Digital Commons Network^™

October 21, 2024, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Co-Creation Of Social Innovations For Healthy Ageing In Rural Europe–A Process Evaluation Of A Volunteer-Led Guided Conversation Toolkit Using Normalisation Process Theory (Npt), Mahrukh Mirza, Basharat Hussain, Shukru Esmene, Catherine Leyshon, Michael Leyshon, Arunangsu Chatterjee

Peninsula Medical School

We critically explored the use of Normalisation Process Theory (NPT) in the evaluation of a co-designed intervention toolkit for Healthy Ageing through Innovation in Rural Europe (HAIRE). The toolkit was co-designed and implemented in rural communities in Belgium, France, the Netherlands and the United Kingdom. NPT was applied as a novel analytical framework to shed light on key practices and processes that supported implementation. Further, the paper discusses how social innovation research helps frame co-designing such interventions with local communities. During the study, 25 semi-structured interviews were conducted with project partners and volunteers who were involved in toolkit co-design and …

Can Tourist Engagement Enhance Tourist Behavioural Intentions? A Combination Of Pls-Sem And Fsqca Approaches, Siamak Seyfi, S. Mostafa Rasoolimanesh, Ali Vafaei-Zadeh, Kourosh Esfandiar

Research outputs 2014 to 2021

This study aims to investigate the effects of tourist engagement dimensions on revisit and Word of Mouth (WOM) intentions of heritage tourists. The data were collected from domestic tourists in the heritage city of Kashan, Iran. To analyse the collected data, this study applies Partial Least Squares–Structural Equation Modelling (PLS-SEM) as a symmetric analysis technique, as well as fuzzy-set Qualitative Comparative Analysis (fsQCA) as an asymmetric analysis approach to strengthen the findings. The findings of PLS-SEM showed the significant effect of the absorption dimension on revisit intention, whereas these results demonstrated the significant effects of the dimensions of interaction, and …

Computer Science Students Place In Top Three At Regional Competition, Communications And Marketing

Campus News Archive

No abstract provided.

Book Review Of, Calling Family: Digital Technologies And The Making Of Transnational Care Collectives, Michele Gamburd

Anthropology Faculty Publications and Presentations

Book Review: Calling Family: Digital Technologies and the Making of Transnational Care Collectives

Dcai: The 4th International Workshop On Data-Centric Ai, Yanjie Fu, Kunpeng Liu, Dongjie Wang

Computer Science Faculty Publications and Presentations

Machine learning traditionally emphasizes developing models for given datasets, but real-world data is often messy, making model improvement insufficient for enhancing performance. Data-Centric AI (DCAI) is an emerging field that systematically improves datasets, leading to significant practical ML advancements. While experienced data scientists have manually refined datasets through trial-and-error and intuition, DCAI approaches data enhancement as a systematic engineering discipline. DCAI represents a shift from focusing on models to the underlying data used for training and evaluation. Despite the dominance of common model architectures and predictable scaling rules, building and using datasets remain labor-intensive and costly, lacking infrastructure and best …

Evaluating A Virtual Facilitation Workshop With Antimicrobial Stewardship Teams Within A Cluster Randomized Stepped-Wedge Trial, Sara Malone, Kelly Bono, Jacqueline M Saito, Shawn Rangel, Jingxia Liu, Jason G Newland, Virginia Mckay

2020-Current year OA Pubs

BACKGROUND: Antimicrobial stewardship programs (ASP) often function naturally as facilitators within clinical hospital settings, by working with individuals and teams to reduce unnecessary antibiotics. Within implementation science, facilitation has been studied and evaluated as an implementation strategy that can accelerate and improve fidelity to implementation efforts. This study describes a novel, virtual facilitation strategy developed and served as an intervention within the optimizing perioperative antibiotics for children trial (OPERATIC trial). This paper: (1) describes ASP team's preferences for and use of a facilitation workshop and (2) describes sustained use of facilitation skills throughout the study period.

METHODS: Study participants included …

Safety First: Unpacking Key Roles Of Arctic Adventure Guides, Barbara Olga Hild, Betty Weiler Professor

International Journal of Tour Guiding and Visitor Attraction Research

Building on past research on tour guides and guiding, this paper provides an in-depth examination of the safety management role of tour guides leading adventure trips. A review of previous literature identifies broad dimensions of tour guiding and, within these dimensions, specific guiding roles mainly in relation to communication. The current study’s qualitative examination of experienced Arctic guides, however, illustrates how environmental conditions contribute to near misses and points to safety management as an adventure guide’s fundamental role. The findings highlight the need for guide competence and certification and underpin recommendations for research in relation to guide education and practices …

Interviewed By Steven Schnell. Editor, The Geographical Bulletin, Minelle Mahtani

The Geographical Bulletin

Minelle Mahtani is currently an Assistant Professor of Geography at the University of Toronto. She holds a B.A. from Dalhousie University in anthropology, a Ph.D. in geography from University College London, and a postdoctoral position at the University of British Columbia. She has also had stints as a television producer for the Canadian Broadcasting Corporation, and working for a nonprofit organization, the Institute for Media, Policy, and Civil Society. Her research interests include critical mixed race theory; feminist geography, women of color in geography, media and minority representation, and geographies of media.

Workshop - Sustainability (Training Workshop), Sponsored By Evotec, Sara Badr, Priyanka Gupta

Integrated Continuous Biomanufacturing VI

No abstract provided.

Implementation Of Raman Spectroscopy For In-Line Monitoring Of Critical Process Parameters Of Cho Cell Perfusion Cultures, Ushma Mehta

Integrated Continuous Biomanufacturing VI

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Multi-Agent Reinforcement Learning For Smart Community Energy Management, Patrick Wilk, Ning Wang, Jie Li

Henry M. Rowan College of Engineering Departmental Research

This paper investigates a Local Strategy-Driven Multi-Agent Deep Deterministic Policy Gradient (LSD-MADDPG) method for demand-side energy management systems (EMS) in smart communities. LSD-MADDPG modifies the conventional MADDPG framework by limiting data sharing during centralized training to only discretized strategic information. During execution, it relies solely on local information, eliminating post-training data exchange. This approach addresses critical challenges commonly faced by EMS solutions serving dynamic, increasing-scale communities, such as communication delays, single-point failures, scalability, and nonstationary environments. By leveraging and sharing only strategic information among agents, LSD-MADDPG optimizes decision-making while enhancing training efficiency and safeguarding data privacy—a critical concern in the …

Comprehensive Framework For Collaborative Decision-Making In Evaluating Computer Network Security Using Interval Neutrosophic Information, Wenbao Qiao

Neutrosophic Sets and Systems

Computer network security (CNS) evaluation is crucial for protecting information assets and maintaining the stable operation of network systems. Through this evaluation, potential threats and vulnerabilities within the network can be systematically identified, effectively preventing possible cyber-attacks and data breaches. Additionally, network security evaluation helps enterprises and organizations allocate security resources appropriately, enhancing their ability to respond to emergencies and ensuring business continuity and data integrity. In summary, network security evaluation is one of the foundational tasks for achieving continuous, secure, and stable network operations. The CNS evaluation is multiple-attribute group decision making (MAGDM). Then, the generalized TODIM(GTODIM) approach has …

Improving Teaching Quality Assessment In Smart Classrooms For English Majors: An Integrated Double-Valued Neutrosophic Decision-Making Model, Lu Luo, Cong Wang

Neutrosophic Sets and Systems

The evaluation of multimedia-based college English teaching aims to assess the impact of multimedia technology on teaching quality and student learning outcomes. With the introduction of multimedia, classroom interactivity is enhanced, and students' interest and engagement are increased. Additionally, multimedia provides more opportunities for self-directed learning, helping students reinforce knowledge outside the classroom. However, the evaluation must focus on the alignment of technology with teaching objectives and whether the use of multimedia truly improves students' language skills and classroom efficiency. The evaluation of smart classroom teaching quality for English majors in universities is a multi-attribute decision-making (MADM) problem. Recently, methods …

The Public In Action: The Potential For Public Inquiries To Realize Deliberative Democracy A Case Study Of The Mass Casualty Commission, Grace Bryson

Dalhousie Journal of Legal Studies

Public inquiries have the potential to promote deliberative democracy. However, the current structure and procedures employed in public inquiries do not promote this goal. Rather, the procedures are based in adversarial methods that do not align with the diverse functions of public inquiries. This paper addresses these procedural shortcomings and seeks to encourage more fulsome public participation. Using the Mass Casualty Commission in Nova Scotia as a case study, this paper proposes procedural changes that could enhance the role of the public in future inquiries to lead to transformative and beneficial policy change.

Consumer Possessed: A Comment On Assessing Belk’S “Possessions And The Extended Self”, A. Fuat Firat

Marketing Faculty Publications

While outstanding in observing the contemporary experience of being a “consumer” to become a “canonical article” in consumer research, as Thompson deftly analyzes, Belk’s “Possessions and the Extended Self” is subject to varied traps of remaining within the “mainstream marketing’s ideological boat.” This commentary attempts to highlight these ideological traps as we hopefully escape contemporary capitalism’s system of production of consumer subjectivity.

Examination Of Musical Sophistication And Working Memory Correlates In High School Students, Abby South

LSU Doctoral Dissertations

Abstract

The purpose of this study was to examine the relationship between musical engagement and cognitive ability in high school students. While musicians’ brains have long been of interest to those who study experience-dependent neuroplasticity, a lack of adolescent data grossly limits our understanding of the relationship between music training and observed neuroplastic changes in the brain. Advances in psychometric testing and brain imaging reveal relationships among musical expertise, changes in brain function, structure, and connectivity, and enhanced cognitive ability, but categorical groupings of dichotomously defined musicians and non-musicians prevent nuanced understanding of these complex relationships. In this study, 83 …

Relational Analysis Framework With 2-Tuple Linguistic Neutrosophic Set For Building Material Supplier Selection, Cheng Yang

Neutrosophic Sets and Systems

Choosing building materials suppliers is crucial as it directly affects the quality, cost, and timeline of a project. Quality suppliers ensure the reliability and consistency of materials, reducing construction risks. The right suppliers offer competitive pricing and flexible delivery schedules, helping control budgets and optimize resource use. Additionally, suppliers' professional support and technical services can enhance construction efficiency and quality. By carefully selecting suppliers, project teams can establish long-term partnerships, improving overall construction standards and market competitiveness. Thus, supplier selection is a key factor in the success of construction projects. The process of selecting and applying building material suppliers (BMSs) …

Incorporating Intelligence In Multiple-Attribute Decision-Making Using Algorithmic Framework And Double-Valued Neutrosophic Sets: Varied Applications To Employment Quality Evaluation For University Graduates, Qiuyan Zhao, Wentao Li

Neutrosophic Sets and Systems

The evaluation of university employment quality is a comprehensive assessment of graduates' employment status and its alignment with market demands. This evaluation typically includes indicators such as employment rate, the relevance of job positions to majors, salary levels, job stability, and job satisfaction. By analyzing this data, universities can understand how graduates perform in the job market, assess the effectiveness of talent cultivation, and provide reference points for optimizing curriculum design, teaching methods, and industry-education integration. The employment quality evaluation for university graduates a MADM. Currently, Logarithmic TODIM (LogTODIM) and GRA techniques are employed to address MADM challenges. To handle …

Neutrosophic Fuzzy Power Management (Nfpm): Tackling Uncertainty In Energy Harvesting For Sensor Networks, Musallam M.Alzubi, Mohamed A.Mohamed, Hanan M. Amer, A.A. Salama

Neutrosophic Sets and Systems

This paper presents a novel approach known as Neutrosophic Fuzzy Power Management (NFPM) aimed at addressing the critical challenge of uncertain energy availability in Energy Harvesting Sensor Networks (EHWSNs). The main objective of this research is to enhance the management of energy resources within these networks, which traditional fuzzy logic methods often fail to do, leading to power failures and reduced reliability. NFPM utilizes neutrosophic logic to effectively model uncertainty by representing the degrees of truth, indeterminacy, and falsity of both harvested and residual energy levels. Through a fuzzy inference system, NFPM dynamically allocates energy budgets for each time slot …

An Effective Neutrosophic Approach For Group Decision-Making In College English Teaching Quality Evaluation, Bin Xie

Neutrosophic Sets and Systems

College English holds great importance in Chinese universities as one of the largest, most influential, and highly regarded foundational courses. Despite significant progress in reforming college English teaching (CET), its effectiveness has faced widespread criticism. To ensure and enhance the quality of CET, it is essential to explore the establishment of a quality evaluation mechanism. One such mechanism is the multiple attribute group decision-making (MAGDM) approach. Recently, the Exponential TODIM (ExpTODIM) and TOPSIS techniques have been employed to address MAGDM challenges. To capture uncertain data during the evaluation process, interval neutrosophic sets (INSs) are administrated as a valuable tool. This …

A Generalized Hybrid Distance Measure For Svns With An Application In Medical Diagnosis, Norzieha Mustapha, Suriana Alias, Roliza Md Yasin, Alia Nur Izzah Zulkifli, Noorazliyana Shafii, Florentin Smarandache

Neutrosophic Sets and Systems

A generalized hybrid distance measure of a single value neutrosophic set (SVNS) is proposed to analyze the patient’s factors and diseases. Since Neutrosophic Set (NS) may communicate contradictory and ambiguous information, it is a crucial and useful tool for modelling uncertainty information. A distance measure for NS information is a key tool that is always employed in many approaches including medical diagnostics. Several distance measures in NS can be found in the literature, however, only a few of them proposed hybrid techniques. This paper aims to develop a new distance measure by considering exponential function and to define new hybrid …

An Efficient Model For Satisfaction Evaluation Of College Students' Online Ideological And Political Education With Single-Valued Neutrosophic Numbers, Kelei Shi

Neutrosophic Sets and Systems

Under the background of big data, the evaluation of college students' satisfaction with online ideological and political education (IAPE) is primarily achieved through data mining and analysis techniques, allowing for a more comprehensive and accurate reflection of students' attitudes and feedback. By collecting data through online surveys, social media interactions, and other channels, educators can adjust the content and methods of teaching in real-time to better meet students' needs and improve the effectiveness and satisfaction of IAPE. The satisfaction evaluation of college students' online IAPE in the context of big data is a multi attribute group decision-making (MAGDM) problem. Recently, …

Evaluating University Crisis Management: A Neutrosophic Logtodim Framework For Public Opinion, Quansong Qi

Neutrosophic Sets and Systems

The evaluation of public opinion management capability for public crises in universities assesses the ability of universities to guide and handle public opinion during crises. The evaluation covers areas such as opinion monitoring, crisis response, information dissemination, and media communication. Through a systematic assessment, universities can improve their crisis management capabilities, reduce the spread of negative public opinion, and maintain campus stability and reputation. The public opinion management capability evaluation for public crises in universities is multiple-attribute group decision-making (MAGDM). Recently, the Logarithmic TODIM (LogTODIM) technique was interpreted to cope with MAGDM. The single-valued neutrosophic sets (SVNSs) are interpreted as …

Exptodim-Vikor Framework For Quality Evaluation Of University Educational Management Using Linguistic Neutrosophic Numbers, Wentao Li, Qiuyan Zhao

Neutrosophic Sets and Systems

University educational management quality evaluation is a systematic assessment of various elements involved in the educational management process of higher education institutions. Its goal is to analyze aspects such as management systems, resource allocation, faculty quality, student services, and curriculum design, measuring the impact of management practices on teaching outcomes to ensure educational objectives are met. This evaluation system helps improve the operational efficiency and teaching quality of universities, enhancing their reputation and aligning talent cultivation with societal needs. The quality evaluation of university educational management is a task well-suited for multi-attribute group decision making (MAGDM). Recently, the Exponential TODIM …

Neutrosophic Set-Based Psnn-Topsis Framework For Multi-Attribute Decision Making: Applications In Evaluating The Quality Of Environmental Art Design In Green Building Contexts, Yue Wang, Jiawei Zhao

Neutrosophic Sets and Systems

With the continuous advancement of urbanization and the continuous development of landscape design concepts, green landscape design under the green building system has become the main direction of future landscape design development, playing an important role in creating a beautiful, comfortable, and ecological modern urban landscape. In the future, it is necessary to further strengthen research on green landscape design, reflecting the relevant requirements of green building concepts in energy conservation, water conservation, land conservation, etc., so that urban landscape design can break away from noise and restlessness, and return to the essence of nature and ecology. The quality evaluation …

A Novel Framework For Gauging Information Extracted From Smartphones Using Neutrosophic Logic, R. M.Abou Alzahab, Amr Ismail, S.H.Abd Elkhalik, M.Y. Shams, H. M. El-Bakry, A. A. Salama

Neutrosophic Sets and Systems

Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information. Neutrosophic logic is a generalization of fuzzy logic that allows for uncertainty and vagueness, making it a more potent tool for dealing with the ambiguity of real-world data. The proposed framework aims to identify and utilize the most relevant information for forensic investigators, making it easier to solve criminal cases using Neutrosophic logic. This novel approach provides a more powerful …

Nsdtl: A Robust Malware Detection Framework Under Uncertainty, Alaa Elmor

Neutrosophic Sets and Systems

The Internet's rapid expansion and the current trends toward automation through intelligent systems have given malevolent software attackers a veritable playground. Numerous gadgets are effortlessly connected to the Internet, and a lot of data is being collected. Consequently, there is a growing concern about malware attacks and security threats. Malware detection has emerged as a research focus. However, there are challenges in the research, such as noise, uncertainty, and ambiguous data. The study proposes a novel framework NSDTL, that achieves state-of-the-art malware detection and classification results to address this changing threat landscape. NSDTL leverages a neutrosophic set and advanced transfer …

Single-Valued Neutrosophic Exptodim Technique For Quality Evaluation Of Mppt Controller Design For Photovoltaic Systems, Xiaobin Zheng, Guiqing Chen, Shita Huang, Lunsen Zou

Neutrosophic Sets and Systems

The significance of evaluating the design quality of Maximum Power Point Tracking (MPPT) controllers in photovoltaic systems lies in ensuring efficient and stable operation under various environmental conditions. By assessing the controller's tracking efficiency, dynamic response speed, steady-state error, and disturbance rejection capability, the system's energy output can be optimized, equipment lifespan extended, operating costs reduced, and overall system reliability and performance improved, thereby maximizing solar energy utilization efficiency. The quality evaluation of MPPT controller design for photovoltaic systems is framed as a multiple-attribute group decision-making (MAGDM) problem. Recently, the Exponential TODIM (ExpTODIM) approach has been introduced to address this …

Predicting Student Behavior Using A Neutrosophic Deep Learning Model, Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y.Shams, A. A. Salama

Neutrosophic Sets and Systems

We developed an information system using an object-oriented programming language and a distributed database (DDB) consisting of multiple interconnected databases across a computer network, managed by a distributed database management system (DDBMS) for easy access. An intelligent system was designed to assess the difficulty level of preliminary exams and select top-performing advanced students using a Neutrosophic Deep Learning Model. The dataset was randomly split into training (80%) and testing (20%) sets, and the model, trained with the Adam optimizer at a 0.001 learning rate over 50 epochs, incorporated early stopping based on validation loss. This system, implemented at a traditional …