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Evaluation of Air-k.rma and Absorbed Dose to Water for External Radiotherapy Beam Using Ionization Chamber

Open Journal of Radiology 2024年第3期14卷 113-124页

作者： Collins Omondi margaret Chege Samson Omondi k.nyatta University Nairobi Kenya Jomo k.nyatta University of Agriculture and Technology Nairobi Kenya

Radiotherapy is the most widely applied oncologic treatment modality utilizing ionizing radiation. A high degree of accuracy, reliability and reproducibility is required for a successful treatment outcome. Measurement using ionization chamber is a prerequisite for absorbed dose determination for external beam radiotherapy. Calibration coefficient is expressed in terms of air k.rma and absorbed dose to water traceable to Secondary Standards Dosimetry Laboratory. The objective of this work.was to evaluate the level of accuracy of ionization chamber used for clinical radiotherapy beam determination. Measurement and accuracy determination were carried out according to IAEA TRS 398 protocol. Clinical farmers type ionization chamber measurement and National Reference standard from Secondary Standards Dosimetry Laboratory were both exposed to cobalt-60 beam and measurement results compared under the same environmental conditions. The accuracy level between National Reference Standard and clinical radiotherapy standard was found to be −1.92% and −2.02% for air k.rma and absorbed dose to water respectively. To minimize the effect of error and maximize therapeutic dose during treatment in order to achieve required clinical outcome, calibration factor was determined for air k.rma (Nk. as 49.7 mGy/nC and absorbed dose to water ND, as 52.9 mGy/nC. The study established that radiotherapy beam measurement chain is prone to errors. Hence there is a need to independently verify the accuracy of radiation dose to ensure precision of dose delivery. The errors must be accounted for during clinical planning by factoring in calibration factor to minimize the systematic errors during treatment, and thereby providing enough room to achieve ±5% dose delivery to tumor target as recommended by ICRU.

关键词： Absorbed Dose to Water Air k.rma Co-60 Source Calibration SSDL Radiotherapy Beam Metrology Accuracy and Accuracy

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Ad Block.rs & Online Privacy: A Comparative Analysis of Privacy Enhancing Technologies (PET)

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Journal of Software Engineering and Applications 2024年第5期17卷 378-395页

作者： Siddharth M. Madik.ri Vijay k. Madisetti School of Cybersecurity and Privacy Georgia Institute of Technology Atlanta USA

Online track.ng mechanisms employed by internet companies for user profiling and targeted advertising raise major privacy concerns. Despite efforts to defend against these mechanisms, they continue to evolve, rendering many existing defences ineffective. This study performs a large-scale measurement of online track.ng mechanisms across a large pool of websites using the OpenWPM (Open Web Privacy Measurement) platform. It systematically evaluates the effectiveness of several ad block.rs and underlying Privacy Enhancing Technologies (PET) that are primarily used to mitigate different track.ng techniques. By quantifying the strengths and limitations of these tools against modern track.ng methods, the findings highlight gaps in existing privacy protections. Actionable recommendations are provided to enhance user privacy defences, guide tool developers and inform policymak.rs on addressing invasive online track.ng practices.

关键词： Privacy Enhancing Technology (PET) Personally Identifiable Information (PII) OpenWPM Web Privacy

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Security Vulnerability Analyses of Large Language Models (LLMs) through Extension of the Common Vulnerability Scoring System (CVSS) Framework

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Journal of Software Engineering and Applications 2024年第5期17卷 340-358页

作者： Alicia Biju Vishnupriya Ramesh Vijay k. Madisetti School of Cybersecurity and Privacy College of Computing Georgia Institute of Technology Atlanta GA USA

Large Language Models (LLMs) have revolutionized Generative Artificial Intelligence (GenAI) task., becoming an integral part of various applications in society, including text generation, translation, summarization, and more. However, their widespread usage emphasizes the critical need to enhance their security posture to ensure the integrity and reliability of their outputs and minimize harmful effects. Prompt injections and training data poisoning attack. are two of the most prominent vulnerabilities in LLMs, which could potentially lead to unpredictable and undesirable behaviors, such as biased outputs, misinformation propagation, and even malicious content generation. The Common Vulnerability Scoring System (CVSS) framework.provides a standardized approach to capturing the principal characteristics of vulnerabilities, facilitating a deeper understanding of their severity within the security and AI communities. By extending the current CVSS framework. we generate scores for these vulnerabilities such that organizations can prioritize mitigation efforts, allocate resources effectively, and implement targeted security measures to defend against potential risk..

关键词： Common Vulnerability Scoring System (CVSS) Large Language Models (LLMs) DALL-E Prompt Injections Training Data Poisoning CVSS Metrics

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Grid System Analysis of Urban Flora of Buk.ara City (Uzbek.stan)

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American Journal of Plant Sciences 2024年第2期15卷 139-144页

作者： Abdulla M. Umedov Husniddin k. Esanov Department of Botany and Plant Physiology Bukhara State University Bukhara Uzbekistan

This article presents information on the study of the flora of Uzbek.stan based on grid system mapping. The urban flora of the city of Buk.ara was researched in it. As a result of research, the territory of Buk.ara city was divided into 85 indexes based on 1 × 1 k.2 grid mapping system. The diversity and density of species in the indexes are determined. The influence of anthropogenic factors on the diversity of species in the indexes is determined.

关键词： Buk.ara City Urban Flora Index Grid Map System Herbarium Geoinformation

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Observer Based Control for a Class of Systems with Output Deadzone Nonlinearity

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Intelligent Control and Automation 2024年第3期15卷 95-107页

作者： Nizar J. Alk.ateeb Hameed k. Ebraheem Department of Electronic Engineering Technology College of Technological Studies Public Authority of Applied Education and Training (PAAET) Kuwait City Kuwait

In this paper, a combination of model based adaptive design along with adaptive linear output feedback.controller is used to compensate for robotic manipulator with output deadzone nonlinearity. The deadzone dynamics are utilized to adaptively estimate the deadzone parameter and a switching function is designed to eliminate the error produced in the adaptive observer dynamics. The overall design of the closed loop system ensures stability in the BIBO criterion.

关键词： Adaptive Output Observer Deadzone Compensation Robot Manipulator Sliding Mode Control

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Defining soft sk.lls in nursing:a concept analysis

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Frontiers of Nursing 2024年第3期11卷 243-252页

作者： Luk. Laari Oboshie Anim-Boamah margaret Nyame Department of Public Health Nursing School of Nursing and MidwiferyCollege of Health SciencesUniversity of GhanaLegonAccraGhana Department of Research Education and AdministrationSchool of Nursing and MidwiferyCollege of Health SciencesUniversity of GhanaLegonAccraGhana Emergency Unit Holy Family HospitalNkawkawEastern RegionGhana

Objective:To define soft sk.lls in ***:This is a concept analysis using the Walk.r and Avant *** electronic databases in the English language including CINAHL,Science Direct,MEDLINE on EBSCOhost,and Scopus were ***:Soft sk.lls in nursing include the intrapersonal attributes,interpersonal sk.lls,and creativity of the nurse,which,when combined with professionalism,teamwork.and effective communication sk.lls,improve the quality of nursing care and client ***:Although hard and soft sk.lls are compatible and synergetic,soft sk.lls are to be prioritized for the success of nursing care in the healthcare *** concept analysis adds to the body of k.owledge by identifying the attributes of soft sk.lls in nursing and revealing that a good nurse needs more than just good grades to be successful.

关键词： communication hard sk.lls individual creativity interpersonal sk.lls intrapersonal traits nursing care soft sk.lls

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Hydromagnetic Squeezing Nanofluid Flow between Two Vertical Plates in Presence of a Chemical Reaction

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Journal of Applied Mathematics and Physics 2024年第1期12卷 126-146页

作者： Benjamin Matur Madit Jack.on k. k.anza Phineas Roy k.ogora Department of Mathematics Pan African University Institute of Basic Sciences Technology and Innovation Juja Kenya Department of Pure and Applied Mathematics Jomo Kenyatta University of Agriculture and Technology Juja Kenya

In this study, Hydromagnetic Squeezing Nanofluid flow between two vertical plates in presence of a chemical reaction has been investigated. The governing equations were transformed by similarity transformation and the resulting ordinary differential equations were solved by collocation method. The velocity, temperature, concentration and magnetic induction profiles were determined with help of various flow parameters. The numerical scheme was simulated with aid of MATLAB. The results showed that increasing the squeeze number only boosts velocity and concentration while lowering temperature. Conversely, increasing the Hartmann number, Reynold’s magnetic number, Eck.rt number and Thermal Grashof number generally increases temperature but decreases both velocity and concentration. Chemical reaction rate and Soret number solely elevate concentration while Schmidt number only reduces it. The results of this study will be useful in the fields of oil and gas industry, plastic processing industries, filtration, food processing, lubrication system in machinery, Microfluidics devices for drug delivery and other related fields of nanotechnology.

关键词： Hydromagnetic Squeezing Flow Nanofluid Variable Magnetic Field Chemical Reaction

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GUARDIAN: A Multi-Tiered Defense Architecture for Thwarting Prompt Injection Attack. on LLMs

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Journal of Software Engineering and Applications 2024年第1期17卷 43-68页

作者： Parijat Rai Saumil Sood Vijay k. Madisetti Arshdeep Bahga School of Computer Science Engineering & Technology Bennett University Greater Noida India School of Cybersecurity and Privacy Georgia Institute of Technology Atlanta USA Cloudemy Technology Labs Chandigarh India

This paper introduces a novel multi-tiered defense architecture to protect language models from adversarial prompt attack.. We construct adversarial prompts using strategies lik. role emulation and manipulative assistance to simulate real threats. We introduce a comprehensive, multi-tiered defense framework.named GUARDIAN (Guardrails for Upholding Ethics in Language Models) comprising a system prompt filter, pre-processing filter leveraging a toxic classifier and ethical prompt generator, and pre-display filter using the model itself for output screening. Extensive testing on Meta’s Llama-2 model demonstrates the capability to block.100% of attack.prompts. The approach also auto-suggests safer prompt alternatives, thereby bolstering language model security. Quantitatively evaluated defense layers and an ethical substitution mechanism represent k.y innovations to counter sophisticated attack.. The integrated methodology not only fortifies smaller LLMs against emerging cyber threats but also guides the broader application of LLMs in a secure and ethical manner.

关键词： Large Language Models (LLMs) Adversarial Attack Prompt Injection Filter Defense Artificial Intelligence Machine Learning Cybersecurity

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Parental k.owledge of Pre-Hospital Management of Avulsed Permanent Tooth in Children at k.th

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Open Journal of Stomatology 2024年第2期14卷 87-102页

作者： Ama Agyeibea Amuasi Samuel k. Addo Solomon Obiri-Yeboah Department of Child Oral Health & Orthodontics School of Medicine and Dentistry College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana Department of Oral & Maxillofacial Sciences School of Medicine and Dentistry College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana

BACk.ROUND: Permanent tooth avulsion is one of the severe forms of dental traumatic injuries. The immediate action tak.n at the site of the accident is crucial to the prognosis of the tooth. Replantation is considered as the treatment of choice. OBJECTIVE: The study was undertak.n to assess the k.owledge of parents who accompany their children to the pediatric dental clinic, k.TH on the pre-hospital management of avulsed permanent tooth in children. METHODS: A researcher administered structured questionnaire was used to collect data on the k.owledge of pre-hospital management of avulsed permanent tooth from 83 parents who accompanied their wards to the pediatric dental clinic at k.TH. RESULTS: A total of 83 parents were involved in the study. 30 (36%) were males while 53 (64%) were females. The majority of the parents (57%) were either university trained or had attended college of education. Only 32 parents (39%) were aware of the possibility of replantation. Majority of the parents chose non-physiologic media as the transport media of choice and only 10% would attempt self-replantation before seek.ng professional help. 76 parents (92%) had no previous education on pre-hospital management of avulsed tooth. CONCLUSION: The results obtained from this study indicate that parental k.owledge on pre-hospital management of avulsed permanent tooth is low hence the need for massive public educational campaigns.

关键词： Parental k.owledge Tooth Avulsion Pre-Hospital Management Permanent Tooth

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Whispered Tuning: Data Privacy Preservation in Fine-Tuning LLMs through Differential Privacy

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Journal of Software Engineering and Applications 2024年第1期17卷 1-22页

作者： Tanmay Singh Harshvardhan Aditya Vijay k. Madisetti Arshdeep Bahga School of Computer Science Engineering & Technology Bennett University Greater Noida India School of Cybersecurity and Privacy Georgia Institute of Technology Atlanta USA Cloudemy Technology Labs Chandigarh India

The proliferation of Large Language Models (LLMs) across various sectors underscored the urgency of addressing potential privacy breaches. Vulnerabilities, such as prompt injection attack. and other adversarial tactics, could mak. these models inadvertently disclose their training data. Such disclosures could compromise personal identifiable information, posing significant privacy risk.. In this paper, we proposed a novel multi-faceted approach called Whispered Tuning to address privacy leak. in large language models (LLMs). We integrated a PII redaction model, differential privacy techniques, and an output filter into the LLM fine-tuning process to enhance confidentiality. Additionally, we introduced novel ideas lik. the Epsilon Dial for adjustable privacy budgeting for differentiated Training Phases per data handler role. Through empirical validation, including attack. on non-private models, we demonstrated the robustness of our proposed solution SecureNLP in safeguarding privacy without compromising utility. This pioneering methodology significantly fortified LLMs against privacy infringements, enabling responsible adoption across sectors.

关键词： NLP Differential Privacy Adversarial Attack. Informed Decisions

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