Memorial Foundation

Breast cancer is a kind of malignant tumor that mostly found in women which grows around the tissue of breast. During the process of diagnosis the cancer cells and non cancer cells are been identified and their count is made. If the count of cancer cells is greater than non cancer cells then the patient undergoes the treatments. The early detection of breast cancer can save the life of patient. Now a day's AI is playing a vital role in classifying cancer and non cancer cells in a accurate way. Many of the earlier researchers had performed the work of classifying them but, most of them lack in the accuracy. To have good accuracy a new method EBCS (Early Breast Cancer Screening) is proposed which consists of four steps or phases- preprocessing, classifying, performance evaluation and providing clear understanding to human.. To implement the four steps python programming is been used and cancer data set was extracted from Breast Cancer Wisconsin (Diagnostic) data set. The proposed method EBCS gave an accuracy of 99 percentage and complexity is also reduced.

Research publication is an expectation from, and academic responsibility of nursing faculty; yet many encounter barriers that hinder scholarly output. This study aimed to assess the knowledge and perceived barriers related to research publication and publication ethics among nursing teachers in India. The objectives were: to evaluate the level of expertise on research publication and ethics, to identify perceived barriers faced by nursing teachers and to analyse association between demographic variables and knowledge/barriers. It was a cross-sectional survey conducted among 76 nursing teachers from 23 teaching institutions across four regions of India. Participants were selected through convenience sampling. Data were collected via a structured online questionnaire comprising three sections. Reliability (Cronbach’s α = 0.82) and expert validation ensured tool accuracy; 43.4 percent of teachers demonstrated a moderate level of knowledge; 55.2 percent reported strong perceived barriers, with lack of time, insufficient institutional support, and inadequate research skills most frequently cited. The number of publications was significantly associated with perceived barriers (p = 0.021). Knowledge of research publication and ethics among nursing teachers is suboptimal, while barriers remain strongly perceived.

Filipinos believed that education is the only wealth that a parent can give to his child. That’s one of the reasons why most Filipino parents strived harder for their child’s education despite the thick and thin that they have encountered in life. This study explored on parents’ involvement and numeracy performance of the grade two learners and utilized a descriptive method of research. In particular, this study determined the profile of the parents in terms of highest educational attainment, combined monthly income, occupation, and number of family members; the numeracy performance of the learners in RMA BOSY and EOSY results; the level of parents’ involvement as to parenting, communicating, volunteering, learning at home, decision-making, and collaborating with community; and the challenges met by the teachers in developing the numeracy performance of the learners. Findings of the study showed, that there was a significant increase in the numeracy performance of the learners between RMA BOSY and EOSY results. Furthermore, results revealed that there was a significant relationship between the level of parents’ involvement and numeracy performance of the learners. Lack of foundational skills, inability of the learners to comprehend numeracy and mathematical concepts, and parent intervention were some of the challenges usually met by the teachers. Hence, to address this gap, an action plan was crafted and humbly proposed for the purpose of intensifying the parents’ involvement that would aid in developing the numeracy performance of the learners.

In this paper, I have outlined a real-time hybrid transportation safety system which combines visual detector of deep learning with expert-rule reasoning to monitor road multi-hazards. The framework that is to be proposed will use a fine-tuned YOLOv8 model to detect potholes and 85 classes of traffic signs among heterogeneous sources of data such as live web-cams, images, and video-feeds. There is an integrated expert-rule engine which treats perceived hazards immediately to voice alerts created through text-to-speech synthesis; this decreases driver response time and enhances situational awareness. This system attained an average precision (mAP) of 93.2% and precision of 0.89 as well as recall of 0.91 and inference in real time running at 26 frames per second at an average latency of 0.4 seconds. The obtained experimental data confirm that the developed hybrid model is more effective when compared to conventional YOLOv5 and YOLOv7 baselines in terms of accuracy and reactiveness. The system is designed to be lightweight with Streamlit interface as it exhibits some intelligent transportation application deployability. Ongoing research is targeted at domain adaptation to night and bad weather, multi-hazard risk score and increasing the range of sample regions to enhance generalization.

This paper dwells on the symbolic language-based approach pertinent to examination cheating in Tanzania's Tertiary education. The previous studies have focused in-depth on the factors for cheating, but the communication system for cheating needs investigation. The study used a case study design whereby three Tanzanian Universities were used under investigation. The study used 10 students, who had completed their third year one week ago, and they were selected purposively through a snowball sampling technique. The reason was that one week ago was the time when students did not fear as they were free from studies. Three methods of data collection were used: focus group discussion with ten (10) students who were selected purposively, observation during examinations, and document analysis. Two theories were used, namely the Curriculum Implementation theory and the Constructivism theory, for assessing the symbolic language technique for examination dishonesty. The former infers that implementation of any programme should be based on teacher ability, management of the support facilities, as well as the clarity of the implementer, and the latter refers to the learning and teaching theories for quenching competence-based approach via ‘Social Interaction’ which plays a fundamental role in the process of cognitive development. The study revealed seven techniques, such as lip and tooth shaping, tooth rolling, cuffing, tonicity, Fingerism, and abbreviations used by cheaters. Based on these findings, students can be helped to develop study habits that raise competencies in their academic endeavours; also, technologies can be designed to detect cheating, such as a camera in the examination rooms, which may make cheaters fear rather than depending on physical invigilation by invigilators.

Among salivary gland malignancies, mucoepidermoid carcinoma (MEC) often arises in the parotid gland and is less commonly found in the submandibular gland. This case report describes a 53-year-old Asian male patient presenting with a two-month history of insidious left submandibular swelling that progressed to pain in the preceding 10 days. Clinical examination revealed a firm, 3.5 cm x 2.5 cm mass with sublingual extension. Fine-needle aspiration cytology suggested salivary gland malignancy, confirmed by histopathological and immunohistochemistry analysis. To optimize access, surgical management involved en bloc resection of the left submandibular and sublingual glands with 1.5 cm margins, modified radical neck dissection (type III), and extraction of the left lower teeth from the lateral incisor to the second premolar. Histopathology confirmed intermediate-grade MEC with clear margins and focal perineural invasion. At follow-up, the patient remained disease-free with excellent functional outcomes, avoiding adjuvant radiotherapy. This case underscores the efficacy of multimodal diagnosis and tailored surgery for submandibular MEC, emphasizing the need for vigilant surveillance.

BACKGROUND&OBJECTIVES: Lateral cephalometric and panoramic radiographs are considered the gold standard in orthodontic diagnosis. Due to superimpositions, artifacts and hindrances, it becomes problematic to calculate the gonial angle on the lateral cephalogram.Because of twofold pictures of the mandible, it is hard to perceive and measure the gonial angle with reliability, while on panoramic radiograph we can measure both right and left angle individually. This study’s rationale was to compare gonial angle with different mandibular planes on panoramic & lateral cephalometric radiographs in class I malocclusion, for native population. METHODOLOGY: A cross sectional study, on 50 participants from Fatima Memorial Hospital. Gathered data was logged and examined in SPSS 20. Quantitative variables were expressed as mean and standard deviation. Categorization of gender and age was carried out to check distractors and independent t-test was used, with p-value ≤ 0.05 as significant statistically. RESULT: The patients in this study are, on average, 18.235 ±4 years old. Out of 50 patients, 19 (38%) were male and 31 (62%) were female. The majority of patients (33 (83.5%)) were between the ages of 15 to 20 years and 17 patients (16.5%) are in between 21 to 25 years of age. Mean value of Tweed’s mandibular plane on OPG and lateral cephalogram was 127±8.2497 and 124.820±8.7077 p-value = <0.05). Gender and age showed statistically insignificant differences in all other factor. CONCLUSION: This research concluded that tweeds mandibular plane shows equal reliability on lateral cephalogram and panoramic radiograph Pakistani origin.