Current Management Strategies in Breast Cancer by Targeting Key Altered Molecular Players

Breast Cancer is second largest disease affecting women worldwide. It remains the most frequently reported and leading cause of death among women in both developed and developing countries. Chemoprevention is one the promising approaches which reduces breast cancer. Tamoxifen and raloxifene are commonly used for treatment of breast cancer in women with high risk, although resistance occurs by tamoxifen after five years of therapy and both drugs cause uterine cancer and thromboembolic events. Aromatase inhibitors are coming up as potential option for prevention in treatment with adjuvant trials in practice. The combination of aromatase inhibitors along with tamoxifen can also be beneficial. For this, clinical trials based on large number of patients with optimal dose and lesser side effects have to be more in practice. Despite the clinical trials going on, there is need of better molecular models which can identify high risk population and new agents with better benefit having less side effects and improved biomarkers for treating breast cancer

ROLE OF OPERATION RESEARCH METHODS IN TRENDS OF LOGISTICS AND TRANSPORTATION

OR has been instrumental in making transportation processes more efficient, and companies compete to tackle complex logistics and transport problems in a way that has been competitive since its beginning. To improve decision-making,OR as a discipline of systemic nature has tackled the complexity of issues and interconnections among systems components. This study intends to view how OR methods are used in the latest transportation and logistics trends. Different Era's of the growth of OR's contributions to transportation and logistics with the development of information and communication technology (ICT) has been presented. This study filled a gap in the existing literature by describing the latest prevailing trends using OR methods in the context of transportation and logistics and the previous study. Results indicate that operational research is more important now than ever before, and can support new technologies and trends

Catalytic Framework: Intersectional Analysis for Community Engagement

The Community Engagement Centre (CEC) has been active across a range of diverse urban and rural populations throughout Pakistan and works closely with marginalised communities. The collective nature of Pakistani culture and its social inequities has required the CEC to recognize the intersections that shape contexts and situations, to promote local ownership, empower communities to identify and utilize existing resources for sustainable change, and improve health outcomes. Through an immersive community engagement (CE) strategy, CEC utilises participatory tools to collect stories from communities to understand their lived experiences, barriers and enablers to access, and the dynamics of power that influence these. To understand this complex relationship, a Catalytic Framework that examined the intersections within communities’ narratives was developed. Preliminary review of community narratives collected as part of programmatic operations yielded four significant elements: (1) unique, individual circumstances, (2) aspects of identity, (3) types of discrimination (if present), and (4) larger structures that reinforce exclusion (or enforce inclusion). A unique feature identified within the process of CE was the role of ‘catalysts’ – one or many people who may have transformative potential at any of these levels due to their influence, active facilitation, or agency. This novel framework enables an understanding of the threads of experience and identifying the elements and structures that impact lives of Pakistan’s diverse population. It works by recognizing the visible intersections of class, identity, gender, and power, as well as questioning what remains unarticulated, and thus promotes meaningful community engagement across different cultures and fields

A Comprehensive Study on Innovative AAC Solution for Enhancing Communication in Speech-Impaired Children

Augmentative and Alternative Communication (AAC) systems serve as crucial communication tools for children who face speech and language difficulties. This paper outlines the design and development of an AAC mobile application specifically tailored to address the communication needs of children, allowing them to effectively express their thoughts and feelings. The app is created with the flexible Flutter framework and Visual Studio Code. Key features include symbol-based communication, text-to-speech, customizable symbols, and voice output, all suited to the specific requirements of speech-impaired youngsters. The user-friendly design emphasizes accessibility with vivid iconography for increased interaction. The software is evaluated in the paper using user satisfaction measures, real-world usage in educational contexts, and visual input from user interactions. A comparative analysis with existing AAC apps highlights the strengths of the proposed solution. The conclusion emphasizes the crucial role AAC apps play in aiding communication for children with hearing impairments. Future improvements include real-time capabilities, advanced feature extraction, and collaborative elements for user-caregiver communication, aiming to advance accessibility and efficacy in communication tools for this user group. This research contributes significantly to enhancing communication tools for children with speech impairments

A Comprehensive Study on Innovative AAC Solution for Enhancing Communication in Speech-Impaired Children

Augmentative and Alternative Communication (AAC) systems serve as crucial communication tools for children who face speech and language difficulties. This paper outlines the design and development of an AAC mobile application specifically tailored to address the communication needs of children, allowing them to effectively express their thoughts and feelings. The app is created with the flexible Flutter framework and Visual Studio Code. Key features include symbol-based communication, text-to-speech, customizable symbols, and voice output, all suited to the specific requirements of speech-impaired youngsters. The user-friendly design emphasizes accessibility with vivid iconography for increased interaction. The software is evaluated in the paper using user satisfaction measures, real-world usage in educational contexts, and visual input from user interactions. A comparative analysis with existing AAC apps highlights the strengths of the proposed solution. The conclusion emphasizes the crucial role AAC apps play in aiding communication for children with hearing impairments. Future improvements include real-time capabilities, advanced feature extraction, and collaborative elements for user-caregiver communication, aiming to advance accessibility and efficacy in communication tools for this user group. This research contributes significantly to enhancing communication tools for children with speech impairments

Catalytic Framework: Intersectional Analysis for Community Engagement

The Community Engagement Centre (CEC) has been active across a range of diverse urban and rural populations throughout Pakistan and works closely with marginalised communities. The collective nature of Pakistani culture and its social inequities has required the CEC to recognize the intersections that shape contexts and situations, to promote local ownership, empower communities to identify and utilize existing resources for sustainable change, and improve health outcomes. Through an immersive community engagement (CE) strategy, CEC utilises participatory tools to collect stories from communities to understand their lived experiences, barriers and enablers to access, and the dynamics of power that influence these. To understand this complex relationship, a Catalytic Framework that examined the intersections within communities’ narratives was developed. Preliminary review of community narratives collected as part of programmatic operations yielded four significant elements: (1) unique, individual circumstances, (2) aspects of identity, (3) types of discrimination (if present), and (4) larger structures that reinforce exclusion (or enforce inclusion). A unique feature identified within the process of CE was the role of ‘catalysts’ – one or many people who may have transformative potential at any of these levels due to their influence, active facilitation, or agency. This novel framework enables an understanding of the threads of experience and identifying the elements and structures that impact lives of Pakistan’s diverse population. It works by recognizing the visible intersections of class, identity, gender, and power, as well as questioning what remains unarticulated, and thus promotes meaningful community engagement across different cultures and fields

MANAGING STUDENTS & EMPLOYEES THROUGH COLLEGE INFORMATION MANAGEMENT SYSTEM (CIMS) – A CASE STUDY: SHINAS COLLEGE OF TECHNOLOGY (SHCT), OMAN

Purpose: The objectives of the study were to critically analyze the effectiveness of CIMS in completing the registration / academic advising process at Shinas College of Technology and to critically analyze the effective functions of the CIMS to fulfill the role played by the CIMS. Design/methodology/approach: For this research study, Simple random sampling method in selecting the samples of the survey. 180 samples were collected which include the faculty, students and users of the College Information Management System (CIMS) from Shinas College of Technology (ICT). The collected data underwent analysis using the SPSS and the findings were interpreted. Findings: The study reveals that CIMS is characterized by its multiple functions; is user-friendly and flexible. CIMS has met the expectations of most of the users, despite the presence of a few technical problems requiring improvement.Educational Technology Center (ETC) ensures smooth, secure, safe and fast access. CIMS is subject to continuous assessment through periodic follow up by the Educational College Center from any external attacks etc. which is a welcoming feature. Research limitations/Implications: The study suggests that CIMS users should be given training on the updates and necessary training to the CIMS maintenance crew. Social implications: The study suggests thatthere is only a small group of individuals who handles and manages the entire program - installation of CIMS and periodic follow-up etc. and technical expertise is needed at the college level. Originality/Value: No study have ever examined the Information Management System of HEIs in Oman

An Efficient Fault Diagnostic Methodology with LWDA and DAGSVM for Industrial Processes

ince the advent of industry 4.0, many prevalent techniques and processes in the industry have been redesigned, leading to significant advancements in fault diagnosis methods. These methods can generally be categorized into three main categories: model-based, knowledge-based, and data-driven. Among these, data-driven methods are the most preferred due to the abundance of available data. The integration of machine learning into data-driven methods has become an active area of research. Many techniques with well-documented limitations and capabilities have been proposed in this context. However, when working with larger datasets, two critical challenges arise. First, datasets often contain features with high dimensionality, leading to feature redundancy. Second, larger datasets increase complexity, causing machine learning algorithms to perform poorly. To address these challenges, we present an efficient fault diagnostic methodology using LWDA and DAGSVM. The proposed methodology (i) preserves spatial relationships while reducing both dimensionality and data complexity, and (ii) achieves better classification accuracy for non-linear and overlapping data through optimized kernel approaches. We evaluate this methodology on a benchmark dataset, where experimental results demonstrate an accuracy of approximately 97.49%, outperforming existing approaches

Emergency Calls in the City of Vaughan (Canada) During the COVID-19 Pandemic: A Spatiotemporal Analysis

[EN] The COVID-19 pandemic has required governments to introduce various public health measures in order to contain and manage the pandemic’s unprecedented impacts in terms of illnesses and deaths. This study analyzes the spatiotemporal distribution of emergency incidents in Vaughan, a medium-sized city in the Canadian province of Ontario, comparing occurrences prior to and during the pandemic. Emergency calls received and responded to by the Vaughan Fire and Rescue Service were examined using spatial density and emerging hotspot analysis based on 11 periods of various public health measures and restrictions set in place from 17 March 2020 to 15 July 2021, as compared with corresponding pre-pandemic periods in the preceding three years (2017-2019). The resulting analyses show significant spatiotemporal changes in emergency incident patterns, particularly during periods of more stringent public health measures such as ‘stay at home’ orders or lockdowns of nonessential business establishments. Results of the study could provide useful insights for managing emergency service resources and operations during public health emergencies.This research has been conducted with financial support from the Social Sciences and Humanities Research Council of Canada (SSHRC) as part of its Partnership Engage Grants (PEG) COVID-19 Special Initiative. The Vaughan Fire and Rescue Service is the partner organization of the York University research team in this effort. The research work has been also supported by ADERSIM, funded by Ontario Research Fund (ORF).Asgary, A.; Solis, A.; Khan, N.; Wimaladasa, J.; Sabet, M. (2022). Emergency Calls in the City of Vaughan (Canada) During the COVID-19 Pandemic: A Spatiotemporal Analysis. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 197-204. https://doi.org/10.4995/CARMA2022.2022.1508719720