner M., Maier L., Dreier E., Kusumastuti N. P., McCloskey C., Dabaliz A. -A., Elshazly T. B., Smith J., Szuldrzynski K. S., Bielanski P., Wille K., Murthy S., Parhar K. K. S., Fiest K. M., Codan C., Shahid A., Fayed M., Evans T., Garcia R., Gutierrez A., Song T., Rose R., Bennett S., Richardson D., Peek G., Arora L., Rappapport K., Rudolph K., Sibenaller Z., Stout L., Walter A., Herr D., Vedadi N., Bartlett R., Thompson S., Hoffman J., Ying X., Williams B., Sanchez E., Akwani C., Kennedy R., Elhadi M., Griffee M., Mone M., Ciullo A., Kida Y., Roca R. F., Riera J. I., Contreras S., Alegre C., Kay C., Fischer I., Renner E., Taniguci H., Lee J., Plotkin D., Citarella B. W., Merson L., Hartley E., Lubis B., Ikeyama T., Alhamad A., Fathi M., Hadhoud M. M., Alhouri H., Mechi A., Alyasiri M. S., Elsaid M. Z. A., Shahla H., Bhaskar B., Jung J. -S., McGuinness S., Eastwood G., Marta S. R., Guarracino F., Gerle S., Coxon E., Claro B., Eleisawy M., Osama H., Loverde D., Patil N., Parrini V., McBride A., Negaard K., Ratsch A., Uribe J. D., Peris A., Sanders M., Emerson D., Kamal M., Faida H., Povoa P., Francis R., Cherif A., Joseph S., Di Nardo M., Heard M., Kyle K., Blackwell R. A., Ouyahia A., Biston P., Jeong H. W., Smith R., Prawira Y., Garcia A. H., Salterain N., Meyns B., Elnasser M., Moreno M., Walia R., Mehta A., Schweda A., Williams M., EmadAmkhatirah, Kim K. H., Assad A., Giraldo E., Karolak W., Balik M., Pocock E., Gajkowski E., Masafumi K., Barrett N., Takeyama Y., Park S., Amin F., Andriyani F. M., Sudakevych S., Schnur J., Vera M., Cornejo R., Schwarz P., Mardini A. C., de Paula T., Neto A. S., Villoldo A., Colafranceschi A. S., Iglesias A. U., Granjean J., Melro L. M. G., Romualdo G. F., Gaia D., Souza H., Galas F., Mendiluce R. M., Sosa A., Martinez I., Kurosawa H., Almoshantaf M. B., Salgado J., Hugi-Mayr B., Charbonneau E., Barzilai V. S., Monteiro V., de Souza R. R., Harper M., Siddig N., Suzuki H., Adams C., Brieva J., Khamees A., Graige F., Supriatna M., Nyale G., Eltatar F. S., Fatani J., Baeissa H., Masri A. A. L., Rabie A., Hui M. Y., Yamane M., Jung H., Margaret A. M., Nacpil N., Ruck K., Bakken R., Jara C., Felton T., Tharwat S., Berra L., Shah B., Chakraborty A., Cardona M., Capatos G., Akkanti B., Orija A., Jain H., Ito A., Muftah M., Housni B., Aldhalia A., Low S., Iihara K., Chavez J., Ramanathan K., Naidoo K., Seppelt I., VanDyk M., MacDonald S., Hafez W., McGregor R., Siebenaler T., Flynn H., Lofton K., Aokage T., Kvirkvelia B., Shigemitsu K., Moscatelli A., Fiorentino G., Baumgaertel M., Mba S. E., Assy J., Hutahaean A., Roush H., Sichting K. A., Alessandri F., Burns D., Alkhubouli T. H., Nasrallah A., Salt G., Garabedian C. P., Millar J., Sim M., Mattke A., McAuley D., Tadili J., Frenzel T., Bar-Lavie Y., Ortiz A. B., Stone J., Attokaran A., Farquharson M., Patel B., Gunning D., Baillie K., Adem S., Watson P., Tamai K., Sajinadiyasa G. K., Kanyawati D., Salgado M., Sassine A., Yudo B., McCaul S., Lee B., Lee S. M., Afek A., Iwashita Y., Fadlalmola H., Semedi B. P., Mansour N. M., Metiva J., Van Belle N., Martin-Loeches I., Al-Sadawi M., Kirakli C., Shimaa A. -T., Abdurraouf A., Ivatt L., Moharam S., Woon C. Y., Kang H. M., Smith T., James E., Al-Rawas N., Almjersah A., Iwasaki Y., Ashour H., Embarek H., King-Chung K. C., Gudzenko V., Taccone F., Perdhana F., Lamarche Y., Ribeiro J. M., Bradic N., Van den Bossche K., Lansink O., Singh G., Debeuckelaere G., Stelfox H. T., Yi C., Elia J., Tribble T., Shankar S., Padmanabhan R., Hallinan B., Paoletti L., Leyva Y., Fykuda T., Badulak J., Koch J., Janowaik L., Hackman A., Hernandez D., Osofsky J., Donadello K., Lawang A., Fine J., Davidson B., Vazquez A. O. R., and Abdehaleem I.

Abstract

Following publication of the original article [1], the authors identified that the collaborating authors part of the collaborating author group CCCC Consortium was missing. The collaborating author group is available and included as Additional file 1 in this article.

Published
2023

38. Perineuronal nets in the rat medial prefrontal cortex alter hippocampal-prefrontal oscillations and reshape cocaine self-administration memories

Author

Wingert, Jereme C., primary, Ramos, Jonathan D., additional, Reynolds, Sebastian X., additional, Gonzalez, Angela E., additional, Rose, R. Mae, additional, Hegarty, Deborah M., additional, Aicher, Sue A., additional, Bailey, Lydia G., additional, Brown, Travis E., additional, Abbas, Atheir I., additional, and Sorg, Barbara A., additional

Published
2024
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39. Perineuronal Nets in the Rat Medial Prefrontal Cortex Alter Hippocampal–Prefrontal Oscillations and Reshape Cocaine Self-Administration Memories.

Author

Wingert, Jereme C., Ramos, Jonathan D., Reynolds, Sebastian X., Gonzalez, Angela E., Rose, R. Mae, Hegarty, Deborah M., Aicher, Sue A., Bailey, Lydia G., Brown, Travis E., Abbas, Atheir I., and Sorg, Barbara A.

Subjects
RATS, PERINEURONAL nets, INTERNEURONS, PREFRONTAL cortex, COCAINE-induced disorders, RECOLLECTION (Psychology), COCAINE
Abstract

The medial prefrontal cortex (mPFC) is a major contributor to relapse to cocaine in humans and to reinstatement in rodent models of cocaine use disorder. The output from the mPFC is potently modulated by parvalbumin (PV)-containing fast–spiking interneurons, the majority of which are surrounded by perineuronal nets. We previously showed that treatment with chondroitinase ABC (ABC) reduced the consolidation and reconsolidation of a cocaine conditioned place preference memory. However, selfadministration memories are more difficult to disrupt. Here we report in male rats that ABC treatment in the mPFC attenuated the consolidation and blocked the reconsolidation of a cocaine self-administration memory. However, reconsolidation was blocked when rats were given a novel, but not familiar, type of retrieval session. Furthermore, ABC treatment prior to, but not after, memory retrieval blocked reconsolidation. This same treatment did not alter a sucrose memory, indicating specificity for cocaine-induced memory. In naive rats, ABC treatment in the mPFC altered levels of PV intensity and cell firing properties. In vivo recordings from the mPFC and dorsal hippocampus (dHIP) during the novel retrieval session revealed that ABC prevented reward-associated increases in high-frequency oscillations and synchrony of these oscillations between the dHIP and mPFC. Together, this is the first study to show that ABC treatment disrupts reconsolidation of the original memory when combined with a novel retrieval session that elicits coupling between the dHIP and mPFC. This coupling after ABC treatment may serve as a fundamental signature for how to disrupt reconsolidation of cocaine memories and reduce relapse. [ABSTRACT FROM AUTHOR]

Published
2024
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40. The Intersection Of Ai And Hr: Understanding Its Effects On Employee Engagement, Performance, And Security.

Author

R., Sunita John, D., Jerusha Irene Chitra, Rose, R. Leema, J., Minothi, and Porselvi, T.

Subjects
PERSONNEL management, JOB performance, JOB security, JOB involvement, ARTIFICIAL intelligence
Abstract

This paper deals with the relationship between the implementation of Artificial Intelligence in HR processes and its outcomes in terms of employee engagement, performance, and job security. As AI tools become increasingly integrated within HR management, it is crucial to understand how such technologies impact the perceptions and behavior of employees. The correlation and regression analyses on the literature review show that AI has a positive effect on employee engagement and performance but also exacerbates job insecurity. Thus, the study highlights that balance is necessary for organizations in organizing advantages deriving from AI with proactive initiatives dealing with aspects related to job security and performance legitimacy. [ABSTRACT FROM AUTHOR]

Published
2024

41. Enhanced power factor and suppressed lattice thermal conductivity of CoSb3 skutterudite via Ni substitution and nanostructuring for high thermoelectric performance.

Author

Annie Victoria Rose, R., Sidharth, D., Arivanandhan, M., and Jayavel, R.

Subjects
*SKUTTERUDITE, *SEEBECK coefficient, *PHONON scattering, *ELECTRICAL resistivity, *RAMAN spectroscopy, *TRANSMISSION electron microscopy, *THERMAL conductivity
Abstract

Nanostructured Ni-substituted Co1−xNixSb3 (0 ≤ x ≤ 0.08) samples were synthesized using a hydrothermal method. X-ray diffraction analysis confirmed the phase purity of the samples, and a secondary phase was observed in samples with higher Ni substitution ratios (x ≥ 0.06). SEM and TEM images reveal the spherical morphology of the samples with monodispersed particles. Different modes of optic phonon vibrations were observed in Raman spectra, and the intensity of the peaks increased with Ni content and slightly decreased in samples with x values ≥0.06. The electrical resistivity of the samples decreased with Ni content up to an x value of 0.06 and slightly increased in Co0.92Ni0.08Sb3 due to secondary phase formation. The positive Seebeck coefficient values of pure CoSb3 confirm that holes were the majority carriers, whereas the negative Seebeck coefficients of Co1−xNixSb3 samples reveal that Ni substitution enhanced electron concentration in the sample. Co0.96Ni0.04Sb3 exhibited a higher power factor compared with other samples due to its low resistivity. Ni substitution in CoSb3 effectively reduced lattice thermal conductivity (κL) as Co0.96Ni0.04Sb3 showed a lower κL of 2.0 W m−1 K−1 than that of the pure sample due to nanostructuring and the rattling effect of Ni. As a result, a figure of merit of 1.72 was achieved at 553 K for the Co0.96Ni0.04Sb3 sample. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Gallery Walk technique in enhancing reading comprehension and oral English language proficiency of junior high school students

Author

Mary Kathleen Rose R. Lopez and Ruth Ortega-Dela Cruz

Subjects
Education
Abstract

The study used quasi-experimental research with pre-test and post-test design approach to analyse the effectiveness of using the Gallery Walk technique in enhancing reading comprehension and oral English language proficiency among junior high school students. Cluster sampling technique was used in determining the respondents who experienced the Gallery Walk teaching technique and those who experienced the conventional teaching technique. Pre-test result showed no differences in the level of reading comprehension and oral English language proficiency prior to the experiment. After the implementation of the study, post-test was given, and results revealed differences in the students’ performance. Findings revealed that the students who were taught using the Gallery Walk technique showed improvement in reading comprehension and oral English language proficiency as compared to those who underwent the conventional teaching technique. In addition, students had positive feedback about the implementation of Gallery Walk. Finally, the study recommended the use of the Gallery Walk technique in teaching English 8 for enhancing reading comprehension and oral English language proficiency.

Published
2022
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48. Description of the larva of Vestalis melania (Selys, 1873) (Odonata: Calopterygidae) identified through DNA barcoding

Author

Don Mark E. Guadalquiver, null Olga M. Nuneza, Sharon Rose R. Tabugo, and null Reagan Joseph T. Villanueva

Subjects
Animal Science and Zoology, Management, Monitoring, Policy and Law, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
Abstract

The larva of Vestalis melania is described and illustrated for the first time, based on specimens collected from Malaybalay, Bukidnon, Philippines. The identity of the larva was confirmed by matching its mitochondrial COI sequence with the adult. The larva can be distinguished by the shape of the prementum and its median cleft, lateral gills, and posterolateral abdominal spines. Comparison with other known larvae in the genus is also provided. The significance of using DNA barcoding for identifying larvae of Philippine Odonata is emphasized.

Published
2022
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49. Supramolecular Polyphenol-DNA Microparticles for In Vivo Adjuvant and Antigen Co-Delivery and Immune Stimulation

Author

Qu, Y, De Rose, R, Kim, C-J, Zhou, J, Lin, Z, Ju, Y, Bhangu, SK, Cortez-Jugo, C, Cavalieri, F, Caruso, F, Qu, Y, De Rose, R, Kim, C-J, Zhou, J, Lin, Z, Ju, Y, Bhangu, SK, Cortez-Jugo, C, Cavalieri, F, and Caruso, F

Abstract

DNA-based materials have attracted interest due to the tunable structure and encoded biological functionality of nucleic acids. A simple and general approach to synthesize DNA-based materials with fine control over morphology and bioactivity is important to expand their applications. Here, we report the synthesis of DNA-based particles via the supramolecular assembly of tannic acid (TA) and DNA. Uniform particles with different morphologies are obtained using a variety of DNA building blocks. The particles enable the co-delivery of cytosine-guanine adjuvant sequences and the antigen ovalbumin in model cells. Intramuscular injection of the particles in mice induces antigen-specific antibody production and T cell responses with no apparent toxicity. Protein expression in cells is shown using capsules assembled from TA and plasmid DNA. This work highlights the potential of TA as a universal material for directing the supramolecular assembly of DNA into gene and vaccine delivery platforms.

Published
2023

50. Poly(ethylene glycol) Cross-Linked Antibody Nanoparticles for Tunable Biointeractions

Author

Hu, Y, Cortez-Jugo, C, Ju, Y, Zheng, T, Zhou, J, Lin, Z, De Rose, R, Hagemeyer, CE, Alt, K, Caruso, F, Hu, Y, Cortez-Jugo, C, Ju, Y, Zheng, T, Zhou, J, Lin, Z, De Rose, R, Hagemeyer, CE, Alt, K, and Caruso, F

Abstract

Liver accumulation of nanoparticles is a major challenge in nanoparticle-mediated delivery as it can reduce the delivery of the nanoparticles to their intended site and lead to liver damage and toxicity. Recent studies have shown that particle engineering, e.g., nanoparticle composition, can influence liver uptake and allow homing of nanoparticles to specific organs or tissues. Herein, we investigated the role of nanoparticle cross-linking on liver uptake. We developed a series of antibody nanoparticles (AbNPs) using various poly(ethylene glycol) (PEG) molecule (e.g., different arm numbers and arm lengths) cross-linkers. Specifically, AbNPs based on Herceptin were engineered with PEG cross-linker architectures ranging from 2-arm (at molecular weights of 600 Da, 2.5 kDa, and 5 kDa) to 4-arm and 8-arm via a mesoporous silica templating method. The molecular architecture of PEG modulated not only the targeting ability of the AbNPs in model cell lines but also their interaction with phagocytes in human blood. Increasing the PEG arm length from 600 Da to 5 kDa also reduced the uptake of the nanoparticles in the liver by 85%. Tumor accumulation of Herceptin AbNPs cross-linked with a 5 kDa 2-arm-PEG was 50% higher compared with control AbNPs and displayed similar liver uptake as free Herceptin. This study highlights the role of PEG cross-linking in receptor targeting and liver uptake, which influence tumor targeting, and combined with the versatility and multifunctionality of the antibody nanoparticle platform could lead to the development of organ-selective targeted antibody nanoparticle assemblies.

Published
2023

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